Browser Application Research Articles

Remote Moderator and Observer Experiences and Decision-making During Usability Testing of a Web-Based Empathy Training Portal: Content Analysis.

BackgroundCOVID-19 restrictions severely curtailed empirical endeavors that involved in-person interaction, such as usability testing sessions for technology development. Researchers and developers found themselves using web-based moderation for usability testing. Skilled remote moderators and observers are fundamental in this approach. However, to date, more empirical work is needed that captures the perceptions and support needs of moderators and observers in testing situations.ObjectiveThe aim of this paper was to identify remote moderator and observer participant experiences and their use of certain tools to capture feedback of users as they interact with the web browser application.MethodsThis research is part of a broader study on an educational web browser application for nursing students to learn perspective taking and enhance their perceptual understanding of a dialogue partner’s thoughts and feelings. The broader study used a quantitative and think-aloud qualitative problem-discovery usability study design. This case study explored written accounts of the remote moderator and observer participants regarding their roles, experiences, and reactions to the testing protocol and their suggestions for improved techniques and strategies for conducting remote usability testing. Content analysis was used to analyze participants’ experiences in the usability testing sessions.ResultsWe collected data from 1 remote moderator and 2 remote observers. Five themes were identified: dealing with personal stressors, dealing with user anxiety, maintaining social presence, ethical response to the study protocol, and communication during sessions. The participants offered recommendations for the design of future remote testing activities as well as evidence-informed training materials for usability project personnel.ConclusionsThis study’s findings contribute to a growing body of endeavors to understand human-computer interaction and its impact on remote moderator and observer roles. As technology rapidly advances, more remote usability testing will occur where the knowledge gleaned in this study can have an impact. Recommendations based on moderator and observer participant perspectives identify the need for more evidence-informed training materials for their roles that focus on web-based interpersonal communication skills, execution of user testing protocols, troubleshooting technology and test user issues, proficiency in web conferencing platforms, behavior analysis and feedback technologies, and time management.

Browser Based Malicious Domain Detection through Extreme Learning Machine

The main aim of the project is to detect the malicious domains in the internet through Machine learning approaches and is helpful in preventing the cybercrime. For that Extreme Learning Machine(ELM) approach is used to find the malicious domains in the web. The Terms used for the project are Browser application, extreme learning machine, feature selection, malicious domain detection, machine learning, Real-time training. This approach will be helpful in reducing the cybercrime such as harmful websites, fake websites that stores the user information, malicious attack website domains.

The Web-based Application of Small and Medium Enterprises (SMEs) Product Distribution Management with Content Management System Shopify Integration in Netasia Singapore

Netasia is a brand activation of the company named Golden Style Management Lte. Ptd. in Singapore which acts as a local partner and distributor for Small and Medium Enterprises (SMEs) from Indonesia. Netasia utilizes Content Management System (CMS) named Shopify to reach end-users. But currently, they do not have a platform for managing product distribution from preorders to vendors until distribution to stores. This research was conducted to develop a web-based application of SMEs product distribution management with CMS Shopify integration in Netasia Singapore. This research was conducted using Research and Development (RnD) method for research approaches and prototyping method for software development. The prototyping method often involves communication between developers and the company as application users, so that the application undergoes several changes. As the result of this research, the application has been successfully integrated with the data from the company's CMS Shopify through the API using cURL. The application was tested with several testing methods such as 1) black-box testing with 100% succeed percentage so the application is proper to use, 2) white-box testing with cyclomatic complexity of 4 and 100% succeed percentage for value test so the application passed the software engineering criteria, 3) User Acceptance Testing (UAT) with 94% average percentage so the application meets user expectations, and 4) browser application compatibility testing with the results that the application is compatible with all of the browser applications specified in this research for the menus function aspect, and less compatible with the Internet Explorer browser for the user interface aspect.

Data Protection Software for Civil Aviation Control Flight Information System Based on FPE Algorithm

This study is aimed in order to study the data protection software of civil aviation management flight information system based on FPE algorithm. The author established the data warehouse software of the air traffic control production information statistics system. First, using the Jquery browser application framework + service-oriented Web Service architecture technology, a B/S/S multilayer data application based entirely on browser applications is established. Then, with the support of the ATC production information statistical data warehouse software and the system application framework, the system realizes a series of production data processing related to production information management, such as data collection, data editing, data review, and business data statistics. Finally, combined with the attributes of business data, we analyze and compare all kinds of production information from multiple dimensions such as time and region; it also provides users with data analysis results of curve, pie, column, and other performance situations, display mode, and report output tool. SQL statement can be implemented to add data to the database, modify the existing data in the database, delete the existing data in the database, and can be queried in a variety of ways to the data in the database, and VB provides a human-computer interaction interface for various operations.

Covert Channel Construction Method Based on HTTP Composite Protocols

Aiming at the problems of low concealment of existing storage-type covert channels, high bit error rate, and low transmission rate of time-type covert channels, this paper proposes a method of constructing covert channels based on HTTP protocol combination. The method simulates browser application to send HTTP requests, dynamically distributes HTTP requests to different browsers, embeds hidden information by mathematical combination, and dynamically adjusts access objects, data packet time interval, and data packet length, thus improving the concealment of the channel. At the same time, the channel is based on the reliable transmission inside TCP protocol so that it is not affected by network jitter, thus ensuring the reliability of the channel. Experimental results show that this method can resist the detection method based on application signature, protocol fingerprint detection method, and combination model detection method, and has strong concealment. It can adjust the concealment and channel capacity according to the application scenario.

Spatial Transcriptomics Reveal Potential Sex Differences in Gene Expression of the Supraoptic Nucleus

The supraoptic nucleus (SON) of the hypothalamus contains magnocellular neurosecretory cells that play a key role in the regulation of fluid and electrolyte homeostasis. Although there are many well‐known sexually dimorphic regions of the hypothalamus, little is known about whether this is also true for the SON and whether there are sex differences in SON gene expression. Our study aims to address this knowledge gap by leveraging spatially‐resolved transcriptomics to better visualize gene expression profiles of cells in the SON of male and female rats and gain insight on their physiological functions without sacrificing morphological context. Visium Spatial Gene Expression (10x Genomics) was used to obtain spatially‐resolved gene expression data for the SON of adult male (n=3) and female (n=3) Sprague‐Dawley rats. Briefly, each brain was sectioned at 10μm thickness to collect coronal sections (~4x4mm) containing the SON and other brain structures. Each section was then mounted on the capture areas of Visium slides containing probes that bind mRNA. Next, the sections underwent the workflow as follows: 1) sample staining and imaging, 2) cDNA library preparation, 3) sequencing, and 4) analysis/data visualization. Data were analyzed using 10x Genomics’ Space Ranger and Loupe Browser applications to overlay spatial gene expression data with reference images. Results show that gene cluster analysis successfully differentiated myelinated fiber tracts from nuclei and identified several distinct neuronal populations in the coronal brain sections from both male and female rats. From the list of significant genes after performing differential expression analysis on the SON region using 10x Genomics’ Loup Browser, 74/157 genes were unique to the males, 228/311 genes were unique to the females, and 83 genes (e.g., Avp and Oxt) were common to both sexes. Preliminary Gene Ontology (GO) Enrichment and pathway analyses revealed GO terms and pathways related to: 1) homeostatic processes, regulation of peptide hormone secretion, and ion transport for the common genes; 2) ribosomes and translation for the significant genes unique to males; and 3) neurotransmitter release cycle and synaptic transmission for the significant genes unique to females, as some examples. These spatially‐resolved transcriptomic data suggest potential sex differences in SON gene expression that may be associated with processes and pathways important for osmoregulation and fluid balance. Future spatial transcriptomic studies will investigate changes in SON gene expression that contribute to sex differences in cellular mechanisms involved in body fluid homeostasis and possibly pathophysiology.

BINANA 2: Characterizing Receptor/Ligand Interactions in Python and JavaScript.

BINding ANAlyzer (BINANA) is an algorithm for identifying and characterizing receptor/ligand interactions and other factors that contribute to binding. We recently updated BINANA to make the algorithm more accessible to a broader audience. We have also ported the Python3 codebase to JavaScript, thus enabling BINANA analysis in the web browser. As proof of principle, we created a web-browser application so students and chemical-biology researchers can quickly visualize receptor/ligand complexes and their unique binding interactions.

The Development of A Tourism Information System Website in Kepahiang District Using The Rabin-Karp Algorithm

Kepahiang Regency is one of the regencies in Bengkulu province which has a natural tourist attraction destination. Some of these potentials include kabawetan tea plantations and Suro Ilir dam, Raflesia flower nature reserve, agro tirto, glagah estuary lake and black hill waterfall. The potential for natural tourism in Kepahiang district is very interesting because of the geographical location of Kepahiang district. With all the attractions on offer, it would be a pity if it was not accompanied by an attractive tourism promotion as well. One of the efforts to increase the number of tourists is to build applications that can make it easier for users to travel. Applications that can accommodate tourist needs data, especially regarding data on tourist attractions, lodging, culinary and historical places that can be visited. A tourism website that is equipped with a gallery so that it can increase the interest of tourists to come to visit. The application is built using the PHP and MySQL programming languages so that it can be accessed only using a browser application. Applications that are intended for users do not need to use a login system so that they can be accessed by anyone and anywhere. The implementation of rabin karp in the application has not been maximized because it has not been able to follow the formal concept of the algorithm, but the application can find the data sought with a similar concept because the search is carried out on every word contained in the tourist, hotel and culinary name data. The application can display complete tourist, culinary and hotel data along with the location on the map but cannot provide assistance on the closest route to visit the place you want to go on the map.

A Comparative Study on Webpage Browsing Performance between Proprietary and Open Source Operating Systems on Wireless Networks

This experimental research study determined and compared the webpage browsing performance of proprietary and open source operating systems on wireless networks. It was intended to reveal the significant differences in the webpage browsing performance between proprietary and open source operating systems on wireless networks when classified as to hardware specifications and type’s web content. The researchers used the JavaScript Console of the Google Chrome web browser application to determine the time of the webpage to fully load. Operating system was the independent variable. Hardware specifications which were classified as old system and new system and types of web content which was also classified as static and dynamic webpages were the intervening variables. Webpages browsing performance was the dependent variable. The statistical tools used were arithmetic mean, and t-test. It also revealed that there were significant differences in the webpage browsing performance between proprietary and open source operating system on wireless networks when classified as to hardware specification and web content. The proprietary and open source operating systems were statistically different when classified as to hardware specifications and type of web content.

Comparative genome analysis of plant ascomycete fungal pathogens with different lifestyles reveals distinctive virulence strategies

BackgroundPathogens have evolved diverse lifestyles and adopted pivotal new roles in both natural ecosystems and human environments. However, the molecular mechanisms underlying their adaptation to new lifestyles are obscure. Comparative genomics was adopted to determine distinct strategies of plant ascomycete fungal pathogens with different lifestyles and to elucidate their distinctive virulence strategies.ResultsWe found that plant ascomycete biotrophs exhibited lower gene gain and loss events and loss of CAZyme-encoding genes involved in plant cell wall degradation and biosynthesis gene clusters for the production of secondary metabolites in the genome. Comparison with the candidate effectome detected distinctive variations between plant biotrophic pathogens and other groups (including human, necrotrophic and hemibiotrophic pathogens). The results revealed the biotroph-specific and lifestyle-conserved candidate effector families. These data have been configured in web-based genome browser applications for public display (http://lab.malab.cn/soft/PFPG). This resource allows researchers to profile the genome, proteome, secretome and effectome of plant fungal pathogens.ConclusionsOur findings demonstrated different genome evolution strategies of plant fungal pathogens with different lifestyles and explored their lifestyle-conserved and specific candidate effectors. It will provide a new basis for discovering the novel effectors and their pathogenic mechanisms.

Pelatihan Google Bisnisku Untuk Meningkatkan Pemasaran Pada Karang Taruna Tunas Mandiri Desa Sukaharja

One way to market and promote sales products can be through online media such as websites, marketplaces, Google My Business, Instagram, Facebook and the currently famous TikTok. Google my business is a medium that can help marketing to promote products. Tunas Mandiri youth organizations are located in Sukaharja village, Ciomas, Bogor. Many of the youth organizations have businesses or production and the Tunas Mandiri youth organizations also open up business fields for the community to improve their economy. However, the current marketing and promotions are still less effective, so we need a medium like Google My Business, but there are still many of them who don't understand about Google My Business, such as: (1) Members of the Tunas Mandiri youth organization do not understand the use of web browser applications or the Google browser. (2). Most members of the Tunas Mandiri youth group are not familiar with Google My Business. (3) Some members of the Tunas Mandiri youth organization who are familiar with Google My Business, still don't understand how to manage a business that will be displayed on Google searches, maps, edit business information (for example, address, phone number, and opening hours). Therefore, the Google My Business training is held in the hope that it can make marketing and promotion easier and can reduce operational costs.

Evaluation of the College English Flipped Classroom Teaching Model Based on Data Mining Algorithms

Aiming at the problem of the inability to classify data due to the excessive amount of teaching resources, which leads to the college English flipped classroom teaching model’s low resource sharing rate and the poor accuracy of score statistical analysis, a university-based data mining algorithm is designed. Research on the evaluation of english flipped classroom teaching model is conducted, the strategy of applying the flipped classroom in college English teaching is analyzed, the characteristics and advantages of this model are explored, the data mining algorithm to practical teaching is applied, and the decision tree C4.5 classification technology is used to achieve accurate classification of massive student test scores. The classification technology selects classification attributes based on the information gain rate. It uses the postpruning method to process data to improve the accuracy of data classification. Finally, the statistical analysis results of the business logic layer are transmitted to the user through the browser application layer using the WEB server. The experimental results show that using this article’s evaluation method, the college English flipped classroom teaching model can achieve a high resource sharing rate, high accuracy of performance statistics analysis, and a good teaching effect.

Performance evaluation of campus network involving VLAN and broadband multimedia wireless networks using OPNET modeler

Modern technology is essential for all healthy, economic, and educational sectors. Using modern technology involves high-performance networks in terms of quality of service (QoS) parameters such as delay, throughput, bandwidth, and security. A campus network involves wire and the wireless environment with and without virtual local area network (VLAN) technology has been simulated using optimized network engineering tools (OPNET). The simulation model includes four scenarios that involve heavy-loaded File transfer protocol (FTP) and web browsing applications with two logical groups of users. The simulation results show that the VLAN overcome LAN networks in terms of bandwidth and security. This has been done by reducing the throughput in both sending and receiving levels to the confidential servers. The VLAN has also reduced the broadcast domain which results in a high-power efficiency. Moreover, the VLAN network technology has been proved to have lower values of delay in transferring files and packets than LAN network technology. In addition, VLAN technology generally has been decreased values of throughput regardless of the way of connection between servers and workstations. This, in turn, allows taking advantage of wireless connection features in terms of flexibility of installation and speed of configuration.

Energy Efficient and VM Consolidation Framework using Improved Spider Monkey Optimization Algorithm

Cloud Computing is rapidly being utilized to operate informational technological services by outstanding technologies for a variety of benefits, including dynamically improved resources planning and a new service delivery method. The Cloud computing process is occurred by allowing the client devices for data access through the internet from a remote server, computers, and the databases. An internet connection is linked among the front end users such as client device, network, browser, and software application with the back end that constitutes of servers, computers, and database. For satisfying the demands of the Service Level Agreement (SLA), providers of cloud service should reduce the usage of energy. Capacity reservations oriented system is available by clouds’ providers to permit users for customizing Virtual Machines (VMs) having specified age and geographic resources, reduces the amount to be paid for cloud services. To overcome the aforementioned issue, an Improved Spider Monkey Optimization (ISMO) approach is proposed for cloud center optimization. The VM consolidation architecture based on the proposed ISMO algorithm decreases energy usage while attempting to prevent Service Level Agreement breaches. The accessibility of hosts or virtual machines (VMs) for task performance is measured by fitness. If the number of tasks to be handled increases the hosts of VMs available at right state. The proposed VM consolidation architecture decreases energy usage while also attempting to prevent Service Level Agreement breaches and also provide energy-efficient computing in data centers. The proposed approach may be utilized to provide energy-efficient computing in data centers. The energy efficiency of the proposed ISMO method is achieved 28266 whereas, the existing algorithm showed an energy efficiency of 6009 and 10001.

Metadata Made Easy: Develop and Use Domain-Specific Metadata Schemes by following the dmdScheme approach.

Metadata plays an essential role in the long‐term preservation, reuse, and interoperability of data. Nevertheless, creating useful metadata can be sufficiently difficult and weakly enough incentivized that many datasets may be accompanied by little or no metadata. One key challenge is, therefore, how to make metadata creation easier and more valuable. We present a solution that involves creating domain‐specific metadata schemes that are as complex as necessary and as simple as possible. These goals are achieved by co‐development between a metadata expert and the researchers (i.e., the data creators). The final product is a bespoke metadata scheme into which researchers can enter information (and validate it) via the simplest of interfaces: a web browser application and a spreadsheet.We provide the R package dmdScheme (dmdScheme: An R package for working with domain specific MetaData schemes (Version v0.9.22), 2019) for creating a template domain‐specific scheme. We describe how to create a domain‐specific scheme from this template, including the iterative co‐development process, and the simple methods for using the scheme, and simple methods for quality assessment, improvement, and validation.The process of developing a metadata scheme following the outlined approach was successful, resulting in a metadata scheme which is used for the data generated in our research group. The validation quickly identifies forgotten metadata, as well as inconsistent metadata, therefore improving the quality of the metadata. Multiple output formats are available, including XML.Making the provision of metadata easier while also ensuring high quality must be a priority for data curation initiatives. We show how both objectives are achieved by close collaboration between metadata experts and researchers to create domain‐specific schemes. A near‐future priority is to provide methods to interface domain‐specific schemes with general metadata schemes, such as the Ecological Metadata Language, to increase interoperability.

Design and usability testing of an in-house developed performance feedback tool for medical students

BackgroundFeedback is essential in a self-regulated learning environment such as medical education. When feedback channels are widely spread, the need arises for a system of integrating this information in a single platform. This article reports on the design and initial testing of a feedback tool for medical students at Charité-Universitätsmedizin, Berlin, a large teaching hospital. Following a needs analysis, we designed and programmed a feedback tool in a user-centered approach. The resulting interface was evaluated prior to release with usability testing and again post release using quantitative/qualitative questionnaires.ResultsThe tool we created is a browser application for use on desktop or mobile devices. Students log in to see a dashboard of “cards” featuring summaries of assessment results, a portal for the documentation of acquired practical skills, and an overview of their progress along their course. Users see their cohort’s average for each format. Learning analytics rank students’ strengths by subject. The interface is characterized by colourful and simple graphics. In its initial form, the tool has been rated positively overall by students. During testing, the high task completion rate (78%) and low overall number of non-critical errors indicated good usability, while the quantitative data (system usability scoring) also indicates high ease of use. The source code for the tool is open-source and can be adapted by other medical faculties.ConclusionsThe results suggest that the implemented tool LevelUp is well-accepted by students. It therefore holds promise for improved, digitalized integrated feedback about students’ learning progress. Our aim is that LevelUp will help medical students to keep track of their study progress and reflect on their skills. Further development will integrate users’ recommendations for additional features as well as optimizing data flow.

Spatial Transcriptomics of Supraoptic Nucleus and Paraventricular Nucleus of the Hypothalamus

Magnocellular neurosecretory cells (MNCs) in the supraoptic nucleus (SON) and paraventricular nucleus (PVN) of the hypothalamus release oxytocin (OXY) and arginine vasopressin (AVP) into the peripheral circulation, playing a key role in the regulation of fluid and electrolyte homeostasis. Several groups have investigated transcriptomics in these regions; however, the data lack spatial context important for better understanding physiological functions of genes. Our study leverages spatially-resolved transcriptomics to visualize the relationship between cells, their gene expression profiles, and their relative locations within a tissue sample. Here, we use a novel spatial transcriptomics technology, Visium Spatial Gene Expression, manufactured by 10x Genomics to obtain spatially-resolved gene expression data for the SON and PVN of an adult male Sprague-Dawley rat. Briefly, a fresh frozen brain was sectioned at 10μm thickness to collect four sections (~4x4mm) containing SON and PVN regions. The tissue was then mounted and fixed on the capture areas of a Visium slide containing probes that bind mRNA. Next, hematoxylin and eosin (H&E) staining and high-resolution imaging of the slide was performed prior to tissue permeabilization. The permeabilization releases mRNA from cells that then binds to capture probes on the slide beneath the tissue. cDNA is then synthesized from captured mRNA from which sequencing libraries are prepared. Sequence data is then visualized, using 10x Genomics’ Space Ranger and Loupe Browser applications, to overlay spatial gene expression data with our H&E stained images. Foremost, our results show that gene cluster analysis successfully differentiated myelinated fiber tracts from nuclei and identified several distinct neuronal populations. Gene clusters overlaying fiber tracts contain glia-specific markers (e.g., Mbp and Gfap) and those overlaying SON and PVN regions contain neuron-specific markers (e.g., Syn1 and Nrgn). These data also have the resolution to resolve OXY- and AVP-specific clusters in the SON via targeted gene analysis, with anatomical distribution consistent with immunohistochemistry results for the regions. Additionally, our results show clustering of SON with magnocellular PVN, while parvocellular PVN was a different cluster. Differential expression analysis of these two clusters revealed relevant genes for the distinct regions and neuronal subpopulations in the top 20 globally distinguishing genes (e.g., Avp and Oxt for SON and magnocellular PVN cluster and Trh for parvocellular PVN cluster). This spatially-resolved transcriptomic data allows us to obtain whole transcriptomic data without sacrificing morphological context (e.g., SON and PVN regions). Future spatial transcriptomic studies can be used to investigate changes in MNC gene expression in terms of sex differences and disease models that can potentially inform cellular mechanisms involved in pathophysiology.

Developing and Implementing Cloud-Based Tutorials That Combine Bioinformatics Software, Interactive Coding, and Visualization Exercises for Distance Learning on Structural Bioinformatics

The COVID-19 pandemic has swiftly forced a change in learning strategies across educational institutions, from extensively relying on in-person activities toward online teaching. It is particularly difficult to adapt courses that depend on physical equipment to be now carried out remotely. This is the case for bioinformatics, which typically requires dedicated computer classrooms, as the logistics of granting remote access to a workstation or relying on the computational resources of each student is not trivial. A possible workaround is using cloud server-based computing resources, such as Google Colaboratory, a free web browser application that allows the writing and execution of Python programming through Jupyter notebooks, integrating text, images, and code cells. Following a cloud-based approach, we migrated the practical activities of a course on molecular modeling and simulation into the Google Colaboratory environment resulting in 12 tutorials that introduce students to topics such as phylogenetic analysis, molecular modeling, molecular docking, several flavors of molecular dynamics, and coevolutionary analysis. Each of these notebooks includes a brief introduction to the topic, software installation, execution of the required tools, and analysis of results, with each step properly described. Using a Likert scale questionnaire, a pool of students positively evaluated these tutorials in terms of the time required for their completion, their ability to understand the content and exercises developed in each session, and the practical significance and impact that these computational tools have on scientific research. All tutorials are freely available at https://github.com/pb3lab/ibm3202.

Development of electronic rubric to assess improvement of employability skills student

This research is carried out on the basis of the need for assessment tools to assess employability skills. Assessment which made refer to the applicable competency standard and adjusted to the needs of each proficiency field. The urgency of this research is to design an electronic rubric evaluation tool for educators. This study aims to develop electronic rubric in measuring employability skills due to the condition which not every skills assessment uses standard assessment tools, it encourages researcher to develop assessment tools that can be used as the process of measuring employability skills by work based learning. The research method that used is Design Based Research to develop prototypes of performance evaluation tool or performance assessment. The design of performance assessment in this research is web based using SmartRubric platform. The SmartRubric application uses browser technology and is accessed through a computer network. Besides using a computer or laptop system on this application is also using mobile, such as mobile phones, smartphone, tablet PC, Mac, Android, BB and others, as long as the device has a browser application for internet access. The SmartRubric application has a program that is stored on the Server and sent via the internet and accessed through a browser interface, so that it can be accessed using a web browser through an internet network or intranet. The use of SmartRubric application through computer software that is coded in a programming which supports web-based software namely HTML, JavaScript, CSS, Ruby, Python, Php, Java and any other programming.

Constructing online concept maps in CMap Cloud collaboratively: Connecting pathways in case scenarios.

Learning metabolic pathways is vital for understanding biochemical processes and all of their implications for life. Their learning in the virtual environment is complex and generative learning strategies, such as the construction of online conceptual maps, can help in this process. This article presents a proposal for the collaborative construction of virtual concept maps on metabolism by students in the CMap Cloud browser application (free). A sequence of steps is suggested, which include online group brainstorming and discussions, peer assessment, and teachers feedback. This proposal is flexible and can be adapted to the didactic and technological reality of each teacher.