Search Results (5,313)

Observation of welding features is important for GMAW training and instruction because the welding arc, molten pool, filler wire, and groove can be difficult to distinguish during welding. In this study, a compact, low-cost, and practical visualization system was developed to support gas metal arc welding (GMAW) skill training from both the welder’s and instructor’s perspectives. The system consists of a welder-side unit and an instructor-side unit and uses a commercial camera, optical filters, a wide-angle lens, and a compact computer. Welding images were acquired under actual GMAW conditions, and the effects of optical filter selection, exposure time, tone mapping, and trimming methods were investigated. A 600 nm long-pass filter and an exposure time of 20,000 μs provided a suitable balance between arc-light suppression, brightness stability, and image clarity. Gamma correction improved the visibility of key regions, including the molten pool, arc, torch, groove, and wire. In addition, low-pass-filtered centroid tracking enabled stable trimming of the weld region from wide-angle images. The developed system achieved real-time display and recording of standardized welding images, demonstrating its potential to support GMAW training through improved image visibility, real-time monitoring, and standardized image recording, while also providing visual data for post-weld review and future skill-assessment applications. Full article

Background: Neovascular age-related macular degeneration (nAMD) remains a leading cause of irreversible central vision loss. Although anti-vascular endothelial growth factor (anti-VEGF) therapy has transformed management, pivotal trials enrolled exclusively treatment-naïve patients, leaving clinicians without pooled evidence to guide switching decisions in previously treated eyes. This systematic review and meta-analysis assessed real-world visual, anatomical, durability, and safety outcomes following switching to aflibercept 8 mg in previously treated nAMD. Methods: Following PRISMA 2020 guidelines, we searched PubMed, Embase, Web of Science, CENTRAL, Scopus, and Google Scholar through April 2026. Studies reporting switching to aflibercept 8 mg with change in best-corrected visual acuity (BCVA), central subfield thickness (CST), or treatment interval were included. Continuous outcomes were pooled using random-effects models with Hartung–Knapp–Sidik–Jonkman adjustment; proportions were estimated using generalized linear mixed models. Methodological quality was evaluated using the JBI Critical Appraisal Checklist for Case Series. Certainty of evidence was assessed using GRADE. The protocol was registered with PROSPERO (CRD420261371334). Results: Twenty-one studies met inclusion criteria. BCVA remained stable (WMD: −0.017 logMAR; 95% CI: −0.027 to −0.007; +0.83 ETDRS letters; I² = 0%). CST decreased significantly (WMD: −21.5 µm; 95% CI: −29.3 to −13.7; I² = 56.0%), and treatment intervals extended by +1.79 weeks (95% CI: +1.32 to +2.27; I² = 74.3%). Intraretinal and subretinal fluid each resolved in 37.5% of eyes. Intraocular inflammation was rare across 9959 treated eyes, though this pool was not restricted to switched eyes, with no confirmed retinal vasculitis. Sensitivity analyses confirmed robustness across all co-primary estimates. GRADE certainty was low for BCVA and very low for CST and treatment interval. Conclusions: Low-certainty evidence suggests that switching to aflibercept 8 mg preserves visual acuity, while very-low-certainty evidence suggests reductions in central subfield thickness and modest extension of treatment intervals. Intraocular inflammation was rare, though safety denominators included non-switch eyes. These findings provide preliminary pooled estimates to inform switch decisions in previously treated eyes. Full article

The rapid advancement of information technology and multimedia applications has led to an increasing demand for video data processing. In particular, video fusion technology in multi-camera environments, which integrates and optimizes video data from multiple camera viewpoints, plays a crucial role in enhancing visual quality and improving the completeness of information. This technology addresses the challenge of obtaining high-quality video content in complex and dynamic environments. By improving image clarity, expanding perspective information, and enhancing scene understanding, video fusion technology has shown significant potential for a wide range of applications, attracting considerable attention from both academia and industry. Despite the existence of several review articles on video fusion, they tend to focus on isolated aspects of the technology and often lack a comprehensive, systematic overview of the field. To fill this gap, this paper provides an in-depth review of the research on video fusion technology in multi-camera scenarios. The paper covers the definition of video fusion; offers a detailed classification of key technologies, such as geometric correction and alignment, perspective fusion, spatio-temporal fusion, and multi-modal fusion; and explores its applications in diverse fields including surveillance security, virtual reality, film and television production, intelligent transportation, medical imaging, robotics, and unmanned aerial vehicles. Additionally, the paper examines the role of edge caching in video fusion, highlights the current challenges faced by the field, and discusses the potential of video fusion technology for driving innovation across multiple industries. Full article

Background: Treatment monitoring in pulmonary tuberculosis increasingly requires assessment of residual inflammatory burden and structural lung damage beyond microbiologic response alone. High-resolution computed tomography (HRCT) can provide this information, but interpretation of serial examinations is time-consuming and partly subjective. This study did not aim to evaluate AI for the diagnosis of pulmonary tuberculosis. Instead, it explored whether artificial intelligence (AI)-assisted quantitative HRCT analysis could support longitudinal assessment of treatment-related imaging changes in patients with microbiologically confirmed pulmonary tuberculosis. Methods: We conducted a retrospective, single-center, exploratory longitudinal study of patients receiving treatment for pulmonary tuberculosis. HRCT examinations acquired at diagnosis and during follow-up were anonymized, reviewed by an expert thoracic radiologist, and processed using AVIEW Lung Texture (Coreline Soft v2.0). The software quantified total lung volume and six predefined parenchymal categories: normal lung, ground-glass opacity, consolidation, reticulation, honeycombing, and emphysema. Results: Ninety-six patients contributed 256 HRCT examinations. The most frequent software-detected abnormalities were ground-glass opacity, consolidation, and emphysema-labeled low-attenuation areas. Ground-glass opacity and consolidation showed the clearest decline across serial examinations, consistent with regression of active inflammatory disease during treatment. Reticulation showed a heterogeneous course, likely reflecting both inflammatory resolution and residual structural remodeling. Honeycombing was infrequent and quantitatively limited. Lung volume changed variably and did not consistently parallel visual improvement. A key methodological limitation was the absence of a dedicated cavity class. As a result, emphysema-labeled low-attenuation areas should not be interpreted as conventional emphysema alone, because tuberculous cavities and post-destructive abnormalities were frequently included in this category. Conclusions: AI-assisted HRCT quantification may support longitudinal assessment of pulmonary tuberculosis by providing structured and reproducible measures of interval change. However, tuberculosis-specific interpretation remains dependent on expert radiologic oversight, particularly in cavitary disease. Full article

Background: Flexible bronchoscopy (FB) has long been integral to pulmonology, but its bedside role in the intensive care unit (ICU) is expanding. Despite a lack of high-level evidence, FB remains a pivotal tool for airway visualization, sampling, and selected interventions in critically ill patients. Objective: This meta-narrative review critically appraises the clinical use, evolving indications, safety profile, and emerging controversies of FB in ICU settings, particularly regarding the role of non-pulmonologist intensivists. Methods: A structured literature search was conducted using PubMed, Scopus, and Google Scholar for studies published in the past 15 years. Emphasis was placed on observational studies, meta-analyses, and guidelines relevant to FB in ICU patients. Key controversies were grouped under thematic questions based on clinical relevance. Results: A total of 84 articles were retrieved, of which 47 met the predefined inclusion criteria. Seven key thematic domains were synthesized regarding the use of flexible bronchoscopy (FB) in the intensive care unit (ICU) setting. FB performed by trained intensivists was found to be safe and diagnostically effective across a range of ICU populations, including elderly and non-intubated patients. Although procedure-related hypoxemia was reported, it was largely manageable with appropriate precautions. FB demonstrated critical utility in the management of acute respiratory failure (ARF), acute respiratory distress syndrome (ARDS), and sepsis, particularly through bronchoalveolar lavage (BAL), airway secretion clearance, and, selectively, bronchoscopic lung biopsy. The adoption of disposable bronchoscopes may reduce infection risk and economic burden. Furthermore, the integration of advanced techniques such as endobronchial ultrasound (EBUS) and transbronchial cryobiopsy is emerging, although application in the critical care environment remains cautious and selective. Conclusions: With structured training and careful patient selection, FB is an adaptable and often underutilized tool in ICU medicine. Multidisciplinary competency development and institutional protocols can enhance its safe integration. Full article

Game-based learning (GBL) has gained widespread attention as an innovative pedagogical approach, yet its potential to enhance students’ metacognitive learning remains underexplored. Guided by self-regulated learning (SRL) theory, the review investigates how GBL design features, such as goal-setting, real-time feedback, progress visualization, and reflection tools, scaffold students’ planning, monitoring, and evaluation strategies. A systematic search across Web of Science, Scopus, and ProQuest identified the studies, which included data from physical classrooms, online learning environments, and mixed settings. This scoping review synthesizes evidence from 11 peer-reviewed studies conducted between 2015 and 2025 to evaluate the impact of GBL on metacognitive learning in primary and junior middle school contexts. Findings reveal that GBL effectively supports metacognitive learning through real-time feedback and progress indicators, though planning and evaluation scaffolds are less comprehensively addressed. Furthermore, digital trace data and behavioral logs are emerging as robust tools for assessing metacognitive processes, offering deeper insights than self-reports alone. However, the review identifies critical gaps, including insufficient focus on junior middle school students, limited representation of non-STEM disciplines, and uneven theoretical grounding across studies. The findings underscore the need for theory-driven design and balanced scaffolding to maximize GBL’s potential in fostering metacognitive competence. This study also provides practical insights for educators to foster students’ metacognitive learning by effectively integrating games into educational practices. Full article

Background: Coronary bifurcation lesions represent one of the most technically demanding scenarios in coronary artery disease (CAD), associated with higher procedural complexity, restenosis, and periprocedural complications. Recent advances in coronary computed tomography angiography (CCTA) have markedly improved its ability to visualize complex coronary anatomy, assess plaque morphology, and guide revascularization. Objectives: This review summarizes (1) technological advances in CCTA over the last decade, (2) its role in evaluating bifurcation stenosis, (3) assessment of plaque morphology and distribution, (4) quantification of bifurcation geometry, and (5) emerging evidence supporting its application in revascularization planning and guidance. Findings: Modern wide-detector and dual-source CT systems, iterative and deep-learning reconstruction algorithms, and photon-counting CT (PCCT) have significantly improved temporal and spatial resolution, reduced blooming artifacts, and lowered radiation dose. CCTA now reliably quantifies bifurcation stenosis and plaque distribution, characterizes high-risk plaque features, and accurately measures bifurcation angles. The integration of CT-derived fractional flow reserve (FFR-CT) and artificial intelligence (AI)-based plaque quantification further strengthens its diagnostic and prognostic performance. CCTA-derived bifurcation scores and 3D modelling support procedural strategy selection, stent sizing, and side-branch (SB) protection. Conclusions: CCTA has evolved into a comprehensive tool for non-invasive diagnosis, physiological assessment, and pre-procedural planning of bifurcation disease. With the advent of PCCT and AI-enhanced quantitative tools, CCTA is poised to become a central component of revascularization decision-making in complex coronary bifurcations. Full article

The sustainability, crop production, and food safety of agriculture are increasingly challenged by microplastic pollution, as agricultural soils are the largest reservoirs and may serve as points of contact for plastic particles in the food chain. This review provides a comprehensive overview of plant materials, fate and uptake pathways, detection techniques, and the possible risks of microplastics in agriculture. Agroecosystems are also a source of microplastics, such as plastic mulch films, sewage sludge, compost and manure additives, wastewater irrigation, polymer-coated fertilizers, greenhouse materials, atmospheric deposition, and decomposition of discarded agricultural plastics. Their distribution and mobility in soil are controlled by polymer composition, particle size, morphology, density, surface ageing, soil texture, organic matter content, tillage practices, runoff, leaching, and soil biota. Recent data show that microplastics, especially smaller microplastics and nanoplastics, can attach to root surfaces, penetrate plants via cracks in roots, areas of lateral root development, and apoplastic pathways, and eventually move to tissues aboveground. Plant tissue detection is often accomplished by digestion of the sample, density separation, visual and fluorescence microscopy, Fourier-transform infrared spectroscopy, Raman spectroscopy, pyrolysis–gas chromatography mass spectrometry, and electron microscopy, but standardization of these methods remains a significant challenge. Microplastics can disrupt seed germination, root structure, nutrient absorption, photosynthesis, oxidative homeostasis, biomass buildup, yield development, and quality. Further, their capacity to transport additives, plasticizers, heavy metals, and persistent organic pollutants raises concerns about the transfer of contaminants to edible plant parts and their potential transfer to human diets. Further studies are needed focusing on field-realistic exposure conditions, long-term crop–soil interactions, nanoplastics behaviour, standardised analysis procedures, uptake and translocation pathways, edible crop risk assessments, and sustainable mitigation approaches to reduce microplastics in agroecosystems. Full article

Smart city planning involves a wide range of knowledge domains. However, general intelligent Question Answering systems often fall short when applied to this domain, and the relevant studies are not yet sufficient. To this end, this paper constructs an intelligent QA system that combines a large language model with a domain-specific knowledge graph. Capable of understanding questions accurately and generating professional answers, this system is designed to provide efficient knowledge services for smart city planning by following four steps. First, based on four authoritative planning guidelines, a domain-specific knowledge graph with a four-layer framework is constructed using Neo4j Community Edition 5.26.24. The framework includes top-level goals, knowledge modules, standard terminology and community scenarios. Subsequently, natural language questions are classified and matched with the templates before being converted into structured queries. Finally, the system performs Cypher query language queries and invokes ChatGLM4 to generate professional answers. The knowledge graph contains 100 entity nodes and 44 relations, and its ontology layer defines 28 entity types and 12 relation types. Therefore, the domain knowledge is structured and visualized, and planning professionals can intuitively retrieve diverse planning elements. In addition to its intelligent knowledge query function, this system assists planning professionals in preparing planning schemes and verifying compliance, reducing the time spent on reviewing regulations and comparing clauses, improving the efficiency of scheme preparation, and facilitating the refined implementation of urban renewal projects. It has high application value in smart city planning practices. Its construction approach can also serve as a reference for intelligent knowledge services in other fields. Full article

This study aimed to analyze the observed variations in the research competencies of first-year nursing students following the implementation of a pedagogical problem-solving strategy based on Polya’s method and integrated with STEM technological resources. The study was conducted within the context of higher education, where strengthening research skills in the early stages of academic training continues to represent a formative challenge. A pre-experimental pretest–posttest design with a single group was employed, involving 69 students enrolled in an introductory research course. The intervention was implemented over 16 weeks and structured according to the four phases of Polya’s method—understanding the problem, planning, execution, and review—while also integrating the use of a STEM educational kit and visual programming tools. The results showed descriptive increases across all evaluated dimensions. The overall mean score increased between the pretest and posttest, revealing statistically significant differences in research competencies (p < 0.001) and a large effect size (r = 0.896). Likewise, significant differences were identified in the dimensions related to research background and objectives, development of research activities, and evaluation of results. In contrast, the dimension concerning problem identification and formulation did not show statistically significant differences, suggesting that this competency may require longer formative processes and greater academic support. Although the results suggest favorable associations between the implemented strategy and the observed variations in research competencies, these findings should be interpreted with caution due to the limitations inherent to the pre-experimental design employed. In this sense, the study provides preliminary evidence regarding the pedagogical potential of integrating problem-solving and STEM technological resources to promote the early development of research competencies in university students in the health sciences. Full article

Reliable cadastral modernization requires distinguishing legally authoritative boundaries, human-interpreted parcel geometry, and image-visible evidence. This study examines the spatial proximity between a human-interpreted parcel boundary layer and unfiltered radiometric edge evidence derived from the same high-resolution orthophoto in Vientiane, Lao PDR. The analysis is not a cadastral accuracy validation and does not treat Canny-derived edges as an independent or higher-accuracy reference. Instead, it quantifies parcel-level boundary-to-radiometric-edge offset as a preliminary image-observability screening layer. For 89,763 parcels, nearest-edge offsets were summarized using mean, median, and upper-tail metrics and examined through spatial clustering, Canny threshold sensitivity testing, and a sample-based visual audit. Across parcels, mean offset values averaged 0.72 m, while median-offset values had a median of 0.21 m. Sensitivity testing showed that absolute offset magnitudes vary with edge-detection thresholds, indicating that the metric should not be interpreted as ISO-style positional accuracy. The mapped clusters, therefore, indicate an elevated boundary-to-radiometric-edge offset, as opposed to a confirmed cadastral error. The workflow is intended to support preliminary prioritization for expert visual review, semantic filtering, cadastral record checking, or field verification. Full article

Background: Long-duration spaceflight (LDSF) poses unique challenges to ocular health as microgravity, radiation, and environmental changes can cause lasting visual and structural impairments that affect astronaut performance. Objective: This review synthesises current evidence on in- and post-flight ocular complications. It integrates clinical findings, terrestrial analogues, animal studies, and theoretical models to characterise the pathophysiology, risk factors, and countermeasures associated with spaceflight-induced ocular changes. Methods: A review of peer-reviewed literature was conducted, focusing on dry eye disease, corneal edema, ocular biometric shifts, spaceflight associated neuro-ocular syndrome (SANS), and radiation-induced cataractogenesis. Data from in-flight imaging, post-flight assessments, and ground-based analogues were analysed. Results: Spaceflight induces multifactorial ocular changes, including tear film instability, optic disc edema, posterior globe flattening, and hyperopic refractive shifts. These effects are thought to result from cephalad fluid shifts compartmentalised cerebrospinal fluid pressure, venous congestion, and impaired glymphatic system. Long-term risks, such as cataractogenesis, are linked to radiation exposure and genetic susceptibility. Although several countermeasures are being explored, no single approach fully prevents these complications. Conclusions: Ocular complications during LDSF remain a significant challenge for astronaut health and mission performance. A multimodal approach combining mechanical, nutritional, and diagnostic strategies will be essential for future exploration-class missions. Further research is needed to refine countermeasures and preserve astronauts’ visual function. Full article

Corneal blindness remains a major cause of visual impairment worldwide and may result from trauma, infectious keratitis, degenerative disorders, endothelial dysfunction, and limbal stem cell deficiency (LSCD). Although corneal transplantation remains the standard treatment for advanced disease, its effectiveness is limited by donor tissue shortage, immune-mediated rejection, postoperative complications, and progressive graft failure. These limitations have accelerated interest in regenerative approaches aimed at restoring native corneal structure and function. Induced pluripotent stem cells (iPSCs) have emerged as a promising platform for corneal regeneration because of their pluripotency, self-renewal capacity, and potential for autologous or immune-compatible therapy. Recent advances in differentiation protocols have enabled the generation of corneal epithelial-like cells, stromal keratocyte-like cells, and corneal endothelial-like cells from iPSCs. Preclinical studies have demonstrated encouraging improvements in corneal transparency, epithelial restoration, fibrosis reduction, and endothelial function, while early clinical investigations, particularly in LSCD, have reported favorable short-term safety and functional outcomes. However, major translational barriers remain, including tumorigenicity, immunogenicity, genomic instability, manufacturing complexity, scalability, and long-term safety concerns. Stromal regeneration also remains comparatively underdeveloped relative to epithelial and endothelial applications. This review summarizes current differentiation strategies, biological mechanisms, preclinical and early clinical evidence, and the principal translational challenges associated with iPSC-based corneal regeneration. Overall, iPSC-derived corneal therapies demonstrate considerable regenerative potential, although further standardization, long-term safety evaluation, and multicenter clinical validation remain necessary before widespread clinical adoption. Full article

Informed consent is a core ethical and legal requirement in clinical practice. For individuals with aphasia, language impairments can hinder communication during consent processes. However, aphasia is primarily a language disorder and does not inherently imply cognitive impairment, a distinction frequently overlooked in clinical and legal settings. This scoping review examines how decision-making capacity (DMC) is assessed and supported in adults with aphasia, and outlines the clinical, ethical, and medico-legal implications for consent procedures. The review followed PRISMA-ScR guidelines. A systematic search of biomedical and legal databases was conducted without time restrictions. Studies addressing informed consent or DMC in adults with aphasia were included and analyzed using a qualitative thematic approach. Out of 519 records, 9 studies (2010–2024) from Australia, Canada, the United Kingdom, and Ireland met inclusion criteria. These studies often referenced national legislation and rights-based frameworks to define clinical responsibilities. Three main themes emerged: (1) DMC assessments rely heavily on language, with limited involvement of speech–language pathologists (SLPs), despite their role in reducing bias; (2) supported communication strategies—such as simplified language, visual aids, alternative response formats, and structured tools—can uncover “hidden competence”; and (3) structural barriers, including time constraints, insufficient training, and limited access to aphasia services, restrict implementation. Current evidence remains limited, largely qualitative, and insufficient to support definitive clinical recommendations. Incorporating supported communication, multidisciplinary assessment, and thorough documentation may enhance fairness and legal robustness. Future research should focus on validating aphasia-sensitive tools and evaluating their impact on outcomes and medico-legal risk. Full article

Background/Objectives: Choosing the most appropriate intraocular lens (IOL) for presbyopia management may be challenging given the expanding selection of available designs. This review provides an updated overview of current monofocal plus, extended depth of focus (EDoF), and trifocal IOLs, summarizing their optical properties and laboratory and clinical findings, including visual acuity outcomes and side effects. Methods: A literature search was conducted using PubMed to identify studies on monofocal plus, EDoF, and trifocal IOLs, with emphasis on optical characteristics, visual acuity outcomes, and reported photic phenomena. Results: Monofocal plus IOLs demonstrate an improvement in depth of field compared to monofocal lenses, as evidenced by significant broadening of the defocus curve. Both refractive and diffractive EDoF IOLs show improved intermediate visual acuity, with diffractive models offering greater depth of field but a higher risk of dysphotopsia. Trifocal IOLs offer the best visual acuity at all three foci: near, intermediate, and distance. Patients’ needs may be customized using sulcus- or capsulotomy-fixated IOLs, mix-and-match strategies, and binocular IOL systems. Conclusions: Based on this literature review, clinical and optical bench studies to date support optimized IOL selection based on individual patient needs for presbyopia management. However, consideration of understudied or newly released IOL models is limited as future research is needed. Additionally, further prospective, randomized, controlled, and masked studies with large sample sizes on all IOL models may further support patient decision-making by contributing to a more comprehensive literature. Full article