
The authors looked at the dynamics of tennis serves from professional and amateur athletes.
Read More...Analysis of professional and amateur tennis serves using computer pose detection
The authors looked at the dynamics of tennis serves from professional and amateur athletes.
Read More...The sweetened actualities of neural membrane proteins: A computational structural analysis
Here, seeking to better understand the roles of glycans in the receptors of active sites of neuronal cells, the authors used molecular dynamics simulations to to uncover the dynamic nature of N-glycans on membrane proteins. The authors suggest the study of theinteractions of these membrane poreins could provide future potential therapeutic targets to treat mental diseases.
Read More...The analysis of the antimicrobial benefits of Populus balsamifera
In this study, the authors investigated the antimicrobial properties of the tree species, Populus balsamifera. It was observed that the extract of the buds of P. balsamifera was highly effective against gram-positive bacteria. This helps to indicate the potential use of P. balsamifera in the medical field to eliminate gram-positive bacteria.
Read More...Analysis of Monotherapy and Combination Therapy on Helicobacter felis
Heliobacter felis causes gastritis which is accompanied by a range of unpleasant symptoms in small animals such as cats. In order to identify effective antibiotics for treating H. felis infections, the researchers investigate whether a combination of different antibiotics is more effective than the use of individual antibiotics alone. Of the antibiotics they selected, Streptomycin alone was better than any other single antibiotic or in combination. Their results have not yet been validated in live animals, but suggest that Streptomycin alone might be an effective treatment of H. felis-induced gastritis in cats.
Read More...String analysis of exon 10 of the CFTR gene and the use of Bioinformatics in determination of the most accurate DNA indicator for CF prediction
Cystic fibrosis is a genetic disease caused by mutations in the CFTR gene. In this paper, the authors attempt to identify variations in stretches of up to 8 nucleotides in the protein-coding portions of the CFTR gene that are associated with disease development. This would allow screening of newborns or even fetuses in utero to determine the likelihood they develop cystic fibrosis.
Read More...An Investigative Analysis of Climate Change Using Historical and Modern Weather Data
Climate change is an important and contentious issue that has far-reaching implications for our future. The authors here compare primary temperature and precipitation data from almost 200 years ago against the present day. They find that the average annual temperature in Brooklyn, NY has risen significantly over this time, as has the frequency of precipitation, though not the amount of precipitation. These data stress the need for more ecologically-conscious choices in our daily lives.
Read More...Risk assessment modeling for childhood stunting using automated machine learning and demographic analysis
Over the last few decades, childhood stunting has persisted as a major global challenge. This study hypothesized that TPTO (Tree-based Pipeline Optimization Tool), an AutoML (automated machine learning) tool, would outperform all pre-existing machine learning models and reveal the positive impact of economic prosperity, strong familial traits, and resource attainability on reducing stunting risk. Feature correlation plots revealed that maternal height, wealth indicators, and parental education were universally important features for determining stunting outcomes approximately two years after birth. These results help inform future research by highlighting how demographic, familial, and socio-economic conditions influence stunting and providing medical professionals with a deployable risk assessment tool for predicting childhood stunting.
Read More...Factors Influencing Muon Flux and Lifetime: An Experimental Analysis Using Cosmic Ray Detectors
Muons, one of the fundamental elementary particles, originate from the collision of cosmic rays with atmospheric particles and are also generated in particle accelerator collisions. In this study, Samson et al analyze the factors that influence muon flux and lifetime using Cosmic Ray Muon Detectors (CRMDs). Overall, the study suggests that water can be used to decrease muon flux and that scintillator orientation is a potential determinant of the volume of data collected in muon decay studies.
Read More...Analysis of reduction potentials to determine the most efficient metals for electrochemical cell alternatives
In this study, the authors investigate what metals make the most efficient electrochemical cells, which are batteries that use the difference in electrical potential to generate electricity. Calculations predicted that a cell made of iron and magnesium would have the highest efficiency. Construction of an electrochemical cell of iron and magnesium produced voltages close to the theoretical voltage predicted. These findings are important as work continues towards making batteries with the highest storage efficiency possible.
Read More...Pancreatic Adenocarcinoma: An Analysis of Drug Therapy Options through Interaction Maps and Graph Theory
Cancer is often caused by improper function of a few proteins, and sometimes it takes only a few proteins to malfunction to cause drastic changes in cells. Here the authors look at the genes that were mutated in patients with a type of pancreatic cancer to identify proteins that are important in causing cancer. They also determined which proteins currently lack effective treatment, and suggest that certain proteins (named KRAS, CDKN2A, and RBBP8) are the most important candidates for developing drugs to treat pancreatic cancer.
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