Childbearing and Family Instability: The Impact of Children on Women's Divorce Probability in Iran by Davoud Shahpari Sani, Mohammad Jalal Abbasi Shavazi

“…A secondary analysis of two-percent sample from the 2016 census data reveals that both childlessness and the number of children in a household significantly affect the probability of divorce among women. …”
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Adsorption of Macrolide Antibiotics by Aged Microplastics of Different Sizes: Mechanisms and Effects by Qi Li, Jingnan Tan, Haichao Sha, Ke Li, Xi Li

“…In this study, potassium persulfate (K₂S₂O₈) was used to simulate the natural aging process of PS MPs. …”
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Targeting SLC4A4: A Novel Approach in Colorectal Cancer Drug Repurposing by Krunal Pawar, Pramodkumar P. Gupta, Pooran Singh Solanki, Ravi Ranjan Kumar Niraj, Shanker L. Kothari

“…A model of the human SLC4A4 structure was generated based on CryoEM data (PDB ID 6CAA), and drug candidates from the DrugBank database were evaluated using two computational tools (DrugRep and CB-DOCK2). …”
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Cationic Mismatch Effect Induced by Double Substitution on the Structural and Magnetic Properties of La_0.5Ca_0.5MnO₃ by Wadie Abdelhedi, Akram Krichene, Wahiba Boujelben, Nassira Chniba-Boudjada

“…These samples were synthesized using the sol–gel method. XRD analysis confirms structural stability despite the induced disorder, showing subtle lattice distortions. …”
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Unveiling the qualities of a ‘good doctor’: family carers’ and healthcare professionals’ perspective on dementia healthcare in India by Upasana Baruah, Rachita Rao, Josefine Antoniades, Santosh Loganathan, Mathew Varghese, Claudia Cooper, Mike Kent, Briony Dow, Bianca Brijnath

“…The research involved qualitative face-to-face interviews with 19 family carers and 25 healthcare professionals in Bengaluru, India, with data collected between March and July 2022. Results Using a thematic analysis framework, four main themes emerged: [1] accessibility and availability [2], empathetic engagement and effective communication [3], knowledge and competency, and [4] systemic reforms and culturally competent multilevel support. …”
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The Role of Genetics in Human Oral Health: A Systematic–Narrative Review by Anita Joy-Thomas, Zarna Lalwani, Leticia Guajardo, John Valenza, Walid D. Fakhouri

“…An enhanced understanding of the impact of genetics on oral health will provide a better understanding of the implications of inherited or de novo genetic mutations and their potential interactions with environmental factors. <b>Conclusions</b>: The data collection and analysis indicate 25 oral conditions with strong genetic components and 2 with moderate genetic contributions (fibrous dysplasia and impacted teeth), while 14 oral conditions seem to have weak genetic contributions. …”
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Exploring the driving factors of compound flood severity in coastal cities: a comprehensive analytical approach by Y. Liu, T. Zhang, Y. Ding, A. Kang, X. Lei, J. Li

“…Additionally, the model quantifies the interactions between fluvial flooding and pluvial flooding. …”
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Effect of Social Media Marketing of Luxury Brands on Brand Equity, Customer Equity and Customer Purchase Intention by Rizwan Raheem Ahmed, Erum Zahoor Zaidi, Syed Hasnain Alam, Dalia Streimikiene, Vishnu Parmar

“…For this purpose, we employed structural equation modeling using Smart-PLS 3.0, the data of 312 respondents were collected through structured questionnaire. …”
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Assessing relative contributions of climate and socio-environmental factors to ecosystem health through space–time interpretable machine learning by Xiaoliang Meng, Junyi Wu, Yichun Xie, Yongfei Bai, Chenghu Zhou, Yuchen Li

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Workplace sustainability: energy-saving behaviors in office environments of Thailand by Su Wutyi Hnin, Su Wutyi Hnin, Amna Javed, Jessada Karnjana, Chawalit Jeenanunta, Youji Kohda

“…Using Partial Least Squares Structural Equation Modeling (PLS-SEM), this study validated the framework to analyze the relationships between motivation, opportunity, ability, intention, and behavior within hierarchical workplace structures and collective decision-making settings.ResultsThe results highlight motivation and ability as significant predictors of energy-saving behavior, reinforcing the role of awareness of consequences, personal norms, and perceived control. …”
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Prevalence of menstrual pain and symptoms and their association with age and BMI among Japanese female app users by Shuxian Liu, Daisuke Yoneoka, Hitomi Suzuki, Kiriko Sasayama, Eiko Saito, Yuna Naraoka, Momo Hosokawa, Ataru Igarashi, Erika Ota

“…This cross-sectional study analyzed data from Japanese female Sofy app users aged 12–51 years, collected between March 4, 2021, and August 17, 2023. …”
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An overview of pink eye infection to evaluate its medications: group decision-making approach with 2-tuple linguistic T-spherical fuzzy WASPAS method by M. Waheed Rasheed, Hind Y. Saleh, Areen A. Salih, Jahangeer Karamat, Muhammad Bilal

“…The constructed multi-attribute group decision-making framework includes the following scenario: (1) In contrast to other types of fuzzy sets, the 2-tuple linguistic T-spherical fuzzy set (2TLT-SFS) looks to be a potent tool for dealing with informational inconsistencies in decision-making scenarios; (2) in order to render the 2TLT-SF accumulation details processing more flexible, the addition, multiplication, scalar multiplication, and exponential laws that are predicated on the Schweizer-Sklar collection of t-conorms and t-norms are described; (3) the Schweizer-Sklar weighted average and Schweizer-Sklar weighted geometric operators are then put forward employing the aforementioned operations to combine the data; (4) subsequently, using newly developed operators (referred to as 2TLT-SF Schweizer-Sklar weighted average and 2TLT-SF Schweizer-Sklar weighted geometric), this work enhances the conventional weighted aggregated sum product assessment (WASPAS) approach. …”
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Association of work performance and interoceptive awareness of ‘body trusting’ in an occupational setting: a cross-sectional study by Ko Matsudaira, Masaru Mimura, Daisuke Fujisawa, Chisato Tanaka, Kenta Wakaizumi, Shizuko Kosugi, Shintaro Tanaka, Hiroshi Morisaki

“…Participants’ sociodemographic, health and lifestyle characteristics were collected from their annual health check data. The association between work performance and body trusting was examined using multivariable regression analyses in the overall sample and in a subsample of people with pain.Results A total of 349 workers participated in the study. …”
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Occupancy of roe deer, water deer, and wild boar in wind farm‐integrated forest ecosystems: A case study in Korea by Seong‐Hyeon Kim, Thakur Dhakal, Ki Hwan Cho, Tae‐Su Kim, Seung‐Hyeon Woo, Jun‐Young Kim, Do‐Hun Lee, Gab‐Sue Jang

“…This study explored the impacts of anthropogenic disturbances, particularly wind farms, on South Korean Forest ecosystems using spatial occupancy models and camera trap survey data. …”
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Cytotoxic Profiles of Beauvericin, Citrinin, Moniliformin, and Patulin and Their Binary Combinations: A Literature-Based Comparison and Experimental Validation in SH-SY5Y Cells by Claudia Moyano-López, Luna Bridgeman, Cristina Juan, Ana Juan-García

“…This analysis is driven by the additional risks posed by the frequent occurrence of these combinations in agricultural and food products, as well as the lack of studies addressing their effects, interactions, and regulatory frameworks. This research focuses on comparing the cytotoxicity data obtained in the SH-SY5Y cell line with previously reported findings in the literature for other cell lines exposed to BEA, CTN, MON, and PAT, individually and in binary combination. …”
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Leveraging large language models to predict antibody biological activity against influenza A hemagglutinin by Ella Barkan, Ibrahim Siddiqui, Kevin J. Cheng, Alex Golts, Yoel Shoshan, Jeffrey K. Weber, Yailin Campos Mota, Michal Ozery-Flato, Giuseppe A. Sautto

“…Our model is developed with the Molecular Aligned Multi-Modal Architecture and Language (MAMMAL) framework for biologics discovery to predict antibody-antigen interactions using only sequence information. To evaluate the model's performance, we tested it under various data split conditions to mimic real-world scenarios. …”
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Discarded sequencing reads uncover natural variation in pest resistance in Thlaspi arvense by Dario Galanti, Jun Hee Jung, Caroline Müller, Oliver Bossdorf

“…Here, we explored the possibility that non-target reads from plant DNA sequencing can serve as phenotyping proxies for addressing such questions. We used data from a whole-genome and -epigenome sequencing study of 207 natural lines of field pennycress (Thlaspi arvense) that were grown in a common environment and spontaneously colonized by aphids, mildew, and other microbes. …”
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Identify predictive factors for the emergence of self-reported oropharyngeal dysphagia in older men and women populations: a retrospective cohort analysis by Shuang Liu, Shuang Liu, Ling-Jie Fan, Hao Tian, Sha-Sha Wei, Si-Jie Zhang, Mei He, Ji-Hong Wei

“…The study further applied logistic regression and explored factor interactions using restricted cubic splines, streamlining the analysis to focus on key determinants of oropharyngeal dysphagia.ResultsInitial findings show a decrease in new-onset OD from 15.62% in 2011 to 14.49% in 2015, with women more frequently affected. …”
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Comparative Proteomic Insights into the Immune Response of <i>Conogethes punctiferalis</i> Challenged with <i>Beauveria bassiana</i> by Shaohua Li, Zhiwei Kang, Xiangdong Li, Hailei Wei, Xiangchu Yin, Fangqiang Zheng, Fanghua Liu

“…Six randomly selected immune-related proteins associated with target genes were validated for qRT-PCR, and the results indicated that the accuracy and reliability of the proteome sequencing data were high. Taken together, the results enrich the fundamental knowledge of YPM immune responses to <i>B. bassiana</i> infection and provide a new insight into insect−pathogen interactions.…”
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Predictive models for the surface roughness and subsurface damage depth of semiconductor materials in precision grinding by Shang Gao, Haoxiang Wang, Han Huang, Zhigang Dong, Renke Kang

“…Workpiece rotational grinding is widely used in the ultra-precision machining of hard and brittle semiconductor materials, including single-crystal silicon, silicon carbide, and gallium arsenide. …”
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