English for Academic Purposes (EAP) and English for Specific Purposes (ESP) are developing branches of English as a Foreign Language (EFL) instruction in Iran. These branches have a marginal status in the tertiary education, and the Ministry of Science, Research, and Technology’s high commission offers no clear guidance for selecting and developing basic academic instructional materials related...

The water relations play a fundamental role in seed comprehension of biology. In order to describe the process of drying and the effect on water activity, which controls biological change in storage, a sound knowledge of the relationship between equilibrium moisture content (EMC) and water activity/equilibrium relative humidity (ERH) is essential. The relationship between the total moisture con...

The basic structure of a reactor physics laboratory environment simulation software, developed using object modeling technique (OMT), and based on the reactor point kinetic equation, is presented. Also, various capabilities of the simulator in teaching the fundamental concepts of reactor physics are discussed. In this virtual laboratory, student can perform seven different experiments, ...

The basic structure of a reactor physics laboratory environment simulation software, developed using object modeling technique (OMT), and based on the reactor point kinetic equation, is presented. Also, various capabilities of the simulator in teaching the fundamental concepts of reactor physics are discussed. &#10 In this virtual laboratory, student can perform seven different experiments...

2.1 Beam description ......................................................................................... 2-1 2.1.1 Coordinates ........................................................................................ 2-1 2.1.2 Beam moments and emittances ......................................................... 2-2 2.1.3 Luminosity..............................................................

This study aims to develop a predictive and reliable data-driven model for forecasting the fluid production (oil, gas, water) of existing wells future infill CO2-enhanced oil recovery (EOR) CO2 storage projects. Several models were investigated, such as auto-regressive (AR), multilayer perceptron (MLP), long short-term memory (LSTM) networks. The trained based on static dynamic parameters daily...

We present a data-driven and physics-informed algorithm for drilling accident forecasting. The core machine-learning uses the data from telemetry representing time-series. have developed Bag-of-features representation of time series that enables to predict probabilities six types accidents in real-time. model is trained on 125 past 100 different Russian oil gas wells. Validation shows can forec...