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Analysis of complement system gene expression and outcome across the subtypes of glioma

Mudda et al. | May 17, 2023

Analysis of complement system gene expression and outcome across the subtypes of glioma
Image credit: National Cancer Institute

Here the authors sought to better understand glioma, cancer that occurs in the glial cells of the brain with gene expression profile analysis. They considered the expression of complement system genes across the transcriptional and IDH-mutational subtypes of low-grade glioma and glioblastoma. Based on their results of their differential gene expression analysis, they found that outcomes vary across different glioma subtypes, with evidence suggesting that categorization of the transcriptional subtypes could help inform treatment by providing an expectation for treatment responses.

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Investigating KNOX Gene Expression in Aquilegia Petal Spur Development

Hossain et al. | Feb 03, 2014

Investigating KNOX Gene Expression in Aquilegia Petal Spur Development

Plants, and all other multi-cellular organisms, develop through the coordinated action of many sets of genes. The authors here investigate the genes, in a class named KNOX, potentially responsible for organizing a certain part of Aquilegia (columbine) flowers called petal spurs. Through the technique Reverse Transcription-Polymerase Chain Reaction (RT-PCR), they find that certain KNOX genes are expressed non-uniformly in petal spurs, suggesting that they may be involved, perhaps in a cell-specific manner. This research will help guide future efforts toward understanding how many beautiful flowers develop their unique shapes.

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The effect of wild orange essential oil on ascorbic acid decay in freshly squeezed orange juice

Sebek et al. | Feb 25, 2022

The effect of wild orange essential oil on ascorbic acid  decay in freshly squeezed orange juice

The goal of this project was to see if the addition of wild orange essential oil to freshly squeezed orange juice would help to slow down the decay of ascorbic acid when exposed to various temperatures, allowing vital nutrients to be maintained and providing a natural alternative to the chemical additives in use in industry today. The authors hypothesized that the addition of wild orange essential oil to freshly squeezed orange juice would slow down the rate of oxidation when exposed to various temperatures, reducing ascorbic acid decay. On average, wild orange EO slowed down ascorbic acid decay in freshly squeezed orange juice by 15% at the three highest temperatures tested.

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Developing novel plant waste-based hydrogels for skin regeneration and infection detection in diabetic wounds

Mathew et al. | Aug 10, 2023

Developing novel plant waste-based hydrogels for skin regeneration and infection detection in diabetic wounds

The purpose of this investigation is to develop a hydrogel to aid skin regeneration by creating an extracellular matrix for fibroblast growth with antibacterial and infection-detection properties. Authors developed two natural hydrogels based on pectin and potato peels and characterized the gels for fibroblast compatibility through rheology, scanning electron microscopy, swelling, degradation, and cell cytotoxicity assays. Overall, this experiment fabricated various hydrogels capable of acting as skin substitutes and counteracting infections to facilitate wound healing. Following further testing and validation, these hydrogels could help alleviate the 13-billion-dollar financial burden of foot ulcer treatment.

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The Perks of Watching a Movie: How the Portrayal of Anxiety and Depression in Film Affects Teenagers’ Perception of Anxiety and Depressive Disorders

Wolcott et al. | Sep 11, 2021

The Perks of Watching a Movie: How the Portrayal of Anxiety and Depression in Film Affects Teenagers’ Perception of Anxiety and Depressive Disorders

In film, anxiety and depressive disorders are often depicted inaccurately. When viewers are exposed to these inaccurate portrayals, they collect misinformation about the disorders, as well as people who live with them, leading to stigma. This study used a mixed-method descriptive approach to analyze 16 teenagers’ attitudes towards people with anxiety and depression. Results found that while participants understood how these portrayals create stigma, they did not attribute this to misinformation. These results can be used to help both the film industry and the movie-going public better understand the effects of inaccurate storytelling and the extent to which it informs public perception

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Risk assessment modeling for childhood stunting using automated machine learning and demographic analysis

Sirohi et al. | Sep 25, 2022

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.

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Effects of an Informational Waste Management App on a User’s Waste Disposal Habits

Rao et al. | Apr 28, 2021

Effects of an Informational Waste Management App on a User’s Waste Disposal Habits

While 75% of waste in the United States is stated to be recyclable, only about 34% truly is. This project takes a stance to combat the pillars of mismanaged waste through a modern means of convenience: the TracedWaste app. The purpose of this study was to identify how individuals' waste disposal habits improved and knowledge increased (i.e. correctly disposing of waste, understanding negative incorrect waste disposal) due to their use of an informational waste management app as measured by a survey using a 1-5 Likert Scale. The results showed that the TracedWaste app helped conserve abundant resources such as energy and wood, decrease carbon emissions, and minimize financial toll all through reducing individual impact.

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Jet optimization using a hybrid multivariate regression model and statistical methods in dimuon collisions

Chunduri et al. | Jun 09, 2024

Jet optimization using a hybrid multivariate regression model and statistical methods in dimuon collisions
Image credit: Chunduri, Srinivas and McMahan, 2024.

Collisions of heavy ions, such as muons result in jets and noise. In high-energy particle physics, researchers use jets as crucial event-shaped observable objects to determine the properties of a collision. However, many ionic collisions result in large amounts of energy lost as noise, thus reducing the efficiency of collisions with heavy ions. The purpose of our study is to analyze the relationships between properties of muons in a dimuon collision to optimize conditions of dimuon collisions and minimize the noise lost. We used principles of Newtonian mechanics at the particle level, allowing us to further analyze different models. We used simple Python algorithms as well as linear regression models with tools such as sci-kit Learn, NumPy, and Pandas to help analyze our results. We hypothesized that since the invariant mass, the energy, and the resultant momentum vector are correlated with noise, if we constrain these inputs optimally, there will be scenarios in which the noise of the heavy-ion collision is minimized.

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