These authors mathematically deduce a model that explains the interesting (and unintuitive) physical phenomenon that occurs when water falls.
Read More...Estimating the liquid jet breakdown height using dimensional analysis with experimental evidence
These authors mathematically deduce a model that explains the interesting (and unintuitive) physical phenomenon that occurs when water falls.
Read More...Observing effects of resolving leaky gut on sugar, fat, and insulin levels during type 1 diabetes in fruit flies
This study uses a fruit fly model of type 1 diabetes (T1D) to determine whether strengthening intestinal tight junctions to reduce intestinal permeability would improve T1D symptoms.
Read More...Development of Diet-Induced Insulin Resistance in Drosophila melanogaster and Characterization of the Anti-Diabetic Effects of Resveratrol and Pterostilbene
Dhar and colleagues established a Type II diabetes mellitus (T2DM) model in fruit flies, using this model to induce insulin resistance and characterize the effects Resveratrol and Pterostilbene on a number of growth and activity metrics. Resveratrol and Pterostilbene treatment notably overturned the weight gain and glucose levels. The results of this study suggest that Drosophila can be utilized as a model organism to study T2DM and novel pharmacological treatments.
Read More...Molecular Dynamics Simulations of Periplasmic Proteins Interacting With the Peptidoglycan Layer of Escherichia coli
Molecular dynamics (MD) simulations are a great tool to model and study complex biological systems. In this paper, the authors use MD simulations to construct and simulate a model of the periplasmic space, the peptidoglycan layer and its associated proteins, in an Escherichia coli cell.
Read More...An accessible experiment to assess the impact of shapes of buildings and roofs on wind resistance
In this study, the authors determine which house model is most resistant to high winds by building smaller prototypes that could be tested with a handheld source of wind.
Read More...DNA-SEnet: A convolutional neural network for classifying DNA-asthma associations
In this study, the authors developed a model named DNA Sequence Embedding Network (DNA-SEnet) to classify DNA-asthma associations using their genomic patterns.
Read More...In vitro dissolution and in vivo response of pseudoephedrine dosage forms
The authors looked at how pharmacokinetics changed depending on the use of an in vitro or an in vivo model.
Read More...Observing food and density effects on the reproductive strategies of Heterandria formosa
The authors looked at the impact of different harvest and feeding treatments on Heterandria formosa over three generations as a model for changes in marine ecosystems.
Read More...Investigating the impact of short-chain fatty acids on myofiber dynamics and insulin sensitivity
The authors looked at the impacts of short-chain fatty acids on muscle fiber formation as well as insulin sensitivity using a model of mouse myoblasts.
Read More...Reduced psoriasis skin irritation symptoms through the effects of Chinese herbal medicines on planarians
The authors looked at whether traditional Chinese medicine remedies that target the lungs and liver would reduce inflammation in a planaria model. They found that the two active compounds they tested were able to decrease induced inflammation by 97-98%.
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