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Mapi Research Trust is a non-profit organization dedicated to improving patients’ quality of life by facilitating access to Patient-Centered Outcome (PCO) information http://mapi-trust.org/questionnaires/covid-19-questionnaires/partial-covid-19-coa-list/

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The Short-Form Leeds Dyspepsia Questionnaire is a reliable, valid and responsive self-completed outcome measure for quantifying the frequency and severity of dyspepsia symptoms, which is shorter and more convenient than the Leeds Dyspepsia Questionnaire.

Access up-to-date information on the Aberdeen Dyspepsia Questionnaire (ADQ): copyright, licensing, scoring, translations, ...

Cronfa - Swansea University Open Access Repository _____________________________________________________________ This is an author produced version of a paper published in…

Clinician’s Computer-Assisted Guide to the Choice of Instruments

QOLID is a new and comprehensive database in the field of health-related quality of life (QoL). It is dedicated to all those involved in the evaluation of health outcomes such as academics researchers, physicians, students, pharmaceutical companies, Health Authorities and international organizations. Its aim is to help researchers to find relevant and reliable information on QoL and health outcomesinstruments in an easy and practical way available to all of them.

Objective To compare the clinical effectiveness of doctors and nurses in undertaking upper and lower gastrointestinal endoscopy. Design Pragmatic trial with Zelen’s randomisation before consent to minimise distortion of existing practice. Setting 23 hospitals in the United Kingdom. In six hospitals, nurses undertook both upper and lower gastrointestinal endoscopy, yielding a total of 29 centres. Participants 67 doctors and 30 nurses. Of 4964 potentially eligible patients, we randomised 4128 (83%) and recruited 1888 (38%) from July 2002 to June 2003. Interventions Diagnostic upper gastrointestinal endoscopy and flexible sigmoidoscopy, undertaken with or without sedation, with the standard preparation, techniques, and protocols of participating hospitals. After referral for either procedure, patients were randomised between doctors and nurses. Main outcome measures Gastrointestinal symptom rating questionnaire (primary outcome), gastrointestinal endoscopy satisfaction questionnaire and state-trait anxiety inventory (all analysed by intention to treat); immediate and delayed complications; quality of examination and corresponding report; patients’ preferences for operator; and new diagnoses at one year (all analysed according to who carried out the procedure). Results There was no significant difference between groups in outcome at one day, one month, or one year after endoscopy, except that patients were more satisfied with nurses after one day. Nurses were also more thorough than doctors in examining the stomach and oesophagus. While quality of life scores were slightly better in patients the doctor group, this was not statistically significant. Conclusions Diagnostic endoscopy can be undertaken safely and effectively by nurses. Trial registration International standard RCT 82765705

To develop and validate a gastrointestinal (GI) symptom rating questionnaire for patients with luminal GI symptoms including where no diagnosis has be…

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Intelligent search from Bing makes it easier to quickly find what you’re looking for and rewards you.

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PDF | Context: Fatigue is the most prominent feature of long COVID. With the increasing burden of long COVID cases post-acute phase of illness after... | Find, read and cite all the research you need on ResearchGate

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Session: Significant efforts are being made to develop nanoscale electronic devices integrated into neuromorphic circuits capable of emulating...

Dr. Yakov Roizin of TowerJazz - Resistive Memories Promising for Industrial Applications - IEEE / ACRC Workshop on Memristors and Resistive Memory Devices and Applications in Computer Architecture and Brain-Inspired Systems. March 7, 2012 Technion Faculty of Electrical Engineering.

List of publications on this subject can be found at https://scholar.google.com/citations?user=bvSd44cAAAAJ&hl=en. I can be contacted via https://www.linkedin.com/in/dotrimar/

Read more at https://techxplore.com/news/2023-03-echo-state-graph-neural-networks-1.html In this video: The echo state layer for graph embedding. The hidden state of a node in the graph is updated with the projection of the node itself and the previous hidden state of the neighboring nodes, both are processed with the fix and random echo state layer implemented with random memristive array. Video Credit: Wang et al. Subscribe: https://www.youtube.com/c/Science-X-Network Join Science X channel to support our mission: https://www.youtube.com/c/Science-X-Network/join Thank you for helping our YouTube channel reach new heights! Hitting subscribe aids us in our mission to bring you the latest and greatest research news in science, medicine and technology.

Control of Switching Modes and Conductance Quantization in Oxygen Engineered HfOx based Memristive Devices: Oxygen stoichiometry engineering is intrinsically achieved in hafniumoxide-based memristive devices via reactive molecular beam epitaxy in a Pt/HfOx/TiN device configuration. This allows for uncovering the nature of complex coexistence of multiple switching modes (unipolar, bipolar, complementary, threshold) and occurrence of quantum conductance states. The findings are relevant to the control of switching dynamics in all oxide-based switching devices. This is reported by Sankaramangalam Ulhas Sharath, Stefan Vogel, Leopoldo Molina-Luna, Erwin Hildebrandt, Christian Wenger, Jose Kurian, Michael Duerrschnabel, Tore Niermann, Gang Niu, Pauline Calka, Michael Lehmann, Hans-Joachim Kleebe, Thomas Schroeder, and Lambert Alff in the article https://doi.org/10.1002/adfm.201700432. To know more, please go to the Advanced Functional Materials homepage.

This tutorial has been part of the Conference on Neuromorphic Materials, Devices, Circuits and Systems (NeuMatDeCas) that took place from the 23rd to the 25th.

Alex Nugent's presentation at SPIE Disruptive Technologies 2018 conference, Orlando FL.

In 1971, Leon O. Chua published a seminal paper on the missing basic circuit element. Leon O. Chua and Sung-Mo Kang published a paper, in 1976, that described a large class of devices and systems they called memristive devices and systems. Just recently, Stan Williams and his research team at HP Labs unveiled a two-terminal titanium dioxide nanoscale device in Nature magazine that exhibited memristor characteristics. This symposium will explore the potential of memristors and memristive systems as they advance state of the art nano-electronic circuits. Program (Part 2) Memristors as Synapses in a Neural Computing Architecture Greg Snider, Senior Architect, Information and Quantum Systems Laboratory, Hewlett-Packard Laboratories Prospects and Challenges of Redox-based Memristive RRAM Concpets Rainer Waser, RWTH Aachen University at Research Center Juelich, Germany The event is co-sponsored by UC Merced and UC Berkeley in cooperation with the Semiconductor Industry Association (SIA). The Symposium is funded by the National Science Foundation.

Recently, computation in memory becomes very hot due to the urgent needs of high computing efficiency in artificial intelligence applications. In contrast to von-neumann architecture, computation in memory technology avoids the data movement between CPU/GPU and memory which could greatly reduce the power consumption.Memristor is one ideal device which could not only store information with multi-bits, but also conduct computing using ohm’s law. To make the best use of the memristor in neuromorphic systems, a memristor-friendly architecture and the software-hardware collaborative design methods are essential, and the key problem is how to utilize the memristor’s analog behavior.We have designed a generic memristor crossbar based architecture for convolutional neural networks and perceptrons, which take full consideration of the analog characteristics of memristors. Furthermore, we have proposed an online learning algorithm for memristor based neuromorphic systems which overcomes the varation of memristor cells and endue the system the ability of reinforcement learning based on memristor’s analog behavior. Full abstract and speaker details can be found here: https://nus.edu/3cSFD3e Register for free for all our upcoming webinars at https://nus.edu/3bcN9pS.

HKU EEE x IEEE HK ED/SSC Distinguished Speaker Series Speaker: Prof. Yuchao Yang, Director of Center for Brain Inspired Chips, Peking University Date: 27 August 2021 For more seminars, see https://r10.ieee.org/hk-edssc/