Efficacy of brachytherapy for locally advanced bladder cancer: a single-center retrospective clinical study by Xuebing Han, Huiqing Chen, Bin Wang

“…The 3-y DFS and OS were not statistically significant between the two groups (DFS: study group 64.4% vs. control group 51.2%, p = .073; OS: study group 66.7% vs. control group 58.5%, p = .180). Local shifting of the particles was detected in three patients at 1 week to 1 month after the operations in the study group, but no related complications were observed. …”
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Looking at the Distant Universe with the MeerKAT Array: The H i Mass Function in the Local Universe by Amir Kazemi-Moridani, Andrew J. Baker, Marc Verheijen, Eric Gawiser, Sarah-Louise Blyth, Danail Obreschkow, Laurent Chemin, Jordan D. Collier, Kyle W. Cook, Jacinta Delhaize, Ed Elson, Bradley S. Frank, Marcin Glowacki, Kelley M. Hess, Benne W. Holwerda, Zackary L. Hutchens, Matt J. Jarvis, Melanie Kaasinen, Sphesihle Makhathini, Abhisek Mohapatra, Hengxing Pan, Anja C. Schröder, Leyya Stockenstroom, Mattia Vaccari, Tobias Westmeier, John F. Wu, Martin Zwaan

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Global Semantic Localization from Abstract Ellipse-Ellipsoid Model and Object-Level Instance Topology by Heng Wu, Yanjie Liu, Chao Wang, Yanlong Wei

“…Robust and highly accurate localization using a camera is a challenging task when appearance varies significantly. …”
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Portuguese scientific output in medical education between 2013–2022: From local to global networks by Teresa Costa, Sofia Serra, Nuno Neuparth, António Rendas

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Ingestion exposure of natural radionuclide and toxic heavy metallic origin in samples of local staple food by Godwin K. Agbajor, Omamoke O.E. Enaroseha, Damaris Osiga-Aibangbee, Anita Franklin Akpolile, Aziakpono Blessing Umukoro

“…In this study, measurements were made of the concentration of metals of heavy origin (Cd, Cr, Cu and Zn) and activity-characterized concentration of 226Ra, 232Th and 40K in ten samples of local staple food (amala) that are accessible in Abraka by means of Atomic Absorption Spectrometry technique and Gamma ray spectrometry, respectively. …”
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Improved protection scheme for shipboard microgrids based on high frequency impedance method with experimental validation by Asmaa M. Aboelezz, Magdi M. El-Saadawi, Abdelfattah A. Eladl, Magda I. El-Afifi, Vladimír Bureš, Bishoy E. Sedhom

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Assessment of Current and Voltage Signature Analysis for the Diagnosis of Open-Phase Faults in Asymmetrical Six-Phase AC Permanent Magnet Synchronous Motor Drives by Yasser Gritli, Claudio Rossi, Angelo Tani, Domenico Casadei

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Method for Detecting Tiny Defects on Machined Surfaces of Mechanical Parts Based on Object Recognition by Haotian Li, Zhen Wang, Lipeng Qiu, Xichu Wei

“…Initially, referencing the network architectures of Resnet and Yolo, an image detection network was designed featuring a shared encoder, a classification decoder, and a localization decoder. …”
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Multi-Modal Analysis of Bi-Parametric MRI Slices for Lesion Detection in Prostate Cancer Screening by Davide Antonutti, Axel de Nardin, Silvia Zottin, Claudio Piciarelli, Gian Luca Foresti

“…Prostate cancer is a leading cause of cancer-related mortality among men, with early detection playing a critical role in improving patient outcomes. …”
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A Deep Learning-Based Algorithm for Ceramic Product Defect Detection by Junxiang Diao, Hua Wei, Yawei Zhou, Zhihua Diao

“…In crack detection, the average Edge Localization Error (ELE) is reduced by 25%, the Edge Connectivity Rate (ECR) is increased by 15%, the Weak Edge Responsiveness (WER) is improved by 17%, and the frame rate reaches 40 frames per second (f/s), meeting real-time detection requirements. …”
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SFSCDNet: A Deep Learning Model With Spatial Flow-Based Semantic Change Detection From Bi-Temporal Satellite Images by K. S. Basavaraju, N. Sravya, Vibha Damodara Kevala, Shilpa Suresh, Shyam Lal

“…The Attention-Based Siamese Encoder, Cascaded Convolutional Attention Fusion Block, Cascaded Convolutional Attention Refinement Block and Differentiable Binarization layer helps in improving semantic change detection performance. Experimental results of proposed network on the SECOND dataset demonstrate that the proposed model significantly improves the ability to localize critical changes and distinguish between change and no-change regions. …”
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A Fault-Tolerant Detection Fusion Strategy for Distributed Multisensor Systems by Shengli Zhao, Jie Zhou

“…If some local sensors cannot work normally, the detection performance of system may reduce significantly. …”
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Disassembling-Based Structural Damage Detection Using Static Measurement Data by Eun-Taik Lee, Hee-Chang Eun

“…Damage detection methods can be classified into global and local approaches depending on the division of measurement locations in a structure. …”
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Multiscale Motion Detection and Recognition Combining Still Images and Video Sequences by Zhuo Chen

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Microplastics in aquatic ecosystems: Detection, source tracing, and sustainable management strategies by Baihui Wu, Haiyang Yu, Pengyu Lei, Jiaxuan He, Jia Yi, Wei Wu, Hanbing Wang, Qinsi Yang, Guoming Zeng, Da Sun

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Evaluating the effectiveness of participatory science dog teams to detect devitalized Spotted Lanternfly (Lycorma delicatula) egg masses by Sally Dickinson, Mizuho Nita, Edgar O. Aviles-Rosa, Nathan Hall, Erica N. Feuerbacher

“…This study evaluated whether community scientist dog-handler teams could meet standardized detection criteria using SLF egg masses. Teams from across the U.S. were recruited and trained using devitalized egg masses, with oversight provided by local trainers. …”
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Molecular and histological detection of Coxiella burnetii in ruminants in East Java, Indonesia by Handayu Untari, Agus Setiyono, Ekowati Handharyani, Masdiana Padaga, Dwi Astuti, Surachmi Setiyaningsih

“…The results showed that C. burnetii bacteria were only detected in 8 out of 80 (10%) local goat samples from Malang by nested PCR using OMP primer. …”
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YOLO-DAFS: A Composite-Enhanced Underwater Object Detection Algorithm by Shengfu Luo, Chao Dong, Guixin Dong, Rongmin Chen, Bing Zheng, Ming Xiang, Peng Zhang, Zhanwei Li

“…To improve detection accuracy and robustness, this paper proposes an enhanced YOLOv11-based algorithm for underwater object detection that strengthens the ability to capture both local and global details and global contextual information in complex underwater environments. …”
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Enhanced object detection in low-visibility haze conditions with YOLOv9s. by Yang Zhang, Bin Zhou, Xue Zhao, Xiaomeng Song

“…Low-visibility haze environments, marked by their inherent low contrast and high brightness, present a formidable challenge to the precision and robustness of conventional object detection algorithms. This paper introduces an enhanced object detection framework for YOLOv9s tailored for low-visibility haze conditions, capitalizing on the merits of contrastive learning for optimizing local feature details, as well as the benefits of multiscale attention mechanisms and dynamic focusing mechanisms for achieving real-time global quality optimization. …”
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Log Anomaly Detection Method Based on Transformer and Temporal Convolutional Networks by Niandong Liao, Zihan Liu

“…To overcome these difficulties, this study proposes TranConvAD, a global and local feature extraction method for log anomaly detection. …”
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