1,720,956 research outputs found
Mapping the Future of Artificial Intelligence-Large Language Models in Light of Academic Integrity at Chinhoyi University of Technology: Addressing Concerns and Safeguarding Educational Ethics.
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
The Design of an IoT based automatic pollution monitoring system
Urban areas are characterized by high population density and extreme air pollution due to mobile machines and industrial activities. Automobiles are one of the main sources of air pollution. The main aim of this research was to monitor the amount of vehicle emissions and ambient air pollution levels depending on vehicle density. This research also investigates cold start emissions from petrol vehicle engines. Design science research methodology was implemented in designing the monitoring system, compatible for both ambient and onboard emission monitoring. The system was designed with emission detection sensors installed on four locations of Chinhoyi urban to monitor ambient air pollution, and on vehicle exhaust tail pipes to monitor vehicle emissions. Highest average CO level (3.27ppm) was found in a location with highest vehicle density (33 vehicles at Location 2 (CHTMBusStop)). It was also observed that Location 1 (CHEMA) had higher vehicle density as compared to location in Chinhoyi urban. However, CO concentration (0.44ppm) at Location 1 (CHEMA) is lower than CO concentrations at locations in Chinhoyi town (0.56ppm and 0.98ppm at Location 3 (CCFCRobots) and Location 4 (CKERobots) respectively). This is attributed to the driving mode of vehicles in highway driving cycle and urban driving cycle. It was found that as vehicle density increased from 15 to 18, CO concentration also increased from 0.56ppm to 0.98ppm respectively. A location furthest from town (location 1) had the minimum CH4 concentration (2.57ppm), and as we move closer to town CBD CH4, concentrations increased significantly (5.94ppm, 7.52ppm and 57.34ppm at location 2, 3, and 4 (Chinhoyi town CBD) respectively). The average CO emission level from vehicle exhaust tailpipes found was 78.39ppm, which is not above the set limit of 90ppm for at most 15minutes. However, the maximum concentration of CO observed from exhaust tail pipes was 988.69ppm. Nissan Sylphy (engine capacity of 1,798cm3, engine model MRA8DE) without converter was found to emit more CO pollutants (279.97ppm) as compared to Toyota Alex2001 (engine of capacity 1496cm3) and Toyota Runx with engine capacity of 1497cm3 (58.57ppm and 20.91ppm respectively). The CO emission levels from vehicles with catalytic converter exist within Zimbabwean emission limits
COVID-19 spread regulator robot - An automatic robot that detects face mask, check human body temperature, and hand sanitizes people at entrance point
Aim - From 3 January 2020 to 6:19pm CEST on April 21, 2022, there were 247,336 confirmed cases of COVID-19 in Zimbabwe, with 5,466 deaths, according to WHO. Despite the fact that there are remedies for illnesses and that our civilization has progressed by great strides, the most powerful and effective weapon society has against this virus, which affects not only health but also economy, politics, and social order, is the prevention of its spread. This research aims at developing an automatic robot system that enforce minimum spread of the virus by checking body temperature, hand sanitizing people, and check proper wearing of face masks before giving people access to restricted premises. Subjects and methods – The research made use of ultrasonic sensor for hand object detection, MLX90614 sensor for contactless temperature checking, submissible pump to dispense hand sanitizer, and solenoid lock for automatic locking and unlocking of the entrance. This research has built a python model that detects the presents and proper wearing of face masks using MobileNetV2 algorithm and implement the model using OpenCV. The model was implemented in the bigger hardware system. Temperature sensor was calibrated using normal contactless temperature sensors used in public. Results – Hand object detection was successfully achieved with 100%, temperature checking was successful with a variance of +/-5 degrees Celsius, sanitizer dispenser worked 100% correct, and auto un/locking was also 100% accurately functional while the face mask detection model had 98% for accuracy, F1-score, precision and recall. In actual functionality of the system, the model could correctly detect proper wearing of face masks for 90 people in a total of 100 people. Conclusion – Therefore, the model proved to be fully functional with high accuracy score as compared to others that make use of Convolutional Neural Networks (CNN). The model could also be implemented for full functionality in a robotic system that works with zero human intervention. The system benefit communities and organizations attempting to limit the spread of COVID-19 because the control will be done by machines, putting personnel at a lower risk than personally inspecting people at access points
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
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