LEFT HEART STRUCTURE AND FUNCTION IN PATIENTS WITH RHEUMATOID ARTHRITIS: ASSOCIATION WITH THE CLINICAL AND IMMUNOLOGICAL FEATURES OF THE DISEASE AND THE PRESENCE OF ARTERIAL HYPERT... by D A Khalilova, B D Nazarov, Yor Umarovich Saidov, R N Zubaidov

“…Objective: to study the pattern and possible pathogenetic aspects of LCC structural and functional changes in patients with RA in view of the clinical and immunological features of the disease and the presence of AH. …”
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Survival feature and trend of female breast cancer: A comprehensive review of survival analysis from cancer registration data by Dan-Dan Tang, Zhuo-Jun Ye, Wan-Wan Liu, Jing Wu, Jing-Yu Tan, Yan Zhang, Qun Xu, Yong-Bing Xiang

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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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Hidden features: CD36/SR-B2, a master regulator of macrophage phenotype/function through metabolism by Yuge Chen, Xuejia Zhang, Xuejia Zhang, Shengbin Huang, Shengbin Huang, Maria Febbraio

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Clinical Features of Type B Insulin Resistance in Japanese Patients: Case Report and Survey-Based Case Series Study by Yusuke Hirota, Hirotsugu Suwanai, Toshimasa Yamauchi, Takashi Kadowaki

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Quantifying the time-varying period and time lag features of groundwater response: Dynamic impacts of precipitation-fed groundwater recharge by Xiaoran Yin, Longcang Shu, Zhe Wang, Yuxi Li, Long Zhou, Chao Lv, Shuang Li, Bo Liu, Chengpeng Lu

“…To address these gaps, this study develops Coefficient Weighted-Wavelet Coherence Analysis (CW-WTC) from wavelet coherence to quantify time-varying periods and lags, integrating it with spatiotemporal Independent Component Analysis (stICA) to construct a framework that isolates precipitation-dominated response pattern and validates effectiveness via simulations. …”
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Risk Factors and Vascular Features Associated With Local Recurrence in Pancreatic Cancer Post‐Pancreaticoduodenectomy: A Retrospective Cohort Study by Ting‐Kai Liao, Ying Jui Chao, Wei‐Hsun Lu, Ping‐Jui Su, Chih‐Jung Wang, Yan‐Shen Shan

“…This study highlights potential risk factors, recurrence patterns, and associated vascular features for early identification. …”
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Weighing temporal fluctuations of drought features in Rwanda through the implementation of the standardized precipitation evapotranspiration index and standardized precipitation in... by Kazora Jonah, Zhu Weijun, Kyaw Oo Than, Temesgen Gebremariam Asfaw, Emmanuel Adu Gyamfi Kedjanyi, Abraham Okrah, Akimana Diane, Mathieu Mbati Mugunga

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Study of component features of essential oils of <i>Rosmarinus officinalis</i> and <i>Salvia sclarea</i> of Crimean origin by R. E. Ermachenkov, A. L. Markov, M. M. Agaev, E. V. Burtseva, I. I. Terninko

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Traditional culture of settlements associated with the natural environment: the case of Yi minority Southwest China by Likai Lin, Yan Gui

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Drunk Driver Detection Using Thermal Facial Images by Chin-Heng Chai, Siti Fatimah Abdul Razak, Sumendra Yogarayan, Ramesh Shanmugam

“…This study aims to investigate and propose a machine learning approach that can accurately detect alcohol consumption by analyzing the thermal patterns of facial features. Thermal images from the Tufts Face Database and self-collected images were utilized to train the models in identifying temperature variations in specific facial regions. …”
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A Grey Wolf Optimisation-Based Framework for Emotion Recognition on Electroencephalogram Data by Ram Avtar Jaswal, Sunil Dhingra

“…Human emotions trigger reflective transformations within the brain, leading to unique patterns of neural activity and behaviour. This study connects the power of electroencephalogram (EEG) data to investigate the intricate impacts of emotions, considering their reflective significance in our daily lives, in depth. …”
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Spatial Patterns of Land Take in a Mediterranean City: An Assessment of the SDG Indicator 11.3.1 in the Peri-Urban Area of Thessaloniki by Athena Yiannakou, George Zografos

“…Urban sprawl, characterized by continuous or discontinuous spatial patterns of artificial surface expansion, has been a common trend in most cities, even in those with longstanding compact features, such as cities in the northern Mediterranean region. …”
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Continuous Short-Term Pain Assessment in Temporomandibular Joint Therapy Using LSTM Models Supported by Heat-Induced Pain Data Patterns by Aleksandra Badura, Maria Bienkowska, Andrzej Mysliwiec, Ewa Pietka

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Data Compactness Versus Prediction Performance: Achieving Both by Pruning Redundant Samples With Dominant Patterns and Hamming Distance Based Sampling Scheme by Abdul Majeed, Seong Oun Hwang

“…Our sampling scheme has five key steps: data pre-processing, dominant pattern extraction by exploiting correlations between features, Hamming distance-based data classification into diverse and less diverse parts, data clustering for redundant-sample pruning from less diverse parts, and fine-tuning/synthesizing the final data. …”
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Identifying patterns of high intraoperative blood pressure variability in noncardiac surgery using explainable machine learning: a retrospective cohort study by Zheng Zhang, Jian Wu, Yi Duan, Linwei Liu, Yaru Liu, Jinghan Wang, Li Xiao, Zhifeng Gao

“…However, practical tools to characterize perioperative factors associated with HIBPV remain limited. This study aimed to develop explainable supervised machine learning (ML) models to classify patients with HIBPV and to identify structural perioperative patterns associated with HIBPV through model interpretation.Materials and Methods This retrospective cohort study analyzed 47,520 noncardiac surgery cases from Beijing Tsinghua Changgung Hospital. …”
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Solar and Wind 24 H Sequenced Prediction Using L-Transform Component and Deep LSTM Learning in Representation of Spatial Pattern Correlation by Ladislav Zjavka

“…Node-by-node feature selection and dynamical PDE representation of DfL are evaluated along with long-short-term memory (LSTM) recurrent processing of deep learning (DL), capturing complex spatio-temporal patterns. …”
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A Global Review of Monitoring Cropland Abandonment Using Remote Sensing: Temporal–Spatial Patterns, Causes, Ecological Effects, and Future Prospects by Tao Liu, Le Yu, Xiaoxuan Liu, Dailiang Peng, Xin Chen, Zhenrong Du, Ying Tu, Hui Wu, Qiang Zhao

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Spatiotemporal Distribution and Dispersal Pattern of Early Life Stages of the Small Yellow Croaker (<i>Larimichthys Polyactis</i>) in the Southern Yellow Sea by Xiaojing Song, Fen Hu, Min Xu, Yi Zhang, Yan Jin, Xiaodi Gao, Zunlei Liu, Jianzhong Ling, Shengfa Li, Jiahua Cheng

“…In addition, there are variations in distribution patterns among different developmental stages. <i>Larimichthys polyactis</i> spawn in the inshore and nearshore waters, and after hatching, larvae in the pre-flexion stage tend to remain aggregated near the spawning beds. …”
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Intrauterine growth patterns in rural Ethiopia compared with WHO and INTERGROWTH-21st growth standards: A community-based longitudinal study. by Meselech Roro, Wakgari Deressa, Bernt Lindtjørn

“…Adequate intrauterine growth (IUG) is a basic feature of a healthy pregnancy. The aim of our study was to assess IUG patterns in a rural and drought-affected population in the Rift Valley area of the Adami Tullu district in Oromia, Ethiopia.…”
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