http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Impact of Yield and Quality-Related Traits of Sugarcane on Sugar Recovery
Sundas Shahzad,Sajid Shokat,Naeem Fiaz,Amir Hameed 한국작물학회 2017 Journal of crop science and biotechnology Vol.20 No.1
Sugar recovery of Pakistani sugarcane varieties is relatively low as compared to the rest of the world while very little work is done on this aspect. The current study was conducted to tackle this issue and to assess the effect of quality and yielding traits on final sugar recovery. Sixty genotypes of sugarcane were sown during 2013 and data was collected at different growth stages during maturity and post maturity. Correlation studies indicated that polarity (0.77**) and purity (0.73**) were positively and significantly correlated with sugar recovery while brix% (-0.21**), fiber contents (-0.21**) and number of leaves per plant (-0.33**) were significant and negatively correlated with sugar recovery. Furthermore, leaf area was positively and significantly correlated with internode length (0.63**). Path coefficient analysis indicated that highest direct effect on sugar recovery was shown by purity (2.92), followed by brix% (2.48), and leaf area (0.66) which confirms that these traits could contribute more towards an increase of sugar recovery. Overall values of higher direct and indirect effects were observed by purity. The results of the current studies indicate that sugar recovery can be improved by focusing on purity, brix%, and leaf area.
Outlier Detection in Indoor Localization and Internet of Things (IoT) using Machine Learning
Mansoor Ahmed Bhatti,Rabia Riaz,Sana Shokat,Farina Riaz,Se Jin Kwon 한국통신학회 2020 Journal of communications and networks Vol.22 No.3
In Internet of things (IoT) millions of devices are intelligently connected for providing smart services. Especially in indoor localization environment, that is one of the most concerningtopic of smart cities, internet of things and wireless sensor networks. Many technologies are being used for localization purposein indoor environment and Wi-Fi using received signal strengths(RSSs) is one of them. Wi-Fi RSSs are sensitive to reflection, refraction, interference and channel noise that cause irregularity insignal strengths. The irregular and anomalous RSS values, used ina Wi-Fi indoor localization environment, cannot define the locationof any unknown node correctly. Therefore, this research has developed an outlier detection technique named as iF_Ensemblefor Wi-Fi indoor localization environment by analyzing RSSs using the combination of supervised, unsupervised and ensemble machine learning methods. In this research isolation forest (iForest)is used as an unsupervised learning method. Supervised learningmethod includes support vector machine (SVM), K-nearest neighbor (KNN) and random forest (RF) classifiers with stacking thatis an ensemble learning method. For the evaluation purpose accuracy, precision, recall, F-score and ROC-AUC curve are used. Theevaluation of used machine learning method provides high accuracy of 97.8 percent with proposed outlier detection methods andalmost 2 percent improvement in the accuracy of localization process in indoor environment after eliminating outliers.
Tak, Eunyoung,Lee, Seonmin,Lee, Jisun,Rashid, M.A.,Kim, Youn Wha,Park, Jae-Hoon,Park, Won Sang,Shokat, Kevan M.,Ha, Joohun,Kim, Sung Soo Elsevier 2011 Journal of hepatology Vol.54 No.2
<P><B>Background & Aims</B></P><P>Human carbonyl reductase1 (CBR1) has been reported to protect cells against lipid peroxidation. Since human hepatocellular carcinoma (HCC) cells are under oxidative stress in hypoxic conditions, we tested if CBR1 is upregulated by hypoxia inducible factor (HIF)-1α, helps tumor growth under hypoxia, and renders chemoresistance to cisplatin and doxorubicin in HCC.</P><P><B>Methods</B></P><P>Luciferase, EMSA, and chromatin immunoprecipitation (ChIP) assays were performed to analyze whether HIF-1α transactivates CBR1 promoter. CBR1 overexpression, siRNA, and inhibitors were used to study the role of CBR1 in tumor survival under hypoxia and chemoresistance to cisplatin and doxorubicin in HCC. FACS and Western blot analysis for oxidative stress markers were performed to measure ROS. Immunohistochemistry (IHC) was performed to analyze CBR1 expression in 78 cases of HCC and 123 cases of colon cancer tissues.</P><P><B>Results</B></P><P>The <I>CBR1</I> promoter was activated by HIF-1α. CBR1 overexpression enhanced cell survival by decreasing oxidative stress under hypoxia, cisplatin, and doxorubicin treatment. <I>CBR1</I>-siRNA increased apoptosis via increasing oxidative stress. Combinational therapy of CBR1 inhibitors with cisplatin or doxorubicin enhanced cell death in HCC cells. IHC showed CBR1 overexpression in 56 (72%) out of 78 HCC and 88 (72%) out of 123 colon cancer cases.</P><P><B>Conclusions</B></P><P>Overexpressed CBR1 by HIF-1α plays important roles in tumor growth under hypoxia and chemoresistance to anticancer drugs. The inhibition of CBR1 by specific inhibitors enhances anticancer drug efficacy in HCC. Therefore, we concluded that CBR1 is a good molecular target for the development of anticancer drugs for HCC patients.</P>
Rewiring of Genetic Networks in Response to DNA Damage
Bandyopadhyay, S.,Mehta, M.,Kuo, D.,Sung, M.-K.,Chuang, R.,Jaehnig, E. J.,Bodenmiller, B.,Licon, K.,Copeland, W.,Shales, M.,Fiedler, D.,Dutkowski, J.,Guenole, A.,van Attikum, H.,Shokat, K. M.,Kolodner American Association for the Advancement of Scienc 2010 Science Vol.330 No.6009
<P>Although cellular behaviors are dynamic, the networks that govern these behaviors have been mapped primarily as static snapshots. Using an approach called differential epistasis mapping, we have discovered widespread changes in genetic interaction among yeast kinases, phosphatases, and transcription factors as the cell responds to DNA damage. Differential interactions uncover many gene functions that go undetected in static conditions. They are very effective at identifying DNA repair pathways, highlighting new damage-dependent roles for the Slt2 kinase, Pph3 phosphatase, and histone variant Htz1. The data also reveal that protein complexes are generally stable in response to perturbation, but the functional relations between these complexes are substantially reorganized. Differential networks chart a new type of genetic landscape that is invaluable for mapping cellular responses to stimuli.</P>
Discovery of nitrate–CPK–NLP signalling in central nutrient–growth networks
Liu, Kun-hsiang,Niu, Yajie,Konishi, Mineko,Wu, Yue,Du, Hao,Sun Chung, Hoo,Li, Lei,Boudsocq, Marie,McCormack, Matthew,Maekawa, Shugo,Ishida, Tetsuya,Zhang, Chao,Shokat, Kevan,Yanagisawa, Shuichi,Sheen, Nature Publishing Group, a division of Macmillan P 2017 Nature Vol.545 No.7654
Nutrient signalling integrates and coordinates gene expression, metabolism and growth. However, its primary molecular mechanisms remain incompletely understood in plants and animals. Here we report unique Ca<SUP>2+</SUP> signalling triggered by nitrate with live imaging of an ultrasensitive biosensor in Arabidopsis leaves and roots. A nitrate-sensitized and targeted functional genomic screen identifies subgroup III Ca<SUP>2+</SUP>-sensor protein kinases (CPKs) as master regulators that orchestrate primary nitrate responses. A chemical switch with the engineered mutant CPK10(M141G) circumvents embryo lethality and enables conditional analyses of cpk10 cpk30 cpk32 triple mutants to define comprehensive nitrate-associated regulatory and developmental programs. Nitrate-coupled CPK signalling phosphorylates conserved NIN-LIKE PROTEIN (NLP) transcription factors to specify the reprogramming of gene sets for downstream transcription factors, transporters, nitrogen assimilation, carbon/nitrogen metabolism, redox, signalling, hormones and proliferation. Conditional cpk10 cpk30 cpk32 and nlp7 mutants similarly impair nitrate-stimulated system-wide shoot growth and root establishment. The nutrient-coupled Ca<SUP>2+</SUP> signalling network integrates transcriptome and cellular metabolism with shoot–root coordination and developmental plasticity in shaping organ biomass and architecture.