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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.
Dependent Infrastructure Service Disruption Mapping (DISruptionMap): A method to assess cascading service disruptions in disaster scenarios
Abstract Critical infrastructures provide essential services for our modern society. Large-scale natural hazards, such as floods or storms, can disrupt multiple critical infrastructures at once. In addition, a localized failure of one service can trigger a cascade of failures of other dependent services. This makes it challenging to anticipate and prepare adequately for direct and indirect consequences of such events. Existing methods that are spatially explicit and consider service dependencies currently lack practicality, as they require large amounts of data. To address this gap, we propose a novel method called DISruptionMap which analyzes complex disruptions to critical infrastructure services. The proposed method combines (i) spatial service models to assess direct service disruptions with (ii) a service dependency model to assess indirect (cascading) service disruptions. A fault tree-based approach is implemented, resulting in a significant decrease in the information required to set up the service dependency model. We demonstrate the effectiveness of our method in a case study examining the impact of an extreme flood on health, transport, and power services in Cologne, Germany.
Translation, cross-cultural adaptation, reliability, and validity assessment of a Turkish version of the oral and systemic health impact profile for periodontal disease (OSHIP-Perio)
Host-specific targets of Histomonas meleagridis antigens revealed by immunoprecipitation
Abstract Histomonas meleagridis, a protozoan parasite responsible for histomonosis (syn. Blackhead disease, histomoniasis), presents an increasing challenge for poultry health, particularly with the ban of licensed prophylactic and treatment options. Recent studies have explored H. meleagridis proteome, exoproteome, and surfaceome, linking molecular data to virulence and in vitro attenuation. Nevertheless, proteins involved in interactions with hosts remain largely unknown. In this study, we conducted immunoproteome analyses to identify key antigens involved in the humoral immune response of the parasite’s main hosts, turkeys and chickens. Immunogenic proteins were isolated via immunoprecipitation using sera from chickens and turkeys that were vaccinated with a single attenuated strain and challenged with virulent strains of the protozoan, respectively. Mass spectrometry identified 155 putative H. meleagridis immunogenic proteins, of which 43 were recognized by sera from both hosts. In silico antigenicity screening (VaxElan) identified 33 pan-reactive antigens, with VaxiDL further highlighting 10 as potential vaccine candidates. Comparative analysis revealed host-specific immune responses, with 16 differential immunogenic proteins in chickens (6 specific to virulent and 10 to attenuated preparations) and 19 unique proteins in turkeys, all associated with virulent strains. These results enhance our understanding of H. meleagridis immunogenic protein dynamics and host-pathogen specificities, supporting the development of improved diagnostic tools and potential protective measures against the infection.
Study of intelligent home environment system based on big data and improved k-means algorithm
RETRACTED ARTICLE: Knockdown of CCNB2 inhibits the tumorigenesis of gastric cancer by regulation of the PI3K/Akt pathway
The potential of the South African plant Tulbaghia Violacea Harv for the treatment of triple negative breast cancer
Smug1 alleviates the reproductive toxicity of 5-FU through functioning in rRNA quality control
Combinatorial ab initio calculations and core spectroscopy unravel the electronic structure of nickel cobalt manganese oxide
Abstract The rising interest in complex oxides for energy storage applications calls for the development of efficient computational schemes that enable exploring the vast configurational space of these materials to guide and complement experiments. In this work, we adopt a high-throughput screening method based on density-functional theory to investigate the electronic-structure fingerprints of a specific stoichiometry of lithiated manganese-cobalt-nickel oxide, $$\hbox {LiNi}_{0.8}\hbox {Co}_{0.1}\hbox {Mn}_{0.1}\hbox {O}_{2}$$ , which are relevant for the identification of the material in X-ray spectroscopy experiments. After creating the candidate structures in an automated fashion, we inspect their structural characteristics and electronic properties focusing specifically on the Ni and O contributions to the density of states. To do so, we exploit data analysis schemes that provide us with a metric to classify the considered structures according to the properties of interest, including the oxidation state. Comparison with X-ray absorption spectroscopy measurements confirms the robustness of the developed computational approach and reveals the most likely composition of the probed sample.