bluuebunny/crossref_metadata_2025_split huggingface dataset:
Entwicklung und Erprobung eines Fragebogens zur Erfassung von Arbeitstätigkeitsmerkmalen und Arbeitszufriedenheit von Zahnmedizinischen Fachangestellten („FArM-ZFA“)
Authors: Kröber Carina , Dick Michael 
Published: January 2025

Zusammenfassung
In diesem Beitrag wird der entwickelte und erprobte „Fragebogen zur Erfassung von Arbeitstätigkeitsmerkmalen und Arbeitszufriedenheit von Zahnmedizinischen Fachangestellten“ („FArM-ZFA“) vorgestellt. Er erfasst sowohl die Ausprägung verschiedener Facetten und Determinanten von Arbeitszufriedenheit als auch die Arbeitszufriedenheit als Globalmaß. Eine Hauptachsenanalyse (PFA) deutet auf die neun Faktoren Verhältnis zum Vorgesetzten, Team, Patientenkontakt, Psychische Beanspruchung, Berufliche Bindung, Strukturierter Arbeitstag, Arbeitstätigkeit, Gehalt und Kommunikation hin. An einer bundesweiten Befragung von n = 1097 Zahnmedizinischen Fachangestellten (ZFA) zeigen sich sehr gute Reliabilitäts- und Itemkennwerte. Sechs entscheidende Prädiktoren konnten für die globale Arbeitszufriedenheit von ZFA ermittelt werden: Verhältnis zum Vorgesetzten, Arbeitstätigkeit, Gehalt, Team, Strukturierter Arbeitstag und Patientenkontakt (R = 0,74; R

2
= 55; korrigiertes R

2
= 0,54; F (6, 1076) = 214,92, p < 0,001).

Praktische Relevanz: Die arbeitswissenschaftliche Forschung betrachtet Gesundheitsberufe bislang im Kontext großer Kliniken und kaum in niedergelassenen Klein- und Kleinstunternehmen. Für den Beruf der ZFA steht nun ein solides Instrument zur Erfassung von Arbeitszufriedenheit und ihrer Einflussfaktoren zur Verfügung, mit dem konkrete Handlungsmaßnahmen zur Aufwertung und Attraktivität des Berufsbildes, zur Verbesserung der Arbeitsbedingungen in den Praxen, zur Fort- und Weiterbildung der ZFA und zur Sicherung des Fachkräftenachwuchses abgeleitet werden können.
A longitudinal bottom-up analysis of staff travel patterns (2018–2023) at a research-intensive university hospital
Authors: Gebhardt N. , Kern O. A. , Schwaab L. , Friederich H.-C. , Nikendei C. 
Published: January 2025

AbstractUniversity hospitals are part of the health care system, as well as academia. The carbon footprint of staff travel, quantified as greenhouse gas (GHG) emissions, is significantly enlarged by academic air travel in these facilities. Both as an academic institution and as a health care provider, they have a special obligation to mitigate their GHG emissions. Yet, there exist no data-driven analyses of staff travel at university hospitals, nor have quantitative evaluations of mitigation measures been published so far. Methods. GHG emissions were calculated bottom-up from administrative data for all travel activities in 2018–2023 at a large university hospital active in international research. In a second step, we calculated net reductions in GHG emissions for potential reduction measures. Results. In total, 26,833 trips were analyzed. Due to an overall decrease in traveling activities, GHG emissions in 2023 have decreased to 63% of the pre-COVID levels in 2019. Most trips were undertaken by train (65.8%), but 94.8% of GHG emissions originated from air travel. On average, medical professors emitted 24 times as much GHG as regular physicians per person, and 10 times as much as scientific research personnel. Reducing intercontinental flights by 50% would save up to 44% of net GHG emissions, reducing trips by plane with less than two overnight stays by 50% would save 19%, and reducing flights by senior staff by 50% would save 14%. Conclusion. Academic air travel, the internationalization of research activities, and extensive travel behavior by senior staff should be critically assessed. Doctors and researchers are considered the most trustworthy professions worldwide and could lead transformations towards sustainable travel behavior.
Digital parking assignment: matching mechanism design approach
Authors: Jeong Jinyong 
Published: January 2025

AbstractIn this paper, we conceptualize parking in urban areas as a matching problem. We begin by formulating street parking behavior as a strategic game and develop a matching framework for this scenario. We demonstrate that the set of Nash equilibria in the parking game directly corresponds to the set of stable outcomes in the associated matching problem. Subsequently, we propose a centralized mechanism designed to allocate available parking spaces to drivers in a stable manner, facilitated through a digital platform, such as a mobile application. This mechanism can accommodate various practical needs by establishing a priority structure that may include distance priority, price priority, or resident priority.
A comprehensive survey on shadow removal from document images: datasets, methods, and opportunities
Authors: Wang Bingshu , Li Changping , Zou Wenbin , Zhang Yongjun , Chen Xuhang , Chen C.L. Philip 
Published: January 2025

AbstractWith the rapid development of document digitization, people have become accustomed to capturing and processing documents using electronic devices such as smartphones. However, the captured document images often suffer from issues like shadows and noise due to environmental factors, which can affect their readability. To improve the quality of captured document images, researchers have proposed a series of models or frameworks and applied them in distinct scenarios such as image enhancement, and document information extraction. In this paper, we primarily focus on shadow removal methods and open-source datasets. We concentrate on recent advancements in this area, first organizing and analyzing nine available datasets. Then, the methods are categorized into conventional methods and neural network-based methods. Conventional methods use manually designed features and include shadow map-based approaches and illumination-based approaches. Neural network-based methods automatically generate features from data and are divided into single-stage approaches and multi-stage approaches. We detail representative algorithms and briefly describe some typical techniques. Finally, we analyze and discuss experimental results, identifying the limitations of datasets and methods. Future research directions are discussed, and nine suggestions for shadow removal from document images are proposed. To our knowledge, this is the first survey of shadow removal methods and related datasets from document images.
Empowering Energy: Legal and Regulatory Perspectives on Blockchain-Enabled Trading in Malaysia and Australia
Authors: Karisma Karisma , Deane Felicity 
Published: January 2025

AbstractLeveraging blockchain technology in the energy sector holds immense potential, particularly in facilitating decentralised energy systems. However, the legal and regulatory landscapes of several countries, including Malaysia and Australia, pose significant obstacles to its effective implementation. This article examines the specific legal and regulatory hurdles hindering the incorporation of P2P energy trading systems in these two jurisdictions: Malaysia and Australia. Through a comparative analysis, the authors aim to provide valuable insights for policymakers and regulators seeking to develop comprehensive frameworks that encourage blockchain adoption in the energy sector. The article highlights the need to address the under-inclusiveness of laws, legal uncertainty around novel blockchain-based concepts like smart contracts, and the obsolescence of legal frameworks designed for traditional centralised energy systems. By examining Malaysia’s and Australia’s unique challenges, the article seeks to contribute to a broader understanding of the complexities of adapting legal and regulatory frameworks to accommodate this transformative technology.
“But the Emperor has no clothes!” empirical validation of the nonmarket integrated strategy model
Authors: Hadani Michael , Schuler Doug 
Published: January 2025

AbstractCorporate political activity (CPA) scholarship has long held the notion that firms can improve their performance by combining CPA and market activities, the so-called nonmarket integrated strategy model (NISM). Yet, the relationships embedded in the NISM have not been subjected to thorough empirical investigation beyond a handful of case studies or analyses limited to regulated firms. We step into this void and empirically evaluate whether the performance benefits of integration ever manifest. Our comprehensive analysis of over 2,200 publicly traded firms from 1998 to 2018 convincingly shows that the firms combining their CPA and market activities do not outperform their counterparts not using this combined strategy. Instead, the overall pattern of findings provides a nuanced picture of firms’ abilities to benefit financially from integration. We offer four interpretations of these novel findings, related to strategic control limitations, policy opportunity windows, visibility via market activities, and limited integration mimicry, advancing our theoretical knowledge of nonmarket integrated strategy.
On the Right to Work in the Age of Artificial Intelligence: Ethical Safeguards in Algorithmic Human Resource Management
Authors: Capasso Marianna , Arora Payal , Sharma Deepshikha , Tacconi Celeste 
Published: January 2025

AbstractAlgorithmic human resource management (AHRM), the automation or augmentation of human resources-related decision-making with the use of artificial intelligence (AI)-enabled algorithms, can increase recruitment efficiency but also lead to discriminatory results and systematic disadvantages for marginalized groups in society. In this paper, we address the issue of equal treatment of workers and their fundamental rights when dealing with these AI recruitment systems. We analyse how and to what extent algorithmic biases can manifest and investigate how they affect workers’ fundamental rights, specifically (1) the right to equality, equity, and non-discrimination; (2) the right to privacy; and, finally, (3) the right to work. We recommend crucial ethical safeguards to support these fundamental rights and advance forms of responsible AI governance in HR-related decisions and activities.
Roles, Skills, and Knowledge Requirements of Clinical Pharmacists in Disaster or Emergency Response Teams: A Scoping Review
Authors: Uren Hailie , O’Mathúna Dónal , Weinstein Eric S. , Herbert Teri Lynn 
Published: January 2025

Abstract

Objective
The scoping review aims to provide an overview of the existing literature to inform an understanding of pharmacists’ roles, skills, and knowledge requirements for Emergency Medical Teams responding to disasters or humanitarian crises.

Methods
The methodology utilized the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA-ScR) guidelines, with methodology adapted by the Joanna Briggs Institute. Six databases were searched for sources published after 2000: PubMed, Mednar, Scopus, Defense Technical Information Centre, LILACS, and CINAHL. A manual search of grey literature was conducted to discover additional sources of information outside of the electronic databases.

Results
Of the 427 initial studies and reports, 36 were selected for inclusion. Five key themes on role requirements were identified: supply chain management; establishment and operationalization of pharmacies; stakeholder communication, collaboration, and liaison; direct patient care; and response management and coordination. Each theme was delineated into subthemes linked with requisite skills and knowledge.

Conclusions
This scoping review identifies key roles, skills, and knowledge requirements of pharmacist contributions to Emergency Medical Teams responding to disasters or emergencies.
Overview of the cellular and immune mechanisms involved in acute pancreatitis: In search of new prognosis biomarkers
Authors: Mititelu Alexandra , Grama Alina , Colceriu Marius-Cosmin , Pop Tudor L. 
Published: January 2025

Abstract
Acute pancreatitis (AP) is an acute-onset gastrointestinal disease characterized by a significant inflammation of the pancreas. Most of the time, AP does not leave substantial changes in the pancreas after the resolution of the symptoms but the severe forms are associated with local or systemic complications. The pathogenesis of AP has long been investigated and, lately, the importance of intracellular mechanisms and the immune system has been described. The initial modifications in AP take place in the acinar cell. There are multiple mechanisms by which cellular homeostasis is impaired, one of the most important being calcium overload. Necrotic pancreatic cells initiate the inflammatory response by secreting inflammatory mediators and attracting immune cells. From this point on, the inflammation is sustained by the involvement of innate and adaptive immune systems. Multiple studies have demonstrated the importance of the first 48 h for identifying patients at risk for developing severe forms. For this reason, there is a need to find new, easy-to-use and reliable markers for accurate predictions of these forms. This review provides an overview of the main pathogenetic mechanisms involved in AP development and the most promising biomarkers for severity stratification.
Lavaurs algorithm for cubic symmetric polynomials
Authors: BLOKH ALEXANDER , OVERSTEEGEN LEX G. , SELINGER NIKITA , TIMORIN VLADLEN , VEJANDLA SANDEEP CHOWDARY 
Published: January 2025

Abstract
As discovered by W. Thurston, the action of a complex one-variable polynomial on its Julia set can be modeled by a geodesic lamination in the disk, provided that the Julia set is connected. It also turned out that the parameter space of such dynamical laminations of degree two gives a model for the bifurcation locus in the space of quadratic polynomials. This model is itself a geodesic lamination, the so called quadratic minor lamination of Thurston. In the same spirit, we consider the space of all cubic symmetric polynomials

$f_\unicode{x3bb} (z)=z^3+\unicode{x3bb} ^2 z$

in three articles. In the first one, we construct the cubic symmetric comajor lamination together with the corresponding quotient space of the unit circle. As is verified in the third paper, this yields a monotone model of the cubic symmetric connectedness locus, that is, the space of all cubic symmetric polynomials with connected Julia sets. In the present paper, the second in the series, we develop an algorithm for generating the cubic symmetric comajor lamination analogous to the Lavaurs algorithm for constructing the quadratic minor lamination.
Pushchino multibeam pulsar search — V. The bright FRB 20190203 detected at 111 MHz
Authors: Tyul’bashev S. A. , Samodurov V. A. , Pozanenko A. S. , Brylyakova E. A. , Grebenev S. A. , Chelovekov I. V. , Minaev P. Yu. , Isaev E. A. , Barkov M. V. 
Published: January 2025

Abstract
Since August 2014, a monitoring survey at a frequency of 111 MHz has been conducted on the Large Phased Array (LPA) radio telescope of the P.N. Lebedev Physical Institute (LPI). We report the discovery of a bright pulse having a dispersion measure (DM) equal to 134.4 ± 2 pc cm–3, a peak flux density (Sp) equal to 20 ± 4 Jy and a half-width (We) equal to 211 ± 6 ms. The excessive DM of the pulse, after taking into account the MilkyWay contribution, is 114 pc cm–3 that indicates its extragalactic origin. Such value of DM corresponds to the luminosity distance 713 Mpc. The above parameters make the pulse to be a reliable candidate to the fast radio burst (FRB) event, and then it is the second FRB detected at such a large λ ∼ 2.7 m wavelength and the first one among non-repeating FRBs. The normalized luminosity L
ν
of the event, which we have designated as FRB 20190203, estimated under assumption that the whole excessive DM is determined by the intergalactic environment toward the host galaxy, is equal to ≃ 1034 erg s–1Hz–1. In addition to the study of radio data we analyzed data from the quasi-simultaneous observations of the sky in the high energy (≥ 80 keV) band by the omnidirectional detector SPI/ACS aboard the INTEGRAL orbital observatory (in order to look for a possible gamma-ray counterpart of FRB 20190203). We did not detect any transient events exceeding the background at a statistically significant level. In the INTEGRAL archive, the FRB 20190203 localization region has been observed many times with with a total exposure of ∼ 73.2 days. We have analyzed the data but were unable to find any reliable short gamma-ray bursts from the FRB 20190203 position. Finally we note that the observed properties of FRB 20190203 can be reproduced well in the framework of a maser synchrotron model operating in the far reverse shock (at a distance of ∼ 1015 cm) of a magnetar. However, triggering the burst requires a high conversion efficiency (at the level of 1%) of the shock wave energy into the radio emission.
Social defeat predicts the emergence of psychotic-like experiences through the effects on aberrant salience: insights from a network analysis of longitudinal data
Authors: Bielawski Tomasz , Rejek Maksymilian , Misiak Błażej 
Published: January 2025

AbstractBackgroundPsychotic-like experiences (PLEs) are subclinical phenomena that often precede the onset of psychosis and occur in various mental disorders. Social determinants of psychosis and PLEs are important and have been operationalized within the social defeat (SD) hypothesis. The SD hypothesis posits that low social status and exposure to repeated humiliation can lead to imbalanced dopamine neuron activity, and thus increased risk of psychosis. We aimed to assess the role of dynamic interactions between SD components in shaping the occurrence of PLEs using a network analysis.MethodsA total of 2241 non-clinical, young adults were assessed at baseline and invited for reassessment after a 6-month follow-up. Self-reports recording the occurrence of PLEs, aberrant salience (AS), depressive, and anxiety symptoms as well as SD characteristics (socioeconomic status, minority status, humiliation, perceived constraints, and domain control) were administered. Two networks were analyzed (the first one covering all baseline measures and the second one with the baseline SD components and follow-up measures of AS and psychopathology).ResultsThe SD components were not directly connected to the measures of PLEs in both networks. However, in both networks, SD components were connected to PLEs through a mediating effect of AS. Among SD components, humiliation had the highest bridge centrality across three predefined communities of variables (SD; depressive and anxiety symptoms; AS, and PLEs).ConclusionsThe findings indicate that SD might make individuals vulnerable to develop PLEs through the mediating effects of AS. Among SD components, humiliation might play the most important role in the development of PLEs.
Exploring attitudes to generative AI in education for English as an additional language (EAL) adult learners
Authors: Creely Edwin , Barnes Melissa , Tour Ekaterina , Henderson Michael , Waterhouse Peter , Pena Melisa Agudelo , Patel Sweta Vijaykumar 
Published: January 2025

Abstract
This article addresses a critical gap in international research concerning digital literacies and empowerment among adults who are English as an additional language (EAL) learners. In the Australian context, where digital communication and services are embedded in all aspects of life and work, proficiency in digital literacies, including advanced technologies like generative artificial intelligence (AI), is vital for working and living in Australia. Despite the increasing prevalence and significance of generative AI platforms such as ChatGPT, there is a notable absence of dedicated programs to assist EAL learners in understanding and utilising generative AI, potentially impacting their employability and everyday life. This article presents findings from a larger study conducted within training providers, spanning adult educational institutions nationwide. Through analysis of data gathered from surveys and focus groups, the article investigates the knowledge and attitudes of students, educators, and leaders regarding integrating generative AI into the learning program for adult EAL learners. The results reveal a hesitance among educators, particularly concerning beginning language learners, in incorporating generative AI into educational programs. Conversely, many adult learners demonstrate enthusiasm for learning about its potential benefits despite having limited understanding. These disparities underscore the pressing need for comprehensive professional development for educators and program leaders. The findings also highlight the need to develop the AI literacy of learners to foster their understanding and digital empowerment. The article concludes by advocating for a systemic approach to include generative AI as an important part of learning programs with students often from adult migrant and refugee backgrounds.
Quantum internal models for Solvency II and quantitative risk management
Authors: Amjad Muhammad Ahmer 
Published: January 2025

Abstract
This paper extends previous research on using quantum computers for risk management to a substantial, real-world challenge: constructing a quantum internal model for a medium-sized insurance company. Leveraging the author’s extensive experience as the former Head of Internal Model at a prominent UK insurer, we closely examine the practical bottlenecks in developing and maintaining quantum internal models. Our work seeks to determine whether a quadratic speedup, through quantum amplitude estimation can be realised for problems at an industrial scale. It also builds on previous work that explores the application of quantum computing to the problem of asset liability management in an actuarial context. Finally, we identify both the obstacles and the potential opportunities that emerge from applying quantum computing to the field of insurance risk management.
The Effects of Increasing the Coupling Frequency and Considering the Sublayer Temperature on the Simulation by CAS‐ESM2
Authors: Dong Xiao , Guo Run , Jin Jiangbo , Zhang Ze , Zhang He , Chen Shaowen , Zeng Qingcun 
Published: January 2025

AbstractThe diurnal variation in sea surface temperature (SST) plays a critical role in the simulation of oceanic and climate changes. Only increasing the air‐sea coupling frequency from daily to hourly will result in a small SST diurnal amplitude. To accurately simulate this diurnal characteristic, a parameterization scheme for the diagnostic sublayer, which is shallower than the top model layer, and its temperature (sublayer temperature) was applied to models with coarse vertical resolution. In this study, we considered the effect of diurnal variation in SST on the performance of the second version of the Chinese Academy of Sciences Earth System Model (CAS‐ESM2). Upon increasing the coupling frequency (EXP1), the diurnal variation in the global SST was reasonably reproduced with an underestimated amplitude. The observed amplitude was reasonably captured when applying sublayer temperature parameterization (EXP2). We compared these findings to a simulation of no diurnal variation in the SST by focusing on climatology, interannual variation, and ENSO asymmetry in a tropical Pacific region. In EXP1, the climatological mean state bias was not improved, but the discrepancy in the overestimation of interannual variability was largely improved. Compared with EXP1, in EXP2, the climatological cold tongue bias was reduced, and the skewness bias was less underestimated. Both diurnal coupling and the sublayer temperature should be considered to improve the performance of climate models.