Automated segmentation of multiple red blood cells with digital holographic microscopy.

We present a method to automatically segment red blood cells (RBCs) visualized by digital holographic microscopy (DHM), which is based on the marker-controlled watershed algorithm. Quantitative phase images of RBCs can be obtained by using off-axis DHM along to provide some important information about each RBC, including size, shape, volume, hemoglobin content, etc. The most important process of segmentation based on marker-controlled watershed is to perform an accurate localization of internal and external markers. Here, we first obtain the binary image via Otsu algorithm. Then, we apply morphological operations to the binary image to get the internal markers. We then apply the distance transform algorithm combined with the watershed algorithm to generate external markers based on internal markers. Finally, combining the internal and external markers, we modify the original gradient image and apply the watershed algorithm. By appropriately identifying the internal and external markers, the problems of oversegmentation and undersegmentation are avoided. Furthermore, the internal and external parts of the RBCs phase image can also be segmented by using the marker-controlled watershed combined with our method, which can identify the internal and external markers appropriately. Our experimental results show that the proposed method achieves good performance in terms of segmenting RBCs and could thus be helpful when combined with an automated classification of RBCs.

Using digital RNA counting and flow cytometry to compare mRNA with protein expression in acute leukemias.

BACKGROUND: The diagnosis of malignant hematologic diseases has become increasingly complex during the last decade. It is based on the interpretation of results from different laboratory analyses, which range from microscopy to gene expression profiling. Recently, a method for the analysis of RNA phenotypes has been developed, the nCounter technology (Nanostring® Technologies), which allows for simultaneous quantification of hundreds of RNA molecules in biological samples. We evaluated this technique in a Swiss multi-center study on eighty-six samples from acute leukemia patients. METHODS: mRNA and protein profiles were established for normal peripheral blood and bone marrow samples. Signal intensities of the various tested antigens with surface expression were similar to those found in previously performed Affymetrix microarray analyses. Acute leukemia samples were analyzed for a set of twenty-two validated antigens and the Pearson Correlation Coefficient for nCounter and flow cytometry results was calculated. RESULTS: Highly significant values between 0.40 and 0.97 were found for the twenty-two antigens tested. A second correlation analysis performed on a per sample basis resulted in concordant results between flow cytometry and nCounter in 44-100% of the antigens tested (mean = 76%), depending on the number of blasts present in a sample, the homogeneity of the blast population, and the type of leukemia (AML or ALL). CONCLUSIONS: The nCounter technology allows for fast and easy depiction of a mRNA profile from hematologic samples. This technology has the potential to become a valuable tool for the diagnosis of acute leukemias, in addition to multi-color flow cytometry.

The business model ontology a proposition in a design science approach

The goal of this dissertation is to find and provide the basis for a managerial tool that allows a firm to easily express its business logic. The methodological basis for this work is design science, where the researcher builds an artifact to solve a specific problem. In this case the aim is to provide an ontology that makes it possible to explicit a firm's business model. In other words, the proposed artifact helps a firm to formally describe its value proposition, its customers, the relationship with them, the necessary intra- and inter-firm infrastructure and its profit model. Such an ontology is relevant because until now there is no model that expresses a company's global business logic from a pure business point of view. Previous models essentially take an organizational or process perspective or cover only parts of a firm's business logic. The four main pillars of the ontology, which are inspired by management science and enterprise- and processmodeling, are product, customer interface, infrastructure and finance. The ontology is validated by case studies, a panel of experts and managers. The dissertation also provides a software prototype to capture a company's business model in an information system. The last part of the thesis consists of a demonstration of the value of the ontology in business strategy and Information Systems (IS) alignment. Structure of this thesis: The dissertation is structured in nine parts: Chapter 1 presents the motivations of this research, the research methodology with which the goals shall be achieved and why this dissertation present a contribution to research. Chapter 2 investigates the origins, the term and the concept of business models. It defines what is meant by business models in this dissertation and how they are situated in the context of the firm. In addition this chapter outlines the possible uses of the business model concept. Chapter 3 gives an overview of the research done in the field of business models and enterprise ontologies. Chapter 4 introduces the major contribution of this dissertation: the business model ontology. In this part of the thesis the elements, attributes and relationships of the ontology are explained and described in detail. Chapter 5 presents a case study of the Montreux Jazz Festival which's business model was captured by applying the structure and concepts of the ontology. In fact, it gives an impression of how a business model description based on the ontology looks like. Chapter 6 shows an instantiation of the ontology into a prototype tool: the Business Model Modelling Language BM2L. This is an XML-based description language that allows to capture and describe the business model of a firm and has a large potential for further applications. Chapter 7 is about the evaluation of the business model ontology. The evaluation builds on literature review, a set of interviews with practitioners and case studies. Chapter 8 gives an outlook on possible future research and applications of the business model ontology. The main areas of interest are alignment of business and information technology IT/information systems IS and business model comparison. Finally, chapter 9 presents some conclusions.

Sildenafil as a therapeutic option for digital ischemic ulceration: case report.

We report the case of a 37-year-old woman who developed critical upper limb ischemia caused by a cervical rib. Because the malformation was initially undiagnosed, a vascular bypass was performed, and failure occurred. Following a 6-month therapy with sildenafil, revascularization of the arm was successful and amputation was avoided. A 6-year follow-up shows a rich collateral network at the compression site and normal values of digital plethysmography. Because hand surgeons often see patients with digital ulcerations and other manifestations of peripheral vascular pathology, therapy of ischemia with sildenafil could be an effective treatment option in patients not responding to classic drugs.

Review of quantitative phase-digital holographic microscopy: promising novel imaging technique to resolve neuronal network activity and identify cellular biomarkers of psychiatric disorders.

Quantitative phase microscopy (QPM) has recently emerged as a new powerful quantitative imaging technique well suited to noninvasively explore a transparent specimen with a nanometric axial sensitivity. In this review, we expose the recent developments of quantitative phase-digital holographic microscopy (QP-DHM). Quantitative phase-digital holographic microscopy (QP-DHM) represents an important and efficient quantitative phase method to explore cell structure and dynamics. In a second part, the most relevant QPM applications in the field of cell biology are summarized. A particular emphasis is placed on the original biological information, which can be derived from the quantitative phase signal. In a third part, recent applications obtained, with QP-DHM in the field of cellular neuroscience, namely the possibility to optically resolve neuronal network activity and spine dynamics, are presented. Furthermore, potential applications of QPM related to psychiatry through the identification of new and original cell biomarkers that, when combined with a range of other biomarkers, could significantly contribute to the determination of high risk developmental trajectories for psychiatric disorders, are discussed.

Corporate political activity and firm outcomes: A meta-analysis

Using meta-analytic methods on a sample of 74 studies, we explore the links between CPA and public policy outcomes, and between CPA and firm outcomes. We find that CPA has at best a weak effect and that it appears to be better at maintaining public policy than changing them.

International Expansion, Diversification and Regulated Firm Nonmarket Strategy

Previous studies have shown that regulated firms diversify for reasons that are different than for unregulated firms. We explore some of these differences by providing a theoretical model that starts by considering the firm-regulator relationship as an incomplete information issue, in which a regulated incumbent has knowledge that the regulator does not have, but the firm cannot convey hard information about this knowledge. The incumbent faces both market and nonmarket competition from a new entrant. In that context, we show that when the firm faces tough nonmarket competition domestically, going abroad can create a mechanism that makes information transmission to the regulator more credible. International expansion can thus be a way to solve domestic nonmarket issues in addition to being a catalyst for growth.

Labor market experience and well-being after firm closure. Survey evidence on displaced manufacturing workers in Switzerland

This study examines how plant closure affected individuals' careers and lives about two years after they lost their job. We analyze the displaced workers' reemployment prospects and study for reemployed workers the characteristics of their new jobs in terms of reemployment sectors, wages, and job quality. Additionally, we inquire how workers' sociability and subjective well-being were affected by job loss. Our analysis is based on our own survey conducted in Switzerland in 2011. The survey included the workforce of five manufacturing companies that had closed down two years earlier. We addressed the risk of biases typically prevailing with observational data by complementing it with register data from the public unemployment insurance. Moreover, we use a control group based on matched data from the Swiss Household Panel. We find that workers experience strongly diverging outcomes after plant closure: on the one hand, high proportions of the workers experience a smooth transition after plant closure. More than two-thirds of the workers returned to employment, more than half of them within less than six months. With respect to their social lives, we find that positive changes in relationships with their spouse, family and friends are more frequent than negative changes. On the other hand, for a small group of workers plant closure had a detrimental effect. Close to twenty percent remained unemployed. About ten percent of the workers were long-term unemployed and subsequently often were reemployed in jobs of lower quality. Unemployed workers and workers who dropped out of the labor force were particularly prone to find their subjective well-being decreasing. The most vulnerable subgroup in our study were workers over 55. This result stands in striking contrast to a large body of literature that considers labor market institutions to be primarily biased against young workers. Our findings show that older workers not only take longer to find a job but are also less likely to return to employment. Moreover, if they manage to find a job, they experience the severest cuts in wages and job quality of all cohorts. From a life-course perspective this result is remarkable since it shows that workers are not protected from hardship in their late careers. In light of the current demographic changes this finding may have important policy implications. -- Cette étude analyse l'impact des fermetures d'entreprises sur les travailleurs licenciés. Plus précisément, nous examinons les chances de réinsertion des travailleurs dans le marché du travail et - pour ceux qui l'ont fait avec succès - dans quels secteurs, pour quels salaires et avec quelle qualité d'emploi ils sont réengagés. Nous nous intéressons également aux répercussions engendrées par la perte de l'emploi sur la sociabilité et le bien-être subjectif des travailleurs concernés. Notre analyse se base sur les données d'une enquête que nous avons menée en 2011. Cette enquête cible le personnel de cinq entreprises industrielles suisses qui avaient fermé leurs portes deux ans auparavant. Pour dépasser les biais typiques liés aux données d'observation, nous utilisons en complément des données administratives issues de l'assurance chômage publique. De plus, nous utilisons un groupe de contrôle basé sur des données appariées provenant du Panel Suisse de Ménage. Nos analyses montrent des résultats fortement contrastés. D'un côté, la majeure partie des travailleurs ont vécu une transition professionnelle plutôt facile : plus des deux tiers des personnes ont retrouvé un travail et parmi elles plus de la moitié en moins de six mois. Par rapport aux relations sociales, tant avec leur partenaire, qu'avec les membres de leur famille et leurs amis, les changements expérimentés étaient plus fréquemment positifs que négatifs. De l'autre côté, cependant, pour une petite partie de travailleurs la fermeture de leur entreprise a eu des conséquences très négatives sur leur carrière et leur bien-être. Au moment de notre enquête, presque vingt pourcents des travailleurs étaient au chômage. Les personnes au chômage et celles qui avaient quitté le marché du travail ont été particulièrement affectées par une diminution de leur bien-être subjectif. Les plus vulnérables parmi les travailleurs licenciés étaient ceux qui étaient âgés de plus de 55 ans. Notre analyse montre que les travailleurs âgés ont beaucoup moins fréquemment retrouvé un travail. Pour les personnes de plus de 55 ans qui ont tout de même retrouvé un emploi, la réinsertion a durée plus longtemps, les pertes de salaire étaient plus conséquentes et la diminution de la qualité de l'emploi plus grande que pour les autres cohortes. Au vu des changements démographiques actuels, ce résultat interpellant peut avoir des implications politiques importantes.

Facing Structural Disadvantage: The Role of Ingroup Connectedness

This thesis focuses on the social-psychological factors that help coping with structural disadvantage, and specifically on the role of cohesive ingroups and the sense of connectedness and efficacy they entail in this process. It aims to complement existing group-based models of coping that are grounded in a categorization perspective to groups and consequently focus exclusively on the large-scale categories made salient in intergroup contexts of comparisons. The dissertation accomplishes this aim through a reconsideration of between-persons relational interdependence as a sufficient and independent antecedent of a sense of groupness, and the benefits that a sense of group connectedness in one's direct environment, regardless of the categorical or relational basis of groupness, might have in the everyday struggles of disadvantaged group members. The three empirical papers aim to validate this approach, outlined in the first theoretical introduction, by testing derived hypotheses. They are based on data collected with youth populations (15-30) from three institutions in French-speaking Switzerland within the context of a larger project on youth transitions. Methods of data collection are paper-pencil questionnaires and in-depth interviews with a selected sub-sample of participants. The key argument of the first paper is that members of socially disadvantaged categories face higher barriers to their life project and that a general sense of connectedness, either based on categorical identities or other proximal groups and relations, mitigates the feeling of powerlessness associated with this experience. The second paper develops and tests a model that defines individual needs satisfaction as antecedent of self-group bonds and the efficacy beliefs derived from these intragroup bonds as the mechanism underlining the role of ingroups in coping. The third paper highlights the complexities that might be associated with the construction of a sense of groupness directly from intergroup comparisons and categorization-based disadvantage, and points out a more subtle understanding of the processes underling the emergence of groupness out of the situation of structural disadvantage. Overall, the findings confirm the central role of ingroups in coping with structural disadvantage and the importance of an understanding of groupness and its role that goes beyond the dominant focus on intergroup contexts and categorization processes.