SYNOVIAL MEMBRANE CHANGES IN PATIENTS WITH RHEUMATOID ARTHRITIS REVEALED DURING ARTHROSCOPY by E. B. Komarova

“…Exudative or proliferative processes accompanied by joint destruction may predominate in the synovial membrane (SM) in different stages of rheumatoid arthritis (RA). The features of SM changes should be considered in the early diagnosis of RA and in the development of combination treatment for this disease.Objective: to study arthroscopic SM changes in patients with different RA durations and different blood anti-cyclic citrullinated peptide (anti-CCP) antibody levels.Subjects and methods. 37 patients with RA underwent arthroscopy with an arthroscope of a 2.4-mm diameter and 30° angle (Karl Storz GmbH, Germany). …”
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Sentences, entities, and keyphrases extraction from consumer health forums using multi-task learning by Tsaqif Naufal, Rahmad Mahendra, Alfan Farizki Wicaksono

“…Despite varying loss weights across our three-way MTL models, we did not identify a consistent pattern. While some configurations improved MER and KE performance, none surpassed the best pairwise MTL model for the SR task. …”
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Analisis Sentimen Aplikasi Playstore Sirekap 2024 Pasca Pilpres Dengan Perbandingan Metode Support Vector Machine (SVM), Naïve Bayes Classifier Dan Random Forest. by Dede Ardian TARIGAN

“…The technical stages used in this research include data scraping, data pre-processing, pattern labeling, feature extraction/weighting, data splitting, and the sentiment analysis classification process. …”
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Identification of genes related to fatty acid metabolism in type 2 diabetes mellitus by Ji Yang, Yikun Zhou, Jiarui Zhang, Yongqin Zheng, Jundong He

“…Immune cells, including dendritic cells, eosinophils, and neutrophils, may play a role in the progression of T2DM. ceRNA and drug-target network analysis revealed potential interactions, such as RP11-miR-29a-YTHDF3 and BPA-MSANTD1. The expression patterns of the feature genes, except for YTHDF3, were consistently upregulated in T2DM, aligning with trends observed in the training set. …”
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A Comparative Study of Lesion-Centered and Severity-Based Approaches to Diabetic Retinopathy Classification: Improving Interpretability and Performance by Gang-Min Park, Ji-Hoon Moon, Ho-Gil Jung

“…Transfer learning from NMC to APTOS notably improved severity classification, achieving performance gains of 15.2% in mild cases and 66.3% in severe cases through feature fusion using Bidirectional Feature Pyramid Network (BiFPN) and Feature Pyramid Network (FPN). …”
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Visual design element recognition of garment based on multi-view image fusion by Meng Fanyu

“…This clothing style recognition aids in predicting clothes' features and patterns, which aids in classifying them using efficient feature extraction and classification models such as Convolutional Neural Network (CNN). …”
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NEW STYLE OF THE CULTURAL HERITAGE by N. M. Mamedova

“…It is caused by deep-seated patterns of culture itself, increased integration in all spheres of society. …”
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A differential requirement for ciliary transition zone proteins in human and mouse neural progenitor fate specification by Antonia Wiegering, Isabelle Anselme, Ludovica Brunetti, Laura Metayer-Derout, Damelys Calderon, Sophie Thomas, Stéphane Nedelec, Alexis Eschstruth, Valentina Serpieri, Martin Catala, Christophe Antoniewski, Sylvie Schneider-Maunoury, Aline Stedman

“…Here, we use pluripotent stem cell-derived spinal organoids to reveal distinct functions of the ciliopathy gene RPGRIP1L in humans and mice, and uncover an unexplored role for cilia in human axial patterning. Previous research has emphasized Rpgrip1l critical functions in mouse brain and spinal cord development through the regulation of SHH/GLI pathway. …”
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The Concept of Sustainable Mobility in Modern Megacities by D. V. Zavyalov

“…The most urgent is to redesign the existing mobility patterns to achieve the environmental goals, the higher quality of life of city residents, the engagement of different stakeholders in sustainable mobility development.…”
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A kinematic analysis of extratropical cyclones, warm conveyor belts and atmospheric rivers by Helen F. Dacre, Peter A. Clark

“…Our analysis demonstrates that, despite varying methods, definitions, and terminology used to describe extratropical cyclones, warm conveyor belt airflows, and atmospheric rivers, the underlying mechanisms driving their formation and development are consistent. Thus, while studying these features independently is valuable, it is important to recognise that they are all part of a larger atmospheric flow pattern. …”
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Human Action Recognition Method Based on Multi-channel Fusion by Zhiyong TAO, Xijun GUO, Xiaokui REN, Ying LIU, Zemin WANG

“…A temporal convolution network captures temporal dependencies within the extracted action features, distinguishing between actions with similar spatial characteristics but distinct temporal patterns. …”
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The Use of 3D Convolutional Autoencoder in Fault and Fracture Network Characterization by Feng Xu, Zhiyong Li, Bo Wen, Youhui Huang, Yaojun Wang

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Modeling the inside defect of the jet cavitator by A. I. Ukolov, V. P. Rodionov

“…Materials and Methods. The features of the ANSYS Workbench finite-element analysis software package and the integrated optimization module of the development and design process in the domain of the computational fluid dynamics ANSYS CFX are used. …”
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A comparative evaluation of dermatoglyphics in different classes of malocclusion by Garima Jindal, Ramesh Kumar Pandey, Sameer Gupta, Meera Sandhu

“…Dermatoglyphic parameters were examined and asymmetry analysis was conducted in subjects with different occlusion patterns. Results: Although no fingerprint pattern was found to be specific for a particular class of occlusion, increased tendencies toward high frequencies of whorls in subjects with class II malocclusion and plain arches in those with class III malocclusion were observed. …”
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GNNSeq: A Sequence-Based Graph Neural Network for Predicting Protein–Ligand Binding Affinity by Somanath Dandibhotla, Madhav Samudrala, Arjun Kaneriya, Sivanesan Dakshanamurthy

“…While existing sequence-based machine learning models for binding affinity prediction have shown potential, they lack accuracy and robustness in pattern recognition, which limits their generalizability across diverse and novel binding complexes. …”
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Deep learning driven prediction and comparative study of surrounding rock deformation in high speed railway tunnels by Zeping Yang, Zhikai Cheng, Da Wu

“…Using 300-hour continuous deformation records from multiple cross-sections of the G Tunnel (March 2023), a novel WOA-CNN-GRU model is developed, integrating data preprocessing, feature extraction, and prediction. …”
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Simulation of multicentric destruction with regard for inhomogeneous distribution of rated voltage by Vitaly F. Lukyanov, Semen S. Assaulenko

“…As a result, the fatigue flaking along the weld lacks any regular pattern. Under the cyclic loading, the development of the destruction is a sequential process of the crack nucleation in different parts of welded joints along the weld, single surface cracks growth under the fracture mechanics laws, nucleation of new cracks, and crack coalescence in the adjoining sections. …”
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Assistive Devices Analysis for Visually Impaired Persons: A Review on Taxonomy by Sadia Zafar, Muhammad Asif, Maaz Bin Ahmad, Taher M. Ghazal, Tauqeer Faiz, Munir Ahmad, Muhammad Adnan Khan

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Optimized Ensemble Deep Learning for Real-Time Intrusion Detection on Resource-Constrained Raspberry Pi Devices by Muhammad Bisri Musthafa, Samsul Huda, Tuy Tan Nguyen, Yuta Kodera, Yasuyuki Nogami

“…Building upon our previously developed stacked Long Short-Term Memory (LSTM) model integrated with ANOVA feature selection, we optimize it by integrating dual-stage model compression: pruning and quantization to create a lightweight model suitable for real-time inference on Raspberry Pi devices. …”
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Randomization-Driven Hybrid Deep Learning for Diabetic Retinopathy Detection by A. M. Mutawa, G. R. Hemalakshmi, N. B. Prakash, M. Murugappan

“…This study pioneers an innovative framework, using Multi-Scale Discriminative Robust Local Binary Pattern (MS-DRLBP) features, combined with a hybrid Convolutional Neural Network-Radial Basis Function (CNN-RBF) classifier, to enhance the detection of DR. …”
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