Evaluation of graft stiffness and material nonlinearity on knee biomechanics after ACL reconstruction using a dynamic finite element musculoskeletal model.

The present study intended to characterize the profile of serum immune mediators in healthcare professionals at the pandemic onset, aiming to identify baseline immunological patterns associated with prospective COVID-19 diagnosis. A total of 386 participants with negative COVID-19 diagnosis were enrolled in a 19-month follow-up observational study. Quantitative analysis of immune mediators (chemokines, pro-inflammatory & regulatory cytokines and growth factors) was carried out by high-throughput multiplex array. All participants were SARS-CoV-2-negative at baseline, and immune mediators were measured prior to any documented COVID-19 diagnosis. Participants were categorized according to prospective diagnosis of COVID-19 [COVID-19 (-) and COVID-19 (+)], time elapsed prior COVID-19 (+) diagnosis, disease outcome and age ranges. Data demonstrated that participants with prospective COVID-19 (+) diagnosis presented higher levels of immune mediators as compared to COVID-19 (-). The higher the baseline levels of immune mediators, the shorter the elapsed time prior COVID-19 (+) diagnosis. GM-CSF, IL-5, VEGF, IL-13, CCL11 and IL-10 presented higher increment magnitude in COVID-19 (+) over the COVID (-) counterpart. Signatures profiles further confirmed these findings. Symptomatic or severe disease outcomes, as well as persistent symptom duration were associated with distinct profiles of immune mediators. Networks with higher correlation numbers were observed in COVID-19 (+), particularly in short-time prior prospective diagnosis, symptomatic mild disease and with short symptom duration. Multivariate and decision tree analysis demonstrated that GM-CSF, CCL11, CXCL10 and TNF-α effectively distinguished COVID-19 (+) individuals and pointed out that G-CSF was consistently associated with severe disease and prolonged symptom duration. These findings demonstrate that baseline serum immune mediator profiles are associated with prospective COVID-19 diagnosis and clinical outcomes, as identified through non-linear modeling.

Melamine foam/Ni-Al LDH composite xerogel for dye adsorption: Structural effects, mechanistic insights, and nonlinear kinetic-isotherm modeling

The relationship between patient activation measure and use of complementary and alternative medicine in oncology patients.

An explicitly decoupled variational multiscale method for a nonlinear fluid-fluid interaction model

Quantitative evaluation of behavioral and physiological adaptation during retraining of retired Thoroughbred racehorses.

High-Temperature Superconducting (HTS) coils have gained increasing attention in various applications, such as magnetic energy storage systems, fusion reactors, and high field magnets, due to their superior current-carrying capability and reduced power loss. One of the challenges in the design of these coils is the distribution of current between the individual turns, particularly for non-insulated or metal-insulated HTS coils. This work presents an analytical solution for determining the current distribution between the turns of a 2-turn non-insulated HTS coil. The proposed model enables the assessment of the local currents in steady state conditions. The solution is validated through numerical simulations performed with a non-linear electric circuit model. The results show the impact on current distribution of the main coil parameters, such as the coil radius, the turn-to-turn contact conductance and the resistance of joints or defects between turns.

Bayesian system identification and damage estimation using nonlinear shear-flexural model and stochastic filtering

Energy-theory-based nonlinear fatigue damage accumulation model for metallic materials under variable amplitude loads: incorporating loading sequence and load interaction effects

A nonlinear fatigue damage accumulation model for block loading conditions considering the load interaction history

Occupational fatal injuries and extreme Temperatures: A case-crossover study in Italy.

Electrothermal generalized nonlinear modeling and parameter identification of NMC lithium-ion batteries for electric vehicle applications under dynamic drive cycles

Leaf nitrogen content estimation in olive orchards based on analysis and modelling of UAV-acquired hyperspectral data

Gene bridge metabolite-disease association prediction based on GCN-DeepSeekMoE contrastive learning and its applications in oral diseases.

PM2.5 and ovarian reserve: Evidence from a multicenter study of healthy reproductive-aged women across China.

Intensifying extreme climatic events drive the normalization of cyanobacterial blooms in a large shallow eutrophic lake.

Estimation and performance evaluation of Speed-to-MET conversion methods using the 6-Minute Walk Distance.

Projection of heat-related occupational injuries under climate change and demographic scenarios in Italian cities.

Investigating the impact of ALI on erectile dysfunction in American men: a cross-sectional study using NHANES data.

Identifying critical windows and sex-specific effects of periconceptional exposure to fine particulate matter and temperature on fetal growth trajectories: A longitudinal birth cohort study.