FOUNDRY CEO Rick Peltz has written a CRM white paper intended to benefit the entire commercial real estate industry.
Titled “Tired of Being a Salesforce Prisoner?” the white paper is now available on the FOUNDRY website. It explains the two types of web-based CRE solutions available, the pros and cons of each, and cost comparisons between the two.
After having spent nearly twenty years as a Chief Information Officer with CRE brand Marcus & Millichap, Peltz has embarked on a continuing mission to disrupt the commercial real estate niche and save the top CRE companies millions of dollars.
According to Peltz: “Just two years ago, there were seven subscription-based SAAS CRE solutions. Four of these SAAS brands were Salesforce-based (Apto, REthink CRM, Buildout, AscendixRE CRM), and RealNex, Prospect Now and ClientLook.”
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Researchers at the National Institute for Materials Science (NIMS) in Japan have automated a complex and labour-intensive process for analysing the results of X-ray diffraction studies, which are used to determine the structure of crystalline materials. The team described the development and application of their technique in the journal Science and Technology of Advanced Materials: Methods.
By combining machine learning with robotic process automation, researchers automated a mathematical procedure that determines the structure of crystalline materials. (Credit: ktsdesign/123rf)
X-rays fired at a crystal interact with the geometric arrangement of its particles and are diffracted in many directions in a complex pattern of rays that depends on the crystal’s precise structure. Experts analyse the pattern and intensity of the diffracted X-rays to determine the crystal’s internal arrangement. This is a powerful and widely used process for revealing the three-dimensional atomic structure of new materials.
A well-established mathematical procedure, called Rietveld analysis, is used for interpreting X-ray diffraction data, but it is time-consuming and requires manual trial-and-error refinement of the results.
“To reduce human costs and resources, we have developed a robotic process automation (RPA) system that we apply to an existing Rietveld analysis program called RIETAN-FP,” says Ryo Tamura of the NIMS team. “By using our new procedure, with the help of machine learning, we have succeeded in performing Rietveld analysis automatically,” Tamura adds.
The automation can be run on a personal computer and can reduce human error as well as greatly speed up the data analysis.
Tamura explains that the field of materials science already relies on numerous graphical user interface (GUI) applications to calculate a material’s properties, control experimental equipment, or analyse material data. He says that combining this new RPA and machine learning ability with these applications achieves a “closed loop” to automatically design and analyse materials with minimal human intervention.
The researchers verified the accuracy of their procedure by analysing samples of powdered compounds whose crystal structures are already known. The ability to determine the structures from powdered samples is one of the great strengths of Rietveld analysis. It avoids the need to grow large single crystals, which can be extremely difficult to obtain for some materials.
“Automating Rietveld analysis brings a very powerful new tool into the entire field of materials science,” Tamura concludes.
The researchers are now working to further refine their procedure to make it suitable for more complex crystal structures. Another aim is to explore the use of their machine learning RPA strategy for more general applications in materials science. The possibilities include numerous simulation methods used for calculating material properties, and also applications for controlling experimental equipment. The success achieved thus far with X-ray diffraction could just be the start for Rietveld robotics.
Further information Ryo Tamura National Institute for Materials Science Email: tamura.ryo@nims.go.jp
About Science and Technology of Advanced Materials: Methods (STAM Methods)
STAM Methods is an open access sister journal of Science and Technology of Advanced Materials (STAM), and focuses on emergent methods and tools for improving and/or accelerating materials developments, such as methodology, apparatus, instrumentation, modeling, high-through put data collection, materials/process informatics, databases, and programming. https://www.tandfonline.com/STAM-M
Dr. Yasufumi Nakamichi STAM Methods Publishing Director Email: NAKAMICHI.Yasufumi@nims.go.jp
Press release distributed by Asia Research News for Science and Technology of Advanced Materials.
An exhibition on the 10,000-year-old Shangshan culture opened at the National Museum of China on Nov. 21. “Rice, Origin, Enlightenment: Special Exhibition of Shangshan Culture Archaeological Discoveries in Zhejiang” demonstrates the significance of rice farming society represented by the Shangshan culture to Chinese civilization, as well as its contribution and influence to East Asia and the world.
Rice, Origin, Enlightenment: Special Exhibition of Shangshan Culture Archaeological Discoveries in Zhejiang. At the National Museum of China, from November 21, 2021.
Through nearly 200 artifacts from early, middle, and late Shangshan Culture, with background information, reconstructions, and multimedia, the exhibition aims to reveal production and life in the East Asian rice culture represented by Shangshan Culture.
The exhibition features the earliest carbonized rice, painted pottery in various forms, settlements, surrounding moats and other symbolic remains, vividly illustrating the great contributions made by the Chinese nation to rice farming.
An important part of the exhibition, a seminar on the civilization of China and Zhejiang was also held at the National Museum. It was joined by renowned archaeologists from China and abroad. Discussions were held on the value of the Shangshan culture both in history and present day, as well as the culture’s position in Chinese and human civilization.
Professor Dorian Q Fuller from University College London Institute of Archaeology introduced a global perspective on the value of Shangshan culture and its contribution to the Neolithic transformation. Li Liu, professor at the Stanford Archaeology Center, Stanford University expounded on Shangshan culture and the origin of grain wine.
Located in the middle and lower reaches of the Yangtze River in China, the Shangshan site is the earliest known remains of rice farming in the world. As an origin of rice farming, the Shangshan culture occupies an important position in the formation of Chinese civilization.
Hosted by: The Society for Chinese Archaeology, National Museum of China, and Zhejiang Provincial Department of Culture and Tourism. For opening hours and details, please see http://en.chnmuseum.cn.
In light of recent events where the cost of medical and financial aid is growing the need to maintain a good credit score to afford necessities grows. However, Maintaining a good credit score has always been a mind-numbing experience, this fact is true for the majority of people as they lack information on how to maintain or improve their credit scores, be it from genuinely not knowing the means or from being kept in the dark about the process.
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About the Author
Stan Morris has been a credit specialist in the automotive sector since 1987. Over the years, he has assisted people and families in understanding and improving their credit scores, leading to people and families saving hundreds and thousands of dollars in total with their annual credit scores.
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