the forecasting of hydrological variables, such as streamflow, plays an important role in water resource planning and management. recently, the development of stochastic models is regarded as a major step for this purpose. streamflow forecasting using the arima model can be conducted when unknown parameters are estimated correctly because parameter estimation is one of the crucial steps in mode...

in order to investigate effect of methionine levels in starter diet on performance, immunity and blood parameter of arian broilers chickens during the starter period, a trial with 700 broiler chickens in a completely randomized design with 7 treatments, 5 replicates and 20 chicks in each experimental unit was performed. experimental groups were consisted of 0.38, 0.43, 0.48, 0.53, 0.58, 0.63 an...

Most work in the deep learning systems community has focused on faster inference, but arriving at a trained model requires lengthy experiments. Accelerating training lets developers iterate faster and come up with better models. DNN training is often seen as a compute-bound problem, best done in a single large compute node with many GPUs. As DNNs get bigger, training requires going distributed....

My intention in this paper is to outline and motivate a novel theory of syntactic bootstrapping, Exemplar-Based Phonological Bootstrapping (EBPB), based on Stochastic Tree-Substitution Grammar. Because I have outlined the basic structure of STSG in other places for assessed work on this degree, I will not recapitulate that work in the body of the present paper, but will instead quote it in full...

Introduction: Due to its simplicity, fast response and high reliability, ion chamber detectors are one of the most suitable dosimetry instruments for X and gamma rays. The dosimeter    of photon beams, which used in radiotherapy centers, requires high accuracy and should pass requirements of IEC 60731 standards. About 80 percent of the IEC 60731 standard tests such as stabil...