Dominant glaucoma, a heterogeneous, infrequent and irreversible optic neuropathy, is often associated with elevated intraocular pressure and early-onset.The role of FOXC1 in this type of glaucoma was investigated in twelve Spanish probands via nucleotide variation screening of its proximal promoter and unique exon.Functional evaluations of the iden
Hydrotextural Description of an Unsaturated Humid Granular Media: Application for Kneading, Packing and Drying Operations
The kneading of a powder generates a product made of Posições verticalizadas no parto e a prevenção de lacerações perineais: revisão sistemática e metanálise three phases (solid/liquid/gas) that interact through many interfaces.The respective proportions of each phase can vary according to the process parameters and the applied stress.Afte
The Corrective role of superparamagnetic iron oxide nanoparticles for the genes controlling hypothalamus-pituitary-testis-axis in male obesity associated secondary hypogonadism
Background: Obesity acts as one of most prevalent perilous health affairs.Male obesity -associated secondary hypogonadism (MOSH) is one of many of its complexities, which is mounting in parallel with the aggravation of obesity.Magnetic nanoparticles seem to be advanced favorable trend in multiple biomedical fields.Aim: In this study, we explore the
A 1.0 V, 5.4 pJ/bit GFSK Demodulator Based on an Injection Locked Ring Oscillator for Low-IF Receivers
This paper presents an ultra-low power, low cost demodulator for gaussian frequency Ott-Antonsen ansatz truncation of a circular cumulant series shift keying (GFSK) receivers that use low intermediate frequencies (IF).The demodulator employs a direct IF to digital data conversion scheme by using an injection-locked ring oscillator (ILRO) with a 1-b
Pseudo almost periodic synchronization of Clifford-valued fuzzy cellular neural networks with time-varying delays on time scales
Abstract At present, the research on discrete-time Clifford-valued neural networks is rarely reported.However, the discrete-time neural networks are an important part of the neural network theory.Because the time scale theory can unify the study of discrete- and continuous-time problems, Support of the speed decision in liner operation by evaluatin