Foaming properties and olfactory profile of fermented chickpea aquafaba and its application in vegan chocolate mousseMendeley Data by Lea Mehren, Lena Elliger, Hanna May, Andreas Schieber, Nadine Schulze-Kaysers

“…Based on these results, the optimal fermentation day was selected for each mushroom and sensory profiling was conducted. …”
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Healthcare utilisation by pregnant patients with asthma in South Korea: a cohort study using nationwide claims data by Deog Kyeom Kim, Chang-Hoon Lee, Ho Il Yoon, Jae-Joon Yim, Eun Jin Jang, Jimin Kim, Yun Jung Kim, Seongmi Choi, Joon-Ho Lee

“…Here, we investigated the burden and medical treatment of asthma during pregnancy requiring healthcare utilisation in South Korea.Design Cohort study.Setting Nationwide insurance claims database.Participants A total of 1 306 281 pregnant women who delivered in South Korea in 2009–2011.Outcomes The prevalence and exacerbation rates of asthma requiring healthcare utilisation, and the prescription of antiasthmatic drugs during pregnancy.Results The prevalence of asthma requiring healthcare utilisation was 0.43% among pregnant women. …”
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Using DIMet for Differential Analysis of Labeled Metabolomics Data: A Step-by-step Guide Showcasing the Glioblastoma Metabolism by Johanna Galvis, Joris Guyon, Thomas Daubon, Macha Nikolski

“…By incorporating isotopes, such as 13C, into substrates, researchers can trace reaction rates across specific metabolic pathways. Integrating metabolomics data with gene expression profiles further enriches the analysis, as we demonstrated in our prior study on glioblastoma metabolic symbiosis. …”
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Integration of field data and application of machine learning methods to assess the condition of the near-wellbore zone of carbonate reservoirs by Andrey V. Soromotin, Dmitriy A. Martyushev

“…To perform the task of classifying clusters based on source data, the authors have used a machine learning technique – support vector machine and constructed differentially the regression models for each cluster. …”
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Evaluating the impact of Bt rice straw return on Eisenia fetida: AHP analysis, biomarkers, and Bt protein fate by Chuanjun Shi, Junfei Li, Huiru Zhan, Yuanjiao Feng, Jianwu Wang, Zhengao Xiao, Yinghua Shu

“…The analytic hierarchy process was applied to assess the risk of returning rice straw to soil on E. fetida by measuring their survival rate, relative growth rate, reproduction, total protein, superoxide dismutase, and glutathione peroxidase (GSH-PX). …”
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Responsible governance of genomics data and biospecimens in the context of broad consent: experiences of a pioneering access committee in Africa by Kobus Herbst, R Kerr, Daima Bukini, Ahmed Rebai, Akin Abayomi, P Andanda, J Mabuka, R Wamuyu, C Dandara

“…Over the last decade, there has been an increased interest in African genomic data. The contribution of this rich data resource in understanding diseases predominant in both African and global populations has been limited to date. …”
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Construction and validation of a predictive model for the risk of osteoporosis in patients with chronic kidney disease based on NHANES data. by Chunjie She, Hefeng Liu

“…<h4>Methods</h4>1498 patients diagnosed with CKD were enrolled from the National Health and Nutrition Examination Survey (NHANES) data spanning 2005-2010, 2013-2014, and 2017-2018. …”
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A traffic prediction method for missing data scenarios: graph convolutional recurrent ordinary differential equation network by Ming Jiang, Zhiwei Liu, Yan Xu

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De-biasing microbiome sequencing data: bacterial morphology-based correction of extraction bias and correlates of chimera formation by Luise Rauer, Amedeo De Tomassi, Christian L. Müller, Claudia Hülpüsch, Claudia Traidl-Hoffmann, Matthias Reiger, Avidan U. Neumann

“…Abstract Introduction Microbiome amplicon sequencing data are distorted by multiple protocol-dependent biases from bacterial DNA extraction, contamination, sequence errors, and chimeras, hindering clinical microbiome applications. …”
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Assessing Driving Risk Level: Harnessing Deep Learning Hybrid Model With Intercity Bus Naturalistic Driving Data by Wei-Hsun Lee, Che-Yu Chang

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Citrus Cold Weather Protection and Irrigation Scheduling Tools Using Florida Automated Weather Network (FAWN) Data by John L. Jackson, Kelly Morgan, William R. Lusher

“…SL 296/SS509: Citrus Cold Weather Protection and Irrigation Scheduling Tools Using Florida Automated Weather Network (FAWN) Data (ufl.edu) …”
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On predictive modeling of the twitter-based sales data using a new probabilistic model and machine learning methods by Min Wan, Mohammed A. Alshahrani, Najla M. Aloraini, Alia A. Alkhathami, Haifa Alqahtani

“…We further illustrate the applicability of the NCI-Weibull distribution through an analysis of Twitter-based sales data and comparing it with various other statistical models. …”
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RenalSegNet: automated segmentation of renal tumor, veins, and arteries in contrast-enhanced CT scans by Rashid Khan, Chao Chen, Asim Zaman, Jiayi Wu, Haixing Mai, Liyilei Su, Yan Kang, Bingding Huang

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SRAM and Mixed-Signal Logic With Noise Immunity in 3-nm Nano-Sheet Technology by Rajiv V. Joshi, J. Frougier, Alberto Cestero, Crystal Castellanos, Sudipto Chakraborty, Carl Radens, M. Silvestre, S. Lucarini, I. Ahsan, E. Leobandung

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Modelled Energy Cost Minimization Solution for Wireless Rechargeable Sensor Networks by Musa Ahmed, Dominic Saaityo NYITAMEN, Fatai Olatunde Adunola, Sagir Lawan

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SHORT REVIEW OF SOME NOSQL DATABASES by Adrian RUNCEANU, Marian Ion POPESCU, Ilie BORCOSI, Dragos-Viorel IONICĂ

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Blueberry Gall Midge on Southern Highbush Blueberry in Florida by Oscar E. Liburd, Douglas A. Phillips

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Blueberry Gall Midge on Southern Highbush Blueberry in Florida by Oscar E. Liburd, Douglas A. Phillips

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Comparative evaluation of multimarker algorithms for early-stage HCC detection in multicenter prospective studies by Jinlin Hou, Thomas Berg, Arndt Vogel, Teerha Piratvisuth, Jörg Trojan, Enrico N. De Toni, Masatoshi Kudo, Katarina Malinowsky, Peter Findeisen, Johannes Kolja Hegel, Wenzel Schöning, Kairat Madin, Konstantin Kroeniger, Henry Lik-Yuen Chan, Ashish Sharma

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TO SEE, WHILE UNABLE TO SEE: AUTOBIOGRAPHICAL PERSPECTIVES OF AN OPHTHALMOLOGIST ON THE COVID-19 PANDEMIC by C. Gouws

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