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Nitrogen (N) pollution of groundwater bodies is often a result of high livestock densities combined with use of mineral N fertilisers in Northwest Germany, specifically in combination with sandy soils and high amounts of precipitation. Organic agriculture is discussed as an alternative management practice reducing nitrogen losses due to area-based livestock densities and waiving of mineral N fertilisers. A field trial with integrated ceramic suction cups over three years showed potential for reduced N loads under conventional management specifically with organic fertilisation. Now, the field trial is under transition into organic farming with promising additional benefits for drinking water quality and the great potential to develop optimised N management strategies.
Objectives: Among varied challenges of COVID-19, challenges in food and nutrition security world-over are critical. We compared the nutritional policy responses in India and Germany since both countries differ on the Human Development Index, yet both have committed to the G20 common policy response to COVID-19, besides the comparability of two large and heterogeneously populated countries, both having democratic governments.
Methods: Policy research publications were reviewed using qualitative meta-policy approach. We used comparative case-study. Recent food and nutrition policies of G20 nations of India and Germany were evaluated.
Results: India has primarily targeted her public distribution system and Germany has primarily targeted her food markets in order to manage the food and nutrition security in response to COVID-19. Both countries are coordinating additional associated nutritional policies, policies and strategies to effect an integrated sectoral approach to COVID-19 management. Both are using corrective measures of the process management strategies as well. However, the Indian management of micronutrient security for her population has over COVID-19 times acerbated and the German loan management to nutrition and agricultural small-scale industry appears to be functioning sub-optimally.
Conclusions: Our analysis indicates both India and Germany have responded to COVID-19 in a timely and appropriate manner regarding the food and nutrition security measures. Even so not all measures employed to tackle COVID-19 food and nutrition security have been effectively implemented, It appears, that both countries are using integrated policy in their nutrition and food security response to COVID-19.
Studies on nutrition have historically concentrated on food-shortages and over-nutrition. The physiological states of feeling hungry or being satiated and its dynamics in food choices, dietary patterns, and nutritional behavior, have not been the focus of many studies. Currently, visual analytic using easy-to-use tooling offers applicability in a wide-range of disciplines. In this interdisciplinary pilot-study we tested a novel visual analytic software to assess dietary patterns and food choices for greater understanding of nutritional behavior when hungry and when satiated. We developed software toolchain and tested the hypotheses that there is no difference between visual search patterns of dishes 1) when hungry and when satiated and 2) in being vegetarian and non-vegetarian. Results indicate that food choices can be deviant from dietary patterns but correlate slightly with dish-gazing. Further, scene perception probably could vary between being hungry and satiated. Understanding t he complicated relationship between scene perception and nutritional behavioral patterns and scaling up this pilot-study to a full-study using our introduced software approaches is indispensable.
Career Decisions of Indian Female Talent: Implications for Gender-sensitive Talent Management
(2020)
Purpose: Talent scarcity in emerging economies such as India poses challenges for companies,and limited labour market participation among well-educated women has been observed. The reasons that professionals decide not to pursue a further corporate career remain unclear. By investigating career decision making, this article aims to highlight (1) the contextual factors that impact those decisions, (2) individuals’ agency to handle them, and (3) the implications for talent management (TM).
Design/methodology/approach: Following a qualitative research design, computer-aided analysis was conducted on interviews with 24 internationally experienced Indian business professionals. A novel application of neo-institutionalism in the Indian context was combined with the family-relatedness of work decisions (FRWD) model.
Findings: Career decisions indicate that rebellion against Indian societal and family expectations is essential to following a career path, especially for women. TM as part of the current institutional framework serves as a legitimising façade veiling traditional practices that hinder females’ careers.
Research limitations: Interviewees adopted a retrospective perspective when describing their career decisions; therefore, different views might have existed at the moment of decision making.
Practical implications: Design and implementation of gender-sensitive TM adjusted to fit the specific Indian context can contribute to retaining female talent in companies and the labour market.
Originality/value: The importance of gender-sensitive TM can be concluded from an empirical study of the context-based career decision making of experienced business professionals from India. The synthesis of neo-institutionalism, the FRWD model and the research results provides assistance in mapping talent experiences and implications for overcoming the challenges of talent scarcity in India.
The aim of the study was to examine different pH parameters, such as variations throughout the day, depending on differing concentrate feed proportions. Moreover, special attention was payed to individual variation in microbial efficiencies (microbial crude protein/fermented organic matter) and their relation to ruminal pH, nutrient flows and digestibilities. For this, cows were grouped according to microbial efficiency (more, n = 5, vs. less efficient cows, n = 4). After calving, thirteen ruminally cannulated pluriparous cows, including nine duodenally cannulated animals, were divided into groups offered rations with a lower (35% on dry matter basis, n = 7) or a higher (60% on dry matter basis, n = 6) concentrate feed proportion. Ruminal pH parameters were assessed continuously by using intraruminal probes. Nutrient flows, nutrient digestibility and microbial efficiency were determined for duodenally cannulated cows. For most ruminal pH parameters it seemed that individual variability was higher than the treatment effect. However, a positive relationship between actual concentrate intake and diurnal pH fluctuations was found. Besides, the effect of individually different microbial efficiencies was assessed. Again, there were no group differences for pH parameters. However, nutrient flows were significantly higher in more efficient cows, whereas digestibilities were lower in in more efficient cows.
Background: Pancreatic cancer is one of the malignant diseases with the highest cancer-specific mortality. At the time of diagnosis, life expectancy is often already very limited, as it is usually discovered late and in an advanced stage. Coping with cancer is a complex process. Coping strategies of patients with pancreatic cancer probably differ from those of other malignancies. Yet to date, there exists no pancreatic cancer-specific coping model.
Objective: The objective of this scoping review is to explore and characterize the academic literature related to coping processes in patients with pancreatic cancer.
Methods/Design: The JBI's three-step search strategy, combined with the Arksey and O'Malley framework, will be used to identify articles via PubMed/MEDLINE, CINAHL, Cochrane Library, Google Scholar, CAMbase, CareLit, CC Med, Scopus, and PsycARTICLES (Arksey & O'Malley, 2005; Peters et al., 2017). It follows the PRISMA guidelines for scoping reviews (Tricco et al., 2018). Primary and secondary studies and reviews which report on coping with pancreatic cancer (adenocarcinoma) in adults in English or German language will be included in this scoping review, regardless of publication date or study design.
Discussion: This scoping review will add new insights on coping with pancreatic cancer by summarizing current knowledge, and identifying research
Introduction: Handovers are a central process for ensuring information continuity in patient care and, therefore, possess a major influence on patient safety as errors due to poor handovers can lead to life-threatening events. Education to improve handovers and ensure safe patient care can be supported by using critical incident reporting systems (CIRS). The aim of the study is to perform a content analysis of a national CIRS-database with regard to identifying adverse events in handovers situations and to derive competencies for the development of continuing education from these findings.
Methods: A meta model served as a research framework to merge the empirical findings with the London protocol of analysing critical events and the Canadian framework of safety competencies. Relevant cases to be investigated were searched in a freely accessible German CIRS database.
Results: A total of 253 case descriptions were found and analysed. Team factors emerged as the most frequently reported influencing factors following the analysis of the London protocol. Communication errors and missing information as well as a lack of appropriate standards and processes appeared to be the main reasons for critical events to occur. Most of the events happened in units involving surgery and intensive care. A mapping of patient safety competences with the reasons for critical events was conducted in order to determine the practical, concrete and handover related competencies.
Conclusion: Data from a CIRS database and theoretical frameworks can be combined to extract meaningful information about patient safety risks in handover situations. The results are useful for developing curricula to improve handovers based on patient safety competencies.
Current challenges are a result of complex and multi-layered factors. They require systemic solutions: problems must be solved holistically by identifying interconnections between the different problems which are results of the same root cause. Social entrepreneurs are agents of change, their mission is to generate societal impact. I investigated how a social entrepreneurship think tank can be conceptualized to support systems change. Think tanks can conduct in-depth research to inform about the systems and share knowledge. Entrepreneurs can make strategic interventions based on the research findings. To create a framework of how social entrepreneurship think tanks can promote systems change I conducted 14 case studies. The framework is created based on the method of Theory of Change, it displays how different activities can contribute to succeeding in systems change. I outline eleven activities which include strategies in capacity building, research and collaboration with the other actors in the field. In the end, the framework is applied to the evolving case of a think tank founded in 2018.
The current narrative literature review aims to discuss clinical reasoning based on nociceptive pain mechanisms for determining the most appropriate assessment and therapeutic strategy and to identify/map the most updated scientific evidence in relation to physical therapy interventions for patients with temporomandibular disorders (TMDs). We will also propose an algorithm for clinical examination and treatment decisions and a pain model integrating current knowledge of pain neuroscience. The clinical examination of patients with TMDs should be based on nociceptive mechanisms and include the potential identification of the dominant, central, or peripheral sensitization driver. Additionally, the musculoskeletal drivers of these sensitization processes should be assessed with the aim of reproducing symptoms. Therapeutic strategies applied for managing TMDs can be grouped into tissue-based impairment treatments (bottom-up interventions) and strategies targeting the central nervous system (top-down interventions). Bottom-up strategies include joint-, soft tissue-, and nerve-targeting interventions, as well as needling therapies, whereas top-down strategies include exercises, grade motor imagery, and also pain neuroscience education. Evidence shows that the effectiveness of these interventions depends on the clinical reasoning applied, since not all strategies are equally effective for the different TMD subgroups. In fact, the presence or absence of a central sensitization driver could lead to different treatment outcomes. It seems that multimodal approaches are more effective and should be applied in patients with TMDs. The current paper also proposes a clinical decision algorithm integrating clinical diagnosis with nociceptive mechanisms for the application of the most appropriate treatment approach.
The central aim of the investigation at hand is to deal with the problem areas of Human Resource Management, which arise by demographic changes and migration. The paper focuses on mutual relationships. Managers and human resource managers are considered as multipliers. Older employees, migrants and women are important potential. Therefore, following research questions have been investigated: Which competences are necessary to promote to recognise the potential of migrants correctly and to promote them? Do the multipliers have to be more sensitized for the issue diversity? Do they have to develop specific competences to make the system more permeable and to make the entry and promotion of migrants possible? Which competences should be promoted to increase the sensitivity for diversity? The questions were examined by a qualitative investigation to develop hypotheses for a quantitative study. Overall, 30 interviews with managers, human resource managers and diversity representatives of the large DAX companies were conducted. Furthermore, 17 employees with immigration background and 15 employees without an immigration background were interviewed. The data was transcribed and analysed by the qualitative content analysis according to Mayring (2010). Comparative analyses were made with single items with Likert Scales. The investigation of managers and employees is a highly diversified issue. Therefore, the main focus of the project lays on the problem areas, conflicts and competences of human resources managers in demographic-sensitive personnel management. In comparison, employees with and without an immigration background were asked. The results show an interesting field of tension between self-perception and perception of others and the assessment of the relevance of diversity attitudes and measures, competences and their implementation. Furthermore, a contrary perception regarding strains and stresses of person with and without immigration background is determined, which is developed in the consequences of migrations stress and experiences of discrimination. The results indicate the need of promotion of competences, especially regarding intercultural competence. A critical analysis of the results will be presented.
Vanadium carbide (VC) reinforced FeCrVC hardfacings have become important to improving the lifetime of tools suffering abrasive and impressive loads. This is because the microstructural properties of such hardfacings enable the primary VCs to act as obstacles against the penetrating abrasive. Because dilution is supposed to be the key issue influencing the precipitation behaviour of primary carbides during surfacing, the development of deposit welding processes exhibiting a reduced thermal impact, and hence lower dilution to the base material, is the primary focus of the current research. By inserting an additional hot wire in the melt, an approach was developed to separate the material and energy input during gas metal arc welding (GMAW) and hence realised low dilution claddings. The carbide content could be increased, and a grain refinement was observed compared with conventional GMAW. These effects could be attributed to both the reduced dilution and heterogeneous nucleation.
Background
Diabetes mellitus is a major global health issue with a growing prevalence. In this context, the number of diabetic complications is also on the rise, such as diabetic foot ulcers (DFU), which are closely linked to the risk of lower extremity amputation (LEA). Statistical prediction tools may support clinicians to initiate early tertiary LEA prevention for DFU patients. Thus, we designed Bayesian prediction models, as they produce transparent decision rules, quantify uncertainty intuitively and acknowledge prior available scientific knowledge.
Method
A logistic regression using observational collected according to the standardised PEDIS classification was utilised to compute the six-month amputation risk of DFU patients for two types of LEA: 1.) any-amputation and 2.) major-amputation. Being able to incorporate information which is available before the analysis, the Bayesian models were fitted following a twofold strategy. First, the designed prediction models waive the available information and, second, we incorporated the a priori available scientific knowledge into our models. Then, we evaluated each model with respect to the effect of the predictors and validity of the models. Next, we compared the performance of both models with respect to the incorporation of prior knowledge.
Results
This study included 237 patients. The mean age was 65.9 (SD 12.3), and 83.5% were male. Concerning the outcome, 31.6% underwent any- and 12.2% underwent a major-amputation procedure. The risk factors of perfusion, ulcer extent and depth revealed an impact on the outcomes, whereas the infection status and sensation did not. The major-amputation model using prior information outperformed the uninformed counterpart (AUC 0.765 vs AUC 0.790, Cohen’s d 2.21). In contrast, the models predicting any-amputation performed similarly (0.793 vs 0.790, Cohen’s d 0.22).
Conclusions
Both of the Bayesian amputation risk models showed acceptable prognostic values, and the major-amputation model benefitted from incorporating a priori information from a previous study. Thus, PEDIS serves as a valid foundation for a clinical decision support tool for the prediction of the amputation risk in DFU patients. Furthermore, we demonstrated the use of the available prior scientific information within a Bayesian framework to establish chains of knowledge.
Abstract
Background
The clinical presentation of neck-arm pain is heterogeneous with varying underlying pain types (nociceptive/neuropathic/mixed) and pain mechanisms (peripheral/central sensitization). A mechanism-based clinical framework for spinally referred pain has been proposed, which classifies into (1) somatic pain, (2) neural mechanosensitivity, (3) radicular pain, (4) radiculopathy and mixed pain presentations. This study aims to (i) investigate the application of the clinical framework in patients with neck-arm pain, (ii) determine their somatosensory, clinical and psychosocial profile and (iii) observe their clinical course over time.
Method
We describe a study protocol. Patients with unilateral neck-arm pain (n = 180) will undergo a clinical examination, after which they will be classified into subgroups according to the proposed clinical framework. Standardized quantitative sensory testing (QST) measurements will be taken in their main pain area and contralateral side. Participants will have to complete questionnaires to assess function (Neck Disability Index), psychosocial factors (Tampa Scale of Kinesiophobia, Pain Catastrophizing Scale, Depression, anxiety and stress scale), neuropathic pain (Douleur Neuropathique 4 Questions, PainDETECT Questionnaire) and central sensitization features (Central Sensitization Inventory). Follow-ups at three, six and 12 months include the baseline questionnaires. The differences of QST data and questionnaire outcomes between and within groups will be analyzed using (M)AN(C)OVA and/or regression models. Repeated measurement analysis of variance or a linear mixed model will be used to calculate the differences between three, six, and 12 months outcomes. Multiple regression models will be used to analyze potential predictors for the clinical course.
Conclusion
The rationale for this study is to assess the usability and utility of the proposed clinical framework as well as to identify possible differing somatosensory and psychosocial phenotypes between the subgroups. This could increase our knowledge of the underlying pain mechanisms. The longitudinal analysis may help to assess possible predictors for pain persistency.
To assess the effect of intercropping on malting quality a field trial with spring barley (Hordeum vulgare) and legume (pea) as well as non-legume (camelina and linseed) intercrops in two additive seeding ratios as well as sole cops was established in 2017 at the organic experimental station of University of Applied Sciences Osnabrück in North-Western Germany. Two tested malting barley cultivars (cv. Marthe and cv. Odilia) showed different performance, but all variants achieved brewing quality. Results after two years indicate that linseed and camelina were able to limit protein content. For best land-use efficiency of malting barley production intercropping with linseed showed best results. Mixed intercropping can help to promote internal efficiency loops and is therefore a promising sustainable intensification strategy for more resilient future crop production under changing climate conditions.
In this study the effect of PEF pre-treatment on the microstructure of freeze-dried strawberry dices was investigated. The PEF treatment has been performed at an electric field intensity of 1.07 kV/cm and a specific energy input of 1 kJ/kg. The samples were freeze-dried at a temperature of 45 °C and a pressure of 1 mbar. The microstructure of dried material was evaluated by different physical and optical methods, such as SEM, μ-CT and thermogravimetry. Moreover, mechanical and acoustic properties as well as the colour of processed material have been analyzed. PEF pre-treated strawberry dices showed a more uniform shape, a better retention of volume and a visual better quality compared to untreated ones. Moreover, PEF pre-treatment led to a more homogeneous distribution and a greater thickness of pores. In accordance, analysis of textural properties evidenced that PEF treated freeze-dried strawberry dices were crispier than untreated ones. Measurement of L*a*b*-values showed that PEF treated material was characterized by a more preserved colour after freeze-drying than untreated ones.
Objectives
The aim of this Delphi survey was to establish an international consensus on the most useful outcome measures for research on the effectiveness of non-pharmacological interventions for migraine. This is important, since guidelines for pharmacological trials recommend measuring the frequency of headaches with 50% reduction considered a clinically meaningful effect. It is unclear whether the same recommendations apply to complementary (or adjunct) non-pharmacological approaches, whether the same cut-off levels need to be considered for effectiveness when used as an adjunct or stand-alone intervention, and what is meaningful to patients.
Setting
University-initiated international survey.
Participants
The expert panel was chosen based on publications on non-pharmacological interventions in migraine populations and from personal contacts. 35 eligible researchers were contacted, 12 agreed to participate and 10 completed all 3 rounds of the survey. To further explore how migraine patients viewed potential outcome measures, four migraine patients were interviewed and presented with the same measurement tools as the researchers.
Procedures
The initial Delphi round was based on a systematic search of the literature for outcome measures used in non-pharmacological interventions for headache. Suggested outcome measures were rated by each expert, blinded towards the other members of the panel, for its usefulness on a 5-point Likert scale ranging from definitely not useful to extremely useful. Results were combined using median values and IQRs. Tools rated overall as definitely or probably not useful were excluded from subsequent rounds. Experts further suggested additional outcome measures that were presented to the panel in subsequent rounds. Additionally, experts were asked to rank the most useful tools and provide information on feasible cut-off levels for effectiveness for the three highest ranked tools.
Results
Results suggest the use of the Migraine Disability Assessment (MIDAS), Headache Impact Test (HIT-6) and headache frequency as primary outcome measures. Patient experts suggested the inclusion of a measure of quality of life and evaluation of associated symptoms and fear of attacks.
Conclusions
Recommendations are for the use of the MIDAS, the HIT-6 and headache frequency, in combination with an outcome measure for quality of life. Associated symptoms and fear of attacks should also be considered as secondary outcomes, if relevant for the individual target population. The cut-off level for effectiveness should be lower for non-pharmacological interventions, especially when used as an adjunct to medication.
Process modeling languages help to define and execute processes and workflows. The Business Process Model and Notation (BPMN) 2.0 is used for business processes in commercial areas such as banks, shops, production and supply industry. Due to its flexible notation, BPMN is increasingly being used in non-traditional business process domains like Internet of Things (IoT) and agriculture. However, BPMN does not fit well to scenarios taking place in environments featuring limited, delayed, intermittent or broken connectivity. Communication just exists for BPMN - characteristics of message transfers, their priorities and connectivity parameters are not part of the model. No backup mechanism for communication issues exists, resulting in error-prone and failing processes. This paper introduces resilient BPMN (rBPMN), a valid BPMN extension for process modeling in unreliable communication environments. The meta model addition of opportunistic message flows with Quality of Service (QoS) parameters and connectivity characteristics allows to verify and enhance process robustness at design time. Modeling of explicit or implicit, decision-based alternatives ensures optimal process operation even when connectivity issues occur. In case of no connectivity, locally moved functionality guarantees stable process operation. Evaluation using an agricultural slurry application showed significant robustness enhancements and prevented process failures due to communication issues.
The simulation of the residual stress field achieved by shot peening cannot be carried out on component-large models. Hence, an efficient unit cell model for the simulation of the shot peening process is developed. The model allows both, the simple inclusion of a pre-stress and the evaluation of the up-arching of the Almen strip. For this purpose, generalized coupling constraints for the periodic boundaries of the unit cell are developed. These allow for displacement and rotation of the coupled boundaries relative to each other. In the coupling constraints, this is accomplished by respective variables, which can either be prescribed to the analysis or read out as a result from the analysis. Hence, the unit cell can expand, shear, bend and twist under driving forces like, e. g., residual stresses or thermal effects. At the same time, deformations of the cell’s periodic boundary pairs are kept congruent by the generalized coupling. The ability to cover expansion is novel regarding known periodic boundary conditions. Also, the application of a generalized unit cell to shot peening is new.
Results obtained with the generalized unit cell are displayed, demonstrating its capabilities: A fundamental analysis of the residual stress field from shot peening shows inhomogeneities at a fatigue relevant level to be inevitable. A validation of the model was done by comparison with experimental Almen strip shot peening tests reported in literature. Shot peening under pre-stress is demonstrated and its results in terms of residual stress are evaluated. The application of the generalized unit cell is not limited to shot peening.
Aims: This study examines the relationship between the time, students spent abroad, personality traits and circumstances during this time with the student’s intercultural competence and integration performance in the target culture. Design and sample: The study had a correlative cross-sectional design. 202 academic subjects were surveyed. The average age was 22 years. There was one measuring time, to which 58 % of the participants stated that they have had a stay abroad. Measurements: Metacognitive, cognitive, motivational and behavioural intercultural competence were measured with the Cultural Intelligence Scale. The personality traits involvement, discipline, social competence, cooperation, dominance and stability were captured with the "Bochum inventory for job-related personality description-6F". Work-related attitudes as patterns of behaviour and experience were measured using the "Work-related Behaviour and Experiencing Pattern 44" (Geman: Arbeitsbezogene Verhaltens- und Erlebensmuster; AVEM). In addition, the demographic factors and characteristics of stays abroad as well as the integration into the target culture based on the Sociocultural Adaption Scale were examined. The data was tested for relationships and differences by tests for mean differences, variance and regression analyses. Results: There was a positive correlation between duration and cognitive, motivational and behavioural intercultural competence. The motivational competence is higher in subjects who have no risk pattern in the AVEM. The different types of competence influence each other at diverse times. Moreover, the suggested structural equation model could be confirmed. This showed the effect of the AVEM pattern on intercultural competence, moderated by the stay abroad and the social competence.
Quantitative Umweltbewertungen sind von entscheidender Bedeutung, wenn es darum geht, effektiv auf nachhaltige Produktions- und Verbrauchsmuster hinzuarbeiten. In den letzten Jahrzehnten haben sich Lebenszyklusanalysen (LCA) als praktikables Mittel zur Messung der Umweltauswirkungen von Produkten entlang der Lieferkette etabliert. In Bezug auf Nutzer- und Konsummuster wurden jedoch methodische Schwächen festgestellt, und es wurden mehrere Versuche unternommen, Ökobilanzen entsprechend zu verbessern, beispielsweise durch Einbeziehung von Effekten höherer Ordnung und verhaltenswissenschaftlicher Unterstützung. In einer Diskussion solcher Ansätze zeigen wir, dass den Konzepten des Verbrauchs keine explizite Aufmerksamkeit geschenkt wurde, was häufig zu produktzentrierten Bewertungen führt. Wir führen Theorien sozialer Praktiken ein, um Konsummuster für LCA zugänglich zu machen. Soziale Praktiken sind routinierte Handlungen, die aus miteinander verbundenen Elementen (Materialien, Kompetenzen und Bedeutungen) bestehen, die sie als eine Einheit denkbar machen (z. B. Kochen). Da die meisten sozialen Praktiken eine Art von Verbrauch (Material, Energie, Luft) beinhalten, konnten wir einen Rahmen entwickeln, der soziale Praktiken mit der Ökobilanz verbindet. Der vorgeschlagene Rahmen bietet eine neue Perspektive für quantitative Umweltbewertungen, indem er den Schwerpunkt von Produkten oder Nutzern auf soziale Praktiken verlagert. Dementsprechend sehen wir die Chance darin, die reduktionistische Sichtweise zu überwinden, dass Menschen nur Nutzer von Produkten sind, und sie stattdessen als Praktiker in sozialen Praktiken zu sehen. Dieser Wandel könnte neue Methoden der interdisziplinären Konsumforschung ermöglichen, die beabsichtigte Sozialwissenschaften und wirkungsorientierte Bewertungen einbeziehen. Allerdings bedarf der Rahmen einer weiteren Überarbeitung und vor allem einer empirischen Validierung.
Jede Ernährung hat Auswirkungen auf den Gesundheitszustand des Einzelnen, auf die Umwelt und auf soziale Belange. Eine wachsende Zahl von Mahlzeiten wird in der Außer-Haus-Verpflegung eingenommen, in der eine systematische Nachhaltigkeitsbewertung nicht zur gängigen Praxis gehört. Um diese Lücke zu schließen, wurde im Rahmen des NAHGAST-Projekts ein Instrument entwickelt. Nach mehr als einem Jahr des Einsatzes des NAHGAST-Online-Tools soll nun überprüft werden, welche positiven Umwelteinflüsse durch den Einsatz des Instruments realisiert werden können. Aus diesem Grund befasst sich dieser Artikel mit der Frage, ob ein Online-Tool Akteure aus dem Bereich des Außer-Haus-Verzehrs in die Lage versetzen kann, ihre Mahlzeiten im Hinblick auf Aspekte einer nachhaltigen Ernährung zu überarbeiten. Darüber hinaus wird die Frage beantwortet, wie sich konkrete Rezeptüberarbeitungen der beliebtesten Mittagsgerichte auf den materiellen Fußabdruck sowie auf den Carbon Footprint auswirken.
Zusammenfassend lässt sich sagen, dass ein Online-Tool individuelle Nachhaltigkeitspfade für Akteure im und ermöglicht eine eigenständige Rezeptüberarbeitung für bereits bestehende Gerichte. Mahlzeiten. Die Ergebnisse zeigen, dass bereits geringfügige Änderungen in den Rezepten zu Einsparungen von bis zu einem Drittel führen können beim CO2-Fußabdruck sowie beim Materialfußabdruck führen können. Bezogen auf den Außer-Haus-Verzehr Außer-Haus-Verzehr ergibt sich daraus das Potenzial für erhebliche Multiplikationseffekte, die den Weg für die Verbreitung von nachhaltiger Ernährung ebnen.
Background/Aim
This study aimed to establish the somatosensory profile of patients with lumbar radiculopathy at pre-and post-microdiscectomy and to explore any association between pre-surgical quantitative sensory test (QST) parameters and post-surgical clinical outcomes.
Methods
A standardized QST protocol was performed in 53 patients (mean age 38 ± 11 years, 26 females) with unilateral L5/S1 radiculopathy in the main pain area (MPA), affected dermatome and contralateral mirror sites and in age- and gender-,and body site-matched healthy controls. Repeat measures at 3 months included QST, the Oswestry Disability Index (ODI) and numerous other clinical measures; at 12 months, only clinical measures were repeated. A change <30% on the ODI was defined as ‘no clinically meaningful improvement’.
Results
Patients showed a significant loss of function in their symptomatic leg both in the dermatome (thermal, mechanical, vibration detection p < .002), and MPA (thermal, mechanical, vibration detection, mechanical pain threshold, mechanical pain sensitivity p < .041) and increased cold sensitivity in the MPA (p < .001). Pre-surgical altered QST parameters improved significantly post-surgery in the dermatome (p < .018) in the symptomatic leg and in the MPA (p < .010), except for thermal detection thresholds and cold sensitivity. Clinical outcomes improved at 3 and 12 months (p < .001). Seven patients demonstrated <30% change on the ODI at 12 months. Baseline loss of function in mechanical detection in the MPA was associated with <30% change on the ODI at 12 months (OR 2.63, 95% CI 1.09–6.37, p = .032).
Conclusion
Microdiscectomy resulted in improvements in affected somatosensory parameters and clinical outcomes. Pre-surgical mechanical detection thresholds may be predictive of clinical outcome.
Significance
This study documented quantitative sensory testing (QST) profiles in patients with lumbar radiculopathy in their main pain area (MPA) and dermatome pre- and post-microdiscectomy and explored associations between QST parameters and clinical outcome. Lumbar radiculopathy was associated with loss of function in modalities mediated by large and small sensory fibres. Microdiscectomy resulted in significant improvements in loss of function and clinical outcomes in 85% of our cohort. Pre-surgical mechanical detection thresholds in the MPA may be predictive of clinical outcome.
This paper presents an optimized algorithm for estimating static and dynamic gait parameters. We use a marker- and contact-less motion capture system that identifies 20 joints of a person walking along a corridor.
Based on the proposed gait cycle detection basic metrics as walking frequency, step/stride length, and support phases are estimated automatically. Applying a rigid body model, we are capable to calculate static and dynamic gait stability metrics. We conclude with initial results of a clinical study evaluating orthopaedic technical support.
In this paper, we evaluate the application of Bayesian Optimization (BO) to discrete event simulation (DES) models. In a first step, we create a simple model, for which we know the optimal set of parameter values in advance. We implement the model in SimPy, a framework for DES written in Python. We then interpret the simulation model as a black box function subject to optimization. We show that it is possible to find the optimal set of parameter values using the open source library GPyOpt. To enhance our evaluation, we create a second and more complex model. To better handle the complexity of the model, and to add a visual component, we build the second model in Simio, a commercial off-the-shelf simulation modeling tool. To apply BO to a model in Simio, we use the Simio API to write an extension for optimization plug-ins. This extension encapsulates the logic of the BO algorithm, which we deployed as a web service in the cloud.
The fact that simulation models are black box functions with regard to their behavior and the influence of their input parameters makes them an apparent candidate for Bayesian Optimization (BO). Simulation models are multivariable and stochastic, and their behavior is to a large extent unpredictable. In particular, we do not know for sure which input parameters to adjust to maximize (or minimize) the model’s outcome. In addition, the complex models can take a substantial amount of time to run.
Bayesian Optimization is a sequential and self-learning algorithm to optimize black box functions similar to as we find them in simulation models: they contain a set of parameters for which we want to identify the optimal set, they are expensive to evaluate, and they exhibit stochastic noise. BO has proven to efficiently optimize black box functions from varius disciplines. Among those, and most notably, it is successfully applied in machine learning algorithms to optimize hyperparameters.