Results 81 to 90 of about 160,758 (264)

Gaussian Process Modeling Coronal X-Ray Variability of Active Galactic Nuclei

The Astrophysical Journal
The corona is an integral component of active galactic nuclei (AGNs) that can produce the X-ray emission. However, many of its physical properties and the mechanisms powering this emission remain a mystery.
Haiyun Zhang, Dahai Yan, Li Zhang, Niansheng Tang   +3 more
doaj   +1 more source

Genomics and data science: an application within an umbrella

Genome Biology, 2019
Data science allows the extraction of practical insights from large-scale data. Here, we contextualize it as an umbrella term, encompassing several disparate subdomains.
Fábio C. P. Navarro, Hussein Mohsen, Chengfei Yan, Shantao Li, Mengting Gu, William Meyerson, Mark Gerstein   +6 more
doaj   +1 more source

Wet Ball Milling Synthesis of Iron Oxide Nanoparticles for High‐Efficiency, Controllable Magnetic Hyperthermia in Ovarian Cancer

Advanced Materials Technologies, EarlyView.
A wet ball‐milling method is presented to synthesize iron magnetic nanoparticles and evaluate their magnetic hyperthermia performance. Optimized particles (∼270 nm, Ms ∼114 emu/g) achieve ∼50°C heating under clinically safe alternating magnetic fields, while pulsed‐field operation enables controlled temperature regulation (∼30°C).
Shahriar Mostufa, Bahareh Rezaei, Md Shahriar, Karla Mercedes Paz González, Anil Kumar, Changxue Xu, Yun Suk Eo, Ioannis H. Karampelas, Jenifer Gómez‐Pastora, Rui He, Kai Wu   +10 more
wiley   +1 more source

Low frequency radio astronomy instrumentation, analysis, modelling and data publication

, 2022
Low frequency radio emissions (
openaire   +1 more source

2D Copper MOF Membranes with Precise Pores for Ionic Memory

Advanced Science, EarlyView.
 . ABSTRACT Biological ion channels play a critical role in the complex physiological processes of living organisms. Inspired by these natural systems, we demonstrate the fabrication of ultrathin 2D copper‐based metal‐organic framework (CuMOF) films and their application to mimic key functionalities of biological membranes. Using a liquid–air interface
Hiran Jyothilal, Raj Kumar Gogoi, Yuchen Liu, Vikas Sharma, Solleti Goutham, Michael Hutton, Rachel C. Kilbride, Daniel T.W. Toolan, Ashok Keerthi, Boya Radha   +9 more
wiley   +1 more source

dolphin: A Fully Automated Forward-modeling Pipeline Powered by Artificial Intelligence for Galaxy-scale Strong Lenses

The Astrophysical Journal
Strong gravitational lensing is a powerful tool for probing the internal structure and evolution of galaxies, the nature of dark matter, and the expansion history of the Universe, among many other scientific applications.
Anowar J. Shajib, Nafis Sadik Nihal, Chin Yi Tan, Vedant Sahu, Simon Birrer, Tommaso Treu, Joshua Frieman   +6 more
doaj   +1 more source

Lifshitz Transition in Correlated Topological Semimetals

Advanced Science, EarlyView.
Theoretical calculations reveal that in YPtBi and GdPtBi, strong electronic correlations shift topological Dirac nodes away from the Fermi level by forming large hole pockets. This effect is sensitive to temperature and arises from interactions among 4d or 4f electrons, offering insights into Fermi surface engineering in quantum materials.
Byungkyun Kang, Myoung‐Hwan Kim, Chul Hong Park, Anderson Janotti, Eunja Kim   +4 more
wiley   +1 more source

A Multibranch Deep Neural Network for the Superresolution of Solar Magnetograms

The Astrophysical Journal Supplement Series
The existing superresolution (SR) models for solar magnetograms are mostly borrowed from the SR models for natural images. They are less effective for processing solar magnetograms with a very large dynamic range and very rich image features.
Fengping Dou, Long Xu, Dong Zhao, Zhixiang Ren   +3 more
doaj   +1 more source

Study of Free‐Space Optical Quantum Network: Review and Prospectives

Advanced Science, EarlyView.
Free from the constraints of fiber connections, free‐space quantum network enables longer and more flexible quantum network connections. This review summarizes and comparatively analyzes free‐space quantum network experiments based on ground stations, satellites, and mobile platforms.
Hua‐Ying Liu, Zhenda Xie, Shining Zhu
wiley   +1 more source

Mapping Galaxy Images across Ultraviolet, Visible, and Infrared Bands Using Generative Deep Learning

The Astrophysical Journal
We demonstrate that generative deep learning can translate galaxy observations across ultraviolet, visible, and infrared photometric bands. Leveraging mock observations from the Illustris simulations, we develop and validate a supervised image-to-image ...
Youssef Zaazou, Alex Bihlo, Terrence S. Tricco   +2 more
doaj   +1 more source