Exacerbarea tulburărilor psihice preexistente în perioada pandemiei COVID-19

Background: There is extensive research available on the impact of COVID-19 on physical health, but there is a paucity of studies on effect of COVID-19 on psychiatric illness. Pandemic has adversely affected the lives of people with psychiatric disorders by worsening of preexisting symptoms. Objective of the study: To ascertain factors and symptoms associated with worsening of psychiatrics conditions during the coronavirus disease 2019 (COVID-19) pandemic. Material and methods: This study analyzed literature data from electronic libraries such as PubMed, Medline, MedScape, PsycInfo and CINAHL. The latest search April 2022. Results: Psychiatric features are typically multimorbid, characterized by great intra- and inter-individual variability in clinical presentation, and may be largely influenced by life stress events. The COVID-19 pandemic represents an important stressor associated with the exacerbation of psychiatrics symptoms. The diagnosis of COVID-19 and subsequent hospitalization, psychological distress and neuropsychiatric manifestations of the illness can lead to relapse. The most frequent symptom among patients reporting worsened symptoms was depression, followed by anxiety, insomnia, irritability, rare- delusions, hallucinations. Worsening of psychiatric conditions has also been associated with higher risk of suicidal ideation and need to increase or adjust the medication or referral for a new therapy. Conclusions: More than half of the patients are experiencing worsening of their psychiatric conditions during the COVID-19. Most frequent symptoms are depression, anxiety and insomnia.Introducere: Există mai multe studii extinse referitor la impactul pandemiei COVID-19 asupra patologiilor somatice, în aceleași timp avem date insuficiente despre efectul pandemiei COVID-19 asupra bolilor psihice. Pandemia curentă în mod negativ afectează viețile oamenilor suferiți de tulburare psihică, mai ales prin exacerbarea simptomelor preexistente. Scopul lucrării: Determinare factorilor și simptomelor asociate cu exacerbarea stărilor psihiatrice în timpul pandemiei de coronavirus (COVID-19). Materiale și Metode: Au fost supuse analizei și sintezei lucrările publicate prin librării electronice așa cum PubMed, Medline, MedScape, PsihInfo și CINAHL. Ultima lucrare studiată din Aprilie 2022. Rezultate: De obicei, stări psihiatrice sunt comorbide, caracterizate prin variabilitate prezentărilor clinice intra- și extra-individuală și poate fi larg influențată de factori de stres. Pandemie COVID-19 reprezintă factor de stres important asociat cu exacerbarea simptomelor psihiatrice. Diagnoza COVID-19 cu internare ulterioară, detresă psihologică și manifestări neurocognitive patologiei aduce spre recădere. Cele mai frecvente simptome raportate de către pacienți ca exacerbare sunt depresie, urmată de insomnia, iritabilitate, mai rar- delir, halucinații. Exacerbarea tulburărilor psihice des se asociază cu instalarea ideației autolitice și necesitatea de a crește sau regla doza terapeutica sau chiar referirea spre terapie nouă. Concluzii: Mai mult de jumătate pacienților psihiatrice au experimentat exacerbarea tulburărilor psihice pe parcursul pandemiei COVID-19. Cele mai des întâlnite simptome sunt depresia, anxietate și insomnia

WORSENING OF PREEXISTING PSYCHIATRIC CONDITIONS DURING THE COVID-19 PANDEMIC

Universitatea de Stat de Medicină şi Farmacie „Nicolae Testemiţanu”, Chişinău, Republica MoldovaIntroducere: Există mai multe studii extinse referitor la impactul pandemiei COVID-19 asupra patologiilor somatice, în aceleași timp avem date insuficiente despre efectul pandemiei COVID-19 asupra bolilor psihice. Pandemia curentă în mod negativ afectează viețile oamenilor suferiți de tulburare psihică, mai ales prin exacerbarea simptomelor preexistente. Scopul lucrării: Determinare factorilor și simptomelor asociate cu exacerbarea stărilor psihiatrice în timpul pandemiei de coronavirus (COVID-19). Materiale și Metode: Au fost supuse analizei și sintezei lucrările publicate prin librării electronice așa cum PubMed, Medline, MedScape, PsihInfo și CINAHL. Ultima lucrare studiată din Aprilie 2022. Rezultate: De obicei, stări psihiatrice sunt comorbide, caracterizate prin variabilitate prezentărilor clinice intra- și extra-individuală și poate fi larg influențată de factori de stres. Pandemie COVID-19 reprezintă factor de stres important asociat cu exacerbarea simptomelor psihiatrice. Diagnoza COVID-19 cu internare ulterioară, detresă psihologică și manifestări neurocognitive patologiei aduce spre recădere. Cele mai frecvente simptome raportate de către pacienți ca exacerbare sunt depresie, urmată de insomnia, iritabilitate, mai rar- delir, halucinații. Exacerbarea tulburărilor psihice des se asociază cu instalarea ideației autolitice și necesitatea de a crește sau regla doza terapeutica sau chiar referirea spre terapie nouă. Concluzii: Mai mult de jumătate pacienților psihiatrice au experimentat exacerbarea tulburărilor psihice pe parcursul pandemiei COVID-19. Cele mai des întâlnite simptome sunt depresia, anxietate și insomnia.Background: There is extensive research available on the impact of COVID-19 on physical health, but there is a paucity of studies on effect of COVID-19 on psychiatric illness. Pandemic has adversely affected the lives of people with psychiatric disorders by worsening of preexisting symptoms. Objective of the study: To ascertain factors and symptoms associated with worsening of psychiatrics conditions during the coronavirus disease 2019 (COVID-19) pandemic. Material and methods: This study analyzed literature data from electronic libraries such as PubMed, Medline, MedScape, PsycInfo and CINAHL. The latest search April 2022. Results: Psychiatric features are typically multimorbid, characterized by great intra- and inter-individual variability in clinical presentation, and may be largely influenced by life stress events. The COVID-19 pandemic represents an important stressor associated with the exacerbation of psychiatrics symptoms. The diagnosis of COVID-19 and subsequent hospitalization, psychological distress and neuropsychiatric manifestations of the illness can lead to relapse. The most frequent symptom among patients reporting worsened symptoms was depression, followed by anxiety, insomnia, irritability, rare- delusions, hallucinations. Worsening of psychiatric conditions has also been associated with higher risk of suicidal ideation and need to increase or adjust the medication or referral for a new therapy. Conclusions: More than half of the patients are experiencing worsening of their psychiatric conditions during the COVID-19. Most frequent symptoms are depression, anxiety and insomnia

Fundraising competitive forces of small art and cultural NGOs during the crisis

The paper provides an analysis on fundraising competitive forces of small art and culture organizations in order to identify optimal features of fundraising strategy development during and after crisis time when absence of donors becomes a pressing issue. The analysis is fulfilled based on Michael Porter five forces model structure. Fundraising strategies should focus on intensive development of advanced communication with donors through modern technology application and reflect an integral vision of social needs which is the key success factor of fundraising strategy implementation in independent autonomous organizations. Financial resources in nonprofit sector seriously affect the stability of programs implementation. The lack of stability undermines organization efficiency what is evident to donors. This requires formulation of strategy for professional and repetitive fundraising

A Novel System for Non-Invasive Method of Animal Tracking and Classification in Designated Area Using Intelligent Camera System

This paper proposed a novel system for non-invasive method of animal tracking and classification in designated area. The system is based on intelligent devices with cameras, which are situated in a designated area and a main computing unit (MCU) acting as a system master. Intelligent devices track animals and then send data to MCU to evaluation. The main purpose of this system is detection and classification of moving animals in a designated area and then creation of migration corridors of wild animals. In the intelligent devices, background subtraction method and CAMShift algorithm are used to detect and track animals in the scene. Then, visual descriptors are used to create representation of unknown objects. In order to achieve the best accuracy in classification, key frame extraction method is used to filtrate an object from detection module. Afterwards, Support Vector Machine is used to classify unknown moving animals

Fundraising competitive forces of small art and cultural NGOs during the crisis

The paper provides an analysis on fundraising competitive forces of small art and culture organizations in order to identify optimal features of fundraising strategy development during and after crisis time when absence of donors becomes a pressing issue. The analysis is fulfilled based on Michael Porter five forces model structure. Fundraising strategies should focus on intensive development of advanced communication with donors through modern technology application and reflect an integral vision of social needs which is the key success factor of fundraising strategy implementation in independent autonomous organizations. Financial resources in nonprofit sector seriously affect the stability of programs implementation. The lack of stability undermines organization efficiency what is evident to donors. This requires formulation of strategy for professional and repetitive fundraising

Tool for Parsing Important Data from Web Pages

This paper discusses the tool for the main text and image extraction (extracting and parsing the important data) from a web document. This paper describes our proposed algorithm based on the Document Object Model (DOM) and natural language processing (NLP) techniques and other approaches for extracting information from web pages using various classification techniques such as support vector machine, decision tree techniques, naive Bayes, and K-nearest neighbor. The main aim of the developed algorithm was to identify and extract the main block of a web document that contains the text of the article and the relevant images. The algorithm on a sample of 45 web documents of different types was applied. In addition, the issue of web pages, from the structure of the document to the use of the Document Object Model (DOM) for their processing, was analyzed. The Document Object Model was used to load and navigation of the document. It also plays an important role in the correct identification of the main block of web documents. The paper also discusses the levels of natural language. These methods of automatic natural language processing help to identify the main block of the web document. In this way, the all-textual parts and images from the main content of the web document were extracted. The experimental results show that our method achieved a final classification accuracy of 88.18%