How Partial Anonymity May Reduce Students' Anxiety During Remote Active Learning─A Case Study Using Clubhouse

Active learning, a common practice in higher education, has been shown to promote higher order thinking and skills. Class discussions have been chosen to be the medium to incorporate active learning in schools‘ curriculum. However, the rate of class participation could be low for certain courses. Literature has shown that the fear of negative evaluation from peers is the most common reason as to why students choose not to partake in class discussions. Anonymity via clickers or applications such as Kahoot! has shown to be useful in reducing students' anxiety and increasing class participations. However, this is not a viable method to employ if vocal discussion is required for the course. Here, partial anonymity (voice only), Speak Your Mind, was applied into an environmental chemistry course with 20 students in the National University of Singapore (NUS) to study its correlation with students‘ anxiety and class participation. Participants survey results suggested that a reason for not participating in class discussions was the fear of being judged by their peers. Remote learning was conducted due to COVID-19 and partial anonymity was obtained by a proxy application: Clubhouse. This application allowed students to partake in a podium discussion while maintaining psychological safety via partial anonymity. Participants survey responses indicated that partial anonymity reduced their anxiety (Cohen's d = 0.58) and slightly increased their self-reported class participation rate (Cohen's d = 0.21);it was noted that partial anonymity did not have much effect on their fears of being judged if they provided the wrong answer (Cohen's d = 0.11). © 2023 American Chemical Society and Division of Chemical Education, Inc.

Environmental Geochemistry and Positive Impact of Covid-19 Pandemic with Special Emphasis to Coal Mining Industry: An Overview

In the present situation, Covid-19 is considered to be an unbeaten global pandemic. In every single fleeting moment, this SARS-CoV-2 (coronavirus-2) causes greater damage to our life including the physical world including drastic imbalance of the whole economic condition of any country. The lockdown governed in two consecutive years (2020 and 2021) in the world to control the spreading of the virus poses an undue threat to the industrial sectors including the coal mining sectors that determine the economic growth of the country. With these negative impacts of coronavirus-2 in our life, this present review aims to explore some of the positive influences of the Covid-19 pandemic through the restoration of the environmental system which are otherwise not possible. This quantitative review finds that spreading of the Covid-19 pandemic indirectly improves the air and water quality by reducing the number of vehicles, reduces the CO2, NOx, particulate matter, and other polluting gases emission from coal-based power plants through periodical lockdown in the country. Moreover, the lockdown implemented to minimise the spreading of the Covid-19 significantly reduces the coal dust production from the mining and transportation of coal that indirectly reduces environmental pollution.

A Daytime Multisensor Satellite System for Global Gas Flaring Monitoring

Natural gas flaring (GF) is a longstanding problem for the oil industry. Recent estimates indicate that this phenomenon has increased to levels recorded a full decade earlier. While in 2020 there was a decline in global GF due to COVID-19 pandemic, data suggest that GF continues to be a persistent issue, with solutions remaining difficult or uneconomical in certain countries. Nighttime satellite products are widely used to map and monitor GF affected areas, partially filling the general lack of information from oil companies and/or national reporting. In this work, we assess the potential of daytime infrared satellite observations at high spatial resolution from operational land imager (OLI) and multispectral instrument (MSI) sensors, respectively, onboard Landsat-8 (L8) and Sentinel-2 (S2) satellites, in monitoring GF activity. The normalized hotspot indices (NHI) algorithm is used for this purpose, testing its performance over six different GF sites. Results show the NHI capability in providing accurate information about GF-related thermal (e.g., 100 & x0025;of detections offshore;up to 92 & x0025;onshore), despite some limitations due to clouds and smoke. They open challenging scenarios regarding the possibility of quantifying the volume of emitted gas from daytime S2-MSI and L8-OLI data, integrating information from well-established nighttime operational systems.

A Seismic Network to Monitor the 2020 EGS Stimulation in the Espoo/Helsinki Area, Southern Finland

We present the deployment of a seismic network in the Helsinki capital area of Finland that was installed to monitor the response to the second stimulation phase of an similar to 6-kilometer-deep enhanced geothermal system in 2020. The network consists of a dozen permanent broadband stations and more than 100, predominantly short-period, temporary stations. This 2020 deployment is characterized by a mix of single stations and arrays with diverse configurations. It covers a larger area and exhibits a smaller azimuthal gap compared with the network that monitored the first stimulation in 2018. We surveyed the outcropping rocks at one of the large array sites to study surface expressions of shear or weakness zones that are possibly connected to the stimulated volume at depth. We link the relatively large number of macroseismic reports received during the stimulation to an increased public awareness of the project together with an increased sensitivity because the second stimulation occurred during the local COVID-19 mobility restrictions. The spatial distribution of the reports seems to be controlled by the radiation pattern of the induced earthquakes and hence by the stress state in the reservoir. The continuous records contain strong energy at high frequencies above 50 Hz that is attributed to anthropogenic processes in the densely populated urban area. However, the exceptionally low attenuation of the bedrock yields good signal-to-noise ratio seismograms of the induced small events, the largest of which was magnitude M-L 1.2. The signal quality of the obtained noise correlation functions is similarly very good. The data set has been collected to underpin a wide range of seismic analysis techniques for complementary scientific studies of the evolving reservoir processes and the induced event properties. These scientific studies should inform the legislation and educate the public for transparent decision making around geothermal power generation.

Urban Running Activity Detected Using a Seismic Sensor during COVID-19 Pandemic

Human foot traffic in urban environments provides essential information for city planners to manage the urban resources and urban residents to plan their activities. Compared to camera or mobile-based solutions, seismic sensors detect human footstep signals with fewer privacy concerns. However, seismic sensors often record signals generated from multiple sources, particularly in an urban outdoor environment. In this article, we monitor people's running activities during COVID-19 pandemic with a seismic sensor in a park in Singapore. We compare the spectra of natural and urban events in the recorded seismic data. For each 3 s seismic data, we define hierarchical screening criteria to identify footsteps based on the spectrum of the signal and its envelope. We derive the cadence of each runner by detecting the primary frequency of the footstep signals. The resulting algorithm achieves higher accuracy and higher temporal resolution for weak and overlapping signals compared to existing methods. Runner statistics based on four-month long seismic data show that urban running activities have clear daily and weekly cycles. Lockdown measures to mitigate COVID-19 pandemic promoted running activities, particularly over the weekends. Cadence statistics show that morning runners have higher cadence on average.

Google Street View as a Teaching Tool for Assessing Earthquake Building Damage

Damage to infrastructure is one of the most visible impacts that earthquakes have on our daily lives. For this reason, introductory undergraduate courses in seismology and related fields often cover earthquake damage in relation to seismic hazard and risk. This topic is commonly introduced by viewing examples of damage, either through static images or videos. Subsequent coursework frequently involves excursions to the field for in-person site inspections and relating the damage to seismic intensity and other parameters of strong ground motion. These field visits provide students with valuable opportunities to apply classroom knowledge to real-world settings. At the time of writing, the recent COVID-19 pandemic has forced many university classes to cancel field visits, depriving students of these experiences. In this EduQuakes article, I present a lesson plan that attempts to simulate a field visit for assessing earthquake damage in an online setting using the interactive online resource Google Street View to view an area before and after an earthquake. This format facilitates active and exploratory learning and encourages students to build the necessary skills required for further studies in more advanced geoscience courses. I include the lesson plan and a compilation of relevant resources in the supplemental material to this article.

The Mid Atlantic Appalachian Orogen Traverse: a comparison of virtual and on-location field-based capstone experiences

The Stratigraphy, Structure, Tectonics (SST) course at James Madison University incorporates a capstone project that traverses the Mid Atlantic region of the Appalachian Orogen and includes several all-day field trips. In the Fall 2020 semester, the SST field trips transitioned to a virtual format, due to restrictions from the COVID pandemic. The virtual field trip projects were developed in web-based Google Earth and incorporated other supplemental Power-Point and PDF files. In order to evaluate the effectiveness of the virtual field experiences in comparison with traditional on-location field trips, an online survey was sent to SST students that took the course virtually in Fall 2020 and to students that took the course in person in previous years. Instructors and students alike recognized that some aspects of on-location field learning, especially those with a tactile component, were not possible or effective in virtual field experiences. However, students recognized the value of virtual field experiences for reviewing and revisiting outcrops as well as noting the improved access to virtual outcrops for students with disabilities and the generally more inclusive experience of virtual field trips. Students highlighted the potential benefits for hybrid field experiences that incorporate both on-location outcrop investigations and virtual field trips, which is the preferred model for SST field experiences in Fall 2021 and into the future.

The COVID-19 pandemic necessitates a shift to a plastic circular economy.

The COVID-19 pandemic is exacerbating plastic pollution. A shift in waste management practices is thus urgently needed to close the plastic loop, requiring governments, researchers and industries working towards intelligent design and sustainable upcycling.