Search Results (39,802)

This study investigated the bactericidal effect and examined the associated cellular damage of low temperature plasma (LTP) combined with slightly acidic electrolyzed water (SAEW) against Listeria monocytogenes. Single-factor experiments were conducted to assess the bactericidal efficacy under individual treatment conditions, followed by the evaluation of three different combination sequences. An orthogonal experimental design was performed to optimize the key parameters, and the optimal treatment conditions were determined as LTP at 45 W with an electrode spacing of 1 mm for 2 min, combined with SAEW at an available chlorine concentration (ACC) of 30 mg/L. Under these conditions, confocal laser scanning microscopy (CLSM) with SYTO 9/PI staining confirmed that the combined treatment caused cell death, as indicated by loss of membrane integrity in treated cells. A resuscitation assay further ruled out the viable but non-culturable (VBNC) state, as no bacterial growth was detected after 48 h of enrichment. The leakage of intracellular proteins and nucleic acids was measured using the Coomassie Brilliant Blue method combined with a microplate reader, and changes in cellular morphology were observed by scanning electron microscopy (SEM). The results demonstrated that SAEW+LTP treatment exerted a distinct effect, significantly disrupting bacterial cell membrane integrity, inducing the leakage of intracellular contents, and causing obvious morphological damage to the bacterial cells. In conclusion, the combined treatment of LTP and SAEW significantly improved the bactericidal efficiency against L. monocytogenes, which may be due to the combined disruptive effects on membrane integrity and subsequent structural and functional damage to the cells. Future investigations are needed to unravel the precise mechanisms, establish the efficacy against a wider panel of strains, and explore the potential for practical application in food matrices. Full article

This study validates Danielson Framework for Teaching (DFfT) instruments’ structure, dependability, and contextual appropriateness within the multicultural, standards-driven education system of the United Arab Emirates (UAE) in accordance with Vision 2021 and national teacher competency frameworks. Quantitative data were collected from 629 UAE schoolteachers through administering a questionnaire-based survey. Principal Component Analysis and Confirmatory Factor Analysis yielded discriminant, convergent, and construct validity in addition to internal consistency using the Composite Reliability Index and Average Variance Extracted for all scales. Four DFfT domains were shown to have a stable structure based on Principal Component Analysis results: planning and preparation (six factors, α = 0.92–0.99), learning environment (five factors, α = 0.98–0.99), learning experiences (five factors, α = 0.96–0.99), and principled teaching (six factors, α = 0.69–0.99). Notably, all constructs had excellent model fit with substantial factor loadings and inter-item as confirmed by the results of the Confirmatory Factor Analysis. With the exception of one minor subscale (α = 0.69), all dependability coefficients exceeded recommended benchmarks. The first-order full DFfT structural model of the four main domains validation demonstrated a reliable framework (CFI = 0.917, TLI = 0.902, IFI = 0.919, χ²/df = 1.635, and RMSEA = 0.078) for professional development, instructional improvement, and policy alignment with potential relevance beyond the UAE context, as well as psychometric soundness and contextual adaptability for teachers’ professional growth and evaluation in UAE schools. The study’s findings are significant, as they are the first to empirically validate the psychometric properties of the Danielson framework of teaching instruments in the UAE. Full article

Although internal fixation and surgical approaches promote fracture healing, some outcomes remain unsatisfactory. Advanced platelet-rich fibrin (A-PRF) has been shown to provide more growth factors, and in vitro cell proliferation has not been evaluated for treating bone fractures in veterinary medicine. The purpose of this study was to evaluate the bone-healing activity of A-PRF in traumatic canine fractures. Twelve dogs with single radius–ulna or tibia–fibula fractures were randomly assigned to two groups: a control group and an A-PRF group. Both groups were treated with a locking compression plate and screws and received pain control. Post-operatively, dogs were evaluated for serum C-reactive protein (CRP) levels and post-operative pain scores on days 1, 3, and 7. Lameness and weight-bearing scores were evaluated on days 1, 3, 7, 14, 30, and 60. Bone healing was assessed at 2 weeks, 1 month, and 2 months using calculated relative bone density (%). Compared with the control, the A-PRF group showed higher bone density at 2 months and lower lameness at 14 days post-operatively. Although the CRP level, an inflammation response marker, was higher in the A-PRF group within one day. No significant difference in pain score was observed. In conclusion, A-PRF serves as an effective adjunctive therapy for promoting bone healing when treating canine appendicular fractures with surgical internal fixation. Full article

Rapid urbanization in the Yellow River Basin intensifies the conflict between urban expansion and the thermal environment, threatening ecological security and sustainable development. Utilizing multi-source data (2000–2023) including nighttime light (NTL) and land surface temperature (LST), this study applies spatial analysis and Geographically Weighted Regression (GWR) to explore the spatial associations between urban development and LST and its drivers across core cities. The results indicate significant spatiotemporal differentiation: mid-downstream cities exhibited contiguous urban expansion, whereas upstream growth remained constrained by local topography, with heat islands consistently concentrating in built-up areas. The warming rate decreased gradually from downstream (0.29–0.40 °C/year) to upstream (0.20–0.30 °C/year). The LST-NTL correlation strengthened notably in mid-downstream regions but remained moderate upstream. GWR analysis revealed that urban development intensity, represented by NTL, is the primary driver of LST increase downstream, while natural factors predominantly mitigate warming upstream. This long-term, multi-city comparison provides a scientific basis for precise urban heat island management and sustainable planning in the basin. Full article

Digital–green synergy development is a critical pathway for promoting comprehensive rural revitalization and high-quality development. Using panel data from 31 Chinese provinces spanning 2012 to 2023, we employ the global entropy weight method, a coupling coordination degree model, kernel density estimation, and an obstacle degree model to systematically analyze the spatiotemporal evolutionary characteristics and obstacle factors underlying this synergy, aiming to provide a scientific basis for regionally differentiated comprehensive rural revitalization. The findings reveal that: (1) Both digitalization and greenization have improved steadily, though the growth rate of greenization lags behind that of digitalization. The level of digital–green synergy development, although initially low, shows continuous growth. (2) Spatially, digital–green synergy development exhibits a pattern of eastern leadership, central catching-up, western transition, and northeastern stagnation. (3) Nationally, the absolute disparity in digital–green synergy development continues to widen, indicating growing polarization. Regionally, the eastern region exhibits multipolarization, the central region shows bipolarization, while the western and northeastern regions display no significant polarization trends. (4) Production digitalization and living greenization are the primary constraints hindering synergy. Based on these findings, we propose targeted policy recommendations to facilitate deeper integration between rural digitalization and greenization, supporting decision-makers in advancing digital–green synergy development. Full article

The field experiment was conducted in 2016–2018 at the Department of Agronomy of the Poznań University of Life Sciences on the fields of the Research and Education Centre in Gorzyń, Złotniki branch. It was a single-factor experiment with six sowing dates of an ultra-early maize variety: A1—12 April, A2—26 April, A3—10 May, A4—24 May, A5—7 June, and A6—21 June. Seeds of the maize variety ‘Pyroxenia’ were used in the experiment. This variety is characterized by extremely early maturity (FAO 130), rapid initial development and elongation growth. Delaying the maize sowing date from A1 to A2 resulted in a 16.5% reduction in starch content in the silage dry matter, and a 14.6% increase in the ADF (Acid Detergent Fiber) fiber fraction. The difference in milk production per hectare between maize sown on date A1 and date A6 was 14,189.51 kg/ha, representing 97.1%. Delaying the maize sowing date led to an increase in the abundance of Clostridium spp. in silages, which are responsible for increased losses of dry matter, including starch. No butyric acid was detected in the silages as a final product of butyric fermentation. The low abundance of bacteria from the family Enterobacteriaceae in the silages indicated that they were well prepared. Silages prepared from maize sown at later dates were characterized by a higher abundance of undesirable mold fungi, which are responsible for dry matter losses, including starch. The coefficient of determination showed that 38.54% of the variation in silage starch content was explained by variation in mold abundance in the silage. According to the Flieg–Zimmer scale, all silages received a very good rating, regardless of maize sowing date. Full article

Backgrounds: The aim of this pilot study was to evaluate the hierarchical contribution of individual genetic polymorphisms to the variability of autonomic regulation parameters and respiratory function in athletes of different sport specializations using Classification and Regression Tree (CRT) analysis. Methods: The study included athletes divided into two groups: hockey players (n = 48) and martial artists (n = 43). Heart rate variability (LF, HF) parameters and spirometric indices (FEV₁) were assessed. Genetic analysis included 8 single nucleotide polymorphisms (SNPs): IL6 rs1800795, VDR rs731236, KCNJ11 rs5219, ADRB2 rs1042713, ADRB2 rs1042714, TRHR rs16892496, MSTN rs1805086, UCP3 rs1800849. Results: In martial artists, the main predictors were genes responsible for adrenoreceptor sensitivity (ADRB2) and neuroimmune interactions (IL6). In hockey players, the most significant predictors were genes involved in muscle growth (MSTN), energy metabolism (UCP3), and neuroendocrine regulation (TRHR). These findings indicate that similar resting HRV parameters in athletes from different sports may be associated with different genetic polymorphisms, reflecting sport-specific physiological adaptations to training loads. Conclusions: The results highlight the sport-specific nature of genetic determinants of autonomic regulation. In martial artists, genes related to the immuno-adrenergic axis (IL6, ADRB2) appear to play a dominant role, whereas in hockey players neuroendocrine, muscle-metabolic, and mitochondrial factors (TRHR, MSTN, UCP3) demonstrate greater influence. The observed interactions between genotypes and FEV₁ emphasize the importance of transitioning from generalized approaches toward personalized monitoring strategies in sports science. Full article

Colorectal cancer (CRC), characterized by epidermal growth factor receptor (EGFR) overexpression, is often associated with poor prognosis and limited therapeutic response to conventional chemotherapy. In this study, we developed EGFR-targeted extracellular vesicles (EGFR-tEVs) by transiently engineering donor cells to display the GE11 peptide, aiming to enhance the precision of doxorubicin (Dox) delivery. The physicochemical properties of EGFR-tEVs were characterized using TEM, NTA, and Western blot. In vitro, EGFR-tEV-Dox exhibited increased cellular uptake in EGFR-overexpressing HCT-116 cells, leading to the activation of the p53-Bax-cleaved PARP1 apoptotic pathway. Notably, while Dox treatment induced p53 in normal colon fibroblasts (CCD18-Co), it did not trigger significant Bax activation or PARP1 cleavage, suggesting a preference for survival-related signaling in non-malignant cells. In a xenograft mouse model, EGFR-tEVs + Dox administration resulted in a 33.1% reduction in tumor volume and an 82.8% decrease in Ki-67 expression compared to the control group. These results indicate that transient receptor-mediated targeting enhances functional drug delivery to malignant tissues while minimizing pro-apoptotic induction in normal cells. Our findings suggest that EGFR-tEVs + Dox represents a balanced therapeutic strategy that improves antitumor efficacy with a favorable safety profile for EGFR-positive colorectal cancer. Full article

Continuous greenhouse watermelon cultivation is widely constrained by declining soil function, impaired nutrient cycling, and increasing soil-borne disease pressure. Developing biologically driven strategies to restore soil–crop coupling is therefore critical for sustainable protected horticulture. Here, we conducted a two-year field experiment (2024–2025) using a randomized block design with three treatments (CK, ST, and STE), three replicates per treatment, and a plot area of 22.5 m² to evaluate how straw application alone and in combination with earthworms regulate soil processes and crop performance in a continuous greenhouse watermelon system. Compared with CK and ST, earthworm–straw co-application (STE) exerted stronger effects, particularly during the mid-to-late growth stages. In 2024, STE increased soil organic matter by 25.34% and 30.28% relative to CK at the fruiting and harvest stages, respectively; in 2025, the corresponding increases were 25.22% and 27.62%. STE also significantly increased total nitrogen at nearly all growth stages, with the maximum increase reaching 67.23% relative to CK at harvest. In 2025, total phosphorus under STE was significantly higher than under CK and ST across all growth stages, with increases of 75.82% and 79.63%, respectively, at the fruiting stage. Neutral phosphatase activity was markedly enhanced, increasing by 292.24% at the fruiting stage in 2025. These improvements were accompanied by higher plot yield and lower wilt disease incidence, with yield increasing by 34.00% in 2024 and 21.29% in 2025 relative to CK, while disease incidence decreased by 41.46% and 56.06%, respectively. Integrative Mantel tests showed that total nitrogen was the factor most strongly associated with watermelon yield, with the correlation coefficient increasing from r = 0.490 (p = 0.001) in 2024 to r = 0.662 (p = 0.001) in 2025. Co-occurrence network analysis further revealed a strong positive correlation between yield and total nitrogen (r = 0.848 in 2024; r = 0.673 in 2025) and a negative correlation between disease incidence and total nitrogen (r = −0.661 in 2024; r = −0.822 in 2025), indicating progressively strengthened soil–plant functional coupling over time. Our findings demonstrate that earthworm–straw co-application strengthened soil nutrient transformation capacity and enhanced soil suppressiveness against wilt disease, thereby providing an effective ecology-based strategy for alleviating continuous-cropping constraints in greenhouse watermelon systems. Full article

Silicon carbide (SiC) has emerged as a highly attractive material for microelectromechanical systems (MEMS) operating in harsh environments, owing to its outstanding mechanical, thermal, and chemical properties. This review provides a comprehensive overview of the advantages and limitations of SiC-based MEMS, with particular emphasis on the strong interdependence between material structure, mechanical properties, and epitaxial growth processes. The role of defects, residual stress, and crystal quality is discussed in relation to device performance and reliability. Special attention is devoted to cubic SiC grown on silicon substrates, highlighting how growth-induced features influence the mechanical response of micromachined structures. Furthermore, a detailed analysis of the quality factor (Q-factor) is presented for 3C-SiC (111)/Si resonators, including the development of analytical models and their validation through numerical simulations performed using COMSOL Multiphysics (Version 6.1). The necessity of incorporating anisotropic loss factors in numerical modeling is demonstrated to be essential for accurately describing the experimentally observed behavior. This review aims to provide design guidelines and modeling strategies for the optimization of SiC MEMS, supporting their further development for high-performance and extreme-environment applications, including pressure sensors, mechanical resonators and high-stress-tolerant sensors. Full article

Breast cancer brain metastasis (BCBM) affects up to 30% of patients with metastatic disease and carries a median survival of only 4–18 months. Emerging evidence reveals that BCBM cells are not passive survivors, but active participants that hijack core neurotransmitter networks, GABA (gamma-aminobutyric acid) and glutamate, to fuel their growth. BCBM, particularly triple-negative breast cancer (TNBC), frequently switch to a GABAergic mode utilizing brain-derived GABA as an oncometabolite. In parallel, BCBM cells can also form direct synapses with neurons, tapping into excitatory input through glutamatergic receptors to drive tumor cell proliferation and survival. Concurrently, reprogrammed astrocytes establish gap junctions, secrete growth factors, and provide metabolic support. Together, tumor cells, neurons, and astrocytes form a pathological partnership locked in feedback loops sustaining metastatic progression. This review focuses on the unique mechanisms employed by distinct breast cancer subtypes and maps the metastatic progression from pre-metastatic to mature brain metastatic niche formation of BCBM. We highlight opportunities to repurpose neurological drugs to disrupt these communication axes. Full article

Excessive nitrate accumulation in leafy vegetables presents significant health risks, requiring sustainable strategies to optimize yield while minimizing nitrogen-related anti-nutritional factors in controlled environments. This study investigated the effects of varying LED light intensities 236.9 µmol·m⁻²·s⁻¹ (high), 189.8 µmol·m⁻²·s⁻¹ (medium), and 117.6 µmol·m⁻²·s⁻¹ (low) on nitrates (NO₃⁻) dynamics, growth, and biochemical composition in two Lollo Rossa lettuce cultivars, Carmesi and Carnelian, grown in NFT hydroponic systems. Conducted under constant temperature (20/18 °C day/night) and CO₂ (625 µmol·mol⁻¹) to isolate light’s influence, the experiment used a replicated design with three replicates per treatment, each including two cultivars. Morphological traits (plant height, rosette diameter, leaf number, biomass, root development) and biochemical parameters (nitrate and sugar contents) were assessed via mean comparisons, trends, and correlations. Results demonstrated that higher light intensity significantly suppressed nitrate accumulation in lettuce through enhanced assimilation and dilution effects linked to increased growth. Nitrate levels dropped to 2091.67 mg kg⁻¹ from 2443.33 mg kg⁻¹ in Carmesi and 2013.33 mg kg⁻¹ from 2515.00 mg kg⁻¹ in Carnelian. Negative correlations were observed between nitrate content and growth parameters: nitrates vs. fresh biomass (r = −0.89); nitrates vs. plant height (r = −0.79). Concurrently, it boosted carbohydrate content (Carmesi: 3.03 °Brix; Carnelian: 3.08 °Brix) and promoted vigorous growth, with Carmesi achieving superior metrics under high light (height: 22.12 cm, rosette diameter: 29.87 cm, fresh biomass: 206.88 g, root biomass: 19.58 g) compared to low light (17.45 cm height, 183.42 g biomass). Carnelian exhibited similar trends but prioritized root elongation. These findings underscore light’s role in regulating nitrate transporters and assimilation enzymes (e.g., nitrate reductase), offering a low-cost approach to reduce nitrate risks, enhance nutritional quality, and improve yield in controlled horticultural systems (CHS). Full article

Background: Midkine (MDK), a secreted heparin-binding growth factor, is involved in tumor progression and metastasis. While serum MDK is widely recognized as a potential prognostic biomarker for colorectal cancer (CRC), its specific functional role and underlying mechanisms in CRC development are not fully understood. Methods: The four publicly available CRC microarray datasets—GSE41258, GSE44076, GSE81558, and GSE117606—along with TCGA-COAD and TCGA-READ datasets and their associated clinical data were obtained. MDK expression was measured at both the mRNA and protein levels using quantitative real-time PCR (qRT-PCR) and Western blotting. To investigate its oncogenic functions, a comprehensive set of assays was performed: transwell and wound healing assays for invasion and migration; CCK-8 and colony formation assays for proliferation; and tail vein/spleen injection models combined with xenograft models to study metastasis and tumor growth in vivo. To uncover underlying mechanisms, Western blotting was used to examine the involvement of epithelial–mesenchymal transition (EMT) and the PI3K/AKT signaling pathway. Results: MDK is significantly overexpressed in CRC tissues and cells compared to normal tissues and cells. Notably, patients with high MDK levels show poorer overall survival (OS). Overexpression of MDK increases CRC invasion, migration, proliferation, and metastasis both in vivo and in vitro, while its knockdown reverses these effects. Mechanistically, MDK activates the PI3K/AKT pathway, leading to increased AP2A1 expression and promotion of EMT in CRC. Conclusions: MDK promotes invasion, migration, proliferation, metastasis, and EMT in CRC cells through the PI3K/AKT pathway by inducing AP2A1 expression, which could serve as a diagnostic marker. The PI3K inhibitor LY294002 significantly reduces AP2A1 levels and inhibits MDK-induced malignant behaviors. Targeting MDK-related signaling pathways may offer new strategies for CRC treatment. Full article

Plantar fasciitis, which is extensively documented, is a common cause of heel pain in adults. Recent research has indicated that the illness is not only associated with inflammation but also degeneration. In addition to traditional treatments, non-surgical minimally invasive options, such as localized platelet-rich plasma (PRP) injection, have shown promise in the management of plantar fasciitis. PRP is a concentrated solution containing a high concentration of biologically active molecules such as growth factors and cytokines, which are essential for regulating cellular processes including growth, differentiation, angiogenesis, and motility. Recent years have seen a surge in research investigating the efficacy of PRP in treating plantar fasciitis. However, previous studies on the use of PRP for plantar fasciitis have been limited by inadequate evidence, inconsistent methodologies, lack of standardization in PRP composition, and other methodological limitations. The objective of this study was to conduct a literature review on the research progress in PRP therapy for treating plantar fasciitis. The review encompassed an analysis of the active mechanism of PRP, its comparative advantages and disadvantages in relation to commonly employed treatments, and identified potential avenues for further investigation in this field. Full article

Scientifically assessing the spatiotemporal evolution of regional carbon storage is of great significance for achieving the “dual carbon” goals and optimizing territorial spatial patterns. This study integrated the PLUS and InVEST models to systematically reconstruct the spatiotemporal pattern of carbon storage in Hebei Province from 2000 to 2020, simulate its evolution trajectory under different scenarios in 2030, and identify its driving mechanisms using the GeoDetector model. The main findings are as follows: (1) From 2000 to 2020, cropland was the dominant land use type in Hebei Province, and carbon storage exhibited a spatial pattern of “high in the northwest, low in the southeast.” Carbon storage increased from 16.23 × 10⁸ t to 16.31 × 10⁸ t, with a significantly slowed growth rate after 2010. (2) Multi-scenario simulations for 2030 indicate that under the natural development and economic priority scenarios, construction land expands significantly while cropland and grassland continue to decrease. In contrast, carbon storage shows an increasing trend under the ecological protection and cropland protection scenarios. (3) Driving factor analysis reveals that the spatial differentiation of carbon storage is primarily controlled by natural factors such as slope, elevation, and NDVI, while the explanatory power of anthropogenic factors, particularly population density, has significantly increased. The interaction between NDVI and slope exhibits a synergistic enhancement effect. This study elucidates the coupling mechanisms between land use change and carbon storage under different policy orientations, providing a scientific basis for territorial spatial optimization and the formulation of differentiated carbon neutrality pathways in Hebei Province. Full article