Ordering and Pricing Decisions Considering Capital Constraint and Loss aversion -- Research on the Transfer Effect of Manufacturing Industry in Beijing-Tianjin-Hebei Urban Agglomeration under the Background of Carbon -- Bank Resilience and Risk-taking Behavior.

This study provides the first causal analysis of the impact of expanding Computer Science (CS) education in U.S. K-12 schools on students' choice of college major and early career outcomes. Utilizing rich longitudinal data from Maryland, we exploit variation from the staggered rollout of CS...

An Empirical Research on Factors Affecting the Liquid-ity of Listed Construction and Materials Firms: Evalua-tion from Quantile Regression Model -- The choice between accrual and real manipulation around information uncertainty -- Capital Structure, Financial Risk, and Operational Ef-ficiency:...

Introduction -- Ad-hoc and Sensor Networks -- Ambient Intelligence -- Analysis of energy consumption patterns -- Based Human-Computer Interaction -- Biomedical Applications in Molecular, Structural, and Function Imaging -- Biomedical Signal Processing and Analysis, Computer-Aided Diagnosis --...

The Systems Development Life Cycle (SDLC) is generally interpreted as the set of procedures that transform inputs into outputs and as the method by which information systems are built. In the software development industry, the SDLC not only produces information systems but also is itself a type...

Intelligent Product Recommendation Agents have been used for some time now by large, well known Internet businesses such as Amazon and Netflix. Unfortunately there is little research assessing the effectiveness of these systems in influencing online consumer behavior. Businesses that sell...

Peer-to-peer systems, networks of egalitarian nodes without a central authority, can achieve massive scalability and fault tolerance through the pooling together of individual resources. Unfortunately, most nodes represent self-interested, or rational, parties that will attempt to maximize their...

Source: Dissertation Abstracts International, Volume: 67-10, Section: B, page: 5855.

Source: Dissertation Abstracts International, Volume: 52-07, Section: B, page: 3718.

The problem of learning a latent model for sparse or low-dimensional representation of high-dimensional data has attracted significant attention for many years. This thesis focuses on learning latent models for sparse or low-dimensional representation of images, dynamic data, and documents with...