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E-scooters as a new micro-mobility service

Credit: SMART FM
E-scooters as a new micro-mobility service: SMART researchers explore the potential of e-scooter sharing as a replacement for short-distance transit in Singapore
SMART researchers found that e-scooters are not only a last-mile solution to complement transit services, but also provide a mobility service for short-distance transit trips
- Through a stated preference survey and mixed logit models, SMART researchers found that fare, transit transfer, and transit walking distance are significant factors driving the use of e-scooters as an alternative means of transit. The uncertainty is higher in predicting e-scooter usage preferences of male, young and high-income groups. ....

Kelman Chua , Jinhua Zhao , Xiaohu Zhang , Gavin Choo , Zhejing Cao , Honghai Yu , National Research Foundation Singapore , Department Of Urban , Energy Electronic Systems , Technology Centre , Campus For Research Excellence And Technological Enterprise , University Of Hong Kong , Transportation Research Part , Campus For Research Excellence , National Research Foundation , Innovation Centre , Tsinghua University , Alliance For Research , Interdisciplinary Research Group , Interdisciplinary Research Groups Irgs , Mobility Fm Interdisciplinary Research Group , Massachusetts Institute Of Technology , Research Enterprise , National Research Foundation Of Singapore , Future Urban Mobility , Principal Investigator ,

Promoting young talent in Chemistry: New research training group launched at MLU

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The Research Training Group (RTG) 2670 Beyond Amphiphilicity: Self-organisation of soft matter via multiple noncovalent interactions has begun its work at Martin Luther University Halle-Wittenberg (MLU). Amphiphilicity, a fundamental ordering principle for molecules, will be the starting point of the future research projects. The Deutsche Forschungsgemeinschaft (German Research Foundation, DFG) will provide a first round of funding for the project of around 4.5 million euros until 2025.
Oil and water do not mix; no matter how much they are stirred together they always separate. But by adding a few drops of soap to the mixture, the two liquids are suddenly able to mix, explains Professor Dariush Hinderberger from the Institute of Chemistry at MLU and spokesperson for the new RTG. Soap is an amphiphilic substance, in other words, it is soluble in both fat and water. ....

France General , Dariush Hinderberger , Deutsche Forschungsgemeinschaft German Research Foundation , Alexander Von Humboldt Foundation , Martin Luther University Halle Wittenberg , Sorbonne University , European Union , Institute Of Chemistry , Research Training Group , Deutsche Forschungsgemeinschaft , German Research Foundation , Professor Dariush Hinderberger , Biomechanics Biophysics , Chemistry Physics Materials Sciences , Mathematics Statistics , Algorithms Models , Molecular Physics , பிரான்ஸ் ஜநரல் , அலெக்சாண்டர் வான் ஹம்போல்ட் அடித்தளம் , மார்டின் லூதர் பல்கலைக்கழகம் ஹால் விட்டன்பெர்க் , சோர்போன் பல்கலைக்கழகம் , ஐரோப்பிய தொழிற்சங்கம் , நிறுவனம் ஆஃப் வேதியியல் , ஆராய்ச்சி பயிற்சி குழு , ஜெர்மன் ஆராய்ச்சி அடித்தளம் ,

Modeling can predict mutation

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IMAGE: Computational modeling shows that mutations on SARS-CoV-2 s spike protein that enhance the virus ability to bind to the ACE2 receptor occur in two clusters or mutation hotspots.
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Credit: Image courtesy of Hin Hark Gan and Kristin Gunsalus, NYU s Department of Biology
SARS-CoV-2 has evolved to acquire mutations on the spike protein the part of the virus that protrudes from its surface and latches onto cells to infect them that enhance the coronavirus ability to bind to human cells or evade antibodies. A new study from the Centers for Genomics and Systems Biology at New York University and NYU Abu Dhabi uses computational modeling to assess the biological significance of spike protein mutations, uncovering versions of the virus that bind more tightly or resist antibodies and offering a promising public health surveillance tool. ....

South Africa , Abu Dhabi , Abuz Aby , United Arab Emirates , Benoit Marchand , Kristinc Gunsalus , Centers For Genomics , Systems Biology At New York University , Abu Dhabi High Performance Computing Group , Systems Biology , New York University , Molecular Biology , Hin Hark Gan , Alan Twaddle , High Performance Computing , Algorithms Models , Medicine Health , Infectious Emerging Diseases , Public Health , Technology Engineering Computer Science , ஒன்றுபட்டது அரபு அமீரகங்கள் , பெனாய்ட் மார்ச்சண்ட் , அமைப்புகள் உயிரியல் இல் புதியது யார்க் பல்கலைக்கழகம் , அமைப்புகள் உயிரியல் , புதியது யார்க் பல்கலைக்கழகம் , மூலக்கூறு உயிரியல் ,

Envisioning safer cities with AI

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IMAGE: Visualization of the percentage of a building s repair cost to its replacement value after a magnitude 7.0 earthquake in San Francisco.
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Credit: Chaofeng Wang, SimCenter, UC Berkeley
Artificial intelligence is providing new opportunities in a range of fields, from business to industrial design to entertainment. But how about civil engineering and city planning? How might machine- and deep-learning help us create safer, more sustainable, and resilient built environments?
A team of researchers from the NSF NHERI SimCenter, a computational modeling and simulation center for the natural hazards engineering community based at the University of California, Berkeley, have developed a suite of tools called BRAILS Building Recognition using AI at Large-Scale that can automatically identify characteristics of buildings in a city and even detect the risks that a city s structures would face in an earthquake, hurricane, or tsunami. ....

United States , New Jersey , Atlantic City , San Francisco Bay , Lake Charles , San Francisco , Frank Mckenna , Charles Chaofeng Wang , Stella Yu , Sanjay Govindjee , Barbaros Cetiner , Qian Yu , Ertugrul Taciroglu , Satish Rao , Yunhui Guo , Ellen Rathje , University Of Texas At Austin , University Of California , Texas Advanced Computing Center , Operational Research Logistics In The Nearshore Environment , Google Maps , Microsoft Footprint Data , Simcenter Principal Investigator , Director Sanjay , Disaster Preparedness , Hurricane Laura ,

Researchers use 'hole-y' math and machine learning to study cellular self-assembly

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IMAGE: Topology-based machine learning classifies how human cells organize into spatial patterns based on the presence of persistent topological loops around empty regions, which can be used to infer cellular behaviors.
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Credit: Wong lab/Brown University
PROVIDENCE, R.I. [Brown University] The field of mathematical topology is often described in terms of donuts and pretzels.
To most of us, the two differ in the way they taste or in their compatibility with morning coffee. But to a topologist, the only difference between the two is that one has a single hole and the other has three. There s no way to stretch or contort a donut to make it look like a pretzel at least not without ripping it or pasting different parts together, both of which are verboten in topology. The different number of holes make two shapes that are fundamentally, inexorably different. ....

Dhananjay Bhaskar , Iany Wong , William Zhang , Brown School Of Engineering , Brown University , Brown University Data Science Initiative , Soft Matter , Pablo Picasso , National Cancer Institute , Brown University Data Science , Cell Biology , Mathematics Statistics , Algorithms Models , Technology Engineering Computer Science , Biomedical Environmental Chemical Engineering , Robotry Artificial Intelligence , தனஞ்சய் பாஸ்கர் , வில்லியம் ஜாங் , பழுப்பு பள்ளி ஆஃப் பொறியியல் , பழுப்பு பல்கலைக்கழகம் , மென்மையான விஷயம் , பப்லொ பிகாஸொ , தேசிய புற்றுநோய் நிறுவனம் ,