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Nanoparticles are often engineered as a scaffolding system to combine targeting, imaging and/or therapeutic moieties into a unitary agent. However, mostly overlooked, the nanomaterial itself interacts with biological systems exclusive of application-specific particle functionalization. This nanoparticle biointerface has been found to elicit specific biological effects, which we term ‘ancillary effects’. In this Review, we describe the current state of knowledge of nanobiology gleaned from existing studies of ancillary effects with the objectives to describe the potential of nanoparticles to modulate biological effects independently of any engineered function; evaluate how these effects might be relevant for nanomedicine design and functional considerations, particularly how they might be useful to inform clinical decision-making; identify potential clinical harm that arises from adverse nanoparticle interactions with biology; and, finally, highlight the current lack of knowledge in this area as both a barrier and an incentive to the further development of nanomedicine. Nanoparticles used for biomedical applications might elicit unexpected adverse or beneficial biological effects unrelated to the function for which they were designed. In this Review, the authors describe some of these ‘yin and yang’ ancillary effects, and discuss their implications for nanomedicine development.

Flower based nanoparticles has gained a special attention as a new sustainable eco-friendly avenue. Rosa floribunda charisma belongs to modern roses with bright yellow, red flowers with marvellous rose scent. Different methods were used for the extraction of its floral scent such as hexane, microwave, and solid-phase micro-extraction. The latter was the most efficient method for the extraction of phenyl ethyl alcohol, the unique scent of roses. In the current study, magnesium nanoparticles (RcNps) have been synthesized using Rosa floribunda charisma petals that have privileges beyond chemical and physical routs. RcNps formation was confirmed using UV–Visible (UV–Vis) Spectroscopy, Fourier Transform Infrared Spectroscopy (FTIR), High Resolution-Transmission Electron Microscope (HR-TEM), Field Emission-Scanning Electron Microscope (FE-SEM), Energy dispersive X-ray (EDX), X-ray Diffractometer (XRD), and X-ray photoelectron spectroscopy (XPS). HR-TEM images detected the polyhedral shape of RcNps with a diverse size ranged within 35.25–55.14 nm. The resulting RcNps exhibited a high radical scavenging activity illustrated by inhibition of superoxide, nitric oxide, hydroxyl radical and xanthine oxidase by by IC 50 values 26.2, 52.9, 31.9 and 15.9 µg/ml respectively as compared to ascorbic acid. Furthermore, RcNps at concentration of 100 µg/ml significantly reduced xanthine oxidase activity (15.9 ± 0.61 µg/ml) compared with ascorbic acid (12.80 ± 0.32 µg/ml) with p  < 0.05. Moreover, RcNps showed an excellent antiaging activity demonstrated by inhibition of collagenase, elastase, hyaluronidase and tyrosinase enzymes in a dose-dependent manner with IC 50 values of 58.7 ± 1.66 µg/ml, 82.5 ± 2.93 µg/ml, 191.4 ± 5.68 µg/ml and 158.6 ± 5.20 µg/ml as compared to EGCG respectively. RcNps also, exhibited a promising antibacterial activity against three skin pathogens delineate a significant threat to a public health, as Staphylococcus epidermidis , Streptococcus pyogenes , and Pseudomonas aeruginosa with MIC of 15.63, 7.81, 31.25 µg/ml as compared to ciprofloxacin (7.81, 3.9 and 15.63 µg/ml). Moreover, RcNps suppressed the formation of biofilms with minimum biofilm inhibitory concentrations 1.95, 1.95, 7.81 µg/ml against the fore mentioned strains, respectively. Overall, our findings indicate that Rosa floribunda nanoparticles could be used as a leading natural source in skin care cosmetic industry.

Poly(methyl methacrylate) (PMMA) is the primary material for dental applications, but it suffers from limitations such as poor wear resistance and long-term durability. To address these shortcomings, this work presents a new and cost-effective hybrid nanofiller system comprising hydroxyapatite (inorganic nanoparticles) and date seed (organic nanoparticles) for reinforcing PMMA denture bases. This study specifically investigates the reinforcement of heat-polymerized PMMA with this new hybrid nanofiller. Comprehensive material characterization was performed using XRD, DSC, SEM, TEM, and EDX. The findings demonstrate that PMMA composites with 0.2-1 wt% hybrid nanoparticles, particularly at 0.6 wt%, showed enhanced mechanical and tribological performance compared to the pure polymer. Specific improvements included a 30.99% decrease in the coefficient of friction, a 37.39% reduction in wear rate, a 31.92% increase in compressive strength, and a 9.87% improvement in surface hardness.

Drilling and blasting remain the preferred technique used for rock mass breaking in mining and construction projects compared to other methods from an economic and productivity point of view. However, rock mass breaking utilizes only a maximum of 30% of the blast explosive energy, and around 70% is lost as waste, thus creating negative impacts on the safety and surrounding environment. Blast-induced impact prediction has become very demonstrated in recent research as a recommended solution to optimize blasting operation, increase efficiency, and mitigate safety and environmental concerns. Artificial neural networks (ANN) were recently introduced as a computing approach to design the computational model of blast-induced fragmentation and other impacts with proven superior capability. This paper highlights and discusses the research articles conducted and published in this field among the literature. The prediction models of rock fragmentation and some blast-induced effects, including flyrock, ground vibration, and back-break, were detailed investigated in this review. The literature showed that applying the artificial neural network for blast events prediction is a practical way to achieve optimized blasting operation with reduced undesirable effects. At the same time, the examined papers indicate a lack of articles focused on blast-induced fragmentation prediction using the ANN technique despite its significant importance in the overall economy of whole mining operations. As well, the investigation revealed some lack of research that predicted more than one blast-induced impact.

The SARS-CoV-2 virus's frequent mutations have made disease control with vaccines and antiviral drugs difficult; as a result, there is a need for more effective coronavirus drugs. Therefore, detecting the expression of various diagnostic biomarkers, including ncRNA in SARS-CoV2, implies new therapeutic strategies for the disease. Our study aimed to measure NEAT-1, miR-374b-5p, and IL6 in the serum of COVID-19 patients, demonstrating the correlation between target genes to explore the possible relationship between them. Also, the association between target genes and patients' clinical findings and radiological severity indices will be explored. The current study included 48 COVID-19-infected individuals and 40 controls. Quantitative real-time PCR (qPCR) was performed to detect lncRNA NEAT-1 and miRNA374b-5p fold change (FC) in the participants' sera. Enzyme-Linked Immune Sorbent Assay (ELISA) is used to detect IL6. Our results showed statistical significance with lower levels of (NEAT-1) [ median (range) = 0.08 (0.001-0.602)], and (miR374b-5p) [ median (range) = 0.14 (.01-7.16)] while higher IL-6 levels [ median (range) = 41.3 (7.2-654) pg/ml] when compared to controls with p-value <0.001. Serum level of NEAT-1 correlates negatively with IL-6 level (r = -.317, P = .008). ROC curve analysis revealed that sensitivity and specificity tests for NEAT-1 and IL-6 levels in the diagnosis of cases illustrated a sensitivity of (100% and 97.9%) and a specificity of (85% and 100%) at cut-off values (0.985 and 12.55), respectively. In comparison, miR374b-5p showed sensitivity and specificity of around 85% in distinguishing COVID-19 patients from controls. No significant association was detected between target genes and radiological severity indices. Our study is the first to detect decreased NEAT-1 and miR374b-5p expression in COVID-19 patients' serum. There was also an increase in IL6 levels. There is a negative correlation between NEAT-1 and IL6 in COVID-19 patients.

Enhancing the mechanical reliability of dental restorative materials is essential for improving long-term clinical performance. This study examined the mechanical, tribological, morphological, and thermal properties of Bis-GMA/TEGDMA (50/50 wt%) composites reinforced with silicon carbide (SiC) nanofibers and nanoparticles. Seven formulations were prepared: a control, three nanofiber composites (0.1–0.3 wt%), and three nanohybrid systems. All samples were photo-cured using strong, flashing, and gradually strong LED modes. Mechanical behavior was evaluated via Shore hardness and compression testing, while tribological performance was assessed using pin-on-disc wear analysis. SEM, XRD, and DSC provided structural and thermal characterization. SiC incorporation produced clear composition-dependent effects. Hardness increased by 3.5% in the 0.2% nanofiber composite relative to the control. The same formulation showed the greatest mechanical enhancement, with a 13.2% increase in compression strength, whereas the 0.3 wt% hybrid composite exhibited a 34% decrease, indicating overloading effects at higher hybrid content. Tribologically, both the 0.2% nanofiber and 0.3% hybrid composites demonstrated improved resistance to wear, exhibiting minimal weight loss. Curing mode significantly influenced all measured properties, with strong-mode curing yielding the highest overall performance. These findings highlight the potential and limitations of SiC-based reinforcement strategies for developing next-generation dental composites.

The susceptibility of high-strength cementitious composites to explosive spalling under elevated temperatures necessitates the development of sustainable, fire-resistant alternatives for structural applications. This study comparatively evaluates the thermo-mechanical performance and spalling resistance of high-strength alkali-activated slag mortar (HSAAM) and ordinary Portland cement-based mortar (HSCM) under rapid fire scenarios. HSAAM was synthesized using granulated blast-furnace slag (GGBFS), while HSCM incorporated silica fume (SF) to achieve comparable compressive strength. Specimens were exposed to short-term elevated temperatures (200–600 °C) at 10 °C/min, with dwell times of 10–30 min, followed by furnace cooling or water quenching. Residual mechanical properties (compressive strength, tensile strength, impact resistance), thermal insulation, mass loss, and microstructural evolution were systematically analyzed. Results revealed that HSAAM exhibited complete spalling resistance up to 600 °C, whereas HSCM suffered partial spalling at 400 °C and catastrophic failure under water cooling. After 10 min at 400 °C, HSAAM retained 66.8% compressive strength (52 MPa) and 82% tensile strength (1.66 MPa), while HSCM retained 102% compressive strength (77.5 MPa) but experienced 10% specimen failure. HSAAM demonstrated superior thermal insulation, with core temperatures 44% lower than HSCM at 400 °C. Microstructural analysis via SEM/EDS identified a nano-porous matrix in HSAAM, facilitating vapor release and mitigating internal pressure. These findings position alkali-activated slag mortars as a robust, fire-resilient alternative to conventional cementitious systems in high-temperature environments.

In the developed world, extreme prematurity is the leading cause of neonatal mortality and morbidity due to a combination of organ immaturity and iatrogenic injury. Until now, efforts to extend gestation using extracorporeal systems have achieved limited success. Here we report the development of a system that incorporates a pumpless oxygenator circuit connected to the fetus of a lamb via an umbilical cord interface that is maintained within a closed ‘amniotic fluid’ circuit that closely reproduces the environment of the womb. We show that fetal lambs that are developmentally equivalent to the extreme premature human infant can be physiologically supported in this extra-uterine device for up to 4 weeks. Lambs on support maintain stable haemodynamics, have normal blood gas and oxygenation parameters and maintain patency of the fetal circulation. With appropriate nutritional support, lambs on the system demonstrate normal somatic growth, lung maturation and brain growth and myelination. The ability to support the development of a premature fetus in the form of an extracorporeal system has had limited success. Here, the authors show that an extra-uterine device that mimics the intra-uterine environment can provide physiologic support for the extreme premature lamb fetus for four weeks.

In the field of oncology imaging, the fusion of magnetic resonance imaging (MRI) and positron emission tomography (PET) modalities is crucial for enhancing diagnostic capabilities. This article introduces a novel fusion method that leverages the strengths of both modalities to overcome limitations associated with functional information in MRI and the spatial resolution in PET scans. Our approach integrates the Laplacian pyramid for extracting high and low-frequency components, along with empirical mode decomposition and phase congruency to preserve crucial structural details in the fused image. Additionally, a rolling guidance filter is employed to mitigate edge detail loss. Through extensive comparative experiments on multi-focus and multi-modal image datasets, our method consistently outperforms existing techniques in terms of visualization, objective metrics, and computational efficiency. The proposed fusion method demonstrates superior performance, establishing it as a compelling alternative for oncology imaging applications.