Supplementary Figure 1 Q-Q plots for the WTCCC data. Supplementary Note 1 The FaST-LMM algorithm.

Myosin null mutants of Dictyostelium are defective for cytoldnesis, multicellular development, and capping of surface proteins. We have used these cells as transformation recipients for an altered myosin heavy chain gene that encodes a protein bearing a carboxy-terminal 34-kD truncation. This truncation eliminates threonine phosphorylation sites previously shown to control filament assembly in ...

The increasing complexity of software development requires rigorously defined domain specific modelling languages (dsml). Model-driven engineering (mde) allows users to define their language’s syntax in terms of metamodels. Several approaches for defining operational semantics of dsml have also been proposed. These approaches allow, in principle, for model execution and for formal analyses of t...

A parameter-self-adjusting Levenberg-Marquardt method (PSA-LMM) is proposed for solving a nonlinear system of equations F (x) = 0, where F : R → R is a semismooth mapping. At each iteration, the LM parameter μk is automatically adjusted based on the ratio between actual reduction and predicted reduction. The global convergence of PSALMM for solving semismooth equations is demonstrated. Under th...

Hyperspectral unmixing is recognized as an important tool to learn the constituent materials and corresponding distribution in a scene. The physical spectral mixture model always tackle this problem because of its highly ill-posed nature. In article, we introduce linear (LMM)-based end-to-end deep neural network named SNMF-Net for hyperspectral unmixing. shares alternating architecture benefits...

Background Low muscle mass (LMM) has been associated with post-operative morbidity. This study aimed to examine the relationship between pre-operative LMM and major complications survival in patients undergoing curative resection for gastric cancer. Methods A single-centre retrospective cohort was conducted on consecutive who underwent surgical adenocarcinoma 2008 2018. Patient demographics, ra...

Measurements of the fraction of vegetation cover (FVC), retrieved from remotely sensed reflectance spectra, serves as a useful measure of land cover changes on the regional and global scales. A linear mixture model (LMM) is frequently employed to analytically estimate the FVC using the spectral vegetation index (VI) as a constraint. Variations in the application of this algorithm arise due to d...

The problems of artificial neural networks learning and their parallelisation are taken up in this article. The article shows comparison of the Levenberg-Marquardt’s method (LMM) and its two modifications JWM (method with Jacobian matrices formed in each step) and BKM (Jacobian calculations only in the first step) for training artificial neural networks. These algorithms have the following prop...

We consider the application of original Meyer–Miller (MM) Hamiltonian to mapping fermionic quantum dynamics classical equations motion. Non-interacting and bosonic systems share same one-body density when evolving from initial many-body state. The MM is exact for non-interacting bosons, therefore, it yields time-dependent fermions as well. Starting this observation, compared different mappings ...

The Intraclass Correlation Coefficient (ICC) is commonly used to estimate the similarity between quantitative measures obtained from different sources. Overdispersed data is traditionally transformed so that linear mixed model (LMM) based ICC can be estimated. A common transformation used is the natural logarithm. The reliability of environmental sampling of fecal slurry on freestall pens has b...