Pointwise prediction of protein diffusive properties using machine learning by Rasched Haidari, Achillefs N Kapanidis

“…Prior work in this field primarily focuses on traditional methods, such as mean square displacements, for calculation of protein diffusion coefficients and biological states. This proves difficult and error-prone for proteins undergoing heterogeneous behaviour, particularly in complex environments, limiting the exploration of new biological behaviours. …”
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Convolutional block attention gate-based Unet framework for microaneurysm segmentation using retinal fundus images by C. B. Vanaja, P. Prakasam

“…However, because of the complex background and varied lighting factors, it is challenging to recognize microaneurysms in fundus images automatically. …”
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A Study on the Extraction of Satellite Image Information for Two Types of Coastal Fishery Facility Fish Cages and Rafts Influenced by Clouds and Vessels by Ao Chen, Jialu Yu, Junbo Zhang, Gangyi Yu, Rong Wan

“…It is applicable to satellite image classification tasks in complex environments, including influence of clouds and vessels. …”
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Assessment of the applicability of multi-satellite precipitation products on the Loess Plateau over the past four decades by Rui Liu, Liu Yang, Zhengguo Shi, Mengdao Xing

“…The findings indicate that the CPC is the most suitable product for inverting daily precipitation on the LP, with the highest correlation coefficient of 0.774 between CPC and observations, and the highest Probability of Detection of 0.667. …”
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Multi-Mode Coupling Enabled Broadband Coverage for Terahertz Biosensing Applications by Dongyu Hu, Mengya Pan, Yanpeng Shi, Yifei Zhang

“…Conventional quasi-bound states in the continuum (QBIC) metasurfaces achieve high quality factor (Q) but suffer from narrow bandwidth, while angle-scanning strategies for broadband detection require complex large-angle illumination. …”
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Real defect partial discharge identification method for power cables joints based on integrated PJS-M and GA-SVM algorithm with multi-source fusion by Ling-Xuan Zhang, Yi-Yang Zhou, Shen-Jiong Yao, Jia-Luo Chai, Ying-Jing Chen, Zhou-Sheng Zhang

“…These results demonstrate that the proposed method significantly improves the accuracy of identifying complex real-type defects in 10 kV cable intermediate joints under multi-source feature conditions, providing a reliable diagnostic basis and technical reference for partial discharge detection in industrial applications.…”
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Image quality evaluation of imaging skins, a novel stretchable X-ray detector for intraoperative tumour imaging by Solène Dietsch, Harry Allan, Lukas Lindenroth, Robert Moss, Agostino Stilli, Danail Stoyanov

“…In addition, we examined how the stretching capabilities of these detectors influenced the image quality. Our imaging detection stack demonstrated consistent linearity across various fabrication parameters with the coefficient of determination ( $$R^2$$ ) more than 0.99998, showing that the silicone elastomer does not affect the conversion of the X-ray into light. …”
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Clinical validation of AI assisted animal ultrasound models for diagnosis of early liver trauma by Qing Song, Xuelei He, Yanjie Wang, Hanjing Gao, Li Tan, Jun Ma, Linli Kang, Peng Han, Yukun Luo, Kun Wang

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A High-Precision Temperature Compensation Method for TMR Weak Current Sensors Based on FPGA by Jie Wu, Ke Zhou, Qingren Jin, Baihua Lu, Zhenhu Jin, Jiamin Chen

“…After compensation, the sensor’s measurement accuracy in complex temperature environments is substantially improved, enabling effective weak current detection in smart grids across diverse environments.…”
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A multi-rule index to extract brine shrimp from satellite imagery: a case study in Ebinur Lake, China by Jingchen He, Zhenyu Tan, Junli Li, Bo Jiang, Hongtao Duan

“…To overcome these issues, we developed a novel multi-rule extraction model based on Landsat data, leveraging the distinct short-wave infrared signatures of brine shrimp to enhance detection accuracy. We evaluated and validated this method using Landsat 8 and Sentinel-2 datasets, achieving a classification accuracy of 94.5% and a kappa coefficient of 0.88, surpassing existing methods. …”
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SegAN for Recognition of Caries From 2D-Panoramic X-Ray Images by Parvathaneni Naga Srinivasu, Gorli L. Aruna Kumari, D. Jaya Kumari, Paolo Barsocchi, Akash Kumar Bhoi

“…SegAN demonstrated superior performance compared to traditional segmentation approaches, achieving an accuracy of 98.5%, and a dice coefficient of 0.936 in caries detection.…”
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Natural language processing reveals network structure of pain communication in social media using discrete mathematical analysis by Nobuo Okui, Shigeo Horie

“…The constructed network, comprising 5,630 nodes and 86,972 edges, revealed complex patterns of pain-related language use. The network exhibited a sparse overall density (0.0055) but a high clustering coefficient (0.7700), indicating the presence of distinct thematic communities. …”
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Research on fault location algorithm of hybrid line based on distributed traveling wave by HU Shuncai, LI Jing, CHEN Ping, LIU Yang, ZHOU Futao, CHEN Haohao

“…When the cable hybrid transmission line fails, more complex traveling wave refraction and reflection will appear, which brings great difficulty to fault location. …”
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Comparative Study of Cell Nuclei Segmentation Based on Computational and Handcrafted Features Using Machine Learning Algorithms by Rashadul Islam Sumon, Md Ariful Islam Mozumdar, Salma Akter, Shah Muhammad Imtiyaj Uddin, Mohammad Hassan Ali Al-Onaizan, Reem Ibrahim Alkanhel, Mohammed Saleh Ali Muthanna

“…<b>Results:</b> Experimental results show that Logistic Regression based on CNN-derived features outperforms the other techniques, achieving an accuracy of 96.90%, a Dice coefficient of 74.24, and a Jaccard coefficient of 55.61. …”
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Ultra-fast [18F]florbetapir PET imaging using the uMI Panorama PET/CT system by Xueqian Yang, Meiqi Wu, Menglin Liang, Haiqiong Zhang, Bo Li, Chenhui Mao, Liling Dong, Yuan Wang, Haiqun Xing, Chao Ren, Zhenghai Huang, Qingxiang Wen, Qi Ge, Zhengqing Yu, Feng Feng, Jing Gao, Li Huo

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Comparative analysis of convolutional neural networks and transformer architectures for breast cancer histopathological image classification by Bo Yuan, Yudie Hu, Yan Liang, Yutong Zhu, Lingyu Zhang, Shimin Cai, Rui Peng, Xianbin Wang, Zheng Yang, Jinhui Hu

“…The study focuses on assessing their performance in breast cancer diagnosis using key evaluation metrics, including accuracy, specificity, recall (sensitivity), F1-score, Cohen’s Kappa coefficient, receiver operating characteristic (ROC) curve, and the area under the ROC curve (AUC).ResultsIn the binary classification task, due to its relatively low complexity, most models achieved excellent performance. …”
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Rapid Analysis of Heavy Metal Element Adsorption by SCG Based on LIBS Technology by Xie Hairui, You Libing, Fang Xiaodong, Li Leyi, Ding Haokai, Zhou Zhengqi, Zhang Guanyang, Zhang Dongjian

“…Rapid evaluation and real-time detection of adsorption materials are particularly critical in the adsorption treatment of heavy metal wastewater. …”
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FASTSeg3D: A Fast, Efficient, and Adaptive Ground Filtering Algorithm for 3D Point Clouds in Mobile Sensing Applications by Daniel Ayo Oladele, Elisha Didam Markus, Adnan M. Abu-Mahfouz

“…Background: Accurate ground segmentation in 3D point clouds is critical for robotic perception, enabling robust navigation, object detection, and environmental mapping. However, existing methods struggle with over-segmentation, under-segmentation, and computational inefficiency, particularly in dynamic or complex environments. …”
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Heat stress induces specific methylation, transcriptomic and metabolic pattern in dairy cows and their female progeny by Kathrin Halli, Tong Yin, Christian Koch, Stefan Krebs, Sven König

“…The present study provides extended insights into the complex genetic and physiological mechanisms of HS response in dam and calf groups from different generations, contributing to a deeper understanding of the interplay of prompt and time lagged HS effects between different omics-tiers.…”
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Constitutional risk factors for the development of glaucoma and cataracts in the Europioid population of Russia by V. I. Konenkov, A. V. Shevchenko, V. F. Prokofiev, A. N. Trunov, V. V. Chernykh

“…The frequency of their detection in POAG was high and characterized by the two-digit value of the odds ratio, high values of specificity (99–100%), and high diagnostic coefficient. …”
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