In this study, the authors created a survey to assess misconceptions and knowledge deficits regarding cardiovascular diseases exist among US adults and minors.
Read More...Misconceptions regarding heart disease are prevalent among american adults and minors
In this study, the authors created a survey to assess misconceptions and knowledge deficits regarding cardiovascular diseases exist among US adults and minors.
Read More...Impact of dams in Santa Clara County on the nitrification of the surrounding ecosystem
Two dams in Santa Clara County were evaluated for water and soil nitrate levels in order to determine whether nitrification rates were higher upstream than downstream of the dam. This could indicate a detrimental effect of dams on the nitration cycle in the environment.
Read More...The effects of container materials on food microwave heat times
The authors analyzed the heat transfer of different containers in the microwave aiming to identify the most optimal material of container to reduce heating time.
Read More...Sector Dynamics: Equity and fixed-income performance across market cycles
The authors examined the relationships between S&P 500 Technology and Financials equity sectors and their corresponding investment-grade fixed-income markets from 1995 to 2025.
Read More...A five-year retrospective analysis of Tuberculosis risk factors and their variability in the United States
The main goal of this study is to determine what demographics are related to tuberculosis incidence in the United States populations, particularly if changing demographics are related to differences in tuberculosis risk over two discrete time periods. The major finding is that in the two studied time periods, tuberculosis risk factors were somewhat consistent and may be influenced by things such as immigration, healthcare access, and race or ethnicity, although the top predictor did change.
Read More...Assessing machine learning model efficacy for brain tumor MRI classification: a multi-model approach
This manuscript explores the performance of five different machine learning models in classifying brain tumors from a dataset of MRI scans. The authors find that several of the models showed >90% accuracy. Thus, the authors suggest that machine learning models demonstrate potential for effective implementation in clinical settings, including as a diagnostic tool that can be used to complement the expertise of neuroradiologists.
Read More...An evaluation of the trends in U.S. maternal deaths based on abortion policies from 2018 to 2021
Here the authors evaluate the relationship between state-level abortion policies and maternal mortality across the United States from 2018 to 2021. Their findings reveal that states with restrictive abortion laws consistently experienced higher maternal mortality ratios than those with protective policies, culminating in a 72% increase in deaths within restrictive states by the end of the study period.
Read More...High school students’ perceptions of third-party tracking and personalization
The authors looked at student perception on various situations involving third-party tracking to personalize recommendations.
Read More...Sloan green and red photometry of the Type Ia supernova 2024neh
Analysis of the Sloan green and red photometry of the Type Ia supernova 2024neh
Read More...Examining the impact of the sympathetic nervous system on short-term memory
The authors looked at how activation of the sympathetic nervous system impacts short-term memory.
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