Search Results (2,947)

Bacterial cellulose (BC) has emerged as a structurally robust, biologically compatible, and highly adaptable biomaterial with significant potential for next-generation wound-care technologies. Its nanofibrillar, extracellular-matrix-like architecture provides exceptional moisture retention, mechanical stability, and conformability, enabling BC to function as an active scaffold rather than a traditional dressing. Advances in chemical modification, composite engineering, and bioactive functionalization, including antimicrobial metals, chitosan, biosurfactants, enzymes, and growth factors, have expanded BC’s therapeutic capabilities. Emerging smart BC dressings integrate biosensors, stimuli-responsive drug release, and 3D-printed architectures tailored to patient-specific wound geometries. Parallel developments in artificial intelligence (AI) are transforming BC production by optimizing bioprocessing, guiding genetic engineering, reducing culture media costs, and enabling real-time quality control, thereby improving scalability and industrial feasibility. These combined innovations position BC as a multifunctional, immunologically instructive, and digitally integrated platform for advanced regenerative wound care. This review reframes BC within the contemporary pathophysiology of chronic wounds, emphasizing its roles in immunomodulation, macrophage polarization, angiogenesis, mechanotransduction, and the disruption of mixed bacterial–fungal biofilms that characterize diabetic foot ulcers and other non-healing wounds. BC hydrogels typically contain >90–99% water and exhibit tensile strengths exceeding 200 MPa, enabling robust mechanical performance in wound environments. Advances in BC composites have demonstrated antimicrobial reductions of 3–5 log units against common chronic-wound pathogens. Full article

Cerium dioxide (CeO₂) has emerged as a structurally versatile oxide for dye-wastewater purification because its architecture, porosity, and surface accessibility can be tuned over a wide range while maintaining good chemical stability and environmental compatibility. Recent studies show that template-free or low-template routes can generate porous, mesoporous, multilayered, and flower-like CeO₂ architectures with rapid dye uptake and, in some systems, adsorption-assisted photocatalytic removal. However, CeO₂-based dye removal has often been discussed either within broad surveys of environmental applications or from composition-centered viewpoints, whereas the more fundamental question is how synthesis route controls architecture formation and how architecture, in turn, governs adsorption and subsequent removal behavior. This mini-review addresses that question from a morphology-centered perspective. It first examines template-free and low-template routes for constructing structured CeO₂, then discusses how porosity, hierarchical assembly, and surface accessibility regulate adsorption kinetics and equilibrium capacity in dye-containing aqueous systems. It further considers adsorption-assisted photocatalytic removal and argues that dark adsorption should be regarded as the structural first step rather than a secondary contribution. On this basis, the review shows that rare-earth doping in these systems is most usefully understood as a secondary tuning strategy that refines an already favorable host architecture by modifying surface interaction, optical response, or reactive-species generation. Overall, the available evidence indicates that CeO₂-based dye-wastewater purification is most meaningfully interpreted through a route–architecture–function framework in which morphology defines the host, adsorption organizes the local reaction environment, and doping serves mainly as structure-assisted tuning. This perspective shifts the design logic of CeO₂ from empirical performance optimization toward rational structure-directed construction of integrated removal platforms. Full article

Infectious complications remain a principal determinant of late morbidity and mortality following major thermal injury, reflecting a convergence of barrier disruption, microbial adaptation, and host immune dysfunction. The post-burn environment creates a uniquely permissive niche for pathogen persistence, characterized by altered tissue perfusion, biofilm formation, and dynamic shifts in microbial ecology toward multidrug-resistant organisms. Concurrently, profound and evolving changes in host immunity and metabolism reshape both susceptibility to infection and response to therapy. This review integrates current evidence across pathophysiology, microbiology, diagnostics, and treatment, with a focus on challenges that limit effective infection control in burn patients. Particular attention is given to diagnostic uncertainty arising from overlap between sterile inflammation and true infection, the clinical implications of biofilm-associated tolerance, and the impact of burn-specific pharmacokinetic variability on antimicrobial efficacy. We further examine emerging diagnostic and therapeutic innovations, including host-response profiling, rapid molecular detection platforms, and next-generation anti-infective strategies targeting microbial virulence, biofilm structure, and host immune pathways. Despite substantial scientific advances, translation into clinical practice remains constrained by limited burn-specific trials, heterogeneous definitions, and systemic barriers to antimicrobial development. Collectively, these challenges underscore the need for integrated, precision-based approaches that combine early source control, individualized antimicrobial optimization, and advanced diagnostic frameworks. Future progress will depend on coordinated efforts to standardize definitions, generate high-quality multicenter data, and align innovation with clinical applicability across diverse healthcare settings. Full article

Background/Objectives: Sporotrichosis is an emerging zoonotic subcutaneous fungal infection with limited therapeutic options, highlighting the need for improved immunomodulatory strategies. CTLA-4 is an inhibitory immune checkpoint that negatively regulates T-cell activation. In this study, we evaluated whether a CTLA-4 antisense oligonucleotide (CTLA-4 ASO) is associated with enhanced immune responses to an adjuvanted recombinant Sporothrix sp. enolase antigen (rSsEno) formulation. Methods: CTLA-4 ASO uptake, cytotoxicity, and gene-silencing activity were assessed in murine splenocytes in vitro. BALB/c mice were immunized with rSsEno formulated with Montanide Gel 01, either alone or in combination with 5 µg CTLA-4 ASO. Antigen-specific serum antibody responses were quantified by ELISA. Splenocytes from immunized mice were restimulated with enolase, and cytokine production (IFN-γ, IL-2, IL-17, and TNF-α) was measured using Cytometric Bead Array (CBA). Results: CTLA-4 ASO was efficiently internalized by splenocytes and was associated with reduced expression of CTLA-4 without detectable cytotoxicity in vitro. Mice receiving the ASO-supplemented formulation developed significantly higher anti-enolase antibody titers compared to those immunized with adjuvant alone. Upon antigen restimulation, splenocytes from ASO-treated mice produced higher levels of IFN-γ, IL-2, TNF-α, and IL-17, consistent with an enhanced recall response characterized by a mixed Th1/Th17 cytokine profile. Conclusions: CTLA-4 ASO was associated with an enhanced recall response characterized by a mixed Th1/Th17 cytokine profile. These findings suggest a potential immunomodulatory effect of CTLA-4 targeting. Further studies incorporating dose optimization, infection challenge models, and appropriate sequence controls are required to determine the specificity and relevance of these effects for protective immunity against sporotrichosis. Full article

Endoscopic bariatric and metabolic therapies (EBMTs) offer minimally invasive treatment options for obesity and related metabolic disorders such as type 2 diabetes mellitus (T2DM) and metabolic dysfunction-associated steatotic liver disease (MASLD). These therapies are broadly categorized into gastric and small bowel interventions. Gastric EBMTs, including intragastric balloons and endoscopic sleeve gastroplasty, promote weight loss primarily through mechanical restriction and delayed gastric emptying, thereby improving metabolic outcomes. Small bowel therapies target the proximal intestine to modulate nutrient-sensing and hormonal pathways, providing metabolic benefits that may occur independently of weight loss. Techniques such as duodenal mucosal resurfacing, electroporation-based re-cellularization, and duodenal-jejunal bypass liners demonstrate promising effects on glycemic control, insulin sensitivity, and liver health. Emerging technologies utilizing thermal, vapor, and laser ablation further expand therapeutic possibilities. While these interventions show favorable safety profiles and potential as standalone or adjunctive treatments, further long-term studies and randomized trials are necessary to optimize patient selection and procedural protocols. Collectively, EBMTs represent an evolving paradigm in the management of obesity and metabolic diseases, bridging the gap between conservative medical therapies and bariatric surgery. Full article

Background: Neuromyelitis optica spectrum disease (NMOSD) is a severe and highly disabling autoimmune astrocytopathy in which humoral immunity, mediated by the presence of autoantibodies, and cellular immunity, through Th17 cells and related cytokines, are key contributors to the pathogenesis. This neuroglial disease affects the central nervous system and is predominantly described in the young productive population. For many years, NMOSD treatment lacked disease-specific therapies and relied on conventional immunosuppressive agents. Progress in elucidating underlying mechanisms of the disease has led to the development and approval of highly specific and effective pathology-modifying drugs. Objective: The objective of this paper is to analyze current and emerging monoclonal antibody-based therapies for NMOSD. Methods: A systematic review of the literature was conducted focusing on approved and investigational monoclonal antibodies targeting major immunopathogenic pathways in NMOSD. Both long-term maintenance therapies and treatments for acute relapses were considered. Results: Targeted monoclonal antibody therapies have significantly transformed the therapeutic management of NMOSD. Drugs directed at B-cell depletion, IL-6 receptor inhibition, and complement blockade have demonstrated substantial efficacy in reducing relapse rates and improving clinical outcomes. Emerging therapies and biomolecular engineering represent promising strategies aimed at further modulating disease activity. These treatments offer improved specificity compared with traditional immunosuppressive regimens and contribute to better long-term disease control. Conclusions: The growing understanding of NMOSD immunopathogenesis has led to the development of highly specific monoclonal antibody-based therapies that have substantially redefined long-term maintenance strategies. Emerging biological targets may expand future therapeutic options. Continued research is essential to optimize individualized treatment approaches and improve outcomes for patients with NMOSD. Full article

Nuclear energy has emerged as a crucial technological solution for ensuring energy security and achieving carbon neutrality goals, given its ultra-high energy density and near-zero carbon emissions against the backdrop of rapid socioeconomic development, increasing energy demands, and accelerated global transition toward low-carbon energy structures. As the core component for energy conversion in nuclear reactors, fuel elements critically determine reactor efficiency and safety performance, with the fission product retention capability of silicon carbide layers in multilayer-coated fuel particles having been thoroughly validated through high-temperature gas-cooled reactor irradiation tests. The precise sphericity control of large-sized UO₂ fuel kernels represents a fundamental requirement for enhancing tristructural isotropic (TRISO) fuel particle performance and advancing Generation IV nuclear power plant development. This study presents a sphericity control strategy based on sol–gel processing that synergistically integrates physicochemical regulation of gelling media with multi-field washing flow field optimization. By implementing silicone oil-mediated interfacial tension gradient control, we effectively suppressed gel sphere destabilization while developing an innovative three-phase sequential washing technique involving kerosene washing, anhydrous ethanol interfacial transition, and ammonia solution replacement, which significantly enhanced mass transfer diffusion in stagnant liquid films and revolutionized fuel microsphere washing technology with improved efficiency and quality. Experimental results demonstrate that this integrated approach increases kernel sphericity qualification to 99.8%, reduces washing solution consumption by 79%, and achieves an average sphericity of 1.03. The research establishes a coupling mechanism between gelling media and multi-field washing processes, elucidating the synergistic effect between interfacial tension regulation and washing optimization, thereby providing both theoretical foundations and engineering application basis for the precision manufacturing of high-performance nuclear fuels. Full article

An efficient bacteriophage delivery system needs to be developed to overcome the challenges associated with phage instability, rapid diffusion, and loss of infectivity at the infection site. Hydrogels have been found to be potential carriers. Hydrogels have emerged as promising carriers due to their biocompatibility, tunable physicochemical properties and capacity for controlled release. However, the molecular factors that regulate phage–hydrogel interactions remain poorly understood. In this study, we employed an in silico framework combining molecular docking, molecular dynamics (MD) simulations, MM/PBSA binding energy calculations, machine learning-based adhesion prediction, and diffusion modeling to explore phage–hydrogel interactions at the molecular level. Surface-exposed bacteriophage proteins, such as capsid and tail proteins, were evaluated against eight different hydrogel polymers. Binding site analysis revealed the presence of multiple solvent-accessible pockets that can interact with the polymer. Docking studies showed favorable and stable interactions, with hyaluronic acid showing strong binding affinity to multiple phage proteins (−5.5 to −5.7 kcal/mol) and GelMA showing high affinity to the capsid gp10 protein (−5.6 kcal/mol). The integrity of the structural complexes was further confirmed by 100 ns MD simulations, stable RMSD and RMSF trajectories, compact structural conformations, and favorable MM/PBSA binding energies. Machine learning classification successfully differentiated high- and low-adhesion systems and identified hydrogen bonding and electrostatic interactions as key determinants of sustained yet reversible phage retention. Collectively, our findings suggest that the hydrogels enriched with charged and polar functional groups can facilitate stable but non-destructive phage binding, enabling controlled and sustained release. This study provides mechanistic insights into rational hydrogel design for phage delivery systems and highlights the potential of high-throughput computational strategies to accelerate the development of optimized phage therapeutics. Full article

Many patients with primary or metastatic lung cancer are not candidates for surgery, additional radiation, or further systemic therapy due to advanced age or comorbidities; this creates a need for minimally invasive locoregional options. Image-guided thermal ablation (IGTA) is being applied across a broader spectrum of lesions, while bronchial artery chemoembolization (BACE) is emerging as a therapy option for treatment-refractory advanced disease. Recent studies in thermal ablation have focused on optimizing energy delivery and protocols, as well as improving ablation zone predictability and analysis. Advances in lesion targeting, including cone beam CT fusion, electromagnetic guidance, and robotic-assisted ablation, allow for treatment of subcentimeter and ground-glass lesions in anatomically challenging locations. Growing clinical experience supports IGTA for intrathoracic oligoprogression and as salvage therapy after recurrence. In the endovascular space, improved imaging, microcatheters, and drug-eluting microspheres have expanded the use of BACE for disease and symptom control in advanced lung cancer. Multimodal strategies combining minimally invasive locoregional treatments with systemic therapies and radiation are being explored, with early data showing improvements in survival without increased toxicity. This narrative review synthesizes emerging techniques, clinical data, and indications for percutaneous and endovascular lung cancer treatments and underscores the need for prospective and randomized trials to refine patient selection, treatment sequencing, and long-term outcomes. Full article

Low-level flight or maneuvering defines a flight phase that is particularly common and, in some cases, central to helicopter operations, but brings several safety concerns. At low altitude, helicopters are more susceptible to collisions with objects, while there is also limited time and space in which to perform an emergency landing. A total of 403 helicopter accidents in the low-level flight phase that occurred between 1 January 2009 and 31 December 2022 in the US were analyzed for their most common causes and differentiated based on the type of flight operation to gain insight into low-level flight accidents. It is shown that, for low-level flights, the proportion of fatal accidents in flights conducted under Federal Aviation Regulations Part 91, General Aviation, is 30%, but in flights conducted under Part 137, aerial application or agricultural flights, only 12%. Logistic regression analysis shows that while controlling for other factors, the proportion of fatal accidents was significantly higher in Part 91 operations. Flight experience measured as total flight hours was not a significant factor for estimating fatality. It is recommended that low-level helicopter training includes low-altitude autorotations in simulators to optimize the mitigating effect of this emergency procedure in this flight phase with a specific focus on Part 91 operations. Full article

Alcoholic fermentation in winemaking is a complex bioprocess governed by physicochemical parameters such as temperature, density, pH, CO₂ and redox potential, which critically affect yeast metabolism and wine quality. This review provides an integrated analysis of fermentative dynamics and emerging sensorization technologies, highlighting how their combined implementation enables real-time monitoring and advanced control in precision enology. Advances in conventional physicochemical sensors, spectroscopic techniques (NIR/MIR/UV-Vis) and non-conventional devices (e-noses, electronic tongues) integrated into IoT platforms enable continuous data acquisition, overcoming traditional manual sampling limitations. Predictive modeling, including kinetic models, machine learning approaches (e.g., Random Forest, XGBoost) and model predictive control (MPC/NMPC), supports anomaly detection, optimization of enological interventions and energy-efficient thermal management, while virtual sensors based on Kalman filters improve the estimation of non-measurable states (e.g., biomass, ethanol kinetics). Despite current challenges in calibration and interoperability, these innovations foster sustainable and reproducible winemaking under climate variability and pave the way for digital twins and semi-autonomous fermentation systems. Full article

Corrosion- and wear-resistant coatings are widely applied to hydro-turbine runners through thermal spray and cladding processes to enhance component efficiency and structural integrity by mitigating material loss during operation. This work provides a critical review of both mature and emerging coating materials, with particular emphasis on cermets, Fe-based amorphous alloys, high-entropy alloys, and functionally graded coatings. Their performance is analyzed in terms of wear, corrosion resistance, and applicability under hydro-turbine service conditions, highlighting the advantages and current limitations that hinder broader industrial adoption. The review identifies key challenges associated with materials chemistry, deposition processes, coating architecture, and cost-effectiveness, emphasizing the need for further advancements to improve coating reliability and competitiveness. In addition, a shift in coating design philosophy is proposed, moving toward a performance-driven and application-oriented approach in which coating properties are tailored to meet specific service demands through optimized material selection and process control. By integrating current knowledge and identifying critical gaps in the literature, this work provides a framework to guide future research efforts aimed at developing next-generation coatings for hydro-turbine applications. Full article

Objectives: Periodontitis represents an inflammatory condition affecting the supporting structures of teeth. Basic therapy relies on scaling and root planning, but often fails to eliminate subgingival pathogens. Phytotherapy has emerged as an adjunct due to its antimicrobial, anti-inflammatory, antioxidant, and tissue-protective properties. The aim of this study was to evaluate the effects of the phytotherapeutic product Propoherb G^® as an adjunct to mechanical periodontal therapy. Methods: This study included 90 systemically healthy participants divided into three groups: control, basic therapy, and basic therapy + Propoherb G^®. Periodontal clinical parameters were assessed, alongside the presence of periodontopathogens (A. actinomycetemcomitans, P. gingivalis, and T. denticola) using PCR and cytomorphometric analysis of gingival cells at baseline, first day, and eleven days after therapy. Results: Results showed significant improvements in periodontal clinical parameters in both treatment groups, with the most pronounced effect observed in the Propoherb G^® group (p < 0.001). A marked reduction in periodontopathogenic bacteria was achieved, with Propoherb G^® demonstrating sustained elimination of P. gingivalis and T. denticola, and a significant reduction of A. actinomycetemcomitans compared to standard therapy alone (p < 0.001). The control group showed no significant changes. Cytomorphometric analysis showed a significant decrease in all measured cell parameters after therapy (p < 0.001) in the group with Propoherb G^® preparation. Conclusions: The adjunctive use of Propoherb G^® enhances the clinical, microbiological and cytomorphometric outcomes of basic therapy. These findings support the potential of phytotherapy as a safe and effective supplement to basic treatment, although further studies with larger sample sizes and longer follow-up are necessary to standardize protocols and optimize clinical application. Full article

Biological systems regulate motion and suppress unwanted vibrations through learning, adaptation, and predictive control under uncertainty. Inspired by these principles, Bayesian system identification has emerged as a powerful framework for modeling and estimation, particularly in the presence of uncertainty in structural systems. Flexible structures in aerospace and robotics require advanced control to mitigate vibrations under model uncertainty. This paper proposes a data-driven strategy leveraging a Gaussian Process (GP) integrated within a Nonlinear Model Predictive Control (NMPC) framework. The core innovation lies in using a Gaussian Process Nonlinear AutoRegressive model with eXogenous input (GP-NARX) as a probabilistic predictor to capture structural dynamics while quantifying uncertainty. The operational mechanism involves a tight coupling where the GP provides multi-step-ahead forecasts that the NMPC optimizer uses to minimize a cost function subject to constraints. Validated through simulations on Duffing oscillators, linear oscillators, and cantilever beams, the GP-NMPC achieved an 88.2% reduction in displacement amplitude compared to uncontrolled systems. Quantitative analysis shows high predictive accuracy, with a Root Mean Square Error (RMSE) of 0.0031 and a Standardized Mean-Squared Error (SMSE) below 0.05. Furthermore, Mean Standardized Log Loss (MSLL) evaluations confirm the reliability of the predictive uncertainty within the control loop. These results demonstrate strong performance in both regulation and tracking tasks, justifying this Bayesian-predictive coupling as a powerful approach for high-performance structural vibration control and a potential foundation for bio-inspired mechanical design. Full article

Molecular subtype–guided therapy for breast cancer (BC) remains limited in a subset of patients by suboptimal efficacy, acquired resistance, and the presence of “undruggable” targets. Proteolysis-targeting chimeras (PROTACs) represent a targeted protein degradation (TPD) strategy that differs fundamentally from conventional occupancy-driven inhibition. By inducing ubiquitination of a protein of interest and subsequent proteasomal degradation, PROTACs can directly reduce pathogenic protein abundance and potentially abrogate non-catalytic or scaffolding functions, thereby enabling more durable pathway suppression in selected resistance contexts. This review comprehensively summarizes the mechanisms of action, key molecular design elements, and the developmental landscape of PROTACs, and maps target selection and research progress across BC molecular subtypes. In hormone receptor–positive/HER2-negative BC, clinical translation is most advanced for estrogen receptor alpha-directed PROTACs; Phase III evidence indicates biomarker-dependent efficacy, with clearer benefit signals in resistant subgroups such as estrogen receptor 1 mutations, suggesting that the net clinical benefit of TPD is more likely to be realized through precision stratification. In contrast, in solid-tumor settings, including human epidermal growth factor receptor 2 (HER2)-positive BC and triple-negative breast cancer, PROTAC translation is more frequently constrained by an “exposure–selectivity–therapeutic window” trade-off driven by physicochemical liabilities, insufficient tumor penetration, and broad target expression. Accordingly, engineering strategies—such as antibody/aptamer-mediated targeted delivery, stimulus-responsive prodrugs, nanocarriers, and local administration—are emerging as decisive approaches to enable safe and effective clinical implementation. Looking forward, further progress of PROTACs in BC will depend on expanding the spectrum of E3 ubiquitin ligases and recruitment modalities, establishing predictable and dynamically monitorable biomarker systems, optimizing rational combination/sequencing regimens with exposure- and schedule-guided dosing, and advancing scalable manufacturing and quality control capabilities, thereby translating mechanistic advantages of TPD into verifiable precision-therapy applications. Full article