Forecasting Sales in Live-Streaming Cross-Border E-Commerce in the UK Using the Temporal Fusion Transformer Model by Qi Zhang, Xue Li, Pengbin Gao

“…Our multimodal approach integrates diverse time series data, including historical sales, key opinion leader (KOL) influence, and seasonal patterns. The Temporal Fusion Transformer (TFT) model demonstrated consistently lower Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), and Mean Squared Error (MSE) across all forecasting horizons compared to other machine learning approaches, including Long Short-Term Memory (LSTM), Convolutional Neural Networks (CNN), and Gated Recurrent Unit(GPU)-accelerated architectures. …”
Get full text

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. …”
Get full text

Anomaly Detection in Network Traffic via Cross-Domain Federated Graph Representation Learning by Yanli Zhao, Zongduo Liu, Junjie Pang

“…Traditional detection approaches typically rely on statistical features while overlooking the interaction patterns and structural dependencies among traffic flows. …”
Get full text

Deep Temporal and Structural Embeddings for Robust Unsupervised Anomaly Detection in Dynamic Graphs by Samir Abdaljalil, Hasan Kurban, Rachad Atat, Erchin Serpedin, Khalid Qaraqe

“…We introduce Temporal Structural Graph Anomaly Detection (<sc>T-StructGAD</sc>), an unsupervised framework that leverages Graph Convolutional Gated Recurrent Units (<monospace>GConvGRU</monospace>s) and Long Short-Term Memory networks (<monospace>LSTM</monospace>s) to jointly model both structural and temporal dynamics in graph node embeddings. …”
Get full text

Toward AI-Augmented Formal Verification: A Preliminary Investigation of ENGRU and Its Challenges by Chanon Dechsupa, Teerapong Panboonyuen, Wiwat Vatanawood, Praisan Padungweang, Chakchai So-In

“…In this paper, we present ENGRU (Enhanced Gated Recurrent Units), a novel deep learning-based approach for formal verification. …”
Get full text

First Molecular Characterization and Antibiogram of Bacteria Isolated From Dairy Farm Wastewater in Bangladesh by Md. Shamsul Islam, Md. Arif-Uz-Zaman Polash, Md. Hakimul Haque

“…Moreover, several antibiotic resistance genes (ARGs) including penA, blaTEM, blaCTX−M, tetA, tetB, tetC, and ermB were detected across the bacterial species, with high prevalence rates in P. aeruginosa and A. junii, suggesting the potential for horizontal gene transfer and further spread of resistance. …”
Get full text

Influence of Previous Emergency Department Visit Information on Care of Current Patients by Ricardo X. Noriega, Juan Nañez, Emily Hartmann, Scott B. Crawford, Chantel D. Sloan-Aagard

“…The primary outcome was the influence of knowledge from prior records on interactions during the most recent visit, measured with 11 Likert-scale ratings. Reviewer agreement was used as an indicator of confidence. …”
Get full text

Disparities in Gastrointestinal Cancer Incidence in Asian American, Native Hawaiian, and Other Pacific Islander Groups by Vicki Tang, Cynthia W. Ko

“…The aim of this study was to examine patterns and trends in incidence of common gastrointestinal cancers in AANHPI groups compared to the non-Hispanic White (NHW) population. …”
Get full text

Transcriptome combined single-cell sequencing explores molecular mechanisms of ANGPTL4 in sepsis-induced acute lung injury. by Ying Qi, Changqi Zhou, Bing Chen

“…<h4>Objective</h4>Sepsis-induced acute lung injury (ALI) constitutes a critical clinical syndrome associated with high mortality rates, yet its molecular mechanisms remain inadequately elucidated. …”
Get full text

Usefulness of Pre-operative CT Scan to Assess Lateral Wall Instability in Trochanteric Fractures by Sandeep T George, R Ravikumar, Sabari Arasu, Prasanna Chandiralingam, Jeevithan Shanmugam

“…Conventional classification systems using plain radiographs have limitations in accurately assessing unstable fracture patterns, particularly those involving lateral wall deficiency. …”
Get full text

The influence of exercise self-efficacy and gender on the relationship between exercise motivation and physical activity in college students by Jiazhi Sheng, Indang Ariati Binti Ariffin, Jacquline Tham

“…Abstract This study examined the relationships among exercise motivation, exercise self-efficacy, and physical activity rating, as well as the role of exercise self-efficacy in the above relationship. …”
Get full text

Association of Paternal Diabetes With Hemorrhagic Stroke in Bangladeshi Women: The MAGPIE Study by Md. Abdullah Yusuf, Redoy Ranjan, Dipannita Adhikary, Adneen Moureen, Maliha Hakim

“…We utilized univariate analysis to identify risk patterns in the data sets, whereas a multivariate logistic regression (LR) analysis identified the independent predictors of HS in women. …”
Get full text

Diversification, loss, and virulence gains of the major effector AvrStb6 during continental spread of the wheat pathogen Zymoseptoria tritici. by Ana Margarida Sampaio, Sabina Moser Tralamazza, Faharidine Mohamadi, Yannick De Oliveira, Jérôme Enjalbert, Cyrille Saintenac, Daniel Croll

“…Across Europe, we found the strongest differentiation of the effector consistent with high rates of Stb6 deployment. The AvrStb6 locus showed also a remarkable diversification in transposable element content with specific expansion patterns across the globe. …”
Get full text

Four-party evolutionary game of collaborative recycling and management of takeaway packaging waste by JIA Yajuan, JI Yuexin

“…This study aims to explore the evolutionary game patterns among multiple stakeholders in the recycling and management process and identify key influencing factors and their effects. …”
Get full text

Prevalence and risk factors of the most common multimorbidity among Canadian adults. by Obed Mortey, Gerald Mugford, Kris Aubrey-Bassler, Hensley H Mariathas, Ugochukwu Odimba, Zhiwei Gao

“…The identification of the most prevalent patterns and associated risk factors in this study provides fresh insights into the etiology, progression, and possible prevention of the MCM among Canadian adults.…”
Get full text

Intervention of machine learning in bladder cancer research using multi-omics datasets: systematic review on biomarker identification by Blessy Kiruba, P. S. Athul Narayan, Badhari Raj, S. Rohieth Raj, Sam George Mathew, Sudhakaran Sajitha Lulu, Vino Sundararajan

“…BC is characterized by its highly heterogeneous and dynamic nature, with significantly higher morbidity and mortality rates in men compared to women. Diagnosing BC requires traditional methods, such as cystoscopy, which can be invasive and costly. …”
Get full text

Global burden of viral skin diseases from 1990 to 2021: a systematic analysis for the global burden of disease study 2021 by Deng Li, Ming Chen, Wei Li, Xuewen Xu, Qingfeng Li

“…BackgroundThe scarcity of knowledge regarding the epidemiology and temporal patterns of viral skin diseases worldwide poses significant challenges to their control and management.MethodsWe analyzed the global incidence, prevalence, and age-standardized rates (ASR) of disability-adjusted life years (DALYs) for viral skin diseases in 2021. …”
Get full text

Graph Neural Network With Hessian-Based Locally Linear Embedding for Cancer Metastasis Analysis in Lymph Nodes Using DeepLab Segmentation by Senthil Jayapal, R. Annamalai

“…In clinical settings, where whole-slide images of histological lymph nodes are involved, it is crucial to identify and detect breast cancer metastases. Patient survival rates increase significantly with early detection. …”
Get full text

Comparative analysis of aggressiveness in giant cell tumor of bone between upper and lower extremities: A systematic review and meta-analysis by Rhyan Darma Saputra, Dita Anggara Kusuma, Fathih Kaldani, Khoirul Fahmi

“…Emerging evidence suggests unique behavioral patterns of GCTB in extremities. This study seeks to rigorously compare the aggressiveness of GCTB in the upper versus lower extremities, centering on recurrence rates. …”
Get full text

Treatment outcomes of bedaquiline-based longer oral antitubercular regimens in Indian children above five years of age by Ira Shah, Dhruv N. Gandhi, Ramsha Ansari, Himanshu Warse, Sachi Kalawadia, Tsering Yangchen, Daksha Shah, Varsha Puri, Sanjay Mattoo, Minnie Bodhanwala

“…Data on demographics, clinical features, resistance patterns, treatment regimens, outcomes, and adverse effects were analyzed. …”
Get full text