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Today we live in a highly developed science, high technology and fast transmit-ted information time, the competition is more and more intense in all industries of course the medical. People in medical industry not only have to response the impact from the change of the national policy but accept the concept to service by patient¡¦s demand and needs. In the past, the staff of hospital needn¡¦t to care about the source of patient, the fair of payment policy and the sustainable management in their hospital. But these competitive advantages had disappeared after the National Health Insurance policy was executed from 1995 AD., the pressure of management are more and more heavy especially the practitioners. In order to manage sustainably, the staff of hospital not only have to control the cost of management but also create the advantages and good chances by understood the demand and needs of the patient. The research of the considering factors in medical treatment is one of the analysis in the patient¡¦s demand and needs. Generally, patient has to know what the illness he or she gets, then patient will choice the suitable hospital for their medical treatment. In this research we separate the illness into two parts¡GOne is the specialty illness (ophthalmology, dental, orthopedic, neurology, psychiatry, obstetrics & gynecology, radiology neoplasm¡K, these illness can be confirmed the part of body.), the other is common illness (catch a cold, a cough, stomachache, headache), we analysis the dif-ferences of the considering factors in medical treatment between specialty and com-mon illnesses. In this research, we analysis the medical industrial by Marketing domain, the marketing mix 7Ps is the skill we adapt because the medical industry is part of service industry. There are 34 sheets of paper related to medical research we study and 502 pieces of considering factors in medical treatment we sort by 7Ps, finally 33 pieces factors were extracted as the items of the questionnaire. There are 528 pieces of valid respondent questionnaire we get and we use them as the data in this research. We think we can provide the result of the research and the marketing suggestions for medical industry and the initial marketing 7Ps research of medical industry.

Craig Hella Johnson (b. 1963) has emerged as a leader in choral music over the last 20 years. As the conductor of the Austin, TX based chorus Conspirare Johnson implemented the European model of bringing singers together from all over the country to assemble for concerts and recordings over a short period of time. He is known for his collage programs which bring together many styles of music bound by a central theme. Through these programs he has written and arranged many pieces which are now published and being performed by choirs across the globe. Johnson's most significant work to date is a 90 minute passion oratorio which details the story of Matthew Shepard, a college student murdered in a hate crime in 1998. Considering Matthew Shepard (2016) is a wonderful example of Johnson's composition and programming style. Though not a traditional passion story, it is part of the evolution of the genre in the 20th and 21st centuries. The passion oratorio has seen a resurgence in the past 50 years and has undergone a transformation in that time. These new works pay homage to the history of the genre but have begun to stretch it in terms of form and content. This study will highlight the evolution of the passion oratorio focusing on Johnson's Considering Matthew Shepard and offer some insight into the composers style and how this work represents a modern treatment of the passion oratorio.

The thesis presents the analysis of the impact of the recent vertical move-ments of the Earth‘s crust on the measurements of levelling as well as levelling networks submitting the results of theoretical research and practical observa-tions. The aim of the work is to investigate the impact on the results of measure-ments in terms of levelling and levelling networks, to work out the methodology for their evaluation to be applied in compiling and maintaining of these net-works. The objectivity of the experiments deals with the levelling networks of Lithuania and data received. The following tasks were solved: 1) there was perfected the methodological approach for the evaluation of the forecasting models in terms of geoindexes of the territory with intention to improve the forecasting.; 2) there was theoretically grounded as well as worked out the methodology for the evaluation of the im-pact of the recent vertical movements of the Earth’s crust on the measurements of levelling and on levelling networks; 3) there was derived the methodology of reduction of differences of measured altitudes, taking into account the selected moment of time; 4) there were made investigations on the possibilities of up-grading the models of forecasting by applying diverse groups of geoindexes; the recommendations were prepared how to use the models of forecasting; 5) while applying the proposed methods and recommendations there were carried out the experiments and evaluation of the impact of the... [to full text] / Disertacijoje nagrinėjama dabartinių žemės plutos judesių įtaka niveliacijos matavimams ir niveliacijos tinklams. Pateikiami teorinių ir praktinių eksperi-mentų tyrimo rezultatai. Darbo tikslas – ištirti dabartinių vertikaliųjų žemės plutos judesių įtaką ni-veliavimo matavimo rezultatams ir niveliacijos tinklams, parengti jų vertinimo metodiką sudarant ir eksploatuojant šiuos tinklus. Tyrimų objektas – Lietuvos teritorijos niveliacijos tinklai ir jų matavimų duomenys. Siekiant įgyvendinti tyrimų tikslą, išspręsti šie uždaviniai: 1) siekiant page-rinti dabartinių vertikaliųjų žemės plutos judesių prognozės modelius, patobulin-ta jų sąsajų su teritorijos georodikliais vertinimo metodika; 2) teoriškai pagrįsta ir parengta dabartinių vertikaliųjų žemės plutos judesių įtakos niveliacijos mata-vimams ir niveliacijos tinklams vertinimo metodika; 3) parengta išmatuotų aukščių skirtumų redukavimo, atsižvelgiant į pasirinktą laiko momentą, metodi-ka; 4) atlikti dabartinių vertikaliųjų žemės plutos judesių prognozės modelių to-bulinimo galimybių, taikant skirtingas georodiklių grupes, tyrimai; parengtos rekomendacijos prognozės modeliams taikyti; 5) taikant parengtas metodikas ir rekomendacijas, atlikti dabartinių vertikaliųjų žemės plutos judesių įtakos, suda-rant ir eksploatuojant Lietuvos niveliacijos tinklus, tyrimai ir vertinimas; 6) api-bendrinus teorinius ir eksperimentinius tyrimus, parengtos rekomendacijos ver-tikaliųjų žemės plutos judesių įtakai vertinti, sudarant ir... [toliau žr. visą tekstą]

Research of the relationship between human capital and economic growth has been significantly developing since 1960s'. This thesis aims to contribute to the topic of human capital, map its importance in the theoretical and empirical economics and examine the influence on macroeconomic growth. In most of the countries human capital and education are budgeted mainly from the public resources thus is the human capital theory important for the public sector as well. First part of the thesis presents the main growth models and its evolution concerning also the human capital. In the second part there is a summary of the most important empirical literature. In the third part I present and comment the results of the empirical analyses. The benchmark data panel covers 92 countries within years 1960-2005. The method of analyses is panel data regression. The primary finding of the thesis is confirmation of the positive influence that human capital has on the economic growth. Third part also tests the most adequate proxy of the human capital. The quality of the human capital as well as the link between quantity and quality are also reflected in the regression analyses.

Residential building, sales comparison approach, market valuation, specific location, arm’s length price, market value

District heating, heat sources, cogeneration, boiler, biomass

Multi functional health monitoring wearable devices are quite prominent these days. Usually these devices are battery-operated and consequently are limited by their battery life (from few hours to a few weeks depending on the application). Of late, it was realized that these devices, which are currently being operated at fixed voltage and frequency, are capable of operating at multiple voltages and frequencies. By switching these voltages and frequencies to lower values based upon power requirements, these devices can achieve tremendous benefits in the form of energy savings. Dynamic Voltage and Frequency Scaling (DVFS) techniques have proven to be handy in this situation for an efficient trade-off between energy and timely behavior. Within imec, wearable devices make use of the indigenously developed MUSEIC v2 (Multi Sensor Integrated circuit version 2.0). This system is optimized for efficient and accurate collection, processing, and transfer of data from multiple (health) sensors. MUSEIC v2 has limited means in controlling the voltage and frequency dynamically. In this thesis we explore how traditional DVFS techniques can be applied to the MUSEIC v2. Experiments were conducted to find out the optimum power modes to efficiently operate and also to scale up-down the supply voltage and frequency. Considering the overhead caused when switching voltage and frequency, transition analysis was also done. Real-time and non real-time benchmarks were implemented based on these techniques and their performance results were obtained and analyzed. In this process, several state of the art scheduling algorithms and scaling techniques were reviewed in identifying a suitable technique. Using our proposed scaling technique implementation, we have achieved 86.95% power reduction in average, in contrast to the conventional way of the MUSEIC v2 chip’s processor operating at a fixed voltage and frequency. Techniques that include light sleep and deep sleep mode were also studied and implemented, which tested the system’s capability in accommodating Dynamic Power Management (DPM) techniques that can achieve greater benefits. A novel approach for implementing the deep sleep mechanism was also proposed and found that it can obtain up to 71.54% power savings, when compared to a traditional way of executing deep sleep mode. / Nuförtiden så har multifunktionella bärbara hälsoenheter fått en betydande roll. Dessa enheter drivs vanligtvis av batterier och är därför begränsade av batteritiden (från ett par timmar till ett par veckor beroende på tillämpningen). På senaste tiden har det framkommit att dessa enheter som används vid en fast spänning och frekvens kan användas vid flera spänningar och frekvenser. Genom att byta till lägre spänning och frekvens på grund av effektbehov så kan enheterna få enorma fördelar när det kommer till energibesparing. Dynamisk skalning av spänning och frekvens-tekniker (såkallad Dynamic Voltage and Frequency Scaling, DVFS) har visat sig vara användbara i detta sammanhang för en effektiv avvägning mellan energi och beteende. Hos Imec så använder sig bärbara enheter av den internt utvecklade MUSEIC v2 (Multi Sensor Integrated circuit version 2.0). Systemet är optimerat för effektiv och korrekt insamling, bearbetning och överföring av data från flera (hälso) sensorer. MUSEIC v2 har begränsad möjlighet att styra spänningen och frekvensen dynamiskt. I detta examensarbete undersöker vi hur traditionella DVFS-tekniker kan appliceras på MUSEIC v2. Experiment utfördes för att ta reda på de optimala effektlägena och för att effektivt kunna styra och även skala upp matningsspänningen och frekvensen. Eftersom att ”overhead” skapades vid växling av spänning och frekvens gjordes också en övergångsanalys. Realtidsoch icke-realtidskalkyler genomfördes baserat på dessa tekniker och resultaten sammanställdes och analyserades. I denna process granskades flera toppmoderna schemaläggningsalgoritmer och skalningstekniker för att hitta en lämplig teknik. Genom att använda vår föreslagna skalningsteknikimplementering har vi uppnått 86,95% effektreduktion i jämförelse med det konventionella sättet att MUSEIC v2-chipets processor arbetar med en fast spänning och frekvens. Tekniker som inkluderar lätt sömn och djupt sömnläge studerades och implementerades, vilket testade systemets förmåga att tillgodose DPM-tekniker (Dynamic Power Management) som kan uppnå ännu större fördelar. En ny metod för att genomföra den djupa sömnmekanismen föreslogs också och enligt erhållna resultat så kan den ge upp till 71,54% lägre energiförbrukning jämfört med det traditionella sättet att implementera djupt sömnläge.