Three-dimensional pseudocontinuous arterial spin labeling does not appear to be a reliable technique in the current form and may not be a suitable replacement for DCE in grading of glioma.

Composites play significant role as engineering material and their use has been increasing day by day due to their specific properties such as high strength to weight ratios, high modulus to weight ratio, corrosion resistance, and wear resistance. In present work, an attempt is made to hybridize the material using synthetic (glass) as well as natural fibres (chemically treated jute), such that to reduce the overall use of synthetic reinforcement, to reduce the overall cost, and to enhance the mechanical properties. All composite specimens with different weight percentages of fibres were manufactured using hand lay-up process and testing was done by using ASTM standards. Experimental results revealed that hybridization of composite with natural and synthetic fibres shows enhanced tensile strength, flexural strength, and impact strength. The content of natural reinforcement was found to be in the range of 25–33.3% for best results. The effect of treated jute on flexural properties was more than that on tensile properties, which was due to greater stiffness of jute fibers. Chemical treatment of jute fibers lowers the water absorption and results were comparable to glass fiber reinforced polyester composites. The addition of jute also reduced the overall cost by 22.18%.

Machine Learning is a growing area in computer science in today’s era. This article is focusing on prediction analysis using K-Nearest Neighbors (KNN) Machine Learning algorithm. Data in the dataset are processed, analyzed and predicated using the specified algorithm. Introduction of various Machine Learning algorithms, its pros and cons have been discussed. The KNN algorithm with detail study is given and it is implemented on the specified data with certain parameters. The research work elucidates prediction analysis and explicates the prediction of quality of restaurants.

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Aim:Abnormal motor response in the form of decerebration signifies either injury or compression of brain stem. The presence of decerebrate rigidity following head injury is a grave prognostic sign. Mortality may increase up to 70% in patients showing signs of decerebration. Although many studies have identified the prognostic factors in severe head injuries, few studies have focused on the operated patients with decerebration in predicting the long-term outcome. This study was planned to determine the outcome in this group of patients for prognostication and to help plan further line of management.Materials and Methods:All the patients admitted with severe head injury with decerebration (M2 motor response) admitted in neurosurgery department from September 2009 to January 2011 were included in the study. All the patients had operable supratentorial mass lesions with no direct evidence of brain stem damage. Patients with penetrating injury and diffuse injury with no operative mass lesions were excluded from the study. Clinical and computerized tomography (CT) data were correlated with outcome retrospectively. Glasgow outcome scale (GOS) was used as a measure of functional outcome.Results:The patients admitted with decerebration (M2 motor response) comprised 8% of the total head injury related operative procedures performed at our institute during the period. Of the 72 patients, 14 (19%) patients were more than 60 years old and 21% (15) were females. The surgical mass lesions comprised extradural hematoma in 27 (38%), cerebral contusions in 19 (26%), acute Subdural Hematoma alone in 7 (10%), and acute Subdural Hematoma (SDH) with cerebral contusion in 19 (26%) of the patients. Of the 72 patients, 36(50%) were operated within 24 hours of injury Follow-up of all, but 2 (3%) was obtained. Favorable outcome (GOS 4 and 5) was obtained in 14% (n = 10) of the patients with 83% (n = 60) mortality rate. The favorable outcome rate among the patients operated for Extradural Hematoma was 26% and for cerebral contusions was 11%. Only 5% of the patients operated for acute SDH survived.Conclusion:Radiological diagnosis (type of lesion), followed by duration of decerebration and age of the patient are the most important prognostic factors determining the outcome of surgery in decerebrating patients. Our results confirm that despite the poor prognosis in decerebrate patients, a significant number of patients may still survive and have a good outcome.

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Now a days thousands of malware samples are received by anti-malware companies on daily basis. And these large numbers are send for analysis by a number of automated analysis tools. These tool automatically execute a program in a controlled environment and generate a report describing the program's behaviour.This research paper is a contribution towards the Dynamic Malware analysis. The aim is to provide the general malware features found in recent malware by performing dynamic malware analysis using cuckoo sandbox executed on Windows XP (SP3). This paper also discusses the detailed information about techniques & tools used in dynamic malware analysis.