Subcortical vascular cognitive impairment (sVCI) is caused by lacunar infarcts or extensive and/or diffuse lesions in the white matter that may disrupt the white matter circuitry connecting cortical and subcortical regions ...

The human brain, especially the prefrontal cortex (PFC), is functionally and anatomically reorganized in order to adapt to neuronal challenges in aging. This study employed structural MRI, resting-state fMRI (rs-fMRI), and ...

Polygonum barbatum, known as atalari (in Tamil) or ratu kimbulwenna (in Sinhala), are perennial herbs of the family polygonaceae have been widely used anciently to treat various ailments including infections, fever, pain ...

This study deals with Physico-chemical of groundwater and surface water that are degraded by geological structure, poor sanitation, solid waste dumping and cultivation in this area have led surface and groundwater pollution ...

Changes in abundance of waterbirds reflect the habitat changes of a tank ecosystem. Ephemeral tanks in Vavuniya district are known as habitats for rich birds diversity during different periods of a year. A short-term field ...

Pesticides kill or deter the destructive activity of the target organism and they posses’ inherent toxicities that endanger the health of the farmers, consumers and the environment. The objectives of this study were to ...

Variable time-stepping algorithms for solving dynamical systems performed poorly for long time computations which pass close to a fixed point. To overcome this difficulty, several authors considered phase space error ...

Wavelength division multiplexing (WDM) divides the huge bandwidth available on a fiber into several non-overlapping wavelength channels and enables data transmission over these channels simultaneously. Failure of the optical ...

In recent past, abundant forest covers of Batticaloa district of Sri Lanka especially in the north-western region of the district have been destructed due to various reasons, which led to emergence of lesser reproductive ...

Visual tracking frameworks employing ConvolutionalNeural Networks (CNNs) have shown state-of-the-art performancedue to their hierarchical feature representation. Whileclassification and update based deep neural net tracking ...