http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
- 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
- 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
RISS 인기검색어
- 검색키워드
- 저자 : Chandran K. R. (검색결과 4 건)
- 무료
- 기관 내 무료
- 유료
-
K.W. Goh,Y.H. Wong,R.S.K. Singh,Hari Chandran,S.K. Wong,K.Y. Sara Lee 한양대학교 세라믹연구소 2022 Journal of Ceramic Processing Research Vol.23 No.2
The extraction of calcium from natural biowaste material such as chicken eggshells have been shown to be viable to synthesiscalcium phosphate bioceramic. In this work, eggshell-derived hydroxyapatite powder was synthesised by using the wetchemical precipitation technique coupled with microwave irradiation at low power (700 W) at varying exposure time from 5to 30 min. The derived nano-powders were examined to determine the phases present, chemical bonding and microstructuralevolution. It was revealed that the irradiation time has an effect on the degree of crystallinity and both the crystallite andparticle size of the derived powders although the hydroxyapatite phase stability was not disrupted. An exposure time of 15 min. was determined to be sufficient when subjected to low power microwave irradiation to formed a well-defined needle-likehydroxyapatite particles having an average crystallite size of about 22 nm. On the contrary to many literatures, this study hasdemonstrated the viability of synthesizing a useful bioceramic from using biowaste eggshells coupled with microwaveirradiation at low power of 700 W for very short period of time to produce nano-range needle-like hydroxyapatite particlessuitable for biomedical application.
-
Chandran, A.K.N.,Priatama, R.A.,Kumar, V.,Xuan, Y.,Je, B.I.,Kim, C.M.,Jung, K.H.,Han, C.d. G. Fischer 2016 Journal of plant physiology Vol.200 No.-
<P>Nitrogen (N) is the most important macronutrient for plant growth and grain yields. For rice crops, nitrate and ammonium are the major N sources. To explore the genomic responses to ammonium supplements in rice roots, we used 17-day-old seedlings grown in the absence of external N that were then exposed to 0.5 mM (NH4)(2)SO4 for 3 h. Transcriptomic profiles were examined by microarray experiments. In all, 634 genes were up-regulated at least two-fold by the N-supplement when compared with expression in roots from untreated control plants. Gene Ontology (GO) enrichment analysis revealed that those upregulated genes are associated with 23 GO terms. Among them, metabolic processes for diverse amino acids (i.e., aspartate, threonine, tryptophan, glutamine, L-phenylalanine, and thiamin) as well as nitrogen compounds are highly over-represented, demonstrating that our selected genes are suitable for studying the N-response in roots. This enrichment analysis also indicated that nitrogen is closely linked to diverse transporter activities by primary metabolites, including proteins (amino acids), lipids, and carbohydrates, and is associated with carbohydrate catabolism and cell wall organization. Integration of results from omics analysis of metabolic pathways and transcriptome data using the MapMan tool suggested that the TCA cycle and pathway for mitochondrial electron transport are co-regulated when rice roots are exposed to ammonium. We also investigated the expression of N-responsive marker genes by performing a comparative analysis with root samples from plants grown under different NH4+ treatments. The diverse responses to such treatment provide useful insight into the global changes related to the shift from an N-deficiency to an enhanced N-supply in rice, a model crop plant. (C) 2016 Elsevier GmbH. All rights reserved.</P>
-
Integrative Functional Genomic Analyses Implicate Specific Molecular Pathways and Circuits in Autism
Parikshak, Neelroop N.,Luo, R.,Zhang, A.,Won, H.,Lowe, Jennifer K.,Chandran, V.,Horvath, S.,Geschwind, Daniel H. Cell Press ; MIT Press 2013 Cell Vol.155 No.5
Genetic studies have identified dozens of autism spectrum disorder (ASD) susceptibility genes, raising two critical questions: (1) do these genetic loci converge on specific biological processes, and (2) where does the phenotypic specificity of ASD arise, given its genetic overlap with intellectual disability (ID)? To address this, we mapped ASD and ID risk genes onto coexpression networks representing developmental trajectories and transcriptional profiles representing fetal and adult cortical laminae. ASD genes tightly coalesce in modules that implicate distinct biological functions during human cortical development, including early transcriptional regulation and synaptic development. Bioinformatic analyses suggest that translational regulation by FMRP and transcriptional coregulation by common transcription factors connect these processes. At a circuit level, ASD genes are enriched in superficial cortical layers and glutamatergic projection neurons. Furthermore, we show that the patterns of ASD and ID risk genes are distinct, providing a biological framework for further investigating the pathophysiology of ASD.
-
Dynamic Modeling and Validation of PEM Fuel Cell via System Identification Approach
Pinagapani Arun Kumar,Mani Geetha,Chandran K. R.,Pandian Karthik,Sawantmorye Eshwar,Vaghela Purvil 대한전기학회 2021 Journal of Electrical Engineering & Technology Vol.16 No.4
The key issues with non-renewable energy resources are the harmful pollutants they produce. They also pose serious threat to human life and lead to severe atmospheric devastation. Hence, they become non-viable for future generations. With the innovation of fuel cell technology, these diffi culties are wiped out. Fuel Cell technology is considered as the most effi cient and environmental friendly type of energy production. Among the diff erent types of fuel cells, Proton-Exchange Membrane Fuel Cell (PEMFC) is the most distributed type and are widespread in the market, because of its lower operating temperature, reliable performance to frequent load changes, higher effi ciency and good power density. This work primarily focuses on the dynamic modeling and simulation of PEMFC. A voltage model for PEMFC is developed based on experimental data. Estimation of the system model is done by using system identifi cation toolbox in MATLAB. Validation of the estimated model is performed by comparing the estimated model response with fi rst principle nonlinear PEMFC model and with a diff erent real time data.
연관 검색어 추천
이 검색어로 많이 본 자료
활용도 높은 자료
