Intelligent Design for SMS module by Ranked based Pre-emptive Job Scheduling Algorithm

In the recent years, mobile phones have become one of the most essential electronic devices in our day to day life. Just like other electronic devices, mobile phones too work on OS. The most commonly used OS are Android mobile OS and Windows mobile OS. Android Mobile OS is an open source platform and was developed by Google based on Linux kernel. Windows Mobile OS was developed by Microsoft Corporation which is a closed source platform and it is deemed as a new generation of the OS, it is definitely an OS that we need to look out for. Windows mobile OS uses Windows CE based architecture at kernel level. Just like its counterparts it provides basic functionalities like process scheduling, file management, memory management, resource allocation etc. Out of this, technique scheduling performs an important role in standard performance of any OS because a super platform is that in which no useful resource struggle arises. on this paper we goal to attention on making use of Ranked primarily based pre-emptive task scheduling set of rules on SMS utility of home windows mobile OS. here person affix high ranked to positive contacts, say often used contacts like mother and father or instructors or friends, in such instances if an SMS from those contacts are acquired the proposed utility could render a pop-up notification displaying this high ranked message by means of interrupting on-going process on the display. In flip the high ranked message might be redirected toward and saved in ranked inbox rather than default in container, so that the user can effortlessly get right of entry to the message as and whilst required

SCHEDULING OF UPDATES IN DATA WAREHOUSES

ABSTRACT A stream warehouse enables queries that seamlessly range from realtime alerting and diagnostics to long-term data mining. Continuously loading data from many different and uncontrolled sources into a real-time stream warehouse introduces a new consistency problem: users want results in as timely a fashion as possible, but "stable" results often require lengthy synchronization delays. In this paper we develop a theory of temporal consistency for stream warehouses that allows for multiple consistency levels. We model the streaming warehouse update problem as a scheduling problem, where jobs correspond to processes that load new data into tables, and whose objective is to minimize data staleness over time

Esophageal submucosa: The watershed for esophageal cancer

ObjectivesSubmucosal esophageal cancers (pT1b) are considered superficial, implying good survival. However, some are advanced, metastasizing to regional lymph nodes. Interplay of cancer characteristics and lymphatic anatomy may create a watershed, demarcating low-risk from high-risk cancers. Therefore, we characterized submucosal cancers according to depth of invasion and identified those with high likelihood of lymph node metastases and poor survival.MethodsFrom 1983 to 2010, 120 patients underwent esophagectomy for submucosal cancers at Cleveland Clinic. Correlations were sought among cancer characteristics (location, dimensions, histopathologic cell type, histologic grade, and lymphovascular invasion [LVI]), and their associations with lymph node metastasis were identified by logistic regression. Associations with mortality were identified by Cox regression.ResultsAs submucosal invasion increased, cancer length (P < .001), width (P < .001), area (P < .001), LVI (P = .007), and grade (P = .05) increased. Invasion of the deep submucosa (P < .001) and LVI (P = .06) predicted lymph node metastases: 45% (23/51) of deep versus 10% (3/29) of middle-third and 7.5% (3/40) of inner-third cancers had lymph node metastases, as did 46% (12/26) with LVI versus 18% (17/94) without. Older age and lymph node metastases predicted worse 5-year survival: 94% for younger pN0 patients, 62% for older pN0 patients, and 36% for pN1-2 patients regardless of age.ConclusionsSubmucosal cancer characteristics and lymphatic anatomy create a watershed for regional lymph node metastases in the deep submucosa. This previously unrecognized divide distinguishes superficial submucosal cancers with good survival from deep submucosal cancers with poor survival. Aggressive therapy of more superficial cancers is critical before submucosal invasion occurs

Influence of Alloying Materials Al, Cu, and Ca on Microstructures, Mechanical Properties, And Corrosion Resistance of Mg Alloys for Industrial Applications: A Review

Magnesium is renowned for its favorable low-density attributes, rendering it a viable choice for commercial engineering applications in which weight has substantial design implications. Magnesium (Mg) stands as a readily obtainable metallic element, exhibiting robustness, efficient heat dissipation, and excellent damping properties. The utilization of pure magnesium remains infrequent due to its susceptibility to instability under high temperatures and pronounced vulnerability to corrosion within humid environments. Hence, the incorporation of magnesium alloys into the design process of aircraft, automotive, and biomedical applications assume paramount importance. This Review presents a comprehensive review of research endeavors and their resultant achievements concerning the advancement of magnesium alloys. Specifically focusing on aerospace, automotive, and biomedical applications, the Review underscores the pivotal role played by alloying constituents, namely aluminum (Al), copper (Cu), calcium (Ca), and PEO coatings, in influencing the microstructural attributes, mechanical potency, and resistance to corrosion

Albiglutide and cardiovascular outcomes in patients with type 2 diabetes and cardiovascular disease (Harmony Outcomes): a double-blind, randomised placebo-controlled trial

Background: Glucagon-like peptide 1 receptor agonists differ in chemical structure, duration of action, and in their effects on clinical outcomes. The cardiovascular effects of once-weekly albiglutide in type 2 diabetes are unknown. We aimed to determine the safety and efficacy of albiglutide in preventing cardiovascular death, myocardial infarction, or stroke. Methods: We did a double-blind, randomised, placebo-controlled trial in 610 sites across 28 countries. We randomly assigned patients aged 40 years and older with type 2 diabetes and cardiovascular disease (at a 1:1 ratio) to groups that either received a subcutaneous injection of albiglutide (30–50 mg, based on glycaemic response and tolerability) or of a matched volume of placebo once a week, in addition to their standard care. Investigators used an interactive voice or web response system to obtain treatment assignment, and patients and all study investigators were masked to their treatment allocation. We hypothesised that albiglutide would be non-inferior to placebo for the primary outcome of the first occurrence of cardiovascular death, myocardial infarction, or stroke, which was assessed in the intention-to-treat population. If non-inferiority was confirmed by an upper limit of the 95% CI for a hazard ratio of less than 1·30, closed testing for superiority was prespecified. This study is registered with ClinicalTrials.gov, number NCT02465515. Findings: Patients were screened between July 1, 2015, and Nov 24, 2016. 10 793 patients were screened and 9463 participants were enrolled and randomly assigned to groups: 4731 patients were assigned to receive albiglutide and 4732 patients to receive placebo. On Nov 8, 2017, it was determined that 611 primary endpoints and a median follow-up of at least 1·5 years had accrued, and participants returned for a final visit and discontinuation from study treatment; the last patient visit was on March 12, 2018. These 9463 patients, the intention-to-treat population, were evaluated for a median duration of 1·6 years and were assessed for the primary outcome. The primary composite outcome occurred in 338 (7%) of 4731 patients at an incidence rate of 4·6 events per 100 person-years in the albiglutide group and in 428 (9%) of 4732 patients at an incidence rate of 5·9 events per 100 person-years in the placebo group (hazard ratio 0·78, 95% CI 0·68–0·90), which indicated that albiglutide was superior to placebo (p&lt;0·0001 for non-inferiority; p=0·0006 for superiority). The incidence of acute pancreatitis (ten patients in the albiglutide group and seven patients in the placebo group), pancreatic cancer (six patients in the albiglutide group and five patients in the placebo group), medullary thyroid carcinoma (zero patients in both groups), and other serious adverse events did not differ between the two groups. There were three (&lt;1%) deaths in the placebo group that were assessed by investigators, who were masked to study drug assignment, to be treatment-related and two (&lt;1%) deaths in the albiglutide group. Interpretation: In patients with type 2 diabetes and cardiovascular disease, albiglutide was superior to placebo with respect to major adverse cardiovascular events. Evidence-based glucagon-like peptide 1 receptor agonists should therefore be considered as part of a comprehensive strategy to reduce the risk of cardiovascular events in patients with type 2 diabetes. Funding: GlaxoSmithKline

Resource Aware Smart Power Supply Decision Making for Multi-Input Power System

Improvement of energy efficiency is very much crucial for off grid renewable energy power source in rural areas. Owning to the nature of renewable energy such as sporadic energy producing and inclination in escalation of overall power consumption in rural home appliances (HA), resulted in increasing risks of losing appliances operation sustainability. Smart power management system is very much needed to optimize the power usage from the multi input off-grid renewable energy power supply which be able to deployed in off grid remote areas. Therefore, this thesis proposes the ideas on resource aware smart power supply decision making for multi input power system. This thesis also presents an analogy of “proposed hybrid system which contains solar power, micro hydropower and diesel power generator” to “standalone renewable energy system” on provision power-based load profile. The percentage of power conserved using smart system has been up to 37.5% over conventional standalone micro hydropower system and the amount of diesel consumed is 71.9% less than the conventional diesel power generator system under critical situation. The percentage of power waste of the smart system can be as low as 10%. The power waste is only caused by the allocation power for the buffer system. Average potential battery life span using the smart system has been extended to 13.12 years which is a 105% improvement over the conventional solar system. The power decision making takes control of the hybrid system in which finding the best power fitness for the load power demand by choosing the best single or combination of renewable energy power source to achieve optimum power usage and hence increase the load power sustainability and minimize the overall power wast

Performance analysis of screening diabetic retinopathy

804-809This study presents a new method for screening Diabetic Retinopathy (DR), is the leading ophthalmic pathological cause of blindness among people of working age in developed countries. The first manifestations of DR are tiny capillary dilations known as Microaneurysms (MA) and Exudates. It may provide an early indication of the risk of the Type –I Diabetes. The various features of the images of the Retinal Vessels are used to indicate the different MA’s and Exudates disease processes. Neural Networks and k-means clustering provide significant benefits in medical research. This Proposed work deals DR with Segmentation and Classification algorithms for the analysis of Retina images. This effectiveness and robustness, together with its simplicity make this Optimized analysis for being integrated into a complete screening system for early DR detection. It proposes an Optimized Soft Computing technique approach for screening the Diabetic retinopathy