1,720,965 research outputs found
Design of Experiment for Predicting Residual Stresses in Gas Tungsten Arc Welding Process
No full text
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Get PDF“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
Get PDFWe 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
IoT-Integrated Machine Learning for Precision Watering in Bamboo Mushroom Farming
No full textThis study offers a method for enhancing bamboo mushroom farming. We aim to increase productivity by combining machine learning methods for device-level computing with the Internet of Things (IoT). The first step is to record the ideal environmental conditions in the bamboo mushroom greenhouse. The IoT devices collect data on temperature, humidity, soil moisture, and water usage, storing it in the cloud. The regression model is then formulated for irrigation control and predicting water consumption in the bamboo mushroom farm. Later, the microcontroller is programmed to control the water pump in a systematic manner to release water. The study found that temperature, soil moisture, and relative humidity are the primary factors affecting water content. The proposed method increased mushroom volume by 46.67% and saved 22% of water usage, demonstrating the successful integration of machine learning into smart farming at the device level
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe 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
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
Estimation of microbial load in Ganoderma lucidum using a solar-electric hybrid dryer enhanced by machine learning and IoT
No full textThis study focuses on developing a hybrid-powered dryer that uses both solar and electric energy to dry Ganoderma lucidum mushrooms. Integrated with an Internet of Things (IoT) platform, the system enables real-time monitoring of temperature, time, and humidity. The analysis evaluated reductions in weight, moisture content, water activity, and microbial counts (bacteria, fungus, and yeast) across temperatures ranging from 40 °C to 80 °C over 480 min. The results indicated that higher temperatures, particularly 80 °C, were most effective in reducing microbial counts, achieving near-zero levels after 240 to 480 min. Machine learning (ML) models random forest regression (RFR), decision tree regression (DTR), and multiple linear regression (MLR) were trained to estimate microbial levels based on input variables such as time, temperature, and weight. RFR had the highest accuracy for estimating bacteria, while DTR excelled for fungus and yeast. However, MLR proved most suitable for IoT applications due to its simplicity in real-time implementation on devices. Therefore, the ML models were selected based on accuracy performance (RFR and DTR) and ease of integration into IoT systems (MLR). This study demonstrates the hybrid dryer's efficiency and the potential of ML models to optimize the drying process, contributing to energy efficiency and product quality control. Initially designed for small-scale on-farm use, the system also has the potential for future scaling to industrial processing facilities
- …
