Expression levels of some genes in the MAPK pathway (DUSP1, DUSP2, DUSP4, DUSP6 and DUSP10) in eyelid tumor tissue by Ozmen Esma, Tas Ayca, Akin Dilara Fatma, Erdogan Haydar, Silig Yavuz

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FIKIH USûLÜNDE ZEYDİYYE-MU‘TEZİLE ETKİLEŞİMİ by Fatih Yücel

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A Real-Time Embedded Control System for Electro-Fused Magnesia Furnace by Fang Zheng, Yang Jie, Tao Shifei, Wu Zhiwei, Chai Tianyou

“…Since smelting process of electro-fused magnesia furnace is a complicated process which has characteristics like complex operation conditions, strong nonlinearities, and strong couplings, traditional linear controller cannot control it very well. …”
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Identifying vital nodes algorithm in social networks fusing higher-order information by Guanghui YAN, Meng ZHANG, Hao LUO, Shikui LI, Ting LIU

“…Identifying vital nodes is a basic problem in complex network research.The existing theoretical framework,mainly considered from the lower-order structure of node-based and edge-based relations often ignores important factors such as interactivity and transitivity between multiple nodes.To identify vital nodes more accurately,the motif,the high-er-order structure of the network,was studied as the basic unit.Firstly,a notion of higher-order degree of nodes in a com-plex network was proposed.Then,the higher-order structure and lower-order structure of nodes were fused into evidence theory.A semi-local identifying vital nodes algorithm fusing higher-order information of nodes was designed.The results of experiments on three real social networks show that the proposed algorithm can identify vital nodes more accurately in the network than the existing methods which only focus on the low-order structure.…”
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Synthesis of Benzothiophene-Fused Pyran Derivatives via Piperidine Promoted Domino Reaction by Shihang Li, Aimin Yu, Jianfa Li, Xiangtai Meng

“…This reaction allows efficient access to benzothiophene-fused pyran derivatives in good yields under mild reaction conditions. …”
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Bioactive Fused Pyrazoles Inspired by the Adaptability of 5-Aminopyrazole Derivatives: Recent Review by Dana M. Odeh, Mohanad M. Odeh, Taghrid S. Hafez, Ashraf S. Hassan

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Study of Thermal Effects in Fused-Tapered Pure Passive Fibers and Signal Combiners by Yuyi Yin, Tingwu Ge, Guanrui Zhao, Ruoyu Jia, Zhiyong Wang

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Retracted: Estimation of International Gold Price by Fusing Deep/Shallow Machine Learning by Journal of Advanced Transportation

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A Study Using the Network Simulation Method and Nondimensionalization of the Fiber Fuse Effect by Juan Francisco Sanchez-Pérez, Joaquín Solano-Ramírez, Fulgencio Marín-García, Enrique Castro

“…Using NGSpice, thermal interactions in an anisotropic optical fiber under high optical power conditions are simulated. …”
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A Mapping Method Fusing Forward-Looking Sonar and Side-Scan Sonar by Hong Liu, Xiufen Ye, Hanwen Zhou, Hanjie Huang

“…Finally, FLS map data are seamlessly integrated into the gaps of the SSS map, resulting in a fused, comprehensive seabed representation. …”
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Investigation of Parameters of Fused Deposition Modelling 3D Prints with Compression Properties by Dereje Berihun Sitotaw, Dominik Marcel Muenks, Yordan Kostadinov Kyosev, Abera Kechi Kabish

“…With this knowledge, it will be possible in the future to print human soft tissues with a specific compressive strength using the FDM printing process.…”
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Laser-Induced Point Defects in Fused Silica Irradiated by UV Laser in Vacuum by Xiaoyan Zhou, Xinda Zhou, Jin Huang, Qiang Cheng, Fengrui Wang, Xin Ye, Xiaodong Jiang, Weidong Wu

“…High-purity fused silica irradiated by third harmonic of the Nd:YAG laser in vacuum with different laser pulse parameters was studied experimentally. …”
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Biz İlk İdik, Gene Bir İlk’i Gerçekleştirdik Ayşe Füsun by Ayşe Füsun Öksüzoğlu

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GPS, Accelerometer, and Smartphone Fused Smart Sensor for SHM on Real-Scale Bridges by G. Michel Guzman-Acevedo, G. Esteban Vazquez-Becerra, Jesus R. Millan-Almaraz, Hector E. Rodriguez-Lozoya, Alfredo Reyes-Salazar, J. Ramon Gaxiola-Camacho, Carlos A. Martinez-Felix

“…In addition, dynamic characteristics are extracted using the smart sensor applying the Fast Fourier Transformation (FFT) and periodogram to the structural responses. …”
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Methods of security situation prediction for industrial internet fused attention mechanism and BSRU by Xiangdong HU, Zhengguo TIAN

“…The security situation prediction plays an important role in balanced and reliable work for industrial internet.In the face of massive, high-dimensional and time-series data generated in the industrial production process, traditional prediction models are difficult to accurately and efficiently predict the network security situation.Therefore, the methods of security situation prediction for industrial internet fused attention mechanism and bi-directional simple recurrent unit (BSRU) were proposed to meet the real-time and accuracy requirements of industrial production.Each security element was analyzed and processed, so that it could reflect the current network state and facilitate the calculation of the situation value.One-dimensional convolutional network was used to extract the spatial dimension features between each security element and preserve the temporal correlation between features.The BSRU network was used to extract the time dimension features between the data information and reduced the loss of historical information.Meanwhile, with the powerful parallel capability of SRU network, the training time of model was reduced.Attention mechanism was introduced to optimize the correlation weight of BSRU hidden state to highlight strong correlation factors, reduced the influence of weak correlation factors, and realized the prediction of industrial internet security situation combining attention mechanism and BSRU.The comparative experimental results show that the model reduces the training time and training error by 13.1% and 28.5% than the model using bidirectional long short-term memory network and bidirectional gated recurrent unit.Compared with the convolutional and BSRU network fusion model without attention mechanism, the prediction error is reduced by 28.8% despite the training time increased by 2%.The prediction effect under different prediction time is better than other models.Compared with other prediction network models, this model achieves the optimization of time performance and uses the attention mechanism to improve the prediction accuracy of the model under the premise of increasing a small amount of time cost.The proposed model can well fit the trend of network security situation, meanwhile, it has some advantages in multistep prediction.…”
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Research on Fusing Multisatellite Soil Moisture Data Based on Bayesian Model Averaging by Shan Wang, Yuexing Wang, Chi Zhang, Han Shuai, Chun-Xiang Shi

“…Then, SM data observed by satellites (FY3B, SMOS, and WINDSAT) were fused using the BMA method and a traditional averaging method. …”
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Predicting Pedestrian Counts for Crossing Scenario Based on Fused Infrared-Visual Videos by Shize Huang, Wei Chen, Rongjie Yu, Xiaolu Yang, Decun Dong

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Gender forgery of faces by fusing wavelet shortcut connection generative adversarial network by Wanze CHEN, Liqing HUANG, Jiazhen CHEN, Feng YE, Tianqiang HUANG, Haifeng LUO

“…The mainstream methods in the field of facial attribute manipulation had the following two defects due to data and model architecture limitations.First, the bottleneck structure of the autoencoder model results in the loss of feature information, and the traditional method of continuously injected styles to the source domain features during the decoding process makes the generated image too referential to the target domain while losing the identity information and fine-grained details.Second, differences in facial attributes composition between images, such as gender, ethnicity, or age can cause variations in frequency domain information.And the current unsupervised training methods do not automatically adjust the proportion of source and target domain information in the style injection stage, resulting in artifacts in generated images.A facial gender forgery model based on generative adversarial networks and image-to-image translation techniques, namely fused wavelet shortcut connection generative adversarial network (WscGAN), was proposed to address the these issues.Shortcut connections were added to the autoencoder structure, and the outputs of different encoding stages were decomposed at the feature level by wavelet transform.Attention mechanism was employed to process them one by one, to dynamically change the proportion of source domain features at different frequencies in the decoding process.This model could complete forgery of facial images in terms of gender attributes.To verify the effectiveness of the model, it was conducted on the CelebA-HQ dataset and the FFHQ dataset.Compared with the existing optimal models, the method improves the FID and LPIPS indices by 5.4% and 11.2%, and by 1.8% and 6.7%, respectively.Furthermore, the effectiveness of the proposed method in improving the gender attribute conversion of facial images is fully demonstrated by the results based on qualitative visual comparisons.…”
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A Fused Multiscale Pictorial Sequence Learning Mechanism Applied to Pavement Detection by Zhang Jiazhen, Wang Xiulai, Zhao Shuxu

“…The static statistical evaluation value is retained as one of the specific data to assist in identifying the sample, and the two angle data complement each other to maximize the feature information entropy. Using the SVM classifier with the global sequence alignment algorithm as the main kernel function, the data classification module detects anomalies, so that the algorithm can mine valuable feature attributes from multiple angles as much as possible while stably exerting its classification function. …”
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Synthesis of novel benzo fused bridged azaheterocycles through the reaction of chalcone with hydrazone by Congyang Li, Ruochen Pang, Weiwu Ren

Subjects: “…Fused bridged azaheterocycles…”
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