Narrative discourse in interviews to linguistically mixed couples

This article deals with self-referential storytelling in sociolinguistic interviews. It analyzes the personal stories in ten interviews to linguistically heterogeneous couples. For this purpose, it is applied the model of linguistic analysis of drama (Bruner & Weisser 1991) and it identifies and interprets discursive markers of autobiographical storytelling. Therefore it takes into consideration the elements referred to agents and to their actions, to the sequences of events, to the canon or rule, and to the narrator's perspective. At the same time, it proposes to extend our approach to the existence itself of the participants. Resumen.-"Discurso narrativo en entrevistas a parejas lingüísticamente mixtas". Este artículo trata de las narraciones autorreferenciales en entrevistas sociolingüísticas sobre concepciones y usos de las lenguas en familias lingüísticamente mixtas. Analiza los relatos que aparecen en diez entrevistas a padres y madres que forman parejas lingüísticamente heterogéneas. Aplica el modelo de análisis lingüístico del dramatismo (Bruner & Weisser 1991). Identifica e interpreta los marcadores discursivos de la narración autobiográfica. Con este propósito considera los constituyentes que se refieren a los agentes y sus acciones, a las secuencias de sucesos, al canon o norma y a la perspectiva del narrador. Y propone la ampliación del estudio a los guiones de vida de lo actores. Palabras clave: entrevista, relato, narración, pareja, política lingüística de la familia, multilingüismo, marcador discursivo.

RNA enrichment method for quantitative transcriptional analysis of pathogens in vivo applied to the fungus Candida albicans.

UNLABELLED: In vivo transcriptional analyses of microbial pathogens are often hampered by low proportions of pathogen biomass in host organs, hindering the coverage of full pathogen transcriptome. We aimed to address the transcriptome profiles of Candida albicans, the most prevalent fungal pathogen in systemically infected immunocompromised patients, during systemic infection in different hosts. We developed a strategy for high-resolution quantitative analysis of the C. albicans transcriptome directly from early and late stages of systemic infection in two different host models, mouse and the insect Galleria mellonella. Our results show that transcriptome sequencing (RNA-seq) libraries were enriched for fungal transcripts up to 1,600-fold using biotinylated bait probes to capture C. albicans sequences. This enrichment biased the read counts of only ~3% of the genes, which can be identified and removed based on a priori criteria. This allowed an unprecedented resolution of C. albicans transcriptome in vivo, with detection of over 86% of its genes. The transcriptional response of the fungus was surprisingly similar during infection of the two hosts and at the two time points, although some host- and time point-specific genes could be identified. Genes that were highly induced during infection were involved, for instance, in stress response, adhesion, iron acquisition, and biofilm formation. Of the in vivo-regulated genes, 10% are still of unknown function, and their future study will be of great interest. The fungal RNA enrichment procedure used here will help a better characterization of the C. albicans response in infected hosts and may be applied to other microbial pathogens. IMPORTANCE: Understanding the mechanisms utilized by pathogens to infect and cause disease in their hosts is crucial for rational drug development. Transcriptomic studies may help investigations of these mechanisms by determining which genes are expressed specifically during infection. This task has been difficult so far, since the proportion of microbial biomass in infected tissues is often extremely low, thus limiting the depth of sequencing and comprehensive transcriptome analysis. Here, we adapted a technology to capture and enrich C. albicans RNA, which was next used for deep RNA sequencing directly from infected tissues from two different host organisms. The high-resolution transcriptome revealed a large number of genes that were so far unknown to participate in infection, which will likely constitute a focus of study in the future. More importantly, this method may be adapted to perform transcript profiling of any other microbes during host infection or colonization.

Learning Preferences with Kernel-Based Methods

Learning of preference relations has recently received significant attention in machine learning community. It is closely related to the classification and regression analysis and can be reduced to these tasks. However, preference learning involves prediction of ordering of the data points rather than prediction of a single numerical value as in case of regression or a class label as in case of classification. Therefore, studying preference relations within a separate framework facilitates not only better theoretical understanding of the problem, but also motivates development of the efficient algorithms for the task. Preference learning has many applications in domains such as information retrieval, bioinformatics, natural language processing, etc. For example, algorithms that learn to rank are frequently used in search engines for ordering documents retrieved by the query. Preference learning methods have been also applied to collaborative filtering problems for predicting individual customer choices from the vast amount of user generated feedback. In this thesis we propose several algorithms for learning preference relations. These algorithms stem from well founded and robust class of regularized least-squares methods and have many attractive computational properties. In order to improve the performance of our methods, we introduce several non-linear kernel functions. Thus, contribution of this thesis is twofold: kernel functions for structured data that are used to take advantage of various non-vectorial data representations and the preference learning algorithms that are suitable for different tasks, namely efficient learning of preference relations, learning with large amount of training data, and semi-supervised preference learning. Proposed kernel-based algorithms and kernels are applied to the parse ranking task in natural language processing, document ranking in information retrieval, and remote homology detection in bioinformatics domain. Training of kernel-based ranking algorithms can be infeasible when the size of the training set is large. This problem is addressed by proposing a preference learning algorithm whose computation complexity scales linearly with the number of training data points. We also introduce sparse approximation of the algorithm that can be efficiently trained with large amount of data. For situations when small amount of labeled data but a large amount of unlabeled data is available, we propose a co-regularized preference learning algorithm. To conclude, the methods presented in this thesis address not only the problem of the efficient training of the algorithms but also fast regularization parameter selection, multiple output prediction, and cross-validation. Furthermore, proposed algorithms lead to notably better performance in many preference learning tasks considered.

The communicative dimension of landscape. A theoretical and applied proposal

The fusion of knowledge, the interrelationship of disciplines and, finally, the interaction of learning fields, provides new challenges for an auto denominated global society. The contemporary value of landscape, linked to the patent commodification of culture, the commercial construction of identities, the triumph of inauthenticity, of the induced representation or the economy of symbolism, open up great prospects for studying the symbolic value of landscape. The rapprochement of geographical praxis to the study of space intangibles, linked to the discovery of emotional geographies, besides the growing interest of communicational sciences on the territorial discourse, allow us to envisage a communicative study of landscape based on a fusion of geographical and communicational knowledge. The balancing of the variables: geography, landscape, emotion and communication, enables the progress towards analysing the emotionalisation of space to discern its intangible value, which emerges from the application of different communication techniques.

Oceanografia e Química: unindo conhecimentos em prol dos oceanos e da sociedade

The marine environment is certainly one of the most complex systems to study, not only because of the challenges posed by the nature of the waters, but especially due to the interactions of physical, chemical and biological processes that control the cycles of the elements. Together with analytical chemists, oceanographers have been making a great effort in the advancement of knowledge of the distribution patterns of trace elements and processes that determine their biogeochemical cycles and influences on the climate of the planet. The international academic community is now in prime position to perform the first study on a global scale for observation of trace elements and their isotopes in the marine environment (GEOTRACES) and to evaluate the effects of major global changes associated with the influences of megacities distributed around the globe. This action can only be performed due to the development of highly sensitive detection methods and the use of clean sampling and handling techniques, together with a joint international program working toward the clear objective of expanding the frontiers of the biogeochemistry of the oceans and related topics, including climate change issues and ocean acidification associated with alterations in the carbon cycle. It is expected that the oceanographic data produced this coming decade will allow a better understanding of biogeochemical cycles, and especially the assessment of changes in trace elements and contaminants in the oceans due to anthropogenic influences, as well as its effects on ecosystems and climate. Computational models are to be constructed to simulate the conditions and processes of the modern oceans and to allow predictions. The environmental changes arising from human activity since the 18th century (also called the Anthropocene) have made the Earth System even more complex. Anthropogenic activities have altered both terrestrial and marine ecosystems, and the legacy of these impacts in the oceans include: a) pollution of the marine environment by solid waste, including plastics; b) pollution by chemical and medical (including those for veterinary use) substances such as hormones, antibiotics, legal and illegal drugs, leading to possible endocrine disruption of marine organisms; and c) ocean acidification, the collateral effect of anthropogenic emissions of CO2 into the atmosphere, irreversible in the human life time scale. Unfortunately, the anthropogenic alteration of the hydrosphere due to inputs of plastics, metal, hydrocarbons, contaminants of emerging concern and even with formerly "exotic" trace elements, such us rare earth elements is likely to accelerate in the near future. These emerging contaminants would likely soon present difficulties for studies in pristine environments. All this knowledge brings with it a great responsibility: helping to envisage viable adaptation and mitigation solutions to the problems identified. The greatest challenge faced by Brazil is currently to create a framework project to develop education, science and technology applied to oceanography and related areas. This framework would strengthen the present working groups and enhance capacity building, allowing a broader Brazilian participation in joint international actions and scientific programs. Recently, the establishment of the National Institutes of Science and Technology (INCTs) for marine science, and the creation of the National Institute of Oceanographic and Hydrological Research represent an exemplary start. However, the participation of the Brazilian academic community in the latest assaults on the frontier of chemical oceanography is extremely limited, largely due to: i. absence of physical infrastructure for the preparation and processing of field samples at ultra-trace level; ii. limited access to oceanographic cruises, due to the small number of Brazilian vessels and/or absence of "clean" laboratories on board; iii. restricted international cooperation; iv. limited analytical capacity of Brazilian institutions for the analysis of trace elements in seawater; v. high cost of ultrapure reagents associated with processing a large number of samples, and vi. lack of qualified technical staff. Advances in knowledge, analytic capabilities and the increasing availability of analytical resources available today offer favorable conditions for chemical oceanography to grow. The Brazilian academic community is maturing and willing to play a role in strengthening the marine science research programs by connecting them with educational and technological initiatives in order to preserve the oceans and to promote the development of society.

Conference Proceedings. Academic Mobility Blending Perspectives - Mobilité Académique Perspectives croisées

Les 21, 22 et 23 septembre 2006, le Département d’Études Françaises de l’Université de Turku (Finlande) a organisé une conférence internationale et bilingue (anglais et français) sur le thème de la mobilité académique ; le but de cette rencontre était de rendre possible la tenue d’un forum international et multidisciplinaire, susceptible d’être le siège de divers débats entre les différents acteurs de la mobilité académique (c’estàdire des étudiants, des chercheurs, des personnels enseignants et administratifs, etc.). Ainsi, ont été mis à contribution plus de cinquante intervenants, (tous issus de domaines aussi variés que la linguistique, les sciences de l’éducation, la didactique, l’anthropologie, la sociologie, la psychologie, l’histoire, la géographie, etc.) ainsi que cinq intervenants renommés1. La plupart des thèmes traités durant la conférence couvraient les champs suivants : l’organisation de la mobilité, les obstacles rencontrés par les candidats à la mobilité, l’intégration des étudiants en situation d’échange, le développement des programmes d’études, la mobilité virtuelle, l’apprentissage et l’enseignement des langues, la prise de cosncience interculturelle, le développement des compétences, la perception du système de mobilité académique et ses impacts sur la mobilité effective. L’intérêt du travail réalisé durant la conférence réside notamment dans le fait qu’il ne concentre pas uniquement des perspectives d’étudiants internationaux et en situation d’échange (comme c’est le cas de la plupart des travaux de recherche déjà menés sur ce sujet), mais aussi ceux d’autres corps : enseignants, chercheurs, etc. La contribution suivante contient un premier corpus de dixsept articles, répartis en trois sections : 1. Impacts de la mobilité étudiante ; 2. Formation en langues ; 3. Amélioration de la mobilité académique. À l’image de la conférence, la production qui suit est bilingue : huit des articles sont rédigés en français, et les neuf autres en anglais. Certains auteurs n’ont pas pu assister à la conférence mais ont tout de même souhaité apparaître dans cet ouvrage. Dans la première section de l’ouvrage, Sandrine Billaud tâche de mettre à jour les principaux obstacles à la mobilité étudiante en France (logement, organisation des universités, démarches administratives), et propose à ce sujet quelques pistes d’amélioration. Vient ensuite un article de Dominique Ulma, laquelle se penche sur la mobilité académique régnant au sein des Instituts Universitaires de Formation des Maîtres (IUFM) ; elle s’est tout particulièrement concentrée sur l’enthousiasme des stagiaires visàvis de la mobilité, et sur les bénéfices qu’apporte la mobilité Erasmus à ce type précis d’étudiant. Ensuite, dans un troisième article, Magali Hardoin s’interroge sur les potentialités éducationnelles de la mobilité des enseignantsstagiaires, et tâche de définir l’impact de celleci sur la construction de leur profil professionnel. Après cela arrive un groupe de trois articles, tous réalisés à bases d’observations faites dans l’enseignement supérieur espagnol, et qui traitent respectivement de la portée qu’a le programme de triple formation en langues européennes appliquées pour les étudiants en mobilité (Marián MorónMartín), des conséquences qu’occasionne la présence d’étudiants étrangers dans les classes de traductions (Dimitra Tsokaktsidu), et des réalités de l’intégration sur un campus espagnol d’étudiants américains en situation d’échange (Guadalupe Soriano Barabino). Le dernier article de la section, issu d’une étude sur la situation dans les institutions japonaises, fait état de la situation des programmes de doubles diplômes existant entre des établissements japonais et étrangers, et tente de voir quel est l’impact exact de tels programmes pour les institutions japonaises (Mihoko Teshigawara, Riichi Murakami and Yoneo Yano). La seconde section est elle consacrée à la relation entre apprentissage et enseignement des langues et mobilité académique. Dans un premier article, Martine Eisenbeis s’intéresse à des modules multimédia réalisés à base du film « L’auberge espagnole », de Cédric Klapish (2001), et destinés aux étudiants en mobilité désireux d’apprendre et/ou améliorer leur français par des méthodes moins classiques. Viennent ensuite les articles de Jeanine Gerbault et Sabine Ylönen, lesquels traitent d’un projet européen visant à supporter la mobilité étudiante par la création d’un programme multimédia de formation linguistique et culturelle pour les étudiants en situation de mobilité (le nom du projet est EUROMOBIL). Ensuite, un article de Pascal Schaller s’intéresse aux différents types d’activités que les étudiants en séjour à l’étranger expérimentent dans le cadre de leur formation en langue. Enfin, la section s’achève avec une contribution de Patricia KohlerBally, consacrée à un programme bilingue coordonné par l’Université de Fribourg (Suisse). La troisième et dernière section propose quelques pistes de réflexion destinées à améliorer la mobilité académique des étudiants et des enseignants ; dans ce cadre seront donc évoquées les questions de l’égalité face à la mobilité étudiante, de la préparation nécessitée par celleci, et de la prise de conscience interculturelle. Dans un premier chapitre, Javier Mato et Bego

Usability of laser–arc hybrid welding processes in industrial applications

Metal industries producing thick sections have shown increasing interest in the laser–arc hybrid welding process because of its clear advantages compared with the individual processes of autogenous laser welding and arc welding. One major benefit of laser–arc hybrid welding is that joints with larger gaps can be welded with acceptable quality compared to autogenous laser welding. The laser-arc hybrid welding process has good potential to extend the field of applications of laser technology, and provide significant improvements in weld quality and process efficiency in manufacturing applications. The objective of this research is to present a parameter set-up for laser–arc hybrid welding processes, introduce a methodical comparison of the chosen parameters, and discuss how this technology may be adopted in industrial applications. The research describes the principles, means and applications of different types of laser–arc hybrid welding processes. Conducted experiment processing variables are presented and compared using an analytical model which can also be used for predictive simulations. The main argument in this thesis is that profound understanding of the advanced technology of laser-arc hybrid welding will help improve the productivity of welding in industrial applications. Based on a review of the current knowledge base, important areas for further research are also identified. This thesis consists of two parts. The first part introduces the research topic and discusses laser–arc hybrid welding by characterizing its mechanism and most important variables. The second part comprises four research papers elaborating on the performance of laser– arc hybrid welding in the joining of metals. The study uses quantitative and qualitative research methods which include in-depth, interpretive analyses of results from a number of research groups. In the interpretive analysis, the emphasis is placed on the relevance and usefulness of the investigative results drawn from other research publications. The results of this study contribute to research on laser–arc hybrid welding by increasing understanding of how old and new perspectives on laser–arc hybrid welding are evidenced in industry. The research methodology applied permits continued exploration of how laser–arc hybrid welding and various process factors influence the overall quality of the weld. Thestudy provides a good foundation for future research, creates improved awareness of the laser–arc hybrid welding process, and assists the metal industry to maximize welding productivity.

Towards adoption of eLearning technologies at Lappeenranta University of Technology: Understanding Teachers‟ Adoption of Blackboard Learning System

The electronic learning has become crucial in higher education with increased usage of learning management systems as a key source of integration on distance learning. The objective of this study is to understand how university teachers are influenced to use and adopt web-based learning management systems. Blackboard, as one of the systems used internationally by various universities is applied as a case. Semi-structured interviews were made with professors and lecturers who are using Blackboard at Lappeenranta University of Technology. The data collected were categorized under constructs adapted from Unified Theory of Acceptance and Use of Technology (UTAUT) and interpretation and discussion were based on reviewed literature. The findings suggest that adoption of learning management systems by LUT teachers is highly influenced by perceived usefulness, facilitating conditions and gained experience. The findings also suggest that easiness of using the system and social influence appear as medium influence of adoption for teachers at LUT.

Start-up of horizontal anaerobic reactors with sludge blanket and fixed bed for wastewater treatment from coffee processing by wet method

In this study it was evaluated the start-up procedures of anaerobic treatment system with three horizontal anaerobic reactors (R1, R2 and R3), installed in series, with volume of 1.2 L each. R1 had sludge blanket, and R2 and R3 had half supporter of bamboo and coconut fiber, respectively. As an affluent, it was synthesized wastewater from mechanical pulping of the coffee fruit by wet method, with a mean value of total chemical oxygen demand (CODtotal) of 16,003 mg L-1. The hydraulic retention time (HRT) in each reactor was 30 h. The volumetric organic loading (VOL) applied in R1 varied from 8.9 to 25.0 g of CODtotal (L d)-1. The mean removal efficiencies of CODtotal varied from 43 to 97% in the treatment system (R1+R2+R3), stabilizing above 80% after 30 days of operation. The mean content of methane in the biogas were of 70 to 76%, the mean volumetric production was 1.7 L CH4 (L reactor d)-1 in the system, and the higher conversions were around at 0.20 L CH4 (g CODremoved)-1 in R1 and R2. The mean values of pH in the effluents ranged from 6.8 to 8.3 and the mean values of total volatile acids remained below 200 mg L-1 in the effluent of R3. The concentrations of total phenols of the affluent ranged from 45 to 278 mg L-1, and the mean removal efficiency was of 52%. The start-up of the anaerobic treatment system occurred after 30 days of operation as a result of inoculation with anaerobic sludge with active microbiota.

Culture in business interaction: an individual perspective : empirical studies in Finnish-Russian business relationships

The main objective of this doctoral dissertation is to reach a holistic and indepth understanding of the intercultural interaction within dyadic business relationships through the perspective of individual managers. The empirical setting is dyadic business relationships between Russian and Finnish firms in construction and engineering industries. The motivation for the study mainly arose from: 1) the lack of business marketing literature considering cultural and individual perspectives; 2) the need to find ways to study intercultural issues in business relationships, other than through the application of models derived from the work of Hofstede (1980). The study consists of two parts, an introductory essay containing the research objectives, theoretical foundations, methodological choices, limitations and contributions, and original research articles. The four articles each address a sub-objective: 1) to develop an understanding of intercultural business relationships development, cultural adaptation, and its role in the development of trust (Article 1); 2) to develop an appropriate methodological framework for studying business interaction from a cultural and individual perspective (Article 2); 3) to develop an understanding of the role of culture in individual manager’s sensemaking of interaction events in business relationships (Article 3); and 4) to develop an appropriate theoretical framework for studying interactive intercultural business relationships in international industrial markets (Article 4). The ontological and epistemological foundations are built on the interpretivist/ social constructivist view of reality. Interaction, in this study, is seen as being conducted between individuals, who are the key representative actors of their firms. In turn, culture is regarded both as an independent context existing prior to the individuals’ participation in it, and as knowledge incorporated by the individuals, who use it in sensemaking and interaction across cultures. The methods applied in the articles are: an interpretive qualitative study (Article 1), a literature review and conceptual analysis (Article 2), a structural analysis of the narratives and a metaphor analysis (Article 3), and a literature review and conceptual analysis (Article 4). The main contributions are the following. First, it contributes to business marketing literature by developing the theoretical, conceptual, and methodological underpinning of IMP theories in relation to culture. Second, the thesis contributes to the growing literature on managerial sensemaking in industrial markets by looking at it from a cultural perspective, as well as emphasizing the importance of figurative language in cultural sensemaking.

Local Features in Image and Video Processing - Object Class Matching and Video Shot Detection

The usage of digital content, such as video clips and images, has increased dramatically during the last decade. Local image features have been applied increasingly in various image and video retrieval applications. This thesis evaluates local features and applies them to image and video processing tasks. The results of the study show that 1) the performance of different local feature detector and descriptor methods vary significantly in object class matching, 2) local features can be applied in image alignment with superior results against the state-of-the-art, 3) the local feature based shot boundary detection method produces promising results, and 4) the local feature based hierarchical video summarization method shows promising new new research direction. In conclusion, this thesis presents the local features as a powerful tool in many applications and the imminent future work should concentrate on improving the quality of the local features.

Strategic narratives and competitive advantage : do winners speak differently?

Concepts, models, or theories that end up shaping practices, whether those practices fall in the domains of science, technology, social movements, or business, always emerge through a change in language use. First, communities begin to talk differently, incorporating new vocabularies (Rorty, 1989), in their narratives. Whether the community’s new narratives respond to perceived anomalies or failures of the existing ones (Kuhn, 1962) or actually reveal inadequacies by addressing previously unrecognized practices (Fleck, 1979; Rorty, 1989) is less important here than the very phenomena that they introduce differences. Then, if the new language proves to be useful, for example, because it helps the community solve a problem or create a possibility that existing narratives do not, the new narrative will begin circulating more broadly throughout the community. If other communities learn of the usefulness of these new narratives, and find them sufficiently persuasive, they may be compelled to test, modify, and eventually adopt them. Of primary importance is the idea that a new concept or narrative perceived as useful is more likely to be adopted. We can expect that business concepts emerge through a similar pattern. Concepts such as “competitive advantage,” “disruption,” and the “resource based view,” now broadly known and accepted, were each at some point first introduced by a community. This community experimented with the concepts they introduced and found them useful. The concept “competitive advantage,” for example, helped researchers better explain why some firm’s outperformed others and helped practitioners more clearly understand what choices to make to improve the profit and growth prospects of their firms. The benefits of using these terms compelled other communities to consider, apply, and eventually adopt them as well. Were these terms not viewed as useful, they would not likely have been adopted. This thesis attempts to observe and anticipate new business concepts that may be emerging. It does so by seeking to observe a community of business practitioners that are using different language and appear to be more successful than a similar community of practitioners that are have not yet begun using this different language as extensively. It argues that if the community that is adopting new types of narratives is perceived as being more successful, their success will attract the attention of other communities who may then seek to adopt the same narratives. Specifically, this thesis compares the narratives used by a set of firms that are considered to be performing well (called Winners) with those of set of less-successful peers (called Losers). It does so with the aim of addressing two questions: - How do the strategic narratives that circulate within “winning” companies and their leaders differ from those circulating within “losing” companies and their leaders? - Given the answer to the first question: what new business strategy concepts are likely to emerge in the business community at large? I expected to observe “winning” companies shifting their language, abandoning an older set of narratives for newer ones. However the analysis indicates a more interesting dynamic: “winning” companies adopt the same core narratives as their “losing” peers with equal frequency yet they go beyond these. Both “winners” and “losers” seem to pursue economies of scale, customer captivity, best practices, and securing preferential access to resources with similar vigor. But “winners” seem to go further, applying three additional narratives in their pursuits of competitive advantage. They speak of coordinating what is uncoordinated, adopting what this thesis calls “exchanging the role of guest for that of host,” and “forcing a two-front battle” more frequently than their “loser” peers. Since these “winning” companies are likely perceived as being more successful, the unique narratives they use are more likely to be emulated and adopted. Understanding in what ways winners speak differently, therefore, gives us a glimpse into the possible future evolution of business concepts.

Post-processing and analysis of tracked hand trajectories

In this thesis, the suitability of different trackers for finger tracking in high-speed videos was studied. Tracked finger trajectories from the videos were post-processed and analysed using various filtering and smoothing methods. Position derivatives of the trajectories, speed and acceleration were extracted for the purposes of hand motion analysis. Overall, two methods, Kernelized Correlation Filters and Spatio-Temporal Context Learning tracking, performed better than the others in the tests. Both achieved high accuracy for the selected high-speed videos and also allowed real-time processing, being able to process over 500 frames per second. In addition, the results showed that different filtering methods can be applied to produce more appropriate velocity and acceleration curves calculated from the tracking data. Local Regression filtering and Unscented Kalman Smoother gave the best results in the tests. Furthermore, the results show that tracking and filtering methods are suitable for high-speed hand-tracking and trajectory-data post-processing.

Understanding organizational wrongdoing

The topic is white collar crime in its organizational form. The research question is why otherwise law-abiding people engage in wrongful behavior within legitimate organizations and what kinds of dynamics are involved in wrongful organizational processes. This is a theoretical inquiry the method of which is to bring together relevant literature on organizational behavior regardless of the branch of science. In addition to criminological and sociolegal writings, I mostly refer to works of social psychology and organization theory. At first, I discuss the terminological multiplicity related to organizational white collar crime. In conclusion from a critical analysis of the dominant terms and definitions, I argue for the concept of organizational wrongdoing. The approach of organizational wrongdoing captures unethical, illegal and criminal organizational behavior. Thus, it is not retricted by legislative categories but ethical reasoning. The approach aims at grasping a behavioral entity, and state law crimes do not constitute an ontology of behavior. In order to understand organizational wrongdoing, the dominant criminological theories applied to white collar crime are discussed. To a surprisingly large extent, they lack a sophisticated organizational perspective and do not offer viable frameworks for building a plausible theory of organizational white collar crime. In order to fill the gap, I incorporate the social psychological dynamics of organizational behavior and present several findings on collective behavior that criminological theorization must come to terms with. ------ This publication has been first presented and accepted as a master's thesis at the Faculty of Law, University of Turku. It has been published on the series: Criminal Law and Judicial Procedure, Series B: 15, in print format. The publication was digitized in 2015 and published online.

Developing purchase invoice processing through workflow automation

The aim of this master’s thesis is to research and analyze how purchase invoice processing can be automated and streamlined in a system renewal project. The impacts of workflow automation on invoice handling are studied by means of time, cost and quality aspects. Purchase invoice processing has a lot of potential for automation because of its labor-intensive and repetitive nature. As a case study combining both qualitative and quantitative methods, the topic is approached from a business process management point of view. The current process was first explored through interviews and workshop meetings to create a holistic understanding of the process at hand. Requirements for process streamlining were then researched focusing on specified vendors and their purchase invoices, which helped to identify the critical factors for successful invoice automation. To optimize the flow from invoice receipt to approval for payment, the invoice receiving process was outsourced and the automation functionalities of the new system utilized in invoice handling. The quality of invoice data and the need of simple structured purchase order (PO) invoices were emphasized in the system testing phase. Hence, consolidated invoices containing references to multiple PO or blanket release numbers should be simplified in order to use automated PO matching. With non-PO invoices, it is important to receive the buyer reference details in an applicable invoice data field so that automation rules could be created to route invoices to a review and approval flow. In the beginning of the project, invoice processing was seen ineffective both time- and cost-wise, and it required a lot of manual labor to carry out all tasks. In accordance with testing results, it was estimated that over half of the invoices could be automated within a year after system implementation. Processing times could be reduced remarkably, which would then result savings up to 40 % in annual processing costs. Due to several advancements in the purchase invoice process, business process quality could also be perceived as improved.