bluuebunny/crossref_metadata_2025_split huggingface dataset:
Multiobjective Phase‐Wise Teaching Learning–Based Optimization With No‐Wait Time Heuristic for Job Shop Scheduling Problem
Authors: Kommadath Remya , Maharana Debasis , Kotecha Prakash 
Published: February 2025

ABSTRACTThis study proposes a multiobjective variant of the phase‐wise teaching learning–based optimization algorithm, namely Non‐dominated Sorting phase‐wise Teaching Learning–Based Optimization (NSpTLBO), for solving the multiobjective job shop scheduling problems with unrelated parallel machines. The proposed technique is integrated with a no‐wait time heuristic mechanism that reschedules the jobs assigned to the machines so as to minimize the constraint violation. Such an approach is implemented to facilitate the determination of feasible solutions in the earlier iterations of the metaheuristic technique. The efficacy of the proposed multiobjective technique is tested on job shop scheduling problems having jobs with release and due time. The performance of the proposed NSpTLBO and the hybrid NSpTLBO heuristic mechanism is compared against five multiobjective metaheuristic and hybrid metaheuristic‐heuristic techniques. Based on the hypervolume and coverage metric, the performance of NSpTLBO with the heuristic mechanism is observed to be competitive compared with other algorithms as well as with its stand‐alone version. This study has found the presence of the heuristic mechanism to be beneficial to all the multiobjective metaheuristic techniques in determining better‐converged and diversified solutions against their stand‐alone algorithms as hybrid techniques have provided a better hypervolume ratio than their stand‐alone counterpart.
Recent Progress of Round‐the‐Clock Photocatalytic System in Environmental and Energy Applications: A Review
Authors: Li Bo , Liu Xiao‐jing , Zhu Hao‐wen , Guan Hua‐peng , Guo Rui‐tang 
Published: February 2025

AbstractThe prevailing overdependence on fossil fuels contributes to energy supply instability and pronounced price volatility. The combustion of these fuels emits considerable greenhouse gases and pollutants, further deteriorating the climate and environment. In response, Round‐the‐Clock Photocatalytic Systems (RTCPs) have emerged as a viable technological solution, attracting significant research interest due to their convenience, sustainability, and environmental benefits etc. which act as “photo‐batteries” facilitate catalytic processes in the absence of light, offering continuous operation. Given the considerable potential of RTCPs, a timely examination of recent advancements is essential to optimize efforts. This review delineates the fundamental mechanisms of RTCPs, explores innovative strategies and current developments, and addresses the challenges of scaling up production. It aims to provide new insights and serve as a foundational reference for future research on RTCPs.
Optimally Distinctive Corporate Social Responsibility Strategy: How Strategic Conformity and Differentiation Contribute to Entrepreneurial Firm Performance
Authors: Zhou Jian , Lu Yawei , Wu Zexin , Wang Hongyun 
Published: February 2025

ABSTRACTIn the high‐quality economic development context, businesses' implementation of a corporate social responsibility (CSR) strategy not only enhance legitimacy but also offers differentiation competitive advantages. However, entrepreneurial firms, constrained by their liability of newness, also face highly complex and uncertain external environments, necessitating a thoughtful consideration of their CSR strategy orientation. This paper, based on the optimal distinctiveness (OD) theory, empirically examines the impact of conformity and differentiation of CSR strategy on entrepreneurial firm performance and explores environmental uncertainty's moderating effect. The results reveal a U‐shaped relationship between strategic conformity and entrepreneurial firm performance, and an inverted U‐shaped relationship between strategic differentiation and entrepreneurial firm performance. Moreover, environmental dynamism weakens the U‐shaped relationship between strategic conformity and entrepreneurial firm performance, whereas environmental munificence strengthens the inverted U‐shaped relationship between strategic differentiation and entrepreneurial firm performance. This study expands the applicability boundaries of OD theory and provides a more dialectical perspective for entrepreneurial firms seeking to implement CSR strategy in the entrepreneurial context.
Locomotor Response to Novelty: What Does It Tell Us?
Authors: Kirschmann Erin K. , Smith Tracy T. , Shold Jenna N. , Donny Eric C. , Sved Alan F. , Thiels Edda 
Published: February 2025

ABSTRACTIndividual differences in response strategies may be utilized to identify those at risk for the development of neuropsychiatric disorders such as depression, anxiety, and substance use. One behavioral attribute that has been used to predict later mood disorders and substance use disorders is an organism's predisposition for novelty‐seeking, modeled in rodents as increased exploration of novel environments or stimuli. Despite documented correlations of locomotor response to a novel environment and disease‐specific tendencies, it remains unclear whether the “response to novelty trait” is stable across time and environments. Adolescence is an important transitional time, associated with vulnerability for neuropsychiatric disorders. Only a few studies have assessed whether variations in novelty‐seeking behaviors in adolescent animals translate to variations of susceptibility to neuropsychiatric disorders later in life, and it is unclear whether initial locomotor responses to novelty are stable across time and development. We examined whether locomotor response to a novel environment is a stable attribute across time in a series of Open Field tests in early adolescent (postnatal day [p] 23–25) late adolescent (p58–59) and adult (p72 and older) male Sprague–Dawley rats. We also examined the relation between the locomotor response to a novel environment and other measures of responding to novelty. Results suggest that locomotor response to a novel environment does not emerge as a stable behavioral attribute until late adolescence. They also suggest that locomotor response to a novel environment and novelty‐seeking, as assessed with the Novelty Place Preference paradigm, capture nonoverlapping behavioral tendencies.
Effects of Emotional Violence Experienced by Fathers From Their Partners in the Postpartum Period on Depression Level and Father–Infant Attachment
Authors: Tokgöz Kekeç Havva , Dikmen Hacer Alan 
Published: February 2025

ABSTRACTThis study was conducted to examine the effects of emotional violence experienced by fathers from their partners in the postpartum period on fathers' depression level and father–infant attachment. The data of this descriptive and correlational study were collected from 350 fathers of infants aged 3–12 months in the postpartum period. Data were collected using a personal information form, the Edinburgh Postpartum Depression Scale (EPDS), and the Paternal–Infant Attachment Questionnaire (PIAQ). The independent‐sample t‐test, the chi‐square test, Fisher's Exact Test, the Fisher Freeman Halton test and Linear Regression were used for the data analyzes. The rate of emotional violence experienced by the fathers was 43%. Fathers who were exposed to emotional violence by their spouses had higher EPDS total scores (p = 0.001), while their PIAQ total scores (p = 0.001) were statistically significantly lower (p < 0.01). A weak and statistically significant correlation was found between EPDS total scores and PIAQ total scores (r = –0.357, p = 0.001). According to linear regression analysis, the effect of emotional violence on fathers' depression level (p < 0.001) and father–infant attachment level (p < 0.001) was statistically significant. Health professionals should identify the perpetrators and victims of violence and refer them to relevant rehabilitative resources for the welfare of families and newborns.
The Assembly of Fish Gut Microbiomes Through Habitat Variation Provides Insight Into Redbelly Tilapia Invading a Large Subtropical River
Authors: Liu Yaqiu , Li Xinhui , Li Yuefei , Li Huifeng , Li Jie 
Published: February 2025

ABSTRACTThe environment in which fish reside markedly shapes the composition of their gut microbiome. However, the precise mechanisms by which the assembly process of fish gut microbiota adapts to diverse habitat conditions remain largely uncharted, especially in the case of invasive tilapia, renowned for its remarkable adaptability to environmental changes. In this study, we employed high‐throughput 16S rRNA gene sequencing to explore the gut microbiome of redbelly tilapia from three distinct habitats. Our results showed substantial disparities in both the composition and diversity (alpha and beta) of the gut microbiome between wild and pond‐cultured redbelly tilapia. Notably, stochastic processes emerged as the dominant forces governing the assembly of the gut microbial community in redbelly tilapia. As the habitat shifted from pond‐cultured to wild, the influence of undominated processes in gut microbial community assembly waned, while the effect of dispersal limitation intensified. Co‐occurrence network analysis suggested that habitat variation contributed to the enhanced complexity of the gut microbial network in invasive tilapia during their transition from pond to wild environments. Across the three distinct habitats, variations were observed in the influence of environmental factors on the gut microbiota of tilapia. Moreover, our findings demonstrated that the gut microbiome of wild tilapia possessed unique characteristics, such as higher alpha diversity and a relatively greater abundance of genes encoding putative cellulolytic enzymes crucial for digesting the preferred food source of tilapia (hydrophytes), particularly in fragmented habitats with well‐developed cascade dams. Additionally, we identified that OTU8895 (Clostridum_sensu_stricto_1) and OTU11387 (unclassified Bacilli) were core biomarkers of the gut bacterial community in wild redbelly tilapia, offering valuable insights for the monitoring and management of invasive tilapia populations.
Optimizing eDNA Metabarcoding Techniques for Assessing Arthropod Communities in Tree‐Related Microhabitats
Authors: Shuvo Mohammad Jamil , Tabassum Tasmina , Segelbacher Gernot 
Published: February 2025

ABSTRACTUnderstanding the diversity and ecological roles of arthropods within tree‐related microhabitats (TreMs) is crucial for forest ecosystem conservation and management. In our study, we aimed to identify the most effective environmental DNA (eDNA) metabarcoding approach for capturing ecologically important arthropod species primarily inhabiting the near‐ground‐level TreMs. We evaluated the use of COI and 16S primers for eDNA metabarcoding and compared direct and indirect eDNA sampling methods, including lying deadwood sediment sampling (LDS), standing deadwood sediment sampling (SDS), soil sampling (SS), and tree surface roller sampling (TSRS). Our results indicated significant biases and challenges, particularly in primer selection, with COI outperforming 16S in taxonomic resolution for most arthropod taxa. Our TSRS method effectively captured 408 OTUs at the species level, with the highest number of ecologically significant arthropods associated with TreMs compared to other approaches. Direct sampling from sediments revealed a higher abundance of fungi than arthropods, impacting diversity estimates. We also observed habitat‐specific preferences among arthropods, with certain sampling methods capturing distinct taxa. Our findings underscore the importance of carefully selecting sampling methods and validating primers in eDNA metabarcoding studies and provide insights into the complexity of arthropod communities in TreMs. Optimized methods will advance monitoring techniques for forest ecosystems and inform conservation efforts to preserve arthropod diversity in TreMs.
Is Policy Coherence Leaving No One Behind? Analyzing Gender Inequality in the Governance of the Sustainable Development Goals in India
Authors: Theeuwes Nikki J. J. , Vijge Marjanneke J. , Beumer Koen 
Published: February 2025

ABSTRACTThe pledge to Leave No One Behind is central to the 2030 Agenda and cuts across all the Sustainable Development Goals (SDGs). To realize this cross‐sectoral approach to inequality, policy coherence is considered an important tool. This article questions whether and how policy coherence leaves no one behind. We focus on the often‐overlooked politics of policy coherence by studying gender inequalities in institutions, interests, and ideas in subnational governance processes for SDG implementation in India. Our findings show that policy coherence does not automatically reach the furthest behind in India. Despite ambitions to Leave No One Behind, SDG policy coherence processes are built around pre‐existing, unequal and often siloed government structures, interests, and ideas. While this enhances national ownership, it also perpetuates inequalities in SDG policy coherence processes, including around gender. We argue that paradoxically, in seeking to implement all the SDGs equally for all, countries need to prioritize between competing goals in which historically prioritized institutions, interests, and ideas prevail over others. The article raises important questions about the universal applicability of policy coherence as means to achieve the SDGs and calls for further research on the synergies and trade‐offs between policy coherence and Leave No One Behind in different (sub)national contexts.
Does the Quality of Political Institutions Matter for the Effectiveness of Environmental Taxes? An Empirical Analysis on CO2 Emissions
Authors: Baiardi Donatella , Scabrosetti Simona 
Published: February 2025

ABSTRACTFocusing on a sample of 39 countries in the period 1996–2017, we analyze whether the relationship between environmental taxes and CO2 emissions depends on the quality of political institutions. Our results show that an increase in the environmental tax revenue is related to a reduction in CO2 emissions only in countries with more consolidated democratic institutions, higher civil society participation, and less corrupt governments. Moreover, the relationship between CO2 emissions and revenue neutral shifts to different tax sources depends not only on the quality of political institutions, but also on the kind of externality the policymaker aims at correcting.
Pre‐fabricated TRC Panels Versus TRM Jacketing for Integrating Seismic and Energy Retrofitting: Bi‐Directional Shaking Table Tests on Three Masonry‐Infilled RC Buildings
Authors: Baek Eun Rim , Pohoryles Daniel Alexander , Bournas Dionysios A. 
Published: February 2025

ABSTRACTTwo novel integrated seismic and energy retrofitting solutions for existing buildings are experimentally assessed in this study. Three 60%‐scaled, two‐storey infilled reinforced concrete buildings underwent a series of bi‐directional shaking table tests. The control building represented a part of a typical Korean school building with seismic design deficiencies and suffered out‐of‐plane (OOP) failure of the second‐storey infill panels at maximum considered earthquake. Two retrofitting schemes based on textile‐reinforced cement‐based composites were evaluated as follows: (1) newly developed ‘textile capillary‐tube panels’ (TCPs), namely pre‐fabricated textile‐reinforced concrete (TRC) with integrated capillary tubes, and (2) a combination of textile‐reinforced mortar (TRM) with thermal insulation. Additionally, the presence of openings in the infills, as well as the effect of different types of anchorage of the textile reinforcement were studied. At the design level earthquake, both retrofitted buildings presented next to no damage, compared to the control structure that was in a state of near‐collapse. The retrofitted structures reached double the intensity of the design earthquake, with the shaking table reaching its maximum acceleration capacity, yet no irreversible damage was observed. The strength increase for both retrofitted buildings was +110% compared to the un‐retrofitted building in the direction with openings, in which both buildings were retrofitted with TRM. For the fully infilled direction, the TRM‐retrofitted building recorded more than double the inter‐storey drifts compared to the TCP‐retrofit, and reached its peak strength (+120% compared to the control building). The TCP‐retrofitted building, instead, displayed a stiffer response with reduced deformations due to the carbon textiles employed in the precast panels. For both retrofits OOP damage was prevented, also demonstrated by the measured accelerations at the centre of the infills.
Discipline matters: A disciplinary comparison of university students' course experience and learning outcomes in China
Authors: Meng Xuanyi , Guo Yangyang , Wang Wenyan , Yin Hongbiao 
Published: February 2025

AbstractDisciplinary difference is an important issue for the research on student learning in higher education. Based on responses from 2104 Chinese undergraduates, the study utilized a quantitative research approach to examinng the disciplinary differences in terms of course experience and its relations to two desirable learning outcomes (overall satisfaction and academic efficacy [AC]) for students majoring in science, technology, engineering, and mathematics (STEM) and humanities and social sciences (HSS). Specifically, course experience consisted of six dimensions: clear goals, generic skills, emphasis on independence, good teaching, appropriate workload, and appropriate assessment. The results of structural equation modeling showed that some similar relations existed between students majoring in STEM or HSS. For instance, clear goals could not predict overall satisfaction or AC, while generic skills were significantly related to both; appropriate workload could negatively affect AC of students with different majors. Meanwhile, several significant differences in the relationships between course experience and learning outcomes also appeared. The effects of emphasis on independence, good teaching, and appropriate workload on learning outcomes were distinct between STEM and HSS students. For instance, emphasis on independence was positively related to STEM students' overall satisfaction but had no significant effect on HSS students' satisfaction. These differences may result from the significant distinctions in learning contents, aims, and strategies between STEM and HSS disciplines. These findings not only enrich current literature on university students' learning experience, but also provide implications for improving teaching and learning in higher education institutions in the post‐pandemic era.
Challenging Conventional Perceptions of Oncogenes and Tumor Suppressor Genes: A Comprehensive Analysis of Gene Expression Patterns in Cancer
Authors: Zou Mingyuan , Qiu Li , Wu Wentao , Liu Hui , Xiao Han , Liu Jun 
Published: February 2025

ABSTRACTIdentifying genes involved in cancer is crucial for understanding the underlying molecular mechanisms of the disease and developing effective treatment strategies. Differential expression analysis (DEA) is the predominant method used to identify cancer‐related genes. This approach involves comparing gene expression levels between different samples, such as cancerous and non‐cancerous tissues, to identify genes that are significantly upregulated or downregulated in cancer. DEA is based on the commonly believed assumption that genes upregulated in cancerous tissues have the potential to function as oncogenes. Their expression levels often correlate with cancer advancement and unfavorable prognosis, whereas downregulated genes display the opposite correlation. However, contrary to the prevailing belief, our analysis utilizing The Cancer Genome Atlas (TCGA) databases revealed that the upregulated or downregulated genes in cancer do not always align with cancer progression or prognosis. These findings emphasize the need for alternative approaches for identifying cancer‐related genes that may be more accurate and effective. To address this need, we compared the effectiveness of machine learning (ML) methods with that of traditional DEA in the identification of cancer‐related genes. ML algorithms have the advantage of being able to analyze large‐scale genomic data and identify complex patterns that may go unnoticed by traditional methods. Our results demonstrated that ML methods significantly outperformed DEA in the screening of cancer‐related genes.
Strategic Coding in the Assessment of Long‐Term Care Needs: Evidence From France
Authors: Roy Delphine 
Published: February 2025

ABSTRACTThere is strong evidence of “upcoding” whereby health care providers overstate the severity of disease to increase billing revenue. Much less is known about strategic coding in the assessment of patient eligibility for long‐term care. This paper takes advantage of a unique French linked survey dataset to document how patient assessment depends critically on the incentives of the assessing agents. I find that nursing homes assess their patients to be more disabled (thus increasing their revenue) compared to community assessors who seek to minimize disability payments levels. Public hospital‐owned long‐term care facilities are more likely to overrate disability levels; there is also evidence that cognitively impaired or socially disadvantaged patients exhibit more disability upcoding. In the context of nursing homes, upcoding might be read as “side‐coding,” driven by flaws in the assessment tool that does not allow the care provider to adequately fund the time they spend on these patients. Conversely, assessors of patients living in the community could downcode disability to shift some of the care tasks to informal caregivers.