Intraoperative Intraluminal Endoscopy in the Surgical Treatment of Patients with Esophageal Diverticula of Various Localization by A. L. Shestakov, M. V. Khrustaleva, M. E. Shahbanov, N. A. Bulganina, T. T. Bitarov, I. A. Boeva, A. T. Tskhovrebov, I. A. Tarasova, O. V. Rykov, I. M. Selivanova, A. A. Bezaltynnykh

“…To improve the results of surgical treatment of patients with esophageal diverticulum of various localization using intraoperative intraluminal endoscopy. …”
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PATHOLOGICAL COMPLETE RESPONSE TO NEOADJUVANT CHEMORADIOTHERAPY IN PATIENTS WITH LOCALLY ADVANCED GASTRIC CANCER by V. Yu. Skoropad, D. D. Kudriavtsev, L. N. Titova, S. A. Moserov, T. A. Agababyan, S. A. Ivanov, A. D. Kaprin

“…The impact of pathological complete response (pCR) on long-term treatment outcomes was analyzed in patients with locally advanced gastric cancer, who received prolonged neoadjuvant chemoradiotherapy.Material and Methods. …”
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Small target detection algorithm based on SAHI-Improved-YOLOv8 for UAV imagery: A case study of tree pit detection by Xiuhao Liang, Jun Xiang, Sheng Qin, Yundan Xiao, Lifen Chen, Dongxia Zou, Honglun Ma, Dong Huang, Yongxin Huang, Wei Wei

“…The application of deep learning in tree pit detection of unmanned aerial vehicle (UAV) images has problems such as dense distribution, high density, small size, false detections, missed detections, and high localization error. …”
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Analysis of the Assortability of Ophthalmologists Using a Therapy as Part of Routine Medical Care for Patients with Inflammatory Eye Diseases by I. V. Vorobyeva, M. A. Frolov, Yu. B. Slonimskiy

“…Doctors made different diagnoses for referring patients, but significantly more often diagnosis H10.3 was detected — 17.99 % (in 1072 patients). Ophthalmologists preferred to prescribe the following combination of drugs: 1 — antibacterial local, 2 — local antiseptics, 3 — non-steroidal anti-inflammatory local, a combination (antibiotic and glucocorticosteroid), antiallergic in the form of drops of local action. …”
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Outlier Detection and Explanation Method Based on FOLOF Algorithm by Lei Bai, Jiasheng Wang, Yu Zhou

“…This paper introduces a local outlier detection method named FOLOF (FCM Objective Function-based LOF) through an examination of existing algorithms. …”
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Molecular detection of Enterobacter hormaechei in bovine respiratory disease by HAJ Gharban

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Risk averse reproduction numbers improve resurgence detection. by Kris V Parag, Uri Obolski

“…Using simulations, analytic approaches and real-world COVID-19 data stratified at the city and district level, we show that E meaningfully summarises transmission dynamics across groups, balancing bias from the averaging underlying R with variance from directly using local group estimates. An E>1generates timely resurgence signals (upweighting risky groups), while an E<1ensures local outbreaks are under control. …”
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Generic, scalable and decentralized fault detection for robot swarms. by Danesh Tarapore, Anders Lyhne Christensen, Jon Timmis

“…Robot swarms are large-scale multirobot systems with decentralized control which means that each robot acts based only on local perception and on local coordination with neighboring robots. …”
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Partition detection for large scale ad hoc networks by LI Jian-dong, TIAN Ye, SHENG Min, ZHANG Yan, YAO Jun-liang

“…As the failure of a critical node will directly partition a network,a theorem for critical node identification was proved,which indicates that node degree Ni and elementary loop degree Mi of node i are two decisive factors for the exis-tence of a critical node and shows that Ni-Mi≥ 2 is the necessary and sufficient condition for node i being critical.Based on the theorem,a distributed topology partition detection algorithm（distributed partition detection protocol,DPDP） was presented for large scale networks,which achieves the goal of partition detection efficiently by detecting critical nodes in a local area.Theoretic analysis and experiment results show that DPDP has the advantages of low complexity,high accuracy,low cost as well as good scalability,and is superior to other algorithms.…”
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Automatic Detection and Removal of Spiked Points in Hyperspectral Images by Georgi Manchev, Stanislav Penchev, Tsvetelina Georgieva, Eleonora Kirilova, Plamen Daskalov

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Diffuse pleural metastases of osteosarcoma detected by bone scan by André Ribeiro, Eduardo Lima, Daniel Lima

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Joint detection and re-identification for occluded person search by Ye Li, Shizhen Shuai, Yunhan Zhou, Binbin Deng, Dongxing Zhang

“…Therefore, based on the DINO detection model, a method is proposed for jointly optimizing pedestrian detection and re-identification (DINOPS): a part attention mechanism is introduced to integrate global and local pedestrian features, reduce missed detection and improve the re-identification ability. …”
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Recent Advances on Fluorescent Sensors for Detection of Pathogenic Bacteria by Xu Tang, Qi Qi, Binrong Li, Zhi Zhu, Jian Lu, Lei Liu

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Deep Autoencoders for Unsupervised Anomaly Detection in Wildfire Prediction by İrem Üstek, Miguel Arana‐Catania, Alexander Farr, Ivan Petrunin

“…The first used a deep autoencoder to obtain latent features, which were then fed into clustering models, isolation forest, local outlier factor and one‐class support vector machines for anomaly detection. …”
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A multimodal framework for pepper diseases and pests detection by Jun Liu, Xuewei Wang

“…Our detection results show a mAP@0.5 of 91.93% and a detection speed of 121.8 frames per second. …”
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A Lightweight Direction-Aware Network for Vehicle Detection by Luxia Yang, Yilin Hou, Hongrui Zhang, Chuanghui Zhang

“…In this paper, we propose a lightweight direction-aware network (LDAN) based on the YOLOv8 for vehicle detection on mobile devices. First, a lightweight C2f-GSP module is proposed to optimize the backbone network, which enhances the interaction of local features and fully extracts vehicle information. …”
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Neural models for detection and classification of brain states and transitions by Arnau Marin-Llobet, Arnau Manasanch, Leonardo Dalla Porta, Melody Torao-Angosto, Maria V. Sanchez-Vives

“…This approach distinguishes brain states such as slow oscillations, microarousals, and wakefulness with high confidence. Using chronic local field potential recordings from rats, our method achieved a global accuracy of 91%, with up to 96% accuracy for certain states. …”
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Nonlocal electrical detection of reciprocal orbital Edelstein effect by Weiguang Gao, Liyang Liao, Hironari Isshiki, Nico Budai, Junyeon Kim, Hyun-Woo Lee, Kyung-Jin Lee, Dongwook Go, Yuriy Mokrousov, Shinji Miwa, Yoshichika Otani

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Hybrid Learning Framework for Explainable Cardiovascular Disease Detection by Saeed Al Gharib, Jinan Charafeddine, Fadi Dornaika, Samir Haddad

“…These results underscore the potential of HPEM as a clinically relevant tool for early detection and risk stratification of cardiovascular disease.…”
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AI-Powered Mobile App for Nuclear Cataract Detection by Alicja Anna Ignatowicz, Tomasz Marciniak, Elżbieta Marciniak

“…This study explores and presents a mobile application for Android devices designed for the detection of cataracts using deep learning models. …”
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