Search Results (59,377)

Aerosol dry deposition is an important sink for particulate matter and a source of uncertainty in air quality modeling. Using the Weather Research and Forecasting model coupled with CUACE (WRF-CUACE), we quantified how three aerosol dry deposition schemes and satellite-based leaf area index (LAI) information affected PM_2.5 dry removal and near-surface PM_2.5 over central and eastern China in January 2022. The schemes were abbreviated as Z01, E20, and PZ10, respectively. A fourth simulation (PZ10_MLAI) used PZ10 but replaced the baseline LAI dataset with a Moderate Resolution Imaging Spectroradiometer (MODIS) constrained LAI field. Hourly PM_2.5 was evaluated with the China National Environmental Monitoring Center network. The schemes produced pronounced, size-dependent differences in deposition velocities, with a pronounced spread in the 0 to 2.5 µm average and more than one order of magnitude spread in the accumulation mode diagnostic, leading to distinct regional mean PM_2.5 dry deposition fluxes. The mean PM_2.5 flux increased by 5.9% in E20 relative to Z01 and decreased by 54.4% in PZ10. The MODIS LAI adjustment changed the PZ10 mean flux by 0.42%. The flux contrasts yielded coherent PM_2.5 responses, with E20 reducing near-surface concentrations by about 10 to 30% and PZ10 increasing them by about 20 to 60%, reaching about 80 to 100% in parts of southern China. Domain mean correlations ranged from 0.61 to 0.65 and PZ10-based simulations exhibited near-zero mean bias. Although MODIS LAI effects were modest for this winter month, local PM_2.5 differences commonly remained within about 4% and approached 6 to 10%, indicating that satellite LAI constraints can be important for multi-year and decadal applications. Full article

Background/Objectives: Coronary artery disease (CAD) remains one of the leading cardiovascular diseases worldwide. While obstructive CAD is well characterized and managed, identification of patients with non-obstructive CAD (NOCAD) remains challenging. Unlike the coronary vasculature, the eye’s microcirculation can be easily and non-invasively assessed. Therefore, this systematic review summarized the ophthalmological diagnostic methods used to assess microvascular alterations associated with coronary microvascular dysfunction (CMD), angina with non-obstructive coronary arteries (ANOCA), or ischemia with non-obstructive coronary arteries (INOCA). Methods: According to PRISMA guidelines, PubMed/MEDLINE and Embase databases were screened by two independent reviewers from inception to 25 November 2025. Original articles that examined ophthalmological microvascular changes by any method in adults with CMD or its subtypes were included. The quality of the studies was assessed using the JBI Critical Appraisal Checklist. Results: Of 101 identified articles, nine studies met the inclusion criteria, comprising 1894 patients. Optical coherence tomography angiography was the most frequently used imaging modality, followed by optical coherence tomography, slit-lamp smartphone imaging, and fundus photography. Five investigations employed blinded image analysis, three did not, and one study used it partially. Four studies used semi-automated measurements, four employed fully automated methods, and one study applied manual and automated measurements for different parameters. Conclusions: Despite a limited number of studies, retinal and conjunctival microvascular alterations helped differentiate CAD subtypes and may reflect systemic microcirculatory impairment among patients with ANOCA/INOCA. Ophthalmological imaging techniques have the potential to serve as non-invasive tools for detecting microvascular alterations associated with CMD in ANOCA and INOCA patients. PROSPERO Registration Number: CRD420251239875 Full article

Tagetes patula is a widely cultivated ornamental plant and a natural source of bioactive compounds. This study evaluated the effects of cultivation–substrate systems on growth, flowering, lutein and zeaxanthin accumulation, substrate microbiological properties, and pest and disease occurrence in three T. patula cultivars (‘Csemő’, ‘Robusta kénsárga’, and ‘Orion’) grown under two greenhouse (peat-based substrate and hydroponics) and three field conditions (peat-based and two peat-free substrates). Greenhouse hydroponics markedly enhanced vegetative growth, resulting in the highest plant height, stem diameter, and shoot biomass, whereas peat-based greenhouse substrates produced the lowest vegetative performance. Flowering responses were more moderate and largely cultivar-dependent: peat-based field conditions supported the highest inflorescence numbers, cv. ‘Orion’ produced the greatest inflorescence biomass, and cv. ‘Robuszta kénsárga’ showed the strongest flowering intensity in peat-based systems. Cultivar ‘Csemő’ consistently accumulated the highest lutein and zeaxanthin concentrations among cultivars. Substrate moisture and microbial activity differed substantially among systems, with peat-free substrates frequently exhibiting elevated enzymatic activity. No fungal diseases were detected; thrips occurred only in greenhouse systems, and spider mites were restricted to cv. ‘Orion’ under hydroponic conditions. Overall, hydroponic and peat-free systems enhanced vegetative growth and microbial activity, whereas flowering and carotenoid accumulation were primarily cultivar-specific, as further supported by correlation analysis and PCA. These findings demonstrate that sustainable peat alternatives and hydroponic systems can effectively support high-quality T. patula production and carotenoid yield. Full article

Background: Efficient tissue preservation methods are critical for accurate and quantitative microscopical examination in histopathology. Quantitative image analysis and cell counts are essential to translational research with direct implications for therapeutic decision-making. This study aims to compare the histomorphological quality of formalin-fixed paraffin-embedded (FFPE) and fresh frozen sections (FFS) in terms of tissue recognizability, physical integrity, as well as cell counts of lymphocytes, granulocytes, giant cells, and blood vessels Methods: A total of 142 skin biopsies were analyzed, with 88 FFPE and 54 with FFS. The biopsies were stained with HE and ASD. The sections were evaluated for recognizability and physical appearance, and categorized as either clearly recognizable or indistinctly recognizable, and fully intact, folded, or torn. Suited high-power fields were identified to compare the number of different cell types between the two preservation techniques. Results: FFPE showed significantly higher morphological quality than FFS in maintaining both recognizability (88.64% vs. 44.44%, p < 0.001) and physical integrity, with more sections remaining fully intact (77.27% vs. 22.22%, p < 0.001). Additionally, paraffin sections showed higher counts of lymphocytes and blood vessels (both p < 0.001) with significant statistical differences. Conclusion: The findings suggest that FFPE provides superior tissue preservation compared to FFS, particularly in maintaining structural integrity and cellular detail. This study underlines the importance of choosing appropriate embedding techniques to optimize histological evaluations, especially in clinical settings where quantitative analyses are crucial. Full article

The production of high-performance glass fibers relies critically on achieving a homogeneous melt with a specific thermal history, which is directly determined by the precise control and optimization of the melting equipment. To enhance the melting efficiency and material quality, this study investigates the optimization of the electric assistance system in a 200 t/d oxygen-enriched glass fiber melting furnace. By integrating CFD (Computational Fluid Dynamics) simulation techniques, a furnace model encompassing both the combustion zone and molten glass phase is developed. The study focuses on the impact of an oxy-fuel combustion + electric assistance system on the glass melting process. The influence of different input voltages on the furnace is analyzed through temperature, velocity, and flow fields. Glass melting efficiency and quality are evaluated using residence time, melting factor, and homogenization factor, considering both the residence time of molten glass and quality factors. The results indicate that a voltage scheme with the highest input voltage at the furnace inlet, combined with a relatively high voltage at the furnace outlet, is optimal, leading to the superior glass melting quality and the longest furnace service lifespan. Full article

The annual output of Moutan Cortex is significant, but the epidermis of the root bark of peony (EPRP), as a by-product of Moutan Cortex, is typically discarded. To achieve full use of resources, this study aimed to develop an HPLC fingerprint analysis method using HPLC-DAD-ESI-MS/MS on EPRP sourced from different regions to establish EPRP quality control standards. For chromatography, a ShimPack Scepter C₁₈ column (4.6 mm × 250 mm, 5 μm) was used. The mobile phase for HPLC consisted of acetonitrile (A) and a 0.1% aqueous formic acid solution (B). An HPLC fingerprint was established, featuring 30 characteristic peaks with a similarity of over 0.80. A total of 31 components were identified, with 22 chemical markers determined, including 1-galloylglucose, gallic acid, methyl gallate, oxypaeoniflora, paeonolide, apiopaeonoside, albiflorin, paeoniflorin, p-coumaric acid, ferulic acid, 1,2,3,6-tetragalloylglucose, ellagic acid, galloylpaeoniflorin, luteoloside, 1,2,3,4,6-O-penta-galloylglucose, diosmin, neodiosmin, resveratrol, mudanpioside C, benzoyloxypaeoniflorin, benzoylpaeoniflorin, and paeonol. These markers align with component structure theory, allowing for the analysis of the structural characteristics of EPRP from different regions. These findings provide a valuable reference for the future quality evaluation of EPRP, enhance the understanding of the components in EPRP from diverse sources, and lay a foundation for the development and greater utilization of EPRP. Full article

In order to elucidate the trait structure of yield formation and optimize the selection strategy for breeding high-yield spring rapeseed, this study systematically evaluated the genetic variation, interrelationship, and contribution to yield of 10 key agronomic traits. A comprehensive assessment of 26 varieties across five test environments was conducted using the coefficient of variation, phenotypic correlation, path analysis, principal component analysis, and grey relational analysis. The results showed that the variations in plant height, branch position, and the number of primary effective branches were the most abundant (CV > 0.20), indicating high genetic improvement potential. Among the yield components, a significant positive correlation was observed between the number of effective pods per plant and the number of seeds per pod. The direct positive effect of pod length on yield per plant was the strongest (path coefficient = 0.467), indicating that yield formation was more dependent on pod structure and grain filling ability. Principal component analysis showed that PC1 had a contribution rate of 94.2%, driven mainly by the effective pod number of the whole plant. This could be used as a comprehensive index to distinguish between different ecological groups and evaluate the overall growth potential. Grey correlation analysis further clarified that the effective length of the main inflorescence was most closely related to yield per plant (correlation degree = 0.847). In summary, this study proposes a high-yield breeding strategy of ‘quality first, collaborative improvement’, whereby pod length, 1000-grain weight, and effective length of the main inflorescence are used as core selection traits. This novel study involves coordinating and optimizing the number of effective branches and inflorescence structure, as well as screening stable genotypes through multi-environment identification, in order to achieve the efficient integration of yield components. Full article

Wet flue gas desulfurization (WFGD) is a widely used process for controlling SO₂ emissions in coal-fired power plants. However, the slow dissolution kinetics of limestone (CaCO₃) and the poor dewatering properties of gypsum crystals significantly limit the performance of this process. In this study, the effects of adding adipic acid, an organic acid, at different concentrations (0, 500, 1000, and 1500 ppm) to limestone slurry in the WFGD process were investigated. SO₂ removal performance, limestone consumption, and gypsum quality were evaluated. SO₂ removal efficiency remained unaffected by the addition of adipic acid. The addition of adipic acid reduced limestone consumption by 6.89%, 8.35%, and 9.92% in WFGD, respectively. The moisture content of gypsum decreased from 22.4% to 9.2%. The results revealed that adipic acid accelerates limestone dissolution via a ligand-assisted proton-transfer mechanism and improves the overall efficiency of the WFGD process by controlling gypsum crystallization. The physical quality and structure of gypsum obtained from the WFGD were evaluated by Scanning Electron Microscopy (SEM). Adipic acid led to the development of larger, smoother, and potato-like morphologies in the gypsum crystals and improved dewatering performance. This study demonstrates that using adipic acid in WFGD processes is a significant improvement strategy that enhances process efficiency by accelerating limestone dissolution and controlling gypsum crystallization. Adipic acid addition is an effective optimization strategy for full-scale industrial WFGD systems. Full article

Lonicerae japonicae flos (LJF) is a natural product with medicinal, edible, and ornamental value which has been developed into LJF tea. At present, LJF tea can be processed using four main fixation methods: fixation by sun drying (SG), hot-air oven drying (HG), stir-frying drying (CZ), and steaming (ZZ). However, a comparative analysis of the effects of different fixation methods on the quality of LJF tea has not been reported. This study comprehensively investigated the effects of these fixation methods on the appearance color, volatile components, and non-volatile components of LJF tea samples. Our findings demonstrated that LJF tea in the SG group had the highest L value, causing a brighter appearance, which was mainly caused by the retention of organic acids and flavonoids. Additionally, LJF tea in the SG group had a higher content of aroma components than other groups. These results suggested that sun drying may be beneficial for improving the quality of LJF tea. This study provided a reference for the selection of fixation methods for LJF tea and offered a clue for quality improvement of LJF tea. Full article

Background: Brace adherence is a key determinant of treatment success in adolescents with idiopathic scoliosis. However, adherence is influenced by multiple clinical, psychological, and social factors, and reported wear times vary widely across studies. This systematic review and meta-analysis aimed to identify determinants of brace adherence and assess their quantitative impact on real wear. Methods: A comprehensive search was conducted in PubMed/MEDLINE, Scopus, Web of Science, Embase, and Google Scholar from database inception to November 2025. A total of 1040 records were identified, 620 were screened, and 45 full-text articles were assessed for eligibility. In total, 17 studies met the inclusion criteria and were included in the qualitative synthesis, and 10 provided extractable quantitative data and were included in the meta-analysis. A random-effects model was used to calculate pooled mean differences for identified determinants, including sex, age, early adherence, and sensor-based monitoring. Results: In total, 17 studies involving 1716 adolescents were included, and 10 provided extractable quantitative data for meta-analysis. Objective sensor-based monitoring was consistently associated with higher adherence, with a pooled mean difference of 25.6 percent compared with non-sensor methods. Early adherence significantly predicted long-term compliance, with a mean difference of 9.6 percent. Younger adolescents demonstrated greater adherence than older patients, with a mean difference of 19.1 percent, while sex differences favored females but did not reach statistical significance. Psychosocial determinants such as body image perception, stress, family dynamics, and religious environment played an important role in modulating adherence. Higher body mass index (BMI) and reduced quality of life were associated with poorer compliance. Overall, studies evaluating positive determinants reported a pooled mean adherence of 89.6 percent compared with 67.7 percent in studies characterized by negative determinants. Conclusions: Brace adherence is determined by a combination of clinical and psychosocial factors. Sensor-based monitoring, strong early adherence, and supportive environments consistently enhance compliance, whereas stress, poor body image, and higher BMI hinder wear. Targeted interventions, early counseling, and standardized adherence metrics are needed to improve outcomes in brace-treated scoliosis. Full article

This study evaluated the feasibility of using effluent from the anodic chamber of a microbial fuel cell (MFC), powered by real fruit and vegetable wastewater, as a cultivation medium for Tetraselmis subcordiformis, a microalga capable of bio-photolytic hydrogen production. In three experimental variants, different organic loading rates were applied in the anodic chamber, resulting in significant differences in effluent quality and its suitability as a culture medium. In contrast to the dominant MFC configurations, in which microalgae act as cathodic biocatalysts, the microbial fuel cell in this study was used as a source of the inevitable anode effluent, which was subsequently valorized as a cultivation medium for the marine microalga T. subcordiformis to support biomass and hydrogen production. In variants with moderate COD concentration and low lipid content, the highest biomass concentrations, ranging from 941 ± 104 mg VS/L to 1020 ± 108 mg VS/L, were obtained, along with the highest nitrogen assimilation efficiency (48.7–49.1%) and phosphorus assimilation efficiency (62.3–63.1%). The variant in which the culture medium contained the highest concentrations of COD, TSS, and lipids showed a substantial limitation of biomass growth to 745 ± 75 mg VS/L and lower nutrient removal efficiency (total nitrogen—42.3 ± 4.7%, total phosphorus—55.0 ± 5.0%). The obtained biomass was then used for H₂ production in a mineral photobiolytic medium. The highest total hydrogen production reached 184.7 ± 25.0 mL, while the specific hydrogen yield reached 193.7 ± 32.6 mL/g VS. Increased concentration of organic matter in the medium reduced total hydrogen production to 112.0 ± 14.8 mL, mainly due to lower biomass concentration, although the specific hydrogen yield remained high (153.4 ± 25.8 mL/g VS). The biogas composition was stable (H₂ 58.0–58.7%, CO₂ 35.3–35.9%, O₂ 6.0–6.2%). Full article

Background: Assessing image quality is critical in medical imaging to ensure diagnostic reliability. Traditional no-reference image quality assessment (IQA) metrics designed for natural images often fail to address the complexities of medical images. This study proposes DermaIQA, a novel no-reference metric for dermoscopic images that aligns quality scores with clinical perception. Methods: We developed a degradation pipeline simulating realistic artifacts without requiring extensive manual labeling. From 812 expert-classified images, we generated a comprehensive dataset (>125,000 images) using controlled blur and compression techniques. An iterative ranking procedure converted these degradations into a continuous quality scale, which was used to train a vision transformer model. Results: The proposed IQA metric outperformed both heuristic and deep learning techniques, achieving 92% accuracy in distinguishing high-quality vs. low-quality images. The approach demonstrated robust generalization when tested on external datasets with different acquisition characteristics, confirming its relevance across varied imaging conditions. Conclusions: DermaIQA represents the first dermatology-specific quality metric that minimizes expert annotation requirements while maintaining clinical relevance. This tool enhances workflows through real-time acquisition feedback and acts as a gatekeeper for AI diagnostic systems, ensuring only high-quality images are processed. The trained model and inference scripts are publicly available. Full article

Reconfigurable intelligent surfaces (RISs) represent a paradigm shift in wireless communications, offering unprecedented control over electromagnetic wave propagation for next-generation 6G networks. This paper presents a comprehensive framework for high-precision indoor localization exploiting cooperative multi-RIS deployments. We introduce the adaptive multi-stage hybrid localization (AMSHL) algorithm, a novel approach that strategically combines fingerprinting-based and geometric time-difference-of-arrival (TDoA) methods through condition-aware adaptive fusion. The proposed framework employs a 4-RIS cooperative architecture with strategically positioned panels on room walls, enabling comprehensive spatial coverage and favorable geometric diversity. AMSHL incorporates five key innovations: (1) a hybrid fingerprint database combining received signal strength indicator (RSSI) and TDoA features for enhanced location distinctiveness; (2) a multi-stage cascaded refinement process progressing from coarse fingerprinting initialization through to iterative geometric optimization; (3) an adaptive fusion mechanism that dynamically adjusts algorithm weights based on real-time channel quality assessment including signal-to-noise ratio (SNR) and geometric dilution of precision (GDOP); (4) a robust iteratively reweighted least squares (IRLS) solver with Huber M-estimation for outlier mitigation; and (5) Bayesian regularization incorporating fingerprinting estimates as informative priors. Comprehensive Monte Carlo simulations at 3.5 GHz carrier frequency with 400 MHz bandwidth demonstrate that AMSHL achieves a median localization error of 0.661 m, root-mean-squared error (RMSE) of 1.54 m, and mean-squared error (MSE) of 2.38 m${}^2$, with 87.5% probability of sub-2m accuracy, representing a 4.9× improvement over conventional hybrid fingerprinting in median error and a 7.1× reduction in MSE (from 16.83 m${}^2$ to 2.38 m${}^2$). An optional sigmoid-based fusion variant (AMSHL-S) further improves sub-2m accuracy to 89.4% by eliminating discrete switching artifacts. Furthermore, we provide theoretical analysis including Cramér–Rao lower bound (CRLB) derivation with an empirical MSE comparison to quantify the gap between practical algorithm performance and theoretical bounds (MSE-to-CRLB ratio of approximately $4.0\times {10}^4$), as well as a computational complexity assessment. All reported metrics have been cross-validated for internal consistency across formulas, tables, and textual descriptions; improvement factors and error statistics are verified against primary simulation outputs to ensure reproducibility. The complete simulation framework is made publicly available to facilitate reproducible research in RIS-aided positioning systems. Full article

Drying chili peppers is a crucial technique for their preservation, as it extends shelf life while minimizing the degradation of high-value bioactive compounds. This study evaluated the impact of modulated solar irradiation on the drying kinetics and quality retention of “Chile de Agua” (Capsicum annuum L.) peppers across three maturity stages (unripe, ripe, and overripe). Two cylindrical solar dryers were employed: a conventional solar dryer (CSD) and a novel Solar Dryer with Dynamic Irradiance Control (SDIC) utilizing Polymer Dispersed Liquid Crystal (PDLC) technology. Drying behavior was analyzed through moisture ratio and drying rate, while quality attributes were assessed via color parameters, capsaicinoid content, and flavonoid profiling using UPLC-PDA-ESI-MS. Results demonstrated that the maturity stage significantly influences drying kinetics; unripe fruits exhibited the fastest dehydration rate, reducing drying time by approximately 14% compared to overripe fruits. Regarding quality, the CSD better preserved color (ΔE of 15.29 for ripe chilies). At the same time, the SDIC system significantly favored the retention of bioactive compounds, maintaining higher concentrations of total capsaicinoids (up to 1700 µg/g DW) and flavonoids such as luteolin (15.9 mg/100 g DW) and quercitrin (11.5 mg/100 g DW), especially in ripe fruits. The findings suggest that optimal processing requires selecting the drying method based on the targeted final use: CSD for color preservation in unripe chilies, or SDIC for maximizing bioactive retention in ripe fruits. Full article

In bovine embryo transfer (ET) using in vitro-produced (IVP) embryos, recipient factors and embryo grade are well-established predictors of pregnancy success, but the impact of the laboratory-level developmental competence of IVP embryos remains insufficiently characterized. This retrospective study evaluated factors affecting pregnancy rates following the transfer of IVP beef embryos to dairy recipients. Medical records from 462 ETs were analyzed across three categories: (1) recipient-related factors (parity, body condition, estrus synchronization, corpus luteum characteristics); (2) laboratory factors (cleavage, blastocyst formation, degeneration, embryo grade, developmental stage, cryopreservation); and (3) environmental factors (temperature–humidity index, transport time). Mean comparison and chi-square analyses revealed significant differences in pregnancy rates based on corpus luteum volume, cleavage rates, blastocyst formation rates, degeneration rates, and embryo grade. In binary logistic regression, categorized increases in blastocyst formation rate, degeneration rate, and embryo grade were associated with a 1.45-fold increase, 0.74-fold decrease, and 0.56-fold decrease in pregnancy odds, respectively; no recipient or environmental variables were independent predictors. These findings indicate that developmental competence of IVP embryos is more critical for pregnancy success than recipient or environmental factors, suggesting that optimizing IVP systems to maximize embryo quality is the most effective strategy to improve reproductive efficiency in ET. Full article