Dysbiosis of gut microbiota in COVID-19 is associated with intestinal DNA phage dynamics of lysogenic and lytic infection by Aya Ishizaka, Azumi Tamura, Michiko Koga, Taketoshi Mizutani, Seiya Yamayoshi, Kiyoko Iwatsuki-Horimoto, Atsuhiro Yasuhara, Shinya Yamamoto, Hiroyuki Nagai, Eisuke Adachi, Yutaka Suzuki, Yoshihiro Kawaoka, Hiroshi Yotsuyanagi

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Characterizing the microstructural transition at the gray matter-white matter interface: Implementation and demonstration of age-associated differences by Joan Y Song, Roman Fleysher, Kenny Ye, Mimi Kim, Molly E Zimmerman, Richard B Lipton, Michael L Lipton

“…We identified statistically significant associations of FA slope with age in all regions (p < 0.002 for all analyses), with FA slope magnitude inversely associated with higher age. …”
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Plasma YKL-40 Elevation on Admission and Follow-Up Is Associated with Diastolic Dysfunction and Mortality in Patients with Acute Myocardial Infarction by Selcuk Pala, Munevver Sari, Gokhan Kahveci, Elnur Alizade, Ugur Arslantas, Abdulkadir Uslu

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A study to correlate the association of Gender, Age, Physiology (GAP) index and radiological patterns in interstitial lung disease by Aditya Shashi Bhushan, B L Shashibhushan, K Ashwin

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Using a robust model to detect the association between anthropometric factors and T2DM: machine learning approaches by Nafiseh Hosseini, Hamid Tanzadehpanah, Amin Mansoori, Mostafa Sabzekar, Gordon A. Ferns, Habibollah Esmaily, Majid Ghayour-Mobarhan

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Harnessing genomic and bioinformatic data to broaden understanding of leukaemia across continents by Gumelar Gugun, Ulfa Mia Maria, Amukti Danang Prasetyaning, Irham Lalu Muhammad, Yuliani Sapto, Adikusuma Wirawan, Khairi Sabiah, Darmawi Darmawi, Chong Rockie, Ates Ilker, Singh Dilpreet, Chavan Aditya Ashok

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Fused Supernumerary Kidneys with S-shaped Configuration: A Case Series by Sai Shankar Mankuzhy Gopalakrishnan, Jenikar Paulraj, R Remya, Nillohit Saha, Harshavardhan Balaganesan

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Munsell Soil Colour Prediction from the Soil and Soil Colour Book Using Patching Method and Deep Learning Techniques by Sadia Sabrin Nodi, Manoranjan Paul, Nathan Robinson, Liang Wang, Sabih ur Rehman, Muhammad Ashad Kabir

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Adolescent and adult mice use both incremental reinforcement learning and short term memory when learning concurrent stimulus-action associations. by Juliana Chase, Liyu Xia, Lung-Hao Tai, Wan Chen Lin, Anne G E Collins, Linda Wilbrecht

“…Computational modeling has revealed that human research participants use both rapid working memory (WM) and incremental reinforcement learning (RL) (RL+WM) to solve a simple instrumental learning task, relying on WM when the number of stimuli is small and supplementing with RL when the number of stimuli exceeds WM capacity. …”
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Multimedia: multimodal mediation analysis of microbiome data by Hanying Jiang, Xinran Miao, Margaret W. Thairu, Mara Beebe, Dan W. Grupe, Richard J. Davidson, Jo Handelsman, Kris Sankaran

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Frequency-specific changes in prefrontal activity associated with maladaptive belief updating in volatile environments in euthymic bipolar disorder by Marina Ivanova, Ksenia Germanova, Dmitry S. Petelin, Aynur Ragimova, Grigory Kopytin, Beatrice A. Volel, Vadim V. Nikulin, Maria Herrojo Ruiz

“…Alterations in frequency-domain amplitude and functional connectivity within the PFC, OFC, and ACC during belief updating underlie the computational effects and could serve as potential indicators for predicting relapse in future research.…”
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About simulation environment for modeling the Internet of Things components and applications using visual flow-based programming tools and cloud services by A. A. Andrushevich, I. S. Vojteshenko, O. Ju. Emelianova

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The probability of detecting host-specific microbial source tracking markers in surface waters was strongly associated with method and season by Claire M. Murphy, Daniel L. Weller, Tanzy M. T. Love, Michelle D. Danyluk, Laura K. Strawn

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scCamAge: A context-aware prediction engine for cellular age, aging-associated bioactivities, and morphometrics by Vishakha Gautam, Subhadeep Duari, Saveena Solanki, Mudit Gupta, Aayushi Mittal, Sakshi Arora, Anmol Aggarwal, Anmol Kumar Sharma, Sarthak Tyagi, Rathod Kunal Pankajbhai, Arushi Sharma, Sonam Chauhan, Shiva Satija, Suvendu Kumar, Sanjay Kumar Mohanty, Juhi Tayal, Nilesh Kumar Dixit, Debarka Sengupta, Anurag Mehta, Gaurav Ahuja

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THE SNP-MED SYSTEM FOR ANALYSIS OF THE EFFECT OF SINGLE-NUCLEOTIDE POLYMORPHISMS ON THE FUNCTION OF GENES ASSOCIATED WITH SOCIALLY SIGNIFICANT DISEASES by N. L. Podkolodnyy, D. A. Afonnikov, Yu. Yu. Vaskin, L. O. Bryzgalov, V. A. Ivanisenko, P. S. Demenkov, M. P. Ponomarenko, D. A. Rasskazov, K. V. Gunbin, I. V. Protsyuk, I. Yu. Shutov, P. N. Leontyev, M. Yu. Fursov, N. P. Bondar, E. V. Antontseva, T. I. Merkulova, N. A. Kolchanov

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Identification of Proteins and Genes Associated with Hedgehog Signaling Pathway Involved in Neoplasm Formation Using Text-Mining Approach by Nadezhda Yu. Biziukova, Sergey M. Ivanov, Olga A. Tarasova

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Urinary phthalate metabolites associated with increased prevalence of gallstone disease in U.S. adults: data from the NHANES study by Feng Jia, Yu Chang, Yuguang Li, Fangqi Li, Xinqiao Chen, Xiangliang Liu, Wei Li, Jiuwei Cui

“…Multivariable logistic regression model was to assess individual exposure-effect associations. Weighted quantile sum (WQS) regression, Quantile g-computation (Qgcomp) analysis and Bayesian kernel machine regression (BKMR) assessed metabolite mixtures in relation to gallstones. …”
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Clinical and ultrasound characteristics in patients with sars-cov-2 pneumonia, associated with hospitalization prognosis. e-covid project by Noemí Fàbrega Ramon, Marta Ortega Bravo, Gerard Torres Cortada, Joaquim Sol Culleré, Mònica Solanes Cabús, Jose María Palacín Peruga

“…Abstract Background During the COVID-19 pandemia, the imaging test of choice to diagnose COVID-19 pneumonia as chest computed tomography (CT). However, access was limited in the hospital setting and patients treated in Primary Care (PC) could only access the chest x-ray as an imaging test. …”
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Risk of aortic aneurysm or dissection following use of fluoroquinolones: a retrospective multinational network cohort studyResearch in context by Jack L. Janetzki, Jung Ho Kim, Evan Minty, Jung Ah Lee, Daniel R. Morales, Rohan Khera, Chungsoo Kim, Thamir M. Alshammari, Scott L. DuVall, Michael E. Matheny, Thomas Falconer, Seonji Kim, Thanh-Phuc Phan, Phung-Anh Nguyen, Min-Huei Hsu, Jason C. Hsu, Rae Woong Park, Kenneth K.C. Man, Sarah Seager, Mui Van Zandt, James P. Gilbert, Patrick B. Ryan, Martijn J. Schuemie, Marc A. Suchard, George Hripcsak, Nicole Pratt, Seng Chan You

“…Funding: Yonsei University College of Medicine, Government-wide R&D Fund project for infectious disease research (GFID), Republic of Korea, National Health and Medical Research Council (NHMRC) Australian Government. …”
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Genome-wide association mapping of biochemical traits and its correlation with MYMIV resistance in mungbean (Vigna radiata L. Wilczek) by Manju Kohli, Hina Bansal, Muraleedhar Aski, Gyan P. Mishra, B. R. Shashidhar, Anirban Roy, Soma Gupta, Subodh K. Sinha, Brijesh Kumar Mishra, Nikki Kumari, Atul Kumar, Ranjeet Ranjan Kumar, Ramakrishnan M. Nair, Harsh Kumar Dikshit

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