Lifeboat Foundation

A LK99 researcher from Hubei, China, said that his paper might not be released before the Lunar New Year because of patent issues, announced the main findings of the paper, which detected three specific magnetic pointing superconductivity in the samples. He also described improved synthesis methods.

The LK99 researcher from Hubei, China, who said that the paper might not be released before the Lunar New Year because of patent issues, announced the main findings of the paper, which detected three specific magnetic pointing superconductivity in the samples. pic.twitter.com/7ytSWO0zN2

— peoplewar2 (@REDLFLAG) February 1, 2024

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.

Join the discussion on this paper page.

We’re one step further down the path to limitless clean power.

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.

Continue reading “Heart organoids simulate pregestational diabetes-induced congenital heart disease” »

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.