Novel Complete Probabilistic Models of Random Variation in High Frequency Performance of Nanoscale MOSFET by Rawid Banchuin

“…The novel probabilistic models of the random variations in nanoscale MOSFET's high frequency performance defined in terms of gate capacitance and transition frequency have been proposed. …”
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Ontogenic Development of Th1 and Th2 Cytokine Capabilities in Random Bred Mice by Sandra L. Nehlsen-Cannarella, Omar R. Fagoaga

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An open-label, randomized, post-authorization study of mirabegron in Chinese participants with overactive bladder by Zhipeng Zhang, Deyi Luo, Zhong Chen, Peng Zhang, Ganping Zhong, Keji Xie, Zhuoqun Xu, Xudong Li, Jianye Wang, Yingfan Yang, Farid Abdul Hadi, Arianne Schild

“…Results: Statistically significant reduction (p<0.001) from baseline to Week 12 was observed in mean micturitions per 24 h for participants randomized to mirabegron 50 mg/day: mean±standard error: 11.71±0.43 at baseline, 7.80±0.24 at Week 12; adjusted mean change: −3.73 (95% confidence interval −4.30 to −3.16). …”
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Upper Semicontinuity of Attractors for a Non-Newtonian Fluid under Small Random Perturbations by Jianxin Luo

“…This paper investigates the limiting behavior of attractors for a two-dimensional incompressible non-Newtonian fluid under small random perturbations. Under certain conditions, the upper semicontinuity of the attractors for diminishing perturbations is shown.…”
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Estimation of a Finite Population Mean under Random Nonresponse Using Kernel Weights by Nelson Kiprono Bii, Christopher Ouma Onyango, John Odhiambo

“…Regression models have been recognized as one of the techniques of reducing bias and variance due to random nonresponse using auxiliary data. In this study, it is assumed that random nonresponse occurs in the survey variable in the second stage of cluster sampling, assuming full auxiliary information is available throughout. …”
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Random non-proportional fatigue tests with planar tri-axial fatigue testing machine by T. Inoue, R. Nagao, N. Takeda

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A Novel Algorithm of Quantum Random Walk in Server Traffic Control and Task Scheduling by Dong Yumin, Xiao Shufen

“…We introduce the method of random walk and illuminate what the quantum random walk is. …”
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Formulas for Rational-Valued Separability Probabilities of Random Induced Generalized Two-Qubit States by Paul B. Slater, Charles F. Dunkl

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Serum Matrix Metalloproteinases and Risk of Urologic Cancers: A Bidirectional Mendelian Randomization Study by BoWen Yang, XiaoYu Zeng, HanYu Wang, JiuHuan Feng, ShuFang Hou

“…Using data from large-scale genome-wide association studies (GWAS), we employed two-sample Mendelian randomization (MR) methods to assess the causal relationship between serum MMPs and urologic cancers. …”
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Generalizability of Randomized Clinical Trial Outcomes for Diabetes Control Resulting From Bariatric Surgery by Edward H. Livingston, MD, FACS, AGAF, Hila Zelicha, RD, PhD, Erik P. Dutson, MD, Zhaoping Li, MD, PhD, Matthew L. Maciejewski, PhD, Yijun Chen, MD

“…To assess the external validity of randomized controlled trials (RCTs) of bariatric surgical treatment on diabetes control. …”
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Dynamic Average Consensus and Consensusability of General Linear Multiagent Systems with Random Packet Dropout by Wen-Min Zhou, Jiang-Wen Xiao

“…This paper is concerned with the consensus problem of general linear discrete-time multiagent systems (MASs) with random packet dropout that happens during information exchange between agents. …”
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Discriminating neural ensemble patterns through dendritic computations in randomly connected feedforward networks by Bhanu Priya Somashekar, Upinder Singh Bhalla

“…We combined theory and simulations to assess the likelihood of whether projections from neural ensembles could converge onto synaptic clusters even in networks with random connectivity. Using rat hippocampal and cortical network statistics, we show that clustered convergence of axons from three to four different co-active ensembles is likely even in randomly connected networks, leading to representation of arbitrary input combinations in at least 10 target neurons in a 100,000 population. …”
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EXPONENTIAL DICHOTOMY OF DISCRETE TIME LINEAR SYSTEMS WITH MARKOVIAN JUMPS AND INDEPENDENT RANDOM PERTURBATIONS by Viorica Mariela UNGUREANU, Carmen Iuliana BĂRBĂCIORU

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Extended Precise Large Deviations of Random Sums in the Presence of END Structure and Consistent Variation by Shijie Wang, Wensheng Wang

“…The study of precise large deviations of random sums is an important topic in insurance and finance. …”
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Methods, algorithms and programs of computer algebra in problems of registration and analysis of random point structures by A.L. Reznik, A.A. Soloviev

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Investigation of a Random-Fractal Antenna Based on a Natural Tree-Leaf Geometry by Hatem Rmili, Donia Oueslati, Imen Ben Trad, Jean Marie Floch, Abdullah Dobaie, Raj Mittra

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Dual role of Cathepsin S in cutaneous melanoma: insights from mendelian randomization and bioinformatics analysis by Linsa Zhou, Qiang Zhou, Qian Guo, Peng Lai, Chen Rui, Wanqing Li, Xuemei Chen, Yue Zhuo, Xiaoping Zhong, Sen Lin

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Effect of trace elements and nutrients on 21 autoimmune diseases: a Mendelian randomization study by Ming-Jie Jia, Hua-Fang Yin, Ying-Chao Liang, Feng Jiang, Hui-Lin Li, Hui-Lin Li

Subjects: “…Mendelian randomization…”
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Brooks, David. The Social Animal. New York: Random House, 2012. 382 pp. by Rodrigo Mora

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Financial Data Anomaly Detection Method Based on Decision Tree and Random Forest Algorithm by Qingyang Zhang

“…Simulation experiments show that compared with the other two distance-based abnormal sample detection techniques, the random forest-based abnormal sample detection has greater advantages than the other two methods in terms of improving the accuracy of the model and reducing the computing time.…”
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