Features of structural and functional changes of the brain in patients with schizophrenia by S. A. Galkin, E. G. Kornetova, A. N. Kornetov, D. A. Petkun, N. A. Bokhan

“…Aim. To establish the features of structural and functional changes in the brain in patients with schizophrenia.Materials and methods. …”
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Structural features of somatic and germline retrotransposition events in humans by Päivi Nummi, Tatiana Cajuso, Tuukka Norri, Aurora Taira, Heli Kuisma, Niko Välimäki, Anna Lepistö, Laura Renkonen-Sinisalo, Selja Koskensalo, Toni T. Seppälä, Ari Ristimäki, Kyösti Tahkola, Anne Mattila, Jan Böhm, Jukka-Pekka Mecklin, Emma Siili, Annukka Pasanen, Oskari Heikinheimo, Ralf Bützow, Auli Karhu, Kathleen H. Burns, Kimmo Palin, Lauri A. Aaltonen

“…Leveraging long-read sequencing, we provide an in-depth analysis of the twin-priming phenomenon, detecting it across transposable element types that remain active in humans, including Alus. …”
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Clinicopathological features and differential diagnosis of AIDS with CMV infection by ZENG Dong, SONG Shu, YANG Yuexiang, XU Jingjing, GUO Wenjuan, ZHENG Ye, SHI Yuhan, FENG Yanling

“…Objective This study aims to explore the clinicopathologic features of patients with acquired immune deficiency syndrome (AIDS) with cytomegalovirus (CMV) infection, and to analyze the differential diagnosis with other common viral infections and non-infectious diseases. …”
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Short and Medium-Term Power Load Anomaly Detection Method Based on Convolutional Neural Network and EL-DCC by Zhipeng Li, Shaobo Liu, Yang Zhang, Zhaowei Wang, Lu Wang, Lu Huang

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Prediction and Correction of Software Defects in Message-Passing Interfaces Using a Static Analysis Tool and Machine Learning by Norah Abdullah Al-Johany, Fathy Elbouraey Eassa, Sanaa Abdullah Sharaf, Amin Y. Noaman, Asaad Ahmed

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PatchDetect: Breast Cancer Detection combining Unet-ResNet-50 and Patch Embedding LSTM by Hadj Ahmed Bouarara, kadda benyahia

“… This study presents a novel framework for breast cancer detection, combining patch embedding, feature extraction using a pre-trained Convolutional Neural Network (CNN) model (ResNet50), Long Short-Term Memory (LSTM) networks for image sequence analysis, and Fully Connected Layers for final classification. …”
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Enhancing the Prediction of Episodes of Aggression in Patients with Dementia Using Audio-Based Detection: A Multimodal Late Fusion Approach with a Meta-Classifier by Ioannis Galanakis, Rigas Filippos Soldatos, Nikitas Karanikolas, Athanasios Voulodimos, Ioannis Voyiatzis, Maria Samarakou

“…The analysis of the correlations in our multimodal approach suggests that the accuracy of the early detection models is improved, providing a novel proof of concept with the appropriate findings to advance the understanding of aggression prediction in clinical settings and offer more effective intervention tactics from caregivers.…”
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MAS-YOLO: A Lightweight Detection Algorithm for PCB Defect Detection Based on Improved YOLOv12 by Xupeng Yin, Zikai Zhao, Liguo Weng

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Ultra Wideband radar-based gait analysis for gender classification using artificial intelligence by Adil Ali Saleem, Hafeez Ur Rehman Siddiqui, Muhammad Amjad Raza, Sandra Dudley, Julio César Martínez Espinosa, Luis Alonso Dzul López, Isabel de la Torre Díez

“…A dataset comprising 163 participants was collected, and the radar signals underwent preprocessing, including clutter suppression and peak detection, to isolate meaningful gait cycles. Spectral features extracted from these cycles were transformed using a novel integration of Feedforward Artificial Neural Networks and Random Forests , enhancing discriminative power. …”
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Data-driven multi-fault detection in pipelines utilizing frequency response function and artificial neural networks by Hussein A. M. Hussein, Sharafiz B. Abdul Rahim, Faizal B. Mustapha, Prajindra S. Krishnan, Nawal Aswan B. Abdul Jalil

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Automatic Change Detection of High Resolution Remote Sensing Images Based on Level Set Evolution and Support Vector Machine Classification by YAN Ming, CAO Guo, XIA Meng

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Exploring Task-Related EEG for Cross-Subject Early Alzheimer’s Disease Susceptibility Prediction in Middle-Aged Adults Using Multitaper Spectral Analysis by Ziyang Li, Hong Wang, Jianing Song, Jiale Gong

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Experimental study and techno-economic evaluation of an active fault detection kit in the prospect of future zero energy building installations by Christos Pechlivanis, Nick Rigogiannis, Andreas Tichalas, Faidra Kotarela, Nick Papanikolaou

“…Finally, a sustainability assessment study is performed, using the Life Cycle Cost Analysis tool.…”
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Analysis of a mouse germ cell tumor model establishes pluripotency-associated miRNAs as conserved serum biomarkers for germ cell cancer detection by Amanda R. Loehr, Dennis M. Timmerman, Michelle Liu, Ad J. M. Gillis, Melia Matthews, Jordana C. Bloom, Peter K. Nicholls, David C. Page, Andrew D. Miller, Leendert H. J. Looijenga, Robert S. Weiss

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Computer Vision for Clinical Gait Analysis: A Gait Abnormality Video Dataset by Rahm Ranjan, David Ahmedt-Aristizabal, Mohammad Ali Armin, Juno Kim

“…Clinical gait analysis (CGA) using computer vision is an emerging field in artificial intelligence facing great challenges in obtaining accessible and annotated real-world data and clear task objectives. …”
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Clinical analysis of histiocytic necrotizing lymphadenitis in adults with fever of unknown origin: a retrospective study by Nana Xie, Wencong Zhang, Fangbing Tian, Jia Chen, Wenyuan Zhang, Qiurong Ruan, Jianxin Song

“…Patients and methods A total of 15 HNL patients with FUO were enrolled. The analysis encompassed clinical manifestations, laboratory parameters 18F-Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography (18F-FDG PET/CT) imaging profiles, pathological features and therapeutic responses. …”
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Research on Sarcastic Emotion Recognition Based on Multiple Feature Fusion by Si Kaihao

“…Sarcasm detection significantly enhances the performance of various natural language processing applications, such as sentiment analysis, opinion mining, and stance detection. …”
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Ensemble Classifiers and Feature-Based Methods for Structural Damage Assessment by Hossein Babajanian Bisheh, Gholamreza Ghodrati Amiri, Ehsan Darvishan

“…In this paper, a new structural damage detection framework is proposed based on vibration analysis and pattern recognition, which consists of two stages: (1) signal processing and feature extraction and (2) damage detection by combining the classification result. …”
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landmarker: A Toolkit for Anatomical Landmark Localization in 2D/3D Images by Jef Jonkers, Luc Duchateau, Glenn Van Wallendael, Sofie Van Hoecke

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An Efficient Model for Real-Time Traffic Density Analysis and Management Using Visual Graph Networks by Nikhil Nigam, Dhirendra Pratap Singh, Jaytrilok Choudhary, Surendra Solanki

“…Traffic dynamics in cities are complex, and traditional signal timing methods and simple vehicle detection cannot handle them. The paper describes a method for improving urban traffic studies using Real-time Dense Analysis and Management using Visual Graph Networks (RDAMVGN) that utilizes deep learning techniques along with Visual Graph Networks based on visualizations. …”
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