Induction Motor Drive Energy Efficiency - Simulation and Analysis

A coupled system simulator, based on analytical circuit equations and a finite element method (FEM) model of the motor has been developed and it is used to analyse a frequency-converterfed industrial squirrel-cage induction motor. Two control systems that emulate the behaviour of commercial direct-torque-controlled (DTC) and vector-controlled industrial frequency converters have been studied, implemented in the simulation software and verified by extensive laboratory tests. Numerous factors that affect the operation of a variable speed drive (VSD) and its energy efficiency have been investigated, and their significance in the simulation of the VSD results has been studied. The dependency of the frequency converter, induction motor and system losses on the switching frequency is investigated by simulations and measurements at different speeds for both the vector control and the DTC. Intensive laboratory measurements have been carried out to verify the simulation results.

BUDDHISM AND MODERNITY: IN THE MARGIN OF DONALD S. LOPEZ JR.'S "BUDDHISM AND SCIENCE

ABSTRACT The present article aims at setting the issue of the relationship between Buddhism and science in a historical and philosophical frame wider than that one taken into account by the international scholarship so far. The historical point of view allows us to conclude that the narrative that connects Buddhism with science is not based on features intrinsic to Buddhist thought. In fact, such narrative prospered thanks to the development of a dialectic, typical of the 18th and 19th centuries, between science and religion. The philosophical point of view allows us to conclude that such narrative is backed by a metaphysical-like thought that denies the specificity of both science and Buddhism.

Kernel-Based Ranking. Methods for Learning and Performance Estimation

Machine learning provides tools for automated construction of predictive models in data intensive areas of engineering and science. The family of regularized kernel methods have in the recent years become one of the mainstream approaches to machine learning, due to a number of advantages the methods share. The approach provides theoretically well-founded solutions to the problems of under- and overfitting, allows learning from structured data, and has been empirically demonstrated to yield high predictive performance on a wide range of application domains. Historically, the problems of classification and regression have gained the majority of attention in the field. In this thesis we focus on another type of learning problem, that of learning to rank. In learning to rank, the aim is from a set of past observations to learn a ranking function that can order new objects according to how well they match some underlying criterion of goodness. As an important special case of the setting, we can recover the bipartite ranking problem, corresponding to maximizing the area under the ROC curve (AUC) in binary classification. Ranking applications appear in a large variety of settings, examples encountered in this thesis include document retrieval in web search, recommender systems, information extraction and automated parsing of natural language. We consider the pairwise approach to learning to rank, where ranking models are learned by minimizing the expected probability of ranking any two randomly drawn test examples incorrectly. The development of computationally efficient kernel methods, based on this approach, has in the past proven to be challenging. Moreover, it is not clear what techniques for estimating the predictive performance of learned models are the most reliable in the ranking setting, and how the techniques can be implemented efficiently. The contributions of this thesis are as follows. First, we develop RankRLS, a computationally efficient kernel method for learning to rank, that is based on minimizing a regularized pairwise least-squares loss. In addition to training methods, we introduce a variety of algorithms for tasks such as model selection, multi-output learning, and cross-validation, based on computational shortcuts from matrix algebra. Second, we improve the fastest known training method for the linear version of the RankSVM algorithm, which is one of the most well established methods for learning to rank. Third, we study the combination of the empirical kernel map and reduced set approximation, which allows the large-scale training of kernel machines using linear solvers, and propose computationally efficient solutions to cross-validation when using the approach. Next, we explore the problem of reliable cross-validation when using AUC as a performance criterion, through an extensive simulation study. We demonstrate that the proposed leave-pair-out cross-validation approach leads to more reliable performance estimation than commonly used alternative approaches. Finally, we present a case study on applying machine learning to information extraction from biomedical literature, which combines several of the approaches considered in the thesis. The thesis is divided into two parts. Part I provides the background for the research work and summarizes the most central results, Part II consists of the five original research articles that are the main contribution of this thesis.

Customer-related skills and capabilities in knowledge-intensive business services

The roles of knowledge and customer involvement form distinct features in providing knowledge-intensive business services. The objective of this study was to investigate the customer-related skills and capabilities of knowledge-intensive business services. The research was carried out as case study, involving two polar cases. The other case represented customized services, and the other standardized services. The research method was qualitative, and included focus group workshops, individual interviews and a survey. The capabilities of business services have been mainly studied on organizational level. This study provides valuable insight into the role of individual skills as a part of capabilities of knowledge-intensive business services. According to this study, the most important capabilities are related to acquiring and integrating of knowledge, resource management, managing the customer’s role as a co-producer of the service, and active and effective communication. The study indicates that the level of tacit knowledge is high in the needed individual skills. Based on the study, the needed capabilities and skills are affected by the level of customization of the service, the demand for customer knowledge, the demand for consultation and the stage of the service providing.

Observations on the Pharmacokinetics and Pharmacodynamics of Dexmedetomidine. Clinical Studies on Healthy Volunteers and Intensive Care Patients

Patients treated in intensive care units require sedation and analgesia. However, sedative drugs also have potential adverse effects, and there is no single ideal sedativeanalgesic drug for these patients. Dexmedetomidine is an apha2-adrenoceptor agonist licenced for sedation of intensive care patients and patients undergoing surgery and other invasive procedures. Several routes of parenteral administration (intravenous, intramuscular, subcutaneous and intranasal) have been utilized. In the present series of studies, the pharmacokinetics and pharmacodynamics of intranasally administered dexmedetomidine as well as the gastrointestinal effects of intravenous dexmedetomidine were determined in healthy volunteers. Pharmacokinetics of dexmedetomidine during long lasting, high-dose infusions were characterized in intensive care patients. The bioavailability of intranasal dexmedetomidine was relatively good (65%), but interindividual variation was large. Dexmedetomidine significantly inhibited gastric emptying and gastrointestinal transit. In intensive care patients, the elimination half-life of dexmedetomidine was somewhat longer than reported for infusions of shorter duration and in less ill patients or healthy volunteers. Dexmedetomidine appeared to have linear pharmacokinetics up to the studied dose rate of 2.5 μg/kg/h. Dexmedetomidine clearance was decreasing with age and its volume of distribution was increased in hypoalbuminaemic patients, resulting in a longer elimination half-life and context-sensitive half-time. Intranasally administered dexmedetomidine was efficacious and well tolerated, making it appropriate for clinical situations requiring light sedation. The clinical significance of the gastrointestinal inhibitory effects of dexmedetomidine should be further evaluated in intensive care patients. The possibility of potentially altered potency and effect duration should be taken into account when administering dexmedetomidine to elderly or hypoalbuminaemic patients.

SOCIAL MEDIA IN INTERNATIONAL BRAND COMMUNICATION OF SMES - A multiple case study of small Finnish design-intensive companies

Social media is a rather new phenomenon which has revolutionised the world of online communication. However, academic research on how companies can benefit from social media is lacking. The research objective of this thesis was to examine the use of social media in international brand communication of small Finnish design-intensive companies. Therefore, this research contributes also to the research gap in SME branding. The focus was on communication targeted at consumers. The research was carried out as a mixed methods research employing the questionnaire and multiple case study methods. The questionnaire was used to gather preliminary information on Finnish design-intensive companies and to provide an eligible list of companies for deeper examination. Then, four case companies were studied in more depth. The empirical evidence of the case companies was mainly gathered through theme interviews. The results of the questionnaire shed light on the internationalisation of small Finnish designintensive companies. On average, the companies had internationalised rather quickly after they had been founded. However, the share of exports was rather low in most of the companies. The results revealed also that social media was already used widely in the exporting companies and the use can be expected to grow in future. The findings of the multiple case study suggest that branding activities in small Finnish designintensive companies are constrained by limited resources and skills. In addition, the branding activities are strongly guided by the vision and values of the entrepreneur(s) rather than extensive marketing research. The brand structure was simple in all case companies and they aimed at having a standardised brand image across markets. However, all case companies had faced a need for some adaptation of their international brand communication. Internationally important brand communication channels were international fairs, the internet, word-of-mouth and social media. Social media offered a cost-effective brand communication channel for the case companies. It was used for various purposes, such as creating brand awareness and affecting how the brand is perceived. The entrepreneurs found the use of social media to be rather easy and the case companies had not faced any major challenges. However, the companies had recognised that communication in social media requires consistency and planning. The planning was rather informal and stayed on a general level. Overall, the utilisation of social media in the case companies was limited by a lack of resources. It seemed to affect especially the follow-up of brand communication in social media which stayed rather superficial.

Developing the measurement and management of knowledge: applying the constructive research approach in a knowledge intensive service environment

Intellectual assets have attained continuous attention in the academic field, as they are vital sources of competitive advantage and organizational performance in the contemporary knowledge intensive business environment. Intellectual capital measurement is quite thoroughly addressed in the accounting literature. However, the purpose of the measurement is to support the management of intellectual assets, but the reciprocal relationship between measurement and management has not been comprehensively considered in the literature. The theoretical motivation for this study rose from this paradox, as in order to maximise the effectiveness of knowledge management the two initiatives need to be closely integrated. The research approach of this interventionist case study is constructive. The objective is to develop the case organization’s knowledge management and intellectual capital measurement in a way that they would be closely integrated and the measurement would support the management of intellectual assets. The case analysis provides valuable practical considerations about the integration and related issues as the case company is a knowledge intensive organization in which the know-how of the employees is the central competitive asset and therefore, the management and measurement of knowledge are essential for its future success. The results suggest that the case organization is confronting challenges in managing knowledge. In order to appropriately manage knowledge processes and control the related risks, support from intellectual capital measurement is required. However, challenges in measuring intellectual capital, especially knowledge, could be recognized in the organization. By reflecting the knowledge management situation and the constructed strategy map, a new intellectual measurement system was developed for the case organization. The construction of the system as well as its indicators can be perceived to contribute to the literature, emphasizing of the importance of properly considering the organization’s knowledge situation in developing an intellectual capital measurement system.

Immediate Decision-Making and Information Needs in Intensive Care Coordination

The aim of this study was to develop a theoretical model for information integration to support the deci¬sion making of intensive care charge nurses, and physicians in charge – that is, ICU shift leaders. The study focused on the ad hoc decision-making and immediate information needs of shift leaders during the management of an intensive care unit’s (ICU) daily activities. The term ‘ad hoc decision-making’ was defined as critical judgements that are needed for a specific purpose at a precise moment with the goal of ensuring instant and adequate patient care and a fluent flow of ICU activities. Data collection and research analysis methods were tested in the identification of ICU shift leaders’ ad hoc decision-making. Decision-making of ICU charge nurses (n = 12) and physicians in charge (n = 8) was observed using a think-aloud technique in two university-affiliated Finnish ICUs for adults. The ad hoc decisions of ICU shift leaders were identified using an application of protocol analysis. In the next phase, a structured online question¬naire was developed to evaluate the immediate information needs of ICU shift leaders. A national survey was conducted in all Finnish, university-affiliated hospital ICUs for adults (n = 17). The questionnaire was sent to all charge nurses (n = 515) and physicians in charge (n = 223). Altogether, 257 charge nurses (50%) and 96 physicians in charge (43%) responded to the survey. The survey was also tested internationally in 16 Greek ICUs. From Greece, 50 charge nurses out of 240 (21%) responded to the survey. A think-aloud technique and protocol analysis were found to be applicable for the identification of the ad hoc decision-making of ICU shift leaders. During one day shift leaders made over 200 ad hoc decisions. Ad hoc decisions were made horizontally, related to the whole intensive care process, and vertically, concerning single intensive care incidents. Most of the ICU shift leaders’ ad hoc decisions were related to human resources and know-how, patient information and vital signs, and special treatments. Commonly, this ad hoc decision-making involved several multiprofessional decisions that constituted a bundle of immediate decisions and various information needs. Some of these immediate information needs were shared between the charge nurses and the physicians in charge. The majority of which concerned patient admission, the organisation and management of work, and staff allocation. In general, the information needs of charge nurses were more varied than those of physicians. It was found that many ad hoc deci-sions made by the physicians in charge produced several information needs for ICU charge nurses. This meant that before the task at hand was completed, various kinds of information was sought by the charge nurses to support the decision-making process. Most of the immediate information needs of charge nurses were related to the organisation and management of work and human resources, whereas the information needs of the physicians in charge mainly concerned direct patient care. Thus, information needs differ between professionals even if the goal of decision-making is the same. The results of the international survey confirmed these study results for charge nurses. Both in Finland and in Greece the information needs of charge nurses focused on the organisation and management of work and human resources. Many of the most crucial information needs of Finnish and Greek ICU charge nurses were common. In conclusion, it was found that ICU shift leaders make hundreds of ad hoc decisions during the course of a day related to the allocation of resources and organisation of patient care. The ad hoc decision-making of ICU shift leaders is a complex multi-professional process, which requires a lot of immediate information. Real-time support for information related to patient admission, the organisation and man¬agement of work, and allocation of staff resources is especially needed. The preliminary information integration model can be applied when real-time enterprise resource planning systems are developed for intensive care daily management

Capital Structure and Firm Growth: R&D Intensive Companies

The purpose of this study is to examine and explain firm`s growth impact on capital structure decision-making in research and development intensive companies. Many studies claim that R&D has a pivotal impact on capital structure decisions, but corporate finance theories have often failed to explain these observed patterns. As sales growth is an important concept and objective for R&D firms, it is logical to assume that it plays a vital role in capital structure decisions. This study applies nomothetic research approach. The theoretical part employs a formal conceptual analysis in order to develop the propositions that are tested with empirical data. The empirical part consists of the analysis of three companies; the data is obtained from the annual reports over the period 2003 – 2008. The companies operate in IT- or ICT-industry and are publicly listed. The method for analyzing the case data is based on the financial indicators, which are obtained from the financials of the case companies. These economic indicators describe the capital structure and the financial decision-making of the firms. The method relates to the quantitative studies. Yet, this study extends the analysis beyond the indicators. Specifically, this study addresses the question of what is behind the economic indicators, therefore combining aspects of quantitative and qualitative analysis. The firms examined in this study seem to prefer internal finance during growth. However, external finance seems to be a catalyst for sales growth. Firms strongly prefer equity financing. In growth, the use of equity per capital either increases or stays in a constant level. Over the period 2003 – 2008, the firms were often associated to equity related transactions and short-term debt. Short-term debt was used as a substitute of long-term debt and equity. The case firms also adjusted their capital structure – these adjustments were carried out with short-term debt or equity. The case data also provides implications for the growth signal theory that was developed in this study. Based on the econometric indicators, arguments can be made that equity investors are `attracted` to growing R&D firms. This is because growth helps investors perceive the true type of firm. The findings of this study are best explained by the trade-off theory and the pecking order theory. These corporate finance theories are considered as mainstream. Little support can be found to the implications of the signaling theory and market timing theory.

Serological investigation and PCR in detection of pathogenic leptospires in snakes

Detection of Leptospira by PCR had not yet been described in snakes. This study investigated, by microscopic agglutination test (MAT) and PCR, the presence of antibodies to Leptospira spp. and Leptospira spp., respectively, in venomous and non-venomous wildlife and captivity snakes. All snakes were divided into three groups to be compared: Group 1 (wildlife snakes - WS); Group 2 (snakes in intensive captivity - IC), and Group 3 (collective semi-extensive captivity -CC). Of the 147 snakes studied, 52 (35.4%) were positive for leptospirosis by MAT, 8 (15.4%) belonging to Group 1 (WS), 34 (65.4%) to Group 2 (IC) and 10 (19.2%) to Group 3 (CC). Jararaca (Bothrops jararaca) presented the highest average titer (66.7%, N=22/33) among the three group studied, and Hardjo prajtino was the most prevalent serovar (88.5%, N=46/52), with titers varying from 100 to 3200. Leptospira interrogans was revealed by PCR in kidney and liver of caiçaca (Bothrops moojeni) and jararaca-pintada (Bothrops pauloensis), showing 100% and 93% identity respectively. Future studies should be carried out for better understanding of the role of snakes as a reservoir of Leptospira in nature.

Balancing creativity and risk intelligence in professional knowledge-intensive business services

The main strengths of professional knowledge-intensive business services (P-KIBS) are knowledge and creativity which needs to be fostered, maintained and supported. The process of managing P-KIBS companies deals with financial, operational and strategic risks. That is why it is reasonable to apply risk management techniques and frameworks in this context. A significant challenge hides in choosing reasonable ways of implementing risk management, which will not limit creative ability in organization, and furthermore will contribute to the process. This choice is related to a risk intelligent approach which becomes a justified way of finding the required balance. On a theoretical level the field of managing both creativity and risk intelligence as a balanced process remains understudied in particular within KIBS industry. For instance, there appears to be a wide range of separate models for innovation and risk management, but very little discussion in terms of trying to find the right balance between them. This study aims to shed light on the importance of well-managed combination of these concepts. The research purpose of the present study is to find out how the balance between creativity and risk intelligence can be managed in P-KIBS. The methodological approach utilized in the study is strictly conceptual without empirical aspects. The research purpose can be achieved through answering the following research supporting questions: 1. What are the characteristics and role of creativity as a component of innovation process in a P-KIBS company? 2. What are the characteristics and role of risk intelligence as an approach towards risk management process implementation in a P-KIBS company? 3. How can risk intelligence and creativity be balanced in P-KIBS? The main theoretical contribution of the study conceals in a proposed creativity and risk intelligence stage process framework. It is designed as an algorithm that can be applied on organizational canvas. It consists of several distinct stages specified by actors involved, their roles and implications. Additional stage-wise description provides detailed tasks for each of the enterprise levels, while combining strategies into one. The insights driven from the framework can be utilized by a vast range of specialists from strategists to risk managers, and from innovation managers to entrepreneurs. Any business that is designing and delivering knowledge service can potentially gain valuable thoughts and expand conceptual understanding from the present report. Risk intelligence in the current study is a unique way of emphasizing the role of creativity in professional knowledge-intensive industry and a worthy technique for making profound decisions towards risks.

Incidence, risk factors and prognostic factors of acute renal failure in patients admitted to an intensive care unit

The objective of the present study was to assess the incidence, risk factors and outcome of patients who develop acute renal failure (ARF) in intensive care units. In this prospective observational study, 221 patients with a 48-h minimum stay, 18-year-old minimum age and absence of overt acute or chronic renal failure were included. Exclusion criteria were organ donors and renal transplantation patients. ARF was defined as a creatinine level above 1.5 mg/dL. Statistics were performed using Pearsons' chi2 test, Student t-test, and Wilcoxon test. Multivariate analysis was run using all variables with P < 0.1 in the univariate analysis. ARF developed in 19.0% of the patients, with 76.19% resulting in death. Main risk factors (univariate analysis) were: higher intra-operative hydration and bleeding, higher death risk by APACHE II score, logist organ dysfunction system on the first day, mechanical ventilation, shock due to systemic inflammatory response syndrome (SIRS)/sepsis, noradrenaline use, and plasma creatinine and urea levels on admission. Heart rate on admission (OR = 1.023 (1.002-1.044)), male gender (OR = 4.275 (1.340-13642)), shock due to SIRS/sepsis (OR = 8.590 (2.710-27.229)), higher intra-operative hydration (OR = 1.002 (1.000-1004)), and plasma urea on admission (OR = 1.012 (0.980-1044)) remained significant (multivariate analysis). The mortality risk factors (univariate analysis) were shock due to SIRS/sepsis, mechanical ventilation, blood stream infection, potassium and bicarbonate levels. Only potassium levels remained significant (P = 0.037). In conclusion, ARF has a high incidence, morbidity and mortality when it occurs in intensive care unit. There is a very close association with hemodynamic status and multiple organ dysfunction.

Vancomycin-resistant enterococcus outbreak in a pediatric intensive care unit: report of successful interventions for control and prevention

The objective of this study is to retrospectively report the results of interventions for controlling a vancomycin-resistant enterococcus (VRE) outbreak in a tertiary-care pediatric intensive care unit (PICU) of a University Hospital. After identification of the outbreak, interventions were made at the following levels: patient care, microbiological surveillance, and medical and nursing staff training. Data were collected from computer-based databases and from the electronic prescription system. Vancomycin use progressively increased after March 2008, peaking in August 2009. Five cases of VRE infection were identified, with 3 deaths. After the interventions, we noted a significant reduction in vancomycin prescription and use (75% reduction), and the last case of VRE infection was identified 4 months later. The survivors remained colonized until hospital discharge. After interventions there was a transient increase in PICU length-of-stay and mortality. Since then, the use of vancomycin has remained relatively constant and strict, no other cases of VRE infection or colonization have been identified and length-of-stay and mortality returned to baseline. In conclusion, we showed that a bundle intervention aiming at a strict control of vancomycin use and full compliance with the Hospital Infection Control Practices Advisory Committee guidelines, along with contact precautions and hand-hygiene promotion, can be effective in reducing vancomycin use and the emergence and spread of vancomycin-resistant bacteria in a tertiary-care PICU.