Evaluation of optical depth from MODIS satellite imagery in the Persian Gulf

Atmospheric dust particles originating in the arid and semi-arid regions of the world are known to be principal sources of mineral dust. The use of satellite remote sensing dust, the potential of this technique is created to provide valuable information to assist in the design of network measurement and estimation dust in marine environments. Dust deposited provides key nutrients such as iron to oceanic phytoplankton. Aerosol optical depth were reviewed in the study between March 2008 and December 2013 in the Persian Gulf. Aqua and Terra satellites for the MODIS sensor data as well as aerosol data (PM10) and Environmental stations and optical depth stations AERONET, used to evaluate the aerosol optical depth. The results showed that the data of MODIS AOD has acceptable accuracy and very high correlation between the values measured by MODIS and network AERONET, there (correlation coefficient: 90/0). Comparison between AOD values derived from measurements by satellites Aqua and Terra MODIS sensor and the amount of aerosol (PM10) estimated environmental stations in the Persian Gulf region also took place. The results showed that between these two values correlated to the Aqua and Terra satellites in the study area, and the correlation coefficient was greater in summer than winter. The results of this study showed that the optical depth data from the MODIS satellite images can provide accurate information dusts the Persian Gulf

Practical Low Data-Complexity Subspace-Trail Cryptanalysis of Round-Reduced PRINCE

Subspace trail cryptanalysis is a very recent new cryptanalysis technique, and includes differential, truncated differential, impossible differential, and integral attacks as special cases. In this paper, we consider PRINCE, a widely analyzed block cipher proposed in 2012. After the identification of a 2.5 rounds subspace trail of PRINCE, we present several (truncated differential) attacks up to 6 rounds of PRINCE. This includes a very practical attack with the lowest data complexity of only 8 plaintexts for 4 rounds, which co-won the final round of the PRINCE challenge in the 4-round chosen-plaintext category. The attacks have been verified using a C implementation. Of independent interest, we consider a variant of PRINCE in which ShiftRows and MixLayer operations are exchanged in position. In particular, our result shows that the position of ShiftRows and MixLayer operations influences the security of PRINCE. The same analysis applies to follow-up designs inspired by PRINCE

Synthetic and living micropropellers for convection-enhanced nanoparticle transport

Nanoparticles (NPs) have emerged as an advantageous drug delivery platform for the treatment of various ailments including cancer and cardiovascular and inflammatory diseases. However, their efficacy in shuttling materials to diseased tissue is hampered by a number of physiological barriers. One hurdle is transport out of the blood vessels, compounded by difficulties in subsequent penetration into the target tissue. Here, we report the use of two distinct micropropellers powered by rotating magnetic fields to increase diffusion-limited NP transport by enhancing local fluid convection. In the first approach, we used a single synthetic magnetic microrobot called an artificial bacterial flagellum (ABF), and in the second approach, we used swarms of magnetotactic bacteria (MTB) to create a directable “living ferrofluid” by exploiting ferrohydrodynamics. Both approaches enhance NP transport in a microfluidic model of blood extravasation and tissue penetration that consists of microchannels bordered by a collagen matrix.ISSN:2375-254

Renal clearable catalytic gold nanoclusters for in vivo disease monitoring

Ultra-small gold nanoclusters (AuNCs) have emerged as agile probes for in vivo imaging, as they exhibit exceptional tumour accumulation and efficient renal clearance properties. However, their intrinsic catalytic activity, which can enable increased detection sensitivity, has yet to be explored for in vivo sensing. By exploiting the peroxidase-mimicking activity of AuNCs and the precise nanometer size filtration of the kidney, we designed multifunctional protease nanosensors that respond to disease microenvironments to produce a direct colorimetric urinary readout of disease state in less than 1 h. We monitored the catalytic activity of AuNCs in collected urine of a mouse model of colorectal cancer where tumour-bearing mice showed a 13-fold increase in colorimetric signal compared to healthy mice. Nanosensors were eliminated completely through hepatic and renal excretion within 4 weeks after injection with no evidence of toxicity. We envision that this modular approach will enable rapid detection of a diverse range of diseases by exploiting their specific enzymatic signatures