bluuebunny/crossref_metadata_2025_split huggingface dataset:
The use of greases with ultrafine diamond-graphite powder to reduce a fatigue wear of rolling bearings
Authors: Dokshanin S G , Tynchenko V S , Bukhtoyarov V V 
Published: June 2019

Abstract
The present paper shows the results of studies on the use of the plastic lubricants with ultrafine diamond-graphite powder in rolling bearings. Even with a short-term tightening of the operating mode, it is possible to establish a friction boundary mode by squeezing the lubricant out of the rolling parts contact zone with the ring tracks, which leads to an increase in the friction torque and temperature. Reducing slippage, lowering the working temperature, limiting the friction torque can be achieved by improving the antiwear and anti-friction properties of the lubricants used. Tribological studies have established that the introduction of the ultrafine diamond-graphite powder into the composition of basic industrial lubricants significantly improves their performance. The introduction of ultrafine diamond-graphite powder into a lubricant reduces the amount of rolling bearings wear up to 1.6–1.8 times, reduces the amount of friction torque to 23–25%. The presence of a lubricant that can significantly reduce friction forces, reduces the amount of internal stresses and delays the fatigue cracks progress, which allows to increase the service life of rolling bearings by 1.5–2 times.
Intellectualization of the technological processes of permanent joints formation at the rocket-space enterprises
Authors: Tynchenko V S 
Published: June 2019

Abstract
The paper deals with the problem of improving the quality of the technological processes of permanent joints formation at rocket-space enterprises. In the course of the study, an analysis of modern technologies for the permanent joints formation of spacecraft elements at the enterprises of rocket-space industry in Russia was conducted, as a result of which the main problems were identified. The analysis made it possible to set the tasks of intellectualization of such production processes as induction soldering, electron-beam welding and diffusion welding. As an algorithmic solution to the assigned tasks, the use of modern intellectual methods is proposed, which allows solving the problem of control in the context of incomplete information on the parameters of the technological process, as well as its complete absence.
Spacecraft onboard equipment testing automation technology on the basis of simulation model
Authors: Isaeva Olga , Nozhenkova Ludmila 
Published: June 2019

Abstract
This article presents the technology of preparation and execution of functional control of spacecraft onboard equipment on the basis of an intelligent simulation model. The technology includes implementation of the methods of test procedures’ generation and analysis of the results in accordance with the simulation model’s precedents. This technology allows you to analyze characteristics of the test objects on models with further analysis of the real equipment operation.
Method and device for testing the parameters of the wire from NiTi alloy in the high-temperature manufacturing process with use an inert gas
Authors: Galagan R , Muraviov A , Tomashuk A 
Published: June 2019

Abstract
NiTi alloy is a shape memory alloy that can be applied in various fields of science and technology. The use of NiTi alloy wires in the design of the engine reduces energy consumption to drive the engine mechanisms and improve economic efficiency in general. In this paper, we propose a method and improved design of an optical device to check the diameter and temperature of the surface of the NiTi wire at high temperature during its manufacture in an inert atmosphere. Brief information about high-temperature manufacturing processes of extended cylindrical products is given. The monitoring algorithm for both parameters of the wire was proposed and the main errors was deduced. The required temperature range for the NiTi alloy at a wire die-less drawing is determined.
Development of a non-explosive water source of seismic acoustic waves with an electromagnetic drive to automate the work in transit zones and in shallow water
Authors: Kudinov D S , Maikov O A , Romanov V V , Kokhonkova E A 
Published: June 2019

Abstract
The paper examines the theoretical aspects of the excitation of seismic waves in the aquatic environment, addresses the problems of instrumental implementation of a fundamentally new source of seismic vibrations that can work in the waters, in tidal and coastal zones, i.e. produce continuous seismic profiling from the water area to the land. The scientific substantiation of the developed SI design is given. The effectiveness of two polar excitation of the aquatic environment is evaluated in comparison with the water electromagnetic pulse sources of the Yenisei series. The comparative analysis results of SR experimental model effectiveness with VEM-50 production model of the “Yenisei” model range is given on the basis of experimental data obtained at the geophysical well of the testing and testing ground of the Siberian Federal University.
Automatic calculation of left ventricular volume in magnetic resonance imaging using an image-based clustering approach
Authors: Ivanov Ilia , Lomaev Yuri , Barkovskaya Alexandra 
Published: June 2019

AbstractIn this work we propose an algorithm to automate the process of left ventricular (LV) volume calculation during magnetic resonance imaging (MRI) analysis. The proposed algorithm does the LV segmentation, volume calculation, finds the time frames where the heart is in systole and diastole phase, and calculates LV ejection fraction. The proposed approach has been tested on a dataset containing MRI study results of 500 patients. According to experimental results the root mean square error of LV systolic volume calculation is 21.64 ml, LV diastolic volume - 44.92 ml, ejection fraction - 7.96 %.
New method of training two-layer sigmoid neural networks using regularization
Authors: Krutikov V N , Kazakovtsev L A , Shkaberina G Sh , Kazakovtsev V L 
Published: June 2019

Abstract
We propose a complex learning algorithm for sigmoid Artificial Neural Networks (ANN). We introduce the concept of the working area of a neuron for sigmoid ANNs in the form of a band in the attribute space, its width and location associated with the center line of the band to a fixed point. We define of the centers and widths of the working areas of neurons by analogy to the radial ANNs. On this basis, an algorithm for selecting the initial approximation of network parameters, ensuring uniform coverage of the data area with neuron working areas was developed. Network learning is carried out using a non-smooth regularizer designed to smooth and remove non-informative neurons. The results of the computational experiment illustrate the efficiency of the proposed integrated approach.
A modified particle swarm optimization algorithm for location problem
Authors: Osinuga I A , Bolarinwa A A , Kazakovtsev L A 
Published: June 2019

Abstract
In the Weber location problem which was proposed for optimal location of industrial enterprises, the aim is to find the location of a point such that the sum of weighted distance between this point and a finite number of existing points is minimized. This popular model is widely used for optimal location of equipment and in many sophisticated models of cluster analysis such as detecting homogeneous production batches made from a single production batch of raw materials. The well-known iterative Weiszfeld does not converge efficiently to the optimal solution when the solution either coincides or nearly coincides with one of the demands point which is not the optimum. We propose a modified Particle Swarm Optimization (PSO) algorithm. The velocity update of the PSO is modified to enlarge the search space and enhance the global search ability. The preliminary results of these algorithms are analyzed and compared.
Model of the agricultural engineering enterprise innovation program development
Authors: Shaporova Z E , Tsvettsykh A V 
Published: June 2019

Abstract
Changes in the economic and technological conditions of functioning of the agro-industrial complex of Russia impose new requirements on the production potential of agricultural engineering enterprises. It becomes necessary to implement innovative projects that create prerequisites for a successful transition of enterprises to the export model of activity. The solution of this task is possible only on the basis of the production of innovative technologies and equipment that increase labour productivity, reduce the costs of material and labour resources in the production of an enterprise of the agro-industrial complex. The paper proposes a mathematical model for the formation of an effective innovation program for an agricultural engineering enterprise. The main criteria for an effective innovation program were: maximization of the net, reduced result of the innovation program, compliance of the innovative technology and technologies (innovation projects) being implemented to the requirements of high energy efficiency, productivity (productivity). These criteria make it possible to assess the effect of integration as the main feature of strategic synergies achieved in the formation of an innovative program involving the implementation of mutually complementary innovative projects.
Surface waves with negative phase velocity supported by temperature-dependent hyperbolic materials
Authors: Mackay Tom G , Lakhtakia Akhlesh 
Published: June 2019

Abstract
A numerical investigation was undertaken to elucidate the propagation of electromagnetic surface waves guided by the planar interface of two temperature-sensitive materials. One partnering material was chosen to be isotropic and the other to be anisotropic. Both partnering materials were engineered composite materials, based on the temperature-sensitive semiconductor InSb. At low temperatures the anisotropic partnering material is a non-hyperbolic uniaxial material; as the temperature is raised this material becomes a hyperbolic uniaxial material. At low temperatures, a solitary Dyakonov wave propagates along any specific direction in a range of directions parallel to the planar interface. At high temperatures, up to three different surface waves can propagate in certain directions parallel to the planar interface; one of these surface waves propagates with negative phase velocity (NPV). At a fixed temperature, the range of directions for NPV propagation decreases uniformly in extent as the volume fraction of InSb in the isotropic partnering material decreases. At a fixed volume fraction of InSb in the isotropic partnering material, the angular range for NPV propagation varies substantially as the temperature varies.
Public Transportation Use and Cognitive Function in Older Age: A Quasiexperimental Evaluation of the Free Bus Pass Policy in the United Kingdom
Authors: Reinhard Erica , Carrino Ludovico , Courtin Emilie , van Lenthe Frank J , Avendano Mauricio 
Published: June 2019

Abstract
In this quasiexperimental study, we examined whether the introduction of an age-friendly transportation policy—free bus passes for older adults—increased public transport use and in turn affected cognitive function among older people in England. Data came from 7 waves (2002–2014) of the English Longitudinal Study of Ageing (n = 17,953), which measured total cognitive function, memory, executive function, and processing speed before and after the bus pass was introduced in 2006. The analytical strategy was an instrumental-variable approach with fixed effects, which made use of the age-eligibility criteria for free bus passes and addressed bias due to reverse causality, measurement error, and time-invariant confounding. Eligibility for the bus pass was associated with a 7% increase in public transport use. The increase in public transportation use was associated with a 0.346 (95% confidence interval: 0.017, 0.674) increase in the total cognitive function z score and with a 0.546 (95% confidence interval: 0.111, 0.982) increase in memory z score. Free bus passes were associated with an increase in public transport use and, in turn, benefits to cognitive function in older age. Public transport use might promote cognitive health through encouraging intellectually, socially, and physically active lifestyles. Transport policies could serve as public health tools to promote cognitive health in aging populations.
svtools: population-scale analysis of structural variation
Authors: Larson David E , Abel Haley J , Chiang Colby , Badve Abhijit , Das Indraniel , Eldred James M , Layer Ryan M , Hall Ira M 
Published: June 2019

AbstractSummaryLarge-scale human genetics studies are now employing whole genome sequencing with the goal of conducting comprehensive trait mapping analyses of all forms of genome variation. However, methods for structural variation (SV) analysis have lagged far behind those for smaller scale variants, and there is an urgent need to develop more efficient tools that scale to the size of human populations. Here, we present a fast and highly scalable software toolkit (svtools) and cloud-based pipeline for assembling high quality SV maps—including deletions, duplications, mobile element insertions, inversions and other rearrangements—in many thousands of human genomes. We show that this pipeline achieves similar variant detection performance to established per-sample methods (e.g. LUMPY), while providing fast and affordable joint analysis at the scale of ≥100 000 genomes. These tools will help enable the next generation of human genetics studies.Availability and implementationsvtools is implemented in Python and freely available (MIT) from https://github.com/hall-lab/svtools.Supplementary informationSupplementary data are available at Bioinformatics online.
Microbial dysbiosis and polyamine metabolism as predictive markers for early detection of pancreatic cancer
Authors: Mendez Roberto , Kesh Kousik , Arora Nivedita , Di Martino Leá , McAllister Florencia , Merchant Nipun , Banerjee Sulagna , Banerjee Santanu 
Published: June 2019

AbstractThe lack of tools for early detection of pancreatic ductal adenocarcinoma (PDAC) is directly correlated with the abysmal survival rates in patients. In addition to several potential detection tools under active investigation, we tested the gut microbiome and its metabolic complement as one of the earliest detection tools that could be useful in patients at high risk for PDAC. We used a combination of 16s rRNA pyrosequencing and whole-genome sequencing of gut fecal microbiota in a genetically engineered PDAC murine model (KRASG12DTP53R172HPdxCre or KPC). Metabolic reconstruction of microbiome was done using the HUMAnN2 pipeline. Serum polyamine levels were measured from murine and patient samples using chromogenic assay. Our results showed a Proteobacterial and Firmicutes dominance in gut microbiota in early stages of PDAC development. Upon in silico reconstruction of active metabolic pathways within the altered microbial flora, polyamine and nucleotide biosynthetic pathways were significantly elevated. These metabolic products are known to be actively assimilated by the host and eventually utilized by rapidly dividing cells for proliferation validating their importance in the context of tumorigenesis. In KPC mice, as well as PDAC patients, we show significantly elevated serum polyamine concentrations. Therefore, at the early stages of tumorigenesis, there is a strong correlation between microbial changes and release of metabolites that foster host tumorigenesis, thereby fulfilling the ‘vicious cycle hypothesis’ of the role of microbiome in health and disease states. Our results provide a potential, precise, noninvasive tool for early detection of PDAC, which may result in improved outcomes.
The H1047R PIK3CA oncogene induces a senescence-like state, pleiotropy and acute HSP90 dependency in HER2+ mammary epithelial cells
Authors: Chakrabarty Anindita , Surendran Sreeraj , Bhola Neil E , Mishra Vishnu S , Wani Tasaduq Hussain , Baghel Khemraj S , Arteaga Carlos L , Garg Rohini , Chowdhury Goutam 
Published: June 2019

Abstract
In pre-clinical models, co-existence of Human Epidermal Growth Factor Receptor-2 (HER2)-amplification and PI3K catalytic subunit (PIK3CA) mutations results in aggressive, anti-HER2 therapy-resistant breast tumors. This is not always reflected in clinical setting. We speculated that the complex interaction between the HER2 and PIK3CA oncogenes is responsible for such inconsistency. We performed series of biochemical, molecular and cellular assays on genetically engineered isogenic mammary epithelial cell lines and breast cancer cells expressing both oncogenes. In vitro observations were validated in xenografts models. We showed that H1047R, one of the most common PIK3CA mutations, is responsible for endowing a senescence-like state in mammary epithelial cells overexpressing HER2. Instead of imposing a permanent growth arrest characteristic of oncogene-induced senescence, the proteome secreted by the mutant cells promotes stem cell enrichment, angiogenesis, epithelial-to-mesenchymal transition, altered immune surveillance and acute vulnerability toward HSP90 inhibition. We inferred that the pleiotropism, as observed here, conferred by the mutated oncogene, depending on the host microenvironment, contributes to conflicting pre-clinical and clinical characteristics of HER2+, mutated PIK3CA-bearing tumor cells. We also came up with a plausible model for evolution of breast tumors from mammary epithelial cells harboring these two molecular lesions.
Performance of soluble Klotho assays in clinical samples of kidney disease
Authors: Neyra Javier A , Moe Orson W , Pastor Johanne , Gianella Fabiola , Sidhu Sachdev S , Sarnak Mark J , Ix Joachim H , Drew David A 
Published: June 2019

Abstract

Background
Soluble Klotho has multiple systemic salutary effects. In animals, both acute and chronic kidney disease models display systemic Klotho deficiency. As such, there is considerable interest in investigating soluble Klotho as a biomarker in patients with different types and severity of kidney diseases. Unfortunately, there remains uncertainty regarding the best method to measure soluble Klotho in human serum samples.

Methods
Using human serum samples obtained from several clinical cohorts with a wide range of kidney function, we measured soluble Klotho using a commercial enzyme-linked immunosorbent assay (ELISA) as well as with an immunoprecipitation–immunoblot (IP–IB) assay utilizing a synthetic antibody with high affinity and specificity for Klotho. Recovery of spiking with a known amount of exogenous Klotho was tested. A subset of samples was analyzed with and without the addition of a protease inhibitor cocktail at the time of collection or after the first freeze–thaw cycle to determine if these maneuvers influenced performance.

Results
The IP–IB assay was superior to the ELISA at recovery of exogenous Klotho (81–115% versus 60–81%) across the spectrum of kidney function. Klotho measurements by IP–IB were highly correlated with estimated glomerular filtration rate (eGFR) (R = 0.80, P &lt; 0.001) in comparison with the commercial ELISA, which exhibited minimal correlation with eGFR (R = 0.18, P = 0.12). Use of a protease inhibitor cocktail neither improved nor impaired performance of the IP–IB assay; however, subsequent freeze–thaw cycle resulted in a significant reduction in Klotho recovery and dissipated the correlation between Klotho levels and eGFR. With the ELISA, the use of protease inhibitor cocktail resulted in an increase in intrasubject variability.

Conclusions
The IP–IB assay is preferable to the commercial ELISA to measure soluble Klotho concentrations in never-thawed serum samples of humans with varying severity of kidney disease. However, due to the labor-intensive nature of the IP–IB assay, further research is needed to secure an assay suitable for high-throughput work.
Calciprotein particles and fibroblast growth factor 23 contribute to the pathophysiology of hypercalcemia in a patient with renal sarcoidosis
Authors: Iwazu Yoshitaka , Kuro-o Makoto , Miura Yutaka , Takeda Shin-ichi , Yamada Toshiyuki , Nagata Daisuke 
Published: June 2019

Abstract
In patients with sarcoidosis, dysregulated calcium metabolism is one of the frequently observed complications. However, little attention has been paid to abnormal phosphate metabolism. Herein we present the case of a 42-year-old Japanese man with renal sarcoidosis who developed acute kidney injury due to hypercalcemia and nephrolithiasis. Laboratory data showed hypercalcemia with a normal serum phosphate level and high serum 1,25-hydroxyvitamin D3, fibroblast growth factor 23 (FGF23) and calciprotein particle (CPP) levels. After treatment with oral prednisone and bisphosphonate, the laboratory abnormalities and renal dysfunction were resolved. Thus increases in FGF23 and CPP may indicate disturbed phosphate metabolism in renal sarcoidosis.
A Markov chain analysis of the dynamics of homophily
Authors: Guerrero Katerine , Finke Jorge 
Published: June 2019

Abstract
Many networks are made up of different nodes types, which are determined by a set of common quantitative or qualitative node properties. Understanding the effects of homophilic relationships, that is, the tendency of nodes to establish links to other nodes that are alike, requires formal frameworks that explain how local decision-making mechanisms contribute to the formation of particular network structures. Based on two simple stochastic mechanisms for establishing links, this article introduces a model that explains the emergence of homophily as an aggregate group and network level outcome. We characterize the dynamics of homophily and present conditions that guarantee that the amount of homophily exceeds the expected amount of a purely random decision-making process. Moreover, we show that the proposed model resembles patterns of homophily in a citation network of political blogs. Finally, we use the model to design a non-homophilic node detection algorithm for identifying nodes that establish connections without a particular preference for either node type.
C-type lectin receptor-mediated immune recognition and response of the microbiota in the gut
Authors: Li Tian-Hang , Liu Ling , Hou Ya-Yi , Shen Su-Nan , Wang Ting-Ting 
Published: June 2019

Abstract
C-type lectin receptors (CLRs) are powerful pattern-recognition receptors that discern ‘self’ and ‘non-self’ in our body and protect us from invasive pathogens by mediating immune recognition and response. The gastrointestinal tract is very important for the maintenance of homeostasis; it is the largest shelter for the billions of microorganisms in the body and CLRs play a crucial regulatory role in this system. This study focuses on several CLRs, including Dectin-1, Dectin-2, Dectin-3 and Mincle. We summarize the roles of CLRs in maintaining gastrointestinal immune-system homeostasis, especially their functions in mediating immune recognition and responses in the gut, discuss their relationships to some diseases, highlight the significance of CLR-mediated sensing of microbial and non-microbial compounds in the gut immune system and identify new therapeutic targets.