General linear methods

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  • By using general methods in sports, the research has determined a linear correlation between the flying speed of the shuttlecock and the identified indicators, indexes, and parameters. At the same time, this research determines the influence proportion and the multifactorial relationship between the groups of components on the effectiveness of the smash movements for athletes.

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  • Many circular RNAs (circRNAs) are produced from back-splicing of exons of precursor mRNAs and are generally co-expressed with cognate linear RNAs. Methods for circRNA-specific knockout are lacking, largely due to sequence overlaps between forms. Here, we use base editors (BEs) for circRNA depletion.

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  • Carmoisine (E122) is a synthetic azo dye that is generally used to give a red color to food products. In this work, a sensitive and simple method was developed for the determination of carmoisine based on cloud point extraction. To obtain the optimum conditions for the extraction efficiency of carmoisine, the effects of different analytical parameters such as H2 SO4 concentration, concentration of Triton X-114, and equilibrium temperature were studied. The calibration graph was linear between 0.05 and 5.

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  • The purpose of this paper was to empirically assess the impact of oil prices on ASEAN+3 inflation and economic growth. The framework that can be applied to linear dynamic panel data to achieve this goal is the First Difference-Generalized Moment Method (FD-GMM) estimator method. This study used panel data representing ASEAN+3 countries and annual data over the period 2011-2020. The findings of the study indicated that, over the period, increasing oil prices were associated with higher inflation, and higher economic growth in ASEAN+3.

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  • In this work, solitary – wave solution of the generalized regularized long wave (GRLW) equation are obtained by using quintic B – spline collocation method. A linear new method based on collocation of quintic B – splines. Applying the von – Neumann stability analysis of the numerical scheme base on the von Neumann method is investigate.

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  • An Interior-point algorithm with a line-search globalization is proposed for solving the general nonlinear programming problem. At each iteration, the search direction is obtained as a resultant of two orthogonal vectors. They are obtained by solving two square linear systems. An upper-triangular linear system is solved to obtain the Lagrange multiplier vector. The three systems that must be solved each iteration are reduced systems obtained using the projected Hessian technique. This fits well for large-scale problems.

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  • State-of-the-art protein-ligand docking methods are generally limited by the traditionally low accuracy of their scoring functions, which are used to predict binding affinity and thus vital for discriminating between active and inactive compounds.

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  • High-throughput sequencing experiments, which can determine allele origins, have been used to assess genome-wide allele-specific expression. Despite the amount of data generated from high-throughput experiments, statistical methods are often too simplistic to understand the complexity of gene expression.

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  • Power analysis becomes an inevitable step in experimental design of current biomedical research. Complex designs allowing diverse correlation structures are commonly used in RNA-Seq experiments. However, the field currently lacks statistical methods to calculate sample size and estimate power for RNA-Seq differential expression studies using such designs.

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  • A Bayesian approach with frequentist validity has been developed to support inferences derived from a BLevel A^ in vivo-in vitro correlation (IVIVC). Irrespective of whether the in vivo data reflect in vivo dissolution or absorption, the IVIVC is typically assessed using a linear regression model. Confidence intervals are generally used to describe the uncertainty around the model. While the confidence intervals can describe population-level variability, it does not address the individual-level variability.

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  • This paper aims to assess the performance of China’s banks by their geographical distribution of loans and deposits, with the application of Generalized Estimating Equation (GEE) method’s multiple linear regression. We chose one of the four largest banks, Agriculture Bank of China, with data from 1990 to 2008 as the sample bank. We identified that branches’ performances in the Yangtze River Delta ranked first and were followed by the Pearl River Delta.

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  • The study used a semi-structured interview method, the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) tool and general linear models to investigate the influence of natural and human-derived components on the rice provisioning service at six villages. The results showed that along with the importance of applying a fertilizer-based system in the terraced rice ecosystem, topology- and hydrology-based systems have been influencing significantly on water and nutrient supply for irrigation on terraced rice fields.

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  • Studies examining dividend policy within a developing market in the context of hyperinflation and dollarization are scarce. This study investigates the possibility of non-linearity in the determinants of corporate dividend policy; assessed how dividend policy is affected by other financial decisions and tests the applicability of the Lintner model. Panel ordinary least squares (OLS) and generalized methods of moments (GMM) techniques were employed for Zimbabwe listed, 2000 to 2016. The Lintner model is applicable under hyperinflation only and it can be specified as a non-linear function.

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  • This paper presents an efficient and accurate numerical technique based upon the scaled boundary finite element method for the analysis of two-dimensional, linear, second-order, boundary value problems with the domain completely described by a circular defining curve. The scaled boundary finite element formulation is established in a general framework allowing single-field and multi-field problems, bounded and unbounded bodies, distributed body source, and general boundary conditions to be treated in a unified fashion.

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  • Two families of certain nonsymmetric generalized Jacobi polynomials with negative integer indexes are employed for solving third- and fifth-order two point boundary value problems governed by homogeneous and nonhomogeneous boundary conditions using a dual Petrov–Galerkin method. The idea behind our method is to use trial functions satisfying the underlying boundary conditions of the differential equations and the test functions satisfying the dual boundary conditions.

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  • In this paper we generalize an infeasible interior-point method for linear optimization to horizontal linear complementarity problem (HLCP). This algorithm starts from strictly feasible iterates on the central path of a perturbed problem that is produced by suitable perturbation in HLCP problem. Then, we use so-called feasibility steps that serves to generate strictly feasible iterates for the next perturbed problem.

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  • In the case of stationary motion, the generalized Ritz's method has been applied to obtain system of linear differential equations with periodic coefficients. We have written computer programs to check conditions of dynamic stability and to find periodic solutions of the obtained equations. Numerical examples are given and from which the effect of elastic factors on articulation reactions is evaluated.

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  • Thus the aim is to determine the solution of a known PDE defined throughout the domain, which satisfies the superabundant data and then identifies the missing ones. For linear symmetric operators, we propose a general method to solve the data completion problem as a Cauchy problem. Various applications are described for stationary conduction and elastostatic problems.

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  • Wind power plants can be realized with different generator types using different control principles. The choice of the generator regardless of control method, potentially destabilizes the grid, and can even lead to grid collapse. For independent grid (e.g. on islands) this risk is especially great. The report aimed at giving the reader a general overview of the control methods, and the developers a better understanding of each generator type to get the right choice for their wind power project.

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  • (bq) part 2 book "an introduction to statistical methods and data analysis" has contents: linear regression and correlation, multiple regression and the general linear model; further regression topics, analysis of variance for blocked designs, the analysis of covariance; analysis of variance for some unbalanced designs

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