bluuebunny/crossref_metadata_2025_split huggingface dataset:
Hydrogen technologies in foundry and metallurgy: current state and perspectives (review)
Authors: Goltsova M. V. 
Published: April 2019

The article presents an overview of achievements of hydrogen treatment of materials, – the field of materials science, which makes possible improvement of materials structure and properties with the help of a reversible hydrogen effect. Examples of the hydrogen technologies use in casting and metallurgy are shown. Thermohydrogen processing (THP) of titanium alloys consists of a number of successive operations: hydrogenation of the metal to specified concentrations, technological action on the metal, vacuum annealing to remove hydrogen from the metal to safe concentrations. THP allows plasticizing titanium alloys, increasing their antifriction properties. In welded joints of titanium alloys, the THP equalizes the plasticity of the welded joint and the base metal, increases the cyclic life of the products by 2–2.5 times. In the technologies of casting, the preliminary hydrogenation of a number of aluminum melts leads to an increase in the strength limit by 20–30%, and the relative elongation by 15–45%, and also increasing heat resistance after plastic deformation. With the help of hydrogen, it is possible to carry out controlled powdering of intermetallic compounds, to form nanostructures in materials, to accelerate the processes of chemical-thermal treatment, and to cause «artificial polymorphism» in metals that are not polymorphic by its nature.It is concluded that some of hydrogen technologies have already been commercialized, some are still waiting for wide use. In general, the prospects for the development of hydrogen processing of materials lie in the development of the application of metal– hydrogen systems, and international activity (in particular, schools and conferences), traditionally and regularly held on this topic, allow us to judge the intensive development of the theory and practice of hydrogen technologies.
Materials and Developments Heinrich Wagner Sinto Maschinenfabrik GmbH
Authors: Editotial Article 
Published: April 2019

The company Kutes Metall equips its foundry with a SEIATSU molding plant manufactured by Heinrich Wagner Sinto. The special feature of this molding plant. The SEIATSU.plus compaction process which enables different compaction techniques and combinations depending on requirements. In particular, with an occupancy up to the edge of the molding box optimum pressure values and consequently good casting qualities are achieved.
The Small-Scale Satellite Modular Hyperspectrometer
Authors: Martinov A. O. , Beliaev Yu. V. , Beliaev B. I. , Chumakov A. V. , Damaratski A. V. 
Published: April 2019

Recently in the world practice of aerospace monitoring of the Earth there has been an increasingly active using of methods and devices of hyperspectral imaging. Thus creation of systems designed for recording hyperspectral data and methods for their processing is an actual task for remote sensing of the Earth. The aim of the article was to develop and create a small-sized satellite modular hyperspectrometer in visible and near infrared range, designed to receive information on remote sensing of the Earth in order to constantly update data about state of natural environment and infrastructure objects using videospectral methods with the possibility of comprehensive study of both spectral and spatial characteristics of the observed objects.A small-scale satellite modular hyperspectrometer has been developed. The distinctive features of the equipment include high spectral resolution and small dimensions. A hyperspectrometer includes two main modules: an optical module and an electronics one. The design feature of the optical module is the use of a concave holographic diffraction grating in a polychromator. The electronics module is based on a single board computer. Their description and design features, a scheme for the formation of a hypercube and software for its further processing are presented in the paper. The developed hardware (test equipment, a space experiment simulator and a spatial scanning system) for efficiency testing is presented also, as well as test measurements ware conducted. It is worth noting the extremely small dimensions for this class of devices in comparison with analogues as well as the vibration resistance of the equipment.
Measuring the Temperature and Stress-Strain States of a Tube Sample under the Local Stochastic Temperature Pulsations
Authors: Dmitriev S. M. , Ryazapov R. R. , Mamaev A. V. , Sobornov A. E. , Kotin A. V. , Legchanov M. A. , Lvov A. V. 
Published: April 2019

Provding a high level of durability of heat exchange equipment of water-cooled reactors under local stochastic temperature pulsations is an important scientific and technical problem for the nuclear power industry. Temperature pulsations produced by mixing non-isothermal coolant flows with high temperature gradient are most dangerous. This work is an experimental study of temperature and stress-strain state of a tube sample under local stochastic temperature pulsations caused by mixing of coolant flows.To solve the problems posed, aY-junction with «counter injection» was built, which was included in the thermal-hydraulic research facility. The design of theY-junction allows study of the thermal-hydraulic characteristics and durability of tube samples made of austenitic steel of 60 × 5 мм. Some tube samples had developed for measuring the temperature, stress-strain state of tube material and temperature field of coolant flow in mixing zone of single-phase coolants with different temperatures. Measuring tube samples were equipped with micro thermocouples and strain gauges.The experimental data of temperature pulsations, time-averaged temperature field in the coolant flow and on the outer surface of the sample were obtained, and statistical and spectral correlation characteristics of temperature pulsations were analyzed. According to results of measuring the relative strain, values of stresses were calculated.Devices and research techniques are developed. The combination of coolant flows parameters that provide thermal load of the metal surface at the highest level of stress intensity amplitude was obtained. The study results are used to verify the method for evaluating fatigue of reactor installations materials under stochastic temperature pulsations.
Methods of Increasing the Reliability of the Received Data of the Photon Counter Based on the Analysis of the Pulse Counting Rate During the Transmission of Binary Symbols «0»
Authors: Timofeev A. M. 
Published: April 2019

When measuring low-power optical signals, the receiving modules of systems should ensure a sufficiently high accuracy of the received data. In this regard, it is advisable to use photon counters. They are highly sensitive, but are characterized by data recording errors. The aim of this work was to determine the effect of the average pulse count rate of photons at the output of the counter on the reliability of the received information with the dead time photon counter.An expression for estimating the reliability of the received binary data when they were registered in the fiber-optic communication channel was obtained. This expression takes into account the statistical distributions of the number of pulses at the output of the photon counter.Studies have shown that with increasing ns0, the reliability of the data obtained at the beginning is practically does not change and is close to unity, and then decreases. Moreover, all other parameters being equal, with an increase in the average duration of the dead time of the prolonging type τd , this dependence decreases with large values of ns0: with ns0 ≥ 66,6·103 s-1 for τd = 0; with ns0 ≥ 74,1·103 s-1 for τd = 5 μs; with ns0 ≥ 83,5·103 s-1 for τd = 10 μs; with ns0 ≥ 95,6·103 s-1 for τd = 15 μs.
Quality as Subjectively Measured Value
Authors: Serenkov P. S. , Romanchak V. M. 
Published: April 2019

The paper identifies the problem of ensuring the reliability of measurement results of quality characteristics as subjective values and their correct application in logical and mathematical models of making decisions. The purpose of this study is to increase the reliability of expert evaluation of individual characteristics of the quality of processes, products, systems.The article describes basic methodological approaches to subjective measurements represented by the classical, operational and representational theories of measurement. The most acceptable for the purposes of ensuring the reliability of the expert evaluation of the single quality characteristics a representative theory, suggesting that the subjective value can be measured only in nominal or ordinal scales was determined. The contradiction is established: the possibility of measuring of single quality characteristics in the ordinal scale does not meet the needs of specialists in the field of quality, whouse subjective measurements to solve problems of analysis and decision-making, requiring the use of logical and mathematical models; in that way estimates should be expressed at least in the interval scale. The article substantiates the best solution of this problem by use of the rating scale which has properties of both ordinal and interval scales.Within the framework of the expert methods of quality measurements development two fundamental elements of the methodology of subjective measurements of subjective values from the standpoint of representative theory are formulated: 1) the rating scale as a modified scale of ranks, 2) the method of organization of the measurement process as a method of alternative assessment of expert preferences.Much attention is given to axiomatic of the rating scale having properties of both ordinal and interval scales. The algorithm of implementation of alternative assessment's of expert preferences method which is based on a special two-stage plan of alternative expert survey and statistical criterion of preferences' stability was suggested. In conjunction, the methodologies of subjective measurements of subjective values ensure the correctness of the rating scale's formation and conversion of the values of quality characteristics in the form of ratings in the corresponding values expressed at least in the scale of intervals.
Dynamic Modeling of Two-Phase Gas/Liquid Flow in Pipelines
Authors: Meziou Amine , Khan Zurwa , Wassar Taoufik , Franchek Matthew A. , Tafreshi Reza , Grigoriadis Karolos 
Published: April 2019

SummaryPresented is a reduced–order thermal fluid dynamic model for gas/liquid two–phase flow in pipelines. Specifically, a two–phase–flow thermal model is coupled with a two–phase–flow hydraulics model to estimate the gas and liquid properties at each pressure and temperature condition. The proposed thermal model estimates the heat–transfer coefficient for different flow patterns observed in two–phase flow. For distributed flows, where the two phases are well–mixed, a weight–based averaging is used to estimate the equivalent fluid thermal properties and the overall heat–transfer coefficient. Conversely, for segregated flows, where the two phases are separated by a distinct interface, the overall heat–transfer coefficient is dependent on the liquid holdup and pressure drop estimated by the fluid model. Intermittent flows are considered as a combination of distributed and segregated flow. The integrated model is developed by dividing the pipeline into segments. Equivalent fluid properties are identified for each segment to schedule the coefficients of a modal approximation of the transient single–phase–flow pipeline–distributed–parameter model to obtain dynamic pressure and flow rate, which are used to estimate the transient temperature response. The resulting model enables a computationally efficient estimation of the pipeline–mixture pressure, temperature, two–phase–flow pattern, and liquid holdup. Such a model has utility for flow–assurance studies and real–time flow–condition monitoring. A sensitivity analysis is presented to estimate the effect of model parameters on the pipeline–mixture dynamic response. The model predictions of mixture pressure and temperature are compared with an experimental data set and OLGA (2014) simulations to assess model accuracy.
Effect of Stress-Sensitive Fracture Conductivity on Transient Pressure Behavior for a Horizontal Well With Multistage Fractures
Authors: Jiang Liwu , Liu Tongjing , Yang Daoyong 
Published: April 2019

Summary
In this study, theoretical models have been formulated, validated, and applied to evaluate the transient pressure behavior of a horizontal well with multiple fractures in a tight formation by taking stress-sensitive fracture conductivity into account. On the basis of the superposition principle in the Laplace domain, we propose a coupled matrix/fracture-flow model with consideration of the stress-sensitivity effect in fractures, which strengthens the nonlinearity of the governing equations. More specifically, a new slab-source function in the Laplace domain was developed to describe the transient pressure responses caused by fluid flow from the matrix to the fracture, and a new solution was derived to describe the fluid flow in the fracture under the stress-sensitivity effect. Subsequently, a semianalytical method was applied by discretizing each hydraulic fracture into small segments, and a linearization scheme and an iteration method are adopted to deal with the nonlinear problem in the Laplace domain. Meanwhile, a modified superposition principle was proposed and applied to generate the pressure distributions for buildup tests with consideration of stress-sensitive fracture conductivity. Furthermore, pressure responses and their corresponding derivative type curves were generated to examine the effect of stress-sensitive conductivity. For pressure-drawdown tests, it is found that gradual increases in both pressure drop and pressure derivative occur over time because of the partial closure of the fractures. The stress-sensitivity effect in fractures becomes more evident with a smaller fracture conductivity and a larger fracture-permeability modulus. From the pressure-buildup curves, a one-fourth-slope line characteristic of the bilinear-flow period and constant derivatives of 0.5 representing a pseudoradial-flow regime can be clearly observed. Only fracture conductivity near the wellbore at the shut-in time can be estimated from the buildup pressures obtained in this work, whereas pressure-buildup analysis derived from the traditional superposition principle will result in an erroneous evaluation of the stress-sensitive fracture conductivity. It is also found that the effect of permeability hysteresis in the fractures has a negligible impact on the pressure-buildup responses.
Continuous noninvasive hemoglobin monitoring estimates timing for detecting anemia better than clinicians: A randomized controlled trial
Authors: Tang Bo , Yu Xuerong , Xu Li , Zhu Afang , Zhang Yuelun , Huang Yuguang 
Published: April 2019

Abstract
Background
Hemoglobin measurement is important for transfusion decision-making. Pulse CO-Oximetry provides real-time continuous hemoglobin (SpHb) monitoring. The triage role of SpHb trends based on hemoglobin measurements was investigated.
Methods
In this diagnostic randomized controlled trial, 69 patients undergoing spine or cytoreductive surgery were randomly enrolled into SpHb-monitoring and standard-care groups. Diagnostic blood samples were drawn for CO-oximetry Hb (CoOxHb) when the SpHb decreased by 1 g/dl or at the clinician’s discretion in the standard-care group. The positive predictive value (PPV) was defined as the ability to detect a decrease in CoOxHb > 1 g/dl or a CoOxHb < 10 g/dl; the PPVs were compared using Fisher’s exact test. The SpHb and trend accuracies were calculated. The transfusion units and postoperative hemoglobin levels were compared.
Results
The PPV of a decrease in CoOxHb > 1 g/dl was 93.3% in the SpHb group vs 54.5% without SpHb monitoring (p = 0.002). The PPV of CoOxHb < 10 g/dl was 86.7% vs. 50.0% for these groups (p = 0.015). The CoOxHb was never < 7 g/dl with SpHb monitoring. Sixty SpHb–CoOxHb data pairs and 28 delta pairs (ΔSpHb-ΔCoOxHb) were collected. The bias, precision and limits of agreement were -0.29, 1.03 and -2.30 to 1.72 g/dl, respectively. When ΔSpHb and ΔCoOxHb were > 1 g/dl, the concordance rate for changes in hemoglobin reached 100%. The delta pairs revealed a positive correlation [ΔSpHb = 0.49 * ΔCoOxHb - 0.13; r = 0.69, 95% confidence interval (0.53, 0.82)]. No significant differences were found in the transfusion volume or postoperative anemia state.
Conclusions
The SpHb trend tracked changes in hemoglobin satisfactorily during surgery and more accurately estimated the appropriate timing for invasive hemoglobin measurements than the clinicians.
Trial Registration
ChiCTR1800016290, Date of registration 24 May 2018.
High rates of culture conversion and low loss to follow-up in MDR-TB patients managed at Regional Referral Hospitals in Uganda
Authors: Mbonye Martin Kayitale , Otuba John-Paul , Riese Sara , Alima Hilary , Mugabe Frank , Muhwezi Augustin K , Turyahabwe Stavia , Wandera Christopher , Zanten Tisna Veldhuijzen van , Tugume Gladys 
Published: April 2019

Abstract
Background: Multi-drug resistant – tuberculosis (MDR-TB) is an emerging public health concern in Uganda, with only just over 200 new cases notified by 2014. Prior to 2013, MDR-TB treatment in Uganda was only being provided at the national referral hospital and two private-not-for profit clinics. From 2013, MDR-TB treatment was scaled up to seven regional referral hospitals (RRH). We analyzed data on the first cohort of patients started on MDR-TB treatment at the seven RRH.
Methods: This study was a retrospective descriptive analysis of data collected on a cohort of 69 patients started on MDR-TB treatment at 7 RRHs between 1st April 2013 and 30th June 2014.

Results: Of the 69 patients, 21 (30.4%) were female and 39 (56.5%) were HIV-negative. Thirty (43.5%) were resistant to both isoniazid and rifampicin and 57 (82.6%) were category 1 or 2 failures. Median age at the start of MDR-TB treatment was 35 years (SD 13.5), mean time-to-treatment initiation was 96.1 days and out of the 30 HIV-positive patients, 27 (90.0%) were on anti-retroviral treatment with a mean CD4 count of 258. Within six months of treatment, 59 (86.0%) patients’ culture converted, of which 45 (65.2%) converted by the second month and 14 (20.3%) by the sixth month, one (1.5%) did not culture convert, three (4.4%) died and six (8.8%) were lost-to-follow up. Thirty-two (46.4%) patients experienced at least one severe drug adverse event, while 40 (67.8%) gained weight (mean 4.7 kilograms).

Conclusions: Despite MDR-TB treatment initiation delays, most patients culture converted early, while few were lost to follow-up. These interim outcomes indicate a successful scale-up of MDR-TB treatment at RRH. Reasons for the high proportion of HIV-negative patients on MDR-TB treatment should be investigated.
HetEnc: A Deep Learning Predictive Model for Multi-type Biological Dataset
Authors: Wu Leihong , Liu Xiangwen , Xu Joshua 
Published: April 2019

Abstract
Motivation

Researchers today are generating unprecedented amounts of biological data. One trend in current biological research is integrated analysis with multi-platform data. Effective integration of multi-platform data into the solution of a single or multi-task classification problem; however, is critical and challenging. In this study, we proposed HetEnc, a novel deep learning-based approach, for information domain separation.

Results

HetEnc includes both an unsupervised feature representation module and a supervised neural network module to handle multi-platform gene expression datasets. It first constructs three different encoding networks to represent the original gene expression data using high-level abstracted features. A six-layer fully-connected feed-forward neural network is then trained using these abstracted features for each targeted endpoint. We applied HetEnc to the SEQC neuroblastoma dataset to demonstrate that it outperforms other machine learning approaches. Although we used multi-platform data in feature abstraction and model training, HetEnc does not need multi-platform data for prediction, enabling a broader application of the trained model by reducing the cost of gene expression profiling for new samples to a single platform. Thus, HetEnc provides a new solution to integrated gene expression analysis, accelerating modern biological research.

Availability and Implementation

The source code for HetEnc is available at: https://github.com/seldas/HetEnc_Code.
Door to needle time for thrombolysis: A secondary analysis of the TIPS cluster randomized controlled trial
Authors: Hasnain Md , Paul Christine L , Attia John R , Ryan Annika , Kerr Erin , D’Este Catherine A , Hall Alix , Milton Abul Hasnat , Hubbard Isobel , Levi Christopher R 
Published: April 2019

Abstract
Background

The Thrombolysis ImPlementation in Stroke (TIPS) study evaluated a hospital-based intervention aimed at improving the rates of intravenous thrombolysis in Australia. The current study assessed the effects of this intervention on the door-to-needle time for intravenous thrombolysis and also determined the intervention effects on door-to-needle time within metropolitan and non-metropolitan hospital locations.

Methods

TIPS was a clustered randomized controlled trial that involved 20 hospitals in Australia, with 10 hospitals receiving a multi-component practice-change intervention. De-identified patient data collected in the trial included the arrival, assessment, and treatment times for acute ischemic stroke patients. A posthoc exploration using mixed-effects regression modelling was used to assess intervention effects on door-to-needle time, and the effects within hospital location (metropolitan versus non-metropolitan).

Results

The intervention vs. control difference in the door-to-needle times was non-significant overall or within a hospital location. To provide additional context for the findings, we also evaluated the results within each intervention hospitals. During the active-intervention period, the intervention hospitals showed a significant decrease in the door-to-needle time of 9.25 minutes (95%CI: -16.93, -1.57), but during the post-intervention period, the result was not significant. During the active intervention period, control hospitals showed a significant decrease in the door-to-needle time of 5.26 minutes (95% CI: -8.37; -2.14) and during the post-intervention period, the decrease was 12.13 minutes (95%CI: -17.44, -6.81).

Conclusion

Across these primary stroke care centres in Australia, a secular trend towards shorter door-to-needle times across both intervention and control hospitals was evident. The intervention resulted in only a modest but significant reduction within experimental groups during the active intervention period, which was not sustained during the post-intervention period.