Background Exploring the Talent Management literature to understand the importance of Talent Management to strategy and the role the view on talent plays in consideration to Talent Management. Purpose The purpose of this thesis is to increase the empirical research on Talent Management to enable a creation of a conceptual framework. Methodology A multiple case study approach was taken, as 11 companies from diverse industries, sizes, backgrounds etc. was studied in order to gain a broader picture on the research topic. Furthermore, qualitative data collection method was used and main source of empirical data was interviews conducted with HR professionals of each case company. Findings The empirical findings indicated there to be a relationship between the strategy and the view on talent. There was further an indication that this relationship has an effect on the focus of the Talent Management activities.

Pour réduire le temps d'acquisition ou bien améliorer la résolution spatio-temporelle dans certaines application en IRM, de puissantes techniques parallèles utilisant plusieurs antennes réceptrices sont apparues depuis les années 90. Dans ce contexte, les images d'IRM doivent être reconstruites à partir des données sous-échantillonnées acquises dans le « k-space ». Plusieurs approches de reconstruction ont donc été proposées dont la méthode SENSitivity Encoding (SENSE). Cependant, les images reconstruites sont souvent entâchées par des artéfacts dus au bruit affectant les données observées, ou bien à des erreurs d'estimation des profils de sensibilité des antennes. Dans ce travail, nous présentons de nouvelles méthodes de reconstruction basées sur l'algorithme SENSE, qui introduisent une régularisation dans le domaine transformé en ondelettes afin de promouvoir la parcimonie de la solution. Sous des conditions expérimentales dégradées, ces méthodes donnent une bonne qualité de reconstruction contrairement à la méthode SENSE et aux autres techniques de régularisation classique (e.g. Tikhonov). Les méthodes proposées reposent sur des algorithmes parallèles d'optimisation permettant de traiter des critères convexes, mais non nécessairement différentiables contenant des a priori parcimonieux. Contrairement à la plupart des méthodes de reconstruction qui opèrent coupe par coupe, l'une des méthodes proposées permet une reconstruction 4D (3D + temps) en exploitant les corrélations spatiales et temporelles. Le problème d'estimation d'hyperparamètres sous-jacent au processus de régularisation a aussi été traité dans un cadre bayésien en utilisant des techniques MCMC. Une validation sur des données réelles anatomiques et fonctionnelles montre que les méthodes proposées réduisent les artéfacts de reconstruction et améliorent la sensibilité/spécificité statistique en IRM fonctionnelle / To reduce scanning time or improve spatio-temporal resolution in some MRI applications, parallel MRI acquisition techniques with multiple coils have emerged since the early 90's as powerful methods. In these techniques, MRI images have to be reconstructed from acquired undersampled « k-space » data. To this end, several reconstruction techniques have been proposed such as the widely-used SENSitivity Encoding (SENSE) method. However, the reconstructed images generally present artifacts due to the noise corrupting the observed data and coil sensitivity profile estimation errors. In this work, we present novel SENSE-based reconstruction methods which proceed with regularization in the complex wavelet domain so as to promote the sparsity of the solution. These methods achieve accurate image reconstruction under degraded experimental conditions, in which neither the SENSE method nor standard regularized methods (e.g. Tikhonov) give convincing results. The proposed approaches relies on fast parallel optimization algorithms dealing with convex but non-differentiable criteria involving suitable sparsity promoting priors. Moreover, in contrast with most of the available reconstruction methods which proceed by a slice by slice reconstruction, one of the proposed methods allows 4D (3D + time) reconstruction exploiting spatial and temporal correlations. The hyperparameter estimation problem inherent to the regularization process has also been addressed from a Bayesian viewpoint by using MCMC techniques. Experiments on real anatomical and functional data show that the proposed methods allow us to reduce reconstruction artifacts and improve the statistical sensitivity/specificity in functional MRI

In smart energy systems, load curve refers to the time series reported by smart meters, which indicate the energy consumption of customers over a certain period of time. The widespread use of load curve (data) in demand side management and demand response programs makes it one of the most important resources. To capture the load behavior or energy consumption patterns, load curve modeling is widely applied to help the utilities and residents make better plans and decisions. In this dissertation, with the help of load curve modeling, we focus on data-driven solutions to three load monitoring problems in different scenarios of smart energy systems, including residential power systems and datacenter power systems and covering the research fields of i) data cleansing, ii) energy disaggregation, and iii) fine-grained power monitoring. First, to improve the data quality for load curve modeling on the supply side, we challenge the regression-based approaches as an efficient way to load curve data cleansing and propose a new approach to analyzing and organizing load curve data. Our approach adopts a new view, termed portrait, on the load curve data by analyzing the inherent periodic patterns and re-organizing the data for ease of analysis. Furthermore, we introduce strategies to build virtual portrait datasets and demonstrate how this technique can be used for outlier detection in load curve. To identify the corrupted load curve data, we propose an appliance-driven approach that particularly takes advantage of information available on the demand side. It identifies corrupted data from the smart meter readings by solving a carefully-designed optimization problem. To solve the problem efficiently, we further develop a sequential local optimization algorithm that tackles the original NP-hard problem by solving an approximate problem in polynomial time. Second, to separate the aggregated energy consumption of a residential house into that of individual appliances, we propose a practical and universal energy disaggregation solution, only referring to the readily available information of appliances. Based on the sparsity of appliances' switching events, we first build a sparse switching event recovering (SSER) model. Then, by making use of the active epochs of switching events, we develop an efficient parallel local optimization algorithm to solve our model and obtain individual appliances' energy consumption. To explore the benefit of introducing low-cost energy meters for energy disaggregation, we propose a semi-intrusive appliance load monitoring (SIALM) approach for large-scale appliances situation. Instead of using only one meter, multiple meters are distributed in the power network to collect the aggregated load data from sub-groups of appliances. The proposed SSER model and parallel optimization algorithm are used for energy disaggregation within each sub-group of appliances. We further provide the sufficient conditions for unambiguous state recovery of multiple appliances, under which a minimum number of meters is obtained via a greedy clique-covering algorithm. Third, to achieve fine-grained power monitoring at server level in legacy datacenters, we present a zero-cost, purely software-based solution. With our solution, no power monitoring hardware is needed any more, leading to much reduced operating cost and hardware complexity. In detail, we establish power mapping functions (PMFs) between the states of servers and their power consumption, and infer the power consumption of each server with the aggregated power of the entire datacenter. We implement and evaluate our solution over a real-world datacenter with 326 servers. The results show that our solution can provide high precision power estimation at both the rack level and the server level. In specific, with PMFs including only two nonlinear terms, our power estimation i) at the rack level has mean relative error of 2.18%, and ii) at the server level has mean relative errors of 9.61% and 7.53% corresponding to the idle and peak power, respectively. / Graduate / 0984 / 0791 / 0800 / tangguo1999@gmail.com

The object of this thesis is Voluntary tools for the protection of the environment. Voluntary environmental tools, also known as voluntary instruments or approaches, are a set of activities primarily used by business entities to reduce their negative impact on the environment. Their hallmarks are voluntary, ie. Private entity make voluntary decision if voluntary instrument applies or not, and their use is not mandatory in any legislative provisions stipulated, and prevention, ie. applied mainly as a preventive tools used to eliminate the negative effects of business activities on the environment. Voluntary tools are one of the tools of environmental policy. Despite their disparate developments, we can say that their use has expanded since the 90 of the 20 century. in connection with a new environmental strategy that seeks to prevent negative impacts on the environment by trying to cause these effects to actively seek out and eliminate (prevention strategies). In the first part I have dealt with historical and institutional development of voluntary instruments as a whole. Watching the development in the context of international, European and national developments. In the second part, I defined a voluntary instrument, and then classified them into two main groups according to the independence of...

TITLE: Developing activity and creativity in teaching fractions in grades 6 to 7 AUTHOR: Bc. Lenka Svobodová DEPARTMENT: Department of Mathematics and Mathematical Education SUPERVISOR: Mgr. Marie Tichá, CSc. ABSTRACT: The thesis consists of a theoretical and an empirical part. The theoretical part looks at the cognitive process of pupils and possible ways of their motivation during fractions teaching. Furthermore, it outlines causes of lack of understanding of fractions and re-education interventions. The empirical part is based on a qualitative research whose main objective was to determine how the pupils are able to solve fractions exercises independently and creatively and what mistakes they make. Various methods of data collection were used, such as interview with teachers on issues of fractions teaching in elementary schools, non- standardised test with fractions exercises and additional interview with the tested pupils. This part also describes the preparation of the research, the research itself and its results KEYWORDS: fractions, interpretations, representations, models, misunderstandings, mistakes, teaching approaches

(anglicky) Fractions are one of the critical areas of mathematics at the primary school. The aim of this diploma thesis is to describe didactic practices used when teaching fractions (focusing in particular on additive operations with fractions) and find out what strategies are used by pupils at selected tasks focusing on fractions, what difficulties are an obstacle in their successful solutions and what images of fractions the pupils have. The theoretical part contains considerations about the teaching and learning of mathematics, the overview of the historical development of the concept of fraction and operations with fractions and also selected research related to fractions. The practical part begins with the analysis of the textbooks where their semantic and structural models used for fractions are identified as well as ways of teaching operations with fractions. My own research consists of semi-structured interviews with five experienced teachers (one of whom is not qualified) on the topic of teaching fractions, the difficulties of pupils with fractions and of clinical interviews with three pupils from different primary schools. Interviews with the pupils were focused on the solution of the diagnostic tasks in the field of fractions. Transcripts of both interviews were analyzed by techniques...

The aim of the thesis is to present the potential of constructivist approaches to teach sequences at high school, with special attention to the problems leading to generalisation. You will read about critical points in the process of generalisation which occurred in TIMSS and PISA international studies and which were examined in the teaching experiment. The question of motivation to learn mathematics is an essential part of this thesis as well as it is an essential part of constructivist approaches to teaching. Two chapters at the beginning analyze school curricular documents, science articles, school textbooks and TIMSS and PISA international studies which formed the theoretical frame of the teaching experiment. The teaching experiment is based on Hejný's theory of generic models and on constructivist approaches to teaching which are introduced in the third chapter. Chapter four which describes the teaching experiment and pre-experiment is the main part of the thesis. It brings inspiration how to deal with the critical points in the process of generalisation and how to motivate pupils to learn mathematics. Key words sequence, generalisation, mathematisation, motivation, approaches to teaching, constructivism

Title: Physical rehabilitation in Multiple Sclerosis- Questionnaire Objectives: The objective of the project is to map approach to physiotherapy of patients with multiple sclerosis (MS) using a questionnaire in three selected countries in Europe. We assume that the results objectively point out the diversity of approaches to physiotherapy among patients with MS. The data collection will be further used to prepare an international comparative study comparing the effectiveness of various physiotherapeutic approaches. Methods: The questionnaire, used in our study has been created by a team of experts from organizations RIMS, SIG on Mobility (Rehabilitation in Multiple Sclerosis, Special Interest Group) during the last two years. PhDr.Kamila Řasová, PhD., from whose initiative this study came, is a member of this organization. The questionnaire was sent to the coordinator in each country. Then the coordinator completed the questionnaire together with the experts in rehabilitation. Completed copies were sent to the Czech Republic, where they were statistically analysed. Results: We found out that in each country there are differences between knowledge and usage of examination and therapeutic techniques. Furthermore, the perception of the therapeutic content of the three basic models for physiotherapy...

Title: Physical rehabilitation in Multiple Sclerosis - Questionnaire Objectives: The objective of the project is to map approach to physiotherapy of patients with multiple sclerosis (MS) using a questionnaire in three selected countries in Europe. We assume that the results objectively point out the diversity of approaches to physiotherapy among patients with MS. The data collection will be further used to prepare an international comparative study comparing the effectiveness of various physiotherapeutic approaches. Methods: The questionnaire, used in our study has been created by a team of experts from organizations RIMS, SIG on Mobility (Rehabilitation in Multiple Sclerosis, Special Interest Group) during the last two years. PhDr.Kamila Řasová, PhD., from whose initiative this study came, is a member of this organization. The questionnaire was sent to the coordinator in each country. Then the coordinator completed the questionnaire together with the experts in rehabilitation. Completed copies were sent to the Czech Republic, where they were statistically analysed. Results: We found out that in each country there are differences between knowledge and usage of examination and therapeutic techniques. Furthermore, the perception of the therapeutic content of the three basic models for physiotherapy...

This diploma thesis, "Alzheimer's disabilities ", deals with questions around people with Alzheimer's disabilities, which is the most common type of dementia. Alzheimer's disabilities is also very widespread in the population; and it is the 4th or 5th most common cause of death. The thesis is divided into two parts, the first part is theoretical and the second is empirical. In the theoretical part the thesis deals with the general characteristics of this disorder such as: causes, prevention, clinical manifestations, consequences, diagnostics and pharmacological approaches. The main focus of the theoretical part is in the second chapter, which deals with non-pharmacological approaches to people with Alzheimer's disabilities. In the empirical part, case studies on sufferers of Alzheimer's disabilities will be included. The empirical part focuses on substantive changes which occur in the lives of people with Alzheimer's disabilities, and whether these changes can be confirmed as being consequential of the affliction. Key words Dementia, Alzheimer's disabilities, clinical manifestation, non-pharmacological approaches.