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1

Klimina, E. A., and A. N. Shikhov. "Mapping natural fire hazards in Middle Urals based on random forest model." Geodesy and Cartography 1013, no. 11 (2024): 15–24. https://doi.org/10.22389/0016-7126-2024-1013-11-15-24.

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In this study, we created the maps of natural fire hazard for Perm krai and Sverdlovsk oblast, based on the Random Forest Regressor machine learning model. It was trained with the materials on wildfires occurred in Perm krai in 2010–2022. Publicly available datasets characterizing forest cover, climate, terrain and the degree of anthropogenic impact on the territory were used as predictors. The most important among them are the distribution of pine forests, bogs (positive correlation), and elevation (negative correlation). For the territory of Perm krai, we found a good accordance of predicted hazard to observed spatial distribution of forest fires and the corresponding losses. The data for Sverdlovsk oblast were used as an independent sample, and here the same above mentioned correlation was also revealed. Over 60 % of the occasions and their area fall into the territories with high estimated fire hazard. The created maps can be used along with weather indices to improve operational forecasting of wildfires
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2

Kim, Jiu, Ju Hwan Kim, Jung-Moon Ji, et al. "Antidepressant Prescribing Patterns in Korea Based on a Common Data Model." Journal of Pharmacoepidemiology and Risk Management 17, no. 1 (2025): 72–80. https://doi.org/10.56142/perm.25.0007.

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3

Yang, Yue, Xiang Fang Li, Ke Liu Wu, Meng Lu Lin, and Jun Tai Shi. "A New Unsteady-State Model for Calculating Oil-Water Relative Permeability of Low-Permeability/Ultra-Low Permeability Reservoirs." Advanced Materials Research 616-618 (December 2012): 964–69. http://dx.doi.org/10.4028/www.scientific.net/amr.616-618.964.

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Oil and water relative permeabilities are main coefficients in describing the fluid flow in porous media; however, oil and water relative permeability for low - ultra low perm oil reservoir can not be obtained from present correlations. Based on the characteristics of oil and water flow in porous media, the model for calculating the oil and water relative permeability of low and ultra-low perm oil reservoirs, which considering effects of threshold pressure gradient and capillary pressure, has been established. Through conducting the non-steady oil and water relative permeability experiments, oil and water relative permeability curves influenced by different factors have been calculated. Results show that: the threshold pressure gradient more prominently affects the oil and water relative permeability; capillary pressure cannot influence the water relative permeability but only the oil relative permeability. Considering effects of threshold pressure gradient and capillary pressure yields the best development result, and more accordant with the flow process of oil and water in low – ultra low perm oil reservoirs.
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4

Kalinin, N. A., A. L. Vetrov, E. M. Sviyazov, and E. V. Popova. "Studying intensive convection in Perm krai using the WRF model." Russian Meteorology and Hydrology 38, no. 9 (2013): 598–604. http://dx.doi.org/10.3103/s1068373913090021.

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5

Rumyantseva, M. A., and N. V. Isaeva. "Modern epidemiological characteristic of gonococcal infection incidence manifestations." Perm Medical Journal 36, no. 4 (2019): 74–81. http://dx.doi.org/10.17816/pmj36474-81.

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Aim. To carry out the epidemiological analysis and assessment of manifestations of gonococcal infection incidence on the model of the city of Perm.
 Materials and methods. Retrospective analysis of gonococcal infection morbidity indices was implemented on the basis of the data of official statistics of Federal Budgetary Healthcare Institution Center of Hygiene and Epidemiology of Perm Krai for the years 19902016 (form 2, form 12), Territorial Board of Federal Service of State Statistics of Perm Krai (Permstat) and State Budgetary Institution of Healthcare of Perm Krai Regional Clinical Dermatovenerological Dispensary for the years 20122016. Epidemiological method includes evaluative-descriptive epidemiological methods: analysis and assessment of multiyear dynamics of gonorrhea incidence for the years 1990 to 2016, gender, age, urban structure of gonorrhea patients.
 Results. Analysis and assessment of gonococcal infection (GI) incidence manifestations in Perm and Perm Krai for the years 1990 to 2016 according to the data of official statistics permitted to detect the epidemiological characteristic features of this infection at the present stage. Among them are the following: in a multiyear dynamics a marked tendency to decrease, absence of regular cyclic fluctuations; in an annual dynamics a year-round observed epidemic level of morbidity irrespective of the periods of high and low levels, rises and falls, involvement into epidemic process as risk groups: adults aged 2130 and adolescents aged 1517, mainly males.
 Conclusions. The absence of regularly repeated fluctuations in a multiyear dynamics of morbidity shows no influence of periodically available causative agents and impossibility of epidemiologic control of GI process on gonorrhea incidence at the modern stage.
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6

Yuzhakov, Aleksey L., and Ivan S. Putilov. "Prediction of Oil and Gas Occurrence in the Southern Part of Perm Krai Based on Regional 3D Modeling." Вестник Пермского национального исследовательского политехнического университета. Геология. Нефтегазовое и горное дело 20, no. 4 (2020): 317–30. http://dx.doi.org/10.15593/2712-8008/2020.4.2.

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The territory of the southern part of Perm Krai is well studied in terms of oil and gas prospecting. About 150 oil and gas fields have been discovered there, over 7000 deep wells have been drilled, and 3D seismic surveys have been completed on the area exceeding 5000 km2. The state of exploration of the territory allows us to have an immense array of geologic information, which can be used to search and predict oil and gas occurrence in structures that remain left out or that have not been studied yet. The research area was limited by the confines of Perm Krai in the south, west, and east and by a conventional line in the north along the boundary of the completed seismic surveys. To study the territory based on the reflecting horizon surface of Perm Krai, a 3D geological model has been built within IRAPRMS software system. The model calculates a regional, a zonal and local constituents of the reflecting horizon of Perm Krai. The local constituent allowed us to single out structures divided into three categories: structures of ascertained oil and gas occurrence, structures that do not contain oil and gas (empty), and structures for which a prediction is needed. In the model, structural parameters representing a trap potential for the accumulation and retention of hydrocarbons were calculated. Moreover, geochemical parameters showing a generation potential and a migration constituent, as well as hydrogeological parameters as indirect data to determine the saturation of structures with hydrocarbons, were downloaded into the model. The obtained data about the importance of each parameter for all structures allowed us to generate a single database and predict oil and gas occurrence by the machine learning method, i.e. through the step-bystep linear discriminant analysis. Based on the results of the linear discriminant analysis, 138 predicted structures were arranged in groups in accordance with degrees of their potential. By applying the built individual probability models, a map of the regional probability of structures’ saturation with hydrocarbons was obtained; this map served as a basis and amendment of oil and gas geological zoning boundaries of the southern part of Perm Krai.
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7

Kulentsan, Anton, and Natalia Marchuk. "MODELING AND FORECASTING THE NUMBER OF UNEMPLOYED IN THE PERM REGION." Applied Mathematics and Control Sciences, no. 3 (November 10, 2021): 154–68. http://dx.doi.org/10.15593/2499-9873/2021.3.08.

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This article is devoted to the study of changes in the main indicators of the level of the unemployed population. The dynamics of the officially registered number of unemployed aged 15–72 years is analyzed. The relevance of this work was that the problem of unemployment is a very important problem in our society. Without solving the problem of unemployment, it is impossible to find solutions to improve not only the economic, but also the moral, moral and spiritual situation in Russia. The purpose of this work was to build a forecast model for the development of the number of unemployed in the Perm Region. It is shown that there was a good correlation between the wages of employees, the number of the population, the growth of high-performance jobs, the cost of a fixed set of consumer goods and services, the age composition of the population older than the able-bodied, the migration growth of the population and the growth rate of the number of unemployed in the Perm Region. The analysis made it possible to construct a linear multivariate model and a model in the state space. It is shown that these models cannot be used to predict the number of unemployed, due to poor predictive properties (the sum of the squares of deviations for a linear multivariate model in this case is 0.295, for a model in the state space – 2.354). At the same time, a regression-differential model of the change in the number of unemployed aged 15–72 years in the Perm Region was built. The obtained data showed that for this model, the sum of the squared deviations is 0.091. This suggests that the regression-differential model best describes the number of unemployed people aged 15–72 years in the Perm Region. Based on the obtained model, a forecast of the distribution of the number of unemployed in the region under consideration for 2021 and 2022 was made. The results obtained indicate that there will be a positive trend in reducing the number of unemployed. Over 7 years, it will decrease by 21.8 %.
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8

Zhang, Jianting, Ruifei Wang, Ailin Jia, and Naichao Feng. "Optimization and Application of XGBoost Logging Prediction Model for Porosity and Permeability Based on K-means Method." Applied Sciences 14, no. 10 (2024): 3956. http://dx.doi.org/10.3390/app14103956.

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The prediction and distribution of reservoir porosity and permeability are of paramount importance for the exploration and development of regional oil and gas resources. In order to optimize the prediction methods of porosity and permeability and better guide gas field development, it is necessary to identify the most effective approaches. Therefore, based on the extreme gradient boosting (XGBoost) algorithm, laboratory test data of the porosity and permeability of cores from the southern margin of the Ordos Basin were selected as the target labels, conventional logging curves were used as the input feature variables, and the mean absolute error (MAE) and the coefficient of determination (R2) were used as the evaluation indicators. Following the selection of the optimal feature variables and optimization of the hyper-parameters, an XGBoost porosity and permeability prediction model was established. Subsequently, the innovative application of homogeneous clustering (K-means) data preprocessing was applied to enhance the XGBoost model’s performance. The results show that logarithmically preprocessed (LOG(PERM)) target labels enhanced the performance of the XGBoost permeability prediction model, with an increase of 0.26 in its test set R2. Furthermore, the application of K-means improved the performance of the XGBoost prediction model, with an increase of 0.15 in the R2 of the model and a decrease of 0.017 in the MAE. Finally, the POR_0/POR_1 grouped porosity model was selected as the final predictive model for porosity in the study area, and the Arctan(PERM)_0/Arctan(PER0M)_1 grouped model was selected as the final predictive model for permeability, which has better prediction accuracy than logging curves. The combination of K-means and the XGBoost modeling method provides a new approach and reference for the efficient and relatively accurate evaluation of porosity and permeability in the study area.
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9

Chen, Mao. "An Improved PERM Method for Protein Folding Problem of HP Model." Journal of Computer Research and Development 44, no. 9 (2007): 1456. http://dx.doi.org/10.1360/crad20070902.

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10

Fedoseeva, Svetlana Sergeevna, Irina Gennad'evna Ionova, and Dmitriy Arkadievich Balandin. "Spatial development of regional monotowns in conditions of modern economic uncertainty." Vestnik of Astrakhan State Technical University. Series: Economics 2023, no. 2 (2023): 23–33. http://dx.doi.org/10.24143/2073-5537-2023-2-23-33.

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The article considers the main problems of spatial development of single-industry towns of the Russian Federation. The determining influence of modern economic uncertainty conditions on the interrelated processes of economic activity of single-industry enterprises and socio-economic development of single-industry municipalities has been established. The necessity to improve the management process in the sphere of ensuring the development of single-industry towns at the regional level has been proved. The creation of the Regional Monocities Development Fund is proposed. On the case of Perm Krai the key tasks and activities of regional funds for the development of single-industry towns are defined. The main provisions and concepts laid down in the basis of the activities of the formed Fund for the management of development of monocities in the Perm region have been defined. Organizational model for improving the management system of development of single-industry towns in the region has been developed, which allowed to graphically present the management system of the region, defining a new stage of economic monocities of Perm Krai in conditions of modern economic uncertainty. The distinction of the proposed model is the inclusion of procedures for decomposition of the factors of modern economic uncertainty and deformation of economic activities of single-industry towns, as well as feedback, which allows to promptly correct managerial actions to overcome the newly emerging problems. Three scenarios of development of Alexandrovsky, Ochersky and Chusovsky monotowns of Perm Krai using sectoral coefficients-deflators of spatial development of the Russian Federation for the period 2021-2025 and analytical comprehension of trends and indicators with the decomposition of factors of modern economic uncertainty are considered. The results obtained in the course of this work may be in demand and are recommended for use in the regional and municipal government of the Perm region, in the process of improving the management of development of single-industry towns.
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11

Bronnikov, V. A., M. I. Grigoreva, N. G. Vaytulevichyus, and V. Yu Serebryakova. "Early Intervention as a Part of Support System for Children with ASD and Their Families in Perm Region." Autism and Developmental Disorders 20, no. 1 (2022): 20–28. http://dx.doi.org/10.17759/autdd.2022200103.

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The number of children with autism spectrum disorders (ASD) and other mental disorders is increasing in the Perm Region. Currently, services for children with ASD are provided by organizations and institutions of the health, edu- cation and social services system; non-profit organizations provide support to families. The need for the development of a system of integrated support of individuals with ASD becomes more and more urgent. Technology of providing early comprehensive intervention to children with ASD and their families in the State Budgetary Institution of the Perm Region «Center for Complex Rehabilitation of Individuals with Disabiilties» is designed as a 6-month course, which includes ADOS differential diagnostic tool, M-CHAT screening test, Early Start Denver Model. Early in- tervention is seen as an essential first step in the comprehensive support to children with ASD. Further steps of the development of complex support system to children with ASD and their families in Perm Krai on the basis of creation of system of interdepartmental interaction are presented.
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12

Chuchulina, E. V. "Model of Economic Integration of the University in the World Educational Space." E3S Web of Conferences 220 (2020): 01092. http://dx.doi.org/10.1051/e3sconf/202022001092.

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The development of the modern economy of the 21st century and the sustainable development of cities are inextricably linked. The modern economy is a continuous process of economic integration of all subjects of economic life of society. The participation of universities in the development of cities plays a huge role. Economic integration is a factor of improvement of quality and competitiveness of the university on the world educational field. The article substantiates the importance of economic integration in the structure of the university strategy. A model of economic integration of the University was developed, also the KIU indicator of the author’s methodology which was made for assessing the level of economic integration of the University, which are universal and adaptive. The methodology has been tested on the example of the Perm State National Research University (PSNRU). We conducted a correlation analysis, which showed the dependence of the level of GRP and KIU on the example of PSNRU and Perm Krai. The directly proportional relationship of the studied indicators has been proven. The authors made detailed conclusions and recommendations on the application of the model and methodology.
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13

Rybalko, Natalia. "Petitions of the Perm People in 1605–1608 as a Source on the History of the Central and Local Government of the Moscow State (By the Materials of the Solikamsk Archive)." Vestnik Volgogradskogo gosudarstvennogo universiteta. Serija 4. Istorija. Regionovedenie. Mezhdunarodnye otnoshenija, no. 5 (December 2022): 68–83. http://dx.doi.org/10.15688/jvolsu4.2022.5.5.

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Introduction. The article examines the issues of the functioning of central and local government in the Muscovite state at the beginning of the 17th century, mainly during the reign of V.I. Shuisky. The study was carried out on the example of Great Perm – a region that was remote from the main military events of the Time of Troubles and had a developed system of zemstvo self-government. Methods and materials. It is based on 44 petitions of Perm. Information about them was reconstructed by the method of mutual correspondence of documents according to references in other documents of office work of the Perm order hut. This is fund No. 122 “Acts of Solikamsk” of the Archives of the Saint Petersburg Institute of History of the Russian Academy of Sciences. Analysis. The petitions are divided into 3 groups according to their origin: laymen, officials and private individuals. Each document is given titles according to their self-designations and content. These are notification, claim, дж petitions. The circumstances of the cases in which the petitions were filed are revealed, authorship is established (on whose behalf the document came), as well as the outcome of the cases. Results. The authors of the petitions were people from different social groups: peasants, townspeople, zemstvo elders and kissers, customs deacons, yasak voguls, coachmen, merchants, priests, Cossacks or residents of Perm without indicating social status. 29 petitions were submitted to Moscow in the Nizhny Novgorod and Novgorod chetvertnoy prikaz, 15 were considered in Great Perm. For most issues, the petitioner first received a decree in Moscow, and then brought a ready-made solution for execution to Great Perm. Zemsky worlds participated in the investigation of robberies, thefts and interpersonal conflicts, but as a result, the clerks had to write a formal reply to Moscow. Thus, at the beginning of the 17th century, the Muscovite state sought to implement a model of strict centralization of power through control by the prikazes of Moscow.
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14

Aleksandrova, T. V., and V. L. Popov. "Analysis of the Experience of Perm Region on Personnel Training for Enterprises-Participants of the National Project «Labor Productivity and Employment Support»." Vestnik NSUEM, no. 1 (April 2, 2020): 175–89. http://dx.doi.org/10.34020/2073-6495-2020-1-175-189.

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The article is devoted to the study of the peculiarities of training staff of enterprises participating in the implementation of the national project «Labor Productivity and Employment Support» in the Perm region.The study uses the methodology of system analysis, methods of analysis of statistical information and expert data. The study formed a model of advanced staff training, tested at the enterprises participating in the national project «Labor Productivity and Employment Support» in the Perm region, and identified the problems affecting the effectiveness of the development of new knowledge and competences of workers in the field of productivity improvement.As a result of the study,recommendations are made to supplement the regional project of increasing productivity in the Perm region with measures aimed at introducing an additional module of management training, to improve the level of the coordinating the company’s activities and developing the organizational culture of the staff.The results of the study can be used to develop programs and training plans for staff of enterprises implementing the national project «Labor Productivity and Employment Support» in the regions of the Russian Federation.
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15

Kopoteva, A. V., A. A. Maksimov, and N. A. Sirotina. "Perm Region Natural Resource Potential Forecasting Using Machine Learning Models." Bulletin of the South Ural State University. Ser. Computer Technologies, Automatic Control & Radioelectronics 21, no. 4 (2021): 126–36. http://dx.doi.org/10.14529/ctcr210411.

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In the article we consider a complex indicator of region natural resource potential modeling and forecasting quality improvement using different machine learning models. Problem under consideration importance is determined by the fact that the models traditionally used for these purposes demonstrate either low quality, or high configuration and parameters evaluation difficulty. The aim of the study is determination of machine learning models that provide the optimal values of various modeling quality metrics. Materials and methods. For this study purposes we considered the multiple linear regression, decision tree, random forest, gradient boosting and multilayer perceptron mo¬dels. We used the determination coefficient R2, the root mean square error of modeling RMSE, the average absolute error of modeling MAE, and the relative error of prediction for 1 and 2 time intervals as quality metrics. This study is based on data of the complex indicator of the Perm Region natural resource potential and the system of its determining factors in the time interval from 2001 to 2018. We evaluate models and calculate quality metrics using Pandas and Scikit-learn Python libraries in Jupiter Notebook environment. Results. According to our research the classical multiple linear regression model demonstrates the worst results for all quality metrics under consideration. The decision tree model demonstrates determination coefficient maximum value and minimum root mean square error and mean absolute error. Minimum relative forecasting error for 2017 is provided by the gradient boosting model, for 2018 – by the multilayer perceptron model. Conclusion. Our study allows us to affirm that nonlinear machine learning models for the task of region natural resource potential modeling and forecasting demonstrate better approximating and predictive properties compared to multiple linear regression and thus can be used to improve the quality of natural resource management.
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16

Bronnikov, Vladimir Anatol'evich, Milana Igorevna Grigor'eva, and Valeriya Yur'evna Serebryakova. "DEVELOPMENT OF A THREE-LEVEL MODEL OF EARLY REHABILITATION IN PERM KRAY." Special education, no. 4 (2019): 130–45. http://dx.doi.org/10.26170/sp19-04-11.

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17

Zvereva, Julia V. "REFLECTION OF THE SPATIAL MODEL «TOP/ BOTTOM»IN THE PERM REGION MICROTOPONYMY." PHILOLOGICAL STUDIES 17, no. 2 (2019): 123–36. http://dx.doi.org/10.17072/1857-6060-2019-17-2-123-136.

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18

Rudin, V., Ju Kabirova, and N. Sulimova. "The Role of Multidisciplinary Team Training in Teaching Emergency Skills for Healthcare Workers in Atypical Conditions." Virtual Technologies in Medicine 1, no. 4 (2021): 214–17. http://dx.doi.org/10.46594/2687-0037_2021_4_1402.

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The experience of conducting multidisciplinary training on the basis of the Multidisciplinary Accreditation and Simulation Center of the Perm State Medical University named after academician E.A. Wagner for employees of perinatal centers and maternity hospitals in the Perm Territory. Teamwork in the provision of emergency care is a priority in the training of doctors of various specialties. The developed model of multidisciplinary training in atypical working conditions allows not only to identify and improve the technical skills necessary for employees of prenatal centers in the development of emergency conditions, but also allows to consolidate such non-technical skills as working communication of doctors of various specialties and teamwork in providing emergency care to patients.
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19

Zakharkina, A. V., and O. A. Kuznetsova. "ANALYSIS OF THE PERM REGIONAL REGULATORY PLATFORM FOR SUPPORTING SMALL AND MEDIUM-SIZED BUSINESSES IN THE CONTEXT OF THE NEW CORONAVIRUS PANDEMIC (COVID-19)." Ex jure, no. 1 (2021): 100–113. http://dx.doi.org/10.17072/2619-0648-2021-1-100-113.

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Abstract: the article is devoted to the scientific and practical analysis of Perm regional measures to support SMEs in the context of the spread of a new coronavirus infection (COVID-19). The article provides a brief overview of the “affected” sectors of the economy by COVID-19, lists Federal and regional measures to support SMEs, analyzes the legal acts of the Perm region in this area, and assesses them. It is concluded that a number of regional norms are ineffective and that it is necessary to find new mechanisms to support SMEs. At the end of the study, the American model of support for SMEs in the context of the spread of a new coronavirus infection is presented.
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20

Molganova, Natalia A., and Sergey A. Ovesnov. "Salix alba, S. euxina and S. × fragilis (Salicaceae) in the conditions of the Perm Region." Вестник Пермского университета. Серия «Биология»=Bulletin of Perm University. Biology, no. 4 (2024): 374–79. https://doi.org/10.17072/1994-9952-2024-3-274-379.

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The study is devoted to morphological parameters of the leaves of Salix alba, S. euxina and S. × fragilis. Salix alba samples for the study were selected in the herbarium of the Perm State University (Perm) and signed by I.V. Belyaeva in order to avoid the possible inclusion of hybrid plants. Shoots from cultivated plants of S. euxina and S. × fragilis were collected in August 2024 in Perm. Model shoots were selected from the illuminated part of the crown. All fully developed, more or less symmetrical leaves from the central part of the current year's growth are measured on them. The length and width of the leaf blade leaves were measured using CorelDRAW 2019. The blade shape coefficient was calculated as the ratio of its length to width, the distance from the base of the leaf blade to its widest part, the length of the petiole, and the angle of the apex of the leaf blade was determined. Statistical data processing was performed using PAST 4.13. It was found that the shapes of leaf blades in the studied species have quite definite differences that allow us to fairly confidently differentiate closely related taxa
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21

VETROV, A. L., and S. V. KOSTAREV. "APPLICABILITY OF MULTIMODEL ENSEMBLE PREDICTION OF HEAVY PRECIPITATION FOR THE PERM REGION: A CASE STUDY FOR THE SUMMER OF 2019." Meteorologiya i Gidrologiya, no. 7 (2021): 35–49. http://dx.doi.org/10.52002/0130-2906-2021-7-35-49.

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The multimodel ensemble technique for predicting heavy rain ( 15 mm/12 hours) in the Perm region with a lead time of 15 and 27 hours is analyzed. The quality of precipitation forecasts from GFS, GEM, ICON global hydrodynamic models and from the WRF-ARW model with 3 and 9-km grid spacing is assessed. For the summer of 2019, the GEM was found to provide the highest quality of heavy rain forecasts. The averaging over the ensemble of global models causes a sharp decrease in the number of false alarms and in the probability of detection. The scheme of global models combination consisting in the filtration of the GEM heavy rain forecasts and in the averaging of GFS, GEM, and ICON forecasts at the remaining points is developed. Application of the proposed scheme increases the reliability of short-range forecasts of heavy frontal rains in summer in the Perm region as compared to any separate model.
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Tsatsulin, Alexander N., and Boris A. Tsatsulin. "Scenario Modeling in Health System Management Perm Region (Part 2)." Administrative consulting, no. 3 (147) (June 7, 2021): 98–109. https://doi.org/10.22394/1726-1139-2021-3-98-109.

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In continuation of the article, the authors of the study devoted to the problems of scenario modeling and solving specific problems of management and development of the health care system of the Perm Territory, built the author’s dynamic multivariate model, which was based on an authoritative approach and consists of a set of five structural simultaneous equations.As a result, each equation of the system is a linear form of recursive regression, where the independent variable as a factor-factor taken into account in one equation becomes a dependent variable as an effective factor-factor. In order to eliminate the phenomenon of autocorrelation of residual values, the method of time lagging was used. To estimate the parameters of the reduced form of structural simultaneous equations, the two-step least squares method was used as a special case of the maximum likelihood method. The obtained parameter estimates on the whole turned out to be effective with moderate consistency and satisfactory bias. The constructed model made it possible to carry out a short-term forecast of the most important target socio-economic indicator of the success of healthcare development in theregion until 2023. The authors considered the national goal as such a priority indicator — the expected (future) life expectancy of the population of the study area. At the end of the article, conclusions were drawn and the prospects for further scientific research of the authors were outlined.
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23

Markiewitz, Daniel M., J. Pedro de Souza, Aleksandr Noy, and Martin Z. Bazant. "Electroneutrality Breakdown and Perm-Selective End Groups in Carbon Nanotube Porins." ECS Meeting Abstracts MA2023-01, no. 10 (2023): 1203. http://dx.doi.org/10.1149/ma2023-01101203mtgabs.

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Sub-nanometer carbon nanotube porins (n-CNTP) have been shown to achieve high water permeation with significant permselectivity precluding anion transport. Therefore, n-CNTPs are useful model systems to probe and optimize the nanoscale transport phenomena relevant for selective ionic separations. Surprisingly, these n-CNTPs demonstrate a unique conductance scaling behavior with ionic concentration, which has led to various continuum models being constructed in pursuit of determining the underpinning physics governing nanoscale ionic transport. Here, we formulate a continuum model to capture the conductance and permselectivity of n-CTNPs considering the breakdown of electroneutrality within the pore. Electroneutrality breakdown occurs when the ionic charge within the pore is not balanced by the charge on the pore walls. While electroneutrality is commonly assumed in the analysis of nanopore transport, we predict a departure from electroneutrality due to the extreme one-dimensional confinement in n-CNTPs, strongly influencing the conductance and selectivity of the pore. Furthermore, our analysis demonstrates the importance of the entrance groups in modulating ion transport through n-CNTPs. Lastly, we provide a framework for future refinements to incorporate additional microscopic physics into the phenomenological model.
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24

Grima, Simon, and Pierpaolo Marano. "Designing a Model for Testing the Effectiveness of a Regulation: The Case of DORA for Insurance Undertakings." Risks 9, no. 11 (2021): 206. http://dx.doi.org/10.3390/risks9110206.

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Technology is sometimes seen as a disruption that although provides opportunities for growth and development, also provides opportunities for deception, theft, and fraud. On the other hand, automation can make it easier to identify and protect from threats. Hence, a proposal was made by the European Commission to enact a digital operations resilience act. Therefore, our objective in this paper is to lay out the perceived characteristics of effective regulation by using DORA as our case study. We do this by carrying out a literature review and extracting using the thematic analysis approach propositions for these characteristics. Then, we test these using exploratory factor analysis and design a model for perceived effective regulation (PERM). We test the reliability and validity of this model by using the Cronbach alpha. Results show that according to our model, an effective regulation should have four characteristics, specifically “Flexibility and Integration”, “Proportionality and Cost”, “Reliability and Transparency”, and “Relevance and Timeliness”. Findings laid out in this paper and PERM can be used to test other proposed regulations to ensure that they are effective before being enacted and also to determine when there is a need for a revamp in specified areas of current regulations and requirements.
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Kalinin, N. A., B. A. Sivkov, and A. V. Dmitriev. "FORMATION CONDITIONS OF WARM-SEASON STORM RAINFALL IN PERM REGION." Bulletin of Udmurt University. Series Biology. Earth Sciences 30, no. 3 (2020): 295–306. http://dx.doi.org/10.35634/2412-9518-2020-30-3-295-306.

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The article deals with the issue of the formation conditions and possibility of predicting storm rainfall in the territory of Perm region using atmospheric instability indices. In the course of the study, the spatial and temporal distribution of storm rainfall cases was assessed, as well as the most favorable values of meteorological parameters and synoptic situations contributing to rainfall were determined. The instability indices were calculated based on the ERA-Interim reanalysis of the spectral model of the European Center for Medium-Range Weather Forecasts (ECMWF) and the reanalysis of the American hydrodynamic model Climate Forecast System (CFS). On the basis of correlation analysis, the dependence of instability indices on the amount and average intensity of storm rainfall was estimated. The critical values of the considered instability indices were determined and corrected in relation to the studied territory. The study showed that the most frequent storm rainfall is observed in June and July in the afternoon and evening. It was found that storm rainfall is mainly associated with the passage of cold fronts. The assessment of the quality of instability indices has shown the feasibility of their use for the forecast and diagnosis of storm precipitation, including in the gradation of this dangerous phenomenon.
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Tsatsulin, A. N., and B. A. Tsatsulin. "Scenario Modeling in Health System Management Perm Region (Part 2)." Administrative Consulting, no. 3 (May 23, 2021): 98–109. http://dx.doi.org/10.22394/1726-1139-2021-3-98-109.

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In continuation of the article, the authors of the study devoted to the problems of scenario modeling and solving specific problems of management and development of the health care system of the Perm Territory, built the author’s dynamic multivariate model, which was based on an authoritative approach and consists of a set of five structural simultaneous equations. As a result, each equation of the system is a linear form of recursive regression, where the independent variable as a factor-factor taken into account in one equation becomes a depend- ent variable as an effective factor-factor. In order to eliminate the phenomenon of autocor- relation of residual values, the method of time lagging was used. To estimate the parameters of the reduced form of structural simultaneous equations, the two-step least squares method was used as a special case of the maximum likelihood method. The obtained parameter esti- mates on the whole turned out to be effective with moderate consistency and satisfactory bias. The constructed model made it possible to carry out a short-term forecast of the most important target socio-economic indicator of the success of healthcare development in the region until 2023. The authors considered the national goal as such a priority indicator — the expected (future) life expectancy of the population of the study area. At the end of the article, conclusions were drawn and the prospects for further scientific research of the authors were outlined.
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Oborin, Matvey. "Strategic Planning of Recreational and Tourism Sector Development of Perm Krai in Conditions of Restrictions." Regionalnaya ekonomika. Yug Rossii, no. 1 (April 2022): 137–46. http://dx.doi.org/10.15688/re.volsu.2022.1.13.

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Development of the tourist and recreational sphere of the country’s regions is one of the points of economic recovery in the post-pandemic period, the importance of which is increasing in terms of stimulating domestic tourism in the country. Perm Krai has the necessary potential to increase its competitive advantages as a center of tourist and recreational services among the regions of the Volga Federal District, since it is consistently among the top three regions in terms of financial and economic indicators of sanatorium treatment. According to expert estimates, this direction will recover at more quickly accompanied by state support measures. However, with the continuing risks of restrictions the need for strategic planning of this activity increases significantly. The article presents the competitive advantages of tourist and recreational industry of Perm Krai. The study used general logical research methods, system and situational approaches, simulation of economic processes. The analysis of the problems of tourism development of Perm Krai is carried out, the limitations and promising directions of its further growth are determined. A model of tasks and solutions for the development of promising tourist territories is presented, which allows to situationally assess the state of tourism in the region, the dynamics and results of its development, as well as make changes to market regulation, if necessary. Further development of scientific research in this area should be associated with the adjustment of existing tools and mechanisms at the regional level to situational problems of the functioning of tourist and recreational industry of Perm Krai. The formation of a cluster framework of territories should be organically combined with support measures in conditions of restrictions, which may subsidies and compensation for labor costs, preferential loans, tax holidays.
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Rassykhaev, Alexey Nikolaevich. "HONORING STEPHEN OF PERM IN FOLK TRADITION OF THE NIVSHERA’S KOMI." Yearbook of Finno-Ugric Studies 15, no. 2 (2021): 272–83. http://dx.doi.org/10.35634/2224-9443-2021-15-2-272-283.

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The article analyzes the local version of veneration of St. Stephen of Perm among the Nivshera’s Komi. The microlocal folklore tradition of the village Nischera (Komi Republic) is geographically far from the place of residence of the first bishop of Perm and the main area (Lower Vychegda and Vym) of the spread of traditions about a religious saint, who was called the “Zyryansky Apostle”. Meanwhile, the chapel (now lost) in honor of the saint and the saved life icon in the small village Rusanovskaya helped preserve the memory of a religious figure in popular culture. The post-temple life of the icon is amazing: relatives of the shrines who saved from death made a vow to hold home services. According to the established model in the Nivshera tradition off-temple services began to be held also before the reproduction of the icon Stefan Perm. The work attempted to compare scenarios and strategies for conducting home worship in two places. To some extent, the future of such practices will depend not only on the capabilities of the guardians of the icon and the presence of successors of this matter, but also on the socio-cultural situation of the village and interaction with the Orthodox Church. To some extent, the future of such practices will depend not only on the capabilities of the guardians of the icon and the presence of successors of this matter, but also on the socio-cultural situation of the village and interaction with the Orthodox Church. The cult veneration of Stefan Perm in the Nivshera folklore tradition is evidenced by recorded oral stories about a saint who visited the Vishera District, climbing a boat along the river, expelled rats for a long time, saved the village from fire, and provides general patronage to the village Rusanovskaya.
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Kostarev, S. N., R. A. Fayzrakhmanov, N. А. Tatarnikova, O. V. Novikova, and T. G. Sereda. "System Analysis and Mathematical Modeling of Infection Safety Human Caused by COVID-19 Coronavirus Strains." Proceedings of the Southwest State University. Series: IT Management, Computer Science, Computer Engineering. Medical Equipment Engineering 13, no. 2 (2023): 76–94. http://dx.doi.org/10.21869/2223-1536-2023-13-2-76-94.

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The purpose of research is to develop models characterizing the "Cell–Virus–Habitat" system. Methods. The ability of coronaviruses to exit the cell without its apoptosis is an important factor providing the possibility of moderate infection. A description of the complete 2019-nCoV gene can be found in the GenBank Virus Genome bank: MN908947.3. Currently, information about the epidemiology, clinical features, prevention and treatment of this disease is being studied by scientists all over the world. Theoretical approaches in the study were based on the theory of virology, system analysis, differential integral calculus and probability theory. The materials were immunogram indicators for the period 2020-2021. According to studies of the effect of coronavirus infection on residents of the Perm Region. Data on the activity of the coronavirus and the number of sick residents were taken from open sources. Data on the number of residents living in the Perm Region were taken from the population census. The structure of the SARS-CoV-2 genome is reflected in the GenBank data-base: MN908947.3. The SARS-CoV-2 mutation tracker was studied by the repository: https://users.math.msu.edu/users/weig/SARS-CoV-2 Mutation Tracker.html . Results: the "Cell–Virus–Habitat" model was developed and investigated; a system of differential empirical equations characterizing changes in immunogram parameters among underage and child-aged residents of the Perm Region was constructed and investigated; a system of Kolmogorov equations describing the dynamics of the pandemic in the Perm Region was constructed and investigated. Conclusion. One of the consequences of a new coronavirus infection may be a change in the immune system of the human population. A detailed analysis of the immunological status of various racial groups, different ages and gender characteristics under the influence of a new coronavirus infection is currently poorly understood.
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Shutkin, Alexei S., Konstantin G. Schwartz, Vladimir A. Shklyaev, and Larisa V. Novoselova. "MATHEMATICAL MODELING OF THE SPREAD OF ACER NEGUNDO SEEDS IN THE URBAN ENVIRONMENT." Географический вестник = Geographical bulletin, no. 4(67) (2023): 137–46. http://dx.doi.org/10.17072/2079-7877-2023-4-137-146.

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Acer negundo is an invasive species. It is a serious problem for natural, protected, and other green areas of the cityof Perm. In some areas of small river valleys, it constitutes up to 80% of woody plants, and in public green areas ˗ up to 30%. Inrecent decades, the expansion of Acer negundo has been increasing. Its invasion threatens biodiversity, hinders natural regeneration of other plant species, and deteriorates the appearance of landscaped areas. The rate of distribution of Acer negundo exceeds the possibilities of visual surveys. Thus, the results of such surveys do not provide a reliable picture of the current distribution of the invasive plants and of the potential for their distribution. Our research work aimed to determine the distribution range of Acer negundo seeds by means of modeling. Based on a study of the distribution of Acer negundo in the city of Perm, the range of wind scattering of its seeds was identified. In the valley of the upper reaches of the Uinka River in the Motovilikhinsky District of Perm, the average weight of Acer negundo seeds, the number of seeds per tree, and the seed settling rate were determined. The tree was considered as a point source, for which the rate of discharge of seed quantity was determined, which was estimated as the source power. Further, by mathematical modeling based on Gaussian flare model, the seed dispersal range of the invasive plant was determined and seed flux fields to the soil surface were obtained. All calculations were performed for different conditions of atmospheric stratification and at fixed wind direction. The wind speed was estimated as the highest, with a probability of 5%.It was found that the greatest seed flight distance corresponded to weak and moderately stable stratification of the atmosphere. The distance to the zone of maximum seed deposition was from 35 to 107 m with a wind speed of 7 m/s.These data were prepared for developing a municipal program of phased replacement of Acer negundo in different types of green areas of the city of Perm on the basis of the regional law ‘On Green Areas of the Perm Region’.
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Goryunov, D. V. "Socio-cultural adaptation of new religious organizations." Voprosy kul'turologii (Issues of Cultural Studies), no. 5 (April 20, 2021): 387–92. http://dx.doi.org/10.33920/nik-01-2105-01.

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The paper deals with the problem of socio-cultural adaptation of new religious organizations in a local object — in the Perm region. The highlighted aspect of this problem is the missionary activity of these religious organizations in the context of inter-confessional relations. A model of creative humanitarian interaction of new religious organizations with the public and authorities is proposed.
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Li, Yue‐Ren, Yi‐Fan Li, John Struger, Bing Chen, and Gordon H. Huang. "Pesticide Runoff Model (PeRM): A Case Study for the Kintore Creek Watershed, Ontario, Canada." Journal of Environmental Science and Health, Part B 38, no. 3 (2003): 257–73. http://dx.doi.org/10.1081/pfc-120019893.

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Estrada-Flores, J. G., M. González-Ronquillo, F. L. Mould, C. M. Arriaga-Jordán, and O. A. Castelán-Ortega. "Chemical composition and fermentation characteristics of grain and different parts of the stover from maize land races harvested at different growing periods in two zones of central Mexico." Animal Science 82, no. 6 (2006): 845–52. http://dx.doi.org/10.1017/asc2006094.

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AbstractThe objective of this work was to determine the rumen fermentation characteristics of maize land races used as forage in central Mexico. In vitro gas production (ml per 200 mg dry matter (DM)) incubations were carried out, and cumulative gas volumes were fitted to the Krishnamoorthyet al.(1991) model. The trial used a split-plot design with cultivation practices associated with maize colour (COL) as the main plot with three levels: white, yellow and black maize; growing periods (PER) were the split plots where PER1, PER2 and PER3 represented the first, second and third periods, respectively and two contrasting zones (Z1=valley and Z2=mountain) were used as blocking factors. The principal effects observed were associated with the maturity of the plants and potential gas production increased (P<0·05) in stems (PER1=51·8, PER2=56·3, PER3=58·4 ml per 200 mg DM) and in whole plant (PER1=60·9, PER2=60·8, PER3=70·9 ml per 200 mg DM). An inverse effect was observed with fermentation rates in leaves (P<0·01) with 0·061, 0·053 and 0·0509 (per h) and in whole plant (P<0·05) with 0·068, 0·057, 0·050 (per h) in PER1, PER2 and PER3 respectively. The digestibility of the neutral-detergent fibre (NDF) decreased with maturity especially in leaves (P<0·05) with values of 0·71, 0·67 and 0·66 g/kg; in rachis (P<0·01) 0·75, 0·72, and 0·65 in PER1, PER2 and PER3 respectively. The NDF content in leaves in leaves (668, 705 and 713 g/kg DM for PER1, PER2 and PER3, respectively), stems (580, 594 and 644 g/kg DM) and, husk (663, 774 and, 808 g/kg DM) increased (P<0·05) with increasing plant maturity, rachis were significantly different between periods (P<0·01). The structure with the best nutritive characteristics was the husk, because it had the lowest fibre contents, especially in acid-detergent lignin, with values of 22·6, 28·6 and 37·6 g/kg DM in PER1, PER2 and PER3, respectively.
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Granova, Mariia A. "General Designations of Weeds in Russian Dialects of the Perm Region: A Motivational Aspect (based on dialect dictionaries)." Вестник Пермского университета. Российская и зарубежная филология 16, no. 3 (2024): 15–23. http://dx.doi.org/10.17072/2073-6681-2024-3-15-23.

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The article examines lexical units being general designations of weeds in Russian dialects of the Perm region. Data from dialect dictionaries of the region were used as research material. The aim was to study the motivational semantics of these lexemes. In the course of research, the motivational characteristics underlying the general names of weeds were identified, motivational models according to which these lexemes are formed were constructed, the general principles of designating weeds in Perm dialects were determined. It has been proven that phytonyms in Perm dialects can have multiple motivations. The study explores the ideas of Russian residents of the region about weeds reflected in dialect phytonyms. The main one is the idea of the uselessness of weeds on the farm (pustaya trava, sornyak, sornaya trava, sor, khlam, dudora, shelobon', batarma, chashcha, durnina, durnotrav'e, durnyak, durman; in this case the semantics often develops according to the model ‘waste, garbage, trash, rubbish’ → ‘weeds’; this is the most frequent semantic-motivational model in the considered group of vocabulary); designations reflecting objective characteristics of plants (features of the structure of the stem and leaves (dubinnik, batozh'e, dudka), properties of weeds (deryuga, deryaga, deryazhka, lipuchaya trava, suvolotka, suvoloka)) are less frequent in the study area and are of a concrete nature (trail along the ground, stick to other objects, etc.); in a single case, the name of a weed reflected ideas about the quality of a person leading to its appearance (bab'ya len', which can be roughly translated as a woman’s laziness; with this method of naming, not only the plants themselves but also this personal quality, through association with the plants, receive a negative cultural assessment). The obtained conclusions testify in favor of the anthropocentric, evaluative, concrete-sensual nature of the dialect speakers’ worldview.
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Ворончихина, Е. Н. "Approaches to estimating the volume of the digital economy and its modeling on the example of the Perm region." Международные научные исследования, no. 1-2(42-43) (July 16, 2020): 18–23. http://dx.doi.org/10.34925/mni.2020.42.1.004.

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В данной статьей предпринята попытка определить границы и выявить составля ющие элементы цифровой экономики Пермского края с последующей ее оценкой для региона. Построе ны и верифицированы эконометрические модели роста показателей цифровой экономики на основе выделения факторов цифровой трансформации экономики Пермского края. Методология проведения исследования состоит в построении и верификации многоуровневой модели множественной регрес сии, отражающей факторы влияния цифровой экономики на основные показатели социально экономического развития региона. The research attempts to define the boundaries and identify the components of the digital econ omy of the Perm region, followed by its assessment for the region. Econometric models of growth of digital econ omy indicators were constructed and verified based on the identification of factors of digital transformation of the economy of the Perm region. The research methodology consists in building and verifying a multi-level model of multiple regression that reflects the factors of influence of the digital economy on the main indicators of socio economic development of the region.
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Puzyreva, Lyubava, and Tat'yana Zhuravleva. "Personal Predictors of Professional Burnout in Employees of Multifunctional Public Services Centers." Bulletin of Kemerovo State University. Series: Humanities and Social Sciences 9, no. 2 (2025): 191–202. https://doi.org/10.21603/2542-1840-2025-9-2-191-202.

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In the rapidly changing world, professional burnout is an important research issue because it has a long-term effect on human well-being. The article describes the phenomenon of professional burnout in employees of multifunctional public services centers. The research revealed a correlation between professional burnout, emotional intelligence, affective empathy, professional motivation, and personality traits in the Big Five model. The study involved 367 employees of multifunctional centers in the city of Perm and the Perm Region, Russia. Strong neuroticism, introversion, and low conscientiousness were associated with professional burnout, while a high level of emotional intelligence reduced its chances. Controlled motivation increased the risk of burnout while autonomous motivation proved to be a protective factor. The research revealed a number of personal predictors of professional burnout in client-oriented environment, which deepens the understanding of this phenomenon and develops effective prevention programs. The research results can help to develop recommendations on emotional stability and professional effectiveness of employees of various socio-intensive professions.
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Balina, Tatiana A., Roman S. Nikolaev, Konstantin S. Osorgin, Zinaida V. Ponomareva, Vyacheslav A. Stolbov, and Larisa Yu Chekmeneva. "EVOLUTION OF SCIENTIFIC APPROACHES TO THE ZONING OF PERM KRAI: THEORETICAL AND METHODOLOGICAL ASPECTS." Географический вестник = Geographical bulletin, no. 3(58) (2021): 45–62. http://dx.doi.org/10.17072/2079-7877-2021-3-45-62.

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The article deals with the theoretical and methodological aspects of zoning for the purposes of territorial administration, presents various approaches to the zoning of a region being a subject of the Russian Federation (a case study of Perm Krai). We have analyzed the half-century experience of the Perm region zoning, as presented in the works by representatives of Perm geographical school founded by M. D. Sharygin, from the perspectives of different spheres of life. The doctrine of the territorial social system as a conceptual model of a region was chosen as a methodological basis. The article identifies evolutionary stages in the development of theory and methodology of zoning in the context of the expanding object and subject of social geography. We substantiate the necessity of applying an integrated approach to zoning aimed at the development of socioeconomics. Attention is focused on the scientifically-based approach to socio-economic zoning aimed at improving the living standards and quality of life of the population. The paper shows general and specific features of zoning, the relationship of economic, demographic, socio-ecological, tourist, and other types of zoning, and the possibilities of their implementation in order to improve territorial planning and management as well as to optimize the territorial-administrative structure of the Perm region. Socio-economic zoning carried out ‘from above’ and ‘from below’ has a number of advantages. When zoning is performed ‘from above’, the elements of the socio-economic system are structured (singled out) based on the analysis of economic ties, which takes into account mainly the economic parameters of the activities of the territorial community of people. When carrying out zoning ‘from below’, the life cycles of people and social, cultural, household ties of the population are revealed. Zoning is regarded as the basis for improving the mechanism of territorial self-organization of the population, and for substantiating, optimizing and implementing socio-economic policies at the meso-, micro- and top-levels.
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Lapin, Pavel M., and Ekaterina A. Balezina. "STUDENTS’ MOTIVATION FOR PERFORMING RESEARCH WORK AND ITS RELATIONSHIP WITH THEIR ORIENTATION TOWARD BUILDING AN ACADEMIC CAREER AT UNIVERSITY." Вестник Пермского университета. Философия. Психология. Социология, no. 4 (2021): 662–72. http://dx.doi.org/10.17072/2078-7898/2021-4-662-672.

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The requirements for university graduates include the possession of research skills, which implies the inclu-sion of this type of activity in the curriculum. Research work of students is included in both compulsory types of work and those performed at will of the student himself (over and above the curriculum), the latter being associated with a high level of students’ motivation. The article aims to analyze the structure of students’ motivation for carrying out research work at university and to identify its connection with the orienta-tion of young people to building an academic career at university after graduation. The methodology is based on Talcott Parsons’ model of reference variables. It allowed us to describe the motivation of students at the theoretical level. Some of the selected theoretical positions (affective neutrality, self-orientation) were tested using empirical material collected through a survey of students of Perm national research universities (Perm State University, Perm National Research Politechnic University, Higher School of Economics – Perm). Based on the ideas of T.V. Razina and other researchers of motivation, we developed and tested a methodology for identifying the structure of students’ motivation to conducting research work at university. The following were identified as the most pronounced motives of the interviewed students: firstly, they car-ry out research work for self-development in the broad sense of the word; secondly, the process itself pro-vides them with interest. Cluster analysis made it possible to classify respondents into 4 groups, based on the specifics of their motivation: strategists, enthusiasts, dependents, and and random people. A connection was revealed between the specifics of students’ motivation and their determination to build an academic ca-reer at university after graduation. As a result, we were able to identify and describe the group of students who are more determined to devote themselves to research work in the future. The paper proposes a number of recommendations for scientific supervisors and managing personnel of universities, which can be helpful in building the personnel policy of universities.
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Tsatsulin, Alexander N., and Boris A. Tsatsulin. "Scenario Modeling in Health System Management Perm Region (Part 1)." Administrative consulting, no. 2 (146) (June 7, 2021): 110–26. https://doi.org/10.22394/1726-1139-2021-2-110-126.

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The article is devoted to the problems of scenario modeling in relation to solving a number of problems of managing the health care system of the Perm Territory, which in recent years has attracted attention by the development of a number of promising projects to develop this industry, to expand the availability of medical services and to improve the level of medical care for the population. Since any good-quality project must be directly linked not only to the future periods of its implementation, but also be scientifically justified in terms of insuring all kinds of risks and threats that will stand in the way of the successful completion of the project, recently all kinds of projects, programs and plans are often developed are created using the so-called scenario approach. Several options for the development of events with this approach are offered to the appropriate circle of leaders or the power structure for the subsequent adoption of an appropriate management decision.The authors of the article consider the main provisions and principles of the scenario approach using the example of the development of the health care system of a particular subject of the federation, which makes the material proposed for consideration very relevant. The authors also define, as they see it, the main result of improving the industry in the form of a target and a national goal — the expected (upcoming) life expectancy of the population of the study area. This socio-economic indicator, which has all the signs of fatefulness, is considered by the authors to be a priority analytical indicator of the level and quality of an effective life of a Russian. The latter determines the purpose of this study.The authors consider the construction of dynamic multivariate models of industry development options for a period of up to three years to be an efficient tool for analyzing and forecasting this indicator, which is presented in the article in the form of five simultaneous equations of multiple regressions. The results of this construction are continued by discussion, and the article ends with the list of the conclusions. The authors also inform the reader about the further direction of their scientific research.
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Zaitseva, Nina V., Svetlana V. Klein, Ella V. Sedusova, Vitalii G. Kostarev, Vladimir M. Chigvintsev, and Ekaterina V. Maksimova. "Hygienic analysis of violations of sanitary and epidemiological requirements for working conditions in the field of "Mining" before and after the introduction of a risk-oriented model of control and supervisory activities (on the example of the Perm Region)." Russian Journal of Occupational Health and Industrial Ecology 61, no. 12 (2021): 797–806. http://dx.doi.org/10.31089/1026-9428-2021-61-12-797-806.

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In the Russian Federation, "Mining" is a priority activity in the group "Activities in the field of industry and agriculture" for the potential risk of harm to health. The study aims to perform a hygienic analysis of violations of sanitary and epidemiological requirements for working conditions in the field of "Mining" (on the example of the Perm Region) before and after the introduction of a risk-oriented model of control and supervisory activities to manage risks to the health of the working population. Scientists performed a study according to the data of 49 inspection acts by the Rospotrebnadzor Department in the Perm Region to facilities operating in the field of "Mining," before and after the introduction of a risk-based approach (for the periods 2013-2016 and 2017-2019), using standard analysis methods. Implemented in practice in 2016, the risk-oriented approach to the control and supervision of working conditions provides for the attribution of the activities of a legal entity, an individual entrepreneur, and (or) production facilities used by them in the implementation of this activity to a particular risk category under MP 5.1.0116-17. The study used data from the Federal Register of economic entities (legal entities/sole proprietors) subject to sanitary and epidemiological supervision as of 2020; data from Rosstat and Permstat on the number of employees engaged in work with harmful and(or) dangerous working conditions, data from Rospotrebnadzor and the Department of Rospotrebnadzor in the Perm Region on occupational morbidity for 2019. The average number of violations of sanitary and epidemiological requirements to working conditions per year per economic entity in the field of Mining in the Perm Region since 2017 (since the introduction of the risk-based model of sanitary and epidemiological surveillance) has significantly decreased (p<0.05) from 62 violations (in 2013-2016) to 31 (in 2017-2019), mainly due to a significant 2.5-fold decrease in the number of breaches of the requirements of Federal Law No. 52-FZ per entity - from 30 violations to 12. In 2017-2019, the average number of violations of the requirements for working conditions per year per subject significantly decreased compared to 2013-2016 (p<0.05) due to a reduction in violations of the requirements for the maintenance of industrial and household premises (by 11.9 times). In the period 2017-2019, regarding 2013-2016, the contribution of violations under requirements for the maintenance of industrial and household premises, ventilation decreased by an average of 5.37 and 6.07 times, respectively, increased to overalls and PPE, production control by 3.16 and 1.67 times. The results obtained indicate that introducing a risk-based approach has led to a decrease in the number of violations of sanitary and epidemiological requirements for working conditions in the field of Mining in the Perm Region since 2017. As well as an increase in the overall structure of violations of the proportion of violations of requirements, non-compliance with which can lead to severe consequences for human health (increased the proportion of violations of requirements for overalls, PPE, working conditions with a PC, production control).
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Nechaev, Michael. "Perm model of polytechnic education in the period of XVIII – first half of XIX centuries." Bulletin of PNRPU. Culture. History. Philosophy. Law, no. 2 (2017): 83–93. http://dx.doi.org/10.15593/perm.kipf/2017.2.11.

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Kovalev, Viktor E., Ksenia V. Novikova, and Ekaterina A. Antineskul. "Cluster analysis of food retailers in Russia." Upravlenets 13, no. 2 (2022): 70–84. http://dx.doi.org/10.29141/2218-5003-2022-13-2-5.

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There is lack of studies on the theoretical and practical aspects of effective clustering of food retailers. The paper focuses on adapting the cluster analysis method to improve the financial performance of retail outlets by controlling relatively homogeneous objects, such as retail space, assortment depth, and average bill. Methodologically, the study relies on the theory of marketing. The research methodology rests on the adaptation of cluster analysis for food retailers. The information base includes retailers’ official websites, expert and analytical materials, as well as databases statista.com and 2gis.ru. The study presents the results of a competitive analysis of changes in the Russian retail market and identifies industry leaders and the most promising retail formats. We propose a mathematical model by using k-means clustering to calculate evaluation criteria and use them as the basis for building a ranking of a food retailer’s stores. The model was tested using the case study of a retail company in Perm (Perm krai, Russia). The identified evaluation criteria are sales volume, retail space, average bill, marginality, the number of SKUs, and service costs. The level of the dependence of retail development on these criteria is calculated. Based on the results of food stores clustering, we single out five clusters with similar approaches to the operational management of retail formats and determine the necessary inventory and logistics. The developed model of stores clustering contributes to the implementation of outlets provision standards and enhances retailers’ performance and the level of customer service.
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43

Matienko, N. V. "MODEL OF TERRITORIAL PUBLIC SELF-GOVERNNANCE IN BIROBIDZHAN AND ITS DISTINCTIVE FEATURES." Regional problems 24, no. 2-3 (2021): 244–50. http://dx.doi.org/10.31433/2618-9593-2021-24-2-3-244-250.

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The body of theoretic, scientific and research materials on territorial public self-governance (TPS) and its actual state in Russia is quite impressive today. The specific practices are broadly disseminated in the cities of Perm, Yaroslavl, Dzerzhinsk, Novosibirsk, Tomsk, Ulan-Ude, etc. Many scientific works consider legal, public and political nature of this unique municipal people’s democracy institution. Nevertheless, there are no. so many methodological publications providing a deeper insight into the system of various TPS practices. In Birobidzhan, the TPS activities are based on functional trilateral cooperation of the Local Residents, TPS Bodies and Local Self-Governance Authorities. The author of this article has attempted to briefly systematize the unique TPS features of Birobidzhan and justify the existence of the specific Birobidzhan TPS Model, which is already known as the «Three-D-TPS».
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44

Pereskokov, M. L., and P. S. Kozyakova. "MODELS OF SETTLEMENT STRUCTURES OF THE PERM KAMA REGION POPULATION IN THE EARLY IRON AGE." Вестник Пермского университета. История, no. 1 (64) (2024): 26–38. http://dx.doi.org/10.17072/2219-3111-2024-1-26-38.

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An analysis of contemporary literature on settlement systems and spatial analysis of archaeological sites is pre-sented in the paper. The challenges associated with using geographic information systems tools for spatial analysis are identified. The authors present theoretical foundations for the analysis of settlement systems and the reconstruc-tion of population adaptation systems. Three settlement models are proposed, each characterized by a specific level of economic and cultural development and social structure, taking into account changing environmental conditions. The “horizontal” model implies the synchronous coexistence of all known archaeological sites of a certain period, each of which was an independent settlement economic unit and belonged to a separate community. Such a unit can be either a fortified settlement or an unfortified one, without taking into account its nature and location. The “verti-cal” model involves a system of all-season and seasonal settlements that operates within the framework of the econ-omy of one community. In this case, the topographic position of the monument is taken into account. Thus, all-season settlements (fortified and unfortified) are located on the ledges of bedrock terraces, while seasonal settlements are located in floodplain areas of river valleys. The third model, the “hierarchical” model, builds upon the “hori-zontal” model by incorporating a more complex social system, such as a chiefdom or other medium-complex society, within the economic framework of the natural and climatic context. This model highlights a central large settlement with a complex multi-rampart fortification system, surrounded by both fortified and unfortified year-round settlements, as well as seasonal settlements. Along the perimeter, there may also be settlements that mark the boundary of the territory of a particular population group.
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ZINNER, ANNA, MIKHAIL NASSONOV, and EVGENY PONOSOV. "ICONOSTASIS OF THE LORD TRANSFIGURATION MONASTERY CATHEDRAL: APPROACHING IN DETAIL." Культурный код, no. 2023-4 (2023): 37–51. http://dx.doi.org/10.36945/2658-3852-2023-4-37-51.

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The article describes the results of digitization of the iconostasis of the Transfiguration of the Savior Cathedral in Perm and describes the experience of digitalization of cultural heritage using 3D laser scanning methods. Two types of digital twins of the iconostasis were created: a highly detailed one for display and a web model for smartphone screens. The analysis of the obtained results allows further improvement of digitalization approaches for a wide range of different cultural artifacts.
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Mudrykh, Natalya, Iraida Samofalova, and Aleksey Chashchin. "Assessment of the influence of soil erosion potential indicators according to UAV data on humus content under experimental field conditions." InterCarto. InterGIS 30, no. 2 (2024): 181–91. https://doi.org/10.35595/2414-9179-2024-2-30-181-191.

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The article is devoted to studying the possibilities of digital relief modeling based on UAV survey data when analyzing the spatial distribution of humus in the conditions of an experimental field. The scale of cartographic models was 1:2 000. A key site with an area of 2.62 ha, located within the boundaries of the educational and scientific experimental field of the Perm State Agricultural and Technological University on the territory of the Perm Municipal District of the Perm Territory, was selected as the object of research. The purpose of the study is to assess the spatial distribution of humus using UAV data based on indicators of soil erosion potential. The soil cover of the surveyed area is represented by soddy-podzolic soils of heavy granulometric composition. To obtain a digital terrain model using photogrammetry methods, UAV photography was carried out using a DJI mini 2 quadcopter. Photogrammetric image processing was performed in the Drone Deploy web application. The spatial distribution of humus content in the soils of the key area was determined at 45 points. Soil samples were taken from the depth of the arable layer (0–20 cm) and analyzed in the laboratory of the Department of Agrochemistry and Soil Science of the Perm State Agricultural and Technological University according to GOST 26213-84 with colorimetric finishing. On the territory of the experimental site under study, the humus content has a pronounced spatial autocorrelation. The map of humus content was constructed using the ordinary kriging method. When visually comparing the results of digital relief modeling with a map of the spatial distribution of humus in a key area, the dependence of the increase in the content of organic matter with the values of the elevation of the area, as well as with the distance to the thalwegs (removal zone), is clearly visible. To establish the influence of relief on the humus content in soils, a raster correlation was carried out in the SAGA program, which showed a close relationship between the humus content and the distance to the thalweg and the elevation of the area (r = 0.75). Indicators characterizing moisture content and surface curvature have little effect on the variation of humus content in space.
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Plekhov, Oleg, and Oleg Naimark. "Experimental Study of Defect Induced Temperature Evolution in Polycrystalline Metals." Key Engineering Materials 592-593 (November 2013): 509–12. http://dx.doi.org/10.4028/www.scientific.net/kem.592-593.509.

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This work is devoted to theoretical and experimental study of energy dissipation and storage processes in titanium alloys under quasistatic loading. The specimen surface temperature was measured by infrared camera FLIR SC 5000 (a spectral range of 3-5 micron). Extending previous results of the research group in Perm, we coupled the experimental investigation of temperature evolution with a statistical description of the mesodefect ensemble. It allowed us to propose a thermodynamic internal variable model of heat dissipation in metals.
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Bronnikov, Vladimir A., Kseniia A. Skliannaia, and Milana I. Grigoreva. "Standartization of medical and social rehabilitation services in perm region." Medical and Social Expert Evaluation and Rehabilitation 23, no. 4 (2021): 28–38. http://dx.doi.org/10.17816/mser55292.

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Background. The process of rehabilitation services of disabled people in Russia began in 90s, when National standards (GOSTs) were developed on the basis of ISO international quality standards, however, the issue of the availability of standards is still relevant. The aim: development of approaches to the formation of a system of comprehensive rehabilitation and habilitation of disabled people, including disabled children, in the Perm Region during the implementation of a pilot project in 20172018. Materials and methods. During the process of implementation in the Perm region in 20172018 a pilot project the group of experts had to implement the methodological materials of the Ministry of Labor of the Russian Federation including standards of rehabilitation and habilitation of disabled children and adults. Two groups of disabled people of working age were selected for testing one is with motor disorders (n = 21) and other is with mental disorders (n = 25). Evaluation using standardized diagnostic scales was carried out at the beginning and at the end of the rehabilitation course, when each client filled out a client feedback questionnaire, and specialists a specialist feedback questionnaire. The duration of the rehabilitation course was 21 days. Results. Comparison of the results obtained with the data on the effectiveness of clients rehabilitation according to the existing rehabilitation programs showed the advantage of the developed standards, which was expressed by a significant improvement in the assessed indicators, as well as more accurate assessment of the rehabilitation results. Conclusions. The results of the standards development and implementation showed the possibility of creating medical and social services in rehabilitation that would make possible to put into practice the idea of a biopsychosocial model of rehabilitation through the use of the International Classification of Functioning, Disabilities and Health (ICF) as a methodology.
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Mazur, Liudmila N. "Universities in the System of Higher Education in the USSR: From Classical to Soviet Model (Tasks, Structure, Personnel)." Izvestia of the Ural federal university. Series 2. Humanities and Arts 27, no. 1 (2025): 138–54. https://doi.org/10.15826/izv2.2025.27.1.009.

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This article analyses the processes of restructuring classical universities into Soviet ones, as well as the features behind the formation of new universities established in the early Soviet period. The analysis refers to a comparison of two universities, i. e. Perm State University, founded in 1916, and Ural State University, established in 1920. Perm University was the last imperial university and until the end of the 1920s, it preserved the traditions and culture of Russian classical universities. Ural State University was one of the first Soviet universities based on the new class principles and ideas of a socialist university. In the study, the author compares three aspects — tasks, structure, and personnel drawing upon biographical directories to study the personnel of the two universities. They served as a basis for creating a database of university employees born before 1920. The database made it possible to study the dynamics and features of the change of generations of university teachers, as well as their role in ensuring the continuity of university traditions and culture. The two Ural universities, created according to the old (classical) and new (Soviet) patterns, demonstrate two variants of the formation of a Soviet university: in the first case, we are dealing with a successive variant of development, in the second — with the evolution of a polytechnic university (HTU) into a Soviet university. The succession model is characterised by the leading role of the first generation of teaching staff in preserving the idea and traditions of the classical university. The successive model is characterised by a significant humanitarian component and a closer contact between generations. The early Soviet model of transition is characterised by fundamental gaps determined by the specificity of technical (applied) and classical education and augmented by institutional reforms.
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Fedoseev, S. A., and D. L. Gorbunov. "Forecasting model municipal labor market." Bulletin of the South Ural State University. Ser. Computer Technologies, Automatic Control & Radioelectronics 22, no. 3 (2022): 163–71. http://dx.doi.org/10.14529/ctcr220315.

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The paper considers applied application of the previously proposed system-dynamic model of the economic system consisting of a finite number of elements. Aim. according to the model conception, subjects of the labour market are divided into three categories depending on the value of demand for their labor: subjects of high, low and medium qualification. Materials and metods. The model enables to calculate stable values of the number of subjects with all three qualification categories in each labour market enterprise and among unemployed subjects depending on the input data. A methodology has been developed to assign initial numerical values to each of the modelled parameters which presents three alternative ways of assigning qualifications to each labour market entity. The model has been tested with real data. Input parameters of the model are the labour market indicators of Sylva settlement of the Perm Region in 2021. Results. The modeled system is represented by the backbone enterprise, the sector of private enterprises, the sector of budgetary enterprises, the sector of shadow employment and unrecorded unemployment as well as the sector of registered unemployed. We have obtained three alternative forecasts for sustainable values of the shares of subjects with all three qualification categories in the ackbone enterprise and in each of the listed sectors of the Sylva’s labor market.
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