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    The Effect of Carica papaya Peels and Mānuka Honey to Create a Sustainable Liquid Fertilizer for Rapid Cycling Brassica rapa

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    Synthetic fertilizers are recognized for their negative impact on soil health, yet their affordability leads to widespread use, adversely affecting plant vitality. Mānuka honey is well-known for its medicinal properties; however, there are few studies on mānuka honey\u27s impact on plant development. Along with this, Carica papaya is known for its vitamin content, specifically in the peel, which contains essential nutrients for plant growth.This study focused on the synergistic potential of combining mānuka honey and Carica papaya peels to formulate an organic fertilizer that surpasses synthetic alternatives in efficacy. It was hypothesized that a mixture of mānuka honey and Carica papaya peels (mL) would enhance the growth of Brassica rapa (cm) more effectively than standard chemical fertilizers. A total of five groups, including a control, were established, with thirty Brassica rapa seeds planted in each. Carica papaya fertilizers were prepared ahead of time by crushing peels with a mortar and pestle and were refrigerated. Mānuka honey was stirred with water in a separate flask, and a third flask was used to mix mānuka and Carica papaya. Miracle-Gro was the synthetic fertilizer used. The two-way ANOVA revealed that fertilizer was the most important factor impacting Brassica rapa development, with a p-value of \u3c0.001. The one-way ANOVA demonstrated this as well, with a p-value of 0.016. Adding mānuka and Carica papaya peels did not promote Brassica rapa development, resulting in a lower height mean of 0.2400 compared to the highest, the control, which was 0.7400. Consequently, the hypothesis was partially supported

    Non-Invasive Wearable Blood Clot Detection Device for Early Clot Detection

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    Blood clots are serious health conditions that when not treated can lead to strokes, heart attacks, and death. Roughly every 6 minutes a person in the U.S. dies from a type of blood clot. Although there are devices such as doppler ultrasounds used to diagnose thrombosis, they usually diagnose the clot when serious symptoms are present. Moreover, almost half of people who develop blood clots such as deep vein thrombosis, will not have any noticeable symptoms, which leaves them without treatment and increases the chance of experiencing life threatening conditions. Wearable devices offer potential continuous monitoring tasks that would be able to detect clots before symptoms arise. The purpose of this study was to create a wearable blood clot device that can detect subtle changes in blood flow using a photoplethysmography (PPG) sensor and an accelerometer and gyroscope to identify early stage thrombosis.It was hypothesized that a wearable blood clot detection device utilizing a PPG sensor in addition to an accelerometer will be able to detect early thrombosis because of its sensitivity in identifying precise changes in blood flow as opposed to traditional models. The device consisted of an Arduino Uno Rev 3, a MAX30102 PPG sensor and a MPU-6050 accelerometer and gyroscope sensor to detect early clot formation utilizing a peristaltic pump powered silicon blood flow tubing model. To model thrombosis three clot groups were created that include cornstarch (early clot), cornstarch and agar (in between early and partial) and agar alone (partial)

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    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

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    “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

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    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

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    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

    Author Index

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    koamabayili/VECTRON-author-checklist: VECTRON author checklist

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    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
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