The Potential Biological Roles and Clinical Significance of Anaphase-Promoting Complex Subunit 1 in Colorectal Cancer by Yi Chen MD, Yu-Xing Tang MD, Da-Tong Zeng MD, Jia-Ying Wen MD, Yan-Ting Zhan MD, Dong-Ming Li MD, Rong-Quan He MD, Zhi-Guang Huang MD, Yu-Zhen Chen MD, Qiu-Yu Wei MD, Gang Chen PhD, Yu-Lu Tang MD, Hui Li MD

“…Materials and methods This study integrated 2329 mRNA expression data, single-cell RNA sequencing (scRNA-seq), and internal immunohistochemistry of 416 tissue samples to comprehensively evaluate the abnormal expression pattern of ANAPC1 in CRC. …”
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Crime in Tourism: A Systematic Literature Review and Bibliometric Analysis by Eylem Baş, Engin Bayraktaroğlu

“…It is also essential to evaluate crime patterns within the tourism phenomenon. …”
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A novel deep learning approach to field-road semantic segmentation by Bei Wang, Wenze Wang

“…Abstract The automatic segmentation of field-road using artificial intelligence (AI) is imperative for intelligence agriculture, allowing for the distinction between operational patterns (e.g., turning and transporting) through the analysis of global navigation satellite system (GNSS) data. …”
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Application of Machine Learning Models in Social Sciences: Managing Nonlinear Relationships by Theodoros Kyriazos, Mary Poga

“…Machine learning models, including decision trees, neural networks, random forests, and support vector machines, provide a flexible framework for capturing these intricate patterns. …”
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Zero Knowledge Proof Solutions to Linkability Problems in Blockchain-Based Collaboration Systems by Chibuzor Udokwu

“…However, linkability problems exist in blockchain-based collaboration platforms due to privacy leakages, which, when exploited, will result in tracing transaction patterns to users and exposing collaborating organizations and parties. …”
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Lactylation-related gene signatures identify glioma molecular subtypes with prognostic, immunological, and therapeutic implications by Yanliang Tang, Xiaoli Zhang, Xiaofei Tang, Ye Yuan, Wenwen Wang

“…IntroductionLactic acid is a by-product of energy metabolism and a signaling molecule that influences tumor progression by regulating immune cell function, angiogenesis, and epigenetic modifications.MethodsThis study analyzed data from the TCGA database on gliomas to systematically elucidate the expression patterns, prognostic value, and functional regulatory networks of lactylation-related genes.ResultsIn this study, 17 lactylation-related prognostic genes were identified through the analysis of TCGA-GBM data. …”
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Advancing sustainable investing: A deep learning model for multi-source stock prediction by Hongxuan Yu, Tingting Zhang, Murat Kizildag

“…This multifaceted approach is operationalized within a predictive model underpinned by long short-term memory (LSTM) networks and an attention framework geared toward deciphering the intricate, non-linear patterns characteristic of stock market time series data. …”
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Smart Organization of Imbalanced Traffic Datasets for Long-Term Traffic Forecasting by Mustafa M. Kara, H. Irem Turkmen, M. Amac Guvensan

“…We evaluated these strategies using four popular model types: long short-term memory (LSTM), gated recurrent unit networks (GRUs), bi-directional LSTM, and convolutional neural networks (CNNs). …”
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Recurrence of autoimmune hepatitis cholestatic variant syndromes after liver transplantation affects graft and patient survival by Vincenzo Ronca, Alessandro Parente, Ellina Lytvyak, Bettina E. Hansen, Gideon Hirschfield, Alan Bonder, Maryam Ebadi, Saleh Elwir, Mohamad Alsaed, Piotr Milkiewicz, Maciej K. Janik, Hanns-Ulrich Marschall, Maria Antonella Burza, Cumali Efe, Ali Rıza Calışkan, Murat Harputluoglu, Gökhan Kabaçam, Débora Terrabuio, Fernanda de Quadros Onofrio, Nazia Selzner, Albert Parés, Laura Llovet, Murat Akyıldız, Cigdem Arikan, Mihael P. Manns, Richard Taubert, Anna-Lena Weber, Thomas D. Schiano, Brandy Haydel, Piotr Czubkowski, Piotr Socha, Natalia Ołdak, Nobuhisa Akamatsu, Atsushi Tanaka, Cynthia Levy, Eric F. Martin, Aparna Goel, Mai Sedki, Irena Jankowska, Toru Ikegami, Maria Rodriguez, Martina Sterneck, Marcial Sebode, Christoph Schramm, Maria Francesca Donato, Francesca Colapietro, Ansgar Lohse, Raul J. Andrade, Vilas R. Patwardhan, Bart van Hoek, Maaike Biewenga, Andreas E. Kremer, Yoshihide Ueda, Mark Deneau, Mark Pedersen, Marlyn J. Mayo, Annarosa Floreani, Patrizia Burra, Maria Francesca Secchi, Benedetta Terziroli Beretta-Piccoli, Marco Sciveres, Giuseppe Maggiore, Syed-Mohammed Jafri, Dominique Debray, Muriel Girard, Florence Lacaille, Michael Heneghan, Andrew L. Mason, Ye Oo, Aldo J. Montano-Loza

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Uncovering genetic mechanisms associated with harmful use of alcohol in admixed Latin Americans by Edson H. B. Amaral, Gabriela de S. G. Britto, Raquel B. de São Pedro, Alberto O. Moreira, Marília O. Scliar, Ricardo Lyra, Natália P. Lima, Caroline A. Feitosa, Camila A. V. Figueiredo, Helena M. Pitangueira, Thiago Magalhães da Silva, Luydson R. S. Vasconcelos, Rodrigo F. Carmo, Maurício L. Barreto, Eduardo Tarazona-Santos, Bernardo L. Horta, Ana L. Brunialti-Godard, Pablo R. S. Oliveira

“…Abstract Background Harmful use of alcohol (HUA) refers to drinking patterns that are associated with increased risk of medical complications and adverse social impacts. …”
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Enhancing DDoS Attacks Mitigation Using Machine Learning and Blockchain-Based Mobile Edge Computing in IoT by Mahmoud Chaira, Abdelkader Belhenniche, Roman Chertovskih

“…Our solution leverages the decentralized and tamper-resistant nature of Blockchain technology to enable secure and efficient data collection and processing at the network edge. We evaluate multiple machine learning models, including K-Nearest Neighbors (KNN), Support Vector Machine (SVM), Decision Tree (DT), Random Forest (RF), Transformer architectures, and LightGBM, using the CICDDoS2019 dataset. …”
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A Variational-Mode-Decomposition-Cascaded Long Short-Term Memory with Attention Model for VIX Prediction by Do-Hyeon Kim, Dong-Jun Kim, Sun-Yong Choi

“…Financial time-series forecasting presents a significant challenge due to the inherent volatility and complex patterns in market data. This study introduces a novel forecasting framework that integrates Variational Mode Decomposition (VMD) with a Cascaded Long Short-Term Memory (LSTM) network enhanced by an Attention mechanism. …”
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A clustering-based federated deep learning approach for enhancing diabetes management with privacy-preserving edge artificial intelligence by Xinyi Yang, Juan Li

“…We develop tailored models that enhance prediction accuracy by clustering patients based on carbohydrate (CHO) intake patterns. Utilizing Simple Recurrent Neural Network (SimpleRNN) and Gated Recurrent Unit (GRU) methods, the study evaluates the performance of local patients who contribute to training the cluster and global (non-cluster) models. …”
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Enhancing hand-drawn diagram recognition through the integration of machine learning and deep learning techniques by Vanita Agrawal, MVV Prasad Kantipudi, Jayant Jagtap

“…This research proposes improvised methods such as Fossum Soergel k-means clustering, morphological Canny Bessel radial basis contour shape factor, Fisher kernel k-nearest neighbor, sing-scurve fuzzy rule generation, and wide context faster regional convolutional neural network to enhance the system’s performance. The system’s performance is evaluated by experimentation with benchmark datasets of hand-drawn flowcharts, finite automata, and business process models. …”
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Evolution of public broadcasting: TeleJurnal’s viewership trends and strategic implications for business sustainability by Săseanu Ramona, Stanomir Ruxandra, Bădulescu Andreea-Alexandra

“…This research examines the viewership trends of TeleJurnal, the network’s main flagship news program, utilizing data from 2018 to 2022, and projects forecasts for 2023–2025. …”
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Alzheimer’s Disease Prediction Using Fisher Mantis Optimization and Hybrid Deep Learning Models by Sameer Abbas, Mustafa Yeniad, Javad Rahebi

“…The selected features were classified using a CNN-LSTM model, capturing both spatial and temporal patterns. The MLP-LSTM model was included only for benchmarking purposes. …”
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Gait Recognition via Enhanced Visual–Audio Ensemble Learning with Decision Support Methods by Ruixiang Kan, Mei Wang, Tian Luo, Hongbing Qiu

“…Gait is considered a valuable biometric feature, and it is essential for uncovering the latent information embedded within gait patterns. Gait recognition methods are expected to serve as significant components in numerous applications. …”
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Apoptosis-associated genetic mechanisms in the transition from rheumatoid arthritis to osteoporosis: A bioinformatics and functional analysis approach by Hao-Ju Lo, Chun-Hao Tsai, Tsan-Wen Huang

“…Weighted Gene Co-expression Network Analysis (WGCNA) further examined gene relationships with the disease status, identifying co-expression patterns. …”
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CAPSE-ViT: A Lightweight Framework for Underwater Acoustic Vessel Classification Using Coherent Spectral Estimation and Modified Vision Transformer by Najamuddin NAJAMUDDIN, Usman Ullah SHEIKH, Ahmad Zuri SHA’AMERI

“…Further, the features are processed via a vision transformer (ViT) network. This method enables the model to learn more complex relationships and patterns within the data, thereby improving the classification performance. …”
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Novel Differentially Expressed LncRNAs Regulate Artemisinin Biosynthesis in <i>Artemisia annua</i> by Tingyu Ma, Tianyuan Zhang, Jingyuan Song, Xiaofeng Shen, Li Xiang, Yuhua Shi

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