The authors looked at variables associated with identity fraud in the US. They found that national unemployment rate and online banking usage are among significant variables that explain identity fraud.
Read More...Understanding the battleground of identity fraud
The authors looked at variables associated with identity fraud in the US. They found that national unemployment rate and online banking usage are among significant variables that explain identity fraud.
Read More...Investigating the impact of electrocardiography biofeedback on POTS symptom management
The authors test electrocardiography biofeedback as a treatment for individuals with Postural Orthostatic Tachycardia Syndrome.
Read More...Therapy dogs effectively reduce stress in college preparatory students
In this article the authors looked at the effect of spending time with a therapy dog before and after stressful events. They found that interacting with a therapy before a stressful event showed more significant reduction in signs of stress compared to interacting with a therapy dog after stressful events have already occurred.
Read More...A novel approach for predicting Alzheimer’s disease using machine learning on DNA methylation in blood
Here, recognizing the difficulty associated with tracking the progression of dementia, the authors used machine learning models to predict between the presence of cognitive normalcy, mild cognitive impairment, and Alzheimer's Disease, based on blood DNA methylation levels, sex, and age. With four machine learning models and two dataset dimensionality reduction methods they achieved an accuracy of 53.33%.
Read More...The effect of sports on teenagers’ depression symptoms during the COVID-19 pandemic
Here, seeking to identify the possible role of sports in helping teenagers navigate the troubles associated with societal changes during a pandemic, the authors surveyed 50 adolescents to collect Beck Depression Inventory scores. They found that 9 out of students with severe depressions did not do sports, while no significant relationship between depressive symptoms and either gender or place of exercise was observed.
Read More...Weather-based power outage prediction in New York City: An ensemble machine learning approach
This study contributes to our understanding of how urban energy systems respond to climate variability and inform strategies for enhancing power grid resilience. The findings can help inform urban planners and infrastructure developers by identifying the factors that make regions within a power grid more vulnerable.
Read More...How to improve at chess: Uncovering insights using regression analysis
The authors looked at how different factors related to practicing and playing chess would impact a player's rating.
Read More...Silver armor against bacteria: A battle of antimicrobial effectiveness
Pathogenic bacteria cause major economic losses in agriculture, and widespread antibiotic use has led to increasing resistance. This study tested whether a low-cost DIY method could produce antibacterial colloidal silver effective against both Gram-negative and Gram-positive plant pathogens.
Read More...The correlation between the phase of the moon and the number of psychiatric patients admitted to the hospital
The authors looked at if there was any correlation between the phase of the moon and admissions for psychiatric concerns.
Read More...Investigating the connection between free word association and demographics
Utilization of neural network to analyze Free Word Association to predict accurately age, gender, first language, and current country.
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