Probabilistic reasoning with an enzyme-driven DNA device

We present a biomolecular probabilistic model driven by the action of a DNA toolbox made of a set of DNA templates and enzymes that is able to perform Bayesian inference. The model will take single-stranded DNA as input data, representing the presence or absence of a specific molecular signal (the evidence). The program logic uses different DNA templates and their relative concentration ratios to encode the prior probability of a disease and the conditional probability of a signal given the disease. When the input and program molecules interact, an enzyme-driven cascade of reactions (DNA polymerase extension, nicking and degradation) is triggered, producing a different pair of single-stranded DNA species. Once the system reaches equilibrium, the ratio between the output species will represent the application of Bayes? law: the conditional probability of the disease given the signal. In other words, a qualitative diagnosis plus a quantitative degree of belief in that diagno- sis. Thanks to the inherent amplification capability of this DNA toolbox, the resulting system will be able to to scale up (with longer cascades and thus more input signals) a Bayesian biosensor that we designed previously.

Automated end user-centred adaptation of web components through automated description logic-based reasoning

Context: This paper addresses one of the major end-user development (EUD) challenges, namely, how to pack today?s EUD support tools with composable elements. This would give end users better access to more components which they can use to build a solution tailored to their own needs. The success of later end-user software engineering (EUSE) activities largely depends on how many components each tool has and how adaptable components are to multiple problem domains. Objective: A system for automatically adapting heterogeneous components to a common development environment would offer a sizeable saving of time and resources within the EUD support tool construction process. This paper presents an automated adaptation system for transforming EUD components to a standard format. Method: This system is based on the use of description logic. Based on a generic UML2 data model, this description logic is able to check whether an end-user component can be transformed to this modeling language through subsumption or as an instance of the UML2 model. Besides it automatically finds a consistent, non-ambiguous and finite set of XSLT mappings to automatically prepare data in order to leverage the component as part of a tool that conforms to the target UML2 component model. Results: The proposed system has been successfully applied to components from four prominent EUD tools. These components were automatically converted to a standard format. In order to validate the proposed system, rich internet applications (RIA) used as an operational support system for operators at a large services company were developed using automatically adapted standard format components. These RIAs would be impossible to develop using each EUD tool separately. Conclusion: The positive results of applying our system for automatically adapting components from current tool catalogues are indicative of the system?s effectiveness. Use of this system could foster the growth of web EUD component catalogues, leveraging a vast ecosystem of user-centred SaaS to further current EUSE trends.

Engineering Computational Emotion - A Reference Model for Emotion in Artificial Systems

Emotion is generally argued to be an influence on the behavior of life systems, largely concerning flexibility and adaptivity. The way in which life systems acts in response to a particular situations of the environment, has revealed the decisive and crucial importance of this feature in the success of behaviors. And this source of inspiration has influenced the way of thinking artificial systems. During the last decades, artificial systems have undergone such an evolution that each day more are integrated in our daily life. They have become greater in complexity, and the subsequent effects are related to an increased demand of systems that ensure resilience, robustness, availability, security or safety among others. All of them questions that raise quite a fundamental challenges in control design. This thesis has been developed under the framework of the Autonomous System project, a.k.a the ASys-Project. Short-term objectives of immediate application are focused on to design improved systems, and the approaching of intelligence in control strategies. Besides this, long-term objectives underlying ASys-Project concentrate on high order capabilities such as cognition, awareness and autonomy. This thesis is placed within the general fields of Engineery and Emotion science, and provides a theoretical foundation for engineering and designing computational emotion for artificial systems. The starting question that has grounded this thesis aims the problem of emotion--based autonomy. And how to feedback systems with valuable meaning has conformed the general objective. Both the starting question and the general objective, have underlaid the study of emotion, the influence on systems behavior, the key foundations that justify this feature in life systems, how emotion is integrated within the normal operation, and how this entire problem of emotion can be explained in artificial systems. By assuming essential differences concerning structure, purpose and operation between life and artificial systems, the essential motivation has been the exploration of what emotion solves in nature to afterwards analyze analogies for man--made systems. This work provides a reference model in which a collection of entities, relationships, models, functions and informational artifacts, are all interacting to provide the system with non-explicit knowledge under the form of emotion-like relevances. This solution aims to provide a reference model under which to design solutions for emotional operation, but related to the real needs of artificial systems. The proposal consists of a multi-purpose architecture that implement two broad modules in order to attend: (a) the range of processes related to the environment affectation, and (b) the range or processes related to the emotion perception-like and the higher levels of reasoning. This has required an intense and critical analysis beyond the state of the art around the most relevant theories of emotion and technical systems, in order to obtain the required support for those foundations that sustain each model. The problem has been interpreted and is described on the basis of AGSys, an agent assumed with the minimum rationality as to provide the capability to perform emotional assessment. AGSys is a conceptualization of a Model-based Cognitive agent that embodies an inner agent ESys, the responsible of performing the emotional operation inside of AGSys. The solution consists of multiple computational modules working federated, and aimed at conforming a mutual feedback loop between AGSys and ESys. Throughout this solution, the environment and the effects that might influence over the system are described as different problems. While AGSys operates as a common system within the external environment, ESys is designed to operate within a conceptualized inner environment. And this inner environment is built on the basis of those relevances that might occur inside of AGSys in the interaction with the external environment. This allows for a high-quality separate reasoning concerning mission goals defined in AGSys, and emotional goals defined in ESys. This way, it is provided a possible path for high-level reasoning under the influence of goals congruence. High-level reasoning model uses knowledge about emotional goals stability, letting this way new directions in which mission goals might be assessed under the situational state of this stability. This high-level reasoning is grounded by the work of MEP, a model of emotion perception that is thought as an analogy of a well-known theory in emotion science. The work of this model is described under the operation of a recursive-like process labeled as R-Loop, together with a system of emotional goals that are assumed as individual agents. This way, AGSys integrates knowledge that concerns the relation between a perceived object, and the effect which this perception induces on the situational state of the emotional goals. This knowledge enables a high-order system of information that provides the sustain for a high-level reasoning. The extent to which this reasoning might be approached is just delineated and assumed as future work. This thesis has been studied beyond a long range of fields of knowledge. This knowledge can be structured into two main objectives: (a) the fields of psychology, cognitive science, neurology and biological sciences in order to obtain understanding concerning the problem of the emotional phenomena, and (b) a large amount of computer science branches such as Autonomic Computing (AC), Self-adaptive software, Self-X systems, Model Integrated Computing (MIC) or the paradigm of models@runtime among others, in order to obtain knowledge about tools for designing each part of the solution. The final approach has been mainly performed on the basis of the entire acquired knowledge, and described under the fields of Artificial Intelligence, Model-Based Systems (MBS), and additional mathematical formalizations to provide punctual understanding in those cases that it has been required. This approach describes a reference model to feedback systems with valuable meaning, allowing for reasoning with regard to (a) the relationship between the environment and the relevance of the effects on the system, and (b) dynamical evaluations concerning the inner situational state of the system as a result of those effects. And this reasoning provides a framework of distinguishable states of AGSys derived from its own circumstances, that can be assumed as artificial emotion.

Normative Practical Reasoning via Argumentation and Dialogue

Postprint

Case-based reasoning to support decision making for managing drinking water quality events in distribution systems

Peer reviewed

Behavioral economics: Reunifying psychology and economics

“Behavioral economics” improves the realism of the psychological assumptions underlying economic theory, promising to reunify psychology and economics in the process. Reunification should lead to better predictions about economic behavior and better policy prescriptions.

The Importance of the First Psychotherapy Case in the Development of the Therapist's Professional Self as Viewed Through the Lens of Self Psychology

This paper explores the gap in the literature between what is herein referred to as the "first psychotherapy case" and its impact on the development of the trainee psychotherapist's professional self. The self psychology concepts of identity development, selfobject needs and fulfillment, narcissism, shame, countertransference, and structuralization are incorporated into the theoretical framework from which this developmental milestone is viewed. The theory's emphasis on early experiences and the development of self highlight the distinctiveness of the first case for the therapist. The beginning psychotherapy case poses a unique context for selfobject experiences and the developing self, involving both the therapist's presumably mature needs (assuming an existing cohesive nuclear self) and more infantile needs as the professional, peripheral self develops. As a result, the potential and important implications for the psychotherapist, the patient, training implications for the supervisor, and the ensuing treatment through termination are identified. The intent is to shed light on an area that is understudied thus far, and to begin a conversation as to why and how the impact of the first case on the psychotherapist should be examined. Implications, limitations, and ideas for future exploratory and qualitative research are also discussed.

An Evaluation of Sport Psychology Service Delivery in Collegiate Athletics

Sport and Performance Psychology is an ever-evolving specialty. While its development continues, it has not been without its challenges. Sport and performance psychologists work in a variety of settings and often come from similar, yet inherently different, training backgrounds. Individuals from both sport sciences and psychology have made compelling arguments as to which approach provides quality services to their respective clients. The question that remains, however, is what are these quality services? Who are the clients and what do they need from professionals in the field?Collegiate student athletes inherently face a number of typical issues related to their age and development. They also face a number of atypical difficulties as a result of their status as student athletes. As such, they provide an adequate sample of potential presenting issues for sport and performance psychologists. This current study utilized a qualitative, exploratory method to evaluate the presenting issues that brought clients to seek services from professionals.This paper seeks to establish a foundation for the development of a theoretical basis of the psychology of human performance, including both performance and general mental health concerns, and how sport and performance psychologists can most effectively intervene in this process. This paper is based on an analysis of seven years of service delivery within a NCAA Division I athletic department.Results indicate that collegiate student athletes seek services related to performance enhancement and general mental health at relative equal frequency. As such, training and service delivery in both areas would be most beneficial and best serve this population.  

Multicultural education in Clinical Psychology Programs and the needs of racial minority trainees.

With more racial minorities entering the field of clinical psychology, the training needs of racial minority students in doctoral programs must be considered. Few studies address training in multicultural education from the perspective of racial minority students despite their increasing presence in the field. This may be due to assumptions educators make based on their level of competency in the area of multiculturalism. Thus, the goal of this exploratory study is to help determine the multicultural training needs of racial minorities enrolled in clinical psychology programs. This exploratory study was quantitative and used snowball sampling to survey racial minority trainees in doctoral programs in clinical psychology. Sixty one participants completed the survey. Results indicated that multicultural/diversity classes are valued by racial minority students and are relevant to them. However, the majority of students do not feel challenged, suggesting that their needs are not being fully met. It is recommended that their unique needs be included in the curriculum for multicultural education.

Utilizing Evidence-Based Psychology Practice in the University of Denver's Professional Psychology Center: A Proposal

As acceptance of the Evidence-based Psychology Practice (EBPP) model continues to grow (Pagoto, Spring, Coups, Mulvaney, Coutu, & Ozakinci, 2007), it seems pertinent to explore how this model can be applied in different settings. This topic is timely as practitioners in the field are being held ever more accountable for the efficacy of the treatments they employ (Pagoto et al., 2007). Increased scrutiny has resulted in a need to integrate research into practice in order to ensure continued relevance in the ever-changing realm of American health care (Luebbe, Radcliffe, Callands, Green & Thorn, 2007; Collins, Leffingwell & Belar, 2007; Chwalisz, 2003). This paper explores how the requirements set forth by the American Psychological Association Presidential Task Force on Evidence-Based Practice (2006) can be implemented at the University of Denver's (DU) Professional Psychology Center (PPC), a training clinic for students enrolled in the Psy.D. program at DU's Graduate School of Professional Psychology (GSPP). In doing so, the methods employed by Collins et al. (2007) at Oklahoma State University (OSU) are used as a template and modified to accommodate differences between these two institutions.

Understanding Mastectomy from a Self Psychology Perspective: The Breast as a Self Object

For many women, if not all, breasts are an important component of bodyself-image; a woman may love them or dislike them, but she is rarely neutral" (Young, 2003, p.152). Breast cancer may be one of the oldest forms of cancer known to humans (American Cancer Society, 2010), and in 2008 in the United States over 182,000 women and almost 2,000 men were diagnosed with some form of breast cancer (American Cancer Society, 2008). In that same year 40,480 women and 450 men died from the disease. While any type of cancer diagnosis can instill a fear of mortality and incapacitation in the recipient, breast cancer holds a special meaning for women because of the significance placed on the breast both personally and societally. Removal of the breast tissue and muscle, or mastectomy, remains one of the primary forms of treatment for this disease. The breast plays an important role in a woman's identity, and the loss of one or both breasts due to breast cancer can have a monumental impact on her sense of self. A mastectomy affectsnot only a woman's relationship with herself, but with her family, friends, and society. It changes her outlook on life, her perception of her roles in the world, and her interest in interacting with others. Exploring these issues is important to understanding how doctors, nurses, mental health professionals, family members and support networks can best assist patients in coping with their illness. This paper attempts to understand the psychological issues and injuriesassociated with mastectomy through the lens of Self Psychology. It postulates that the breast itself is a selfobject for most women, and that its loss results in the fragmentation of the self. I will focus particularly on women between the ages of 25 and 40 years of age, in the marital and parental phases of developmental (Wolf, 1988), as the effect of a mastectomy on body image, sexuality, and genderbased roles such as motherhood has been shown to differ according to the age of the patient, with younger patients experiencing more distress (Ashing-Giwa et al, 2004).

Applying Positive Psychology in Early Childhood.

The purpose of this paper is to introduce a framework for applying positive psychology in elementary classrooms. The target age group is children in grades K-3 (ages 5 to 8) because this age group can benefit the most from an early introduction to strategies that promote positive development (Cowne & Hightower, 1989; White, 1996). The following sections will: (a) introduce constructs of positive psychology; (b) present developmental data on how these constructs can be applied to children ages 5 to 8 years; (c) present ideas for incorporating positive psychology practice into K-3 classrooms; (d) present strategies for incorporating positive psychology with multicultural considerations; and (e) present ideas on how to implement strategies based on positive psychology that are compatible with grade level standards and sociopolitical teaching expectations.

Exploring How AFFECT (A Family Focused Emotion Communication Training) and Self Psychology Are Mutually Enhancing

This paper implicitly advocates for a rapprochement between psychodynamic and behavioral approaches to psychotherapy, by exploring the similarities and differences between self psychology and A Family Focused Emotion Communication Training (AFFECT), a behavioral parent training model. Self psychology, a theory with broad applicability, has been applied to several modalities besides behavioral ones. Generally speaking, self psychology and AFFECT are both relational approaches to psychotherapy that emphasize the impact of parent responsiveness, more specifically empathic attunement, on a child's emotional development and emotion regulation. Differentiating aspects of each model are identified to enhance the other model. AFFECT has relevance for pushing self psychology theory more in the direction of operations, which has implications for enhancing the research potential of self psychology, as well as for the training of the self-psychologist. Conversely, self psychology has relevance for coaching the parent with low self-esteem and decreased self-efficacy in AFFECT, which has potential implications for AFFECT treatment outcomes.

A Student's Perspective on Graduate Training in Sport Psychology

This article aims to add to the limited literature related to graduate training in applied sport psychology – specifically from the perspective of a current graduate student. The paper begins with a discussion about the evolving definitions of sport psychology and applied sport psychology as well as a brief history of sport psychology. Next, reasons why graduate students pursue the fields of sport psychology and applied sport psychology along with how this impacts their decisions related to graduate training are examined. Then, literature as well as personal experiences from the author related to education, supervision, practica and internships, mentorship, and certification are explored. Finally, recommendations are provided for students considering graduate training in applied sport psychology.