Guided by the theory of interpretive validity argument, this study investigated the plausibility and accuracy of five sets of warrants which were deemed crucial to the validity of a selfassessment (SA) scale designed and used in a local EFL context. Methodologically, this study utilized both the Rasch measurement theory and structural equation modeling (SEM) to examine the five warrants and the...

made important contributions to the work described in this dissertation. Acknowledgements In the last four years, during the time when I was working towards this thesis, there were both cheerful moments and tough moments. All these moments made this part of my life more colorful and more meaningful. I owe a lot of thanks to the people who guided me, who help me, who accompanied me, who shared t...

This paper introduces a new lattice quantization scheme, the multiple-scale lattice vector quantization (MSLVQ), based on the truncation of the D 10 lattice. The codebook is composed of several copies of the truncated lattice scaled with different scaling factors. A fast nearest neighbor search is introduced. We compare the performance of predictive MSLVQ for quantization of LSF coefficients wi...

The increasing size of datasets in drug discovery makes it challenging to build robust and accurate predictive models within a reasonable amount of time. In order to investigate the effect of dataset sizes on predictive performance and modelling time, ligand-based regression models were trained on open datasets of varying sizes of up to 1.2 million chemical structures. For modelling, two implem...

In this report, model predictive control (MPC) of large-scale sewage systems is addressed considering different modelling approaches that include several inherent continuous/discrete phenomena (overflows in sewers and tanks) and elements (weirs) in the system that result in distinct behaviour depending on the dynamic state (flow/volume) of the network. These behaviours can not be neglected nor ...

A feature scale simulator for atomic layer deposition (ALD) is presented that combines a Boltzmann equation transport model with chemistry models. A simple but instructive chemistry is considered; one reactant species adsorbs onto the surface, and a second reactant reacts with it from the gas phase (Eley–Rideal). This work includes potential desorption of the adsorbed species during purge steps...

The proliferation of massive datasets combined with the development of sophisticated analytical techniques have enabled a wide variety of novel applications such as improved product recommendations, automatic image tagging, and improved speech-driven interfaces. These and many other applications can be supported by Predictive Analytic Queries (PAQs). A major obstacle to supporting PAQs is the c...

Model Predictive Control(MPC) is widely used, especially in the chemical process industry. Model Predictive Controllers calculate the optimal control inputs at each time step, based on past information, a plant model, a quadratic objective and given constraints. Typically this involves solving a large linearly constrained quadratic program(LCQP) at each time step. Standard methods turn out to b...

OBJECTIVE This study examines the predictive validity of the action/intention subscale of the attitudes toward seeking medical help scale in a college sample. PARTICIPANTS Participants were 51 female undergraduates recruited from psychology classes. Data were collected at two time points between January and April, 2011. METHODS Students completed the attitudes subscale and a measure of medi...

We show how to predict flow properties for a variety of rocks using pore-scale modeling with geologically realistic networks. The pore space is represented by a topologically disordered lattice of pores connected by throats that have angular cross-sections. We successfully predict single-phase non-Newtonian rheology, and two and three-phase relative permeability for water-wet media. The pore si...