YOLOv8n-DSDL: A lightweight dual-backbone network with decoupled self-attention for cotton maturity detection by Meiqi Zhong, Linjing Wei, Henghui Mo

“…The overall performance surpasses the original YOLOv8n and other mainstream detection methods. This study provides a novel and practical solution for intelligent maturity monitoring of cotton and potentially other crops. …”
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Spatiotemporal assessment of ecological quality and driving mechanisms in the Beijing metropolitan area by Aibo Jin, Hui Li, Xiangrong Wang, Ziyao Wang

“…Spatial clustering patterns of ecological quality are identified through RSEI calculations and spatial autocorrelation analyses, while future trends are projected utilizing the coefficient of variation, Sen and Mann–Kendall methods, and the Hurst index. …”
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BuDDI: Bulk Deconvolution with Domain Invariance to predict cell-type-specific perturbations from bulk. by Natalie R Davidson, Fan Zhang, Casey S Greene

“…BuDDI utilizes domain adaptation techniques to effectively integrate available corpora of case-control bulk and reference scRNA-seq observations to infer cell-type-specific perturbation effects. …”
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Interactive image segmentation algorithm based on adaptive kernel learning by LONG Jianwu, LI Jihao

“…To address the issue that most existing interactive image segmentation methods suffer from limited segmentation performance due to their susceptibility to noise interference and non-convex structure impacts in the original feature space, an adaptive kernel learning-based interactive image segmentation algorithm was proposed. …”
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Top and Side Leakage Effects on Thermoregulation and Moisture Retention with Facemask Wearing by Kian Barari, Xiuhua Si, Rozhin Hajian, Jinxiang Xi

“…This study investigated how leakage flows affect mask-associated thermoregulation and vapor trapping to inform better mask designs. An integrated ambience–mask–face–airway model with various mask-wearing misfits was developed. …”
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Decoding epithelial–fibroblast interactions in lung adenocarcinoma through single-cell and spatial transcriptomics by Jiajin Yang, Qiuping Xu, Yanjun Lu

“…Methods We analyzed single-cell RNA sequencing (scRNA-seq) data from 21 LUAD patients and performed spatial transcriptomic deconvolution. …”
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MicroRNA-221 protects myocardial contractility in myocardial ischemia/reperfusion injury through phospholamban. by Hongyu Li, Jimiao Qiu, Chang Liu, Guobing Yu, Danyu Wu, Yichun Chu, Kai Wang

“…Changes in the structural integrity of the mouse heart were identified with HE and MASSON staining, while TUNEL staining was used to evaluate the TUNEL-positive cells of cardiomyocytes. …”
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Stress management with HRV following AI, semantic ontology, genetic algorithm and tree explainer by Ayan Chatterjee, Michael A. Riegler, K. Ganesh, Pål Halvorsen

“…Abstract Heart Rate Variability (HRV) serves as a vital marker of stress levels, with lower HRV indicating higher stress. It measures the variation in the time between heartbeats and offers insights into health. …”
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Programmed cell death-driven remodeling of the melanoma microenvironment enables prognostic stratification and therapeutic prediction by Bo Hu, Shengnan Chai, Xuan Li, Qiang Zhang, Mei Jin, Long Zhang

“…Bulk RNA sequencing data were then integrated to identify PCD-related gene signatures, and machine learning models (LASSO, Ridge, XGBoost) were applied to develop a prognostic model. …”
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Single-cell transcriptomic profiling reveals the heterogeneity of epithelial cells in lung adenocarcinoma lymph node metastasis and develops a prognostic signature by Qiuqiao Mu, Qiuqiao Mu, Qiuqiao Mu, Han Zhang, Ying Shi, Mengli Xue, Jingxian Wang, Yun Ding, Lin Tan, Hui Yuan, Xin Li, Xin Li, Daqiang Sun, Daqiang Sun, Daqiang Sun

“…Malignant epithelial cells were identified via inferred copy number variation (CNV) profiles. Key malignant subpopulations were further characterized through trajectory inference, cell–cell communication mapping, gene set variation analysis (GSVA), and reconstruction of transcription factor regulatory networks. …”
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Exploring the relationship between climate change, air pollutants and human health: Impacts, adaptation, and mitigation strategies by Gibson Owhoro Ofremu, Babatunde Yusuf Raimi, Samuel Omokhafe Yusuf, Beatrice Akorfa Dziwornu, Somtochukwu Godfrey Nnabuife, Adaeze Mary Eze, Chisom Assumpta Nnajiofor

“…This paper conveys a comprehensive review of scientific literature to explore the relationship between climate change, air pollutants, and human health. The integral relationship between climate change and health is complex and has a significant impact on every facet of human life. …”
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Generative AI-Enhanced Cybersecurity Framework for Enterprise Data Privacy Management by Geeta Sandeep Nadella, Santosh Reddy Addula, Akhila Reddy Yadulla, Guna Sekhar Sajja, Mohan Meesala, Mohan Harish Maturi, Karthik Meduri, Hari Gonaygunta

“…By leveraging Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and traditional anomaly detection methods, the framework generates synthetic datasets that mimic real-world data, ensuring privacy and regulatory compliance. …”
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Breeding for resistance to maize streak virus: challenges, progress and future directions: a review by Malven Mushayi, Malven Mushayi, Hussein Shimelis, John Derera, John Derera, Seltene Abady Tesfamariam

“…Finally, the review highlights the conventional and modern breeding methods, innovations and prospects for MSV resistance breeding. …”
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Development and validation of a nomogram to predict recurrence in epithelial ovarian cancer using complete blood count and lipid profiles by Xi Tang, Jingke He, Qin Huang, Yi Chen, Ke Chen, Jing Liu, Yingyu Tian, Hui Wang

“…Grade, International Federation of Gynecology and Obstetrics (FIGO) stage, platelet-to-lymphocyte ratio, red blood cell distribution width-coefficient of variation, triglycerides, and human epididymal protein 4 were identified as independent prognostic factors. …”
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Context makes a difference: a qualitative study exploring how to implement a multifactorial falls prevention intervention in the community by Sara Vandervelde, Bernadette Dierckx de Casterlé, Ellen Vlaeyen, Johan Flamaing, Sien Valy, Goedele Belaen, Koen Milisen

“…The context is critical to understand variation in implementation and clinical outcomes. …”
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Benchmarking IMIA recommendations for the health informatics undergraduate program in Saudi Arabia: a mixed methodology by Haitham Alzghaibi, Qazi Mohammad Sajid Jamal, Sulaiman Almutairi, Reem M. Alotaibi, Saleh Alzughaibi, Shabbir Syed Abdul, Faisal AlGhayadh, Shafiz Affend Mohd Yusof, Nasriah Zakaria

“…Aim This study aimed to evaluate and compare the content of undergraduate health informatics programs in Saudi universities with international curriculum recommendations, and to explore professional stakeholder perceptions on essential educational components. Methods A mixed-methods design was used, combining a national cross-sectional survey of healthcare and academic professionals with document analysis of curricula from five universities offering undergraduate degrees in health informatics. …”
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Estimated inpatient malnutrition prevalence, screening tool utilization, and dietitian referral rates across hospitals during extension of phase 2 of More-2-Eat by Yingying Xu, Rachel A. Warren, Shirley M. Peters, Sonya Boudreau, Tina N. Strickland, Mari Somerville, Brenda L. MacDonald, Heather Keller, Leah E. Cahill

“…This study aims to understand (1) the prevalence of inpatient nutrition screening completion, (2) the proportion of at-risk inpatients referred to dietitians, and (3) the malnutrition prevalence among a sample of hospital inpatients. Methods: In 2021, INPAC was implemented in five hospital wards across Nova Scotia (NS) as an extension of More-2-Eat NS Study. …”
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MLK-TR: a Multi-branch Large Kernel TRansformer for UAV-based images by Xun Li, Yuzhen Zhao, Yang Zhao, Zhun Guo, Jianjing Gao, Baoxi Yuan

“…However, due to the small size of targets captured by UAV, along with challenges such as scale variation and blurred edges, existing methods struggle to maintain high detection accuracy while ensuring efficient inference speed. …”
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Defining Nephritic Factors as Diverse Drivers of Systemic Complement Dysregulation in C3 Glomerulopathy by Jill J. Hauer, Yuzhou Zhang, Renee Goodfellow, Amanda Taylor, Nicole C. Meyer, Sarah Roberts, Dingwu Shao, Lauren Fergus, Nicolo Ghiringhelli Borsa, Monica Hall, Carla M. Nester, Richard J.H. Smith

“…However, disease heterogeneity and rarity make accurately defining characteristics of the C3G population difficult. Methods: Here, we present a retrospective analysis of the Molecular Otolaryngology and Renal Research Laboratories C3G cohort. …”
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Exploration of beta diversity across altitude gradients in an Alpine region in Trentino using FOSS4G and a historical floristic archive by F. Geri, F. Zottele, N. La Porta, C. Tattoni, P. Zatelli, M. Ciolli, M. Ciolli

“…Future research will compare historical and contemporary floristic data, apply alternative statistical methods, and incorporate remote sensing for enhanced biodiversity assessments.…”
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