We present an image reconstruction method for diffuse optical tomography (DOT) by using
the sparsity regularization and expectation-maximization (EM) algorithm. Typical image …

A key problem of robotic environmental sensing and monitoring is that of active sensing:
How can a team of robots plan the most informative observation paths to minimize the …

Elevated anthropogenic acid deposition has accelerated forest soil acidification in southern
China. However, the observed responses to increased acid inputs are quite variable among …

The rheological properties of polysaccharide (SAP) from Sophora alopecuroides L. seeds
were systematically investigated by fitting different models. The steady flow testing indicated …

A water-soluble neutral polysaccharide (F25) was fractionated from crude polysaccharides
of Sophora alopecuroides L. seeds. Its physicochemical properties and structural …

Preeclampsia is a leading cause of perinatal maternal–foetal mortality and morbidity. The aim
of this study is to identify the key microRNAs and genes in preeclampsia and uncover their …

Gaussian processes (GP) are Bayesian non-parametric models that are widely used for
probabilistic regression. Unfortunately, it cannot scale well with large data nor perform real-time …

The typical conductive polymer of PEDOT:PSS has recently attracted intensive attention in
thermoelectric conversion because of its low cost and low thermal conductivity as well as high …

Development of a practical point-of-care test for urinalysis is crucial for early diagnosis and
treatment of chronic kidney disease (CKD). However, the classical gold standard detection …

Even though empirical literature is overflowing in explaining the interconnection between
natural possessions and financial sector expansion, this literature portrays the complete …