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The Pandemic of COVID-19 that hit the world hit sales performance in the optical retail sector. This makes management have to adapt to the changes that occur. One of them is to improve service in accordance with customer expectations. The analysis was carried out by internal and external methods. The internal method uses a fishbone diagram while the external method uses Servqual analysis and Importance Performance Matrix. The research method is carried out by observation, literacy studies, Focus Group Discussions, and surveys to 100 respondents who are optical customers. The results showed that customer segmentation, reduced operating hours, incentive schemes, and many customers switching to online sales were the main causes of declining sales. The Empathy dimension has the biggest gap and the priority for service improvement is product price, order lens manufacturing process, product quality, and product warranty service.

The current study aims to identify the level of digital fluency among Al-Aqsa University teaching staff members, and then to reveal its relation to some other variables. This required the researcher to identify the skills of digital dealing with various technological innovations. To achieve the study objectives, the researcher used the descriptive approach constructing a scale for digital fluency skills. The study was applied on a sample of Al-Aqsa university lecturers and professors; their estimated number was (130) teaching staff members who were purposely selected. After implementing the study, the research reached the following: revealing the teaching staff members’ possessions of digital fluency domains which all of them were close to the mean (70%) or slightly over. The relative weights ranged from (65.43%) to (74.81%) for the scale domains and it was (70.32%) for the scales a whole.

Every year, with the increase in the population, there is a high demand for industrial production in India. With Industry 4.0, the doors are open for many new industries to meet the demands of the growing population. Simultaneously, there is a huge expansion of Urban cities with the migrants from Rural backgrounds for education and job requirements. It is a challenge for all the industries (like chemical, polymer, Automobile, pharmaceutical, manufacturing, etc.,) in handling the industrial wastes and poisonous gases. Almost every industry will be following necessary steps, safety measures and precautions like recycling of industrial wastes and using gas detecting sensors for detection of poisonous gases and recording the oxygen levels. But, still, there are quite a few tragic incidents or industrial disasters (minor or major) that occurred due to human errors, for example of Bhopal gas leakage and the recent Vizag Gas leakage incident.  The research of my paper focuses on how to capture the information from the sensors, record the nature and level of Chemical hazardous gases, prediction of the outcome and pass the information alert for safety measures and precautions to be taken using the mobile cloud.

The increasing number of e-grocery start-ups and COVID19 pandemic have accelerated the growth of e-grocery services in Indonesia. In fact, e-grocery adoption is low compared with other e-commerce product categories such as fashion and electronics. Customers are considering some factors including trust, risk, benefit (usefulness) and the level of ease of use before making a decision to shop online grocery. The objective of this study is to determine whether all these factors affect trust and finally the adoption in shopping for grocery products online and whether the Indonesian consumers will return to shopping for grocery products offline after the COVID19 pandemic. This research provided a new perspective by integrating Technology Acceptance Model Approach with trust as the intervening variable. Quantitative research was conducted by distributing questionnaires among the 195 respondents who had used e-grocery/shopping services. All data collection was analyzed using PLS-SEM (Partial Least Square – Structural Equation Model). The results of this study indicate that perceived risks, perceived usefulness, and perceived ease of use have a positive effect on trust. The study proved that trust had a significant effect in the adoption of e-grocery platforms among Indonesian shoppers. The e-grocery platform should offer innovative and consistent products or services to keep their customers buying groceries online even after the COVID-19 pandemic is over especially for the older generation who are more enjoyed buying at the conventional markets.

Nigeria is blessed with abundant natural resources among them are residues from agricultural and forest sources. Since these residues are usually dumped in landfills as waste, constituting environmental and waste disposal problems, the need to utilise them is necessary in achieving the seventh and ninth targets of the Sustainable Development Goals (SDGs) of the United Nations. One of the avenues where agricultural and forest residues can be utilised is through biomass technology. Therefore, this paper assessed the potential conversion of these residues into useful and sustainable electricity generation in Nigeria. In addition, the paper gathers information from a pool of relevant reports on the current state of Nigeria’s power sector and the domestication of some small-scale biomass power plants across the country. In this review paper, it was found that Nigeria is one of the biggest economic power in Africa and has the potential to generate electricity and other bioenergy products from the present stock of biomass available in the country, thereby making the country self-sufficient in the provision of power supply and fuel production.

The purpose of this research is aimed to study the factors affecting the marketing mix and the conservation of animals following the “Save Ralph” campaign. The questionnaire was used for data collection. The data was collected from a sample size of 500 people and was analyzed by using a statistical analysis program (SPSS) using the descriptive statistic method. The modal demographic in the survey are females who are 20 years old or younger in undergraduate programs. The survey also attempted to gain insights into which factors had the most influence in the decision process of purchasing beauty products. Aspects such as marketing mix or efforts taken for animal conservation have been examples of variables that this research paper has taken into account. When asked about factors that affect their decision in buying beauty products, whether it’s a marketing factor or a factor regarding animal conservation after the “Save Ralph “campaign. The results demonstrate that the sample group placed the most emphasis on animal conservation followed by marketing mix, which can be classified into product, price, place, and promotion.

The role of the private sector in industrial research and development (R&D) has increased significantly in developing countries over the past two decades. However, information on the nature of private-sector R&D in agriculture its focus, location, size and output is limited in availability, thus limiting any analysis of the potential risks and opportunities of this growth trend. The aim of this paper is to review the available information on public research institutes, universities, private sector investment in industrial R&D in developing Turkey as a means of contributing to an evaluation. In this study, the project-based industrial R&D studies conducted on Knowledge-Based Bio-Economy (KBBE), Biotechnology, Biodiversity and Genetic Resources by research institutes, universities and the private sector in rapidly-developing Turkey were examined and evaluated.

The research results show that the R&D studies are fully supported in Turkey and that, in this context, the project-based researches are put into practice and transferred to bio-economy through public research institutes, universities private sector and the biotechnology firms, which are the driving force of the bio-economy, operate in the fields of Health and Medicine by 57%, Energy and Environment by 24% and Agriculture and Food by 19%.

Diabetic Retinopathy (DR) is a common problem of diabetes mellitus, which causes lesions on the retina that effect vision. If it is not identified early, it can lead to blindness. Early detection of DR and treatment can significantly reduce the risk of vision loss.  In this paper, Principal component analysis technique is used for selecting the best features and deep neural network is used for classifying the presence and absence of DR.

Improved feature selection methodology for fetal risk data collection defining important features. The aim is to improve the fetal risk prediction rate by using an optimized technique such as GA-SVM for feature selection. Then the selected features are given to various classifiers such as random forest, naïve bayes, multi- layer perceptron and support vector machine for prediction. As a result, the feature selected by optimized feature selection techniques provides higher accuracy, precision and recall when compared to non-optimized techniques.

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