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Facilitating diagnosis and therapy. A common degradation in MR images is deficient contrast. This degradation affects the image with a layer of murkiness, reducing the clarity of details. Various contrast enhancement (CE...

Abstract Background Sarcopenia is a muscle disease that increases the risk of falls, fractures, and mortality. Appendicular lean mass (ALM) assessment is central to its diagnosis, but standard methods like dual-energy X-...

The main purpose of this paper is to create a palmprint recognition system (PPRS) that uses the curvelet transform and co-occurrence matrix to recognize a hand's palmprint. The suggested system is composed of several st...

Abstract The lack of data is a hindrance to the experimental determination of magnetic cores characteristics. This work presents a non-invasive and field-applicable methodology for electromagnetic devices characterizatio...

In this study, an Entropy Transformed Pareto Distribution (EnTrPD) was proposed to provide improved flexibility in modelling heavy-tailed behavior observed in data, and was subsequently applied to assess wealth inequalit...

This paper presents an advanced switching sequence based on boundary control for the Dual Active Bridge (DAB) DC-DC converter applied in a Solid-State Transformer (SST). The implementation of the switching sequence follo...

The behavior of Cu-Al-Be alloys under instrumented indentation using a Berkovich tip was studied. The pseudoelastic effect was evidenced in the transforming β Cu-Al-Be phase as a closed hysteresis loop between the unloa...

Mathematical representation is an idea interpretation form of solving mathematical problems. The process of mathematical representation is essential to pay attention to, especially in carrying out transformations between...

On-chip manipulation of the spatiotemporal characteristics of optical signals is important in the transmission and processing of information. However, the simultaneous modulation of on-chip optical pulses, both spatially...

Background: Early-stage high-grade lung invasive adenocarcinoma (IAC) has poor prognosis and is hard to identify using conventional radiological assessment. Current reliance on postoperative histology to identify high-gr...

In the busy and stressful modern world, people tend to disregard mental health, still it is an important factor of overall health. The constant pressure to achieve success, the invasive nature of technology, and the cons...

O objetivo deste experimento foi estudar a influência de efeitos ambientais sobre a forma da curva de lactação (produção no pico, tempo de pico e persistência) de cabras mestiças Alpina x Gurguéia, ajustada pela ...

Fast and accurate identification of skin lesions is important for the outcome of patients. The evaluation of lesions is subjective, and poor quality images may limit accuracy. Deep learning models can be an alternative; ...

Abstract The conversion of solar radiation into thermal energy has gained increasing attention due to the growing demand for renewable sources of heat and electricity. Nanofluids, owing to their enhanced heat transfer ca...

This paper presents the two-dimensional numerical study of mixed convection evaporation from an inclined corrugated wet plate subjected to a constant heat flux density. Assumptions were adopted and boundary conditions ar...

Abstract Objectives To develop and evaluate a deep learning model for diagnosing untreated rheumatoid arthritis (RA) using digital camera images of bilateral dorsal hands, benchmarking its performance against the widely-...

O primeiro estágio de processamento da informação do estímulo visual consiste na contagem de fótons pelas células fotorreceptoras. Nos estágios pós-receptorais a informação de intensidade absoluta do estímulo ...

In this study, the Von Bertalanffy, Richards, Gompertz, Brody, and Logistics non-linear mixed regression models were compared for their ability to estimate the growth curve in commercial laying hens. Data were obtained f...

Integration of Photovoltaic (PV) generation into oil and gas power networks has transformed fault behaviour by creating highly complex sensitivity challenges for conventional Overcurrent Relay (OCR) coordination and trip...

Abstract Background Identification of disease-associated spectral alterations of oral squamous cell carcinoma (OSCC) and oral potentially malignant disorders (OPMD) is critical to improving patient outcomes. Protein stru...

Abstract Background Fetal hypoxia is a leading cause of neonatal morbidity and mortality. Cardiotocography (CTG) is widely used to predict fetal hypoxia during labor, but its interpretation remains suboptimal. Artificial...

Abstract Immunotherapy has transformed melanoma treatment, yet only a subset of patients benefit and clinically effective biomarkers remain limited. Here, we report a comprehensive analysis evaluating CD27 as a predictiv...

The earth pressure on rigid retaining wall considering model indeterminacy is focused. Based on the force equilibrium equations for sliding mass, the functional extreme-value isoperimetric model for earth pressure in the...

With the advancement in understanding of the physics inside chaotic systems, chaos has been harnessed from a nuisance to a beneficial factor in optical devices. Light–matter interaction in chaotic systems has been util...