Background : Cisplatin is a cytotoxic compound that has low selectivity to cancer cells and may cause serious adverse reactions, including acute kidney injury (AKI). Oxidative stress inflammation are the main causes of cisplatin-induced AKI (CIAKI). Mangiferin polyphenolic xanthonoid possesses extraordinary antioxidant anti-inflammatory properties. The purpose this investigation was ascertain potential renal protective mechanism mangiferin in alleviating CIAKI. Methods We assayed serum...

During the past two decades, epileptic seizure detection and prediction algorithms have evolved rapidly. However, despite significant performance improvements, their hardware implementation using conventional technologies, such as Complementary Metal-Oxide-Semiconductor (CMOS), in power area-constrained settings remains a challenging task; especially when many recording channels are used. In this paper, we propose novel low-latency parallel Convolutional Neural Network (CNN) architecture...

For epileptic seizure detection and prediction, to address the computational bottleneck of von Neumann architecture, we develop an in-memory memristive crossbar-based accelerator simulator. The simulator software is composed a Python-based neural network training component MATLAB-based crossbar array component. provides baseline for developing deep learning-based signal processing tasks, as well platform investigate impact weight mapping schemes device peripheral circuitry non-idealities.

ABSTRACT Hepatocellular carcinoma (HCC) is a significant global health concern. However, there are limited effective treatments available for it. The use of natural products in the management and treatment HCC gaining more attention. Baicalein flavonoid compound that has been reported to have antitumor activities HCC. direct binding targets baicalein still unknown. Therefore, we used DNA‐programmed affinity labeling method identify target validated its function cells. We set blank...

The impact of device and circuit-level effects in mixed-signal Resistive Random Access Memory (RRAM) accelerators typically manifest as performance degradation Deep Learning (DL) algorithms, but the degree varies based on algorithmic features. These include network architecture, capacity, weight distribution, type inter-layer connections. Techniques are continuously emerging to efficiently train sparse neural networks, which may have activation sparsity, quantization, memristive noise. In...

Abstract Purpose To explore the differences between prolonged continuous Pringle maneuver (CPM) and intermittent (IPM) in patients with hepatocellular carcinoma (HCC), who underwent complex hepatectomy. Methods This retrospective cohort study performed June 2014 May 2016 included 142 hepatectomy for HCC concomitant chronic liver disease but good function. Patients were categorized into CPM ( n = 69) IPM groups 73). The these aspects compared two which include operation time, intraoperative...

A path planning method based on a two-layer coordination system is proposed for the compatibility requirement of global optimum and local in spherical multi-robot system. In first layer algorithm, quality improved by proposing nonlinear sine factor sparrow search algorithm with levy flight strategy to plan collision-free optimal each robot. second layer, rolling window used determine possible collision positions robot system, priority-based conflict resolution complete near corresponding...

COVID-19 outbreak calls for the urgent need of quick, accurate, and accessible methods detection. Convolutional neural networks applied to chest x-ray images is a promising solution; however, device configurations vary data quality across different datasets are inconsistent. This leads overfitting on particular set training data. paper aims explore mitigate overfitting.

Deep learning models have demonstrated exceptional performance in a variety of real-world applications. These successes are often attributed to strong base that can generalize novel tasks with limited supporting data while keeping prior knowledge intact. However, these impressive results based on the availability large amount high-quality data, which is lacking specialized biomedical In such fields, usually developed arrive incrementally categories. This requires model adapt new information...

A partially reflective metasurface (PRMS) structure is proposed for dual-polarized dipole antenna with a high gain and wide broadband. Stable radiation patterns are realized by using quadrilateral bottom reflector. The phase bandwidth of PRMS reflection presented in this paper matches well the operating bandwidth. dualpolarized improved to 10.2dBi at 1.8GHz adjusting size height structure. Meanwhile, expanded (61.2%). Measured result demonstrates that has stable beamwidth which desirable...

With the development of science and technology, many complex problems cannot be completed efficiently by a single robot require multiple robots to work together. For task scenarios with robots, multi-robot allocation problem is key coordinating efficiently. In this paper, for application scenario collaborative inspection allocation, first mathematically modelled using model, simulations based on resource balance search algorithm genetic population intelligence are applied respectively....

A high gain and broadband dipole antenna is designed by optimizing reflector using a Partially Reflective Meta Surface (PRMS) structure. By the distance between PRMS structure size of structure, performance has achieved Gain (9.2dBi) wide impedance bandwidth (61.2%). The we beneficial to compose array used in urban environment. Simulated result confirmed this method effective improve antenna.

A wideband dual-polarized dipole antenna with high isolation and stable radiation pattern is proposed for mobile communication IMT frequency band. The composed of a pair radiator dipoles, T-shaped probes an octagonal corner reflector. orthogonal Γ-shaped at different length which improved the impedance matching characteristic utilized to excite antenna. In order improve polarization diversity performance, antennas are required have higher cross-polarization ratio in azimuth plane. reflector...

With the development of information technology, kinds new technology have entered classroom teaching gradually. This paper analyzed defects current application blackboard, multimedia projection system in medical teaching, put forward to interactive electronic whiteboard and other applied solutions, introduced functions all detail, expected provide ideas for reform classroom.

The biomimetic surface with Space-V grooves can effectively reduce flow resistance and noise. Our investigation was in order to further enhance the drag reduction noise performance of a marine centrifugal pump Space-V-groove-shaped surfaces. A regression equation established response methodology between total sound pressure level height (h), width (s), spacing (b) groove structure. interaction effects various parameters on were analyzed, parameter range determined at lowest level. hydraulic...

The impact of device and circuit-level effects in mixed-signal Resistive Random Access Memory (RRAM) accelerators typically manifest as performance degradation Deep Learning (DL) algorithms, but the degree varies based on algorithmic features. These include network architecture, capacity, weight distribution, type inter-layer connections. Techniques are continuously emerging to efficiently train sparse neural networks, which may have activation sparsity, quantization, memristive noise. In...