The mechanism of body appreciation influencing social anxiety in college students: A moderated mediation model by Jinwei Zhu, Zhenming Jiang, Yan Li, Yani Cai, Jiayu Chen

“…This study examines the impact of body appreciation on social anxiety among college students, focusing on the mediating role of social suspiciousness and the moderating role of self-congruency in the relationship between body appreciation and social suspiciousness. An analysis of data from 1161 questionnaires reveals that body appreciation is a significant negative predictor of social anxiety among college students. …”
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Analyzing GHG emission forecasting in Korea's semiconductor and display industries using grey model by Inkyung Cho, Soohyeon Kim, Miyeon Yoo

“…This study aims to forecast emissions in Korea's semiconductor and display sector using an improved grey model that accounts for the reliability and predictability of limited data. The analysis showed that the IGM (1,3) provided the highest accuracy and reliability, and projected continuous increases in greenhouse gas emissions from the semiconductor and electronic components industries. …”
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Biotechnological Potential of Antigens of Plague, Cholera, Tularemia and Anthrax Pathogens, Obtained at the Russian Research Institute “Microbe” by M. N. Kireev, O. V. Gromova, S. V. Borisova, S. A. Vorob’eva, V. R. Vol’nikov, R. R. Salikhov, O. A. Volokh

“…Russian Research Anti-Plague Institute “Microbe” of the Rospotrebnadzor develops and implements methods for obtaining and purifying biologically active substances of the causative agents of plague, cholera, tularemia and anthrax, which are used in the design of preventive and diagnostic preparations.The aim of the review is to summarize and systematize the accumulated data on the isolation, purification and assessment of antigens and toxins of plague, cholera, tularemia and anthrax pathogens. …”
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Integrative multi-omics and machine learning reveal critical functions of proliferating cells in prognosis and personalized treatment of lung adenocarcinoma by Shun Wang, Dingtao Hu, Ruohuang Wang, Jie Huang, Baoqing Wang

“…Herein, we utilized multi-omics data and employed a multifaceted approach to delineate the proliferating cell landscape in LUAD. …”
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Advanced Computer Vision Methods for Avian Risk Assessment Using Multispectral Drones by Dimitrios Mpouziotas, Petros Karvelis, Ioulia Kapsali, Chrysostomos Stylios, Vasilios Tsiouris

“…The growing threat of the Avian Influenza virus has raised the alarm for conservationists, ecologists and researchers to develop innovative solutions to monitor wildlife birds using drones and early diagnosing through advanced image processing methods. …”
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A comprehensive review of machine learning and deep learning techniques for intraclass variability breast cancer recognition by Kashif Khan, Suryanti Awang, Mohammed Ahmed Talab, Hasan Kahtan

“…This review aims to support researchers and professionals in developing more robust and interpretable AI-driven breast diagnostic systems.…”
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Machine Learning-Based Modeling with Optimization Algorithm for Predicting Mechanical Properties of Sustainable Concrete by Muhammad Izhar Shah, Shazim Ali Memon, Muhammad Sohaib Khan Niazi, Muhammad Nasir Amin, Fahid Aslam, Muhammad Faisal Javed

“…To train and test the proposed model, a large number of data were collected from the published literature. …”
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Swedish consumers’ perspectives on wild bilberries: Attitudes, associations, consumption patterns, and foraging behaviour by Elizabeth S. Collier, Marcus K. Adevi, Joshua Mayers, Anne Normann, Thomas T. Lennerfors, Cecilia Norman, Johnn Andersson

“…Our objective is to investigate attitudes, product associations, consumption patterns, and foraging behaviour regarding bilberries, with an online survey using a nationally representative sample (N = 2010). The data were analysed with regression and multinomial testing using a Bayesian approach as well as with correspondence analysis on a check-all-that-apply task. …”
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Bidirectional cohort study protocol to construct and validate a prediction model for perioperative pulmonary complications in elderly hip fracture patients by Ling Wang, Yalin Tian, Jintao Shen, Xiaotao Fan, Xujun Dong, Jianhua Chen, BenTao Jiang, Li Qin, Shaojin Bu, Jiaxi Tang

“…To address this gap, this bidirectional cohort study aims to develop and validate a predictive model for POPCs across all surgical stages in elderly patients with hip fracture. …”
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Stakeholders’ perceptions of value of nature-based interventions in promoting health in people with stress-related illness: a qualitative study by Gunilla Johansson, Jeaneth Johansson, Åsa Engström, Päivi Juuso

“…Accordingly, nature-based interventions (NBI) for people with stress-related illness have been developed and implemented in southern Scandinavia; however, such interventions are uncommon in the Circumpolar North. …”
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VGGBM-Net: A Novel Pixel-Based Transfer Features Engineering for Automated Coffee Bean Diseases Classification by Muhammad Shadab Alam Hashmi, Azam Mehmood Qadri, Ali Raza, Saleem Ullah, Aseel Smerat, Changgyun Kim, Muhammad Syafrudin, Norma Latif Fitriyani

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Healthy Cardiovascular Status Attenuates the Detrimental Association Between Osteosarcopenic Adiposity and Alzheimer's Disease‐Related Dementia: A UK Biobank Cohort Study by Wenxu Wang, Rui Ren, Honghao Yang, Jinguo Jiang, Xingyue Ye, Chenying Wang, Xiang Ji, Wen Li, Yuhong Zhao, Yang Xia, Difei Wang

“…The hazard ratios (HRs) and 95% CIs for ADRD were estimated using Cox proportional hazards models. A secondary analysis included 14 750 participants with brain magnetic resonance imaging data to explore the role of brain structure in the association between OSA and the incidence of ADRD. …”
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Ambulatory cancer care electronic symptom self-reporting (ACCESS) for surgical patients: a randomised controlled trial protocol by Andrea L Pusic, Daniel Stein, Cara Stabile, Larissa K Temple, Jessica S Ancker, Ethan Basch, Jeanne Carter, Magen Miranda, Peter D Stetson, Andrew Vickers, Brett A Simon

“…Despite abundant evidence that patient self-reporting of symptoms improves quality of care, the most effective way to monitor and manage this self-reported information is not known.Methods and analysis This is a two-armed randomised, controlled trial evaluating two approaches to the management of patient-reported data: (1) team monitoring, symptom monitoring by the clinical team, with nursing outreach if symptoms exceed normal limits, and (2) enhanced feedback, real-time feedback to patients about expected symptom severity, with patient-activated care as needed.Patients with breast, gynaecologic, urologic, and head and neck cancer undergoing ambulatory cancer surgery (n=2750) complete an electronic survey for up to 30 days after surgery that includes items from a validated instrument developed by the National Cancer Institute, the Patient-Reported Outcomes version of the Common Terminology Criteria for Adverse Events (PRO-CTCAE). …”
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Estimating medium-term (40 years) carbon uptake in living biomass from Life Terra’s afforestation and reforestation actions: challenges and recommendations by Jorge Palmero-Barrachina, Petr Blazek, Santiago Sabaté, Santiago Sabaté, Teresa Sauras-Yera, Samuel Allasia-Grau, Daniel Nadal-Sala, Daniel Nadal-Sala, Sven Kallen, Tiago de Santana, Emil Cienciala, Emil Cienciala

“…While Life Terra encompasses six planting categories (ecological restoration, timber plantations, agroforestry/food forests, gardens, green infrastructure, and others), our analysis focused primarily on timber plantations due to data availability and reliability constraints. …”
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Genomic regions of Solanum tuberosum L. associated with the tuber eye depth by I. V. Totsky, I. V. Rozanova, A. D. Safonova, A. S. Batov, Yu. A. Gureeva, A. V. Kochetov, E. K. Khlestkina

“…DNA sections containing SNPs linked to the tuber’s eye depth were studied in the SolTub_3.0 potato genome assembly (https:// plants.ensembl.org/). KASP markers were developed based on the data obtained. It will be possible to screen the breeding material and to breed the varieties more effectively using current markers associated with a shallow tuber’s eye depth.…”
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Lipidomic analyses reveal the dysregulation of oxidized fatty acids (OxFAs) and acyl-carnitines (CARs) in major depressive disorder: a case-control study by Lei He, Na Duan, Chong Wang, Ru Shan, Jing Li, Lin Wang, Qiuli Liu, Junwei Tao, Li Liu, Xiaoliang Ma, Bing Cao

“…Abstract Background Growing data indicated that individuals diagnosed with major depressive disorder (MDD) had widespread inflammation, oxidative stress, and metabolic dysregulation. …”
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Reaching the unreachable: a mixed-method evaluation of multidimensional healthcare model addressing the healthcare service gaps in hard-to-reach Northern riverine Bangladesh by Md Refat Uz Zaman Sajib, Kamrul Hasan, Tanvir Hayder, A M Rumayan Hasan, Md. Musfikur Rahman, Saraban Ether, Atia Rahman, Tania Sultana Tanwi, Fariya Rahman, Abu Sayeed, Sanwarul Bari, Syed Moshfiqur Rahman, Shams El Arifeen, Anisuddin Ahmed

“…Data analysis followed major thematic domains for a comprehensive and complementary understanding. …”
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Graph-Based 3-Dimensional Spatial Gene Neighborhood Networks of Single Cells in Gels and Tissues by Zhou Fang, Kelsey Krusen, Hannah Priest, Mingshuang Wang, Sungwoong Kim, Anirudh Sriram, Ashritha Yellanki, Ankur Singh, Edwin Horwitz, Ahmet F. Coskun

“…Objective: We developed 3-dimensional spatially resolved gene neighborhood network embedding (3D-spaGNN-E) to find subcellular gene proximity relationships and identify key subcellular motifs in cell–cell communication (CCC). …”
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Co-designing interventions to improve emergency department discharge communication with youths, parents and healthcare providers: a process evaluation by Allyson J Gallant, Janet A Curran, Mari Somerville, Lori Wozney, Christine Cassidy, Alannah Delahunty-Pike, Rebecca Mackay, Shannon MacPhee, Emma Burns, Helen Wong, Melanie Doyle, Amy Plint, Roger Zemek

“…Quantitative data was analyzed using descriptive statistics and qualitative data through thematic analysis. …”
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Fan Base Economic-recreational Value of Azadi Stadium by Behzad Akbarzadeh, Fariba Askarian, Mohammadrasul Khodadadi, Mohammad Khodaverdizadeh

“…A sample of 418 individuals was selected from this population using simple random sampling, and the necessary information was collected through the willingness-to-pay questionnaire developed by Wicker and Colleagues (2016). Data analysis was conducted using the logit method, utilizing the Stata and Shazam software.Findings: The findings reveal that the average willingness of fans to pay to attend games at Azadi Stadium is 91,000 Tomans per game, and the estimated economic and recreational value for one season is approximately 1,350 billion Rials. …”
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