Cardiomyopathy and kidney function in agalsidase beta‐treated female Fabry patients: a pre‐treatment vs. post‐treatment analysis by Christoph Wanner, Ulla Feldt‐Rasmussen, Ana Jovanovic, Aleš Linhart, Meng Yang, Elvira Ponce, Eva Brand, Dominique P. Germain, Derralynn A. Hughes, John L. Jefferies, Ana Maria Martins, Albina Nowak, Bojan Vujkovac, Frank Weidemann, Michael L. West, Alberto Ortiz

“…Compared with the treatment‐naive period (follow‐up 3.6 years), eGFR decline remained modest and stabilized within normal ranges during 4.1 years of treatment (slope difference, 95% CI: −0.13 [−1.15, 0.89] mL/min/1.73m2/year, Ppre–post difference = 0.80). …”
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Estimating the Bitumen Ratio to be Used in Highway Asphalt Concrete by Machine Learning by Muhammed Yasin Çodur, Halis Bahadir Kasil, Emre Kuşkapan

“…However, this method is costly as well as time-consuming. In this study, the Naive Bayes method, which is a machine learning algorithm, was used to estimate the bitumen ratio practically. …”
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Modeling Microscopic Car-Following Strategy of Mixed Traffic to Identify Optimal Platoon Configurations for Multiobjective Decision-Making by Mudasser Seraj, Jiangchen Li, Zhijun Qiu

“…In this context, this paper proposes a naïve microscopic car-following strategy for a mixed traffic stream in CAV settings and specified shifts in traffic mobility, safety, and environmental features. …”
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Effects of Size, Composition, and Evolutionary Pressure in Heterogeneous Cournot Oligopolies with Best Response Decisional Mechanisms by Fausto Cavalli, Ahmad Naimzada, Marina Pireddu

“…We study heterogeneous Cournot oligopolies of variable sizes and compositions, in which the firms have different degrees of rationality, being either rational firms with perfect foresight or naive best response firms with static expectations. …”
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Incidence of Severe Hepatotoxicity Related to Antiretroviral Therapy in HIV/HCV Coinfected Patients by Emily L. Heil, Mary L. Townsend, Kenneth Shipp, Amy Clarke, Melissa D. Johnson

“…HIV/HCV co-infected adults were included in this retrospective study if they were PI or NNRTI naïve at their first clinic visit and were initiated on an NNRTI- and/or PI-based antiretroviral regimen. …”
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Flight Delay Classification Prediction Based on Stacking Algorithm by Jia Yi, Honghai Zhang, Hao Liu, Gang Zhong, Guiyi Li

“…There are five supervised machine learning algorithms in the first-level learner of Stacking including KNN, Random Forest, Logistic Regression, Decision Tree, and Gaussian Naive Bayes. The second-level learner is Logistic Regression. …”
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A Semisupervised Cascade Classification Algorithm by Stamatis Karlos, Nikos Fazakis, Sotiris Kotsiantis, Kyriakos Sgarbas

“…In this work, a self-trained NB∇C4.5 classifier algorithm is presented, which combines the characteristics of Naive Bayes as a base classifier and the speed of C4.5 for final classification. …”
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The Effect of Resampling Techniques on Model Performance Classification of Maternal Health Risks by Nia Mauliza, Aisha Shakila Iedwan, Yoga Pristyanto, Anggit Dwi Hartanto, Arif Nur Rohman

“…The methods used in this research included Synthetic Minority Over-sampling Technique (SMOTE), SMOTE-Edited Nearest Neighbor (SMOTE-ENN), Adaptive Synthetic Sampling (ADASYN), and ADASYN-ENN, using five classification algorithms: Decision Tree, K-Nearest Neighbor (KNN), Naïve Bayes, Random Forest, and Support Vector Machine (SVM). …”
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Epigenetic Control of Interferon-Gamma Expression in CD8 T Cells by Patrícia S. de Araújo-Souza, Steffi C. H. Hanschke, João P. B. Viola

“…IFN-γ expression by CD4 T lymphocytes is observed only after T helper (Th) 1 differentiation and there are several studies about the molecular mechanisms that control Ifng expression in these cells. However, naïve CD8 T lymphocytes do not produce large amounts of IFN-γ, but after TCR stimulation there is a progressive acquisition of IFN-γ expression during differentiation into cytotoxic T lymphocytes (CTL) and memory cells, which are capable of producing high levels of this cytokine. …”
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Classification of NSCLC subtypes using lung microbiome from resected tissue based on machine learning methods by Pragya Kashyap, Kalbhavi Vadhi Raj, Jyoti Sharma, Naveen Dutt, Pankaj Yadav

“…Next, benchmarking was performed across six different supervised-classification algorithms viz. logistic-regression, naïve-bayes, random-forest, extreme-gradient-boost (XGBoost), k-nearest neighbor, and deep neural network. …”
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Facial emotion recognition in adolescent depression: The role of childhood traumas, emotion regulation difficulties, alexithymia and empathy by Hesna Gul, Yasemin Tas Torun, Fatma Hulya Cakmak, Ahmet Gul

“…Subjects and Methods: A total of 67 drug-naive adolescents with depression (11 boys, 56 girls; 11–17 years) were recruited for the study. …”
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Intelligent Topical Sentiment Analysis for the Classification of E-Learners and Their Topics of Interest by M. Ravichandran, G. Kulanthaivel, T. Chellatamilan

“…The investigation illustrated in this paper is of threefold which are listed as follows: (1) lexicon based sentiment polarity of tweet messages; (2) the bigram cooccurrence relationship using naïve Bayesian; (3) the bigram item response theory (BIRT) on various topics. …”
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Hijacking the Cellular Mail: Exosome Mediated Differentiation of Mesenchymal Stem Cells by Raghuvaran Narayanan, Chun-Chieh Huang, Sriram Ravindran

“…Our results indicate that proosteogenic exosomes isolated from cell cultures can induce lineage specific differentiation of naïve MSCs in vitro and in vivo. Additionally, exosomes can also bind to matrix proteins such as type I collagen and fibronectin enabling them to be tethered to biomaterials. …”
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Susan Magoffin’s Santa Fe Days in 1846: The Value of Testimony by Susanne Berthier-Foglar

“…La description, parfois naïve, de Santa Fe sous l’occupation américaine illustre les raisons de la guerre contre le Mexique. …”
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Regulatory T Cells in Autoimmune and Viral Chronic Hepatitis by Pascal Lapierre, Alain Lamarre

“…The liver can induce the conversion of naïve CD4+ T cells to CD4+ regulatory T cells and induce tolerance to locally expressed antigens. …”
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Markers of immunosenescence in CMV seropositive healthy elderly adults by Ivón Johanna Rodríguez, Carlos Alberto Parra-López

“…We observed that older adults present an increase in the population of CD14+CD16+ intermediate monocytes, an expansion of CD56neg NK cells with an increase in the expression of CD57, as well as a decrease in the naïve CD4+ and CD8+ T cells, accompanied by an increased expression of senescence markers CD57 and KLRG1 in effector CD8+ T cells.…”
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Predicting Risk through Artificial Intelligence Based on Machine Learning Algorithms: A Case of Pakistani Nonfinancial Firms by Shamsa Khalid, Muhammad Anees Khan, M.S. Mazliham, Muhammad Mansoor Alam, Nida Aman, Muhammad Tanvir Taj, Rija Zaka, Muhammad Jehangir

“…So, in this study, we used financial ratios for accurate risk assessment and for the automation of corporate risk management by developing machine learning algorithms using techniques, namely, random forest, decision tree, naïve Bayes, and KNN. A secondary data collection technique will be used. …”
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Generalized cue reactivity in rat dopamine neurons after opioids by Collin M. Lehmann, Nora E. Miller, Varun S. Nair, Kauê M. Costa, Geoffrey Schoenbaum, Khaled Moussawi

“…Here, we develop Pavlovian and operant procedures in male rats to measure firing responses within the same dopamine neurons to drug versus natural reward cues, which we find to be similarly enhanced compared to cues predicting natural rewards in drug-naive controls. This enhancement is associated with increased behavioral reactivity to the drug cue, suggesting that dopamine neuronal activity may still be relevant to cue reactivity, albeit not as previously hypothesized. …”
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Improving Elementary School Teacher Candidates’ Views of Nature of Science Through Intensive Education by Tugba Ecevit, Yalcin Yalaki, Sevgi Kingir

“…At the beginning of the study, the participating STs had naive views of nature of science and some misconceptions. …”
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The Influence of Attention and Target Identification on Saccadic Eye Movements Depends on Prior Target Location by David R. Hardwick, Timothy R. H. Cutmore, Trevor J. Hine

“…A simple additive model was compared with a shared resources model that predicts a three-way interaction. Twenty naïve participants made horizontal saccades to targets left and right of fixation in a randomised block design. …”
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