Trend analysis and epidemiological forecasting of colorectal Cancer mortality among reproductive-age women in sub-Saharan Africa by Jiefeng Zhao, Daxing Miao, Tao Yang, Jiang Chen, Xiangquan Lai

“…This study aimed to analyze CRC mortality trends, identify key driving factors, and predict future mortality patterns among women of childbearing age in SSA. Methods: We assessed CRC mortality among women of childbearing age across four SSA subregions and 46 countries, calculating age-standardized mortality rates (ASMR) and estimated annual percentage change (EAPC). …”
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Evolutionary trajectory estimation via replication simulation of coronavirus spike gene based on random mutation and similarity-based selection by Min Chan Kim, Hye Ji Jung, Seong Sik Jang, Van Thi Lo, Hye Kwon Kim

“…Simulations tracking the evolution of SARS-CoV-2 Wuhan-Hu-1 toward the Omicron variant (BA.1) displayed plateau-like similarity trajectories, where increased substitution rates resulted in a more rapid attainment of the plateau stage. …”
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A neuronal imaging dataset for deep learning in the reconstruction of single-neuron axons by Liya Li, Liya Li, Ying Hu, Ying Hu, Xiaojun Wang, Pei Sun, Tingwei Quan

“…Our results demonstrate significantly improved axon detection rates across both state-of-the-art and traditional methodologies. …”
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Deep Learning Approach for Classifying DDoS Attack Traffic in SDN Environments by Mohd Nadeem, Shweta Dwivedi, Rizwan Akhtar, Shameem Ahmad Ansari, Saumya Singh, Eram Fatima Siddiqui, Rajeev Kumar

“…A neural network classifier analyzes this data to identify complex patterns and behaviors associated with DDoS attacks. …”
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AEMS: Adaptive Ensemble GNNs for Multibehavior Stream Recommendation by Ritchie Natuan Caibigan, Punyaphol Horata, Pusadee Seresangtakul

“…The AEMS synergizes long-term preference patterns (derived from historical interactions) with real-time user intents and item attributes (captured through multibehavior signals), integrating them via an adaptive ensemble neural gating mechanism. …”
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Analysis of 1560 Inpatient and Outpatient Escherichia coli Isolates from across Canada—Results from the CANWARD 2007 Study by Philippe RS Lagacé-Wiens, Mel DeCorby, Patricia J Baudry, Daryl J Hoban, James A Karlowsky, The Canadian Antimicrobial Resistance Alliance (CARA), George G Zhanel

“…Fluoroquinolones and sulfonamides should be used cautiously and in consideration of local resistance patterns for infections caused by E coli, due to lower susceptibility rates. …”
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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. …”
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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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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. …”
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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. …”
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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. …”
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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. …”
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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. …”
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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. …”
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Prevalence and Associated Factors of Insomnia in Adult Psychiatric Patients: A Hospital-Based Study by Jhowhar Datta, Mohammad Tariqul Alam, Taiyeb Ibna Zahangir, Sadia Afrin, Ahsan Aziz Sarkar, Md Shariful Haque, A. M. Fariduzzaman, Bijoy Kumar Dutta

“…Background and Objective Insomnia is highly prevalent in psychiatric disorders, yet its patterns and predictors vary across diagnoses and cultural contexts. …”
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Epidemiology of extended-spectrum β-lactamase producing Escherichia coli from hospital settings in Yemen by Samar Nasher, Sameer Alsharapy, Anwar Al-Madhagi, Fathiah Zakham

“…The highest significant rates were among the elderly, patients with previous hospitalization, patients who have stayed in hospital more than 22 days, patients who have taken third generation cephalosporins as treatment and diabetic patients. …”
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Social media use, risk behavior engagement, and mental health among middle adolescents in the Caribbean by Deogwoon Kim, Riley Magane, Maxwell Poitier, Julia Kuang, Ava Wang, Richard Adderley, Lynette Deveaux

“…This study explored the magnitude and patterns of social media use, risk behaviors, and mental health among boys and girls and examined associations between these factors. …”
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MSDCA: A Multi-Scale Dual-Branch Network with Enhanced Cross-Attention for Hyperspectral Image Classification by Ning Jiang, Shengling Geng, Yuhui Zheng, Le Sun

“…First, a multiscale 3D spatial–spectral feature extraction module (3D-SSF) employs parallel 3D convolutional branches with diverse kernel sizes and dilation rates, enabling hierarchical modeling of spatial–spectral representations from large-scale patches and effectively capturing both fine-grained textures and global context. …”
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Non-selective waterbird hunting in a Natura 2000 site results in killing of protected species: A case study from western Poland by Dominik Marchowski, Robert Jurszo, Paweł Stańczak, Michał Jasiński, Sebastian Guentzel

“…For nearly all species, harvest rates exceeded the sustainable thresholds defined by BirdLife International. …”
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Spatial Downscaling of TRMM Precipitation Data Using an Optimal Subset Regression Model with NDVI and Terrain Factors in the Yarlung Zangbo River Basin, China by Jinping Liu, Wanchang Zhang, Ning Nie

“…Moreover, the spatial patterns of both precipitation rates of change and their corresponding p value statistics were consistent between the downscaled results and the original TRMM 3B43 during the 2001–2014 period, which verifies that the downscaling method performed well in the Yarlung Zangbo River Basin. …”
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