Bioconjugated silicon quantum dots from one-step green synthesis

Biofunctionalized silicon quantum dots were prepared through a one step strategy avoiding the use of chemical precursors. UV-Vis spectroscopy, Raman spectroscopy and HAADF-STEM prove oligonucleotide conjugation to the surface of silicon nanoparticle with an average size of 4 nm. The nanoparticle size results from the size-quenching effect during in situ conjugation. Photoemissive properties, conjugation efficiency and stability of these pure colloids were studied and demonstrate the bio-application potential, e.g. for nucleic acid vector delivery with semiconducting, biocompatible nanoparticles.     

The impact of seismic interpretation on the hydrocarbon trapping at Falak field,Meleiha, Western Desert,Egypt

The object from this study is to find ways to develop field and discover the possible reservoirs and appropriate solutions to avoid the problems we have faced before in the drilled wells that led to drilling dry wells close to producing wells. A set of twenty reflection sections have been used to highlight the subsurface structural setting and the hydrocarbons entrapment styles in Falak field in the northern Western Desert, this is achieved through an integrated geological and geophysical studies utilizing a number of maps and cross sections, all of that for demonstrating all the chances for exploring or developing the field. The reflectors are Ras-Qattara formation, Khatatba-2D member, Masajid formation, Alam El Beuib 3G member, AEB 3F member, AEB 3E member, AEB 3D member, AEB 2A member, AEB 1 member, Alamein Dolomite formation, Dahab Shale member, Kharita formation, Bahariya 5 member, Bahariya 4 member, Bahariya 1 member, Abu Roash “G” member, Abu Roash “E” member, Abu Roash “A” member, and the Apollonia formation. The N-S and E-W trending seismic sections revealed normal faults forming shape seems to be horsts all over the mapped field, these faults led to thin Cretaceous section in the up thrown block area compared to thick section on the downthrown block of the two main faults, for some instances dry hole conditions occur due to missing of structural closure on both the up thrown block and the downthrown. The TWT maps on the top of the traced reflectors reveal different structural closures with set of normal faults constructing three way dip closure in most of these faults and big shape like horst.     

Therapeutic Window of Ligand‐Free Silver Nanoparticles in Agar‐Embedded and Colloidal State: In Vitro Bactericidal Effects and Cytotoxicity

The inhibition of bacterial growth through effective non‐toxic antimicrobial substances is of great importance for the prevention and therapy of implant infections in various medical disciplines. For the evaluation of a therapeutic window of silver nanoparticles (AgNPs), their bactericidal properties were tested in agar composites and colloids on four medical relevant bacteria. Therefore, we produced AgNPs using high‐power nanosecond laser ablation in water showing a log‐normal particle diameter distribution centered at 17 nm. Bacteria were incubated with AgNP concentrations ranging from 5 to 70 µg · mL^?1 and the growth rate was recorded. Additionally, cytotoxic effects of AgNPs on human gingival fibroblasts were examined. The experiments demonstrated that laser‐synthesized AgNPs resulted in a significant bacterial growth inhibition of more than 80% at the indicated concentrations in a solid agar model (Pseudomonas aeruginosa 10 µg · mL^?1, Streptococcus salivarius 10 µg · mL^?1, Escherichia coli 20 µg · mL^?1, Staphylococcus aureus 70 µg · mL^?1). In a planktonic bacteria model, the growth of the tested bacteria was significantly delayed by the addition of AgNPs at a concentration of 35 µg · mL^?1. The cytotoxic assays showed limited adverse effects on human fibroblasts at concentrations of less than 20 µg · mL^?1. The present study illustrates the strong antibacterial effects of ligand‐free, laser‐generated AgNPs that exhibit moderate cytotoxic effects, resulting in a therapeutically applicable concentration of AgNPs for medical purposes between 10 and 20 µg · mL^?1.     

The U3 promoter and the nef gene of simian immunodeficiency virus (SIV) smmPBj1.9 do not confer acute pathogenicity upon SIVagm

Two chimeric proviruses comprising the U3 promoter and the nef gene of simian immunodeficiency virus (SIV) smmPBj1.9 in addition to other genomic regions of SIVagm3mc from African green monkeys (Cercopithecus aethiops) were constructed. The derived chimeric viruses (SIVagm3mc/SIVsmmPBj1.9) were both able to replicate in nonstimulated peripheral blood leukocytes from pig-tailed macaques (Macaca nemestrina), a biological property often correlated with acute pathogenicity. However, only one of the chimeric viruses was acutely pathogenic, inducing a rapid depletion of the peripheral CD4+ T cells in two infected pig-tailed macaques within 10 days after infection in a manner similar to infection with SIVsmmPBj1.9 itself. The other chimeric virus actively replicated during the first 8 weeks after experimental infection of two pig-tailed macaques but induced neither acute disease nor CD4+ T-cell depletion for 113 weeks after infection. Thus, the U3 promoter and the nef gene of SIVsmmPBj1.9 alone appear to be insufficient to confer acute pathogenicity to SIVagm3mc.     

Heliza: talking dirty to the attackers

In this article we describe a new paradigm for adaptive honeypots that are capable of learning from their interaction with attackers. The main objective of such honeypots is to get as much information as possible about the profile of an intruder, while decoying their true nature and goals. We have leveraged machine learning techniques for this task and have developed a honeypot that uses a variant of reinforcement learning in order to learn the best behavior when facing attackers. The honeypot is capable of adopting behavioral strategies that vary from blocking commands, returning erroneous messages right up to insults that aim to irritate the intruder and serve as reverse Turing Test. Our preliminary experimental results show that behavioral strategies are dependent on contextual parameters and can serve as advanced building blocks for intelligent honeypots.