Search Results (3,251)

This study investigates the technological and chemical causes of early zinc-coating degradation on cold-formed steel sections produced from DX51D+Z140 galvanized coils. Commercially manufactured products exhibiting early corrosion symptoms were used in this study. The entire processing route, which included strip preparation, cold rolling, hot-dip galvanizing, passivation, multi-roll forming, storage, and transportation to customers, was analyzed with respect to the residual surface chemistry and process-related deviations that affect the coating integrity. Thirty-three specimens were examined using electromagnetic measurements of coating thickness. Statistical analysis based on the Cochran’s and Fisher’s criteria confirmed that the increased variability in zinc coating thickness is associated with a higher susceptibility to localized corrosion. Surface and chemical analysis revealed chloride contamination on the outer surface, absence of detectable Cr(VI) residues indicative of insufficient passivation, iron oxide inclusions beneath the zinc coating originating from the strip preparation, traces of organic emulsion residues impairing wetting and adhesion, and micro-defects related to deformation during roll forming. Early zinc coating degradation was shown to result from the cumulative action of multiple technological (surface damage during rolling, variation in the coating thickness) and environmental (moisture during storage and transportation) parameters. On the basis of the obtained results, a methodology was proposed to prevent steel product corrosion in industrial conditions. Full article

As demand for rare earth elements (REEs) rises and environmental concerns about the extraction of primary resources grow, biological methods for removing these elements have gained significant attention as eco-friendly alternatives. This study assessed the ability of the green macroalga Ulva lactuca to remove europium (Eu) from aqueous solutions, evaluated the cellular partition of this element and investigated the toxicological effects of Eu exposure on its biochemical performance. U. lactuca was exposed to variable concentrations of Eu (ranging from 0.5 to 50 mg/L), and the amount of Eu in both the solution and algal biomass was analyzed after 72 h. The results showed that U. lactuca successfully removed 85 to 95% of Eu at low exposure concentrations (0.5–5.0 mg/L), with removal efficiencies of 75% and 47% at 10 and 50 mg/L, respectively. Europium accumulated in algal biomass in a concentration-dependent manner, reaching up to 22 mg/g dry weight (DW) at 50 mg/L. The distribution of Eu between extracellular and intracellular fractions of U. lactuca demonstrated that at higher concentrations (5.0–50 mg/L), 93–97% of Eu remained bound to the extracellular fraction, whereas intracellular uptake accounted for approximately 20% at the lowest concentration (0.5 mg/L). Biochemical analyses showed significant modulation of antioxidant defenses. Superoxide dismutase activity increased at 10 and 50 mg/L, while catalase and glutathione peroxidase activities were enhanced at lower concentrations (0.5–1.0 mg/L) and inhibited at higher exposures. Lipid peroxidation levels remained similar to controls at most concentrations, with no evidence of severe membrane damage except at the highest Eu level. Overall, the results demonstrate that U. lactuca is an efficient and resilient biological system for Eu removal, combining high sorption capacity with controlled biochemical responses. These findings highlight its potential application in environmentally sustainable remediation strategies for REE-contaminated waters, while also providing insights into Eu toxicity and cellular partitioning mechanisms in marine macroalgae. Full article

Milling force is a parameter affecting wood processing quality, tool life, and energy consumption, and its variation is influenced by the multi-factor coupling of cutting parameters and tool geometric factors. This study systematically investigates milling forces during the processing of pine wood (Pinus sylvestris var. mongholica Litv.) using a hybrid modeling approach combining principal component analysis (PCA) and multiple linear regression (MLR). Firstly, PCA was employed to reduce the dimensionality of the tool rake angle (γ), helix angle (λ), cutting depth (h), feed per tooth (U_z), and triaxial milling forces (F_x, F_y, F_z); this eliminated the multicollinearity among variables and extracted the integrated features. Subsequently, an MLR model was constructed using the principal components as independent variables to quantitatively evaluate the contribution of each factor to milling forces. The results support the conclusion that PCA successfully extracted the first four principal components (cumulative variance contribution rate: 92.78%), with PC1 (49.16%) characterizing the comprehensive milling force effect and PC2 (15.03%) primarily reflecting the characteristics of the tool geometric parameters. The established MLR model demonstrated a high significance (R²: F_x = 0.915, F_y = 0.907, F_z = 0.852). The cutting depth exerted a significant positive driving effect on the triaxial milling forces via PC1 (each 1 mm increase in depth increased the PC1 score by 0.64 units, resulting in increases of 27.2%, 26.6%, and 21.8% for F_x, F_y, and F_z, respectively). The helix angle significantly suppressed F_y through PC2 (β = −0.090, p < 0.001), whereas the rake angle exhibited a weak negative effect on F_x via PC3 (β = −0.015). Parameter optimization identified the combination γ = 25°, λ = 30°, h = 0.5 mm, and U_z = 0.1 mm∙z⁻¹ as optimal, which reduced the triaxial milling forces by 62.3% compared to the experimental maximum. This study provides a theoretical foundation and novel parameter optimization strategy for the efficient, low-damage processing of wood materials. Full article

The larvae and damage symptoms of Cnaphalocrocis medinalis and Cnaphalocrocis patnalis exhibit a high degree of similarity, which often leads to confusion between the two species. This has posed challenges for research on their population dynamics and the development of effective control measures. To better understand their morphological and damage characteristics, population dynamics, species identification based on COI gene fragments, and potential future distribution, a searchlight trap monitoring program was conducted for C. medinalis and its closely related species C. patnalis across four sites in Longhua, Haitang, and Yazhou districts in Hainan Province from 2021 to 2023. The MaxEnt model was utilized to predict the potential global distribution of both species, incorporating known occurrence points and climate variables. The trapping results revealed that both species reached peak abundance between April and June, with a maximum of 1500 individuals captured in May at Beishan Village, Haitang District. Interannual population fluctuations of both species generally followed a unimodal pattern. Genetic analyses revealed distinct differences in the mitochondrial COI gene fragment, confirming that C. medinalis and C. patnalis are closely related yet distinct species. The population peak of C. patnalis occurred slightly earlier than that of C. medinalis, and its field damage was more severe. Infestations during the booting to heading stages of rice significantly reduced seed-setting rates and overall yield. Model predictions indicated that large areas of southern Eurasia are suitable for the survival of both species, with precipitation during the wettest month identified as the primary environmental factor shaping their potential distributions. At present, moderately and highly suitable habitats for C. medinalis account for 2.50% and 2.27% of the global land area, respectively, whereas those for C. patnalis account for 2.85% and 1.19%. These results highlight that climate change is likely to exacerbate the damage caused by both rice leaf-roller pests, particularly the emerging threat posed by C. patnalis. Overall, this study provides a scientific basis for invasion risk assessment and the development of integrated management strategies targeting the combined impacts of C. medinalis and C. patnalis. Full article

Background: Visual dysfunction resulting from damage to the optic nerve and retinal neurons represents a significant concern in the postoperative management of childhood-onset craniopharyngioma (CP) survivors. The study aims to evaluate the influence of clinical parameters assessed in patients before and after neurosurgery of CP on peripapillary retinal nerve fiber layer (RNFL) thickness results, using optical coherence tomography (OCT) as early markers of compressive neuropathy. Methods: This study retrospectively examined 73 eyes from 38 individuals diagnosed with CP and 64 eyes from 32 healthy controls matched for age and sex. All patients in the study group underwent a complete endocrine examination before and after surgery. Moreover, all participants in both groups underwent a thorough ophthalmological examination and OCT imaging. The average RNFL thickness was analyzed, along with the RNFL in the superior and inferior sectors and in eight peripapillary sectors around the optic nerve. Clinical variables were analyzed to assess how they relate to alterations in RNFL thickness within specific sectors. Results: After surgery, the peripapillary RNFL thickness was much lower in the CP group than in the healthy control group. Preoperative factors significantly affecting RNFL reduction are as follows: age below 5 years at the time of diagnosis, birth in the country, optic disc oedema, delayed puberty, arginine vasopressin deficiency (AVD), growth hormone deficiency (GHD), hyperprolactinemia, and the degree of preoperative hypothalamic involvement. Moreover, syndrome of inappropriate secretion of antidiuretic hormone (SIADH), as well as the end of AVD, memory disorder and hyperfagia after surgery, correlated with damage to RNFL. Conclusions: CP causes significant thinning of the RNFL, which demonstrates the tumor’s impact on the visual pathway. Monitoring optic nerve damage and assessing outcomes after surgery can be performed effectively using OCT. Additionally, the relationship between RNFL thickness in specific areas and clinical indicators can provide vital information for diagnosing and monitoring. This highlights their usefulness in forecasting visual results. As a result, ongoing RNFL assessments should be part of the long-term management of CP patients to improve visual outlook and identify ongoing or remaining damage. Full article

Despite major advances in guideline-directed cardiovascular therapy, residual cardiovascular risk persists, partly driven by oxidative stress, chronic inflammation, endothelial dysfunction, and mitochondrial injury not fully addressed by current drugs. Translation of plant-based cardioprotectants is constrained by preparation-dependent variability in extract chemistry (plant part/cultivar/processing and extraction method), low and variable systemic exposure for key actives (notably curcuminoids and many polyphenols), and clinically relevant safety/interaction considerations (e.g., hepatotoxicity reports with concentrated green tea extracts and antiplatelet-related bleeding-risk considerations for some botanicals). We therefore provide a mechanism- and translation-oriented synthesis of evidence for cardioprotective botanicals, chosen for long-standing traditional use and scientific validation with reproducible experimental data and, where available, human studies, including Crataegus monogyna, Allium sativum, Olea europaea, Ginkgo biloba, Leonurus cardiaca, and Melissa officinalis. Across studies, polyphenols (especially flavonoids and phenolic acids) and organosulfur compounds are most consistently associated with cardioprotection, while terpene-derived constituents and secoiridoids contribute mechanistically in plant-specific settings (e.g., Ginkgo and Olea). Predominantly in experimental models, these agents engage redox-adaptive (Nrf2), mitochondrial (mPTP), endothelial, and inflammatory (NF-κB) pathways, with reported reductions in ischemia–reperfusion injury, oxidative damage, and apoptosis. Clinical evidence remains heterogeneous and is largely confined to short-term studies and surrogate outcomes (blood pressure, lipids, oxidative biomarkers, endothelial function), with scarce data on hard cardiovascular endpoints or event reduction. Priorities include standardized, chemotype-controlled formulations with PK/PD-guided dosing and adequately powered randomized trials that assess safety and herb–drug interactions. Full article

The renewable energy industry is rapidly growing and the need to retire the systems and their associated components at their end of life is fast approaching. The general field of research into recycling materials in construction aims to provide effective and efficient methods for breaking down components into their raw materials; however, there is limited literature on introducing these materials back into a circular economy. This paper follows previous work by quantifying the volumes of raw materials in solar and wind generation systems, as well as the corresponding network connections to the transmission systems. Using three different-sized systems for solar and wind generation systems in NSW, Australia, an analytical trend has been established for quantifying each material that exists within the system. The transmission systems, however, are isolated cases, dependent on variables that are listed within the paper. Ultimately, the amounts of each material on farms within the ranges presented can be extrapolated from the trends using simple polynomial models provided. The wind generation and solar generation assets produce differing types of materials due to their vastly different technologies; however, many useful materials are available for recycling in future renewable energy systems. Solar and wind farms have differing materials that have potential uses in a circular economy, and the masses that have been presented in the paper are considerably monumental that it would be detrimental to our environment if they were not reintroduced into more sustainable forms of generation. By summarising the mass of materials, further research can be developed to understand the opportunities that exist in recycling materials, rather than further damaging the environment through mining new and raw materials. Full article

Pulse-like ground motions can cause severe damage to buried cast iron (CI) pipelines, which necessitates the selection of optimal seismic intensity measures (IMs) to estimate pipeline repair rates. Such a selection is essential for mitigating uncertainty in the seismic risk assessment of buried CI pipelines. For the first time, this study systematically screens the optimal scalar and vector IMs for buried cast iron pipelines with lead-caulked joints under pulse-like ground motions by a symmetrical evaluation based on the criteria of efficiency, sufficiency, and proficiency, providing a new method for reducing uncertainty in pipeline seismic risk assessment. We initiate the study by selecting 124 pulse-like ground motions from the NGA-West2 database and identifying 19 scalar and 171 vector IMs as potential candidates. A two-dimensional soil–pipe model is introduced, incorporating variability in the sealing capacity of lead-caulked joints along the axial direction. CI pipeline repair rates are calculated across various scaling factors and apparent wave velocities, yielding 1116 datasets pertinent to CI pipeline damage. The repair rate is adopted as the engineering demand parameter (EDP) to evaluate the efficiency, sufficiency, and proficiency of candidate IMs. Through comprehensive analysis, peak ground velocity (PGV) and the combination of PGV and the time interval between 5% and 75% of normalized Arias intensity ([PGV, Ds_5–75]) are determined as the optimal scalar- and vector-IMs, respectively, for assessing the repair rate of buried CI pipelines under pulse-like ground motions. Full article

Product disassembly, critical in remanufacturing, often involves removing screws and bolts, which can be challenging due to degradation, such as rust or thread damage. Here, we develop a digital twin integrated with a Model Predictive Controller to optimise robotic screw unfastening. Using real-time force and torque data from a robot unscrewing an electric vehicle battery pack, the controller predicts and adjusts screwdriver position and spindle speed to minimise applied torque and force. Experimental results demonstrate that this approach improves unscrewing success rates and reduces torque variability compared to manual methods. These findings suggest that combining digital twin technology with MPC can enhance the efficiency and reliability of robotic disassembly processes, supporting sustainable remanufacturing efforts. Full article

Chagas disease (CD), caused by Trypanosoma cruzi, is a neglected tropical illness affecting 6–8 million people in Latin America. Reaching scholarly consensus on the host response to T. cruzi infection remains a significant challenge, primarily due to substantial heterogeneity in outcomes driven by both the choice of animal model and the infecting parasite’s discrete typing unit (DTU). This variability complicates the evaluation and comparison of new therapeutic compounds against existing drugs, namely benznidazole and nifurtimox. This study provides a comprehensive, kinetic, multifaceted characterization of the acute infection using the highly virulent T. cruzi Y strain (TcII) in outbred Swiss mice. Here, crucial infection parameters are presented, including the optimal infective dose, the parasitemia dynamics, tissue damage markers, hematological profiles, cytokine production (Th1/Th2/Th17/Th22), and molecular parasite identification in target organs (heart, colon, esophagus, spleen, and liver) across the span of the infection. The novelty of this study lies in the kinetic integration of these parameters within a defined model; rather than presenting isolated data points, we demonstrate how the biochemical, physiological, and clinical signs and immunological responses, with the resulting organ involvement, evolve and interact over time. To complete the report, a necropsy evaluation was performed at the end of the acute, fatal infection, and it is presented here. This study fulfills a long-standing recommendation from diverse drug discovery groups for the creation of a definitive reference model to standardize preclinical testing for anti-Chagasic agents. Full article

Background: Burns represent a public health problem because they generate both physical and psychological damage, especially in the child and adolescent population, and high costs, especially due to the management of scars. Advances in burn care have improved survival and quality of life for this population. New clinical trials have been conducted on the benefits of negative pressure wound therapy (NPWT), showing that it improves the healing of burns and the appearance of scars. Therefore, this study aims to analyze the efficacy of NPWT both alone and as an adjunct to conventional dressings in pediatric and adolescent patients compared with conventional treatments. Methodology: A systematic search was carried out between December 2023 and the last quarter of 2025 in databases such as PubMed, Scopus, CINAHL, and the Cochrane Library. This meta-analysis was performed following the PRISMA statement (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) and was registered in PROSPERO with registration number CRD42024597293. The risk of bias 2 (RoB2) tool was used to assess the risk of bias in the studies. Quantitative meta-analyses using random-model effects were performed only for variables with sufficient comparable data among studies. For other outcomes, where meta-analysis was not feasible due to lack of comparable data or control groups, results were synthesized qualitatively. Results: A total of seven articles (three clinical trials and four retrospective studies), in which a total of 323 subjects participated, were included. The main results demonstrate the efficacy of NPWT, as it decreases the re-epithelialization time, improves the appearance of scars (MD = −1.25 (95% CI between −1.80 and −0.70)), reduces the probability of skin grafts (OR = 0.17 (95% CI between 0.06 and 0.46)), and therefore, as there is less need for surgery and fewer dressing changes, reduces costs. Conclusions: NPWT offers significant clinical benefits in the treatment of burns in children and adolescents. Although a meta-analysis could not be performed due to the lack of a control group in some studies, studies with larger samples and multicenter designs will be necessary to better assess the relevant clinical outcomes. However, the results of this study show that NPWT is effective in treating burns in children and adolescents and that its use in clinical practice may represent a promising adjunctive therapy. Full article

Axial spondyloarthritis (axSpA) is a chronic inflammatory disorder causing structural spinal damage and pathological thoracic kyphosis. Accurate quantification of spinal curvature is crucial for monitoring disease progression and guiding treatment. Conventional Cobb angle measurement on radiographs or DEXA images is widely used but is time-consuming and prone to inter-observer variability. This study evaluates an automated deep learning-based approach using a You Only Look Once (YOLO) model for vertebral detection on lateral morphometric DEXA scans and estimation of thoracic kyphosis angles. A dataset of 512 annotated DEXA images, including 182 from axSpA patients, was used to train and test the model. Kyphosis angles were computed by fitting a circle through detected vertebral centroids (Th4–Th12) and calculating the corresponding curvature angle. Model-predicted angles demonstrated strong agreement with physician-measured Cobb angles (r = 0.92, p < 0.001), low mean squared error (4.2°) and high sensitivity and specificity for detecting clinically significant kyphosis. Automated lateral DEXA morphometry provides a rapid, reproducible and clinically interpretable method for assessing thoracic kyphosis and bone density in axSpA, representing a practical tool for integrated structural and metabolic evaluation. Full article

Background: This study presents the sequencing and analysis of mitochondrial DNA (mtDNA) genomes from nine early medieval horse remains excavated across archaeological sites in Silesia region in present day Poland. Methods: Using aDNA extraction protocols optimized for short fragments, combined with target enrichment and high-throughput sequencing, we reconstructed partial mtDNA sequences for seven of the specimens. Results: The authenticity of the aDNA was confirmed through damage pattern analysis. Phylogenetic reconstruction revealed that the specimens belonged to six distinct mtDNA lineages (B, D, E, G, L, and M), indicating a high level of mitochondrial diversity within medieval Silesian horse population. Conclusions: These findings highlight the extensive mtDNA variability among domestic horses, reflecting the diversity of their ancestral populations rather than modern breed differentiation. This research enhances our understanding of horse population structure in medieval Europe, emphasizing the genetic complexity present during this period. Full article

Carposina sasakii Matsumura is a significant lepidopteran pest in the Carposinidae family, inflicting substantial damage on stone and pome fruit trees such as jujube, peach, and apple. Using MaxEnt, we assessed the worldwide climatic suitability for C. sasakii and its key environmental drivers, evaluating how climate change impacts dispersal risks. Integrating global occurrence records with 37 environmental variables, the model (AUC = 0.982) quantitatively identifies July precipitation (prec7), minimum average temperatures in April and August (tmin4 and tmin8, respectively), and maximum average temperature in May (tmax5) as critical distribution determinants. Among these, prec7 exhibits the highest contribution (threshold approximately 370 mm). The current suitable habitat spans 10.39 × 10² km², concentrated predominantly in East Asia’s temperate monsoon zone (eastern China, the Korean Peninsula, and Japan) and southern North America. Under future climate scenarios, the high-emission pathway (SSP585) will reduce highly suitable areas, while moderately suitable zones expand coastward. In contrast, SSP370 projects a significant, albeit phased, habitat increase with a 19.61% growth rate. Precipitation regimes and extreme temperatures jointly regulate niche differentiation in C. sasakii, whose range shifts toward Southeast Asia and suboptimal regions in Europe and America, underscoring cascading climate change effects. These findings provide a scientific basis for transnational monitoring, early warning systems, and regional ecological governance. Full article

Background/Objectives: Inter-individual variability in injury severity represents a major barrier to reproducibility in neonatal hypoxia–ischemia (HI) models. Objective early postoperative stratification of animals is therefore essential for standardized group allocation and reliable assessment of experimental outcomes. This study aimed to evaluate whether laser speckle contrast imaging (LSCI) can be used as a rapid, noninvasive tool for early post hoc stratification of ischemic brain damage severity in neonatal mice following HI. Methods: Neonatal CD-1 mice (postnatal day 9; n = 60) underwent hypoxia–ischemia using a modified Rice–Vannucci protocol. Cerebral perfusion was assessed by laser speckle contrast imaging at baseline, 3 h, and 7 days after HI. The difference in mean perfusion between ipsilateral and contralateral hemispheres at 3 h (Δ perfusion) was used to stratify animals into severity groups. Brain injury was quantified by 2,3,5-triphenyltetrazolium chloride (TTC) staining at 24 h and 7 days. Survival was monitored for 7 days and analyzed using Kaplan–Meier curves and the log-rank (Mantel–Cox) test. Results: LSCI-derived Δ perfusion at 3 h enabled the formation of distinct injury-severity groups (no visible damage, mild, moderate, and severe) with significant between-group differences (p < 0.0001). TTC-based lesion area increased stepwise across severity groups, and Δ perfusion correlated with lesion size when all animals were analyzed together (r = 0.688, p = 0.0011). No significant correlations were observed within individual severity groups, indicating that the overall association was driven primarily by between-group differences. Survival analysis revealed 75% mortality in the severe injury group (p < 0.0001). Conclusions: LSCI represents a robust and practical approach for early, objective, group-level stratification of neonatal mice by HI injury severity, thereby improving reproducibility and statistical validity in preclinical studies. However, its ability to predict outcomes within individual severity categories is limited, and repeated long-term measurements may pose technical challenges. Full article