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Article | 28-August-2018

EFFECT OF METAKAOLIN DEVELOPED FROM LOCAL NATURAL MATERIAL SOORH ON WORKABILITY, COMPRESSIVE STRENGTH, ULTRASONIC PULSE VELOCITY AND DRYING SHRINKAGE OF CONCRETE

The utilization of pozzolanic materials like metakaolin (MK) in cement mortar and concrete is growing in construction industry all around the world to reduce the CO2 release into the atmosphere and reduce energy consumption. This study instigates the performance of concrete containing locally developed metakaolin in terms of workability, unit weight, compressive strength, ultrasonic pulse velocity and drying shrinkage of concrete. The Portland cement (PC) is replaced by inclusion of developed

Abdullah SAAND, Manthar Ali KEERIO, Daddan khan BANGWAR

Architecture, Civil Engineering, Environment, Volume 10 , ISSUE 2, 115–122

Article | 01-June-2016

MULTI-SCALE COMPRESSED SENSING BASED ON SPLIT AUGMENTED LAGRANGIAN SHRINKAGE ALGORITHM FOR IMAGE SUPER-RESOLUTION RECONSTRUCTION

- resolution can produce the low subbands with high frequency. And an split augmented lagrangian shrinkage algorithm is exploited for compressed sensing image reconstruction , which can improve reconstruction image quality and convergence rate. Experimental results has shown that the proposed method can reconstruct the image with less iterative time by using fewer samples, improve the computational efficiency as well as achieve the images with high quality.

Tian Shu-yao, Hu Chun-hai

International Journal on Smart Sensing and Intelligent Systems, Volume 9 , ISSUE 2, 563–579

Article | 11-July-2017

Improved Estimation of the Scale Parameter for Log-Logistic Distribution Using Balanced Ranked Set Sampling

Abstract In this article we have suggested some improved estimators of a scale parameter of log-logistic distribution (LLD) under a situation where the units in a sample can be ordered by judgement method without any error. We have also suggested some linear shrinkage estimator of a scale parameter of LLD. Efficiency comparisons are also made in this work.

Housila P. Singh, Vishal Mehta

Statistics in Transition New Series, Volume 18 , ISSUE 1, 53–74

Research paper | 06-February-2018

Effects of epidural compression on stellate neurons and thalamocortical afferent fibers in the rat primary somatosensory cortex

A number of neurological disorders such as epidural hematoma can cause compression of cerebral cortex. We here tested the hypothesis that sustained compression of primary somatosensory cortex may affect stellate neurons and thalamocortical afferent (TCA) fibers. A rat model with barrel cortex subjected to bead epidural compression was used. Golgi-Cox staining analyses showed the shrinkage of dendritic arbors and the stripping of dendritic spines of stellate neurons for at least 3 months post

Tzu-Yin Yeh, Guo-Fang Tseng, Chi-Yu Tseng, Yung-Hsin Huang, Pei-Hsin Liu

Acta Neurobiologiae Experimentalis, Volume 77 , ISSUE 1, 1–17

Article | 06-July-2017

A TWO-COMPONENT NORMAL MIXTURE ALTERNATIVE TO THE FAY-HERRIOT MODEL

This article considers a robust hierarchical Bayesian approach to deal with random effects of small area means when some of these effects assume extreme values, resulting in outliers. In the presence of outliers, the standard Fay-Herriot model, used for modeling area-level data, under normality assumptions of random effects may overestimate the random effects variance, thus providing less than ideal shrinkage towards the synthetic regression predictions and inhibiting the borrowing of

Adrijo Chakraborty, Gauri Sankar Datta, Abhyuday Mandal

Statistics in Transition New Series, Volume 17 , ISSUE 1, 67–90

Research Article | 20-February-2013

DE-NOISING SIGNAL OF THE QUARTZ FLEXURAL ACCELEROMETER BY MULTIWAVELET SHRINKAGE

Zhao Chihang, Zhong Xin, Dang Qian, Zhao Liye

International Journal on Smart Sensing and Intelligent Systems, Volume 6 , ISSUE 1, 191–209

Article | 07-July-2017

TRADE PATTERN ON WARSAW STOCK EXCHANGE AND PREDICTION OF NUMBER OF TRADES

The main goal of this paper is to present the method for describing and predicting trade intensity on the Warsaw Stock Exchange. The approach is based on generalized linear models, the variable selection is performed using shrinkage methods such as the Lasso or Ridge regression. The variable under investigation is the number of trades of a particular stock 5-minute interval.The main conclusion is that the number of trades during short intervals is predictable in the sense that the prediction

Henryk Gurgul, Artur Machno

Statistics in Transition New Series, Volume 18 , ISSUE 1, 91–114

Research Article | 23-July-2018

A NEW METHOD FOR COVARIATE SELECTION IN COX MODEL

In a wide spectrum of natural and social sciences, very often one encounters a large number of predictors for time to event data. An important task is to select right ones, and thereafter carry out the analysis. The l1 penalized regression, known as “least absolute shrinkage and selection operator" (LASSO) became a popular approach for predictor selection in last two decades. The LASSO regression involves a penalizing parameter (commonly denoted by l) which controls the extent of

Ujjwal Das, Nader Ebrahimi

Statistics in Transition New Series, Volume 19 , ISSUE 2, 297–314

Research Article | 15-February-2020

On Evolution of CMOS Image Sensors

CMOS Image Sensors have become the principal technology in majority of digital cameras. They started replacing the film and Charge Coupled Devices in the last decade with the promise of lower cost, lower power requirement, higher integration and the potential of focal plane processing. However, the principal factor behind their success has been the ability to utilise the shrinkage in CMOS technology to make smaller pixels, and thereby have more resolution without increasing the cost. With the

Luiz Carlos Paiva Gouveia, Bhaskar Choubey

International Journal on Smart Sensing and Intelligent Systems, Volume 7 , ISSUE 5, 1–6

Research paper | 31-October-2017

POLICY-ORIENTED INFERENCE AND THE ANALYST-CLIENT COOPERATION. AN EXAMPLE FROM SMALL-AREA STATISTICS

Nicholas T. Longford

Statistics in Transition New Series, Volume 16 , ISSUE 1, 65–82

research-article | 30-November-2018

EVALUATION OF TIME DEPENDENT PRESTRESS LOSSES IN PRETENSIONED CONCRETE MEMBER WITH TOP AND BOTTOM TENDONS

1. INTRODUCTION Prestress losses in a pretensioned concrete member are divided into two groups: immediate and time dependent. The immediate losses include losses due to elastic shortening of concrete, short term relaxation of prestressing tendons, increasing the temperature while curing concrete, friction at the deflecting devices, and seating of strand in the anchorage device. The time dependent losses are losses due to relaxation of prestressing steel, creep and shrinkage of concrete

Vadzim PARKHATS, Rafał KRZYWOŃ

Architecture, Civil Engineering, Environment, Volume 12 , ISSUE 3, 105–112

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