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May 04, 2023Open Access
Globally, the advent of new cases of cancer has been steadily increasing, with rising mortality and a significant impact on the economy. Most malignancy outcomes are linked to early detection, prompt diagnosis, and treatment. The need for early detection is crucial to cancer management. With these increasing numbers, there is a need for the adoption of emerging technologies such as machine learning to help improve the outcome of cancer management. For these reasons, in this paper, we reviewed th...
Aug 20, 2021Open Access
The network pharmacology and molecular docking technology were used to elucidate the mechanism of Artemisiae scopariae Herba (ASH) against liver cancer (LC). TCMSP and UniProt database were used to collect the active ingredients of ASH and predict their potential targets. The targets of LC were screened by GeneCards, OMIM and TTD database. The intersections of drug and disease targets were obtained by online software Venny 2.1, and the intersection targets were imported into R software (v3.6.3) ...
Apr 09, 2020Open Access
Synthesis of valuable flavour and fragrance compounds is one of the intense applications of lipase-catalysed transesterification. This paper demonstrated application of Novozyme 435 to the synthesis of neryl acetate in a solvent free system. Response surface methodology (RSM) complemented by central com-posite design (CCD) was used to evaluate the effect of various process param-eters on reaction conversion. The results showed that 91.6% conversion of nerol with 100% selectivity to neryl acetate...
Jun 13, 2016Open Access
The objective of this review was to critically present and evaluate recent
investigations into nanotechnology and it’s applications in reconstructive
surgery. In addition, this review aims to looks at a plethora of applications
with nanotechnology in the subject area of reconstructive surgery. The Medline
and PubMed databases were searched for clinical trial and case report
publications dealing with reconstructive
surgeries involv ...
Jun 19, 2015Open Access
It is reported in the literature that the temporal structure of gait
variability in healthy subjects exhibits deterministic processes where not only
each stride is correlated with the neighbouring strides ( i.e. short-range correlations), but at least on a statistical
basis, with tens and hundreds of preceding and following strides ( i.e. long-range correlations). Thus, an
analysis hinging on a conventional gait Poincare plot with lag one which implicitly
assumes that the current str...
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