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SUSTAINABLE DEVELOPMENT AS A NEW FOCUS IN THE CONCEPT OF BUSINESS CONTINUITY: CHALLENGES AND OPPORTUNITIES

Questions:

1. What are the main challenges of integrating sustainable development principles into business continuity management?

2. What opportunities and benefits can organizations gain by embedding sustainability into their business continuity strategies?

3. What steps should enterprises and policymakers take to overcome the barriers and fully realize the convergence of sustainability and business continuity?

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Title: Improving the dynamics of paper sheets in transport systems of printing machines

Author: Volodymyr Podobied

Questions:

1. What structural benefits do cylindrical panels offer in high-speed printing?

2. What impact does sheet shape have on the productivity of printing equipment

3. Can sheet rigidity be improved without changing the material properties?

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Title: Video Content as a Socio-Communicational Phenomenon
Author: Valeriian Kopynets

Main Research Questions:

1. How has video content transformed modern models of social communication?

2. What communicative functions does video perform across platforms and formats?

3. How does short-form video (e.g., Reels, Shorts, TikTok) influence perception, attention, and emotional engagement?

4. What visual and structural elements make video content socially effective and widely shared?

Research Goal:
The goal of this study is to explore video content as a powerful communicative tool that shapes public discourse, cultural trends, and interpersonal interactions in the digital age.

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Title: Application of fuzzy logic for microservices scaling in Kubernetes

Questions:

1. How fuzzy logic may be relevant in the context of Kubernetes and microservices?

2. What benefits may fuzzy logic offer in the environment where the load is constantly changing?

3. How fuzzy logic may be applied in the Kubernetes environment?

The idea it to show that using fuzzy logic may increase performance and help to sustain the necessary load under pressure, and that it can be somewhat easily applied in a Kubernetes-friendly approach

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Business models transformation in the context of transition to a carbon-neutral economy (the author: Kateryna Stepanchuk)

The main research question: Adaptation of enterprises' activities to the requirements of a carbon-neutral economy, both in the context of internal operational processes, technological solutions and resource management, as well as in terms of stakeholder engagement and the formation of sustainable supply chains.

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B2B Digital Marketing for Customer Acquisition and Retention

1. How should B2B companies structure digital marketing when search demand is low and buying decisions are delayed and complex?

2. How can we build effective digital touchpoint systems to guide potential clients from awareness to sales conversations?

3. What lead qualification models work best in B2B with limited sales capacity, and how fast should qualification happen?

4. Why is it misleading to evaluate B2B marketing purely by short-term ROI or Cost per Won, and which metrics are more appropriate?

5. How do content and distribution need to work together in B2B, and what happens when one is missing?

6. How should B2B firms plan and budget long-term campaigns when results may appear months after the initial impressions or interactions?

7. What’s the role of retention channels (email, remarketing, marketing automation) in nurturing leads and enhancing sales conversion?

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Article Title: Improvement of the Mechanical Drive of a Web Printing Machine According to the Requirements of Regulated Print Accuracy
Main Research Questions:

1. What are the main factors affecting print accuracy in web printing machines?

2. What mechanical drive modifications can improve positioning accuracy?

3. How can the effectiveness of these improvements be evaluated through experimental or modeling methods?

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IMPROVING THE DRIVE OF CIRCULAR KNIVES FOR SEAMLESS GLUING IN PRINTING PRODUCTION

The main idea is to enhance the drive mechanism of circular knives used in seamless adhesive binding of printed materials to increase reliability and efficiency.

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PROPAGANDA MANIPULATIONS IN THE UKRAINIAN INFORMATION SPACE: CLASSIFICATION, IMPACT, AND COUNTERMEASURES

Research questions:

1. How can propaganda manipulation techniques in the Ukrainian information space be systematically classified based on international research and empirical data?

2. What are the observable impacts of these propaganda manipulations on Ukrainian society, particularly regarding public trust, polarization, and democratic processes?

3. How are different categories of propaganda manipulation presented in concrete case studies from the Ukrainian information space, and what are their specific effects?

4. What technological, regulatory, and educational countermeasures can be proposed to effectively mitigate the influence of propaganda manipulations in Ukraine?

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DESIGN OF A DIGITAL TWIN SYSTEM FOR CRITICAL INFRASTRUCTURE MONITORING AND DECISION SUPPORT

Main research questions are:

Real-Time Data Integration and Synchronization:
Effective digital twins require seamless integration of real-time sensor data with historical records to maintain an up-to-date virtual model of physical systems.

Simulation and Predictive Analytics:
By incorporating machine learning and system simulation, digital twins can forecast system failures, optimize operations, and test "what-if" scenarios without risking real-world consequences.

Scalability and Cybersecurity:
Implementing secure and scalable digital twin systems is vital for national infrastructure. It demands robust communication protocols, data encryption, and adaptive architectures for cross-domain deployment.

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DESIGN OF A REAL-TIME ANOMALY DETECTION SYSTEM FOR MEDIA DATA METRICS

Main research questions:

1. How can we detect anomalous behavior in media engagement metrics in real time without relying on labeled data?

2. What metric (e.g. views, shares, comments) is most reliable for detecting disinformation or coordinated influence operations?

3. How can we filter irrelevant or misleading signals (false positives) while preserving truly anomalous patterns in large-scale, unlabeled datasets?

4. How can statistical anomaly scoring enhance the detection of significant events or threats in the information space?

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ENSURING THE INTERNATIONAL COMPETITIVENESS OF UKRAINIAN LOGISTICS ENTERPRISES BASED ON INDUSTRY 4.0 UNDER CURRENCY REGULATION CONDITIONS

3 Main Points:

1. Integration of Industry 4.0 Technologies: Ukrainian logistics enterprises must implement technologies such as IoT, AI, and automation to enhance global competitiveness.

2. Impact of Currency Regulation: Currency controls significantly influence exchange rate risk, financial transactions, and overall economic stability, affecting logistics operations.

3. Strategic Adaptation and Innovation: Adopting innovative solutions and adjusting to global economic and regulatory shifts is crucial for maintaining efficient, transparent, and resilient supply chains.

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THE USE OF ARTIFICIAL INTELLIGENCE IN ENERGY MANAGEMENT OF INDUSTRIAL ENTERPRISES - Dovhoruk Oleksandr

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The main article questions is: "How can AI technologies be effectively implemented in energy management systems of industrial enterprises to reduce costs, improve efficiency, and enable participation in decentralized energy networks?"

Minor questions are:

1) What are the key technical, organizational, and regulatory challenges in implementing AI at the enterprise level?

2) What conditions and steps are necessary for the successful integration of AI into existing enterprise energy systems?

3) How do global trends in AI development influence the Ukrainian context?

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Enhancing the efficiency of AI methods using real-world small datasets

-Volodymyr Rudyk

Main research questions:

1. What methods and approaches demonstrate the best performance when working with small datasets?

2. Is it possible to determine the maximum predictive accuracy of any models based on a given dataset?

3. Is it possible to improve existing neural network or machine learning models to enhance predictive performance on small datasets?

4. Is it possible to develop a new model that would achieve high performance on small datasets?

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Algorithmic and Software Solutions for Facial Expression Recognition and Visualization of Virtual Reality Characters Based on Anthropomorphic Data

The goal of the research is to develop intelligent software for real-time facial expression recognition using camera and LiDAR data, enabling accurate emotion-driven animation of 3D avatars in virtual environments. The system aims to enhance human-computer interaction in VR/AR, digital twins, and training simulators by fusing 2D visual data with 3D anthropometric input.

Main research questions:

1. How can multimodal 2D/3D data fusion improve the accuracy of facial expression recognition in dynamic, real-time conditions?

2. What neural network architectures are most effective for recognizing subtle and complex expressions in real users?

3. How can adaptive learning (e.g., few-shot, meta-learning) be applied to personalize expression recognition for each user?

4. What are the most efficient methods to map recognized expressions onto 3D avatars in real time using differentiable rendering and GANs?

5. How can this system be integrated into educational VR scenarios, smart environments?

Research tasks include:

Literature review and analysis of current FER techniques and 3D avatar control methods.

Development of sensor fusion models combining RGB and LiDAR data.

Implementation of real-time optimized deep learning pipelines.

Experimental evaluation of system performance and personalization accuracy.

Application-oriented validation in VR simulation, smart home control, and learning labs.

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Artem Lebedev

Mutation analysis and problems of its use for machine learning systems

Main research questions are:

1. How should classical mutation testing methods be adapted to suit the unique characteristics of machine learning models?

2. What should be considered as 'source code' in ML models when applying mutation analysis?

3. What types of mutation operators effectively simulate realistic developer errors in ML systems?

4. How can computational efficiency and mutation coverage assessment methods be optimized specifically for ML testing?

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Peredera Viktor

A Study of Neural Network Approaches to Deep Stylometry-Based Authorship Analysis

1. What are the current limitations of authorship detection with stylometry-based analysis?

2. What is the alternative ways to detect authorship except stylometry analysis?

3. How is identifying source of information can help with fake news detection?

4. How does AI influence the possibility of successful source identifying?

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THE METHOD OF BUILDING PROBABILISTIC MODELS FOR MANAGEMENT OF THE SOFTWARE DEVELOPMENT PROCESS UNDER CONDITIONS OF UNCERTAINTY

The idea of ​​the research is that the software creation process can be represented as a probabilistic model, containing the probability of each possible way of executing the process.

Probabilistic programming - is a new way of creating probabilistic models that allow predicting or inferring new facts that are not found just in the results of observations of software development processes.

The aim is to increase the efficiency of managing the software development process under conditions of uncertainty by using a probabilistic approach.

To achieve the goal, the following scientific tasks are planned to be solved in the dissertation:

1. Investigate the metrics of success of a software development project.

2. Investigate the factors that influence the course of the development process.

3. Investigate existing inference algorithms.

4. Investigate the features of existing project management systems under conditions of uncertainty.

5. Develop a probabilistic model of the software development process.

6. Develop a software tool for managing the software development process, using the constructed model and integration with the project management system.

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Improving the accuracy of trend dynamics forecasting based on Artificial Intelligence models

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Oleksandr Zakovorotnyi

Improving the accuracy of trend dynamics forecasting based on Artificial Intelligence models

Main research questions:

1. Is it possible to find an efficient ML method to predict the stock market?

2. What is the highest possible accuracy number that we can accept for the stock market forecasting?

3. Can we utilize news resources to predict stock market movements?

4. Can we approximate the financial market with all its dependencies and volatility?

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CFD simulation of the influence of thermal aerodynamic
processes in the fuel of the DKVR 10-13 boiler on the thermal

stressed state of its drum

1. How does the use of jet-niche burners affect the hydrodynamic and thermal flow structure in the DKVR-10-13 boiler furnace?

2. What impact does the modernization of burners have on the formation and distribution of harmful emissions such as NOx and CO?

3. How do temperature gradients and heat fluxes from combustion gases influence the thermal stress distribution on the boiler drum?

4. Is the nominal wall thickness of 10 mm sufficient to maintain the structural integrity of the boiler drum under both nominal and reduced (60%) thermal loads?

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Computational methods for topology optimization of heat exchangers

The aim of this research is to identify modern computational methods of TOHX and analyze their prevalence in scientific works. This will outline key alternatives to FEM, simplifying the choice of computational methods for further research and providing a foundation for more focused development of new methods or improvement of existing ones to enhance the efficiency and automation of TOHX computational methods.

The object of the research is the process of development and implementation of TOHX computational methods in scientific studies.

The subject of the research is TOHX computational methods.

To achieve the research goal, the following tasks have been defined:

– increase the size of the studied publication sample, covering a larger range of computational methods for TOHX compared within a single study;

–  conduct a statistical analysis of scientific activity in the field of TOHX computational methods, assess the dynamics of publication numbers, and identify key trends;

– identify the most widely used computational methods for TOHX;

– build a forecast for the development of scientific activity in the field of TOHX computational methods.

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The effect of surface treatment of cardboard with an aqueous solution of aluminium hydroxychloride on the parameters of the edge wetting angle and surface energy of the product.

The study will significantly improve the functional properties of packaging and disposable tableware made of modified cardboard by increasing the adhesion between the structural elements of the products during their manufacturing and increasing the complex of their barrier properties.

It has been suggested that surface treatment of cardboard with coagulants containing aluminium hydroxychlorides can create a cardboard structure that will increase the cationic charge of the cardboard surface.

The increase in the surface energy of the cardboard sheet will improve the wettability of the surface and increase the adhesion between the cardboard and the polymer melt during its subsequent application in the product manufacturing process.

To achieve this goal, a number of tasks were set:

1. To substantiate the feasibility of the technology of modifying the cardboard surface with an aqueous solution of aluminium hydroxychlorides.

2. To carry out experimental production of cardboard samples, the surface of which was modified with an aqueous solution of aluminium hydroxychlorides.

3. To investigate the effect of cardboard surface treatment (modification with aluminium hydroxychloride) on the indicators of the edge wetting angle.

4. To study the effect of surface treatment of cardboard (modification with aluminium hydroxychloride) on the surface energy.

5. Analyse the properties of modified cardboard after processing using the new technology and determine its effect on adhesion when bonding the elements of the finished product.

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Andriy Kalyuzhnyy

The Influence of Digital Innovative Technologies on the Development of Enterprise Dynamic Capabilities in an Unstable Environment

1. What are the fundamental organizational prerequisites and processes that underpin a company's ability to systematically develop, renew, and reconfigure its dynamic capabilities to adapt to change?

2. How does the implementation of digital innovative technologies transform or enhance the internal mechanisms of an enterprise responsible for building its dynamic capabilities?

3. How does an enterprise's ability to effectively form and modify its own dynamic capabilities influence its resilience and competitiveness in conditions of high turbulence and unpredictability of the market environment?

4. What managerial approaches and organizational changes are most effective for cultivating an enterprise's internal capacity for the continuous and purposeful development of its key dynamic capabilities in the era of digital transformations?

5. How does the understanding of the pathways for developing dynamic capabilities differ, if the focus is on the enterprise's ability to learn how to create them, compared to traditional views, especially in the context of the influence of digital technologies on this ability?

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Stimulating the development of small and medium-sized businesses.

1. What are the primary barriers to the growth of small and medium-sized businesses (SMEs)?

2. What policies, programs, or financial tools are most effective in stimulating SME development?

How do government interventions (e.g., subsidies, tax incentives, training programs) impact SME performance and sustainability?

3. What role do innovation and technology play in accelerating SME growth?

4. What are the best practices in other countries for fostering SMEs, and how can they be adapted locally?

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Hryhorii Skobiennikov

CONCEPTUAL FOUNDATIONS OF BUSINESS MODEL TRANSFORMATION IN ENTERPRISES UNDER CLOUD DIGITALIZATION

1. What is the nature of business model transformation under cloud digitalization?

2. How does the Technology-Organization-Environment (TOE) framework help analyze cloud adoption and its effects on organizational transformation?

3. How do cloud technologies reshape value creation, delivery, and monetization?

4. How are different organizational levels impacted?

5. What sector-specific insights emerge from empirical and regional studies?

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Eugene Poliakov

Improving the Economic Efficiency of Enterprises Based on the Use of Artificial Intelligence Tools

Main research questions:

1. Which specific AI tools most significantly contribute to improving economic efficiency in enterprises?

2. How does the integration of AI tools impact key performance indicators (e.g. cost reduction, productivity, and profitability in different industries?)

3. What are the main barriers enterprises face when implementing AI tools, and how can they potentiallu affect the potential gains in economic efficiency?

4. How does AI influence strategic decision-making and resource allocation in enterprise operations?

5. How do AI-driven process optimizations compare with traditional methods in terms of ROI and long-term economic efficiency gains?

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Mazurenko Nikita

Modern Institutional Factors of the Innovation Process and Information Assymetry

1. What are the main institutions that influence the innovation process

2. What are the features of these institutions in the context of the innovation process

3. How can we characterize its influence

4. How changed the distribution of information based on this

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INFORMATION AND COMMUNICATION TECHNOLOGIES AS A TOOL FOR INCREASING THE EFFICIENCY OF PRINTING COMPANIES’ ECONOMIC ACTIVITY

It is a topic of scientific research

The main idea is using modern software tools to improve economic efficiency of printing industry companies

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Anton Belanovskyi

Clusters, Networks, and Business Ecosystems: A Conceptual Comparison of Non-Linear Models of Enterprise Interaction

1. What are the core conceptual differences between clusters, networks, and business ecosystems as models of enterprise interaction?

2. How have the definitions and theoretical foundations of these models evolved in academic literature?

3. In what ways do clusters, networks, and ecosystems overlap in practice, and how can they be clearly distinguished?

4. What are the strategic implications for firms in selecting one model of cooperation over another?

5. How can a clearer conceptual differentiation between these models support more effective business transformation and innovation scaling?

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Vladyslav Doroshchuk

Classification of Security Properties of Intaglio Printing

1. What motivated you to classify the security properties of intaglio printing, and why is this significant for security printing?

2. What are the main criteria you used to classify intaglio printing’s security properties?

3. What challenges did you encounter in your research, and how did you address them?

4. How does your classification enhance the use of intaglio printing for secure documents?

5. What are the implications of your work for the industry, and what are your plans for future research?

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Peter Taraniuk

Visual Propaganda on Telegram: the impact of images, memes, and stickers on the perception of socio-political events

Main research questions:

1. How do images, memes, and stickers function as visual propaganda tools on Telegram in prominent channels in Russia and Ukraine?

2. How do these visual elements influence users’ emotions and perceptions of information?

3. What techniques and mechanisms does propaganda use to shape narratives through visual content on Telegram?

4. What is the difference in user engagement and interpretation of visual propaganda versus textual propaganda on Telegram?

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