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Li, Xin Li. "Web Page Ranking Algorithm Based on the Meta-Information." Applied Mechanics and Materials 596 (July 2014): 292–96. http://dx.doi.org/10.4028/www.scientific.net/amm.596.292.
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PageRank algorithms only consider hyperlink information, without other page information such as page hits frequency, page update time and web page category. Therefore, the algorithms rank a lot of advertising pages and old pages pretty high and can’t meet the users' needs. This paper further studies the page meta-information such as category, page hits frequency and page update time. The Web page with high hits frequency and with smaller age should get a high rank, while the above two factors are more or less dependent on page category. Experimental results show that the algorithm has good results.
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Muneeb Ahmed Farooqi, Muhammad Arslan Ashraf, and Muhammad Umer Shaukat. "Google Page Rank Site Structure Strategies for Marketing Web Pages." Journal of Computing & Biomedical Informatics 2, no. 02 (September 15, 2021): 140–57. http://dx.doi.org/10.56979/202/2021/30.
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There are several Search Engines to categorize the web content and show us on base of our search query.These search engines are continuously visiting the pages/sites and gather the information using different techniques called crawling/spidering. On basis of daily content collection all search engines are managing their own indexes for searches.For every business there is a need to make its pages as most top rated/ranked pages by making structurally and content wise batter so that any crawler can easily crawl it and can rank it among the top 10 results.In this thesis only, structural behavior is being discussed in which internal graphical relationships between pages and the loading time of pages in terms of all supportive content .Structural overview includes the HTML tags structure which works as tree flow starting from tag and then moving towards child nodes.Page speed identifies the loading time of a page, it helps search engine to categories pages for mobile devices as well.Sometimes there is a thunder option on mobile search with rank it represents that this page is super-fast in loading. Page loading includes the loading of all content except Ajax base content.According to Google Page, rank is based on page content, page structure and page loading time.As discussion is only Page structure and page loading time so Google already gave some instructions related to Page structure and page loading speed but those instructions are not enough also it need to discover the new dimensions to make business pages among the top-rated results.
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Apandi, Siti Hawa, Jamaludin Sallim, Rozlina Mohamed, and Norkhairi Ahmad. "Automatic Topic-Based Web Page Classification Using Deep Learning." JOIV : International Journal on Informatics Visualization 7, no. 3-2 (November 30, 2023): 2108. http://dx.doi.org/10.30630/joiv.7.3-2.1616.
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The internet is frequently surfed by people by using smartphones, laptops, or computers in order to search information online in the web. The increase of information in the web has made the web pages grow day by day. The automatic topic-based web page classification is used to manage the excessive amount of web pages by classifying them to different categories based on the web page content. Different machine learning algorithms have been employed as web page classifiers to categorise the web pages. However, there is lack of study that review classification of web pages using deep learning. In this study, the automatic topic-based classification of web pages utilising deep learning that has been proposed by many key researchers are reviewed. The relevant research papers are selected from reputable research databases. The review process looked at the dataset, features, algorithm, pre-processing used in classification of web pages, document representation technique and performance of the web page classification model. The document representation technique used to represent the web page features is an important aspect in the classification of web pages as it affects the performance of the web page classification model. The integral web page feature is the textual content. Based on the review, it was found that the image based web page classification showed higher performance compared to the text based web page classification. Due to lack of matrix representation that can effectively handle long web page text content, a new document representation technique which is word cloud image can be used to visualize the words that have been extracted from the text content web page.
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Sylla, Cheickna, Colin G. Drury, and A. J. G. Babu. "A Human Factors Design Investigation of a Computerized Layout System of Text-Graphic Technical Materials." Human Factors: The Journal of the Human Factors and Ergonomics Society 30, no. 3 (June 1988): 347–58. http://dx.doi.org/10.1177/001872088803000308.
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In converting task listings into multiple pages of documentation for job aids or training, the two major problems are deciding how much material should go on each page and how text and graphics should be laid out on the page. A questionnaire study was used to collect input from 14 human factors personnel in order to design algorithms for page splitting and page layout. From the rules or heuristics used for page splitting, an algorithm was devised that closely matched human page-splitting results. Layout of individual pages was automated with an algorithm based on the (significant) consensus among the subjects on questions of graphics positioning and label ordering. The two algorithms have been combined in a computer-aided design procedure that automatically pages task lists and lays out individual pages.
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Abbas, Safana Hyder, Wedad Abdul Khuder Naser, and Lamyaa Mohammed Kadhim. "Study and Comparison of Replacement Algorithms." International Journal of Engineering Research and Advanced Technology 08, no. 08 (2022): 01–06. http://dx.doi.org/10.31695/ijerat.2022.8.8.1.
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When a page fault occurs, the operating system has to choose a page to remove from memory to make room for the page that has to be brought in. The page replacement is done by swapping the required pages from backup storage to main memory and vice-versa. When a new page needs memory for allocation, page replacement algorithms decide which pages to swap out of the memory. In this paper, a comparison and analysis of five replacement algorithms: First in First out (FIFO), Least Recently Used (LRU), Clock, Most Recently Used algorithm (MRU), and Optimal Page Replacement (OPT) are made.
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Lei, Shi. "Modeling an web community discovery method with web page attraction." Journal of Intelligent & Fuzzy Systems 40, no. 6 (June 21, 2021): 11159–69. http://dx.doi.org/10.3233/jifs-202366.
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An improved Web community discovery algorithm is proposed in this paper based on the attraction between Web pages to effectively reduce the complexity of Web community discovery. The proposed algorithm treats each Web page in the Web pages collection as an individual with attraction based on the theory of universal gravitation, elaborates the discovery and evolution process of Web community from a Web page in the Web pages collection, defines the priority rules of Web community size and Web page similarity, and gives the calculation formula of the change in Web page similarity. Finally, an experimental platform is built to analyze the specific discovery process of the Web community in detail, and the changes in cumulative distribution of Web page similarity are discussed. The results show that the change in the similarity of a new page satisfies the power-law distribution, and the similarity of a new page is proportional to the size of Web community that the new page chooses to join.
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OSKIN, MARK, DIANA KEEN, JUSTIN HENSLEY, LUCIAN-VLAD LITA, and FREDERIC T. CHONG. "OPERATING SYSTEMS TECHNIQUES FOR PARALLEL COMPUTATION IN INTELLIGENT MEMORY." Parallel Processing Letters 12, no. 03n04 (September 2002): 311–26. http://dx.doi.org/10.1142/s0129626402001014.
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Advances in DRAM density have led to several proposals to perform computation in memory [1] [2] [3]. Active Pages is a page-based model of intelligent memory that can exploit large amounts of parallel computation in data-intensive applications. With a simple VLIW processor embedded near each page on DRAM, Active Page memory systems achieve up to 1000X speedups over conventional memory systems [4]. Active Pages are specifically designed to support virtualized hardware resources. In this study, we examine operating system techniques that allow Active Page memories to share, or multiplex, embedded VLIW processors across multiple physical Active Pages. We explore the trade-off between individual page-processor performance and page-level multiplexing. We find that hardware costs of computational logic can be reduced from 31% of DRAM chip area to 12%, through multiplexing, without significant loss in performance. Furthermore, manufacturing defects that disable up to 50% of the page processors can be tolerated through efficient resource allocation and associative multiplexing.
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Apandi, Siti Hawa, Jamaludin Sallim, and Rozlina Mohamed. "A Convolutional Neural Network (CNN) Classification Model for Web Page: A Tool for Improving Web Page Category Detection Accuracy." JITSI : Jurnal Ilmiah Teknologi Sistem Informasi 4, no. 3 (September 7, 2023): 110–21. http://dx.doi.org/10.30630/jitsi.4.3.181.
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Game and Online Video Streaming are the most viewed web pages. Users who spend too much time on these types of web pages may suffer from internet addiction. Access to Game and Online Video Streaming web pages should be restricted to combat internet addiction. A tool is required to recognise the category of web pages based on the text content of the web pages. Due to the unavailability of a matrix representation that can handle long web page text content, this study employs a document representation known as word cloud image to visualise the words extracted from the text content web page after data pre-processing. The most popular words are shown in large size and appear in the centre of the word cloud image. The most common words are the words that appear frequently in the text content web page and are related to describing what the web page content is about. The Convolutional Neural Network (CNN) recognises the pattern of words presented in the core portions of the word cloud image to categorise the category to which the web page belongs. The proposed model for web page classification has been compared with the other web page classification models. It shows the good result that achieved an accuracy of 85.6%. It can be used as a tool that helps to make identifying the category of web pages more accurate
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Paing, May Phu, Aniwat Juhong, and Chuchart Pintavirooj. "Design and Development of an Assistive System Based on Eye Tracking." Electronics 11, no. 4 (February 10, 2022): 535. http://dx.doi.org/10.3390/electronics11040535.
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This research concerns the design and development of an assistive system based on eye tracking, which can be used to improve the quality of life of disabled patients. With the use of their eye movement, whose function is not affected by their illness, patients are capable of communicating with and sending notifications to caretakers, controlling various appliances, including wheelchairs. The designed system is divided into two subsystems: stationary and mobile assistive systems. Both systems provide a graphic user interface (GUI) that is used to link the eye tracker with the appliance control. There are six GUI pages for the stationary assistive system and seven for the mobile assistive system. GUI pages for the stationary assistive system include the home page, smart appliance page, eye-controlled television page, eye-controlled air conditional page, i-speak page and entertainment page. GUI pages for the mobile assistive system are similar to the GUI pages for the stationary assistive system, with the additional eye-controlled wheelchair page. To provide hand-free secure access, an authentication based on facial landmarks is developed. The operational test of the proposed assistive system provides successful and promising results.
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Lin, Shu-Kun. "Publisher's Note added on 29 June 2006." Molecules 11, no. 4 (June 29, 2006): 232–41. http://dx.doi.org/10.3390/11040232.
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There is a pagination error in this paper. The page number for the first page (Sergei V. Trepalin et al. Molecules 2006, 11, 219) is assigned correctly. However, the following pages were not correctly paginated and the final page number should be 231 instead of 241. The original file is still provided. Pages 232-241 are thus taken as blank pages. We apologize for this error and for any inconvenience
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Nandanwar, Amit Kumar, and Jaytrilok Choudhary. "Semantic Features with Contextual Knowledge-Based Web Page Categorization Using the GloVe Model and Stacked BiLSTM." Symmetry 13, no. 10 (September 23, 2021): 1772. http://dx.doi.org/10.3390/sym13101772.
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Internet technologies are emerging very fast nowadays, due to which web pages are generated exponentially. Web page categorization is required for searching and exploring relevant web pages based on users’ queries and is a tedious task. The majority of web page categorization techniques ignore semantic features and the contextual knowledge of the web page. This paper proposes a web page categorization method that categorizes web pages based on semantic features and contextual knowledge. Initially, the GloVe model is applied to capture the semantic features of the web pages. Thereafter, a Stacked Bidirectional long short-term memory (BiLSTM) with symmetric structure is applied to extract the contextual and latent symmetry information from the semantic features for web page categorization. The performance of the proposed model has been evaluated on the publicly available WebKB dataset. The proposed model shows superiority over the existing state-of-the-art machine learning and deep learning methods.
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Yamana, Kemal. "A Study on the Strategic Plans of the Metropolitan Municipalities: Case of Turkey**." Journal of Corporate Governance, Insurance, and Risk Management 3, no. 3 (December 30, 2016): 146–62. http://dx.doi.org/10.56578/jcgirm030310.
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In this research, strategic plans, which were prepared by 10 Metropolitan Municipalities in Turkey for the period of 2015-2019, were analysed and to what extent environment and city topics were given place in these plans was put forward comparatively. Content analysis technique was benefited from as the research method. While there are 30 Metropolitan Municipalities in Turkey as of March 2016; 10 of them with the highest populations were taken into the scope of the research. Cities among the researched Metropolis that have the most comprehensive plans have been İstanbul (288 pages), İzmir (227 pages) and Gaziantep (226 pages), respectively. Cities that have given the most place to the city concept have been Adana (3,58 word/page), İzmir (2,89 words/page) and Bursa (1,75 words/page); while cities that have included the concept of environment the most have been Konya (1,39 words/page), Adana (1,24 words/page) and Şanlıurfa (1,16 words/page).
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Prasad Arya, Govind, Devendra Prasad, and Sandeep Singh Rana. "An Improved Page Replacement Algorithm Using Block Retrieval of Pages." International Journal of Engineering & Technology 7, no. 4.5 (September 22, 2018): 32. http://dx.doi.org/10.14419/ijet.v7i4.5.20004.
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The computer programmer write programming codes of any length without keeping in mind the available primary memory. This is possible if we use the concept of virtual memory. As the name suggests, virtual memory is a concept of executing a programming code of any size even having a primary memory of smaller size than the size of program to be executed. The virtual memory can be implemented using the concept of paging. The operating system allocates a number of memory frames to each program while loading into the memory. The programming code is equally divided into pages of same size as frame size. The size of pages and memory frames are retained equal for the better utilization of the memory. During the execution of program, every process is allocated limited number of memory frames; hence there is a need of page replacements. To overcome this limitation, a number of page replacement techniques had suggested by the researchers. In this paper, we have proposed an modified page replacement technique, which is based on the concept of block reading of pages from the secondary storage. The disc access is very slow as compared to the access from primary memory. Whenever there is a page fault, the required page is retrived from the secondary storage. The numerous page faults increase the execution time of process. In the proposed methodology, a number of pages, which is equal to the allotted memory frames, are read every time when there is a page fault instead of reading a single page at a time. If a block of pages has fetched from secondary storage, it will definitely increases the possibilities of page hit and as a result, it will improve the hit ratio for the processes.
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Ruiz-Mafe, Carla, Jose Martí-Parreño, and Silvia Sanz-Blas. "Key drivers of consumer loyalty to Facebook fan pages." Online Information Review 38, no. 3 (April 29, 2014): 362–80. http://dx.doi.org/10.1108/oir-05-2013-0101.
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Purpose – With the rapid expansion of social networking sites, researchers and practitioners are challenged to understand drivers of customer loyalty in fan pages. The purpose of this paper is to identify the main drivers of Facebook fan page loyalty in order to promote the creation of affective links and long-term relationships with users. Design/methodology/approach – The impact of trust, fan page content dependency, attitude and consumer beliefs on loyalty to fan pages was tested through structural equation modelling techniques. The sample consisted of 691 Spanish Facebook users. Findings – Data analysis shows that attitude appears as a key variable in increasing loyalty to fan pages. The empirical study also found a significant positive influence of perceived usefulness, attitude, trust and dependency on loyalty in fan pages, and an indirect influence of perceived ease of use mediated by perceived usefulness and attitude. Practical implications – This research enables managers to know what aspects to highlight in their communication strategies to increase fan page use and positive word-of-mouth. Research findings show managers that Facebook fan page content should provide valuable information, be fun and foster user interactions in order to improve user attitude and loyalty. Practical recommendations to reinforce consumer trust on Facebook fan pages are also provided. Originality/value – There are still too few studies that analyse the effects of trust and fan page dependency on fan page users’ loyalty. This work aims to combine the influence of dependency on fan pages, trust, attitude and Technology Acceptance Model beliefs in order to construct an improved model for fan page loyalty formation.
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Iqbal Khan, Shahid, Ahmad Raza Bilal, and Bilal Ahmad. "Who will land and stay? Page-specific antecedents of news engagement on social media." Online Information Review 44, no. 5 (June 12, 2020): 1013–25. http://dx.doi.org/10.1108/oir-12-2019-0375.
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PurposeThe purpose of this study is to investigate the impact of page-specific factors such as page language, posting frequency and community size on online engagement in the context of social media pages of news channels in Pakistan.Design/methodology/approachFor this research, official Facebook pages of news channels in Pakistan were defined as the target population. Secondary data were obtained from the Facebook pages of 28 news channels in Pakistan. For the selected period between August and September 2019, a total of 420 cases were obtained and manually entered in SPSS 21 for analysis. Tweedie estimation was run to check the proposed hypotheses.FindingsResults show that English pages are more engaging than Urdu. Additionally, posting frequency and community size have a negative relationship with online engagement.Practical implicationsThe findings of the study suggest that administrators of social media pages of news channels should target English news readers more than Urdu news readers. Additionally, they should manage a low posting frequency so that readers may not get irritated. Administrators should not sponsor their pages to expand community size on a single page. Instead, they may opt to build a separate page for each news category with smaller community size.Originality/valueWhile previous studies have discussed the post-specific factors of engagement, this study has checked the impact of page-specific factors such as page language, posting frequency and community size on online engagement.
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Obradović, Teodora, Biljana Radišić, Anita Agić, Davor Korčok, Duško Mirković, Vesna Spasojević-Kalimanovska, and Jelena Kotur-Stevuljević. "Corrigendum: Comparison of the antioxidative action of the two N-acetylcystein containing products: Propomucil® and Fluimucil® in a group of smokers who have seasonal coughing problems (2018, vol. 59, no. 1, pp. 33-41)." Hrana i ishrana 62, no. 2 (2021): 33. http://dx.doi.org/10.5937/hraishra2102033o.
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At every place in the article word Fluimucil is replaced by NAC (N-acetil-cysteine) as follows: 1. Article titles (English and Serbian version) from the Content, general article title (page 33) and article headers at the pages 33-41. 2. INTRODUCTION - Last sentence in the Introduction section (page 34). 3. MATERIAL AND METHOD - Second sentence in the first paragraph (page 34); Second column, third paragraph (page 34). 4. RESULTS - First column, second paragraph at the page 36; Figure 2 title (page 37); first column, first paragraph (page 37); subtitle (page 37); text second column, second paragraph (page 37); Table 3 header (page 38); first column first paragraph text below the table 3 (page 38); text below the subtitle: second column, second paragraph (page 38); text below Figure 3 (legend, page 38); Table 4 header (page 39). 5. CONCLUSION - page 40. The authors would like to apologise for any inconvenience caused.
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Satish Babu, J., T. Ravi Kumar, and Dr Shahana Bano. "Optimizing webpage relevancy using page ranking and content based ranking." International Journal of Engineering & Technology 7, no. 2.7 (March 18, 2018): 1025. http://dx.doi.org/10.14419/ijet.v7i2.7.12220.
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Systems for web information mining can be isolated into a few classifications as indicated by a sort of mined data and objectives that specif-ic classifications set: Web structure mining, Web utilization mining, and Web Content Mining. This paper proposes another Web Content Mining system for page significance positioning taking into account the page content investigation. The strategy, we call it Page Content Rank (PCR) in the paper, consolidates various heuristics that appear to be critical for breaking down the substance of Web pages. The page significance is resolved on the base of the significance of terms which the page contains. The significance of a term is determined concern-ing a given inquiry q and it depends on its measurable and linguistic elements. As a source set of pages for mining we utilize an arrangement of pages reacted by a web search tool to the question q. PCR utilizes a neural system as its inward order structure. We depict a usage of the proposed strategy and an examination of its outcomes with the other existing characterization framework –page rank algorithm.
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Fargen, Kyle M., Timothy O'Connor, Steven Raymond, Justin M. Sporrer, and William A. Friedman. "An Observational Study of Hospital Paging Practices and Workflow Interruption Among On-Call Junior Neurological Surgery Residents." Journal of Graduate Medical Education 4, no. 4 (December 1, 2012): 467–71. http://dx.doi.org/10.4300/jgme-d-11-00306.1.
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Abstract Background Previous studies suggest that nonurgent pages comprise a substantial portion of the pages received by residents while on duty. We evaluated the number, type, and urgency of pages received and the task being performed at the time of paging by on-call junior neurosurgery residents at a large teaching hospital, with the aim of providing insight into mechanisms that can be developed to improve paging patterns and ultimately reduce physician distractions due to nonurgent communications. Methods For eight 12-hour call sessions, a medical student shadowed the on-call junior neurosurgery resident and recorded all pages received and the time, paging number and location, priority of the page (nonurgent, urgent, or emergency), and the activity the resident performed when the page was received. During one 5-hour session, a recorder measured the amount of time spent returning pages. Results During the study period, 439 communications were recorded (mean of 54.9 per 12-hour session; range, 33–75). Communications occurred at a rate of every 13 minutes and ranged from every 34 minutes to every 8.7 minutes. Paging remained frequent even during the hours when on-call residents are most likely to sleep (2–5 am), with an average of 4 communications per hour. The time to return pages ranged from 15 to 174 seconds (mean, 79.7 seconds). Most pages were nonurgent (68.3%) and occurred during patient care activities (65%). Conclusions Paging communications were frequent. Most pages were nonurgent and were received during important patient care activities. This suggests that a viable solution must address the work context of the individual being paged and the individual initiating the page to ensure that urgent communications are properly prioritized and attended to.
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Papacharissi, Zizi. "The Presentation of Self in Virtual Life: Characteristics of Personal Home Pages." Journalism & Mass Communication Quarterly 79, no. 3 (September 2002): 643–60. http://dx.doi.org/10.1177/107769900207900307.
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This study focused on how individuals used personal home pages to present themselves online. Content analysis was used to examine, record, and analyze the characteristics of personal home pages. Data interpretation revealed popular tools for self-presentation, a desire for virtual homesteaders to affiliate with online homestead communities, and significant relationships among home page characteristics. Web page design was influenced, to a certain extent, by the tools Web page space providers supplied. Further studies should consider personality characteristics, design templates, and Web author input to determine factors that influence self-presentation through personal home pages.
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Chen, Yuanchao, Yuliang Lu, Zulie Pan, Juxing Chen, Fan Shi, Yang Li, and Yonghui Jiang. "APIMiner: Identifying Web Application APIs Based on Web Page States Similarity Analysis." Electronics 13, no. 6 (March 18, 2024): 1112. http://dx.doi.org/10.3390/electronics13061112.
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Modern web applications offer various APIs for data interaction. However, as the number of these APIs increases, so does the potential for security threats. Essentially, more APIs in an application can lead to more detectable vulnerabilities. Thus, it is crucial to identify APIs as comprehensively as possible in web applications. However, this task faces challenges due to the increasing complexity of web development techniques and the abundance of similar web pages. In this paper, we propose APIMiner, a framework for identifying APIs in web applications by dynamically traversing web pages based on web page state similarity analysis. APIMiner first builds a web page model based on the HTML elements of the current web page. APIMiner then uses this model to represent the state of the page. Then, APIMiner evaluates each element’s similarity in the page model and determines the page state similarity based on these similarity values. From the different states of the page, APIMiner extracts the data interaction APIs on the page. We conduct extensive experiments to evaluate APIMiner’s effectiveness. In the similarity analysis, our method surpasses state-of-the-art methods like NDD and mNDD in accurately distinguishing similar pages. We compare APIMiner with state-of-the-art tools (e.g., Enemy of the State, Crawlergo, and Wapiti3) for API identification. APIMiner excels in the number of identified APIs (average 1136) and code coverage (average 28,470). Relative to these tools, on average, APIMiner identifies 7.96 times more APIs and increases code coverage by 142.72%.
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Li, Xingchen, Weizhe Zhang, Desheng Wang, Bin Zhang, and Hui He. "Algorithm of web page similarity comparison based on visual block." Computer Science and Information Systems 16, no. 3 (2019): 815–30. http://dx.doi.org/10.2298/csis180915028l.
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Phishing often deceives users due to the relative similarity to the true pages on a layout and leads to considerable losses for the society. Consequently, detecting phishing sites has been an urgent activity. By researching phishing web pages using web page screenshots, we discover that this kind of web pages use numerous web page screenshots to achieve the close similarity to the true page and avoid the text and structure similarity detection. This study introduces a new similarity matching algorithm based on visual blocks. First, the RenderLayer tree of the web page is obtained to extract the visual block. Second, an algorithm that will settle the jumbled visual blocks, including the deletion of the small visual blocks and the emergence of the overlapping visual blocks, is designed. Finally, the similarity between the two web pages is assessed. The proposed algorithm sets different thresholds to achieve the optimal missing and false alarm rates.
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Lei, Xiang Xin, Shun Liang Cao, Shao Yin Huang, and Jian Guo Yang. "PTList: Mining XML Data Stream Using Paging Schema." Advanced Materials Research 403-408 (November 2011): 1888–91. http://dx.doi.org/10.4028/www.scientific.net/amr.403-408.1888.
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Aiming at unlimited growing XML data stream and large XML document, we present PTList, mining frequent subtrees in XML using paging schema. PTList pages XML data stream, manages cross-page nodes and frequent candidate subtrees growing across page, mines frequent subtrees page-by-page, selects frequent subtree according to the page minimum support, and prunes branches based on the decaying factor. PTList mines XML data stream in the limit of the error of support, improves the memory utilization, and speeds up the mining process.
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Banukumar, Mahavir. "Embedding Sun Graphs in a Single Page." Bulletin of Society for Mathematical Services and Standards 5 (March 2013): 31–36. http://dx.doi.org/10.18052/www.scipress.com/bsmass.5.31.
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A book consists of a line in the 3-dimensional space, called the spine, and a number of pages, each a half-plane with the spine as boundary. A book embedding (p, r) of a graph consists of a linear ordering of p, of vertices, called the spine ordering, along the spine of a book and an assignment r, of edges to pages so that edges assigned to the same page can be drawn on that page without crossing. That is, we cannot find vertices u, v, x, y with p(u) < p(x) < p(v) < p(y), yet the edges uv and xy are assigned to the same page, that is r(uv) = r(xy). The book thickness or page number of a graph G is the minimum number of pages in required to embed G in a book. In this paper we consider the Sun Graph or the Trampoline graph and obtain the printing cycle for embedding the Sun Graph in a single page. We also give a linear time algorithm for such an embedding.
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Banukumar, Mahavir. "An Embedding Algorithm for a Specialcase of Extended Grids." Bulletin of Society for Mathematical Services and Standards 5 (March 2013): 40–45. http://dx.doi.org/10.18052/www.scipress.com/bsmass.5.40.
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A book consists of a line in the 3-dimensional space, called the spine, and a number of pages, each a half-plane with the spine as boundary. A book embedding (π,ρ) of a graph consists of a linear ordering of π, of vertices, called the spine ordering, along the spine of a book and an assignment ρ, of edges to pages so that edges assigned to the same page can be drawn on that page without crossing. That is, we cannot find vertices u, v, x, y with π(u) < π(x) < π(v) < π(y), yet the edges uv and xy are assigned to the same page, that is ρ(uv) = ρ(xy). The book thickness or page number of a graph G is the minimum number of pages in required to embed G in a book. In this paper we consider the extended grid and prove that the 1xn extended grid can be embedded in two pages. We also give a linear time algorithm to embed the 1xn extended grid in two pages.
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Subiyantoro, Edi, Ahmad Rofiqul Muslikh, Fandi Yulian Pamuji, and Maria Elfrida Wunu. "Pengembangan Aplikasi Penentuan Media Promosi Pelaku UMKM Berbasis Website." Jurnal Teknologi dan Manajemen Informatika 9, no. 1 (June 27, 2023): 1–11. http://dx.doi.org/10.26905/jtmi.v9i1.8502.
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Today, with the presence of digital technology, UMKM actors in Indonesia have numerous opportunities to create job opportunities and expand their businesses to the global market. However, not all UMKM actors in Indonesia have sufficient understanding and knowledge of the current digital technology being used. This research aims to design a system that can assist UMKM actors to increasing their product sales volume by developing an effective and efficient web-based application for selecting promotional media for UMKM. The testing of the UMKM AHP Application system, based on a black box method, is conducted to identify any potential issues in the application and ensure its readiness for publication. This testing covers various pages such as Criteria page, Alternative page, AHP Preference Value page, Criteria Analysis page, Alternative Analysis page, Ranking Report page, Report page, Profile page, and Logout page.
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GAO, XIAOYING, MENGJIE ZHANG, and PETER ANDREAE. "AUTOMATIC PATTERN CONSTRUCTION FOR WEB INFORMATION EXTRACTION." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 12, no. 04 (August 2004): 447–70. http://dx.doi.org/10.1142/s0218488504002928.
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This paper describes a domain independent approach for automatically constructing information extraction patterns for semi-structured web pages. Given a randomly chosen page from a web site of similarly structured pages, the system identifies a region of the page that has a regular "tabular" structure, and then infers an extraction pattern that will match the "rows" of the region and identify the data elements. The approach was tested on three corpora containing a series of tabular web sites from different domains and achieved a success rate of at least 80%. A significant strength of the system is that it can infer extraction patterns from a single training page and does not require any manual labeling of the training page.
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O.Pandithurai, Et al. "Technique for Cache Management in Solid." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 3 (March 31, 2023): 346–49. http://dx.doi.org/10.17762/ijritcc.v11i3.9866.
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This research presents a novel cache management method for solid-state discs (SSDs) that aims to efficiently utilize the limited cache space and improve the cache hit rate. The method involves the establishment of various data structures, including a page cache, a replace block module, a new page linked list, a physical block chain list, and a physical page state list. When an input/output (IO) request from a host is received, it is processed through the page cache. In cases where a writing request is executed and the page cache is full, a block replace process is triggered within the SSD to free up space. To minimize erasure and page copy operations, the method selects a candidate replace block with the highest failure ratio from the rear half of the physical block chain list as a replacement. This ensures that a block written in the flash medium contains a maximum number of dirty data pages and a minimum number of effective data pages. The proposed cache management method is designed to enhance the overall performance of SSDs by reducing sequential rubbish recovery caused by the presence of dirty data pages, and it is also user-friendly and easy to operate.
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Om Prakash, P. G., K. Suresh Kumar, Balajee Maram, and C. Priya. "Deep Fuzzy Clustering and Deep Residual Network for Prediction of Web Pages from Weblog Data with Fractional Order Based Ranking." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 31, no. 03 (June 2023): 413–36. http://dx.doi.org/10.1142/s0218488523500216.
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Web page recommendation system has attracted more attention in recent decades. The web page recommendation has various characteristics than the classical recommenders. It is the process of predicting the request of the next web page that users are significantly interested while searching the web. It helps the users to find relevant pages in the field of web mining. In particular, web user may spend more time to identify expected information. To understand behavior of users and to visit the page based on their interest at a specific time, an effective web page recommendation method is developed by developed Multi-Verse Sailfish Optimization (MVSFO)-based Deep Residual network. Accordingly, proposed MVSFO is derived by the integration of Multi-Verse Optimizer (MVO) and Sailfish Optimizer (SFO), respectively. Here, the process of recommendation is carried out using weblog data and the web page image. The sequential patterns are acquired from weblog data, and the patterns are grouped with Deep fuzzy clustering based on cosine similarity. The matching process among test pattern and sequential patterns are made using Canberra distance. Here, the recommended web pages obtained from the weblog data and pages obtained from web pages image using the Deep Residual network are enable to generate the output using fractional order-based ranking. The developed scheme attained more effectiveness by the measures, such as F-measure, precision, and recall as 85.30%, 86.59%, and 86.04%, respectively for MSNBC dataset.
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Y., Klushyn, and Zakharchin Y. "INCREASE THE SPEED OF WEB APPLICATIONS." Computer systems and network 2, no. 1 (March 23, 2017): 33–43. http://dx.doi.org/10.23939/csn2020.01.033.
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The article presents a method of creating a web application based on SPA technology (one-page web application), as a method of increasing the speed of web applications based on the use of modern frameworks, tools and tools for developing client and server part of a one-page web application. One-page web applications are web application technologies that consist of a single web page that interacts with the user, dynamically generating the current page rather than downloading entire new pages from the server. Based on this technique, we developed our own web application and based on it we determined the response rate, which is less than the optimal response rate for single-page web applications. An explanation is given as to which solutions increase response speed and performance in a one-page web application, and why creating a multi-page site is not the best idea. Keywords: single-page web application, database, multi-page web application, non-relational database, relational database, Backend technologies, server, JavaScript
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Song, Jahyun, Hyoungeun Moon, and Miyoung Kim. "When do customers engage in brand pages? Effects of social presence." International Journal of Contemporary Hospitality Management 31, no. 9 (September 9, 2019): 3627–45. http://dx.doi.org/10.1108/ijchm-10-2018-0816.
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Purpose Drawing upon the social presence theory, this paper aims to propose three social presence variables in the brand page context (the brand page as a medium, the presence of other customers and interaction with the brand page manager) and to test their effects on customer engagement behavior (CEB) and customer-brand identification (CBI). Design/methodology/approach A total of 340 responses were collected via an online research platform and analyzed using structural equation modeling analysis. Findings The results revealed that both the social presence of the brand page and the interaction with the brand page manager are positively associated with CEB, whereas that of other customers negatively influences CEB, which in turn, positively affects CBI. Research limitations/implications This paper presents the underlying process of driving customers’ engagement activities and building psychological closeness between customers and brands by applying social presence theory and social identity theory to Facebook brand pages. Practical implications To enhance customers’ experiences on Facebook brand pages, practitioners should visualize brand page managers through diverse types of postings. Brand page managers need to balance the presence of others, as well as bring a sense of human-likeness on the pages using storytelling strategies. Originality/value This research sheds light on the human side of a non-human world. The results suggest that the sense of a human presence in virtual brand communities is essential to engage customers with online activities toward brands while also building a closer customer–brand relationship.
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Haviana, Asani Gian, and Yudi Sukmayadi. "The Design Of Mutranesia Application As A Support For Cultural Arts Learning In Indonesian Traditional Music Materials." Jurnal Seni Musik 10, no. 2 (December 31, 2021): 203–8. http://dx.doi.org/10.15294/jsm.v10i2.47533.
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The development of science and technology is currently marked by the increasingly advanced field of Technology and Communication (ICT) in various sectors of life, including education. The use of application-based media is widely used during a pandemic. The world of education does not escape the role of digital-based media, such as learning in schools. There are times when students feel bored. Seeing the boredom of students when studying, it is necessary to make an innovation to motivate students to increase their enthusiasm. The author has an idea to create a music application. The purpose of this research is to make it easy for users or teachers and students to understand the material, especially Indonesian traditional music. The method used is Research and Development method and use the waterfall model, which is a systematic and sequential information system development model. Waterfall has the following stages: a. Requirements analysis and definition, b. System and software design, c. Implementation and unit testing, d. Integration and system testing, e. Operations and maintenance. The Mutranesia application is designed to support cultural arts learning in Indonesian traditional music materials. This app has six page views. First, the splash screen display. Second, display the Welcome page. Third, display the about page. Fourth, display the credits page. Fifth, map pages, and sixth, content display. The Mutranesia application is an android-based music application which has the concept of maps. The Mutranesia application is designed to support cultural arts learning in Indonesian traditional music materials. This app has six page views. First, the splash screen display. Second, display the Welcome page. Third, display the about page. Fourth, display the credits page. Fifth, map pages, and sixth, content display. The Mutranesia application is an android-based music application which has the concept of maps. The Mutranesia application is designed to support cultural arts learning in Indonesian traditional music materials. This app has six page views. First, the splash screen display. Second, display the Welcome page. Third, display the about page. Fourth, display the credits page. Fifth, map pages, and sixth, content display. The Mutranesia application is an android-based music application which has the concept of maps.
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Transportation Engineering, Periodica Polytechnica. "Corrigendum." Periodica Polytechnica Transportation Engineering 49, no. 3 (September 1, 2021): 308. http://dx.doi.org/10.3311/pptr.19186.
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László Lindenmaier, István Ferenc Lövétei, Gábor Lukács, Szilárd Aradi "Infrastructure Modeling and Optimization to Solve Real-time Railway Traffic Management Problems", 49(3), pp. 270–282, 2021. (in this issue)https://doi.org/10.3311/PPtr.18582When the above article was first published online some symbols in the text on pages 274–276, Table 7 on page 277, furthermore the subscript of the symbol bs in Eqs. (10), (11) and in the text on page 277 were incorrect. This has now been corrected in the online version. The correct version of some symbols in the text on pages 274–276, Table 7 on page 277, furthermore the subscript of the symbol bs in Eqs. (10), (11) and in the text on page 277 were published in this paper.
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Boyd, Robert N. "Our universe is but one page in a large book, each with different sets of physical laws and types of Consciousness." Journal of Cosmology, Filaments and Astrobiology 1, no. 2 (2022): 19–22. http://dx.doi.org/10.54216/jcfa.010204.
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Our universe is but one page in a large book. For example, things and Beings can travel between Universes, intentionally or unintentionally. The pages of the book of Universe are connected at a common point and move outwards in a rotation, overlaid in a spiral manner, related to the phi ratio. Each page which is touching the next page and the previous page, has physical laws and forms of Consciousness that are only slightly different from one another.
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Jaganathan, B., and Kalyani Desikan. "Enhanced Web Page Ranking Method Using Laplacian Centrality." International Journal of Engineering & Technology 7, no. 4.10 (October 2, 2018): 566. http://dx.doi.org/10.14419/ijet.v7i4.10.21282.
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In today's era of computer technology where users want not only the most relevant data but they also want the data as quickly as possible. Hence, ranking web pages becomes a crucial task. The purpose of this research is to find a centrality measure that can be used in place of original page rank. In this article concept of Laplacian centrality measure for directed web graph has been introduced to identify the web page ranks. Comparison between the original page rank and Laplacian centrality based Page rank has been made. Kendall's correlation co-efficient has been used as a measure to find the correlation between the original page rank and Laplacian centrality measure based page rank.
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deHaan, Jonathan. "Teaching language and literacy (or anything) with games (or anything): A good way (The pedagogy of multiliteracies) simplified here for teachers and students." Ludic Language Pedagogy 4 (May 11, 2022): 14–30. http://dx.doi.org/10.55853/llp_v4pg2.
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What is this? Definitely read this roadmap: Page 16: A super simple one page overview of PedML Page 18: Top 10 Reasons why PedML is a good method Page 21-22: Two examples of PedML in action (simple→complex) Page 23: a Simple worksheet to help your students do PedML Pages 24-30: More teaching stuff, if you’re interested. If you are not interested right now, that’s cool. You’ll be back. ;) Why did you make it? To make PedML easy to understand + implement. Who is it for? For as many people as possible to try PedML
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Kim, Whan, and Ronald Vender. "Use of Facebook as a Tool for Knowledge Dissemination in Dermatology." Journal of Cutaneous Medicine and Surgery 18, no. 5 (September 2014): 341–44. http://dx.doi.org/10.2310/7750.2014.14022.
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Background: The presence of dermatology-related platforms in social media has been acknowledged; however, the level of engagement of the public with these platforms has not been evaluated. Objective: To use the Engagement Rate to assess the level of engagement of the public with Facebook pages devoted to dermatology. Methods: A search on Facebook identified Facebook pages for dermatology academic journals, professional societies, and patient-centered groups with the highest number of Facebook likes. Then the Yearly Page Engagement Rate was calculated for each Facebook page. Results: The robust average of the Yearly Page Engagement Rate was 0.673 for academic journals, 0.313 for professional societies, and 1.563 for patient-centered groups. Conclusion: Patient-centered groups engaged with their fans most effectively. Engagement is a key determinant of a fan's exposure to the contents of the page and hence a gauge of whether the fans who “liked” the page continue to remain engaged or not.
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Kohei Sakamoto1, Chieko Kato. "Effects on Memorized Information Quantity in Web Pages Using Bicolor Design-from the Perspective of Color Blind People and Non-Color Blind People." Indian Journal of Public Health Research & Development 11, no. 1 (January 31, 2020): 1839–43. http://dx.doi.org/10.37506/ijphrd.v11i1.1389.
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In Japan according to the Japanese Ophthamlogical Society, people with color blindness make up about 5% of men and about 0.2% of women. Colorblind people often experience inconvenient situations in their lives because they cannot distinguish colors. Web pages are no exception. Companies and governments use web pages to transmit information to people. In this study, we created a web page with a color scheme obtained from previous research. This study confirmed that colorblind people, after viewing such a web page, remembered its contents better. From these results, this study analyzed the role of information transmission on the web page. As a result, the viewers color vision and hue of colors on the web page had no effects on their memory. The result also showed that the color of high chroma on the web page had no effects on their memory. The result also showed that the color of high chroma had bad effects on their memory.
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Khobzi, Hamid, and Babak Teimourpour. "How significant are users’ opinions in social media?" International Journal of Accounting & Information Management 22, no. 4 (September 30, 2014): 254–72. http://dx.doi.org/10.1108/ijaim-02-2014-0010.
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Purpose – The purpose of this study is to assign polarity score to each post from Facebook fan pages, and then examine whether the Comments submitted by users on a post from fan page have a significant relationship with the popularity of that post. Being aware of how to enhance the popularity of posts will help companies in terms of administrating their fan pages. Design/methodology/approach – In the context of fan page and post popularity, the authors test significance of the relationship between Comments’ polarity and number of Likes and Comments of a post in different Facebook pages by regression method. The data are collected from different fan page posts in Facebook, and a sentiment analysis approach is proposed to accomplish this research. Findings – Results show that the relation between users’ Comments and popularity of fan page posts is strongly significant. Outcomes of this research are useful for every company in terms of monitoring and managing their brand fan pages on social networking sites such as Facebook. Originality/value – Investigation of factors influencing popularity of fan page posts in social media is almost a new area of study that dates back to recent years. The authors use a sentiment analysis approach to evaluate a new concept describing the relationship between users’ Comments and popularity of posts from Facebook fan pages. Moreover, a part of dataset is extracted from Facebook by a crawler which is an advantage to prior studies.
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Gaikwad, Gajanan Digambar. "Refresh Rate Identification Strategy for Optimal Page Replacement Algorithms for Virtual Memory Management." International Journal for Research in Applied Science and Engineering Technology 9, no. 11 (November 30, 2021): 166–69. http://dx.doi.org/10.22214/ijraset.2021.38770.
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Abstract: Operating system offers a service known as memory management which manages and guides primary memory. It moves processes between disk and main memory during the execution back and forth. The process in which we provisionally moves process from primary memory to the hard disk so the memory is available for other processes. This process is known as swapping. Page replacement techniques are the methods by which the operating system concludes which memory pages to be swapped out and write to disk, whenever a page of main memory is required to be allocated. There are different policies regarding how to select a page to be swapped out when a page fault occurs to create space for new page. These Policies are called page replacement algorithms. In this paper the strategy for identifying the refresh rate for ‘Aging’ page replacement algorithm is presented and evaluated. Keywords: Aging algorithm, page replacement algorithm, refresh rate, virtual memory management.
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Kapusta, Jozef, Michal Munk, and Martin Drlik. "Website Structure Improvement Based on the Combination of Selected Web Structure and Web Usage Mining Methods." International Journal of Information Technology & Decision Making 17, no. 06 (November 2018): 1743–76. http://dx.doi.org/10.1142/s0219622018500402.
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The different web mining methods and techniques can help to solve some typical issues of the contemporary websites, contribute to more effective personalization, improve a website structure and reorganize its web pages. However, only several papers tried to combine web structure and web usage mining (WUM) methods with this aim. The paper researches if and how the combination of selected web structure and WUM methods can identify misplaced web pages and how they can contribute to improving the website structure. The paper analyzes the relationship between the estimated importance of the web page from the web page creator’s point of view using the web structure mining method based on PageRank and visitors’ real perception of the importance of that individual web page using the WUM method based on sequence patterns analysis, which eliminates the problem with repeated visits of the same web page during one session. The results prove that the expected probability of accesses to the individual web page correlates with the observed visit rate obtained from the log files using the WUM method. Furthermore, the website can be improved based on the consequent application of the residual analysis on the obtained results. The applicability of the proposed combination of the web structure and WUM methods is presented on two case studies from different application domains of the contemporary web. As a result, the web pages, which are underestimated or overestimated by the web page creators, are successfully identified in both cases.
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Kahn, Andrew M., and Edward J. Weinman. "Urate transport in the proximal tubule: in vivo and vesicle studies." American Journal of Physiology-Renal Physiology 250, no. 6 (June 1, 1986): F1130. http://dx.doi.org/10.1152/ajprenal.1986.250.6.f1130-r.
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Pages F789–F798: Andrew M. Kahn and Edward J. Weinman. “Urate transport in the proximal tubule: in vivo and vesicle studies.” Page F793 (right column, bottom of page): “Fig. 3” and “Fig. 4” are reversed.
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Li, Ai Wu. "Research on Space Usage Tracking Principles of Data Pages in SQL Server." Applied Mechanics and Materials 556-562 (May 2014): 5231–34. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.5231.
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As an enterprise database product, SQL Server must track space usage status of all data pages in data files. SQL Server uses PFS page to track information of space usage in data pages. This paper discusses the principles of data page space tracking. Performed add, delete, modify, etc. series of experiments, results shown that the PFS data changes corresponding to different data operations.
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King, David L. "Library Home Page Design: A Comparison of Page Layout for Front Ends to ARL Library Web Sites." College & Research Libraries 59, no. 5 (September 1, 1998): 457–64. http://dx.doi.org/10.5860/crl.59.5.457.
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The author examined the home pages of all 120 libraries in the Association of Research Libraries (ARL) in order to compare design similarities and differences. This was accomplished by first filling out a questionnaire on each home page and then tabulating the findings using simple averages and medians. Areas examined were: backgrounds, document headers, document footers, document body, page length, number of steps to library home page from parent institution Web site, and domain name servers. A typical home page is discussed using the averages of these results.
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Mitra, Arnab, and Anirban Kundu. "Energy Efficient CA based Page Rank Validation Model." International Journal of Green Computing 8, no. 2 (July 2017): 59–76. http://dx.doi.org/10.4018/ijgc.2017070104.
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Page rank plays an important role in processing of an indexed list for relevant web pages/ clouds by search engines. Validation of computed page rank is significantly important towards the reliability enhancement for a computed page rank. Besides, energy efficiency is a major concern towards environmental sustainability. Detailed analysis on the Cellular Automata based page rank validation model explores that energy efficiency, and low cost physical implementation capability are present in it, and thus it explores its potential competence as a green model in Cloud environment. Experimental results confirm the effectiveness of proposed design.
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El Louadi, Mohamed, and Imen Ben Ali. "Perceived and Actual Web Page Loading Delay." Journal of Information Technology Research 3, no. 2 (April 2010): 50–66. http://dx.doi.org/10.4018/jitr.2010040104.
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The major complaint users have about using the Web is that they must wait for information to load onto their screen. This is more acute in countries where bandwidth is limited and fees are high. Given bandwidth limitations, Web pages are often hard to accelerate. Predictive feedback information is assumed to distort Internet users’ perception of time, making them more tolerant of low speed. This paper explores the relationship between actual Web page loading delay and perceived Web page loading delay and two aspects of user satisfaction: the Internet user’s satisfaction with the Web page loading delay and satisfaction with the Web page displayed. It also investigates whether predictive feedback information can alter Internet user’s perception of time. The results show that, though related, perceived time and actual time differ slightly in their effect on satisfaction. In this case, it is the perception of time that counts. The results also show that the predictive feedback information displayed on the Web page has an effect on the Internet user’s perception of time, especially in the case of slow Web pages.
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Mani Sekhar, S. R., G. M. Siddesh, Sunilkumar S. Manvi, and K. G. Srinivasa. "Optimized Focused Web Crawler with Natural Language Processing Based Relevance Measure in Bioinformatics Web Sources." Cybernetics and Information Technologies 19, no. 2 (June 1, 2019): 146–58. http://dx.doi.org/10.2478/cait-2019-0021.
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Abstract In the fast growing of digital technologies, crawlers and search engines face unpredictable challenges. Focused web-crawlers are essential for mining the boundless data available on the internet. Web-Crawlers face indeterminate latency problem due to differences in their response time. The proposed work attempts to optimize the designing and implementation of Focused Web-Crawlers using Master-Slave architecture for Bioinformatics web sources. Focused Crawlers ideally should crawl only relevant pages, but the relevance of the page can only be estimated after crawling the genomics pages. A solution for predicting the page relevance, which is based on Natural Language Processing, is proposed in the paper. The frequency of the keywords on the top ranked sentences of the page determines the relevance of the pages within genomics sources. The proposed solution uses a TextRank algorithm to rank the sentences, as well as ensuring the correct classification of Bioinformatics web page. Finally, the model is validated by being compared with a breadth first search web-crawler. The comparison shows significant reduction in run time for the same harvest rate.
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KUPPUSAMY, K. S., and G. AGHILA. "SCOPAS — SEMANTIC COMPUTATION OF PAGE SCORE." International Journal of Information Technology & Decision Making 12, no. 06 (November 2013): 1309–31. http://dx.doi.org/10.1142/s0219622013500387.
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This paper presents a novel model for scoring web pages, entitled SCOPAS (Semantic COmputation of PAge Score). With the prolific growth in the number of users of World Wide Web and the heterogeneity of their information needs, it becomes mandatory to evaluate the relevance of a web page in terms of user specific requirements. SCOPAS is aimed at modeling the web pages to facilitate efficient evaluation by harnessing the inherent features of the page in terms of its content and structure. The proposed model further enriches the scoring procedure by fine-graining the evaluation to a micro level through segmentation of the page. A variable magnitude, multi-dimensional approach is proposed for evaluating each of the segments by incorporating the relevance of intra-segment level components. The user-interest is captured with the help of FOAF (Friend Of A Friend) Ontology to achieve personalized page scoring. The generic SCOPAS model is extended to SCOPAS-Rank, which explores utilization of the model in improving the web search engine's result ordering. A prototype implementation of the proposed SCOPAS-Rank model is developed and experiments were conducted on it. The results of the experiments validate the effectiveness of the proposed model.
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Connoway, Karien, Hannah Keal, Milandré van Lill, and Marina Joubert. "Increasingly polarised or finding common ground? Exploring pro- and anti-vaccine rhetoric on two South African Facebook pages." Journal of Science Communication 21, no. 05 (August 22, 2022): A04. http://dx.doi.org/10.22323/2.21050204.
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We investigated pro- and anti-vaccine rhetoric on two South African Facebook pages to identify the nature, sources and justifications of the vaccine-related claims published on these pages. Our dataset consisted of 440 Facebook posts made by page administrators during 2019. Statements related to the safety and necessity of vaccines dominated the pro-vaccine page, while the anti-vaccine page focussed primarily on claims about the dangers of vaccines. Posts on both pages frequently contained content shared from within Facebook, with much of the content originating from the United States. Both pages made equal use of scientific justifications (i.e. published journal articles) to support claims, and most of these articles were published in accredited journals. The authors hope that a better understanding of the nature, sources and justifications of pro- and anti-vaccine rhetoric may lead to more constructive dialogue about vaccines, including the ongoing debate about COVID-19 vaccines.
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Sumathi, G., S. Sendhilkumar, and G. S. Mahalakshmi. "Ranking Pages of Clustered Users using Weighted Page Rank Algorithm with User Access Period." International Journal of Intelligent Information Technologies 11, no. 4 (October 2015): 16–36. http://dx.doi.org/10.4018/ijiit.2015100102.
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The World Wide Web comprises billions of web pages and a tremendous amount of information accessible inside of web pages. To recover obliged data from the World Wide Web, search engines perform number of tasks in light of their separate structural planning. The point at which a user gives a query to the search engine, it commonly returns a bulky number of pages related to the user's query. To backing the users to explore in the returned list, different ranking techniques are connected on the search results. The vast majority of the ranking calculations, which are given in the related work, are either link or content based. The existing works don't consider user access patterns. In this paper, a page ranking approach of Weighted Page Rank Score Algorithm taking user access is being conceived for search engines, which deals with the premise of weighted page rank method and considers user access period of web pages into record. For this reason, the web users are clustered based on the Particle Swarm Optimization (PSO) approach. From those groups, the pages are ranked by improving the weighted page rank approach with usage based parameter of user access period. This calculation is utilized to discover more applicable pages as per user's query. In this way, this idea is extremely helpful to show the most important pages on the uppermost part of the search list on the principle of user searching behavior, which shrinks the search space on a huge scale.
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Hynds, Ernest C. "Editors at Most U.S. Dailies See Vital Roles for Editorial Page." Journalism Quarterly 71, no. 3 (September 1994): 573–82. http://dx.doi.org/10.1177/107769909407100309.
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Editors and editorial page editors remain positive about the role of the editorial in today's newspapers. They believe editorial pages provide information, analyses, benchmarks, and public forums to assist readers in making decisions and taking action on issues. This study provides comparative data about editorial page features for similar studies conducted in 1975, 1983, and 1992. In this survey most editors reported increased reader involvement in the editorial page, especially in letters columns.