54 research outputs found
The Arts and Crafts Center of Vrancea: For the Simple Romanian People and the World
No full textThe thesis aims to show how culture tradition and identity are important in a country's economy and modernization. The location the project focuses in is Vrancea, a mountainous county in Romania. The problem with Vrancea is that the villages currently don't get enough benefits from the government, which doesn't provide enough economical stability for the people. After studying the area it was concluded that the primary expression of culture and tradition came from the Arts and Crafts of the region. Vrancea has certain culture and tradition that other counties in Romania don't practice. The Arts and Crafts center will not only bring in tourism and create an economic benefit for the villages, but it will also unite the villages and allow them to express their own identity. The Arts and Crafts center will play the role of a community, create interaction with the tourists and help the villagers have more stability in their lives.Explore LabArchitectureArchitecture and The Built Environmen
Statistics of signal to interference plus noise ratio in a sectorized FH-TDMA system with a single cell frequency reuse pattern
No full textOn the Complexity of the Maximum Independent Set Reconfiguration Problem
No full textWe study the complexity of the polynomially equivalent Minimum Vertex
Cover Reconfiguration and Maximum Independent Set Reconfiguration
problems on a variety of graph classes, which ask whether there exists
a reconfiguration sequence between two minimum vertex covers/maximum independent
sets S and T of a graph G. The problems are studied under the token
jumping and token sliding models, which turn out to be equivalent in this context.
We show that the problems are in P when restricted to bipartite graphs,
PSPACE-complete when restricted to planar graphs, as well as a list of results
on a variety of other graph classes
Additional interference in a RAKE receiver implementation of a CDMA power control mechanism
No full textSubstitutions at residue 211 in the prion protein drive a switch between CJD and GSS syndrome, a new mechanism governing inherited neurodegenerative disorders
No full textHuman prion diseases are a heterogeneous group of fatal neurodegenerative disorders, characterized by the deposition of the partially protease-resistant prion protein (PrPres), astrocytosis, neuronal loss and spongiform change in the brain. Among inherited forms that represent 15% of patients, different phenotypes have been described depending on the variations detected at different positions within the prion protein gene. Here, we report a new mechanism governing the phenotypic variability of inherited prion diseases. First, we observed that the substitution at residue 211 with either Gln or Asp leads to distinct disorders at the clinical, neuropathological and biochemical levels (Creutzfeldt-Jakob disease or Gerstmann-Sträussler-Scheinker syndrome with abundant amyloid plaques and tau neurofibrillar pathology). Then, using molecular dynamics simulations and biophysical characterization of mutant proteins and an in vitro model of PrP conversion, we found evidence that each substitution impacts differently the stability of PrP and its propensity to produce different protease resistant fragments that may contribute to the phenotypical switch. Thus, subtle differences in the PrP primary structure and stability are sufficient to control amyloid plaques formation and tau abnormal phosphorylation and fibrillation. This mechanism is unique among neurodegenerative disorders and is consistent with the prion hypothesis that proposes a conformational change as the key pathological event in prion disorders. © The Author 2012. Published by Oxford University Press
NR3E receptors in cnidarians : a new family of steroid receptor relatives extends the possible mechanisms for ligand binding
No full textAuthor Posting. © The Author(s), 2018. This is the author's version of the work. It is posted here under a nonexclusive, irrevocable, paid-up, worldwide license granted to WHOI. It is made available for personal use, not for redistribution. The definitive version was published in Journal of Steroid Biochemistry and Molecular Biology 184 (2018): 11-19, doi:10.1016/j.jsbmb.2018.06.014.Steroid hormone receptors are important regulators of development and physiology in bilaterian
animals, but the role of steroid signaling in cnidarians has been contentious. Cnidarians produce
steroids, including A-ring aromatic steroids with a side-chain, but these are probably made through
pathways different than the one used by vertebrates to make their A-ring aromatic steroids. Here we
present comparative genomic analyses indicating the presence of a previously undescribed nuclear
receptor family within medusozoan cnidarians, that we propose to call NR3E. This family predates
the diversification of ERR/ER/SR in bilaterians, indicating that the first NR3 evolved in the
common ancestor of the placozoan and cnidarian-bilaterian with lineage-specific loss in the
anthozoans, even though multiple species in this lineage have been shown to produce aromatic
steroids, whose function remain unclear. We discovered serendipitously that a cytoplasmic factor
within epidermal cells of transgenic Hydra vulgaris can trigger the nuclear translocation of
heterologously expressed human ERα. This led us to hypothesize that aromatic steroids may also be
present in the medusozoan cnidarian lineage, which includes Hydra, and may explain the
translocation of human ERα. Docking experiments with paraestrol A, a cnidarian A-ring aromatic
steroid, into the ligand-binding pocket of Hydra NR3E indicates that, if an aromatic steroid is
indeed the true ligand, which remains to be demonstrated, it would bind to the pocket through a
partially distinct mechanism from the manner in which estradiol binds to vertebrate ER.KK is supported by grant from Japan Society for the
Promotion of Science (JSPS 17K07420). I.M.L.B and Y.C. acknowledge the support and the use of
resources of the French Infrastructure for Integrated Structural Biology FRISBI ANR-10-INBS-05
and of Instruct-ERIC. AMR was supported by NIH Award R15GM114740. AMT was supported by
an Internal Research and Development Award from the Woods Hole Oceanographic Institution
Machine learning risk prediction of mortality for patients undergoing surgery with perioperative SARS-CoV-2: the COVIDSurg mortality score
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Machine learning risk prediction of mortality for patients undergoing surgery with perioperative SARS-CoV-2: the COVIDSurg mortality score
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