Browse Articles
Discover research articles across all indexed journals
Retraction: Performance for rotor system of hybrid electromagnetic bearing and elastic foil gas bearing with dynamic characteristics analysis under deep learning
Association of helicobacter pylori infection with lipid metabolism and 10-year cardiovascular risk in diabetes mellitus: A cross-sectional study
Background Previous studies have shown that Helicobacter pylori infection is not only a risk factor for gastrointestinal diseases but also associated with various non-digestive conditions. This study aimed to investigate the effect of Helicobacter pylori infection on the risk of lipid metabolism disorders and cardiovascular disease in individuals with diabetes mellitus. Methods This cross-sectional study was conducted at a health examination center. Data from life questionnaires, laboratory tests, the carbon-13 urea breath test, and the Framingham Risk Score were collected from 266 patients with diabetes. All participants were categorized into Helicobacter pylori-uninfected and Helicobacter pylori-infected groups based on the carbon-13 urea breath test results. Differences in lipid levels, Framingham Risk Score, and cardiovascular disease risk were compared between the two groups. A logistic regression model was applied to analyze whether Helicobacter pylori infection is an independent risk factor for dyslipidemia in patients with diabetes. Results Total cholesterol and low-density lipoprotein cholesterol levels were higher in the Helicobacter pylori-infected group than in the uninfected group, and high-density lipoprotein cholesterol levels were lower in the infected group (both P < 0.05). There was no statistically significant difference in triglyceride levels between the two groups. Regression analysis showed that Helicobacter pylori infection was an independent risk factor for dyslipidemia in patients with diabetes (P < 0.05). The Framingham Risk Score and 10-year cardiovascular disease risk were higher in the Helicobacter pylori-infected group compared with the uninfected group (P < 0.001). Conclusion Helicobacter pylori infection is associated with dyslipidemia and may contribute to an increased risk of cardiovascular disease in individuals with diabetes.
Encoded Display of Chemical Libraries on Nanoparticles as a Versatile Selection Tool To Discover Protein Ligands
The association between albumin corrected calcium levels and mortality in ICU patients undergoing maintenance hemodialysis
Orogenic structure and topography track subduction singularities during slab delamination and detachment
Abstract A new model of Alpine mountain-building based on state-of-the-art seismic imaging explains how slab delamination and detachment facilitated indentation and led to along-strike changes in orogenic structure, denudation and basin dynamics. After Adria-Europe plate collision (40–32 Ma), slab steepening and delamination of the European slab changed the taper angle of the orogenic wedge in the Central Alps as the subduction singularity migrated northward. This induced rapid exhumation and denudation of the Lepontine orogenic core, accompanied by waves of clastic deposition in the overfilled western foreland basin. In the Eastern Alps, the heavier part of the slab delaminated further northward, driving prolonged subsidence and marine sedimentation in the underfilled eastern foreland basin. At ~ 20 Ma, the slab segment beneath the Eastern Alps detached, facilitating fragmentation of the indenting northern edge of the Adriatic Plate. This offset the collisional edifice while reorganizing subduction singularities and bifurcating drainage divides. Slab detachment triggered rapid uplift and terrigenous filling of the eastern foreland basin, together with orogen-parallel extrusion of the rapidly exhuming Tauern orogenic core toward the Pannonian Basin. There followed a dramatic shift in thrust-activity and -vergence from northward to southward. Similar lateral variations are documented for other orogens experiencing slab delamination and detachment.
Alamandine enhanced spatial memory in rats by reducing neuroinflammation and altering BDNF levels in the hippocampus and prefrontal cortex
Discovering Key Activation Hotspots in the M<sub>2</sub> Muscarinic Receptor
Efficacy of furanone in reducing the bacterial contamination and marginal bone loss of dental implants
Predicting diabetic kidney disease with serum metabolomics and gut microbiota
Analysis of machining performance in turning with trihybrid nanofluids and minimum quantity lubrication
Abstract Mono-type and dihybrid nanoparticle-enriched cutting fluids in machining processes are gaining popularity because of their outstanding benefits such as enhanced tool life and surface finish. In this work, a trihybrid nanocutting fluid was developed by mixing MWCNT Al2O3 graphene nanoparticles with different weight concentrations. The prepared tri-hybrid nanofluids were tested during the machining of SS304 steel. Coated tungsten carbide and PVD TiAlN carbide tools are used for the machining. Analysis of variance (ANOVA) and response surface methodology (RSM) were used to analysed the obtained data. ANOVA revealed that the interaction of cutting speed and feed had shown a good impact on surface roughness. The combinations of minimum quantity lubrication (MQL) and tri-hybrid nanofluid characteristics increase surface quality by 16% and the cutting temperature by 76%, respectively, which offers future applications in the machining industry. The correlations are verified using a conformance test and have acceptable variances of 3.11% and 1.13% with the ANN approach regression analysis.
Antibacterial property of hydroxyapatite extracted from biological sources and doped with Cu2+ and Ag+ by Sol-gels method
Abstract Hydroxyapatite is used in dental materials such as fillings, veneers, and implants due to its biocompatibility and similarity to the natural tooth structure. Goat teeth contain a high amount of hydroxyapatite, the primary mineral component of tooth enamel. Hydroxyapatite in goat tooth enamel ranges from 70 to 90%, sheep teeth from 75 to 85%, and cow teeth from 60 to 75% by weight. Sheep and Cow teeth have slightly lower hydroxyapatite content compared to goats, which is due to slight differences in their species. Hydroxyapatite can be modified or combined with other compounds (metals) to become a compound with high antibacterial properties, which have various applications in dentistry and medicine. This study aims to extract HA particles from the teeth of domestic animals (goats, sheep, and cows), especially goats (higher hydroxyapatite) in a shorter period, purer and with a simpler and more economical method and without adding chemical compounds containing Phosphate was compared to other methods and HA extracted from goat teeth ash was doped with copper and silver metal ions (HA-Doped Cu2+-Ag+) and showed high antibacterial properties. The ideal temperature for calcining HA is 1150 °C for 2 h. The physical properties of extracted HA and HA-Doped Cu2+-Ag+ were investigated using X-ray diffraction and Fourier transform infrared spectroscopy (FT-IR). It was observed in SEM that the distribution of diameter and size is different depending on the molar ratio of Cu2+ and Ag+. According to the XRD report, copper metals entered the network and silver metal was placed around the hydroxyapatite. Antibacterial activity was effective using agar and tube diffusion methods. Minimum inhibitory concentration (MIC) and minimum antibacterial concentration (MBC) were determined. HA doped with copper and silver is an effective antibacterial agent. It proves to be the most effective antibacterial agent in biomedical applications and is compatible with all bacterial strains.
Eliminating nanometer-scale asperities on metallic thin films through plasma modification processes studied by molecular dynamics and AFM
Anatomy guided modality fusion for cancer segmentation in PET CT volumes and images
Abstract Segmentation in computed tomography (CT) provides detailed anatomical information, while positron emission tomography (PET) provide the metabolic activity of cancer. Existing segmentation models in CT and PET either rely on early fusion, which struggles to effectively capture independent features from each modality, or late fusion, which is computationally expensive and fails to leverage the complementary nature of the two modalities. This research addresses the gap by proposing an intermediate fusion approach that optimally balances the strengths of both modalities. Our method leverages anatomical features to guide the fusion process while preserving spatial representation quality. We achieve this through the separate encoding of anatomical and metabolic features followed by an attentive fusion decoder. Unlike traditional fixed normalization techniques, we introduce novel “zero layers” with learnable normalization. The proposed intermediate fusion reduces the number of filters, resulting in a lightweight model. Our approach demonstrates superior performance, achieving a dice score of 0.8184 and an $$\hbox {HD}^{95}$$ score of 2.31. The implications of this study include more precise tumor delineation, leading to enhanced cancer diagnosis and more effective treatment planning.
Numerical analysis of building damage caused by the exposure of a terrain threshold as a result of underground mining-induced subsidence
Antioxidant and antimicrobial properties of zinc oxide nanoparticles green synthesized with Bunium persicum essential oil
One-class support vector machines for detecting population drift in deployed machine learning medical diagnostics
Abstract Machine learning (ML) models are increasingly being applied to diagnose and predict disease, but face technical challenges such as population drift, where the training and real-world deployed data distributions differ. This phenomenon can degrade model performance, risking incorrect diagnoses. Current detection methods are limited: not directly measuring population drift and often requiring ground truth labels for new patient data. Here, we propose using a one-class support vector machine (OCSVM) to detect population drift. We trained a OCSVM on the Wisconsin Breast Cancer dataset and tested its ability to detect population drift on simulated data. Simulated data was offset at 0.4 standard deviations of the minimum and maximum values of the radius_mean variable, at three noise levels: 5%, 10% and 30% of the standard deviation; 10,000 records per noise level. We hypothesised that increased noise would correlate with more OCSVM-detected inliers, indicating a sensitivity to population drift. As noise increased, more inliers were detected: 5% (27 inliers), 10% (486), and 30% (851). Therefore, this approach could effectively alert to population drift, supporting safe ML diagnostics adoption. Future research should explore OCSVM monitoring on real-world data, enhance model transparency, investigate complementary statistical and ML methods, and extend applications to other data types.
Differential influence of 1,8-Cineol on distinct hypoxia-related immune alterations in human monocytes
Abstract 1,8-Cineol is a natural plant-based therapeutic agent and is commonly used to treat a broad range of acute and chronic airway inflammatory diseases. 1,8-Cineol has recently been shown to attenuate the checkpoint molecule PDL-1 in circulating monocytes in patients with chronic Otitis media (OM) and was associated with an improved clinical outcome. Hypoxia-inducible factor (HIF) is thought to play an essential role in the middle ear inflammatory process, mainly due to dysfunctions of the eustachian tube. However, the unambiguous impact of 1,8-Cineol on hypoxia-driven immune alterations of human monocytes and the related inflammatory microenvironment have not been investigated thus far. Therefore, we used the human monocytes to investigate the impact of 1,8-Cineol on the cellular hypoxia response with regards to expression levels of different adhesion molecules, chemokine receptors, and different cell stress-related proteins. Furthermore, the secretion patterns of a variety of chemokines and cytokines were evaluated. The study aimed to better understand the influence of the monoterpene 1,8-Cineol on hypoxia and normoxia-associated monocyte characteristics and related inflammatory processes, all of which are crucial for the development of various human diseases.