Search Results (701)

Over recent years, venous ulcer wound care has experienced significant advancements through the application of machine learning (ML) models. The aim of the present study is a systematic, comprehensive analysis of prior research studies in this field covering the period between 2001 and August 2025. By searching multiple academic databases, including the Web of Science, Scopus, and PubMed, using relevant keywords and different queries, and screening reference lists of previously published manuscripts and review papers with a focus on the application of artificial intelligence in dermatology and medicine, an initial set of potential studies for review was obtained. To ensure the scope and relevance of the review, several inclusion and exclusion criteria were used to derive the final set of relevant research studies upon which a database for research data management was created. As a result, a total of 79 relevant research studies were comprehensively analysed, upon which detailed meta-analysis and analysis of application areas of ML models within venous ulcer wound care were conducted. Afterwards, a summary of benefits for medical systems and patients was given along with a general discussion regarding ML model limitations, trends, and opportunities, as well as research studies’ limitations and possible future research directions. The presented analyses may be valuable for researchers interested in applying ML models not only to venous ulcer wound care but also to other types of chronic wound care. Full article

The representation of atmospheric phenomena and, in particular, clouds was a prominent theme for painters during the transition from the eighteenth to the nineteenth centuries. During this period, under the influence of rationalism and encyclopedism, Luke Howard’s cloud classification (1803) was proposed, gaining followers among scientists and artists of the time. Among the latter, Goethe was instrumental, as he intensely promoted this cloud classification, even dedicating his own poems and drawings to it. From then on, some painters depicted cloud studies following the academic principles recommended by Goethe. Caspar David Friedrich did not adopt these principles and depicted clouds as bodies endowed with freedom and feeling, as fragments of soul. The work of P. H. de Valenciennes played a prominent role in this approach; it was translated into German and became a reference manual for Romantic landscape painting. This paper addresses the scientific and cultural context of that historical moment, studies the importance of the landscape, and its aerial aspect, in the painting of the time and details the role of Friedrich as a singular author of German Romanticism, who did not want to participate in the academic ideas of representing clouds, since the sky was, for this painter, a symbol of the transcendent. Full article

This article critically examines the growing interest in what most contemporary scholars consider still a new and underdeveloped mode of environmental storytelling in video games. Different models of games that provide strong narrative techniques within highly detailed, environmentally sophisticated land/soundscapes have been released over the last decade by well-known studios like Fullbright Productions, Giant Sparrow and Campo Santo. This new perspective will draw several critical questions formed from prior research in several foundational articles, the area of game studies and several journals directed at the question of how game spaces function as narrative devices. For example, an early 2016 article by John Barber for the Cogent Arts and Humanities, “Digital storytelling: New opportunities for humanities scholarship and pedagogy” was one of the first essays to explore how Fullbright’s well-known game Gone Home utilizes spatial design, object placement, and ambient details to convey stories without explicit narration. Gone Home, according to Barber and many others, continues to emphasize environmental storytelling as a form of semiotic communication—one where the “text” is the game world itself, inviting players to read and interpret more complex layers of literary meaning. Contemporary scholars have built on these more foundational studies to consider how AI and procedural generation further complicate narrative agency and structure in digital spaces, enabling the current study to consider what could be considered a distinctly post-AI theoretical perspective based upon these primary determinants: (a) how game environments may dynamically adapt narratives in response to player interaction and algorithmic input, and (b) the evolving notion of narrative agency in digital spaces where human and machine contributions intertwine in AI systems. The two chief aims of this proposal are thus to reconsider traditional environmental storytelling within new innovative, post-GenAI narrative frameworks and, looking at contemporary insights from leading examples in the field, deepen current academic understandings of narrative spaces in games from new narratological perspectives. Studies in this area seem uniquely valuable, given the rapid development of GenAI tools in creative content production and what appears to be a new epoch in narrative engagement in all interactive media. Full article

Despite being the most popular sutra tableau in Dunhuang, the utter lack of any comprehensive, or chronological academic analysis even in Chinese calls for a thorough research on the Medicine Buddha Sutra iconography at Dunhuang. This paper will explore the Medicine Buddha both in the literary form, the sutras, and the visual form, the sutra tableaux, when they first appeared in China during the Sui Dynasty. First, the relevant sections of the four Medicine Buddha Sutra translated in Chinese will be examined in detail. Then, the earliest four pictorial representations, namely Caves 417, 433, 436, and 394 at Dunhuang, will be scrutinized to establish a firm foundation of this said sutra tableau for later periods. By comparing the deities, and other special attributes presented in these images with what were recorded in the sutras, this paper reveals how the anonymous monastics and artists “re-presented” the Medicine Buddha from literary form to pictorial form, which embodies the intermediallity during the Sui Dynasty in Dunhuang. After analyzing how the textual elements such as the Medicine Buddha, attendant Bodhisattvas, Twelve Demigods, Four Heavenly Kings, and the magical life-prolonging instruments were depicted in the paintings, intermediality between the texts and imagery is brought to light. Two most decisive details, the small sizes of the cartouches for the inscriptions of the Twelve Demigods, and the number of Medicine statues that should be present at the ritual, clearly show the Medicine Buddha Sutra imagery painted during the Sui Dynasty in Dunhuang is based on the earliest Chinese edition, Sutra on the Initiation to Remove Unwholesome Deeds and Attain Salvation from Birth and Death Taught by the Buddha, translated by Śrīmitra. Full article

This research has successfully addressed the challenges attributed with SMS, including the fragmented data, heavy reliance on experience, and lack of life cycle integration. This study presents the development and validation of a novel sustainable material selection (SMS) model using Artificial Intelligence (AI). The proposed model structures the process around four core life cycle phases—design, construction, operation and maintenance, and end of life—and incorporates a dual-interface system. This includes a main credits interface for high-level tracking of 100 total credits to trace the dynamics of SMS in relation to energy efficiency, indoor air quality, site selection, and efficient use of water. Further, it includes a detailed credit interface for granular assessment of specific material properties. A key innovation is the formalization of closed-loop feedback mechanisms between phases, ensuring that practical insights from construction and operation inform earlier design choices. The model’s functionality is demonstrated through a proof of concept for SMS considering thermal properties, showcasing its ability to contextualize benchmarks by climate, map properties to building components via a weighted networking system, and rank materials using a comprehensive database sourced from the academic literature. Automated scoring aligns with green building certification tiers, with an integrated alert system flagging suboptimal performance. The proposed model was validated through a structured practitioner survey, and the collected responses were analysed using descriptive and inferential statistical analysis. The result presents a scalable quantitative AI-assisted decision-making support model for optimizing material selection across different project phases. This work paves the way for further research with additional assessment criteria and better integration of AI and Machine Learning for SMS. Full article

The energy sector is counted among the environmentally unfriendly branches in many global economies, including in Poland. However, it has been pivoting towards alternatives to traditional, high-emission energy generation from non-renewable sources for years. Renewable energy sources, or renewables, are a responsible response to today’s expectations concerning country-level sustainable development, driving the global green energy transition. However, the success of increasing the share of renewables in energy mixes hinges to a large extent on the public perceptions of the changes. In the broadest perspective, research today focuses on global energy transition policy and its funding, problems with the availability of energy carriers, and the adequacy of specific energy production and transfer systems from a technical and technological point of view. Academics tend to concentrate slightly less on investigating the public opinion regarding the challenges of energy transition. This aligns with a relevant research gap for Poland, particularly in rural areas. Therefore, the present article aims to analyse public opinion on environmental protection challenges and the ensuing need to improve energy sourcing to promote the growth of renewable energy in rural Poland, with a case study of five districts in Małopolskie Voivodeship, to contribute to the body of knowledge on these issues. The goal was pursued through a survey of 300 randomly selected inhabitants of the five districts in Malopolska, conducted using Computer-Assisted Personal Interviewing (CAPI) in 2024. The results were analysed with quantitative techniques and qualitative instruments. The detailed investigation involved descriptive statistics and tests proposed by Fisher, Shapiro–Wilk, and Kruskal–Wallis, using IBM SPSS v.25. The use of the indicated methodological approach to achieve the adopted goal distinguishes the study from the approach of other authors. The primary findings reveal acceptance of the ongoing transition processes among the rural population. It is relatively well aware of the role of renewables, but there is still room for improvement, therefore it is necessary to disseminate knowledge in this area and monitor changes in sustainable awareness. We have also established that, overall, educational background is not a significant discriminative feature in rural perceptions of the energy transition. The conclusions can inform policy models to promote green transformation processes, enabling their adaptation to the current challenges and needs of rural residents. Full article

This study investigates workplace stress-management practices and their relationships with employees’ well-being and productivity in accordance with Tayma University College’s goals in Saudi Vision 2030. Although stress-relief programs have been studied in detail in Western cultural environments, efficacy in the context of Saudi higher education institutions has proven to be limited, particularly as employee reactions are shaped by cultural, organizational, and institutional factors. This paper aims to explore the relationships between various other indicators, namely, mindfulness, time management, scheduling autonomy, and coworker support, and stress, job performance, and work–life balance. A convergent mixed-methods design was utilized, based on survey responses from 104 academic and administrative employees and semi-structured interviews with 20 respondents. The presentation of data demonstrated that time management was most consistently and significantly effective using SEM. In conclusion, time management was positively and significantly associated with increased schedule control, coworker support, and job performance, resulting in a more balanced work–life experience. Mindfulness had no significant or meaningful influence on perceived stress levels, while the influence of coworker support was more variable, and job performance experienced greater variation. Qualitative results confirmed this trend, as evidenced by the fact that time-management-oriented activities were incorporated into the daily routine, while mindfulness-related exercises were not well integrated with the cultural norms and work requirements. Within the university context of Saudi Arabia and with reference to the Job Demands–Resources (JDs–Rs) framework and the Transactional Model of Stress and Coping, the study also reveals that situational influences constitute a significant contribution to the development and use of stress-relief resources. Ultimately, the findings highlight the value of culturally relevant stress-management practices to facilitate the well-being, performance, and stability of employees with the backdrop of Saudi Vision 2030. Full article

Behavioral and educational researchers increasingly rely on rich datasets that capture how students respond to technology-enhanced instruction, yet few open resources document the full pipeline from experimental design to data curation in authentic classroom settings. This data descriptor presents a clustered quasi-experimental dataset on the impact of an instructional architecture that combines virtual reality (VR) simulations with artificial intelligence (AI)-driven formative feedback to enhance undergraduate students’ communication and problem-solving performance. The study was conducted at a large private university in Mexico during the 2024–2025 academic year and involved six intact classes (three intervention, three comparison; n = 180). Exposure to AI and VR was operationalized as a session-level “dose” (minutes of use, number of feedback events, number of scenarios, perceived presence), while performance was assessed with analytic rubrics (six criteria for communication and seven for problem solving) scored independently by two raters, with interrater reliability estimated via ICC (2, k). Additional Likert-type scales measured presence, perceived usefulness of feedback and self-efficacy. The curated dataset includes raw and cleaned tabular files, a detailed codebook, scoring guides and replication scripts for multilevel models and ancillary analyses. By releasing this dataset, we seek to enable reanalysis, methodological replication and cross-study comparisons in technology-enhanced education, and to provide an authentic resource for teaching statistics, econometrics and research methods in the behavioral sciences. Full article

Nature-Based Solutions (NBS) are recognized as urban strategies to face environmental degradation and climate change vulnerability to address social challenges. However, NBS are context-dependent and must be based on evidence. Thus, this document details the NBS implementation in a global south city such as Tijuana, a semiarid city at the Mexico–USA border, which has rapidly grown under poor urban planning, widespread irregular settlements, increase in air and water pollution, and limited green spaces. In response, six hectares of a severely eroded slope have been transformed by El Colef into Ecoparque, an Urban Resilience Laboratory. This academic initiative aims to enhance residents’ quality of life by analyzing environmental problems, raising awareness, and engaging the community, in addition to identifying opportunities for implementing NBS. This paper presents the 32 years’ experience of implementing NBS at Ecoparque, such as a constructed wetland as part of a wastewater treatment, reforestation with native plants grown in an in situ nursery, soil restoration using its own-produced compost, and urban ecosystem rehabilitation. Moreover, main challenges and upscaling opportunities are identified to adopt NBS in a Global South city. Results showed that the most relevant problems have been insufficient human and financial resources, as well as the lack of a proper legal framework. This study provides an analytical significance that could be useful to apply under similar contexts. Full article

The growing demand for transparency in sustainability reporting has compelled enterprises to look far beyond the boundaries of classical financial ratios when assessing their own performance. Environmental, social, and governance (ESG) indicators have dominated recent academic debate—primarily because of mounting regulatory and societal pressure. By contrast, the significance of other non-financial performance indicators (NFPIs), such as operational efficiency, quality management, and employee turnover, has been insufficiently explored, despite their importance for long-term competitiveness. Existing research is fragmented and provides limited integrative insights, which creates a clear gap regarding how ESG and non-ESG indicators collectively influence organisational performance. To address this gap, this study synthesises the NFPI landscape through (1) a combined bibliometric and systematic literature review, (2) detailed manual content analysis used to construct a theoretical framework integrating ESG and non-ESG indicators, and (3) expert validation to recommend a concise set of NFPIs for the manufacturing sector. Findings indicate that experts prioritise sustainability-related indicators, even when presented with a broader NFPI framework. This highlights a practical misalignment between theoretical expectations and industry focus. The study contributes a validated NFPI set and an integrative framework that aids more informed managerial decisions. Full article

Geotechnical information in digital formats remains difficult to access, as data are often dispersed across multiple sources, heterogeneous reports, and fragmented historical records. This fragmentation increases investigation costs, limits data reuse, and reduces the quality and reliability of engineering decisions. To address this challenge, this study aims to develop an open source digital system for storing and managing geotechnical information, structured around the international AGS standard to facilitate its use in both technical and academic applications. The methodology involved a review of existing geotechnical data management approaches followed by the construction of a relational model using an entity–relationship diagram, its transformation into a logical structure, and subsequent implementation in a database management system. After deployment, real geotechnical data were inserted to validate the system and generate simplified examples of practical use. The findings indicate that the AGS standard cannot be directly adopted as a database structure, requiring targeted adaptations to ensure efficient storage, validation, and querying. The developed system proved effective in standardizing, organizing, and retrieving geotechnical data, while also demonstrating versatility through seamless integration with Python-3.10 based analytical routines and GIS platforms. The main contribution of this research lies in presenting an open, modular, and AGS-aligned geotechnical data framework specifically adapted to the Brazilian context. While previous studies address important components of geotechnical data management, the approach presented here brings these elements together in a cohesive structure that supports reproducibility and future expansion. By detailing the rationale behind the digital adaptation of geotechnical information, the study provides a methodological path that supports replication and future system expansion. Full article

Background: Community-Based Participatory Research (CBPR) has proven effective in promoting health research in hard-to-recruit and underserved populations. Tai Chi Prime is a National Council on Aging-certified fall prevention program. However, it has not been widely disseminated in African American (AA)/Black and Latinx communities. Guided by the Consolidated Framework for Implementation Research (CFIR), this study examined the process of working with a community advisory board (CAB) to adapt and disseminate Tai Chi Prime within these communities, as well as facilitators and barriers to CAB success. Methods: Eight CAB members met with researchers monthly virtually over a two-year period. Meetings focused on reviewing Tai Chi Prime materials, discussing cultural adaptations, and identifying dissemination strategies relevant to AA/Black and Latinx communities. Detailed notes from 24 meetings were compiled. In addition, semi-structured interviews were conducted with five CAB members and two researchers to capture individual reflections on their experiences, roles, and perceived impact. Data was analyzed using directed content analysis. Results: CFIR constructs helped illuminate how CAB members’ embedded community expertise, organizational partnerships, available resources, shared vision and transparent communication influenced the cultural adaptation and dissemination of Tai Chi Prime. Study findings also highlight important areas that extend beyond CFIR, particularly the cultural knowledge and power-sharing responsibilities undertaken by CAB members as co-researchers. These insights underscore the need to integrate equity-focused and community-engaged research principles into implementation frameworks when working with communities of color. Conclusions: Findings highlight the value of leveraging existing academic–community partnerships. Community-engaged researchers can use the lessons learned from this CAB to build a replicable model of sustainable partnerships with their AA/Black and Latinx community partners, as can others involved in health services research and policy. Full article

This article focuses on the religious processes in Russia over the last fifteen years. The author has two objectives: on the one hand, to describe processes that can be called the second stage of the “religious revival” in contemporary Russia, and on the other hand, to place them within the context of theoretical discussions on secularization/desecularization. To achieve this goal, this article first examines the question of what secularization and, accordingly, desecularization are. Next, it describes the main trends in Russia’s religious life since 2012 at the macro-, meso-, and micro-levels. Then, the author examines numerous academic strategies aimed at “explaining religion away,” that is, proving that there has been no increase in the social significance of religion. Among these strategies, the following are considered in detail: (a) mixing empirical statements and value judgments; (b) instrumentalization of religion; and (c) religion finding “other work” to do. Finally, this article offers both a general evaluation of the Russian case from the perspective of secularization theory and broader reflections on the theory itself—for instance, it examines whether the theory is, in principle, falsifiable. Full article

The efficacy of phytoextracts is equally affected by the extraction solvent and the extraction method. Details of the solvent type, concentration, density, and other characteristics are associated with the quality of the resultant extract. Some solvents have been found to be effective only on specific parts of plants. Industry has shown a growing interest in eco-friendly plant extracts for the formulation of medication, food additives, cosmetics, and agricultural products. This interest is aligned with the proven necessity of sustainability, marketability, and regulation of manufactured products in value chains. In this review, the literature on antioxidant compounds and activity of extracts from African medicinal plants is reviewed. Findings indicate that the use of ethanol, methanol, water, and to a lesser extent, acetone as solvents for the extraction of antioxidant compounds is common. The use of these solvents is supported by decisive selection of procedure, ideal temperature, duration, solvent pH, and the extracted plant parts. Fermentation enhances the antioxidant activity of aqueous extracts but reduces that of alcohol extracts. This is particularly essential in continents such as Africa, where water is available but alcohol is scarce. “Green” extraction technologies are not as successful as solvent extractions for use with African medicinal plants. There is a financial hurdle that results in a mismatch between academic research innovations and societal transmission to new technologies, as most communities are dominated by small-to-medium enterprises. Further studies on the extraction of antioxidants from African medicinal plants are recommended to guide the research and link it to ordinary African societies. Full article

This study examines the influence of pedagogical agents on enhancing emotional engagement in higher education settings through the provision of cognitive and affective feedback. The research focuses on students in a collaborative “Database Systems and Design”, comparing the effects of feedback from a human teacher (control group) to those of an Affective Pedagogical Tutor (APT) (experimental group). Emotional engagement was measured through key positive emotions such as motivation, curiosity, optimism, confidence, and satisfaction, as well as the reduction in negative emotions like boredom, anger, insecurity, and anxiety. Results suggest that APT feedback was associated with higher levels of emotional engagement compared to teacher feedback. Cognitive feedback from the APT was perceived as supporting learning outcomes by offering detailed, task-specific guidance, while affective feedback further supported emotional regulation and positive emotional states. Students interacting with the APT reported feeling more motivated, curious, and optimistic, which contributed to sustained participation and greater confidence in their work. At the same time, boredom and anger were notably reduced in the experimental group. These findings illustrate the potential of affective pedagogical agents to complement educational experiences by fostering positive emotional states and mitigating barriers to engagement. By integrating affective and cognitive feedback, pedagogical agents can create more emotionally supportive and engaging learning environments, particularly in collaborative and complex academic tasks. Full article