Results 131 to 140 of about 9,321,197 (330)
What explains the growth in commodity derivatives? [PDF]
This article documents the massive increase in trading in commodity derivatives over the past decade—growth which far outstrips the growth in commodity production and the need for derivatives to hedge risk by commercial producers and users of commodities.
Parantap Basu, William T. Gavin
core
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone +11 more
wiley +1 more source
Liquidity, Volatility, and Equity Trading Costs Across Countries and Over Time [PDF]
Actual investment performance reflects the underlying strategy of the portfolio manager and the execution costs incurred in realizing those objectives.
Ananth Madhavan, Ian Domowitz, Jack Glen
core
MOFs and COFs in Electronics: Bridging the Gap between Intrinsic Properties and Measured Performance
Metal‐organic frameworks (MOFs) and covalent organic frameworks (COFs) hold promise for advanced electronics. However, discrepancies in reported electrical conductivities highlight the importance of measurement methodologies. This review explores intrinsic charge transport mechanisms and extrinsic factors influencing performance, and critically ...
Jonas F. Pöhls, R. Thomas Weitz
wiley +1 more source
To solve the challenges of imbalanced distribution of benefits among various interested parties during the cooperative operation of multi-microgrids under the same distribution network.
WANG Hui +4 more
doaj +1 more source
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore +7 more
wiley +1 more source
Grading Trump’s China Trade Strategy
Although much has been written about the ongoing trade war between China and the United States from 2017 to early 2019, this literature omits detailed examination of the substance of the US trade complaints about China. This article seeks to fill that gap in the literature by unpacking the 20 most prominent complaints that are being levelled by the ...
openaire +2 more sources
Financial trading systems: Is recurrent reinforcement the via? [PDF]
In this paper we propose a financial trading system whose trading strategy is developed by means of an artificial neural network approach based on a learning algorithm of recurrent reinforcement type.
Francesco Bertoluzzo, Marco Corazza
core
Here, we present a high‐density PEDOT eutectogel electrode array for enhanced body surface gastric mapping. Silver electrodes are blade‐coated onto flexible substrates, followed by electrogelation of PEDOT:PSS and the deposition of a PEDOT:LS eutectogel.
Christopher Slaughter +8 more
wiley +1 more source
In response to the unpredictable fluctuations in the global economic landscape, and with the aim of mitigating overnight risks, the stock market has seen a substantial increase in the number of day traders.
Min-Chih Hung, An-Pin Chen, Wan-Ting Yu
doaj +1 more source

