A Real-Time Approach for Assessing Rodent Engagement in a Nose-Poking Go/No-Go Behavioral Task Using ArUco Markers by Thomas Smith, Trevor Smith, Fareeha Faruk, Mihai Bendea, Shreya Kumara, Jeffrey Capadona, Ana Hernandez-Reynoso, Joseph Pancrazio

“…Behavioral neuroscience requires precise and unbiased methods for animal behavior assessment to elucidate complex brain–behavior interactions. Traditional manual scoring methods are often labor-intensive and can be prone to error, necessitating advances in automated techniques. …”
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Capsule phase microextraction methodology: Applications and future perspective by Shaikh Manirul Haque, Abuzar Kabir, Torki Zughaibi, Noorfatimah Yahaya, Bharti Jain, Rajeev Jain, Masoom Raza Siddiqui

“…Extraction plays a crucial role in the quantitative analysis of analytes across various matrices, particularly in biological and other complex samples, where accurate detection and determination would be challenging without effective extraction. …”
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Direct and bisulfite-free 5-methylcytosine and 5-hydroxymethylcytosine sequencing at single-cell resolution with scTAPS and scCAPS +  by Xiufei Chen, Jingfei Cheng, Linzhen Kong, Xiao Shu, Haiqi Xu, Masato Inoue, Marion Silvana Fernández-Berrocal, Dagny Sanden Døskeland, Magnar Bjørås, Shivan Sivakumar, Yibin Liu, Jing Ye, Chun-Xiao Song

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Development of an AI model for pneumothorax imaging: Dataset and model optimization strategies for real-world deployment by Wen-Chang Tseng, Yung-Cheng Wang, Wei-Chi Chen, Kang-Ping Lin

“…Conclusions: The AI model shows potential in pneumothorax detection, but performance is influenced by data diversity, image quality, and clinical complexity. …”
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Integrative Transcriptomic and Target Metabolite Analysis as a New Tool for Designing Metabolic Engineering in Yeast by Alejandro Lopez-Barbera, Nerea Abasolo, Helena Torrell, Nuria Canela, Salvador Fernández-Arroyo

“…The selection of target sites to edit using CRISPR/Cas9 can be complex, resulting in non-controlled consequences. …”
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A Blockchain-Based Architecture of Web3.0: A Comprehensive Decentralized Model With Relay Nodes, Unique IDs and P2P by Hyunjoo Yang, Sejin Park

“…When faced with malicious requests, the system significantly reduces verification latency to an average of 0.0106 ms, ensuring rapid rejection and preserving network stability, while legitimate requests are processed efficiently with an average latency of 0.4125 ms.Experiments comparing latency-based and random-based relay selection methods across various network configurations (public-public, public-private, private-private) demonstrate that latency-based selection optimizes connection setup times in low-latency environments, while random-based selection provides robust performance in complex network scenarios. …”
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EXAMINING THE IMPACT OF FEATURE SELECTION TECHNIQUES ON MACHINE AND DEEP LEARNING MODELS FOR THE PREDICTION OF COVID-19 by Hafiza Zoya Mojahid, Jasni Mohamad Zain, Marina Yusoff, Abdul Basit, Abdul Kadir Jumaat, Mushtaq Ali

“…Feature selection is a vital preprocessing step for identifying the most informative features in complex datasets, enhancing the efficiency and accuracy of machine learning models. …”

VIOS-Net: A Multi-Task Fusion System for Maritime Surveillance Through Visible and Infrared Imaging by Junquan Zhan, Jiawen Li, Langtao Wu, Jiahua Sun, Hui Yin

“…The proposed model, VIOS-Net, integrates the advantages of both visible and infrared data sources to meet the challenges of all-weather, all-day ship monitoring under complex environmental conditions. VIOS-Net employs a Shared Bottom network architecture, utilizing both shared and specific feature extraction modules at the model’s lower and upper layers, respectively, to optimize the system’s recognition capabilities and maximize data utilization efficiency. …”
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Integrating pyramid vision transformer and topological data analysis for brain tumor by Dhananjay Joshi, Bhupesh Kumar Singh, Kapil Kumar Nagwanshi, Nitin S. Choubey

“…IntroductionBrain tumor (BT) classification is crucial yet challenging due to the complex and varied nature of these tumors. We present a novel approach combining a Pyramid Vision Transformer (PVT) with an adaptive deformable attention mechanism and Topological Data Analysis (TDA) to address the complexities of BT detection. …”
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Experimental Demonstration of Superconducting Series Nanowire Photon-Number-Resolving Detector at 660 nm Wavelength by Ruiying Xu, Xu Tao, Qi Chen, Xiang Li, Guanghao Zhu, Lin Kang, Labao Zhang, Xiaoqing Jia, Xuecou Tu, Qingyuan Zhao, Biaobing Jin, Weiwei Xu, Jian Chen, Peiheng Wu

“…The results of our 6-element PNR device show clear evidence of <italic>n</italic>-photons differentiation with <italic>n</italic> ranging from 1 to 6. The system detection efficiency reaches 54&#x0025; with the dark counts rate below 10&#x00A0;Hz at 660&#x00A0;nm. …”
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Hyper-induction of IL-6 after TLR1/2 stimulation in calves with bovine respiratory disease. by Cian Reid, John Donlon, Aude Remot, Emer Kennedy, Giovanna De Matteis, Cliona O'Farrelly, Conor McAloon, Kieran G Meade

“…It is a polymicrobial syndrome resulting from a complex interplay of viral and bacterial pathogens with environmental factors. …”
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A Novel Framework for Whole-Slide Pathological Image Classification Based on the Cascaded Attention Mechanism by Dehua Liu, Bin Hu

“…Automated models can rapidly and accurately process large datasets, revolutionizing tumor detection and classification. However, existing methods often rely on single attention mechanisms, failing to fully exploit the complexity of pathological images, especially in extracting critical features from whole-slide images. …”
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Algorithm for pixel-level concrete pavement crack segmentation based on an improved U-Net model by Zixuan Zhang, Yike He, Di Hu, Qiang Jin, Manxu Zhou, Zongwei Liu, Hongli Chen, He Wang, Xinchen Xiang

“…Among the seven comparison models, U-Net-FML has the strongest overall performance, highlighting its engineering value for precise detection and efficient analysis of cracks.…”
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Acoustic virtual sensors for industrial process monitoring using non-negative matrix factorization by Clara Luzon-Alvarez, Maximo Cobos, Jesus Lopez-Ballester, Ana M. Torres-Aranda, Francesc J. Ferri

“…Abstract In modern industrial environments, efficient and non-invasive monitoring of machinery operations is crucial for ensuring process optimization and early fault detection. …”
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On the Usage of Deep Learning Techniques for Unmanned Aerial Vehicle-Based Citrus Crop Health Assessment by Ana I. Gálvez-Gutiérrez, Frederico Afonso, Juana M. Martínez-Heredia

“…This work proposes an end-to-end solution for leaf segmentation, disease detection, and damage quantification, specifically focusing on citrus crops. …”
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An intelligent prediction method for rock core integrity based on deep learning by Zhaoxia Hu, Hua Mei, Lei Yu

“…In IDA-RCF, a two-branch feature extraction network is firstly proposed, in which branch one is used to fully extract the complex and variable local detail fissure features by Deformable convolution, and branch two is used to capture the global context information of the rock core images by EfficientViT network based on the self-attention. …”
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Describing Pulmonary Nodules Using 3D Clustering by Amera Al-Funjan, Farid Meziane, Rob Aspin

“…Computer-aided detection (CAD) systems efficiently succeeded in the nodule detection by 2D processing of computed tomography (CT)-scan lung images; however, the nodule (tumor) description in more detail is still a big challenge that faces these systems.Materials and Methods. …”
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Digital Technologies and Trade Facilitation in Ethiopia: A Mixed-Methods Analysis of Blockchain, AI, and IoT Adoption by Chekole Sete Demeke

“…Data analysis reveals the potential of blockchain to enhance customs transparency and efficiency, AI to expedite cargo clearance and strengthen fraud detection, and IoT to provide improved supply chain visibility. …”
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Strategy of Surgical Treatment of Patients with Pigment Dispersion Syndrome and Myopia by S. N. Sakhnov, O. A. Klokova, P. A. Karagodina, T. I. Arlanova, A. A. Leonova

“…Purpose: to conduct a prospective study of the results of surgical treatment of patients with pigment dispersion syndrome and complex myopic astigmatism. Materials and methods. …”
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Liquid Crystal Microcavity Biosensors for Real-Time Liver Injury Monitoring via Whispering Gallery Mode Laser by Jianwei Wang, Yeshuai Song, Xinyu Dou, Jiapeng Sun, Xinghua Yang, Yu Zhang, Zhihai Liu, Yanzeng Li, Hanyang Li

“…However, existing detection methods often suffer from complex operation, high costs, and limited sensitivity. …”
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