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Object transparency reduces human perception of three-dimensional shapes

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IMAGE: From the left, spheres with a surface material that is matte, refractive, or specular.
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Credit: COPYRIGHT (C) TOYOHASHI UNIVERSITY OF TECHNOLOGY. ALL RIGHTS RESERVED.
The research team led by Masakazu Ohara, graduate student of the Department of Computer Science and Engineering at Toyohashi University of Technology (student in the Leading Program doctoral program); Associate Professor Kowa Koida of the Electronics-Inspired Interdisciplinary Research Institute; and Associate Professor Juno Kim of the University of New South Wales (Australia) discovered that when people judge the thickness of an object, objects with glass-like transparent optical properties are perceived to be flatter than they actually are. It was previously known that objects made of metallic or glossy materials are perceived to be thicker than what they are, but now the current research has identified that transparent properties surprisingly have the opposite effec ....

Juno Kim , Kowa Koida , Masakazu Ohara , Interdisciplinary Research Institute , Department Of Computer Science , Toyohashi University Of Technology , University Of New South Wales Australia , Computer Science , Toyohashi University , Leading Program , Associate Professor Kowa Koida , Associate Professor Juno Kim , New South Wales , Chemistry Physics Materials Sciences , Mathematics Statistics , Algorithms Models , Medicine Health , Technology Engineering Computer Science , Multimedia Networking Interface Design , ஜூனோ கிம் , கோவா கொய்த , இடைநிலை ஆராய்ச்சி நிறுவனம் , துறை ஆஃப் கணினி அறிவியல் , தொயோஹஷி பல்கலைக்கழகம் ஆஃப் தொழில்நுட்பம் , பல்கலைக்கழகம் ஆஃப் புதியது தெற்கு வேல்ஸ் ஆஸ்திரேலியா , கணினி அறிவியல் ,

NSF/Amazon grant supports research at NYU to help cities detect biases in algorithmically

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A team of researchers at New York University will develop new methods and tools aimed at minimizing systemic biases and producing more equitable public policy impacts on such areas as city housing inspections, policing, and courts.
Under a $1 million grant from the National Science Foundation (NSF) and Amazon, Computer Science Professor Daniel B. Neill will lead the three-year research project centered on the growing use of Artificial Intelligence (AI) by urban public sector organizations work that will include the creation of open source tools for assessing and correcting biases.
Human decisions and algorithmic decisions have potential for systematic biases that may lead to poor downstream outcomes such as disparities and inequity across racial, gender, and socioeconomic lines, said Neill, a professor at NYU s Wagner Graduate School of Public Service and the Center for Urban Science and Progress (CUSP) at NYU s Tandon School of Engineering. What we want t ....

Danielb Neill , Constantine Kontokosta , Ravi Shroff , Human Development , Wagner Graduate School Of Public Service , Courant Institute Of Mathematical Sciences , Steinhardt School Of Culture , National Science Foundation , Good Laboratory , Marron Institute Of Urban Management , Tandon School Of Engineering , University Of Minnesota Carlson School Management , York University , New York University , Computer Science Professor Daniel , Artificial Intelligence , Graduate School , Public Service , Urban Science , Urban Management , Edward Mcfowland , Carlson School , Grants Funding , Algorithms Models , Policy Ethics , Computer Theory ,

Limiting warming to 2 C requires emissions reductions 80% above Paris Agreement targets

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In 2017, a widely cited study used statistical tools to model how likely the world is to meet the Paris Agreement global temperature targets. The analysis found that on current trends, the planet had only a 5% chance of staying below 2 degrees Celsius warming this century the international climate treaty s supposed goal.
Now, the same authors have used their tools to ask: What emissions cuts would actually be required to meet the goal of 2 C warming, considered a threshold for climate stability and climate-related risks such as excessive heat, drought, extreme weather and sea level rise?
The University of Washington study finds that emissions reductions about 80% more ambitious than those in the Paris Agreement, or an average of 1.8% drop in emissions per year rather than 1% per year, would be enough to stay within 2 degrees. The results were published Feb. 9 in Nature s open-access journal ....

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Low carbon transport at sea: Ferries voyage optimization in the Adriatic

Credit: © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.
Energy efficiency or carbon intensity (defined as CO2 emissions per transport work, ed.) is a possible point of convergence between the International Maritime Organization (IMO) and EU regulations to cut GHG emissions and decarbonize shipping. Short term measures to increase energy efficiency and achieve carbon intensity savings include voyage optimization.
A new study led by the CMCC Foundation, realized in the framework of the Interreg Italy-Croatia GUTTA project and recently published in the ....

Adriatic Sea , Oceans General , Gianandrea Mannarini , University Of Zadar , International Maritime Organization , Marine Environment Monitoring Service , Interreg Italy Croatia , Marine Science , Vering Safe , Icient Routes , Environment Monitoring Service , Italy Croatia Interreg , Earth Science , Algorithms Models , Climate Change , பெருங்கடல்கள் ஜநரல் , சர்வதேச கடல் ஆர்கநைஸேஶந் , கடல் சூழல் கண்காணிப்பு சேவை , கடல் அறிவியல் , சூழல் கண்காணிப்பு சேவை , பூமி அறிவியல் , காலநிலை மாற்றம் ,

Monitoring precious groundwater resources for arid agricultural regions

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VIDEO: KAUST researchers have designed a framework in collaboration with the Saudi Ministry of Environment Water and Agriculture to provide detailed information on agricultural groundwater use in arid regions.
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Credit: © 2021 KAUST
A framework designed to provide detailed information on agricultural groundwater use in arid regions has been developed by KAUST researchers in collaboration with the Saudi Ministry of Environment Water and Agriculture (MEWA).
Groundwater is a precious resource, but we don t pay for it to grow our food, we just pump it out, says Oliver López, who worked on the project with KAUST s Matthew McCabe and co-workers. When something is free, we are less likely to keep track of it, but it is critical that we measure groundwater extraction because it impacts both food and water security, not just regionally, but globally. ....

Al Kharj , Ar Riya , Saudi Arabia , Al Jawf , Saudi Arabia General , Matthew Mccabe , Saudi Ministry Of Environment Water , Saudi Ministry , Environment Water , Big Data , Agricultural Production Economics , Geology Soil , Hydrology Water Resources , Algorithms Models , ஆர் ரியா , சவுதி அரேபியா , சவுதி அரேபியா ஜநரல் , மேத்யூ ம்க்கேப் , சவுதி அமைச்சகம் ஆஃப் சூழல் தண்ணீர் , சவுதி அமைச்சகம் , சூழல் தண்ணீர் , பெரியது தகவல்கள் , புவியியல் மண் , ஹைட்ராலஜி தண்ணீர் வளங்கள் ,