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Institution

University at Buffalo

EducationBuffalo, New York, United States
About: University at Buffalo is a education organization based out in Buffalo, New York, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 33773 authors who have published 63840 publications receiving 2278954 citations. The organization is also known as: UB & State University of New York at Buffalo.


Papers
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Journal ArticleDOI
TL;DR: The authors decompose the forces that affect survival into industry and firm attributes, and hypothesize that these forces are linked to the life cycle of the firm and the characteristics of demand and the rate and form of technical change.
Abstract: On average, roughly 5-10 percent of the firms in a given market leave that market over the span of a single year. At least so data for a broad range of industries in several economies tell us. What is it, other than random shocks, that determines the probability of survival for a firm in a given market? We start by decomposing the forces that affect survival into industry and firm attributes. Industry attributes, we hypothesize, encompass variables that exert their influence both over time and across markets. The variables that operate over time are defined by the life cycle of the industry. Life cycles of the industry affect mainly the characteristics of demand and the rate and form of technical change. Variations across firms, we hypothesize, arise mainly from learning-by-doing, Darwinian survival of the fittest, and the obsolescence of initial endowments. These variables are linked to the life cycle of the firm. How these industry and firm life cycles define patterns of survival is the story

383 citations

Journal ArticleDOI
TL;DR: It is concluded that the HVLT-R is a valid test of verbal learning and memory that is best suited for use with elderly patients suspected of dementia.
Abstract: The present investigation examined the validity of the revised Hopkins Verbal Learning Test (HVLT-R). In a principal components analysis with varimax rotation, measures of new learning and delayed ...

382 citations

Journal ArticleDOI
TL;DR: Adipocytes play a vital role in defining the ECM environment for normal and tumor-derived ductal epithelial cells and contribute significantly to tumor growth at early stages through secretion and processing of collagen VI.
Abstract: The interactions of transformed cells with the surrounding stromal cells are of importance for tumor progression and metastasis. The relevance of adipocyte-derived factors to breast cancer cell survival and growth is well established. However, it remains unknown which specific adipocyte-derived factors are most critical in this process. Collagen VI is abundantly expressed in adipocytes. Collagen–/– mice in the background of the mouse mammary tumor virus/polyoma virus middle T oncogene (MMTV-PyMT) mammary cancer model demonstrate dramatically reduced rates of early hyperplasia and primary tumor growth. Collagen VI promotes its growth-stimulatory and pro-survival effects in part by signaling through the NG2/chondroitin sulfate proteoglycan receptor expressed on the surface of malignant ductal epithelial cells to sequentially activate Akt and β-catenin and stabilize cyclin D1. Levels of the carboxyterminal domain of collagen VIα3, a proteolytic product of the full-length molecule, are dramatically upregulated in murine and human breast cancer lesions. The same fragment exerts potent growth-stimulatory effects on MCF-7 cells in vitro. Therefore, adipocytes play a vital role in defining the ECM environment for normal and tumor-derived ductal epithelial cells and contribute significantly to tumor growth at early stages through secretion and processing of collagen VI.

382 citations

Journal ArticleDOI
TL;DR: Investigation of gender differences in three facets of the Narcissistic Personality Inventory revealed that observed gender differences were not explained by measurement bias and thus can be interpreted as true sex differences.
Abstract: Despite the widely held belief that men are more narcissistic than women, there has been no systematic review to establish the magnitude, variability across measures and settings, and stability over time of this gender difference. Drawing on the biosocial approach to social role theory, a meta-analysis performed for Study 1 found that men tended to be more narcissistic than women (d = .26; k = 355 studies; N = 470,846). This gender difference remained stable in U.S. college student cohorts over time (from 1990 to 2013) and across different age groups. Study 1 also investigated gender differences in three facets of the Narcissistic Personality Inventory (NPI) to reveal that the narcissism gender difference is driven by the Exploitative/Entitlement facet (d = .29; k = 44 studies; N = 44,108) and Leadership/Authority facet (d = .20; k = 40 studies; N = 44,739); whereas the gender difference in Grandiose/Exhibitionism (d = .04; k = 39 studies; N = 42,460) was much smaller. We further investigated a less-studied form of narcissism called vulnerable narcissism—which is marked by low self-esteem, neuroticism, and introversion—to find that (in contrast to the more commonly studied form of narcissism found in the DSM and the NPI) men and women did not differ on vulnerable narcissism (d = −.04; k = 42 studies; N = 46,735). Study 2 used item response theory to rule out the possibility that measurement bias accounts for observed gender differences in the three facets of the NPI (N = 19,001). Results revealed that observed gender differences were not explained by measurement bias and thus can be interpreted as true sex differences. Discussion focuses on the implications for the biosocial construction model of gender differences, for the etiology of narcissism, for clinical applications, and for the role of narcissism in helping to explain gender differences in leadership and aggressive behavior. Readers are warned against overapplying small effect sizes to perpetuate gender stereotypes.

382 citations

Journal ArticleDOI
TL;DR: A new approach for fingerprint enhancement based on short time Fourier transform (STFT) Analysis is introduced and the algorithm simultaneously estimates all the intrinsic properties of the fingerprints such as the foreground region mask, local ridge orientation and local ridge frequency.

381 citations


Authors

Showing all 34002 results

NameH-indexPapersCitations
Rakesh K. Jain2001467177727
Julie E. Buring186950132967
Anil K. Jain1831016192151
Donald G. Truhlar1651518157965
Roger A. Nicoll16539784121
Bruce L. Miller1631153115975
David R. Holmes1611624114187
Suvadeep Bose154960129071
Ashok Kumar1515654164086
Philip S. Yu1481914107374
Hugh A. Sampson14781676492
Aaron Dominguez1471968113224
Gregory R Snow1471704115677
J. S. Keller14498198249
C. Ronald Kahn14452579809
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202388
2022363
20212,772
20202,695
20192,527
20182,500