Recently, Popular Science magazine once again selected the top 10 young faces of the most innovative thinking of the year from researchers in the US science and engineering field. Starz 噶: Protect your hardware from hackers The chip contains a series of functional modules, each of which performs a specific task, and the central module controls the data transfer between the modules. Hackers pretend that workers lurk into the factory, brushing up some malicious firmware into the chip, and in the future will control or destroy the various devices implanted in the chip. New York University's 34-year-old brother developed a new strategic approach to hardware hackers: randomizing the different modules of the chip to different factories, hackers could not get a complete chip containing all the modules, and the "sneak-in" plan could not be implemented. Now, large companies such as Boeing have begun to use this technology to protect chip security. Danielle Bassett: Creating a new field of neuroscience The traditional idea of ​​neuroscience research is to study the specific functions of different regions of the brain and not to study the brain as a whole. The 34-year-old neuroscientist Bassett of the University of Pennsylvania challenged this traditional thinking and created a new field of research - network neuroscience. She believes that the brain is not a constant collection of brain regions, each brain is a dynamic network of neurons, so the internal structure is changing rapidly, and the function is incredibly "flexible." Connor Walsh: Let the Green Man become Iron Man Over the years, metal frames have made robotic garments too heavy and can't fit perfectly with the human body, wearing like a lock in a metal coat. In order to turn the Tin Man into a high-tech Iron Man, Harvard's 34-year-old Walsh led the team to use nylon and elastic fiber materials to sew new soft robotic outfits. New clothing can reduce walking energy consumption by 7%, which is good news for soldiers who need to carry heavy materials for long distances and people with limited mobility. Sochi Salia: Designing a new algorithm for predicting disease Jolie, 33, of Johns Hopkins University, likes to design algorithms. She has been obsessed with writing and modifying program passwords since she was a child. When she grew up, she developed this hobby into a profession. Salia and her team studied the electronic medical records of 16,234 septic shock patients and identified 27 variables including urine test results and white blood cell count. The new algorithm developed can accurately predict 85% of cases before infection damages organs, providing a tool that can be alerted at the first time. Can be used directly to maintain the integrity of cell morphology Guidelines recommend cell preservation fluids for sample preservation and transport. It can be used for sputum, bronchoscopic alveolar lavage fluid, pleural fluid and other liquid samples. Sample storage tubes,Medical disposable storage tubes,Disposable medical consumables Jiangsu iiLO Biotechnology Co., Ltd. , https://www.iilogene.com