scholarly journals Locating Organizations and Their Methods in Registrations of Clinical Migraine Trials: Analysis of ClinicalTrials.gov

2021 ◽  
Vol 12 ◽  
Author(s):  
Pengfei Zhang ◽  
Thien Phu Do
Keyword(s):  
Clinical Research ◽  
Application Programming Interface ◽  
Group Assignment ◽  
Need To Evaluate ◽  
Application Programming ◽  
Host Organization ◽  
Study Type ◽  
Study Designs ◽  
Type 3 ◽  
Assignment Models

Background and Objective:ClinicalTrials.gov is a centralized venue for monitoring clinical research and allows access to information on publicly and privately funded studies. To better recognize influential institutions in the field of headache, we identified major organizations conducting clinical trials in migraine research. Furthermore, we examined the frequency of different study designs.Methods: Utilizing the ClinicalTrials.gov application programming interface, we extracted studies including individuals with migraine from February 29, 2000, to July 28, 2020, for the following: (1) host organization, (2) study type, (3) primary purpose, (4) intervention model, and (5) allocation.Results: We included 921 entries encompassing 423 organizations. Thirty-two organizations produced ≥5 entries each and 40.0% of all entries. Most, 86%, were interventional studies while 13.6% were observational studies. The most common study design had a randomized allocation of participants. The most frequent primary purpose was treatment (62.4%) followed by prevention (13.0%). There were 56.9% parallel assignment models, 15.2% single group assignment models, and 12.4% crossover assignment models.Conclusion: A minority of organizations contribute to a significant number of registrations of clinical migraine trials, suggesting that clinical research in migraine is oligarchic. The most common study is interventional and randomized, with parallel assignment of participants with treatment as the primary purpose. This likely reflects the need to evaluate novel putative pharmacological medications.

Sistem Pengawasan Aktifitas Penggunaan Smartphone Android

2018 ◽  
Vol 9 (1) ◽  
pp. 24-31
Author(s):  
Rudianto Rudianto ◽  
Eko Budi Setiawan
Keyword(s):  
Application Programming Interface ◽  
Third Party ◽  
Image Content ◽  
Image File ◽  
Application Programming ◽  
Index Terms ◽  
Programming Interface

Availability the Application Programming Interface (API) for third-party applications on Android devices provides an opportunity to monitor Android devices with each other. This is used to create an application that can facilitate parents in child supervision through Android devices owned. In this study, some features added to the classification of image content on Android devices related to negative content. In this case, researchers using Clarifai API. The result of this research is to produce a system which has feature, give a report of image file contained in target smartphone and can do deletion on the image file, receive browser history report and can directly visit in the application, receive a report of child location and can be directly contacted via this application. This application works well on the Android Lollipop (API Level 22). Index Terms— Application Programming Interface(API), Monitoring, Negative Content, Children, Parent.

Is JUUL marketing to kids on social media? Analysis of JUUL Twitter Followers� Age (Preprint)

2018 ◽  
Author(s):  
Annice Kim ◽  
Robert Chew ◽  
Michael Wenger ◽  
Margaret Cress ◽  
Thomas Bukowski ◽  
...  
Keyword(s):  
Social Media ◽  
Application Programming Interface ◽  
Media Analysis ◽  
Prediction Algorithm ◽  
Social Media Networks ◽  
Verification Methods ◽  
Twitter Account ◽  
Application Programming ◽  
Age Verification ◽  
Age Category

BACKGROUND JUUL is an electronic nicotine delivery system (ENDS) resembling a USB device that has become rapidly popular among youth. Recent studies suggest that social media may be contributing to its popularity. JUUL company claims their products are targeted for adult current smokers but recent surveillance suggests youth may be exposed to JUUL products online. To date, there has been little attention on restricting youth exposure to age restricted products on social media. OBJECTIVE The objective of this study was to utilize a computational age prediction algorithm to determine the extent to which underage youth are being exposed to JUUL’s marketing practices on Twitter. METHODS We examined all of @JUULvapor’s Twitter followers in April 2018. For followers with a public account, we obtained their metadata and last 200 tweets using the Twitter application programming interface. We ran a series of classification models to predict whether the account following @JUULvapor was an underage youth or an adult. RESULTS Out of 9,077 individuals following @JUULvapor Twitter account, a three-age category model predicted that 44.9% are 13 to 17 years old (N=4,078), 43.6% are 18 to 24 years old (N=3,957), and 11.5% are 25 years old or older (N=1,042); and a two-age category model predicted that 80.6% (N=7,313) are under 21 years old. CONCLUSIONS Despite a disclaimer that followers must be of legal age to purchase tobacco products, the majority of JUUL followers on Twitter are under age. This suggests that ENDS brands and social media networks need to implement more stringent age-verification methods to protect youth from age-restricted content.

As-RaD System as a Design Model of the Network Automation Configuration System Based on the REST-API and Django Framework

2020 ◽  
pp. 291-298
Author(s):  
Adian Fatchur Rochim ◽  
Abda Rafi ◽  
Adnan Fauzi ◽  
Kurniawan Teguh Martono
Keyword(s):  
Information Technology ◽  
Application Programming Interface ◽  
Design Model ◽  
Automation System ◽  
Network Configuration ◽  
Web Based ◽  
Representational State Transfer ◽  
Application Programming ◽  
Rest Api ◽  
Python Programming

The use of information technology these days are very high. From business through education activities tend to use this technology most of the time. Information technology uses computer networks for integration and management data. To avoid business problems, the number of network devices installed requires a manageable network configuration for easier maintenance. Traditionally, each of network devices has to be manually configured by network administrators. This process takes time and inefficient. Network automation methods exist to overcome the repetitive process. Design model uses a web-based application for maintenance and automates networking tasks. In this research, the network automation system implemented and built a controller application that used REST API (Representational State Transfer Application Programming Interface) architecture and built by Django framework with Python programming language. The design modeled namely As-RaD System. The network devices used in this research are Cisco CSR1000V because it supports REST API communication to manage its network configuration and could be placed on the server either. The As-RaD System provides 75% faster performance than Paramiko and 92% than NAPALM.

scholarly journals Advanced soft robot modeling in ChainQueen

Robotica ◽  
2021 ◽  
pp. 1-31
Author(s):  
Andrew Spielberg ◽  
Tao Du ◽  
Yuanming Hu ◽  
Daniela Rus ◽  
Wojciech Matusik
Keyword(s):  
Application Programming Interface ◽  
Material Point ◽  
Soft Robotics ◽  
Soft Robot ◽  
Inference Control ◽  
Simulation And Optimization ◽  
Efficient Simulation ◽  
Application Programming ◽  
Robot Modeling ◽  
Programming Interface

Abstract We present extensions to ChainQueen, an open source, fully differentiable material point method simulator for soft robotics. Previous work established ChainQueen as a powerful tool for inference, control, and co-design for soft robotics. We detail enhancements to ChainQueen, allowing for more efficient simulation and optimization and expressive co-optimization over material properties and geometric parameters. We package our simulator extensions in an easy-to-use, modular application programming interface (API) with predefined observation models, controllers, actuators, optimizers, and geometric processing tools, making it simple to prototype complex experiments in 50 lines or fewer. We demonstrate the power of our simulator extensions in over nine simulated experiments.

scholarly journals Transition of May Measurement Month to an online hypertension awareness campaign in Korea during the COVID-19 pandemic

2021 ◽  
Author(s):  
Jinho Shin ◽  
Hae Young Lee ◽  
Sungha Park ◽  
Il Suk Sohn ◽  
Sun Ho Kim ◽  
...  
Keyword(s):  
Application Programming Interface ◽  
Global Campaign ◽  
Hypertension Awareness ◽  
On Line ◽  
Application Programming ◽  
Measuring Campaign ◽  
Promotional Video ◽  
Online Format ◽  
Service Channels ◽  
Educational Contents

Abstract Aims  May Measurement Month (MMM) is a global campaign to enhance hypertension awareness by intensive blood pressure measuring campaign during a month period of May. May Measurement Month 2020 was not officially executed globally, especially in light of COVID-19 pandemic. But in Korea, the MMM committee decided to carry on with self-initiated project to succeed MMM started in 2019 in Korea. And we adopted new online strategies for those with age of 18 or older under the MMM Methods and results  Korea 2020 theme in Korean of ‘Look for the Young Hypertension’. A promotional video, a subtitled translated global promotional video, and four educational contents were uploaded on Youtube®. Seven online posters or card news were uploaded on main blog. And 71 articles by 60 websites from 10 medical media company were published. The MMM keyword exposure in Naver® portal Search Advertisements was 2500 searches per day. There were 3519 visits to the MMM blog, and 114 people participated in snapshot challenges. Four social network service channels were activated, and there was an increase in Facebook and Instagram followers of 6.5- and 5.8-fold, respectively. GoodDoc® application programming interface messages were sent 97876 times (2589 responses). For a user created contents contest, 28 competitors, mostly young, participated. Conclusion  Even during the COVID-19 pandemic, the MMM campaign was able to survive using a ‘new normal’ online format. The shift to on-line activity during the pandemic will contribute to a breakthrough MMM campaign in the future that can be combined with off-line protocols even after the pandemic.

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