Due to insufficient training data and the high computational cost train a deep neural network from scratch, transfer learning has been extensively used in many deep-neural-network-based applications. A commonly approach involves taking part of pre-trained model, adding few layers at end, re-training new with small dataset. This approach, while efficient widely used, imposes security vulnerability because model is usually publicly available, including potential attackers. In this paper, we...

Abstract An environmentally friendly and highly efficient electrochemical method has been developed for halogenation of 2 H ‐indazoles with cheap commercially available NaX (X=Cl, Br) in the absence metal catalysts oxidants. Notably, this process exhibits a broad substrate scope high functional‐group compatibility. A variety are compatible transformation to give corresponding products modern excellent yields. Also, practical protocol avoids using external expensive supporting electrolytes....

Point-of-care testing (POCT), as an emerging diagnostic technology, is gradually becoming important part of the clinical field due to its advantages, such ease operation, rapid response, and portability. This paper primarily introduces two mainstream technologies in POCT: lateral flow assays nucleic acid amplification. It covers basic principles, applications, quality control points design development technologies, aiming provide a technical reference for device manufacturers, researchers,...

Abstract A strategy for synthesis of azo‐derived compounds by electrochemical oxidative ring‐opening reactions 2 H ‐indazoles with alcohols is reported. The are carried out under galvanostatic electrolysis conditions in an undivided cell without the use transition metal catalysts. On basis cyclic voltammetry and control experiments, a plausible mechanism this reaction involving radical pathway proposed. Furthermore, various suitable system, giving desired ortho‐alkoxycarbonylated azobenzenes...

Abstract Fluorescent stapled peptides are important chemical tools for detecting intracellular distribution, protein–protein interactions, and localization of target proteins. These usually labeled with bulky sized fluorophores through reactive functional groups, which may alter the physical properties biological activities peptides. Herein, a unique strategy is developed synthesizing new built‐in fluorescence. The were prepared Rh‐catalyzed C(sp 2 )−H olefination in tryptophan (Trp)...

This work proposes an estimation method of ARX (autoregressive with external input) models errors-in-variables (EIV) systems. In model estimation, the input noise variance needs to be estimated in order obtain a consistent estimate. this method, error criterion is proposed and obtained by minimizing loss function. The global minimum can because optimization procedure one-parameter problem. Consistency parameter proved. Simulations are used illustrate its performance.

The Cooray-Rubinstein formula is most widely used to evaluate the horizontal electric field generated by a lightning return stroke over lossy ground. In this paper, new method for fast evaluation of in time domain proposed, means approximating integral form modified Bessel function first kind using Gauss numerical integral. proposed method, expressed summation exponential functions, and recursive convolution achieved, which makes calculation much more efficient. Besides, residues poles due...

In order to improve the SNR of seismic data, multicoverage technique is developed and it a common practice stack all trace information CRP as zero-incident data. this process, although greatly enhanced, yet resolution inevitably lost since AVO effects are smeared. Moreover, traditional post-stack data not true pure P-wave By contrast, pre-stack inversion can obtain much higher than method removes S-wave information. The study in paper finds that feasible reliable evaluations on reservoir...

Density plays an important role in predicting the saturation of oil and gas. At present, however, density inversion is intensely suffering from instability due to limited offset, which makes it difficult for practical applications. Through model tests, we find a feasible way obtain accurate parameters using large offset data even with low SNR. In this paper, introduce efficient denoising strategy then present noise-resistant (NRDI) method, shows remarkable stability resisting noise. Even...

Summary This work studies the identification of errors‐in‐variables (EIV) systems. An asymptotic method (ASYM) is developed for EIV system. Firstly, an auto regressive with exogeneous (ARX) model estimation proposed, which consistent Then variance expression estimated high‐order ARX derived, forms basis ASYM method. In parameter estimation, starts a followed by frequency domain weighted reduction. The obtained consistent, and its efficiency needs to be investigated. Besides criterion order...

The joint parameter and time-delay estimation problems for a class of nonlinear multirate system with uncertain output delays are addressed in this paper. practical process typically has properties the data often multirate, sampled inevitably corrupted by delays. linear varying (LPV) finite impulse response (FIR) model is initially built to describe considered system. over-parameterization existence both continuous parameters discrete time-delays have made conventional maximum likelihood...

The Cooray–Rubinstein formula has been widely used for evaluating the horizontal component of electric field generated by a lightning return stroke over lossy ground. An accurate and efficient time domain method is presented in this study, means piecewise recursive convolution. convolution achieved expressing kernel function ground surface impedance exponential function, which integral form modified Bessel first kind evaluated using trapezoidal numerical integration. Since time‐domain...

A complete modeling of two-stage photovoltaic (PV) system operating under large grid disturbances is developed in this study. The grid-integrated PV are expected to operate through low voltage and provide reinforcement by delivering the reactive current during dips, as per most standards. Proper references generation appropriate controllers design basis for effective realization ride-through (LVRT) capability. Accordingly, a LVRT strategy based on Chinese code enhance power quality...

With the rapid development of aviation technology, avionics electric system has gradually become an indispensable part system.Avionics is composed many separate sub-systems.The amount data needed to be transmitted between subsystems growing, and performance security requirements Avionics transmission bus are also increasing.The traditional standards ARINC429,ARINC629 IL-std-1553B cannot meet modern because small bandwidth, slow speed high price.In this case, AFDX (Avionics Full Duplex...

This work studies the identification of errors-in-variables (EIV) systems. An asymptotic method (ASYM) is developed for EIV system. The ASYM to start with a high order model estimation and then perform frequency domain weighted reduction. Firstly when applying ARX (autoregressive external input) procedure, consistent systems applied. variance expression estimated derivated which forms basis ASYM. Simulations are used illustrate performance

Biodegradable heart occluder uses a biodegradable medical polymer material to replace or completely the metal material. After completing repair function of defect, device is gradually degraded and safely absorbed by human tissue. So it may minimize risk long-term complications that traditional causing in body after implantation. Based on quality management concept entire lifecycle device, this article briefly introduces design development, as well product realization occluder. It analyzes...

The storage capacity, speed and the dimension of device is restricted in impact test environment. In order to meet high data transmission, logging reliability requirements high-g environment measurement, paper presents design a miniature high-performance memory module.The module using high-speed serial transceiver as input interface, through FPGA achieve real-time processing store into large capacity chip. circuit merely 33mm×33mm but rate can be up 60Mbyte/s, 8Gbyte. Ensuring continuous...

Acoustic Emission (AE) is commonly utilized in equipment condition monitoring. However, traditional Kalman filtering for noise reduction of AE signals suffers from uncertain system mathematical models and unknown statistical characteristics measurement noise, leading to errors that cause reduced accuracy or even divergence, it cannot achieve adaptive resulting poor effects. To address this issue, paper proposes a Reinforcement Learning Adaptive Filter (AR-QLKF) algorithm signal's...