Mitigating Instability in Electric Drive Vehicles Due to Time Varying Delays with Optimised Controller

The instability in the Electric vehicle would reduce the performance and even severely damage the system. This instability is mainly due to the random time-varying delays occurring in CAN network and the improper efficiency of controllers. This uncertainty and error occurrence makes it difficult to design the electric vehicles considering the advantages of Electric Vehicles being, the future to reduce harmful emissions due to fossil fuels, the instability can be mitigated by using optimized H∞ controller. The results of Simulations through MATLAB demonstrate the Effectiveness of the improved controller by comparing with the normal PI controller. The results of comparison illustrate the strength of explicitly

Global analysis of SUMO chain function reveals multiple roles in chromatin regulation.

Like ubiquitin, the small ubiquitin-related modifier (SUMO) proteins can form oligomeric chains, but the biological functions of these superstructures are not well understood. Here, we created mutant yeast strains unable to synthesize SUMO chains (smt3(allR)) and subjected them to high-content microscopic screening, synthetic genetic array (SGA) analysis, and high-density transcript profiling to perform the first global analysis of SUMO chain function. This comprehensive assessment identified 144 proteins with altered localization or intensity in smt3(allR) cells, 149 synthetic genetic interactions, and 225 mRNA transcripts (primarily consisting of stress- and nutrient-response genes) that displayed a \u3e1.5-fold increase in expression levels. This information-rich resource strongly implicates SUMO chains in the regulation of chromatin. Indeed, using several different approaches, we demonstrate that SUMO chains are required for the maintenance of normal higher-order chromatin structure and transcriptional repression of environmental stress response genes in budding yeast

Konfrontasi Antara Malaysia Dan Indonesia (1963 - 1966) Sebagai Satu Isu Dalam Perhubungan Antarabangsa

Kajian ini menggambarkan bagaimana Konfrontasi sebagai satu masalah politik antara Malaysia dan Indonesia menjadi satu isu dalam perhubungan antarabangsa. Konfrontasi dilihat dalam dimensi yang luas mencemakan bagaimana kuasa-kuasa besar mempergunakan isu ini sebagai percaturan ideologi di Asia Tenggara

Raw data for the identification of SUMOylated proteins in S. cerevisiae subjected to two types of osmotic shock, using affinity purification coupled with mass spectrometry

The small ubiquitin-related modifier (SUMO) “stress response” (SSR) is a poorly understood evolutionarily conserved phenomenon in which steady-state SUMO conjugate levels are dramatically increased in response to environmental stresses. Here we describe the data acquired using affinity-purification coupled with mass spectrometry to identify proteins that are SUMOylated in response to two different types of osmotic stress, 1 M sorbitol and 1 M KCl. The mass spectrometry dataset described here has been uploaded to the MassIVE repository with ID: MSV000078739, and consists of 32 raw MS files acquired in data-dependent mode on a Thermo Q-Exactive instrument. iProphet-processed MS/MS search results and associated SAINT scores are also included as a reference. These data are discussed and interpreted in “The S. cerevisiae SUMO stress response is a conjugation–deconjugation cycle that targets the transcription machinery”, by Lewicki et al. in the Journal of Proteomics, 2014 [1]

The GlycoPaSER Prototype as a Real-Time N-Glycopeptide Identification Tool Based on the PaSER Parallel Computing Platform

Real-time database searching allows for simpler and automated proteomics workflows as it eliminates technical bottlenecks in high-throughput experiments. Most importantly, it enables results-dependent acquisition (RDA), where search results can be used to guide data acquisition during acquisition. This is especially beneficial for glycoproteomics since the wide range of physicochemical properties of glycopeptides lead to a wide range of optimal acquisition parameters. We established here the GlycoPaSER prototype by extending the Parallel Search Engine in Real-time (PaSER) functionality for real-time glycopeptide identification from fragmentation spectra. Glycopeptide fragmentation spectra were decomposed into peptide and glycan moiety spectra using common N-glycan fragments. Each moiety was subsequently identified by a specialized algorithm running in real-time. GlycoPaSER can keep up with the rate of data acquisition for real-time analysis with similar performance to other glycoproteomics software and produces results that are in line with the literature reference data. The GlycoPaSER prototype presented here provides the first proof-of-concept for real-time glycopeptide identification that unlocks the future development of RDA technology to transcend data acquisition