1,720,963 research outputs found
Aromatherapy blended lemon and lavender has an effect on nausea and vomiting in first trimester pregnant women at PMB Entin Hartini
Full text linkIntroduction: Nausea and vomiting are common complaints in the first trimester of pregnancy. One treatment to reduce nausea and vomiting is non-pharmacological therapy by providing a mixture of lemon and lavender aromatherapy. In this study, there was only one group, namely the intervention group, which received blended lemon and lavender aromatherapy. Before carrying out the intervention, pregnant women in the first trimester are given a pre-test to find out how often pregnant women feel nauseous and vomit. Then the pregnant mother is taught how to use aromatherapy blended lemon and Lavender with Roll On which will be done in the morning and evening for 6 consecutive days. -continuously. Next, another post-test was carried out to determine the effectiveness of providing aromatherapy.Objectives: The aim of this study was to determine the effectiveness of giving a mixture of lemon and lavender aromatherapy against nausea and vomiting in first trimester pregnant women at PMB (Independent Midwife Practice) Entin Hartini, A.Md. Keb Mrebet District, Purbalingga Regency.Methods: The type of research used in this research is pre-experimental with a One Group Pre-Test and Post-Test design.Results: The Wilcoxon test results were obtained by Asymp. signature. 0.00 that there is an effect of giving a mixture of lemon and lavender aromatherapy in reducing nausea and vomiting (ðœŒ- value = 0.00).Conclusions: There is effectiveness of giving a mixture of lemon and lavender aromatherapy for nausea and vomiting in first trimester pregnant women at PMB Entin Hartini, A.Md.Keb
EFEKTIVITAS AROMATERAPI BLENDED LEMON DAN LAVENDER TERHADAP MUAL DAN MUNTAH PADA IBU HAMIL TRIMESTER I DI PMB ENTIN HARTINI, A.Md.Keb KECAMATAN MREBET KABUPATEN PURBALINGGA
Full text linkMual muntah merupakan keluhan umum pada kehamilan trimester pertama. Salah satu penatalaksanaan mengurangi mual muntah yaitu terapi non-farmakologis dengan pemberian aromaterapi blended lemon dan lavender. Tujuan penelitian ini untuk mengetahui Efektivitas Aromaterapi Blended Lemon Dan Lavender Terhadap Mual Muntah Pada Ibu Hamil Trimester I Di PMB Entin Hartini, A.Md.Keb Kecamatan Mrebet Kabupaten Purbalingga. Jenis penelitian yang digunakan dalam penelitian ini adalah pre- eksperimental dengan rancangan One Group Pre-Test Post-Test Design.
Teknik pengambilan sampel dalam penelitian ini adalah menggunakan teknik total sampling dengan Jumlah sampel sebanyak 36 responden dan pengumpulan data menggunakan lembar kuesioner PUQE-24. Metode analisis menggunakan Uji Wilcoxon. Hasil uji Wilxocon diperoleh Asymp. Sig. 0,00 bahwa ada pengaruh pemberian aromaterapi blended lemon dan lavender dalam mengurangi mual muntah
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
IMPLEMENTATION OF MISSING VALUES HANDLING METHOD FOR EVALUATING THE SYSTEM/COMPONENT MAINTENANCE HISTORICAL DATA
Full text linkMissing values are problems in data evaluation. Missing values analysis can resolve the problem of incomplete data that is not stored properly. The missing data can reduce the precision of calculation, since the amount of information is incomplete. The purpose of this study is to implement missing values handling method for systems/components maintenance historical data evaluation in RSG GAS. Statistical methods, such as listwise deletion and mean substitution, and machine learning (KNNI), were used to determine the missing data that correspond to the systems/components maintenance historical data. Mean substitution and KNNI methods were chosen since those methods do not require the formation of predictive models for each item which is experiencing missing data. Implementation of missing data analysis on systems/components maintenance data using KNNI method results in the smallest RMSE value. The result shows that KNNI method is the best method to handle missing value compared with listwise deletion or mean substitution.Keywords: missing value, data evaluation, alghorithm, implementation IMPLEMENTASI METODE PENANGANAN DATA HILANG UNTUK MENGEVALUASI DATA SEJARAH PERAWATAN SISTEM/KOMPONEN. Data hilang merupakan masalah dalam melakukan evaluasi data. Analisis data hilang dapat menyelesaikan permasalahan ketidaklengkapan data yang tidak tersimpan dengan baik. Data yang hilang akan memperkecil presisi dari perhitungan, dikarenakan jumlah informasi yang tidak lengkap. Tujuan dari penelitian ini adalah implementasi metode penanganan data hilang untuk evaluasi data sejarah perawatan sistem/komponen RSG GAS. Metodologi yang digunakan untuk menentukan data hilang yang berhubungan dengan data sejarah perawatan sistem/komponen adalah statistics, listwise deletion dan mean substitution, dan machine learning (KNNI). Metode mean substitution dan KNNI dipilih karena metode ini tidak memerlukan informasi untuk pembentukan model prediksi untuk setiap item yang mengandung data hilang. Implementasi analisis data hilang pada data perawatan sistem/komponen menggunakan metode KNNI menghasilkan nilai RMSE terkecil. Hasil ini menunjukan bahwa metode KNNI merupakan metode terbaik untuk menangani data hilang dibanding dengan listwise deletion atau mean substitution.Kata kunci: data hilang, evaluasi data, algoritma, implementasi</jats:p
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
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