Methodological and Scientific-Methodological Foundations of Diagnostics of the Psychological and Pedagogical Potential of a Teacher

2021 ◽  
pp. 21-27
Author(s):  
Marina Romanova ◽  
Tat'yana Fedorenko

The most important theoretical and methodological issues related to the identification, assessment, formation and development of the teacher’s psychological and pedagogical potential include adequate methods of his psychodiagnostics. Until now, almost all diagnostic methods used in psychology, including pedagogical, were focused mainly on assessing the current professional level of a specialist’s development, and his potential psychological and pedagogical capabilities, which were not manifested or were not clearly manifested in practical activity, was considered rather within the framework of theory. The article offers for discussion a number of tasks that require methodological and methodological solutions, and are aimed at studying the psychological and pedagogical potential of the teacher.

2021 ◽  
Vol 10 (39) ◽  
pp. 50-61
Author(s):  
Alisar Hudimova ◽  
Ihor Popovych ◽  
Vita Baidyk ◽  
Olena Buriak ◽  
Olha Kechyk

Aim. The present study empirically investigates and theoretically substantiates the results of the impact of social media on young web-users’ psychological well-being during the forced self-isolation caused by the progression of the COVID-19 pandemic (N = 254). Materials and methods. Standardized valid psycho-diagnostic methods, the author’s questionnaire (A. Hudimova, 2021), correlation and factor analyses were used to identify young web users’ patterns of social media involvement during the forced self-isolation. Results. The results show that during the global COVID-19 pandemic, young web users give preference for passive social media use rather than for communication. The obtained results showed an expansion in the time spent via social media by young web users. It was found that the progression of the COVID-19 pandemic is accompanied by the participants’ experience of negative emotions and fears of the unknown (r = .204; p <.01). It is substantiated that increasing immersion of young web users in social media is a kind of strategy to escape from bad thoughts (r = .271; p <.01). Significantly, it is stated that uncontrolled use of social media causes sleep disorders during isolation (r = .444; p <.01). Conclusions. The study proves that young people spend almost all day online due to the obsessive pattern of social media involvement and/or procrastination, which often provokes withdrawal syndrome upon the attempt to distract from them. The lack of controlled time spending on social media during self-isolation provokes an exacerbation of anxiety, apathy, depressed mood, and a sense of isolation from social reality. The obtained results provide evidence that the causal relations of passive social media use provoke an exacerbation of feelings of alienation, disrupt the healthy rhythm of sleep, and psychological state of young web-users during the progression of the COVID-19 pandemic.


2010 ◽  
Vol 68 (1) ◽  
pp. 119-126 ◽  
Author(s):  
Ricardo André Amorim Leite ◽  
Maria Concépcion Garcia Otaduy ◽  
Gilson Edmar Gonçalves e Silva ◽  
Maria Lúcia Brito Ferreira ◽  
Maria de Fátima Vasco Aragão

The progress of epilepsies diagnosis has been great, but, amongst the diagnostic detailing that demand research, one of the most important is the essential lateralization and localization of epileptogenic zone, considered as the cerebral cortex region, that removed, will result in a free state of seizures. The present study aims to analyze the possible uses of proton spectroscopy for clinical and pre-surgical evaluation of focal extratemporal epilepsies, since this group presents the highest difficulty degree for lateralizing and locating epileptogenic zones. In almost all cases, a non invasive diagnosis can be performed using routine electroencephalography, video-electroencephalography - considered as gold standard, and magnetic resonance imaging. However, when the results of these exams are contradictory, some patients need invasive techniques, as the intra-cranial video-EEG, using deep electrodes, sub-dural strip and grid, that are associated with increased diagnostic cost and risk of complications, as cerebral hemorrhages and intra-cranial infections. Proton spectroscopy appears as a possibility, given its capacity to evaluate cerebral metabolism, by N-acetyl-aspartate (NAA), creatine (Cre) and choline (Cho) concentrations, amongst other metabolites. This non invasive method may provide time reduction of this evaluation and reliable level improvement for this topographical diagnosis.


2015 ◽  
Vol 38 (1) ◽  
pp. 73-78
Author(s):  
Ivica Gjurovski ◽  
Branko Angelovski ◽  
Toni Dovenski ◽  
Dine Mitrov ◽  
Trpe Ristoski

Abstract The aim of this study is to compare the results from the histopathology and the immunohistochemical method in the diagnostic of Porcine circovirus type 2 (PCV2) infection in pigs. The circovirus infection is a pig disease that is caused by a small, spherical, nonenveloped virus with a single stranded DNA genome which is spread throughout the pig industry worldwide. The circovirus is the etiological agent of a several pig diseases which today are thought to be the cause of the greatest economical loses in pig production. The most important of these diseases is the PMWS (post-weaning multisystemic wasting syndrome). In this article we have performed an investigation of four farms on which there had been a previous clinical diagnosis of the Post-weaning multisystemic wasting syndrome. The examination was performed on thirty pigs from these farms, from two to five months old, which had the most severe symptoms of the disease. Necropsy, histopathology and immunohistochemical diagnostic methods were performed. The most significant necropsy findings were the enlarged lymph nodes (especially the inguinal, mediasinal and the mesenteric lymph nodes). The main histopathological changes were located in the lymphatic organs presented by B and T lymphocyte depletion and increase in the number of the macrophages. PCV2 antigen and nucleic acid were detected in almost all of the examined tissues. The examination showed that the histopathological and immunohistochemical methods provide complementary results in diagnosing PCV2 in pigs.


2020 ◽  
Vol 10 (3) ◽  
pp. 86-107
Author(s):  
N.V. Meshkova ◽  
S.N. Enikolopov

Creativity is realised in various types of the criminal and deviant behaviour in almost all the spheres of activity. The interest of psychologists in this phenomenon is growing but the issues of the diagnostics of malevolent creativity (MC), predictors of the realisation of original decisions in the behaviour, and the evaluation and examination of negative creativity (NC) remain unresolved. While the results of the MC harm are clear to both the idea generator and the victim, the results of NC cannot always be assessed and examined due to the absence (or the disguise) of the intent to cause harm. The present article aims at reviewing the results of the research of the relationship between creativity and deviance. We provide a review of the types of deviant behaviour in business, science and everyday life situations and the analysis of its predictors. Based on the analysis of the results of the research of prosocial creativity in various branches of psychology, the authors identify the factors that promote the manifestation and inhibition of the relationship between creativity and deviance, and suggest preventive measures for MC and NC. Predictors of MC and NC, diagnostic methods and problems of expertise are analysed. A refined model of the relationship between creativity and deviance is proposed: the psychological characteristics of the leader and implementers, types of the situations of the MC and NC manifestation are expanded. The following factors are highlighted: a) the resistance to negative innovations; b) the factors that affect the assessment and expertise of both one’s own and other’s creativity and deviance.


2018 ◽  
Vol 2018 ◽  
pp. 1-9 ◽  
Author(s):  
Priyatam Khadka ◽  
Soniya Koirala ◽  
Januka Thapaliya

The clinicopathological manifestations of cutaneous tuberculosis are diverse. The precise diagnosis is often overlooked, due to clinical presentations as those of cutaneous diseases with different etiology and the relative paucity of the pathogens in the lesions. Meanwhile, almost all of the diagnostic methods confer lower sensitivity and specificities which augments further diagnostic challenges. This article revises the current scenario of the disease’s physiopathology and underscores clinicopathological challenges, due to multifaceted presentations of cutaneous tuberculosis, in the diagnosis.


2015 ◽  
Vol 59 (10) ◽  
pp. 5967-5975 ◽  
Author(s):  
Jae Jin Lee ◽  
Jung Hun Lee ◽  
Dae Beom Kwon ◽  
Jeong Ho Jeon ◽  
Kwang Seung Park ◽  
...  

ABSTRACTFast detection of β-lactamase (bla) genes allows improved surveillance studies and infection control measures, which can minimize the spread of antibiotic resistance. Although several molecular diagnostic methods have been developed to detect limitedblagene types, these methods have significant limitations, such as their failure to detect almost all clinically availableblagenes. We developed a fast and accurate molecular method to overcome these limitations using 62 primer pairs, which were designed through elaborate optimization processes. To verify the ability of this large-scalebladetection method (large-scaleblaFinder), assays were performed on previously reported bacterial control isolates/strains. To confirm the applicability of thelarge-scaleblaFinder, the assays were performed on unreported clinical isolates. With perfect specificity and sensitivity in 189 control isolates/strains and 403 clinical isolates, thelarge-scaleblaFinder detected almost all clinically availableblagenes. Notably, thelarge-scaleblaFinder detected 24 additional unreportedblagenes in the isolates/strains that were previously studied, suggesting that previous methods detecting only limited types ofblagenes can miss unexpectedblagenes existing in pathogenic bacteria, and our method has the ability to detect almost allblagenes existing in a clinical isolate. The ability oflarge-scaleblaFinder to detectblagenes on a large scale enables prompt application to the detection of almost allblagenes present in bacterial pathogens. The widespread use of thelarge-scaleblaFinder in the future will provide an important aid for monitoring the emergence and dissemination ofblagenes and minimizing the spread of resistant bacteria.


PLoS ONE ◽  
2021 ◽  
Vol 16 (10) ◽  
pp. e0257997
Author(s):  
Pierre-François D’Haese ◽  
Victor Finomore ◽  
Dmitry Lesnik ◽  
Laura Kornhauser ◽  
Tobias Schaefer ◽  
...  

Conventional testing and diagnostic methods for infections like SARS-CoV-2 have limitations for population health management and public policy. We hypothesize that daily changes in autonomic activity, measured through off-the-shelf technologies together with app-based cognitive assessments, may be used to forecast the onset of symptoms consistent with a viral illness. We describe our strategy using an AI model that can predict, with 82% accuracy (negative predictive value 97%, specificity 83%, sensitivity 79%, precision 34%), the likelihood of developing symptoms consistent with a viral infection three days before symptom onset. The model correctly predicts, almost all of the time (97%), individuals who will not develop viral-like illness symptoms in the next three days. Conversely, the model correctly predicts as positive 34% of the time, individuals who will develop viral-like illness symptoms in the next three days. This model uses a conservative framework, warning potentially pre-symptomatic individuals to socially isolate while minimizing warnings to individuals with a low likelihood of developing viral-like symptoms in the next three days. To our knowledge, this is the first study using wearables and apps with machine learning to predict the occurrence of viral illness-like symptoms. The demonstrated approach to forecasting the onset of viral illness-like symptoms offers a novel, digital decision-making tool for public health safety by potentially limiting viral transmission.


2015 ◽  
Vol 31 (4) ◽  
pp. 5-20 ◽  
Author(s):  
Krzysztof Galos ◽  
Marek Nieć ◽  
Piotr W. Saługa ◽  
Robert Uberman

Abstract Growing awareness of limits set by exhaustibility of natural resources has led to a conclusion that only through their valuation in monetary terms one may assess a comprehensive economic impact of their use. Thus mineral resources have been included from the beginning to almost all studies regarding natural resources assessments. The first result, widely recognized by international community, of researches came in the 1993 – edition of the “Handbook of National Accounting: Integrated Environmental and Economic Accounting”. One of the key outcomes of these works was a conclusion that measuring value of mineral resources for mineral raw materials production, alongside with physical flows of these materials, environment related transactions and measuring impact of the economy on the environment, should make basic pillars of this newly designed system, later named as the System of Integrated Environmental and Economic Accounts (SEEA). As implementation of SEEA is still in a primary stage, many methodological issues remain unsolved. This article attempts to enumerate achievements made so far and indicate issues in need for further development. Taking into account the importance of mineral resources for further economic development of Poland authors indicate a necessity to develop and implement methodologies for monetary assessment of resources/reserves available, extracted and depleted in order to form a methodological base for a meaningful policy of sustainable growth. The special challenge results from monetary assessment of explored but yet undeveloped mineral deposits.


2021 ◽  
Vol 21 ◽  
Author(s):  
Akansha Bhatt ◽  
Zeeshan Fatima ◽  
Munindra Ruwali ◽  
Saif Hameed

: The ongoing pandemic of coronavirus disease 2019 (COVID-19) caused by SARS-COV-2 has afflicted millions of lives globally and disrupted almost all the activities of mankind. Under such pressing circumstances when there are no effective therapeutics available, fast and accurate diagnosis of the corona virus is the only way out to limit the transmission. Since the inception of COVID-19, the demand of diagnostic tests has increased day by day and RT-PCR is the commonly used screening test which is not only time consuming but requires sophisticated resources. To address the increasing rate of spread of COVID-19, there is an urgent need of more diagnostic tools as the researches on vaccines is still at rudimentary level. This review summarizes an inventory on the diverse and currently available diagnostic methods based on nucleic acid and serology along with some of those working on novel principles viz. CRISPR, biosensors and NGS. Additionally, a gist of accessible diagnostic kits that are already approved by US & European authorities for the diagnosis of COVID-19 are also suggested that will help in selecting most effective tests under the given scenario. Taken together, this review will pave way for further strengthening the researches in the rapid and safer diagnostics of SARS-COV-2.


Author(s):  
Brian Glenn St Hilaire ◽  
Neva C. Durand ◽  
Namita Mitra ◽  
Saul Godinez Pulido ◽  
Ragini Mahajan ◽  
...  

AbstractEarly detection of infection with SARS-CoV-2 is key to managing the current global pandemic, as evidence shows the virus is most contagious on or before symptom onset. Here, we introduce a low-cost, high-throughput method for diagnosis of SARS-CoV-2 infection, dubbed Pathogen-Oriented Low-Cost Assembly & Re-Sequencing (POLAR), that enhances sensitivity by aiming to amplify the entire SARS-CoV-2 genome rather than targeting particular viral loci, as in typical RT-PCR assays. To achieve this goal, we combine a SARS-CoV-2 enrichment method developed by the ARTIC Network (https://artic.network/) with short-read DNA sequencing and de novo genome assembly. We are able to reliably (>95% accuracy) detect SARS-CoV-2 at concentrations of 84 genome equivalents per milliliter, better than the reported limits of detection of almost all diagnostic methods currently approved by the US Food and Drug Administration. At higher concentrations, we are able to reliably assemble the SARS-CoV-2 genome in the sample, often with no gaps and perfect accuracy. Such genome assemblies enable the spread of the disease to be analyzed much more effectively than would be possible with an ordinary yes/no diagnostic, and can help identify vaccine and drug targets. Finally, we show that POLAR diagnoses on 10 of 10 clinical nasopharyngeal swab samples (half positive, half negative) match those obtained in a CLIA-certified lab using the Center for Disease Control’s 2019-Novel Coronavirus test. Using POLAR, a single person can process 192 samples over the course of an 8-hour experiment, at a cost of ∼$30/patient, enabling a 24-hour turnaround with sequencing and data analysis time included. Further testing and refinement will likely enable greater enhancements in the sensitivity of the above approach.


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