Impact of carbon tax and dividend on financial security
Read More...Analyzing carbon dividends’ impact on financial security via ML & metaheuristic search
Impact of carbon tax and dividend on financial security
Read More...Comparative life cycle analysis: Solvent recycling and improved dewatering scenarios in PHB plastic production
The authors looked at alternative production processes for PHB plastic in an effort to reduce environmental impact. They found that no alternative process was able to significantly decrease the environmental impact of PHB production, but that optimizing dewatering steps during production could lead to the largest improvement on environmental impact.
Read More...Levering machine learning to distinguish between optimal and suboptimal basketball shooting forms
The authors looked at different ways to build computational resources that would analyze shooting form for basketball players.
Read More...Designing gRNAs to reduce the expression of the DMPK gene in patients with classic myotonic dystrophy
The authors describe the design and testing of new guide RNAs targeting the DMPK gene, which is responsible for myotonic dystrophy.
Read More...Efficacy of natural coagulants in reducing water turbidity under future climate change scenarios
Here the authors investigated the effects of natural coagulants on reducing the turbidity of water samples from the Tennessee River Watershed. They found that turbidity reduction was higher at lower temperatures for eggshells. They then projected and mapped turbidity reactions under two climate change scenarios and three future time spans for eggshells. They found site-specific and time-vary turbidity reactions using natural coagulants could be useful for optimal water treatment plans.
Read More...Diagnosis and treatment delay in patients with OCD in the United States over the past three decades
Obsessive-compulsive disorder (OCD) can cause significant impairment, and studies indicate that delays in diagnosis and treatment lead to worse outcomes. This study aimed to assess whether these delays have improved over the past three decades and to identify their causes.
Read More...Uncovering the hidden trafficking trade with geographic data and natural language processing
The authors use machine learning to develop an evidence-based detection tool for identifying human trafficking.
Read More...Investigating momentum transfer with gall-forming wasps
The authors use the unique movements of the jumping gall wasp to study momentum transfer with potential applications in robotics and extraterrestrial research.
Read More...Machine learning for retinopathy prediction: Unveiling the importance of age and HbA1c with XGBoost
The purpose of our study was to examine the correlation of glycosylated hemoglobin (HbA1c), blood pressure (BP) readings, and lipid levels with retinopathy. Our main hypothesis was that poor glycemic control, as evident by high HbA1c levels, high blood pressure, and abnormal lipid levels, causes an increased risk of retinopathy. We identified the top two features that were most important to the model as age and HbA1c. This indicates that older patients with poor glycemic control are more likely to show presence of retinopathy.
Read More...The frequency and psychological effects of name mispronunciation in an independent school
The authors survey high school students regarding the frequency of microaggressions such as name mispronunciation.
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