This research put forward a simple and rapid fluorescence probe method based on competition strategy to detect homocysteine. The host–guest interaction behavior between cucurbit[7]uril homocysteine was further studied via UV–vis spectroscopy, Fourier transform infrared molecular modeling, 1H NMR spectroscopy in aqueous solution. Under the optimal detection conditions, intensity of cucurbit[7]ur...

ABSTRACT: In this study, adaptive neuro-fuzzy inference system, and feed forward neural network as two artificial intelligence-based models along with conventional multiple linear regression model were used to predict the multi-station modelling of dissolve oxygen concentration at the downstream of Mathura City in India. The data used are dissolved oxygen, pH, biological oxygen demand and water...

Simulation-Based Inference of Galaxies (${\rm S{\scriptsize IM}BIG}$) is a forward modeling framework for analyzing galaxy clustering using simulation-based inference. In this work, we present the ${\rm IM}BIG}$ model, which designed to match observed SDSS-III BOSS CMASS sample. The model based on high-resolution Q{\scriptsize UIJOTE}}$ $N$-body simulations and flexible halo occupation model. I...

Abstract: The legged robot can only walk very similar to human walking pattern. Therefore, many robots have been researched and developed in recent years. However, the biped robots still have many issues for the natural human walking in terms of the redundant degree of freedom, complexity of the kinematics, and stability. In this paper, we have described our biped robot modeling in the forward ...

Segmental structure is a common pattern in many types of sequences such as phrases in human languages. In this paper, we present a probabilistic model for sequences via their segmentations. The probability of a segmented sequence is calculated as the product of the probabilities of all its segments, where each segment is modeled using existing tools such as recurrent neural networks. Since the ...

This paper addresses the problems that must be considered if computers are going to treat their users as individuals with distinct personalities, goals, and so forth. It first outlines the issues, and then proposes stereotypes as a useful mechanism for building models of individual users on the basis of a small amount of information about them. In order to build user models quickly, a large amo...