Current Websites Research Articles

Internal Medicine and Internal Medicine-Pediatrics Residency Program Website Traffic Patterns Across Two Institutions and Five Electronic Residency Application Service (ERAS) Cycles.

Background Since the start of the COVID-19 pandemic in Spring 2020, medical residency program recruitment has become increasingly web-based due to the transition to virtual interviews. Although social media use by residency programs has soared during this time, applicant surveys show that official program websites remain the most used online resource. According to survey-based studies, the content that applicants favor on program websites tends to mirror their priorities in choosing programs. However, it is unclear whether applicant-reported priorities in program choice and website content truly drive program website traffic. In this analysis, we will elucidate website traffic patterns from two Internal Medicine residency programs and two Internal Medicine-Pediatrics programs, both in terms of the thematic content of high-traffic pages and changes in traffic patterns throughout the Electronic Residency Application Service (ERAS) application cycle. We will provide novel, data-driven guidance to residency program leadership regarding website content. Methodology For each of the four programs included in the analysis, total pageviews on a monthly basis were obtained for the annual ERAS application cycles taking place from 2017 through 2022. For one Internal Medicine program, data was only available for its current website from 2020 to 2022. The mean monthly pageviews were calculated for each page within each website. The total site traffic trends across each year and within high-traffic months were totaled as well. Results As expected, the highest traffic period for all programs in all years was the days before the application deadline, with a secondary, smaller spike in traffic around Match Day. In general, the most popular pages for all four programs were thematically in line with the top five applicant priorities in the 2022 National Resident Matching Program applicant survey, namely, geographic location, goodness of fit, program reputation, work/life balance, and current program residents. Three of the websites featured unique content that unexpectedly proved to be as popular as the top survey-reported topics, such as pages related to a new major clinical site, a new integrated subspecialty pathway, and, most profoundly, a pipeline program for certain applicants from groups that are underrepresented in medicine. Alumni career content was also heavily trafficked across all four programs. Conclusions Program directors should plan twice-yearly updates to residency program websites, timed to be finished by the start of the ERAS cycle in the fall, and again just before Match Day in March. Program directors should include specific, up-to-date information about unique program features. Future research should incorporate a more diverse variety of programs, software-based page content analysis, and traffic source data.

Hyperlink usage in local news websites in Azerbaijan

This paper analyzes one of the elements of the digital content-hyperlink issue in digital journalism. Firstly, the main definition of hyperlinks is given. Then hypertext content on several local news websites is analyzed and hyperlink usage in local news websites in Azerbaijan is described through empirical study. A study of the top 5 local news websites shows that hyperlink usage is not so widespread among tested websites. Moreover, the main issue here is data even how wrong can be hyperlinks used. For example, most of the time we can go just to the same page, or to the homepage of the current website by clicking on the hyperlink. This is meaningless, and not an ethical approach to the audience as well. In addition, the article attempts to interpret an online academic survey conducted among local news website journalists to know their hypertext habits, skills, understandings, and so on. Results show that general awareness of hyperlink usage exists among the survey participants, and they mainly use this technique to refer to external sources, or just to give background information.

Enhancing the Usability, Visibility, and Responsiveness of an Airline Reservation System: A User-Centered Design Approach

This paper presents the idea, design, and prototype of a flight search and airline booking system based on the perspective of user-centered design. The system is first sketched roughly on paper in the form of a sketched plan and implemented through the proper system by connecting with the rapid API to develop a responsive web application. Booking travel tickets is a hassle and quite stressful because there is a chance that the webpages take time, and several decisions to make, hard to choose a discounted or less expensive flight, and the user will have to put in a lot of effort with many browser tabs may leave open. If a user is looking for the lowest travel options within a range of dates, they need to search a lot of websites looking for better options. As UX designers, it is our responsibility to do some user research and identify the problem areas, then we will recommend some design options based on the research findings. After that, we will create a wireframe and prototype before jumping into web design by collecting all the requirements and analyzing the problems. We will be focusing on UI controls such as location picker, date picker, color contrast, accessibility, and so on. In this paper, we present the design and development of a user-centered flight search and booking system for the airline industry. Our goal is to create a system that would meet the needs and preferences of a diverse set of users. This paper will summarize the design, development, and implementation of an airline reservation system. We have used bubble.io to design the overall system and MYSQL as the database management system for this webpage. Our objective is to upgrade the current website by improving the usability, visibility, and responsiveness of the functions that the user will experience while buying a flight ticket. We have generated and managed the design documentation and a perfect user-based online flight booking system.

The American Headache Society First Contact—Headache in Primary Care Program: Current Website Metrics and Direction for Future Initiatives (P11-12.003)

The American Headache Society First Contact—Headache in Primary Care Program: Current Website Metrics and Direction for Future Initiatives (P11-12.003)

Popularity-based and Collaborative Filtering Based Restaurant Recommender System

The creation of a Popularity-based and Collaborative Filtering Based Restaurant Recommendation System is the main focus of this project, which is an important application in the fields of recommendation systems and machine learning. The system uses the different python libraries like scikit-learn, pandas, NumPy, Linear Regression, Hashlib and Matplotlib as well as technologies like Python and the Flask Framework, to recommend the restaurants to the users based on the ratings out of 5 and their tastes. With features including user registration, login, restaurant browsing, and recommendation, the suggested system is a user-centric program. The system offers a smooth user experience by combining backend Python frameworks with frontend technologies like HTML, CSS, and Bootstrap. A thorough analysis of the literature made it clear that recommendation systems are essential for improving user pleasure and experience across a range of industries. But my cutting-edge restaurant suggestion system offers a fresh approach. My solution combines cutting-edge machine learning algorithms with intelligent analysis of customer preferences to deliver customized restaurant recommendations. My system uses collaborative and popularity-based filtering algorithms to make sure that users receive recommendations based on their interests and preferences. Through the integration of data from many sources, such as restaurant attributes and user ratings, My system generates precise and pertinent recommendations that boost user engagement and pleasure. Furthermore, My platform offers a user-friendly experience with little additional infrastructure requirements by seamlessly integrating with current websites and applications. My goal is to revolutionize the restaurant discovery process and improve the eating experience for people globally by promoting the widespread adoption of My technology through smart relationships with industry players.

Campus United

Abstract: Easy access to all content on the website facilitates user interaction. Our college's current website is run by a business, so there aren't many disadvantages. To address the issue of the college having to pay a substantial sum and the possibility of data loss, the "P. C. Polytechnic" website was created. We used HTML, CSS, and JavaScript as frontend tools and MySQL and PHP as back-end designers for our website. Our project's primary goals are to deliver user interface apps and dynamic content changes. This website offers a virtual tour of the campus and the most recent information about the organization.

Análise da clareza metodológica como dimensão de qualidade do Cadastro Nacional de Estabelecimentos de Saúde

ABSTRACT This article analyzes the quality dimension of methodological clarity of the National Registry of Health Establishments (CNES), considering the approach to forms of contracting in the system. This is a documentary research with a qualitative approach, which analyzed the CNES and its documents. Documents that included the following were selected: table of professional relationships and/or forms of hiring. Based on the concept adopted for the dimension of methodological clarity quality, the categories accessibility, content, variables, language, and usability were outlined. In the period from 2005 to 2020, 17 documents were published. Of those, three documents stood out: The version’s Readme, the Domain Table, and the CNES Filling Manual. The CNES website underwent restructuring and not all features were completed. The current website has a more modern and easy-to-understand interface. The change from the administrative sphere variable to the legal nature, in 2015, may make historical series analysis difficult. It is evident that the CNES pays more attention to methodological clarity, considering the approach to the ways of hiring health professionals, included in the system.

The solutions to improve CSR activities for Vietnam enterprises: Evidence from Ho Chi Minh City Power Corporation (EVNHCMC)

CSR activities are very important not only to generate stakeholder attitudes and behaviors but also, over the long run, to build corporate/brand image, strengthen stakeholder–company relationships, and enhance stakeholders’ advocacy behaviors for the enterprises. By analyzing the company’s current situation, managerial implementations are proposed, including in terms of CSR activities improvement via Website quality such as Customer-centric website design, Efficient current website management, regular updating of the latest information, Social network, and Customer centricity solutions by Customer Support Service Level Agreement (SLA), Organizing seminars, reality shows, expert’s advice in the electricity industry to raise customer awareness, customer responsibility in saving energy for sustainable development.

Digital Touchpoints and their Influence on Customer Preference for the B2B Market

Many B2B companies have invested in transformation technology, enhancing their digital marketing strategies. This study investigates digital marketing website touchpoints and explores their influence on customer preference in online transactions. The investigation proceeded with convenience sampling, and 311 electronic manufacturers participated in this online survey. Six variables were tested and analyzed using SPSS regression analysis. Three significant variables are visual appearance, ease of use, and order fulfillment. This study contributes to both theoretical and practical implications of digital marketing practice by B2Bs, especially decisions on the features to be implemented on their current website to enhance their marketing practices further.

Website redesign using Lean UX methods and heuristic evaluation (Case Study: SMA Negeri 3 Gorontalo)

Lean UX has grown into a product and service development method commonly used by start-ups around the world. Lean UX is becoming very popular because the product development process can be done with little financial capital, human resources, and time. In addition, heuristic evaluation is one of the testing techniques with a high level of effectiveness. The ten heuristic aspects have been able to overcome most of the errors before a product is launched. In this study, the two methods were combined to obtain optimal product results. This research was conducted on the website of SMA Negeri 3 Gorontalo, which after observing and interviewing, it was found that the current website does not pay much attention to aspects of the user interface and user experience. The results of testing by professionals using the heuristic evaluation method and severity ratings, get an average result of 0.83 where these results are included in the cosmetic problem, which means that the problem does not have to be fixed unless the project time is still available. Furthermore, testing of design recommendations was carried out on students and teachers, and the results of the SEQ assessment were 6.97 out of a scale of 7, from this assessment, it could be concluded that the design recommendations were acceptable to users.

Predicting online customer purchase: The integration of customer characteristics and browsing patterns

Despite the relentless growth of online retail, e-commerce platforms still suffer from a low purchase conversion rate. Researchers and practitioners have attempted to understand customer purchase behavior, but it remains elusive due to customers' heterogeneous and complex decision-making processes. This study addresses a gap in existing research by combining two types of factors affecting purchase behavior: past customer characteristics and current website browsing behavior. This study employs recency, frequency, and monetary value (RFM) to extract variables of customer characteristics and utilizes graph metrics to comprehensively measure browsing patterns. Based on these variables, this study conducts predictive analysis for purchase behavior and clustering analysis for session-level customer segmentation. Our findings reveal that integrating customer characteristics and browsing patterns significantly enhances purchase prediction and proposes a novel customer segmentation. This study not only provides theoretical and methodological contributions to decision support and e-commerce literature but also offers practical insights for real-time personalized marketing strategies.

국내 문화예술 정보포털의 현황과 과제

The purpose of this paper is to propose an effective and appropriate organizational system and specific introduction plans for information portals based on the analysis of the current status of the organization and composition system of websites opened in existing cultural and arts administrative organizations and related facilities. First, the main core institutions related to cultural and artistic organizations and facilities were systematized and existing by various institutions by cultural and artistic organizations and facilities. Second, when the website components of each culture and arts organization and each facility are classified into specific areas, most of each organization applied the same website composition system with a standardized basic platform construction system applied. Third, the main core areas of culture and arts websites existed in similar types, and the data management and system systems of the current websites were all set similarly. Culture and arts websites should be systematically supplemented to activate them as useful information portal systems for everyone with a reasonable design that considers both the user-side effectiveness and institutional characterization.

HTTP header based phishing attack detection using machine learning

AbstractIn the past, many techniques like blacklisting/whitelisting, third‐party, search engine, visual similarity, heuristic, URL features, and website content were used for anti‐phishing. Search engine‐based, third‐party assisted tools and blacklist/whitelist fail to identify new phishing attacks resulting in high FPR. Heuristic and visual similarity approaches are slow, whereas URL and web content‐based techniques do not mimic the dynamic content of current websites and hence cannot stop zero‐day attacks. A study was conducted to understand the critical features used in the past for anti‐phishing, and we found 16 HTTP header features that were novel. In this paper, we have developed a real‐time, highly scalable, feature‐rich anti‐phishing detection technique based on ML that extracts the HTTP headers (predominantly security headers) from web pages to identify them as legitimate or phished. It is observed that phishing sites are short‐lived and are created to achieve a specific objective, like stealing the credential of a user. Once the goal is met, the sites are pulled down immediately. Hence these sites do not take pain to use the security features of web technology and only focus on making the site as similar as possible to the original website. Test results based on our novel features show high accuracy of 97.8% with an average response time of 1.57 s. We have created multiple datasets for different scenarios, like a dataset for website creation through phishing tools and a new dataset for testing unseen phishing attacks. The results thus obtained show detection accuracy of 99% and 95%, respectively.

A Study of Website Translation to Promote the Spread of Local Culture --Taking the Example of Baoding, China

Tourism plays a significant role in the development of a city, thus, tourism translation through websites plays an irreplaceable role in promoting local cultural publicity. This paper aims to study ways to promote the dissemination of local culture through three parts: literature review, Analysis of website construction and translations of Ancient City Culture. It analyzes the current construction situation of Baoding’s related websites, pointsing out their current shortcomings, while putting forward various suggestions. In addition, from the perspective of translation, the defects in the translation content of current websites has been pointed out from three perspectives: historical stories and ancient literature, proper nouns, natural scene, and providing corresponding revised translations and methods and suggestions for the translation of this type of text.

How the Oaklander Model sparked a Global Community of Therapists in a Pandemic, and enriched Training and Treatment

Social isolation caused by COVID threatened psychotherapist-client and instructor-learner contact especially in the child therapy field. In response, the author devised free online Oaklander Model interactive play therapy tools (Sandtray, Puppets, Dollhouse, Projective Cards, Mindfuldraw) which replace their hands-on originals with tabs of images clients choose, place, move, enlarge or shrink, and make act and speak to orchestrate scenes. The author also conducted teleconference training and supervision in their use. Both the digital interventions and instruction continue to attract therapists from some 30 countries, who collaborate to support children from afar. The technological recasting of play techniques and teaching proved to retain and even expand their powers along with their reach. Such expansion confirmed the universal, timeless efficacy of Oaklander’s interventions and approach, and their applicability to virtual platforms. It also increased client access to therapy and therapist access to clinical education, regardless of location and finances. Finally, it revealed advantages of remote play therapy and training: recording sessions or stages of client creations, including from separate devices; shot sharing of clients’ home, household members, pets and meaningful objects for assessment and exploration; environmental sustainability of foregoing transportation, office rental, physical art materials and storage; and construction of an international therapeutic community sharing their knowledge. Periodic polling, current website analytics and a recent formal survey show these techniques and gains have outlasted and outgrown lockdown despite distance, financial hardship and, sometimes, war. Digital therapy, learning and collaboration endure and expand both online and live as the foundation of this network’s dual achievement: a global community of healers and a global extension of healing.

Baseball’s Most Bizarre Plays: A Roster of the Odd, the Improbable and the Downright Confounding in Major League History by Alan Hirsch

Reviewed by: Baseball’s Most Bizarre Plays: A Roster of the Odd, the Improbable and the Downright Confounding in Major League History by Alan Hirsch Paul Hensler Alan Hirsch. Baseball’s Most Bizarre Plays: A Roster of the Odd, the Improbable and the Downright Confounding in Major League History. Jefferson, NC: McFarland, 2022. 199 pp. Paperback, $29.95. For well over a century, thousands of baseball games have featured even more thousands of players, and to no one’s surprise, all the action on the field taking place over so many innings provides ample opportunity for strange plays and quirks of circumstance to occur. Alan Hirsch takes a stab at finding the craziest of these as evinced by the title of this slim volume. In the introduction, the author states his methodology for determining his roster of 150 peculiar occurrences, not least of which includes proof in the form of a “newspaper or other eyewitness account of the game that reports this incident” (3). Although mass media has evolved greatly in recent years, thereby affording quick access to current website postings, “well over half of the plays pre-date 2000; roughly one- third predate 1980 and one- fourth predate 1960,” according to Hirsch’s estimation (3). The vignettes of each play are accompanied by commentary intended to be “very much in the spirit of Bill James- style baseball history” (2). Hirsch writes in a breezy, unpretentious style that is as easy as a conversation with your fellow fans at a ball game, and the kitschy subtitles for many of the selections emphasize his lighthearted approach: Play #56 is headed “Know When to Fold ’Em” and features pitcher Kenny Rogers (107); #102, “Insult Added to Injury,” describes the plight of another hurler, Jon Matlack, who takes a batted ball directly to his forehead (56). The book is a trivia buff ’s delight, as Hirsch ferrets out nuggets such as the real- life Ronn Reynolds serving as the catcher for the apocryphal Sidd Finch of Sports Illustrated fame, or Sean Casey of the Tigers being thrown out at first base on a presumed base hit to left field, only to reach base safely, ironically, on an infield hit later in the same game. [End Page 118] The author’s entries are replete with botched rundowns, strange inside-the-park home runs, misadventures caused by broken bats, and other assorted antics that go beyond what normally takes place between the foul lines (or sometimes beyond them) in a garden- variety game. This minutia makes for entertaining reading, but it comes at a steep price. As formatted, many plays and their related remarks comprise roughly one total page, but in his nod to the James style Hirsch far too often uses his commentary to segue and meander into topics and subtopics that have no bearing on the play under discussion. One example will suffice: in relating a sequence of multiple bad throws on one play in a Brewers— Indians contest from 1982— Hirsch rates this as the eighty- eighth most bizarre play in all of major- league history. The author also tells readers about the well- worn nickname of Mike Hargrove as well as Robin Yount’s journey to win the American League MVP award. But wait—there’s more! Readers are informed further about the plight of Yount’s older brother with the Houston Astros. All this bloating is derived from Yount and Hargrove being active participants in the crazy play from that 1982 game. In this instance, the author’s padded comments are nearly three times the length of the description of the play in question and add nothing to put it in a better historical context. Because this protocol follows 150 iterations, an ennui begins to set in when readers find that they are being bludgeoned with so much trivia and attendant diversions. Compounding this quandary in disturbing fashion are gaffes that should have been flagged during editing and simple fact- checking. While the author proudly notes that he presents no errors in the spelling of Jenrry Mejia’s name, there are other miscues aplenty, including, but not limited to, Hal “McCrae,” Bobby “Thompson” of the 1951 New York Giants, Wally...

Design of Student Homework Management System in Private Colleges and Universities Based on Computer Software Technology

This paper takes the job management of a private university as the research object and analyzes the function, performance, and operating environment of the job management system. We design the overall design scheme of the job management system according to the requirements and carry out the general design, detailed design, and database design of the system. By comparing and analyzing the characteristics of different MPPT algorithms, in view of the shortcomings of the fruit fly optimization algorithm, this paper proposes an improved fruit fly optimization algorithm to realize the maximum power point tracking of photovoltaic systems. The initialization position is improved, and the iterative optimization is carried out by means of variable step size. Compared with the traditional fruit fly optimization algorithm, the improved algorithm has a faster convergence speed, and the optimization process is stable and less oscillating, and the tracking of MPPT is improved. The accuracy can effectively avoid the system falling into local optimum. Based on the understanding of user demand analysis, the problems to be solved by this system are obtained, and solutions to these problems are given. Through the analysis and comparison of various technologies commonly used in the current website development and combined with the characteristics of the problem, the ASP-based Browser/Server (B/S) architecture is used to realize it. This system realizes the digitization of traditional paper work, solves the problems of slow speed, poor real-time performance, difficult inquiries, and difficult statistics in traditional homework management, effectively improves the quality of homework management in private colleges and universities, and has certain effects on improving the quality of school teaching.

Developing Interactive Design for Educating Childhood Cancer Awareness

Current websites specific to childhood cancer still lack approachable design. The interface and layout are unattractive with inappropriate and limited multimedia elements, making the information dissemination to the user ineffective. Hence, this study aims to develop an interactive infographic website to educate childhood cancer named i-Hope. The objectives are to identify and implement suitable multimedia and interactive features, integrate them with the appropriate interaction design and approach in producing the website. The methods comprise five phases: analysis, design, development, implementation and evaluation. This paper discusses the development and evaluation of the website in attracting users' interest in childhood cancer.

Evaluasi User Interface Website Prodi Teknik Informatika UNRI Menggunakan User Experience Questionnaire (UEQ)

The current website of Informatics Programme at Riau University is being redesign. This process need to be done because the past design had a few shortcomings, such as not being responsive and less attactive to user, in term of UI. To figure out weather the new design meets the UX aspects, it is necessary to make an evaluation. This research does that evaluation about current website User Interface (UI) using UEQ. UEQ,as for today, is consider a fast and simple tools to test UX aspects of certain website. The UEQ will be distributed to 50 respondents which is Informatics Programme’s student. This respondent consist of 25 men and 25 women. Respondent data was analyzed using UEQ Data Analysis Tools. The result was 4 aspects which is consider good, such as attractiveness, efficiency, dependability and stimulation. There was 1 aspect which score above average, namely perspicuity. One last aspect was score below average, which is novelty. From this research result, in general the UI design and UX aspects of this website is consider good. However, to reach maximum performance some adjustment need to be done. Especially from the perspicuity ascpect. The developer need to clarify the way to use this website. The approach can be taken from general web design principal. As for novelty aspects, improvement need to be done to its content with creative and inovatif idea. This will bring unique value for informatics programme website compare to another sites.

Fine-grained Web Service Trust Detection: A Joint Method of Machine Learning and Blockchain

Current website defacement detection methods often ignore security and credibility in the detection process. Furthermore, with the gradual development of dynamic websites, false positives and underreports of website defacement have periodically occurred. Therefore, to enhance the credibility of website defacement detection and reduce the false-positive rate and the false-negative rate of website defacement, this paper proposes a fine-grained trust detection scheme called WebTD, that combines machine learning and blockchain. WebTD consists of two parts: an analysis layer and a verification layer. The analysis layer is the key to improving the success rate of website defacement detection. This layer mainly uses the naive Bayes (NB) algorithm to decouple and segment different types of web page content, and then preprocess the segmented data to establish a complete analysis model. Second, the verification layer is the key to establishing a credible detection mechanism. WebTD develops a new blockchain model and proposes a multi-value verification algorithm to achieve a multilayer detection mechanism for the blockchain. In addition, to quickly locate and repair the defaced data of the website, the Merkle tree (MT) algorithm is used to calculate the preprocessed data. Finally, we evaluate WebTD against two state-of-the-art research schemes. The experimental results and the security analysis show that WebTD not only establishes a credible web service detection mechanism but also keeps the detection success rate above 98%, which can effectively ensure the integrity of the website.