bluuebunny/crossref_metadata_2025_split huggingface dataset:
Future prediction of biogas potential and CH4 emission with boosting algorithms: the case of cattle, small ruminant, and poultry manure from Turkey
Authors: Pence Ihsan , Kumaş Kazım , Cesmeli Melike Siseci , Akyüz Ali 
Published: March 2024

AbstractAnimal waste can be converted into a renewable energy source using biogas technology. This process has an impact on greenhouse gas emissions and is a sustainable source of energy for countries. It can reduce the effects of climate change and protect the planet for future generations. Tier1 and tier2 approaches are commonly used in the literature to calculate emissions factors. With boosting algorithms, this study estimated each animal category’s biogas potential and CH4 emissions (tier1 and tier2 approach) for 2004–2021 in all of Turkey’s provinces. Two different scenarios were created in the study. For scenario-1, the years 2020–2021 were predicted using data from 2004 to 2019, while for scenario-2, the years 2022–2024 were predicted using data from 2004 to 2021. According to the scenario-1 analysis, the eXtreme Gradient Boosting Regressor (XGBR) algorithm was the most successful algorithm with an R2 of 0.9883 for animal-based biogas prediction and 0.9835 and 0.9773 for animal-based CH4 emission predictions (tier1 and tier2 approaches) for the years 2020–2021. When the mean absolute percentage error was evaluated, it was found to be relatively low at 0.46%, 1.07%, and 2.78%, respectively. According to the scenario-2 analysis, the XGBR algorithm predicted the log10 values of the animal-based biogas potential of five major cities in Turkey for the year 2024, with 11.279 for Istanbul, 12.055 for Ankara, 12.309 for Izmir, 11.869 for Bursa, and 12.866 for Antalya. In the estimation of log10 values of CH4 emission, the tier1 approach yielded estimates of 3.080, 3.652, 3.929, 3.411, and 3.321, respectively, while the tier2 approach yielded estimates of 1.810, 2.806, 2.757, 2.552 and 2.122, respectively.
Graphical Abstract
“Reciprocal Illumination” of Hinduism, Human Rights, and the Comparative Study of Religion: Arvind Sharma’s Contributions
Authors: Martin Nancy M. 
Published: March 2024

AbstractArvind Sharma has made immensely significant contributions in the fields of both comparative religion and the study of Hinduism through his methodology of “reciprocal illumination” and his prominent role in international conversations on women and religion, religion and human rights, freedom of religion, and religious tolerance and conflict. Aware of the power of religion and its negative valuation, especially post-September 11, he displays a deep commitment to fostering interreligious understanding, arguing for religion as an essential and positive partner in envisioning and actualizing human flourishing, upholding human dignity, and engaging in global ethical cooperation, and equally he demonstrates Hinduism’s potential contribution both to these endeavors and to moving the field of comparative studies beyond its Western, Christian, and colonialist origins and assumptions. This essay details these contributions and Sharma’s place as an interpreter of Hinduism for those inside and outside the tradition in our time.
Digitalisierungsbezogene Lehrkräftefortbildungen – Analysen zu Zusammenhängen mit Lehrpersonen- und Schulmerkmalen sowie zum wahrgenommenen Fortbildungserfolg durch Lehrkräfte in Deutschland
Authors: Gerick Julia , Annemann Christiane , Niemann Theresa , Drossel Kerstin 
Published: March 2024

ZusammenfassungMit voranschreitender digitaler Transformation und den damit verbundenen Herausforderungen für Schule und Unterricht steigt die Bedeutsamkeit digitalisierungsbezogener Fortbildungen für Lehrkräfte. Im Fokus dieses Beitrags steht die Frage, wie mögliche Voraussetzungen für eine Teilnahme an digitalisierungsbezogenen Lehrkräftefortbildungen mit der tatsächlichen Teilnahme zusammenhängen und welche Zusammenhänge sich mit wahrgenommenen Erfolgen dieser Fortbildungen durch die Lehrkräfte zeigen. Dieser Fragestellung wird auf Grundlage der in Deutschland repräsentativen Lehrkräfte- und Schuldaten aus der International Computer and Information Literacy Study (ICILS 2018) nachgegangen. Den theoretischen Bezugsrahmen bietet das Angebots-Nutzungs-Modell zu Einflussfaktoren im Kontext von Lehrkräftefortbildungen von Lipowsky und Rzejak (2021). Die Befunde zeigen, dass insbesondere der Schulkontext (z. B. digitalisierungsbezogene Prioritäten der Schulleitung, Lehrkräftekooperation, IT-Ausstattung der Schule), jedoch nicht die Voraussetzungen der Lehrkräfte (Berufserfahrung mit digitalen Medien und digitalisierungsbezogene Bestandteile der Ausbildung) damit zusammenhängen, ob und wie häufig Lehrkräfte an digitalisierungsbezogenen Fortbildungen teilnehmen. Zusammenhänge mit dem wahrgenommenen Erfolg der Fortbildungen, welcher über die Einschätzungen der Lehrkräfte erfasst wurde, zeigen sich sowohl auf Ebene der Lehrkräfte selbst hinsichtlich ihrer digitalisierungsbezogenen Einstellungen und eingeschätzten Kompetenzen, als auch auf Ebene des Unterrichts bezüglich der Nutzung digitaler Medien und der nachdrücklichen Förderung ‚digitaler‘ Kompetenzen bei den Schülerinnen und Schülern.
Cognitive ergonomics and robotic surgery
Authors: Wong Shing Wai , Crowe Philip 
Published: March 2024

AbstractCognitive ergonomics refer to mental resources and is associated with memory, sensory motor response, and perception. Cognitive workload (CWL) involves use of working memory (mental strain and effort) to complete a task. The three types of cognitive loads have been divided into intrinsic (dependent on complexity and expertise), extraneous (the presentation of tasks) and germane (the learning process) components. The effect of robotic surgery on CWL is complex because the postural, visualisation, and manipulation ergonomic benefits for the surgeon may be offset by the disadvantages associated with team separation and reduced situation awareness. Physical fatigue and workflow disruptions have a negative impact on CWL. Intraoperative CWL can be measured subjectively post hoc with the use of self-reported instruments or objectively with real-time physiological response metrics. Cognitive training can play a crucial role in the process of skill acquisition during the three stages of motor learning: from cognitive to integrative and then to autonomous. Mentorship, technical practice and watching videos are the most common traditional cognitive training methods in surgery. Cognitive training can also occur with computer-based cognitive simulation, mental rehearsal, and cognitive task analysis. Assessment of cognitive skills may offer a more effective way to differentiate robotic expertise level than automated performance (tool-based) metrics.
Understanding transaction costs of energy efficiency renovations in the Swedish residential sector
Authors: Lundmark Robert 
Published: March 2024

AbstractThe residential sector has a large potential to reduce its energy use. Improving the energy performance of buildings is one way to realise this potential. For single-family buildings, improving the energy efficiency by energy renovations can produce a net financial gain. However, there are unaccounted barriers that act as impediments for house-owners to undertake energy efficiency measures. This study postulates that transaction costs are such a barrier. Transaction costs are defined as the cost of making an economic exchange on a market in addition to the market price. The purpose is to empirically estimate the magnitude of the transactions costs and its determinants for energy efficiency measures in the residential sector. Specifically, the transaction costs for heat insulation and energy-saving windows in Swedish single-family buildings are assessed. The analysis is based on a unique dataset, constructed from a web-based survey. The results indicate that transaction costs for energy efficiency measures are considerable. The average transaction cost to make additional heat insulation is SEK 18,046 (EUR 1,510) and SEK 21,106 (EUR 1,766) to install energy-saving windows. The determinants of the transaction costs are cognitive limitations, social connectedness, asset specificity and previous experiences. Therefore, to reduce the transaction costs, the complexity of energy efficiency measures must be addressed, potential opportunistic behaviour must be reduced, and financial options expanded.
Four new deciduous species of Hyperacanthus (Rubiaceae: Gardenieae) from western Madagascar: the sofikomba alliance
Authors: Rakotonasolo F. , Davis A. P. 
Published: March 2024

SummaryThe genusHyperacanthuscomprises 11 species, nine in Madagascar and two in Africa, although many Madagascan species remain undescribed. All Madagascan species ofHyperacanthusare evergreen trees occurring in humid and semi-humid forest. Four deciduous species occur in the dry forests of northern, western, and southern Madagascar but are unknown to science. These four species, collectively and informally referred to as the sofikomba alliance, are described here:H. decaryi,H. piliformis,H. septentrionaleandH. sofikomba. Three of the four species are illustrated and all four are mapped. A key to species, species descriptions, other key taxonomic information, and preliminary conservation assessments are also provided.
Development of an action classification method for construction sites combining pose assessment and object proximity evaluation
Authors: Kikuta Toshiya , Chun Pang-jo 
Published: March 2024

AbstractAddressing the inherent hazards of on-site construction work and stagnant labor productivity is crucial in the construction industry. To tackle these challenges, automated monitoring of construction sites and analysis of workers' actions play a pivotal role. In this study, we developed a method for classifying actions at a construction site from video, using deep learning. Specifically, we used two image processing techniques, pose assessment and object detection, and found that the accuracy of action classification was improved by extracting information on the proximity of workers to equipment installed at the construction site, and also by considering the pose information. For classification, LSTM (Long Short-Term Memory), CNN (Convolutional Neural Network), and XGBoost models were used, and the presence of proximity information improved average recall by 7.0% to 8.5% for all models used. The final model was developed as an ensemble of these methods, offering accuracy and average recall that are higher than with conventional methods. The methodology developed in this research enables quantification and visualization of work content at construction sites, contributing to the overall enhancement of safety and productivity within the construction industry.
Predicting Hurricane Evacuation Decisions with Interpretable Machine Learning Methods
Authors: Sun Yuran , Huang Shih-Kai , Zhao Xilei 
Published: March 2024

AbstractFacing the escalating effects of climate change, it is critical to improve the prediction and understanding of the hurricane evacuation decisions made by households in order to enhance emergency management. Current studies in this area often have relied on psychology-driven linear models, which frequently exhibited limitations in practice. The present study proposed a novel interpretable machine learning approach to predict household-level evacuation decisions by leveraging easily accessible demographic and resource-related predictors, compared to existing models that mainly rely on psychological factors. An enhanced logistic regression model (that is, an interpretable machine learning approach) was developed for accurate predictions by automatically accounting for nonlinearities and interactions (that is, univariate and bivariate threshold effects). Specifically, nonlinearity and interaction detection were enabled by low-depth decision trees, which offer transparent model structure and robustness. A survey dataset collected in the aftermath of Hurricanes Katrina and Rita, two of the most intense tropical storms of the last two decades, was employed to test the new methodology. The findings show that, when predicting the households’ evacuation decisions, the enhanced logistic regression model outperformed previous linear models in terms of both model fit and predictive capability. This outcome suggests that our proposed methodology could provide a new tool and framework for emergency management authorities to improve the prediction of evacuation traffic demands in a timely and accurate manner.
Teachers’ Burnout – The Role of Social Support, Gratitude, Hope, Entitlement and Loneliness
Authors: Einav Michal , Confino Dan , Geva Noa , Margalit Malka 
Published: March 2024

AbstractPsychological burnout is strongly associated with negative effects on people’s life, including their emotional well-being and physical health. Due to prolonged periods of stress, heavy workloads, limited resources and time constraints, teachers are prone to burnout, leading to aversive, prolonged consequences. While previous studies have investigated various factors associated with their burnout, we explored the association between teachers’ relational and personal variables, applying a cross-sectional method. The sample consisted of 248 Israeli teachers (85.1% worked in educational settings for typically developing children, 52.4% were employed in high schools), who completed the following questionnaires: Teachers’ burnout, Perceived social support, Gratitude, Hope, Active entitlement and Loneliness. Results demonstrated negative links between burnout and social support, gratitude and hope as well as a positive link with loneliness. A serial multiple mediation revealed that, whereas social support and hope were associated with lower levels of burnout, feelings of loneliness and a sense of entitlement were related to higher levels of it. Furthermore, gratitude, hope, a sense of entitlement, and loneliness linked social support with burnout. We concluded with a discussion of the implications for future research, theory, and interventions.
Modified hemp fibers as a novel and green adsorbent for organic dye adsorption: adsorption, kinetic studies and modeling
Authors: Viscusi Gianluca , Napolitano Francesco , Gorrasi Giuliana 
Published: March 2024

AbstractSynthetic dyes represent a serious hazard to aquatic environments. Many approaches for eliminating these contaminants have been devised and applied. This manuscript reports the production of a novel, low-cost and ecologically friendly bioadsorbent based on hemp fibers that are functionalized with graphite oxide through bridging with an organosilane. Methylene blue was selected as a typical pollutant to be removed from wastewaters. The adsorbent was characterized through scanning electron microscopy (SEM), energy-dispersive X-ray spectroscopy (EDX) and Fourier-transform infrared (FTIR) analysis. An investigation of the effects of pH and temperature on the adsorption process was carried out. The adsorption capacity increased with increasing contact time as well as with the temperature, proving that the process shows endothermic behavior. Moreover, the process was found to be dependent on the pH level and, to corroborate the collected results, the point of zero charge was evaluated. The maximum adsorption capacity was found to be 57 mg/g, which was achieved with the following parameters: pH = 7.5, T = 80 °C and an initial dye concentration equal to 5 mg/L. Reusability studies showed a 15% decrease in adsorption capacity after 30 adsorption tests, proving the possibility of reusing the produced adsorbent without any great decay in performance. Finally, a potential adsorption mechanism is reported and discussed. The reported results prove that it is feasible to apply the designed adsorbent of organic dyes to the purification of wastewaters.
Graphical abstract
Wer wird nominiert, wer gewinnt?
Authors: Schilling Erik , Harsch Corinna , Hipp Lena , Knobloch Marcel , Munnes Stefan , Vogel Johannes S. 
Published: March 2024

ZusammenfassungWir nehmen eine vergleichende Untersuchung der Nominierten und Preisträger:innen von sieben Buchpreisen im deutschsprachigen Raum vor, die mit einer vorab veröffentlichten Long- und/oder Shortlist arbeiten. Dazu vergleichen wir die Preise in Bezug auf soziodemographische Faktoren der Autor:innen (Geschlecht, Alter und Muttersprache), deren Bekanntheit zum Zeitpunkt der Nominierung (Aufrufe auf Wikipedia), die Anzahl vorheriger Nominierungen der Autor:innen für den gleichen Buchpreis, die ›Qualität‹ der ausgezeichneten Bücher (Anzahl der Rezensionen des nominierten Buches, positive bzw. negative Beurteilung in Rezensionen sowie die Einigkeit der Rezensent:innen darüber), das Ansehen der Verlage und die Geschlechterzusammensetzung der Jurys. Der Analysezeitraum umfasst 15 Jahre. Unser Datensatz beinhaltet Informationen zu 428 Autor:innen mit insgesamt 627 zwischen den Jahren 2005 und 2020 nominierten Büchern und 2.469 Rezensionen zu diesen Büchern. Der Datensatz wurde mittels mehrerer Methoden (z. B. Web-Scraping, Hand-Kodierung, Expert:innenbewertungen) aus verschiedenen Quellen (z. B. Web-Daten, Bibliothekskataloge, Expert:innenbewertungen) zusammengestellt. Auf diese Weise können wir unter anderem zeigen, dass für alle untersuchten Preise überwiegend deutsche Muttersprachler:innen mit gut rezensierten Büchern aus renommierten Verlagen nominiert werden und die Preise gewinnen.
Spirits and Bodies as an Interdependent Network of Relations and Approach to the Study of Religion in Brazil
Authors: van der Hoek Stefan 
Published: March 2024

AbstractIn the ever-evolving religious landscape of Brazil, researchers who study contemporary phenomena of religions face a complex and often contradictory reality. The practical application of theoretical categories and concepts in this domain is an endeavor that continues to challenge researchers. Brazil’s religious landscape is characterized by an impressive diversity of beliefs, practices, and convictions that often merge and overlap across different boundaries. This complex reality poses a serious challenge to religious studies, which strives to classify, analyze, and compare phenomena in historical and contemporary dimensions. The problems begin with the basic categories, which are often blurred in their applicability and meaning. Therefore, the focus of this article is to argue that the rapid change and impermanence of categories used in religious studies are due to the deep-rooted contradictions in Brazilian religious reality, which (e)merge, transform, and respond to social, cultural, and political changes in a constant state of flux. These changes cause defined categories that may have made sense at certain times. This article argues, however, that a phenomenological perspective is needed to conceptualize the centrality of spiritual entities to comparative religion. The omnipresence of spirits pervades the entire religious field of Pentecostalism, traditional Christianity, indigenous religions and Shamanism, as well as African-derived religions, which will be exemplified in terms of their references and striking parallels when it comes to the concept of spirits while manifested in human bodies and practices.
Economic analysis of China’s grain for green policy: theory and evidence
Authors: Jin Chenghua , Yabuta Masahiro 
Published: March 2024

AbstractFirst phase of the grain for green (GFG) policy, one of the China’s forest policies, was implemented in the late 1990s and ended in 2012. The first phase of the GFG policy was successful from a macro perspective, although there were some failures. Based on these outcomes, the second phase of the GFG policy was implemented from 2014 to 2020. This study used panel data to develop an empirical land use model and conduct a comparative static analysis focusing on the GFG policy. Results of the static analysis confirmed factors that affect GFG for the years 2002–2018. In addition, differences in the explanatory variables between the first (2002–2012) and second periods (2014–2018) were determined. Furthermore, differences in GFG subsidies between the northern and southern provinces in the first phase were analyzed for their effects on a reforestation area. The main results revealed that the amount of investment in GFG and rural livelihood security had a positive effect on the expansion of the area of GFG. In addition, the amount of investment in GFG was more effective during the second period than the first period.
Biofabrication of nanocomposite-based scaffolds containing human bone extracellular matrix for the differentiation of skeletal stem and progenitor cells
Authors: Kim Yang-Hee , Kanczler Janos M. , Lanham Stuart , Rawlings Andrew , Roldo Marta , Tozzi Gianluca , Dawson Jonathan I. , Cidonio Gianluca , Oreffo Richard O. C. 
Published: March 2024

AbstractAutograft or metal implants are routinely used in skeletal repair. However, they fail to provide long-term clinical resolution, necessitating a functional biomimetic tissue engineering alternative. The use of native human bone tissue for synthesizing a biomimetic material ink for three-dimensional (3D) bioprinting of skeletal tissue is an attractive strategy for tissue regeneration. Thus, human bone extracellular matrix (bone-ECM) offers an exciting potential for the development of an appropriate microenvironment for human bone marrow stromal cells (HBMSCs) to proliferate and differentiate along the osteogenic lineage. In this study, we engineered a novel material ink (LAB) by blending human bone-ECM (B) with nanoclay (L, Laponite®) and alginate (A) polymers using extrusion-based deposition. The inclusion of the nanofiller and polymeric material increased the rheology, printability, and drug retention properties and, critically, the preservation of HBMSCs viability upon printing. The composite of human bone-ECM-based 3D constructs containing vascular endothelial growth factor (VEGF) enhanced vascularization after implantation in an ex vivo chick chorioallantoic membrane (CAM) model. The inclusion of bone morphogenetic protein-2 (BMP-2) with the HBMSCs further enhanced vascularization and mineralization after only seven days. This study demonstrates the synergistic combination of nanoclay with biomimetic materials (alginate and bone-ECM) to support the formation of osteogenic tissue both in vitro and ex vivo and offers a promising novel 3D bioprinting approach to personalized skeletal tissue repair.
Graphic abstract