Transformation of surface and internal waves on a bottom step

A brief overview of works on transformation of surface and internal gravity waves over a bottom step is presented. The generalization of Lamb formulae for the transformation coefficients derived in the longwave approximation is discussed for waves of arbitrary length in the fluid of a finite length. The rigorous approach to calculation of transformation coefficients in the linear approximation is described both for the surface and internal waves in two-layer fluid. The problems associated with the application of the rigorous approach are noticed. The various approximate approaches are considered, as well as their compliance with the rigorous theory and numerical and experimental results. Within the framework of the rigorous approach the transformation coefficients of travelling waves and the excitation coefficients of evanescent modes are calculated. It is shown that wavelength of a quasi-monochromatic wavetrain changes after transformation on a bottom step proportionally to the phase speed, whereas the length of the envelope changes proportionally to the group speed. Comparison of theoretical results with numerical data and laboratory experiments is presented

Optimization Model for the Russian Electric Power Generation Structure to Reduce Energy Intensity of the Economy

In the context of high energy intensity of the country's economy, contributing to a decrease in the industry competitiveness of the Russian Federation, it is relevant to develop scientific approaches to energy efficiency provision. The article is aimed at stimulating the optimal structure of electric power generation in Russia, promoting energy conservation and lowering energy intensity of the economy. The Cobb-Douglas production function was used to determine the dependence of the gross electric output on such production factors as labor costs and capital. Based on the expert evaluation method, the sources of electricity generation were differentiated according to the level of labor intensity. An optimization model has been developed for electric power generation structure in Russia in the context of actual energy generation sources: nuclear power plants; natural gas fired thermal power plants , coal and fuel oil fired power plants; hydropower plants; solar power plants; wind power plants; tidal power plants; and biofuel power plants. The percentage changes in the consumption of energy resources and power generation, ensuring a decrease in the energy intensity of the Russian Gross Domestic Product by 19.1%, are argued. The system of optimization measures has been substantiated; their practical implementation will contribute to the steady decline in energy intensity of the Russian economy, effective energy consumption and the growth of the country's energy potential, with regard to ensuring structural changes in the energy sector. Keywords: Energy Intensity of the Russian Economy, Energy Resources, Optimization Model for Electric Power Generation Structure, Power Industry, Economic Energy Efficiency JEL Classifications: Q4; L16; L52 DOI: https://doi.org/10.32479/ijeep.755

A comprehensive assessment of somatic mutation detection in cancer using whole-genome sequencing.

As whole-genome sequencing for cancer genome analysis becomes a clinical tool, a full understanding of the variables affecting sequencing analysis output is required. Here using tumour-normal sample pairs from two different types of cancer, chronic lymphocytic leukaemia and medulloblastoma, we conduct a benchmarking exercise within the context of the International Cancer Genome Consortium. We compare sequencing methods, analysis pipelines and validation methods. We show that using PCR-free methods and increasing sequencing depth to ∼ 100 × shows benefits, as long as the tumour:control coverage ratio remains balanced. We observe widely varying mutation call rates and low concordance among analysis pipelines, reflecting the artefact-prone nature of the raw data and lack of standards for dealing with the artefacts. However, we show that, using the benchmark mutation set we have created, many issues are in fact easy to remedy and have an immediate positive impact on mutation detection accuracy.We thank the DKFZ Genomics and Proteomics Core Facility and the OICR Genome Technologies Platform for provision of sequencing services. Financial support was provided by the consortium projects READNA under grant agreement FP7 Health-F4-2008-201418, ESGI under grant agreement 262055, GEUVADIS under grant agreement 261123 of the European Commission Framework Programme 7, ICGC-CLL through the Spanish Ministry of Science and Innovation (MICINN), the Instituto de Salud Carlos III (ISCIII) and the Generalitat de Catalunya. Additional financial support was provided by the PedBrain Tumor Project contributing to the International Cancer Genome Consortium, funded by German Cancer Aid (109252) and by the German Federal Ministry of Education and Research (BMBF, grants #01KU1201A, MedSys #0315416C and NGFNplus #01GS0883; the Ontario Institute for Cancer Research to PCB and JDM through funding provided by the Government of Ontario, Ministry of Research and Innovation; Genome Canada; the Canada Foundation for Innovation and Prostate Cancer Canada with funding from the Movember Foundation (PCB). PCB was also supported by a Terry Fox Research Institute New Investigator Award, a CIHR New Investigator Award and a Genome Canada Large-Scale Applied Project Contract. The Synergie Lyon Cancer platform has received support from the French National Institute of Cancer (INCa) and from the ABS4NGS ANR project (ANR-11-BINF-0001-06). The ICGC RIKEN study was supported partially by RIKEN President’s Fund 2011, and the supercomputing resource for the RIKEN study was provided by the Human Genome Center, University of Tokyo. MDE, LB, AGL and CLA were supported by Cancer Research UK, the University of Cambridge and Hutchison-Whampoa Limited. SD is supported by the Torres Quevedo subprogram (MI CINN) under grant agreement PTQ-12-05391. EH is supported by the Research Council of Norway under grant agreements 221580 and 218241 and by the Norwegian Cancer Society under grant agreement 71220-PR-2006-0433. Very special thanks go to Jennifer Jennings for administrating the activity of the ICGC Verification Working Group and Anna Borrell for administrative support.This is the final version of the article. It first appeared from Nature Publishing Group via http://dx.doi.org/10.1038/ncomms1000

Comparison of carnivore, omnivore, and herbivore mammalian genomes with a new leopard assembly.

BACKGROUND: There are three main dietary groups in mammals: carnivores, omnivores, and herbivores. Currently, there is limited comparative genomics insight into the evolution of dietary specializations in mammals. Due to recent advances in sequencing technologies, we were able to perform in-depth whole genome analyses of representatives of these three dietary groups. RESULTS: We investigated the evolution of carnivory by comparing 18 representative genomes from across Mammalia with carnivorous, omnivorous, and herbivorous dietary specializations, focusing on Felidae (domestic cat, tiger, lion, cheetah, and leopard), Hominidae, and Bovidae genomes. We generated a new high-quality leopard genome assembly, as well as two wild Amur leopard whole genomes. In addition to a clear contraction in gene families for starch and sucrose metabolism, the carnivore genomes showed evidence of shared evolutionary adaptations in genes associated with diet, muscle strength, agility, and other traits responsible for successful hunting and meat consumption. Additionally, an analysis of highly conserved regions at the family level revealed molecular signatures of dietary adaptation in each of Felidae, Hominidae, and Bovidae. However, unlike carnivores, omnivores and herbivores showed fewer shared adaptive signatures, indicating that carnivores are under strong selective pressure related to diet. Finally, felids showed recent reductions in genetic diversity associated with decreased population sizes, which may be due to the inflexible nature of their strict diet, highlighting their vulnerability and critical conservation status. CONCLUSIONS: Our study provides a large-scale family level comparative genomic analysis to address genomic changes associated with dietary specialization. Our genomic analyses also provide useful resources for diet-related genetic and health research

Transformation of waves over a bottom step

The book summarizes the results of research of processes of transformation of surface and internal gravity waves of small amplitude over a bottom step, which approximates sharp shelf upswing of bottom. The book is meant for the specialists in the the fields of oceanology, fluid mechanics, applied mathematics, and water wave physics, as well as for students studying these subjects

Optimizing HPC Applications with Intel Cluster Tools

Computer scienc

Optimizing HPC applications with Intel cluster tools

Optimizing HPC Applications with Intel® Cluster Tools takes the reader on a tour of the fast-growing area of high performance computing and the optimization of hybrid programs. These programs typically combine distributed memory and shared memory programming models and use the Message Passing Interface (MPI) and OpenMP for multi-threading to achieve the ultimate goal of high performance at low power consumption on enterprise-class workstations and compute clusters.The book focuses on optimization for clusters consisting of the Intel® Xeon processor, but the optimization methodologies also apply to the Intel® Xeon Phi™ coprocessor and heterogeneous clusters mixing both architectures. Besides the tutorial and reference content, the authors address and refute many myths and misconceptions surrounding the topic. The text is augmented and enriched by descriptions of real-life situations