Current Issue : January - March Volume : 2017 Issue Number : 1 Articles : 5 Articles
Purpose: To develop and validate a new multimedia instrument to measure health-related quality of life (HRQOL) in\nPortuguese-speaking patients with cancer.\nMethods: A mixed-methods study conducted in a large Brazilian Cancer Hospital. The instrument was developed\nalong the following sequential phases: identification of HRQOL issues through qualitative content analysis of individual\ninterviews, evaluation of the most important items according to the patients, review of the literature, evaluation\nby an expert committee, and pretesting. In sequence, an exploratory factor analysis was conducted (pilot\ntesting, n = 149) to reduce the number of items and to define domains and scores. The psychometric properties of\nthe IQualiV-OG-21 were measured in a large multicentre Brazilian study (n = 323). A software containing multimedia\nresources were developed to facilitate self-administration of IQualiV-OG-21; its feasibility and patientsââ?¬â?¢ preferences\n(ââ?¬Å?paper and pencilââ?¬Â vs. software) were further tested (n = 54).\nResults: An exploratory factor analysis reduced the 30-item instrument to 21 items. The IQualiV-OG-21 was divided\ninto 6 domains: emotional, physical, existential, interpersonal relationships, functional and financial. The multicentre\nstudy confirmed that it was valid and reliable. The electronic multimedia instrument was easy to complete and\nacceptable to patients. Regarding preferences, 61.1 % of them preferred the electronic format in comparison with the\npaper and pencil format.\nConclusions: The IQualiV-OG-21 is a new valid and reliable multimedia HRQOL instrument that is well-understood,\neven by patients with low literacy skills, and can be answered quickly. It is a useful new tool that can be translated and\ntested in other cultures and languages....
The present situation of teaching and learning new knowledge taught in the\nclassroom is highly variable depending on the specific topics concerned. If we analyze the\nmanifold ways of teaching / learning at university level, we can notice a very good\ncombination between classical and modern methods. The first category includes the classic\nchalk blackboard teaching, followed by the also classical learning based on paper reference\nmaterial. The second category includes books published in PDF or PPT [1], which are printed\non the type backing CD / DVD. Since 2006 the author was concerned about the transfer of\ninformation and knowledge through video files like AVI, FLV or MPEG using various means\nof transfer, from the free ones (via Internet) and continuing with those involving minimal\ncosts, i.e. on CD / DVD support. Encouraged by the students� interest in this kind of teaching\nmaterial as proved by monitoring [2] the site http://www.cursuriuniversitarebraila.ugal.ro, the\nauthor has managed to publish with ISBN the first video book in Romania, which has a non\nconformist content in that the chapters are located not by paging but by the hour or minutes of\nshooting when they were made....
The Internet of Things is predicted to consist of over 50 billion devices aiming to solve\nproblems in most areas of our digital society. A large part of the data communicated is expected\nto consist of various multimedia contents, such as live audio and video. This article presents a\nsolution for the communication of high definition video in low-delay scenarios (<200 ms) under the\nconstraints of devices with limited hardware resources, such as the Raspberry Pi. We verify that it\nis possible to enable low delay video streaming between Raspberry Pi devices using a distributed\nInternet of Things system called the SensibleThings platform. Specifically, our implementation\ntransfers a 6 Mbps H.264 video stream of 1280 Ã?â?? 720 pixels at 25 frames per second between devices\nwith a total delay of 181 ms on the public Internet, of which the overhead of the distributed Internet\nof Things communication platform only accounts for 18 ms of this delay. We have found that the\nmost significant bottleneck of video transfer on limited Internet of Things devices is the video coding\nand not the distributed communication platform, since the video coding accounts for 90% of the\ntotal delay....
Interactive Conceptual Instruction (ICI) based Multimedia has been developed to\nrepresent the electric concepts turn into more real and meaningful learning. The initial design\nof ICI based multimedia is a multimedia computer that allows users to explore the entire\nelectric concepts in terms of the existing conceptual and practical. Pre-service physics teachers\nshould be provided with the learning that could optimize the conceptions held by reconceptualizing\nconcepts in Basic Physics II, especially the concepts about electricity. To\ncollect and to analyze the data genuinely and comprehensively, researchers utilized a\ndeveloping method of ADDIE which has comprehensive steps: analyzing, design,\ndevelopment, implementation, and evaluation. The ADDIE developing steps has been utilized\nto describe comprehensively from the phase of analysis program up until the evaluation\nprogram. Based on data analysis, it can be concluded that ICI-based multimedia could\neffectively increase the pre-service physics teachers� understanding on electric conceptions for\nre-conceptualizing electric conceptions at Universitas Pendidikan Indonesia....
In this paper, we propose a new camera and a new imaging technique for obtaining unblurred high-dynamic-range\n(HDR) images. In this camera, we achieve pixelwise control of exposure parameters by using a liquid crystal on silicon.\nIn particular, we can control not only the amount of exposure but also the exposure time pixel by pixel. We call the\nimaging as variable exposure time imaging. By using the variable exposure time imaging, we can suppress motion\nblur of bright regions. In addition, we propose a motion blur recovering method from variable exposure time images\nfor obtaining more distinct images including darker regions. Experimental results show our method can take a clear\nHDR image even if the target object moves in HDR scene....
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