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Background and Objectives: Numerous traditional and innovative approaches have been employed to understand and evaluate children’s food preferences and food and nutrition knowledge, recognizing their essential role in shaping good nutrition. Drawing as a projective technique allows children to express their unconscious thoughts and preferences through visual representation, distinguishing it from other methods by providing an insight into their inner feelings and perceptions that may not be easily articulated through verbal techniques. The main goals of the study are to use drawing as a projective technique to gain insights into children’s food preferences, and to examine the children’s current nutrition knowledge and dietary perceptions. Methods: This study involved school-aged children from four public schools in San Jose City, Nueva Ecija, Philippines, who met the inclusion criteria and provided parental consent and the children’s permission. Data collection included (a) questionnaires to measure food group and food frequency knowledge, the children’s opinions on food healthiness and likability, and (b) a drawing activity as a projective technique. The questionnaire scores and the specific foods on the children’s drawings were entered into an electronic worksheet and analyzed quantitatively. Results: The majority of Filipino school-aged children have a low (50%) to average (43%) level of food group knowledge and an average (62%) to low (32%) level of food frequency knowledge. The children can identify the healthiness of the food, but they express a liking for both healthy and unhealthy options. The children’s drawings showed a low preference for Glow food groups, including fruits and vegetables (47%), as compared to Grow foods (94%), Beverages (89%), and Go foods (85%) groups. “Rice and Egg”, the most paired items, indicated a preference among Filipino children. Gender-based analysis showed girls favored “Ice Cream”, “Bread”, “Apple”, and “Oranges” more than boys, but there were no significant gender differences found in Grow food group preferences. Conclusions: Children’s drawings are an effective, valuable complementary tool for understanding children’s food preferences, displaying the value of creative methods in gaining unique insights. The results highlight specific gaps in knowledge, such as the need for a better understanding of food groups and the importance of fruits and vegetables among children. Addressing these gaps in educational programs could enhance children’s food knowledge and encourage healthier dietary choices. Nutrition education programs might use interactive activities focused on food groups and emphasize the benefits of fruits and vegetables to promote better dietary habits for the improvement of children’s long-term health outcomes. Full article

A comprehensive analysis of the volatile components of 11 different cherry tomato pastes (Tesco Extra, Orange, Zebra, Yellow, Round Netherland, Mini San Marzano, Spar truss, Tesco Sunstream, Paprikakertész, Mc Dreamy, and Tesco Eat Fresh) commercially available in Hungary was performed. In order to ensure the reliability and accuracy of the measurement, the optimal measurement conditions were first determined. SPME (solid-phase microextraction) fiber coating, cherry tomato paste treatment, and SPME sampling time and temperature were optimized. CAR/PDMS (carboxen/polydimethylsiloxane) fiber coating with a film thickness of 85 µm is suggested at a 60 °C sampling temperature and 30 min extraction time. A total of 64 common compounds was found in the prepared, mashed cherry tomato samples, in which 59 compounds were successfully identified. Besides the already published compounds, new, cherry tomato-related compounds were found, such as 3 methyl 2 butenal, heptenal, Z-4-heptenal, E-2-heptenal, E-carveol, verbenol, limonene oxide, 2-decen-1-ol, Z-4-decen-1-al, caryophyllene oxide, and E,E-2,4-dodecadienal. Supervised and unsupervised classification methods have been used to classify the tomato varieties based on their volatiles, which identified 16 key components that enable the discrimination of the samples with a high accuracy. Full article

Given the complex spatiotemporal variability of aerosols, high-frequency satellite observations are essential for accurately mapping their distribution. However, optical remote sensing encounters difficulties in detecting Aerosol Optical Depth (AOD) over cloud-covered regions, creating data gaps that limit comprehensive environmental analysis. This study introduces a spatial gap-filling method for Himawari-8/Advanced Himawari Imager (AHI) hourly AOD data, using a Random Forest (RF) model that integrates meteorological variables and model-based AOD data. Developed and validated over South Korea from 1 January to 31 December 2019, the model effectively improved data coverage from 6% to 100%. The approach demonstrated high performance in blind tests, achieving a root mean square error (RMSE) of 0.064 and a correlation coefficient (CC) of 0.966. Meteorological analysis indicated optimal model performance under cold, dry conditions (RMSE: 0.047, CC: 0.956), compared to humid conditions (RMSE: 0.105, CC: 0.921). Validation against Aerosol Robotic Network (AERONET) ground observations showed that, while the original Himawari-8 data exhibited higher accuracy (RMSE: 0.189, CC: 0.815, n = 346), the gap-filled dataset maintained reasonable precision (RMSE: 0.208, CC: 0.711) and significantly increased the number of valid data points (n = 4149). Furthermore, the gap-filled dataset successfully captured seasonal AOD patterns, with values ranging from 0.245–0.300 in winter to 0.381–0.391 in summer, providing a comprehensive view of aerosol dynamics across South Korea. Full article

The accelerated life testing (ASLT) method was used to evaluate the effect of increasing the storage temperature from 10 to 40 °C on the aerobic plate count (APC), the pH, and the colorimetric parameters (L*, a*, b*) of pasteurized orange juice during 40 days of storage. For APC growth, a polynomial model was found to fit better, and at the lower temperatures of 10 and 15 °C, the shelf life was longer, as expected. More specifically, 15 and 10 days were needed, respectively, until the rise in the APC population to 1000 cfu/mL. However, for the temperature range of 30–40 °C, only approximately 3 days were needed to reach 1000 cfu/mL APC. Regarding pH, according to an exponential 3P model, a stable trend was apparent at all temperatures until 30 days of storage, followed by a more abrupt decreasing trend at 25 °C. The lightness (L*), redness (a*), and yellowness (b*) of the juice showed a decreasing trend with the temperature increase, and this trend was more profound at higher temperature levels. The multiple regression analysis between the predictors L*, a*, b*, pH, storage temperature, and the APC response showed an increase in APC growth when the colorimetric parameters decreased and the temperature increased. Full article

This article introduces a novel approach to detecting honey adulteration by combining ultra-fast gas chromatography (UF-GC) with advanced machine learning techniques. Machine learning models, particularly support vector regression (SVR) and least absolute shrinkage and selection operator (LASSO), were applied to predict adulteration in orange blossom (OB) and sunflower (SF) honeys. The SVR model achieved R² values above 0.90 for combined honey types. Treating OB and SF honeys separately resulted in a significant accuracy improvement, with R² values exceeding 0.99. LASSO proved especially effective when honey types were treated individually. The integration of UF-GC with machine learning not only provides a reliable method for detecting honey adulteration, but also sets a precedent for future research in the application of this technique to other food products, potentially enhancing food authenticity across the industry. Full article

Monitoring fungicide residues in orange fruits is vital, as fungicides for orange cultivation are increasingly used to prevent yield loss. At the same time, increasing restrictions are added by regulatory organizations. For facile on-site monitoring of the fungicide carbendazim (MBC), five ion-selective potentiometric sensors are proposed and compared. The first two sensors were prepared with a precipitation-based technique using molybdate (sensor 1) and tetraphenylborate (TPB) (sensor 2), respectively. Furthermore, two ionophore-based sensors were prepared using β-cyclodextrin as ionophore together with TPB (sensor 3) and tetrakis(4-chlorophenyl)borate (TpClPB) (sensor 4) as ion-exchanger. Further incorporation of multi-walled carbon nanotubes (MWCNTs) between the graphite rod and the sensing membrane of sensor 4 (sensor 5) further improved the stability and significantly lowered the limit of detection (LOD). Their performance was evaluated according to IUPAC recommendations, revealing linear response in the concentration range 1 × 10⁻⁴–1 × 10⁻² M, 1 × 10⁻⁵–1 × 10⁻² M, 1 × 10⁻⁵–1 × 10⁻³ M, 1 × 10⁻⁶–1 × 10⁻³ M, and 1 × 10⁻⁷–1 × 10⁻³ M with a Nernstian slope of 54.56, 55.48, 56.00, 56.85, and 57.34 mV/decade, respectively. The LOD values for the five sensors were found to be 7.92 × 10⁻⁵, 9.98 × 10⁻⁶, 9.72 × 10⁻⁶, 9.61 × 10⁻⁷, and 9.57 × 10⁻⁸ M, respectively. The developed potentiometric sensors were successfully applied to determine the residue and degradation rate of MBC in orange samples. After the researched fungicide was applied to the orange trees, the preharvest interval (PHI) could be calculated based on the MBC degradation kinetics determined in the tested orange samples. Full article

Solar energy production is vastly affected by climatological factors. This study examines the impact of two primary climatological factors, aerosols and clouds, on solar energy production at two of the world’s largest solar parks, Benban and Al Dhafrah Solar Parks, by using Earth observation data. Cloud microphysics were obtained from EUMETSAT, and aerosol data were obtained from the CAMS and assimilated with MODIS data for higher accuracy. The impact of both factors was analysed by computing their trends over the past 20 years. These climatological trends indicated the variations in the change in each of the factors and their resulting impact over the years. The trends were quantified into the actualised drop in energy production (Wh/m${}^2$/year) in order to obtain the impact of each factor. Aerosols displayed a falling trend of −17.78 Wh/m${}^2$/year for Benban and −44.88 Wh/m${}^2$/year for Al Dhafrah. Similarly, clouds also portrayed a largely falling trend for both stations, −36.29 Wh/m${}^2/$year (Benban) and −70.27 Wh/m${}^2$/year (Al Dhafrah). The aerosol and cloud trends were also observed on a monthly basis to study their seasonal variation. The trends were further translated into net increases/decreases in the energy produced and the resulting emissions released. The analysis was extended to quantify the economic impact of the trends. Owing to the falling aerosol and cloud trends, the annual production was foreseen to increase by nearly 1 GWh/year (Benban) and 1.65 GWh/year (Al Dhafrah). These increases in annual production estimated reductions in emission released of 705.2 tonne/year (Benban) and 1153.7 tonne/year (Al Dhafrah). Following these estimations, the projected revenue was foreseen to increase by 62,000 USD/year (Benban) and 100,000 USD/year (Al Dhafrah). Considering the geographical location of both stations, aerosols evidently imparted a larger impact compared with clouds. Severe dust storm events were also analysed at both stations to examine the worst-case scenario of aerosol impact. The results show that the realized losses during these events amounted to 2.86 GWh for Benban and 5.91 GWh for Al Dhafrah. Thus, this study showcases the benefits of Earth observation technology and offers key insights into climatological trends for solar energy planning purposes. Full article

Selenium disulfide (often referred to as SeS₂) encompasses a family of mixed selenium-sulfide eight-membered rings, traditionally used as an anti-dandruff agent in shampoos. SeS₂ can be produced by reacting hydrogen sulfide (H₂S) with selenite (SeO₃²⁻) under acidic conditions. This chemistry is also possible with natural spring waters that are rich in H₂S, thus providing an avenue for the more sustainable, green production of high-quality SeS₂ particles from an abundant natural source. The orange material obtained this way consists of small globules with a diameter in the range of 1.1 to 1.2 µm composed of various Se_xS_8−x chalcogen rings. It shows the usual composition and characteristics of a Se-S interchalcogen compound in EDX and Raman spectroscopy. Since the mineral water from Bad Nenndorf is also rich in salts, the leftover brine has been evaporated to yield a selenium-enriched salt mixture similar to table salt. As the water from Bad Nenndorf—in comparison to other bodies of water around the world—is still rather modest in terms of its H₂S content, especially when compared with volcanic waters, this approach may be refined further to become economically and ecologically viable, especially as a regional business model for small and medium-sized enterprises. Full article

This study evaluates the physicochemical characteristics, antioxidant, antibacterial, and antiproliferative properties of rapeseed honey collected from Vojvodina, Serbia, as well as rapeseed honey-based products enriched with 10% fruit lyophilizate, including sour cherry (Prunus cerasus), strawberry (Fragaria), blueberry (Vaccinium myrtillus), raspberry (Rubus idaeus), blackberry (Rubus fruticosus), orange (Citrus sinensis), and pineapple (Ananas comosus). Honey-based products with lyophilizates were developed to enhance the relatively limited therapeutic potential of rapeseed honey by incorporating fruit lyophilizates known to possess bioactive compounds. The moisture content, pH, electrical conductivity, free acidity, hydroxymethylfurfural (HMF), and mineral composition were analyzed. Sour cherry-enriched honey exhibited the highest total phenolic content (TPC = 102 ± 0.18 mg GAE/100 g), while blueberry-enriched honey had the highest total flavonoid content (TFC = 34.9 ± 0.89 mg CAE/100 g) and total anthocyanin content (TAC = 299 ± 3.14 mg EC/100 g), with the greatest relative scavenging capacity (81.0 ± 0.46% of DPPH inhibition). Polyphenol profiling identified phenolic acids and flavonoids, with raspberry-enriched honey showing the highest total polyphenol content (47.0 ± 0.98 mg/kg) due to its high ellagic acid content (38.4 ± 1.11 mg/kg). All honey-based products demonstrated moderate antibacterial activity against Staphylococcus aureus and Staphylococcus epidermidis. Significant antiproliferative effects against breast (MCF-7), cervix (HeLa), and colon (HT-29) cancer cell lines were observed, particularly in pineapple and blueberry-enriched honey, with IC₅₀ values as 9.04 ± 0.16 mg/mL and 9.95 ± 0.24 mg/mL for MCF-7 cells, respectively. Based on all the obtained results, it can be concluded that the enrichment of rapeseed honey with fruit lyophilizates at a 10% level contributed to an increase in the antioxidant, antibacterial, and antiproliferative properties of rapeseed honey. Full article

Steam explosion (STEX) of peel from commercially juice-extracted oranges was used to convert peel pectin into pectic oligosaccharides (POSs). Surprisingly uniform populations, based on the polydispersity index (PDI; weight-average molecular weight (M_w)/number-average molecular weight (M_n)) of POSs, were obtained from the Hamlin and Valencia varieties of Citrus sinensis. The POSs from Hamlin and Valencia peel had PDI values of (1.23 ± 0.01, 1.24 ± 0.1), respectively. The M_w values for these samples were 14.9 ± 0.2 kDa for Hamlin, and 14.5 ± 0.1 kDa for Valencia, respectively. The degree of methyl-esterification (DM) was 69.64 ± 3.18 for Hamlin and 65.51 ± 1.61 for Valencia. The composition of the recovered POSs was dominated by galacturonic acid, ranging from 89.1% to 99.6% of the major pectic sugars. Only the Hamlin sample had a meaningful amount of rhamnose present, indicating the presence of an RG I domain. Even so, the Hamlin sample’s degree of branching (DBr) was very low (2.95). Full article

This study delves into the multifaceted realm of citrus fruits, exploring their significance and socioeconomic implications from their early introduction to Western Muslim and Renaissance gardens, tracing their journey throughout history. Employing a multidisciplinary approach, drawing from biological, archaeobotanical, iconographic, and textual sources, our study offers a comprehensive exploration of citrus symbolism and cultural significance, integrating historical, artistic, horticultural, and socioeconomic viewpoints. The genus Citrus (Rutaceae) comprises around thirty species and its natural habitat spans from the southern slopes of the Himalayas to China, Southeast Asia, nearby islands, and Queensland. Originating from only four of these species, humans have cultivated hundreds of hybrids and thousands of varieties, harnessing their culinary, medicinal, and ornamental potential worldwide. We delve into the symbolic value of citrus fruits, which have served as indicators of economic status and power. From their early presence in Mediterranean religious rituals to their depiction in opulent Roman art and mythical narratives like the Garden of the Hesperides, citrus fruits have epitomized luxury and desire. Christian lore intertwines them with the forbidden fruit of Eden, while Islamic and Sicilian gardens and Renaissance villas signify their prestige. We analyze diverse perspectives, from moralists to hedonists, and examine their role in shaping global agriculture, exemplified by rare varieties like aurantii foetiferi. Full article

Many medical conditions impair proprioception but there are few easy-to-deploy technologies for assessing proprioceptive deficits. Here, we developed a method—called “OpenPoint”—to quantify upper extremity (UE) proprioception using only a webcam as the sensor. OpenPoint automates a classic neurological test: the ability of a person to use one hand to point to a finger on their other hand with vision obscured. Proprioception ability is quantified with pointing error in the frontal plane measured by a deep-learning-based, computer vision library (MediaPipe). In a first experiment with 40 unimpaired adults, pointing error significantly increased when we replaced the target hand with a fake hand, verifying that this task depends on the availability of proprioceptive information from the target hand, and that we can reliably detect this dependence with computer vision. In a second experiment, we quantified UE proprioceptive ability in 16 post-stroke participants. Individuals post stroke exhibited increased pointing error (p < 0.001) that was correlated with finger proprioceptive error measured with an independent, robotic assessment (r = 0.62, p = 0.02). These results validate a novel method to assess UE proprioception ability using affordable computer technology, which provides a potential means to democratize quantitative proprioception testing in clinical and telemedicine environments. Full article

Citrus spp. represent an economically important fruit tree crop worldwide. However, molecular mechanisms underlying the interaction between citrus and the Colletotrichum gloeosporioides remain largely unexplored. In this study, we analyzed the physiological and transcriptomic changes in Citrus sinensis at different stages of incubation with C. gloeosporioides. The results indicated that C. gloeosporioides infection rapidly triggered necrosis in the epicarp of C. sinensis fruits, decreased the total flavonoid contents, and suppressed the activity of catalase, peroxidase, and superoxide dismutase enzymes. Upon inoculation with C. gloeosporioides, there were 4600 differentially expressed genes (DEGs) with 1754 down-regulated and 2846 up-regulated after six hours, while there were only 580 DEGs with 185 down-regulated and 395 up-regulated between six and twelve-hours post-inoculation. Gene Ontology and the Kyoto Encyclopedia of Genes and Genomes enrichment analysis indicated that the DEGs, which exhibited consistent up-regulation, were associated with metabolic processes and stress responses. Through Weighted Gene Co-Expression Network Analysis, 11 key genes have been identified that could potentially play a role in the transcriptional regulation of this process, including the transcription factor bHLH189. Furthermore, the infection of C. gloeosporioides had a notable effect on both the flavonoid metabolism and the metabolic pathways related to reactive oxygen species. Our findings help to understand the interaction between citrus and C. gloeosporioides and unveil how new insights into how C. gloeosporioides circumvents citrus defense mechanisms. Full article

This study presents an innovative machine learning (ML) approach to predicting raw material yield in the leather tanning industry, addressing a critical challenge in production efficiency. Conducted at a tannery in southern Brazil, the research leverages historical production data to develop a predictive model. The methodology encompasses four key stages: data collection, processing, prediction, and evaluation. After rigorous analysis and refinement, the dataset was reduced from 16,046 to 555 high-quality records. Eight ML models were implemented and evaluated using Orange Data Mining software, version 3.38.0, including advanced algorithms such as Random Forest, Gradient Boosting, and neural networks. Model performance was assessed through cross-validation and comprehensive metrics, including Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), Mean Squared Error (MSE), and Coefficient of Determination (R²). The AdaBoost algorithm emerged as the most accurate predictor, achieving impressive results with an MAE of 0.042, MSE of 0.003, RMSE of 0.057, and R² of 0.331. This research demonstrates the significant potential of ML techniques in enhancing raw material yield forecasting within the tanning industry. The findings contribute to more efficient forecasting processes, aligning with Industry 4.0 principles and paving the way for data-driven decision-making in manufacturing. Full article

The electrochromic phenomenon of conducting polymer is mainly dominated by the π-π* band transition. The π conjugation is influenced by the coplanarity between polymer units, deviations from which can lead to an increased ionization potential and band gap values. In order to investigate the effect of plane distortion angle on electrochromic color in the main chain structure of polymerization, high-performance poly(3,3′-dimethyl-2,2′-bithiophene) (PDMeBTh) with a large plane distortion angle is successfully synthesized in boron trifluoride diethyl etherate (BFEE) by the electrochemical anodic oxidation method. The electrochemical and thermal properties of PDMeBTh prepared from BFEE and ACN/TBATFB are compared. The electrochromic properties of PDMeBTh are systematically investigated. The PDMeBTh shows a different color change (orange-yellow in the neutral state) compared to poly (3-methylthiophene) (light-red in the neutral state) due to the large torsion angle between thiophene rings of the main polymer chain. The optical contrast, response time, and coloring efficiency (CE) of the prepared PDMeBTh are also studied, which shows good electrochromic properties. For practical applications, an electrochromic device is fabricated by the PDMeBTh and PEDOT. The color of the device can be reversibly changed between orange-yellow and dark blue. The light contrast of the device is 27% at 433 nm and 61% at 634 nm. The CE value of the device is 403 cm² C⁻¹ at 433 nm and 577 cm² C⁻¹ at 634 nm. The constructed device also has good open circuit memory and electrochromic stability, showing good potential for practical applications. Full article