This study examines an online pilot program introduced by the US federal government in 2012 to help fulfill mandates of the Freedom of Information Act.The FOIAonline program has not been subject yet to academic scrutiny.The study herein aims to initiate Calcium Magnesium discussion about anticipated and unforeseen legal and political implications o
Study of interaction energies between residues of the active site of Hsp90 and geldanamycin analogues using quantum mechanics/molecular mechanics methods [version 1; peer review: 2 approved]
Background: Heat shock protein (Hsp90KDa) is a molecular chaperone involved in the process of cellular oncogenesis, hence its importance as a therapeutic target in clinical Hockey Accessories - Pucks trials.Geldanamycin is an inhibitor of Hsp90 chaperone activity, which binds to the ATP binding site in the N-terminal domain of Hsp90.However, geldan
Detection of Pine Shoot Beetle (PSB) Stress on Pine Forests at Individual Tree Level using UAV-Based Hyperspectral Imagery and Lidar
In recent years, the outbreak of the pine shoot beetle (PSB), Tomicus spp., has caused serious shoots damage and the death of millions of trees in Yunnan pine forests in southwestern China.It is urgent to develop a convincing approach to accurately assess the shoot damage ratio (SDR) for monitoring the PSB insects at an early stage.Unmanned airborn
Interference alignment with receive antenna partitioning for SWIPT-enabled fog RANs
We propose a novel interference alignment (IA) technique with receive antenna partitioning (RAP) for simultaneous wireless information and power transfer (SWIPT)-enabled downlink fog radio access networks (F-RANs).The basic idea of the proposed scheme is to apply a generalized downlink IA for each access point (AP) and to divide receive antennas at
Joint Learning of Correlation-Constrained Fuzzy Clustering and Discriminative Non-Negative Representation for Hyperspectral Band Selection
Hyperspectral band selection plays an important role in overcoming the curse of dimensionality.Recently, clustering-based band selection methods have shown promise in the selection of informative and representative bands from hyperspectral images (HSIs).However, most existing clustering-based band selection methods involve the clustering of origina