Information Theory is a branch of mathematics, more specifically probability theory, Bowl that studies information quantification.Recently, several researches have been successful with the use of Information Theoretic Learning (ITL) as a new technique of unsupervised learning.In these works, information measures are used as criterion of optimality

The mustard variety Felicia was used to analyze the response and compensation effects of growth and physiology under drought stress and rehydration conditions at the seedling stage.The seedlings were exposed to different levels of drought stress simulated by polyethylene glycol (PEG).The growth parameters, fresh weight, chlorophyll fluorescence, an

BackgroundWastewater-based epidemiology (WBE) surveillance as an early warning system (EWS) for monitoring community transmission of SARS-CoV-2 in low- and middle-income country (LMIC) settings, where diagnostic testing capacity is limited, needs further exploration.We explored the feasibility to conduct a WBE surveillance in Indonesia, one of the

We introduce a logic modelling some aspects of the behaviour of the measurement process, in such a way that no direct mention of quantum states is made, thus avoiding the problems associated to this rather evasive notion.We then study some properties of the models of this logic, and deduce some characteristics that any model (and hence, any 5 Piece

Inherent difficulties of tracking and observing organisms in the field often leave researchers with no choice but to conduct behavioral experiments under laboratory settings.However, results of laboratory experiments do not always translate accurately to natural conditions.A fundamental challenge in ecology is therefore to scale up from small area