A Survey of Air-to-Ground Propagation Channel Modeling for Unmanned Aerial Vehicles

In recent years, there has been a dramatic increase in the use of unmanned aerial vehicles (UAVs), particularly for small UAVs, due to their affordable prices, ease of availability, and ease of operability. Existing and future applications of UAVs include remote surveillance and monitoring, relief operations, package delivery, and communication backhaul infrastructure. Additionally, UAVs are envisioned as an important component of 5G wireless technology and beyond. The unique application scenarios for UAVs necessitate accurate air-to-ground (AG) propagation channel models for designing and evaluating UAV communication links for control/non-payload as well as payload data transmissions. These AG propagation models have not been investigated in detail when compared to terrestrial propagation models. In this paper, a comprehensive survey is provided on available AG channel measurement campaigns, large and small scale fading channel models, their limitations, and future research directions for UAV communication scenarios

COMPARING INDEPENDENT COMPONENT ANALYSIS WITH PRINCIPLE COMPONENT ANALYSIS IN DETECTING ALTERATIONS OF PORPHYRY COPPER DEPOSIT (CASE STUDY: ARDESTAN AREA, CENTRAL IRAN)

The image processing techniques in transform domain are employed as analysis tools for enhancing the detection of mineral deposits. The process of decomposing the image into important components increases the probability of mineral extraction. In this study, the performance of Principal Component Analysis (PCA) and Independent Component Analysis (ICA) has been evaluated for the visible and near-infrared (VNIR) and Shortwave infrared (SWIR) subsystems of ASTER data. Ardestan is located in part of Central Iranian Volcanic Belt that hosts many well-known porphyry copper deposits. This research investigated the propylitic and argillic alteration zones and outer mineralogy zone in part of Ardestan region. The two mentioned approaches were applied to discriminate alteration zones from igneous bedrock using the major absorption of indicator minerals from alteration and mineralogy zones in spectral rang of ASTER bands. Specialized PC components (PC2, PC3 and PC6) were used to identify pyrite and argillic and propylitic zones that distinguish from igneous bedrock in RGB color composite image. Due to the eigenvalues, the components 2, 3 and 6 account for 4.26% ,0.9% and 0.09% of the total variance of the data for Ardestan scene, respectively. For the purpose of discriminating the alteration and mineralogy zones of porphyry copper deposit from bedrocks, those mentioned percentages of data in ICA independent components of IC2, IC3 and IC6 are more accurately separated than noisy bands of PCA. The results of ICA method conform to location of lithological units of Ardestan region, as well

Leucyl-tRNA synthetase is a tumour suppressor in breast cancer and regulates codon-dependent translation dynamics.

Tumourigenesis and cancer progression require enhanced global protein translation1-3. Such enhanced translation is caused by oncogenic and tumour-suppressive events that drive the synthesis and activity of translational machinery4,5. Here we report the surprising observation that leucyl-tRNA synthetase (LARS) becomes repressed during mammary cell transformation and in human breast cancer. Monoallelic genetic deletion of LARS in mouse mammary glands enhanced breast cancer tumour formation and proliferation. LARS repression reduced the abundance of select leucine tRNA isoacceptors, leading to impaired leucine codon-dependent translation of growth suppressive genes, including epithelial membrane protein 3 (EMP3) and gamma-glutamyltransferase 5 (GGT5). Our findings uncover a tumour-suppressive tRNA synthetase and reveal that dynamic repression of a specific tRNA synthetase-along with its downstream cognate tRNAs-elicits a downstream codon-biased translational gene network response that enhances breast tumour formation and growth

Critical currents and irreversibility lines in Tl-based high temperature superconductors

Various compounds (Tl-2223, Tl-1223, TI-2212) as well as material forms (single crystals, thin films, ceramics, tapes) of TI-based high temperature superconductors were investigated by magnetic and transport techniques. The Tl-2223 material has a very low lying irreversibility line (H||c) and negligible critical current densities Jc at 77 K. However, the irreversibility line is shifted to higher fields and temperatures, and Jc is strongly enhanced even at 77 K, after fast neutron irradiation. In contrast, the related Tl-1223 compound has a much steeper irreversibility line (H||c) similar to the one of Y-123. Jc is significant up to 77 K, even in the unirradiated state. Transport measurements made on Tl-1223 tapes still show much lower critical current densities. Tl-2212 and Tl-2223 thin films have Jc values at 77 K, which are comparable to those of the Tl-1223 single crystal.</p

Plasmonic and chiroplasmonic nanobiosensors based on gold nanoparticles

Development of optical nanobiosensors has emerged as one of the most important bioresearch areas of interest over the past decades especially in the modern innovations in the design and utilization of sensing platforms. The application of nanobiosensors has been accelerated with the introduction of plasmonic NPs, which overcome the most of the limitations in the case of conventional optical nanobiosensors. Since the plasmonic AuNPs-based nanobiosensors provide high potential achievements to develop promising platforms in fully integrated multiplex assays, some well-developed investigations are clearly required to improve the current technologies and integration of multiple signal inputs. Therefore, in this literature, we summarized the performance and achievements of optical nanobiosensors according to plasmonic rules of AuNPs, including SPR, LSPR, SERS and chiroptical phenomena. Also, we investigated the effects of the physicochemical properties of AuNPs such as size, shape, composition, and assembly on the plasmonic signal propagation in AuNPs-based nanobiosensors. Moreover, we presented an overview on the current state of plasmonic AuNPs-based nanobiosensors in the biomedical activities. Besides, this paper looks at the current and future challenges and opportunities of ongoing efforts to achieve the potential applications of AuNPs-based optical plasmonic nanobiosensors in integration with other nanomaterials. Taken together, the main focus of this paper is to provide some applicable information to develop current methodologies in fabrication of potential AuNPs-based nanobiosensors for detection of a wide range of analytes.Scopu