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Background: A Window Aggregate function belongs to a class of functions, which have emerged as a very important tool for Big Data Analytics. They lend support in analysis and decisionmaking applications. A window aggregate function aggregates and returns the result by applying the function over a limited number of tuples corresponding to current tuple and hence lending support for big data analytics. We have gone through different patents related to window aggregate functions and its optimization. The cost associated with Big data analytics, especially the processing of window functions is one of the major limiting factors. However, now a number of optimizing techniques have evolved for both single as well as multiple window aggregate functions. Methods: In this paper, the authors have discussed various optimization techniques and summarized the latest techniques that have been developed over a period through intensive research in this area. The paper tried to compare various techniques based on certain parameters like the degree of parallelism, multiple window function support, execution time etc. Results: After analyzing all these techniques, segment tree data structure seems better technique as it outperforms other techniques on different grounds like efficiency, memory overhead, execution speed and degree of parallelism. Conclusion: In order to optimize the window aggregate function, segment tree data structure technique is a better technique, which can certainly improve the processing of window aggregate function specifically in big data analytics.

Purpose: To evaluate choroidal thickness in patients with non-ocular Behçet's disease (BD) using spectral domain optical coherence tomography (SD-OCT) and to compare the results to normal eyes. Methods: In this retrospective observational comparative study, we collected OCT and clinical data from the charts of 4 patients (7 eyes) with BD who had been referred for a screening eye exam and had a normal ocular examination. Data from 9 healthy volunteers (17 eyes) were collected as age-matched controls. The choroid was manually segmented from volume OCT scans using custom Doheny Image Reading Center OCT grading software (3D-OCTOR). Main outcome measures were choroidal thickness and intensity were compared between eyes of patients with BD and those of healthy controls. Results: Eyes of patients with non-ocular BD had significantly thinner mean central subfield choroidal thickness (227.5 ± 56.93 versus 306.85 ± 17.85, P = 0.04) and central subfield choroidal volume (0.18 ± 0.04 vs 0.24 ± 0.02, P = 0.005). There was no significant difference in mean choroidal thickness in the whole ETDRS grid or in mean choroidal intensity in the central subfield and the whole ETDRS grid between eyes of patients with non-ocular BD and those of controls. Conclusion: This study demonstrates that BD may have subclinical manifestations in the choroid, resulting in thinning of the choroid relative to normal eyes, even without overt signs of ocular involvement. Keywords: Choroidal thickness, Behçet's disease, Spectral domain optical coherence tomography, Choroidal intensity, Choroidal reflectivity

All Start In this examination as learning, a dataset of COVID-19 lung contaminated X-beam pictures with common infection pneumonia, insisted Covid-19 sickness, and ordinary occurrences were utilized for the programmed acknowledgment of the Corona virus infirmity. The purpose of the investigation is to the comparable portrayal of Covid-19 utilizing Convolution Neural Network and assesses the precision proposed model convolutional neural framework over the progressing years for clinical picture characterization. Corona Virus lung infected X-Ray Images accessible by Kaggle a complete 590 images, which classified in 2 classes: typical and Covid-19. To survey the hypothesis accuracy of the models. The plan models end up being productive appeared differently in relation to made by (Arpan Mangal et al, 2020), (A. A. Saraiva et al.,2020), (Ioannis D. Apostolopoulos et al, 2020), (Ali Narin et al. 2020), which gained accuracy 90.5,95.30, 96.78, 98 independently and the current work had an ordinary precision of 99.54.

Serine/threonine kinase IKBKE is a newly identified oncogene, however, its regulation remains elusive. Here, we provide evidence that IKBKE is a downstream target of STAT3 and that tobacco induces IKBKE expression through STAT3. Ectopic expression of constitutively active STAT3 led to increase of IKBKE mRNA and protein levels, whereas inhibition of STAT3 reduced IKBKE expression. Further, ex-pression levels of IKBKE are significantly associated with STAT3 activation and tobacco use history in NSCLC patients examined. In addition, we show induction IKBKE by two components of cigarette smoke, nicotine and the NNK. Upon exposure of nicotine or NNK, cells express high levels of IKBKE protein and mRNA, which are largely abrogated by inhibition of STAT3. Characterization of the IKBKE promoter revealed 2 STAT3 response elements that directly bind to STAT3 and respond to nicotine and NNK stimulation. Notably, knockdown of IKBKE not only selectively sensitizes NSCLC cells to chemotherapy but also abrogates the protective effects of constitutively activate STAT3 and nicotine on gemcitabine and cisplatin-induced apoptosis. These data indicate for first time that IKBKE is a direct target of the STAT3 and is induced by tobacco carcinogen through STAT3 pathway. In addition, our study also suggests that IKBKE is an important therapeutic target and could play a pivotal role in tobacco-associated lung carcinogenesis. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 103rd Annual Meeting of the American Association for Cancer Research; 2012 Mar 31-Apr 4; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2012;72(8 Suppl):Abstract nr 3255. doi:1538-7445.AM2012-3255