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Institution

Tulane University

EducationNew Orleans, Louisiana, United States
About: Tulane University is a education organization based out in New Orleans, Louisiana, United States. It is known for research contribution in the topics: Population & Blood pressure. The organization has 24478 authors who have published 47205 publications receiving 1944993 citations. The organization is also known as: University of Louisiana.


Papers
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Journal ArticleDOI
TL;DR: An exact formal Kohn-Sham scheme is derived with the help of perturbation theory through the introduction of a basis set and an exact basis set ``exchange-only'' method is obtained.
Abstract: An exact formal Kohn-Sham scheme is derived with the help of perturbation theory. Through the introduction of a basis set this Kohn-Sham scheme can be used to perform, in principle, exact Kohn-Sham calculations. As a demonstration, only zeroth- and first-order terms in the underlying perturbation theory are considered. As a result an exact basis set ``exchange-only'' method is obtained. The presented perturbation theory expansions of the exchange-correlation energy and potential may serve as a starting point for the development of new approximate exchange-correlation functionals based on Kohn-Sham orbitals and eigenvalues and may be used to check conventional exchange-correlation functionals. The formal structures of the ab initio and the introduced density-functional treatment of electronic systems are compared.

474 citations

Journal ArticleDOI
TL;DR: The authors explored the interactive effects of procedural justice and outcome negativity on the victims of job layoffs, on survivors, and on lame ducks, employees who knew they would be fired by their managers.
Abstract: Three studies respectively explored the interactive effects of procedural justice and outcome negativity on the victims of job layoffs, on survivors, and on lame ducks, employees who knew they woul...

474 citations

Journal ArticleDOI
TL;DR: This research presents a meta-analysis of 129 cases of meningitis in mice over a 12-month period and shows clear trends in progeria and in particular in cases of high prolapse preoperatively and during the course of pregnancy.
Abstract: Demographic data clearly demonstrate that the percentage of the population in the older age group is increasing. Androgen deficiency in the aging male has become a topic of increasing interest and debate throughout the world. Cross-sectional and longitudinal data indicate that the testosterone falls progressively with age and that a significant percentage of men over the age of 60 years have serum testosterone levels that are below the lower limits of young adult (age 20–30 years) men (1–4). The principal questions raised by these observations are whether older hypogonadal men will benefit from testosterone treatment and what will be the risks associated with such intervention. The past decade has brought evidence of benefit of androgen treatment of hypogonadal men on multiple target organs and the recent studies show short-term beneficial effects of testosterone in older men that are similar to those in younger men. This has been comprehensively reviewed and summarized by the Institute of Medicine in ‘Testosterone and Aging: Clinical Research Directions’ (5). Long-term data on the effects of testosterone treatment in the older population are limited mainly to effects on body composition and bone mass (6–11). Key questions of the effects of testosterone on patient reported outcomes and functional benefits that may retard physical or mental frailty of the elderly or improve the quality of life are not yet available. Specific risk data on the prostate and cardiovascular systems are needed.

473 citations

Journal ArticleDOI
Paul L. Nunez1
TL;DR: A local/global dynamic theory that is consistent with EEG data and the proposed conceptual framework is outlined and suggests what large-scale quantitative theories of neocortical dynamics may be like when more accurate treatment of local and nonlinear effects is achieved.
Abstract: A general conceptual framework for large-scale neocortical dynamics based on data from many laboratories is applied to a va- riety of experimental designs, spatial scales, and brain states. Partly distinct, but interacting local processes (e.g., neural networks) arise from functional segregation. Global processes arise from functional integration and can facilitate (top down) synchronous activity in re- mote cell groups that function simultaneously at several different spatial scales. Simultaneous local processes may help drive (bottom up) macroscopic global dynamics observed with electroencephalography (EEG) or magnetoencephalography (MEG). A local/global dynamic theory that is consistent with EEG data and the proposed conceptual framework is outlined. This theory is neutral about properties of neural networks embedded in macroscopic fields, but its global component makes several qualitative and semiquantitative predictions about EEG measures of traveling and standing wave phenomena. A more general "metatheory" suggests what large-scale quantitative theories of neocortical dynamics may be like when more accurate treatment of local and nonlinear effects is achieved. The theory describes the dynamics of excitatory and inhibitory synaptic action fields. EEG and MEG provide large-scale estimates of modulation of these synaptic fields around background levels. Brain states are determined by neuromodulatory control parameters. Purely local states are dominated by local feedback gains and rise and decay times of postsynaptic potentials. Dominant local frequen- cies vary with brain region. Other states are purely global, with moderate to high coherence over large distances. Multiple global mode frequencies arise from a combination of delays in corticocortical axons and neocortical boundary conditions. Global frequencies are iden- tical in all cortical regions, but most states involve dynamic interactions between local networks and the global system. EEG frequencies may involve a "matching" of local resonant frequencies with one or more of the many, closely spaced global frequencies.

473 citations

Journal ArticleDOI
TL;DR: The management of diabetes in patients with liver disease is theoretically complicated by liver-related alterations in drug metabolism, potential interactions between the drugs, and a low, albeit low, prevalence of diabetes.
Abstract: It is estimated that 20.8 million people, i.e., 7.0% of the U.S. population, have diabetes (1). Type 2 diabetes, with its core defects of insulin resistance and relative insulin deficiency, accounts for 90–95% of those with the disease. Another 5.2 million people are estimated to have undiagnosed type 2 diabetes. It is the sixth leading cause of death (1) in the U.S. and accounts for 17.2% of all deaths for those aged >25 years (2). Liver disease is an important cause of death in type 2 diabetes. In the population-based Verona Diabetes Study (3), cirrhosis was the fourth leading cause of death and accounted for 4.4% of diabetes-related deaths. The standardized mortality ratio (SMR), i.e., the relative rate of an event compared with the background rate, for cirrhosis was 2.52 compared with 1.34 for cardiovascular disease (CVD). In another prospective cohort study (4), cirrhosis accounted for 12.5% of deaths in patients with diabetes. Diabetes, by most estimates, is now the most common cause of liver disease in the U.S. Cryptogenic cirrhosis, of which diabetes is, by far, the most common cause, has become the third leading indication for liver transplantation in the U.S. (5,6). Virtually the entire spectrum of liver disease is seen in patients with type 2 diabetes. This includes abnormal liver enzymes, nonalcoholic fatty liver disease (NAFLD), cirrhosis, hepatocellular carcinoma, and acute liver failure. In addition, there is an unexplained association of diabetes with hepatitis C. Finally, the prevalence of diabetes in cirrhosis is 12.3–57% (7). Thus, patients with diabetes have a high prevalence of liver disease and patients with liver disease have a high prevalence of diabetes. The management of diabetes in patients with liver disease is theoretically complicated by liver-related alterations in drug metabolism, potential interactions between the drugs, and a low, albeit …

473 citations


Authors

Showing all 24722 results

NameH-indexPapersCitations
Walter C. Willett3342399413322
JoAnn E. Manson2701819258509
Frank B. Hu2501675253464
Eric B. Rimm196988147119
Krzysztof Matyjaszewski1691431128585
Nicholas J. White1611352104539
Tien Yin Wong1601880131830
Tomas Hökfelt158103395979
Thomas E. Starzl150162591704
Geoffrey Burnstock141148899525
Joseph Sodroski13854277070
Glenn M. Chertow12876482401
Darwin J. Prockop12857687066
Kenneth J. Pienta12767164531
Charles Taylor12674177626
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202388
2022372
20212,622
20202,491
20192,038
20181,795