This project investigated whether previously identified genetic risk factors in non-Korean populations were associated with high gastric cancer incidence rates in Koreans.
Read More...Investigating the contribution of genetic risk factors to gastric cancer in Korean-ancestry populations
This project investigated whether previously identified genetic risk factors in non-Korean populations were associated with high gastric cancer incidence rates in Koreans.
Read More...Investigating intertidal sediment sorting and median particle diameter variation on an eroding beach face
The authors looked at beach nourishment (a way to combat erosion on coasts) and resulting grain size distribution. Their work is important to understand the dynamics of erosion and it's relation to wave action and the implications this has for efforts to mitigate coastal erosion.
Read More...The effect of patient perception of physician on patient compliance
The authors investigated whether the physician-patient relationship affected patient perceptions and treatment adherence.
Read More...Enhancing the quantum efficiency of a silicon solar cell using one dimensional thin film interferometry
Here, recognizing the need to improve the efficiency of the conversion of solar energy to electrical energy, the authors used MATLAB to mathematically simulate a multi-layered thin film with an without an antireflective coating. They found that the use of alternating ZnO-SiO2 multilayers enhanced the transmission of light into the solar cell, increasing its efficiency and reducing the reflectivity of the Si-Air interface.
Read More...Locating sources of a high energy cosmic ray extensive air shower using HiSPARC data
Using the data provided by the University of Twente High School Project on Astrophysics Research with Cosmics (HiSPARC), an analysis of locations for possible high-energy cosmic ray air showers was conducted. An example includes an analysis conducted of the high-energy rain shower recorded in January 2014 and the use of Stellariumâ„¢ to discern its location.
Read More...Implementing machine learning algorithms on criminal databases to develop a criminal activity index
The authors look at using publicly available data and machine learning to see if they can develop a criminal activity index for counties within the state of California.
Read More...Optimizing 3D printing parameters: Evaluating infill type and layer height effects on tensile fracture force
In this study, the authors test different infill patterns to determine which would be the strongest and most durable for 3D printing applications, which have become an integral part of many facets of life.
Read More...Deep sequential models versus statistical models for web traffic forecasting
The authors looked at ways to provide better forecasting on website traffic. They found that deep learning models performed better than statistical models.
Read More...Enhanced brain arteries and aneurysms analysis using a CAE-CFD approach
Here, recognizing that brain aneurysms pose a severe threat, often misdiagnosed and leading to high mortality, particularly in younger individuals, the authors explored a novel computer-aided engineering approach. They used magnetic resonance angiography images and computational fluid dynamics, to improve aneurysm detection and risk assessment, aiming for more personalized treatment.
Read More...Does emotion regulation moderate the relationship between self-esteem and social desirability?
The authors investigate the relationship between self-esteem, social desirability, and emotion regulation in children and adolescents.
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