Machine learning-based compression of quantum many body physics: PCA and autoencoder representation of the vertex function by Jiawei Zang, Matija Medvidović, Dominik Kiese, Domenico Di Sante, Anirvan M Sengupta, Andrew J Millis

“…This paper explores an interpretable data-driven approach utilizing principal component analysis (PCA) and autoencoder neural networks to compress the two-particle vertex, a key element in Feynman diagram approaches. …”
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Improving the efficiency of multimodal transportation of chemical products from the Volgograd region to the near and far abroad by A. V. Kulikov, P. A. Pavlov, A. A. Kulikov

“…The paper uses methods of statistical and economic analysis of data on the functioning of the chemical industry in the region. …”
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Evaluating Interlaboratory Variability in Wastewater-Based COVID-19 Surveillance by Arianna Azzellino, Laura Pellegrinelli, Ramon Pedrini, Andrea Turolla, Barbara Bertasi, Sandro Binda, Sara Castiglioni, Clementina E. Cocuzza, Fabio Ferrari, Andrea Franzetti, Maria Giovanna Guiso, Marina Nadia Losio, Marianna Martinelli, Antonino Martines, Rosario Musumeci, Desdemona Oliva, Laura Sandri, Valeria Primache, Francesco Righi, Annalisa Scarazzato, Silvia Schiarea, Elena Pariani, Emanuela Ammoni, Danilo Cereda, Francesca Malpei

“…Numerous workflows for tracking SARS-CoV-2 have been developed globally, underscoring the need for interlaboratory comparisons to ensure data consistency and comparability. …”
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Plasma proteomics-based risk scores for psoriasis prediction: a novel approach to early diagnosis by Siyu Wei, Zehong Yue, Chen Sun, Yuping Zou, Haiyan Chen, Junxian Tao, Jing Xu, Yuan Xu, Ning Wang, Yan Guo, Qinduo Ren, Chang Wang, Songlin Lu, Ye Ma, Yu Dong, Chen Zhang, Hongmei Sun, Guoping Tang, Fanwu Kong, Wenhua Lv, Zhenwei Shang, Mingming Zhang, Yongshuai Jiang, Hongchao Lyu

“…Current risk assessment lacks integration of proteomic data with genetic and clinical factors. This study aimed to develop a plasma proteomics-based risk score (ProtRS) to improve psoriasis prediction.MethodsUsing data from 53,065 UK Biobank (UKB) participants (1,122 psoriasis cases; 51,943 controls), we integrated 2,923 plasma proteins, polygenic risk score (PRS), and seven clinical risk factors. …”
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Early rehabilitation of cancer patients after endoprosthetic reconstruction following resection of the lower extremity long bones by A. V. Bukharov, E. V. Filonenko, D. A. Erin, V. A. Derzhavin, A. V. Yadrina, A. M. Shatalov, D. O. Elkhov, M. D. Aliev

“…Aim of the study: to conduct a systematic analysis of the data available in the modern literature, prognostic factors, and modern methods of rehabilitation of cancer patients after endoprosthetic reconstruction following resection of the lower extremity long bones. …”
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Comprehensive subspecies identification of 175 nontuberculous mycobacteria species based on 7547 genomic profiles by Yuki Matsumoto, Takeshi Kinjo, Daisuke Motooka, Daijiro Nabeya, Nicolas Jung, Kohei Uechi, Toshihiro Horii, Tetsuya Iida, Jiro Fujita, Shota Nakamura

“…In this study, we sequenced 63 NTM genomes, 27 of which were newly determined, by hybrid assembly using sequencers from Illumina and Oxford Nanopore Technologies (ONT). This analysis expanded the available genomic data to 175 NTM species and redefined their subgenus classification. …”
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New susceptibility loci associated with kidney disease in type 1 diabetes. by Niina Sandholm, Rany M Salem, Amy Jayne McKnight, Eoin P Brennan, Carol Forsblom, Tamara Isakova, Gareth J McKay, Winfred W Williams, Denise M Sadlier, Ville-Petteri Mäkinen, Elizabeth J Swan, Cameron Palmer, Andrew P Boright, Emma Ahlqvist, Harshal A Deshmukh, Benjamin J Keller, Huateng Huang, Aila J Ahola, Emma Fagerholm, Daniel Gordin, Valma Harjutsalo, Bing He, Outi Heikkilä, Kustaa Hietala, Janne Kytö, Päivi Lahermo, Markku Lehto, Raija Lithovius, Anne-May Osterholm, Maija Parkkonen, Janne Pitkäniemi, Milla Rosengård-Bärlund, Markku Saraheimo, Cinzia Sarti, Jenny Söderlund, Aino Soro-Paavonen, Anna Syreeni, Lena M Thorn, Heikki Tikkanen, Nina Tolonen, Karl Tryggvason, Jaakko Tuomilehto, Johan Wadén, Geoffrey V Gill, Sarah Prior, Candace Guiducci, Daniel B Mirel, Andrew Taylor, S Mohsen Hosseini, DCCT/EDIC Research Group, Hans-Henrik Parving, Peter Rossing, Lise Tarnow, Claes Ladenvall, François Alhenc-Gelas, Pierre Lefebvre, Vincent Rigalleau, Ronan Roussel, David-Alexandre Tregouet, Anna Maestroni, Silvia Maestroni, Henrik Falhammar, Tianwei Gu, Anna Möllsten, Danut Cimponeriu, Mihai Ioana, Maria Mota, Eugen Mota, Cristian Serafinceanu, Monica Stavarachi, Robert L Hanson, Robert G Nelson, Matthias Kretzler, Helen M Colhoun, Nicolae Mircea Panduru, Harvest F Gu, Kerstin Brismar, Gianpaolo Zerbini, Samy Hadjadj, Michel Marre, Leif Groop, Maria Lajer, Shelley B Bull, Daryl Waggott, Andrew D Paterson, David A Savage, Stephen C Bain, Finian Martin, Joel N Hirschhorn, Catherine Godson, Jose C Florez, Per-Henrik Groop, Alexander P Maxwell

“…Functional data suggest that AFF3 influences renal tubule fibrosis via the transforming growth factor-beta (TGF-β1) pathway. …”
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Relationship Between Birth Weight and Asthma Diagnosis: A Cross-Sectional Survey Study Based on the National Survey of Children’s Health in the U.S. by Wei Li, Tao Wang, Qianqian Zhang, Hao Chen, Ze Chen, Zhiwei Liu, Meng Ni, Baihe Li, Jiuru Zhao, Sudong Qi, Qianwen Shen, Dongting Yao, Xiya Ding, Zhenying Lin, Chunyu Cheng

“…Children with VLBW (OR 1.97; 95% CI 1.29 to 3.01) had higher odds of developing asthma in the adjusted analysis model. However, VLBW was only shown to be a risk factor for asthma among Hispanics, black/African-Americans and children between the ages of 6 and 12 years, demonstrating racial and age disparities.Conclusions VLBW increases the risk of childhood asthma; however, racial and age disparities are evident.…”
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Long COVID and episodic disability: advancing the conceptualisation, measurement and knowledge of episodic disability among people living with Long COVID – protocol for a mixed-met... by Richard Harding, Kristine M Erlandson, Jaime H Vera, Colm Bergin, Ciaran Bannan, Darren A Brown, Margaret O'Hara, Kelly K O'Brien, Patricia Solomon, Angela M Cheung, Lisa Avery, Soo Chan Carusone, Susie Goulding, Lisa McCorkell, Larry Robinson, Catherine Thomson, Hannah Wei, Natalie St Clair-Sullivan, Brittany Torres, Niamh Roche, Ruth Stokes, Patriic Gayle

“…Our aims are to: (1) characterise disability experiences among people living with Long COVID in Canada, UK, USA and Ireland; and (2) develop a patient-reported outcome measure to assess the presence, severity and episodic nature of disability with Long COVID.Methods and analysis In phase 1, we will conduct semistructured interviews with adults living with Long COVID to explore experiences of disability (dimensions, uncertainty, trajectories, influencing contextual factors) and establish an episodic disability (ED) framework in the context of Long COVID (n~10 each country). …”
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Fine particulate matter (PM2.5) induces microRNA-192–5p causing glomerular damage by Melina Yarbakht, George Sarau, Yanyi Xu, Xinyi Fang, Zeynab Mirzaei, René Krüger, Yalan Xiao, Arslan Usman, Christoph Daniel, Mario Schiffer, Silke Christiansen, Janina Müller-Deile

“…However, the causality of this relationship and data on potential pathomechanisms are still missing. …”
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Construction of a random survival forest model based on a machine learning algorithm to predict early recurrence after hepatectomy for adult hepatocellular carcinoma by Ji Zhang, Qing Chen, Yu Zhang, Jie Zhou

“…This analysis seeks to elucidate the potential advantages of the RSF model over the CPH model in addressing this clinical challenge. …”
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Piloting an automated query and scoring system to facilitate APDS patient identification from health systems by Amy M. FitzPatrick, Aaron T. Chin, Sharon Nirenberg, Charlotte Cunningham-Rundles, Keith Sacco, Jesse Perlmutter, Joseph F. Dasso, Athanasios Tsalatsanis, Jay Maru, Jessica Creech, Jolan E. Walter, Nicholas Hartog, Neema Izadi, Mandy Palmucci, Manish J. Butte, Klaus Loewy, Anurag Relan, Nicholas L. Rider

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The Internal Kinematics of NGC 2808 and Its Multiple Populations by M. Griggio, A. Bellini, F. I. Aros, E. Vesperini, M. Libralato, J. Anderson, H. Baumgardt, F. R. Ferraro, R. P. van der Marel, S. Raso, A. Renzini, A. Rest, R. E. Ryan Jr.

“…We find the central regions of the cluster to exhibit a higher degree of energy equipartition than the outskirts: Our analysis reveals similar levels of energy equipartition in the radial and tangential components of the motion within about 4 r _h , while outside 4 r _h the data suggest that the equipartition level of the radial component of the velocity dispersion is slightly higher than that of the tangential component. …”
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High CIB1 expression in colorectal cancer liver metastases correlates with worse survival and the replacement histopathological growth pattern by Shuang Fan, Johannes Robert Fleischer, Lolita Dokshokova, Lena Sophie Böhme, Gwendolyn Haas, Alexandra Maria Schmitt, Fabio Bennet Gätje, Linde-Allegra Emmalie Rosen, Hanibal Bohnenberger, Michael Ghadimi, Baolong Cui, Xingbo Xu, Joanna Maria Kalucka, Florian Bösch, Tiago De Oliveira, Lena-Christin Conradi

“…In silico data were further validated by formalin-fixed paraffin-embedded immunohistochemical stainings. …”
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Molecular Dynamics of POPC Phospholipid Bilayers through the Gel to Fluid Phase Transition: An Incoherent Quasi-Elastic Neutron Scattering Study by U. Wanderlingh, C. Branca, C. Crupi, V. Conti Nibali, G. La Rosa, S. Rifici, J. Ollivier, G. D’Angelo

“…Accordingly, the complex dynamics of hydrogen are described in terms of simple dynamical processes involving different parts of the phospholipid chain. The analysis of the data evidences the existence of three different motions: the fast motion of hydrogen vibrating around the carbon atoms, the intermediate motion of carbon atoms in the acyl chains, and the slower translational motion of the entire phospholipid molecule. …”
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Epidemiology and results of the first line therapy for HIV-related Hodgkin lymphoma by A. M. Chekalov, M. O. Popova, I. V. Tsygankov, Yu. A. Rogacheva, N. P. Volkov, K. V. Lepik, M. V. Demchenkova, T. V. Schneider, Yu. V. Kopeikina, N. V. Medvedeva, I. S. Zyuzgin, E. S. Pavlyuchenko, A. N. Levanov, A. A. Myasnikov, E. V. Kariagina, N. B. Mikhailova, V. V. Baykov, A. D. Kulagin

“…Introduction. The risk of developing Hodgkin lymphoma (HL) with HIV infection is higher than in the general population, and the course of the disease itself is more aggressive. …”
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Using Artificial Intelligence to Enhance Myelodysplastic Syndrome Diagnosis, Prognosis, and Treatment by Fabio Stagno, Giuseppe Mirabile, Patricia Rizzotti, Adele Bottaro, Antonio Pagana, Sebastiano Gangemi, Alessandro Allegra

“…More than 30% of myelodysplastic syndrome cases develop into acute myeloid leukemia. An analysis of bone marrow samples, peripheral blood smears, multiparametric flow cytometry data, and clinical patient information is part of the current, time-consuming, and labor-intensive work up for myelodysplastic syndromes. …”
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Twinkle: A GPU-based Binary-lens Microlensing Code with the Contour Integration Method by Suwei Wang, Lile Wang, Subo Dong

“…The enhancement in computational speed of Twinkle will translate to the delivery of accurate and highly efficient data analysis for ongoing and upcoming microlensing projects. …”
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Core publications in drug discovery and natural product research by Banaz Jalil, Judith M. Rollinger, Atanas G. Atanasov, Atanas G. Atanasov, Atanas G. Atanasov, Rajeev K. Singla, Rajeev K. Singla, A. Douglas Kinghorn, Michael Heinrich, Michael Heinrich

“…National Cancer Institute in developing anticancer and anti-HIV agents. The present work also addresses current challenges and innovations in the field, emphasizing the importance of data quality, interdisciplinary collaboration, and the integration of artificial intelligence. …”
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Impact of short-term aircraft noise on cardiovascular disease risk in the area surrounding London Heathrow airport: the RISTANCO epidemiological study by Xiangpu Gong, Nicole Itzkowitz, Calvin Jephcote, Kathryn Adams, Glory O Atilola, John Gulliver, Marta Blangiardo, Anna Hansell

“…Objectives were: to obtain daily estimates of day and night-time noise average exposure and number of noisy (flight) events for 2014–18 for the population living around London Heathrow airport; to link the noise estimates to cardiovascular hospital admission and mortality data via postcode of residence; to conduct a case-crossover analysis relating daily changes in aircraft noise to cardiovascular disease morbidity and mortality, taking account of relevant confounders that also change on a day-to-day basis such as temperature and air pollution; to identify relevant interactions for areas with consistent patterns of noise exposure versus those with changing patterns of noise exposure and to explore interactions with age, gender, ethnicity and deprivation. …”
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