Short-term effects of public bailouts of private firms Thesis (M.P.P.)--Georgetown University, 2010.; Includes bibliographical references.; Text (Electronic thesis) in PDF format. Using event study methodology,... LM Orlowski,BS Washington - Georgetown University 被引量: 5发表: 2010年 ...
Filter paper loaded with solvent was used as a control before and after presenting the stimuli, providing a baseline of each antenna. The stimuli were added to the air stream in increasing concentration at an interval of at least 30 s, to avoid sensory adaptation during recordings....
The results are discussed in terms of a storage system in which items and their spatial locations are organized within a temporal format. Both experiments showed superior combined probe performance, demonstrating that short-term retrieval is not limited to the use of one type of cue at a time....
The statistical structure of the environment is often important when making decisions. There are multiple theories of how the brain represents statistical structure. One such theory states that neural activity spontaneously samples from probability distr
This repository contains the code for the ACM Web Conference (WWW') 2023 paper titled "Learning Long- and short-term representations for Temporal Knowledge Graph Reasoning". Usage Generate data You need to run the file generate_data.py to generate the graph data needed for our model: python ...
Understanding the function of visual short-term memory: transsaccadic memory, object correspondence, and gaze correction. Visual short-term memory (VSTM) has received intensive study over the past decade, with research focused on VSTM capacity and representational format. Yet,... A Hollingworth,AM...
The vast majority of documents in the location space are indexed in the long-term portion in a format optimized for lookup, while new documents are immediately searchable in the easily updatable short-term portion, which has a different format. The long-term portion is updated with indexing ...
The electronic touch screen version of the WOMAC (e-WOMAC) has been previously shown to be highly correlated with the original paper format. However, whether the e-WOMAC would be suitable for monitoring the effects of drug treatment is unknown.AimTo validate the longitudinal use of the e-...
To address this, this paper proposes a mathematical analytical model weight optimization method to analyze the weight coefficients of each IMF component. Subsequently, an optimized HHT-NAR daily-level short-term wind speed prediction model is established. Firstly, the complementary ensemble empirical ...
In this paper, we design and apply the Long Short-Term Memory (LSTM) neural network approach to predict several financial classes’ time series under COVID-19 pandemic crisis period. We use the S&P GSCI commodity indices and their sub-indices and con