The feature and significance of lower limb MRI in adult myositis patients with anti-NXP2 antibody: a retrospective cohort study in China by Li Shanshan, Wang Lu, Sun Chao, Zhang Ling, Duan Jianghui, Zhu Jianyu

“…The MRI features and medical records of patients were reviewed. …”
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A REMARKABLE FEATURE OF BIODIVERSITY OF THE COASTAL, MARINE AND ISLAND ECOSYSTEMS OF THE CASPIAN SEA. A NEW LOOK AT THE AGE OF ISLANDS AND LEVEL MODE by G. M. Abdurahmanov, A. A. Teymurov

“…A different situation with understanding and explanation of the pattern of endemism coastal and especially island taxa. …”
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Spatiotemporal distribution and detection of spatial clusters of tuberculosis in Hubei Province, China using FleXScan (2017–2023) by Lina Wang, Yaru Li, Ji Chen, Danfei Zhang, Zhengbin Zhang, Xiang Li

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Explainability of Subfield Level Crop Yield Prediction Using Remote Sensing by Hiba Najjar, Miro Miranda, Marlon Nuske, Ribana Roscher, Andreas Dengel

“…The explainability results reveal distinct feature importance patterns for each crop and region. …”
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Predicting customer subscription in bank telemarketing campaigns using ensemble learning models by Michael Peter, Hawa Mofi, Said Likoko, Julius Sabas, Ramadhani Mbura, Neema Mduma

“…Future work could explore deep learning models and interpretability techniques to gain deeper insights into customer behavior patterns. Overall, this study highlights the potential of ensemble models in predictive modeling for telemarketing, providing a data-driven foundation for more targeted and efficient customer acquisition strategies.…”
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EEG-based neurodegenerative disease diagnosis: comparative analysis of conventional methods and deep learning models by B. R. Nayana, M. N. Pavithra, S. Chaitra, T. N. Bhuvana Mohini, Thompson Stephan, Vijay Mohan, Neha Agarwal

“…Firstly, a conventional machine learning model was developed post-pre-processing, and feature extraction from the power spectral density was done using a Random Forest classifier. …”
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A Comprehensive Framework for Parkinson's Disease Detection Using Spiral Drawings and Advanced Machine Learning Techniques by Mohamed J. Saadh, Waleed K. Abdulsahib, Hardik Doshi, Anupam Yadav, J. Gowrishankar, Mayank Kundlas, Nargiza Mansurova, Kamal Kant Joshi, Fadhil Feez Sead, Bagher Farhood

“…Three deep learning models—ResNet50, VGG16, and EfficientNetB0—were used to extract detailed patterns from the drawings. To enhance model performance, four feature selection techniques were applied: Principal Component Analysis (PCA), Recursive Feature Elimination (RFE), Least Absolute Shrinkage and Selection Operator (LASSO), and ANOVA. …”
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Computer Tomography Features of Antineutrophil Cytoplasm Antibody-associated Vasculitis-interstitial Lung Disease and Its Correlation with Antineutrophil Cytoplasmic Antibody Conce... by Hongmei WANG, Junlin LI, Yuqing DONG, Yueyang ZHANG, Renhuan YAO

“…CT imaging data were analyzed qualitatively and quantitatively to evaluate lesion types (e.g., ground-glass opacities, reticulations, honeycombing, consolidation, and traction bronchiectasis) and their distribution patterns. The severity of the lesions was quantified using a pulmonary fibrosis scoring system, and the correlation between imaging features and laboratory indices was analyzed. …”
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Use of Socio-economic, Climatic, and Land use Land Cover Patterns in Solid Waste Forecasting with Integrated Gradient LSTNet Based Model in Lomé, Togo by Kanlanféi Sambiani, Yendoubé Lare, Adamou Zanguina, Satyanarayana Narra

“…This study aimed to develop a new approach of Integrated Gradient Long- and Short-term Time series Network (LSTNet+IG)-based models, assess the baseline neural network models, and provide features influences explanation on MSW generation by using socio-economic, climatic, and Land Use Land Cover (LULC) patterns. …”
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Computational image and molecular analysis reveal unique prognostic features of immune architecture in African Versus European American women with endometrial cancer by Sepideh Azarianpour, Sirvan Khalighi, Arpit Aggarwal, Vidya Sankar Viswanathan, Pingfu Fu, Stefanie Avril, Anant Madabhushi

“…We identified the differences in immune cell spatial patterns between AA and EA populations with markers of tumor biology, including histologic and molecular subtypes. …”
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PD-Net: Parkinson’s Disease Detection Through Fusion of Two Spectral Features Using Attention-Based Hybrid Deep Neural Network by Munira Islam, Khadija Akter, Md. Azad Hossain, M. Ali Akber Dewan

“…Certainly, CNNs are employed to extract spatial features from the extracted spectro-temporal characteristics of vocal data, while LSTMs capture temporal dependencies, accelerating a comprehensive analysis of the development of vocal patterns over time. …”
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Leverage Gaussian Interpolation Features Extraction and Advanced Encode–Decode Models for 2D Steady State Flows Estimation by Thi-Thu-Huong Le, Changwoo Choi, Junyoung Son, Howon Kim

“…This paper introduces a novel approach that combines Gaussian interpolation-based feature extraction with advanced encode-decode models, including AutoEncoder, UNet, and DeepLabV3+. …”
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FEATURES OF EVALUATING THE RATIONALITY OF CONSUMER BEHAVIOR AT ALL STAGES OF USING NON-STEROIDAL ANTI-INFLAMMATORY DRUGS IN OCCUPATIONAL DISEASES OF THE MUSCULOSKELETAL SYSTEM by Андрей Георгиевич Петров, Сергей Николаевич Филимонов, Виктор Андреевич Семенихин, Ольга Владимировна Хорошилова

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Association between dermoscopic features and tumor thickness, diameter, age, and sex in acral melanoma: A cross-sectional studyCapsule Summary by Yaei Togawa, MD, PhD, Yosuke Yamamoto, MD, PhD, Keisuke Suehiro, MD, Yuki Shiko, PhD, Kohei Takahashi, MS, Yohei Kawasaki, PhD, Hiroyuki Matsue, MD, PhD, Takashi Inozume, MD, PhD

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Pericoronary adipose tissue radiomics features as imaging markers for coronary artery disease risk assessment: insights from gene expression analysis by Yan Li, Weimin Zhang, Yahui Hu, Zheng Xu, Qiang Huo, Haicheng Qi, Qian Liu, Yan Xing

“…Conclusions Our findings demonstrated a significant correlation between PCAT radiomics features and gene expression patterns in CAD patients. …”
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Machine learning analysis of kinematic movement features during functional tasks to discriminate chronic neck pain patients from asymptomatic controls by Filippo Moggioli, Óscar Rodríguez-López, Elena Bocos-Corredor, Constantino Antonio García, Sonia Liébana, Tomás Pérez-Fernández, Cristina Sánchez, Susan Armijo-Olivo, José Angel Santos-Paz, Aitor Martín-Pintado-Zugasti

“…Movement was characterized using fifteen features, incorporated into machine learning models to assess how movement patterns relate to patient condition. …”
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Age-Specific Clinical and Laboratory Features and Renal Involvement in Children with MIS-C: A Single Tertiary Centre Experience from Vojvodina by Borko Milanović, Vesna Stojanović, Gordana Vijatov-Ðurić, Marijana Savin, Andrea Ðuretić, Jelena Kesić, Nenad Barišić, Ognjen Ležakov, Ivana Vorgučin, Gordana Vilotijević-Dautović, Katarina Koprivšek

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Epidemic features and megagenomic analysis of childhood Mycoplasma pneumoniae post COVID-19 pandemic: a 6-year study in southern China by Yi Xu, Chen Yang, Panpan Sun, Fansen Zeng, Qian Wang, Jianlong Wu, Chunxiao Fang, Che Zhang, Jinping Wang, Yiling Gu, Xiaohuan Wu, Xiaoxian Zhang, Bin Yang, Juhua Yang, Hongwei Zhang, Jiacee Lian, Jinqiu Zhang, Li Huang, Qizhou Lian

“…With the atypical rise of Mycoplasma pneumoniae infection (MPI) in 2023, prompt studies are needed to determine the current epidemic features and risk factors with emerging trends of MPI to furnish a framework for subsequent investigations. …”
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STL-DCSInformer-ETS: A Hybrid Model for Medium- and Long-Term Sales Forecasting of Fast-Moving Consumer Goods by Yecheng Ma, Lili He, Junhong Zheng

“…Meanwhile, the ETS model specializes in modeling seasonal patterns, further refining forecasting precision. To further improve predictive performance, the Random Forest-based Recursive Feature Elimination (RF-RFE) method is applied to optimize feature selection. …”
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TRILINGUALISM AS AN OPTIMISING EDUCATIONAL FACTOR OF MASTERING A SECOND FOREIGN LANGUAGE WITHIN THE FORMAT OF COMPETENCE-BASED APPROACH by A. Likhacheva, T. Lomteva

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