The authors explored the effects of the Mount Laurel Doctrine on housing affordability, unemployment rate, and civilian labor force in Burlington County, New Jersey compared to nearby counties.
Read More...The Mount Laurel doctrine: A case study in housing affordability and the labor market in New Jersey
The authors explored the effects of the Mount Laurel Doctrine on housing affordability, unemployment rate, and civilian labor force in Burlington County, New Jersey compared to nearby counties.
Read More...Evaluating the relationship between United States housing prices and United States markets
The authors assessed the correlation between the stock, commodity, and consumer markets with the housing market.
Read More...Investigating consumers’ motivations for luxury brand consumption and its impact on mental health
The luxury market has grown through digital marketing, with many brands benefiting from exclusivity, which limits product availability. While exclusivity boosts sales, it may negatively affect consumers' mental health. This study of 129 respondents explored the main motivation for purchasing luxury goods and connection to mental health.
Read More...Quantum-inspired neural networks enhance stock prediction accuracy
The authors developed a quantum inspired model for stock market fluctuations.
Read More...PCR technology for screening genetically modified soybeans
In order to determine whether unmarked soybeans in the market were genetically modified crops, the authors developed a polymerase chain reaction (PCR) screen for DNA lectin.
Read More...OLED Screens Better Exhibit the Color Black than LCD Screens
There are two types of competing TV screens on the market, organic light emitting diode (OLED) and liquid crystal display (LCD). The better capability to exhibit black results in higher contrast images. Here, authors compared the ability of the two types of screens to show black in an environment eliminating external light.
Read More...Genetic algorithm based features selection for predicting the unemployment rate of India
The authors looked at using genetic algorithms to look at the Indian labor market and what features might best explain any variation seen. They found that features such as economic growth and household consumption, among others, best explained variation.
Read More...Testing the Impact of a Geometric Curvature Variable on the Accuracy of Econometric Forecasting Models
Classical financial forecasting models often fail to capture the complex, nonlinear dynamics of the stock market. This study demonstrates that incorporating a single variable to represent the 'geometric curvature' of a time series dramatically improves the accuracy of standard econometric forecasts. Our findings highlight that geometric properties are a significant predictive factor, opening new avenues for more powerful financial modeling.
Read More...Use of yogurt bacteria as a model surrogate to compare household cleaning solutions
While resources on the safety of household cleaning products are plentiful, measures of efficacy of these cleaning chemicals against bacteria and viruses remain without standardization in the consumer market. The COVID pandemic has exasperated this knowledge gap, stoking the growth of misinformation and misuse surrounding household cleaning chemicals. Arriving at a time dire for sanitization standardization, the authors of this paper have created a quantifying framework for consumers by comparing a wide range of household cleaning products in their efficacy against bacteria generated by a safe and easily replicable yogurt model.
Read More...Using economic indicators to create an empirical model of inflation
Here, seeking to understand the correlation of 50 of the most important economic indicators with inflation, the authors used a rolling linear regression to identify indicators with the most significant correlation with the Month over Month Consumer Price Index Seasonally Adjusted (CPI). Ultimately the concluded that the average gasoline price, U.S. import price index, and 5-year market expected inflation had the most significant correlation with the CPI.
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