The growing need for reducing ܥܱଶemissions in the context of sustainable development has intensified the search for efficient analytical approaches to understand and manage emission drivers. In this paper, three machine learning models were developed using multiple linear regression for the countries of Bosnia and Herzegovina, Croatia and Slovenia. Renewable energy consumption, ܲܯଶ,ହ air pollution, ܦܩܲ per capita, foreign direct investment, urban population, forest area, and total population were used as inputs in the models, while ܥܱଶ emissions for the period from 2000 to 2020 were used as outputs. The developed models for all three countries have good performance, with ܴଶvalues of 91,34%, 77,91%, and 77,20% respectively. For Bosnia and Herzegovina urban population increases ܥܱଶemission, while renewable energy consumption and forest area decrease ܥܱଶ emission. In Croatia ܲܯଶ,ହ was the most influential factor that increases ܥܱଶemission.In Slovenia population growth decreases ܥܱଶ emissions, whileGDP per capita increases ܥܱଶ emissions. Also, hypothesis testing for differences between means was performed for all variables between all three countries. The findings showed that for almost all variables there were statistically significant differences in mean differences between all countries. Regarding ܥܱଶ emission there are not enough statistical evidence that Bosnia and Herzegovina have higher ܥܱଶ emissions than Croatia, while both Bosnia and Herzegovina, and Croatia have significantly higher ܥܱଶ emissions than Slovenia. This research shows the potential of machine learning models as tools for data-driven policymaking in the transition towards Industry 5.0 and a sustainable industrial future.

The imperatively excellent performance of wavelength-division multiplexing (WDM) transmission over a fiber optic link, demands flat, i.e. not wavelength-selective transfer function. This implies that, mostly during installation and commissioning of a WDM-aimed fiber link, it is of interest to measure its frequency response, by complex stimulus-response tests using a tunable laser source coupled with an optical spectrum analyzer. On the contrary, a simple and practically costless alternative that we propose here, is testing in time domain by means of the ubiquitous optical time-domain reflectometer (OTDR), considering its distinctly reflective trace pattern as approximation of the fiber channel two-way power-delay profile, whose rms delay spread is the straightforward indicator of the fiber attenuation vs. wavelength characteristics’ unflatness qualifying the fiber as either appropriate for WDM transport, or requiring piecewise “flattening” of the transfer function by applying coherent optical orthogonal frequency-division multiplexing (CO-OFDM). Specifically, the proposed OTDR – aided WDM suitability fiber test model applied on the exemplar traces, showed significant peak-to-peak DWDM spectrum unflatness, i.e. the pronounced frequency selectivity strongly indicating the need for introducing CO-OFDM on top of WDM. This was found to be monotonically tracked by the WDM transmission performance – the bit-error rate (BER) values in particular, measured with and without the CO-OFDM applied.

The aim was to investigate sex differences regarding shooting position, shooting technique, and shot placement preceding open-play goal scoring in the Swedish Super League (SSL) in floorball. Video recordings of 3751 goals were analysed to determine the goal scorers’ positions on the pitch when they took the shots and which type of shots they used. In addition, the placement of the ball when it entered the goal was determined. The proportion of goals from the playing zone closest to the goal was higher for women (P < 0.001), whereas the relative number of goals from the playing zones to the left of the goal and from the central playing zone farthest from the goal was higher for men (all P < 0.001). Women used wrist shots and backhand shots more frequently to score goals than men (both P < 0.01); conversely, the proportion of goals scored using slap shots and volley shots was higher for men (both P < 0.001). In terms of shot placement, the percentage of goals scored in top-left corner was higher for male players (P < 0.05). Hence, there are sex-related goal-scoring differences in SSL and the findings may inform coaches in refining tactics and training. Keywords: Sex difference, video analysis, unihockey, shooting technique.

Southeast European transition economies continue to struggle with turning innovative ideas into sustainable commercial successes. This paper examines the factors that drive effective and lasting Technology Transfer (TT) within emerging open innovation ecosystems in Bosnia and Herzegovina, Serbia, North Macedonia, and Albania. Unlike earlier studies that focus on a single country or rely on limited methods, this research adopts a comprehensive mixed-methods approach, combining a two-round Delphi study, focus groups, a needs analysis, and a survey of 100 companies.Using Partial Least Squares Structural Equation Modelling (PLS-SEM) on data collected from companies and research institutions, the study demonstrates that robust Intellectual Property Protection (IPP) exerts a significant and direct influence on enhancing technology transfer. In contrast, innovation capabilities alone do not significantly affect transfer outcomes. Instead, network dynamics strengthen these capabilities, which in turn support technology transfer — but only when embedded within solid institutional frameworks. These findings challenge the common assumption that innovation capabilities are sufficient for successful technology commercialization. They emphasize the critical importance of institutional quality and cooperation networks in transitional economies. At the theoretical level, the study integrates resource-based, institutional, and open innovation perspectives to address the “innovation-implementation” gap. Practically, it highlights key policy priorities: strengthening IPP enforcement, establishing specialized IPP courts, and fostering partnerships between universities and industry, as well as within innovation clusters. For companies and universities, developing absorptive capacity and engaging in cross-border collaborations are essential for maximizing the benefits of external knowledge. While limited by its regional focus and cross-sectional design, this research offers a nuanced framework for sustainable technology transfer in Southeast Europe and underscores the need for further comparative and longitudinal studies to deepen our understanding of this phenomenon.

The focus of this monograph is on the profound changes brought by the Fourth Industrial Revolution and the transition to the post-digital era, in which digital technologies, automation, and innovations shape industries, institutions, and everyday life. Digital transformation enables small and medium-sized enterprises (SMEs) and startups to achieve a more level playing field compared to global corporations, creating conditions for the development of dynamic entrepreneurial ecosystems. Startups, defined as temporary organizations designed to find a scalable, repeatable business model, are key drivers of economic development. The monograph focuses on digital entrepreneurship, business model innovation, open innovation, entrepreneurial finance, entrepreneurial marketing, the digitization of processes and global value chains, and the sustainable growth and development of post-startup ventures within contemporary ecosystems. Special attention is given to the circular economy as a key approach to reducing negative environmental impacts and transitioning from the linear “take–make–dispose” model to sustainable business models based on reuse, recycling, and repair. In this context, the growing importance of ESG principles is emphasized, as they integrate environmental, social, and governance dimensions into business strategies and contribute to long-term value and corporate reputation. The monograph addresses the critical question of the benefits that growing enterprises can achieve by adopting ESG principles, as well as how innovative business models create value for all stakeholders. Managing the development of micro, small, and medium-sized enterprises, digital entrepreneurship, growth strategies, and entrepreneurial management represents a thematic continuation and qualitative enhancement of the author’s previous editions. Finally, the monograph highlights the importance of continuously building entrepreneurial culture and innovative ecosystems as prerequisites for societal prosperity and for motivating new generations of entrepreneurs, researchers, and creators.

Background: The expansive advancement of technology has prompted scholars to investigate the links between external factors that influence the success of technology-based entrepreneurs, with particular emphasis on the link between national culture and technological entrepreneurial orientation. Purpose: This paper examines the relationship between national culture and technological entrepreneurial orientation during the early stages of entrepreneurial activity, utilizing Hofstede's national culture dimensions as a theoretical framework. Study design/methodology/approach: The empirical analysis was conducted using multiple linear regression, based on data obtained from the Global Entrepreneurship Monitor (GEM) database. The sample comprises 8,000 participants from Southeastern Europe. Findings/conclusions: The research findings indicate a statistically significant relationship between national culture and technological entrepreneurial orientation. A similar standard of living, associated with a lower index of power distance, is positively linked to technological entrepreneurial orientation, whereas the perception of entrepreneurship as a desirable professional career, typical of an individualistic society, is statistically significant but negatively associated with technological entrepreneurial orientation. A lower index of Power distance encourages innovativeness and efficiency in entrepreneurial ventures within high-tech sectors; conversely, Individualistic societies lead to a greater prevalence of enterprises in low-tech sectors. Limitations/future research: A group of drivers of technological entrepreneurial orientation was examined. We recommend that future research, in addition to national culture, also considers other factors, such as individual or sociodemographic factors.

Background: The clinical manifestations of cerebrovascular diseases (CVD) depend on the localization of the damaged region in the brain. Cognitive functions are often impaired following a stroke. Initially, CVD was referred to as atherosclerotic dementia, and was distinguished from senile dementia. Objective: The aim of this study was to examine how stroke severity and localization influence the development of vascular dementia (VD) and to identify which cognitive functions are impaired in certain types of VD. Methods: This prospective study included patients with acute stroke who were hospitalized at the Department of Neurology Tuzla, Bosnia and Herzegovina, over a one-year period. Patients were divided into the following groups: dementia of strategic infarct (DSI), cortical dementia (CD), subcortical dementia (SCD), haemorrhagic dementia (HD) and non-demented patient (NDP). Stroke localization, side and number of lesions were analyzed. Results: A total of 274 stroke patients were analyzed, of whom 190 (69%) were diagnosed with some type of VD. The odds ratio (OR) for the occurrence of dementia per point increase in NIHSS on admission was 1.131 (95% CI; 1.056 – 1.210). CD was more common in patients with right hemisphere lesions (p<0.000), whereas SCD was more frequent in those with bihemispheric lesions (p<0.0001). All assessed cognitive functions were significantly associated with CD and SCD (p<0.000). Visual perceptual (p=0.007) and visual constructive (p=0.016) functions were significantly impaired in patients with DSI. Executive functions were significantly impaired in all demented patients (p<0.0001). Conclusion: Stroke localization has a significant impact on the development of vascular dementia. All analyzed cognitive functions are significantly impaired in cortical and subcortical dementia. Visual perceptual and visual constructive functions are particularly impaired in patients with dementia of strategic infarct.

Background: Aphasia is an acquired communication disorder that affects language comprehension and production, typically occurring after brain damage. It is a frequent clinical manifestation of both benign and malignant brain tumors, particularly when lesions are localized in language-dominant areas. Objective: To assess the prevalence and characterize the types of aphasia in patients with intracranial tumors, emphasizing its clinical significance and the importance of early speech-language evaluation. Methods: This prospective study included patients with confirmed brain tumors diagnosed through neuroimaging (CT or MRI of the neurocranium), who were hospitalized at the Clinic of Neurosurgery, University Clinical Center Tuzla, over a one-year period. Patients with pre-existing aphasia of any etiology, as well as those who had not acquired reading and writing skills, were excluded. All assessments were performed prior to surgical intervention using the Boston Diagnostic Aphasia Examination. Results: Aphasia was diagnosed in 25 patients (27.5%). The most common type was anomic aphasia in 10 patients (40%), followed by Broca’s aphasia in 7 patients (28%), transcortical motor aphasia in 3 patients (12%), and transcortical sensory aphasia in 1 patient (4%). The highest number of patients with aphasia had tumors localized in the left temporal lobe, followed by the parietal and temporoparietal regions. Conclusion: Aphasia is a common clinical finding in patients with intracranial tumors, affecting more than one-quarter of the studied population. The distribution of aphasia types is consistent with the localization of lesions in language-dominant areas, particularly the left temporal lobe. Early recognition and detailed speech-language assessment are essential for timely intervention, rehabilitation planning, and optimizing functional outcomes.