S₂Head: Small-Scale Human Head Detection Algorithm by Improved YOLOv8n Architecture by Yuteng Sui, Xinghua Shan, Linlin Dai, Hui Jing, Bo Li, Jianjun Ma

“…Existing head detection algorithms face challenges in accurately detecting small and densely packed head targets, resulting in lower detection accuracy in complex scenarios. …”
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Efficient deep learning-based tomato leaf disease detection through global and local feature fusion by Hao Sun, Rui Fu, Xuewei Wang, Yongtang Wu, Mohammed Abdulhakim Al-Absi, Zhenqi Cheng, Qian Chen, Yumei Sun

“…Notably, on the tomato leaf disease dataset, E-TomatoDet improved the mean Average Precision (mAP50) by 4.7% compared to the baseline model, reaching 97.2% and surpassing the advanced real-time detection network YOLOv10s. …”
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The Rising Tide: Disparities in Fentanyl-Related Mortality Among Hispanic and Non-Hispanic Adolescents and Young Adults in the United States by Paige Brinzo, Adrienne Dean, Ayden Dunn, Diana Lobaina, Sebastian Densley, Panagiota Kitsantas, Maria Carmenza Mejia, Lea Sacca

“…Disparities by ethnicity and emerging trends in gender and age category highlight the need for targeted approaches to help aid in reducing fentanyl-involved mortality amongst AYAs. …”
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Consumer preferences in wine: traditional <i>vs</i> fungus-resistant varieties in Switzerland by Marie Blackford, Barbara Guggenbühl-Gasser, Jonas Inderbitzin, Martin Wiederkehr, Pascal Fuchsmann, Stefan Bieri, Kathleen Mackie-Haas

“…The results indicate that FRG wines are, on average, as appreciated as traditional varieties. …”
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Clinical nurses’ evidence-based healthcare competence and associated factors: a regional cross-sectional study by Shuang Wang, Jin Liang, Xishun Zhang, Xia Xiang, Liqin Song, Xiaofen Wu, Lin Xiao, Zhihui Yang, Yuanyuan Luo, Qianying Huang, Xiaoxue Wei, Ning Wang, Lili Zhang

“…The identified factors provide valuable insights for developing targeted interventions. Clinical trial number Not applicable.…”
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Preliminary Efficacy of Group Medical Nutrition Therapy and Motivational Interviewing among Obese African American Women with Type 2 Diabetes: A Pilot Study by Stephania T. Miller, Veronica J. Oates, Malinda A. Brooks, Ayumi Shintani, Tebeb Gebretsadik, Darlene M. Jenkins

“…African American (AA) women with type 2 diabetes (T2D) participated in five, certified diabetes educator/dietitian-facilitated intervention sessions targeting carbohydrate, fat, and fruit/vegetable intake and management. …”
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Methanobrevibacter oralis: a comprehensive review by Virginie Pilliol, Boualam Mahmoud Abdelwadoud, Hamieh Aïcha, Tellissi Lucille, Aboudharam Gérard, Tassery Hervé, Drancourt Michel, Grine Ghiles, Terrer Elodie

“…Various PCR methods are used to identify M. oralis, targeting either the 16S rRNA gene or the mcrA gene. …”
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Ethical and Legal Challenges of Implementing AI in Science and Math Education in Central Asia by Dilfuza M.Makhmudova, Xilola R. Sharipova, Nosirjon K. Hojiyev, Azamat E.Ergashev, Yulduzknon Kh.Satvaldieva, Khosiyat U.Mamatkulova, Egambergan M. Khudoynazarov

“…The study highlights a critical need for policy interventions and professional development targeting ethical and legal dimensions of AIEd in post-Soviet education systems. …”
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FSDN-DETR: Enhancing Fuzzy Systems Adapter with DeNoising Anchor Boxes for Transfer Learning in Small Object Detection by Zhijie Li, Jiahui Zhang, Yingjie Zhang, Dawei Yan, Xing Zhang, Marcin Woźniak, Wei Dong

“…Although DETR’s self-attention mechanism effectively captures the global context, it struggles with fine-grained detail detection, limiting its efficacy in small object detection where noise can easily obscure or confuse small targets. To address these issues, we propose <b>F</b>uzzy <b>S</b>ystem <b>DN</b>N-<b>DETR</b> involving two key modules: Fuzzy Adapter Transformer Encoder and Fuzzy Denoising Transformer Decoder. …”
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Biomass power plant prospects in Indonesia’s energy transition: IPP and PLN perspectives by Indra A. Aditya, Hendry Timotiyas Paradongan, Iswan Prahastono, Sudjono Kosasih, Kevin M. Banjar-Nahor, Ngapuli Irmea Sinisuka

“…This study examines the role of biomass power plants (BPP) in meeting Indonesia's renewable energy targets, with a specific focus on recently introduced renewable energy tariffs. …”
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Establishment and optimization of a tobacco rattle virus -based virus-induced gene Silencing in Atriplex canescens by Shan Feng, Jin-Da Chen, Ai-Ke Bao

“…In this study, we established an efficient virus-induced gene silencing (VIGS) system in A. canescens by constructing a tobacco rattle virus (TRV)-based vector targeting the phytoene desaturase gene (AcPDS), whose silencing induces an easily recognizable photobleaching phenotype. …”
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Infusion Effect on Postoperative Intestinal Failure by Marina V. Petrova, Andrey V. Butrov, Andrey V. Grechko, Nataliya V. Stepanova, Mohammed F. I. Nakade, Marina N. Storchai, Rubanes Mohan, Gulnaz R. Mahmutova

“…Optimization and application of a targeted corrective infusion therapy during the perioperative period promote earlier resolution of postoperative intestinal failure.…”
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Optimizing subsurface pipe layout by considering leaching efficiency of major salt ions to improve crop coverage using HYDRUS-2D by Yi Liu, Wang Tan, Wenzhi Zeng, Chang Ao, Donglin Jiang

“…The HYDRUS-2D model, calibrated and validated with experimental data, achieved high accuracy in simulating cumulative drainage and ion discharge (R² > 0.7 for all ions), with an average root mean square error (RMSE) for major ions below 0.2 g kg−1. …”
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Statewide analysis of NHSN antimicrobial use rate and standardized antimicrobial administration ratio (SAAR) 2017–2023, Tennessee by Glodi Mutamba, Callyn Wren, Dipen Patel, Melphine Harriott, Christopher Evans

“…During this time, the statewide average antimicrobial use significantly rose from 593 days of therapy (DOT)/1000 days present (DP) to 621 DOT/1000 DP (P = .0478). …”
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Biological Characteristics and Genomic Analysis of <i>Acinetobacter nosocomialis</i> Lytic Phage XC1 by Chuhan Wang, Shuchuan Zhao, Hailin Jiang, Hongyan Shi, Jinghua Li, Chunyan Zhao, Honglan Huang

“…This study aims to isolate and characterize the lytic phage XC1 targeting <i>Acinetobacter nosocomialis</i> and systematically analyze its biological properties and genomic structure, providing theoretical support for developing novel treatments against antibiotic-resistant infections. …”
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Risk of falls in the older adult at Thai Binh Medical University Hospital and its related factors in 2024 by Nguyen The Diep, Tien Van Nguyen, Bui Thi Minh Phuong, Nguyen Duc Thanh, Duc-Cuong Le, Nguyen Trong Duynh, Nham Tien Quynh

“…These findings suggest a simplified, two-question screening approach could be effectively implemented in clinical practice to identify high-risk individuals for targeted preventive interventions.…”
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A comparative assessment of polymer-coated and non-coated urea in direct-seeded rice: agronomic, economic, and environmental performance and sensitivity analysis by Mari Namikawa, Miyuki Nakajima, Maya Matsunami, Toshihiro Hasegawa

“…Data were collected from field experiments at a farm in Iwate, Japan from 2020 to 2022. The average apparent N recovery was 0.43 for PCU and 0.37 for conventional urea. …”
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Assessing genetic diversity and population structure of f4:f5 wheat genotypes using morphological and microsatellite markers under heat stress by Md. Zahid Hassan, M. Hasanuzzaman, Md. Jalil Uddin, Md Badsha Alomgir, Most. Salma Akter, Amorish Chandra Mohanto, Md. Omar Kayess

“…Abstract Diversity in the plant gene pool provides breeders with the opportunity to improve targeted traits. Enhancing the genetic background through the introgression of desired gene(s) is an effective strategy to combat stresses like heat. …”
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Gamma-ray spectrometric evaluation in watersheds with gold anomalies in stream sediments, Passo Feio Complex, Caçapava do Sul region (Brazil) by Luiza Lima Alves, César Augusto Moreira, Ana Flávia da Silva Araújo, Lenon Melo Ilha, João Pedro Prado de Oliveira, Sissa Kumaira, Marco Antonio Fontoura Hansen, Henri Masquelin

“…The combination of detailed gamma-ray spectrometry and precision digital terrain modeling has enabled the delineation of primary targets potentially mineralized in gold, in a versatile and fast way, compared to traditional soil sampling techniques.…”
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HAPIR: a refined Hallmark gene set-based machine learning approach for predicting immunotherapy response in cancer patients by Mengqin Yuan, Haizhou Liu, Yu-e Huang, Fei Hou, Lihong Wang, Quan Wang, Wei Jiang

“…Importantly, HAPIR scores correlated significantly with patient survival and effectively recapitulated the immune microenvironment, enabling the prediction of potential drug targets and drug candidates to overcome immunotherapy resistance. …”
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