Bipartite graph partitioning and data clustering

Many data types arising from data mining applications can be modeled as bipartite graphs, examples include terms and documents in a text corpus, customers and purchasing items in market basket analysis and reviewers and movies in a movie recommender system. In this paper, we propose a new data clustering method based on partitioning the underlying bipartite graph. The partition is constructed by minimizing a normalized sum of edge weights between unmatched pairs of vertices of the bipartite graph. We show that an approximate solution to the minimization problem can be obtained by computing a partial singular value decomposition (SVD) of the associated edge weight matrix of the bipartite graph. We point out the connection of our clustering algorithm to correspondence analysis used in multivariate analysis. We also briefly discuss the issue of assigning data objects to multiple clusters. In the experimental results, we apply our clustering algorithm to the problem of document clustering to illustrate its effectiveness and efficiency.Comment: Proceedings of ACM CIKM 2001, the Tenth International Conference on Information and Knowledge Management, 200

An Analysis of User-Generated Comments on the Development of Social Mobile Learning

In this study, the authors used a mixed-method approach to analyze user-generated comments on social mobile learning from three leading news sites that report the latest development in higher education. Koole’s mobile learning model was used to code comments made by the public on the three news sites. Results showed that social mobile learning has gained an increasing public engagement in the past four years. Responders’ discussion in the comments primarily focused on four themes of social mobile learning: technology adoption, effective design, faculty training, and student training. In the end, the authors discussed the implications for developers and educators and concluded with recommendations for future research in social mobile learning using user-generated comments

Pandemic Pedagogy in Online Hands-on Learning for IT/IS Courses

Due to the coronavirus disease of 2019 (COVID-19) pandemic, many educational institutions have transitioned to online instruction. As a result, instructors need to investigate online small group learning opportunities to bond with their students who feel isolated from their peers due to social-distancing guidelines. In this paper, we discuss three key issues in online hands-on learning: 1) interactions, 2) equity and inclusive participation, and 3) students’ readiness for hands-on or higher-level cognitive learning. We reflect on our teaching experience during the COVID-19 pandemic and offer suggestions to help instructors plan and implement online small group hands-on learning

Teaching Tip: Promoting Inclusive Online Learning for Students with Disabilities in Information Systems Courses

It is important to ensure educational equity for students with disabilities in online courses as more courses are taught online during the pandemic. This conceptual paper describes the key barriers for instructors to implement inclusive online classes, particularly technology courses, during the COVID-19 pandemic and suggests specific strategies to mitigate the negative impact on students with disabilities. We hope that this paper will motivate more Information Technology/Information Systems (IT/IS) instructors to implement more inclusive and accessible online courses to keep all students, including students with disabilities, motivated and engaged in online environments throughout the pandemic

The thermal and electrical properties of the promising semiconductor MXene Hf2CO2

In this work, we investigate the thermal and electrical properties of oxygen-functionalized M2CO2 (M = Ti, Zr, Hf) MXenes using first-principles calculations. Hf2CO2 is found to exhibit a thermal conductivity better than MoS2 and phosphorene. The room temperature thermal conductivity along the armchair direction is determined to be 86.25-131.2 Wm-1K-1 with a flake length of 5-100 um, and the corresponding value in the zigzag direction is approximately 42% of that in the armchair direction. Other important thermal properties of M2CO2 are also considered, including their specific heat and thermal expansion coefficients. The theoretical room temperature thermal expansion coefficient of Hf2CO2 is 6.094x10-6 K-1, which is lower than that of most metals. Moreover, Hf2CO2 is determined to be a semiconductor with a band gap of 1.657 eV and to have high and anisotropic carrier mobility. At room temperature, the Hf2CO2 hole mobility in the armchair direction (in the zigzag direction) is determined to be as high as 13.5x103 cm2V-1s-1 (17.6x103 cm2V-1s-1), which is comparable to that of phosphorene. Broader utilization of Hf2CO2 as a material for nanoelectronics is likely because of its moderate band gap, satisfactory thermal conductivity, low thermal expansion coefficient, and excellent carrier mobility. The corresponding thermal and electrical properties of Ti2CO2 and Zr2CO2 are also provided here for comparison. Notably, Ti2CO2 presents relatively low thermal conductivity and much higher carrier mobility than Hf2CO2, which is an indication that Ti2CO2 may be used as an efficient thermoelectric material.Comment: 26 pages, 5 figures, 2 table

ORB-SLAM based humanoid robot location and navigation system

Aiming at the indoor location and navigation problem of humanoid biped robot with complex motion structure, a humanoid biped robot localization and navigation system based on ORB-SLAM is designed. Firstly, the working principle of ORB-SLAM is analyzed, and it is improved to realize the function of missing map reading and generating dense point cloud map. Secondly, the dense point cloud map is converted to octomap, and then the conversion of 3D map to 2D map is completed. The SBPL planning library is improved to carry out the path planning of the robot, and the path planning based on the boundary exploration is realized. Finally, the experimental verification is carried out on the biped robot to verify the effectiveness of the location and navigation system design in the indoor environment

A Literature Review of Quantum Education in K-12 Level

Quantum computing is an emerging technology paradigm of computing and has the potential to solve computational problems intractable using today’s classical computers or digital technology. Quantum computing is expected to be disruptive for many industries. The power of quantum computing technologies is based on the fundamentals of quantum mechanics, such as quantum superposition, quantum entanglement, or the no-cloning theorem. To build a highly trained and skilled quantum workforce that meets future industry needs, there is a need to introduce quantum concepts early on in K-12 schools since the learning of quantum is a lengthy process. As fundamental quantum concepts derive from physics, students usually start to learn physics in secondary schools. Since the resources and curriculum design for quantum education in K-12 level is rare, we conducted a literature review with a focus on quantum computing education in K-12 level and filled the research gap

Comprehensive evaluation of heat resistance in 68 Vitis germplasm resources

Temperature is a crucial factor limiting plant growth. Grapevine is frequently subjected to high temperature during its maturation stage, and this seriously influences grape growth and development. Here, we selected 68 grapevine varieties and examined the heat damage index, relative electrolyte leakage, and Fv/Fm after exposure to 50 °C. 'Red Seedless', 'Hong Yuli', 'At Suma', 'Hupei 3#', and 'Tamina' were tolerant to high-temperature stress; however, 'Brazil', 'Shenfeng', 'Gold Finger', 'Heimeixiang', 'Kaiji', and 'Zuijinxiang' varieties were sensitive to high-temperature stress and died after exposure to 50 °C. Our findings provide a valuable insight into resistance breeding programs for grapevine