Semantic Mining based on graph theory and ontologies. Case Study: Cell Signaling Pathways

In this paper we use concepts from graph theory and cellular biology represented as ontologies, to carry out semantic mining tasks on signaling pathway networks. Specifically, the paper describes the semantic enrichment of signaling pathway networks. A cell signaling network describes the basic cellular activities and their interactions. The main contribution of this paper is in the signaling pathway research area, it proposes a new technique to analyze and understand how changes in these networks may affect the transmission and flow of information, which produce diseases such as cancer and diabetes. Our approach is based on three concepts from graph theory (modularity, clustering and centrality) frequently used on social networks analysis. Our approach consists into two phases: the first uses the graph theory concepts to determine the cellular groups in the network, which we will call them communities; the second uses ontologies for the semantic enrichment of the cellular communities. The measures used from the graph theory allow us to determine the set of cells that are close (for example, in a disease), and the main cells in each community. We analyze our approach in two cases: TGF-β and the Alzheimer Disease.

'Malicious Code Execution Detection and Response Immune System inspired by the Danger Theory'

The analysis of system calls is one method employed by anomaly detection systems to recognise malicious code execution. Similarities can be drawn between this process and the behaviour of certain cells belonging to the human immune system, and can be applied to construct an artificial immune system. A recently developed hypothesis in immunology, the Danger Theory, states that our immune system responds to the presence of intruders through sensing molecules belonging to those invaders, plus signals generated by the host indicating danger and damage. We propose the incorporation of this concept into a responsive intrusion detection system, where behavioural information of the system and running processes is combined with information regarding individual system calls.

Weathering crises on social media – Theory and practices from social media active organizations operating in Finland

Thesis compiles findings from previous research to produce guidelines on addressing crises on social media. These guidelines extracted from previous research are compared qualitatively with empirical evidence from 12 organizations by examining whether organizations apply practices recommended in previous research. Much of guidelines gain support from practitioners with few exceptions. Findings stemming from theory and practice combine to shed light on how controversies are born on social media, how crises can be prevented on social media and how organizations may manage crisis situations on social media. The majority of the resulting guidelines focus on how to address negative information and communicate during a crisis but other means of crisis management are also presented. Previous research had voiced that the field of public relations was very fractured, crisis management was lacking qualitative research and provided very little information on what organizations should do before a crisis. Thesis collects a comprehensive amount of previous research from various fields of PR in an effort to unite findings and guidelines, gathers and analyzes empirical data in a qualitative manner and includes a pre-crisis paradigm. One of the challenges in the field of crisis management still remains the absence of universally agreed definition of a crisis and the lack of means to quantify and compare the magnitude of crises.

Communication of reproductive health information to the rural girl child in Filabusi, Zimbabwe.

Background: Despite a number of programs aimed at the transfer of reproductive health information, adolescents in Zimbabwe still face unprecedented reproductive challenges. Objectives: The study sought to explore adolescent girls’ knowledge of their sexual and reproductive health; the factors that influence their sexual behaviors and to determine the extent to which adolescents had access to sexual and reproductive health information. Methods: The case study methodology was used for the study. The interpretive paradigm was used as the methodological theory and Grunig’s model of excellence in communication was used as the substantive theory. Data was obtained through the use of focus group discussions and indepth interviews. Results: Although adolescents knew the different types of sexually transmitted diseases and were aware of the consequences of engaging in risky sexual behaviors, they engaged in health behaviors which had potential for serious consequences. The study established that adolescents did not have adequate access to sexual and reproductive health information. Sexual issues were not adequately addressed both at school and at home. Conclusion: Adolescents lack adequate access to reproductive health information and there is need for effective communication programs that contribute towards the understanding of communicated messages by audiences and the understanding of audiences by communicators.

An Information Theoretic Approach to Automatic Query Expansion

International audience

Work performed for the Course "The Reader and their information needs"

During "The reader and their information needs" students tried to implement the theory discussed in class. To this end, organized into sub-groups and worked in different types of libraries. The following paper covers the practice that the students: Jenssy Arguedas Salazar Hernández Sandoval Lidiette Oses and Olga Corrales held in the Library "Sister Onorina Leporati" Help Ma College of Alajuela.

Flooded with Information from Social Media: Effects of Disaster Information Source and Visuals on Viewers' Cognitive, Affective, and Behavioral Responses

While a variety of crisis types loom as real risks for organizations and communities, and the media landscape continues to evolve, research is needed to help explain and predict how people respond to various kinds of crisis and disaster information. For example, despite the rising prevalence of digital and mobile media centered on still and moving visuals, and stark increases in Americans’ use of visual-based platforms for seeking and sharing disaster information, relatively little is known about how the presence or absence of disaster visuals online might prompt or deter resilience-related feelings, thoughts, and/or behaviors. Yet, with such insights, governmental and other organizational entities as well as communities themselves may best help individuals and communities prepare for, cope with, and recover from adverse events. Thus, this work uses the theoretical lens of the social-mediated crisis communication model (SMCC) coupled with the limited capacity model of motivated mediated message processing (LC4MP) to explore effects of disaster information source and visuals on viewers’ resilience-related responses to an extreme flooding scenario. Results from two experiments are reported. First a preliminary 2 (disaster information source: organization/US National Weather Service vs. news media/USA Today) x 2 (disaster visuals: no visual podcast vs. moving visual video) factorial between-subjects online experiment with a convenience sample of university students probes effects of crisis source and visuals on a variety of cognitive, affective, and behavioral outcomes. A second between-subjects online experiment manipulating still and moving visual pace in online videos (no visual vs. still, slow-pace visual vs. still, medium-pace visual vs. still, fast-pace visual vs. moving, slow-pace visual vs. moving, medium-pace visual vs. moving, fast-pace visual) with a convenience sample recruited from Amazon’s Mechanical Turk (mTurk) similarly probes a variety of potentially resilience-related cognitive, affective, and behavioral outcomes. The role of biological sex as a quasi-experimental variable is also investigated in both studies. Various implications for community resilience and recommendations for risk and disaster communicators are explored. Implications for theory building and future research are also examined. Resulting modifications of the SMCC model (i.e., removing “message strategy” and adding the new category of “message content elements” under organizational considerations) are proposed.

The Promise of Access: Hope and Inequality in the Information Economy

In 2013, a series of posters began appearing in Washington, DC’s Metro system. Each declared “The internet: Your future depends on it” next to a photo of a middle-aged black Washingtonian, and an advertisement for the municipal government’s digital training resources. This hopeful discourse is familiar but where exactly does it come from? And how are our public institutions reorganized to approach the problem of poverty as a problem of technology? The Clinton administration’s ‘digital divide’ policy program popularized this hopeful discourse about personal computing powering social mobility, positioned internet startups as the ‘right’ side of the divide, and charged institutions of social reproduction such as schools and libraries with closing the gap and upgrading themselves in the image of internet startups. After introducing the development regime that builds this idea into the urban landscape through what I call the ‘political economy of hope’, and tracing the origin of the digital divide frame, this dissertation draws on three years of comparative ethnographic fieldwork in startups, schools, and libraries to explore how this hope is reproduced in daily life, becoming the common sense that drives our understanding of and interaction with economic inequality and reproduces that inequality in turn. I show that the hope in personal computing to power social mobility becomes a method of securing legitimacy and resources for both white émigré technologists and institutions of social reproduction struggling to understand and manage the persistent poverty of the information economy. I track the movement of this common sense between institutions, showing how the political economy of hope transforms them as part of a larger development project. This dissertation models a new, relational direction for digital divide research that grounds the politics of economic inequality with an empirical focus on technologies of poverty management. It demands a conceptual shift that sees the digital divide not as a bug within the information economy, but a feature of it.

Pediatric Nurses’ Information and Applications Related To Ethical Codes

Background: Ethics is defined as the entirety of moral principles that form the basis of individuals’ behavior; it can also be defined as “moral theory” or “theoretical ethics”. Objectives: To determinate information and applications related to ethical codes of pediatric nurses. Patients and Methods: Participants were nurses attending the Neonatal Intensive Care Unit Nursing Course and the Pediatric Nursing Course conducted in Istanbul between September 2011 and December 2012. A total of nurses attending the courses at the specified dates and who agreed to participate in the study were included in the analysis. Data were collected through a questionnaire that we developed in accordance with current literature on nursing ethics. Results: 140 nurses participated in this study. Information and applications were related to ethical codes of nurses including four categories; autonomy, beneficence, nonmaleficence, justice. The principle of confidentiality/keeping secrets. Exactly 64.3% of nurses reported having heard of nursing ethical codes. The best-known ethical code was the principle of justice. Furthermore, while the rates were generally low, some nurses engaged in unethical practices such as patient discrimination and prioritizing acquaintances. Conclusions: We conclude that most nurses working in pediatric clinics act in compliance with ethical codes. We also found that the majority of nurses wanted to learn about ethical codes. For this reason, we recommended that nurses working in clinics and future nurses in training be informed of the appropriate ethical behavior and codes.

Mutual Information-based RBM Neural Networks

(Deep) neural networks are increasingly being used for various computer vision and pattern recognition tasks due to their strong ability to learn highly discriminative features. However, quantitative analysis of their classication ability and design philosophies are still nebulous. In this work, we use information theory to analyze the concatenated restricted Boltzmann machines (RBMs) and propose a mutual information-based RBM neural networks (MI-RBM). We develop a novel pretraining algorithm to maximize the mutual information between RBMs. Extensive experimental results on various classication tasks show the eectiveness of the proposed approach.

The economics of credit markets: theory and evidence.

Doutoramento em Economia.

Pedagogical Appropriation of Information and Communication Technologies (ICT) by West African Educators = Appropriation pédagogique des technologies de l’information et de la communication (TIC) par les éducateurs ouest-africains

Œuvre dédiée à Alioune Camara; merci au Prof. Denis Dougnon de l’Université de Bamako pour le parrainage

Keeping Variables within Bounds: Using Information between Observations

This research develops an econometric framework to analyze time series processes with bounds. The framework is general enough that it can incorporate several different kinds of bounding information that constrain continuous-time stochastic processes between discretely-sampled observations. It applies to situations in which the process is known to remain within an interval between observations, by way of either a known constraint or through the observation of extreme realizations of the process. The main statistical technique employs the theory of maximum likelihood estimation. This approach leads to the development of the asymptotic distribution theory for the estimation of the parameters in bounded diffusion models. The results of this analysis present several implications for empirical research. The advantages are realized in the form of efficiency gains, bias reduction and in the flexibility of model specification. A bias arises in the presence of bounding information that is ignored, while it is mitigated within this framework. An efficiency gain arises, in the sense that the statistical methods make use of conditioning information, as revealed by the bounds. Further, the specification of an econometric model can be uncoupled from the restriction to the bounds, leaving the researcher free to model the process near the bound in a way that avoids bias from misspecification. One byproduct of the improvements in model specification is that the more precise model estimation exposes other sources of misspecification. Some processes reveal themselves to be unlikely candidates for a given diffusion model, once the observations are analyzed in combination with the bounding information. A closer inspection of the theoretical foundation behind diffusion models leads to a more general specification of the model. This approach is used to produce a set of algorithms to make the model computationally feasible and more widely applicable. Finally, the modeling framework is applied to a series of interest rates, which, for several years, have been constrained by the lower bound of zero. The estimates from a series of diffusion models suggest a substantial difference in estimation results between models that ignore bounds and the framework that takes bounding information into consideration.

Agency theory and the family business

The conceptual domain of agency theory is one of the dominant organisational theory perspectives applied in current family business research (Chrisman et al., 2010). According to agency theory (Jensen and Meckling, 1976), agency costs generally arise due to individuals’ selfinterest and decision making based on rational thinking and oriented toward own preferences. With more people involved in decision making, such as through the separation of ownership and management, agency costs occur due to different preferences and information asymmetries between the owner (principal) and the employed management (agent) (Jensen and Meckling, 1976). In other words, agents take decisions based on their individual preferences (for example, short term, financial gains) instead of the owners’ preferences (for example, long term, sustainable development).

Critical pedagogy theory and the family business

In contemporary times family business research has been dominated by three theoretical perspectives; principal-agent theory, stewardship theory, and resource-based view theory (Siebels 2012) but at the same time scholars argue that what still needs further attention is how underlying processes and phenomena can be explained (Melin, Nordqvist & Sharma  2014). In order to understand themes such as repression or relations of asymmetry the suggestion in this chapter is to move towards a critical stance of thinking which involves problematizing the obvious issues in family firms (Alvesson & Deetz 2000) and moreover allowing the critical perspective to destabilize assumptions made within earlier research (Freire, 1974). By discussing critical theory in general but foremost the Freirean  (1970, 1974) critical pedagogy specifically, the arguments in the chapter revolves around how critical pedagogy can open up for a more novel view on family business. The purpose is via critical pedagogy discuss family business from a limited situation perspective, and to argue for a Freirean (1970) dialogue as means of developing a critical consciousness for family members in the family business context. The chapter concludes with some recommendations on platforms or common grounds in which dialogue and raising of consciousness can occur in which the concept can open up possibilities for interesting learning transfer and bring multidimensional knowledge into the family firm.