bluuebunny/crossref_metadata_2025_split huggingface dataset:
Competence, Motivation and Interest Development Between Primary School and Tertiary Education—a Summary of Findings from the BiKS-8-18 Study
Authors: Pfost Maximilian , Becker Sarah , Artelt Cordula 
Published: May 2024

AbstractWithin the BiKS-8-18 study (“Educational Processes, Competence Development, and Formation of Educational Decisions in Preschool and School Age”), the academic career of more than three thousand students from primary school up to tertiary education was observed. The longitudinal study design encompasses ten years of data collection on students, teachers and parents using a wide range of instruments. In this article, we summarize research findings on three major research questions. First, we discuss the development of reading comprehension in primary and secondary school, focusing on the exploration individual differences and the Matthew-effect. Second, we present research on students’ academic interests in secondary school and the role of social and dimensional comparisons for the development of individual differences. And third, we illustrate findings on the development of students’ goals at the transition from secondary school to tertiary education. Finally, a comprehensive outlook is provided.
N-jettiness soft function at next-to-next-to-leading order in perturbative QCD
Authors: Agarwal Prem , Melnikov Kirill , Pedron Ivan 
Published: May 2024

Abstract
We derive a compact representation of the renormalized N-jettiness soft function that is free of infrared and collinear divergences through next-to-next-to-leading order in perturbative QCD. The number of hard partons N is a parameter in the formula for the finite remainder. Cancellation of all infrared and collinear singularities between the bare soft function and its renormalization matrix in color space is demonstrated analytically.
Akzeptanz digitaler Apps in der Nachsorge von Patient*innen mit Kopf-Hals-Tumoren
Authors: Weusthof Christopher , Zhu Zhaojun , Ruck Anne , Bolooki Amir , Schöffski Oliver , Wollenberg Barbara , Wirth Markus 
Published: May 2024

Zusammenfassung

Hintergrund
„Patient-reported outcome measures“ führen bei Tumorpatient*innen sowohl zu einer verbesserten Lebensqualität als auch möglicherweise zu einer früheren Erkennung von Tumorrezidiven.

Fragestellung
Erfragt wurde das Interesse der Patient*innen an einer Ergänzung der Tumornachsorge durch Apps zur Erfassung der Lebensqualität (patient-reported outcome [PRO]).

Material und Methode
Dazu erfolgte die Auswertung eines selbstständig erstellten Fragebogens zur Erfassung des Interesses von Tumorpatient*innen an einer digitalisierten Form der Tumornachsorge (n = 110)

Ergebnisse
In der Studie zeigten sich Tumorpatient*innen zum Großteil interessiert an einer App-Nutzung zur Tumorerkrankung. Unter Einbeziehung des Alters stieg die Anzahl erwartungsgemäß bei Patient*innen < 60 Jahren noch weiter. Dazu passend zeigten für humanes Papillomavirus (HPV-)positive Patient*innen ein signifikant größeres Interesse (p = 0,021).

Schlussfolgerung
Die Einführung einer App wird vom Großteil der Tumorpatient*innen befürwortet. Neben der Erfassung des PRO könnten hier weitere Anwendungen (Terminerinnerung, Patientenakte, Sport‑/Ernährungsprogramme) integriert werden.
Disruptions to early childhood preschool services during a pandemic: Evidence from India
Authors: Ravindran Saravana , Shah Manisha 
Published: May 2024

AbstractMuch less is known about the impacts of the COVID-19 pandemic on the provision of early childhood preschool services relative to research on school closures. We conducted surveys of more than 5000 early childhood service providers and leverage temporal and spatial variation in India’s intensity of lockdowns to quantify disruptions to preschool services under the world’s largest early childhood development program between areas with different strictness of lockdown measures. We document a 23 percentage point reduction in the provision of preschool services in red zone lockdown areas (strictest measures) relative to green zone lockdown areas (least strict measures). We find that pre-COVID measures of high worker locus of control and public service motivation offset the reduction in differential preschool service provision by 27–37%.
A Pediatric Interprofessional Cardiac Intensive Care Unit Intervention: CICU Teams and Loved Ones Communicating (CICU TALC) is Feasible, Acceptable, and Improves Clinician Communication Behaviors in Family Meetings
Authors: Walter Jennifer , Hill Douglas L. , Cetin Arzu , DeWitt Aaron , Kellom Katie , Quarshie William , Griffis Heather , Shults Justine , Arnold Robert , Tjia Jennifer , Puopolo Karen , Curley Martha A. Q. , Feudtner Chris 
Published: May 2024

AbstractParents of children in the pediatric cardiac intensive care unit (CICU) are often unprepared for family meetings (FM). Clinicians often do not follow best practices for communicating with families, adding to distress. An interprofessional team intervention for FM is feasible, acceptable, and positively impacts family preparation and conduct of FM in the CICU. We implemented a family- and team-support intervention for conducting FM and conducted a pretest–posttest study with parents of patients selected for a FM and clinicians. We measured feasibility, fidelity to intervention protocol, and parent acceptability via questionnaire and semi-structured interviews. Clinician behavior in meetings was assessed through semantic content analyses of meeting transcripts tracking elicitation of parental concerns, questions asked of parents, and responses to parental empathic opportunities. Logistic and ordinal logistic regression assessed intervention impact on clinician communication behaviors in meetings comparing pre- and post-intervention data. Sixty parents (95% of approached) were enrolled, with collection of 97% FM and 98% questionnaire data. We accomplished > 85% fidelity to intervention protocol. Most parents (80%) said the preparation worksheet had the right amount of information and felt positive about families receiving this worksheet. Clinicians were more likely to elicit parental concerns (adjusted odds ratio = 3.42; 95%CI [1.13, 11.0]) in post-intervention FM. There were no significant differences in remaining measures. Implementing an interprofessional team intervention to improve family preparation and conduct of FM is locally feasible, acceptable, and changes clinician behaviors. Future research should assess broader impact of training on clinicians, patients, and families.
Photon-counting computed tomography for paediatric congenital heart defects yields images of high diagnostic quality with low radiation doses at both 70 kV and 90 kV
Authors: Stålhammar Fredrik , Aurumskjöld Marie-Louise , Meyer Sofie , Wiklund Marie , Wingren Pär , Liuba Petru , Hedström Erik 
Published: May 2024

AbstractBackgroundPhoton-counting computed tomography (PCCT) is a new clinical method that may show better diagnostic quality at lower radiation doses than conventional CT.ObjectiveTo investigate the diagnostic quality and radiation dose of paediatric cardiovascular PCCT for diagnosis of congenital heart defects at 70 kV and 90 kV.Materials and methodsThis retrospective assessment included clinical non-gated paediatric PCCT examinations for assessment of congenital heart defects. Radiation doses were recorded, and overall and specific diagnostic quality (1–4) were scored by four paediatric radiologists. Agreement, differences, and trends were assessed by percent rater agreement, intraclass correlation, Mann–Whitney tests, and Jonckheere-Terpstra tests.ResultsSeventy children with congenital heart defects were examined at 70 kV (n = 35; age 2 days–16 years; 63% boys) or 90 kV (n = 35; age 2 days–17 years; 51% boys). All observers gave a median score of 4 (high diagnostic quality) for both 70 kV and 90 kV, with no difference in median values between tube voltages (all P > 0.06). Agreement for overall scores was 66–94% for 70 kV and 60–77% for 90 kV. Agreement for specific scores was 80–97% for 70 kV and 83–89% for 90 kV. Size-dependent dose estimate was 0.68 mGy (0.25–2.02 mGy) for 70 kV and 1.10 mGy (0.58–2.71 mGy;P < 0.001) for 90 kV. Effective dose was 0.30 mSv (0.15–0.82 mSv) for 70 kV and 0.39 mSv (0.22–1.51 mSv;P = 0.01) for 90 kV.ConclusionPaediatric cardiovascular PCCT yields images for congenital heart defects of high diagnostic quality with low radiation dose at both 70 kV and 90 kV.
Superior Medial-Based Breast Reduction with Inverted T Incision: A Precise Description of Our Refined Preoperative Marking and Operative Technique
Authors: Lanthaler Monika , Haim Alexander , Steinkellner Theresia , Harasser Carina , Tasch Christoph , Nitto Agnese , Schwabegger Anton , Wolfram Dolores 
Published: May 2024

Abstract
The purpose of this paper was to compile a thoroughly elaborated step-by-step guide for the preoperative marking and operative technique for superior medial pedicle inverted T breast reduction based on our long experience and technical refinements.

Level of Evidence IV
This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266.
Identification of rare earth elements in synthetic and natural monazite and xenotime by visible-to-shortwave infrared reflectance spectroscopy
Authors: Dijkstra A. H. , Bakker W. H. , Deon F. , Marcatelli C. , Plokker M. P. , Hintzen H. T. 
Published: May 2024

AbstractTo support the role of proximal and remote sensing in geological rare earth element (REE) resource exploration, we studied the reflectance spectroscopy of synthetic single- and mixed-REE phosphate phases. Synthesis yielded monazite for the elements La to Gd, and xenotime for Dy to Lu and Y. Visible-to-shortwave infrared (350–2500 nm) reflectance spectra of synthetic single-REE monazites and xenotimes can be used to identify the ions responsible for the absorption features in natural monazites and xenotimes. Nd3+, Pr3+ and Sm3+ produce the main absorption features in monazites. In natural xenotime, Dy3+, Er3+, Ho3+ and Tb3+ ions cause the prevalent absorptions. The majority of the REE-related absorption features are due to photons exciting electrons within the 4f subshell of the trivalent lanthanide ions to elevated energy levels resulting from spin-orbit coupling. There are small (< 20 nm) shifts in the wavelengths of these absorptions depending on the nature of the ligands. The energy levels are further split by crystal field effects, manifested in the reflectance spectra as closely spaced (∼ 5–20 nm) multiplets within the larger absorption features. Superimposed on the electronic absorptions are vibrational absorptions in the H2O molecule or within [OH]−, [CO3]2− and [PO4]3− functional groups, but so far only the carbonate-related spectral features seem usable as a diagnostic tool in REE-bearing minerals. Altogether, our study creates a strengthened knowledge base for detection of REE using reflectance spectroscopy and provides a starting point for the identification of REE and their host minerals in mineral resources by means of hyperspectral methods.
Nemabiome metabarcoding shows a high prevalence of Haemonchus contortus and predominance of Camelostrongylus mentulatus in alpaca herds in the northern UK
Authors: Zahid Osama , Butler Meghan , Hopker Andy , Freeman Emily , Costa Júnior Livio M. , Chaudhry Umer , Sargison Neil 
Published: May 2024

AbstractGastrointestinal nematodes (GINs) are a common threat faced by pastoral livestock. Since their major introduction to the UK in the early 1990s, South American camelids have been cograzed with sheep, horses, and other livestock, allowing exposure to a range of GIN species. However, there have been no molecular-based studies to investigate the GIN populations present in these camelids. In the current study, we sampled nine alpaca herds from northern England and southern Scotland and used high-throughput metabarcoded sequencing to describe their GIN species composition. A total of 71 amplicon sequence variants (ASVs) were identified representing eight known GIN species. Haemonchus contortus was the most prevalent species found in almost all herds in significant proportions. The identification of H. contortus in other livestock species is unusual in the northern UK, implying that alpacas may be suitable hosts and potential reservoirs for infection in other hosts. In addition, the camelid-adapted GIN species Camelostrongylus mentulatus was identified predominantly in herds with higher faecal egg counts. These findings highlight the value of applying advanced molecular methods, such as nemabiome metabarcoding to describe the dynamics of gastrointestinal nematode infections in novel situations. The results provide a strong base for further studies involving cograzing animals to confirm the potential role of alpacas in transmitting GIN species between hosts.
Building datasets to support information extraction and structure parsing from electronic theses and dissertations
Authors: Ingram William A. , Wu Jian , Kahu Sampanna Yashwant , Manzoor Javaid Akbar , Banerjee Bipasha , Ahuja Aman , Choudhury Muntabir Hasan , Salsabil Lamia , Shields Winston , Fox Edward A. 
Published: May 2024

AbstractDespite the millions of electronic theses and dissertations (ETDs) publicly available online, digital library services for ETDs have not evolved past simple search and browse at the metadata level. We need better digital library services that allow users to discover and explore the content buried in these long documents. Recent advances in machine learning have shown promising results for decomposing documents into their constituent parts, but these models and techniques require data for training and evaluation. In this article, we present high-quality datasets to train, evaluate, and compare machine learning methods in tasks that are specifically suited to identify and extract key elements of ETD documents. We explain how we construct the datasets by manual labeling the data or by deriving labeled data through synthetic processes. We demonstrate how our datasets can be used to develop downstream applications and to evaluate, retrain, or fine-tune pre-trained machine learning models. We describe our ongoing work to compile benchmark datasets and exploit machine learning techniques to build intelligent digital libraries for ETDs.
Project ‘‘Mass Movements in Germany’’ and its implications for nationwide landslide susceptibility assessment
Authors: Torizin Jewgenij , Fuchs Michael , Balzer Dirk , Kuhn Dirk , Glaser Stefan , Ehret Dominik , Wiedenmann Johannes , Dommaschk Peter , Henscheid Stefan , Strauß Roland 
Published: May 2024

AbstractThe paper presents the framework and discusses the outcomes of the "Mass Movements in Germany" project—a collaboration of five State Geological Surveys (SGSs) and the Federal Institute for Geosciences and Natural Resources (BGR) to conduct a feasibility study for a nationwide landslide susceptibility map in Germany using harmonized datasets. Therefore, distinct methods representing heuristic, physically-based, and data-driven approaches were employed. In 14 consecutive modeling cases, we investigated parameter selection and preparation, model building, evaluation, and transferability issues. The results show that nationally harmonized datasets, deemed high-quality, exhibited data generalization at regional scales, affecting the reliability of the landslide susceptibility patterns. While using regional datasets on larger scales mitigated some generalization effects, heterogeneities in inventory datasets among distinct federal states pose challenges in creating a nationwide applicable model. Heterogeneous data require locally adjusted model designs affecting the model's transferability and comparability of data-driven models across large regions. Heuristic methods operate without observational data but require in-depth knowledge of the regional-geological conditions by involving expert groups rather than single experts. The physically-based model shows promising results with parametrization based on the pedotransfer functions and soil database supplementing the national soil map. However, this approach is limited to shallow translational landslides. Thus, considering all mass movement types, a single comprehensive approach for creating a nationwide landslide susceptibility map for Germany is currently not feasible. Close collaboration and further harmonization of datasets and methods involving all SGSs are needed.
A systematic review to explore patients’ MS knowledge and MS risk knowledge
Authors: Smith Edward , Langdon Dawn 
Published: May 2024

AbstractLiving with a chronic illness poses particular challenges, including maintaining current disease knowledge to optimise self-management and interaction with health professionals. People with Multiple Sclerosis (MS) are increasingly encouraged to participate in shared decision making. Making informed decisions is likely to rely on adequate knowledge about the condition and its associated risks. The aim of this systematic review is to explore patients’ existing MS knowledge and MS risk knowledge, and how these relate to demographic and disease variables. A literature search was conducted using PsycINFO, PubMed and Cochrane Library. Eligible studies were published peer-reviewed reporting quantitative measures of MS knowledge and MS risk knowledge in adult MS patients. Eighteen studies met inclusion criteria comprising a total sample of 4,420 patients. A narrative synthesis was undertaken because studies employed various measures. Suboptimal levels of MS knowledge and MS risk knowledge were generally identified across studies. Greater self-reported adherence and a willingness to take medication were related to higher MS knowledge, while educational level was a significant predictor of both MS knowledge and MS risk knowledge. Associations with other demographic and disease-related variables were mixed for both knowledge domains. Direct comparison of results across studies were limited by methodological, sampling and contextual heterogeneity. The review’s findings and implications for future research and clinical practice are considered from this perspective.
Insights into Bitcoin and energy nexus. A Bitcoin price prediction in bull and bear markets using a complex meta model and SQL analytical functions
Authors: Bâra Adela , Oprea Simona-Vasilica , Panait Mirela 
Published: May 2024

AbstractCryptocurrencies are in the center of attention of investors, public authorities and researchers, but the interest has shifted from purely financial aspects regarding the way of trading, lack of regulation and supervision of transactions, volatility, correlation with other assets to aspects related to sustainability taking in account the high energy consumption generated by the mining process and the impact on environmental pollution. Bitcoin was chosen for the research considering the dominance that this financial asset has on the cryptocurrency market and its position as alpha currency.The article focuses on the relationship between Bitcoin transactions and energy consumption, for period 1st January 2019—31st of May 2022, this interval having significant price movements. The authors made a prediction of the Bitcoin price using a complex meta-model and SQL analytical functions. The analysis is based on 15 fundamental variables in order to forecast the price: Bitcoin data (prices and volume), electricity price and traded quantity on day-ahead market (DAM), gas price and traded quantity on DAM, inflation in EU, EU-ETS emissions certificates and oil prices. The study reveals the importance of the relationship Bitcoin—energy—carbon emissions, elements that capture the impact of the mining process on the environment from the perspective of energy consumption. Investors on the Bitcoin market must be aware not only of the importance of financial aspects on the price of cryptocurrencies (inflation, demand, offer), but also of other elements related to the evolution of energy prices (electricity, oil, gas, renewable energy) and the evolution of emissions certificates prices. Considering the promotion of the principles of sustainable development on the capital market, portfolio investors have become increasingly attentive to the social and environmental performance of financial assets. This study aims to make financial market players aware of the non-financial implications of their transactions. In addition, the energy transition and the reconfiguration of the energy mix are elements of impact on the cryptocurrency market through the technical levers involved in the mining process.
Artificial intelligence in coronary artery calcium score: rationale, different approaches, and outcomes
Authors: Gennari Antonio G. , Rossi Alexia , De Cecco Carlo N. , van Assen Marly , Sartoretti Thomas , Giannopoulos Andreas A. , Schwyzer Moritz , Huellner Martin W. , Messerli Michael 
Published: May 2024

AbstractAlmost 35 years after its introduction, coronary artery calcium score (CACS) not only survived technological advances but became one of the cornerstones of contemporary cardiovascular imaging. Its simplicity and quantitative nature established it as one of the most robust approaches for atherosclerotic cardiovascular disease risk stratification in primary prevention and a powerful tool to guide therapeutic choices. Groundbreaking advances in computational models and computer power translated into a surge of artificial intelligence (AI)-based approaches directly or indirectly linked to CACS analysis. This review aims to provide essential knowledge on the AI-based techniques currently applied to CACS, setting the stage for a holistic analysis of the use of these techniques in coronary artery calcium imaging. While the focus of the review will be detailing the evidence, strengths, and limitations of end-to-end CACS algorithms in electrocardiography-gated and non-gated scans, the current role of deep-learning image reconstructions, segmentation techniques, and combined applications such as simultaneous coronary artery calcium and pulmonary nodule segmentation, will also be discussed.
The Link Between Digital Skills and Financial Inclusion—Evidence from Consumers Survey Data from Low-Income Areas
Authors: Vik P. M. , Kamerāde D. , Dayson K. T. 
Published: May 2024

AbstractFinancial and digital inclusion are key consumer policy agendas for governments globally. Yet, despite the importance of online interfaces to manage finances and make payments, the link between financial and digital inclusion remains under-researched. This study analyses the link between digital and financial inclusion drawing on data from a survey conducted of 922 adults in UK in 2018. The results suggest that the active use of banking services depends on digital skills. The level of self-rated internet proficiency predicts a variety of ways in which consumers use financial services in the management of their finances, including contactless payments, bank transfers, and the use of multiple banking services. This holds even when controlling for socioeconomic and demographic characteristics. Conversely, household income is more important as a determinant than digital skills in checking account balance online. This possibly reflects that liquidity constrained consumers generally prefer to monitor their spending using cash as this provides more precise information on their spending and remaining balance.