948 resultados para semi-empirical methods


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The atomic shell structure can be observed by inspecting the experimental periodic properties of the Periodic Table. The (quantum) shell structure emerges from these properties and in this way quantum mechanics can be explicitly shown considering the (semi-)quantitative periodic properties. These periodic properties can be obtained with a simple effective Bohr model. An effective Bohr model with an effective quantum defect (u) was considered as a probe in order to show the quantum structure embedded in the Periodic Table. u(Z) shows a quasi-smoothed dependence of Z, i.e., u(Z) ≈ Z2/5 - 1.

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In vitro release of bioidentical hormones in four different liposomal transdermal emulsions (containing testosterone, progesterone, estradiol, or estradiol and estriol) was assessed. For this purpose, novel high-performance liquid chromatography methods were developed and validated in an eco-friendly manner and used to determine the in vitro release of such products. The methods were suitable for our intended goal, and the emulsions employed were found to be effective as transporting candidates for the efficient release of hormones in the transdermal delivery of human sexual steroids.

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A semi-selective agar medium was developed for detection of Xanthomonas axonopodis pv. malvacearum (Xam) in cotton (Gossypium hirsutum) seed. The basic medium was peptone-sucrose-agar (PSA). Criteria for the semi-selective medium were the typical colony characters of Xam and its pathogenicity on cotton. Several systemic fungicides and antibiotics in different concentrations were tested alone or in combination with others. The final composition of the semi-selective agar medium was established after several attempts in order to inhibit most of the fungal and bacterial saprophytes and favour the development of Xam. It contained PSA + cyclohexamide, cephalexin, pencycuron, triadimenol and tolylfluanid. The bacteria were recovered from naturally infected seeds by the direct plating of 2,000 surface disinfected seeds on the semi-selective medium. The recovery of the pathogen from naturally infected leaf tissues and in dilution plating, on semi-selective medium and on nutrient agar, were comparable. Among the three detection methods tested, the semi-selective medium was found to be the most reliable and quantifiable. Degree of severity of angular leaf spot in the field was not always correlated with the level of infection in the seed. This is the first report of a semi-selective agar medium to detect the presence of Xam in naturally infected cotton seed.

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The objective of this case study is to provide a Finnish solution provider company an objective, in-depth analysis of their project based business and especially of project estimation accuracy. A project and customer profitability analysis is conducted as a complementary addition to describe profitability of the Case Company’s core division. The theoretical framework is constructed on project profitability and customer profitability analysis. Project profitability is approached starting from managing projects, continuing to project pricing process and concluding to project success. The empirical part of this study describes the Case Company’s project portfolio, and by means of quantitative analysis, the study describes how the characteristics of a project impact the project’s profitability. The findings indicate that it really makes a difference in project portfolio’s estimated and actual profitability when methods of installation and technical specifications are scrutinized. Implications on profitability are gathered into a risk assessment tool proposal.

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Credit risk assessment is an integral part of banking. Credit risk means that the return will not materialise in case the customer fails to fulfil its obligations. Thus a key component of banking is setting acceptance criteria for granting loans. Theoretical part of the study focuses on key components of credit assessment methods of Banks in the literature when extending credits to large corporations. Main component is Basel II Accord, which sets regulatory requirement for credit risk assessment methods of banks. Empirical part comprises, as primary source, analysis of major Nordic banks’ annual reports and risk management reports. As secondary source complimentary interviews were carried out with senior credit risk assessment personnel. The findings indicate that all major Nordic banks are using combination of quantitative and qualitative information in credit risk assessment model when extending credits to large corporations. The relative input of qualitative information depends on the selected approach to the credit rating, i.e. point-in-time or through-the-cycle.

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The aim of this research was to understand the reasoning developed by medical students in a public university in Brazil. This research on education included semi-structured interviews and film recordings of interns discussing 10 clinical cases. A sample of 16 interns analyzed cases presented on a notebook computer with a webcam. They were instructed to verbalize all their thoughts on the procedures they would use. The film recordings and transcripts of the interviews were analyzed. Quantitative data was evaluated using Yates' chi-squared test and speech analysis was used to evaluate the transcripts. The theme worked on in the practice of reasoning was: the student's perceptions of their clinical practice. Of the 160 diagnoses, 57% were done with analytical reasoning and 43% with non-analytical reasoning. The hypothetical deductive method was employed by 31% of the interns and the inductive method was employed by 69%. The diagnostic accuracy was 81% correct for easy cases and 85% correct for difficult cases. We observed two empirical categories: the cognitive universe of the student and the patient's context.

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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.

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The objective of this thesis was to study the role of capabilities in purchasing and supply management. For the pre-understanding of the research topic, purchasing and supply management development and the multidimensional, unstructured and complex nature of purchasing and supply management performance was studied in literature review. In addition, a capability-based purchasing and supply management performance framework were researched and structured for the empirical research. Due to the unstructured nature of the research topic, the empirical research is three-pronged in this study including three different research methods: the Delphi method, semi-structured interview, and case research. As a result, the purchasing and supply management capability assessment tool was structured to measure current level of capabilities and impact of capabilities on purchasing and supply management performance. The final results indicate that capabilities are enablers of purchasing and supply management performance, and therefore critical to purchasing and supply performance.

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Tämä tutkimus tarkastelee siirtohinnoittelun periaatteita ja sen taustalla vaikuttavia tekijöitä. Tutkielman tavoitteena on tutkia kohdeyrityksen nykyistä siirtohinnoittelua ja laatia sille periaatteet sen yksiköiden väliselle sisäiselle kaupalle. Tarkoituksena on kehittää siirtohinnoitteluperiaatteet, jotka auttavat johtoa liiketoiminnan eteenpäin viemisessä niin, että nuo periaatteet ovat samalla oikeudenmukaiset kohdeyrityksen eri osapuolille. Tutkimus on luonteeltaan kvalitatiivinen, teoreettinen ja kuvaileva case-tutkimus. Se tuo esille teoriaosuudessa eri siirtohinnoitteluvaihtoehtoja ja pohtii analyyttisesti niiden hyötyjä ja haittoja. Teoriaosuus perustuu kattavalle kirjallisuudelle, jonka avulla otetaan huomioon tekijöitä, jotka vaikuttavat siirtohinnoitteluprosessin taustalla. Tutkielman empiirinen aineisto kerättiin haastattelemalla kohdeyrityksen ylintä johtoa. Haastatteluiden rakenne oli luonteeltaan puolistrukturoitu. Lisäksi käytiin aiheeseen liittyvää keskustelua useaan otteeseen kohde-yrityksen talouspäällikön kanssa sekä tehtiin tutustumiskäynti erääseen osuuskuntaan, jossa kohdeyritys on osakkaana. Vierailu perustui osuuskunnan talouspäällikön pitämään esitykseen ja sen aikana käytyyn keskusteluun. Haastattelut tehtiin kevään 2012 aikana. Tutkimuksen perusteella siirtohinnoittelu on monimutkainen prosessi, jossa samanaikaisesti ei voida saavuttaa kaikkia siltä vaadittuja tavoitteita. Siirtohinnoitteluperiaatteita laadittaessa tulee ottaa etenkin huomioon 1) organisaation liiketoiminnan luonne 2) yksiköiden luonne, 3) vaihdettavien tuotteiden luonne, 4) erilaisten hintojen saatavuus sekä 5) suorituskyvyn mittaus ja arviointi. Tämä tutkimus suosittelee kohdeyrityksen tulos-yksiköille yleisesti mukautetun markkinaperusteisen siirtohinnoittelu-vaihtoehdon käyttöönottoa. Jalostustoimintaa vaativien tuotteiden sisäiselle kaupalle tutkimus suosittelee kustannusperusteisen vaihtoehdon noudattamista.

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The aim of this master’s thesis is to study how Agile method (Scrum) and open source software are utilized to produce software for a flagship product in a complex production environment. The empirical case and the used artefacts are taken from the Nokia MeeGo N9 product program, and from the related software program, called as the Harmattan. The single research case is analysed by using a qualitative method. The Grounded Theory principles are utilized, first, to find out all the related concepts from artefacts. Second, these concepts are analysed, and finally categorized to a core category and six supported categories. The result is formulated as the operation of software practices conceivable in circumstances, where the accountable software development teams and related context accepts a open source software nature as a part of business vision and the whole organization supports the Agile methods.

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There are vast changes in the work environment, and the traditional rules and management methods might not be suitable for today’s employees anymore. The meaning of work is also changing due to the younger and higher educated generations entering the markets. Old customs need to be re-validated and new approaches should be taken into use. This paper strongly emphasizes the importance of happiness research and happiness at work. The values towards the meaning of work are changing; people demand happiness and quality from all aspects of their lives. The aim of this study is to define happiness - especially at work - and to explain how it can be measured and what kind of results achieved. I also want to find out how the contents of work and the working environment might enhance happiness. The correlation between education and happiness is discussed and examined. I am aware that the findings and theories are concentrating mainly on Western Countries and highlighting the values and work-environments of those societies. The main aim of the empirical study is to find out if there are connections between happiness and work in data collected by World Value Survey in 2005, and if the profession has effects on happiness. Other factors such as the correlation of age, sex, education and income are examined too. I also want to find out what kind of values people have towards work and how these affect the happiness levels. The focus is on two nations: Finland (N=1014) and Italy (N=1012). I have also taken the global comparison within, that is all 54 countries (N=66,566) included in the 5th wave (during the years 2005 -2008) of the World Value Survey. The results suggest that people are generally happy around the world; happiness decreasing with the age, the educated being happier than the uneducated and the employed happier than the unemployed. People working in neat “white collar” jobs are more likely happier than those working in factories or outdoors. Money makes us happier, until certain level is reached. Work is important to people and the importance of work adds happiness. Work is also highly appreciated, but there are more happy people among those who do not appreciate work that highly. Safety matters the most when looking for a job, and there are more happy people among those who have selected the importance of work as the first choice when looking for a job, than among those to whom an income is the most important aspect. People are more likely happy when the quality of work is high, that is when their job consists of creative and cognitive tasks and when they have a feeling of independence.

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Corporate events as an effective part of marketing communications strategy seem to be underestimated in Finnish companies. In the rest of the Europe and the USA, investments in events are increasing, and their share of the marketing budget is significant. The growth of the industry may be explained by the numerous advantages and opportunities that events provide for attendees, such as face-to-face marketing, enhancing corporate image, building relationships, increasing sales, and gathering information. In order to maximize these benefits and return on investment, specific measurement strategies are required, yet there seems to exist a lack of understanding of how event performance should be perceived or evaluated. To address this research gap, this research attempts to describe the perceptions of and strategies for evaluating corporate event performance in the Finnish events industry. First, corporate events are discussed in terms of definitions and characteristics, typologies, and their role in marketing communications. Second, different theories on evaluating corporate event performance are presented and analyzed. Third, a conceptual model is presented based on the literature review, which serves as a basis for the empirical research conducted as an online questionnaire. The empirical findings are to a great extent in line with the existing literature, suggesting that there remains a lack of understanding corporate event performance evaluation, and challenges arise in determining appropriate measurement procedures for it. Setting clear objectives for events is a significant aspect of the evaluation process, since the outcomes of events are usually evaluated against the preset objectives. The respondent companies utilize many of the individual techniques that were recognized in theory, such as calculating the number of sales leads and delegates. However, some of the measurement tools may require further investments and resources, thus restricting their application especially in smaller companies. In addition, there seems to be a lack of knowledge of the most appropriate methods in different contexts, which take into account the characteristics of the organizing party as well as the size and nature of the event. The lack of inhouse expertise enhances the need for third-party service-providers in solving problems of corporate event measurement.

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Tutkimuksen tarkoituksena on selvittää, millainen vaikutus yrityskuvalla on yrityksen rekrytointiprosessiin. Yrityskuva- ja rekrytointikirjallisuuden pohjalta luotiin tutkimukselle viitekehys, jonka pohjalta yrityskuvan ja rekrytointiprosessin välistä suhdetta analysoitiin. Tutkimuksen empiirinen osa toteutettiin tapaustutkimuksena kvalitatiivisia tutkimusmenetelmiä hyödyntäen. Kohdeyrityksenä toimi Gigantti Oy Ab, ja tiedonkeruu toteutettiin puolistrukturoiduilla teemahaastatteluilla yhteensä kolmessa Gigantin myymälässä sekä pääkonttorilla. Tutkimuksen tulokset osoittavat, että yrityskuva vaikuttaa yrityksen kiinnostavuuteen ja positiivinen yrityskuva lisää hakijamääriä. Myös yrityksen tapa suorittaa rekrytointinsa vaikuttaa yrityksen yrityskuvaan, sillä se muokkaa hakijoiden mielikuvia yrityksestä.

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Tutkimuksen tavoitteena oli tutkia asiantuntijaorganisaation henkilöstön työmotivaatioon vaikuttavia tekijöitä. Konkreettisena tavoitteena oli kehittää asiantuntijaorganisaation olemassa olevaan suorituskykymittaristoon uusia mittareita, joiden avulla yrityksessä pyritään luomaan asiantuntijoille mahdollisimman motivoiva työskentelyilmapiiri. Tutkimus toteutettiin kvalitatiivisena tapaustutkimuksena. Tutkimuksen teoreettisessa osuudessa tutkittiin asiantuntijan työmotivaatioon vaikuttavia tekijöitä sekä aineettoman pääoman mittaamista. Empiirisessä osuudessa tutkittiin pienen asiantuntijaorganisaation työskentelyolosuhteita. Aineistonkeruumenetelmänä toimi vanha tutkimustieto, puolistrukturoidun haastattelun piirteitä omaavat teemahaastattelut sekä tutkijan oma havainnointi. Asiantuntijan motivaatioon vaikuttaa erityisen paljon henkilökohtainen kasvu, autonomisuus, merkityksellinen työ, haasteelliset ja vaihtelevat työtehtävät sekä työstä saatu palaute. Vähemmän merkittäviä motivaattoreita ovat raha, työsuhteen jatkuvuus, ystävälliset työtoverit, kunnioitus ja oikeudenmukainen kohtelu. Urakehitystä asiantuntija ei koe erityisen motivoivana asiana. Tutkimuksen kohdeyrityksen haasteiksi ilmeni erityisesti palautteen antaminen, osaamisen ja koulutuksen johtaminen, autonomian vähyys projektin käyttöönotto vaiheessa sekä työn kuormittavuuden jakautuminen. Uudet mittarisuoritukset kohdeyrityksessä ovat: projektipalautteen antaminen, positiivisen palautteen määrä, projektien edistymispalaverit, projektikatselmukset, suunnittelun tuntiarviot, sisäisten kehitysideoiden toteutuminen, työntekijöiden kuormituksen jakautuminen sekä koulutuksen ja osaamisen jakautuminen.

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Aikakauslehtialalla on vallalla ollut jo useamman vuoden ajan median digitaalinen murros, jonka vuoksi lehtitalot ovat joutuneet muuttamaan käytössä olleita toimintatapojaan ja kehittämään uusiin jakelukanaviin sisältöä pysyäkseen kovassa kilpailussa mukana. Tässä pro gradussa esitetään innovatiivisen konstruktiivisen mallin ja perinteisemmän liiketoimintasuunnitelmaa korostavan suunnittelumallin yhtäläisyyksiä ja eroavuuksia. Tutkielman empiirisessä osassa vertaillaan mallien käytettävyyttä aikakauslehtialalla keskittymällä malleille ominaisiin neljään eri dimensioon ja dimensioista muodostettuihin teemoihin aikakauslehtialalle sovellettuina. Tutkielmassa esitellään mallien toimintalogiikoita sekä prosessikaaviot, jotka kuvaavat uuden idean kehitysprosessia yrityksessä. Tutkimusote on kvalitatiivinen ja haastatteluaineisto on toteutettu puolistrukturoidulla haastattelumenetelmällä. Tuloksien avulla voidaan todeta, että aikakauslehtialalla tapahtuva murros on jo muuttanut toimittajien arkipäiväistä työnkuvaa. Toimittajien oman ammattitaidon ja osaamisen jatkuva kehittäminen sekä uusiin jakelukanaviin tutustuminen ja sinne sisällön tuottaminen ovat haasteita, johon he joutuvat sopeutumaan jatkossa. Ammattitaidon ylläpitoa sekä oikeanlaisen asiakastutkimuksen hyödyntämistä voidaankin pitää malleja yhdistävinä tekijöinä. Malleja erottavia tekijöitä ovat vuorostaan innovatiivisten ideoiden läpivienti sekä riskinottokyky.