Search Results (23,356)

The poultry industry struggles with oxidative stress affecting gut health and productivity. This study examined using 1-Deoxynojirimycin (DNJ) extracts from mulberry leaves as an antioxidant in broilers feed to combat this issue. We divided 240 broilers, aged 16 days, into six groups, including a control and groups exposed to oxidative stress through H₂O₂ injections, with different supplement levels of DNJ-E (40, 80, 120, and 160 mg/kg of the basal diet) lasting until the broilers reached 42 days old. We evaluated intestinal morphology, ultrastructure, oxidative stress markers, the tight junction, and inflammatory cytokines. Adding 40 mg/kg DNJ-E improved villus height, the villus-to-crypt ratio, and cellular ultrastructure, and increased SOD levels in the jejunum and ileum, as well as CAT levels in the duodenum and jejunum (p < 0.05), compared to the H₂O₂ group. The addition of DNJ had differential effects on oxidative stress, the intestinal barrier, and immune-related genes. Importantly, the dosages of 40 mg/kg and 80 mg/kg resulted in an upregulation of MUC2 mRNA expression (p < 0.05). These findings suggest that DNJ-E holds potential as a beneficial feed additive for enhancing broiler health, particularly at supplementation levels below 80 mg/kg, as higher concentrations may negatively influence intestinal health. Future investigations should aim to elucidate the underlying mechanisms through which DNJ-E operates within the avian gastrointestinal system. Full article

Infantile haemangiomas (IHs) affect 3–10% of infants, 10% of whom need topical or systemic beta-blocker therapy. Propranolol is the first choice for IHs with a high risk of complications. Since more than half of IHs leave a permanent mark, to reduce outcomes, it is essential to start oral propranolol (2–3 mg/kg/day in 2 doses/day) within the 5th month of life (i.e., during the proliferative phase) and to complete the therapy cycle for at least 6 months. This review aims to summarise the epidemiology, clinical presentation, diagnosis, and treatment of IHs and to highlight the importance of proper referral to specialised hub centres. Patients with vascular anomalies, particularly those suspected of having IH, should be referred to a specialised centre for accurate diagnosis, management by a multidisciplinary team, and timely treatment. IHs may pose life-threatening, functional, and aesthetic risks or may ulcerate. Segmental infantile haemangioma of the face/neck and the lumbosacral regions can be associated with various malformations. To ensure timely specialist evaluation and treatment to reduce the potential risk of complications, it is essential to identify high-risk IHs rapidly. The Infantile Haemangioma Referral Score (IHReS) scale is an important tool to assist primary care paediatricians and general dermatologists. Full article

The quantitative inversion of the leaf area index (LAI) of green plum trees is crucial for orchard field management and yield prediction. The data on the relative content of chlorophyll (SPAD) in leaves and environmental data from orchards show a significant correlation with LAI. Effectively integrating these two data types for LAI inversion is important to explore. This study proposes a multi−source decision fusion LAI inversion model for green plums based on their adjusted determination coefficient (MDF−ADRS). First, three statistical methods—Pearson, Spearman rank, and Kendall rank correlation analyses—were used to measure the linear relationships between variables, and the six environmental factors most highly correlated with LAI were selected from the orchard’s environmental data. Then, using multivariate statistical analysis methods, LAI inversion models based on environmental feature factors (EFs−PM) and SPAD (SPAD−PM) were established. Finally, a weight optimization allocation strategy was employed to achieve a multi−source decision fusion LAI inversion model for green plums. This strategy adaptively allocates weights based on the predictive performance of each data source. Unlike traditional models that rely on fixed weights or a single data source, this approach allows the model to increase the influence of a key data source when its predictive strength is high and reduce noise interference when it is weaker. This dynamic adjustment not only enhances the model’s robustness under varying environmental conditions but also effectively mitigates potential biases when a particular data source becomes temporarily unreliable. Our experimental results show that the MDF−ADRS model achieves an $R^2$ of 0.88 and an $RMSE$ of 0.39 in the validation set, outperforming other fusion methods. Compared to the EFs−PM and SPAD−PM models, the $R^2$ increased by 0.19 and 0.26, respectively, and the $RMSE$ decreased by 0.16 and 0.22. This model effectively integrates multiple sources of data from green plum orchards, enabling rapid inversion and improving the accuracy of green plum LAI estimation, providing a technical reference for monitoring the growth and managing the production of green plums. Full article

The genus Ephedra Tourn. ex L. (Ephedraceae) is an important source with pharmacological and environmental potential. Conversely, Ephedra spp. still exhibit taxonomic complexity, especially for the specimens lacking reproductive cones. This complexity is attributed to its xeromorphic features, notably the reduced leaves and analogous assimilating branches, which make the species identification a real challenge. The current study provides a pioneering approach to distinguish fragments of Ephedra species at the gender level. This study was based on the stem anatomy and stem epidermal features using a light microscope for five species (E. alata Decne., E. aphylla Forssk., E. ciliata Fisch. & C.A.Mey., E. foeminea Forssk. and E. Ephedra pachyclada Boiss.) represented by ten genders collected from S. Sinai, Egypt. Anomocytic and brachyparacytic stomata, tanniniferous idioblasts, annual rings, a terete and furrowed outline, the number and width of tracheids, patches of cortical fibers, unicellular trichomes, druses, solitary crystals, and the activity of interfascicular cambium were among the distinguishing features that were found. Different statistical analyses were applied to explore the diversity at interspecific and intra-generic levels. This study revealed that the stem anatomy was not only an efficient tool for identifying the investigated five Ephedra species at the species level but also presented a differential key to distinguish between genders and species. In addition, our results indicated that the epidermal features played a critical role in differentiating the studied Ephedra species at the gender level. This study confirms the efficacy of stem anatomy as an identification approach for the Ephedra species at the gender level and recommends this approach to identify the fragmented Ephedra for taxonomical, pharmaceutical, and medical applications. Full article

: Pigeon pea (Cajanus cajan (L.) Millsp.) is a traditional Chinese medicinal plant widely utilized in folk medicine due to its significant pharmacological and nutritional properties. Cajaninstilbene acid (CSA), a stilbene compound derived from pigeon pea leaves, has been extensively investigated since the 1980s. A thorough understanding of CSA’s mechanisms of action and its therapeutic effects on various diseases is crucial for developing novel therapeutic approaches. This paper presents an overview of recent research advancements concerning the biological activities and mechanisms of CSA and its derivatives up to February 2024. The review encompasses discussions on the in vivo metabolism of CSA and its derivatives, including antipathogenic micro-organisms activity, anti-tumor activity, systematic and organ protection activity (such as bone protection, cardiovascular protection, neuroprotection), anti-inflammatory activity, antioxidant activity, immune regulation as well as action mechanism of CSA and its derivatives. The most studied activities are antipathogenic micro-organisms activities. Additionally, the structure–activity relationships of CSA and its derivatives as well as the total synthesis of CSA are explored, highlighting the potential for developing new pharmaceutical agents. This review aims to provide a foundation for future clinical applications of CSA and its derivatives. Full article

Berberine is a natural substance obtained from the roots of common barberry which, due to its strong pharmacological activity, is a commonly tested ingredient of dietary supplements. However, ornamental barberries, which are widely available, have not been considered as a source of berberine so far. The research aimed to check whether the ornamental barberry leaves and twigs could be used as an easily accessible raw material for obtaining natural berberine-rich extract with biological activity. Twigs and leaves of seven cultivars of ornamental barberry extracts were assessed for their polyphenol content, antioxidant potential (FRAP and DPPH), and berberine content using high-performance thin layer chromatography (HPTLC). As a reference, commercially available roots of Berberis vulgaris were used. For the next step, selected extracts (two with high and two with low berberine content) were tested on three cell lines (HaCaT, A375, Caco-2) using neutral red assay, and pure berberine sulfate (1–100 μg mL⁻¹) was used as a control. Although the antioxidant potential of aqueous–methanol extracts of tested barberry was higher for the leaves than for the twigs, the berberine content was determined only in the twig extracts (from 42 to 676 mg 100 g⁻¹). Studies on cell lines have shown the general toxicity of barberry extracts, but the observed effect was not directly correlated with the content of the alkaloid. However, the extract showed greater activity compared to an analogous dose of pure berberine, suggesting a significant effect of the matrix composition. For the first time, it was shown that the twigs of selected cultivars of ornamental barberry can be considered as a promising berberine source for the pharmaceutical industry to develop new effective formulations. However, these findings require further studies. Full article

Background: The use of antimicrobials to treat food animals leaves antimicrobial residues in foodstuffs. The World Health Organization (WHO) defines the acceptable daily intakes (ADIs) of these residues as the dose of these antimicrobials that is safe for an average human to consume on a daily basis. We hypothesized that the lowest dose of ciprofloxacin classified as safe by the WHO could select for ciprofloxacin-resistant strains of Klebsiella pneumoniae in a Galleria mellonella model. Objectives: We aimed to evaluate if the consumption of peri-ADI doses of ciprofloxacin could select for ciprofloxacin-resistant (Ser464Phe, GyrB, ciprofloxacin MIC of 4 µg/mL) compared to -susceptible (isogenic, ciprofloxacin MIC of 0.047 µg/mL) strains of K. pneumoniae in a Galleria mellonella model. Results: A significant increase was seen in the proportion of resistance for the 1× ADI and 1/10th ADI concentrations on day 2 compared to the positive control. Methods: A model of K. pneumoniae infection in G. mellonella larvae was used for the experiment. The larvae were inoculated with K. pneumoniae followed by 10× ADI, 1× ADI, 1/10th ADI, 1/100th ADI, and 1/1000th ADI doses of ciprofloxacin. The isolation of K. pneumoniae colonies was then performed on selective agar plates with and without ciprofloxacin (1 µg/mL). The proportion of colonies with ciprofloxacin resistance was then calculated for each group at 24 and 48 h. Conclusions: We found that, at 48 h, there was an enrichment of K. pneumoniae colonies with ciprofloxacin resistance in the larvae receiving 1× ADI and 1/10th ADI concentrations of ciprofloxacin. These results suggest that the ciprofloxacin MSC_select for K. pneumoniae in this model is 1/10th of the acceptable daily concentration (ADI) dose of ciprofloxacin, which is equivalent to 0.239 ng/µL. Full article

Background: Rhododendron is a globally distributed and extensive genus, comprising over 1000 species. In the southwestern mountains of China, there exists a remarkable diversity of Rhododendron, with Yunnan Province alone harboring more than 600 species. R. decorum Franch. has long been utilized by local communities for its medicinal and edible properties. However, the transcriptional regulation function, medicinal properties, and edibility characteristics of R. decorum Franch. currently lack a solid theoretical basis. Methods: Total RNA was extracted from leaves, corollas and androecium/gynoecium of R. decorum Franch. in Heqing county, followed by the construction of cDNA libraries and the de novo assembly of transcriptomes. Results: A total of 63,050 unigenes were extracted from the flowers and leaf organs of R. decorum Franch. Among these unigenes, 43,517 were predicted to be coding sequences, with 32,690 being effectively annotated. Differential gene expression enrichment was observed among different organs within their respective transcriptomes; notably floral organs exhibited significant defense against plant diseases along with signal transduction functions. Furthermore, during the flower harvesting period, all floral organs exhibited gene enrichment pathways associated with carbohydrate metabolism. Additionally, the stamen and pistil displayed flavonoid metabolism pathways, suggesting their potential applications as functional food or medicine. Conclusions: Our results shed light on plant–pathogen defense mechanisms and the molecular bias of flavonoids biosynthesis on flower organs during the flowering period, which might help to understand the consumption of R. decorum Franch. corollas by the Bai nationality of Heqing county. Full article

The end-of-life (i.e., on-farm euthanasia and culling, including fitness for transport to slaughter) of a dairy cow or calf is preceded by a series of decisions often influenced by many complex factors. The aim of this study was to utilize the opinions of experts with roles in the dairy supply chain to identify factors that influence end-of-life decision-making for dairy cattle. Twenty experts serving in supporting roles in the dairy supply chain participated in a survey containing 17 open-ended questions. Of the participants, 55% (n = 11) identified as veterinarians and the remaining 45% (n = 9) participated in other segments of the dairy supply chain. Twelve themes were identified in the qualitative analysis of survey responses. The themes included: Training and Resources, Cattle Health Management, Decision-Making Criteria, Company Culture, Personal Beliefs, Human Well-Being, Animal Welfare, Economics, Guidelines and Inspections, Consumer Perceptions, Supply Chain Considerations, and Communication. Experts indicated that training programs should address euthanasia or fitness-for-transport criteria, the knowledge of common health conditions, and information about what happens to cattle after leaving the dairy. Additional influencing factors included personal beliefs, economics, company culture, and supply chain considerations. Full article

Animal venom and plant extracts have been used since ancient times in traditional medicine worldwide. Natural components, valued for their safety and effectiveness, have been consistently used in cosmetic and pharmaceutical applications. We propose a journey along the boulevard of active compounds from natural sources, where bee venom (BV), cobra venom (CV), and Ficus carica reveal their individual therapeutic and cosmetic properties. The originality of this review lies in exploring the synergy of these bioactive sources, an approach that has not been presented in the literature. Although BV, CV, and Ficus carica have different origins and compositions, they have multiple common pharmacological and cosmetic actions, which make them ideal for inclusion in various products that can be used for skin care and health in general. Their anti-inflammatory, antioxidant, immunomodulatory, antimicrobial, neuroprotective, and regenerative properties give them an essential role in the creation of potential innovative and effective products in the pharmaceutical and cosmetics industry. Although many plant extracts have antioxidant and anti-inflammatory properties, Ficus carica was chosen due to its complex biochemical composition, which provides valuable benefits in skin regeneration and protection against oxidative stress. According to the International Nomenclature of Cosmetic Ingredients (INCI), Ficus carica is used in the form of an extract of fruits, leaves, juice, bark or stem, each having specific applicability in topical formulations; due to the diversity of bioactive compounds, it can amplify the effectiveness of BV and CV, helping to enhance their beneficial effects and reducing the risk of adverse effects, due to its well-tolerated nature. Thus, this combination of natural ingredients opens up new perspectives in the development of innovative products, optimizing efficiency and maintaining a favorable safety profile. In this context, due to the reported experimental results, the three natural sources caught our attention, and we conceived the present work, which is a review made following the analysis of the current progress in the study of the bioactive compounds present in BV, CV, and Ficus carica. We focused on the novelties regarding pharmacological and cosmetic actions presented in the literature, and we highlighted the safety profile, as well as the modern approaches regarding the delivery and transport systems of the active substances from the three natural sources, and we evaluated their prospects in therapeutic and cosmetic use. This paper not only expands our knowledge of bioactive compounds, but it can also generate new ideas and motivations for the research and development of innovative treatments and skincare methods. Full article

Aloe vera is well known for its biological properties as a bioflavonoid anti-inflammatory and antibacterial agent. It has been used frequently in the food sector as a food coating due to its hygroscopic properties and as an ingredient in the lucrative cosmetic industry. Studies have also included aloe vera as an eco-friendly green solution based on these properties. The current research focuses on the use of aloe vera gel in printing pastes as an alternative sustainable solution to synthetic thickeners, evaluating its wet performance and ease of fabric stitching, and has been inspired by studies that similarly used this substance and measured its effect on the fabric’s coefficient of friction and antimicrobial action. In the current study, printing pastes with natural colourants, such as saffron, curcumin, and annatto, and aloe vera gel thickener derived from natural leaves from Crete increased the fabric’s mechanical resistance to abrasion compared to the untreated pastes. The measured performance did not differ substantially from prints with traditional synthetic pastes, hence tolerating the substitution with the non-contaminant variant. The enhanced resistance to abrasion and wear extends the fabric’s serviceable life and resulting garments, decreasing the need for high industry processing volumes and, as a result, reducing pollution. The resistance to wear was evaluated using the dominant method in textile testing of the Martindale apparatus, which measured the cycles to failure, weight loss, and general appearance deterioration using the official photographic standards. Full article

The growing demand for consumer-end electrical load is driving the need for smarter management of power sector utilities. In today’s technologically advanced society, efficient energy usage is critical, leaving no room for waste. To prevent both electricity shortage and wastage, electrical load forecasting becomes the most convenient way out. However, the conventional and probabilistic methods are less adaptive to the acute, micro, and unusual changes in the demand trend. With the recent development of artificial intelligence (AI), machine learning (ML) has become the most popular choice due to its higher accuracy based on time-, demand-, and trend-based feature extractions. Thus, we propose an Extreme Gradient Boosting (XGBoost) regression-based model—PredXGBR-1, which employs short-term lag features to predict hourly load demand. The novelty of PredXGBR-1 lies in its focus on short-term lag autocorrelations to enhance adaptability to micro-trends and demand fluctuations. Validation across five datasets, representing electrical load in the eastern and western USA over a 20-year period, shows that PredXGBR-1 outperforms a long-term feature-based XGBoost model, PredXGBR-2, and state-of-the-art recurrent neural network (RNN) and long short-term memory (LSTM) models. Specifically, PredXGBR-1 achieves an mean absolute percentage error (MAPE) between 0.98 and 1.2% and an $R^2$ value of 0.99, significantly surpassing PredXGBR-2’s $R^2$ of 0.61 and delivering up to 86.8% improvement in MAPE compared to LSTM models. These results confirm the superior performance of PredXGBR-1 in accurately forecasting short-term load demand. Full article

Detailed three-dimensional (3D) radiative transfer models (RTMs) enable a clear understanding of the interactions between light, biochemistry, and canopy structure, but they are rarely explicitly evaluated due to the availability of 3D canopy structure data, leading to a lack of knowledge on how canopy structure/leaf characteristics affect radiative transfer processes within forest ecosystems. In this study, the newly released 3D RTM Eradiate was extensively evaluated based on both virtual scenes reconstructed using the quantitative structure model (QSM) by adding leaves to point clouds generated from terrestrial laser scanning (TLS) data, and real scenes monitored by Sentinel-2 in a typical temperate deciduous forest. The effects of structural parameters on reflectance were investigated through sensitivity analysis, and the performance of the 3D model was compared with the 5-Scale and PROSAIL radiative transfer models. The results showed that the Eradiate-simulated reflectance achieved good agreement with the Sentinel-2 reflectance, especially in the visible and near-infrared spectral regions. Furthermore, the simulated reflectance, particularly in the blue and shortwave infrared spectral bands, was clearly shown to be influenced by canopy structure using the Eradiate model. This study demonstrated that the Eradiate RTM, based on the 3D explicit representation, is capable of providing accurate radiative transfer simulations in the temperate deciduous forest and hence provides a basis for understanding tree interactions and their effects on ecosystem structure and functions. Full article

Agriculture is dealing with numerous challenges of increasing production while decreasing the amount of chemicals and fertilizers used. The intensification of agricultural systems has been linked to the use of these inputs which nevertheless have negative consequences for the environment. With new technologies, and progress in precision agriculture associated with decision support systems for farmers, the objective is to optimize their use. This review focused on the progress made in utilizing machine learning and remote sensing to detect and identify crop diseases that may help farmers to (i) choose the right treatment, the most adapted to a particular disease, (ii) treat diseases at early stages of contamination, and (iii) maybe in the future treat only where it is necessary or economically profitable. The state of the art has shown significant progress in the detection and identification of disease at the leaf scale in most of the cultivated species, but less progress is done in the detection of diseases at the field scale where the environment is complex and applied only in some field crops. Full article

Dittrichia viscosa is a ruderal plant species growing along roadsides and well adapting to extreme environmental conditions. D. viscosa plant tissues, especially leaves, are known to be a rich source of bioactive metabolites which have antioxidant, cytotoxic, antiproliferative and anticancer properties. Hairy root cultures are a suitable biotechnological system for investigating plant metabolic pathways and producing specialized metabolites in in vitro conditions. In this study, D. viscosa hairy root transformed lines induced by Agrobacterium rhizogenes ATCC15834 were obtained using leaf explants, and the integration of rolB and rolC genes in the genomes of transformed hairy roots were confirmed by PCR analysis. Three hairy root D. viscosa lines (DvHrT1, DvHrT4 and DvHrT5) having different phenotypic features were characterized in terms of total phenolics, flavonoids and antioxidant activity. Correlated with antioxidant activity, phenolic and flavonoid content of DvHrT1 was significantly higher than control roots and the other DvHrT lines. Our results suggest that D. viscosa hairy roots can be a valuable tool for producing various bioactive compounds having antioxidant activity and are to be further investigated to produce other specific molecules that could find application in agricultural or pharmaceutical fields. Full article