Collecting data using an appropriate sampling technique is a challenging task for a researcher to do. The researchers will be unable to collect data from all possible situations, which will preclude them from answering the study’s research questions in their current form. In light of the enormous number and variety of sampling techniques/methods available, the researcher must be knowledgeable about the differences to select the most appropriate sampling technique/method for the specific study under consideration. In this context, this study also (...) looks into the basic concepts in probability sampling, kinds of probability sampling techniques with their advantages and disadvantages. Social science researchers will benefit from this study since it will assist them in choosing the most suitable probability sampling technique for completing their research smoothly and successfully. (shrink)

Purpose This study aims to analyze how English-language versions of e-newspapers in the first two countries affected, China and Japan, which are non-English-speaking countries and have different socio-economic and political settings, have highlighted Coronavirus disease 2019 pandemic news and informed the global community. Design/methodology/approach A text-mining approach was used to explore experts’ thoughts as published by the two leading English-language newspapers in China and Japan from January to March 2020. This study analyzes the Opinion section, which mainly comprises editorial and (...) the op-ed section. The current study groups all editorial discussions and highlights into ten major aspects, which cover health, economy, politics, culture and others. Findings Within the first three months, the media in both China and Japan shifted their focus from health and preparedness to the economy, politics and social welfare. Governance and social welfare were key concerns in China’s news media, while, in contrast, global politics received the highest level of attention from experts in Japan’s news media. Environment and technologies aspects did not receive much attention by the expert’s columns. Originality/value At the initial stage of a world crisis, how leading nations and initially affected nations deal with the problem, how media play their role and guide mass population with experts’ thoughts are highlighted here. The understanding developed in this study can provide guidance to news media in other countries in playing effective roles in the management of this health crisis and catastrophes. (shrink)

The overall objective of the study was to examine the pros and cons of the participatory approach adopted in natural resource management in the ecologically protected areas of the Sundarbans mangrove of Bangladesh. A comparative study was done between the people who are involved and non-involved in this approach. Empirical data was collected through personal interviews with a structured questionnaire. The Gini coefficient was measured first and then embedded with the Lorenz curve to draw a line between perfect equality and (...) inequality vis-a-vis. The study revealed that the co-management built awareness in favor of biodiversity conservation and the efficient use of natural resources. Contradictorily, a segment of different hierarchical committees was involved in destructive activities like poisoning the wetlands for fishing. Therefore, a mixed outcome was found. The findings will help the policymakers in identifying the pitfalls and bottlenecks rooted in co-management. Hence, the study recommends revising the approach to ensure the community’s active participation on an equal basis and take action against them who degrade those resources. Exploring profitable alternative income-generating activities is warranted to narrow down the dependency on the Sundarbans mangrove’s natural resources. In order to address the tragedy of the commons, the study advocates for the unity of all knowledge ranging from science to humanistic scholarship for sound policymaking. (shrink)

Bioethics is a vital part of a sustainable development. In this paper we discuss why developed country incorporate bioethics along with development of science and technology; and why bioethics decision-making is important to long term development of Bangladesh.

This study investigates whether and how the intensity of social distancing from the Coronavirus disease 2019 (COVID-19) pandemic influences the corporate social responsibility (CSR) disclosure index. An empirical examination is carried out based on data from the Shanghai Stock Exchange from 2020 to 2022. CSR disclosure index is measured by the percentage of CSR-related press releases from the total press releases published on a certain day. The intensity of the COVID-19 pandemic is measured by the daily confirmed cases among the (...) population in China. This research uses the two-stage least squares regression model to alleviate the endogeneity issues. Findings reveal a reverse correlation between the intensity of the COVID-19 pandemic and the CSR disclosure. The results are consistent and robust to endogeneity tests and sensitivity analyses. Findings support the stakeholder–agency theory and indicate that Chinese managers tend to satisfy the shareholders' interests rather than those of other broad stakeholders. Moreover, Chinese managers tend to choose short-term survival rather than long-term development in times of social distancing. (shrink)

During my (Hafiz) childhood in Bangladesh, I experienced the negative impact of the educational system. My experiences initiated a process of conscientization leading to values-driven activism through the establishment of Education for Development and Sustainability (EDS), a child-friendly community of practice, with Trine and Alamin. In encounters with Erling and Sigrid, we became aware that our activities were in accordance with action research based on cooperative inquiry (Heron & Reason, 2008). From that point of departure, we developed our own collaborative (...) living theory. In this paper, we explore the research question “How did we become action researchers and what is our driving force?” by using Stoller’s (1989) autobiographical narrative method to analyse selected, lived experiences. Sharing lived experiences and engaging in activism with each other and the EDS children became the base for our conscientization, radical empiricism and contemplating involvement in EDS. Value based activism can create empathic relations and emotions through shared engagement for social justice and the realization that we create a shared reality. Hence, conducting action research with children/youth is in our experience a key to sustainable development. However, to increase the transparency and validity of our research, we needed to explore how our experiences and actions have influenced our values, emotions and decisions to conduct research, our research topic and the research in itself. Therefore, we have engaged co-researchers and participants to critically question the research practice and made it open for discussion and comments in order to see alternative ways of interpreting situations and processes. (shrink)

Pharmaceutical promotion is a negative influencing force for prescribing. However, very few regulatory initiatives are taken to overcome this unwarranted influence. The present research was conducted in such context with an attempt to review the regulatory documents related to pharmaceutical promotion in Bangladesh including Code of Pharmaceutical Marketing Practices (CPMP), and to compare CPMP with different global guidelines. The studied guidelines demonstrate effort to regulate promotion, though that varies to a great extent, particularly in enforcement aspects. Clearly defined ethical and (...) legal prohibitions, provisions of punishment for violations and entrusted agency with defined authority are crucial. (shrink)

One of the challenging problems in large scale cyber-argumentation platforms is that users often engage and focus only on a few issues and leave other issues under-discussed and under-acknowledged. This kind of non-uniform participation obstructs the argumentation analysis models to retrieve collective intelligence from the underlying discussion. To resolve this problem, we developed an innovative opinion prediction model for a multi-issue cyber-argumentation environment. Our model predicts users’ opinions on the non-participated issues from similar users’ opinions on related issues using intelligent (...) argumentation techniques and a collaborative filtering method. Based on our detailed experimental results on an empirical dataset collected using our cyber-argumentation platform, our model is 21.7% more accurate, handles data sparsity better than other popular opinion prediction methods. Our model can also predict opinions on multiple issues simultaneously with reasonable accuracy. Contrary to existing opinion prediction models, which only predict whether a user agrees on an issue, our model predicts how much a user agrees on the issue. To our knowledge, this is the first research to attempt multi-issue opinion prediction with the partial agreement in the cyber-argumentation platform. With additional data on non-participated issues, our opinion prediction model can help the collective intelligence analysis models to analyze social phenomena more effectively and accurately in the cyber argumentation platform. (shrink)

Adaptive training adjusts a training task with the goal of improving learning outcomes. Adaptive training has been shown to improve human performance in attention, working memory capacity, and motor control tasks. Additionally, correlations have been observed between neural EEG spectral features (4–13 Hz) and the performance of some cognitive tasks. This relationship suggests some EEG features may be useful in adaptive training regimens. Here, we anticipated that adding a neural measure into a behavioral-based adaptive training system would improve human performance (...) on a subsequent transfer task. We designed, developed, and conducted a between-subjects study of 44 participants comparing three training regimens: Single Item Fixed Difficulty (SIFD), Behaviorally Adaptive Training (BAT), and Combined Adaptive Training (CAT) using both behavioral and EEG measures. Results showed a statistically significant transfer task performance advantage of the CAT-based system relative to SIFD and BAT systems of 6 and 9 percentage points, respectively. Our research shows a promising pathway for designing closed-loop BCI systems based on both users' behavioral performance and neural signals for augmenting human performance. (shrink)

The most prominent form of human communication and interaction is speech. It plays an indispensable role for expressing emotions, motivating, guiding, and cheering. An ill-intentioned speech can mislead people, societies, and even a nation. A misguided speech can trigger social controversy and can result in violent activities. Every day, there are a lot of speeches being delivered around the world, which are quite impractical to inspect manually. In order to prevent any vicious action resulting from any misguided speech, the development (...) of an automatic system that can efficiently detect suspicious speech has become imperative. In this study, we have presented a framework for acquisition of speech along with the location of the speaker, converting the speeches into texts and, finally, we have proposed a system based on long short-term memory which is a variant of recurrent neural network to classify speeches into suspicious and nonsuspicious. We have considered speeches of Bangla language and developed our own dataset that contains about 5000 suspicious and nonsuspicious samples for training and validating our model. A comparative analysis of accuracy among other machine learning algorithms such as logistic regression, SVM, KNN, Naive Bayes, and decision tree is performed in order to evaluate the effectiveness of the system. The experimental results show that our proposed deep learning-based model provides the highest accuracy compared to other algorithms. (shrink)