Search Results (14,520)

Mastitis, an inflammatory disease caused by the invasion of various pathogenic microorganisms into mammary gland tissue, is a core health issue plaguing the global dairy industry. The consequences of this disease are manifold. In addition to directly compromising the health and welfare of dairy cows, it also precipitates a substantial decline in lactation function, a precipitous drop in raw milk production, and alterations in milk composition (e.g., increased somatic cell counts and imbalanced ratios of milk protein to fat). These changes result in a marked degradation of milk quality and safety, and in turn, engender significant economic losses for the livestock industry. Therefore, the establishment and implementation of a comprehensive prevention and control system is a key strategy to effectively curb the occurrence of mastitis, reduce its incidence rate, and minimise economic losses. This review systematically explores the complex etiological factors and pathogenic mechanisms of mastitis in dairy cows, and summarises various diagnostic methods, including milk apparent indicators monitoring, pathogen detection, physiological parameter monitoring, omics technologies, and emerging technologies. Furthermore, it undertakes an analysis of treatment protocols for mastitis in dairy cows, with a particular emphasis on the significance of rational antibiotic use and alternative therapies. Moreover, it delineates preventive measures encompassing both environmental and hygiene management, and dairy cow health management. The objective of this paper is to provide a comprehensive and scientific theoretical basis and practical guidance for dairy farming practices. This will help to improve the health of dairy cows, ensure a stable supply of high-quality dairy products, and promote the sustainable and healthy development of the dairy farming industry. Full article

Slope stability monitoring in open-pit mining remains a critical challenge for geological hazard prevention, where conventional qualitative methods often fail to address dynamic risks. This study proposes an integrated framework combining empirical modeling (slope classification, hazard assessment, and safety ratings) with multi-source real-time monitoring (synthetic aperture radar, machine vision, and Global Navigation Satellite System) to achieve quantitative stability analysis. The method establishes an initial stability baseline through mechanical modeling (Bishop/Morgenstern–Price methods, safety factors: 1.35–1.75 across five mine zones) and dynamically refines it via 3D terrain displacement tracking (0.02 m to 0.16 m average cumulative displacement, 1 h sampling). Key innovations include the following: (1) a convex hull-displacement dual-criterion algorithm for automated sensitive zone identification, reducing computational costs by ~40%; (2) Ku-band synthetic aperture radar subsurface imaging coupled with a Global Navigation Satellite System and vision for centimeter-scale 3D modeling; and (3) a closed-loop feedback mechanism between empirical and real-time data. Field validation at a 140 m high phosphate mine slope demonstrated robust performance under extreme conditions. The framework advances slope risk management by enabling proactive, data-driven decision-making while maintaining compliance with safety standards. Full article

Antimicrobial resistance (AMR) poses an increasing threat to public health, with wildlife recognized as reservoirs and vectors of resistant bacteria. However, the role of wild species in the ecology of AMR remains insufficiently understood, highlighting the need to investigate resistant bacteria in these animals. This study focused on detecting and characterizing Escherichia coli obtained from 43 fecal samples of white storks (Ciconia ciconia), cattle egrets (Bubulcus ibis), and European hedgehogs (Erinaceus europaeus) admitted to a wildlife rehabilitation center in Portugal. Resistance profiles to twelve antibiotics and six virulence factors were characterized phenotypically. ESBL production was also tested. A total of 79 E. coli isolates were obtained from 39 out of 43 samples, and 75 were selected for further characterization. All isolates tested negative for ESBL production. Approximately 64% (n = 48/75) of isolates were resistant to at least one antibiotic, and 5.3% (n = 4/75) were multidrug-resistant. Most frequent resistances were to ampicillin (36%, n = 27/75), tetracycline (12%, n = 9/75), and chloramphenicol (8%), while all isolates were susceptible to meropenem, aztreonam, and third-generation cephalosporins. Most isolates (81.3%, n = 61/75) lacked virulence factors. These findings suggest that wildlife may act as a reservoir of resistant strains, emphasizing importance of AMR monitoring and the One Health approach. Full article

Background/Objectives: The success of artificial reproductive technologies (ARTs) depends on different factors, such as patient-specific reproductive features, ovarian response to stimulation, oocyte and embryo quality, and endometrial receptivity. This study aimed to evaluate their association with oocyte yield, fertilization, endometrial thickness, and pregnancy outcomes. Methods: A prospective clinical study included 128 women undergoing IVF/ICSI. Baseline hormone levels (E2, P4, FSH, LH, AMH) were assessed prior to stimulation. E2 levels were monitored during stimulation, and P4 was measured on the day of oocyte retrieval. Patients were grouped based on P4 levels (<2 ng/mL vs. ≥2 ng/mL). IVF outcomes and endometrial characteristics were statistically analyzed. Results: Lower P4 levels (<2 ng/mL) on the day of oocyte retrieval were significantly associated with higher fertilization rates (p < 0.003), more fertilized oocytes (p < 0.001), and increased pregnancy rates (p < 0.001). Elevated P4 (≥2 ng/mL) correlated with a higher frequency of thin endometrium (<7 mm, p < 0.007). E2 levels on the hCG trigger day correlated positively with the number of retrieved and mature oocytes and fertilization outcomes (p < 0.05). Patients who achieved pregnancy had lower P4 and BMI, and higher E2, AMH, and endometrial thickness. ROC identified a P4 threshold of 1.99 ng/mL with moderate predictive value. Conclusions: Elevated progesterone levels on the day of oocyte retrieval negatively impact fertilization and pregnancy outcomes, likely due to impaired endometrial receptivity. Combined assessment of P4, E2, AMH, and endometrial thickness may enhance embryo transfer planning and improve IVF success rates. Full article

Micro-pulse photon-counting LiDAR has difficulty accurately extracting geophysical information in strong-noise environments, with solar noise interference being a key limiting factor. This study proposes a hierarchical coarse-to-fine denoising framework, combining grid-based pre-filtering with an optimized horizontal and vertical recursive division method using Otsu’s method to achieve high time efficiency and denoising accuracy. First, an adaptive meshing strategy is employed to remove most of the noise in the data while retaining more than 99.1% of the signal. Subsequently, an alternating horizontal and vertical recursive division algorithm with automatically selected parameters is applied for denoising; the method was validated on ICESat-2 ATL03 data, GlobeLand30 V2020 data, and USGS 3DEP airborne radar data, where the method achieved a classification accuracy of more than 91.2%, with a several-fold reduction in runtime compared to traditional clustering methods. The framework demonstrates high efficiency, robustness, and computational scalability across diverse terrains, including polar, forest, and plains. It can contribute to geographic mapping, environmental protection, and ecological monitoring. Full article

Background: Tetralogy of Fallot is a congenital heart defect that requires early surgical correction. However, in developing countries, many patients undergo delayed treatment due to limited healthcare resources. This study aims to identify risk factors for postoperative complications in humanitarian patients undergoing late Tetralogy of Fallot repair, defined as surgery performed after 12 months of age. Methods: A retrospective analysis was conducted on 115 humanitarian paediatric patients with a median age of 1444 days (approximately 4 years) who underwent complete Tetralogy of Fallot correction. In this humanitarian programme, patients from developing nations underwent surgical repair at our tertiary referral centre in a high-resource country. Postoperative complications were monitored within the first 30 days after surgery. Two multivariable logistic regression models were used to analyse pre/perioperative (Model 1) and postoperative (Model 2) risk factors for complications. Results: Complications occurred in 24.3% of patients. No deaths were recorded. In Model 1, smaller pulmonary valve annulus (OR = 0.066; p < 0.01) and the use of right ventricle to pulmonary artery conduit (OR = 13.252; p < 0.01) were significantly associated with a higher risk of complications. In Model 2, prolonged invasive ventilation time (OR = 1.068; p < 0.01) and extended hospitalisation time (OR = 1.093; p = 0.04) were significantly associated with complications. Conclusions: Late surgical correction of Tetralogy of Fallot in humanitarian paediatric patients can be performed with low mortality but carries a significant risk of postoperative complications. The predictive models provide useful tools for proactive clinical monitoring, personalised management, and optimisation of hospital resources. Full article

As global food demand continues to rise, conventional agricultural practices face increasing difficulty in sustainably meeting production requirements. In response, deep learning-driven automated systems have emerged as promising solutions for enhancing precision farming. Nevertheless, accurate fruit segmentation remains a significant challenge in orchard environments due to factors such as occlusion, background clutter, and varying lighting conditions. This study proposes the Depthwise Asymmetric Bottleneck with Attention Mechanism Network (DABAMNet), an advanced convolutional neural network (CNN) architecture composed of multiple Depthwise Asymmetric Bottleneck Units (DABou), specifically designed to improve apple segmentation in RGB imagery. The model incorporates the Convolutional Block Attention Module (CBAM), a dual attention mechanism that enhances channel and spatial feature discrimination by adaptively emphasizing salient information while suppressing irrelevant content. Furthermore, the CBAM attention module employs multiple global pooling strategies to enrich feature representation across varying spatial resolutions. Through comprehensive ablation studies, the optimal configuration was identified as early CBAM placement after DABou unit 5, using a reduction ratio of 2 and combined global max-min pooling, which significantly improved segmentation accuracy. DABAMNet achieved an accuracy of 0.9813 and an Intersection over Union (IoU) of 0.7291, outperforming four state-of-the-art CNN benchmarks. These results demonstrate the model’s robustness in complex agricultural scenes and its potential for real-time deployment in fruit detection and harvesting systems. Overall, these findings underscore the value of attention-based architectures for agricultural image segmentation and pave the way for broader applications in sustainable crop monitoring systems. Full article

This study aimed to evaluate the accuracy of the accelerometer-equipped collar RUMI to detect estrus in dairy cows, establish a recommendation for the optimal timing for artificial insemination (AI) when using this device, and characterize the blood flow of the dominant follicle (F) and the corpus luteum (CL) as ovulation approaches. Forty-seven cycling cows were monitored following synchronization with a modified G6G protocol, allowing for spontaneous ovulation. Ultrasound examinations were conducted every 12 h, starting 48 h after the second PGF2α dose, to monitor uterine and ovarian changes. Blood samples were also collected to determine serum progesterone (P4) levels. Each cow was fitted with a RUMI collar, which continuously monitored behavioral changes to identify the onset, offset, and peak of activity of estrus. One-way ANOVA assessed the relationship between physiological parameters and time before ovulation. Results showed that the RUMI collar demonstrated high specificity (100%), sensitivity (90.90%), and accuracy (93.62%) for estrus detection. The optimal AI window was identified as between 11.4 and 15.5 h after heat onset. Increased blood flow to the F and reduced luteal activity were observed in the 48 h prior to ovulation. Further research is needed to assess the influence of this AI window on conception rates, and if it should be modified considering external factors. Full article

Excessive alcohol consumption is associated with various health complications, including liver damage and systemic inflammation. Probiotic interventions have emerged as promising strategies to mitigate alcohol-induced harm, yet their mechanisms of action remain incompletely understood. This randomized, double-blind, placebo-controlled clinical trial aimed to evaluate the protective effects of Weizmannia coagulans BC179 in chronic alcohol consumers. Seventy participants with a history of long-term alcohol intake were randomly assigned to receive either BC179 (3 g/day, 1 × 10¹⁰ CFU) or a placebo for a 30-day intervention period. Following alcohol ingestion, dynamic monitoring of blood alcohol concentration (BAC), inflammatory and oxidative stress biomarkers, and serum metabolomic profiles was conducted. BC179 supplementation significantly reduced BAC and enhanced the activities of alcohol dehydrogenase (ADH) and aldehyde dehydrogenase (ALDH), while decreasing levels of alkaline phosphatase (ALP), high-sensitivity C-reactive protein (hs-CRP), tumor necrosis factor-α (TNF-α), and interleukin-6 (IL-6). Conversely, the anti-inflammatory cytokine interleukin-10 (IL-10), superoxide dismutase (SOD), and glutathione (GSH) were significantly upregulated. Levels of cytochrome P4502E1 (CYP2E1) and malondialdehyde (MDA) were also markedly reduced. Metabolomic analysis revealed significant modulation of taurine and hypotaurine metabolism, as well as downregulation of caffeine-related pathways. Collectively, these findings indicate that W. coagulans BC179 alleviates alcohol-induced discomfort by enhancing alcohol metabolism, attenuating inflammation, reducing oxidative stress, and modulating key metabolic pathways. This probiotic strain may represent a promising adjunctive strategy for managing alcohol-related health issues. Full article

Although rectal temperature is reliable, its measurement requires manual handling and causes stress to animals. IRT provides a non-contact alternative but often ignores bilateral eye temperature differences. This study presents an E-S-YOLO11n model for the automated detection of the binocular regions of sheep, which achieves remarkable performance with a precision of 98.2%, recall of 98.5%, mAP@0.5 of 99.40%, F₁ score of 98.35%, FPS of 322.58 frame/s, parameters of 7.27 M, model size of 3.97 MB, and GFLOPs of 1.38. Right and left eye temperatures exhibit a strong correlation (r = 0.8076, p < 0.0001), However, the eye temperatures show only very weak correlation with rectal temperature (right eye: r = 0.0852; left eye: r = −0.0359), and neither figure reaches statistical significance. Rectal temperature is 7.37% and 7.69% higher than the right and left eye temperatures, respectively. Additionally, the right eye temperature is slightly higher than the left eye (p < 0.01). The study demonstrates the feasibility of combining IRT and deep learning for non-invasive eye temperature monitoring, although environmental factors may limit it as a proxy for rectal temperature. These results support the development of efficient thermal monitoring tools for precision animal husbandry. Full article

Rheumatoid arthritis (RA) is an autoimmune disease affecting the synovium. Mitochondrial dysfunction is considered a critical factor in the pathogenesis of RA. The aim of the study was to determine the effect of methotrexate and tofacitinib on mitochondrial function and oxidative stress in an in vitro study on the model synovial cell line SW982. TNF-alpha-stimulated SW982 cells, as well as control untreated cells, were incubated with methotrexate and tofacitinib. A metabolic test was performed to assess mitochondrial function. The oxidative stress generated after the application of the therapeutics was determined by a chromatographic analysis. The results obtained showed an increase in ATP levels (p < 0.0001) and a decrease in proton leak (p < 0.0003) after treatment with tofacitinib. The opposite trend was observed—reduced ATP production (p < 0.0096) and increased levels of proton leak (p < 0.0001)—after treatment with methotrexate. A two-fold increase in 8-ISOPGF2A was measured in comparison to TNF-alpha-stimulated and untreated cells. The dynamics of mitochondrial activity and oxidative stress were monitored in a certified RA model cell line after the administration of two different therapeutics. Methotrexate was found to induce mitochondrial dysfunction and oxidative stress in vitro, while tofacitinib partially improved mitochondrial parameters. Full article

To elucidate the spatial distribution characteristics of algal communities and their correlation with environmental factors in the Heilongjiang River, algal surveys and water quality monitoring were carried out from May to October 2023. The results were as follows: (1) In total, 234 species from 95 genera belonging to seven phyla were detected, mainly Bacillariophyta, Chlorophyta, and Cyanophyta. (2) The most dominant species in the Heilongjiang River in summer and autumn were Pseudanabaena minima (G. S. An) Anagnostidis and Phormidium gelatinosum Woronichin. The dominant species in the middle niche in summer and the dominant species in the broad niche in autumn were Bacillariophyta. (3) Canonical Correlation Analysis results revealed that the environmental factors that significantly affected the distribution of the epiphytic algae during the summer were COD, F-, and WT, while EC, TN, BOD₅, and pH significantly influenced the distribution of epiphytic algae in autumn. (4) Significant correlation heatmaps revealed that the dominant species were significantly correlated with WT and TP in the Greater Khingan Mountains in summer, whereas the dominant species were significantly correlated with COD, NH₃-N, and TP in the Heihe region, Lesser Khingan Mountains, and Sanjiang Plain. There was a significant correlation between the dominant species and TN in the Greater Khingan Mountains in autumn. The spatial distribution characteristics of the algal communities and the correlations between the dominant species and water environmental factors can provide a theoretical reference for the assessment of the water ecological health status. Full article

With increasing wastewater treatment demands and decarbonization goals, synergistic reduction in pollutants and green house gas (GHG) emissions is crucial. High process emissions like N₂O pose significant challenges, yet optimized carbon reduction strategies for conventional plants are lacking. This study developed three mathematical models to quantify the impact of dissolved oxygen (DO), influent salinity, and C/N ratio on direct emissions (CH₄, N₂O) and indirect emissions. Response Surface Methodology (RSM) optimized these factors to minimize GHG emissions under three accounting scenarios: (1) plants with CH₄ reuse systems: salinity = 0.5 g L⁻¹, DO = 3.67 mg L⁻¹, C/N = 12.75; (2) plants focusing solely on direct emissions: salinity = 0.5 g L⁻¹, DO = 3.35 mg L⁻¹, C/N = 3; and (3) plants assessing total emissions: salinity = 0.5 g L⁻¹, DO = 2.5 mg L⁻¹, C/N = 7.18. Key findings indicated that increasing salinity exacerbated greenhouse gas emissions. Elevated DO levels in the aerobic stage reduced N₂O emissions but increased indirect emissions in the A²/O process. Higher C/N ratios promoted anaerobic CH₄ production, but sufficient carbon reduced N₂O by enabling complete heterotrophic denitrification. A 60−day continuous GHG emissions monitoring campaign was conducted at a WWTP to validate the actual emission reductions achievable under the identified optimal control conditions. An analysis and comparison of operational and economic costs were also performed. The findings provide practical insights into sustainable GHG emission management and offer potential solutions to advance the synergistic reduction in GHG emissions and pollutants. Full article

MRNA-based therapeutics and vaccines represent a rapidly expanding frontier in biomedical innovation, with lipid nanoparticles (LNPs) serving as a clinically validated delivery platform. This study explores critical quality attributes of LNP-mRNA formulations, with a particular focus on in vitro biological activity, a key quality attribute of vaccine activity and batch-to-batch consistency. We discuss the importance of optimizing both LNP components and mRNA structure, highlighting recent advances in formulation strategies. Furthermore, we examine the influence of factors such as cell-line selection, experimental design, storage conditions, and targeted cellular delivery on transduction efficiency. Our findings underscore the need for standardized in vitro assays and process-integrated monitoring to support the scalable development and regulatory assessment of mRNA-based therapies. Full article

Due to extensive soft soil and high human activities, Wuhan is a hotspot for land subsidence. This study used the time-series InSAR to calculate the spatial and temporal distribution map of subsidence in Wuhan and analyze the causes of subsidence. An improved fuzzy analytic hierarchy process (GD-FAHP) was proposed and integrated with the Entropy Weight Method (EWM) to assess the hazard and vulnerability of land subsidence using multiple evaluation factors, thereby deriving the spatial distribution characteristics of subsidence risk in Wuhan. Results indicated the following: (1) Maximum subsidence rates reached −49 mm/a, with the most severe deformation localized in Hongshan District, exhibiting a cumulative displacement of −135 mm. Comparative validation between InSAR results and leveling was conducted, demonstrating the reliability of InSAR monitoring. (2) Areas with frequent urban construction largely coincided with subsidence locations. In addition, the analysis indicated that rainfall and hydrogeological conditions were also correlated with land subsidence. (3) The proposed risk assessment model effectively identified high-risk areas concentrated in central urban zones, particularly the Hongshan and Wuchang Districts. This research establishes a methodological framework for urban hazard mitigation and provides actionable insights for subsidence risk reduction strategies. Full article