Many-body perturbation theory and coupled-cluster theory, combined with carefully constructed basis sets, can be used to accurately compute the properties of small molecules. We applied a series of methods and basis sets aimed at reaching the ab initio limit to determine the barrier to planarity for ethylene cation. For potential energy surfaces corresponding to bond dissociation, a single Slater determinant is no longer an appropriate reference, and the single-reference hierarchy breaks down. We computed full configuration interaction benchmark data for calibrating new and existing quantum chemical methods for the accurate description of potential energy surfaces. We used the data to calibrate single-reference configuration interaction, perturbation theory, and coupled-cluster theory and multi-reference configuration interaction and perturbation theory, using various types of molecular orbitals, for breaking single and multiple bonds on ground-state and excited-state surfaces. We developed a determinant-based method which generalizes the formulation of many-body wave functions and energy expectation values. We used the method to calibrate single-reference and multi-reference configuration interaction and coupled-cluster theories, using different types of molecular orbitals, for the symmetric dissociation of water. We extended the determinant-based method to work with general configuration lists, enabling us to study, for the first time, arbitrarily truncated coupled-cluster wave functions. We used this new capability to study the importance of configurations in configuration interaction and coupled-cluster wave functions at different regions of a potential energy surface.

Privacy is defined as the freedom from unauthorized intrusion. The availability of personal information through online databases, such as government records, medical records, and voters and #146; lists, pose a threat to personal privacy. The concern over individual privacy has led to the development of legal codes for safeguarding privacy in several countries. However, the ignorance of individuals as well as loopholes in the systems, have led to information breaches even in the presence of such rules and regulations. Protection against data privacy requires modification of the data itself. The term {em data obfuscation} is used to refer to the class of algorithms that modify the values of the data items without distorting the usefulness of the data. The main goal of this thesis is the development of a data obfuscation technique that provides robust privacy protection with minimal loss in usability of the data. Although medical and financial services are two of the major areas where information privacy is a concern, privacy breaches are not restricted to these domains. One of the areas where the concern over data privacy is of growing interest is collaborative filtering. Collaborative filtering systems are being widely used in E-commerce applications to provide recommendations to users regarding products that might be of interest to them. The prediction accuracy of these systems is dependent on the size and accuracy of the data provided by users. However, the lack of sufficient guidelines governing the use and distribution of user data raises concerns over individual privacy. Users often provide the minimal information that is required for accessing these E-commerce services. The lack of rules governing the use and distribution of data disallows sharing of data among different communities for collaborative filtering. The goals of this thesis are (a) the definition of a standard for classifying DO techniques, (b) the development of a robust cluster preserving data obfuscation algorithm, and (c) the design and implementation of a privacy-preserving shared collaborative filtering framework using the data obfuscation algorithm.

Ophidiidae are major benthopelagic fishes with wide distribution and depth range. Three types of sonic structural patterns have been described in some studied ophidiid fishes, however, the significance of the different types of the sonic apparatus, and the distribution in the subfamilies remain unclear. In addition, although the sonic apparatus and the sonic mechanisms of the high frequency sounds produced by cusk-eels has been explained, the characteristics of extrinsic swimbladder sonic muscle is still unknown. In this study, I investigated three ophidiid subfamilies from Taiwan and reviewed the published data to study the morphological traits of their sonic apparatus. Inaddition, Hoplobrotula armata were related to study the proteomic characterization of the extrinsic swimbladder sonic muscle. Results indicate that the 13 ophidiid species in this study could be grouped into five sonic structural patterns, and three subfamilies could be separated accordingly. Furthermore, because the sister group of the family Ophidiidae-carapidae is soniferous, I suggest that the common ancestor of the three ophidiid subfamilies should also be soniferous. Comparisons made in regarded to environmental factors indicate that diversity of sonic apparatus in three ophidiids subfamiliesis depth dependent. The extrinsic swimbladder sonic muscles could be separated into ventral sonic muscle and intermediate sonic muscle. The histological cross-sections of the ventral sonic muscle fibers show peripheral ring myofibrillar region and central core and they are similar with the sonic muscle. Ventral muscle weights were higher in males than females, but the muscle fibers are smaller in males. Protein values of ventral sonic muscles showed high expression in fast and long duration constructional proteins, and males were higher in protein expression than females. Intermediate sonic muscles, on the other hand, were larger in females than males. The cross-sections of muscle fibers were similar to the white muscle. Expression in the fast constructional related protein in the intermediate sonic muscle was higher than ventral sonic muscles, and the metabolically related protein was lower than ventral sonic muscles. The phylogeny of ophidiiform fishes is not clear at present; the sonic-apparatus diversity in ophidiid fishes observed in this study becomes useful to reveal the relationship phylogenetic of ophidiids fishes. Regard the physiology of sound production, I suggest that the larger ventral sonic muscle in males are be provides a better constructional ability, and their smaller fibers are adaptative for energy metabolism regarded for continuous fast constraction and fatigue resistance. The longer intermediate sonic muscle in females is a better constructional ability than male. In intermediate sonic muscle were be fast constructional related protein, higher in expression than the ventral sonic muscles, the metabolic related protein was lower than the ventral sonic muscles. These results suggest that the intermediate sonic muscle has a hight constructional ability but has a disventage of being easily fatigue.

The aim of strategic group analysis is to find out if clusters of firms that have a similar strategic position exist within an industry or not. In this thesis, by using a conceptual framework that reflects the strategic context, contents and process of construction companies and utilising alternative clustering methods such as traditional cluster analysis, self-organizing maps, and fuzzy C-means technique, a strategic group analysis was conducted for the Turkish construction industry. Results demonstrate that there are three strategic groups among which significant performance differences exist. Self-organising maps provide a visual representation of group composition and help identification of hybrid structures. Fuzzy C-means technique reveals the membership degrees of a firm to each strategic group. It is recommended that real strategic group structure can only be identified by using alternative cluster analysis methods. The positive effect of differentiation strategy on achieving competitive advantage is widely acknowledged in the literature and proved to be valid for the Turkish construction industry as a result of strategic group analysis. In this study, a framework is proposed to model the differentiation process in construction. The relationships between the modes and drivers of differentiation are analyzed by structural equation modeling. The results demonstrate that construction companies can either differentiate on quality or productivity. Project management related factors extensively influence productivity differentiation whereas they influence quality differentiation indirectly. Corporate management related factors only affect quality differentiation. Moreover, resources influence productivity differentiation directly whereas they have an indirect effect on quality differentiation.

This study investigated the concentration distributions of polyclic aromatic hydrocarbons (PAHs) in the sediment cores collected from Fang-Liao submarine canyon. Chemical fingerprinting techniques and statistical analysis were applied to delineate the possible sources of the PAHs in deposited sediment core samples. It is noteworthy that all cores were not dated; therefore the deposition age could not estimate from the depth of deposition directly. The average concentrations of polyclic aromatic hydrocarbons (£U51PAHs) were found ranged from 229 to 638 (ng/g dry wt) in the sediment cores in Fang-Liao submarine canyon. In addition, the low molecular weight PAHs (2-3 ring PAHs) were found dominant in the PAH composition pattern of most samples. Total PAH concentrations were significantly correlated with total organic carbon (TOC) in all the sediment cores. Compared with sediment quality guidelines (SQGs), the PAH concentrations of all sediment samples were lower than those outlined in the criteria, that suggests no evident adverse biological effects caused by PAHs. Results also showed that total PAH concentration of surface sediments (0-2 cm) decreased with the water depth. Identification of PAHs sources suggests that all up-cores were dominated by petrogenic sources, but all down-cores except for S17 and S18 were dominated by pyrogenic sources or mixed sources. In contrast, biogenic sources were found dominant in S17 and S18 as they were characterized by higher ratio of perylene/£Upenta-PAHs(%). Compared with literature, the sediment cores of Fang-Liao submarine canyon were moderately polluted with PAHs. Analysis of diagnostic ratios and hierarchical cluster analysis (HCA) as well as principal component analysis (PCA) all indicate PAHs sources of Fang-Liao submarine canyon were mainly from petroleum and petroleum combustion sources for site of S3,S5,S7,S8 and S17; while pyrogenic or mixed sources for site of S1,S2,S9,S18 and S33.

Most retailers and scientists agree that supporting the buying decisions of individual customers or groups of customers with specific product recommendations holds great promise. Target-oriented promotional campaigns are more profitable in comparison to uniform methods of sale promotion such as discount pricing campaigns. This seems to be particulary true if the promoted products are well matched to the preferences of the customers or customer groups. But how can retailers identify customer groups and determine which products to offer them? To answer this question, this dissertation describes an algorithmic procedure which identifies customer groups with similar preferences for specific product combinations in recorded transaction data. In addition, for each customer group it recommends products which promise higher sales through cross-selling if appropriate promotion techniques are applied. To illustrate the application of this algorithmic approach, an analysis is performed on the transaction database of a supermarket. The identified customer groups are used for a simulation. The results show that appropriate promotional campaigns which implement this algorithmic approach can achieve an increase in profit from 15% to as much as 191% in contrast to uniform discounts on the purchase price of bestsellers. (author's abstract)

The present study examined the extent to which the U.S. STEM labor market is stratified in terms of quality of employment. Through a series of cluster analyses and Chi-square tests on data drawn from the 2008 Survey of Income Program Participation (SIPP), the study found evidence of segmentation in the highly-skilled STEM and non-STEM samples, which included workers with a subbaccalaureate diploma or above. The cluster analyses show a pattern consistent with Labor Market Segmentation theory: Higher wages are associated with other primary employment characteristics, including health insurance and pension benefits, as well as full-time employment. In turn, lower wages showed a tendency to cluster with secondary employment characteristics, such as part-time employment, multiple employment, and restricted access to health insurance and pension benefits. The findings also suggest that women have a higher likelihood of being employed in STEM jobs with secondary characteristics. The findings reveal a far more variegated employment landscape than is usually presented in national reports of the STEM workforce. There is evidence that, while STEM employment may be more resilient than non-STEM employment to labor restructuring trends in the new economy, the former is far from immune to secondary labor characteristics. There is a need for ongoing dialogue between STEM education (at all levels), employers, policymakers, and other stakeholders to truly understand not only the barriers to equity in employment relations, but also the mechanisms that create and maintain segmentation and how they may impact women, underrepresented minorities, and the foreign-born.

Mémoire numérisé par la Division de la gestion de documents et des archives de l'Université de Montréal

Over the last twenty years, as biological, technological, and social net- works have risen in prominence and importance, the study of complex networks has attracted researchers from a wide range of fields. As a result, there is a large and diverse body of literature concerning the properties and development of models for complex networks. However, many of the models that have been previously developed, although quite successful at capturing many observed properties of complex networks, have failed to capture the fundamental semantics of the networks. In this thesis, we propose a robust and general model for complex networks that incorporates at a fundamental level semantic information. We show that for a large range of average degrees and with a suitable choice of parameters, this model exhibits the three hallmark properties of complex networks: small diameter, clustering, and skewed degree distribution. Additionally, we provide a structural interpretation of assortativity and apply this strucutral assortativity to the random dot product graph model. We also extend the results of Chung, Lu, and Vu on the spectral gap of the expected degree sequence model to a general class of random graph models with independent edges. We apply this result to the recently developed Stochastic Kronecker graph model of Leskovec, Chakrabarti, Kleinberg, and Faloutsos.

The aim of this thesis was to investigate fruit and vegetable (F&V) consumption among Swedish adults and to use F&V-related perceptions for audience segmentation. Further, the aim was to identify motives and approaches of F&V bloggers, as well as to analyze F&V-related online discourses. F&V consumption and related perceptions were surveyed using a questionnaire among a random sample of Swedish adults (18-84y; final response rate 51%; n=1 304). F&V consumption was measured using a self-administered pre-coded 24-h recall and FFQ. The average consumption was close to the recommendations. Women in general and men born outside Sweden as well as the physically active respondents consumed the most F&V. The respondents were divided into two clusters based on their F&V-related perceptions. Positive cluster with more women and higher mean age consumed more F&V, whereas Indifferent cluster experienced more practical, habitual as well as external problems with F&V consumption. Cluster analysis is an example of audience segmentation for communicative purposes. A sample of 50 lay-people blogs with F&V-related content were analyzed with a qualitative content analysis. Two-dimensional categories – level of dietary influential purpose and source of experience – were used to identify blogger ideal types. Exhibitionist with a passive level of dietary influence and lived experiences was the most common type. Persuaders use lived experiences to actively influence their readers, whereas Authorities try to influence mediating others’ experiences. The Mediator is described as a neutral observer. Understanding the role of blogs in everyday communication is important for targeting health messages. A critical discourse analysis was applied to Persuader bloggers’ texts (n=12). Three F&V-related discourses were identified: normative consumption, authentic consumption and altruistic consumption. This analysis is useful for the last process of dietetic communication, namely tailoring the messages. The present four studies approach dietetic communication processes from a research perspective. However, a further step might be to apply these to a health promotion initiative starting from an identified diet-related problem (e.g. low F&V consumption) through audience segmentation (e.g. through cluster analysis) and targeting a relevant channel (e.g. through blogs) finally to tailor the message (e.g. findings from discourse analysis).