473 research outputs found
The bait compatibility index: computational bait selection for interaction proteomics experiments
No full textProtein interaction network maps have been generated for multiple species, making use of large-scale methods such as yeast two-hybrid (Y2H) and affinity purification mass spectrometry (AP-MS). These methods take fundamentally different approaches toward characterizing protein networks, and the resulting data sets provide complementary views of the protein interactome. The specific determinants of the outcome of Y2H and AP-MS experiments, in terms of detection of interacting proteins are, however, poorly understood. Here we show that a statistical model built using sequence- and annotation- based features of bait proteins is able to identify bait features that are significant determinants of the outcome of interaction proteomics experiments. We show that bait features are able to explain in part the disparities observed between Y2H and AP-MS constructed networks and can be used to derive the “bait compatibility index”, a numeric score that assesses the compatibility of bait proteins with each technology. Aside from understanding the bias and limitations of interaction proteomics, our approach provides a rational, data-driven method for prioritization of baits for interaction proteomics experiments, an essential requirement for future proteome-wide applications of these technologies
Attitude towards Information and Communication Technology among Rural and Urban Primary and Secondary School Teachers of Punjab
No full textThe present study examined attitude towards information and communication technology among rural and urban primary and secondary school teachers of Punjab state. For this purpose, a sample of 400 teachers were selected randomly 200 rural teachers 100 primary and 100 secondary and 200 urban teachers again 100 primary and 100 secondary Parminder Kaur | Dr. Sunita Arya "Attitude towards Information and Communication Technology among Rural and Urban Primary and Secondary School Teachers of Punjab" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-3 , April 2019, URL: https://www.ijtsrd.com/papers/ijtsrd23131.pd
ON THE CELL BREATHING TECHNIQUE TO REDUCE CONGESTION APPLYING BANDWIDTH LIMITATION
No full textInternational Journal of Grid Computing & Applications (IJGCA)
ISSN : 0976-9404 [Online]; 2229-3949 [Print]
Parminder Kaur
Article Title: ON THE CELL BREATHING TECHNIQUE TO REDUCE CONGESTION APPLYING BANDWIDTH LIMITATION
ABSTRACT
In order to effectively analyze or evaluate the performance of Wireless Local Area Networks (WLANs), it is important to identify what types of network settings can cause bad performance in the network when analyzing poor network performance, there is an important factor which is responsible for poor performance is when a number of users may obtain a much larger share of the available bandwidth in access point in a limited boundary as provided in the concept of cell breathing technique. In this paper, we proposed a new concept in which we can set bandwidth limitation so that no user can access data more than the specified limit for a particular access point. In this way the different users will get an efficient access over the network.
KEYWORDS
Access Point, Bandwidth, Bandwidth Limitation, boundary, Cell Breathing, Wireless Local area network.
For More details please visit : http://www.airccse.org/journal/ijgca/ijgca.html
Original Source URL: http://airccse.org/journal/ijgca/papers/3112ijgca02.pd
Vocabulary development in form 5 ESL classes : investigating teachers' beliefs and practices / Parminder Kaur d/o B.pal Singh. Kir
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"PARP1 associates with R-loops to promote their resolution and genome stability"
No full textThis file contains supplementary information corresponding to the manuscript:
“PARP1 associates with R-loops to promote their resolution and genome stability”
Natalie Laspata, Parminder Kaur, Sofiane Yacine Mersaoui, Daniela Muoio, Zhiyan Silvia Liu, Maxwell
Henry Bannister, Hai Dang Nguyen, Caroline Curry, John M. Pascal, Guy G. Poirier, Hong Wang, Jean-
Yves Masson, Elise Fouquerel
Multi-disease big data analysis using beetle swarm optimization and an adaptive neuro-fuzzy inference system
Get PDFHealthcare organizations and Health Monitoring Systems generate large volumes of complex data, which offer the opportunity for innovative investigations in medical decision making. In this paper, we propose a beetle swarm optimization and adaptive neuro-fuzzy inference system (BSO-ANFIS) model for heart disease and multi-disease diagnosis. The main components of our analytics pipeline are the modified crow search algorithm, used for feature extraction, and an ANFIS classification model whose parameters are optimized by means of a BSO algorithm. The accuracy achieved in heart disease detection is 99.1% with 99.37% precision. In multi-disease classification, the accuracy achieved is 96.08% with 98.63% precision. The results from both tasks prove the comparative advantage of the proposed BSO-ANFIS algorithm over the competitor models
Evaluation of the gamma radiation shielding parameters of bismuth modified quaternary glass system
No full textSynthesis and characterization of structural and magnetic properties of polyaniline-cobalt ferrite (PA-CoFe) nanocomposites
No full textAn integrated molecular linkage map of diploid wheat based on a Triticum boeoticum x T. monococcum RIL population
No full textThe original publication is available at www.springerlink.comDiploid A genome species of wheat harbour immense variability for biotic stresses and productivity traits, and these could be transferred efficiently to hexaploid wheat through marker assisted selection, provided the target genes are tagged at diploid level first. Here we report an integrated molecular linkage map of A genome diploid wheat based on 93 recombinant inbred lines (RILs) derived from Triticum boeoticum × Triticum monococcum inter sub-specific cross. The parental lines were analysed with 306 simple sequence repeat (SSR) and 194 RFLP markers, including 66 bin mapped ESTs. Out of 306 SSRs tested for polymorphism, 74 (24.2%) did not show amplification (null) in both the parents. Overall, 171 (73.7%) of the 232 remaining SSR and 98 (50.5%) of the 194 RFLP markers were polymorphic. Both A and D genome specific SSR markers showed similar transferability to A genome of diploid wheat species. The 176 polymorphic markers, that were assayed on a set of 93 RILs, yielded 188 polymorphic loci and 177 of these as well as two additional morphological traits mapped on seven linkage groups with a total map length of 1,262 cM, which is longer than most of the available A genome linkage maps in diploid and hexaploid wheat. About 58 loci showed distorted segregation with majority of these mapping on chromosome 2Am. With a few exceptions, the position and order of the markers was similar to the ones in other maps of the wheat A genome. Chromosome 1Am of T. monococcum and T. boeoticum showed a small paracentric inversion relative to the A genome of hexaploid wheat. The described linkage map could be useful for gene tagging, marker assisted gene introgression from diploid into hexaploid wheat as well as for map based cloning of genes from diploid A genome species and orthologous genes from hexaploid wheat.Kuldeep Singh, Meenu Ghai, Monica Garg, Parveen Chhuneja, Parminder Kaur, Thorsten Schnurbusch, Beat Keller and H. S. Dhaliwa
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