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Quality of Experience (QoE) for mobile Web browsing is a complex and multidimensional concept. So far, the research community has addressed the influence of QoE perceptual dimensions on QoE and the impact of various influence factors on QoE perceptual dimensions for mobile Web browsing. In this study, we recognize the gap and need to analyze and gain a deeper understanding of the relationship between multiple influence factors and specific constructs of QoE perceptual dimensions. Utilizing a previously collected dataset, our goal is to fill the research gap in terms of investigating the impact of specific influence factors (loading time, aesthetics, number of taps, information quality) on various constructs comprising the user perception of usability, aesthetics, and information quality in the context of mobile Web browsing. A total of 14 research questions are raised: 7 addressing constructs comprising perceived usability (simplicity, effectiveness, quickness, efficiency, comfort, ease of use, organization), 3 addressing constructs comprising perceived aesthetics (perception of mobile Web site aesthetics, pleasance, clarity, systematicness), and 4 addressing constructs comprising perceived information quality (timeliness, clarity, conciseness, structuralism/completeness/spelling-correctness). Results of posed research questions provide indications on the strength and direction of the impact of considered QoE influence factors on the perception of studied constructs. This study contributes to the research community by being the first to address the impact of chosen QoE influence factors on individual constructs comprising QoE perceptual dimensions in the domain of mobile Web browsing, thus extending the knowledge on interplays and relations in this area. Furthermore, it contributes by revealing numerous new paradigms in the context of usability, aesthetics, and quality of information, such as: (i) beautiful and easy to reach is more simple, effective, efficient, and comfortable, (ii) easy to reach is more pleasant and clear, (iii) informative is more pleasant and clear, (iv) beautifully presented information has higher perceived quality, etc. Reported findings can be utilized by various stakeholders (mobile Web site designers, content providers, device designers, network providers) for indirect management of QoE. [ABSTRACT FROM AUTHOR]

America is said to be more polarized than ever before, and extensive research examines the causes and effects of political polarization. A less studied but more pronounced trend is that citizens perceive society and politics as sharply divided. We focus on news exposure as a key reason for these perceptions. We disentangle the unique effects of exposure to partisan outlets and to news coverage of polarization in general, whether in partisan or centrist news media. We rely on 9 months of online behavioral data (127,400,000 visits) from large samples in the U.S. and Poland (total N = 2,462 & 2,120), paired with a three-wave panel survey on participants' attitudes and perceptions. We measure individual exposure, over-time and unobtrusively, to partisan outlets as well as to news coverage of polarization through a fine-tuned BERT-based machine learning classifier. We find that both exposures increase perceived polarization, independently, in both countries. Yet, in both contexts, it is news coverage of polarization, regardless of whether it is ideologically left, right, or centrist news outlets, that is the strongest driver of perceived polarization. These changes are confined to personal-level polarization (perceived distance between oneself and members of the opposing party), while no measure significantly influences perceptions of society, more generally, as being polarized. These findings have important implications for our understanding of how the media’s increasing tendency to focus on conflict as a central reporting frame can be the driver of often exaggerated perceptions of partisan divisions. [ABSTRACT FROM AUTHOR]

Incivility, that is, the breaking of social norms of conversation, is evidently prevalent in online political communication. While a growing literature provides evidence on the prevalence of incivility in different online venues, it is still unclear where and to what extent Internet users are exposed to incivility. This paper takes a comparative approach to assess the levels of incivility across contexts, content and personal characteristics. The pre-registered analysis uses detailed web browsing histories, including public Facebook posts and tweets seen by study participants, in combination with surveys collected during the German federal election 2021 (N = 739). The level of incivility is predicted using Google's Perspective API and compared across contexts (platforms and campaign periods), content features, and individual-level variables. The findings show that incivility is particularly strong on Twitter and more prevalent in comments than original posts/tweets on Facebook and Twitter. Content featuring political content and actors is more uncivil, whereas personal characteristics are less relevant predictors. The finding that user-generated political content is the most likely source of individuals' exposure to incivility adds to the understanding of social media's impact on public discourse. [ABSTRACT FROM AUTHOR]

The use of mobile devices for web browsing has increased extraordinarily in recent years, becoming the main source of information. Unfortunately, developers cannot meet the needs of all users. As a result, users have been forced to adapt web content to their needs. Additionally, users face more costly interactions than on desktop computers due to the smaller screen size of cell phones. These interactions include URL typing, scrolling, taping, branching and tab-switching. If the number of web resources is large, the activity becomes unpleasant. Furthermore, should the quantity of interactions be extensive, the web experience also becomes unpleasant. Moreover, all these interactions lead to higher costs in terms of phone time and battery life, as well as more costly navigation. Web augmentation enhances the user web experience by adding content from different resources, modifying the original layout, or reducing interactions during web searches, among other benefits. To reduce user interactions and satisfy their information necessities, we propose MAWA, an extension for Firefox mobile that allows users to adapt any web page to their needs through web augmentation techniques. To validate our proposal, an evaluation of the tool has been carried out. The article presents the benefits introduced by MAWA as a response to the inconveniences experienced by users when performing their activities in the mobile browser. The results obtained show that MAWA is able to reduce the number of interactions significantly, as well as to reduce battery consumption and the time needed to obtain the desired information. In addition, users perceive that navigation is less cluttered. [ABSTRACT FROM AUTHOR]

The use of individual-level browsing data, that is, the records of a person's visits to online content through a desktop or mobile browser, is of increasing importance for social scientists. Browsing data have characteristics that raise many questions for statistical analysis, yet to date, little hands-on guidance on how to handle them exists. Reviewing extant research, and exploring data sets collected by our four research teams spanning seven countries and several years, with over 14,000 participants and 360 million web visits, we derive recommendations along four steps: preprocessing the raw data; filtering out observations; classifying web visits; and modelling browsing behavior. The recommendations we formulate aim to foster best practices in the field, which so far has paid little attention to justifying the many decisions researchers need to take when analyzing web browsing data. [ABSTRACT FROM AUTHOR]

Website fingerprinting (WF) attacks on Tor enable a passive adversary to predict the encrypted web browsing activity of a victim by matching the eavesdropped traffic with pretrained classifiers. Nowadays, deep learning-based methods have led to significant achievements in the single-tab Tor WF attack. However, the practical implementation of these single-tab methods is challenging due to most real-world Tor traffic involving multiple tabs. Existing single-tab methods hardly identify multi-tab WF due to the overlapping areas of the traffic trace confusing the original features. In this paper, we propose a Trace Image-based Object Detection model named TIOD as a novel multi-tab attacking model. Specifically, we model the traffic overlap in Tor as the object overlap in object detection tasks from the computer vision field. Besides, we propose a special S-matrix scheme to convert a trace into an image: (i) Retaining the original features by keeping the direction and order of the cells and (ii) Bringing cells of the same page closer together in space. We then utilize a specially designed object detection model for trace images, WF R-CNN, to extract features and identify potential destination websites within multi-tab traces. Comparative analysis with other multi-tab attacks is conducted, and the empirical results consistently underscore the superior performance of the proposed trace image model across diverse datasets. In the two-tab setting, TIOD achieves the best accuracy with more than 85% on both the first and second tabs. [ABSTRACT FROM AUTHOR]

The development of Web 3.0 is aimed at utilizing available information to enhance users' experiences of searching, allowing this process to be catered by different users to their own needs. However, websites do not make life easier for blind users. Unconditional situations lead to the frustration and total exclusion of blind users. To overcome the accessibility problems, this study aims to develop a blind user mental model (BlUMM) for browsing websites. We conducted a qualitative empirical study via usability test with structured interviews and task analysis in five different scenarios on a website using JAWS screen reader. Six blind users participated in this study. Their feedback was recorded on a video and transcribed into a GOMS model. From the activities, the participants indicated the challenges they faced to accomplish the tasks. The information obtained was analyzed, and BlUMM was developed based on Nielsen's usability principles, GOMS model, and Norman's action cycle model. The methodology was divided into three phases. Phase 1 was the identification of the challenges encountered by blind users while browsing the website. Phase 2 was the analysis of the ability of the blind users to accomplish tasks. Phase 3 involved mapping the blind users' actions. As a result, the BlUMM was developed with 14 elements, which were set/plan the goal, explore the browser/website, apply the existing mental model, discover new features, select features, predict the feedback, execute the plan, execute the task, perceive the feedback, interpret the feedback, change strategy, accomplish the goal, update the strategy, and implement the new mental model with four stages of user action: planning, selection, execution, and evaluation. [ABSTRACT FROM AUTHOR]

As the complexity and integration of electronic devices increase, understanding and mitigating side-channel vulnerabilities will remain a critical area of cybersecurity research. The new and intriguing software-based thermal side-channel attacks and countermeasures use thermal emissions from a device to extract or defend sensitive information, by reading information from the built-in thermal sensors via software. This work extends the Hot-n-Cold anomaly detection technique, applying it in circumstances much closer to the real-world computational environments by detecting irregularities in the Linux command behavior through CPU temperature monitoring. The novelty of this approach lies in the introduction of five types of noise across the CPU, including moving files, performing extended math computations, playing songs, and browsing the web while the attack detector is running. We employed Hot-n-Cold to monitor core temperatures on three types of CPUs utilizing two commonly used Linux terminal commands, ls and chmod. The results show a high correlation, approaching 0.96, between the original Linux command and a crafted command, augmented with vulnerable system calls. Additionally, a Machine Learning algorithm was used to classify whether a thermal trace is augmented or not, with an accuracy of up to 88%. This research demonstrates the potential for detecting attacks through thermal sensors even when there are different types of noise in the CPU, simulating a real-world scenario. [ABSTRACT FROM AUTHOR]

Classifying user browsing behavior is an essential task to put suitable information on the web. Also, the browsing behavior is stored in the web server logs, which are used for identifying and classifying commonly assessed patterns of web users. This work designs a Butterfly-based Recurrent Neural Scheme (BbRNS) for accurate classification of the web user browsing behavior based on the URLs. It involves preprocessing, feature extraction, and classification. Generally, preprocessing removes the error, and feature extraction is employed to extract the web user browsing URLs. Then, updating the fitness function in the classification layer for accurate prediction of the browsing behavior of web users also enhances the performance of user behavior detection. Consequently, the developed framework is implemented using a Python tool, and the parameters of the current research work are evaluated with prevailing assignments. The designed model gained 98.8 accuracies, 97.5% recall, and 98% precision for predicting and classifying web user behavior. The experimental result shows improved accuracy for classifying web user browsing behavior with less error rate. [ABSTRACT FROM AUTHOR]

The Web has become an essential resource but is not yet accessible to everyone. Assistive technologies and innovative, intelligent frameworks, for example, those using conversational AI, help overcome some exclusions. However, some users still experience barriers. This paper shows how a human-centered approach can shed light on technology limitations and gaps. It reports on a three-step process (focus group, co-design, and preliminary validation) that we adopted to investigate how people with speech impairments, e.g., dysarthria, browse the Web and how barriers can be reduced. The methodology helped us identify challenges and create new solutions, i.e., patterns for Web browsing, by combining voice-based conversational AI, customized for impaired speech, with techniques for the visual augmentation of web pages. While current trends in AI research focus on more and more powerful large models, participants remarked how current conversational systems do not meet their needs, and how it is important to consider each one's specificity for a technology to be called inclusive. [ABSTRACT FROM AUTHOR]

The primary goal of this study is to investigate and evaluate the performance of wireless Ad-Hoc routing protocols using the OPNET simulation tool, as well as to recommend the most effective routing strategies for the wireless mesh environment. Investigations have been testified to analyze the performance of the reactive and proactive Ad-Hoc routing protocols in different scenarios. Application and wireless metrics were configured that were used to test and evaluate the performance of routing protocols. The application metric includes web browsing metrics such as HTTP page response time, voice and video metrics such as end-to-end delay, and delay variation. The wireless network metrics include wireless media access delay, data dropped, wireless load, wireless retransmission attempts, and Packet Delivery Ratio. The simulations results show that the AODV overcome DSR and OLSR in terms of PDR (76%), wireless load (22.692 Mbps), voice delay variation (102.685 ms), HTTP page response time (15.317 sec), voice and video packet end-to-end delay (206.527 and 25.294 ms), wireless media access delay (90.150 ms), data dropped (10.003 Mbps), wireless load (22.692 Mbps), and wireless retransmission attempts (0.392 packets). [ABSTRACT FROM AUTHOR]

Multiple communication applications such as high-quality video streaming, IoT, cellular vehicle to anything, augmented reality, virtual reality, and low-latency web browsing make the cellular network heterogeneous. To seamlessly support heterogeneous functionality in the upcoming 6G mobile network, the open radio access network (O-RAN) Alliance is being formed. The O-RAN Alliance is a step towards defining a standard interface between systems. It aims to reduce complexity and accelerate the deployment of 6G mobile networks. However, in deploying the 6G mobile network, the efficient sharing of resources among heterogeneous users is challenging. We considered a novel ultra-dense heterogeneous 6G O-RAN-based cellular network architecture and proposed a multi-objective particle swarm optimization at both small cell base stations (SBSs) and macrocell base stations (MBSs) for collaborative resource optimization. Analytical expressions are derived for joint energy and spectrum optimization at SBS and MBS. The simulation results show that the proposed scheme has a noticeable effect on the optimization of the energy consumption of the system in different scenarios and prove that this algorithm has a remarkable convergence. [ABSTRACT FROM AUTHOR]

There has been a growth in e-commerce, presenting consumers with varied forms of advertising. A key goal of web advertising is to leave a lasting impression on the user, and web satisfaction is an important measure of the quality and usability of a web page after an ad is placed on it. This experiment manipulated participants' purpose in web browsing (free browsing versus goal oriented) and the color combination of the web background and the vertical-ad background (high or low hue contrast) to predict users' satisfaction with the web page and the degree of ad recall. The psychological mechanisms of this effect were also explored using an eye-tracking device to record and analyze eye movements. The participants were 120 university students, 64.2% of whom were female and 35.8% of whom were male. During free browsing, participants could simulate the daily use of a browser to browse the web and were given 120 s to do so, and in the task-oriented browsing condition, participants were told in advance that they had to summarize the headlines of each news item one at a time within 120 s. The results showed that, in the free-viewing task, the hue contrast between the ad–web background colors negatively affected web satisfaction and ad memory whereas there was no significant difference in this effect in the goal-oriented task. Furthermore, in the free-viewing task, the level of attentional intrusion mediated the effect of ad–web hue contrast on the degree of ad recall; color harmony mediated the effect of hue contrast on the user's evaluation of web satisfaction. These results can act as a new reference for web design research and marketing practice. [ABSTRACT FROM AUTHOR]

In the increasingly common online shopping nowadays, the use of data mining techniques to understand consumer preferences for browsing and contacting web pages is an important basis for the design of online store pages, which in turn has an impact on consumer purchase intentions. This paper takes consumers' purchase intention as the dependent variable, uses three elements of page color, content copy, and layout typography as the independent variables based on data mining techniques and theory of eye movement behavior, constructs the influence model, and puts forward seven research hypotheses. The method of questionnaire survey is used to obtain primary data. Through the SPSS statistical analysis method, the data are subjected to descriptive analysis, correlation analysis and regression analysis, so as to verify the regression model and research hypotheses. Through the statistical analysis of the questionnaire survey data, it is concluded that three major page style elements of page color, content copy, and layout typography have a positive impact on consumers' purchase intention, and the seven research hypotheses are proved to be valid. Through the theoretical and empirical research of data mining technology, based on the validation of the impact model and research hypotheses, three reference suggestions are proposed for online store page style design. [ABSTRACT FROM AUTHOR]

Developments in the field of educational technology have accelerated research on Technological Pedagogical and Content Knowledge (TPACK). As the number of the TPACK studies has been burgeoning, the need for a categorization study of the past research has emerged. Therefore, the objective of this systematic review study is to present a categorization table of TPACK studies in three main themes, namely, understanding TPACK, measuring TPACK and developing TPACK. In the study, the distribution of the articles in terms of the publishing year, country, methodology and the participants were aimed to investigate. For this purpose, 39 journal articles which were browsed in the Web of Science index and published between the years of 2013 and 2024 were examined. The results revealed that the number of the TPACK studies decreased from the year of 2021 on, the United States of America was the leading country with the most TPACK studies, quantitative design was the most preferred research design, and the majority of the studies were conducted with pre-service teachers for developing their TPACK level. [ABSTRACT FROM AUTHOR]

Intra‐ and inter‐organismal interactions play a crucial role in the maintenance and function of individuals, as well as communities. Extracellular vesicles (EVs) have been identified as effective mediators for the communication both within and between species. They can carry and transport molecular cargoes to transmit biological messages. Several databases (ExoBCD, ExoCarta, EVpedia, EV‐TRACK, Vesiclepedia) complied the cargoes information including DNA, RNA, protein, lipid and metabolite associated with EVs. Databases that refer to the complete records on both donor and recipient information are warranted to facilitate the understanding of the interaction across cells and species. In this study, we developed a database that compiled the records equipped with a structured process of EV‐mediated interaction. The sources of donor and recipient were classified by cell type, tissues/organs and species, thus providing an extended knowledge of cell‐cell, species‐species interaction. The isolation and identification methods were presented for assessing the quality of EVs. Information on functional cargoes was included, where microRNA was linked to a prediction server to broaden its potential effects. Physiological and pathological context was marked to show the environment where EVs functioned. At present, a total of 1481 data records in our database, including 971 cell‐cell interactions belonging to more than 40 different tissues/organs, and 510 cross‐species records. The database provides a web interface to browse, search, visualize and download the interaction records. Users can search for interactions by selecting the context of interest or specific cells/species types, as well as functional cargoes. To the best of our knowledge, the database is the first comprehensive database focusing on interactions between donor and recipient cells or species mediated by EVs, serving as a convenient tool to explore and validate interactions. The Database, shorten as EV‐COMM (EV mediated communication) is freely available at http://sdc.iue.ac.cn/evs/list/ and will be continuously updated. [ABSTRACT FROM AUTHOR]

This research discusses the information retrieval system through the UIN Raden Intan Lampung Repository. This research uses a qualitative research design with data collection using literature study, documentation, and observation. The information retrieval system in the UIN Raden Intan Lampung repository can be done through searching and browsing. Searching the repository can be done with simple search and advanced search. In a simple search, users can search by entering keywords, title, author, and subject. Searching uses Boolean operators, namely AND, OR, and NOT. Browsing at the UIN Raden Intan Lampung Repository can be done by year, subject, division, and author. Furthermore, searching for documents via browsing by author's name is also not optimal, this is due to differences in author name metadata input to different repositories, namely there are names that are reversed and not reversed, so this also requires user accuracy in searching the documents. [ABSTRACT FROM AUTHOR]

This article explores the concept of digital world literature and its relationship with coding, artificial intelligence, and the internet. It discusses the development of the World Wide Web and social media platforms as platforms for literary convergence and online communities. The article also examines the role of digital paratexts and the collaboration between writers and audiences in the digital age. It explores reading techniques, the influence of AI on authorship, and the integration of literature, media, and digital humanities. The objective of the article is to analyze the consequences of the convergence of these elements in contemporary literature. [Extracted from the article]

How does media exposure relate to support for radical right populist parties (RRPPs)? We contribute to this classic debate by analyzing the web browsing histories and survey responses of six thousand study participants in France, Germany, Italy, Spain, and the UK during the 2019 European Parliament election. Linking direct measures of online news exposure to voting behavior allows us to assess the effects of the salience of issues politicized by RRPPs on their electoral support. The likelihood to vote for RRPPs was higher when the EU was more salient in individual media diets, while exposure to the less salient issue of immigration did not increase the propensity to vote for RRPPs. Alongside consistent results for other party families and interactions with pre-existing voting intentions, the findings indicate that the electoral effects of online media are contingent on the overall salience of a specific issue and voters' predispositions. [ABSTRACT FROM AUTHOR]

This study was carried out to investigate Internet browsing and Web 2.0 competencies as correlates of effective management of institutional repositories by librarians in federal universities in South-South Nigeria. Utilizing a correlational design, the study answered three questions and tested three hypotheses. The cohort of 242 librarians from seven federal universities - 115 academic and 127 nonacademic - constituted the study's population. A stratified total census sampling approach was deployed to include all 242 librarians. Data gathering utilized two questionnaires: the "Librarian Internet Browsing and Web 2.0 Competencies Questionnaire (LIBWCQ)" and the "Effective Management of Institutional Repositories Questionnaire (EMIRQ)." Both tools were validated for face and content by experts and yielded Cronbach Alpha reliability coefficients of 0.75 and 0.77, respectively. Mean scores addressed the research questions, while regression analysis tested the hypotheses at a significance level of 0.05. Results indicated a 52% joint correlation between the librarians' web competencies and effective management of repositories, notably in activities like social media engagement and collaboration with faculty and students using the digital space. The study concluded and recommended that librarians should bolster their digital skills through professional development initiatives, such as workshops, webinars, and conferences, focusing on digital management and Web 2.0 tool application to keep up-to-date with technological advancements and best practices in the management of institutional repositories. [ABSTRACT FROM AUTHOR]

Fifth-generation (5G) networks provide network slicing capabilities, enabling the deployment of multiple logically isolated network slices on a single infrastructure platform to meet specific requirements of users. This paper focuses on modeling and analyzing resource capacity planning and reallocation for network slicing, specifically between two providers transmitting elastic traffic, such during as web browsing. A controller determines the need for resource reallocation and plans new resource capacity accordingly. A Markov decision process is employed in a controllable queuing system to find the optimal resource capacity for each provider. The reward function incorporates three network slicing principles: maximum matching for equal resource partitioning, maximum share of signals resulting in resource reallocation, and maximum resource utilization. To efficiently compute the optimal resource capacity planning policy, we developed an iterative algorithm that begins with maximum resource utilization as the starting point. Through numerical demonstrations, we show the optimal policy and metrics of resource reallocation for two services: web browsing and bulk data transfer. The results highlight fast convergence within three iterations and the effectiveness of the balanced three-principle approach in resource capacity planning for 5G network slicing. [ABSTRACT FROM AUTHOR]

Purpose: This paper aims to assess the legal and regulatory framework for mobile banking (M-banking) in Tanzania. The technological development in information and communication technologies has converted a mobile phone from a simple communication device to a very complex instrument that allows people to perform various digital transactions and extra operations such as web browsing and email reading. Such tremendous developments have brought in place the regime of M-banking. The birth of M-banking has brought legal and institutional challenges that were not anticipated before. It has complicated the traditional role of the telecommunication regulator and financial regulator in the business and caused legal gaps that need to be bridged. Design/methodology/approach: To disclose the legal gaps and bridge them, the study used doctrinal legal method and comparative study to learn the experience of international legal instruments and policies and laws of other jurisdictions. This paper has evaluated the contribution of international legal instruments and legal frameworks of foreign jurisdictions such as Kenya and the Philippines. Findings: It has been revealed that the prevailing laws regulating M-banking in Tanzania do not adequately address and bridge the existing legal gaps. There is a need to enact a specific law regulating M-banking and confer such powers to a specific institution to deal with regulatory issues. Originality/value: This paper stresses the importance of enacting new laws that will offer room for financial inclusion in the digital economy and protect consumers against financial risk. It also intends to act as a catalyst and change agent in policy and legislative development in the M-banking industry. It would also bring special attention to addressing consumer rights, security and risky issues surrounding the M-banking industry. Although several other authors in Tanzania have written in this area, they have not clearly focused on disclosing the existing legal gaps resulting from the convergence of the financial and communication sectors. This paper is therefore trying to offer an extensive discussion on the legislative development in the M-banking industry in Tanzania. [ABSTRACT FROM AUTHOR]

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In this paper, we present a corpus for heritage Bosnian/Croatian/Montenegrin/Serbian (BCMS) spoken in German-speaking Switzerland. The corpus consists of elicited conversations between 29 second-generation speakers originating from different regions of former Yugoslavia. In total, the corpus contains 30 turn-aligned transcripts with an average length of 6 min. It is enriched with extensive speakers' metadata, annotations, and pre-calculated corpus counts. The corpus can be accessed through an interactive corpus platform that allows for browsing, querying, and filtering, but also for creating and sharing custom annotations. Principal user groups we address with this corpus are researchers of heritage BCMS, as well as students and teachers of BCMS living in diaspora. In addition to introducing the corpus platform and the workflows we adopted to create it, we also present a case study on BCMS spoken by a pair of siblings who participated in the map task, and discuss advantages and challenges of using this corpus platform for linguistic research. [ABSTRACT FROM AUTHOR]

This study aims to build a wireless computer network for a large company or university to enhance mobility and allow university users to stay connected at any time or place, which is achieved by applying the Universal Interoperability for Microwave Access (WiMax) technology. WiMax is based on the 802.16 sets of standards and has the most efficient and advanced hardware capabilities to meet the demands of teachers and students to browse the web or download files quickly. OPNET Modeler version 14.5 was used to determine the quality of service parameters of WiMax. [ABSTRACT FROM AUTHOR]

The Book of Mormon Art Catalog is a comprehensive collection of visual art based on the Book of Mormon, featuring images from various sources around the world. The catalog provides free and open access to over three thousand artworks, representing more than six hundred unique artists from fifty-one different countries. It includes information on copyright, scripture reference, country of origin, gender of the artist, and more. The catalog aims to be a resource for scholars, artists, and Church members, offering browsing categories and an advanced search tool for easy navigation. The project seeks to expand the understanding and appreciation of Book of Mormon art, promote diversity and inclusivity, and inspire new artistic production. [Extracted from the article]

The use of the unindexed web, commonly known as the deep web and dark web, to commit or facilitate criminal activity has drastically increased over the past decade. The dark web is a dangerous place where all kinds of criminal activities take place, Despite advances in web forensic techniques, tools, and methodologies, few studies have formally tackled dark and deep web forensics and the technical differences in terms of investigative techniques and artefact identification and extraction. This study proposes a novel and comprehensive protocol to guide and assist digital forensic professionals in investigating crimes committed on or via the deep and dark web. The protocol, named D2WFP, establishes a new sequential approach for performing investigative activities by observing the order of volatility and implementing a systemic approach covering all browsing-related hives and artefacts which ultimately resulted in improving the accuracy and effectiveness. Rigorous quantitative and qualitative research has been conducted by assessing the D2WFP following a scientifically sound and comprehensive process in different scenarios and the obtained results show an apparent increase in the number of artefacts recovered when adopting the D2WFP which outperforms any current industry or opensource browsing forensic tools. The second contribution of the D2WFP is the robust formulation of artefact correlation and cross-validation within the D2WFP which enables digital forensic professionals to better document and structure their analysis of host-based deep and dark web browsing artefacts. [ABSTRACT FROM AUTHOR]

Online advertising banners are often subject to banner blindness, meaning that people avoid looking at them. The current study examines whether web surfing while watching television, a form of media multitasking, influences how people respond to online ad banners. The experimental study examines whether people respond differently to an online ad banner which thematically fits with the website content (i.e., banner congruity) and which is animated (i.e., banner animation), taking into account the relevance between media tasks (whether the content of the television program and the website are related). Individuals' cognitive (visual attention paid to the banner, measured by eye-tracking technology) and attitudinal (online banner irritation) advertising responses are measured as dependent variables. The results indicate that during media multitasking with high task relevance, higher visual attention was obtained for an incongruent (versus congruent) ad banner. When task relevance was low, no such differences were found. This two-way interaction effect was not significant for banner irritation. Further, a significant three-way interaction with task relevance, banner congruity, and banner animation was found on banner irritation but not on visual attention. Concretely, the lowest levels of banner irritation were obtained for a congruent, animated banner in a media multitasking context with high task relevance. [ABSTRACT FROM AUTHOR]

Sequential pattern mining is one of the fundamental tools for many important data analysis tasks, such as web browsing behavior analysis. Based on frequent patterns, decision-makers can obtain both economic gains and social values. Sequential data, on the other hand, frequently contain sensitive information, and directly analyzing these data will raise user concerns from a privacy perspective. Differential privacy (DP), as the most popular privacy model, has been employed to address this privacy concern. Most existing DP-Solutions are designed to combine horizontal sequence pattern mining algorithms with differential privacy. Due to the inefficiency of horizontal algorithms, their DP-Solutions cannot ensure high efficiency and accuracy while offering a high privacy guarantee. Therefore, we proposed privVertical, a new private sequence pattern mining scheme combining the vertical mining algorithm with differential privacy to achieve the above objective. Unlike DP-solutions based on horizontal algorithms, privVertical can promote efficiency by avoiding performing costly database scans or costly projection database constructions. Moreover, to promote accuracy, a differentially private hash MapList (called privHashMap) is designed to record frequent concurrency items and their noisy support based on the Sparse Vector Technique. PrivHashMap is used to pre-pruning excessive infrequent candidate sequences in private mining, and Sparse Vector Technique is used to promote the accuracy of PrivHashMap. After pruning these invalid candidate sequences, less noise is required to achieve the same level of privacy, increasing the accuracy of private mining. Theoretical privacy analysis proves privVertical satisfies ε -differential privacy. Experiments show that privVertical achieves higher accuracy and efficiency while achieving the same privacy level. [ABSTRACT FROM AUTHOR]

Advertisements have become commonplace on modern websites. While ads are typically designed for visual consumption, it is unclear how they affect blind users who interact with the ads using a screen reader. Existing research studies on non-visual web interaction predominantly focus on general web browsing; the specific impact of extraneous ad content on blind users' experience remains largely unexplored. To fill this gap, we conducted an interview study with 18 blind participants; we found that blind users are often deceived by ads that contextually blend in with the surrounding web page content. While ad blockers can address this problem via a blanket filtering operation, many websites are increasingly denying access if an ad blocker is active. Moreover, ad blockers often do not filter out internal ads injected by the websites themselves. Therefore, we devised an algorithm to automatically identify contextually deceptive ads on a web page. Specifically, we built a detection model that leverages a multi-modal combination of handcrafted and automatically extracted features to determine if a particular ad is contextually deceptive. Evaluations of the model on a representative test dataset and 'in-the-wild' random websites yielded F1 scores of 0.86 and 0.88 , respectively. [ABSTRACT FROM AUTHOR]

This study employs the S-O-R Framework to investigate the factors influencing browsing and impulsive consumption of cosmetic products among Muslim women on TikTok Shop. The primary focus of this investigation is to understand impulsive buying behavior among Muslim women customers in Indonesia. The findings of this research offer valuable insights to companies and cosmetic brands seeking to enhance their marketing strategies for stimulating impulsive behavior among Muslim women customers on TikTok Shop. To gather data, an online survey was conducted, involving 100 Muslim women consumers. Covariance-based structural equation modeling was utilized to assess two hypotheses. The results indicate that store promotion has a positive and significant relationship with hedonic browsing. Additionally, hedonic browsing was found to have a positive and significant effect on impulse purchase behavior. The implications of these findings for managers and scholars are further discussed. [ABSTRACT FROM AUTHOR]

A study was conducted to determine the propensity of livestock farmers to adopt ICTs in the Barnala district of Punjab, India. The convenience sampling technique was used to select 60 livestock farmers from all three blocks of the Barnala district and the data was collected from respondent livestock farmers via direct interview using a pre-formulated schedule. Livestock farmers were using ICT (GADVASU apps) to enhance their farm income. The commonly used ICT tools were mobile phones, Internet browsing, newspapers, and television. The use of ICT (GADVASU apps) by livestock farmers was effective as it contributed to enhancing livestock productivity. Socio-economic and institutional factors significantly influenced the use and adoption of ICTs by livestock farmers. Tobit analysis results indicated that age, education level, herd size, and participation in extension activities were significant (p<0.1) determining factors influencing the adoption of ICTs. Farmers have small herd sizes, little experience using ICT, and higher education levels. Adoption of ICTs (GADVASU apps) may be sustainable among livestock farmers if the extension agencies prioritise developing strategies and programmes to educate farmers. The government also subsidises farmers so that they can purchase data and ICT tools. [ABSTRACT FROM AUTHOR]

In re Facebook preserved a class action brought against Facebook based on its mass collection of web browsing data. Although the plaintiffs brought several common law and statutory causes of action, I will focus on the court's analysis of intrusion upon seclusion. This is where the case makes its greatest contribution to 21st century jurisprudence. It clears up several puzzles that had troubled the tort (and indeed my own thinking) to the great benefit of tort theory and the progress of privacy law. [ABSTRACT FROM AUTHOR]