Search Results (2,086)

The rapid proliferation of social media and generative large language models has increased multimodal harmful content, making harmful meme detection and explanation generation crucial for content moderation. In Chinese social media, meme harmfulness relies on implicit visual–textual interactions in cultural contexts, but existing research lacks a comprehensive understanding of such cultural specificity. This neglect of the social background knowledge and metaphorical expressions inherent in memes results in limited detection performance. To address this challenge, we propose a novel fine-grained explanation-enhanced Chinese harmful meme detection framework (FG-E2HMD), a framework using Multimodal Large Language Models (MLLMs) with a culturally aware explanation generation module to produce structured explanations, which integrate with multimodal features for decision-making. Comprehensive quantitative experiments and qualitative analyses were conducted on ToxiCN MM, the first large-scale dataset dedicated to Chinese harmful meme detection. The experimental results reveal that existing methods still have significant limitations in detecting Chinese harmful memes. Concurrently, our framework improves detection accuracy and decision transparency by incorporating explicit Chinese cultural background knowledge, paving the way for more intelligent, culturally adaptive content moderation systems. Full article

Background: As means of addressing ongoing challenges in accessing publicly funded specialist care, new models of care have been trialled. One such approach is using physiotherapists in advance practice roles, who in collaboration with other health professionals, act as an initial orthopedic point of contact and coordinate care. This research investigated the impact of a model of care, the Spinal Virtual Clinic Model, implemented for the first time in South Australia, using advanced practice physiotherapists in a large metropolitan hospital in South Australia. Although formally named the “Spinal Virtual Clinic” by the health service, this model does not involve direct patient contact and differs from traditional virtual or telehealth clinics. Instead, it is best understood as a physiotherapy-led referral triage and management service. Methods: This research was conducted in two stages. Stage 1 was a retrospective clinical audit of sequential patients triaged to the Spinal Virtual Clinic, as well as a follow up audit to capture any subsequent engagement with the Orthopaedic Spinal Service following the initial Spinal Virtual Clinic correspondence. Data were descriptively analysed. In Stage 2, semi-structured interviews were conducted with patients from the Spinal Virtual Clinic to explore their perspectives on this model of care. The interviews were transcribed verbatim and independently analysed using thematic analysis. The sequential use of quantitative and qualitative approaches enabled us to both describe engagement with this model of care and better understand the underlying perspectives. Results: Three hundred and nine referrals were triaged to the physiotherapy-led spinal virtual clinic over a six-month period from 1 January 2021 to 30 June 2021. Majority of referrals were triaged as low acuity did not need formal spinal specialist review and could be managed safely in primary care. Therapist-led active management strategies (80.8%), trial of neuropathic medication (35.6%) closely followed by advice regarding targeted spinal injections (foraminal and epidural), were the most common conservative management strategies recommended. Only a small proportion needed surgical review. Interviews with eleven patients revealed that while many valued the convenience, timely advice, and reassurance offered by the service, others expressed confusion about the referral process and disappointment at not seeing a specialist. A key recommendation identified was improved communication, including providing patients with direct feedback alongside general practitioner correspondence. Conclusions: This research, underpinned by quantitative and qualitative research, has showcased the potential of this model of care, the spinal virtual clinic, to have a positive impact on improving access and reducing the burden on the health system for low acuity patients. As historical models of care become unsustainable and obsolete, alternative models of care can be implemented in health care settings where outpatient demand significantly exceeds capacity. Full article

This article analyses the role of the Spanish university system in promoting fair Trade (FT) and the sustainable development goals (SDGs), with a particular focus on the Universities for Fair Trade (UxFT) programme. A mixed methodology combining qualitative and quantitative approaches was used to review and analyse the websites of 90 Spanish universities (both public and private) to assess their commitment to FT and the SDGs. This was based on four variables: (1) reference to the SDGs; (2) a structured programme to promote the SDGs; (3) specific actions to promote or raise awareness of the SDGs; and (4) working on FT. The results show that, while most universities include the SDGs in their institutional strategies, only some have structured programmes. Regarding FT, several universities carry out activities linked to this movement, with some actively participating in the UxFT. Public universities demonstrate greater commitment. The SDGs that are most frequently addressed are 12 (Responsible consumption and production), 4 (Quality education) and 13 (Climate action), highlighting the close relationship between FT and sustainability. The study reveals a gap between discursive commitments to sustainability and the actual implementation of FT practices, suggesting that the integration of FT is not automatic even when SDG strategies are present. This has important implications: promoting FT within universities requires not only structured SDG strategies, but also explicit institutional policies, dedicated resources, and greater awareness of FT transformative potential. The findings underscore the need for stronger institutional commitment to move beyond isolated actions and toward a university model grounded in social justice and sustainability. Integrating the UxFT programme more broadly could help foster critical thinking, participatory governance, and more coherent practices aligned with the 2030 Agenda. Full article

Background: Obesity affects over one billion people globally. Bariatric surgery is the most effective long-term intervention for severe obesity. However, postoperative outcomes can vary considerably, with such factors as baseline fitness and cardiorespiratory reserve influencing surgical outcomes. This systematic review aimed to evaluate the effects of preoperative exercise or physical activity, compared to standard care or no intervention, on preoperative fitness parameters and perioperative surgical outcomes in adults with obesity undergoing metabolic and bariatric surgery. Methods: A systematic review was conducted in accordance with the recommendations of the Cochrane Handbook and the PRISMA guidelines. Randomized controlled trials, non-randomized controlled trials, and cohort studies with control groups evaluating preoperative exercise interventions were included. Two independent reviewers conducted study selection, data extraction, and risk of bias assessment using Cochrane tools. Meta-analyses were performed using random effects models, with standardized mean differences calculated for continuous outcomes. Evidence certainty was assessed using the GRADE approach. Results: A total of 15 studies, including 1378 participants, were identified for qualitative synthesis, with 12 contributing data for quantitative meta-analysis. Preoperative exercise interventions significantly improved six-minute walk test distance (SMD 2.01; 95% CI: 0.51 to 3.50; p = 0.009) and VO₂ peak (SMD 1.02; 95% CI: 0.52 to 1.51; p < 0.0001). BMI reduction was significant (SMD −0.96; 95% CI: −1.75 to −0.16; p = 0.02), while weight change was not statistically significant (SMD −0.81; 95% CI: −1.72 to 0.09; p = 0.08). One study reported a reduction in hospital length of stay of 0.64 days (95% CI: −0.86 to −0.42; p < 0.00001). Evidence certainty was rated as very low to low across all outcomes. Conclusions: Preoperative exercise interventions have been shown to significantly improve cardiorespiratory fitness in bariatric surgery candidates, with large effect sizes for functional capacity measures. Despite the low certainty of the evidence, these findings suggest that supervised exercise programs should be incorporated into the preoperative care of bariatric surgery patients. Full article

Background/Objectives: Diabetes mellitus (DM) is one of the most common metabolic disorders, with a continually increasing population incidence. One of the main therapeutic approaches for this condition involves the inhibition of alpha-amylase and alpha-glucosidase—key enzymes involved in carbohydrate breakdown. Silver nanoparticles have exhibited inhibitory activity against both enzymes, suggesting their potential in regulating postprandial blood glucose levels. This study aimed to evaluate the antidiabetic potential of silver nanoparticles biosynthesized with Stenocereus queretaroensis flower extract. Methods: The flower extract was prepared and, following a qualitative and quantitative phytochemical analysis, was utilized in the reaction to biosynthesize S. queretaroensis flower extract nanoparticles (SAgNPs). The SAgNPs were characterized using UV–visible spectroscopy, dynamic light scattering (DLS), scanning electron microscopy (SEM), energy dispersive X-ray (EDX), X-ray diffraction (XRD), and Fourier transform infrared spectrophotometry (FTIR). The antidiabetic potential of the biosynthesized SAgNPs was evaluated in vitro using alpha-amylase and alpha-glucosidase inhibitory assays, while an animal model was used for postprandial hypoglycemic activity in healthy mice. Results: The phytochemical analyses showed the presence of phenolic compounds and flavonoids like sinapic acid, p-coumaroyl tyrosine, procyanidin dimer β1, and dihydroquercetin in the flower extract. The SAgNPs were found to be rough and spherical in shape, with an average size of 99.5 nm. The inhibition of alpha-amylase and alpha-glucosidase by SAgNPs exhibited an IC₅₀ of 4.92 µg/mL and 0.68 µg/mL, respectively. The animal model results suggested that SAgNPs at 100 mg/kg caused a significant decrease in the postprandial glucose level; this effect is likely attributable to delayed carbohydrate digestion, as supported by the in vitro findings. Conclusions: S. queretaroensis-synthesized silver nanoparticles may constitute a promising option for antidiabetic therapy. Full article

Geodiversity mapping is a key topic in the field of geoconservation. Although most methodological proposals are based on quantitative assessments, recent studies on qualitative mapping have shown strong potential for various applications, including relationships with biodiversity, territorial management, and nature conservation. This article presents a qualitative geodiversity map of the Costões e Lagunas Aspiring Geopark, located in the state of Rio de Janeiro, Brazil. The map was also used to identify geodiversity-related ecosystem services in the territory. The method for generating the map was divided into two steps: first, thematic maps representing geodiversity components were integrated to identify areas where components interact to form specific environments; second, based on these interactions, geodiversity units were defined. Ecosystem services provided by each unit were identified through the analysis of human activities occurring within them. The results show that the geodiversity units provide multiple ecosystem services across different categories and are essential to the well-being of local inhabitants. These findings reinforce the relevance of the qualitative approach and demonstrate that geodiversity mapping can support broader landscape analyses. Thus, qualitative geodiversity maps are effective tools for identifying ecosystem services across extensive areas. Full article

Understanding the spatiotemporal variations and driving mechanisms of coastlines is crucial for their adequate protection, utilization, and sustainable development. In this study, the changes in various coastline types in Zhuhai from 1987 to 2022 were analyzed by using long-term Landsat and GaoFen satellite imagery. The Index of Coastline Type Diversity (ICTD), Index of Coastline Utilization Degree (ICUD) and the Digital Shoreline Analysis System (DSAS) analysis indicators were employed to investigate coastline change. Both quantitative and qualitative analyses were integrated to comprehensively elucidate the impacts of various driving factors. The results indicate that the total length of Zhuhai coastline increased from 761.50 km in 1987 to 798.91 km in 2022, with natural coastlines decreasing by 89.82 km and artificial coastlines increasing by 153.40 km. The rapid expansion of artificial coastlines since 2007 led to a marked decline in the ICTD indicator, while the ICUD indicator increased from 146.42 in 1987 to 216.37 in 2022, reflecting the intensified and continuous influence of anthropogenic activities. Additionally, the end point rate (EPR) and Weighted Linear Regression Rate (WLR) changed by 8.09 m/yr and 6.62 m/yr, respectively. The Shoreline Change Envelope (SCE) and Net Shoreline Movement (NSM) exhibited average changes of 331.42 m and 224.32 m, respectively. Gray correlation and regression analyses further revealed that climate factors exhibited the strongest association with natural coastline changes, while economic development indicators showed the strongest correlation with artificial coastline dynamics. The relationship of Number of Berths in Main Ports (Nb) with coastline changes strongly suggests that human activities are the primary driver of these changes. These findings provide a robust scientific basis for coastal zone management in Zhuhai. Full article

This paper proposes a novel Denoiser and Low-Frequency Enhancer Network (DLFE-Net) for Low-Light Image Enhancement (LLIE). The DLFE-Net addresses two key challenges: (1) overexposure and detail loss in local areas during enhancement, and (2) the effective removal of inherent noise in low-light images. Specifically, the input RGB image is first converted to the HVI color space. The intensity (I) and color (H, V) maps are then enhanced and denoised separately, i.e., preserving details and removing noise. For preserving details, the Low-Frequency Illumination Enhancer (LFIE) module isolates and processes the image’s low-frequency information. This targeted approach effectively mitigates local overexposure and preserves fine details during enhancement. For removing noise, the Multi-Scale Gated Denoiser (MSGD) module performs denoising through strong preservation after predicting image noise. Comprehensive experiments were conducted on three benchmark datasets (LOL, SICE, Sony-Total-Dark) and five unpaired datasets. Both qualitative and quantitative analyses demonstrated the superiority of DLFE-Net over state-of-the-art methods. Moreover, ablation studies demonstrated the effectiveness of each module in DLFE-Net. Full article

Cotinus coggygria is a widespread medicinal and aromatic species known for its ecological plasticity, pharmacological potential, and cultivation prospects. Despite its broad distribution across heterogeneous habitats, little is known about how local ecological and pedochemical factors influence its physiological traits and secondary metabolite production. This study addresses this knowledge gap by analyzing the eco-physiological and phytochemical variability of C. coggygria across six natural populations differing in substrate type and geochemical conditions. The research reveals significant inter-population variability in element accumulation, oxidative stress markers, morphometric traits, and the qualitative and quantitative composition of essential oils and phenolic compounds. Soil analyses demonstrated notable differences in element concentrations (e.g., Ca, Fe, Co, Zn) across localities, correlating with geochemical conditions. Morphological traits, such as leaf size and petiole length, varied significantly, with pronounced differences observed in plants from thermophilous and metalliferous habitats. Oxidative stress, indicated by malondialdehyde (MDA) levels, was highest in populations from thermophilous habitats. Phenolic compound analysis revealed locality-specific differences, with plants from thermophilous habitats exhibiting the highest concentrations of gallic acid, catechin, and rutin. Essential oil yield and composition also varied: leaves from metalliferous habitats had the highest monoterpene hydrocarbon content, while bark samples from thermophilous habitats showed elevated sesquiterpene levels. This comprehensive analysis underscores the interplay between habitat-specific conditions and the physiological and biochemical processes of C. coggygria. The findings provide valuable insights for optimizing substrate conditions and ecological management, with implications for the cultivation of the species to enhance the synthesis of bioactive compounds. These results support sustainable land use practices and the development of high-value plant-based products, offering significant implications for agriculture, pharmacology, and ecosystem restoration. Future studies should further explore the genetic and biochemical mechanisms underlying this species’ adaptability and resource optimization in heterogeneous environments. Full article

Objective: To identify emotional, cognitive, and social factors associated with Romanian women’s intention to undergo cervical cancer screening (CCS). Methods: An online, cross-sectional, mixed-method survey was conducted among Romanian women. Quantitative statistics were performed to uncover associations, while inductive content thematic analysis was used to refine results. Results: 317 women responded. Previous history of CCS (OR = 7.564, CI = 3.523–16.241, p < 0.001), testing positive for HPV strains (OR = 30.176, CI = 1.828–498.049, p < 0.001), knowing that the infection can cause CC (OR = 4.398, CI = 1.117–14.994, p < 0.017), believing the infection is asymptomatic (OR = 2.919, CI = 0.883–8.411, p = 0.04 and being aware of the HPV vaccine (OR = 5.56, CI = 1.722–16.649, p = 0.002 were associated with the intention to undergo screening. Fear of receiving a cancer diagnosis (OR = 2.727, CI = 1.291–5.764, p = 0.009) was associated with higher intention to undergo screening, while shame and feelings of violated privacy negatively impacted the intention. High perceived chances of being infected (OR = 3.38, p = 0.002) and perceiving CCC as beneficial (OR = 7.634, p < 0.001) drove respondents to pursue CCS. Doctor’s recommendation (OR = 15.357) and partner’s support were associated with the intention to pursue CCS when anticipating an HPV infection (OR = 6.016, CI = 2.808–12.888, p < 0.001) or a diagnosis of CC (OR = 4.794, CI = 2.267–10.139, p < 0.001). When anticipating a diagnosis of CC, guilt (OR = 2.557) and fear of dying (OR = 2.253) were significant factors impacting women’s intention to screen. Qualitative analyses uncovered limited knowledge regarding HPV, a lack of awareness about the CCS’s advantages, low perceived susceptibility, and financial burden as factors deterring women from screening. Fear, responsibility, and previous personal or family history of cancer or symptoms were the main drivers motivating participants to engage in CCS. Conclusions: Findings highlighted key emotional, cognitive, and social factors that influence Romanian women’s intention to undergo CCS. This analysis can serve as a foundational support for developing future tailored interventions designed to address low addressability within the targeted population, especially as Romania is in a nascent state of creating population-based screening programs. Full article

Background/Objectives: Biliary tract cancers (BTCs), encompassing tumors of the bile ducts, gallbladder, or ampulla of Vater, are notoriously hard to manage, especially when surgery is off the table and standard chemotherapy provides only modest benefits. While emerging treatments such as immune checkpoint inhibitors have shown promise, mixed clinical trial results and varied study endpoints have left their true impact unclear. This concise review consolidates current evidence on combining chemotherapy with immunotherapy to clarify whether these regimens can significantly improve outcomes and steer more effective treatment strategies for BTCs. Methods: A comprehensive literature search was conducted across PubMed, Embase, Web of Science, and ClinicalTrials.gov for randomized controlled trials (RCTs) and prospective comparative studies published from January 2010 to December 2024. Fixed-effect meta-analyses (inverse-variance method) were used as the primary approach, with random-effects models (REML) performed as sensitivity analyses to confirm robustness were performed to calculate pooled hazard ratios (HRs) for overall survival (OS) and progression-free survival (PFS). Leave-one-out sensitivity analyses and Egger’s tests assessed result stability and publication bias. The review was conducted in accordance with PRISMA 2020 guidelines and registered in OSF. Results: Two RCTs (n = 1754; chemoimmunotherapy n = 874, chemotherapy n = 880) were included in the quantitative meta-analysis. Compared to chemotherapy alone, chemoimmunotherapy significantly reduced the risk of death by 20% (OS, HR = 0.80; 95% CI 0.72–0.89; I² = 0%) and the risk of disease progression or death by 19% (PFS, HR = 0.81; 95% CI 0.73–0.90; I² = 33.5%). Leave-one-out sensitivity analyses confirmed result stability. Egger’s tests showed no significant publication bias (OS p = 0.30; PFS p = 0.40). Two additional studies (IMbrave 151 and Monge 2022) lacking comparative survival data were qualitatively assessed. Conclusions: Chemoimmunotherapy significantly improves OS and PFS compared with chemotherapy alone in advanced BTC, with consistent findings across included trials. These results support the incorporation of chemoimmunotherapy as a first-line therapeutic strategy. Future research should prioritize biomarker-driven patient selection, evaluation of long-term clinical outcomes, and integration of targeted therapies with chemoimmunotherapy. Full article

Understanding rock behavior under cutting tools is critical for enhancing cutting processes and forecasting rock behavior in engineering contexts. This study examines the link between mechanical properties and indentation crater morphology of six rocks using a conical indenter until initial fracture. Through indentation testing, mechanical properties (indentation stiffness index k and hardness index HI) were assessed, and crater morphology was analyzed using a 3D laser profilometer. The rocks were categorized into three groups based on specific energy: Class I (slate, shale), Class II (sandstone, marble), and Class III (granite, gneiss). The morphological features of their indentation craters were analyzed both quantitatively and qualitatively. The linear model was used to establish the relationship between crater morphology indices and mechanical properties, with model parameters determined by linear regression. Key findings include: (1) Fracture depth, cross-sectional area, and contour roundness are independent morphological indicators, serving as characteristic parameters for crater morphology, with qualitative and quantitative analyses showing consistency; (2) Post-classification linear fitting revealed statistically significant morphological prediction models, though patterns varied across rock categories due to inherent properties like structure and grain homogeneity; (3) Classification by specific energy revealed distinct mechanical and morphological differences, with significant linear relationships established for all three indicators in Classes II and III, but only roundness showing significance in Class I (non-significant for cross-sectional area and depth). However, all significant models exhibited limited explanatory power (R² = 0.220–0.635), likely due to constrained sample sizes. Future studies should expand sample sizes to refine these findings. Full article

Shubat, a traditional fermented camel milk from Kazakhstan, is renowned for its unique flavor and nutritional properties, though its volatile compound profile remains poorly characterized. In this study, headspace solid-phase microextraction coupled with comprehensive two-dimensional gas chromatography–time-of-flight mass spectrometry (HS-SPME-GC×GC–ToFMS) was employed to qualitatively identify and semi-quantitatively analyze volatile metabolites in seven Shubat samples collected from four regions of Kazakhstan. Of the 372 volatile organic compounds initially detected, 202 were retained after screening, predominantly comprising esters, acids, alcohols, ketones, and aldehydes. Esters, acids, and alcohol were found to be the most abundant categories. Diversity analyses (α and β) revealed substantial variation across regions, likely influenced by Shubat’s rich and region-specific microbiome. An UpSet analysis demonstrated that 75 volatile compounds were shared among all samples, accounting for over 87% of the total volatile content, indicating a chemically stable core. These findings underscore the chemical complexity of Shubat and provide novel insights into its metabolite composition, thereby establishing a foundation for future sensory, microbial, and quality-related research. Full article

This study focuses on the utilization of ash and slag waste from coal combustion for the production of ceramic construction materials. Detailed chemical and granulometric analyses were performed to determine the multicomponent composition of ash and slag, highlighting its dependence on particle size fractions. The macro- and microelement contents of fresh and aged ash and slag, as well as the coal fuel, were assessed. Significant amounts of SiO₂ (up to 54%), Al₂O₃ (27.5%), Fe₂O₃ (7%), and CaO (6.5%) were found, along with trace elements potentially hazardous to the environment, including Pb, Cu, Mo, and Y. Storage was shown to increase the concentrations of several elements (Pb, Cu, Ga, and Y) due to physicochemical weathering and pollutant migration. Based on comprehensive experimental data, criteria for evaluating ash and slag as raw materials were developed, and new qualitative and quantitative characteristics were identified, demonstrating their feasibility for use in construction material production. These results provide a foundation for systematic monitoring and environmentally responsible utilization of ash and slag waste. Full article

Lifelong learning has become a central axis in the debate on education and innovation, especially in contexts where technological transformations and the integration of artificial intelligence are reshaping the ways individuals acquire, update, and apply knowledge. Despite the growing relevance of this field, research on lifelong learning remains dispersed across different perspectives, highlighting conceptual diversity and methodological fragmentation. This article presents a systematic review aimed at identifying how lifelong learning has been studied in relation to artificial intelligence, focusing on definitions, benefits, and limitations discussed in the literature. The review followed a rigorous methodological process, including a probabilistic sampling strategy, systematic screening and eligibility assessment, and the application of both qualitative and quantitative analyses supported by triangulation to ensure reliability. The findings indicate that research on lifelong learning in relation to artificial intelligence remains fragmented. While many studies emphasize conceptual definitions and highlight potential benefits, relatively few examine limitations, challenges, or empirical evidence of impact. By systematically synthesizing and analyzing the available literature, this review contributes to a more integrated understanding of how AI is shaping lifelong learning, offering both theoretical insights and practical implications for educational practice and policy. Full article