Intensive Resources Research Articles

The Impact of Positivity in Multi Business Model Innovation in a World of VUCA – How Can Positive Emotions Stimulate the MBMI Process?

The importance of right speed, effectiveness, efficiency and learning in Multi Business Model Innovation (MBMI) is vital to meet today’s Volatile, Uncertainty, Complex and Ambiguous (VUCA) challenges to survive as a Business in Business Model EcosystemS (BMES). Coronavirus pandemic, war in Ukraine, volatile global material and resource prices and deliveries, cyberattacks make big external VUCA events to Businesses. VUCA can also come from the inside of the Business as management style change, interventions or a burn down of the Business. How can Businesses under these VUCA conditions still do high quality MBMI? How can MBMI participants and teams in these processes increase their MBMI output? This paper investigates the impact of positive emotions, relatedness and creativity on the outcome of three different MBMI processes in three different Business Model Ecosystems influenced by VUCA. Positivity, relatedness and creativity are hypothesized as components to strengthen the individuals’ search for meaning in VUCA and for their motivation to act in MBMI processes influenced by VUCA. The study is conducted as a mix method research project in the view of MBMI and psychological theory – particularly the concept of positive emotions and relatedness as mental states for learning and knowledge creation. Interviews and observations show that individuals in networks and teams with a mood of positivity strengthen MBMI and the MBMI learning and creation process. Thus, our intention for further research is twofold: Training in positivity in teams can stimulate the courage to make disruptive solutions sufficient for VUCA. Secondly, in searching for the MBMI mindset psychological traits will be studied by the Big Five profile test. This opens for recruitment of participants to optimizing MBMI teams. Main contributions are: • Positive emotions and relatedness strengthen the urge to learn and to create in VUCA – searching for meaning and motivation to act is related to this concept. • Learning and creative processes increase, since the basis of positivity and relatedness in individuals, teams and networks are strengthened. • Innovative outcome seems of a higher quality when based on positive emotions. Research in positive emotions in Business Model Innovation is rare. • Positive emotion is the core concept and by training of positivity, it may strengthen the MBMI processes and the VUCA competences. • The outcomes and solution of the MBMI processes in the case study show mainly incremental and radical MBMI – only one is disruptive.

ASSESSMENT OF THE QUALITY OF LAND IN THE SARATOV TRANS-VOLGA REGION WHEN INVOLVING UNUSED ARABLE LAND IN PRODUCTION

ASSESSMENT OF THE QUALITY OF LAND IN THE SARATOV TRANS-VOLGA REGION WHEN INVOLVING UNUSED ARABLE LAND IN PRODUCTION

Criterion of construction and strategy of functioning of information and telecommunication system with protection against destructive effects

The creation of information and telecommunication systems with the integration of information transmission, reception and processing functions determines the need to find technical solutions to ensure its security and protection while increasing the intensity of information processes, improving technologies for unauthorized access to information areas and creating destructive effects. Joint fulfillment of requirements for information security and maintaining operational properties of the system, which regulate efficiency, efficiency and resource intensity of information exchange, is achieved in accordance with a minimum-margin rule, the essence of which is to find the maximum possible information losses and determine a strategy for achieving minimum values of these losses. Within the framework of the used approach, the best solution is to establish a set of parameters of transmitting and receiving devices and information processing means with the lowest loss value of the target function of information exchange under the most dangerous and effective destructive effects. Goal – justification of the criterion for construction and strategy of functioning of the information and telecommunication system with protection against destructive effects. The criterion of construction and strategy of operation of the information and telecommunication system are justified in order to achieve the best probabilistic-time indicators of information exchange with a balanced set of measures to ensure security and information protection in case of destructive impacts. Due to the variety and variability of the conditions for the manifestation of destabilizing factors, the parameters and reconfiguration schemes of telecommunication channels, as well as the operating modes of information processing devices, were established while achieving the effectiveness of meeting the information needs of subscribers according to the optimality criterion and setting indicators of the efficiency and resource consumption of the system according to the suitability criterion. Possibilities and options for adaptive, situational and reflective control of the information and telecommunication system in the interests of rational distribution of the information resource to achieve target functions and the use of technologies for ensuring security and protecting information from destructive influences are investigated. Automatic control of the system is at the stage of prohibiting destructive effects on the information area by maintaining components in states that most fully correspond to the goals and objectives of information exchange. Situational control of information security during transmission and reception, used, as a rule, at an early stage of implementation of the conflict component in the information process, is based on the identification of destabilizing factors based on the results of classification of current states and neutralization of threats due to the restructuring of the system operation regulations carried out. Reflexive control, the strategy of which is based on prediction and evaluation of changes in the parameters of information processes under destructive effects, is in the form of transferring components of the information and telecommunication system to the state of its own information equilibrium, which helps to maximize the target function of information exchange while minimizing the performance indicators of destructive effects carried out. Due to the expediency of consistent implementation of the above control strategies in assessing the degree of occurrence of threats to the information process, the vector of parameters of information objects and telecommunication channels must from the conditions for neutralizing the full set of predicted destabilizing factors be determined. A reasonable criterion for building an information and telecommunication system makes it possible to jointly search for technical solutions for creating receiving and transmitting devices and information processing means in order to achieve maximum performance indicators of information exchange under established limitations of efficiency and resource intensity. The developed rule for selecting the strategy for controlling components of the information and telecommunication system establishes time-frequency and space-energy distributions of information processes necessary to meet the information needs of subscribers when transmitting, receiving and processing information in different conditions for the manifestation of destructive threats. The obtained results form a methodological basis for building information and telecommunication systems with protection of information coming through their channels with increasing requirements for target functions of information exchange and strengthening system restrictions due to improvement of technologies for unauthorized access to information areas and creation of destructive effects.

Techno-economic analysis of chemical looping processes with biomass resources for energy production and CO2 utilization. Comparison of CLC and CLOU technologies

Bioenergy coupled with carbon capture utilization and storage (BECCUS) is an attractive greenhouse gas mitigation technology that can produce negative CO2 emissions by combining bioenergy resources with the utilization or geological storage of the captured CO2.The main objective of this work was to evaluate the technical and economic feasibility of two BECCUS technologies based on chemical looping concept with two biomass waste as fuels, i.e., swine manure and pine sawdust, for the production of thermal energy and a pure CO2 stream that is subsequently used as raw material in agricultural greenhouses. Direct use of solid biomass resources was considered for the Chemical Looping with Oxygen Uncoupling option, whereas biogas production was the starting point for Chemical Looping Combustion.The profitability of the chemical looping scenarios was assessed through the Levelized Cost of CO2. This parameter was estimated at 218.31 €/t CO2 for the Chemical Looping Combustion scenario, a value much higher than those for the Chemical Looping with Oxygen Uncoupling scenarios (73.04–87.32 €/t CO2) due to the limited conversion degree of the carbon present in the fuel waste to biogas and the need for an additional experimental plant to the Chemical Looping Combustion unit, i.e., the biogas production plant. Comparing the Chemical Looping with Oxygen Uncoupling scenarios, the economic analysis revealed that the profitability of the biomass-fueled chemical looping facility was markedly sensitive to the selling price of the biomass resource. Furthermore, the values of the Levelized Cost of CO2 parameter for the Chemical Looping with Oxygen Uncoupling scenarios were lower than those estimated in other research studies that implemented BECCUS technologies and utilized the captured CO2 for identical purposes. In the particular case of swine manure, this result becomes even more noteworthy since it demonstrates that the energy use of this biomass resource through Chemical Looping with Oxygen Uncoupling technology is an economically profitable and environmentally sustainable solution to the difficult challenge of managing this livestock waste. Therefore, it can be concluded that Chemical Looping with Oxygen Uncoupling processes fed with biomass are a very attractive BECCUS technology for heat generation where, in addition, the pure CO2 stream obtained at the outlet of the fuel reactor can be considered a marketable, high value-added product.

A Strongly Group Strategyproof and Shill Resistant Bargaining Mechanism for Fog Resource Pricing

A Strongly Group Strategyproof and Shill Resistant Bargaining Mechanism for Fog Resource Pricing

Availability Aware Online Virtual Network Function Backup in Edge Environments

With the rapid advancement of edge computing and network function virtualization, it is promising to provide flexible and low-latency network services at the edge. However, due to the vulnerability of edge services and the volatility of edge computing system states, i.e., service request rates, failure rates, and resource prices, it is challenging to minimize the online service cost while providing the availability guarantee. This paper considers the problem of online virtual network function backup under availability constraints (OVBAC) for cost minimization in edge environments. We formulate the problem based on the characteristics of the volatility system states derived from real-world data and show the hardness of the formulated problem. We use an online backup deployment scheme named Drift-Plus-Penalty (DPP) with provable near-optimal performance for the AVBAC problem. In particular, DPP needs to solve an integer programming problem at the beginning of each time slot. We propose a dynamic programming-based algorithm that can optimally solve the problem in pseudo-polynomial time. Extensive real-world data-driven simulations demonstrate that DPP significantly outperforms popular baselines used in practice.

A dynamic model of resource extraction and intensity of competition

AbstractThis paper represents a significant extension of the traditional Cournot extraction game, by introducing the linear supply function strategy space in a novel, dynamic way. A variety of asymmetric cases are considered, including the new firm‐specific competitive strategies. The results highlight the importance of competition in accelerating the supply of critical minerals, which is vital to mitigate climate change, but also present a new sustainability challenge.

تصميم نظام أمثل باستخدام الفاصل التقريبي لبرمجة دي نوڨو متعددة الأهداف

تُعد برمجة دي نوڤو متعددة الأهداف، أداة فعالة تتعامل مع تصميم نظام أمثل، وذلك من خلال تحديد المستوى الأمثل لتخصيص الموارد، وتحسين قيمة دوال الهدف وفقاً لسعر الموارد (هذا فيما لو كانت الظروف طبيعية ولا يوجد تقلب في الاسعار). في هذه البحث اُقتِرحَ نهجاً جديداً لحل مشكلة عدم اليقين لمشكلة برمجة دي نوفو، وذلك باستخدام أنموذج مركب يتضمن نوعين من البرمجة: الأول هو برمجة متعددة الأهداف ذات الفاصل التقريبي (RIMOP)، والثاني: برمجة دي نوڤو(DNP)، علماً بأن معاملات متغيرات القرار لدالة الهدف والقيود عبارة عن فاصل تقريبي RIC. وقد استخدامنا ثلاث طرائق لحل الانموذج المقترح وإيجاد تصميم نظام أمثل، الطريقة الاولى هي طريقة المجموع الموزون WSM والتي تُستخدم قبل اعادة صياغة النموذج المقترح RIMOP (وكانت الموارد معروفة)، وقد وجد ان نتائج طريقة WSM تعطي حلاً واحداً (حل وسط قريب من المثالية) من بين الحلول المقبولة تحت كل حد من حدود المشكلة، وبالتالي يمكن تقديم أربع حلول (بدائل) لصانع القرار (DM). اما منهجية زيلني وطريقة نسب المسار الأمثل فقد استخدمت بعد صياغة الانموذج المقترح (RIMODNP) (وكانت الموارد للطرف الأيمن للقيود ليست معروفة). وجد ان منهجية زيلني تعطي تصميم نظام أمثل واحداً لكل حد من حدود المشكلة، في حين ان طريقة المسار الأمثل طبقت بعد ان تم التأكد من حدود النموذج المقترح وفقاً النظرية شاي فقد استخدمنا ثلاثة أنواع من النسب تحت كل مشكلة فرعية، فقد وجد ان هذهِ الطريقة تعطي ثلاث تصاميم انظمة مثلى تحت كل حد للمشكلة، وقد اتضح من خلال النتائج ان طريقة نسب المسار الامثل هي أكثر كفاءة من غيرها بعد تطبيقها على النموذج المقترح، لأنها اعطت اثنا عشر بديلاً لـ(DM)، لوحظ ان الانموذج المقترح يتوافق مع شروط ونظريات RIC. يُعد الانموذج المقترح مناسباً جداً لظروف عدم اليقين، اخيراً، طبق مثال رقمي على الانموذج المقترح.

Nodal price-based demand response management via orderly time-of-use strategy for an unbalanced isolated microgrid considering voltage stability constraints

This paper scrutinizes the compatibility of voltage stability criteria with price-based demand response management (DRM) for a large-scale isolated microgrid considering severe dependency of constant-impedance loads (CILs) on nodal voltage magnitude. Meanwhile, a hybrid nodal pricing (HNP) scheme is developed to determine clearing prices for resources and time-of-use (TOU) tariffs for price-responsive loads. The proposed framework is composed of three ingredients including two optimization molds with the objective of actual net profit and recast operation expense sequentially solved in an iterative process together with one pay-off module. The energy schedules, unbalanced voltages and nodal prices are determined considering intermittency of renewable resources, unbalances, circuit limitations, and reactive power requirements. Two bus and line voltage stability indices as well as voltage profile management criterion are used to prevent voltage instability. Thus, load profile is corrected such that voltage stability can be upheld as well. The proposed method is implemented via a modified CIGRE benchmark. The simulation results demonstrate that load factor improves at least 4.30% under desirable stability margins. Moreover, total energy loss and line voltage unbalance rate (LVUR) decrease at least 1.02% and 10.03% respectively.

A LITERATURE REVIEW ON RISK FACTORS ON INTERNATIONAL CONSTRUCTION PROJECTS

Internationalization is one of the most critical decisions for construction companies. Although expanding into new markets promises several benefits such as new job opportunities, increases in market share and profit margins, etc., it is exposed to risks and difficulties, which in turn result in poor project performance in terms of delays and cost overruns. Therefore, construction companies should thoroughly recognize the potential risk factors and develop proper risk management strategies against these risk factors. This study reviews the recent studies on risk factors on international construction projects, which might cause delays and cost overruns, in order to help construction companies that mostly undertake international construction projects in recognizing risk factors and developing their risk response strategies against them. For this purpose, semi-systematic literature review was conducted, 32 journal articles from 14 academic journals reviewed in depth, and 23 different risk factors were identified. “Host government related risk”, “Resource price fluctuations”, “Unavailability of resources in the host market”, and “Contractor’s lack of managerial skills” were found to be “highly cited risk factors”. On the other hand, “Adverse public attitude”, “Project specification and standard problems”, “Technology and proprietary information sharing problems”, and “Virtual Risk” were found to be “lowly cited risk factors”.

A LITERATURE REVIEW ON RISK FACTORS ON INTERNATIONAL CONSTRUCTION PROJECTS

Internationalization is one of the most critical decisions for construction companies. Although expanding into new markets promises several benefits such as new job opportunities, increases in market share and profit margins, etc., it is exposed to risks and difficulties, which in turn result in poor project performance in terms of delays and cost overruns. Therefore, construction companies should thoroughly recognize the potential risk factors and develop proper risk management strategies against these risk factors. This study reviews the recent studies on risk factors on international construction projects, which might cause delays and cost overruns, in order to help construction companies that mostly undertake international construction projects in recognizing risk factors and developing their risk response strategies against them. For this purpose, semi-systematic literature review was conducted, 32 journal articles from 14 academic journals reviewed in depth, and 23 different risk factors were identified. “Host government related risk”, “Resource price fluctuations”, “Unavailability of resources in the host market”, and “Contractor’s lack of managerial skills” were found to be “highly cited risk factors”. On the other hand, “Adverse public attitude”, “Project specification and standard problems”, “Technology and proprietary information sharing problems”, and “Virtual Risk” were found to be “lowly cited risk factors”.

Enhancing Physiology Education Through Physiological Simulation

Advances in Physiology Education began publishing papers in 2005, using classic papers in physiology teaching [1]. This approach has several valuable outcomes: Classic experiments, conclusion of which form the foundation of much of our undergraduate teaching textbooks, require less specialized knowledge to understand and interpret the data and conclusions. It demonstrates the scientific method, demonstrating both "what do we know" and "how do we know." It promotes inquiry-based learning. It fosters data literacy, teaching students to interpret graphs and provides historical context for physiology [1]. Traditional practical classes achieve many of these outcomes while also providing a tactile experience, and have added benefits to students’ data literacy — in as much as the students perform the protocols themselves. Students will gain insight to what “squiggly lines” on a screen are measuring and the individual variability in what raw physiological recordings look like. Students will gain a greater appreciation for analytical techniques, and the manipulations and analysis that needs to be performed to interpret data. Students also gain an appreciation of the difference between textbook vs real data. Nevertheless, in person practical classes have limitations due to resource intensity, including space, materials, and curriculum time. HumMod (hummod.org) is a freely available mathematical model of Human Physiology, a "time-dependent physiologic simulation engine" [2]. JustPhysiology (justphysiology.com) is an education-focused web interface for HumMod [3]. We have written four physiology-based workshops utilizing simulated data from JustPhysiology. The JustPhysiology workshops were setup as a structured inquiry activity where students are expected to apply their content knowledge to interpret data, and students submitted their reports after each workshop for evaluation and feedback. In preparing the workshop activities for deployment, we trialed the activities with students who had previously completed our second year Human Physiology subject (and were thus familiar with the content). We then engaged students in focus group interviews —ascertaining the students’ perceptions of the learning experience. The outcome of the focus group interview suggests that students engaging with the workshop tasks enter into a positive learning cycle: [Formula: see text] The spontaneous emergence of a learning cycle, promoting deeper understanding of the physiology suggests that these data driven workshops will have improve student learning in Human Physiology.

Vayu bubble continuous positive airway pressure is a promising solution with favorable treatment outcomes for respiratory distress syndrome in newborns: a qualitative study in Bangladesh.

According to Bangladesh Demographic and Health Survey (2022), neonatal mortality, comprising 67% of under-5 deaths in Bangladesh, is significantly attributed to prematurity and low birth weight (LBW), accounting for 32% of neonatal deaths. Respiratory distress syndrome (RDS) is a prevalent concern among preterm and LBW infants, leading to substantial mortality. The World Health Organization (WHO) recommends bubble continuous positive airway pressure (bCPAP) therapy, but the affordability and accessibility of conventional bCPAP devices for a large number of patients become major hurdles in Bangladesh due to high costs and resource intensiveness. The Vayu bCPAP, a simple and portable alternative, offers a constant flow of oxygen-enriched, filtered, humidified, and pressurized air. Our study, conducted in five health facilities, explores the useability, acceptability, and perceived treatment outcome of Vayu bCPAP in the local context of Bangladesh. A qualitative approach was employed in special care newborn units (SCANUs) of selected facilities from January to March 2023. Purposive sampling identified nine key informants, 40 in-depth interviews with service providers, and 10 focus group discussions. Data collection and analysis utilized a thematic framework approach led by trained anthropologists and medical officers. Service providers acknowledged Vayu bCPAP as a lightweight, easily movable, and cost-effective device requiring minimal training. Despite challenges such as consumable shortages and maintenance issues, providers perceived the device as user-friendly, operable with oxygen cylinders, and beneficial during referral transportation. Treatment outcomes indicated effective RDS management, reduced hospital stays, and decreased referrals. Though challenges existed, healthcare providers and facility managers expressed enthusiasm for Vayu bCPAP due to its potential to simplify advanced neonatal care delivery. The Vayu bCPAP device demonstrated useability, acceptability, and favorable treatment outcomes in the care of neonates with RDS. However, sustained quality service necessitates continuous monitoring, mentoring and retention of knowledge and skills. Despite challenges, the enthusiasm among healthcare providers underscores the potential of Vayu bCPAP to save lives and simplify neonatal care delivery. Development of Standard Operating procedure on Vayu bCPAP is required for systematic implementation. Further research is needed to determine how the utilization of Vayu bCPAP devices enhances accessibility to efficient bCPAP therapy for neonates experiencing RDS.

An offloading and pricing mechanism based on virtualization in edge–cloud computing

Integrate users, edge servers and cloud into a system can improve resource utilization and quality of service (QoS). The users can send the same request to multiple Edge Servers. However, edge servers have limited scope, which may result in repeated offloading tasks for the same user. In this paper, we consider the cloud resource migration in the form of virtual machines (VMs) to achieve high computing efficiency and low latency requirements. Obviously, the migration of VMs causes changes in the number and price of edge resources, which further affects the task offloading strategy. Therefore, it is necessary to optimize the VMs migration strategy and resource pricing strategy successively to achieve the optimal offloading strategy suitable for users. First, based on the competition between edge servers, a static VMs migration algorithm (SVMMA) is designed to formulate the strategy and price of VMs migration. Then, according to the users’ resource needs and the resource possession of different edge servers, a resource partitioning approach (RPA) have been proposed. Finally, two different QoS functions are evaluated, representing the QoS matching degree between tasks and multiple resource combination blocks (MRCBs). Wherein, a dynamic matching and pricing of tasks algorithm (DMPT) is conducted to obtain the optimal offloading strategy and price of the task. Experiments show that our algorithms can improve the offloading rate of tasks and achieve the relative balance among user, cloud server, and edge server benefits.

Enhancing frameworks for utilising Sankey diagrams in modelling the water-energy nexus and circularity

Understanding the connection between water supply and energy consumption in a circular economy is crucial for managing the demands of these resources. Sankey diagrams have the potential to enhance the visualisation of resource flows. However, there is a knowledge gap regarding the effective use of Sankey diagrams to capture the water-energy nexus and circularity of water. This study focused on effectively utilizing Sankey diagrams to model the nexus of water and energy flows and to assess the circularity of water. A comprehensive literature review was conducted on major studies on water material flows and modelling. This was supported by a review of approaches for modelling circularity, which have evolved from the material circularity index. The newly developed framework in this paper models water resource flows at all stages of the water supply chain, embedding the nexus as an interaction and considering resource intensity and material circularity index at each node. A city-level case study in South Africa was then used to apply the recommendations, model circularity, and the water-energy nexus using Sankey diagrams. In terms of circularity, the results indicate that water loss in the study area was very high, accounting for up to 40% of the total water supply and the water recycle rate was still very low, ranging from 3% to 7%. In terms of the nexus, the residential sector was found to have the highest energy intensity for water supply, primarily due to energy demand for water heating. Exploring the use of renewable or solar energy for water heating will be of interest and value. The new approach presented in this study allows for the simultaneous consideration of objectives, enabling a more robust analysis of energy-effective water use and water circularity along the water supply chain.

Socialization 2.5: Social Education in the era of Aggregator Platform

The article is devoted to the analysis of an urgent problem – the emergence and development of new phenomena in the field of Russian social education – children’s public organizations integrated into state macro-information systems. The “Movement of the First” is the most striking example of this kind, in which its digital and “living” human components are closely interconnected. The metaphor “Socialization 2.5” in the title of the article reflects the position of the authors that socialization under the conditions of the developing Internet environment in Russian conditions has already outgrown the distinctive features of “Web 2.0”, but has taken a different path than the proposed version of “Web 3.0”. The article argues the position according to which children’s public organizations (movements) engaged in social education are independent socio-technogenic factors. Organizations (movements) of this kind are a tool for removing, levelling the social and cultural characteristics of differentiated social groups and solving a number of other social, educational and cultural tasks. It is shown that the real conceptual model of the subject area of business processes of the “Movement of the First” (romanized: Dvizheniye pervykh – RDDM activities) is described in the language of economics, sociology, computer science, the language of business trainings adapted to a youth audience, but does not use the language of traditional Russian academic pedagogy. The article identifies a number of new problems of social education, which are a consequence of its development in conditions of integration with digital technologies: the inclusion of man-made components in the process of identifying a child with the movement, in acts of initiation (occupation of a certain status, including membership in the movement), in communication, the absolute absence of anonymity. Possible threats to the development of the children’s organization “Movement of the First” are noted as: a bias towards “virtualization” of the proposed activities, up to the replacement of activities in the physical world with its “digital footprint”, the risk of using exclusively formal indicators of movement development, the problem of motivating the activity of subjects, the problem of balance between the requests of movement participants and the “resource intensity” of the proposed “activities”. In the perspective, it can be assumed that the digital component of the movement will develop intensively, expanding the degree of automation, the use of artificial intelligence systems, which may lead to further deformation and adaptation of the system of social interactions within the movement to the possibilities of the digital environment. All named problems are a challenge in relation to the theory of social education and require serious research based on an appropriate methodological basis.

MACROECONOMIC STRATEGY FOR THE RESTORATION OF THE GAS DISTRIBUTION MARKET ON THE EXAMPLE OF THE MARSHALL PLAN

Ukraine suffered giant human, material, and resource losses from the war. This led to a change in the Strategy and Tactics for the future allocation of resources and strategies for the macroeconomic recovery of the energy sector. A sharp decline in Ukraine's energy intensity in all sectors of the economy resulted in a general decline in the country's gross domestic product. As a result of the military intervention, Ukraine's energy sector is characterized by high import dependence, low energy efficiency, and financial illiquidity. In addition, the subsequent market transformation has led to chaotic pricing of gas resources and utilities and low household income. The article discusses the main aspects of the famous Marshall Plan for the post-war reconstruction of the Ukrainian economic and energy systems. The study pays special attention to the macroeconomic Strategy for the energy sector's recovery. The article considers the existing developments of researchers and practitioners in analyzing the impact of the Marshall Plan on the recovery of European countries after World War II. When implementing this plan in the context of current national realities, the author outlines certain aspects that could be taken into account in the necessary implementation of a standard European policy of Ukraine's reconstruction, intensification of the business legal and competitive environment, and implementation of integrity issues about the focus and priority of individual industries and areas. It is particularly urgent to address the combination of renewable features in the context of European environmental, climate, and economic policies. Considering Ukraine's energy balance in wartime, the existing Energy Strategy should summarize the growth that will be implemented slowly. Gas resources will continue to play an essential role in domestic energy consumption. Therefore, in analyzing existing approaches, trends, and our beliefs, we modeled a possible macroeconomic Strategy for restoring Ukraine's gas distribution sector in the postwar period based on approaches specific to the Marshall Plan. The macroeconomic Strategy for restoring gas distribution companies in postwar Ukraine is a complex concept and consists of several government measures. This Strategy should consider the Marshall Plan, which has already positively affected some countries after World War II. The basis of this recovery plan is access to fuel and energy resources in a technically reliable, safe, cost-effective, and environmentally acceptable manner in the interests of consumers and society. Ukraine suffered giant human, material, and resource losses from the war. This has led to a change in the Strategy and Tactics for the future allocation of resources and macroeconomic recovery strategies for the energy sector. A sharp decline in Ukraine's energy intensity in all sectors of the economy resulted in a general decline in the country's gross domestic product. As a result of the military intervention, Ukraine's energy sector is characterized by high import dependence, low energy efficiency, and financial illiquidity. In addition, the resulting market transformation has led to chaotic pricing for gas resources and utilities.

Эффективность деятельности субъектов предпринимательства:социально-экономический аспект

The article provides an assessment of the profitability of agricultural organizations whose main economic activity is the cultivation of poultry. These are medium–sized and large enterprises (poultry farms) that are top participants in the national Labor Productivity project. From the perspective of a socially oriented approach, the results of the analysis of indicators characterizing the effectiveness of entrepreneurial activity are presented. At the same time, attention is focused on the distribution of net value added in terms of accumulation and consumption, as well as financial stability when production breaks even. It is determined that the introduction of lean manufacturing elements, despite the increase in resource prices due to sanctions pressure, allows to increase labor productivity and business efficiency.

Machine Learning-Based Prediction of Elastic Properties Using Reduced Datasets of Accurate Calculations Results

In this paper, the applicability of machine learning for predicting the elastic properties of binary and ternary bcc Ti and Zr disordered alloys with 34 different doping elements is explored. The original dataset contained 3 independent elastic constants, bulk moduli, shear moduli, and Young’s moduli of 1642 compositions calculated using the EMTO-CPA method and PAW-SQS calculation results for 62 compositions. The architecture of the system is made as a pipeline of a pair of predicting blocks. The first one took as the input a set of descriptors of the qualitative and quantitative compositions of alloys and approximated the EMTO-CPA data, and the second one took predictions of the first model and trained on the results of the PAW-SQS calculations. The main idea of such architecture is to achieve prediction accuracy at the PAW-SQS level, while reducing the resource intensity for obtaining the training set by a multiple of the ratio of the training subsets sizes corresponding to the two used calculation methods (EMTO-CPA/PAW-SQS). As a result, model building and testing methods accounting for the lack of accurate training data on the mechanical properties of alloys (PAW-SQS), balanced out by using predictions of inaccurate resource-effective first-principle calculations (EMTO-CPA), are demonstrated.

Standardized Sampling for Systematic Literature Reviews (STAMP Method): Ensuring Reproducibility and Replicability

Systematic literature reviews (SLRs) are an effective way of mapping a research field and synthesizing research evidence. However, especially in communication research, SLRs often include diverse theories and methods, which come with a considerable downside in terms of reproducibility and replicability. As a response to this problem, the present article introduces the method of standardized sampling for systematic literature reviews (STAMP). The method is a structured, four-stage approach that is centered around score-based screening decisions. Originating from principles of standardized content analysis, a method common in communication research, and supplementing established guidelines like Cochrane or PRISMA, the STAMP method contributes to more transparent, reproducible, and replicable SLR sampling processes. As we illustrate throughout the article, the method is adaptable to various SLR types. The article also discusses the method’s limitations, such as potential coder effects and comparatively high resource intensity. To facilitate the application of STAMP, we provide a comprehensive guideline via the Open Science Framework that offers a succinct overview for quick reference and includes practical examples for different types of SLRs.