Haemolytic uremic syndrome (HUS) is a clinical syndrome characterised by progressive kidney failure associated with microangiopathic haemolytic anemia and thrombocytopenia. Women may be genetically predisposed to develop HUS which gets aggravated by pregnancy. We presented a case of 25 year old G2p1l1 with h/o 9 months amenorrhoea was admitted in active labour, underwent emergency caesarean section for non-progression of labour. Postoperatively patient had decreased urine output with unexplained thrombocytopenia with deranged renal function tests and increased serum LDH with normal coagulation profile and no any evidence of foci of infection for which HUS was suspected. Patient was treated with hemodialysis, plasmapheresis and other supportive medical treatment.
MapReduce might be a modish computing paradigm in Hadoop. MapReduce is utilized for large-scale process in large info. However, the slot-based MapReduce system (e.g., Hadoop MRv1) can suffer from poor performance as a result of its unoptimized resource allocation. to resolve this downside this paper identifies and optimizes the resource allocation from three key aspects.First, alowing to the pre-configuration of distinct reduce slots and map slots that aren't fungible, slots will be severely under-utilized. as a result of map slots can be totally used whereas reduce slots area unit empty, and vice-versa. This paper conjointly proposes another technique known as Dynamic Hadoop Slot Allocation by keeping the slot-based model. It relaxes the slot allocation constraint to permit slots to be reallocated to either map or reduce tasks reckoning on their desires. Second, the speculative execution will tackle the strayer drawback, that has shown to boost the performance for one job however at the expense of the cluster potenc In view of this, we tend to propose Speculative Execution Performance leveling to balance the performance between one job and a bunch of jobs. Third, delay programming has shown to enhance the info neighbourhood however at the price of fairness. to boot, the paper propose a way referred to as Slot PreScheduling which will improve the info neighbourhood however with no impact on fairness. Finally, by combining these techniques along, we tend to type a gradual slot allocation system referred to as DynamicMR which will improve the performance of MapReduce workloads considerably.
In order to strengthen the security and defense of our country we desperately require robotic system which will forearm our defense system. So, we have designed a prototype for a navigation and combat ship. We have thoroughly tested it in water.
Image classification is one amongst classical issue of concern in image processing. There are various techniques for solving this issue. Sign languages are natural language that want to communicate with deaf and mute people. There's much different sign language within the world. But the most focused of system is on Sign language (SL) which is on the way of standardization there in the system will focused on hand gestures only. Hand gesture is extremely important a part of the body for exchange ideas, messages, and thoughts among deaf and dumb people. The proposed system will recognize the number 0 to 9 and alphabets from American language. It'll divide into three parts i.e., pre-processing, feature extraction, classification. It'll initially identify the gestures from American Sign language. Finally, the system processes that gesture to recognize number with the assistance of classification using CNN. Additionally, we'll play the speech of that identified alphabets. Keywords: Hybrid Approach, American Sign Language, Number Gesture Recognition. Feature Extraction.
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