bluuebunny/crossref_metadata_2025_split huggingface dataset:
Emotional Control in Education: Insights From High‐Achievers in PISA 2022
Authors: Pongsophon Pongprapan 
Published: January 2025

ABSTRACTThis study delves into the determinants of emotional control among 6606 Singaporean students, aged 15 years old, participating in the Programme for International Student Assessment (PISA) 2022. It aims to explore the various factors contributing to emotional control, utilizing multiple regression analysis on data from PISA's comprehensive 2022 dataset. This research seeks to identify and analyze key contributors to emotional control among these high‐performing students. Using R programming, the study entailed both descriptive and multiple regression analyses, with special attention to weighting within this large‐scale, complex survey. The findings reveal the multifaceted nature of factors influencing emotional control. Key positive influences identified include stress resistance and perseverance, while empathy and a sense of belonging also play significant, albeit less dominant, roles. An interesting observation is the slight inverse relationship between assertiveness and emotional control, suggesting a complex interplay of this trait with resilience. The model demonstrates moderate explanatory power, explaining about 31% of the variation in emotional control. The insights from this study carry significant implications for holistic education, targeted interventions, and curriculum development. By shedding light on the dynamics of emotional control in high‐achieving students, this research can guide the formulation of more effective and empathetic educational strategies.
The Validity, Reliability, and Responsiveness of the Turkish Version of the Adolescent Health Promotion Scale‐Short Form
Authors: İnci Fadime Hatice , Çelik Ferhat 
Published: January 2025

ABSTRACTThe aim of this study is to examine the validity, reliability, and responsiveness of the Turkish version of the Adolescent Health Promotion‐Short Form (AHP‐SF). This cross‐sectional study was completed with 1483 students. Confirmatory factor analysis (CFA) supported the construct validity of the scale, demonstrating a good model fit with acceptable fit indices. Discriminant validity was established, revealing that lower AHP‐SF scores were associated with an increased likelihood of unhealthy weight and chronic diseases. Reliability analyses revealed strong internal consistency, with Cronbach's alpha and McDonald's omega values indicating a high level of homogeneity among items. Test–retest reliability showed excellent stability, with no significant score differences between the two administrations. Differential item functioning (DIF) related to age suggests some items may perform differently for younger and older adolescents. However, most items showed negligible DIF, indicating reliable measurement of health‐promoting behaviors across age groups. Item discrimination, difficulty, infit, and outfit results were within acceptable values. The AHP‐SF is a valid and reliable tool for evaluating health‐promoting behaviors of adolescents in Turkey. Nurses can assess health‐promoting behaviors of adolescents in a short time by using this scale.
DisDock: A Deep Learning Method for Metal Ion‐Protein Redocking
Authors: Lin Menghan , Li Keqiao , Zhang Yuan , Pan Feng , Wu Wei , Zhang Jinfeng 
Published: January 2025

ABSTRACTThe structures of metalloproteins are essential for comprehending their functions and interactions. The breakthrough of AlphaFold has made it possible to predict protein structures with experimental accuracy. However, the type of metal ion that a metalloprotein binds and the binding structure are still not readily available, even with the predicted protein structure. In this study, we present DisDock, a deep learning method for predicting protein‐metal docking. DisDock takes distogram of randomly initialized protein‐ligand configuration as input and outputs the distogram of the predicted binding complex. It combines the U‐net architecture with self‐attention modules to enhance model performance. Taking inspiration from the physical principle that atoms in closer proximity display a stronger mutual attraction, this predictor capitalizes on geometric information to uncover latent characteristics indicative of atom interactions. To train our model, we employ a high‐quality metalloprotein dataset sourced from the Mother of All Databases (MOAD). Experimental results demonstrate that our approach outperforms other existing methods in prediction accuracy for various types of metal ions.
Enhancement of Sensitivity Near Exceptional Points in Dissipative Qubit‐Resonator Systems
Authors: Han Pei‐Rong , Wu Fan , Huang Xin‐Jie , Wu Huai‐Zhi , Zou Chang‐Ling , Yi Wei , Zhang Mengzhen , Li Hekang , Xu Kai , Zheng Dongning , Fan Heng , Wen Jianming , Yang Zhen‐Biao , Zheng Shi‐Biao 
Published: January 2025

AbstractDissipation usually plays a negative role in quantum metrological technologies, which aim to improve measurement precision by leveraging quantum effects that are vulnerable to environment‐induced decoherence. Recently, it has been demonstrated that dissipation can actually be used as a favorable resource for enhancing the susceptibility of signal detection. However, demonstrations of such enhancement for detecting physical quantities in open quantum systems are still lacking. Here a protocol is proposed and demonstrated for realizing such non‐Hermitian quantum sensors for probing the coupling between a qubit and a resonator subjecting to energy dissipations. The excitation‐number conversion associated with the no‐jump evolution trajectory enables removal of the noisy outcomes with quantum jumps, implementing the exceptional point (EP), where the Rabi splitting exhibits a divergent behavior in response to a tiny variation of the effective coupling. The sensitivity enhancement near the EP is confirmed by both theoretical calculation and experimental measurement.
Possible mechanisms of spermatogenic dysfunction induced by viral infections: Insights from COVID‐19
Authors: Okada Keisuke , Kin Chanhyon , Yamashita Yosuke , Kawamura Shun , Sato Katsuya , Chiba Koji , Miyake Hideaki 
Published: January 2025

AbstractBackgroundAs the COVID‐19 pandemic nears resolution in 2024, the mechanisms by which SARS‐CoV‐2 and other viral infections induce spermatogenic dysfunction remain poorly understood. This review examines the mechanisms by which viral infections, particularly COVID‐19, disrupt spermatogenesis and highlights the implications for male reproductive health. While reports suggest that spermatogenic dysfunction caused by COVID‐19 is mild and transient, these findings may have broader applications in understanding and treating spermatogenic dysfunction caused by future viral infections.MethodsThe PubMed database was searched to identify original and review articles investigating the mechanisms by which viral infections, particularly SARS‐CoV‐2, contribute to spermatogenic dysfunction.Main FindingsSARS‐CoV‐2 affects the testis through multiple mechanisms, including ACE2 receptor‐mediated entry, direct viral damage, inflammatory response, blood–testis barrier disruption, hormonal imbalance, oxidative stress, and impaired spermatogenesis. The combination of these factors can disrupt testicular function and highlights the complexity of the effects of COVID‐19 on male reproductive health.ConclusionCOVID‐19 may disrupt spermatogenesis through direct testicular infection, systemic inflammation, hormonal disruption, and oxidative stress. Ongoing research, vaccination efforts, and clinical vigilance are essential to address these challenges and develop effective treatment and prevention strategies.
Exploring Undergraduate Students' Conceptions of Environmental Education Through Phenomenographic Analysis
Authors: Luan Hui , Syu Yi‐Lun , Lee Min‐Hsien , Tsai Chin‐Chung 
Published: January 2025

ABSTRACTThe core function of science education is to equip students with scientific literacy, enabling them to understand complex environmental challenges and actively engage in proenvironmental behaviors. Therefore, understanding students' conceptions of environmental education is crucial for advancing environmental education. In this study, we explored undergraduate students' conceptions of environmental education and its relationship to approaches to learning from a phenomenographic perspective. We conducted interviews with 36 undergraduates and identified 5 qualitatively different categories of conceptions of environmental education, namely, “receiving information,” “disseminating and communicating,” “understanding,” “awareness and reflective thinking,” and “solving problems and taking action.” These categories are hierarchically ordered from lowest to highest, reflecting increasing complexity. Specifically, the first two were categorized as passive conceptions, while the last three were classified as active conceptions. Our findings showed that passive and active conceptions were evenly distributed among the students. In addition, a χ2 analysis revealed an observable correlation between students' conceptions and their adopted learning strategies. Particularly, students with more passive conceptions tended to employ surface learning strategies, whereas those with more active conceptions were inclined toward deep learning strategies. The implications of these findings for promoting students' proenvironmental behavior are discussed.
Bayesian Modeling of Cancer Outcomes Using Genetic Variables Assisted by Pathological Imaging Data
Authors: Im Yunju , Li Rong , Ma Shuangge 
Published: January 2025

ABSTRACTWith the increasing maturity of genetic profiling, an essential and routine task in cancer research is to model disease outcomes/phenotypes using genetic variables. Many methods have been successfully developed. However, oftentimes, empirical performance is unsatisfactory because of a “lack of information.” In cancer research and clinical practice, a source of information that is broadly available and highly cost‐effective comes from pathological images, which are routinely collected for definitive diagnosis and staging. In this article, we consider a Bayesian approach for selecting relevant genetic variables and modeling their relationships with a cancer outcome/phenotype. We propose borrowing information from (manually curated, low‐dimensional) pathological imaging features via reinforcing the same selection results for the cancer outcome and imaging features. We further develop a weighting strategy to accommodate the scenario where information borrowing may not be equally effective for all subjects. Computation is carefully examined. Simulations demonstrate competitive performance of the proposed approach. We analyze TCGA (The Cancer Genome Atlas) LUAD (lung adenocarcinoma) data, with overall survival and gene expressions being the outcome and genetic variables, respectively. Findings different from the alternatives and with sound properties are made.
Silver Nanoparticles Incorporated Covalent Organic Framework Catalyzed Sustainable Synthesis of Cyclic Carbonates and Oxazolidinones Under Atmospheric CO2 Pressure: A Novel Approach of CO2 Utilization
Authors: Mondal Titu , Sarkar Priyanka , Islam Mohammad Shahidul , Dahlous Kholood A. , Manirul Islam Sk. 
Published: January 2025

AbstractThis work presents the facile synthesis of Ag nanoparticles‐decorated porous crystalline covalent organic frameworks (namely, Ag@TPT‐TP COF) having exceptional surface area and CO2 uptake capacity to facilitate CO2‐cyclization reactions to produce highly value‐added compounds. Several characterization techniques have been used to thoroughly analyze the as‐synthesized nanomaterial, Ag@TPT‐TP COF. The synthesized Ag NPs‐embedded 2D COF serves as a stable and active porous catalyst for the synthesis of cyclic carbonates from a variety of epoxides and derivatives of 2‐oxazolidinone from propargyl alcohols and amines with high yield and selectivity of the corresponding products via fixation of CO2 (1 atm) under sustainable reaction conditions. The functionalized porous catalyst (Ag@TPT‐TP COF) exhibited exceptional recyclability for both reactions up to six consecutive runs without any visible deterioration in the catalytic activity. Consequently, formation of wide range of compounds are dramatically expanded by these organic transformations and provide a possible pathway for CO2 functionalization to get beyond the energy barrier in this area.
Eco‐Friendly Synthesis of 2,3‐Disubstituted Thiazolidine‐4‐One Derivatives Via A Multicomponent Reaction with Microwave Irradiation in a Chiral Ionic Liquid Medium
Authors: Gundogdu Hizliates Cevher , Oncuoglu Serkan 
Published: January 2025

AbstractThiazolidinone (TZD) derivatives, especially those containing a 1,3‐thiazolidine‐4‐one core, are highly valued in drug design due to their broad spectrum of biological activities, including antimicrobial, antidiabetic, anticancer, and anti‐inflammatory effects. These compounds are considered “privileged scaffolds” due to their potential in developing novel therapeutic agents. Traditional methods for synthesizing TZD derivatives involve condensation reactions that typically require toxic catalysts and organic solvents, often resulting in low yields. These drawbacks have spurred the development of more sustainable and efficient synthesis methods. Recent advancements focus on green and efficient techniques, such as microwave heating, solid‐phase synthesis, and the use of ionic liquids (ILs). ILs, particularly chiral ionic liquids (CILs), offer significant benefits, including non‐volatility, recyclability, and high thermal stability, making them ideal for multicomponent reactions. Their use improves both sustainability and reaction efficiency. In one recent study, a one‐pot, three‐component reaction was conducted with aromatic aldehyde, aromatic amine, and thioglycolic acid in the presence of the chiral ionic liquid 1‐(S‐2'‐methyl butyl)‐3‐methyl imidazolium tetrafluoroborate [mbmi][BF4]. This method, utilizing microwave irradiation, enabled the rapid and highly efficient synthesis (88–96% yield) of various 2‐(3‐halophenyl)‐3‐(methoxy‐substituted phenyl) thiazolidine‐4‐one derivatives. Notably, several compounds, including 3d, 3e, 3g, 3h, and 3i, were synthesized for the first time, highlighting the effectiveness of CILs in the green synthesis of TZD derivatives.
Partially Substituted La for Sm in Sm0.8Sr0.2NiO3: An Efficient Electrocatalyst Towards Alkaline Water Splitting
Authors: Parihar Reena , Mishra Prakhar , Yadav Pradeep Kumar , Singh Narendra Kumar 
Published: January 2025

AbstractPerovskite‐type oxides having composition LaxSm0.8−xSr0.2NiO3 (0 ≤ x ≤ 0.6) were explored for their ability to act as facilitators for oxygen evolution reaction (OER) in alkaline media. Synthesis of the materials was conducted through a sol‐gel procedure via malic acid. The materials underwent advanced physicochemical characterization utilizing techniques, namely transmission electron microscope (TEM), scanning electron microscope/energy dispersive X‐ray spectroscopy (SEM/EDS), inductively coupled plasma – mass spectrometry (ICP‐MS) and X‐ray diffraction (XRD). These analyses provided crucial details about the material’s particle size, surface morphology/chemical composition and crystalline structure, opening up exciting possibilities for their diverse applications. From TEM analysis, the average particle size of the oxide materials has been estimated and found to be 5.9 nm for Sm0.8Sr0.2NiO3 and 4.8 nm for La0.6Sm0.2Sr0.2NiO3. The particle size of the oxide material decreases when La was partially substituted for Sm in Sm0.8Sr0.2NiO3. Cyclic voltammetry and Tafel plot were observed for the electrochemical analysis in 1 M KOH (25 °C). An investigation on the anodic polarization of oxides revealed an increased electrocatalytic activity when La was partially substituted for Sm in Sm0.8Sr0.2NiO3. La0.6Sm0.2Sr0.2NiO3 was found to be most active at 800 mV with a current density, j = 184.1 mA/cm2. The Tafel experiment was conducted in 1M KOH at varying temperatures to determine thermodynamic properties like standard electrochemical energy of activation (), standard enthalpy of activation (ΔH°#), and standard entropy of activation (ΔS°#).
Backbone Engineering of Bithiophene Imide Dimer‐Based Polymeric Mixed Ionic‐Electronic Conductors for High‐Performance n‐Type Organic Electrochemical Transistors
Authors: Zhang Xiage , Zhu Rongjin , Yang Wanli , Wang Keli , Ding Riqing , Jeong Sang Young , Woo Han Young , Feng Kui , Guo Xugang 
Published: January 2025

AbstractPolymeric mixed ionic‐electronic conductors (PMIECs) are gaining significant attention due to their potential applications in organic electrochemical transistors (OECTs). However, the performance of n‐type OECTs still lags behind that of their p‐type counterparts. Here, the structure‐performance correlation of fused bithiophene imide dimer (BTI2)‐based PMIECs is systematically investigated with the backbone evaluation from acceptor‐strong donor (A‐SD) to acceptor‐donor (A‐D), to acceptor‐weak donor (A‐WD), to acceptor‐weak acceptor (A‐WA), and finally to A‐A structures. Compared to other PMIECs, the A‐A backbone‐based PMIEC PBTI2g‐BTI features the most suppressed lowest unoccupied molecular orbital energy level, a highly planar backbone, and superior n‐type electrochemical dopability. Consequently, polymer PBTI2g‐BTI delivers an exceptional unipolar n‐type OECT performance with a high electron mobility of 0.25 cm2 V⁻¹ s⁻¹ and a remarkable µC* value of 63.79 F cm⁻¹ V⁻¹ s⁻¹, both of which are significantly higher than those of other types of PMIECs. This study demonstrates that the A‐A backbone strategy is an effective approach to developing high‐performance n‐type PMIECs for applications in OECTs.
Hierarchical Planning Applied to the Preliminary Design of CubeSats: Nanospace Study
Authors: Gateau Thibault , Cordero Sophia Salas , Vingerhoeds Rob 
Published: January 2025

ABSTRACTCubeSat design has been already studied and formalized but knowledge representation remains a challenge. The management of human‐learnt knowledge during the process is not an aspect that is often spoken about. This paper discusses the proposal of integrating a hierarchical planning approach with a model‐based one to the open‐source Nanospace framework, a web‐based application for concurrent engineering during the preliminary design phase of CubeSats. Hierarchical planning aids to introduce commonly tacit human expertise, an aspect that the preliminary design of CubeSats can benefit from. The proposed integration could allow a faster design convergence and faster inspection of candidate architectures The Nanospace framework itself may benefit from an approach bringing in model‐based efforts and hierarchical planning facilitate knowledge representation and reuse. A use case on the CREME CubeSat project is detailed, emphasizing how to impregnate the design iterations with experts' knowledge.
Radial Stress Distribution in Micro Dry‐Etched Perfluorinated Polymer Optical Fibers
Authors: Nakanishi Takuto , Nakashima Ryo , Ishida Keito , Wada Yuji , Lo Cheng‐Yao , Nakamura Kentaro , Lee Heeyoung , Mizuno Yosuke , Yamane Daisuke 
Published: January 2025

AbstractThis paper presents the first investigation into how the dry etching depth of the reinforcement layer in perfluorinated polymer optical fibers (PF‐POFs) influences radial stress distribution. Using finite element method simulations, we model the PF‐POF structure based on the actual dry‐etched profiles achieved through reactive ion etching (RIE). The results demonstrate that increasing the etching depth leads to higher radial stress in both the core and cladding layers when strain is applied longitudinally. These findings suggest that RIE processes present a feasible method for tuning the sensitivity of PF‐POF‐based strain sensors. © 2025 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.
A Novel Shortcut to Cubical Perspective Drawing
Authors: Olivero Lucas Fabian , Araújo António Bandeira , Rossi Adriana 
Published: January 2025

Abstract
The article introduces a novel construction that simplifies the drawing of cubical perspectives. A recent work described a method for drawing cubical perspectives which classifies lines into several types and renders each type systematically. Some of these types require an auxiliary external construction, hindering the drawing process. This research proposes a novel method that shortcuts this step with an internal construction. This method both accelerates and simplifies the studio process, reduces systematic errors, and makes freehand sketching more viable and precise. Next, the shortcut is applied through the case of the Solimene factory (Italy), an organic architecture that highlights both the issues inherent to cubical representation and the advantages of the proposed shortcut.
Mentalisierungsbasierte Therapie für Jugendliche mit Störungen des Sozialverhaltens
Authors: Taubner Svenja , Hauschild Sophie 
Published: January 2025

Zusammenfassung
Die Mentalisierungsbasierte Therapie (MBT) ist eine evidenzbasierte integrative Therapie, die für die Behandlung von Patient:innen mit Borderline-Persönlichkeitsstörungen entwickelt wurde. In den letzten Jahren wurden das Verfahren auf andere Patient:innengruppen ausgedehnt. Im vorliegenden Beitrag stellen wir die neue Anwendung der MBT für Jugendliche mit Störungen des Sozialerhaltens vor (MBT-SSV), für die weitere Elemente, wie z. B. Familientherapie und Motivational Interviewing, in die Therapie integriert wurden. Im Rahmen einer Machbarkeitsstudie wurde überprüft, ob Therapeut:innen in Ausbildung verschiedener Grundorientierungen die MBT-SSV manualgetreu anwenden können. Dabei zeigten sich spezifische Anwendungsunterschiede in Abhängigkeit vom jeweiligen Verfahren.