Unstructured Text Enhanced Open-Domain Dialogue System: A Systematic Survey

Incorporating external knowledge into dialogue generation has been proven to benefit the performance of an open-domain Dialogue System (DS), such as generating informative or stylized responses, controlling conversation topics. In this article, we study the open-domain DS that uses unstructured text as external knowledge sources ( U nstructured T ext E nhanced D ialogue S ystem ( UTEDS )). The existence of unstructured text entails distinctions between UTEDS and traditional data-driven DS and we aim at analyzing these differences. We first give the definition of the UTEDS related concepts, then summarize the recently released datasets and models. We categorize UTEDS into Retrieval and Generative models and introduce them from the perspective of model components. The retrieval models consist of Fusion, Matching, and Ranking modules, while the generative models comprise Dialogue and Knowledge Encoding, Knowledge Selection (KS), and Response Generation modules. We further summarize the evaluation methods utilized in UTEDS and analyze the current models’ performance. At last, we discuss the future development trends of UTEDS, hoping to inspire new research in this field.

TOWARDS IMPLEMENTATION OF COMPONENT-BASED MODELING IN THE PLATFORM FOR CREATING KNOWLEDGE-BASED SYSTEMS

В статье исследуются проблемы автоматизации и интеллектуальной поддержки процесса математического и имитационного моделирования сложных объектов за счёт комбинации компонентно-ориентированного и онтологического подходов. В качестве основной прикладной области для применения обсуждаемых методов и средств предполагается использовать такое направление, как комплексное моделирование окружающей среды. В контексте изучаемых вопросов рассмотрены современные подходы к автоматизации компонентно-ориентированного моделирования. При интеграции компонентов-моделей в единую результирующую комплексную модель разработчику необходимо не только обеспечить формальное согласование со стандартами используемого каркаса моделирования, но и учитывать различные типы семантической и синтаксической неоднородности компонентов. В связи с этим выполнена классификация типов интеграции комплексных моделей, обсуждаются особенности реализации компонентно-ориентированного моделирования в авторской платформе создания систем, основанных на знаниях. В качестве иллюстративного примера рассматривается гидролого-экологическая балансовая модель. The article considers the problems of automation and intellectual support of the mathematical and simulation modeling process of complex objects via a combination of component-based and ontological approaches. As the main application area for the discussed methods and tools, it is proposed to use the integrated environmental modeling domain. In this context, modern approaches to the automation of component-based modeling are considered. To couple model components into a final complex model, the developer needs not only to ensure formal agreement with the standards of the modeling framework but also to take into account various types of semantic and syntactic heterogeneity of components. In this regard, the classification of the integration types for complex modeling is carried out, the related implementation features in the author's platform for creating knowledge-based systems are discussed. The hydrological-ecological balance model is considered an illustrative example.

Analisis Health Belief Model Perilaku Pencegahan Covid-19 pada Mahasiswa Kesehatan

Students are considered to have an important role in providing health information and education to the public by compiling appropriate narratives and informative content related to the management of Covid-19 and handling hoax busters. The concept of health belief model is a health belief model with 4 (four) main concepts, namely perceived susceptibility, perceived seriousness, perceived benefits, and perceived barriers. This study aims to describe and analyze the relationship of four (4) health belief model components with the prevention behavior of Covid-19 in health students. This research method uses a descriptive-analytic design with a correlation study approach. The sample used in this study amounted to 97 students with a sampling technique that is probability sampling cluster sampling. The results of the health belief model components that have a relationship with Covid-19 prevention behavior in respondents are the perceived susceptibility component with p-value=0.000 (p<0.05), the perceived severity component with p-value=0.000 (p<0.05), and the perceived benefit component. with p-value=0.0002 (p<0.05). The component that has no relationship with the respondent's Covid-19 prevention behavior is the perceived barriers component with a p-value=0.28 (p>0.05).

DEVELOPING A COMPETITIVE MODEL FOR HEALTH AND WELL-BEING TOURISM DESTINATIONS IN THAILAND: CONFIRMATORY FACTOR ANALYSIS APPROACH

This study assesses the consistency of the structural components of a model for developing a competitive health and well-being destination as viewed by health and well-being tourism entrepreneurs in an emerging Thai market. The sample consisted of 216 health and well-being tourism entrepreneurs recruited by purposive sampling. A questionnaire formatted using a five-point Likert scale was used. The questionnaire’s Index of Item-Objective Congruence (IOC) varied from 0.60 to 1.00, and its reliability ranged from 0.711 to 0.938. Statistical analysis, frequencies, percentages, means, standard deviations, exploratory factor analysis and confirmatory factor analysis were utilised. The findings revealed the following seven model components: 1) health and well-being tourism resources and attractions, 2) infrastructure and facilities, 3) service design and development, 4) policy, planning and destination management, 5) knowledge management and learning organisation, 6) destination management and 7) innovative capacity. Governors, entrepreneurs, destination managers and stakeholders can use the discovered variables to evaluate a competitive health and well-being destination’s expected performance, strengths, weaknesses and development opportunities. Further, this research should enable continuing support through the critical variable factors.

The Application of Fuzzy Delphi Method (FDM) in the Development of Fun-Driven Mobile Learning (FDML) Model for Teaching of Arithmetic in Saudi Schools

One of the methods used in Design and Development Research (DDR) is the Fuzzy Delphi Method (FDM). It is a systematic method for the development and validation of the model. This article aims to use this method to validate a Fun-Driven Mobile Learning (FDML) Model for Teaching Arithmetic. In phase 1 of design and development research, based on the opinion of teachers as subject matter experts, the need to develop the FDML model was justified. In phase 2, the model developed, comprised of thirty-two teaching activities grouped into four clusters. This article presents results on suitability and overall usefulness of the model components derived from the collective opinion of the 15 experts involved in Phase 3 of the study. The data analysis was conducted through the fuzzy Delphi method using a 7-point Likert scale. The outcome indicates a consensus of 93.4 percent of experts at a threshold value of ≤0.02. The suggested components of the FDML model include an integral planning reference for the application of the model and provided alternative validation procedures for model developers in mathematics education and educational technology.

Strategic Business Model Development in Ecosystems

<p>Designing and strategically developing viable business models is vital for value creation and capture and in turn for the survival and performance of entrepreneurial ventures. However, the widely held firm-centric and static business model perspective appears inadequate to reflect the realities of increasingly blurred industry boundaries, interconnected economies, and the resulting collapse of incumbent value chains. This PhD thesis adds understanding of the dynamic business model development process from an ecosystem perspective. The evolution of ten entrepreneurial ventures’ business models was documented and investigated through longitudinal in-depth case studies over twelve months. Analysing and comparing the cases revealed strategies that resulted in the development of effective interactive structures and robust value co-creation and capture mechanisms. The development of interactive structures, i.e. firm-ecosystem fits, was either supported by a focused or diversified ecosystem integration approach underpinned by heterogeneous interdependencies of value proposition and business model components across ecosystems. The obtained insights allowed the derivation of sets of capabilities that supported the business model development process and enhanced entrepreneurial ventures’ chances of survival. The findings have several implications for advancements of the business model theory. In particular they indicate what integration strategies can inform entrepreneurs’ and managers’ business model design and execution strategies for operating in increasingly complex ecosystems.</p>

Strategic Business Model Development in Ecosystems

<p>Designing and strategically developing viable business models is vital for value creation and capture and in turn for the survival and performance of entrepreneurial ventures. However, the widely held firm-centric and static business model perspective appears inadequate to reflect the realities of increasingly blurred industry boundaries, interconnected economies, and the resulting collapse of incumbent value chains. This PhD thesis adds understanding of the dynamic business model development process from an ecosystem perspective. The evolution of ten entrepreneurial ventures’ business models was documented and investigated through longitudinal in-depth case studies over twelve months. Analysing and comparing the cases revealed strategies that resulted in the development of effective interactive structures and robust value co-creation and capture mechanisms. The development of interactive structures, i.e. firm-ecosystem fits, was either supported by a focused or diversified ecosystem integration approach underpinned by heterogeneous interdependencies of value proposition and business model components across ecosystems. The obtained insights allowed the derivation of sets of capabilities that supported the business model development process and enhanced entrepreneurial ventures’ chances of survival. The findings have several implications for advancements of the business model theory. In particular they indicate what integration strategies can inform entrepreneurs’ and managers’ business model design and execution strategies for operating in increasingly complex ecosystems.</p>

Establishment of an Animal Model of Depression: The Serotonin Transporter Knockout Rat

<p>Major depressive disorder (MDD) is a serious and debilitating psychiatric illness found of increasing prevalence. Despite this, our current first line treatments have been shown to lack efficacy and possess a high non-response rate. Most new pharmacological developments have not shown efficacy in humans, likely due to our current models being outdated. This thesis attempts to use a range of novel approaches, integrating behavioural, physiological, and biological methods to provide support for the use of the serotonin transporter knockout (SERT-KO) rat to model components of MDD in humans. Social anhedonia is assessed through conditioned place preference and play behaviour analysis, demonstrating significantly reduced reward sensitivity in SERT-/- animals. Comorbid anxiety is assessed using a modified successive alleys test, whereby SERT-/- animals demonstrate increased anxiety behaviour, which persist over the course of the experiment. The assessment of heart rate variability, a physiological correlate of MDD was impacted by time constraints, however suggests a likely reduction to be present in the SERT-/- animals. Finally, neurogenesis was found to be significantly increased in SERT-/- animals during early development (PND7), demonstrating neurodevelopmental alterations associated with reduced SERT expression. These data demonstrate that the SERT knockout rat possesses many deficits associated with MDD, thus being a likely candidate for novel pharmacological development. A final pilot experiment was conducted using MALDI-TOF to provide a method of examining potentially thousands of compounds in brain and cardiac tissue with high spatial definition. Applications and implication of this research are discussed in detail with suggestions for future studies being presented.</p>