Scanning-fluorescence Reader Based on Embedded System

To measure the concentration of C-reactive protein (CRP) in serum, a portable, scanning-fluorescence reader based on time-resolved fluoroimmunoassays was developed. The scanning-fluorescence reader integrates with the AD7707 converter, which performs at a high accuracy. The photosensitive diode acts as the photoelectric conversion device, an optical module based on optical fibers, which is able to concentrate the excitation light from an LED into a line-shape beam, was designed to sendand receive the optical signal. The device subsequently addresses waveform data using a gradient, smoothing, and binarization method. When the device measures the CRP fluorescence test strip, the results exhibited a good linearity (0.99998) and the CVs (coefficient of variation) were below 5%, which indicate high accuracy. At the same time the system is low cost and small size

Symmetry analysis and conservation laws of the time fractional Kaup-Kupershmidt equation from capillary gravity waves

The Lie symmetry analysis is employed to study the time fractional Kaup-Kupershmidt equation from capillary gravity waves. The Lie point symmetries and the similarity reduction of this equation are obtained. Then we construct the conservation laws by means of Ibragimov’s method

Double Periodic Wave Solutions of the (2 + 1)-Dimensional Sawada-Kotera Equation

Based on a general Riemann theta function and Hirota’s bilinear forms, we devise a straightforward way to explicitly construct double periodic wave solution of (2+1)-dimensional nonlinear partial differential equation. The resulting theory is applied to the (2+1)-dimensional Sawada-Kotera equation, thereby yielding its double periodic wave solutions. The relations between the periodic wave solutions and soliton solutions are rigorously established by a limiting procedure

Computational Screening of Near-Surface Alloys for CO₂ Electroreduction

Electrochemical conversion of carbon dioxide (CO₂) into chemical feedstocks provides an attractive solution to our pressing energy and environment problems. Here, we report that transition metal near-surface alloys (NSAs) are promising catalysts for CO₂ electroreduction. Based on first-principles calculations on 190 candidates, we propose a number of NSAs which show promise of highly active and selective catalysts for formic acid, carbon monoxide, methanol, and ethylene production, while simultaneously suppress competing hydrogen evolution reaction (HER). We predict that Pd/W, Au/Hf, and Au/Zr NSAs are more active than most known electrodes for formic acid formation with overpotentials significantly lower than that of HER. Ag/Hf and Ag/Zr are revealed as superior catalysts for the production of carbon monoxide with overpotentials of 0.77 V lower than that on pure Ag electrode. We find that methanol and ethylene can be produced on Ag/Ta and Ag/Nb NSAs whose overpotentials are ∼15% lower than that on Cu (211) surface. On the other hand, their overpotentials for HER are six times more negative than that on Cu (211). The work demonstrates the great potential of transition metal catalysts by modulating their near surface properties

An Ensemble Method for High-Dimensional Multilabel Data

Multilabel learning is now receiving an increasing attention from a variety of domains and many learning algorithms have been witnessed. Similarly, the multilabel learning may also suffer from the problems of high dimensionality, and little attention has been paid to this issue. In this paper, we propose a new ensemble learning algorithms for multilabel data. The main characteristic of our method is that it exploits the features with local discriminative capabilities for each label to serve the purpose of classification. Specifically, for each label, the discriminative capabilities of features on positive and negative data are estimated, and then the top features with the highest capabilities are obtained. Finally, a binary classifier for each label is constructed on the top features. Experimental results on the benchmark data sets show that the proposed method outperforms four popular and previously published multilabel learning algorithms

Breathers, Transformation Mechanisms and Their Molecular State of a (3+1)-Dimensional Generalized Yu–Toda–Sasa–Fukuyama Equation

A (3+1)-dimensional generalized Yu–Toda–Sasa–Fukuyama equation is considered systematically. N-soliton solutions are obtained using Hirota’s bilinear method. The employment of the complex conjugate condition of parameters of N-soliton solutions leads to the construction of breather solutions. Then, the lump solution is obtained with the aid of the long-wave limit method. Based on the transformation mechanism of nonlinear waves, a series of nonlinear localized waves can be transformed from breathers, which include the quasi-kink soliton, M-shaped kink soliton, oscillation M-shaped kink soliton, multi-peak kink soliton, and quasi-periodic wave by analyzing the characteristic lines. Furthermore, the molecular state of the transformed two-breather is studied using velocity resonance, which is divided into three aspects, namely the modes of non-, semi-, and full transformation. The analytical method discussed in this paper can be further applied to the investigation of other complex high-dimensional nonlinear integrable systems