American Scientific Research Journal for Engineering, Technology, and Sciences (ASRJETS)
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Corpoworld: An Imaginative Essay to Address One of the Great Problems of Our Time
Get PDFLiberalism [ ] has exhausted - or is exhausting- its ability to rally the majorities around its promise of value. The undersigned does not identify an alternative model with enough attractiveness. So, he understands it would be valuable to seek ways to reform it and a mechanism that can ensure a transition - from its current condition to a superior one - as short and amicable as possible. The work that follows describes a reformist proposal for regulated capitalism, which avoiding altering its main foundations could correct the negative externalities [ ] that it in practice spills over society. And it exposes in an addendum a representative formal milestone of the proposed approach
Access Instruction to Digital Edge (AIDE): Technology Resources and Keying its Adoption to Teaching
Get PDFInstitution of learning encompassing pool of individuals, who are considered as spring of knowledge-the teachers; and knowledge catching vessel-the students, were the main respondents of the study. Frequencies, percentages, ranks and weighted means were used for the descriptive data, while the Pearson Product Moment Correlation was used to determine the significant relationship between the level of technology adoption of faculty and their profile variables and attitudes towards technology use in teaching. A total of two hundred sixty-six (266) faculty and three hundred ninety-five (395) students were involved. Findings revealed that the university invested huge amount for educational technology use, but there’s little of evidence in ICT adoption and use in instruction. ICT characteristics of faculty presented that there’s a need for them to be aware of their attitude toward ICT integration in their teaching because it is fundamental for it can make education logical, efficient, effective and interesting. Also, training on designing instructional material should be extended to them specifically workshops on word processing for their syllabi, assessment paper, reports, spreadsheet application, presentation design which is necessary during their research presentation, desktop publishing, internet technology, adobe photoshop and trouble shooting. For an avenue to effectively use technology in instruction daily activity of faculty, the university extension department in collaboration with the knowledge technology management should design then, a program that would assess the technology training needs of faculty to give way for the development of a regular training activity to non-IT faculty
How Privacy-Enhanced Technologies (Pets) are Transforming Digital Healthcare Delivery
Get PDFPrivacy Enhancing Technologies (PETs) are playing a crucial role in maturing digital healthcare delivery for mainstream adaption from both a social and regulatory perspective. Different PETs are improving different aspects of digital healthcare delivery, and we have chosen seven of them to observe in the context of their influence on digital healthcare and their use cases. Homomorphic encryption can provide data security when healthcare data is being collected from individuals via IoT or IoMT devices. It’s also a key facilitator for large-scale healthcare data pooling from multiple sources for analytics without compromising privacy. Secure Multi-Party Computation (SMPC) facilitates safe data transfer between patients and healthcare professionals, and other relevant entities. Generative Adversarial Networks (GANs) can be used to generate larger data sets from smaller training data sets directly obtained from the patients, to train AI and ML algorithms. Differential Privacy (DP) focuses on combining multiple data sets for collective or individual processing without compromising privacy. However, its addition of noise to obscure data has some technical limitations. Zero-Knowledge Proof (ZKP) can facilitate safe verifications/validation protocols to establish connections between healthcare devices without straining their hardware capacities. Federated learning leans quite heavily towards training AI/ML algorithms on multiple data sets without margining or compromising the privacy of the constituents of any dataset. Obfuscation can be used in different stages of healthcare delivery to obscure healthcare data.
RS4AAL: A Process for Specifying and Analyzing Non-Functional Requirements in Ambient Assisted Living Systems
Get PDFContext: The increasing life expectancy of the world’s population is a reality, and combined with sharply declining birth rates, these advances in life expectancy could lead to a rapidly aging population around the world. Technologies such as Ambient Assisted Living (AAL) can provide services that enable older people to live independently, safely and healthily. During system development, it is important to ensure good specification of Non-Functional Requirements (NFR). These are requirements that define how the system will behave in certain situations and may impact the end goal of the software if not considered during the analysis and development of the project. Aims: To meet and identify all the needs and functions provided to the users of the system, this article provides a process for specifying and analyzing nonfunctional requirements in Ambient Assisted Living, called RS4AAL, which helps the requirements engineer to specify and analyze the important requirements in the development of this system by capturing the requirements with techniques such as storytelling, reuse, and legal requirements. Results: Based on systematic mapping, key nonfunctional requirements for the Health and Care in Life subdomain were identified, as well as some legal requirements that may impact system development. Conclusions: A key finding is that the personal context of older people, legal requirements such as ISO/PRF TS 823042, and AAL Guidelines for Ethics, Data Privacy and Security directly affect the specification of non-functional requirements and the design of systems. The RS4AAL helps with this mapping by showing the requirements engineer what to consider when designing AAL systems
Analysis and Performance Evaluation of Counter Flow Hairpin Heat Exchangers
Get PDFAmong a variety of heat exchanger types and configurations, hairpin heat exchangers are widely used in engineering processes, especially in chemical and petrochemical industries. They have several operating advantages, such as flexibility and ease of maintenance. The aim of this work is to develop a computer program that is able to evaluate and predict the performance of counter-flow hairpin heat exchangers under different flow conditions. The mathematical framework for thermal and hydraulic calculations is introduced. The developed MATLAB code has been tested for reliability and accuracy against some of the available and approved designs of single-finned tube and bare multi-tube hairpin heat exchangers. Then, it was successfully applied to analyze existing hairpin heat exchangers operating in Alsarir oil field and the Tubrok oil refinery of Arabian Gulf Oil Company (AGOCO) in Libya as case studies. The results show that by changing the operating conditions such as mass flow rates or inlet temperatures of working fluids, the thermal performance of hairpin heat exchangers can be enormously improved without exceeding the allowable pressure drop
An Empirical Analysis of the Effect of Foreign Direct Investment on Economic Growth in Eswatini
Get PDFThis study examined the effect of foreign direct investment (FDI) on economic growth in Eswatini over the period 1980-2018, using the autoregressive distributed lag (ARDL) bounds testing approach to cointegration and error correction model (ECM). The study showed that 59.3% of the annual variation in GDP was jointly explained by the variables included in the model. Foreign direct investment (p<0.01) and labour (p<0.01) have positive effect on economic growth, while domestic investment (p<0.05) and trade openness (p<0.01) have negative effect on economic growth in the long run. In the short run, economic growth is positively influenced by foreign direct investment (p<0.01) and negatively influenced by domestic investment (p<0.01). The study recommends that government should adopt measures that will help attract more FDI. The government should thus continue improving the investment climate through accelerating implementation of the reforms to investor roadmap to remove restrictions to FDI. The government should promote policies intended for human capital formation and skills development to enhance absorptive capacity and productivity. There is need for government to invest in building domestic manufacturing capabilities with a view to fast-tracking the country’s transition towards industrialization, bolster export diversification and enhance international competitiveness
Construction of Alternative Axial Points Using Standard Axial Points of Central Composite Design
Get PDFThere has been an over-flogged attention given to propositions on how one can make good choice of the existing axial points rather than procedural techniques for constructing axial points about the existing axial points. In order to curb this oversight, this work has constructed axial points about the standard axial points. The construction has given rise to * = 0.99k (where k is the number of factors) in comparison to the standard axial points = (where f is the number of factorial points). Both axial points have been implemented on a central composite design used for maximizing a four-factor process. The constructed axial points produced yields of about 87.211%, better than the yield of 87.187% produced by the standard axial points. Furthermore, the central composite design resulting from the constructed axial points satisfied the D-, A- and E-optimality criteria in comparison to that obtained from the standard or existing axial points
Green Management in SMEs of Bangladesh: Present Scenario, Implementation Obstacles and Policy Options
Get PDF‘Be green’ is a global slogan today. It is necessary to protect our mother planet Earth from the unabated destructive economic activities that put everything here under the threat of extinction. Management of all organizations should be aware of ‘Save the Earth’ movement and be restrain from all activities damaging to the Earth. Small and Medium Enterprises (SMEs) in manufacturing and service industries occupy a major share of the economic activities in every country. In Bangladesh, SMEs account for about 45 percent of manufacturing value addition, about 80 percent of industrial employment, about 90 percent of total industrial units and about 25 percent of the labour force. The total forest in Bangladesh is 17.5% and the deforestation rate is 0.18%. Therefore, SME sector in Bangladesh should undertake the green management and measures to be green to contribute to the efforts of keeping the country green as well as keeping the Earth green. Unconcerned and reckless economic activities caused much damage to our water, forest, air, and other sides of human living and environment. The research is undertaken to know how far the owners/owner-managers of SMEs have executed green management issues, what obstacles they face and what policy and operational measures to be taken to implement green management. Green management refers to the production of goods or generation of services by using such strategies, technologies and workplace practices that aims at reducing industrial waste, minimizing pollution, recycling wastes, doing paperless operations, and producing environmental friendly products and services. The outcomes are obvious- preservation of the natural conditions of the Earth, protection of consumers /end users of the product and the employees of the firm from any kind of injuries caused by the process or by the products, and building image and economic gain for the organization.
Green management is the continuous application of an integrated preventative environmental strategy in production and marketing processes to reduce risks to human and the environment. Under these circumstances, every productive organization shall have to take numerous measures to produce green products for the protection of people and the Earth from physical hazards. SME sector, being the largest productive sector in Bangladesh, shall perform its business operations maintaining sustainable green policies and actions. No study has so far been done in Bangladesh in this area of ‘Green management in SMEs ‘. So, this would be the pioneer study. This is an exploratory research. The study is based on primary data. Primary data are collected by a set of questionnaire with dichotomous questions from the owner-managers /managers of 120 SMEs. Simple statistical methods have been used to analyze and interpret data. The result of the study shows that very small number of SMEs are becoming aware of and taking action to keep our Earth green. Therefore, positive motivational measures shall have to be taken to encourage them towards green management by the government and business owners as well as good business forum of Bangladesh. 
Impact of Nutrition Education on Knowledge, Attitude, and Practices of School-Going Adolescents of Public and Private Schools Regarding Healthy Lifestyle
Get PDFBackground Nutrition plays an important role in the development of people and in the prevention of disease. Nutrition education is an essential element of health awareness.
Objective The study is aimed to assess the impact of nutrition education on the lifestyle of school-age adolescents and to compare the impact of nutrition education on the lifestyle of female adolescents among private and public schools.
Methodology A quasi-experimental study was conducted on 108 female adolescents by using a cluster sampling technique. 54 students of ages between 10-15 years old were selected from private school, and 54 students of ages between 10-15 years old were from government school. The study duration was 6 weeks. A self-constructed pre-test questionnaire was filled by the participants. Nutrition education was given to students in the time period of 4 weeks. Lectures and brochures were developed and delivered to the students. Quizzes were taken for the evaluation and a better understanding of the respective lecture. Visual display on different parameters of a healthy lifestyle was shown on a projector. Post-test questionnaires were filled 1 week after giving 11 lectures on a healthy lifestyle.
Results Results showed that there were significant associations between knowledge, attitude, and practices of government and private school (p=0.001), (p=0.005) and (p=0.001). There was a significant association (p=0.001) between pre and post knowledge, attitudes, and practices of school students. Conclusions: Lack of knowledge was the reason for inappropriate dietary habits and poor lifestyle among school-going female adolescents. Positive modifications regarding lifestyle activities had a significant association with nutrition education among school-going female adolescents
Systematic Literature Review on the Machine Learning Approach in Software Engineering
Get PDFThe application of machine learning solutions in software engineering tools and processes can bring significant benefits to software engineering processes, as well as to processes results analysis. There are few primary, secondary, and tertiary studies referring to machine learning applications in software engineering. The apparent scarcity of this type of research makes it difficult to develop specific solutions for software engineering areas and processes. Thus, it is necessary to investigate and understand how the use of machine learning in software engineering is reported in the literature. This work aims to carry out a systematic literature review on the machine learning approach in software engineering. The search strategy resulted in 1725 articles, of which 54 articles were about empirical studies. The studies were grouped into four themes: the main machine learning algorithms and/or frameworks applied in software engineering; the software engineering activities in which these algorithms and/or machine learning frameworks are applied; the main types of application of these algorithms and/or frameworks; and the main results obtained with the application of these algorithms and/or frameworks. The results obtained indicate that the following algorithms are used: Support Vector Machine, Random Forest, Decision Tree and Naive Bayes and applied mainly in software testing and planning activities. Defect prediction and effort estimation are the main types of application of these algorithms and improvement in performance and accuracy of defect prediction and cost reduction are the main results obtained with the application of these algorithms in software engineering