Trans-Cultural Journeys of East-Asian Educators: The Impact of the Three Teachings

This paper presents the joint journeys, from the East to the West, of three emerging educators, who reflect on their lived experiences in an Asian educational context and their shaped identities through a connection between the motherland and the places to which they immigrated. They have grounded their identities in the inequities they experienced in Asian education and described their experiences through a cultural and social lens as Asian teachers studying in Canadian institutions. They story their lived experiences by using a Photo-voice research method to elicit the narratives of their East-to-West transcultural journeys. The major finding is the reconstructed identity of each of the researchers. The data collected through ‘Photo-voice’ sheds light on the influence on teachers’ mindset of the Three Teachings or Religions—Buddhism, Confucianism, and Taoism — across Asia on teachers' mindset, which are seen to cause inequities among the marginalized. The purpose of this research is an attempt by the authors, who have immersed themselves in each other’s journeys, to discuss how they have reformed their educator identities in a Canadian educational context in which equity, diversity, and inclusion are acknowledged

Application of Black-Scholes-Merton Model in Option Pricing and Intangibles Assets

Major: Finance and Mathematics Faculty Mentor: Dr. Joseph Shomberg, Mathematics The Black-Scholes model was developed by Fisher Black and Myron Scholes in the 1970s to price stock options. Since then the model has been suited to price so-called intangible assets such as trademarks and patents. In this paper, we investigate the related Black-Scholes-Merton model and the relevant characteristics of patents in order to associate patents as real options. After describing patents as options, we apply the Black-Scholes-Merton model to the valuation of the intangible assets. Special attention is given to modeling volatility and the cost of delay in order to obtain the best patent price and the optimal time to commercialize the patent. Finally, we apply our patent price model to study the case of an upcoming Apple product

ENGLISH TEACHERS’ QUESTIONS IN A VIETNAMESE HIGH SCHOOL READING CLASSROOM

Recently, developing students’ thinking, especially critical thinking (CT), has become a hot issue. Critical thinking has been claimed to have an important impact on learners’ reading comprehension because it can help them analyze, evaluate, construct their thinking, solving problems and reasoning (Ennis, 1989). However, the extent that teachers’ classroom activities contribute to developing students’ critical thinking has rarely been researched. The current case study was conducted with six EFL high school teachers and 10 reading lessons in Vietnam to explore the teachers’ use of questions and to analyze if these questions could facilitate the students’ critical thinking. Classroom observations and the cognitive domain of Bloom’s taxonomy were adapted as the research instruments. The study results reveal common types of questions are often used by high school teachers in their reading lessons. Suggestions are made on types of questions that teachers should function more in their class in order to enhance students’ critical thinking

Learning Pattern Classification Tasks with Imbalanced Data Sets

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A SAM-based Solution for Hierarchical Panoptic Segmentation of Crops and Weeds Competition

Panoptic segmentation in agriculture is an advanced computer vision technique that provides a comprehensive understanding of field composition. It facilitates various tasks such as crop and weed segmentation, plant panoptic segmentation, and leaf instance segmentation, all aimed at addressing challenges in agriculture. Exploring the application of panoptic segmentation in agriculture, the 8th Workshop on Computer Vision in Plant Phenotyping and Agriculture (CVPPA) hosted the challenge of hierarchical panoptic segmentation of crops and weeds using the PhenoBench dataset. To tackle the tasks presented in this competition, we propose an approach that combines the effectiveness of the Segment AnyThing Model (SAM) for instance segmentation with prompt input from object detection models. Specifically, we integrated two notable approaches in object detection, namely DINO and YOLO-v8. Our best-performing model achieved a PQ+ score of 81.33 based on the evaluation metrics of the competition.Comment: Technical report of NYCU-WEED team for the challenge of hierarchical panoptic segmentation of crops and weeds using the PhenoBench dataset at the 8th Workshop on Computer Vision in Plant Phenotyping and Agriculture (CVPPA) - International Conference on Computer Vision (ICCV) 202

Quantum Gauss Jordan Elimination

In this paper we construct the Quantum Gau\ss Jordan Elimination (QGJE) Algorithm and estimate the complexity time of computation of Reduced Row Echelon Form (RREF) of an $N\times N$ matrix using QGJE procedure. The main theorem asserts that QGJE has computation time of order $2^{N/2}$