Search Results (1,196)

This study provides a comparative and material-specific assessment of how laser cutting parameters affect the surface integrity of three commonly used engineering alloys, thereby extending the current knowledge beyond single-material analyses. The main objective was to quantify and relate changes in surface roughness, microhardness, and microstructure to variations in laser cutting conditions for S355J2 steel, AISI 304 steel, and AlMg₃ aluminum alloy. Variable cutting parameters were applied, including cutting speed, assist gas type and pressure, as well as laser beam power, and their combined effect on the thickness of the remelted and heat-affected zones was evaluated. The results show clear material-dependent trends: S355J2 steel exhibited the lowest surface roughness but the most pronounced surface hardening, with maximum microhardness values reaching approximately 700 HV 0.1 in a relatively narrow heat-affected zone, whereas AISI 304 showed a distinct edge-hardening effect with more moderate roughness. In contrast, the AlMg₃ alloy developed a clearly visible remelted layer and a refined, fine-grained microstructure, accompanied by much lower hardness levels but a more diffuse heat-affected zone. These findings provide original, comparative guidelines for selecting laser cutting parameters tailored to specific materials, enabling the optimization of edge quality and surface properties in industrial applications. Full article

Introduction: Ultrasound elastography is increasingly used across medical imaging, yet its role in thoracic disease remains poorly defined. While both transthoracic ultrasonography (TUS) and endobronchial ultrasound (EBUS) offer real-time assessment of pleural and pulmonary structures, the diagnostic and clinical value of elastography in this context remains uncertain. Materials and Method: A systematic search of MEDLINE, EMBASE, and the Cochrane Library was conducted according to PRISMA guidelines (April 2023; updated January 2025). Original studies evaluating transthoracic or endobronchial elastography for pleural or pulmonary conditions were included. Data extraction and quality assessment were performed independently by three reviewers, with QUADAS-2 used to evaluate risk of bias. Results: Thirty studies met inclusion criteria. Twenty-eight evaluated TUS elastography and two examined EBUS. Shear wave elastography was most frequently applied, particularly for differentiating malignant from benign pleural effusion or subpleural lesions. Surface wave elastography demonstrated consistently higher stiffness values in patients with interstitial lung disease compared with healthy controls, correlating with radiological and functional disease severity. Elastography-guided pleural biopsy improved diagnostic yield compared with conventional ultrasound-guided biopsy. Overall, substantial methodological variation existed among scanning techniques, elastography modalities, reporting methods, and diagnostic thresholds, limiting cross-study comparison. Conclusions: Ultrasound elastography shows promise for evaluating pleural effusion and pulmonary lesions, procedural guidance, and interstitial lung disease possibly improving diagnostic possibilities with bedside evaluation and reducing patient exposure to radiation. However, methodological variation and limited high-quality evidence preclude clinical implementation. Standardized acquisition protocols and multicentre validation studies are necessary to define its diagnostic utility in thoracic imaging. Full article

Background/Objectives: The novel wave electric toothbrush is considered potentially helpful in removing subgingival plaque to prevent the occurrence of periodontal diseases. This study aimed to assess the cleaning efficacy of a novel wave electric toothbrush on subgingival plaque and its safety profile for oral soft tissues. Methods: In vitro cleaning efficacy evaluations were conducted using oral dental models. The wave electric toothbrushes were divided into low-, medium-, and high-swing parameter groups, with manual brushing (Bass technique) as the control. Simulated plaque was applied to the buccal and gingival sulcus sites of the four first molars, and the plaque removal area and sulcus cleaning depth were measured. For safety evaluation, Sprague Dawley (SD) rats were brushed on their molars daily for 30 days, with bleeding incidents recorded. Oral soft tissues were analyzed through H&E staining and immunohistochemical analysis. Statistical analysis included ANOVA and Kruskal–Wallis (p < 0.05). Results: Medium- and high-swing groups demonstrated superior gingival sulcus cleaning efficacy, showing significant differences compared with the low-swing and control groups (p < 0.05). All swing parameters achieved complete plaque removal on buccal surfaces. No significant differences were observed between the low-swing and manual groups, or between the medium- and high-swing groups, regarding sulcus cleaning efficacy and maximum sulcus depth. During the 30-day in vivo experiment, medium- and high-swing groups showed low bleeding frequencies, primarily at the palatal gingiva and vestibule. Histological analyses indicated that higher swing parameters increased the likelihood of soft tissue injury. Conclusions: Wave electric toothbrushes enhance subgingival plaque removal, with higher swing parameters improving gingival sulcus cleaning. However, stronger parameters may increase the risk of soft tissue damage. Further clinical studies are required to establish optimal guidelines. Full article

The Northwestern Black Sea shelf, strongly influenced by Danube discharge and coastal activities, provides an effective setting for separating lithogenic controls from localized anthropogenic inputs. We applied a multi-proxy geochemical–radiometric approach to Romanian shelf waters and surface sediments. A CTD–Rosette was used to quantify nutrients, chlorophyll-a, TOC, and TN. Dissolved metals and PAHs were measured in seawater, while surface sediments were analyzed for CaCO₃, TOC, trace metals, and γ-emitting radionuclides. Multivariate statistics (PCA/FA) were used to resolve the dominant environmental controls. Summer stratification was characterized by the bottom-layer maxima of PO₄³⁻, SiO₄⁴⁻, and NH₄⁺ and a pronounced subsurface chlorophyll-a maximum at 12–16 m. Surface-water Σ16PAH ranged from 134 to 347 ng L⁻¹ and was dominated by low-molecular-weight compounds, with episodic nearshore enrichment in high-molecular-weight species. In sediments, CaCO₃ ranged from 7.6 to 29.9% and TOC from 0.11 to 0.96%. Trace metals were generally low. Pb and Hg peaked at nearshore station S23, whereas mean Ni (38.88 ppm) slightly exceeded the 35 ppm guideline, consistent with natural Fe/Mn-oxide association. PCA/FA identified a terrigenous axis (Fe-Al-Ti-V-Ni-Cr), a carbonate axis (CaCO₃; Sr where available), and an anthropogenic factor (Pb, Hg, HMW-PAHs). γ-spectrometry provided a compatible radiometric baseline that supports the multi-proxy interpretation. Full article

Coal slime, a byproduct of coal processing with high ash content, poses significant challenges in terms of its efficient separation and resource utilization due to its fine particle size and complex composition. This study aims to optimize the oil agglomeration process for coal slime separation through systematic parameter investigation and predictive modeling. Response surface methodology (RSM) was employed to analyze the individual and interactive effects of pulp density, oil dosage, and agitation rate on three key performance indicators: combustible recovery, efficiency index, and ash rejection. Meanwhile, an artificial neural network (ANN) was developed to establish a robust prediction model for the efficiency index. The novelty of this work lies in the integration of thermodynamic analysis, multi-objective optimization, and machine learning approaches. The key findings include the identification of dodecane as the optimal bridging liquid due to its intermediate carbon chain length that balances interfacial tension and wettability. Under optimized conditions (14% pulp density, 22% oil dosage, and 1600 r/min), the process achieved a combustible recovery of 91.49%, ash rejection of 61.58%, and efficiency index of 53.07%. The ANN model demonstrated superior predictive capability with an overall R² of 0.9659 and RMSE of 1.12. This work provides comprehensive guidelines for the design, optimization, and scale-up of coal slime oil agglomeration processes in industrial applications. Full article

The current paper determined water resource classes and Resource Quality Objectives (RQOs) for significant water resources in the Mzimvubu to Tsitsikamma Water Management Area 7 (WMA7) to facilitate sustainable use of the water resources while maintaining ecological integrity. A novel stepwise quantitative and qualitative method was developed to ensure water resource protection in the study area. The methodological approach is proposed as a model framework that could be adopted as guideline and transferable to other catchments in the implementation of Resource Directed Measures (RDMs). The method used water quality and quality components of water resources to determine the classes and RQOs. The study’s major findings were that nineteen Integrated Units of Analysis (IUAs) were delineated, and ninety-five Resource Units were identified and prioritized for both surface and groundwater. Driving water quality variables (nutrients, electrical conductivity, and Escherichia coli) were observed and primary water users (irrigation, settlements, and wastewater treatment works) were identified per Integrated Units of Analysis. Five water resource scenarios were developed and evaluated to capture a likely water resource condition for the present and future. The scenario analysis showed impact is expected under any of the operational scenarios assessed at selected reaches. The water resource classes were determined, with eleven IUAs classified as Class lll, seven IUAs as Class ll, and one IUA as Class l. Water quality and quantity RQOs were set to ensure that both river and groundwater resources are compliant and protected. Therefore, the study recommends that this methodological framework, where classes and RQOs were determined, needs to be implemented and tested. Full article

This in vitro study investigated the shear bond strength (SBS) between titanium abutments and resin-based CAD/CAM restorative materials fabricated using additive (3D printing) and subtractive (milling) methods. The aim was to assess how different surface treatments—primer only, phosphoric acid etching with primer, and sandblasting with primer—affect bonding performance. A total of 120 cylindrical specimens were prepared using four CAD/CAM materials and bonded to titanium disks using dual-cure resin cement. SBS was measured following ISO 10477:2020 guidelines, and surface morphology was analyzed via scanning electron microscopy (SEM). Two-way ANOVA revealed that both the material type and surface treatment had statistically significant effects on SBS (p < 0.001), with a notable interaction between them. Additively manufactured materials exhibited higher SBS values compared to subtractive ones. The highest bond strength was observed in the sandblasted Saremco Crowntec group, while the lowest was in the primer-only Cerasmart group. SEM images confirmed enhanced surface roughness in sandblasted specimens, and failure mode analysis showed more cohesive and mixed failures in mechanically treated groups. These findings underscore the importance of selecting appropriate surface conditioning protocols tailored to each material type to improve bonding effectiveness in implant-supported restorations. Full article

Background: The R21 malaria vaccine is a next-generation, WHO-prequalified vaccine that was introduced to reduce the burden of clinical malaria. In alignment with WHO recommendations, multi-dose vaccine presentations are preferred for large-scale immunization and inclusion in the Expanded Programme on Immunization (EPI). Accurate protein quantification is a critical quality control parameter for lot release, but it remains challenging when the antigen is present at low protein concentrations or formulated with complex matrices, including adjuvants, stabilizers, and preservatives. Methods: In this study, multiple protein estimation methods including Micro-BCA, BCA, and Bradford assays were evaluated to determine their suitability for quantifying the R21 antigen formulated with Matrix-M1 adjuvant and 2-PE preservative. The Bradford assay was selected as the most appropriate method, based on a comparative assessment of precision, accuracy, and linearity. Further optimization was undertaken to identify suitable buffer systems, and the method was validated in accordance with ICH Q2(R2) guidelines. Results: Validation results demonstrated that the assay is specific, accurate, precise, and repeatable, with a limit of quantitation (LOQ) of 2 µg/mL. The method demonstrated comparable performance to ELISA and was found to be sensitive enough to detect changes in antigen concentration resulting from unintended adsorption of R21 to vial surfaces. The assay offers a rapid, high-throughput, and cost-effective solution for protein quantitation in commercial manufacturing, lot release, and stability studies. The protein content of the drug product, quantified using the Bradford method, demonstrated robust in vivo immunogenicity in both release and stability studies. Conclusions: The robustness and reproducibility of the assay establish a new benchmark in quality control for virus-like particle (VLP)-based vaccines with complex formulations, thereby supporting the precision and reliability required for global malaria prevention efforts. Full article

Underwater networks are crucial for monitoring the marine ecosystem, enabling data collection to support the preservation and protection of natural resources. Among the various technologies available, acoustic and optical communications stand out for their superior performance in underwater environments. Acoustic technologies are suitable for long-range communications, typically operating over hundreds of meters up to several kilometers, albeit with low data rates ranging from a few hundred bps to few tens of kbps. In contrast, optical technologies excel in providing high data rates, often between 1 and 10 Mbps, but only over short distances (e.g., 50 m) in controlled conditions. To leverage the strengths of these technologies, recent research has proposed multi-modal underwater systems; however, these solutions generally rely on single-level or at most dual-level architectures, limiting the benefits of a structured hierarchical approach. In this review paper, after discussing related work on multi-technology acoustic and optical networks, we highlight relevant design guidelines for multi-technology, multi-level underwater architectures, explicitly considering three layers: a deep acoustic layer, an intermediate optical layer, and an upper RF-enabled surface layer. For illustration, we also discuss a PoC of such a hierarchical architecture under development at the University of Catania, Italy, in the Area Marina Isole dei Ciclopi natural reserve. The PoC includes optical nodes capable of transmitting up to 10 Mbps over short ranges and acoustic nodes (both software defined and not) supporting rates of tens of kbps over hundreds of meters and being adaptive to network conditions, interconnected through hybrid multi-technology nodes deployed across the three network levels. By assigning specific technologies to appropriate layers, the architecture enhances scalability, robustness, and adaptability to dynamic underwater conditions. This design strategy not only improves data transmission efficiency but also ensures seamless operation across diverse marine scenarios, making it an effective solution for a wide range of underwater monitoring applications. Full article

In this study, novel, high-strength polymer blends were synthesized using poly(butylene succinate) (PBS) modified with grafted polyrotaxane (GPR). Then, their mechanical properties and morphologies were evaluated. A unique, two-step, reactive kneading method was developed to substantially improve the mechanical properties of PBS, which promoted transesterification reaction using an organo-titanium catalyst (Ti) in the first step and a urethanization reaction using hexamethylene diisocyanate (HDI) in the second step. The optimized blend material, [PBS/GPR10/Ti]-HDI, achieved remarkable toughening, and its Izod impact strength increased approximately seven-fold compared with that of unmodified PBS. Scanning electron microscopy (SEM) of the fracture surfaces confirmed a transition from brittle to ductile fracture, attributed to the controlled reaction sequence. First, strong chemical bonds formed at the PBS/GPR interface via Ti-catalyzed transesterification. Then, HDI induced simultaneous internal crosslinking (gelation) of the GPR domains and chain extension of the PBS matrix. This modification strategy maintained the excellent inherent soil biodegradability of PBS while improving its degradability in marine environments. This study presents a new guideline for designing materials that can considerably enhance the mechanical properties of biodegradable plastics. Full article

The article presents an evaluation of the behavior of joints in roof sandwich panels with a PIR foam core, under conditions of short-term exposure to high temperatures. The aim of the study was to analyze the temperature field distribution within the joint and to investigate how a slight unsealing of the joint by approximately 3 mm affects the thermal insulation. Experimental studies using thermography and numerical analysis made it possible to determine the impact of slight joint gaps on the temperature distribution on the surface of the panels. The temperature difference between the reference areas and the areas exposed to fire did not exceed 1 °C. Using the finite element method, numerical models of joints with a gap of up to 6.81 mm were created. The thermal transmittance values ranged from 0.187 to 0.196 W/(m²·K), and heat flux density at a 102 °C difference from 19.237 to 20 W/m². Even with slight panel separation, the joint still meets the requirements for insulation and fire resistance. Short-term exposure to 100 °C caused no damage, except from ~1 mm local PIR foam melting, which is harmless. Proper roof installation, in accordance with the manufacturer’s guidelines ensured the tightness and thermal resistance of the roof. Full article

Stainless steels are commonly used in coastal structures and in seawater desalination and treatment systems, so understanding their corrosion behaviour under different salinity conditions is important to ensure the durability and reliability of the material. In this study, the behaviour of AISI 304L, AISI 316L, and 2205 duplex stainless steels (DSS) was tested in three media with different salinities: brackish water (BSW), seawater (SW), and concentrated seawater bittern (CSW). Testing was conducted using classical electrochemical methods (open circuit potential, linear, and potentiodynamic polarization) supplemented by surface analyses (optical microscopy, SEM/EDS, and optical profilometry). Corrosion resistance increased in the order AISI 304L < AISI 316L < 2205 DSS. Duplex steel 2205 performed best in all media: it exhibited the most positive open circuit potential, the highest polarization resistance, the lowest corrosion current density, and the widest passive range. Unexpectedly, CSW showed improved corrosion resistance compared to SW, which is explained by the reduced chloride content characteristic of seawater bittern after NaCl crystallisation and the presence of magnesium, calcium, and sulphate ions that promote the formation of protective deposits on the metal surface. Pronounced pitting was observed on AISI 304L steel in seawater, while surface degradation in brackish and concentrated seawater was significantly less, and 2205 DSS remained almost unchanged. The results obtained can serve as guidelines for the design and selection of materials for equipment and structures in industries operating in aggressive marine and coastal environments, such as desalination plants, shipbuilding, and energy systems. Full article

Background/Objectives: Advanced drug delivery systems (DDSs) are essential for targeted delivery, controlled release, and reduced systemic toxicity, but their clinical adoption is limited by biological barriers, manufacturing complexities, and cost. The aim of this systematic review is to critically evaluate the quantitative relationships between platform design, overcoming biological barriers, and clinical translation outcomes for DDS developed between 2016 and 2025. Methods: A comprehensive literature search was conducted in PubMed/MEDLINE, Scopus, and Web of Science (January 2016–April 2025) in accordance with the PRISMA 2020 guidelines. Included studies focused on experimental or clinical data for nanocarrier platforms (liposomes, lipid nanoparticles, polymer systems, biomimetic carriers, extracellular vesicles). Data on platform characteristics, interactions with barriers, pharmacokinetics, manufacturing, and clinical outcomes were extracted and synthesized in narrative form due to the significant methodological heterogeneity. Results: An analysis of 77 included studies confirms that successful clinical translation depends on matching the physicochemical properties of the carrier (size, surface chemistry, material) to specific biological barriers. Liposomes and lipid nanoparticles (LNPs) remain the most clinically validated platforms, exploiting the EPR effect and liver tropism, respectively. Key engineering solutions include stealth coatings, ligand-mediated targeting, and stimulus-responsive materials to overcome barriers such as mononuclear phagocyte system clearance, the blood–brain barrier, and mucosal barriers. Microfluidic and continuous manufacturing processes enable reproducibility, but scalability, cost, and immunogenicity (e.g., anti-PEG responses) remain key translational challenges. Engineered extracellular vesicles, biomimetic carriers, and 3D/4D-printed systems combined with AI-driven design demonstrate the potential for personalized, adaptive delivery. Conclusions: Cutting-edge DDSs have validated their clinical value, but realizing their full potential requires a holistic, patient-centered design approach integrating barrier-specific engineering, scalable manufacturing, and rigorous safety assessment from the earliest stages of development. Further progress will depend on standardizing methods for new platforms (e.g., extracellular vesicles), implementing digital and AI tools, and ensuring translational feasibility as a fundamental principle. Full article

Tomato brown rugose fruit virus (ToBRFV) has become a major threat to global tomato production due to its exceptional mechanical transmissibility and virion stability. Effective sanitation is essential for containment, yet the performance of commonly used disinfectants on greenhouse-relevant surfaces remains poorly characterized. This study evaluated multiple disinfectant formulations, applied by spraying or dipping, on polyethylene film, pruning shears, and human hands. After controlled inoculation with a standardized inoculum, treated surfaces were swabbed and extracts mechanically inoculated onto Nicotiana rustica L. Lesion number was visually quantified, and lesion area was measured using a computational image-analysis pipeline. Fifth-generation quaternary ammonium compounds (5°QAS) showed the highest virucidal activity on smooth, non-porous surfaces, reducing lesion numbers to fewer than 10 per leaf at 800–1000 ppm and maintaining infection severities below 1%. Glutaraldehyde at 500 ppm also performed strongly, achieving severities as low as 0.20% on plastic. Metallic pruning shears consistently retained infectious particles, with untreated controls exceeding 100 lesions per leaf and treated samples showing incomplete inactivation. Mechanical agents such as powdered milk and soap reduced infection but did not eliminate transmission. No clear dose–response trend was observed. The two most effective treatments, 5°QAS at 800–1000 ppm and glutaraldehyde at 500 ppm, significantly reduced or prevented systemic infection in tomato assays. These findings demonstrate that sanitation efficacy depends on formulation, surface type, and application method, providing operationally relevant guidelines for ToBRFV management. Full article

Background/Objectives: CKD affects over 10% of adults and is often silent, delaying diagnosis. Opportunistic primary care screening supported by clinical decision support systems (CDSSs) may improve detection with minimal burden. We evaluated the feasibility, diagnostic yield, clinical actions, and reagent costs of a CDSS-enabled, albuminuria-first program using eGFR. Methods: This one-year cross-sectional intervention screened all patients receiving routine laboratory tests at a primary care center using a CDSS integrating prior labs, medical records, and guideline rules. Eligibility required patients age 60–85 (Group 1) or 18–59 with hypertension, diabetes, or cardiovascular disease (Group 2). Eligible patients received urine albumin and eGFR testing with standard phlebotomy; abnormal findings triggered confirmatory tests. Outcomes were diagnostic yield, KDIGO risk stratification, referral patterns, and reagent costs. The CDSS surfaced prompts and pre-populated orders in the laboratory interface. Results: Of 7722 targets, 1892 (24.5%) were flagged (34.2% of Group 2, 7.9% of Group 1), and 1774 (93.8%) completed screening. We identified 104 new CKD cases (5.9%): 75% KDIGO moderate risk, 19% high, and 6% very high. Twenty patients (1.1%) met criteria for nephrology referral. Guideline-directed therapy was started or optimized in 90%, and 62.5% received a new CKD diagnosis code. Reagent costs averaged EUR 0.51 per person screened and EUR 11.14 per CKD case detected. Most cases were early-stage and manageable in primary care. Conclusions: CDSS-enabled opportunistic screening in primary care is feasible, acceptable, and low-cost. It identifies previously unrecognized CKD at modest expense, enabling early interventions that may slow progression and reduce cardiovascular events. Scaling with follow-up should assess long-term outcomes. Full article