Vicinal dithioethers and alkenyl thioethers were synthesized under environmentally
friendly conditions using alkyne and thiol in water. Alkynes were also used to develop a
multibond-fonning reaction that fonned cyclic ketones or ketoesters through...
Our research activities are based on the catalytic systems that provide resource-saving synthetic methodologies through gold-catalyzed reactions of alkynes and alkenes. We have worked on three applications: i) an effective and straightforward...
The objective of this thesis is to develop computer programs for the dynamic analysis of structures. For a shear building two computer programs were developed: (1) Dynamic Analysis of a Shear Building within the Elastic Range and (2) the Dynamic...
Industrial management--Data processing; Supervision of employees--Data processing; Decision making--Data processing
This paper models a realistic problem involving workforce assignment and training for a large manufacturing environment. In this particular environment, the workforce is undertrained and most assignments will result in necessary training. This...
Images, Photographic--Databases; Image processing--Digital techniques; Data mining; Cluster analysis
The performance of content-based image retrieval systems has proved to be inherently constrained by the used low level features, and cannot give satisfactory results when the user's high level concepts cannot be expressed by low level features. In...
This study expands our efforts to make a new class of Pt (II) compounds analogous to cisplatin and its derivatives using sterically hindered ligands. Pt compounds in this series have been synthesized using specially designed pyridine and...
Nonparametric statistics; Estimation theory; Distribution (Probability theory)
Multistate models are a type of multi-variate survival data which provide a framework for describing a complex system where individuals transition through a series of distinct states. This research focuses on nonparametric inference for general...
Clustered longitudinal data is often collected as repeated measurements on subjects over time arising in the clusters. Examples include longitudinal community intervention studies, or family studies with repeated measures on each member. Meanwhile,...
The advent of larger storage spaces, affordable digital capturing devices, and an ever growing online community dedicated to sharing images has created a great need for efficient analysis methods. In fact, analyzing images for the purpose of...
Pattern recognition systems; Cluster analysis; Data mining
Despite the large number of existing clustering methods, clustering remains a challenging task especially when the structure of the data does not correspond to easily separable categories, and when clusters vary in size, density and shape. Existing...
Down syndrome--Patients; Williams syndrome--Patients; Social interaction in children; Social perception in children
The present project examined the regulatory function of social referencing in two neurodevelopmental disorders that have been well defined genetically and are characterized by differing patterns of socio-cognitive development: Down syndrome (DS)...
To manage large image databases, Content-Based Image Retrieval (CBIR) emerged as a new research subject. CBIR involves the development of automated methods to use visual features in searching and retrieving. Unfortunately, the performance of most...
A k-term quasi-progression of diameter d is a sequence {Xl,... ,xk} for which there exists a positive integer l such that l < Xi-Xi-1 < l+d, for all i = 2, ... ,k. Quasi-progressions may be thought of as arithmetic progressions with a certain...
For complex classification systems, data is usually gathered from multiple sources of information that have varying degree of reliability. In fact, assuming that the different sources have the same relevance in describing all the data might lead to...
In this dissertation research, we aim to solve problems of two types of survival data, clustered survival data with potentially informative cluster size and sojourn time data. The methods for these two types of data are different. However, both...
The game of Snake has been selected to provide a unique application of the
TD( ) algorithm as proposed by Sutton. A reinforcement learning technique for
producing computer controlled players is documented. Using value function
approximation with...
Accelerated life testing; Reliability (Engineering); Service life (Engineering)
This dissertation is focused on finding lower confidence limits for the reliability of systems consisting of Wei bull components when the reliability demonstration testing (RDT) is conducted with zero failures. The usual methods for the parameter...
A common research interest in medical, biological, and engineering research is determining whether certain independent variables are correlated with the survival or failure times. Standard statistical techniques cannot usually be applied for...
