Plasma lipidomic analysis reveals disruption of ether phosphatidylcholine biosynthesis and facilitates early detection of hepatitis B-related hepatocellular carcinoma by Yuyao Yuan, Donghao Yin, Xuemeng Yang, Di Liu, Hui Shan, Juan Luo, Xiuhui Li, Yuxin Yin

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Proximal spinal muscular atrophy types I-IV: Specific features of molecular genetic diagnosis by V. V. Zabnenkova, E. L. Dadali, A. V. Polyakov

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LINGUISTIC FEATURES OF THE MEMOIR GENRE WORK "MEMOIRES ET DICTEES" ("MEMOIRS AND NOTES") BY G. SIMENON by N. Dyumon

“…The article focuses on the problem of identification and analysis of specific features of the idiostyle of Georges Simenon's memoirs "Memoires et dictees ("Memoirs and Notes") from the viewpoint of modern linguistics of the text and complex stylistic interpretation of the character of memoirs on the material of the French language. …”
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Dual stream graph augmented transformer model integrating BERT and GNNs for context aware fake news detection by Hejamadi Rama Moorthy, N. J. Avinash, N. S. Krishnaraj Rao, K. R. Raghunandan, Radhakrishna Dodmane, Jeremy Joseph Blum, Lubna A Gabralla

“…The objective is to enhance fake news detection by leveraging both linguistic and network-based features. …”
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Early Detection of Congenital Heart Diseases among Infants Using Artificial Neural Network Algorithm by Lucy Ifeyinwa Ezigbo, Anthony Kwubeghari, Francis Okoye

“…The data model was processed through imputation, feature selection, and transformation using the imputation method and Principal Component Analysis (PCA). …”
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Integrating pyramid vision transformer and topological data analysis for brain tumor by Dhananjay Joshi, Bhupesh Kumar Singh, Kapil Kumar Nagwanshi, Nitin S. Choubey

“…We present a novel approach combining a Pyramid Vision Transformer (PVT) with an adaptive deformable attention mechanism and Topological Data Analysis (TDA) to address the complexities of BT detection. …”
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A fine-grained human facial key feature extraction and fusion method for emotion recognition by Shiwei Li, Jisen Wang, Linbo Tian, Jianqiang Wang, Yan Huang

“…Additionally, the comparative analysis shows that emotional features across different faces show similarities. …”
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An Analysis of Arterial Pulse Wave Time Features and Pulse Wave Velocity Calculations Based on Radial Electrical Bioimpedance Waveforms in Patients Scheduled for Coronary Catheteri... by Kristina Lotamõis, Tiina Uuetoa, Andrei Krivošei, Paul Annus, Margus Metshein, Marek Rist, Sulev Margus, Mart Min, Gert Tamberg

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MACHINE LEARNING TECHNIQUES FOR RETINOPATHY DETECTION IN DIABETIC PATIENTS by Ajay Kushwaha, Ahankari Sachin Suresh, Chennoju Phanindra, Anil Kumar Sahu, Devanand Bhonsle, Yamini Chouhan

“…In this paper, we explore the development and application of an automated image analysis technique for detecting retinopathies in diabetic patients. …”
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Network-based machine learning reveals cardiometabolic multimorbidity patterns and modifiable lifestyle factors: a community-focused analysis of NHANES 2015–2018 by Danhui Mao, Junfang Mu, Yajing Li, Lu He, Qianhui Chai, Xin Zhao, Xiaojun Ren, Hui Cheng

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Analysis and prediction of land use changes: the case study of coastal areas of Gilan province by Sahar Abdollahi, Hashem Dadashpoor

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Automatic model of sleep apnea detection using optimized weighted fusion process of hybrid convolution (1D/2D) efficient attention network from EEG signals by R. Nandakumar, Rajesh Arunachalam, R Pugalenthi, Karthikayen Arunachalam

“…However, PSG generates extensive data, making manual analysis labor-intensive and inefficient. Methods In this work, a hybrid deep learning framework for automated SA detection combines advanced feature extraction and efficient classification techniques. …”
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Acoustic signatures of bulbar ALS: Predictive modeling with sustained vowels and LightGBM by Zahra Farrokhi, Seyed Amirali Zakavi, Arian Sarafraz, Maryam Valifard, Salar Yousefzadeh, Zahra Mashhadi Tafreshi, Omid Anbiyaee, Navid Rostami, Mahsa Asadi Anar, Niloofar Deravi

“…Background: Amyotrophic Lateral Sclerosis (ALS) is a degenerative neurologic disease with no definitive biomarkers for early detection. This paper discusses the use of acoustic analysis of sustained vowel phonations (SVP) and machine learning in ALS detection. …”
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Enhanced mastitis severity classification in dairy cows using DNN and RF: A study on PCA and correlation-based feature selection by Manar Lashin, Ayman Samir Farid, Abdullah T. Elgammal

“…Both Deep Neural Networks (DNN) and Random Forests (RF) were utilized, with dimensionality reduction applied through Principal Component Analysis (PCA) and correlation-based feature selection to retain essential features and enhance computational efficiency. …”
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Analysis of clinical and genetic features in an adolescent patient with primary ciliary dyskinesia induced by homozygous mutation in the RSPH4A gene: a case report by Wanting Xu, Wanting Xu, Wanting Xu, Wanting Xu, Yan Yang, Yan Yang, Yan Yang, Lan Kang, Lan Kang, Ling Guo, Jing Liu, Yan Zeng, Lei Li, Ai Chen, Rong Zhang, Rong Zhang, Wenbin Dong, Wenbin Dong, Wenbin Dong

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Automated Detection of the Kyphosis Angle Using a Deep Learning Approach: A Cross-Sectional Study on Young Adults by Onur Kocak, Cansel Ficici, Ilknur Ezgi Dogan, Ziya Telatar, Nihan Ozunlu Pekyavas

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Multi-model machine learning framework for lung cancer risk prediction: A comparative analysis of nine classifiers with hybrid and ensemble approaches using behavioral and hematolo... by Vinod Kumar, Chander prabha, Deepali Gupta, Sapna Juneja, Swati Kumari, Ali Nauman

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Advancing Hate Speech Detection in Indonesian Language Using Graph Neural Networks and TF-IDF by Syaikha Amirah Zikrina, Fitriyani

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Bi-directional Pre-trained Network for Single-station Seismic Waveform Analysis by Yuqi CAI, Ziye YU, Weitao WANG, Yanru AN, Lu LI

“…It not only performs routine tasks such as Pg, Sg, Pn and Sn phase detection, P-wave first-motion direction determination, and event type classification but can also be adapted to other seismic waveform data analysis tasks through transfer learning.…”
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A scoping review of the use of artificial intelligence models in automated OCT analysis and prediction of treatment outcomes in diabetic macular oedema by Mohaimen Al-Zubaidy, Agnieszka Stankiewicz, Matthew Anderson, Jordan Reed, Veronica Corona, Rebecca Pope, Boguslaw Obara, Maged S. Habib, David H. Steel

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