Application of the U-Net Deep Learning Model for Segmenting Single-Photon Emission Computed Tomography Myocardial Perfusion Images by Ahmad Alenezi, Ali Mayya, Mahdi Alajmi, Wegdan Almutairi, Dana Alaradah, Hamad Alhamad

“…Background: Myocardial perfusion imaging (MPI) is a type of single-photon emission computed tomography (SPECT) used to evaluate patients with suspected or confirmed coronary artery disease (CAD). Detection and diagnosis of CAD are complex processes requiring precise and accurate image processing. …”
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The 2015 guidelines for the laboratory diagnosis of rheumatic diseases by the All-Russian Public Organization «Association of Rheumatology of Russia» by E. N. Aleksandrova, A. A. Novikov, E. L. Nasonov

“…The important laboratory markers of RDs are acutephase indicators (erythrocyte sedimentation rate, C-reactive protein, etc.) that can assess the inflammatory activity of the disease, its progression pattern, and prognosis during the chronic inflammatory process, as well as therapeutic efficiency. Other laboratory biomarkers (immunoglobulins, immune complexes, cryoglobulins, complement components, cytokines, endothelial activation markers, lymphocyte subpopulations, genetic markers, bone and cartilage tissue metabolic parameters, etc.) are of less clinical value than autoantibodies and acute inflammatory phase parameters in diagnosing RD.…”
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Recent advances of engineering cell membranes for nanomedicine delivery across the blood–brain barrier by Shengnan Yuan, Dehong Hu, Duyang Gao, Christopher J. Butch, Yiqing Wang, Hairong Zheng, Zonghai Sheng

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StomaYOLO: A Lightweight Maize Phenotypic Stomatal Cell Detector Based on Multi-Task Training by Ziqi Yang, Yiran Liao, Ziao Chen, Zhenzhen Lin, Wenyuan Huang, Yanxi Liu, Yuling Liu, Yamin Fan, Jie Xu, Lijia Xu, Jiong Mu

“…Our model achieved a remarkable 91.8% mean average precision (mAP) and 98.5% precision, surpassing numerous mainstream detection models while maintaining computational efficiency. …”
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300 GHz Wireless Link Based on Whole Comb Modulation of Integrated Kerr Soliton Combs by Tomohiro Tetsumoto, Antoine Rolland

“…The experiment shows that simultaneous modulation and detection of multiple comb lines leads to more than 10 times stronger modulation signal strength compared to two-line detection at the receiver. …”
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Automated Icon Extraction from Tourism Maps: A Synergistic Approach Integrating YOLOv8x and SAM by Di Cao, Xinran Yan, Jingjing Li, Jiayao Li, Lili Wu

“…Nevertheless, the intricate shapes and dense distribution of symbols in tourist maps complicate the accurate and efficient detection and extraction using existing methods. …”
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Development and evaluation of a multiplex molecular point-of-care assay for direct identification of Mycobacterium tuberculosis and prioritized non-tuberculous mycobacteria by Qiao-Lian Yi, Yun Wu, Yun Wu, Shuang He, Meng-Li Feng, Xiao-Yu Liu, Xin-Zhu Zhou, Xin-Zhu Zhou, Hao-Tian Gao, Yu-Fan Zhang, Qi-Wen Yang, Qi-Wen Yang, Ying-Chun Xu, Ying-Chun Xu

“…In the pilot study, we established the fastNTM and analyzed its performance regarding limits of detection, reproducibility, specificity and efficiency. …”
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The performance of 76 kHz positional acoustic telemetry is challenged by acoustic conditions in the tailrace of a hydroelectric dam by C. Ryan Hill, Antóin M. O’Sullivan, R. Allen Curry, Tommi Linnansaari, Philip M. Harrison

“…Abstract Background Positional acoustic telemetry permits high-resolution (2D and 3D) tracking of tagged fish based on the speed of sound and time at which acoustic signals are detected at independent receivers. Such positional data has important implications for understanding fish behavior in hydropower tailraces, where movement and fishway passage may be influenced by complex hydraulic conditions. …”
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The pig pose recognition method based on pig body semantic segmentation by Nuonan Huang, Deli Zhu, Liang He, Yi Li

“…Pose recognition in pigs faces several challenges in practical applications, primarily due to high annotation costs, the labor-intensive nature of annotation processes, and the difficulty of achieving accurate target detection in complex environments. To address these challenges, this paper proposes a novel pig pose recognition method based on the semantic segmentation of pig body parts. …”
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MMTraP: Multi-Sensor Multi-Agent Trajectory Prediction in BEV by Sushil Sharma, Arindam Das, Ganesh Sistu, Mark Halton, Ciaran Eising

“…Accurate detection and trajectory prediction of moving vehicles are essential for motion planning in autonomous driving systems. …”
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Spectroscopic and Imaging Technologies Combined with Machine Learning for Intelligent Perception of Pesticide Residues in Fruits and Vegetables by Haiyan He, Zhoutao Li, Qian Qin, Yue Yu, Yuanxin Guo, Sheng Cai, Zhanming Li

“…Pesticide residues in fruits and vegetables pose a serious threat to food safety. Traditional detection methods have defects such as complex operation, high cost, and long detection time. …”
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Cross-Layer Security for 5G/6G Network Slices: An SDN, NFV, and AI-Based Hybrid Framework by Zeina Allaw, Ola Zein, Abdel-Mehsen Ahmad

“…Within the dynamic landscape of fifth-generation (5G) and emerging sixth-generation (6G) wireless networks, the adoption of network slicing has revolutionized telecommunications by enabling flexible and efficient resource allocation. However, this advancement introduces new security challenges, as traditional protection mechanisms struggle to address the dynamic and complex nature of sliced network environments. …”
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Experimental Study on Pore Structure Quantitative Characterization and Enhanced Oil Recovery During Air/CO2 Flooding of Shale Reservoir With Online NMR by Chuanyi Tang, Meng Du, Jiaxing Liu, Lei Bai, Hui Tian, Zhihong Li, Liang Xu, Qiang Luo, Hongxian Liu, Liguo Zhou, Zhengming Yang

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Development of a Chemiluminescence-Based Ribonuclease Protection Assay by Christopher Rosenau, Barbara Kaboord, M. Walid Qoronfleh

“…The ribonuclease protection assay (RPA) is a widely used method for the detection and quantification of specific mRNA transcripts in a complex mixture of total RNA or mRNA molecules. …”
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Needle‐Plug/Piston‐Based Modular Mesoscopic Design Paradigm Coupled With Microfluidic Device for Point‐of‐Care Pooled Testing by Baobao Lin, Bao Li, Wu Zeng, Yulan Zhao, Huiping Li, Yin Gu, Peng Liu

“…Using this approach, an ultra‐sensitive nucleic acid detection system is developed with a limit of detection of ten copies of SARS‐CoV‐2 per mL. …”
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Image-Based Breast Cancer Histopathology Classification and Diagnosis Using Deep Learning Approaches by Lama A. Aldakhil, Haifa F. Alhasson, Shuaa S. Alharbi, Rehan Ullah Khan, Ali Mustafa Qamar

“…This survey article explores the complexities inherent in multiclass classification for breast cancer diagnosis, aiming to improve patient care, efficiency, and timeliness. …”
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Research on Intelligent Diagnosis of Corrosion in the Operation and Maintenance Stage of Steel Structure Engineering Based on U-Net Attention by Zhen Duan, Xinghong Huang, Jia Hou, Wei Chen, Lixiong Cai

“…Intelligent corrosion diagnosis plays a crucial role in enhancing the efficiency of operation and maintenance for steel structures. …”
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A framework for assessing reliability of observer annotations of aerial wildlife imagery, with insights for deep learning applications. by Rowan L Converse, Christopher D Lippitt, Steven E Sesnie, Grant M Harris, Matthew J Butler, David R Stewart

“…There is growing interest in using deep learning models to automate wildlife detection in aerial imaging surveys to increase efficiency, but human-generated annotations remain necessary for model training. …”
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RACF: A Multimodal Deep Learning Framework for Parkinson’s Disease Diagnosis Using SNP and MRI Data by Jiangbo Cao, Xiaojing Long

“…In contrast to traditional methods, deep learning models are capable of processing large-scale, high-dimensional, and complex datasets to automatically learn latent feature relationships, making them particularly suitable for scenarios involving multimodal data fusion. …”
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Symmetric anion exchange membranes enhance arsenic removal and overcome conductivity limitations in FCDI systems by Siyao Zhang, Purui Wang, Wenchao Xue, Wanni Zhang, Fangyuan Liu, Chaoge Yang, Hanlong Liu, Yang Zhang, Zimeng Zhang, Chunpeng Zhang

“…Relative to conventional designs, the symmetric-AEM configuration demonstrated an approximate 19.4% enhancement in arsenic removal efficiency. For influent streams with initial arsenic concentrations of 1000 μg·L⁻¹, effluent concentrations were diminished below the analytical detection limit (0.02 μg·L⁻¹) employing a two-stage sequential process. …”
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