Macrophage Infiltration and ITGB2 Expression in ESCC: A Novel Correlation by Tao Huang, Longqian Wei, Huafu Zhou, Jun Liu

“…Results We discovered and validated a positive correlation between macrophage infiltration and ITGB2 expression in ESCC. …”
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Artificial neural network detection of pancreatic cancer from proton (1H) magnetic resonance spectroscopy patterns of plasma metabolites by Meiyappan Solaiyappan, Santosh Kumar Bharti, Raj Kumar Sharma, Mohamad Dbouk, Wasay Nizam, Malcolm V. Brock, Michael G. Goggins, Zaver M. Bhujwalla

“…We tested the accuracy of the ANN performance using blinded plasma samples. …”
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HPRS: hierarchical potential-based reward shaping from task specifications by Luigi Berducci, Edgar A. Aguilar, Dejan Ničković, Radu Grosu

“…We call our novel approach hierarchical, potential-based reward shaping (HPRS). …”
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Comparison of Conservation Strategies for California Channel Island Oak (Quercus tomentella) Using Climate Suitability Predicted From Genomic Data by Alayna Mead, Sorel Fitz‐Gibbon, John Knapp, Victoria L. Sork

“…We compare the impact of these approaches on predicted maladaptation to climate using Gradient Forest. …”
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Multistability of synchronous modes in a multimachine power grid with a common load and their global and non-local stability by Khramenkov, Vladislav Anatolevich, Dmitrichev, Aleksej Sergeevich, Nekorkin, Vladimir Isaakovich

“…To study the dynamics of a power grid we use the effective network model in the form of an ensemble of globally coupled nodes-generators. …”
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Modeling the co-infection of HTLV-2 and HIV-1 in vivo by A. M. Elaiw, E. A. Almohaimeed, A. D. Hobiny

“…We investigated how the B-cell response affects the dynamics of HIV-1 and HTLV-2 co-infection. …”
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Strong volcanic-induced climatic shocks on historical Moselle wine production by F. C. Ljungqvist, F. C. Ljungqvist, F. C. Ljungqvist, B. Christiansen, L. Schneider, L. Schneider, P. Thejll

“…We present a consistent picture of the impact of volcanic eruptions on wine production through climate. …”
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Effects of the auxin-dependent degradation of the cohesin and condensin complexes on the repair of distant DNA double-strand breaks in mouse embryonic stem cells by A. V. Smirnov, A. S. Ryzhkova, A. M. Yunusova

“…We determined optimal Neon settings and deletion appearance timings. …”
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Common themes in architecture and interactions of prokaryotic PolB2 and Pol V mutasomes inferred from in silico studies by Kęstutis Timinskas, Albertas Timinskas, Česlovas Venclovas

“…In some mutasomes we identified clamp binding motifs, present in either iRadA or PolB2, but rarely in both. …”
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Epigene functional diversity: isoform usage, disordered domain content, and variable binding partners by Leroy Bondhus, Aileen A. Nava, Isabelle S. Liu, Valerie A. Arboleda

“…Finally, in the L1000 dataset, we identify drugs that can potentially be used to modulate expression of these genes. …”
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Forecasting insect abundance using time series embedding and machine learning by Gabriel R. Palma, Rodrigo F. Mello, Wesley A.C. Godoy, Eduardo Engel, Douglas Lau, Charles Markham, Rafael A. Moral

“…We used two datasets containing a time series of aphids and climate data collected weekly in two municipalities in Southern Brazil for eight years. …”
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Numerical modeling of land subsidence induced by groundwater extraction considering unsaturated effects and using element-free Galerkin (EFG) method by A. Tourei, A. Pak, M. A. Iranmanesh

“…To ensure the credibility of our model and to verify the code, we modeled unsaturated hydromechanical benchmark problems. …”
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High throughput single cell metagenomic sequencing with semi-permeable capsules: unraveling microbial diversity at the single-cell level in sewage and fecal microbiomes by Meilee Ling, Judit Szarvas, Vaida Kurmauskaitė, Vaidotas Kiseliovas, Rapolas Žilionis, Rapolas Žilionis, Baptiste Avot, Baptiste Avot, Patrick Munk, Frank M. Aarestrup

“…In shallow sequencing data, we aimed for 10-times more cells and detected 12,731 and 17,909 SAGs, of which we used 2,456 and 1,599 for further analysis for sewage and fecal samples, respectively. …”
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Antimicrobial peptide LL37 is potent against non-growing Escherichia coli cells despite a slower action rate by Salimeh Mohammadi, Derek Saucedo, Sattar Taheri-Araghi

“…Time-lapse, single-cell data from our experiments reveal that LL37 peptides act faster on large, dividing cells than on small, newborn cells. We extend this investigation to non-growing E. coli cells in a stationary phase, where we observe that the action of LL37 peptides is slower on non-growing cells compared to exponentially growing cells. …”
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Deep Ensemble Learning for Human Action Recognition in Still Images by Xiangchun Yu, Zhe Zhang, Lei Wu, Wei Pang, Hechang Chen, Zhezhou Yu, Bin Li

“…Firstly, we construct an end-to-end NCNN-based model by attaching the nonsequential convolutional neural network (NCNN) module to the top of the pretrained model. …”
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Physical Pathways for JWST-observed Supermassive Black Holes in the Early Universe by Junehyoung Jeon, Volker Bromm, Boyuan Liu, Steven L. Finkelstein

“…We discuss the exciting prospect to directly probe the assembly history of the first SMBHs with upcoming, ultradeep JWST surveys.…”
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Open Data Release and Privacy Concerns: Complexity in Mitigating Vulnerability with Controlled Perturbation by Shah Imran Alam, Ihtiram Raza Khan, Syed Imtiyaz Hassan, Farheen Siddiqui, M. Afshar Alam, Anil Kumar Mahto

“…Strong privacy laws restrict data owners from opening the data freely. In this paper, we attempted to study the applied solutions and to the best of our knowledge, we found that anonymity-preserving algorithms did a substantial job to protect privacy in the release of the structured microdata. …”
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A theory of change to improve conservation outcomes through CITES by Daniel W. S. Challender, Daniel W. S. Challender, Michael ’t Sas-Rolfes, Michael ’t Sas-Rolfes, Michael ’t Sas-Rolfes, Steven Broad, E. J. Milner-Gulland, E. J. Milner-Gulland

“…Informed by this analysis we develop a modified ToC which could support more effective implementation of CITES. …”
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Ancient and contemporary shellfish cultivation practices bolster bivalve communities and diversity‐biomass relationships by Kieran D. Cox, Hailey L. Davies, Ben Millard‐Martin, Morgan Black, Margot Hessing‐Lewis, Nicole F. Smith, Francis Juanes, Sarah E. Dudas

“…We examined these data using a combination of diversity indices, structural complexity metrics, non‐parametric multivariate statistics and supervised machine learning algorithms. …”
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Barlow Twins deep neural network for advanced 1D drug–target interaction prediction by Maximilian G. Schuh, Davide Boldini, Annkathrin I. Bohne, Stephan A. Sieber

“…In addition, we further benchmark new baselines against existing methods. …”
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