Computational Exploration of Chaotic Dynamics with an Associated Biological System

Study of microbial populations has always been topic of interest for researchers. This is because microorganisms have been of instrumental use in the various studies related to population dynamics, artificial bio-fuels etc. Comparatively short lifespan and availability are two big advantages they have which make them suitable for aforementioned studies. Their population dynamic helps us understand evolution. A lot can be revealed about resource consumption of a system by comparing it to the similar system where bacteria play the role of different factors in the system. Also, study of population dynamics of bacteria can reveal necessary initial conditions for the desired state of microbial population at some reference point in future. This makes it interesting for ecological and evolutionary disciplines. Chaos is a mathematical concept which characterizes behavior of dynamical systems that are highly sensitive to the initial conditions. Small differences in the initial conditions such as those due to rounding errors of values of initial parameters yield widely diverging outcomes for such dynamical systems. The way biological systems behave in nature, there is a reason to believe that they do indeed follow chaotic regime. Various mathematical models have been proposed to mimic biological systems in nature. We believe that models which follow chaotic regime represent the biological systems in better way and also are more efficient. We propose a new software tool which may help simulate the mathematical model at hand and provide view of different set of parameters which can keep the system in chaotic state. This may help researchers design better and efficient biological models or use existing models in better way

Enhancing Security in Cloud Computing

Cloud computing is emerging field because of its performance, high availability, least cost and many others. In cloud computing, the data will be stored in storage provided by service providers. But still many business companies are not willing to adopt cloud computing technology due to lack of proper security control policy and weakness in safeguard which lead to many vulnerability in cloud computing. This paper has been written to focus on the problem of data security. Service providers must have a viable way to protect their clients' data, especially to prevent the data from disclosure by unauthorized insiders. To ensure the security of users' data in the cloud, we propose an effective and flexible scheme with two salient features, opposing to its predecessors. Avoiding unauthorized access to user's data by signaling user by sending message to his/her mobile number at the start of transaction. Displaying fake information in case of unsuccessful login for avoiding further login trials by intrusion (Honeypot). Keywords: Cloud Computing, Authentication, Honeypo

Local charge transfer doping in suspended graphene nanojunctions

We report electronic transport measurements in nanoscale graphene transistors with gold and platinum electrodes whose channel lengths are shorter than 100 nm, and compare them with transistors with channel lengths from 1 \textmu{}m to 50 \textmu{}m. We find a large positive gate voltage shift in charge neutrality point (NP) for transistors made with platinum electrodes but negligible shift for devices made with gold electrodes. This is consistent with the transfer of electrons from graphene into the platinum electrodes. As the channel length increases, the disparity between the measured NP using gold and platinum electrodes disappears.Comment: 11 pages, 3 figures, to appear in Appl. Phys. Let

Face Sketch to Image Generation using Generative Adversarial Network

Numerous studies have been conducted in the area of sketch to picture conversion and they got the good outcomes, but sometimes it is not accurate that they observed the blurry boundaries, the mixing of two colors that is the color of hair and face or mixing of both. These results are of the convolution neural networks that are basic of GAN. So to overcome their drawbacks we proposed a novel generative adversarial network using conditional GAN. For that we converted the original image in sketch and both the sketch and original image as reference is applied as input. We got more realistic and sharp colored images as compared to other. We focused on the feature detection, and the results are good. For the experimentation we used the STL-10 dataset. We overcome the problem of mixing of colors and got the different colors for hair, lips, and skin using conditional GAN as compared to CNN modern with increased performance and precision

Down-regulation of the global regulator SATB1 by statins in COLO205 colon cancer cells

Special AT-rich sequence binding protein 1 (SATB1) regulates the expression of more than 1,000 genes in tumor cells. SATB1 expression has been implicated in metastasis, and its silencing results in reduced cancer progression and the reversion of metastatic cells to normal appearance. Therefore, any compound causing down-regulation of SATB1 expression or activity may be exploited for its therapeutic potential in terms of cancer regression. Earlier studies showed that the 3-hydroxy-3-methylglutaryl coenzymeA (HMG-CoA) reductase inhibitors (statin drugs), which are widely used to treat hypercholesterolemia, possess other pleotropic activities. These are now increasingly gaining attention for their cancer prevention abilities. However, the downstream interplay of the molecular mechanisms of such anti-cancer activities is unclear. Here, we show that SATB1 is down-regulated by statins in a time- and dose-dependent manner in COLO205 cells. This effect was statin-specific as the down-regulation of SATB1 was brought about by hydrophobic statins, such as simvastatin and fluvastatin, but not by hydrophilic pravastatin. Notably, treatment with mevalonate, an intermediate in the cholesterol and isoprenoid biosynthetic pathways, led to the inhibition of SATB1 down-regulation and cytotoxicity mediated by statins. Treatment with the proteasome inhibitors lactacystine and MG-132 inhibited the statin-mediated down-regulation of SATB1, suggesting that regulation occurs at the post-translational level. Thus, our results demonstrate a novel molecular mechanism for the anti-cancer activity of statin drugs in colon cancer cells, without invoking significant cytotoxicity

Identification of insect community inhabiting Kaas plateau, Western ghats through cytochrome oxidase subunit I gene

Kaas Plateau is located in Western Ghats of Maharashtra, India. The region is one of its kinds being a biodiversity hot spot declared by UNESCO representing rich biodiversity of Western Ghats in India. However, insect biodiversity of this region has not been studied in detail so far. Thus, the present study was aimed at identification of insect community based on mitochondrial gene, cytochrome c oxidase subunit I (MT-CO1), for quick and reliable identification. During a collection trip, several insect specimens were collected, which belonged to seven insect orders, viz., Lepidoptera, Coleoptera, Hemiptera, Hymenoptera, Diptera, Orthoptera and Thysanoptera. Based on their morphological characteristics, specimens collected were delineated in to various orders and families. This resulted in determination of possible 15 different insect species, of which 7 could be identified up to species level. Remaining 8 sequences were matched with existing GenBank database that was > 96%, therefore, were considered as putative species. One specimen could be identified up to genus level, viz., Cicindela sp. and one up to family level - Pentatomidae and six up to order level only, i.e., Coleoptera, Diptera, Lepidoptera, Orthoptera and Thysanoptera (2 specimens). The results suggested that 50% of the community could be identified to species level with MT-CO1 gene and at least about 8 specimens could possibly be new species for India. The insects thus collected from Kaas plateau were molecularly identified and at least 50% of collections were delineated to species level on the basis of their DNA barcodes for the first time

Dense cataract and microphthalmia (dcm) in BALB/c mice is caused by mutations in the GJA8 locus

A spontaneous mutation in BALB/c mice that causes congenital dense cataract and microphthalmia (dcm) was reported previously. This abnormality was found to be inheritable and the mode of inheritance indicated that this phenotype is due to mutation of an autosomal recessive gene. We performed genetic screen to identify the underlying mutations through linkage analysis with the dcm progenies of F1 intercross. We identified the region of mutation on chromosome 3 and further mapping and sequence analysis identified the mutation in the GJA8 gene that encodes for connexin 50. The mutation represents a single nucleotide change at position 64 (G to C) that results in a change in the amino acid glycine to arginine at position 22 (G22R) and is identical to the mutation previously characterized as lop10. However, the phenotype of these mice differ from that of lop10 mice and since it is one of the very few genetic models with recessive pattern of inheritance, we propose that dcm mice can serve as a useful model for studying the dynamics and interaction of the gap junction formation in mouse eye development