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Design, development, and preclinical evaluation of pirfenidone-loaded nanostructured lipid carriers for pulmonary delivery
PET imaging of differentiated thyroid cancer with thyrotropin-alfa
The best foods for healthy ageing ― and the worst
Adaptive non-parametric kernel density estimation for under-frequency load shedding with electric vehicles and renewable power uncertainty
Preparation and preliminary studies of porous fish collagen and chitosan materials enriched with microcapsules containing an active ingredient
Abstract This study explores the development and characterization of advanced composite materials combining fish collagen and chitosan, enhanced with chitosan-based microcapsules encapsulating an active ingredient—Calendula officinalis flower extract—hrough ionic gelation using various surfactants (Span 80, Tween 80 and Span80/Tween 80). Collagen was successfully extracted from northern pike scales and integrated with chitosan to create porous, three-dimensional matrices by the lyophilization process. Various amounts of microcapsules were incorporated into the matrices, and the structure of the obtained materials, their mechanical properties, swelling capacity, and susceptibility to degradation were assessed. Matrices with microcapsules exhibited high porosity, substantial swelling capacity, and improved mechanical properties compared to matrices without them. Microcapsules enabled the controlled release of active ingredients, demonstrating potential applications cosmetic industry. This research aligns with current trends in the cosmetics industry, such as the use of sustainable and eco-friendly materials derived from renewable resources like fish waste, the emphasis on natural and bioactive ingredients such as plant extracts, and the development of advanced delivery systems for controlled release of active compounds. The study addresses consumer demand for biodegradable and non-toxic materials, reducing environmental impact while enhancing product efficacy and safety.
Somatosensory false feedback biases emotional ratings through interoceptive embodiment
Abstract Mismatches between perceived and veridical physiological signals during false feedback (FFB) can bias emotional judgements. Paradigms using auditory FFB suggest perceived changes in heart rate (HR) increase ratings of emotional intensity irrespective of feedback type (increased or decreased HR), implicating right anterior insula as a mismatch comparator between exteroceptive and interoceptive information. However, few paradigms have examined effects of somatosensory FFB. Participants rated the emotional intensity of randomized facial expressions while they received 20 s blocks of pulsatile somatosensory stimulation at rates higher than HR, lower than HR, equivalent to HR, or no stimulation during a functional magnetic resonance neuroimaging scan. FFB exerted a bidirectional effect on reported intensity ratings of the emotional faces, increasing over the course of each 20 s stimulation block. Neuroimaging showed FFB engaging regions indicative of affective touch processing, embodiment, and reflex suppression. Contrasting higher vs. lower HR FFB revealed engagement of right insula and centres supporting socio-emotional processing. Results indicate that exposure to pulsatile somatosensory stimulation can influence emotional judgements though its progressive embodiment as a perceived interoceptive arousal state, biasing how affective salience is ascribed to external stimuli. Results are consistent with multimodal integration of priors and prediction-error signalling in shaping perceptual judgments.
Evaluating fault stability near tunnels: a numerical parametric study and a dimensionless safety approach
Distinct astrocyte activation patterns associated with neuroinflammation induced by gamma and proton beam irradiation
Poly-sialylated glycan of cervicovaginal fluid can be a potential marker of preterm birth
‘Open source’ AI isn’t truly open — here’s how researchers can reclaim the term
Improving diagnostic accuracy in atypical melanocytic tumors using p16 immunohistochemistry and 9p21 fluorescence in situ hybridization: analysis of 206 second opinion cases
Efficient face information encryption and verification scheme based on full homomorphic encryption
Correction to at least neutral alignment during high tibial osteotomy is sufficient in reducing the knee adduction moment
Evaluation of ecological consequences on the global distribution of Staphylococcus aureus Rosenbach 1884 due to climate change, using Maxent modeling
Abstract Staphylococcus aureus is a primary cause of many infections in humans, and its rising prevalence and drug resistance are serious public health concerns. While there is evidence that climate change can influence the distribution and abundance of microbial species, the precise effects on S. aureus are not well characterized. The purpose of this study is to predict the potential influence of climate change on the global distribution of Staphylococcus aureus in 2050 and 2070 using GIS and Maxent modeling. S. aureus occurrence data was acquired from global databases and coupled with bioclimatic variables to simulate current and future habitat suitability under several climate change scenarios (RCP 2.6 and 8.5). The Maxent modeling approach was used to forecast geographical patterns of S. aureus distribution, providing insights into locations that may see increased prevalence of this essential species as a result of climate change. The study’s findings can be used to inform public health measures and focused surveillance activities aimed at reducing the burden of Staphylococcus aureus infection.
Shear wave velocity structure at King Saud University, Saudi Arabia, derived from MASW and microtremor arrays
Impact of steatotic liver disease categories on atrial fibrillation in type 2 diabetes: a nationwide study
New antibiotic that kills drug-resistant bacteria discovered in technician’s garden
Trend and multivariate decomposition analysis of modern contraceptive utilization among women in Ethiopia
Results of a multicenter, randomized trial examining a new transition model for post-kidney transplant adolescents
Abstract Allograft loss after pediatric kidney transplantation (KTx) is highest in adolescents and young adults. Non-adherence and Health Care Transition (HCT) are important factors, but others also contribute. In the TransNephro study patients were randomized 1:1. The intervention group was included in the Berlin Transition Program (BTP) and incorporated a central case manager, a communication app, and joined transition rounds for one year before and one year after transfer. Primary endpoint was the coefficient of variation (CoV) of the trough level of the calcineurin inhibitor as a surrogate marker for medication adherence associated with graft loss. Least square (LS) mean differences and corresponding 95% confidence intervals (CIs) were estimated using an analysis of covariance (ANCOVA) model. We assessed 220 patients for eligibility. 49 patients were randomized to the intervention group and 53 to the control group. We analyzed 84 patients in the modified intention-to-treat analysis (38 intervention, 46 controls) and 60 in the per protocol analysis (25 intervention, 35 controls). We found no difference in CoV. We saw low numbers of graft-related events and observed no differences with respect to quality of life. BTP did not improve adherence and other outcome parameters. Non-adherent patients may have decided not to participate, whilst adherence of participants was already good at study start. It is therefore achallenge to design future multicenter trials on HCT that include multiple interventions. Trial registration: ISRCTN22988897, 24/04/2014, https://doi.org/10.1186/ISRCTN22988897 .