To be or not to be in social media: How brand loyalty is affected by social media?

There is an ongoing debate over the activities of brands and companies in social media. Some researchers believe social media provide a unique opportunity for brands to foster their relationships with customers, while others believe the contrary. Taking the perspective of the brand community building plus the brand trust and loyalty literatures, our goal is to show how brand communities based on social media influence elements of the customer centric model (i.e., the relationships among focal customer and brand, product, company, and other customers) and brand loyalty. A survey-based empirical study with 441 respondents was conducted. The results of structural equation modeling show that brand communities established on social media have positive effects on customer/product, customer/brand, customer/company and customer/other customers relationships, which in turn have positive effects on brand trust, and trust has positive effects on brand loyalty. We find that brand trust has a fully mediating role in converting the effects of enhanced relationships in brand community to brand loyalty. The implications for marketing practice and future research are discussed.     

Adaptive output feedback neural network control of uncertain non-affine systems with unknown control direction

This paper deals with the problem of adaptive output feedback neural network controller design for a SISO non-affine nonlinear system. Since in practice all system states are not available in output measurement, an observer is designed to estimate these states. In comparison with the existing approaches, the current method does not require any information about the sign of control gain. In order to handle the unknown sign of the control direction, the Nussbaum-type function is utilized. In order to approximate the unknown nonlinear function, neural network is firstly exploited, and then to compensate the approximation error and external disturbance a robustifying term is employed. The proposed controller is designed based on strict-positive-real (SPR) Lyapunov stability theory to ensure the asymptotic stability of the closed-loop system. Finally, two simulation studies are presented to demonstrate the effectiveness of the developed scheme.     

The Effect of Culture Integrated Language Courses on Foreign Language Education

When examined carefully, it is seen that there is not an available and detailed cttrriculum designed for the aim of foreign language teaching with integrated cultural items of the target language in the programs of the schools under authority of the Ministry of Education and Turkish higher education institutions. In recent years, the specialists have an agreement on the issue that foreign language instruction should be carried out by the means of target language＇s history, literature, geography and also its social characteristics. The idiom ＂it＇s raining cats and dogs＂ can be misinterpreted by a Turkish student without the knowledge of this idiom＇s story in English history as ＂Cats and dogs are pouring down from the sky＂. An important French architectural building ＂Saint Mary Cathedral, Notre Dame de Paris＂ can be misunderstood as ＂Our Parisian Woman＂ by a student who is unfamiliar with French culture. Both examples show that encountered foreign words and phrases can be misunderstood and mostly these words are perceived and interpreted according to learners＇ own cultural figures. The aims of this study are to show the significance of culture-based foreign language courses and to make a contribution to the literature by regarding the views of researchers beheving that culture and language are inseparable concepts. In this context, Erzincan University French Language Teaching Department students＇ opinions on the relation between culture and language learning were received with the application of qualitative structured written response method. Then, document analysis of written comments was evaluated. Consequently, the analysis on the participants＇ written comments showed that a culture integrated foreign language course can make positive contributions to students＇ learning, language learning process and learning environment.     

Developing Seventh Grade Students’ Understanding of Complex Environmental Problems with Systems Tools and Representations: a Quasi-experimental Study

A systems-based classroom intervention on environmental education was designed for seventh grade students; the results were evaluated to see its impact on the development of systems thinking skills and standard science achievement and whether the systems approach is a more effective way to teach environmental issues that are dynamic and complex. A quasi-experimental methodology was used to compare performances of the participants in various dimensions, including systems thinking skills, competence in dynamic environmental problem solving and success in science achievement tests. The same pre-, post- and delayed tests were used with both the comparison and experimental groups in the same public middle school in Istanbul. Classroom activities designed for the comparison group (N = 20) followed the directives of the Science and Technology Curriculum, while the experimental group (N = 22) covered the same subject matter through activities benefiting from systems tools and representations such as behaviour over time graphs, causal loop diagrams, stock-flow structures and hands-on dynamic modelling. After a one-month systems-based instruction, the experimental group demonstrated significantly better systems thinking and dynamic environmental problem solving skills. Achievement in dynamic problem solving was found to be relatively stable over time. However, standard science achievement did not improve at all. This paper focuses on the quantitative analysis of the results, the weaknesses of the curriculum and educational implications.     

Modeling of D-STATCOM in distribution systems load flow

This paper presents modeling of Distribution STATCOM (D-STATCOM) in load flow calculations for the steady- state voltage compensation. An accurate model for D-STATCOM is derived to use in load flow calculations. The rating of this device as well as the direction of required reactive power injection for voltage compensation in the desired value (1 p.u.) is de- rived and discussed analytically and mathematically by the phasor diagram method. Furthermore, an efficient method for node and line identification used in load flow calculations is presented. The validity of the proposed model is examined by using two standard distribution systems consisting of 33 and 69 nodes, respectively. The best location of D-STATCOM for under voltage problem mitigation approach in the distribution networks is determined. The results validate the proposed model for D- STATCOM in large distribution systems.     

Exploring and evaluating differentiated assessment practices of in-service teachers for components of differentiation

Classroom assessment is central to effective teaching and learning, making assessment literacy a core component for teacher education. The present study explores self-reported, differentiated assessment practices of Malaysian in-service teachers. The practices were evaluated using an analytic framework that was developed based upon the existing literature on components of differentiation. Data were collected from 32 in-service teachers using open-ended survey questionnaires. Twelve of the teachers also participated in in-depth interviews. Documents provided by the teachers were also analyzed. Data from the open-ended survey were analyzed using NVivo11 to develop codes for the analytic framework. The findings offer insights into teachers’ knowledge, application, and interpretation of differentiated assessment practices. The discussion explores teachers’ explanations of their own practices and, further, recommends ways to improve knowledge and application of differentiated assessment. The implications of the findings are discussed for assessment literacy-related professional development for teachers, school management and policies to facilitate implementation of differentiated assessment.     

Machine learning-enabled multiplexed microfluidic sensors

High-throughput, cost-effective, and portable devices can enhance the performance of point-of-care tests. Such devices are able to acquire images from samples at a high rate in combination with microfluidic chips in point-of-care applications. However, interpreting and analyzing the large amount of acquired data is not only a labor-intensive and time-consuming process, but also prone to the bias of the user and low accuracy. Integrating machine learning (ML) with the image acquisition capability of smartphones as well as increasing computing power could address the need for high-throughput, accurate, and automatized detection, data processing, and quantification of results. Here, ML-supported diagnostic technologies are presented. These technologies include quantification of colorimetric tests, classification of biological samples (cells and sperms), soft sensors, assay type detection, and recognition of the fluid properties. Challenges regarding the implementation of ML methods, including the required number of data points, image acquisition prerequisites, and execution of data-limited experiments are also discussed.