Determination of a Kinetic Law of Phosphorescence Decay Using a Conventional Photo Camera and Free Image Processing Software

Леванов, А. В.; Isaikina, O. Ya.

doi:10.1021/acs.jchemed.0c00685

Cited by 8 publications

(9 citation statements)

References 15 publications

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“…27 Other studies explored students' experience during the pandemic to develop concepts of chemical kinetics: making analogies between social distancing and the collision cross section of a chemical reaction 28 and between virus propagation and second-order reactions. 29 Another study proposed simple experiments using cell phones 30 or conventional photo cameras 31 with materials available at home, allowing students to measure kinetic parameters by themselves. However, there is a lack of knowledge in the application of TBL or PI methodologies to college education in total remote courses, especially Physical Chemistry.…”

Section: ■ Introductionsupporting

confidence: 89%

Adaptation of Physical Chemistry Course in COVID-19 Period: Reflections on Peer Instruction and Team-Based Learning

2022

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The COVID-19 pandemic has highlighted the importance of incorporating distance learning for long periods. However, few studies have addressed strategies to overcome the limitations caused by the lockdown. In this study, we report an active learning experience on the topic of chemical kinetics, using two f lipped class approaches, team-based learning (TBL) and peer instruction (PI). These methodologies have been adapted to remote learning for undergraduate students from chemistry and engineering courses. Materials (video class and bibliography) were made available, as part of the preparation for the activities. TBL and PI groups performed the active learning activity (ALA), which consisted of graphic problems about kinetics of simple order reactions. An individual post-test was applied to assess the students' performance 2 weeks after ALA. In addition, students answered a questionnaire addressing their perceptions of ALA. The methodologies did not show significant differences in students' performances. Both enabled the acquisition of soft skills. Participants of both methodologies agree that traditional in-person classes could be partially or totally replaced by ALA, corresponding to 59.6% and 9.8%, respectively. PI participants presented a better perception of their learning than TBL students did. Thus, the use of technological tools in a recontextualized way, such as the adaptation of TBL and PI to a virtual environment, proved to be very promising for the Physical Chemistry course and an opportunity to implement a methodology that places students at the center of the teaching−learning process. The active learning activities proposed in this study can integrate distance learning, even after the pandemic context.

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Section: ■ Introductionsupporting

confidence: 89%

Adaptation of Physical Chemistry Course in COVID-19 Period: Reflections on Peer Instruction and Team-Based Learning

2022

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“…To sum up, in order to better restore the color image, the mean filter template is used to restore the color, and the Gaussian template is used to eliminate the halo phenomenon for color restoration [33,34]. The weighted values of the two color restoration parts are scored, and the results of R, G, and B are as follows:…”

Section: Color Restorationmentioning

confidence: 99%

Intelligent Restoration Technology of Mural Digital Image Based on Machine Learning Algorithm

Zhou

Xie

2022

Wireless Communications and Mobile Computing

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Influenced by the natural environment and preservation conditions, the frescoes in the monastery were damaged to some extent. In order to solve the fresco image restoration conversion and structural decomposition defects, an intelligent fresco digital image restoration technique based on machine learning algorithm is proposed. Firstly, the digital image information of mural is collected by a scanning program, and the data in the database is extracted. The mean filter template is used to restore the color of mural digital image, and the Gaussian template is used to restore the color of image details. The two are superimposed to ensure that the image is not affected by distortion and halo, so as to ensure the clarity of image and boundary. The depth learning model of local fuzzy feature restoration of mural digital image is obtained by using multimodal feature decomposition method, and the intelligent restoration of mural digital image is realized by this model. The experimental results show that this method can effectively repair the local fuzzy features of mural digital image. The repair precision is more than 95.7% and fills in the missing information from the image, and the image quality is good.

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“…A similar pitch in the past was made for including polymer science in the chemistry curriculum which is now taught in most chemistry coursework . The theory of sensing requires amalgamation of fluid dynamics, , molecular transport, , and binding kinetics. , Several theoretical and laboratory activities have been suggested for teaching these topics individually, − but a coherent introduction in chemistry coursework remains missing.…”

Section: Introductionmentioning

confidence: 99%

“…3 The theory of sensing requires amalgamation of fluid dynamics, 4,5 molecular transport, 6,7 and binding kinetics. 8,9 Several theoretical and laboratory activities have been suggested for teaching these topics individually, 4−9 but a coherent introduction in chemistry coursework remains missing.…”

Section: ■ Introductionmentioning

confidence: 99%

A Pedagogical Introduction to Biomarker Detection in Surface-Based Biosensors

Prakash

Varma

2022

J. Chem. Educ.

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The field of biosensors is a burgeoning area of research and employs a large number of chemistry graduates. The impact of strip tests in detecting coronavirus was palpable during the recent COVID-19 pandemic and will further drive the biosensor industry. Despite their common usage, a coherent introduction to the basics of sensing remains missing from the chemistry curriculum. Through this work, key concepts of transport and noise interference in molecular sensing aimed at upper-level coursework are introduced. Exercises including teamwork activities are proposed for teaching and inquiry-based learning. The presented approach was effective in solidifying the concepts of molecular transport and competing binding kinetics. Furthermore, students are introduced to an online database on biomarkers and open-source binding affinity resources. The material can be seamlessly integrated into the existing coursework by expanding discussions on binding kinetics and equilibrium.

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Determination of a Kinetic Law of Phosphorescence Decay Using a Conventional Photo Camera and Free Image Processing Software

Cited by 8 publications

References 15 publications

Adaptation of Physical Chemistry Course in COVID-19 Period: Reflections on Peer Instruction and Team-Based Learning

Adaptation of Physical Chemistry Course in COVID-19 Period: Reflections on Peer Instruction and Team-Based Learning

Intelligent Restoration Technology of Mural Digital Image Based on Machine Learning Algorithm

A Pedagogical Introduction to Biomarker Detection in Surface-Based Biosensors

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