bluuebunny/crossref_metadata_2025_split huggingface dataset:
Climate-weather interactions modulating tropical cyclones over the Mascarene Islands 2000–2024
Authors: Jury Mark R 
Published: January 2025

Abstract
Tropical cyclones (TC) over the Mascarene Islands of the south-west Indian Ocean have been studied using meteorological reanalysis, satellite observations and local measurements in December to March season in the period 2000–2024. An innovative methodology was employed to create an index of TC impacts: multiplying the daily maximum wind and standardized maximum rainfall within the area 19–22 S, 54.5-58.5E, then summing to monthly interval above a threshold of 50. This time series was regressed onto a variety of fields in the Dec-Mar season to determine how climate-weather interactions modulate TCs near the islands of Mauritius and Reunion. The results highlight the importance of outflow from east Africa that passes northern Madagascar and generates cyclonic vorticity. Statistical links with Pacific El Nino Southern Oscillation and the Indian Ocean Dipole were weak but offer an advance warning of risk. Global regression maps show an inter-hemispheric dipole in SST and upper-level geopotential height (warm and high to south), associated with a zonal overturning circulation during austral summers with greater TC impacts in the Mascarene Islands. Trends over the longer period 1980–2024 were mapped to identify warming and moistening in the Mascarene area, and low level northwesterlies in the equatorial belt. The case of TC Dina 22 Jan 2002 was analyzed for meteorological structure and impacts, to place the statistical results in local context.
The association between maternal diabetes and the risk of attention deficit hyperactivity disorder in offspring: an updated systematic review and meta-analysis
Authors: Damtie Yitayish , Dachew Berihun Assefa , Ayano Getinet , Tadesse Abay Woday , Betts Kim , Alati Rosa 
Published: January 2025

Abstract
Mixed results have been reported regarding the link between different types of maternal diabetes and attention deficit hyperactivity disorder (ADHD) in offspring. Hence, we conducted a systematic review and meta-analysis to explore these associations. Relevant studies on the subject were retrieved from six major databases, including PubMed, Medline, Embase, Scopus, CINAHL, and PsychINFO. The methodological quality of the included studies was evaluated using the Newcastle-Ottawa Scale, and between-study heterogeneity was assessed using the I2 statistic. Subgroup, sensitivity, and meta-regression analyses were conducted to identify the sources of heterogeneity between studies. In total, seventeen observational studies (five case-control and twelve cohort studies) with 18,063,336 study participants were included in the final analysis. Our random-effects meta-analysis revealed that exposure to any form of maternal diabetes was associated with an increased risk of ADHD in children. Specifically, we observed a heightened risk of ADHD in children exposed to gestational diabetes mellitus, any pre-existing diabetes, pre-existing type 1 diabetes mellitus, and type 2 diabetes mellitus. Our study suggests that children exposed to diabetes during prenatal development are at a higher risk of developing ADHD. These findings underscore the critical importance of early screening and timely interventions for exposed offspring.
Valuation Driven Innovation
Authors: Li Keming 
Published: January 2025

Abstract
This paper examines whether and how market valuation influences firm innovation, using an ex ante valuation measure that filters firm size and growth prospects from tangible investment. Specifically, by utilizing the National Bureau of Economic Research (NBER) patent database, I find that firms with high market valuations generate more innovative outputs, as measured by the number of patents and patent citations. Causality is established using mutual fund flows as an exogenous shock, demonstrating a strong effect of market valuation on firm innovation. Consistent with the idea that managers take advantage of irrationally low discount rates by issuing equity and investing the proceeds, these results are more pronounced among firms with high financial constraints and overvaluation. The sensitivity of innovative output to market valuation varies with equity market timing and sentiment, but is not affected by whether or not firms are issuing equity.
Uniform Differential Item Functioning Across Gender, Grade Level and Racial Groups: A MIMIC Investigation of the Non-clinical Parent Ratings of the Pediatric Symptom Checklist-17
Authors: Gao Ruiqin , Distefano Christine , Liu Jin , Jiang Ning , Greer Fred , Dowdy Erin 
Published: January 2025

Abstract
The Pediatric Symptom Checklist-17 (PSC-17) is a screening instrument designed to measure children’s behavioral and emotional problems. This study investigated the factor structure of the PSC-17 and the uniform differential item functioning (DIF) of the PSC-17 item scores as a function of school children’s gender, grade level, and racial/ethnic groups. Parent ratings of 1,305 children from pre-K to Grade 1 were used. Confirmatory factor analysis (CFA) of the scale’s factor structure indicated that parent ratings of PSC-17 were composed of three subscales: Externalizing Problems, Internalizing Problems, and Attention Problems. A multiple indicators multiple causes (MIMIC) analysis results showed that four of the PSC-17 items exhibited statistically uniform DIF as a function of race/ethnicity but not as a function of gender or grade level. Uniform DIF had little impact on latent mean differences of Internalizing, Attention, and Externalizing Problems among gender, race/ethnicity, and grade-level groups. This study’s results implied that teachers or schools should be cautious with comparing racial/ethnic groups at the item level. However, they can compare children’s subscale scores across gender, race/ethnicity, and grade levels with parent ratings of the PSC-17.
Conic relaxations for conic minimax convex polynomial programs with extensions and applications
Authors: Doan Chuong Thai , Vicente-Pérez José 
Published: January 2025

Abstract
In this paper, we analyze conic minimax convex polynomial optimization problems. Under a suitable regularity condition, an exact conic programming relaxation is established based on a positivity characterization of a max function over a conic convex system. Further, we consider a general conic minimax

$$\rho $$

ρ

-convex polynomial optimization problem, which is defined by appropriately extending the notion of conic convexity of a vector-valued mapping. For this problem, it is shown that a Karush-Kuhn-Tucker condition at a global minimizer is necessary and sufficient for ensuring an exact relaxation with attainment of the conic programming relaxation. The exact conic programming relaxations are applied to SOS-convex polynomial programs, where appropriate choices of the data allow the associated conic programming relaxation to be reformulated as a semidefinite programming problem. In this way, we can further elaborate the obtained results for other special settings including conic robust SOS-convex polynomial problems and difference of SOS-convex polynomial programs.
Investigations of warped product manifolds through the concircular curvature tensor with relativistic applications
Authors: Syied Abdallah Abdelhameed , Neacşu Crina Daniela , Bin Turki Nasser , Vîlcu Gabriel-Eduard 
Published: January 2025

Abstract
This article focuses on characterizing warped product manifolds through the flatness and the symmetry of the concircular curvature tensor. It is proved that the factor manifolds of a concircularly-flat warped product manifold have constant sectional curvatures as well as they are concircularly-flat. It is shown that in a concircularly-symmetric warped product manifold, the fiber manifold has constant sectional curvature and it is concircularly-flat, while the base manifold is locally-symmetric and concircularly-symmetric. It is demonstrated that a concircularly-flat (symmetric) GRW space-time is perfect fluid and static. Finally, it is established that in a concircularly-flat (symmetric) F-associated standard static space-time, the base manifold has constant sectional curvature and it is concircularly-flat, while the fiber manifold is locally-symmetric and concircularly-symmetric.
Everything under control? Daily dynamics of self-control and emotion regulation
Authors: van den Bekerom Loes , Donker Monika H. , Mainhard Tim , Evers Catharine 
Published: January 2025

Abstract
As emotions may hinder goal pursuit, regulating them is important. Although the relationship between self-control and emotion regulation has mainly been investigated on a dispositional level, the engagement in self-control and emotion regulation fluctuates across situations. Research on how and to what extent self-control and emotion regulation impact one another within individuals over time is scarce. In the present study, we investigated the within-person reciprocal relationships between momentary self-control and the emotion regulation strategies reappraisal and suppression. Ecological momentary assessment was employed to collect diary data five times a day over four days using repeated, short measures of emotions, self-control, reappraisal, and suppression. Using Dynamic Structural Equation Modeling (DSEM) of data from 1874 assessments provided by 111 participants, results showed that the relationship between self-control and the emotion regulation strategies reappraisal and suppression is reciprocal within persons over time. Momentary suppression related to lower levels of momentary self-control later on, and self-control, in turn, was positively associated with the employment of subsequent reappraisal. Findings are discussed in light of the importance of self-control in dealing with emotions that impede goal pursuit, and the contextual importance of this relationship. Overall, this study adds to the question how emotion regulation and self-control are intertwined on a within-person level and provides insight into how people could deal with their emotional experiences to achieve their long-term goals.
Philosophy and prehistory: new perspectives on minds, art, and culture
Authors: van Mazijk Corijn , Killin Anton , Overmann Karenleigh A. 
Published: January 2025

Abstract
This article introduces the special issue “Philosophy and Prehistory: New Perspectives on Minds, Art, and Culture.” The primary motivation for the issue was to create a space where philosophy and evolutionary cognitive archaeology could intersect. We wanted to encourage cognitive archaeologists to reflect on their field from a philosophical perspective, and philosophers to consider key methodological, theoretical, or conceptual issues in evolutionary cognitive archaeology. We thereby aimed to bridge a perceived gap between philosophical and scientific research on prehistory, and to explore how these fields might complement each other. Our contributors relied on a variety of philosophical frameworks, including phenomenology, analytic philosophy, 4E cognition, and Material Engagement Theory. In this introduction, we reflect briefly on all fourteen contributions, and identify some common themes and points of complementarity. By bringing these perspectives together, we hope to inspire further philosophical inquiry into the vast expanse of human prehistory.
Ukrainian universities in QS World University Rankings: when the means become ends
Authors: Hladchenko Myroslava 
Published: January 2025

Abstract
This study, taking Ukrainian universities as an example, aims, first, to contribute to the body of knowledge on the effects of QS Rankings and national policies inspired by it on universities’ research assessment policies and their research output in Scopus. Second, to explore the relationship between different publication and authorship patterns and the citation impact. Dataset includes publications of six Ukrainian universities assessed by QS Rankings 2025. The study findings highlight that QS Rankings has turned the means of universities into their ends. University performance is supposed to result in the quality of life, technological progress, economic and social well-being of the nation. Publications are just one of the means of achieving these ends. At the national level, the state sustains means-ends decoupling overloading universities with multiple demands without providing beneficial conditions. Universities’ managers also sustain means-ends decoupling, the degree of which varies among universities. Explored universities published extensively in Ukrainian Scopus-indexed, discontinued from Scopus and MDPI journals to increase output in Scopus rapidly. Conference papers constitute a large share of publications. They have a high impact only if the citations are normalised by document type but QS Rankings doesn’t do this. Thus, their impact is small. The citation impact of the articles falls from Q1 to Q4 quartile, while the share of articles authored by only national authors increases. Ukrainian case shows that means-ends decoupling at global, national and organisational levels results in diversion of critical resources, both financial and human.
GAN-CITE: leveraging semi-supervised generative adversarial networks for citation function classification with limited data
Authors: Chatrinan Krittin , Noraset Thanapon , Tuarob Suppawong 
Published: January 2025

Abstract
Citation function analysis is crucial to understanding how cited literature contributes to the overall discourse and meaning conveyed in scientific publications. Citation functions serve diverse roles that must be accurately identified and categorized. Still, the field of citation function analysis faces challenges due to limited labeled data and the complexity of defining and categorizing citation functions, which require expertise and a deep understanding of scientific literature. This limitation results in imprecise identification and categorization of citation functions, emphasizing the need for further advancements to improve the accuracy and reliability of citation function analysis. This paper proposes GAN-CITE, a novel framework employing semi-supervised learning techniques to address these limitations. Its primary objective is to efficiently leverage available unlabeled data by combining generative adversarial networks (GANs) and the language model to incorporate substantial data representations from unlabeled data sources. Our study demonstrates that GAN-CITE outperforms both supervised and semi-supervised state-of-the-art models in limited data settings, namely 10%, 20%, and 30% of the total labeled data. We also examine its performance in insufficient and imbalanced labeled data situations, as well as the potential of unlabeled data utilization. These findings highlight the success of generative adversarial networks in enhancing citation function classification and their applications in digital libraries that require precise citation function categorization, such as trend analysis and impact quantification, under limited annotated data.
Predicting the time to first citation for medical articles using survival analysis and the association between this time and citation counts
Authors: Srisawad Sutthisak , Lertsittiphan Kullacha , Tunsirirut Sirirut , Saenkla Pennapa 
Published: January 2025

Abstract
Thailand is transitioning to a knowledge-based economy that relies on a highly skilled workforce and the leveraging of innovative research. This has led to top universities aiming to become world-class institutions. However, Thai universities’ citation indicators still need to be improved, meaning that bibliometric research is needed to find appropriate new strategies for achieving this. We investigated bibliometric data for Thailand and made a comparison with Malaysia. Appropriate models for predicting the time to first citation were also found. Survival analysis and Cox regression were applied in the prediction models. The sample used consisted of 2000 medical articles with authors from four universities. Slight differences were found between the bibliometric data for Thailand and Malaysia. The journal quality was found to be a strong predictor of the time to first citation. Several other statistically significant main variables and interaction variables were found, including the number of citations. Citation counts remain a recognized indicator of research potential. Faster publication can increase the number of citations, but care needs to be taken regarding self-citation. It is notable that Malaysian universities have a higher proportion of cross-disciplinary publications compared with Thai universities.
Unlocking the power of optimized data balancing ratios: a new frontier in tackling imbalanced datasets
Authors: Aymaz Samet 
Published: January 2025

Abstract
Data balancing methods eliminate the problem of imbalanced class distributions, which often lead to the majority class being well-learned while the minority class remains underrepresented, negatively affecting classification performance. This study applies data balancing to the healthcare domain, a critical field where classification success directly impacts human life. The primary aim is to introduce novel balancing methods while addressing the previously overlooked problem of optimizing data balancing ratios. Six healthcare datasets were used: Wisconsin Diagnostic Breast Cancer (WDBC), Wisconsin Prognostic Breast Cancer (WPBC), Z-Alizadeh Sani, Kidney, Diabetes, and Stroke, all characterized by significant diseases and imbalanced class distributions. Six balancing methods were tested, including synthetic minority oversampling technique (SMOTE), adaptive synthetic sampling (ADASYN), support vector machine-SMOTE (SVM-SMOTE), Borderline-SMOTE, cubic interpolation, and quadratic interpolation, with interpolation-based methods being adapted to this domain for the first time. The critical factor in data balancing is identifying the optimal ratio that maximizes classification performance. In this study, particle swarm optimization (PSO), whale optimization algorithm (WOA), and Optuna optimization methods were used to optimize balancing ratios via a custom-designed fitness function that simultaneously optimizes classification accuracy and resource consumption. Classification was conducted for three scenarios: full balance, optimized balance, and imbalance, using support vector machine (SVM), random forest (RF), and ensemble learning (EL) classifiers, allowing for extensive analysis. Each combination of balancing methods, classifiers, and optimization techniques was separately analyzed using metrics such as accuracy, precision, recall, F1-score, time, central processing unit (CPU) usage, and memory usage. As a result, the combination that optimally balances classification accuracy and resource consumption was determined for each dataset, providing both comprehensive analysis and insights into the impact of balancing ratio optimization on diagnostic success in health care.
Hearing loss and risk of major osteoporotic fracture: a population-based cohort study in the United Kingdom
Authors: Khalid Sara , Alhambra Daniel Prieto , Hasheminasab Seyed Alireza , Vinogradova Yana , Qureshi Nadeem , Ratzinger Michaela , Brunetti Vanessa , Salas Adrian , Canals Laura 
Published: January 2025

Abstract

Summary

Using the UK Clinical Practice Research Datalink, our cohort study matched 237,297 individuals with hearing loss (HL) to 829,431 without HL. The study found an 8–10% higher risk of major osteoporotic fracture in individuals with HL compared to those without. Additionally, within the HL cohort, we identified risk factors for potential inclusion in fracture risk models.

Purpose
Assess association between hearing loss (HL) and major osteoporotic fracture (MOF; spine, wrist/forearm, shoulder/proximal humerus, hip) in individuals aged ≥ 60 years, and risk factors for MOF in individuals with HL.

Methods
From the UK Clinical Practice Research Datalink, our cohort study matched individuals aged ≥ 60 years diagnosed with HL (READ/ICD-10 codes; 01January2001–31December2021; index event), without secondary osteoporosis causes, with up to five individuals without HL (birth, index year, sex, general practice). Incidence rates and Cox proportional hazard ratios (HL vs. no HL; stratified by low/high fracture risk) were calculated for MOF and hip fracture; multivariate logistic regression assessed risk factors for MOF and hip fracture (HL cohort).

Results
A total of 237,297 individuals with HL matched to 829,431 without HL, with a median age of 74 and 72 years, respectively. Compared with those without HL, individuals with HL had greater frailty (severe electronic frailty index, 5.9% vs. 2.7%), higher incidence of prior falls (14.1% vs. 10.6%), longer mean follow-up with higher incidence of MOF and hip fractures (5.1 vs. 4.4 years, 20.1 and 5.32 vs. 16.58 and 4.54 per 1000 person-years, respectively) and higher risk of MOF and hip fracture (adjusted HR, 1.10 and 1.08, respectively). Significant risk factors for MOF and hip fracture included age ≥ 70 years, fracture history, falls, osteoporosis diagnosis, chronic obstructive pulmonary disorder and cardiovascular disease (HL cohort).

Conclusion
In individuals with HL, we observed an 8–10% higher risk of MOF and hip fracture versus individuals without HL and identified risk factors for potential inclusion in fracture risk models.
A nomogram based on trauma-induced coagulopathy for predicting hospital mortality in multi-trauma patients: a retrospective study
Authors: Chen Shaochuan , Yang Jiale , Shi Xuezhi , Liu Anwei , Lin Guodong , Tong Huasheng 
Published: January 2025

Abstract
Multi-trauma presents significant challenges due to the complexity of injuries and high mortality rates. Early identification and intervention are crucial for improving outcomes in these critically injured patients. This retrospective study analyzed clinical data from multi-trauma patients admitted to the emergency department of Huiyang Sanhe Hospital between January 10, 2020, and September 30, 2022. Univariate and multivariate logistic regression analyses were conducted to identify independent predictors of hospital mortality. A prediction model was developed based on these prognostic markers, visualized using a nomogram, and its discriminative ability and clinical benefit were evaluated. A total of 124 multi-trauma patients were included in the study, with a hospital mortality rate of 26.7%. Univariate and multivariate logistic regression analyses identified trauma-induced coagulopathy (TIC) (OR 4.238, 95% CI 1.46–12.28), blood urea nitrogen (BUN) (OR 1.397, 95% CI 1.09–1.78), and Glasgow Coma Scale (GCS) score (OR 0.720, 95% CI 0.61–0.85) as independent factors of hospital mortality. Therefore, a nomogram incorporating TIC, BUN, and GCS score was constructed and demonstrated excellent predictive performance and clinical impact (AUC 0.898, 95% CI 0.834–0.962). The nomogram developed in this study provided a practical tool for early prediction of hospital mortality in multi-trauma patients. By focusing on TIC, BUN, and GCS score, this model may facilitate rapid bedside assessment and timely intervention. However, further multicenter, prospective studies are required to validate its performance and applicability.