Understanding and reducing the fear of COVID-19

Journal of Zhejiang University-SCIENCE B -     

Developing,Evaluating and Demonstrating the Use of a Conceptual Survey in Mechanical Waves

An understanding of mechanical waves is a pre‐requisite for the study of many topics in advanced physics, and indeed in many other disciplines. There have been many research studies in mechanical waves, all of which have revealed that students have trouble with the basic concepts. Therefore, in order for teachers to prepare appropriate instruction for their classes, it is useful to diagnose their students' conceptions—if possible before they enter class. It is for this purpose that many diagnostic instruments have been developed, often in the form of multiple‐choice tests. In this study, we have used the open‐ended Wave Diagnostic Test to develop a multiple‐choice conceptual survey in an evolutionary manner. The two‐year development procedure included open‐ended surveys and interviews involving 299 Thai students and 88 Australian students. The final version, called the Mechanical Waves Conceptual Survey, has been administered to 632 Australian students from high school to second‐year university and 270 Thai high school students. Standard statistical analyses show that the survey is reliable and valid. Further validity checks, including consultation with experts, were also carried out. The survey has four subtopics—propagation, superposition, reflection, and standing waves—and the teachers can choose the subtopics relevant for their students. In this paper we also demonstrate the use of a typical survey question to test students' conceptual understanding and identify common alternative conceptions.     

A Class-Wide Intervention for Improving Homework Performance

Homework completion has an important impact on the overall academic functioning of students. Consultation requests often center on identifying efficient interventions so that teachers may facilitate the homework process and enhance students' academic achievement. This investigation employed a randomized interdependent group contingency and randomized reinforcers to improve homework completion and accuracy of spelling performance in 21 elementary school students. An ABAB reversal design across all students was employed. Results showed this intervention to have a positive impact on both spelling homework completion and accuracy rates. Limitations, future research, and contributions are addressed.     

Shared Power,Risk-taking,and Innovation: Participatory Action Research in Jewish Education

ABSTRACT

In this article, the authors describe and discuss applications of the Group-Level Assessment/Understanding (GLA/GLU) process, an innovative participatory action research methodology. The authors first describe the GLA/GLU application in the Mandel Teacher Educator Institute (MTEI) and the creation of an MTEI interpretive community to deeply analyze the collected data. The authors then describe adaptations of the process in their home communities to address community-identified dilemmas, tensions, and problems. The article concludes with reflections on common themes that emerged in the GLA/GLU applications–shared power, risk-taking, and methodological innovation.     

Library Technical Services: Key Ingredients in the Recipe for a Successful Institutional Repository

For years, academic institutions have established and maintained institutional repositories (IRs) to collect, preserve, and showcase their institution's research and scholarly output. Tammy Sugarman, Associate Dean for Collections at Georgia State University Library, presented “Library Technical Services: Key Ingredients in the Recipe for a Successful Institutional Repository” at the Mississippi State University Libraries eResource & Emerging Technologies Summit held at Mississippi State University, Mitchell Memorial Library on August 3, 2012. Sugarman provided historical background on IRs and explored the professional and organizational changes taking place in academic libraries to support IR programs, focusing on contributions of technical services units.     

Wireless Cities: Local Governments' Involvement in the Shaping of Wi-Fi Networks

This study examines the role of local government in the deployment of municipal Wi-Fi networks from the perspective of path dependency and social shaping of technology. By employing a case study method, the study investigated ways in which municipal networks in three cities in the United States were constructed and operated. The study found that the technology models developed from each city's past experiences in communication technologies played an essential role in the rollout of the current Wi-Fi networks. It also uncovered that social and political factors accounted for the different characteristics of each city's network implementation.     

The Role of Interpersonal Comfort in Mentoring Relationships

This research examined interpersonal comfort as a potential mediating mechanism in mentoring relationships. Results indicated that interpersonal comfort mediated the relationship between gender similarity and protégé reports of career and psychosocial mentoring. Contrary to prediction, interpersonal comfort did not mediate relationships involving mentorship type (i.e., formal versus informal). However, we did find that informal mentoring and interpersonal comfort were positively associated with career mentoring. The research helps illustrate the important role that interpersonal comfort plays in the mentoring process.     

Towards precision medicine: from quantitative imaging to radiomics

Radiology (imaging) and imaging-guided interventions, which provide multi-parametric morphologic and functional information, are playing an increasingly significant role in precision medicine. Radiologists are trained to understand the imaging phenotypes, transcribe those observations (phenotypes) to correlate with underlying diseases and to characterize the images. However, in order to understand and characterize the molecular phenotype (to obtain genomic information) of solid heterogeneous tumours, the advanced sequencing of those tissues using biopsy is required. Thus, radiologists image the tissues from various views and angles in order to have the complete image phenotypes, thereby acquiring a huge amount of data. Deriving meaningful details from all these radiological data becomes challenging and raises the big data issues. Therefore, interest in the application of radiomics has been growing in recent years as it has the potential to provide significant interpretive and predictive information for decision support. Radiomics is a combination of conventional computer-aided diagnosis, deep learning methods, and human skills, and thus can be used for quantitative characterization of tumour phenotypes. This paper discusses the overview of radiomics workflow, the results of various radiomics-based studies conducted using various radiological images such as computed tomography (CT), magnetic resonance imaging (MRI), and positron-emission tomography (PET), the challenges we are facing, and the potential contribution of radiomics towards precision medicine.