Buchananpiper3819

This study aims to investigate the effect of chatbots that work with artificial intelligence on the success of students and their opinions about chatbots in the 'Matter and the changing state of matter' unit in the 5th grade science course. In addition to text-based functions, the designed chatbot includes a video accessed on the web to support students visually and aurally. The chatbot was designed using the Dialogflow program and an instant messaging program made available to students through a group created on Telegram. The study, which used a quasi-experimental pretest-posttest design, included 41 participants (n = 20 for the experimental, n = 21 for the control group) studying in the 5th grade of a state secondary school in the 2020-2021 academic year. Results suggest that although there was no significant difference between the experimental and control groups in terms of academic achievement, it was determined that the chatbot application positively affected the online learning experience of the experimental group students. Students' opinions about the chatbot included that it was useful and fun, they would like to use it for other courses, it provided useful assistance in learning outside the classroom, and it allowed them to repeat the course again. The results showed that, especially during the Covid-19 pandemic, such applications could contribute positively to students' learning.Changes in people's behavior during the COVID-19 pandemic can be regarded as the result of two types of effects the "intervention effect" (changes resulting from government orders for people to change their behavior) and the "information effect" (voluntary changes in people's behavior based on information about the pandemic). Using age-specific mobile location data, we examine how the intervention and information effects differ across age groups. Our main findings are as follows. First, the age profile of the intervention effect shows that the degree to which people refrained from going out was smaller for older age groups, who are at a higher risk of serious illness and death, than for younger age groups. Second, the age profile of the information effect shows that the degree to which people stayed at home tended to increase with age for weekends and holidays. Thus, while Acemoglu et al. (2020) proposed targeted lockdowns requiring stricter lockdown policies for the oldest group in order to protect those at a high risk of serious illness and death, our findings suggest that Japan's government intervention had a very different effect in that it primarily reduced outings by the young, and what led to the quarantining of older groups at higher risk instead was people's voluntary response to information about the pandemic. Third, the information effect has been on a downward trend since the summer of 2020. It is relatively more pronounced among the young, so that the age profile of the information effect remains upward sloping.The limited knowledge about the mechanism of SARS-CoV-2 transmission is a current challenge on a global scale. Among possible transmission routes, air transfer of the virus is thought to be prominent. To investigate this further, measurements were conducted at Razi hospital in Ahvaz, Iran, which was selected to treat COVID-19 severe cases in the Khuzestan province. Passive and active sampling methods were employed and compared with regard to their efficiency for collection of airborne SARS-COV-2 virus particles. Fifty one indoor air samples were collected in two areas, with distances of less than or equal to 1 m (patient room) and more than 3 m away (hallway and nurse station) from patient beds. CDK activation A simulation method was used to obtain the virus load released by a regularly breathing or coughing individual including a range of microdroplet emissions. Using real-time reverse transcription polymerase chain reaction (RT-PCR), 11.76% (N = 6) of all indoor air samples (N = 51) collected in the COVID-19 ward tested positive for SARS-CoV-2 virus, including 4 cases in patient rooms and 2 cases in the hallway. Also, 5 of the 6 positive cases were confirmed using active sampling methods with only 1 based on passive sampling. The results support airborne transmission of SARS-CoV-2 bioaerosols in indoor air. Multivariate analysis showed that among 15 parameters studied, the highest correlations with PCR results were obtained for temperature, relative humidity, PM levels, and presence of an air cleaner.A stable salt-tolerant cell-suspension culture of Alluaudiopsis marnieriana was established, and intracellular compounds that accumulated under salt-stress conditions were investigated. HPLC/MS, and NMR analyses indicated that enhanced accumulation of coniferin was found during the growth phase in medium containing 150 mM NaCl. Coniferin or its derivatives may play an important role in salt-tolerance mechanisms in this plant.The Arabidopsis T87 cell line has been widely used in both basic and biotechnological plant sciences. Agrobacterium-mediated transformation of this cell line was reported to be highly efficient when precultured in Gamborg's B5 medium for a few days. However, because we could not obtain the expected efficiency in our laboratory, we further examined the preculture conditions of Arabidopsis T87 cells in the Agrobacterium-mediated transformation. As a result, we found that preculture in an excess amount of Murashige and Skoog (MS) macronutrients before cultivation in the B5 medium enhanced the transformation efficiency up to 100-fold, based on the transformed callus number on selective gellan gum plates. In this study, transformants were labeled with green fluorescent protein (GFP), and we found multiple fluorescent spots on individual transgenic calli. Therefore, the actual number of transgenic clones seems much more than that of transgenic calli. In our MS macronutrient-rich culture condition, T87 cells tended to aggregate and formed bigger cell clumps, a change that might be related to the enhancement of transformation efficiency. Based on these results, we report an improved protocol of Agrobacterium-mediated transformation of Arabidopsis T87 cells with high efficiency.