Three-body radiation dynamics in systems with anisotropic nanoparticles

The time evolution of temperatures of anisotropic nanoparticles in two and three-body systems are simulated for various relative orientations. Nanoparticles are immersed in a thermal bath at constant temperature. It is shown that in two-body systems, the relative orientation of nanoparticles could drastically affect the dynamics of temperature evolution and thermalization time scale. Moreover, in some configurations, the temperature difference in initial state has a minor effect on the dynamics of temperatures. In three-body systems, the orientation of the third nanoparticle influences the temperature dynamics, which allows one to control the thermalization time scales between anisotropic nanoparticles. Also, in addition to previously known contribution of the smallest distance between isotropic nanoparticles on the thermalization time scales, it is shown that the nanoparticles' orientations are more important in some particular arrangements

Knowledge and attitudes toward brain death and organ donation in Bojnurd

دانش و نگرش مردم شهر بجنورد (خراسان شمالی) در باره مرگ مغزی و اهدای عض

BigFCM: Fast, Precise and Scalable FCM on Hadoop

Clustering plays an important role in mining big data both as a modeling technique and a preprocessing step in many data mining process implementations. Fuzzy clustering provides more flexibility than non-fuzzy methods by allowing each data record to belong to more than one cluster to some degree. However, a serious challenge in fuzzy clustering is the lack of scalability. Massive datasets in emerging fields such as geosciences, biology and networking do require parallel and distributed computations with high performance to solve real-world problems. Although some clustering methods are already improved to execute on big data platforms, but their execution time is highly increased for large datasets. In this paper, a scalable Fuzzy C-Means (FCM) clustering named BigFCM is proposed and designed for the Hadoop distributed data platform. Based on the map-reduce programming model, it exploits several mechanisms including an efficient caching design to achieve several orders of magnitude reduction in execution time. Extensive evaluation over multi-gigabyte datasets shows that BigFCM is scalable while it preserves the quality of clustering

Nanomolecular detection of human influenza virus type A using reverse transcription loop-mediated isothermal amplification assisted with rod-shaped gold nanoparticles

Reverse transcription loop-mediated isothermal amplification (RT-LAMP) and rod-shaped gold nanoparticles (gold nanorods; GNRs) were employed for nanomolecular detection of human influenza virus type A RNA. After cDNA synthesis from the RNA, the primers targeting the M protein gene were used for LAMP amplification. A blue shift from red to purple from the GNR inserting into the LAMP-DNAs can be seen by the naked eye. Transmission electron microscopy revealed the formation GNR aggregates due to their interactions with LAMP DNA. One pg RNA (10-3 dilution of the viral cDNA) was detected using this colorimetric test. The nanomolecular test showed 100% sensitivity and 95.8% specificity in comparison to results by RT-PCR. Also, the test indicated 100% sensitivity and 100% specificity in comparison to results by RT-LAMP. The described nanomolecular test could detect human influenza virus type A RNA in nearly 1 hour. This journal is © the Partner Organisations 2014