Effects of sleep deprivation on heart rate variability: a systematic review and meta-analysis by Suling Zhang, Xiaodan Niu, Jinke Ma, Jinke Ma, Xin Wei, Xin Wei, Jun Zhang, Jun Zhang, Weiping Du

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Robust HPV‐16 Detection Workflow for Formalin‐Fixed Cancer Tissue and Its Application for Oral Squamous Cell Carcinoma by Shizuka Morodomi, Akiyuki Hirosue, Akhinur Rahman, Kyotaro Nohata, Misaki Matsuo, Omnia Reda, Samiul Alam Rajib, Haruki Saito, Hiroki Takeda, Ryoji Yoshida, Masafumi Nakamoto, Masatoshi Hirayama, Kenta Kawahara, Mitsuyoshi Takatori, Yorihisa Orita, Hideki Nakayama, Yorifumi Satou

“…The current study aimed to develop a robust HPV‐16 detection method for formalin‐fixed cancer specimens. Materials and Methods To prevent false negatives resulting from DNA fragmentation, a DNA quality check step was added. …”
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Spatial Analysis of Soil Acidity and Available Phosphorus in Coffee-Growing Areas of Pichanaqui: Implications for Liming and Site-Specific Fertilization by Kenyi Quispe, Nilton Hermoza, Sharon Mejia, Lorena Estefani Romero-Chavez, Elvis Ottos, Andrés Arce, Richard Solórzano Acosta

“…This research shows a moderate spatial variation of acidity, the need to optimize phosphorus fertilization, and an optimal prediction of liming requirements using the MPM and MAC methods, which indicate high requirements in the southwest of the Pichanaqui district.…”
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Exploring the Controlling Factors of Watershed Streamflow Variability Using Hydrological and Machine Learning Models by Bingbing Ding, Xinxiao Yu, Guodong Jia

“…The Shapley Additive exPlanations (SHAP) method identified the controlling factors and their interactions in streamflow variation, whereas scenario simulations quantified the relative contributions of climate and land use changes. …”
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How equitable is the conduct of public health research? Findings across case studies from India and Australia by Devaki Nambiar, Hari Sankar D, Misimi Kakoti

“…Developing a deeper understanding of what these variations are and what drives them may help improve both tools and practice in the global research space. …”
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Perspectives on AI-Driven Nursing Science Among Nursing Professionals from China: A Qualitative Study by Yi Chen, Fulei Wu, Wen Zhang, Weijie Xing, Zheng Zhu, Qingmei Huang, Changrong Yuan

“…Participants were selected using maximum variation sampling, and data were analyzed using content analysis. …”
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Using Structured Observation and Content Analysis to Explore the Presence of Older People in Public Fora in Developing Countries by Geraldine Nosowska, Kevin McKee, Lena Dahlberg

“…This exploratory study used structured observation and content analysis to examine the presence of older people in public fora and considered the methods’ potential for understanding older people’s social integration and inclusion. …”
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Research on the molecular mechanisms of ABO subtypes based on first-generation and third-generation sequencing technologies by GAO Chengyan, ZHANG Hui, LEI Hang, LOU Can, CAI Xiaohong

“…These mutations affect the expression of the ABO antigens and are likely responsible for the ABO subgroup phenotypes. [Conclusion] The integration of Sanger and long-read sequencing technologies effectively identifies genetic variations causing ABO subtypes, providing a scientific basis for enhancing clinical transfusion safety and ensuring accurate blood group determination.…”
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An Investigation of Microclimatic Influences on Pedestrian Perception and Walking Experience in Contrasting Urban Fabrics: The Case of the Old Town and the Lower City of Béjaïa, Al... by Yacine Mansouri, Mohamed Elhadi Matallah, Abdelghani Attar, Waqas Ahmed Mahar, Shady Attia

“…A mixed-method approach combined microclimatic measurements (Ta, Ts, Va, RH) with subjective evaluations from 70 participants. …”
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Extreme R-CNN: Few-Shot Object Detection via Sample Synthesis and Knowledge Distillation by Shenyong Zhang, Wenmin Wang, Zhibing Wang, Honglei Li, Ruochen Li, Shixiong Zhang

“…Conversely, few-shot object detectors, which are generally fine-tuned using limited data from unknown classes, tend to show biases toward base categories and are susceptible to variations within these unknown samples. To mitigate these challenges, we introduce a Two-Stage Fine-Tuning Approach (TFA) named Extreme R-CNN, designed to operate effectively with extremely limited original samples through the integration of sample synthesis and knowledge distillation. …”
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Growth Stages Discrimination of Multi-Cultivar Navel Oranges Using the Fusion of Near-Infrared Hyperspectral Imaging and Machine Vision with Deep Learning by Chunyan Zhao, Zhong Ren, Yue Li, Jia Zhang, Weinan Shi

“…In this model, a spectral branch is designed to extract spectral features reflecting internal compositional variations, while the image branch is utilized to extract external color and texture features from the integration of hyperspectral and RGB images. …”
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Inline Wear Detection in High-Speed Progressive Dies Using Photometric Stereo by Moske Jonas, Kutlu Hasan, Steinmeier Adrian, Groenewold Phil, Santos Pedro, Kuijper Arjan, Weinmann Andreas, Groche Peter

“…The progressive forming of complex components, including blanking, deep-drawing, and bending, represents an economically efficient sheet metal processing method. Wear control is crucial for ensuring product quality by preventing defects and minimizing material waste. …”
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Artificial intelligence utilization in cancer screening program across ASEAN: a scoping review by Hein Minn Tun, Hanif Abdul Rahman, Lin Naing, Owais Ahmed Malik

“…Purpose This study aims to identify and evaluate different cancer screening programs across ASEAN, with a focus on assessing the integration and impact of AI in these programs. Methods A scoping review was conducted using PRISMA-ScR guidelines to provide a comprehensive overview of cancer screening programs and AI usage across ASEAN. …”
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Perceptions of Competency-Based Medical Education (CBME) Curriculum Among Indian Medical Students: A Cross-Sectional Analysis from ANIIMS, Port Blair by Mudit Sharma, Amit Kumar Kamboj, Rashmi Ramanathan, Vivin Vincent, Jeevithan Shanmugam

“…A structured questionnaire was used to gather students' feedback on various CBME components, including foundational courses, learning strategies, integration, ethics, and assessment methods. Descriptive and inferential statistical analyses were performed, with Chi-square tests and ANOVA to examine the association between student responses and their year of joining. …”
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Walking in two worlds: insights from implementing a Tr’ondëk Hwëch’in approach to bridging knowledge systems in conservation and land use planning by Chrystal Mantyka-Pringle, Jody Beaumont, Chris Clarke, Natasha Ayoub, Piia Kortsalo, Stephanie Saal, Katie Fraser, Kiri Staples, Tr’ondëk Hwëch’in

“…We also explore how the conservation prioritization method and software, Zonation, can be modified with Indigenous cultural values and subsistence use areas. …”
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A Deep-Learning Workflow for CORONA-Based Historical Land Use Classifications by Wei Liu, Shuai Li, Di Fan, Yixin Wen, Austin Madson, Jessica Mitchell, Yaqian He, Di Yang

“…These high-resolution images from the 1960s offer valuable insights into historic land use conditions, but require intensive preprocessing and lack standardized methods for analysis. This article presents an integrated and systematic workflow for preprocessing CORONA imagery and demonstrates an automated approach for land use classification that combines imagery and terrain feature analysis. …”
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PhET simulation in education: A bibliometric analysis of the Scopus database by Fatma Suryani Harahap, Eko Susetyarini, Elly Purwanti, Sulidar Fitri, Nia Kurniaty Rukman, Heni Mulyani Pohan

“…This analysis recommends exploring PhET integration in STEM models, developing adaptive pedagogical strategies, and conducting comparative studies on simulation vs. conventional methods. …”
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Spatial attention-guided pre-trained networks for accurate identification of crop diseases by Satrughan Kumar, S. S. Aravinth, Sreedhar Kollem, Munish Kumar, Quadri Noorulhasan Naveed, Azath Mubarakali, Abhishek Bhattacherjee, Addisu Frinjo Emma

“…EfficientNet-B3 offers a strong foundation for feature extraction due to its compound scaling and efficient computation, while the spatial attention module improves classification accuracy by directing the model to focus on critical regions of diseased leaves. Additionally, the integration of ancillary convolutional layer to this architecture enhances the ability of the model to detect subtle disease variations. …”
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Real-Time Lightweight Morphological Detection for Chinese Mitten Crab Origin Tracing by Xiaofei Ma, Nannan Shen, Yanhui He, Zhuo Fang, Hongyan Zhang, Yun Wang, Jinrong Duan

“…To address this challenge, this study proposes a two-stage origin traceability framework that integrates a lightweight object detector and a high-precision classifier. …”
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Cultivar Differentiation and Origin Tracing of <i>Panax quinquefolius</i> Using Machine Learning Model-DrivenComparative Metabolomics by Rongrong Zhou, Yikun Wang, Lanping Zhen, Bingbing Shen, Hongping Long, Luqi Huang

“…An accurate and reliable method for tracing the origin and evaluating the quality of American ginseng is therefore urgently required. …”
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