Research Based on Genotype Representation Graph (GRG): A New Framework to Enhance Biobank-Scale Data Analysis Efficiency Academic Background and Research Motivation With the rapid advancement of sequencing technologies, the collection of large-scale genomic data has become increasingly common, especially in the field of human disease association st...
Research on Deep Learning Framework for Spin-Symmetry-Enforced Solutions to the Many-Body Schrödinger Equation: A Groundbreaking Achievement In the fields of quantum physics and quantum chemistry, the description of many-body electron systems has always been an important yet highly challenging topic. Accurately characterizing strong electron-electr...
Predicting the Emergence of Crystals from Amorphous Precursors: Deep Learning Empowers Breakthroughs in Materials Science Background Introduction The process of crystallization from amorphous materials holds significant importance in both natural and laboratory settings. This phenomenon is widespread in various processes ranging from geological to ...
Exploring Biomarkers and Biosensors for Motion Sickness: Innovative Approaches to Diagnostic Challenges Motion sickness (MS) is a common syndrome experienced by humans, triggered by unnatural motions such as those encountered during transportation or virtual reality (VR). It manifests through symptoms like headaches, nausea, vomiting, cold sweats, ...
Can Large Language Models Tackle Misinformation? — In-Depth Research on LLMs In today’s digital era of rapid information dissemination, the spread of misinformation and fake news has become a significant societal challenge. The widespread use of the internet and social media has dramatically lowered the barriers to information sharing, enabling any...
In-Depth Exploration of Sector-Based Pairs Trading Strategies and Innovative Pair Selection Techniques Background and Research Objectives Pairs Trading Strategy (PTS) is a widely used financial arbitrage strategy that leverages the relative performance of two highly correlated stocks to profit from temporary price deviations. The core concept of tr...