Search Results (34,562)

Background/Objectives: The emergence of immune-evasive SARS-CoV-2 variants highlights the need for adaptable vaccine strategies. Trimeric receptor-binding domain (tRBD) antigens offer structural and immunological advantages over monomeric RBDs, but DNA vaccine efficacy has been limited by inefficient antigen expression, particularly in non-dividing antigen-presenting cells. Although cytoplasmic transcription–based DNA platforms have been developed to overcome nuclear entry barriers, their utility for antigen structure–function optimization remains underexplored. This study evaluated whether integrating a rationally designed trimeric RBD with a T7-driven cytoplasmic transcription system could enhance immunogenic performance. Methods: A DNA vaccine encoding a tandem trimeric SARS-CoV-2 RBD was delivered using a T7 RNA polymerase-driven cytoplasmic transcription system. In vitro antigen expression was assessed following Lipofectamine 3000-mediated transfection. In vivo, mice were immunized with the SM-102-based Rpol/tRBD/LNP formulation, and immunogenicity was assessed by antigen-specific antibody titers, serum neutralizing activity, and T-cell response profiling, together with basic safety/tolerability evaluations. Results: The T7-driven cytoplasmic transcription system markedly increased antigen mRNA and protein expression compared with conventional plasmid delivery. Rpol/tRBD vaccination induced higher anti-RBD IgG titers, enhanced neutralizing antibody activity, and robust CD8⁺ T cell responses relative to monomeric RBD and plasmid-based trimeric RBD vaccines. Immune responses were Th1-skewed and accompanied by germinal center activation without excessive inflammatory cytokine induction, body-weight loss, or hepatic and renal toxicity. Conclusions: This study demonstrates that integrating rational trimeric antigen engineering with direct cytoplasmic transcription enables balanced and well-tolerated immune activation in a DNA vaccine context. The T7 autogene-based platform provides a flexible framework for antigen structure–function optimization and supports the development of next-generation DNA vaccines targeting rapidly evolving viral pathogens. Full article

This study formulates and verifies a network-based evaluation methodology for appraising the sustainable competitiveness of community enterprises. Based on Social Capital Theory, the Resource-Based View (RBV), and Network Theory, the model defines high-quality networks as structural relational circumstances that facilitate resource sharing and knowledge sharing, serving as mediating mechanisms that improve competitive outcomes. A quantitative study approach was utilized, gathering survey data from 451 representatives of community enterprises around Thailand, and Structural Equation Modeling (SEM) was applied to assess both measurement features and structural relationships. The model demonstrates satisfactory internal reliability, convergent validity, and discriminant validity, affirming measurement adequacy. Empirical evidence indicates that high-quality networks are positively correlated with sustainable competitiveness, both directly and indirectly, with 49.2% of the overall effect conveyed through resource and knowledge exchange, emphasizing the practical value of network-based processes. The suggested model offers practical utility for policymakers and development agencies in search of evidence-based instruments to enhance competitiveness, network capacity, and long-term resilience in community enterprises. The cross-sectional methodology and lack of contextual control variables restrict causal inference and external generalizability, highlighting the necessity for longitudinal or quasi-experimental expansions. By emphasizing model creation and empirical validation, this study develops a systematic and reproducible methodological framework for assessment. Full article

Achieving sustainable land restoration in southern Chinese ionic rare earth mining areas remains a significant challenge due to the extended duration and low efficiency of conventional remediation approaches. Although the hyperaccumulator Dicranopteris pedata possesses a remarkable capacity for rare earth element (REE) enrichment, a significant knowledge gap exists regarding how to effectively combine exogenous organic acids with agronomic practices like clipping to enhance its remediation efficiency in an environmentally sustainable manner. Crucially, the potential environmental risks associated with such synergistic strategies have not been systematically evaluated, hindering their practical application. To address this, our study focused on Dicranopteris pedata and employed integrated pot and soil column leaching experiments to systematically analyze the effects of different concentrations of citric acid and tartaric acid on REE migration and transformation within the soil–plant system. The results demonstrated that exogenous organic acids significantly reduced soil pH and promoted the conversion of REEs from the residual to the exchangeable fraction. Specifically, the 20 mmol·kg⁻¹ citric acid treatment increased the proportion of exchangeable REEs by 43.46%. Furthermore, organic acid treatments significantly altered the REE uptake patterns in Dicranopteris pedata, inhibiting the translocation and accumulation of REEs in the aboveground tissues. Soil column leaching experiments revealed that citric acid drove the migration of REEs to deeper soil layers, with the concentration peaking at 288.33 mg·kg⁻¹ at a depth of 6–8 cm; concomitantly, the REE content in the leachate reached its maximum on the 5th day. This study demonstrates that the combined application of 20 mmol·kg⁻¹ citric acid and 100% clipping management increased the annual REE accumulation in Dicranopteris pedata to 4.85 g·m⁻², thereby significantly shortening the theoretical remediation period from 25.0 years in the control to 12.1 years. Soil column leaching experiments indicated no significant secondary pollution risk associated with this strategy. These findings provide a feasible, low-risk, and sustainable technical strategy for the synergistically enhanced remediation of REE-contaminated soils, offering a promising path for ecological restoration and sustainable land management in degraded mining ecosystems. Full article

Mental health conditions have become an increasing concern among university students, particularly those pursuing health science disciplines such as pharmacy. Rigorous academic demands, high workloads, and sustained psychological pressure place pharmacy students at a high risk of mental health disorders, including depression, anxiety, stress, and suicidal ideation. This study aimed to systematically review and quantitatively synthesize existing evidence on the prevalence of mental health conditions among pharmacy students in Thailand and globally using a meta-analytic approach. A comprehensive literature search was conducted across the major academic databases, including PubMed, ScienceDirect, Scopus, and ThaiJo, using predefined search terms and stringent inclusion criteria to ensure methodological rigor and relevance. Data from eligible studies were extracted and analyzed using STATA software to ensure statistical precision and reliability of the pooled estimates. A total of 51 studies, comprising 17,717 pharmacy students across 16 countries, including the United States, Thailand, Brazil, Malaysia, Syria, Pakistan, Poland, France, Portugal, Nigeria, Saudi Arabia, Sudan, Lebanon, Egypt, the United Arab Emirates, and Vietnam, were included. The meta-analysis revealed pooled prevalence rates of 44.26% for depression (95% CI: 36.08–52.61), 52.01% for anxiety (95% CI: 42.86–61.09), 48.10% for stress (95% CI: 32.96–63.43), and 24.52% for suicidal ideation (95% CI: 14.10–36.70). These findings reflect a substantial mental health burden among pharmacy students, necessitating immediate and context-specific interventions. Considering these findings, academic institutions must develop and implement comprehensive mental health support strategies. Such initiatives should include early identification and screening programs, access to psychological counseling services, resilience-building interventions, and stress management workshops to effectively address the psychological needs of pharmacy students and enhance their academic and personal well-being. Full article

Objectives: This study evaluated the analytical and clinical performance of a novel NS1 rapid diagnostic test in a dengue-endemic setting in Thailand. Methods: The K-Dengue NS1 Ag test (K.Bio Sciences, Pathumthani, Thailand) was developed. Analytical performance included determination of LOD, reproducibility, and evaluation against potentially cross-reactive pathogens and interfering substances. Unlike conventional assays employing 40 nm colloidal gold, this test incorporates 80 nm gold nanospheres to enhance detection sensitivity. The LOD was determined by serial dilution of recombinant NS1 proteins representing all four dengue virus serotypes. Clinical performance was assessed using 185 archived plasma samples collected between January 2024 and February 2025 from two tertiary care hospitals in Thailand, with a commercial NS1 ELISA serving as the reference standard. Results: The K-Dengue NS1 test demonstrated serotype-specific limits of detection (LODs) for recombinant NS1 antigen, 2.9 ng/mL (DENV-1), 0.5 ng/mL (DENV-2), 25.2 ng/mL 27 (DENV-3), and 4.5 ng/mL (DENV-4). Cross-reactivity testing revealed no false positives against closely related arboviruses or common co-infections, and no interference was observed from frequently encountered pathogens or biochemical substances. In clinical evaluation, the assay achieved a sensitivity of 98.08% (51/52), a specificity of 100% (133/133), and an overall accuracy of 99.37%. Importantly, sensitivity was significantly higher in primary infections (100.00%) than in secondary infections (93.3%, p = 0.288). Conclusions: In this clinically oriented evaluation, the K-Dengue NS1 rapid test showed high specificity and good sensitivity, particularly in primary dengue infections. While the assay may be useful as part of early diagnostic workflows in comparable healthcare settings, reduced sensitivity in secondary infections indicates that negative NS1 results should be interpreted with caution and, where appropriate, supplemented with additional diagnostic methods. Full article

The emergence of low-cost edge devices has enabled the integration of automatic speech recognition (ASR) into IoT environments, creating new opportunities for real-time language assessment. However, achieving reliable performance on resource-constrained hardware remains a significant challenge, especially on the Artificial Internet of Things (AIoT). This study presents an AIoT-based framework for automated English-speaking assessment that integrates architecture and system design, ASR benchmarking, and reliability analysis on edge devices. The proposed AIoT-oriented architecture incorporates a lightweight scoring framework capable of analyzing pronunciation, fluency, prosody, and CEFR-aligned speaking proficiency within an automated assessment system. Seven open-source ASR models—four Whisper variants (tiny, base, small, and medium) and three Vosk models—were systematically benchmarked in terms of recognition accuracy, inference latency, and computational efficiency. Experimental results indicate that Whisper-medium deployed on the Raspberry Pi 5 achieved the strongest overall performance, reducing inference latency by 42–48% compared with the Raspberry Pi 4 and attaining the lowest Word Error Rate (WER) of 6.8%. In contrast, smaller models such as Whisper-tiny, with a WER of 26.7%, exhibited two- to threefold higher scoring variability, demonstrating how recognition errors propagate into automated assessment reliability. System-level testing revealed that the Raspberry Pi 5 can sustain near real-time processing with approximately 58% CPU utilization and around 1.2 GB of memory, whereas the Raspberry Pi 4 frequently approaches practical operational limits under comparable workloads. Validation using real learner speech data (approximately 100 sessions) confirmed that the proposed system delivers accurate, portable, and privacy-preserving speaking assessment using low-power edge hardware. Overall, this work introduces a practical AIoT-based assessment framework, provides a comprehensive benchmark of open-source ASR models on edge platforms, and offers empirical insights into the trade-offs among recognition accuracy, inference latency, and scoring stability in edge-based ASR deployments. Full article

Chronic kidney disease (CKD) afflicts 850 million people worldwide, with an estimate that it is the 5th highest cause of years of life lost (YLLs). Standard confirmatory procedures for disease are blood and urine analysis with ultrasound for confirmation. Neutrophil gelatinase-associated lipocalin (NGAL) has been established as a prognostic biomarker, especially for the pre-clinical stages of CKD, thus presenting itself as a dependable predictor of the progression. With the aim of designing diagnostics, fatty acids were explored as potential biorecognition elements for the selective capture of NGAL. Three fatty acids—linoleic acid, arachidonic acid, and retinoic acid—were shortlisted as plausible candidates based on their known affinity toward lipocalin family proteins. Docking followed by molecular dynamics simulations were employed to evaluate the binding affinity and stability of each complex. Among them, linoleic acid exhibited the most favorable interaction, as evidenced by the lowest binding free energy. Subsequently, fluorescence and electrochemical techniques—square-wave voltammetry, differential pulse voltammetry, cyclic voltammetry, and electrochemical impedance spectroscopy (EIS)—were systematically compared for qualitative and quantitative checking of the accuracy of NGAL detection. Amongst the electrochemical techniques, differential pulse voltammetry DPV demonstrated superior analytical performance with an LOD of 0.05 ng/mL with a sensitivity of 23.2 µA/cm²/pg. To the best of our knowledge, this is the first report of a fatty acid-based biosensor platform for NGAL detection, presenting a novel approach for CKD diagnostics. The sensitivity obtained is comparable with available NGAL detection methods yet cost-effective and robust. Full article

Beyond their canonical role in promoting G1/S progression, the complexes formed by cyclin D and cyclin-dependent kinase (CDK) 4/6 have emerged as contributors to enhanced cell migration. However, a direct link between this complex and cytoskeletal remodeling during cell motility has remained poorly understood. Here, we show that CDK4/6 inhibition in HeLa cells disrupts lamellipodia formation and subsequent focal adhesion assembly, leading to a reduction in cell migration and invasion. Notably, CDK4, but not CDK6, in complex with cyclin D1/D2, localizes to membrane ruffles to facilitate cytoskeletal reorganization. Mechanistically, proteomic and phosphoproteomic analyses revealed that CDK4 inhibition attenuates the transforming growth factor β (TGFβ) pathway via reduced Smad3 phosphorylation at Thr8, downregulating integrin subunits (α5, α6, and β1). Furthermore, CDK4 inhibition significantly decreased focal adhesion kinase (FAK) phosphorylation at Tyr397 and Rac1-GTP levels. Importantly, the resulting migration defect was largely restored by activation of either Rac1 or FAK. Thus, our data support a model in which cyclin D1/D2–CDK4 promotes phosphorylation of Smad3, leading to upregulation of integrin subunits, activation of FAK and Rac1, and consequent lamellipodia formation and cell migration. These findings provide direct evidence that CDK4 regulates actin cytoskeletal reorganization during cell migration and suggest that CDK4/6 inhibitors may dampen cytoskeleton-dependent tumor invasion, in addition to their antiproliferative effects. Full article

In many developing countries, seismic vulnerability remains high due to the widespread presence of informally constructed buildings without professional design or technical supervision. In Colombia, where nearly 60% of structures are non-engineered, this issue is especially acute. The objective of this study is to design, implement, and quantitatively evaluate the Learning Experience for Earthquake Awareness Program (LEAP), an experiential educational strategy for young students that enhances seismic knowledge, promotes sustainable construction awareness, and contributes to disaster risk reduction as a component of social sustainability. To address this challenge, LEAP introduces students to basic principles of structural mechanics and seismic behavior through playful, hands-on activities combining theoretical instruction, practical experimentation, collaborative design, and the testing of model structures. An experimental design with pre- and post-surveys was implemented with 141 participants, including 80 secondary school students (grades 8th–11th) and 61 university students enrolled in engineering, architecture, and construction programs, using 3D-printed models, earthquake simulators, and interactive games. Statistical analysis using the Wilcoxon signed-rank test ($p<0.05$) revealed significant improvements in conceptual understanding and perception, including gains in distinguishing between the hypocenter and epicenter ($+45.39\%$, $p=5.10\times {10}^{-8}$, $r=0.50$), understanding seismic magnitude ($+39.01\%$, $p=1.67\times {10}^{-12}$, $r=0.71$), and visually identifying structural vulnerabilities ($+25.50\%$, $p=4.50\times {10}^{-2}$, $r=0.41$). Overall, LEAP contributes to disaster risk reduction and social sustainability by strengthening seismic awareness and responsible construction practices. The most significant results were observed among secondary school students, while university participants mainly reinforced applied and visual comprehension. Given its convenience sample, lack of control group, and immediate post-test, findings should be interpreted as exploratory and associative. Full article

The simultaneous HPLC method for quantifying Quercetin (Que), Thymoquinone (Thy), and Pterostilbene (Pte) aims at the precise measurement of these polyphenols alone or in complex mixtures, targeting their therapeutic potential in disorders such as diabetes and epilepsy. The method focuses on quantifying Que, Thy, and Pte, utilizing optimized reversed-phase HPLC conditions as per ICH Q2(R1) standards. Key validation aspects include linearity, specificity, precision, and accuracy, ensuring compliance for quality control in nanomedicine and nutraceuticals, and the method’s applications support pharmacokinetic studies and stability testing, contributing to personalized medicine and addressing pharmaco-resistance. The HPLC method development and validation were performed on a phenyl column using the mobile phase consisting of solvent A (0.1% orthophosphoric acid in HPLC water) and solvent B (acetonitrile) at a ratio of 55:45 in an isocratic elution mode at a flow rate of 1 mL/min and at a column temperature of 35 °C. Ultraviolet detection was measured at 254 nm. Moreover, the method was validated for accuracy, precision, linearity, specificity, and sensitivity. The retention time for tested Que, Thy, and Pte was observed at 4.15 min, 8.70 min, and 10.75 min, respectively. Limits of detection for Que, Thy, and Pte were 1.55 μg/mL, 2.40 μg/mL, and 70.79 µg/mL, whereas limits of quantification were 4.69 μg/mL, 7.28 μg/mL, and 214.52 µg/mL, respectively. Linearity and correlation coefficients for Que, Thy, and Pte were found in the range of 50–250 μg/mL (0.9999), 50–250 μg/mL (0.9999), and 620–3100 μg/mL (0.9996), respectively. A reasonable level of accuracy was indicated by the tested method suggesting extremely high recovery levels (98–102%). The separation of tested compounds was achieved within 11 min. The developed and validated RP-HPLC–UV method was successfully applied for the identification and quantification of Que, Thy, and Pte for their combined estimation in complex formulations. From the validation study, it was found that the tested method is specific, accurate, precise, reliable, and reproducible. Full article

Additive manufacturing offers rapid and customizable production, yet conventional plastic-based methods remain energy-intensive and environmentally harmful, often resulting in higher impacts per part than traditional manufacturing. The goal of this study was to evaluate whether upcycled biomaterials, specifically oyster shells, pistachio shells, and clay, could be used as lower-impact alternatives to PLA in 3D printing. The scope included detailed measurement of print parameters for each material and a full life cycle assessment (LCA) of the printed elements, covering printer manufacturing, raw material extraction, transport, operation, and end of life. The results show that ambient-temperature extrusion of these upcycled biomaterials can reduce energy consumption by up to 89% and overall environmental impact by up to 94% (as measured by ReCiPe Endpoint H points) compared to PLA printing. These reductions were observed for the Netherlands and EU contexts, where electricity mixes are relatively clean and recycling rates are high; even greater improvements were observed for the US. Although the printed biomaterial objects exhibit lower mechanical strength, limited waterproofness, and reduced print resolution, they are already suitable for low-load applications such as prototypes and architectural models. Overall, the findings demonstrate that upcycled biomaterial extrusion has strong sustainability potential, outperforming both conventional plastics and bioplastics such as PLA in terms of material impacts and energy use. Continued development of material formulations as well as pre- and post-processing techniques could further expand functionality and support the broader adoption of low-impact 3D printing across a wide range of applications. Full article

Background: Beyond the direct COVID-19 effects, the pandemic’s broader impact on vulnerable groups, such as patients with systemic sclerosis (SSc), is particularly concerning, especially regarding any resulting increase in overall mortality due to healthcare access disruptions. We aimed to determine excess all-cause mortality in SSc patients before and during the pandemic. Methods: We examined mortality data from Thailand’s Ministry of Public Health database for adults with SSc (ICD-10: M34). According to the WHO methodology, a negative binomial distribution model was used to estimate the expected number of deaths using pre-pandemic data (1 January 2015–31 December 2019). We evaluated actual versus expected deaths during the pandemic (1 January 2020 to 31 December 2022), defining excess mortality as the difference between observed and projected deaths under normal conditions. Results: The total number of all-cause deaths in Thailand was 2,325,384 in the pre-pandemic period and 1,634,121 during the pandemic period. The mortality rate among patients with SSc was 3693 before and 3107 during the pandemic. Of those with SSc, 1785 of the deceased were female, and the observed mortality was significantly lower than expected, with an excess death count of −368 (95% CI: −459 to −277), as well as in males with an excess death count of −123 (95% CI: −198 to −48). However, younger SSc patients (aged 18–29 years) experienced significantly higher excess mortality, with an excess death count of 11 (95% CI: 4–18). Conclusions: During the COVID-19 pandemic, neither sex had significantly higher SSc mortality; however, mortality in younger SSc patients increased significantly compared to pre-pandemic levels, underscoring the need for tailored therapies. Full article

Background/Objectives: Enhancing excipient functionality through environmentally friendly and scalable processing methods is essential for improving the manufacturability and performance of orally disintegrating tablets (ODTs). Microwave-assisted wet granulation enables controlled microstructural modification without chemical alteration of excipient components. This study aimed to develop and evaluate a rice starch (RS)–mannitol co-processed excipient using microwave-assisted wet granulation for direct compression of ODTs. Methods: RS and mannitol were co-processed by wet granulation followed by microwave treatment under varying power levels and irradiation times. The effects of processing conditions on granule morphology, solid-state properties, porosity, powder flow, compressibility, wettability, and disintegration behavior were systematically investigated. The optimized excipient was further evaluated in ODT formulations containing chlorpheniramine maleate and piroxicam and benchmarked against a commercial co-processed excipient (Starlac^®). Results: Microwave treatment generated internal vapor pressure that promoted pore formation and particle agglomeration, resulting in enhanced powder flowability (compressibility index 8.4–10.8%). Partial crystallinity reduction and microstructural modification improved compressibility and surface wettability compared with non-microwave-treated materials. The optimized formulation (MW-RM-H-30) exhibited rapid wetting (25 s), high water absorption (90.5%), low contact angle (42°), and fast tablet disintegration (31 s). ODTs prepared with MW-RM-H-30 showed rapid disintegration (42 s for chlorpheniramine maleate and 32 s for piroxicam) and dissolution behavior comparable to Starlac^®. Conclusions: Microwave-assisted wet granulation provides an efficient, scalable, and environmentally friendly strategy for engineering starch-based co-processed excipients with enhanced functionality for direct compression ODT applications. The developed excipient demonstrates strong potential for solid dosage form manufacturing. Full article

Insects are increasingly recognized as sustainable protein sources due to their high feed conversion efficiency and low environmental impact. Among them, the superworm, Zophobas morio (Fabricius) (Coleoptera: Tenebrionidae), has strong potential for large-scale production; however, optimized feeding strategies under tropical conditions remain limited. This study aimed (1) to determine the optimal feed formulations and feeding rate using wheat bran supplemented with the KMITL Protein Innovation source (a protein feed ingredient developed by the School of Agricultural Technology, King Mongkut’s Institute of Technology Ladkrabang, KMITL), and (2) evaluate the influence of plant-based supplementary foods on larval performance. In Phase I, larvae were reared on 13 formulations with three protein levels (CP00, CP21, and CP24) and five feeding rates (A–E). Diets CP21–21 and CP24–21 (21 and 24% CP; wheat bran/protein = 2:1) resulted in the highest survival (83.4–84.1%) and the lowest feed conversion ratios (FCR = 2.29–2.34). Moderate feeding rates (C–D; 925–1110 g feed per tray for 50 days) produced the greatest larval weights (700–760 mg), whereas ad libitum feeding provided no additional benefit. In Phase II, larvae reared on CP21–21 with a restricted rate of 1100 g per tray and supplemented with ten plant-derived foods achieved comparable final weights (716–760 mg), but survival varied significantly among treatments. Mulberry leaf yielded the highest survival (95.3%), followed by banana, watermelon rind, winter melon, and jicama (>90%). Pumpkin and jicama accelerated pupation and adult emergence, showing a female-biased sex ratio among emerged adults (59.2–65.5%), suggesting enhanced developmental rates. These results establish a practical framework for cost-effective and sustainable Z. morio production under tropical conditions, contributing to circular bioeconomy strategies and supporting insect-protein innovation. Full article