Search Results (950)

Advanced oxidation processes using titanium dioxide (TiO₂) have emerged as a promising approach for the photocatalytic degradation of contaminants in water and have drawn extensive research attention despite limited translation of this technology to large-scale applications. The limitations of this technology include immobilization of the photocatalyst, scalability, and compatibility with available light sources. Using 3D printing to immobilize TiO₂-based photocatalysts, we systematically evaluated the rates of photocatalytic degradation of methylene blue (MB) with different light-emitting diode (LED) ultraviolet (UV) light sources and modified TiO₂-based photocatalytic materials. The UV LED lights successfully decreased the MB concentrations with half-lives ranging from 0.9 to 2.4 h, with relative photocatalytic performance of UVA-365 > UVA-395 > UVC-280. The photocatalytic degradation rates under UV LEDs were slower (0.9–2.4 h) than those achieved using a low-pressure mercury UV-C lamp (0.5 h) and were also lower than those observed under solar simulated lights (0.6 h). The TiO₂ modified by an alkyl silane entity and embedded in a polylactic acid polymeric system with 3D printing exhibited the fastest methylene blue (MB) removal among the three TiO₂-based structures evaluated, with a half-life of 0.6 h compared to the 1.6–17.7 h for the other materials. This research demonstrated that 3D printing enables the integration of functionalized photocatalysts, and, when paired with low-cost, low-energy UV LED lights, can achieve environmentally relevant rates of performance. Ultimately, these findings represent an incremental step toward improving the performance of 3D-printed photocatalytic materials. Full article

Proper handling during harvesting and subsequent postharvest management is essential to reduce losses in fruits and vegetables, particularly because these products remain metabolically active after harvest. Physiological processes such as respiration, transpiration, ethylene production, softening, physiological disorders, and postharvest diseases determine quality deterioration, shelf life, and marketability. However, these processes do not affect all commodities in the same way; for example, climacteric fruits are strongly influenced by ethylene during ripening, whereas non-climacteric fruits generally show lower ethylene production and different postharvest behavior. In Mexico, postharvest management is especially relevant because fruit and vegetable producers differ widely in terms of production scale, infrastructure, access to technology, financing capacity, and market destination. Producers with limited access to technology require practical and low-cost alternatives, while more technologically advanced producers may use specialized systems but still experience postharvest losses due to physiological deterioration, handling conditions, logistics, and market constraints. Therefore, this review summarizes the main postharvest physiological processes affecting fruits and vegetables and discusses their implications for knowledge transfer, technology adoption, and sustainability among local producers in Mexico. The review highlights that reducing postharvest losses requires commodity-specific management, continuous technical support, low-cost and locally adaptable technologies, and coordinated participation among researchers, extension personnel, producers, government institutions, industry, and market actors. Strengthening postharvest knowledge transfer to small and local producers is essential to reduce losses, improve marketability, and promote more sustainable fruit and vegetable systems in Mexico. Full article

Respiratory syncytial virus (RSV) and rhinovirus (RV) are major causes of acute respiratory infections (ARIs) worldwide. The circulation of both RSV and RV was notably altered during the COVID-19 pandemic. This study analyzed the epidemiological and molecular characteristics of RSV and RV in Santander, Colombia, during the pandemic period (PP, 2020–2021) and the post-pandemic period (PPP, 2023–2024). A total of 921 respiratory samples from patients with ARIs were screened for RSV-A/B and RV. Sequences of the RSV attachment glycoprotein (G) gene and the RV VP4–VP2 region were analyzed in positive samples. Epidemiological and clinical characteristics of the study population were also assessed. RSV was not detected during PP, whereas RV was detected in 4.8% of samples. During PPP, RSV-A, RSV-B, and RV were detected in 5.6%, 4.4%, and 28.0% of samples, respectively. RSV infections were mainly identified in children, while RV was detected across all age groups. RSV-A sequences grouped within seven A.D-derived lineages (A.D.1.5, A.D.1.7, A.D.1.8, A.D.3.2, A.D.3.3, A.D.5.1, A.D.5.2), whereas RSV-B sequences clustered within the B.D.E.1 lineage. RV showed a higher number of detected genotypes during the PPP than during the PP. The genotypic characterization performed in this study provides new insight into the molecular epidemiology of RSV and RV in Santander, Colombia, during PP and PPP, and represents, to our knowledge, the first regional description of RSV lineages and RV genotypes across these periods. Full article

This work investigates heat transfer experimentally and numerically within a ventilated cavity, both with and without an internal heat source, simulating a room with a person at the interior at 1:3 scale. This setup has applications in building energy systems, cooling of electronic equipment, solar energy collectors, etc. The experimental configuration consists of a cube in which the left vertical wall is subjected to a uniform heat flux, and the opposing wall is maintained at a constant temperature. A rectangular parallelepiped heat source was placed inside. The remaining walls are thermally insulated, and air is the thermal fluid. Air enters and exits through square ports on the top surface. Experimental temperature profiles were recorded at multiple depths and heights. Corresponding numerical results for temperature fields, flow patterns, turbulent viscosity, and turbulent kinetic energy were generated using the Ansys Fluent 18 CFD software, with six turbulence models assessed against experimental data under steady-state conditions. A key finding is that the Nusselt number and the convective heat transfer coefficients (average) for the hot wall remain negligibly affected by the incorporation or status (on/off) of a heat source at the interior of the cavity, the biggest temperature difference (experimental vs numerical) corresponds to the rkε model with 6.2% when there is no thermal source in the cavity and the lowest difference for the average convective heat transfer coefficient is with the rslrso model with 5.2%. Full article

Research on sensitive human narratives is increasingly constrained by ethical and privacy regulations that limit access to primary data, creating a structural small-data challenge that limits deep computational analysis. To address this limitation, this study validates a Natural Language Processing protocol that scales 946 real breakup narratives from r/breakups to 6000 human-validated high-fidelity synthetic records across five BERTopic clusters. The architecture employs MPNet, UMAP, and HDBSCAN to map latent space and thematically cluster texts, extracts seed documents using the Kneedle algorithm, and orchestrates DeepSeek V3.2 with stochastic sampling and small batches (k = 5). Automated validation via Cosine Similarity with a P10 threshold attained a mean semantic similarity of 0.7204 (range 0.6413–0.7855) and a fidelity rate of 99.08%. Expert human review by two researchers of this investigation evaluated 1732 posts on topic adherence and emotional authenticity using Gwet’s AC2. Five of six clusters achieved AC2 ≥ 0.70 on both dimensions; Topic 3 showed marginal adherence (AC2 = 0.660) while maintaining acceptable authenticity (AC2 = 0.817), and the 1200 synthetic posts for Topic 5 failed human validation (AC2 < 0.50) due to documented LLM safety-filter limitations and are excluded from the final corpus. These results demonstrate that the proposed protocol enables the research community to generate validated, privacy-preserving synthetic data ecosystems while establishing empirical boundary conditions for sensitive topic analysis. Full article

This study presents a novel biosensor for non-invasive glucose detection in saliva using sol colloids of erbium phthalocyanine (ErPc) and polyvinyl acetate (PVAc). The sensors were manufactured by depositing thin films on glass substrates and characterized via optical transmission spectroscopy in the UV-Vis range. The detection signal was based on variations in the transmission spectra amplitude after glucose intake. Results showed that the transmission response effectively distinguished between three health conditions: a regular individual, an athlete, and a prediabetic patient. Specifically, the relative transmission increased significantly in the prediabetic subject compared to the healthy individuals, demonstrating the biosensor’s capability to track glucose fluctuations non-invasively. Full article

Background: Safer analgesic strategies are needed to reduce the adverse effects associated with prolonged use of nonsteroidal anti-inflammatory drugs. The dry juice extract of Agave tequilana (ESPA), a chemically complex matrix with anti-inflammatory potential, may represent a promising adjuvant for modulating inflammatory pain. Objective: This study evaluated the antinociceptive activity of ESPA and its pharmacological interaction with diclofenac in the formalin test. Methods: BALB/c mice received ESPA or diclofenac orally 30 min before pain induction, and nociceptive behavior was quantified by counting paw flinches during the neurogenic and inflammatory phases. The GC–MS-detectable fraction of ESPA was chemically characterized, while the pharmacokinetic and bioactivity profiles of selected compounds were explored in silico using SwissADME and PASSonline. Molecular docking with COX-1 and COX-2 was performed using AutoDock Vina. Acute toxicity was evaluated according to OECD Guideline 423, and the ESPA–diclofenac interaction was examined using isobolographic analysis. Results: ESPA produced significant antinociceptive effects during the inflammatory phase. Although diclofenac exhibited greater potency, ESPA showed consistent efficacy in reducing inflammatory nociceptive behavior. GC–MS analysis identified several compounds within the detectable volatile/lipophilic fraction, including n-hexadecanoic, octadecanoic, and oleic acids. In silico evaluations suggested favorable predicted oral absorption and potential bioactivities related to inflammatory mediator regulation. Docking studies showed moderate predicted affinities for COX-1 and COX-2, lower than those observed for diclofenac. Isobolographic analysis demonstrated a synergistic interaction between ESPA and diclofenac, allowing dose reduction while maintaining antinociceptive efficacy. Acute toxicity testing indicated no signs of toxicity at the evaluated dose. Conclusions: These findings suggest that ESPA may act as a potential adjuvant in diclofenac-based analgesic strategies for inflammatory pain; however, further studies are required to clarify the active constituents and underlying mechanisms. Full article

Background: The regulation of inorganic phosphate (Pi) homeostasis is predominantly mediated by the Pi transporters belonging to the SLC34 and SLC20 families of solute carriers. However, not all Pi handling can be explained by these transporters. In this study, we sought to identify novel Pi transporters in accordance with prior findings on inhibition patterns. Methods: We have performed a functional screening of new Pi carriers using the Xenopus laevis oocyte expression system, focusing on the SLC26 family, and corroboration in cell culture. Results: Both SLC26A7 and SLC26A9 have been shown to express sodium-activated Pi uptakes with approximately 200 µmol/L Pi affinity. In both cases, Pi transport is inhibited by increasing pH and by phosphonoformate, arsenate, bicarbonate, sulfate, the chloride channel inhibitor 5-nitro-2-[(3-phenylpropyl)amino]-benzoate, and several transport site and translocation inhibitors of bicarbonate exchangers. In addition, the CFTR inhibitor GlyH-101 and the SLC4 inhibitors DIDS, SITS, and phloretin exhibited partial inhibition of SLC26A9-mediated Pi uptake. The endogenous expressions of both SLC26A7 and SLC26A9 in the renal cell lines LLC-PK1 and MDCK were primarily intracellular, colocalizing with endosomes, lysosomes, and the trans-Golgi network markers. Conversely, plasma membrane expression was found to be minimal. Pi transport in MDCK cells was sodium-independent, but when either SLC26A7 or SLC26A9 was overexpressed, sodium-activated Pi uptake was observed, along with increased expressions of SLC26A7 or SLC26A9 in the plasma membrane. Conclusions: Sodium-activated Pi transport is a novel function of the SLC26A7 and SLC26A9 multifunctional anion transporters. Further research is necessary to ascertain the relevance to Pi homeostasis in vivo. Full article

Background/Objectives: Carprofen (CP) is a potent non-steroidal anti-inflammatory drug whose clinical use is limited by systemic adverse effects associated with oral administration. The aim of this study was to develop and evaluate a CP-loaded nanoemulsion (CP-NE) as a topical formulation for the management of post-surgical inflammation in veterinary applications. Methods: CP-NE was physicochemically characterized in terms of droplet size, polydispersity index, morphology, pH, rheological behavior, spreadability, and stability. Biopharmaceutical performance was assessed through in vitro drug release and ex vivo permeation studies using porcine ear skin. Safety was evaluated using in vitro cytotoxicity assays in HaCaT keratinocytes, histological analysis of ex vivo porcine skin, and assessment of biomechanical skin parameters in mice. Finally, anti-inflammatory efficacy was investigated in a murine model. Results: CP-NE showed a mean droplet size of approximately 140 nm, low polydispersity, spherical morphology, and Newtonian flow behavior with good spreadability. Stability studies confirmed the absence of significant physical destabilization and acceptable chemical stability under refrigerated and room temperature conditions. Release studies demonstrated sustained drug release, while permeation assays revealed low systemic exposure and high drug retention within the skin. Safety evaluations indicated good biocompatibility with no cytotoxicity, no histological alterations in skin tissue, and no alteration of the skin’s biomechanical properties in volunteers. In vivo efficacy studies showed that CP-NE significantly reduced post-surgical inflammation, promoting faster restoration of skin architecture and improved wound appearance. Conclusions: These findings suggest that CP-NE represents a promising topical delivery system for localized anti-inflammatory therapy following surgical procedures, offering significant potential for veterinary applications. Full article

This paper presents a model-based control strategy for a power factor correction system that employs a high conversion-ratio DC–DC converter. The proposed system consists of two stages. In the first stage, a full-bridge diode rectifier is connected to the grid through a passive filter to improve the quality of the injected current. Two passive AC input filters, namely L and $LCL$ configurations, are evaluated to analyze their impact on grid current quality and overall system performance. The second stage is a high-step-up DC–DC converter based on the switched-inductor technique, which provides a high voltage conversion ratio. A model-based approach is employed to derive the control design from the averaged system model. The resulting control structure consists of a current tracking loop and a voltage regulation loop. A proportional-resonant controller is used to ensure current tracking and achieve a near-unity power factor, while a proportional-integral controller regulates the output voltage. Experimental validation is carried out using a low-power laboratory-scale prototype to assess the effectiveness of the proposed approach. The results demonstrate adequate current tracking and satisfactory dynamic performance within the tested operating conditions. Full article

Background: Chronic low back pain (CLBP) is a leading cause of disability worldwide, with exercise endorsed as first-line treatment and non-steroidal anti-inflammatory drugs (NSAIDs) among the most used pharmacologic options. These interventions are frequently combined in clinical practice, yet their synergistic effects remain unclear. To evaluate whether NSAID use modifies the association between physical activity (PA) and CLBP using nationally representative data from NHANES 2009–2010. Methods: We analyzed 988 adults aged ≥20 years with complete data on chronic low back pain, physical activity, medication use, and modeled covariates. Results: Among participants not using NSAIDs, moderate recreational physical activity was associated with lower odds of CLBP (adjusted OR = 0.47, 95% CI 0.25–0.91; p = 0.029). Active transport showed a similar direction but was not statistically significant (OR = 0.38, 95% CI 0.13–1.12; p = 0.074). In interaction models, active transport x aspirin was associated with higher odds of CLBP (OR = 2.24, 95% CI 1.02–4.90; p = 0.044), and moderate recreational PA x any NSAID use was also associated with higher odds of CLBP (OR = 2.26, 95% CI 1.01–5.06; p = 0.047). Subgroup analyses were exploratory and heterogeneous, including a significant potential protective interaction (OR ≈ 0.19, 95% CI 0.06–0.69; p = 0.015). Conclusions: In a nationally representative sample, NSAID use appeared to modify the association between physical activity and chronic low back pain. These findings are exploratory and hypothesis-generating. Therefore, longitudinal studies are needed to clarify the temporal and causal relationships and the potential influence of NSAIDs. Full article

Blended emotion recognition introduces the challenge of identifying not only which emotions are present in an expressive display but also their relative salience. The proposed methodology builds upon the pre-extracted features provided with the dataset and enhances performance through a combination of temporal modeling and multimodal fusion strategies. Unimodal experiments revealed that visual encoders consistently outperformed audio ones, with the multimodal HiCMAE encoder achieving the strongest single-encoder results with 34% presence accuracy and 18.23% salience accuracy. Multimodal fusion further improved performance, with the best validation results obtained using a combination of simple concatenation and attention-based fusion, reaching 47.86% in presence accuracy and 27.92% in salience accuracy. Overall, the proposed methodology surpasses the chosen baseline introduced in the original paper across a k-fold experiment, confirming the effectiveness of multimodal attention-based fusion for the accurate prediction of both emotion presence and salience in blended affective behaviour. The experimental results further indicate that multimodal expression recognition consistently outperforms unimodal approaches, highlighting the complementary nature of cross-modal information. Full article

Background: Reaction time (RT) is a fundamental measure of information processing speed in cognitive neuroscience and is influenced by both structural and functional brain properties. While prior studies have independently linked white matter microstructure and EEG alpha oscillations to cognitive performance, their joint contribution to distinct aspects of RT remains unclear. This study aims to investigate whether multimodal data can dissociate neural systems underlying cognitive and motor components of processing speed. Methods: We analyzed diffusion tensor imaging, resting-state individual EEG alpha peak frequency (IAF), demographic variables, and behavioral RT measures from a GO/NO-GO paradigm in 24 healthy adults from the Cuban Human Brain Mapping Project. Behavioral metrics included the mean, standard deviation and skewness of reaction times for simple and complex tasks. Sparse multiple canonical correlation analysis was applied to identify multivariate associations across modalities. Results: Two significant latent dimensions were identified. The first dimension linked bilateral fronto-temporal association tracts (SLF, IFOF, UNC) with complex RT performance, reflecting higher-order cognitive processing. The second dimension associated motor and interhemispheric tracts (CGC, CST, ILF, forceps major and minor) with intra-individual asymmetric variability (skewness) across tasks, indicating a motor-execution consistency system. IAF did not significantly contribute to either dimension. Sex showed strong associations with both components. Conclusions: Distinct white matter networks were associated with separable cognitive and motor aspects of processing speed, while resting-state alpha frequency did not show stable contributions with behavioral variability in this sample. IAF showed minimal contribution within the identified sparse multivariate dimensions. These findings highlight the importance of multimodal and multivariate approaches for understanding and potentially disentangling complex brain–behavior relationships. Full article

The growing energy demand in rural areas such as the ejido Boca del Cerro, located in Tenosique, Tabasco (Mexico), near the Usumacinta River, calls for sustainable energy solutions such as microgrids. This study proposes an energy management system combining renewable energy forecasting and fuzzy control for a simulated small autonomous rural microgrid scenario designed to supply a fixed priority load of 5 kW and a variable flexible load ranging from 1 to 10 kW. Three LSTM architectures (vanilla, stacked, and bidirectional) are compared for predicting solar irradiance, wind speed, and river flow. The vanilla model is optimized using Hyperband to improve prediction accuracy, particularly for flow rate, which is rarely addressed in similar studies. Forecasts feed into models of photovoltaic, wind, and hydro systems within the microgrid. Energy dispatch is managed through fuzzy logic control. The fuzzy controller supports load prioritization, battery charge/discharge management, and surplus energy redirection to an absorbing load. The final vanilla LSTM achieved RMSE values of 25.741, 0.302, and 12.644 for solar irradiance, wind speed, and river flow, respectively, with NSE values above 0.949 in all cases. These results indicate high forecasting accuracy for solar irradiance and river flow, with limited improvement for wind speed. Overall, the proposed EMS enables effective energy flow management, while the integration of hydrokinetic turbines with AI-based forecasting represents a novel contribution. Full article

Background/Objectives: Magnetic resonance imaging (MRI) provides a non-invasive means for a comprehensive assessment of the effect of radiation therapy (RT) on heart function. This study aims to determine RT induced cardiotoxicity in thoracic cancer patients using cardiac MRI. Methods: Cardiac MRI was performed at baseline and at six months post-treatment in patients undergoing standard-of-care RT for lung or esophageal cancers at a single institution. Parameters included regional myocardial strain in the longitudinal, circumferential, and radial directions as well as myocardium T1, T2, and extracellular-volume (ECV) maps. Cardiac segmental doses were extracted from the RT planning scans. The relationship between changes in segmental MRI parameters at six months and segmental heart RT dose were investigated. Results: Twelve patients underwent baseline MRI and four completed the follow-up MRI. Five of the segmental strain parameters showed notable changes between baseline and six-month follow-up. Increased doses in the heart base and apex were associated with moderate-to-large and mild deteriorations, respectively, in strain for all regions. Increased doses in the mid-ventricular regions were associated with improved strain in all regions. The segmental analysis revealed that myocardial regions nurtured by the left coronary artery are more negatively affected by radiation compared to those nurtured by the right coronary artery. Conclusions: Alterations in regional tissue and strain parameters on MRI vary according to local myocardial RT dose, suggesting there may be heterogeneity of radiation sensitivity for the heart substructures and regions. Changes in segmental strain parameters may reflect post-RT cardiac remodeling, but larger confirmatory studies are required. Full article