bluuebunny/crossref_metadata_2025 huggingface dataset:
When Hypothesis Preregistration Feeds Into Theory Development
Authors: Bochynska Agata , Baggio Giosuè
Published: February 2025

Study preregistrations and theory development have been proposed as independent strategies for improving the quality, transparency, robustness, and reproducibility of research. Yet, a discussion of how theory and preregistration could interact and complement each other towards improved science is currently lacking. Here, we argue that hypothesis preregistration could stimulate theory development by serving various roles, depending on the availability or quality of theories and hypotheses in a field at any given time. We suggest that, in appropriate conditions, preregistration can increase the quality of hypotheses before they are tested, with indirect beneficial effects on theory development. In fields where theories are less developed or agreed upon, or are lacking altogether, hypothesis preregistration can nudge researchers to improve and share their hypotheses, engaging their community and facilitating accumulation and development of hypotheses. As a field’s theories and hypotheses become more advanced and better understood, hypothesis preregistration can become less important: the theory itself can function as a public repository of hypotheses and can constrain methodological aspects of research. We explore possible relations and synergies between hypothesis preregistration and theory development in a range of scenarios. We conclude with a discussion of implications and recommendations for researchers and meta-scientists.
Dark and Light triad: the relationship between personality traits and addiction to mobile phones, video games, and the internet
Authors: Mejía-Suazo Claudio José , Landa-Blanco Miguel , Mejía-Suazo Gliver Aarón , Martínez Carlos Aníbal Martínez
Published: February 2025

The present study analyzed the effects of Light and Dark Triad traits scores on Internet Gaming Disorder, intrapersonal and interpersonal conflicts related to internet consumption, conflicts, and communicational emotional usage related to mobile phones. Light Triad traits include Faith in Humanity, Humanism, and Kantianism. Dark Triad traits include Machiavellianism, Narcissism, and Psychopathy. The study used a quantitative approach with a non-experimental design. The sample consisted of 450 adults of the Honduran population, of which 55.33% were women, and 44.67% were men, with an average mean age of 25.52 years (SD=6.79). Results indicate that Machiavellianism and Psychopathy scores have significant effects over Internet Gaming Disorder scores. Intrapersonal conflicts related to internet consumption were negatively affected by Narcissism scores and positively affected by Machiavellianism. Psychopathy scores explained interpersonal conflicts related to internet consumption scores. On the other hand, conflicts related to mobile phone usage were negatively affected by Narcissism and Kantianism, while Machiavellianism had positive effects. Finally, communicational emotional usage related to mobile phones was significantly affected by Machiavellianism. These results are discussed according to their implications for the behavioral sciences.
Developmental Evidence that Children Perceive Fire Intensity as an Approximate Non-symbolic Quantity
Authors: Bonny Justin W
Published: February 2025

Between three to six years of age, children become better able to detect smaller differences in non-symbolic visual quantities. This includes judging which set of objects are greater in number and area, suggesting that the underlying approximate magnitude representations facilitating the estimation of these quantities becoming more precise with age. These parallels in developmental trends raise questions about the extent to which they are observed across different non-symbolic quantities. The present study addressed this question using a novel quantity: visual fire intensity. Like number and area, fire intensity can be estimated using visual cues and has real-world implications. However, it is unclear whether young children accurately compare fire intensities and if there are age-related differences in performance. The present study investigated the developmental trend of young children's visual perception of fire intensity. Over 70 three- to six-year-olds completed a comparison task where they judged which of two train engines contained more fire. Based on non-symbolic quantity research, the ratio (relative difference) between the intensity of two simulated fires was varied across trials to be smaller versus larger. Significant ratio and age effects were observed: children were more likely to select the train with the greater intensity fire as being ‘more’ the larger the ratio and the older the child. These results suggest that young children are sensitive to differences in fire intensity using visual cues and have increasingly precise estimates by six years of age. This developmental pattern indicates that approximate magnitude representations support perceptions of fire intensity.
Attributing Mental States to Non-Embodied Autonomous Systems: A Systematic Review
Authors: Wischnewski Magdalena
Published: February 2025

Rapidly evolving, non-embodied autonomous agents, oftentimes powered by AI, have been shown to trigger mental state attributions by users. However, unlike embodied agents, attributions to non-embodied autonomous agents are not caused by physical presence but by language or abstract interfaces. To better understand this fast-growing field, the present article presents a systematic literature review of mental state attribution to non-embodied autonomous agents. Based on a literature body of 400+ papers, 26 relevant publications were identified, providing an overview of the communities studying mental state attributions, the study’s design choices, and findings of these efforts. The findings indicate that (1) the HCI community is less involved in the study of mental state attributions, (2) a lacking validity of the measures limits the current measurement of mental state attributions, (3) there is a skew towards chat- and voice bots, and (4) mental state attributions increased vulnerabilities of users and shifts in accountability.
EnvisionHGdetector: A Computational Framework for Co-Speech Gesture Detection, Kinematic Analysis, and Interactive Visualization
Authors: Pouw Wim , Yung Bosco , Shaikh Sharjeel Ahmed , Trujillo James , Rueda-Toicen Antonio , de Melo Gerard , Owoyele Babajide
Published: February 2025

We introduce the EnvisionHGdetector toolkit (v1.0.0.1), which allows for the kinematic analysisof automatically detected co-speech gestures from single-person videos. The convolutional neural net-work model for detecting gestures is trained using TensorFlow on five open datasets – ZHUBO, SaGA,MULTISIMO, ECOLANG, and TEDM3D – which, combined, represent over 8,000 instances of ges-tures with varying recording conditions. Inspired and further building on the action detection tool Nod-ding Pigeon [57], it utilizes MediaPipe Holistic for skeleton-based tracking, and a CNN model for classi-fication, running efficiently with CPU only. The tool is designed to work in an out-of-the-box fashion,applicable for any single-person frontal view recording, without custom (p)re-training on specific targetdatasets. On our test set, we attain an average gesture detection accuracy of 73-78% (False Positive Rate 21-33%, False Negative Rate 36-48%) for co-speech gesture detection. The envisionHGdetector pypi packagepackage produces as output gesture segment labels, label confidence time series, segmented videos, as wellas ELAN files, DTW distance matrices for gestures similarities, kinematic feature summaries, and a datavisualization and exploration dashboard. The code for the package and training is available on GitHub,and the training feature data is archived at the OSF. We further discuss this project’s outlook, which aimsto improve the integration of open-source computational innovations in gesture studies.
The authoritarian personality model of punitiveness is inconsistent in predicting punishment preferences: a sentencing vignette study in a representative sample from six countries
Authors: Uhl Andrzej , Marks Malia , Ostaszewski Paweł
Published: February 2025

Right wing authoritarianism (RWA) and social dominance orientation (SDO) are routinely used to predict punitiveness and believed by some to form the dispositional basis of punitive attitudes towards offenders. The measures of punishment preferences employed in this line of research have been discredited in criminology as vague and biased. Instead, this study used sentencing vignettes distributed as part of a large population survey. Contradicting the assumptions of extant research, our data indicated that there may not be a single underlying punitiveness trait. Rather, we identified clusters of punishment responses with a latent class analysis. At odds with theoretical and empirical understandings of the authoritarian personality, the effect of RWA on punitiveness was partially suppressed by SDO, which itself was associated with lower punitiveness. Moreover, the subscales of RWA produced opposing effects on recommended sentences, undermining the assumption that RWA should be considered unidimensionally. The predictive power of scales derived from political psychology is modest and does not improve models differentiating between higher levels of punitiveness.
Mind, Motion and Multiscale Emergence: Exploring the Thermodynamics of Cognitive Experiences
Authors: Max Antonio
Published: February 2025

This article presents a novel theoretical framework that reimagines cognitive dynamics through dynamical systems theory and thermodynamic principles. Beginning with an intuitive pixel-experience analogy, a mathematical approach based on attractor dynamics, Lyapunov functions, and weak/strong Markov blankets is then used to describe how cognitive states continuously stabilize representations under metabolic constraints, while dynamically updating beliefs through prediction-driven attractor shifts, ensuring adaptive inference. The framework unifies perception, memory, and emotion within a non-Bayesian predictive model that formalizes the emergence of both computational and linguistic capabilities via recursive self-organization. By embedding cognition within thermodynamic and geometric principles, this work bridges neural mechanics with phenomenological experience, providing new insights into consciousness, learning, and pathological states, while suggesting testable hypotheses for theoretical neuroscience and AI.
Wider than the Sky: An Alternative to “Mapping” the World onto the Brain
Authors: Barwich Ann-Sophie , Firestein Stuart , Dietrich Michael
Published: February 2025

This paper reevaluates the conventional topographic model of brain function, stressing the critical role of philosophical inquiry in neuroscience. Since the 1930s, pioneering studies by Penfield and subsequent advancements in visual neuroscience by Hubel and Wiesel have popularized the concept of cortical maps as representations of external and internal states. Yet, contemporary research in various sensory systems, including visual cortices in certain animals, questions the universal applicability of this model. We critique the restrictive influence of this paradigm and introduce an alternative conceptualization using the olfactory system as a model. This system's genetic diversity and dynamic neural encoding serve as a foundation for proposing a rule-based, adaptive framework for neural processing, akin to the dynamic routing in GPS technology, which moves beyond fixed spatial mappings.
The Ecological Bad is Stronger than Good: Emotions toward Environmentally Harmful Behavior have a Stronger Link to Attitude and Behavior than Emotions toward Environmentally Friendly Behavior
Authors: Kesenheimer Jana Sophie , Aignesberger Verena , Greitemeyer Tobias
Published: February 2025

Two studies highlighted the crucial role of emotions towards harmful (vs. friendly) behaviors in environmental decision-making. Study 1 (N = 687) explored the link between pro-environmental attitudes, anticipated emotions, and choices in hypothetical scenarios. Study 2, an experience sampling study (N = 233) analyzed 2005 real-life behaviors to examine the relationship between experienced emotions and environmental attitudes. Results showed that pro-environmental individuals anticipated and experienced stronger negative emotions (guilt, shame) towards harmful actions than positive emotions (pride, elation) for eco-friendly behaviors. In contrast, less environmentally conscious individuals experienced (relatively) positive emotions towards harmful actions and weaker negative emotions for eco-friendly behaviors. Crucially, anticipated emotions regarding harmful actions significantly influenced behavioral decisions more than those related to pro-environmental actions, mediating the relationship between pro-environmental attitudes and eventual behavioral decisions. In summary, individuals, regardless of their environmental attitudes, reported stronger emotional responses to environmentally harmful behaviors, supporting the "bad is stronger than good" principle, independent of the valence of emotions.
Blockchain in Global Trade: Insights from the TradeLens Experiment
Authors: George Babu
Published: February 2025

The digital transformation of global supply chains has aimed to enhance transparency, efficiency, and security, with blockchain emerging as a key enabler. This paper examines Maersk’s TradeLens initiative, a blockchain-powered shipping platform, within the broader context of digital supply chain innovation. Initially launched to revolutionize maritime logistics, TradeLens demonstrated blockchain’s potential for data sharing, risk mitigation, and operational streamlining. However, despite technological promise and industry participation, it was discontinued in early 2023 due to challenges in scaling adoption and achieving commercial viability. This study critically evaluates the structural, strategic, and economic barriers that hindered its success, providing key insights for future digital supply chain transformations. We highlight the necessity of industry-wide collaboration, governance frameworks, regulatory alignment, and sustainable business models to ensure the viability of digital trade networks.
Illegal Migration: the film Dunki through Dependency Theory
Authors: Hasintha Munasinghe  , Amani Nilar  , Venuri Wedage  , Dinithi Akarshana Rathnayake  , Sawbhagya  Perera  , Hiruka Aththanayake  , Prof. Chirta Jayathilake
Published: February 2025

Rajkumar Hirani’s Hindi film Dunki [meaning illegal migration] (2023) depicts a story of a group of friends from Punjab, who set out on a perilous journey to emigrate to the United Kingdom via a clandestine route called 'donkey flight', risking their lives in the process. The film strikes a chord with audiences by portraying its protagonist’s relentless battle against structural inequalities – situations where one group of people are offered unequal opportunities in relation to the other groups of people – that disproportionately impact underdeveloped countries. The intent of this position paper is to engage in an analysis of the film by employing the lens of Dependency Theory. Accordingly, this analysis aims to delve into the intricate interplay of cultural and economic dependencies, shedding light on the broader narrative of global inequities. The film serves as a poignant reminder of how the underdeveloped world, due to economic and cultural inequalities, is driven to survive in the developed world, even if it is by illegal means.
Design Thinking as an Innovative Approach in a Project-Based Learning Context
Authors: Bouhai Nasreddine
Published: February 2025

Introduction: This article explores the use of Design Thinking as an innovative pedagogical approach in the context of digital project-based learning, particularly in the field of cultural heritage. The research highlights the potential of this approach to foster creativity, collaboration and the development of innovative solutions for digital cultural mediation. Study methodology: The study used Design Thinking workshops, a pedagogical approach based on phases of divergence and convergence, involving interdisciplinary Masters students, and project evaluation based on various criteria. Results: The results of the study highlighted four projects that effectively demonstrate the innovative use of digital technologies to enhance cultural heritage. Qualitative analysis of the projects revealed a number of strengths, including innovation, originality of approach, effective integration of digital technologies and a multidisciplinary approach. The projects also highlighted the potential of Design Thinking to develop user-centred solutions, use gamification and interactivity, and transform interaction with heritage. Discussion and conclusions: The article discusses the value of design thinking in project-based learning to foster innovative solutions and improve students' digital creativity skills in the cultural heritage field.
Does Metacognition Matter?
Authors: Luck Morgan , Francis Erika , Bernard Stephanie , Schempp Anne
Published: February 2025

This writing assignment, titled Metacognitive Analysis, prompts awareness of metacognition in learners early in their medical disciplines as they critically evaluate their process for making medical decisions. The Metacognitive Analysis assignment is completed by first-year graduate health profession students in a master’s level physician assistant (PA) course focused on the development of critical thinking and clinical decision-making. Throughout the semester, patient teaching cases are discussed and dissected by the students in small-group, problem-based learning sessions. In the Metacognitive Analysis assignment, students extend this learning by evaluating their own individual decision-making process in relation to concepts of intuitive and analytic reasoning.
Амвросиаст о предведении Божием
Authors: Лысевич А.
Published: February 2025

В статье рассматривается решение Амвросиастом проблемы соотношения предведения Божия и свободы человеческой воли: в ходе размышлений Толкователь предлагает богословскую формулу, которая становится «крылатой» для последующей латинской традиции. В статье представлены размышления Амвросиаста о призвании Божием и отпадении некоторых лиц от сонма «избранников». Толкователь не только предлагает отвлечённые размышления на этот счёт, но дополнительно иллюстрирует их примерами из Священного Писания.

The article deals with Ambrosiaster’s solution of the problem of the correlation of God’s foresight and the freedom of the human will. In the course of his reflections, the Interpreter suggests a theological formula that becomes «winged» for the subsequent Latin tradition. It is known that at the time of Ambrosiaster (late 4th — early 5th century), this issue was quite acute. The study of Ambrosiaster’s ideas on this topic is also interesting because he wrote somewhat earlier than St. Augustine and influenced him. The article presents the reflections of Ambrosiaster on the question of the calling of God and the falling away of some persons from among the «chosen». The interpreter not only offers abstract reflections on this subject, but additionally illustrates them with examples from the Holy Scriptures.
Active methodologies and their impact on meaningful learning in basic education students, canton quevedo
Authors: Loor Herederos Amarilys Del Carmen , Daza Suarez Sandra Karina , Jaramillo Loor Jeampierre Alexander , Luna Daza Pedro Pablo
Published: February 2025

Active methodologies empower students by fostering engagement and independent learning, shifting away from traditional teacher-centered approaches. These strategies promote critical thinking, collaboration, and creativity, leading to deeper academic understanding. Objective: Develop strategies using active methodologies to enhance meaningful learning in sixth-grade students at Celeste Carlier Educational Unit. Methodology: A correlational quantitative study with 16 students. Surveys identified learning challenges, followed by seven interactive workshops. Results: Initially, 75% struggled with reading comprehension. After the workshops, 81% showed significant improvement in comprehension, communication, and emotional expression, demonstrating the effectiveness of active methodologies in fostering academic success and holistic development.
Патогенетичні механізми розвитку кардіофіброзу при фібриляції передсердь
Authors: Perepeka Ye. O. , Lazoryshynets V. V.
Published: February 2025

The study of the pathogenesis and pathomorphology of cardiofibrosis can be reffered to one of the important problems in modern cardiology. This review paper presents data on the different stages of development of cardiofibrosis in atrial fibrillation (AF). Its significant advantage lies in the study of the molecular mechanisms of the occurrence of the disease from its initial to its final stages. It has been established that a number of activated intracellular signaling pathways and profibrotic factors play a significant role in the pathogenesis of cardiofibrosis. Their interaction leads to the induction and progression of this pathological process. This work also includes consistent and detailed analysis of cytological aspects of cardiofibrosis development in AF. Important conditions that cause the activation of fibroblasts and the acceleration of the fibrotic process are changes in the state of connective tissue cells, cardiomyocytes and other types of resident heart cells. They are directly involved in the regulation of gene expression necessary for the synthesis of specific proteins involved in the formation of fibrous tissue in AF. It has been shown that proliferation of the connective tissue matrix, inflammation, development of oxidative stress, necrosis of cardiomyocytes, progression of fibrosis and pathological remodeling are subsequently observed at the stages of structural histopathological changes that follow the period of functional and metabolic disorders in atria in AF. Thus, it should be expected that in the future the results of relevant cardiological studies will create scientific prerequisites for the development of innovative drugs and technologies. This will allow not only to effectively treat patients with AF, but also influence processes of its development and the formation of heart failure.
Спонтанна дисекція коронарної артерії як причина інфаркту міокарда: огляд та клінічний випадок
Authors: Rudenko Yu. V. , Bezrodnyi A. B. , Sablin A. V.
Published: February 2025

Spontaneous coronary artery dissection (SCAD) is an acute dissection of the arterial wall with the formation of an intramural hematoma anywhere between its layers with the formation of a false and compression of the true lumen of the vessel, which is not iatrogenic and is not caused by aortic dissection, trauma, rupture or erosion of atherosclerotic plaque. The probable pathophysiological mechanisms of SCAD are rupture of the endothelial-intimal layer of the vessel with the subsequent formation of a subintimal hematoma or bleeding from the vasa vasorum, formation of a hematoma in the artery wall and its breakthrough into the true lumen without prior damage to the intima. SCAD develops more often in women than in men. Among the factors that can cause SCAD, fibromuscular dysplasia, systemic inflammatory diseases, congenital connective tissue diseases, nonspecific inflammatory bowel diseases and genetic predisposition are considered. The development of dissection can be provoked by significant physical exertion, emotional stress, and abuse of recreational substances with sympathomimetic activity. In more than 90 % of cases, DM causes myocardial infarction (MI) with ST segment elevation or MI without ST segment elevation. The primary diagnostic method of SCAD is invasive angiography.The article presents a clinical case of managing a patient with MI caused by SCAD. In hemodynamically stable patients, conservative treatment tactics are considered more appropriate, i.e. the use of drug treatment without primary percutaneous coronary intervention. In patients with cardiogenic shock, life-threatening ventricular arrhythmias, recurrent signs of ischemia, or dissection in the left main coronary artery or proximal epicardial arteries, endovascular or surgical reperfusion techniques are recommended. Drug therapy for such patients includes beta-blockers, antiplatelet agents, and statins.
Безпечність та безпосередні результати використання катетерних балонів із лікарським покриттям у лікуванні пацієнтів з ішемічною хворобою серця, de novo ураженнями коронарних артерій або внутрішньостентовим рестенозом
Authors: Sokolov M. Yu. , Garazdiuk O. I. , Shevela V. S.
Published: February 2025

The aim – to investigate the efficacy and safety of drug-coated balloons (DCBs) in treating patients with coronary artery disease (CAD) presenting with de novo coronary lesions and in-stent restenosis (ISR). Materials and methods. A total of 126 patients were enrolled and divided into two groups: the DCB group (n=61) and the drug-eluting stents (DES) group (n=65). The analysis focused on demographic and clinical characteristics, including diabetes mellitus (DM), bleeding risk (assessed using the PRECISE-DAPT score), small-vessel disease, and restenosis prevalence.Results. The findings revealed that both DCB and DES interventions were safe, with a minimal incidence of early postoperative complications. The DCB group exhibited a higher prevalence of DM (50.82 % vs. 29.23 % in the DES group) and a greater frequency of small-vessel disease (vessels ≤2.75 mm in diameter). While procedure times were comparable between the two groups (38.7±19.7 minutes for DCB vs. 42.3±20.1 minutes for DES), the DCB group required significantly less contrast medium (147.5±63.2 mL vs. 178.0±45.6 mL; p=0.002), potentially lowering the risk of contrast-induced nephropathy.Conclusions. Overall, DCBs demonstrated non-inferior safety and immediate effectiveness compared to DES during the hospital phase, particularly in patients with DM and small-vessel disease. However, further long-term studies are necessary to establish optimal indications and confirm the durability of DCB therapy.
Tasks` analysis of the intelligent system for conducting project competitions
Authors: Hnatiienko Hryhorii , Domanetska Iryna , Hnatiienko Oleksii , Khrolenko Yaroslav
Published: February 2025

Practical experience with project competitions shows that this is a complex
multidimensional task. Competitions are usually characterised by a whole range of
features that significantly affect their rules and technology, criteria and forms of
evaluation. Objective evaluation of projects requires the involvement of a wide range of
experts, which is not always possible. The use of artificial intelligence by humans is a
key factor in achieving optimal results in many industries, from business to science and
technology. The article is devoted to the problems of building an intelligent
decision-making system for project competitions for a wide class of practical problem
areas. The article provides an overview of scientific works in this area. The analysis
of scientific publications has shown that there are several modes of application of
artificial intelligence technologies in human activity, which determine the degree of
its use. Based on the practical experience of developing and implementing intelligent
systems gained by the authors of this paper, the main problems arising in the process of
processing intelligent data are summarised, a number of tasks are identified, and
solution schemes are proposed. The stages of competitions that require support by means
of an intelligent decision support system are considered in detail. The authors provide
a list of tasks that should be formalised in further research, algorithmised, and
software should be created to support them. The authors classify these tasks to be
solved when creating a system of intellectual support for project competitions. The
authors propose to use a scheme of sequential analysis of the options for a set of
projects at the stage of preliminary analysis for formal selection of projects. The set
of tasks formed by the authors is a prerequisite for further formalisation and
development of a mathematical model of the decision-making support task in organising
and conducting project competitions The proposed system will ensure a significant
increase in the efficiency and objectivity of project competitions.
Support system real estate reconstruction process: processing and storage of data
Authors: Buhrov Anatolii , Volokh Bohdan , Bosenko Ihor , Terenchuk Svitlana
Published: February 2025

This article is a continuation of the work aimed at developing an information and
communication system to support the process of restoring real estate objects that have
been damaged and destroyed as a result of military operations conducted by the russian
federation with the support of the republic of belarus on the territory of Ukraine since
February 24, 2022. A holistic view of the highly loaded distributed architecture of a
scalable and fault-tolerant system for supporting the process of restoring real estate
objects, designed to solve many problems of the construction industry of Ukraine, has
been formed. A universal model of the data processing and storage module is proposed.
This module is designed for the rapid processing, analysis and storage of a large amount
of information presented in various formats, taking into account the need to process
fuzzy textual information from the media and eyewitnesses, and visual data obtained from
geographic information systems, satellite surveillance systems and unmanned aerial
vehicles. The article shows a diagram of the sequence of interaction between services
and the importance of ontology in solving the problems of overload and avoiding
conflicts in understanding data coming from different sources. Based on the analysis of
a number of studies in the form of optimization ideas, recommendations for potential
improvement of the system ontology formation are provided. At the same time, the
possibility of using the module in the process of ontology formation and ways to improve
ontology-managed systems are shown. The practical significance of the work is to ensure
continuous monitoring and timely updating of data on real estate objects, which is
important for maintaining the relevance of information when performing restoration work.
Methodology for assessing IoT security at industrial facilities
Authors: Shabala Yevheniia , Korniichuk Borys
Published: February 2025

The article examines the issue of ensuring the security of the Internet of Things
(IoT) at industrial facilities, where IoT devices are actively implemented to control,
monitor and automate production processes. This is accompanied by an increase in
security risks that can negatively affect the functioning of enterprises. Industrial IoT
systems that are integrated with corporate networks and the Internet are open to
external threats, which could allow attackers to gain access to critical data or even
control devices. Among the main security problems, we can highlight the insufficient
frequency of software updates for devices at remote sites, a low level of physical
security, and the lack of uniform security standards. The main goal of the article is to
develop a methodology for comprehensive security testing of industrial IoT systems,
which includes the assessment of cyber threats, the development of testing approaches,
and the selection of tools to ensure reliable protection. The research focuses on
analyzing possible threats to IoT systems, including vulnerabilities in devices,
communication protocols, and network infrastructure. As a result, recommendations are
provided for strengthening the security of industrial IoT networks using a comprehensive
approach to testing, modeling possible attacks, and evaluating physical defenses. The
importance of using Wireshark and tcpdump tools to thoroughly analyze network traffic
and detect anomalies is also emphasized. The article highlights the main criteria for
choosing communication protocols in IoT systems: reliability of transmission,
minimization of delay, high level of security, scalability, energy efficiency, error
tolerance and compatibility with various technologies. Industrial IoT applications
require the use of protocols capable of providing stable data transmission and an
appropriate level of protection. Particularly important is also the possibility of
modeling the behavior of devices in the network, which allows you to assess risks, check
reliability and find optimal scenarios of system operation. For this purpose, the use of
Markov models is proposed, which allow predicting the states of devices or network nodes
and estimating the probability of their vulnerability to attacks.
Paradigmatic concept of modern construction development in the context of strategic
goal-setting for construction stakeholder enterprises
Authors: Fesun Artem , Fedorov Vyacheslav , Kucherenko Oleksandr , Khomenko Oleksandr , Krupnyk Danylo , Jing Qian
Published: February 2025

The article explores the paradigmatic concept of modern construction development.
It examines the evolution of development approaches from initial utilitarian methods to
complex management systems based on the integration of economic, social, and
environmental aspects. Special attention is paid to the role of strategic goal-setting
as a key tool for aligning the interests of stakeholders in construction projects,
including clients, investors, contractors, government bodies, and communities. The
article analyzes contemporary theoretical approaches to goal management in construction,
including innovative tools such as BIM, digital twins, and IoT. Key elements of
strategic management are identified, including the formulation of a shared project
mission, the development of a multi-level hierarchy of goals, the determination of key
performance indicators (KPIs), and communication mechanisms. The importance of "green"
construction, modular technologies, and social inclusion as new industry standards is
also emphasized. Based on an analysis of recent research, the article identifies the
main challenges of strategic goal-setting, such as conflicts of interest, risk
management, and adaptation to external changes. Recommendations are formulated to
improve the efficiency of construction projects through the implementation of a
systematic approach to stakeholder management. The findings are aimed at improving the
management of modern construction projects and ensuring their long-term sustainability,
making the article relevant for researchers and practitioners in the field of
construction development.
Economic and managerial imperatives for the development of construction development
in the context of digital transformation of operational systems of enterprise
stakeholders
Authors: Chupryna Khrystyna , Chupryna Iurii , Pereli Diana , Kushnir Olesii , Chernenko Maksym , Yuitao Wang
Published: February 2025

The article focuses on evaluating the performance of the developer's operational
system in the context of interaction with stakeholders in construction projects. The
study examines key factors affecting the efficiency of development processes within a
microenvironment where stakeholder collaboration plays a critical role in achieving
strategic objectives. Special attention is paid to innovative technologies and adaptive
management models, including the use of collaborative platforms such as Procore,
PlanGrid, and Asana, which enhance transparency, coordination, and operational
efficiency in project management. The article also explores the impact of the
international context on the developer's productivity, specifically cultural
characteristics of project management in various countries, where emphasis may vary
between strict hierarchy and flexible collective decision-making. An example of an
innovative approach is the analysis of the Neom megaproject in Saudi Arabia, which
demonstrates the integration of modern technologies and sustainable development.
Additionally, the study addresses current challenges such as financial risks,
technological integration, environmental sustainability, and a shortage of qualified
personnel. The findings are aimed at developing recommendations to optimize the
developer's operational system through effective interaction with key stakeholders,
implementation of innovations, and adaptation to contemporary global demands. The
results highlight the necessity of new approaches to strategic planning, accounting for
the dynamic environment's specifics, such as resource price instability, institutional
constraints, and growing sustainability requirements. The recommendations proposed in
the article are directed toward optimizing economic and managerial decisions for the
efficient implementation of construction projects. This article will be useful for
researchers, professionals in construction development, project managers, and those
interested in innovative approaches to strategic management in construction.
Algorithm for the development of ordered vortex motions in the atmosphere
Authors: Klapchenko Vasily , Kuznetsova Irina
Published: February 2025

This paper is a continuation of the authors' previous papers devoted to the
application of the proposed fragmented physical statistics and the universal mechanism
of long-range wave action (UMWA) in systems of identical particles. This paper considers
scenario No. 2 – conditionally unbounded systems with a mixture of several types of
identical particles possessing rotational degrees of freedom of movement. The natural
model of such systems is atmospheric vortices (tornadoes). In this work, this model is
considered as a basic one. Technical devices that reproduce this scenario are the
Ranque-Hilsch vortex tube. It is taken as an auxiliary (or experimental) model. For the
basic model, the necessary macroscopic conditions were determined under which the
statistical probability of a tornado exceeding 50%. Under these conditions, using the
entire arsenal of UMWA, the stages of spontaneous generation and development of a
tornado are considered. In particular, the mechanism of self-intensification and
self-organization of the circular motion in the area of tornado formation, its shape,
the process of the tornado “trunk” falling out, its opacity and the thermal effects
accompanying its appearance were clarified. The concepts of wave adhesion and wave
condensation are introduced as special semi-quantum phenomena under the conditions of
the applicability of classical physics. The corresponding quantitative estimates were
made. The validity of quantitative estimates is demonstrated based on the analysis of
the results of studies of an auxiliary (experimental) model - the Ranque-Hilsch vortex
tube. The main conclusion is drawn: the theoretical basis that fully explains the
physical nature of the appearance of a tornado and all its features can be the UMWA.
Overview of modern conflict management models and methods in projects
Authors: Danchenko Olena , Fedotova Nataliya
Published: February 2025

We live in a rapidly changing world. The field of project management is
experiencing a dynamic evolution caused by the development of artificial intelligence
and the use of hybrid approaches to project management. In modern conditions, due to the
rapid development of technologies, the influence of global trends, the complexity of
projects, the challenges of remote and hybrid work, the emphasis on diversity and
inclusiveness, new sources of conflicts appear. Since conflicts are inevitable and can
affect the success of the project team in different ways, conflict management is an
important factor in effective teamwork. The purpose of the article is an analytical
review of modern models and methods of conflict management in order to demonstrate their
diversity and opportunities for application in conflict management in project teams in a
modern working environment. Research has shown that there is a wide variety of models
and methods that can be used to manage conflict in project teams. In particular, such
models and methods as The Conflict Map, The Circle of Conflict, The Wheel of Conflict,
The Onion Model, The Conflict Tree, The Conflict Triangle/ABC Triangle, The Iceberg
Model, The Fishbone Diagram or Ishikawa Diagram, The Five Whys and the Kepner-Trego
Method ( The Kepner-Tregoe method). Each of them has its advantages and disadvantages.
It is noted that understanding the advantages and disadvantages of each method or model
will enable project managers to adapt their approach to specific situations, thereby
promoting productive cooperation and team cohesion. Regarding the management of conflict
management in projects, the study found that most scholars pay attention to Kenneth W.
Thomas and Ralph H. Kielmann's method, which provides five strategies for dealing with
conflict, each of which can be effective depending on the situation. Meanwhile, it is
noted that the issues of effective conflict management in projects require constant
attention and adaptation to the rapidly changing modern environment. Based on the
research, it can be concluded that the method of Kenneth W. Thomas and Ralph H. Kilmann
remains a very relevant, widespread and valuable tool. However, it is important to
realize that no one style of behaviour is universally effective, just as there is no
single correct method or model of conflict management. Conflict management in project
teams in today's changing environment cannot be carried out with the help of template
approaches, which emphasizes the critical need for continuous improvement of the
conflict management process, in the application of new adaptive approaches, in the
integration and synergy of different models and methods for effective conflict
management.
Risks of digital transformation in road transportation projects
Authors: Zaiats Olga , Oliinyk Anastasiia
Published: February 2025

The article demonstrates that the digitalization of road transportation projects
has the potential to increase the efficiency, safety, and convenience of logistics
processes, but at the same time it carries risks that require careful analysis and
management. The introduction of technologies such as process automation, artificial
intelligence, the Internet of Things, and cloud technologies opens up new opportunities
for the industry, but these innovations may face certain threats at different stages of
projects. The study examines the main types of risks and their sources. The main risks
of digital transformation projects in road transportation are technical failures,
organizational changes, resistance to the introduction of new technologies, and
increased complexity of data management. Information security is becoming a critical
aspect as digitalization increases the number of data exchanges, making systems
vulnerable to cyberattacks. Technical failures can lead to vehicle malfunctions and
disrupt logistics chains. Administrative risks include lack of sufficient skills to work
with new technologies, lack of clear organization and management procedures. Analyzing
these risks allows companies to identify potential problems in a timely manner and
develop management strategies aimed at minimizing negative consequences. Strategic
planning, investment in staff training, and information system security are important
elements of the successful digital transformation of road transportation projects. This
study examines the main risks associated with the digitalization of road transportation
and presents a qualitative and quantitative risk analysis that will further enable
decisions to be made to mitigate the impact of risk on the project.
Modern approaches to stakeholder management of transport companies' projects
Authors: Kravchuk Ivan , Lytvyshko Liliia
Published: February 2025

The article presents the results of a review of approaches to stakeholder
management of transport companies' projects. It is determined that the transport
industry is one of the basic industries of Ukraine and is critically important for the
country's economic sphere. The close connection of the transport industry with
enterprises in other areas of activity affects their full-fledged operation. Due to
political and social events, the COVID-19 pandemic, and the large-scale invasion and
armed Russian aggression, the transportation industry has been experiencing a deep
economic decline over the past 10 years, which is reflected in the overall picture of
Ukraine's GDP. The post-war economic recovery is impossible without the full-fledged
operation of the transportation industry. That is why transport enterprises need
government support and reforms through projects involving government institutions,
businesses, the public, and international organizations are necessary to minimize the
effects of the war and pre-war socio-economic disruption. The involvement of various
institutions and organizations in projects implies their fruitful and mutually
beneficial cooperation. All participants in the projects of transport enterprises are
stakeholders or stakeholders in such projects. Each stakeholder group has its own views,
requirements, interests, and goals in these projects, and, accordingly, influence on the
project to achieve its own goals and interests. Therefore, it is necessary to manage
these relationships and find a balance between stakeholder interests and project goals.
In order to formulate a stakeholder management strategy for transport companies'
projects, it is necessary to conduct a thorough analysis using tools to identify and
evaluate each stakeholder according to a number of parameters. The information obtained
will serve as the basis for developing a strategy for mutually beneficial cooperation
and finding understanding and balance of interests, goals, and satisfaction. The
prospect of further research is to find new or improve existing tools for analyzing
stakeholders in transport company projects, taking into account the specific details and
deep issues of the transport sector.