4,878 research outputs found
University intelligentsia in the making of maps: post-university networks and political change in Slovenia and Poland
The present paper is a result of research done in Slovenia
and Poland while the author was a fellow of the Open Society
Institute, Budapest between March 2002 and March
2003. The paper looks into the role of a section of university
educated intelligentsia in the making of independent Slovenia
out of communist Yugoslavia and in the transition of
Poland from a one-party communist rule to a multi-party democracy
Lambda hyperonic effect on the normal driplines
A generalized mass formula is used to calculate the neutron and proton drip
lines of normal and lambda hypernuclei treating non-strange and strange nuclei
on the same footing. Calculations suggest existence of several bound
hypernuclei whose normal cores are unbound. Addition of Lambda or,
Lambda-Lambda hyperon(s) to a normal nucleus is found to cause shifts of the
neutron and proton driplines from their conventional limits.Comment: 6 pages, 4 tables, 0 figur
Method and system for source authentication in group communications
A method and system for authentication is provided. A central node for issuing certificates to a plurality of nodes associated with the central node in a network is also provided. The central node receives a first key from at least one node from among the plurality of nodes and generates a second key based on the received first key and generates a certificate for the at least one node. The generated certificate is transmitted to the at least one node
Interaction of Sesbania Mosaic Virus Movement Protein with VPg and P10: Implication to Specificity of Genome Recognition
Sesbania mosaic virus (SeMV) is a single strand positive-sense RNA plant virus that belongs to the genus Sobemovirus. The mechanism of cell-to-cell movement in sobemoviruses has not been well studied. With a view to identify the viral encoded ancillary proteins of SeMV that may assist in cell-to-cell movement of the virus, all the proteins encoded by SeMV genome were cloned into yeast Matchmaker system 3 and interaction studies were performed. Two proteins namely, viral protein genome linked (VPg) and a 10-kDa protein (P10) c v gft encoded by OFR 2a, were identified as possible interacting partners in addition to the viral coat protein (CP). Further characterization of these interactions revealed that the movement protein (MP) recognizes cognate RNA through interaction with VPg, which is covalently linked to the 5′ end of the RNA. Analysis of the deletion mutants delineated the domains of MP involved in the interaction with VPg and P10. This study implicates for the first time that VPg might play an important role in specific recognition of viral genome by MP in SeMV and shed light on the possible role of P10 in the viral movement
A Micropolar Peridynamic Theory in Linear Elasticity
A state-based micropolar peridynamic theory for linear elastic solids is
proposed. The main motivation is to introduce additional micro-rotational
degrees of freedom to each material point and thus naturally bring in the
physically relevant material length scale parameters into peridynamics.
Non-ordinary type modeling via constitutive correspondence is adopted here to
define the micropolar peridynamic material. Along with a general three
dimensional model, homogenized one dimensional Timoshenko type beam models for
both the proposed micropolar and the standard non-polar peridynamic variants
are derived. The efficacy of the proposed models in analyzing continua with
length scale effects is established via numerical simulations of a few beam and
plane-stress problems
Hybrid LSTM and Encoder-Decoder Architecture for Detection of Image Forgeries
With advanced image journaling tools, one can easily alter the semantic
meaning of an image by exploiting certain manipulation techniques such as
copy-clone, object splicing, and removal, which mislead the viewers. In
contrast, the identification of these manipulations becomes a very challenging
task as manipulated regions are not visually apparent. This paper proposes a
high-confidence manipulation localization architecture which utilizes
resampling features, Long-Short Term Memory (LSTM) cells, and encoder-decoder
network to segment out manipulated regions from non-manipulated ones.
Resampling features are used to capture artifacts like JPEG quality loss,
upsampling, downsampling, rotation, and shearing. The proposed network exploits
larger receptive fields (spatial maps) and frequency domain correlation to
analyze the discriminative characteristics between manipulated and
non-manipulated regions by incorporating encoder and LSTM network. Finally,
decoder network learns the mapping from low-resolution feature maps to
pixel-wise predictions for image tamper localization. With predicted mask
provided by final layer (softmax) of the proposed architecture, end-to-end
training is performed to learn the network parameters through back-propagation
using ground-truth masks. Furthermore, a large image splicing dataset is
introduced to guide the training process. The proposed method is capable of
localizing image manipulations at pixel level with high precision, which is
demonstrated through rigorous experimentation on three diverse datasets
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