Hypertext Markup Language Research Articles

PDBrt: A free database of complexes with measured drug-target residence time

Background: Difficulties in translating the in vitro potency determined by cellular assays into in vivo efficacy in living organisms complicates the design and development of drugs. However, the residence time of a drug in its molecular target is becoming a key parameter in the design and optimization of new drugs, as recent studies show that residence time can reliably predict drug efficacy in vivo. Experimental approaches to binding kinetics and target ligand complex solutions are currently available, but known bioinformatics databases do not usually report information about the ligand residence time in its molecular target. Methods: To extend existing databases we developed the Protein Data Bank (PDB) residence time database (PDBrt) which reports drug residence time. The database is implemented as an open access web-based tool. The front end uses Bootstrap with Hypertext Markup Language (HTML), jQuery for the interface and 3Dmol.js to visualize the complexes. The server-side code uses Python web application framework, Django Rest Framework and backend database PostgreSQL. Results: The PDBrt database is a free, non-commercial repository for 3D protein-ligand complex data, including the measured ligand residence time inside the binding pocket of the specific biological macromolecules as deposited in The Protein Data Bank. The PDBrt database contains information about both the protein and the ligand separately, as well as the protein-ligand complex, binding kinetics, and time of the ligand residence inside the protein binding site. Availability: https://pdbrt.polsl.pl

Enhanced CRNN-Based Optimal Web Page Classification and Improved Tunicate Swarm Algorithm-Based Re-Ranking

The main intention of this paper is to develop a new intelligent framework for web page classification and re-ranking. The two main phases of the proposed model are (a) classification, and (b) re-ranking-based retrieval. In the classification phase, pre-processing is initially performed, which follows the steps like HTML (Hyper Text Markup Language) tag removal, punctuation marks removal, stop words removal, and stemming. After pre-processing, word to vector formation is done and then, feature extraction is performed by Principle Component Analysis (PCA). From this, optimal feature selection is accomplished, which is the important process for the accurate classification of web pages. Web pages contain several features, which reduces the classification accuracy. Here, the adoption of a new meta-heuristic algorithm termed Opposition based-Tunicate Swarm Algorithm (O-TSA) is employed to perform the optimal feature selection. Finally, the selected features are subjected to the Enhanced Convolutional-Recurrent Neural Network (E-CRNN) for accurate web page classification with enhancement based on O-TSA. The outcome of this phase is the categorization of different web page classes. In the second phase, the re-ranking is involved utilizing the O-TSA, which derives the objective function based on similarity function (correlation) for URL matching, which results in optimal re-ranking of web pages for retrieval. Thus, the proposed method yields better classification and re-ranking performance and reduce space requirements and search time in the web documents compared with the existing methods.

Application of machine learning in cement price prediction through a web-based system

Cement is one of the most common building materials in the construction industry. Simultaneously, its price fluctuation can affect the success or failure of the construction project's performance. The study aimed to develop a web-based platform that uses machine learning algorithms on historical data of cement prices, petrol prices, diesel prices, interest rate, and exchange rate to predict future prices of cement products. The web-based learning platform was developed using hypertext markup language (HTML), cascading style sheet (CSS), MySQL, and hypertext preprocessor (PHP). For building a reliable machine learning model, python language was used to train the system. The front end, the back end, and the machine learning model were integrated with a flask python framework. A system block diagram was designed to show the web-based learning platform's interfaces. The web-based learning platform's system implementation led to the login page, the home page, database page, and cement price analytics interface. In training the machine learning model to make reliable cement price predictions, the study obtained an 80% fitted model in the linear regression. The web-based machine learning platform was able to predict the prices of cement. The rationale behind the machine learning prediction shown by the scatter plot diagram revealed that the cement increases by 250 naira biannually.

Design and development of IoT and demerit score based system to assess fresh fish quality

FISHQCheQ, a non-destructive and cost-effective web based software system has been designed and developed to assess the quality of fresh fish. The developed system works in online platform using internet of things (IoT) and enable consumers/stakeholders for spot quality evaluation of fish in a real time manner. The system uses a demerit score on five general quality characteristics of fish viz., appearance of fish, fish eyes, gills, belly and vent, which were integrated using Hypertext Markup Language (HTML) and Cascading Style Sheets (CSS) to evaluate the quality of fish. A modified algorithm has been incorporated for computing the fish quality index using HTML and Javascript. The user can assess the quality of fish based on five general and their sub-quality characteristics on a demerit scale score and the system automatically calculates the fish quality index score in the range of 0 to 1 with a quality description as output. The quality index score in the range of 0 to 1 represents excellent to worse quality of fish. The developed IoT-based system was validated with real time storage data of Indian oilsardine and tilapia. Keywords: Consumer perception, Fish quality, Fish storage, HTML, Javascript

Web-based statement of result verification system for Federal Polytechnic, Mubi

Over the years there has been a continuous request by Organizations Academic Institutions, Recruiters and Employers to verify graduated students' statements of results from Federal Polytechnic, Mubi. This occurs as a result of the delay in issuance of Certificates which are expected to be ready after three years of Student graduation as it is obtainable by other Institutions in the country. This issue is causing Organizations, Institutions and the Polytechnic time and resources over the years. This paper aims to design an online result verification system that will provide easy, fast and real-time verification of student Statements of the result. This system of verifying students' results will reduce the level of result forgery, ease the stress on the Polytechnic and reduce verification time which is done by physical document verification. The current system requires an employer or anybody concerned to send a representative to the Exams and Record Unit of the Polytechnic to verify a particular statement of result which takes a long time and is not cost-effective. This paper designed and implemented a proposed Web Base Statement of Result Verification System using Hypertext Markup Language (HTML), Cascading Style Sheets (CSS), JavaScript, Hypertext Preprocessor (PHP), MySQL Database and Windows, Apache, MySQL, and PHP (WAMP) Server. Unified Modeling Language (UML) Diagrams and System Architecture were designed for the proposed system. The proposed system was designed to process student results with an embedded Quick Response (QR) code and a Result Verification Code (RVC) which will help organizations to verify students’ statements of results in real-time. This system could be integrated into an already existing institution's official portal.

A Token-based Attendance Management System: A Cheaper and Alternative Means to Managing Records of Lecture Attendance

Keeping track of students’ lecture attendance is important as it provides the basis for enforcing the policy of having prerequisite minimum attendance to qualify for examinations. It is equally important to the parents/guardian of the students as they will be in the know of whether or not their wards have been attending lectures or not. However, taking accurate records of student attendance manually can be tedious. Similarly, deploying attendance machines can be costly. To this end, this paper proposes designing and implementing a token-based attendance management system as an affordable and alternative approach to managing students’ attendance. In the new system, a lecturer simply counts the number of students present in a lecture session and hands them tokens. The students use the tokens to mark their presence. The system was implemented using Hypertext Markup Language, Twitter Bootstrap, JavaScript, Hypertext Preprocessor, and MySQL. The system was deployed and put to use at Al-Qalam University Katsina. The implication of practice is that the software can be replicated, deployed and used in any academic institution.

Perancangan Aplikasi E-commerce Penjualan Bubuk Kopi Dengan Metode Customer Satisfaction Index (CSI) Berbasis Website Pada UD. Tanpak Sidikalang

The development of e-commerce at this time is increasingly rapidly marked by the increasing number of internet users in Indonesia. The conventional buying and selling process is still widely used in the era of increasingly rapid development of internet technology. However, the conventional buying and selling process is considered inefficient because it requires sellers and buyers to meet directly and also the sales coverage is felt to be less broad, so an efficient sales media is needed and has a broad coverage. So that these problems are not sustainable, an e-commerce website with a business to customer model will be built. The built e-commerce will provide a questionnaire page for customers which will later be implemented by the customer satisfaction index (CSI) method which produces a customer satisfaction index for the e-commerce that has been built. For software development, using PHP (Pear Hypertext Preprocessor) and HTML (HyperText Markup Language) as programming languages, MySQL as database server, Sublime Text 3 as programming support tools

Open-source code to convert Journal Article Tag Suite Extensible Markup Language (JATS XML) to various viewers and other XML types for scholarly journal publishing

There are many ways to use open source code to implement digital standards for scholarly journal publishing. However, providing digital services using open-source code can be a challenge, especially for small and local academic society journals. This paper provides some critical examples of using some of the many open-source code resources available to the public. Journal Article Tag Suite (JATS) Extensible Markup Language (XML) has been established as an essential tool, and is now used by most journals for digital publication. JATS XML can be converted to other viewer formats, including Extensible Hypertext Markup Language, PubReader, and EPUB 3.0. It can also be used to create dynamic interactive PDFs. It can be converted to other XMLs, incluing Crossref XML, PubMed XML, and DOAJ XML. Open-source code published on GitHub, National Information Standards Organization, and the US National Library of Medicine can be used for Crossref XML deposition for digital object identifier and Crossmark stamp registration. These examples of open-source code need to be implemented on journal websites to provide local academic journal publishers with various critical functions. This paper provides instructions on the best ways to realize these digital standards so that journal content can be provided to readers in a more friendly and effective way.

COVID-19 Host GenomeDB: A Comprehensive Database Related to COVID-19 Host Genetics

The world is currently faced with a pandemic of coronavirus disease 2019 (COVID-19). Several genome-wide and exome-wide studies (GWAS and EWAS) have been performed to identify the variability in the host genetic constitution that likely underlines the inter-individual variabilities in COVID-19 severity and clinical manifestation. Due to the magnitude of the articles available, creating a list of host-specific genetic variants and genes associated with COVID-19 can be both time-consuming and extremely challenging for COVID-19 researchers. To this end, the COVID-19 Host Genome database was built. This is currently the only dedicated, free-to-use database that deals solely with COVID-19 host-specific genetic variants and genes. HyperText Markup language (HTML), Cascading Style Sheets (CSS), Hypertext Preprocessor (PHP), and My Structured Query Language (MySQL) server (version 5.7.38) were used to develop the website, storage, and extraction of the data. So far, 787 genetic variants from 63 previously published articles were collected. The tabular data are hyperlinked to the original articles and the users can download all data from the database. COVID-19 Host GenomeDB is being revised constantly every month, and can benefit the research community studying the genetic variants to improve COVID-19 treatment and prevention strategies.

Implementation of Natural Feature Tracking in Eclipse Applications Using Augmented Reality

An eclipse is a phenomenon that occurs when a celestial body moves into the shadow of another celestial body, be it a solar eclipse or a lunar eclipse. In the process of understanding this phenomenon, people do not understand what is meant by the eclipse phenomenon. Because of this, we need a teaching aid to help us understand the material. 
 The application will apply Augmented Reality technology using the Natural Feature Tracking (NFT) method. The application in this research will be made in the form of a native website. With python 3.7.0 64-bit programming language using the IDE (integrated development engineer), namely Visual Studio Code. This application will take advantage of the flask frameworks. This website will be native. Application implementation using native website templates with HTML (Hypertext Markup Language), CSS (Cascading Style Sheets), and Javascript. This application will be intended for a platform website resolution of 16:9 with a breakdown of 1920 x 1080 pixels. However, this ratio will be able to adjust because it applies the bootstrap 4 framework. From some tests conducted, the percentage of accuracy of the percentage of 3D object appearance is 52% on objects performing in the correct position, 34% on objects performing in the wrong position, and 10.67% on objects not appearing. In terms of functions, it has been running and meets the requirements with black box testing with 100% accuracy which is carried out based on 9 functions in the use case diagram.

Development and Evaluation of a Web-Based and Interactive Flood Management Tool for Awash and Omo-Gibe Basins, Ethiopia

Flood risk management is used to monitor floodwater and mitigate flooding that impacts people, properties and infrastructures, and the environment. This study developed an interactive web-based “flood tool” for Awash and Omo-Gibe basins in Ethiopia to improve the flood monitoring services and facilities. The data used were real-time and seasonal rainfall-runoff forecasts, flood inundations, and other forecast products for the 2021 flood season (June to September) in a case study. Methods used were multiple scripts written in the Hypertext Markup Language (HTML) and the Visual Studio Code as a coding environment. The coefficient-of-determination (R2) and efficiency (NSE) were used to evaluate the forecast products. The R2 values for selected river stations were the Awash-Hombole (0.79), Mojo (0.64), Awash-7 (0.66), Awash-Adaitu (0.62), Gibe-Tolai (0.78), and Gibe-Abelti (0.70) rivers. The R2 values for Koka and Gibe-3 reservoirs inflows (water levels) forecasts were 0.97 (0.96) and 0.93 (0.99), and the NSE values were 0.89 (0.88) and 0.92 (0.95) for each reservoir, respectively. Besides, the flood inundation extents (km2) from satellite observation and model were compared for the main flood-prone areas and in agreement with very good performance. The flood tool can therefore present early warning forecast products and convey advice to decision-makers to take action for the people at risk.

Chat network study and design using HTML and PHP web programming

Chat rooms becoming a part of human life, from sharing and exchanging information such as texts, pictures and messages. Many begin to share the latest news and images related to news in the media field as well as chat messaging in the Internet and targeting customers in business, jokes, music and video in the entertainment field. In this paper a chat web site are designed using Hyper Text Markup language (HTML) and Personal Home Page (PHP) web programming languages with security and authentication features added to it to keep user privacy and personal information unattached, and Apache http server are used to test it.

Weather Forecasting in Python Django with Machine Learning

Abstract: Weather forecasting is that the application of science and technology to predict the state of the atmosphere for a given location and that they are created by collection quantitative information. Soft computing is an innovative approach to construct computationally intelligent systems that area unit supposed to possess human experience inside a selected domain, adapt themselves and learn to do higher in ever-changing environments, and make a case for however they create selections. options like time-to-time update weather Temperatures Update, Last seven days information Predict, weather in each hour as consistent with weather changes. Provide correct information info regarding weather. user will search weather anytime and anyplace. any places data are often search and supply info as consistent with weather. help user to travel. Help User to future plans for holidays. during this model using front-end and back-end techniques like hypertext mark-up language, CSS, Django, python, SQLite+

E-Business Development Research and Analysis of Front-end Frameworks and Libraries

With the rapid expansion of web technology in recent years, there is a significant trend that Hypertext Markup Language (HTML)5 becomes a global web consortium and leads front-end development to take the stage at the forefront of internet history. React, Angular, and Vue are just a few of the front-end development frameworks and libraries available. The decision of which framework or library to utilise to build an e-business and reach out to maximise the user experience has become a top priority in web development. This article begins by providing an overview of the most popular front-end frameworks and libraries, as well as a comparison of their performance in web services. This study will outline the advantages and disadvantages of each framework by assessing the research data on different levels

Design Automation for IC Engine Cooling System using Application Programming Interface

These In recent years, the intense competition in development of new products followed by their rapid prototyping has given rise to an intense competition in the market. In order to automate the design, development of Application Programming Interface (API) is most commonly followed method. The presented work showcases an attempt to develop an API for calculation of area of Heat Exchanger required for an IC Engine. The sAPI has been developed using two commonly used coding languages – HTML (Hypertext Markup Language) and Java script. The HTML along with the integration of CSS is used to develop the user interface and the mathematical formulae have been formatted into the Java script. The API is focused towards understanding the combined effect of various parameters in a heat transfer system.

Development of geo-referenced agricultural map and management information system for Samar Island

This study focuses <span>on the developed web-based information system which allows <a name="_Hlk100824864"></a>local government unit (LGU) in Samar Island and other agricultural sectors to have access to updated farmers’ information and the soil nutrient, soil fertility status, and the crop suitability of soil in the different municipalities of Samar. Geo-referenced agricultural map and management system can be an important tool for both operational and policy levels by accelerating the supply of up-to-date data, supporting the implementation of different types of projects targeting objectives such as municipal development, regional economic development, agricultural development, sustainable resource management, good governance, and many others. The management information system was developed using MySQL. The server-side language used in this study was PHP and the client-side language used was hypertext markup language (HTML). The map was created using Mapbox GL JS, then, geo-referenced map layers are saved to the local server as an array map for direct access via the front-end web application. With the use of the system, LGU in Samar Island and other agricultural sectors can implement project more efficiently because farmers’ information and the nutrient capacity of the soil is readily available.</span>

Interactively building table reports with basetable

In statistical work, it is essential to have an overview of the data used. In, for example, biomedical articles, a standardized way of reporting summaries of continuous and categorical variables is “table 1”. This standardized way of reporting can be useful in most cases of statistical work. The basetable command is a flexible and straightforward way to build and format such table reports. The final reports are easy to style into Stata Markup and Control Language, commaseparated values, HyperText Markup Language, LATEX or TEX, or Markdown and, for example, save into a file specified by the using modifier. Also, it is possible to export the reports created by basetable into Excel worksheets. Because of the General Data Protection Regulation, it has become necessary to blur information on individuals when making reports; in basetable, there are options to blur both categorical and continuous data.

The Role of an On-Page Optimization for an Effective Digital Marketing

Search Engine Optimization (SEO) is the method of influencing the popularity of a website or web page in the unpaid results sometimes referred often referred to as "natural", "organic", or "earned" resultsof a web search engine. SEO explores the way search engines operate, where people search for and the search phrases or keywords are entered into search engines, as a web marketing technique.The primary search results for all major search engines such as google, bing, and yahoo are shown on web pages and on any other material including videos or local listings, depending on what is deemed most important to users by the search engine. To customize a website, the contents of the site, HyperText Markup Language (HTML), and associated code should be changed, both for increasing its relevance to common keywords and removing obstacles to search engine indexing. Promoting a site to increase the number of backlinks, or inbound links, is another SEO tactic. Search Engine Marketing ( SEM) is a type of internet marketing that involves promoting websites by increasing their exposure on search engine results pages (SERPs), mainly through paid ads.While off-page search engine optimization is important. On-page optimization includes all of the actions we take within web pages to help web site rank better. When it comes to on-page optimization, there are eight key targets are playing key roles. The eight targets are Keyword Optimization, Site Structure, Internal Linking, Usability, Mobile Version of the Website, Customer Reviews, Rich Snippets and Social Media Integration. In this paper, we would like to review these eight key factors and review a one case using the website structure as a part of on-page optimization techniques for effective digital marketing.

Research and Analysis on FERN Stack in E-Commerce Web Application Development

With web technology rapidly expands out in recent years, there is a significant trend that Hypertext Markup Language (HTML)5 turns into a worldwide web consortium and leads the front-end development to stand on the front stage of internet history. Whereas data transfer frequency rates increase significantly due to adaptation of dynamic website. However, there are numerous front-end development frameworks and libraries such as React, Angular and Vue. Similarly, in back-end we have MYSQL, MongoDB and Firebase. How to select a suitable framework or library to establish the e-Business and reach out to maximize the user experience becomes a priority operation in full stack web development. This paper starts with introducing an overview of the leading frameworks and libraries in the field of full stack development and examine each performance with respect to FERN stack in web services. How it is implemented in e-Business under separate commercial criteria. Finally, the paper summarizes the contributions and concludes with some possible future of FERN stack development in e-Business.

DATA SECURITY APPROACH ON CYBERCRIME USING WEB VULNERABILITY

Internet could be a major supply of spreading terrorist act through speeches and videos. Terrorist organizations use net particularly social networks to brain wash people and promote terrorist activities through provocative websites that inspire helpless individuals to affix terrorist organizations. Therefore, here we have a tendency to propose Associate in Nursing economical net data processing system to observe such net properties and flag them mechanically for human review. websites are created from hypertext mark-up language (Hypertext markup language). In numerous arrangements and have pictures, texts etc., intermixed on a single website. Here, we have a tendency to used data processing further as net mining to observe patterns and mine out matter info on websites. Here, we have a tendency to are victimization E-mail System to observe the unwanted messages that are additional prone to terrorist act and can send to the spam on to the recipient who is victimization the system. Despite the speedy increase of cyber threats, there has still been very little analysis into the foundations of the topic or methodologies that would serve to guide info systems researchers and practitioners UN agency touch upon cybersecurity. additionally, very little is thought regarding crime- as-a-service (CaaS), a criminal business model that underpins the crime underground. This analysis gap and also the sensible cybercrime issues we have a tendency to face have impelled North American nation to research the crime underground economy by taking an information analytics approach from a style science perspective. to realize this goal, we: (1) propose a data analysis framework for analyzing the crime underground; (2) propose CaaS and crimeware definitions; (3) propose Associate in Nursing associated classification model, Associate in Nursingd (4) develop an example application to demonstrate however the planned framework and classification model might be enforced in apply. We then use this application to research the crime underground economy by analyzing an oversized knowledge set obtained from the net hacking community. By taking a style science analysis approach, this paper contributes to the planning of the email phishing in the area of cybercrime and the area is to fulfill the data security to the email messages consisting the data and providing them the security using the naïve bayes to planning the International Journal of Scientific Research in Engineering and Management (IJSREM) Volume: 06 Issue: 05 | May - 2022 Impact Factor: 7.185 ISSN: 2582-3930 © 2022, IJSREM | www.ijsrem.com DOI: 10.55041/IJSREM12419 | Page 2 industries will harden attacks by the crime underground. Among these, one of the attack is the email phishing. Keywords: CAAS (Crimeware-as-a-Service), ICMP (Internet Control Message Protocol), IRC (Internet Relay Chat), MIB (Management Information Base), CVE (Common Vulnerabilities and Exposures).