Sensitive imaging of microRNAs (miRNAs) in living cells is significant for accurate cancer clinical diagnosis and prognosis research studies, but it challenged by inefficient intracellular delivery, instability nucleic acid probes, limited amplification efficiency. Herein, we engineered a DNAzyme-amplified cascade catalytic hairpin assembly (CHA)-based nanosystem (DCC) that overcomes these challenges improves the sensitivity. This enzyme-free based on sequential activation DNAzyme CHA. MnO2...

Background The Trachinotus ovatus (Teleostei, Carangidae) is an economically important marine fish species in the world. However, lack of genomic information regarding this limits our understanding genetics and biological mechanisms ovatus. In study, high throughput transcriptome sequencing was used to obtain comprehensive Principal Findings Transcriptome performed by using Illumina paired-end technology. 98,534,862 quality reads were yielded, de novo assembled into 156,094 unigenes with...

In sensor design, electromagnetic field numerical simulation techniques are widely used to investigate the working principles of sensors. These analyses help designers understand how sensors detect and respond external signals during operation. One popular method for computation is meshless radial point interpolation (RPIM), where number distribution nodes critical ensuring both accuracy efficiency. However, traditional RPIM methods often face challenges in achieving stable precise results,...

Lead-chloride perovskites are promising candidates for optoelectronic applications, such as visible-blind UV photodetection. It remains unclear how the deep defects in this wide-bandgap material impact carrier recombination dynamics. In work, we study defect properties of MAPbCl3 (MA = CH3NH3) based on photoluminescence (PL) measurements. Our investigations show that apart from intrinsic emission, four sub-bandgap emissions emerge, which very likely to originate radiative excitons bound...

Before a new airport runway is built, the electromagnetic compatibility of instrument landing system (ILS) must be fully taken into consideration. The requirements for airports are becoming more and complex, so rather than using traditional ray-tracing (RT) simulation models, accurate approach such as finite-difference time domain (FDTD) needed. application FDTD to ILS signal modeling suffers from an intensively high computation burden. burden owing to: 1) has loop large number steps 2)...

Energy-band gradient halide perovskites are highly desired candidates for fabricating high performance optoelectronic devices. Here, we demonstrate that a mixed perovskite single crystal undergoes phase segregation in the longitudinal direction under above-bandgap light illumination. As result, micron thick layer with vertically composition and thus graded valence band edge is generated at surface. The resultant structure can facilitate hole extraction its interface transport layer. of...

This letter presents a higher order finite-difference (FD) and Padé approximations method for the three-dimensional (3-D) parabolic equation (PE) to predict radio-wave propagation. uses fourth-order FD approximation of differential operator in transverse direction propagation direction. The (4FDHP) is then derived. Leontovich impedance boundary 4FDHP second-order (2FDHP) are also important problem angle different 3D-PE investigated. Simulated results show that proposed achieves larger...

In this letter, we propose a high-accuracy low-cost hybrid finite-difference time-domain (FDTD)/alternating-direction-implicit parabolic equation (ADI-PE) method for ultralarge-scale electromagnetic simulation on distributed computing platform. The offers fast and precise 3-D deterministic radio-wave propagation predictions in difficult-terrain scenario with specific detailed structures both near field far field. Since the typical parallel ADI-PE suffers from high-frequency data...

This paper proposes a novel WiFi-based indoor localization algorithm based on feature fusion deep neural network, which is called FF-DNN. The FF-DNN model architecture consists of two phases, off-line training and on-line localization. In phase, RSS their corresponding ranking together make up the DNN features, weights are trained using mean square error as loss function. target location will be estimated by values each access point (AP) collected. Experimental results show that, compared...

This letter presents an efficient parallel algorithm for solving locally one-dimensional (LOD) finite-difference time domain (FDTD) in cloud computing environment. As opposed to the existing LOD-FDTD parallelization scheme, proposed method solves implicit tridiagonal system by using Sherman-Morrison formula decompose matrix into smaller matrices. The nodes computers solve matrices simultaneously. Numerical results show that is more environment than conventional scheme and shows better scalability.

Cumulative research reveals that microRNAs (miRNAs) are involved in many critical biological processes including cell proliferation, differentiation and apoptosis. It is of great significance to figure out the associations between miRNAs human diseases basis for finding biomarkers diagnosis targets treatment. To overcome time-consuming labor-intensive problems faced by traditional experiments, a computational method was developed identify potential based on graph attention network (GAT) with...

This paper presents an indoor positioning method which based on wireless propagation model's estimation and hybrid weight k nearest neighbors (HWKNN). Firstly, the fingerprint data is optimized by RANSAC LASSO algorithm. Then, used to estimate position of each WiFi access point (AP) parameters model. At last, signal strength reference (RP) can be calculated model user's estimated using HWKNN method. Experimental results demonstrate that proposed provides a more accurate result compared with...

This paper presents second-order Greene two-way parabolic equation (2WPE) method to model both forward-waves and backward-waves propagation over irregular terrain. solution is implemented by finite-difference methods (FDM), which will be more effective deal with the complicated boundaries allow angles up about 55°. For boundaries, FDM able give better results than Fourier split-step method. It first time adopt 2WPE bidirectional radio propagation. The show that can provide accurate prediction for

Australia has witnessed heavy wildfires since 2019, which were especially serious in eastern Victoria. What's worse, climate change can make situations more serious. Surprisingly the unmanned drones help a lot dealing with wildfires, are divided into two types: one for surveillance and situation awareness (SSA) another extending communication range limited by circumstances. This paper aims to provide purchase deployment plans of both kinds government Victoria taking fires on mountains as...

The alternating direction implicit parabolic equation (ADI-PE) method and the Crank–Nicolson (CN-PE) have been widely used for solving 3D (3D-PE) in radio wave propagation. ADI-PE is more computationally efficient than CN-PE method. accuracy of improved by higher-order Mitchell–Fairweather (MF)-ADI This paper presents an iterative high-accuracy (IHA)-ADI equation. A derivation proposed presented. convergence stability are estimated. Several numerical examples considered to illustrate...

Background: To investigate whether intermittent parathyroid hormone (iPTH) administration would increase the risk of pathological new bone formation while treating osteoporosis related to ankylosing spondylitis (AS).Methods: Three types animal models exhibiting caused by different hypothetical pathogenesis AS were subjected iPTH treatment. The effects on systemic loss as well was determined micro-CT and histological analysis. In addition, global PTH-knockout mice constructed used effect...

Abstract SiJunZiTang (SJZT), a classic Chinese medicine formula widely used in clinic, has been proven to have therapeutic effects on HCC. However, the underlying mechanisms and molecular targets for therapy are still poorly understood. In this study, we strategy of integrated pharmacology combine network pharmacology, docking, machine learning bioinformatics reveal immune mechanism action SJZT treatment HCC overcome problem insufficient combination clinical information. We systematically...

<p>This letter presents a novel 3-D hybrid method for instrument landing system (ILS) channel modeling, which names half space multilevel fast multipole - parabolic equation (HSMLFMM-PE). The (MLFMM) is applied to simulate the source region and near obstacles. large scale obstacles, pertaining far field region, implemented by (PE) method. transition plane between MLFMM PE solved Green's function of avoid full wave simulation ground, thus computation cost can be further reduced....

<p>This letter presents a novel 3-D hybrid method for instrument landing system (ILS) channel modeling, which names half space multilevel fast multipole - parabolic equation (HSMLFMM-PE). The (MLFMM) is applied to simulate the source region and near obstacles. large scale obstacles, pertaining far field region, implemented by (PE) method. transition plane between MLFMM PE solved Green's function of avoid full wave simulation ground, thus computation cost can be further reduced....