We present the gravitational-wave background and its properties focusing on the background from compact binary coalescences in terrestrial detectors. We also introduce the standard data analysis method used to search for this background and discuss its detectability with second and third generation networks of detectors. To illustrate, we first use simple models and then discuss more realistic models based on simulations.
Discover how a simple blood test is transforming diabetes prediction, outperforming complex methods, all thanks to the power of mathematical modeling.
Almost 1 in 5 Indian adults aged 60+ show signs of mild neurocognitive disorder, according to a study.
Given an estimated 138 million adults over 60 years of age in India, these estimates suggest approximately 24 million and 9.9 million older adults in India are living with mild and major neurocognitive disorder, respectively, revealed the study published in the journal PLOS One.
An advanced human heart organoid system can be used to model embryonic heart development under pregestational diabetes-like conditions, researchers report in the journal Stem Cell Reports.
The organoids recapitulate hallmarks of pregestational diabetes-induced congenital heart disease found in mice and humans. The findings also showed that endoplasmic reticulum (ER) stress and lipid imbalance are critical factors contributing to these disorders, which could be ameliorated with exposure to omega-3s.
“The new stem cell-based organoid technology employed will enable physiologically relevant studies in humans, allowing us to bypass animal models and obtain more information about relevant disease mechanisms, accelerating drug discovery and medical translation,” says senior study author Aitor Aguirre of Michigan State University.
Wavelength-selective thermal emitters (WS-TEs) have been frequently designed to achieve desired target emissivity spectra, as in typical emissivity engineering, for broad applications such as thermal camouflage, radiative cooling, and gas sensing, etc.
However, previous designs required prior knowledge of materials or structures for different applications, and the designed WS-TEs usually vary from application to application in terms of materials and structures, thus there is no general design framework for emissivity engineering across different applications. Moreover, previous designs fail to tackle the simultaneous design of both materials and structures, as they either fix materials to design structures or fix structures to select suitable materials.
In a new paper published in Light: Science & Applications, a team of scientists, led by Professor Run Hu from School of Energy and Power Engineering, Huazhong University of Science and Technology, China, and coworkers have proposed a general deep learning framework based on the deep Q-learning network algorithm (DQN) for efficient optimal design of WS-TEs across different applications.
Histopathology describes the process of examining pieces of tissue using a microscope. Light microscopic (LM) examination of tissue helps diagnose several types of cancer by allowing pathologists to view cellular changes within a biopsy sample.
The workload of pathologists has increased in recent years due to policies that encourage screening for early cancer diagnoses. In addition, longer life expectancies and scientific advances have led to an increased number of cancer survivors, further increasing the need for pathology evaluations. Thus, strategies to efficiently utilize the limited pathology resources have become essential to maintaining standards of care and the health and safety of patients.
Digital pathology (DP) has emerged as an alternative method for analyzing tissue samples by stitching together digital images from histopathology slides. Automated slide scanners can rapidly generate these high-resolution images with minimal human interaction. In addition to the speed, DP does not require a microscope, offering remote viewing possibilities. Pathologists and other healthcare professionals can easily share images.
This is a sci-fi documentary, looking at how warp drive technology and warp spaceships work. As well as the negative energy needed to travel at warp speed. The faster than light journey to Mars takes 18.6 seconds, but how long does it take to reach the nearest black hole?
It is a journey showing the future science of space travel, exploration, and future space technology.
Personal inspiration in creating this video comes from: Star Trek: The Next Generation, and baby Groot — Guardians of the Galaxy II.
PATREON
The SpaceX Dragon spacecraft undocked from the space-facing port of the International Space Station’s Harmony module at 9:20 a.m. EST over the Pacific Ocean, west of Ecuador, to complete the third all-private astronaut mission to the orbiting laboratory, Axiom Mission 3 (Ax-3).
Dragon is slowly maneuvering away from the orbital laboratory into an orbital track that will return the astronaut crew and its cargo safely to Earth, targeting a splashdown off the coast of Daytona, Florida, at approximately 8:30 a.m. EST Friday, Feb. 9.
Ax-3 astronauts Michael López-Alegría, Walter Villadei, Marcus Wandt, and Alper Gezeravci will complete 18 days aboard the orbiting laboratory at the conclusion of their mission. The SpaceX Dragon will return to Earth with more than 550 pounds of science and supplies, including NASA experiments and hardware.
