bluuebunny/crossref_metadata_2025_split huggingface dataset:
What Predicts Early Math in Autism? A Study of Cognitive and Linguistic Factors
Authors: Fernández-Cobos Raúl , Polo-Blanco Irene , Castroviejo Elena , Juncal-Ruiz Maria , Vicente Agustín 
Published: January 2025

Abstract
This study aimed to examine early mathematical abilities in young children with autism aged four to seven without intellectual disabilities and their connection with autism severity, non-verbal intelligence, and linguistic abilities (receptive vocabulary and grammar). The study involved 42 children with autism. We assessed participants’ cognitive, mathematical, and linguistic abilities. Their mathematical performance was compared with that of typically developing children using standardized measures. Statistical analyses were conducted to identify potential cognitive or linguistic differences across groups based on mathematical performance, and to determine predictive factors for mathematical abilities in children with autism. The findings indicated a higher prevalence of mathematical difficulties among the participants compared to typically developing children. A classification based on mathematical performance revealed statistically significant differences in cognitive and linguistic variables across groups, particularly in the low-performance group. However, no significant differences were found according to autism severity between the groups. The analysis further identified that a combination of visuo-spatial and linguistic abilities was the most predictive factor for mathematical performance. The study suggests that young children with autism without intellectual disabilities may be more likely to experience mathematical difficulties compared to typically developing children. Assessing cognitive and linguistic abilities could serve as a predictive measure for mathematical difficulties of children with autism, even without a formal diagnosis. Future research, with larger samples or longitudinal approaches, could validate these findings or explore which specific mathematical abilities are more related to non-verbal intelligence and which ones to structural language.
Refining the Florida ecological greenways network for improved landscape planning and conservation prioritization
Authors: Hoctor Thomas S. , Bohnett Eve , O’Brien Michael , Thompson Elizabeth , Noss Reed , Lockhart Sarah , Volk Michael , Carr Peggy , Smith Daniel J. , Guthrie Joseph M. , Oetting Jon 
Published: January 2025

Abstract

Context
The Florida Ecological Greenways Network (FEGN), established in the mid-1990s, was developed to combat habitat loss and fragmentation from rapid population growth. Over the past 30 years, the FEGN has been pivotal in identifying areas essential for biodiversity and ecosystem services to support conservation land acquisition programs including Florida Forever and the Rural and Family Lands Protection Program. It also underpins the Florida Wildlife Corridor Act, demonstrating its critical role in shaping state legislation. Continuous updates to the FEGN have ensured its relevance by integrating new geospatial data and advanced modeling techniques.

Objectives
This paper examines the methodology delineating and prioritizing the FEGN’s statewide ecological network. Using geospatial data to interface with environmental policy for strategic conservation planning, we demonstrate its cumulative importance for protecting the state’s biodiversity and ecosystem services.

Methods
We describe the data and methodological framework used to prioritize and refine the FEGN, including focal species, ecosystem services, connectivity models, and distribution of natural communities. We also compare the 2021 and 2016 versions of the FEGN to demonstrate the impact of updated data and land protection progress.

Conclusions
Our findings emphasize the importance of regularly updating connectivity conservation plans to account for land use changes and advancements in geospatial modeling tools. The involvement of a Technical Advisory Group (TAG) has ensured objective data inclusion and building trust in the planning process. The FEGN provides essential guidance for stakeholders in landscape conservation planning, including government agencies, land trusts, and private landowners. The state legislature’s recognition and funding of the Florida Wildlife Corridor underscore the effectiveness of long-term scientific integration in conservation efforts.
The Digital Masons: Technology Providers and Social Credit System Construction in China
Authors: Sel Pierre 
Published: January 2025

Abstract
China’s Social Credit System Projects (SCSP) rely on dedicated digital infrastructure and as such can be considered as e-government projects. This study offers a preliminary analysis of companies who were tasked to construct and operate the SCSP’s databases. Building upon 500 public procurement notices from 2018 to 2023 across various administrative levels and provinces in China, the findings show a fragmented social credit construction market. In this market, small and medium-sized companies, both non-state and state-owned, compete to provide database services to local governments without any single firm dominating. This exploratory study illuminates the intricate dynamics and competitive landscape of digital government construction in China. It provides insights into the dynamics of public-private collaboration in China and the political economy of digital governance.
Labour diagnostics using the intrauterine pressure through sound waves emitted by a smartphone
Authors: Alderson Benjamin , Osman A. , El-Sayed Mahmoud Ahmed , Essa Khamis 
Published: January 2025

Abstract
Labour commencement diagnosis is still challenging in obstetrics. The majority of scientific techniques that were used to determine labour are costly and require a professional healthcare personnel to be carried out. Hence, in this work, an experiment was conducted using a 3D-printed 50% scale model of the abdomen of an average 40-week pregnant woman. The aim was to test whether the internal pressure can be evaluated from the reflection of the sound waves emitted by a smartphone. Frequencies of 4 kHz and 20 kHz were triggered at multiple distances (0.17, 0.34, 0.51 m) after inflating the 3D-printed model with water. The reflection coefficients and internal pressure were determined to have a positive linear correlation, suggesting that the hypothesis is practical. However, as the distances decreased, the reflection coefficient plateaued, indicating that the material had attained its maximum reflection coefficient at that frequency. Due to its reduced error and non-audible properties as compared to 4Hz, 20 kHz was suggested to be an optimum frequency for measuring pressure, allowing it for pain-free application for an extended amount of time.

Graphical Abstract
Optimization of Transcription Factor-Driven Neuronal Differentiation from Human Induced Pluripotent Stem Cells for Disease Modelling and Drug Screening
Authors: Servetti Martina , Caramia Martino , Parodi Giulia , Loiacono Fabrizio , Nano Ennio , Biddau Giorgia , Ferrando Lorenzo , Morinelli Lisastella , Valente Pierluigi , Martinoia Sergio , Escelsior Andrea , Serafini Gianluca , Tamburro Serena , Baldassari Simona , Fassio Anna , Benfenati Fabio , Corradi Anna , Sterlini Bruno 
Published: January 2025

Abstract
Progress of human brain in vitro models stands as a keystone in neurological and psychiatric research, addressing the limitations posed by species-specific differences in animal models. The generation of human neurons from induced pluripotent stem cells (iPSCs) using transcription factor reprogramming protocols has been shown to reduce heterogeneity and improve consistency across different stem cell lines. Despite notable advancements, the current protocols still exhibit several shortcomings. This study focuses on standardizing and optimizing the procedure for iPSC-derived glutamatergic neurons generation through the inducible overexpression of Neurogenin-2. Noteworthy refinements include stringent scrutiny of genomic rearrangements post-fibroblast reprogramming, selection of a homogeneously integrated NGN2-cassettes population, and the incorporation of an intermediate step during neuronal differentiation to store neuronal progenitors. The neural culture showed a high degree of neuronal maturation and consistency, as shown by single-cell and network electrophysiological recordings. These advancements aim to provide more reliable tools for disease modelling and drug screening in neurological disorders.

Graphical Abstract
The effects of popularity perceptions and social appearance anxiety on the desire of young people to have aesthetic procedures on social media
Authors: Ayar Duygu , Aksu Çiğdem , Polat Filiz , Elkoca Ayşe 
Published: January 2025

Abstract
The aim of this study was to investigate the effects of young people’s popularity perceptions and social appearance concerns on their perceptions of aesthetic procedures on social media. This cross-sectional study was conducted between November 2023 and January 2024. A Personal Information Form, the Popularity Perception Scale (PPS), the Social Appearance Anxiety Scale (SAAS), and the Scale of Aesthetic Procedure Perceptions on Social Media (SAPPS) were used to collect data. Statistically significant differences were found in the popularity perceptions, social appearance anxiety levels, and aesthetic procedure perceptions of the participants based on their age, their status of having a disliked bodily/facial feature, whether they thought of undergoing aesthetic procedures, whether they used filters on social media, whether they used image manipulation programs, and their frequency of using social media platforms each day. The PPS scores of the participants had weak, positive, and significant correlations with their SAAS scores and their total and subscale scores on SAPPS. The frequency of their usage of image manipulation programs was found to predict the popularity perceptions of the participants and their perceptions of aesthetic procedures on social media. It was determined that nursing students had above-average levels of positive popularity perceptions, social appearance anxiety, and positive perceptions of aesthetic procedures on social media, and these three variables were significantly associated with each other. This research may lead to informing young people about the aforementioned factors with the views and support of young nurses.
Early administration of romosozumab prevents rebound of bone resorption related to denosumab withdrawal in fractured post-menopausal women: a real-world prospective study
Authors: Piasentier Alberto , Fanti Alessandro , Birtolo Maria Francesca , Vena Walter , Colle Roberto , Gentile Lucrezia Maria Silvana , Jaafar Simona , Bossi Antonio Carlo , Lania Andrea G. , Mazziotti Gherardo 
Published: January 2025

Abstract

Purpose
The real-world effectiveness of switching from denosumab to romosozumab remains controversial. Sequential therapy with romosozumab was shown to be associated with inadequate suppression of bone resorption and there was anecdotal evidence of major osteoporotic fractures (MOFs) after transitioning from denosumab to romosozumab. This study evaluated the effects on bone resorption of early romosozumab administration 3 months after denosumab withdrawal in fractured women with post-menopausal osteoporosis.

Methods
This prospective, single-center cohort study included 39 post-menopausal women with osteoporosis experiencing either MOFs or decrease in bone mineral density during long-term treatment with anti-resorptive drugs. Eighteen received romosozumab either 6 months (Group A) or 3 months (Group B) after their last denosumab dose, while 21 women switched from bisphosphonates to romosozumab and were enrolled as controls (Group C). Serum C-terminal telopeptide of type I collagen (CTX) levels were measured at baseline, 3 and 6 months.

Results
All women of group A and 4 out of 8 women of group B showed a clinically significant increase of CTX values (i.e., change above the least significant change) (p = 0.023), which occurred earlier in group A as compared to group B. Moreover, 9/10 women of group A and 2/8 women of group B achieved values above the mean of reference range for pre-menopausal women (p = 0.013). In group C, serum CTX values did not change significantly during the follow-up. Two women in Group A experienced MOFs during the follow-up.

Conclusions
Early romosozumab administration after denosumab withdrawal may control bone turnover rebound and possibly prevent incidence of fractures in post-menopausal osteoporosis.
Advances in TENGs for Marine Energy Harvesting and In Situ Electrochemistry
Authors: Zhang Chuguo , Hao Yijun , Lu Xiangqian , Su Wei , Zhang Hongke , Wang Zhong Lin , Li Xiuhan 
Published: January 2025

Abstract
The large-scale use of ample marine energy will be one of the most important ways for human to achieve sustainable development through carbon neutral development plans. As a burgeoning technological method for electromechanical conversion, triboelectric nanogenerator (TENG) has significant advantages in marine energy for its low weight, cost-effectiveness, and high efficiency in low-frequency range. It can realize the efficient and economical harvesting of low-frequency blue energy by constructing the floating marine energy harvesting TENG. This paper firstly introduces the power transfer process and structural composition of TENG for marine energy harvesting in detail. In addition, the latest research works of TENG on marine energy harvesting in basic research and structural design are systematically reviewed by category. Finally, the advanced research progress in the power take-off types and engineering study of TENG with the marine energy are comprehensively generalized. Importantly, the challenges and problems faced by TENG in marine energy and in situ electrochemical application are summarized and the corresponding prospects and suggestions are proposed for the subsequent development direction and prospects to look forward to promoting the commercialization process of this field.
Advanced Bismuth-Based Anode Materials for Efficient Potassium Storage: Structural Features, Storage Mechanisms and Modification Strategies
Authors: Tan Yiye , Mo Fanglan , Li Hongyan 
Published: January 2025

Abstract
Potassium-ion batteries (PIBs) are considered as a promising energy storage system owing to its abundant potassium resources. As an important part of the battery composition, anode materials play a vital role in the future development of PIBs. Bismuth-based anode materials demonstrate great potential for storing potassium ions (K+) due to their layered structure, high theoretical capacity based on the alloying reaction mechanism, and safe operating voltage. However, the large radius of K+ inevitably induces severe volume expansion in depotassiation/potassiation, and the sluggish kinetics of K+ insertion/extraction limits its further development. Herein, we summarize the strategies used to improve the potassium storage properties of various types of materials and introduce recent advances in the design and fabrication of favorable structural features of bismuth-based materials. Firstly, this review analyzes the structure, working mechanism and advantages and disadvantages of various types of materials for potassium storage. Then, based on this, the manuscript focuses on summarizing modification strategies including structural and morphological design, compositing with other materials, and electrolyte optimization, and elucidating the advantages of various modifications in enhancing the potassium storage performance. Finally, we outline the current challenges of bismuth-based materials in PIBs and put forward some prospects to be verified.
Integrated 3D reservoir modelling for the unconventional reservoir prospects: a case study of Upper Cretaceous Brown Limestone reservoir, South Geisum field, Gulf of Suez, Egypt
Authors: Osman Mohamed , Farouk Sherif , Sarhan Mohammad A. 
Published: January 2025

Abstract
The Gulf of Suez basin (GOS) hosts over eighty conventional oilfields spanning from the Pre-Cambrian to the Recent. This research focuses on a segment of the (GOS) sequence within the territories managed by PGM Company. It outlines a methodology for evaluating unconventional resource potential within the Brown Limestone interval of Upper Cretaceous age in this region. The Brown Limestone interval serves not only as a crucial source rock but also as a fractured reservoir widespread across many oilfields. Due to intricate reservoir architecture, diverse lateral variations in facies and the heterogeneity of the reservoir quality, uncertainties prevail. These challenges impede the optimization of reservoir exploitation throughout the GOS Basin. This study employs an integrated approach utilizing diverse datasets and techniques to ascertain the precise structural setting, property attributes of the Upper Cretaceous Brown Limestone and forecast its complex geometry in three-dimensional space within the study area. The study aims to assess the reservoir and trap heterogeneity under various scenarios to create a robust 3D static model dictating the structural and property complexities. The objective of the model is to enhance the precision of reserve estimates and provide crucial support for decision-making in the development planning of the South Geisum oilfield.
Belief beyond reason: a radical relativist hinge epistemology
Authors: Johnson Drew 
Published: January 2025

Abstract
Hinge epistemology is sometimes thought to have controversial relativist and non-evidentialist commitments. This paper develops and motivates an explicitly relativist and radically non-evidentialist version of hinge epistemology, following and combining aspects of Ashton’s (2019) defense of relativist hinge epistemology and Pritchard’s (2016) defense of a non-epistemic reading of hinge commitments. I argue that radical relativist hinge epistemology shares in a main attraction of hinge epistemology in general, namely, offering a dissolution of closure-based radical skeptical problems. I then motivate RR as a social hinge epistemology by showing that it is particularly well-suited for fruitful applications in topics such as deep disagreement, testimonial injustice, and hermeneutic injustice.
Artificial Intelligence and Sentencing Practices: Challenges and Opportunities for Fairness and Justice in the Criminal Justice System in Sri Lanka
Authors: Niriella Muthukuda Arachchige Dona Shiroma Jeeva Shirajanie 
Published: January 2025

Abstract
Artificial intelligence (AI) is increasingly being integrated into sentencing within the criminal justice system. This research examines the impact of AI on sentencing, addressing the challenges and opportunities for fairness and justice. The main problem explored is AI’s potential to perpetuate biases, undermining fair-trial principles. This study intends to assess AI’s influence on sentencing, identify legal and ethical challenges, and propose a framework for equitable AI use in judicial decisions. Key research questions include: (1) How does AI influence sentencing decisions? (2) What concerns arise from AI in sentencing? (3) What safeguards can mitigate those concerns and prejudices? Utilizing qualitative methodology, including doctrinal analysis and comparative studies, the research reveals AI’s potential to enhance sentencing efficiency but also to risk reinforcing biases. The study recommends robust regulatory frameworks, transparency in AI algorithms, and judicial oversight to ensure AI supports justice rather than impedes it, advocating for a balanced integration that prioritizes human rights and fairness.
How Did Human Rights Fare in Amendments to the International Health Regulations?
Authors: Forman Lisa , de Mesquita Judith Bueno , Filho Luciano Bottini , Meier Benjamin Mason , Sirleaf Matiangai 
Published: January 2025

AbstractIn this article, we examine the relationship between the World Health Organization International Health Regulations (IHR) and human rights and its implications for IHR reform, considering the evolution of human rights in the 2005 IHR, the role of human rights in IHR reforms and the implications of these reforms in key domains including equity and solidarity, medical countermeasures, core capacities, travel restrictions, vaccine certificates, social measures, accountability, and financing.
Feature reassembly and meso-parameters versus interpretability: From inconsistent null subjects in L1 Hebrew to no null subjects in L2 English
Authors: Brandel Noa 
Published: January 2025

Abstract
This paper reports the results of a cross-sectional study investigating the acquisition of the syntactic properties associated with the null subject (meso-)parameter in English as a second language (L2) among Hebrew-speaking youngsters (18-year-olds). The two languages differ concerning these properties, with Hebrew allowing null subjects and related properties (although inconsistently) and English disallowing these properties altogether. One hundred four intermediate learners and 97 English-speaker controls provided grammaticality judgments and corrections concerning constructions involving expletive and referential null subjects, post-verbal subjects, and complementizer-trace sequences. The results reveal limited evidence for transfer from the learners’ mother tongue (first language [L1]) and indicate that learners have met the native standard concerning null and post-verbal subjects. These findings support both the meso-parametric view of cross-linguistic variation and feature reassembly on functional heads in L2 acquisition, while partially rejecting the Interpretability Hypothesis. Learners nevertheless deviate from the native standard concerning complementizer-trace sequences. This finding is unaccounted for by the meso-parametric approach, feature reassembly, or interpretability, but can instead be attributed to L1 transfer. Controls also demonstrate variability concerning complementizer-trace sequences, suggesting that the performance of all participants regarding this configuration is affected by processing difficulties, lower frequency in the input, and methodological issues with the items and/or the task.
When unpacking the black box of motivation invites three forms of reductionism
Authors: Moors Agnes 
Published: January 2025

Abstract
In their proposal for unpacking the black box of motivation, Murayama and Jach (M&J) propose three types of reductions: From high-level to low-level motivational constructs, from motivation to cognition, and from contentful to contentless explanations. Although these reductions come with the promise of parsimony, they carry the risk of losing vital explanatory power.
Motivation needs cognition but is not just about cognition
Authors: André Nathalie , Baumeister Roy F. 
Published: January 2025

Abstract
Murayama and Jach offer valuable suggestions for how to integrate computational processes into motivation theory, but these processes cannot do away with motivation altogether. Rewards are only rewarding because people want and like them – that is, because of motivation. Sexual desire is not primarily a quest for rewarding information. Elucidating the interface between motivation and cognition seems a promising way forward.
There's no such thing as a free lunch: A computational perspective on the costs of motivation
Authors: Vassena Eliana , Gottlieb Jacqueline 
Published: January 2025

Abstract
Understanding the psychological computations underlying motivation can shed light onto motivational constructs as emergent phenomena. According to Murayama and Jach, reward-learning is a key candidate mechanism. However, there's no such thing as a free lunch: Not only benefits (like reward), but also costs inherent to motivated behaviors (like effort, or uncertainty) are an essential part of the picture.