Joint analysis of multiple correlated phenotypes for genome-wide association studies (GWAS) can identify and interpret pleiotropic loci which are essential to understand pleiotropy in diseases and complex traits.Meanwhile, constructing a network based on associations between phenotypes and genotypes provides a new insight to analyze Pasta Bowl mult
Burnout, Resilience, and COVID-19 among Teachers: Predictive Capacity of an Artificial Neural Network
Emotional exhaustion, cynicism, and work inefficiency are three dimensions that define burnout syndrome among teachers.On another note, resilience can be understood as the ability to adapt to the environment and overcome adverse situations.In addition, COVID-19 has provided a threatening environment that has led to the implementation of resilience
Exploring finite temperature properties of materials with quantum computers
Abstract Thermal properties of nanomaterials are Birthing aids crucial to not only improving our fundamental understanding of condensed matter systems, but also to developing novel materials for applications spanning research and industry.Since quantum effects arise at the nano-scale, these systems are difficult to simulate on classical computers.Q
Intelligent Sea States Identification Based on Maximum Likelihood Evidential Reasoning Rule
It is necessary to switch the control strategies for propulsion system frequently according to the changes of sea states in order to ensure the stability and safety of the navigation.Therefore, identifying the current sea state timely and effectively is of great significance to ensure ship safety.To this end, a reasoning model that is based on maxi