118 research outputs found
A multifaceted evaluation of the reference model of information assurance & security
The evaluation of a conceptual model, which is an outcome of a qualitative research, is an arduous task due to the lack of a rigorous basis for evaluation. Overcoming this challenge, the paper at hand presents a detailed example of a multifaceted evaluation of a Reference Model of Information Assurance & Security (RMIAS), which summarises the knowledge acquired by the Information Assurance & Security community to date in one all-encompassing model. A combination of analytical and empirical evaluation methods is exploited to evaluate the RMIAS in a sustained way overcoming the limitations of separate methods. The RMIAS is analytically evaluated regarding the quality criteria of conceptual models and compared with existing models. Twenty-six semi-structured interviews with IAS experts are conducted to test the merit of the RMIAS. Three workshops and a case study are carried out to verify the practical value of the model. The paper discusses the evaluation methodology and evaluation results
Secure*BPMN - a graphical extension for BPMN 2.0 based on a reference model of information assurance & security
The main contribution of this thesis is Secure*BPMN, a graphical security modelling extension for the de-facto industry standard business process modelling language BPMN 2.0.1. Secure*BPMN enables a cognitively effective representation of security concerns in business process models. It facilitates the engagement of experts with different backgrounds, including non-security and nontechnical experts, in the discussion of security concerns and in security decision-making. The strength and novelty of Secure*BPMN lie in its comprehensive semantics based on a Reference Model of Information Assurance & Security (RMIAS) and in its cognitively effective syntax.
The RMIAS, which was developed in this project, is a synthesis of the existing knowledge of the Information Assurance & Security domain. The RMIAS helps to build an agreed-upon understanding of Information Assurance & Security, which experts with different backgrounds require before they may proceed with the discussion of security issues. The development process of the RMIAS, which was made explicit, and the multiphase evaluation carried out confirmed the completeness and accuracy of the RMIAS, and its suitability as a foundation for the semantics of Secure*BPMN. The RMIAS, which has multiple implications for research, education and practice is a secondary contribution of this thesis, and is a contribution to the Information Assurance & Security domain in its own right.
The syntax of Secure*BPMN complies with the BPMN extensibility rules and with the scientific principles of cognitively effective notation design. The analytical and empirical evaluations corroborated the ontological completeness, cognitive effectiveness, ease of use and usefulness of Secure*BPMN. It was verified that Secure*BPMN has a potential to be adopted in practice
Fauna and population of non-Passerine birds in the lower reaches of the Bolshaya Rechka River (Altai Territory, Bolsherechensky reserve)
The purpose of this paper is to provide additional information on the non-Passerine bird fauna and populations in the Bolsherechensky Nature Reserve, specifically within the Bolshaya Rechka River valley. Located in Altai Krai, the reserve occupies a typical territory of the Upper Ob forest massif. Protecting the habitats of rare and endangered bird species is one of the primary goals of the reserve. However, despite previous studies, our understanding of the avifauna and bird populations remains insufficient. To address this, we conducted bird surveys in the reserve during spring and summer of 2012, 2013, 2017, and 2021, specifically within the Bolshaya Rechka River valley. The results revealed that the summer breeding community of non-Passerine birds in the Bolsherechensky reserve consists of 48 species from 18 families and 12 orders. Additionally, we discovered 11 rare and endangered bird species previously unrecorded in the reserve. In particular, seven of these species lack specific distribution information in the latest regional Red Data Books, including the Black stork (Ciconia nigra), Oriental honey buzzard (Pernis ptilorhynchus), Peregrine falcon (Falco peregrinus), Red-footed falcon (Falco vespertinus), Common wood pigeon (Columba palumbus), Eurasian pygmy owl (Glaucidium passerinum), and European bee-eater (Merops apiaster). In general, our study significantly improves our knowledge of the non-Passerine bird fauna and population of non-Passerine birds in the lower reaches of the Bolshaya Rechka River within the Bolsherechensky Nature Reserve. The findings are valuable for the improvement of biodiversity protection measures.The authors express their gratitude to A. Gribkov and L. Pozhidaeva for their financial and technical support in organizing the field studies. The authors also thank R. Bakhtin, V. Kozil, student N. Kolotov and high school student A. Bespalov for their assistance during the expeditions. Financial support for the study was provided by the Global Greengrants Fund in 2012 (the project "Save the feathered raptors of the Upper Ob boron!") and "Lash-Rasha" LLC in 2017
A review of cyber security risk assessment methods for SCADA systems
This paper reviews the state of the art in cyber security risk assessment of Supervisory Control and Data Acquisition (SCADA) systems. We select and in-detail examine twenty-four risk assessment methods developed for or applied in the context of a SCADA system. We describe the essence of the methods and then analyse them in terms of aim; application domain; the stages of risk management addressed; key risk management concepts covered; impact measurement; sources of probabilistic data; evaluation and tool support. Based on the analysis, we suggest an intuitive scheme for the categorisation of cyber security risk assessment methods for SCADA systems. We also outline five research challenges facing the domain and point out the approaches that might be taken
Cyber-risks in the Industrial Internet of Things (IIoT): towards a method for continuous assessment.
Continuous risk monitoring is considered in the context of
cybersecurity management for the Industrial Internet-of-Thing. Cyber risk management best practice is for security controls to be deployed and configured in order to bring down risk exposure to an acceptable level. However, threats and known vulnerabilities are subject to change, and estimates of risk are subject to many uncertainties, so it is important to review risk assessments and update controls when required. Risks are typically reviewed periodically (e.g. once per month), but the accelerating
pace of change means that this approach is not sustainable, and there is a requirement for continuous monitoring of cybersecurity risks.
The method described in this paper aims to alert security staff of significant changes or trends in estimated risk exposure to facilitate rational and timely decisions. Additionally, it helps predict the success and impact
of a nascent security breach allowing better prioritisation of threats and selection of appropriate responses. The method is illustrated using a scenario based on environmental control in a data centre
ΠΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ Π΄Π΅ΠΏΡΠΎΡΠ΅ΠΈΠ½ΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠΉ ΠΊΠΎΡΡΠ½ΠΎΠΉ ΡΠΊΠ°Π½ΠΈ Π² ΠΊΠ°ΡΠ΅ΡΡΠ²Π΅ ΠΌΠ°ΡΡΠΈΡΡ ΡΠΊΠ°Π½Π΅ΠΈΠ½ΠΆΠ΅Π½Π΅ΡΠ½ΠΎΠΉ ΠΊΠΎΠ½ΡΡΡΡΠΊΡΠΈΠΈ: ΡΠΊΡΠΏΠ΅ΡΠΈΠΌΠ΅Π½ΡΠ°Π»ΡΠ½ΠΎΠ΅ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠ΅
Background. At present, for a number of reasons the complete bone defect replacement with autogenous bone is not always possible. Bone substitute materials are used as an alternative to autogenous bone tissue and can be of either biological or non-biological origin. One of the ways of development of reconstructive technologies is the use of tissue-engineered constructs that fully imitate autogenous bone tissue in the required volume.
Aim of study to define in vivo the possibility of using deproteinized human cancellous bone tissue as a matrix for creating tissue-engineered constructs.
Methods. An in vivo study was carried out on NZW rabbits. To create a construct, we used the fragments of deproteinized cancellous bone tissue of the human femoral head and stromal vascular fraction of rabbit adipose tissue as a matrix. Bone defect modeling with its subsequent replacement was performed to evaluate the efficacy of reparative osteogenesis during bone defects reconstruction. Study groups were defined: group 1 (control) surgical modeling of a bone defect of the femur without its reconstruction; group 2 surgical modeling of a bone defect of the femur with its reconstruction using fragments of deproteinized cancellous bone matrix; group 3 surgical modeling of a bone defect of the femur with its reconstruction using fragments of deproteinized cancellous bone matrix in combination with stromal vascular fraction of adipose tissue (according to ACP SVF technology).
Results. Comparative analysis of reparative processes in case of applying tissue-engineered constructs based on deproteinized human cancellous bone matrix in combination with adipose tissue-derived stromal vascular fraction on in vivo experimental model revealed that the use of these bone substitute materials contributes not only to an early activation of reparative regeneration of main structural elements of the bone tissue in the area of the bone defect replacement, but also to its well-timed differentiation. This determines the restoration of structural and functional viability of the bone tissue at the damage site without developing discernible reactive inflammation. Moreover, the effect of the selected tissue-engineered construct with the combined influence of several factors (ACP SVF) in its composition turned out to be more effective in stimulating bone tissue repair and differentiation.
Conclusion. Combination of SVF and deproteinized bone matrix for creating tissue-engineered constructs enables to engage several regeneration mechanisms and accelerate the process of bone defect replacement in comparison with isolated deproteinized bone matrix without bone defect reconstruction.ΠΠΊΡΡΠ°Π»ΡΠ½ΠΎΡΡΡ. Π Π½Π°ΡΡΠΎΡΡΠ΅Π΅ Π²ΡΠ΅ΠΌΡ ΠΏΠΎ ΡΡΠ΄Ρ ΠΏΡΠΈΡΠΈΠ½ Π½Π΅ Π²ΡΠ΅Π³Π΄Π° Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎ ΠΏΠΎΠ»Π½ΠΎΠ΅ Π·Π°ΠΌΠ΅ΡΠ΅Π½ΠΈΠ΅ Π΄Π΅ΡΠ΅ΠΊΡΠ° ΠΊΠΎΡΡΠ½ΠΎΠΉ ΡΠΊΠ°Π½ΠΈ Π°ΡΡΠΎΠ³Π΅Π½Π½ΠΎΠΉ ΠΊΠΎΡΡΡΡ. Π ΠΊΠ°ΡΠ΅ΡΡΠ²Π΅ Π°Π»ΡΡΠ΅ΡΠ½Π°ΡΠΈΠ²Ρ ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡΡ ΠΊΠΎΡΡΠ½ΠΎΠ·Π°ΠΌΠ΅ΡΠ°ΡΡΠΈΠ΅ ΠΌΠ°ΡΠ΅ΡΠΈΠ°Π»Ρ ΠΊΠ°ΠΊ Π±ΠΈΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ, ΡΠ°ΠΊ ΠΈ Π½Π΅Π±ΠΈΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΏΡΠΎΠΈΡΡ
ΠΎΠΆΠ΄Π΅Π½ΠΈΡ. ΠΠ΄Π½ΠΈΠΌ ΠΈΠ· ΠΏΡΡΠ΅ΠΉ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΡΠ΅ΠΊΠΎΠ½ΡΡΡΡΠΊΡΠΈΠ²Π½ΡΡ
ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΠΉ ΡΠ²Π»ΡΠ΅ΡΡΡ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ ΡΠΊΠ°Π½Π΅ΠΈΠΆΠ΅Π½Π΅ΡΠ½ΡΡ
ΠΊΠΎΠ½ΡΡΡΡΠΊΡΠΈΠΉ, ΠΏΠΎΠ»Π½ΠΎΡΠ΅Π½Π½ΠΎ ΠΈΠΌΠΈΡΠΈΡΡΡΡΠΈΡ
Π°ΡΡΠΎΠ³Π΅Π½Π½ΡΡ ΠΊΠΎΡΡΠ½ΡΡ ΡΠΊΠ°Π½Ρ Π² Π½Π΅ΠΎΠ±Ρ
ΠΎΠ΄ΠΈΠΌΠΎΠΌ ΠΎΠ±ΡΠ΅ΠΌΠ΅.
Π¦Π΅Π»Ρ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΠΎΠΏΡΠ΅Π΄Π΅Π»ΠΈΡΡ in vivo Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΠΈ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΡ Π΄Π΅ΠΏΡΠΎΡΠ΅ΠΈΠ½ΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠΉ Π³ΡΠ±ΡΠ°ΡΠΎΠΉ ΠΊΠΎΡΡΠ½ΠΎΠΉ ΡΠΊΠ°Π½ΠΈ ΡΠ΅Π»ΠΎΠ²Π΅ΠΊΠ° Π² ΠΊΠ°ΡΠ΅ΡΡΠ²Π΅ ΠΌΠ°ΡΡΠΈΡΡ Π΄Π»Ρ ΡΠΎΠ·Π΄Π°Π½ΠΈΡ ΡΠΊΠ°Π½Π΅ΠΈΠ½ΠΆΠ΅Π½Π΅ΡΠ½ΡΡ
ΠΊΠΎΠ½ΡΡΡΡΠΊΡΠΈΠΉ.
ΠΠ°ΡΠ΅ΡΠΈΠ°Π» ΠΈ ΠΌΠ΅ΡΠΎΠ΄Ρ. ΠΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠ΅ in vivo ΠΎΡΡΡΠ΅ΡΡΠ²Π»ΡΠ»ΠΈ Π½Π° ΠΊΡΠΎΠ»ΠΈΠΊΠ°Ρ
Π»ΠΈΠ½ΠΈΠΈ NZW. ΠΠ»Ρ ΡΠΎΠ·Π΄Π°Π½ΠΈΡ ΠΌΠ°ΡΡΠΈΡΡ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π»ΠΈ ΡΡΠ°Π³ΠΌΠ΅Π½ΡΡ Π΄Π΅ΠΏΡΠΎΡΠ΅ΠΈΠ½ΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠΉ Π³ΡΠ±ΡΠ°ΡΠΎΠΉ ΠΊΠΎΡΡΠ½ΠΎΠΉ ΡΠΊΠ°Π½ΠΈ Π³ΠΎΠ»ΠΎΠ²ΠΊΠΈ Π±Π΅Π΄ΡΠ΅Π½Π½ΠΎΠΉ ΠΊΠΎΡΡΠΈ ΡΠ΅Π»ΠΎΠ²Π΅ΠΊΠ°, ΡΡΡΠΎΠΌΠ°Π»ΡΠ½ΠΎ-Π²Π°ΡΠΊΡΠ»ΡΡΠ½ΡΡ ΡΡΠ°ΠΊΡΠΈΡ ΠΆΠΈΡΠΎΠ²ΠΎΠΉ ΡΠΊΠ°Π½ΠΈ ΠΊΡΠΎΠ»ΠΈΠΊΠ°. ΠΠ»Ρ ΠΎΡΠ΅Π½ΠΊΠΈ ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΡΡΠΈ ΡΠ΅ΠΏΠ°ΡΠ°ΡΠΈΠ²Π½ΠΎΠ³ΠΎ ΠΎΡΡΠ΅ΠΎΠ³Π΅Π½Π΅Π·Π° ΠΏΡΠΈ ΡΠ΅ΠΊΠΎΠ½ΡΡΡΡΠΊΡΠΈΠΈ ΠΊΠΎΡΡΠ½ΡΡ
Π΄Π΅ΡΠ΅ΠΊΡΠΎΠ² Π²ΡΠΏΠΎΠ»Π½ΡΠ»ΠΎΡΡ ΠΌΠΎΠ΄Π΅Π»ΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ ΠΊΠΎΡΡΠ½ΠΎΠ³ΠΎ Π΄Π΅ΡΠ΅ΠΊΡΠ° Ρ Π΅Π³ΠΎ ΠΏΠΎΡΠ»Π΅Π΄ΡΡΡΠΈΠΌ Π·Π°ΠΌΠ΅ΡΠ΅Π½ΠΈΠ΅ΠΌ. ΠΡΠ΄Π΅Π»Π΅Π½Ρ Π³ΡΡΠΏΠΏΡ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ: 1-Ρ Π³ΡΡΠΏΠΏΠ° (ΠΊΠΎΠ½ΡΡΠΎΠ»ΡΠ½Π°Ρ) Ρ
ΠΈΡΡΡΠ³ΠΈΡΠ΅ΡΠΊΠΎΠ΅ ΠΌΠΎΠ΄Π΅Π»ΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ ΠΊΠΎΡΡΠ½ΠΎΠ³ΠΎ Π΄Π΅ΡΠ΅ΠΊΡΠ° Π±Π΅Π΄ΡΠ΅Π½Π½ΠΎΠΉ ΠΊΠΎΡΡΠΈ Π±Π΅Π· Π΅Π³ΠΎ ΡΠ΅ΠΊΠΎΠ½ΡΡΡΡΠΊΡΠΈΠΈ; 2-Ρ Π³ΡΡΠΏΠΏΠ° Ρ
ΠΈΡΡΡΠ³ΠΈΡΠ΅ΡΠΊΠΎΠ΅ ΠΌΠΎΠ΄Π΅Π»ΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ ΠΊΠΎΡΡΠ½ΠΎΠ³ΠΎ Π΄Π΅ΡΠ΅ΠΊΡΠ° Π±Π΅Π΄ΡΠ΅Π½Π½ΠΎΠΉ ΠΊΠΎΡΡΠΈ Ρ Π΅Π³ΠΎ ΡΠ΅ΠΊΠΎΠ½ΡΡΡΡΠΊΡΠΈΠ΅ΠΉ ΡΡΠ°Π³ΠΌΠ΅Π½ΡΠ°ΠΌΠΈ Π΄Π΅ΠΏΡΠΎΡΠ΅ΠΈΠ½ΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠΉ Π³ΡΠ±ΡΠ°ΡΠΎΠΉ ΠΊΠΎΡΡΠ½ΠΎΠΉ ΠΌΠ°ΡΡΠΈΡΡ; 3-Ρ Π³ΡΡΠΏΠΏΠ° Ρ
ΠΈΡΡΡΠ³ΠΈΡΠ΅ΡΠΊΠΎΠ΅ ΠΌΠΎΠ΄Π΅Π»ΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ ΠΊΠΎΡΡΠ½ΠΎΠ³ΠΎ Π΄Π΅ΡΠ΅ΠΊΡΠ° Π±Π΅Π΄ΡΠ΅Π½Π½ΠΎΠΉ ΠΊΠΎΡΡΠΈ Ρ Π΅Π³ΠΎ ΡΠ΅ΠΊΠΎΠ½ΡΡΡΡΠΊΡΠΈΠ΅ΠΉ ΡΡΠ°Π³ΠΌΠ΅Π½ΡΠ°ΠΌΠΈ Π΄Π΅ΠΏΡΠΎΡΠ΅ΠΈΠ½ΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠΉ Π³ΡΠ±ΡΠ°ΡΠΎΠΉ ΠΊΠΎΡΡΠ½ΠΎΠΉ ΠΌΠ°ΡΡΠΈΡΡ ΡΠΎΠ²ΠΌΠ΅ΡΡΠ½ΠΎ ΡΠΎ ΡΡΡΠΎΠΌΠ°Π»ΡΠ½ΠΎ-Π²Π°ΡΠΊΡΠ»ΡΡΠ½ΠΎΠΉ ΡΡΠ°ΠΊΡΠΈΠ΅ΠΉ ΠΆΠΈΡΠΎΠ²ΠΎΠΉ ΡΠΊΠ°Π½ΠΈ (ΡΠΎΠ³Π»Π°ΡΠ½ΠΎ ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΠΈ ACP SVF).
Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ. CΡΠ°Π²Π½ΠΈΡΠ΅Π»ΡΠ½ΡΠΉ Π°Π½Π°Π»ΠΈΠ· ΡΠ΅ΠΏΠ°ΡΠ°ΡΠΈΠ²Π½ΡΡ
ΠΏΡΠΎΡΠ΅ΡΡΠΎΠ² ΠΏΡΠΈ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠΈ ΡΠΊΠ°Π½Π΅ΠΈΠ½ΠΆΠ΅Π½Π΅ΡΠ½ΠΎΠΉ ΠΊΠΎΠ½ΡΡΡΡΠΊΡΠΈΠΈ Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ ΠΊΠΎΡΡΠ½ΠΎΠΉ ΠΌΠ°ΡΡΠΈΡΡ ΠΈΠ· Π΄Π΅ΠΏΡΠΎΡΠ΅ΠΈΠ½ΠΈΠ·ΠΈΡΠΎΠ²Π°Π½ΠΎΠΉ Π³ΡΠ±ΡΠ°ΡΠΎΠΉ ΠΊΠΎΡΡΠ½ΠΎΠΉ ΡΠΊΠ°Π½ΠΈ ΡΠ΅Π»ΠΎΠ²Π΅ΠΊΠ° Π² ΡΠΎΡΠ΅ΡΠ°Π½ΠΈΠΈ ΡΠΎ ΡΡΡΠΎΠΌΠ°Π»ΡΠ½ΠΎ-Π²Π°ΡΠΊΡΠ»ΡΡΠ½ΠΎΠΉ ΡΡΠ°ΠΊΡΠΈΠ΅ΠΉ ΠΆΠΈΡΠΎΠ²ΠΎΠΉ ΡΠΊΠ°Π½ΠΈ Π½Π° ΡΠΊΡΠΏΠ΅ΡΠΈΠΌΠ΅Π½ΡΠ°Π»ΡΠ½ΠΎΠΉ ΠΌΠΎΠ΄Π΅Π»ΠΈ in vivo Π²ΡΡΠ²ΠΈΠ», ΡΡΠΎ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ ΠΊΠΎΡΡΠ½ΠΎΠ·Π°ΠΌΠ΅ΡΠ°ΡΡΠΈΡ
ΠΌΠ°ΡΠ΅ΡΠΈΠ°Π»ΠΎΠ² ΡΠΏΠΎΡΠΎΠ±ΡΡΠ²ΡΠ΅Ρ Π½Π΅ ΡΠΎΠ»ΡΠΊΠΎ ΡΠ°Π½Π½Π΅ΠΉ Π°ΠΊΡΠΈΠ²Π°ΡΠΈΠΈ ΡΠ΅ΠΏΠ°ΡΠ°ΡΠΈΠ²Π½ΠΎΠΉ ΡΠ΅Π³Π΅Π½Π΅ΡΠ°ΡΠΈΠΈ ΠΎΡΠ½ΠΎΠ²Π½ΡΡ
ΡΡΡΡΠΊΡΡΡΠ½ΡΡ
ΡΠ»Π΅ΠΌΠ΅Π½ΡΠΎΠ² ΠΊΠΎΡΡΠ½ΠΎΠΉ ΡΠΊΠ°Π½ΠΈ Π² ΠΌΠ΅ΡΡΠ΅ Π·Π°ΠΌΠ΅ΡΠ΅Π½ΠΈΡ ΠΊΠΎΡΡΠ½ΠΎΠ³ΠΎ Π΄Π΅ΡΠ΅ΠΊΡΠ°, Π½ΠΎ ΠΈ ΠΈΡ
ΡΠ²ΠΎΠ΅Π²ΡΠ΅ΠΌΠ΅Π½Π½ΠΎΠΉ Π΄ΠΈΡΡΠ΅ΡΠ΅Π½ΡΠΈΡΠΎΠ²ΠΊΠ΅. ΠΡΠΎ ΠΎΠ±ΡΡΠ»ΠΎΠ²Π»ΠΈΠ²Π°Π΅Ρ Π²ΠΎΡΡΡΠ°Π½ΠΎΠ²Π»Π΅Π½ΠΈΠ΅ ΡΡΡΡΠΊΡΡΡΠ½ΠΎ-ΡΡΠ½ΠΊΡΠΈΠΎΠ½Π°Π»ΡΠ½ΠΎΠΉ ΡΠΎΡΡΠΎΡΡΠ΅Π»ΡΠ½ΠΎΠΉ ΠΊΠΎΡΡΠ½ΠΎΠΉ ΡΠΊΠ°Π½ΠΈ Π² ΠΌΠ΅ΡΡΠ΅ ΠΏΠΎΠ²ΡΠ΅ΠΆΠ΄Π΅Π½ΠΈΡ, Π½Π΅ Π²ΡΠ·ΡΠ²Π°Ρ ΡΠ°Π·Π²ΠΈΡΠΈΡ Π²ΡΡΠ°ΠΆΠ΅Π½Π½ΠΎΠ³ΠΎ ΡΠ΅Π°ΠΊΡΠΈΠ²Π½ΠΎΠ³ΠΎ Π²ΠΎΡΠΏΠ°Π»Π΅Π½ΠΈΡ. ΠΡΠΈ ΡΡΠΎΠΌ Π΄Π΅ΠΉΡΡΠ²ΠΈΠ΅ Π²ΡΠ±ΡΠ°Π½Π½ΠΎΠΉ ΡΠΊΠ°Π½Π΅ΠΈΠ½ΠΆΠ΅Π½Π΅ΡΠ½ΠΎΠΉ ΠΊΠΎΠ½ΡΡΡΡΠΊΡΠΈΠΈ Ρ ΡΠΎΡΠ΅ΡΠ°Π½Π½ΡΠΌ Π²Π»ΠΈΡΠ½ΠΈΠ΅ΠΌ Π½Π΅ΡΠΊΠΎΠ»ΡΠΊΠΈΡ
ΡΠ°ΠΊΡΠΎΡΠΎΠ² (ACP SVF) Π² Π΅Π΅ ΡΠΎΡΡΠ°Π²Π΅ ΠΎΠΊΠ°Π·Π°Π»ΠΎΡΡ Π±ΠΎΠ»Π΅Π΅ ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΡΠΌ Π΄Π»Ρ ΡΡΠΊΠΎΡΠ΅Π½ΠΈΡ ΡΠ΅Π³Π΅Π½Π΅ΡΠ°ΡΠΈΠΈ ΠΈ Π΄ΠΈΡΡΠ΅ΡΠ΅Π½ΡΠΈΡΠΎΠ²ΠΊΠΈ ΠΊΠΎΡΡΠ½ΠΎΠΉ ΡΠΊΠ°Π½ΠΈ.
ΠΠ°ΠΊΠ»ΡΡΠ΅Π½ΠΈΠ΅. ΠΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ ΡΠΎΡΠ΅ΡΠ°Π½ΠΈΡ SVF Ρ Π΄Π΅ΠΏΡΠΎΡΠ΅ΠΈΠ½ΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠΉ ΠΊΠΎΡΡΠ½ΠΎΠΉ ΠΌΠ°ΡΡΠΈΡΠ΅ΠΉ Π΄Π»Ρ ΡΠΎΠ·Π΄Π°Π½ΠΈΡ ΡΠΊΠ°Π½Π΅ΠΈΠ½ΠΆΠ΅Π½Π΅ΡΠ½ΠΎΠΉ ΠΊΠΎΠ½ΡΡΡΡΠΊΡΠΈΠΈ ΠΏΠΎΠ·Π²ΠΎΠ»ΡΠ΅Ρ Π·Π°Π΄Π΅ΠΉΡΡΠ²ΠΎΠ²Π°ΡΡ Π½Π΅ΡΠΊΠΎΠ»ΡΠΊΠΎ ΠΌΠ΅Ρ
Π°Π½ΠΈΠ·ΠΌΠΎΠ² ΡΠ΅Π³Π΅Π½Π΅ΡΠ°ΡΠΈΠΈ ΠΈ ΡΡΠΊΠΎΡΠΈΡΡ ΠΏΡΠΎΡΠ΅ΡΡ Π·Π°ΠΌΠ΅ΡΠ΅Π½ΠΈΡ ΠΊΠΎΡΡΠ½ΠΎΠ³ΠΎ Π΄Π΅ΡΠ΅ΠΊΡΠ° ΠΏΠΎ ΡΡΠ°Π²Π½Π΅Π½ΠΈΡ Ρ ΠΈΠ·ΠΎΠ»ΠΈΡΠΎΠ²Π°Π½Π½ΡΠΌ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ Π΄Π΅ΠΏΡΠΎΡΠ΅ΠΈΠ½ΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠΉ ΠΊΠΎΡΡΠ½ΠΎΠΉ ΠΌΠ°ΡΡΠΈΡΡ ΠΈ Π±Π΅Π· ΡΠ΅ΠΊΠΎΠ½ΡΡΡΡΠΊΡΠΈΠΈ ΠΊΠΎΡΡΠ½ΠΎΠ³ΠΎ Π΄Π΅ΡΠ΅ΠΊΡΠ°
Operations-informed incident response playbooks
Cyber security incident response playbooks are critical for establishing an effective incident response capability within organizations. We identify a significant conceptual gap in the current research and practice of cyber security playbook design: the lack of ability to communicate the operational impact of an incident and of incident response on an organization. In this paper, we present a mechanism to address the gap by introducing the operational context into an incident response playbook. This conceptual contribution calls for a shift from playbooks that consist only of process models to playbooks that consist of process models closely linked with a model of operations. We describe a novel approach to embed a model of operations into the incident response playbook and link it with the playbook's incident response activities. This allows to reflect, in an accurate and systematic way, the interdependencies and mutual influences of incident response activities on operations and vice versa. The approach includes the use of a new metric for evaluating the change in operations in coordination with critical thresholds, supporting decision-making during cyber security incident response. We demonstrate the application of the proposed approach to playbook design in the context of a ransomware attack incident response, using a newly developed open-source tool
ΠΡΠ΅Π½ΠΊΠ° in vitro Π²Π»ΠΈΡΠ½ΠΈΡ Π°Π»Π»ΠΎΠ³Π΅Π½Π½ΠΎΠΉ ΠΊΠΎΡΡΠ½ΠΎΠΉ ΠΌΠ°ΡΡΠΈΡΡ Π½Π° Ρ Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊΠΈ ΠΌΠ΅Π·Π΅Π½Ρ ΠΈΠΌΠ°Π»ΡΠ½ΡΡ ΡΡΡΠΎΠΌΠ°Π»ΡΠ½ΡΡ ΠΊΠ»Π΅ΡΠΎΠΊ ΠΈΠ· ΠΆΠΈΡΠΎΠ²ΠΎΠΉ ΡΠΊΠ°Π½ΠΈ ΠΏΡΠΈ ΡΠΎΠ·Π΄Π°Π½ΠΈΠΈ ΠΊΠΎΠΌΠ±ΠΈΠ½ΠΈΡΠΎΠ²Π°Π½Π½ΡΡ ΡΠΊΠ°Π½Π΅ΠΈΠ½ΠΆΠ΅Π½Π΅ΡΠ½ΡΡ ΠΊΠΎΠ½ΡΡΡΡΠΊΡΠΈΠΉ
The aim of the study was to evaluate in vitro the effect of native and deproteinized compact and spongy allogenic bone matrices on the characteristics of adipose mesenchymal stromal cells (ASC) in combined tissue engineering.Material and Methods. 24 samples of native and deproteinized compact and spongy bone were examined, which were exposed to mechanical treatment, modeling, followed by sterilization of the samples by ionizing radiation and bacteriological control of sterilization. Some of the samples underwent deproteinization. The characterized cultures of human ASC were used as test cultures to assess the interaction with the bone samples. The Cytation-5 fluorescent imager and Hoechst 3334 fluorochromes (BD Pharmingenβ’) and calcein (Calcein AM, BD Pharmingenβ’) were used to characterize the degree of adhesion, migration, and viability of ASC on bone matrix samples. Matrix cytotoxicity was evaluated by MTT assay on days 1 and 7 of extraction.Results. The bone matrix samples are characterized by the absence of cytotoxicity (rank 1). ASC demonstrated good adhesion and migration on any surface of the bone matrix and preservation of cell viability during 7 days of observation. Nuclei sizes of the cells adhered to the deproteinized bone matrix of the spongy structure increased by 25β30% compared to other samples. The cells on deproteinized bone matrix had greater size (the size of the cells from nuclei 8.8 to 11.5 ΞΌm, the average size of cells nuclei from an 86.3 ΞΌm to 129,0 ΞΌm, the average perimeter of the cells nuclei from 30.7 ΞΌm to 40.7 ΞΌm) than in the native bone matrix samples.Conclusion. The results of the study of various allogeneic bone matrices demonstrate that deep purification of the bone matrix determines the absence of cytotoxicity and the most favorable conditions for the adhesion, migration, proliferation and viability of ASC. Also makes it possible to use tissue engineering based on bone matrices of different structures. Deproteinized spongy bone matrices are best suited for this purpose.Π¦Π΅Π»Ρ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ β ΠΎΡΠ΅Π½ΠΊΠ° in vitro Π²Π»ΠΈΡΠ½ΠΈΡ Π½Π°ΡΠΈΠ²Π½ΠΎΠΉ ΠΈ Π΄Π΅ΠΏΡΠΎΡΠ΅ΠΈΠ½ΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠΉ ΠΊΠΎΠΌΠΏΠ°ΠΊΡΠ½ΠΎΠΉ ΠΈ Π³ΡΠ±ΡΠ°ΡΠΎΠΉ Π°Π»Π»ΠΎΠ³Π΅Π½Π½ΡΡ
ΠΊΠΎΡΡΠ½ΡΡ
ΠΌΠ°ΡΡΠΈΡ Π½Π° Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊΠΈ ΠΌΠ΅Π·Π΅Π½Ρ
ΠΈΠΌΠ°Π»ΡΠ½ΡΡ
ΡΡΡΠΎΠΌΠ°Π»ΡΠ½ΡΡ
ΠΊΠ»Π΅ΡΠΎΠΊ ΠΈΠ· ΠΆΠΈΡΠΎΠ²ΠΎΠΉ ΡΠΊΠ°Π½ΠΈ (ΠΠ‘Π ΠΠ’) Π΄Π»Ρ ΡΠΎΠ·Π΄Π°Π½ΠΈΡ ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΠΉ ΠΊΠΎΠΌΠ±ΠΈΠ½ΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠΉ ΡΠΊΠ°Π½Π΅ΠΈΠ½ΠΆΠ΅Π½Π΅ΡΠ½ΠΎΠΉ ΠΊΠΎΠ½ΡΡΡΡΠΊΡΠΈΠΈ.ΠΠ°ΡΠ΅ΡΠΈΠ°Π» ΠΈ ΠΌΠ΅ΡΠΎΠ΄Ρ. ΠΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π»ΠΈ 24 ΠΎΠ±ΡΠ°Π·ΡΠ° Π½Π°ΡΠΈΠ²Π½ΠΎΠΉ ΠΈ Π΄Π΅ΠΏΡΠΎΡΠ΅ΠΈΠ½ΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠΉ ΠΊΠΎΠΌΠΏΠ°ΠΊΡΠ½ΠΎΠΉ ΠΈ Π³ΡΠ±ΡΠ°ΡΠΎΠΉ ΠΊΠΎΡΡΠ½ΠΎΠΉ ΡΠΊΠ°Π½ΠΈ, ΠΊΠΎΡΠΎΡΡΠ΅ ΠΏΠΎΠ΄Π²Π΅ΡΠ³Π°Π»ΠΈ ΠΌΠ΅Ρ
Π°Π½ΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΎΠ±ΡΠ°Π±ΠΎΡΠΊΠ΅, ΠΌΠΎΠ΄Π΅Π»ΠΈΡΠΎΠ²Π°Π½ΠΈΡ Ρ ΠΏΠΎΡΠ»Π΅Π΄ΡΡΡΠ΅ΠΉ ΡΡΠ΅ΡΠΈΠ»ΠΈΠ·Π°ΡΠΈΠ΅ΠΉ ΠΎΠ±ΡΠ°Π·ΡΠΎΠ² ΠΈΠΎΠ½ΠΈΠ·ΠΈΡΡΡΡΠΈΠΌ ΠΈΠ·Π»ΡΡΠ΅Π½ΠΈΠ΅ΠΌ ΠΈ Π±Π°ΠΊΡΠ΅ΡΠΈΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΠΌ ΠΊΠΎΠ½ΡΡΠΎΠ»Π΅ΠΌ ΡΡΠ΅ΡΠΈΠ»ΠΈΠ·Π°ΡΠΈΠΈ. Π§Π°ΡΡΡ ΠΎΠ±ΡΠ°Π·ΡΠΎΠ² ΠΏΡΠΎΡ
ΠΎΠ΄ΠΈΠ»Π° ΠΏΡΠΎΡΠ΅Π΄ΡΡΡ Π΄Π΅ΠΏΡΠΎΡΠ΅ΠΈΠ½ΠΈΠ·Π°ΡΠΈΠΈ. Π ΠΊΠ°ΡΠ΅ΡΡΠ²Π΅ ΡΠ΅ΡΡΠΎΠ²ΡΡ
ΠΊΡΠ»ΡΡΡΡ Π΄Π»Ρ ΠΎΡΠ΅Π½ΠΊΠΈ Π²Π·Π°ΠΈΠΌΠΎΠ΄Π΅ΠΉΡΡΠ²ΠΈΡ Ρ ΠΈΡΡΠ»Π΅Π΄ΡΠ΅ΠΌΡΠΌΠΈ ΠΎΠ±ΡΠ°Π·ΡΠ°ΠΌΠΈ ΠΊΠΎΡΡΠ½ΠΎΠΉ ΡΠΊΠ°Π½ΠΈ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π»ΠΈ ΠΎΡ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΠ·ΠΎΠ²Π°Π½Π½ΡΠ΅ ΠΊΡΠ»ΡΡΡΡΡ ΠΠ‘Π ΠΠ’ ΡΠ΅Π»ΠΎΠ²Π΅ΠΊΠ°. ΠΠ»Ρ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊΠΈ Π²ΡΡΠ°ΠΆΠ΅Π½Π½ΠΎΡΡΠΈ Π°Π΄Π³Π΅Π·ΠΈΠΈ, ΠΌΠΈΠ³ΡΠ°ΡΠΈΠΈ ΠΈ ΠΆΠΈΠ·Π½Π΅ΡΠΏΠΎΡΠΎΠ±Π½ΠΎΡΡΠΈ ΠΠ‘Π Π½Π° ΠΎΠ±ΡΠ°Π·ΡΠ°Ρ
ΠΊΠΎΡΡΠ½ΠΎΠ³ΠΎ ΠΌΠ°ΡΡΠΈΠΊΡΠ° ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π»ΠΈ ΡΠ»ΡΠΎΡΠ΅ΡΡΠ΅Π½ΡΠ½ΡΠΉ ΠΈΠΌΠΈΠ΄ΠΆΠ΅Ρ Cytation-5 ΠΈ ΡΠ»ΡΠΎΡΠΎΡ
ΡΠΎΠΌΡ Hoechst 3334 (BD Pharmingenβ’) ΠΈ ΠΊΠ°Π»ΡΡΠ΅ΠΈΠ½ (Calcein AM, BD Pharmingenβ’). Π¦ΠΈΡΠΎΡΠΎΠΊΡΠΈΡΠ½ΠΎΡΡΡ ΠΌΠ°ΡΡΠΈΡ ΠΎΡΠ΅Π½ΠΈΠ²Π°Π»ΠΈ Ρ ΠΏΠΎΠΌΠΎΡΡΡ ΠΠ’Π’-ΡΠ΅ΡΡΠ° ΠΏΠΎΡΠ»Π΅ 1 ΠΈ 7 ΡΡΡ. ΡΠΊΡΡΡΠ°ΠΊΡΠΈΠΈ.Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ. ΠΠ±ΡΠ°Π·ΡΡ ΠΈΡΡΠ»Π΅Π΄ΡΠ΅ΠΌΡΡ
ΠΊΠΎΡΡΠ½ΡΡ
ΠΌΠ°ΡΡΠΈΡ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΠ·ΡΡΡΡΡ ΠΎΡΡΡΡΡΡΠ²ΠΈΠ΅ΠΌ ΡΠΈΡΠΎΡΠΎΠΊΡΠΈΡΠ½ΠΎΡΡΠΈ (ΡΠ°Π½Π³ 1). ΠΡΠΎ ΡΠΎΠΏΡΠΎΠ²ΠΎΠΆΠ΄Π°Π΅ΡΡΡ Ρ
ΠΎΡΠΎΡΠ΅ΠΉ Π°Π΄Π³Π΅Π·ΠΈΠ΅ΠΉ ΠΈ ΠΌΠΈΠ³ΡΠ°ΡΠΈΠ΅ΠΉ ΠΠ‘Π ΠΠ’ Π½Π° Π»ΡΠ±ΠΎΠΉ ΠΏΠΎΠ²Π΅ΡΡ
Π½ΠΎΡΡΠΈ ΠΊΠΎΡΡΠ½ΠΎΠ³ΠΎ ΠΌΠ°ΡΡΠΈΠΊΡΠ° ΠΈ ΡΠΎΡ
ΡΠ°Π½Π΅Π½ΠΈΠ΅ΠΌ ΠΆΠΈΠ·Π½Π΅ΡΠΏΠΎΡΠΎΠ±Π½ΠΎΡΡΠΈ ΠΊΠ»Π΅ΡΠΎΠΊ Π² ΡΠ΅ΡΠ΅Π½ΠΈΠ΅ 7 ΡΡΡ. Π½Π°Π±Π»ΡΠ΄Π΅Π½ΠΈΡ. Π Π±ΠΎΠ»ΡΡΠ΅ΠΉ ΡΡΠ΅ΠΏΠ΅Π½ΠΈ ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΡ ΠΊΠ°ΡΠ°ΡΡΡΡ ΡΠ²Π΅Π»ΠΈΡΠ΅Π½ΠΈΡ ΡΠ°Π·ΠΌΠ΅ΡΠΎΠ² ΡΠ΄Π΅Ρ ΠΊΠ»Π΅ΡΠΎΠΊ, Π°Π΄Π³Π΅Π·ΠΈΡΠΎΠ²Π°Π½Π½ΡΡ
Π½Π° Π΄Π΅ΠΏΡΠΎΡΠ΅ΠΈΠ½ΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠΉ ΠΊΠΎΡΡΠ½ΠΎΠΉ ΠΌΠ°ΡΡΠΈΡΠ΅ Π³ΡΠ±ΡΠ°ΡΠΎΠΉ ΡΡΡΡΠΊΡΡΡΡ, Π½Π° 25β30% ΠΏΠΎ ΡΡΠ°Π²Π½Π΅Π½ΠΈΡ Ρ Π²Π΅Π»ΠΈΡΠΈΠ½ΠΎΠΉ Π°Π½Π°Π»ΠΎΠ³ΠΈΡΠ½ΠΎΠ³ΠΎ ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠ° Π½Π° Π΄ΡΡΠ³ΠΈΡ
ΠΎΠ±ΡΠ°Π·ΡΠ°Ρ
. ΠΡΠΈ ΡΡΠΎΠΌ ΡΠ°Π·ΠΌΠ΅ΡΡ ΠΊΠ»Π΅ΡΠΎΠΊ Π½Π° Π΄Π΅ΠΏΡΠΎΡΠ΅ΠΈΠ½ΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠΉ ΠΊΠΎΡΡΠ½ΠΎΠΉ ΠΌΠ°ΡΡΠΈΡΠ΅ Π½Π΅ΡΠΊΠΎΠ»ΡΠΊΠΎ Π±ΠΎΠ»ΡΡΠ΅ (Π²Π΅Π»ΠΈΡΠΈΠ½Π° ΡΠ΄Π΅Ρ ΠΊΠ»Π΅ΡΠΎΠΊ Ρ 8,8 Π΄ΠΎ 11,5 ΠΌΠΊΠΌ, ΡΡΠ΅Π΄Π½ΡΡ ΠΏΠ»ΠΎΡΠ°Π΄Ρ ΡΠ΄Π΅Ρ ΠΊΠ»Π΅ΡΠΎΠΊ ΠΎΡ 86,3 ΠΌΠΊΠΌ Π΄ΠΎ 129,0 ΠΌΠΊΠΌ, ΡΡΠ΅Π΄Π½ΠΈΠΉ ΠΏΠ΅ΡΠΈΠΌΠ΅ΡΡ ΡΠ΄Π΅Ρ ΠΊΠ»Π΅ΡΠΎΠΊ Ρ 30,7 ΠΌΠΊΠΌ Π΄ΠΎ 40,7 ΠΌΠΊΠΌ), ΡΠ΅ΠΌ Π½Π° ΠΎΠ±ΡΠ°Π·ΡΠ°Ρ
Π½Π°ΡΠΈΠ²Π½ΠΎΠΉ ΠΊΠΎΡΡΠ½ΠΎΠΉ ΠΌΠ°ΡΡΠΈΡΡ.ΠΠ°ΠΊΠ»ΡΡΠ΅Π½ΠΈΠ΅. Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΡΠ°Π·Π»ΠΈΡΠ½ΡΡ
Π°Π»Π»ΠΎΠ³Π΅Π½Π½ΡΡ
ΠΊΠΎΡΡΠ½ΡΡ
ΠΌΠ°ΡΡΠΈΡ Π΄Π΅ΠΌΠΎΠ½ΡΡΡΠΈΡΡΡΡ, ΡΡΠΎ Π³Π»ΡΠ±ΠΎΠΊΠ°Ρ ΡΡΠ΅ΠΏΠ΅Π½Ρ ΠΎΡΠΈΡΡΠΊΠΈ ΠΊΠΎΡΡΠ½ΠΎΠΉ ΠΌΠ°ΡΡΠΈΡΡ ΠΎΠΏΡΠ΅Π΄Π΅Π»ΡΠ΅Ρ ΠΎΡΡΡΡΡΡΠ²ΠΈΠ΅ ΡΠΈΡΠΎΡΠΎΠΊΡΠΈΡΠ½ΠΎΡΡΠΈ ΠΈ Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ Π±Π»Π°Π³ΠΎΠΏΡΠΈΡΡΠ½ΡΠ΅ ΡΡΠ»ΠΎΠ²ΠΈΡ Π΄Π»Ρ Π°Π΄Π³Π΅Π·ΠΈΠΈ, ΠΌΠΈΠ³ΡΠ°ΡΠΈΠΈ, ΠΏΡΠΎΠ»ΠΈΡΠ΅ΡΠ°ΡΠΈΠΈ ΠΈ ΠΆΠΈΠ·Π½Π΅ΡΠΏΠΎΡΠΎΠ±Π½ΠΎΡΡΠΈ ΠΠ‘Π ΠΠ’. ΠΡΠΎ ΠΎΠ±ΡΡΠ»ΠΎΠ²Π»ΠΈΠ²Π°Π΅Ρ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΡ ΡΠΎΠ·Π΄Π°Π½ΠΈΡ ΡΠΊΠ°Π½Π΅ΠΈΠ½ΠΆΠ΅Π½Π΅ΡΠ½ΡΡ
ΠΊΠΎΠ½ΡΡΡΡΠΊΡΠΈΠΉ Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ ΠΌΠ°ΡΡΠΈΡ ΠΈΠ· ΠΊΠΎΡΡΠ½ΠΎΠΉ ΡΠΊΠ°Π½ΠΈ ΡΠ°Π·Π»ΠΈΡΠ½ΠΎΠΉ ΡΡΡΡΠΊΡΡΡΡ. ΠΠ°ΠΈΠ»ΡΡΡΠΈΠΌ ΠΎΠ±ΡΠ°Π·ΠΎΠΌ Π΄Π»Ρ ΡΡΠΎΠΉ ΡΠ΅Π»ΠΈ ΠΏΠΎΠ΄Ρ
ΠΎΠ΄ΡΡ Π΄Π΅ΠΏΡΠΎΡΠ΅ΠΈΠ½ΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Π½ΡΠ΅ Π³ΡΠ±ΡΠ°ΡΡΠ΅ ΠΊΠΎΡΡΠ½ΡΠ΅ ΠΌΠ°ΡΡΠΈΡΡ
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