Experimental substantiation of the method for assessing the phytotoxicity of micromycetes on wheat seedlings by N. S. Zhemchuzhina, S. A. Elizarova, M. I. Kiseleva, D. A. Zakharov, I. I. Sardarova

“…To solve the problem, the development of new methodological approaches is required, which is significant for immunologists and phytopathologists.The purpose of this work is to determine the phytotoxic activity of micromycete strains from the genera Fusarium, Alternaria, Bipolaris, parasitizing on all agricultural crops cultivated in Russia.Materials and methods. The strains, the methods of their cultivation, the bioassay method were used, and the statistical processing of the results obtained was carried out. …”
Get full text

Development and testing of light paddy planter based on AHP method by MA Guang, WANG Zhi-ming

“…The multilevel hierarchical structure of complete correlation and the index system were constructed. The optimal decision was chosen with analytic hierarchy process (AHP) method, and the prototype of light paddy planter was developed. …”
Get full text

Enhancing gas-quenching method for fabrication of perovskite-based photovoltaics

Get full text

Streaming online log parsing method based on heuristic rule by JIANG Zhongyuan, TAO Meiyue, ZHAO Xiaoqing, FANG Xiaotong, LI Xinghua, MA Jianfeng

“…Based on the drain method of parsing the structure tree, heuristic rules were introduced to split and construct the log, and some construction methods of the parse structure tree were optimized, so as to solve the problems of over fitting of log parameters and unstable parsing results of different system logs. …”
Get full text

Hyperspectral identification of travertine state in Huanglong by the PSO-BPNN method by Menghui Xu, Weihong Wang, Jialun Cai, Qunwei Dai, Jing Fan, Sicheng Li

“…Finally, the proposed method was applied to the real-world hyperspectral image data collected by the Micro-Hyperspectral imaging instrument to classify the travertine formations in different states and bare ground. …”
Get full text

A Vegetable-Price Forecasting Method Based on Mixture of Experts by Chenyun Zhao, Xiaodong Wang, Anping Zhao, Yunpeng Cui, Ting Wang, Juan Liu, Ying Hou, Mo Wang, Li Chen, Huan Li, Jinming Wu, Tan Sun

“…Different from the traditional single model prediction method, VPF-MoE can dynamically adapt to the characteristics of different vegetable types, dynamically select the best prediction method, and significantly improve the accuracy and robustness of the prediction. …”
Get full text

A Rapid Method for Obtaining the Transgenic Roots of Crassulaceae Plants by Lan Zhou, Yulu Yang, Anket Sharma, Vijay Pratap Singh, Durgesh Kumar Tripathi, Wona Ding, Muhammad Junaid Rao, Bingsong Zheng, Xiaofei Wang

“…An acetosyringone concentration of 100 μM was optimal for the hairy root transformation, and the immersion method yielded the highest efficiency. …”
Get full text

Prediction of Shield Tunneling Attitude Based on WM-CTA Method by GAO Su, CHEN Cheng

“…To ensure that shield tunneling closely aligns with the designed alignment and to improve engineering construction quality, this study proposes a novel shield attitude prediction model, called WM-CTA, based on deep learning technology. [Methods] The WM-CTA model primarily consists of two frameworks: a data preprocessing module (Wavelet Transform and Maximum Information Coefficient) and a prediction module (Convolutional Neural Network and Attention Mechanism). …”
Get full text

An Interpretable Method for Anomaly Detection in Multivariate Time Series Predictions by Shijie Tang, Yong Ding, Huiyong Wang

“…Our method transforms the interpretation of anomalous features into solving an optimization problem in a normal “reference” state. …”
Get full text

Human Action Recognition Method Based on Multi-channel Fusion by Zhiyong TAO, Xijun GUO, Xiaokui REN, Ying LIU, Zemin WANG

“…In this challenging context, innovative algorithms and model designs are crucial for addressing differences in CSI features between various actions and enhancing the model’s generalization ability and robustness.Method This study explores human actions’ physical and MIMO transmission characteristics, proposing a deep learning-based human action recognition method that employs a dual attention mechanism and a multi-channel, multi-scale fusion temporal convolution network to address the above challenges. …”
Get full text

LSTM Logging Curve Prediction Method Based on Attention Mechanism by DAI Baoqing, PENG Jiaqiong, ZHANG Tianhuan, ZHAO Jiafeng, ZHAO Jianpeng

“…The prediction results show that: the introduction of the Att mechanism into the LSTM neural network enhances the correlation of logging features at different depths and optimizes the weight distribution of logging features in different time periods. …”
Get full text

Multi-station positioning accuracy and enhancement method for 5G by Feilong ZHAO, Lili WANG

“…RAT-dependent is a satellite independent positioning technology of 5G.3GPP gives the Cramer-Rao lower bound (CRLB) of the positioning accuracy under the ideal condition of a single station and the simulation positioning accuracy of multi-station under different network configurations.Based on the actual network conditions, the analysis framework, accuracy range of multi-station positioning accuracy and the corresponding improvement method were proposed.The experimental results show that the RAT-dependent positioning accuracy is closely related to network technologies, and the positioning accuracy of the optimized scheme can be improved by 20%～30% compared with the non-optimized scheme.…”
Get full text

Survey on video image reconstruction method based on generative model by Yanwen WANG, Weimin LEI, Wei ZHANG, Huan MENG, Xinyi CHEN, Wenhui YE, Qingyang JING

“…Traditional video compression technology based on pixel correlation has limited performance improvement space, semantic compression has become the new direction of video compression coding, and video image reconstruction is the key link of semantic compression coding.First, the video image reconstruction methods for traditional coding optimization were introduced, including how to use deep learning to improve prediction accuracy and enhance reconstruction quality with super-resolution techniques.Second, the video image reconstruction methods based on variational auto-encoders, generative adversarial networks, autoregressive models and transformer models were discussed emphatically.Then, the models were classified according to different semantic representations of images.The advantages, disadvantages, and applicable scenarios of various methods were compared.Finally, the existing problems of video image reconstruction were summarized, and the further research directions were prospected.…”
Get full text

Load Localization and Reconstruction Using a Variable Separation Method by Jing Zhang, Fang Zhang, Jinhui Jiang

“…An error optimization function of load histories in different modes is employed to determine the true load location. …”
Get full text

Reliability Allocation Method for Electric Aircraft Lightweight Propulsion System by LI Jinghao, LI Ran, HUA Hao, HUANG Wentao, GAO Fei, TAI Nengling

“…The applicability of the proposed method is verified in different scenarios designed, providing technical support for the development of high power-to-weight ratio in electric aircrafts.…”
Get full text

96-Well electroporation method for transfection of mammalian central neurons by William J. Buchser, Jose R. Pardinas, Yan Shi, John L. Bixby, Vance P. Lemmon

“…In addition to enabling the rapid optimization of experimental protocols with multiple parameters, this procedure enables the use of high content screening methods to characterize neuronal phenotypes.…”
Get full text

Single-Crystal Inspection Using an Adapted Total Focusing Method by Iratxe Aizpurua-Maestre, Aitor De Miguel, Jose Luis Lanzagorta, Ewen Carcreff, Lander Galdos

“…This study proposes a methodology to determine the crystal orientation, which is subsequently used to improve the Total Focusing Method (TFM) by incorporating the refracted beam directivity. …”
Get full text

DCFE-YOLO: A novel fabric defect detection method. by Lei Zhou, Bingya Ma, Yanyan Dong, Zhewen Yin, Fan Lu

“…Finally, the feature fusion network integrates Partial Convolution and Efficient Multi-scale Attention, optimizing the fusion of information across different feature levels and spatial scales, which enhances the richness and accuracy of feature representations while reducing computational complexity. …”
Get full text

Tailoring the Synthesis Method of Metal Oxide Nanoparticles for Desired Properties by Adriana-Gabriela Schiopu, Daniela Monica Iordache, Mihai Oproescu, Laura Mădălina Cursaru, Adriana-Miruna Ioța

“…The precise control of MONs’ properties, including size, shape, composition, crystallinity, and surface chemistry, is significant for optimizing their performance. This study aims to investigate the characteristics of synthesis methods of MONs. …”
Get full text

Aircraft Bearing Fault Diagnosis Method Based on LSTM-IDRSN by Lei Wang, Kun He, Haipeng Fu, Weixing Chen

“…Additionally, the model maintains high precision and stability even under noise interference, outperforming other methods.…”
Get full text