Academic literature on the topic 'Keywords: Correlation'

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Journal articles on the topic "Keywords: Correlation"

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J, Ujwala Rekha. "Instant fuzzy search using probabilistic-correlation based ranking." Indian Journal of Science and Technology 13, no. 11 (2020): 1270–75. https://doi.org/10.17485/IJST/v13i11.2020-32.

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Abstract <strong>Background</strong>&nbsp;<strong>:</strong>&nbsp;Instant search recommends completions of the query &lsquo;on the fly&rsquo;, and instantly displays the results with every keystroke. It is desirable that these query results be robust against typographical errors that appear not only in the query but also in the documents. Additionally, instant search requires instant response time and ranking of the results to focus on the most important answers.&nbsp;<strong>Method:</strong>&nbsp;In this study, simple and efficient methods for instant fuzzy single keyword and multi-keyword se
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Nomalisa, Nur Edi, and Retno Widowati. "A bibliometric analysis using the VOS Viewer: Green marketing, repurchase intention, and correlations." Multidisciplinary Reviews 7, no. 6 (2024): 2024119. http://dx.doi.org/10.31893/multirev.2024119.

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This study uses the SCOPUS database to analyze the evolution of publications on green marketing, repurchase intention, and their relationships. The VOSviewer software program was used in this study's bibliometric analysis approach to construct and display a bibliometric network. Researchers were selected using the SCOPUS database's top keywords for green marketing, repurchase intention, and correlation between 2003 and 2022. The number of publications identified according to the keywords initially appeared to be 5.481 for green marketing, 1.658 for repurchase intention and 13 for keyword green
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Shirakura, Yumi, and Lei Li. "An Improved Elite Correlation Selection Using the Correlation Tournament Selection in Genetic Algorithm." Information 27, no. 2 (2024): 95–110. http://dx.doi.org/10.47880/inf2702-01.

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In this paper, we propose an improved Elite Correlation Selection using the Correlation Tournament Selection in Genetic Algorithm. The new algorithm is applied to a Variable Knapsack Problem and shows a better performance. Keywords: Correlation Tournament Selection, Improved Elite Correlation Selection, Genetic Algorithm, Variable Knapsack Problem
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Mambang, Mambang, Ahmad Hidayat, Finki Dona Marleny, and Johan Wahyudi. "EXPLANATORY DATA ANALISIS UNTUK MENGEVALUASI PENELUSURAN KATA KUNCI VIDEO PEMBELAJARAN DI YOUTUBE DENGAN PENDEKATAN MACHINE LEARNING." Jurnal Informatika Dan Tekonologi Komputer (JITEK) 2, no. 2 (2022): 181–89. http://dx.doi.org/10.55606/jitek.v2i2.287.

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The purpose of this study was to find correlations related to the variable number of impressions, likes, subscribers, and comments on each learning video keyword search on YouTube. This research uses quantitative methods and experiments with secondary data sources. Exploratory Data Analysis in machine learning using several libraries in Python programming produces image visualizations that provide information related to the dataset that has been processed, such as boxplot graphs, histograms, line plots, and correlation graphs. Exploratory Data Analysis with machine learning that we have done f
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Tranbenkova, NA. "к экологиИ ECHINOCOCCUS MULTILOCULARIS (LEUCKART, 1863) И Е. GRANULOSUS (BATSCH, 1786) НА КАМЧАТСКОМ ПОЛУОСТРОВЕ". Meditsinskaia parazitologiia i parazitarnye bolezni, № 1 (7 червня 1992): 45–7. https://doi.org/10.5281/zenodo.15092307.

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Some aspects of dwelling of Echinococcus multilocularis and E. granulosus populations in the Kamchatka Peninsula were considered. Transformation of their natural foci to natural synanthropic due to enrichment of mammalian fauna, increased human density and rural development was noticed. Main quantitative characteristics of infectivity of the worm definitive and intermediate hosts are presented using literature and the author's own data. A correlation was noted between host density and their infectivity with Echinococcus.
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Liu, Hanwen, Shuo Wang, Huali Ren, Shunmei Meng, Jun Hou, and Qianmu Li. "Keywords-Driven Paper Recommendation Based on Mobile Edge Computing Environment Framework." Scientific Programming 2022 (April 8, 2022): 1–17. http://dx.doi.org/10.1155/2022/3943419.

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In the cloud computing era, a paper recommender system is usually deployed on the cloud server and return recommendation results to readers directly. However, considering the paper recommender system, processing tremendous paper citation data on the cloud cannot provide fine-grained personalized and real-time recommendations for each reader because these recommended papers from the cloud are far from readers and probably not correlated strongly with each other for helping each reader research further and deeper in the interested field. Recently, the edge-cloud collaboration-based recommender s
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Kivuti, Edwin Mwosa. "An Evaluation of the Impact of Keyword Frequency on Keyword Prominence." International Journal of Online Marketing 8, no. 3 (2018): 52–70. http://dx.doi.org/10.4018/ijom.2018070104.

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This article describes how search engine optimization(SEO) is becoming an increasing useful technique in online marketing as more people look to the internet to search for information. Search Engine Optimization enables web developers to develop web pages which have a high SERP rankings. A key technique in SEO is through improving the keyword prominence of keywords. In this research, keywords within web pages are extracted, and the correlation between the frequency of these words and their keyword prominence is evaluated. The findings of this research will provide a guideline to SEO practition
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Yoo, Taesang. "ANALYSIS OF UZBEKISTAN'S RELATIONS WITH CHINA, RUSSIA, AND SOUTH KOREA: UTILIZING TEXT MINING BASED ON GDELT BIG DATA." Critique Open Research & Review 02, no. 04 (2024): 1–7. http://dx.doi.org/10.55640/corr-v02i04-01.

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GDELT (Global Dataset on Events, Language, and Tone), a comprehensive event dataset developed in 2013, provides quantifiable data on cooperative and conflictual relations between countries, as well as events related to specific phenomena. Its utility has been widely recognized, and it is actively used in international relations and foreign policy research. This study also utilizes GDELT data to introduce a method for analyzing the relationships between Uzbekistan and China, Russia, and South Korea through keyword correlation indicators derived from text mining, and to present the actual analys
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Kelemen, Sz, L. Varga, and Z. Néda. "Cross-Correlations in the Brownian Motion of Colloidal Nanoparticles." Studia Universitatis Babeș-Bolyai Physica 65, no. 1-2 (2020): 27–34. http://dx.doi.org/10.24193/subbphys.2020.04.

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"The two-body cross-correlation for the diffusive motion of colloidal nano-spheres is experimentally investigated. Polystyrene nano-spheres were used in a very low concentration suspension in order to minimize the three- or more body collective effects. Beside the generally used longitudinal and transverse component correlations we investigate also the Pearson correlation in the magnitude of the displacements. In agreement with previous studies we find that the longitudinal and transverse component correlations decay as a function of the inter-particle distance following a power-law trend with
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Rudy, Hayeem L., and Joseph A. Ricci. "Mining the Twittersphere: Insights about Public Interest in Facial Reanimation Surgery from a Decade of Twitter Data." Indian Journal of Plastic Surgery 55, no. 01 (2021): 031–35. http://dx.doi.org/10.1055/s-0041-1740080.

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Abstract Background With 500 million tweets posted daily, Twitter can provide valuable insights about public discourse surrounding niche topics, such as facial paralysis surgery. This study aims to describe public interest on Twitter relating to facial paralysis and facial reanimation surgery over the last decade. Methods Tweets containing the keywords “facial paralysis” and “Bell's palsy” posted between January 1, 2009, and January 1, 2019, were collected using Twitter Scraper. Tweets were screened by keywords relating to facial paralysis, and usage of these terms trended over time. Logistic
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Dissertations / Theses on the topic "Keywords: Correlation"

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Colpa, Bekir Onur. "Correlation Based Thermal Design Of Air Transport Rack Chassis." Master's thesis, METU, 2011. http://etd.lib.metu.edu.tr/upload/12613517/index.pdf.

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In this thesis, a Thermal Model Tool (TMT) is developed for standard Avionic Transport Rack (ATR) chassis and thermal design of a standard ATR chassis is done using developed TMT. This ATR chassis is a Digital Moving Map (DMAP) of a helicopter and the tool is used to determine the cooling channel details of DMAP. TMT decreases design process steps and eliminates the complexity of the design. Experimental studies are conducted on one of the existing chassis produced in Aselsan Inc. for different operating conditions. There are two different operating conditions for the chassis as 25 &ordm<br>C
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Basinger, John A. "Detail Extraction from Electron Backscatter Diffraction Patterns." BYU ScholarsArchive, 2011. https://scholarsarchive.byu.edu/etd/2689.

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Cross-correlation based analysis of electron backscatter diffraction (EBSD) patterns and the use of simulated reference patterns has opened up entirely new avenues of insight into local lattice properties within EBSD scans. The benefits of accessing new levels of orientation resolution and multiple types of previously inaccessible data measures are accompanied with new challenges in characterizing microscope geometry and other error previously ignored in EBSD systems. The foremost of these challenges, when using simulated patterns in high resolution EBSD (HR-EBSD), is the determination of patt
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Koutný, Jiří. "Data driven SEO." Master's thesis, Vysoká škola ekonomická v Praze, 2011. http://www.nusl.cz/ntk/nusl-150119.

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The Search Engine Optimization (SEO) industry has recently undergone major changes. Many new analytics tools have been put on the market enabling marketing consultants to be finally able to measure and evaluate the results of their work in SEO effectively. The theoretical part of this diploma thesis therefore aims to describe and compare selected SEO tools including practical examples of their use. The paper is focused on backlink databases (MajesticSEO, SEOmoz OpenSiteExplorer and Ahrefs) and keyword suggestion tools from Google (AdWords), Seznam (Sklik), Wordtracker and SEMRush. The final ch
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Anifowose, Olakunle. "DESIGN OF A KEYWORD SPOTTING SYSTEM USING MODIFIED CROSS-CORRELATION IN THE TIME AND THE MFCC DOMAIN." Master's thesis, Temple University Libraries, 2012. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/205117.

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Electrical Engineering<br>M.S.E.E.<br>Abstract A Keyword Spotting System (KWS) is a system that recognizes predefined keywords in spoken utterances or written documents. The objective is to obtain the highest possible keyword detection rate without increasing the number of false detections in a system. The common approach to keyword spotting is the use of a Hidden Markov Model (HMM). These are usually complex systems which require training speech data. The Typical HMM approach uses garbage templates or HMM models to match non-keyword speech and non-speech sounds. The purpose of this research i
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Li, Jianghua. "Three Essays in Energy Economics." Thesis, 2012. http://hdl.handle.net/1911/64606.

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This thesis includes three chapters on electricity and natural gas prices. In the first chapter, we give a brief introduction to the characteristics of power prices and propose a mean reversion jump diffusion model, in which jump intensity depends on temperature data and overall system load, to model electricity prices. Compared to the models used in the literature, we find the model proposed in this chapter is better to capture the tail behavior in the electricity prices. In the second chapter, we use the model proposed in the first chapter to simulate the spark spread option and value the p
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Miranda, Eduardo Lima da Rocha. "Monitoring system for gas cylinders." Master's thesis, 2018. http://hdl.handle.net/10773/28401.

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The LPG (Liquefied Petroleum Gas) cylinder is in circulation for many years, providing gas service for the population. During all those years the same problem persisted, the lack of a viable method to measure the liquid level inside a gas cylinder automatically and without the intervention of the user. If the distributor had access to the level of gas of each gas cylinder in a database, it would be possible to warn the user about the gas level and offer to trade the empty tank for a full one providing a new way of interaction between the user and the distributor. A solution that could enable t
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詹權恩. "A Document Keyword Extraction Model Using the Keyword Correlation Thesaurus." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/583t5x.

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碩士<br>國立清華大學<br>工業工程與工程管理學系<br>92<br>Abstract Recently, due to the large amount of electronic information over the Internet, to efficiently retrieve and filter information that meets the user requirements has become an essential issue for enterprise document/knowledge management. In addition, in order to assist users quickly acquire the critical information in the documents, keyword extraction of each document is necessary. Traditionally, document keywords are determined manually and much expertise and time are required. In this research, algorithms for automatic keyword correlation analys
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Chou, Hsiao-Han, and 周筱函. "Correlation between Public Opinions and the Keyword Frequency in Search Engine in Environmental Issues in Taiwan." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/38514783065304283363.

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碩士<br>國立高雄師範大學<br>環境教育研究所<br>100<br>In the era of environmental awareness and protection, governments and private industries are all investing resources in all sorts of environmental issues. It is crucial to find a communication platform between the government and the general public in fighting the climate change and associated global issues. Literatures suggest that keyword search is a gateway of information acquisition, and the volume of the keyword search counts has high correlation to the interest of such keyword. It has been successfully used for flu outbreak prediction by US CDC (Google
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Book chapters on the topic "Keywords: Correlation"

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Yoshida, Tetsuya, Daiki Shinkai, and Shogo Nishida. "Utilizing the Correlation between Query Keywords for Information Retrieval." In Advances in Web-Age Information Management. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-47714-4_5.

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Llorente, Ainhoa, Enrico Motta, and Stefan Rüger. "Image Annotation Refinement Using Web-Based Keyword Correlation." In Semantic Multimedia. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-10543-2_22.

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Woo, Young-Ho, Do-Hyun Nam, Tai-Sung Hur, et al. "Automated Keyword Extraction Using Category Correlation of Data." In Computational Science and Its Applications - ICCSA 2006. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11751588_24.

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Lorenz, Reilly, Jacob Beck, Sophie Horneber, Florian Keusch, and Christopher Antoun. "Google Trends as a Tool for Public Opinion Research: An Illustration of the Perceived Threats of Immigration." In IMISCOE Research Series. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-01319-5_10.

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AbstractTo gather public opinion data on sensitive topics in real-time, researchers are exploring the use of Internet search data such as Google Trends (GT). First, this chapter describes the characteristics and nature of GT data, and then provides a case study that examines the salience of perceived threats related to immigration in Germany based on the share of Google search queries that include language about these threats. Last, we discuss the advantages and possible challenges of utilizing GT data in social scientific research. We used the national polling results for the German right-win
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Melacarne, Claudio, and Marina Slavutzky. "Radicalization: An Educational Approach." In Global War on Terrorism - Revisited [Working Title]. IntechOpen, 2023. http://dx.doi.org/10.5772/intechopen.1003963.

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This chapter aims to discuss the possibility of applying educational principles of Transformative Learning Theory to understand and eventually prevent violent radicalization. To begin, keywords – radicalization, extremism, and terrorism – are briefly presented to draw and limit the spaces usable for understanding this complex debate. Next, some space is dedicated to the correlation between Transformative Learning Theory and radicalization. Finally, a short biography is used as a case study to describe how everyday life can generate an environment where people can learn how to think radically a
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Yang, Yang, Shu-Feng Tsao, Mohammad A. Basri, Helen H. Chen, and Zahid A. Butt. "Digital Disease Surveillance for Emerging Infectious Diseases: An Early Warning System Using the Internet and Social Media Data for COVID-19 Forecasting in Canada." In Caring is Sharing – Exploiting the Value in Data for Health and Innovation. IOS Press, 2023. http://dx.doi.org/10.3233/shti230290.

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Background: Emerging Infectious Diseases (EID) are a significant threat to population health globally. We aimed to examine the relationship between internet search engine queries and social media data on COVID-19 and determine if they can predict COVID-19 cases in Canada. Methods: We analyzed Google Trends (GT) and Twitter data from 1/1/2020 to 3/31/2020 in Canada and used various signal-processing techniques to remove noise from the data. Data on COVID-19 cases was obtained from the COVID-19 Canada Open Data Working Group. We conducted time-lagged cross-correlation analyses and developed the
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Kumar, Jasher Ashok, and Andrisha Beharry Ramraj. "The Role of Ethical Climate and Leadership in Shaping Work Commitment and Organizational Behaviour." In Advances in Ethical Work Climate and Employee Well-Being. IGI Global, 2025. https://doi.org/10.4018/979-8-3693-8819-8.ch004.

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The ethical climate, shaped by policies, leadership, and practices, profoundly influences organizational behaviour, employee engagement, job satisfaction, and overall work performance. Organizations increasingly recognize the importance of fostering an ethical work climate, yet many struggle to effectively implement and maintain ethical standards that align with employee values and organizational goals. Therefore, this study aimed to investigate the relationship between an ethical work climate and employee performance. This was achieved through secondary data by using a desktop statistical and
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Pech, D., F. Arcega-Cabrera, I. Hernández-Ávila, and C. E. Paz-Rios. "Asociación entre la Macrofauna Bentónica y los Contaminantes Sedimentarios en la Plataforma Continental de Yucatán." In Tópicos Selectos de Contaminación Ambiental. EPOMEX-UAC, 2025. https://doi.org/10.26359/epomex01202509.

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This study examines the possible correlation between the composition of benthic macrofauna species and the levels of aliphatic hydrocarbons, polycyclic aromatic hydrocarbons, and metals found in the sediments of the continental shelf of Yucatan (csy), Mexico. The main goal is to provide information about how this correlation changes over time and space based on longitudinal and depth gradients. The composition of benthic species and the concentrations of Al, Ni, and Pb differed significantly between the sub-regions of the csy (Western Caribbean, Central Yucatan, and Western Yucatan), as well a
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Bilge Ugur, Bozkurt Selen, Yolcular Basak Oguz, and Ozel Deniz. "Can Social Web Help o Detect Influenza Related Illnesses in Turkey?" In Studies in Health Technology and Informatics. IOS Press, 2012. https://doi.org/10.3233/978-1-61499-052-9-100.

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In this study, a content analysis of Twitter is carried out to determine the frequency of tweets mentioning influenza like illnesses (swine flu, cold etc.) and results have been compared with news articles, Google search trends and national health statistics in Turkey. Between 1st January 2009 and 31st December 2010, over 4,165 influenza-related Turkish posts on Twitter and 10,000 news articles in three leading Turkish newspaper websites containing influenza related keywords have been analyzed. No strong correlation has been found between influenza related online data and the real world record
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Stamou, Sofia. "Using Topic-Specific Ranks to Personalize Web Search." In Handbook of Research on Digital Libraries. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-59904-879-6.ch018.

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This chapter introduces a personalized ranking function as a means of offering Web information seekers with search results that satisfy their particular interests. It argues that users’ preferences can be accurately identified based on the semantic analysis of their previous searches and that learnt user preferences can be fruitfully employed for personalizing search results. In this respect, we introduce a ranking formula that encapsulates the user’s interests in the process of ordering retrieved results so as to meet the user’s needs. For carrying out our study we relied on a lexical ontolog
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Conference papers on the topic "Keywords: Correlation"

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Umar, Muhammad Zakaria, Abdul Mufti Radja, Mohammad Mochsen Sir, and Afifah Harisah. "Review-Journal: Architectural Morphology in the Grand Mosque Building of the Sultanate of Buton." In International Conference on Research in Engineering and Science Technology (IC-REST) 2023. Trans Tech Publications Ltd, 2025. https://doi.org/10.4028/p-yrwh6a.

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Buton Island is one of the largest Islamic Sultanate territories in Indonesia. One of the remains of the Buton Sultanate is the Grand Mosque of the Buton Sultanate (TGMOTSOB). TGMOTSOB was founded in 1537 and 1929 and renovated by the 37th Sultan of Buton. Over time TGMOTSOB has experienced changes in the appearance of the building. Changes in form in architecture fall within the scope of synchronic and diachronic. Changes in architecture and morphology correlate synchronically and diachronically. This correlation is important to explore to explain changes in ideas and meanings in the history
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Zheng, Yongqing, Yufang Bian, Xin Du, and Hongchen Wu. "A Deep Web Database Sampling Method Based on High Correlation Keywords." In 2012 9th Web Information Systems and Applications Conference (WISA). IEEE, 2012. http://dx.doi.org/10.1109/wisa.2012.25.

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Liu, Hanwen, Huaizhen Kou, Xiaoxiao Chi, and Lianyong Qi. "Combining time, keywords and authors information to construct papers correlation graph (S)." In The 31st International Conference on Software Engineering and Knowledge Engineering. KSI Research Inc. and Knowledge Systems Institute Graduate School, 2019. http://dx.doi.org/10.18293/seke2019-161.

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Wang, Keping, and Zhigang Zhang. "Effective image annotation based on the diverse density algorithm and keywords correlation." In 3rd International Conference on Digital Image Processing, edited by Ting Zhang. SPIE, 2011. http://dx.doi.org/10.1117/12.896094.

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Minami, Toshiro, and Yoko Ohura. "A Correlation Analysis of Student's Attitude and Outcome of Lectures - Investigation of Keywords in Class-Evaluation Questionnaire." In Future Generation Communication and Networking 2014. Science & Engineering Research Support soCiety, 2014. http://dx.doi.org/10.14257/astl.2014.73.03.

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Tsung-Ming, Hsiao, and Tang Muh-Chyun. "Knowledge Combination and Research Impact: A Comparison of Sources and Keywords Co-Citation." In 20th International Conference on Scientometrics & Informetrics. Institute for Informatics and Automation Problems of NAS RA, 2025. https://doi.org/10.51408/issi2025_025.

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Combining knowledge from diverse origins has long been recognized as a key driver of innovation. Although many studies have examined how such combinations influence research impact, their findings remain inconsistent. One potential reason is the use of different units of measurement for novelty and conventionality. Using data from the DBLP Citation Network, this study compares two approaches—one based on sources and the other on keywords co-cited frequency—to measure research novelty. We found a low correlation between these two measures, suggesting that each captures distinct aspects of novel
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Dhahir Omar Amen, Sakar. "The Effects of Financial Disclosure on Improving Accounting Education: An Empirical Study in A Group of Iraqi Universities." In The 5th International Scientific Conference on Administrative and Financial Sciences (CIC-ISCAFS'2025). Cihan University-Erbil, 2025. https://doi.org/10.24086/icafs2025/paper.1739.

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Abstract— The present study aims to identify the effectiveness of financial disclosure in promoting accounting Education in a group of Iraqi universities, and the hypotheses of the study were developed to achieve its purposes and directions, and distributed (144) questionnaire to academics in the universities in question retrieved (135), and the study hypotheses were tested using (The correlation coefficient and the multiple regression coefficient) to diagnose the correlation and impact relationships between the variables under consideration, the study reached a set of conclusions, the most im
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Bačić, Mario, Lovorka Librić, and Meho Saša Kovačević. "LIQUEFACTION ASSESSMENT USING A SYNTHETIC CPT DERIVED FROM CORRELATION WITH SHEAR WAVE VELOCITY." In 3rd Croatian Conference on Earthquake Engineering. University of Zagreb Faculty of Civil Engineering, 2025. https://doi.org/10.5592/co/3crocee.2025.148.

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The assessment of liquefaction potential is critical in regions subject to seismic activity, as it can cause significant damage to buildings and infrastructure. However, the reliability of liquefaction potential evaluations is highly dependent on the assessment methods employed and the number of representative investigations conducted. This issue is particularly pertinent when assessing linear infrastructure, such as levees, which are often constructed on sediments prone to liquefaction. This study introduces an innovative approach for evaluating liquefaction potential using the synthetic Cone
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Chularathna, P. K. G. O. T., and N. Somaratna. "Experimental Investigation of Some Strength Parameter Correlation in Blended Cement Concrete." In 3rd SLIIT International Conference on Engineering and Technology. SLIIT, 2024. http://dx.doi.org/10.54389/nvbf2715.

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Sri Lanka has adopted Eurocodes for structural designs. Accordingly, the design of concrete structures should adhere to EN1992 (Eurocode 2). The strength parameters of concrete essential for designs are classified in Eurocode 2 based on the compressive strength of concrete. Most of the other relevant strength parameters are derived using correlations with compressive strength. These correlations based on past empirical test results would typically be valid for concrete made using ordinary Portland cement (OPC). Recently there has been a tendency to use blended cements for concrete. To develop
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Vesković, Slavko, Sanjin Milinković, Gordan Stojić, Norbert Pavlović, and Ivan Belošević. "One Approach to Forecasting Methodology in Rail Passenger Traffic." In TRANSPORT FOR TODAY'S SOCIETY. Faculty of Technical Sciences Bitola, 2021. http://dx.doi.org/10.20544/tts2021.1.1.21.p23.

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Abstract –The paper presents a methodology for predicting the number of passengers on a line that is being modernized by increasing the existing speed to 160 km / h. The forecast was made for two scenarios: without project and with project. The process is complex and involves the application of correlation methods, growth rates, surveys, and heuristic forecasting models. Keywords –forecast, railway, heuristics, surveys.
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Reports on the topic "Keywords: Correlation"

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Lipiński, Artur. Dashed Hopes and the Success of the Populist Right: The Case of the 2024 European Elections in Poland. European Center for Populism Studies (ECPS), 2024. http://dx.doi.org/10.55271/rp0079.

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The European Parliament elections of 9 June 2024 were the next stage in the electoral marathon started by parliamentary elections in 2023 and local elections earlier in 2024 and ended with a good result for the populist Law and Justice Party (Prawo i Sprawiedliwość, PiS) and the radical-right Confederation of Freedom and Independence (Konfederacja Wolność i Niepodległość), confirming the relevance of right-wing populist parties in Poland. The combined electoral outcome of both PiS (36.16%) and Confederation (12.08%) is only slightly below 50%. The hopes of all those who treated the 2023 parlia
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Stelmakh, Marta. Тематика російсько-української війни в контексті геополітичних змін у працях Енн Еплбаум. Ivan Franko National University of Lviv, 2023. http://dx.doi.org/10.30970/vjo.2023.52-53.11735.

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The article analyses the topic of the Russian war against Ukraine in the works of Anne Applebaum. The subject of the study is the Russian-Ukrainian war in the context of changes in the world order in the journalist articles published since the beginning of the full-scale invasion. This article highlights the main theses and ideas of the author and her predictions about the future of democracy. The need for a critical analysis of the world changes and a response to the expansionist actions of authoritarian states is substantiated. The main goal of the work is to find out the particularities of
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Kvasnytsia, Olha, Iryna Sniadanko, and Khrystyna Verbytska. THE ROLE OF SENSE OF LIFE ORIENTATIONS IN THE FORMATION OF EXISTENTIAL FULFILLMENT OF STUDENT-JOURNALISTS. Ivan Franko National University of Lviv, 2025. https://doi.org/10.30970/vjo.2025.56.13277.

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Aim. The purpose of the article is to analyse the relationship between the level of existential fulfillment, sense- of- life and value orientations of students majoring in “Journalism”. The results of the study will contribute to the psychological preparation of students majoring in journalism for future professional activities. The article is based on the analysis of the relationship between the level of existential fulfillment, sense-of -life and value orientations of students majoring in “Journalism”. The article reveals the content and significance of existential fulfillment, sense-of-life
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Wathtuwa-Durayalage, Sudeshika. Impact of Civilizational Populism on Intergroup Emotions, Social Cohesion, and Civility in the UK. European Center for Populism Studies (ECPS), 2025. https://doi.org/10.55271/jps000115.

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This study investigates the impact of civilizational populism on intergroup emotions, social cohesion, and civility in the United Kingdom using quantitative analysis of British Social Attitudes Survey (BSA) 2021 data. The findings reveal significant correlations between exposure to populist rhetoric and heightened negative emotions, such as fear and anger, toward ethnoreligious and political minorities (r = 0.56). While political affiliation demonstrates a weaker direct influence (r = 0.14), perceptions of migration as culturally and economically beneficial are strongly associated with higher
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