Search Results (1,234)

The primary objective of this research is to simplify and make the industrial manufacturing process of coated maraging steels more economical by combining the advantages of additive manufacturing with simultaneous bulk (aging) and surface (nitriding) treatment in an effective manner. With this aim, preliminary experiments were performed that demonstrated the hardness (and related microstructure) of an as-built MS1 maraging steel, produced by selective laser melting (SLM), is comparable to that of the bulk maraging steel products treated by conventional solution annealing. The direct aging of the solution-annealed and as-built 3D printed maraging steel resulted in similar hardness, indicating that the kinetics of the precipitation hardening process are identical for the steel in both conditions. This assumption was strengthened by a thermodynamic analysis of the kinetics and determination of the activation energy for precipitation hardening using Differential Scanning Calorimetry (DSC) measurements. Industrial target experiments were performed on duplex-coated SLM-printed MS1 steel specimens, which were simultaneously aged and salt-bath nitrided, followed by PVD coating with three different ceramic layers: DLC, CrN, and TiN. For reference, similar duplex-coated samples were used, featuring a bulk Böhler W720 maraging steel substrate that was solution annealed, precipitation hardened, and salt-bath nitrided in separate steps, following conventional procedures. The technological parameters (temperature and time) of the simultaneous nitriding and aging process were optimized by modeling the phase transformations of the entire heat treatment procedure using DSC measurements. A comparison was made based on the in-depth hardness profile estimated by the so-called expanding cavity model (ECM), demonstrating that the hardness of the surface layer of the coated composite material systems is determined solely by the type of the coatings and does not influenced by the type of the applied substrate materials (bulk or 3D printed) or its heat treatment (whether it is a conventional, multi-step treatment or a simultaneous nitriding + aging process). Based on the research work, a proposal is suggested for modernizing and improving the cost-effectiveness of producing aged, duplex-treated, wear-resistant ceramic-coated maraging steel. Full article

Nitrogen (N) deficiency in apples (Malus × domestica Borkh.) leads to characteristic physiological symptoms, including leaf and fruit discoloration. Fertigation, i.e., the application of dissolved fertilizers, can significantly improve the growth and fruit quality of apples while optimizing nutrient uptake through a more precise and better timed application than conventional fertilization. This study therefore investigates how different fertilization treatments affect the N concentration of different age categories of apple leaves. Apples of the variety ‘Braeburn’ were grown hydroponically on the low-vigorous rootstock M9. Four fertilizer treatments were used: (1) Hoagland solution (HS); (2) HS nitrogen excluded; (3) HS iron excluded; and (4) HS magnesium excluded. Through vegetation, leaf samples were taken from three shoot positions representing different leaf ages (young, semi-young and old) and then chemically analyzed. The lowest N concentrations across all leaf ages and sampling moments were found in the treatment with N excluded (1.69–2.07% N), while the highest values occurred in the treatments where iron (2.00–2.49% N) or magnesium (1.98–2.37% N) were excluded. The seasonal changes in N concentration reflect interactions between the leaf age and the sampling moment. These results show that the N concentration of apple leaves strongly depends on the type of fertilization. Full article

T6 aging, involving solution treatment and artificial aging, is a widely adopted strengthening method for magnesium alloys due to its proven effectiveness. However, the integration of three or more sequential thermal treatments has been explored only sparingly, primarily due to the challenges associated with optimizing such multi-parameter processing systems. This study demonstrates that integrating a 12 h deep cryogenic treatment (DCT) before aging in a Mg–Al–Ca–Mn alloy optimizes mechanical performance, achieving a tensile strength of 343 MPa and 27.3% elongation. Microstructural analysis, based on electron backscatter diffraction (EBSD) and transmission electron microscopy (TEM), reveals that the strength enhancement results from ~29 nm precipitate refinement, elevated dislocation density, and nanoscale sub-grain formation, while the ductility gains stem from the activation of non-basal slip systems and the suppression of microcrack propagation. These synergistic mechanisms enable superior strain accommodation, providing a clear framework for DCT-enabled sequential heat treatment design in high-performance magnesium alloys. Full article

This study establishes a robust small-angle neutron scattering (SANS) methodology for the quantitative characterization of γ matrix channel widths in the nickel-based single-crystal superalloy DD10. By combining SANS with TEM analyses and modeling the one-dimensional SANS data via a polydisperse lamellar model, we accurately determined the channel width distribution across macroscopic sample volumes. In the virgin state, the mean channel widths were nearly isotropic, measuring 17.8 ± 0.1 nm along [002] and 20.5 ± 0.1 nm along [020]. After standard heat treatment (solution and two-step aging), significant anisotropic coarsening was observed, with widths increasing to 36.8 ± 0.2 nm along [002] and 28.0 ± 0.1 nm along [020], indicating stress-free rafting. Elemental mapping revealed substantial redistribution of key alloying elements: Al content in γ′ precipitates increased by 2.6 at.%, while Cr in the γ channels rose by 5.9 at.%. These quantitative results demonstrate that SANS provides reliable, bulk-statistical insights into nanoscale channel geometry, highlighting its critical role in influencing elemental diffusion kinetics and microstructural evolution during thermal exposure. Full article

The recovery of copper from metallurgical effluents is critical for advancing sustainable mining and circular economy practices. This study evaluated a hybrid process combining copper sulfide precipitation with clarification using polymeric polyvinylidene fluoride (PVDF) microfiltration membranes. Laboratory-scale experiments were performed under controlled cyanide conditions (100 mg/L free CN⁻, 1800 mg/L Cu²⁺), focusing on permeate flux behavior, fouling mechanisms, and cleaning strategies. Optimal performance was achieved at moderate transmembrane pressures (<2.0 bar) and higher flow rates, which provided a balance between productivity and fouling control. Flux decline was attributed to a combination of pore blocking and cake layer formation, confirming the multifactorial nature of fouling dynamics. Cleaning tests revealed that oxidizing solutions (HCl + H₂O₂) restored up to 96% of the initial permeability, while combined treatments with NaCN achieved complete recovery (>100%), albeit with potential risks of membrane aging under prolonged exposure. A techno-economic assessment comparing polymeric and ceramic membranes revealed similar capital and operational costs, with polymeric membranes offering slight reductions in CAPEX (10%) and OPEX (2.3%). Overall, the findings demonstrate the technical feasibility and economic competitiveness of polymeric membranes for copper sulfide clarification, while emphasizing the need to improve long-term chemical resistance to ensure reliable industrial-scale implementation. Full article

Understanding the intricate relationship between composition, processing conditions, and material properties is essential for optimizing Cu-based alloys. Machine learning offers a powerful tool for decoding these complex interactions, enabling more efficient alloy design. This work introduces a comprehensive machine learning framework aimed at accurately predicting key properties such as hardness and electrical conductivity of low-alloyed Cu-based alloys. By integrating various input parameters, including chemical composition and thermo-mechanical processing parameters, the study develops and validates multiple machine learning models, including Multi-Layer Perceptron with Production-Aware Deep Architecture (MLP-PADA), Deep Feedforward Network with Multi-Regularization Framework (DFF-MRF), Feedforward Network with Self-Adaptive Optimization (FFN-SAO), and Feedforward Network with Materials Mapping (FFN-TMM). On a held-out test set, DFF-MRF achieved the best generalization (R²_test = 0.9066; RMSE_test = 5.3644), followed by MLP-PADA (R²_test = 0.8953; RMSE_test = 5.7080) and FFN-TMM (R²_test = 0.8914; RMSE_test = 5.8126), with FFN-SAO slightly lower (R²_test = 0.8709). Additionally, a computational performance analysis was conducted to evaluate inference time, memory usage, energy consumption, and batch scalability across all models. Feature importance analysis was conducted, revealing that aging temperature, Cr, and aging duration were the most influential factors for hardness. In contrast, aging duration, aging temperature, solution treatment temperature, and Cu played key roles in electrical conductivity. The results demonstrate the effectiveness of these advanced machine learning models in predicting critical material properties, offering insightful advancements for materials science research. This study introduces the first controlled, statistically validated, multi-model benchmark that integrates composition and thermo-mechanical processing with deployment-grade profiling for property prediction of low-alloyed Cu alloys. Full article

Background/Objectives: Complex endovascular solutions have expanded treatment options for complex abdominal aortic aneurysms (cAAA), particularly in elderly high-risk patients. However, these techniques are limited by anatomical constraints and costs, while the superiority over open repair (OSR) remains debatable. This study aimed to compare short- and mid-term outcomes of OSR for cAAA in patients aged ≥80 versus <80 years. Methods: Retrospective analysis was performed for patients who underwent OSR for cAAA between 2017 and 2022 at two tertiary vascular centers. A total of 226 patients (median age 71 years [IQR 66–80]; 89% male) were included, of whom 74 were aged ≥80 years. Primary endpoints were 30-day mortality, major adverse cardiovascular events (MACE), and early reintervention. Secondary endpoints included length of stay (LOS), acute kidney injury, new renal dysfunction, mid-term survival (≤5 years), and procedure-related reintervention. Propensity score matching (PSM) was performed to adjust for baseline differences. Results: Out of 1087 screened patients, 226 met the inclusion criteria: 74 octogenarians and 152 younger patients. Thirty-day mortality was significantly higher in octogenarians (9.5% vs. 0.7%; p < 0.001), as was the incidence of MACE (8.2% vs. 1.9%; p = 0.026). Rates of kidney impairment LOS and other major complications were comparable. During a median follow-up of 42.7 months, mid-term survival and freedom from reintervention did not differ significantly between groups. PSM analysis confirmed higher early mortality and cardiovascular events in octogenarians but similar mid-term outcomes. Conclusions: Although octogenarians undergoing OSR for cAAA face increased early mortality and cardiovascular complications, their mid-term survival and freedom from reintervention are comparable to younger patients. These results suggest that age alone should not represent a contraindication to open repair in appropriately selected individuals. Full article

The cold-rolled 2024 aluminum alloy sheets were subjected to solution treatments at different temperatures followed by artificial aging. The microstructure and mechanical properties were investigated using Vickers microhardness testing, tensile testing, optical microscopy (OM), scanning electron microscopy (SEM) and transmission electron microscopy (TEM). The results indicate that as the solution temperature increases, the coarse particles gradually dissolved into the matrix. At a solution temperature of 500 °C, the grains become nearly equiaxed with an average size of ~16.47 μm, and no significant grain growth is observed compared to the as-rolled condition. The refined microstructure contributes to excellent mechanical properties. In contrast, when the solution temperature increases to 550 °C, the microstructure shows severe grain coarsening (up to ~61.39 μm), which indicates that overburning occurs, resulting in a drastic deterioration in mechanical performance. As the aging time increases, precipitates become more uniformly and densely distributed throughout the matrix, and the hardness initially increases and reaches a peak after approximately 6 h of aging at 180 °C. The optimal mechanical performance, characterized by a favorable combination of strength and ductility, is achieved at an aging time of 6 h. In summary, the optimal heat treatment condition for the cold-rolled 2024 aluminum alloy sheet is solution treatment at 500 °C for 1 h followed by aging at 180 °C for 6 h, resulting in a hardness of 154 HV, a tensile strength of 465 MPa and an elongation of 13%. Full article

Background/Objectives: Adenomyosis is increasingly being identified in women of childbearing age as a cause of infertility and adverse pregnancy outcomes. As hysterectomies are not suitable for fertile women, conservative surgical management has become a promising solution. We aimed to synthesize current evidence on conservative uterus-sparing surgical techniques for adenomyosis, focusing on implications for infertility treatment and pregnancy outcomes. Methods: A search of PubMed, Google Scholar, and Europe PMC from 2022 to July 2025 was conducted using combinations of the words “adenomyosis,” “fertility,” “infertility,” “pregnancy outcomes,” “adenomyomectomy,” and “uterine-sparing surgery.” Sixteen high-relevance studies were chosen that included reproductive-aged women who had conservative surgery for adenomyosis. Results: Excisional techniques such as adenomyomectomy yield pregnancy rates of >50% and live birth rates of up to 70% in focal disease, with less success in diffuse disease. Non-excisional approaches—high-intensity focused ultrasound (HIFU), radiofrequency ablation (RFA), and uterine artery embolization (UAE)—yield equivalent pregnancy (40–53%) and live birth (35–74%) rates in selected patients, with fewer surgical complications. Adjunctive hormonal therapy, particularly GnRH agonists, appears to improve outcomes. Risks include placenta accreta spectrum disorders and uterine rupture (≤6%), especially in diffuse adenomyosis. The type of lesion, location, and junctional zone thickness are strong predictors of fertility outcomes. Conclusions: Conservative surgery can augment fertility in appropriately chosen women with adenomyosis, with removal being the preferred treatment for focal disease and non-removal techniques offering encouraging alternatives in mild or intracorporeal disease. The addition of adjunct hormonal therapy and standardized patient selection criteria will optimize results. The lack of European professional society guidelines underscores the need for harmonized protocols in order to standardize the diagnosis, surgery, and reporting of results. Full article

This study investigated the effects of silver doping, natural ageing, and thermal-induced oxidation on the surface chemistry, morphology, and thermal performance of copper thin films. Ag is used as a doping element in Cu because, in bulk materials it usually refines microstructures, leading to increased hardness and mechanical strength through mechanisms such as solid solution strengthening and twinning. In this work was also used due to its oxidation resistance. Thin films of pure and silver-doped copper (Cu_2Ag and Cu_4Ag) were deposited by RF magnetron sputtering and characterized as-deposited, naturally aged, at room temperature and humidity for one year, and thermally treated at 200 °C, in air. The characterization included X-ray photoelectron spectroscopy (XPS), Atomic Force microscopy (AFM), and thermal analysis, specifically thermal conductivity (λ), thermal diffusivity (α), and thermal capacity (ρ.Cp). Surface XPS analysis revealed changes in copper and silver oxidation states after natural aging and annealing. AFM revelead that the incorporation of silver and heat treatment altered the surface roughness and morphology. Thermal analysis found that for lower silver concentrations, the thermal conductivity increased, but aging and annealing had varying effects depending on the silver content. The Cu_4Ag film showed the best thermal stability after natural ageing. Overall, the results suggest that carefully controlled silver doping can enhance the thermal stability of copper thin films for applications where aging is a concern, such as microelectronics. Full article

Anxiety disorders represent a significant global health challenge, yet a substantial treatment gap persists, motivating the development of scalable digital health solutions. This study investigates the potential of integrating passive physiological data from consumer wearable devices with subjective self-reported surveys to predict state–trait anxiety. Leveraging the multi-modal, longitudinal LifeSnaps dataset, which captured “in the wild” data from 71 participants over four months, this research develops and evaluates a machine learning framework for this purpose. The methodology meticulously details a reproducible data curation pipeline, including participant-specific time zone harmonization, validated survey scoring, and comprehensive feature engineering from Fitbit Sense physiological data. A suite of machine learning models was trained to classify the presence of anxiety, defined by the State–Trait Anxiety Inventory (S-STAI). The CatBoost ensemble model achieved an accuracy of 77.6%, with high sensitivity (92.9%) but more modest specificity (48.9%). The positive predictive value (77.3%) and negative predictive value (78.6%) indicate balanced predictive utility across classes. The model obtained an F1-score of 84.3%, a Matthews correlation coefficient of 0.483, and an AUC of 0.709, suggesting good detection of anxious cases but more limited ability to correctly identify non-anxious cases. Post hoc explainability approaches (local and global) reveal that key predictors of state anxiety include measures of cardio-respiratory fitness (VO₂Max), calorie expenditure, duration of light activity, resting heart rate, thermal regulation and age. While additional sensitivity analysis and conformal prediction methods reveal that the size of the datasets contributes to overfitting, the features and the proposed approach is generally conducive for reasonable anxiety prediction. These findings underscore the use of machine learning and ubiquitous sensing modalities for a more holistic and accurate digital phenotyping of state anxiety. Full article

The adhesive bonding of high-pressure die-cast (HPDC) aluminum alloy AlSi10MnMg is extensively applied in the aerospace and automotive sectors. Surface pretreatment of HPDC aluminum prior to bonding is crucial for enhancing bonding strength and durability, as it regulates surface roughness, and chemical properties. Traditional multi-step surface treatments including chromic acid anodizing for HPDC AlSi10MnMg are hazardous, complex, and often fail to balance adhesive bonding durability and corrosion protection, limiting their industrial applicability. This study examined the impact of various chemical treatments on the adhesive bonding performance of an AlSi10MnMg aluminum alloy. The treated surfaces were bonded using a structural adhesive, and bonding performance was evaluated via wedge tests under pristine conditions and after accelerated aging. A scanning electron microscope (SEM) was used to study the surface morphology, chemical composition, and corrosion characteristics of the treated surfaces. Energy dispersive spectroscopy (EDS), electrochemical impedance spectroscopy (EIS), and potentiodynamic polarization measurements were employed. Excellent adhesion characteristics, dominated by the cohesive failure of the adhesive, were observed in H₂O₂-treated samples. The H₂O₂-treated samples exhibited the shortest initial crack length, indicating a superior baseline bonding quality, and showed minimal crack propagation (only slight extension) after aging under extreme environmental conditions (70 °C and 100% relative humidity for 4 weeks). Electrochemical measurements revealed that the SG200-treated sample achieved the lowest corrosion current density (0.25 ± 0.03 μA/cm²) with an excellent corrosion resistance, while sol–gel-treated samples generally suffered from a poor adhesion, with interfacial failure. This study proposes a simplified, single-step chemical treatment using an H₂O₂ solution that effectively achieves both a strong adhesive bonding and an excellent corrosion resistance, without the drawbacks of conventional methods. It offers a viable alternative to conventional multi-step hazardous surface treatments. Full article

Background: Femoral neck fractures (FNFs) in elderly patients are a growing concern given increased life expectancy and functional demands. Hemiarthroplasty is the standard treatment, but optimal fixation, approach, and perioperative management remain debated. This study aims to describe implant characteristics, perioperative details, survival, and complications of hemiarthroplasty in patients aged ≥75 years. Methods: A descriptive retrospective analysis was performed using the Emilia Romagna arthroplasty registry (RIPO). All patients ≥ 75 years who underwent hemiarthroplasty for FNFs between 2000 and 2021 were included. Data on demographics, implant fixation, surgical approach, complications, and revisions were analyzed. Implant survival was assessed with Kaplan–Meier analysis. Results: A total of 43,657 procedures were identified; the mean age was 85.5 years, and 73.7% were female. Cemented stems were used in ~76% of cases. The lateral approach was most common (52.6%), followed by posterolateral (43.7%) and anterior (2.9%). Overall revision rate was <2% (853 cases). Dislocation was the leading cause of failure (46.9%), followed by periprosthetic fracture, acetabular wear, aseptic loosening, and infection. Heparins were used for thromboprophylaxis in >93% of cases. Ninety-day mortality reached 13.9%. Conclusions: In this large registry study, cemented stems and the lateral approach were predominant. Despite low revision rates, dislocation remained the main cause of failure. High perioperative mortality highlights the vulnerability of this population and the importance of multidisciplinary care. Future high-quality studies, as prospective studies, will be necessary to determine the optimal solutions in this frail elderly population. Full article

This study investigated the effects of four heat treatment processes on the microstructure, damping capacity, and mechanical properties of Mn-Cu alloys. The results indicated that the alloy did not undergo spinodal decomposition and twinning after solution treatment. After solution and aging treatment, the alloy underwent spinodal decomposition and formed Mn-rich regions, increasing the martensitic transformation temperature (M_s), promoting martensitic transformation, forming twin boundaries, and enhancing damping capacity and mechanical properties. The cryogenic treatment and furnace cooling process facilitated the process, promoted the formation of twin boundaries, and improved damping capacity, and the degree of promotion by furnace cooling process was more significant. In addition, cryogenic treatment promoted grain refinement, increased dislocation density, improved strength, and facilitated the improvement of mechanical properties. This provided a reference for preparing high-damping Mn-Cu alloys with good comprehensive performance. Full article

Introduction: Expanded hemodialysis using medium cut-off (MCO) dialyzers effectively removes middle-molecule uremic toxins, comparable to hemodiafiltration, but their single-use designation increases the dialysis costs. This study evaluated the efficacy and safety of reusing two MCO dialyzers available in Thailand. Methods: In this randomized controlled trial, hemodialysis patients were assigned to receive treatment with either Theranova^® 500 or Elisio^® 21HX dialyzers. Each dialyzer was reprocessed using peracetic acid and reused for up to 15 sessions. Dialyzer performance was assessed by the reduction ratios (RRs) of solutes, including β2-microglobulin (β2-MG), kappa and lambda free light chains (κ-FLC, λ-FLC), and interleukin-6 (IL-6), at baseline and the 2nd, 5th, 10th, and 15th sessions. Results: Forty-eight patients were enrolled (mean age 63.6 ± 13.7 years; 62.5% male) and randomized into 2 groups with comparable baseline characteristics. RRs for β2-MG, κ-FLC, and λ-FLC were similar between the groups and declined modestly over time after dialyzer reused (β2-MG: 78.2% to 72.5% vs. 77.2% to 74.5%, κ-FLC: 64.6% to 51.3% vs. 58.9% to 49.5%, and λ-FLC: 51.2% to 46.4% vs. 49.4% to 39.2% in the Theranova^® 500 and Elisio^® 21HX groups, respectively). Theranova^® 500 demonstrated significantly higher IL-6 clearance in the 2nd (29.9% vs. 16.0%; p = 0.018) and 5th (23.8% vs. 7.7%, p = 0.031) sessions. It also showed a non-significant trend toward lower dialyzer survival (HR 3.98; p = 0.085) and higher, though clinically acceptable, albumin loss (mean difference 0.56 g/session; p < 0.001), which decreased with reuse. Conclusions: Both MCO dialyzers demonstrated comparable overall performance during reuse. Theranova^® 500 provided better IL-6 clearance with manageable albumin loss. Implementation of high-quality dialyzer reuse protocols may optimize clinical efficacy and patient outcomes while balancing cost, accessibility, and environmental considerations. Full article