Clinical Manifestations of Gastrointestinal Symptoms in COVID-19 Patients: An Integrative Review

After the outbreak of novel coronavirus disease 2019 (COVID-19) in Wuhan, China, its spread to other countries is rapidly increasing. In this integrative review, we report the prevalence of gastrointestinal symptoms in patients with COVID-19. For this purpose, available articles on gastrointestinal manifestations in patients with COVID-19, which were reported from China, were reviewed. All reviewed articles were searched from December 11, 2019, to June 20, 2020, based on specific key words. Related findings in these articles show that the main target of COVID-19 is lung tissue, as after the virus enters the body, it mainly causes respiratory symptoms in affected patients. But in addition to respiratory symptoms, it is possible that, over time, these patients present with other symptoms, the most obvious of which are gastrointestinal symptoms. It is well documented that diarrhea and vomiting are the most common gastrointestinal symptoms in COVID-19 patients. As part of this report, we also look at the incidence and frequency of gastrointestinal symptoms in COVID-19 patients in Iran. The results can be used by providers as a guideline for better management of gastrointestinal symptoms in these patients. © 2021 Lippincott Williams and Wilkins. All rights reserved

Effects of family-centered empowerment model based education program on quality of life in methamphetamine users and their families

Background: Nowadays there are more concerns about drug treatment of methamphetamine abusers whereas quality of life (QOL) related supportive psychotherapy is less credited. Objectives: This study aimed to evaluate the effects of family-centered empowerment model on social support and QOL of methamphetamine users and their families. Patients and Methods: This study was a randomized clinical trial; individuals were randomly allocated to three groups: a group for educating methamphetamine users in recovery (95 subjects), a group for educating a family member of methamphetamine users in recovery (95 subjects) and a control group (95 subjects). Data collecting instruments were standard questionnaires of social support and health-related quality of life (HRQOL). Data were analyzed using �2-test, t-test, paired t-test, Pearson's correlation and ANOVA. Results: Mean scores of QOL and social support dimensions changed significantly in two intervention groups (P 0.05). Also, there was a positive significant relation (P < 0.05) between total social support and all dimensions of QOL for all study groups. Conclusions: Family-centered empowerment model, easily adapted to methamphetamine users and their families, leads to improved social supports and QOL. © 2014, Iranian Red Crescent Medical Journal; Published by Kowsar Corp

Scalar and vector Slepian functions, spherical signal estimation and spectral analysis

It is a well-known fact that mathematical functions that are timelimited (or spacelimited) cannot be simultaneously bandlimited (in frequency). Yet the finite precision of measurement and computation unavoidably bandlimits our observation and modeling scientific data, and we often only have access to, or are only interested in, a study area that is temporally or spatially bounded. In the geosciences we may be interested in spectrally modeling a time series defined only on a certain interval, or we may want to characterize a specific geographical area observed using an effectively bandlimited measurement device. It is clear that analyzing and representing scientific data of this kind will be facilitated if a basis of functions can be found that are "spatiospectrally" concentrated, i.e. "localized" in both domains at the same time. Here, we give a theoretical overview of one particular approach to this "concentration" problem, as originally proposed for time series by Slepian and coworkers, in the 1960s. We show how this framework leads to practical algorithms and statistically performant methods for the analysis of signals and their power spectra in one and two dimensions, and, particularly for applications in the geosciences, for scalar and vectorial signals defined on the surface of a unit sphere.Comment: Submitted to the 2nd Edition of the Handbook of Geomathematics, edited by Willi Freeden, Zuhair M. Nashed and Thomas Sonar, and to be published by Springer Verlag. This is a slightly modified but expanded version of the paper arxiv:0909.5368 that appeared in the 1st Edition of the Handbook, when it was called: Slepian functions and their use in signal estimation and spectral analysi

DESIGN OF GEODETIC NETWORKS BASED ON OUTLIER IDENTIFICATION CRITERIA: AN EXAMPLE APPLIED TO THE LEVELING NETWORK

We present a numerical simulation method for designing geodetic networks. The quality criterion considered is based on the power of the test of data snooping testing procedure. This criterion expresses the probability of the data snooping to identify correctly an outlier. In general, the power of the test is defined theoretically. However, with the advent of the fast computers and large data storage systems, it can be estimated using numerical simulation. Here, the number of experiments in which the data snooping procedure identifies the outlier correctly is counted using Monte Carlos simulations. If the network configuration does not meet the reliability criterion at some part, then it can be improved by adding required observation to the surveying plan. The method does not use real observations. Thus, it depends on the geometrical configuration of the network; the uncertainty of the observations; and the size of outlier. The proposed method is demonstrated by practical application of one simulated leveling network. Results showed the needs of five additional observations between adjacent stations. The addition of these new observations improved the internal reliability of approximately 18%. Therefore, the final designed network must be able to identify and resist against the undetectable outliers – according to the probability levels

High-resolution regional gravity field recovery from Poisson wavelets using heterogeneous observational techniques

2016-2017 > Academic research: refereed > Publication in refereed journal201804_a bcmaVersion of RecordPublishe