Search Results (114,378)

In engineering practice, additively manufactured (AM) metal and metal alloy structural components, which often contain geometric discontinuities to fulfil functional requirements, are subjected to cyclic service loads. Among the possible loading configurations, far-field Mode I loading is frequently considered as a nominal reference condition. Within this context, a methodology for the fatigue assessment of notched AM Scalmalloy components subjected to Mode I far-field loading is proposed, combining the Strain Energy Density (SED) approach with a multiaxial critical plane-based fatigue criterion. The fatigue assessment is carried out at a verification point whose position is defined as a function of the characteristic length of the SED control volume for Mode I loading, determined through two alternative procedures, and of the surface roughness of the component. The proposed methodology is validated against experimental fatigue data available in the literature for AM Scalmalloy specimens featuring a circumferential semi-circular notch and subjected to Mode I far-field cyclic loading, which induces a locally multiaxial stress state at the notch root, given that the formulation does not rely on material-specific assumptions and could in principle be extended to other notched AM metal and metal alloy components. Full article

Water pollution from the sugar industry is a significant environmental problem as it generates effluents containing organic compounds, solids, nutrients, and chemicals such as H₃PO₄, SO₂, and Ca (OH)₂. Mesoporous silica nanoparticles (MSNs) are a promising option for its treatment, due to their high surface area, and ease of functionalization using organically modified silanes (ORMOSIL) improving its adsorption of contaminants. The objective of this study is to remove anions (Cl⁻, SO₄²⁻, NO₂⁻, NO₃⁻) from the wastewater of a sugar mill in Campeche, Mexico and improve its physicochemical parameters (conductivity, turbidity, dissolved oxygen) using MSNs functionalized with 3-aminopropyltriethoxysilane (MSNs-APTES) or 3-(2-aminoethylamino)propyltrimethoxysilane (MSNs-3-2-A). The synthesized materials were characterized by FTIR and XPS analyses, which confirmed the incorporation of amino functional group and that MSNs-APTES exhibited a stronger N1s signal, indicating greater surface accessibility of amino groups. However, a partial surface masking under complex aqueous conditions was revealed. In contrast, MSNs-3-2-A showed lower apparent surface exposure of amino groups maintaining a more stable functional presence after exposure, likely due to its diamine structure promoting more confined interactions within the mesoporous framework. The results of removing anions and physicochemical parameters of wastewater exposed to MSNs indicate that treatments with MSNs-APTES and MSNs-3-2-A were able to significantly reduce the concentrations of SO₄²⁻, NO₂⁻ and NO₃⁻ anions, but not able to reduce the chloride ion. A decrease in turbidity and an increase in dissolved oxygen were also observed. Then, both materials proved to be functional and stable in contact with wastewater, demonstrating their potential for environmental remediation, particularly for the removal of anionic contaminants from sugar industry effluents. Full article

In this study, a combined approach of molecular dynamics (MD) simulations and experimental bottle tests was employed to systematically investigate the demulsification performance and underlying mechanisms of two distinct demulsifiers—Demulsifier X (SP/BP series and alcohol-initiated polyethers) and Demulsifier Y (AP/AE series and amine-initiated polyethers)—targeting polymer-containing oil-in-water (O/W) emulsions derived from heavy oil polymer flooding. Molecular models for heavy oil, saline water, partially hydrolyzed polyacrylamide (HPAM), and demulsifiers were constructed using BIOVIA Materials Studio software. Their dynamic behaviors at the oil–water interface were simulated within three distinct saline systems containing NaCl, CaCl₂, and MgCl₂, respectively. Simulation results indicated that the demulsifiers effectively displaced interfacial HPAM molecules, increased interfacial tension, and reduced interfacial interaction energy. Experimental bottle tests, evaluating the effects of settling time, temperature, and concentration on dehydration rates and oil content, confirmed that Demulsifier Y outperformed Demulsifier X. Specifically, Demulsifier Y achieved superior dehydration rates with lower dosages, shorter settling times, and reduced temperature requirements under optimal conditions. This work provides both microscopic mechanistic insights and macroscopic experimental validation for the screening and application of high-efficiency demulsifiers. Full article

The α-gal epitope is synthesized in non-primate mammals and New-World monkeys by the glycosylation enzyme α1,3galactosyltransferase (α1,3GT), encoded by the GGTA1 gene. Ancestral Old-World monkeys and apes synthesizing α-gal epitopes underwent extinction 20–30 million years ago. Their mutated offspring, with the inactivated GGTA1 gene, survived and produced the natural anti-Gal antibody, specifically binding α-gal epitopes. Anti-Gal protected the surviving offspring from lethal viruses presenting α-gal epitopes, which killed α-gal-synthesizing parental primates. Anti-Gal constitutes ~1% of human immunoglobulins and is also produced in Old-World monkeys and apes. α-Gal epitopes can serve as therapeutic agents in several clinical disciplines: 1. Cancer immunotherapy: Engineering cancer cells to express α-gal epitopes results in anti-Gal binding to these cells and localized activation of the complement system that kills these cancer cells and recruits the antigen-presenting cells (APCs) dendritic cells and macrophages. Anti-Gal bound to cancer cells targets them for robust uptake by APCs, which process internalized tumor antigens (TAs) and transport them to lymph nodes for activation of cytotoxic T-cells. These T-cells kill TA-presenting metastatic tumor cells. Clinical trials demonstrated that such engineering is achieved by intra-tumoral injection of α-gal glycolipids, the use of recombinant α1,3GT, or the use of oncolytic viruses containing the GGTA1 gene. 2. Viral vaccines: Inactivated whole-virus vaccines presenting α-gal epitopes bind anti-Gal, which targets them for extensive uptake by APCs, thereby increasing their immunogenicity by ~100-fold. 3. Injured-tissue regeneration: Anti-Gal binding to α-gal-presenting nanoparticles administered to wounds, into the post-myocardial infarction (MI) injured myocardium and into injured spinal cord, activates the complement system that recruits pro-regenerative macrophages, which orchestrate regeneration by recruiting stem cells and the secretion of pro-regenerative cytokines. All these findings suggest that α-gal/anti-Gal antibody interaction can serve as a novel therapeutic approach, applicable to various clinical settings. Full article

Equine Infectious Anemia (EIA) is a retroviral disease of equids, for which there is no vaccine particularly adapted to American viral strains. In this work we searched for possible epitope regions for the surface proteins gp90 and gp45, rationally employing the latest available bioinformatics tools that constitute the state of the art in the field. We selected eight regions that contain numerous overlapping epitopes that have a high coverage amongst American viral strains and designed a chimeric envelope protein with those proteins fused in tandem as a novel vaccine candidate. In silico predictors were used to analyze chimeric protein physicochemical and immunogenic properties, as well as its allergenicity and toxicity. Protein structure was predicted and validated, and its ability to trigger cytotoxic immune responses was predicted by molecular docking to ELA alleles. The proposed sequence is predicted to be highly immunogenic and sets the base for a novel EIAV vaccine that could be used to protect against several American field strains. Full article

Background/Objectives: Topical treatment efficacy is fundamentally dependent on effective delivery of the active pharmaceutical ingredient and its compatibility with the compromised skin barrier. Many commercially available industrial formulations contain poorly tolerated excipients or lack essential therapeutic combinations, frequently leading to complex polypharmacy and reduced patient adherence. In contrast, magistral galenic preparations offer a degree of therapeutic personalization unmatched by standardized products, positioning the compounding laboratory as a strategic resource in dermatological care. This analysis aims to identify and evaluate ten indispensable magistral formulations selected based on their high clinical frequency and the absence of equivalent, globally available commercial alternatives. Materials and Methods: Each formulation was according to four strategic pillars: (i) dosage customization, (ii) excipient modification (removing allergens like parabens or fragrances), (iii) synergistic ingredient association, and (iv) vehicle optimization. The dermatological conditions addressed include pediatric scabies, melasma, hidradenitis suppurativa, and autoimmune mucosal diseases. Key selections include Kligman’s formula for hyperpigmentation and personalized trichological preparations. Results: The identified “top 10” magistral formulation reveals significant gaps within the standardized pharmaceutical market. In pediatric scabies (specifically patients < 15 kg), benzyl benzoate and precipitated sulfur demonstrate superior efficacy over permethrin, addressing emerging resistance patterns. For acute inflammatory dermatoses, Hoffmann Paste and Lime Liniment provide effective protective barriers while neutralizing local acidity. Antiseptic and astringent solutions, including Burow’s and Silver Nitrate (AgNO₃) offer targeted mechanisms and biocidal activity, often absent in standardized topicals. Furthermore, specialized adhesive oral pastes for autoimmune conditions minimizing systemic absorption and associated risks. Conclusions: Magistral compounding represents a cornerstone of precision medicine in dermatology enabling tailored therapies that bridge critical gaps left by standardized formulations, particularly in complex cases and vulnerable populations. Full article

The organization of safe industrial waste management is an integral part of the global sustainable development strategy. This study provides a preliminary assessment of the processing and recycling potential of strongly alkaline (pH 11–12) sediments accumulated in an abandoned sludge pond (Berezniki, Perm Krai, Russia), based on the initial characterization of their material composition. Sediment samples from the sludge pond were collected, layer-by-layer, over the entire depths of four sediment cores. The collected samples have the following characteristics: sediment particles are composed of up to 80% fine particles < 0.05 mm, with up to 20% fine particles < 0.002 mm. XRD data showed that the sediment consisted of calcite (67.7 wt.%), halite (11.5 wt.%), and other hydrogenic and terrigenous minerals. XRF data also found that the primary constituents in the sediment are CaO (up to 40%), Cl (up to 13%), and LOI (up to 35%). The results of the material composition study indicate a high degree of similarity between the accumulated sediments and solid waste from soda ash production, known as ammonia–soda residue (ASR). Based on experience with calcium-containing waste, this study recommends options for the secondary use of sludge, identifying two main possibilities: environmental protection and construction. We have developed an algorithm for the recycling and reuse of sludge that identifies risks, limitations, and recommended next steps. However, significant knowledge gaps regarding the environmental, toxicological, and the physical–mechanical properties of sludge prevent us from recommending a specific disposal option. The results of this review will serve as guidelines to help develop a roadmap for the disposal process. They will also inform decision-makers about sustainability issues related to industrial waste disposal. Full article

Polyester resin composites containing expanded graphite often exhibit reduced mechanical strength due to the porous structure of the filler. The aim of this study was to enhance mechanical performance without compromising electrical behaviour. Although carbon fibre and expanded graphite are chemically identical carbon allotropes, their distinct morphologies motivated the use of carbon fibre to reinforce expanded graphite-filled polyester composites. To examine the role of expanded graphite porosity, ultrasonicated EG was used to produce exfoliated, lower-porosity particles, while vacuum processing was applied to remove entrapped air prior to curing. Adding 0.5–5 wt% milled carbon fibre increased electrical conductivity by up to three orders of magnitude relative to neat polyester while maintaining 70–80% of the original specific strength at moderate fibre contents. Ultrasonicated EG reduced tensile strength by more than 50% at 5 wt% loading and decreased conductivity due to additional grain boundary formation. Vacuum-processed EG not only provided slight mechanical enhancements but also significantly improved electrical properties by lowering surface resistance by 6–10 orders of magnitude, reaching the tens-of-Ω range at 3–5 wt% EG. This performance is comparable to previously reported conductive EG/polymer systems, which exhibit surface resistances of 10–10² Ω at 5 wt% EG. This systematic comparison offers practical guidelines for balancing conductive percolation and mechanical reinforcement in expanded graphite polyester composites. Full article

Micro-crack detection on concrete surfaces is challenging because labeled micro-crack data are scarce, crack cues are extremely weak (often only a few pixels wide), and complex backgrounds (e.g., non-uniform illumination, shadows, and stains) degrade feature extraction; this study aims to improve both data availability and detection robustness for practical inspection. A Poisson image editing-based synthesis strategy is developed to generate visually coherent micro-crack samples via gradient-domain blending, and a Complex-Scene-Tolerant YOLO (CST-YOLO) detector is proposed on top of YOLOv10, following an “lighting decoupling–global perception–micro-feature enhancement” design. CST-YOLO integrates an Lighting-Adaptive Preprocessing Module (LAPM) to suppress illumination/shadow perturbations, a Spatial–Channel Sparse Transformer (SCS-Former) to model long-range crack topology efficiently, and a Small Object Focus Block (SOFB) to enhance micro-scale cues under cluttered backgrounds. Experiments are conducted on a 650-image dataset (200 real and 450 synthesized), in which synthesized samples are used only for training, and the validation/test sets contain only real images, with a 7:2:1 split. CST-YOLO achieves 0.990 mAP@0.5 and 0.926 mAP@0.5:0.95 at 139 FPS, and ablation results indicate complementary contributions from LAPM, SCS-Former, and SOFB. These results support the effectiveness of combining realistic synthesis and architecture-level robustness for real-time micro-crack detection in complex scenes. Full article

Nowadays, most water meters are mechanical and intended to be installed on pipes completely filled with water. But the pipelines of a water supply network may contain air, which poses a metrological problem: if this air flows through the domestic intakes, it can propel the moving part of the meters, resulting in an overestimation of water consumption. By how much? There is a surprising lack of field data on this topic. So, the case of one house is reported: it is located at the top of a steep and sparsely occupied street, with water typically supplied for a few hours per day. The house’s meter (multi-jet) was estimating a huge and erratic consumption: several times more than what would be normally expected on average, and with some daily peaks exceeding the built storage capacity (underground cistern plus roof tank). After one year of monitoring, including the installation of a few devices, it is concluded that: (1) the house’s meter was affected by air in the water supply network (most likely for different reasons, of which three are discussed); (2) a small air-release valve installed just upstream from the meter did not solve the problem; (3) another mechanical meter (single-jet) installed just downstream was also affected by air (although to a lesser extent), and (4) reliable estimates of water consumption were finally obtained with an ultrasonic meter installed at the domestic intake (and with a mechanical meter installed at the roof tank’s outlet). Thus, the case reported emphasizes the need to study more how air in pipelines affects mechanical water meters and to sometimes consider alternatives for measuring domestic water consumption. Full article

Network Intrusion Detection Systems (NIDS) play a crucial role in protecting network environments against cyberattacks. However, traditional NIDS rely heavily on predefined attack signatures, which limits their ability to detect zero-day attacks. Although machine learning-based intrusion detection techniques have been widely adopted in Network Intrusion Prevention Systems (NIPS), publicly available network traffic datasets often suffer from severe class imbalance, leading to biased learning and degraded detection performance. To address this issue, this study proposes data augmentation framework based on a 3D-GAN (Three-Discriminator Generative Adversarial Network). The proposed architecture integrates an autoencoder, a CNN (Convolutional Neural Network), and an LSTM (Long Short-Term Memory) network as parallel discriminators to capture the statistical, spatial, and temporal characteristics of network traffic. By jointly optimizing multiple discriminator losses, the framework enhances training stability and generates high-quality synthetic samples. Experiments were conducted on the CIC-UNSW-NB15 dataset using Random Forest-, XGBoost (eXtreme Gradient Boosting)-, and BiGRU (Bidirectional Gated Recurrent Unit)-based classifiers. Two augmented datasets were constructed to address class imbalance, containing approximately 100,000 and 350,000 samples, respectively. Among them, Dataset 2, augmented using the proposed 3D-GAN, demonstrated the most significant performance improvement. Compared to the original imbalanced dataset, the XGBoost classifier trained on Dataset 2 achieved approximately a 4% increase in both accuracy and F1-score, while reducing the false positive rate and false negative rate by approximately 3.5%. Furthermore, the optimal configuration attained an F1-score of 0.9816, indicating superior capability in modeling complex network traffic patterns. Overall, this study highlights the potential of GAN-based data augmentation for alleviating class imbalance and improving the robustness and generalization of intrusion detection systems. Full article

Liver fibrosis is a regenerative mechanism, but it pathologically intensifies in the course of various diseases, leading to progressive impairment of organ function. This process involves parenchymal cells (hepatocytes) and non-parenchymal cells (Kupffer cells, stellate cells, and endothelial cells). Its classic mechanism is based on the activation of stellate cells, the main effector of fibrosis, by transforming growth factor β (TGF-β), which stimulates excessive collagen production. The role of interleukin 13 (IL-13), which enters the liver parenchyma from resident lymphoid cells, seems to be equally important. By binding to the IL-13Rα receptor on stellate cells, IL-13 initiates their activation and increases the production of type I collagen. This process is supported by the Erk1/2 pathway, which induces the expression of genes promoting extracellular matrix deposition. Due to its role as an initiator of the fibrotic cascade, IL-13 represents a promising therapeutic target for inhibiting progressive scarring. In this context, cell therapies are considered to be of great importance. Mesenchymal and epithelial stem cell secretions contain, among others, exosomes that carry paracrine mediators that can inhibit the profibrotic effects of IL-13 by modulating IL-13 signalling, limiting the development of organ scarring. However, the data on clinical applications of this molecular pathway is scarce, as there are no significant studies focusing on IL-13 influence in liver fibrosis. This review emphasizes the lack of clear clinical data linking the beneficial effects of cell therapy with modulation of the IL-13 pathway, which highlights the need for such studies. Full article

To address the lag and limited sensitivity of conventional shipping freight indicators, this study develops a news-based sentiment measure for the shipping market and examines its association with BDI dynamics. Using shipping-related news headlines from 2019 to 2025, a RoBERTa classifier fine-tuned on manually annotated data is used to quantify headline sentiment, and a daily Cumulative Sentiment Index (CSI) is constructed using an event-smoothing window with exponential decay. A higher CSI indicates more positive market sentiment, while a lower CSI reflects more negative sentiment. Empirical evidence shows that CSI exhibits pronounced responses around major market events and is closely linked to BDI behavior in event windows. In addition, an EGARCH specification augmented with CSI indicates that sentiment is significantly associated with conditional volatility, suggesting that news-based sentiment contains incremental information relevant to BDI risk dynamics. Overall, the proposed CSI provides a quantitative approach to tracking shipping market sentiment using publicly available news headlines and offers a complementary perspective to transaction-based freight indices. Full article

Metal packaging materials remain fundamental across food, beverage, pharmaceutical, cosmetic, and technical sectors owing to their combination of mechanical robustness, total light and gas barrier performance, thermal resistance, and established recyclability. Aluminum alloys, tinplate, tin-free steel (TFS/ECCS), stainless steels, metal–matrix composites (MMCs), and metal–polymer or metal–paper laminates define distinct metal-based packaging architectures whose metallurgical and interfacial design governs forming behaviour, corrosion and migration pathways, coating integrity, and mechanical reliability. In this review, these architectures are examined from a materials- and systems-oriented perspective, linking composition, microstructure, processing routes, and surface engineering to functional performance across rigid, semi-rigid, and flexible formats. The analysis also considers the ongoing transition from bisphenol A (BPA)-based epoxy linings to BPA-free and hybrid coating chemistries, the use of nano-structured metallic and metal-oxide surfaces, and the role of composite laminates in which thin metallic foils are combined with polymeric or paper-based structural layers. These material and architectural aspects are discussed together with safety, regulatory, and circularity considerations that increasingly influence the design and selection of metal-based packaging. Ion migration, coating degradation, and corrosion under realistic storage environments are considered in relation to EU, FDA, ISO, and sector-specific requirements, while attention is also paid to the contrast between well-established closed-loop recycling infrastructures for aluminum and steel and the more complex end-of-life management of coated metals and multilayer laminates. The review provides a unified framework connecting materials selection, metallurgical design, processing, performance, regulatory compliance, and sustainability in metal-based packaging systems. Applications spanning consumer goods, pharmaceuticals, cosmetics, and advanced electronics are integrated to support an overall understanding of how metallic and hybrid metal-based architectures underpin functional reliability and life-cycle sustainability. Full article

The present study evaluated the effects of dietary inclusion of Hermetia illucens (HI) and Tenebrio molitor (TM) larvae meals at 2% and 4% on growth performance, carcass yield, meat quality, blood parameters, and intestinal morphometry in broiler chickens. A total of 1750 one-day-old male Ross 308 broilers were assigned to five dietary treatments: a Control diet, or diets containing 2% or 4% of HI meal (HI2, HI4) or TM meal (TM2, TM4). Growth performance, feed intake (FI), feed conversation ratio (FCR), and mortality were unaffected by dietary treatments. Breast yield increased significantly in insect-fed groups (29.2–29.9%) compared with Control (27.6%). Birds fed HI4 exhibited lower breast pH (5.77 vs. 5.89) and increased cooking loss (29.2% vs. 27.3%), suggesting reduced WHC within acceptable ranges. Thigh meat showed dose-dependent lipid accumulation in insect-fed birds. Serum total cholesterol increased in TM-fed birds with elevated HDL-cholesterol, while LDL-cholesterol remained unaffected. TM meal specifically induced shorter ileal length compared with Control and HI-fed groups. Overall, both full-fat insect meals can be safely incorporated at low inclusion levels without adverse effects on broiler growth, health, or carcass quality. Full article