Your browser doesn't support javascript.
Show: 20 | 50 | 100
Results 1 - 3 de 3
Filter
1.
Journal of Rural Research ; 13(4), 2023.
Article in Persian | CAB Abstracts | ID: covidwho-2297081

ABSTRACT

The purpose of this study is to examine the lived experiences of agricultural workers in the Chardavol Township about the new world. The present study is a qualitative research that has been done using an interpretive paradigm and interpretive phenomenological method. The statistical population of the study includes all villagers active in the agricultural sector in Zanjire Sofla village in Chardavol Township in Ilam province. 14 participants were selected by purposive sampling method until theoretical saturation. The semi-structured interview method was used to collect information from participants and Van Mannen's (1990) method was used to analyze the data obtained from the semi-structured interviews. The results showed that a main theme entitled "New World" and 7 sub-themes including new lifestyle, a distinct consumption pattern, the integration and synergy of tensions, understanding the cross-sectional remedial shock, the symmetry of old and new vulnerabilities, socio-protective isolation and low government presence and the tendency to counter-value measures and the experience of the new sin is experienced by the participants.

2.
129th ASEE Annual Conference and Exposition: Excellence Through Diversity, ASEE 2022 ; 2022.
Article in English | Scopus | ID: covidwho-2045759

ABSTRACT

It has become increasingly important for K-12 students to learn how to investigate patterns, correlations, and significance in data. The Berkeley Engineering Research Experiences for Teachers plus Data (BERET+D) pairs undergraduate pre-service teachers and experienced in-service science and mathematics teachers (PSTs and ISTs) to engage in engineering and data science research, exploring and analyzing data sets drawn from a variety of STEM fields and laboratories across the UC Berkeley campus. In addition to conducting independent summer research projects with guidance from university research faculty, the program provides opportunities for: (1) PSTs to develop data science-based lessons inspired by their research and aligned to the Next Generation Science Standards (NGSS), (2) ISTs to create data science-based curricula designed to inspire middle and high school students to see STEM classes as exciting and with real-life applications, and (3) ISTs to collaborate with and mentor PSTs preparing to enter K-12 STEM classrooms. Contributing towards broader impacts, CalTeach recruits a racially and socioeconomically diverse population of PSTs, and all ISTs were recruited from local public schools, in order to educate, prepare, and encourage more minority and female K-12 students to consider higher education and careers in STEM. During the first two summers of this project (2020-2021), participants completed over forty data-science related projects, developed over thirty K-12 data-science related lesson plans in math, science, and engineering, and created six classroom-ready and publicly accessible (teachengineering.org) curricular units showcasing data science. As an example of these curricular units, and as further evidence of the project's broader impact, one IST has developed an ongoing partnership between their classroom and a research laboratory on campus allowing high school physics students to learn data science techniques by analyzing and interpreting distant satellite signals collected by radio telescopes. Preliminary evaluation of this ongoing project revealed that participants viewed data science as important and essential in K-12 curriculum, that data analysis is a critical and useful skill for youth, and that data science aligns closely with the science and engineering practices called forth by NGSS. Though constrained by work-from-home restrictions due to COVID during the first two years, participants described their experience as positive and valuable, particularly in conceiving of ways to engage young learners with data-science through remote instruction. © American Society for Engineering Education, 2022

3.
Journal of Medicinal Plants ; 20(77):1-14, 2021.
Article in English | Scopus | ID: covidwho-1144005

ABSTRACT

Background: The outbreak of COVID-19 has spread quickly all over the world. Apparently, the uncontrolled increases in the inflammatory and the immune processes are its major pathologies. Therefore, the use of natural plants containing antioxidant factors for the regulation of the immune system can be useful for the inflicted patients. Many epidemic diseases have occurred throughout human history. Persian physicians such as Avicenna offered solutions to these epidemics that were helpful in controlling these diseases. Objective: In this study, we introduce the herbs according to traditional Persian medicine's point of view that confirm their having antitussive, antipyretic, anti-viral, anti-inflammatory and antioxidant effects. Methods: In this regard, a thorough search was done on the detoxifier and immuno-modulatory plants in the Persian medicine books such as Makhzan-ol Advieh” and “Tohfat ol momenin” and “Qanun fi al tib”. Then, the herbs that were effective in fever and pulmonary diseases were browsed and arranged, and their pharmacological properties were also searched in the scientific databases. Results: This study examined the antipyretic, antitussive and immune-enhancing properties of the plants cited in Persian medicine books and showed that plants such as orange, sweat lemon, citron, myrtle and lavender have antipyretic, antitussive, anti-inflammatory, antioxidant and antimicrobial properties. Conclusion: It seems that the introduced plants could be potential candidates for animal studies and clinical trials. However, more studies are needed to prove their specific effectiveness. © 2020. Open access. This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (https://creativecommons.org/licenses/by-nc/4.0/)

SELECTION OF CITATIONS
SEARCH DETAIL