Technique and early outcomes of total thoracoscopic double-valve replacementCentral MessagePerspective by Bo Chen, MD, Tao Wang, MD, Zheng Xu, MD, Zi-he Zheng, MD, Wei Wang, MD, Xin Jiang, MD, Xiao-Fu Dai, MD

“…Objective: Reports on aortic and mitral double-valve replacement through total thoracoscopy are scarce, with surgical techniques constantly evolving. …”
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Robotic ileal ureter replacement for panureteral stricture disease: a step-by-step guide by Emily Ji, Devin Boehm, Jonathan Rosenfeld, Rebecca Arteaga, Jaewoo Kim, Aidan Raikar, Ziho Lee

“…Objective: Traditionally, open ileal ureter replacement (IUR) was a reconstructive option for patients with long-segment ureteral strictures not amenable to excision and primary anastomosis. …”
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To remove or to replace traditional electronic games? A crossover randomised controlled trial on the impact of removing or replacing home access to electronic games on physical act... by Anne J Smith, Leon M Straker, Rebecca A Abbott

“…Objective To evaluate the impact of (1) the removal of home access to traditional electronic games or (2) their replacement with active input electronic games, on daily physical activity and sedentary behaviour in children aged 10–12 years.Design Crossover randomised controlled trial, over 6 months.Setting Family homes in metropolitan Perth, Australia from 2007 to 2010.Participants 10-year-old to 12-year-old children were recruited through school and community media. …”
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Considerations in Orbital Reconstruction for the Oncologic Surgeon: Critical versus Optimal Objectives by Alex T. Legocki, Brett A. Miles

“…Conclusions Critical versus optimal objectives must be set in orbital reconstruction, and a systematic approach should be followed. …”
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Foundations of radar synthesis theory of phantom objects formation in SAR images by Volodymyr Pavlikov, Simeon Zhyla, Pavlo Pozdniakov, Denys Kolesnikov, Hlib Cherepnin, Olexandr Shmatko, Oleksii Odokiienko, Pavlo Malashta, Eduard Tserne

“…The primary research area is developing a theory of false object formation in aerospace radar images. This process involves adding the spatial and temporal trajectory signals of the object information features that are absent on the underlying surface irradiated by an aerospace carrier. …”
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Study on lightweight strategies for L-YOLO algorithm in road object detection by Ji Hong, Kuntao Ye, Shubin Qiu

“…Second, a small object detection layer is introduced into the feature fusion network, replacing the original C2f modules with the new CStar modules. …”
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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

“…In computer vision applications, the primary task of object detection is to answer the following question: “What object is present and where is it located?”. …”
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Foreign Object Detection on Insulators Based on Improved YOLO v3 by Huankun ZHANG, Junyi LI, Bin ZHANG

“…However, the outdoor environment in which the insulators are located can easily lead to the hanging of foreign objects. This paper proposes a novel method for foreign object detection on insulators based on the improved YOLO v3: Dense-YOLO v3. …”
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Human Body Tracking Method Based on YOLOV5s Object Detection by Shaymaa Tarkan Abdullah, Bashar Talib AL-Nuaimi, Hazim Noman Abed

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Tower view object detection based on ECIOU structure embedded in YOLO by QIAN Jide, YAN Hao, LIANG Yan, ZENG Changchang, MOU Yihao

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IMAGE OF THE TYUMEN REGION IN OBJECTIVE AND SUBJECTIVE MEASUREMENTS: A COMPARATIVE ANALYSIS by Olga S. Pustoshinskaia

“…It is established that the objective image integrates positive and problem manifestations of regional reality. …”
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Improved YOLOv8 Object Detection Method for Drone Aerial Images by Zhong Shuai, Wang Liping

“…A new improved YOLOv8 drone aerial image object detection method, referred to as the BDI-YOLO model, is proposed to address the problems of small target object size and blurry feature information in drone aerial images, which can lead to missed and false detections. …”
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Optimized DINO model for accurate object detection of sesame seedlings and weeds by Yong Wang, ShunFa Xu, ZhenYuan Ye, KongHao Cheng

“…To address this issue in agricultural object detection, we developed a custom dataset containing 1,300 images of sesame seedlings and weeds. …”
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Lightweight YOLO models for object detection based on low-rank decomposition by LIN Delü, LIU Chang, CHEN Qi, ZENG Yang, HE Kun

“…As train intelligence continues to advance, numerous studies have emerged to explore lightweight techniques for object detection models on onboard equipment, for the purpose of improving calculation efficiency amidst limited resources. …”
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PS-YOLO: A Lighter and Faster Network for UAV Object Detection by Han Zhong, Yan Zhang, Zhiguang Shi, Yu Zhang, Liang Zhao

“…The operational environment of UAVs poses unique challenges for object detection compared to conventional methods. …”
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Multi-Vehicle Object Recognition Method Based on YOLOv7-W by Xin Liu, Jingbin Zhao, Zhi Zhang, Rongxing Wu, Xun Li

“…To meet the demands of intelligent traffic control systems for high-precision vehicle object recognition, an improved recognition algorithm, YOLOv7-W, is proposed based on the YOLOv7 algorithm. …”
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An efficient network for object detection in scale-imbalanced remote sensing images by Li Zhongyu, Jing Xiaoping, Sun Rui, Yang Yazhi, Wang Wei, Zhu Hongzhen

“…The model first introduces an improved frequency channel attention mechanism to design a feature extraction module to improve the extraction of key features by the neural network; second, considering that the complete intersection over union method does not comprehensively consider the aspect ratio of the bounding box, which will cause the loss of small-scale target feature information, the efficient intersection over union method is used to improve it; then, because of the high missed detection rate of the non-maximum suppression (NMS) method, Soft-EIoU-NMS is used to replace the original NMS method. The experiment first conducted ablation experiments on the LEVIR dataset, where the target scale changes little and the number of ground object categories is small, and the DIOR dataset, where the target scale changes greatly and the number of ground object categories is large. …”
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Why is the idea of AI completely replacing physicians a pseudo-problem? A philosophical analysis by Alireza Monajemi

“…The overarching objective is to effectively address the core mission of medicine, which is providing optimal treatment and compassionate care for all patients. …”
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A Complete Functional Characterization of Patients with Severe Knee Osteoarthritis in Need of Total Knee Replacement by Vinicius Taboni Lisboa, Bruno de Paula Leite Arruda, Rafael de Andrade Tambascia, Alessandro Rozin Zorzi, Alberto Cliquet, Gustavo Constantino de Campos

“…Background/Objectives: The current literature lacks objective criteria to correctly identify patients in need of a total knee replacement. …”
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Safety and Feasibility of Dental Evaluation in Patients Undergoing Heart Valve Replacement Surgery: Retrospective Analysis by Lara Sviličić, Kaja Topolnjak, Petra Ivanišić, Ivan Mikić, Danica Vidović Juras, Bernard Janković, Valentina Rajić, Marko Vuletić, Marko Granić, Dragana Gabrić, Vlaho Brailo

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