Results 251 to 260 of about 79,906 (309)
Chemical Characterization and Aquatic Toxicity of Firefighting Runoff-Linking Organic Profiling to Multi-Trophic Bioassays in the One Health Framework. [PDF]
Trawińska A +4 more
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Liposome-Based Bioassays [PDF]
This review highlights the potential of using liposomes in bioassays. Liposomes consist of nano- or micro-sized, synthetically constructed phospholipid vesicles.
Jacopo Sforzi +2 more
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Methods, 2000
Bioassays constitute a unique approach to determine the functional aspects of gonadotropins. Indeed, these highly complex glycoprotein hormones, including pituitary lutropin (LH) and follitropin (FSH), are heterogeneous in terms of both peptidic and carbohydrate moieties, and, as a consequence, the bioactivity of the different molecular forms often ...
Christin-Maitre, S +3 more
openaire +3 more sources
Bioassays constitute a unique approach to determine the functional aspects of gonadotropins. Indeed, these highly complex glycoprotein hormones, including pituitary lutropin (LH) and follitropin (FSH), are heterogeneous in terms of both peptidic and carbohydrate moieties, and, as a consequence, the bioactivity of the different molecular forms often ...
Christin-Maitre, S +3 more
openaire +3 more sources
Theoretical Population Biology, 1971
Abstract Kinship between two population I and J , defined as the probability of identity by descent for a random pair of alleles from I and J , can be estimated by bioassay of phenotypes, names, metrics, and gene frequencies, and can be predicted from genealogy and demography by both deterministic and Monte Carlo methods.
N E, Morton, S, Yee, D E, Harris, R, Lew
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Abstract Kinship between two population I and J , defined as the probability of identity by descent for a random pair of alleles from I and J , can be estimated by bioassay of phenotypes, names, metrics, and gene frequencies, and can be predicted from genealogy and demography by both deterministic and Monte Carlo methods.
N E, Morton, S, Yee, D E, Harris, R, Lew
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Endocrinology, 1953
IN 1926 Hisaw first demonstrated experimentally the relaxation of the pelvic ligaments of guinea pigs during estrus following the injection of blood serum from pregnant rabbits. Later work indicated a specific hormone, designated as relaxin, was responsible for the looseness of the symphysis pubis, since the effect was also observed following injection
R I, DORFMAN +2 more
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IN 1926 Hisaw first demonstrated experimentally the relaxation of the pelvic ligaments of guinea pigs during estrus following the injection of blood serum from pregnant rabbits. Later work indicated a specific hormone, designated as relaxin, was responsible for the looseness of the symphysis pubis, since the effect was also observed following injection
R I, DORFMAN +2 more
openaire +2 more sources
Controlled Clinical Trials, 1984
Linear multivariate theory is applied to \textit{A. Vølund}'s [ibid. 36, 225-236 (1980; Zbl 0436.62092)] multivariate bioassay problems resulting in more powerful tests of hypotheses, a simple ML estimator of relative potency, and a Fieller-like confidence interval.
Eugene M. Laska +3 more
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Linear multivariate theory is applied to \textit{A. Vølund}'s [ibid. 36, 225-236 (1980; Zbl 0436.62092)] multivariate bioassay problems resulting in more powerful tests of hypotheses, a simple ML estimator of relative potency, and a Fieller-like confidence interval.
Eugene M. Laska +3 more
openaire +1 more source
Bioassays with a microphysiometer
Nature, 1990By sensitively monitoring the metabolic rates of living cells, a novel instrument detects cellular responses to stimuli as diverse as ligand-receptor binding and toxic chemicals.
J C, Owicki, J W, Parce
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Biometrics, 1980
In a multivariate bioassay the response variable is r-dimensional and the dose variable is one-dimensional. Thus, the graph of the dose response relation is a curve in the (r+1)-dimensional space. The similarity requirement for a test and a standard is divided into two parts: (i) a condition of marginal similarity corresponding to the usual similarity ...
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In a multivariate bioassay the response variable is r-dimensional and the dose variable is one-dimensional. Thus, the graph of the dose response relation is a curve in the (r+1)-dimensional space. The similarity requirement for a test and a standard is divided into two parts: (i) a condition of marginal similarity corresponding to the usual similarity ...
openaire +2 more sources
Multivariate Bioassay, Combination of Bioassays, and Fieller's Theorem
Biometrics, 1986In this paper alternative methods for estimating the relative potency, its confidence intervals, and testing for proportionality are developed for multivariate bioassays. The test and estimate are based on the smaller characteristic root and the corresponding characteristic vector of a 2 X 2 matrix.
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