bluuebunny/crossref_metadata_2025_split huggingface dataset:
Leistungssportforschung in Deutschland
Authors: Thieme Lutz , Gassmann Freya 
Published: May 2024

ZusammenfassungDer Beitrag hat das Ziel, das Entscheidungsverhalten von Wissenschaftler*innen im Bereich der drittmittelgeförderten Spitzensportforschung theoretisch zu modellieren und eine erste empirische Testung vorzunehmen. Unter Berücksichtigung der spezifischen Förderungsstrukturen wird die Beziehungen zwischen Forschenden, Universitäten und Forschungsförderungsorganisationen, insbesondere dem BISp, untersucht. Die Arbeit integriert die Prinzipal-Agent-Theorie und die Strukturationstheorie, um die besonderen Entscheidungskonstellationen in der Leistungssportforschung zu erklären. Forschende als Agenten handeln auf der Basis ihrer Präferenzen, die durch Anreizsetzungen kanalisiert werden können. Universitäten, als Prinzipale streben nach Forschungsleistungen, während das BISp Forschung durch Anreize fördert, um u. a. Erkenntnisse an Spitzenverbände weiterzugeben. Informationsasymmetrien führen dann zu Prinzipal-Agent-Problemen. Aus dem umfassenden theoretischen Modell werden Hypothesen abgeleitet und mittels empirischer Daten aus dem BISp-geförderten Projekt „Sportwissenschaft an Universitäten – Strukturbedingungen und Perspektiven“ geprüft. Die Rolle des BISp als Marktführer in der Vergabe von Forschungsprojekten im Leistungssport wurde bestätigt. Die Reputation der Antragstellenden ist aus Sicht der Forschenden von zentraler Bedeutung bei der Beantragung von Drittmitteln im Leistungssport, absolut und in Relation zu anderen Forschungsfeldern. Aufseiten der Sportpraxis lässt sich eine generelle Unzufriedenheit ablesen, die sich auch aus der Präferenz anderer Organisationen als Hochschulen und Universitäten als Kooperationspartner ablesen lässt. Die Dominanz von trainingswissenschaftlicher Forschung im Bereich Leistungssport konnte ebenfalls bestätigt werden. Das aufgestellte theoretische Modell ermöglicht eine kritische Diskussion und weitere empirische Testungen.
Disaster management with cloud-based geographic information systems: site selection of landfill areas after Kahramanmaraş, Türkiye earthquake sequence
Authors: Mete Muhammed Oguzhan , Biyik Muhammed Yahya 
Published: May 2024

AbstractOn February 6, 2023, the earthquakes centered on Kahramanmaraş-Pazarcık and Kahramanmaraş-Elbistan affected several provinces in the region and generated a vast amount of demolition waste. This study aims to develop a site selection model for the most suitable landfill areas after the earthquake using open-source Geographic Information Systems (GIS) software and the Best-Worst Method (BWM). First, the study identifies decision criteria with a Delphi expert panel. Next, it determines the weights using the BWM based on pairwise comparison. Spatial data of the determinants were obtained from open data portals, and proximity, overlay, and slope analyses were carried out for the disaster region. Combining the output data layer of each criterion, a suitability map of the landfills was produced. As a result, 36,2% (29,826 kms square) of the study area was classified as suitable and very suitable. In this study, a cloud GIS-based decision support platform was developed to act quickly and initiate recovery processes within the scope of disaster management of the destructive earthquake. The suitability map and potential sites were shared with the responsible teams in the disaster area so that the potential sites could be displayed on the map and the suitable areas could be navigated on appropriate routes. The findings of the study revealed that the use of open data and cloud GIS framework in the disaster management process enables quick, reliable, and cost-effective actions in the immediate aftermath of disasters.
In silico Mechanics of Stem Cells Intramyocardially Transplanted with a Biomaterial Injectate for Treatment of Myocardial Infarction
Authors: Motchon Y. D. , Sack K. L. , Sirry M. S. , Nchejane N. J. , Abdalrahman T. , Nagawa J. , Kruger M. , Pauwels E. , Van Loo D. , De Muynck A. , Van Hoorebeke L. , Davies N. H. , Franz T. 
Published: May 2024

Abstract
Purpose
Biomaterial and stem cell delivery are promising approaches to treating myocardial infarction. However, the mechanical and biochemical mechanisms underlying the therapeutic benefits require further clarification. This study aimed to assess the deformation of stem cells injected with the biomaterial into the infarcted heart.

Methods
A microstructural finite element model of a mid-wall infarcted myocardial region was developed from ex vivo microcomputed tomography data of a rat heart with left ventricular infarct and intramyocardial biomaterial injectate. Nine cells were numerically seeded in the injectate of the microstructural model. The microstructural and a previously developed biventricular finite element model of the same rat heart were used to quantify the deformation of the cells during a cardiac cycle for a biomaterial elastic modulus (Einj) ranging between 4.1 and 405,900 kPa.

Results
The transplanted cells’ deformation was largest for Einj = 7.4 kPa, matching that of the cells, and decreased for an increase and decrease in Einj. The cell deformation was more sensitive to Einj changes for softer (Einj ≤ 738 kPa) than stiffer biomaterials.

Conclusions
Combining the microstructural and biventricular finite element models enables quantifying micromechanics of transplanted cells in the heart. The approach offers a broader scope for in silico investigations of biomaterial and cell therapies for myocardial infarction and other cardiac pathologies.
The Picard index of a surface with torus action
Authors: Springer Justus 
Published: May 2024

AbstractWe consider normal rational projective surfaces with torus action and provide a formula for their Picard index, that means the index of the Picard group inside the divisor class group. As an application, we classify the log del Pezzo surfaces with torus action of Picard number one up to Picard index $$ 10\,000 $$

10

000

.
Pacidusin B isolated from Phyllanthus acidus triggers ferroptotic cell death in HT1080 cells
Authors: Zhu Guangyu , Luo Dian , Zhao Yueqin , Xiang Zhengrui , Chen Chao , Li Na , Hao Xiaojiang , Ding Xiao , Zhang Yingjun , Zhao Yuhan 
Published: May 2024

AbstractCancer cells generally exhibit ‘iron addiction’ phenotypes, which contribute to their vulnerability to ferroptosis inducers. Ferroptosis is a newly discovered form of programmed cell death caused by iron-dependent lipid peroxidation. In the present study, pacidusin B, a dichapetalin-type triterpenoid from Phyllanthus acidus (L.) Skeels (Euphorbiaceae), induces ferroptosis in the HT1080 human fibrosarcoma cell line. Cells treated with pacidusin B exhibited the morphological characteristic ‘ballooning’ phenotype of ferroptosis. The biochemical hallmarks of ferroptosis were also observed in pacidusin B-treated cells. Both oxidative stress and ER stress play significant roles in pacidusin B-induced ferroptosis. The activation of the PERK-Nrf2-HO-1 signaling pathway led to iron overload, while inhibition of GPX4 further sensitized cancer cells to ferroptosis. Furthermore, the molecular docking study showed that pacidusin B docked in the same pocket in xCT as the ferroptosis inducer erastin. These results revealed that pacidusin B exerts anticancer effects via inducing ER-mediated ferroptotic cell death.
Graphical Abstract
Recent Advances in Mesothelioma
Authors: Lynch Geraldine A. , Maskell Nick A. , Bibby Anna 
Published: May 2024

Abstract
Purpose of Review
Pleural mesothelioma (PM) is a rare but fatal cancer of the pleural surface. Most patients have a poor prognosis, despite treatment advances which have improved outcomes. Recent research has focused on improving diagnosis, prognostication and monitoring through radiological, histological and molecular techniques. This review will cover its clinical implications and highlight areas where practice is changing.

Recent Findings
Changes in tumour classification and histological reporting have formalised the differentiation between benign, pre-malignant and malignant pleural disease. CT and thoracic ultrasound (TUS) have good diagnostic yields for pleural biopsy, but PET-CT does not increase diagnostic yield for repeat sampling. immunohistochemistry (IHC) staining for BAP1 and MTAP/CDKN2A pathological samples can increase diagnosis rates, while serum mesothelin shows promise for disease monitoring. Phase 3 RCT results mean dual immunotherapy is the new standard of care, whereas there is no role for extended pleurectomy decortication surgery for PM.

Summary
Best practice for PM diagnosis and management is changing at pace. Key areas for future research involve improving PM diagnostics, therapeutics and targeted therapies. An awareness of active research and clinical trials is essential for clinicians to seek for the best outcomes for their patients.
Racial/Ethnic Trends in Virtual Mental Health Care Utilization Among Undergraduate Students: A Descriptive Study
Authors: Loren D. M. , Reuter T. , Bickham N. , Booth R. T. 
Published: May 2024

Abstract
Background
Undergraduate students are particularly in need of mental health support, but demand has far surpassed resources. This gap between mental health diagnoses and support is particularly large among Asian, Hispanic/Latinx, and Black students. Supplementing on-campus care with a virtual-only behavioral health partner may shift these trends.

Objective
This study is aimed at comparing the number of undergraduate students from different racial/ethnic groups (White, Asian, Islander, Hispanic/Latinx, Black, Native, and Multiracial) engaging in virtual mental health visits as part of a partnership with a company providing virtual-only care, with the total enrolled undergraduate students at the same 113 institutions.

Methods
We used de-identified visit data and self-reported race/ethnicity to define the “patient” population of undergraduates accessing care. We compared that to the full “student” population of undergraduates among the same schools, available as part of the Integrated Postsecondary Education Data System (IPEDS).

Results
Patient population race/ethnicity (N = 14,870) differed significantly from student population race/ethnicity (N = 619,459). A significant effect ($$\chi$$
χ
26 = 2258, P < .001) indicated that patient demographics differed from student demographics. We found proportionally more Asian, Black, and Multiracial patients than students. At the same time, we found proportionally fewer White and Hispanic/Latinx patients than students.

Conclusions
We conclude that, in contrast to prior literature in traditional mental health care, some racial/ethnic minority undergraduates (Asian, Black, and Multiracial) may actually access care at a higher rate under a fully virtual model. On the other hand, White and Hispanic/Latinx students may access care less frequently.
Multimodal fake news detection through intra-modality feature aggregation and inter-modality semantic fusion
Authors: Zhu Peican , Hua Jiaheng , Tang Keke , Tian Jiwei , Xu Jiwei , Cui Xiaodong 
Published: May 2024

AbstractThe prevalence of online misinformation, termed “fake news”, has exponentially escalated in recent years. These deceptive information, often rich with multimodal content, can easily deceive individuals into spreading them via various social media platforms. This has made it a hot research topic to automatically detect multimodal fake news. Existing works made a great progress on inter-modality feature fusion or semantic interaction yet largely ignore the importance of intra-modality entities and feature aggregation. This imbalance causes them to perform erratically on data with different emphases. In the realm of authentic news, the intra-modality contents and the inter-modality relationship should be in mutually supportive relationships. Inspired by this idea, we propose an innovative approach to multimodal fake news detection (IFIS), incorporating both intra-modality feature aggregation and inter-modality semantic fusion. Specifically, the proposed model implements a entity detection module and utilizes attention mechanisms for intra-modality feature aggregation, whereas inter-modality semantic fusion is accomplished via two concurrent Co-attention blocks. The performance of IFIS is extensively tested on two datasets, namely Weibo and Twitter, and has demonstrated superior performance, surpassing various advanced methods by 0.6 The experimental results validate the capability of our proposed approach in offering the most balanced performance for multimodal fake news detection tasks.
A Technique for In-Situ Displacement and Strain Measurement with Laboratory-Scale X-Ray Computed Tomography
Authors: Kafka O. L. , Landauer A. K. , Benzing J. T. , Moser N. H. , Mansfield E. , Garboczi E. J. 
Published: May 2024

Abstract
Purpose: Establish a technique for simultaneous interrupted volumetric imaging of internal structure and time-resolved full-field surface strain measurements during in-situ X-ray micro-computed tomography (XCT) experiments. This enables in-situ testing of stiff materials with large forces relative to the compliance of the in-situ load frame, which might exhibit localization (e.g., necking, compaction banding) and other inhomogeneous behaviors.Methods: The system utilizes a combination of in-situ XCT, 2D X-ray imaging, and particle tracking to conduct volumetric imaging of the internal structure of a specimen with interrupted loading and surface strain mapping during loading. Critically, prior to the laboratory-scale XCT experiments, specimens are speckled with a high-X-ray-contrast powder that is bonded the surface. During in-situ loading, the XCT system is programmed to capture sequential 2D X-ray images orthogonal to the speckled specimen surface. A single particle tracking (SPT) or digital image correlation (DIC) algorithm is used to measure full-field surface strain evolution throughout the time-sequence of images. At specified crosshead displacements, the motion and 2D image sequence is paused for volumetric XCT image collection. Results: We show example results on a micro-tensile demonstration specimen additive manufactured from Inconel 718 nickel-chrome alloy. Results include XCT volume reconstructions, crosshead-based engineering stress, and full-field strain maps. Conclusion: We demonstrate an in-situ technique to obtain surface strain evolution during laboratory-scale XCT testing and interrupted volumetric imaging. This allows closer investigation of, for example, the effect of micro-pores on the strain localization behavior of additive manufactured metal alloys. In addition to describing the method using a representative test piece, the dataset and code are published as open-source resources for the community.

Graphical abstract
The effect of overlying rock fracture and stress path evolution in steeply dipping and large mining height stope
Authors: Huang Baofa , Xie Panshi , Wu Yongping , Lin Weidian , Luo Sheng , Wang Shicheng , Wen Zekang , Chen Jianjie 
Published: May 2024

AbstractTo study the fracture instability characteristics and fracture mechanism of overlying strata in steeply dipping and large mining height stope, through the combination of physical simulation experiment, numerical calculation, theoretical analysis and field measurement, the correlation between the evolution of mining stress field and the fracture of overlying strata in large mining height stope under the effect of dip angle is analyzed, and the stress transfer path and the fracture mechanism of overlying strata are revealed. Finally, the influence mechanism of key strata on the evolution of the mining stress field of overlying strata is explained. The research shows that under the influence of gravity dip angle effect and mining height increase, the mining stress is non-equilibrium transferred and evolved in space, and the principal stress field presents the characteristics of partition evolution. The fracture trajectory of rock strata is multi-step and “八” shaped, and the inclined masonry structure and multi-step key strata form a cooperative bearing structure. The key layer of the ladder is the stress transmission structure between the caving zone and the stress arch, and the high stress in the overhanging area under the main roof is transmitted to the advanced roof. With the increase of dip angle, the height of the caving zone decreases, and the fracture range of ladder and principal stress arch decreases. The cracks in the middle and upper broken rock blocks increase, and the instability of the “high ladder rock layer” is easy to induce the simultaneous fracture of the “inclined masonry structure”, resulting in regional unbalanced instability and impact. The research results can provide some reference and guiding significance for the stability control of surrounding rock in longwall stope with steeply dipping.
Secondary School Teachers’ Use of Formative Assessment Practice to Create Co-regulated Learning
Authors: Veugen M. J. , Gulikers J. T. M. , den Brok P. 
Published: May 2024

AbstractBy applying formative assessment in the classroom, many teachers want to stimulate students to self-regulate their learning. Co-regulation in formative assessment can stimulate students’ self-regulated learning. However, teachers could apply formative assessment to create co-regulation in the classroom in different ways. This study investigates two research questions: (1) How much teacher and student formative assessment behaviour is planned or unplanned and implemented in the classroom, when formative assessment is implemented to stimulate students’ self-regulated learning? and (2) What do these teacher and student formative assessment behaviours that create co-regulation of learning look like? The formative assessment cycle was used as a framework to describe the formative assessment process in five phases: (1) Clarifying expectations, (2) Eliciting student responses, (3) Analysing and interpreting responses, (4) Communicating about responses and (5) Taking follow-up actions: adapting teaching and learning. Fourteen teachers planned and implemented formative assessment that created co-regulated learning to stimulate students’ self-regulated learning. Teachers’ analysed lesson plans, audio reflections and colleague observations showed that teachers and students used more formative assessment during the lesson than that was planned beforehand. In most of the formative assessment practices, students were stimulated by their teachers to actively engage in, and take responsibility for, formative assessment practice. This resulted in students showing formative assessment behaviour that included self-regulated learning. The results of this study can help teachers and researchers to better recognise and implement formative assessment that creates co-regulated learning to stimulate student self-regulated learning.
Solving the SAT problem using spiking neural P systems with coloured spikes and division rules
Authors: Paul Prithwineel , Sosík Petr 
Published: May 2024

AbstractSpiking neural P systems (SNPS) are variants of the third-generation neural networks. In the last few decades, different variants of SNPS models have been introduced. In most of the SNPS models, spikes are represented using an alphabet with just one letter. In this paper, we use a deterministic SNPS model with coloured spikes (i.e. the alphabet representing spikes contains multiple letters), together with neuron division rules to demonstrate an efficient solution to the SAT problem. As a result, we provide a simpler construction with significantly less class resources to solve the SAT problem in comparison to previously reported results using SNPSs.
The Downregulation of MMP23B Facilitates the Suppression of Vitality and Induction of Apoptosis in Endometrial Cancer Cells
Authors: Li Ning , Li Hua , Wei Lijuan , Chen Hui , Wu Zhaorong , Yuwen Si , Yang Sufang 
Published: May 2024

AbstractEndometrial cancer is a malignant tumor that commonly occurs in the female reproductive system and its incidence is still increasing. The mechanism of the development of endometrial cancer has not yet been fully clarified, so we need to continuously study the relevant mechanisms of endometrial cancer and continue to explore its biomarkers in order to discover more precise and effective treatment methods for endometrial cancer. RT-qPCR (Real-Time quantitative Polymerase Chain Reaction) experiments were used to detect the expression level of MMP23B (Matrix Metalloproteinase 23B) in endometrial cancer cells; the clinical data of the TCGA (The Cancer Genome Atlas) database were downloaded, and gene expression profiles were analyzed to investigate the correlation between MMP23B (Matrix Metalloproteinase 23B) and the survival prognosis of endometrial cancer, and functional enrichment analysis was performed on MMP23B (Matrix Metalloproteinase 23B) related genes. After silencing MMP23B (Matrix Metalloproteinase 23B), CCK8 (Cell Counting Kit-8), RT-qPCR (Real-Time quantitative Polymerase Chain Reaction), scratch assay, and transwell assay were used to detect cell viability, levels of apoptotic factors, migration rate, and invasion number of endometrial cancer, respectively. MMP23B (Matrix Metalloproteinase 23B) was highly expressed in endometrial cancer, which is closely related to a poor survival prognosis for endometrial cancer, and may act on endometrial cancer through apoptosis-related functions. The downregulation of MMP23B (Matrix Metalloproteinase 23B) reduced the cell viability of endometrial cancer cells, upregulated the expression levels of CASP3 (Caspase-3), CASP8 (Caspase-8) and CASP9 (Caspase-9) in cells, and inhibited cell migration and invasion.
Learning management systems for higher education: a brief comparison
Authors: Sanchez Lisseth , Penarreta Jefferson , Soria Poma Xavier 
Published: May 2024

AbstractThe learning management system (LMS) is a software based on SAAS, internet navigator, or user application, which manage the teaching and learning of an academic or non-academic program. This work presents a comparison of 45 LMSs. The objective of this research is to report a study of the LMS developed for higher education. This objective is addressed by considering all LMSs with online access to information. For the comparison study, an evaluation criteria has been developed based on the literature review from the past 20 years. This evaluation methodology is based on Software Quality and Teaching-Learning tools for online educational platforms (SQTL), it is composed by six criteria: interoperability, accessibility, productivity tools, communication tools, learning tools, finally with the security standards and certifications. The maximum sum of SQTL score is 10 points and the minimum 0. The best LMS according to the comparison are Paradiso and Moodle with 9.50 and 9.25 points, respectively. Paradiso has around 1 million users and Moodle over 250 millions. The Google Sheets with the collected raw data and SQTL scores are available in https://shorturl.at/wqDWk.