iKIR score decreases protection associated with protective class II genotypes in T1D. by Laura Mora-Bitria (20477525)

Number of primary school classes, 2013−2022. by Zhankun Han (20529082)

“…Rural elementary schools in China are scattered, the distribution rate of aesthetic education resources is low, and it is difficult to popularize high-quality aesthetic education resources. (2) The number of classes in China’s rural elementary schools decreased 30.28% from 1.139 million in 2013 to 788,000 in 2022. …”

Differences among the classes of CAMs. by Daniel P. Bradley (10306893)

“…We propose that this class be called CAM-I, for <i>CAM-inhibitor</i>. …”

AI KRegression by CHIN-CHENG CHU (20718575)

Participant retention flowchart. by Carolin Oetzmann (11397968)

“…We identified a 4-class solution: (1) severe with appetite decrease, (2) severe with appetite increase, (3) moderate severity and (4) low severity. …”

Design, Synthesis, and Cellular Characterization of a New Class of IPMK Kinase Inhibitors by Yubai Zhou (3931427)

S1 Data - by Bowen Deng (3123237)

“…</p><p>Results</p><p>Among 1,523 eligible patients, 227 (14.9%) died within 30 days. We identified 4 longitudinal trajectories of blood glucose, including class 1 (a low initial average blood glucose level with steady trend within 24 hours), class 2 (a high initial average blood glucose with gently decreased trend), class 3 (the highest initial average blood glucose with rapidly decreased trend) and class 4 (a high initial average blood glucose level with the trend that increased at first and then decreased). …”

Characteristics of AMI patients with DM. by Bowen Deng (3123237)

“…</p><p>Results</p><p>Among 1,523 eligible patients, 227 (14.9%) died within 30 days. We identified 4 longitudinal trajectories of blood glucose, including class 1 (a low initial average blood glucose level with steady trend within 24 hours), class 2 (a high initial average blood glucose with gently decreased trend), class 3 (the highest initial average blood glucose with rapidly decreased trend) and class 4 (a high initial average blood glucose level with the trend that increased at first and then decreased). …”

Classes of errors and gaps in BOLD metadata. by Frederik Stein (22146203)

UHPLC-MS CKO vs K5Cre results. by Kevin J. Mills (9270966)

“…The lysophospholipids were the most decreased class of lipids, and free fatty acids and ceramides important in barrier formation were also decreased. …”

Uncropped raw western blot images. by Kevin J. Mills (9270966)

“…The lysophospholipids were the most decreased class of lipids, and free fatty acids and ceramides important in barrier formation were also decreased. …”

LC-IMS-CID-MS CKO vs K5Cre results. by Kevin J. Mills (9270966)

“…The lysophospholipids were the most decreased class of lipids, and free fatty acids and ceramides important in barrier formation were also decreased. …”

Phospholipid metabolism CKO vs K5Cre Reactome. by Kevin J. Mills (9270966)

“…The lysophospholipids were the most decreased class of lipids, and free fatty acids and ceramides important in barrier formation were also decreased. …”

A novel RNN architecture to improve the precision of ship trajectory predictions by Martha Dais Ferreira (18704596)

“…To solve these challenges, Recurrent Neural Network (RNN) models have been applied to STP to allow scalability for large data sets and to capture larger regions or anomalous vessels behavior. This research proposes a new RNN architecture that decreases the prediction error up to 50% for cargo vessels when compared to the OU model. …”

Structural Insights into the Role of the Stereochemistry of the Cyclopropyl Ring in the Inhibitory Activity of Xeruborbactam against SME‑1 Class A Carbapenemase by Kunal Dhankhar (14586938)

“…Xeruborbactam is a boronic acid-based transition-state analogue that has exhibited great potential as a clinically relevant inhibitor of carbapenemase enzymes, including class A carbapenemases. In this work, we have investigated the mechanism of inhibition of xeruborbactam against SME-1 carbapenemase using kinetic, structural, and thermodynamic approaches. …”

Structural Insights into the Role of the Stereochemistry of the Cyclopropyl Ring in the Inhibitory Activity of Xeruborbactam against SME‑1 Class A Carbapenemase by Kunal Dhankhar (14586938)

“…Xeruborbactam is a boronic acid-based transition-state analogue that has exhibited great potential as a clinically relevant inhibitor of carbapenemase enzymes, including class A carbapenemases. In this work, we have investigated the mechanism of inhibition of xeruborbactam against SME-1 carbapenemase using kinetic, structural, and thermodynamic approaches. …”

Addressing Imbalanced Classification Problems in Drug Discovery and Development Using Random Forest, Support Vector Machine, AutoGluon-Tabular, and H2O AutoML by Ayush Garg (21090944)

“…But to the best of our knowledge, an in-depth analysis of the performance of these techniques against the class ratio is not available in the literature. We have addressed these shortcomings in this study and have performed a detailed analysis of the performance of four different techniques to address imbalanced class distribution using machine learning (ML) methods and AutoML tools. …”

Data Sheet 1_Th2 predominance and decreased NK cells in patients with hereditary angioedema.docx by Linda Sundler Björkman (21356087)

“…Background<p>In this study we included patients with hereditary angioedema (HAE) caused by decreased levels of C1 inhibitor (HAE-C1INH). …”

The whole leaf image segmented using SAM. by Afira Aslam (21433666)

“…We propose a StackNet-based ensemble classifier that takes the output probabilities of these three classifiers and predicts the class label among six diseases—Bacterial blight, Curl virus, Fusarium wilt, Alternaria, Cercospora, Greymildew—and a healthy class. …”

Cotton production in major countries. by Afira Aslam (21433666)

“…We propose a StackNet-based ensemble classifier that takes the output probabilities of these three classifiers and predicts the class label among six diseases—Bacterial blight, Curl virus, Fusarium wilt, Alternaria, Cercospora, Greymildew—and a healthy class. …”