An analytical model of prominence dynamics

Solar prominences are magnetic structures incarcerating cool and dense gas in an otherwise hot solar corona. Prominences can be categorized as quiescent and active. Their origin and the presence of cool gas (~$10^4$K) within the hot (~$10^6$K) solar corona remains poorly understood. The structure and dynamics of solar prominences was investigated in a large number of observational and theoretical (both analytical and numerical) studies. In this paper, an analytic model of quiescent solar prominence is developed and used to demonstrate that the prominence velocity increases exponentially, which means that some gas falls downward towards the solar surface, and that Alfven waves are naturally present in the solar prominences. These theoretical predictions are consistent with the current observational data of solar quiescent prominences.Comment: Update Final Journal Print Version along with other Metadat

Identification and Intervention for Action Planning Deficits in Children With Hemiplegic Cerebral Palsy

The primary purpose of this investigation was to describe and quantify action-planning deficits during goal-directed movements in children with hemiplegic cerebral palsy (HCP). Three specific topics were addressed: brain activation, kinematics, and the use of visual input. First, we assessed prefrontal cortex (PFC) activation during complex goal-directed actions in children with HCP. The outcome suggested that children with HCP have higher PFC activation than age matched typically developing (TD) children during action planning, potentially due to the difficulty in allocating attentional resources for simultaneously processing the cognitive (i.e., attention, memory, information processing) and motor demands of the goal-directed task. Reduced task performance paralleled the increased cortical activation. Secondly, we explored the kinematics of action planning and execution of goal-directed action of children with HCP. We found that children with HCP lack forward planning capacity of sequential action, which further impacts the ability to execute action. Thirdly, we explored anticipatory visual patterns and the temporal coupling between eye and hand in children with HCP. The outcomes from this study indicate delays in anticipatory vision and impaired visuomotor coordination, potential factors responsible for the delay in motor performance in children with HCP. Moreover, we observed increased visual monitoring of the moving arm, a potential compensatory mechanism for impaired proprioception of the arm. A secondary purpose was to evaluate whether hand arm bimanual intensive therapy (HABIT) improves action planning and subsequent action execution deficits, and improves PFC activation. After completion of 50-hours of HABIT program, children with HCP displayed reduction in PFC activation. The reduction in cortical activation was accompanied by clinically relevant improvements in bimanual coordination, affected hand function, and motor task performance. Altogether this investigation provides novel information about the action planning and subsequent action execution deficits and the influence of therapeutic interventions in reducing these deficits to optimize learning motor skills in children with HCP

Synthesis and analysis of reactive nanocomposites prepared by arrested reactive milling

Different types of reactive nanocomposites have been synthesized by Arrested Reactive Milling (ARM). The technical approach was to increase the interface area available for heterogeneous reaction between solid fuel and oxidizer components. Using aluminum as the main fuel and different metal oxides as oxidizers, highly energetic reactive nanocomposites with different degrees of structural refinement were synthesized. Specifically, stoichiometric Al-MoO3, Al-CuO, and Al-NaNO3 material systems were studied in detail. The correlation of heterogeneous exothermic reactions occurring in the nanocomposite powders upon their heating at low rates and ignition events observed for the same powders heated rapidly was of interest. Differential scanning calorimetry (DSC), X-ray diffraction (XRD) and heated filament ignition experiments were used to quantify the ignition kinetics and related reaction mechanisms. Fuel rich Al-MoO3 nanocomposites were also synthesized using ARM. Optimum composition and milling parameters were identified for fuel-rich compositions. Analysis of exothermic reactions in Al-MoO3 system showed that kinetics of such reactions could not be determined by isoconversion processing and respective activation energies could not be meaningfully found as functions of reaction progress. Instead, detailed DSC measurements at different heating rates are required to enable one in developing a multi-step kinetic model to describe such reactions adequately

Quantitative Estimation of Biochemical and Inorganic Constituents Present in the GallStones

Carcinoma of gallbladder has an unusual geographic distribution. Gallbladder cancer is the most common type of biliary tract cancer which is the fifth most common gastrointestinal tract cancer and sixth most common digestive tract malignancy. Thus, the study was carried out based on quantitative analysis of biochemical constituents (cholesterol, bilirubin, bile acids, fatty acids, phospholipids and soluble protein) and inorganic constituents (sodium, potassium, calcium, magnesium, inorganic phosphate, oxalate and chloride) in all the three types of gallstones and also compare the present findings with other researchers findings. The results indicated that out of 179 gallstones, 41 were of cholesterol type, 77 mixed and 61 of pigment type. Cholesterol content was found to be the major component in all the three types of stones. Also, cholesterol stones had higher content of total cholesterol, fatty acids, phospholipids and inorganic phosphates as compared to mixed stones and pigment stones. While in case of pigment stones bilirubin, bile acids, soluble protein, sodium, potassium, calcium were found to be higher as compared to cholesterol and mixed stones. The overall findings with respect to biochemical constituents resulted that the cholesterol saturation is mostly responsible for crystallization sequences in human gallbladder

Review of Traffic Sign Detection and Recognition Techniques

Text, as one of the most compelling developments of humankind, has assumed a significant job in human life, so distant from antiquated occasions. The rich and exact data epitomized in content is extremely helpful in a wide scope of vision-based applications; along these lines content detection and recognition in regular scenes have turned out to be significant and dynamic research points in PC vision and report investigation. Traffic sign detection and recognition is a field of connected PC vision research worried about the programmed detection and grouping or recognition of traffic signs in scene pictures procured from a moving vehicle. Driving is an assignment dependent on visual data handling. The traffic signs characterize a visual language translated by drivers. Traffic signs convey much data important for effective driving; they portray current traffic circumstance, characterize option to proceed, preclude or grant certain headings. In this paper, talked about different detection and recognition schemes

Clinical profile and outcome of shock in mechanically ventilated patients in pediatric intensive care unit of tertiary care centre

Background: The clinical syndrome of shock, a clinical state characterized by inadequate tissue perfusion, is one of the most dramatic, dynamic and life-threatening problems faced by the physician in the critical care setting.Methods: Retrospective observational study of all critically ill children between 1month-12years who were admitted and mechanically ventilated in our 8-bedded PICU between January 2015 to June 2016; and had clinical evidence of shock. PIM3 (Paediatric Index of Mortality 3) was calculated. Authors noted morbidity and mortality pattern in all types of shock including outcome in Paediatric ICU. The data collected were compiled and tabulated.Results: The frequency of shock in authors’ Paediatric intensive care unit was 8.6% (n=780). However, among mechanically ventilated patients it was present in 65.5% patients. Septic shock was the most commonly encountered shock (n=48, 61.5%). Mortality was highest in cardiogenic shock (n=12, 80%) and obstructive shock (n=4, 80%). Survival was best in Hypovolemic shock. Authors found significant correlation between LOS MV and mortality (p=0.018). Type of shock had no correlation with PIM3 score (p=0.374) and mortality (p=0.884). Blood culture yield was positive in 26.9% patients with Klebsiella pneumoniae, Pseudomonas aeruginosa and MRSA being most common organisms isolated.Conclusions: Shock is a major cause of morbidity and mortality in children especially below 5yrs of age. Septic shock was the commonest form of shock in children. Severe pneumonia was the commonest illness causing septic shock. Mortality was associated with longer length of stay on mechanical ventilation. Larger prospective multicentric study in developing countries is desirable

Detection and Localization of Wireless Jammer using XBee module

Now days, wireless technologies has becomes more popular and affordable. In every field e.g. government sector, education, business, military, medical etc. use of wireless network have been increased which enables broad class of new applications. These applications make work easier and faster but one threat which is harmful i.e. jamming attack. The wireless jammer continually emits a radio signal along the same frequency that the wireless nodes use. Jamming technology generally does not discriminate between desirable and undesirable communication. A jammer can block all radio communication on any device that operates on radio frequencies within its range which create nuisance in our critical communication services. Most reliable solution to avoid nuisance is detection and localization of wireless jammer which helps to take further security actions. This project aims to detect wireless jammer and find the location of wireless jammer by experimental setup. DOI: 10.17762/ijritcc2321-8169.15017

A Method for Two Face Detection and Comparison using Image Processing with MATLAB Techniques

This Research paper designing for two photos face similarity comparison method, first we have to capture camera picture for 13 megapixels of two faces Image. It should be set by Photoshop software from size between 1.5MB to 1.7 MB. The all sample Images to attach in MATLAB software and cerate joint Histogram graph for each Image. Then we get scaling (X, Y) coordinate for each joint Histogram minimum and maximum peak point. Then it should be stored in table format in Ms-Access before the table creation then we used to image processing technique in MATLAB .Then we create coddling sections to compared (Xi,Yi) and (Xj,Yj) where (i = 1,2,3.?.) and (j = 1,2,3,4?.) values. If Xi = Xj and Yi = Yj for each point if both point value are same then output will be ?similar image ? otherwise ? images are not same ?