Academic literature on the topic 'Psychophysiological state'
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Journal articles on the topic "Psychophysiological state"
Shchelkanova, E. S. "Rapid noncontact diagnostics of psychophysiological state in workers of hazardous industries." Medicо-Biological and Socio-Psychological Problems of Safety in Emergency Situations, no. 2 (June 22, 2019): 111–20. http://dx.doi.org/10.25016/2541-7487-2019-0-2-111-120.
Full textTereshchenko, V. I., D. I. Frankiv, and L. A. Khudoliy. "The influence of motivation on the psychophysiological state of a person." Scientific Journal of National Pedagogical Dragomanov University. Series 15. Scientific and pedagogical problems of physical culture (physical culture and sports), no. 6(137) (June 22, 2021): 101–5. http://dx.doi.org/10.31392/npu-nc.series15.2021.6(137).24.
Full textKovaleva, A., A. Kvitchasty, and V. Anisimov. "PSYCHOPHYSIOLOGICAL INDICATORS OF FLOW STATE." Human Sport Medicine 20, no. 2 (July 13, 2020): 47–52. http://dx.doi.org/10.14529/hsm200206.
Full textNagashima, Keiko, Shihori Aoki, Yoshiaki Hayasaka, Kiyoyuki Yamazaki, and Katsuro Okamoto. "Psychophysiological study of hyper-arousal state." Japanese journal of ergonomics 35, no. 1Supplement (1999): 73. http://dx.doi.org/10.5100/jje.35.1supplement_73.
Full textSuzuki, Tatsuhiko, Shihori Aoki, Yoshiaki Hayasaka, Tomokazu Kawamura, Kiyoyuki Yamazaki, and Katsuro Okamoto. "Psychophysiological study of hyper-arousal state." Japanese journal of ergonomics 35, no. 1Supplement (1999): 73a. http://dx.doi.org/10.5100/jje.35.1supplement_73a.
Full textKalnysh, V. V., I. S. Trinka, S. M. Pashkovsky, N. V. Koval, V. K. Tyshchenko, and O. V. Bomk. "Transformation of psychophysiological characteristics in practically healthy and patients with hypertension of the I stage military pilots. Message II. Hidden factors that affect the formation of the ability of pilots with different health conditions." Reports of Vinnytsia National Medical University 25, no. 4 (November 30, 2021): 628–34. http://dx.doi.org/10.31393/reports-vnmedical-2021-25(4)-21.
Full textIvanovsky, V. S., E. S. Shchelkanova, and I. V. Markin. "Psychophysiological Express Control of Persons of Hazardous Occupations Operating Weapons Systems." Disaster Medicine, no. 1 (February 2021): 45–50. http://dx.doi.org/10.33266/2070-1004-2021-1-45-50.
Full textIlyin, V. N., M. M. Filippov, A. S. Rovniy, A. Alwani, and S. B. Koval. "Psychophysiological state of athletes with chronic fatigue." CHERKASY UNIVERSITY BULLETIN: BIOLOGICAL SCIENCES SERIES, no. 1 (2018): 32–38. http://dx.doi.org/10.31651/2076-5835-2018-1-1-32-38.
Full textReznikova, T. N., I. U. Terent'eva, N. A. Seliverstova, V. I. Semivolos, and G. V. Kataeva. "Anxiety as an indicator of psychophysiological state." International Journal of Psychophysiology 69, no. 3 (September 2008): 303. http://dx.doi.org/10.1016/j.ijpsycho.2008.05.303.
Full textPodevijn, Gaëtan, Rehan O’Grady, Carole Fantini-Hauwel, and Marco Dorigo. "Investigating the effect of the reality gap on the human psychophysiological state in the context of human-swarm interaction." PeerJ Computer Science 2 (September 19, 2016): e82. http://dx.doi.org/10.7717/peerj-cs.82.
Full textDissertations / Theses on the topic "Psychophysiological state"
Wusk, Grace Caroline. "Psychophysiological Monitoring of Crew State for Extravehicular Activity." Diss., Virginia Tech, 2021. http://hdl.handle.net/10919/103386.
Full textDoctor of Philosophy
A spacewalk is one of the most important and physically and mentally challenging tasks that astronauts complete. With next-generation missions to the Moon and Mars, exploration spacewalks will challenge astronauts in reduced-weight environments (1/6 and 1/3 Earth's gravity) with longer, more frequent spacewalks and with less help from mission control. To keep astronauts safe while exploring there is a need to better understand astronaut health and performance (physical and mental) during spacewalks. With knowledge of how astronauts will respond to high workload and stressful events, we can plan missions and design tools that can best assist them during spacewalks on the Moon and Mars when help from Earth mission control is limited. Traditional tools of quantifying mental state are not suitable for real-time assessment during spacewalks. Current methods, including subjective surveys and performance-based computer tests, require time and attention to complete and cannot assess real-time operations. The focus of this dissertation is to create a psychophysiological monitoring tool to measure mental workload during a virtual reality (VR) spacewalk. Psychophysiological monitoring uses physiological measures, like heart rate and breathing rate, to predict psychological state, like high workload or stress. Physiological signals were recorded using commercial wearable devices in two human research studies, one at Virginia Tech and one at NASA Johnson Space Center. With machine learning, computer models can be trained to recognize patterns in physiological measures for different psychological states. Once a model is trained, it can be tested on new data to predict mental workload. To train and test the models, participants in the studies completed high and low workload versions of the VR task. The VR task was specifically designed for this study to simulate and measure performance during a mentally-challenging spacewalk scenario. The participants walked at their own pace on a treadmill while wearing a VR headset to move along a virtual lunar surface, while balancing their time and resources. They were also responsible for identifying and recalling flags along their virtual path. Ultimately, this work tests the limits of extending laboratory psychophysiological monitoring to more realistic environments using wearable devices, and of generalizing predictive models across participants, times, and tasks. This work paves the way for future field studies and real-time implementation to close the loop between human and automation.
Kuroda, Yusuke. "Metamotivational dominance and state in relation to psychophysiological response during exercise." Thesis, Aberystwyth University, 2009. http://hdl.handle.net/2160/caebd8a2-077b-49b1-a9bb-06ecd11c0dfe.
Full textCannon, Jordan. "Statistical analysis and algorithms for online change detection in real-time psychophysiological data." Thesis, University of Iowa, 2009. https://ir.uiowa.edu/etd/342.
Full textThrall, Graham. "Psychosocial and psychophysiological characteristics of atrial fibrillation patients and their influence on the prothrombotic state and prognosis." Thesis, University of Birmingham, 2006. http://etheses.bham.ac.uk//id/eprint/246/.
Full textJurosic, Brianna K. "The Effectiveness of Psychophysiological Relaxation Techniques in Reducing State Anxiety Directed Towards Academic Performance in College Students." Ashland University Honors Theses / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=auhonors1607005364655131.
Full textMarques, Daniel Ruivo. "The hyperarousal hypothesis in psychophysiological insomnia: study of default-mode network and its modification after CBT." Doctoral thesis, Universidade de Aveiro, 2016. http://hdl.handle.net/10773/16787.
Full textA insónia primária é a perturbação do comportamento de sono mais prevalente quer na população clínica quer na comunidade. Uma das formas mais comuns é a insónia psicofisiológica (IP). A hiperativação neuropsicofisiológica, afetiva, cognitiva e comportamental assim como o condicionamento mal-adaptativo entre estímulos associados ao sono e à cama com estímulos indutores de ativação são duas das características mais diferenciadoras desta patologia. Tendo por base a importância que esta perturbação assume em termos de saúde pública, levou-se a cabo 4 estudos empíricos com recurso a ressonância magnética funcional: No primeiro estudo comparou-se a ativação neurobiológica entre um grupo de doentes com IP (n=5) e um grupo de indivíduos saudáveis (n=5) emparelhado quanto ao sexo e à idade quando eram confrontados com palavras que remetiam para preocupações do passado/presente, preocupações do futuro e palavras neutras; no segundo estudo, explorou-se as diferenças na ativação referente à default-mode network (DMN) e outras resting-states nos mesmos grupos do estudo 1; no terceiro e quarto estudos, repetiram-se os mesmos procedimentos para um grupo clínico (N=2) após estes terem sido submetidos a terapia cognitivo-comportamental para a insónia (TCC-I). No geral, verificou-se que os doentes com IP exibiram um padrão generalizado de hiperativação em áreas associadas à DMN quer quando confrontados com estímulos ativadores quer em repouso; em termos de ativação nas resting-states, constatou-se que, em repouso, o grupo clínico apresentou disfunções significativas. Após TCC-I, observou-se que os indicadores disfuncionais verificados nos estudos anteriores se esbateram tendendo a aproximar-se do perfil de ativação dos indivíduos saudáveis. Os resultados obtidos reforçam assim a ideia da hiperativação na insónia ao longo das 24 horas do dia assim como do papel fundamental que a ativação cognitiva parece ter na etiopatogenia e no tratamento da insónia. Para além disso, este trabalho contribui para um melhor entendimento da neurobiologia da insónia e sugere que se podem identificar mecanismos neuronais subjacentes às modificações operadas pela TCC-I.
Primary Insomnia is the more prevalent sleep disorder both in clinical and community samples. One of the most frequent subtypes is psychophysiological insomnia (PI). The hyperarousal at different levels – biological, affective, cognitive, and behavioral – and the maladaptive conditioning between sleep-related stimuli and arousal are two major features of PI. Since this is a disorder which assumes an important role in public health, we performed 4 empirical studies recurring to fMRI: In the first study, we compared neurobiological activation between a group of PI patients (n=5) and a sex- and age-matched control group (n=5) when they were exposed to words concerning to past/present worries, future worries and neutral words; in the second study, we explored the activity of default-mode network (DMN) and other brain resting-states in the same groups as study 1; in the third and fourth studies, we repeated both experiments in a clinical group of patients with PI (N=2) after they underwent cognitive-behavioral therapy for insomnia (CBT-I). In general, it was observed that PI patients exhibited a generalized pattern of hyperarousal in several brain areas associated with DMN when they were confronted with affective stimuli and when they were resting in the fMRI scanner. In terms of activation of brain resting networks, we observed that the clinical group presented significant dysfunctions. After CBT-I, it was detected that the dysfunctional indicators observed in previous studies normalize, approaching the activation patterns typical of healthy individuals. The obtained results enhance the idea that the hyperarousal in PI is present during the 24-hours of the day; besides, the key role that cognitive arousal may be in the etiology and therapy of insomnia is also highlighted. In conclusion, this work contributes to a better understanding of neurobiology of insomnia and suggests that it might be possible to identify neural mechanisms underlying modifications accounted by CBT-I.
Кущ, Віталій Сергійович. "Метод підбору та виявлення впливів релаксуючих картин для коригування психофізіологічного стану людини." Master's thesis, КПІ ім. Ігоря Сікорського, 2020. https://ela.kpi.ua/handle/123456789/39383.
Full textThe work contains 70 pages, 25 figures, and 19 tables. 12 sources have been used. Goal: to increase the speed and efficiency of research and adjustment of the psychophysiological state of a person by developing a method of matching and detecting influences of relaxing pictures for human psychophysiological state adjustment. A review of the main provisions of research, data collection, and adjustment of the psychophysiological state of humans. The main problems of processing the collected data for the analysis, matching of relaxing pictures are described and the necessity in the development of methods for matching and detecting influences on a psychophysiological condition of relaxing pictures is defined. A method of matching relaxing pictures for correction of the psychophysiological state of a human on the basis of neural networks is offered. The application of the proposed method allows you to submit a set of parameters: color preference, birthday, favorite color, subjective feelings and get a relaxing picture for sessions to correct the psychophysiological state. A method for detecting influences on the psychophysiological state of a person is proposed, which allows, due to a flexible configuration mechanism for plotting, to build various parameters of research of the psychophysiological state of a person and identify their dependencies and influences on a person. The software of the offered methods of matching and detecting influences of relaxing pictures on a condition of the human which increases the efficiency of work of psychologists on the research of a psychophysiological condition of the person is developed. A software startup project has been developed and an analysis of potential customers and the market has been conducted, which shows that the market is still free from analogs of such a product, but needs it.
Pandey, Amare Ketsela Tesfaye and Amrit. "Empirical Evaluation of Machine Learning Algorithms based on EMG, ECG and GSR Data to Classify Emotional States." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-3673.
Full textThe thesis is focused to classify emotional states from physiological signals. Features extraction and selection of the physiological signal was done, which was used for dataset formation and then classification of those emotional states. IAPS pictures were used to elicit emotional/affective states. Experiment was conducted with 13 participants in cognition and Robotics lab using biosensors EMG, ECG and GSR at BTH University. Nine participants data were taken for further preprocessing. We observed in our thesis the classification of emotions which could be analyzed by a combination of psychophysiological signal as Model A and Model B. Since signals of subjects are different for same emotional state, the accuracy was better for single participant than all participants together. Classification of emotional states is useful for HCI and HRI to manufacture emotional intelligence robot. So, it is essential to provide best classifier algorithms which can be helpful to detect emotions for developing emotional intelligence robots. Our work contribution lies in providing best algorithms for emotion recognition for psychophysiological data and selected features. Most of the results showed that SVM performed best with classification accuracy up to 59 % for single participant and 48.05 % for all participants together. For a single dataset and single participant, we found 60.17 % accuracy from MLP but it consumed more time and memory than other algorithms during classification. The rest of the algorithms like BNT, Naive Bayes, KNN and J48 also gave competitive accuracy to SVM. We conclude that SVM algorithm for emotion recognition from a combination of EMG, ECG and GSR is capable of handling and giving better classification accuracy among others. Tally between IAPS pictures with SAM helped to remove less correlated signals and to obtain better accuracies. Still the obtained results are small in percentage. Therefore, more participants are probably needed to get a better accuracy result over the whole dataset.
amarehenry@gmail.com ; Mobile: 0767042234 amrit.pandey111@gmail.com ; Mobile : 0704763190
Freeburn, Peter D. "A Few Good Men: Narratives of Racial Discrimination Impacting Male African American/Black Officers in the United States Marine Corps." Diss., NSUWorks, 2018. https://nsuworks.nova.edu/shss_dcar_etd/95.
Full textNogueira, Pedro Gonçalo Ferreira Alves. "Emotional State Regulation in Interactive Environments: A Psychophysiological Adaptive Approach for Affect-Inductive Experiences." Tese, 2016. https://hdl.handle.net/10216/91925.
Full textBooks on the topic "Psychophysiological state"
Shannahoff-Khalsa, David. Psychophysiological states: The ultradian dynamics of mind-body interactions. London: Elsevier Academic Press, 2008.
Find full textKrivoyekov, Syergyey, and Roman Ayzman. Psychophysiology. ru: INFRA-M Academic Publishing LLC., 2015. http://dx.doi.org/10.12737/10884.
Full textMurray-Close, Dianna, Nicole L. Breslend, and Leigh Ann Holterman. Psychophysiology Indicators of Relational Aggression. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190491826.003.0009.
Full textPsychophysiological States: The Ultradian Dynamics of Mind-Body Interactions. Elsevier, 2007. http://dx.doi.org/10.1016/s0074-7742(07)x8000-0.
Full textShannahoff-Khalsa, David S. Psychophysiological States, Volume 80: The Ultradian Dynamics of Mind-Body Interactions (International Review of Neurobiology) (International Review of Neurobiology). Academic Press, 2007.
Find full textWittmann, Marc, and Karin Meissner. The embodiment of time: How interoception shapes the perception of time. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198811930.003.0004.
Full textMendenhall, Emily. Rethinking Diabetes. Cornell University Press, 2019. http://dx.doi.org/10.7591/cornell/9781501738302.001.0001.
Full textBeauchaine, Theodore P., and Sheila E. Crowell, eds. The Oxford Handbook of Emotion Dysregulation. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780190689285.001.0001.
Full textBook chapters on the topic "Psychophysiological state"
Kuzovyk, V. D., O. Bulyhina, O. Ivanets, Y. Onykiienko, P. F. Kolesnic, W. Wójcik, and D. Nuradilova. "Complex assessment of the flight crew’s psychophysiological state." In Information Technology in Medical Diagnostics II, 77–85. London, UK; Boca Raton: CRC Press/Balkema, [2019] | Selected and extended conference papers from Polish, Ukranian and Kazakh scientists.: CRC Press, 2019. http://dx.doi.org/10.1201/9780429057618-11.
Full textSakamoto, Kiyomi, Seiji Sakashita, Kuniko Yamashita, and Akira Okada. "Evaluating Emotional State during 3DTV Viewing Using Psychophysiological Measurements." In Human-Computer Interaction. Towards Intelligent and Implicit Interaction, 353–61. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39342-6_39.
Full textNogueira, Pedro A., Rui Rodrigues, and Eugénio Oliveira. "Real-Time Psychophysiological Emotional State Estimation in Digital Gameplay Scenarios." In Engineering Applications of Neural Networks, 243–52. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-41013-0_25.
Full textBasov, Oleg, Angelina Basova, and Maksim Nosov. "Human Resources Management in Conditions of Operators’ Psychophysiological State Changes." In Speech and Computer, 259–67. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11581-8_32.
Full textDanch-Wierzchowska, Marta, Marcin Bugdol, and Andrzej W. Mitas. "Psychophysiological State Changes Assesment Based on Thermal Face Image—Preliminary Results." In Advances in Intelligent Systems and Computing, 175–85. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-49666-1_14.
Full textMańka, Anna, Patrycja Romaniszyn, Monika N. Bugdol, and Andrzej W. Mitas. "Methods for Assessing the Subject’s Multidimensional Psychophysiological State in Terms of Proper Rehabilitation." In Advances in Intelligent Systems and Computing, 213–25. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-49666-1_17.
Full textHe, Changjiang, Mahdi Mahfouf, and Luis A. Torres-Salomao. "Thermal Imaging for Psychophysiological State Detection in the Human-Machine Interface (HMI) Control System." In Informatics in Control, Automation and Robotics, 214–29. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-31993-9_10.
Full textGardé, Alexandre, Pierre-Majorique Léger, Sylvain Sénécal, Marc Fredette, Shang-Lin Chen, Élise Labonté-Lemoyne, and Jean-François Ménard. "Virtual Reality: Impact of Vibro-Kinetic Technology on Immersion and Psychophysiological State in Passive Seated Vehicular Movement." In Haptics: Science, Technology, and Applications, 264–75. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-93399-3_24.
Full textKliment, R., P. Smrčka, J. Jeřábek, and M. Vítězník. "Selected Methods for Automatical Classification of Psychophysiological States in Experimentally Controlled Psychical Load." In IFMBE Proceedings, 154–56. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23508-5_41.
Full textKirk, Ryan A. "Grounded Approach for Understanding Changes in Human Emotional States in Real Time Using Psychophysiological Sensory Apparatuses." In Lecture Notes in Computer Science, 323–41. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-58628-1_26.
Full textConference papers on the topic "Psychophysiological state"
Wusk, Grace C., Andrew F. Abercromby, and Hampton C. Gabler. "Psychophysiological monitoring of aerospace crew state." In UbiComp '19: The 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3341162.3349309.
Full textZhumazhanova, Samal S., Alexey E. Sulavko, and Pavel S. Lozhnikov. "Neurobayesian Algorithm for Subject's Psychophysiological State Identification." In 2021 XV International Scientific-Technical Conference on Actual Problems Of Electronic Instrument Engineering (APEIE). IEEE, 2021. http://dx.doi.org/10.1109/apeie52976.2021.9647606.
Full textde Salis, Emmanuel, Dan Yvan Baumgartner, and Stefano Carrino. "Can we predict driver distraction without driver psychophysiological state?" In AutomotiveUI '19: 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3349263.3351514.
Full textFang, Yang, and Sun Jianwen. "Effect of Tiscrazy Aroma Concord Parfum on psychophysiological coherence state." In 2011 International Conference on Human Health and Biomedical Engineering (HHBE). IEEE, 2011. http://dx.doi.org/10.1109/hhbe.2011.6029071.
Full textSmith, Daniel M., Mohammadreza Abtahi, Amir Mohammad Amiri, and Kunal Mankodiya. "Bivariate autoregressive state-space modeling of psychophysiological time series data." In 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2016. http://dx.doi.org/10.1109/embc.2016.7591932.
Full textHarrivel, Angela R., Charles Liles, Chad L. Stephens, Kyle K. Ellis, Lance J. Prinzel, and Alan T. Pope. "Psychophysiological Sensing and State Classification for Attention Management in Commercial Aviation." In AIAA Infotech @ Aerospace. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2016. http://dx.doi.org/10.2514/6.2016-1490.
Full textSakamoto, Kiyomi, Seiji Sakashita, Kuniko Yamashita, and Akira Okada. "Relationship between TV viewers' preferences and psychophysiological measurements of emotional state." In 2013 IEEE 17th International Symposium on Consumer Electronics (ISCE). IEEE, 2013. http://dx.doi.org/10.1109/isce.2013.6570224.
Full textLitvinova, Nadezhda, and Olga Bulatova. "INFLUENCE OF MUSIC ON THE PSYCHOPHYSIOLOGICAL STATE AND ODOR ATTRACTIVENESS OF GIRLS." In XVI International interdisciplinary congress "Neuroscience for Medicine and Psychology". LLC MAKS Press, 2020. http://dx.doi.org/10.29003/m1127.sudak.ns2020-16/296-297.
Full textSerikov, V., O. At’kov, and Mikhail Rubtsov. "World ocean flight around the North Pole: Effects to pilots’ psychophysiological state." In Proceedings of the II International Scientific-Practical Conference "Psychology of Extreme Professions" (ISPCPEP 2019). Paris, France: Atlantis Press, 2019. http://dx.doi.org/10.2991/ispcpep-19.2019.44.
Full textKatamanova, Djemilya, Zera Bekirova, Tatiana Sataeva, Anastasia Rebik, Sergey Rybalko, and Dmitriy Tsapik. "CHANGES IN THE PSYCHOPHYSIOLOGICAL STATE DURING PERFORMANCE OF A VISUAL-TACTILE TASK." In XVII INTERNATIONAL INTERDISCIPLINARY CONGRESS NEUROSCIENCE FOR MEDICINE AND PSYCHOLOGY. LCC MAKS Press, 2021. http://dx.doi.org/10.29003/m2156.sudak.ns2021-17/183-184.
Full textReports on the topic "Psychophysiological state"
Osadchyi, Viacheslav V., Hanna B. Varina, Kateryna P. Osadcha, Olha V. Kovalova, Valentyna V. Voloshyna, Oleksii V. Sysoiev, and Mariya P. Shyshkina. The use of augmented reality technologies in the development of emotional intelligence of future specialists of socionomic professions under the conditions of adaptive learning. CEUR Workshop Proceedings, July 2020. http://dx.doi.org/10.31812/123456789/4633.
Full textOsadchyi, Viacheslav, Hanna Varina, Evgeniy Prokofiev, Iryna Serdiuk, and Svetlana Shevchenko. Use of AR/VR Technologies in the Development of Future Specialists' Stress Resistance: Experience of STEAM-Laboratory and Laboratory of Psychophysiological Research Cooperation. [б. в.], November 2020. http://dx.doi.org/10.31812/123456789/4455.
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