During a cardiac cycle, the filling and emptying of the left ventricle (LV) are associated with characteristic patterns of blood flow motion. Diastolic filling shows an initial rapidly flowing transmitral jet, which decelerates and is subsequently redirected towards the LV outflow track. During this process of flow redirection, the formation of vortices store part of the kinetic energy of the i...

The formation of vortex rings during the left ventricle (LV) filling is an optimized mechanism for blood transport, and vorticity important measure a healthy heart LV. There relationship between abnormal diastolic structure impaired LV, hence identification vital understanding underlying physical flow. However, due to lack quantitative methods, defining, computing mapping ventricular vortices h...

Monitoring spatio-temporal changes of aerosols is necessary to better understand atmospheric processes. Here, the vertical distribution and how it has changed from 2006 2017 studied using time series data Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) instrument on board Infrared Pathfinder Satellite Observation (CALIPSO) satellite. Aerosol centroid altitude, a variable representing ...

Today, the vast majority of design tasks are based on simulation tools. However, success depends accurate identification constitutive parameters materials, i.e., its calibration. The classical parameter strategy, which relies homogeneous tests, does not provide and robust results required by automotive aerospace industry. Recently, numerical inverse methods, such as Finite Element Model Updatin...

The purpose of the study was to evaluate the relationship between serum adiponectin and leptin concentrations and body composition, hematological indices and lipid profile parameters in adults. The study involved 95 volunteers (BMI from 23.3 to 53 kg/m²). Anthropometric parameters were measured: body weight and height, waist and hip circumference, waist-to-hip ratio, body fat mass (BMF), subcut...

Recent works have presented promising results from the application of machine learning (ML) to modeling flow rates in oil and gas wells. Encouraging advantageous properties ML models, such as computationally cheap evaluation ease calibration new data, sparked optimism for development data-driven virtual meters (VFMs). Data-driven VFMs are developed small data regime, where it is important quest...

Artificial Neural Networks (ANNs) have the potential to provide a different approach constitutive modelling, with main advantage that these do not require postulate mathematical formulation or identify empirical parameters. Currently, training of an ANN for implicit modelling mostly relies on paired data, usually stress-strain however, stress cannot be directly measured in real experiment. As s...

Abstract Person-centred care (PCC) is an increasing international priority and a shift in health systems orientation development. Innovative models are required across Europe to prototype healthcare based on promotion PCC improve quality costs containment. Regardless of the type intervention, investments will be required, it essential demonstrate value created, comparing consequences associated...

Part I and part II of the paper in the same series, Review Microwave Processing of Materials: Part I and Review Microwave Processing of Materials: Part II, described the fixed frequency microwave processing of materials and variable frequency processing of materials respectively. This paper, Review Microwave Processing of Materials: Part III, details the simulation of fixed and variable frequen...