Global transformational processes associated with the geopolitical fragmentation of the world, changes in supply chains, and the emergence of threats to food, energy, logistics security, etc. have impacted the increase in the freight traffic volumes through the Ukraine-European Union (Ukraine-EU) land border section. In this context, the transport and logistics infrastructure on this section of the border was inadequate for the growing demand for international freight transport, leading to huge economic, social, and environmental damage to all participants in foreign trade. The aim of this paper is to study the efficiency of the functioning of the transport and logistics infrastructure on the Ukraine-EU border section. The taxonomy used in the paper made it possible to look into economic, security, geopolitical, logistics, transport, legal, and political factors shaping the freight traffic volumes, structure, and routes; their key trends and impact on the generation of freight traffic are described. Statistical analysis of freight traffic by border sections and with respect to border crossing points allowed the identification of bottlenecks in the functioning of the transport and logistics infrastructure and outlining ways to address them. The results of the study will be helpful both to researchers working on the issues of freight transport and to policymakers involved in transport and border infrastructure development.

This research underscores the importance of enhancing the early detection of diabetic retinopathy and glaucoma, two prominent culprits behind vision loss. Typically, retinal diseases lurk without symptoms until they inflict severe vision impairment, underscoring the critical need for early identification. The research is centered on the potential of leveraging fundus images, which offer invaluable insights by analyzing various attributes of retinal blood vessels, such as their length, width, tortuosity, and branching patterns. The conventional practice of manually segmenting retinal vessels by medical professionals is both intricate and time-consuming, demanding specialized expertise. This approach, reliant on pathologists, grapples with limitations related to scalability and accessibility. To surmount these challenges, the research introduces an automated solution employing computer vision. It conducts an evaluation of diverse retinal vessel segmentation and classification methods, including machine learning, filtering-based, and model-based techniques. Robust performance assessments, involving metrics like the true positive rate, true negative rate, and accuracy, facilitate a comprehensive comparison of these methodologies. The ultimate goal of this research is to create more efficient and accessible diagnostic tools, consequently enhancing the early detection of eye diseases through automated retinal vessel segmentation and classification. This endeavor combines the capabilities of computer vision and deep learning to pioneer new benchmarks in the realm of biomedical imaging, thereby addressing the pressing issues surrounding eye disease diagnosis.

This study investigates the impact of Corporate Social Responsibility (CSR) on employee job satisfaction within Pakistan's construction industry, with a focus on the mediating role of organizational commitment and the moderating role of perceived organizational support (POS). Employing survey data collected from a diverse range of construction firms across Pakistan, the quantitative analysis reveals that CSR initiatives significantly enhance employee job satisfaction, primarily through the mediating influence of organizational commitment. The findings suggest that when employees perceive their organization as socially responsible and engaged in community betterment, they exhibit greater commitment to the organization, which in turn fosters higher levels of job satisfaction. Although POS does not significantly moderate the CSR—job satisfaction relationship, it remains a critical factor in cultivating a supportive and positive work environment. This study contributes to the growing literature on CSR and employee outcomes by offering empirical evidence from a developing economy context. The results have practical implications for construction firms aiming to enhance employee morale and reduce turnover by leveraging CSR as a strategic tool to improve organizational commitment and overall job satisfaction.

This article explores the implications of directive change management, characterized by top-down leadership and minimal employee involvement, on organizational dynamics, employee morale, and job security. This approach's psychological and operational impacts are underscored, emphasizing the imperative of addressing employee perceptions and fostering trust. Strategies for rebuilding trust and enhancing morale post-directive change management are presented, including transparent communication, participative decision-making, and recognition of employee contributions. The significance of enhancing job security through clear policies, open dialogue, and robust mental health and well-being support systems is highlighted. Practices that encourage job dedication are introduced, emphasizing goal alignment, meaningful work design, and a culture of innovation and continuous improvement. Long-term strategies for cultivating a healthy workplace, such as establishing feedback mechanisms, investing in leadership development, and maintaining organizational adaptability, are also discussed. This brief article is an introductory resource for business leaders, managers, and change practitioners seeking to be better equipped with the necessary tools and strategies to navigate the post-implementation effects of directive change management. It is anticipated that this information can assist leaders and organizations in navigating the challenges of directive change management, promoting resilience, employee well-being, and sustainable organizational success.

The technological infrastructure is the basis for the successful implementation and operation of information systems in small and medium enterprises. The study aimed to demonstrate the impact of cybersecurity on entrepreneurship strategies in small and medium enterprises. Through technological infrastructure in Balqa Governorate. The study population consisted of small and medium enterprises in Balqa Governorate in Jordan. The study followed the descriptive analytical approach and relied on the questionnaire to collect data. The sample size was 360 individuals were randomly select. The Statistical Package for Social Sciences (SPSS) was use to analyze the data. The study reached a set of results, including that the management of small and medium enterprises is committed to continuous supervision and control of customer information. Dealing with reliable parties to ensure the confidentiality of information, following strict standards for disclosure and circulation of customer data and information based on legal texts. Maintaining the privacy of customers’ financial data, in addition to supporting the successes of individuals based on the personal efforts of employees, providing a suitable work environment for employees, sustaining excellence and achievement, and working to increase awareness among its employees of the importance of innovation and creativity in work. The study recommended that customer data confidentiality should be consider a top priority for small and medium enterprises. The data should be stored in more than one place at the same time, that project websites should follow a privacy policy, and that the customer’s identity should be verify before submitting his data and documents, by involving employees in small and medium enterprises in specialized courses and workshops to demonstrate the importance of data and information confidentiality.