A Maple algorithm for the computation of the zeros of orthogonal polynomials (OPs) and special functions (SFs) in a given interval [x1, x2] is presented. The program combines symbolic and numerical calculations and it is based on fixed point iterations. The program uses as inputs the analytic expressions for the coefficients of the three-term recurrence relation and a differencedifferential rel...

The ENGINE study evaluated noninvasive skin fluorescence spectroscopy (SFS) for detection of abnormal glucose tolerance (AGT). The AGT detection performance of SFS was compared to fasting plasma glucose (FPG) and hemoglobin A1C (A1C). The study was a head-to-head comparison of SFS to FPG and A1C in an at-risk population of 507 subjects, with no prior diagnosis of diabetes, each of whom received...

The culture of synovial fibroblasts (SFs) is one of the most effective tools for investigating the pathology and physiology of synovial tissues and should prove useful for identifying the importance of SFs in disease as well as for the development of novel therapeutic approaches for several chronic joint diseases, such as rheumatoid arthritis. However, thus far, a detailed protocol for the prim...

Virtual Private Networks (VPN) and link sharing are cost effective way of realizing corporate intranets. Corporate intranets will increasingly have to provide Integrated Services for voice and multimedia traffic. Although packet scheduling algorithms can be used to implement Integrated Services in link sharing [1] and virtual private networks [2], their statistical multiplexing gains are limite...

Unlike existing global shape-from-shading (SFS) algorithms which involve the brightness constraint in their formulation, we propose a new SFS algorithm which replaces the brightness constraint with an intensity gradient constraint. This is a global approach which obtains the solution by the minimization of an error function over the entire image. Through the linearization of the gradient of the...

The shape-from-shading (SFS) technique deals with the recovery of shape of an object through a gradual variation of shading encoded in the image. Most SFS approaches have assumed Lambertian surface to extract DEM from individual images. The quality of the derived DEM from radar SFS in particular, depends on the appropriate radar reflectance model, which relates the radar backscatter to the surf...

BACKGROUND Surgical repair of the superficial fascial system (SFS) has been claimed to both increase wound strength and enhance surgical outcome through anchoring of deeper tissues. OBJECTIVE The authors assessed the biomechanical properties of the SFS to determine whether repair of the SFS layer improved early and long-term postoperative wound strength. METHODS Four complementary studies w...

Nonnegative matrix factorization (NMF) is a useful method to extract features from multivariate data, but an important and sometimes neglected concern that NMF can result in nonunique solutions. Often, there exist set of feasible solutions (SFS), which makes it more difficult interpret the factorization. This problem especially ignored cancer genomics, where used infer information about mutatio...

In rheumatoid arthritis (RA), synovial fibroblasts (RA-SFs) accumulate in affected joints, where they play roles in inflammation and joint destruction. RA-SFs exhibit tumor-like proliferation and are resistant to apoptosis. Although RA-SF activation is well described, negative regulators of RA-SF activation are unknown. We previously reported that histone deacetylase (HDAC) inhibitors facilitat...

In this study, a novel hybridization approach, which is called CMASFS and based on the covariance matrix adaptation evolution strategy (CMA-ES) stochastic fractal search (SFS) algorithms. To make proposed algorithm dynamic, Gaussian walk equations involved in diffusion process of SFS have been updated decide to use equations. The effectiveness tested using CEC2017 benchmark functions having uni...