In the numerous agricultural information technologies, agricultural knowledge system has become an important part of the agricultural intelligent information technology (AIIT). This paper introduces the composition and working principle of the development tool for the binary tree-based knowledge system and…

According to the development trend of the act of China's current strategic alliance, this paper elaborates the reason why the success rate of strategic alliance is not high from game theory. The mathematical model based on prisoner's dilemma game and…

Knowledge reduction is one of the important research issues in rough set theory,which applies knowledge reduction theory to reduction the massive task sets in Gloud storage. Atfirst, an equivalence class evolved from subviews will be obtained after task update, Then,…

In 1956, Tecia solanivora was reported by the first time in Central America. This Lepidopteran insect of the Gelechiidae family was found to severely damage potato crops (Solanum tuberosum), which adversely affected local economy. Although this insect has reduced mobility, it has…

La cooperación internacional está redefiniendo una vez más su arquitectura como herramienta de ayuda al desarrollo. Sus procesos y políticas atraviesan un álgido momento de cambio, caracterizado por dos escenarios determinantes: los suscitados debates sobre la eficacia y la calidad…

The United States is struggling to provide health care in the face of ever increasing demand. As medical students continue their decades long march toward specialization, questions of how to provide generalist care become quickly intertwined with that of who…

In this thesis we develop and test methods for numerically evolving hydrodynamics coupled to the Einstein field equations, and then apply them to several problems in gravitational physics and astrophysics. The hydrodynamics scheme utilizes high-resolution shock-capturing techniques with flux corrections…

Single-particle reconstruction of vitrified samples (cryogenic electron microscopy, or









cryo-EM) provides structural information for a large variety of biological molecules,









ranging from…

Machine learning is the science of discovering knowledge from data and making decisions based on this learnt structure. It has grown into a broad discipline that has established many statistical and computational learning principles. We are surrounded by the applications…

The aim of this thesis is to develop methods for variable selection and statistical prediction for high dimensional statistical problems. Along with proposing new and innovative procedures, this thesis also focuses on the theoretical properties of the proposed methods and…