Grids, multi-clusters, NUMA systems, and ad-hoc collections of distributed computing devices all present diverse environments in which distributed computing applications can be run. Due to the diversity of features provided by these environments a distributed application that is to perform well must be specifically designed and optimised for the environment in which it is deployed. Such optimisations generally affect the application's communication structure, its consistency protocols, and its communication protocols. This thesis explores approaches to improving the ability of distributed applications to share consistent data efficiently and with improved functionality over wide-area and diverse environments. We identify a fundamental separation of concerns for distributed applications. This is used to propose a new model, called the view model, which is a hybrid, cost-conscious approach to remote data sharing. It provides the necessary mechanisms and interconnects to improve the flexibility and functionality of data sharing without defining new programming models or protocols. We employ the view model to adapt distributed applications to their run-time environment without modifying the application or inventing new consistency or communication protocols. We explore the use of view model properties on several programming models and their consistency protocols. In particular, we focus on programming models used in distributed-shared-memory middleware and applications, as these can benefit significantly from the properties of the view model. Our evaluation demonstrates the benefits, side effects and potential short-comings of the view model by comparing our model with traditional models when running distributed applications across several multi-clusters scenarios. In particular, we show that the view model improves the performance of distributed applications while reducing resource usage and communication overheads.

Abstract Personality disorders (PDs) are relatively common mental disorders associating with other psychiatric disorders and disability. The aim of the study was to determine the occurrence of PDs in a general population subsample and psychiatric hospital patients, the associations of PDs with childhood family structure, the co-occurrence of PD with common psychiatric disorders, and the associations between PDs and temperament. The study is part of the Northern Finland 1966 Birth Cohort Project (NFBC 1966), consisting of cohort members living in Oulu (N = 1,609) on 1st January 1997 (the Oulu Study). The study consisted of a two-stage psychiatric field survey with questionnaires and a structured clinical interview and analysis of the patient records in public outpatient care. Information concerning psychiatric illness of all cohort members (N = 12,058) was gathered from the Finnish Hospital Discharge register (FHDR). The best-estimate procedure was used for the assessment of psychiatric morbidity including PDs. Childhood family structure and other sociodemographic variables were drawn from questionnaires of the field study conducted during earlier follow-up studies. In this study PDs were classified into three clusters: Cluster A (paranoid, schizoid and schizotypal PD), Cluster B (antisocial, borderline, histrionic, and narcissistic PD), and Cluster C (avoidant, dependent, obsessive-compulsive, and passive-aggressive PD). The most common PDs in the Oulu Study sample were Cluster C PDs, whereas Cluster B PDs were most common in the hospital-treated sample. PDs were highly associated with mood, anxiety and substance use disorders. Single-parent family type in childhood was associated with PDs, especially Cluster B PDs in adulthood. PD clusters were associated with different profiles of temperament, but the temperament dimensions could not distinguish different PDs very well. These results indicated that it is important to recognize PDs and their comorbid psychiatric disorders. This will have implications in both general outpatient care and psychiatry. These results indicate the importance of recognition of childhood risk factors for PDs for the prevention of severe PDs. The results suggest a need for more studies about the aetiology and development of PDs. / Tiivistelmä Persoonallisuushäiriöt ovat yleisiä mielenterveyden ongelmia, joihin liittyy usein psykiatrista oheissairastavuutta ja toimintakyvyn laskua. Tämän tutkimuksen tarkoituksena oli arvioida persoonallisuushäiriöiden yleisyyttä nuorilla aikuisilla. tehtävänä oli arvoida yhteyksiä lapsuuden perherakenteeseen ja yleisimpiin psykiatrisiin häiriöihin sekä arvioida persoonallisuushäiriöiden yhteyksiä temperamenttitekijöihin. Tutkimus on osa Pohjois-Suomen vuoden 1966 syntymäkohortin psykiatrista osaprojektia, Oulu Studyä. Tutkimusaineiston muodostivat Oulu Studyn otokseen kuuluvat kaikki 1. tammikuuta 1997 Oulussa asuneet kohortin jäsenet (N = 1 609) sekä sairaalahoidossa olleiden persoonallisuushäiriö- diagnoosin saaneiden osalta koko alkuperäisen syntymäkohortin (N =  12 058) jäsenet. Tutkimus koostui kaksivaiheisesta psykiatrisesta kenttätutkimuksesta, jossa tietoja tutkittavilta kerättiin sekä kyselylomakkeiden ja haastattelututkimuksen avulla. Lisäksi tutkittavilta kerättiin tiedot heidän elinaikanaan toteutuneesta julkisten psykiatristen sairaala- ja avohoitopalvelujen käytöstä sairauskertomustietojen perusteella. Niin kutsutun best-estimated -menetelmän avulla arvioitiin tutkittavien psykiatrista sairastavuutta mukaan lukien persoonallisuushäiriöt. Tutkittavien lapsuuden perherakennetta ja sosiodemografisia tekijöitä arvioitiin aiempien seurantatutkimusten tietojen avulla. Tutkimuksessa persoonallisuushäiriöt luokiteltiin DSM-III-R-diagnoosiluokituksen mukaisesti kolmeen eri pääryhmään ja niiden mukaisiin alaryhmiin: Ryhmä A (epävakaa, eristäytyvä ja psykoosipiirteinen persoonallisuus), ryhmä B (epäsosiaalinen, epävakaa, huomionhakuinen ja narsistinen persoonallisuus) ja ryhmä C (estynyt, riippuvainen, pakko-oireinen ja passiivis-aggressiivinen persoonallisuus). Oulu Studyn väestöotoksessa yleisimpiä näistä olivat ns. C-ryhmän persoonallisuushäiriöt, kun taas sairaalahoidetuilla henkilöillä B-ryhmän persoonallisuushäiriöt olivat yleisimpiä. Persoonallisuushäiriöiden todettiin liittyvän yleisesti masennus- ja ahdistuneisuushäiriöihin sekä päihteiden käyttöön. Vanhemman yksinhuoltajuuden todettiin liittyvän persoonallisuushäiriöihin, etenkin B-ryhmän persoonallisuushäiriöihin. Persoonallisuushäiriöryhmät erosivat toisistaan temperamenttiprofiilien perusteella. Eri persoonallisuushäiriöistä kärsivillä tutkittavilla ei todettu tyypillisiä temperamenttiprofiileja. Johtopäätöksenä voidaan todeta, että persoonallisuushäiriöiden ja niihin yleisesti liittyvän psykiatrisen oheissairastavuuden tunnistaminen on tärkeää. Havainnot korostavat perusterveydenhuollon ja erikoissairaanhoidon yhteistyön merkitystä persoonallisuushäiriöistä ja psykiatrisista häiriöistä kärsivien henkilöiden tutkimuksessa ja hoidossa. Persoonallisuushäiriöille altistavien lapsuuden tekijöiden tunnistaminen on tärkeää vaikeiden persoonallisuushäiriöiden ehkäisemiseksi. Persoonallisuushäiriöiden etiologian ja kehittymisen selvittämiseksi tarvitaan uusia tutkimuksia.

The electricity cost is one of the largest components of operating costs on a belt conveyor system. This dissertation introduces a unique Conveyor Electricity Cost Efficiency Audit Methodology (CECEAM). In the CECEAM the conveyor system is evaluated from a high to detail level in order to identify opportunities to improve electricity costs. The CECEAM includes methodologies and tools developed to analyze not only the conveyor belt alone, but also the materials handling system as a whole. The outline of the dissertation is structured as follows: Chapter 1 includes the background and problem identification by means of a literature study. The main objective, as well as specific objectives, is defined in this chapter. In chapter 2, the CECEAM is introduced and an overview of the total methodology is discussed. The data acquisition part of the CECEAM; documentation, personnel, walk, technical audit as well as the conveyor database is discussed in chapter 3. Chapter 4 concentrates on the Conveyor Energy Conversion Model (CECM) and the verification thereof. The Integrated Conveyor Energy Model (ICEM) methodology is introduced (in chapter 5) and the economic evaluation concepts and energy management basics needed in the CECEAM are covered. Chapter 6 covers a CECEAM case study where the practical application of the CECEAM is illustrated with ICEM simulations, opportunity identification and recommendations. The conclusion and recommendations for further studies is proposed in chapter 7. / Dissertation (MSc (Electrical Engineering))--University of Pretoria, 2007. / Electrical, Electronic and Computer Engineering / unrestricted

The lack of a scope of practice for social workers in South Africa, and with that their right to do mental health diagnoses or even work with mental health clients, has led to conflict. There is not yet a clear agreement between the role players within South Africa, such as the South African Council for Social Service Professions (SACSSP) and South African Association of Social Workers in Private Practice (SAASWIPP). From the initial investigation, it became clear however that social workers in South Africa are often using the DSM system without training. One of the main concepts, namely ‘clinical social work’, is well defined in international literature. However, very little literature could be found within the South African context pertaining to who is qualified to be a clinical social worker or a social worker with the right to diagnose. This has caused some conflict on a practical level among social workers and ‘clinical’ social workers when operating in the field of mental health since the perception exists that some social workers overstep their boundaries or scope of practice. The research problem was formulated, based on social workers admitting that they are using the DSM system, regardless of their training or lack of training in the DSM system. Social workers do not receive sufficient training in mental health diagnostic systems in undergraduate training. The purpose of this study was to develop, implement and pilot test a programme to train social workers in the utilization of an accredited diagnostic system, namely the DSM system, when dealing with individuals who present with a specific disorder. The hypothesis that directed this research indicated that social workers, who receive formal training in the utilization of the DSM system, would be equipped with knowledge and insight with regard to the mental health of their clients. This could enhance the profession, since social workers would be able to participate in the multi-professional team with insight with regard to mental health terminology and pathology. A combined quantitative/qualitative research approach was followed, more specifically applied intervention research since the aim of the study was to contribute towards addressing a practical issue. The research objectives were to complete a literature study regarding social workers’ assessment in the context of the DSM system; to explore social workers’ knowledge, attitude, and utilization of the DSM system; to develop a training programme and train social workers in the utilization of the DSM; to implement the developed training programme for social workers in the utilization of the DSM; to pilot test the effectiveness and content of the training programme; and to draw conclusions and make recommendations with regard to the benefit for the social work profession as well as to multi-professional teamwork, should social workers receive training programme in the DSM system. The researcher collected data while the respondents attended a two-day training programme in the DSM system. Respondents completed a pre-test questionnaire as well as a post-test questionnaire on completion of the training programme. This data analysis was based on a quasi-experimental design, namely the ‘one-group pre-test-post-test design’. Conclusions and recommendations were made relating to social work training, social work in mental health and the DSM utilization in social work practice. The limitations of this study were the lack of literature, the need for training over a longer period, and especially the uncertainties regarding a nationally accepted scope of practice for social workers. The need for in-depth evaluation and advanced development of the programme is identified as both a limitation and a recommendation for future research. / Thesis (DPhil)--University of Pretoria, 2013. / Social Work and Criminology / unrestricted

Les transducteurs ultrasonores font l'objet de nombreux développements en contrôle non-destructif (CND) industriel. Utilisé ponctuellement et périodiquement, le CND ultrasonore permet d'établir des diagnostics sur la santé des matériaux. La caractérisation ultrasonore en temps réel constitue un outil de surveillance de l'évolution des propriétés physiques lors de la fabrication des matériaux composites. Dans ce contexte, des études sont menées au LOMC pour optimiser le procédé de fabrication des matériaux composites par RTM (Resin Transfer Molding) afin d’améliorer la qualité du produit. Ce travail de thèse consiste à développer des méthodes ultrasonores pour le suivi des propriétés viscoélastiques d’un composite pendant la phase de production. Les propriétés viscoélastiques sont étudiées à l’aide de modèles théoriques, de simulations numériques et de résultats expérimentaux. Des études de calibration ont été menées afin d’étudier les facteurs d’influence sur le suivi de propriétés ultrasonores lors de la mise en oeuvre d’un procédé RTM. Le suivi des paramètres viscoélastiques de résines époxy est effectué dans un premier temps à basse température au cours d'une polymérisation isotherme et d’une post-cuisson. Ensuite, une approche basée sur la méthode de caractérisation en émission/transmission a été développée afin d’étudier le comportement à haute température. La modélisation de la réponse électroacoustique par série de Debye (DSM) a été effectuée en se basant sur des approches analytiques. L’utilisation des transducteurs multiéléments permet la localisation et le dimensionnement de défauts lors du déplacement de fibres de carbone dans une résine liquide, entre des moules. / The developments based on ultrasonic transducers are nowadays numerous in the industrial non-destructive testing (NDT). Used punctually and periodically, the ultrasonic NDT is used for health diagnostics of materials. Ultrasonic characterization in real time allows a physical properties monitoring during the manufacturing of composite materials. In this context, studies are conducted in LOMC in view to optimize the manufacturing process of composite materials using RTM (Resin Transfer Molding) in order to improve the product quality. This work consists to develop ultrasonic methods for the monitoring of viscoelastic properties during the production phase of composites. The viscoelastic properties are studied using theoretical models, numerical simulations and experimental measurements. Calibration studies were carried out to study the influencing factors on the monitoring of ultrasonic properties during the RTM process. The monitoring of viscoelastic parameters of epoxy resins is performed in a first time at low temperature during an isothermal polymerization and a post-curing. Then, an approach based on the transmission mode characterization was developed to study high-temperature behavior. Based on analytical approaches, the electroacoustic response was simulated by Debye series method (DSM). The use of phased array transducers was investigated for the location and sizing of defects during the movement of the carbon fiber in a liquid resin between the molds.

Product development process (PDP) architecture holds the key to the management of New Product Development (NPD). A lot of care is exercised in managing the NPD to reduce risk and uncertainties. There exists potential scope for improvement both in initial planning as well as execution of the NPD program by studying the PDP architecture. This research work seeks to taps this potential and presents an analytical tool to aid the NPD Managers. In this research work Design Structure Matrices (DSM) are used to represent the PDP architecture. The Work Transformation Matrix (WTM) is a kind of DSM and it was introduced for the analysis of concurrent task structures. However a generalized task structure has not been studied analytically in the literature. In order to study a generalized task structure we add two new matrix types to the WTM set to represent the task network interconnections and the task interdependence. First we study the pure sequential task iteration structure for NPD and show that it has lower engineering effort (cost and time) than the concurrent task iteration structure previously discussed in literature. Next we study the generalized task iteration structure and derive the expressions for total work and cost vectors. This is a major research contribution since only simulation based methods are currently available for studying generalized task iteration structures. The optimization of sequencing interdependent tasks is a well known NP hard problem in NPD literature. For small sized task sets, exhaustive enumeration of all possible sequencing and their corresponding time or cost vectors can be computed to determine the optimal sequence. However for large sized task networks, only heuristic methods are deployed. Using the closed form expression for cost and time vectors for a pure sequential task iteration structure derived earlier in this research work, we attempt to devise a method to optimally sequence the design tasks. We develop new matrix combining both the node and link weightages of task network. Using the time vector relationship between sequential and concurrent task structures, it is shown that the optimal task sequence corresponds to the reordering of this combined matrix whose “Dominance index” (sum above the diagonal) is minimum. Finally, we use some of the standard test cases from the PDP literature to demonstrate our research findings.

The thesis describes state of the art financial consultant in the marketplace and their processes with reference to Czech legislation. Objective is map their processes and on the basis consultation create new information system, that would have improved work to consultants and enable effective accounting.

Introduction: This paper does not aim to predict the future of clinical psychology in Germany. The future of psychology depends on the complex interaction between political, sociological, economic and health-care related factors as well as on the scientific progress in the discipline itself and in neighbour disciplines. However, it is fair to say that clinical psychology continues to gain even stronger influences in health care and will face a number of new challenges over the next years of its expansion. Our paper will present some of these potential fields of development and change based on a brief description of the status quo. The focus of the article will be specific developments in Germany, although there will be an overlap with general tendencies that describe the situation of clinical psychology in the new millenium in general. Furthermore, for research as well as practice, the specific relationship between clinical psychology and psyciatry will be highlighted.

Much older soils data and soils information lies idle in libraries and archives and is largely unused, especially in developing countries like Kenya. We demonstrated the usefulness of a stepwise approach to bring legacy soils data ‘back to life’ using the 1980 <i>Reconnaissance Soil Map of the Busia Area</i> <i>(quarter degree sheet No. 101)</i> in western Kenya as an example. Three studies were conducted by using agronomic information, field observations, and laboratory data available in the published soil survey report as inputs to several digital soil mapping techniques. In the first study, the agronomic information in the survey report was interpreted to generate 10 land quality maps. The maps represented the ability of the land to perform specific agronomic functions. Nineteen crop suitability maps that were not previously available were also generated. In the second study, a dataset of 76 profile points mined from the survey report was used as input to three spatial prediction models for soil organic carbon (SOC) and texture. The three predictions models were (i) ordinary kriging, (ii) stepwise multiple linear regression, and (iii) the Soil Land Inference Model (SoLIM). Statistically, ordinary kriging performed better than SoLIM and stepwise multiple linear regression in predicting SOC (RMSE = 0.02), clay (RMSE = 0.32), and silt (RMSE = 0.10), whereas stepwise multiple linear regression performed better than SoLIM and ordinary kriging for predicting sand content (RSME = 0.11). Ordinary kriging had the narrowest 95% confidence interval while stepwise multiple linear regression had, the widest. From a pedological standpoint, SoLIM conformed better to the soil forming factors model than ordinary kriging and had a narrower confidence interval compared to stepwise multiple linear regression. In the third study, rules generated from the map legend and map unit descriptions were used to generate a soil class map. Information about soil distribution and parent material from the map unit polygon descriptions were combined with six terrain attributes, to generate a disaggregated fuzzy soil class map. The terrain attributes were multiresolution ridgetop flatness (MRRTF), multiresolution valley bottom flatness (MRVBF), topographic wetness index (TWI), topographic position index (TPI), planform curvature, and profile curvature. The final result was a soil class map with a spatial resolution of 30 m, an overall accuracy of 58% and a Kappa coefficient of 0.54. Motivated by the wealth of soil agronomic information generated by this study, we successfully tested the feasibility of delivering this information in rural western Kenya using the cell phone-based Soil Explorer app (<a href="https://soilexplorer.net/">https://soilexplorer.net/</a>). This study demonstrates that legacy soil data can play a critical role in providing sustainable solutions to some of the most pressing agronomic challenges currently facing Kenya and most African countries.<div><p></p></div>

Dagens industrier håller på att bli allt mer automatiserade, smartare och effektivare, i samband med detta ökas kraven att man tar fram noggrannare och pålitligare sensorsystem som är även kostnadseffektiva. Målet med denna undersökning har varit tillsammans med Iggesund Pappersbruk är att karakterisera noggrannheten för sensorn Ultrasonic Double sheet moniter (DSM) och även ta fram riktlinjer för en ingående inline mätande prototyp. Studien använder sig av väldigt enkla metoder för att karakterisera resolutionen och även undersöka det minimala avståndet för flera seriekopplade sensorer utan att de ingriper och stör varandras inläsningar. De programvaror som används under studien är PACTware och Matlab. Undersökningen visar resultat på en trovärdig noggrannhet utav sensorn och man har även kunnat karakteriserat detektions arean runt om receivern för den framtida prototypen. Avslutningsvis går studien igenom synpunkter på DSM sensorn och en diskussion om att karakterisa olika destruktiva ytor men även om vad som kan förbättras eller förbyggas. / Today's industries are becoming more automated, smarter and more efficient, and it requires high standards to develop more accurate and reliable sensor systems that are low-cost. The aim of this study was together with Iggesund Pappersbruk to characterize the accuracy of the Ultrasonic Double Sheet Monitor (DSM) sensor and to develop guidelines for an in-line measuring prototype. The study uses quite simple methods to characterize the resolution and investigate the minimum distance for several series-connected sensors without interfering with each other's readings. The software used during the study is PACTware and Matlab. The study shows results on a credible accuracy of the sensor and it has also been possible to characterize the detection area around the emitter for the future prototype. Finally, the study concludes with views on the DSM sensor and a discussion on how to characterize different destructive surfaces but also what can be improved or prevented.