Changing Post-Adoptive Personal Healthcare IT Use during the COVID-19 Pandemic

We examine post-adoptive IT use of fitness tracking technologies longitudinally using three data sets gathered before, during, and after the COVID-19 lockdowns in the United States. Using adaptive structuration theory (AST) as a meta-theory, we model post-adoptive IT use as having two fundamental types (continued and novel), each having distinct psychological and sociological antecedents. Sociological antecedents are further broken down into those coming from society and those coming from the technology. Findings indicate there are strong correlations between antecedents and the two types of use in all three data sets. Post-hoc analysis indicates continued and novel use vary across time. These variations are not static and appear to be non-linear. Implications and future research directions are also discussed. © 2022 IEEE Computer Society. All rights reserved.

Transformational Leadership and Challenges Education in a Pandemic

Leadership is a critical factor in determining an organization's success. This research is an integrative literature review which means that in its preparation the literature used is not only sourced from one scientific discipline but from various sciences that are interrelated with each other. The researcher's steps are broken down into stages, for example, the researcher conducts a review using numerous respectable journal articles obtained from various sources. Researchers enter various keywords related to research topics in literature searches and limit scientific articles published in the last 5 years while transformational leadership during the pandemic which was published in 2020. The journal search results obtained as many as 25 journals but the most appropriate to the topic obtained 10 journals. The study's findings suggest that the problems of transformational leadership in education during a pandemic include societal limits imposed by the Covid-19 outbreak, which can obstruct the nation's ability to achieve and improve its character. Transformational leadership in education describes the level of leader's ability to change the mentality and behavior of staff for the better by showing and encouraging them to do something that seems impossible that offers a changed perspective on the whole educational institution, so that teaching staff and students realize their existence to build institutions that ready to welcome change and even create change. During the pandemic, transformational leadership has hurdles, beginning with social constraints, as the Covid-19 outbreak may obstruct the Indonesian nation's ability to achieve and build its character toward a superior generation. © 2021 ACM.

COVID-19 Detection Using CT Image Based on YOLOv5 Network

The COVID-19 pandemic has broken down the global medical order tremendously, we urgently need an efficient treatment. Computer aided diagnosis (CAD) increases diagnosis efficiency, helping doctors providing a quick and confident diagnosis, it has played an important role in the treatment of COVID-19. In our task, we solve the problem about abnormality detection and classification. The dataset provided by Kaggle platform and we choose YOLOv5 as our model.We introduce some methods on objective detection in the related work section, the objection detection can be divided into two streams: one-stage and two stage. The representational model are Faster RCNN and YOLO series. Then in the section III we describe YOLOv5 model in the detail. Compared Experiment and results are shown in section IV. We choose mean average precision (mAP) as our experiments' metrics, and the higher (mean )mAP is, the better result the model will gain. mAP@0.5 of our YOLOv5s is 0.623 which is 0.157 and 0.101 higher than Faster RCNN and EfficientDet respectively. © 2021 IEEE.