The study was conducted to know the rate of maternally derived antibodies (MDAs) transfer from parents to their offspring and declining the MDAs in their chicks at 0, 7, 14, and 21 days of age against four major poultry viruses like Newcastle disease virus (NDV), Infectious bronchitis virus (IBV), Infectious bursal diseases virus (IBDV), and Avian Reo virus (ARV). The MDAs was studied on Grandp...

Context. Recent studies of massive stars using high-precision space photometry have revealed that they commonly exhibit stochastic low-frequency (SLF) variability. This has been interpreted as being caused by internal gravity waves excited at the interface convective and radiative regions within stellar interiors, such core or sub-surface convection zones, dynamic turbulence associated with zon...

Abstract We construct the catalogues of standard sirens (StS) based on future gravitational wave (GW) detector networks, i.e., second-generation ground-based advanced LIGO+advanced Virgo+KAGRA+LIGO-India (HLVKI), third-generation Einstein Telescope+two Cosmic Explorer (ET+2CE), and space-based LISA+Taiji. From corresponding electromagnetic (EM) counterpart detectors for each we sample joint GW+...

BACKGROUND: The development of injectable sustained-release products are of great interest to veterinary pharmaceuticals and animal health business. Recently, great attention has been paid to in situ gel-forming chitosan/beta-glycerophosphate (chitosan/β-GP) solutions due to their good biodegradability and thermosensitivity. OBJECTIVES: The general aim of this study was to prepare a novel in si...

Posynomial models are widely used in various engineering design endeavors, such as circuits, aerospace and structural design, mainly due to the fact that design problems cast in terms of posynomial objectives and constraints can be solved efficiently by means of a convex optimization technique known as geometric programming (GP). However, while quite a vast literature exists on GP-based design,...

Gaussian processes (GPs) are a powerful tool for probabilistic inference over functions. They have been applied to both regression and non-linear dimensionality reduction, and offer desirable properties such as uncertainty estimates, robustness to over-fitting, and principled ways for tuning hyper-parameters. However the scalability of these models to big datasets remains an active topic of res...

The monitoring of sports’ performance has become increasingly popular in the past years. For instance, high precision measurement of runners’ speed, foot pace and heart beat are available among others. Usually, coaches are interested in summary statistics of these data to assess the performance of their runners. However, it is uncommon to find a model that exploits the whole time series. The pr...