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Human-computer interface and device architecture play a crucial role in a dynamic retail market in the modern age of information technology. In a virtual universe, infrastructure is configured to construct a setting that fascinates and makes shoppers spend more time in the store on purchase. A retailer's progress depends on the quick response and deployment of emerging technology to ease the customer shopping experience. A retail sector's performance depends on virtual businesses. Digital signage is often widely used for the promotion of various shop materials. The objective of this paper is to choose a specific digital signage style. To enhance customer service management, digital signs can be placed in various contexts, such as subway stations, shopping centres, airline terminals, etc. The system indicated that the Short Answer code of the product is checked, and afterwards, the product reaches the end of the consumer. The flower, pipeline and guidance arrangement are included in the meaning of digital signage. Statistical findings indicate that the design has a substantial effect on the actions of consumers. In addition, contact with humans and the machine may help us recognise consumers' interaction with digital signs. [ABSTRACT FROM AUTHOR]

With advancement in multimedia applications, Wireless sensor networks (WSNs) are becoming popular due to their inherent characteristics and wide range of applications. However, WSNs contain very small sensor nodes, these nodes are battery constrained. Also, the batteries of these sensor nodes are not either replaceable or rechargeable. Therefore, many energy efficient protocols have been implemented so far to improve the network lifetime. However, the data aggregation at sink may suffer from data flooding issue, which reduces the network lifetime of WSNs. For handling this issue, in this paper, an effective data aggregation approach is designed. We have designed a priority-based data aggregation control protocol, which considers token bucket, Lempel–Ziv–Welch (LZW) compression and a hybrid of ant colony optimization and particle swarm optimization-based soft computing approach. Extensive experiments reveal that the presented protocol provides better network lifetime in contrast to the existing energy efficient protocols. [ABSTRACT FROM AUTHOR]

Due to the different connotations (ideas) of Big Data, there are different definitions of Big Data. In today's technical era, the advent of technology leads to an explosive increase in digital data (like posts on social media, transaction records, GPS signals, digital images and videos etc.). The Data can be structured, unstructured (like XML) and semi-structured. It is easy to manipulate structured or traditional data that centralized in nature and present in Gigabytes, Terabytes whereas the Big Data which is distributed in nature and present in Petabytes (1015 bytes), Exabytes (1018 bytes), Zettabytes (1021 bytes or 1012 GB), Yottabytes (1024 bytes) raise the data warehousing cost. Big Data refers to enormous datasets which act as a key to many business operations. Therefore, there is a need to utilize such enormous data that are formidable (difficult) to gather, manipulate and processed by traditional information technology and to ensure its efficient storage. This paper demonstrates a close-up view of Big Data visual analytics as well as technology adapts to deal with its problems like data deluge (a large amount of data come at the same time). [ABSTRACT FROM AUTHOR]

Background and Aims: Patients with Barrett's esophagus (BE) are at an increased risk for developing esophageal adenocarcinoma (EAC); thus they may undergo regular endoscopic surveillance. If epithelial changes cannot be unequivocally classified as negative or positive for dysplasia, a diagnosis of indefinite for dysplasia (IND) is recommended. Several biomarkers have been proposed as markers or predictors of neoplasia in the general BE population; however, their significance is not clear in patients with BE-IND. We therefore performed a retrospective study to determine whether expression of these biomarkers was associated with the development of neoplasia in BE-IND patients., Methods: We searched our archives to identify all cases of BE-IND diagnosed between January 1992 and December 2007. Immunohistochemical analyses were used to semi-quantify the expression of p53, α-methylacyl-CoA racemase (AMACR), and cyclin D1. A univariate analysis was used to identify predictors for prevalent and incident neoplasia and advanced neoplasia., Results: Among the 103 patients with an index diagnosis of BE-IND who were included in this study, 81 (78.6%) underwent a follow-up biopsy within 12 months of diagnosis; 10 (12.3%) had neoplasia, including four (4.9%) with advanced neoplasia. Among 79 patients without prevalent neoplasia who underwent more than 1 year of follow-up, 18 (22.8%) had developed neoplasia, including four (5.1%) with advanced neoplasia. AMACR and cyclin D1 expression levels were not correlated with prevalent or incident neoplasia; however, high p53 expression (>5%) was associated with prevalent advanced neoplasia on surveillance biopsy (P = 0.04) and with an increased risk of progression to advanced neoplasia (HR = 12; P = 0.03)., Conclusion: In this study, p53 expression was found to be predictive of prevalent advanced neoplasia and progression to advanced neoplasia in patients with BE-IND., (© The Author(s) 2015. Published by Oxford University Press and the Digestive Science Publishing Co. Limited.)

Lennox-Gastaut syndrome (LGS) is a devastating and refractory generalized epilepsy affecting children and adolescents. In this study we report the results of resective surgery in 18 patients with LGS phenotype who underwent single-lobe/lesionectomy or multilobe resection plus multiple subpial transection and/or callosotomy. After surgery, seven patients became completely seizure-free (Engel Class I) and five almost seizure-free (Engel Class II). Additional four had significant seizure control (Engel Class III), and two had no change in seizure frequency (Engel Class IV). Of the 4 patients without any lesion on brain MRI, 2 ended with Engel Class II, 1 with III and the other with IV in Engels' classification. Mean intelligence quotient (IQ) increased from 56.1 ± 8.1 (mean ± SD) before operation to 67.4 ± 8.2 (mean ± SD) after operation, a significant improvement (P = 0.001). Results also indicated that the younger the patient at surgery, or the shorter the interval between onset of seizure and resective operation, the better the intellectual outcome. Our data suggest that resective epilepsy surgery can be successful in patients with LGS phenotype as long as the EEG shows dominance of discharges in one hemisphere and corresponding ipsilateral imaging findings, even with contralateral ictal discharges.