LooknLearn: An AR System of Linked Video

This paper presents an augmented reality system using video as the primary interface. Using the authoring component of this system, individuals can leave "video streams," consisting of several layers of film, movies, moving pictures, animation, video clips at a location outdoors. Using the navigation component, individuals can watch streams by walking into the area that the stream occupies. Furthermore, stream can be linked together, whereby an individual is directed from one stream to related streams in the area. Keywords: Augmented reality, video stream, navigation, authoring environment, video link

Cloud Computing Data Security: A Review

Cloud computing has great potential of providing robust computational power to the society at reduced cost. With the advent of the World Wide Web and the emergence of e-commerce applications and social networks, organizations across the world generate a large amount of data daily. This data would be more useful to cooperating organizations if they were able to share their data. Two major obstacles to this process of data sharing are providing a common storage space and secure access to the shared data. All types of users who require the secure transmission or storage of data in any kind of media or network. We are in great need of encrypting the data. A method to build a trusted computing environment for Cloud Computing system by providing Secure cross platform in to Cloud Computing system. In this method some important security services including authentication, encryption and decryption are provided in Cloud Computing system. In this paper, we propose Data Storage Security by using Trusted Platform Module to achieve storage correctness incorporating Cloud’s dynamic nature while maintaining low computation and communication cost and ensures the security of static data

I-Gel and Classic LMA - a Comparitive Study in Anaesthetized and Paralyzed Patients

This study was undertaken in 50 ASA 1 and 2 patients of age group 18 to 60 years undergoing elective surgeries of short duration. Patients were randomly divided into 2 groups of 25 each for i-gel and classic LMA. Parameters assessed were - ease of insertion of airway device i.e. no. of attempts required and time taken for effective airway establishment (TFEA), ease of gastric tube placement, gastric insufflation and regurgitation (by comparing pH of the secretions on the dorsal surface of both the devices with sensitive litmus paper), hemodynamic response to insertion of device and post-operative sore throat following general anaesthesia. Incidents like desaturation, laryngospasm, bronchospasm, gastric insufflations were noted. The mode of induction, maintenance and reversal of general anaesthesia remained the same for both the groups. Demographic data between the two groups i.e. age, weight, sex, duration of surgery was comparable and with no statistical difference between them. There was one incidence of failure of insertion with Classic LMA to achieve effective airway. Success rate of device insertion was higher for i-gel than classic LMA and was statistically significant. Mean attempt for i-gel was 1.12 (S.D 0.332), classic LMA 1.45 (S.D 0.588). Time required for effective airway establishment was shorter with i-gel 20.24 seconds (S.D 22.408) than classic LMA 52.458 (S.D 41.341) and was statistically significant P < 0.05. There were no statistical and clinical differences in hemodynamic responses to insertion of both the devices. After removal at the end of surgery blood was visible on cuffs of 3 Classic LMAs but not on any of the i-gels. No statistical difference was found in pH of the cuffs of both the devices after removal. Incidence of post-operative sore throat was more with classic LMA (mean rank 31.25) than i-gel (mean rank 19) and was statistically significant P < 0.05. To conclude i-gel is easier to insert than Classic LMA and also facilitates gastric tube placement. i-gel is appropriate device for airway management as an alternative or backup device to Classic LMA. i-gel is less traumatic to airway than Classic LMA and correctly positioned i-gel isolates glottis from upper esophagus and provides airway protection

Preparation of Mesoporous and/or Macroporous SnO2-Based Powders and Their Gas-Sensing Properties as Thick Film Sensors

Mesoporous and/or macroporous SnO2-based powders have been prepared and their gas-sensing properties as thick film sensors towards H2 and NO2 have been investigated. The mesopores and macropores of various SnO2-based powders were controlled by self-assembly of sodium bis(2-ethylhexyl)sulfosuccinate and polymethyl-methacrylate (PMMA) microspheres (ca. 800 nm in diameter), respectively. The introduction of mesopores and macropores into SnO2-based sensors increased their sensor resistance in air significantly. The additions of SiO2 and Sb2O5 into mesoporous and/or macroporous SnO2 were found to improve the sensing properties of the sensors. The addition of SiO2 into mesoporous and/or macroporous SnO2 was found to increase the sensor resistance in air, whereas doping of Sb2O5 into mesoporous and/or macroporous SnO2 was found to markedly reduce the sensor resistance in air, and to increase the response to 1,000 ppm H2 as well as 1 ppm NO2 in air. Among all the sensors tested, meso-macroporous SnO2 added with 1 wt% SiO2 and 5 wt% Sb2O5, which were prepared with the above two templates simultaneously, exhibited the largest H2 and NO2 responses

Monoamine oxidase-dependent endoplasmic reticulum-mitochondria dysfunction and mast cell degranulation lead to adverse cardiac remodeling in diabetes.

Monoamine oxidase (MAO) inhibitors ameliorate contractile function in diabetic animals, but the mechanisms remain unknown. Equally elusive is the interplay between the cardiomyocyte alterations induced by hyperglycemia and the accompanying inflammation. Here we show that exposure of primary cardiomyocytes to high glucose and pro-inflammatory stimuli leads to MAO-dependent increase in reactive oxygen species that causes permeability transition pore opening and mitochondrial dysfunction. These events occur upstream of endoplasmic reticulum (ER) stress and are abolished by the MAO inhibitor pargyline, highlighting the role of these flavoenzymes in the ER/mitochondria cross-talk. In vivo, streptozotocin administration to mice induced oxidative changes and ER stress in the heart, events that were abolished by pargyline. Moreover, MAO inhibition prevented both mast cell degranulation and altered collagen deposition, thereby normalizing diastolic function. Taken together, these results elucidate the mechanisms underlying MAO-induced damage in diabetic cardiomyopathy and provide novel evidence for the role of MAOs in inflammation and inter-organelle communication. MAO inhibitors may be considered as a therapeutic option for diabetic complications as well as for other disorders in which mast cell degranulation is a dominant phenomenon

Distributed evolutionary algorithms and their models: A survey of the state-of-the-art

The increasing complexity of real-world optimization problems raises new challenges to evolutionary computation. Responding to these challenges, distributed evolutionary computation has received considerable attention over the past decade. This article provides a comprehensive survey of the state-of-the-art distributed evolutionary algorithms and models, which have been classified into two groups according to their task division mechanism. Population-distributed models are presented with master-slave, island, cellular, hierarchical, and pool architectures, which parallelize an evolution task at population, individual, or operation levels. Dimension-distributed models include coevolution and multi-agent models, which focus on dimension reduction. Insights into the models, such as synchronization, homogeneity, communication, topology, speedup, advantages and disadvantages are also presented and discussed. The study of these models helps guide future development of different and/or improved algorithms. Also highlighted are recent hotspots in this area, including the cloud and MapReduce-based implementations, GPU and CUDA-based implementations, distributed evolutionary multiobjective optimization, and real-world applications. Further, a number of future research directions have been discussed, with a conclusion that the development of distributed evolutionary computation will continue to flourish

Conversion of biomass platform molecules into fuel additives and liquid hydrocarbon fuels

[EN] In this work some relevant processes for the preparation of liquid hydrocarbon fuels and fuel additives from cellulose, hemicellulose and triglycerides derived platform molecules are discussed. Thus, it is shown that a series of platform molecules such as levulinic acid, furans, fatty acids and polyols can be converted into a variety of fuel additives through catalytic transformations that include reduction, esterification, etherification, and acetalization reactions. Moreover, we will show that liquid hydrocarbon fuels can be obtained by combining oxygen removal processes (e.g. dehydration, hydrogenolysis, hydrogenation, decarbonylation/descarboxylation etc.) with the adjustment of the molecular weight via C C coupling reactions (e.g. aldol condensation, hydroxyalkylation, oligomerization, ketonization) of the reactive platform molecules.This work has been supported by the Spanish Government-MINECO through Consolider Ingenio 2010-Multicat and CTQ.-2011-27550, ITQ thanks the "Program Severo Ochoa" for financial support.Climent Olmedo, MJ.; Corma Canós, A.; Iborra Chornet, S. (2014). Conversion of biomass platform molecules into fuel additives and liquid hydrocarbon fuels. Green Chemistry. 16(2):516-547. https://doi.org/10.1039/c3gc41492bS51654716