Determination of Blocking Temperature in Magnetization and Mössbauer Time Scale: A Functional Form Approach

2017 ◽  
Vol 121 (30) ◽  
pp. 16541-16548 ◽  
Author(s):  
G. Concas ◽  
F. Congiu ◽  
G. Muscas ◽  
D. Peddis
2000 ◽  
Vol 179 ◽  
pp. 205-208
Author(s):  
Pavel Ambrož ◽  
Alfred Schroll

AbstractPrecise measurements of heliographic position of solar filaments were used for determination of the proper motion of solar filaments on the time-scale of days. The filaments have a tendency to make a shaking or waving of the external structure and to make a general movement of whole filament body, coinciding with the transport of the magnetic flux in the photosphere. The velocity scatter of individual measured points is about one order higher than the accuracy of measurements.


2021 ◽  
pp. 2150100
Author(s):  
Andronikos Paliathanasis

We investigate the existence of Liouville integrable cosmological models in hybrid metric-Palatini theory. Specifically, we use the symmetry conditions for the existence of quadratic in the momentum conservation laws for the field equations as constraint conditions for the determination of the unknown functional form of the theory. The exact and analytic solutions of the integrable systems found in this study are presented in terms of quadratics and Laurent expansions.


1997 ◽  
Vol 2 (3) ◽  
pp. 179-191 ◽  
Author(s):  
R. KRONLAND-MARTINET ◽  
Ph. GUILLEMAIN ◽  
S. YSTAD

Sound modelling is an important part of the analysis–synthesis process since it combines sound processing and algorithmic synthesis within the same formalism. Its aim is to make sound simulators by synthesis methods based on signal models or physical models, the parameters of which are directly extracted from the analysis of natural sounds. In this article the successive steps for making such systems are described. These are numerical synthesis and sound generation methods, analysis of natural sounds, particularly time–frequency and time–scale (wavelet) representations, extraction of pertinent parameters, and the determination of the correspondence between these parameters and those corresponding to the synthesis models. Additive synthesis, nonlinear synthesis, and waveguide synthesis are discussed.


1985 ◽  
Vol 65 (3) ◽  
pp. 511-522 ◽  
Author(s):  
R. B. BURNETT ◽  
G. W. FALK ◽  
C. F. SHAYKEWICH

The effects of daily maximum and minimum temperature and photoperiod on the phenological development of soybean cultivars Maple Presto and McCall were studied under field conditions over the period 1979–1982. Experimental sites were located throughout the agricultural area of Manitoba. Data collected were used to derive a biometeorological time scale for each cultivar. For this purpose, the growth of the crop was divided into four stages: planting to emergence, emergence to flowering, flowering to beginning pod fill, and beginning pod fill to maturity. When the biometeorological time scale developed from the first 3 yr of the study was used to predict the duration of each stage of development during the fourth year, the largest root mean square error of estimation was 4.0 days. A biometeorological time scale developed from all 4 yr of data was applied to historical weather station data in order to determine the probability of maturing soybeans in Manitoba. According to the analyses, only a small area in central Manitoba south of 50° N latitude is capable of maturing the cultivar McCall 90% of the time. Most of the agricultural region can expect to mature the cultivar Maple Presto 90% of the time.Key words: Soybeans, climatically suitable areas


Author(s):  
Naila Alam ◽  
Muhammad Hanif

The Model assisted estimators are approximately design unbiased, consistent and provides robustness in the case of large sample sizes. The model assisted estimators result in reduction of the design variance if underlying model reasonably defines the regression relationship.  If the model is misspecified, then model assisted estimators might result in an increase of the design variance but remain approximately design unbiased and show robustness against model-misspecification. The well-known model assisted estimators, generalized regression estimators are members of a larger class of calibration estimators. Calibration method generates calibration weights that meet the calibration constraints and have minimum distance from the sampling design weights. By using different distance measures, classical calibration approach generates different calibration estimators but with asymptotically identical properties. The constraint of distance minimization was reduced for studying the properties of calibration estimators by proposing a simple functional form approach. The approach generates calibration weights that prove helpful to control the changes in calibration weights by using different choices of auxiliary variable’s functions.  This paper is an extended work on model assisted approach by using functional form of calibration weights. Some new model assisted estimators are considered to get efficient and stabilized regression weights by introducing a control matrix. The asymptotic un-biasedness of the proposed estimators is verified and the expressions for MSE are derived in three different cases.  A simulation study is done to compare and evaluate the efficiency of the proposed estimators with some existing model assisted estimators.


2019 ◽  
Vol 10 (11) ◽  
pp. 2020-2033
Author(s):  
Rubén Cabrera ◽  
Jhoana Díaz-Larrea ◽  
Schery Umanzor ◽  
Laura Georgina Núñez García

2018 ◽  
Vol 29 (2) ◽  
pp. 353-371 ◽  
Author(s):  
William A. Barnett ◽  
Neepa B. Gaekwad

1963 ◽  
Vol 30 (3) ◽  
pp. 415-418 ◽  
Author(s):  
M. H. Cobble ◽  
W. F. Ames

A classical substitution procedure for solving Poisson’s equation ∇2φ = −K is extended by application of certain coordinate transformations suggested by the functional form of K. The method is applied to the determination of fluid-velocity fields in two curvilinear geometries.


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