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  1. Article ; Online: The role of spiritual intelligence in predicting the empathy levels of nurses with COVID-19 patients.

    Aliabadi, Parastoo Karimi / Zazoly, Atefeh Zabihi / Sohrab, Mehrnoush / Neyestani, Farkhondeh / Nazari, Nahid / Mousavi, Seyed Hassan / Fallah, Abolghasem / Youneszadeh, Majid / Ghasemiyan, Masoumeh / Ferdowsi, Mohammad

    Archives of psychiatric nursing

    2021  Volume 35, Issue 6, Page(s) 658–663

    Abstract: Aim: Given the prolongation of the newly emerging COVID-19 pandemic and the significance of caring for the patients by nursing staff, investigating and planning for the different psychological dimensions of this group is of paramount importance. Hence, ... ...

    Abstract Aim: Given the prolongation of the newly emerging COVID-19 pandemic and the significance of caring for the patients by nursing staff, investigating and planning for the different psychological dimensions of this group is of paramount importance. Hence, this study investigated the role of spiritual intelligence in predicting nurses' empathizing with COVID-19 patients.
    Methods: This descriptive-correlation study was conducted in 2021 on nurses caring for COVID-19 patients in three public hospitals. The researchers used two standard questionnaires, including the Jefferson Scale of Empathy (JSE) and Spiritual Intelligence (SI), for data collection. The collected data were analyzed in SPSS16 using descriptive statistics and the following: The Mann-Whitney U test, Kruskal-Wallis test, Regression, chi-square test, and Pearson and Spearman correlations.
    Results: The statistical population consisted of 338 nurses with an average age of 34 and ten years of work experience. There was a significant positive relationship between the empathy scores and spiritual intelligence scores of the nurses caring for COVID-19 patients (P < 0.05). It was also concluded from the regression analysis that, spiritual intelligence affect empathy. Mean score of empathy was higher in hospitals where more nursing staff had MSc degrees. There was a significant difference between the empathy scores of the three hospitals (P < 0.05).
    Conclusion: The results indicated that there is a positive relationship between empathy and spiritual intelligence. Therefor improving spiritual intelligence is the appropriate strategy to ameliorate empathy during the COVID19 pandemic. At the same time, study indicated attention to the issue of nurses' mental health. Hence, it was suggested to incorporate these issues in the training programs and national/international decisions.
    MeSH term(s) Adult ; COVID-19 ; Empathy ; Humans ; Intelligence ; Pandemics ; SARS-CoV-2 ; Surveys and Questionnaires
    Language English
    Publishing date 2021-10-24
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 639197-7
    ISSN 1532-8228 ; 0883-9417
    ISSN (online) 1532-8228
    ISSN 0883-9417
    DOI 10.1016/j.apnu.2021.10.007
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Site selection for artificial reefs using a new combine Multi-Criteria Decision-Making (MCDM) tools for coral reefs in the Kish Island – Persian Gulf

    Mousavi, Seyed Hassan / Afshin Danehkar / Danial Azhdari / Hadi Poorbagher / Mohammad Reza Shokri

    Ocean & coastal management. 2015 July, v. 111

    2015  

    Abstract: The present study investigates the suitability of the Kish Island coastal areas for the establishment of Corals Artificial Reefs (CAR) using the new Spatial Multi-Criteria Decision-Making (SMCDM) tool. This new method based on the combination of existing ...

    Abstract The present study investigates the suitability of the Kish Island coastal areas for the establishment of Corals Artificial Reefs (CAR) using the new Spatial Multi-Criteria Decision-Making (SMCDM) tool. This new method based on the combination of existing Multi-Criteria Decision-Making (MCDM) with Expert Systems (ES), Weighted Linear Combination (WLC) and field study. In this research suitable artificial reefs areas were determined through 3 stages of analysis: (i) evaluation (identification, scoping and weighting) criteria and sub criteria using literature review, Delphi method and Pair-Wise comparison (PWC), respectively; (ii) construction of the GIS model based on MCDM approach; and (iii) verification of the GIS model outputs and prioritization of the selected areas using field study and Analytical Hierarchy Process (AHP), respectively. As a result, seven alternatives (7.2% of the study area) were identified as the most preferred areas for CAR sitting. Ranking of alternatives by AHP indicated that zones 7 and 6 obtained the highest priority and zones 5, 2, 3, 4 and 1 had the lowest priority for CAR establishing in Kish Island, respectively. In this study the WLC and AHP was used for identification and prioritization of the most preferred areas, respectively. There was a difference between the results of the WLC and AHP. We propose the WLC should be used for the identification and AHP should be used for prioritization of alternatives.
    Keywords artificial reefs ; artificial selection ; coasts ; coral reefs ; corals ; expert systems ; geographic information systems ; methodology ; models ; multi-criteria decision making ; prioritization ; Persian Gulf
    Language English
    Dates of publication 2015-07
    Size p. 92-102.
    Publishing place Elsevier Ltd
    Document type Article
    ISSN 0964-5691
    DOI 10.1016/j.ocecoaman.2015.03.004
    Database NAL-Catalogue (AGRICOLA)

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  3. Article: Genetic diversity of Iranian lettuce (Lactuca sativa. L) accessions revealed by cytological traits

    Mousavi, Seyed Hassan / Mohammad Reza Hassandokht / Rajab Choukan / Aliakbar Ghanbari / Alessio Papini

    Caryologia. 2013 Mar. 1, v. 66, no. 1

    2013  

    Abstract: In this study, 15 different accessions of Iranian lettuce cultivars and varieties that were collected from different regions were investigated. Starting from the root apical meristem, we measured the number and size of the chromosomes. The karyotypic ... ...

    Abstract In this study, 15 different accessions of Iranian lettuce cultivars and varieties that were collected from different regions were investigated. Starting from the root apical meristem, we measured the number and size of the chromosomes. The karyotypic formula was determined. The basic chromosome number was n = 9 in all accessions, possibly due to ancient origin, also all accessions had morphological dissimilarity, and heteromorphisms between chromosomes and their chromosomal types were metacentric, submetacentric and subtelocentric. Analysis of variance showed significant differences between chromosomal characteristics. The maximum size of the estimated genome (in terms of chromosome length) was that of the Qom accession (62.45 μm). The minimum size was that of the Babol accession (19.94 μm). Symmetrical and asymmetrical karyotypes were observed between the accessions. The formula of the Ahwaz accession was 12m + 4sm + 2t with the maximum centromic index (40.93%), while the Fasa accession had a 4m + 10sm + 4st karyotypic formula and the minimum value (28.73). There were different numbers of satellites present on the chromosomes in the different accessions. Some of them had two satellites, some one and the others none. In principle component analysis two components had more than 82.75% of the data variations. Based on the first and second components the accessions separated into three groups. Cluster analysis of karyotypic traits based on the unweighted paired group method using arithmetic average (UPGMA) separated the accessions in three groups. The results of this study will be useful for accession classification and identification.
    Keywords Lactuca sativa ; analysis of variance ; apical meristems ; chromosome number ; chromosomes ; cluster analysis ; cultivars ; genetic variation ; genome ; karyotyping ; lettuce ; principal component analysis ; satellites
    Language English
    Dates of publication 2013-0301
    Size p. 41-48.
    Publishing place Routledge
    Document type Article
    ZDB-ID 215519-9
    ISSN 2165-5391 ; 0008-7114
    ISSN (online) 2165-5391
    ISSN 0008-7114
    DOI 10.1080/00087114.2013.780440
    Database NAL-Catalogue (AGRICOLA)

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  4. Article: Genetic diversity of Iranian lettuce (Lactuca sativa. L) accessions revealed by cytological traits

    Mousavi, Seyed Hassan / Mohammad Reza Hassandokhtauthor Department of Horticultural Sciences, Faculty of Agriculture, University of Tehran, Karaj, Iran / Rajab Choukanauthor Seed and Plant Improvement Institute, Karaj, Iran / Aliakbar Ghanbariauthor Seed and Plant Improvement Institute, Karaj, Iran / Alessio Papiniauthor Department of Biology, University of Florence, Via La Pira, 4, 50121, Firenze, Italy
    Language English
    Document type Article
    Database AGRIS - International Information System for the Agricultural Sciences and Technology

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