in this research, the possibility of using high percentage of lignocellulosic fibers in making natural fiber-thermoplastic composite was studied. three weight percentages of bagasse flour namely 40, 55 and 70 percents were chosen. mapp was used as coupling agent at two weight percentages of pp, namely 0, 4 and 6 percents. tensile strength was measured applying instron 6025. the results showed t...

in this research, the effect of wood species and particle size on mechanicalproperties of wood plastic composites (wpc) made of fir (abies alba) and beech(fagus orientalis l.) sawdust and high density polyethylene (hdpe) wereinvestigated. wood plastic composite (wpc) were made with 30% hdpe in abatch process at 185˚c, at two particle sizes of 40 mesh and 80 mesh. maleicanhydride polypropylene (...

Bu çalışma kapsamında profil çekme makinesinden çıkan atık dahoma odun ununun polipropilen (PP) bazlı plastik kompozit üretiminde dolgu maddesi olarak kullanımının malzemelerin mekanik ve morfolojik özellikleri üzerine etkileri incelenmiştir. Atık unları fabrikadan alındığı gibi dört farklı oranda (%0, %15, %30 %45) kullanılmıştır. unlarının boyut analizi gerçekleştirilmiştir. Uyumlaştırıcı %3 ...

This paper explores how party-specific contextual factors explain variations in membership levels. Based on a subset of MAPP data that includes 2898 yearly points for 262 parties 24 countries over period from 1990 to 2014, it examines three sets explanations: the lifecycle model (party age), bandwagon (electoral performances and governemental participation), competition (effective number partie...

Depression is common in premanifest Huntington's disease (preHD) and results in significant morbidity. We sought to examine how variations in structural and functional brain networks relate to depressive symptoms in premanifest HD and healthy controls. Brain networks were constructed using diffusion tractography (70 preHD and 81 controls) and resting state fMRI (92 preHD and 94 controls) data. ...

In this article a multi-subject vector autoregressive (VAR) modeling approach was proposed for inference on effective connectivity based on resting-state functional MRI data. Their framework uses a Bayesian variable selection approach to allow for simultaneous inference on effective connectivity at both the subject- and group-level. Furthermore, it accounts for multi-modal data by integrating s...

Acknowledgements We thank Professor B.N. Goswami for his constructive comments in an early version of the manuscript. This study was jointly supported by the National Natural Science Foundation of China (Grant Nos. 41420104002 and 41371209) (J. Liu and B.W.), and the Priority Academic Program Development of Jiangsu Higher Education Institutions (Grant No. 164320H116) (J. Liu), the US National S...