bluuebunny/crossref_metadata_2025_split huggingface dataset:
Implicit knowledge-augmented prompting for commonsense explanation generation
Authors: Ge Yan , Yu Hai-Tao , Lei Chao , Liu Xin , Jatowt Adam , Kim Kyoung-sook , Lynden Steven , Matono Akiyoshi 
Published: January 2025

Abstract
Commonsense explanation generation refers to reasoning and explaining why a commonsense statement contradicts commonsense knowledge, such as why the statement “My dad grew volleyballs in his garden” is nonsensical. While such reasoning is trivial for humans, it remains a challenge for AI systems. Despite their notable performance in tasks like text generation and reasoning, large language models (LLMs) often fall short of consistently generating coherent and accurate commonsense explanations. To bridge this gap, we propose a novel Two-stage Identification and Prompting (TIP) framework for enhancing LLMs’ ability to handle the task of commonsense explanation generation. Specifically, in the first stage, TIP identifies the nonsensical concept in the given statement, pinpointing the specific element that contradicts commonsense knowledge. In the second stage, TIP generates implicit knowledge based on the identified nonsensical concept and then leverages this implicit knowledge to guide the adopted LLMs in generating explanations. In order to demonstrate the effectiveness of the proposed TIP framework for commonsense explanation generation, we conducted extensive experiments based on the ComVE dataset and a newly constructed CSE dataset, where a variety of LLMs are evaluated. The experimental results show that TIP consistently outperforms all baseline methods across multiple metrics, demonstrating its effectiveness in improving LLMs’ commonsense reasoning and explanation generation capabilities.
Promoting water consumption among children through a social network intervention: a cluster randomized controlled trial on a Caribbean island
Authors: Franken Saskia C. M. , Smit Crystal R. , de Moor Marleen H. M. , de Leeuw Rebecca N. H. , Buijzen Moniek 
Published: January 2025

Abstract

Aim
This study examined the effect of the evidence-based adapted social network intervention named Kies Awa (translation: Choose Water) on children’s water and sugar-sweetened beverages (SSB) consumption. It also examined the moderating role of children’s descriptive and injunctive norms of water and SSB consumption on the intervention’s effect.

Subject and methods
We conducted a cluster randomized control trial (RCT) where schools were randomized to one of two clusters: the intervention group (IG; Kies Awa intervention; 156 participants; M = 11.08, SD = 1.00; 53.8% girls) or the control group (CG; no intervention; 144 participants; M = 11.32, SD = 0.96; 52.8% girls). The primary outcome measure was water consumption and the secondary outcome was SSB consumption.

Results
Linear mixed modeling analyses showed that water consumption increased significantly more among IG participants than in the CG (β = 0.141; p = 0.015). The effect on SSB consumption was moderated by perceived injunctive norms, which refer to social disapproval of consuming SSBs. Specifically, the intervention reduced SSB consumption for participants reporting high levels of injunctive norms (β = -0.052; p = 0.037).

Conclusion
These findings suggest that Kies Awa, an evidence-based adapted intervention, could be implemented in other Caribbean islands to improve children’s water consumption. This approach could be integrated into school health programs, contributing to public health. These findings may help achieve the United Nations’ goal of ensuring healthy lives for all children, even in under-researched world regions.

Clinical Trial Registration: Main ID number: NL-OMON26157, preregistration date 2018-12-20. https://trialsearch.who.int/Trial2.aspx?TrialID=NL-OMON26157.
Aquatic ecosystem indices, linking ecosystem health to human health risks
Authors: De Carvalho Fanny G. , Loyau Adeline , Kelly-Irving Michelle , Schmeller Dirk S. 
Published: January 2025

Abstract
The good functioning of aquatic ecosystems is essential for providing diverse ecosystem services that benefit humans. The degradation of ecosystem health due to continuous stressors, such as climate change or water pollution, is leading to an increase in human health risks and well-being. Indicators have been developed to determine human health risks from recreational and drinking water. Still, a general application to aquatic ecosystems linking ecosystem health and human health risks has not been done. We here reviewed indicators and indices applied to assess the health of aquatic ecosystems and their links with human health risk and well-being. We evaluated the extent to which indicators can witness a risk to human health and well-being. A total of 245 articles were reviewed, consisting of 185 on the assessment of aquatic ecosystem health and 60 linking ecosystem health and human health or well-being. Out of the 65 indices described, we evaluated the use of several parameters and their relevance to evaluate human health risks, including physico-chemical parameters, bioindicators, contaminants, and pathogens, therefore covering the various sources of ecosystem disturbance. Based on our assessment, we propose a set of indicators that would allow for the inclusion of risks for human health and well-being in the assessment of ecosystem health (e.g. coliforms, algae, pH, nutrients, chemical compounds, and ecosystem services). Measuring these parameters should be incorporated into future studies to allow an understanding of the linkage of ecosystem and human health.
Critical factors affecting digital transformation in manufacturing companies
Authors: Chirumalla Koteshwar , Oghazi Pejvak , Nnewuku Rosa Eluekezi , Tuncay Hatice , Yahyapour Nima 
Published: January 2025

Abstract
Digital transformation represents a compelling opportunity for manufacturing companies to enhance their competitiveness. This transformative journey offers myriad possibilities, including improved connectivity between workers and machines, as well as seamless machine-to-machine interactions. However, many manufacturing companies encounter challenges when attempting to implement digital transformation effectively. The process of digital transformation is often slow, and most companies find themselves in the early stages of adoption, grappling with the ambiguity surrounding the associated technologies. A systematic approach for the implementation of digital transformation is still elusive for many manufacturing companies. The number of studies exploring digital transformation is increasingly growing, encompassing various sectors and domains. However, within the manufacturing sector, there remains a need for further research and clarity on systematic implementation approaches. To address these issues, this research undertakes a comprehensive analysis to identify the critical factors that influence digital transformation in the manufacturing sector. The objective of this research is to identify the factors that drive the success of digital transformation in manufacturing companies while also uncovering factors that, when neglected, could lead to failure. Through a systematic literature review, this research identifies 11 critical factors. These factors serve as the basis for developing the ARTO model, a structured framework comprising four distinct categories: "Awareness-related factors," "Readiness-related factors," "Technology Selection-related factors," and "Operations-related factors." Moreover, this research incorporates expert perspectives gathered through a survey to refine the ARTO model. This study offers the ARTO model and digital transformation definition as practical tools for successfully implementing digital transformation in manufacturing companies, while also delineating the intricate relationships among the crucial factors. By shedding light on the factors underpinning digital transformation in the manufacturing sector, this research contributes to the ongoing discourse and facilitates more effective adoption of digital transformation strategies.
Hybridizing evolutionary algorithms and multiple non-linear regression technique for stream temperature modeling
Authors: Sedighkia Mahdi , Moradian Zahra , Datta Bithin 
Published: January 2025

Abstract
The present study hybridizes the new-generation evolutionary algorithms and the nonlinear regression technique for stream temperature modeling and compares this approach with conventional gray and black box approaches under natural flow conditions, providing a comprehensive assessment. The nonlinear equation for water temperature modeling was optimized using biogeography-based optimization (BBO) and invasive weed optimization (IWO), simulated annealing algorithm (SA) and particle swarm optimization (PSO). Two black box approaches, a feedforward neural network (FNN) and a long short-term memory (LSTM) network, were also employed for comparison. Additionally, an adaptive neuro-fuzzy inference system (ANFIS) served as a gray box model for river thermal regimes. The models were evaluated based on accuracy, complexity, generality and interpretability. Performance metrics, such as the Nash–Sutcliffe efficiency (NSE), showed that the LSTM model achieved the highest accuracy (NSE = 0.96) but required significant computational resources. In contrast, evolutionary algorithm-based models offered acceptable performance while reducing the computational complexities of LSTM, with all models achieving NSE values above 0.5. Considering interpretability, accuracy and complexity, evolutionary-based nonlinear models are recommended for general applications, such as assessing thermal river habitats. For tasks requiring very high accuracy, the LSTM model is preferred, while ANFIS provides a balanced trade-off between accuracy and interpretability, making it suitable for engineers and ecologists. While all models demonstrate similar generality, this model is developed for a specific location. For other locations, independent models with a similar architecture would need to be developed. Ultimately, the choice of model depends on specific objectives and available resources.
Assessment of variations in shear strain energy induced by fault coseismic slip in deep longwall mining
Authors: Li Yatao , Gao Xuehong 
Published: January 2025

Abstract
Shear strain energy is a pivotal physical quantity in the occurrence of earthquakes and rockbursts during deep mining operations. This research is focused on understanding the changes in shear strain energy in the context of retreating longwall mining, which is essential for the optimized design and mitigation of rockbursts and seismic events. Through the application of innovative analytical models, this study expands its analytical range to include the variations in shear strain energy caused by fault coseismic slip. An integrated methodology is utilized, taking into account the changes in coseismic and fault friction parameters as well as enhancements in mining-induced stress and existing background stresses. Our numerical investigation highlights the significance of mining location and fault characteristics as key determinants of shear strain energy modifications. The analysis demonstrates significant spatial variability in shear strain energy, especially noting that fault slip near the mining face greatly increases the likelihood of rockburst. This finding emphasizes the need to integrate fault coseismic slip dynamics into the triggering factors of rock (coal) bursts, thus broadening the theoretical foundation for addressing geological hazards in deep mining operations. The results are further corroborated by observational data from the vicinity of the F16 fault zone, introducing the concept of mining-induced fault coseismic slip as an essential element in the theoretical framework for understanding rockburst triggers.
Acquisition of Chinese characters: the impact of character properties and the contribution of individual differences
Authors: Kuo Li-Jen , Ku Yu-Min , Chen Zhuo , Shih Chih-Yuan 
Published: January 2025

AbstractDrawing upon research on the visual complexity effect and Dual Coding Theory, this research examined the influence of character properties and the role of individual learner differences in Chinese character acquisition. The participants included 248 Chinese-speaking children in grades 1 through 3 in Taiwan. The study extended the scope of previous research by concurrently examining two types of cognitive processing: activation of verbal codes with nonverbal codes (activation of word form) and activation of nonverbal codes with verbal codes (activation of meaning). Results revealed the asymmetry in the two types of cognitive processing. Regarding the influence of character properties, while characters with less visual complexity and with radical presence are generally more acquirable, the interaction between these two properties was only present in the activation of meaning but not the activation of word form. Individual differences contributing to character acquisition did not mirror each other in the two directions of cognitive processing either. The contribution of radical awareness and visual skills remained the same across grade levels in the activation of meaning but varied with grades and the properties of the characters in the activation of word form. The methodological and theoretical contributions of the study were discussed.
Early menarche is associated with disordered eating—results from a National Youth Survey
Authors: Iron-Segev Sharon , Namimi-Halevi Chen , Dor Chen , Dichtiar Rita , Stark Aliza H. , Keinan-Boker Lital , Sinai Tali 
Published: January 2025

Abstract

Background
Disordered eating (DE) is highly prevalent among adolescents, though its definition varies. The association between DE and early pubertal maturation (EPM) remains underexplored in Israel, and has not been sufficiently examined using the widely-used SCOFF questionnaire. This study examines these associations in adolescents.

Methods
Participants (n = 2415 girls, 2095 boys; ages 12–18 years) in a nationally-representative, cross-sectional Youth Health and Nutrition Survey (2015–2016) completed self-administered questionnaires, including the SCOFF questionnaire, and underwent anthropometric measurements. EPM was determined by menarcheal age <11.5 years in girls, and facial hair appearance <12.5 years in boys. Respondents affirming ≥2 SCOFF items were classified as DE cases. Multivariable logistic regression analyses examined the associations between EPM and DE.

Results
Among the participants, 12.7% of the girls and 20.4% of the boys met EPM criteria; 55.5% and 33.7%, respectively, were categorized as having DE. Following adjustment for age, socioeconomic status, ethnic background, and weight status, EPM was significantly associated with DE in girls (OR 1.47, 95%CI: 1.12–1.93) and with 3/5 SCOFF items. No such association was found in boys (OR 1.00, 95%CI: 0.77–1.28).

Conclusion
EPM in girls was associated with DE. Identifying high risk groups for DE in adolescents is crucial for early intervention and prevention.

Impact

This study included a large, nationally representative sample of Israeli adolescents and utilized the SCOFF questionnaire, a widely used screening measure for disordered eating (DE).

Following comprehensive analyses, a significant association between early pubertal maturation (EPM), defined as early menarche, and DE was documented in Israeli adolescent girls.

Identifying girls with EPM and screening for disordered eating will allow for early interventions, potentially improving physical and mental health, and preventing progression to eating disorders.
Damage due to ice crystallization
Authors: Demmenie Menno , Kolpakov Paul , van Casteren Boaz , Bakker Dirk , Bonn Daniel , Shahidzadeh Noushine 
Published: January 2025

Abstract
The freezing of water is one of the major causes of mechanical damage in materials during wintertime; surprisingly this happens even in situations where water only partially saturates the material so that the ice has room to grow. Here we perform freezing experiments in cylindrical glass vials of various sizes and wettability properties, using a dye that exclusively colors the liquid phase; this allows precise observation of the freezing front. The visualization reveals that damage occurs in partially water-saturated media when a closed liquid inclusion forms within the ice due to the freezing of the air/water meniscus. When this water inclusion subsequently freezes, the volume expansion leads to very high pressures leading to the fracture of both the surrounding ice and the glass vial. The pressure can be understood quantitatively based on thermodynamics which correctly predicts that the crystallization pressure on the inclusion boundary is independent of the volume of the liquid pocket. Finally, our results also reveal that by changing the wetting properties of the confining walls, the formation of the liquid pockets that cause the mechanical damage can be avoided.
Male sex determination maintains proteostasis and extends lifespan of daf-18/PTEN deficient C. elegans
Authors: Qu Zhi , Zhang Lu , Yin Xue , Dai Fangzhou , Huang Wei , Zhang Yutong , Ran Dongyang , Zheng Shanqing 
Published: January 2025

Abstract
Although females typically have a survival advantage, those with PTEN functional abnormalities face a higher risk of developing tumors than males. However, the differences in how each sex responds to PTEN dysfunction have rarely been studied. We use Caenorhabditis elegans to investigate how male and hermaphrodite worms respond to dysfunction of the PTEN homolog daf-18. Our study reveals that male worms can counterbalance the negative effects of daf-18 deficiency, resulting in longer adult lifespan. The survival advantage depends on the loss of DAF-18 protein phosphatase activity, while its lipid phosphatase activity is dispensable. The deficiency in DAF-18 protein phosphatase activity leads to the failure of dephosphorylation of the endoplasmic reticulum membrane protein C18E9.2/SEC62, causing increased levels of unfolded and aggregated proteins in hermaphrodites. In contrast, males maintain proteostasis through a UNC-23/NEF-mediated protein ubiquitination and degradation process, providing them with a survival advantage. We find that sex determination is a key factor in regulating the differential expression of unc-23 between sexes in response to daf-18 loss. These findings highlight the unique role of the male sex determination pathway in regulating protein degradation.
Kinetics of ion-mediated directed self-assembly of one-dimensional chains of metal nanoparticles in solution
Authors: Lim Jay Min , Ashar Naveed Muhammad , Wang Yanan , Saraf Ravi F. 
Published: January 2025

Directed self-assembly of 10 nm gold particles to form a 1D chain was initiated by adding Cd2+ salt and observed by UV-Vis spectrum in real time. Simulation-experiment analysis showed distinct “addition” and “condensation” regime confirmed by SEM.
Hundred-meter-scale MgB2 multi-filament wires with Cu stabilizer fabricated by internal Mg diffusion process
Authors: Yu Qihang , Yang Fang , Wang Qingyang , Wang Yiming , Wu Bo , Yan Guo , Feng Yong , Zhang Pingxiang 
Published: January 2025

Abstract
The high stability and current carrying properties of multi-filament long wires are fundamental to applying MgB2 superconducting materials. To ensure the current carrying properties and enhance stability, we utilized the internal Mg diffusion (IMD) process to fabricate different structures of Cu-stabilized, hundred-meter-scale MgB2 wires: 7-filament, 6 + 1-filament, 12 + 7-filament, 18 + 1-filament, 30 + 7-filament, and 36 + 1-filament. We characterized both the current carrying properties and the three-dimensional structure of these wires. The experimental results reveal that the current carrying properties strongly correlate with the integrity of the Nb barrier layer. In the 7-filament wire, the intact Nb barrier layer prevents contamination of the MgB2 superconducting phase, leading to a critical current density (J
c) of 4.16 × 105 A cm−2 at 4.2 K and 4 T. This study provides a foundation for the application of MgB2 superconducting wire.
Influence of atomic substitution on the superconducting critical temperature of scandium diboride: a computational study
Authors: Aladerah Bilal , Obeidat Abdalla 
Published: January 2025

Abstract
A computational analysis utilizing Density Functional Theory (DFT) is conducted to investigate the influence of atomic substitutions on the electronic, phononic, and superconducting properties of scandium diboride (ScB2). This investigation revealed significant enhancement in the material’s performance, notably through the doping of ScB2 with gallium and copper to produce the variants ScGaB and ScCuB. These modifications resulted in a substantial increase in the critical temperature (

T

C

), with the

T

C

of the copper-doped variant reaching up to 20.75 K. Additionally, detailed calculations of phonon dispersion relations and the density of states (DOS) along with the phonon density of states (PHDOS) were performed to evaluate the structural stability and explore the electronic hybridization between the atoms. These improvements in

T

C

, driven by strategic doping, represents a critical step in optimizing ScB2’s properties, making it more suitable for high-impact applications in advanced technological fields.
Cauchy matrix structure and the (2 + 1)-dimensional Date-Jimbo-Kashiwara-Miwa equation
Authors: Zhang Xinyuan , Li Chunxia , Zhou Zhen , Shen Tong 
Published: January 2025

Abstract
This paper applies the Cauchy matrix approach to construct the (2 + 1)-dimensional Date-Jimbo-Kashiwara-Miwa (DJKM) equation with σ
2 = ± 1 and study its integrability. By imposing certain dispersion relations on r and s of the Sylvester equation KM + ML = rs

T
, the DJKM equation is established through equations of the master function S
(i,j) = s

T

L

j

C(I + MC)−1
K

i

r. The connection of the τ function of the DJKM equation to Cauchy matrix approach is clarified. Moreover, Lax pair and exact solutions are derived for the DJKM equation systematically. It is interesting that the DJKM equation possesses diverse solutions. As examples, soliton solutions, breathers and interaction solutions are presented and illustrated under different choices of σ
2 = ± 1.
Temperature-controlled adjustable metamaterial terahertz demultiplexer design
Authors: Huang Yuanhao , Wang Yuanhui , Ma Xiaozhou , Gong Yibin , Zhang Xuanqi , Qu Zeng , Wang Jiayun 
Published: January 2025

Abstract
This paper introduces a novel temperature-controlled terahertz metamaterial demultiplexer that capitalizes on the phase transition characteristics of vanadium dioxide (VO2). The proposed demultiplexer is structured in three distinct layers: the top layer serves as a reflective layer, comprising a double-open resonance ring and a factory rectangular metal sheet; the middle layer is a polyimide dielectric isolation layer; and the bottom layer is a cross-shaped VO2 temperature-controlled layer. This design enables the effective separation of four distinct terahertz frequency bands: 0.72 THz, 1.11 THz, 0.98 THz, and 1.26 THz. Notably, the demultiplexer achieves high isolation levels exceeding −20 dB across all target frequencies, while maintaining an insertion loss of less than 1 dB. The device also exhibits extremely low insertion loss and high isolation properties, which are crucial for terahertz communication applications. Therefore, the presented design holds significant potential for application and development in the realm of terahertz communication technology, offering a viable solution for frequency separation in upcoming high-speed and broadband communication systems.