Event Index - an LHCb Event Search System

During LHC Run 1, the LHCb experiment recorded around $10^{11}$ collision events. This paper describes Event Index - an event search system. Its primary function is to quickly select subsets of events from a combination of conditions, such as the estimated decay channel or number of hits in a subdetector. Event Index is essentially Apache Lucene optimized for read-only indexes distributed over independent shards on independent nodes.Comment: Report for the proceedings of the CHEP-2015 conferenc

The impact of digitalization on physical culture and professional physical training of athletes in Russia

The purpose of this scientific article is to study the influence of digitalization processes on physical culture. The relevance of this work lies in the fact that modern trends in digitalization penetrate into all spheres of society, including the process of professional physical training of athletes and students of sports educational institutions. The hypothesis of the conducted scientific research is that the digitalization process has a huge impact on physical culture, and the novelties of scientific and technological revolution make it possible to develop new methods for professional physical training, as well as improve all main indicators of this educational activity. The article gives a definition of digitalization, outlines the process of professional physical training before the mass use of advanced digital tools and techniques, their essence and shortcomings. Besides the main tasks, which the educational sphere and society face, are given, their accomplishment being necessary for a radical transformation of this area of education and sports. It has been ascertained that the impactof digitalization on the educational sphere will increase exponentially in the future. Ignoring this fact, as well as continuing to use old methods of physical training in the educational sphere, may lead to a decline of the general professional level of training of our athletes

Sign Language Recognition Information System Development Using Wireless Technologies for People with Hearing Impairments

The article presents the development of a sign language recognition information system for people with hearing and / or voice impairments, allowing to improve the quality of life and interaction in society with other people. The device, software, functional blocks and information system subsystems are described. Examples of possible application and placement of the system in various spheres of public life are given. One of the types of implementation of the information system of gesture recognition is described in the local network. The system requirements are listed based on the characteristics of the life of the target audience of people and the life cycle of gesture recognition. The decomposition of information system subsystems was made on the basis of belonging to each of the program blocks: the client and the server

A Previously Uncharacterized Factor associated with Metabolism and Energy (FAME/C14orf105/CCDC198/1700011H14Rik) is related to Evolutionary Adaptation, Energy Balance, and Kidney Physiology

In this study we use comparative genomics to uncover a gene with uncharacterized function ( 1700011H14Rik/C14orf105/CCDC198 ), which we hereby name FAME (Factor Associated with Metabolism and Energy). We observe that FAME shows an unusually high evolutionary divergence in birds and mammals. Through the comparison of single nucleotide polymorphisms, we identify gene flow of FAME from Neandertals into modern humans. We conduct knockout experiments on animals and observe altered body weight and decreased energy expenditure in Fame knockout animals, corresponding to genome-wide association studies linking FAME with higher body mass index in humans. Gene expression and subcellular localization analyses reveal that FAME is a membrane-bound protein enriched in the kidneys. Although the gene knockout results in structurally normal kidneys, we detect higher albumin in urine and lowered ferritin in the blood. Through experimental validation, we confirm interactions between FAME and ferritin and show co-localization in vesicular and plasma membranes

In search for geroprotectors: in silico screening and in vitro validation of signalome-level mimetics of young healthy state

ABSTRACT Populations in developed nations throughout the world are rapidly aging, and the search for geroprotectors, or anti-aging interventions, has never been more important. Yet while hundreds of geroprotectors have extended lifespan in animal models, none have yet been approved for widespread use in humans. GeroScope is a computational tool that can aid prediction of novel geroprotectors from existing human gene expression data. GeroScope maps expression differences between samples from young and old subjects to aging-related signaling pathways, then profiles pathway activation strength (PAS) for each condition. Known substances are then screened and ranked for those most likely to target differential pathways and mimic the young signalome. Here we used GeroScope and shortlisted ten substances, all of which have lifespan-extending effects in animal models, and tested 6 of them for geroprotective effects in senescent human fibroblast cultures. PD-98059, a highly selective MEK1 inhibitor, showed both life-prolonging and rejuvenating effects. Natural compounds like N-acetyl-L-cysteine, Myricetin and Epigallocatechin gallate also improved several senescence-associated properties and were further investigated with pathway analysis. This work not only highlights several potential geroprotectors for further study, but also serves as a proof-of-concept for GeroScope, Oncofinder and other PAS-based methods in streamlining drug prediction, repurposing and personalized medicine

Vive la radiorésistance!: converging research in radiobiology and biogerontology to enhance human radioresistance for deep space exploration and colonization.

While many efforts have been made to pave the way toward human space colonization, little consideration has been given to the methods of protecting spacefarers against harsh cosmic and local radioactive environments and the high costs associated with protection from the deleterious physiological effects of exposure to high-Linear energy transfer (high-LET) radiation. Herein, we lay the foundations of a roadmap toward enhancing human radioresistance for the purposes of deep space colonization and exploration. We outline future research directions toward the goal of enhancing human radioresistance, including upregulation of endogenous repair and radioprotective mechanisms, possible leeways into gene therapy in order to enhance radioresistance via the translation of exogenous and engineered DNA repair and radioprotective mechanisms, the substitution of organic molecules with fortified isoforms, and methods of slowing metabolic activity while preserving cognitive function. We conclude by presenting the known associations between radioresistance and longevity, and articulating the position that enhancing human radioresistance is likely to extend the healthspan of human spacefarers as well

A method for predicting target drug efficiency in cancer based on the analysis of signaling pathway activation

A new generation of anticancer therapeutics called target drugs has quickly developed in the 21st century. These drugs are tailored to inhibit cancer cell growth, proliferation, and viability by specific interactions with one or a few target proteins. However, despite formally known molecular targets for every ?target? drug, patient response to treatment remains largely individual and unpredictable. Choosing the most effective personalized treatment remains a major challenge in oncology and is still largely trial and error. Here we present a novel approach for predicting target drug efficacy based on the gene expression signature of the individual tumor sample(s). The enclosed bioinformatic algorithm detects activation of intracellular regulatory pathways in the tumor in comparison to the corresponding normal tissues. According to the nature of the molecular targets of a drug, it predicts whether the drug can prevent cancer growth and survival in each individual case by blocking the abnormally activated tumor-promoting pathways or by reinforcing internal tumor suppressor cascades. To validate the method, we compared the distribution of predicted drug efficacy scores for five drugs (Sorafenib, Bevacizumab, Cetuximab, Sorafenib, Imatinib, Sunitinib) and seven cancer types (Clear Cell Renal Cell Carcinoma, Colon cancer, Lung adenocarcinoma, non-Hodgkin Lymphoma, Thyroid cancer and Sarcoma) with the available clinical trials data for the respective cancer types and drugs. The percent of responders to a drug treatment correlated significantly (Pearson?s correlation 0.77 p=0.023) with the percent of tumors showing high drug scores calculated with the current algorithm