HS-SPME-GC-MS ANALYSIS OF VOLATILE AND SEMI-VOLATILE COMPOUNDS FROM DRIED LEAVES OF Mikania glomerata Sprengel

This paper reports on the identification of volatile and semi-volatile compounds and a comparison of the chromatographic profiles obtained by Headspace Solid-Phase Microextraction/Gas Chromatography with Mass Spectrometry detection (HS-SPME-GC-MS) of dried leaves of Mikania glomerata Sprengel (Asteraceae), also known as 'guaco.' Three different types of commercial SPME fibers were tested: polydimethylsiloxane (PDMS), polydimethylsiloxane/divinylbenzene (PDMS/DVB) and polyacrylate (PA). Fifty-nine compounds were fully identified by HS-SPME-HRGC-MS, including coumarin, a marker for the quality control of guaco-based phytomedicines; most of the other identified compounds were mono- and sesquiterpenes. PA fibers performed better in the analysis of coumarin, while PDMS-DVB proved to be the best choice for a general and non-selective analysis of volatile and semi-volatile guaco-based compounds. The SPME method is faster and requires a smaller sample than conventional hydrodistillation of essential oils, providing a general overview of the volatile and semi-volatile compounds of M. glomerata.

Teaching mathematics and programming : new approaches with empirical evaluation

Programming and mathematics are core areas of computer science (CS) and consequently also important parts of CS education. Introductory instruction in these two topics is, however, not without problems. Studies show that CS students find programming difficult to learn and that teaching mathematical topics to CS novices is challenging. One reason for the latter is the disconnection between mathematics and programming found in many CS curricula, which results in students not seeing the relevance of the subject for their studies. In addition, reports indicate that students' mathematical capability and maturity levels are dropping. The challenges faced when teaching mathematics and programming at CS departments can also be traced back to gaps in students' prior education. In Finland the high school curriculum does not include CS as a subject; instead, focus is on learning to use the computer and its applications as tools. Similarly, many of the mathematics courses emphasize application of formulas, while logic, formalisms and proofs, which are important in CS, are avoided. Consequently, high school graduates are not well prepared for studies in CS. Motivated by these challenges, the goal of the present work is to describe new approaches to teaching mathematics and programming aimed at addressing these issues: Structured derivations is a logic-based approach to teaching mathematics, where formalisms and justifications are made explicit. The aim is to help students become better at communicating their reasoning using mathematical language and logical notation at the same time as they become more confident with formalisms. The Python programming language was originally designed with education in mind, and has a simple syntax compared to many other popular languages. The aim of using it in instruction is to address algorithms and their implementation in a way that allows focus to be put on learning algorithmic thinking and programming instead of on learning a complex syntax. Invariant based programming is a diagrammatic approach to developing programs that are correct by construction. The approach is based on elementary propositional and predicate logic, and makes explicit the underlying mathematical foundations of programming. The aim is also to show how mathematics in general, and logic in particular, can be used to create better programs.

Formation of polyelectrolyte multilayers and polyelectrolyte complexes in dual polymer treatment of papermaking pulp

The goal of this study was to find a new approach to modify chemically the properties of paper by improving fiber quality. This Master’s thesis includes the multiple polymer treatment in general and themeasurement methods with which the formation of multilayers and complexes can be noticed. The treatment by an oppositely charged dual polymer system is a good approach to increase paper strength. In this work, starch, a cationic polymer, and carboxymethyl cellulose (CMC), an anionic polymer, were used step-by-step to improve paper strength. The adsorption of cationic starch and CMC on cellulose fibers were analyzed via polyelectrolyte titration. The results showed that paper strength was enhanced slightly with a layer-by-layer assembly of the polymers. However, if the washing stage, which was required for layer-by-layer assembly, was eliminated, the starch/CMC complex was deposited on fibers more efficiently, and the paper strength was improved more significantly.

EDTA- and DTPA-functionalized silica gel and chitosan adsorbents for the removal of heavy metals from aqueous solutions

Adsorbents functionalized with chelating agents are effective in removal of heavy metals from aqueous solutions. Important properties of such adsorbents are high binding affinity as well as regenerability. In this study, aminopolycarboxylic acid, EDTA and DTPA, were immobilized on the surface of silica gel, chitosan, and their hybrid materials to achieve chelating adsorbents for heavy metals such as Co(II), Ni(II), Cd(II), and Pb(II). New knowledge about the adsorption properties of EDTA- and DTPA-functionalizedadsorbents was obtained. Experimental work showed the effectiveness, regenerability, and stability of the studied adsorbents. Both advantages and disadvantages of the adsorbents were evaluated. For example, the EDTA-functionalized chitosan-silica hybrid materials combined the benefits of the silica gel and chitosan while at the same time diminishing their observed drawbacks. Modeling of adsorption kinetics and isotherms is an important step in design process. Therefore, several kinetic and isotherm models were introduced and applied in this work. Important aspects such as effect of error function, data range, initial guess values, and linearization were discussed and investigated. The selection of the most suitable model was conducted by comparing the experimental and simulated data as well as evaluating the correspondence between the theory behind the model and properties of the adsorbent. In addition, modeling of two-component data was conducted using various extended isotherms. Modeling results for both one- and twocomponent systems supported each other. Finally, application testing of EDTA- and DTPA-functionalized adsorbents was conducted. The most important result was the applicability of DTPA-functionalized silica gel and chitosan in the capturing of Co(II) from its aqueous EDTA-chelate. Moreover, these adsorbents were efficient in various solution matrices. In addition, separation of Ni(II) from Co(II) and Ni(II) and Pb(II) from Co(II) and Cd(II) was observed in two- and multimetal systems. Lastly, prior to their analysis, EDTA- and DTPA-functionalized silica gels were successfully used to preconcentrate metal ions from both pure and salty waters

The purpose of consumer co-operation: implications for the management and governance of co-operatives

Extant research on consumer co-operation has acknowledged that the corporate purpose of consumer co-operatives deviates significantly from the purpose of investor-owned firms (IOFs – the dominant form in market economies and in theory development in the field of business economics) and also suggested that the management of consumer co-operatives differs from the management of IOFs. Despite this, there is a scarcity of research focusing on the management of consumer co-operatives in general and the ways this different purpose manifests in their management in particular. In other words, research on consumer cooperatives has only started to discover the importance of identifying the premises of these organizations and generating management and organization theories that take them into account. The overall objective of this study is to map out some of the implications that the purpose of consumer co-operation has for the management and governance of consumer co-operatives. To put it more precisely, by combining interview data gathered from Finnish consumer cooperatives (S Group, OP Bank Group and POP Bank) and extant literature, this study aims to generate or elaborate on definitions and outlines of the features that co-operative purpose poses for the strategic management, governance and managerial competence needed for consumer co-operatives. The study consists of two parts. The first part introduces the research topic, methods and publications, as well as discusses the overall outcomes. The second part consists of four publications that address the research questions from different viewpoints. The analyses of this study indicate that due to the purpose of consumer co-operation, the roles of locality and regionality become emphasized in their management. While locality and regionality are potential sources of competitive advantage for consumer co-operatives, geographic boundness sets significant boundary conditions for the strategic management of these organizations. Further, the purpose of consumer co-operation may pose several challenges to governance and set specific competence demands for the managers of these organizations. Associating the observations from various streams of research on management and governance with the purpose of consumer co-operation and examining these issues further, the thesis contributes to elaboration of theory in the field. While the thesis is by no means comprehensive (but instead reflects a co-operative research project in its early stages), it does shed light on some key ideas of management and governance and offers leads to theory and, thereby, will prove useful to elaborators, disseminators and appliers of knowledge on co-operation.

Structural and operational optimisation : applications in energy systems

In this work mathematical programming models for structural and operational optimisation of energy systems are developed and applied to a selection of energy technology problems. The studied cases are taken from industrial processes and from large regional energy distribution systems. The models are based on Mixed Integer Linear Programming (MILP), Mixed Integer Non-Linear Programming (MINLP) and on a hybrid approach of a combination of Non-Linear Programming (NLP) and Genetic Algorithms (GA). The optimisation of the structure and operation of energy systems in urban regions is treated in the work. Firstly, distributed energy systems (DES) with different energy conversion units and annual variations of consumer heating and electricity demands are considered. Secondly, district cooling systems (DCS) with cooling demands for a large number of consumers are studied, with respect to a long term planning perspective regarding to given predictions of the consumer cooling demand development in a region. The work comprises also the development of applications for heat recovery systems (HRS), where paper machine dryer section HRS is taken as an illustrative example. The heat sources in these systems are moist air streams. Models are developed for different types of equipment price functions. The approach is based on partitioning of the overall temperature range of the system into a number of temperature intervals in order to take into account the strong nonlinearities due to condensation in the heat recovery exchangers. The influence of parameter variations on the solutions of heat recovery systems is analysed firstly by varying cost factors and secondly by varying process parameters. Point-optimal solutions by a fixed parameter approach are compared to robust solutions with given parameter variation ranges. In the work enhanced utilisation of excess heat in heat recovery systems with impingement drying, electricity generation with low grade excess heat and the use of absorption heat transformers to elevate a stream temperature above the excess heat temperature are also studied.

How (not) to interview children : interviews with young children in sexual abuse investigations in Finland

The present thesis had two main objectives: The first was to assess how child sexual abuse (CSA) interviews in Finland are conducted through analysing the interviewing techniques applied and the language used by the interviewers, as well as to suggest ways to improve interviews if they were found to have deficiencies. The second main aim was to contribute to the growing research corpus concerning CSA interviews, in particular, by addressing how interviewers follow up information provided by the child, by analysing whether child health care professionals would use childadapted language, and by studying the kind of modifications in the verbal behaviour of interviewers and children that were associated with a) repeated interviews, b) a support person’s presence at the interview, and c) the use of anatomically detailed dolls. Two complementary samples of CSA interviews were analysed. The first one was composed of child interviews with 3-12-year-old children (N = 27) that had been considered problematic by lawyers or other involved professionals (Studies I and IV). The second sample consisted of unselected interviews (N = 43) with children aged 3 to 8 years conducted in a number of hospitals in different parts of the country (Studies II and III). Study I: The verbal interaction between interviewer and child was analysed in a sample of interviews that had been considered to be problematic by involved professionals. Results showed that interviewers used inappropriate questioning techniques, relying on option-posing, specific suggestive and unspecific suggestive questions to a significant extent, these comprising around 50% of all interviewer utterances. The proportion of invitations, which the research community recommends interviewers to rely on, was strikingly low. Invitations and directive utterances were associated with an increase in informative responses by the child in terms of response type, number of new details reported, as well as length of response. The opposite was true for option-posing and suggestive utterances. Longer questions by the interviewer (in number of words) often rendered no reply from the child, whereas shorter questions were followed by descriptive answers. Even after the child had provided an informative answer, interviewers failed to follow up the information in an adequate way and instead continued to rely on focused and leading questions. Study II: Due to the possible bias of the sample analysed in Study I, the most important analyses were rerun with the unselected sample and reported separately. Results were quite similar between the two studies, indicating that the problems observed in Study I, with interviewers relying on option-posing and suggestive questions to a significant extent, are likely to be general and not specific for those interviews. Even if suggestive questions were slightly less and invitations slightly more common in this sample than in the previous study, almost half of the interviewer questions were still optionposing or suggestive, and also in this sample, interviewers failed to follow up information by the child in a facilitating manner. Differentiating between judicial and contextual details showed that while facilitators, invitations, and directive utterances elicited more contextual than judicial details, the opposite was true for specific suggestive utterances. These results might be explained by the reluctance of children to describe sexual details related to the abuse events. Alternatively, they may also be due to children describing incorrect sexual details as a result of suggestive interviewing techniques. Study III: This study examined features of the language used by the interviewers. Interviewer utterances included multiple questions, long statements, complicated grammar and concepts, as well as unclear references to persons and situations. More than a fifth of the interviewer utterances were coded as belonging to at least one of these categories. The results suggest that even professionals who are experienced in interacting with children may have difficulties in using a child-sensitive language, adding to the pool of studies showing similar problems to occur in legal hearings with children conducted by lawyers. As children rarely comment on, or even recognise, their lack of comprehension, the use of a language that is too complex can have detrimental consequences for the outcomes of investigative interviews. Interviewers used different approaches to introduce the topic of abuse. While 15% of the children spontaneously addressed the topic of abuse, probably indicating that they felt confident with the interviewer and the situation, in almost 50% of the cases, the interviewer introduced the topic of abuse in a way that can be considered leading. Interviews were characterised by a lack of structure, apparent in frequent rapid switches of topic by the interviewer. This manner was associated with a decrease in the number of new details provided by the children. Study IV: This study analysed possible changes in the interview dynamics associated with repeated interviewing, the presence of a support person (related to the child), and the use of anatomically detailed (AD) dolls. Repeated interviewing, in combination with suggestive questions, has previously been found to seriously contaminate children’s accounts. In the present material, interviewers used significantly more suggestive utterances in the repeated condition, thus endangering the reliability of the children’s reports. Few studies have investigated the effects of a support person’s presence at the interview. The results of the present study showed that interviewers talked more and children provided less information when a support person was present. Supporting some earlier findings regarding the use of AD dolls, the present results showed that using AD dolls was associated with longer interviewer utterances and shorter, less responsive, and less detailed child responses. Interviewers used up to five times more unspecific suggestive utterances when dolls were used, for instance through repeatedly asking the child to show “what really happened” with the dolls. Conclusion: The results indicate that CSA interviews in Finland are not conducted in a manner that follows best practice as defined by the research community and as stated in a number of guidelines. When comparing these questioning strategies with the recommendations, which have been predominant in the field for more than ten years now, it can be concluded that the interviews analysed were conducted in a manner that undermines the possibility to elicit an uncontaminated and accurate narrative from the children. A particularly worrying finding was the fact that interviewers did not follow up relevant information by the children in an adequate way. A number of clinical implications can be drawn from the results, particularly concerning the need for improvement in the quality of CSA interviews. There is convincing research regarding how to improve CSA interviews, notably through training forensic child interviewers to use a structured interviewing protocol, and providing them with continuous supervision and feedback. Allocating appropriate resources to improve the quality of forensic child interviews is a matter of protecting the rights of all persons involved in CSA investigations, in particular those of the children.

Memory Effects in the Dynamics of Open Quantum Systems

In this Thesis various aspects of memory effects in the dynamics of open quantum systems are studied. We develop a general theoretical framework for open quantum systems beyond the Markov approximation which allows us to investigate different sources of memory effects and to develop methods for harnessing them in order to realise controllable open quantum systems. In the first part of the Thesis a characterisation of non-Markovian dynamics in terms of information flow is developed and applied to study different sources of memory effects. Namely, we study nonlocal memory effects which arise due to initial correlations between two local environments and further the memory effects induced by initial correlations between the open system and the environment. The last part focuses on describing two all-optical experiment in which through selective preparation of the initial environment states the information flow between the system and the environment can be controlled. In the first experiment the system is driven from the Markovian to the non- Markovian regime and the degree of non-Markovianity is determined. In the second experiment we observe the nonlocal nature of the memory effects and provide a novel method to experimentally quantify frequency correlations in photonic environments via polarisation measurements.

Model-View-Controller architectural pattern and its evolution in graphical user interface frameworks

Model-View-Controller (MVC) is an architectural pattern used in software development for graphical user interfaces. It was one of the first proposed solutions in the late 1970s to the Smart UI anti-pattern, which refers to the act of writing all domain logic into a user interface. The original MVC pattern has since evolved in multiple directions, with various names and may confuse many. The goal of this thesis is to present the origin of the MVC pattern and how it has changed over time. Software architecture in general and the MVC’s evolution within web applications are not the primary focus. Fundamen- tal designs are abstracted, and then used to examine the more recent versions. Prob- lems with the subject and its terminology are also presented.

Application of a non isotropic turbulence model to stable atmospheric flows and dispersion over 3D topography

A non isotropic turbulence model is extended and applied to three dimensional stably stratified flows and dispersion calculations. The model is derived from the algebraic stress model (including wall proximity effects), but it retains the simplicity of the "eddy viscosity" concept of first order models. The "modified k-epsilon" is implemented in a three dimensional numerical code. Once the flow is resolved, the predicted velocity and turbulence fields are interpolated into a second grid and used to solve the concentration equation. To evaluate the model, various steady state numerical solutions are compared with small scale dispersion experiments which were conducted at the wind tunnel of Mitsubishi Heavy Industries, in Japan. Stably stratified flows and plume dispersion over three distinct idealized complex topographies (flat and hilly terrain) are studied. Vertical profiles of velocity and pollutant concentration are shown and discussed. Also, comparisons are made against the results obtained with the standard k-epsilon model.

An Hp-Adaptive Hierarchical Formulation for the Boundary Element Method Applied to Elasticity in Two Dimensions

This paper presents an HP-Adaptive Procedure with Hierarchical formulation for the Boundary Element Method in 2-D Elasticity problems. Firstly, H, P and HP formulations are defined. Then, the hierarchical concept, which allows a substantial reduction in the dimension of equation system, is introduced. The error estimator used is based on the residual computation over each node inside an element. Finally, the HP strategy is defined and applied to two examples.

Substitution-Newton-Raphson method applied to the modeling of a vapour compression refrigeration system using different representations of the thermodynamic properties of R-134a

This paper gives a detailed presentation of the Substitution-Newton-Raphson method, suitable for large sparse non-linear systems. It combines the Successive Substitution method and the Newton-Raphson method in such way as to take the best advantages of both, keeping the convergence features of the Newton-Raphson with the low requirements of memory and time of the Successive Substitution schemes. The large system is solved employing few effective variables, using the greatest possible part of the model equations in substitution fashion to fix the remaining variables, but maintaining the convergence characteristics of the Newton-Raphson. The methodology is exemplified through a simple algebraic system, and applied to a simple thermodynamic, mechanical and heat transfer modeling of a single-stage vapor compression refrigeration system. Three distinct approaches for reproducing the thermodynamic properties of the refrigerant R-134a are compared: the linear interpolation from tabulated data, the use of polynomial fitted curves and the use of functions derived from the Helmholtz free energy.

Fuzzy ontology for knowledge mobilisation and decision support

A growing concern for organisations is how they should deal with increasing amounts of collected data. With fierce competition and smaller margins, organisations that are able to fully realize the potential in the data they collect can gain an advantage over the competitors. It is almost impossible to avoid imprecision when processing large amounts of data. Still, many of the available information systems are not capable of handling imprecise data, even though it can offer various advantages. Expert knowledge stored as linguistic expressions is a good example of imprecise but valuable data, i.e. data that is hard to exactly pinpoint to a definitive value. There is an obvious concern among organisations on how this problem should be handled; finding new methods for processing and storing imprecise data are therefore a key issue. Additionally, it is equally important to show that tacit knowledge and imprecise data can be used with success, which encourages organisations to analyse their imprecise data. The objective of the research conducted was therefore to explore how fuzzy ontologies could facilitate the exploitation and mobilisation of tacit knowledge and imprecise data in organisational and operational decision making processes. The thesis introduces both practical and theoretical advances on how fuzzy logic, ontologies (fuzzy ontologies) and OWA operators can be utilized for different decision making problems. It is demonstrated how a fuzzy ontology can model tacit knowledge which was collected from wine connoisseurs. The approach can be generalised and applied also to other practically important problems, such as intrusion detection. Additionally, a fuzzy ontology is applied in a novel consensus model for group decision making. By combining the fuzzy ontology with Semantic Web affiliated techniques novel applications have been designed. These applications show how the mobilisation of knowledge can successfully utilize also imprecise data. An important part of decision making processes is undeniably aggregation, which in combination with a fuzzy ontology provides a promising basis for demonstrating the benefits that one can retrieve from handling imprecise data. The new aggregation operators defined in the thesis often provide new possibilities to handle imprecision and expert opinions. This is demonstrated through both theoretical examples and practical implementations. This thesis shows the benefits of utilizing all the available data one possess, including imprecise data. By combining the concept of fuzzy ontology with the Semantic Web movement, it aspires to show the corporate world and industry the benefits of embracing fuzzy ontologies and imprecision.

Robust current control of a phase shifted full-bridge buck converter

In this thesis, the main point of interest is the robust control of a DC/DC converter. The use of reactive components in the power conversion gives rise to dynamical effects in DC/DC converters and the dynamical effects of the converter mandates the use of active control. Active control uses measurements from the converter to correct errors present in the converter’s output. The controller needs to be able to perform in the presence of varying component values and different kinds of disturbances in loading and noises in measurements. Such a feature in control design is referred as robustness. This thesis also contains survey of general properties of DC/DC converters and their effects on control design. In this thesis, a linear robust control design method is studied. A robust controller is then designed and applied to the current control of a phase shifted full bridge converter. The experimental results are shown to match simulations.

Analysis and modelling of chemical looping combustion process with and without oxygen uncoupling

Effective control and limiting of carbon dioxide (CO₂) emissions in energy production are major challenges of science today. Current research activities include the development of new low-cost carbon capture technologies, and among the proposed concepts, chemical combustion (CLC) and chemical looping with oxygen uncoupling (CLOU) have attracted significant attention allowing intrinsic separation of pure CO₂ from a hydrocarbon fuel combustion process with a comparatively small energy penalty. Both CLC and CLOU utilize the well-established fluidized bed technology, but several technical challenges need to be overcome in order to commercialize the processes. Therefore, development of proper modelling and simulation tools is essential for the design, optimization, and scale-up of chemical looping-based combustion systems. The main objective of this work was to analyze the technological feasibility of CLC and CLOU processes at different scales using a computational modelling approach. A onedimensional fluidized bed model frame was constructed and applied for simulations of CLC and CLOU systems consisting of interconnected fluidized bed reactors. The model is based on the conservation of mass and energy, and semi-empirical correlations are used to describe the hydrodynamics, chemical reactions, and transfer of heat in the reactors. Another objective was to evaluate the viability of chemical looping-based energy production, and a flow sheet model representing a CLC-integrated steam power plant was developed. The 1D model frame was succesfully validated based on the operation of a 150 kWth laboratory-sized CLC unit fed by methane. By following certain scale-up criteria, a conceptual design for a CLC reactor system at a pre-commercial scale of 100 MWth was created, after which the validated model was used to predict the performance of the system. As a result, further understanding of the parameters affecting the operation of a large-scale CLC process was acquired, which will be useful for the practical design work in the future. The integration of the reactor system and steam turbine cycle for power production was studied resulting in a suggested plant layout including a CLC boiler system, a simple heat recovery setup, and an integrated steam cycle with a three pressure level steam turbine. Possible operational regions of a CLOU reactor system fed by bituminous coal were determined via mass, energy, and exergy balance analysis. Finally, the 1D fluidized bed model was modified suitable for CLOU, and the performance of a hypothetical 500 MWth CLOU fuel reactor was evaluated by extensive case simulations.