Âé¶¹ÒùÔº - latest science and technology news stories / en-us Âé¶¹ÒùÔº internet news portal provides the latest news on science including: Âé¶¹ÒùÔºics, Nanotechnology, Life Sciences, Space Science, Earth Science, Environment, Health and Medicine. Transforming drug discovery with AI: New program transforms 3D information into data that typical models can use A new AI-powered program will allow researchers to level up their drug discovery efforts. /news/2024-06-drug-discovery-ai-3d-typical.html Biotechnology Molecular & Computational biology Fri, 21 Jun 2024 11:53:05 EDT news638189582 New experimental evidence unlocks a puzzle in vascular tissue engineering Angiogenesis is a process of forming hierarchical vascular networks in living tissues. Its complexity makes the controlled generation of blood vessels in laboratory conditions a highly challenging task. /news/2024-04-experimental-evidence-puzzle-vascular-tissue.html Molecular & Computational biology Thu, 25 Apr 2024 12:25:29 EDT news633266724 A closer look at the dynamics of the p-Laplacian Allen–Cahn equation In the past few decades, the use of phase field-modeling equations for mathematical modeling has progressed. Phase separation has been studied extensively in thermodynamics and materials engineering, but the biological field has also begun to take an interest in this phenomenon. /news/2022-11-closer-dynamics-p-laplacian-allencahn-equation.html Mathematics Mon, 21 Nov 2022 15:14:03 EST news588266042 Researchers create flat magic window with liquid crystals For the first time, researchers have used liquid crystals to create a flat magic window—a transparent device that produces a hidden image when light shines on it. The technology represents a new twist on a very old light trick. /news/2022-05-flat-magic-window-liquid-crystals.html Optics & Photonics Thu, 05 May 2022 10:00:01 EDT news570956501 Breakthrough metals research has implications for the metal casting industry Florida Tech professor emeritus Martin Glicksman's latest metals/materials science research has implications for the metal casting industry, but it also has a profound personal connection inspired by two late colleagues. /news/2022-01-breakthrough-metals-implications-metal-industry.html Soft Matter Mon, 10 Jan 2022 10:23:13 EST news561032590 New mathematical tools to study opinion dynamics Research published in the SIAM Journal on Applied Mathematics describes a new mathematical model for studying influence across social networks. Using tools from the field of topology, Robert Ghrist and Ph.D. graduate Jakob Hansen developed a framework to track how opinions change over time in a wide range of scenarios, including ones where individuals can use deceptive behaviors and propaganda agents can drive a group's consensus. /news/2021-10-mathematical-tools-opinion-dynamics.html Mathematics Wed, 06 Oct 2021 06:57:40 EDT news552722255 Octupole corner state in a three-dimensional topological circuit Higher-order topological insulators featuring quantized bulk polarizations and zero-dimensional corner states are attracting increasing interest due to their strong mode confinement. Recently, scientists from China and the UK demonstrated in a 3-D topological circuit the existence of an octupole corner state, which is induced by the octupole moment of the bulk circuit and topologically protected by three anticommuting reflection symmetries. This work is not only of fundamental importance but also opens the door towards realizations of novel electronic topological devices. /news/2020-08-octupole-corner-state-three-dimensional-topological.html Optics & Photonics Thu, 27 Aug 2020 12:45:06 EDT news517751103 Light programmable guidance of direct current fields in Laplacian metadevices To enable negative refraction and related optical illusions, metamaterials are artificially engineered with unique properties that result from their internal physical structures, rather than their chemical composition. The concept is credited to an experiment conducted by the Soviet scientist Victor Veselago in 1968 to show that negatively refracting materials (as opposed to the typically observed positive refractive index) to create a negative index 'superlens' could be achieved when both electric permittivity (ε) and magnetic permeability (µ) of a material were negative. Thirty-three years after the conceptual proposal, the pioneering work of physicist John Pendry enabled the development of metamaterials as Veselago imagined—a composite material with negative refractive index providing greatly improved resolution. /news/2018-08-programmable-guidance-current-fields-laplacian.html Optics & Photonics Wed, 29 Aug 2018 09:40:01 EDT news454668008 Grid-based continual analysis of molecular interior for drug discovery, QSAR and QSPR A series of grid-based computational technologies for in silico virtual screening and molecular design of new drugs is proposed. The technologies are based on original CoMIn (Continual Molecular Interior analysis) software. /news/2017-08-grid-based-analysis-molecular-interior-drug.html Quantum Âé¶¹ÒùÔºics Tue, 29 Aug 2017 06:55:38 EDT news423208513 It's complicated: Self-organized patterns identify emergent behavior near critical transitions From the perspective of complex systems, a range of events – from chemistry and biology to extreme weather and population ecology – can be viewed as large-scale self-emergent phenomena that occur as a consequence of deteriorating stability. Based on observing the self-organized patterns associated with these phenomena, the elusive goal has been the ability to interpret these emergent patterns to predict the related critical events. Recently, scientists at HRL Laboratories, LLC in Malibu, California sought to determine if there was a quantifiable relationship between these patterns and the network of interactions characterizing the event. By limiting their working definition of self-organization to spontaneous order emergence resulting from a non-equilibrium phase transition (that is, a change in a feature of a physical system – one that is not simply isolated from the rest of the universe –that results in a discrete transition of that system to another state), the researchers were able to detect the transition based on the principal mode of the pattern dynamics, and identify its evolving structure based on the observed patterns. They found that while the pattern is distorted by the network of interactions, its principal mode is invariant to the distortion even when the network constantly evolves. The scientists then validated their analysis on real-world markets and showed common self-organized behavior near critical transitions, such as housing market collapse and stock market crashes, thereby providing a proof-of-concept that their goal of being able to detect critical events before they are in full effect is possible. /news/2015-04-complicated-self-organized-patterns-emergent-behavior.html General Âé¶¹ÒùÔºics Tue, 28 Apr 2015 11:40:01 EDT news349432164 New algorithm could transfer acclaimed photographers' signature styles to cellphone photos Celebrated portrait photographers like Richard Avedon, Diane Arbus, and Martin Schoeller made their reputations with distinctive visual styles that sometimes required the careful control of lighting possible only in the studio. /news/2014-05-algorithm-acclaimed-signature-styles-cellphone.html Computer Sciences Thu, 29 May 2014 07:40:03 EDT news320566280 Short algorithm, long-range consequences In the last decade, theoretical computer science has seen remarkable progress on the problem of solving graph Laplacians—the esoteric name for a calculation with hordes of familiar applications in scheduling, image processing, online product recommendation, network analysis, and scientific computing, to name just a few. Only in 2004 did researchers first propose an algorithm that solved graph Laplacians in "nearly linear time," meaning that the algorithm's running time didn't increase exponentially with the size of the problem. /news/2013-03-short-algorithm-long-range-consequences.html Computer Sciences Fri, 01 Mar 2013 18:52:39 EST news281386352 Genius of Einstein, Fourier key to new humanlike computer vision (Âé¶¹ÒùÔºOrg.com) -- Two new techniques for computer-vision technology mimic how humans perceive three-dimensional shapes by instantly recognizing objects no matter how they are twisted or bent, an advance that could help machines see more like people. /news/2011-06-genius-einstein-fourier-key-humanlike.html Computer Sciences Mon, 20 Jun 2011 16:16:46 EDT news227805375 Mini-Comets within a comet lit up 17P/Holmes during megaoutburst Astronomers from the University of California, Los Angeles and the University of Hawaii have discovered multiple fragments ejected during the largest cometary outburst ever witnessed. Images and animations showing fragments rapidly flying away from the nucleus of comet 17P/Holmes will be presented by Rachel Stevenson at the European Planetary Science Congress in Potsdam, Germany, on Wednesday 16 September. /news/2009-09-mini-comets-comet-lit-17pholmes-megaoutburst.html Space Exploration Wed, 16 Sep 2009 09:20:01 EDT news172306060