Search Results (27,001)

Selenium deficiency poses a significant threat to human health. The low bioavailability of selenium in soil largely limits the improvement of selenium content in crops. Selenium in soil mainly exists in an organically bound form. Biochar has the ability to regulate the organic matter content of soil; however, the impact of biochar on the transformation of organically bound selenium in soil remains poorly understood. Therefore, this study investigates the effect of biochar on organically bound selenium in typical medium–to–high selenium soils from Yimen County, Yuxi City, Yunnan Province. Reed straw (RS), apple wood (AW), and walnut shells (WS) were used as biomass materials for biochar preparation. The study utilized organically bound selenium transformation incubation and pot experiments to explore the role of biochar in transforming organically bound selenium in soil. The results showed that organically bound selenium was the dominant selenium form in the soil, accounting for 66.31% of the total selenium content. Both pot experiments and incubation trials indicated that the addition of biochar significantly increased the levels of water–soluble and exchangeable selenium in the soil. The addition of biochar mainly promotes the conversion of fulvic acid–bound selenium into water–soluble and exchangeable selenium. In the absence of carbon sources, humic acid–bound selenium can also be converted to water–soluble and exchangeable selenium. Correlation analysis revealed that soil water–soluble selenium was significantly negatively correlated with soil total selenium (r = −0.792 **, p < 0.01), soil phosphatase activity (r = −0.645 *, p < 0.05), abundance taxa of Chloroflexi (r = −0.751 *, p < 0.05), Chytridiomycota (r = −0.674 *, p < 0.05), and Basidiomycota (r = 0.722 **, p < 0.05), while it was significantly positively correlated with soil urease activity (r = 0.809 **, p < 0.01), and significantly negatively correlated with abundance taxa of Myxococcota (r = −0.800 **, p < 0.01). Compared with the initial soil, the WS treatment (initial soil water–soluble selenium 0.31 μg·kg⁻¹, exchangeable selenium 0.11 μg·kg⁻¹) significantly increased the soil water–soluble selenium by 34.9 times and exchangeable selenium by 100.2 times. Additionally, the selenium content in garlic increased by 170% compared to the control group. Full article

Wheat grain serves as the primary raw material for producing medium-high temperature (MT)-Daqu, a fermentation starter crucial for Chinese Baijiu production, characterized by spontaneous fermentation without the inoculation of exogenous substances. However, the interactions among wheat varieties, cultivation environments, and the resulting Daqu quality remain poorly understood. This study evaluates three wheat varieties harvested from three distinct cultivation environments, examining wheat grain quality, grain-associated endophytes, and physicochemical properties and microbial communities of MT-Daqu at 0, 9, and 90 days of fermentation. The results revealed the cultivation environment had the most pronounced impact on wheat fungal endophytes. The physicochemical properties of Daqu were primarily impacted by variety, namely, the enzyme activity impacted by environmental factors. Pantoea, Aspergillus, and Stephylium are key microbial genera shared between wheat grains and MT-Daqu. Redundancy analysis highlighted the critical roles of moisture content, starch content, and amino acid nitrogen levels in driving microbial succession in Daqu. Mantel analysis demonstrated significant correlations between the abundance of dominant fungal endophytes in wheat grains and Daqu quality parameters, including starch content (r = 0.45; p < 0.01), saccharifying activity (r = 0.41), liquefying activity (r = 0.31), and esterifying activity (r = 0.30) (p < 0.05). Spearman correlation analysis indicated that Nesterenkonia, Aspergillus, Cryptococcus, Dioszegia, Golubevia, Udeniomyces and Stemphylium are the dominant wheat-derived bacterial genera associated with the abundance of microorganisms in MT-Daqu. This study elucidated the “cultivation environment–grain endophyte–Daqu microorganism” microbial transmission pathway, providing a theoretical foundation for breeding wheat varieties optimized for Daqu production and identifying suitable production regions. Full article

Soil salinization threatens global agriculture, reducing crop productivity and food security. Developing strategies to improve salt tolerance is crucial for sustainable agriculture. This study examines the role of organic fertilizer in mitigating salt stress in rice (Oryza sativa L.) by integrating NDVI and metabolomics. Using salt-sensitive (19X) and salt-tolerant (HHZ) cultivars, we aimed to (1) evaluate changes in NDVI and metabolite content under salt stress, (2) assess the regulatory effects of organic fertilizer, and (3) identify key metabolites involved in stress response and fertilizer-induced regulation. Under salt stress, survival rate of the 19X plants dropped to 6%, while HHZ maintained 38%, with organic fertilizer increasing survival rate to 25% in 19X and 66% in HHZ. NDVI values declined sharply in 19X (from 0.56 to <0.25) but remained stable in HHZ (~0.56), showing a strong correlation with survival rate (R² = 0.87, p < 0.01). NDVI provided a dynamic, non-destructive assessment of rice health, offering a faster and more precise evaluation of salt tolerance than survival rate analysis. Metabolomic analysis identified 12 key salt-tolerant metabolites, including citric acid, which is well recognized for regulating salt tolerance. HTPA, pipecolic acid, maleamic acid, and myristoleic acid have previously been reported but require further study. Additionally, seven novel salt-tolerant metabolites—tridecylic acid, propentofylline, octadeca penten-3-one, 14,16-dihydroxy-benzoxacyclotetradecine-dione, cyclopentadecanolide, HpODE, and (±)8,9-DiHETE—were discovered, warranting further investigation. Organic fertilizer alleviated salt stress through distinct metabolic mechanisms in each cultivar. In 19X, it enhanced antioxidant defenses and energy metabolism, mitigating oxidative damage and improving fatty acid metabolism. In contrast, HHZ primarily benefitted from improved membrane stability and ion homeostasis, reducing lipid peroxidation and oxidative stress. These findings primarily support the identification and screening of salt-tolerant rice cultivars while also highlighting the need for cultivar-specific fertilization strategies to optimize stress resilience and crop performance. Based on the correlation analysis, 26 out of 53 differential metabolites were significantly correlated with NDVI, confirming a strong association between NDVI shifts and key metabolic changes in response to salt stress and organic fertilizer application. By integrating NDVI and metabolomics, this study provides a refined method for evaluating salt stress responses, capturing early NDVI changes and key salinity stress biomarkers. This approach may prove valuable for application in salt-tolerant variety screening, precision agriculture, and sustainable farming, contributing to scientific strategies for future crop improvement and agricultural resilience. Full article

Rising energy costs and a desire for sustainability have led municipalities to implement measures such as reducing artificial public lighting at night (ALAN). However, under pressure from residents, some municipalities are being forced to reverse their decision. Although important, the social relationship of individuals to public lighting and its impact on decisions to reduce or modify is still little considered. This study examines how residents of a municipality in southern France perceive a policy of reducing artificial night lighting from 1 a.m. to 5 a.m. A survey of 91 participants was used to assess their understanding of the positive (safety, nightlife…) and negative (effects on biodiversity, health…) impacts of ALAN, their attitudes towards the measure, and their opinions regarding its extension. The results indicate that participants who recognise the negative impacts of ALAN are more inclined to support its reduction (r = 0.56, p < 0.001; ß = 0.44, t = 3.12, p = 0.003), while those who appreciate its positive impacts are more reluctant to accept the measure (r = −0.57, p < 0.001; ß = −0.70, t = −5.30, p < 0.001). Hierarchical regression analysis revealed that specific attitudes towards these lighting-off measures were the main predictor of support for the policy (ß = 0.60, t = 6.70, p < 0.001) than general beliefs about the impacts of lighting. These results suggest that implementing such policies requires balancing ecological considerations with social expectations and building trust between local authorities and residents to improve public acceptance of lighting strategies. This study contributes to the still scarce research on the positioning of individuals in real projects to reduce or even switch off lighting and demonstrates the value of studying the relationship between individuals and policies to reduce public lighting. Full article

MicroRNA-155-3p (miR-155-3p) is an important biomarker in various pathological conditions, including cancer, making the development of sensitive and specific detection methods crucial. Here, we present a molecular beacon (MB-G4) that underwent a conformational switch upon hybridization with miR-155-3p, enabling the formation of a G-quadruplex (G4) structure. This G4 was recognized by the fluorogenic ligand N-methyl mesoporphyrin IX (NMM), producing a fluorescence signal proportional to the target concentration, making it a new detection method. The conformational dynamics of MB-G4 were characterized through circular dichroism (CD) spectroscopy and native polyacrylamide gel electrophoresis (PAGE), confirming the transition from a hairpin structure to an RNA–DNA hybrid duplex that facilitated G4 formation. The optimization of the experimental conditions, including the potassium chloride (KCl) and NMM concentrations, ensured selective detection with minimal background signal. The detection limit (LOD) was determined to be 10.85 nM, using a linear fluorescence response curve, and the specificity studies demonstrated a clear distinction between miR-155-3p and miR-155-5p. Furthermore, MB-G4 was studied with total RNA extracted from the lung cancer cell line A549 to evaluate its detection in a more complex environment and was able to detect its target, validating its potential for biological sample analysis. Full article

Barley sprouts, rich in bioactive compounds, have gained attention as functional food ingredients because of their antioxidant potential. This study evaluated their bioactive composition and antioxidant capacity, focusing on the saponarin, chlorophyll, policosanol, total polyphenol (TP), and total flavonoid (TF) contents. The antioxidant capacity was assessed using 2,2-diphenyl-1-picrylhydrazyl (DPPH), 2,2′-azino-bis(3-ethylbenzothiazoline-6-sulfonic acid) (ABTS), and ferric-reducing antioxidant power (FRAP) assays. The results showed that barley sprouts contained 8.14 ± 0.02 mg/g of saponarin, 15.36 ± 0.18 mg/g of total chlorophyll, 396.99 mg/100 g of policosanols, 12.64 ± 0.04 mg of gallic acid equivalent (GAE)/g, and 5.99 ± 0.09 mg of rutin equivalent (RE)/g. The half-maximal inhibitory concentration (IC₅₀) values exhibited the trend FRAP > DPPH > ABTS. Significant correlations (R > 0.891, p < 0.05) were observed between the antioxidant assays and TP and TF contents, indicating their substantial role in the antioxidant properties of barley sprout extracts. These findings suggest that barley sprouts are a valuable natural source of antioxidants for functional food applications. Nevertheless, additional in vivo and clinical research is necessary to improve their bioavailability and expand their potential use in food formulations. Full article

One of the key modeling procedures is model verification, which ensures its reliability and confidence. In many respects, the length of the crown is an interesting biophysical property. Precise determination of crown length can be one of the components used in estimating the mass of needles or leaf area index (LAI), and consequently the amount of transpiration or the amount of carbon dioxide bound, which is crucial in the context of climate change. The objective of this study was to calculate the length of the crown Pinus sylvestris using an allometric model and to compare these results with the actual ones to establish the degree of discrepancy. The model that was tested was based on three predictor variables, i.e., diameter at breast height, tree height, and stand density index. The verification was carried out using empirical data collected for 300 sample trees on 20 experimental plots located in south-western Poland. All the stands were pine monocultures located in the habitats of fresh or mixed fresh forest aged from 28 to 40 years. The studied stands differed in terms of diameter at breast height, height, and density (0.68–1.81). The comparison between empirical (${CL}_{emp}$) and calculated (${CL}_{cal}$) mean crown lengths in the stand using the model was expressed by the correlation coefficient’, which was R = 0.955, with a divergence (±) of 4.57%. The tested model is dedicated to calculating the length of tree crowns at the population level. The model uses a density index, which is a constant value for all trees within the area. Further work is needed to improve the model and allow for precise calculation of the crown length of a single tree, taking into account the space it has at its disposal. Full article

Rotavirus alphagastroenteritidis is the leading cause of acute gastroenteritis worldwide in young humans and animals. In 2023–2024, a relatively high rotavirus detection rate (34.5%) was detected in children with diarrhea in Caracas. All rotavirus strains were typed as P[8], using a multiplex RT-PCR assay, while the G-type was not identified. This unusual pattern, not previously observed in Venezuela, prompted the VP7 gene sequencing of nineteen strains, which displayed a high sequence identity (99.3–100%) compatible with the G3 genotype. These strains clustered into a well-supported lineage IX encompassing human reassortants of equine-like G3P[8] strains described elsewhere, showing a very close genetic relationship (99.0–99.9%). Old G3 rotavirus isolates obtained from diarrheic samples in the past were included in the analysis and grouped into lineage I together with ancestral reference G3 strains. The novel G3P[8]s carry amino acid changes in VP7-neutralizing epitopes, compared with the RotaTeq-WI78-8-vaccine strain. Full genome sequencing of a representative strain revealed a genotype constellation including an equine-like G3P[8] in a DS-1-like backbone (I2–R2–C2–M2–A2–N2–T2–E2–H2), confirming the role of animal strains as a source of diversification, and the importance of unceasingly revising molecular typing strategies and vaccine efficacy to guarantee their success. Full article

Background and Aims: Crohn’s disease (CD) is a chronic inflammatory bowel disease (IBD) with a globally increasing prevalence, partially driven by alterations in gut microbiota. Although biological therapy is the first-line treatment for CD, a significant proportion of patients experience a primary non-response or secondary loss of response over time. This study aimed to explore the differences in gut microbiota among CD patients with divergent long-term responses to biological therapy, focusing on a long disease course. Methods: Sixteen CD patients who applied the biological agents for a while were enrolled in this study and were followed for one year, during which fecal specimens were collected monthly. Metagenomic analysis was used to determine the microbiota profiles in fecal samples. The response to biological therapy was evaluated both endoscopically and clinically. Patients were categorized into three groups based on their response: R (long-term remission), mA (mild active), and R2A group (remission to active). The differences in the gut microbiota among the groups were analyzed. Results: Significant differences in fecal bacterial composition were observed between the groups. The R2A group exhibited a notable decline in gut microbial diversity compared to the other two groups (p < 0.05). Patients in the R group had higher abundances of Akkermansia muciniphila, Bifidobacterium adolescentis, and Megasphaera elsdenii. In contrast, Veillonella parvula, Veillonella atypica, and Klebsiella pneumoniae were higher in the R2A group. Conclusions: Gut microbial diversity and specific bacterial significantly differed among groups, reflecting distinct characteristics between responders and non-responders. Full article

Objective: The present study explored the association between the losses incurred due to breast cancer diagnosis, symptoms of depression, PANIC/GRIEF, and contextual factors within the context of Hispanic/Latina (H/L) patients diagnosed with breast cancer (BC). Methods: This study was a cross-sectional study of adult H/L BC patients (n = 129). The participants were H/L women diagnosed with breast cancer (stages 0–4) in the past five years. Sociodemographic variables were assessed, as well as depression symptoms (Patient Health Questionnaire-9; Spanish version), grief (The Affective Neuroscience Personality Scales, Grief subscale; Spanish version), and general losses (Grief diagnostic instrument for general practice, loss categories section). Results: The mean age for the sample was 55.37 (SD = 11.57). The most frequent non-death-related losses were loss of liberty (f = 63, p = 48.8%), followed by fear of own death (f = 67, p = 51.9%) and loss of quality of life (f = 65, p = 50.4%). A higher mean rank was observed in depressive symptomatology scores for those who experienced loss of liberty (U = 73.91, p < 0.008), quality of life (U = 77.30, p < 0.001), and fear of their own death (U = 74.88, p < 0.002). The results indicate a significant positive relationship between the number of reported losses and depressive symptomatology (r = 0.340, p < 0.001). In terms of contextual factors, the participants who reported their income not being enough to cover their expenses reported a greater number of losses related to diagnosis (U = 74.67, p < 0.001) and more depressive symptomatology (U = 69.84, p = 0.041). Moreover, a relationship was observed between grief and academic levels (r = −0.234, p = 0.008). Likewise, a relationship was observed between age and the number of losses (r = −0.461, p < 0.001). Conclusions: Our results provide new evidence on how primary non-death-related losses due to a breast cancer diagnosis impact the mental health of H/L BC patients. Full article

This paper focuses on studying the generalized Marcinkiewicz integral operators with mixed homogeneity over symmetric spaces. By making an appropriate decomposition of the aforementioned operators and tracking certain estimates, the boundedness of these operators is established from the homogeneous Triebel–Lizorkin space ${\stackrel{.}{F}}_p^{0,\tau }\left({\mathbb{R}}^d\right)$ to the $L^p\left({\mathbb{R}}^d\right)$ space for all $p,\tau \in ({\displaystyle \frac{2+2\alpha }{1+2\alpha }},2\alpha +2)$ provided that the kernel functions belong to the Grafakos–Stefanov class. The main results generalize and improve some previously known results on Marcinkiewicz and generalized Marcinkiewicz operators. Full article

Bridges are critical components of modern infrastructure, yet their long-term performance is often compromised by thermal stresses induced by environmental and material factors. Despite advances in remote sensing, characterizing the complex thermal dynamics of bridge structures remains challenging. In this study, we investigate the seasonal and diurnal thermal behavior of two common bridge types—a water channel bridge with paving stone surfacing and a highway bridge with asphalt surfacing—using high-resolution UAV thermography. A pre-designed photogrammetric flight plan (yielding a ground sampling distance of <5 cm) was implemented to acquire thermal and visual imagery during four distinct temporal windows (winter morning, winter evening, summer morning, and summer evening). The methodology involved generating thermal orthophotos via structure-from-motion techniques, extracting systematic temperature measurements ($n=150$ per bridge), and analyzing these using independent-samples and paired t-tests to quantify material-specific thermal responses and environmental coupling effects. The results reveal that the water channel bridge exhibited significantly lower thermal variability (1.54–3.48 °C) compared to the highway bridge (3.27–5.66 °C), with pronounced differences during winter mornings (Cohen’s $d=2.03$, $p<0.001$). Furthermore, material properties strongly modulated thermal dynamics, as evidenced by the significant temperature differentials between the paving stone and asphalt surfaces, while ambient conditions further influence surface–ambient coupling ($r=0.961$ vs. $0.975$). The results provide UAV-based quantitative metrics for bridge thermal assessment and empirical evidence to support the temporal monitoring of bridges with varying materials and environmental conditions for future studies. Full article

Accurate quantification of the citrus dropped number plays a vital role in evaluating the disaster resistance capabilities of citrus varieties and selecting superior cultivars. However, research in this critical area remains notably insufficient. To bridge this gap, we conducted in-depth experiments using a custom dataset of 1200 citrus images and proposed a lightweight YOLO-MECD model that is built upon the YOLOv11s architecture. Firstly, the EMA attention mechanism was introduced as a replacement for the traditional C2PSA attention mechanism. This modification not only enhances feature extraction capabilities and detection accuracy for citrus fruits but also achieves a significant reduction in model parameters. Secondly, we implemented a CSPPC module based on partial convolution to replace the original C3K2 module, effectively reducing both parameter count and computational complexity while maintaining mAP values. At last, the MPDIoU loss function was employed, resulting in improved bounding box detection accuracy and accelerated model convergence. Notably, our research reveals that reducing convolution operations in the backbone architecture substantially enhances small object detection capabilities and significantly decreases model parameters, proving more effective than the addition of small object detection heads. The experimental results and comparative analysis with similar network models indicate that the YOLO-MECD model has achieved significant improvements in both detection performance and computational efficiency. This model demonstrates excellent comprehensive performance in citrus object detection tasks, with a precision (P) of 84.4%, a recall rate (R) of 73.3%, and an elevated mean average precision (mAP) of 81.6%. Compared to the baseline, YOLO-MECD has improved by 0.2, 4.1, and 3.9 percentage points in detection precision, recall rate, and mAP value, respectively. Furthermore, the number of model parameters has been substantially reduced from 9,413,574 in YOLOv11s to 2,297,334 (a decrease of 75.6%), and the model size has been compressed from 18.2 MB to 4.66 MB (a reduction of 74.4%). Moreover, YOLO-MECD also demonstrates superior performance against contemporary models, with mAP improvements of 3.8%, 3.2%, and 5.5% compared to YOLOv8s, YOLOv9s, and YOLOv10s, respectively. The model’s versatility is evidenced by its excellent detection performance across various citrus fruits, including pomelos and kumquats. These achievements establish YOLO-MECD as a robust technical foundation for advancing citrus fruit detection systems and the development of smart orchards. Full article

Let $\mathcal{R}={\displaystyle \frac{{\mathbb{F}}_{p^m}[u,v]}{⟨u^2,v^2,uv-vu⟩}}$, where p is an odd prime and m is a positive integer. For a unit $\alpha$ in $\mathcal{R}$, $\alpha$-constacyclic codes of length $2p^s$ over $\mathcal{R}$ are ideals of ${\displaystyle \frac{\mathcal{R}\left[x\right]}{⟨x^{2p^s}-\alpha ⟩}}$, where s is a positive integer. The structure of $\alpha$-constacyclic codes are classified on the distinct cases for the unit $\alpha$: when $\alpha$ is a square in $\mathcal{R}$ and when it is not. In this paper, for all such $\alpha$-constacyclic codes, the Hamming distances are determined using this structure. In addition, their symbol-pair distances are obtained. The symmetry property of Hamming and symbol-pair distances makes analysis easier and maintains consistency by guaranteeing that the distance between codewords is the same regardless of their order. As symmetry preserves invariant distance features across transformations, it improves error detection and correction. Full article

Yunnan Province, as a critical ecological security barrier in China, has long been highly susceptible to drought events. Characterizing the spatiotemporal distributions of drought and identifying its driving factors is crucial. Due to the complexity of drought occurrence, linear correlation analysis alone is insufficient to quantify drought drivers and their interactions. This study used the Standardized Precipitation Evapotranspiration Index (SPEI) as a drought indicator to analyze the spatiotemporal trends of drought across Yunnan and its six major river basins. The geographic detector model (GDM) and random forest (RF) were utilized to quantify the impacts of meteorological, topographical, soil, and human activities on drought, as well as the interactions among these factors. The results showed that 63.61% of the study area exhibits a significant drying trend (p-value < 0.05), with the Jinsha River Basin (JSRB) experiencing the highest frequency of extreme drought events. Precipitation (PRE), temperature, potential evapotranspiration (PET), vapor pressure deficit (VPD), and relative humidity (RH) were identified as the primary controlling factors of drought, with factor interactions displaying nonlinear enhancement effects. PRE plays a dominant role in driving drought across Yunnan, whereas elevation primarily influenced drought severity in the JSRB, Lancang River Basin (LCRB), and Nujiang River Basin (NJRB). The RF-based SPEI prediction model demonstrated superior performance in simulating short-term drought (SPEI_1, R² > 0.931, RMSE < 0.279), particularly in the JSRB (R² = 0.947 RMSE = 0.228). These findings provide a scientific basis for regional water resource management applications and drought early warning systems, offering a robust framework for understanding and mitigating drought impacts in ecologically sensitive regions. Full article