Browse Articles

Pressure and temperature influence the efficacy of metal-organic frameworks for carbon capture and conversion

Lin et al. | May 07, 2023

Pressure and temperature influence the efficacy of metal-organic frameworks for carbon capture and conversion

Metal-organic frameworks (MOFs) are promising new nanomaterials for use in the fight against climate change that can efficiently capture and convert CO2 to other useful carbon products. This research used computational models to determine the reaction conditions under which MOFs can more efficiently capture and convert CO2. In a cost-efficient manner, this analysis tested the hypothesis that pressure and temperature affect the efficacy of carbon capture and conversion, and contribute to understanding the optimal conditions for MOF performance to improve the use of MOFs for controlling greenhouse CO2 emissions.

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Inhibiting the ERK pathway and the TRPM7 ion channel in gastric and bladder cancer cells

Yang et al. | Oct 14, 2021

Inhibiting the ERK pathway and the TRPM7 ion channel in gastric and bladder cancer cells

In this work the authors investigate new possible treatment methods for gastric and bladder cancers. They specifically targeted the transient receptor potential cation subfamily M member 7 (TRPM7), an ion channel that plays an important role in the survival of both of these cancers, and extracellular regulated kinases (ERKs),which contributes to the carcinogenesis of many cancers including gastric cancer. As a result, the authors consider the effects of Ginsenoside Rd, NS8593, curcumin, and icariin , known to inhibit TRPM7 and ERK. The authors found that these treatments decrease proliferation and induce apoptosis in studies of gastric and bladder cancer cells.

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Are Teens Willing to Pay More for Their Preferred Goods?

Johnson et al. | Sep 28, 2019

Are Teens Willing to Pay More for Their Preferred Goods?
Image credit: Blake Wisz

Each day we are flooded with new items that promise us a better experience at a better price. This forces buyers to continuously chose between sticking to what they know, or trying something new. In turn, companies need to be aware of the factors affecting consumer choices, that too within the different fractions of society. In this study the authors investigate the effect of survey-based price setting on profits made based on African American teen purchases, and how African-American teen loyalty to a particular brand affects their willingness to pay a higher price than the market average for their preferred brand items.

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Evaluating the antimicrobial activity of maitake mushroom extract against Staphylococcus epidermidis

Shamsudeen et al. | Oct 06, 2024

Evaluating the antimicrobial activity of maitake mushroom extract against <i>Staphylococcus epidermidis</i>
Image credit: Guido Blokker

Here, seeking to explore new antimicrobial therapies, the authors investigated the antimicrobial activity of Maitake mushroom extract against Staphylococcus epidermidis, a common cause of antibiotic resistant hospital-acquired infections. They found that Maitake extract showed potent antimicrobial activity, with higher concentrations showing inhibition comparable to tetracycline.

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Creating a Phenology Trail Around Central Park Pond

Flynn et al. | Jul 16, 2020

Creating a Phenology Trail Around Central Park Pond

This study aimed to determine whether the life cycle stages, or phenophases, of some plants in the urban environment of Central Park, New York, differ from the typical phenophases of the same plant species. The authors hypothesized that the phenophases of the thirteen plants we studied would differ from their typical phenophases due to the urban heat island effect. Although the phenophases of five plants matched up with typical trends, there were distinct changes in the phenophases of the other eight, possibly resulting from the urban heat island effect.

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Predicting baseball pitcher efficacy using physical pitch characteristics

Oberoi et al. | Jan 11, 2024

Predicting baseball pitcher efficacy using physical pitch characteristics
Image credit: Antoine Schibler

Here, the authors sought to develop a new metric to evaluate the efficacy of baseball pitchers using machine learning models. They found that the frequency of balls, was the most predictive feature for their walks/hits allowed per inning (WHIP) metric. While their machine learning models did not identify a defining trait, such as high velocity, spin rate, or types of pitches, they found that consistently pitching within the strike zone resulted in significantly lower WHIPs.

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