A weakly-supervised deep learning model for end-to-end detection of airfield pavement distress by Zefeng Tao, Hongren Gong, Liming Liu, Lin Cong, Haimei Liang

“…To address the challenge of limited high-quality manual annotations, we propose a novel end-to-end distress detection model called class activation map informed weakly-supervised distress detection (WSDD-CAM ). …”
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YOLOLS: A Lightweight and High-Precision Power Insulator Defect Detection Network for Real-Time Edge Deployment by Qinglong Wang, Zhengyu Hu, Entuo Li, Guyu Wu, Wengang Yang, Yunjian Hu, Wen Peng, Jie Sun

“…Real-time insulator defect detection is critical for ensuring the reliability and safety of power transmission systems. …”
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YOLO-SRMX: A Lightweight Model for Real-Time Object Detection on Unmanned Aerial Vehicles by Shimin Weng, Han Wang, Jiashu Wang, Changming Xu, Ende Zhang

“…Consequently, this approach enhances the model’s localization accuracy for small targets in complex scenes. …”
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Potential role of electroencephalographic monitoring for diagnosis and treatment of local anesthetic systemic toxicity during general anesthesia: a case report by Ryo Wakabayashi, Seiichi Azuma, Saori Hayashi, Yuji Ueda, Masaki Iwakiri, Masaaki Asamoto, Kanji Uchida

“…Abstract Background Local anesthetic systemic toxicity (LAST) is a rare but potentially life-threatening complication. …”
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Defects Localization and Classification Method of Power Transmission Line Insulators Aerial Images Based on YOLOv5 EfficientNet and SVM by Lin Li, Qiaoling Yin, Xiaofeng Wang, Hang Wang

“…The framework specifically targets overcoming the challenges associated with low signal-to-noise ratios in defect detection. The proposed approach divides the task into two primary modules: 1) YOLOv5-based object detection for accurate defect localization, and 2) defect classification using EfficientNet and SVM. …”
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A Two-Stage Deep Learning Method for Marine Oil Spill Localization and Segmentation From Synthetic Aperture Radar Images by Xudong Huang, Biao Zhang, William Perrie

“…Consequently, it is crucial to develop effective techniques for the rapid detection of marine oil spills using satellite observations. …”
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Localized Subcutaneous Insulin-Derived Amyloidosis Excised after Evaluation Using Ultrasonography in a Patient with Type 2 Diabetes Mellitus by Seiya Hagiwara, Shinji Taneda, Takaya Fukumoto, Kazuya Hagiwara, Minoru Kikuchi, Tetsunori Kimura, Hidetaka Nakayama, Naoki Manda

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Local Mean Normalization of Microarray Element Signal Intensities across an Array Surface: Quality Control and Correction of Spatially Systematic Artifacts by Carlo Colantuoni, George Henry, Scott Zeger, Jonathan Pevsne

“…Here we present a methodology for the normalization of element signal intensities to a mean intensity calculated locally across the surface of a DNA microarray. These methods allow the detection and/or correction of spatially systematic artifacts in microarray data. …”
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Localized Bearing Fault Analysis for Different Induction Machine Start-Up Modes via Vibration Time–Frequency Envelope Spectrum by Jose E. Ruiz-Sarrio, Jose A. Antonino-Daviu, Claudia Martis

“…The analysis of extracted low-frequency characteristic frequencies conducted in this study demonstrates the feasibility of detecting early-stage localized bearing defects in induction motors across various operating conditions and actuation modes.…”
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M_split Estimation with Local or Global Robustness Against Outliers—Applications and Limitations in LiDAR Data Processing by Patrycja Wyszkowska, Robert Duchnowski

“…From a practical point of view, the variants that are globally or locally robust against outliers seem very promising. …”
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iPiDA-LGE: a local and global graph ensemble learning framework for identifying piRNA-disease associations by Hang Wei, Jialu Hou, Yumeng Liu, Alexey K. Shaytan, Bin Liu, Hao Wu

“…However, the existing methods encounter challenges such as over-smoothing in feature learning and overlooking specific local proximity relationships, resulting in limited representation of piRNA-disease pairs and insufficient detection of association patterns. …”
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Spatio-temporal expansion patterns and influencing factors in China's new local retail industry: A case study of Luckin Coffee. by FengXun Qi, WeiShan Qin, Xiaohan Li

“…with the increased penetration of the Internet, artificial intelligence, and other technologies, New Retail, an emerging commercial sector in cities, has gained significant momentum. As a new local retail brand in China, Luckin Coffee has actively explored the new retail model and rapidly captured the market. …”
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INVESTIGATION OF OPTIMAL CONDITIONS FOR THE PRODUCTION OF POLY GAMMA GLUTAMIC ACID (Γ -PGA) FROM A LOCAL ISOLATE OF THE BACILLUS MEGATERIUM by E. J. Al-Attar, A. H. H. Alzobaay, S. K. Hasan

“…This study involved the production of poly-γ-glutamic acid (γ-PGA) using a local isolate of the Bacillus megaterium bacteria. …”
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Anatomically Guided Deep Learning System for Right Internal Jugular Line (RIJL) Segmentation and Tip Localization in Chest X-Ray by Siyuan Wei, Liza Shrestha, Gabriel Melendez-Corres, Matthew S. Brown

“…Although RIJL is the most widely used type of CVCs, there is a paucity of investigations focused on its accurate segmentation and tip localization. In this study, we propose a deep learning system that integrates an anatomical landmark segmentation, an RIJL segmentation network, and a postprocessing function to segment the RIJL course and detect the tip with accuracy and precision. …”
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A proposed framework for the development and qualitative evaluation of West Nile virus models and their application to local public health decision-making. by Alexander C Keyel, Morgan E Gorris, Ilia Rochlin, Johnny A Uelmen, Luis F Chaves, Gabriel L Hamer, Imelda K Moise, Marta Shocket, A Marm Kilpatrick, Nicholas B DeFelice, Justin K Davis, Eliza Little, Patrick Irwin, Andrew J Tyre, Kelly Helm Smith, Chris L Fredregill, Oliver Elison Timm, Karen M Holcomb, Michael C Wimberly, Matthew J Ward, Christopher M Barker, Charlotte G Rhodes, Rebecca L Smith

“…Our overarching goal is to bridge the existing gap between model development, which is usually conducted as an academic exercise, and practical model applications, which occur at state, tribal, local, or territorial public health and mosquito control agency levels. …”
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Non-invasive liquid biopsy based on transcriptomic profiling for early diagnosis of occult peritoneal metastases in locally advanced gastric cancer by Ping’an Ding, Haotian Wu, Jiaxiang Wu, Tongkun Li, Renjun Gu, Lilong Zhang, Xiaoman Niu, Jinchen He, Jiaxuan Yang, Peigang Yang, Honghai Guo, Yuan Tian, Ning Meng, Xiaolong Li, Zhenjiang Guo, Lingjiao Meng, Qun Zhao

“…Abstract This study proposes a novel non-invasive diagnostic approach utilizing transcriptomic profiling of liquid biopsy samples for the early detection of occult peritoneal metastases in locally advanced gastric cancer (LAGC). …”
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Resolving Non-Proportional Frequency Components in Rotating Machinery Signals Using Local Entropy Selection Scaling–Reassigning Chirplet Transform by Dapeng Quan, Yuli Niu, Zeming Zhao, Caiting He, Xiaoze Yang, Mingyang Li, Tianyang Wang, Lili Zhang, Limei Ma, Yong Zhao, Hongtao Wu

“…In response to these issues, an enhanced time–frequency analysis approach, termed Local Entropy Selection Scaling–Reassigning Chirplet Transform (LESSRCT), has been developed to improve the representation accuracy for complex non-stationary signals. …”
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Two Types of Distributed CFAR Detection Based on Weighting Functions in Fusion Center for Weibull Clutter by Amir Zaimbashi

“…Moreover, for the Weibull clutter, the expression of the weighting functions, based on ML and OS CFAR processors in local detectors, is obtained. In the binary type, we analyzed various distributed detection schemes based on maximum, minimum, and summation rules in fusion center. …”
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Immunodiagnostic plasma amino acid residue biomarkers detect cancer early and predict treatment response by Cong Tang, Patrícia Corredeira, Sandra Casimiro, Qi Shi, Qiwei Han, Wesley Sukdao, Ana Cavaco, Cecília Melo-Alvim, Carolina Ochôa Matos, Catarina Abreu, Steven Walsh, Gonçalo Nogueira-Costa, Leonor Ribeiro, Rita Sousa, Ana Lorena Barradas, João Eurico Fonseca, Luís Costa, Emma V. Yates, Gonçalo J. L. Bernardes

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Genetic analysis of local pear varieties in Weixian county, Hebei province based on whole-genome resequencing and chloroplast DNA sequences by QI Dan, DONG Xingguang, LI Zhenjiang, CAO Yufen, LU Lu, TIAN Luming, LI Junxi, ZHANG Ying, HUO Hongliang, MIAO Xiuchen, XU Jiayu, LIU Chao, LI Jinling, ZHU Ruiying

“…Based on the whole-genome resequencing data and chloroplast DNA variation, we investigated the genetic relationship and background of local pear cultivars in Weixian. The clean reads were aligned to the reference genome Yunhong No.1 using BWA v0.7.15 software for whole-genome alignment; SNP detection and filtering were performed using GATK v4.2.5.0 software; Population structure analysis was conducted using Admixture v1.3.0 and principal component analysis was carried out using GCTA v1.93.2 software; Treebest v1.9.2 software was used to calculate the distance matrix, and a phylogenetic tree was constructed using the neighbor-joining method. …”
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