Advocates of the fat-but-fit approach to obesity treatment argue that improving fitness, even in the absence of weight loss, can help reduce the risk of cardiovascular disease and mortality.
New research suggests that improving fitness is at least as effective as weight loss for staving off obesity-related cardiovascular disease and mortality risks.
Circa 2021
A crime is a deliberate act that can cause physical or psychological harm, as well as property damage or loss, and can lead to punishment by a state or other authority according to the severity of the crime. The number and forms of criminal activities are increasing at an alarming rate, forcing agencies to develop efficient methods to take preventive measures. In the current scenario of rapidly increasing crime, traditional crime-solving techniques are unable to deliver results, being slow paced and less efficient. Thus, if we can come up with ways to predict crime, in detail, before it occurs, or come up with a “machine” that can assist police officers, it would lift the burden of police and help in preventing crimes. To achieve this, we suggest including machine learning (ML) and computer vision algorithms and techniques.
Circa 2019
Crime causes significant damage to the society and property. Different kinds of physical or direct methods are devised by the law and order department to spot out the criminals involved in the crime. This techniques will explore the evidences at crime site. For instance if it finds a fingerprint then the system will capture and send it to forensic department for fingerprint matching, which can be later used for identifying the suspects or criminals by investigations etc. Yet, it is a huge challenge for them to find the criminal due to less or no evidence and incorrect information, which can change the direction of investigation to the end. This paper proposes a data analysis approach to help the police department by giving them first-hand information about the suspects. It automates the manual process for finding criminal and future crime spot by using various techniques such as pattern matching, biometric and crime analytics. Based on the availability of information, the system is able to produce the expected accuracy.
Even though it’s now possible to 3D-print foods into millimeter-precise shapes and forms, cooking those printed foods is still a fairly inexact process. Scientists are trying to change that, by using lasers to cook foods to specific optimized standards.
Led by PhD student Jonathan Blutinger, a team at Columbia University started by pureeing raw chicken then extruding it through the nozzle of a 3D food printer, creating samples measuring 3 mm thick by about one square inch (645 sq mm) in area. They then precisely heated that chicken via pulses of either blue or near-infrared laser light, at wavelengths of 445 nanometers for the former and either 980 nanometers or 10.6 micrometers for the latter.
The laser moved across the meat in various trochoidal spiral patterns, with cooking times ranging from five to 14 minutes. An infrared camera continuously measured the surface temperature of the chicken, while eight embedded thermistors monitored its internal temperature.
Dr. Ryuki Hyodo. Credit: JAXA
At ISAS, researchers watched the progress with particularly keen attention. In just a few years from now, we are about to attempt the same feat of visiting the Martian sphere. But for us, the destination is not the red planet but its two small moons. The Martian Moons eXploration (MMX) mission is scheduled to launch in the fiscal year of 2024. Largely ignoring the looming presence of Mars, the spacecraft will focus its suite of observing instruments on the moons, Phobos and Deimos. The mission plans to land on Phobos and collect samples to bring back to Earth in 2029. It is these barren moons that scientists believe contain evidence of the early days of the Solar System, and how habitability may have flourished and died on the planet below.
Dr. Ryuki Hyodo is researcher in the division of Solar System Sciences at ISAS, working on simulations of how the moons formed. Hyodo holds one of the institute’s independent ITYF (International Top Young Fellowship) positions; a program designed to support and promote talented researchers from around the world in the early stage of their careers. He explains that the first mystery surrounding Phobos and Deimos is how they came to be there at all. In fact, there are two main competing theories for how the moons formed.
From ecosystem development to talent, much effort is still required for practical implementation of edge AI.
By Pushkar Apte and Tom Salmon
Rapid advances in artificial intelligence (AI) have made this technology important for many industries, including finance, energy, healthcare, and microelectronics. AI is driving a multi-trillion-dollar global market while helping to solve some tough societal problems such as tracking the current pandemic and predicting the severity of climate-driven events like hurricanes and wildfires.
SAN JOSE (KPIX) — Online shopping giant Amazon is ramping up deployment of its non-contact payment dubbed, “Amazon One,” announcing more than 60 locations from New York to California will feature the touchless devices.
The first such system debuted in the Bay Area at the Amazon store in San Jose on Santana Row, Tuesday morning.
The n-queens problem is about finding how many different ways queens can be placed on a chessboard so that none attack each other. A mathematician has now all but solved it.
FedEx Corp. and self-driving vehicle startup Aurora Innovation Inc. are launching a pilot program for autonomous-truck shipments between Dallas and Houston, with the companies announcing Wednesday what they called a first-of-its-kind partnership involving the two companies and a truck maker.
“This is an exciting, industry-first collaboration that will work toward enhancing the logistics industry through safer, more efficient transportation of goods,” said Rebecca Yeung, vice president of advanced technology and innovation at FedEx FDX,-9.12% 0 in a news release.
Cancer heterogeneity impacts therapeutic response, driving efforts to discover over-arching rules that supersede variability. Here, we define pan-cancer binary classes based on distinct expression of YAP and YAP-responsive adhesion regulators. Combining informatics with in vivo and in vitro gain-and loss-of-function studies across multiple murine and human tumor types, we show that opposite pro-or anti-cancer YAP activity functionally defines binary YAPon or YAPoff cancer classes that express or silence YAP, respectively. YAPoff solid cancers are neural/neuroendocrine and frequently RB1−/−, such as retinoblastoma, small cell lung cancer, and neuroendocrine prostate cancer. YAP silencing is intrinsic to the cell of origin, or acquired with lineage switching and drug resistance. The binary cancer groups exhibit distinct YAP-dependent adhesive behavior and pharmaceutical vulnerabilities, underscoring clinical relevance. Mechanistically, distinct YAP/TEAD enhancers in YAPoff or YAPon cancers deploy anti-cancer integrin or pro-cancer proliferative programs, respectively. YAP is thus pivotal across cancer, but in opposite ways, with therapeutic implications.
Pearson et al. demonstrate that YAP/TAZ, well-known oncogenes, are tumor suppressors in a large group of cancers. Pan-cancer analyses reveal that opposite YAP/TAZ expression, adhesive behavior, and oncogenic versus tumor suppressor YAP/TAZ activity functionally stratify binary cancer classes, which interchange to drive drug resistance. Contrasting YAPoff/YAPon classes exhibit unique vulnerabilities, facilitating therapeutic selection.
