Adaptive Brain-Computer Interface Systems For Communication in People with Severe Neuromuscular Disabilities

Brain-computer interfaces (BCI) have the potential to restore communication or control abilities in individuals with severe neuromuscular limitations, such as those with amyotrophic lateral sclerosis (ALS). The role of a BCI is to extract and decode relevant information that conveys a user's intent directly from brain electro-physiological signals and translate this information into executable commands to control external devices. However, the BCI decision-making process is error-prone due to noisy electro-physiological data, representing the classic problem of efficiently transmitting and receiving information via a noisy communication channel.

This research focuses on P300-based BCIs which rely predominantly on event-related potentials (ERP) that are elicited as a function of a user's uncertainty regarding stimulus events, in either an acoustic or a visual oddball recognition task. The P300-based BCI system enables users to communicate messages from a set of choices by selecting a target character or icon that conveys a desired intent or action. P300-based BCIs have been widely researched as a communication alternative, especially in individuals with ALS who represent a target BCI user population. For the P300-based BCI, repeated data measurements are required to enhance the low signal-to-noise ratio of the elicited ERPs embedded in electroencephalography (EEG) data, in order to improve the accuracy of the target character estimation process. As a result, BCIs have relatively slower speeds when compared to other commercial assistive communication devices, and this limits BCI adoption by their target user population. The goal of this research is to develop algorithms that take into account the physical limitations of the target BCI population to improve the efficiency of ERP-based spellers for real-world communication.

In this work, it is hypothesised that building adaptive capabilities into the BCI framework can potentially give the BCI system the flexibility to improve performance by adjusting system parameters in response to changing user inputs. The research in this work addresses three potential areas for improvement within the P300 speller framework: information optimisation, target character estimation and error correction. The visual interface and its operation control the method by which the ERPs are elicited through the presentation of stimulus events. The parameters of the stimulus presentation paradigm can be modified to modulate and enhance the elicited ERPs. A new stimulus presentation paradigm is developed in order to maximise the information content that is presented to the user by tuning stimulus paradigm parameters to positively affect performance. Internally, the BCI system determines the amount of data to collect and the method by which these data are processed to estimate the user's target character. Algorithms that exploit language information are developed to enhance the target character estimation process and to correct erroneous BCI selections. In addition, a new model-based method to predict BCI performance is developed, an approach which is independent of stimulus presentation paradigm and accounts for dynamic data collection. The studies presented in this work provide evidence that the proposed methods for incorporating adaptive strategies in the three areas have the potential to significantly improve BCI communication rates, and the proposed method for predicting BCI performance provides a reliable means to pre-assess BCI performance without extensive online testing.

Factors Impacting Grandparent and Grand Child Communication Across Sex- Related Topics in Kenya

Background: Although many studies have investigated sexual communication between parents and children in Kenya, none have focused singularly on grandparent and grandchild communication when grandparents are primary caregivers. Further, few studies have asked about specific topics related to sex, instead asking generally about “sex related topics” or focusing on HIV/AIDS. This research aims to investigate communication on ten specific sex- related topics between grandparents who are primary caregivers and their grandchildren. The primary research aim was to identify facilitators and barriers to grandparent-grandchild communication associated with frequency of communication. A secondary exploratory question was whether frequency of communication and youth satisfaction with communication were associated with youth’s desire for more communication in the future. Methods: The study was conducted in urban and peri-urban central Kenya. A convenience sample of 193 grandparents and 166 twelve to fifteen year old grandchildren were identified by community health workers. A cross sectional survey assessed nine potential barriers or facilitators to communication (e.g., frequency of communication, perceived grandparent knowledge, grandparent sense of responsibility to communication on a given topic) on ten specified sex- related topics (e.g., peer pressure on sex topics, romantic relationships, condoms). Bivariate and multivariable analyses identified significant associations between communication variables and the outcomes of interest. Results: Bivariate regression showed that higher grandchild age, grandchild gender, higher perceived grandparent knowledge, higher perceived grandparent comfort, higher grandparent-reported sense of responsibility, higher grandparent-reported belief that child should be aware of a given topic before initiating in sex, and higher youth’s own comfort during communication, were significantly associated with higher levels of communication frequency. In the multivariable model, higher grandchild age, gender, higher comfort during communication, and higher perceived grandparent knowledge remained significantly associated with higher levels communication frequency. For the secondary research question, higher communication frequency and higher levels of youth satisfaction were both significantly associated with higher levels of youth desire for more communication in bivariate regression, and higher levels of youth’s satisfaction with communication remained significantly associated with higher levels of youth’s desire for more in the adjusted analysis. Conclusions: This study found that several potential barriers and facilitators of communication are associated with both frequency of and youth’s desire for more communication. The association between grandchild age, gender and perceived grandparent knowledge and frequency of communication is similar to findings from other studies that have examined sex-related communication between parent primary caregivers and children. This finding has important implications for understanding grandparent and grandchild communication, and communication on specific topics in a population from Kenya. The positive association between youth satisfaction of and desire for more communication has important education policy and intervention implications, suggesting that if youth are satisfied with the communication with their caregivers, they may want to learn more.

Hippocampal Transcriptomic and Proteomic Alterations in the BTBR Mouse Model of Autism Spectrum Disorder.

Autism spectrum disorders (ASD) are complex heterogeneous neurodevelopmental disorders of an unclear etiology, and no cure currently exists. Prior studies have demonstrated that the black and tan, brachyury (BTBR) T+ Itpr3tf/J mouse strain displays a behavioral phenotype with ASD-like features. BTBR T+ Itpr3tf/J mice (referred to simply as BTBR) display deficits in social functioning, lack of communication ability, and engagement in stereotyped behavior. Despite extensive behavioral phenotypic characterization, little is known about the genes and proteins responsible for the presentation of the ASD-like phenotype in the BTBR mouse model. In this study, we employed bioinformatics techniques to gain a wide-scale understanding of the transcriptomic and proteomic changes associated with the ASD-like phenotype in BTBR mice. We found a number of genes and proteins to be significantly altered in BTBR mice compared to C57BL/6J (B6) control mice controls such as BDNF, Shank3, and ERK1, which are highly relevant to prior investigations of ASD. Furthermore, we identified distinct functional pathways altered in BTBR mice compared to B6 controls that have been previously shown to be altered in both mouse models of ASD, some human clinical populations, and have been suggested as a possible etiological mechanism of ASD, including "axon guidance" and "regulation of actin cytoskeleton." In addition, our wide-scale bioinformatics approach also discovered several previously unidentified genes and proteins associated with the ASD phenotype in BTBR mice, such as Caskin1, suggesting that bioinformatics could be an avenue by which novel therapeutic targets for ASD are uncovered. As a result, we believe that informed use of synergistic bioinformatics applications represents an invaluable tool for elucidating the etiology of complex disorders like ASD.

Processus d’appropriation des technologies de l’information et de la communication par les enseignants : le cas des tablettes

L’intégration des technologies de l’information et de la communication (TIC) en contexte éducatif représente un moyen concret d’action et de réflexion en sciences de l’éducation. Les scientifiques et les acteurs de terrain se questionnent sur l’intégration des technologies et sur les moyens à mettre en place afin de réussir ce processus parfois complexe. De fait, la pénétration des outils technologiques dans les établissements scolaires a été exponentielle ces dernières années. Il est aujourd’hui nécessaire de comprendre selon quelles perspectives ces outils s’intègrent en salle de classe. Un exemple marquant est celui de la tablette tactile, récemment intégrée massivement dans les écoles d’Amérique du Nord et d’Europe. Cet outil, relativement récent dans la sphère scolaire, demande une réflexion précise vis-à-vis des pratiques pédagogiques des enseignants et des processus d’intégration inhérents. Afin de répondre à ces questionnements, nous avons élaboré une recherche en trois temps. Dans un premier temps, nous avons dressé un portrait exhaustif des pratiques pédagogiques des enseignants utilisant quotidiennement la tablette tactile en salle de classe. Ce portrait nous permet d’esquisser une synthèse des usages et réalités pédagogiques qui entourent cet outil. Dans un deuxième temps, nous avons répertorié, analysé et classifié les modèles d’intégration des TIC présents dans la littérature. L’analyse de ces modèles nous a permis d’en extraire les forces et les lacunes intrinsèques. Ensuite, nous avons créé un modèle synthèse rassemblant les réflexions issues de ces analyses. En parallèle, nous avons créé une typologie permettant d’identifier et de classifier ces modèles. Dans un troisième temps, nous sommes partis des pratiques pédagogiques des enseignants et du modèle général d’intégration des TIC que nous avons conçu afin de comprendre quel était le processus d’intégration de la tablette en salle de classe. Les résultats obtenus mettent en évidence que l’utilisation de la tablette induit des usages pédagogiques novateurs qui facilitent l’enseignement et qui favorisent l’apprentissage des élèves. Cependant, nous constatons que la tablette n’est pas utilisée à son plein potentiel et que certains usages devraient être envisagés selon une perspective plus efficiente et adaptée. En ce qui concerne les processus d’intégration, nous avons identifié plusieurs éléments indispensables: ces processus doivent être itératifs et constructifs, des facteurs internes et externes doivent être considérés et des niveaux d’intégration doivent être identifiés. Le modèle ainsi conçu spécifie le modèle à privilégier et les aboutissants à considérer. À la suite de cette étape, nous avons conçu un modèle d’intégration spécifiquement dédié à la tablette. Celui-ci met en évidence, au-delà des caractéristiques définies dans le modèle général, une nécessaire formation, une implication des acteurs, un ajustement constant des pratiques pédagogiques et une itération indispensable. À la suite de ces considérations, nous constatons que le processus d’appropriation de la tablette est en cours de construction et que les nouvelles implantations, comme les existantes, doivent procéder à une analyse minutieuse des tenants et aboutissants des pratiques médiées par l’intégration de l’outil. En fin de document, une synthèse des résultats et des recommandations est proposée afin de favoriser l’intégration de la tablette tactile - et des TIC en général – dans la salle de classe.

A Generic Model of Execution for Synthesizing Domain-Specific Models

Software engineering researchers are challenged to provide increasingly more pow- erful levels of abstractions to address the rising complexity inherent in software solu- tions. One new development paradigm that places models as abstraction at the fore- front of the development process is Model-Driven Software Development (MDSD). MDSD considers models as first class artifacts, extending the capability for engineers to use concepts from the problem domain of discourse to specify apropos solutions. A key component in MDSD is domain-specific modeling languages (DSMLs) which are languages with focused expressiveness, targeting a specific taxonomy of problems. The de facto approach used is to first transform DSML models to an intermediate artifact in a HLL e.g., Java or C++, then execute that resulting code. Our research group has developed a class of DSMLs, referred to as interpreted DSMLs (i-DSMLs), where models are directly interpreted by a specialized execution engine with semantics based on model changes at runtime. This execution engine uses a layered architecture and is referred to as a domain-specific virtual machine (DSVM). As the domain-specific model being executed descends the layers of the DSVM the semantic gap between the user-defined model and the services being provided by the underlying infrastructure is closed. The focus of this research is the synthesis engine, the layer in the DSVM which transforms i-DSML models into executable scripts for the next lower layer to process. The appeal of an i-DSML is constrained as it possesses unique semantics contained within the DSVM. Existing DSVMs for i-DSMLs exhibit tight coupling between the implicit model of execution and the semantics of the domain, making it difficult to develop DSVMs for new i-DSMLs without a significant investment in resources. At the onset of this research only one i-DSML had been created for the user- centric communication domain using the aforementioned approach. This i-DSML is the Communication Modeling Language (CML) and its DSVM is the Communication Virtual machine (CVM). A major problem with the CVM’s synthesis engine is that the domain-specific knowledge (DSK) and the model of execution (MoE) are tightly interwoven consequently subsequent DSVMs would need to be developed from inception with no reuse of expertise. This dissertation investigates how to decouple the DSK from the MoE and sub- sequently producing a generic model of execution (GMoE) from the remaining appli- cation logic. This GMoE can be reused to instantiate synthesis engines for DSVMs in other domains. The generalized approach to developing the model synthesis com- ponent of i-DSML interpreters utilizes a reusable framework loosely coupled to DSK as swappable framework extensions. This approach involves first creating an i-DSML and its DSVM for a second do- main, demand-side smartgrid, or microgrid energy management, and designing the synthesis engine so that the DSK and MoE are easily decoupled. To validate the utility of the approach, the SEs are instantiated using the GMoE and DSKs of the two aforementioned domains and an empirical study to support our claim of reduced developmental effort is performed.

Untangling a Web of Lies: Exploring Automated Detection of Deception in Computer-Mediated Communication

Safeguarding organizations against opportunism and severe deception in computer-mediated communication (CMC) presents a major challenge to CIOs and IT managers. New insights into linguistic cues of deception derive from the speech acts innate to CMC. Applying automated text analysis to archival email exchanges in a CMC system as part of a reward program, we assess the ability of word use (micro-level), message development (macro-level), and intertextual exchange cues (meta-level) to detect severe deception by business partners. We empirically assess the predictive ability of our framework using an ordinal multilevel regression model. Results indicate that deceivers minimize the use of referencing and self-deprecation but include more superfluous descriptions and flattery. Deceitful channel partners also over structure their arguments and rapidly mimic the linguistic style of the account manager across dyadic e-mail exchanges. Thanks to its diagnostic value, the proposed framework can support firms’ decision-making and guide compliance monitoring system development.

Uses of agent-based modeling for health communication: the TELL ME case study

Government communication is an important management tool during a public health crisis, but understanding its impact is difficult. Strategies may be adjusted in reaction to developments on the ground and it is challenging to evaluate the impact of communication separately from other crisis management activities. Agent-based modeling is a well-established research tool in social science to respond to similar challenges. However, there have been few such models in public health. We use the example of the TELL ME agent-based model to consider ways in which a non-predictive policy model can assist policy makers. This model concerns individuals’ protective behaviors in response to an epidemic, and the communication that influences such behavior. Drawing on findings from stakeholder workshops and the results of the model itself, we suggest such a model can be useful: (i) as a teaching tool, (ii) to test theory, and (iii) to inform data collection. We also plot a path for development of similar models that could assist with communication planning for epidemics.

Chemotherapy patient perception regarding communication with the healthcare staff

Purpose: To qualitatively explore the communication between healthcare professionals and oncology patients based on the perception of patients undergoing chemotherapy.Method: Qualitative and exploratory design. Participants were 14 adult patients undergoing chemotherapy at different stages of the disease. A socio-demographic and clinical data form was utilized along with semi-structured interviews. The interviews were audio-recorded, transcribed and content analysis was performed. Two independent judges evaluated the interview content in regards to emerging categories and obtained a Kappa index of 0.834.Results: Three categories emerged from the data: 1) Technical communication without emotional support, in which the information provided is composed of strictly technical information regarding the diagnosis, treatment and/or prognosis; 2) Technical communication, in which the information provided is oriented towards the technical aspects of the patient’s physical condition, while also providing psychological support for the patients’ subjective needs; and 3) Insufficient technical communication, win which there are gaps in the information provided causing confusion and suffering to the patient.Conclusions: Communication with emotional support contributes to greater satisfaction of chemotherapy patients. Practical implications: the results provide elements for the training of healthcare professionals regarding the importance of the emotional support that can be offered to cancer patients during their treatment.

Model for integrates community tourism in Ecuador, case study Pastaza

The tourism industry globally has grown steadily in recent decades, showing a progressive interest oriented toward rural areas due to characteristics of tranquility, nature, biodiversity, traditions and culture. Therefore, such aspects should be preserved and can be leveraged through adequate strategic orientation. Within the framework of global tourism trends community tourism is among the options that arise in the tourism market, and is one that is more likely to grow in the future. In the case of Ecuador, community tourism has become more dynamic over the years since many of the natural reserves in the country are in the hands of indigenous communities. Sustainable tourism in this sense is concerned with the maintenance of ethnic, cultural and biological diversity of the country, and current projects and regulatory laws support its development. Therefore, the aim of this paper is to present a strategy for the integrated management of community tourism following the principles of cooperation and collaboration between stakeholders, this study focuses on the Amazon region of Ecuador, specifically the province of Pastaza, in respect to how community tourism contributes to local development

Uses of Agent-Based Modeling for Health Communication: the TELL ME Case Study

Government communication is an important management tool during a public health crisis, but understanding its impact is difficult. Strategies may be adjusted in reaction to developments on the ground and it is challenging to evaluate the impact of communication separately from other crisis management activities. Agent-based modeling is a well-established research tool in social science to respond to similar challenges. However, there have been few such models in public health. We use the example of the TELL ME agent-based model to consider ways in which a non-predictive policy model can assist policy makers. This model concerns individuals' protective behaviors in response to an epidemic, and the communication that influences such behavior. Drawing on findings from stakeholder workshops and the results of the model itself, we suggest such a model can be useful: (i) as a teaching tool, (ii) to test theory, and (iii) to inform data collection. We also plot a path for development of similar models that could assist with communication planning for epidemics.

Model-driven development of sensor network applications with optimization of non-functional constraints

Wireless sensor networks (WSNs) differ from conventional distributed systems in many aspects. The resource limitation of sensor nodes, the ad-hoc communication and topology of the network, coupled with an unpredictable deployment environment are difficult non-functional constraints that must be carefully taken into account when developing software systems for a WSN. Thus, more research needs to be done on designing, implementing and maintaining software for WSNs. This thesis aims to contribute to research being done in this area by presenting an approach to WSN application development that will improve the reusability, flexibility, and maintainability of the software. Firstly, we present a programming model and software architecture aimed at describing WSN applications, independently of the underlying operating system and hardware. The proposed architecture is described and realized using the Model-Driven Architecture (MDA) standard in order to achieve satisfactory levels of encapsulation and abstraction when programming sensor nodes. Besides, we study different non-functional constrains of WSN application and propose two approaches to optimize the application to satisfy these constrains. A real prototype framework was built to demonstrate the developed solutions in the thesis. The framework implemented the programming model and the multi-layered software architecture as components. A graphical interface, code generation components and supporting tools were also included to help developers design, implement, optimize, and test the WSN software. Finally, we evaluate and critically assess the proposed concepts. Two case studies are provided to support the evaluation. The first case study, a framework evaluation, is designed to assess the ease at which novice and intermediate users can develop correct and power efficient WSN applications, the portability level achieved by developing applications at a high-level of abstraction, and the estimated overhead due to usage of the framework in terms of the footprint and executable code size of the application. In the second case study, we discuss the design, implementation and optimization of a real-world application named TempSense, where a sensor network is used to monitor the temperature within an area.

L’innovation de modèle d’affaires exploitant les technologies de l’information et de la communication -contribution à la compréhension du lien entre TIC et performance

Les entreprises qui se servent des technologies de l’information et de la communication (TIC) pour innover mesurent des impacts très inégaux sur leurs performances. Cela dépend principalement de l’intensité, l’ampleur et la cohérence de l’innovation systémique auxquelles elles procèdent. En l’état de la connaissance, la littérature identifie le besoin de mieux comprendre cette notion d’alignement systémique. Cette thèse propose d’aborder cette question à l’aide de la notion d’innovation du modèle d’affaires. Une revue systématique de la littérature a été réalisée. D’un point de vue conceptuel, elle contribue à mieux définir le concept de modèle d’affaires, et a permis de réaliser une typologie des différents cadres de modélisation d’affaires. Le cadre conceptuel qui en est issu aborde le sujet de l’innovation du modèle d’affaires à trois niveaux : (1) stratégique à travers la proposition d’une matrice de positionnement de l’innovation de modèle d’affaires et l’identification de trajectoires d’innovation ; (2) configuration du modèle d’affaires à l’aide du cadre de modélisation tétraédrique de Caisse et Montreuil ; et (3) opérationnel-tactique par l’analyse des facteurs clés de succès et des chaines structurantes. Du fait du caractère émergeant de la littérature sur le sujet, la méthodologie choisie est une étude de cas comparés. Trois études de cas d’entreprises québécoises ont été réalisées. Elles oeuvrent dans des secteurs variés, et ont procédé à une innovation significative de leur modèle d’affaires en s’appuyant sur des TIC,. La recherche conclut à la pertinence de l’utilisation du concept de modèle d’affaires en ce qui concerne l’analyse de l’alignement systémique dans un contexte d’innovation appuyée sur les TIC. Neuf propositions de recherche sont énoncées et ouvrent la voie à de futures recherches

Role for cell-to-cell communication in stem cell specification toward pancreatic progenitors: relevance to the design of novel therapies for diabetes.

Thesis (Ph.D.)--University of Washington, 2016-08

CSR Communication - An Employee Perspective : Tailoring Internal Communication using Employee Preferences for Content, Style and Channel.

Corporate Social Responsibility (CSR) represents a theory and practice that is well-known and communicating its content has shown to play an important role in order to exploit its advantages and engage stakeholders on CSR issues. Even though, CSR communication has shown to be a real challenge, since corporations are encouraged to engage in CSR, but not to communicate too loud about this engagement. This study was inspired by Jenny Dawkins (2005) and her initial idea that tailoring CSR messages by exploring stakeholder preferences for content, style and channel, would solve the communication challenge. One stakeholder group that corporations are highly dependent on is employees and exploring their preferences for CSR communication became the purpose of this thesis: to understand employee preferences for style and channel within the content of CSR. This was of specific interest, since existing research on CSR communication has mainly been centered around financial and external issues on the expense of internal. In addition, the idea of a tailored approach has not gained any interest in research so far, and a possible explanation might be its diffuse meaning, a problem this thesis has addressed. In order to understand employee preferences for internal CSR communication, a qualitative case study research was conducted with in-depth interviews, observations and exercises at site. A total of 20 interviews were arranged in order to collect primary data during a one week prolong engagement at the case. The empirical findings from the respondents’ answers were then transcribed and analyzed using both inductive and theoretical thematic analysis. Based on the findings, the authors of this thesis contribute with two models that help practitioners to understand how to best communicate about various CSR content to employees. The first model developed suggests an implementation of the tailored approach for content, style and channel, and demonstrates a relationship between nature of content and constraint recognition. Also, the model explains how practitioners can provide CSR explanation in order to reduce skepticism and enable endorsement processes where employees communicate CSR to third parties. To show a more dependent relationship between how changes in nature of content and constraint recognition affect employee preferences, the authors created the "CSR Communication Grid". The authors made a theoretical contribution by clarifying and providing a framework for the tailoring approach as initially developed by Dawkins (2005). Additionally, the authors managed to draw a relation between Public Relations (PR) and CSR by referring models of PR to communication styles, which filled this gap in previous research.

Tracing the use of Communication Technologies in Higher Education

This chapter presents a comprehensive view of the main activities and findings of a research project entitled TRACER-Portuguese Public Higher Education Use of Communication Technologies, which focused on how the information about the use of Communication Technologies in Higher Education Institutions  can be collected, systematized, processed, and deployed to stakeholders. The project was carried out between 2011 and 2014 and its main results are a consolidated proposal of an analysis model to address the use of Communication Technologies in Higher Education institutions, as well as the U-TRACER® tool. This Web-based tool provides support to the process of collecting, processing, and deployment of data related with the use of Communication Technologies in a specific Higher Education or in a group of institutions, based on institutional or geographical criteria.