A Cross-Sectional Analysis of Oil Pulling on YouTube Shorts by Jun Yaung, Sun Ha Park, Shahed Al Khalifah

“…Future studies should explore viewer interpretation, behavioral influence, and cross-platform content patterns to better understand the impact of short-form health videos.…”
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Harnessing an Artificial Intelligence–Based Large Language Model With Personal Health Record Capability for Personalized Information Support in Postsurgery Myocardial Infarction: D... by Ting-ting Yang, Hong-xia Zheng, Sha Cao, Mei-ling Jing, Ju Hu, Yan Zuo, Qing-yong Chen, Jian-jun Zhang

“…Although postsurgical cardiac interventions have improved survival rates, effective management during recovery remains challenging. …”
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Identification of Immune-Related Risk Signatures for the Prognostic Prediction in Oral Squamous Cell Carcinoma by Chen Zou, Dahong Huang, Haigang Wei, Siyuan Wu, Jing Song, Zhe Tang, Xia Li, Yilong Ai

“…The two groups (high and low risk) stratified by the immune-related risk scores had significantly different OS and mortality rates. The gene expression patterns and prognostic values of these immune-related signatures were also verified in two independent validation cohorts. …”
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Exploring the association between socio-economic and environmental factors and food consumption in Iran: insights from time series data by Pegah Rahbarinejad, Seyyed Reza Sobhani, Negar Sangsefidi, Kiyavash Irankhah, Maryam Mohamadinarab

“…Key variables included urbanization rates, gross domestic product (GDP), food production, inflation, and precipitation, with food consumption measured in daily Adult Male Equivalent (AME) units and categorized into six dietary groups (including; grains, vegetables, fruits, dairy, fats, and meats). …”
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Hantavirus in rodents in the United States: Temporal and spatial trends and report of new hosts by Francisca Astorga, Abdelghafar Alkishe, Paanwaris Paansri, Gabriel Mantilla, Luis E. Escobar

“…This study can be considered a baseline to assess hantavirus patterns across host taxa, geographies, and seasons in the United States.…”
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The association between tumor-stromal collagen features and the clinical outcomes of patients with breast cancer: a systematic review by Samane Heydari, Fatemeh Tajik, Sadegh Safaei, Fereshteh Kamani, Babak Karami, Shima Dorafshan, Zahra Madjd, Roya Ghods

“…Stage III tumors exhibiting elevated collagen uniformity showed higher metastasis rates (p = 0.004), and HER2⁺ tumors with high collagen content correlated with resistance to HER2-targeted therapies (p < 0.05). …”
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Association between long-term atherogenic index of plasma and carotid atherosclerosis: a prospective cohort study of a health examination population by Hui Li, Jie Chen, Jie Duan, Chongyu Hu, Chaochao Tan, Jianqiao Peng

“…Kaplan-Meier curves and two-sided log-rank tests were used to compare cumulative rates of CAS progression.Results A significant positive association was observed between the AIP and increased CIMT, as well as carotid plaques (CPs). …”
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Kinematic alignment in Japanese patients shows significant improvement 2 years after total knee replacement surgery by Takao Yamamoto, Shigenobu Fukushima, Shuji Toyono, Takahiro Miyaji, Taku Nakajima, Yoshihiro Wanezaki, Takashi Ito

“…Two years after surgery, the rates of independent indoor walking and stair climbing were 89.6% and 58.9%, respectively. …”
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Prediction of future runoff in the Lancang River Basin based on CMIP6 under climate change by Kaidong Lu, Tingting Cui, Yintang Wang, Yong Liu, Xieyao Ma

“…Under four scenarios, future runoff is projected to increase at rates of 3.4 mm/10a, 1.7 mm/10a, 1.8 mm/10a e, and 2.5 mm/10a, respectively. …”
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Malware-SeqGuard: An Approach Utilizing LSTM and GRU for Effective Detection of Evolving Malware in Android Environments by Muhammad Usama Tanveer, Kashif Munir, Abdulatif Alabdulatif, Anas R. Najdawi, Rutvij H. Jhaveri

“…In this study, we introduce a state-of-the-art scheme for Android malware detection that combines the strengths of Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) networks. These advanced deep learning architectures are particularly adept at capturing sequential dependencies within data making them well-suited for analyzing complex time-series information, such as user behaviour patterns system logs and network traffic. …”
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TS-InSAR assessment of groundwater overexploitation-land subsidence linkage: Hengshui case study by Yan An, Qiang Shen, C.K. Shum, Fan Gao, Xu Zhang, Liming Jiang, Hansheng Wang

“…New hydrological insights for the region: Results show subsidence dominates in Hengshui City, with rates up to 141 mm/year (2017–2024), mainly due to falling confined aquifer heads and delayed aquitard drainage. …”
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Effect of nonpharmaceutical interventions on the epidemic trends of scarlet fever in China: a population-based surveillance and modelling study by Xiaojuan Zhang, Yuanhai You, Jie Liu, Lu Sun, Haijian Zhou, Xingxing Zhang, Bike Zhang

“…Dynamic changes in distribution pattern were explored through spatial autocorrelation analysis. …”
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Dual smart sensor data-based deep learning network for premature infant hypoglycemia detection by Muhammad Shafiq, J. Kavitha, Dhruva R. Rinku, N. K. Senthil Kumar, Kamal Poon, Amar Y. Jaffar, V. Saravanan

“…Based on features, the sorted-out data gets evaluated through a GRU-LSTM (Gated Recurrent Unit - Long Short-Term Memory) network to identify the state of the infant as usual and suggestive of hypoglycemia—blood glucose below 70 mg/dL, pale complexion, profuse perspiration. …”
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Transfer learning for securing electric vehicle charging infrastructure from cyber-physical attacks by Ahmad Almadhor, Shtwai Alsubai, Imen Bouazzi, Vincent Karovic, Monika Davidekova, Abdullah Al Hejaili, Gabriel Avelino Sampedro

“…The study also provides a comparison with different DL models such as Long Short-Term Memory (LSTM), Recurrent Neural Networks (RNN), Long Short-Term Memory-Recurrent Neural Networks (LSTM-RNN), and Gated Recurrent Unit (GRU). The CICEVSE2024 (EVSE-A and EVSE-B) datasets are used to assess the framework, where one dataset is used to train and store weights, and the second is used to evaluate the learned patterns using transfer learning. …”
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The global burden of chronic kidney disease due to diabetes mellitus type 2 attributable to diet high in sugar-sweetened beverages among the elderly: a comprehensive analysis from... by Ben Hu, Ben Hu, Xiaohan Qiu, Zhengbiao Luo, Zhengbiao Luo, Jingxiong Chen, Jun Feng, Jun Feng, Linlin Hou, Linlin Hou

“…However, the global burden of CKD-T2DM attributable to high SSB consumption among elderly populations remains poorly characterized.MethodsUsing data from the Global Burden of Disease Study 2021, we examined age-standardized mortality rates (ASMR) and disability-adjusted life year rates (ASDR) of CKD-T2DM attributable to high SSB consumption among individuals aged 60 years and older across 204 countries and territories from 1990 to 2021. …”
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Association between ECG Abnormalities and Hookah and Cigarette Smoking in the MASHAD Cohort Study Subjects by Maryam Mohammadi-Bajgiran, Reyhaneh Saffar-Khorasani, Muhammad Islampanah, Reza Nejad Shahrokh Abadi, ‌Bahram Shahri, Sara Saffar Soflaei, Souren Nemati-Khorasani, Habibollah Esmaily, Gordon Ferns, Mohsen Moohebati, Majid Ghayour-Mobarhan

“…Cigarette users (92.3% male) had significantly lower BMI and higher employment rates compared to non-smokers, whereas hookah smokers (90.2% female) had higher BMIs and were predominantly retirees. …”
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Optimizing Effects of Organic Farming and Moderately Low Nitrogen Levels on Soil Carbon and Nitrogen Pools by Guanghua Wang, Yu Yang, Yuqi Chen, Shilong Yu, Xiaomin Huang, Min Jiang, Zujian Zhang, Lifen Huang

“…Therefore, a field trial was conducted to elucidate the impacts of different cultivation patterns and nitrogen application rates on soil carbon and nitrogen pools, especially on how these factors affect the components of soil organic carbon. …”
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Role of TRP channels and HSPs in thermal stress response in the aphid parasitoid Aphelinus asychis (Hymenoptera: Aphelinidae) by Xiang LIU, Zhi-wei KANG, Xing-lin YU, Fan LI, Tong-xian LIU, Qiang LI

“…The results showed that the maximum temperature that allowed A. asychis survival was approximately 41°C; females had higher survival rates than that of the males at 40 and 41°C. Short-term heat-shock resulted in increased expression of Aasyshsp in males, and Aasyhsp40, Aasyhsp68, Aasyhsp70-4, Aasyhsp70-5 and Aasyhsp90 were upregulated and then downregulated, whereas Aasyhsp70-3 was upregulated at 41°C. …”
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A Permutation Entropy Method for Sleep Disorder Screening by Cristina D. Duarte, Marcos M. Meo, Francisco R. Iaconis, Alejandro Wainselboim, Gustavo Gasaneo, Claudio Delrieux

“…We propose that the fractal scaling exponent of permutation entropy time series serves as a robust biomarker of pathological sleep patterns, capturing alterations in brain dynamics across multiple disorders. …”
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Laboratory based antimicrobial resistance surveillance for Pseudomonas aeruginosa blood isolates from South Africa by Ashika Singh-Moodley, Adriano Duse, Preneshni Naicker, Ranmini Kularatne, Trusha Nana, Ruth Lekalakala, Nontombi Mbelle, Halima Dawood, Khine Swe Swe Han, Praksha Ramjathan, Prathna Bhola, Andrew Whitelaw, Olga Perovic

“…Pseudomonas aeruginosa is an opportunistic healthcare-associated pathogen with high rates of morbidity and mortality and an extensive range of resistance mechanisms. …”
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