Abstract This paper reports the influences of herbicide butachlor (n-butoxymethl-chloro -2′,6′ -diethylacetnilide) on microbial populations, respiration, nitrogen fixation andnitrification, and activities dehydrogenase hydrogen peroxidase in paddy soil. The results showed that number actinomycetes declined significantly after application at different concentrations ranging from 5.5μg g−1 to 22.0μg dried soil, while bacteria fungi increased. Fungi were easily affected by compared bacteria....

We propose and experimentally demonstrate a distributed digital pre-equalization (DPE) technique for orthogonal frequency division multiplexing (OFDM)-based bandlimited visible light communication (VLC) systems. In the VLC system applying DPE, subcarriers are divided into two bands, where bandwidth power of each band can be flexibly adjusted to maximize achievable data rate system. Hence, DPE exhibits much higher tolerance against light-emitting diode (LED) nonlinearity than conventional...

Iron deficiency anemia (IDA) is a common nutritional problem, but traditional iron supplements cause many adverse reactions. Thus, the development of novel supplement might be significant for treatment IDA. This study aimed to transport mechanism Flammulina velutipes polysaccharide-iron complex (FVP1-Fe(III)) in Caco-2 cells and therapeutic effect on IDA rats, as well influence gut microbiota vivo. These results showed that vitro, uptake FVP1-Fe(III) was mediated by sodium-dependent glucose...

Abstract Multiple myeloma (MM) is a distinguished hematologic malignancy, with existing studies elucidating its interaction neutrophil extracellular traps (NETs), which may potentially facilitate tumor growth. However, systematic investigations into the role of NETs in MM remain limited. Utilizing single-cell dataset GSE223060, we discerned active NET cell subgroups, namely neutrophils, monocytes, and macrophages. A transcriptional trajectory was subsequently constructed to comprehend...

To improve the performance of anti-jamming communication in dynamic and adversarial jamming environment, an improved method is proposed based on deep reinforcement learning feature engineering. Different from existing studies that use computer vision infinite state spectrum waterfall, relays analyzing differences between adjacent time slots which contains information features patterns. First, strategy trained by countering jammer carries out a random patterns switching strategy. Second,...

To accurately obtain the state parameter information of a vehicle, square root generalized high-order cubature Kalman filter (CKF) estimation algorithm based on atomic search optimization (ASO-SRGHCKF) is proposed. On basis CKF, using rule instead cumbersome spherical rule, algorithm's weights and points are calculated directly. Then, filtering technology introduced, CKF (SRGHCKF) derived by replacing Cholesky decomposition with orthogonal triangle (QR) decomposition. lessen estimate error...

Many tire-road friction coefficient estimation methods require the wheel angular speed sensor to provide a signal. In this paper, algorithm for distributed drive electric vehicles using permanent magnet synchronous motors(PMSM) sensorless control is proposed reduce use of sensors. The signal replaced by rotor obtained from PMSM control. First, three degrees freedom vehicle dynamics model and mathematical are established, strong tracking cubature Kalman filtering based on orthogonal...

Abstract: Staphylococcus aureus is becoming increasingly intractable because of its ability to acquire antimicrobial resistance and secrete numerous virulence factors that can exacerbate inflammation. Alpha-hemolysin (Hla) a pore-forming factor produced by S. self-assemble into heptameric mushroom-structured pores in target cell membranes, leading lysis death. In the present study, we sought better understand mechanism underlying hemolysis oligomerization Hla creating nine mutants with...

A hybrid coupling beam is developed in this study to render the reinforced concrete (RC) shear wall structure a higher seismic performance. As first protection from earthquake, able dissipate more energy when combined series with metallic damper. The strength of damper carefully selected so that RC part remains elastic, while all plasticity goes into This mechanism protects damage. And can be quickly replaced once it damaged. significantly enhances reparability entire structure, making...

Abstract The advancement of autonomous driving heavily relies on the ability to accurate lane lines detection. As deep learning and computer vision technologies evolve, a variety learning-based methods for line detection have been proposed by researchers in field. However, owing simple appearance lack distinctive features, it is easy other objects with similar local appearances interfere process detecting lines. precision limited unpredictable quantity diversity To address aforementioned...

This paper presents an effective adaptive beamforming method based on a complex-valued processing neural network (CPNN), named as CPNN algorithm. In the proposed method, optimal problem can be formulated regression of networks (NNs). structure, new real-imaginary merging (RIM) layer and imaginary-real (IRM) are constructed to process data with other layers. Via RIM IRM layers, computation in neurons follows multiplication rule, which makes mathematical relationship between input output...

High-speed autonomous emergency collision avoidance for intelligent vehicles is a challenging task. Many existing studies have not considered the effect of road adhesion coefficient in vehicle high-speed planning layer. Additionally, lateral control, strong coupling motion on system model considered. This increases uncertainty process and correlates with driving safety. In this regard, article conducted relevant studies. First, distributed drive electric (DDEV) controlled longitudinal speed...

Interior finishing requires high labor intensity and materials are harmful to workers during the processes, especially one of wall surface disposal. In order reduce costs protect health workers, applying autonomous interior robots in disposal process will be a reasonable choice. application an robot, path taken by robot must planned carefully considering that indoor environments can very complicated. addition, different from mobile manipulators, has access larger working space able apply...

With the increase in cost of renovation, as well rapid development robotic automation technology, use robots for automated interior finishing work will be an inevitable trend. If is conducted by autonomous robots, it involve a localization problem. The robot should able to localize itself with respect target room and automatically recognize geometry information about needed processed. Therefore, three-dimensional very important robots. In this research, 3D laser scanner designed purpose....

The processings involved in interior finishing work are unhealthy and labor intensive. Thus it is expected that the introduction of autonomous robots can change situation. This paper describes a robot developed for this purpose. It designed to implement wall polishing which belongs fundamental works harmful workers due accompanied dust. proposed system consists structured light based 3D scanner arm (UR5) fixed on an mobile platform. adopted recognizing defects surface measuring its...

The recent emergence of contrastive learning approaches facilitates the application on graph representation (GRL), introducing (GCL) into literature. These methods contrast semantically similar and dissimilar sample pairs to encode semantics node or embeddings. However, most existing works only performed \textbf{model-level} evaluation, did not explore combination space modules for more comprehensive systematic studies. For effective \textbf{module-level} we propose a framework that...

The team sports game video features complex background, fast target movement, and mutual occlusion between targets, which poses great challenges to multiperson collaborative analysis. This paper proposes a semantic extraction method that integrates domain knowledge in-depth features, can be applied the analysis of basketball video, where event is modeled as an adversarial relationship two teams players. We first designed scheme combines dual-stream network learnable spatiotemporal feature...

We study the effects of geontropic vacuum fluctuations in quantum gravity on next-generation terrestrial gravitational wave detectors. If VZ effect proposed Ref. [1], as modeled Refs. [2, 3], appears upcoming GQuEST experiment, we show that it will be a large background for astrophysical searches observatories like Cosmic Explorer and Einstein Telescope.