open_access
Refine
Year
- 2023 (30) (remove)
Publication Type
- Article (30) (remove)
Keywords
- renewable energy (3)
- Algorithmus (1)
- Beratung (1)
- ChatGPT (1)
- Heimerziehung (1)
- Islamic extremism (1)
- Kinder- und Jugendhilfe (1)
- Kinderrechte (1)
- MDR (1)
- Menschenrechtsprofession (1)
Faculty
- Energie · Gebäude · Umwelt (EGU) (7)
- Gesundheit (MDH) (7)
- Oecotrophologie · Facility Management (OEF) (4)
- Wirtschaft (MSB) (4)
- Physikingenieurwesen (PHY) (2)
- Sozialwesen (SW) (2)
- Bauingenieurwesen (BAU) (1)
- Chemieingenieurwesen (CIW) (1)
- Wandelwerk. Zentrum für Qualitätsentwicklung (1)
- keine Zuordnung (1)
Background: Establishing a healthy lifestyle has a great potential to reduce the prevalence of non-communicable diseases (NCDs) and their risk factors. NCDs contribute immensely to the economic costs of the health care system arising from therapy, medication use, and productivity loss.
Aim: The aim of this study was to evaluate the effect of the Healthy Lifestyle Community Program (cohort 2; HLCP-2) on medication use and consequently on medication costs for selected NCDs (diabetes, hypertension, and dyslipidemia).
Methods: Data stem from a 24-month non-randomised, controlled intervention trial aiming to improve risk factors for NCDs. Participants completed questionnaires at six measurement time points assessing medication use, from which costs were calculated. The following medication groups were included in the analysis as NCD medication: glucose-lowering medications (GLM), antihypertensive drugs (AHD) and lipid-lowering drugs (LLD). Statistical tests for inter- and intra-group comparison and multiple regression analysis were performed.
Results: In total, 118 participants (intervention group [IG]: n = 79; control group [CG]: n = 39) were considered. Compared to baseline medication use decreased slightly in the IG and increased in the CG. Costs for NCD medication were significantly lower in the IG than in the CG after 6 (p = 0.004), 12 (p = 0.040), 18 (p = 0.003) and 24 months (p = 0.008). After multiple regression analysis and adjusting for confounders, change of costs differed significantly between the groups in all final models.
Conclusion: The HLCP-2 was able to moderately prevent an increase of medication use and thus reduce costs for medication to treat NCDs with the greatest impact on AHD.
Local and regional energy systems are becoming increasingly entangled. Therefore, models for optimizing these energy systems are becoming more and more complex and the required computing resources (run-time and random access memory usage) are increasing rapidly. The computational requirements can basically be reduced solver-based (mathematical optimization of the solving process) or model-based (simplification of the real-world problem in the model). This paper deals with identifying how the required computational requirements for solving optimization models of multi-energy systems with high spatial resolution change with increasing model complexity and which model-based approaches enable to reduce the requirements with the lowest possible model deviations. A total of 12 temporal model reductions (reduction of the number of modeled time steps), nine techno-spatial model reductions (reduction of possible solutions), and five combined reduction schemes were theoretically analyzed and practically applied to a test case. The improvement in reducing the usage of computational resources and the impact on the quality of the results were quantified by comparing the results with a non-simplified reference case. The results show, that the run-time to solve a model increases quadratically and memory usage increases linearly with increasing model complexity. The application of various model adaption methods have enabled a reduction of the run-time by over 99% and the memory usage by up to 88%. At the same time, however, some of the methods led to significant deviations of the model results. Other methods require a profound prior knowledge and understanding of the investigated energy systems to be applied. In order to reduce the run-time and memory requirements for investment optimization, while maintaining good quality results, we recommend the application of (1) a pre-model that is used to (1a) perform technological pre-selection and (1b) define reasonable technological boundaries, (2) spatial sub-modeling along network nodes, and 3) temporal simplification by only modeling every nth day (temporal slicing), where at least 20% of the original time steps are modeled. Further simplifications such as spatial clustering or larger temporal simplification can further reduce the computational effort, but also result in significant model deviations.
Fürther Gespräche: Expertenforum für den Rettungsdienst mit Forderungen an Politik und Gesellschaft
(2023)
Die rettungsdienstliche Versorgung, die Rettungsfachkräfteausbildung und die rechtlichen Vorraussetzungen in Deutschland bieten aktuell keine guten Rahmenbedingungen für die Zukunft. Ein Expertenforum mit deutschlandweiten Akteuren aus Wissenschaft, Bildung und Rettungsdienst diskutierten im Rahmen der Fürther Gespräche die Herausforderungen der Professionalisierung und der Kompetenzentwicklung des Rettungsdienstes und der präklinischen Versorgung in Deutschland. Die zentralen Ergebnisse und Schwerpunktthemen wurden in 7 Thesen zusammengefasst und konkrete Lösungsansätze entwickelt. Das Spannungsfeld umfasst hierbei die Anforderungen und Versorgungsbedarfe, die Prävention und erweiterte Versorgungskomponenten, die Digitalisierungsstrategie, integrierte Leitstellen und vernetzte Gesundheitsdienstleistungen, Personalentwicklung und -bindung sowie Qualifikationsniveaus und Notarztqualifikation.
Die Bedeutung des Einsatzes von Verfahren, die unter dem Begriff der Künstlichen Intelligenz (KI) zusammenzufassen sind, wird sowohl für gesellschaftliche Prozesse als auch den Auftrag an die Soziale Arbeit zunehmend erkannt und diskutiert. Mit diesem Artikel wird ein Beitrag zum Diskurs geleistet, indem vertieft der Bereich der Sprachverarbeitung durch KI, das Natural Language Processing (NLP), in den Blick genommen wird. Verarbeitung natürlicher Sprache ist aufgrund der hohen Bedeutung kommunikativer Prozesse für die Praxis der Sozialen Arbeit von besonderer Relevanz, zugleich wird die Profession der Sozialen Arbeit tangiert. Bezugnehmend auf Staub-Bernasconis Handlungstheorie werden Implikationen und Diskussionspunkte von NLP identifiziert und diskutiert. Zudem werden mögliche Gratifikationen für Klient*innen herausgearbeitet, die sich u. a. aus der Wirkung und sozialen Interaktion ergeben. Hier wird die Media-Equation-Theorie von Nass und Reeves als Erkenntnisfolie herangezogen. Vor diesen Perspektiven ergeben sich sowohl Risiken (u. a. die Gefahr einer modularisierten Herauslösung genuin sozialarbeiterischer Tätigkeit) als auch Chancen (u. a. Teilhabe, niederschwelliger Zugang, Zugriff auf breitere Datenbasis).
This study explores the intriguing relationship between personality traits, self-rated fitness (SRF), and physical activity (PA) variables among German university students (N = 4244) and sheds light on the impact of personality on adherence to PA guidelines. Employing an online cross-sectional study, the short-form of the Big Five Inventory-2 assessed five domains of personality traits (Extraversion, Negative Emotionality, Agreeableness, conscientiousness, and Open-Mindedness). PA, including sitting time, was assessed using the International Physical Activity Questionnaire (short-form). SRF and muscle-strengthening activities (MSA) were assessed with one item each. Multiple linear and logistic regression analyses examined associations of individual personality trait domains and all domains combined with SFR, PA variables, and adherence to PA guidelines, controlling for sociodemographic, behavioral, and (mental) health covariates. Most reliably, Extraversion and Conscientiousness revealed positive associations with PA variables, while Negative Emotionality yielded inverse relationships with PA variables. For instance, each unit increase in Extraversion corresponded to an additional 17 min of weekly MSA. On the contrary, daily sitting time was unrelated to personality. Of note, high Open-Mindedness was associated with lower odds for adhering to current PA guidelines. The findings have implications for developing targeted interventions that promote a physically active lifestyle and support students’ well-being and academic success.
Purpose: This study investigated the effectiveness of the stuttering modification intervention Kinder Dürfen Stottern (KIDS) in school-age children who stutter.
Method: Seventy-three children who stutter were included in this multicenter, two-group parallel, randomized, wait-list controlled trial with a follow-up of 12 months. Children aged 7–11 years were recruited from 34 centers for speech therapy and randomized to either the immediate-treatment group or the 3 months delayed-treatment group. KIDS was provided by 26 clinicians who followed a treatment manual. Although the primary outcome measure was the impact of stuttering (Overall Assessment of the Speaker’s Experience of Stuttering–School-Age [OASES-S]), the secondary outcomes included objective and subjective data on stuttering severity.
Results: At 3 months postrandomization, the mean score changes of the OASESS differed significantly between the experimental (n = 33) and control group (n = 29; p = .026). Furthermore, treatment outcomes up to 12 months were analyzed (n = 59), indicating large effects of time on the OASES-S score (p < .001, partial η2 = .324). This was paralleled by significant improvements in parental ratings and objective ratings (stuttering severity, frequency, and physical concomitants).
Conclusions: The significant short-term treatment effects in the OASES-S are in line with the (initial) focus of KIDS on cognitive and affective aspects of stuttering.
Over 12 months, these changes were maintained and accompanied by
behavioral improvements. The results suggest that individual treatment with KIDS is an adequate treatment option for this age group.
This study investigated the ability of electrically conductive carbon rovings to detect cracks in textile-reinforced concrete (TRC) structures. The key innovation lies in the integration of carbon rovings into the reinforcing textile, which not only contributes to the mechanical properties of the concrete structure but also eliminates the need for an additional sensory system, such as strain gauges, to monitor the structural health. Carbon rovings are integrated into a grid-like textile reinforcement that differs in binding type and dispersion concentration of the styrene butadiene rubber (SBR) coating. Ninety final samples were subjected to a four-point bending test in which the electrical changes of the carbon rovings were measured simultaneously to capture the strain. The mechanical results show that the SBR50-coated TRC samples with circular and elliptical cross-sectional shape achieved, with 1.55 kN, the highest bending tensile strength, which is also captured with a value of 0.65 Ω by the electrical impedance monitoring. The elongation and fracture of the rovings have a significant effect on the impedance mainly due to electrical resistance change. A correlation was found between the impedance change, binding type and coating. This suggests that the elongation and fracture mechanisms are affected by the number of outer and inner filaments, as well as the coating.
The Spreadsheet Energy System Model Generator (SESMG) is a tool for modeling and optimizing energy systems with a focus on urban systems. The SESMG is easily accessible as it comes with a browser-based graphical user interface, spreadsheets to provide data entry, and detailed documentation on how to use it. Programming skills are not required for the installation or application of the tool. The SESMG includes advanced modeling features such as the application of the multi-energy system (MES) approach, multi-objective optimization, model-based methods for reducing computational requirements, and automated conceptualization and result processing of urban energy systems with high spatial resolution. Due to its accessibility and the applied modeling methods, urban energy systems can be modeled and optimized with comparatively low effort.