Prognostic Indicators and Comparative Treatment Outcomes in High-Risk Thyroid Cancer with Laryngotracheal Invasion by Eman A. Toraih, Jessan A. Jishu, Mohammad H. Hussein, Aly A. M. Shaalan, Manal S. Fawzy, Emad Kandil

“…We aimed to analyze patterns and predictors/outcomes related to this high-risk manifestation. …”
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CRYPTOCURRENCY TIME SERIES FORECASTING MODEL USING GRU ALGORITHM BASED ON MACHINE LEARNING by Melina Melina, Sukono Sukono, Herlina Napitupulu, Norizan Mohamed, Yulison Herry Chrisnanto, Asep ID Hadiana, Valentina Adimurti Kusumaningtyas

“…The high fluctuation and volatility of cryptocurrency prices and the complexity of non-linear relationships in data patterns attract investors and researchers who want to develop accurate cryptocurrency price forecasting models. …”
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Predicting hydrocarbon reservoir quality in deepwater sedimentary systems using sequential deep learning techniques by Xiao Hu, Jun Xie, Xiwei Li, Junzheng Han, Zhengquan Zhao, Hamzeh Ghorbani

“…Three sequential deep learning models—Recurrent Neural Network and Gated Recurrent Unit—were developed and optimized using the Adam algorithm. …”
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Effect of cholesterol on distribution, cell uptake, and protein corona of lipid microspheres at sites of cardiovascular inflammatory injury by Lingyan Li, Xingjie Wu, Qianqian Guo, Yu'e Wang, Zhiyong He, Guangqiong Zhang, Shaobo Liu, Liping Shu, Babu Gajendran, Ying Chen, Xiangchun Shen, Ling Tao

“…Then, the slow cellular uptake rate observed for CH@LM contributed to a prolonged duration of drug efficacy. …”
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MSA-GCN: Exploiting Multi-Scale Temporal Dynamics With Adaptive Graph Convolution for Skeleton-Based Action Recognition by Kowovi Comivi Alowonou, Ji-Hyeong Han

“…On the other hand, the TMST module integrates a Gated Multi-stage Temporal Convolution (GMSTC) with a Temporal Multi-Head Self-Attention (TMHSA) to capture global temporal features and accommodate both long-term and short-term dependencies within action sequences. …”
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Improving the prediction of streamflow in large watersheds based on seasonal trend decomposition and vectorized deep learning models by Ningchang Kang, Zhaocai Wang, Anbin Zhang, Hang Chen

“…These components are then modeled independently: long short-term memory (LSTM) and convolutional neural networks (CNN) handle trend and seasonal patterns, while gated recurrent units (GRU) and Transformer process residual fluctuations. …”
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Collective and individual adaptation of rice farmers to climatic variability in the Vietnamese Mekong Delta by Hieu Hong Hua, Minh Anh Nguyen, Thuy Thanh Thi Ngo

“…It systematically explores the patterns of climate variability and their profound impacts on rice production across diverse areas within the delta. …”
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Cancelable Multi-Branch Deep Learning Framework for Privacy-Preserving ECG Biometric Authentication by Mohamed Hammad, Ali Abdullah S. AlQahtani, Mohammed ELAffendi, Abdelhamied A. Ateya, Nebojsa Bacanin

“…Electrocardiogram (ECG) biometrics are particularly effective because of the unique electrical activity patterns of the heart. However, storing and processing raw ECG data raises privacy and security concerns, requiring advanced methods to safeguard user data. …”
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Distribution and Antimicrobial Resistance Analysis of Blood Culture Isolates at a Chinese National Cardiovascular Regional Medical Center: A 7-Year Retrospective Study by Wang Q, Wu F, Li T

“…Among Staphylococcus isolates, methicillin-resistant Staphylococcus aureus (MRSA) and methicillin-resistant coagulase-negative Staphylococci (MRCNS) were identified at rates of 51.6% and 88.7%, respectively. The carbapenem resistance rates of K. pneumoniae and E. coli were 28.8% and 4.0%, respectively. …”
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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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Space–Time Dynamics of Mortality and Recruitment of Stems and Trees in a Seasonally Dry Tropical Forest: Effect of the 2012–2021 Droughts by Maria Beatriz Ferreira, Rinaldo Luiz Caraciolo Ferreira, Jose Antonio Aleixo da Silva, Robson Borges de Lima, Alex Nascimento de Sousa, Marcos Vinícius da Silva

“…An accumulative effect of droughts on increasing mortality rates and reducing recruitment during the study period was observed. …”
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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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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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