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Journal articles on the topic 'Lag order selection'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Butler, Ronald, and Marc Paolella. "Autoregressive Lag—Order Selection Using Conditional Saddlepoint Approximations." Econometrics 5, no. 3 (September 19, 2017): 43. http://dx.doi.org/10.3390/econometrics5030043.

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2

Morales, Marco. "Lag order selection for an optimal autoregressive covariance matrix estimator." Journal of Applied Statistics 37, no. 5 (March 23, 2010): 739–48. http://dx.doi.org/10.1080/02664760902873969.

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3

Kapetanios, George. "Incorporating lag order selection uncertainty in parameter inference for AR models." Economics Letters 72, no. 2 (August 2001): 137–44. http://dx.doi.org/10.1016/s0165-1765(01)00433-5.

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Jia, Guijin, Youqing Wang, and Biao Huang. "Dynamic higher-order cumulants analysis for state monitoring based on a novel lag selection." Information Sciences 331 (February 2016): 45–66. http://dx.doi.org/10.1016/j.ins.2015.10.029.

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Cavaliere, Giuseppe, Luca De Angelis, Anders Rahbek, and A. M. Robert Taylor. "DETERMINING THE COINTEGRATION RANK IN HETEROSKEDASTIC VAR MODELS OF UNKNOWN ORDER." Econometric Theory 34, no. 2 (September 20, 2016): 349–82. http://dx.doi.org/10.1017/s0266466616000335.

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We investigate the asymptotic and finite sample properties of a number of methods for estimating the cointegration rank in integrated vector autoregressive systems of unknown autoregressive order driven by heteroskedastic shocks. We allow for both conditional and unconditional heteroskedasticity of a very general form. We establish the conditions required on the penalty functions such that standard information criterion-based methods, such as the Bayesian information criterion [BIC], when employed either sequentially or jointly, can be used to consistently estimate both the cointegration rank

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Takeyasu, Kazuhiro. "Brand Selection and Its Matrix Structure―Expansion of its Block Matrix to the Third Order Lag―." Business and Management Research 5, no. 4 (November 25, 2016): 31. http://dx.doi.org/10.5430/bmr.v5n4p31.

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Focusing that consumers’ are apt to buy superior brand when they are accustomed or bored to use current brand, new analysis method is introduced. Before buying data and after buying data is stated using liner model. When above stated events occur, transition matrix becomes upper triangular matrix. In this paper, equation using transition matrix stated by the Block Matrix is expanded to the third order lag and the method is newly re-built. These are confirmed by numerical examples. S-step forecasting model is also introduced. This approach makes it possible to identify brand position in the mar

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Liao, Zhipeng, and Peter C. B. Phillips. "AUTOMATED ESTIMATION OF VECTOR ERROR CORRECTION MODELS." Econometric Theory 31, no. 3 (March 13, 2015): 581–646. http://dx.doi.org/10.1017/s026646661500002x.

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Model selection and associated issues of post-model selection inference present well known challenges in empirical econometric research. These modeling issues are manifest in all applied work but they are particularly acute in multivariate time series settings such as cointegrated systems where multiple interconnected decisions can materially affect the form of the model and its interpretation. In cointegrated system modeling, empirical estimation typically proceeds in a stepwise manner that involves the determination of cointegrating rank and autoregressive lag order in a reduced rank vector

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Zhang, Bingkai, Benzhong Dai, Li Zhang, Jiali Liu, and Zhen Cao. "The Correlated Multi-color Optical Variations of BL Lac Object S5 0716+714." Publications of the Astronomical Society of Australia 27, no. 3 (2010): 296–301. http://dx.doi.org/10.1071/as09086.

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AbstractS5 0716+714 is a well-studied BL Lac object in the sky. Verifying the existence of correlations among the flux variations in different bands serves as an important tool to investigate the emission processes. To examine the possible existence of a lag between variations in different optical bands on this source, we employ a discrete correlation function analysis on the light curves. In order to obtain statistically meaningful values for the cross-correlation time lags and their related uncertainties, we perform Monte Carlo simulations called ‘flux redistribution/random subset selection’

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Pinho, João Pedro, Bruno Mezêncio, Desidério Cano Porras, Julio Cerca Serrão, and Alberto Carlos Amadio. "Relationship Between Knee Extensors Power Output and Vastus Lateralis EMG Activation in Elderly Women: Influence of Mother Wavelet Selection." Open Sports Sciences Journal 10, no. 1 (December 29, 2017): 263–71. http://dx.doi.org/10.2174/1875399x01710010263.

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Purpose:The main objective of this study was to compare frequency parameters produced by six mother wavelets pinpointing the most feasible to investigate electromyographic (EMG) parameters while producing knee extension power in elderly women. The influence of different load conditions in mother wavelet selection and power output were also analyzed.Methods:Thirteen sedentary elderly women (69.3 ± 4.1 years) took part in the study. Participants executed 6 repetitions of 3 load condition (30%, 50% and 70% of the maximal) with the concentric phase of the knee extension movement as quickly as poss

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Papoulias, Fotis A. "On the Nonlinear Dynamics of Pursuit Guidance for Marine Vehicles." Journal of Ship Research 37, no. 04 (December 1, 1993): 342–53. http://dx.doi.org/10.5957/jsr.1993.37.4.342.

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A theoretical analysis of the nonlinear dynamic phenomena involved in pure pursuit guidance of marine vehicles is performed. Nomoto's model (Crane et al 1989) is used to provide the basis for the main vehicle turning lag. Results obtained in closed-form expressions demonstrate the existence of bifurcations to periodic solutions. The center manifold of the system is evaluated to within a third-order approximation. Third-and fifth-order expansions are utilized in order to provide information on limit cycle existence and stability. Recommendations regarding the appropriate selection of control de

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Jin, Shanhai, Ryo Kikuuwe, and Motoji Yamamoto. "Parameter Selection Guidelines for a Parabolic Sliding Mode Filter Based on Frequency and Time Domain Characteristics." Journal of Control Science and Engineering 2012 (2012): 1–13. http://dx.doi.org/10.1155/2012/923679.

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This paper presents the results of quantitative performance evaluation of an authors’ new parabolic sliding mode filter, which is for removing noise from signals in robotics and mechatronics applications, based on the frequency and time domain characteristics. Based on the evaluation results, the paper presents selection guidelines of two parameters of the filter. The evaluation results show that, in the frequency domain, the noise removing capability of the filter is almost the same as that of the second-order Butterworth low-pass filter (2-LPF), but its phase lag is smaller (maximum 150 degr

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Xaba, Diteboho, Ntebogang Dinah Moroke, Johnson Arkaah, and Charlemagne Pooe. "A Comparative Study Of Stock Price Forecasting Using Nonlinear Models." Risk Governance and Control: Financial Markets and Institutions 7, no. 2 (2017): 7–17. http://dx.doi.org/10.22495/rgcv7i2art1.

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This study compared the in-sample forecasting accuracy of three forecasting nonlinear models namely: the Smooth Transition Regression (STR) model, the Threshold Autoregressive (TAR) model and the Markov-switching Autoregressive (MS-AR) model. Nonlinearity tests were used to confirm the validity of the assumptions of the study. The study used model selection criteria, SBC to select the optimal lag order and for the selection of appropriate models. The Mean Square Error (MSE), Mean Absolute Error (MAE) and Root Mean Square Error (RMSE) served as the error measures in evaluating the forecasting a

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Wen, Yan, Ziliang Zou, Hongshun Li, Zhonghuai Xiang, and Ningjia He. "Analysis of codon usage patterns inMorus notabilisbased on genome and transcriptome data." Genome 60, no. 6 (June 2017): 473–84. http://dx.doi.org/10.1139/gen-2016-0129.

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Codons play important roles in regulating gene expression levels and mRNA half-lives. However, codon usage and related studies in multicellular organisms still lag far behind those in unicellular organisms. In this study, we describe for the first time genome-wide patterns of codon bias in Morus notabilis (mulberry tree), and analyze genome-wide codon usage in 12 other species within the order Rosales. The codon usage of M. notabilis was affected by nucleotide composition, mutation pressure, nature selection, and gene expression level. Translational selection optimal codons were identified and

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Silva, Fabrício Drummond, Alcione Miranda dos Santos, Rita da Graça Carvalhal Frazão Corrêa, and Arlene de Jesus Mendes Caldas. "Temporal relationship between rainfall, temperature and occurrence of dengue cases in São Luís, Maranhão, Brazil." Ciência & Saúde Coletiva 21, no. 2 (February 2016): 641–46. http://dx.doi.org/10.1590/1413-81232015212.09592015.

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Abstract This study analyzed the relationship between rainfall, temperature and occurrence of dengue cases. Ecological study performed with autochthonous dengue cases reported during 2003 to 2010 in São Luís, Maranhão. Data of rainfall and temperature were collected monthly. The monthly incidence of dengue cases was calculated by year/100,000 inhabitants. In order to identify the influence of climate variables and dengue cases different distributed lag models using negative binomial distribution were considered. Model selection was based on the lowest AIC (Akaike Information Criterion). Thirte

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Herwartz, Helmut, Simone Maxand, Fabian H. C. Raters, and Yabibal M. Walle. "Panel Unit-root Tests for Heteroskedastic Panels." Stata Journal: Promoting communications on statistics and Stata 18, no. 1 (March 2018): 184–96. http://dx.doi.org/10.1177/1536867x1801800111.

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In this article, we describe the command xtpurt, which implements the heteroskedasticity-robust panel unit-root tests suggested in Herwartz and Siedenburg (2008, Computational Statistics and Data Analysis 53: 137–150), Demetrescu and Hanck (2012a, Economics Letters 117: 10–13), and, recently, Herwartz, Maxand, and Walle (2017, Center for European, Governance and Economic Development Research Discussion Papers 314). While the former two tests are robust to time-varying volatility when the data contain only an intercept, the latter test is unique because it is asymptotically pivotal for trending

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Hill, Jonathan B., and Kaiji Motegi. "A MAX-CORRELATION WHITE NOISE TEST FOR WEAKLY DEPENDENT TIME SERIES." Econometric Theory 36, no. 5 (May 12, 2020): 907–60. http://dx.doi.org/10.1017/s0266466619000367.

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This article presents a bootstrapped p-value white noise test based on the maximum correlation, for a time series that may be weakly dependent under the null hypothesis. The time series may be prefiltered residuals. The test statistic is a normalized weighted maximum sample correlation coefficient $ \max _{1\leq h\leq \mathcal {L}_{n}}\sqrt {n}|\hat {\omega }_{n}(h)\hat {\rho }_{n}(h)|$, where $\hat {\omega }_{n}(h)$ are weights and the maximum lag $ \mathcal {L}_{n}$ increases at a rate slower than the sample size n. We only require uncorrelatedness under the null hypothesis, along with a mom

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Aisien, Leonard Nosa. "The Impact of Exchange Rate on Foreign Private Investment in Nigeria." Asian Finance & Banking Review 2, no. 2 (November 17, 2018): 19–32. http://dx.doi.org/10.46281/asfbr.v2i2.208.

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The study examined the impact of exchange rate on foreign private investment using quarterly time series date from Nigeria for the period 2007 to 2017. Foreign private investment in the study was disaggregated into foreign direct investment and foreign portfolio investment in order to ascertain their separate reactions to changes in the exchange rate of the naira against the US dollars. The empirical analysis was based on the VAR estimation procedure using three lagged periods adopted on the basis of various lag order selection criteria. The empirical result revealed that devaluation/depreciat

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Piao, Chang Hao, Yu Sheng Li, Hong Tao Qiao, and Cong Teng. "The Study of Digital DC-DC Converter of Electric Vehicles." Applied Mechanics and Materials 224 (November 2012): 466–69. http://dx.doi.org/10.4028/www.scientific.net/amm.224.466.

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This paper presents a two-stage DC-DC converter for electric vehicles that controlled by using a digital MCU with a lag algorithm. Because the fuel vehicle causes many environmental issues, the electric vehicle becomes a new tendency in vehicle fields. The voltage of power battery is very high and can’t charge for lead-acid battery directly, so DC-DC converter is an essential device. In order to absorb the advantage of digital converter and meet the requirement of widely range input voltage, a digital DC-DC converters for electric vehicle is proposed. The BUCK and half bridge topology was anal

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Maszczyk, Adam, Robert Roczniok, Przemysław Pietraszewski, Arkadiusz Stanula, Adam Zając, and Artur Gołaś. "Time Series Approach To Athletes Motor Potential." Polish Journal of Sport and Tourism 19, no. 2 (November 1, 2012): 103–6. http://dx.doi.org/10.2478/v10197-012-0010-5.

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AbstractIntroduction. The aim of this study was to determine the dynamics of changes in selected motor abilities of javelin throwers and to determine predictors of javelin throw distances. Material and methods. Research material included the results obtained from a group of 60 competitors from the Silesia Region of Poland, aged 14 - 15 years. In order to answer the research question, the following statistical analysis were employed: Pearson's linear correlation coefficients, vectors R0 and R1, time series analysis, distributed lag analysis and Almon distributed lag analysis and coefficient of

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Klepáč, Václav, and David Hampel. "Prediction of Bankruptcy with SVM Classifiers Among Retail Business Companies in EU." Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 64, no. 2 (2016): 627–34. http://dx.doi.org/10.11118/actaun201664020627.

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Article focuses on the prediction of bankruptcy of the 850 medium-sized retail business companies in EU from which 48 companies gone bankrupt in 2014 with respect to lag of the used features. From various types of classification models we chose Support vector machines method with linear, polynomial and radial kernels to acquire best results. Pre-processing is enhanced with filter based feature selection like Gain ratio, Chi-square and Relief algorithm to acquire attributes with the best information value. On this basis we deal with random samples of financial data to measure prediction accurac

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Quero, David, Pierre Vuillemin, and Charles Poussot-Vassal. "A Generalized State-Space Aeroservoelastic Model Based on Tangential Interpolation." Aerospace 6, no. 1 (January 15, 2019): 9. http://dx.doi.org/10.3390/aerospace6010009.

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In this work, a new approach for the generation of a generalized state-space aeroservoelastic model based on tangential interpolation is presented. The resulting system of differential algebraic equations (DAE) is reduced to a set of ordinary differential equations (ODE) by residualization of the non-proper part of the transfer function matrix. The generalized state-space is of minimal order and allows for the application of the force summation method (FSM) for the aircraft loads recovery. Compared to the classical rational function approximation (RFA) approach, the presented method provides a

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Demetrescu, Matei, and Uwe Hassler. "(WHEN) DO LONG AUTOREGRESSIONS ACCOUNT FOR NEGLECTED CHANGES IN PARAMETERS?" Econometric Theory 32, no. 6 (July 13, 2015): 1317–48. http://dx.doi.org/10.1017/s0266466615000225.

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To construct forecasts for time series exhibiting breaks, the paper examines long autoregressions, where the number of lags is growing with T, and possible breaks are simply ignored. The paper shows that the OLS estimators are still elementwise consistent for the true autoregressive coefficients when neglecting a break in mean, but the sum of the estimators converges to unity. Thanks to this unit-root like behavior of the fitted model, the resulting conditional forecasts are consistent for the true values. As long as the dynamic structure is invariant, the robustness property of the forecasts

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Dobrzański, Przemysław, and Witold Oleksiak. "Design and Analysis Methods for Composite Bonded Joints." Transactions on Aerospace Research 2021, no. 1 (March 1, 2021): 45–63. http://dx.doi.org/10.2478/tar-2021-0004.

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Abstract A literature review on existing design and analysis methods for composite adhesively bonded joints has been conducted. Methods that might form a basis for development of practical engineering methodology for adhesively bonded joints were selected and described. Starting from the simplest and the fastest analytical methods (closed-form solutions): average shear stress, shear lag model and adhesive beam model through more complex and more time consuming numerical methods supported by finite element analysis: global models, local models, cohesive zone models. Assumptions and applicabilit

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Rahmati, Omid, Zahra Kalantari, Mahmood Samadi, Evelyn Uuemaai, Davoud Davoudi Moghaddam, Omid Asadi Nalivan, Georgia Destouni, and Dieu Tien Bui. "GIS-Based Site Selection for Check Dams in Watersheds: Considering Geomorphometric and Topo-Hydrological Factors." Sustainability 11, no. 20 (October 13, 2019): 5639. http://dx.doi.org/10.3390/su11205639.

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Check dams are widely used watershed management measures for reducing flood peak discharge and sediment transport, and increasing lag time and groundwater recharge throughout the world. However, identifying the best suitable sites for check dams within the stream networks of various watersheds remains challenging. This study aimed to develop an open-source software with user-friendly interface for screening the stream network possibilities and identifying and guiding the selection of suitable sites for check dams within watersheds. In this developed site selection software (SSS), multi-criteri

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Takeyasu, Kazuhiro. "Analysis of the Preference Shift of Customer Brand Selection and its Matrix Structure : Expansion of its Block Matrix to the Third Order Lag and Compression of the Variables." Industrial Engineering & Management Systems 17, no. 3 (September 30, 2018): 434–43. http://dx.doi.org/10.7232/iems.2018.17.3.434.

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Pont, Adam R., Anna R. Charron, Roselyn M. Wilson, and Rhonda M. Brand. "Effects of active sunscreen ingredient combinations on the topical penetration of the herbicide 2,4-dichlorophenoxyacetic acid." Toxicology and Industrial Health 19, no. 1 (February 2003): 1–8. http://dx.doi.org/10.1191/0748233703th172oa.

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Sunscreen use can reduce the incidence of certain skin cancers. However, a number of commercially available formulations have been shown to enhance the transdermal penetration of the herbicide 2,4-dichlorophenoxyacetic acid (2,4-D). Most of the active ingredients used in these compounds can individually act as penetration enhancers. Commercial sunscreens frequently contain multiple active ingredients in order to provide broad sunscreen protection. The purpose of this study was therefore to examine the effect of these active ingredient combinations on the transdermal absorption of 2,4-D in vitr

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Geng, Ruibin, Shichao Wang, Xi Chen, Danyang Song, and Jie Yu. "Content marketing in e-commerce platforms in the internet celebrity economy." Industrial Management & Data Systems 120, no. 3 (January 6, 2020): 464–85. http://dx.doi.org/10.1108/imds-05-2019-0270.

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Purpose With the popularity of social media and, recently, live streaming, internet celebrity endorsements have become a prevalent approach to content marketing for e-commerce sellers. Despite the widespread use of social media and online communities, empirical studies investigating the economic value of user-generated content (UGC) and marketer-generated content (MGC) still lag behind. The purpose of this paper is to contribute both theoretically and practically to capture both first-order effects and second-order effects of internet celebrity endorsements on marketing outcomes in an e-commer

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Moreno-Andrade, I., and G. Buitrón. "Influence of the origin of the inoculum on the anaerobic biodegradability test." Water Science and Technology 49, no. 1 (January 1, 2004): 53–59. http://dx.doi.org/10.2166/wst.2004.0017.

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Five different sources of inocula were studied to determine its influence on biodegradability tests. Inocula were characterized determining granulometry, specific methanogenic activity, solids content, and volumetric sludge index. Also, the fermentative, aceticlastic, hydrogenophilic, OPHA, and sulfate-reducing groups were determined by the most probable number technique. Anaerobic biodegradability tests were conducted with two different substrates, one easy to degrade (glucose) and a toxic one (phenol). The best performance, in terms of percent of biodegradation and lag time, for both substra

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Trang, Michael, Justin C. Bader, Eric A. Ople, William G. Kramer, Michael R. Hodges, Sujata M. Bhavnani, and Christopher M. Rubino. "1340. Population Pharmacokinetic (PK) Analysis of APX001 Using Phase 1 Data." Open Forum Infectious Diseases 5, suppl_1 (November 2018): S409—S410. http://dx.doi.org/10.1093/ofid/ofy210.1172.

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Abstract Background APX001 is a novel antifungal agent which is rapidly converted to the active metabolite APX001A. APX001A exhibits in vitro activity against many clinically important yeast and fungi, including echinocandin- and azole-resistant Candida species. Given this activity, intravenous (IV) and oral (PO) formulations of APX001 are being developed for the treatment of patients with candidemia or invasive candidiasis. Phase 1 data were used to develop a population PK (PPK) model to describe the time-course of APX001A in plasma. Methods The PPK model was developed using 3,736 plasma PK s

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Vinayagathasan, T., and R. Ramesh. "Do Governance Indicators Matter for Economic Growth? The Case of Sri Lanka." Indian Journal of Public Administration 65, no. 2 (June 2019): 430–50. http://dx.doi.org/10.1177/0019556119844616.

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This study attempts to identify the impact of governance indicators on economic growth using time series data for Sri Lanka from 1996 to 2016 published by the World Bank. The Phillips–Perron (PP) unit root test confirmed that all the variables are integrated in order one and suggested the use of cointegration technique to identify the long-run relationship between the variables. All the lag length selection criteria except Schwarz Information Criterion (SIC) advocated the use of one lag as an optimal lag length for this study. Johansen cointegration method detected three cointegrating relation

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Pang, Xun. "Modeling Heterogeneity and Serial Correlation in Binary Time-Series Cross-sectional Data: A Bayesian Multilevel Model with AR(p) Errors." Political Analysis 18, no. 4 (2010): 470–98. http://dx.doi.org/10.1093/pan/mpq019.

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This paper proposes a Bayesian generalized linear multilevel model with apth-order autoregressive error process to analyze unbalanced binary time-series cross-sectional (TSCS) data. The model specification is motivated by the generic TSCS data structure and is intended to handle the associated inefficiency and endogeneity problems. It accommodates heterogeneity across units and between time periods in the form of random intercepts and random-effect coefficients. At the same time, itspth-order autoregressive error process, employed either by itself or in concert with other dynamic methods, adeq

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Rekwot, Grace Zibah, Anosike Francis Ugo, and Oke-Egbodo Brenda Engo. "Climate Variability and Livestock Production in Nigeria: Lessons for Sustainable Livestock Production." Agricultura Tropica et Subtropica 49, no. 1-4 (December 1, 2016): 30–37. http://dx.doi.org/10.1515/ats-2016-0004.

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Abstract The study examined the relationship between climate variability and livestock production and the lessons that can be drawn for achieving sustainable livestock production in Nigeria. The study employed time series data on annual rainfall and livestock production given by index of the aggregate livestock production over the period of 1970 to 2008. The data were obtained from various publications of the Central Bank of Nigeria and the Nigerian Meteorological Agency. The data were analyzed through the instrumentality of econometric tools such as Augmented Dickey Fuller (ADF) test, Vector

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Lang, K. M., and R. A. Spritz. "In vitro splicing pathways of pre-mRNAs containing multiple intervening sequences?" Molecular and Cellular Biology 7, no. 10 (October 1987): 3428–37. http://dx.doi.org/10.1128/mcb.7.10.3428.

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We analyzed the in vitro splicing pathways of three multi-intervening-sequence (IVS) pre-mRNAs: human beta-globin, which contains two IVSs (K. M. Lang, V. L. van Santen, and R. A. Spritz, EMBO J. 4:1991-1996, 1985); rat alpha-lactalbumin, which contains three IVSs; and murine interleukin-3, which contains four IVSs. We found that there are highly preferred pathways of IVS removal from these multi-IVS pre-mRNAs in vitro. The three IVSs of rat alpha-lactalbumin pre-mRNA were excised sequentially from 5' to 3'; in most molecules, IVS1 was removed first, followed by IVS2 and finally by IVS3. The s

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Lang, K. M., and R. A. Spritz. "In vitro splicing pathways of pre-mRNAs containing multiple intervening sequences?" Molecular and Cellular Biology 7, no. 10 (October 1987): 3428–37. http://dx.doi.org/10.1128/mcb.7.10.3428-3437.1987.

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We analyzed the in vitro splicing pathways of three multi-intervening-sequence (IVS) pre-mRNAs: human beta-globin, which contains two IVSs (K. M. Lang, V. L. van Santen, and R. A. Spritz, EMBO J. 4:1991-1996, 1985); rat alpha-lactalbumin, which contains three IVSs; and murine interleukin-3, which contains four IVSs. We found that there are highly preferred pathways of IVS removal from these multi-IVS pre-mRNAs in vitro. The three IVSs of rat alpha-lactalbumin pre-mRNA were excised sequentially from 5' to 3'; in most molecules, IVS1 was removed first, followed by IVS2 and finally by IVS3. The s

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Oyakhilomen, Oyinbo. "Causality of Interest Rate Policy and Agricultural Production in an Atmosphere of Economic Deregulation in Nigeria." Agricultura Tropica et Subtropica 47, no. 2 (June 1, 2014): 68–71. http://dx.doi.org/10.2478/ats-2014-0009.

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Abstract This study was carried out to examine the causal relationship between interest rate policy and agricultural production in a deregulated economic setting in Nigeria using time series data covering 1987 to 2011. The data utilized include data on interest rate and agricultural production which were obtained from various publications of central bank of Nigeria. Augmented Dickey Fuller (ADF) test, Vector autoregression (VAR) lag order selection test and granger causality test were employed in the data analysis and the result indicated that market driven interest rate was not significant in

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Wang, Cheng-Chi, Cheng-Hung Lee, Ning-Chien Chin, Kun-Hui Chen, Chien-Chou Pan, and Kuo-Chih Su. "Biomechanical analysis of the treatment of intertrochanteric hip fracture with different lengths of dynamic hip screw side plates." Technology and Health Care 28, no. 6 (November 17, 2020): 593–602. http://dx.doi.org/10.3233/thc-202248.

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BACKGROUND: Dynamic hip screw (DHS) is a common implant used to treat stable-type intertrochanteric hip fractures. There are many factors that can affect the success rate of the surgery, including the length of side plates. It is therefore important to investigate the biomechanical effect of different DHS side plates on bones. OBJECTIVE: In order to reduce the likelihood of an implant failure, the aim of this study was to use finite element analysis (FEA) to investigate and understand the effect of side plates with different lengths in DHS. METHODS: In this FEA study, a 3D model with cortical

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Ryabchikov, M. Yu, E. S. Ryabchikova, and S. A. Filippov. "A Fuzzy Logic-Based System for Controlling the Temperature of Steam Exiting a Superheater for the Purpose of Preemptive Perturbation Compensation." Mekhatronika, Avtomatizatsiya, Upravlenie 22, no. 4 (April 5, 2021): 181–90. http://dx.doi.org/10.17587/mau.22.181-190.

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This paper discusses the issue of adjusting the temperature of steam exiting a superheater in an environment that is affected by perturbations due to the sudden and significant fluctuations in the inlet steam temperature. Using the superheater at the Magnitogorsk Iron & Steel Works as an example, we highlight that a slow response to the aforementioned perturbations in the systems that adjust for deviations leads to undesired rises and drops in the outlet steam temperature. We review the current suggestions on adjusting the temperature of steam exiting a superheater and determine the main r

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Parveen, Shabana, Bibi Aisha Sadiqa, Sher Ali, and Farrah Yasmin. "Impact of Private Investment, Economic Growth and Financial Development on Environmental Degradation: Evidence from Pakistan." Review of Economics and Development Studies 7, no. 1 (March 20, 2021): 13–24. http://dx.doi.org/10.47067/reads.v7i1.313.

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Private investment plays an important role in the process of economic growth and also impact natural environment of a country. The main purpose of the present study is to empirically analyze the impact of private investment and other macro economic variables on environmental degradation of Pakistan. For the purpose, time series data is collected for the years 1975 to 2017. The study used Linear regression model for analyzing the impact of private investment, energy consumption, financial development and economic growth on environmental degradation. Augmented Dickey Fuller (ADF) test and Philli

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Hartbauer, M., L. Haitzinger, M. Kainz, and H. Römer. "Competition and cooperation in a synchronous bushcricket chorus." Royal Society Open Science 1, no. 2 (October 2014): 140167. http://dx.doi.org/10.1098/rsos.140167.

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Synchronous signalling within choruses of the same species either emerges from cooperation or competition. In our study on the katydid Mecopoda elongata , we aim to identify mechanisms driving evolution towards synchrony. The increase of signal amplitude owing to synchronous signalling and the preservation of a conspecific signal period may represent cooperative mechanisms, whereas chorus synchrony may also result from the preference of females for leading signals and the resulting competition for the leader role. We recorded the timing of signals and the resulting communal signal amplitudes i

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Kettunen, Pyry. "Experiment on People’s Selection of Route Landmarks from Different Types of Geospatial Pictures." Abstracts of the ICA 1 (July 15, 2019): 1–2. http://dx.doi.org/10.5194/ica-abs-1-172-2019.

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<p><strong>Abstract.</strong> Different types of geospatial pictures, such as maps and aerial imagery, have varying potential to provide spatial knowledge for the viewers. Our earlier review has assessed different common types of geopictures with regard to their support for acquiring different types of spatial knowledge (Kettunen et al., 2012). The assessment was based on previous literature about geopicture experiments as well as analytical itemization of the information available on the pictures as a function of picture characteristics, namely vantage point, number of visib

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Hassani, Hossein, and Mohammad Reza Yeganegi. "Selecting optimal lag order in Ljung–Box test." Physica A: Statistical Mechanics and its Applications 541 (March 2020): 123700. http://dx.doi.org/10.1016/j.physa.2019.123700.

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Сенина, E. Senina, Прохорцов, A. Prokhortsov, Ивахно, N. Ivakhno, Федоров, and S. Fedorov. "Method for Registering Movement of the Chest at the Diagnosis of the Sleep Apnea." Journal of New Medical Technologies 21, no. 4 (October 8, 2014): 133–37. http://dx.doi.org/10.12737/7286.

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The paper considers the actual problem of the development of instrumental methods of examination and diagnostics of carotid apnea. These methods don’t require the constant presence of health personnel and the expensive equipment. The authors proposed a method of registering movement of the chest using a micromechanical accelerometer with extremely small dimensions, low weight, power consumption and cost, along with sensor control oro-nasal flow and pulse oximeter, it allows the recognition of the type of apnea. During experimental studies, the accelerometer was placed on the chest, measuring t

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Lu, Yanhui, Vineet Goti, Ayyappa Chaturvedula, Jessica E. Haberer, Michael J. Fossler, Mark E. Sale, David Bangsberg, Jared M. Baeten, Connie L. Celum, and Craig W. Hendrix. "Population Pharmacokinetics of Tenofovir in HIV-1-Uninfected Members of Serodiscordant Couples and Effect of Dose Reporting Methods." Antimicrobial Agents and Chemotherapy 60, no. 9 (June 27, 2016): 5379–86. http://dx.doi.org/10.1128/aac.00559-16.

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ABSTRACTAntiretroviral preexposure prophylaxis (PrEP) with once-daily dosing of tenofovir and tenofovir-emtricitabine was shown to be effective for preventing HIV-1 infection in individuals who had HIV-1-seropositive partners (the Partners PrEP Study). We developed a population pharmacokinetic model for tenofovir and investigated the impacts of different dose reporting methods. Dosing information was collected as patient-reported dosing information (PRDI) from 404 subjects (corresponding to 1,280 drug concentration records) from the main trial and electronic monitoring-based adherence data col

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Tasman, Abel. "Capital Buffer dan Faktor Penentunya di Indonesia." Jurnal Inovasi Pendidikan Ekonomi (JIPE) 10, no. 2 (November 30, 2020): 132. http://dx.doi.org/10.24036/011098000.

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Capital buffer is defined as the difference between the bank's capital ratio and the capital adequacy ratio (Capital Adequacy Ratio) or CAR imposed by the Central Bank. Capital buffers can be used as capital reserves in times of various economic shocks so as to minimize risks faced by banks. A bank that has a high capital buffer reflects a high CAR as well, while a CAR that is too high is also not profitable for the bank, because this capital should be used for lending and investing in an effort to maximize profits. This study aims to determine the determinants of going public banking capital

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MATARAGAS, M., E. H. DROSINOS, P. SIANA, P. SKANDAMIS, and I. METAXOPOULOS. "Determination of the Growth Limits and Kinetic Behavior of Listeria monocytogenes in a Sliced Cooked Cured Meat Product: Validation of the Predictive Growth Model under Constant and Dynamic Temperature Storage Conditions." Journal of Food Protection 69, no. 6 (June 1, 2006): 1312–21. http://dx.doi.org/10.4315/0362-028x-69.6.1312.

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To describe the growth limits of Listeria monocytogenes NCTC10527 in a sliced vacuum-packaged cooked cured meat product, the binary logistic regression model was used to develop an equation to determine the probability of growth or no growth of L. monocytogenes as a function of temperature (from 0 to 10°C) and water activity (from 0.88 to 0.98). Two inoculum concentrations were used (10 and 104 CFU g−1), and the growth limits for the two inocula were different. The kinetic behavior of L. monocytogenes as a function of temperature (4, 8, 12, and 16°C) on the same meat product at the lower conce

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Shabana Parveen, Abdul Qayyum Khan, and Sohail Farooq. "The Causal Nexus of Urbanization, Industrialization, Economic Growth and Environmental Degradation: Evidence From Pakistan." Review of Economics and Development Studies 5, no. 4 (December 31, 2019): 721–30. http://dx.doi.org/10.26710/reads.v5i4.883.

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The paper analyzes the causal relation between eeconomic growth, urbanization, industrialization and environmental degradation of Pakistan. The study used time series data for the sample span of 1975-2017, retrived from World Bank Development Indicators (WDI, 2017). Vector Auto Regressive (VAR) model is used for analyzing the causal link amongst the variables, namely economic growth, urbanization, industrialization and environmental degradation. The Granger causality test is used for identifying the order of the causal association. Before estimating VAR, Augmented Dickey Fuller (ADF) as well a

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Manoharan J, Samuel. "Flawless Detection of Herbal Plant Leaf by Machine Learning Classifier Through Two Stage Authentication Procedure." June 2021 3, no. 2 (June 22, 2021): 125–39. http://dx.doi.org/10.36548/jaicn.2021.2.005.

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Herbal plants are crucial to human existence for medical reasons, and they can also provide free oxygen to the environment. Many herbal plants are rich in therapeutic goods and also it includes the active elements that will benefit future generations. Many valuable plant species are being extinguished and destroyed as a result of factors such as global warming, population growth, occupational secrecy, a lack of government support for research, and a lack of knowledge about therapeutic plants. Due to the lag of dimensional factors such as length and width, many existing algorithms fail to recog

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Grinchel, Boris, and Evgeniya Nazarova. "Competitive Attractiveness of Regions as a Target of Development Strategies." Regionalnaya ekonomika. Yug Rossii, no. 1 (April 2021): 42–53. http://dx.doi.org/10.15688/re.volsu.2021.1.4.

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The article discusses the competitive attractiveness and improvement of the characteristics of the regions’ social and economic space that may attract resources and consumers. Competitiveness in such progress ensures the acceleration of the overall development of the country and individual territories. The article substantiates and tests by data from the Russians regions of the Southern Federal District the hypothesis that an increase in certain characteristics of competitive attractiveness in areas which are relevant for a given region and currently in demand by external and internal consumer

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Hasan, Arshad, and Zafar Mueen Nasir. "Macroeconomic Factors and Equity Prices: An Empirical Investigation by Using ARDL Approach." Pakistan Development Review 47, no. 4II (December 1, 2008): 501–13. http://dx.doi.org/10.30541/v47i4iipp.501-513.

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The relationship between macroeconomic variables and the equity prices has attracted the curiosity of academicians and practitioners since the publication of seminal paper of Chen, et al. (1986). Many empirical studies those tested the relationship reveal that asset pricing theories do not properly identify macroeconomic factors that influence equity prices [Roll and Ross (1980); Fama (1981); Chen, et al. (1986); Hamao (1986); Faff (1988); Chen (1991); Maysami and Koh (2000) and Paul and Mallik (2001)]. In most of these studies, variable selection and empirical analyses is based on economic ra

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Jha, Abhishek. "Identification of the Factors for the Selection of Cement Brands by Construction Companies and Selection of Optimal Cement Brand using TOPSIS for Kathmandu Valley along with the Physical Strength Comparison of Various Cement Brands." Journal of Advanced Research in Civil and Environmental Engineering 07, no. 3&4 (November 27, 2020): 1–16. http://dx.doi.org/10.24321/2393.8307.202004.

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Cement comprises major proportion in any construction materials and the right selection of cement is equally important for construction companies. The objective of this research is to find the criteria used by the construction companies in cement selection and using the required criteria adopt TOPSIS (Technique of Order Preference by Similarity to Ideal Solution) as Multi Criteria Decision Making method for the selection of optimal cement brand among various cement brands for the construction projects in Kathmandu. Another objective is to find the physical characteristics of the selected cemen

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