Data Sciences Technology for Homeland Security Information Management and Knowledge Discovery

The Department of Homeland Security (DHS) has vast amounts of data available, but its ultimate value cannot be realized without powerful technologies for knowledge discovery to enable better decision making by analysts. Past evidence has shown that terrorist activities leave detectable footprints, but these footprints generally have not been discovered until the opportunity for maximum benefit has passed. The challenge faced by the DHS is to discover the money transfers, border crossings, and other activities in advance of an attack and use that information to identify potential threats and vulnerabilities. The data to be analyzed by DHS comes from many sources ranging from news feeds, to raw sensors, to intelligence reports, and more. The amount of data is staggering; some estimates place the number of entities to be processed at 1015. The uses for the data are varied as well, including entity tracking over space and time, identifying complex and evolving relationships between entities, and identifying organization structure, to name a few. Because they are ideal for representing relationship and linkage information, semantic graphs have emerged as a key technology for fusing and organizing DHS data. A semantic graph organizes relational data by using nodes to represent entities and edges to connect related entities. Hidden relationships in the data are then uncovered by examining the structure and properties of the semantic graph

Detection of Trypanosoma cruzi DNA within murine cardiac tissue sections by in situ polymerase chain reaction

The use of in situ techniques to detect DNA and RNA sequences has proven to be an invaluable technique with paraffin-embedded tissue. Advances in non-radioactive detection systems have further made these procedures shorter and safer. We report the detection of Trypanosoma cruzi, the causative agent of Chagas disease, via indirect and direct in situ polymerace chain reaction within paraffin-embedded murine cardiac tissue sections. The presence of three T. cruzi specific DNA sequences were evaluated: a 122 base pair (bp) sequence localized within the minicircle network, a 188 bp satellite nuclear repetitive sequence and a 177 bp sequence that codes for a flagellar protein. In situ hybridization alone was sensitive enough to detect all three T. cruzi specific DNA sequences

Uniform Partition of Heirs Property Act

The Uniform Partition of Heirs Property Act is an act of limited scope which addresses a widespread, well-documented problem faced by many low to middle-income families across the country who have been dispossessed of their real property and much of their real property-related wealth over the past several decades as a result of court-ordered partition sales of tenancy-in-common properties. The highly unstable ownership these families experience stands in sharp contrast to the secure property rights wealthier families typically enjoy. Further, the loss of real property-related wealth these low to middle-income families have experienced has been particularly devastating to these families given the fact that real property constitutes by far the single greatest asset that these property owners typically own, unlike the much more diversified asset portfolios that wealthier families normally possess. In addition, the Act may be very helpful to a surprising number of wealthier families who own tenancy-in-common property under the default rules and who also experience great problems with this ownership form

Zebrafish survival motor neuron mutants exhibit presynaptic neuromuscular junction defects

Spinal muscular atrophy (SMA), a recessive genetic disease, affects lower motoneurons leading to denervation, atrophy, paralysis and in severe cases death. Reduced levels of survival motor neuron (SMN) protein cause SMA. As a first step towards generating a genetic model of SMA in zebrafish, we identified three smn mutations. Two of these alleles, smnY262stop and smnL265stop, were stop mutations that resulted in exon 7 truncation, whereas the third, smnG264D, was a missense mutation corresponding to an amino acid altered in human SMA patients. Smn protein levels were low/undetectable in homozygous mutants consistent with unstable protein products. Homozygous mutants from all three alleles were smaller and survived on the basis of maternal Smn dying during the second week of larval development. Analysis of the neuromuscular system in these mutants revealed a decrease in the synaptic vesicle protein, SV2. However, two other synaptic vesicle proteins, synaptotagmin and synaptophysin were unaffected. To address whether the SV2 decrease was due specifically to Smn in motoneurons, we tested whether expressing human SMN protein exclusively in motoneurons in smn mutants could rescue the phenotype. For this, we generated a transgenic zebrafish line with human SMN driven by the motoneuron-specific zebrafish hb9 promoter and then generated smn mutant lines carrying this transgene. We found that introducing human SMN specifically into motoneurons rescued the SV2 decrease observed in smn mutants. Our analysis indicates the requirement for Smn in motoneurons to maintain SV2 in presynaptic terminals indicating that Smn, either directly or indirectly, plays a role in presynaptic integrity