1,720,954 research outputs found
Komponen Atsiri Varian Cengkih “Tuni” dan “Afo” Sebagai Varietas Cengkih Lokal Unggul Asal Kepulauan Maluku
Tuni and Afo cloves from the Maluku Islands are two superior local clove varieties widely known in the global spice trade. Both clove varieties are generally traded in the form of dried flower buds, while trade in the form of essential oil is still limited. Previous research has reported that Tuni cloves have two variants, namely, Tuni-cluster I-a and Tuni-cluster I-b, as well as Afo cloves, which have been identified as having two variants, namely Afo-cluster II-a and Afo-cluster II-b. Until now, the content of all essential components of these two clove varieties has not been widely reported. This study aims to identify the content of critical components in the Tuni and Afo clove variants. The essential oil distillation of all samples used the steam-hydro distillation method, while the distillation oil was analyzed for its essential oil component content using Gas Chromatography-Mass Spectrometry (GC-MS) analysis in the form of Agilent Technologies 7890. The component data from the GC-MS analysis were displayed descriptively, while the heatmap profile of the essential oil component grouping was analyzed using R Stat 3.1.0 software. The analysis results obtained six critical oil components in Tuni-group I-a cloves, nine in Tuni-group I-b cloves, six in Afo-group II-a cloves, and six in Afo-group II-b cloves. Eugenol from the phenylpropanoid fraction was identified as the component with the highest concentration in all samples, followed by caryophyllene from the sesquiterpenoid fraction, and Phenol,2-mthoxy-4-(2-propenyl)-, acetate (eugenol acetate) from the phenylpropanoid fraction
Morphological Character of Clove “Raja” (Syzygium aromaticum L.), Endemic to Maluku, Indonesia
Clove “Raja” is one of the local Maluku clove germplasm, which has characteristics similar to cultivated cloves and wild types. Until now, very limited information that are available on the morphological character of clove “Raja”. This study aims to provide basic information on the morphological diversity of “Raja”. The study was conducted at the location of the distribution of cloves “Raja” in Mamala village, Leihitu sub-district, Central Maluku district, Maluku province, in June-August 2022. The descriptors used referred to Tropical Fruit Descriptors, with some modifications. The clove “Raja” that were characterized belonged to the farmers and consisted of 30 accessions of cloves that were over twenty years old. The characterization variables included the characters of trees, stems, branches, leaves, flowers, fruits, and seeds. The results of Hierarchical Cluster Analysis (HCA) on 30 plant samples based on 54 morphological characters obtained two accession groups with a dissimilarity coefficient of 41%. The results of the Principle Component Analysis (PCA) got a total diversity of 70.5% where the first group consisted of accessions of cloves “Raja” group I having identifiable characters in the form of leaf area, leaf length, leaf width, and leaf tip shape; while the second group of clove accessions of “Raja” group I in the form of stem circumference, petiole length, flower length, fruit length, fruit width, and fruit weight. Characteristics of accession of “Raja” cloves group II had distinctive morphological traits in the form of crown shape, upper surface of leaves, lower surface of leaves, leaf thickness, leaf texture, old leaf color, shoot color, leaf tip color, leaf aroma, leaf spiciness, flower stalk length, and seed color
Going Beyond Counting First Authors in Author Co-citation Analysis
The 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
“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
We 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
We 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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
We 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
Author-wise bibliometric analysis based on entropy.
Author-wise bibliometric analysis based on entropy.</p
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