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Found 6383 publications

Decision support systems for developing community-based tourism

Publication Name: Anatolia

Publication Date: 2026-01-01

Volume: 37

Issue: 1

Page Range: 176-194

Description:

This study explores decision-making processes in Community-Based Tourism (CBT) and proposes a framework for a Decision Support System (DSS) to guide rural tourism development. While tourism offers economic benefits and reduces inequality, many communities lack expert support in planning. To address this, the authors conducted a content analysis of research from the past decade using Scopus-indexed sources and Litmap mapping tools. An object-oriented approach was applied to identify key actors, indicators, and decision pathways in CBT. The resulting conceptual framework highlights how decisions are made and adjusted in rural tourism settings. This model serves as a foundation for a generalized DSS, offering communities a structured, adaptable tool for strategic planning and sustainable tourism management.

Open Access: Yes

DOI: 10.1080/13032917.2025.2591873

Corrigendum to “Synergistic enhancement of mechanical, tribological and electrochemical properties in thermally sprayed Al-WC & Al–Al2O3 composite coatings”(Journal of Materials Research and Technology, (2026), 42, C, (7306-7318), (S2238785426010562), 10.1016/j.jmrt.2026.05.003)

Publication Name: Journal of Materials Research and Technology

Publication Date: 2026-01-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

This corrigendum a = a is a = a issued to correct the affiliations of one of the author “Ilyas Khan” as given above. The authors would like to apologise for any inconvenience caused.

Open Access: Yes

DOI: 10.1016/j.jmrt.2026.05.212

Enhancing urban solar photovoltaic system performance evaluation through a disc spherical fuzzy aggregation framework

Publication Name: Journal of Computational Science

Publication Date: 2026-01-01

Volume: 93

Issue: Unknown

Page Range: Unknown

Description:

The integration of solar photovoltaic (PV) systems in urban environments promises great potential for sustainable energy applications. However, the unique characteristics of cities, the varieties of weather that occur at the place, and technology inefficiency make performance evaluation difficult. This paper sought to address the pressing need for a robust performance evaluation framework for urban solar PV systems by developing a disc spherical fuzzy aggregation framework. It develops basic algebraic aggregation operations in the framework of the disc spherical fuzzy set (D-SFSs), proving their completeness and describing their essential characteristics. These new operators conceived to operate on D-SFSs furnish theoretical robustness and provide the foundation for decisions made. A shining novel disc spherical fuzzy method is developed namely combinative distance-based assessment (CODAS) in D-SFS. A case study regarding the application of this model in the assessment of performance by urban solar PV systems is being conducted, thus proving the application aspect. Results come out positive in interpreting the decision-making dilemma and differences among several experts. This would, therefore, encourage various sectors to expand the use of D-SFSs in decision support systems and similar areas by showing how useful they can be in actual situations.

Open Access: Yes

DOI: 10.1016/j.jocs.2025.102758

Man-machine cooperation without explicit communication

Publication Name: 2010 World Automation Congress Wac 2010

Publication Date: 2010-12-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

This paper presents a novel method for control cooperation between human and robots without any explicit communication line. We have proposed a fuzzy communication philosophy and implementation technique, where the code books are built up by fuzzy signatures. Fuzzy signatures are used as complex state description method for intention guessing and action selection. Robots cooperation means also to define the commune task. In order to understand their cooperation the robots must have complete knowledge about all possible states of the work or to understand the context by extract useful information from observation. Present paper focus on the second possibility. We propose a strategy of information extraction and context understanding based on an original data structure, the fuzzy signature and on a priori knowledge, the robot codebook. The paper starts by presenting the concept of the fuzzy signature and exemplify the idea of cooperation by context understanding. © 2010 TSI Press.

Open Access: Yes

DOI: DOI not available

Empirical identification of the creative cognitive unconscious processes in the collective individuation concerning the World-Clock models: Part I. Pauli's World Clock dreams and some historical "world-Clock models"

Publication Name: 6th IEEE Conference on Cognitive Infocommunications Coginfocom 2015 Proceedings

Publication Date: 2016-01-25

Volume: Unknown

Issue: Unknown

Page Range: 587-606

Description:

This paper discusses the empirical identification of hypothetical unconscious creative processes of collective individuation on the basis of Pauli-Jung "World-Clock" interpretations comparing them with their historical ante-descents starting from the "revolutionary" double rotating Sephirotic (partly astronomical partly pleromatic 'World-Clocklike') circles as "models" of the Book Bahir and the Royal Mirror of St Stephen. According to our Jungian depth-psychological hypothesis the latter can identify the significant broadening of the creative reflective consciousness.

Open Access: Yes

DOI: 10.1109/CogInfoCom.2015.7390660

Text Mining Based on the Literature of Waste Management as the Source of a Reconstructed Time Series

Publication Name: Studies in Fuzziness and Soft Computing

Publication Date: 2024-01-01

Volume: 427

Issue: Unknown

Page Range: 71-80

Description:

As no statistical time series was available for the new refined, “split” concepts, the next goal of the research was generating a time series for all 33 factors, based on information in the literature, relying on the available expert judgment. Relying only on expert knowledge would have led to rather unreliable results, thus, an objective method for analysing the texts of the literature had to be proposed. Text mining seemed to be the easiest way to go, especially, as it promised to be the most suitable way to extract the time series in the time period covered by these literatures for all the new concepts. We assumed that this approach would allow the extraction of structured knowledge from the available unstructured or only slightly structured text files. Thus, the next step was to gather and transform the textual knowledge and information from these different document sources with applying proper machine intelligence. A specialised text mining expert company offered help as “sub-contractors” to the team’s research.

Open Access: Yes

DOI: 10.1007/978-3-031-37959-8_6

The Role of BIM in Managing Risks in Sustainability of Bridge Projects: A Systematic Review with Meta-Analysis

Publication Name: Sustainability Switzerland

Publication Date: 2024-02-01

Volume: 16

Issue: 3

Page Range: Unknown

Description:

With the significant and rapid growth observed in bridge projects worldwide, the associated environmental, economic, and social concerns are on the rise. A systematic review of bridge sustainability with meta-analysis according to the PRISMA guidelines was performed, aiming to improve understanding of the importance of using building information modeling (BIM) in bridge projects by investigating the role of proper implementation of this technology to avoid and mitigate risks and improve sustainability. The relevant international literature was collected and scrutinized. The findings demonstrated that the accurate implementation of BIM significantly enhances the efficient management of risks in bridge projects. Consequently, this has a positive effect on improving the three essential (environmental, economic, and social) aspects of sustainability. The impact mentioned is especially apparent in enhancing the management of information throughout the entire lifespan of a bridge. This, in turn, facilitates precise decision-making during the design phase, aligns with assessments of environmental impact, enables real-time monitoring during execution, effectively manages the maintenance of the structure, facilitates efficient allocation and utilization of resources, and improves design practices by providing designers with accurate information. Delving into the nuances of this review has shed light on the transformative potential of BIM in shaping sustainable bridge projects, laying the groundwork for future advancements in this critical field.

Open Access: Yes

DOI: 10.3390/su16031242

Direct Terpene extraction from aromatic herbs: Comparative evaluation of ultrasound-assisted stir bar sorptive extraction and ultrasound-assisted extraction by HPLC-PDA with AGREE/AGREEprep greenness assessment

Publication Name: Journal of Food Composition and Analysis

Publication Date: 2026-07-01

Volume: 155

Issue: Unknown

Page Range: Unknown

Description:

This study presents the development and comparison of two extraction methods: ultrasound- assisted stir bar sorptive extraction with liquid desorption (UA-SBSE-LD) and ultrasound-assisted extraction (UAE) for the isolation and quantification of six major terpenes and terpenoids (thymol, carvacrol, eugenol, p-cymene, γ-terpinene, and α-pinene) from culinary aromatic herbs. The analytes were analyzed by high-performance liquid chromatography with photodiode array detection (HPLC-PDA). For UA-SBSE-LD, the effects of key extraction parameters, including adsorption time, ionic strength, pH, desorption solvent composition, desorption time, and solid:liquid ratio, were investigated, while UAE was evaluated using a water–ethanol system without pH adjustment. Both techniques demonstrated excellent linearity (R² ≥ 0.9805), acceptable detection limits (0.21–17 µg/mL), and satisfactory recoveries (82–120%), meeting validation requirements. Applied to thyme, oregano, rosemary, and basil, UA-SBSE-LD outperformed UAE for volatile hydrophobic compounds like γ-terpinene and α-pinene, yielding higher extraction efficiencies without organic solvent pretreatment. UA-SBSE-LD achieved up to 6.89 mg/g of α-pinene from rosemary and 4.04 mg/g of eugenol from basil. The sustainability of the methods was evaluated using AGREE and AGREEprep tools, indicating a greener profile for UAE. The direct application of UA-SBSE-LD to solid plant matrices, coupled with HPLC-PDA, represents a sensitive alternative to gas chromatography-based methods for determining terpenes in food matrices.

Open Access: Yes

DOI: 10.1016/j.jfca.2026.109273

Representations of HRTFs using MATLAB: 2D and 3D plots of accurate dummy-head measurements

Publication Name: 20th International Congress on Acoustics 2010 Ica 2010 Incorporating Proceedings of the 2010 Annual Conference of the Australian Acoustical Society

Publication Date: 2010-12-01

Volume: 2

Issue: Unknown

Page Range: 1058-1066

Description:

Human Head-Related Transfer Functions describe the transmission from the free-field to the eardrums. HRTFs are measured on human subjects or on dummy-heads, characterized by the angle of incidence. The dummy-head measurement method allows the acquisition of data in high spatial resolution. Our setup provided HRTF data in 1 degree horizontal and 5 degrees elevational steps in different environmental settings. Spectral evaluation in spatial hearing research requires proper representation methods of detailed measurement data. Different 2D and 3D representation methods will be presented here, using different coordinate systems, color maps and additional filtering methods programmed under MATLAB. Figures are mainly helpful for HRTF analysis but MATLAB features allow other use for applications where directional characteristics, polar plots are required. Copyright© (2010) by the International Congress on Acoustics.

Open Access: Yes

DOI: DOI not available