Abstract The recent claim of Google to have brought forth a breakthrough in quantum computing represents major impetus further analyze the foundations for any claims superiority regarding algorithms. This note attempts present conceptual step this direction. I start with critical analysis what is commonly referred as entanglement and nonlocality whether or not these concepts may be basis superi...

The Advanced Network Technologies is research that investigates technology(s) behind today’s modern networks and network infrastructures. One part of this technology being Asynchronous Transfer Mode (ATM). A technology commonly in place in networks all around the world today. This paper focuses on ATM. Dubbed “Modelling and Performance Studies of ATM Networks”; this research seeks to look at an...

AAindex is a database of numerical indices representing various physicochemical and biochemical properties of amino acids and pairs of amino acids. We have added a collection of protein contact potentials to the AAindex as a new section. Accordingly AAindex consists of three sections now: AAindex1 for the amino acid index of 20 numerical values, AAindex2 for the amino acid substitution matrix a...

Fermilab, in collaboration with the DESY laboratory in Hamburg, Germany, has created a petabyte scale data storage infrastructure to meet the requirements of experiments to store and access large data sets. The Fermilab data storage infrastructure consists of the following major storage and data transfer components: Enstore mass storage system, DCache distributed data cache, ftp and Grid ftp fo...

Fourier transform profilometry (FTP) is one of the frequently adopted three-dimensional (3D) shape measurement methods due to its ability to recover single-shot 3D shapes, yet it is challenging to retrieve the absolute phase map solely from one single grayscale fringe image. This paper presents a computational framework that overcomes this limitation of FTP with digital fringe projection (DFP)....

We report 1,656 new star clusters found in the Galactic disk (|b|<20 degrees) beyond 1.2 kpc, using Gaia EDR3 data. Based on an unsupervised machine learning algorithm, DBSCAN, and followed our previous studies, we utilized a unique method to do data preparation obtained clustering coefficients, which proved be effective way search blindly for clusters. tabulated physical parameters member star...