Search results

There is an urgent need to develop climate-smart agrosystems capable of mitigating climate change and adapting to its effects. Conventional agricultural practices prevail in Mauritius, whereby synthetic chemical fertilizers, pesticides and insecticides are used. It should be noted that Mauritius remains a net-food importing developing country of staple food such as cereals and products, roots and tubers, pulses, oil crops, vegetables, fruits and meat (FAO, 2011). In Mauritius, the agricultural sector faces extreme weather conditions like drought or heavy rainfall. Moreover, to increase the crop yields, farmers tend to use 2.5 times the prescribed amount of fertilizers in their fields. These excess fertilizers are washed away during heavy rainfall and contaminate lakes and river waters. By using smart irrigation and fertilization system, a better management of soil water reserves for improved agricultural production can be implemented. Soil Nitrogen, Phosphorus and Potassium (NPK) content, humidity, pH, conductivity and moisture data can be monitored through the cloud platform. The data will be processed at the level of the cloud and an appropriate mix of NPK and irrigation will be used to optimise the growth of the crops. Machine learning algorithms will be used for the control of the land drainage, fertilization and irrigation systems and real time data will be available through a mobile application for the whole system. This will contribute towards the Sustainable Development Goals (SDGs): 2 (Zero Hunger), 11 (Sustainable cities and communities), 12 (Responsible consumption and production) and 15 (Life on Land). With this project, the yield of crops will be boosted, thus reducing the hunger rate (SDG 2). On top of that, this will encourage farmers to collect the waters and reduce fertilizer consumption thereafter sustaining the quality of the soil on which they are cultivating the crops, thereby increasing their yields (SDG 15).

This chapter conceptualises a link between Industrial Revolution 4.0 (IR 4.0), big data, data science and sustainable tourism.

The author adopts a grounded theory and conceptual approach to endeavour in this exploratory research.

The outcome shows a significant rise of big data in the tourism sector under three major dimensions, i.e. business, governance and research. And, some exemplary evidence of institutions promoting the use of big data and data science for sustainable tourism has been discussed.

The conceptualised interlinkage of concepts like IR 4.0, big data, data science and sustainable development provides a valuable knowledge resource to policy-makers, researchers, businesses and students.

The authors examine the impact of CEO generalist experience on firm performance. Using 522 listed firms in Indonesia for the period 2010–2018, the authors find that the generalist CEO is negatively associated with firm performance. Generalist CEOs tend to experience ambiguity in adjustments in the new environment. In order to decrease the impact of a generalist CEO, our empirical evidence finds that CEO tenure does not significantly moderate the association between the two. This is because generalist CEOs with longer tenure tend to avoid changing strategies, and therefore the negative impact of CEO generalist is not altered. The results of this study provide suggestions for the firm in the developing country to appoint a CEO with generalist experience.

A zero-day vulnerability is a complimentary ticket to the attackers for gaining entry into the network. Thus, there is necessity to device appropriate threat detection systems and establish an innovative and safe solution that prevents unauthorised intrusions for defending various components of cybersecurity. We present a survey of recent Intrusion Detection Systems (IDS) in detecting zero-day vulnerabilities based on the following dimensions: types of cyber-attacks, datasets used and kinds of network detection systems.

Purpose: The study focuses on presenting an exhaustive review on the effectiveness of the recent IDS with respect to zero-day vulnerabilities.

Methodology: Systematic exploration was done at the IEEE, Elsevier, Springer, RAID, ESCORICS, Google Scholar, and other relevant platforms of studies published in English between 2015 and 2021 using keywords and combinations of relevant terms.

Findings: It is possible to train IDS for zero-day attacks. The existing IDS have strengths that make them capable of effective detection against zero-day attacks. However, they display certain limitations that reduce their credibility. Novel strategies like deep learning, machine learning, fuzzing technique, runtime verification technique, and Hidden Markov Models can be used to design IDS to detect malicious traffic.

Implication: This paper explored and highlighted the advantages and limitations of existing IDS enabling the selection of best possible IDS to protect the system. Moreover, the comparison between signature-based and anomaly-based IDS exemplifies that one viable approach to accurately detect the zero-day vulnerabilities would be the integration of hybrid mechanism.

Recent decades have shown a great increase in online and blended learning and teaching practices in higher education. The purpose of this book chapter is to explore and assess the existing literature on best practices in online and hybrid teaching and learning in the field of health education/promotion. Additionally, emerging practices Post-COVID-19 related to online and hybrid teaching as applicable to the field of health education/promotion were also explored.

In order to collect the materials for the study, a Boolean search of CINAHL, MEDLINE, and ERIC, Education Research Complete databases was carried out using the terms and headings such as “online teaching,” “hybrid teaching,” “health education,” “health promotion,” and “public health” for the time period 2010–2020. The criteria for inclusion of the studies were: (1) publication in English language, (2) full-text peer-reviewed publications between 2010 and 2020, and (3) location of studies anywhere in the world Exclusion criteria were publications in languages other than English and studies published prior to 2010. Using the key terms “online teaching” and “public health” yielded 10 results and “online teaching” and “health education” yielded 19 results. This review highlighted the scant published literature (as gauged by studies published in the last decade) on efficacy and application of online and hybrid teaching and learning in the field of health education/promotion.

We encourage health education professionals to conduct experimental and quasi-experimental studies for assessing efficacy of online and hybrid teaching and learning particularly using evidence-based frameworks such as Quality Matters (QM) or Online Learning Consortium (OLC) quality scorecard as mentioned earlier.