Search Results (172)

Background/Objectives: Peri-implant mucosa plays a key role in both peri-implant health and aesthetics. Differences in contour and color between implants and natural teeth can negatively affect patient satisfaction, while soft tissue deficiency may lead to complications such as peri-implantitis. Peri-implant plastic surgery aims to improve these conditions. The objective of this study is to describe the trouser-shaped connective tissue graft technique designed to enhance vestibular and interproximal peri-implant tissue volume in a single surgical procedure, and to assess its effectiveness and morbidity. Methods: Ten patients requiring soft tissue augmentation in edentulous areas prior to delayed implant placement were selected. Intraoral scanning was performed before and 6 months after treatment to evaluate tissue thickness gain. Results: Significant soft tissue volume gain was observed at both the coronal (mean: 2.74 mm with a 95% confidence interval of 2.21–3.26 mm) and vestibular (mean: 2.79 mm with a 95% confidence interval of 2.24–3.35 mm) levels in all analyzed positions (p < 0.001). The procedure exhibited low morbidity, with minimal complications and discomfort reported by the patients. Conclusions: The trouser-shaped connective tissue graft technique is effective in increasing peri-implant soft tissue. It allows for vestibular and interproximal tissue augmentation in a single procedure, minimizing tissue contraction and morbidity. This technique could be a predictable and minimally invasive alternative for managing volume deficiencies in peri-implant tissues, particularly in aesthetic areas. Full article

This study examines the multifaceted impact of ecotourism and conservation initiatives on sustainable development in the Sobrarbe region of Spain, with a particular focus on the role of the Foundation for the Conservation of the Bearded Vulture (FCQ). Using a mixed-methods approach, including comprehensive document analysis and in-depth qualitative interviews, we investigate how ecotourism practices and land stewardship agreements contribute to local economic development, environmental conservation, and social well-being. Our findings suggest that while ecotourism has positively influenced the region’s development, significant challenges remain in balancing conservation efforts with tourism growth. The study provides nuanced insights into the complex interactions among conservation organizations, local communities, and tourism stakeholders, offering evidence-based recommendations for sustainable tourism development in rural mountain areas. By analysing the pioneering land stewardship agreement between the FCQ and the Aínsa-Sobrarbe municipality, we shed light on innovative governance models for sustainable regional development. This research contributes to the growing body of literature on social-ecological systems in mountain regions and provides practical implications for policymakers and conservation practitioners. Full article

This article presents a social and historical analysis of Barranco district in Lima, Peru, examining its evolution as a postmodern tourism destination. Through documentary analysis of historical records, guidebooks, press articles, and novels, we investigate the significant social milestones along history with cultural, and economic impacts on tourism development in Barranco. The research employs a methodology to identify key elements that have shaped Barranco’s trajectory from a fishing settlement to a bohemian district in a lively city and finally to its status as a “hipster” neighbourhood. Drawing on postmodern tourism theory and Hawley’s socioeconomic development theory, we argue that Barranco represents a distinctive case of how cultural capital transforms and resignifies tourism spaces through complex identity processes. Findings reveal that Barranco’s development follows three clear phases: rural settlement (until the 19th century), seaside resort (mid-19th century to 1940s–60s), and urban district with postmodern tourism appeal (1990s onward). The study concludes that while Barranco’s bohemian and artistic identity has become a distinctive tourism asset, the district faces gentrification challenges that threat its sociocultural diversity and authenticity. This research contributes to understanding how postmodern tourism influences territorial identity transformation and illuminates the social, historical, and economic forces that shape distinctive urban tourism destinations. Full article

Lithium disilicate ceramics (LDSs) are widely used in restorative dentistry for their excellent aesthetic and mechanical properties. Variants like zirconia-reinforced lithium silicate (ZLS) and advanced lithium disilicate (ALD) were developed to enhance these characteristics. However, differences in their physical and optical properties, as well as the influence of processing techniques (heat pressing vs. CAD-CAM), remain unclear. This study aimed to evaluate the physical and aesthetic properties of LDS, ZLS, and ALD ceramics. A systematic review and meta-analysis following PRISMA guidelines were conducted. Studies published in the last ten years were retrieved from PubMed, Web of Science, Scopus, Cochrane, and Scielo. The inclusion criteria encompassed in vitro studies analyzing LDS, ZLS, and ALD ceramics with quantitative data on mechanical and aesthetic properties. Meta-analyses were performed using a random-effects model, with subgroup analyses based on ceramic type and processing technique. Twenty-two studies met the inclusion criteria. Meta-analyses showed significant differences in flexural strength, hardness, surface roughness, wear, and translucency. The processing technique influenced these properties, with CAD-CAM materials exhibiting distinct performance compared to heat-pressed ceramics. Publication bias was assessed using Egger’s test and the Trim and Fill method, and heterogeneity via meta-regression. LDS showed the highest fracture resistance and least wear, while ALD had greater roughness depth. Heat pressing enhanced hardness and reduced roughness, whereas CAD-CAM improved flexural strength. Considering these findings and study limitations, LDS appears the most suitable option for clinical use due to its superior mechanical performance. Full article

Watermelon (Citrullus lanatus), a vital economic crop, is severely threatened by Fusarium wilt (FW), which is caused by the soil-borne fungal pathogen Fusarium oxysporum f. sp. niveum (Fon). To elucidate the molecular mechanisms underlying FW resistance in watermelon, we tracked the infection process via microscopy, identifying three critical time points (1, 6, and 8 days post-inoculation) corresponding to spore germination, hyphal invasion of the xylem vascular system, and symptom onset, respectively. Transcriptional profiling at these stages revealed six disease-resistance-associated gene modules through differential expression analysis, expression pattern clustering, weighted gene co-expression network analysis, and functional enrichment. These modules exhibited strong correlations with distinct infection phases. Protein–protein interaction networks identified 35 hub genes, including receptor-like kinases; WRKY and ethylene-responsive factor transcription factors; and genes involved in cell wall reinforcement, hormone signaling, defense metabolism/detoxification, programmed cell death regulation, and antimicrobial compound biosynthesis. Differential expressions of these genes across infection stages likely underpin the observed phenotypic disparities. Five hub regulatory genes were identified by quantitative real-time PCR in the SRgreen and SRblack modules, namely, Cla97C01G014990 (WRKY transcription factor 42), Cla97C02G042360 (calcium-transporting ATPase), Cla97C08G155710 (AIG2), Cla97C09G170380 (ethylene-responsive factor 1B-like), and Cla97C06G121810 (receptor kinase, putative). These genes mediate early rapid defense responses via SRgreen and sustain long-term resistance through SRblack. By validating the expression patterns of hub genes, the study elucidated the watermelon resistance response and provided insights into transcriptional regulation during different stages of Fon–watermelon interactions. Additionally, it identified candidate genes that could enhance watermelon resistance to wilt disease. Full article

Focus on form (FonF) teaching interventions have been widely employed to help second language learners notice a target grammatical form while their attention is on meaning, i.e., establishing new form–meaning connections. These interventions can be input-based, focusing on the processing of input (i.e., Processing Instruction), or output-based, focusing on production within communicative activities (i.e., Dictogloss). The current pilot study explored whether such teaching interventions would be beneficial for children with DLD. The study employed Processing Instruction and Dictogloss for the teaching of passives in two groups of Greek school-aged children with DLD. The study applied pre-tests and (delayed) post-tests to explore (a) the potential (long-term) effectiveness of the interventions, and (b) potential differences in their effectiveness within this population. The findings indicate that both Processing Instruction and Dictogloss can be promising interventions for Greek children with DLD since they both led to learning gains and retention two weeks after the interventions across all tasks (comprehension, production, and sentence repetition). However, Dictogloss was more effective in production, while Processing Instruction in sentence repetition (when accuracy scores are measured). Full article

Background/Objectives: Artificial intelligence (AI) algorithms for diagnosing colorectal polyps are emerging but not yet widely used. Trust in AI is lacking and could be improved by visually explainable AI, such as heatmaps. This study aims to investigate the association between heatmap position and AI accuracy for the endoscopic characterization of colorectal polyps. Methods: Four AI algorithms diagnosed 2133 prospectively collected images of 376 colorectal polyps from two hospitals, using histopathology as the gold standard. Heatmap position was compared to the human-annotated polyp position. Generalized estimating equations were used to assess the association between heatmap position and a correct AI diagnosis. Results: Higher percentages of heatmap covering the colorectal polyp were associated with correct diagnoses in all four algorithms (OR 1.013 [95% CI 1.006–1.019], OR 1.025 [95% CI 1.011–1.039], OR 1.038 [95% CI 1.024–1.053], and OR 1.039 [95% CI 1.020–1.058]—all p < 0.001). A higher percentage of polyp not covered by heatmap was associated with a correct diagnosis of Algorithm 1 (OR 1.006 [95% CI 1.003–1.010], p < 0.001), while in Algorithm 2, a lower percentage was associated with a correct diagnosis (OR 0.992 [95% CI 0.985–1.000], p 0.044). Algorithms 3 and 4 showed negative, but not statistically significant, associations. Conclusions: Higher percentages of heatmap covering the polyp were associated with correct diagnoses of four AI algorithms. This indicates that it is clinically relevant to strive for AI predictions with heatmaps covering as much colorectal polyp tissue as possible. Knowing how to interpret heatmaps could increase trust in AI and, with that, benefit the implementation of AI in clinical practice. Full article

This research investigates how historical architectural practices offer valuable solutions for contemporary climate adaptation challenges. Through systematic documentary analysis, we examine how European builders across centuries developed sophisticated construction techniques to address climate variability—techniques that remain relevant as we face increasingly extreme climate conditions. Our study focuses mainly on La Aljafería Palace in Zaragoza, Spain, a remarkable 11th-century Islamic structure that exemplifies bioclimatic design principles. We analyze its ingenious architectural elements—strategic courtyards, thermal mass management, passive ventilation systems, and innovative water features—that collectively create comfortable interior environments despite the region’s harsh summer climate. Similar analyses were conducted on historical structures in Italy, Greece, Portugal, and Cyprus as part of the ClimAid European project. Our findings reveal that these ancestral building practices utilized locally available materials and passive design strategies that required minimal energy inputs while providing effective climate regulation. We conclude that modern architects, conservationists, and policymakers face a dual challenge: developing strategies to reduce the vulnerability of historical structures to current climate impacts while also learning from and adapting these time-tested techniques to contemporary sustainable design. This research demonstrates how cultural heritage can serve not merely as an object of preservation but as a valuable knowledge repository for addressing present-day environmental challenges. Full article

Watermelon is one of the most important fruits in China, accounting for more than 70% of the world’s total output. Fusarium wilt of watermelon is the most common and serious disease in the cultivation of watermelon. It is mainly caused by Fusarium oxysporum f. sp. niveum (FoN), which has caused serious damage to the watermelon-planting industry. Some mycoviruses can reduce the pathogenicity of host pathogens and have the potential for biocontrol, so their application potential in the biological control of plant fungal diseases has attracted much attention. In this study, high-throughput sequencing was performed on 150 FoN strains isolated from three major watermelon-production areas (northern semi-arid area, northwestern arid area, and southern humid area) to detect the diversity of mycoviruses and to uncover new mycoviruses. The analysis identified 25 partial or complete genome segments representing eight previously undescribed mycoviruses. The existence of six mycoviruses was verified via RT-PCR. The southern humid area had the highest diversity of mycoviruses, with 15 species identified. Among these, 40% are dsRNA viruses and 33.3% belong to the family Chrysoviridae, representing the predominant viral type and family. In the northern semi-arid area, a total of 12 viral species were identified, among these 41.7% were +ssRNA viruses and 25% belonged to the family Mymonaviridae, constituting the main viral types and family. The northwestern arid area showed relatively low viral diversity, only containing three species. Two of these were +ssRNA viruses classified under the Mitoviridae and Potyviridae families. Notably, only one virus, Fusarium oxysporum f. sp. niveum Potyvirus 1 (FoNPTV1), was shared across all three areas. These findings reveal significant regional differences in the mycoviral species composition and distribution, highlighting the complex interactions between mycoviruses and FoN in different environments. By uncovering new mycoviruses associated with FoN, this study provides valuable resources for the potential biocontrol of Fusarium wilt in watermelon, contributing to sustainable disease management and improving the quality and safety of watermelon production in China. Full article

This study examines the mineral composition of volcanic samples similar to lunar materials, focusing on olivine and pyroxene. Using hyperspectral imaging (HSI) from 400 to 1000 nm, we created data cubes to analyze the reflectance characteristics of samples from Vulcano, a volcanically active island in the Aeolian archipelago, north of Sicily, Italy, categorizing them into nine regions of interest (ROIs) and analyzing spectral data for each. We applied various unsupervised clustering algorithms, including K-Means, hierarchical clustering, Gaussian mixture models (GMMs), and spectral clustering, to classify the spectral profiles. Principal component analysis (PCA) revealed distinct spectral signatures associated with specific minerals, facilitating precise identification. The clustering performance varied by region, with K-Means achieving the highest silhouette score of 0.47, whereas GMMs performed poorly with a score of only 0.25. Non-negative matrix factorization (NMF) aided in identifying similarities among clusters across different methods and reference spectra for olivine and pyroxene. Hierarchical clustering emerged as the most reliable technique, achieving a 94% similarity with the olivine spectrum in one sample, whereas GMMs exhibited notable variability. Overall, the analysis indicated that both the hierarchical and K-Means methods yielded lower errors in total measurements, with K-Means demonstrating superior performance in estimated dispersion and clustering. Additionally, GMMs showed a higher root mean square error (RMSE) compared to the other models. The RMSE analysis confirmed K-Means as the most consistent algorithm across all samples, suggesting a predominance of olivine in the Vulcano region relative to pyroxene. This predominance is likely linked to historical formation conditions similar to volcanic processes on the Moon, where olivine-rich compositions are common in ancient lava flows and impact-melt rocks. These findings provide a deeper context for mineral distribution and formation processes in volcanic landscapes. Full article

Red tourism, centered on historical sites of the Chinese revolution, serves as an educational tool that reinforces historical memory and patriotism among young people. Through a systematic literature review (PRISMA method), this research examines how red tourism meets learning needs regarding political culture by integrating tourism with education to enhance its pedagogical value. The important role of red tourism in patriotic education and the formation of national identity among Chinese youth is highlighted, although challenges such as the risk of political indoctrination and the lack of diversity in educational approaches are identified. The study proposes applying constructivist theories to improve the interactivity and effectiveness of red tourism in youth education and suggests integrating emerging technologies to enrich the educational experience. Full article

Distinguishing galaxies as either fast or slow rotators plays a vital role in understanding the processes behind galaxy formation and evolution. Standard techniques, which are based on the ${\lambda }_R$ spin parameter obtained from stellar kinematics, frequently face difficulties in classifying fast and slow rotators accurately. These challenges arise particularly in cases where galaxies have complex interaction histories or exhibit significant morphological diversity. In this paper, we evaluate the performance of a Convolutional Neural Network (CNN) in classifying galaxy rotation kinematics based on stellar kinematic maps from the SAMI survey. Our results show that the optimal CNN architecture achieves an accuracy and precision of approximately 91% and 95%, respectively, on the test dataset. Subsequently, we apply our trained model to classify previously unknown rotator galaxies for which traditional statistical tools have been unable to determine whether they exhibit fast or slow rotation, such as certain irregular galaxies or those in dense clusters. We also used Integrated Gradients (IGs) to reveal the crucial kinematic features that influenced the CNN’s classifications. This research highlights the power of CNNs to improve our comprehension of galaxy dynamics and emphasizes their potential to contribute to upcoming large-scale Integral Field Spectrograph (IFS) surveys. Full article

This study proposes a comprehensive framework for integrating data-driven approaches into policy analysis and intervention strategies. The methodology is structured around five critical components: data collection, historical analysis, policy impact assessment, predictive modeling, and intervention design. Leveraging data-driven approaches capabilities, the line of work enables advanced multilingual data processing, advanced statistics in population trends, evaluation of policy outcomes, and the development of evidence-based interventions. A key focus is on the theoretical integration of social order mechanisms, including communication modes as institutional structures, token optimization as an efficiency mechanism, and institutional memory adaptation. A mixed methods approach was used that included sophisticated visualization techniques and use cases in the hospitality sector, in global food security, and in educational development. The framework demonstrates its capacity to inform government and industry policies by leveraging statistics, visualization, and AI-driven decision support. We introduce the concept of “institutional intelligence”—the synergistic integration of human expertise, AI capabilities, and institutional theory—to create adaptive yet stable policy-making systems. This research highlights the transformative potential of data-driven approaches combined with large language models in supporting sustainable and inclusive policy-making processes. Full article

NPS6 is one of the nonribosomal peptide synthetase (NRPS) family members. The roles of NPS6 in ascomycetes are well known, but its roles in Fusarium oxysporum are unidentified. We investigated its function in the growth, morphology, stress sensitivity, allelochemical secretion, and pathogenesis in F. oxysporum (FoNPS6). The partial deletion of FoNPS6 orthologs (ΔFON-NPS6) resulted in hypersensitivity to H₂O₂ and KO₂, iron depletion, and reduced virulence. Full virulence was restored by complementation. ΔFON-NPS6 not only inhibited spore formation but also displayed hyphal growth patterns that differed significantly from the wild-type strain. Plant leaching released allelochemicals, which FON-NPS6 broke down. All of these findings show that FoNPS6 quantitatively increases F. oxysporum’s pathogenicity. Full article

Background: Guidelines recommend the extension of the pelvic radiotherapy volume to the para-aortic region in locally advanced cervical cancer and ≥3 suspicious pelvic lymph nodes (PLN) on imaging. Whether this recommendation is also valid for clinically early stages is uncertain. The objective of this study was to investigate the para-aortic (PAO) lymph node recurrence rate in patients with early-stage cervical cancer, ≥3 metastatic PLN, and negative common iliac nodes after a radical hysterectomy followed by pelvic (chemo)radiotherapy without extension to the PAO region. Methods: Consecutive patients, surgically treated between 2000 and 2020, with FIGO 2009 stage IB2-IIA1 and positive PLN, were included in this retrospective cohort study. The frequency of PAO recurrences, disease-free survival, and overall survival were analyzed in patients with <3 versus ≥3 positive PLN. Results: In 127 patients, the isolated PAO recurrence rate was 2/88 (2.3%) versus 1/39 (2.6%) for patients with <3 versus ≥3 positive PLNs, respectively (p = 0.671). The 5-year disease-free survival (87.3% versus 73.7%; p = 0.088) and the overall survival (90.7% versus 76.5%; p = 0.355) between patients with <3 versus ≥3 positive PLN was not significantly different. Conclusions: Isolated PAO nodal recurrence rate in women with early-stage cervical cancer after radical hysterectomy and pelvic lymphadenectomy, with positive PLN but negative common iliac nodes, followed by pelvic (chemo)radiotherapy, is low and did not differ between the groups with <3 versus ≥3 positive PLN. This makes it unlikely that the inclusion of the PAO region in the adjuvant radiotherapy volume would result in a better oncological outcome. Full article