Quantitative and Qualitative Production of Species and the Potential for Adaptation in the Context of Current Climate Change.

E. Meyer ex Naudin belongs to the family . It is an annual vegetable species known as horned melon or kiwano.

Complementary Methods for the Assessment of the Porosity of Laser Additive-Manufactured Titanium Alloy.

The method of making parts through additive manufacturing (AM) is becoming more and more widespread due to the possibility of the direct manufacturing of components with complex geometries. However, the technology's capacity is limited by the appearance of micro-cracks/discontinuities during the layer-by-layer thermal process. The ultrasonic (US) method is often applied to detect and estimate the location and size of discontinuities in the metallic parts obtained by AM as well as to identify local deterioration in structures.

Poly(3-hydroxybutyrate) nanocomposites modified with even and odd chain length polyhydroxyalkanoates.

Poly(3-hydroxybutyrate) (PHB) was blended with medium-chain-length PHAs (mcl-PHAs) for improving its flexibility while nanocellulose (NC) was added as a reinforcing agent. Even and odd-chain-length PHAs, having as main component poly(3-hydroxyoctanoate) (PHO) or poly(3-hydroxynonanoate) (PHN) were synthesized and served as PHB modifiers. The effects of PHO and PHN on the morphology, thermal, mechanical and biodegradation behaviors of PHB were different, especially in the presence of NC.

Insulin resistance and hepatic steatosis in type 1 diabetes mellitus and their association with diabetic chronic complications.

Background: The aim of this study was to evaluate insulin resistance and hepatic steatosis and their association with diabetes duration, control and chronic complications in patients with type 1 diabetes.

Methods: We studied medical records of 181 consecutive hospitalized adult patients with type 1 diabetes. Estimated glucose disposal rate (eGDR), Insulin Sensitivity Score (ISS), Fatty Liver Index (FLI) and Hepatic Steatosis Index (HSI) were calculated.

Improving genomics-based predictions for precision medicine through active elicitation of expert knowledge.

Motivation: Precision medicine requires the ability to predict the efficacies of different treatments for a given individual using high-dimensional genomic measurements. However, identifying predictive features remains a challenge when the sample size is small. Incorporating expert knowledge offers a promising approach to improve predictions, but collecting such knowledge is laborious if the number of candidate features is very large.