System Eliminating Emergency Discharges in Industrial Facilities Waste Waters Using Relative Signal Description by V. A. Alekseev, S. I. Yuran, V. P. Usoltsev, D. N. Shulmin

“…The relative description on the components of the lattice function of the spectrum of emergency discharges is used, constructed using the order ratio between the components of the lattice function.The emergency discharge identification can be implemented by comparing the relative description of the emergency discharge spectrum with the reference spectra for the harmful substances that can be present at the given industrial facility, and the standards of the spectra of these substances are presented in the form of a relative description using the ratio “more”–“less”.The authors provide a flow chart for the emergency discharge elimination system, describe its operation and the functions fulfilled by its elements. …”
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SDKU-Net: A Novel Architecture with Dynamic Kernels and Optimizer Switching for Enhanced Shadow Detection in Remote Sensing by Gilberto Alvarado-Robles, Isac Andres Espinosa-Vizcaino, Carlos Gustavo Manriquez-Padilla, Juan Jose Saucedo-Dorantes

“…To address these issues, this study proposes the Supervised Dynamic Kernel U-Net (SDKU-Net), a novel architecture designed to enhance shadow detection in complex remote sensing scenarios. SDKU-Net integrates dynamic kernel adjustment, a combined loss function incorporating Focal and Tversky Loss, and optimizer switching to effectively tackle class imbalance and improve segmentation quality. …”
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Bearing-Only Multi-Target Localization Incorporating Waveguide Characteristics for Low Detection Rate Scenarios in Shallow Water by Xiaohan Mei, Bo Zhang, Duo Zhai, Zhaohui Peng

“…A <i>β</i>-S-dimensional assignment (<i>β</i>-SDA) method incorporating waveguide characteristics is proposed to address the BOMTL problem in shallow water with low detection rates. The estimated distance for the warping transformation is derived from the intersection points of the bearing lines, then the autocorrelation function of the broadband beamforming output is transformed using a warping operator to obtain the corresponding characteristic spectrum. …”
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SDDGRNets: Level–Level Semantically Decomposed Dynamic Graph Reasoning Network for Remote Sensing Semantic Change Detection by Zhuli Xie, Gang Wan, Yunxia Yin, Guangde Sun, Dongdong Bu

“…Semantic change detection technology based on remote sensing data holds significant importance for urban and rural planning decisions and the monitoring of ground objects. …”
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Edge enhancement of potential field data using the enhanced gradient (EG) filter by Ahmad Alvandi, Korimilli N Durga Prasad, Hazel Deniz Toktay

“…Potential field data play a critical role in interpreting various geologic structural features through edge detection filters that aid in mapping subsurface structural features. …”
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Fluorescent carbon quantum dots from Syzygium aromaticum as a selective sensor for Fe3+ and Cd2+ detection in aqueous solution by Said Ali Akbar, Muhammad Hasan, Muhammad Nazar, Ilham Zulfahmi, Edy Miswar, Muhammad Iqhrammullah, Zulkarnain Jalil

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Patient-derived esophageal adenocarcinoma organ chip: a physiologically relevant platform for functional precision oncology by Sanjima Pal, Elee Shimshoni, Salvador Flores Torres, Mingyang Kong, Kulsum Tai, Veena Sangwan, Nicholas Bertos, Swneke Donovan Bailey, Julie Bérubé, Donald E. Ingber, Lorenzo Ferri

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DMM-YOLO: A high efficiency soil fauna detection model based on an adaptive dynamic shuffle mechanism by Jiehui Ke, Renbo Luo, Guoliang Xu, Yuna Tan, Zhifeng Wu, Liufeng Xiao

“…Abstract Soil fauna play a critical role in maintaining ecosystem functions and assessing environmental health, making accurate and efficient detection essential. …”
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Deep Defense Against Mal-Doc: Utilizing Transformer and SeqGAN for Detecting and Classifying Document Type Malware by Gati Lother Martin, Sang-Min Lee, Jong-Hyun Kim, Young-Seob Jeong, Ah Reum Kang, Jiyoung Woo

“…The proposed model will solve this gap by detecting and classifying document-type malware families using script codes, including tags, to write documents and script languages to execute malicious functions. …”
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Simple surface modification of poly(methyl methacrylate) microfluidic microplates for enhanced ultrasensitive multiplexed detection of infectious diseases by Sharma T. Sanjay, Sapna Kannan, XiuJun Li

“…Herein, we report a simple method of functionalization of poly(methyl methacrylate) (PMMA) with polylysine to be used as the microfluidic microplate substrate for enhanced ELISA, enabling rapid, ultrasensitive, and multiplexed detection of infectious diseases. …”
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Plasmonic optical fiber biosensors for ultra-low detection of respiratory syncytial virus via point-of-care tests by Federica Passeggio, Luigi Zeni, Massimiliano Galdiero, Francesco Arcadio, Carla Zannella, Anna De Filippis, Chiara Marzano, Ines Tavoletta, Fabiana Napolitano, Rosalba Pitruzzella, Giuseppe Portella, Nunzio Cennamo

“…Hence, the results establish the POF-based RSV biosensor as a sensitive, cost-effective, ultra-fast, capable of being connected to the Internet, and a scalable alternative to traditional RSV detection methods, offering a promising tool for improving diagnostic capabilities in clinical and resource-limited settings.…”
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Waterbody Detection and Reservoir Water Level Prediction Using Bayesian Mixture Models with Sentinel-1 GRD Data by DongHyeon Yoon, Ha-Eun Yu, Euiho Hwang, Ki-mook Kang, Gibeom Nam, Jin-Gyeom Kim

“…For future research, higher-resolution data or complementary algorithms may further enhance detection accuracy for smaller and more complex water features, contributing to more refined water resource management strategies.…”
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Cholinergic Mechanisms of Target Oddball Stimuli Detection: The Late “P300-Like” Event-Related Potential in Rats by A. Ahnaou, R. Biermans, W. H. I. M. Drinkenburg

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A Lightweight YOLOv8s Algorithm for Ceiling Fan Blade Defect Detection With Optimized Pruning and Knowledge Distillation by Qinyuan Huang, Chen Fan, Yuqi Sun, Jiaxiong Huang, Wengziyang Jiang

“…While industrial ceiling fans play a vital role in maintaining efficient airflow and system stability within factory settings, surface defects on their blades that arise over time can disrupt their functionality and create safety hazards. Detecting these surface defects is crucial; however, accurate and rapid detection typically involves complex machine vision algorithms, such as You Only Look Once (YOLO) networks, that require considerable computing resources, which contradicts the industry&#x2019;s preference for simpler algorithms that can be deployed using low-cost computing power. …”
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A Cross-Stage Focused Small Object Detection Network for Unmanned Aerial Vehicle Assisted Maritime Applications by Gege Ding, Jiayue Liu, Dongsheng Li, Xiaming Fu, Yucheng Zhou, Mingrui Zhang, Wantong Li, Yanjuan Wang, Chunxu Li, Xiongfei Geng

“…Then, structural pruning was applied to refine the model and enhance its capability in detecting small objects. Moreover, to conserve computational resources, a lightweight CED module was introduced to reduce parameters and conserve the computing resources of the UAV. …”
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Innovative machine learning-based prediction of early airway hyperresponsiveness using baseline pulmonary function parameters by Hua Yang, Xingru Zhao, Zhuochang Chen, Lihong Yang, Guihua Zhao, Chenxiao Xu, Jinyi Xu

“…BackgroundThe Bronchial Provocation Test (BPT) is the gold standard for diagnosing airway hyperresponsiveness (AHR) in suspected asthma patients but is time-consuming and resource-intensive. This study explores the potential of baseline pulmonary function parameters, particularly small airway indices, in predicting AHR and develops a machine learning-based model to improve screening efficiency and reduce unnecessary BPT referrals.MethodsThis retrospective study analyzed baseline pulmonary function data and BPT results from Henan Provincial People’s Hospital (May to September 2024). …”
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Complex-amplitude-modulated meta-device for optical image processing by Xinchen Jiang, Peicheng Lin, Yeang Zhang, Tao Tao, Yuan Du, Xuecou Tu, Ting Xu, Yan-qing Lu, Jun-long Kou

“…However, considering that electronic convolutional operation always contains million-level parameters and complex calculation process, it consumes a large number of computing resources and time. To overcome these limitations, we proposed a design of complex-amplitude-modulated meta-device which could perform various functions of image processing. …”
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Investigation of <i>Atraphaxis virgata</i>, an Unexplored Medicinal Plant Rich in Flavonoids, as a Functional Material by Soeun Shin, Seunghee Kim, Jeongho Lee, Hyerim Son, Jin-Hyub Paik, Nadezhda Gennadievna Gemejiyeva, Zhanat Zhumabekovna Karzhaubekova, Taek Lee, Hah Young Yoo

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New groups of highly divergent proteins in families as old as cellular life with important biological functions in the ocean by Duncan Sussfeld, Romain Lannes, Eduardo Corel, Guillaume Bernard, Pierre Martin, Eric Bapteste, Eric Pelletier, Philippe Lopez

“…However, despite significant progresses, a large portion of proteins predicted from metagenomes remain today unannotated, both taxonomically and functionally, across many biomes and in particular in oceanic waters. …”
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BASSET: Bandpass-adaptive Single-pulse Search Toolkit—Optimized Subband Pulse Search Strategies for Faint Narrowband Fast Radio Bursts by J. H Cao, P. Wang, D. Li, Q. H. Pan, K. Mao, C. H. Niu, Y. K. Zhang, Q. Y. Qu, W. J. Lu, J. S. Zhang, Y. H. Zhu, Y. D. Wang, H. X. Chen, X. L. Chen, J. H. Fang, Y. Feng, H. Gao, Y. F. Huang, J. Li, C. C. Miao, C. W. Tsai, J. M. Yao, S. P. You, R. S. Zhao, Q. Z. Liu, S. M. Weng, S. H. Yew, J. Zhang, L. Zhang, E. Gügercinoğlu, D. K. Zhou, W. W. Zhu

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