bluuebunny/crossref_metadata_2025_split huggingface dataset:
Wie nehmen Arbeitnehmende die Digitale Transformation und ihre Auswirkungen wahr? Validierung eines Messinstruments auf Basis der Theory of the Smart Machine
Authors: Guse Richard , Thiebes Scott , Hennel Phil , Rosenkranz Christoph , Sunyaev Ali 
Published: August 2024

ZusammenfassungDie Digitale Transformation (DT) verändert Organisationen und die Arbeitswelten von Mitarbeitenden fundamental und in praktisch allen Branchen. Zusammenfassend deuten aktuelle Studien darauf hin, dass die DT und ihre Auswirkungen einen erheblichen Einfluss auf die Wahrnehmungen der Arbeitnehmenden haben. Es fehlt jedoch ein umfassendes, detailliertes Verständnis der Faktoren, die bei der Untersuchung von DT und ihren wahrgenommenen Auswirkungen auf individueller Ebene zu berücksichtigen sind. Eine Theorie, die in der Vergangenheit explizit zur Erklärung der DT entwickelt wurde, ist die Theory of the Smart Machine (TSM). Mit der TSM können die Nutzung fortschrittlicher Informationstechnologie (IT) und digitaler Werkzeuge, die daraus resultierende DT und ihre Auswirkungen auf Organisationen und ihre Mitglieder beschrieben und begründet werden. Da bisher nur eine erste Operationalisierung und ein Vorschlag für ein Messinstrument für die TSM existieren, wird die TSM durch die Validierung eines Messinstruments für die Forschung nutzbar gemacht. Es wird über die Evaluierung eines mehrstufigen Messinstruments berichtet, mit dem Schlüsselkonzepte des TSM-Modells insbesondere mit Bezug zu den allgemeinen Bewegungsdynamiken Verfügbarmachung und Verselbstständigung getestet werden können. Dafür wurden 479 Arbeitnehmende aus verschiedenen Branchen befragt, die einschlägige Erfahrungen mit einem digitalen Transformationsprojekt gesammelt haben. Die vorliegende Arbeit leistet dabei drei wichtige Beiträge zur Forschung und Praxis. Erstens wird erstmals ein Instrument zur Messung von Schlüsselkonzepten der TSM validiert. Damit wird die Grundlage für die Untersuchung weiterer Konzepte und Beziehungen im Gesamtmodell gelegt und damit entscheidend die Validierung des gesamten TSM-Modells unterstützt. Zweitens hilft das validierte Messinstrument, verschiedene Wissensbereiche um die DT zu strukturieren, sodass weitere Theorien entwickelt werden können, sowohl auf der Mikroebene (bezogen auf Effekte der DT auf Arbeitnehmende) als auch auf der Mesoebene (bezogen auf Effekte der DT auf Organisationen). Drittens werden Erkenntnisse über relevante Faktoren der DT gewonnen, die von Forschenden und politischen Entscheidungstragenden bei der Untersuchung der DT und ihrer Auswirkungen berücksichtigt werden sollten.
Analyzing Distributed Action in the Making by Comparing Human-Robot Co-Work Scenarios
Authors: Schulz-Schaeffer Ingo , Clausnitzer Tim , Wiggert Kevin , Meister Martin 
Published: August 2024

AbstractThis article presents a methodological approach to analyzing distributed action in the making and applies it to projects of developing human-robot co-work processes. We employ this methodical approach to point out different ways of making robotic labor available for work tasks previously inaccessible to robots. The empirical research was conducted as part of the research project “The social construction of human-robot co-work by means of prototype work settings (SoCoRob)” within the DFG Priority Program 2267 “The digitalization of working worlds. Conceptualizing and capturing a systemic transformation.”
Flavor dependence of unpolarized quark transverse momentum distributions from a global fit
Authors:   The MAP collaboration, Bacchetta Alessandro , Bertone Valerio , Bissolotti Chiara , Bozzi Giuseppe , Cerutti Matteo , Delcarro Filippo , Radici Marco , Rossi Lorenzo , Signori Andrea 
Published: August 2024

Abstract
We present an extraction of the unpolarized transverse-momentum-dependent parton distribution and fragmentation functions that takes into account possible differences between quark flavors and final-state hadrons. The extraction is based on experimental measurements from Drell-Yan processes and semi-inclusive deep-inelastic scattering, whose combination is essential to distinguish flavor differences. The analysis is carried out at N3LL accuracy. The extracted flavor-dependent distributions give a very good description of the data (χ2/Ndat = 1.08). The resulting error bands take fully into account also the uncertainties in the determination of the corresponding collinear distributions.
Classifying post-Minkowskian geometries for gravitational waves via loop-by-loop Baikov
Authors: Frellesvig Hjalte , Morales Roger , Wilhelm Matthias 
Published: August 2024

Abstract
We use the loop-by-loop Baikov representation to investigate the geometries in Feynman integrals contributing to the classical dynamics of a black-hole two-body system in the post-Minkowskian expansion of general relativity. These geometries determine the spaces of functions to which the corresponding Feynman diagrams evaluate. As a proof of principle, we provide a full classification of the geometries appearing up to three loops, i.e. fourth post-Minkowskian order, for all diagrams relevant to the conservative as well as the dissipative dynamics, finding full agreement with the literature. Moreover, we show that the non-planar top topology at four loops, which is the most complicated sector with respect to integration-by-parts identities, has an algebraic leading singularity and thus can only depend on non-trivial geometries through its subsectors.
Higher Order Geometric Algebras and Their Implementations Using Bott Periodicity
Authors: Stodola Marek , Hrdina Jaroslav 
Published: August 2024

AbstractUsing the classification of Clifford algebras and Bott periodicity, we show how higher geometric algebras can be realized as matrices over classical low dimensional geometric algebras. This matrix representation allows us to use standard geometric algebra software packages more easily. As an example, we express the geometric algebra for conics (GAC) as a matrix over the Compass ruler algebra (CRA).
The blistering warfare agent O-mustard (agent T) generates protein-adducts with human serum albumin useful for biomedical verification of exposure and forms intramolecular cross-links
Authors: Blum Marc-Michael , Schmeißer Wolfgang , Dentzel Marina , Thiermann Horst , John Harald 
Published: August 2024

AbstractThe highly blistering sulfur mustard analogue agent T (bis(2-chloroethylthioethyl) ether), also known as O-mustard or oxy-mustard, is a common impurity in military grade sulfur mustard (SM) and a component of mixtures such as “HT” that are still found in old munitions. Together with sesquimustard (Q), it is the most important SM analogue and tightly regulated as a Schedule 1 chemical under the Chemical Weapons Convention. We report the adducts of T with nucleophilic Cys34 and other residues in human serum albumin (HSA) formed in vitro. A micro liquid chromatography electrospray ionization high-resolution tandem-mass spectrometry method (µLC-ESI MS/HR MS) was developed for the detection and identification of biomarker peptides alkylated by a T-derived hydroxyethylthioethyloxyethylthioethyl (HETEOETE)-moiety (as indicated by an asterisk below). Following proteolysis of T-exposed human plasma with pronase, the dipeptide Cys34*Pro and the single amino acid residue His* were produced. The use of proteinase K yielded Cys34*ProPhe and the use of pepsin generated ValThrGlu48*Phe, AlaGlu230*ValSerLysLeu, and LeuGlyMet329*Phe. Corresponding peptide-adducts of SM and Q were detected in a common workflow that in principle allowed the estimation of the mustard or mustard composition encountered during exposure. Novel adducts of Q at the Glu230 and Met239 residues were detected and are reported accordingly. Based on molecular dynamics simulations, we identified regular interactions of the Cys34(-HETEOETE)-moiety with several glutamic acid residues in HSA including Glu86, which is not an obvious interaction partner by visual inspection of the HSA crystal structure. The existence of this and other intramolecular cross-links was experimentally proven for the first time.
Graphical abstract
The Abrolhos Nominally Herbivorous Coral Reef Fish Acanthurus chirurgus, Kyphosus sp., Scarus trispinosus, and Sparisoma axillare Have Similarities in Feeding But Species-Specific Microbiomes
Authors: Thompson Cristiane , Silva Raphael , Gibran Fernando Z. , Bacha Leonardo , de Freitas Mayanne A. M. , Thompson Mateus , Landuci Felipe , Tschoeke Diogo , Zhang Xiao-Hua , Wang Xiaolei , Zhao Wenbin , Gatts Pedro Vianna , de Almeida Marcelo Gomes , de Rezende Carlos Eduardo , Thompson Fabiano 
Published: August 2024

AbstractCoral reefs rely heavily on reef fish for their health, yet overfishing has resulted in their decline, leading to an increase in fast-growing algae and changes in reef ecosystems, a phenomenon described as the phase-shift. A clearer understanding of the intricate interplay between herbivorous, their food, and their gut microbiomes could enhance reef health. This study examines the gut microbiome and isotopic markers (δ13C and δ15N) of four key nominally herbivorous reef fish species (Acanthurus chirurgus, Kyphosus sp., Scarus trispinosus, and Sparisoma axillare) in the Southwestern Atlantic’s Abrolhos Reef systems. Approximately 16.8 million 16S rRNA sequences were produced for the four fish species, with an average of 317,047 ± 57,007 per species. Bacteria such as Proteobacteria, Firmicutes, and Cyanobacteria were prevalent in their microbiomes. These fish show unique microbiomes that result from co-diversification, diet, and restricted movement. Coral-associated bacteria (Endozoicomonas, Rhizobia, and Ruegeria) were found in abundance in the gut contents of the parrotfish species Sc. trispinosus and Sp. axillare. These parrotfishes could aid coral health by disseminating such beneficial bacteria across the reef. Meanwhile, Kyphosus sp. predominantly had Pirellulaceae and Rhodobacteraceae. Four fish species had a diet composed of turf components (filamentous Cyanobacteria) and brown algae (Dictyopteris). They also had similar isotopic niches, suggesting they shared food sources. A significant difference was observed between the isotopic signature of fish muscular gut tissue and gut contents, pointing to the role that host genetics and gut microbes play in differentiating fish tissues.
Understanding How Indigenous Knowledge Contributes to Climate Change Adaptation and Resilience: A Systematic Literature Review
Authors: Dorji Tashi , Rinchen Kinley , Morrison-Saunders Angus , Blake David , Banham Vicki , Pelden Sonam 
Published: August 2024

AbstractClimate change is one of the biggest challenges facing the world today threatening societies and the future of the planet. The impacts of climate change are more severe in poor and marginalised populations like Indigenous communities where people rely heavily on their Indigenous Knowledge (IK) to adapt to the changing environment. Climate change adaptation and resilience are critical for the survival of Indigenous communities under the threat of climate change. This systematic literature review seeks to understand how IK contributes to climate change adaptation and resilience. A total of 71 papers from Scopus were analysed using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) method. It investigated three research questions: (i) How is IK understood in climate change studies? (ii) What kind of IK is used to address climate change and enhance adaptation and resilience? and finally, (iii) What could be done to maximise the use of IK towards enhancing climate adaptation and resilience? The study found that Indigenous people use IK to predict extreme climatic conditions, prepare for it, and live through it making use of Indigenous adaptation strategies in multiple manifestations. The solutions to maximise the benefits of IK promote two dominant themes requiring more research on IK and climate change with diverse focus areas and the need to bridge it with scientific knowledge. This review provides a starting point for such research that will draw upon IK to enhance climate adaptation and resilience towards meaningful sustainable development.
Establishing the cutoff value of near visual acuity for assessment of early presbyopia
Authors: Hanyuda Akiko , Kubota Miyuki , Kubota Shunsuke , Masui Sachiko , Yuki Kenya , Ayaki Masahiko , Negishi Kazuno 
Published: August 2024

Abstract
Purpose
There is limited evidence to evaluate the numerical cutoff point for detecting early presbyopia. Thus, we aimed to establish a clinically relevant optimal cutoff value of near visual acuity for detecting early presbyopia.

Study design
Prospective diagnostic accuracy study.

Methods
We included consecutive individuals aged ≥ 20 years with a binocular-corrected distance visual acuity of ≥ 20/25 who did not undergo ophthalmic surgery between December 17, 2020 and December 19, 2021, at two healthcare facilities in Japan. Binocular distance-corrected near visual acuity at 40 cm, accommodative amplitude, awareness of presbyopia, and Near Activity Visual Questionnaire scores were examined. The optimal cutoff values of distance-corrected near visual acuity for diagnosing early presbyopia were evaluated using receiver operating characteristic plots.

Results
Among 115 participants, 74 (64.3%) had presbyopia. The proportion of participants with no difficulty performing near-vision tasks decreased markedly when near visual acuity decreased to 20/20 (> 0.00 logMAR). A cutoff value of 0.00 logMAR for distance-corrected near visual acuity was optimal, showing high sensitivity of 56.76% and specificity of 92.68%, as opposed to the commonly used cutoff value of 0.40 logMAR (20/50; sensitivity, 9.46% and specificity, 100%) for diagnosing early presbyopia.

Conclusion
Near visual acuity of 0.00 logMAR (20/20) could be the optimal cutoff value for diagnosing early presbyopia.
Determinants of trajectories of informal caregiving in later life: evidence from England
Authors: Di Gessa Giorgio , Deindl Christian 
Published: August 2024

AbstractAlthough the long-term consequences of informal care provision have been well investigated, few studies have examined the trajectories of informal care provision among older people and the socioeconomic, demographic, health, and family characteristics associated with them. We use data from four waves of the English Longitudinal Study of Ageing, with 6561 respondents followed for 6 years (2012/3–2018/9). We used group-based trajectory modelling to group people's provision of care over time into a finite number of distinct trajectories of caregiving. Using multinomial logistic regressions, we then investigated the characteristics associated with these trajectories. Four distinct trajectories of caregiving were identified: “stable intensive”, “increasing intensive”, “decreasing”, and “stable no care”. Results suggest that although there are socioeconomic, demographic, and health differences across the trajectories of caregiving (with younger women in good health and poorer socioeconomic status more likely to care intensively throughout), family characteristics are their main drivers. Respondents who live alone, with no children, and no parents alive are more likely to never provide care, whereas those with older parents and who live with adults in poor health are more likely to provide stable intensive care. Also, changes in family characteristics (e.g. death of parents, widowhood, or deterioration of the partner’s health) are associated with trajectories representing increases or decreases in caregiving over time. Overall, trajectories of informal caregiving undertaken by older people are varied and these patterns are mostly associated with both the availability and health of family members, suggesting that need factors represent the most immediate reason for caregiving commitments.
How Classical, Paracomplete and Paraconsistent Logicians (Dis-)Agree
Authors: Brendel Elke 
Published: August 2024

AbstractThis paper develops an account of disagreement and agreement in logic in terms of rules of acceptance, rejection, and suspension of judgement. Acceptance, rejection, and suspension in logic are thereby taken to be doxastic attitudes resulting from, respectively, assenting, dissenting, or refraining from assenting and dissenting to arguments or propositions in light of their logical validity/invalidity. Disagreement between advocates of different logics is characterized as a form of doxastic noncotenability. A full account of agreement in logic does not only require doxastic cotenability between two logicians. It is also necessary that they share the reasons that ground their respective doxastic attitudes. These notions of disagreement and agreement will be applied to disagreements/agreements between advocates of three different logical systems: classical logic, the paracomplete logic K3, and the paraconsistent logic LP. In particular, it will be discussed which doxastic attitudes those logicians ought to have with regard to a proposition expressed by the Liar sentence. In the last part of the paper, it will be examined in what sense a disagreement in logic can be understood as a genuine disagreement, even if no single neutral intertheoretic concept of validity is available that is shared by all logicians.
Assessing biological invasion predatory impacts through interaction strengths and morphological trophic profiling
Authors: Mpanza Nobuhle P. , Cuthbert Ross N. , Pegg Josephine , Wasserman Ryan J. 
Published: August 2024

AbstractBiological invasions are a major stressor on ecosystems worldwide, but tools to predict their predatory impact remain limited. Here, we quantified invader impacts using two complementary approaches: functional responses (to reveal per capita and multiple predator interaction strengths) and ecomorphology (to reveal trophic profiles and competitive overlap). We compared Mozambique tilapia Oreochromis mossambicus, a native southern African cichlid, and a near-trophically analogous invasive congener, the Nile tilapia Oreochromis niloticus. Both Nile tilapia and Mozambique tilapia exhibited a potentially prey population destabilizing Type II functional response. In both single and multiple predator pairings, invasive Nile tilapia had significantly greater prey consumption rates than native Mozambique tilapia, and thereby a greater predatory impact than its native congeneric. Attack rates were greater for Nile tilapia than Mozambique tilapia, with both species showing more similar handling times and maximum feeding rates. No evidence for multiple predator effects was detected within or between these species, and therefore impacts of both species increased additively in the presence of conspecific or heterospecific competitors. Morphological trait analyses found general differences between these two species, with the invasive Nile tilapia having distinctively larger lower jaw closing force, gill resistance and gill raker length, which facilitated greater feeding capacities over the native species. Trophic profiles predicted using morphological trait differences showed high dietary overlap and served as evidence for potential exploitative competition between the two species. These results reveal superior interaction strengths and ecomorphological trait profiles of an invasive over native species which could influence impact and native species replacement dynamics. Novel applications of functional response and ecomorphology provide complementary insights into predatory and competitive impacts from invasive species, aiding impact prediction across environmental contexts.
Overcoming diagnostic challenges in constrictive pericarditis: why volume is important?
Authors: Teixeira Bárbara Lacerda , Albuquerque Francisco , Cardoso Isabel , Ferreira Vera , Fiarresga António , Cardoso Filipe , Galrinho Ana , Rosa Sílvia Aguiar , Thomas Boban , Ferreira Rui Cruz 
Published: August 2024

Abstract
A 65-year-old male with chronic liver disease and refractory ascites was being evaluated for liver transplant, when constrictive pericarditis (CP) was suspected. Initial diagnostics were inconclusive due to overdiuresis. After suspension of diuretics, cardiac magnetic resonance confirmed CP, leading to successful pericardiectomy and normalization of liver function, emphasizing volume status and multimodality imaging role in CP diagnosis.
Behavioral and Emotional Responding to Punishment in ADHD: Is Increased Emotionality Related to Altered Behavioral Responding?
Authors: Hulsbosch An-Katrien , Alsop Brent , Danckaerts Marina , Van Liefferinge Dagmar , Tripp Gail , Van der Oord Saskia 
Published: August 2024

AbstractChildren with ADHD are theorized to experience increased negative emotional responses to punishment, compared to typically developing (TD) children, resulting in altered behavioral responding (Amsel, 1992). However, this has not been empirically tested. The current study evaluated the effects of punishment and reward on the behavioral and emotional responding of children with and without ADHD. Fifty-three children with ADHD (64.15% boys) and 46 TD children (47.83% boys), age 6–12, completed a task in which they chose between playing two simultaneously available games. Reward was arranged symmetrically across the games; responses on one game were punished four times as often as responses on the other game. Children’s negative and positive emotional expressions were assessed during task completion with facial expression coding. Results indicated both groups showed a preference for playing the less punished game. Children with ADHD took longer to respond after punishment and reward compared to TD children. Negative emotional expressions increased with time on task for those with ADHD, the opposite pattern was seen in TD children. Children with ADHD showed more positive emotional expressions overall. The effect of ADHD on increased response times after reward was statistically fully mediated by increased positive facial expressions. Findings indicate children with ADHD do not show an altered response bias under punishment compared to TD children, but their cumulative negative emotional responding may indicate problems with building frustration tolerance as hypothesized by Amsel (1992). Results are theoretically important as they suggest increased emotional responding in ADHD is associated with slower responding.
Machine learning approaches to predict the execution time of the meteorological simulation software COSMO
Authors: De Filippo Allegra , Di Giacomo Emanuele , Borghesi Andrea 
Published: August 2024

AbstractPredicting the execution time of weather forecast models is a complex task, since these models are usually performed on High Performance Computing systems that require large computing capabilities. Indeed, a reliable prediction can imply several benefits, by allowing for an improved planning of the model execution, a better allocation of available resources, and the identification of possible anomalies. However, to make such predictions is usually hard, since there is a scarcity of datasets that benchmark the existing meteorological simulation models. In this work, we focus on the runtime predictions of the execution of the COSMO (COnsortium for SMall-scale MOdeling) weather forecasting model used at the Hydro-Meteo-Climate Structure of the Regional Agency for the Environment and Energy Prevention Emilia-Romagna. We show how a plethora of Machine Learning approaches can obtain accurate runtime predictions of this complex model, by designing a new well-defined benchmark for this application task. Indeed, our contribution is twofold: 1) the creation of a large public dataset reporting the runtime of COSMO run under a variety of different configurations; 2) a comparative study of ML models, which greatly outperform the current state-of-practice used by the domain experts. This data collection represents an essential initial benchmark for this application field, and a useful resource for analyzing the model performance: better accuracy in runtime predictions could help facility owners to improve job scheduling and resource allocation of the entire system; while for a final user, a posteriori analysis could help to identify anomalous runs.