Search Results (12,994)

Background/Objectives: Erythromelalgia is a rare condition characterized by burning pain, redness, and warmth primarily in the extremities, usually worsened by heat and alleviated by cold. The objective of this study was to identify the top 10 priorities in pediatric erythromelalgia from multiple perspectives, including clinicians, people with lived experience of childhood-onset erythromelalgia, and their family members. Methods: A modified James Lind Alliance Priority-Setting Process was conducted. The top priorities were identified through four phases: (1) an international online survey to gather priorities, (2) data processing, (3) an interim prioritization online survey, and (4) a virtual workshop to set the final priorities. Results: In phase 1, 185 potential priorities were submitted by 74 respondents (53% patients, 24% family members, and 23% clinicians) that were developed into 68 unique research questions (phase 2). In phase 3, of the 68 questions, 50 were rated for importance by 58 participants (38% patients, 36% family members, and 26% clinicians), reducing the list to 25 questions. In phase 4, the top 10 was reached through consensus by 12 participants (33% patients, 25% family members, and 42% clinicians) across Canada, South Africa, the United States of America, and the United Kingdom. Conclusions: The final priorities focused on the treatment of erythromelalgia, understanding underlying mechanisms, the association of erythromelalgia with various body systems, and generating awareness. This list is the first international patient-centered research agenda for childhood-onset erythromelalgia and a call to action from key partners to improve future research and care. Full article

Rapid advances in artificial intelligence (AI) are reshaping curricula and work, yet technology and engineering education lack a coherent, critical AI literacy pathway. In this study, we (1) mapped dominant themes and intellectual bases and (2) compared AI literacy between secondary technical students and pre-service technology and engineering teachers to inform curriculum design. Moreover, we conducted a Web of Science bibliometric analysis (2015–2025) and derived a four-pillar framework (Foundational Knowledge, Critical Appraisal, Participatory Design, and Pedagogical Integration) of themes consolidated around GenAI/LLMs and ethics, with strong growth (1259 documents, 587 sources). Phase 2 was a cross-sectional field study (n = 145; secondary n = 77, higher education n = 68) using the AI literacy test. ANOVA showed higher total scores for pre-service teachers than secondary technical students (p = 0.02) and a sex effect favoring males (p = 0.01), with no interaction. MANCOVA found no multivariate group differences across 14 competencies, but univariate advantages for pre-service technology teachers were found in understanding intelligence (p = 0.002) and programmability (p = 0.045); critical AI literacy composites did not differ by group, while males outperformed females in interdisciplinarity and ethics. We conclude that structured, performance-based curricula aligned to the framework—emphasizing data practices, ethics/governance, and human–AI design—are needed in both sectors, alongside measures to close gender gaps. Full article

Student course performance evaluation serves as a critical pedagogical tool for diagnosing learning gaps and enhancing educational outcomes, yet conventional assessments often suffer from rigid single-metric scoring and ambiguous causality. This study proposes an integrated analytic framework addressing these limitations by synergizing pedagogical expertise with data-driven diagnostics through four key measure: (1) Interval Analytic Hierarchy Process (I-AHP) to derive criterion weights reflecting instructional priorities via expert judgment; (2) K-means clustering to objectively stratify students into performance cohorts based on multidimensional metrics; (3) Random Forest classification and SHAP value analysis to quantitatively identify key discriminators of cluster membership and interpret decision boundaries; and (4) attribution-guided interventions targeting cohort-specific deficiencies. Leveraging a dual-channel ecosystem across pre-class, in-class, and post-class phases, we established a hierarchical evaluation system where I-AHP weighted pedagogical sub-criteria to generate comprehensive student scores. Full article

Treating bacterial infections has become increasingly difficult due to the rise in antibiotic-resistant bacterial strains. Strategies involving the targeted delivery of antibiotics have been proposed to minimize the administered antibiotic doses. This study aims to develop the first double-modified nanovehicle capable of increasing bacterial membranes’ permeability while specifically targeting Staphylococcus aureus, one of the foremost pathogens responsible for global mortality rates. Thus, polymeric NPs composed of poly(lactic-co-glycolic acid) (PLGA) were produced, and their surface was modified with TAT peptide to increase the membranes’ permeability and folic acid (FA) to direct the NPs to S. aureus. The nanosystem showed spherical morphology with sizes of 174 ± 4 nm, a monodisperse population (polydispersity index of 0.08 ± 0.02), and a zeta potential of −2.5 ± 0.1 mV. The NPs remained stable for up to four months during storage. Fluorescence-based flow cytometry analysis proved that the double modification of PLGA NPs increased the interaction of the NPs with S. aureus, with fluorescence increasing from 71 ± 3% to 87 ± 1%. The nanosystem slightly affected the growth curve of S. aureus by extending both the lag time (from 2.5 ± 0.2 to 2.88 ± 0.4 h) and the exponential phase, as evidenced by an increase in the half-maximum growth time (from 3.9 ± 0.2 to 4.4 ± 0.1 h). Furthermore, the nanocarrier showed no toxicity for human dermal fibroblast cells, maintaining a 100% cell viability at the highest concentration tested (100 µM). Therefore, the proposed FA/TAT-functionalized nanocarrier presented promising features to be successfully used as a delivery vehicle of antimicrobials to fight S. aureus. Full article

Garlic (Allium sativum) is widely used in human diets and medicine, but its safety for dogs remains uncertain. Heinz bodies in red blood cells are indicators of oxidative damage, which may lead to hemolytic anemia. This study evaluated the effects of different forms and concentrations of garlic on canine erythrocytes in vitro. The experiment consisted of two phases: Phase 1 compared fresh, dried, and granulated garlic, while Phase 2 assessed two concentrations of granulated garlic (0.1 and 0.2 g/mL). Blood from healthy dogs was incubated with ethanol extracts of garlic. Hemolysis was measured spectrophotometrically by hemoglobin release, and blood smears were examined for Heinz bodies and eccentrocytes. All garlic preparations caused hemolysis, most strongly granulated garlic at 0.2 g/mL (p < 0.01). Blood smears confirmed red blood cell damage, with more Heinz bodies and eccentrocytes in dried and granulated garlic samples. In conclusion, the form and concentration of garlic strongly influence its hemolytic activity. Processing methods such as drying and granulation may enhance the release of reactive compounds, increasing the risk of oxidative damage to canine red blood cells. Full article

The Dung Beetle Optimizer (DBO) has shown promise in solving complex optimization problems, yet it often suffers from premature convergence and limited accuracy. To overcome these limitations, this paper proposes the Enhanced Reproductive Dung Beetle Optimizer (ERDBO). The ERDBO introduces a three-stage mechanism: (1) a larval growth phase using experiential learning to enrich population diversity and improve global exploration; (2) a reproduction and nurturing phase that employs parent–offspring verification and a teaching strategy to strengthen local exploitation; and (3) a predator avoidance phase integrating Lévy flight and sinusoidal perturbations to enhance adaptability and accelerate convergence. The effectiveness of the proposed algorithm is assessed using the CEC2017 benchmark functions, where it is contrasted with several advanced metaheuristic approaches. The experimental findings highlight its advantages in terms of convergence rate, stability, and solution precision. Furthermore, the ERDBO is applied to three well-known engineering design tasks—namely the tension/compression spring, the three-bar truss, and the pressure vessel problem. The outcomes verify both its efficiency and applicability, indicating that the ERDBO provides a robust and competitive optimization framework for tackling challenging real-world engineering scenarios. Full article

The present work investigated the effect of different storage temperatures (10 °C, 30 °C, and 50 °C) on the mechanical, structural, chemical, and microstructural properties of a set of sustainable mortars with gray waste. Three types of mortar were investigated: (1) Type A, prepared from a proportion of 1 part cement: 1 part hydrated lime: 6 parts sand; (2) Type B, prepared from a proportion of 1 part cement: 1 part hydrated lime: 6 parts sand: 0.1 part waste; and (3) Type C, prepared from a proportion of 0.9 part cement: 1 part hydrated lime: 6 parts sand: 0.1 part waste. The waste incorporation reduced compressive strength by 8%, while partial cement replacement reduced by 33%. The cement storage at 10 °C preserved the compressive strength, whereas storage at 50 °C increased it by 8.8%. In type B mortar, the waste incorporation improved compressive strength by 19% at 50 °C. The most substantial enhancement occurred in type C mortar, where cement replacement with residue and storage at 50 °C led to a 27% increase. These results highlight the potential of higher storage temperatures to mitigate cement degradation in humid environments. Furthermore, XRD analysis revealed that cement storage temperature did not affect the formation of primary cement phases, as degradation products were chemically similar to hydration products. However, sustainable mortars exhibited changes in the C-S-H phase signal when the cement is stored for 90 days at 30 °C. Finally, SEM and EDS analyses identified variations in Ca, Si, and O proportions depending on storage conditions. Full article

Thorium-rare earth-iron oxide deposits of the Lemhi Pass district, Idaho and Montana, are enriched in the middle rare earth elements (REE), and particularly neodymium (Nd). Overall, thorium (Th) and total rare earth oxide (TREO) grades of the deposits are sub equal at 0.4 wt. % but locally exceed 1 wt. % TREO. Nd-monazite, the major REE phase (35 wt. % Nd₂O₃) occurs in hydrothermal Th-REE mineralized quartz veins and biotite-rich shear zones of enigmatic origin. Hosted in Mesoproterozoic metasedimentary rocks, the deposits are modest in size but present over a large area with no obvious source pluton exposed. This paper documents the geochemistry of the monazite and provides the first geochronological data to constrain its origin. Elemental mapping and U-Th-total Pb EPMA dating of the monazite and thorite document a Paleozoic age for mineralization centered in the Late Devonian at approximately 355 Ma ± 20 Ma. A second period of volumetrically minor Th and REE remobilization is dated as Mesozoic (ca. 100 Ma). For context, a reactivated passive continental margin was present during the Devonian in eastern Idaho, while the Mesozoic was a time of major accretionary tectonics and arc magmatism further west. Nd and Pb isotopic data require a significant interaction of the fluids with an ancient crustal component represented by regional Mesoproterozoic metasedimentary rocks and granitoids. A source–transport–deposition model is hypothesized with metasomatic fractionation and enrichment of Nd during regional hydrothermal circulation. The aqueous fluids were hot, oxidizing, and likely saline, but the exact source of the Th and REEs and the mechanism of enrichment remains problematic. Additional analytical work and increased knowledge of the regional and district geology will improve this unconventional hypothesis for formation of Lemhi Pass’ unusual Nd-rich Th-REE-Fe mineralization. Full article

Amid the rapid evolution of the digital economy reshaping global competitiveness, China has advanced regional coordination through the Digital China initiative and the “Data Elements ×” Three-Year Action Plan (2024–2026). To further integrate digital transformation with high-quality growth in the urban agglomerations of the middle and lower Yellow River, this study aims to strengthen regional competitiveness, expand digital industries, foster new productivity, refine the development pathway, and safeguard balanced economic, social, and ecological progress. Taking the Yellow River urban clusters as the research object, a comprehensive assessment framework encompassing seven subsystems is established. By employing a mixed-weighting approach, entropy-based TOPSIS, hotspot analysis, coupling coordination models, spatial gravity shift techniques, and grey relational methods, this study investigates the spatiotemporal dynamics between the digital economy and high-quality development. The findings reveal that: (1) temporally, the coupling–coordination process evolves through three distinct phases—initial fluctuation and divergence (1990–2005), synergy consolidation (2005–2015), and high-level stabilization (2015–2022)—with the average coordination index rising from 0.21 to 0.41; (2) spatially, a persistent “core–periphery” structure emerges, while subsystem coupling consistently surpasses coordination levels, reflecting a pattern of “high coupling but insufficient coordination”; (3) hot–cold spot analysis identifies sharp east–west contrasts, with the gravity center shift and ellipse trajectory showing weaker directional stability but greater dispersion; and (4) grey correlation results indicate that key drivers have transitioned from economic scale and infrastructure inputs to green innovation performance and data resource allocation. Overall, this study interprets the empirical results in both temporal and spatial dimensions, offering insights for policymakers seeking to narrow the digital divide and advance sustainable, high-quality development in the Yellow River region. Full article

Hydrogel microneedles (HMNs) act as non-invasive devices that can effortlessly merge with the human body for drug delivery and diagnostic purposes. Nonetheless, their improvement is limited by intricate and repetitive issues related to material composition, structural geometry, manufacturing accuracy, and performance enhancement. At present, there are only a limited number of studies accessible since artificial intelligence and machine learning (AI/ML) for HMN are just starting to emerge and are in the initial phase. Data is distributed across separate research efforts, spanning different fields. This review aims to tackle the disjointed and narrowly concentrated aspects of current research on AI/ML applications in HMN technologies by offering a cohesive, comprehensive synthesis of interdisciplinary insights, categorized into five thematic areas: (1) material and microneedle design, (2) diagnostics and therapy, (3) drug delivery, (4) drug development, and (5) health and agricultural sensing. For each domain, we detail typical AI methods, integration approaches, proven advantages, and ongoing difficulties. We suggest a systematic five-stage developmental pathway covering material discovery, structural design, manufacturing, biomedical performance, and advanced AI integration, intended to expedite the transition of HMNs from research ideas to clinically and commercially practical systems. The findings of this review indicate that AI/ML can significantly enhance HMN development by addressing design and fabrication constraints via predictive modeling, adaptive control, and process optimization. By synchronizing these abilities with clinical and commercial translation requirements, AI/ML can act as key facilitators in converting HMNs from research ideas into scalable, practical biomedical solutions. Full article

Acne Vulgaris is a chronic inflammatory skin disorder driven by a combination of microbial colonization, immune dysregulation, and disruption of the epidermal barrier. Although isotretinoin remains the most effective treatment, the molecular mechanisms underlying its anti-inflammatory effects are incompletely understood. This study integrates transcriptomic meta-analysis and computational drug screening to identify novel therapeutic targets and candidate compounds for acne management. Three publicly available GEO datasets (GSE6475, GSE10433, GSE11792) were analyzed to identify differentially expressed genes (DEGs) associated with isotretinoin response. Among these, Spectrin beta, non-erythrocytic 1 (SPTBN1) and Signal-induced proliferation-associated 1-like protein 1 (SIPA1L1) emerged as consistently regulated genes with known roles in cytoskeletal organization and immune signaling, respectively. To assess the druggability of these targets, molecular docking was conducted using gentamicin and natural compounds derived from Cymbopogon winterianus, including citronellol, citral, citronellal, and geraniol. Gentamicin demonstrated the strongest binding affinity to SIPA1L1 (−8.6 kcal/mol) and SPTBN1 (−5.9 kcal/mol), forming multiple hydrogen bonds and hydrophobic contacts. Subsequent 100 ns molecular dynamics (MD) simulations confirmed the stability of the gentamicin–protein complexes, as evidenced by favorable RMSD, RMSF, and energy profiles. Interaction energy decomposition revealed strong contributions from electrostatic and van der Waals forces. These findings highlight the potential of gentamicin, and possibly structurally related natural compounds, as modulators of host inflammatory pathways implicated in acne. The study further underscores the utility of integrating transcriptomics, molecular docking, and MD simulation for early-phase therapeutic discovery targeting inflammation and barrier dysfunction in dermatological diseases. Full article

This study evaluates the technical and economic feasibility of liquid polymer emulsions as substitutes for powder polymers in polymer flooding applications, particularly in space-constrained, low-permeability reservoirs in Austria. Rheological tests determined that target viscosities of 20 mPa·s at 20 °C and a shear rate of 7.94 s⁻¹ were achieved using concentrations of 1200 ppm for liquid polymer 1 (LP1), 2250 ppm for liquid polymer 2 (LP2), and 1200–1400 ppm for powder polymers. Injectivity tests revealed that liquid polymers encountered challenges in 60 mD and 300 mD core plugs, with pressure stabilization not achieved at injection rates of 1–2.5 ft/day. Powder polymers demonstrated stable injectivity, with powder polymer 1 (PP1) showing an optimal performance at 10 ft/day and a low residual resistance factor (RRF). Two-phase core floods using PP1 and powder polymer 2 (PP2) at 1 ft/day yielded incremental oil recovery factors of approximately 5%, with a maximum of 8% observed for higher viscosity slugs. Economic analysis indicated that over a 3-year horizon, liquid polymers are 30% cheaper than powder polymer Option 1 but 100% more expensive than Option 2. Over a 10-year horizon, liquid polymers are 50% more expensive than both powder polymer options. Although liquid polymers offer logistical advantages, they are unsuitable for low-permeability reservoirs. Powdered polymers, particularly PP1, are recommended for pilot implementation due to superior injectivity, mechanical stability, and recovery performance. Full article

Triploids are typically formed through the fusion of a haploid gamete from a diploid organism and a diploid gamete from a tetraploid organism or through chromosome doubling in gametes by other means. To circumvent the multi-year flowering wait associated with tetraploid parents in conventional breeding, we developed a novel method for inducing triploid in birch through high-temperature treatment of female inflorescences. This approach integrates sexual hybridization with precise thermal treatment, with success hinging on the precise identification of the pollination window and the optimal treatment parameters. Our study systematically defines the optimal conditions for triploid production in birch via this high-temperature induction technique. The results demonstrate that the optimal period for stigma pollination was between day 5 to 6, immediately following the emergence of the stigma from the enclosing bracts. The most effective pollination was characterized by a bract dehiscence angle exceeding 60° on Day 15 after the pollination marks the phase of megaspore mother cell development. At this stage, the optimum treatment is either 40 °C for 2 h or alternately 42 °C for 1 h. These treatments result in the highest triploid induction rates of 33.82%, calculated with the total number of detected seedlings as the denominator. In addition, a logistic model was established between the ovary length-to-width ratio and the accumulated growing degree hours (GDH), providing a reliable quantitative indicator for determining the optimal timing of the high-temperature treatment. Compared with the conventional approach reliant on tetraploid parents, our method eliminates the lengthy phase of tetraploid induction and flowering wait (approximately 8 years), thereby reducing the triploid breeding cycle by about 6 years. The results substantiated the effectiveness of utilizing high temperatures to induce chromosome doubling in female gametes of birch species, providing a viable pathway for efficient polyploid breeding in this tree species. Full article

Hispanic, Asian, and African Americans are disproportionately affected by liver cancer, viral hepatitis B (HBV), and viral hepatitis C (HCV), in part because of barriers to liver cancer awareness and prevention. We implemented a community-based, culturally tailored initiative to raise awareness and promote uptake of behaviors for liver cancer prevention, early diagnosis, monitoring, and treatment. Guided by community-based participatory research (CBPR) principles and built on well-established collaboration with community-based organizations, we actively engaged the community advisory board (CAB), community health workers, and community members in multiple phases of (1) a community-based educational initiative, (2) a city-wide bus campaign, and (3) community health fairs. This multilevel initiative saw notable changes in community members’ knowledge of liver cancer, viral hepatitis, lifestyle behaviors like dietary patterns, and uptake of screening tests for HBV/HCV. Additionally, the comprehensive engagement of CAB, healthcare workers, and community members significantly benefited community capacity building on cancer research and health promotion. These CBPR-guided community initiatives had remarkable positive impacts on promoting liver cancer awareness and prevention among underserved racial/ethnic minorities. The academic–community relationships built on and strengthened through shared power, mutual respect, and trust serve as the foundation for sustainable community growth and empowerment. Full article

This study emphasizes overcoming the challenges of targeted drug delivery in colon cancer therapy by developing gastrointestinal (GI) stable, pectin-coated nanoliposomes for the oral delivery of Apigenin-Cyclodextrin Complex as an in situ gel formation. Initially, the formulation was strategically designed using design expert software for formulation optimization. FTIR and XRD studies were conducted to ensure physical compatibility and to confirm the encapsulation of apigenin within the formulation. In process optimization, among all seventeen formulations run tested, PNL (Api-Cy)-13 was identified for the highest drug loading, favourable size dimension of particle with zeta potential, and spherical external morphology through SEM analysis. The metered drug release during an in vitro study for PNL (Api-Cy)-13 was remarkably high (more than 75% of drug availability in the colonic environment, precisely in contrast to only 20% in the gastric phase in a sustained release manner), focused on colon drug targeting as an in situ gel. Furthermore, apigenin release from PNL (Api-Cy)-13 in an ex vivo chick ileum permeability study was observed both in the absence and presence of 1% vancomycin. An incremental apigenin release in the absence of the antibiotic (1% vancomycin) indicated gut microbial-associated and pectinase-mediated drug release. Here, pectin degradation materializes by the colonic microbial environment, which facilitates desirable incremental colonic drug permeation. Finally, an in vitro MTT assay and a competitive flowcytometric cell uptake study with PNL (Api-Cy)-13 using HCT-116 cells proved significant superiority in cytotoxicity profile for apigenin when delivered as an optimized coated nanoliposome in comparison to free apigenin or other non-modified nano-formulation. Also, the inhibition of the cell efflux process was validated by Multidrug Resistance 1 (MDR1) gene regulation. These observations establish an undoubted promise for the novel biopolymer, pectin-based apigenin-cyclodextrin nanoliposomes as targeted therapy in colon cancer with significant in vivo pharmacokinetics and safety profile. Full article