Research on Change Information Retrieval Method for Energy Infrastructure Based on Optical Remote Sensing Images by Zhibao Wang, Ying Yuan, Man Zhao, Dan Zhou, Lu Bai, Jinhua Tao, Anna Jurek-Loughrey

“…A deep hashing technique is applied to the extracted features, optimizing retrieval accuracy via contrastive loss. …”
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Clinical features of fatigue in amyotrophic lateral sclerosis by E. V. Pervushina, M. A. Kutlubaev

“…The independent predictors of the severity of fatigue were calculated using linear regression analysis.Results. Fatigue was detected in 27 (64 %) patients. …”
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Features of the intestinal microbiota in children with intestinal parasitosis by O. V. Kovaleva, L. A. Lityaeva

“…The aim of the research is to study the features of the intestinal microbiota in children with parasitic invasions.Clinical and microbiological examination of 40 children aged from 9 months to 1 0 years with functional disorders of the intestine was carried out, in 20 of whom intestinal parasitoses were detected (15 of them — ascariasis, 5 — intestinal lambliosis) — the main group. …”
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FEATURES OF OTOGENIC INTRACRANIAL COMPLICATIONS AT THE PRESENT STAGE by A. A. Krivopalov, Yu. K. Yanov, S. V. Astashchenko, A. Yu. Shcherbuk, S. A. Artyushkin, S. G. Vakhrushev, I. S. Piskunov, V. S. Piskunov, N. A. Tuzikov

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Features of infective endocarditis in injection drug users by I. V. Demko, L. I. Pelinovskaya, M. V. Mankhayeva, O. P. Ishchenko, V. A. Mosina, A. Yu. Kraposhina, E. E. Ivanitskaya

“…An association of infective endocarditis with HIV infection (72,5%) and hepatitis C was detected in 97,5% of patients.Conclusion. Knowing of the infective endocarditis features in drug addicts makes it possible to improve the approaches to the diagnostics in earlier periods of its progression and thus makes the treatment of these patients more promising.…”
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Automatic GPR detection of grouting defects behind the tunnel shield segments based on wavelet coherence analysis combined with modified Res-RCNN by Dengyi Wang, Ming Peng, Liu Liu, Xiongyao Xie, Zhenming Shi, Yaoying Liang, Jian Shen, Qiyu Wu

“…Then, a modified Res-RCNN is applied to automatically extract the defect features from the wavelet coherence images. Finally, the post-processing and visualization automatically give an intuitive clear feature map that shows the location and probability of the grouting defects along the tunnel. …”
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Epidemiological and clinical characteristics of bacterial co-detection in respiratory syncytial virus-positive children in Wenzhou, China, 2021 to 2023 by Xiaoxiao Qu, Xuanmei Ye, Jian Yu, Feifei Zheng, Yatian Tang, Fangling Yuan, Qipeng Xie

“…Predictive features were selected via the Boruta algorithm and modeled using XGBoost, with SHAP applied for interpretability. …”
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Neurophysiologic features in glutaric aciduria type I by Dilek Yalnizoğlu, Neriman Sari, Güzide Turanli, Turgay Coşkun, Meral Topçu

“…This finding probably indicates underlying cerebral dysfunction, and is not a specific feature. However, it suggests that these patients may develop abnormal EEG features during the course of the disease, and thus a baseline EEG may be useful for comparison over time. …”
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Features of the microelement status in children with acute urticaria by G. E. Yalovega, A. A. Lebedenko, S. V. Mal’tsev, T. S. Kalmykova, L. A. Averkina, A. N. Posevina, A. O. Funik, O. E. Semernik, V. M. Novikovsky, E. V. Morgul’

“…Objective: Our aim was to study the features of the microelement status in children with acute urticaria.Methods: A comparative study included patients with acute urticaria of varying severity and healthy children (I and IIA groups of health). …”
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Uncovering abnormal gray and white matter connectivity patterns in Alzheimer’s disease spectrum: a dynamic graph theory analysis for early detection by Juanjuan Jiang, Tao Kang, Ronghua Ling, Yingqian Liu, Jiuai Sun, Yiming Li, Xiaoou Li, Hui Yang, Bingcang Huang, the Alzheimer’s Disease Neuroimaging Initiative

“…Traditional static brain network analyses lack sensitivity to detect early functional disruptions in SMC. This study aimed to improve preclinical AD stratification by integrating dynamic gray-white matter functional connectivity (DFC) and machine learning.MethodsUsing multi-cohort ADNI data [N = 1,415 participants across cognitive normal[CN], SMC, and cognitive impairment [CI]groups],dynamic functional networks were constructed via sliding-window analysis (20–50 TR windows, 98% overlap) of 200 gray matter (Schaefer atlas) and 128 data-driven white matter nodes. …”
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Pathomorphological features of inflammatory infiltrate in colorectal cancer by S. I. Tertyshnyi, O. H. Chucha

“…Aim: to investigate the pathomorphological features and severity of inflammatory infiltration in colorectal cancers. …”
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COVID-19 biobank: features of the cytokine profile by N. N. Sushentseva, O. S. Popov, S. V. Apalko, A. Yu. Anisenkova, S. V. Azarenko, K. V. Smantserev, D. N. Khobotnikov, T. V. Gladysheva, E. V. Minina, S. V. Strelyukhina, S. P. Urazov, D. Pavlovich, S. R. Fridman, S. G. Shcherbak

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Towards precision agriculture tea leaf disease detection using CNNs and image processing by Irfan Sadiq Rahat, Hritwik Ghosh, Suresh Dara, Shashi Kant

“…The GlobalAveragePooling2D layer towards the model’s end succinctly summarizes the extracted features, preparing the model for the final classification stage. …”
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DETECTION OF NON-MELANOMA SKIN CANCER BY DEEP CONVOLUTIONAL NEURAL NETWORK AND STOCHASTIC GRADIENT DESCENT OPTIMIZATION ALGORITHM by Premananda Sahu, Srikanta Kumar Mohapatra, Prakash Kumar Sarang, Jayashree Mohanty, Pradeepta Kumar Sarangi

“…Furthermore, we used HAM 10000 as the data set for training and testing purposes, as well as the feature extraction technique Principal Component Analysis. …”
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Security Enhancement in AAV Swarms: A Case Study Using Federated Learning and SHAP Analysis by Sushmitha Halli Sudhakara, Lida Haghnegahdar

“…This research proposes a machine learning (ML) based security mechanism, leveraging federated learning and FedAvg for weight averaging, combined with SHAP analysis to identify key contributing features. This AI-based system requires less human intervention and is more effective in detecting novel attacks than traditional intrusion detection systems (IDS). …”
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A Hybrid Network Analysis and Machine Learning Model for Enhanced Financial Distress Prediction by Saba Taheri Kadkhoda, Babak Amiri

“…The first network reflects similarity across five features, while the second captures correlation in the most critical feature. …”
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Detection of Phosphorus in Water by Laser-Induced Breakdown Spectroscopy Based on Liquid-Solid Transformation of Graphite Substrate Combined with PLS-SVR Fusion Quantitative Analys... by Huijie Zhang, Yao Chen, Zongjie Bi, Xiaohua Che, Zhaoshuo Tian

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Protocol for detection and monitoring of post-stroke cognitive impairment through AI-powered speech analysis: a mixed methods pilot study by Ravi Shankar, Effie Chew, Effie Chew, Effie Chew, Anjali Bundele, Anjali Bundele, Amartya Mukhopadhyay, Amartya Mukhopadhyay

“…Linear mixed-effects models will characterize trajectories of MoCA scores and speech features over time. Qualitative analysis will follow an inductive thematic approach to explore acceptability and usability of speech-based screening.DiscussionThis study represents a critical step toward developing speech-based digital biomarkers for PSCI detection that are sensitive, culturally appropriate, and clinically feasible. …”
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Multimodal framework for phishing attack detection and mitigation through behavior analysis using EM-BERT and SPCA-BASED EAI-SC-LSTM by Mahmoud Murhej, G. Nallasivan

“…Then, by utilizing Spherical Principal Component Analysis (SPCA), the features are extracted. Further, the optimal features are chosen by using the Cauchy distribution-based Seagull Optimization Algorithm (CSOA). …”
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Empirical Evaluation and Analysis of YOLO Models in Smart Transportation by Lan Anh Nguyen, Manh Dat Tran, Yongseok Son

“…You Only Look Once (YOLO) and its variants have emerged as the most popular real-time object detection algorithms. They have been widely used in real-time smart transportation applications due to their low-latency detection and high accuracy. …”
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