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Introducing How We Make It: Disability Justice, Autoimmunity, Community, a Multimedia Project

How We Make It: Disability Justice, Autoimmunity, Community is a born-digital multimedia piece that lives on the Scalar platform and that was submitted and eventually accepted into the Special Section on Autoimmunities in the Wake of COVID-19. The text below is a close reproduction of the Navigation page within the Scalar piece. While reading this text, one cracks open the door to glimpse the ten-person collective behind this project. However, we invite the reader to go directly to the website (link provided below) to fully partake of the variety of paths—including embedded sound and video files, image annotations, and links to other sites—that perform a listening to and reflecting upon crip knowledge and joy as it was catalyzed and recorded by this ten-person collaborative ruminating on chronic illness, long COVID, anti-Asian violence, incarceration, care burdens, mental distress, electromagnetic fields, and deep listening. After going to the Scalar website, please make sure to turn your speaker volume up. Lingering over key images (while in Scalar) will also reveal pop-up annotations.

An Experimental Performance Assessment of Galileo OSNMA.

We present Galileo Open Service Navigation Message Authentication (OSNMA) observed operational information and key performance indicators (KPIs) from the analysis of a ten-day-long dataset collected in static open-sky conditions in southern Finland and using our in-house-developed OSNMA implementation. In particular, we present a timeline with authentication-related events, such as authentication status and type, dropped navigation pages, and failed cyclic redundancy checks. We also report other KPIs, such as the number of simultaneously authenticated satellites over time, time to first authenticated fix, and percentage of authenticated fixes, and we evaluate the accuracy of the authenticated position solution. We also study how satellite visibility affects these figures. Finally, we analyze situations where it was not possible to reach an authenticated fix, and offer our findings on the observed patterns.

Enhancing Performance of Software Testing Automation using Selenium Web Grid

Web application testing is crucial to ensuring software quality and dependability. Selenium, a popular open-source testing framework, is widely used for automating web browsers to perform various testing tasks. One of the key components of Selenium is Selenium WebGrid, a distributed testing infrastructure that allows running tests in parallel across multiple nodes. This paper presents a comprehensive study on measuring the performance of Selenium WebGrid. The objective is to evaluate its efficiency, scalability, and reliability in executing test scripts across different browsers and operating systems. The study compares the performance of Selenium WebGrid with other testing approaches, such as traditional Selenium Grid and single-node Selenium execution. The methodology employed in this study involves designing a set of representative test cases that simulate real-world scenarios. These test cases cover a range of typical web application functionalities, including form submissions, page navigation, and data validation. The performance metrics considered for evaluation include execution time, resource utilization, and test throughput. To measure the performance of Selenium WebGrid, a testbed environment is set up consisting of multiple nodes with different configurations. The test scenarios are executed on the WebGrid infrastructure, and the performance metrics are collected and analyzed. The results are then compared with those obtained from traditional Selenium Grid and single-node Selenium execution to identify the performance advantages and limitations of Selenium WebGrid. It demonstrates the improved scalability and efficiency of WebGrid in executing tests across multiple nodes simultaneously. The results also provide insights into the resource requirements and trade-offs associated with using Selenium WebGrid compared to other testing approaches. This work adds to the body of knowledge by presenting empirical data on Selenium WebGrid's performance characteristics. It serves as a valuable resource for software testing professionals and researchers interested in leveraging Selenium WebGrid for distributed web application testing.

Enhancing Performance of Software Testing Automation using Selenium web grid

Web application testing is crucial to ensuring software quality and dependability. Selenium, a popular open-source testing framework, is widely used for automating web browsers to perform various testing tasks. One of the key components of Selenium is Selenium WebGrid, a distributed testing infrastructure that allows running tests in parallel across multiple nodes. This paper presents a comprehensive study on measuring the performance of Selenium WebGrid. The objective is to evaluate its efficiency, scalability, and reliability in executing test scripts across different browsers and operating systems. The study compares the performance of Selenium WebGrid with other testing approaches, such as traditional Selenium Grid and single-node Selenium execution. The methodology employed in this study involves designing a set of representative test cases that simulate real-world scenarios. These test cases cover a range of typical web application functionalities, including form submissions, page navigation, and data validation. The performance metrics considered for evaluation include execution time, resource utilization, and test throughput. To measure the performance of Selenium WebGrid, a testbed environment is set up consisting of multiple nodes with different configurations. The test scenarios are executed on the WebGrid infrastructure, and the performance metrics are collected and analyzed. The results are then compared with those obtained from traditional Selenium Grid and single-node Selenium execution to identify the performance advantages and limitations of Selenium WebGrid. It demonstrates the improved scalability and efficiency of WebGrid in executing tests across multiple nodes simultaneously. The results also provide insights into the resource requirements and trade-offs associated with using Selenium WebGrid compared to other testing approaches. This work adds to the body of knowledge by presenting empirical data on Selenium WebGrid's performance characteristics. It serves as a valuable resource for software testing professionals and researchers interested in leveraging Selenium WebGrid for distributed web application testing.

COVID-19-дискурс как особый вид дискурса в структуре университетского интернет-портала (на материале русского и немецкого языков)

The article presents the analysis of linguistic and cultural features of COVID-19 discourse. The current research is an attempt to identify the discourse-forming features of the given discourse as well as to analyze the empirical material focusing on its genre and language features. The analysis is based upon general scientific methods, with the use of interpretive methodology and contextual analysis. The author analyzes methods of construction and navigation of COVID-19 Internet pages integrated into the university Internet portal providing the justification of its hypertext characteristics and describing the thematic features of the headings. The article describes constructive features of the COVID-19 discourse including its participants, chronotope, goals, strategies and values. The author considers COVID-19 discourse an institutional hybrid interdiscursive phenomenon which forms a thematically limited communicative space in the structure of the university Internet portal during the coronavirus pandemic. The article contains the analysis of the genre aspects of the given discourse based on two non-similar languages (Russian, German) focusing on their discourse-conditioned lexical, syntactic peculiarities. The research revealed the specific genre nature of the COVID-19 university discourse which is determined by the formation and existence of the COVID-19 discourse in different linguocultures. The author shows the interdependence of genre structure and intra-genre linguistic means focusing on the similarities and differences in syntactic and lexical markers of discourse. All this allows to suggest the presence of linguocultural determination of COVID-19 discourse in the structure of the university Internet portal of two non-similar languages. The study opens up the prospects for further focus on the linguocultural determination of COVID-19-discourse and a detailed analysis of its linguistic and translatological features.

Analysis and redesign of the website user interface of Universitas Faletehan using the design thinking method

The website of Universitas Faletehan as a media for publication of information and documentation as well as one of the student information systems. Currently, several problems have been found on Universitas Faletehan website. Among them are the appearance of the main page that is less organized and less organized, and page navigation that is still empty. For this reason, a design for improving the interface is carried out using the design thinking method. This method is known as a comprehensive thinking process that concentrates on creating a solution that begins with a process of empathy for a particular human-centered need. There are 5 stages in this method, namely Empathize, Define, Ideate, Prototype, and Testing. The recommended application is built in the form of a prototype using the Figma application. The prototype that was built was successfully tested on 11 respondents by using the System Usability Scale (SUS) test and the application prototype with a score of 60.

Recommended System

In this study searched for the survey paper on recommendation system. Recommendation system sorts through massive amounts of data to identify interest of users and makes the information search easier. For that purpose many methods have been used. Collaborative Filtering (CF) is a method of making automatic predictions about the interests of customers by collecting information from number of other customers, for that purpose many collaborative base algorithms are used. Web Recommendation(WR) help the website visitors for easy navigation of web pages, quickly reaching their destination and to obtain relevant information. Content based filtering method(CBF) filtering is done based on customer’s interested items. In content-based filtering technique, the web pages are recommended for a user very quickly from ancient database. In that database different content of items are added that the user has used in the ancient times and/or user’s personal information and preferences.

Key Variables for Effective eHealth Designs for Individuals With and Without Mental Health Disorders: 2^12-4 Fractional Factorial Experiment.

BackgroundeHealth applications not only offer the potential to increase service convenience and responsiveness but also expand the ability to tailor services to improve relevance, engagement, and use. To achieve these goals, it is critical that the designs are intuitive. Limited research exists on designs that work for those with a severe mental illness (SMI), many of whom have difficulty traveling for treatments, reject or infrequently seek treatment, and tend to discontinue treatments for significant periods.ObjectiveThis study aims to evaluate the influence of 12 design variables (eg, navigational depth, reading level, and use of navigational lists) on the usability of eHealth application websites for those with and without SMI.MethodsA 212-4 fractional factorial experiment was used to specify the designs of 256 eHealth websites. This approach systematically varied the 12 design variables. The final destination contents of all websites were identical, and only the designs of the navigational pages varied. The 12 design elements were manipulated systematically to allow the assessment of combinations of design elements rather than only one element at a time. Of the 256 websites, participants (n=222) sought the same information on 8 randomly selected websites. Mixed effect regressions, which accounted for the dependency of the 8 observations within participants, were used to test for main effects and interactions on the ability and time to find information. Classification and regression tree analyses were used to identify effects among the 12 variables on participants’ abilities to locate information, for the sample overall and each of the 3 diagnostic groups of participants (schizophrenia spectrum disorder [SSD], other mental illnesses, and no mental illness).ResultsThe best and worst designs were identified for each of these 4 groups. The depth of a website’s navigation, that is, the number of screens users needed to navigate to find the desired content, had the greatest influence on usability (ability to find information) and efficiency (time to find information). The worst performing designs for those with SSD had a 9% success rate, and the best had a 51% success rate: the navigational designs made a 42% difference in usability. For the group with other mental illnesses, the design made a 50% difference, and for those with no mental illness, a 55% difference was observed. The designs with the highest usability had several key design similarities, as did those with the poorest usability.ConclusionsIt is possible to identify evidence-based strategies for designing eHealth applications that result in significantly better performance. These improvements in design benefit all users. For those with SSD or other SMIs, there are designs that are highly effective. Both the best and worst designs have key similarities but vary in some characteristics.

Implementation of touch screens in the crew cockpit information and control field using the ARINC 661 standard

This article discusses the problem of using touch screens in the crew cockpit as part of a general trend optimizing the humanmachine interface of the cockpit in order to improve the safety and quality of flights. The aim of the work is to develop a promising cockpit information and control field of a transport category aircraft based on touch screens and to analyze the feasibility of using this technology on board the aircraft. Based on the analysis of current research and trends, as well as regulatory documentation in the field of building a perspective cockpit using touch screens, a conclusion is made about the feasibility of using touch screens in the cockpit and the concept of a perspective cockpit is developed. As important elements of the concept, such interactive display pages as normal and emergency checklists, a navigation page with a flight plan, and pages of the aircraft navigation system are considered. Given the well-known problem of using touch displays in turbulence, a backup display and reconfiguration control loop is proposed. On the basis of the above-mentioned concept, an intelligent information system is being developed for prototyping a promising cockpit, taking into account the application of the ARINC 661 standard, with subsequent integration into a universal stand for prototyping the cockpit and testing the results with the participation of flight experts. The practical significance of this study is due to the significant optimization of the elements of the cockpit information and control field, as well as the potential increase in the reliability of the complex by replacing the electromechanical display controls, reducing the cost of developing the information and control field and making improvements, reducing weight by decreasing the number of wires and equipment, reducing the complexity of installation.

From skeuomorphism to flat design: age-related differences in performance and aesthetic perceptions

ABSTRACT The design of graphical user interfaces has been evolving from skeuomorph interfaces – which use elements that mimic the aesthetics and functionality of their real-world counterparts – to minimalist and flat designs. Despite the growing popularity of these new design approaches, they can be challenging for older adults who experience a decline in visual and cognitive abilities. Still, little is known about user performance, aesthetic perception, and preference of older adults, particularly in comparison to younger users and traditional skeuomorph interfaces. In this paper, we examine the performance and aesthetic perception of older (65–77 years old) and younger (20–40) adults with three design approaches: skeuomorph, skeuominimalist, and flat design. Results show flat design is either slower or less accurate than traditional skeuomorph interfaces for older adults across three tasks: visual search, identifying clickable objects, and multiple page navigation. Younger adults were less susceptible to performance differences between design approaches, but still subject to ‘click uncertainty’ with flat interfaces. Skeuominimalism did not show clear performance benefits over flat design or skeuomorphism, while the latter reduced the performance gap between age groups. Finally, younger adults preferred the simplicity of skeuominimalism, while older adults preferred skeuomorph interfaces because of the perceived usability, beauty, and trustiness.

An Electronic Clinical Decision Support System for the Management of Low Back Pain in Community Pharmacy: Development and Mixed Methods Feasibility Study

BackgroundPeople with low back pain (LBP) in the community often do not receive evidence-based advice and management. Community pharmacists can play an important role in supporting people with LBP as pharmacists are easily accessible to provide first-line care. However, previous research suggests that pharmacists may not consistently deliver advice that is concordant with guideline recommendations and may demonstrate difficulty determining which patients require prompt medical review. A clinical decision support system (CDSS) may enhance first-line care of LBP, but none exists to support the community pharmacist–client consultation.ObjectiveThis study aimed to develop a CDSS to guide first-line care of LBP in the community pharmacy setting and to evaluate the pharmacist-reported usability and acceptance of the prototype system.MethodsA cross-platform Web app for the Apple iPad was developed in conjunction with academic and clinical experts using an iterative user-centered design process during interface design, clinical reasoning, program development, and evaluation. The CDSS was evaluated via one-to-one user-testing with 5 community pharmacists (5 case vignettes each). Data were collected via video recording, screen capture, survey instrument (system usability scale), and direct observation.ResultsPharmacists’ agreement with CDSS-generated self-care recommendations was 90% (18/20), with medicines recommendations was 100% (25/25), and with referral advice was 88% (22/25; total 70 recommendations). Pharmacists expressed uncertainty when screening for serious pathology in 40% (10/25) of cases. Pharmacists requested more direction from the CDSS in relation to automated prompts for user input and page navigation. Overall system usability was rated as excellent (mean score 92/100, SD 6.5; 90th percentile compared with similar systems), with acceptance rated as good to excellent.ConclusionsA novel CDSS (high-fidelity prototype) to enhance pharmacist care of LBP was developed, underpinned by clinical practice guidelines and informed by a multidisciplinary team of experts. User-testing revealed a high level of usability and acceptance of the prototype system, with suggestions to improve interface prompts and information delivery. The small study sample limits the generalizability of the findings but offers important insights to inform the next stage of system development.

Layout Transposition for Non-Visual Navigation of Web Pages by Tactile Feedback on Mobile Devices.

In this paper, we present the results of an empirical study that aims to evaluate the performance of sighted and blind people to discriminate web page structures using vibrotactile feedback. The proposed visuo-tactile substitution system is based on a portable and economical solution that can be used in noisy and public environments. It converts the visual structures of web pages into tactile landscapes that can be explored on any mobile touchscreen device. The light contrasts overflown by the fingers are dynamically captured, sent to a micro-controller, translated into vibrating patterns that vary in intensity, frequency and temperature, and then reproduced by our actuators on the skin at the location defined by the user. The performance of the proposed system is measured in terms of perception of frequency and intensity thresholds and qualitative understanding of the shapes displayed.

Exploring Accessibility in DOAJ: A Case Study

This study explores the accessibility of HTML articles indexed in the Directory of Open Access Journals (DOAJ). The researchers tested a random sample of journals that possessed the DOAJ seal of approval, added content in 2019, were published in English and had 50 or more indexed articles. From this sample, HTML full-text articles were randomly selected for accessibility testing, using the W3C Easy Checks. 131 journals on 22 platforms were reviewed. All content reviewed provided unique web page titles. The majority of articles reviewed allowed for increases in text size and had meaningful heading structure. The application of alternative text tags for images and form labels was inconsistent, as was the ability to use keyboard controls for page navigation. Further, most content did not clearly indicate cursor location. The most egregious accessibility issues came from design choices, which generated a variety of contrast errors. More in-depth studies of DOAJ and other OA indexes and content providers are recommended, as is requiring adherence to WCAG 2.0 accessibility criteria as a condition of article submission.

Animations in Cross-Platform Mobile Applications: An Evaluation of Tools, Metrics and Performance.

Along with the proliferation of high-end and performant mobile devices, we find that the inclusion of visually animated user interfaces are commonplace, but that research on their performance is scarce. Thus, for this study, eight mobile apps have been developed for scrutiny and assessment to report on the device hardware impact and penalties caused by transitions and animations, with an emphasis on apps generated using cross-platform development frameworks. The tasks we employ for animation performance measuring, are those of (i) a complex animation consisting of multiple elements, (ii) the opening sequence of a side menu navigation pattern, and (iii) a transition animation during in-app page navigation. We employ multiple performance profiling tools, and scrutinize metrics including frames per second (FPS), CPU usage, device memory usage and GPU memory usage, all to uncover the impact caused by executing transitions and animations. We uncover important differences in device hardware utilization during animations across the different cross-platform technologies employed. Additionally, Android and iOS are found to differ greatly in terms of memory consumption, CPU usage and rendered FPS, a discrepancy that is true for both the native and cross-platform apps. The findings we report are indeed factors contributing to the complexity of app development.

Aggregated clustering for grouping of users based on web page navigation behaviour

Aggregated clustering for grouping of users based on web page navigation behaviour

Aggregated clustering for grouping of users based on web page navigation behaviour

In this epoch, a significant amount of patterns are retrieved using data mining techniques. Clustering is one of the technique that plays an vital role in web mining. This paper works on MSNBC dataset with the average access length of 6. It aims to cluster the users based on their navigation behaviour. An iterative aggregated clustering is proposed, in which various clustering algorithms like EM clustering, farthest first, K-means clustering, density based cluster, filtered cluster are applied on the dataset. The resultant clusters from various algorithms are aggregated correspondingly and the frequency of instances in each cluster is determined. Then the instance with two-third majority is grouped in that cluster. The work revealed that 91% of users clustered in the first iteration under 17 clusters and 99% of users in subsequent iterations in another 17 clusters and rest of the users are grouped as one cluster, resulting 35 hard clusters.

A novel recommendation approach based on chronological cohesive units in content consuming logs

We propose a novel recommendation approach based on chronological cohesive units (CCUs) of content consuming logs. Chronological cohesive units are defined as sub-sequences of logs in which items are highly related to each other. We first generate rules for splitting consuming logs into CCUs. We select features which are effective for splitting of consuming logs and combine them into a binary decision tree to generate splitting rules with genetic programming. With the rules, we split content consuming logs into CCUs, and identify strongly associated items in the CCUs. Next items are recommended with an association rule-based approach. The proposed method is evaluated using two-real datasets: web page navigation logs and movie consuming logs. The experiments confirm that the proposed approach is superior to the existing methods in various aspects such as hit ratio, click-soon ratio, sparsity, diversity and serendipity.

Content, Quality, and Assessment Tools of Physician-Rating Websites in 12 Countries: Quantitative Analysis.

BackgroundWebsites on which users can rate their physician are becoming increasingly popular, but little is known about the website quality, the information content, and the tools they offer users to assess physicians. This study assesses these aspects on physician-rating websites in German- and English-speaking countries.ObjectiveThe objective of this study was to collect information on websites with a physician rating or review tool in 12 countries in terms of metadata, website quality (transparency, privacy and freedom of speech of physicians and patients, check mechanisms for appropriateness and accuracy of reviews, and ease of page navigation), professional information about the physician, rating scales and tools, as well as traffic rank.MethodsA systematic Web search based on a set of predefined keywords was conducted on Google, Bing, and Yahoo in August 2016. A final sample of 143 physician-rating websites was analyzed and coded for metadata, quality, information content, and the physician-rating tools.ResultsThe majority of websites were registered in the United States (40/143) or Germany (25/143). The vast majority were commercially owned (120/143, 83.9%), and 69.9% (100/143) displayed some form of physician advertisement. Overall, information content (mean 9.95/25) as well as quality were low (mean 18.67/47). Websites registered in the United Kingdom obtained the highest quality scores (mean 26.50/47), followed by Australian websites (mean 21.50/47). In terms of rating tools, physician-rating websites were most frequently asking users to score overall performance, punctuality, or wait time in practice.ConclusionsThis study evidences that websites that provide physician rating should improve and communicate their quality standards, especially in terms of physician and user protection, as well as transparency. In addition, given that quality standards on physician-rating websites are low overall, the development of transparent guidelines is required. Furthermore, attention should be paid to the financial goals that the majority of physician-rating websites, especially the ones that are commercially owned, pursue.

Mining Users’ Preference Similarities in E-commerce Systems Based on Webpage Navigation Logs

Mining users’ preference patterns in e-commerce systems is a fertile area for a great many application directions, such as shopping intention analysis, prediction and personalized recommendation. The web page navigation logs contain much potentially useful information, and provide opportunities for understanding the correlation between users’ browsing patterns and what they want to buy. In this article, we propose a web browsing history mining based user preference discovery method for e-commerce systems. First of all, a user-browsing-history-hierarchical-presentationgraph to established to model the web browsing histories of an individual in common e-commerce systems, and secondly an interested web page detection algorithm is designed to extract users’ preference. Finally, a new method called UPSAWBH (User Preference Similarity Calculation Algorithm Based on Web Browsing History), which measure the level of users’ preference similarity on the basis of their web page click patterns, is put forward. In the proposed UPSAWBH, we take two factors into account: 1) the number of shared web page click sequence, and 2) the property of the clicked web page that reflects users’ shopping preference in e-commerce systems. We conduct experiments on real dataset, which is extracted from the server of our self-developed e-commerce system. The results indicate a good effectiveness of the proposed approach.

WEB SCRAPING COMPUTER PROGRAM FOR THE ESTOMATO WEB SOFTWARE: A POTENTIAL TOOL FOR ORAL MEDICINE PRACTICE AND RESEARCH

The Estomato Web (EW) software is provided and supported by the Brazilian Society of Stomatology and Oral Pathology (SOBEP). EW is currently used in 17 Brazilian Oral Medicine services, allowing to record digital data of patients and quick searches of a limited number of clinical parameters. However, there is no available tool for extracting and exporting a large number of digital data at once. The aim of this study was to create a computer program to automate the reading of all clinical data registered on EW and to export them for files in Excel spreadsheets. Study design. The creation and use of the computer program was allowed by SOBEP; it was developed using the Web Scraping Technique (WST), which consists on automated navigation of pages from a website, with the possibility to collect the content displayed on each page.