From a general standpoint, they are based either on the physical incorporation of active agents into a suitable polymeric matrix or on the synthesis of pharmacologically ... sulphate esters and ...

In this review, the recent progress in the synthesis of helical polymers and their structural determination, including helical pitch and handedness based on X-ray diffraction and spectroscopic ...

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...

Abstract: Convolutional neural networks (CNNs) are widely used for embroidery feature synthesis from images. However, they are still unable to predict diverse stitch types, which makes it difficult ...

Department of Chemistry and Center for Streamlined Synthesis, Metcalf Center for Science and Engineering, Boston University, 590 Commonwealth Avenue, Boston Massachusetts 02215, Department of Plant ...

The general principles of evidence synthesis are that the relevant literature has to be sought and collected, omitting nothing of relevance, recognising the difficulties posed by the different types ...

Abstract: Aiming to realize series-fed antenna array with good return loss, low sidelobe level (SLL), and small gain variation over a wide bandwidth, this article presents a unified synthesis method ...

This guidance covers the review process as it relates to synthesis of qualitative research. ‘Rapid’ or ‘resource-constrained’ QES require use of templates and targeted knowledge user involvement.

In this work, we introduce MegaPairs, a novel data synthesis method that leverages open-domain images to create heterogeneous KNN triplets for universal multimodal retrieval. Our MegaPairs dataset ...

You will be redirected to our submission process. The field of sustainable chemical synthesis is increasingly pivoting towards the use of biocatalysts, particularly engineered enzymes, to meet ...

Narrative synthesis of quantitative data (NS) is a method commonly used in systematic reviews where it may not be appropriate, or possible, to meta-analyse estimates of intervention effects. A common ...