Development of a Predictive Model for N-Dealkylation of Amine Contaminants Based on Machine Learning Methods by Shiyang Cheng, Qihang Zhang, Hao Min, Wenhui Jiang, Jueting Liu, Chunsheng Liu, Zehua Wang

“…Amines are widespread environmental pollutants that may pose health risks. Specifically, the N-dealkylation of amines mediated by cytochrome P450 enzymes (P450) could influence their metabolic transformation safety. …”
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Enhanced Kidney Stone Detection and Classification Using SVM and LBP Features by Hawkar K. Hama, Hamsa D. Majeed, Goran Saman Nariman

“…The Local Binary Pattern (LBP) technique, combined with the support vector machine (SVM) algorithm serves as the primary components of the proposed model. …”
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Bio inspired optimization techniques for disease detection in deep learning systems by A. Ashwini, Vanajaroselin Chirchi, S. Balasubramaniam, Mohd Asif Shah

“…In contrast to recent effective deep-learning models, these may address these issues while concurrently obtaining and capturing intricate structures inside extensive medical image datasets. …”
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Quantitative analysis of deep learning-based denoising model efficacy on optical coherence tomography images with different noise levels by Furkan Kirik, Farid Iskandarov, Kamile Melis Erturk, Hakan Ozdemir

“…Background: To quantitatively evaluate the effectiveness of the Noise2Noise (N2N) model, a deep learning (DL)-based noise reduction algorithm, on enhanced depth imaging-optical coherence tomography (EDI-OCT) images with different noise levels. …”
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Treatment tactics for acute anterior cruciate ligament ruptures by D. Yu. Pupynin, A. V. Lychagin, A. A. Gritsyuk

“…Dynamic intraligamentous stabilization, in comparison with early anterior cruciate ligament plastic, shows a more rapid recovery of the level of physical activity in the next year after surgery; and in the long-term period, in terms of the number of relapses of instability, the results are no worse, which may influence changes in the algorithm for choosing surgical treatment.…”
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Adaptive Early Wildfire Monitoring Based on Spatiotemporal Prediction and Himawari 8/9 by Zekun Xu, Zhaoming Zhang, Guojin He, Shuaizhang Zhang, Tengfei Long, Guizhou Wang

“…However, traditional approaches often rely on fixed thresholds and supervised learning techniques, which may fail to account for the complex spatiotemporal dynamics associated with forest fire events. …”
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Artificial Intelligence in Healthcare: Innovation and Impact in Medical Practice by Amelia-Maria ISAC, Corina VERNIC

“…Furthermore, federated learning and domain adaptation techniques may help address data privacy concerns and improve model robustness across diverse populations. …”
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Early prediction of colorectal adenoma risk: leveraging large-language model for clinical electronic medical record data by Xiaoyu Yang, Jinjian Xu, Hong Ji, Jun Li, Bingqing Yang, Liye Wang

“…Several classical machine learning algorithms were applied in combination with the BGE-M3 large-language model (LLM) for enhanced semantic feature extraction. …”
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Objective Functions for the Blade Shape Optimisation of a Cross-Flow Tidal Turbine under Constraints by Karla Ruiz-Hussmann, Pierre-Luc Delafin, Cyrille Bonamy, Yves Delannoy, Dominique Thévenin, Stefan Hoerner

“…However, the rotating motion around the vertical axis results in continuously varying angles of attack, causing alternating loads, which may lead to fatigue failure and structural damage. …”
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AILDP: a research on ship number recognition technology for complex scenarios by Tianjiao Wei, Zhuhua Hu, Yaochi Zhao, Xiyu Fan

“…Second, adverse weather conditions and complex sea surface environments may affect the accuracy of visual recognition. To address the above issues, we produce a private dataset containing 2436 images of ships in a variety of scenarios and propose an algorithm (AILDP) for interactive feature learning and adaptive enhancement to tackle multiple challenges in ship number recognition. …”
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Power System Reliability Assessment with Quantification of Demand Response Uncertainty Based on Advanced Sigmoid Cloud Model by Bo Hu, Yue Sun, Wei Huang, Changzheng Shao, Tao Niu, Xin Cheng, Kaigui Xie

“…Consequently, additional risk may be introduced to composite power system reliability. …”
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Development and Validation of the Promising PPAR Signaling Pathway-Based Prognostic Prediction Model in Uterine Cervical Cancer by Yan Zhang, Xing Li, Jun Zhang, Lin Mao, Zou Wen, Mingliang Cao, Xuefeng Mu

“…In addition, the single-sample gene set enrichment analysis (ssGSEA) algorithm was applied to calculate the PPAR score of patients with cervical cancer. …”
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The heterogeneous expression patterns of serum tumor markers in non-small cell lung cancer patients are predictive factors for progression-free survival by Siqi Li, Zihang Zeng, Zixi Hong, Jiali Li, Conghua Xie

“…The Self-organizing map algorithm was used to generate novel tumor marker patterns. …”
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Enhanced Superpixel-Guided ResNet Framework with Optimized Deep-Weighted Averaging-Based Feature Fusion for Lung Cancer Detection in Histopathological Images by Karthikeyan Shanmugam, Harikumar Rajaguru

“…Segmentation and feature selection enhance performance, improving diagnostic accuracy. Future work may explore further optimizations and hybrid models.…”
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Technical advantages bridging the preservation limits of painted decoration of Neolithic ceramic figurines by Ludmila Kaňáková, Vojtěch Nosek, Attila Kreiter, László Előd Aradi, Martin Košťál

“…Unfortunately, post-firing painting is usually poorly preserved due to deposition conditions. Moreover, it may have been damaged or contaminated during post-excavation and conservation processes in the past. …”
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Drone-Based Digital Phenotyping to Evaluating Relative Maturity, Stand Count, and Plant Height in Dry Beans (Phaseolus vulgaris L.) by Leonardo Volpato, Evan M. Wright, Francisco E. Gomez

“…The choice between PC and DSM source data may depend on specific environmental and flight conditions. …”
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Efficacy of extracorporeal shock wave lithotripsy for post-transplant kidney stones. Hope or Disappointment? by S. V. Popov, R. G. Huseynov, I. A. Miloserdov, Yu. V. Kisil, D. A. Saydulaev, S. V. Sadovnikov, K. V. Sivak, N. S. Bunenkov, V. V. Perepelitsa, T. A. Lelyavina

“…The presence of renal calculi may not manifest clinically for a long time due to the peculiarities of the surgical intervention during organ transplantation. …”
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Back pain: from pathophysiological mechanisms and clinical features to modern approaches to therapy by N. V. Titova, Yu. N. Bezdolny, A. A. Slipko

“…Signs of inflammatory pain may be detected in patients with nonspecific low back pain due to the development of osteoarthritis in facet joints, sacroiliac joints, as well as vertebral osteitis. …”
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Identification and validation of aging related genes in osteoarthritis by Jian Du, Jian Du, Tian Zhou, Yanghui Dong, Yunchao Sun, Wei Peng

“…Subsequently, LASSO and RF algorithms identified ATF3, KLF4, NFKBIA, and SOD2 as key genes. …”
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BIM-Based Automatic Extraction of Daily Concrete and Formwork Requirements for Site Work Planning by Van-Hoan Pham, Po-Han Chen, Quan Nguyen, Diep-Thuy Duong

“…However, if those inbuilt QTO solutions are object-based, then the quantities of works extracted may not meet the requirements of the users in selected cases, e.g., in zone-based construction projects. …”
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