Deep LBLS: Accelerated Sky Region Segmentation Using Hybrid Deep CNNs and Lattice Boltzmann Level-Set Model by Fatema A. Albalooshi, M. R. Qader, Yasser Ismail, Wael Elmedany, Hesham Al-Ammal, Muttukrishnan Rajarajan, Vijayan K. Asari

“…Accurate segmentation of the sky region is crucial for various applications, including object detection, tracking, and recognition, as well as augmented reality (AR) and virtual reality (VR) applications. …”
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甲基转移酶3对人脑血管平滑肌细胞基因表达及增殖和迁移功能的影响 Effects of Methyltransferase 3 on Gene Expression, Proliferation, and Migration Functions of Human Brain Vascular Smooth Muscle Cells... by 孟晨曦1，孙洪英2，张佳2，毛戬2，杨阳3，策乐木格3 (MENG Chenxi1, SUN Hongying2, ZHANG Jia2, MAO Jian2, YANG Yang3, Celemuge3 )

“…结论 在HBVSMC中干扰METTL3基因表达可能通过下调靶基因ZNF395和ZNF548 mRNA的m6A修饰水平进而增强HBVSMC的增殖和迁移能力。 Abstract: Objective To investigate the effects of methyltransferase 3 (METTL3) on gene expression, proliferation, and migration functions of human brain vascular smooth muscle cells (HBVSMC). …”
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Uncovering potential interviewer-related biases in self-efficacy assessment: a study among chronic disease patients by Magdalena Holter, Alexander Avian, Martin Weger, Sanja Strini, Monja Michelitsch, Victoria Winkler, Agnes M. Kloft, Julia Groß, Thomas Falb, Maximilian Gabriel, Manuel Großpötzl, Andreas Wedrich, Andrea Berghold

“…Conclusions Given that no DIF was detected concerning interviewers, our findings indicate that an objective assessment of self-efficacy in a face-to-face interview may be feasible, provided that interviewers receive appropriate training. …”
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Stable spatial patterns of concentrations of antibiotic resistant bacteria in irrigation water by Matthew Daniel Stocker, Jaclyn Elizabeth Smith, Billie Jean Morgan, Matthew Joseph Prinn, Yakov Pachepsky

“…The Empirical Orthogonal Function (EOF) analysis was used to detect persistent spatial patterns of tetracycline- and cefotaxime-resistant bacteria as well as water quality parameters. …”
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Research on Underwater Target Detection Technology Based on SMV-YOLOv11n by Dongcheng Liao, Yijun Shen, Jinyu Ou, Yanlian Du

“…High-precision underwater object detection is a crucial component for improving the efficiency of marine resource development. …”
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Research and optimization of a multilevel fire detection framework based on deep learning and classical pattern recognition techniques by Qi Liu, Hong Chen, Da Lin

“…Our objective is to further develop FFDNet into a robust, efficient, and widely applicable tool for flame detection, thereby providing significant technical support for fire prevention and response initiatives.…”
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Small target detection of bearing surface defects based on improved YOLOv5s. by Haisong Xu, Xiaolin Shi, Han Zhang, Fan Yang, Yun Chen

“…Finally, an original loss function is replaced with Normalized Wasserstein Distance (NWD) to decrease the susceptibility to small object positional deviations. …”
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An enhanced lightweight model for apple leaf disease detection in complex orchard environments by Ge Wang, Wenjie Sang, Fangqian Xu, Yuteng Gao, Yue Han, Qiang Liu

“…Additionally, we design a detail-enhanced shared convolutional scaling detection head (DESCS-DH) to enable the model to effectively capture edge information of diseases and address issues such as poor performance in object detection across different scales. …”
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Multi-Person Fall Detection Using Data Assimilation Method With Kalman Filter by Jinmo Yang, Ye Jin Jin, R. Young Chul Kim

“…Fall detection is an essential technology for ensuring the safety of elderly individuals, as falling accidents are critical and can cause significant functional damage in old age. …”
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Tomato ripeness detection method based on FasterNet block and attention mechanism by Ming Chen, Yixuan Xu, Wanxiang Qin, Yan Li, Jiyang Yu

“…In addition, the SimAM attention mechanism is introduced, enabling the model to intelligently focus on key features of the tomatoes, thereby improving its ability to recognize tomatoes at different maturity stages and enhancing detection accuracy. Furthermore, the generalized intersection over union loss function is employed to introduce a target box overlap metric, optimizing the object localization process and improving the precision of fruit positioning. …”
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Comprehensive quality detection method for tomatoes combining machine vision and spectral techniques by GUO Dechao, RAO Yuanli, ZHANG Hao, LI Chunfeng, ZHAO Qiang

“…By optimizing the YOLOv8 model in four aspects (lightweight convolution, small object detection layer, CBAM attention mechanism, and loss function), external defect detection was completed, and external quality grading was achieved by combining fruit shape index and tomato size. …”
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Effects of search intent on eye-movement patterns in a change detection task by Sangil Lee, Minho Lee, Hyeonggyu Park, Mun-Seon Chang, Ho-Wan Kwak

“…In the “high-specific intent” condition, participants were told that a change would occur, and that an object would disappear. In addition to this main change detection task, participants also had to perform a primary task, in which they were required to name aloud the colors of objects in the pre-change scene. …”
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RT-DETR-Smoke: A Real-Time Transformer for Forest Smoke Detection by Zhong Wang, Lanfang Lei, Tong Li, Xian Zu, Peibei Shi

“…Unlike generic object detection, smoke detection faces unique challenges due to smoke’s semitransparent, fluid nature, which often leads to false positives in complex backgrounds and missed detections—particularly around smoke edges and small targets. …”
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THE MODEL OF DETECTING LEGISLATION VIOLATORS AT THE STATE BORDER USING FUZZY LOGIC INFERENCE by Oleksandr S. Androshchuk, Oleksandr V. Mikhaylenko

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A Joint Optimization Method for Cooperative Detection Resources Based on Channel Capacity by Wenda Yang, Minggong Wu, Xiangxi Wen, Kexin Bi

“…Aiming at the resource optimization problem in the cooperative detection task, the objective function is constructed based on the channel capacity, and the artificial bee colony (ABC) algorithm is improved to realize the joint optimization of the UAV swarm trajectory and radiation power. …”
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Short-term effects of a virtual, community-based, task-oriented group exercise programme incorporating a healthcare–community partnership compared to a waitlist control on increasi... by Susan B Jaglal, Rahim Moineddin, Mark T Bayley, Sarah Munce, Jill I Cameron, Ruth Barclay, Heidi Sveistrup, Nancy Margaret Salbach, Elizabeth L Inness, Jennifer O’Neil, Heather M Hanson, C Allyson Jones, Lisa Sheehy, Jean Michelle Legasto-Mulvale, Renato Barbosa dos Santos, Joyce Fung, Robert W Teasell, Margot Catizzone, Nina Hovanec, Gayatri Aravind, Tai-Te Su

“…A virtual delivery model may help overcome challenges with accessing and delivering in-person CBEPs. The study objective is to estimate the short-term effect of an 8-week, virtual, group, task-oriented CBEP called TIME™ (Together in Movement and Exercise) at Home compared with a waitlist control on improving everyday function in community-dwelling adults with mobility limitations.Methods and analysis A randomised controlled trial incorporating a type 1 effectiveness-implementation hybrid design is being conducted in four Canadian metropolitan centres. …”
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Assessment of the sensitivity of diagnostic methods in detecting hemodynamically significant renal artery stenoses by A. M. Erkenova, N. M. Danilov, Yu. G. Matchin, V. V. Kushnir, S. A. Gaman, I. E. Chazova

“…The results of CTA of renal arteries in 88% of cases coincided with the results of selective angiography, and using additional functional methods hemodynamically significant stenosis was confirmed in 32 (48%) patients. …”
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The inconvenient truth of ground truth errors in automotive datasets and DNN-based detection by Pak Hung Chan, Boda Li, Gabriele Baris, Qasim Sadiq, Valentina Donzella

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Noninvasive Detection of Left-Ventricular Systolic Dysfunction by Acoustic Cardiography in Atrial Fibrillation by Roger Dillier, Richard Kobza, Susanne Erne, Michel Zuber, Patricia Arand, Paul Erne

“…Objectives. Assessment of left ventricular (LV) systolic function in patients with atrial fibrillation can be difficult. …”
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Design of an Underwater Robot System for Detecting Defects in Hydraulic Structures at Hydropower Stations by ZHANG Yi, ZHU Jun, YUAN Qingqing, WENG Yewei, PENG Shidong, SHEN Weige

“…Finally, pool functional test validations have confirmed the feasibility of the proposed underwater detection robot system.…”
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