The medication's chemical formula, as well as the covalent and ionic bonding of compounds, can be displayed. The application can retrieve and save information entered by the user on chemical compounds with a high level of security. Furthermore, due to the use of the Internet of Things, the application has an anti-explosives and narcotics property using (IOT).
This program uses a web scraping technique by applied a RESRful API to extract information from websites, which is then sent to the student's account. The purpose of this paper is to develop an educational application for chemistry students at different levels of study that will allow them to obtain precise information on chemical substances in a timely and safe manner. Moreover, repeating this research in different domains or societies would result in society-oriented apps that are more sensitive to users' values.Īs a result of the COVID-19 epidemic, there has been an increase in the demand for electronic education apps in schools and colleges in recent years. It also provides a direction on which values they should address while developing apps. This research provides a basis for the developers to design apps that consider users' values. Our results show that users of the selected apps have twenty one (21) desired individual values where eleven (11) values are reflected in the apps and ten (10) values are missing. We manually analyzed 1522 reviews from 29 existing Bangladeshi agriculture apps in Google Play by following a widely used human values theory, Schwartz's theory of basic human values. With this aim, we conducted a case study to identify the users' desired values that are either reflected or missing in the existing Bangladeshi agriculture mobile apps. Therefore, it is important to consider values in app development to avoid such adverse effects and to secure the optimum use of apps. Limited consideration of users' values in mobile applications (apps) can lead to user disappointments and negative socioeconomic consequences.
to serve as useful information for users. These HTML data are preprocessed to extract details of the products such as name, price, post date and time, etc. In this paper, we applied web crawling and scraping methods on an e-commerce website to obtain HTML data for identifying products updates based on the current time. Furthermore, they need to filter and compare search results by themselves which takes a lot of time and there are chances of ambiguous results. Unfortunately, these desirable benefits are not without drawbacks as these platforms require that the users spend a lot of time and efforts searching for best product deals, products updates and offers on e-commerce websites. This, in turn made the activities and lifestyles of marketers/vendors, retailers and consumers (collectively regarded as users in this paper) easier as it provides convenient platforms to sale/order items through the internet. Today, advancements in Internet technology has given rise to the proliferation of e-commerce websites. The new trend of technology has shaped the way we do and manage our businesses. Websites are regarded as domains of limitless information which anyone and everyone can access.
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