Search Results (5,758)

Conventional diagnosis of chronic kidney disease (CKD) relies predominantly on invasive blood-based examinations, limiting the scalability of kidney health screening in resource-constrained environments. This study presents embedded engineering framework for non-invasive, breath-based CKD staging framework supported by machine learning and implemented on a low-cost embedded platform. To account for physiological sex differences in baseline creatinine production, estimated glomerular filtration rate (eGFR) values and breath ammonia concentrations were derived from two independent clinical cohorts using sex-specific MDRD equations (incorporating the standard male formula and the $0.742$ female correction factor, respectively) and creatinine–BUN conversion models, with male- and female-parameterized algorithms developed in parallel. The resulting feature space was analyzed using four unsupervised clustering approaches to stratify subjects into five clinically meaningful kidney function stages. Stage-specific ammonia thresholds were implemented within an Arduino Nano-based prototype equipped with an MQ-137 gas sensor and OLED display, enabling real-time point-of-care classification. Dataset-level classification accuracy reached 82% for the male algorithm and 92% for the female algorithm. Hospital-based validation on 29 patients (22 male, 7 female) yielded a real-world testing accuracy of 90.5% ($20/22$) for male patients and 71.4% ($5/7$) for female patients, a discrepancy largely attributable to the small female sample size. Because the current evaluation lacks healthy control subjects and is constrained by sample size, these empirical results serve primarily to demonstrate hardware-software functional integration and real-world deployment feasibility rather than definitive clinical efficacy. Despite these preliminary, sample-limited clinical datasets, results suggest this approach holds promise as an accessible, non-invasive screening complement to conventional diagnostic pathways, particularly in low-resource healthcare settings. Full article

Engineered nanoparticles (ENPs) are being used with increasing frequency in industrial and consumer products across applications in industry, agriculture, ecology, and biomedicine. The unique physicochemical characteristics that make nanoparticles desirable in product design also affect their fate in the environment, interactions with living systems, and mechanisms of toxicity. Traditional testing methods and toxicological paradigms based on dissolved chemicals are poorly suited to understand ENP risks, primarily due to their small size, large SA:Vs, increased reactivity, and a surface chemistry that can be tuned during synthesis. Nanoparticle toxicity is dependent on complex relationships between particle characteristics, transformations in the environment, resulting exposure scenarios, and biological effects. Here we review ENP toxicity across a property → transformation → exposure → toxicity continuum, with a focus on how particle properties affect environmental and biological transformations relevant to toxicity. Properties such as size, shape, surface chemistry, dissolution, redox activity, and aggregation propensity are reviewed with respect to effects on transport and bioavailability, cellular uptake, biodistribution, and toxicity mechanisms. Transformations including aggregation, oxidation, dissolution/sulfidation, aging and eco-corona formation are discussed with regard to impacts on exposure and risk. Finally, major mechanisms of toxicity including oxidative stress, ion toxicity, membrane damage, inflammation, and genotoxicity are discussed with regard to nano–bio interactions. Analytical challenges associated with studying ENPs, shortcomings of the current risk assessment methods, and emerging Safe-by-Design approaches are also reviewed. Furthermore, connections between the fields of engineered nanoparticle toxicology and microplastics/nanoplastics are discussed, with particular focus on overlapping physicochemical properties, transformations, exposures, and biological mechanisms. Full article

This study evaluated the effects of oligomeric ultrafine-nano hydrogen water (OUHW) on production performance, egg quality, egg nutrient deposition, systemic metabolism, intestinal barrier function, and reproductive status in late-laying hens. Unlike conventional hydrogen-rich water, which primarily delivers molecular hydrogen dissolved in water, OUHW integrates oligomeric water with ultrafine-nano-sized hydrogen bubbles, providing a distinct physicochemical form of hydrogen-water intervention. A total of 288 healthy 67-week-old Jingfen No. 8 laying hens were assigned to 2 treatments with 6 independent replicates per treatment (24 hens per replicate) and provided with either tap water or OUHW for 11 weeks. Compared with the control, OUHW reduced the feed conversion ratio and the rates of manure-spotting while increasing the laying rate, qualified egg rate, and total egg number during weeks 5–8 (p < 0.05). These productive and egg quality improvements were phase-specific effects observed in the late laying stage during the 11-week trial. At week 4, OUHW significantly increased egg weight (p < 0.05). At week 8, OUHW also improved eggshell compressive elastic deformation, eggshell thickness, albumen height, and Haugh unit (p < 0.05). At week 6, eggs from OUHW-treated hens had higher concentrations of glutamate, glycine, alanine, C18:0, C18:1n9c, C20:4n6, and C22:6n3 (p < 0.05). Serum metabolomics showed that 25 differential metabolites from the OUHW treatment group were predominantly enriched in glycerophospholipid, sphingolipid, branched-chain amino acid, histidine, and tryptophan metabolism. In the cecum, OUHW decreased p-cresol and increased isovaleric acid and acetic acid (p < 0.05). Notably, the overall community structures of the cecal and oviductal microbiota exhibited no significant treatment-related alterations, indicating limited structural changes in the microbial communities in response to the OUHW intervention. OUHW also reduced interleukin-2 and tumor necrosis factor-α, increased interleukin-10 in the jejunum and oviductal isthmus (p < 0.05), and upregulated the mRNA expression of ovarian steroidogenic acute regulatory protein and intestinal Occludin, Claudin-1, and Mucin-2 (p < 0.05). These findings indicate that OUHW improved laying performance, egg quality, and egg nutrient deposition, possibly through modulation of the metabolism, intestinal barrier function, ovarian function, and oviductal inflammation. Full article

A hard protein corona was engineered onto tannic acid-modified magnetic nanoparticles (SAMN@TA), a magnetic and luminescent core–shell nano-carrier, using bovine serum amine oxidase (BSAO), an enzyme catalyzing the oxidation of polyamines and producing the corresponding aldehydes and hydrogen peroxide. The absorption and intracellular bioactivity of the self-assembled multimodal SAMN@TA@BSAO were investigated on an intestinal barrier model built with human colorectal adenocarcinoma (Caco-2) cells. The tailored BSAO corona possessed fouling resistance and, at the same time, was able to activate the clathrin-mediated endocytosis (CME) mechanism. Despite its size and intrinsic complexity, the nano-vehicle was effectively transported across the cell layer, safely transiting across the cell cytoplasm and reaching the lumen. As a function of intracellular polyamine concentration, the system’s biological activity induced intracellular oxidative stress, leading to the activation of the Keap1/Nrf2 oxidative protection pathway. The SAMN@TA@BSAO effect was well described by a dose–response curve with an EC₅₀ of around 30 µg mL⁻¹ and a programmable killing efficiency (>50.0%), recalling the feasibility of a low molecular weight drug administration. The present study contributes to the nascent knowledge on engineering protein corona as a key to rationally design nanomaterials for biomedical applications. Full article

Biochar has traditionally been investigated as a soil amendment for improving fertility, carbon sequestration, and nutrient retention. However, recent advances in fine milling, colloidal stabilization, and nanotechnology have enabled the development of biochar-derived materials for foliar application. Unlike conventional soil application, foliar delivery enables direct interaction with leaf tissues, potentially providing faster physiological responses, improved resource-use efficiency, and complementary functions to existing plant biostimulants. This review critically evaluates the scientific basis, agronomic performance, and regulatory implications of foliar biochar applications across diverse crop systems. We synthesize and compare major formulation types, including finely milled suspensions, aqueous extracts, nano-biochar dispersions, and biochar-based composite carriers, based on their formulation characteristics, application methods, and reported biological effects. Across multiple crops, foliar biochar has been associated with enhanced chlorophyll content, improved gas exchange, strengthened antioxidant systems, better osmotic adjustment, and increased nutrient uptake, particularly under abiotic stresses such as salinity, drought, and heat. Mechanistically, these responses are linked to surface deposition effects, redox-active functional groups, modulation of leaf microclimate, and delivery of soluble bioactive compounds. Nevertheless, outcomes remain highly context-dependent, influenced by feedstock origin, pyrolysis conditions, particle size, formulation chemistry, dose, and crop species. Potential risks including phytotoxicity, nanoparticle exposure, environmental fate, and regulatory ambiguity especially for nano-scale formulations pose additional challenges for large-scale adoption. By integrating physiological, agronomic, environmental, and legislative perspectives, this review also highlights key barriers to commercialization, including formulation stability, limited field-scale validation, environmental safety, and regulatory uncertainty, while identifying research priorities needed to determine whether foliar biochar can become a scalable and scientifically validated biostimulant for sustainable agriculture. Full article

The morphology and pore structure of ZSM-48 zeolite are critical parameters determining the catalytic performance of bifunctional catalysts in the hydroisomerization of long-chain n-paraffins. This study investigates the effects of the Na₂O/SiO₂ molar ratio (0.02–0.12) in the synthesis gel and hydrothermal treatment duration (48–72 h) on the crystallization kinetics, phase purity, and physicochemical properties of ZSM-48. Low alkalinity (Na₂O/SiO₂ = 0.04–0.06) and shorter synthesis times (48 h) promote the formation of small aggregates composed of short needle-like crystals with enhanced intercrystalline mesoporosity. Conversely, increasing the alkalinity and crystallization duration accelerates crystal growth, resulting in dense pseudo-spherical aggregates (up to 4–7 μm in size) with restricted external surface area and increased diffusion limitations. Catalytic testing of Pt/ZSM-48 (0.5 wt.% Pt) in n-hexadecane hydroisomerization demonstrates that crystal morphology, size, and porosity significantly influence process selectivity. The catalyst based on nanosized ZSM-48 (Pt/Z48-06-2) effectively mitigates diffusion resistance, yielding a maximum isomer yield of 73% at 82% selectivity. In contrast, larger, densely packed aggregates with high but poorly accessible acidity intensify secondary hydrocracking reactions, reducing a maximum isomer yield to 46%. These results highlight the ability to tune the catalytic properties of ZSM-48 through careful control over gel alkalinity and crystallization kinetics. Full article

Coatings based on polyvinylidene fluoride (PVDF) and poly(dimethylsiloxane) (PDMS)-based polymeric microspheres can be easily fabricated via non-solvent-induced phase separation (NIPS) and electrostatic spraying (ES) techniques. Both techniques are promising strategies for constructing superhydrophobic surfaces on various substrates. However, PVDF and PDMS inherently suffer from severe aggregation, which generates oversized particles and inhomogeneous microstructures. Conventionally, costly and environmentally hazardous dispersants are required to alleviate this issue, severely restricting the industrial scalability and practical application of such coatings. In this work, methyltrimethoxysilane-modified cellulose nanocrystals (Si-CNCs) were introduced as a green multifunctional modifier to tackle these issues. The results revealed that as structural building blocks and dispersants, Si-CNCs inhibited polymer aggregation via electrostatic repulsion and steric hindrance, refined the particle size and formed uniform micro/nano hierarchical structures. Increasing Si-CNC loading further improved polymer dispersion and superhydrophobic performance. Coatings fabricated by ES showed better hydrophobicity than those fabricated by NIPS. ES achieved a water contact angle (WCA) of 160–166° and a sliding angle (SA) near 1° on cotton fabric, while NIPS had a WCA of 153.8–158° and an SA of around 2°. Wood and glass substrates also obtained favorable superhydrophobicity, with WCAs above 150° and SAs below 1°. Furthermore, all modified surfaces exhibited excellent abrasion resistance. This work provides a relatively eco-friendly, environmentally sustainable, scalable and substrate-flexible strategy for fabricating high-performance PVDF/PDMS-based superhydrophobic coatings. Full article

Laser cladding technology is a widely applied surface modification technique; but its inherent process characteristics render it susceptible to cracking. The addition of rare earth oxides has proven to be an effective approach for curbing crack formation and enhancing the comprehensive performance of the coating. This review summarizes the mechanisms by which rare earth additives improve the coating microstructure, molten bath behavior, and interfacial bonding strength, including adjusting surface tension, purifying the molten bath, and forming interatomic chemical bonding. The addition of rare earth oxides significantly improves the forming quality of materials, which contributes to a finer and more uniform microstructure and directly enhances material hardness and resistance to plastic deformation, thereby altering wear behavior and improving wear resistance. The increased hardness provides better support for the surface oxide film, while the improved microstructure mitigates galvanic corrosion and intergranular corrosion susceptibility, leading to enhanced corrosion resistance. In addition, the article incorporates relevant quantitative analysis to provide a reference basis for the type selection, content optimization, and particle size selection of rare earth additives. This article provides a coherent framework for understanding how the addition of rare earths transfers its effects from the process to the performance. However, the industrial application of rare earth oxide laser cladding faces key bottlenecks such as additive deactivation under extreme conditions, threshold effects, nano-agglomeration, and cost constraints. Full article

To address the large model size, high computational cost, and limited deployment resources of keyword spotting models on edge platforms, this study proposes a collaborative multi-compression framework for lightweight deployment. Built on LiteKWS-Net, an attention-enhanced 2-D convolutional backbone, the framework combines adaptive importance-aware structured pruning, mixed-precision quantization, and quantization-aware multi-stage knowledge distillation. The retrained teacher reaches 97.90% (mean, 100,813 parameters, 0.385 MiB). MPDQ reaches 95.53 ± 1.16% at 8.27× theoretical weight compression. AIASP reaches 97.59% at a 30% target and 43.9% realized sparsity. The final joint model reaches 96.82% and, under ideal packed sparse mixed-precision storage, has a 51.55× theoretical weight-compression factor relative to the FP32 teacher; sparse-index overhead is excluded. On a Jetson Nano, the TensorRT FP16 network-body benchmark reports 2.86 ms latency and 0.69 mJ per inference. Full article

Thyroid cancer (TC) is one of the most common endocrine malignancies and ranks among the ten most frequently diagnosed cancers worldwide, highlighting the need for improved diagnostic and monitoring strategies. Extracellular vesicles (EVs) are nano-sized, membrane-enclosed particles released by nearly all cell types that carry selectively sorted bioactive cargo capable of influencing the behavior and fate of recipient cells. Although their molecular composition is shaped by their cells of origin, cargo loading is a regulated process that contributes to EV-mediated intercellular communication and cell-specific targeting. In TC, EVs have emerged as important mediators of tumor progression and microenvironment modulation. Recent advances underscore the diagnostic and prognostic value of EVs as non-invasive biomarkers, particularly through the detection of EV-associated non-coding RNAs, proteins, lipids, and other molecular signatures. However, methodological variability and limited clinical validation remain key barriers to clinical translation. Further preclinical and clinical studies are needed to establish the role of EVs in liquid biopsy and personalized targeted therapy for TC. This review provides a comprehensive and systematic overview of EVs in TC, with particular emphasis on methodological factors influencing EV research, including sample-specific isolation and characterization strategies. Based on a systematic literature survey, this review integrates current knowledge on EV-associated cargo, biological functions, biomarker and therapeutic potential while critically evaluating methodological challenges and outlining future directions for clinical translation. Full article

Selenium (Se) is an essential trace element for humans and animals, with nutritional functions and abiotic stress regulation capacity, and has been confirmed to alleviate heavy metal toxicity and inhibit its accumulation in crops. Soil lead contamination has become a prominent environmental safety problem in agricultural production, particularly in South China, and lead over-standard in edible crops poses irreversible threats to the human nervous system and blood circulation through food chain transmission. As an efficient exogenous antagonist, Se can comprehensively regulate the absorption, translocation, and compartmentalization of lead in soil–plant systems. This review systematically summarizes the interactive effects of soil physicochemical properties, crop genotypes, and Se speciation on plant lead uptake, and focuses on phytochelatin synthase (PCS), the core rate-limiting enzyme for intracellular heavy metal chelation, to elucidate the molecular cascade of Se-mediated PCS-dependent lead detoxification. We further outline multi-pathway agronomic Se applications for lead reduction; analyze key limiting factors, including Se concentration, application method, and rhizosphere microbial community; and discuss contradictory results and unresolved questions in existing studies. Current evidence confirms that appropriate Se treatment increases glutathione (GSH) content via antioxidant system regulation, upregulates PCS gene transcription and activity, promotes phytochelatins (PCs) polymerization, and forms stable PC-Pb complexes sequestered in vacuoles to reduce cytoplasmic lead mobility. Additionally, Se reshapes rhizosphere microbial community composition to lower soil Pb²⁺ bioavailability and enhances lignin and pectin biosynthesis in root cell walls to physically block root Pb²⁺ influx. Nevertheless, critical knowledge gaps remain unaddressed: (1) upstream signal transduction cascades triggering Se-induced differential PCS expression; (2) precise Pb²⁺ binding sites and affinity of PC oligomers; (3) valence-dependent disparities in selenate, selenite, and nano-Se (SeNPs) modulating PCS activity; and (4) standardized field Se fertilization protocols tailored to staple and tropical tuber crops such as cassava. This review provides systematic theoretical reference and technical foundations for dissecting Se-Pb antagonistic molecular networks, developing Se-enriched low Pb²⁺ functional fertilizers, and mitigating Pb²⁺ contamination risk in agricultural commodities. Full article

Diffractive optical elements (DOEs) have become core components for converting Gaussian beams into flat-top beams due to their advantages of flexible design, compact size, and precise control over light field distribution. However, during the fabrication of multi-step DOEs, some processes such as ion beam etching tend to produce etching depth errors, which cause deviations of the surface micro–nano phase structures from the designed values and thus severely degrade the beam shaping performance. This paper proposes a focusing DOE for flat-top beam shaping, which combines the focusing phase with the phase optimized by the weighted constraint iterative algorithm to establish a phase distribution resilient to etching depth errors. Thus, the proposed focusing DOE exhibits significantly improved robustness to etching depth errors and effectively reduces the structural complexity of laser optical systems. Our experimental results show that the designed DOE can stably convert the incident Gaussian beam into flat-top beams within the etching depth error range of ±30 nm, with both the flat-top beam uniformity and diffraction efficiency above 95%, and the maximum tolerable etching depth error reaches ±90 nm. Full article

Silicon (Si)-based amendments can regulate soil nitrogen (N) cycling and reduce gaseous N losses, but the effect of nano-Si particle size on mineral N dynamics and nitrous oxide (N₂O) emissions under flooded tropical paddy soil conditions remains unclear. This study aimed to elucidate how nano-Si particle size regulates mineral N dynamics and N₂O emissions, with particular emphasis on whether smaller particles promote ammonium N (NH₄⁺-N) dominance and more effectively mitigate N₂O emissions than larger particles. A 30-day flooded incubation experiment was conducted using tropical paddy soil amended with 15 or 50 nm nano-Si particles, each applied at 67 mg kg⁻¹ dry soil, alongside an unamended control. Mineral N dynamics, extracellular enzyme activities, N-cycling functional genes, and N₂O emissions were evaluated. Compared with the control, 15 nm and 50 nm nano-Si significantly increased NH₄⁺-N concentration by 16.4% and 5.25% while reducing nitrate N (NO₃⁻-N) concentration by 40.8% and 23.0%, respectively. The NO₃⁻-N/NH₄⁺-N ratio decreased significantly by 49.8% and 22.1%, indicating a particle-size-dependent shift toward NH₄⁺ dominance. The 15 nm treatment significantly enhanced β-N-acetylglucosaminidase and leucine aminopeptidase activities, supporting organic N turnover and NH₄⁺-N accumulation. It also significantly reduced the abundance of the nitrite reductase gene nirS, involved in denitrification, whereas the N₂O reductase gene nosZ, responsible for N₂O reduction, showed no consistent treatment-specific response. Consistently, cumulative N₂O emissions decreased significantly by 33.6% and 18.2% under 15 nm and 50 nm treatments, respectively. These results indicate that both nano-Si treatments significantly shifted mineral N dynamics toward NH₄⁺-N dominance and reduced cumulative N₂O emissions compared with the control. These responses were consistently stronger under the 15 nm treatment than under the 50 nm treatment, demonstrating that smaller nano-Si particles more effectively limit NO₃⁻-N accumulation, promote NH₄⁺-N retention, and mitigate N₂O emissions in flooded tropical paddy soil. Nevertheless, direct measurements of N-transformation rates, comparisons with conventional Si sources, and field-scale validation are required before practical application. Full article

A light-promoted C–H/C–H coupling of imidazo[1,2-a]pyridines with 5-(hetero)aryl-1,2,5-oxadiazolo[3,4-b]pyrazines was developed using a heterogeneous oxidative photocatalytic system based on molecular oxygen, nanosized TiO₂, and light irradiation. The method provides direct access to C3-heteroarylated imidazo[1,2-a]pyridines under metal-free conditions and expands the synthetic utility of electron-deficient oxadiazolopyrazine partners in the construction of biheteroaryl scaffolds. The synthesized compounds were evaluated computationally using a fully connected convolutional correlation neural network based on multiple-docking energy spectra, which prioritized the series as potential COX-1 and COX-2 ligands. To test this prioritization experimentally, all 18 compounds were screened in fluorometric COX-1 and COX-2 inhibitor assays at 1 µM. Compound 3f emerged as a strong preliminary COX-1 hit at 1 µM (86.64 ± 5.18% inhibition), whereas 3h and 3l showed weaker COX-1 inhibition. No compound showed high or moderate COX-2 inhibition at the screening concentration; only weak COX-2 inhibitory signals were observed for several derivatives. Thus, the combined synthetic, computational, and enzymatic data identify compound 3f as the main COX-1-skewed hit in this series and provide a basis for further dose–response, selectivity, and cell-based anti-inflammatory studies. It should also be noted that the COX-1 inhibition assay used ovine COX-1, whereas the computational models were built on human COX-1 and COX-2 structures; this species difference is an additional reason to treat the in silico–experimental comparison as approximate. Full article

Background/Objectives: This study engineered and evaluated a targeted, folate-functionalized chitosan nanoparticle (CS-FA NP) delivery system to enhance the therapeutic efficacy of standard quercetin and Coriandrum sativum seed extract against breast cancer. Methods: Phytochemical profiling confirmed a 14% crude yield for the methanolic extract, with gas chromatography–mass spectrometry (GC-MS) and high-performance liquid chromatography (HPLC) identifying quercetin as the principal bioactive agent. The synthesized CS-FA NPs exhibited a core size of 7–20 nm, an average hydrodynamic diameter of 150–160 nm, a stable zeta potential of −55 mV, and high encapsulation efficiencies (87.2% for quercetin and 80.5% for coriander). Kinetic assessments confirmed a biphasic, diffusion-controlled release matching Higuchi matrix kinetics. Anticancer activity was evaluated in vitro using MTT cytotoxicity, Annexin V-FITC/PI apoptosis analysis, RT-qPCR, and ex vivo rat aortic ring assays, followed by validation in a syngeneic 4T1 mammary tumor mouse model. Results: In vitro, folate-receptor-targeted quercetin nanoparticles (T4) demonstrated superior, selective cytotoxicity, particularly against triple-negative MDA-MB-231 cells, while sparing normal fibroblasts. Annexin V-FITC/PI apoptosis profiling and ex vivo aortic ring assays revealed profound, cell-line-dependent programmed cell death and up to 90% inhibition of microvessel sprout outgrowth. Mechanistically, RT-qPCR verified that nano-formulations induced complete transcriptional silencing of NANOG, MMP-1, VEGFA, TSPAN8, TWIST, EMMPRIN, and CDK1, alongside marked upregulation of P27^KIP1 and P21^CIP1. In vivo, these nano-formulations successfully improved tumor-associated pathological features, reduced aggressive tumor spindle-cell proliferation, and suppressed elevated serum CA15-3 and arginase biomarkers. Conclusions: Folate-functionalized chitosan nano-formulations significantly enhanced the anticancer efficacy of quercetin and Coriandrum sativum seed extract through improved targeted delivery, potent antiproliferative, anti-angiogenic, and pro-apoptotic activities, together with favorable modulation of multiple molecular pathways associated with breast cancer progression. These findings support their potential as promising targeted nanotherapeutic strategies for breast cancer treatment. Full article