The Flowering Characters Variation Among Floral Variants and Landraces Along Geographical Gradients in Gunung Sewu by Yeni Widyana Nurcahyani Cahyaningrum, Sapto Indrioko, Eny Faridah, Atus Syahbudin

Get full text

A variação ontológica de raça na modernidade: Brasil e Cabo Verde by José Carlos dos Anjos

Subjects: “…race's ontological gradients…”
Get full text

Study of thermal management system for battery box for formula student electric racing car by Yawen Han, Yuxing Bai, Weixin Zhang, Song Cui, Liguo Zang, Liguo Zang, Hongshan Ding

“…In Formula Student Electric (FSE) racing competitions, battery overheating is a common challenge due to inadequate thermal dissipation at high discharge rates, negatively impacting the performance of the racing vehicle. …”
Get full text

Iterative Linear Quadratic Optimization for Nonlinear Control: Differentiable Programming Algorithmic Templates by Roulet, Vincent, Srinivasa, Siddhartha, Fazel, Maryam, Harchaoui, Zaid

“…In a differentiable programming framework, this information, such as gradients, can be automatically derived from the computational graph. …”
Get full text

Desigualdades na mortalidade infantil no Município de São Paulo: em busca do melhor indicador by Ligia Vizeu Barrozo

“…In São Paulo, there is a socio-spatial gradient of the relative risks for some mortalities, which increase as the socio-environmental profile of the population worsens. …”
Get full text

Machine Learning-Based Diabetes Risk Prediction Using Associated Behavioral Features by Ayodeji O. J. Ibitoye, Joseph D. Akinyemi, Olufade F. W. Onifade

“…Diabetes is a global health concern that affects people of all races. With different uncertainties in human lifestyles, it is difficult to predict diabetes while assuming that the risk patterns are the same for all. …”
Get full text

Aspiring to clinical significance: Insights from developing and evaluating a machine learning model to predict emergency department return visit admissions. by Yiye Zhang, Yufang Huang, Anthony Rosen, Lynn G Jiang, Matthew McCarty, Arindam RoyChoudhury, Jin Ho Han, Adam Wright, Jessica S Ancker, Peter Ad Steel

“…Multiple machine learning algorithms were evaluated, including deep significance clustering (DICE), regularized logistic regression (LR), Gradient Boosting Decision Tree, and XGBoost. These machine learning models were also compared against an existing clinical risk score. …”
Get full text

Polymorphism of genes associated with infectious lung diseases in Northern Asian populations and in patients with community-acquired pneumonia by S. V. Mikhailova, L. V. Shcherbakova, N. I. Logvinenko, I. I. Logvinenko, M. I. Voevoda

“…It has also been reported that rs10902158 at the PKP3-SIGGIR-TMEM16J genetic locus belongs to a haplotype race-specifically associated with tuberculosis. Meanwhile, a gradient of its frequency is observed in Asia. …”
Get full text

Development and Validation of a Routine Electronic Health Record-Based Delirium Prediction Model for Surgical Patients Without Dementia: Retrospective Case-Control Study by Emma Holler, Christina Ludema, Zina Ben Miled, Molly Rosenberg, Corey Kalbaugh, Malaz Boustani, Sanjay Mohanty

“…Controls without delirium or nurse-documented confusion were matched to cases by age, sex, race, and year of admission. We trained logistic regression, random forest, extreme gradient boosting (XGB), and neural network models to predict POD using 143 features derived from routine EHR data available at the time of hospital admission. …”
Get full text

Distribution of air quality health benefits of medium and heavy-duty electrification policies in New York City by Brian Naess, Jonathan Buonocore, Veronica Southerland, Muskaan Khemani, Catherine Seppanen, Ananya Roy, Frederica Perera, Kaitlyn E Coomes, Rick Rykowski, Saravanan Arunachalam

“…Our air quality modeling employed a novel receptor network to capture sharp gradients due to medium- and heavy-duty vehicle (MHDV) emissions in the densely populated NYC region. …”
Get full text

Behavioral risk factors and socioeconomic inequalities in ischemic heart disease mortality in the United States: A causal mediation analysis using record linkage data. by Yachen Zhu, Laura Llamosas-Falcón, William C Kerr, Jürgen Rehm, Charlotte Probst

“…Analyses were performed stratified by sex and adjusted for marital status, race and ethnicity, and survey year. In both males and females, clear socioeconomic gradients in IHD mortality were observed, with low- and middle-education people bearing statistically significantly higher risks compared to high-education people. …”
Get full text