Search Results (58)

Effective evaluation of the accuracy of multi-source NO₂ products from different satellites and reanalysis is of great significance for data fusion and application. Based on NO₂ observation data from Pandora stations worldwide, we verify and compare the accuracy of the total column density of NO₂ (TOTNO₂) from OMI, TROPOMI, GOME-2 satellites and CAMS reanalysis. The mean biases of the four TOTNO₂ datasets relative to the Pandora station observation data are all negative, indicating that all four TOTNO₂ products show systematic underestimation with respect to Pandora. Overall, TROPOMI has the highest correlation (R = 0.88) and the smallest root mean square error (RMSE = 4.83 Pmolec·cm⁻²), suggesting that among the four TOTNO₂ products, the accuracy of TROPOMI TOTNO₂ is higher compared with the other TOTNO₂ products. The accuracies of OMI and GOME-2 are in the middle, while the performance of CAMS is the poorest. The TOTNO₂ values and accuracies from the four TOTNO₂ products both show a seasonal characteristic. Among the four TOTNO₂ products, the accuracy is higher in summer, and the error increases in autumn and winter. After performing linear fitting correction on the four NO₂ products, the mean biases of each data are reduced by more than 79%, and the RMSE decreases by 4–28%. The consistency of the four TOTNO₂ products with the ground-based observation data is significantly improved. Full article

This study aimed to intensify the ultrasound-assisted extraction (UAE) of rutin, chlorogenic acid, ferulic acid, and total phenolic compounds (TPCs) from mangaba (Hancornia speciosa Gomes) fruit. Based on a univariate experimental screening, the selected operational conditions for the recovery of TPC, chlorogenic, and ferulic acids were achieved at an ultrasonic frequency of 40 kHz with an output power of 145 W (100% potency), atmospheric pressure, and 35 °C for 30 min. Under these conditions, the extraction yields were 1540.46 ± 19.48 mg GAE/100 g for TPC, 183.86 ± 4.53 mg/100 g for chlorogenic acid, and 2.19 ± 0.3 mg/100 g for ferulic acid. Conversely, the highest rutin concentration (157.17 ± 4.68 mg/100 g) was obtained at 145 W, atmospheric pressure, and 30 °C for 30 min. Increasing the ultrasonic potency from 30% to 100% significantly enhanced the extraction of chlorogenic acid, ferulic acid, and TPC, whereas it had no significant impact on rutin recovery. These results demonstrate that time, temperature, and ultrasonic potency are critical drivers of process efficiency. This work establishes a technical baseline for the industrial scale-up of UAE, highlighting its potential for the high-yield production of bioactive extracts from native Brazilian fruits for the pharmaceutical and food sectors. Full article

This study assesses indicative technical correspondences and divergences between Francisco de Zurbarán’s painting practices and those observed in the seventeenth-century Óbidos workshop (Baltazar Gomes Figueira and Josefa d’Óbidos). We focus on the composition and function of priming layers, the shadow-to-light painting sequence, and pigment/binder usage. A multi-analytical approach was employed: portable X-ray Fluorescence (XRF), Optical Microscopy on polished cross-sections (OM), Scanning Electron Microscopy in backscattered mode with Energy-Dispersive X-ray analysis (SEM-BSE/EDS), Micro-Confocal Raman Spectroscopy (µ-Raman), and Micro-Fourier Transform Infrared Spectroscopy (µ-FTIR). Rather than treating single pigments as diagnostic, we compare patterns of application and stratigraphic behaviour—notably a two-layer priming, in which a finer, Fe-rich upper layer is actively used to build shadows, and a consistent exploitation of the priming as a value layer in a shadow-to-light sequence. Materials largely overlap, while priming compositions differ, plausibly reflecting local resources. Given the small corpus (two works by Zurbarán, one by Baltazar, and one by Josefa), conclusions are presented as indicative and contextualized within Iberian workshop practice. Full article

This study provides a comprehensive, long-term evaluation of inter-sensor radiometric calibration biases for the NOAA OMPS Nadir and CrIS instruments using four complementary validation methodologies implemented within the Inter-Sensor Radiometric Bias Assessment (iSensor-RCBA) portal, a component of the STAR Integrated Calibration/Validation System. Overall, SDR data quality from the three OMPS Nadir instruments and three CrIS instruments aboard SNPP, NOAA-20, and NOAA-21 remains stable. The iSensor-RCBA portal has also proven to be a powerful diagnostic resource, enabling the detection of both new and previously unrecognized calibration issues and anomalies. Using the 32-day averaged difference method, we were the first to discover and identify the root cause of an inconsistency near 280 nm in inter-sensor radiometric biases between the SNPP and NOAA-20 OMPS NP instruments. The same method also revealed an unusual radiometric feature in NOAA-21 CrIS SDRs over the southern high latitudes during spring and summer. In addition, we derived decade-long degradation rates at 11 Metop-B GOME-2 wavelengths using an independent dataset—Simultaneous Nadir Overpass observations between SNPP OMPS and Metop-B GOME-2. Furthermore, iSensor-RCBA monitoring confirmed two geolocation anomalies in SNPP CrIS through a new approach involving SNO-based inter-sensor biases between GOES-16 ABI and SNPP CrIS. These cases demonstrate that iSensor-RCBA is not only a monitoring visualization tool but also a diagnostic tool that delivers unique, complementary insight into instrument performance, enabling early identification of radiometric and geolocation issues across JPSS and other satellite missions. Importantly, the analysis methods used in this study are broadly applicable to current and future missions, including JPSS-03, JPSS-04, and non-NOAA satellite systems. Full article

Background/Objectives: Regenerating critical-sized bone defects is a significant clinical challenge. Autogenous bone grafts are the gold standard but have limitations, including donor site morbidity. As an alternative, this study introduces a novel biocomposite combining an ethyl cyanoacrylate (ECA) polymer with Hancornia speciosa (Hs) latex. The ECA acts as a scaffold and delivery vehicle for the latex, which contains phytochemicals with known angiogenic properties. Methods: We created 5 mm critical-sized calvarial defects in 36 Wistar rats, which were divided into four experimental groups. Bone regeneration was evaluated at 30, 60, and 90 days using micro-computed tomography (micro-CT) for morphometric analysis and hematoxylin and eosin staining for histology. Results: The composite-treated group (Hs+ECA) showed significantly higher bone volume (57.2; IQR: 56.7–61.2) than the control (53.9; IQR: 49.4–56.4) and ECA-only (48.4; IQR: 47.2–59.9) groups at 90 days (p < 0.05). By day 60, the bone volume in the Hs+ECA group was statistically similar (p > 0.05) to that of the autogenous bone group. Histological analysis revealed an organized repair process with neoangiogenesis observed only in the Hs+ECA group, confirming the material’s strong bioactivity. Conclusions: The Hs+ECA composite is a promising biomaterial that acts as an effective delivery system for the bioactive components of the latex. The induced angiogenesis was critical to its regenerative success. This cost-effective material warrants further investigation for clinical applications in regenerative dentistry. Full article

Hancornia speciosa Gomes (H. speciosa) is present in several regions of Brazil. It is a plant traditionally used in the treatment of various diseases. This study aims to provide a comprehensive overview of scientific publications and patents related to H. speciosa, emphasizing its primary applications and potential utility. For scientific prospection, an extensive search for relevant publications was carried out in the Scopus database. For technological prospection, the Instituto Nacional de Propriedade Intelectual (INPI) and World Intellectual Property Organization (WIPO) databases were utilized. Research on H. speciosa spans across multiple domains, including agronomy, gastronomy, technology, and pharmaceuticals, revealing the identification of numerous pharmacologically interesting compounds, such as rutin, chlorogenic acid, bornesitol, and various triterpenes, such as Lupeol, α- and β-amyrin, and their respective acetates. Regarding patents, there is a notable emphasis on gastronomic applications, with only a limited number of patents dedicated to technological and health-related areas. The increasing interest in H. speciosa is evident from the various studies investigating the biological properties of its compounds, such as anti-inflammatory, antihypertensive, and antidiabetic actions. Additionally, there is significant potential for further exploration and advancement of research in the pharmaceutical and technological sectors. Full article

Nitrogen dioxide (NO₂) plays a crucial role in environmental processes and public health. In recent years, NO₂ pollution has been monitored using a combination of in situ measurements and satellite remote sensing, supported by the development of advanced retrieval algorithms. With advancements in satellite technology, large-scale NO₂ monitoring is now feasible through instruments such as GOME-2C and TROPOMI. However, the fixed local overpass times of polar-orbiting satellites limit their ability to capture the complete diurnal cycle of NO₂, introducing uncertainties in emission estimation and pollution trend analysis. In this study, we evaluated differences in NO₂ observations between GOME-2C (morning overpass at ~09:30 LT) and TROPOMI (afternoon overpass at ~13:30 LT) across three representative regions—East Asia, Central Africa, and Europe—that exhibit distinct emission sources and atmospheric conditions. By comparing satellite-derived tropospheric NO₂ column densities with ground-based measurements from the Pandora network, we analyzed spatial distribution patterns and seasonal variability in NO₂ concentrations. Our results show that East Asia experiences the highest NO₂ concentrations in densely populated urban and industrial areas. During winter, lower boundary layer heights and weakened photolysis processes lead to stronger accumulation of NO₂ in the morning. In Central Africa, where biomass burning is the dominant emission source, afternoon fire activity is significantly higher, resulting in a substantial difference (1.01 × 10¹⁶ molecules/cm²) between GOME-2C and TROPOMI observations. Over Europe, NO₂ pollution is primarily concentrated in Western Europe and along the Mediterranean coast, with seasonal peaks in winter. In high-latitude regions, weaker solar radiation limits the photochemical removal of NO₂, causing concentrations to continue rising into the afternoon. These findings demonstrate that differences in polar-orbiting satellite overpass times can significantly affect the interpretation of daily NO₂ variability, especially in regions with strong diurnal emissions or meteorological patterns. This study highlights the observational limitations of fixed-time satellites and offers an important reference for the future development of geostationary satellite missions, contributing to improved strategies for NO₂ pollution monitoring and control. Full article

Sun-induced chlorophyll fluorescence (SIF) is an important indicator of vegetation photosynthesis. While remote sensing enables large-scale monitoring of SIF, existing products face the challenge of trade-offs between temporal and spatial resolutions, limiting their applications. To select the optimal model for SIF data downscaling, we used a consistent dataset combined with vegetation physiological and meteorological parameters to evaluate four different regression methods in this study. The XGBoost model demonstrated the best performance during cross-validation (R² = 0.84, RMSE = 0.137 mW/m²/nm/sr) and was, therefore, selected to downscale GOME-2 SIF data. The resulting high-resolution SIF product (HRSIF) has a temporal resolution of 8 days and a spatial resolution of 0.05° × 0.05°. The downscaled product shows high fidelity to the original coarse SIF data when aggregated (correlation = 0.76). The reliability of the product was ensured through cross-validation with ground-based and satellite observations. Moreover, the finer spatial resolution of HRSIF better matches the footprint of eddy covariance flux towers, leading to a significant improvement in the correlation with tower-based gross primary productivity (GPP). Specifically, in the mixed forest vegetation type with the best performance, the R² increased from 0.66 to 0.85, representing an increase of 28%. This higher-precision product will support more effective ecosystem monitoring and research. Full article

With recognized adverse effects on human health and the environment, surface ozone constitutes a major problem within and downwind of urbanized areas. In this work, we first analyzed 5 years of hourly concentrations of ozone measured in two megacities with contrasting climates: Paris and Cairo. In both cases, the maximal daily concentrations were observed in summer and they exceeded the 35 ppb threshold recommended by the World Health Organization in 45% and 69% of the days, respectively. During periods of forced reduced activities, these concentrations decreased in Cairo but not in Paris. This indicates that low-emission zones are not necessarily effective to help curb the ozone problem. In a second stage, the ozone retrievals of two satellite-based atmospheric sounding methods (AIRS, and the multispectral approach IASI+GOME2) were compared to the surface measurements. A systematic overestimation, larger for AIRS than IASI+GOME2, was observed. This is likely linked to the fact that satellite approaches retrieve ozone concentrations at higher atmospheric levels than the surface. However, a significantly high linear correlation was obtained at the monthly temporal resolution. Therefore, shift adjustments of the satellite measurements provide efficient proxies of surface observations with significant monthly correlations. This may help complete lacunar surface measurements. Full article

Spring phenology (start of growing season, SOS) in boreal forests plays a crucial role in the global carbon cycle. At present, more and more researchers are using solar-induced chlorophyll fluorescence (SIF) to evaluate the land surface phenology of boreal forests, but few studies have utilized the primary SIF directly detected by satellites (e.g., GOME-2 SIF) to estimate phenology, and most SIF datasets used are high-resolution products (e.g., GOSIF and CSIF) constructed by models with vegetation indices (VIs) and meteorological data. Thus, the difference and consistency between them in detecting the seasonal dynamics of boreal forests remain unclear. In this study, a comparison of spring phenology from GOME-2 SIF, GOSIF, EVI2 (MCD12Q2), and FLUX tower sites, PEP725 phenology observation sites, was conducted. Compared with GOSIF and EVI2, the primary GOME-2 SIF indicated a slightly earlier spring phenology onset date (about 5 days earlier on average) in boreal forests, at a regional scale; however, SOSs and SOS-climate relationships from GOME-2 SIF, GOSIF, and EVI2 showed significant correlations with the ground observations at a site scale. Regarding the absolute values of spring phenology onset date, GOME-2 SIF and FLUX-GPP had an average difference of 8 days, while GOSIF and EVI2 differed from FLUX-GPP by 16 days and 12 days, respectively. GOME-2 SIF and PEP725 had an average difference of 38 days, while GOSIF and EVI2 differed from PEP725 by 24 days and 23 days, respectively. This demonstrated the complementary roles of the three remote sensing datasets when studying spring phenology and its relationship with climate in boreal forests, enriching the available remote sensing data sources for phenological research. Full article

The ultraviolet radiation index (UV index–UVI) is a dimensionless indicator that informs the intensity of ultraviolet radiation on the Earth’s surface. It makes it easier for people to assess UV levels and understand how to protect themselves from excessive Sun exposure. In Brazil, however, the information regarding UV is scarce, with low spatial and temporal coverage. Thus, continuous monitoring is conducted through satellites, although ground-based monitoring of UV is more accurate than satellite retrievals, and comparisons are necessary for validation. This paper aims to compare the levels of UV index measured on the ground and by satellite (OMI and GOME-2) over Natal, Brazil (05.78°S; 35.21°W) from 2005 to 2022. The comparison was made under clear-sky conditions using METAR cloud cover and LER data. Characterization of the diurnal and seasonal variability of the ground-based UV index levels under all and clear-sky conditions is also reported. The analysis indicates that in Natal, noontime all-sky UV index were 6.8% higher during periods of prevalent broken clouds. The two satellite sources (OMI noontime and overpass) and GOME-2 noontime are reliable sources for UV index, which show good agreement with ground-based measurements, with UVI estimated from OMI both at the overpass and noontime being less biased than GOME-2-estimated UVI. Such a process of data verification is important should these data be used for long-term trend analysis or the monitoring of UV exposure risk and possible impacts on human health. Full article

Background: This study aimed to examine the connection between craniofacial morphology, particularly the horizontal and vertical dimensions of the mandible, and the severity of obstructive sleep apnea (OSA) in non-obese adult males by utilizing a cephalometric analysis and introducing a new skeletal ratio index. Methods: A cohort of 44 non-obese adult males with OSA, diagnosed via the apnea–hypopnea index (AHI) from polysomnographic recordings, was evaluated using a lateral cephalometric analysis. OSA severity was classified as mild (5 ≤ AHI < 15) in 19 patients, moderate (15 ≤ AHI < 30) in 15 patients, and severe (AHI ≥ 30) in 10 patients. The S-Go distance divided by the N-Me distance (S-Go/N-Me) was used as a vertical ratio of craniofacial morphology, the Go-Me distance divided by the S-N distance (Go-Me/S-N) was used as a horizontal ratio, and the results were compared between groups. Correlations between each ratio and craniofacial morphology based on the five factors from the Ricketts analysis were examined for each group. Results: A significant difference was found in the horizontal ratio Go-Me/S-N between the mild and moderate groups (p < 0.05) and the mild and severe groups (p < 0.05). However, no significant differences in Ricketts analysis factors were observed across OSA severity groups. Correlations between the Go-Me/S-N and Ricketts factors were identified in the mild and moderate groups but not in the severe group. The horizontal skeletal dimension Go-Me/S-N was strongly associated with OSA severity. Conclusions: The horizontal mandibular ratio Go-Me/S-N, independent of body shape, may offer a valuable morphological marker for differentiating OSA severity in non-obese males. Full article

The high rate of perishability of fruits such as cagaita (Eugenia dysenterica DC.), seriguela (Spondias purpurea L.), mangaba (Hancornia speciosa Gomes) and pitomba (Talisia esculenta Radlk.) makes it necessary to develop adequate conservation techniques to increase post-harvest shelf life. The aim of this research was to evaluate the post-harvest quality attributes of cagaita, seriguela, mangaba and pitomba fruits stored in different types of packaging during certain periods. The treatments were defined by the combination of three types of packaging (low-density polyethylene (LDPE), polyvinyl chloride (PVC) and without packaging) and seven storage periods. Total soluble solids, titratable acidity, hydrogen potential (pH), fruit firmness and loss of fresh mass were analyzed. Fruits packaged with LDPE presented the lowest values of fresh mass loss: 2.7, 2.3, 4.2 and 1.1% for cagaita, seriguela, mangaba and pitomba, respectively. Furthermore, LPDE packaging maintained the quality attributes in all fruits analyzed. PVC packaging was more efficient in maintaining fruit firmness, with average values of 0.03 N. Atmospheric modification techniques, such as LDPE and PVC packaging, make it possible to reduce metabolic activity, ensuring better post-harvest quality and increasing the storage period of fruits that occur in the semiarid region of Minas Gerais. Full article

Artificial intelligence has been applied to medical diagnosis and decision-making but it has not been used for classification of Class III malocclusions in children. Objective: This study aims to propose an innovative machine learning (ML)-based diagnostic model for automatically classifies dental, skeletal and functional Class III malocclusions. Methods: The collected data related to 46 cephalometric feature measurements from 4–14-year-old children (n = 666). The data set was divided into a training set and a test set in a 7:3 ratio. Initially, we employed the Recursive Feature Elimination (RFE) algorithm to filter the 46 input parameters, selecting 14 significant features. Subsequently, we constructed 10 ML models and trained these models using the 14 significant features from the training set through ten-fold cross-validation, and evaluated the models’ average accuracy in test set. Finally, we conducted an interpretability analysis of the optimal model using the ML model interpretability tool SHapley Additive exPlanations (SHAP). Results: The top five models ranked by their area under the curve (AUC) values were: GPR (0.879), RBF SVM (0.876), QDA (0.876), Linear SVM (0.875) and L2 logistic (0.869). The DeLong test showed no statistical difference between GPR and the other models (p > 0.05). Therefore GPR was selected as the optimal model. The SHAP feature importance plot revealed that he top five features were SN-GoMe (the ratio of the length of the anterior skull base SN to that of the mandibular base GoMe), U1-NA (maxillary incisor angulation to NA plane), Overjet (the distance between two lines perpendicular to the functional occlusal plane from U1 and L), ANB (the difference between angles SNA and SNB), and AB-NPo (the angle between the AB and N-Pog line). Conclusions: Our findings suggest that ML models based on cephalometric data could effectively assist dentists to classify dental, functional and skeletal Class III malocclusions in children. In addition, features such as SN_GoMe, U1_NA and Overjet can as important indicators for predicting the severity of Class III malocclusions. Full article

Grasslands cover approximately one-fourth of the land in the world and play a crucial role in the carbon cycle. Therefore, quantifying the gross primary productivity (GPP) of grasslands is crucial to assess the sustainable development of terrestrial ecosystems. Drought is a widespread and damaging natural disaster worldwide, which introduces uncertainties in estimating GPP. Solar-induced chlorophyll fluorescence (SIF) is considered as an effective indicator of vegetation photosynthesis and provides new opportunities for monitoring vegetation growth under drought conditions. In this study, using downscaled GOME-2 SIF satellite products and focusing on the drought event in the Xilingol grasslands in 2009, the ability of SIF to evaluate the variations in GPP due to drought was explored. The results showed that the anomalies of SIF in July–August exhibited spatiotemporal characteristics similar to drought indicators, indicating the capability of SIF in monitoring drought. Moreover, the determination coefficient (R²) between SIF and GPP reached 0.95, indicating that SIF is a good indicator for estimating GPP. Particularly under drought conditions, the relationship between SIF and GPP (R² = 0.90) was significantly higher than NDVI and GPP (R² = 0.62), demonstrating the superior capability of SIF in tracking changes in grassland photosynthesis caused by drought compared to NDVI. Drought reduces the ability of NDVI to monitor GPP but does not affect that of SIF to monitor GPP. Our study provides a new approach for accurately estimating changes in GPP under drought conditions and is of significant importance for assessing the carbon dynamics of ecosystems. Full article