PyBootNet: a python package for bootstrapping and network construction by Shayan R. Akhavan, Scott T. Kelley

“…Methods PyBootNet is a user-friendly Python package that integrates bootstrapping analysis and correlation network construction. …”
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Applying Machine Learning Techniques to Predict Drug-Related Side Effect: A Policy Brief by Esmaeel Toni MSc, Haleh Ayatollahi PhD

“…Drug safety is a critical aspect of public health, yet traditional detection methods may miss rare or long-term side effects. Recently, machine learning (ML) techniques have shown promise in predicting drug-related side effects earlier in the development pipeline. …”
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An improved method of AUD-YOLO for surface damage detection of wind turbine blades by Li Zou, Anqi Chen, Xinhua Yang, Yibo Sun

“…However, traditional detection methods often suffer from false positives and missed detections, and they do not adequately account for complex weather conditions such as fog and snow. …”
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Introducing artificial intelligence and sperm epigenetics in the fertility clinic: a novel foundation for diagnostics and prediction modelling by Adelheid Soubry

“…I suggest using an integrated approach of biostatistics and machine learning methods to improve diagnostics and prediction modelling in the fertility clinic. …”
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Steel surface defect detection method based on improved YOLOv9 by Cong Chen, Hoileong Lee, Ming Chen

“…This often results in high false detection and missed detection rates during the inspection process. …”
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Comparative Study on Rail Damage Recognition Methods Based on Machine Vision by Wanlin Gao, Riqin Geng, Hao Wu

“…To further enhance performance, this study integrated the Multi-Head Self-Attention (MHSA) module into YOLO, creating MHSA-YOLOv8. …”
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CODE CLONE DETECTION WITH SELF-SUPERVISION ON DUAL GRAPHS by Chunguang Li, Adisorn Sirikham, Jessada Konpang, Yan Wang

“…Their fusion recovers semantic equivalence that each view alone misses, outperforming token sequence models (e.g., GraphCodeBERT) and single graph GNNs. …”
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Correlating Patient Symptoms and CT Morphology in AI-Detected Incidental Pulmonary Embolisms by Selim Abed, Lucas Brandstetter, Klaus Hergan

“…Integrating AI findings with morphologic and clinical criteria is crucial to avoid overtreatment and to guide appropriate management.…”
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An improved EAE-DETR model for defect detection of server motherboard by Jian Chi, Mingke Zhang, Puhon Zhang, Guowang Niu, Zhihao Zheng

“…Abstract This study addresses the challenges of missed and false detections in server motherboard defect identification, which arise from factors such as small target size, positional rotation deviations, and uneven scale distribution. …”
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Ship Plate Detection Algorithm Based on Improved RT-DETR by Lei Zhang, Liuyi Huang

“…It effectively reduces missed and false detections caused by low resolution, poor lighting, and dense occlusion, providing a robust and high-accuracy solution for intelligent ship supervision. …”
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Deep Learning-Based Intelligent Detection Algorithm for Surface Disease in Concrete Buildings by Jing Gu, Yijuan Pan, Jingjing Zhang

“…This modification integrated the neck part more effectively with the shallow features of the original three-layer YOLOv8 feature extraction stage. …”
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Research on Lightweight Model of Multi-person Pose Estimation Based on Improved YOLOv8s-Pose by FU Yu, GAO Shuhui

“…A small object detection head is then added to the network to reduce the missed detection of small objects. Lastly, the CIOU loss function is replaced with Focal-EIOU to enhance the accuracy of human key point regression. …”
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EAD-YOLOv10: Lightweight Steel Surface Defect Detection Algorithm Research Based on YOLOv10 Improvement by Hu Haoyan, Tong Jinwu, Wang Haibin, Lu Xinyun

“…In response to the issues of low detection accuracy (DA), slow speed, and missed detections caused by the complex texture background and diverse shapes of surface defects (SD) in steel, this paper designs an improved lightweight YOLOv10 model called EAD-YOLOv10. …”
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Through attraction to the deterrence: Issues and possibilities of the Western Balkan countries by Subotić Milovan

“…The chance that the Republic of Serbia has (again) - to replace the role of decades long deterrence factor with the progressive one, attraction - should not be missed.…”
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Unlocking Book Genre from Covers: A Multimodal Approach to Book Genre Prediction by Reza Toosi, Alireza Hosseini, Ramin Toosi, Mohammad Ali Akhaee

“…In this paper, we use VLM-generated descriptions and integrate these rich descriptions as a new textual feature. …”
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An Improved YOLOv8n-Based Method for Detecting Rice Shelling Rate and Brown Rice Breakage Rate by Zhaoyun Wu, Yehao Zhang, Zhongwei Zhang, Fasheng Shen, Li Li, Xuewu He, Hongyu Zhong, Yufei Zhou

“…Accurate and real-time detection of rice shelling rate (SR) and brown rice breakage rate (BR) is crucial for intelligent hulling sorting but remains challenging because of small grain size, dense adhesion, and uneven illumination causing missed detections and blurred boundaries in traditional YOLOv8n. …”
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Wastewater-Based Surveillance of Human Adenoviruses in Italy: Quantification by Digital PCR and Molecular Typing via Nanopore Amplicon Sequencing by Carolina Veneri, G. Bonanno Ferraro, D. Congiu, A. Franco, D. Brandtner, P. Mancini, M. Iaconelli, The SARI Network, L. Lucentini, E. Suffredini, Giuseppina La Rosa

“…This comprehensive approach highlights the added value of ONT long-read sequencing in uncovering the genetic complexity of adenoviruses in wastewater, particularly in detecting rare or low abundance types that conventional methods may miss. Our findings highlight the value of integrating quantitative and high-resolution molecular tools in WBE to improve surveillance and better understand the epidemiology of viral pathogens circulating in the human population.…”
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Ship Contour: A Novel Ship Instance Segmentation Method Using Deep Snake and Attention Mechanism by Chen Chen, Songtao Hu, Feng Ma, Jie Sun, Tao Lu, Bing Wu

“…This method utilizes DLA-60 (deep layer aggregation) as the core network to ensure detection accuracy and speed, and it integrates an efficient channel attention (ECA) mechanism to boost feature extraction capability. …”
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Multimodal Learning for Traffic Risk Prediction: Combining Aerial Imagery With Contextual Data by Hanlin Tian, Yuxiang Feng, Mohammed Quddus, Yiannis Demiris, Panagiotis Angeloudis

“…While traditional models use data sources like road traffic conditions, geometry, and signals, they often miss the spatial interactions between road networks and buildings. …”
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Case Report: A first case of desmin-related myofibrillar myopathy due to inheritance from a confirmed mosaic asymptomatic carrier by Jelle Vlaeminck, Sophie Uyttebroeck, Elke De Schutter, Ann Cordenier, Shauni Wellekens, Erwin Ströker, Kelly De Rooms, Christine Helsen, Frederik J. Hes, Philippe Giron

“…Mosaicism in asymptomatic parents can obscure inheritance patterns, particularly when low-grade mosaic variants in blood may be missed. In case of DES, mosaic carriership has not been described before. …”
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