bluuebunny/crossref_metadata_2025_split huggingface dataset:
Childhood adversities and home atmosphere as determinants of resilience in old age: findings from the Helsinki birth cohort study
Authors: Siltanen Sini , Pynnönen Katja , Stenroth Sini M. , Kokko Katja , Haapanen Markus J. , Wasenius Niko S. , Laine Merja K. , Mikkola Tuija M. , Eriksson Johan G. , von Bonsdorff Mikaela B. 
Published: February 2025

Abstract
Early life stress has far-reaching effects on various aspects of well-being in later life, but whether it impacts resilience, i.e., the ability to tolerate hardship, in old age remains unclear. We investigated whether childhood adversities and childhood home atmosphere are associated with resilience in old age directly or indirectly through poorer physical and psychological functioning in late middle age. The data comprised 1176 persons born in 1934–1944 and were collected over a 17-year follow-up in 2001–2018. Childhood adversities (greater score indicates more adversities) and home atmosphere (greater score indicates better atmosphere) were assessed retrospectively. Resilience in old age was measured with the Hardy-Gill Resilience Scale, depressive symptoms in late middle age with the Beck Depression Inventory, and hand grip strength in late middle age with a dynamometer. Data were analyzed with path modeling with depressive symptoms and grip strength set as mediators. We found that a greater number of childhood adversities and a poorer home atmosphere were associated with poorer resilience in old age (β =  − .13; p < .001 and β = .11, p < .001, respectively). These associations were fully mediated by depressive symptoms, but not hand grip strength, in late middle age. The findings indicate that adverse childhood exposures may decrease psychological functioning in middle age, and subsequently, lessen resilience in old age. Future studies should assess whether this pathway can be intervened.
The effect of web 2.0 tools on primary school students’ writing motivation and their role in developing creative writing skills
Authors: KIZILTAŞ Yusuf , KULTAS Emrah 
Published: February 2025

Abstract
Web 2.0 tools for teaching purposes in schools are quite common. With Web 2.0 tools, students have the opportunity to both have fun and learn. Thus, students’ willingness and motivation towards writing increases. Students whose writing motivation increases can write creatively in the process. The main purpose of this research is to reveal the effects of Web 2.0 tools on primary school students’ writing motivation and their role in developing their creative writing skills. For these purposes, a quasi-experimental design model with a pretest-posttest control group was applied in the current study. Storyboard That and Storyjumper Web 2.0 tools were used in the research. During the research, creative writing activities were carried out in digital environments in the experimental group. In contrast, creative writing activities were carried out with paper and pencil in the control group. The research revealed that Web 2.0 tools improved creative writing skills. In addition, there was a significant difference in students’ post-test scores and writing motivation compared to the pre-test. It was concluded that Web 2.0 tools were effective in writing motivation. The development of students’ creative writing skills was another important result.
Hyperdeterminism? Spacetime ‘Analyzed’
Authors: Chen Lu , Fritz Tobias 
Published: February 2025

Abstract
When modelling spacetime and classical physical fields, one typically assumes smoothness (infinite differentiability). But this assumption and its philosophical implications have not been sufficiently scrutinized. For example, we can appeal to analytic functions instead, which are also often used by physicists. Doing so leads to very different philosophical interpretations of a theory. For instance, our world would be ‘hyperdeterministic’ with analytic functions, in the sense that every field configuration is uniquely determined by its restriction to an arbitrarily small region. Relatedly, the hole argument of general relativity does not get off the ground. We argue that such an appeal to analytic functions is technically feasible and, conceptually, not obviously objectionable. The moral is to warn against rushing to draw philosophical conclusions from physical theories, given their drastic sensitivity to mathematical formalisms.
Enhancing Trustworthiness in Real Time Single Object Detection
Authors: Tarkasis Konstantinos , Kaparis Konstantinos , Georgiou Andreas C. 
Published: February 2025

Abstract
We propose a method for the dynamic evaluation of the output provided by any Real Time Object Detection Algorithm. This work focuses on single object detection from video streams and the main objective is the enhancement of the process with regard to its so-called trustworthiness based on the spatial consideration of the sequence of video frames that are fed as inputs on a Convolutional Neural Network (CNN). To this end, we propose a method that systematically tests the differences between the consecutive values returned by the employed neural network. The process identifies patterns that flag potential false positive predictions based on classic similarity metrics and evaluates the quality of the CNN results in a methodologically agnostic fashion. An extended computational illustration demonstrates the effectiveness and the potentials of the proposed approach.
Influence of pre-service primary school teachers’ prior knowledge of measurement and measurement estimation in solving modelling problems
Authors: Segura C. , Gallart C. , Ferrando I. 
Published: February 2025

Abstract
Modelling is an important mathematical competence in many curricula worldwide, in Secondary education but even in Primary Education. Fermi problems (FPs) are suitable activities for introducing mathematical modelling in Primary Education, as they present a real situation, without data, and ask for an estimate of an unattainable quantity. However, implementing such tasks is challenging for primary school teachers, partly due to some gaps in modelling-specific teacher knowledge. Previous studies show a relationship between pre-service teachers’ performance and flexibility in solving FPs. Still, the impact of other factors that may affect performance, particularly prior knowledge of measurement and measurement estimation (M&ME), has not been studied. We aim to characterise pre-service teachers’ prior M&ME knowledge and to find out what are the relationships between this knowledge, flexibility and performance in solving FPss. To address this, we present the design and validation of a test on M&ME knowledge that pre-service teachers (PSTs) subsequently took. A cluster analysis based on their answers allowed us to characterise three levels of prior knowledge. In addition, PSTs’ flexibility and performance in solving a sequence of FPs was analysed, finding that there are significant differences in performance according to their level of prior M&ME knowledge. However, prior knowledge does not influence flexibility. We further find that PSTs’ flexibility and prior M&ME knowledge explain an important part of their performance in solving FPs. The results may help to improve PSTs’ instruction on modelling problem-solving.
Top-Down and Bottom-Up Work Design: A Multilevel Perspective on How Job Crafting and Work Characteristics Interrelate
Authors: Parker Sharon K. , Tims Maria , Sonnentag Sabine 
Published: February 2025

Abstract
To date, there is surprisingly little empirical attention investigating how job crafting and work characteristics influence each other over time. But this matters because we know how powerful both work characteristics and the process of job crafting can be for important outcomes like job performance, engagement, and burnout. We propose a multilevel approach to understanding the interlinking of job crafting behaviors and cognitions with work characteristics. Specifically, we suggest that work characteristics operate in a top-down process to constrain or enable job crafting behaviors and cognitions, whereas job crafting behaviors and cognitions emerge over time via a bottom-up process to achieve a change in work characteristics. We review existing empirical evidence on these pathways but, since such research is scarce, we focus especially on identifying unanswered questions and future directions. To conclude, we recommend ways that these processes might be empirically captured, and advocate for attention to the possibility of virtuous spirals, or debilitating negative spirals, of these two powerful sets of variables.
Integrating mechanistic models of landscape change and animal behavior to measure functional connectivity
Authors: Day Casey C. , Zollner Patrick A. , Gilbert Jonathan H. , Gustafson Eric J. 
Published: February 2025

Abstract

Context
As land-use change and climate change transform landscapes globally, increases in habitat fragmentation and shifts in habitat composition present challenges for the conservation of wildlife. Behavioral approaches to landscape ecology can explore how animal movement across complex landscapes can drive ecological processes like functional connectivity. By integrating mechanisms that link landscape change to animal behavior, simulation models can project how individuals and populations will respond to novel landscapes.

Objectives
To understand how dispersal behavior and functional connectivity between populations of American martens respond to changes to the landscape due to land-use and climate. We also seek to demonstrate the explanatory power of integrating mechanistic models of landscape transformation and animal dispersal.

Methods
We present a novel investigation of behavioral responses to land-use and climate change by linking a landscape-level simulation of forest succession (LANDIS-II) with an individual-based model of animal behavior (SEARCH).

Results
Climate change caused an increase in suitable cover types for martens, but forest diversity is likely to decline. Both land-use and climate change impacted dispersal behavior of martens and functional connectivity between populations. These effects were not consistent across simulations, as dispersal behavior and success were affected by the direction of dispersal (i.e., source population) due to asymmetry in landscape configuration and its interaction with climate and land-use change.

Conclusions
This study demonstrates how the integration of behavioral and landscape models can inform conservation in ways that classical modeling cannot and how the use of mechanistic simulation models can produce robust projections about species responses to novel conservation challenges in an uncertain future.
UAV hyperspectral-thermal-lidar fusion in phenotyping: genetic trait differences among Fremont cottonwood populations
Authors: Sankey Temuulen Tsagaan 
Published: February 2025

Abstract

Context
Climate change is causing landscape shifts and locally-adapted plants are becoming increasingly maladapted. As a foundation species, Fremont cottonwood facilitates adaptation to changing climate for the whole community. Populations within this species, however, have varying adaptive responses and facilitative capacity due to genetic variation. It is important to identify these differences to inform landscape restoration and management.

Objectives
UAV hyperspectral, thermal, and lidar images might reveal genetic trait differences within a single tree species. This study tests and demonstrates: (1) UAV hyperspectral images in detecting differences among populations in canopy leaf area, water content, carbon, and nitrogen content as indicators of population-level productivity, fitness, adaptability, and biodiversity they can support, and (2) UAV hyperspectral-thermal-lidar fusion in detecting and classifying 16 populations sourced from different environments across Arizona, USA.

Methods
UAV hyperspectral, thermal, and lidar images were acquired from a common garden with 16 different Fremont cottonwood populations growing together. The UAV hyperspectral image was used to calculate spectral indices for canopy leaf area (LAI), canopy water content, nitrogen, carbon, and carbon-to-nitrogen ratio (C:N). The hyperspectral indices (EVI, LAI, PRI, MSI, NDWI, NDNI, NDLI, and C:N) were also examined with the UAV thermal image-derived canopy temperature data for potential correlations. Finally, all hyperspectral bands (n = 487 bands), thermal image-derived canopy temperature, and lidar-derived maximum canopy height estimates were stacked into a single image and then classified to detect 16 different populations of Fremont cottonwood using a random forest classification.

Results
The UAV hyperspectral indices and canopy temperature were significantly different among populations suggesting that the productivity, fitness, and adaptability of varying populations are significantly different. Many of the UAV hyperspectral indices were strongly correlated with canopy temperature. Populations with greater canopy cover, lower canopy temperature, and greater canopy height were well detected in the UAV hyperspectral-thermal-lidar fusion-based classification (producer’s accuracies of > 75%), whereas populations at low abundance were poorly classified (producer’s accuracies of < 41–65%).

Conclusions
This study demonstrates the first application of UAV hyperspectral-thermal-lidar data fusion in phenotyping. The machine learning-based classification detects various populations within a single tree species. Future studies can use similar UAV data sources, derived variables, and data fusion to detect populations that have better fitness and adaptability to changing environments. Such populations can be strategically managed to sustain healthy landscapes that support diverse communities and species.
Creditor control rights and executive bonus plans
Authors: Armstrong Christopher S. , Kepler John D. , Kim Chongho , Tsui David 
Published: February 2025

Abstract
We study the extent to which creditors shape the executive bonus plans of their financially distressed borrowers. Financial distress can exacerbate agency conflicts between creditors and borrowers as concerns with underinvestment become more acute due to managerial myopia and debt overhang. Consequently, we expect creditors to exert their influence to ensure that these managers’ incentive-compensation plans encourage longer-term investments and directly reward outcomes that benefit creditors without exposing managers to unnecessary risk. We argue that bonus plans are an especially important way to provide these incentives because their flexibility allows creditors to more precisely target specific investment objectives. We find that borrowers’ bonus plans tend to have longer horizons and more convex payouts following covenant violations, especially when bonus plans can be a particularly effective way to address distress-related agency conflicts. Our evidence suggests that creditors protect their interests by exercising their control rights to shape their borrowers’ incentive-compensation plans.
High-leverage sociological concepts and the progress of theory, part one
Authors: Brint Steven 
Published: February 2025

Abstract
Sociological theory, as represented in the two main U.S. theory journals, has been diverted from the project of generalized explanation by a propensity for over-refinement, a preference for small-scale conceptual innovations linked to specific and sometimes quite obscure cases, a tendency to focus on heroes of theory rather than their generalizable ideas, and too much attention to the flux and instability of social life. These conclusions are based on a content analysis of 445 journal articles over a recent 11-year period. As an alternative, I propose focusing on high-leverage sociological concepts, those that have explanatory power across multiple settings, subfields, and levels of analysis, as well as the variables that are most important for conditioning their explanatory force. I connect the project with a recessive theme in the work of the mid-20th century sociologist and theorist Robert K. Merton.
“A Recipe for Disaster?”: Female-Breadwinner Relationships Threaten Heterosexual Scripts
Authors: Fisher Alexandra N. , Stinson Danu Anthony , Kalajdzic Anastasija , Dupuis Hannah E. , Lowey Erin E. , Desgrosseilliers Elysia , MacIntosh Annie 
Published: February 2025

Abstract
Female breadwinner relationships (FBRs) occur when a woman earns more money than her male romantic partner. In four studies, we used diverse methods to document the threat that FBRs pose to heterosexual scripts (i.e., social conventions for heterosexual romance). First, a reflexive thematic analysis of 94 newspaper and magazine articles about FBRs identified themes concerning social stigma and feelings of gender threat (i.e., co-occurring feelings of gender nonconformity and inadequacy) that undermine well-being for FBRs, alongside themes concerning hope for a more egalitarian future. Next, two pre-registered experiments (Ns = 880 and 1612) revealed stigmatizing attitudes towards FBRs, which were perceived to be less desirable, worse quality, and less stable than male-breadwinner relationships. Finally, a cross-sectional study of married women and men (N = 511) affirmed that feelings of gender threat partially explained FBRs’ poor relationship outcomes. Across all four studies, and consistent with theories of fragile masculinity, men suffered worse gender threat than women in FBRs. These findings offer novel insight into heterosexual scripts and the punishing social consequences for people who violate those scripts and suggest that social stigma about FBRs may pose a barrier to gender equality in close relationships and in society.
Does the CAPM drive misvaluations in M&As?
Authors: Hark Paul F. , Schneider Christoph 
Published: February 2025

Abstract
This paper confirms the positive empirical relationship between CAPM-implied target asset betas and bidder announcement returns originally documented by Dessaint et al. (Rev Financ Stud 34(1):1–66, 2021) for U.S. takeover bids. We successfully replicate the main regression results qualitatively for the original and an extended sample period. However, the relationship is statistically insignificant in the European market for corporate control, although it appears to be economically meaningful. Additional tests indicate that bidder announcement returns are only related to target asset betas during merger waves and in horizontal mergers and acquisitions. These findings suggest that the relationship between target asset betas and bidder announcement returns is not driven by a CAPM-induced misvaluation of target firms. Therefore, recommendations to abandon the CAPM for capital budgeting decisions do not seem warranted.
Anti-inflammatory Therapies for Ischemic Heart Disease
Authors: Muhs Tillmann , Ljubojevic-Holzer Senka , Sattler Susanne 
Published: February 2025

Abstract

Purpose of Review
The inclusion of immunomodulatory strategies as supportive therapies in ischemic heart disease (IHD) has garnered significant support over recent years. Several such approaches appear to be unified through their ultimate target, the NLRP3 inflammasome. This review presents a brief update on immunomodulatory strategies in the continuum of conditions constituting ischemic heart disease and emphasising on the seemingly unifying mechanism of NLRP3 activation as well as modulation across these conditions.

Recent Findings
The NLRP3 inflammasome is a multiprotein complex assembled upon inflammatory stimulation, causing the release of pro-inflammatory cytokines and initiating pyroptosis. The NLRP3 pathway is relevant in inflammatory signalling of cardiac immune cells as well as non-immune cells in the myocardium, including cardiomyocytes, fibroblasts and endothelial cells. In addition to a focus on clinical outcome and efficacy trials of targeting NLRP3-related pathways, the potential connection between immunomodulation in cardiology and the NLRP3 pathway is currently being explored in preclinical trials. Colchicine, cytokine-based approaches and SGLT2 inhibitors have emerged as promising agents. However, the conditions comprising IHD including atherosclerosis, coronary artery disease (CAD), myocardial infarction (MI) and ischemic cardiomyopathy/heart failure (iCMP/HF) are not equally amenable to immunomodulation with the respective drugs. Atherosclerosis, coronary artery disease and ischemic cardiomyopathy are affected by chronic inflammation, but the immunomodulatory approach to acute inflammation in the post-MI setting remains a pharmacological challenge, as detrimental and regenerative effects of myocardial inflammation are initiated in unison.

Summary
The NLRP3 inflammasome lies at the center of cell mediated inflammation in IHD. Recent trial evidence has highlighted anti-inflammatory effects of colchicine, interleukin-based therapy as well as SGLT2i in IHD and that the respective drugs modulate the NLRP3 inflammasome.
An Overview of Prosopagnosia as a Symptom of Migraine: A Literature Review
Authors: Ley Sidney 
Published: February 2025

Abstract

Purpose of Review
Prosopagnosia is a neurological phenotype, characterized by the inability to recognize faces, typically resulting from damage or dysfunction in specific brain regions such as the fusiform gyrus. In contrast, migraine is a disease process, a complex neurological disorder with a range of symptoms including severe headache and visual disturbances.

Recent Findings
The brain regions involved in migraine and prosopagnosia are located in close proximity to each other, and perhaps as an unsurprising yet rarely reported result of this, there have been several cases of migraineurs, the majority presenting with aura, who manifested prosopagnosia as a symptom during an attack. While rarely reported, the fact that prosopagnosia can occasionally manifest during migraine episodes, particularly during the aura phase, emphasizes the importance of exploring the cortical processes involved in both conditions.

Summary
This review discusses migraine and prosopagnosia in the context of comorbidity, explores and summarizes current and key historical knowledge on the reported occurrences of prosopagnosia manifesting as a symptom of migraine, and emphasizes the importance of reporting this phenomenon.
Negative Validity Test Results are Overlooked in Feigning Determinations
Authors: Niesten Isabella J. M. , Faber Nathalie , Papenfuss Marie , Fuermaier Anselm B. M. 
Published: February 2025

Abstract
The present study examined whether antisocial personality features in a case vignette raise initial suspicion of feigning and serve as an anchor so that subsequent corrective information is not integrated into the final conclusion. Psychologists (N = 106) were randomly allocated to an antisocial, hysterical, or neutral case vignette. In consecutive steps, they received new information, including corrective information in the form of passes on Symptom Validity Tests (SVTs) and Performance Validity Tests (PVTs). Right after the case vignette and each step, they rated the likelihood of feigning and their confidence in this judgment. Finally, participants indicated whether they would mention suspicion of feigning in their report. Our main findings show that baseline likelihood estimates of feigning were elevated across conditions and were higher for the antisocial case vignette than the neutral but not the hysterical case vignette. Furthermore, regardless of case vignette, psychologists did not adjust initial estimates to a meaningful degree in response to SVT/PVT passes. The proportion of psychologists endorsing suspicion of feigning in their report was comparable across conditions, with 58% of the sample endorsing this option. Taken together, although psychologists’ initial likelihood estimates of feigning may be slightly elevated in cases in which the patient fits an antisocial typology, our findings more so suggest that psychologists have a tendency to anchor subsequent estimates to their first judgment. Additionally, psychologists’ failure to integrate SVT/PVT passes into their judgment may indicate insufficient knowledge about the informational value of such scores, an issue that may be countered with education and training.