Exploring the benefits and prescribing informations of combining East Asian herbal medicine with conventional medicine in the treatment of rheumatoid arthritis: A systematic review... by Hee-Geun Jo, Jihye Seo, Eunhye Baek, Donghun Lee

“…These herbs and synergistic herbal combinations were anticipated to be the most pharmacologically influential in contributing to the meta-analysis outcomes, as substantiated by analytical metrics including network topology and intricate association pattern evaluations. …”
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Smart medical report: efficient detection of common and rare diseases on common blood tests by Ákos Németh, Ákos Németh, Gábor Tóth, Péter Fülöp, György Paragh, Bíborka Nádró, Zsolt Karányi, György Paragh, Zsolt Horváth, Zsolt Csernák, Zsolt Csernák, Erzsébet Pintér, Erzsébet Pintér, Dániel Sándor, Dániel Sándor, Gábor Bagyó, István Édes, János Kappelmayer, Mariann Harangi, Bálint Daróczy, Bálint Daróczy

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Automated Deadlift Techniques Assessment and Classification Using Deep Learning by Wegar Lien Grymyr, Isah A. Lawal

“…We adapted the MoveNet model to track keypoints on the lifter’s joints, which effectively represented their motion patterns. These keypoints not only served as visualization aids in the training of Convolutional Neural Networks (CNNs) but also acted as the primary features for Long Short-Term Memory (LSTM) models, both of which we employed to classify the various deadlift techniques. …”
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Systematic review and meta-analysis of disease clustering in multimorbidity: a study protocol by Andrew Wister, Kate Smolina, Felicity Clemens, Mike A Irvine, Jennifer Ferris, Boah Kim, Lean K Fiedeldey, Sogol Haji Hosseini

“…We will assess the stability of obtained disease clusters across the research literature to date, in order to evaluate the strength of evidence for specific disease patterns in multimorbidity.Ethics and dissemination This study does not require ethics approval as the work is based on published research studies. …”
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Adaptability and phenotypic stability of sugarcane clones in the state of Mato Grosso do Sul using multi-information methodology by Clodomiro Nicácio do Nascimento Júnior, Leandro Escobar Dalarosa, Jéssica Maria dos Santos, Moacir Marreiro da Silva, Lívia Maria Chamma Davide, João Carlos Civieiro, Hermann Paulo Hoffmann, Amanda Gonçalves Guimarães

“…The adaptability and stability of the genotypes was evaluated using multi-information, which included 10 parameters, being: the general average, average potential in different environmental conditions, plasticity, measure of the relative contribution to the interaction, Annicchiarico recommendation index, percentage adaptability, stability percentage, J pattern of genotype response, champion pattern and centroid recommendation index. …”
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DDA-MSLD: A Multi-Feature Speech Lie Detection Algorithm Based on a Dual-Stream Deep Architecture by Pengfei Guo, Shucheng Huang, Mingxing Li

“…It can perform in-depth sequence pattern analysis on manually extracted static prosodic features and nonlinear dynamic features, obtaining high-order dynamic features related to lies. …”
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Antimicrobial Susceptibility Profiles of <i>Escherichia coli</i> Isolates from Clinical Cases of Geese in Hungary Between 2022 and 2023 by Ádám Kerek, Ábel Szabó, Ákos Jerzsele

“…Cluster analysis and principal component analysis (PCA) were applied to identify resistance patterns. Co-resistance relationships were examined through network analysis, while Monte Carlo simulations were used to estimate the expected prevalence of MDR strains. …”
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Human mobility and malaria risk in peri-urban and rural communities in the Peruvian Amazon. by Joaquin Gomez, Alessandro Grosso, Mitchel Guzman-Guzman, Stefano Garcia Castillo, Marcia C Castro, Katherine Torres, Joseph M Vinetz, Dionicia Gamboa

“…This study focuses on identifying the sources of malaria transmission and patterns of human mobility in order to understand the movement and transmission of the parasite.…”
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Estimation of state of health for lithium-ion batteries using advanced data-driven techniques by Smitanjali Rout, Sudhansu Kumar Samal, Demissie Jobir Gelmecha, Satyasis Mishra

“…This study proposes an advanced framework that leverages machine learning models to model the nonlinear degradation patterns of lithium-ion batteries by focusing on key features such as voltage, current, internal resistance, and temperature. …”
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High-performance glass classification using advanced machine learning and deep learning algorithms with a comprehensive feature analysis by Mohammed Bouziane, Abdelghani Bouziane, Samia Larguech, Khatir Naima, Mohammad Salman Haque, Younes Menni

“…Advanced learning algorithms like Random Forest (RF), XGBoost, Support Vector Machines, and Bidirectional Long Short-Term Memory (BiLSTM) networks are applied for classification. Findings prove RF and XGBoost to provide the highest classification accuracy, and BiLSTM to be the best in recognizing complex data patterns. …”
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Characterization of Clostridium difficile Strains in British Columbia, Canada: A Shift from NAP1 Majority (2008) to Novel Strain Types (2013) in One Region by Agatha N. Jassem, Natalie Prystajecky, Fawziah Marra, Pamela Kibsey, Kennard Tan, Patricia Umlandt, Loretta Janz, Sylvie Champagne, Bruce Gamage, George R. Golding, Michael R. Mulvey, Bonnie Henry, Linda M. N. Hoang

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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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Skin Lesion Diagnosis Through Deep Learning and Hybrid Texture Feature Augmentation by Irpan Adiputra Pardosi, Roni Yunis, Arwin Halim

“…This study proposes a robust framework for optimizing Gray-Level Co-occurrence Matrix (GLCM) and Local Binary Pattern (LBP) parameters using the ISIC 2023 dataset. …”
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Anomaly detection research using Isolation Forest in Machine Learning by A. S. Kechedzhiev, O. L. Tsvetkova

“…To implement this research, the Python programming language and the scikit-learn library were chosen to implement the Isolation Forest, as well as Pandas for working with data.Result. Evaluating the applicability of the Isolation Forest method on unstructured data revealed its potential for identifying anomalous patterns without the need for extensive labeling. …”
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Insights into hepatic angiomyolipoma: A case report highlighting scannographic findings by Fatima Zohra EL Yaagoubi, MD, Said Adnor, MD, Adam Hajjine, MD, Soukaina Wakrim

“…Postcontrast enhancement demonstrated a heterogeneous pattern with arterial-phase vascular structures (branches of the hepatic artery) and venous-phase elements (branches of the portal vein network). …”
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Comparison and Interpretability Analysis of Deep Learning Models for Classifying the Manufacturing Process of Pigments Used in Cultural Heritage Conservation by Inhee Go, Yu Fu, Xi Ma, Hong Guo

“…Four convolutional neural networks (CNNs) (i.e., AlexNet, GoogLeNet, ResNet, and VGG) and one vision transformer (ViT) were compared on micrograph datasets of various pigments. …”
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Abnormal arm swing movements in Parkinson’s disease: onset, progression and response to L-Dopa by M. Patera, A. Zampogna, L. Pietrosanti, F. Asci, M. Falletti, G. Pinola, E. Bianchini, G. Di Lazzaro, V. Rosati, P. Grillo, F. Giannini, F. Fattapposta, G. Costantini, A. Pisani, G. Saggio, Antonio Suppa

“…Methods Twenty healthy subjects (HS) and 40 PD patients, including 20 early-stage and 20 mid-advanced subjects, underwent a 6-m Timed Up and Go test while monitored through a network of wearable inertial sensors. Arm swing movements were objectively evaluated in both hemibodies and different upper limb joints (shoulder and elbow), using specific time-domain (range of motion and velocity) and frequency-domain measures (harmonics and total harmonic distortion). …”
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Acute Respiratory Infections Identification With Cough Sounds and Overlapping Patch Modulated Vision Transformers by P. V. V. Kishore, D. Anil Kumar, Pasupuleti Sasikiran, Kaja Krishna Mohan, P. Praveen Kumar, Mogadala Vinod Kumar

“…Variable cough sound vs silent intervals between samples of a class in MFCC spectral images has shown to influence training algorithms to learn meaningful patterns for classification. To learn all possible local patterns in the MFCC cough images using a vision transformer model (ViT), we propose an image patch overlapping vision transformer <inline-formula> <tex-math notation="LaTeX">$IPO-ViT$ </tex-math></inline-formula>. …”
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Cross-lingual hate speech detection using domain-specific word embeddings. by Ayme Arango Monnar, Jorge Perez Rojas, Barbara Polete Labra

“…Hate speech detection in online social networks is a multidimensional problem, dependent on language and cultural factors. …”
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Attention-fused residual transformer CNN for robust lower limb movement recognition by A. Anitha, D. Jeraldin Auxillia

“…The AF-RT-CNN architecture combines residual blocks, attention mechanism and Transformer Encoder aiding robust feature extraction, good generalization capability and pattern recognition. The proposed framework was evaluated across 11 healthy individuals and 11 patients with lower limb impairments, across three distinct categories of lower limb movements sit, stand and gait. …”
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