A multidisciplinary team of researchers at the National University of Singapore (NUS) has developed a portable, easy-to-use device for quick and accurate screening of diseases. This versatile technology platform called enVision (enzyme-assisted nanocomplexes for visual identification of nucleic acids) can be designed to detect a wide range of diseases - from emerging infectious diseases (e.g. Zika and Ebola) and high-prevalence infections (e.g. hepatitis, dengue, and malaria) to various types of cancers and genetic diseases.
With age, expression of a small molecule that can silence others goes way up while a key signaling molecule that helps stem cells make healthy bone goes down, scientists report.
Artificial neural networks -- algorithms inspired by connections in the brain -- have 'learned' to perform a variety of tasks, from pedestrian detection in self-driving cars, to analyzing medical images, to translating languages. Now, researchers at the University of California San Diego are training artificial neural networks to predict new stable materials.
The University of Tokyo Institute of Industrial Science researchers have created a model to explore the transition behavior of crystal lattices. Their system, based on spheroid particles with a permanent dipole, showed that the combination of anisotropic steric and dipole effects causes frustration that induces the coupling between polarization and strain, resulting in the self-organization. These findings are expected to contribute to the rational design of materials for applications including electro-mechanical actuators and electro-caloric refrigerators.
Physicists report in Nature magazine how they have sent and controlled a spin current across longer distances than ever before -- and in a material that was previously considered unsuitable for the task.
Scientists at Tokyo Institute of Technology have theoretically demonstrated that special tetrahedron nanostructures composed of certain metals have a higher degree of symmetry than the geometrical symmetry of spherical atoms. Nanomaterials with unique and unprecedented electrical and magnetic properties arising from this symmetry will be developed and used for next-generation electronic devices.
Scientists have developed a topological photonic chip to process quantum information, promising a more robust option for scalable quantum computers. The research team, led by RMIT University's Dr Alberto Peruzzo, has for the first time demonstrated that quantum information can be encoded, processed and transferred at a distance with topological circuits on the chip. The research is published in Science Advances.
Kyungsuk Yum, an assistant professor in UTA's Materials Science and Engineering Department, and his doctoral student, Amirali Nojoomi, have developed a process by which 2-D hydrogels can be programmed to expand and shrink in a space- and time-controlled way that applies force to their surfaces, enabling the formation of complex 3-D shapes and motions.
If you're looking into the mouth of a brown bear, which is among the world's top predators, your chances of survival probably aren't good. But a team of Rutgers and other scientists has discovered a technology that rapidly assesses potentially lifesaving antibiotics by using bacteria in saliva from an East Siberian brown bear.
A new wearable ultrasound patch that non-invasively monitors blood pressure in arteries deep beneath the skin could help people detect cardiovascular problems earlier on and with greater precision. In tests, the patch performed as well as some clinical methods to measure blood pressure. Applications include real-time, continuous monitoring of blood pressure changes in patients with heart or lung disease, as well as patients who are critically ill or undergoing surgery.