Relevant bibliographies by topics / Keyword Test 1

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers
  5. Reports

Academic literature on the topic 'Keyword Test 1'

Author: Grafiati
Published: 4 June 2021
Last updated: 11 February 2022

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Journal articles on the topic "Keyword Test 1"

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Saito, Hidetoshi. "Effects of Preparation and Use of Keyword Lists on a Classroom Story-Retelling Test." JALT Journal 39, no. 1 (2017): 5. http://dx.doi.org/10.37546/jaltjj39.1-1.

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The purpose of this quasi-experimental study was to explore the effects of test practice and keyword use on story-retelling test performance under four conditions. Eighty-two beginning and intermediate Japanese university students enrolled in English courses were required to practice orally summarizing two passages using a keyword list and also instructed to orally summarize one of two previously unseen passages without preparation. In the test session, two groups experienced two conditions that were identical and one that was different. Both groups retold one practiced passage with keywords a
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Susana, Intan. "ENHANCING FOR VOCABULARY MASTERY THROUGH MNEMONICS KEYWORD METHOD TO THE UNIVERSITY STUDENTS." ENGLISH EDUCATION: JOURNAL OF ENGLISH TEACHING AND RESEARCH 2, no. 1 (2017): 8. http://dx.doi.org/10.29407/jetar.v2i1.725.

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This research is focused on mnemonic keyword method to enhance vocabulary mastery to the university students. Mnemonic refers to instructional or learning strategies designed specifically to enhance memory. One of the most powerful mnemonic strategies is the key word method. The keyword method is a useful mnemonic aid which can help broaden students’ vocabulary by means of speech and ultimately with reading and writing. Then keyword method effective way to provide a meaningful visual image upon which to base memory for a new word's meaning. This research involves twenty students at the first g
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Feinberg, Richard A., and Amanda L. Clauser. "Can Item Keyword Feedback Help Remediate Knowledge Gaps?" Journal of Graduate Medical Education 8, no. 4 (2016): 541–45. http://dx.doi.org/10.4300/jgme-d-15-00463.1.

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ABSTRACT Background In graduate medical education, assessment results can effectively guide professional development when both assessment and feedback support a formative model. When individuals cannot directly access the test questions and responses, a way of using assessment results formatively is to provide item keyword feedback. Objective The purpose of the following study was to investigate whether exposure to item keyword feedback aids in learner remediation. Methods Participants included 319 trainees who completed a medical subspecialty in-training examination (ITE) in 2012 as first-yea
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Beaton, Alan, Michael Gruneberg, and Nick Ellis. "Retention of foreign vocabulary learned using the keyword method: a ten-year follow-up." Second Language Research 11, no. 2 (1995): 112–20. http://dx.doi.org/10.1177/026765839501100203.

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This article assesses one individual's level of recall for foreign vocabulary learned ten years previously using the keyword method. Without any revision at all, he remembered 35% of the test words with spelling fully correct and over 50% with only very minor errors of spelling. After 10 minutes spent looking at a vocabulary list, recall increased to 65% and 76% respectively. After a period of revision lasting a further 1½ hours, recall was virtually 100%. This level of recall was maintained for at least one month. The results indicate 1) that the keyword method (as incorporated in Linkword co
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Campos, Alfredo, Ángeles Amor, and María Ángeles González. "Presentation of Keywords by Means of Interactive Drawings." Spanish Journal of Psychology 5, no. 2 (2002): 102–9. http://dx.doi.org/10.1017/s1138741600005874.

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One of the main outstanding problems in keyword mnemotechnics is whether this technique is more effective when the subjects generate their own keywords, or when the keywords are supplied by the experimenter. Both methods have advantages and disadvantages. An alternative method has recently been suggested, in which the keywords are generated by the subjects' peers. In the present study we aimed to investigate whether immediate or delayed recall are affected by keyword generation method (experimenter or peer generation). We also aimed to determine whether the method of keyword generation affects
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Islam, Muhammad Ainul Yaqin Fiddinil, Sunardi Sunardi, Reza Ambarwati, and Siti Alfiah. "Representasi Matematis Siswa Bina Prestasi MTsN 1 Jember dalam Menyelesaikan Masalah Segiempat Ditinjau dari Level van Hiele." Journal of Mathematics Education and Learning 1, no. 1 (2021): 27. http://dx.doi.org/10.19184/jomeal.v1i1.24373.

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This study aims to determine mathematical representation of Students’ Ability in Solving Quadrilateral Problems Based on Van Hiele’s Levels at an Enrichment Program in MTsN 1 Jember.. This research is a descriptive qualitative research. The subjects of this study were 17 students of class IXA at ​​MTsN 1 Jember. The data collection method on this research are using test and interview methods. The test instrument on this research were a test of ability to think geometry and a test of mathematical representation on rectangular material. The results of data analysis were carried out by comparing
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Masniari, Masniari, and Syamwil Syamwil. "Perbandingan Hasil Belajar Ekonomi Menggunakan Model Pembelajaran Kooperatif Tipe Student Teams Achievement Division (STAD) dengan Pembelajaran Konvensional Siswa Kelas X SMA Negeri 1 Pariaman." Jurnal Ecogen 2, no. 4 (2019): 634. http://dx.doi.org/10.24036/jmpe.v2i4.7841.

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This article to inform: difference learning outcomes using cooperative learning model type Student Teams Achievement Divisions with conventional at class XI SMA Negeri 1 Pariaman. The research used quasi ekseperimental design, technique is purpossive sampling, the instrument trials, gain score,validity, reliability, different test problem, and difficulty levels. Data collection by documentation and test result of learning outcome. The population in this study is XI SMA Negeri 1 Pariaman and sample is XI IPS 1 for class eksperiment and XI IPS 2 for class control. The analytical method used pair
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Rambe, Jennnita, Abubakar Abubakar, and Wiwik Novitasari. "PENERAPAN MODEL PROBLEM BASED LEARNING MENGGUNAKAN LEMBAR KERJA SISWA UNTUK MENINGKATKAN KEMAMPUAN PEMECAHAN MASALAH BELAJAR KIMIA SISWA KELAS X DI SMA NEGERI 1 ANGKOLA BARAT." EKSAKTA : Jurnal Penelitian dan Pembelajaran MIPA 4, no. 1 (2019): 26. http://dx.doi.org/10.31604/eksakta.v4i1.26-34.

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The research is the research action class. The model used is a model of problem based learning. As for the data collection technique used is the test, observation, interview and question form and data gathering tool used is the test sheet, sheets of observation, the now closed and the format of the interview. The data will be analyzed with descriptive analysis method i.e., first make a list of the frequency of the first. Based on the data analysis done is obtained that the application of the model of problem based learning using worksheets students committed researchers is to improve student l
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ASRI, ASTI. "PENGARUH KEPERCAYAAN DIRI TERHADAP PERILAKU KONSUMTIF PADA SISWA KELAS XI SMA NEGERI 1 BABELAN." JPPP - Jurnal Penelitian dan Pengukuran Psikologi 1, no. 1 (2017): 197. http://dx.doi.org/10.21009/jppp.011.26.

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Abstract This research is to know influence of self-confidence to consumptive behavior of 11th Students Senior High School 1 Babelan. The method used in this research is quantitative research methods using ex post facto design. The sampling technique in this study is a probability sampling with kind of purposive sampling. The amount of the samples is 82 respondents. The technique of the analysis data used to test the hypothesis is by simple regression test using SPSS version 16.00. Based on the counting result, mark F is 7.443 with mark of significance of 0.008. The regression similarity of Y
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Wahyu, Haifa, Betrianita Betrianita, Melati Tridita Pramesti, and Padila Padila. "Pengaruh Metode Glenn Doman (Tahap 1 dan 2) terhadap Perkembangan Komunikasi Anak Autisme di Autis Center Bengkulu." Jurnal Keperawatan Silampari 2, no. 1 (2018): 169–83. http://dx.doi.org/10.31539/jks.v2i1.306.

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This study aims to determine the effectiveness of Glenn Doman method stages 1 and 2 on the development of autistic children’s thinking in autis center Bengkulu.The research design was quasi experiment using two group before after or pre test and post test design group. The result showed that in univariate analysis, it was found that the majority male with speech ability in control group and treatment group is quite capable before being treaten through Glenn Doman theraphy stage 1 and 2. Then the development of the majority treatment group is increasing to capable. In bivariate analysis, it was
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Dissertations / Theses on the topic "Keyword Test 1"

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Misirlisoy, Mine. "Effects Of Associative Processes On False Memory: Evidence From Converging Associates And Category Associates Procedures." Master's thesis, METU, 2004. http://etd.lib.metu.edu.tr/upload/12605129/index.pdf.

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The present study investigated the differential effects of test-induced priming on false memories evoked by Converging Associates Procedure (DRM lists) and Category Associates Procedures (Category lists). The experimental settings involved the manipulation of test order of the critical items, in relation to the list items from their corresponding lists. The significance of the study comes from the fact that it directly compares the false memories elicited by Converging Associates Procedure and Category Associates Procedures within the same experimental settings. The results demonstrated that a
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Muradas, Priscilla Ricabone. "Viabilidade e teste de criopreservação de espermatozoides colhidos da cauda do epidídimo de equinos /." oai:ufpr.br:235107, 2007. http://200.17.209.5:8000/cgi-bin/gw_42_13/chameleon.42.13a?host=localhost%201111%20DEFAULT&sessionid=VTLS&function=CARDSCR&search=KEYWORD&pos=1&u1=12101&t1=235107.

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Orientador: Romildo R. Weiss<br>Co-orientadores : Ivan Deconto e Luiz Ernandes Kozicki<br>Dissertação (mestrado) - Universidade Federal do Paraná, Setor de Ciências Agrárias, Programa de Pós-Graduação em Ciencias Veterinárias. Defesa: Curitiba, 2007<br>Inclui bibliografia
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Madge, Nick. "TEST: In-Progress Header RIS Submission Test by NM." 2019. http://hdl.handle.net/10454/16926.

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Marek, Bořivoj. "Překlad a výklad páté knihy (1.-15. kap.) Orosiových Historiarum adversum paganos libri VII." Master's thesis, 2011. http://www.nusl.cz/ntk/nusl-312493.

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This paper consists of the translation and analysis of Chapters 1-15 of Book V of Historiarum adversus paganos libri VIII by Paulus Orosius. The analysis is based on a comprehensive commentary on linguistic and stylistic aspects of the texts examined, and on a thorough factual commentary. The linguistic commentary concentrates on the composition of the Fifth Book, on the construction of discourse by the means of particles and other discourse markers, as well as on the linguistic features and peculiarities distinctive for the author, his age and the genre of historiography (such as specifically
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Book chapters on the topic "Keyword Test 1"

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Qiu, Juntao. "Searching by Keyword." In Test-Driven Development with React. Apress, 2021. http://dx.doi.org/10.1007/978-1-4842-6972-5_7.

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Frigui, Hichem, and Olfa Nasraoui. "Simultaneous Clustering and Dynamic Keyword Weighting for Text Documents." In Survey of Text Mining. Springer New York, 2004. http://dx.doi.org/10.1007/978-1-4757-4305-0_3.

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Goz, Furkan, and Alev Mutlu. "Automatic Keyword Extraction From Text Documents." In Digital Technology Advancements in Knowledge Management. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-6792-0.ch004.

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Keyword indexing is the problem of assigning keywords to text documents. It is an important task as keywords play crucial roles in several information retrieval tasks. The problem is also challenging as the number of text documents is increasing, and such documents come in different forms (i.e., scientific papers, online news articles, and microblog posts). This chapter provides an overview of keyword indexing and elaborates on keyword extraction techniques. The authors provide the general motivations behind the supervised and the unsupervised keyword extraction and enumerate several pioneering and state-of-the-art techniques. Feature engineering, evaluation metrics, and benchmark datasets used to evaluate the performance of keyword extraction systems are also discussed.
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"System Analysis and Design for Document Classification." In Advances in Data Mining and Database Management. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-3772-5.ch008.

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The text-mining process starts with a keyword search in text collections. Current text processing technology allows a search technique beyond simple Boolean searches by using natural language queries. Since search engines can recognize any of thousands of keywords and phrases but not the concepts behind the text, it is necessary for researchers to construct an automatic keyword extractor to generate the “Keyword List” for each document. Later, this list can act as the knowledge base to associate unorganized documents to meaningful classes. Failures in identifying the keywords for a certain concept will result in missing values or data for that specific concept.
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Meng, Xiangfu, Lulu Zhao, Xiaoyan Zhang, Pan Li, Zeqi Zhao, and Yue Mao. "An Interactive Personalized Spatial Keyword Querying Approach." In Advances in Data Mining and Database Management. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-8446-9.ch010.

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Existing spatial keyword query methods usually evaluate text relevancy according to the frequency of occurrence of query keywords in the text information associated to spatial objects, without considering the degree of preference of users to different query keywords, and without considering semantic relevancy. To deal with the above problems, this chapter proposes an interactive personalized spatial keyword querying approach which is divided into two stages. In the offline processing stage, Gibbs algorithm is adopted to estimate the thematic probability distribution of text information associated to spatial objects, and then an LDA model is used for semantic expansion of spatial data set.
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Choi, Youngseok, Jungsuk Oh, and Jinsoo Park. "A Novel Approach to Managing the Dynamic Nature of Semantic Relatedness." In Natural Language Processing. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-0951-7.ch052.

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This research proposes a novel method of measuring the dynamics of semantic relatedness. Research on semantic relatedness has a long history in the fields of computational linguistics, psychology, computer science, as well as information systems. Computing semantic relatedness has played a critical role in various situations, such as data integration and keyword recommendation. Many researchers have tried to propose more sophisticated techniques to measure semantic relatedness. However, little research has considered the change of semantic relatedness with the flow of time and occurrence of events. The authors' proposed method is validated by actual corpus data collected from a particular context over a specific period of time. They test the feasibility of our proposed method by constructing semantic networks by using the corpus collected during a different period of time. The experiment results show that our method can detect and manage the changes in semantic relatedness between concepts. Based on the results, the authors discuss the need for a dynamic semantic relatedness paradigm.
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Beliga, Slobodan, Ana Meštrović, and Sanda Martinčić-Ipšić. "Keyword Extraction Based on Selectivity and Generalized Selectivity." In Innovations, Developments, and Applications of Semantic Web and Information Systems. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-5042-6.ch007.

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This chapter presents a novel Selectivity-Based Keyword Extraction (SBKE) method, which extracts keywords from the source text represented as a network. The node selectivity value is calculated from a weighted network as the average weight distributed on the links of a single node and is used in the procedure of keyword candidate ranking and extraction. The selectivity slightly outperforms an extraction based on the standard centrality measures. Therefore, the selectivity and its modification – generalized selectivity as the node centrality measures are included in the SBKE method. Selectivity-based extraction does not require linguistic knowledge as it is derived purely from statistical and structural information of the network and it can be easily ported to new languages and used in a multilingual scenario. The true potential of the proposed SBKE method is in its generality, portability and low computation costs, which positions it as a strong candidate for preparing collections which lack human annotations for keyword extraction.
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Bhatia, Tarandeep Kaur. "Agile-Model-Based Sentiment Analysis From Social Media." In Big Data Management and the Internet of Things for Improved Health Systems. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-5222-2.ch002.

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To study state-of-the art associated to Twitter mining replica as well as prognostic analytic by means of Agile Software Engineering. To recognize sentiment analysis by means of agile knowledge. To obtain as well as analysis given repository for classifying sentiments into positive, negative and neutral emotions. Analysing of all the tweets obtained from the twitter keywords as positive, negative or neutral opinions and comparing all the keywords to judge which keyword is better, there is a requirement to improve from the conventional ways of sentiment analysis. This paper emphasizes on the implementation of an algorithm for automatic classification of text into positive, negative or neutral by fetching the live tweets from twitter server by using twitter API. Graphical representation of the sentiment for the purpose of comparison in the form of pie chart and bar graph. Scan the twitter and fetching the Live Tweets from Twitter server using Twitter4J Advance Java Interface and implementing the Stanford NLP Library (Natural Language Parsing) using Advance Java for classifying the tweets into positive, negative and neutral tweets.
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Xu, Ming, Hong-Rong Yang, and Ning Zheng. "A Re-Ranking Method of Search Results Based on Keyword and User Interest." In Dynamic and Advanced Data Mining for Progressing Technological Development. IGI Global, 2010. http://dx.doi.org/10.4018/978-1-60566-908-3.ch006.

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It is a pivotal task for a forensic investigator to search a hard disk to find interesting evidences. Currently, most search tools in digital forensic field, which utilize text string match and index technology, produce high recall (100%) and low precision. Therefore, the investigators often waste vast time on huge irrelevant search hits. In this chapter, an improved method for ranking of search results was proposed to reduce human efforts on locating interesting hits. The K-UIH (the keyword and user interest hierarchies) was constructed by both investigator-defined keywords and user interest learnt from electronic evidence adaptive, and then the K-UIH was used to re-rank the search results. The experimental results indicated that the proposed method is feasible and valuable in digital forensic search process.
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Xu, Feng, and Yu-Jin Zhang. "Probability Association Approach in Automatic Image Annotation." In Handbook of Research on Public Information Technology. IGI Global, 2008. http://dx.doi.org/10.4018/978-1-59904-857-4.ch056.

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Content-based image retrieval (CBIR) has wide applications in public life. Either from a static image database or from the Web, one can search for a specific image, generally browse to make an interactive choice, and search for a picture to go with a broad story or to illustrate a document. Although CBIR has been well studied, it is still a challenging problem to search for images from a large image database because of the well-acknowledged semantic gap between low-level features and high-level semantic concepts. An alternative solution is to use keyword-based approaches, which usually associate images with keywords by either manually labeling or automatically extracting surrounding text from Web pages. Although such a solution is widely adopted by most existing commercial image search engines, it is not perfect. First, manual annotation, though precise, is expensive and difficult to extend to large-scale databases. Second, automatically extracted surrounding text might by incomplete and ambiguous in describing images, and even more, surrounding text may not be available in some applications. To overcome these problems, automated image annotation is considered as a promising approach in understanding and describing the content of images.
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Conference papers on the topic "Keyword Test 1"

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Zaini, Muhamad Fadzllah, Anida Saruddin, and Mazura Mastura Muhammad. "A Study of Malay Manuscripts (Petua Membina Rumah): Geometric Pattern Lexical Density." In GLOCAL Conference on Asian Linguistic Anthropology 2020. The GLOCAL Unit, SOAS University of London, 2020. http://dx.doi.org/10.47298/cala2020.11-1.

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This study examines the lexical density of classical Malay texts. This study is divided into three main parts, namely, (1) the form of the keyword list in a classic text compared to a current text, (2) 10 keywords that appear as a result of the Simple Math Procedure (SMP) test, and (3) geometrical patterns that are produced to examine the lexical representations of classical texts according to their SMP values. This study uses the SMP as is pre-defined in the LancsBox 4.5 software. This study was conducted on seven classical texts that have been developed in the Korpus Petua Membina Rumah (KPM
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Kusumaningtyas, Mei, and Herdianty Kusuma Handari. "Assessment of Low Back and Hamstring Muscle Flexibility Among Students of Physiotherapy Department at Health Polytechnics Surakarta." In The 7th International Conference on Public Health 2020. Masters Program in Public Health, Universitas Sebelas Maret, 2020. http://dx.doi.org/10.26911/the7thicph.05.13.

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ABSTRACT Background: Lack of physical activity, coupled with long sitting positions in students, can cause muscle shortening, resulting in decreased flexibility that will interfere with daily activities. In these conditions, there is no data on flexibility due to reduced physical activity in students, so this study aims to identify the level of flexibility among students of the Surakarta Health Polytechnic Physiotherapy. Subjects and Method: This was a quantitative descriptive study carried out students majoring in physiotherapy at School of Health Polytechnic, Surakarta from august to Septemb
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Ria, Matilda Bupu, Clara Yunita Ina Ola, and Damita Palalangan. "Difference in Effectiveness of Warm Ginger Water Compress and Sour Turmeric on Reducing Primary Menstrual Pain in Midwifery Students at Maranatha School Kupang, East Nusa Tenggara." In The 7th International Conference on Public Health 2020. Masters Program in Public Health, Universitas Sebelas Maret, 2020. http://dx.doi.org/10.26911/the7thicph.03.35.

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ABSTRACT Background: Dysmenorrhea is pain during menstruation felt by adolescent women, usually felt with cramps and concentrated in the lower abdomen. Complaints of menstrual pain can vary, ranging from mild to severe. This study aimed to prove the difference between the effectiveness of warm ginger water compress and the consumption of sour turmeric on reducing primary menstrual pain in students of Study Program of Diploma-III in Midwifery, Institute of Health Science Maranatha, Kupang, East Nusa Tenggara. Subjects and Method: This was a quasi-experiment conducted at Maranatha school, Kupang
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Morris, Elissa, and Daniel A. McAdams. "Bioinspired Origami: Case Studies Using a Keyword Search Algorithm." In ASME 2020 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/detc2020-22228.

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Abstract Numerous folding patterns, structures, and behaviors exist in nature that may provide design solutions to engineering problems. While applying biological solutions to engineering design is evidently valuable, the retrieval of useful design inspiration remains a primary challenge preventing the transfer of knowledge from biology to the engineering domain. In prior research, information retrieval techniques are employed to retrieve useful biological design solutions and a text-based search algorithm is developed to return passages where folding in nature is observed. The search algorith
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Purnamasari, Agus. "Comparison of Nutrition Status of Children with Aged 1-2 Years in Coastal and Urban Areas." In The 7th International Conference on Public Health 2020. Masters Program in Public Health, Universitas Sebelas Maret, 2020. http://dx.doi.org/10.26911/the7thicph.03.58.

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ABSTRACT Background: Stunting, a chronic malnutrition of children, remains a global health concern. In Indonesia, around 37% (almost 9 million) of children under five are stunted. The difference in the prevalence of stunting in coastal and urban areas needs attention for the comprehensive handling of stunting. This study aimed to analyze the comparison of nutritional status in coastal and urban areas for toddlers aged 1-2 years. Subjects and Method: This was a cross-sectional study conducted at coastal and urban areas, Tarakan, North Kalimantan from October to November 2016. A total of 94 todd
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Juškaite, Loreta. "DATA MINING IN EDUCATION: ONLINE TESTING IN LATVIAN SCHOOLS." In 3rd International Baltic Symposium on Science and Technology Education (BalticSTE2019). Scientia Socialis Ltd., 2019. http://dx.doi.org/10.33225/balticste/2019.86.

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The new research results on the online- testing method in the Latvian education system for a learning process assessment are presented. Data mining is a very important field in education because it helps to analyse the data gathered in various researches and to implement the changes in the education system according to the learning methods of students. The aim of the research was to analyze how much time students devote to each task depending on the task type and the cognitive activity level in the online national test. Research methods: 1) analysis of scientific literature; 2) descriptive sta
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Sani, Mario Febrianus Helan, and Nanda Agustian Simatupang. "Difference of Knowledge Toward Hiv/Aids in Adolescents in Sleman, Yogyakarta." In The 7th International Conference on Public Health 2020. Masters Program in Public Health, Universitas Sebelas Maret, 2020. http://dx.doi.org/10.26911/the6thicph.02.49.

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Background: In many countries throughout the world, sexually transmitted disease such as HIV/ AIDS also occurred in adolescents. A study by National Behavioral Surveillance Survey stated that the level of awareness and knowledge among young people about HIV/ AIDS was low. This study was aimed to explore the difference of knowledge toward HIV/AIDS in adolescents in Sleman, Yogyakarta. Subjects and Method: A descriptive study was carried out at Public Senior High School 1 and Muhammadiyah Senior High School 1, Sleman, Yogyakarta, in April 2019. A sample of 65 students was selected randomly. The
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Nurrochmawati, Ike, Ambar Dwi Retnoningrum, and Remita Yuli Kusumaningrum. "Effect of Health Education with Flip Chart and Video on Knowledge about Early Detection of Cervical Cancer in Women of Reproductive Age in Nganjuk District, East Java." In The 7th International Conference on Public Health 2020. Masters Program in Public Health, Universitas Sebelas Maret, 2020. http://dx.doi.org/10.26911/the7thicph.02.36.

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Background: Cervical cancer is the fourth most prevalent cancer in women. Pap smear and visual inspection acetic acid (VIA) are essential screening tests to early detect cervical cancer. However, the use of screening tests remained low among women of reproductive age in Nganjuk district, East Java. This study aimed to determine the effectiveness of health education using flip chart and video on knowledge about early detection of cervical cancer among women of reproductive age in Nganjuk district, East Java. Subjects and Method: A randomized control trial conducted in Rejoso, Nganjuk, East Java
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Yustinawati, Ratna, and Anhari Achadi. "Risk Factors for Mortality in Patients with Covid-19: A Systematic Review." In The 7th International Conference on Public Health 2020. Masters Program in Public Health, Universitas Sebelas Maret, 2020. http://dx.doi.org/10.26911/the7thicph.01.26.

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ABSTRACT Background: SARS-CoV-2, a new strain of the coronavirus, caused a global outbreak of fatal acute pneumonia. Globally, WHO has recorded 709,511 deaths from COVID-19, and the number is increasing. This study aimed to determine the risk factors for mortality in COVID-19 patients. Subjects and Method: A systematic review was conducted by searching for articles from ScienceDirect, PubMed, SpringerLink, Scopus, and Google Scholar databases. The inclusion criteria were open access, English-language, and full-text articles published in journals between 20019 and 2020. The keywords were (Coron
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Sutanto, Yusup Subagio, Levana Kasumadewi, Ana Rima Setijadi, and Hendra Kurniawan. "Effect of Thymoquinone on Interleukin-8, FEV1, and COPD Assessment Test Score in Stable Chronic Obstructive Lung Disease." In The 7th International Conference on Public Health 2020. Masters Program in Public Health, Universitas Sebelas Maret, 2020. http://dx.doi.org/10.26911/the7thicph.05.34.

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ABSTRACT Background: Chronic obstructive pulmonary disease (COPD), a persistent airway obstruction, is caused by continuous exposure to harmful particles or irritants. Airway inflammation contributes the pathogenesis of COPD. Thymoquinone, has an anti-inflammatory effect. This study aimed to examine the effect of thymoquinone on interleukin-8 (IL-8) level, percentage of FEV1, and COPD assessment test score (CAT) in stable chronic obstructive lung disease. Subjects and Method: A quasi-experiment with pretest and posttest control group was conducted at the outpatient pulmonology unit, Dr. Moewar
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Reports on the topic "Keyword Test 1"

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Paynter, Robin A., Celia Fiordalisi, Elizabeth Stoeger, et al. A Prospective Comparison of Evidence Synthesis Search Strategies Developed With and Without Text-Mining Tools. Agency for Healthcare Research and Quality (AHRQ), 2021. http://dx.doi.org/10.23970/ahrqepcmethodsprospectivecomparison.

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Background: In an era of explosive growth in biomedical evidence, improving systematic review (SR) search processes is increasingly critical. Text-mining tools (TMTs) are a potentially powerful resource to improve and streamline search strategy development. Two types of TMTs are especially of interest to searchers: word frequency (useful for identifying most used keyword terms, e.g., PubReminer) and clustering (visualizing common themes, e.g., Carrot2). Objectives: The objectives of this study were to compare the benefits and trade-offs of searches with and without the use of TMTs for evidence
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