Effects of hyperbaric oxygen and N-acetylcysteine in survival of random pattern skin flaps in rats by Fernando da Rocha, Djalma Fagundes, Jefferson Pires, Fernanda Salim da Rocha

“…Objective: Our aim is to investigate the role of HBO (hyperbaric oxygen), NAC (N-acetylcysteine), and HBO plus NAC on the necrosis area of random rat′s skin flaps of a modified McFarlane flap design. …”
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Research on Cascading Failure Model of Urban Regional Traffic Network under Random Attacks by Ruru Xing, Qingfang Yang, Lili Zheng

“…Firstly, the double-layer network model is built for analyzing the complex characteristics of the regional traffic network. …”
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Modelling of Random Textured Tandem Silicon Solar Cells Characteristics: Decision Tree Approach by R.S. Kamath, R.K. Kamat

“…Moreover the performance of the model is evaluated with reference Mean Square Error (MSE) estimate of error rate. The modeling of the random textured silicon solar cells reveals strong correlation of efficiency with “Fill factor” and “thickness of a-Si layer”.…”
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Study on influence of solder voids on power cycling lifetime of IGBT module by LIU Peng, DENG Erping, ZHOU Wangjun, CHEN Jie, HUANG Yongzhang

“…Considering that the process voids generated in the IGBT module manufacturing process have random size and random unknown characteristics, power cycling tests were conducted under the same test conditions for double-sided cooled IGBT modules with different void ratios. …”
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Numerical Simulation of Diversion Tunnel Excavation Using GPU-Accelerated Anisotropic Random Fields by Guo-jin Zhu, Yu Ning, Zhi-hao Cui, Nanxiang Hu, Qing-xiang Meng, Chun Zhu

“…With the MATLAB programming control be used to combine the advantages of GPU and CPU computing, the efficient method of generating large numerical model random fields is realized. Based on the geological structure characteristics of red-layered soft rocks in central Yunnan, the anisotropic rock random field and tunnel excavation with different rotation angles are simulated. …”
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A soil temperature dataset based on random forest in the Three River Source Region by Xiaoqing Tan, Siqiong Luo, Hongmei Li, Zhuoqun Li, Qingxue Dong

“…RFST provides monthly ST data at nine layers with a spatial resolution of 0.01° × 0.01° from 1982 to 2015. …”
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An Efficient Random Forest Classifier for Detecting Malicious Docker Images in Docker Hub Repository by Maram Aldiabat, Qussai M. Yaseen, Qusai Abu Ein

“…The number of exploits of Docker images involving the injection of adversarial behaviors into the image’s layers is increasing immensely. Docker images are a fundamental component of Docker. …”
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Numerical method and application of transient electromagnetic full-time responses of pseudo-random waveforms by Kailiang LU, Jianhua YUE, Ya’nan FAN, Danyang XI

“…Moreover, comparing the secondary fields of different pulse width pseudo-random waveforms through the layered model shows that the narrow pulse width waveform has higher detection resolution. …”
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Design and implementation of hardware-based dynamic instruction set randomization framework by San DU, Hui SHU, Fei KANG

“…All the existing ISR methods have some defects including stripping data from code segment is hard to accomplish,static ISR has fixed key and pseudo-random key is not secure.To introduce ISR technology into the se-curity protection of kernel layer and application layer,hardware-based dynamic instruction set randomization framework (HDISR) was designed and implemented,in which program code was encrypted at loading time.Kernel encryption uses kernel key and applications encryption uses a different user key per process.The experimental re-sults show that HDISR can degrade code injection attack to Denial of Service attack with less than 2.57% additional hardware and 0.31s startup delay of each megabyte code encryption.…”
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Study on surface deformation induced by shield excavation due to coarse particle content in strongly weathered rock layers. by Puzhen An, Baoxin Jia, Qinglei Yuan, Lei Chen

“…By comparing Peck's formula with random medium theory, the study expands the application of random medium theory in engineering, converting many of Peck's empirical parameters into corresponding parameters within the random medium framework. …”
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Prediction of Heat Transfer Characteristics of the Carbonized Layer of Resin-Based Ablative Material Based on the Finite Element Method by Junjie Gao, Jijun Yu, Haitao Han, Daiying Deng

“…The results show that the deviation between the numerical results and the experimentally measured thermal conductivity coefficient of the carbonized layer is within 10%, showing that the accuracy of the finite element random model is significantly higher than that of the dual-scale unit cell model. …”
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Black soil layer thickness prediction and soil erosion risk assessment in a small watershed in Northeast China. by Keke Xu, Huimin Dai, Xujiao Zhang, Chaoqun Chen, Kai Liu, Guanxin Du, Cheng Qian

“…By integrating topographical parameters and vegetation-climate indicators, random forest and kriging methods (classical bayesian, ordinary, and simple) were used to estimate the spatial distribution of thickness of black soil layer. …”
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Two-Layer Parallel Fuzzy Logic Controller Design for Semiactive Suspension System with a Full Car Model by Vu Van Tan

“…The dynamic equations are converted to the state space representation to facilitate control design and improve accuracy in simulation design. Then, a two-layer parallel fuzzy logic controller is designed with 49 and 25 rules for two fuzzy inference systems. …”
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Optimization Algorithm of Adaptive Dual-layer Search Path Planning Based on Left-hand Traffic Rules in Mines by HUANG Jiade, LIU Yong, HU Yunqing, MEI Wenqing

“…The upper-layer search, employing the rapidly-exploring random tree (RRT) algorithm and accommodating the environmental characteristics of mining areas, features adaptive adjustments of search step sizes, achieving efficient searches with larger step sizes in open areas, while detailed searches with smaller step sizes in narrow or winding areas. …”
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Assessment of Landslide Susceptibility Based on the Two-Layer Stacking Model—A Case Study of Jiacha County, China by Zhihan Wang, Tao Wen, Ningsheng Chen, Ruixuan Tang

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Fast Recognition of Table Eggs from Different Farming Systems Using Physical Traits and Multi-layer Perceptron by MC Huang, Q Lin, H Cai, H Ni

“…Measurements of 27 physical traits for 480 eggs were conducted using simple tools, and the multicollinearity was reduced by comparing correlation coefficients, resulting in 16 physical traits. Multi-layer Perceptron Neural Network, Naive Bayes, Linear Support Vector Classifier, Radial Basis Functions Support Vector Classifier and Random Forest were used to create recognition models, and the leave-one-out cross-validation method was used for training and evaluation. …”
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Research on the Dynamic Response Patterns of Layered Slopes Considering Non-Homogeneity Under Blast-Induced Vibration Effects by Yong Zhao, Yanjie Liu, Shihui Jiao, Tianhong Yang, Wenxue Deng, Shuhong Wang

“…To investigate the dynamic wave propagation characteristics and dynamic response of heterogeneous layered slopes under a blasting vibration, a modeling method considering the slope’s layered dip angle and heterogeneity was proposed. …”
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Pressure Methods for Primary Hemorrhage Control: A Randomized Crossover Trial

“…Participants were randomized to order of pressure with gauze application (10, 20 & 30 layers of 4x4 inch cotton gauze, respectively) and subsequently to three different methods of pressure application: the finger pads of 3 digits of the right hand, 3 fingers of the dominant hand with the opposing hand applying counter pressure, or 3 digits of each of two hands on top of the other. …”
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Link prediction using extended neighborhood based local random walk in multilayer social networks by Xueping Ren

“…The results of the simulations show that the use of different inter-layer and intra-layer information as well as the local random walk configuration with extended neighborhood provides a trade-off between precision and complexity. …”
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Effect of smear layer deproteinization on bonding of self-etch adhesives to dentin: a systematic review and meta-analysis by Khaldoan H. Alshaikh, Hamdi H. H. Hamama, Salah H. Mahmoud

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