2,807 research outputs found
Framework for Cyber Threats in Social Networks
No full textAbstract: Social networking is the most common way of communication nowadays. Maintaining the information’s confidentiality, integrity and availability becomes a very critical aspect. As the number of users on social media keep increasing, the amount of data about the users are available on the network is also increasing. Attacks on these networks are currently at an all-time high which can be by Phishing attacks, Botnets, Sybil Attack, Profile Cloning, Spam, Denial of service to name a few of them. There are a number of threats possible on social networks. Data in social networks must be protected from various types of cyber-attacks. The main requirement is providing security to such networks. Maintaining the information’s confidentiality, integrity and availability becomes a very critical aspect. As and when security is being provided to these networks, attacks are also evolving. Cyber-attacks are becoming complex which means that sometimes the threat for which the solution needs to be found is unknown. Threats are becoming automated, hence, using less efficient algorithms for cyber security is not the optimal solution. Hence, machine learning is used to support cyber security to social networks. A framework is built which comprises of the steps such as Data Collecting, Data Preparing, Applying Machine Learning Techniques, Post-processing by applying domain specific knowledge to build a secure system for social networks using machine learning techniques.Published By:
Blue Eyes Intelligence Engineering
and Sciences Publication (BEIESP)
© Copyright: All rights reserved
Controlled growth of single-crystalline, nanostructured dendrites and snowflakes of a-Fe2O3: influence of the surfactant on the morphology and investigation of morphology dependent magnetic properties
No full textSingle-crystalline, nanostructured dendrites, single and double-layered snowflakes of hematite (alpha-Fe2O3) were synthesized by a well controlled, surfactant-assisted hydrothermal reaction of K-3[Fe(CN)(6)]. By varying the preparatory conditions such as precursor concentration and type of surfactant, we could establish precise control on the morphology of the sample. X-Ray diffraction, Raman analysis and X-ray photoelectron spectroscopic studies have confirmed that the as grown morphologies were hematite. Dendrites were obtained due to weak dissociation of the precursor and controlled diffusion of alpha-Fe2O3 nanoparticles under non-equilibrium conditions which attach and grow along certain preferred crystal facets. In the presence of a surfactant, single and double-layered snowflakes were formed. The type of surfactant and the nature of micelle formation were proposed to be the key factor for the observed snowflakes and the single or double-layered growth. Magnetic studies have shown morphology dependent magnetic properties with variation in the coercivity values for dendrites, single and double-layered snowflakes.open115351sciescopu
sj-pdf-1-prs-10.1177_20414196211038018 – Research Data for Mitigation strategies of underground tunnels against blast loading
No full textResearch Data, sj-pdf-1-prs-10.1177_20414196211038018 for Mitigation strategies of underground tunnels against blast loading by Senthil Kasilingam, Muskaan Sethi, Loizos Pelecanos and Narinder K Gupta in International Journal of Protective Structures</p
Lysobacter
No full textThe genus Lysobacter is among the youngest bacterial genera encompassing plant beneficial strains. In the last 40 years the number of bacterial species included in this genus increased, and the advent of sequencing technologies helped to show the characteristics of these bacteria. In this regard, it was proven that the absence of a flagellum is a feature not shared by all the Lysobacter species and, moreover, the cell motility of some species mainly relies on the formation of type IV pili. Culture dependent and independent methods revealed that Lysobacter members are cosmopolitan bacteria able to colonize different environments and to persist in extreme environments. Looking at the agroecosystem, strong evidence was provided on the association of these bacteria with plants, and their correlation with the phenomenon of soil suppressiveness was also shown. Although their ability to actively colonize plants and soils, the number of Lysobacter spp. strains studied for their plant beneficial potential is still limited. This might be related to the unavailability of growth media specific for the isolation of Lysobacter members. In this chapter, a semiselective growth medium was designed for the isolation of strains belonging to L. antibioticus, L. capsici, L. enzymogenes, and L. gummosus species, based on their capability to resist antibiotics. Moreover, these species are composed mostly of the plant beneficial Lysobacter spp. strains characterized so far. Their ability to control plant pathogenic bacteria, fungi, nematodes, oomycete, and protists mainly relied on various mechanisms of action such as the competition for space, the induction of plant defense mechanisms, the predation and the release of antibiotics, lytic enzymes, and volatile organic compounds. In the last ten years, more evidence has been provided about the presence of Lysobacter spp. in agricultural soils contaminated by heavy metals and petroleum derivatives. Although in their infancy, several studies proved that bacteria belonging to this genus may be applied for the bioremediation of contaminated agricultural soils. Overall, Lysobacter spp. may be considered a valuable reservoir of novel bacterial strains that may be developed to make the future of crop production more sustainable
Spin-crossover in iron(II)-phenylene ethynylene-2,6-di(pyrazol-1-yl) pyridine hybrids: Toward switchable molecular wire-like architectures
No full textLuminescent oligo(p-phenylene ethynylene) (OPE) and spin-crossover (SCO) active Fe(II)-2,6-di(pyrazol-1-yl) pyridine (BPP) systems are prominent examples proposed to develop functional materials such as molecular wires/memories. A marriage between OPE and Fe(II)-BPP systems is a strategy to obtain supramolecular luminescent ligands capable of metal coordination useful to produce novel spin-switchable hybrids with synergistic coupling between spin-state of Fe(II) and a physical property associated with the OPE skeleton, for example, electronic conductivity or luminescence. To begin in this direction, two novel ditopic ligands, namely L1 and L2, featuring OPE-type backbone end-capped with metal coordinating BPP were designed and synthetized. The ligand L2 tailored with 2-ethylhexyloxy chains at the 2 and 5 positions of the OPE skeleton shows modulated optical properties and improved solubility in common organic solvents relative to the parent ligand L1. Solution phase complexation of L1 and L2 with Fe(BF4)2•6H2O resulted in the formation of insoluble materials of the composition [Fe(L1)]n(BF4)2n and [Fe(L2)]n(BF4)2n as inferred from elemental analyses. Complex [Fe(L1)]n(BF4)2n underwent thermal SCO centred at T 1/2 = 275 K as well as photoinduced low-spin to high-spin transition with the existence of the metastable high-spin state up to 52 K. On the other hand, complex [Fe(L2)]n(BF4)2n, tethered with 2-ethylhexyloxy groups, showed gradual and half-complete SCO with 50% of the Fe(II)-centres permanently blocked in the high-spin state due to intermolecular steric interactions. The small angle x-ray scattering (SAXS) pattern of the as-prepared solid complex [Fe(L1)]n(BF4)2n revealed the presence of nm-sized crystallites implying a possible methodology towards the template-free synthesis of functional-SCO nanostructures
Abstract PR01: Ductal pancreatic cancer modeling and drug screening using human pluripotent stem cell and patient-derived tumor organoids
No full textAbstract
There are few in vitro models of exocrine pancreas development and primary human pancreatic adenocarcinoma (PDAC). We establish three-dimensional culture conditions to induce the differentiation of human pluripotent stem cells (PSCs) into exocrine progenitor organoids that form ductal and acinar structures in culture and in vivo. Expression of mutant KRAS or TP53 in progenitor organoids induces mutation-specific phenotypes in culture and in vivo. Expression of TP53R175H induced cytosolic SOX9 localization. In patient tumors bearing TP53 mutations, SOX9 was cytoplasmic and associated with mortality. Culture conditions are also defined for clonal generation of tumor organoids from freshly resected PDAC. Tumor organoids maintain the differentiation status, histoarchitecture, phenotypic heterogeneity of the primary tumor, and retain patient-specific physiologic changes including hypoxia, oxygen consumption, epigenetic marks, and differential sensitivity to EZH2 inhibition. Thus, pancreatic progenitor organoids and tumor organoids can be used to model PDAC and for drug screening to identify precision therapy strategies.
This abstract is also being presented as Poster B10.
Citation Format: Senthil K. Muthuswamy. Ductal pancreatic cancer modeling and drug screening using human pluripotent stem cell and patient-derived tumor organoids. [abstract]. In: Proceedings of the AACR Special Conference: Patient-Derived Cancer Models: Present and Future Applications from Basic Science to the Clinic; Feb 11-14, 2016; New Orleans, LA. Philadelphia (PA): AACR; Clin Cancer Res 2016;22(16_Suppl):Abstract nr PR01.</jats:p
Electrochemical behavior of two and one electron redox systems adsorbed on to micro- and mesoporous silicate materials: Influence of the channels and the cationic environment of the host materials
No full text10.1016/j.matchemphys.2009.06.008MATERIALS CHEMISTRY AND PHYSICS1172-3365-37
A Role for the Polarity Protein Par3 in ErbB2-induced Breast Cancer
No full text193 pg.Polarity protein Partitioning defective protein 3 (Par3) is an evolutional conserved scaffold protein in metazoans. Par3 together with Par6 and aPKC form Par complex and localize at the subapical domain of epithelial cells. Par3 plays important roles during establishment of apical membrane and tight junctions in epithelia. In my thesis, I identified Par3 as a novel metastasis suppressor in breast cancer. ErbB2, also known as HER2, is an important proto-oncogene in breast cancer. Approximately 25% of breast cancers have ErbB2 amplification or overexpression and correlate with poor prognosis. Downregulation of Par3 cooperated with ErbB2 to induce cell invasion in mammary epithelial cells in vitro and induced metastasis of ErbB2-induced primary mouse mammary tumors. Surprisingly, loss of Par3 induced invasive behavior in the epithelial cells was not associated with an overt epithelial mesenchymal transition. However, loss of Par3 prevented E-cadherin junction maturation and decreased cell-cell cohesion. I identified the molecular mechanisms by which Par3 regulates E-cadherin junction maturation. Downregulation of Par3 induced spatial and temporal dysregulation of Rac activation by activating Rac-GEF Tiam1. In addition I found Par3 interacted with a branched actin polymerizing protein complex, Arp2/3 and assembles an E-cadherin-Par3-Arp2/3 at cell-cell junctions. Loss of Par3 resulted in mislocalization of Arp2/3 from cell-cell junctions. The aberrant Rac activation and disruption of Arp2/3 from cell-cell junctions induced aberrant actin cytoskeleton organization at cell-cell junctions that resulted in inhibition of maturation on E-cadherin junctions. In human breast cancer, decrease in membrane Par3 was correlated with higher tumor grade and ErbB2 positive status. Dysregulation of Par3 was found in the metastases compared to the primary breast tumors. Together, our data suggest that loss of Par3 promotes metastatic behavior of ErbB2-induced tumor epithelial cells by decreasing cell-cell cohesion.Advisor(s): Muthuswamy, Senthil K. Committee Member(s): Mills, Alea A; Egeblad, Mikala ; Crawford, Howard C; Miller, W. Todd;Stony Brook University Libraries. SBU Graduate School in Department of Molecular and Cellular Biology. Charles Taber (Dean of Graduate School)
Search for an Optimal Solution to Vague Traffic Problems Using the PSK Method
No full textThere are several algorithms, in literature, for obtaining the fuzzy optimal solution of fuzzy transportation problems (FTPs). To the best of the author's knowledge, in the history of mathematics, no one has been able to solve transportation problem (TP) under four different uncertain environment using single method in the past years. So, in this chapter, the author tried to categories the TP under four different environments and formulates the problem and utilizes the crisp numbers, triangular fuzzy numbers (TFNs), and trapezoidal fuzzy numbers (TrFNs) to solve the TP. A new method, namely, PSK (P. Senthil Kumar) method for finding a fuzzy optimal solution to fuzzy transportation problem (FTP) is proposed. Practical usefulness of the PSK method over other existing methods is demonstrated with four different numerical examples. To illustrate the PSK method different types of FTP is solved by using the PSK method and the obtained results are discussed. </jats:p
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