Visual Cryptography (VC) is a special type of encryption technique where an image or document is encrypted by breaking it down into shares. These shares are then printed on transparencies. Decryption is done by superimposing the shares. Thus one can visually decode the secret image without computation. However, this property makes VC insecure as a third party can easily retrieve the secret info...

In this study, we quantify the relative damage enhancement due to the presence of gold nanoparticles (GNP) in vitro in a clinical 6 MV beam for various delivery parameters and depths. It is expected that depths and delivery modes that produce a larger proportions of low-energy photons will have a larger effect on the cell samples containing GNP. HeLa cells with and without 50 nm GNP were irradi...

Brief Summary: This study identifies biallelic HID1 variants in 7 patients with hypopituitarism and infantile encephalopathy. It provides genetic functional evidence for a novel gene-disease connection expands the list of central nervous system diseases caused by impairment trans-Golgi network.

Despite the importance of investment syndicates for the Venture Capital (VC) industry to function, surprisingly little is known about the motives for syndication. In this study, I build on Entrepreneurial Finance studies that present uncertainty and risk associated with the investment as the main drivers of syndication. I then examine two important but less emphasized factors that affect syndic...

To describe and explain the world, scientists search for equations that quantify relations among relevant variables. We wanted to assist these efforts by a computer program inspired by genetic programing. Using realworld data, the program discovered equations that outperformed, in terms of accuracy, published expressions. Moreover, the research indicated that somewhat different formulas may be ...

In this paper, we propose a genetic programing method to synthesize passive filter circuits including parasitic effects, which are very common in high-frequency application. This approach allows circuit topology and component values to be evolved simultaneously; therefore, novel circuits different from those generated by traditional methods can be explored. Experimental results show the propose...

Limited efficacy of current first-line treatment for leukemia calls attention for further development of efficient strategies. Recently, much attention has been given to nanoparticle-based drug delivery systems loaded with dual drugs to improve current disease therapies by overcoming toxicity. In the present study, we document to explore an approach to conjugate gold nanoparticles (GNPs) with p...

Background: Formaldehyde is associated with overproduction of endogenous opioids (EOP), nitric oxide (NO) and cytokins in the blood streams. These consequences can affect sex hormones. Since proper fertility will result physiological balance of sex hormones so that we investigated the relationship between Formaldehyde and sex hormones and apoptotic germ cells in adult male rats. Materials and M...

Deep belief networks hold great promise for the simulation of human cognition because they show how structured and abstract representations may emerge from probabilistic unsupervised learning. These networks build a hierarchy of progressively more complex distributed representations of the sensory data by fitting a hierarchical generative model. However, learning in deep networks typically requ...