164,172 research outputs found
Data associated with publication: "Separating geometric and diffusive contributions to the surface nucleation of dislocations in nanoparticles" by R. Ding, S. Azadehranjbar, I.M. Padilla Espinosa, A. Martini, and T.D.B. Jacobs, published in ACS Nano, 2024
Data associated with publication: "Separating geometric and diffusive contributions to the surface nucleation of dislocations in nanoparticles" by R. Ding, S. Azadehranjbar, I.M. Padilla Espinosa, A. Martini, and T.D.B. Jacobs, published in ACS Nano, 202
Dataset for paper "Effect of rail dynamics on curve squeal under constant friction conditions"
Dataset supports:
Ding, B., Squicciarini, G., & Thompson, D. (2019). Effect of rail dynamics on curve squeal under constant friction conditions. Journal of Sound and Vibration, 442, 183-199</span
The relationship of the ADP-ribosylating enzyme from S. solfataricus with DING proteins and its intracellular localization
The PARPSso thermoprotein from Sulfolobus solfataricus has been identified as a PARP-like enzyme that cleaves -NAD+ to synthesize oligomers of ADP-ribose and cross-reacts with polyclonal anti-PARP-1 catalytic site antibodies. Despite the biochemical properties that allow to correlate it to PARP enzymes, the N-terminal and partial amino acid sequence suggest the sulfolobal enzyme belongs to a different class of enzymes, the DING proteins. Considering the high sequence identity with the human DING protein HPBP and the lack of a nucleotide coding sequence in both human and sulfolobal genomes, we hypothesized that PARPSso might share other features with the human DING. Further analysis of PARPSso amino acid sequence addressed the research towards studying other possible similarities between human and sulfolobal protein and then to explain how PARPSso correlates with canonic PARPs. For the latter question, the peculiar behaviour of the thermozyme, that is biochemically, but not structurally related to the classic PARPs, stimulated to investigate by computational analysis and databank, whether the protein might be phylogenetically related to any already known PARP amino acid sequence.
Moreover, immunochemical and enzymatic crossed analyses were performed to establish whether purified HPBP and PARPSso have common immunoreactive and functional behaviour.
The second part of the research was focused on the localization of PARPSso within the sulfolobal cell. Our interest to this item arose from the property of some DING proteins to be membrane bound, suggested to work as membrane transporters. On the other hand, from previous studies, it is known that PARPSso is only partially solubilized from the starting cell homogenate provided by ICMIB (CNR), and the soluble enzyme is strictly associated with DNA. In this thesis work, whole cells collected by centrifugation from culture medium were subjected to a different extraction procedure. This procedure included also experimental conditions used to differentiate between soluble (i.e. cytoplasmic) and insoluble (i.e. membrane-bound) protein fractions. PARPSso and DNA distributions were determined by enzyme assay, immunoblotting and agarose gel electrophoresis. Reciprocal interactions of thermozyme, nucleic acid and membrane lipids were investigated with different techniques and methodologies (nucleoid preparation, fluorescence binding assays, fluorescence microscopy analysis)
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Code/Data for applying SVM to pain assay (CELL-REPORTS-D-18-01478R1 )
A Mouse Pain Scale: Assessment of Pain Sensation in Mice Using Sub-second Behavioral Mapping and Statistical ModelingCELL-REPORTS-D-18-01478R
MeSH term explosion and author rank improve expert recommendations
Information overload is an often-cited phenomenon that reduces the productivity, efficiency and efficacy of scientists. One challenge for scientists is to find appropriate collaborators in their research. The literature describes various solutions to the problem of expertise location, but most current approaches do not appear to be very suitable for expert recommendations in biomedical research. In this study, we present the development and initial evaluation of a vector space model-based algorithm to calculate researcher similarity using four inputs: 1) MeSH terms of publications; 2) MeSH terms and author rank; 3) exploded MeSH terms; and 4) exploded MeSH terms and author rank. We developed and evaluated the algorithm using a data set of 17,525 authors and their 22,542 papers. On average, our algorithms correctly predicted 2.5 of the top 5/10 coauthors of individual scientists. Exploded MeSH and author rank outperformed all other algorithms in accuracy, followed closely by MeSH and author rank. Our results show that the accuracy of MeSH term-based matching can be enhanced with other metadata such as author rank
Hybrid Materials Based on Carbon Nanotubes and Graphene: Synthesis, Interfacial Processes, and Applications in Chemical Sensing
Development of hybrid nanostructures based on two or more building blocks can significantly expand the complexity and functionality of nanomaterials. For the specific objective of advanced sensing materials, single-walled carbon nanotubes and graphene have been recognized as ideal platforms, because of their unique physical and chemical properties. Other functional building blocks include polymers, metal and metal oxide nanostructures, and each of them has the potential to offer unique advances in the hybrid systems. In any case of constructing hybrid nanostructures, challenges exist in the controlling of composition, morphology and structure of different nanoscale building blocks, as well as the precise placement of these building blocks in the final assembly. Both objectives require systematical exploration of the synthetic conditions. Furthermore, there has been an increasing recognition of the fundamental importance of interface within the nanohybrid systems, which also requires detailed investigation.
We have successfully developed several innovative synthetic strategies to regulate the assembly of nanoscale building blocks and to control the morphology of the hybrid systems based on graphitic carbon nanomaterials. We demonstrate the importance of surface chemistry of each building block in these approaches. Moreover, interfacial processes in the hybrid system have been carefully investigated to elucidate their impacts on the functions of the hybrid products.
Specifically, we explored the synthesis and characterization of hybrid nanomaterials based on single-walled carbon nanotubes and graphene, with other building blocks including conducting polymers, metal, metal oxide and ceramic nanostructures. We demonstrated the development of core/shell morphology for polyaniline and titanium dioxide functionalized single-walled carbon nanotubes, and we showed a bottom-up synthesis of metal nanostructures that involves directed assembly and nanowelding of metal nanoparticles on the graphitic surfaces. Through electrical, electrochemical and spectroscopic characterizations, we further investigated their surface chemistry, interfacial interaction/processes, as well as their fundamental influence on the performance of the hybrid systems. We showed improved or even synergic properties for each hybrid system. Their chemical sensitivities, material stabilities, and charge separation efficiency were superior to individual components. These properties hold great promise in the real-world sensor applications, and can potentially benefit other research fields such as catalysis and green energy
Ding projective and Ding injective modules over trivial ring extensions
summary:Let be a trivial extension of a ring by an --bimodule such that , , and have finite flat dimensions. We prove that is a Ding projective left -module if and only if the sequence is exact and is a Ding projective left -module. Analogously, we explicitly describe Ding injective -modules. As applications, we characterize Ding projective and Ding injective modules over Morita context rings with zero bimodule homomorphisms
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