Hsp104 disaggregase provides thermotolerance in yeast by recovering proteins from aggregates in cooperation with the Hsp70 chaperone. Protein disaggregation involves polypeptide extraction from aggregates and its translocation through the central channel of the Hsp104 hexamer. This process relies on adenosine triphosphate (ATP) hydrolysis. Considering that Hsp104 is characterized by low affinit...

The small heat shock protein IbpB of Escherichia coli can accelerate protein disaggregation from inclusion body by Hsp100-Hsp70 re-activation system in vitro. It was therefore hypothesized that overexpression of IbpB might be able to promote protein disaggregation from inclusion body, by which more soluble recombinant proteins would be obtained. The overexpression of IbpB actually enhanced prod...

AGGREGATION AND DISAGGREGATION IN MARKOV DECISION MODELS FOR INVENTORY CONTROL

amyloid-β (aβ) self-assembly into cross-β amyloidfibrils is implicated in a causative role in alzheimer’s disease pathology.uncertainties persist regarding the mechanisms of amyloid self assembly and the role of metastable prefibrillar aggregates. aβ fibrilsfeature a sheet-turn-sheet motif in the constituent β-strands; as such, turn nucleation has been proposed as a rate-limiting step in the se...

Global Climate Models (GCMs) precipitation scenarios are often characterized by biases and coarse resolution that limit their direct application for basin level hydrological modeling. Bias-correction and spatial disaggregation methods are employed to improve the quality of ECHAM4/OPYC SRES A2 and B2 precipitation for the Ping River Basin in Thailand. Bias-correction method, based on gamma-gamma...

In the context of spatial analysis, spatial disaggregation or spatial downscaling are processes by which information at a coarse spatial scale is translated to finer scales, while maintaining consistency with the original dataset. Fine grained descriptions of geographical information is a key resource in fields such as social-economic studies, urban and regional planning, transport planning, or...

Resource disaggregation can provide significant improvements in the utilization of resources in the datacenter. A Google cluster trace analysis confirms that up to 70% of memory may be recovered with resource disaggregation. However, resource disaggregation in the cloud is currently unfeasible due to the hardware and network changes required by previously proposed designs. We make the observati...

In this paper, reduced nonlinear refinery models are developed by generating and using input-output data from a process simulator. In particular, rigorous process models of continuous catalytic reformer (CCR) and nfaphtha splitter units are used for generating the data. To deal with complexity associated with large amounts of data, that is usually available in the refineries, a disaggregation-a...

Water end-use disaggregation from smart-metered water consumption data is key to design water demand management strategies. Yet, despite large investments for smart metering networks, few water utilities are actually exploiting the potential of end-use-based consumer profiling. This is mostly due to the intrusiveness of existing disaggregation algorithms, which require intensive and time consum...

One primary characteristic of chondrite groups is their distinctive size-frequency chondrule distributions [1,2, 3]. The restricted ranges of chondrule size has been interpreted as indicative of a sorting mechanism, such as some form of aerodynamic drag [3, 4]. We re-examine this concept in light of the current database. The database and its limitations. Chondrule sizes are typically determined...