May 2024 Issue

Saccharomyces cerevisiae is used as a model organism to understand the influence of various lights on the lipid content.

Multiple algorithmic models for stock price prediction

This paper attempts to solve the aircraft loading optimization problem using publicly accessible quantum computers.

This study is a comprehensive look into the effects of the Xbox Kinect on indoor robotics and its implications for secondary education.

In this study, we wanted to conduct a statistical analysis on a set of questions concerning a person’s accent.

This study examines the impact of a short non-dominant handwriting tasks on immediate cognitive performance.

This study applies artificial intelligence to detect pneumonia in chest X-rays.

This study employs artificial intelligence to compare the influence of two significant chemoattractants on neutrophil motility in a gradient-less envi-ronment.

This study provides comparison and evaluation of three 3D object detection methods and finds the one that achieves the best precision and accuracy.

Studying the relationships that exist between heavy ion collisions and smaller particles in electron ion collisions.

This research project utilized a Deep Learning Classification Model to design an algorithm for the detection of pathological motion, whether Parkinson’s or dyskinesia, and the prediction of the clinical rating of Parkinson’s or dyskinesia severity based on movement features.

Synthetic Notch (synNotch)-engineered H9 hESCs displayed high receptor expression, adhered and activated on an engineered substratum, and induced early gastrulation differentiation via synNotch-regulated WNT signaling.

Zileuton and Ferrostatin-1s potential to mitigate hypoxia's impact on calcium metabolism and sarcomere structure.

This study examines how generational status affects access to mental health care and quality of mental health among Asian Indians in the U.S.

This study explored arsenic content in rice and developed a novel method of arsenic reduction in rice by soaking the grains.

This study aims to build a machine learning tool for rural areas to predict the quality of their water.

Construction of plasmid to investigate the impact of cumate-inducible overexpression of a gene of interest and green fluorescent protein (GFP) on metabolic efficiency, cell growth, and specific productivity.

Interpretation and analysis of quantum random walk on various entangled circuits.

Studying the development of the visual system through the application of histamine on the developing retina.

The following paper aims to explore how machine-learning techniques like Convolutional Neural Networks and MultiLayer Perceptron can be used to leverage real-time monitoring data to provide early warning systems for water pollution events, enabling timely response and intervention.

Various transition-metal oxides were investigated for their efficacy, applications, and mechanisms relating to greenhouse gas adsorption.

Exploring whether government restrictions on the use of vehicles that emit high concentrations of air pollutants such as nitrogen oxides has dramati-cally improved the air quality in Central London.

The objective of the study is to develop a machine learning model that accurately detects Major Depressive Disorder from social media posts

Analysis of 6SG efficacy in PAR-dCLIP method for future application in characterization of RNA binding protein IFIT1.

Incorporating STING agonists into polymeric delivery systems as an alternative cancer treatment.

This study examines the gender differences in wrist temperature among high school students during the coronavirus outbreak, taking into account the influence of time of day, surrounding environment, and physical activity.

Induced Pluripotent Stem Cells (iPSC) used to differentiate Midbrain Dopaminergic neurons were embedded into different hydrogels.

Machine learning enhances active galactic nuclei classification by leveraging photometric data from extensive astronomical surveys.

This research compared the structure, sequence, and germline of SARS-CoV-2 antibodies that bind to the RBD between humans and mice, making important contributions to the information known about this family of viruses and potentially helping develop possible treatment methods like syn-thetic antibodies.

First graders’ self-efficacy and metacognition were measured to assess the development of children’s self-regulated learning abilities.

The study of an Ediacaran rock slab to determine if burrowing occurred in the late-Ediacaran.

Winning Wimbledon Ladies’ Singles tennis players convert a greater mean proportion of break points than their opponents.

Using movement of endothelial cells and expression of endothelial nitric oxide synthase as measures to see how cytomegalovirus alters endothelial cell function, and contribution to endothelial dysfunction, which can lead to cardiovascular disease.

This study investigates the relationship between named variables and elective and emergency caesarean section in England in the NHS.

Csf3r is alternatively spliced in SRSF2P95H mutant blood cells in a cell-type specific manner.