RSS Feeds Research Articles

Adopting a personal learning environment and network to strengthen students’ self-directed and life-long learning attributes

This study explored the implementation of a learner-centered interactive platform termed “Personal Learning Environment and Network (PLE&N)” in fostering a connected, deep, and personalized learning environment for accommodating students' diverse and unique learning needs. Leveraging the network-based and technology-enhanced PLE&N model introduced by the course instructor, students actively engaged with peers, instructors, experts, and professionals in a collaborative learning environment. As the successful implementation of PLE&N extensively relied on the student’s contribution to the PLE&N platforms, they were rewarded with up to 10% of the total marks, which was counted toward the final grading in the subject. Through active and meaningful engagement in the PLE&N platform, students enhanced their learning horizons beyond the traditional classroom boundaries, accessing and exchanging vital and cutting-edge knowledge within their fields of interest, while effectively managing information overload by collaborative effort through PLE&N. The post-study questionnaire survey indicated that the majority of the students (80%) found useful content posted on PLE&N and highly agreed that PLE&N postings improved their understanding of the subject knowledge. Moreover, the integration of constructivist and connectivist pedagogies within PLE&N positively influenced the learning environment, enhancing students’ self-directed learning attributes, as corroborated by in-depth interviews and survey responses. Impressively, at least 65% of students expressed a strong interest in adopting PLE&N for other subjects, suggesting a strong motivation towards life-long learning. These results underscore the potential of learner-driven personalized learning environments, such as PLE&N, to strengthen students' self-directed and life-long learning attributes. Insights from this research might encourage further innovative approaches in designing learner-driven personalized learning environments to strengthen students’ self-directed and life-long learning attributes. Keywords: PLE&N, RSS Feed, Constructive Learning, Connective Learning, Learner-centric Pedagogy. Higher Education.

Online News Monitoring and Sentiment Analysis using BERT Approach

Due to the advancement of Information Technology (IT), the medium for publishing news and events has gotten speedier. How people consume news has changed since the introduction of the Internet, online, and mobile technology. With the growth and evolution of digital media in today's society, Media Monitoring (MM) services have also become popular. While media monitoring interaction has obvious advantages, it also incurs considerable costs depending on the level of features it offers. Further, despite extensive research being done on sentiment analysis of social media and user input, there hasn't been much done so far to automatically predict the sentiment of narrative text. In this work, the proponent employed the pre-trained BERT model for the sentiment analysis feature and RSS feed to automate the collection and gathering of related online news in aid of the manual monitoring and analysis of online news stories and/or articles and avoid the costs associated with online media monitoring services. The developed system was able to produce appropriate features and a highly acceptable usability rating. The obtained results showed that the developed software will greatly improve and increase the end-user’s productivity by automating their existing manual system of monitoring and analysis of online news while reducing business costs by cutting the corresponding charges imposed by online media monitoring services.

Similarity Detection of Time-Sensitive Online News Articles Based on RSS Feeds and Contextual Data

This article tackles the problem of finding similarity between web time-sensitive news articles, which can be a challenge. This challenge was approached with a novel methodology that uses supervised learning algorithms with carefully selected features (Semantic, Lexical and Temporal features (content and contextual features)). The proposed approach considers not only the textual content, which is a well-studied approach that may yield misleading results, but also the context, community engagement, and community-deduced importance of that news article. This paper details the major procedures of title pair pre-processing, analysis of lexical units, feature engineering, and similarity measures. Thousands of web articles are being published every second, and therefore, it is essential to determine the similarity of these articles efficiently without wasting time on unnecessary text processing of the bodies. Hence, the proposed approach focuses on short contents (titles) and context. The conducted experiment showed high precision and accuracy on a Really Simple Syndication (RSS) dataset of 8000 Arabic news article pairs collected automatically from 10 different news sources. The proposed approach achieved an accuracy of 0.81. Contextual features increased the accuracy and the precision. The proposed algorithm achieved a 0.89 correlation with the evaluations of two human judges based on Pearson’s Correlation Coefficient. The results outperform the state-of-the-art systems on Arabic news articles.

Spotify effect in new podcast markets. Combined model proposal for analysis of increasing interest in podcasting: The case of Turkey

Podcasts have been offered as a new service by digital music providers for several years now. The shift from Really Simple Syndication (RSS) distribution to central distribution channels has increased the interest in podcasts in low-consumption markets. This study aimed to examine the reasons for the recent increased interest in podcasts in Turkey. To analyze the growth in the popularity of podcasts, a model based on the technology acceptance model and the uses and gratifications theory was used, and a questionnaire targeting the users who listened to podcasts through Spotify, the most popular music streaming service in Turkey, was administered. According to the data obtained, the majority of the participants had first heard about podcasts through Spotify once they announced that they were offering podcasts as part of their services. The perceived ease of use in listening to podcasts served as the major factor behind listening motivations, perceived usefulness of the services, and attitude toward use. Therefore, although the popularization of podcasts in new markets seems to be associated with their unique content, the decisive factor driving the popularization of podcasts is actually more related to the ability podcasts offer users, who are faced with so many stimuli, to access the preferred content anytime and anywhere in a clear and straightforward manner.

Smartphone RSS Traces For Forensic Analysis

This paper’s topic is on Smartphone RSS traces for Forensic analysis; RSS represents Really Simple Syndication whereas smartphone RSS traces refers to a small software program that collects and displays RSS feeds. It allows you to scan headlines from a number of news sources in a central location and has the ability to suggest information of interest to you based on the criteria of your search. RSS feed has been in existence for many years but has never been as widely used as it is today, the term syndication refers to publishing information on the Internet that can be used by other sites as well as by stand-alone reader applications. The introduction of blogs hyped content syndication before, the syndicated content, known as feeds, was typically found on news sites only. Once blogs began proliferating on the Internet, content started being shared left and right, and users began using readers and aggregators to track their favorite blogs. In addition, those who subscribe to podcasts are actually using technology built on RSS. Whether providing a feed for a blog, providing a feed of changes for some software you may be writing, or doing your own podcast, the applications for content syndication are almost endless, and its usage is growing at a phenomenal rate every day.” Robert Richards, January 2006- Article on “RSS feed and content Syndication”. Forensically, Smartphone RSS feed gives the forensic examiner a fair idea about the conception of the individual whose phone contains the analyzed feed. This is because the feed usually contains information of interest to the user which helps you think like the user in order to get the needed information you are looking for. This paper will also identify gaps with smartphone RSS feed users and suggest solutions/recommendations to mitigate them in order to be safe even after subscribing to certain RSS feeds. Keywords: RSS, Forensics, Syndication, Tracing, Cybersecurity, Feeds BOOK Chapter ǀ Research Nexus in IT, Law, Cyber Security & Forensics. Open Access. Distributed Free Citation: Roselyn Abena Terbie Hammond (2022): Smartphone RSS Traces For Forensic Analysis Book Chapter Series on Research Nexus in IT, Law, Cyber Security & Forensics. Pp 227-232 www.isteams.net/ITlawbookchapter2022. dx.doi.org/

Deployment of an Enhanced Web-based Really Simple Syndication (RSS) Aggregator (Ultrafeed)

Deployment of an Enhanced Web-based Really Simple Syndication (RSS) Aggregator (Ultrafeed)

Laser-based refractive surgery techniques to treat myopia in adults. An overview of systematic reviews and meta-analyses.

Systematic reviews (SRs) and meta-analyses (MAs) are of great importance for basing clinical decisions. However, misleading interpretations may result when informed decisions rest on biased review papers with methodological issues. To evaluate which treatment is optimal, an overview was made of SRs and MAs to establish the quality and certainty of meta-evidence published on the efficacy of laser-based refractive surgery techniques for treating myopia in adults. A search was made in five databases and was updated using Really Simple Syndication (RSS) feed appliances up to April 2021; SRs with or without MAs were included. Methodological quality was appraised using the AMSTAR-2 tool. The best available reviews were summarized using the GRADE approach. The corrected covered area (CCA) was used to determine the degree of over-representation of publications. The risk of bias of the primary studies was disclosed visually. Thirty-six studies published between 2003 and 2021 were included. Twenty SRs (56%) were conducted in China. The most studied comparisons were SMILE versus FS-LASIK (19%) and FS-LASIK versus MM-LASIK (11%). Of the 251 overlapping index publications, 165 were unique (CCA = 0.015%), representing a negligible risk of skewed reporting. The AMSTAR-2 tool showed most SRs to have critically low or low quality. Nine reviews presented moderate quality. The GRADE approach of the 41 a priori outcomes evidenced critically low and low certainty of evidence. Only the spherical equivalent refraction changes at 12 months between LASEK and PRK showed moderate certainty of evidence, favouring PRK (mean difference 0.06, 95%CI [-0.02 to 0.14], I2 = 0%; p ≥ 0.05). Index trials among less biased reviews are prone to selection, performance and reporting bias. The appraised techniques exhibit comparable results in terms of efficacy. There is moderate certainty of evidence in favour of the use of PRK over LASEK in terms of the spherical equivalent refraction error changes at 1 year of follow-up. Most appraised SRs presented methodological flaws in critical domains, resulting in a low to critically low certainty of evidence after GRADE appraisal. Therefore, investigators need to study and compare the different laser-based refractive techniques to provide better evidence-based medicine. Further well-designed, high-quality clinical trials and SRs are needed to reappraise the current findings.

The Use of Social Media in Learning English Writing of Indonesian English Department Students

<em>Social media is a product of information and communication technology that is used by many people around the world, ranging from children to adults. Although not created specifically for educational purposes, social media has drawn the attention of some educators, especially in the field of teaching and learning English. The objectives of this research were to find out the types of social media used by English department students in the fourth semester of UINSI Samarinda and the use of social media in learning English writing. This research was conducted by using a descriptive-qualitative design. The researcher used questionnaires, interviews, and documentation as instruments to collect the data. The primary data in this research was obtained from questionnaires and interviews with the students who were active in using social media in learning English writing. Then, the secondary data contained recordings and documentation obtained from the students as the subjects of this research. The data analysis techniques used were data condensation, data display, conclusion drawing, and verification. To test the validity of the data, the researcher used the credibility technique with the source triangulation method. The result of this research showed that there were seven types of social media used by the students in learning English writing, namely social networking sites (SNS), blogs, micro-blog, wiki, social bookmarking websites, media sharing sites, and RSS (Really Simple Syndication). The students mostly used social media in learning English writing by using some provided features, especially which allow them to interact with their peers, such as personal chat, group chat, comment section, caption, description, story, and bio. Additionally, they also used some of these social media as learning sources to help them in developing their English writing skill.</em>

A Scalable Aggregation System Designed to Process 50,000 RSS Feeds

The subject of the study is the architecture of the RSS feed aggregation system. The author considers in detail such aspects of the topic as choosing the right data aggregation strategy, an approach to scaling a distributed system, designing and implementing the main modules of the system, such as an aggregation strategy definition module, a content aggregation module, a data processing module, a search module. Particular attention in this study is given to a detailed description of the libraries and frameworks chosen for the implementation of the system under consideration, as well as databases. The main part of the system under consideration is implemented in the C# programming language (.Net Core) and is cross-platform. The study describes the interaction with the main data stores used in the development of the aggregation system, which are PostgreSQL and Elasticsearch. The main conclusion of the study is that before developing an aggregation system, it is necessary to analyze the publication activity of data sources, on the basis of which it is possible to form an acceptable strategy for updating the search index, saving a significant amount of resources. computing power. Content aggregation systems, such as the one considered in this study, should be distributed, built on the basis of event-driven and microservice architectures. This approach will make the system resistant to high loads and failures, as well as easily expandable. The author's special contribution to the study of the topic is a detailed description of the high-level architecture of the RSS aggregator, designed to process 50,000 channels.

14 Podcasting as an Extension Tool: Limitations and Opportunities

Abstract Current challenges for Extension include decreased travel budgets and prompts for increased consideration of the use of online delivery tools for educational content programming with the goal of expanding stakeholder development and engagement. Podcasts (PCs) are audio and/or video content that can be played on computers and handheld devices through the use of Really Simple Syndication (RSS) technology. PCs are communication modalities with perceived high potential for incorporation into the pedagogical toolbox for the creation of an online resource repository and strategic virtual public outreach programming. PCs are audience focused forms of content that provide information to stakeholders in a way that allows for them to listen to what they want, when they want, where they want, and how they want. The Ag Communication Research Group distributed Qualtrics surveys to Alabama Cooperative Extension System (ACES) personnel across the state. Data collected enabled the examination of ACES personnel perspectives towards PCs and the current status of PC use for their work. Survey results indicate diverse views, varied levels of PC understanding, plans for adoption, and perceived barriers for use of PCs in Extension. Of participants, 62.5% currently listen to podcasts themselves and only 13.6% have participated in the creation or production of a PC before. When asked if participants have considered creating a PC for ACES 60.2% responded no, 17% responded maybe, 29.1% said yes, and only 4.5% responded that they already have created a PC or are in the process of creating one. In addition, we also report on methods for developing an Extension-oriented PC series, identify salient points for educators interested in developing a PC series, and explore the potential value of PCs as a vibrant Extension education tool to communicate curated, trusted, and relevant information.

Building a People’s History of West Oakland

Building a People’s History of West Oakland

Yaratıcılık ve Yaratıcı Olma Kavramlarının Günlük Dilde Anlamları

Creative and creativity as abstract concepts are hard to define and they have different meanings in scientific studies and everyday language. This study investigated the meanings of the Turkish terms “yaratıcı” (creative) and “yaratıcılık” (creativity) in everyday language by using the data from social media. The study aims to reveal the meanings of the terms creative and creativity by using Big Data methods, corpus linguistic approaches, and prototype theories. The Turkish data were collected from Twitter between February 2018 and March 2019 using Rich Site Summary (RSS) and Application Programming Interface (API) without duplicates, retweets, or replies. In this way, 40,382 tweets containing yaratıcı and 13,007 tweets containing yaratıcılık were obtained. The yaratıcı data consisted of 124,028 types and 828,661 tokens whereas the yaratıcılık data consisted of 57,448 types and 268,886 tokens. With the help of Antconc and Lancbox software and statistical analyses such as frequency, log frequency, MI, DeltaP and G, the results showed that the meanings of yaratıcı and yaratıcılık in everday Turkish and in dictionaries and scientific texts did not overlap. For example, the words such as intelligence, thinking, thoughts, and imagination could all be seen in the dictionaries and significantly in the data. But the word “kreatif,” which is used in the dictionary entries for yaratıcı, was not significantly used in the data. Instead, #creativity was used significantly frequently for yaratıcılık in the data. Moreover, phrases such as using various solutions and divergent thinking could be both seen in the scientific definitions and significantly frequently in the data. But phrases such as solving problems and motivation, which are used in the scientific definitions, were used rarely in the data. Therefore, when updated, the dictionaries shoud benefit from the uses of these terms in everyday life, the scientific texts should underline to what extent the definitions differ from everyday language, and research should be conducted by taking into account these differences.

The Role of Digital Media in Prosthetic Dentistry in Egypt and EU Countries: A Comparative Analytical Study

After the dot-com bubble burst “Web 1.0” at the turn of the century, the World Wide Web underwent significant changes. These changes led to the adoption of and the referral to the new Web as “Web 2.0.” The Web 2.0 has led to dramatic changes primarily as a result of decentralization of communications and interactivity, with information provided by users as contributors of content such as user-generated ads content and so on. It has led to the development of many new media. For example, forums and chat rooms, social networking sites, blogs, virtual/augmented reality, Really Simple Syndication (RSS), QR codes, e-commerce, etc. That vast range of new media allowed the user interactivity and provided a room for user-generated content from all fields. It’s worth to mention that one of the advanced users of such new media are dentists. Dentistry has received an unexpected, however welcomed influx of digitization that allowed an easier utilization for such new media. For example, dentists can generate digital smile designs in addition to other digital equipment that overwhelmed the dental appliances; such as, 3D printers, Computerized-Aided Design/Computerized-Aided Manufacturing (CAD/CAM), and oral scanners. All of such digitized output is easily shared now by dentists to show their clinical cases and promote their profession through social media; This study aimed at exploring how digital media influenced the dental profession marketing in Egypt and EU. Within the framework of the Uses and Gratification Theory, the researchers conducted intensive interviews with Egyptian and European dentists to shed light on how such new media changed their approach towards their profession, and further inspect the differences between the Egyptian and European experiences. Results have shown well-defined differences between Egyptian and EU dentists in their use for digital media. Egyptian dentists tend to be more money-oriented than the EU dentists who behold more value for the educational aspects that each can get from the digital media; however, the ethical implications overwhelm the situation while dealing with digital media. Nevertheless, the study has further shown some drawbacks for the use of digital media in the educational field.

Journal of Pediatric Surgery: Effects of an automated social media strategy for knowledge dissemination

Background/PurposeWith increasing publications, it's hard to keep up with surgical literature. Social media is a valuable educational resource with global reach. We sought to analyze the impact of an automated social media strategy for the Journal of Pediatric Surgery (JPS). MethodsAnalytics for March–August 2019 were retrospectively reviewed for automated posts using a SocialPilot queue from the journal's RSS feed. Descriptive and inferential statistics were utilized to analyze performance, including journal article views. ResultsOne hundred sixty-five posts amassed 512,316 impressions and 9,795 article views. Facebook had greater overall impact (p < 0.01). Twitter was stronger when adjusted by number of followers (p < 0.01). Engagements and article views had strong correlation between platforms (p < 0.01). Day of the week had limited impact. Photographs were the preferred content format (p < 0.05). Topic had the highest effect on performance (p < 0.05) – with colorectal, EA/TEF, and general pediatric surgery leading to higher reach and engagement. ECMO/CDH was the least popular. Comments and shares were negligible. ConclusionsWe reached 3,105 users, with 59 article views per post. Topic had the strongest effect on performance. For comparison, custom infographics reached 7,368 users and averaged 101 article views. Alternative knowledge dissemination strategies are likely needed to foster online discussion and build more robust forums for collaboration. Type of StudyRetrospective, Non-clinical Study. Level of EvidenceLevel III.

News Classification for Identifying Traffic Incident Points in a Spanish-Speaking Country: A Real-World Case Study of Class Imbalance Learning

‘El Diario de Juárez’ is a local newspaper in a city of 1.5 million Spanish-speaking inhabitants that publishes texts of which citizens read them on both a website and an RSS (Really Simple Syndication) service. This research applies natural-language-processing and machine-learning algorithms to the news provided by the RSS service in order to classify them based on whether they are about a traffic incident or not, with the final intention of notifying citizens where such accidents occur. The classification process explores the bag-of-words technique with five learners (Classification and Regression Tree (CART), Naïve Bayes, kNN, Random Forest, and Support Vector Machine (SVM)) on a class-imbalanced benchmark; this challenging issue is dealt with via five sampling algorithms: synthetic minority oversampling technique (SMOTE), borderline SMOTE, adaptive synthetic sampling, random oversampling, and random undersampling. Consequently, our final classifier reaches a sensitivity of 0.86 and an area under the precision-recall curve of 0.86, which is an acceptable performance when considering the complexity of analyzing unstructured texts in Spanish.

Wake Forest School of Medicine.

Wake Forest School of Medicine.

Proposal for Named Entities Recognition and Classification (NERC) and the Automatic Generation of Rules on Mexican News

In this paper we introduce a proposal for extracting facts from news on Mexican online newspapers through their RSS (Really Simple Syndication). This problem will be addressed by using the task of automatic named entities recognition and classification (NERC), as well as the semantic relation extraction among entities, so that we can build a database of facts and rules from the obtained entities in an automatic manner. The final aim is to be able to infer new rules through the use of the knowledge databases constructed and an inference engine. In order to build the NER model, we performa manual annotation of corpora with different tags that include the baseline tags (person names, organizations, locations, dates and numeral). The idea proposed is presented in this paper with an example scenario together with the procedure employed for solving the problem of automatic inference of new rules.

PLeveraging Django and Redis using Web Scraping

Web scraping is also known as data scraping and it is used for extracting data from sites. The software used for this may directly access the World Wide Web by using the Hypertext Transfer Protocol or by using a web browser. Over the years, due to advancements in web development and its technology, various frameworks have come in use and almost all of websites are dynamic with their content being served from CMS. This makes it tough to extract data since there is no common template for extracting data. Hence, we use RSS. Rich Site Summary is a kind of timeline allowing users and also applications to gain access to the updates on websites in a standardized, computer-readable format. This project combines the use of RSS to extract data from websites and serve users in a robust and easy way. The differentiation is that this project uses server side caching to serve users almost instantaneously without the need to perform data extraction from the requested site all over again. This is done using Redis and Django.

A qualitative study on the effect of podcasting strategies (studycasts) to support 7th grade student motivation and learning outcomes

The purpose of this qualitative case study was to understand how a middle school teacher uses a studycast activity—podcasts designed to support test review—to stimulate student motivation and engagement with class content and to affect student academic performance. The teacher and two students participated in interviews with the researcher. Classroom observations were made of all students for each class period over the course of two weeks, 15.5 hours per week. The first week was scheduled at the start of a unit on Africa and allowed the researcher to observe students before they interacted with technology. The second week of observation occurred as students worked in teams to create their own studycasts. The teacher explained performance criteria and provided ongoing scaffolding throughout the study period. Three themes emerged from the data analysis. The first theme was practicality. The teacher perceived that his students were not spending enough time reviewing for tests largely because they could not, or would not, attend after school study sessions. The second theme, storytelling describes this teacher’s unique way of using studycasts in his classroom. Students created stories that incorporated class content, recording these as studycasts and making these available to their classmates and others via an RSS feed on a classroom website. The final theme, motivation, describes the teacher’s and students’ perceptions of the benefits of studycasts in classroom learning.

Status of Library 2.0 Model in Cape Town Public Libraries

The Library 2.0 model is one of many library service models. It has its origin in and has borrowed concepts from Web 2.0, which is associated with web applications that facilitate participatory information-sharing, interoperability, user-centred design and collaboration on the World Wide Web. The focus of Library 2.0 is on user-centred change and participation in the creation of content. The purpose of this study was to investigate the implementation of Library 2.0 in the libraries of the City of Cape Town Metropolitan Municipality (hereafter City of Cape Town) and the challenges they encountered in using Library 2.0 technologies to deliver services. The website of the City of Cape Town Library and Information Services Department was visited to explore the implementation and usage of Web 2.0 tools, including blogs, really simple syndication (RSS), wikis, social networking, and social bookmarking. In addition, data were obtained from an interview conducted with the manager at the said department in charge of technical services, which included the implementation of new technologies. It was found that City of Cape Town libraries were slow in adopting Library 2.0 technologies in their services—there was no evidence on the website of the use of popular Web 2.0 tools such as blogs, wikis, video- and photo-sharing/-streaming, RSS, social bookmarking, and mash-ups. The research shed some light on the Web 2.0 tools used by public libraries other than those in Cape Town and it also highlighted how they were used and what their benefits were. More importantly, the research demonstrated the need for public libraries to embed Web 2.0 tools in their services and to keep abreast with and embrace emerging technologies.