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Chemical and bioactivity profiling of extractives from tropical wood residues
No full textWood residues and by-products from the furniture industry represent an underutilized resource with strong potential for integration into circular economy strategies. Extractives derived from these materials are rich in bioactive compounds, making them attractive candidates for bio-based product development. Although the functional properties of wood extractives are well recognized, their systematic recovery and characterization remain insufficiently explored in the context of green chemistry and sustainability. This study investigated the chemical composition and bioactivity of extractives obtained from industrial residues of three tropical hardwoods: Ipe (Handroanthus spp.), Merbau (Intsia spp.), and Jatoba (Hymenaea courbaril). Extractives were obtained via Pressurized Solvent Extraction (PSE) and characterized using gas chromatography (GC-FID and GC-MS). Ultrasound-assisted extraction (UAE) was subsequently applied for bioactivity evaluation. Green metrics, including the simple E-factor (sEF) and unit energy (UEC), were calculated to assess basic environmental efficiency. Gravimetric results showed a predominance of hydrophilic fractions (up to 97 % in Merbau), with major constituents including phenolics, fatty acids, flavonoids, and resin acids. Merbau and Jatoba extracts exhibited strong antioxidant capacity (IC50 < 75 μg/mL), while preliminary antimicrobial screening indicated selective activity of Merbau and Ipe against Staphylococcus aureus and Staphylococcus epidermidis, with Ipe also inhibiting Streptococcus pyogenes. These findings highlight tropical wood residues as renewable sources of bioactive compounds and support their valorisation in sustainable bio-based applications
Integration of Hybrid Animation in a 360-degree Environment
No full textThis paper addresses the lack of an existing pipeline for integrating Hybrid Animation in a 360-degree environment. While works like Google Spotlight’s Pearl showcase the expressive potential of cinematic VR (Virtual Reality) animation using stylized NPR (Non-Photorealistic Rendering) techniques, they lack the integration of 2D visual elements. We propose a pipeline that leverages accessible tools, including Blender’s Grease Pencil for 2D animation, NPR shading for stylized 3D rigs, and a 360-degree render using a metadata injector. Our framework makes hybrid 360-degree animation more accessible and adaptable, enabling future developments and creative applications
Implementation of the five stage response to intervention model for addressing students with learning disabilities in primary school
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Primerjava vpliva dveh različnih načinov treninga na natančnost in tehniko izvedbe odbojkarskih elementov pri odbojkaricah male odbojke
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Second homes as an interdisciplinary research topic
No full textThe article examines second homes as an interdisciplinary research topic by situating them within contemporary conceptualisations of second homes as enduring socio-spatial phenomena through a systematic analysis of the diploma theses in the Slovenian tertiary education. The study, based on a COBISS database, identified 64 students’ bachelor\u27s and master\u27s theses and doctoral dissertations that focus on the topic of second homes. Most of these theses could be classified into six disciplinary domains: architecture and landscape architecture (20), construction–energy technology–geodesy (13), geography (10), design and interior design (9), economy and tourism (5), and ethnology and cultural anthropology (3). The publication of the theses spans over more than four decades, demonstrating the long-term continuity and evolving thematic diversity of second-home research, while the research reveals that second homes represent one of the most enduring, diverse, and interdisciplinary topics. Geography has played a pioneering and sustaining role, providing conceptual and methodological foundations for understanding second homes as spatial processes linked to leisure mobility, landscape transformation, and tourism development, which have influenced research in other disciplines
Image-based analysis of tourist destination perceptions
No full textIn the context of fierce competition among tourist destinations and increasing difficulty of differentiation, developing a strong destination image is particularly important. A comprehensive understanding of how tourists perceive destinations through user-generated images can help destination management organizations (DMOs) design more effective marketing strategies. This is especially relevant for destinations with spatially and temporally dispersed tourism resources and strong seasonal dynamics. This paper analyses inbound tourist photographs by combining deep learning techniques with spatial analysis to examine the spatial and temporal distribution of photo scenes and shifts in scene preferences among tourists. The study focuses on three distinct types of destinations in Slovenia—urban (Ljubljana), nature-based/alpine (Bled), and coastal (Piran, Izola, Koper)—providing insights into how image-based spatial scene analysis can inform destination marketing strategies. The results reveal significant spatial and temporal heterogeneity of scenes across micro destinations. Nature-based destinations exhibit lower topic entropy and fewer topic changes per user, whereas urban destinations show higher variability, with users changing topics on average five times per day. Seasonal effects are moderate: nature-based destinations display lower topic entropy in winter and higher in autumn and spring, coastal destinations show less pronounced seasonal variation, and urban destinations show almost none. These findings provide valuable insights into the spatial and temporal distribution of tourist interests and offer practical guidance for DMOs in strategic marketing planning