No description available.

The specific purposes investigated were to ascertain the effect of training in interaction analysis upon the levels of 1. accurate empathy in teachers, 2. nonpossissive warmth in teachers, 3. genuineness in teachers, and 4. an analysis of the relationship between interaction analysis and the interpersonal behavior of the classroom teacher in view of its implications in teacher education.

Conventional correlation methods suffer from the slow convergence of electron correlation energies with respect to the size of orbital expansions. This problem is due to the fact that orbital products alone cannot describe the behavior of the exact wave function at short inter-electronic distances. Explicitly correlated methods overcome this basis set problem by including the inter-electronic distances (rij) explicitly in wave function expansions. Here, the origin of the basis set problem of conventional wave function methods is reviewed, and a short history of explicitly correlated methods is presented. The F12 methods are the focus herein, as they are the most practical explicitly correlated methods to date. Moreover, some of the key developments in modern F12 technology, which have significantly improved the efficiency and accuracy of these methods, are also reviewed. In this work, the extension of the perturbative coupled-cluster F12 method, CCSD(T)F12, developed in our group for the treatment of high-spin open-shell molecules (J. Zhang and E. F. Valeev, J. Chem. Theory Comput., 2012, 8, 3175.), is also documented. Its performance is assessed for accurate prediction of chemical reactivity. The reference data include reaction barrier heights, electronic reaction energies, atomization energies, and enthalpies of formation from the following sources: (1) the DBH24/08 database of 22 reaction barriers (Truhlar et al., J. Chem. Theory Comput., 2007, 3, 569.), (2) the HJO12 set of isogyric reaction energies (Helgaker et al., Modern Electronic Structure Theory, Wiley, Chichester, first ed., 2000.), and (3) the HEAT set of atomization energies and heats of formation (Stanton et al., J. Chem. Phys., 2004, 121, 11599.). Two types of analyses were performed, which target the two distinct uses of explicitly correlated CCSD(T) models: as a replacement for the basis-set-extrapolated CCSD(T) in highly accurate composite methods like HEAT and as a distinct model chemistry for standalone applications. Hence, (1) the basis set error of each component of the CCSD(T)F12 contribution to the chemical energy difference in question and (2) the total error of the CCSD(T)F12 model chemistry relative to the benchmark values are analyzed in detail. Two basis set families were utilized in the calculations: the standard aug-cc-p(C)VXZ (X = D, T, Q) basis sets for the conventional correlation methods and the cc-p(C)VXZ-F12 (X = D, T, Q) basis sets of Peterson and co-workers that are specifically designed for explicitly correlated methods. The conclusion is that the performance of the two families for CCSD correlation contributions (which are the only components affected by the explicitly correlated terms in our formulation) are nearly identical with triple- and quadruple-ζ quality basis sets, with some differences at the double-ζ level. Chemical accuracy (~4.18 kJ/mol) for reaction barrier heights, electronic reaction energies, atomization energies, and enthalpies of formation is attained, on average, with the aug-cc-pVDZ, aug-cc-pVTZ, cc- pCVTZ-F12/aug-cc-pCVTZ, and cc-pCVDZ-F12 basis sets, respectively, at the CCSD(T)F12 level of theory. The corresponding mean unsigned errors are 1.72 kJ/ mol, 1.5 kJ/mol, ~ 2 kJ/mol, and 2.17 kJ/mol, and the corresponding maximum unsigned errors are 4.44 kJ/mol, 3.6 kJ/mol, ~ 5 kJ/mol, and 5.75 kJ/mol. In addition to accurate energy calculations, our studies were extended to the computation of molecular properties with the MP2-F12 method, and its performance was assessed for prediction of the electric dipole and quadrupole moments of the BH, CO, H2O, and HF molecules (J. Zhang and E. F. Valeev, in preparation for submission). First, various MP2- F12 contributions to the electric dipole and quadrupole moments were analyzed. It was found that the unrelaxed one-electron density contribution is much larger than the orbital response contribution in the CABS singles correction, while both contributions are important in the MP2 correlation contribution. In contrast, the majority of the F12 correction originates from orbital response effects. In the calculations, the two basis set families, the aug-cc-pVXZ (X = D, T, Q) and cc-pVXZ-F12 (X = D, T, Q) basis sets, were also employed. The two basis set series show noticeably different performances at the double-ζ level, though the difference is smaller at triple- and quadruple-ζ levels. In general, the F12 calculations with the aug-cc- pVXZ series give better results than those with the cc-pVXZ-F12 family. In addition, the contribution of the coupling from the MP2 and F12 corrections was investigated. Although the computational cost of the F12 calculations can be significantly reduced by neglecting the coupling terms, this does increase the errors in most cases. With the MP2-F12C/aug-cc-pVDZ calculations, dipole moments close to the basis set limits can be obtained; the errors are around 0.001 a.u. For quadrupole moments, the MP2-F12C/aug-cc-pVTZ calculations can accurately approximate the MP2 basis set limits (within 0.001 a.u.). / Ph. D.

Yes / Accurate time perception is critical for a number of human behaviours, such as understanding speech and the appreciation of music. However, it remains unresolved whether sensory time perception is mediated by a central timing component regulating all senses, or by a set of distributed mechanisms, each dedicated to a single sensory modality and operating in a largely independent manner. To address this issue, we conducted a range of unimodal and cross-modal rate adaptation experiments, in order to establish the degree of specificity of classical after-effects of sensory adaptation. Adapting to a fast rate of sensory stimulation typically makes a moderate rate appear slower (repulsive after-effect), and vice versa. A central timing hypothesis predicts general transfer of adaptation effects across modalities, whilst distributed mechanisms predict a high degree of sensory selectivity. Rate perception was quantified by a method of temporal reproduction across all combinations of visual, auditory and tactile senses. Robust repulsive after-effects were observed in all unimodal rate conditions, but were not observed for any cross-modal pairings. Our results show that sensory timing abilities are adaptable but, crucially, that this change is modality-specific - an outcome that is consistent with a distributed sensory timing hypothesis.

The number of application specific instruction set processors is rapidly increasing, because of increased demand for low power and small area designs. A lot of new instruction sets are born, but they are usually confidential. University of California in Berkeley took an opposite approach. The RISC-V instruction set is completely free. This master's thesis focuses on analysis of RISC-V instruction set and two programming languages used to model instruction sets and microarchitectures, CodAL and Chisel. Implementation of RISC-V base instruction set along with multiplication, division and 64-bit address space extensions and implementation of cycle accurate model of Rocket Core-like microarchitecture in CodAL are main goals of this master's thesis. The instruction set model is used to generate the C compiler and the cycle accurate model is used to generate RTL representation, all thanks to Codasip Studio. Generated compiler is compared against the one implemented manually and results are used for instruction set optimizations. RTL is synthesized to Artix 7 FPGA and compared to the Rocket Core synthesis.

No description available.

Introduction: Tropical Cyclones (TCs) inflict considerable damage to life and property every year. A major problem is that residents often hesitate to follow evacuation orders when the early warning messages are perceived as inaccurate or uninformative. The root problem is that providing accurate early forecasts can be difficult, especially in countries with less economic and technical means. Aim: The aim of the thesis is to investigate how cyclone early warning systems can be technically improved. This means, first, identifying problems associated with the current cyclone early warning systems, and second, investigating if biologically based Artificial Neural Networks (ANNs) are feasible to solve some of the identified problems. Method: First, for evaluating the efficiency of cyclone early warning systems, Bangladesh was selected as study area, where a questionnaire survey and an in-depth interview were administered. Second, a review of currently operational TC track forecasting techniques was conducted to gain a better understanding of various techniques’ prediction performance, data requirements, and computational resource requirements. Third, a technique using biologically based ANNs was developed to produce TC track and intensity forecasts. Systematic testing was used to find optimal values for simulation parameters, such as feature-detector receptive field size, the mixture of unsupervised and supervised learning, and learning rate schedule. Five types of 2D data were used for training. The networks were tested on two types of novel data, to assess their generalization performance. Results: A major problem that is identified in the thesis is that the meteorologists at the Bangladesh Meteorological Department are currently not capable of providing accurate TC forecasts. This is an important contributing factor to residents’ reluctance to evacuate. To address this issue, an ANN-based TC track and intensity forecasting technique was developed that can produce early and accurate forecasts, uses freely available satellite images, and does not require extensive computational resources to run. Bidirectional connections, combined supervised and unsupervised learning, and a deep hierarchical structure assists the parallel extraction of useful features from five types of 2D data. The trained networks were tested on two types of novel data: First, tests were performed with novel data covering the end of the lifecycle of trained cyclones; for these test data, the forecasts produced by the networks were correct in 91-100% of the cases. Second, the networks were tested with data of a novel TC; in this case, the networks performed with between 30% and 45% accuracy (for intensity forecasts). Conclusions: The ANN technique developed in this thesis could, with further extensions and up-scaling, using additional types of input images of a greater number of TCs, improve the efficiency of cyclone early warning systems in countries with less economic and technical means. The thesis work also creates opportunities for further research, where biologically based ANNs can be employed for general-purpose weather forecasting, as well as for forecasting other severe weather phenomena, such as thunderstorms.

Žmonių mobilumui augant jiems tenka dirbti įvairiose aplinkose. Naudojama šnekos signalų atpažinimo įranga net ir skirtingose aplinkose turi užtikrinti tam tikro lygio signalų atpažinimo kokybę, tikslumą. Besiskiriančios aplinkų savybės gali sukelti nepriimtinus atpažinimo rezultatus. Darbo tikslas – išanalizuoti akustinių signalų atpažinimo įrenginio galimybes prisitaikyti prie kintančių aplinkos sąlygų bei pasiūlyti konstruktyvią prisitaikymo prie pakitusių aplinkos sąlygų metodiką. Darbe aprašomas akustinių signalų atpažintuvų prisitaikymo prie kintančių akustinių erdvių teorinis modelis. Pristatomos uždarų aplinkų akustinių savybių, įtakojančių akustinių signalų atpažinimą, vertinimo priemonės. Pateikiamas originalus akustinių aplinkų pasikeitimo momentų atpažinimo metodas, grindžiamas akustinių signalų atpažintuvų generuojamų signalų panaudojimu. Nustačius akustinių aplinkos savybių pasikeitimo momentą, pateikiami konstruktyvūs metodai akustinių signalų atpažinimo įrenginiui prisitaikyti atpažinti naujomis akustinėmis savybėmis pasižyminčioje aplinkoje generuojamus akustinius signalus. Aprašoma sukurta eksperimentinė sistema, kurios pagalba galima tirti įvairias akustinių signalų atpažinimo situacijas, prisitaikant prie pakitusių akustinių aplinkų savybių. Pateikiami atliktų eksperimentinių tyrimų rezultatai. / Due to the natural increase in everyday mobility, people face various work environments. The speech signal recognition system analysed, thus, has to ensure quality and accuracy in recognizing signals of certain level, even in different environments. Variation in environment qualities can bring unacceptable recognition results. The aim of the thesis is to analyse the potential of the acoustic signal recognition device to adjust to d environment conditions, and to propose a constructive methodology of adjusting to the changed environment conditions. A theoretical model of acoustic signal recognizers’ adjustment to changing acoustic environments is described in the work. Also, tools for evaluating enclosed environment acoustic characteristics that have an impact on acoustic signal recognition are presented. An original method of the shift in acoustic environments momenta is as well given in the work; the method is based on employing signals generated by the acoustic signals recognizers. Once the momentum of change in the acoustic environment characteristics is determined, effective methods for acoustic signal recognizer’s adaptation to recognizing acoustic signals in the environment possessing new acoustic characteristics are issued. The developed experimental system allowing exploration of various acoustic signal recognition situations by adapting to the changed acoustic environment characteristics is described. Results of the experimental investigations conducted are provided... [to full text]

Due to the natural increase in everyday mobility, people face various work environments. The speech signal recognition system analysed, thus, has to ensure quality and accuracy in recognizing signals of certain level, even in different environments. Variation in environment qualities can bring unacceptable recognition results. The aim of the thesis is to analyse the potential of the acoustic signal recognition device to adjust to d environment conditions, and to propose a constructive methodology of adjusting to the changed environment conditions. A theoretical model of acoustic signal recognizers’ adjustment to changing acoustic environments is described in the work. Also, tools for evaluating enclosed environment acoustic characteristics that have an impact on acoustic signal recognition are presented. An original method of the shift in acoustic environments momenta is as well given in the work; the method is based on employing signals generated by the acoustic signals recognizers. Once the momentum of change in the acoustic environment characteristics is determined, effective methods for acoustic signal recognizer’s adaptation to recognizing acoustic signals in the environment possessing new acoustic characteristics are issued. The developed experimental system allowing exploration of various acoustic signal recognition situations by adapting to the changed acoustic environment characteristics is described. Results of the experimental investigations conducted are... [to full text] / Žmonių mobilumui augant jiems tenka dirbti įvairiose aplinkose. Naudojama šnekos signalų atpažinimo įranga net ir skirtingose aplinkose turi užtikrinti tam tikro lygio signalų atpažinimo kokybę, tikslumą. Besiskiriančios aplinkų savybės gali sukelti nepriimtinus atpažinimo rezultatus. Darbo tikslas – išanalizuoti akustinių signalų atpažinimo įrenginio galimybes prisitaikyti prie kintančių aplinkos sąlygų bei pasiūlyti konstruktyvią prisitaikymo prie pakitusių aplinkos sąlygų metodiką. Darbe aprašomas akustinių signalų atpažintuvų prisitaikymo prie kintančių akustinių erdvių teorinis modelis. Pristatomos uždarų aplinkų akustinių savybių, įtakojančių akustinių signalų atpažinimą, vertinimo priemonės. Pateikiamas originalus akustinių aplinkų pasikeitimo momentų atpažinimo metodas, grindžiamas akustinių signalų atpažintuvų generuojamų signalų panaudojimu. Nustačius akustinių aplinkos savybių pasikeitimo momentą, pateikiami konstruktyvūs metodai akustinių signalų atpažinimo įrenginiui prisitaikyti atpažinti naujomis akustinėmis savybėmis pasižyminčioje aplinkoje generuojamus akustinius signalus. Aprašoma sukurta eksperimentinė sistema, kurios pagalba galima tirti įvairias akustinių signalų atpažinimo situacijas, prisitaikant prie pakitusių akustinių aplinkų savybių. Pateikiami atliktų eksperimentinių tyrimų rezultatai.

<p>Computational protein design aims at identifying protein mutations and conformations with desired target properties (such as increased protein stability, switch of substrate specificity, or novel function) from a vast combinatorial space of candidate solutions. The development of algorithms to efficiently and accurately solve problems in protein design has thus posed significant computational and modeling challenges. Despite the inherent hardness of protein design, a number of computational techniques have been previously developed and applied to a wide range of protein design problems. In many cases, however, the available computational protein design techniques are deficient both in computational power and modeling accuracy. Typical simplifying modeling assumptions for computational protein design are the rigidity of the protein backbone and the discretization of the protein side-chain conformations. Here, we present the derivation, proofs of correctness and complexity, implementation, and application of novel algorithms for computational protein design that, unlike previous approaches, have provably-accurate guarantees even when backbone or continuous side-chain flexibility are incorporated into the model. We also describe novel divide-and-conquer and dynamic programming algorithms for improved computational efficiency that are shown to result in speed-ups of up to several orders of magnitude as compared to previously-available techniques. Our novel algorithms are further incorporated as part of K*, a provably-accurate ensemble-based algorithm for protein-ligand binding prediction and protein design. The application of our suite of protein design algorithms to a variety of problems, including enzyme redesign and small-molecule inhibitor design, is described. Experimental validation, performed by our collaborators, of a set of our computational predictions confirms the feasibility and usefulness of our novel algorithms for computational protein design.</p> / Dissertation