Search Results (6,111)

Background: Sustaining measles elimination in the post-elimination era presents increasing challenges due to global resurgence and waning vaccine-induced immunity. We aimed to evaluate epidemiological trends, vaccination strategies, and population immunity associated with achieving and maintaining measles elimination in Taiwan. Methods: We conducted a comprehensive analysis of national surveillance data from 1991 to 2024, including case notifications, viral genotypes, vaccination coverage rates, and surveillance performance indicators. Three population-based seroprevalence surveys conducted between 2002 and 2020 were reviewed to assess age-specific immunity. Descriptive analyses were performed to characterize long-term epidemiological and immunological trends. Results: From 1993 to 2024, the annual number of measles cases remained consistently below 50, except in 2019. Vaccination coverage for both MMR1 and MMR2 has exceeded 95% since 1998, with MMR1 coverage remaining above 97% between 2009 and 2024. Genotyping evidence confirms the interruption of endemic transmission since 2006; furthermore, as of 2024, no continuous chains of transmission lasting longer than 12 months have been recorded. National seroprevalence surveys monitoring measles-specific IgG antibodies revealed declining antibody levels among adolescents and young adults, with seropositivity as low as 36.7% in specific cohorts. Despite this, transmission following importations has remained limited, with minimal secondary spread. Conclusions: Taiwan has successfully sustained measles elimination through high vaccination coverage, robust surveillance, and targeted interventions. Although serological evidence indicates waning immunity, epidemiological data suggest preserved population-level protection, likely mediated by immunological memory. Targeted booster strategies for high-risk groups may be more appropriate than universal additional dosing in post-elimination settings. Full article

Sucralose is one of the most widely used non-nutritive sweeteners and has long been considered metabolically inert and safe within established acceptable daily intake levels. However, emerging evidence suggests that chronic exposure to sucralose may alter gut microbial composition, epithelial barrier function, mucosal inflammation, and immune responses. This review examines current experimental and clinical evidence on the effects of sucralose on the gut–immune axis, with particular attention to its potential implications for colitis and colorectal cancer (CRC). Preclinical studies indicate that sucralose may reduce beneficial short-chain fatty acid-producing taxa, alter microbial metabolic pathways, disrupt epithelial barrier-related molecules, and promote inflammatory and immune changes associated with colitis severity and inflammation-driven tumorigenesis. Experimental evidence also suggests that sucralose may impair CD8⁺ T-cell fitness and reduce responsiveness to immune checkpoint inhibitors through microbiome-dependent mechanisms involving altered arginine and citrulline metabolism. Human studies further indicate that sucralose can modify gut and oral microbiome composition and influence metabolic responses, although these effects appear heterogeneous and context-dependent. Overall, the current literature suggests that sucralose may act as a modifier of microbiome–immune interactions in susceptible settings, but most mechanistic evidence remains preclinical, and human data are still insufficient to establish causality. These findings highlight the need for prospective studies to determine whether sucralose-associated microbial and immune alterations translate into clinically meaningful effects in colitis, CRC, and immunotherapy response. Full article

Pesticide residues in food and agricultural products continue to constitute a significant concern for food safety, particularly when rapid decision-making is required across production and supply chains. Although chromatographic methods such as GC-MS and LC-MS/MS remain essential for confirmatory analysis, their dependence on central laboratories limits their applicability for field screening. Consequently, portable biosensor-based detection platforms have attracted increasing attention as rapid screening tools. This review synthesizes 26 peer-reviewed studies published between 2010 and 2025 on portable biosensor-based screening tools for pesticide detection in food and agricultural matrices, including electrochemical sensors, immunoassays, aptamer-based systems, paper-based lateral flow devices, and smartphone-assisted platforms. Given the heterogeneity of analytes, sensing mechanisms, and study designs, a narrative synthesis approach was applied. Overall, the evidence suggests a shift from laboratory-centered detection toward field-deployable technologies that may support preliminary screening within food safety monitoring frameworks. Paper-based lateral flow assays are widely reported as deployable formats, while electrochemical and affinity-based platforms are often positioned as intermediate solutions for mobile or semi-controlled testing environments. However, most platforms remain at the proof-of-concept or early validation stage, and challenges related to matrix interference, long-term stability, reproducibility, standardization, and large-scale implementation persist. This review highlights the potential role of portable biosensor technologies as complementary tools within tiered food safety monitoring systems and outlines key priorities for further development before wider regulatory integration can be considered. Full article

Fish oil (FO) has been shown to confer beneficial effects on hepatic diseases in both humans and animals. This study aimed to investigate whether dietary fish oil (FO) supplementation alleviates deoxynivalenol (DON)-induced liver injury by modulating the ferroptosis signaling pathway in weaned piglets. Twenty-four weaned piglets were allocated to a 2 × 2 factorial design, with the main factors consisting of dietary treatment (5% corn oil or 5% FO supplementation) and DON exposure (basal diet or diet contaminated with 4 mg/kg DON). After 21 days of dietary treatment, piglets were euthanized for collection of blood and liver samples. Dietary FO significantly attenuated DON-induced hepatic structural damage and inflammatory infiltration. Specifically, FO supplementation reduced the activities of aspartate transaminase (AST) and alkaline phosphatase (ALP), as well as the AST/alanine aminotransferase (ALT) ratio following DON exposure. Dietary FO also decreased malondialdehyde (MDA) concentrations in both the liver and serum, lowered hepatic 4-hydroxynonenal (4-HNE) level and Fe²⁺ content, and increased hepatic glutathione (GSH) content. Moreover, dietary FO ameliorated ultrastructural liver damage induced by DON. Furthermore, DON significantly downregulated the mRNA levels of multiple genes associated with iron metabolism and ferroptosis, including heat shock protein beta-1 (HSPB1), acyl-CoA synthetase long chain family member 4 (ACSL4), and arachidonate 15-lipoxygenase (ALOX15), and upregulated the mRNA levels of transferrin (TF), ferritin heavy chain (FTH), solute carrier family 7 member 11 (SLC7A11), and transferrin receptor 1 (TFR1). Dietary FO counteracted these alterations by decreasing the mRNA of SLC7A11, TFR1, FTH, and TF after DON exposure. Finally, FO significantly decreased the protein expression of SLC7A11, iron-responsive element-binding protein 2 (IREB2), and FHT1 and increased the GPX4 protein expression following DON exposure. These findings suggest that FO may ameliorate DON-induced liver injury in weaned piglets, possibly through suppressing the ferroptosis signaling pathway. Full article

This review addresses the nutritional composition, health benefits, and claim conditions of aquaculture fish, focusing on gilthead sea bream (Sparus aurata) and European sea bass (Dicentrarchus labrax). Both species provide high-quality proteins, essential amino acids, and favorable lipid profiles, particularly long-chain omega-3 fatty acids, alongside minerals such as phosphorus and selenium, which meet EU criteria for several authorized nutrition and health claims. Evidence demonstrates that regular consumption supports cardiovascular, cognitive, and visual health, reduces inflammation, and contributes to better pregnancy and early childhood outcomes. Consumer skepticism toward aquaculture persists, often driven by perceptions of reduced nutritional quality, despite evidence that farmed fish provide nutritionally valuable proteins and beneficial lipids. Nevertheless, both species consistently meet the requirements for multiple nutrition and health claims, particularly those related to protein, omega-3 fatty acids, and selected minerals, allowing their effective use in labeling and consumer communication. Clear, evidence-based labeling of such claims is crucial to enhance acceptance and promote farmed fish as safe, sustainable, and health-promoting dietary choices. Full article

The microbiota–gut–brain axis (MGBA) is a complex bidirectional communication network integrating neural, endocrine, immune, and metabolic pathways linking intestinal microbiota to central nervous system function. Increasing evidence indicates that microbiota-derived signals are critical regulators of neurodevelopment and may contribute to vulnerability to neurodegenerative disorders across the lifespan. In this narrative review, we synthesize experimental and clinical evidence to define the key biological mechanisms underlying microbiota–brain interactions. Converging data indicate that immune activation, barrier dysfunction, and microbial metabolites, particularly short-chain fatty acids and tryptophan-derived compounds, represent central mediators linking gut dysbiosis to neuroinflammatory and neurodegenerative processes. Early-life microbial perturbations, driven by factors such as antibiotic exposure, diet, and psychosocial stress, appear to induce long-term immunometabolic programming that may increase susceptibility to neurological disorders later in life. Clinical studies consistently associate dysbiosis with neurodevelopmental conditions and major neurodegenerative diseases, including Alzheimer’s disease and Parkinson’s disease; however, causal relationships remain incompletely defined due to heterogeneity and the predominance of observational data. Overall, the available evidence supports a lifespan model in which microbiota-driven immune and metabolic dysregulation contributes to both early neurodevelopmental trajectories and late-life neurodegeneration. While microbiome-based biomarkers and therapeutic strategies show promise, their clinical translation requires validation in longitudinal and interventional studies. Full article

COASY-related disorders (CRDs) are a spectrum of autosomal recessive conditions caused by the dysfunction of CoA synthase, an enzyme responsible for the final steps of CoA synthesis. Clinical manifestations of CRDs are highly variable, ranging from perinatal lethal pontocerebellar hypoplasia to childhood-onset neurodegenerative brain iron accumulation, which is often recognized after clinical regression. Recent reports have described a few individuals with CRD who screened positive for carnitine palmitoyltransferase-I deficiency by newborn screening (NBS). However, heterogeneous clinical presentations, conflicting biochemical/molecular sequencing of CPT1A, and a lack of metabolic characterization have led to lengthy, costly diagnostic journeys. To address some of these aspects, this investigation retrospectively evaluated NBS acylcarnitine patterns in five CRD cases using Collaborative Laboratory Integrated Reports (CLIR). A total of 25 metabolites/ratios were identified to deviate significantly from reference ranges and were primarily composed of elevated free carnitine and reduced long-chain acylcarnitine levels. While low acylcarnitine concentrations are often not reported due to a lack of lower reference cutoffs, ratios involving these metabolites relative to short-chain acylcarnitines could aid in identifying CRD cases via NBS. When comparing this pattern to CPT-Ia cases, we confirmed a nearly identical acylcarnitine pattern between these, and thus support the need to consider CRD in cases with NBS results suggestive of CPT-Ia. This study is the first case series to characterize NBS patterns in patients with CRD and highlights the unique opportunity for early detection, particularly in cases that are neonatally asymptomatic and have unremarkable confirmatory biochemical results. Full article

Conventional spatial frequency domain imaging (SFDI) based optical property inversion is inefficient, while deep learning methods suffer from heavy reliance on large-scale real datasets. To address this contradiction, a simulation-driven approach for subsurface fruit bruise discrimination was proposed. An SFDI simulation environment was built with Blender to generate 800 paired datasets of diffuse reflectance images and optical transport coefficients, overcoming the high cost and long cycle of real dataset acquisition. We designed the CBAM-GAN-U-Net model and adopted surface profile correction in the prediction method to eliminate curved surface-induced non-planar distortion, with the whole method validated on liquid phantoms, green apples and crown pears. This prediction method achieved high accuracy in predicting the reduced scattering coefficient μ_s′, with NMAE of 0.021 ± 0.007 (phantoms), 0.039 ± 0.012 (severely bruised green apples) and 0.044 ± 0.015 (severely bruised crown pears), outperforming U-Net and GANPOP. Based on the predicted μ_s′, a discrimination strategy combining coefficient of variation, mean ratio and receiver operating characteristic (ROC) curve analysis was adopted, attaining 100% accuracy for non-bruised/bruised fruit discrimination, with misclassification rates of 6% (green apples) and 8% (crown pears) for mild/severe bruise differentiation. This method enables accurate subsurface fruit bruise detection, providing a reliable technical solution for the fruit and vegetable industry and helping reduce postharvest supply chain losses. Full article

Background: n-3 Docosapentaenoic acid (DPA; 22:5 n-3) is increasingly viewed as a distinct long-chain omega-3 fatty acid with biological activities that are not fully captured by eicosapentaenoic acid (EPA) or docosahexaenoic acid (DHA). However, progress remains limited by restricted access to high-purity DPA: most commercial sources contain DPA as a minor component, and published isolation strategies often yield only enriched mixtures or require multi-step workflows that are difficult to scale in standard laboratories. Objectives: We aimed to establish a robust, laboratory-accessible purification workflow to obtain DPA ethyl ester at high purity while preserving oxidative quality. Methods: Candidate lipid sources were screened to select an optimal DPA-containing feedstock. Oils were stabilized with antioxidants and pre-fractionated by cold crystallization (−20 °C) to reduce saturated lipids and oxidation by-products. Preparative separation used a stacked C18 flash system (15 μm + 45 μm in series) operated isocratically (methanol/water 92:8, v/v) at 120 mL/min. Fractions were analyzed by GC and iteratively reinjected to progressively enrich the DPA window. Solvent was recovered by distillation and reused. Results: Omegavie^® 4020EE (5.4% n-3 DPA) was identified as the best starting material. Pretreatment eliminated detectable TBARS-derived malondialdehyde. The isocratic purification-loop strategy produced tens of grams of DPA ethyl ester at >98% purity (GC–FID) defined as n-3 DPA area% of total identified fatty acid methyl esters by GC–FID, with per-cycle DPA recovery of 91–95%, overall recovery of 76% from the starting DPA content, and >90% solvent recycling. The workflow is scalable at the gram-to-tens-of-grams level for research laboratories, although solvent burden and column maintenance remain practical constraints for larger-scale implementation. Identity and purity were confirmed by GC–MS and ^1H NMR, and oxidation indices remained low (peroxide value < 0.2 meq/kg; p-anisidine < 3). Conclusions: This scalable, solvent-conscious protocol enables reliable access to high-purity DPA and should be adaptable to other low-abundance polyunsaturated fatty acids. Full article

Per- and polyfluoroalkyl substances (PFAS) are highly stable and persistent environmental contaminants. Their exceptional chemical stability prevents natural breakdown, leading to global distribution and bioaccumulation in aquatic organisms. Long-chain PFAS, such as perfluorooctane sulfonic acid (PFOS), tend to accumulate in the liver, kidneys, and muscle tissues, whereas short-chain PFAS remain largely dissolved in water and show lower accumulation. Freshwater fish generally contain higher PFAS levels than marine fish, with concentrations varying according to species, habitat, trophic level, contamination site, and other factors. Human exposure primarily occurs through the consumption of contaminated fish and seafood, as well as through drinking water, inhalation, and skin contact. Such exposure is associated with immunosuppression, high cholesterol, hormonal disruption, cancer, and other health risks. Regulatory limits exist for four PFAS compounds, while many others, including emerging compounds, remain unregulated. This review synthesizes the current knowledge on the global distribution of PFAS across various fish species, analytical approaches including sample preparation (e.g., SPE, QuEChERS) and instrumental techniques (e.g., LC-MS/MS, HRMS), human dietary exposure, and the related health risks. By integrating environmental distribution, bioaccumulation, analytical challenges, and health issues, this review provides an up-to-date perspective on PFAS in fish and emphasizes the need for ongoing monitoring and stricter regulatory frameworks to ensure food safety and protect both human health and ecosystems. Full article

The electric vehicle (EV) battery industry has become a strategic pillar of the low-carbon transition, with far-reaching implications for industrial competitiveness and sustainability. This paper compares the policy mixes governing EV batteries in the EU and China and examines how different approaches shape technological innovation, industrial development, and export performance. A qualitative comparative case study is conducted, combining content analysis of core policy and regulatory documents with descriptive indicators on EV deployment, patenting activity, manufacturing capacity, and international trade. The analysis identifies two distinct but partly complementary policy models. The EU relies on innovation-driven and regulation-based instruments, coupling large research and development programs with stringent sustainability and circular-economy requirements; this model is associated with stronger performance in regulatory upgrading, collaborative innovation, and sustainability-oriented governance. China emphasizes demand expansion, large-scale fiscal support, and long-term industrial planning, which has accelerated capacity build-up, cost reductions, supply-chain integration, and manufacturing-based export competitiveness. The findings show that these contrasting policy mixes generate different technological trajectories and value-chain configurations, while both contribute to strengthening strategic competitiveness in the EV battery sector. More broadly, the study demonstrates that policy effectiveness depends less on any single instrument than on the coherence of the overall policy mix. It concludes that effective EV battery strategies should combine strong innovation incentives with mechanisms that support industrial scaling, supply-chain resilience, and high environmental standards. Full article

Time-series machine learning models represented by long short-term memory (LSTM) networks provide an effective way to obtain high-precision sound speed profiles (SSPs) quickly and at low cost, which can meet the practical application requirements of underwater sonar systems. However, in sea areas with frequent strong internal solitary waves, the large-amplitude sound speed anomalies caused by them will seriously interfere with model learning in the form of strong outlier features, resulting in a sharp drop in SSP prediction accuracy and significant degradation of the generalization stability and robustness of the model. To address this problem, this paper proposes a time-series SSP prediction method based on a bidirectional long short-term memory (Bi-LSTM) network. First, Empirical Orthogonal Function (EOF) decomposition is used to realize the low-dimensional feature representation of SSPs, and then the bidirectional time-series feature capture capability of Bi-LSTM is used to predict the SSP sequence with large disturbances caused by strong internal solitary waves. Multiple groups of comparative experiments based on the measured temperature chain data in the continental slope area of the South China Sea show that the Bi-LSTM model has a significant improvement in prediction accuracy and robustness compared with the classical LSTM model. Among them, the Bi-LSTM model with EOF decomposition achieves a correlation coefficient of 0.995 and an average Root Mean Square Error (RMSE) as low as 0.387 m/s. Under the condition of internal solitary wave disturbance, the classical LSTM is difficult to effectively capture the large abrupt change in sound speed, while the proposed Bi-LSTM model can still achieve accurate prediction of the SSP in the disturbance section, and has both the feature recognition and evolution prediction capabilities for the strongly nonlinear internal solitary wave process. This method provides effective technical support for the rapid and large-scale reconstruction of the sound speed field under the disturbance of strong internal solitary waves. Full article

Long-chain polyunsaturated fatty acids (LC-PUFAs) of omega-3 family, particularly docosahexaenoic acid and eicosapentaenoic acid, are essential nutrients that play a critical role in children’s growth and health. This review examines the evidence on the effects of omega-3 supplements and omega-3-enhanced foods on children’s development, as well as on neurological and metabolic disorders. Research consistently highlights the importance of DHA in brain and visual development, especially during early childhood, when rapid neural growth occurs. PubMed, Web of Science, Scopus and the Cochrane Library databases were searched for relevant articles published up to January 2026. Adequate omega-3 intake has been associated with improvements in cognitive performance, attention, and learning outcomes. In children with neurodevelopmental conditions such as attention-deficit/hyperactivity disorder and autism spectrum disorder, omega-3 supplementation shows modest but potential benefits in reducing behavioral symptoms and supporting executive function, although results remain mixed. Additionally, omega-3 fatty acids exhibit anti-inflammatory properties that may positively influence metabolic health, including lipid profiles, insulin sensitivity, and obesity-related risk factors in children. Omega-3-enhanced foods provide an alternative to supplements and may improve adherence and overall dietary quality. However, variability in dosage, study design, and baseline nutritional status limits definitive conclusions. Overall, omega-3 fatty acids appear to support healthy development and may aid in managing certain neurological and metabolic disorders in children. Full article

This study investigates lignite, long-flame coal, coking coal, and anthracite to elucidate the rank-dependent evolution of coal macromolecular structure and pore systems. Elemental/proximate analyses, FTIR, XPS, ¹³C NMR, and low-temperature N₂ adsorption–desorption, combined with BET, BJH, and DFT models, were employed to quantify structural parameters, characterize pore-size distributions, and establish representative macromolecular models. The results show that coalification is accompanied by progressive aromatization and polycondensation. Low-rank coal contains abundant hydroxyl, carboxyl, and aliphatic side-chain structures, exhibiting low aromaticity and weak aromatic-ring condensation. With increasing rank, oxygen-containing groups and aliphatic chains are progressively removed, while aromatic carbon content and the bridgehead-to-peripheral carbon ratio increase markedly. High-rank coal is dominated by highly condensed aromatic lamellae, with lower molecular polarity and enhanced structural ordering and graphitization. Meanwhile, N and S occurrence modes evolve from edge-related reactive species to more stable heterocyclic configurations, reflected by increasing graphitic N and thiophenic S contents. Pore structures also change systematically: low-rank coal is characterized by open, multimodal mesopores; intermediate-rank coal shows compaction and mesopore collapse; and high-rank coal becomes micropore-dominated with a relatively closed network. The U-shaped variation in micropore and mesopore volumes with rank indicates coupled macromolecular polycondensation and pore reconstruction, providing a structural basis for spontaneous combustion propensity and coalbed methane occurrence. Full article

This study develops a Life-Cycle Sustainability Framework for circular business models in the context of post-war economic reconstruction and sustainable value chain transformation. Ukraine is used as the main case study due to its post-war reconstruction context and the need for resource-efficient economic recovery strategies. Under conditions of disrupted supply systems, resource constraints, and structural economic change, circular economy principles are conceptualized as strategic mechanisms for enhancing resilience, resource efficiency, and long-term competitiveness rather than solely as environmental policy instruments. Building on a structured hierarchy of circular business models aligned with product life-cycle stages, the framework emphasizes value retention through functional and usage extension beyond material recovery. The framework includes a hierarchical classification of 12 circular business models and a sustainability evaluation approach based on four criteria (K1–K4), which allow for the comparative assessment of circular business models and their combinations across life-cycle stages. Using secondary statistical data and policy review as analytical inputs, the study identifies sectors with high potential for circular transformation and sustainable investment, including agriculture, energy, industry, construction, and logistics. The results indicate that circular business models applied at early life-cycle stages, such as reuse, repair, and remanufacturing, provide the highest potential for reducing resource intensity and improving long-term economic sustainability, while recycling and energy recovery play a supporting role. These findings highlight how life-cycle-oriented circular strategies can support sustainable reconstruction pathways, strengthen international cooperation, and inform policy and managerial decision-making in transitional economic contexts. Full article