Watkins wheat landraces decode nitrogen-driven biomass trade-offs: GWAS exposes root-shoot dialectics and elite landraces for resilient agriculture by Abdul Waheed, Muhammad Shahid Iqbal, Zareen Sarfraz, Junliang Hou, Yanping Wei, Bo Song, Shifeng Cheng

“…This study aimed to dissect the molecular and physiological foundations of nitrogen-driven resilience in wheat, leveraging the genetically diverse Watkins wheat landraces as a source of adaptive alleles.MethodsA total of 308 Watkins wheat landraces were phenotyped under low nitrogen (LN) and normal nitrogen (NN) conditions to assess root-shoot allocation strategies. …”
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Bioinformatics pipeline to guide late‐onset Alzheimer's disease (LOAD) post‐GWAS studies: Prioritizing transcription regulatory variants within LOAD‐associated regions by Michael W. Lutz, Ornit Chiba‐Falek

“…The approach integrates multiple data types to characterize and prioritize SNPs for putative regulatory function using single‐cell multi‐omics assays and gene editing.…”
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Battery Electric Vehicle Adoption in Indonesia: Insights from Consumer Preferences and Stakeholder Perspectives by Indira Ayu Adzhani, Bambang Pramono, M. Setyawan Santoso, Mohamed Yusuf Faridian Wirayat, Liane Okdinawati, Prawira Fajarindra Belgiawan

“…This study adopts a mixed-methods approach, combining qualitative insights from focus group discussions and stakeholder interviews with quantitative analysis using a mixed multinomial logit (MMNL) model. …”
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Reproductive choices, mobile technology and social media: insights from Nigerian women’s family planning experiences by Idowu O. Ayodeji, Tosin O. Oni, Oladimeji Ogunoye

“…Objective This study examines the interplay between abortion experiences and contraceptive use among Nigerian women of reproductive age, with a particular focus on the role of family planning (FP) information disseminated through mobile phones and social media. Methods Drawing on data from the 2018 Nigerian Demographic and Health Survey, the analysis centers on a cohort of 8,687 women aged 15–49 who have expressed no desire for more children. …”
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The importance of socio-demographic factors on food literacy in disadvantaged communities by Rafael A. Araque-Padilla, Maria Jose Montero-Simo

“…This study examines food literacy in a disadvantaged community in western Honduras, specifically analyzing how socio-demographic factors influence food-related behaviors.MethodsWe assessed food literacy levels in 400 predominantly female-headed households in a disadvantaged community in western Honduras. …”
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Numerical Simulation Study on Swirl Vane Separator under Rolling Motion Condition by LI Yamin1, , YING Bingbin2, LIU Li1, , GU Hanyang1

“…Before reaching the critical condition, the variation in separation efficiency corresponds with the rolling motion of the separator. …”
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Decline in and recovery of fertility rates after COVID-19-related state of emergency in Japan by Hisashi Masuyama, Tomohiro Mitoma, Jota Maki, Hikaru Ooba

“…This study aimed to evaluate the impact of COVID-19 infection rates and regional sociodemographic factors on the recovery of fertility rates in Japan following the state of emergency.Methods This study examined prefectural fertility data from before the COVID-19 pandemic to forecast fertility rates up to 2022 using a seasonal autoregressive integrated moving average model. …”
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Geological environment and main geological safety challenges in the northern segment of the southeast Xizang (Tibet) power transmission corridor by TIAN Xuwen, WANG Yanbing, ZHU Shu, YAO Xin, LI Xianxin

“…This study aims to safeguard the geological route selection, construction, and operation of the northern segment of the southeast Xizang(Tibet) power transmission corridor.  Methods  We conduct a comprehensive review of literature from both domestic and international sources, and elaborate extensively the regional geological conditions and significant geological safety challenges encountered along the corridor. …”
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Correlations among Corneal Biomechanical Parameters, Stiffness, and Thickness Measured Using Corvis ST and Pentacam in Patients with Ocular Hypertension by Qian Liu, Chenjiu Pang, Changgeng Liu, Wenjun Cheng, Shuai Ming, Wenwen Du, Xiaomei Feng

“…To preliminary explore the correlations among corneal biomechanical parameters, stiffness, and thickness in patients with ocular hypertension (OHT) before and after treatment with topical antiglaucoma medications. Methods. This was a retrospective study that included 35 eyes with newly diagnosed OHT. …”
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Single-cell RNA sequencing reveals adrb1 as a sympathetic nerve-regulated immune checkpoint driving T cell exhaustion and impacting immunotherapy in esophageal squamous cell carcin... by Qun Li, Shuning Xu, Yulin Ren, Cheng Zhang, Ke Li, Ying Liu

“…We identified ADRB1+ T cells through data analysis and experimental validation. Copy number variation (CNV) analysis detected malignant cells within scRNA-seq data, while intercellular interaction analysis examined communication between cell populations. …”
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Epidemiological trends of influenza A and B in one hospital in Chengdu and national surveillance data (2019–2024) by Xiang Li, Chenlijie Yang, Lu Chen, Jian Ma, Zhongliang Hu

“…These findings underscore the importance of integrating multiple surveillance sources for a comprehensive understanding of influenza dynamics. …”
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RAB5B: explore its carcinogenic potential and understand its role, prognostic value and biological significance in pan-cancer by Jing Zhu, Chun Yu, Xin Xu, Chu Zou, Jiaqi Li, Rui Wang, Xinchao Li, Aijun Sun, Shiyan Wang, Chao Jiang

“…In most malignancies, RAB5B expression correlated positively with Copy Number Variation (CNV) and methylation. It also correlated significantly with immunotherapy biomarkers and responses. …”
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Increasing COVID-19 Testing and Vaccination Uptake in the Take Care Texas Community-Based Randomized Trial: Adaptive Geospatial Analysis by Kehe Zhang, Jocelyn V Hunyadi, Marcia C de Oliveira Otto, Miryoung Lee, Zitong Zhang, Ryan Ramphul, Jose-Miguel Yamal, Ashraf Yaseen, Alanna C Morrison, Shreela Sharma, Mohammad Hossein Rahbar, Xu Zhang, Stephen Linder, Dritana Marko, Rachel White Roy, Deborah Banerjee, Esmeralda Guajardo, Michelle Crum, Belinda Reininger, Maria E Fernandez, Cici Bauer

“…COVID-19 burden presented substantial temporal changes and local variations across CBGs. COVID-19 burden and community disparity exhibited some common geographical patterns but also displayed distinct variations, particularly at different time points throughout this study. …”
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Biases in Race and Ethnicity Introduced by Filtering Electronic Health Records for “Complete Data”: Observational Clinical Data Analysis by Jose Miguel Acitores Cortina, Yasaman Fatapour, Kathleen LaRow Brown, Undina Gisladottir, Michael Zietz, Oliver John Bear Don't Walk IV, Danner Peter, Jacob S Berkowitz, Nadine A Friedrich, Sophia Kivelson, Aditi Kuchi, Hongyu Liu, Apoorva Srinivasan, Kevin K Tsang, Nicholas P Tatonetti

“… Abstract BackgroundIntegrated clinical databases from national biobanks have advanced the capacity for disease research. …”
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A Mobile App Designed to Promote Shared Decision-Making in the Treatment of Psychotic Disorders: Feasibility and Acceptability Study by Mari Skoge, Sofie Ragnhild Aminoff, Elizabeth Ann Barrett, Gina Engen Bryhni, Kristine Kling, Kari Jorunn Kværner, Ingrid Melle, Erlend Mork, Carmen Simonsen, Linn Nathalie Støme, Josina Vink, Tor Gunnar Værnes, Kristin Lie Romm

“…The participants evaluated iTandem as a user-friendly and acceptable tool, but there were considerable variations in how the app was integrated into treatment and in perceptions of its clinical value. …”
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Numerical and experimental evaluation of shear strength and consolidation properties of cohesive soils in high water table areas by Nauman Izhar, Muhammad Adeel Khan, Muhammad Salman Khan, Asad Khan, Mahmood Ahmad, Mahmood Ahmad, Mohanad Muayad Sabri Sabri, Muriuzs Necurzac, Abdullah Alzlfawi

“…The numerical results from PLAXIS offered a more accurate understanding of soil behavior compared to the traditional Meyerhof and Vesic methods, highlighting the necessity of integrating advanced numerical techniques with conventional approaches. …”
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Access to Primary Care Telemedicine and Visit Characterization in a Pediatric, Low-Income, Primarily Latino Population: Retrospective Study by Priya R Pathak, Melissa S Stockwell, Mariellen M Lane, Laura Robbins-Milne, Suzanne Friedman, Kalpana Pethe, Margaret C Krause, Karen Soren, Luz Adriana Matiz, Lauren B Solomon, Maria E Burke, Edith Bracho-Sanchez

“…Telemedicine diagnoses were categorized, and subanalyses were conducted to explore variations by age and month. ResultsThere were 12,377 unique patients and 7127 telemedicine visits. …”
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Enhancing Food Safety: Adapting to Microbial Responses Under Diverse Environmental Stressors by Imran Mohammad, Mohammed Sarosh Khan, Mohammad Rizwan Ansari, Mohammad Azhar Kamal, Mohammad Nadeem Bari, Mohammad Anwar

“…At the same time, microbial adaptation is an integral part of ecosystem functioning, profoundly influencing processes such as nutrient cycling, decomposition, and soil fertility. …”
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Portable SpectroChip-Based Immunoassay Platform for Rapid and Accurate Melamine Quantification in Urine Samples by Cheng-Hao Ko, Wei-Yi Kong, Abel Chernet Kabiso, Wei-Huai Chiu, Ashenafi Belihu Tadesse, Chitsung Hong, Chia-Fang Wu, Hung-Hsun Lin

“…Growing concerns about the health risks of melamine adulteration in food products highlight the urgent need for reliable detection methods. However, the long-term effects of chronic low-level melamine exposure remain inadequately explored. …”
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Enhancing Marshall stability of asphalt concrete using a hybrid deep neural network and ensemble learning by Henok Desalegn Shikur, Ming-Der Yang, Yared Bitew Kebede

“…Accurate prediction of Marshall Stability (MS) is vital for asphalt concrete mix design and performance evaluation, yet traditional laboratory methods are resource-intensive. This study proposes and evaluates hybrid machine learning models, specifically integrating a deep neural network (DNN) base learner with various ensemble techniques (Random Forest, XGBoost, LightGBM, CatBoost, AdaBoost) through stacking, to enhance the accuracy and efficiency of MS prediction. …”
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