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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Race, gender and stroke subtypes mortality in São Paulo, Brazil Raça, gênero e mortalidade por subtipos da doença cerebrovascular em São Paulo, Brasil by Paulo A. Lotufo, Alessandra C. Goulart, Isabela M. Bensenor

“…For women, the rates were lower compared to men and the same pattern was observed among Black (125.4), Mixed (88.5) and White (64.1) women. …”
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Contributions of District Health Information Software 2 (DHIS2) to maternal and child health service performance in Ethiopia: an interrupted time series mixed-methods study by Taddese Alemu Zerfu, Moges Asressie, Amare Abera Tareke, Zenebu Begna, Tigist Habtamu, Netsanet Werkneh, Tariku Nigatu, Meskerem Jisso, Addisalem Genta

“…Specifically, DHIS2 led to increased monthly mean performance of key indicators such as antenatal care visits, skilled birth attendance, and immunization rates. Notable improvements in service delivery were observed, with significant increases in institutional delivery rates over time. …”
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Global, regional, and national burdens of traumatic brain injury, spinal cord injury, and skull fracture and their attributable risk factors from 1990 to 2021: a systematic analysi... by Yikang Wang

“…Data were presented as both numerical counts and age-standardized rates (ASRs) per 100,000 population, with corresponding uncertainty intervals. …”
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Relevance of Cellular Homeostasis-Related Gene Expression Signatures in Distinct Molecular Subtypes of Breast Cancer by Sharda P. Singh, Chathurika S. Dhanasekara, Michael W. Melkus, Chhanda Bose, Sonia Y. Khan, Flavia Sardela de Miranda, Maria F. Mahecha, Prrishti J. Gukhool, Sahil S. Tonk, Se-Ran Jun, Sahra Uygun, Rakhshanda Layeequr Rahman

“…This study aimed to identify the gene expression patterns and biomarkers associated with breast cancer risk and progression by integrating transcriptomic and clinical data. …”
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Multi-omics derivation of a core gene signature for predicting therapeutic response and characterizing immune dysregulation in inflammatory bowel disease by Mingming Wang, Liping Liang, Zibo Tang, Jimin Han, Lele Wu, Le Liu, Le Liu, Ye Chen, Ye Chen

“…Nomogram-based risk stratification effectively predicted biologic treatment responses across multiple therapeutic classes using four independent treatment datasets (GSE16879, GSE92415, GSE73661, GSE206285): low-risk patients demonstrated superior response rates to golimumab (63.3%), infliximab (54.8%), and vedolizumab (29% vs. 15% in high-risk group). …”
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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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A Dynamic Spatio-Temporal Deep Learning Model for Lane-Level Traffic Prediction by Bao Li, Quan Yang, Jianjiang Chen, Dongjin Yu, Dongjing Wang, Feng Wan

“…The temporal features are extracted with the gated recurrent unit (GRU). Then, we adaptively fuse spatial and temporal features with the gating mechanism to get the final spatio-temporal features for lane-level traffic prediction. …”
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Impact of COVID-19 on Ureteroscopy Management of Urolithiasis: Retrospective Comparative Study Before and After Pandemic by Shota Iijima, Takanobu Utsumi, Naoki Ishitsuka, Takahide Noro, Yuta Suzuki, Yuka Sugizaki, Takatoshi Somoto, Ryo Oka, Takumi Endo, Naoto Kamiya, Hiroyoshi Suzuki

“…Referral sources shifted (<i>p</i> = 0.045), with fewer primary care referrals and more from emergency or higher-level hospitals. Stone-free rates (65.6% vs. 58.7%, <i>p</i> = 0.128) and postoperative complication rates were comparable. …”
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Potential suitable area prediction of invasive weeds Tithonia diversifolia A. Gray and Synedrella nodiflora L. Gaertn. in China based on the optimized MaxEnt model by Jing XIE, Nishan DUAN, Lijie KONG, Ruiyi XU, Ruoyu AN, Lijuan ZHOU

“…ResultThe standard deviation of temperature seasonal change and the average temperature in the coldest quarter were the main environmental variables affecting the distribution of T. diversifolia, and the sum of their contribution rates reached 70.8%. The range of annual average temperature change, annual average precipitation and precipitation in the wettest month were the main environmental variables affecting the distribution of S. nodiflora, with the sum of their contribution rates reaching 76.7%. …”
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Perception of quality and adoption of health-preventive measures in gym-goers after the COVID-19 pandemic peak in Italy by L Falese, E Langiano, M Ferrara, P Diotaiuti, A Rodio, T Di Libero, A Andrade, E De Vito

“…Participants generally rated the gym positively, with 34.49% considering it "Good" and 39.23% rating it "Very good." …”
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Associations between 24-hour movement guidelines and health-related quality of life among urban preschool children in Singapore, Japan, and China by Ho Jin Chung, Hyunshik Kim, Jiameng Ma, Terence Chua, Seow Ting Low, Dan Li, Hongzhi Guo, Michael Yong Hwa Chia

“…Notably, Chinese children had the highest adherence rates across all individual and combined movement behaviors. …”
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Global burden of diabetes mellitus 1990–2021: epidemiological trends, geospatial disparities, and risk factor dynamics by Ciming Pan, Beiling Cao, Hui Fang, Yelu Liu, Shuhan Zhang, Wei Luo, Yuanjie Wu

“…Diabetes mellitus(DM) remains a significant global health challenge, characterized by high incidence and Disability-adjusted life years (DALYs) rates. A comprehensive understanding of the disease burden of DM is crucial for developing effective prevention and treatment strategies. …”
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Critical review of healthcare financing and a survey of system quality perception among healthcare users in Nigeria (2010-2023). by Blessing Osagumwendia Josiah, Emmanuel Chukwunwike Enebeli, Brontie Albertha Duncan, Prisca Olabisi Adejumo, Chinelo Cleopatra Josiah, Lordsfavour Anukam, Muhammad Baqir Shittu, France Ncube, Kelechi Eric Alimele, Mercy Emmanuel, Oyinye Prosper Martins-Ifeanyi, Fawole Israel Opeyemi, Oluwadamilare Akingbade, Abosede Peace Adebayo, Busiroh Mobolape Ibraheem, Ubiebo Ataisi Ekenekot, Mudiaga Sidney Edafiejire, Solomon Oluwaseun Olukoya, Ufuomaoghene Jemima Mukoro, Siyouneh Baghdasarian, Joy Chioma Obialor, Gloria Oluwakorede Alao, Blessing Onyinye Obialor, Ndidi Louis Otoboyor, Oghosa Gabriel Josiah, Joshua Okonkwo, Precious Ebinehita Imoyera, Ajao Adewale Gbolabo, Blessing Chiamaka Nganwuchu, Olukayode Joseph Oladimeji, Timothy Wale Olaosebikan, Marios Kantaris

“…Results show that the average rating of healthcare experiences did not vary significantly over the last decade. …”
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The prevalence of behavioral non- communicable diseases risk factors among black Africans in peri-urban community in South Africa by Sifundile Zamazulu Maphumulo, Gerrit Jan Breukelman, Brandon Shaw, Ina Shaw

“…While females reported lower smoking rates, they exhibited higher levels of physical inactivity than males (23% vs. 14%). …”
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Trends in stroke incidence and mortality in China, Japan, and South Korea (1990–2021) with projections to 2035 by Liyuan Yang, Luhan Fan, Yuanyi Cao, Xinyao Liu, Chao Yang, Yamei Luo, Junhui Zhang

“…From 1990 to 2021, the age-standardised incidence rates (ASIRs) and mortality rates (ASMRs) of stroke for both sexes in China, Japan, and South Korea declined. …”
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Examining a brief web and longitudinal app-based intervention [Wysa] for mental health support in Singapore during the COVID-19 pandemic: mixed-methods retrospective observational... by Chaitali Sinha, Dyuthi Dinesh, Creighton Heaukulani, Ye Sheng Phang

“…Users who used the longitudinal intervention after first using a brief intervention demonstrated significantly higher engagement and retention (P &lt; 0.001). In user ratings received for mindline.sg (n = 8,959), 83.03% rated the app 3 or higher (out of 5) on helpfulness. 91.6% of the users (n = 862) who attempted cognitive restructuring (n = 790) on the app successfully reframed a thought. …”
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Global, regional, and national epidemiology of type 1 diabetes in children from 1990 to 2021: trend and health inequality analyses based on the Global Burden of Disease Study 2021 by Jing Xie, Weilan Li, Xiaomin Li, Xueli Zhang, Jing Liu, Zeye Liu, Shenqi Jing, Hua Shao

“…Assessing the epidemiological patterns and health inequalities associated with T1D at the global, regional, and national levels, along with future projections, is essential for informing equitable public health policies. …”
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