YinzCam is a cloud-hosted service that provides sports fans with real-time scores, news, photos, statistics, live radio, streaming video, etc., on their mobile devices. YinzCam’s infrastructure is currently hosted on Amazon Web Services (AWS) and supports over 7 million downloads of the official mobile apps of 40+ professional sports teams and venues. YinzCam’s workload is necessarily multi-mod...

A novel strategy to increase protein expression yield is unintended induction of expression in complex media, called auto-induction. This method can be used to express proteins under control of the lac promoter without any need to monitor bacterial growth pattern, and addition of specific expression inducers such as Isopropyl β-D-1-thiogalactopyranoside (IPTG) at proper time. In the present stu...

A novel strategy to increase protein expression yield is unintended induction of expression in complex media, called auto-induction. This method can be used to express proteins under control of the lac promoter without any need to monitor bacterial growth pattern, and addition of specific expression inducers such as Isopropyl β-D-1-thiogalactopyranoside (IPTG) at proper time. In the present stu...

the factors such as disease can disrupt homeostasis, resulting in perturbations of endogenous biochemicals that are involved in key metabolic profiles. metabonomics is useful technique to quantitative description of endogenous metabolites present in a biological sample such as urine, plasma and tissue. high resolution 1 h nuclear magnetic resonance (nmr)-based metabonomics is a technique used t...

Cloud computing is a base platform for the distribution of large volumes of data and high-performance image processing on the Web. Despite wide applications in Web-based services and their many benefits, geo-spatial applications based on cloud computing technology are still developing. Auto-scaling realizes automatic scalability, i.e., the scale-out and scale-in processing of virtual servers in...

Clustering is a useful technique that divides data points into groups, also known as clusters, such that the data points of the same cluster exhibit similar properties. Typical clustering algorithms assign each data point to at least one cluster. However, in practical datasets like microarray gene dataset, only a subset of the genes are highly correlated and the dataset is often polluted with a...

background: auto-acupressure is an effective pain treatment method in various conditions. the aim of this study was determining of auto-acupressure efficacy in patients with migraine. methods: 48 voluntary subjects were selected using convenience sampling method and randomized into two, auto-acupressure (25 patients) and control (23 patients), groups.  intervention for the treatment group inclu...

Multi-view clustering has gained broad attention owing to its capacity exploit complementary information across multiple data views. Although existing methods demonstrate delightful performance, most of them are high time complexity and cannot handle large-scale data. Matrix factorization-based models a representative solving this problem. However, they assume that the views share dimension-fix...