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Recent real-time networking developments have enabled ultra reliability, very low latency and high data rates in wired networks. Wireless networking developments have also shown that they can achieve very high data rates with consistency, but they still lack in providing ultra reliability and extremely low latency. Time Sensitive Networking (TSN) developments have brought these capabilities in Industry automation and Automotive industry too. Although TSN is standardized for wired networks for a long time, for wireless networks it will be standardized within the IEEE 802.11be standard for Wi-Fi and 3GPP Release 17 for 5G in the near future. This paper provides an overview of TSN in wired and wireless networks with the aim of comparing different simulators and presenting their offered functionality and shortcomings. These tools can be used to make oneself familiar with TSN algorithms, standards, and for the development and testing of time sensitive networks. Afterwards, the paper discusses open research questions for using TSN over wireless networks.
Water retention properties of wood fiber based growing media and their impact on irrigation strategy
(2024)
Distribution of water and air in growing media during ebb-and-flow irrigation depends on water storage properties (water retention curve) and water transport properties (hydraulic conductivity) of the materials. Growing media with their high number of coarse pores are known to exhibit strong hysteresis, i.e., differences in the water retention properties during drying and wetting cycles. To account for potential ecological disadvantages of peat, wood fibers are commonly used as substitutes for peat in growing media. However, the wood fibers generally have higher air capacities and hydraulic conductivities and lower water capacities compared to peat which may results in necessary adaptions of the irrigation strategy. Tools to optimize irrigation systems are physically based water transport models, such as HYDRUS-1D, which is commonly used to describe water transport in soils, but not often for growing media. In this study, white peat and pure wood fibers were used to describe differences in their water retention behavior. Water retention curves (drying cycles) and hydraulic conductivities were measured with standard analytical procedures. Hysteresis of the water retention curves was analytically determined based on their capillary rise properties. The results were used with a modified HYDRUS-1D model to test model quality against measured water contents during ebb-and-flow irrigation cycles and to optimize the irrigation strategy for the different materials. The results showed that the model quality was sufficiently good only if the strong hysteresis of the water retention curves was considered during the simulation process. Different strategies were tested to modify ebb-and-flow irrigation (irrigation frequency, irrigation duration and irrigation height) in that way that the water suction in the root zone was similar to that of the peat material. Simulation results showed that significant improvements could only be reached by increasing the flooding depth in ebb-and-flow systems to ensure an optimum water supply of plants in the wood fiber based growing media.
Wood fibers can contribute to replacing peat in growing media and thus help to protect peatlands. As domestic, renewable raw materials, they represent a sustainable option for this purpose. To date, however, wood fibers are usually used as a peat substitute at a maxi-mum of 30% (v/v). A main reason for this limitation is the insufficient microbial stability of wood fibers, which favors nitrogen immobilization and can thus impair nitrogen supply of plants. To address this drawback, in this study wood fibers were subjected to different thermal or thermal-hydrolytic treatments. Seedling tests with napa cabbage were conducted to determine whether treated wood fibers were free of phytotoxic substances. Mixtures with 50% (v/v) wood fiber and white peat each were used. In addition, three wood fiber varieties were evaluated in the cultivation of petunia. Two wood fiber proportions (30 and 60% v/v) and two nitrogen fertilization rates (common and increased supply) were included in each case. In the seedling trial with napa cabbage, no phytotoxic effects were detectable in any of the wood fiber variants investigated. However, when cultivating petunias, both shoot mass growth and number of flowers decreased with increasing wood fiber content. In substrates with a wood fiber content of 60% (v/v), plant development was inhibited so severely that the petunias no longer achieved marketable quality. Increased nitrogen fertilization was able to compensate for this negative effect only in few cases. This suggests that other factors than nitrogen limited plant growth in wood fiber-rich substrates. Among others, physical proper-ties such as the lower water capacity of wood fibers may be a cause. More in-depth investigations are still required in this regard.
Enhancing the nutritional value of pears through agronomic biofortification with iodine (Abstract)
(2024)
Response of petunia to wood fibre amended peat substrate under ebb-and-flow irrigation (Abstract)
(2024)
Compliance of agricultural AI systems : app-based legal verification throughout the development
(2024)
Significant advances in artificial intelligence (AI) have been achieved; however, practical implementation in agriculture remains limited. Compliance with emerging regulations, such as the EU AI Act and GDPR, is now vital, even for non-critical AI systems. Developers need tools to assess legal compliance, which is complex, often requiring full legal advice. To address this issue, we are developing a support app that simplifies the legal aspects of AI system development, covering the entire lifecycle, from conception to distribution. The current app, which covers the key legal area of copyright and will soon include GDPR and the AI Act, aims to bridge the gap between AI research and agriculture. An evaluation of our app by experts from both the legal and the IT domains shows that the app assists the developers so that they make legally correct statements. Consequently, it promotes legal compliance and awareness among developers, contributing to the seamless integration of AI into agriculture. The need for compliant AI systems in various industries, including agriculture, will only increase as regulations evolve.
Artificial intelligence (AI) promises transformative impacts on society, industry, and agriculture, while being heavily reliant on diverse, quality data. The resource-intensive "data
problem" has initialized a shift to synthetic data. One downside of synthetic data is known as the "reality gap", a lack of realism. Hybrid data, combining synthetic and real data, addresses this. The paper examines terminological inconsistencies and proposes a unified taxonomy for real, synthetic, augmented, and hybrid data. It aims to enhance AI training datasets in smart agriculture, addressing the challenges in the agricultural data landscape. Utilizing hybrid data in AI models offers improved prediction performance and adaptability.
The objective of this article is to prepare for the initial certification according to IFS Global Markets Food V3 at the Landshuter Brauhaus AG private brewery at the Ellermühle site, which is expected in August 2025, and to create the basis for a potential follow-up certification according to IFS Food. The IFS Global Markets Food Program V3 is a standardized, voluntary and non-accredited assessment program for food companies, both for retail and manufacturer brand products (IFS 2023, p. 10 f.). It is based on the specifications of the Global Markets Program developed in 2008 (GFSI 2023a; VDOE 2020, p. 620).
The methodology of the target/actual analysis was used to work on the topic in order to be able to carry out a conformity check with regard to the requirements of IFS Global Markets Food V3 (see Appendix 3; IFS 2023). Observations, document analyses and employee surveys were carried out to obtain the most meaningful information possible. These have been recorded and evaluated within the target-performance analysis. A total of 65 deviations (equivalent to 53.7%) were identified at the basic level, and 60 deviations (equivalent to 82.2%) at the intermediate level. These were either processed as directly implemented corrective actions or formulated as recommendations for continuous improvement in the form of an action plan (see Appendix 15). The presentation of the action plan shows the deviations, the resulting measures, the associated responsibilities, the time period with the starting point and end point of the measures, and the current status. In addition a subdivision into "Basic" and "+Intermediate" was made for a better overview in the subsequent processing by the brewery.
A review as well as assessment of relevant requirements with regard to processes and significant violations after completion of the new building and commissioning at the Ellermühle site with regard to correlation with a potential "major" rating is recommended on the part of the operations manager or brewmaster (IFS 2023, p. 30).
The demands placed on companies in terms of up-to-date quality and sustainability management as well as health and safety measures are high and are becoming increasingly complex. Increased legal requirements, additional industry standards and derived customer requirements constantly present companies and value chains with new challenges. The integrated approach to the implementation of these different requirements has already taken place in companies in recent years. However, small businesses still find it difficult to face the complexity of requirements on their own without an accompanying consultation. Qualint is a support tool, which is currently available in the 3rd version. The tool supports companies in setting up and continuously developing their integrated management system with coordinated hybrid service bundles. The focus is on combining the fields of action of quality, environmental and sustainability management as well as occupational safety and health.The article illustrates how quality management can be used as a basis for building up digital and organizational structures in companies and value chains. The focus is on sustainability aspects and ethical requirements that are closely related to people, such as occupational health and safety. Compliance with human rights is required in ISO 26000 and is also part of occupational safety and health. Furthermore, compliance with human rights and corresponding working conditions is also regulated by the new Supply Chain Duty Act (LkSG). It shows how demands on companies have grown and how the consulting tool Qualint has developed accordingly.
Artificial intelligence (AI) and human-machine interaction (HMI) are two keywords that usually do not fit embedded applications. Within the steps needed before applying AI to solve a specific task, HMI is usually missing during the AI architecture design and the training of an AI model. The human-in-the-loop concept is prevalent in all other steps of developing AI, from data analysis via data selection and cleaning to performance evaluation. During AI architecture design, HMI can immediately highlight unproductive layers of the architecture so that lightweight network architecture for embedded applications can be created easily. We show that by using this HMI, users can instantly distinguish which AI architecture should be trained and evaluated first since a high accuracy on the task could be expected. This approach reduces the resources needed for AI development by avoiding training and evaluating AI architectures with unproductive layers and leads to lightweight AI architectures. These resulting lightweight AI architectures will enable HMI while running the AI on an edge device. By enabling HMI during an AI uses inference, we will introduce the AI-in-the-loop concept that combines AI's and humans' strengths. In our AI-in-the-loop approach, the AI remains the working horse and primarily solves the task. If the AI is unsure whether its inference solves the task correctly, it asks the user to use an appropriate HMI. Consequently, AI will become available in many applications soon since HMI will make AI more reliable and explainable.
Bamboo is an environmentally friendly alternative to conventional materials in mechanical engineering such as steel or aluminium. Bamboo is the fastest growing plant in the world. Instead of releasing CO2 during the manufacturing process, bamboo absorbs CO2 as it grows.
In addition to the sustainability aspect, bamboo tubes also offer excellent properties as a lightweight construction material, which have been optimised through evolution. Bamboo tubes have high strength and stiffness at low weight when used as tension-compression bars or bending beams. Bamboo has strong, high-density fibres at the boundary area, where bending stresses are greatest. Towards the inside, where the stresses are lower, the bamboo becomes porous to optimise weight. This, together with knots arranged in regular intervals, counteracts buckling.
In mobile applications such as cars and bicycles, lightweight construction is sought for energy efficiency reasons. Because of its excellent lightweight properties, the project investigated whether bamboo could be used in mobile, automotive or agricultural engineering. For example, a bamboo bicycle frame has been developed with the aim to be as light as possible. There are bamboo bicycles on the market, but they can only be made one at a time by hand. The bamboo tubes are joined together and functional elements such as the bottom bracket and headset are integrated by wrapping them in resin-impregnated natural or carbon fibres. This makes the joints very heavy. A different approach is taken here: the bamboo tubes are drilled out slightly to achieve a defined internal diameter, and then short aluminium tubes are glued into the bamboo canes from the inside. To prevent the cane from breaking in the circumferential direction, i.e. perpendicular to the fibre direction, the bamboo tubes are wrapped in a thin layer of natural or carbon fibre impregnated with synthetic resin. The aluminium tubes and functional elements are welded or soldered together beforehand.
The design of the bicycle frame, i.e. the dimensioning of the bamboo tubes and joints, was based on extensive bending and tensile tests to determine the strength properties of the natural material bamboo. The bonding between the bamboo cane and the aluminium tube was also investigated experimentally. Finally, several prototype bicycle frames were made and tested for durability according to DIN-EN-14764. The frames passed the tests.
The result is a bamboo bicycle that is manufactured with standardised connectors and joints. The assembly concept developed allows both fully automated and semi-automated series production of bamboo bicycles.
Biomechanical analyses are capable of capturing and evaluating human motions. In addition to the major biomechanical fields of kinetics and kinematics, electromyography (EMG) provides a reliable way to analyse neuromuscular activities, e.g. inter- and intramuscular coordination or fatigue behavior. Based on these parameters it is possible to conclude to clinically relevant parameters such as motor control, muscular coordination or compensation strategies with different loads. In addition to this, EMG can be used in treatment itself, e.g. biofeedback-training with an EMG is an effective and evidenced based tool to improve neuromuscular control. The purpose of this workshop is to show the advantages of implementing EMG in performing artists´ health and to demonstrate additional therapy and diagnostic options.
This workshop briefly introduces the theoretical principles of EMG and the clinical applications in the context of performing artists´ health. It explains why EMG provides an additional value in the clinical reasoning process and supports the therapist, but decision making in the clinical reasoning process should never be based on EMG solely.
In the further course of the workshop the use of EMG in diagnostics and therapy (biofeedback) with performing artists is practically demonstrated and discussed with the participants.
Approach of Presentation:
1. Short presentation: introduction and understanding of EMG (educational objective 1)
2. Short case presentation of a performing artist to introduce EMG in the field of performing artists´ health and clinical reasoning (educational objective 2)
3. Interactive practical demonstration (diagnosis and biofeedback-training) as the central part of the workshop. Questions and comments will be discussed directly throughout the group (educational objective 3)
Clinical Significance:
EMG based functional neuromuscular diagnostics and biofeedback-training provides both the therapist as well as the performing artist with additional value in their clinical work.
Educational Objectives:
At the end of the workshop, the participants will be able to…
1. understand and describe the basic principles of EMG
2. understand and describe the importance of EMG in the context of performing artists´ health, physical therapy and clinical reasoning
3. use EMG on performing artists in the performance process
Nostalgia is a construct that, even when rooted in lived experiences, serves the ultimate purpose of creating a desired sense of world. Fundamental cognitive competencies, including memory and imagination, are utilized by the nostalgic subject to fulfill a need for narrative coherence. A temporal or spatial distance is necessary for the occurrence of a nostalgic episode, which can be conceptualized as a “had been” state of being, as direct access to the experience is often impossible. Nostalgia may thus be viewed as a tool for sense-making rather than solely as a yearning for the past. The nostalgic narrative form is a construct that permits human subjects to comprehend their existence in the world while drawing upon their roots. These tools for sense-making serve as bridges between past experiences and current conditions. Ultimately, nostalgic identity is not just about longing for the past but also about utilizing the past as a resource for navigating the labyrinths of the present. Analyses are conducted to examine the medium of music video at three levels - auditory, visual, and linguistic - in order to investigate the strategies and techniques employed by the Iranian diaspora to create nostalgic narratives. Samples of original pieces and renditions are contrasted in order to identify elements of nostalgic narrativity. Drawing on empirical research, it is argued that the unity of a music video arises from the integration of separate layers of sensory and conceptual inputs that have been composed towards an affective resonance and narrative coherence.
Background: Multilingual children with suspected SLCN are often overlooked or their needs not accurately differentiated regarding the necessity of language support or therapy. The purpose of the study was to conceptualize, carry out and evaluate a local language support (LS) project within linguistically and culturally diverse (LCD) families and its effects on all collaborating participants.
Methods: Eight SLT students and one lecturer took part in the LS-project, alongside equivalent numbers of family liaison personnel. Students visited more than 10 young children aged between 2-6 years, and for each child 10 weekly home visits were carried out. Language enhancement was documented, several case studies with children and interviews with five liaison personnel conducted.
Results: All SLT students perceived changes in the behaviour and communication of participating children. Children in the case studies developed from pre-verbal to verbal means of communication and family liaison personnel reported positive changes alongside parental wishes to continue the support.
Conclusion: Local language support projects with LCD families can lead to positive differences regarding their children's communication development and better inclusion in mainstream society. SLT students benefit from working with LCD families and their collaborative support together with family liaison personnel, and vice versa.
Learning Outcomes: To differentiate the influence of language enhancement vs. formalized SLT therapy. To enhance the relationship with LCD clientele and collaboration with liaison personnel in SLCN settings. To incorporate life-long learning and intercultural sensitization.
Purpose
Sedentary behaviour (SED) and low level of physical activity (PA) might be associated with the development or worsening of pain. Still, studies assessing physical behaviours by accelerometry in individuals with orofacial pain are limited. This study aims to assess whether women with temporomandibular disorders (TMD) present different patterns of physical behaviours in days with (DWP) or without pain (DWoP).
Methods
Twenty-nine out of forty-four women (mean age 29.21 sd 7.96) were diagnosed with TMD and monitored over seven days using a thigh-worn accelerometer. DWP was determined when subjects presented pain in one of the craniocervical regions (head, jaw and neck) with intensity of at least 3 in the numerical rating scale. To be considered a DWoP, the individual presented less than 3 points in the three regions. Daily time-use compositions were described in terms of SED in short (<30 min) and long (≥30 min) bouts, light PA (LPA), moderate-to-vigorous PA (MVPA), and time-in-bed. Isometric log-ratios (ilr) were calculated to express the ratio of time-in-bed to time spent awake, SED relative to LPA and MVPA, SED in short relative to long bouts, and LPA relative to MVPA. Differences between DWP and DWoP were examined using MANOVA, followed by univariate post-hoc tests of pairwise differences.
Results
During DWP, women with TMD spent more time in SED in short (239 min) and long bouts (419 min), less time in LPA (245 min), MVPA (68 min), and in bed (468 min) compared with DWoP (235, 378, 263, 70 and 493 min, respectively). The MANOVA showed that all sets of ilrs did not differ statistically (ηp2 = 0.19, p = 0.25). Still, the post-hoc tests showed a trend that time spent SED relative to LPA and MVPA was larger in DWP than in DWoP (Cohen’s d = 0.36, p = 0.05).
Conclusions
Women with TMD did not show different patterns of physical behaviours in DWP or DWoP. However, there is a trend of more sedentary behaviour and less physical activity in DWP compared to DWoP. Future studies should consider other pain intensity cut-offs, isolated pain locations, and larger sample sizes to confirm these results.
The aim of this European interprofessional Health Informatics (HI) Summer School was (i) to make advanced healthcare students familiar with what HI can offer in terms of knowledge development for patient care and (ii) to give them an idea about the underlying technical and legal mechanisms. According to the students’ evaluation, interprofessional education was very well received, problem-based learning focussing on cases was rated positively and the learning goals were met. However, it was criticised that the online material provided was rather detailed and comprehensive and could have been a bit overcharging for beginners. These drawbacks were obviously compensated by the positive experience of working in international and interprofessional groups and a generally welcoming environment.
Background and Aims
Early identification of nerve lesions and associated neuropathic pain in spine-related pain disorders is important for tailored treatment. Management may consist of surgical intervention for compressive neural lesions.
With a growing waitlist for public surgical outpatient clinics in Western Australia and wait times exceeding the recommended wait time for initial assessment (Category 1 – assessment within 1 months, Category 2 within 3 months, category 3 within 12 months), a call to support new models of care has been made1, including the evaluation and expansion of workforce models supporting advanced skills in allied health.1
An Advanced Scope Physiotherapy (ASP) led Neurosurgery Spinal Clinic operates at Sir Charles Gairdner Hospital in Western Australia. The ASPs (2FTE) examine patients from the neurosurgery waitlist for their suitability for spinal surgery. Recommendation of either further investigation and possible assessment by a neurosurgeon or appropriate non-surgical management of the patients’ pain condition is suggested. Patient assessment is conducted either ‘in person’ at the hospital or via telehealth due to the remoteness of some rural patients. Patient cases are discussed with a neurosurgery consultant on a weekly basis. The aim of this project is to evaluate the ASP service in the year 2022.
Method
A retrospective descriptive analysis of patient data captured in 2022 was performed.
Results
In 2022, 1337 new patient referrals were managed plus 267 follow-ups from the previous year. Category 1 patients (n=81) waited on average 31 days for their first appointment, Category 2 patients (n=394) waited 76 days and Category 3 patients (n=854) waited 376 days.
287 (18%) referrals were discharged without physical assessment of the patient (DNA, cancellations, declined). Of the 1317 patients physically assessed by the ASPs (57%) were discharged directly after assessment, for 290 patients (22%) their outcome was still pending at time of analysis (March 2023) and 281 (22%) patients were referred for review with a neurosurgeon. Of the 229 patients assessed by a neurosurgeon (including patients from 2022), 103 patients (45%) were offered surgery, 52 (23%) were not offered surgery, 46 ( 20%) patients had to be reviewed, and for the remaining (n=18) their outcome was unknown.
Conclusion
Of the 1604 patients managed in the Neurosurgery Spinal Clinic, only 17% needed to see a neurosurgeon. The conversion rate to surgery of 45% is higher compared to an estimated 5%-10% in a non-triaged clinic.
The ASP model of care has proved invaluable to (i) provide access of patient care within the recommended wait times (ii) optimize neurosurgeons’ time, (iii) educate patients and, in case of non-suitability for surgery, advise and refer them for alternative appropriate management.
Relevance for Patient Care
The Advanced Scope Physiotherapy model of care at the Neurosurgery Spinal Clinic allows timely assessment of patients with spine-related disorders and supports targeted management of their condition.
Ethical Permissions
This project is registered as a Quality Improvement Project at Sir Charles Gairdner Hospital (QI35728) and as per the National Statement on Ethical Conduct in Human Research was exempt from review by the Sir Charles Gairdner Hospital Human Research and Ethics Committee
References
1Sustainable Health Review (2019). Sustainable Health Review: Final report to the Western Australian Government of Health, Western Australia
Workshop: “‘Sciatica’: neuropathic or not and does it matter? Outcomes from a NeuPSIG working group”
(2023)
The identification of neuropathic pain in persons with spine-related leg pain is important as this information guides treatment and management, including self-management. The NeuPSIG neuropathic pain grading system was developed to assist clinicians and researchers in determining whether patients have neuropathic pain and the level of confidence associated with that decision. Based on clinical and laboratory examination findings, patients are classified as having no neuropathic pain, possible, probable or definite neuropathic pain. Whereas this grading system works nicely in people with systemic neuropathies where sensory findings and diagnostic tests are mostly present, its application in patients with spine-related leg pain, particular in radicular pain, can be challenging. For example, in the absence of sensory changes and MRI findings, patients with radicular pain would at best reach a classification of possible neuropathic pain according to the current neuropathic pain grading system.
In this presentation I will explain the adaptations to the neuropathic pain grading system for spine-related leg pain recommended by the NeuPSIG working group. I will demonstrate its application in clinical practice using case studies and provide clarity for how the system can be incorporated in clinical trials. This will be an interactive session with audience participation.
Methods: Systematic review of randomized controlled trials (RCT). Searches were conducted in five electronic databases. Studies were selected if they included patients with NP over 18 years old treated with aerobic exercise (AE) (e.g., cycling, running, hiking, and walking). The main outcome of interest was pain intensity. Qualitative and quantitative data were extracted. The risk of bias (RoB) was determined using the Cochrane RoB Tool-2 and the overall certainty of the evidence with the GRADE recommendations.
Results: Out of 21,585 initial records screened, a total of six individual studies published in ten manuscripts were included. There was a great heterogeneity between protocols, comparisons, and studies’ results (different magnitudes and directions). When looking at the effect of aerobic exercise versus control groups or other interventions on pain intensity measured with the VAS, not statistically (nor clinical) significant differences between aerobic exercise and control groups (MD [95%CI] 5.16 mm [-6.38, 16.70]) were identified. The combined effect of AE plus other interventions seems to be effective. Strength exercise obtained better effects than aerobic exercises (MD [95%CI]: -11.34 mm [-21.6, -1.09]).
Conclusions: Aerobic exercise presented positive results to reduce pain intensity, and improving disability, and physical and emotional functioning. However, the evidence is restricted, low quality, and heterogeneous.
Methods: The searches were conducted on five electronic databases. RCTs or CTs with patients over 18 years old of both sexes with OFP diagnoses were targeted. The intervention of interest was AE (i.e., walking, cycling, and running), compared to any other conservative and non-conservative therapy. The primary outcome was pain intensity. Risk of bias (RoB) was done with the Cochrane RoB tool (RoB 2). The overall certainty of the evidence was evaluated with GRADE.
Results: Out of 21,585 initial records found in the initial database search, only one study (reported on three manuscripts) was included. The diagnosis of interest was headache plus temporomandibular disorders (TMD). Three treatment groups (strengthening (Str) exercise + manual therapy (MT) (G1); AE + MT + Str exercises (G2); AE (G3)) were compared. The main outcome was pain; the secondary outcomes included disability, strength, anxiety, and quality of life. The combined treatment (AE+MT+Str exercises) had the strongest effect to decrease pain and headache intensity in patients with OFP (SMD: 9.99 [95%CI: 7.19, 12.80].
Conclusions: a multimodal treatment strategy achieved the greatest positive effects on pain and other outcomes in the short/medium term. AE seems to be an important component of this strategy. However, the scientific evidence supporting AE’s isolated effect is limited, indicating a research gap in this scientific field.
The excitement sparked by the emergence of AI open platforms has encountered significant scrutiny from educators and educational planners, who have raised valid concerns about issues such as plagiarism, testing protocols, and the authenticity of content submitted by students. While these concerns are timely and crucial, it's essential not to overlook other pressing issues that often go unnoticed in the lived educational experience of learners, particularly within the field of social sciences. This paper aims to advocate for a humanistic approach with a focus on education in the generative AI Era.
Iron deficiency is a global issue and can lead to a variety of clinical pictures. The biofor-tification of vegetables with iron could complement the existing portfolio of iron-rich products, thus improving iron supply in the long term. In order to determine whether the iron-biofortified vegetables could meet this demand and would address appropriate target groups, a quantitative online survey was conducted in Germany. Based on 1000 consumer responses, a cluster analysis was performed. The results showed a four-cluster solution. The first cluster was holistically engaged, the second was fitness-affine but health unconcerned, the third cluster consists frugal eaters with a focus on medical prevention, and the fourth cluster are hedonists. No cluster focused its consumption on iron-enriched products, but instead all developed an individual mix of the three product groups.
The energy transition involves various challenges. One key aspect is the decentralization of power generation, which requires new actors. In order to integrate these into the system in the best possible way, there are various approaches e.g. in cooperation in citizens' initiatives or cooperatives (Dorniok, 2016).
Cooperation in general can enable the implementation of certain business models or can increase profitability by the exploitation of economies of scale (Skovsgaard & Jacobsen, 2017; Theurl, 2010). Synergy effects result from the utilization of know-how, different technologies or resources of the partners involved to complement the own competencies and services (Eggers & Engelbrecht, 2005; Sander, 2009). Cooperation exists in various industries and enable the participating companies to compensate their size-related resource deficits (Glaister & Buckley, 1996; Todeva & Knoke, 2005). This creates the opportunity to develop innovations, open up new markets, exploit newly created economies of scale and share costs and risks (Franco & Haase, 2015). In agriculture, cooperation in the form of cooperatives have been of essential importance for a long time, especially with the aim of exploiting synergy effects (Bareille et al., 2017). In the field of renewable energy development, cooperation in form of citizen cooperatives make a significant contribution to the participation of citizens in political, social and financial aspects of the energy transition (Huybrechts & Mertens, 2014). Energy cooperatives are frequently discussed as a potential actor in the energy transition and are increasingly being established to advance the common interests of stakeholders. For example, the joint operation of decentralized power generation plants can involve new actors in the energy transition through regional cooperation (Walk, 2014).
Existing biogas plants in Germany need new business models after the 20-year Renewable Energy Sources Act feed-in tariff expires. For continued operation, a business model innovation is needed, which can be realized based on the different technical utilization pathways. Cooperation can have a significant impact on the profitability of the different business models, especially by exploiting synergy effects (Karlsson et al., 2019). In addition, cooperation can help to ensure that existing plants continue to operate at all.
Currently, the most widespread use of biogas in Germany is in the coupled generation of electricity and heat. Additionally, there is the possibility of upgrading biogas to biomethane or biogenic hydrogen path (Mertins & Wawer, 2022).
Different options for cooperative business models that exist in the biogas utilization pathways are presented. The focus is on explaining the advantages of a joint approach compared to single-farm business models and identifying the relevant actors. Subsequently, drivers and barriers for the different cooperative business models are identified and classified based on 20 semi-structured interviews with plant operators in the administrative district of Osnabrück. The aim is to identify drivers and barriers for cooperative post-EEG operation. As a result, political instruments are to be found that make it possible to involve relevant actors and thus stimulate the best possible continued operation from the point of view of the energy system. The results are structured according to the PESTEL analysis. This assigns drivers and barriers to the categories political, economic, sociocultural, technological, ecological and legal (Kaufmann, 2021). The analysis of the interviews is supplemented and validated by a literature review.
Drivers and barriers for cooperative business models are manifold and can vary mainly depending on the plant and the operator.
Drivers
• Political
o Promotion of renewable energies: reduce dependence on fossil (Russian) fuels
• Economic
o Expectation of synergies (information sharing, shared risk, economies of scale)
o Planning security (fixed supply or purchase contracts)
o Access to new markets (not accessible by single-farm business models)
o Cost savings by sharing infrastructure, technology
o Positive return expectation
• Sociocultural
o Motivating, innovative environment
o Lowers barriers to participation in new markets
o Target-oriented partnerships
o Better use of capacities and strengths
o Strengthening regional value creation
• Technological
o Economies of scale (efficiency)
o Available, mature technology
o Storable, transportable gas
o Well-developed infrastructure
• Ecological
o Increase in plant efficiency
o Reduction of greenhouse gas emissions
o Promotion of the circular economy by utilization of organic waste and agricultural residues
o Improving soil quality (fermentation residues as fertilizer)
Barriers
• Political
o Competition to other renewable energies
• Economic
o Uncertainty about future development of energy markets
o Disagreements between the cooperation partners
o Lack of flexibility due to longer-term contractual obligations
o Allocation of profits
• Sociocultural
o Cooperation with current competitor
o Cultural differences and lack of trust
o Acceptance by the general public (e.g. overproduction of maize)
• Technological
o Different technology that is difficult to combine
o Data protection
• Ecological
o Competition for agricultural land
o Use of monocultures
o Emissions from plant
o Pollution from transport
• Legal
o Legal requirements and regulations
o Unfavorable regulatory environment, e.g. long permitting process
One finding is that uncertainty is a major barrier for plant operators. This includes uncertainty about regulatory frameworks and political requirements, as well as about the general development of the energy markets. In addition, social factors such as lack of reliability and disagreement about revenue sharing are a potential barrier. A key driver for the implementation of cooperative business models is the expectation of synergy effects. In addition, operators are driven by a positive expectation of returns and the responsibility for securing the energy supply in times of crisis.
The drivers identified can now be used to develop strategies to advance cooperative business models. In particular, synergy effects should be exploited so that operators can benefit from cooperation. The advantages can also be highlighted and communicated to increase acceptance among the general public. Another important step is to reduce the barriers discussed above. In order to reduce social barriers in particular, it may be advisable to include an external partner in the cooperation, such as a municipal utility that operates an upgrading plant and concludes purchase agreements with the individual partners. In addition, it would be politically expedient to provide the operators with a clear framework for the future in order to reduce uncertainties. As a further aspect, knowledge transfer on new technologies and markets should take place.
SimBO is a flexible framework for optimizing discrete event-driven simulations (DES) using sequential optimization algorithms. While specifically designed for Bayesian Optimization (BO) in the context of DES, SimBO can be applied to any black-box problem with other optimization algorithms. The framework consists of four encapsulated components - the black-box problem, the sequential optimization algorithm, a database for experiment configuration and results, and a web-based graphical user interface - that communicate via well-defined interfaces. Each component can be run in different environments, allowing for cooperation between different hardware- and software configurations. In our research context, SimBO’s architecture enabled BO algorithms to be run on a high-performance cluster with GPU support, while the simulation is executed on a local Windows machine using the Simio simulation software. The framework’s flexibility also makes it suitable for evolving from a research-focused tool to a production-ready, cloud-based optimization tool for modern algorithms.
Diet can influence healthy aging through anti- or proinflammatory effects, partly by modulating the gut microbiome composition. This study investigated the relationships between the Dietary Inflammatory Index (DII), the gut microbiome, and nutritional status in elderly individuals. Methods: This cross-sectional analysis included 114 home-dwelling individuals aged over 70 years. The Energy-adjusted DII (E-DII) was calculated from 3-day food diaries, and blood samples were taken to measure micronutrient status, glucose, and lipid metabolism. Body composition was assessed using bioimpedance, and fecal gut microbiome composition was analyzed through 16S rRNA gene sequencing. The participants were categorized into maintaining an anti-inflammatory diet (AD) and a pro-inflammatory diet (PD) based on the median E-DII score. The associations of E-DII groups with blood markers and microbial diversity and composition were examined using the analysis of covariance, permutational analysis of variance, and multivariate linear models. Results: The AD (n = 57, 76 ± 3.83 years) and PD (n = 57, 75 ± 5.21 years) groups were similar in age but differed in sex distribution, with a higher proportion of females in the AD group (p = 0.02). When compared to the PD group and adjusted for sex, the AD group had a lower body mass index, fat mass, fasting insulin level, HOMA-IR (Homeostasis Model Assessment of Insulin Resistance), fasting triglycerides, and serum uric acid concentration (all p < 0.05), with higher concentrations of high-density lipoprotein, red-blood-cell folate (RBC), and Omega-3 index (all p < 0.05). While the microbial diversity and composition did not differ between the DII groups, folate concentrations were negatively associated with Agathobacter and positively associated with Bacteroides abundance (both q = 0.23). Lower uric acid concentrations were associated with a higher abundance of Bifidobacterium (q = 0.09) and lower abundance of Phocaeicola (q = 0.11). Discussion: The study suggests that following an anti-inflammatory diet is associated with improved nutritional status in the elderly. Dietary blood markers, rather than E-DII, were found to be associated with the gut microbiome, suggesting a potential link between the microbiome and changes in nutritional markers independent of diet. Further studies are needed to explore the causal relationship between dietary inflammatory potential, gut microbiome, and healthy aging.
Knowledge of the maximum friction coefficient µmax between tire and road is necessary for implementing autonomous driving. As this coefficient cannot be measured via existing serial vehicle sensors, µmax estimation is a challenging field in modern automotive research. In particular, model-based approaches are applied, which are limited in the estimation accuracy by the physical vehicle model. Therefore, this paper presents a data-based µmax estimation using serial vehicle sensors. For this purpose, recurrent artificial neural networks are trained, validated, and tested based on driving maneuvers carried out with a test vehicle showing improved results compared to the model-based algorithm from previous works.
Within the consortium “Experimentation Field Agro-Nordwest”, a practical concept for knowledge and technology transfer of digital competence in agriculture was created. For this purpose, the web-based e-learning system “SensX” was set up, consisting of videos, presentations and instructions. In addition, the classical e-learning concept was extended by data sets, student experiments and sensor data of plants acquired by a remote phenotyping robot. This resulted in a massive open online course (MOOC), which was tested with agricultural and biotechnology students in higher education at the University of Applied Sciences Osnabrück over two years. The evaluation process of “SensX” included an empirical survey, qualitative interviews of the participating students by an external institution and an evaluation of the concept by the lecturers.
Computer-image processing becomes more and more important in the analysis of data in biological and agricultural research and practice. However, robust image processing is highly de pendent on the histogram analysis algorithms used and the quality of the data being processed. The algorithm presented here aims to improve the accuracy of the classification of image data generated under complex boundary situations and inconsistent lighting conditions. Using the example of the determination of nitrogen content of tomato leaves and the qualitative determination of starch con tent of apples on the basis of color image processing, we showed that the developed algorithm is able to perform a robust classification and represents an improvement to simple histogram analysis.
The Internet of Things (IoT) is the enabler for new innovations in several domains. It allows the connection of digital services with physical entities in the real world. These entities are devices of different categories and sizes range from large machinery to tiny sensors. In the latter case, devices are typically characterized by limited resources in terms of computational power, available memory and sometimes limited power supply. As a consequence, the use of security algorithms requires of them to work within the limited resources. This means to find a suitable implementation and configuration for a security algorithm, that performs properly on the device, which may become a challenging task. On the other side, there is the desire to protect valuable assets as strong as possible. Usually, security goals are recorded in security policies, but they do not consider resource availability on the involved device and its power consumption while executing security algorithms. This paper presents an IoT security configuration tool that helps the designer of an IoT environment to experiment with the trade-off between maximizing security and extending the lifetime of a resource constrained IoT device. The tool is controlled with high-level description of security goals in the form of policies. It allows the designer to validate various (security) configurations for a single IoT device up to a large sensor network.
In recent years, ISO, IFS, BRC and FSSC 22000 standards in the areas of quality, environment and occupational health and safety have been increas-ingly implemented in companies in various industries. The main focus of these developed standards are the processes. But the past shows that the factor human is another very important factor, which should be much more in the middle in organization. The new developed guideline has the human factor in the foreground. In particular, the attitude and awareness of occupational safe-ty and health protection in the behaviour of employees at all levels of the or-ganisation are at the centre of consideration.
Inspired by this approach, a group of experts from the fields of quality scienc-es, standardisation and certification as well as consulting for system-relevant companies in the agricultural and food industry came together to form a committee during the Corona crisis in spring 2020. The common goal is to develop a new standard. The first step is to establish criteria for a guideline.
and establish an evaluation system for several pillars of a House of Total Safety Culture (HSC) tailored to the entire value chains of the agri-food sec-tor. In addition, the essential building blocks of the guideline must be defined. The attitude of managers and employees, their behaviour and their compe-tence form the roof of the standard. The integrated management system with a continuous improvement process forms the foundation of the House of To-tal Safety Culture across the company in value chains. Qualification and communication are the main pillars and thus further elements of the HSC. Particular attention is paid to the fields of action of occupational safety and health protection, food safety, animal and environmental protection as well as sustainability and digitisation. They form the four inner pillars of the House of Total Safety Culture. The design of the respective certification levels is con-sidered as a “construction phase”. As part of the standardisation process, the coordination of the respective requirements for safety culture has not yet been completed. This article first provides an overview of the state of knowledge in relation to the established standards and norms of the agri-food industry with special consideration of the Safety Culture Ladder model. The procedure for developing and establishing the new guideline is then ex-plained. For this purpose, the composition of the expert forum is presented before the concrete steps to establish the guideline are presented. The model of the House of Total Culture is presented below. Building on this, the proce-dure for assessing the degree of maturity and possible concepts of continuing training are explained before the conclusion of this article.
Diabetic foot ulcer (DFU) is a chronic wound and a common diabetic complication as 2% – 6% of diabetic patients witness the onset thereof. The DFU can lead to severe health threats such as infection and lower leg amputations, Coordination of interdisciplinary wound care requires well-written but time-consuming wound documentation. Artificial intelligence (AI) systems lend themselves to be tested to extract information from wound images, e.g. maceration, to fill the wound documentation. A convolutional neural network was therefore trained on 326 augmented DFU images to distinguish macerated from unmacerated wounds. The system was validated on 108 unaugmented images. The classification system achieved a recall of 0.69 and a precision of 0.67. The overall accuracy was 0.69. The results show that AI systems can classify DFU images for macerations and that those systems could support clinicians with data entry. However, the validation statistics should be further improved for use in real clinical settings. In summary, this paper can contribute to the development of methods to automatic wound documentation.
Rationale:
Biomechanical analyses are capable of capturing and evaluating human motions. In addition to the major biomechanical fields of kinetics and kinematics, electromyography (EMG) provides a reliable way to analyse neuromuscular activities, e.g. inter- and intramuscular coordination or fatigue behavior. Based on these parameters it is possible to conclude to clinically relevant parameters such as motor control, muscular coordination or compensation strategies with different loads. In addition to this, EMG can be used in treatment itself, e.g. biofeedback-training with an EMG is an effective and evidenced based tool to improve neuromuscular control.
Purpose:
To show the advantages of implementing EMG in performing artists´ health and to demonstrate additional therapy and diagnostic options.
Educational Objectives:
At the end of the workshop, the participants will be able to…
1.understand and describe the basic principles of EMG
2.understand and describe the importance of EMG in the context of performing artists´ health, physical therapy and clinical reasoning
3.use EMG on performing artists in the performance process
Content of Presentation:
This workshop briefly introduces the theoretical principles of EMG and the clinical applications in the context of performing artists´ health. It explains why EMG provides an additional value in the clinical reasoning process and supports the therapist, but decision making in the clinical reasoning process should never be based on EMG solely.
In the further course of the workshop the use of EMG in diagnostics and therapy (biofeedback) with performing artists is practically demonstrated and discussed with the participants.
Approach of Presentation:
1.Short presentation: introduction and understanding of EMG (educational objective 1)
2.Short case presentation of a performing artist to introduce EMG in the field of performing artists´ health and clinical reasoning (educational objective 2)
3.Interactive practical demonstration (diagnosis and biofeedback-training) as the central part of the workshop. Questions and comments will be discussed directly throughout the group (educational objective 3)
Clinical Significance:
EMG based functional neuromuscular diagnostics and biofeedback-training provides both the therapist as well as the performing artist with additional value in their clinical work.
Introduction: Hamstring injuries are among the most common injuries in soccer players. Especially the danger of hamstring injuries increases in the final third of each half, with the biceps femoris muscle being highly susceptible, but currently there is no supporting evidence in soccer players. It is important to investigate to provide a basis for further clinical investigations in order to reduce the risk of hamstring injuries.
Objective: To investigate a soccer-specific muscle fatigue protocol has an effect on the activation patterns of the biceps and semitendinosus muscles and correlates with the subjectively perceived exertion of the soccer players.
Methods: 19 healthy soccer players aged 19 - 35 years were included and underwent a standardized procedure that included: (1) performance of the nordic hamstring curls (NHC) and a 10m sprint (pre-test), (2) a soccer-specific muscle fatigue loading protocol for 30 minutes with subsequent rating of perceived exertion (RPE), (3) re-assessed like pre-assessment (post- test). Electromyography (EMG) data were recorded the biceps and
semitendinosus muscles of both legs. Two parameters were analyzed: the peak amplitude during the NHC and the mean amplitude during the 10m sprint.
Results: The RPE score (9.5, p<0.001) and 10m sprint shows significant differences between pre- and post- test for the biceps (standing leg: -82.45, kicking leg: -81.77; p<0.01) and semitendinosus muscle (standing leg: -60.08, p=0.001); kicking leg: -65.30, p=0.03). Significant correlation exists between RPE score and biceps muscles at posttest (standing leg: r=-0.54, kicking leg: r=-0.51; p<0.05).
Conclusion: Muscle fatigue leads to significant changes in the activation behavior of the hamstring muscles. In particular, the biceps muscle shows a correlation with perceived exertion, the higher the exertion, the lower the muscle activity. This may help explain the higher prevalence of the biceps muscle in hamstring injuries and offers a basis for further clinical investigations
Today's development of client-side web applications is based on one of the JavaScript-frameworks, such as Angular or React. The excessive dependencies that arise in the ecosystem from the Node-Package-Manager increase the security risk and the dependency of your own web application on third-party packages. Moreover, the frameworkless approach proposes a renaissance of classic web development, because it strives to avoid external dependencies as far as possible and to fall back on the standards. Whether the implementation achieves maintainability and security of frameworks is questionable. Therefore, it makes sense to research which core concepts of the frameworks meet the requirements for maintainability and security and how these are implemented. The novelty is that the concepts to be explored are moved to a standard in order to ensure the developer efficiency, security, performance and maintainability in the long term. This allows existing approaches to focus on other essential features.
Apps have been attested to empower patients regarding disease self-management through numerous studies. However, it is still unclear what factors determine the perception of patients whether an app is a useful tool for this purpose. A multiple regression model that was informed by the Technology Acceptance Model (TAM 2) was tested based on the answers of 235 app users with Diabetes type 1 or 2. The model accounted for 59.2% of the variance of the perceived degree of self-management. Factors belonging to the relevance-usefulness-quality complex as well as factors reflecting the patient’s self-control were found to be significant in the model. Patient demographics, i.e. age, gender, app experience and type of Diabetes did not play any significant role. In conclusion, this study raises the question whether apps should be designed to strengthen self-management in the sense of self-control (e.g. own measurements, diary) as opposed to guiding and advice giving.
With the start of the 21st century, patient safety as a topic of special interest has attracted increasing attention in both academia and clinical practice. As technology has continued to develop since then, questions and focal points surrounding the topic have also shifted. In particular, questions regarding the impact of digitalization on patient safety and its measurement are now of high interest. This work aims to develop a maturity assessment instrument in the form of a criteria set for measuring structural requirements for digital patient safety in hospitals. Based on the results of a literature review and a derivation of maturity objects (MO) from known maturity models, 64 criteria across 11 categories were developed. Written comments of two digital patient safety experts as well as subsequent interviews were used to evaluate and refine the criteria catalog. The resulting catalog offers hospitals guidance for detecting possible areas of structural improvements in their information systems with regard to patient safety and represents a unique instrument for assessing digital maturity in this particular area.
Venous leg ulcers and diabetic foot ulcers are the most common chronic wounds. Their prevalence has been increasing significantly over the last years, consuming scarce care resources. This study aimed to explore the performance of detection and classification algorithms for these types of wounds in images. To this end, algorithms of the YoloV5 family of pre-trained models were applied to 885 images containing at least one of the two wound types. The YoloV5m6 model provided the highest precision (0.942) and a high recall value (0.837). Its mAP_0.5:0.95 was 0.642. While the latter value is comparable to the ones reported in the literature, precision and recall were considerably higher. In conclusion, our results on good wound detection and classification may reveal a path towards (semi-) automated entry of wound information in patient records. To strengthen the trust of clinicians, we are currently incorporating a dashboard where clinicians can check the validity of the predictions against their expertise.
Rationale:
Neck pain is a large health problem worldwide and often seen in musicians [1, 2]. Neck pain can radiate into the arm due to various underlying pain types and pain mechanisms making it heterogeneous in clinical signs and symptoms [3-5]. On the one hand, patients may present with dominant nociceptive neck-arm pain caused by activation of the nociceptors in muscles, joints, ligaments, fascia, tendons and the connective tissues of a nerve [6, 7]. Activation of nociceptors in nerve connective tissues may cause clinical signs of heightened nerve mechanosensitivity what is per definition categorized as nociceptive pain [6, 8, 9]. On the other hand, patients may present with dominant neuropathic pain, defined as pain as a direct consequence of a lesion or disease affecting the somatosensory system [10, 11]. The clinical profile of these different pain types is sometimes difficult to disentangle based on the localization and pain character [12]. Moreover, non-specific neck-arm pain patients shown a neuropathic pain component based on somatosensory changes detected via Quantitative Sensory Testing (QST) [3, 13]. Classifications with a defined physical examination pathway can be helpful to define subgroups to guide the clinical decision making [14]. This workshop updates the background about the pathophysiology of neck-arm pain and mediates an evidence-based examination to classify patients.
Purpose:
The aim of this workshop is to give a current insight into the background and evidence of neck-arm pain and to plan and practice a physical examination.
Content of Presentation:
This workshop will summarize evidence of neck-arm pain. Thereupon, current evidencebased diagnostic options will be presented and practiced together. Finally, a short insight in the management of neck-arm pain will be given.
Approach of Presentation:
QST testing and current cost-effective evidence-based methods will be presented to identify neuropathic components in neck-arm pain. Selected methods will be performed practically together, e.g. bedside sensory testing and neurodynamic tests.
Clinical Significance:
After the workshop, participants will have improved skills to diagnose in the spectrum of neck-arm pain for musicians with neck-arm pain.
At the end of the presentation, the participants will be able to:
- understand the heterogeneity of neck-arm pain,
- plan an appropriate diagnostic physical examination,
- have an insight in possible management strategies.
The expiry of national subsidies for biogas in Germany means that new business models are needed. Furthermore, hydrogen is expected to make a significant contribution to the energy transition in the future. Therefore, potentials for the production of hydrogen from biogas are identified in this study. A joint upgrading infrastructure is developed that models the collaborative upgrading of biogas to hydrogen for existing biogas plants with subsequent gas grid injection. Furthermore, regions are identified that are particularly suitable as pioneer regions in Germany due to a high potential for green hydrogen production and comparatively low costs for hydrogen production. The modeling shows that collaborative upgrading achieves significant cost savings compared to single-farm upgrading. Furthermore, the potential for hydrogen production from biogas and the costs of upgrading differ significantly within the administrative districts in Germany.
Rationale:
Instrumentalists often suffer from playing-related (neuro-)musculoskeletal disorders (PRMDs). Most common PRMDs in string players are related to upper-body regions. Motion analysis has proven to be helpful in the evaluation of functional disorders. It was already shown that it is a valid and clinically feasible tool for accurate, repeatable, and objective assessments of functional movement in string players. Thus, it may guide clinicians to improvements in injury prevention, diagnosis, and treatment. Nevertheless, its application in clinical consultation is still very uncommon. For this reason, there is a lack of well-established motion analysis protocols for the examination of PRMDs in string players using advanced biomechanical instruments in clinical settings.
Purpose:
To demonstrate the development and application of a motion analysis protocol for the evaluation of functional upper-body movements in violinists, violists, and cellists in a clinical setting for the investigation of PRMDs.
Approach:
The protocol was to be integrated into a clinical reasoning process for testing clinical hypotheses and evaluating treatment outcomes in physiotherapy. As a starting point, a primary clinical question was defined, and then, specific upper-body symptom regions as well as measurement parameters (relative rotation angles and muscle activities over time) were identified. Subsequently, involved segments, joints, and muscles were assorted. For quantification of upper-body kinematics a novel, marker-based method was used which provides multi-segmented shoulder and spine models while providing simple application. Based on that, a comprehensive mechanical model of the upper body as well as the associated coordinate systems and rotation sequences were specified. This further guided both, the definition of a custom-made marker set as well as the selection and placement of surface electrodes. Furthermore, required static and functional calibration trials as well as movement tasks for functional assessment were specified. Finally, advanced approaches, such as a comprehensive kinematic model and functional determination of joint centers and axes were established for extraction. Then, outcome parameters and their form of representation were determined for further analysis and interpretation.
The application of the method first includes the selection of segments, joints, and muscles to examine – originating from one or more clinical (working) hypotheses or symptom regions. This drives the configuration and placement of required surface markers and electrodes. Then, the required calibration and functional movement trials are executed. After measurement, the outcome parameters get extracted and analyzed. Based on the results the hypothesis is discarded or verified.
Content:
The method was applied to a violinist (female; 18 years old; 13 years of experience; practicing 2 to 3 hours per day, 7 days per week) with playing-related demands in the left cervical-shoulder-arm region.
Subjective findings indicated that the pain regularly occurred after 30 minutes of playing fast or difficult musical pieces. Physical examination showed that strength testing of left serratus anterior muscle caused pain, lower trapezius muscles seemed weak, forearm muscles were sensitive to pressure, movement of the cervical spine to the left was reduced, and upper limb neural tension test was noticeable.
This led to the following working hypothesis: Neck-related arm pain with neurodynamic component and motor control problem in the scapulothoracic region. Thus, left-sided cervical-shoulder-arm region was selected for functional examination.
Optoelectronic motion capture system and surface electromyography were used for data collection. Static and function calibration trials as well as functional assessment trials (chromatic scale with different tempi) were conducted. Afterwards, data was further processed, and outcome parameters were extracted.
Results showed that greater tempo and pain had an impact on the rotation angles and muscle activities. They led to less overall joint movement and range of motion, to less muscle activity in the forearm muscles, and to greater activity inputs in the scapulothoracic muscles. Overall, greater tempo and pain led to a different motor program which verified the working hypothesis.
The procedure was repeated after treatment (four appointments over one week) with manual therapy, training, and education. The pre-/post-interventional comparison showed changes in the motor program. There was noticeable higher mean activity in upper trapezius and deltoid muscles and simultaneously less in the remaining ones. In addition, only marginal differences in ranges of motion and muscle activity inputs were found between tempi. The playing style appeared to be more stable now. Overall, it appeared that nearly the same motor program was used for each tempo.
Clinical Implications:
Potential applications are intraindividual evaluations of simultaneously joint and muscular function in string players during clinical consultation. It is intended to contribute to the diagnosis of PRMDs in terms of an objective, comprehensive and yet clinically feasible diagnostic assessment as well as pre-post-intervention outcome evaluation.
Nonetheless, motion analysis must be used with care in clinical decision making. Motion data is subject to both, intraindividual variations, and measurement errors. In addition, the smallest clinically relevant changes are not clear yet. Therefore, results should only be interpreted together with other clinical findings.
Rationale
Playing the trombone can lead to playing-related musculoskeletal disorders (PRMD). Previous research suggests that professional trombonists predominantly struggle with PRMD on the left body side. An increasing volume leads to an increasing contact pressure on the mouthpiece of the trombone, but it is still unclear how the muscle activity relates to this and whether it differs in musicians with PRMD from those without PRMD.
Purpose
The purpose of this study was to investigate the relationship between the activity of different muscles of the left body side, the contact pressure on the mouthpiece and the volume level in healthy trombonists.
Methods
Six male healthy tenor trombonists were included in this study and run through a standardized protocol which consisted of playing a b-flat major scale with three different volume levels (pianissimo, mezzoforte, fortissimo). Analyzed parameters were (1) the activity of several muscles of the left body side (measured with surface electromyography), (2) the contact pressure on the mouthpiece (measured with a force sensor) and (3) the different volume levels.
Results
Analysis of variance reveals significant differences of the muscle activity for the three volume levels. Depending on the volume level and the selected muscle, results show very weak to moderate correlations between contact pressure on the mouthpiece and muscle activity (Spearman´s rho between .11 and .58). The strongest correlation across all muscles occurs during fortissimo playing.
Conclusions
These results show a relationship in healthy trombonists between volume level, contact pressure on the mouthpiece and muscle activity when playing a b-flat major scale. Future research should include trombonists with PRMD to enable comparison between PRMD and non-PRMD musicians.
Educational Objectives:
At the end of the presentation, the participants will be able to…
1. understand the relationship between muscle activity, contact pressure on the mouthpiece and volume when playing the trombone
2. recognize that there are different muscle activity patterns on the left body side when playing the trombone
3. understand that a comprehensive functional diagnosis is important in the management of musicians
Currently, soil nutrient analysis involves two separate processes for soil sampling and nutrient analysis: 1. field soil sampling and 2. laboratory analysis. These two - separate - main work processes are combined and conceptualised for a mobile field laboratory so that soil sampling and analysis can be carried out simultaneously in the field. The module-based field laboratory "soil2data" can carry out these two main work processes in parallel and consists of 5 different task-specific modules that build on each other: app2field, field2soil, app2liquid, liquid2data and data2app. The individual modules were designed and built for the sub-process steps and adapted to the special features of the mobile field laboratory "soil2data". The biggest advantage is that the analysis results are available immediately, and a fertiliser recommendation can be generated instantly. For further analyses, the results are stored in the data cloud. The soil material remains in the field. In the ongoing project "Prototypes4soil2data", the mobile field laboratory soil2data is being further developed into a prototype with a modular structure.
background: Musculoskeletal problems (MP) are widespread in performing artists and are due to the special demands of instrument playing, singing or dancing. Additionally, various other factors might contribute to performance-related MP. To provide a specific physiotherapeutic management for performing artists it is important to gain information about the performing art, the individual demands and contributing factors. The subjective examination (SE) is the basis of the clinical reasoning process and the hypothesis forming for further clinical examination and biomechanical analysis. In the present protocol, the SE consists of a questionnaire-based section and an interview-based section and is part of the evaluation process of the neuromusculoskeletal examination of a performing artist specific reference laboratory.
purpose: To develop a standardized SE protocol divided into a questionnaire-based section (Part 1) via web application and an interview-based SE (Part 2) to address MP of performing artists.
methods: The questionnaires for part 1 were selected based on the expertise of the research group and the psychometric properties of each possible questionnaire. A common physiotherapeutic recording of findings which addresses the relevant questions of the SE of MP was used. To adapt the anamnesis to performing-associated MP questions specific to instrument playing, singing and dancing were selected on the basis of a literature search and the expertise of the research group.
summary of content/results: Part 1 consists of three topics. (1) information about the performing art, professional level and sociodemographic data, (2) information about pain and pain processing, and (3) the anatomical location of the main MP including a body region-specific questionnaire. Part 2 is based on the five aspects of clinical practice described by Maitland and the Musculoskeletal Clinical Translation Framework by Mitchell et al. The performing arts specific part is particularly focused on performing art specific considerations, physical and psychosocial contributing factors and art-specific activities.
significance: This standardized SE protocol should help clinicians evaluating the musculoskeletal health of performing artists in a standardized and specific way.
Background: Musculoskeletal problems (MP) are widespread in performing artists and are due to the special demands of instrument playing, singing or dancing. In order to specifically evaluate these problems, a reference laboratory is under development. The evaluation covers 4 steps: a subjective examination (SE) including (1) a questionnaire-based online survey and (2) an interview-based anamnesis. On the basis of the results of the SE, hypotheses are formed for (3) an individual musculoskeletal clinical examination and a (4) biomechanical analysis. Here, the focus is on the clinical examination.
Purpose: to develop a standardized protocol for a clinical examination addressing especially musculoskeletal problems in performing artists.
Methods: A common physiotherapeutic clinical examination should be supplemented with techniques, which are specific to performance-related musculoskeletal problems and/or their risk factors. The development was based on a literature search and the clinical expertise of the physiotherapeutic research group.
Summary of content/Results: The performing arts specific clinical examination includes the common analysis of posture as well as passive/active movement capacities and specific differentiating tests in relation to the signs and symptoms of the individual artist. The examination is supplemented by a functional demonstration focusing on the special demands of playing the respective instrument, while singing or dancing. Common overuse risk factors like hypermobility, special anthropometric data or an examination of the motor control of different body regions are addressed. Optional, the various parts of the examination process could be skipped, if not relevant for the individual artist.
Significance: This clinical examination protocol should help clinicians evaluating the musculoskeletal health of performing artists in a standardized and specific way.
The Corona pandemic confronted societies with several unexpected constraints that had the effect of making certain goods much scarcer than before. Withdrawal from Russian oil and gas supplies has a similar effect. Carbon abatement can also be seen as a deliberate choice to make certain goods scarc-er than they actually are. These parallels suggests that it may be worthwhile to take a close look at societies’ responses to all three challenges. This paper makes an attempt to synthetize empirical and theoretical insights regarding these scarcity shocks from a well-being perspective, i.e. replacing the prevalent welfare economic focus on production and consumption with a focus on sustainable well-being.
Taking the case of Germany, it will be argued that the observed responses to all three challenges reflect a focus on maintaining incomes and production and that therefore these responses risk being detrimental to sustainable wellbeing and even to economic stability. This is particularly relevant if carbon abatement requires not only transient material sacrifices but lasting and significant reduc-tions of consumption.
It will be argued that the impact of these new scarcities will be much less problematic in a society that acknowledges the priority of sustainable wellbeing over production and consumption measures. Such a society would still need to incur material sacrifices, but these need not translate into a loss of wellbeing if economic conditions and social norms adapt. This will also be more sustainable not only in terms of ecological impact, but also in terms of debt, inflation and inequality.
rationale: Musculoskeletal problems are widespread in performing artists and are due to the special demands of instrument playing, singing or dancing. Additionally, various other factors might contribute to performance-related musculoskeletal problems. In order to provide a specific physiotherapeutic management for performing artists, it is important to gain information about the performing art, the individual (biomechanical) demands and contributing factors. The subjective examination is the basis of the clinical reasoning process and the hypothesis forming, which is important for goal setting in further clinical examination and biomechanical analysis. In the present protocol, the subjective examination consists of a questionnaire based section and an interview based section and is part of the evaluation process of the neuromusculoskeletal examination of a performing artist specific reference laboratory.
purpose: The aim of this study was to develop a standardized protocol for an interview based subjective examination of performing artists with musculoskeletal problems. The results of this section of the subjective examination will be combined with the results of the questionnaire based subjective examination , in order to gather as much relevant information as possible to specifically address the individual’s musculoskeletal health status.
methods: A common physiotherapeutic recording of findings which addresses the relevant questions of the subjective examination of musculoskeletal problems was used. In order to adapt the anamnesis to performing-related musculoskeletal problems, questions specific to instrument playing, singing and dancing were selected on the basis of a literature search and the expertise of the research group.
results: The protocol is based on the five aspects of clinical practice described by Maitland and the Musculoskeletal Clinical Translation Framework by Mitchell et al. (2017) .The performing art specific questions especially address (1) performing art specific considerations including style, genre, education and professional level, practice habits, repertoire, and external factors, e.g. concert conditions, (2) performing art specific physical and psychosocial contributing factors, and (3) performing art specific activities which trigger the musculoskeletal problems and help to form hypotheses for the following clinical examination. Individual tracks lead through the subjective examination so that irrelevant questions are skipped depending on the kind of musculoskeletal problem and the performing art practiced by the individual client.
conclusions: A pretest of this standardized anamnesis protocol is ongoing in a special physiotherapy clinic for performing artists since spring 2022. In an iterative approach, the protocol will be continuously improved based on patient feedback and clinical considerations.
This study describes the eHealth4all@eu course development pipeline that builds upon the TIGER educational recommendations and allows a systematic development grounded on scientific and field requirements of competencies, a case/problem-based pedagogical approach and finally results in the syllabus and the course content. The pipeline is exemplified by the course Learning Healthcare in Action: Clinical Data Analytics.
Communication deficits belong to the most frequent errors in patient handovers calling upon specialized training approaches to be implemented. This study aims to harness problem-based learning (PBL) methods in handover education and evaluated the learning process. A digitally enabled PBL course was developed and implemented at Klinikum Osnabrück from which eight nurses participated in the course. They agreed on the stimulating effect of the setting regarding self-directed learning and on the potential to translate the new knowledge and skills into the daily clinical practice. In conclusion, the findings are promising that a digitally enabled PBL course is a suitable learning format for handover education.
Background:
Neck pain is one of the most common musculoskeletal pains and among the fourth leading causes of years of life lost due to disability, following back pain, depression, and arthralgia. (1)
In the course of their lives, about 70% of all people will experience a clinically relevant episode of neck pain, (2) so finding a good therapy to treat it is of high interest. Aerobic exercise is associated with pain reduction in patients with different types of MSK pain. Recent studies have shown a positive impact of aerobic exercises on brain function, memory processing, cognition, and motor function. (3, 4)
Therefore, the influence of aerobic exercise on pain modulation seems to be of particular interest for individuals with chronic MSK pain, since brain imaging studies have shown that these patients have structural and functional changes, as well as abnormal brain features in various areas of the brain. The evidence regarding the effectiveness of aerobic exercise for neck pain seems limited and outdated.
Thus, a systematic review evaluating the effects of aerobic exercise in patients with neck pain is needed. Therefore, this review aims to investigate the effectiveness of aerobic exercise interventions when compared to other conservative and non-conservative interventions (e.g., localized exercises, medication, acupuncture, physical agents, manual therapy) to decrease pain intensity in people with neck pain.
Materials and methods:
Electronic literature searches were conducted in a total of six databases such as Medline, Embase, CINAHL, Cochrane Library, Web of Science, and Scopus. The review considered randomised controlled trials (RCTs) including patients over 18 years having musculoskeletal pain in the neck area. The Neck Pain Task Force's classification of pain severity describes four levels of neck pain, with the first three levels considered in this review. (5)These must be clinically diagnosed by a health care provider according to signs and symptoms or based on standardized criteria specific for each disease. Studies involving subjects with any pre-existing conditions, previous surgery, or pain not clearly related to the musculoskeletal system were excluded. No limits were applied in terms of sex, ethnicity, and living country. Data were extracted using a standardized data extraction form.
Methodological quality was determined using the Cochrane Collaboration Risk of Bias Tool (CCRBT) and the strength of the evidence with Grading of Recommendations Assessment, Development, and Evaluation (GRADE). Data were extracted and evaluated by two independent reviewers.
Results:
A total of 21585 records were identified and screened independently for eligibility by two reviewers. A total of six unique studies, reported on ten manuscripts met the specified inclusion criteria. Different types of aerobic exercise were used in the studies. Studies included isolated and combined aerobic exercise using interventions such as cycling on an ergometer or walking outdoors at a moderate intensity. Comparison groups were for example strength training or education. The most common outcome was pain assessed with the Visual Analogue Scale (VAS) or the Nordic questionnaire.
The included studies had a high risk of bias and the overall quality of the evidence for this systematic review was considered low. There was high heterogeneity in the included studies regarding interventions applied and study results.
When looking at the effect of aerobic exercise versus control group or other intervention groups measured with VAS, it can be observed, that there was a great heterogeneity between studies results (different magnitudes and directions). Although none of the comparisons showed a statistically significant difference between aerobic exercise and control (MD 6.24 mm, 95% CI [-11.21; 23.96]) or active intervention groups (MD -9.52 mm, 95% CI [-18.48; -0.56]) on pain intensity; it seems that aerobic exercise is slightly better than a control group, and equally effective as other active treatments such as strength exercise or education.
In addition, when combined with other therapeutic modalities, aerobic exercise, could potentially help to reduce pain intensity (MD 7.71 mm, 95% CI [1.07; 14.35]). Especially in the long term, the combination of strength and aerobic exercise showed promising results. Statistically significant differences in favour of aerobic exercise for pre vs. three months follow up (MD 11.20 mm, 95% CI [2.85;19.55]) and pre vs. six moths follow up (MD 15.10 mm, 95% CI [6.99; 23.21]) were found.
Conclusions:
Although there is currently limited evidence on the effectiveness of aerobic exercise in individuals with chronic neck pain, aerobic exercise was found to not only reduce pain intensity, but also to improve disability as well as physical and emotional functioning. However, as the evidence is limited, low quality, and heterogeneous, further research is needed in this area to obtain more accurate results.
The production of food-grade substances and complex biocatalysts used as additives or active ingredients – mainly for food applications – can be achieved in the eukaryotic expression system of Aspergillus niger. Food proteins or food enzymes e.g., casein, ovalbumin, phytase or glucoamylase are highly complex polymers. Most of them could be used as nitrogen or energy source for animals and humans, while others are industrial relevant biomass-degrading enzymes used for biological waste processing and food production.
However, the successful production of novel recombinant proteins can be challenging, resource- and time consuming. Therefore, A. niger mutant libraries are needed to understand the “adjusting screws” to produce high yields of recombinant proteins, preferably even in a kind of generic, transferable system. In order to establish a universal and multipurpose expression platform, there is the need to overcome the lack of high throughput assays first.
To tackle this problem, we designed a modular, quantitative and feasible high-throughput screening system to express and screen recombinant proteins regarding their stability and functionality in A. niger. For this purpose a dual-luciferase reporter gene system, which is applicable in small scale will be established for A. niger. After the generation of an A. niger secretion mutant library, the system will be transferred and tested to other proteins of interest. The technology can be integrated into bio-regenerative life support systems for the autonomous production of e.g., food, food additives and food enzymes on earth as well as in deep-space.
Knowledge of the small-scale nutrient status of a field is an important basis for decision-making when it comes to optimising the fertiliser use in crop production. Currently, the traditional method involves soil sampling in the field and soil sample analysis in the laboratory as two separate working processes.
The previous research project "soil2data" developed a mobile field laboratory for different carrier vehicles. In the follow-up project "prototypes4soil2data", the results of soil2data are further developed. A mixed soil sample is collected during the drive on the field. The soil sample is then wet-chemically prepared and analysed. The overall soil sampling and analysis process is divided into the following process steps: soil sampling planning, soil sampling, soil preparation, soil analysis and data management. The process steps are modified for the mobile field laboratory and the process steps run in parallel. The new soil extraction method is based on official German methods (VDLUFA) to ensure the interoperability of the analysis results with the VDLUFA fertiliser recommendations. An innovative key component is the NUTRISTAT analysis module (lab-on-chip with ISFET measurement technology). It can measure pH, the nutrients NO3-, H2PO4-, K+ and the electrical conductivity. In addition to the advantages of rapid data availability and no need to transport soil material to the laboratory, it provides a future basis for new application, e.g. verification of current results in the field during soil sampling with existing results or dynamic adjustment of soil sampling during work in the field.
Perceptions of German consumers regarding methods for fortifying foods with iodine (Abstract)
(2022)
The Internet of Things (IoT) is the enabler for new innovations in several domains. It allows the connection of digital services with real, physical entities. These entities are devices of different categories and range in size from large machinery to tiny sensors. In the latter case, devices are typically characterized by limited resources in terms of computational power, available memory and sometimes limited power supply. As a consequence, the use of security algorithms requires expert knowledge in order for them to work within the limited resources. That means to find a suitable configuration for the algorithms to perform properly on the device. On the other side, there is the desire to protect valuable assets as strong as possible. Usually, security goals are captured in security policies, but they do not consider resource availability on the involved device and their consumption while executing security algorithms. This paper presents a resource aware information exchange model and a generation tool that uses high-level security policies as input. The model forms the conceptual basis for an automated security configuration recommendation system.
Taking the transdisciplinary research study “Green fingers for a climate resilient city”, funded by the German Ministry of education and research (BMBF), as an example, this paper follows the hypothesis that processes of landscape planning and designing multifunctional green spaces and processes of co-creation need to be combined to stimulate climate resilient city transformation. The findings are that efforts to combine these processes benefit from making complex climate-resilient city planning accessible for people of different professional backgrounds. The paper showcases how storytelling (Schmidt 2019), mapping (Langner 2009) and guided walks (Schultz 2019) are means to mutually engage with, perceive and understand multifunctional green spaces, inspire ownership, and build capacity for the city’s climate-resilient transformation.
When the ECLAS Conference took place in 1972 western societies were undergoing profound change: They transformed from industrial to postindustrial societies – the so-called service societies. 50 years later, the knowledge society is emerging: Knowledge is considered the key resource of this era. Digitalization and widespread dissemination of ICT allow information to be obtained anywhere anytime. This has severe implications for individual lifestyles and everyday practices. Different aspects of living, learning and working are no longer bound to physical limitations but can be enhanced by or even transferred to the virtual space. So being on the move today means travelling in hybrid spaces. We call this the space and practice “en route”.
At the University of Applied Sciences Osnabrück we explore the following questions:
What does “en route” mean and look like in landscapes of higher education?
How is it perceived individually?
(How) can landscape architecture shape it?
Our transdisciplinary research project EN ROUTE aims to meet current challenges at universities (e.g. digitalisation, sustainable development) with a comprehensive understanding of space and practices “en route”. In a transdisciplinary process, researchers from various disciplines – landscape architecture, geography, urban planning, business administrations and marketing, energy technology and computer science – develop concepts and strategies for sustainable and digital mobility in the higher education sector. New “EN ROUTE” types provide insights into the individual production and utilization of spaces “en route”.
The campuses of the University of Applied Science Osnabrück as well as the virtual and physical space network of its members serve as research example. Initial findings will be presented at the conference. While the ECLAS conference in 1972 focused on physical scales, landscape architecture has to reflect them critically and ask: What could be an innovative understanding of spaces “en route”?
The contribution follows the hypothesis that the concept of transformative resilience can be a driver in transdisciplinary processes bringing together landscape planning and landscape design. Combining processes of generating, structuring and spatializing knowledge on landscape functions and designing visions for sustainable landscapes on different scales benefits from the creative use of mappings.
Taking the transdisciplinary research study “Green fingers for a climate resilient city”, funded by the German Ministry of education and research (BMBF), as an example, this paper follows the hypothesis that processes of landscape planning and designing multifunctional green spaces and processes of co-creation need to be combined to stimulate climate resilient city transformation. The findings are that efforts to combine these processes benefit from making complex climate-resilient city planning accessible for people of different professional backgrounds. The paper showcases how storytelling (Schmidt 2019), mapping (Langner 2009) and guided walks (Schultz 2019) are means to mutually engage with, perceive and understand multifunctional green spaces, inspire ownership, and build capacity for the city’s climate-resilient transformation.
This paper presents a framework for OMNeT++ which includes time synchronization model for WLANs. Synchronization is based on the Generalized Precision Time Protocol (gPTP) standard, which aims to achieve an accuracy of less than 100 nanoseconds. The presented model is developed and implemented in OMNeT++, a discrete event network simulator, using its INET library. A new type of WLAN node is modeled which supports time synchronization at the Link layer. A clock module for WLAN nodes is also modeled which implements variable clock drift to simulate noise interference in clock frequency oscillators. Simulations with our WLAN nodes are done and the results show that using gPTP based time synchronization in wireless networks, accuracy of ±3ns can be achieved.
Rationale:
Biomechanical analyses are capable of capturing and evaluating human motions. In addition to the major biomechanical fields of kinetics and kinematics, electromyography (EMG) provides a reliable way to analyse neuromuscular activities, e.g. inter- and intramuscular coordination, fatigue behavior or timing. Based on these parameters it is possible to conclude to clinically relevant parameters such as motor control, muscular coordination or compensation strategies with different loads. In addition to this, EMG can be used in treatment itself, e.g. biofeedback-training with an EMG is an effective and evidenced based tool to improve neuromuscular control.
Purpose:
To show the importance of EMG in musicians´ health and to demonstrate additional therapy and diagnostic options.
Educational Objectives:
At the end of the workshop, the participants will be able to…
1. understand and describe the basic principles of EMG
2. understand and describe the importance of EMG in the context of musicians´ health, physical therapy and the clinical reasoning process
3. use EMG on musicians in the performance process
Content of Presentation:
This workshop briefly introduces the theoretical principles of EMG and the clinical applications in the context of musicians´ health. It explains why EMG provides an additional value in the clinical reasoning process and supports the therapist, but decision making in the clinical reasoning process should never be based on EMG solely.
In the further course of the workshop the use of EMG in diagnostics and therapy (biofeedback) with musicians is practically demonstrated and discussed with the participants.
Approach of Presentation:
1. Short presentation: introduction and understanding of EMG (educational objective 1)
2. Short case presentation of a musician to introduce EMG in the field of musicians´ health and the clinical reasoning process (educational objective 2)
3. Interactive practical demonstration (diagnosis and biofeedback-training) as the central part of the workshop. Questions and comments will be discussed directly throughout the group (educational objective 3)
Clinical Significance:
EMG based functional neuromuscular diagnostics and biofeedback-training provides both the therapist as well as the musician with additional value in their clinical work.
Rationale:
Biomechanical analyses are capable of capturing and evaluating human motions. In addition to the major biomechanical fields of kinetics and kinematics, electromyography (EMG) provides a reliable way to analyse neuromuscular activities, e.g. inter- and intramuscular coordination, fatigue behavior or timing. Based on these parameters it is possible to conclude to clinically relevant parameters such as motor control, muscular coordination or compensation strategies with different loads. In addition to this, EMG can be used in treatment itself, e.g. biofeedback-training with an EMG is an effective and evidenced based tool to improve neuromuscular control.
Purpose:
To show the importance of EMG in musicians´ health and to demonstrate additional therapy and diagnostic options.
Educational Objectives:
At the end of the workshop, the participants will be able to…
1. understand and describe the basic principles of EMG
2. understand and describe the importance of EMG in the context of musicians´ health, physical therapy and the clinical reasoning process
3. use EMG on musicians in the performance process
Content of Presentation:
This workshop briefly introduces the theoretical principles of EMG and the clinical applications in the context of musicians´ health. It explains why EMG provides an additional value in the clinical reasoning process and supports the therapist, but decision making in the clinical reasoning process should never be based on EMG solely.
In the further course of the workshop the use of EMG in diagnostics and therapy (biofeedback) with musicians is practically demonstrated and discussed with the participants.
Approach of Presentation:
1. Short presentation: introduction and understanding of EMG (educational objective 1)
2. Short case presentation of a musician to introduce EMG in the field of musicians´ health and the clinical reasoning process (educational objective 2)
3. Interactive practical demonstration (diagnosis and biofeedback-training) as the central part of the workshop. Questions and comments will be discussed directly throughout the group (educational objective 3)
Clinical Significance:
EMG based functional neuromuscular diagnostics and biofeedback-training provides both the therapist as well as the musician with additional value in their clinical work.
Animal husbandry methods also play an important role in public discussion, as animal welfare is often valued in society by visual perceptions. In this context, there is often an idealized idea of livestock husbandry and nutrition, which is staged by ideal-typical images. In the minds of many citizens, nature-loving images trigger a positive imagination that results from the longings of urban living conditions. Media and stakeholder analyses indicate that the use of straw in livestock husbandry and nutrition also has a positive impact on the welfare of livestock. According to this, straw is preferred by the public for more animal welfare. But what is not considered is the fact that the straw must be of impeccable hygienic quality
Due to the resource-constrained nature of embedded systems, it is crucial to support the estimation of their power consumption as early in the development process as possible. Non-functional requirements based on power consumption directly impact the software design, e.g., watt-hour thresholds and expected lifetimes based on battery capacities. Even if software affects hardware behavior directly, these types of requirements are often overlooked by software developers because they are commonly associated with the hardware layer. Modern trends in software engineering such as Model-Driven Development (MDD) can be used in embedded software development to evaluate power consumption-based requirements in early design phases. However, power consumption aspects are currently not sufficiently considered in MDD approaches. In this paper, we present a model-driven approach using Unified Modeling Language profile extensions to model hardware components and their power characteristics. Software m odels are combined with hardware models to achieve a system-wide estimation, including peripheral devices, and to make the power-related impact in early design stages visible. By deriving energy profiles, we provide software developers with valuable feedback, which may be used to identify energy bugs and evaluate power consumption-related requirements. To demonstrate the potential of our approach, we use a sensor node example to evaluate our concept and to identify its energy bugs.
This paper provides a discourse based upon the key development of nursing in response to the emerging 4Ds of health technology re-design. Building informatics capability among health professionals is a workforce issue necessitated through the increasing prevalence of information technology and digitization of healthcare affecting the entire health workforce, specifically front-line nurses. The key concepts will be explored of Digitization, Distribution, Disruption and Diversity, a framework recognising the tsunami of technology such as Big Data analytics, comprehensive decision support systems for nursing, nanobots, robotics, and pharmacogenomics and the impact these have upon the nursing workforce.
Building on Rogers’ Diffusion of Innovation Theory, Bass models describe the diffusion processes distinguishing between innovation (p) and imitation (q). This study aimed at modelling the uptake of RIS, PACS and EHR systems in Germany and Finland. The Bass models revealed a quick and almost identical uptake process across all three systems for Finland. In contrast, the Bass models mirrored a slower uptake in Germany. Consequently, the Finnish “imitation” coefficients were larger than the German ones. While in Germany almost free market forces were driving the adoption through imitation but without tail wind from policy, the adoption process in Finland was centrally governed. This suggests that the diffusion process in Finland reflected a well-managed roll-out of the systems rather than imitation behaviour. Thus, in order for Bass model coefficients to be understood properly, additional contextual information is required.
Access to digital technologies depends on the availability of technical infrastructure, but this access is unequally distributed among social groups and newly summarized under the term digital divide. The aim is to analyze the perception of a tracing app to contain Covid-19 in Germany. The results showed that participants with the highest level of formal education rate the app as beneficial and were the most likely to use the app.