bluuebunny/crossref_metadata_2025_split huggingface dataset:
Psychological Outcomes and Effectiveness of a Collaborative Video-Based Learning Tool for Synchronous Discussions
Authors: Straßmann Carolin , Helgert André , Lingnau Andreas 
Published: April 2023

AbstractIn the context of digitization and the COVID-19 pandemic, online teaching comes more and more into focus of higher education. Various online learning methodologies such as using videos as a teaching method are promising, but can also create problems in the area of social relations or learning habits. The concept of collaborative learning, especially in an online environment, could counteract these problems. This paper presents a collaborative online learning tool that allows students to get together in learning groups to watch educational videos together. Various functions, such as a chat, help students to communicate with each other. A psychological evaluation was conducted to investigate the effects on students. The evaluation demonstrated positive effects of the tool, since it enhances important psychological processes (like flow and cognitive load) within the learning process. Moreover, its usability was rated as good and participants showed a high usage intention for the tool. Nevertheless, further investigations in long-term learning courses are needed to finally confirm the tool’s effectiveness.
Thinking Groups and the Development of Affective Problem-Solving Competencies in Online Learning Environments at the University Level
Authors: Miranda Annamaria 
Published: April 2023

AbstractWe present the first findings of an online problem-solving experience for undergraduate students attending a topology course within a Bachelor of Mathematics course. The aims were to promote the construction of problem-solving competencies by using cognitive roles within Thinking Groups (TG) with a magnifying lens on the affective level. We define the notion of Thinking Groups and the derived TG model and present an application. The key idea behind personifying cognitive functions with cognitive roles in a problem-solving process represents the starting point of ongoing research into the construction of the problem-solving competencies of undergraduate students and began with an analysis of some metacognitive aspects that students experienced by playing these roles. Each individual role corresponds to a cognitive function coming into play when a mathematician faces a problem. In turn, each collective role corresponds to a problem-solving thinking process performed by a Thinking Group. To shed the light on the emotional outcomes of students and on the impact of the use of online learning environments on the affective dimension, we focused our qualitative analysis on the emotional experience of students both with respect to structured problem-solving activities and digital tools, to understand if and how they fostered the conditions for developing emotional competencies according to Goldin’s idea of affective competencies.
Einleitung
Authors: Odermatt Anastas 
Published: April 2023

ZusammenfassungDie vorliegende Studie untersucht die Zusammenhänge zwischen Religion und Religiosität, freiwilligem Engagement und sozialem Vertrauen in der Schweiz und liefert einen Beitrag zur Klärung dieser wechselseitigen Beziehungen. Die Einleitung führt in die Fragestellungen ein und beschreibt das Vorgehen und den Aufbau der Studie.
Konzepte und Begriffe
Authors: Odermatt Anastas 
Published: April 2023

ZusammenfassungIn diesem ersten Theoriekapitel führe ich in die zentralen Konzepte Religion und Religiosität und Sozialkapital ein. Ziel ist, die verwendeten Begriffe und Konzepte zu definieren, damit sie in der Folge valide gemessen und analysiert werden können. Um das Konzept Sozialkapital von anderen Konzepten abzugrenzen, setze ich es in Bezug zu jenen der Zivilgesellschaft, des sozialen Zusammenhalts und des «Dark Social Capital», das heisst der dunklen Seite von Sozialkapital.
Methoden und Modelle
Authors: Odermatt Anastas 
Published: April 2023

ZusammenfassungDie Forschungsfragen werden mittels Analyse quantitativ erhobener Daten beantwortet. Analog zu den Schritten der Datenbearbeitung werde ich nach einem kurzen Hinweis auf den Unterschied zwischen Korrelation und Kausalität einige Anmerkungen zur uni- und bivariaten Datenanalyse machen und dann die logistische Regression inklusive Mehrebenenmodellierung vorstellen.
Religion und Religiosität in der Schweiz
Authors: Odermatt Anastas 
Published: April 2023

ZusammenfassungDieses Kapitel bereitet inhaltlich und statistisch auf die Folgekapitel 7 und 8 vor, in denen die Forschungsfragen bearbeitet werden. Ich gehe zuerst auf die kontextuellen Faktoren und im Rahmen eines kurzen religionshistorischen Abrisses auf ihre Entstehungsbedingungen ein. Anschliessend wende ich mich der Individualebene zu. Dabei werde ich neben der univariaten Darstellung und Charakterisierung der einschlägigen Variablen auch einen Blick auf die unkontrollierten, bivariaten Zusammenhänge mit Sozialkapital, das heisst mit freiwilligem Engagement und sozialem Vertrauen werfen. Dies bereitet die Ergebnisse der multivariaten Modelle vor.
Soziales Vertrauen und seine Voraussetzungen
Authors: Odermatt Anastas 
Published: April 2023

ZusammenfassungIn diesem dritten und letzten Ergebniskapitel beantworte ich die zwei weiteren Forschungsfragen, die das soziales Vertrauen betreffen: Welchen Einfluss haben Religion und Religiosität auf soziales Vertrauen in der Schweiz? Und welchen Einfluss hat freiwilliges Engagement auf soziales Vertrauen? Die entsprechenden Ergebnismodelle werden vorgestellt und diskutiert.
Ergebniszusammenfassung und Diskussion
Authors: Odermatt Anastas 
Published: April 2023

ZusammenfassungIn diesem letzten Diskussionskapitel fasse ich in einem ersten Teil die Ergebnisse zusammen. In einem zweiten Teil gehe ich auf die Limitierungen der Studie und der Ergebnisse ein. Im abschliessenden dritten Teil diskutiere ich die Ergebnisse mit Blick auf ihre wissenschaftliche und gesellschaftspolitische Relevanz. Dabei wage ich einen Ausblick in die Zukunft und mache aufmerksam auf neue, aber auch (noch) nicht beantwortete Fragen.
Perspectives of managers and workers on the implementation of automated-guided vehicles (AGVs)—a quantitative survey
Authors: Kopp Tobias , Baumgartner Marco , Seeger Mike , Kinkel Steffen 
Published: April 2023

AbstractAutomated-guided vehicles (AGVs) are considered as an advanced technology for improving intralogistics in manufacturing companies. However, diverging perspectives between management and operational staff on the implementation of AGVs in existing production environments can lead to a lack of employee acceptance and highlight the need for appropriate organizational change management initiatives. At present, there is a lack of knowledge about the success factors for deploying AGVs in manufacturing companies, including human factors such as worker acceptance. We therefore conducted a quantitative survey among production and logistics workers, project leaders, and managers (n = 89) in ten German companies that have already introduced AGVs in their production in order to investigate and compare their perspectives and to derive implications for successful AGV implementation projects. Our findings reveal that workers consider some of the most important acceptance factors as insignificantly addressed by the project management. In addition, we found significant differences in the perspectives of logistics and production workers on the implementation of AGVs, with logistics workers being less satisfied and significantly more concerned about job security. Furthermore, project leaders’ ability to accurately anticipate their employees’ perspective (perspective taking accuracy) positively influences employees’ satisfaction with the implementation of the AGV system. These findings have theoretical implications for research on organizational change and practical implications for AGV implementation projects.
Sexual function is impaired in women and men with pulmonary hypertension
Authors: Hendriks Paul M. , Staal Diederik P. , Pastoor Hester , Kolpa Corine I. A. , van den Bosch Annemien E. , Post Marco C. , Boomars Karin A. 
Published: April 2023

Abstract
Background
Sexual health related quality of life (SHRQoL) is an important pillar of health related quality of life (HRQoL). The aim of this study was to investigate sexual functioning in men and women with pulmonary hypertension (PH).

Methods and results
In this cross-sectional study, a total of 78 patients were included, 49 were diagnosed with pulmonary arterial hypertension and 29 with chronic thromboembolic pulmonary hypertension (median age 53 [IQR: 46–67 years], 66.7% female). All patients completed SHRQoL questionnaires; for women: ASEX, FSFI, and FSDS and for men: ASEX and IIEF. A PH-specific SHRQoL questionnaire was created based on 4 semi-structured interviews to investigate PH-specific barriers in sexuality. More than half of the patients experienced symptoms during sexual activity, mainly dyspnea (52.6%) and palpitations (32.1%). Sexual dysfunction was present, according to the FSFI-questionnaire, in 63.0% of women. All of the men experienced at least mild dysfunction in one of the domains of the IIEF and erectile dysfunction was present in 48.0%. Sexual dysfunction occurred more often in both men and women with PH than in the general population. PAH-specific medication was not associated with sexual dysfunction, nor was subcutaneous or intravenous pump therapy (OR 1.14, 95%-CI: 0.75–1.73). Diuretics were associated with sexual dysfunction in women (OR 4.01, 95%-CI: 1.04–15.41). Of all patients committed in a relationship, 69.0% would like to discuss sexuality with their healthcare provider.

Conclusion
This study showed a high prevalence of sexual dysfunction in men and women with PH. It is important for healthcare providers to discuss sexuality with patients.

Graphical abstract
Early detection of COPD patients’ symptoms with personal environmental sensors: a remote sensing framework using probabilistic latent component analysis with linear dynamic systems
Authors: Kolozali Şefki , Chatzidiakou Lia , Jones Roderic , Quint Jennifer K. , Kelly Frank , Barratt Benjamin 
Published: April 2023

AbstractIn this study, we present a cohort study involving 106 COPD patients using portable environmental sensor nodes with attached air pollution sensors and activity-related sensors, as well as daily symptom records and peak flow measurements to monitor patients’ activity and personal exposure to air pollution. This is the first study which attempts to predict COPD symptoms based on personal air pollution exposure. We developed a system that can detect COPD patients’ symptoms one day in advance of symptoms appearing. We proposed using the Probabilistic Latent Component Analysis (PLCA) model based on 3-dimensional and 4-dimensional spectral dictionary tensors for personalised and population monitoring, respectively. The model is combined with Linear Dynamic Systems (LDS) to track the patients’ symptoms. We compared the performance of PLCA and PLCA-LDS models against Random Forest models in the identification of COPD patients’ symptoms, since tree-based classifiers were used for remote monitoring of COPD patients in the literature. We found that there was a significant difference between the classifiers, symptoms and the personalised versus population factors. Our results show that the proposed PLCA-LDS-3D model outperformed the PLCA and the RF models between 4 and 20% on average. When we used only air pollutants as input, the PLCA-LDS-3D forecasting results in personalised and population models were 48.67 and 36.33% accuracy for worsening of lung capacity and 38.67 and 19% accuracy for exacerbation of COPD patients’ symptoms, respectively. We have shown that indicators of the quality of an individual’s environment, specifically air pollutants, are as good predictors of the worsening of respiratory symptoms in COPD patients as a direct measurement.
Crop yield prediction algorithm (CYPA) in precision agriculture based on IoT techniques and climate changes
Authors: Talaat Fatma M. 
Published: April 2023

AbstractAgriculture faces a significant challenge in predicting crop yields, a critical aspect of decision-making at international, regional, and local levels. Crop yield prediction utilizes soil, climatic, environmental, and crop traits extracted via decision support algorithms. This paper presents a novel approach, the Crop Yield Prediction Algorithm (CYPA), utilizing IoT techniques in precision agriculture. Crop yield simulations simplify the comprehension of cumulative impacts of field variables such as water and nutrient deficits, pests, and illnesses during the growing season. Big data databases accommodate multiple characteristics indefinitely in time and space and can aid in the analysis of meteorology, technology, soils, and plant species characterization. The proposed CYPA incorporates climate, weather, agricultural yield, and chemical data to facilitate the anticipation of annual crop yields by policymakers and farmers in their country. The study trains and verifies five models using optimal hyper-parameter settings for each machine learning technique. The DecisionTreeRegressor achieved a score of 0.9814, RandomForestRegressor scored 0.9903, and ExtraTreeRegressor scored 0.9933. Additionally, we introduce a new algorithm based on active learning, which can enhance CYPA's performance by reducing the number of labeled data needed for training. Incorporating active learning into CYPA can improve the efficiency and accuracy of crop yield prediction, thereby enhancing decision-making at international, regional, and local levels.
Physics-based parametrization of a FAS nonergodic ground motion model for Central Italy
Authors: Sgobba Sara , Lanzano Giovanni , Colavitti Leonardo , Morasca Paola , D’Amico Maria Clara , Spallarossa Daniele 
Published: April 2023

AbstractWe propose a new fully nonergodic ground motion model for Central Italy, which is one of the most sampled areas in the world after the occurrence of the last seismic sequences of 2009 and 2016–2017. The model predicts 69 ordinates of the Fourier Amplitude Spectrum in the magnitude range 3.2–6.5 and is constrained on a dense set of seismological and geophysical parameters (i.e. stress-drop$$\Delta \sigma$$Δσ, shear-wave velocity in the uppermost 30 m,VS,30and high-frequency attenuation parameter at source$${\kappa }_{source}$$κsourceand site$${\kappa }_{0}$$κ0) made available from a non-parametric generalized inversion technique (GIT). The aim of this work is to capture the underlying physics of ground motion related to different source energy levels, as well as to the crustal and geological structure of the region, thus providing less uncertain predictions. Calibration is performed using a stepwise regression approach which has the advantage of taking a more complex functional form (advancedmodel) when all physical parameters are known while returning a simpler form (basemodel) when physical data are missing. As a result, the advanced model reproduces the reference rock motion of the region in case the site additional proxies are set to their average values (VS,30 = 1100 m/s,$${\kappa }_{0}$$κ0=15 ms). We show that the inclusion of the set of physically-based explanatory variables in the regression has a beneficial effect in constraining the uncertainty, leading to a reduction of the high-frequency variability of about 70% on the between-event and 35% on the site-to-site. This reduction can be viewed as the result of the combination of a more effective physical description through the incorporation of the additional proxies and a calibration embedded in a completely nonergodic framework.
Technology education in primary schools: addressing teachers’ perceptions, perceived barriers, and needs
Authors: Pappa Christina Ioanna , Georgiou Despoina , Pittich Daniel 
Published: April 2023

AbstractIn primary schools, the benefits of incorporating technology in curricula have been addressed by several studies; however, technology integration as experienced by teachers is often overlooked. Teachers’ lack of confidence teaching STEM and technology subjects, their lack of appropriate preparation along with unclear curricula frameworks in technology education, and the ambiguity of the definition of technology education have scarcely been discussed in the literature. This study explored teachers’ experiences with the current integration of technology and identified challenges to the integration of technology and areas where support is needed. Semi-structured interviews were used to collect data and were analyzed using content analysis. Content knowledge, proper training, and professional development programs on the integration of technology along with the need for clear and unanimous curricula standards have been perceived as important factors in the integration of technology education. Participants also acknowledged the need for the establishment of teaching communities wherein they can learn from one another. Our study discusses implications for research and practice and provides a knowledge base for the establishment of well-structured professional development courses based on teacher needs.
Kyoto Fusioneering’s Mission to Accelerate Fusion Energy: Technologies, Challenges and Role in Industrialisation
Authors: Baus Colin , Barron Paul , D’Angiò Andrea , Hirata Yosuke , Konishi Satoshi , Mund Jasmine , Nagao Taka , Nakahara Daisuke , Pearson Richard , Sakaguchi Masatsugu , Sakamoto Keishi , Seko Kiyoshi , Takeda Shutaro , Wilson Andy , Yoshioka Yuto 
Published: April 2023

AbstractMaking fusion power viable both technologically and commercially has been a challenge for decades due to the great complexity of the science and engineering challenges. In recent years, changes in both government policies and the emergence of private fusion companies have ushered a newfound push to accelerate fusion energy development. Kyoto Fusioneering (KF) is a privately funded fusion engineering start-up, founded to accelerate the development of high performance, commercially viable technologies that will be required for a fusion power plant, specifically those associated with heating and current drive systems, power generation, and the tritium fuel cycle. The company is focused on supporting the rapid expansion of the budding fusion industry. This paper provides a high-level description of some of the technical and industrial challenges it is tackling in developing a commercial fusion reactor, in particular in relation to: plasma heating with gyrotrons, tritium handling and breeding, energy conversion, and fusion materials. It provides an overview of KF's activities in finding solutions to challenges in each of these areas, including via its new testing facility now under construction, UNITY (Unique Integrated Testing Facility). KF’s core capabilities and areas of R&D focus are discussed, with reference to how they benefit the development of a new fusion industry as a whole and bring the technology closer to industrialisation, including via UNITY and through collaboration with external partners. The importance of industrialisation and subsequently commercialisation is also discussed, through KF’s assessment of the newly emerging fusion ecosystem, and where KF as a company sits within it.
A Few Close Friends? Adolescent Friendships’ Effect on Internalizing Symptoms Is Serially Mediated by Desire for More Friends and Social Goal Orientation
Authors: Walsh Reubs J. , Lee Nikki C. , Lemmers-Jansen Imke L. J. , Hollarek Miriam , Sijtsma Hester , van Buuren Mariët , Krabbendam Lydia 
Published: April 2023

AbstractInterpersonal connection is a fundamental human motivation, and the extent to which it is fulfilled is a strong predictor of symptoms of internalizing disorders such as social anxiety and depression, perhaps especially during the “social reorienting” period of adolescence. However, little is known about the contribution to this effect of the individual’s social motivations, which are intensified during adolescence. Furthermore, social goal orientation – an individual’s priorities and intentions in social interactions – is an important predictor of vulnerability to internalizing symptoms. Adolescents spend most of their waking lives in classrooms, bounded social networks with a limited pool of candidates for befriending. This study investigated whether friendships within one’s class protects against internalizing symptoms in part by reducing the desire for more classmate friendships, which may tend to promote maladaptive social goals. Participants were 423 young adolescents (M age = 13.2, sd = 0.52 years; 49.4% girls). As predicted, adolescents’ number of reciprocated classroom friendships had a protective effect on internalizing symptoms which was serially mediated by desire for more such friendships, and social goal orientation. However, only demonstration-avoidance goals significantly predicted internalizing symptoms. Unreciprocated friendship nominations were unexpectedly associated with stronger desire and more social anxiety symptoms. The results suggest that the effect of number of friends is mediated by the individual’s thoughts and feelings about their number of friendships, such that a strong desire for more friendships promotes maladaptive goals, oriented toward social status and consequently less oriented toward the cultivation of interpersonal intimacy with the friends they already have.
Reconsidering Newtonian Temporality in the Context of Time Pressures of Higher Education
Authors: Impola Jarkko Tapani 
Published: April 2023

AbstractThis article concerns the problem of time pressures in higher education from the perspective of Newtonian (clock)time and pedagogical action. While most recent critiques of contemporary time pressures turn to alternative time theories in place of Newtonian temporality, the current paper outlines a way to conceive education from a Newtonian time perspective while also retaining theorizations of education as a form of cyclical and uncertain interaction. Time is theorized as changes in the immediate present which transform an uncertain and potential future to an evident and permanent past in a Newtonian-linear temporal framework. Education, on the other hand, is defined as pedagogical influence to foster student’s human growth, demonstrated in a teaching–studying–learning relationship. Slow education theories and strategies are proposed as a way to reclaim time for education from the accelerative time policies of HE from within a linear time perspective instead of having to propose alternative time theories to ‘free’ education from its rootedness in the temporality of past, present, and future.
Hierarchical dynamic workload scheduling on heterogeneous clusters for grid search of inverse problems
Authors: Kyriakopoulos Christos , Gallopoulos Efstratios , Venetis Ioannis E. 
Published: April 2023

AbstractInverse problems occur in many scientific fields. Albeit grid search, where points of a regular grid are tested as possible solutions, is a straightforward and robust method to numerically solve inverse problems, it is computationally intensive and becomes prohibitive when the problem has a high dimensionality. Heterogeneous clusters are a viable and cost-effective solution to exploit the combined computational power of multiple available computers. In this paper, we present a computing framework that supports efficient grid search for inverse problems on heterogeneous clusters. Scheduling the workload on such systems might be challenging, especially when nodes are comprised of CPUs and GPUs with different computational speeds. The framework dynamically schedules computations on the processing elements of the cluster according to a selected performance index, which is determined at run-time. The framework is extensible, as it allows easy integration of additional inverse problems.