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Oral colonization of antimicrobial-resistant bacteria in home health care participants and their association with oral and systemic status
Multiple objectives escaping bird search optimization and its application in stock market prediction based on transformer model
Carotid revascularization improves cognition in patients with carotid stenosis
Examination of factors associated with physical activity among medical students pre and post-COVID-19 in Serbia
Towards a reduced order model of the periodontal ligament
Abstract Based on previous in vitro experiments with specimens of porcine mandibular premolars, the simulation of the periodontal ligament response to force in the initial phase of orthodontic tooth movement is described. The initial response of the periodontal ligament can be simulated with a poro-visco-hyperelastic model. For the ground substance a hyperelastic constitutive model for compressible material was used. To facilitate parameter identification a reduced order model and an optimal interpolation metamodel were used. Parameters for the constitutive model identified herein are in good agreement with published values. They indicate a high initial compressibility of the periodontal ligament, which may be attributed to the compressibility of the vascular system within the periodontal ligament. Dimensionless analysis suggests that poroelastic behaviour will gradually cease when viscoelastic relaxation progresses. This was observed as well in the simulation and confirmed by varying the poroelastic model parameters within physically justified limits. Alveolar bone permeability has a significant influence on the flow of pore fluid in the periodontium due to poroelasticity. It is argued that in vivo alveolar bone perforation may adapt locally to optimise for the predominant load situation. A strain rate hardening effect was observed, which is not covered by the simulation, and may be the subject of further investigations.
A recursive embedding and clustering technique for unraveling asymptomatic kidney disease using laboratory data and machine learning
Non-fasting and fasting serum triglyceride concentrations and new-onset hyperuricemia in the general Japanese population: ISSA-CKD study
Stacked encoding and AutoML-based identification of lead–zinc small open pit active mines around Rampura Agucha in Rajasthan state, India
Frequency stability improvement in EV-integrated power systems using optimized fuzzy-sliding mode control and real-time validation
Development of an adaptive meshing upper bound limit analysis method for large deformation axisymmetric geotechnical problems
A hybrid optimization-enhanced 1D-ResCNN framework for epileptic spike detection in scalp EEG signals
Decoding the heterogeneous subpopulations of glioblastoma for prognostic stratification and uncovering the promalignant role of PSMC2
Dense convolution-based attention network for Alzheimer’s disease classification
Surrogate sensitivity analysis of facet optical coatings produced without and with in situ design reoptimization
Abstract Optoelectronic and photonic waveguide-based devices often require the control of the exit/entrance facet reflectance to a high degree of precision on a relatively large wavelength range. Fabricating facet optical coatings for that purpose can be challenging due to thickness errors. In this work, a surrogate approach, the polynomial chaos expansion method, is used to evaluate the robustness of optical coating designs to experimental errors, and the Sobol’ sensitivity indices of their individual layers. The effect of a fabrication strategy involving successive in-situ design re-optimizations after completion of each individual layer deposition is simulated and shown to reduce significantly the detrimental effect of thickness errors on the yield and performance of coatings.
Association between cardiovascular health and overactive bladder
Investigation of methicillin, beta lactam, carbapenem, and multidrug resistant bacteria from blood cultures of septicemia suspected patients in Northwest Ethiopia
Multi-label software requirement smells classification using deep learning
Long term management of intracranial epidermoids balancing extent of resection and functional preservation in a 20 year institutional experience
Abstract Epidermoid lesions account for 1% of intracranial neoplasms. Surgical management is challenging due to their adhesion to critical neurovascular structures and tendency for recurrence. The current study examines surgical outcomes, extent of resection, and recurrence rates during long-term follow-up. A retrospective analysis was conducted on patients treated for epidermoid lesions between 2000 and 2021, focusing on clinical and radiological outcome and long-term symptom development. Among 55 patients (56.4% male), the majority harbored lesions in the cerebellopontine angle (75.3%). The mean age at surgery was 41.3 years, with an average follow-up of 82 months. Total removal was achieved in 61% of cases, with 75% of them remaining recurrence-free. In comparison, 35% of near-total removal and 25% of subtotal removal remained recurrence-free. Immediate symptom improvement was similar after total and non-total removal (12.6% vs. 10.5%), but long-term improvement was higher after total removal (43% vs. 27%). Transient cranial nerve deficits occurred in 25% of total and in 32% of non-total removal cases, with similar rates of minor complications. Total removal provided better long-term symptom control and lower recurrence rates without significantly increasing neurological deficits, supporting it as the preferred surgical strategy while maintaining functional preservation.
Clinical observation of esculin and digitalisglycosides eye drops with 0.3% sodium hyaluronate eye drops for dry eye disease: a randomized controlled trial
Role of rich phenolics and betanin profiles from Opuntia ficus-indica fruits in the prevention of diabetic complications using metabolomics study
Abstract Opuntia ficus-indica red fruit (OFI-RF) is a member of the Cactaceae family and native to South America. Phytochemical evaluation of the plant has revealed variable bioactive components; therefore, this study explored the medicinal value of butanol (BE) and ethylacetate extracts (EE) by evaluating their antidiabetic, antioxidant and antihypercholesterolemic properties. Selected solvents were used for phytochemical extraction according to established protocols, and then pharmacological effects of phenolic and betanin-rich extracts were evaluated. Results indicated that butanol was the most effective solvent for extracting polyphenolics followed by ethyl acetate, yielding: 148.91 ± 0.95 and 110.96 ± 0.61 μg/g, respectively. Identification analysis of OFI-RF using UPLC/HESI-MS/MS revealed a diverse range of 101 metabolites, including polyphenolics (phenolic acids, phenolic glycosides, flavanols, flavanonols, flavonoids and biflavonoids), alkaloids, pyridine, betalains, coumarins, vitamins, fatty acids and other therapeutic compounds. Biological studies (in vitro and in vivo) demonstrated that both EE and BE exhibited significant antidiabetic, antioxidant and antihypercholestremic activities. These findings were further supported via histopathological examination.