Students, teachers, and other stakeholders concerns regarding group issues in the group work-based exams

Group project that count as final exam has many implications for students and teachers and each of them have their concerns and issues regarding this. To manage the issues our research focus on collecting data related to each stakeholders’ concerns in this context and match them with the goals and objectives of the stakeholders involved

Analytics-Driven Digital Platform for Regional Growth and Development: A Case Study from Norway

In this paper, we present the growth barometer (Vekstbarometer in Norwegian), which is a digital platform that provides the development trends in the regional context in a visual and user-friendly way. The platform is developed to use open data from different sources that is presented mainly in five main groups: goals, premises or prerequisites for growth, industries, growth, and expectations. Furthermore, it also helps to improve decision-making and transparency, as well as provide new knowledge for research and society. The platform uses sensitive and non-sensitive open data. In contrast to other similar digital platforms from Norway, where the data is presented as raw data or with basic level of presentations, our platform is advantageous since it provides a range of options for visualization that makes the statistics more comprehensive.Comment: The Thirteenth International Conference on Digital Society and eGovernments (ICDS 2019

La relación entre el tipo de cambio, los términos de intercambio y el empleo en Turquía

The objective of this paper is to analyze the impact of real exchange rate (RER) on employment and real wage using quarterly disaggregated data (ISIC Rev 4 classification) composed of 19 industries in Turkey from 2010 to 2017. This study employed the Fixed Effect Model, where industry-specific effects are used to control heterogeneity within the industry. The results reflect that currency appreciation negatively affects employment, though insignificant, whereas it has a remarkably positive impact on real wage. Although the terms of trade have no visible impact on employment and real wages, the study uniquely finds that the effects of the larger industries on employment are distinctly adverse. Nevertheless, the interaction between currency appreciation and the top 25 per cent larger industries indicates a moderate increase in employment. The findings reflect that the appreciation of the domestic currency causes employment to decrease at the industry level. The originality of this paper includes the effects of the terms of trade and interaction with currency appreciation in larger industries using the Fixed Effect Model approach.El objetivo de este artículo es analizar el impacto del tipo de cambio real (TCR) en el empleo y el salario real utilizando datos desagregados trimestrales (clasificación ISIC Rev 4) compuestos por 19 industrias en Turquía de 2010 a 2017. Se empleó un modelo de efectos fijos, donde los efectos específicos de la industria se utilizan para controlar la heterogeneidad dentro de aquella. Los resultados reflejan que la apreciación de la moneda afecta negativamente al empleo, aunque de manera insignificante, mientras que tiene un impacto notablemente positivo en el salario real. Aunque los términos de intercambio no tienen un impacto visible en el empleo y los salarios reales, el estudio encuentra de manera única que los efectos de las industrias más grandes en el empleo son claramente adversos. No obstante, la interacción entre la apreciación de la moneda y el 25 % de las principales industrias más grandes indica un aumento moderado del empleo. Los hallazgos reflejan que la apreciación de la moneda nacional hace que el empleo disminuya en la industria. La originalidad de este documento incluye los efectos de los términos de intercambio y la interacción con la apreciación de la moneda en industrias más grandes utilizando el enfoque del modelo de efectos fijos

Parameter estimation of a nonlinear Burger's model using nanoindentation and finite element-based inverse analysis

Nanoindentation involves probing a hard diamond tip into a material, where the load and the displacement experienced by the tip is recorded continuously. This load-displacement data is a direct function of material's innate stress-strain behavior. Thus, theoretically it is possible to extract mechanical properties of a material through nanoindentation. However, due to various nonlinearities associated with nanoindentation the process of interpreting load-displacement data into material properties is difficult. Although, simple elastic behavior can be characterized easily, a method to characterize complicated material behavior such as nonlinear viscoelasticity is still lacking. In this study, a nanoindentation-based material characterization technique is developed to characterize soft materials exhibiting nonlinear viscoelasticity. Nanoindentation experiment was modeled in finite element analysis software (ABAQUS), where a nonlinear viscoelastic behavior was incorporated using user-defined subroutine (UMAT). The model parameters were calibrated using a process called inverse analysis. In this study, a surrogate model-based approach was used for the inverse analysis. The different factors affecting the surrogate model performance are analyzed in order to optimize the performance with respect to the computational cost

IT Students Project Group Work in the Day of COVID-19: Understanding the Impact and Attitudes

COVID-19 pandemic has resulted in disruptive impacts on teaching and learning experience around the world. In a particular context of project-based courses, where students need to interact and collaborate frequently, there appears additional challenges in implementing and learning from projects. Understanding the impact of COVID-19 on project-based courses does not only provide recommendations for preparing such courses in post-pandemic eras, but also has some implications for physical IT projects in industry. We investigated 30 student teams in Spring semester 2020, when COVID-19 measures were applied in the middle of the course. We adopted a mixed-method approach; a bottom-up analysis with a thematic analysis, and a top-down approach with attribution theory. We found that COVID19 measures introduced as external attributions to the course had direct and sudden impact manifestations on individual level, which leads to internal attributions, such as lack of motivation, lack of commitment, realization of usefulness of some online tools, and mental struggle. This creates an indirect impact on team, process and product factors in the course

Dyadic Relationship on Consumer Retention: An Assessment on Telecommunication Sector of Bangladesh

Customer retention is getting attention day by day as well as the new customer generation. Managers are emphasizing more and more on the satisfaction of the existing customer as it makes the firm unbeatable in the complex and competitive business world. This paper deals with the customer retention especially form psychological perspective. Paper mainly focuses on the dyadic relation among the consumers to retain them to survive in the perfect competitive market. To do that, scenarios of telecommunication sector of Bangladesh have been exposed and have been matched with the perception of consumer to reveal an empirical result. Keywords: Psychological aspects, dyadic relation, telecommunication sector, FnF (friends and family), customer support, customer retentio

Evaluation of team dynamic in Norwegian projects for IT students

The need for teaching realistic software development in project courses has increased in a global scale. It has always been challenges in cooperating fast-changing software technologies, development methodologies and teamwork. Moreover, such project courses need to be designed in the connection to existing theoretical courses. We performed a large-scale research on student performance in Software Engineering projects in Norwegian universities. This paper investigates four aspects of team dynamics, which are team reflection, leadership, decision making and task assignment in order to improve student learning. Data was collected from student projects in 4 years at two universities. We found that some leader's characteristics are perceived differently for female and male leaders, including the perception of leaders as skilful workers or visionaries. Leadership is still a challenging aspect to teach, and assigned leadership is probably not the best way to learn. Students is are performing well in task review, however, needs support while performing task assignment. The result also suggests that task management to be done in more fine-grained levels. It is also important to maintain an open and active discussion to facilitate effective group decision makings

Evaluation of lipid profile pattern and atherogenic index of plasma (AIP) having type-2 diabetes mellitus in Bangladesh

Background: Dyslipidemia has been noted to play an integral role in the pathogenesis and progression of micro and macrovascular complications in Diabetes Mellitus (DM) patients. The study was aimed to evaluate the prevalence and pattern of dyslipidemia and atherogenic index of plasma (AIP) in type 2 diabetes mellitus patients as it has not been reported previously in BangladeshMethods: This cross-sectional study was conducted at Armed Forces Institute of pathology, Bangladesh from November 2016 to October 2017. A total number of 300 patients having diabetes in the age group of 30-60 years have been selected using a non-probability method. Fasting plasma glucose (FPG), serum total cholesterol (TC), high density lipoprotein cholesterol (HDL-C), low density lipoprotein cholesterol (LDL-C) and triglyceride (TG) levels were estimated by laboratory tests.Results: The prevalence of dyslipidemia in at least one lipid parameter was found in 282 patients (94%), while 18 patients (6%) had no dyslipidemia. High levels of TC, TG and LDL-C were found in 134 (47.3%), 230 (76.7%) and 124 (41.3%) patients, respectively. On the other hand, low levels of HDL-C were found in 180 patients (60%). An increased risk of AIP was found in 298 patients (99.3%), whereas only 2 patients (0.7%) were in low risk. FPG was positively correlated with TC, TG, LDL-C and AIP, while negatively correlated with HDL-C. A significant positive correlation was also observed between FPG and AIP.Conclusions: The Study revealed that dyslipidemia is very common in type 2 diabetic patients and the most common abnormality observed was increased serum triglyceride levels followed by decreased serum HDL-C levels. The AIP is also significantly higher in type 2 diabetic patients

Influenza in Outpatient ILI Case-Patients in National Hospital-Based Surveillance, Bangladesh, 2007–2008

Recent population-based estimates in a Dhaka low-income community suggest that influenza was prevalent among children. To explore the epidemiology and seasonality of influenza throughout the country and among all age groups, we established nationally representative hospital-based surveillance necessary to guide influenza prevention and control efforts.We conducted influenza-like illness and severe acute respiratory illness sentinel surveillance in 12 hospitals across Bangladesh during May 2007–December 2008. We collected specimens from 3,699 patients, 385 (10%) which were influenza positive by real time RT-PCR. Among the sample-positive patients, 192 (51%) were type A and 188 (49%) were type B. Hemagglutinin subtyping of type A viruses detected 137 (71%) A/H1 and 55 (29%) A/H3, but no A/H5 or other novel influenza strains. The frequency of influenza cases was highest among children aged under 5 years (44%), while the proportions of laboratory confirmed cases was highest among participants aged 11–15 (18%). We applied kriging, a geo-statistical technique, to explore the spatial and temporal spread of influenza and found that, during 2008, influenza was first identified in large port cities and then gradually spread to other parts of the country. We identified a distinct influenza peak during the rainy season (May–September).Our surveillance data confirms that influenza is prevalent throughout Bangladesh, affecting a wide range of ages and causing considerable morbidity and hospital care. A unimodal influenza seasonality may allow Bangladesh to time annual influenza prevention messages and vaccination campaigns to reduce the national influenza burden. To scale-up such national interventions, we need to quantify the national rates of influenza and the economic burden associated with this disease through further studies