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I provide an observational review of the properties of starburst-driven galactic superwinds, focusing mainly on recent results pertinent to the transport of metals and energy into the IGM. Absorption-line studies are providing rich…

Astrophysics · Physics 2007-05-23 D. K. Strickland

Global medium-range weather forecasting is critical to decision-making across many social and economic domains. Traditional numerical weather prediction uses increased compute resources to improve forecast accuracy, but cannot directly use…

We report the first observation of the Mach cones excited by a larger microparticle (projectile) moving through a cloud of smaller microparticles (dust) in a complex plasma with neon as a buffer gas under microgravity conditions. A…

Electrical energy production based on wind power has become the most popular renewable resources in the recent years because it gets reliable clean energy with minimum cost. The major challenge for wind turbines is the electrical and the…

Systems and Control · Computer Science 2014-09-25 Saad Chakkor , Mostafa Baghouri , Abderrahmane Hajraoui

Although microbunching-instability (MBI) based synchrotron-radiation facilities do not exist yet, the prominent presence of this space-charge driven instability in the high-brightness accelerator facilities promotes the ongoing worldwide…

Accelerator Physics · Physics 2021-04-09 Atoosa Meseck

Access to large corpora with strongly labelled sound events is expensive and difficult in engineering applications. Much research turns to address the problem of how to detect both the types and the timestamps of sound events with weak…

Sound · Computer Science 2021-01-21 Yuzhuo Liu , Hangting Chen , YunWang , Pengyuan Zhang

Postprocessing ensemble weather predictions to correct systematic errors has become a standard practice in research and operations. However, only few recent studies have focused on ensemble postprocessing of wind gust forecasts, despite its…

Machine Learning · Statistics 2022-03-14 Benedikt Schulz , Sebastian Lerch

The new generation of wireless technologies, fitness trackers, and devices with embedded sensors can have a big impact on healthcare systems and quality of life. Among the most crucial aspects to consider in these devices are the accuracy…

Machine Learning · Computer Science 2022-01-14 Matteo Antonio Scrugli , Bojan Blažica , Paolo Meloni

Storm-scale convection-allowing models (CAMs) are an important tool for predicting the evolution of thunderstorms and mesoscale convective systems that result in damaging extreme weather. By explicitly resolving convective dynamics within…

While Transformer has become the de-facto standard for speech, modeling upon the fine-grained frame-level features remains an open challenge of capturing long-distance dependencies and distributing the attention weights. We propose…

Computation and Language · Computer Science 2023-05-30 Chen Xu , Yuhao Zhang , Chengbo Jiao , Xiaoqian Liu , Chi Hu , Xin Zeng , Tong Xiao , Anxiang Ma , Huizhen Wang , JingBo Zhu

Over the last decade, memristive devices have been widely adopted in computing for various conventional and unconventional applications. While the integration density, memory property, and nonlinear characteristics have many benefits,…

Emerging Technologies · Computer Science 2017-04-21 Dat Tran , Christof Teuscher

In recent years, probabilistic forecasts techniques were proposed in research as well as in applications to integrate volatile renewable energy resources into the electrical grid. These techniques allow decision makers to take the…

Machine Learning · Statistics 2024-10-30 Jens Schreiber , Bernhard Sick

This work presents a new toolkit for describing the acoustic properties of the ocean environment before, during and after a sound event caused by an underwater seismic air-gun. The toolkit uses existing sound measures, but uniquely applies…

Sound · Computer Science 2016-07-29 Peter Dugan , Melania Guerra , Dimitri Ponirakis , Holger Klinck , Christopher W. Clark

We consider the prediction of weak effects in a multiple-output regression setup, when covariates are expected to explain a small amount, less than $\approx 1%$, of the variance of the target variables. To facilitate the prediction of the…

Electricity systems are experiencing increased effects of randomness and variability due to emerging stochastic assets. The increased effects introduce new uncertainties into power systems that can impact system operability and reliability.…

Systems and Control · Electrical Eng. & Systems 2022-11-10 Naeem Turner-Bandele , Amritanshu Pandey , Larry Pileggi

In this article we study two problems that arise when using timing and amplitude estimates from a network of interferometers (IFOs) to evaluate the direction of an incident gravitational wave burst (GWB). First, we discuss an angular bias…

General Relativity and Quantum Cosmology · Physics 2009-01-08 J. Markowitz , M. Zanolin , L. Cadonati , E. Katsavounidis

Acoustic microstreaming has several industrial, therapeutic, and biomedical applications - Acoustic cleaning, micromixing, microfluid transport, hemolysis, sonoporation. The acoustic microstreaming due to the oscillation of ultrasound…

Fluid Dynamics · Physics 2022-01-19 Nima Mobadersany

With the development of nanotechnology, the measurement of electrical properties in local area of materials and devices has become a great need. Although a lot kind of scanning probe microscope have been developed for satisfying the…

Other Computer Science · Computer Science 2008-02-22 Y. Ju , T. Kobayashi , H. Soyama

The STEREO/WAVES instrument has detected a very large number of intense voltage pulses. We suggest that these events are produced by impact ionisation of nanoparticles striking the spacecraft at a velocity of the order of magnitude of the…

Solar and Stellar Astrophysics · Physics 2009-04-04 N. Meyer-Vernet , M. Maksimovic , A. Czechowski , I. Mann , I. Zouganelis , K. Goetz , M. L. Kaiser , O. C. St. Cyr , J. L. Bougeret , S. D. Bale

The short-term reliability evaluation techniques provide a rational approach for risk-informed decision making during power system operation. The existing reliability assessment techniques involve large computational burden and therefore…

Signal Processing · Electrical Eng. & Systems 2020-08-05 O. A. Ansari , S. M. Mazhari , Y. Gong , C. Y. Chung
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