Effectiveness of citizen inquiry approach in promoting environmental knowledge of young people by Micheal Obakhavbaye

Get full text

High order harmonic generation-based attosecond light sources and applications to quantum phenomena by E. Constant, S. Nandi, C. Picot, E. Prost, S. Palakkal, F. Lépine, V. Loriot

“…Attosecond science and technology have emerged as a promising path for improving our understanding of light–matter interaction. …”
Get full text

Investigation the CMP process of 6 H-SiC in H2O2 solution with ReaxFF molecular dynamics simulation by Yanzhang Gu, Kaiping Feng, Lanxing Xu, Liang Zhao, Tianchen Zhao, Binghai Lyu

Get full text

Solving Quantum Mechanics Problems Via Integral Rohit Transform by Rohit Gupta, Rahul Gupta, Dinesh Verma

Get full text

A Wearable Iron-Based Implant as an Intramedullary Nail in Tibial Shaft Fracture of Sheep by Sitaria F. Siallagan, Marzuki Silalahi, Arief Boediono, Sri Estuningsih, Deni Noviana

Get full text

Predicting Nanobinder-Improved Unsaturated Soil Consistency Limits Using Genetic Programming and Artificial Neural Networks by Ahmed M. Ebid, Light I. Nwobia, Kennedy C. Onyelowe, Frank I. Aneke

Get full text

Characterization of the key aroma compounds in four varieties of pomegranate juice by gas chromatography-mass spectrometry, gas chromatography-olfactometry, odor activity value, ar... by Cong Lu, Yuyu Zhang, Ping Zhan, Peng Wang, Honglei Tian

Get full text

Thermal Performance Augmentation of Double-Pipe Heat Exchanger-A Critical Review by Md Atiqur Rahman

Get full text

ECONOMIC ASPECTS OF ORGANIC SOY PRODUCTION IN UKRAINE by Hanna Pantsyreva

“…It has been found that the rational use of natural resources through the organic production of soybeans, through the development and implementation of bio-organic farming technologies, improves the culture of agriculture, restores and improves soil fertility, and increases the amount of available protein products and nutritious fodder. …”
Get full text

Nuclear Fusion Pattern Recognition by Ensemble Learning by G. Farias, E. Fabregas, I. Martínez, J. Vega, S. Dormido-Canto, H. Vargas

“…This energy could be cheaper, cleaner, and safer than other technology currently in use. Experiments in nuclear fusion generate a large number of signals that are stored in huge databases. …”
Get full text

The Deformation Behavior and Failure Modes of Surrounding Rock after Excavation: A Experimental Study by Jinping Liang, Haoyong Jing, Xiaorui Li, Gongyu Hou

Get full text

Influence of contextual factors on most demanding scenarios in under-19 professional soccer players by Rubén-Cipriano Romero-Rodríguez, Enrique Alonso-Pérez-Chao, Carlos Ribas, Daniel Memmert, Miguel-Ángel Gómez-Ruano

“…A total of 42 players were monitored across 27 games using Global Positioning System (GPS) technology to collect the external loads, including total distance covered, high-speed running, sprint distance, accelerations, and decelerations. …”
Get full text

An Autonomous Positioning Method for Drones in GNSS Denial Scenarios Driven by Real-Scene 3D Models by Yongqiang Cui, Xue Gao, Rui Yu, Xi Chen, Dingwen Wang, Di Bai

“…This paper presents a novel approach that employs a real-scene 3D model and image point cloud reconstruction technology for the autonomous positioning of drones and attains high positioning accuracy. …”
Get full text

Encrypted traffic identification method based on deep residual capsule network with attention mechanism by Guozhen SHI, Kunyang LI, Yao LIU, Yongjian YANG

“…With the improvement of users’ security awareness and the development of encryption technology, encrypted traffic has become an important part of network traffic, and identifying encrypted traffic has become an important part of network traffic supervision.The encrypted traffic identification method based on the traditional deep learning model has problems such as poor effect and long model training time.To address these problems, the encrypted traffic identification method based on a deep residual capsule network (DRCN) was proposed.However, the original capsule network was stacked in the form of full connection, which lead to a small model coupling coefficient and it was impossible to build a deep network model.The DRCN model adopted the dynamic routing algorithm based on the three-dimensional convolutional algorithm (3DCNN) instead of the fully-connected dynamic routing algorithm, to reduce the parameters passed between each capsule layer, decrease the complexity of operations, and then build the deep capsule network to improve the accuracy and efficiency of recognition.The channel attention mechanism was introduced to assign different weights to different features, and then the influence of useless features on the recognition results was reduced.The introduction of the residual network into the capsule network layer and the construction of the residual capsule network module alleviated the gradient disappearance problem of the deep capsule network.In terms of data pre-processing, the first 784byte of the intercepted packets was converted into images as input of the DRCN model, to avoid manual feature extraction and reduce the labor cost of encrypted traffic recognition.The experimental results on the ISCXVPN2016 dataset show that the accuracy of the DRCN model is improved by 5.54% and the training time of the model is reduced by 232s compared with the BLSTM model with the best performance.In addition, the accuracy of the DRCN model reaches 94.3% on the small dataset.The above experimental results prove that the proposed recognition scheme has high recognition rate, good performance and applicability.…”
Get full text

Breaking Mechanism and Damage Evolution Rule of Ultra-High-Pressure Water Jet Impacting Steel Fiber Reinforced Concrete by Jialiang Liu, Yuelong Chen, Yujie Zhu

“…In addition, based on the CT scans and digital image processing technology, this paper also comparatively analyzed the internal fragmentations of SFRC and the ordinary concrete subjected to UHP-WJ impact, and it is found that compared with the ordinary concrete, there is smaller dimension of crater and it is difficult to engender macrocrack for SFRC, with lower damage and higher damage attenuation speed along the axial and radial directions.…”
Get full text

Combining Hyperspectral Imaging and a Transparent Hydroponics Bed to Analyze Growth and Age Distribution Dynamics of Entire Root Systems in Leafy Vegetables under In Situ Productio... by Ziyi Jin, Daisuke Yasutake, Yuki Sago, Tadashige Iwao, Gaku Yokoyama, Tomoyoshi Hirota

“…This study explored the application of hyperspectral imaging technology to analyze the dynamic growth and aging of root systems throughout the cultivation period, specifically focusing on spinach (Spinacia oleracea L., cv. …”
Get full text

Advances in Henry Gas Solubility Optimization: A Physics-Inspired Metaheuristic Algorithm With Its Variants and Applications by Mohammed A. El-Shorbagy, Anas Bouaouda, Hossam A. Nabwey, Laith Abualigah, Fatma A. Hashim

Get full text

Snail基因慢病毒载体的构建及其促进结肠癌细胞上皮间质化的研究

“…【目的】 构建Snail基因慢病毒载体,研究Snail基因的表达与结肠癌细胞上皮间质化的关系。【方法】 利用Gateway Technology法构建Snail基因表达质粒和空白对照质粒,行慢病毒包装,成功构建Snail基因慢病毒载体后,在结肠癌细胞系caco2中转染Snail基因质粒及空白载体对照,构建稳转细胞株caco2- Snail和caco2-vc,并在LoVo细胞中瞬时转染上述质粒,对Snail及E-钙黏蛋白(E-cadherin)的表达进行检测,并用划痕、Tanswell实验对细胞的迁移侵袭能力进行研究。…”
Get full text

Removal of a fractured file beyond the apical foramen using robot-assisted endodontic microsurgery: a clinical report by Mei Fu, Shen Zhao, Xubing Zhou, Benxiang Hou, Chen Zhang

“…Conclusions The ATR system enables precise localization of the fractured file beyond the apical foramen with intact cortical plates. This technology has the potential to improve positioning accuracy, minimize the need for invasive bone removal, reduce intraoperative time, and facilitate successful endodontic microsurgical procedures.…”
Get full text

The urgency of Polya model problem-solving on students mathematical ability in facing the Industrial Revolution 5.0 by Abdurrahman Al Kayyis, Mohammad Tohir, Muhasshanah Muhasshanah

Get full text