energy management is one of the main ways of the efficient use of energy resources. the prediction of crop yields based on energy inputs can help farmers and policymakers to estimate the level of production. required data for study were randomly collected from 70 broiler farms in north west of iran. the input energies were included human labour, machinery, fuel, feed and electricity and the out...

This study aims to analyze the influence and competence on employees performance of Central Statistics Agency (BPS) in Pangkalpinang City South Bangka Regency. type research is quantitative research. The object was BPS Regency with total population 40 people. analytical tools used this were: frequency analysis, descriptive validity test, reliability hypothesis testing, regression coefficient de...

Objective: A simple, direct and accurate spectrophotometric method has been developed for the determination of glimepiride (GLM) in pure and pharmaceutical formulations by complex formation with bromocresol green (BCG). Methods: The method involves the formation of a yellow ion-pair complex between bromocresol green reagent with glimepiride (C24H34N4O5S); after reacted it with Na2CO3 to give C2...

nowadays protecting land cover, quality and quantity of water resources are important. surface runoff is one of most important reasons of soil erosion which causes sediment in reservoirs and reduction of land’s fertility and also quality reduction water of rivers. so the main issue is exact prediction of basin runoff to raining events. the hydrologic models are simplified models of real hydrolo...

OBJECTIVE To measure the validity and reliability of the WOMAC, IKDC and Lysholm questionnaires among patients with knee osteoarthritis and determine the influence of age on their scores. METHOD Fifty-seven patients diagnosed with primary osteoarthritis of the knee answered the SF-36, WOMAC, IKDC and Lysholm questionnaires. Validity was tested by measuring the correlation (Pearson's correlati...

This study attempts to estimate spatial soil moisture in South Korea (99,000 km2) from January 2013 to December 2015 using a multiple linear regression (MLR) model and the Terra moderate-resolution imaging spectroradiometer (MODIS) land surface temperature (LST) and normalized distribution vegetation index (NDVI) data. The MODIS NDVI was used to reflect vegetation variations. Observed precipita...

High spatial resolution soil moisture (SM) data are crucial in agricultural applications, river-basin management, and understanding hydrological processes. Merging multi-resource observations is one of the ways to improve the accuracy of high spatial resolution SM data in the heterogeneous cropland. In this paper, the Bayesian Maximum Entropy (BME) methodology is implemented to merge the follow...