A Monte Carlo test of weight as a critical factor in menarche, compared with bone age and measures of height, width, and sexual development

GROWTH of sexual hair in a young child suggests the possibility that adrenal tumor or hyperplasia may be causing virilization or that true sexual precocity may be beginning. However, neither of these relatively serious conditions may exist. Approximately 10 years ago workers in the Endocrine Clinic of the Harriet Lane Home became aware of the fact that sexual hair may appear in early life long before there is any other secondary sexual development dependent upon either androgen or estrogen. Although this syndrome has been referred to briefly in textbooks as "precocious adrenarche" and "premature pubarche," no detailed studies of a series of cases have been recorded. The present report is based on a study of 29 children who developed sexual hair before the age of 8 years. It was possible to follow a number of these patients long enough to demonstrate that the condition is a benign variation in the pattern of sexual development and is followed later by normal adolescence. It seems important to bring the findings to the attention of pediatricians who may not be familiar with the syndrome and to discuss its differential diagnosis and probable etiology. Methods Urinary 17-ketosteroids (17-KS) were determined by a modification of the method of Callow, Callow and Emmons previously described, urinary estrogens were measured as the "fluorogenic phenols" by the method of Jailer. Vaginal smears stained by the method of Shorr were interpreted as described elsewhere. The "bone age" was based on the average epiphysial development at all the joints. Clinical and Laboratory Findings

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Investigation of contribution of number of trials in Monte Carlo simulation for uncertainty estimation for a pressure balance

Transactions of the Institute of Measurement and Control ◽

10.1177/01423312211039065 ◽

2021 ◽

pp. 014233122110390

Author(s):

Jasveer Singh ◽

Neha Bura ◽

Kapil Kaushik ◽

Lakshmi Annamalai Kumaraswamidhas ◽

Nita Dilawar Sharma

Keyword(s):

Monte Carlo Simulation ◽

Monte Carlo ◽

Measurement Uncertainty ◽

Critical Factor ◽

Random Number Generation ◽

Effective Area ◽

National Physical Laboratory ◽

Conventional Technique ◽

Random Numbers ◽

Pressure Balance

It is well established that the estimation of measurement uncertainty is vital for the validation of any measurement and is an essential parameter of quality assurance. Apart from the conventional technique of law of propagation of uncertainty (LPU), which has many limitations, Monte Carlo simulation (MCS) technique has become an essential tool for the estimation of measurement uncertainty in various fields of metrology. The most critical factor in MCS is the generation of random numbers of the input quantities according to their probability distributions. The number of Monte Carlo trials to generate these random numbers significantly affects the results. In particular, the required number of trials is also affected by the parameter for which the uncertainty is to be estimated. Hence, in the current paper, the effect of selection of the number of trials on the random number generation and the resulting output in terms of standard deviation (SD) is investigated for the uncertainty in the effective area of a pneumatic reference pressure standard (NPLI-4) at the CSIR-National Physical Laboratory of India. The simulation results thus obtained are compared amongst themselves, with an adaptive approach as well as with the experimental results. The outcomes are analyzed and discussed in detail.

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Template-Based Monte-Carlo Test Generation for Simulink Models

Cyber Physical Systems. Design, Modeling, and Evaluation - Lecture Notes in Computer Science ◽

10.1007/978-3-030-17910-6_5 ◽

2019 ◽

pp. 63-78 ◽

Cited By ~ 1

Author(s):

Takashi Tomita ◽

Daisuke Ishii ◽

Toru Murakami ◽

Shigeki Takeuchi ◽

Toshiaki Aoki

Keyword(s):

Monte Carlo ◽

Test Generation ◽

Monte Carlo Test

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A Scalable Monte-Carlo Test-Case Generation Tool for Large and Complex Simulink Models

2019 IEEE/ACM 11th International Workshop on Modelling in Software Engineering (MiSE) ◽

10.1109/mise.2019.00014 ◽

2019 ◽

Cited By ~ 1

Author(s):

Takashi Tomita ◽

Daisuke Ishii ◽

Toru Murakami ◽

Shigeki Takeuchi ◽

Toshiaki Aoki

Keyword(s):

Monte Carlo ◽

Test Case Generation ◽

Test Case ◽

Monte Carlo Test

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THE EFFECTIVE STRING OF 3D Z2 GAUGE THEORY AS A c = 1 COMPACTIFIED CFT

International Journal of Modern Physics A ◽

10.1142/s0217751x93001144 ◽

1993 ◽

Vol 08 (16) ◽

pp. 2839-2858 ◽

Cited By ~ 3

Author(s):

M. CASELLE ◽

F. GLIOZZI ◽

S. VINTI ◽

R. FIORE

Keyword(s):

Field Theory ◽

Monte Carlo ◽

Conformal Field Theory ◽

Central Charge ◽

Three Dimensional ◽

String Tension ◽

Gauge Model ◽

Expectation Values ◽

Monte Carlo Test ◽

Conformal Field

We report on a high precision Monte Carlo test of the three-dimensional Ising gauge model at finite temperature. The string tension σ is extracted from the expectation values of correlations of Polyakov lines. Agreement with the string tension extracted from Wilson loops is found only if the quantum fluctuations of the flux tube are properly taken into account. The central charge of the underlying conformal field theory is c = 1.

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