A commercial kitchen is a kind of laboratory
Fried chicken with sweet sauce and cabbage, mid sized portion of rice, okra with mustard and shredded chicken, sweet egg omelette with waffles and cream at Ritsumeikan University in Kyoto, Japan 🇯🇵
💶 752yen (~5,25€) pic.twitter.com/4jKnpNrQEy
— Mensa Scran (@MensaScran) October 30, 2022
University of Sydney
Blockchain Standard: Can We Reach Consensus?
Abstract: In this article, we study ongoing blockchain and distributed ledger technologies (DLT) standardization. To this end, we list standards organizations and the efforts they devote to standardise blockchain and DLT. We then identify a lack of terminology that can hamper communication on this topic and propose clarifications to address these ambiguities. Finally, we propose a high-level description of blockchain and DLT by describing three elements of their functional architecture.
This content is accessible to paid subscribers. To view it please enter your password below or send [email protected] a request for subscription details.
This content is accessible to paid subscribers. To view it please enter your password below or send [email protected] a request for subscription details.
Monash University has a total enrollment of approximately 80,000 students, which includes over 30,000 international students from more than 170 countries. Its Australia-based campuses are found across Victoria, including Clayton, Caulfield, Peninsula, and Parkville, as well as international campuses in Malaysia, China, and India.
The university has more than 4,000 academic and professional staff and offers over 500 courses across a range of disciplines, including arts, business, engineering, law, medicine, and science.
Survey and Analysis of Current End-User Data Analytics Tool Support
Hourieh Khalajzadeh – John Grundy
Faculty of Information Technology, Monash University
Mohamed Abdelrazek
School of Information Technology, Deakin University
John Hosking
Faculty of Science, University of Auckland
Qiang He
Swinburne University of Technology
Abstract: There has been a very large growth in interest in big data analytics to discover patterns and insights. A major challenge in this domain is the need to combine domain knowledge – what the data means (semantics) and what it is used for – with advanced data analytics and visualization techniques to mine and communicate important information from the huge volumes of raw data. Many data analytics tools have been developed for both research and practice to assist in specifying, integrating and deploying data analytics applications. However, delivering such big data analytics applications requires a capable team with different skillsets including data scientists, software engineers and domain experts. Such teams and skillsets usually take a long time to build and have high running costs. An alternative is to provide domain experts and data scientists – the end users – with tools they can use to create and deploy complex data analytics application solutions directly with less technical skills required. In this paper we present a survey and analysis of several current research and practice approaches to supporting data analytics for end-users, identifying key strengths, weaknesses and opportunities for future research.
CLICK HERE to order complete paper
New update alert! The 2022 update to the Trademark Assignment Dataset is now available online. Find 1.29 million trademark assignments, involving 2.28 million unique trademark properties issued by the USPTO between March 1952 and January 2023: https://t.co/njrDAbSpwB pic.twitter.com/GkAXrHoQ9T
— USPTO (@uspto) July 13, 2023
Standards Michigan Group, LLC
2723 South State Street | Suite 150
Ann Arbor, MI 48104 USA
888-746-3670
 |
 |
|
 |
 |
|
 |
 |
