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Article ; Online: Emotions and cognition: Comment on "Physics of mind: Experimental confirmations of theoretical predictions", by Felix Schoeller, Leonid Perlovsky, Dmitry Arseniev.

Ivanov, Sergey

2018 Volume 25, Page(s) 81–82

MeSH term(s)	Cognition ; Emotions ; Physics
Language	English
Publishing date	2018-03-02
Publishing country	Netherlands
Document type	Journal Article ; Comment
ZDB-ID	2148883-6
ISSN	1873-1457 ; 1571-0645
ISSN (online)	1873-1457
ISSN	1571-0645
DOI	10.1016/j.plrev.2018.02.004
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: A study of “The Portrait of F.P. Makerovsky in a Masquerade Costume” by Dmitry Levitsky from the collection of the State Tretyakov Gallery

Nikolay P. Simonenko / Valentin R. Solovey / Kirill V. Shumikhin / Anna A. Lizunova / Stepan V. Lisovskii / Elena A. Liubavskaya / Tatyana V. Seregina / Irina G. Basova / Yulia B. Dyakonova / Tatiana L. Simonenko / Elizaveta P. Simonenko / Ivan A. Volkov / Yulian A. Khalturin / Viktor V. Ivanov

Heritage Science, Vol 8, Iss 1, Pp 1-

2020 Volume 18

Abstract: ... of the painting by Dmitry Levitsky, “The Portrait of F.P. Makerovsky in a Masquerade Costume” (1789, the State ...

Abstract	Abstract This paper reports on activities carried out as part of a pre-conservation studies of the painting by Dmitry Levitsky, “The Portrait of F.P. Makerovsky in a Masquerade Costume” (1789, the State Tretyakov Gallery). Samples were taken and prepared for further study within the following algorithm. Using optical microscopy of cross-sections of the samples taken, structural elements of layered compositions were revealed and external differences between them were established. X-ray fluorescence spectroscopy was used to evaluate the elemental composition of the painting surface and cross-sections of samples. Scanning electron microscopy combined with energy dispersive X-ray spectroscopy was used to clarify the elemental composition of each of the structural elements of the samples taken, their submicro- and microdimensional inclusions, to map the distribution of chemical elements over the studied surface, and to determine the dispersion of organic and inorganic components contained in the material. Micro-FTIR was used to identify functional groups and to determine the main classes of inorganic compounds, as well as binders, used, including in the local analysis of micro-inclusions. The list of specific chemical compounds in the composition of the studied paint layers and grounds, which included an examination of the varnish coating, was determined with micro-Raman spectroscopy using data obtained by the above methods. As a result of the study, complementary information was obtained on the chemical composition of the inorganic components used, of the binder and of the varnish coating, which is required for further conservation of this work of art.
Keywords	Multi-analytical studies ; Micro-analysis ; Material identification ; Conservation ; Painting ; Pigment ; Fine Arts ; N ; Analytical chemistry ; QD71-142
Subject code	540
Language	English
Publishing date	2020-01-01T00:00:00Z
Publisher	SpringerOpen
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article: Blackout and supply chains: Cross-structural ripple effect, performance, resilience and viability impact analysis.

Ivanov, Dmitry

Annals of operations research

2022 , Page(s) 1–17

Abstract: Increased electricity consumption along with the transformations of the energy systems and interruptions in energy supply can lead to a blackout, i.e., the total loss of power in an area (or a set of areas) of a longer duration. This disruption can be ... ...

Abstract	Increased electricity consumption along with the transformations of the energy systems and interruptions in energy supply can lead to a blackout, i.e., the total loss of power in an area (or a set of areas) of a longer duration. This disruption can be fatal for production, logistics, and retail operations. Depending on the scope of the affected areas and the blackout duration, supply chains (SC) can be impacted to different extent. In this study, we perform a simulation analysis using anyLogistix digital SC twin to identify potential impacts of blackouts on SCs for scenarios of different severity. Distinctively, we triangulate the design and evaluation of experiments with consideration of SC performance, resilience, and viability. The results allow for some generalizations. First, we conceptualize blackout as a special case of SC risks which is distinctively characterized by a simultaneous shutdown of several SC processes, disruption propagations (i.e., the ripple effect), and a danger of viability losses for entire ecosystems. Second, we demonstrate how simulation-based methodology can be used to examine and predict the impacts of blackouts, mitigation and recovery strategies. The major observation from the simulation experiments is that the dynamics of the power loss propagation across different regions, the blackout duration, simultaneous unavailability of supply and logistics along with the unpredictable customer behavior might become major factors that determine the blackout impact and influence selection of an appropriate recovery strategy. The outcomes of this research can be used by decision-makers to predict the operative and long-term impacts of blackouts on the SCs and viability and develop mitigation and recovery strategies. The paper is concluded by summarizing the most important insights and outlining future research agenda toward SC viability, reconfigurable SC, multi-structural SC dynamics, intertwined supply networks, and cross-structural ripple effects.
Language	English
Publishing date	2022-06-03
Publishing country	United States
Document type	Journal Article
ISSN	0254-5330
ISSN	0254-5330
DOI	10.1007/s10479-022-04754-9
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Article: Correction to: Viable supply chain model: integrating agility, resilience and sustainability perspectives-lessons from and thinking beyond the COVID-19 pandemic.

Ivanov, Dmitry

Annals of operations research

2021 , Page(s) 1–2

Abstract: This corrects the article DOI: 10.1007/s10479-020-03640-6.]. ...

Abstract	[This corrects the article DOI: 10.1007/s10479-020-03640-6.].
Language	English
Publishing date	2021-07-26
Publishing country	United States
Document type	Published Erratum
ISSN	0254-5330
ISSN	0254-5330
DOI	10.1007/s10479-021-04181-2
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Article: Exiting the COVID-19 pandemic: after-shock risks and avoidance of disruption tails in supply chains.

Ivanov, Dmitry

Annals of operations research

2021 , Page(s) 1–18

Abstract: Entering the COVID-19 pandemic wreaked havoc on supply chains. Reacting to the pandemic and adaptation in the "new normal" have been challenging tasks. Exiting the pandemic can lead to some after-shock effects such as "disruption tails." While the ... ...

Abstract	Entering the COVID-19 pandemic wreaked havoc on supply chains. Reacting to the pandemic and adaptation in the "new normal" have been challenging tasks. Exiting the pandemic can lead to some after-shock effects such as "disruption tails." While the research community has undertaken considerable efforts to predict the pandemic's impacts and examine supply chain adaptive behaviors during the pandemic, little is known about supply chain management in the course of pandemic elimination and post-disruption recovery. If capacity and inventory management are unaware of the after-shock risks, this can result in highly destabilized production-inventory dynamics and decreased performance in the post-disruption period causing product deficits in the markets and high inventory costs in the supply chains. In this paper, we use a discrete-event simulation model to investigate some exit strategies for a supply chain in the context of the COVID-19 pandemic. Our model can inform managers about the existence and risk of disruption tails in their supply chains and guide the selection of post-pandemic recovery strategies. Our results show that supply chains with postponed demand and shutdown capacity during the COVID-19 pandemic are particularly prone to disruption tails. We then developed and examined two strategies to avoid these disruption tails. First, we observed a conjunction of recovery and supply chain coordination which mitigates the impact of disruption tails by demand smoothing over time in the post-disruption period. Second, we found a gradual capacity ramp-up prior to expected peaks of postponed demand to be an effective strategy for disruption tail control.
Language	English
Publishing date	2021-04-05
Publishing country	United States
Document type	Journal Article
ISSN	0254-5330
ISSN	0254-5330
DOI	10.1007/s10479-021-04047-7
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Article ; Online: Atomic force microscopy investigation of DNA denaturation on a highly oriented pyrolytic graphite surface.

Barinov, Nikolay A / Ivanov, Dmitry A / Dubrovin, Evgeniy V / Klinov, Dmitry V

International journal of biological macromolecules

2024 Volume 267, Issue Pt 2, Page(s) 131630

Abstract: Understanding of DNA interaction with carbonaceous surfaces (including graphite, graphene and carbon nanotubes) is important for the development of DNA-based biosensors and other biotechnological devices. Though many issues related to DNA adsorption on ... ...

Abstract	Understanding of DNA interaction with carbonaceous surfaces (including graphite, graphene and carbon nanotubes) is important for the development of DNA-based biosensors and other biotechnological devices. Though many issues related to DNA adsorption on graphitic surfaces have been studied, some important aspects of DNA interaction with graphite remain unclear. In this work, we use atomic force microscopy (AFM) equipped with super-sharp cantilevers to analyze the morphology and conformation of relatively long DNA molecule adsorbed on a highly oriented pyrolytic graphite (HOPG) surface. We have revealed the effect of DNA embedding into an organic monolayer of N,N'-(decane-1,10-diyl)-bis(tetraglycinamide) (GM), which may "freeze" DNA conformation on a HOPG surface during drying. The dependence of the mean squared point-to-point distance on the contour length suggests that DNA adsorbs on a bare HOPG by a "kinetic trapping" mechanism. For the first time, we have estimated the unfolded fraction of DNA upon contact with a HOPG surface (24 ± 5 %). The obtained results represent a novel experimental model for investigation of the conformation and morphology of DNA adsorbed on graphitic surfaces and provide with a new insight into DNA interaction with graphite.
Language	English
Publishing date	2024-04-15
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	282732-3
ISSN	1879-0003 ; 0141-8130
ISSN (online)	1879-0003
ISSN	0141-8130
DOI	10.1016/j.ijbiomac.2024.131630
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Article ; Online: The importance of automating the “Construction” phase of the construction project life cycle

Ivanov Nikolay / Ivanov Dmitry

E3S Web of Conferences, Vol 389, p

2023 Volume 06032

Abstract: Significant innovations in the regulatory framework of the construction industry of the Russian Federation force construction organizations to change their attitude to digital technology in general and automation in particular. The existing objective ... ...

Abstract	Significant innovations in the regulatory framework of the construction industry of the Russian Federation force construction organizations to change their attitude to digital technology in general and automation in particular. The existing objective differences of construction companies, carrying out their activities at different stages of the life cycle of construction products, put them in different initial conditions on the way to solving the problem. In the present study, the authors analyze the level of elaboration of a number of issues that arise at different stages of the construction project life cycle (CPLC). As a result of the analysis, the authors conclude that there is a lack of attention to digitalization at the stage “construction”. In particular, it is noted that little attention is paid to the automation of the management activities of companies at this stage of CPLC lifecycle. The authors analyze possible approaches to the automation of management tasks of a construction organization that directly erects buildings and structures. As a result, key features of approaches to the formation of task complexes for automation for two different groups of departments of the management apparatus of a construction organization are formulated. Based on the results of the study, the authors conclude that in order to ensure the effective functioning of construction companies and organizations the use of digitalization technologies at all stages is mandatory.
Keywords	Environmental sciences ; GE1-350
Subject code	690
Language	English
Publishing date	2023-01-01T00:00:00Z
Publisher	EDP Sciences
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article: Viable supply chain model: integrating agility, resilience and sustainability perspectives-lessons from and thinking beyond the COVID-19 pandemic.

Ivanov, Dmitry

Annals of operations research

2020 , Page(s) 1–21

Abstract: Viability is the ability of a supply chain (SC) to maintain itself and survive in a changing environment through a redesign of structures and replanning of performance with long-term impacts. In this paper, we theorize a new notion-the viable supply ... ...

Abstract	Viability is the ability of a supply chain (SC) to maintain itself and survive in a changing environment through a redesign of structures and replanning of performance with long-term impacts. In this paper, we theorize a new notion-the viable supply chain (VSC). In our approach, viability is considered as an underlying SC property spanning three perspectives, i.e., agility, resilience, and sustainability. The principal ideas of the VSC model are adaptable structural SC designs for supply-demand allocations and, most importantly, establishment and control of adaptive mechanisms for transitions between the structural designs. Further, we demonstrate how the VSC components can be categorized across organizational, informational, process-functional, technological, and financial structures. Moreover, our study offers a VSC framework within an SC ecosystem. We discuss the relations between resilience and viability. Through the lens and guidance of dynamic systems theory, we illustrate the VSC model at the technical level. The VSC model can be of value for decision-makers to design SCs that can react adaptively to both positive changes (i.e., the agility angle) and be able to absorb negative disturbances, recover and survive during short-term disruptions and long-term, global shocks with societal and economical transformations (i.e., the resilience and sustainability angles). The VSC model can help firms in guiding their decisions on recovery and re-building of their SCs after global, long-term crises such as the COVID-19 pandemic. We emphasize that resilience is the central perspective in the VSC guaranteeing viability of the SCs of the future. Emerging directions in VSC research are discussed.
Keywords	covid19
Language	English
Publishing date	2020-05-22
Publishing country	United States
Document type	Journal Article
ISSN	0254-5330
ISSN	0254-5330
DOI	10.1007/s10479-020-03640-6
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Article ; Online: Predicting the impacts of epidemic outbreaks on global supply chains: A simulation-based analysis on the coronavirus outbreak (COVID-19/SARS-CoV-2) case.

Ivanov, Dmitry

Transportation research. Part E, Logistics and transportation review

2020 Volume 136, Page(s) 101922

Abstract: Epidemic outbreaks are a special case of supply chain (SC) risks which is distinctively characterized by a long-term disruption existence, disruption propagations (i.e., the ripple effect), and high uncertainty. We present the results of a simulation ... ...

Abstract	Epidemic outbreaks are a special case of supply chain (SC) risks which is distinctively characterized by a long-term disruption existence, disruption propagations (i.e., the ripple effect), and high uncertainty. We present the results of a simulation study that opens some new research tensions on the impact of COVID-19 (SARS-CoV-2) on the global SCs. First, we articulate the specific features that frame epidemic outbreaks as a unique type of SC disruption risks. Second, we demonstrate how simulation-based methodology can be used to examine and predict the impacts of epidemic outbreaks on the SC performance using the example of coronavirus COVID-19 and anyLogistix simulation and optimization software. We offer an analysis for observing and predicting both short-term and long-term impacts of epidemic outbreaks on the SCs along with managerial insights. A set of sensitivity experiments for different scenarios allows illustrating the model's behavior and its value for decision-makers. The major observation from the simulation experiments is that the timing of the closing and opening of the facilities at different echelons might become a major factor that determines the epidemic outbreak impact on the SC performance rather than an upstream disruption duration or the speed of epidemic propagation. Other important factors are lead-time, speed of epidemic propagation, and the upstream and downstream disruption durations in the SC. The outcomes of this research can be used by decision-makers to predict the operative and long-term impacts of epidemic outbreaks on the SCs and develop pandemic SC plans. Our approach can also help to identify the successful and wrong elements of risk mitigation/preparedness and recovery policies in case of epidemic outbreaks. The paper is concluded by summarizing the most important insights and outlining future research agenda.
Keywords	covid19
Language	English
Publishing date	2020-03-24
Publishing country	Netherlands
Document type	Journal Article
ISSN	1878-5794
ISSN (online)	1878-5794
DOI	10.1016/j.tre.2020.101922
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Book ; Online: Personalized Reinforcement Learning with a Budget of Policies

Ivanov, Dmitry / Ben-Porat, Omer

2024

Abstract: Personalization in machine learning (ML) tailors models' decisions to the individual characteristics of users. While this approach has seen success in areas like recommender systems, its expansion into high-stakes fields such as healthcare and autonomous ...

Abstract	Personalization in machine learning (ML) tailors models' decisions to the individual characteristics of users. While this approach has seen success in areas like recommender systems, its expansion into high-stakes fields such as healthcare and autonomous driving is hindered by the extensive regulatory approval processes involved. To address this challenge, we propose a novel framework termed represented Markov Decision Processes (r-MDPs) that is designed to balance the need for personalization with the regulatory constraints. In an r-MDP, we cater to a diverse user population, each with unique preferences, through interaction with a small set of representative policies. Our objective is twofold: efficiently match each user to an appropriate representative policy and simultaneously optimize these policies to maximize overall social welfare. We develop two deep reinforcement learning algorithms that efficiently solve r-MDPs. These algorithms draw inspiration from the principles of classic K-means clustering and are underpinned by robust theoretical foundations. Our empirical investigations, conducted across a variety of simulated environments, showcase the algorithms' ability to facilitate meaningful personalization even under constrained policy budgets. Furthermore, they demonstrate scalability, efficiently adapting to larger policy budgets. Comment: Accepted to AAAI 2024. Code: https://github.com/dimonenka/RL_policy_budget
Keywords	Computer Science - Machine Learning
Subject code	006
Publishing date	2024-01-12
Publishing country	us
Document type	Book ; Online
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