Fog computing based radio access networks：architecture，principles and challenges by Bonan YIN, Yuan AI, Mugen PENG

“…To reduce the burden of fronthaul link，avoid large-scale wireless signal processing in centralized baseband unit（BBU）pool，and take full advantage of processing and storage capabilities in edge devices，a fog computing based radio access network（F-RAN）was presented as an evolution form of heterogeneous cloud radio access networks.The core idea of F-RAN was to take full advantage of processing and storage capabilities in edge devices which could achieve the local distributed content delivery，the local distributed collaboration radio signal processing and the local distributed cooperative radio resource management functions.System architectures of F-RAN，promising key techniques，and researching open issues of F-RAN were discussed in detail.…”
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IMPROVING THE ACCOUNTING AND DISTRIBUTION OF OVERHEAD COSTS BASED ON THE USE OF FUNCTIONAL COST ACCOUNTING AND ABC SYSTEM by G. A. Adamova, L. Sh. Zhafyarova

“…Along with that, the authors analysed the difficulties associated with the practical implementation of the functional approach in the accounting and distribution of overhead costs, in particular with the detailed information in the context of operations and cost pools.…”
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Recent Advances in Thoracic X-Ray Computed Tomography for Pulmonary Imaging by Bruce J Precious, Rekha Raju, Jonathon Leipsic

“…Dual-energy CT has proven to be useful in the characterization of pulmonary blood pool in the setting of pulmonary embolism, characterization of diffuse lung parenchymal diseases, evaluation of thoracic malignancies and in imaging of lung ventilation using inhaled xenon. …”
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Le projet comme dynamique de l’élaboration d’une compétence collective chez une équipe d’enseignants du premier degré by Sylviane Blanc-Maximin, Chantal Eymard

“…Research into the benefits of pooling skills is available in the corporate world, but still fairly uncommon in the teaching one. …”
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Complex Vascular Reconstruction of an En Bloc Pediatric Kidney Damaged during Organ Procurement by Juliano Riella, Marina M. Tabbara, Phillipe Abreu, Javier Gonzalez, Gaetano Ciancio, José Maria Figueiro

“…En bloc pediatric kidney (EBPK) allografts are a potential solution to expand the organ donor pool; however, EBPK transplantation has been traditionally considered suboptimal due to concerns of perioperative vascular and urologic complications. …”
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Metal Concentrations in Soil Paste Extracts as Affected by Extraction Ratio by Filip M.G. Tack, Nic Dezillie, Marc G. Verloo

“…Trace metals behaved as if a small pool consistently was dissolved independent of the extraction ratio applied. …”
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Relationships between genomic dissipation and de novo SNP evolution. by Zackery E Plyler, Christopher W McAtee, Aubrey E Hill, Michael R Crowley, Janice M Tindall, Samuel R Tindall, Disha Joshi, Eric J Sorscher

“…A functional and phenotypic analysis based on evolutionary resilience of DNA points to decreased numbers of non-synonymous SNPs in human and other genomes, with a predominant component of SNP depletion in the human gene pool caused by robust preferences during de novo SNP formation (rather than selective constraint). …”
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On Modeling and Constrained Model Predictive Control of Open Irrigation Canals by Lihui Cen, Ziqiang Wu, Xiaofang Chen, Yanggui Zou, Shaohui Zhang

“…Based on the prediction model, a constrained model predictive control was firstly investigated for the case of one single-pool canal and then generalized to the case of a cascaded canal with multipools. …”
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Modeling Public Opinion Over Time and Space: Trust in State Institutions in Europe, 1989-2019 by Marta Kołczyńska, Paul-Christian Bürkner, Lauren Kennedy, Aki Vehtari

“…The analytic strategy we propose relies on Bayesian explanatory item response theory models to address differences in the measurement of attitudes, and poststratification that uses administrative population data to improve the quality of estimates and correct for differences in sample representativeness. Partially pooled models with data from all countries would be prohibitively slow, so we estimate separate by-country models in a way that maintains comparability of estimates across countries. …”
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Élaboration d’une formation à l’affilage des couteaux : Le travail d’un collectif, travailleurs et ergonomes by Nicole Vézina, Johanne Prévost, Alain Lajoie, Yves Beauchamp

“…Knowledge and expertise was pooled at a series of meetings of different types. …”
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Application of Surfactants in Commercial Crop Production for Water and Nutrient Management in Sandy Soil by Guodong Liu, Monica Ozores-Hampton, Gene McAvoy, Ben Hogue, Crystal A. Snodgrass

“…On these soils, water may simply pool on the surface or may move down preferred pathways, leaving large amounts of soil dry even when a large volume of water is applied. …”
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Mycobacterial Infections in AIDS by A Ross Hill

“…Tuberculosis (TB) remains uniquely important among acquired immune deficiency syndrome (AIDS)-associated opportunistic infections: it presents the greatest public health hazard worldwide, is the most readily curable, and is largely preventable with existing means. Given the expanding pool of human immunodeficiency virus (HIV) seropositive persons, particularly in developing nations where Mycobacterium tuberculosis remains a leading health problem, one can expect a continued rise in TB cases during the 1990s. …”
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Construction of Basic Network in Data Center Based on SDN Technology by Qiang Wu, Xin Xu, Guoyan Liu

“…By appling SDN technology in data center, the resource was aggregated to become an ability pool through abstracting the hardware resource by using the intelligent software, which makes network more like software and more agility, and provides automatic, safe, flexible and effective scheduling resources ability to meet the cloud computing data center. …”
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ICO AND STO AS MODERN TOOLS FOR CROWDFUNDING STARTUPS by A. V. Kozhanova

“…A new way of attracting capital by startups based on the blockchain such as ICO (initial coin offering) is similar to crowdfunding, selling produced tokens to the pool of investors. With the assistance of this source, startups collected 22 billion dollars in 2018, but in 2019 the market began to fall, so many researchers noted the danger of the ICO bubble. …”
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A differential feedback scheduling decision algorithm based on mimic defense by Ming GAO, Jin LUO, Huiying ZHOU, Hai JIAO, Lili YING

“…Firstly, according to the heterogeneity of the executive set in the scheduling algorithm and the security defense coefficient, the scheduler suitable for the mimic defense scenario was selected from the executive pool, and then the decider was selected according to the reliability coefficient of the decision algorithm and the majority decision algorithm. …”
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Application of RQMC for CDO Pricing with Stochastic Correlations under Nonhomogeneous Assumptions by Shuanghong Qu, Lingxian Meng, Hua Li

“…In consideration of that the correlation between any two assets of the asset pool is always stochastic in the actual market and that collateralized debt obligation (CDO) pricing models under nonhomogeneous assumptions have no semianalytic solutions, we designed a numerical algorithm based on randomized quasi-Monte Carlo (RQMC) simulation method for CDO pricing with stochastic correlations under nonhomogeneous assumptions and took Gaussian factor copula model as an example to conduct experiments. …”
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A Bayesian approach to discrete multiple outcome network meta-analysis. by Rebecca Graziani, Sergio Venturini

“…The remaining elements of the hierarchial random effects model are specified in a standard way, with the logit of the success probabilities given by the sum of a baseline log-odds and random effects comparing the log-odds of each treatment against the reference and having a Gaussian distribution centered at the vector of pooled effects. An adaptive Markov Chain Monte Carlo algorithm is devised for running posterior inference. …”
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Intelligent security relay selection for full duplex wireless communications by Fang LIU, Yajuan WANG, Zhengrong LAI, Yuan’an LIU

“…Full-duplex can double the spectrum efficiency theoretically.Thus it can further improve the spectrum efficiency when it is used in the relay systems.Considering the residual self-interference and signal-to-noise ratio,a problem was set to maximize the security capacity by selecting the optimal relay.This optimization problem was transformed into multi-classification problem.Thus a convolutional neural network (CNN)-based intelligent relay selection scheme was proposed.In the design of the classification model,the CNN was used to extract the spatial correlation of the channel,and the dimension of the convolution kernel was related to the number of relays.The pooling layer was not used to preserve the matrix characteristics of the input features.The simulation results show that the proposed CNN-based intelligent selection classification model has high classification accuracy,and can obtain the same security performance as the traditional exhaustive search scheme,and the real-time performance is significantly improved.…”
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Du « je » au « nous ». Le Théâtre de l’opprimé comme grammaire d’une parole collective by Sophie Coudray

“…Its method allows an overtaking of the individual narrative in order to work towards a pooling, which is essential for critical reflection and the development of a political discourse that anyone can carry on stage on behalf of everyone. …”
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Improving deep convolutional neural networks with mixed maxout units by Hui-zhen ZHAO, Fu-xian LIU, Long-yue LI, Chang LUO

“…The maxout units have the problem of not delivering non-max features， resulting in the insufficient of pooling operation over a subspace that is composed of several linear feature mappings,when they are applied in deep convolutional neural networks.The mixed maxout (mixout) units were proposed to deal with this constrain.Firstly,the exponential probability of the feature mappings getting from different linear transformations was computed.Then,the averaging of a subspace of different feature mappings by the exponential probability was computed.Finally,the output was randomly sampled from the max feature and the mean value by the Bernoulli distribution,leading to the better utilizing of model averaging ability of dropout.The simple models and network in network models was built to evaluate the performance of mixout units.The results show that mixout units based models have better performance.…”
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