bluuebunny/crossref_metadata_2025 huggingface dataset:
Nonlinear support vector machines can systematically identify stocks with high and low future returns
Authors: Huerta Ramon , Corbacho Fernando , Elkan Charles
Published: November 2019

This paper investigates the profitability of a trading strategy based on training a model to identify stocks with high or low predicted returns. A tail set is defined to be a group of stocks whose volatility-adjusted price change is in the highest or lowest quantile, for example the highest or lowest 5%. Each stock is represented by a set of technical and fundamental features computed using CRSP and Compustat data. A classifier is trained on historical tail sets and tested on future data. The classifier is chosen to be a nonlinear support vector machine (SVM) due to its simplicity and effectiveness. The SVM is trained once per month, in order to adjust to changing market conditions. Portfolios are formed by ranking stocks using the classifier output. The highest ranked stocks are used for long positions and the lowest ranked ones for short sales. The Global Industry Classification Standard is used to build a model for each sector such that a total of 8 long-short portfolios for Energy, Materials, Industrials, Consumer Discretionary, Consumer Staples, Health Care, Financials, and Information Technology are formed. The data range from 1981 to 2010. Without measuring trading costs, but using 91 day holding periods to minimize these, the strategy leads to annual excess returns (Jensen alpha) of 15% with volatilities under 8% using the top 25% of the stocks of the distribution for training long positions and the bottom 25% for the short ones.
A multiscale model of high-frequency trading
Authors: Kirilenko Andrei , Sowers Richard B. , Meng Xiangqian
Published: November 2019

We propose and study a stylization of high frequency trading (HFT). Our interest is an order book which consists of orders from slow liquidity traders and orders from high-frequency traders. We would like to frame a model which is amenable to the (seemingly natural) mathematical toolkit of separation of scales and which can be used to address some of the larger issues involved in HFT. The main issue to which we address our model is volatility. An important question is how volatility is affected by HFT. In our stylized model, we show how HFT increases volatility, and can quantify this effect as a function of the parameters in our model and the separation of scales.
Optimizing sparse mean reverting portfolios
Authors: Sipos I. Róbert , Levendovszky János
Published: November 2019

In this paper we investigate trading with optimal mean reverting portfolios subject to cardinality constraints. First, we identify the parameters of the underlying VAR(1) model of asset prices and then the quantities of the corresponding Ornstein-Uhlenbeck (OU) process are estimated by pattern matching techniques. Portfolio optimization is performed according to two approaches: (i) maximizing the predictability by solving the generalized eigenvalue problem or (ii) maximizing the mean return. The optimization itself is carried out by stochastic search algorithms and Feed Forward Neural Networks (FFNNs). The presented solutions satisfy the cardinality constraint thus providing sparse portfolios to minimize the transaction costs and to maximize interpretability of the results. The performance has been tested on historical data (SWAP rates, SP 500, and FOREX). The proposed trading algorithms have achieved 29.57% yearly return on average, on the examined data sets. The algorithms prove to be suitable for high frequency, intraday trading as they can handle financial data up to the arrival rate of every second.
The relationship between risk and incomplete states uncertainty: a Tsallis entropy perspective
Authors: Tapiero Oren J.
Published: November 2019

This paper provides a “non-extensive” information theoretic perspective on the relationship between risk and incomplete states uncertainty. Theoretically and empirically, we demonstrate that a substitution effect between the latter two may take place. Theoretically, the “non-extensive” volatility measure is concave with respect to the standard (based on normal distribution) volatility measure. With the degree of concavity depending on an incomplete states uncertainty parameter-the Tsallis-q. Empirically, the latter negatively causes the normal measure of volatility, positively affecting the tails of the distribution of realised log-returns.
Discovering the ecosystem of an electronic financial market with a dynamic machine-learning method1
Authors: Mankad Shawn , Michailidis George , Kirilenko Andrei
Published: November 2019

Not long ago securities were traded by human traders in face-to-face markets. The ecosystem of an open outcry market was well-known, visible to a human eye, and rigidly prescribed. Now trading is increasingly done in anonymous electronic markets where traders do not have designated functions or mandatory roles. In fact, the traders themselves have been replaced by algorithms (machines) operating with little or no human oversight. While the process of electronic trading is not visible to a human eye, machine-learning methods have been developed to recognize persistent patterns in the data. In this study, we develop a dynamic machine-learning method that designates traders in an anonymous electronic market into five persistent categories: high frequency traders, market makers, opportunistic traders, fundamental traders, and small traders. Our method extends a plaid clustering technique with a smoothing framework that filters out transient patterns. The method is fast, robust, and suitable for a discovering trading ecosystems in a large number of electronic markets.
The synchronized and long-lasting structural change on commodity markets: Evidence from high frequency data
Authors: Bicchetti David , Maystre Nicolas
Published: November 2019

This paper analyses the co-movements between the US stock market and several commodity futures between 1998 and 2011. It computes dynamic conditional correlations at (i) 1-hour, (ii) 5-minute, (iii) 10-second, and (iv) 1-second frequencies and documents a synchronized structural break, characterized by correlations that have significantly departed from zero to positive territories, since late September 2008. Our results support the idea that high frequency trading and algorithmic strategies have an effect on the behaviour of commodity prices.
A big data approach to analyzing market volatility
Authors: Wu Kesheng , Bethel E. Wes , Gu Ming , Leinweber David , Rübel Oliver
Published: November 2019

Understanding the microstructure of the financial market requires the processing of a vast amount of data related to individual trades, and sometimes even multiple levels of quotes. This requires computing resources that are not easily available to financial academics and regulators. Fortunately, data-intensive scientific research has developed a series of tools and techniques for working with a large amount of data. In this work, we demonstrate that these techniques are effective for market data analysis by computing an early warning indicator called Volume-synchronized Probability of Informed trading (VPIN) on a massive set of futures trading records. The test data contains five and a half year's worth of trading data for about 100 most liquid futures contracts, includes about 3 billion trades, and takes 140GB as text files. By using (1) a more efficient file format for storing the trading records, (2) more effective data structures and algorithms, and (3) parallelizing the computations, we are able to explore 16,000 different parameter combinations for computing VPIN in less than 20 hours on a 32-core IBM DataPlex machine. On average, computing VPIN of one futures contract over 5.5 years takes around 1.5 seconds on one core, which demonstrates that a modest computer is sufficient to monitor a vast number of trading activities in real-time – an ability that could be valuable to regulators. By examining a large number of parameter combinations, we are also able to identify the parameter settings that improves the prediction accuracy from 80% to 93%.
The design and performance of the adaptive stock market index
Authors: Zatlavi Lior , Kenett Dror Y. , Ben-Jacob Eshel
Published: November 2019

The stock market index is one of the main tools used by investors and financial managers to describe the market and compare the returns on specific investments. Common approaches to index calculation rely on a company's market value generating a weighted average as the index. This work presents new methods of computing adaptive stock market indices based on dynamical properties of the underlying index constituents, and introduces measures to evaluate their performance. The premise behind this work is that the influence of each stock on other stocks should be a major factor in determining the weight given to each stock in the index composition. The methodologies presented here provide the means to construct a dynamic adaptive index, which can be used as a benchmark for the underlying dynamics of the market. We investigate the components of the S&P500 index, and the components of the TA25 index, representing a large (NYSE) and a small (TASE) developed market, respectively. We focus our study on periods before and during the 2008 Sub-prime mortgage crisis. Our results provide evidence that the adaptive-indices provide an effective tool for policy and decision makers to monitor the stability and dynamics of the markets, and identify bubble formation and their ensuing collapse.
Dynamic allocation strategies for absolute and relative loss control
Authors: Mantilla-García Daniel
Published: November 2019

The maximum drawdown control strategy dynamically allocates wealth between cash and a risky portfolio, keeping losses below a chosen pre-defined level. This paper introduces variations of the strategy, namely the excess drawdown and the relative drawdown control strategies. The excess drawdown control is a more flexible strategy that can cope with common (re)allocation restrictions such as lock-up periods, cash bans or liquidity constraints through an implementation with a hedging overlay. The relative drawdown control strategy is adapted to contexts in which investors seek to limit benchmark underperformance instead of absolute losses. A formal proof that the loss-control objectives introduced can be insured using dynamic allocation is provided and the potential benefits and implementation aspects of the strategies are illustrated with examples.
Likelihood Ratio Method and Algorithmic Differentiation: Fast Second Order Greeks
Authors: Capriotti Luca
Published: November 2019

We show how Adjoint Algorithmic Differentiation can be combined with the so-called Pathwise Derivative and Likelihood Ratio Method to construct efficient Monte Carlo estimators of second order price sensitivities of derivative portfolios. We demonstrate with a numerical example how the proposed technique can be straightforwardly implemented to greatly reduce the computation time of second order risk.
Smile in motion: An intraday analysis of asymmetric implied volatility
Authors: Wallmeier Martin
Published: November 2019

We present a new method to measure the intraday relationship between movements of implied volatility smiles and stock index returns. It exploits a specific characteristic of the smile profile in high-frequency data. Using transaction data for EuroStoxx 50 options from 2000 to 2011 and DAX options from 1995 to 2011 (14 million transactions), we find that the intraday evolution of volatility smiles is generally not consistent with traders' rules of thumb such as the sticky strike or sticky delta rule. On average, the impact of index return on implied volatility is 1.3 to 1.5 times stronger than the sticky strike rule predicts. The main factor driving variations of the adjustment factor is the index return. Our results have implications for option valuation, hedging and the understanding of the leverage effect.
Efficient greek estimation in generic swap-rate market models
Authors: Joshi Mark , Yang Chao
Published: November 2019

We first develop an efficient algorithm to compute Deltas of interest rate derivatives for a number of standard market models. The computational complexity of the algorithms is shown to be proportional to the number of rates times the number of factors per step. We then show how to extend the method to efficiently compute Vegas in those market models.
Markets are efficient if and only if P = NP
Authors: Maymin Philip Z.
Published: November 2019

I prove that if markets are efficient, meaning current prices fully reflect all information available in past prices, then P = NP, meaning every computational problem whose solution can be verified in polynomial time can also be solved in polynomial time. I also prove the converse by showing how we can “program” the market to solve NP-complete problems. Since P probably does not equal NP, markets are probably not efficient. Specifically, markets become increasingly inefficient as the time series lengthens or becomes more frequent. An illustration by way of partitioning the excess returns to momentum strategies based on data availability confirms this prediction.
News Reaction in Financial Markets within a Behavioral Finance Model with Heterogeneous Agents
Authors: Fischer Thomas
Published: November 2019

This paper presents a Heterogeneous Agent Model of a financial market with chartist and fundamentalist traders that exhibit bounded rationality and short-term thinking to explain the effect of under and overreaction to news. The existence of the Market Maker’s finite price adjustment speed and the presence of risk aversion lead to the fact that prices do not adjust instantaneously to new information. Chartists use moving average rules to make their investment decisions. They can transform an underreaction-only scenario into a market with overreaction. The use of long moving average rules might even make the market unstable. Higher market efficiency (low deviations from fundamental value), on the other hand, is achieved if high rationality and long-term thinking for the agents is assumed.
Financial Turbulence, Business Cycles and Intrinsic Time in an Artificial Economy
Authors: Gonçalves Carlos Pedro
Published: November 2019

The coevolving coupled dynamics of financial markets and real economies is addressed through an integrated model of an artificial economy in which a population of competing companies have their shares traded in a financial market dominated by value investors and arbitrageurs that evaluate the companies’ performance and adapt to market conditions. The coevolution between economy and financial market is operationalized through a quantum game that has by classical limit a coupled map lattice model with economic and financial chaotic dynamics. The connection between the business cycle, financial intrinsic time and scaling patterns of financial turbulence is addressed.
Algorithmic trading in the Iowa electronic markets
Authors: Schmitz James E.
Published: November 2019

The Iowa Electronic Markets are small, real-money financial markets designed to aggregate information about future events. The market microstructure of these markets is studied and a market making model is developed to provide liquidity for one set of securities offered by this exchange. A computer program was created to employ the market making model and profit from the market’s inefficiencies. Using invested capital, the system traded 34% of the total market volume and achieved a Sharpe ratio of 9.9. This paper reveals the details of how this algorithmic trader worked to show how it functioned and the value it added to the Iowa Electronic Markets.
Pricing stocks with yardsticks and sentiments
Authors: Bustos Sebastían Martínez , Andersen Jørgen Vitting , Miniconi Michel , Nowak Andrzej , Roszczynska-Kurasinska Magdalena , Brée David
Published: November 2019

Human decision making by professionals trading daily in the stock market can be a daunting task. It includes decisions on whether to keep on investing or to exit from a market subject to huge price swings, and also how to price in news or rumors attributed to a specific stock. The question then arises how professional traders, who specialize in daily buying and selling large amounts of a given stock, know how to properly price a given stock on a given day. Here we introduce the idea that people use heuristics, or “rules of thumb”, in terms of “yard sticks” from the performance of the other stocks in a stock index. The under or over performance with respect to such a yard stick then signifies a general negative or positive sentiment of the market participants towards a given stock. Using empirical data of the Dow Jones Industrial Average, stocks are shown to have daily performances with a clear tendency to cluster around the measures introduced by the yard sticks. We illustrate how sentiments, most likely due to insider information, can influence the performance of a given stock over period of months, and in one case years.
Kinetic study on the removal of heavy metals by Cajanus Cajan husk
Authors: Mallappa A. Devania Mallappa A. Mallappa A. Devania, , Munshi Basudeb
Published: November 2019

The removal of heavy metals from wastewater has become crucial to meet safe discharge standards. Development of more economic process has been strived owing to high cost of adsorbents. Thus, biosorption process has become the area of interest to researchers and engineers. The present study has carried out the transient removal of heavy metals from wastewater by both physically treated and chemically modified Cajanus cajan (Pigeon pea) husk (CCH) as novel biosorbents. Work includes five different models such as first order, second order, nth order, first order reversible and second order reversible under the heading of prediction of transient concentration of metal in the solution are used, and under the heading of prediction of transient metal uptake capacity; fractional power, pseudo first order, pseudo second order, second order reversible, Elovich, intra-particle diffusion and film diffusion models are used to analyse the kinetic data. For a metal at any particular initial concentration the best kinetic model with the least RMSE is identified. Pictorial comparison between experimental and pseudo second order and pseudo first order model predictive data of Cd(II) and Cu(II) transient biosorption, respectively onto CCH are illustrated. The trend of the results shows a successful prediction capability of all the kinetic models used in the present work. According to RMSE data, it can be concluded that the best kinetic models are pseudo second order for Cd(II) and pseudo first order for Cu(II). It has been found that the required equilibrium time is always less for the chemically activated than the physically activated sorbent. At 100 mg/L initial metal concentration, pseudo-first-order model has been identified as the best kinetic model for the transient Cu(II) and the best kinetic model for fitting the transient sorption of Cd(II) on CCH is pseudo-second-order. At initial metal concentration of 150 mg/L, initial biosorption rate of 9.7038 for Cd(II) on CCH(N) is greater than 1.4553 for Cu(II) on CCH(N). These indicate that Cd(II) undergoes faster adsorption rate than Cu(II) onto CCH.
Authors: Yanuarini Triatmi Andri
Published: November 2019

INTRODUCTION: Preeclampsia is a major cause of maternal and fetal mortality and morbidity. According to WHO in 2010 the world's mother mortality rate is 287.000, WHO estimates there are 500.000 maternal deaths worldwide every year, the biggest contributor of this is developing country that is 99%. the number of pregnant women 750 people who experienced preeklamsi 40 people. One people died after treatment for 21 days in hospital due to severe preeclamsi with complications of heart failure The purpose of research to identify factors affecting preeclampsia in pregnant women in Mojo district health center Kediri. Method:. Participant in this study 10 pregnant women who experienced preeklamsi. Colecting data conducted by in-depth interviews, documentation studies and Focus Group Discussion. Data analitic interview using the stages of analysis according to Diklemann. Result:. The findings of research on factors that affect preeclampsy such as age, education, gravida status, history of hereditary disease (hypertension), lifestyle. Discussion: Recommendation of this research is all pregnant women must be able to control weight, pregnant mother with history preeklamsi willing to become KB acceptor MKJP, midwife in cooperation with nutritionist in nutrition management of pregnant mother.

Keywords: Preeclampsia Factors, Gravida
PENGARUH KEMAMPUAN IBU HAMIL DALAM MELAKUKAN DETEKSI DINI RISIKO PREEKLAMSIA TERHADAP PARITAS, PENGETAHUAN DAN KETERPAPARAN INFORMASI
Authors: Dewi Rr.  Galuh Ajeng Indu
Published: November 2019

Health conditions, mental status and Life & Style can be lead to complications on Pregnancy can be causing death of mother and fetus (Depkes RI, 2014). The main factor that cause maternal death are postpartum bleeding / HPP (28%), preeclampsia (24%) and infection (11%) (Indonesia Health Profile, 2007). Those factors that cause maternal death actually could be prevented by pregnancy and early detection of the risk of pregnancy check up. The type of this research is analitic observational by using cross sectional design. The population is consist of 171 pregnant mother. The sample used are amount of 62 pregnant mothers. The sample used is probability sampling with stratified random sampling technique. Data collection using primary data with questionnaire instrument through interview. Furthermore, the data would be analyzed with simple logistic regression analysis and multiple logistic regression analysis with the level of meaning 5% (α = 0,05). Based on the results of multiple logistic regression analysis in Sawahan show disclosure information variable of danger signs with significancy Exp value (B) 5,657 are significant variables and variable of paritas with significancy Exp value (B) 9,060 are significant variables. Sawahan Public Health Center is the Public Health Center which has high of Maternal Mortality Rate. Puskesmas Sawahan must have information forum. So that, pregnant mother and the other patient or patient’s family should get more information about the danger signs of pregnancy, especially preeclampsia.
PENGARUH MOTIVASI TERHADAP KEMAMPUAN TEKNIK MENYUSUI YANG BENAR PADA IBU NIFAS
Authors: Impartina Atiul
Published: November 2019

Parturition period's important given to mother and baby. The case with neonatal period is also a time of crisis of the life of the baby. Based on the data there are parturition who have experiencing ASI dam as much as 37, 12%. ASI dam occurs due to many still mother breastfeeding her baby hasn’t been able to parturition with the correct breastfeeding technique. The purpose of this research is to know influence the giving motivation to ward ability correct breastfeeding technique on childbirth.This research uses pre-experimental design approach with one group pretest-posttest design. The population of the research are all of parturition and the number of samples as much as 15 person. The technique of sampling with the purposive sampling technique. The independent variable is the giving motivation and dependent variable is the correct breastfeeding technique. Data collecting using questionnaires and observation. Analysis of test data using the Wilcoxon sign rank test with asignificance level of p < 0,05. The results of the statistic Z value obtained = -3,494 with p = 0,000 where p < 0,05 then H0 is rejected the means there is influence the giving motivation against the correct breasfeeding technique ability on childbirth. Based on the results of the research are expected grant of motivation on how further enhanced for the health workforce in the technique of feeding the baby.
UJI DAYA TERIMA, KARAKTERISTIK FISIK, DAN MUTU GIZI MIE BASAH DENGAN SUBTITUSI TEPUNG KACANG MERAH (Phaseolus vulgaris L.)
Authors: Kardina Rizki Nurmalya , Eka S Andhini
Published: November 2019

This study aims to determine whether substitution of wheat flour with red bean flour in the  manufacture of wet noodles, resulting in wet noodles that are not only high in carbohydrates but also contain protein and natural antioxidant compounds. Addition of red bean flour with different percentage gives a real effect on water content, ash content, protein content, fat content, akrbohidrat content, and the elasticity of wet noodles. Parameters of nutrients analyzed have mean that is in accordance with SNI about nutrition content in wet noodles. The proportion of red bean flour in wet noodle making preferred by consumers based on favorite test is on P2 and P3 samples with red bean flour added 10% and 20%.
HUBUNGAN TINGKAT PENGETAHUAN DENGAN KEPATUHAN PENGGUNAAN ALAT PELINDUNG DIRI (APD) PADA PEKERJA MEKANIK DI AREA WORKSHOP PT. XYZ KOTA SURABAYA
Authors: Ayu Friska , R Muslikha Nourma , Sunaryo Merry
Published: November 2019

Along with the rapid development of industry encourages the increasing use of machinery, work equipment in the process of produsi with accompanied the application of techniques and technology from various levels in all sector. This means that there maybe a high risk of accidents due to work and also an increase in the amount of intensity of hazard sources in the workplace. Using of Personal Protective Equipment (PPE) is the final stage of hazard control, although the use of PPE will be maximized if other controls such as elimination, substitution, enginee was already applied. This research was conducted at PT.XYZ which is one of the companies engaged in the delivery of goods through sea lanes located in Tanjung Perak, Surabaya by using analytical observational method with a cross sectional study design with a total sample of 38 people. The characteristics of the respondents and the level of compliance with the use of PPE were obtained from interviews with mechanicalworkers in the workshop area. From the results of interviews conducted, as many as 24 mechanical workers obedient in using PPE and 14 others are not obedient in using PPE. The result of statistical test using chi square test shows that there is correlation between knowledge level (p = 0,002) with level of compliance of PPE usage on mechanical worker in workshop area. Advisable for workers to further improve compliance and self-awareness in using personal protective equipment (APD) whileworking or while in the work environment because its relates to the personal health and safety of workers. For the company should be more firm in supervising the worker in this case about the habit of using personal protective equipment in accordance with the policy set.
EFEKTIFITAS E-LEARNING BERBASIS WEB SEBAGAI PENDUKUNG IN HOUSE TRAINING DALAM MENINGKATKAN KOMPETENSI PERAWAT DI RUMAH SAKIT MUHAMMADIYAH LAMONGAN
Authors: Suratmi Suratmi , Suwardi Suwardi
Published: November 2019

Three domains nurse competention have been identified as cognitif, affective and psichomotor.  One of the methods for improving nurse competention in hospital is by using inhouse training conventional or distance learning (e-learning) methods. The aim of this study were to determine the efficacy of nurse e-learning based on web for supporting inhouse training to improve competention of nurse Muhammadiyah Lamongan Hospital. This pre-experimental study using one group preposttest design and sampling methods using proportionate stratified random sampling. 31 responden were selected as on experiment. Duration of intervention is 1 week. The data were take by application based on web. This study showed improvement efficacy of nurse e-learning based on web for supporting inhouse training to improve competention of nurse in Muhammadiyah Lamongan Hospital. Level of significance (p)=0,00<α(0.05). Efficacy level at moderate-high, index gain value 0,6. Due to the result of this study, e-learning based on web can be used for supporting inhouse training, to improve competention of nurse in Muhammadiyah Lamongan Hospital.
水利工程施工中围堰技术的应用研究
Authors: 任 斌 , 王 贺
Published: November 2019

在水利工程施工过程中，合理都要应用围堰技术才能提高整个水利工程的施工质量，因此文章结合笔者工作经验，对围堰技术的具体应用进行分析，从而为今后水利工程施工中更好的使用围堰技术提供参考与借鉴。
精细化管理在水利工程运行管理中的应用与推行
Authors: 王 东
Published: November 2019

近年来，我国经济得到显著的发展，并推动了水利事业的不断进步。水利工程运行管理工作涉及到的层面较多，为保证水利工程运行管理工作能够发挥出其最大的作用，务必要打破以往陈旧的管理理念，充分结合实际情况，采用科学的方法对水利工程中各方面工作的管理职能进行详细划分。因为水利工程管理工作所针对的对象较多，所以需要工作人员结合现实需要，利用不同的精细化管理方法和措施来推进各项管理工作的落实使得运行管理工作更加高效。
越南风电项目开发流程及应注意的问题探讨
Authors: 石 岳
Published: November 2019

近年来，随着中国电力装机的大幅增长，产能出现了过剩的现象，而东南亚新兴发展中国家由于产业转移等因素出现了电力市场产能严重不足的现象。为此，包括中国华电集团在内的众多中国电力企业开始“走出去”在越南、印尼、柬埔寨等东南亚国家开发电力市场，进行电力投资。投资的电力项目也从早期的火电、水电项目发展到现在的风电、光伏、储能和垃圾发电项目。文章结合作者在越南进行风电开发的经验，着重就越南市场风电开发的关键问题进行探讨。
电力工程建设中的安全对策分析
Authors: 王 霄玄
Published: November 2019

电力工程建设中最重要的部分就是质量与安全管理，因此对于整个电力工程的建设有着至关重要的影响，电力施工过程本身具有系统性、复杂性和长期性的特点，在具体的电力建设实践中，必须有效开展相关的质量与安全管理活动，文章通过分析当前电力工程建设质量与安全管理存在的问题，分别从电力工程施工阶段以及电力工程建设质量水平等方面重点分析的电力工程质量控制和管理的重要举措。
AutoLISP二次开发在压力钢管制造中的应用
Authors: 高 顺阶
Published: November 2019

文章介绍了AutoLISP的CAD二次开发在几个典型的压力钢管异形管节参数化放样中的应用，参数化放样综合考虑了压力钢管异形管节的体型参数和工艺参数对展开曲线的影响，从理论上消除了放样误差，减少了压力钢管异形管节制造中的调整和校正工作，提高了工作效率。
水利工程护坡生态化设计技术研究
Authors: 张 世强
Published: November 2019

就水利工程项目自身的特殊性质来看，在水利工程施工建造中往往会遇到破坏植被的情况，如果不能从根本上对这一问题加以彻底的解决，势必会造成严重的水土流失问题，最终会对整个地区的经济健康发展造成一定的制约。鉴于此，需要我们从地区经济发展趋势着手，充分联系生态设计规范要求，参照流行设计发展方向，制定有效的地区发展计划，推动地区经济健康稳定发展。
试析中小型水利工程施工技术管理的有效措施
Authors: 徐 莉
Published: November 2019

我国地域广阔，拥有多种不同类型的地质环境，这样就对我国中小型水利工程的施工工作造成了诸多的困难。在实施中小型水利工程施工工作的过程中，经常会遇到施工技术管理不到位的情况，这对于水利工程施工工作按部就班的进行会造成严重的不良影响。鉴于此，在开展中小型水利工程建造工作的时候，务必要保证施工单位结合工程施工实际状况，针对施工技术管理工作开展中可能遇到的问题进行前期的预判，找到施工技术管理工作的核心问题，采用适当的方法加以解决，促进中小型水利工程整体施工水平的提升，彻底的将水利工程现实作用施展出来。
水利施工中模板工程的施工技术探讨
Authors: 张 军
Published: November 2019

水利工程由于与人们日常生活关系密切，其工程质量尤其被人们所重视。不断提高水利工程相关技术将是对其工程质量的良好保障，模板工程技术应用到水利工程施工中，便是保障工程质量，提高相关技术重要举措之一。
区域水资源利用与生态环境需水量的研究
Authors: 赵 世斗 , 孔 德志 , 黄 继伟 , 高 莹
Published: November 2019

水资源是极为重要的物质资源，探究区域水资源的利用与生态环境需求量有着较高的现实意义。基于此，文章明确了区域水资源可利用量、区域水资源的利用目标、生态需水量的分类等的相关内容，并以黄河伊洛河流域为实例展开了分析，得出伊洛河流域的水资源能够满足相应地域的基本需求。
论全面预算管理在电力企业经营管理中的应用策略
Authors: 富 园园
Published: November 2019

在全面预算管理方面，要深入分析和有效控制相关资源，提高企业资源利用效率。这种管理模式在电力企业经营中的应用，可以帮助企业在经营管理过程中进一步优化资源配置，进而制定科学合理的预算和战略目标。因此，怎样才能有效地解决电力企业整体预算管理中出现的问题，是企业管理人员迫切需要思考的问题。
砂石加工集中控制系统的应用
Authors: 李 朋 , 刘 天冬
Published: November 2019

基于我国通信技术、网络技术与自动化技术的发展，工业自动化水平不断提升，越来越多的现场设备实现了自动化控制。基于PLC控制的微处理技术为砂石加工控制系统的优化与升级带来帮助，系统体积较小，可靠性较强，完善的系统功能使设备对环境拥有极强的适应能力，且系统编程简单，适合用于施工现场。
农田水利滴灌技术应用要点
Authors: 柴 玉婷
Published: November 2019

滴灌技术，是当代农业种植中的主导环节，它是可持续发展理念在社会中落实的有效方式。基于此，本篇文章结合滴灌技术的相关理论，着重对农田水利滴灌方法的应用要点进行探究，以达到明晰技术优势，促进国内农业生产结构不断完善的目的。
基于磁场的小电流接地系统单相接地选线研究
Authors: 王 亚彩
Published: November 2019

考虑到架空线周围存在准静态电磁场，文章利用电磁场理论进行非接触式故障选线。采用以镜像法为基础的等效电荷法建立架空线周围电磁场数学模型，分析了故障前后线路下方电磁场与n次谐波零序电压和零序电流的关系。通过比较各次谐波对电磁场的影响程度，选取架空线下方5次零序谐波电磁场进行故障选线。当线路发生单相接地故障时，与非故障线路相比较，故障线路下方5次零序谐波电场和磁场的幅值和相位均发生明显改变。通过提取故障特征，可以实现小电流接地系统的故障选线。最后利用MATLAB软件进行电磁场仿真，仿真验证了该选线方法的可行性。
建筑机电工程设备安装技术实际应用分析
Authors: 马 志堃
Published: November 2019

随着经济社会的高速发展，以及相关技术的突破，建筑行业在现代社会中取得了很大的进步。特别是在城镇化水平急速提升的今天，建筑行业也逐渐走向现代化和智能化，开始在工程项目的建造施工过程中使用大量的现代机械设备，以提高建筑工程项目施工的效率和质量，降低建筑工程施工的费用，显著提高建筑工程建造的经济效益。在这些现代机械设备当中一个非常重要的组成部分就是电气和机械设备，在工程项目的建造和施工过程当中，能否正确的安装维护和使用机电工程设备，将直接关系到工程项目的建造。所以，必须在工程项目的建造环节加强机械电气设备的安装和使用管理，这是中国建筑行业高质量发展的重要保障。
建筑智能化中BIM技术的应用
Authors: 邵 清萍
Published: November 2019

在社会快速发展的带动下，推动了国内各个行业的稳定发展，尤其是建筑行业发展十分迅速。就现如今我国建筑行业的发展现状来看，正在朝着智能化的方向迈进，将BIM技术切实的引用到智能建筑施工工作之中，可以将BIM技术的信息化作用充分的施展出来，对建筑智能化进行完善优化。BIM技术能够结合建筑智能化的实际需要，运用有效的技术方法来对信息化模型进行控制，结合获得的信息来对建筑智能化施工设计加以完善，保证建筑施工质量。
建筑工程绿色节能施工技术应用分析
Authors: 刘 博
Published: November 2019

近年来，由于长期的粗放型经济发展方式，带来了比较严重的环境污染问题，再加上资源匮乏和其他经常出现的生态环境问题，使得节能环保的理念逐渐深入人心，在当今社会上引起了很大的环保共识。伴随着城镇化水平的迅速提升，人们对建筑工程项目的要求不再局限于传统的居住感受和舒适度，而是更加关注建筑工程项目的环境保护属性和节能效能。这直接推动了建筑业在这一环保节能的社会背景下逐步向建筑环保节能的建筑施工方向进步。随着节能环保的建筑技术的不断改进以及新技术、新材料研究与应有，各种新的绿色节能的建筑项目不断出现，显著的节约了能源保护了环境，在创造经济效益的同时带来了不小的生态效益。
桩基检测方法研究与应用
Authors: 荀 春生
Published: November 2019

就现如今桩基检测工作的实际情况来看，因为很多的检测单位选择的检测方法不适当，或者是对检测工作的重要性缺少正确的认识，所以导致很多时候，桩基工程质量检测的效果较差，在工程施工过程中往往会遇到大量的突发情况，最终对工程施工质量造成一定的损害。这篇文章主要围绕桩基检测方法展开全面的分析研究，希望能够对建筑工程的稳定健康发展有所助益。
长引桥加压离心泵运行稳定性探析
Authors: 吕 鹏
Published: November 2019

东营港5万吨油品码头运行的过程中，船舶自带货泵的扬程不能够充分满足油品运输的要求，项目在引桥2.6km处设置了一个加压泵站来进行二次加压，从而达到高效运输油品的目的，文章研究了加压泵组运行的稳定性问题。
预制T梁钢筋胎架法整体成型及吊装技术应用
Authors: 靳 俊奇 , 陈 超
Published: November 2019

文章主要介绍了高速公路施工中的预制T梁钢筋胎架法整体成型及吊装技术。在钢筋胎架上提前将预制T梁底腹板和顶板钢筋笼绑扎成型，再利用龙门吊整体吊装钢筋骨架到台座上就位。该施工技术提高了施工效率，同时保证了钢筋笼的绑扎精度及预应力管道的定位、安装精度。文章通过对预制T梁钢筋胎架法整体成型及吊装技术的施工过程、注意事项和效益分析，胎架法整体成型及吊装技术较常规施工工艺大大提高了T梁钢筋制作安装施工效率及工程质量。
绿色施工技术在市政路桥施工中的应用探究
Authors: 张 龙
Published: November 2019

路桥工程中的绿色施工理念逐渐深入人心，成为了路桥建设的重要施工内容，在可持续发展与绿色环保思想继续宣传贯彻过程中，市政路桥还需加大绿色施工技术的应用，实现绿色施工的创新发展，为市政路桥建设带来更多的社会效益。
National Study of Saudi Arabian Emergency Medical Services Professional Profiles: An Inferential Analysis
Authors: AlShammari Talal , Jennings Paul , Williams Brett
Published: November 2019

Introduction

Internationally, emergency medical services (EMS) are an essential access point to the healthcare system. Building an understanding of the professional, educational and demographic profiles of an EMS workforce is important. The aim of this study is to statistically test the professional profiles of EMS providers against the Saudi ParamEdic Competency Scale (SPECS) model factors.

Methods

Healthcare providers working for the Saudi Red Crescent Authority (SRCA) were surveyed using a cross-sectional study design with purposive sampling technique. The independent variables were tested against the five SPECS model factors of ‘Professionalism’, ‘Preparedness’, ‘Communication’, ‘Clinical’ and ‘Personal’.

Results

Of the 1260 surveys distributed, 909 surveys were returned (72.14% response rate). A total of 927 EMS healthcare professionals contributed to the study of whom 866 (93.4%) were male and 61 (6.6%) female. Of the participants, 552 (59.5%) were aged 29–39 years and 508 (54.8%) had 5–9 years’ experience.

Conclusion

This is the first national study to explore and contextualise the diverse professional stakeholders in Saudi EMS. The study was able to employ the professional profiles of the participants in understanding the different perceptions of the SPECS model. We recommend that future research address the specific differences identified in the demographic, professional and educational aspects of this study.
Preventing Cancer with Two Injections, A Clinical Review of the HPV Vaccination
Authors: Gerald Julian, OMS II  , David Go, OMS II  , Jay H. Shubrook, DO, FACOFP
Published: November 2019

Human Papilloma Virus (HPV) has become a major public health concern in the United States. HPV has high subclinical infection rates and is a major cause of preventable cancers (cervical, vaginal, vulvar, anal, penile, and oropharyngeal).1,2 Despite availability of an effective vaccine against several common and carcinogenic strains of HPV, it remains the most common STI.2 Gardasil 9 is a widely available vaccine that protects against nine strains of HPV. Seven of those strains are known to cause a wide range of cancer, and the other two strains are the most common cause of condylomas (genital warts).3 Yet, patients are not completing this vaccination series. There are a constellation of reasons for this, including failure of the provider to offer it to patients and patient refusal.4 Either way this easy public health intervention is significantly underutilized. This review explores the infection process of HPV; its link to cancer; a comparison of vaccines offered in the past, such as Cervarix and Gardasil 4, compared to the currently offered Gardasil 9; and finally, an exploration of the beliefs and views around vaccination of the STI and cancer by looking at patient/physician stances against the vaccine tied with the ways to help patient compliance.
Impact of Financial Leverage on Firm Performance
Authors: Iqbal Umer , Usman Muhammad
Published: November 2019

The aim of this research is to identify the relationship between financial leverage and the performance of Textile Composite Companies of Pakistan. Pakistan Textile Composite Companies which are listed in PSX (100-index) are selected.5-year data is collected from 2011-2015 and top 16 companies are selected as a sample. Using descriptive statistics, correlation analysis, and a regression model to identify the results. Results show that financial leverage has a negative and significant effect on firm ROE and financial leverage has a positive and significant effect on firm ROA. Further study indicates that the high-interest rate and more amount of debt decrease the value of equity and has a negative impact on firm performance. On the other hand, the amount of debt has a positive impact on firm ROA. Results show that financial leverage has a positive impact on firm performance if the amount of debts do not exceed the amount of equity.
Impact of Corporate Social Responsibility on Job Attitudes: Job Satisfaction and Organizational Commitment of Banking Sector Employees of Pakistan
Authors: Khan Mavra , Sarwar Sadia , Khan Hiba
Published: November 2019

The study is conducted to highlight the employees’ perspective of CSR in the banking sector of Pakistan and its impact on their job attitudes: job satisfaction and organizational commitment. Primary data were collected from 177 employees working in 22 different banks of Lahore (Pakistan). Stratified random sampling technique was used for sample selection. The population included all the banks in Lahore. Results show the existence of a direct relationship between a) CSR and Organizational Commitment b) CSR and Job Satisfaction.
Transformational Leadership and Organizational Performance
Authors: Arif Sadia , Akram Aman
Published: November 2019

The study is an investigation of transformational leadership impact on organizational performance; the mediating role of organizational innovation. The study revealed that organizational innovation has mediated significant impact on organizational performance. The research found that transformational leadership and organizational performance has strong relationship. Therefore, it will help the managers to create such leadership style in the organizations. Pakistani organizations need an environment where leaders motivate and encourage the employees who are wishing to become more creative and effective in leading the successful organizations.
Role ofpreconception endothelial dysfunction in development of obstetric complications
Authors: Kuznetsova I. V.
Published: November 2019

The article highlights the pathogenetic mechanisms of endothelial dysfunction formation and its role in the occurrence of gestational complications. The main tasks of the pregravid preparation of patients with diseases associated with endothelial dysfunction are considered. The relevance of early detection of risk factors for gestational complications caused by endothelial dysfunction is emphasized, and methods for its indirect assessment are described. A list of measures aimed at preventing the clinical implementation of endothelial dysfunction is given, and the possibilities of its therapeutic correction are described.
Eosinophilic colitis. Differential diagnosis. Analysis of own observation
Authors: Krivosheev A. B. , Shidlovskaya E. V.
Published: November 2019

The article is devoted to the description of a rare intestinal disease - eosinophilic colitis. Presented patient O., 27 years old, whose disease was diagnosed during histological examination after an emergency surgery for perforation of the sigmoid colon. The clinical data, results of laboratory, instrumental, morphological examinations are analyzed. A comparative analysis was carried out with Crohn's disease, collagen colitis.
Bismuth tripotassium dicitrat: from pharmaceutical characteristics to clinical efficacy
Authors: Simanenkov V. I. , Bakulina N. V. , Tikhonov S. V.
Published: November 2019

There are pharmacodynamics, pharmacokinetics, clinical aspects of the use of bismuth tripotassium dicitrate and comparative analysis of the physicochemical and structural properties of tableted forms of preparations containing bismuth tripotassium dicitrate - the original drug De-Nol® (Astellas) and the generic drug Ulcavis® (KRKA) in the article. Demonstrated similar physical and chemical properties, the similarity of the disintegration rate of the two tablets of bismuth tripotassium dicitrate suggests a similar clinical effectiveness of the reproduced and reference drug.
Structural-functional state of erythrocytes in children with chronic kidney disease
Authors: Sabirova A. V. , Volosnikov D. K. , Matyash O. V.
Published: November 2019

During Chronic Kidney Disease (CKD) development and progression emphasis is placed on structural-functional state of red blood cells. The aim of this paper is to examine red blood values and red blood cells morphological type in peripheral blood among children with CKD. 75 children with CKD aged 5-16 years were examined. The control group consisted of 25 healthy children of the same age range. Analysis of the morphometric parameters of red peripheral blood cells - mean volume (MCV) and erythrocyte diameter, mean content (MCH) and mean hemoglobin concentration in the erythrocyte (MCHC), were performed using a Gobas Micros (Roche) hematology counter. Smears were marked according to Romanovsky-Giemsa. Morphometric studies of red blood cells were carried out using the Morphology 5.2 program and red blood cell confocal microscopy on a LSM-710 Confocal Microscope, manufactured by Carl Zeiss. The tendency to poikilocytosis in CKD was confirmed. We identified that among children with CKD the distribution of red blood cells in diameter is disturbed, the content of microcytes increases, poikilocytosis is observed with an increase in the content of irreversibly transformed elements. The revealed features may serve as an additional criterion for the diagnosis of chronic kidney insufficiency at the early stage.
Clinical case of lung lesions in patient with newly diagnosed systemic lupus erythematosus
Authors: Gavva T. N. , Kuzmenkova L. V. , Fedulaev Yu. N. , Pinchuk T. V. , Kaminer D. D. , Chuprakova A. Yu.
Published: November 2019

A case of lung damage in systemic lupus erythematosus (SLE) in a 33-year-old woman is described. This case is of clinical interest due to the complexity of diagnosis due to the fact that SLE is a disease with diverse clinical manifestations involving many organs and systems, which often makes it difficult to timely recognize the onset of the disease. SLE still remains a challenge and requires special attention to the patient s history, clinical and laboratory parameters of the patient, as well as specific immunological examinations.
IMPROVEMENT OF THE DIFFRACTION EFFICIENCY OF SPECKLE INTERFEROGRAMS BY SELECTING A METHOD OF MANIFESTATION AND DEVELOPER FOR PRACTICAL USE IN EXPERIMENTAL MECHANICS
Authors: Min Htet Nyan Min Htet , Volkov Igor Valentinovich
Published: November 2019

This article presents a qualitatively new developed technology of out-of-band registration of speckle holograms in the study of deformations in the concentration zone on samples with holes. Summary. One of the most important aspects of speckle-holographic interferometry is the quality of the resulting speckle-hologram, which largely determines its diffraction efficiency. In this case, the improvement of diffraction efficiency in solving practical problems is carried out through the selection of the developer of photographic plates, the installation of a certain exposure time and the choice of methods for processing photographic plates. However, in practice, there are often problems of obtaining the maximum diffraction efficiency of holograms. We made a choice of developer, exposure time, as well as methods of photo processing of speckle holograms in colliding beams in the process of practical experiment. Practical significance. The technology of out-of-band registration of speckle holograms described in the article can be used in the process of research of SSS of full-scale aircraft structures in areas of stress concentration, as well as their detection during industrial full-scale tests.
COMPUTER MODELING THIN FILM GROWTH ON THE SURFACE BY LOW ENERGY CLUSTER DEPOSITION
Authors: MUMINOV RAMIZULLA ABDULLAEVICH , RASULOV AKBARALI MAHAMATOVICH , IBRAGIMOV NODIR IKROMJONOVICH
Published: November 2019

A report is presented about progress in the understanding of the properties of bi-metallic nanoparticles, their interaction with surfaces subsequent to low energy slowing down and the properties of nanostructured materials formed with these particles. A nanoparticle contains from a few atoms for the smallest ones to several thousand for the largest ones considered here. The properties of an atom result from quantization and the same is true for the molecules they form. The same is thus true for the smallest nanoparticles. At the other edge, many of the properties of macroscopic materials are well described by a classical approach and nanoparticles appear as objects at the fringing field between quantum and classical behaviors. In the study of their properties, using either a quantum or a classical approach, atomic scale methods appear as naturally well-suited. Atoms are considered as individual objects interacting via their outer shell electrons only. However even with such an approximation, solving the Schrödinger equation becomes quickly prohibitively heavy as the number of atoms involved increases. For the heaviest elements, relativistic effects make the problem even heavier.
THE METHOD OF EXPERIMENTAL STUDY OF IMPACT ON WIRE TRANSMISSION LINES
Authors: Ratushnyak Victor Sergeevich , Il'in Evgenij Sergeevich , Ratushnyak Valentina Sergeevna
Published: November 2019

Purpose. The article presents a laboratory setup and a measuring system of oscillations of a fixed wire with a transverse impact.Findings. This measuring system can be used to determine wire displacements from 1.5 µm with a time resolution of 5 ns.Practical meaning. The laboratory setup will allow experimental studies of the reaction of the wire and the frozen ice tube to a mechanical shock by an inductor, the speed and energy of which can be an order of magnitude higher than that of a pendulum. Originality/value. Described installation for the study of the destructive effect transmitted to the ice indirectly, through a bump,mounted on the wire.
SIMULATION OBJECTIVES OF FUZZY LINEAR PROGRAMMING WITH AN α-LEVEL METHOD OF λ-CONTINUE
Authors: Shatalova Alevtina Jur'evna , Lebedev Konstantin Andreevich Konstantin Andreevich
Published: November 2019

The article describes an approach that allows to formally describe the arising uncertainties in linear optimization problems. The generalized parametric alpha-level method of lambda-continuation of the fuzzy linear programming problem is considered. The model offers two methods that take into account the expansion of the binary fuzzy ratio (“strong” and “weak”). After the condition is formed taking into account the incoming quantities in the form of fuzzy numbers (the objective function and the system of constraints), the optimal solution (the value of the objective function) for each alpha and lambda is calculated using the simplex method implemented in Mathcad. On its basis, a mathematical model is built that will take into account the random values of alpha and lambda with a uniform distribution law. The paper presents a description of the simulation study, which confirms the conclusions about the possibilities of the method. Using the proposed theory, the decision-maker receives more information showing the behavior of the system with small changes in the input parameters to make more informed conclusions about the choice of financing of an investment project. The developed method of simulation of fuzzy estimation can be applied to other economic models with the appropriate necessary modification, for example, to assess the creditworthiness of the enterprise.
SPECIFICATIONS OF APPROXIMATION k-VALUE FUNCTIONS AND THEIR PROPERTIES
Authors: Nikonov Vladimir Glebovich , Zobov Anton Igorevich
Published: November 2019

This article discribes different characteristics of proximity specifications k -value function. Most of the authors consider characteristics of proximity specifications in boolean case as Hamming distance only, but we can suggest several different approaches to definitions of this terms. The solution to this problem will allow to expand the number of methods for analysis and building information processing and security data system.