With the global outbreak of COVID-19, there was an immediate shutdown of face-to-face classes and a sudden shift to online learning. While remote learning was a challenge for instructors, the presentation of laboratory classes had become a bigger challenge for the chemistry instructors. An effective method for the education of practical chemistry in virtual courses is the use of kitchen chemistry. The simple activities that students could complete at home, along with worksheets linking their observations to the theory taught in class. The experiments that students can safely perform at home without the need to purchase expensive commercial chemicals and equipment will be economically valuable and cover part of the curriculum. In designing home experiments, three points of simplicity, availability of materials and equipment and safety should be considered. The present study is a review of the activities conducted in the field of kitchen chemistry during the Corona pandemic. The studies showed that students were highly motivated to perform these experiments and achieved learning objectives similar to previous years in face-to-face courses.

The Covid 19 virus pandemic (Corona) has not only affected public health, but has caused a major recession in the world. In addition to the consequences of the Corona virus, the Iranian economy is also facing the pressure of sanctions and is experiencing these two factors simultaneously. More importantly, businesses have not been immune to the virus. Kermanshah province with high unemployment is at risk of damage to rural businesses. Therefore, the present study seeks to provide a model for the revitalization of small and medium-sized rural businesses affected by the Covid 19 crisis, which has been conducted in rural businesses in Kermanshah province. Experts of the Jihad Agricultural Organization of the province and professors of Razi University have formed the statistical population of this study who were selected by purposive sampling and snowball method. Semi-structured interview method was used to collect research data in the qualitative part and survey method was used in the quantitative part. The data collection process continued until the theoretical saturation of the available information Qualitative analysis of the data was performed by Max Kyoda software and by analyzing 15 interviews, a total of 45 codes were identified. The data were analyzed in four main categories: financial - facility, service - support, business empowerment and market summary. The two factors of finance - facilities and services - support empower the business, and this in turn can be a factor in creating decisions with a focus on customer, market and marketing. In the quantitative part, the results of Friedman prioritization test showed that for the rehabilitation of damaged rural units in Kermanshah province, respectively, financial-facility factors (3.43), empowerment- resilience (2.73), support-services (2.40) and market factors (1.43) had a higher priority.

Coefficient of consolidation (CV) is one of the important parameters used in geotechnical design. This parameter is usually achieved from one dimensional consolidation test in laboratory. Cone penetration Test (CPT) is an in situ test, in this test can be measure pore water pressure with time this test has previously been introducing dissipation test. Teh (1987), Houlsby and Teh (1988), Teh and Houlsby (1991) and Jones and Rust (1995) have been proposed different methods to determine CV from CPTu results. In this paper, have been used 43 dissipation tests and 35 one dimension laboratory consolidation tests that were conducted in three areas in southern Iran and are compared CV are obtained from CPTu test by from 4 methods listed above with each other’s and one dimensional laboratory consolidation test. The results show that CV obtained from laboratory test is higher than the value obtained by from Teh & Houlsby (1991) method and lower than the value obtained from others methods. The similarity of results obtained from laboratory test in terms of amount and trend are closer to results obtained from Teh & Houlsby (1991) method. The empirical relationships between laboratory and in situ CV are proposed. For all equations, coefficient of correlation is higher than 0.7. The highest value is belong to Houlsby & Teh (1988) method and the least value is belong to the Jones & Rust (1995) method. Once the empirical equation is proposed for each site indecently, coefficient of correlation in all methods is high but while the empirical equation is proposed for all sites together coefficient of correlation is decrease. Thus these empirical equations are influenced by the characteristics of each area so for each area must be independently evaluated and empirical equation are proposed.