Scalable sub-meter mapping of woody vegetation and structures across California’s heterogeneous landscape using deep learning

Mitochondrial dynamics in neurodegenerative diseases: Research hotspots and trends from 2005 to 2025.

Multi-graph Graph matching for coronary artery semantic labeling in invasive coronary angiograms.

Computational analysis of functional, structural and pathogenic impacts of missense SNPs in the human SOCS3 gene.

Encouraging unitary and compositional representations for relational concept learning.

This research aims to test a potential structural model that identifies the causal conditions affecting the rates of young people not in education, employment, or training (NEET). The study focuses on human capital and labor market policies (HCLM), innovation and economic integration (IEI), labor rights (LR), and unemployment rates (UER) that have the potential to affect NEET rates. For these variables, data from world-renowned organizations such as IMF, ILO, Labour Rights, etc. and data from a total of 46 countries in the Advanced-20 and OECD countries are considered. Structural equation modeling (via SmartPLS) analysis was conducted to determine the impact of causal conditions on the outcome and to map the importance-performance for policymakers. The study attempted to identify the conditions affecting NEET using regression analyses, structural model results, and importance and performance map analyses. According to the findings of the study, it was determined that the structural model of all variables predicted for NEET had a very good level of 73.6%. However, although the effect of all variables on NEET is significant, it was found that HCLM, IEI, and LR have an inverse relationship, while UER has a parallel relationship. According to the importance-performance results, the most short-term and high-impact factor to reduce the occurrence of NEET is determined as employee rights. Thus, the results of the research play a guiding role for policymakers regarding NEET, which is considered one of the factors that disrupt the sustainable socio-economic structure.

Cigarette smoke (CS) is a major risk factor for many respiratory diseases, including lung cancer, contributing to genomic instability, chronic inflammation, and impaired immune responses. Macrophages are among the most affected cell types, and CS-induced polarization has been increasingly associated with tumor promotion and reduced anti-tumor activity. G quadruplexes (G4) are non-canonical structures of RNA and DNA, enriched in G-rich sequences (such as telomeres or gene promoters), influencing several layers of gene expression regulation and DNA stability. More recently, genome-wide approaches have enabled high-resolution mapping of G4 structures in human cells, confirming the formation and functionality of G4 in multiple biological contexts. G4 structures can be bound and stabilized by small molecules such as RHPS4, with a consequent impairment of cell proliferation in cancer cells and downregulation of several pro-oncogenic factors. However, no studies have previously addressed whether CS exposure affects G4 formation or stability. Here, we found that CS exposure destabilizes G4 structure formation in cultured THP-1 monocytes differentiated into macrophages, antagonizing the effect of the G4 ligand RHPS4. In this context, CS exposure strongly induces the activation of IL-1β and TNF-α, both containing a G4 putative forming region in their promoters, suggesting that CS-linked cytokine modulation could involve a G4-dependent mechanism. Moreover, in proliferating THP-1, CS antagonizes the anti-proliferative effect of RHPS4 and has an opposite effect on the expression of G4 containing pro-oncogenic genes (like myc and bcl2). Overall, these findings showed for the first time a relationship between CS exposure and G4 structures, representing a new unexplored regulatory mechanism underlying smoking-related conditions and carcinogenesis.

This study conducts a comprehensive bibliometric analysis to map the evolution and research trends in agricultural development communication strategies over five decades (1974–2024). A dataset of 592 documents retrieved from Scopus was analyzed using biblioshiny. The results demonstrate a marked exponential growth in publications, particularly from 2021 onward, underscoring the rising global scholarly interest in this domain. Sustainability (Switzerland) was identified as the most prolific journal, while Wageningen University & Research emerged as the most active contributing institution. The most cited publication, Hard choices: Making trade-offs between biodiversity conservation and human well-being, amassed 705 citations, highlighting the critical discourse between conservation priorities and human welfare. Thematic evolution analysis reveals a distinct shift from early research foci on strategic planning and rural policy toward contemporary themes, including sustainable development, decision-making processes, and the adoption of digital technologies such as the Internet of Things. Network analysis indicates that the United States serves as the central hub for international collaboration, although significant research gaps persist across numerous regions. As the first holistic and longitudinal bibliometric study in this field, this research provides an unprecedented and structured literature map. It offers valuable guidance for scholars in defining future research agendas, selecting appropriate publication venues, and fostering academic collaborations, particularly within the interrelated areas of communication strategy, agricultural sustainability, and digital transformation.

Anti-UV films and composites play a critical role in protecting materials from ultraviolet-induced degradation, which can weaken polymers, reduce product lifespan, and compromise performance in sectors such as food packaging, outdoor coatings, and biomedical devices. The growing emphasis on sustainability and the need for environmentally friendly protective materials have further accelerated research on UV-shielding technologies that incorporate biopolymers, multifunctional additives, and renewable resources. This study presents a comprehensive bibliometric analysis of global research on anti-UV films and composites over the period 2014–2024. Data were retrieved from the Scopus database and analyzed using Bibliometrix (R package) and VOSviewer were employed to analyze publication patterns, map keyword networks, and visualize thematic evolution, as these tools enable robust quantitative and structural mapping of large bibliographic datasets. Three dominant thematic clusters were identified: (i) nanoparticle-based UV shielding using inorganic fillers such as ZnO and TiO₂, (ii) multifunctional films integrating UV protection with antibacterial and antioxidant properties, and (iii) biopolymer-based matrices emphasizing mechanical durability and environmental sustainability. These clusters highlight the convergence of performance, sustainability, and multifunctionality as key drivers shaping current research directions. Despite significant progress, the analysis reveals limited attention to scalability, industrial compatibility, and long-term performance evaluation. The findings underscore the need for future research to incorporate pilot-scale processing, life-cycle assessments, and interdisciplinary collaboration to bridge the gap between laboratory formulations and commercial implementation. Overall, this bibliometric study provides a consolidated understanding of the evolution and research landscape of anti-UV films and composites.

The security of cloud storage systems remains a critical challenge as the in-creasing interconnection of services exposes them to a wide range of cyber threats. This paper presents a methodology for analyzing the structural characteristics of vulnerabilities and threats in cloud environments using Q-analysis and associated metrics. By modeling the interdependencies between vulnerabilities and threats, the study provides a systematic framework to construct attack profiles and evaluate their likelihood of occurrence. The approach bypasses the direct construction of simplex complexes by employing incidence matrices to derive structural trees, local maps, and connectivity graphs, thereby simplifying the analysis process. Using real-world vulnerability statistics from the Edgescan report, we identify the most exploited weak-nesses, such as cross-site scripting and broken authentication, and link them to corresponding attack vectors. A statistical model of characteristic attack profiles is then developed by applying entropy-based optimization methods, particularly the Nelder-Mead algorithm, to estimate probabilities of threat realization under structural constraints. The findings demonstrate that this method enables more accurate classification and ranking of threats, offering a practical tool for risk assessment and decision-making in cybersecurity management. Ultimately, the proposed approach provides a foundation for improving resilience of cloud storage systems through informed protection strategies.

Purpose – This paper outlines the progression of the Talent Management (TM) scholarly body of work from 2001 to 2025, focusing on TM's unique application across different forms of Project-Based Organizations. The principal aim of this work is to crystallize the most important academic contributions concerning TM, review the themes that have formed, subsequently, ascertain potential avenues for further developing research, and connect talent strategies with project-based working environments. Design/Methodology/Approach - In our analysis of the procurement literature, we have determined that there are currently over 586 journal articles on procurement published in Scopus, which we conducted using Bibliometric Analysis, a tool used to perform performance metrics and author productivity metrics. In addition, also conducted Co-Authoring and Co-Word Analysis, and ultimately, we were able to construct a map of the intellectual structure of the field of TM based on the results of these analyses. For the most part, our map illustrated the existence of three major themes of interest regarding Talent Management: temporary project environments, knowledge-intensive project environments, and cross-functional team project environments. Findings - This study examines the gap between the publication frequency of an author and the citation metrics for that author. The citation metrics show that the “International Journal of Project Management” is currently the leading journal for this area, while the “BI Norwegian Business School” has had the greatest academic impact based on their position as a major publisher in the field. The majority of these articles were authored in Europe. In addition, this study identified the authors of the publications with the most citations as primarily the first authors. Research Implication/Limitation – The reliance on only one database, Scopus, has limited this study as it does not consider related studies contained in other databases. The limitations surrounding the keywords used as well as use of bibliometric tools have resulted in excluding some of the lesser-known subtleties and contextual factors. Despite these limitations, this research is able to provide an overall analysis of the current trends in talent management when applied to project-oriented environments. In the end, this provides practical information regarding how to harmonise the use of agile human resource management, leadership, and digital talent management strategies with successful projects. Originality - This rapid shift to project-based organizational structures has completely changed the way knowledge, human capital, and performance are managed in the dynamic environment.

Blockchain has been widely proposed to strengthen data management security through decentralization, immutability, and auditable transactions, capabilities increasingly recognized as enablers of sustainable digital ecosystems and resilient institutions; however, existing studies remain dispersed across domains and rarely consolidate governance, interoperability, and evaluation criteria. This paper conducts a systematic literature review of 70 peer-reviewed studies published between 2018 and 2024, using IEEE Xplore, Scopus, Springer, ScienceDirect, and ACM Digital Library as primary sources and following Kitchenham’s guidelines and the PRISMA 2020 flow, to examine how blockchain has been applied to secure data in healthcare, IoT, smart cities, supply chains, and cloud environments. The analysis identifies four methodological streams—empirical implementations, cryptographic/security protocols, blockchain–machine learning integrations, and conceptual frameworks—and shows that most contributions are technology-driven, with limited attention to standard metrics, regulatory compliance, and cross-platform integration. In addition, the review reveals that very few works articulate governance models that align technical solutions with organizational policies, which creates a gap for institutions seeking trustworthy, auditable, and privacy-preserving deployments. The review contributes a structured mapping of effectiveness criteria (confidentiality, auditability, availability, and compliance) and highlights the need for governance models and interoperable architectures to move from prototypes to production systems. Future work should prioritize large-scale validations, policy-aligned blockchain solutions, and comparative evaluations across sectors.

Baduanjin, a traditional Chinese Qigong exercise, has gained increasing scholarly attention for its post-COVID-19 health benefits. This study presents a bibliometric analysis to map research trends, identify influential contributors, and highlight future directions in Baduanjin research. The analysis is based on Scopus-indexed publications from 1982 to 2025, with a total of 525 documents included. The field has expanded rapidly since 2015, with a notable surge after 2021. Zheng G is identified as the most productive author, while Medicine (United States) emerges as the leading publication source. China remains the dominant contributor and central hub of collaboration, particularly with the United States, Malaysia, the United Kingdom, and Canada. Key research hotspots include mental health and well-being, rehabilitation and chronic diseases, traditional Chinese medicine and holistic health, ageing and physical function, and pulmonary rehabilitation. The conceptual structure map reveals Baduanjin’s multidisciplinary nature, integrating mental, physical, and therapeutic dimensions. Future research should enhance international collaboration, standardise methodologies, expand its scope among young adults and women, and further explore its role in preventative healthcare and education.

The article deals with the problems of geodynamics of the mountainous suburban area of Almaty and landscape zones of the State National Natural Park "Ile-Alatau", their condition and comparative assessments. Over the past decades, within these interconnected geosystems, the processes of active urbanization of the urban-suburban zone and the development of the lands of the national park have been taking place, leading to the destruction of natural ecosystems. National parks are necessary as comparative standards in the study of nature and the degree of ecological disturbance of geosystems. The preservation and constant monitoring of the condition of the marked geosystems with minimizing the risks of economic activity is not only practical, but also of great scientific importance for the component and complex study of geosystems in order to optimize them and further restore natural geosystems. The result of this work are maps of the landscape structure and their transformation, as well as an assessment of the current anthropogenic load on the natural environment of the studied area. Based on the presented data, it is possible to analyze the nature of the distribution of economic activity and make recommendations on unloading the "hot spots" formed as a result of anthropogenic activity.

Environmental sustainability in robotic surgery: a data-driven bibliometric mapping of global research trends, thematic evolution, and knowledge structures (1983-2025).

Despite continued efforts to digitize public services, many local government websites in emerging contexts still underperform in delivering satisfactory user experiences. This study develops an integrated evaluation framework that combines the ISO 25010 software quality model with the Technology Acceptance Model (TAM) to jointly assess system quality and user acceptance. We analyzed survey data from 524 users in Lombok Tengah, Indonesia, using Partial Least Squares Structural Equation Modeling (PLS-SEM) and Importance Performance Map Analysis (IPMA). The results indicate that functional suitability, usability, and reliability significantly shape perceived usefulness, whereas reliability, security, and performance efficiency drive perceived ease of use. Both perceived usefulness and perceived ease of use positively influence user satisfaction and behavioral intention, with satisfaction emerging as the strongest predictor. IPMA highlights performance efficiency and security as priority areas for improvement. The study contributes to e-government literature by proposing a dual layer model that links system level attributes to user-level perceptions and outcomes, and by translating statistical effects into actionable priorities for local governments seeking to enhance the quality and adoption of digital public services in semi urban developing regions.

ABSTRACT Inappropriate restudy can impair students’ conceptions of learning science (COLS), a construct linked to learning approaches and related outcomes. This study examined whether optimising restudy by integrating encoding materials with retrieval tasks can improve COLS in physics. We conducted a three-group pre–post quasi-experiment with 98 Grade 8 students in the Chinese mainland. Group A used linear knowledge summaries (LKSs) with exercises; Group B used LKSs with cued recall; and Group C paired expert-generated knowledge logic structure maps (K-Maps) with cued recall. Outcomes were overall COLS and its reproductive and constructivist dimensions. Relative to LKSs with exercises, K-Maps with cued recall produced significantly more constructivist overall COLS, while LKSs with cued recall showed a smaller, tentative advantage over exercises, whereas no reliable difference emerged between the two recall-based conditions on the overall index. For the subscales, both recall-based conditions tended to increase constructivist COLS, and K-Maps with recall showed a tentative reduction of reproductive COLS compared with LKSs with recall. These findings suggest that restudy designs that prioritise generative retrieval and make relations among ideas explicit can nudge students’ learning conceptions toward more constructivist orientations. Implications for classroom restudy and study-strategy design are discussed.

Job-shop scheduling plays a pivotal role in sustainable manufacturing because scheduling decisions strongly influence energy consumption, machine utilization, and environmental performance. Traditional job-shop scheduling research has mainly optimized makespan, throughput, and tardiness; however, growing sustainability pressures and Industry 4.0 technologies have shifted attention toward energy-conscious scheduling. This review systematically analyzes 2083 publications retrieved from SCOPUS, Web of Science, and IEEE Xplore to map the evolution of energy-efficient job-shop scheduling (EEJSS) models, methods, and industrial applications. Compared with prior surveys, this work contributes a sector-specific analysis, an updated classification of energy-aware models, and the first structured mapping of EEJSS research to sustainability and Industry 4.0 capabilities. Further, challenges such as computational complexity, absence of standardized energy benchmarks, limited industrial deployment, and narrow sustainability metrics are addressed. Overall, this review consolidates the state of EEJSS and positions energy-aware scheduling as a foundational enabler of low-carbon, resilient, and intelligent manufacturing systems.

Digital technologies have the potential to address multifaceted challenges in forest management. However, successful technologies must align with the needs and desires of intended users. We used a Delphi process to better understand forestry professionals’ digital and informational technology needs, seeking to converge expert opinions across multiple rounds of data collection and feedback. A mixture of qualitative and statistical analyses was used to analyze the priorities and rationales of forestry experts. Overall, respondents prioritized decision support tools (DSTs) supplying imagery and forest structure and species composition maps, while de-prioritizing DSTs for market availability and accessibility. The data also showed that these DSTs need high levels of reliability and compatibility with existing technology to be the most appealing for adoption. Our findings deepen our understanding of the digital technology needed and desired by forestry professionals in the eastern US and provide a foundation to guide future technological advances.

Efficient photocatalysts for water remediation require precise control of defects and phase composition, yet quantitative links between dopant level, polymorph evolution, defect chemistry, and photocatalytic activity remain incomplete. Herein, wafer‐scale combinatorial chemical beam vapor deposition is used to fabricate 6‐inch Nb x Ti 1−x O 2 wafers with a lateral niobium gradient ( x = 0.04–0.08), enabling spatially resolved mapping of structure–property relationships. Increasing Nb drives a progressive anatase‐to‐rutile transformation, with the rutile fraction rising from 2% to 49% across the wafer. Concurrently, Nb 5+ donor incorporation generates charge‐compensating Ti 3+ states and oxygen vacancies, which modulate the electronic structure and suppress carrier recombination. Photocatalytic benchmarking using methylene blue as a model probe reaction reveals a fivefold rate enhancement at the highest Nb level, establishing a direct correlation between dopant concentration, phase formation, defect chemistry, and photocatalytic performance. Importantly, the wafers exhibit operational stability and reusability over repeated cycles, retaining activity with minimal loss upon repeated use. These results establish a transferable phase–defect–activity framework and highlight Nb doping, combined with wafer‐scale combinatorial synthesis, as an effective strategy for designing durable TiO 2 ‐based photocatalysts for sustainable water treatment.