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Luati, Alessandra, Tommaso Proietti y Marco Reale. "The Variance Profile". Journal of the American Statistical Association 107, n.º 498 (junio de 2012): 607–21. http://dx.doi.org/10.1080/01621459.2012.682832.
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Soleimanian, V. y S. R. Aghdaee. "Comparison methods of variance and line profile analysis for the evaluation of microstructures of materials". Powder Diffraction 23, n.º 1 (marzo de 2008): 41–51. http://dx.doi.org/10.1154/1.2888763.
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A comparison of different methods of X-ray diffraction analysis for the determination of crystallite size and microstrain; namely, line profile analysis, Rietveld refinement, and three approaches based on the variance method, is presented. The analyses have been applied to data collected on a ceria sample prepared by the IUCr Commission on Powder Diffraction. In the variance method, split Pearson VII, the Voigt function, and its approximation pseudo-Voigt function were fitted to X-ray diffraction line profiles. Based on the fitting results, the variances of line profiles were calculated and then the crystallite size and root mean square strain were obtained from variance coefficients. A SS plot of Langford as well as a Fourier analysis and Rietveld refinement have been carried out. The average crystallite size and microstrain were determined. The values of area-weighted domain size determined from the variance method are in agreement with those obtained from line profile analysis within a single (largest) standard uncertainty, and the volume-weighted domain sizes derived from the SS plot, Fourier size distribution, and Rietveld refinement agree within a single standard uncertainty. The results of rms strain calculated from variance and Pearson VII shape function and those from Rietveld refinements fall within a single esd. However, the variance method in conjunction with pseudo-Voigt and Voigt functions produce rms strains substantially larger than those determined from line profile analysis and Rietveld refinements.
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Raymond, Mark R. y Zhehan Jiang. "Indices of Subscore Utility for Individuals and Subgroups Based on Multivariate Generalizability Theory". Educational and Psychological Measurement 80, n.º 1 (16 de mayo de 2019): 67–90. http://dx.doi.org/10.1177/0013164419846936.
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Conventional methods for evaluating the utility of subscores rely on traditional indices of reliability and on correlations among subscores. One limitation of correlational methods is that they do not explicitly consider variation in subtest means. An exception is an index of score profile reliability designated as [Formula: see text], which quantifies the ratio of true score profile variance to observed score profile variance. [Formula: see text] has been shown to be more sensitive than correlational methods to group differences in score profile utility. However, it is a group average, representing the expected value over a population of examinees. Just as score reliability varies across individuals and subgroups, one can expect that the reliability of score profiles will vary across examinees. This article proposes two conditional indices of score profile utility grounded in multivariate generalizability theory. The first is based on the ratio of observed profile variance to the profile variance that can be attributed to random error. The second quantifies the proportion of observed variability in a score profile that can be attributed to true score profile variance. The article describes the indices, illustrates their use with two empirical examples, and evaluates their properties with simulated data. The results suggest that the proposed estimators of profile error variance are consistent with the known error in simulated score profiles and that they provide information beyond that provided by traditional measures of subscore utility. The simulation study suggests that artificially large values of the indices could occur for about 5% to 8% of examinees. The article concludes by suggesting possible applications of the indices and discusses avenues for further research.
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Czaplewski, Raymond L. y David Bruce. "Retransformation bias in a stem profile model". Canadian Journal of Forest Research 20, n.º 10 (1 de octubre de 1990): 1623–30. http://dx.doi.org/10.1139/x90-215.
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An unbiased profile model, fit to diameter divided by diameter at breast height, overestimated volume of 5.3-m log sections by 0.5 to 3.5%. Another unbiased profile model, fit to squared diameter divided by squared diameter at breast height, underestimated bole diameters by 0.2 to 2.1%. These biases are caused by retransformation of the predicted dependent variable; the degree of retransformation bias depends upon choice of dependent variable in the regression model, variance of its prediction errors, and the bole position of the desired prediction. Retransformation biases were greatest near the merchantable top of large trees. Equations are given that reduce the magnitude of these biases, but accurate variance models are required. Additional biases are identified for more complex transformations of stem profile models.
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Ida, T., S. Shimazaki, H. Hibino y H. Toraya. "Diffraction peak profiles from spherical crystallites with lognormal size distribution". Journal of Applied Crystallography 36, n.º 5 (8 de septiembre de 2003): 1107–15. http://dx.doi.org/10.1107/s0021889803011580.
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An efficient and accurate method to evaluate the theoretical diffraction peak profiles from spherical crystallites with lognormal size distribution (SLN profile) is presented. Precise results can be obtained typically by an eight-term numerical integral for any values of the parameters, by applying an appropriate substitution of the variable to the integral formula. The calculated SLN profiles have been verified by comparison with those calculated by inverse Fourier transform from the exact analytical solution of the Fourier-transformed SLN profile. It has been found that the shape of the SLN profile strongly depends on the variance of size distribution. When the logarithmic standard deviation ω of the size distribution is close to 0.76, the SLN profile becomes close to a Lorentzian profile, and `super-Lorentzian' profiles are predicted for larger values of ω, as has been concluded by Popa & Balzar [J. Appl. Cryst.(2002),35, 338–346]. The intrinsic diffraction peak profiles of an SiC powder sample obtained by deconvolution of the instrumental function have certainly shown `super-Lorentzian' line profiles, and they are well reproduced by the SLN profile for the value ω = 0.93.
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Hays, J. Ray. "WAIS-R Profile Variability of Psychiatric Inpatients". Psychological Reports 79, n.º 3_suppl (diciembre de 1996): 1154. http://dx.doi.org/10.2466/pr0.1996.79.3f.1154.
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Sparks, Joshua, Srinivasan Balaji y Hosam Mahmoud. "The containment profile of hyper-recursive trees". Journal of Applied Probability 59, n.º 1 (17 de enero de 2022): 278–96. http://dx.doi.org/10.1017/jpr.2021.50.
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AbstractWe investigate vertex levels of containment in a random hypergraph grown in the spirit of a recursive tree. We consider a local profile tracking the evolution of the containment of a particular vertex over time, and a global profile concerned with counts of the number of vertices of a particular containment level.For the local containment profile, we obtain the exact mean, variance, and probability distribution in terms of standard combinatorial quantities such as generalized harmonic numbers and Stirling numbers of the first kind. Asymptotically, we observe phases: the early vertices have an asymptotically normal distribution, intermediate vertices have a Poisson distribution, and late vertices have a degenerate distribution.As for the global containment profile, we establish an asymptotically normal distribution for the number of vertices at the smallest containment level as well as their covariances with the number of vertices at the second smallest containment level and the variances of these numbers. The orders in the variance–covariance matrix establish concentration laws.
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Hays, J. Ray y J. Bryant Shaw. "Wasi Profile Variability in a Sample of Psychiatric Inpatients". Psychological Reports 92, n.º 1 (febrero de 2003): 164–66. http://dx.doi.org/10.2466/pr0.2003.92.1.164.
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This study examined the variability of Wechsler Abbreviated Scale of Intelligence profiles using the subtest range and profile variability index in a sample of 70 psychiatric inpatients. The subtest range and profile variability index were correlated .93 ( p < .001), indicating that either measure may be used to assess profile variance. Comparison of profile variability on this abbreviated scale with other Wechsler intelligence scales in similar populations suggests that variability measures are not comparable across the tests.
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Rahmah Humaeroh, Muhammad Nur Aidi, Bagus Sartono y Nazarina. "Analysis of Multivariate Data Variance Detected Outlier to Determine Factors Influencing Lipid Profile in Diabetes Patients". International Journal of Scientific Research in Science, Engineering and Technology 11, n.º 2 (30 de marzo de 2024): 147–54. http://dx.doi.org/10.32628/ijsrset2411213.
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Diabetes is characterized by high blood glucose levels and can lead to cardiovascular complications. This research, will be investigating he factors influencing lipid profile in diabetes patients and the differences in these profiles under various treatments. The research used the MANOVA test to analyze differences in lipid profile under different treatment and controlled for covariates using Mancova. They also used robust methods to address outliers is minimum covariance determinant. The result suggest that gender is a significant factor influencing lipid profile in diabetes patients. The most effective analytical methods were found to be robust manova and robust mancova, with low RMSE values indicating their accuracy.
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Houison, Ronald J., Andrea Lamont-Mills, Michael Kotiw y Peter C. Terry. "Strike 3 … Out! Investigating Pre-Game Moods, Performance, and Mental Health of Softball Umpires". Sports 12, n.º 2 (2 de febrero de 2024): 50. http://dx.doi.org/10.3390/sports12020050.
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Mood research in sports typically focuses on athletes, with sports officials being largely overlooked. In the current study, mood profiling was used to determine if softball umpires reported an identifiable and consistent mood profile and if mood was predictive of umpiring performance and/or reflective of positive mental health. Eleven male and five female participants aged 25–68 years (M = 48.5 ± 15.5 years) each completed the Brunel Mood Scale on multiple occasions prior to officiating games at the 2020 U18 National Softball Championships. A total of 185 mood profiles were analysed. Performance was assessed using Softball Australia’s official umpire assessment tool. Overall, participants reported an iceberg mood profile, which tends to be associated with positive mental health and good performance. Umpiring performances (pass/fail) were correctly classified in 75.0% of cases from tension, depression, and confusion scores (p = 0.003). Participant sex explained 25.7% of the variance in mood scores (p < 0.001); age, 25.8% of the variance (p < 0.001); position on the diamond, 10.5% of the variance (p = 0.003); and accreditation level, 14.3% of the variance (p < 0.001). Australian softball umpires typically reported mood profiles associated with positive mental health, and none reported profiles associated with risk of mental ill-health.
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Bruszel, Bella, Edit Tóth-Molnár, Tamás Janáky y Zoltán Szabó. "Sources of Variance in Human Tear Proteomic Samples: Statistical Evaluation, Quality Control, Normalization, and Biological Insight". International Journal of Molecular Sciences 25, n.º 3 (26 de enero de 2024): 1559. http://dx.doi.org/10.3390/ijms25031559.
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Human tear fluid contains numerous compounds, which are present in highly variable amounts owing to the dynamic and multipurpose functions of tears. A better understanding of the level and sources of variance is essential for determining the functions of the different tear components and the limitations of tear samples as a potential biomarker source. In this study, a quantitative proteomic method was used to analyze variations in the tear protein profiles of healthy volunteers. High day-to-day and inter-eye personal variances were observed in the tear volumes, protein content, and composition of the tear samples. Several normalization and outlier exclusion approaches were evaluated to decrease variances. Despite the intrapersonal variances, statistically significant differences and cluster analysis revealed that proteome profile and immunoglobulin composition of tear fluid present personal characteristics. Using correlation analysis, we could identify several correlating protein clusters, mainly related to the source of the proteins. Our study is the first attempt to achieve more insight into the biochemical background of human tears by statistical evaluation of the experimentally observed dynamic behavior of the tear proteome. As a pilot study for determination of personal protein profiles of the tear fluids of individual patients, it contributes to the application of this noninvasively collectible body fluid in personal medicine.
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Zhou, Bowen, Shiwei Sun, Jianning Sun y Kefeng Zhu. "The Universality of the Normalized Vertical Velocity Variance in Contrast to the Horizontal Velocity Variance in the Convective Boundary Layer". Journal of the Atmospheric Sciences 76, n.º 5 (1 de mayo de 2019): 1437–56. http://dx.doi.org/10.1175/jas-d-18-0325.1.
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Abstract The vertical turbulent velocity variance normalized by the convective velocity squared as a function of the boundary layer depth–normalized height [i.e., ] in the convective boundary layer (CBL) over a homogeneous surface exhibits a near-universal profile, as demonstrated by field observations, laboratory experiments, and numerical simulations. The profile holds over a wide CBL stability range set by the friction velocity, CBL depth, and surface heating. In contrast, the normalized horizontal turbulent velocity variance increases monotonically with decreasing stability. This study investigates the independence of the profile to changes in CBL stability, or more precisely, wind shear. Large-eddy simulations of several convective and neutral cases are performed by varying surface heating and geostrophic winds. Analysis of the turbulent kinetic energy budgets reveals that the conversion term between and depends almost entirely on buoyancy. This explains why does not vary with shear, which is a source to only. Further analysis through rotational and divergent decomposition suggests that the near-universal profile of is fundamentally related to the dynamics and interactions of local and nonlocal CBL turbulence. Specifically, the preferential interactions between local wavenumbers and the downscale energy cascade of CBL turbulence offer plausible explanations to the universal profile of .
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Peng, Li Rui y Phil Green. "Evaluation of Perceptual Rendering Intent in ICC Printing Workflows". Advanced Materials Research 174 (diciembre de 2010): 12–15. http://dx.doi.org/10.4028/www.scientific.net/amr.174.12.
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A psychophysical experiment on evaluating of Perceptual Rendering Intent in sRGB v2 and v4 profile as source profiles in ICC printing workflows was conducted. The Perceptual rendering intent in the sRGB v4 preference profile obtained higher scores than that in v2 profile in terms of both preference and subjective accuracy. No single tested workflow performed best on both preference and subjective accuracy. In terms of the observers’ reliability, expert observers had a higher consistency and smaller variance than the naive observers did.
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Wiedemann, Karl E. y Jalaiah Unnam. "Rapid Composition-Depth With X-Ray Diffraction: Theory and Practice". Advances in X-ray Analysis 29 (1985): 193–202. http://dx.doi.org/10.1154/s0376030800010260.
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AbstractHigh precision composition-depth profiles can be determined quickly using a recent development. This method requires that noncompositional broadening arising from the instrument, crystal defects, and the radiation source be removed from the diffraction pattern before calculating the composition-depth profile. Effective deconvolution techniques, profiling theory, methodology of profiling, and the effect of residual noncompositional broadening on the profile are discussed. Examples include statistical analyses of error in the profile due to random counting errors and variance in the lattice parameter calibration.
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Banta, Robert M., Yelena L. Pichugina y W. Alan Brewer. "Turbulent Velocity-Variance Profiles in the Stable Boundary Layer Generated by a Nocturnal Low-Level Jet". Journal of the Atmospheric Sciences 63, n.º 11 (1 de noviembre de 2006): 2700–2719. http://dx.doi.org/10.1175/jas3776.1.
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Abstract Profiles of mean winds and turbulence were measured by the High Resolution Doppler lidar in the strong-wind stable boundary layer (SBL) with continuous turbulence. The turbulence quantity measured was the variance of the streamwise wind velocity component σ2u. This variance is a component of the turbulence kinetic energy (TKE), and it is shown to be numerically approximately equal to TKE for stable conditions—profiles of σ2u are therefore equivalent to profiles of TKE. Mean-wind profiles showed low-level jet (LLJ) structure for most of the profiles, which represented 10-min averages of mean and fluctuating quantities throughout each of the six nights studied. Heights were normalized by the height of the first LLJ maximum above the surface ZX, and the velocity scale used was the speed of the jet UX, which is shown to be superior to the friction velocity u* as a velocity scale. The major results were 1) the ratio of the maximum value of the streamwise standard deviation to the LLJ speed σu/UX was found to be 0.05, and 2) the three most common σ2u profile shapes were determined by stability (or Richardson number Ri). The least stable profile shapes had the maximum σ2u at the surface decreasing to a minimum at the height of the LLJ; profiles that were somewhat more stable had constant σ2u through a portion of the subjet layer; and the most stable of the profiles had a maximum of σ2u aloft, although it is important to note that the Ri for even the most stable of the three profile categories averaged less than 0.20. The datasets used in this study were two nights from the Cooperative Atmosphere–Surface Exchange Study 1999 campaign (CASES-99) and four nights from the Lamar Low-Level Jet Project, a wind-energy experiment in southeast Colorado, during September 2003.
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Cui, T. y C. Tellambura. "Power delay profile and noise variance estimation for OFDM". IEEE Communications Letters 10, n.º 1 (enero de 2006): 25–27. http://dx.doi.org/10.1109/lcomm.2006.1576558.
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Nikoo, Mehrdad y Rassoul Noorossana. "Phase II Monitoring of Nonlinear Profile Variance Using Wavelet". Quality and Reliability Engineering International 29, n.º 7 (13 de septiembre de 2012): 1081–89. http://dx.doi.org/10.1002/qre.1460.
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Wang, Zhenquan, Jian Yuan, Robert Wood, Yifan Chen y Tiancheng Tong. "Profile-based estimated inversion strength". Atmospheric Chemistry and Physics 23, n.º 5 (13 de marzo de 2023): 3247–66. http://dx.doi.org/10.5194/acp-23-3247-2023.
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Abstract. To better measure the planetary boundary layer inversion strength (IS), a novel profile-based method of estimated inversion strength (EISp) is developed using the ERA5 daily reanalysis data. The EISp is designed to estimate the IS based on the thinnest possible reanalysis layer above the lifting condensation level encompassing the inversion layer. At a ground-based site in North America, the EISp correlates better with the radiosonde-detected IS (R=0.74) than the lower-tropospheric stability (LTS, R=0.53) and the estimated inversion strength (EIS, R=0.45). The daily variance in low cloud cover (LCC) explained by the EISp is twice that explained by the LTS and EIS. Higher correlations between the EISp and the radiosonde-detected IS are also found at other radiosonde stations of the subtropics and midlatitudes. Analysis of LCC observed by geostationary satellites and the Moderate Resolution Imaging Spectroradiometer shows that the EISp explains 78 % of the annual mean LCC spatial variance over global oceans and land, which is larger than that explained by the LTS and EIS (48 % and 13 %). Over tropical and subtropical low-cloud-prevailing eastern oceans, the LCC range is more resolved by the EISp (48 %) than by the LTS and EIS (37 % and 36 %). Furthermore, the EISp explains a larger fraction (32 %) in the daily LCC variance as compared to that explained by the LTS and EIS (14 % and 16 %). The seasonal LCC variance explained by the EISp is 89 %, which is larger than that explained by the LTS and EIS (80 % and 70 %). The LCC–EISp relationship is more uniform across various timescales than the LCC–LTS and LCC–EIS relationships. It is suggested that the EISp is a better cloud-controlling factor for LCC and is likely a useful external environmental constraint for process-level studies in which there is a need to control for large-scale meteorology in order to isolate the cloud responses to aerosols on short timescales.
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Dewani, Noviana, Mirjana Sakradzija, Linda Schlemmer, Ronny Leinweber y Juerg Schmidli. "Dependency of vertical velocity variance on meteorological conditions in the convective boundary layer". Atmospheric Chemistry and Physics 23, n.º 7 (5 de abril de 2023): 4045–58. http://dx.doi.org/10.5194/acp-23-4045-2023.
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Abstract. Measurements of vertical velocity from vertically pointing Doppler lidars are used to derive the profiles of normalized vertical velocity variance. Observations were taken during the FESSTVaL (Field Experiment on Submesoscale Spatio-Temporal Variability in Lindenberg) campaign during the warm seasons of 2020 and 2021. Normalized by the square of the convective velocity scale, the average vertical velocity variance profile follows the universal profile of Lenschow et al. (1980). However, daily profiles still show a high day-to-day variability. We found that moisture transport and the content of moisture in the boundary layer could explain the remaining variability of the normalized vertical velocity variance. The magnitude of the normalized vertical velocity variance is highest on clear-sky days and decreases as the absolute humidity increases and surface latent heat flux decreases on cloud-topped days. This suggests that moisture content and moisture transport are limiting factors for the intensity of turbulence in the convective boundary layer. We also found that the intensity of turbulence decreases with an increase in the boundary layer cloud fraction during FESSTVaL, while the latent heating in the cloud layer was not a relevant source of turbulence in this case. We conclude that a new vertical velocity scale has to be defined that would take into account the moist processes in the convective boundary layer.
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Scardi, P., M. Leoni y J. Faber. "Diffraction line profile from a disperse system: A simple alternative to Voigtian profiles". Powder Diffraction 21, n.º 4 (diciembre de 2006): 270–77. http://dx.doi.org/10.1154/1.2358359.
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A general expression is proposed for the peak profile produced by a system of simple-shape crystalline domains (sphere, cube, tetrahedron, octahedron) whose size is dispersed according to a gamma distribution. The analytical expression obtained is particularly suited to “on the fly” pattern simulation or profile fitting for nanocrystalline materials. An advantage of using the proposed profile expression is that it always corresponds to a physically meaningful, though a priori fixed, size distribution, whereas the traditionally employed Voigtian profiles can produce unphysical negative size distributions for certain combinations of profile parameters. The peak profile depends on the distribution mean and variance instead of the more common empirical parameters of peak width and shape.
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Raunio, Jukka-Pekka, Tommi Löyttyniemi y Risto Ritala. "Online quality evaluation of tissue paper structure on new generation tissue machines". Nordic Pulp & Paper Research Journal 33, n.º 1 (23 de mayo de 2018): 133–41. http://dx.doi.org/10.1515/npprj-2018-3004.
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Abstract At present, the tissue paper manufacturing is mostly based on the dry crepe technology. During the last decade, the manufacturers have introduced new tissue machines concepts that increase the softness, bulk, and absorption capacity. Such machines produce a strong regular three-dimensional (3D) structure to the sheet before the Yankee cylinder. At present, the quality of the 3D structure is not evaluated, or it is evaluated only subjectively at the mill. This is mostly because of the difficulties to separate reliably the regular 3D pattern from other variations. This paper introduces a frequency analysis based method which separates the surface profile variances in tissue paper to the creping, to the regular 3D pattern and to the residual variation. The 3D surface profiles and their variances were determined online with the photometric stereo method. We show that the introduced analysis method evaluates the variance portions reliably and the results are consistent with the visual perception of the 3D surfaces. In one particular product, the regular 3D pattern explains 74 % of total surface variance; the creping explains 10 % and residual variations 16 %. Furthermore, the creping and residual variances are quite stable over time whereas the variance of the regular 3D pattern fluctuates significantly.
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Yulia, Aida y Afrianti Afrianti. "Analisis Perbedaan Pengungkapan Corporate Social Responsibility Pada Perusahaan High Profile dan Low Profile (Studi Empiris Perusahaan Manufaktur yang Terdaftar di BEI)". Jurnal Dinamika Akuntansi dan Bisnis 1, n.º 1 (1 de marzo de 2014): 92–106. http://dx.doi.org/10.24815/jdab.v1i1.3594.
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The purpose of this study was to examine the influence of revenue variance regional government budget either simultaneously or partially, toward expenditure variance regional government budget seein in the perspective of agency. The research was conducted at all regions throughout the province Indonesian government. Types of research used in this study is hypothesis testing. The research method used in this study is the method by purposive sampling. The population in this study is all districts across cities in Indonesia. Samples in this study were 56 urban districts that have a budget deficit from 2009 to 2011. The data collection techniques using secondary data from the budget documents that have certain criteria that is done by documentation. Hypothesis testing is done by simple linear regression method. These results of this study indicate that variance revenue budget exists purely partial effect on spending budget exixts purely variance in agency theory perspective.
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Moravec, Marek, Miriama Pinosova, Miroslav Badida, Gabriela Izarikova y Miroslava Badidova. "Analysis of the Acoustic Parameters of Building Partition Structures of Varying Composition". Buildings 14, n.º 8 (7 de agosto de 2024): 2440. http://dx.doi.org/10.3390/buildings14082440.
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Building partition structures must meet several construction and technical parameters. During the measurement of the acoustic properties of dividing structures in real conditions, surprising results are often achieved that do not correspond to the expected values. Based on this reason, the composition of nine dividing constructions were designed. The measurements were carried out under conditions that are very close to real conditions. Measurements were performed in accordance with international standards. The monitored parameters also include acoustic parameters. In this paper, the analysis of acoustic parameters of nine building dividing structures (profiles) with different compositions was performed. The individual layers were made up of common building elements. Various statistical methods, variance analysis and regression were used in the evaluation. The apparent sound reduction index values measured for different profile types for frequencies from 100 to 3150 Hz are compared using Variance Analysis (ANOVA); the assumptions for their use are verified by the Shapiro–Wilk test and Levene Test of Homogeneity of Variances. Multiple linear regression was used to identify and analyze the relationship between the independent variables and the dependent variable. The methods of regression and correlation analysis were used in determining the parameters that affect the resulting coefficient of weighted structural sound insulation. The total thickness of the profile and the number of layers were found to be statistically significant parameters. Based on these analyses, the coefficient of weighted structural sound insulation was determined. A clear-cut definition and identification of the single-number rating required would thus be instrumental in selecting the appropriate material for accomplishing the desired objectives.
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Paniagua, Teresa, Virginia Fernández-Fernández y MªÁngeles Molina Martínez. "Emotion regulation profiles of development of depressive symptomatology: a longitudinal study." Innovation in Aging 5, Supplement_1 (1 de diciembre de 2021): 852–53. http://dx.doi.org/10.1093/geroni/igab046.3116.
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Abstract Introduction:COVID-19 pandemic has had a psychological impact on the eldest population. The aim is to analyse whether there are differences depending on the emotional regulation profile shown by a group of older people 6 months before the pandemic and the depressive symptomatology of these people at the same time, during home confinement and 8 months later. Method:Longitudinal study, sample of people over 65, three evaluation measures: WAVE1 (6 months before COVID-19,N=305;M=73.63;58.9% women), WAVE2 (house confinement;N=151;M=73.14;59.6% women) and WAVE3 (8 months later;N=91;M=72.62;64.70% women). We measured depressive symptomatology (CES-D; Radloff, 1977) and nine emotional regulation strategies (CERQ-S; Garnefski et al., 2001; Carvajal et al., 2020), with which 3 clusters were preset (after dendogram inspection and K means analysis). Three mean difference analyses (one-factor ANOVA) were performed taking as factor profiles and as outcomes variables depression in each wave. Results:profile 1, people use adaptive cognitive-emotional regulation strategies; profile 2, those with low levels of strategies (adaptive and maladaptive); profile 3, high scores in maladaptive strategies. Statistically significant differences between profiles 1 and 3, in the pre-confinement depression variable (F'2,91=6.18;p=.00) and during confinement (F'2,91=4.02;p=.02). Profile 3 higher depressive symptomatology (x̄1=17.16;x̄2=16.80) than 1 (x̄1=8.41;x̄2=9.65). Differences between profile 1 and 2 and 3 in depression 8 months after confinement (F’2,91=4.02;p=.02). Profile 1 lower levels of depression (x̄3=98.00) than 2 (x̄3=15.78) and 3 (x̄3=14.20). Profiles explain 12.3%, 8.4% and 12.5% of the depression variance in each wave. Conclusions:a "protected profile" (1), a "medium-term vulnerable profile" (2) and a "vulnerable profile" (3) to the development of depressive symptomatology.
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Delatorre, Marina Zanella y Adriana Wagner. "How Do Couples Disagree? An Analysis of Conflict Resolution Profiles and the Quality of Romantic Relationships". Revista Colombiana de Psicología 28, n.º 2 (1 de julio de 2019): 91–108. http://dx.doi.org/10.15446/rcp.v28n2.72265.
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This study aimed to identify conflict resolution profiles and assess relationship quality levels associated with each profile. The participants were 750 heterosexual couples living in southern Brazil. They filled out measures about conflict resolution strategies, relationship quality, and sociodemographic data. A latent profile analysis was conducted in order to classify participants regarding conflict resolution. Variance and association analyses were also conducted in order to examine relationships between the resolution profiles and other study variables. Four profiles were identified: Low Conflict/Withdraw, Validator, Hostile, and Volatile. The Validator profile showed higher relationship quality, followed by Low Conflict/Withdraw and Volatile profiles, which did not differ from each other, and the Hostile, which showed low levels of relationship quality. We conclude that even though validation and negotiation are desirable, emotionally intense strategies may also be beneficial for couples in some contexts.
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Rousopoulos, Evangelos, Carlton Cooke, Giorgos Paradisis, Elias Zacharogiannis, Eleni Patrikia Kouyoufa y Kevin Till. "The Physiological Profile of Male Professional Soccer Players: The Effect of Playing Division". Journal of Biomedical Research & Environmental Sciences 2, n.º 11 (diciembre de 2021): 1078–84. http://dx.doi.org/10.37871/jbres1351.
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The purpose of this study was to present the physiological profile of male soccer players who compete in the professional (Division [D] 1, 2, 3) and semi-professional (D4) Greek soccer leagues, and to compare their physiological profile according to playing division. Using 1,095 players (age: 25.2 ± 4.7 years), twelve anthropometric and physiological characteristics (age, height, body mass, BMI, VO2max, velocity of VO2max velocity at ventilatory threshold, maximum heart rate, maximum lactate, squat jump, 35 m sprint and sprinting fatigue index) were assessed. Factorial analysis of variance revealed a significantly (p < 0.05) enhanced physiological profile amongst the professional, compared to semi-professional players, for 10 of the 12 characteristics assessed between divisions. Regarding aerobic parameters, velocity at maximum oxygen uptake was the variable which discriminated professional, from semi-professional players most. With reference to anaerobic parameters, the 35m sprint was the variable which differentiated players between divisions (i.e. D1/D2 vs. D3/D4). Overall, findings in this study present the physiological profile of soccer players within the specified Greek soccer divisions, with differences identified between professional, and semi-professional divisions. These findings suggest that advanced physiological profiles may contribute to a player’s progression to higher divisions of Greek professional soccer.
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Snippe, Herman P. "Parameter Extraction from Population Codes: A Critical Assessment". Neural Computation 8, n.º 3 (abril de 1996): 511–29. http://dx.doi.org/10.1162/neco.1996.8.3.511.
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In perceptual systems, a stimulus parameter can be extracted by determining the center-of-gravity of the response profile of a population of neural sensors. Likewise at the motor end of a neural system, center-of-gravity decoding, also known as vector decoding, generates a movement direction from the neural activation profile. We evaluate these schemes from a statistical perspective, by comparing their statistical variance with the minimum variance possible for an unbiased parameter extraction from the noisy neuronal ensemble activation profile. Center-of-gravity decoding can be statistically optimal. This is the case for regular arrays of sensors with gaussian tuning profiles that have an output described by Poisson statistics, and for arrays of sensors with a sinusoidal tuning profile for the (angular) parameter estimated. However, there are also many cases in which center-of-gravity decoding is highly inefficient. This includes the important case where sensor positions are very irregular. Finally, we study the robustness of center-of-gravity decoding against response nonlinearities at different stages of an information processing hierarchy. We conclude that, in neural systems, instead of representing a parameter explicitly, it is safer to leave the parameter coded implicitly in a neuronal ensemble activation profile.
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Piorunek, Magdalena, Teresa Chirkowska-Smolak, Tomasz Górecki y Żaneta Garbacik. "Person-Centered Insights into Academic Burnout". New Educational Review 78, n.º 4 (2024): 67–80. https://doi.org/10.15804/tner.2024.78.4.05.
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This quantitative study explored the profiles of academic burnout among students using Latent Profile Analysis (LPA). This study seeks to identify distinct burnout profiles in the Polish university student population. Using the Maslach Burnout Inventory-Student Scale (MBI-SS) adapted for Polish students, we analyzed data from 939 students across various disciplines and years of study, focusing on exhaustion, cynicism, and inefficacy. After using LPA ones were identified: minimal, moderate, and elevated risk of burnout, highlighting the variance in how burnout manifests among students. The findings underscore the importance of tailoring interventions to the specific needs of each burnout profile.
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Mitchell, D. A., M. Wimbush, D. R. Watts y W. J. Teague. "The Residual GEM Technique and Its Application to the Southwestern Japan/East Sea". Journal of Atmospheric and Oceanic Technology 21, n.º 12 (1 de diciembre de 2004): 1895–909. http://dx.doi.org/10.1175/jtech-1668.1.
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Abstract The standard gravest empirical mode (GEM) technique for utilizing hydrography in concert with integral ocean measurements performs poorly in the southwestern Japan/East Sea (JES) because of a spatially variable seasonal signal and a shallow thermocline. This paper presents a new method that combines the U.S. Navy's Modular Ocean Data Assimilation System (MODAS) static climatology (which implicitly contains the mean seasonal signal) with historical hydrography to construct a “residual GEM” from which profiles of such parameters as temperature (T) and specific volume anomaly (δ) can be estimated from measurements of an integral quantity such as geopotential height or acoustic echo time (τ). This is called the residual GEM technique. In a further refinement, sea surface temperature (SST) measurements are included in the profile determinations. In the southwestern JES, profiles determined by the standard GEM technique capture 70% of the T variance and 64% of the δ variance, while the residual GEM technique using SST captures 89% of the T variance and 84% of the δ variance. The residual GEM technique was applied to optimally interpolated τ measurements from a two-dimensional array of pressure-gauge-equipped inverted echo sounders moored from June 1999 to July 2001 in the southwestern JES, resulting in daily 3D estimated fields of T and δ throughout the region. These estimates are compared with those from direct measurements and good agreement is found between them.
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Bor, Sabahattin, Fatih Kazancı y Artemisa Adıgüzel. "Preference for different lip positions in a Turkish population". International Dental Research 8, n.º 3 (30 de diciembre de 2018): 123–30. http://dx.doi.org/10.5577/intdentres.2018.vol8.no3.5.
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Aim: This study evaluated the preferences for different lip positions among dental students, dentists, laypersons, and patients.
Methodology: Average female and male silhouette profiles were constructed from published soft tissue data for the Turkish population. The lips in each average profile were protruded or retruded in 2 mm increments with respect to Ricketts’ E-line. Five images were created from the average profile and arranged randomly. Then, 54 dental students, 55 dentists, 46 laypersons, and 60 orthodontic patients were asked to rate each silhouette profile from 1 (least attractive) to 10 (most attractive). The independent t-test was used to analyze the effect of gender on preference and one-way analysis of variance was used to determine whether there were differences among the groups.
Results: The dentists favored profile ‘a’ (+2 mm protruded), while the other groups favored profile ‘e’ (average profile) in both sexes. Profile ‘d’ was the least favored profile, except in the dentists group. For the dental students, profile ‘d’ was the least favored of the male profiles and ‘c’ was the least favored of the female profiles. There were significant differences among the groups when assessing male profiles ‘a’, ‘c’ (p<0.01), and ‘b’ (p<0.05).
Conclusion: The average profile image was favoured and the image that showed slight (+2 mm) lip protrusion was preferred second. All rater groups tolerated changes of ±2 mm with respect to the average lip position.
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Yao, Weixin. "A profile likelihood method for normal mixture with unequal variance". Journal of Statistical Planning and Inference 140, n.º 7 (julio de 2010): 2089–98. http://dx.doi.org/10.1016/j.jspi.2010.02.004.
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Atashgar, Karim, Amirhossein Amiri y Mahdi Keramatee Nejad. "Monitoring Allan variance nonlinear profile using artificial neural network approach". International Journal of Quality Engineering and Technology 5, n.º 2 (2015): 162. http://dx.doi.org/10.1504/ijqet.2015.071656.
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Zhou, Jie, Jian Xin Hui, Lei Wu y Yu Chun Gao. "Based on the Minimum Variance Spectral Estimation of Radar Wind Profile Analysis". Advanced Materials Research 181-182 (enero de 2011): 82–87. http://dx.doi.org/10.4028/www.scientific.net/amr.181-182.82.
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In this paper, we apply minimum variance method for removing automatically ground and intermittent clutter (airplane echo) from wind profiler radar data. Using the concept of discrete multi-resolution analysis and non-parametric estimation theory, we develop Doppler echo power spectral, which allow us to identify the coefficients relevant for clutter and to suppress them in order to effectively restrain and remove clutter and increase the wind profile radar detection range and accuracy; must be on the air back to the effective spectrum of the spectral moments estimation. Using MATLAB simulation analysis , compared with the conventional method of analysis to verify the feasibility and effectiveness of the algorithm, also, try the algorithm is applied to the complexity of the weather with a strong interference case of precipitation particles; Data analysis showed that the actual detection, from the library in the lower spectrum moment estimation has been improved significantly.
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Gao, Yihan, Yumeng Guo y Yongliang Wang. "Chinese English as a Foreign Language College Students’ Emotional Intelligence and Willingness to Communicate: A Latent Profile Analysis". Perceptual and Motor Skills 132, n.º 1 (febrero de 2025): 119–43. https://doi.org/10.1177/00315125241283151.
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In language learning, communication is essential, where learners’ desire and willingness to interact with others are significant in honing their communication capabilities alongside other necessary competencies. There are many factors that influence students’ willingness to communicate (WTC), among which the correlation between emotional intelligence and WTC still needs to be further researched. To investigate the emotional intelligence profiles of Chinese EFL college students and to examine different levels of their willingness to communicate, we recruited 476 Chinese English as a foreign language (EFL) learners across 11 provinces to complete our questionnaire. Through latent profile analysis (LPA) and one way analysis of variance, we found that there were four EI profiles of Chinese EFL college students: Emotionally Challenged (EC), Emotionally Struggling (ES), Emotionally Average (EA), and Emotionally Proficient (EP), among which most students (63%) fell into the EA profile. The EC profile (17%) was the second largest profile. We also found that each of the four profiles had unique WTC characteristics, with and different dimensions of WTC including, speaking, reading, writing, and comprehension. Notably, the EC profile demonstrated the lowest WTC level among the four profiles, whereas the EP profile displayed the highest overall WTC level. These findings are meaningful for comprehending students’ emotional intelligence profiles within language learning environments, and they provide valuable insights for educators to address diverse students’ needs to enhance their WTC.
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Xian, Jinhong, Ning Zhang, Chao Lu, Honglong Yang y Zongxu Qiu. "Novel Method for Determining the Height of the Stable Boundary Layer under Low-Level Jet by Judging the Shape of the Wind Velocity Variance Profile". Remote Sensing 15, n.º 14 (21 de julio de 2023): 3638. http://dx.doi.org/10.3390/rs15143638.
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The height of the stable boundary layer is a key parameter in atmospheric transmission and diffusion, air quality, emergency response, wind energy, and numerical weather prediction models. Existing methods mainly determine the stable boundary layer height via a threshold or minimum value of the wind speed variance under a low-level jet. Based on multi-meteorological element data from a meteorological gradient observation tower, this paper revealed the limitations of existing methods from the perspective of dynamic and thermal effects. In this paper, it is demonstrated that there were four types of shapes of the wind speed variance profile under the low-level jet and a method for using the shape of the variance profile to retrieve the height of the stable boundary layer was proposed. This method distinguished different types of wind speed variance profiles and solved the problems of the misjudgment and omissions (about 34%) present in existing methods. Our experiment showed that the average absolute error of the proposed method was less than 18 m and the average relative error was less than 9%. The results showed that the proposed inversion method was extended to all kinds of wind field detection equipment for inversion of the stable boundary layer height and has very high universality.
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Frank, M. E., S. L. Bieber y D. V. Smith. "The organization of taste sensibilities in hamster chorda tympani nerve fibers." Journal of General Physiology 91, n.º 6 (1 de junio de 1988): 861–96. http://dx.doi.org/10.1085/jgp.91.6.861.
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Electrophysiological measurements of nerve impulse frequencies were used to explore the organization of taste sensibilities in single fibers of the hamster chorda tympani nerve. Moderately intense taste solutions that are either very similar or easily discriminated were applied to the anterior lingual surface. 40 response profiles or 13 stimulus activation patterns were considered variables and examined with multivariate statistical techniques. Three kinds of response profiles were seen in fibers that varied in their overall sensitivity to taste solutions. One profile (S) showed selectivity for sweeteners, a second (N) showed selectivity for sodium salts, and a third (H) showed sensitivity to salts, acids, and other compounds. Hierarchical cluster analysis indicated that profiles fell into discrete classes. Responses to many pairs of effective stimuli were covariant across profiles within a class, but some acidic stimuli had more idiosyncratic effects. Factor analysis of profiles identified two common factors, accounting for 77% of the variance. A unipolar factor was identified with the N profile, and a bipolar factor was identified with the S profile and its opposite, the H profile. Three stimulus activation patterns were elicited by taste solutions that varied in intensity of effect. Hierarchical cluster analysis indicated that the patterns fell into discrete classes. Factor analysis of patterns identified three common unipolar factors accounting for 82% of the variance. Eight stimuli (MgSO4, NH4Cl, KCl, citric acid, acetic acid, urea, quinine HCl, HCl) selectively activated fibers with H profiles, three stimuli (fructose, Na saccharin, sucrose) selectively activated fibers with S profiles, and two stimuli (NaNO3, NaCl) activated fibers with N profiles more strongly than fibers with H profiles. Stimuli that evoke different patterns taste distinct to hamsters. Stimuli that evoke the same pattern taste more similar. It was concluded that the hundreds of peripheral taste neurons that innervate the anterior tongue play one of three functional roles, providing information about one of three features that are shared by different chemical solutions.
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Yue, Lingling, Qinghuang Huang, Luqiang Li y Peiyong Wang. "Equivalent value of non-uniform temperature field for thermocouple measurement". Advances in Engineering Technology Research 4, n.º 1 (22 de marzo de 2023): 371. http://dx.doi.org/10.56028/aetr.4.1.371.2023.
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The incoming flow is assumed to have a uniform temperature profile when the energy balance of a thermocouple bead is analyzed for the purpose of measurement corrections, which is hardly true in real applications. The incoming temperature is normally non-uniform and the temperature of the flow closer to the bead has a stronger influence on the bead temperature. Considering this, for the first time, a Gaussian probability density function is established to generate an equivalent temperature of the non-uniform temperature field, which can be used in the corrections. With the one-dimensional thermocouple heat transfer program, the bead temperatures are calculated with five non-uniform temperature profiles and compared with the bead temperatures with the uniform temperatures to find the variance correlation of the Gaussian function. The variance is correlated to the Nusselt number and the wire diameter and the bead diameter of the thermocouple. Many cases with different thermocouple sizes, velocities and temperature ranges and widths of the power function profile are simulated. For all the tested cases, the bead temperature differences between the real profiles and the equivalent profiles are less than 27K, demonstrating the good accuracy of the current method.
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Toma, Catalina. "Counting on Friends: Cues to Perceived Trustworthiness in Facebook Profiles". Proceedings of the International AAAI Conference on Web and Social Media 8, n.º 1 (16 de mayo de 2014): 495–504. http://dx.doi.org/10.1609/icwsm.v8i1.14509.
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Personal profiles on social network sites have become an important tool for social evaluation – that is, assessing profile owners’ characteristics (e.g., personality traits, narcissism, physical and social attractiveness). The present study is one of the first to examine how users’ trustworthiness is evaluated by naïve observers based on information contained in Facebook profiles, or profile cues. Drawing on uncertainty reduction theory, warranting theory, and hardwired perceptions of facial displays, we propose a framework that identifies cues associated with trustworthiness in Facebook profiles. Results show that six profile cues (number of friends, number of tagged photographs, number of “about me” categories filled out, number of comments and “likes” received from friends, and smiling profile photographs) explained about a third of the variance in Facebook users’ perceived trustworthiness. Number of friends had a curvilinear, U-shaped effect on trustworthiness perceptions, with an inflection point at about 500 friends. That is, trustworthiness decreased as number of friends increased up to 500, and then trustworthiness increased as number of friends increased beyond 500. Theoretical and design implications of the findings are discussed.
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Lehtinen, Sonja, Peter Ashcroft y Sebastian Bonhoeffer. "On the relationship between serial interval, infectiousness profile and generation time". Journal of The Royal Society Interface 18, n.º 174 (enero de 2021): 20200756. http://dx.doi.org/10.1098/rsif.2020.0756.
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The timing of transmission plays a key role in the dynamics and controllability of an epidemic. However, observing generation times—the time interval between the infection of an infector and an infectee in a transmission pair—requires data on infection times, which are generally unknown. The timing of symptom onset is more easily observed; generation times are therefore often estimated based on serial intervals—the time interval between symptom onset of an infector and an infectee. This estimation follows one of two approaches: (i) approximating the generation time distribution by the serial interval distribution or (ii) deriving the generation time distribution from the serial interval and incubation period—the time interval between infection and symptom onset in a single individual—distributions. These two approaches make different—and not always explicitly stated—assumptions about the relationship between infectiousness and symptoms, resulting in different generation time distributions with the same mean but unequal variances. Here, we clarify the assumptions that each approach makes and show that neither set of assumptions is plausible for most pathogens. However, the variances of the generation time distribution derived under each assumption can reasonably be considered as upper (approximation with serial interval) and lower (derivation from serial interval) bounds. Thus, we suggest a pragmatic solution is to use both approaches and treat these as edge cases in downstream analysis. We discuss the impact of the variance of the generation time distribution on the controllability of an epidemic through strategies based on contact tracing, and we show that underestimating this variance is likely to overestimate controllability.
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Cárdenas-Aguilar, Danilo y Tomás Echaveguren. "Comparison of consistency assessment models for isolated horizontal curves in two-lane rural highways". DYNA 82, n.º 194 (21 de diciembre de 2015): 57–65. http://dx.doi.org/10.15446/dyna.v82n194.44476.
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This consistency assessment of highways’ geometrical design has the objective of providing safer roads. There are two types of models for consistency assessment: aggregated and disaggregated. The first one considers the difference between design and operating speed at the middle point of isolated horizontal curves. The second one considers the spatial variation of the operating speed profile along the horizontal curve. This paper compares the two types of consistency assessment models, using naturalistic speed and geometry data obtained in 34 horizontal curves of two-lane rural roads in Chile, using a 10 Hz GPS. Results obtained showed that in only 19 cases both methods are equivalent. This equivalence occurred only when operating speed profiles have the lowest spatial variance along the curves. If the operating speed profile has a high variance the consistency level obtained using both methods is different and the better option is combine it.
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Sung, Jung-Hye y Moo-Nyung Heo. "Differences in Cyber Violence Susceptibility by Latent Profile of children’s Sociability: the effects of Father’s Neuroticism and Emotional Dysregulation". Korean Association For Learner-Centered Curriculum And Instruction 23, n.º 14 (31 de julio de 2023): 93–106. http://dx.doi.org/10.22251/jlcci.2023.23.14.93.
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Objectives The purpose of this study is to classify the latent profile based on sociability among children in Korea, to explore effects of father’s neuroticism and emotional dysregulation as predictors and to identify the differences in cyber violence susceptibility by these latent profiles. Methods Questionnaire data from the 13th wave of Panel Study on Korean Children(PSKC) were analyzed. The data were analyzed using latent profile analysis(LPA), multinominal logistic regression model, and analysis of variance. Results Major findings were as following. First, as a result of latent profile analysis, the three-profile model that include ‘normal sociability group’, ‘low sociability group’ and ‘high sociability group’ was selected as the final model. Second, the predictors of latent profile were father’s neuroticism and emotional dysregulation. Third, there was significant difference in cyber violence susceptibility by the profiles. ‘low sociability group’ showed the lowest cyber violence susceptibility. Meanwhile, the difference between ‘high sociability group’ and ‘normal sociability group’ was not significant. Conclusions This study classified children's sociability by using LPA, and found that different interventions for each latent profile can be effective to enhance children's sociability. Our findings provide valuable implications to help children to get sociality.
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Duke, Kyle, Steven Myers, Daniela Cuenca y Jeanette Wallin. "Improving the Utilization of STRmix™ Variance Parameters as Semi-Quantitative Profile Modeling Metrics". Genes 14, n.º 1 (29 de diciembre de 2022): 102. http://dx.doi.org/10.3390/genes14010102.
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Distributions of the variance parameter values developed during the validation process. Comparisons of these prior distributions to the run-specific average are one measure used by analysts to assess the reliability of a STRmix deconvolution. This study examined the behavior of three different STRmix variance parameters under standard amplification and interpretation conditions, as well as under a variety of challenging conditions, with the goal of making comparisons to the prior distributions more practical and meaningful. Using information found in STRmix v2.8 Interpretation Reports, we plotted the log10 of each variance parameter against the log10 of the template amount of the highest-level contributor (Tc) for a large set of mixture data amplified under standard conditions. We observed nonlinear trends in these plots, which we regressed to fourth-order polynomials, and used the regression data to establish typical ranges for the variance parameters over the Tc range. We then compared the typical variance parameter ranges to log10(variance parameter) v log10(Tc) plots for mixtures amplified and interpreted under a variety of challenging conditions. We observed several distinct patterns to variance parameter shifts in the challenged data interpretations in comparison to the unchallenged data interpretations, as well as distinct shifts in the unchallenged variance parameters away from their prior gamma distribution modes over specific ranges of Tc. These findings suggest that employing empirically determined working ranges for variance parameters may be an improved means of detecting whether aberrations in the interpretation were meaningful enough to trigger greater scrutiny of the electropherogram and genotype interpretation.
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Sánchez-Bajo, F. y F. L. Cumbrera. "The Use of the Pseudo-Voigt Function in the Variance Method of X-ray Line-Broadening Analysis". Journal of Applied Crystallography 30, n.º 4 (1 de agosto de 1997): 427–30. http://dx.doi.org/10.1107/s0021889896015464.
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A modified application of the variance method, using the pseudo-Voigt function as a good approximation to the X-ray diffraction profiles, is proposed in order to obtain microstructural quantities such as the mean crystallite size and root-mean-square (r.m.s.) strain. Whereas the variance method in its original form is applicable only to well separated reflections, this technique can be employed in the cases where there is line-profile overlap. Determination of the mean crystallite size and r.m.s. strain for several crystallographic directions in a nanocrystalline cubic sample of 9-YSZ (yttria-stabilized zirconia) has been performed by means of this procedure.
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Li, Mei, Md Zahir Ahmed, Fatema Akhter Hiramoni, Aibao Zhou, Oli Ahmed y Mark D. Griffiths. "Mental Health and Personality Traits during COVID-19 in China: A Latent Profile Analysis". International Journal of Environmental Research and Public Health 18, n.º 16 (17 de agosto de 2021): 8693. http://dx.doi.org/10.3390/ijerph18168693.
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During the COVID-19 pandemic, mental health problems have increased and are likely to be influenced by personality traits. The present study investigated the association between personality traits and mental health problems (anxiety, depression, post-traumatic stress syndrome (PTSD) symptoms, and obsessive–compulsive disorder (OCD) symptoms) through the person-centered approach because this has some advantages over the variable-centered approach. The data were collected from a sample of 765 Chinese citizens who participated in an online survey in October 2020. Latent profile analysis identified three latent personality profiles—highly adaptive, adaptive, and maladaptive. Highly adaptive individuals had higher extroversion, agreeableness, conscientiousness, openness, and lower neuroticism, while maladaptive individuals had lower extroversion, agreeableness, conscientiousness, openness, and higher neuroticism. Multivariate analysis of variance results showed that individuals with highly adaptive profiles had lower anxiety, depression, and PTSD symptoms compared to individuals with adaptive and maladaptive profiles. The findings of the present study indicate mental health professionals would benefit from formulated intervention plans given the association between latent personality profiles and mental health problems.
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Lippert, Helge y Victor Dulewicz. "A profile of high-performing global virtual teams". Team Performance Management: An International Journal 24, n.º 3/4 (11 de junio de 2018): 169–85. http://dx.doi.org/10.1108/tpm-09-2016-0040.
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PurposeThere is a paucity of research into high-performing virtual teams. This study aims to design and test a model of virtual team performance and to produce a profile of high-performing teams.Design/methodology/approachThe main constructs found to have influenced virtual team performance in business were trustworthiness, commitment, communication characteristics, cross-cultural communication style and structure effects. New or revised scales to measure these and a new performance measure, based on five performance criteria, were developed. A research model was designed and tested, and a profile of high-performance teams produced. The sample from a global telecoms company comprised 108 global virtual teams. Two senior managers rated performance independently.FindingsHierarchical regression results explained 75.7 per cent of the variance of performance. Analysis of variance revealed that model fit was highly statistically significant. Trustworthiness was identified as the predominant factor, explaining a majority of the dependent variable’s variance, while interpersonal communication, commitment and cross-cultural communication style were also identified as important. The 52 items differentiating high- and low-performing teams are reported and discussed.Originality/valueThe research model makes a contribution to team performance theory and understanding, especially the relative importance of constructs for explaining performance. The profile of high-performing teams adds greatly to our knowledge and provides valuable guidance for team management, selection and development.
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Kholtygin, A. F. y N. P. Sudnik. "Smoothed Temporal Variance Spectrum: weak line profile variations and NRP diagnostics". Monthly Notices of the Royal Astronomical Society 458, n.º 2 (23 de febrero de 2016): 1604–17. http://dx.doi.org/10.1093/mnras/stw412.
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Branger, Camille, Joe Enright, Megan E. O’Connell y Debra G. Morgan. "Variance in caregiver burden predicted by patient behaviors versus neuropsychological profile". Applied Neuropsychology: Adult 25, n.º 5 (23 de mayo de 2017): 441–47. http://dx.doi.org/10.1080/23279095.2017.1323754.
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Zhang, Sijun, Ke Xiao y Zhen Tian. "Burnout and Personality Profiles Among Chinese Nurses". Behavioral Sciences 14, n.º 12 (21 de noviembre de 2024): 1117. http://dx.doi.org/10.3390/bs14121117.
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Although many studies have examined the relationship between the five dimensions of personality and nurse burnout, few studies have examined the relationship between nurse burnout and the overall personality profile. In addition, nurses’ demographic characteristics have been found to be related to nurses’ burnout level, but the results have been inconsistent. This study aimed to determine personality profiles based on the Big Five personality model in a sample of Chinese nurses then analyze the relationship between burnout and personality profiles and demographics. A total of 1423 nurses were sampled and assessed using the Big Five Inventory and the Oldenburg Burnout Inventory. A k-means cluster analysis was used to divide participants into different personality profiles. Multivariate analysis of variance and binomial logistic regression were used to examine the relationship of burnout with personality profiles and demographics. Cluster analysis identified three personality profiles among nurses: resilient, ordinary, and distressed. For each dimension of the Big Five Inventory and Oldenburg Burnout Inventory, there was a significant difference between different personality profiles, with effect sizes being from 0.37 to 0.57. Nurses with a distressed personality profile were 4.52 times more likely to be diagnosed with burnout than nurses with an ordinary profile, while nurses with a resilient personality profile had a 55% reduction in burnout compared to nurses with an ordinary profile. The results suggested that hospital administrators should focus on nurses with a distressed personality profile to identify potential burnout nurses as early as possible. The findings also enabled hospital administrators to consider the different personality profiles of nurses and the specific requirements of the job to select suitable candidates.
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Tanaka, Hirokazu, Meihua Tai y Ning Qian. "Different Predictions by the Minimum Variance and Minimum Torque-Change Models on the Skewness of Movement Velocity Profiles". Neural Computation 16, n.º 10 (1 de octubre de 2004): 2021–40. http://dx.doi.org/10.1162/0899766041732431.
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We investigated the differences between two well-known optimization principles for understanding movement planning: the minimum variance (MV) model of Harris and Wolpert (1998) and the minimum torque change (MTC) model of Uno, Kawato, and Suzuki (1989). Both models accurately describe the properties of human reaching movements in ordinary situations (e.g., nearly straight paths and bell-shaped velocity profiles). However, we found that the two models can make very different predictions when external forces are applied or when the movement duration is increased. We considered a second-order linear system for the motor plant that has been used previously to simulate eye movements and single-joint arm movements and were able to derive analytical solutions based on the MV and MTC assumptions. With the linear plant, the MTC model predicts that the movement velocity profile should always be symmetrical, independent of the external forces and movement duration. In contrast, the MV model strongly depends on the movement duration and the system's degree of stability; the latter in turn depends on the total forces. The MV model thus predicts a skewed velocity profile under many circumstances. For example, it predicts that the peak location should be skewed toward the end of the movement when the movement duration is increased in the absence of any elastic force. It also predicts that with appropriate viscous and elastic forces applied to increase system stability, the velocity profile should be skewed toward the beginning of the movement. The velocity profiles predicted by the MV model can even show oscillations when the plant becomes highly oscillatory. Our analytical and simulation results suggest specific experiments for testing the validity of the two models.
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Besnard, Guillaume, Catherine Breton, Philippe Baradat, Bouchaib Khadari y André Bervillé. "Cultivar Identification in Olive Based on RAPD Markers". Journal of the American Society for Horticultural Science 126, n.º 6 (noviembre de 2001): 668–75. http://dx.doi.org/10.21273/jashs.126.6.668.
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One hundred and thirteen olive (Olea europaea L.) accessions were characterized using randomly amplified polymorphic DNA (RAPD) markers. Forty-five polymorphic RAPD markers were obtained enabling us to distinguish 102 different RAPD profiles. The approximate estimation of the probability of obtaining the same RAPD profile for two different trees was between 6.75 × 10-5 and 4.82 × 10-14. A dendrogram was constructed using Ward's minimum variance algorithm based on chi-square distances. This led to a more clear-cut classification of profiles than the classical approach of unweighted pair group method with arithmetic average. Twenty-four clusters of RAPD profiles were shown in Ward's dendrogram. Reliability of the dendrogram structure was checked using variance analysis. RAPD data exhibited an acceptable resolving power for cultivar identification. A combination of three primers was proposed for rapid molecular identification of cultivars in collections and in nurseries.