A Survey: Data Leakage Detection Techniques

Data is an important property of various organizations and it is intellectual property of organization. Every organization includes sensitive data as customer information, financial data, data of patient, personal credit card data and other information based on the kinds of management, institute or industry. For the areas like this, leakage of information is the crucial problem that the organization has to face, that poses high cost if information leakage is done. All the more definitely, information leakage is characterize as the intentional exposure of individual or any sort of information to unapproved outsiders. When the important information is goes to unapproved hands or moves towards unauthorized destination. This will prompts the direct and indirect loss of particular industry in terms of cost and time. The information leakage is outcomes in vulnerability or its modification. So information can be protected by the outsider leakages. To solve this issue there must be an efficient and effective system to avoid and protect authorized information. From not so long many methods have been implemented to solve same type of problems that are analyzed here in this survey.  This paper analyzes little latest techniques and proposed novel Sampling algorithm based data leakage detection techniques

Combining motion analysis and microfluidics--a novel approach for detecting whole-animal responses to test substances.

Small, early life stages, such as zebrafish embryos are increasingly used to assess the biological effects of chemical compounds in vivo. However, behavioural screens of such organisms are challenging in terms of both data collection (culture techniques, drug delivery and imaging) and data evaluation (very large data sets), restricting the use of high throughput systems compared to in vitro assays. Here, we combine the use of a microfluidic flow-through culture system, or BioWell plate, with a novel motion analysis technique, (sparse optic flow - SOF) followed by spectral analysis (discrete Fourier transformation - DFT), as a first step towards automating data extraction and analysis for such screenings. Replicate zebrafish embryos housed in a BioWell plate within a custom-built imaging system were subject to a chemical exposure (1.5% ethanol). Embryo movement was videoed before (30 min), during (60 min) and after (60 min) exposure and SOF was then used to extract data on movement (angles of rotation and angular changes to the centre of mass of embryos). DFT was subsequently used to quantify the movement patterns exhibited during these periods and Multidimensional Scaling and ANOSIM were used to test for differences. Motion analysis revealed that zebrafish had significantly altered movements during both the second half of the alcohol exposure period and also the second half of the recovery period compared to their pre-treatment movements. Manual quantification of tail flicking revealed the same differences between exposure-periods as detected using the automated approach. However, the automated approach also incorporates other movements visible in the organism such as blood flow and heart beat, and has greater power to discern environmentally-driven changes in the behaviour and physiology of organisms. We suggest that combining these technologies could provide a highly efficient, high throughput assay, for assessing whole embryo responses to various drugs and chemicals

Field Effect Transistor Nanosensor for Breast Cancer Diagnostics

Silicon nanochannel field effect transistor (FET) biosensors are one of the most promising technologies in the development of highly sensitive and label-free analyte detection for cancer diagnostics. With their exceptional electrical properties and small dimensions, silicon nanochannels are ideally suited for extraordinarily high sensitivity. In fact, the high surface-to-volume ratios of these systems make single molecule detection possible. Further, FET biosensors offer the benefits of high speed, low cost, and high yield manufacturing, without sacrificing the sensitivity typical for traditional optical methods in diagnostics. Top down manufacturing methods leverage advantages in Complementary Metal Oxide Semiconductor (CMOS) technologies, making richly multiplexed sensor arrays a reality. Here, we discuss the fabrication and use of silicon nanochannel FET devices as biosensors for breast cancer diagnosis and monitoring

Methods For Inhibiting Clc-2 Channel With Gatx2

Compositions and methods of using scorpion venom peptide that is a ligand for ClC channels are provided. One aspect provides a pharmaceutical composition containing an amount of GaTx2 effective to inhibit ClC activity. Methods of treating a disorder or symptom of a disorder related to aberrant ClC channel activity are also provided.Georgia Tech Research Corporatio

Cold hardening and dehardening in Salix

The variation in cold hardiness in Salix in the autumn was investigated using clones of different geographic origins. In late growing season, the variation was small and inversely related to a phenotypic variation in potential growth rate. When growth had stopped in response to the reduction in daylength, however, large differences in cold hardiness developed. Northern/continental clones started cold hardening up to two months earlier and showed up to three times higher inherent rates of cold hardening than the southern/maritime ones. The two components of cold hardening, the timing of onset and the inherent rate, seemed to be separately inherited traits, as judged from analyses of the prodigy of a crossing between an early-and-rapidly hardening clone and a late-and-slowly hardening one. This suggests that cold hardiness can be improved without adversely affecting growth by selecting for a late onset of cold hardening combined with a rapid rate. Also, in the early stages, cold hardening was more sensitive to low, non-freezing temperatures in the southern/maritime clones than in the northern/continental ones. Cold hardening of stems in the autumn could be monitored from the accumulation of sugars, most predominantly sucrose, raffinose and stachyose. The accumulation of sucrose started already with the cessation of growth, whilst the accumulation of raffinose and stachyose started later and was stimulated by cool temperatures. Multivariate models using sugar data could explain 76% of the variation in cold hardiness in the early stages of hardening. Changes in levels of sugars and other compounds during cold hardening could be assessed non-intrusively from the visible and infrared reflectance spectra of stems. Multivariate models using spectral data could predict up to 96% of the variation in cold hardiness. This technique is expected to greatly facilitate breeding for improved cold hardiness by allowing rapid screening of large populations. The variation in cold hardiness in spring was also investigated. Loss of cold hardiness in spring was closely related to the bursting of buds. A relatively large genetic variation in the temperature requirement for bud burst was demonstrated indicating that this might be modified in sensitive clones to improve their cold hardiness in spring

Structural and biophysical analysis of important biomedical enzymes and nano-architectures

Dopa decarboxylase (DDC) is an important enzyme in the catecholamine biosynthesis pathways. Catecholamines, e.g., dopamine, serotonin, etc. often are the major neuromodulators or neurotransmitters. Hence, DDC plays a key role in regulation of neurodegenerative diseases like Parkinson’s disease (PD). In order to achieve a medicine for PD, a successful inhibitor for DDC, that could reduce the activity of DDC in the blood while making it more effective in brain, is required. An effective design of an inhibitor requires a detailed structural study of human DDC. It was aimed to solve the DDC structure by X-ray crystallography. In order to have enough protein the DDC encoding gene has been cloned in the pET21d vector which was later termed as pET-DDC-His. However, it required numerous trials and errors until a suitable condition for soluble DDC expression was found. Addition of additives like PLP, ethanol, a complex of sorbitol and betaine in the growth medium of the bacteria did not help bring the protein in the soluble part as it formed inclusion bodies. Several soluble protein fusions with DDC, like Thioredoxin and Glutathione-S-transferase were also not quite helpful towards achieving soluble expression of DDC. Finally, a coexpression of DDC along with bacterial chaperone proteins, e.g., GroEL and GroES (after cotransforming both the DDC and Chaperone protein encoding plasmid in the same E.coli cell, used for expression) lead to solubilization of recombinant human DDC. This enzyme was then purified to homogeneity by successively passing the crude bacterial proteins through Ni-chelate-affinity chromatography and Size Exclusion Chromatography. The purified protein (>90 % purity) did not produce a good yield (4mg/ 8L culture), but this was enough to start the initial crystallization trial. Using a scale up to a 50 L culture, quite a good amount of protein was achieved. The homogeneity of DDC was further confirmed by using Multi-Angle Light Scattering and Blue Native PAGE. The dimeric enzyme preparation was then utilized for crystallization using the Hanging Drop Vapor Diffusion method. In a particular condition of the crystal screens trigonal bipyramidal crystals formed. However, these crystals did not show good diffraction when bombarded with X-ray beams. Later, this particular crystallization condition remained irreproducible. The peptide nanoparticle, designed and produced in our lab, could possibly be a very valuable tool in biomedical applications, e.g., in designing vaccines, delivering drugs, bioimaging, serodiagnosis, etc. The design of the peptide nanoparticles is based on the application of the symmetry elements of virus icosahedral capsid on a specially designed building block peptide. The designed peptide building block contains two oligomerization motifs, i.e., a trimeric coiled coil and a pentameric coiled coil joined by a linker region. Sixty such peptide units, upon self-assembly, would produce peptide nanoparticle mimicking a small icosahedral virus particle. The peptide chains in the building block provide flexibility in the design so that an additional peptide could be attached to it at the C-terminus in order to functionalize the peptide nanoparticle for various biomedical applications. First of all, the functional peptide at the C-terminus could be an epitope for the antibody of a life threatening disease like HIV. These peptide nanoparticles can then function as the potent vaccine candidate for that particular disease. In this thesis work, I have attached the two epitopes against the two broadly neutralizing classes of antibody for HIV infection, 2F5 and 4E10, to the peptide nanoparticle. Secondly, another sequence of peptide, which proved to have the capacity of seeding gold on its surface, was attached to the building block peptide unit. The nanoparticle, functionalized with such a peptide, can decorate a gold layer surrounding it. Gold coating on the peptide nanoparticle scaffold can provide a nanostructure, called ‘nanoshells’, which could be very important in the field of therapeutics because of its ability in easy detection and quick treatment of cancer cells. Lastly, I added three peptides; those are recognized in the culture filtrates of M.tuberculosis isolated from TB patients, separately, to the basic peptide construct to form three different nanoparticles. Also, I tried to make a single nanoparticle that displays all the three peptides on its surface. Such a nanoparticle could be a very useful tool in the serodiagnosis or the antibody-based rapid detection of the deadly disease- Tuberculosis. The nanoparticle formation in each of the above-mentioned cases was more or less successful. One of the constructs could successfully even produce gold shells on the peptide nanoparticle

Neural regulation of cancer: from mechanobiology to inflammation.

Despite recent progress in cancer research, the exact nature of malignant transformation and its progression is still not fully understood. Particularly metastasis, which accounts for most cancer death, is a very complex process, and new treatment strategies require a more comprehensive understanding of underlying regulatory mechanisms. Recently, the sympathetic nervous system (SNS) has been implicated in cancer progression and beta-blockers have been identified as a novel strategy to limit metastasis. This review discusses evidence that SNS signaling regulates metastasis by modulating the physical characteristics of tumor cells, tumor-associated immune cells and the extracellular matrix (ECM). Altered mechanotype is an emerging hallmark of cancer cells that is linked to invasive phenotype and treatment resistance. Mechanotype also influences crosstalk between tumor cells and their environment, and may thus have a critical role in cancer progression. First, we discuss how neural signaling regulates metastasis and how SNS signaling regulates both biochemical and mechanical properties of tumor cells, immune cells and the ECM. We then review our current knowledge of the mechanobiology of cancer with a focus on metastasis. Next, we discuss links between SNS activity and tumor-associated inflammation, the mechanical properties of immune cells, and how the physical properties of the ECM regulate cancer and metastasis. Finally, we discuss the potential for clinical translation of our knowledge of cancer mechanobiology to improve diagnosis and treatment

How reliable are in vitro IC50 values? Values vary with cytotoxicity assays in human glioblastoma cells

Funding E.D. was funded by an internal research grant from the Polytechnic University of the Marche provided by MIUR (Italian Ministry of University and Research).Peer reviewedPostprin

Aerospace Medicine and Biology: A continuing bibliography with indexes, supplement 144

This bibliography lists 257 reports, articles, and other documents introduced into the NASA scientific and technical information system in July 1975

Electronic nose for analysis of volatile organic compounds in air and exhaled breath.

Exhaled breath is a complex mixture containing numerous volatile organic compounds (VOCs) at trace levels (ppb to ppt) including hydrocarbons, alcohols, ketones, aldehydes, esters and other non-volatile compounds. Different patterns of VOCs have been correlated with various diseases. The concentration levels of VOCs in exhaled breath depend on an individual subject’s health status. Therefore, breath analysis has great potential for clinical diagnostics, monitoring therapeutic progress and drug metabolic products. Even though up to 3000 compounds may be detected in breath, the matrix of exhaled breath is less complex than that of blood or other body fluids. Breath analysis can be performed on people irrespective of age, gender, lifestyle, or other confounding factors. Breath gas concentration can be related to VOC concentrations in blood via mathematical modeling; for example, as in blood alcohol testing. Since exhaled breath samples are easy to collect and online instruments are commercially available, VOC analysis in exhaled breath appears to be a promising tool for noninvasive detection and monitoring of diseases. Breath analysis has been very successful in identifying cancer, diabetes and other diseases by using a chemiresistor sensor array to detect biomarkers. The objective of this research project is to develop sensor arrays ― or so-called electronic nose ― for analysis of VOCs in air and exhaled breath. In this dissertation, we have investigated both commercial and synthesized thiol functionalized gold nanoparticles (AuNPs) as sensing materials for analysis of VOCs in air and exhaled breath. The advantages of these sensors include very high sensitivity, selectivity for detection of target analytes and operation at ambient temperature. The synthesis and material characterization of new thiols and AuNPs for increasing sensitivity and selectivity have been studied. Selected commercial thiols and in-house synthesized new functional thiols have been used to modify AuNP-based sensors for detection of VOCs in air and exhaled breath. The interdigitated electrodes (IDE) used for the sensors were fabricated by microelectromechanical systems (MEMS) microfabrication technologies. The sensor arrays were characterized by measuring the resistance difference from vacuum and different spiked analyte concentrations in air and breath samples. Air samples and breath samples were collected using Tedlar bags, and analyzed using the thiol functionalized AuNP sensors. The analysis of air samples provides a reference for analysis of exhaled breath samples. The sensors have demonstrated a low detection limit of 0.1 ppbv of acetone and ethanol in dry air and exhaled breath. The concentrations of acetone in air and exhaled breath were determined by a silicon microreactor approach. The measurements of acetone by the microreactor approach were correlated with the sensor signals. The intellectual thrust of this research is the rational design of an electronic nose for analysis of VOCs in exhaled breath, which offers a new frontier in medical diagnostics because of its non-invasive and inexpensive characteristics