Large field-of-view event-mode camera for high-precision epithermal neutron resonance imaging by Tsviki Y. Hirsh, Alexander M. Long, Adrian S. Losko, Tim T. Jaeger, Alexander Wolfertz, Sven C. Vogel

“…We demonstrate the system’s capability for quantitatively determining isotopic distributions in various thin samples, as well as automatically reconstructing complex scenes with overlapping resonances from diverse samples. …”
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Multi-Modal Fusion and Longitudinal Analysis for Alzheimer’s Disease Classification Using Deep Learning by Shakhnoza Muksimova, Sabina Umirzakova, Jushkin Baltayev, Young Im Cho

“…<b>Background:</b> Addressing the complex diagnostic challenges of Alzheimer’s disease (AD), this study introduces FusionNet, a groundbreaking framework designed to enhance AD classification through the integration of multi-modal and longitudinal imaging data. …”
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Unsupervised Deep Clustering on Spatiotemporal Objects Extracted from 4D Point Clouds for Automatic Identification of Topographic Processes in Natural Environments by J. Wang, K. Anders

“…However, the automatic characterization and identification of these processes remain challenging due to the complex spatiotemporal data and unpredictable types of topographic processes in natural environments. …”
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RemoteHealthConnect: Innovating patient monitoring with wearable technology and custom visualization by Sasipriya Arun, Edward R. Sykes, Syed Tanbeer

“…Results The usability study revealed the system's capacity to translate complex bedside data into accessible, real-world visualizations, promoting efficient pattern recognition and anomaly detection. …”
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Harnessing Artificial Intelligence and Machine Learning for Identifying Quantitative Trait Loci (QTL) Associated with Seed Quality Traits in Crops by My Abdelmajid Kassem

“…Beyond soybean, AI/ML methods have enhanced QTL detection in wheat, lettuce, rice, and cotton, supporting trait dissection across diverse crop species. …”
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Novel Energy-Aware 3D UAV Path Planning and Collision Avoidance Using Receding Horizon and Optimization-Based Control by Gamil Ahmed, Tarek Sheltami

“…This paper introduces a novel approach for energy-efficient three-dimensional online path planning for UAV formations operating in complex environments. …”
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Colorectal cancer unmasked: A synergistic AI framework for Hyper-granular image dissection, precision segmentation, and automated diagnosis by Akella S. Narasimha Raju, K. Venkatesh, M. Rajababu, Ranjith Kumar Gatla, Shaik Jakeer Hussain, G. Satya Mohan Chowdary, T. Ganga Bhavani, Mohammed Kareemullah, Sameer Algburi, Ali Majdi, Ahmed M. Abdulhadi, Wahaj Ahmad Khan

“…The DeepLabV3 + achieved segmentation state-of-the-art for tasks of localisation with 0.88 Dice Coefficient and 0.71 Intersection over Union (IoU), ensuring sharp delineation of areas that are malignant. …”
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Decoding Depression from Different Brain Regions Using Hybrid Machine Learning Methods by Qi Sang, Chen Chen, Zeguo Shao

“…This study provides a solid foundation for developing more efficient and portable methods for detecting depression, offering new perspectives and approaches for EEG-based MDD detection, and contributing to the improvement in objectivity and precision in depression diagnosis.…”
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CLINICAL MANIFESTATIONS, IMAGING FEATURES, AND TREATMENT FOLLOW-UP OF 29 CASES WITH HEPATIC TUBERCULOSIS by Saiduo, Wei, Jichan, Xinchun, Hongye, Ning, Xiangao Jiang

“…However, the lesions' apparent diffusion coefficient values reflected high signals. The Xpert MTB/RIF test detected Mycobacterium TB complex in the liver biopsy fluid from 10 patients. …”
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Comparison between inductively coupled plasma-mass spectrometry and benchtop X-ray fluorescence performance for trace elemental exposure in rat tissues by Kolawole E. Adesina, Stefano A. Parducci, Joseph D. Brain, Ramon M. Molina, Marc Weisskopf, Aaron J. Specht

“…However, ICP-MS is often limited by its complexity, cost, and time-intensive nature. Methods: This study investigates the feasibility of benchtop X-ray fluorescence (XRF) as an efficient alternative for trace elemental analysis in rat tissues, offering comparable quantification capabilities with enhanced operational simplicity. …”
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SECONDARY OSTEOARTHRITIS IN RHEUMATOID ARTHRITIS by I. A. Starodubtseva, L. V. Vasilyeva

“…Particular emphasis is placed on current cartilage biomarkers, their diagnostic value and role in monitoring the efficiency of treatment in clinical trials. The paper provides a comparative analysis of detectable serum and urine biomarkers according to the results of the complex analysis made by the National Institutes of Health. …”
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Study on Temperature Effects and Energy Resolution of Large-size BGO-SiPM Detector by SONG Luyang1, SU Jun1, , ZHANG Liyong1, CHEN Junfeng2, LIU Fengcheng1, QIN Zhiwei1, SHENG Yaode1, JIANG Xinzhi1, CHEN Xin1, LIN Shen1, HUANG Yitong1, WANG Lin1, SHEN Yangping3, JIN Shilun4, LU Fei5

“…The design of gamma-ray detector arrays is often constrained by the use of photomultiplier tubes (PMTs), whose substantial bulkiness introduces numerous design constraints, thereby limiting improvements in key performance metrics such as detection efficiency, compactness, and granularity. …”

LI-RADS-based hepatocellular carcinoma risk mapping using contrast-enhanced MRI and self-configuring deep learning by Róbert Stollmayer, Selda Güven, Christian Marcel Heidt, Kai Schlamp, Pál Novák Kaposi, Oyunbileg von Stackelberg, Hans-Ulrich Kauczor, Miriam Klauss, Philipp Mayer

“…Median per lesion Sørensen–Dice coefficients were between 0.61–0.74/0.52–0.77/0.84 (LR-5: 0.74/0.77/0.84). …”
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Recent Advances in Black Silicon Surface Modification for Enhanced Light Trapping in Photodetectors by Abdulrahman Alsolami, Hadba Hussain, Radwan Noor, Nourah AlAdi, Nada Almalki, Abdulaziz Kurdi, Thamer Tabbakh, Adnan Zaman, Salman Alfihed, Jing Wang

“…We also explore the impact of BSi on the emerging applications in silicon (Si)-based photodetectors, showcasing their potential for pushing the boundaries of light-trapping efficiency. Throughout this review, we critically evaluate the trade-offs between fabrication complexity and performance enhancement, providing valuable insights for future development in this rapidly evolving field. …”
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Research and application of dynamic simulation method for water accumulation in goaf by Guijin BIAN

“…After the mining of the coal mining face is completed, the internal environment of the goaf formed is complex, and it is very difficult to accurately detect the range of accumulated water and calculate the amount of accumulated water. …”
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Intra- and Inter-Examiner Reliability of Kinovea for Hip Flexion Angle Measurement During Straight Leg Raise Test by Gabriel Rabanal-Rodríguez, Marcos José Navarro-Santana, Juan Antonio Valera-Calero, Ana Muñoz-Rodríguez, Elías Hernández-González, Gustavo Plaza-Manzano

“…Intra- and inter-examiner reliability were assessed using the Intraclass Correlation Coefficient (ICC), Standard Error of Measurement (SEM), and Minimal Detectable Change (MDC). …”
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Identification of Rare Multiple Core‐Mantle Boundary Reflections PmKP Up To P7KP With Deep Learning by Sheng Dong, Yulin Chen, Baolong Zhang, Sidao Ni, Xiaofei Chen, Yi Wang

“…Our approach significantly improves the efficiency of PmKP phase identification and holds the capability to detect other weak core phases, such as PKiKP.…”
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A Status Evaluation of Rock Instability in Metal Mines Based on the SPA–IAHP–PCN Model by Fang Yan, Xuan Li, Longjun Dong, Shengnan Du, Hongwei Wang, Daoyuan Sun

“…Finally, the availability and reasonability of the proposed method were verified by comparing the results obtained with the number of microseismic events detected by the sensors in a metal mine. The proposed model provides a novel approach to dynamic risk assessment in mining, offering a reliable alternative for evaluating complex safety challenges. …”
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DS Net: A Dual-Coded Segmentation Network Leveraging Large Model Prior Knowledge for Intelligent Landslide Extraction by Xiao Wang, Dongsheng Zhong, Chenghao Liu, Xiaochuan Song, Luting Xu, Yue Deng, Shaoda Li

“…An innovative Dual-Coded Segmentation Network (DS Net), which realizes dynamic alignment and deep fusion of local details and global context, image features and domain knowledge through the multi-attention mechanism of Prior Knowledge Integration (PKI) module and Cross-Feature Aggregation (CFA) module, significantly improves the landslide detection accuracy and reliability. To objectively evaluate the performance of the DS Net model, four efficient semantic segmentation models—SegFormer, SegNeXt, FeedFormer, and U-MixFormer—were selected for comparison. …”
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Special Issue on Contemporary Research Studies in Operations Research, Business Analytics, and Business Intelligence by Viswanath Kumar Ganesan, S. Vinodh, Malolan Sundararaman, M. Vimala Rani, M. Mathirajan

“…This study conducts a comparative analysis with existing methods to demonstrate the efficiency of the proposed approach. Mathematical Study of Dispersion of Nano Biosensors in an Artery with Multiple Stenosis: This work examines nano-biosensors in a diseased artery with multiple stenoses, determining the temperature, velocity of nanofluid, and transport coefficients. …”
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