Analysis of the molecular nature associated with microsatellite status in colon cancer identifies clinical implications for immunotherapy by Wei Wu, Qihan Fu, Lulu Liu, Yi Zheng, Hangyu Zhang, Peng Zhao, Weijia Fang, Xuanwen Bao, Shaobing Cheng, Xiaomeng Dai, Xudong Zhu, Zhou Tong, Fanglong Liu

“…A receiver operating characteristic curve was used to evaluate the accuracy rate of neural network, reaching 100%.Conclusion Our analysis unraveled the difference in the molecular nature and genomic variance in MSI and MSS colon cancer. …”
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Gut Microbiome Alterations, Mental Health, and Alcohol Consumption: Investigating the Gut–Brain Axis in Firefighters by Ji Youn Yoo, Anujit Sarkar, Hyo-Sook Song, Sunghwan Bang, Gyusik Shim, Cary Springer, Morgan E. O’Brien, Yoonhwa Shin, Songhyun Ju, Sunhee Han, Sung Soo Kim, Usha Menon, Tae Gyu Choi, Maureen E. Groer

“…There were associations between alcohol consumption patterns and aspects of the gut microbiome. This study highlights the mental health challenges faced by firefighters, including elevated rates of PTSD, depression, and alcohol consumption, with specific microbial imbalances linked to PTSD and alcohol use, emphasizing the role of the gut–brain axis.…”
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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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Leveraging U-Net and ASPP for effective fault detection in photovoltaic modules by Khalfalla Awedat, Masoud Alajmi, Mustafa Elfituri

“…Additionally, the U-Net-ASPP_Cent and U-Net-ASPP_Diag configurations provided IoU gains of 1.18% and 1.96%, respectively, while also reducing false positive rates. These results highlight the effectiveness of incorporating region-specific dilation strategies, enhancing the model’s ability to detect diverse and challenging fault patterns in complex thermal imagery. …”
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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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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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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

“…Results From 1990 to 2021, the global incidence and prevalence of T1D increased significantly, by 32.04% and 41.47%, respectively, whereas the global DALY and mortality rates decreased by 18.33% and 24.83%, respectively. …”
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The burden of migraine and predictions in the Asia–Pacific region, 1990–2021: a comparative analysis of China, South Korea, Japan, and Australia by Yun-Xia Wang, Guang-Shuang Lu, Jin-Jing Zhao, Wei Dai, Na Zheng, Guo-En Yao, Ruo-Zhuo Liu

“…Methods This study utilized data from the Global Burden of Disease (GBD) 2021 to analyze incidence, prevalence, and years lived with disability (YLDs) of migraine. Age-standardized rates (ASRs) were calculated to enable fair cross-country comparisons. …”
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Effect of Resource Abundance on Woodland Rodents' Demography at Latitudinal Extremes in Europe by Giulia Ferrari, Olivier Devineau, Valentina Tagliapietra, Kaja Johnsen, Federico Ossi, Francesca Cagnacci

“…We applied a multistate open robust design model to estimate population patterns and survival rates while controlling for seasonal variation, intrinsic traits, and co‐occurrence of sympatric species. …”
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Maternal asthma and newborn DNA methylation by Casper-Emil Tingskov Pedersen, Thanh T. Hoang, Jianping Jin, Anna Starnawska, Raquel Granell, Hannah R. Elliott, Anke Huels, Heather J. Zar, Dan J. Stein, Yining Zhang, Herman T. den Dekker, Liesbeth Duijts, Janine F. Felix, Júlia Sangüesa, Mariona Bustamante, Maribel Casas, Martine Vrijheid, Latha Kadalayil, Faisal I. Rezwan, Hasan Arshad, John W. Holloway, Stefan Röder, Ana C. Zenclussen, Gunda Herberth, Nicklas Heine Staunstrup, Henriette Thisted Horsdal, Jonathan Mill, Eilis Hannon, iPSYCH-MINERvA Group, Isabella Annesi-Maesano, Giancarlo Pesce, Nour Baïz, Barbara Heude, Sahra Hosseinian-Mohazzab, Carrie V. Breton, Sophia Harlid, Justin Harbs, Magnus Domellof, Christina West, Edwina Yeung, Xuehuo Zeng, Wenche Nystad, Siri E. Håberg, Maria C. Magnus, Diana Schendel, Stephanie J. London, Klaus Bønnelykke

“…Results We identified 27 CpGs associated with maternal asthma during pregnancy at False Discovery Rate < 0.05 but none for maternal asthma ever. Two distinct CpGs were associated with paternal asthma. …”
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Mapping of the Antinuclear Autoantibodies in Sudanese patients infected with Human Immunodeficiency Virus after HAART receiving: A cross-sectional study by Nooh Mohamed Hajhamed, Salahaldeen Ismail Mohammed, Waleed Abdelateif Hussein, Abdullah M. Bakheit, Nouh Saad Mohamed, Ayman Azhary, Abdallah Elssir Ahmed, Abualgasim Elgaili Abdalla, Abubakar Abdelbagi, Hassan Babieker Said Khalf Allah, Mahjoob Osman Mahjoob Ali, Mohammed Elfatih Hamida

“…Interestingly, a high proportion of positivity for ANA were found in the older subject groups (aged 42-56 years and > 57 years), with rates of 80% for each. Furthermore, our study also showed that the predominant ANA patterns were nuclear fine-speckled (AC-4, 56.5%) followed by cytoplasmic fine granules (AC-20, 24.7%). …”
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Innovative deep learning classifiers for breast cancer detection through hybrid feature extraction techniques by S. Vijayalakshmi, Binay Kumar Pandey, Digvijay Pandey, Mesfin Esayas Lelisho

“…Abstract Breast cancer remains a major cause of mortality among women, where early and accurate detection is critical to improving survival rates. This study presents a hybrid classification approach for mammogram analysis by combining handcrafted statistical features and deep learning techniques. …”
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Overweight and Helicobacter pylori infection: a correlation in metabolic dysfunction-associated fatty liver disease by Xu Chen, Jiayue Fu, Jiayue Fu, Kejia Jin, Kejia Jin, Zixuan Yang, Zixuan Yang, Yidan Qian, Yidan Qian, Kehan Mei, Yihan Wang, Jialei Min, Yilin Du, Zaisheng Zhu, Zaisheng Zhu, Shengcun Li, Shengcun Li

“…Therefore, eradication of H. pylori infection may have positive implications for reducing the incidence rate of overweight MAFLD.…”
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Recent advances in tumor targeted polymeric nanoparticles for HNC treatment: Enhancing therapeutic efficacy via engineered and biocompatible drug delivery systems by Manoj Kumar Srinivasan, Monisha Prasad

“…Head and neck cancer (HNC) represents a heterogeneous group of malignancies with high global incidence and mortality rates. Traditional treatments for advanced HNC, such as combined radiotherapy and chemotherapy, often lead to debilitating long-term side effects that significantly affect patients quality of life. …”
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A novel design for continuous measurement of CO2 from deep remineralization of petrogenic organic carbon by Wan‐Yin Lien, Rick Chen, Jui‐Fen Tsai, Jhen‐Nien Chen, Li‐Hung Lin, Pei‐Ling Wang

“…Measurements in the passive mode yielded stepwise CO2 releases in the fractured zone and steady accumulation in the pulverized zone at rates (18.9–132 mgC m−2 day−1) resembling those for other active orogens. …”
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Prexion: Probabilistic Matching-Based Compression to Mitigate Compression Side Channel Attacks Against HTTPS by Hyoungshick Kim, Sangwon Hyun

“…Furthermore, Prexion ensures robust security, with attack success rates consistently below 5% under recommended configurations.…”
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Employing Data Mining Techniques and Machine Learning Models in Classification of Students’ Academic Performance. by Hussein, Alkattan, Alhumaima, Ali Subhi, Oluwaseun, Adelaja A., Abotaleb, Mostafa, Mijwil, Maad M., Pradeep, Mishra, Sekiwu, Denis, Bamwerinde, Wilson, Turyasingura, Benson

“…The results showed that the use of decision trees can effectively classify students' performance and determine the success and failure rates. The cruel outright mistakes, RMS errors, and relative supreme mistakes all showed 0% whereas the kappa esteem obtained from the analysis extended between 0.991 and 1.00 which significantly concurs with most statistical values.…”
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