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Institution

University of Alabama

EducationTuscaloosa, Alabama, United States
About: University of Alabama is a education organization based out in Tuscaloosa, Alabama, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 27323 authors who have published 48609 publications receiving 1565337 citations. The organization is also known as: Alabama & Bama.


Papers
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Journal ArticleDOI
TL;DR: This article examined whether positive and negative money-supply shocks have symmetric effects on output, and found that positive money supply shocks do not have an effect on output while negative ones do have an impact on output.
Abstract: This paper examines whether positive and negative money-supply shocks have symmetric effects on output. The results are consistent with the hypothesis that positive money-supply shocks do not have an effect on output, while negative money-supply shocks do have an effect on output. This finding is independent of whether or not expected money is assumed to affect output. The results reported in this paper imply that the Fed could increase the growth rate of real output by reducing the standard deviation of unexpected changes in the money supply.

583 citations

Journal ArticleDOI
TL;DR: In this paper, a historical light curve of the BL Lacertae object OJ 287 is constructed in the optical V band using observations between 1890 and the present using a computer simulation, and probable masses of 5 billion solar and 20 million solar are determined for the two objects based on indirect evidence.
Abstract: A historical light curve of the BL Lacertae object OJ 287 is constructed in the optical V band using observations between 1890 and the present The curve exhibits periodic outbursts at intervals of 116 yr or 9 yr The individual outbursts show an initial maximum with decaying submaxima at intervals of about 1 month It is proposed that these characteristics are caused by a binary in the nucleus of OJ 287, with the binary members having an accretion disk around them The outbursts at 9-yr intervals would be caused by the tidal action of the companion on the disk of the larger black hole A computer simulation is used to demonstrate that the inflow into the center of such a disk during the repeated periastron passages of a companion will produce an outburst similar to the ones observed Based on indirect evidence, probable masses of 5 billion solar and 20 million solar are determined for the two objects 38 references

582 citations

Journal ArticleDOI
TL;DR: A comprehensive survey of the applications of DL algorithms for different network layers, including physical layer modulation/coding, data link layer access control/resource allocation, and routing layer path search, and traffic balancing is performed.
Abstract: As a promising machine learning tool to handle the accurate pattern recognition from complex raw data, deep learning (DL) is becoming a powerful method to add intelligence to wireless networks with large-scale topology and complex radio conditions. DL uses many neural network layers to achieve a brain-like acute feature extraction from high-dimensional raw data. It can be used to find the network dynamics (such as hotspots, interference distribution, congestion points, traffic bottlenecks, spectrum availability, etc.) based on the analysis of a large amount of network parameters (such as delay, loss rate, link signal-to-noise ratio, etc.). Therefore, DL can analyze extremely complex wireless networks with many nodes and dynamic link quality. This paper performs a comprehensive survey of the applications of DL algorithms for different network layers, including physical layer modulation/coding, data link layer access control/resource allocation, and routing layer path search, and traffic balancing. The use of DL to enhance other network functions, such as network security, sensing data compression, etc., is also discussed. Moreover, the challenging unsolved research issues in this field are discussed in detail, which represent the future research trends of DL-based wireless networks. This paper can help the readers to deeply understand the state-of-the-art of the DL-based wireless network designs, and select interesting unsolved issues to pursue in their research.

580 citations

Journal ArticleDOI
TL;DR: Only a minority of participants with MDD received minimally adequate treatment: 1 in 5 people in high-income and 1 in 27 in low-/lower-middle-income countries.
Abstract: Background Major depressive disorder (MDD) is a leading cause of disability worldwide. Aims To examine the: (a) 12-month prevalence of DSM-IV MDD; (b) proportion aware that they have a problem needing treatment and who want care; (c) proportion of the latter receiving treatment; and (d) proportion of such treatment meeting minimal standards. Method Representative community household surveys from 21 countries as part of the World Health Organization World Mental Health Surveys. Results Of 51 547 respondents, 4.6% met 12-month criteria for DSM-IV MDD and of these 56.7% reported needing treatment. Among those who recognised their need for treatment, most (71.1%) made at least one visit to a service provider. Among those who received treatment, only 41.0% received treatment that met minimal standards. This resulted in only 16.5% of all individuals with 12-month MDD receiving minimally adequate treatment. Conclusions Only a minority of participants with MDD received minimally adequate treatment: 1 in 5 people in high-income and 1 in 27 in low-/lower-middle-income countries. Scaling up care for MDD requires fundamental transformations in community education and outreach, supply of treatment and quality of services.

579 citations

Journal ArticleDOI
TL;DR: A gene expression profile identified from an experimental model of colon cancer metastasis predicted cancer recurrence and death, independently of conventional measures, in patients with colon cancer.

578 citations


Authors

Showing all 27508 results

NameH-indexPapersCitations
Jasvinder A. Singh1762382223370
Hongfang Liu1662356156290
Ian J. Deary1661795114161
Yongsun Kim1562588145619
Dong-Chul Son138137098686
Simon C. Watkins13595068358
Kenichi Hatakeyama1341731102438
Conor Henderson133138788725
Peter R Hobson133159094257
Tulika Bose132128588895
Helen F Heath132118589466
James Rohlf131121589436
Panos A Razis130128790704
David B. Allison12983669697
Eduardo Marbán12957949586
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202372
2022357
20212,703
20202,759
20192,602
20182,411