Desktop Sharing Portal

Desktop sharing technologies have existed since the late 80s. It is often used in scenarios where collaborative computing is beneficial to participants in the shared environment by the control of the more knowledgeable party. But the steps required in establishing a session is often cumbersome to many. Selection of a sharing method, obtaining sharing target’s network address, sharing tool’s desired ports, and firewall issues are major hurdles for a typical non-IT user. In this project, I have constructed a web-portal that helps collaborators to easily locate each other and initialize sharing sessions. The portal that I developed enables collaborated sessions to start as easily as browsing to a URL of the sharing service provider, with no need to download or follow installation instructions on either party’s end. In addition, I have added video conferencing and audio streaming capability to bring better collaborative and multimedia experience

Applications of nanostructured materials and biomolecules for electrocatalysis and biosensors

Electronically conducting polymers are important materials, and composites of these materials with metal nanoparticles have also been drawn significant research attention in recent years. We prepared a highly stable Agnano-Poly (3, 4-ethylenedioxythiophene) (PEDOT) nanocomposite by one-pot synthesis method. Here, 3, 4-ethylenedioxythiophene (EDOT) is used as the reductant and polystyrene sulfonate (PSS-) as a dopant for PEDOT as well as particle stabilizer for silver nanoparticles (AgNPs). Agnano–PEDOT/PSS-nanocomposite was characterized by infrared (IR) spectroscopy, transmission electron microscopy (TEM). AgNPs are distributed uniformly around PEDOT polymer with an average particle size diameter of 10–15 nm and the nanocomposite film showed catalytic activity towards 4-nitro phenol. Some types of including Ag bimetallic nanoparticles and nanostructured materials could be directly applied for the electroanalysis and biosensing applications. When you are citing the document, use the following link http://essuir.sumdu.edu.ua/handle/123456789/2045

Flux-limited strong gravitational lensing and dark energy

In the standard flat cosmological constant ($\Lambda$) cold dark matter (CDM) cosmology, a model of two populations of lens halos for strong gravitational lensing can reproduce the results of the Jodrell-Bank VLA Astrometric Survey (JVAS) and the Cosmic Lens All-Sky Survey (CLASS) radio survey. In such a model, lensing probabilities are sensitive to three parameters: the concentration parameter $c_1$, the cooling mass scale $M_\mathrm{c}$ and the value of the CDM power spectrum normalization parameter $\sigma_8$. The value ranges of these parameters are constrained by various observations. However, we found that predicted lensing probabilities are also quite sensitive to the flux density (brightness) ratio $q_{\mathrm{r}}$ of the multiple lensing images, which has been, in fact, a very important selection criterion of a sample in any lensing survey experiments. We re-examine the above mentioned model by considering the flux ratio and galactic central Super Massive Black Holes (SMBHs), in flat, low-density cosmological models with different cosmic equations of state $\omega$, and find that the predicted lensing probabilities without considering $q_{\mathrm{r}}$ are over-estimated. A low value of $q_\mathrm{r}$ can be compensated by raising the cooling mass scale $M_\mathrm{c}$ in fitting the predicted lensing probabilities to JVAS/CLASS observations. In order to determine the cosmic equation of state $\omega$, the uncertainty in $M_\mathrm{c}$ must be resolved. The effects of SMBHs cannot be detected by strong gravitational lensing method when $q_{\mathrm{r}}\leq 10$.Comment: 7 pages, 2 figures, corrected to match published version in A&