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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Skin Hydration Monitoring Using a Microwave Sensor: Design, Fabrication, and In Vivo Analysis by Shabbir Chowdhury, Amir Ebrahimi, Kamran Ghorbani, Francisco Tovar-Lopez

“…This advancement holds significant potential for skincare and biomedical applications, enabling detection without complex signal processing.…”
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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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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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Speckle Noise Removal in OCT Images via Wavelet Transform and DnCNN by Fangfang Li, Qizhou Wu, Bei Jia, Zhicheng Yang

“…The quality of OCT images is a crucial factor influencing diagnostic effectiveness, highlighting the importance of OCT image denoising. (2) Methods: The OCT image undergoes a Discrete Wavelet Transform (DWT) to decompose it into multiple scales, isolating high-frequency wavelet coefficients that encapsulate fine texture details. These high-frequency coefficients are further processed using a Shift-Invariant Wavelet Transform (SWT) to generate an additional set of coefficients, ensuring an enhanced feature preservation and reduced artifacts. …”
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TrainNet for locking state recognition of side door of railway freight car by Ning Xing, Cai Kangcheng, Zhou Shumin, Lan Xiangui, Lai Yihui

“…Current approaches that focus on existing object recognition methods lead to high false detection and miss rates. This paper introduces TrainNet for efficient locking state detection for Open-top wagon doors. …”
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Process for Simultaneous Removal of S₈, DBDS, and PCBs From Mineral Insulating Oils by Dejan M. Kolarski, Jelena M. Lukic, Jelena U. Jankovic, Sandra B. Glisic, Aleksandar M. Orlovic

“…The integration of S8 removal process with the KOH/PEG complex enables the simultaneous removal of S8, DBDS, and PCBs, with no residual metal particles detected in the oil following the treatment. …”
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Determining Novice and Expert Status in Human–Automation Interaction Through Hidden Markov Models by Anne French, Mary L. Cummings, Haibei Zhu, Miroslav Pajic

“…Training operators for complex systems demand substantial time and resources, necessitated by safety considerations and the expansive scale of these systems. …”
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UNION: A Trust Model Distinguishing Intentional and Unintentional Misbehavior in Inter-UAV Communication by Ezedin Barka, Chaker Abdelaziz Kerrache, Nasreddine Lagraa, Abderrahmane Lakas, Carlos T. Calafate, Juan-Carlos Cano

“…Simulations conducted using NS2.35 evidence the efficiency of our proposal, called UNION, at ensuring high detection ratios > 87% and high accuracy with reduced end-to-end delay, clearly outperforming previous proposals known as RPM, T-CLAIDS, and CATrust.…”
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Optimized fiducial marker placement using B‐spline surface modeling and graph theory for Cyberknife stereotactic body radiotherapy for superficial tumors by Jing Huang, Xianlong Xiong, Cheng Chen, Yuhan Li, Ruijie Wang, Zhitao Dai

“…To enhance the computational efficiency, a kd‐tree spatial indexing structure was integrated with graph theory, specifically the Bron–Kerbosch algorithm for maximal clique detection. …”
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Dynamic Positioning and Optimization of Magnetic Target Based on Binocular Vision by Jing Li, Yang Wang, Ligang Qu, Guangming Lv, Zhenyu Cao

“…The experimental results on the C-Track optical tracking platform show that the optimized magnetic target layout reduces the rotation error of the dynamic scanning from 0.055° to 0.035°, the translation error from 0.31 mm to 0.162 mm, and the scanning efficiency is increased by 33%, which significantly improves the positioning accuracy and tracking stability of the system under complex working conditions. …”
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An Elite Wolf Pack Algorithm Based on the Probability Threshold for a Multi-UAV Cooperative Reconnaissance Mission by Hanrui Zhang, Xiao Lv, Chao Ma, Liangzhong Cui

“…To address the above challenges, this paper presents a multi-UAV task assignment model under complex conditions (MTAMCC). To efficiently solve this model, this paper proposes an elite wolf pack algorithm based on probability threshold (EWPA-PT). …”
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Revolutionizing Sperm Analysis with AI: A Review of Computer-Aided Sperm Analysis Systems by Francisco J. Baldán, Diego García-Gil, Carlos Fernandez-Basso

“…Overall, this review outlines current innovations and future research directions essential for advancing personalized, efficient, and accessible fertility care.…”
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FIRM image analysis: A machine learning workflow for quantifying extracellular matrix components from electron microscopy images. by Nicholas T Gigliotti, Justin Lee, Emily H Mang, Giancarlo R Zambrano, Mitra L Taheri

“…The extracellular matrix (ECM) is a complex network of biomolecules that plays an integral role in the structure, processes, and signaling mechanisms of cells and tissues. …”
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A lightweight certificateless aggregate signature scheme without pairing for VANETs by Qiuling Yue, Weijian Jiang, Hong Lei

“…Abstract In the secure vehicular ad-hoc networks (VANETs), certificateless aggregate signature schemes(CLAS) have attracted more and more attention because they can efficiently implement message aggregation and authentication without complex certificate management. …”
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Leveraging Neural Trojan Side-Channels for Output Exfiltration by Vincent Meyers, Michael Hefenbrock, Dennis Gnad, Mehdi Tahoori

“…To achieve low latency and high efficiency, field-programmable gate arrays (FPGAs) are increasingly being employed as accelerators for neural network inference in cloud and edge devices. …”
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