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While the topic of artificial intelligence (AI) in multinational enterprises has been receiving attention for some time, small and medium enterprises (SMEs) have recently begun to recognize the potential of this new technology. However, the focus of previous research and AI applications has therefore mostly been on large enterprises. This poses a particular issue, as the vastly different starting conditions of various company sizes, such as data availability, play a central role in the context of AI. For this reason, our systematic literature review, based on the PRISMA protocol, consolidates the state of the art of AI with an explicit focus on SMEs and highlights the perceived challenges regarding implementation in this company size. This allowed us to identify various business activities that have been scarcely considered. Simultaneously, it led to the discovery of a total of 27 different challenges perceived by SMEs in the adoption of AI. This enables SMEs to apply the identified challenges to their own AI projects in advance, preventing the oversight of any potential obstacles or risks. The lack of knowledge, costs, and inadequate infrastructure are perceived as the most common barriers to implementation, addressing social, economic, and technological aspects in particular. This illustrates the need for a wide range of support for SMEs regarding an AI introduction, which covers various subject areas, like funding and advice, and differentiates between company sizes.
Purpose
This study operationalizes risks in stakeholder dialog (SD). It conceptualizes SD as co-produced organizational discourse and examines the capacities of organizers' and stakeholders' practices to create a shared understanding of an organization’s risks to their mutual benefit. The meetings and online forum of a German public service media (PSM) organization were used as a case study.
Design/methodology/approach
The authors applied corpus-driven linguistic discourse analysis (topic modeling) to analyze citizens' (n = 2,452) forum posts (n = 14,744). Conversation analysis was used to examine video-recorded online meetings.
Findings
Organizers suspended actors' reciprocity in meetings. In the forums, topics emerged autonomously. Citizens' articulation of their identities was more diverse than the categories the organizer provided, and organizers did not respond to the autonomous emergence of contextualizations of citizens' perceptions of PSM performance in relation to their identities. The results suggest that risks arise from interactionally achieved occasions that prevent reasoned agreement and from actors' practices, which constituted autonomous discursive formations of topics and identities in the forums.
Originality/value
This study disentangles actors' practices, mutuality orientation and risk enactment during SD. It advances the methodological knowledge of strategic communication research on SD, utilizing social constructivist research methods to examine the contingencies of organization-stakeholder interaction in SD.
While recent studies have demonstrated that events are fundamentally climate sensitive, this seems to not be fully considered in event research or corporate event practice. Thus, this study aims to identify the influencing factors that affect the acceptance of climate adaptation measures among decision-makers in the event industry. The analysis was divided into three main parts. First, the existing literature related to climate change in an events context was reviewed. Using 15 semi structured interviews, the findings from this review were then critically discussed with stakeholders in Germany involved in event planning. Finally, explicit climate adaptation measures were proposed and discussed. Based on all findings, there appears to be a low level of awareness of and interest in climate adaptation amongst German event industry players. There is an imminent need for further research on climate adaptation and for decision-makers to better prepare for climate change in order to counteract resulting negative impacts.
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.
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) 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.
In modern times, closed-loop control systems (CLCSs) play a prominent role in a wide application range, from production machinery via automated vehicles to robots. CLCSs actively manipulate the actual values of a process to match predetermined setpoints, typically in real time and with remarkable precision. However, the development, modeling, tuning, and optimization of CLCSs barely exploit the potential of artificial intelligence (AI). This paper explores novel opportunities and research directions in CLCS engineering, presenting potential designs and methodologies incorporating AI. Combining these opportunities and directions makes it evident that employing AI in developing and implementing CLCSs is indeed feasible. Integrating AI into CLCS development or AI directly within CLCSs can lead to a significant improvement in stakeholder confidence. Integrating AI in CLCSs raises the question: How can AI in CLCSs be trusted so that its promising capabilities can be used safely? One does not trust AI in CLCSs due to its unknowable nature caused by its extensive set of parameters that defy complete testing. Consequently, developers working on AI-based CLCSs must be able to rate the impact of the trainable parameters on the system accurately. By following this path, this paper highlights two key aspects as essential research directions towards safe AI-based CLCSs: (I) the identification and elimination of unproductive layers in artificial neural networks (ANNs) for reducing the number of trainable parameters without influencing the overall outcome, and (II) the utilization of the solution space of an ANN to define the safety-critical scenarios of an AI-based CLCS.
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.