Search Results (778)

In this study, a composite powder explosion suppressant (MVTS–NaHCO₃) was prepared via the wet coating method of the solution–crystallization (WCSC) process, using modified vanadium–titanium slag (VTS) as the carrier and NaHCO₃ as the active suppressive component. A 20 L spherical explosion apparatus and a transparent pipeline explosion propagation test system were employed to investigate the effects of the composite powder explosion suppressant with different mass fractions (0%, 10%, 20%, 30%, 40%, 50%) on the explosion pressure and micro-mechanism of polyacrylonitrile (PAN) dust. The experimental results indicated that the MVTS–NaHCO₃ composite powder exhibited a significant suppression effect on PAN dust explosions. In the confined 20 L vessel, complete suppression was achieved when the mass fraction of the composite powder explosion suppressant exceeded 30%, with a maximum explosion pressure reduction of 53.2%. In the semi-open pipeline, 40% composite powder explosion suppressant reduced the maximum explosion pressure to 0.08 MPa (a reduction rate of 82.6%), and complete suppression was achieved at a mass fraction of 50%. Microstructural analysis revealed that the suppression performance of the composite powder explosion suppressant is attributed to the synergetic effects of physical and chemical mechanisms. Physically, NaHCO₃ decomposes endothermically (100 kJ/mol), releasing CO₂ and H₂O and thereby diluting the oxygen concentration, while the porous structure of MVTS enhances dispersibility. Chemically, the hydroxyl groups on the surface of MVTS bond with NaHCO₃, delaying its decomposition, while metal hydroxides (e.g., Al(OH)₃) decompose thermally to form Al₂O₃, which adsorbs and quenches free radicals (e.g., ·OH, ·H), thereby inhibiting chain reactions. This study provides new insights for the resource utilization of VTS and the prevention and control of industrial dust explosions. The findings have important reference value for optimizing explosion suppressant formulations and improving the intrinsic safety. Full article

Objective: The objective of this study is to evaluate the ability of silver oxide nanoparticle (Ag₂ONP)-functionalized high-efficiency particulate air (HEPA) filters and colloidal Ag₂ONP suspensions to inhibit biofilm formation by major respiratory pathogens causing infections at operating rooms. Background: Respiratory infections caused by bacterial pathogens such as Streptococcus pneumoniae, Pseudomonas aeruginosa and Staphylococcus species are often associated with the formation of biofilms, which confer increased resistance to antibiotics and host immune responses. Effective strategies to prevent biofilm formation on biological surfaces and in air filtration systems are urgently needed in clinical settings. Methods: The biofilm-forming ability of each bacterial strain was assessed by crystal violet microplate assay, viable count or confocal microscopy after prior incubation of the culture medium with Ag₂ONP-coated HEPA filter material or colloidal Ag₂ONP suspension. Results: Both silver-functionalized filters and silver nanoparticle suspensions significantly inhibited biofilm formation by S. pneumoniae and P. aeruginosa, with near-complete suppression observed. In the case of S. aureus and S. epidermidis, the silver nanoparticle suspension showed partial inhibition of biofilm development. Conclusions: Ag₂ONP-functionalized HEPA filters and colloidal Ag₂ONP suspensions effectively prevent biofilm formation by major respiratory pathogens, for both Gram-negative and Gram-positive bacteria. These materials show promise for integration with air filtration and surface coating systems to reduce microbial load and transmission in healthcare environments such as operating room facilities. Full article

Background/Objectives: Despite advances in preventive dental care, tooth enamel erosion remains a relevant concern, and very few comparisons of surface topography have been carried out under controlled conditions in the laboratory. This study primarily aimed to conduct a qualitative morphological evaluation, supported by semi-quantitative image analysis, of the effects of commonly consumed beverages on human enamel morphology and colour, and to explore their relationship with beverage acidity in an in vitro model. Methods: Forty-two human teeth were allocated at random into seven different groups, each containing six molars. These groups were Coca-Cola, orange juice, lemon juice, coffee, chlorhexidine, regular mouthwash without chlorhexidine, and one control group. Following a 24 h exposure to a simulated saliva environment at 37 °C, the test samples were then subjected to a five-day erosion cycle. SEM analysis was used to examine the enamel alterations after evaluating the morphology of the enamel surface and by digital image analysis. Results: Scanning electron microscopy, SEM, showed how erosion of the teeth’s surface increased with the acidity of the drink. The extensive exposure of the crystal prisms, along with the severe loss of intercrystalline material and honeycomb weathering patterns, was all brought about by Coca-Cola and lemon juice. The moderate erosion brought on by orange juice in tests resulted in partially exposed prisms. Both the mouthwashes and the coffee exhibited similar impacts on the tooth enamel in a microscopic view. Minimal enamel prism rods were exposed due to either the coffee or the mouthwash. The surface characteristics were found through a digital image analysis, which indicated alterations in surface texture. Conclusions: Under these immersion conditions, highly acidic beverages produced the most pronounced enamel surface changes, whereas coffee induced mainly staining and neutral mouthwashes caused minimal modification. These results reflect qualitative morphological trends and should not be interpreted as clinical outcomes. Full article

Nephrolithiasis is a prevalent urological disorder worldwide, whose pathogenesis involves a complex network of crystal formation, cellular injury, and microenvironmental dysregulation. As a critical mechanism for regulating cellular functions, protein post-translational modifications (PTMs) have been increasingly implicated in multiple facets of kidney stone formation, including crystal–cell interactions, oxidative stress responses, and inflammatory signaling pathways. This review systematically synthesizes the biochemical foundations of PTMs, the molecular microenvironment of nephrolithiasis, and the roles of key modifications such as phosphorylation and acetylation in the pathogenesis of calculi. It further explores the translational potential of PTM detection technologies in clinical practice. Current evidence indicates that PTMs influence the nucleation, growth, and aggregation of crystals by modulating the activity of pro-/anti-lithogenic proteins, the expression of cell adhesion molecules, and inflammatory pathways. Consequently, therapeutic strategies targeting PTMs may offer novel avenues for the prevention and management of kidney stones. Future research should focus on integrating multi-omics approaches with functional validation to elucidate the dynamic regulatory networks of PTMs within the stone microenvironment, thereby advancing the development of precision medicine. Full article

Canine urolithiasis is a common and highly recurrent urinary tract disease, with struvite and calcium oxalate being the predominant stone types. Stone formation has traditionally been attributed to urinary physicochemical factors, including urine pH, mineral supersaturation, and urinary tract infection. However, these factors alone cannot fully explain the persistent growth and rapid progression of stones in affected dogs. In this study, we provide evidence that innate immune mechanisms, particularly neutrophil extracellular traps (NETs), are associated with canine urolith formation. We found that neutrophils, key cells of the innate immune system, release neutrophil extracellular traps composed of DNA and antimicrobial proteins, which are consistently present within urinary stones and their surrounding microenvironments. Common canine urinary pathogens were shown to trigger this response, and these immune-derived structures promoted crystal nucleation, aggregation, and stone growth in experimental systems. Importantly, enzymatic degradation of NETs by DNase I attenuated NET-associated stone growth under in vitro conditions. These findings suggest that canine urinary stones develop not only as a consequence of physicochemical factors, but also in association with inflammation-driven biomineralization processes involving NETs. Recognizing the contribution of innate immunity provides new insight into stone recurrence and may inform future preventive and therapeutic strategies. Full article

Solar-driven vapor generation (SDVG) emerges as a promising solution to the global freshwater crisis; yet, the scalable applications in seawater desalination are significantly hindered by the salt deposition. Herein, we report a self-floating biomass porous carbon with robust salt resistance derived from a simple, one-step carbonization of the Elymus nutans. The material features a natural hierarchical pore structure and superhydrophilicity, which work synergistically to ensure a rapid water supply and effectively prevent salt crystallization at the evaporation interface. Under 1 sun illumination (1 kW m⁻²), the biomass-derived carbon achieves a high evaporation rate of 1.41 kg m⁻² h⁻¹ with a solar-to-vapor conversion efficiency of 88.9%. More importantly, it demonstrates exceptional stability, maintaining stable evaporation in 3.5 wt% and 15 wt% NaCl solutions for over 12 h, with recorded rates of 1.33 and 1.16 kg m⁻² h⁻¹, respectively. The real seawater sample desalinating results verified the biomass-porous-carbon-realized high-efficient and robust solar-driven interfacial desalination. This work presents a sustainable, cost-effective, and salt-resistant material platform, offering a practical pathway for scalable solar desalination. Full article

Gout is the most common form of inflammatory arthritis in men, driven by hyperuricemia and the deposition of monosodium urate (MSU) crystals. The innate immune response to these crystals leads to acute inflammatory episodes, called flares, characterized by intense joint pain, swelling, and temporary disability. Although gout flares are self-limiting, they impose a considerable burden on patients’ quality of life and contribute to increased healthcare utilization. A detailed understanding of the inflammatory processes triggered by MSU crystals is critical for developing targeted therapies to prevent and manage flares effectively. This review provides an overview of experimental models used to study the inflammatory phase of gout, with a focus on both in vivo and in vitro models of MSU crystal-induced inflammation. We concentrate on models that reproduce the acute inflammatory response following MSU crystal deposition, including the air pouch, intraarticular injection, and peritonitis rodent models, alongside the larval zebrafish model. In addition, we discuss in vitro approaches using primary immune cells and cell lines. We discuss the strengths, limitations, and translational relevance of these models and highlight some examples of how they have contributed to our understanding of the etiology of gout. Of note, models of hyperuricemia are not included here as these have been extensively reviewed elsewhere. Full article

Over the past two decades, numerous studies have examined the etiological significance of DNA fragmentation in human sperm using methods such as the comet assay (CA), the sperm chromatin structure assay, the sperm chromatin dispersion assay, and the TUNEL assay. We developed single-cell pulsed-field gel electrophoresis techniques, including one-dimensional (1D-SCPFGE) and angle-modulated two-dimensional (2D-SCPFGE), to detect early signs of naturally occurring DNA fragmentation. Comparative studies using purified human sperm with and without DNA fragmentation revealed some technical limitations in the conventional methods. This technical review outlines the procedures to ensure the quantitative performance of SCPFGE: (1) The mass of naked DNA was prepared through simultaneous in-gel swelling and proteolysis, which are highly sensitive to chemical and physical factors. Notably, these processes are vulnerable to reactive oxygen species (ROS). We developed the anti-ROS SCPFGE system to prevent artifactual cleavages. (2) 1D-SCPFGE discharges long-chain fibers from the origin, separating fibrous and granular segments beyond the tips of the fibers. (3) During continuous electrophoresis after 150° rotation (2D-SCPFGE-0-150), long-chain fibers unexpectedly extended diagonally backward from the origin, with long fibrous segments pulled out from a bundle that extended during the first electrophoresis, indicating some fibrous segments were embedded within the long-chain fibers. Even when SCPFGE was employed, one-directional current led to false negatives. (4) 2D-SCPFGE with angle rotation is currently the most sensitive imaging method for single-nuclear DNA fibers. However, without knowing the size of DNA fragments, it remains a semi-quantitative analysis. (5) To prevent artifactual DNA cleavage caused by ice crystals, low-temperature liquid storage is recommended. (6) The in-gel proteolyzed naked DNA is suitable as a substrate for chemical and enzymatic DNA cleavage analyses. Full article

As a core non-mechanical beam-steering device, cascaded liquid crystal polarization gratings (CLCPGs) suffer from insufficient pointing accuracy due to inherent fabrication and assembly errors, which must be compensated by liquid crystal optical phased array (LCOPA). However, in practical working conditions, LCOPA is vulnerable to coupled internal and external disturbances as well as inherent time delays, which prevent accurate compensation and limit the performance of the integrated system. To overcome these challenges, this paper proposes a novel composite control strategy. An improved observer and an improved Smith predictor are designed to estimate and compensate for the total disturbances and time delays, and parameter tuning is accomplished using the phase margin method. The effectiveness of the proposed strategy is validated on a LCOPA coarse–fine two-stage compensation system experimental platform. The results demonstrate that the strategy can effectively suppress disturbances and compensate for LCOPA errors, reducing the overall pointing error by more than 30% and increasing the dynamic response speed by 25%, while exhibiting excellent robustness and stability. This study provides theoretical and technical support for the engineering application of high-precision CLCPG scanning systems. Full article

Precise temperature control is crucial for maintaining product quality and optimizing energy efficiency in multi-zone continuous crystallizers. However, such industrial processes typically exhibit complex nonlinear dynamics and strong coupling effects. More critically, physical constraints often prevent sensor installation, rendering temperatures in key regions unobservable and challenging traditional closed-loop control strategies. To address partial observability and model uncertainty, this paper proposes a Model-Based Reinforcement Learning (MBRL) framework utilizing solely offline historical data. The core innovation lies in developing a Recursive State Space Model (RSSM) that serves not only as a high-fidelity digital twin but, more critically, is deployed as a real-time “virtual sensor” to infer unobservable system states. This virtual sensing capability provides precise state estimates for downstream policy optimization. Additionally, a multi-objective reward function is designed to balance tracking error, stability, and control cost. Experimental results demonstrate that the proposed virtual sensor exhibits exceptional long-term stability, maintaining high fidelity and effectively suppressing error accumulation during long-term multi-step autoregressive predictions. Consequently, the trained agent outperforms traditional Proportional-Integral-Derivative (PID) and Model Predictive Control (MPC) controllers, achieving over 67% improvement in temperature tracking accuracy while reducing control action costs by more than 93%, indicating smoother system operation and enhanced energy efficiency. Full article

Despite the known association between calcium and magnesium in drinking water and stone risk, the difference in stone prevention of purified water remineralized with varying calcium-to-magnesium ratios (Ca:Mg) remains unclear. Objectives: This study investigates the impact of different Ca:Mg in the remineralization of purified water on calcium oxalate crystallization and renal injury. Methods: Sixty male Sprague-Dawley rats were induced calcium oxalate crystals by a sodium oxalate diet and divided into six groups, where they drank purified water with or without remineralized varying Ca:Mg (0.5, 3.4, 10, 20, 100). Serum and urine biomarkers of renal function, renal injury, mineral metabolism, bone metabolism, and urine calcium oxalate crystals were detected. Kidneys were isolated for pathological examination. Results: Findings showed that remineralization by 0.5 and 3.4 Ca:Mg significantly reduced urinary calcium oxalate crystallization, renal injury, and improved renal function, while extreme ratios (Ca:Mg over 10) showed no benefits. Conclusions: These results elucidate the pathophysiological effects of Ca:Mg in drinking water on renal health, particularly emphasizing the protective role of the 0.5 and 3.4 in inhibiting calcium oxalate crystallization and mitigating renal injury. It provides a quantifiable reference for purified water remineralization aimed at stone prevention. Full article

Background: Extraintestinal pathogenic Escherichia coli (ExPEC) poses significant health risks to poultry and humans, with biofilm formation often complicating treatment by enhancing bacterial persistence and resistance. Understanding the genetic mechanisms underlying this lifestyle transition is crucial for controlling infections. This study aimed to investigate the effect of biofilm formation on the transcriptional expression of specific biofilm- and virulence-associated genes in chicken-derived ExPEC strains. Methods: Biofilm formation conditions for three strong biofilm-producing chicken-derived ExPEC strains were optimized using an orthogonal experimental design (L₉(3³)), evaluating culture medium, incubation time, and initial inoculum concentration. Biofilm biomass was quantified via crystal violet staining. Subsequently, the transcription levels of 10 biofilm-associated genes and 17 virulence-associated genes were compared between planktonic and biofilm states using Reverse Transcription-quantitative PCR (RT-qPCR). Results: Optimal culture conditions varied among strains, though nutrient-rich media consistently promoted rapid biofilm formation. Transcriptional analysis revealed significant reprogramming in the biofilm state. Among biofilm-associated genes, flhC, tolA, qseC, mhpB, and bdcR were consistently and significantly upregulated across all strains (p < 0.05). Regarding virulence determinants, the expression of eaeA, LT, fimH, ompF, and iss was significantly upregulated (p < 0.05), whereas Sta levels were significantly reduced (p < 0.05). Conclusions: Biofilm formation induces a distinct transcriptional shift in chicken-derived ExPEC, simultaneously enhancing the expression of key genes involved in biofilm maintenance and pathogenicity. The conserved upregulation of flhC, tolA, qseC, mhpB, and bdcR suggests these genes are critical drivers of biofilm development. Consequently, they represent potential targets for novel therapeutic strategies aimed at preventing E. coli infections and eradicating biofilms in clinical and agricultural settings. Full article

Background and Clinical Significance: Phosphoglyceride crystal deposition disease (PCDD) is an extremely rare condition characterized by the deposition of phosphoglyceride crystals, occasionally forming tumor like lesions that present significant diagnostic challenges. Here, we report, to our knowledge, the first documented recurrent case of PCDD confined to the mandible, which clinically and radiologically mimicked a malignant bone tumor. Case Presentation: An 80-year-old female patient presented with a progressively enlarging mandibular mass, and imaging studies demonstrated an osteolytic lesion with cortical bone destruction and marked fluorodeoxyglucose uptake on positron emission tomography-computed tomography, raising a strong suspicion of malignancy. Histopathological examination revealed foreign-body granulomatous inflammation with characteristic crystal deposition, and the diagnosis of PCDD was definitively established through the combined use of gold hydroxamic acid staining, Raman spectroscopy, and ultrastructural analysis. Although surgical excision with curettage was initially achieved, local recurrence was observed 6 years later, indicating the potential for long-term disease persistence. In addition, a comprehensive literature review conducted in accordance with the PRISMA guidelines was performed to summarize previously reported cases of PCDD, with particular attention to anatomical distribution, radiological characteristics, recurrence patterns, and proposed pathogenic mechanisms. The review confirmed the extreme rarity of mandibular involvement and demonstrated that recurrence can occur apparently even after surgical treatment. Conclusions: This case underscores the importance of a multimodal diagnostic strategy integrating imaging, histopathology, and spectroscopic analyses for the accurate identification of PCDD and highlights the necessity of histopathological confirmation to prevent unnecessary aggressive treatment. Full article

This review introduces and elaborates a novel temporal paradigm, the “Gout Inflammation Time Programming” model, conceptualized through the Gout-STAT™ framework. This model redefines gout inflammation as a dynamic continuum progressing through three precisely timed phases: an acute Perception phase (0–24 h) initiated by monosodium urate (MSU) crystal recognition, triggering the NOD-like receptor thermal protein domain associated protein 3 (NLRP3) inflammasome and neutrophil-driven burst; a critical Adaptation phase (24–72 h) where outcomes are determined by immunometabolic reprogramming of macrophages and synovial fibroblasts; and a chronic Tissue Injury phase (>72 h) driven by epigenetic memory, leading to irreversible osteoarticular destruction. Deciphering this programmed timeline reveals distinct therapeutic windows. We propose a shift towards stage-specific precision interventions, targeting upstream triggers (e.g., mitochondrial reactive oxygen species(ROS), neutrophil extracellular trap formation (NETosis)) in the acute phase, correcting metabolic checkpoints (e.g., succinate accumulation, impaired autophagy) during adaptation, and employing tissue-protective strategies (e.g., epigenetic modulators) in the chronic phase. Furthermore, we highlight the pivotal role of cutting-edge translational technologies, such as intelligent drug delivery systems and digital twin joint models, in achieving spatiotemporal precision. Understanding this intrinsic molecular clock is fundamental for advancing gout management from reactive treatment to a predictive, preventive, and personalized 4P medicine approach. Full article

Background: Diabetic retinopathy (DR) poses a significant global health challenge that needs scalable and efficient screening pathways beyond the current limitations of teleophthalmology. This study retrospectively evaluated the diagnostic performance of an artificial intelligence (AI) DRISTi system (Version 2.1) against ophthalmologist grading for more-than-mild diabetic retinopathy (mtmDR), vision-threatening diabetic retinopathy (vtDR), and diabetic macular edema (DME). Methods: The methods involved a retrospective, observational, non-interventional validation comparing the AI DRISTi system’s output to ophthalmologist grading on 739 colour fundus images acquired using Topcon NWC 400, CrystalVue NFC 600/700, Canon CR2/CR2 AF, and Zeiss VISUCAM 500 cameras. Results: Primary outcomes included sensitivity and specificity, with statistical analyses utilizing 2 × 2 contingency tables and 95% confidence intervals. The AI system achieved an accuracy of 93.36% (sensitivity 95.03%; specificity 92.90%) for mtmDR, 98.64% (sensitivity 96.92%; specificity 99.01%) for vtDR, and 97.97% (sensitivity 92.85%; specificity 98.88%) for DME. Performance was robust and consistent across all evaluated camera types. Conclusions: In conclusion, the AI DRISTi system (Version 2.1) demonstrates strong diagnostic performance for mtmDR, vtDR, and DME, comparable to leading commercial AI systems, from fundus photographs acquired across multiple camera platforms. This system holds significant promise as an adjunctive screening tool for large-scale DR screening programs, contributing to early detection, appropriate triage, and the prevention of vision loss in at-risk populations. Full article