36 resultados para Gauss and Generalized Hypergeometric Functions

em Doria (National Library of Finland DSpace Services) - National Library of Finland, Finland


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A rigorous unit operation model is developed for vapor membrane separation. The new model is able to describe temperature, pressure, and concentration dependent permeation as wellreal fluid effects in vapor and gas separation with hydrocarbon selective rubbery polymeric membranes. The permeation through the membrane is described by a separate treatment of sorption and diffusion within the membrane. The chemical engineering thermodynamics is used to describe the equilibrium sorption of vapors and gases in rubbery membranes with equation of state models for polymeric systems. Also a new modification of the UNIFAC model is proposed for this purpose. Various thermodynamic models are extensively compared in order to verify the models' ability to predict and correlate experimental vapor-liquid equilibrium data. The penetrant transport through the selective layer of the membrane is described with the generalized Maxwell-Stefan equations, which are able to account for thebulk flux contribution as well as the diffusive coupling effect. A method is described to compute and correlate binary penetrant¿membrane diffusion coefficients from the experimental permeability coefficients at different temperatures and pressures. A fluid flow model for spiral-wound modules is derived from the conservation equation of mass, momentum, and energy. The conservation equations are presented in a discretized form by using the control volume approach. A combination of the permeation model and the fluid flow model yields the desired rigorous model for vapor membrane separation. The model is implemented into an inhouse process simulator and so vapor membrane separation may be evaluated as an integralpart of a process flowsheet.

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This PhD thesis in Mathematics belongs to the field of Geometric Function Theory. The thesis consists of four original papers. The topic studied deals with quasiconformal mappings and their distortion theory in Euclidean n-dimensional spaces. This theory has its roots in the pioneering papers of F. W. Gehring and J. Väisälä published in the early 1960’s and it has been studied by many mathematicians thereafter. In the first paper we refine the known bounds for the so-called Mori constant and also estimate the distortion in the hyperbolic metric. The second paper deals with radial functions which are simple examples of quasiconformal mappings. These radial functions lead us to the study of the so-called p-angular distance which has been studied recently e.g. by L. Maligranda and S. Dragomir. In the third paper we study a class of functions of a real variable studied by P. Lindqvist in an influential paper. This leads one to study parametrized analogues of classical trigonometric and hyperbolic functions which for the parameter value p = 2 coincide with the classical functions. Gaussian hypergeometric functions have an important role in the study of these special functions. Several new inequalities and identities involving p-analogues of these functions are also given. In the fourth paper we study the generalized complete elliptic integrals, modular functions and some related functions. We find the upper and lower bounds of these functions, and those bounds are given in a simple form. This theory has a long history which goes back two centuries and includes names such as A. M. Legendre, C. Jacobi, C. F. Gauss. Modular functions also occur in the study of quasiconformal mappings. Conformal invariants, such as the modulus of a curve family, are often applied in quasiconformal mapping theory. The invariants can be sometimes expressed in terms of special conformal mappings. This fact explains why special functions often occur in this theory.

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Työ käsittelee Metso Paper Servicen varaosa- ja kulutusosatuotelinjojen mahdollisuuksia sähköiseen liiketoimintaan ulkoisten asiakkaiden kanssa sekä sähköisten transaktioiden vaikutuksia, etuja ja edellytyksiä. Työssä selvitetään Metson ja sen kymmenen kotimaisen asiakastehtaan myynti- ja ostoprosessin toiminta. Prosessimallin avulla arvioidaan valmiuksia sähköisiin transaktioihin nykyisessä myynti- ja ostotoiminnassa. Tarkastelu painottuu toimintoihin tarjontaketjun eri vaiheissa. Teknisiä näkökohtia käsitellään kokonaiskuvan luomiseksi. Lisäksi työssä arvioidaan muutoksia, joita sähköinen liiketoiminta aiheuttaisi. Haastatteluin tehdyssä tutkimuksessa kartoitetaan näkemyksiä sähköiseen liiketoimintaan erilaisilla organisaation tasoilla. Kokonaisnäkemys syntyy erilaisista näkökulmista sähköiseen kauppaan. Sähköiseen liiketoimintaan suhtaudutaan myönteisesti. Kokemuksia on kuitenkin vielä vähän. Vaikka hankkeita sähköisen liiketoiminnan lisäämiseksi on vireillä, yhtä tärkeää on parantaa valmiuksia tehostamalla paitsi informaatiovirtaa, myös materiaalivirtaa.

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Työn tavoitteena on tunnistaa toiminnallisia riskitekijöitä rahoituspalveluita tarjoavan yrityksen IT-organisaatiossa sekä löytää arkipäiväisiä keinoja hallita näitä riskejä. Työssä riskejä on myös tarkasteltu mahdollisen ulkoistuksen yhteydessä. Fuusiot ovat yleisiä rahoitusalan yrityksissä. Yhteenliittymien tuloksena yritysten IT-arkkitehtuuri voi olla monimutkainen ja kulttuurierot yrityksessä suuria. Synergia- ja mittakaavaetuja saadakseen yritys keskittää toimintojaan ja IT-ratkaisujaan. Riskien tunnistaminen on riskienhallintaprosessin tärkein vaihe. Tässä tutkimuksessa riskit ja riskitekijät tunnistettiin itsearvioinnin avulla kysymyssarjoja hyväksikäyttäen. Monet riskitekijät liittyivät sisäisen valvonnan ja seurannan puutteisiin. Myöhemmin näille riskeille pohdittiin työryhmässä käytännönläheisiä hallintakeinoja. Yritys voi siirtää tai jakaa IT -riskejä ulkoistamalla. Ulkoistaminen voi kuitenkin tuoda mukaan myös uusia riskitekijöitä. Ennen ulkoistamispäätöstä yrityksen sisäisten prosessien ja organisaation on oltava järjestyksessä, jotta sopimuksen kannattavuutta voidaan verrata luotettavasti saman palvelun tuottamiseen sisäisesti.

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There is an increasing reliance on computers to solve complex engineering problems. This is because computers, in addition to supporting the development and implementation of adequate and clear models, can especially minimize the financial support required. The ability of computers to perform complex calculations at high speed has enabled the creation of highly complex systems to model real-world phenomena. The complexity of the fluid dynamics problem makes it difficult or impossible to solve equations of an object in a flow exactly. Approximate solutions can be obtained by construction and measurement of prototypes placed in a flow, or by use of a numerical simulation. Since usage of prototypes can be prohibitively time-consuming and expensive, many have turned to simulations to provide insight during the engineering process. In this case the simulation setup and parameters can be altered much more easily than one could with a real-world experiment. The objective of this research work is to develop numerical models for different suspensions (fiber suspensions, blood flow through microvessels and branching geometries, and magnetic fluids), and also fluid flow through porous media. The models will have merit as a scientific tool and will also have practical application in industries. Most of the numerical simulations were done by the commercial software, Fluent, and user defined functions were added to apply a multiscale method and magnetic field. The results from simulation of fiber suspension can elucidate the physics behind the break up of a fiber floc, opening the possibility for developing a meaningful numerical model of the fiber flow. The simulation of blood movement from an arteriole through a venule via a capillary showed that the model based on VOF can successfully predict the deformation and flow of RBCs in an arteriole. Furthermore, the result corresponds to the experimental observation illustrates that the RBC is deformed during the movement. The concluding remarks presented, provide a correct methodology and a mathematical and numerical framework for the simulation of blood flows in branching. Analysis of ferrofluids simulations indicate that the magnetic Soret effect can be even higher than the conventional one and its strength depends on the strength of magnetic field, confirmed experimentally by Völker and Odenbach. It was also shown that when a magnetic field is perpendicular to the temperature gradient, there will be additional increase in the heat transfer compared to the cases where the magnetic field is parallel to the temperature gradient. In addition, the statistical evaluation (Taguchi technique) on magnetic fluids showed that the temperature and initial concentration of the magnetic phase exert the maximum and minimum contribution to the thermodiffusion, respectively. In the simulation of flow through porous media, dimensionless pressure drop was studied at different Reynolds numbers, based on pore permeability and interstitial fluid velocity. The obtained results agreed well with the correlation of Macdonald et al. (1979) for the range of actual flow Reynolds studied. Furthermore, calculated results for the dispersion coefficients in the cylinder geometry were found to be in agreement with those of Seymour and Callaghan.

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Regulation of cell growth, death, and polarization by ERBB4 ErbB4 is a member of the epidermal growth factor receptor (EGFR, ErbB) family. The other members are EGFR, ErbB2 and ErbB3. ErbB receptors are important regulators for example in cardiovascular, neural and breast development but control key cellular functions also in many adult tissues. Abnormal ErbB signaling has been shown to be involved in various illnesses such as cancers and heart diseases. Among the ErbBs, ErbB4 has been shown to have unique signaling characteristics. ErbB4 exists in four alternatively spliced isoforms that are expressed in a tissue-specific manner. Two of the isoforms can be cleaved by membrane proteases, resulting in release of soluble intracellular domains (ICD). Once released into the cytosol, the ICD is capable of translocating into the nucleus and participating in regulation of transcription. The functional differences and the tissue-specific expression patterns suggest isoformspecific roles for ErbB4 isoforms. However, the abilities of ErbB4 isoforms to differently regulate cellular functions were discovered only recently and are not well understood. This study aimed to determine the expression patterns of ErbB4 in normal and diseased tissue, and to define whether the cleavable and non-cleavable isoforms could regulate different target genes and therefore, cellular functions. In this study, a comprehensive ErbB4 expression pattern in several normal tissues, various cancers and non-neoplastic diseases was determined. In addition, the data demonstrated that the cleavable and non-cleavable ErbB4 isoforms could regulate different cellular functions and target genes. Finally, this study defined the cellular responses regulated by ErbB4 during kidney development.

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Intensive and critical care nursing is a speciality in its own right and with its own nature within the nursing profession. This speciality poses its own demands for nursing competencies. Intensive and critical care nursing is focused on severely ill patients and their significant others. The patients are comprehensively cared for, constantly monitored and their vital functions are sustained artificially. The main goal is to win time to cure the cause of the patient’s situation or illness. The purpose of this empirical study was i) to describe and define competence and competence requirements in intensive and critical care nursing, ii) to develop a basic measurement scale for competence assessment in intensive and critical care nursing for graduating nursing students, and iii) to describe and evaluate graduating nursing students’ basic competence in intensive and critical care nursing by seeking the reference basis of self-evaluated basic competence in intensive and critical care nursing from ICU nurses. However, the main focus of this study was on the outcomes of nursing education in this nursing speciality. The study was carried out in different phases: basic exploration of competence (phase 1 and 2), instrumentation of competence (phase 3) and evaluation of competence (phase 4). Phase 1 (n=130) evaluated graduating nursing students’ basic biological and physiological knowledge and skills for working in intensive and critical care with Basic Knowledge Assessment Tool version 5 (BKAT-5, Toth 2012). Phase 2 focused on defining competence in intensive and critical care nursing with the help of literature review (n=45 empirical studies) as well as competence requirements in intensive and critical care nursing with the help of experts (n=45 experts) in a Delphi study. In phase 3 the scale Intensive and Critical Care Nursing Competence Scale (ICCN-CS) was developed and tested twice (pilot test 1: n=18 students and n=12 nurses; pilot test 2: n=56 students and n=54 nurses). Finally, in phase 4, graduating nursing students’ competence was evaluated with ICCN-CS and BKAT version 7 (Toth 2012). In order to develop a valid assessment scale of competence for graduating nursing students and to evaluate and establish the competence of graduating nursing students, empirical data were retrieved at the same time from both graduating nursing students (n=139) and ICU nurses (n=431). Competence can be divided into clinical and general professional competence. It can be defined as a specific knowledge base, skill base, attitude and value base and experience base of nursing and the personal base of an intensive and critical care nurse. Personal base was excluded in this self-evaluation based scale. The ICCN-CS-1 consists of 144 items (6 sum variables). Finally, it became evident that the experience base of competence is not a suitable sum variable in holistic intensive and critical care competence scale for graduating nursing students because of their minor experience in this special nursing area. ICCN-CS-1 is a reliable and tolerably valid scale for use among graduating nursing students and ICU nurses Among students, basic competence of intensive and critical care nursing was self-rated as good by 69%, as excellent by 25% and as moderate by 6%. However, graduating nursing students’ basic biological and physiological knowledge and skills for working in intensive and critical care were poor. The students rated their clinical and professional competence as good, and their knowledge base and skill base as moderate. They gave slightly higher ratings for their knowledge base than skill base. Differences in basic competence emerged between graduating nursing students and ICU nurses. The students’ self-ratings of both their basic competence and clinical and professional competence were significantly lower than the nurses’ ratings. The students’ self-ratings of their knowledge and skill base were also statistically significantly lower than nurses’ ratings. However, both groups reported the same attitude and value base, which was excellent. The strongest factor explaining students’ conception of their competence was their experience of autonomy in nursing. Conclusions: Competence in intensive and critical care nursing is a multidimensional concept. Basic competence in intensive and critical care nursing can be measured with self-evaluation based scale but alongside should be used an objective evaluation method. Graduating nursing students’ basic competence in intensive and critical care nursing is good but their knowledge and skill base are moderate. Especially the biological and physiological knowledge base is poor. Therefore in future in intensive and critical care nursing education should be focused on both strengthening students’ biological and physiological knowledge base and on strengthening their overall skill base. Practical implications are presented for nursing education, practice and administration. In future, research should focus on education methods and contents, mentoring of clinical practice and orientation programmes as well as further development of the scale.

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The objective of this Master’s thesis is to examine financial functions, controlling and management in joint ventures of Manufacturing Corporation Oyj Recovered Paper business area. This case study investigated the current situation of financial functions and find out causes that have led the situation. Current situation of financial functions in joint ventures is variable. The most of the companies is outsourced at least some tasks. However, narrow reporting and problems in reliability are the biggest lack of financial controlling and management. The result of study consists of two parts: short-term and long-term improvement. Short-term improvement includes selected solution to outsource all routine financial tasks to new outsourcing partner and improve financial functions. Long-term improvements aim to create better controlling and management system to joint ventures. It is formed corporate governance and performance measurement. In this study it developed new Balanced Scorecard (BSC) for recovered paper joint ventures. Dimensions of BSC are quality, delivery (time), price and financial controlling and management. Earlier researched are showed problems in success of joint venture relationships. Similar results are obtained in this study. In future research, suitable of developed Balanced Scorecard for other industries could be studied

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The objective of this thesis is to develop and generalize further the differential evolution based data classification method. For many years, evolutionary algorithms have been successfully applied to many classification tasks. Evolution algorithms are population based, stochastic search algorithms that mimic natural selection and genetics. Differential evolution is an evolutionary algorithm that has gained popularity because of its simplicity and good observed performance. In this thesis a differential evolution classifier with pool of distances is proposed, demonstrated and initially evaluated. The differential evolution classifier is a nearest prototype vector based classifier that applies a global optimization algorithm, differential evolution, to determine the optimal values for all free parameters of the classifier model during the training phase of the classifier. The differential evolution classifier applies the individually optimized distance measure for each new data set to be classified is generalized to cover a pool of distances. Instead of optimizing a single distance measure for the given data set, the selection of the optimal distance measure from a predefined pool of alternative measures is attempted systematically and automatically. Furthermore, instead of only selecting the optimal distance measure from a set of alternatives, an attempt is made to optimize the values of the possible control parameters related with the selected distance measure. Specifically, a pool of alternative distance measures is first created and then the differential evolution algorithm is applied to select the optimal distance measure that yields the highest classification accuracy with the current data. After determining the optimal distance measures for the given data set together with their optimal parameters, all determined distance measures are aggregated to form a single total distance measure. The total distance measure is applied to the final classification decisions. The actual classification process is still based on the nearest prototype vector principle; a sample belongs to the class represented by the nearest prototype vector when measured with the optimized total distance measure. During the training process the differential evolution algorithm determines the optimal class vectors, selects optimal distance metrics, and determines the optimal values for the free parameters of each selected distance measure. The results obtained with the above method confirm that the choice of distance measure is one of the most crucial factors for obtaining higher classification accuracy. The results also demonstrate that it is possible to build a classifier that is able to select the optimal distance measure for the given data set automatically and systematically. After finding optimal distance measures together with optimal parameters from the particular distance measure results are then aggregated to form a total distance, which will be used to form the deviation between the class vectors and samples and thus classify the samples. This thesis also discusses two types of aggregation operators, namely, ordered weighted averaging (OWA) based multi-distances and generalized ordered weighted averaging (GOWA). These aggregation operators were applied in this work to the aggregation of the normalized distance values. The results demonstrate that a proper combination of aggregation operator and weight generation scheme play an important role in obtaining good classification accuracy. The main outcomes of the work are the six new generalized versions of previous method called differential evolution classifier. All these DE classifier demonstrated good results in the classification tasks.

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E. Summary: Cut-off, the particle eiku and other particles for initiating self-repair, and the interactional functions of self-repair

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Diplomityö on tehty Uudessakaupungissa sijaitsevalle Segerström & Svensson Oy:lle. Työn päätarkoituksena oli kartoittaa yrityksen hankintatoimen tavoitteet ja muodostaa tämän pohjalta yrityksen hankintatoimintoja ohjaava hankintastrategia. Päämääränä oli kohdistaa yrityksen huomio sille tärkeimpiin hankintojen osa-alueisiin ja kehittää strategia joka ottaa huomioon hankintojen erilaisuuden eri toimittaja- ja tuoteryhmille. Strategian tavoite on kehittää hankintatoimintoja systemaattiseen ja tavoitteelliseen työskentelyyn koko yrityksen kannattavuutta parantaen. Työn aikana yrityksen asiakaskunnassa ja toiminnassa tapahtui suuria muutoksia, jotka piti ottaa huomioon kehitettäessä hankintastrategiaa ja hankintojen eri toimintoja. Strategian kehittäminen alkoi yrityksen nykytilanteen analysoinnilla ja tulevaisuuden tarpeiden määrityksellä. Seuraavaksi analysoitiin hankintatoimintojen nykyinen asema ja sen eri toiminnot. Tämän pohjalta luotiin tarvemääritys tulevalle strategialle ja hankintojen eri toiminnoille. Strategiassa luotiin hankintojen organisoinnille, nimikkeiden ohjaukselle, hankintojen kustannustehokkuudelle ja toimittajayhteistyölle toimittajaryhmittäiset tavoitteet ja työskentelytavat. Hankintatoimelle kehitettiin seurantaperusteet, jonka avulla todennetaan strategiassa asetettujen tavoitteiden toteutuminen. Strategian määrityksen lisäksi uusittiin useita hankintojen toimintoja. Esimerkkeinä tästä uudet tilausmenetelmät ja toimittajaseuranta. Hankintojen jatkokehitystä varten on yrityksessä käynnistetty 'Supply Management' kehitysprojekti.

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Työn tavoitteena oli kehittää MaestroYhtiöiden liiketoimintaprosesseja. Ensin selvitettiin liiketoimintaprosessien nykytila, jonka perusteella kehitettiin, kuvattiin rajapintoineen ja ohjeistettiin uudet liiketoimintaprosessit. Lopuksi määriteltiin muutamia prosessimittareita lähinnä tuotantotiimin käyttöön. Prosessien kehittämisen lisäksi tehtiin toiminnan kehittämissuunnitelma ohjausryhmäksi kutsutun kehittämistiimin toimesta ulkopuolisen konsultin avustamana. Ohjausryhmä määritteli tavoitteita toiminnalle ja konkreettisia keinoja niiden saavuttamiseksi. Tämän jälkeen tehtiin aikataulu tavoitteiden toteuttamiseksi. Tavoitteiden toteutumista seurataan säännöllisesti. Yrityksen kasvaessa on henkilökunnan määrä lisääntynyt nopeasti. Henkilöstömäärän kasvuvauhti on edennyt siinä määrin, että toimintatapoja on kehitettävä ja vakinaistettava, jotta pystytään toimimaan tehokkaasti ja sujuvasti. Taustalla on myös kahden eri toimipisteen erilaiset vaiheet. Savonlinnan toimipisteessä toiminta on jo vakiintunutta, mutta siellä onkin toimittu ohjelmistotuotannon parissa useita vuosia pidempään kuin Lappeenrannassa. Lappeenrannassa puolestaan tuotanto aloitettiin noin puolet pienemmällä miehityksellä kuin mitä se nykyään on ja toiminta hakee vielä muotoaan. Tarvetta toimintojen yhtenäistämiseen ja kehittämiseen eri tiimeissä ja toimipisteissä on, sillä yhteiset toimintatavat parantavat työn laatua ja tehokkuutta. Tuloksena työstä syntyi uudet prosessit kaikille tiimeille. Uudet rajapintoineen kuvatut prosessit on myös ohjeistettuna. Uusitut prosessit ovat seuraavassa vaiheessa saatava käyttöön. Prosessien käyttöönotto on tiiminvetäjien vastuulla. Myös prosessimittareiden käyttö ja seuraaminen on tiiminvetäjien vastuulla. Ohjausryhmän toiminnasta syntyi lista tavoitteita ja aikataulu tavoitteiden saavuttamiseksi. Tämän työn aikana päästiin ensimmäiseen aikataulun mukaiseen etappiin ja tavoitteet olivat toteutuneet melko hyvin. Tämä ohjausryhmän toiminta jatkuu tulevaisuudessakin tavoitteiden seurannan muodossa. Mahdollisesti ohjausryhmä voi myös luoda uusia tavoitteita samalla tavalla ja seurata niiden toteutumista.

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Mitä on läsnäolo? Tämä työ määrittelee läsnäolon tietyn henkilön, laitteen tai palvelun halukkuudeksi kommunikoida. Nykyään on olemassa lukuisia läsnäolotietoa levittäviä sovelluksia, joista jokainen käyttää erilaista protokollaa tehtävän suorittamiseen. Vasta viime aikoina sovellusten kehittäjät ovat huomanneet tarpeen yhdelle sovellukselle, joka kykenee tukemaan lukuisia läsnäoloprotokollia. Session Initiation Protocol (SIP) voi levittää läsnäolotietoa muiden ominaisuuksiensa lisäksi. Kun muita protokollia käytetään vain reaaliaikaiseen viestintään ja läsnäolotiedon lähetykseen, SIP pystyy moniin muihinkin asioihin. Se on alunperin suunniteltu aloittamaan, muuttamaan ja lopettamaan osapuolien välisiä multimediaistuntoja. Arkkitehtuurin toteutus käyttää kahta Symbian –käyttöjärjestelmän perusominaisuutta: asiakas-palvelin rakennetta ja kontaktitietokantaa. Asiakaspalvelin rakenne erottaa asiakkaan protokollasta tarjoten perustan laajennettavalle usean protokollan arkkitehtuurille ja kontaktitietokanta toimii läsnäolotietojen varastona. Työn tuloksena on Symbianin käyttöjärjestelmässä toimiva läsnäoloasiakas.