Dynamic Changes In Environment Research Articles

A Few Philosophical and Psychological Components of Security Management as a Part of Security Culture

The dynamic changes of the security environment currently taking place in the global economy and politics are also seen in the evolution of management theory according to different kinds and dimensions of security culture. Management is a scientific field that draws from and intersects with other branches of science. Its effectiveness is determined by the principles of axiology and the mechanisms governing the human psyche and human behavior. The subject of interest in axiology is the concept of value, its roles in our lives and the division of values concerning specific scientific trends. Psychology additionally addresses people and studies the impact of psychological phenomena on interpersonal relations and interaction with the surrounding world. Both areas of science occupy a prominent place in the management process and security culture is often treated as a process too. Their use in management is a balance between economic and social values – and because of that – receiving security is the most important value for the existence of man. To achieve this, managers need to build a lasting value system. This study aims to inspire security managers to apply ethical and psychological knowledge more widely in their practice. Achieving certain goals without taking into account human values, needs, and behaviors seems almost impossible today. It is also an expression of the values recognized by the leaders or commanders, their beliefs, and their attitudes toward other people and themselves.

Methodological research of financial sector digital transformation trends in banking

The article analyzes the current problems of the financial sector within the framework digital transformation and the gradual transition to digital service financial transactions. The object of research is the Ukrainian financial banking sector, the peculiarities of which functioning at this stage crisis economy Ukraine require finding adaptation ways for the introduction digital transformation procedures. The subject is financial relations in the digital adaptation sphere and innovative development banking through the prism involvement of tools and information technologies in financial system, in general, and financial operations and procedures, in particular. The problems domestic financial sector transformation became more acute in connection with the mass transition to remote channels interaction with clients, first due to the restrictions that were applied as a result the COVID-19 pandemic, and then due to the armed aggression of russia to Ukraine. The research methodology is based on a comprehensive assessment dynamic changes in the financial environment and the creation a basis for modeling predictive scenarios and strategies based on the study existing situation, theoretical basis development and financial and banking sector development directions for effective interaction in Ukrainian economy conditions. The Ukrainian banking system trends changes are outlined. The peculiarities of the international development financial and banking sphere are defined, a comparison with the world experience is outlined, analytical studies best global cases are carried out for the possibility introducing the results to the Ukrainian financial space. The research results about digital capabilities banking sphere in Ukraine are presented, the essential content banking, the properties system, the peculiarities building a banking digital architecture and architectonics through the prism of components and tools for a banking strategy model are presented. Attention is paid to the innovative development of the banking sector and directions for attracting investment resources. Procedures for creating digital opportunities transition financial sector and reengineering business processes for companies when transitioning to a digital format commercial activity have been worked out, that will be of theoretical and applied importance for further research by scientists from different countries. The authors offer recommendations to solving the digitization problems of the Ukrainian financial sector. The research results of the digital transformation direction in banking sector are presented for further use in modeling Ukrainian`s business post-war recovery scenarios.

Influence of Dynamic Viscosity of a Lubricant Material on the Parameters of Adhesion Bond in the Systems of Materials "12KH2H4 - STEEL 45", "45KHN2MFA - Steel 45" when Boring and Borocement Steel 45

In this work, the regularities of the change in the shear strength of the adhesive bond τ0 and the piezoelectric coefficient β in the metal systems "12Kh2N4 (45KhN2MFA) - steel 45 + B", "12Kh2N4 (45KhN2MFA) - steel 45 + VS" were obtained during physical modeling of the shear of surfaces of small-sized samples and changes in dynamic viscosity environment of their interaction with the use of additional equipment of the SMTs-2 friction machine. It has been established that borating and boron carburizing of the surface of steel 45 leads to the absence of adhesion to the surfaces of steels 12Kh2N4 and 45KhN2MFA in certain ranges of normal pressures, at which τ0> 0 and the dynamic viscosity of liquid and grease. It was found that the parameter τ0 when lubricating surfaces is determined to a greater extent for the system "12X2H4 - steel 45", and partially for borating steel 45 and low values of dynamic viscosity μ = 0.027 Pa•s. With an increase in the dynamic viscosity of the liquid phase of the lubricant in the "12X2H4 - steel 45" system, there is a tendency to an increase in the value of τ0. It was found that the absence of modification of steel 45 with boron and boron carbide predetermines the independence of the piezoelectric coefficient from the viscosity of the liquid lubricant and the shear rate. Boring and boron carburizing steel 45 predetermines an increase in the piezoelectric coefficient by an average of 1.6 times with an increase in dynamic viscosity from 0.027 Pa•s to 0.19 Pa•s at a shear rate of 10.16±0.8. At shear rate = 5.08±0.6 mm/s, the piezoelectric coefficient is relatively constant in the systems under study. With the transition to contact through a grease lubricant, there is an ambiguous manifestation of the rate of change of the piezoelectric coefficient.

β-cell function is regulated by metabolic and epigenetic programming of islet-associated macrophages, involving Axl, Mertk, and TGFβ receptor signaling

We have exploited islet-associated macrophages (IAMs) as a model of resident macrophage function, focusing on more physiological conditions than the commonly used extremes of M1 (inflammation) versus M2 (tissue remodeling) polarization. Under steady state, murine IAMs are metabolically poised between aerobic glycolysis and oxidative phosphorylation, and thereby exert a brake on glucose-stimulated insulin secretion (GSIS). This is underpinned by epigenetic remodeling via the metabolically regulated histone demethylase Kdm5a. Conversely, GSIS is enhanced by engaging Axl receptors on IAMs, or by augmenting their oxidation of glucose. Following high-fat feeding, efferocytosis is stimulated in IAMs in conjunction with Mertk and TGFβ receptor signaling. This impairs GSIS and potentially contributes to β-cell failure in pre-diabetes. Thus, IAMs serve as relays in many more settings than currently appreciated, fine-tuning insulin secretion in response to dynamic changes in the external environment. Intervening in this nexus might represent a means of preserving β-cell function during metabolic disease.

YNAMIC VISCOSITY OF THE LUBRICANT AND ITS EFFECT ON STEEL MATERIALS WITH BORON

In this work, the regularities of the change in the shear strength of the adhesive bond τ0and the piezoelectric coefficient β in the metal systems "12Kh2N4 (45KhN2MFA) -steel 45 + B", "12Kh2N4 (45KhN2MFA) -steel 45 + VS" were obtained during physical modeling of the shear of surfaces of small-sized samples and changes in dynamic viscosity environment of their interaction with the use of additional equipment of the SMTs-2 friction machine. It has been established that boridingand boron carburizing of the surface of steel 45 leads to the absence of adhesion to the surfaces of steels 12Kh2N4 and 45KhN2MFA in certain ranges of normal pressures, at which τ0> 0 and the dynamic viscosity of liquid and grease. It was found that the parameter τ0when lubricating surfaces is determined to a greater extent for the system "12X2H4 -steel 45", and partially for borating steel 45 and low values of dynamic viscosity μ = 0.027 Pa•s. With an increase in the dynamic viscosity of the liquid phase of the lubricant in the "12X2H4 -steel 45" system, there is a tendency to an increase inthe value of τ0. It was found that the absence of modification of steel 45 with boron and boron carbide predetermines the independence of the piezoelectric coefficient from the viscosity of the liquid lubricant and the shear rate. Вoridingand boron carburizing steel 45 predetermines an increase in the piezoelectric coefficient by an average of 1.6 times with an increase in dynamic viscosity from 0.027 Pa•s to 0.19 Pa•s at a shear rate of 10.16±0.8. At shear rate = 5.08±0.6 mm/s, the piezoelectric coefficient is relatively constant in the systems under study. With the transition to contact through a grease lubricant, there is an ambiguous manifestation of the rate of change of the piezoelectric coefficient

Supply chain resilience and performance of manufacturing firms: role of supply chain disruption

PurposeThe current study sought to investigate the moderating effect of supply chain disruptions (SCD) (supply chain – supply disruption, catastrophic disruption and infrastructure disruption) on the relationship between supply chain resilience (SCR) and supply chain performance (SCP) of manufacturing firms in Ghana.Design/methodology/approachThe quantitative research approach and explanatory research designs were utilised. A sample of 345 manufacturing firms were drawn from a population of 2,495 manufacturing firms in the Accra metropolis. The Partial Least Squares Structural Equation Modelling (PLS-SEM) was employed to accomplish the research objectives.FindingsFirst, the study revealed that SCR has a significant positive effect on SCP. Second, the authors found reasonable evidence to support that SCD have a significant positive moderating effect on the relationship between SCR and SCP, except for supply chain catastrophic disruption which had a negative impact. It can be concluded that the components of SCD have heterogeneous impact in the SCR and SCP nexus.Research limitations/implicationsThe study is limited to manufacturing firms in Ghana and does not make a distinction among resilience strategies.Practical implicationsIncreased SCR boost manufacturing companies' supply chains' performance and aid to lessen the adverse effects of SCD relating to infrastructure and supply. It implies that supply chain managers are able to reduce the effects of infrastructure and supply disruptions. Also, techniques that reduce the adverse impact of SCD relating to catastrophe would be beneficial for supply chain managers in Ghana and other countries with comparable economic environments.Originality/valueThe study provides a unique contribution on the moderating role of the dimensions of SCD (supply, infrastructure and catastrophic) on the nexus between SCR and SCP in a developing economy context in a dynamic changing environment. Policymakers would get better insights into instituting the required policies needed to revamp firms with weak supply chains as a result of supply chain disruption.

Tumor immune microenvironment changes are associated with response to neoadjuvant chemotherapy and long-term survival benefits in advanced epithelial ovarian cancer: A pilot study.

Little is known about the association between efficacy of neoadjuvant chemotherapy (NACT)/survival and the dynamic change of tumor immune environment (TIME) during treatment in epithelial ovarian cancer (EOC). This study investigated the TIME landscape of treatment-naive EOC tumors using multiplex immunofluorescence and associated the TIME before and after platinum-based NACT with treatment efficacy and prognosis in 33 patients with advanced EOC. NACT significantly increased the density of CD8+ T cells (P = 0.033), CD20+ B cells (P = 0.023), CD56 NK cells (P = 0.041), PD-1+ cells (P = 0.042), and PD-L1+CD68+ macrophages (P = 0.005) in the tissue specimens. Response to NACT was evaluated using CA125 response and chemotherapy response score (CRS). Compared with the non-responders, the responders displayed a larger proportion of tumors showing increase in the infiltration of CD20+ cells (P = 0.046) and in the M1/M2 ratio (P = 0.038) as well as fewer tumors showing increase in the infiltration of CD56bright cells (P = 0.041). No association was found between pre-NACT TIME and response to NACT. Density of pre-NACT CD8+ cells was positively associated with longer progression-free survival (PFS) (P = 0.011) and overall survival (OS) (P = 0.048). Post-NACT CD20+ and CD163+ macrophages (M2) infiltrates were associated with prolonged (P = 0.005) and shortened PFS (P = 0.021), respectively. Increase in the density of CD4+ T cells was predictive for longer PFS (P = 0.022) and OS (P = 0.023). In the multivariate analysis, high density of CD8+ cells pre-NACT (P = 0.042) were independently associated with improved OS.

Understanding the role of organizational agility in the context of digital transformation: an integrative literature review

Purpose The purpose of this paper is to clarify the conceptual confusion in the extant literature about organizational agility and explore its role in different relationships in the context of digital transformation. Design/methodology/approach An integrative review of the relevant literature on agility was conducted. The literature on organizational agility and other variables in recent quantitative research was also examined to explore its role in different relationships. Findings Organizational agility is the ability to quickly respond and proactively embrace unanticipated changes in dynamic environments through effective resource reconfiguration and rapid decision-making. The role of organizational agility in achieving digital transformation has not been addressed from a holistic conceptual perspective. This paper addresses that gap and proposes that organizational agility is the underlying mechanism for an organization to fully use and engage its workforce, operation and network in the process of digital transformation. Research limitations/implications This research is an integrative review of the existing literature on the concept of agility and its relationships. The next phase of research needed for theory building will be the operationalization of constructs. Practical implications Organizations should strive to strategically develop both the reactivity and proactivity sides of organizational agility in achieving digital transformation that involves fundamental changes at different levels of the organization. Originality This paper explores the role of organizational agility in digital transformation through an integrative review of the relevant literature.

ICT Adoption for Sustainable Logistics Development in the HoReCa and Wholesale Sectors

Applying Information and communication technologies (ICT) tools is crucial for businesses to stay competitive and sustainable. The aim of this study is to investigate the attitudes of the Hotel, Restaurant, and Catering sector (HoReCa) and wholesale companies towards using ICT tools to improve B2B communication and drive sustainable development. Through in-depth interviews with representatives from twenty HoReCa firms and seven wholesale suppliers, the ICT tool was found to be well received and could potentially improve the efficiency and sustainability of their cooperation. The hypothesis states that these sectors have significant potential to adopt novel tools to improve communication channels and make their logistics operations more sustainable. As part of the Incubator of Innovation 4.0 project grant at Gdynia Maritime University, a mobile application was developed to support the development of sustainable supply chains that minimize environmental impact, support long-term economic viability, and improve warehouse management and distribution channels for services and goods. This tool could facilitate the streamlining of processes and enable stakeholders to adapt to dynamic changes in the socio-economic environment, ultimately leading to more efficient and flexible operations.

ENSURING THE FORMATION OF CONTROL ACTIONS FOR COMPUTER NODE CONTROL ON THE BASIS OF STOCHASTIC APPROXIMATION PROJECTION ALGORITHMS

In practice, critical tasks require prompt management decisions using computer systems. Computer systems provide a flexible response to a variety of possible changes in the external environment, including, subject to an increase in the scope of information required for processing. Dynamic changes in the external environment necessitate rapid changes in industrial enterprises. These internal changes should be developed in concert with external ones, and, in most cases, they can be significant and abrupt. The active use of computer systems creates a lot of risks associated with cyber attacks. These risks are related to business processes based on the use of automated computer systems. The significance of the problem of managing computer nodes is actually obvious, since the implementation of the planned modifications of the computer infrastructure in practice allows to perform a variety of previously unattainable, fundamentally new steps in order to ensure the development of the infrastructure itself. Practical measures for computer infrastructure operation demonstrate that the constant provision of information and communication complexes and systems requires, first of all, a continuous analysis of the existing infrastructure and its subsequent adjustment. Therefore, within the framework of this publication, the provision of development measures offor computer node control based on projection algorithms of stochastic approximation is considered. The operation of computer nodes, taking into account their management using recurrent stochastic optimization algorithms, makes it possible to implement changes in the existing relationships in the computerized infrastructure field, which will provide development opportunity for organizations based on such infrastructures.

An Obstacle-Avoidance Motion Planning Method for Redundant Space Robot via Reinforcement Learning

On-orbit operation tasks require the space robot to work in an unstructured dynamic environment, where the end-effector’s trajectory and obstacle avoidance need to be guaranteed simultaneously. To ensure the completability and safety of the tasks, this paper proposes a new obstacle-avoidance motion planning method for redundant space robots via reinforcement learning (RL). First, the motion planning framework, which combines RL with the null-space motion for redundant space robots, is proposed according to the decomposition of joint motion. Second, the RL model for null-space obstacle avoidance is constructed, where the RL agent’s state and reward function are defined independent of the specific information of obstacles so that it can adapt to dynamic environmental changes. Finally, a curriculum learning-based training strategy for RL agents is designed to improve sample efficiency, training stability, and obstacle-avoidance performance. The simulation shows that the proposed method realizes reactive obstacle avoidance while maintaining the end-effector’s predetermined trajectory, as well as the adaptability to unstructured dynamic environments and robustness to the space robot’s dynamic parameters.

The Effect of Dynamic Capability On New Established Company’s Performance: Mediating Role of Entrepreneurial Creativity

A firm performance resulting from dynamic capability empowerment maintains the survival of newly established companies and established companies amid intense competition and environmental changes. This study aimed to examine the effect of dynamic capability empowerment in newly established companies on a firm performance mediated by entrepreneurial creativity. Online survey data were collected from 143 newly established shipping agency companies in 22 Indonesian provinces as member of Indonesia shipping agency association. The data were analyzed using WarpPLS 7.0, and analysis unit was organization represented by managing director. The results showed that dynamic capability empowerment in newly established companies that emphasize learning capability affect a firm performance with a low significance. Furthermore, dynamic capability empowerment inicreases the firm performance when mediated by entrepreneurial creativity. This results indicate that newly established companies will achieve higher performance by empowering their dynamic capabilities that emphasize learning capability if it is followed an entrepreneurial creativity breakthrough. The increased performance helps the firm respon to tough competition and unpredictable dynamic environmental changes. The theoretical implication of this study is enriched empirical evidence in examining the relationship between dynamic capability and firm performance. The practical implication of this study is that when a newly established company that limited resources and limited access external resources improves its performance by empowering dynamic capability if it is followed an entrepreneurial creativity breakthrough. This study contributed a new empirical finding to the theory of dynamic capability in newly established companies as the previous studies with this focus are hard to find.

Study of the spatial and temporal distributions of tidal flat surface sediment based on multitemporal remote sensing

IntroductionThe ecological environment of tidal flats often changes due to tidal erosion and sedimentation. The distribution of tidal flat surface sediment is a natural reflection of the changes in the external dynamic environment, the spatial and temporal distribution pattern is of great significance.MethodsIn this study, the output structure of traditional convolutional neural network is combined with BP neural network. Meanwhile, four phases of Sentinel-2 multispectral images were collected and combined with field data from the Doulonggang tidal flat in Jiangsu Province, China, to construct the sediment composition inversion model.ResultsThe inversion accuracy was higher than 80% compared with the measured results. According to the inversion result, from 2017 to 2022, the surface sediment particle size of the tidal flat in Jiangsu varied seasonally and was coarse in summer and fine in winter. Additionally, the sediment composition tended to coarsen, showing an interannual change trend of increasing sand content and decreasing clay and silt contents.DiscussionThe above change of the sedimentary environment of the tidal flat may be caused by the decrease of fine grained sediment deposition, the introduction of exotic vegetation, the global sea level rise and the influence of human activities.

Evaluation of urban resilience level and analysis of obstacle factors: A case study of Hunan Province, China

Resilient city is an ideal goal and model of urban development proposed in response to today’s complex and dynamic environmental changes. In this study, a resilient city evaluation framework of “social resilience-economic resilience-urban infrastructure and service-urban governance” was built upon the multi-dimensionality of the urban system; the entropy weight method was used to measure the level of urban resilience in Hunan Province while an obstacle degree model was used to identify any obstacle factor restricting to the development of resilience. The results show that the level of urban resilience in Hunan Province has grown slowly over the past 10 years, and there is an obvious regional difference in it. There are more and more highly resilient cities, but medium/low-resilience cities still dominate the province, forming a spatial process of evolution from “medium/high-level dispersion” to “medium/high-level aggregation” in the Changsha-Zhuzhou-Xiangtan Urban Agglomeration. The level of urban resilience is predominantly hindered by the social and economic systems; at the index layer, most obstacle factors are moving from the economic system to the social-economic-urban infrastructure and service system.

A multiple long short-term model for product sales forecasting based on stage future vision with prior knowledge

Deep neural network (DNN) based multivariate time series (MTS) forecasting has been widely studied in many domains. The approach has also been successfully applied to product sales forecasting, which is invaluable in the strategic development of enterprises. However, one key challenge is to efficiently combine all influential factors into a unified framework by considering their long short-term correlations. This is particularly challenging for real time sales predictions with many important features unknown from the perspective of future vision, because of the complex and dynamic changing environment of sales time series. Besides, DNN based methods could not effectively capture stable linear correlations between multivariate sales time series. To address these challenges, a novel Stage future-vision-based multiple Long Short-term model with prior knowledge (SLST-PKNet) is proposed. The model constructs sub-models according to the types of different influential factors, and a stage future vision mechanism is used to model dependent correlations between future influential factors and product sales by combining a two-layer convolutional neural network (TLCNN) and a two-stage LSTM (TSLSTM) into a unified framework. The combination of TLCNN and TSLSTM is the basic component for long short-term modeling, and is an effective solution for capturing dynamic patterns by fusing the outputs from different layers and stages. A dynamic co-integration mechanism (DCI) is introduced to capture strong correlations between time series, which DNN is not good at. In order to further improve the capability of the model to capture long short-term patterns from complex environment, domain prior knowledge (PK) is integrated as supervision information. Extensive experiments are conducted on two sales datasets: Galanz and Cainiao. SLST-PKNet achieves significant performance improvements over 11 state-of-the-art baselines. The proposed model is also evaluated on two new datasets: Traffic and Exchange-Rate, to further verify its generalization capability. The data and code could be visited at: https://github.com/lixt47/SLST-PKNet.

Metabolic Sensing of Extracytoplasmic Copper Availability via Translational Control by a Nascent Exported Protein.

Metabolic sensing is a crucial prerequisite for cells to adjust their physiology to rapidly changing environments. In bacteria, the response to intra- and extracellular ligands is primarily controlled by transcriptional regulators, which activate or repress gene expression to ensure metabolic acclimation. Translational control, such as ribosomal stalling, can also contribute to cellular acclimation and has been shown to mediate responses to changing intracellular molecules. In the current study, we demonstrate that the cotranslational export of the Rhodobacter capsulatus protein CutF regulates the translation of the downstream cutO-encoded multicopper oxidase CutO in response to extracellular copper (Cu). Our data show that CutF, acting as a Cu sensor, is cotranslationally exported by the signal recognition particle pathway. The binding of Cu to the periplasmically exposed Cu-binding motif of CutF delays its cotranslational export via its C-terminal ribosome stalling-like motif. This allows for the unfolding of an mRNA stem-loop sequence that shields the ribosome-binding site of cutO, which favors its subsequent translation. Bioinformatic analyses reveal that CutF-like proteins are widely distributed in bacteria and are often located upstream of genes involved in transition metal homeostasis. Our overall findings illustrate a highly conserved control mechanism using the cotranslational export of a protein acting as a sensor to integrate the changing availability of extracellular nutrients into metabolic acclimation. IMPORTANCE Metabolite sensing is a fundamental biological process, and the perception of dynamic changes in the extracellular environment is of paramount importance for the survival of organisms. Bacteria usually adjust their metabolisms to changing environments via transcriptional regulation. Here, using Rhodobacter capsulatus, we describe an alternative translational mechanism that controls the bacterial response to the presence of copper, a toxic micronutrient. This mechanism involves a cotranslationally secreted protein that, in the presence of copper, undergoes a process resembling ribosomal stalling. This allows for the unfolding of a downstream mRNA stem-loop and enables the translation of the adjacent Cu-detoxifying multicopper oxidase. Bioinformatic analyses reveal that such proteins are widespread, suggesting that metabolic sensing using ribosome-arrested nascent secreted proteins acting as sensors may be a common strategy for the integration of environmental signals into metabolic adaptations.

Integrated Evacuation and Rescue Management System in Response to Fire Incidents

Indoor evacuation and rescue systems are necessary for responding to unexpected events. In the event of fire incidents, finding a proper evacuation route planning for impacted people as an immediate response and a real-time rescue planning for the trapped people is challenging. Several approaches are developed to provide an evacuation or rescue system by integrating building data and BIM models. However, none of them took the issues of both evacuation and rescue into account, and the provided solutions are not properly aware of dynamic environmental change variables derived from remotely sensed data. In this research, an evacuation and rescue management system is designed based on the integration of dynamic data of fire progress, people status, and routing data. This system consists of two stages: dynamic evacuation and dynamic rescue with priority assessment. First, the environmental data is gathered and integrated with the static building data. Then, leveraging a risk assessment method, the level of rout safety is evaluated and a dynamic risk-aware rout planning is generated for each person to evacuate safely and fast. Finally, in the rescue stage, rescuers are assigned to the trapped people using a priority assessment method so that the success rate of rescue operation increases. The same rout risk assessment is used to develop route planning for rescue team to ensure their safety. A system framework and architecture is proposed as a reference for emergency response systems and the system is evaluated over two state of art baselines under several scenarios in AnyLogic. The results demonstrates that dynamic evacuation and rescue with priority assessment approach helps to save more people, reduce total time, lower the risk of human injury and efficiently assigns relief resources to the trapped users.

A Dynamic Scheduling Framework for Byproduct Gas System Combining Expert Knowledge and Production Plan

Effective scheduling for byproduct gas systems of steel industry is becoming increasingly vital for maintaining their safe operating and improving energy utilization. Considering that the existing studies failed to capture the dynamic changes in the production environment, a novel dynamic scheduling framework is proposed that seamingly integrates expert knowledge with a dynamic programming process. Given the phase characteristics of the steelmaking processes, data series are first partitioned into information granules based on the production plan to form the knowledge-based initial policies. To achieve dynamic scheduling process, a two-stage value function approximation method is proposed, where in the first stage one learns an event-driven Q-function by the fuzzy rule-based states, and then an action fitting strategy is developed for evaluating continuous actions. Considering the difficulties of establishing a mechanism-based model, the state transition process is described by a granular prediction model to simulate taking actions. On their basis, a dynamic compensation for the initial policies is finally achieved. A number of comparative experiments are conducted by utilizing the practical data coming from a steel plant. The results show that the proposed method can deliver effective solutions for long-term scheduling scenarios. Note to Practitioners—Given that the steelmaking process is a discontinuous one and the byproduct gas system can hardly be described by a physical or mechanism-based model, its energy scheduling works is usually performed by manual approach or using static optimization methods, which would lead to low accuracy and a waste of energy. Since a large number of real-time data had been accumulated by the SCADA system implemented in most steel plants, a data-driven dynamic scheduling approach is proposed in this study. The proposed method takes advantages of the expert knowledge and production plan data, and produces dynamic scheduling solutions by utilizing an actor-critic learning process. The application system on the basis of the proposed method can adapt to different scenarios and ensure long-term safety operations of the gas tanks. Furthermore, since there may be missing data or outliners in the acquired data collected by the SCADA onsite, it is necessary to perform data imputation and filtering methods to guarantee the data integrity and reliability. This study avoids the redundant introduction of such preliminary preprocessing methods for the sample data.

Modeling of strategic management of business processes of production and entrepreneurial structures

The article substantiates the theoretical and methodological provisions and develops practical recommendations for modeling the strategic management of business processes of production and business structures. The necessity of reformatting the structure and content of the system of strategic management of business processes of industrial enterprises is proved. The key principles of the system of strategic management of business processes of industrial enterprises are offered. The concept of business process management of industrial enterprises has been formed, emphasizing that effective business process management involves their improvement and optimization. It is proved that the optimization of business processes is a necessary tool to ensure the efficiency of enterprises in modern conditions. It is proved that in order to make effective management decisions it is advisable to use process and project approaches. As part of the process approach, it is proposed to use the Workflow method, which involves approaches to accelerate adaptation and optimization, and reduce the response time of the enterprise to dynamic changes in the business environment. As part of the concept, a mathematical model was developed that characterizes the system of distribution of manufactured products for sale in domestic and foreign markets. It is determined that the task of optimization is to calculate the specific volumes of products that need to be sold in each of the markets. The main results of effective implementation of strategic management of business processes of industrial enterprises are highlighted. The proposed developments will help improve the quality of products and services of enterprises in order to fully meet the requirements of consumers.

Методика оценивания оперативности информационного обеспечения автоматизированных систем предупреждения об опасных ситуациях в околоземном космическом пространстве

This article presents the structure and content of the main stages of the methodology for assessing the efficiency of information support for automated warning systems about dangerous situations in near-Earth outer space when observing space objects in high orbits by optical means of observing outer space with the use of a software and hardware information collection complex. Problem statement: development of a technique for detecting deviations of space objects from the calculated orbits of their movement by ground-based means of observing outer space, taking into account various options for constructing orbital groupings and a network of ground-based optical means of observation. Results: A methodology has been developed for assessing the efficiency of information support for automated warning systems about dangerous situations in near-Earth outer space, taking into account various ways of organizing an information support system and allowing dynamically evaluating the efficiency of detecting deviations of space objects from calculated orbits. Practical significance: the proposed methodology makes it possible to identify optimal ways of organizing information support for automated warning systems about dangerous situations in near-Earth outer space based on an assessment of the efficiency of detecting deviations of space objects from calculated orbits with dynamic changes in the space environment and the state of operation of space surveillance facilities and to form recommendations for improving information support for automated warning systems about dangerous situations in near-Earth outer space. Discussion: the novelty of the proposed formulation of the problem lies in the fact that the structure of the developed methodology allows us to take into account various ways of organizing the information support system and to build probabilistic estimates of the efficiency of its functioning on the basis of dynamic changes in the space situation and the state of ground-based means of observing outer space.