Search Results (4,784)

Serious games for children with Autism Spectrum Disorder (ASD) require rigorous evaluation frameworks that capture neurodivergent interaction patterns. This pilot study designed, developed, and evaluated a serious game for children with ASD, focusing on operability assessment aligned with ISO/IEC 25010:2023 standards. A repeated-measures design involved ten children with ASD from the Carlos Garbay Special Education Institute in Riobamba, Ecuador, across 25 gameplay sessions. A bespoke operability algorithm incorporating four weighted components (ease of learning, user control, interface familiarity, and message comprehension) was developed through expert consultation with certified ASD therapists. Statistical study used linear mixed-effects models with Kenward–Roger correction, supplemented by thorough validation including split-half reliability and partial correlations. The operability metric demonstrated excellent internal consistency (split-half reliability = 0.94, 95% CI [0.88, 0.97]) and construct validity through partial correlations controlling for performance (difficulty: r_partial = 0.42, p = 0.037). Eighty percent of sessions achieved moderate-to-high operability levels (M = 45.07, SD = 10.52). In contrast to requirements, operability consistently improved with increasing difficulty level (Easy: M = 37.04; Medium: M = 48.71; Hard: M = 53.87), indicating that individuals with enhanced capabilities advanced to harder levels. Mixed-effects modeling indicated substantial difficulty effects (H = 9.36, p = 0.009, ε² = 0.39). This pilot study establishes preliminary evidence for operability assessment in ASD serious games, requiring larger confirmatory validation studies (n ≥ 30) to establish broader generalizability and standardized instrument integration. The positive difficulty–operability association highlights the importance of adaptive game design in supporting skill progression. Full article

Background/Objectives: Chitosan-based films incorporating green-synthesized silver nanoparticles AgNPs) or copper oxide nanoparticles (CuONPs) were developed to compare their selective antimicrobial action for topical applications. While AgNPs are known for broad-spectrum activity, this study hypothesized that CuONPs would exhibit superior, targeted efficacy against the acne-associated bacterium Cutibacterium acnes. Methods: Nanoparticles were synthesized using Camellia sinensis extract and characterized. Antimicrobial activity was evaluated using Minimum Inhibitory Concentration (MIC) and Minimum Bactericidal Concentration (MBC) assays. Chitosan films containing AgNPs or CuONPs were further tested for selective antimicrobial activity and fibroblast cytocompatibility. Results: AgNPs showed strong activity against Escherichia coli and Staphylococcus aureus (MIC = 15 µg/mL) but were less effective against C. acnes (MIC = 125 µg/mL). In contrast, CuONPs demonstrated selective efficacy against C. acnes (MIC = 62 µg/mL; MBC = 125 µg/mL). When incorporated into chitosan films, AgNPs@CHI inhibited E. coli (35 mm halo) and S. aureus (30 mm), whereas CuONPs@CHI were selectively effective against C. acnes (45 mm). All films preserved fibroblast viability above the 70% ISO 10993-5 threshold. Conclusions: CuONPs@CHI films validated selective anti-C. acnes performance, highlighting their promise for targeted anti-acne therapies, while AgNPs@CHI films served as effective broad-spectrum antimicrobial barriers.revealed that AgNPs were potent against Escherichia coli and Staphylococcus aureus (MIC = 15 µg/mL) but less effective against C. acnes (MIC = 125 µg/mL). Conversely, CuONPs demonstrated a marked selective advantage against C. acnes (MIC = 62 µg/mL; MBC = 125 µg/mL). When incorporated into chitosan films, AgNPs@CHI films inhibited E. coli (35 mm halo) and S. aureus (30 mm), whereas CuONPs@CHI films were selectively effective only against C. acnes (45 mm), confirming the targeted performance. All films maintained fibroblast viability above the 70% ISO 10993-5 cytotoxicity threshold. These findings validate the selective action of CuONPs@CHI films, positioning them as a promising biomaterial for targeted anti-acne therapies, while AgNPs@CHI films serve as effective broad-spectrum antimicrobial barriers. Full article

Background/Objectives: Post-activation performance enhancement (PAPE) is an acute neuromuscular phenomenon influenced by training status, yet evidence regarding its response to isometric conditioning activity (ICA) across different athletic populations remains inconclusive. This study investigated the acute effects of ICA on countermovement jump (CMJ) performance in trained (T) versus highly trained (HT) male participants. Methods: A total of 32 participants (T: n = 16; HT: n = 16) completed two randomized sessions: a control condition (CTRL) and an isometric protocol (ICA; three sets of three maximal isometric back squat contractions, 3 s each). CMJ height was assessed at baseline and at 3-, 6- and 9-min post-intervention using a force platform. Repeated-measures ANOVA examined interactions between time, condition, and training status. Results: A significant improvement in jump height was observed only in the HT-ISO group at 3 min post-ICA (mean difference: +3.0 ± 2.3 cm; p < 0.005; d = 0.65). No significant changes were detected in the T group across conditions. Peak power and modified reactive strength index showed no significant differences, though effect trends favored the HT group. Conclusions: ICA elicits short-term PAPE effects in highly trained, but not moderately trained, individuals. These findings underscore the importance of tailoring warm-up protocols to the athlete’s training level for optimal performance enhancement. Full article

As extreme weather events become more frequent, the icing of transmission lines in winter has become more common, causing significant economic losses to power systems and drawing increasing attention. However, owing to the complexity of the conductor icing process, establishing high-precision ice thickness prediction models is vital for ensuring the safe and stable operation of power grids. Therefore, this paper proposes a hybrid model combining an improved snake optimization (ISO) algorithm, deep extreme learning machine (DELM), and hybrid kernel extreme learning machine (HKELM). Firstly, based on the analysis of the factors that influence the icing, the temperature, the humidity, the wind velocity, the wind direction, and the precipitation are selected as the weather parameters for the prediction model of the transmission line icing. Secondly, the HKELM is introduced into the regression layer of DELM to obtain the deep hybrid kernel extreme learning machine (DHKELM) model for ice thickness prediction. The SO algorithm is then augmented by incorporating the Latin hypercube sampling technique, t-distribution mutation strategy, and Cauchy mutation, enhancing its convergence. Finally, the ISO-DHKELM model is applied to the icing data of transmission lines in Sichuan Province for experiments. The simulation results indicate that this model not only performs well, but also enhances the accuracy of ice thickness predictions. Full article

This review provides a comprehensive overview of the recent green innovations in high-performance liquid chromatography (HPLC) for sustainable food analysis. It outlines the principles of green analytical chemistry and examines advances such as eco-friendly solvent systems, miniaturized and energy-efficient instrumentation, and greener sample preparation techniques. Key applications include the analysis of bioactive compounds, detection of contaminants and residues, and support for clean-label and sustainability claims. Furthermore, the review discusses relevant regulatory and certification frameworks, including ISO 14001, ISO 22000, and global food safety initiatives aligned with environmental, social, and governance standards. Persistent challenges, such as cost, limitations in analytical performance, and limited instrument availability, are highlighted, along with the need for reliable metrics to assess the environmental impact and effectiveness of green analytical practices. The review concludes by emphasizing the need for interdisciplinary collaboration among scientists, industry stakeholders, and regulatory bodies to support the wider adoption of sustainable HPLC practices in food laboratories. Full article

We present optical photometry for the afterglow of GRB 201015A, which can be classified as a medium-luminosity gamma-ray burst ($L_{\gamma ,\mathrm{iso}}\approx 2.55\times {10}^{49}\mathrm{erg}{\mathrm{s}}^{-1}$ ) and the associated underlying supernova SN 201015A. A millisecond magnetar engine has been widely suggested to exist in gamma-ray burst (GRB) phenomena. In this paper, we study the effects of the magnetar engine on GRB 201015A/SN 201015A by light curve analysis. We use a smooth broken power-law plus magnetar spin-down model to fit the X-ray and optical light curves of GRB 201015A/SN 201015A. The best-fitting results reveal that the magnetar initial spin period and surface magnetic field at the pole are constrained to be $P_0=16.{80}_{-0.47}^{+0.24}\mathrm{ms}$ and $B_{\mathrm{p}}=0.{80}_{-0.32}^{+0.34}\times {10}^{15}\mathrm{G}$, respectively, and the SN ejected a total mass of $M_{\mathrm{ej}}=2.{55}_{-0.37}^{+1.12}{M}_{\odot }$ and an ejecta velocity of $v_{\mathrm{ej}}$ = ${\mathrm{30,000}}_{-2500}^{+4800}\mathrm{km}{\mathrm{s}}^{-1}$, inferring a kinetic energy of $E_{\mathrm{SN},\mathrm{K}}\approx 1.37\times {10}^{52}\mathrm{erg}$. From our analysis, we find that the central engine of GRB 201015A/SN 201015A may well be a magnetar, and the emission from a magnetar central engine can be solely responsible for powering SN 201015A. Full article

Food safety management has evolved with the Hazard Analysis and Critical Control Point (HACCP) system serving as a global benchmark. However, conventional HACCP does not explicitly address environmental sustainability, leading to challenges such as excessive water use, chemical discharge, and energy inefficiency. Green HACCP extends traditional HACCP by integrating Environmental Respect Practices (ERPs) to fill this critical gap between food safety and sustainability. This study is presented as a conceptual paper based on a structured literature review combined with illustrative industry applications. It analyzes the principles, implementation challenges, and economic viability of Green HACCP, contrasting it with conventional systems. Evidence from recent reports and industry examples shows measurable benefits: water consumption reductions of 20–25%, energy savings of 10–15%, and improved compliance readiness through digital monitoring technologies. It explores how digital technologies—IoT for real-time monitoring, AI for predictive optimization, and blockchain for traceability—enhance efficiency and sustainability. By aligning HACCP with sustainability goals and the United Nations Sustainable Development Goals (SDGs), this paper provides academic contributions including a clarified conceptual framework, quantified advantages, and policy recommendations to support the integration of Green HACCP into global food safety systems. Industry applications from dairy, seafood, and bakery sectors illustrate practical benefits, including waste reduction and improved compliance. This study concludes with policy recommendations to integrate Green HACCP into global food safety frameworks, supporting broader sustainability goals. Overall, Green HACCP demonstrates a cost-effective, scalable, and environmentally responsible model for future food production. Full article

Dipeptide carnosine has gained attention for its antioxidant and anti-inflammatory effects demonstrated in preclinical studies, but evidence from human trials remains limited. This study investigated whether dietary carnosine delivered through enriched chicken meat can modulate redox status in competitive athletes. This randomized controlled trial involved 35 male competitive athletes who were assigned to either a control group (N = 16; CTRL) consuming regular chicken meat (410 mg/day) or a carnosine group (N = 19; CAR) receiving carnosine-enriched chicken meat (590 mg/day) for 21 days. Blood sample collection, cells isolation and anthropometric measurements were performed before and after the intervention to assess antioxidant enzyme activity, intracellular reactive oxygen species production, 8-iso Prostaglandin F2α (8-iso PGF 2α) concentration, and cell adhesion molecules serum concentrations. Results were expressed as mean ± standard deviation (SD). Group comparisons were conducted using parametric and non-parametric tests, ANCOVA was applied to assess post-intervention differences adjusted for baseline values, while a two-way ANOVA was performed to determine the significance of interactions between time and treatment for each parameter, significance set at p < 0.05. CAR group showed a significant reduction in serum 8-iso PGF 2α and increased SOD activity compared to baseline and the CTRL group. Intracellular hydrogen peroxide and peroxynitrite production increased, while superoxide anion production decreased in the CAR group. Carnosine-enriched chicken meat consumption significantly reduced lipid peroxidation, increased serum enzyme activity, and decreased superoxide anion production in competitive athletes. While further research is needed to elucidate the mechanisms and key factors behind it, the observed changes indicate that carnosine-enriched chicken meat consumption affects SOD activity consequently producing an antioxidative effect. Full article

Comprehensive healthcare seeks to uphold the right to health by providing patient-centred care in both personal and work environments. However, the unequal distribution of healthcare services significantly restricts access in remote or underserved areas—a challenge that is particularly critical in mental health care within low-income countries. On average, there is only one psychiatrist for every 200,000 people, which severely limits early diagnosis and continuous monitoring in patients’ daily environments. In response to these challenges, this research explores the feasibility of implementing an information system that integrates cloud computing with an intelligent Facial Expression Recognition (FER) module to enable psychologists to remotely and periodically monitor patients’ emotional states. This approach enhances comprehensive clinical assessments, supporting early detection, ongoing management, and personalised treatment in mental health care. This applied research follows a descriptive and developmental approach, aiming to design, implement, and evaluate an intelligent cloud-based solution that enables remote monitoring of patients’ emotional states through Facial Expression Recognition (FER). The methodology integrates principles of user-centred design, software engineering best practices, and machine learning model development, ensuring a robust and scalable solution aligned with clinical and technological requirements. The development process followed the Software Development Life Cycle (SDLC) and included functional, performance, and integration testing. To assess overall system quality, we defined an evaluation framework based on ISO/IEC 25010 quality characteristics: functional suitability, performance efficiency, usability, and security. The intelligent FER model achieved strong validation results, with a loss of 0.1378 and an accuracy of 96%, as confirmed by the confusion matrix and associated performance metrics. Full article

Background: Cardiac glycosides such as digoxin have been commonly used for patients with heart failure; however, their toxicity remains a main concern. 17βH-neriifolin (SNA209), a cardiac glycoside compound, has been recently isolated from Ceberra odollum Gaertn and was shown to improve the heart’s pumping ability in failing hearts ex vivo. Thus, this study aimed to investigate the potential use of SNA209 as a treatment for isoprenaline (ISO)-induced heart failure in rats. Methods: Forty male Wistar rats were randomly divided into five groups. Heart failure was induced by isoprenaline (ISO, 10 mg/kg/s.c) for 14 days daily, followed by SNA209 treatment (5 mg/kg; p.o) for another 14 days daily. Control rats were given saline as a vehicle for ISO and DMSO as a vehicle for SNA209. Results: Systolic and diastolic blood pressure (SBP and DBP) in all ISO-treated groups were significantly increased compared to the control group (p < 0.05), and SNA209 treatment managed to reduce the SBP and DBP. Additionally, SNA209 treatment significantly increased the heart rate and normalized the ECG parameters in ISO-treated rats. Pro-B-type natriuretic peptide and troponin T level, a cardiac injury markers, was remarkably reduced by SNA209 in the ISO-treated group. Cardiac hypertrophy was evident in increased cardiomyocyte size in ISO groups; however, SNA reduced the cardiomyocyte size. The left ventricular developed pressure (LVDP) in ISO treated with SNA209 was significantly raised, indicating a chronotropic effect. Cardiac Na⁺/K⁺-ATPase expression of the α1 subunit, sarcoplasmic/endoplasmic reticulum Ca²⁺ ATPase 2a (SERCA2a), and sodium–calcium exchanger subunit were significantly increased in the SNA treatment groups. Conclusions: The SNA 209 treatment improved cardiac function and structure, likely via modulating intracellular calcium management, so underscoring its potential as an adjuvant therapy for heart failure. Full article

Odorous emissions from hot-mix asphalt (HMA) plants are a growing environmental concern, particularly due to airborne aldehydes and ketones, which have low odor thresholds and a strong sensory impact. This study presents a field-ready analytical method for monitoring odor-active volatile compounds. The system uses dynamic solid-phase microextraction (SPME and SPME Arrow) with on-fiber derivatization via O-(2,3,4,5,6-pentafluorobenzyl)hydroxylamine (PFBHA) and is coupled to gas chromatography–mass spectrometry (GC–MS) for direct detection. A flow-cell sampling unit enables the real-time capture of aliphatic aldehydes and ketones under transient emission conditions. Calibration using permeation tubes demonstrated sensitivity (limits of detection (LODs) below 0.13 μg/m³), recovery above 85% and consistent reproducibility. Compound identity was confirmed using retention indices and fragmentation patterns. Uncertainty assessment followed ISO GUM (Guide to the Expression of Uncertainty in Measurement) standards, thereby validating the method’s environmental applicability. Field deployment 200 m from an HMA facility identified measurable concentrations that aligned with CALPUFF model predictions. The method’s dual-isomer resolution and 10 min runtime make it ideal for responding to time-sensitive odor complaints. Overall, this approach supports regulatory efforts by enabling high-throughput on-site chemical monitoring and improving source attribution in cases of odor nuisance. Full article

The market for digital assets, and more specifically cryptocurrencies, is growing, although their adoption in small island countries remains absent. This paper explores the potential benefits of integrating cryptocurrencies into portfolios alongside stocks, with a focus on Fiji’s stock market. This is the first study on a small market like Fiji, which emphasizes the role of cryptocurrencies in portfolio management. We analyze the outcomes (returns and risks) of combining cryptocurrencies with stocks using 12 different techniques. We use monthly stock returns data of 18 companies listed on the South Pacific Stock Exchange from Aug-2019 to Jun-2025 (71 months) and nine cryptocurrencies from Sept-2019 to Jun-2025 (70 months). Our main analysis shows that only one cryptocurrency, albeit with a small exposure, consistently appears in the stock-cryptocurrency portfolios in the 12 methods. Using the return-to-risk ratio across methods as a guide, we find that the stocks-cryptocurrencies portfolio based on EQW, MinVar, MaxSharpe, MinSemVar, MaxDiv, MaxDeCorr, MaxRMD, and MaxASR offers better outcomes than the stock-only portfolios. Using high returns as a guide, we find that six out of 12 methods (EQW, MaxSharpe, MaxSort, MaxCEQ, MaxOmega, and MaxUDVol) support the stocks-cryptocurrencies portfolios. Portfolios satisfying both conditions (high return-risk ratio and high return) are supported by the EQW and MaxSharpe portfolios. The consistency of assets in both stock and stock−cryptocurrency portfolios is further confirmed by 24-month out-of-sample forecasts and Monte Carlo simulations, although the latter supports small exposures in two out of the nine cryptocurrencies. Based on the results, we conclude that a small exposure to certain cryptocurrencies can strengthen diversification and improve potential returns. Full article

Listeria monocytogenes (Lm) is a serious public health foodborne pathogen cause of listeriosis, usually in elderly, pregnant and immunocompromised people, linked to consumption of contaminated food, especially ready-to-eat (RTE) products. Different protocols can be used to detect Lm, and ISO11290-1:2017 is the reference method in Europe. Through molecular techniques such as whole genome sequencing (WGS) it is possible to discriminate between Lm strains, which are unequally distributed between clinical cases, food or food related environments, probably also due to enrichment step bias towards some Lm serogroup (IIa) compared to IVb. In the present work a set of Lm strains, detected in clinical cases and food, was investigated to define Lm strains growth ability after incubation in Half Fraser broth, and Genome Wide Association Studies (GWAS) applied to correlate the growth phenotype traits to presence of relevant genes. GWAS enabled the identification of a more relevant cassette of genes associated to a holin region of bacteriophage A118 and the determination of the distribution of relevant genes, highlighted from GWAS analysis within a population of Lm IVb and IIa. Full article

A strictly aerobic, straight-rod, motile Gram-negative bacterium, SDUM041083^T, was isolated from marine sediment in Xiaoshidao, Weihai, China, in the formation of yellowish-brown colonies. Its growing conditions are as follows: 20–40 °C, pH 5.5–9.5, and 0.5–11% (w/v) NaCl. Phylogenetic analysis of the 16S rRNA gene sequence showed that SDUM041083^T was related to members of the genus Microbulbifer. Strain SDUM041083^T showed the highest 16S rRNA gene sequence similarity (98.23%) with Microbulbifer okinawensis JCM 16147^T. The primary cellular fatty acids of SDUM041083^T were iso-C11:0 3-OH, iso-C11:0, and iso-C15:0. The respiratory quinone of SDUM041083^T was Q-8, and the polar lipids were phosphatidylglycerol, phosphatidylethanolamine, and one aminolipid. The genomic DNA G+C content of SDUM041083^T was 57.5 mol%. The phenotypic and genotypic characteristics of SDUM041083^T indicate that the strain should be classified as a new species representing the genus Microbulbifer, with the name Microbulbifer weihaiensis sp. nov. being proposed. The type strain was SDUM041083^T (=KCTC 8896^T = MCCC 1H01537^T). Comparative genomic analysis showed that the 32 Microbulbifer species shared 1446 core genes and differed mainly in terms of lipid metabolism, signal transduction and xenobiotic biodegradation and metabolism. Preliminary research showed that SDUM041083^T has the potential to degrade chitin. Biogeographic distribution analysis showed that the marine environments constitute the main habitat of the genus Microbulbifer. Full article

Marking techniques are employed to guarantee the identification and traceability of biomedical materials. This study investigated the impact of laser and mechanical marking processes on the tribological performance of ISO 5832-1 austenitic stainless steel (SS), specifically examining corrosion resistance, the coefficient of friction, and wear volume in ball-cratering wear tests. The laser marking was performed using a nanosecond Q-switched Nd:YAG laser. Cytotoxicity tests assessed the biocompatibility of the biomaterial. Non-marked surfaces were also evaluated for comparison. A phosphate-buffered saline solution (PBS) served as both the lubricant and corrosion medium. The surface finishing was analyzed using optical microscopy and scanning electron microscopy coupled with a field-emission gun (SEM-FEG), combined with an energy-dispersive X-ray spectrometer. The oxide film was examined through X-ray photoelectron spectroscopy (XPS). Wear tests lasted 10 min, with PBS drops applied every 10 s at 75 rpm; solid balls of AISI 316L stainless steel (SS) and polypropylene (PP), each 1 inch in diameter, were used as counter-bodies. Corrosion resistance was assessed using electrochemical methods. Results showed variations in roughness and microstructure due to laser marking. The tribological behaviour was influenced by the type of marking process, and the wear amount depended on the normal force and ball nature. None of the samples was considered cytotoxic, although laser-marked surfaces exhibited the lowest cellular viability among the tested surfaces and the lowest corrosion resistance. Full article