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Journal articles on the topic 'Keywords: Correlation'

Author: Grafiati

Published: 5 June 2025

Last updated: 2 August 2025

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1

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> <strong>:</strong> Instant search recommends completions of the query ‘on the fly’, 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. <strong>Method:</strong> 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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Lima, Marcelle Teodoro, Kelly Cristina Tonello, Julieta Bramorski, Marcia Magalhães de Arruda, and Gregorio Nolazco Matus. "Overview of studies on stemflow chemistry effect on soil:systematic review of the literature." Revista Brasileira de Ciências Ambientais 57, no. 1 (2021): 137–47. http://dx.doi.org/10.5327/z217694781137.

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The study systematically analyzes the literature in order to identify the main contributions of the trunk runoff study on the soil nutrient flux in recent years. The review included 47 articles published from 2015 to 2019. The aim of the present study is to correlate the main stemflow research subtopics that have contributed to chemical soil enrichment. Correlation analysis was performed in Iramuteq software with the aid of R software, based on keywords in the selected articles. There has been an overall upward trend in research related to stemflow impact on soil nutrient flux, mainly in Asia,

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Mirmazloumi, S. Mohammad, Mahmod Reza Sahebi, and Meisam Amani. "New empirical backscattering models for estimating bare soil surface parameters." International Journal of Remote Sensing, 42, no. 5 (2020): 1928–47. https://doi.org/10.1080/01431161.2020.1847353.

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Various models have been proposed to estimate the degree of backscatter in Synthetic Aperture Radar (SAR) images. However, it is still necessary to calibrate these models based on the characteristics of different study areas and to propose new models to achieve the highest possible accuracy in estimating the backscattering coefficient (σ0) SAR. In this study, three empirical models, including Champion, Sahebi and Zribi/Dechambre, were initially calibrated for two SAR datasets (i.e. The Airborne Synthetic Aperture Radar (AIRSAR) and Canadian Space Agency radar satellite (RADARSAT-1)) acqu

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P., B. Sable1 and D. P. Waskar2. "CORRELATION STUDIES ON SEED GERMINATION OF KHIRNI UNDER SHADE NET HOUSE CONDITION." MULTILOGIC IN SCIENCE XXXXVIII, OCT 2023 (2023): 1047–48. https://doi.org/10.5281/zenodo.8402015.

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An investigation was carried out on correlation studies on seed germination of Khirni (Manilkara hexandra, L.) seedlings under shade net house condition at Department of Horticulture, Vasantrao Naik Marathwada Agricultural University, Parbhani (M.S.), India during the year 2006-07 and 2007-08. Under shade net house condition, a strong positive correlation of shoot length, number of leaves, fresh weight, dry weight and root length of seedling was exhibited with the germination percentage. Number of days taken to initiate germination was found non-significant with germination percentage of Khirn

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Nugroho, Heru Santoso Wahito, Sanglar Polnok, Tanko Titus Auta, et al. "What is a Good Way to Visualize the Positive Correlation between Two Numerical Variables?" Aloha International Journal of Multidisciplinary Advancement (AIJMU) 3, no. 2 (2021): 24. http://dx.doi.org/10.33846/aijmu30201.

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Most of the results of correlation analysis between variables are not equipped with visualization, so it is deemed necessary to explain how best to visualize the results of correlation analysis, especially for numerical variables. In this case, the best way to present correlations between numerical variables is a scatter diagram. If the points on the diagram are closer to the straight line, the higher the correlation coefficient, meaning that the degree of correlation is getting stronger. In this case, the positive correlation is indicated by the line from the lower left to the upper right. Th

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Kim, Guen-Han, Jinvo Nam, Hee-Sun Choi, Yong-Il Cho, and Gil-Sang Lee. "Network Mapping Interface Analysis between Carbon and Trees Corresponding to Climate Change." Journal of People, Plants, and Environment 25, no. 6 (2022): 773–82. http://dx.doi.org/10.11628/ksppe.2022.25.6.773.

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Background and objective: There have been increasing correlations between the keywords 'carbon' and 'tree' in response to issues related to climate change adaptation. Given this, a study that explores how these keywords relate to issues on climate change adaptation would be significant contribution to the literature. Therefore, this study aims to determine the correlation between these keywords and their network.Methods: To address the aim, the study employed a bibliometric analysis using the VOSviewer software to conduct network-mapping interface analysis using co-occurrence-based visualizati

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Mambang, Mambang, Ahmad Hidayat, Johan Wahyudi, and Finki Dona Marleny. "Explanatory Data Analysis to Evaluate Keyword Searches for Educational Videos on YouTube with a Machine Learning Approach." SinkrOn 7, no. 3 (2022): 915–22. http://dx.doi.org/10.33395/sinkron.v7i3.11502.

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One of the most important parts of data science is the process of explanatory data analysis. This study aims to analyze learning videos on YouTube using search keywords such as learning biology, chemistry, physics, computers, mathematics, management, accounting, citizenship, history, and culture. The method used is the explanatory data analysis technique with a Machine Learning approach. The dataset used in this study uses learning video search keywords found on the YouTube digital platform. After doing a thorough analysis of all existing variables, we found that in the context of searching fo

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König, Volker, and Ralph Mösges. "A Model for the Determination of Pollen Count Using Google Search Queries for Patients Suffering from Allergic Rhinitis." Journal of Allergy 2014 (June 19, 2014): 1–9. http://dx.doi.org/10.1155/2014/381983.

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Background. The transregional increase in pollen-associated allergies and their diversity have been scientifically proven. However, patchy pollen count measurement in many regions is a worldwide problem with few exceptions. Methods. This paper used data gathered from pollen count stations in Germany, Google queries using relevant allergological/biological keywords, and patient data from three German study centres collected in a prospective, double-blind, randomised, placebo-controlled, multicentre immunotherapy study to analyse a possible correlation between these data pools. Results. Overall,

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Son, Ji Hoon, and Han Woo Park. "Regional interest and network in 2022 South Korea's presidential election using Google Trends." Korean Data Analysis Society 24, no. 5 (2022): 1975–87. http://dx.doi.org/10.37727/jkdas.2022.24.5.1975.

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This study examines Google Trends data collected during the South Korea's presidential election in 2022 using network analysis and correlation analysis. Data was collected during a year, from March 7, 2021 to March 7, 2022. First, regional interest and election keywords were examined. Second, for each candidate, an analysis of associated search terms was done. Finally, the relationship between Google Trends data and real votes was discovered. The 2-mode matrix was used for network visualization, centrality analysis, and correlation analysis. The analyses confirmed the existence of keywords tha

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Saeed, Isam S., and Christian M.O. Kapel. "POPULATION DYNAMICS AND EPIDEMIOLOGY OF TOXOCARA CANIS IN DANISH RED FOXES." Journal of Parasitology 92 (June 7, 2006): 1196–201. https://doi.org/10.1645/GE-720R.1.

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Toxocara canis, an intestinal helminth of canids with zoonotic potential, was found in 618 (59%) of 1,040 red foxes (Vulpes vulpes) collected from all Danish provinces (1997-2002). The prevalence and average worm burden were significantly higher for cubs than older foxes and in males than in females. A multiple logistic regression demonstrated that the prevalence was influenced significantly by sex and age of foxes in addition to location, season, and year of collection. The highest prevalence and worm burden were found in rural areas. The size and number of female worms was positively correla

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Elamathi, V., and S. Jayalekshmi. "Quantification of Clay Minerals and Its Correlation with Chemical and Index Properties of Soil." Jordan Journal of Civil Engineering 17, no. 1 (2023): 163–75. http://dx.doi.org/10.14525/jjce.v17i1.14.

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Clay-mineral composition is one of the factors that determine the physical and engineering behaviours of finegrained soils; however, it is usually ignored in soil investigations, because the determination of clay-mineral composition necessitates using sophisticated instruments which are time-consuming and require skilled personnel. Many correlations exist for faster prediction of soil engineering properties from its index properties, but correlations for quicker determination of the amount of clay mineral in the soil are still unexplored. This study focuses on determining the amount of clay mi

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Qian, Jiale, Yunyan Du, Fuyuan Liang, et al. "Quantifying Urban Linguistic Diversity Related to Rainfall and Flood across China with Social Media Data." ISPRS International Journal of Geo-Information 13, no. 3 (2024): 92. http://dx.doi.org/10.3390/ijgi13030092.

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Understanding the public’s diverse linguistic expressions about rainfall and flood provides a basis for flood disaster studies and enhances linguistic and cultural awareness. However, existing research tends to overlook linguistic complexity, potentially leading to bias. In this study, we introduce a novel algorithm capturing rainfall and flood-related expressions, considering the relationship between precipitation observations and linguistics expressions. Analyzing 210 million social media microblogs from 2017, we identified 594 keywords, 20 times more than usual manually created bag-of-words

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Adams, Thomas, Syed Muslim Jameel, and Jamie Goggins. "Education for Sustainable Development: Mapping the SDGs to University Curricula." Sustainability 15, no. 10 (2023): 8340. http://dx.doi.org/10.3390/su15108340.

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Education for sustainable development (ESD) is a growing research field, particularly over the last decade. Measuring the level of ESD that is currently embedded in curricula is useful for planning the further implementation of sustainability-related teaching. The Sustainable Development Goals (SDGs) are a useful benchmark for sustainability topics and so this paper follows a methodology in which a keyword scanning tool was created to quantify the level of SDG coverage within a list of learning outcomes for a module. The aim of the research is to further develop this methodology and compare th

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Tamba, Gabriela Eliza Fabrianne, and Rizma Adlia Syakurah. "Tracing Diagnosis COVID-19 Analysis on Google by COVID-19 Cases in Indonesia." Jurnal Ilmu Kesehatan Masyarakat 14, no. 1 (2023): 112–26. http://dx.doi.org/10.26553/jikm.2023.14.1.112-126.

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COVID-19 transmission can be controlled through RT-PCR and RDT-Ag diagnostic tests, yet neither test performs well. This has encouraged people to search information for the COVID-19 pandemic response and exposure fears on Google. Therefore, this study analyzes the correlation between COVID-19 diagnosis tracing on Google and new COVID-19 cases in Indonesia. An explanatory mixed method study design was used. A quantitative study was done using time-lag correlation between the keywords, namely “Antigen”, “Swab” dan “PCR” based on Google Trends™ (https: // trend.Google.com/trends) from 13 July 202

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Jehn, Anthony. "The happiness and income correlation in Canada." SURG Journal 7, no. 2 (2014): 13–17. http://dx.doi.org/10.21083/surg.v7i2.2971.

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Does having more income make you happier? Current literature shows varied results regarding the correlation between perceived happiness and income. This article uses data from Statistics Canada's General Social Survey (GSS) in order to examine the relationship between income and perceived happiness in a Canadian context. Findings indicate that annual income does not seem to be correlated with perceived happiness in Canada, thus challenging the age-old adage that money can buy happiness.  Keywords: happiness; income; correlation; Statistics Canada General Social Survey (GSS)

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Terry, Alvin F., and İLKER ETİKAN. "Comparison of canonical correlation and discriminant analysis." Pioneer Journal of Biostatistics and Medical Research 1, no. 2 (2024): 23–27. https://doi.org/10.61171/v01.02.13.

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Learning from data is at the heart of the statistical discipline known as statistics. Understanding statistics, you will be able to use the right techniques to obtain the data, carry out the relevant analysis, and present the results in an effective way if you have a working knowledge of statistics. The process of creating scientific discoveries, as well as decisions and projections that are founded on data, involves the use of statistics, which is a key element in the process. Keywords: Biostatistics, Canonical correlation, Discriminant analysis

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AKINNODI, Phillips Akinrotimi (Ph.D), Adesoji Kayode (Ph.D) ADELOKUN, and Abayomi Joseph (Ph.D) ADEWUMI. "Mathematics Continuous Assessment Scores as Predictors of Students' Performance in Junior Secondary School Mathematics Examinations in Ekiti State, Nigeria." International Journal of Academic Research in Business, Arts & Science (IJARBAS) ® 4, no. 2 (2022): 20–27. https://doi.org/10.5281/zenodo.6327245.

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This study examined Mathematics Continuous Assessment Scores as predictors of students' performance in Junior Secondary School Mathematics Examinations in Ekiti State. The subjects consisted of 360 Junior Secondary School Students sampled from twelve selected Junior Secondary Schools in Ekiti State. Descriptive research design of expo-facto type was adopted. The scores of the students were collected from the selected schools and analysed using correlation analysis. Three null hypotheses were tested using correlation analysis at 0.05 level of significance. Results revealed that there were s

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Aminah, Aan, Teti Sobari, and Siti Fatimah. "HUBUNGAN SELF EFFICACY DENGAN KEMATANGAN KARIER PESERTA DIDIK KELAS XII SMA." FOKUS (Kajian Bimbingan & Konseling dalam Pendidikan) 4, no. 1 (2021): 39. http://dx.doi.org/10.22460/fokus.v4i1.5907.

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The purpose of this study is to study whether there is a relationship between self-efficacy and career maturity of class XII SMA Asshiddiqiyah infuture career decision-making activities. The research method used is quantitative ex post facto correlations with variables that can affect self-efficacy and independent variables career maturity. The research sample involved was 72 students of class XII SMA Asshiddiqiyah. Data analysistechniques using product moment correlation. Based on the hypothesis testing the relationship between self-efficacy with observability, students'training results are o

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Normatov, I. Sh, F. A. Sharofzoda, P. I. Normatov, and M. Ashurov. "Spatial distribution of meteorological conditions in the Zeravshan River basin and their correlation with the Zeravshan River runoff." Hydrometeorological research and forecasting 3 (September 30, 2023): 125–38. http://dx.doi.org/10.37162/2618-9631-2023-3-125-138.

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Correlations between average long-term values of meteorological parameters at weather stations over the period of 1950–2021 are investigated for the western, central, and eastern subregions of the Zeravshan River basin. The analysis of the data made it possible to obtain the information about the air masses transporting moisture, as well as about the distribution of precipitation depending on local orography, geographic latitude, and elevation. The seasonal distribution of long-term average annual runoff of the Zeravshan River is studied. The correlation analysis revealed that the maximum valu

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M. Dima Iqbal, dan Sulastri, Dita Tiara, Akhmad Dakhlan,. "KORELASI GENETIK DAN FENOTIP BOBOT SAPIH DAN BOBOT SATU TAHUN KAMBING SABURAI JANTAN DI KECAMATAN SUMBEREJO KABUPATEN TANGGAMUS." Jurnal Riset dan Inovasi Peternakan (Journal of Research and Innovation of Animals) 3, no. 3 (2019): 37–41. http://dx.doi.org/10.23960/jrip.2019.3.3.37-41.

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This research aimed to determine the value of the genetic and phenotypic correlation between weaning weight and yearling weight of male Saburai goat in Sumberejo District, Tanggamus Regency. Ninety male Saburai goats aged one year were used in this study. This research was conducted from May 11th -- July 28th, 2019. The research used primary and secondary data with direct observation in the field and also recording of the livestock from Sumberejo District. The method used was survey method with purposive sampling. Genetic and phenotipic correlation were estimated using halfsib data. Parameters

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Chandra, Michael, and Rizma Adlia Syakurah. "Potential use of personal protection online search during COVID-19 pandemic for predicting and monitoring public response." International Journal of Public Health Science (IJPHS) 9, no. 4 (2020): 406. http://dx.doi.org/10.11591/ijphs.v9i4.20547.

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COVID-19 has become a global public health emergency in almost all over the world, including in Indonesia. Effective risk communication becomes an emergency response to increase awareness and determine appropriate interventions. The study aimed to assess the success of risk communication monitoring using Google Trends during the COVID-19 pandemic in Indonesia. Quantitative and qualitative research uses time-series data (31 December 2019-2 May 2020). The relative search volume (RSV) of keyword „masker‟ (mask) and „cuci tangan‟ (handwashing) from Google Trends (GT) and the number of COVID-19 dai

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Zhang, Jie Xin. "The Research on Image Semantic Correlation Metrics Based on Word-Net in Communication Material." Advanced Materials Research 738 (August 2013): 268–71. http://dx.doi.org/10.4028/www.scientific.net/amr.738.268.

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In this paper, the semantics of the video image in different size, different levels of abstraction inherent in the semantic concept relations is proposed based on lexical semantic relations between concepts, with Word-Net tree concept hierarchy to organize marked keywords and search keywords thought, between the two images semantic similarity measure convert path from Word-Net concept between the nodes in communication material. The relationship between image semantic concepts is to measure and matching.

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Raiola, Gaetano, Giovanni Esposito, and Tiziana D’Isanto. "Impact of scientific contributions by Italian researchers in the subfield of 'Sport Sciences' using some topic-specific keywords." Volume 18.0, Issue N1 2024, N1 2024 (2024): 56–62. http://dx.doi.org/10.51371/issn.1840-2976.2024.18.1.7.

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Purpose: This study aims to assess the impact of Italian researchers in the field of Exercise and Sports Sciences (ESS) within the 'Sport Sciences' subfield from 2017 to 2022, utilizing a comprehensive analysis of the top 200 researchers through the Scopus Researcher Discovery function. Methods: The researchers were categorized by roles (Full Professors, Associate Professors, and Researchers) and by academic scientific discipline: Physical Training and Methodology (code M-EDF/01) and Sport Sciences and Methodology (code M-EDF/02).Trends of total and relative metrics (citations and h-index) ove

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Tittu T, Anoush, Rakshitha K, Nanditha TN, Sireya Rani M, and Yukthi S R. "STOCK MARKET ANALYSIS." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 01 (2024): 1–10. http://dx.doi.org/10.55041/ijsrem28108.

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The abstract aims to address the correlation between stock market movements and public sentiments expressed on Twitter. It delves into the utilization of sentiment analysis and supervised machine learning techniques to explore this connection. The study leverages Word2vec for textual representation, examining how shifts in stock prices align with sentiments expressed in tweets about specific companies. The investigation underscores the potential impact of positive news and social media sentiments on stock prices, emphasizing a demonstrated correlation between fluctuations in stock prices and s

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Osuolale, F. N., I. I. Olateju, E. O. Oke, et al. "PREDICTION OF HIGHER HEATING VALUE OF BIOMASS BASED ON ULTIMATE AND PROXIMATE ANALYSES." JOURNAL OF THE NIGERIAN SOCIETY OF CHEMICAL ENGINEERS 37, no. 2 (2022): 24–32. http://dx.doi.org/10.51975/22370203.som.

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High heating value (HHV) of biomass is important for the design and operation of biomass based energy conversion processes. Experimental determination of this property is always time consuming and expensive. This paper compares existing empirical correlations based on proximate and ultimate analysis of biomass for the determination of the HHV. The correlations were validated from experimental data for twelve biomass that are typical to Nigeria. The correlation based on proximate analysis with the least error is HHV=(354FC+170.8VM)/1000 having a mean absolute error of prediction in the range 0.

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Abdi Khalife, Mehrzad, Anna Dunay, and Csaba Bálint Illés. "Bibliometric Analysis of Articles on Project Management Research." Periodica Polytechnica Social and Management Sciences 29, no. 1 (2020): 70–83. http://dx.doi.org/10.3311/ppso.15717.

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Project management, as a subsidiary of social science, is a vast and varied topic of the area of knowledge. In the past decades, many studies have compiled an immense amount of information for theoreticians and practitioners in this field. In this paper, traditional and novel methods of bibliometric analysis are introduced through a survey for analyzing the history of research in project management. This study focuses on the last four decades of publications on project management, from 1980 to 2019. In the survey, the number of publications, the countries of publication, the cooperating relati

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Liu, Hanwen, Huaizhen Kou, Chao Yan, and Lianyong Qi. "Keywords-Driven and Popularity-Aware Paper Recommendation Based on Undirected Paper Citation Graph." Complexity 2020 (April 24, 2020): 1–15. http://dx.doi.org/10.1155/2020/2085638.

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Nowadays, scholar recommender systems often recommend academic papers based on users’ personalized retrieval demands. Typically, a recommender system analyzes the keywords typed by a user and then returns his or her preferred papers, in an efficient and economic manner. In practice, one paper often contains partial keywords that a user is interested in. Therefore, the recommender system needs to return the user a set of papers that collectively covers all the queried keywords. However, existing recommender systems only use the exact keyword matching technique for recommendation decisions, whil

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Li, Anmengdie, Jinglei Zhang, and Kaili Wang. "Study on the Correlation between Drivers' Anger Language and Driving Anger." Frontiers in Computing and Intelligent Systems 2, no. 1 (2022): 61–66. http://dx.doi.org/10.54097/fcis.v2i1.2968.

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In order to study the correlation between drivers' language and anger emotion, a questionnaire survey was conducted to collect drivers' language habits and select the anger keywords that drivers use more frequently. Then, the anger keywords were scored quantitatively from three aspects of anger degree, occurrence frequency and impact on driving safety, and the critical ratio, correlation, reliability and validity of the questionnaire were tested. The results show that the weight of "death" and "stupid" is higher than 0.1, and the weight of "God" and "drive" is less than 0.1, and the weight of

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Derdar, Mawaheb M., Asia A. Almeshergi, Najia E. Elgandouri, and Mohamed M. Amer. "New Correlation for Second Virial Coefficients by Using Refractive Index." International Science and Technology Journal 35, no. 1 (2024): 1–14. http://dx.doi.org/10.62341/mana1035.

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The development of a virial equation of state requires understanding numerous interaction virial coefficients. Given the relationship between these coefficients and the intermolecular potential, the corresponding states principle (CSP) can also be applied to extend its use to virial coefficients. In this study, the second virial coefficient has been developed using molar refraction. Molar refraction (R) is directly related to a substance's polarizability, which influences how molecules interact with each other. The more polarizable a molecule is, the stronger the attractive forces between them

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Michael, Chandra, and Adlia Syakurah Rizma. "Potential use of personal protection online search during COVID-19 pandemic for predicting and monitoring public response." International Journal of Public Health Science (IJPHS) 9, no. 4 (2020): 406~413. https://doi.org/10.11591/ijphs.v9i4.20547.

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COVID-19 has become a global public health emergency in almost all over the world, including in Indonesia. Effective risk communication becomes an emergency response to increase awareness and determine appropriate interventions. The study aimed to assess the success of risk communication monitoring using Google Trends during the COVID-19 pandemic in Indonesia. Quantitative and qualitative research uses time-series data (31 December 2019-2 May 2020). The relative search volume (RSV) of keyword &bdquo;masker" (mask) and &bdquo;cuci tangan" (handwashing) from Google Trends (GT) and the number of

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Cho, Han-A., and Jung-Eun Lee. "Social awareness of oral health education by period of National Health Promotion Comprehensive Plan through unstructured big data." Korean Association For Learner-Centered Curriculum And Instruction 23, no. 24 (2023): 173–85. http://dx.doi.org/10.22251/jlcci.2023.23.24.173.

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Objectives The purpose of this study was to suggest directions for the future oral health promotion through oral health education. We analyze changes in social awareness of oral health education according to the period from the 1st to the 4th National Health Promotion Comprehensive Plan. Methods The data for this study was collected through texts posted on Naver, Daum, Google, YouTube, and Twitter through a keyword search of ‘oral + education’. The period for collecting data was from January 1, 2002, when the 1st National Health Promotion Plan began, to December 31, 2020, when the 4th pl

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Kwon, Han-Jo, and Kyu-Tae Lee. "Analysis of the Hotel Service Robot Market Trend Using Text Mining." Korea International Trade Research Institute 20, no. 1 (2024): 303–17. http://dx.doi.org/10.16980/jitc.20.1.202402.303.

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Purpose – In order to identify the market trend of hotel service robots, this study aims to conduct a big data analysis using text mining by dividing it into pre-COVID-19, COVID-19, and post-COVID-19 periods. In other words, we will identify the issues in the hotel service robot market trend and make meaningful suggestions through network analysis and the centrality results of key texts, key correlations by period, and a comparison of co-occurring keywords. Design/Methodology/Approach – Frequency analysis and sentiment analysis were performed using texts from the major portal sites Daum, Naver

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Afriani Siagian, Beslina, and Dwi Widayati. "The Correlation of Angkola, Mandailing, and Nias Languages." International Journal of Research and Review 9, no. 6 (2022): 262–68. http://dx.doi.org/10.52403/ijrr.20220628.

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Historically and geographically, there is a correlation between the Nias ethnic and the Mandailing ethnic. On the other hand, the Angkola and Mandailing ethnic have been clearly correlated from a long time ago. That is the basic of this research, to measure the level of correlation of the Angkola, the Mandailing, and the Nias language. The data in this study were analyzed by referring to Crowley's formula, such as calculating the correlation vocabulary, calculating the percentage of correlation, and calculating the separation time. Based on this reference, the following results were obtained:

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Siddiqui, Hina, Sadia Rizwan, Syed Shah Faisal, and Syed Sheeraz Hussain. "Correlation Between Pharyngeal Airway Space and Sagittal Skeletal Malocclusions." Journal of the Pakistan Dental Association 29, no. 04 (2020): 217–22. http://dx.doi.org/10.25301/jpda.294.217.

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OBJECTIVE: To determine correlation between pharyngeal airway space and sagittal skeletal malocclusions. METHODOLOGY: Data was collected using pre-treatment records including pre-treatment lateral cephalograms of 54 orthodontic patients. Patients from both gender were included. The age group of selected patients was 15-25 years, Patients belonging to Pakistani ethnicity were included to avoid selection bias. Sagittal skeletal malocclusion was measured by ANB angle to group the skeletal Class I, II and III subjects (ANB=0-4°, ANB > 4° and ANB <0 respectively). Upper pharyngeal space and L

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GURCAY, Gultekin. "EXPLORING THE CORRELATION BETWEEN AGE AND PRODUCTIVITY: A COMPREHENSIVE ANALYSIS." Academy International Journal of Humanity and Social Sciences 2 (December 15, 2024): 85–92. https://doi.org/10.5281/zenodo.14481769.

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This paper examines the complex relationship between age and productivity in the workforce. As populations age globally, understanding how age affects productivity is critical for organizational management and policy development. This analysis combines quantitative data and qualitative insights from various sectors and highlights the necessity to adopt age-inclusive practices to optimize productivity and retain talent across all age groups.   <strong>Keywords:</strong> Age, productivity, management, organization.

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Christanti, Aprilia Ratna, and Yulianto Tejo P. "Correlation Between Ability on Playing Tetris and GPA." SISFORMA 1, no. 1 (2014): 9. http://dx.doi.org/10.24167/sisforma.v1i1.87.

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The goal of this study is to determine the correlation between ability on playing Tetris and GPA of Soegijapranata Catholic University, Department of Information System students against the dexterity in playing Tetris. The research has been done using experiment method on ten Information System students who have various grade points. They played Tetris, 30 minutes each, for three consecutive days. The results showed that: First, eight out of the ten students improved their agility. It can be seen from the increasing scores and levels; Second, the coefficient correlation between student grade p

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Barkovska, Olesia, Dmytro Mohylevskyi, Yuliia Ivanenko, and Dmytro Rosinskiy. "WAYS TO DETERMINE THE RANGE OF KEYWORDS IN A FREQUENCY DICTIONARY FOR TEXT CLASSIFICATION." Computer systems and information technologies, no. 1 (March 30, 2023): 14–20. http://dx.doi.org/10.31891/csit-2023-1-2.

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The paper is devoted to the actual problem of classifying textual documents of the collection by characteristic features, which is used for classifying news, reviews, determining the emotional tone of the text, as well as for forming catalogs of scientific, academic and research works. The paper proposes an approach for determining the significant words of a document for their further use as a feature vector in the classification process. In the course of the work, the author's keywords were identified, a partial dictionary was built, and the correlation between the author's keywords and the l

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Wu, Li Ming, Yao Fei Li, Fu Jian Li, and Xin Luo. "Speech Enhancement Based on Bionic Wavelet Transform and Correlation Denoising." Advanced Materials Research 912-914 (April 2014): 1386–90. http://dx.doi.org/10.4028/www.scientific.net/amr.912-914.1386.

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A new speech enhancement method based on bionic wavelet transform is presented here. Voice signals with noise would be bionic wavelet coefficients by bionic wavelet transform, then, the purpose of speech enhancement can be achieved by means of the bionic wavelet coefficients based on the improved correlation function processing. The simulation results show that the method under the condition of various noises is good speech enhancement effect. Keywords: Speech enhancement; BWT; Correlation de-noising

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Kamrani, Farhan, Asbah Zia, and Saba Mumtaz. "PSYCHOLOGICAL WELLBEING AND JOB SATISFACTION IN MIDDLE-AGED ADULTS." Pakistan Journal of Social Research 05, no. 01 (2023): 521–25. http://dx.doi.org/10.52567/pjsr.v5i01.1372.

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This study was an attempt to investigate the predictive relationship between psychological wellbeing, its 6 dimensions and job satisfaction in a purposive sample of 250 (125 male, 125 female) adults of ages between 35-45 years. The sample belonged to a number of professions (like doctors, teachers, bankers etc.). Psychological wellbeing scale (Ryff et al., 1995) and generic job satisfaction scale (Mcdonald et al., 1997) were administered on the sample. Pearson product moment correlation scores indicate that correlation between job satisfaction and psychological wellbeing was not significant. A

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Han, Y. H., S. L. Lau, M. Kayhanian, and M. K. Stenstrom. "Correlation analysis among highway stormwater pollutants and characteristics." Water Science and Technology 53, no. 2 (2006): 235–43. http://dx.doi.org/10.2166/wst.2006.057.

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Stormwater runoff from highway land use is a common non-point source of pollutants. A large quantity of highway stormwater runoff characteristics were collected in California during the past three years. Correlations among various water quality parameters and constituents were performed using data sets collected over the 2000–2001, 2001–2002, and 2002–2003 wet seasons for 18, 21 and 23 storm events at three highway sites in west Los Angeles, California. In addition, statistical and graphical correlation analysis of the mass first flush ratio (MFF) with storm characteristics was made to determi

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Soharwardi, Mariam Abbas, Mehtab Begum Siddiqui, and Mumtaz Ahmad. "THE CORRELATION BETWEEN WOMEN ENTREPRENEURSHIP AND GENDER UNIFORMITY." Pakistan Journal of Social Research 03, no. 02 (2021): 66–72. http://dx.doi.org/10.52567/pjsr.v3i02.204.

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This study explores that how the economy depends upon different factors, including quality, gender direction association and the possibility of business. Gender reasonableness and women's undertaking are key factors for monetary unforeseen development. To take a gender at the association between gender consistency and women's undertaking rates, this paper examines how gender direction express financial activities and women's ambitious soul relate. The study depicts the association between the Gender headway rates familiarized by the UN and the dissimilar periods of female business (made by the

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