DLE-YOLO: An efficient object detection algorithm with dual-branch lightweight excitation network by Peitao Cheng, Xuanjiao Lei, Haoran Chen, Xiumei Wang

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Lightweight Small Target Detection Algorithm Based on YOLOv8 Network Improvement by Xiaoyi Hao, Ting Li

“…Thirdly, it presents the FocalEloU-Loss function, which significantly enhances detection accuracy by refining bounding box predictions. …”
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An effective method for anomaly detection in industrial Internet of Things using XGBoost and LSTM by Zhen Chen, ZhenWan Li, Jia Huang, ShengZheng Liu, HaiXia Long

“…Finally, combining the optimal threshold and loss function, we propose a model named MIX_LSTM for anomaly detection in IIoT. …”
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Early detection to improve outcome in people with undiagnosed psoriatic arthritis: the PROMPT research programme including RCT by Neil McHugh, Laura Bojke, Mel Brooke Turfrey, Rachel Charlton, Myka Ransom, Laura C Coates, Howard Collier, Claire Davies, Emma Dures, Philip Helliwell, Jana James, Anya Lissina, Vishnu B Madhok, Alison L Nightingale, Jonathan Packham, Catherine Smith, Eldon Spackman, Cerys Tassinari, William Tillett, Sarah T Brown

“…Surveillance for undiagnosed psoriatic arthritis generally detects mild cases as measured by physical function. …”
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An investigation of the distribution of gaze estimation errors in head mounted gaze trackers using polynomial functions by Diako Mardanbegi, Andrew T. N. Kurauchi, Carlos H. Morimoto

“…In this paper we investigate the behavior of the gaze estimation error distribution throughout the image of the scene camera when using polynomial functions. Using simulated scenarios, we describe effects of four different sources of error: interpolation, extrapolation, parallax, and radial distortion. …”
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Arlclustering: an R package for community detection in social networks based on user interaction and association rule learning by Mohamed El-Moussaoui, Mohamed Hanine, Ali Kartit, Tarik Agouti

“…Abstract ARLClustering is an open-source R package for community detection in social networks. …”
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GloFinder: AI-empowered QuPath plugin for WSI-level glomerular detection, visualization, and curation by Jialin Yue, Tianyuan Yao, Ruining Deng, Siqi Lu, Junlin Guo, Quan Liu, Juming Xiong, Mengmeng Yin, Haichun Yang, Yuankai Huo

“…Artificial intelligence (AI) has demonstrated significant success in automating the detection of glomeruli—key functional units of the kidney—from whole slide images (WSIs) in kidney pathology. …”
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Implementation of Efficient Artificial Neural Network Data Fusion Classification Technique for Induction Motor Fault Detection by Altaf S., Mehmood M. S., Imran M.

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Pequi-Derived Carbon Dots as a Fluorescence Quenching Sensor for Sensitive Detection of Fe3+ Ions by B. P. Oliveira, I. M. Sampaio, J. J. P. Oliveira, S. V. Carneiro, R. A. Antunes, P. B. A. Fechine, F. O. M. S. Abreu

“…This study presents the pequi (Caryocar coriaceum) as a new biomass source for carbon dots synthesis. The pequi almond, usually discarded, was used as the biomass precursor in one-step hydrothermal green synthesis of carbon dots. …”
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Portable immuno nano biosensor for multiple disease detection using 3D printed SPR technologies by Aparanji Poosarla, Jagannadha Rao Mokka, Kolla Venkata Atchuta Rao, Mano Pardhavi Dasari

“…The sensor showed the highest sensitivity at 50X concentration of antigen and least at 10x concentration stating maximum and minimum values for a limit of detection. This device using this principle could has wide functionalities to detect multiple biological samples by changing the antibodies to our respective analyte over the reaction chip for multiple times with low cost.…”
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Feature engineering for fault detection and diagnosis in Power Transmission Lines using a tree-based approach by Hassan N. Noura, Zaid Allal, Ola Salman, Khaled Chahine

“…The Power Transmission Line (PTL) is a pivotal infrastructure in the efficient distribution of electrical power, connecting the source generating stations to end-point consumers. …”
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Hybrid Deep Neural Network Optimization with Particle Swarm and Grey Wolf Algorithms for Sunburst Attack Detection by Mohammad Almseidin, Amjad Gawanmeh, Maen Alzubi, Jamil Al-Sawwa, Ashraf S. Mashaleh, Mouhammd Alkasassbeh

“…The strength of DNNs is derived from their ability to model complex functions and to improve detection engines through deeper architecture. …”
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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

“…This new method tracks the recovery of sources in mass bins different from those in which they were injected and incorporates a Poisson likelihood in the forward modeling process, allowing it to correctly handle uncertainties in bins with few or no detections. …”
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Сurrent state of clinical significance of early kidney injury markers by D. N. Khotko, A. I. Khotko, A. I. Tarasenko, A. O. Efimova

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The structural and functional brain alternations in tobacco use disorder: a systematic review and meta-analysis by Longyao Ma, Longyao Ma, Qiuying Tao, Qiuying Tao, Jinghan Dang, Jinghan Dang, Jieping Sun, Jieping Sun, Xiaoyu Niu, Xiaoyu Niu, Mengzhe Zhang, Mengzhe Zhang, Yimeng Kang, Yimeng Kang, Weijian Wang, Weijian Wang, Jingliang Cheng, Jingliang Cheng, Yong Zhang, Yong Zhang

“…BackgroundWhile numerous previous studies have indicated that nicotine intake results in gray matter and functional brain abnormalities in tobacco use disorder (TUD), the majority of results could not be replicated or even reversed. …”
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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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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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Proteolysis and volatile compounds in Mediterranean buffalo milk blue cheese: Quality determinants and functional peptides by Federica Della Cerra, Giuseppina Garro, Rosaria Cozzolino, Sabrina De Pascale, Mariapia Esposito, Gianluca Picariello, Simonetta Caira, Andrea Scaloni, Francesca Marino, Francesco Addeo

“…This study explores the proteolytic changes and volatile organic compound (VOC) profiles occurring during the ripening of Mediterranean buffalo milk blue cheese.The main objective was to characterize bioactive peptides, casein phosphopeptides, and volatile compounds and to assess their potential implications for functional food development.Peptide profiling was conducted using nanoLC-ESI-MS/MS and MALDI-TOF-MS, while VOCs were analyzed via headspace solid-phase microextraction coupled with gas chromatography-mass spectrometry (HS-SPME)-GC-MS.β-casein emerged as the predominant source of bioactive peptides, including sequences with predicted ACE-inhibitory, antimicrobial, and antioxidant activities. …”
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Fermented Buffalo Milk with Conjugated Linoleic Acid-Producing Bacteria: Strain Selection and Functional Applications by Bruna Samara dos Santos Rekowsky, Lorena Brandão Rocha Martinez Fernandez, Katherine Gutierrez Alzate, Carini Aparecida Lelis, Marcelo Resende de Souza, Carolina Oliveira de Souza, Bruno Dutra da Silva, Carlos Adam Conte-Júnior, Carla Paulo Vieira, José Givanildo da Silva, Marion Pereira da Costa

“…Buffalo milk is a rich source of precursor fatty acids for bioactive compounds and provides an optimal environment for bacterial growth. …”
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A near-optimal resource allocation strategy for minimizing the worse-case impact of malicious attacks on cloud networks by Yu-Fang Chen, Frank Yeong-Sung Lin, Kuang-Yen Tai, Chiu-Han Hsiao, Wei-Hsin Wang, Ming-Chi Tsai, Tzu-Lung Sun

“…The proposed model integrates Virtual Machine (VM) initiation decisions and employs the Contest Success Function (CSF) within a two-player max–min game framework to dynamically allocate resources. …”
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