Hewlett-Packard (Israel)

Genetics is the science of genes, genetic variation and heredity in the organism. Genetics is thought to be a new branch of science evolved during 19thcentury. Gregor Mendel was the first who developed principle of inheritance and had described the transmission of genetic traits fromgeneration to generation. Although some concepts of genetics have been described in Ayurveda which is Upavedaof Atharvaveda and thousands of years old texts. Ayurveda has been cited the concepts of Beeja, Beejbhag, Beejbhagavyavawhich influence the prakriti of individual and vitiation of these units cause deformity in the progeny. Acharya Charaka, Sushrut and Vagbhataall have described many genetic deformities in Sharir sthan. All three Acharyas of our Brihattrayehave brief description about formation of foetus, growth of foetus, foetal deformity, disorders of pregnancy, Adibalapravrittadisease etc.

A phenomenological study focusing on investigation of ionic transport within one- and two-dimensional electrolytic cells operating at high voltage and confined by two open electrodes is presented. The cell is filled with a nonsymmetric electrolyte consisting of one positively charged and two negatively charged species. The study offers a physical interpretation and detailed discussion of the origin and development of electroconvective instability typical of configurations relevant to digital printing technologies.

In our previous work, we have presented an HVS-based model for the superposition of two clustered-dot color halftones, which are widely used for electrophotographic printers due to their relatively poor print stability. The model helps us to decide what are the best color assignments for the two regular or irregular halftones that will minimize the perceived error [1]. After applying our model to the superposition of three and four clustered-dot color halftones, it was concluded that this color assignment plays a significant role in image quality. Moreover, for different combinations of colorant absorptance values, their corresponding best color assignments turn out to be different. Hence, in this paper we propose to apply different color assignments within the image depending on the local color and content of the image. If the image content locally has a high variance of color and texture, the artifacts due to halftoning will not be as visible as the artifacts in smooth areas of the image. Therefore, the focus of this paper is to detect smooth areas of the image and apply the best color assigments in those areas. In order to detect smooth areas of the image, it was decided to segment the image based on the color of the content. We used the well-known K-means clustering algorithm along with an edge detection algorithm in order to segment an image into clusters. We then used our spatiochromatic HVS-based model for the superposition of four halftones in order to search for the best color assignment in a particular cluster. This approach is primarily directed towards good quality rendering of large smooth areas, especially areas containing important memory colors, such as flesh tones. We believe that content-color-dependent screening can play an important role for developing high quality printed color images.

Process model matching provides the basis for many process analysis techniques such as inconsistency detection and process querying. The matching task refers to the automatic identification of correspondences between activities in two process models. Numerous techniques have been developed for this purpose, all share a focus on process-level information. In this paper we introduce instance-based process matching, which specifically focuses on information related to instances of a process. In particular, we introduce six similarity metrics that each use a different type of instance information stored in the event logs associated with processes. The proposed metrics can be used as standalone matching techniques or to complement existing process model matching techniques. A quantitative evaluation on real-world data demonstrates that the use of information from event logs is essential in identifying a considerable amount of correspondences.

Pain perception is typically assessed using subjective measures; an objective measure of the response to pain would be valuable. In this study, Brain Network Activation (BNA), a novel multivariate pattern analysis and scoring algorithm, was applied to event-related potentials (ERPs) elicited by cortical responses to brief heat stimuli. Objectives of this study were to evaluate the utility of BNA as a quantitative and qualitative measure of cortical response to pain. Contact Heat Evoked Potentials (CHEPs) data were collected from 17 healthy, right-handed volunteers (10 M, 7F) using 5 different temperatures (35, 41, 46, 49 and 52 °C). A set of spatio-temporal activity patterns common to all the subjects in the group (Reference Brain Network Model; RBNM) was generated using the BNA algorithm, based on evoked responses at 52 °C. Frame by frame 'unfolding' of the brain network across time showed qualitative differences between responses to painful and non-painful stimuli. Brain network activation scores were shown to be a better indicator of the individual's sensitivity to pain when compared to subjective pain ratings. Additionally, BNA scores correlated significantly with temperature, demonstrated good test-retest reliability, as well as a high degree of sensitivity, specificity and accuracy in correctly categorizing subjects who reported stimuli as painful. These results may provide evidence that the multivariate analysis performed with BNA may be useful as a quantitative, temporally sensitive tool for assessment of pain perception.

The overarching goal of this event-related potential (ERP) study was to examine the effects of scopolamine on the dynamics of brain network activation using a novel ERP network analysis method known as Brain Network Activation (BNA). BNA was used for extracting group-common stimulus-activated network patterns elicited to matching probe stimuli in the context of a delayed matching-to-sample task following placebo and scopolamine treatments administered to healthy participants. The BNA extracted networks revealed the existence of two pathophysiological mechanisms following scopolamine, disconnection, and compensation. Specifically, weaker frontal theta and parietal alpha coupling was accompanied with enhanced fronto-centro-parietal theta activation relative to placebo. In addition, using the characteristic BNA network of each treatment as well as corresponding literature-guided selective subnetworks as combined biomarkers managed to differentiate between individual responses to each of the treatments. Behavioral effects associated with scopolamine included delayed response time and impaired response accuracy. These results indicate that the BNA method is sensitive to the effects of scopolamine on working memory and that it may potentially enable diagnosis and treatment assessment of dysfunctions associated with cholinergic deficiency.

ElectroInk, developed and manufactured by HP Indigo Division for its digital printing presses, is a complex fluid of unique rheological and electrical properties. Depending on the shear and the electric field the ink may be solid- or fluidlike. As ElectroInk propagates in the press from the ink reservoir to the substrate, the concentration increases while the structure of the ink changes from a dispersion of non-interacting particles to an elastic solid. The authors’ model treats ElectroInk as an interwoven structure of two continuous phases, one being a network of pigmented resin particles and the other the incorporated liquid. In an external electric field the network shrinks like a sponge and partial phase separation occurs. Application of the model is shown for the design of 100% transfer of ink from roller to roller in the press, which is necessary to meet the principal requirement of digital printing, that each printed page can be different.

Print defects like banding from a digital press involve not only luminance variation, but also chrominance variation. As digital presses place one color separation at a time, the contrast and spatial pattern of the print defects are color-space dependent. Characterizing the color-dependent features of the banding signal enables us to simulate the banding on natural document images in a more accurate way that matches the characteristics of the banding generation mechanism within the digital press. A framework is described for color-dependent banding characterization including the following steps: printing and scanning uniform patches that sample colorant combinations throughout the input document sRGB color space, extracting banding signals in the CMYK color space of the target device, and modeling the banding features in a perceptually uniform color space. We obtain a full banding features LUT for every color point in the input sRGB space by interpolating banding features extracted from measured color points. The color-dependent banding simulation framework is developed based on the banding features LUT. Using the information contained in this LUT, a single banding prototype signal is modulated in a color-space-dependent fashion that varies spatially across the natural document image. Proper execution of the framework of banding characterization and simulation requires careful calibration of each system component, as well as implementation of a complete color management pipeline.