Search Results (15,198)

Antimicrobial resistance (AMR) is a growing global health concern driven by bacterial biofilm formation, which increases tolerance to treatments. Developing surface-based strategies to limit biofilm formation is therefore critical. Layered Double Hydroxides (LDHs) are 2D brucite-like nanomaterials with tuneable physicochemical properties that may reduce bacterial colonisation. Their ease of synthesis, with scalability potential for industrial production, alongside their characteristic and tunable physicochemical properties, makes them a promising nanostructured coating for antimicrobial applications. This study evaluates LDH thin-film coatings as intrinsic antimicrobial surfaces, focusing on the combined effects of chemical composition, nanotopography, and wettability on biofilm formation in Escherichia coli, Staphylococcus aureus, and Pseudomonas aeruginosa. Four aluminium-based LDHs (ZnAl-NO₃, ZnAl-Cl₂, MgAl-NO₃, MgAl-Cl₂) were synthesised via coprecipitation or in situ growth on aluminium substrates. Materials were characterised by XRD, SEM, EDS, and contact angle measurements. Antimicrobial performance was assessed by quantifying colony-forming units (CFU mL⁻¹) after bacterial exposure. ZnAl-LDH surfaces showed significant antimicrobial activity against E. coli and S. aureus, while MgAl-LDHs showed no effect and occasionally increased bacterial growth. None of the LDH surfaces tested exhibited significant antimicrobial activity against P. aeruginosa strain. The antimicrobial performance of ZnAl-LDH can be attributed to the concurrent effect of the surface chemistry, wettability, and sharp platelet-like nanotopography. The results obtained demonstrate that ZnAl-LDH-based coatings are promising antimicrobial materials with potential relevance for translational research in clinical antimicrobial surface development. Full article

India has been witnessing a high growth rate of aggregate income in the current era of globalization. Even though the per capita income is yet to catch up, this led to an improved global status in 2025, with India becoming the fifth largest economy in terms of aggregate GDP. However, the economic gains have been accompanied by a host of environmental problems. In particular, the increase in carbon emissions is emerging as the biggest challenge in achieving the Sustainable Development Goals by 2030. While some national policy initiatives exist, Indian states have also started implementing new public policies for a contextualized environmental management at a sub-national level to curtail the negative impact of carbon emissions on sustainable development. In this context, this study seeks to explore three aspects: first, the characteristics of the series for per capita CO₂ (PCCO₂) emissions, per capita state domestic product (PCGSDP), and per capita R&D (PCR&D) spending aimed at safeguarding the environment in Indian states; second, the prevalence of both enduring and near-term linkages among the three variables in distinct panels; and third, the constantly changing interplay involving income and carbon emissions in the midst of R&D spending for the environment in the Indian states from 2008–2025. While the series for PCGSDP and PCR&D is seen rising along with PCCO₂ in most states, there are some exceptional states like Delhi and Kerala where trends of PCCO₂ are falling. The panel cointegration and VECM results show that the three indicators, viz., income, PCCO₂ and R&D spending, have a stable long-run relationship, and that income and R&D cause CO₂ emissions in all states’ panels and the panel of developed states. Using several polynomials between the income and CO₂ emission nexus over several panels of states and using panel cointegration techniques, the study reveals that static panel fixed effects models are most appropriate in the case of all states’ panels and the panel of developed states to establish an inverted Environmental Kuznets Curve (EKC), and that R&D spending has worked as a significant control variable to justify the declining shape of the EKC. The study recommends a continuous increase in R&D spending by all states of any development stature to achieve sustainable development in the earliest possible time. Full article

The poultry industry is undergoing a major transition to reduce the use of antibiotics, as a result of the growing concerns about antimicrobial resistance, antibiotic residue in meat and increasingly stringent regulatory policies. This trend has led to an increased interest in functional feed additives as potential alternatives that may support bird health, growth performance and meat quality. There are functional additives, including probiotics, prebiotics, synbiotics, phytogenics, organic acids, enzymes, essential oils, vitamins, minerals and postbiotics, that have shown potential effectiveness in enhancing gut health, nutrient utilization, immunity and disease resistance in poultry. The advantages that are frequently noticed are increased feed conversion ratio, body weight gain, carcass yield and improved meat quality characteristics, such as water-holding capacity, color stability, tenderness, oxidative stability and shelf life. Furthermore, the decrease in the use of antibiotics decreases the risk of residues and also the transmission of antimicrobial resistance genes through the food chain and the environment. Consumer interest in antibiotic-free and naturally raised poultry meat has also led to the emergence of premium market opportunities, where trust, transparency in poultry labelling and perceived safety are key drivers of consumer acceptance. But there are issues yet to be addressed regarding additive efficacy variability, dosage standardization, cost-effectiveness and implementation on farms under different production systems. This review critically evaluates the scientific evidence related to the use of functional feed additives as an alternative to antibiotics in poultry nutrition, focusing on their effects on meat quality, food safety, economic viability, sustainability and consumer perception. Precision nutrition, combinations of synergistic additives, and data-driven feed strategies will be key to future progress to enable profitable and sustainable poultry production. Full article

Objectives: Diminished ovarian reserve (DOR) significantly compromises in vitro fertilization (IVF) success. Although systemic markers such as anti-Müllerian hormone (AMH) serve as valuable clinical indicators of the ovarian reserve, they lack the sensitivity to reflect the qualitative deterioration of the follicular microenvironment. Therefore, in this study, we aimed to characterize the inflammatory proteome of follicular fluid (FF) to establish a high-performance auxiliary diagnostic model for DOR. Methods: Utilizing the ultra-sensitive Olink proximity extension assay, we quantified 92 inflammation-related proteins in the FF of 88 participants (67 with DOR and 21 normal controls). Differentially expressed proteins (DEPs) were identified, and their relationships with key clinical indices were evaluated. A robust predictive signature was refined through integrated Least Absolute Shrinkage and Selection Operator (LASSO) regression and Random Forest algorithms, with diagnostic performance assessed via 10-fold cross-validation. Results: Thirty-five DEPs were significantly dysregulated in the FF of patients with DOR, demonstrating strong associations with serum AMH and basal estradiol concentrations. A minimized diagnostic panel comprising four core proteins, adenosine deaminase (ADA), vascular endothelial growth factor A (VEGFA), eukaryotic translation initiation factor 4E-binding protein 1 (4E-BP1), and matrix metalloproteinase-1 (MMP-1), was established. This multivariable model achieved an excellent area under the receiver operating characteristic curve (AUC) of 0.953. Conclusions: The identified four-protein signature reflects localized chronic inflammation and early pathophysiological shifts in the DOR follicular microenvironment. As a high-performance molecular index, this panel could complement conventional systemic assessments, provide a reliable means of evaluating follicular viability, and optimize individualized therapeutic strategies. Full article

Strand-based structural products offer an excellent alternative material for wood-based construction, which can be produced from low-quality raw materials. Indigenous poplar is becoming an increasingly important raw material, but its industrial utilization requires a new approach due to its unfavorable growth characteristics. The study introduced in this paper was aimed at developing Oriented Structural Lumber (OSL) from Hungarian poplar and comparing the potential of indigenous vs. hybrid poplar materials. Laboratory-scale (400 × 400 × 30 mm) OSL was produced, first to find viable manufacturing parameters for poplar OSL based on modulus of rupture (MOR), internal bond strength, and thickness swelling, and then to compare a wide range of mechanical and physical characteristics of OSL made of the two types of poplar. The first part of the study showed that a resin content of 3.4%, 650 kg/m³ target density, and 750 s of pressing time gave the best results for producing 30 mm thick OSL in laboratory conditions. The produced boards were comparable to softwood and bamboo OSL developed in earlier studies, and their performance was comparable to a higher grade of structural lumber (C35) in terms of density and MOR, as measured on small laboratory-scale specimens. There were only minor differences in in-plane and out-of-plane compression and tension between indigenous and hybrid poplar boards. Hybrid poplar performed better in terms of bending, but indigenous poplar had significantly higher screw withdrawal resistance, and lower thickness swelling and water absorption. Overall, poplar OSL is promising as a potential new product, and indigenous poplar can be used to replace hybrid poplar in this application without a decline in mechanical and physical performance. Full article

Guanidinoacetic acid (GAA), an important feed additive, shows poor powder properties due to its morphological characteristics. In this study, GAA was employed as a model compound to investigate the regulatory effects of polymeric additives (hydroxypropyl methyl cellulose, hydroxypropyl cellulose, and polyacrylamide) on its crystal growth and powder properties through integrated experimental and molecular simulation approaches. In situ single-crystal growth experiments reveal that hydroxypropyl methyl cellulose (HPMC) and hydroxypropyl cellulose (HPC) can selectively suppress the growth of the (11–1) crystal face while slightly promoting the growth of the (011) crystal face, thereby altering the relative growth rates and modifying the final crystal morphology. However, polyacrylamide (PAM) inhibits the growth of both the (11–1) and (011) crystal faces, resulting in negligible alteration of GAA crystal morphology. Growth kinetic analysis indicates that crystal growth is governed by a surface integration-controlled mechanism. Molecular dynamics simulations further demonstrate that the additive preferentially adsorbs onto specific crystal faces, reducing interfacial solute accumulation and inhibiting molecular diffusion. Collectively, these findings demonstrate that additives exert synergistic control over crystal morphology and particle size distribution through selective adsorption and modulation of interfacial mass transfer. This research provides mechanistic insights and theoretical guidance for the regulation of crystallization processes via additive intervention. Full article

Raindrop size distribution (DSD) is a crucial parameter for microphysics parameterizations and radar quantitative precipitation estimation (QPE). Using disdrometer and ERA5 reanalysis data collected during the rainy season (July–September 2021) in the Liupan Mountains (LP), this study investigated how the two dominant airflow transport pathway types—the deep warm-moist monsoon (C1) and deep dry-cold continental (C2) types—modulated DSDs in the LP. The results showed that C1 had maritime characteristics, with higher number concentrations and a smaller mass-weighted mean diameter (D_m). C2 showed continental characteristics: low-level evaporation preferentially depleted small drops and increased the contribution of large drops (>2.38 mm), resulting in a larger D_m. Under both types, convective precipitation had broader DSDs than stratiform precipitation. Triggered by orographic lifting, C2 convective precipitation enhanced large-drop growth, making its D_m much larger than that of C1. The Z–R relationships were highly sensitive to airflow transport pathways. Dominated by small drops, C1 yielded a smaller Z–R coefficient A than C2, whereas reflectivity in C2 was more sensitive to the enhanced large-drop tail. These findings provide an observational basis for improving regional radar QPE accuracy, hydrometeorological forecasting, and water-resource assessment over complex terrain. Full article

Tillage practices can change the soil environment (including soil properties and enzyme activity) and the rhizosphere microbial community, thereby inducing changes in root growth and the nutrient uptake capacity. This study was carried out on a long-term (since 1983) tillage field experimental platform. It aimed to explore the effects of tillage practices and growth stages on maize root development, soil properties, and the rhizosphere microbial community. The results can provide a theoretical basis for the further analysis of crop–soil–microbial interactions. In our study, we investigated the abundance and diversity of the rhizosphere microbial community and their relationship with root growth characteristics and soil factors under long-term (since 1983) conventional tillage (CT), subsoil tillage (ST), and no-tillage (NT) practices using quantitative PCR and high-throughput 16S/ITS sequencing. In 2020, at the 30-days-after-silking (VT 30) stage, NT increased the root length, root dry weight, N accumulation, and N uptake rate of maize roots compared with CT by 16.7%, 16.3%, 41.9%, and 41.9%, respectively. In 2020, at the 12th leaf (V12) and VT 30 stages of maize, NT significantly increased the contents of soil total nitrogen (by 16.3% and 11.0%, respectively), total carbon (by 23.9% and 12.9%, respectively), soil organic matter (by 24.8% and 10.3%, respectively), and soil urease activity (by 5.5% and 5.6%, respectively) compared with CT. Moreover, NT significantly increased the bacterial and fungal abundances compared with CT. Redundancy analysis (RDA) showed that the variation in the microbial structure correlated markedly with the alteration in root indicators, soil properties, and enzyme activities. Long-term no-tillage improved the abundance and diversity of rhizosphere microbial communities by increasing the soil total nitrogen, total carbon, and soil organic matter, and promoted the N accumulation of roots and their uptake rate. Full article

Brush seals, as a fundamental dynamic sealing technology in the aerospace and energy propulsion industries, require performance enhancement through instantaneous adjustment of the friction coefficient and force analysis of brush filaments. This paper establishes an instantaneous friction coefficient correction method based on the open volume between bristles and the backing plate. The downstream section of the double-row brush wire (2.6 mm) was quantitatively identified as the maximum leakage point, and it was found that the vortex characteristic length in the downstream area is approximately 1–3 times the bristle gap, with an increasing pressure ratio enhancing downstream turbulence and reducing gas leakage. A cantilever beam structural model was developed to assess the motion, force, and hysteresis properties of a single filament. Additionally, a porous medium model was utilized to elucidate the flow field and temperature distribution within the seal. The results suggest that the lag angle increases linearly over the first one-third of the brush wire’s length from the free end to the fixed end and is directly proportional to the pressure difference ΔP, reaching a maximum of 10.18°. The viscous drag causes the radial force y-component F_xy to increase and then decrease near the free end. The rear baffle contact force, F_b, shows variable peaks at two-thirds of the filament length. The displacement at the brush filament’s free end, the deflection angle, and the bending moment are directly proportional to the pressure differential. As pressure increases, the deformed region propagates toward the fixed end, and the maximum displacement at the free end of the brush wire reaches 13.04 mm. The leakage rate increases nearly linearly with ΔP and its deformation, reaching a maximum of 0.00849 m²/s. The pressure gradient growth rates of 164%, 73%, and 29% at the front baffle corner demonstrate that adding pressure chambers on front and rear baffles is optimal for high-pressure scenarios (ΔP > 0.3 MPa), while the formation of vortices between bristles and rotor reduces tip friction force and front-row turbulent disturbance, providing design guidance for extending seal service life. Full article

Cadmium (Cd), a highly mobile and phytotoxic heavy metal, threatens plant growth and food safety and has increased interest in woody plant-based phytoremediation. However, the genome-wide characteristics of the NAC transcription factor family and its role in Cd tolerance remain largely unknown in pomegranate (Punica granatum L.), a stress-tolerant woody plant. In this study, 121 PgNAC genes were identified from the chromosome-level genome of the pomegranate cultivar ‘Tunisia’. Phylogenetic analysis classified these genes into two major groups and 16 subgroups. PgNAC genes were unevenly distributed across the eight chromosomes and showed evident clustered distribution patterns. Synteny and Ka/Ks analyses further revealed that segmental and tandem duplication jointly shaped the expansion of the PgNAC family, while the duplicated pairs have largely evolved under strong purifying selection. Conserved motif and gene structure analyses showed that PgNAC proteins possessed a highly conserved N-terminal NAM domain, whereas their C-terminal regions were relatively divergent. Promoter analysis further identified abundant hormone- and stress-responsive cis-elements, suggesting diverse regulatory roles of the PgNAC family. Transcriptome profiling identified PgNAC87, a member of the NAP subfamily, as a Cd-responsive candidate gene that was consistently upregulated in both roots and leaves under Cd stress. Heterologous overexpression of PgNAC87 in tobacco significantly enhanced Cd tolerance, as reflected by alleviated growth inhibition, increased antioxidant enzyme activities and osmotic adjustment substances, and reduced oxidative damage. Collectively, our results clarify the evolutionary features of the PgNAC family and its involvement in Cd-induced transcriptional regulation, while highlighting PgNAC87 as a potential genetic target for enhancing Cd tolerance in pomegranate and related woody species. Full article

A comprehensive first-principles investigation of bulk and surface Cu defects in Zn-based chalcogenides (ZnO, ZnS, and ZnSe) is presented, aimed at assessing the effect of Cu doping on the optoelectronic properties of these materials and at addressing the photocatalytic activity towards the hydrogen evolution reaction (HER). Defect formation energies, adiabatic and optical charge-transition levels of the bulk materials are determined, and their dependence on growth conditions and Fermi-level position is analysed. The results indicate that, whereas ZnO supports both donor- and acceptor-like Cu defects with pronounced Jahn-Teller distortions, ZnS and ZnSe predominantly stabilise substitutional Cu as a mid-gap acceptor with weaker electron-lattice coupling and similar absolute transition levels. Calculated vertical transition energies rationalise the characteristic emission of Cu-doped samples in terms of defect-mediated optical cycles. The focus is then placed on surface energetics, which differ markedly from bulk behaviour and critically influence photocatalytic performance. Explicit modelling of HER demonstrates that Cu substitution dramatically reduces the overpotential on ZnS and ZnSe by tuning hydrogen adsorption toward the Sabatier optimum, while in ZnO the beneficial effect of Cu doping is diminished by the excessive strengthening of the adsorbate-surface interactions. Finally, the measured HER activities are rationalised by proposing a defect-mediated mechanism involving electron trapping at the surface Cu site, cooperative proton adsorption, and hydride formation. These findings establish defect thermodynamics and surface charge localisation as key design parameters for optimising materials engineering strategies in photocatalytic applications. Full article

Cellulose is the most abundant renewable biopolymer, with bacterial cellulose (BC) emerging as a high-purity, sustainable alternative to plant-derived cellulose. While sharing the same chemical formula, BC possesses unique morphological characteristics, including a 3D nanofibrillar network, high crystallinity (>95%), and superior water-holding capacity (>60%), and is free of lignin and hemicellulose impurities. This review systematically explains the production, morphology, and properties of microbial cellulose produced by strains such as Komagataeibacter. We examine the influence of substrate composition, environmental growth conditions, and post-treatment protocols on the macro- and nanoscopic properties of the final pellicle. Furthermore, we discuss the high-performance applications of BC in medicine and health promotion, focusing on its efficacy as a wound dressing, artificial skin, and drug-delivery vehicle. Finally, current challenges in large-scale production and future strategies for tailoring BC properties are addressed. Full article

Background/Objectives: Iron deficiency early in life can impair infant growth and cognitive development. Here, we follow infants’ plasma ferritin levels—an indicator of iron stores—over the first year of life and relate these to birth characteristics, maternal characteristics, and infant feeding. Methods: Children and their mothers enrolled in the Swedish birth cohort NICE (ClinicalTrials.gov identifier: NCT05809479) were followed from pregnancy to twelve months postpartum. Plasma ferritin was quantified in umbilical cord blood at birth (n = 345), in venous plasma at four months after birth (mother–infant dyads, n = 133), and at twelve months of age (n = 158), using sandwich ELISA. Perinatal and postnatal growth, together with infant and maternal characteristics, were extracted from medical birth records. Breastfeeding and formula feeding were assessed using repeated monthly questionnaires during the first year. Longitudinal changes were analyzed using linear mixed-effects models, and factors associated with ferritin concentrations were examined using Spearman correlations, linear regression models, and segmented generalized additive models. Results: The ferritin concentration declined over time (birth: 267 ng/mL; four months: 146 ng/mL; twelve months: 30 ng/mL). Boys had lower ferritin levels than girls at all timepoints. Ferritin status at four and twelve months was positively associated with ferritin concentrations in cord blood and with gestational age. Breastfeeding and formula feeding were not associated with ferritin concentrations. Conclusions: Infant sex, cord ferritin concentrations, and maternal ferritin concentrations were independently associated with infant ferritin concentrations across the first year of life, whereas neither breastfeeding nor formula feeding was associated with ferritin concentrations in the present analyses. Infant sex, cord ferritin, and maternal ferritin measured four months postpartum may help identify children at risk of low iron stores, with maternal ferritin potentially offering a less intrusive alternative to repeated infant sampling. However, the clinical relevance and potential use of maternal ferritin as a proxy for infant ferritin concentrations require further investigation. Full article

Background/Objectives: Trastuzumab emtansine (T-DM1) is widely used in Human Epidermal Growth Factor Receptor2 (HER2)-positive metastatic breast cancer; however, outcomes vary, and reliable prognostic markers remain limited. We developed the CALA index as a composite biomarker integrating CA15-3, lactate dehydrogenase (LDH), and albumin. This study aimed to evaluate the prognostic value of the CALA index in metastatic breast cancer treated with T-DM1. Methods: This multicenter retrospective study included 168 patients treated with T-DM1 across four tertiary centers. The CALA index was calculated using pretreatment levels of CA15-3, LDH, and albumin. Receiver operating characteristic (ROC) curve analysis was used to determine the optimal cutoff value, and patients were stratified into groups accordingly. Survival outcomes and independent risk factors were assessed using Kaplan–Meier and Cox regression analyses. Results: The median overall survival (OS) was 26 months (95% CI: 21.3–30.7). ROC analysis identified an optimal CALA cutoff value of 118.3. Patients with CALA ≤ 118.3 demonstrated significantly longer OS compared with those with CALA > 118.3 (log-rank p = 0.006), with 1- and 3-year OS rates of 81.2% and 43.2% versus 69.8% and 22.7%, respectively. In univariate analysis, CALA > 118.3 was associated with worse OS (HR: 1.699; 95% CI: 1.151–2.506; p = 0.008), and this association remained significant in multivariate analysis (HR: 1.671; 95% CI: 1.088–2.565; p = 0.019). Conclusions: The CALA index was associated with overall survival in metastatic breast cancer treated with trastuzumab emtansine and may serve as a practical tool for risk stratification. Full article

Objectives: The present study aimed to evaluate the sexual dimorphism of skeletal and dental anomalies in Romanian orthodontic patients and to describe several important cephalometric measurements in patients with dental malocclusions. Materials and Methods: A total of 450 orthodontic records of patients older than 8 years were evaluated. On lateral cephalometric radiographs, the following cephalometric angles were digitally determined: SNA, SNB, ANB, FMA, IMPA, Max1-FH, SN-Go-Gn, N-A-Pog, Ar-Go-Me, and interincisal angle. The sagittal skeletal and dental malocclusions were diagnosed by two calibrated investigators. Results: The sample comprised 58% females, with a mean age of 20.07 (±8.63) years. The prevalence of dental malocclusions within the Romanian orthodontic sample taken into study was: 50.7% class I, 26.7% class II division 1, 13.3% class III, 4.7% class II, and class II division 2. The prevalence of skeletal anomalies within the Romanian orthodontic patient sample was: 43.3% class I, 28.7% class II due to retrognathic mandible, 17.3% class II due to prognathic maxilla, 8.7% class III due to prognathic mandible, and 2% class III due to retrognathic maxilla. Female patients presented more frequently with Class I or Class II division 2 malocclusion, whereas male patients more frequently exhibited Class III malocclusion. Female patients exhibited skeletal Class II more frequently due to retrognathic mandible, while skeletal Class III, due to prognathic mandible, was more common in male patients. Male patients were more frequently normodivergent, while female patients were more frequently hyperdivergent. Female patients exhibited retroclined upper incisors more frequently, whereas male patients exhibited proclined upper incisors more frequently. Most of the patients with class II division 1 malocclusion were females and exhibited the following cephalometric characteristics: a class II skeletal anomaly due to retrognathic mandible, normal SNA angle, decreased SNB angle, increased ANB angle, proclined upper incisors, proclined lower incisors, decreased interincisal angle, normal vertical growth pattern, closed mandibular angle, and convex facial profile. Most of the patients with class II division 2 malocclusion were females and exhibited the following cephalometric characteristics: a class II skeletal anomaly due to retrognathic mandible, normal SNA angle, decreased SNB angle, increased ANB angle, retroclined upper incisors, proclined lower incisors, increased interincisal angle, hypodivergent vertical growth pattern with a short face tendency, closed mandibular angle, and convex facial profile. Most of the patients with class III malocclusion were males and exhibited the following cephalometric characteristics: both class I and III skeletal anomaly due to prognathic mandible, normal SNA angle, increased SNB angle, decreased ANB angle, proclined upper incisors, normally inclined lower incisors, increased interincisal angle, hypodivergent, normal vertical growth pattern, and a short face tendency, normal mandibular angle, and balanced facial profile. Conclusions: The observed cephalometric differences between Class I, II and III malocclusions provide clinically relevant markers in vertical, sagittal, and dental dimensions that may provide descriptive reference data for similar orthodontic clinical samples. Full article