Spatiotemporal Variations of Water Pollution-Intensive Enterprises and Influencing Factors in China’s “Two Control Zone” Policy Using Spatial Statistics and Spatial Autoregressive... by Fuqiang Dai, Xia Zhang, Qing Li, Hao Liu

“…With accelerated industrialization, China’s water quality has deteriorated to one of the lowest levels in the world. …”
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A Scientometric Review of Digital Currency and Electronic Payment Research: A Network Perspective by Qing Shi, Xiaoqi Sun

“…The potential implications of digital currencies and electronic payment (DC/EP) have become a hot global research area. To present the knowledge bases and research fronts of this field, we apply a scientometric approach to analyze 454 publications obtained from the Web of Science core collection. …”
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Residual life prediction of defected Polypropylene Random copolymer pipes (PPR) by Abderazzak Ouardi, Fatima Majid, Nadia Mouhib, Mohamed Elghorba

“…The calculation of the damage, by experimental damage models, have led to determine the three stages of evolution of the damage, which are the initiation, the progression and the acceleration of it. …”
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Cyber security entity recognition method based on residual dilation convolution neural network by Bo XIE, Guowei SHEN, Chun GUO, Yan ZHOU, Miao YU

“…In recent years,cybersecurity threats have increased,and data-driven security intelligence analysis has become a hot research topic in the field of cybersecurity.In particular,the artificial intelligence technology represented by the knowledge graph can provide support for complex cyberattack detection and unknown cyberattack detection in multi-source heterogeneous threat intelligence data.Cybersecurity entity recognition is the basis for the construction of threat intelligence knowledge graphs.The composition of security entities in open network text data is very complex,which makes traditional deep learning methods difficult to identify accurately.Based on the pre-training language model of BERT (pre-training of deep bidirectional transformers),a cybersecurity entity recognition model BERT-RDCNN-CRF based on residual dilation convolutional neural network and conditional random field was proposed.The BERT model was used to train the character-level feature vector representation.Combining the residual convolution and the dilation neural network model to effectively extract the important features of the security entity,and finally obtain the BIO annotation of each character through CRF.Experiments on the large-scale cybersecurity entity annotation dataset constructed show that the proposed method achieves better results than the LSTM-CRF model,the BiLSTM-CRF model and the traditional entity recognition model.…”
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Analysis of the Performance Characteristics of ZnO Nanoparticles’ Dispersed Polyester Oil by V. P. Suresh Kumar, N. Manikandan, N. Nagaprasad, Jule LetaTesfaye, Ramasamy Krishnaraj

“…Analysis of performance characteristics of nanoparticles’ dispersed oil has wide and an important role in oil industries. …”
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Semianalytical Solutions to the Axisymmetric Free Strain Consolidation Problem of Unsaturated Soils under the Homogeneous and Mixed Boundary Conditions by Yuanchun Huang, Lei Wang, Sidong Shen

“…Since the wide applicability of axisymmetric consolidation model, the axisymmetric consolidation problem of unsaturated soils has gradually become a hot issue. However, the mixed boundary conditions of axisymmetric free strain consolidation of unsaturated soils have not been fully considered. …”
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Artificial intelligence v/s human intelligence: a relationship between digitalization and international trade by Vani Aggarwal, Nidhi Karwasra

“…Abstract Purpose The influence of artificial intelligence (AI) on society has become a hot topic of discussion as it is being incorporated into academics and other fields. …”
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Reproductive behaviour and longevity: Evidence from Chinese centenarians by Shuo Zhang, Si-qing Zhang, Hua-lei Yang, Jia-hao Wang, Yuan-yang Wu

“…With the implementation of the three-child policy in China, the debate between fertility and health and longevity has again become a hot topic in the era of increasing ageing. …”
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Indicator Selection for Topic Popularity Definition Based on AHP and Deep Learning Models by Yuling Hong, Qishan Zhang

“…At the same time, a new application field of deep learning technology has been further discovered and verified. Originality/Value. …”
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The Evolutionary Characteristics of Lower Permian Keziliqiman Reefs in the Southwest Margin of Tarim Basin, Northwest China by Yijun Wang, Hongming Tang, Guang Yang, Zhenyu Wang, Yunfeng Zhang, Lei Chen

“…Later, with rapid decline of sea level in that area, the Sangzhu section turned into a hot and dry supratidal zone, where algae began to flourish, dolomitization intensified, reef building organisms died en masse, and eventually the reef died. …”
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Determination of helminths in various birds (aves) living in the lake Çavuşçu by Fatma Hüğül, Feyzullah Güçlü

“…<p> <b>Conclusion:</b> As a result of the findings, helminth fauna of wild birds in Turkey to investigate the effect might have on domestic poultry it has concluded that more comprehensive and specific research needs to be done to avian species.…”
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Design and Experimental Research of Lubrication System of High Power Transfer Case by Zhang Lei, Ge Kai, Shan Hongbo, Li Hongbiao, Zhao Yanming, Zhang Bin, Mu Lianhao, Gao Lili, Zhao Juan, Jiang Zhong

“…It is necessary to use the forced lubrication system to lubricate the internal hot spots of the transfer case,especially the bearing position. …”
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Application of optical basicity to viscosity of high alumina blast furnace slags by Ghosh D., Krishnamurthy V.A., Sankaranarayanan S.R.

“…It appears that these slags have higher viscosity and lower sulphide capacity than the low alumina slags. …”
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Effect of segregations on mechanical properties and crack propagation in spring steel by B. Žužek, M. Sedlacek, B. Podgornik

“…Results shows that elimination of segregations and microstructure refinement using additional ESR process gives some improvement in terms of better repeatability and reduced scattering, but on the other hand it has negative effect on crack propagation resistance and fatigue properties of the spring steel.…”
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The Role of Cognitive Science and Big Data Technology in the Design of Business Information Management Systems by Yangfan Li

“…It is verified that the prediction model has good accuracy, robustness, and universality. …”
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Effect of segregations on mechanical properties and crack propagation in spring steel by B. Žužek, M. Sedlacek, B. Podgornik

“…Results shows that elimination of segregations and microstructure refinement using additional ESR process gives some improvement in terms of better repeatability and reduced scattering, but on the other hand it has negative effect on crack propagation resistance and fatigue properties of the spring steel.…”
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Analysis of factors affecting the evolution of the sign system and the duality of identity in the urban context with a semiotic approach by azadeh atashpanjeh, mohammad naghizadeh, Zahrasadat saeideh zarabadi

“…The research is qualitative and the method of research is descriptive-analytic analytic and Semiotics has been used as a tool and method for considering representations and analyzing the identity of the city. …”
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Two-plasmon-decay instability stimulated by dual laser beams in inertial confinement fusion by C.-W. Lian, Y. Ji, R. Yan, J. Li, L.-F. Wang, Y.-K. Ding, J. Zheng

“…Both beams contribute to the growth of TPD in a “seed-amplification” manner in which the absolute instability driven by Beam-L provides the seeds that are convectively amplified by Beam-N, making TPD energetically important and causing significant pump depletion and hot-electron generation.…”
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In Situ Assessment of HVAC System Impact in Façades of a UNESCO World Heritage Religious Building by Kelsey Williamson, Antonio Martinez-Molina, William Dupont

“…This research evaluates the impact of thermal and humidity problems caused by a HVAC condensing unit on a 265-year-old wall in a UNESCO World Heritage Site in the hot and humid climate of San Antonio, Texas (USA). …”
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A Laboratory Investigation into the Effects of Coarse Aggregate Angularity on Performance of WMA by Jie Ji, Peng Zhai, Wenhua Zheng, Zhi Suo, Ying Xu

“…This study evaluated the effects of coarse aggregate angularity (CAA) on the performances of warm mix asphalt (WMA) because previous studies have predominantly focused on the effects of CAA on the hot mix asphalt (HMA) performances. …”
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