Application of confidential intervals for verification of reservoir model at interpretation of well test data

The information on arguments of an oil reservoir to a well test from the point of view of the Bayesian inference are express through even allocation of odds in room of arguments. In article application of confidential spacing for a quantitative appraisal of the information receive from the analysis of results of well test which one are us for upgrading of allocations of odds are offered. Use of confidential spacing for an appraisal of a correctness of a choice of a laboratory formation are show

Comprehensive analysis of draft genomes of two closely related pseudomonas syringae phylogroup 2b strains infecting mono- and dicotyledon host plants

Comparison of the prophage region in Pseudomonas syringae strain SM (A) with the corresponding regions in strains 1845 (B) and 2507 (C) using MAUVE software (Darling et al. 2010). (PNG 2118 kb

A Carbon Corrosion Model to Evaluate the Effect of Steady State and Transient Operation of a Polymer Electrolyte Membrane Fuel Cell

A carbon corrosion model is developed based on the formation of surface oxides on carbon and platinum of the polymer electrolyte membrane fuel cell electrode. The model predicts the rate of carbon corrosion under potential hold and potential cycling conditions. The model includes the interaction of carbon surface oxides with transient species like OH radicals to explain observed carbon corrosion trends under normal PEM fuel cell operating conditions. The model prediction agrees qualitatively with the experimental data supporting the hypothesis that the interplay of surface oxide formation on carbon and platinum is the primary driver of carbon corrosion

The intellectual information system for management of geological and technical arrangements during oil field exploitation

The intellectual information system for management of geological and technical arrangements during oil fields exploitation is developed. Service-oriented architecture of its software is a distinctive feature of the system. The results of the cluster analysis of real field data received by means of this system are shown

Predicting the solvation of organic compounds in aqueous environments: from alkanes and alcohols to pharmaceuticals

The development of accurate models to predict the solvation, solubility, and partitioning of nonpolar and amphiphilic compounds in aqueous environments remains an important challenge. We develop state-of-the-art group-interaction models that deliver an accurate description of the thermodynamic properties of alkanes and alcohols in aqueous solution. The group-contribution formulation of the statistical associating fluid theory based on potentials with a variable Mie form (SAFT-γ Mie) is shown to provide accurate predictions of the phase equilibria, including liquid–liquid equilibria, solubility, free energies of solvation, and other infinite-dilution properties. The transferability of the model is further exemplified with predictions of octanol–water partitioning and solubility for a range of organic and pharmaceutically relevant compounds. Our SAFT-γ Mie platform is reliable for the prediction of challenging properties such as mutual solubilities of water and organic compounds which can span over 10 orders of magnitude, while remaining generic in its applicability to a wide range of compounds and thermodynamic conditions. Our work sheds light on contradictory findings related to alkane–water solubility data and the suitability of models that do not account explicitly for polarity

Procrastination of Students Who Study Online Courses

Статья поступила в редакцию 26.08.2022 г.Прокрастинация является одним из значимых феноменов, снижающих успешность учебной деятельности на всех этапах обучения. Прохождение онлайн-курсов еще больше стимулирует этот феномен в связи с тем, что уменьшается контроль со стороны педагога и появляется большая свобода в планировании учебной нагрузки самим студентом. Целью работы стало исследование психологических особенностей студентов, склонных к прокрастинации. Выборкой выступили 228 студентов УрФУ, изучавших отдельные дисциплины в онлайн-формате. В качестве эмпирических методов были использованы «Шкала академической мотивации» Т. О. Гордеевой, О. А. Сычева и Е. Н. Осина (ШАМ), «Шкала общей прокрастинации» К. Х. Лэя в адаптации О. С. Виндекер и М. В. Останиной, а также опросник TIPI Р. Мак-Кре и П. Коста. Информация об успеваемости была получена из балльно-рейтинговой системы университета. Исследование показало, что уровень прокрастинации у студентов оказался положительно связан с амотивацией и, что интересно, добросовестностью. Студенты с высоким и низким уровнем прокрастинации различаются по уровню амотивации, а также имеют разную архитектуру взаимосвязей между личностными и мотивационными особенностями.Procrastination is one of the significant phenomenon that reduces success of educational activities at all stages of learning. Online learning fosters procrastination due to the fact that the teacher’s control of the situation decreases and there is more freedom in planning the academic load by the student himself. The aim of the work was to study the psychological characteristics of the students prone to procrastination. The sample consisted of 228 UrFU students who study online courses. Empirical methods: the “Scale of academic motivation” by Gordeeva, O. A. Sycheva and E. N. Osina (SHAM), “The scale of general procrastination” by K. H. Lay in adaptation by O. S. Vindeker and M. V. Ostanina, as well as the TIPI questionnaire by R. McCrae and P. Costa. Information about academic performance was obtained from the Pointrating system of the university. As a result, the level of procrastination of students was positively associated with amotivation and, interestingly, conscientiousness. Students with high and low levels of procrastination differ in the level of amotivation, and also have a different configuration of relationships between personal and motivational characteristics