Breast Cancer Detection Using Ensemble Classifiers for Accuracy Improvement by Mahboubeh Shamsi, Mohadaseh Karimian, Marziyeh Karimian

“…Our proposed model in the WBC database (reducing features by cfs+ optimizing samples using Resample+ ensemble classifier using data mining algorithms (kstar + random forest + Naïve Bayes and Bayes network)) has the best detection accuracy ( 100%), implementation time (0 seconds) and without any errors and on the WDBC database (reducing features by cfs+ optimizing samples using Resample+ ensemble classifier using data mining algorithms (IBK algorithm+ Naïve Bayes, Bayes network and kstar)) has an accuracy of 99/29, the implementation time is 0 seconds, and the mean absolute error is 0/007. …”
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Cardiovascular and Vector-Cardiographic Effects of Articaine Anesthesia with Epinephrine by Christoph Pökel, Antina Schulze, Martin Busse

“…The intervention was a local or mandibular nerve block anesthesia with 4% articaine hydrochloride containing epinephrine (1 : 100,000; 40 mg/ml + 10 μg/ml). Blood pressure (BP), heart rate (HR), pulse wave transit time, and vector-cardiography data were recorded throughout 3 min before and 5 min after injection. …”
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Research on Palmprint Identification Method Based on Quantum Algorithms by Hui Li, Zhanzhan Zhang

“…According to the experimental results, quantum algorithm only needs to apply square of N operations to find out the target palmprint, but the traditional method needs N times of calculation. At the same time, the matching accuracy of quantum algorithm is almost 100%.…”
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Kinetics and equilibrium studies of phosphate removal from aqueous solution by calcium silicate hydrate synthesized from electrolytic manganese residue by Changxin Li, Yuan Yu, Qiuyue Li, Hong Zhong, Shuai Wang

“…The effects of different experimental parameters, including contact time, initial phosphate concentration, solution pH, and temperature on the phosphate adsorption were investigated. …”
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Screw Performance Degradation Assessment Based on Quantum Genetic Algorithm and Dynamic Fuzzy Neural Network by Xiaochen Zhang, Hongli Gao, Haifeng Huang

“…First, screw vibration signal features are extracted both in time domain and frequency domain. Then the feature vectors can be obtained by principal component analysis (PCA). …”
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Evaluation of MALDI-TOF Mass Spectrometry and Sepsityper Kit™ for the Direct Identification of Organisms from Sterile Body Fluids in a Canadian Pediatric Hospital by Manal Tadros, Astrid Petrich

“…Matrix-assisted laser desorption/ionization time of flight mass spectrometry (MALDI-TOF MS) can be used to identify bacteria directly from positive blood and sterile fluid cultures. …”
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Novel level shifter based physical unclonable function circuit design by Lijuan HAN, Lei QIAN, Enyi YAO, Xin LOU, Yuan CAO, Yanhua LIU

“…Level shifters are widely used in low-power, multi-threshold integrated circuit chips.A novel physical unclonable function (PUF) design based on cross-coupled level shifter was proposed.In this work, a single switching transistor was inserted in the level shifter, which was the only overhead per response bit to change the operation mode of the cross-coupled level shifter from differential to common.The signature of the PUF was extracted while in common mode, by exploiting the uncertainty of the output voltage due to the difference of the switching time of the two PMOS in the cross-coupled network.Simulated with a standard 65 nm CMOS process, the results show the proposed PUF can produce a uniqueness of 49.11% and a reliability of 96.09% with the power supply voltage ranged from 1.0 V to 1.5 V and 95.31% with the temperature ranged from -20 ℃ to 100 ℃.The energy per bit is only 0.72 pJ at a high throughput of 20 Mbit/s (1.2 V, 27 ℃).…”
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Fall Detection and Direction Judgment Based on Posture Estimation by Chunmiao Yuan, Pengju Zhang, Qingyong Yang, Jianming Wang

“…Therefore, we propose a video-based fall detection and direction judgment method based on human posture estimation for the first time. We predict the joint point coordinates of each human body through the posture estimation network, and then use the SVM classifier to detect falls. …”
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Fault Diagnosis of Wind Turbine Gearbox Based on Multisensor Data Fusion by Ruimin Zhang, Tao Zhou

“…The experimental results showed that the average training accuracy and the average test accuracy of GMO-KELM method were 100% and 95.58%, respectively, which were much higher than those of other methods. …”
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Numerical Laser Energy Deposition on Supersonic Cavity Flow and Sensor Placement Strategies to Control the Flow by Ibrahim Yilmaz, Selin Aradag

“…Laser energy with a magnitude of 100 mJ is deposited on the flow just above the cavity leading edge and up to 7 dB of reduction is obtained in the SPL values along the cavity back wall. …”
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Scimago Institutions Rankings for the Assessment of National Education System and Particular University by V. M. Galynsky, A. V. Zhuk

“…The article analyzes the results of the Scimago Institutions Rankings for the entire period of its existence and presents the detailed description of the rating methodology and necessary condition for the inclusion in the ranking list, i.e. the publication of more than 100 works by university stuff in the Scopus database. …”
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Design and implementation for partition dynamically vector quantization chip by YU Ning-mei, WANG Dong-fang, LIAO Yu-min, FU Yun-qiang

“…Partition dynamically vector quantization（PDVQ） chip was researched and produced to encode images.Before encoding,it first judged the correlation of the encoding image block,and then decided to choose the size of the image blocks.Test result shows that PDVQ chip can improve the compression rate to 27% in average by contrasting with the normal VQ,even to 64%.The size of the codebook in PDVQ chip was 256×16 byte,and all codevectors in the codebook were categorized by direction,in each category codebook codewords were sorted in the ascending order of their sum,this kind codebook architecture could reduce search range largely.The VLSI architecture of PDVQ chip was implemented based on Charter 0.35μm CMOS standard cell technology,its chip area was 2.08mm×2.08mm.Test result shows that,at 3.0V power supply,PDVQ chip can operate up to 100MHz.At this operation,its power dissipation is 295mW,and it can support real-time encoding application for 512×512 gray images at 30fame/s.…”
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Adsorption Characteristics of Acid Orange 10 from Aqueous Solutions onto Montmorillonite Clay by Manpreet Kaur, Monika Datta

“…Acid Orange 10 (AO 10) onto montmorillonite (MMT) and surfactant-modified MMT have been studied as a function of the dye concentration, the pH of the aqueous dye solution and the contact time. The dye adsorption efficiency of MMT was found to be much less than that of surfactant-modified MMT (CTAB-MMT and CPC-MMT), with 100% adsorption efficiency being observed for the removal of 160 ppm and 220 ppm of the dye by CTAB-MMT and CPC-MMT, respectively. …”
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EXTRA-FURNACE STEEL PROCESSING BY RECYCLED SECONDARY ALUMINUM WASTE by I. V. Tribushevskiy, B. M. Nemenenok, G. V. Rumiantseva, M. A. Kulik

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Maximization of Gain in Slow-Light Silicon Raman Amplifiers by Ivan D. Rukhlenko, Malin Premaratne, Govind P. Agrawal

“…We theoretically study the problem of Raman gain maximization in uniform silicon photonic-crystal waveguides supporting slow optical modes. For the first time, an exact solution to this problem is obtained within the framework of the undepleted-pump approximation. …”
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Salinity Preference in Hatchery-Reared Juvenile Red Drum by Daryl C. Parkyn, Debra J. Murie, Edward T. Sherwood

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Hybrid C18-Bonded Silica Phases: Application in Acetaminophen Adsorption by Carolina Feier Pinto, Fernando Silveira, Fernanda C. Stedile, João Henrique Z. dos Santos

“…Recovery results remained between 70% and 100%.…”
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Rasa Haus pada Pasien Gagal Jantung di Indonesia by Septa Meriana Lumbantoruan, Hsing-Mei Chen

“…Thirst was measure in thirst frequency (three items), thirst quality (seven items), thirst intensity (visual analog score 0-100 mm), and thirst distress (thirst distress scale in heart failure). …”
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A network traffic classification method based on random forest and improved convolutional neural network by Bensheng YUN, Xiaoya GAN, Yaguan QIAN

“…In order to improve the efficiency and reduce the complexity of network traffic classification model, a classification method based on random forest and improved convolutional neural network was proposed.Firstly, the random forest was used to evaluate the importance of each feature of network traffic, and the feature was selected according to the importance ranking.Secondly, AdamW optimizer and triangular cyclic learning rate were adopted to optimize the convolutional neural network classification model.Then, the model was built on Spark cluster to realize the parallelization of model training.Adopting triangular cyclic learning rate with constant cycle amplitude, the experimental results of selecting 1 024, 400, 256 and 100 most important features as input show that the model accuracy is improved to 97.68%, 95.84%, 95.03% and 94.22%, respectively.The 256 most important features were selected and the experimental results based on adopting different learning rates show that the learning rate with half the cycle amplitude works best, the accuracy of the model is improved to 95.25%, and training time of the model is reduced by nearly half.…”
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Assessment of the level of influence of oil exporting countries’ organizations on the world oil market by A. A. Laznik, T. S. Gordeeva

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