Clinical Outcome and Molecular Profile in Patients with <i>DDX41</i> Mutation Hot-Spots by Nadia Toumeh, Yazan Jabban, Ahmad Nanaa, Rong He, David Viswanatha, Dragan Jevremovic, James M. Foran, Cecilia Y. Arana Yi, Antoine N. Saliba, Mehrdad Hefazi Torghabeh, William J. Hogan, Mithun V. Shah, Abhishek A. Mangaonkar, Mrinal M. Patnaik, Hassan B. Alkhateeb, Aref Al-Kali

“…Germline and somatic mutations often have different locations and patterns of mutation, with some hotspots displaying diversity based on ethnicity. …”
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Quantifying Objective and Perceived Image Quality Through EEG and Eye-Tracking by Changhyun Lim, Hyun-Jun Jeon, Woojae Jung, Youngshin Kwak, Myong Young Lee, Jung Hyun Ham, Hyun Bin Joo, Oh-Sang Kwon, Dongil Chung

“…Individuals&#x2019; pupil diameter successfully tracked (cluster-based permutation p &#x003C;0.05) both objective and subjective perspectives of image quality. These patterns highlight both the shared characteristics and measurable distinctions between objective image quality and subjective vividness ratings. …”
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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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MultiRepPI: a cross-modal feature fusion-based multiple characterization framework for plant peptide-protein interaction prediction by Yu Zhiguo, Li Zixuan, Li Peng

“…Secondly, bi-directional attention and PepPI gating mechanisms were used to design the cross-modal attention module (CMA), which deeply mines the key interaction patterns between peptides and proteins, and enhances the ability of the model to focus on important binding sites. …”
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Causal inference-based graph neural network method for predicting asphalt pavement performance by CHEN Kai;WANG Xiaohe;SHI Xinli;CAO Jinde

“…The global feature extraction module employs attention mechanisms and gated recurrent units(GRU) to capture long-term temporal dependencies within variables. …”
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Verification of a Probabilistic Model and Optimization in Long-Range Networks by José Luis Romero Vázquez, Abel García-Barrientos, José Alberto Del-Puerto-Flores, Francisco R. Castillo Soria, Roilhi F. Ibarra-Hernández, Ulises Pineda Rico, Ernesto Zambrano-Serrano

“…The proposed model integrates multiple critical factors, including packet arrival rates, transmission power levels, and the distance between transmitting nodes and the gateway. …”
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Symptom Trajectories and Clinical Subtypes in Post–COVID-19 Condition: Systematic Review and Clustering Analysis by Mingzhi Hu, Tian Song, Zhaoyuan Gong, Qianzi Che, Jing Guo, Lin Chen, Haili Zhang, Huizhen Li, Ning Liang, Guozhen Zhao, Yanping Wang, Nannan Shi, Bin Liu

“…Asia and Europe documented the most comprehensive symptom profiles, with Asia reporting lower early dyspnea rates (29%, 95% CI 18%‐40%) and Europe exhibiting more complex multisystem involvement during long-term follow-up. …”
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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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Prevalence and associated factors of adherence to antihypertensive medication: a nationwide cross-sectional study by Muhammad Arshed, Mehwish Kiran, Muhammad Farooq Umer, Jamil Adnan Samkari, Syed Mehmood ul hassan, Shafqat Qamer, Ali Hassan Gillani, Sajid Hameed, Waseela Ashraf, Hasan Mujtaba, Muhammad Naseem Khan

“…Conclusion These findings highlight the complex interplay of demographics, medication patterns, and economic factors in medication adherence with very low adherence rates in Pakistan. …”
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Comparison of efficacy and safety between surgical and conservative treatments for hemorrhoids: a meta-analysis by Longfang Quan, Xuelian Bai, Fang Cheng, Jin Chen, Hangkun Ma, Pengfei Wang, Ling Yao, Shaosheng Bei, Xiaoqiang Jia

“…Surgery achieved higher rates of complete symptom resolution than conservative therapy (OR = 2.96, 95% CI: 1.66–5.28, p < 0.001). …”
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Trends and disparities in tuberculosis burden in Kazakhstan and Mongolia (2017–2021): a comparative analysis using GBD metrics by Oyunzul Amartsengel, Malika Idayat, Alexander Rommel, Natalya Glushkova, Kairat Davletov, Malik Adenov, Naranzul Dambaa, Lkhagvasuren Khorolsuren, Elena von der Lippe

“…Research highlights the importance of assessing the impact of TB on global morbidity statistics, given its status as a prominent contributor to global morbidity rates and the cause of over a million deaths annually. …”
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Associations of Protein Classes With Cross-Reactivity and Cross-Sensitization in Furry Animal Allergens: A Component-Resolved Diagnostics Study by Lu J, Zhu H, Yang Q, Xu Y, Huang Z, Sun B

“…Inhibition tests using serum albumin (SA) and lipocalin proteins were performed.Results: Sensitization rates of crude extracts from other furry animals ranged from 16.8% to 49.5%. …”
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A tale of two heatwaves: variable daily growth and a broad diet enable neustonic larval cabezon to thrive during warm oceanic conditions by Megan N. Wilson, Megan N. Wilson, Richard D. Brodeur, Toby D. Auth, G. Curtis Roegner, Cheryl A. Morgan, Samantha M. Zeman, Su Sponaugle

“…Findings include the first published measurement of larval cabezon daily growth rates. Mean growth rates were higher during MHWs, suggesting that elevated temperatures did not pose a major growth or survival challenge. …”
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Global burden of atrial fibrillation and atrial flutter due to high alcohol use from 1990 to 2021: estimates from the global burden of disease study 2021 by Xiaoming Wang, Changzheng Chen, Zhihua Yang, Yu Chen, Jun Fan, Renchun Tang, Yankun Shi, Lixia Yang

“…Methods We extracted GBD 2021 estimates on deaths, disability-adjusted life years (DALYs), and age-standardized rates (ASRs) for AF/AFL due to high alcohol use across 204 countries. …”
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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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Insights from the Biorepository and Integrative Genomics pediatric resource by Silvia Buonaiuto, Franco Marsico, Akram Mohammed, Lokesh K. Chinthala, Ernestine K. Amos-Abanyie, Regeneron Genetics Center, Pjotr Prins, Khyobeni Mozhui, Robert J. Rooney, Robert W. Williams, Robert L. Davis, Terri H. Finkel, Chester W. Brown, Vincenza Colonna

“…We observe ancestry-specific rates of novel genetic variants, which are enriched for functional or clinical relevance. …”
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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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Scalability analysis of heavy-duty gas turbines using data-driven machine learning by Shubhasmita Pati, Julian D. Osorio, Mayank Panwar, Rob Hovsapian

“…The ML model, trained on data from various operating conditions and performance parameters, aims to uncover intricate relationships and patterns, resembling GT characteristics at different scales (ratings). …”
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Consensus-Driven Development of an Exercise Base Manual Programme for Prediabetic Patients: A Delphi Study by Hafeez S, Shakil-Ur-Rehman S, Riaz S, Hafeez S, Hafeez JS, Mumtaz H

“…Initial recommendations were rated by panalists through a 5-point Likert scale. …”
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