Separation of hematite from banded hematite jasper (BHJ) by magnetic coating

The separation of iron oxide from banded hematite jasper(BHJ) assaying 47.8% Fe, 25.6% Si O2 and 2.30%Al2O3 using selective magnetic coating was studied. Characterization studies of the low grade ore indicate that besides hematite and goethite,jasper, a microcrystalline form of quartzite, is the major impurity associated with this ore. Beneficiation by conventional magnetic separation technique could yield a magnetic concentrate containing 60.8% Fe with 51% Fe recovery. In order to enhance the recovery of the iron oxide minerals, fine magnetite, colloidal magnetite and oleate colloidal magnetite were used as the coating material. When subjected to magnetic separation, the coated ore produces an iron concentrate containing 60.2% Fe with an enhanced recovery of56%. The AFM studies indicate that the coagulation of hematite particles with the oleate colloidal magnetite facilitates the higher recovery of iron particles from the low grade BHJ iron ore under appropriate conditions.     

Augmentation of band gap and photoemission in ZnO by Li doping

The monovalent impurity Lithium is chosen to dope with Zinc oxide (ZnO) in four concentrations by auto-combustion route. The influence of Li on the structural and optical properties of ZnO are discussed. The Li incorporation happens both as substitution and interstitial doping with an increase of grain size and the optical band gap of ZnO. The optical phonon modes are identified from Raman spectra that also gives information about the stress in the samples. The UV and visible emission characteristics of the samples are found from the fluorescence spectra. The origin of the visible emission is explained by defect chemistry. When Li lodges Zn site new acceptor levels of Li are created that causes the yellow emission that is absent in undoped ZnO. Li interstitial creates Zn interstitials that are responsible for blue emission. The green emission is explained as the outcome of the transition between Zn_i and oxygen vacancies.     

Development of electronic materials from industrial waste red mud

The current research work presents the preparation and characterization of some new electronic materials using bismuth oxide (Bi₂O₃) and industrial waste red mud in different proportion by weight using a cost-effective mixed-oxide technique. Preliminary X-ray structural analysis exhibits the formation of compounds with structure analogous to that of BiFeO₃ compound along with some impurity phases. Studies of dielectric parameters (ε_r and tanδ) of these compounds as a function of temperature and frequency exhibit that they are almost temperature independent in the low temperature range and possess high relative permittivity with low loss in the high temperature range. Detailed studies of impedance and related parameters exhibit that the electrical properties of these materials are strongly dependent on temperature, and bear a good correlation with their microstructures. The bulk resistance, evaluated from complex impedance spectra, is found to be decreasing with rise in temperature, exhibiting a typical negative temperature co-efficient of resistance (NTCR)—type behavior similar to that of semiconductors. Studies of electric modulus indicate the presence of hopping conduction mechanism in the system with non-exponential type of conductivity relaxation. The low leakage current and NTCR behavior of the sample have been verified from I–V characteristics. The nature of variation of dc conductivity with temperature confirms the Arrhenius and NTCR behavior in the material. The ac conductivity spectra show a typical-signature of an ionic conducting system, and are found to obey Jonscher’s universal power law.     

Dictionary-based classifiers for exploiting feature sequence information and their application to hyperspectral remotely sensed data

The problem of classification is shared across various disciplines. Designing even less computationally demanding and more effective classifiers has been a key challenge for researchers for many years. No single classifier can be highly effective for all types of datasets and thus, depending on the data distribution, various classifiers have been proposed in the literature. To our knowledge, feature values have been vastly exploited as the base for discriminating classes, while feature sequence information has been somehow under-exploited so far. In the proposed approach normalised features are sorted and ranked, creating a sequence of finite numbers. The associated rank of the created sequence is used as an additional feature, which in a way defines the sample-specific intra-feature relationship. Three novel dictionary-based approaches such as Sequence Classifier (SC), Sequence-dictionary-based k-Nearest Neighbours Classifier (SDk-NN) and Combined-dictionary-based k-Nearest Neighbours Classifier (CDk-NN) are proposed in this paper.

In the case of remotely sensed data, and specifically in Hyper-Spectral Images (HSI), the spectral features (Spectral signatures) represent a strong, object-specific spectral relationship, which is a key point in our proposed approach. In this case, indeed, the proposed classifiers were tested over various (five) HS datasets and found to be effective. Based on the classifiers features, two derived distance measures are proposed and validated for the HS dataset, namely: the Normalised Sequence Distance (NSD) measure and Combined Distance (CD) measure. These measures appear to overperform the conventional Normalised Euclidean Distance (NED) in this context. Also, validation for both binary and multi-class datasets are experimented and their performances are evaluated in terms of accuracy and other standard measures. Experimental results over 21 datasets revealed that the proposed approaches perform comparably, and in some cases even better than other classifiers. Stack-operated, class-specific sparse dictionaries are also introduced in order to reduce the computational complexity, which can be used as an active learning-based approach for optimal training sample selection. Additional tests were performed with variable levels of dictionary sparsity for assessing its impact on accuracy.     

Role of Bismuth incorporation on the structural and optical properties in BixIn35-xSe65 thin films for photonic applications

The present paper investigated the influence of Bi concentration on the structural, linear, and non-linear optical properties of thermally evaporated Bi_xIn_35-xSe₆₅ (x = 0, 5, 7, 10, 15 at %) thin films. The structural analysis by the XRD measurements showed the crystalline nature at 7 and 15% Bi while the other concentrations showed amorphous nature. The corresponding bonding change was analyzed by Raman spectroscopy. The optical study by UV-Vis spectroscopy showed the decrease in transmittance and an increase in absorbance property. The linear optical parameters such as absorption coefficient, extinction coefficient, optical density increased while skin depth decreased with Bi additives. The direct, as well as the indirect optical bandgap, decreased along with the decrease in the Tauc parameter. The variation is well explained on the basis of density of defect states by the Mott and Davis model. The non-linear refractive index and non-linear susceptibility increased significantly with Bi % which is good for non-linear optical applications. The static linear refractive index as calculated by the Dimirov and Sakha empirical relation showed an incremental behavior with Bi% concentration and satisfied Moss's rule. The surface structure and elemental concentration were analyzed by FESEM and EDX analysis. The result of the above investigation suggests that these materials can be used as an absorbing layer for several optoelectronic and photonic applications.     

e-Science, caGrid, and Translational Biomedical Research

Translational research projects target a wide variety of diseases, test many different kinds of biomedical hypotheses, and employ a large assortment of experimental methodologies. Diverse data, complex execution environments, and demanding security and reliability requirements make the implementation of these projects extremely challenging and require novel e-Science technologies.     

Ferulic acid encapsulated chitosan‐tripolyphosphate nanoparticles attenuate quorum sensing regulated virulence and biofilm formation in Pseudomonas aeruginosa PAO1

Pseudomonas aeruginosa is an opportunistic nosocomial pathogenic microorganism causing majority of acute hospital‐acquired infections and poses a serious public health concern. The persistence of bacterial infection can be attributed to the highly synchronised cell‐to‐cell communication phenomenon, quorum sensing (QS) which regulates the expression of a number of virulence factors and biofilm formation which eventually imparts resistance to the conventional antimicrobial therapy. In this study, the anti‐quorum sensing and anti‐biofilm potential of ferulic acid encapsulated chitosan‐tripolyphosphate nanoparticles (FANPs) was investigated against P. aeruginosa PAO1 and compared with native ferulic acid. Dynamic light scattering and transmission electron microscopic analysis confirmed the synthesis of FANPs with mean diameter of 215.55 nm. FANPs showed significant anti‐quorum sensing activity by downregulating QS‐regulated virulence factors. In addition, FANPs also significantly attenuate the swimming and swarming motility of P. aeruginosa PAO1. The anti‐biofilm efficacy of FANPs as compared to native ferulic acid was established by light and confocal laser scanning microscopic analysis. The promising results of FANPs in attenuating QS highlighted the slow and sustained release of ferulic acid at the target sites with greater efficacy suggesting its application towards the development of anti‐infective agents.Inspec keywords: microorganisms, nanofabrication, nanoparticles, nanomedicine, light scattering, cellular biophysics, drugs, antibacterial activity, drug delivery systems, filled polymers, materials preparationOther keywords: size 215.55 nm, ferulic acid encapsulated chitosan‐tripolyphosphate nanoparticles, dynamic light scattering, QS‐regulated virulence factors, cell‐to‐cell communication phenomenon, nosocomial pathogenic microorganism, anti‐quorum sensing activity, Pseudomonas aeruginosa PAO1, anti‐infective agents, confocal laser scanning microscopic analysis, anti‐biofilm efficacy, transmission electron microscopic analysis, native ferulic acid, FANPs, anti‐biofilm potential, conventional antimicrobial therapy, bacterial infection, acute hospital‐acquired infections, biofilm formation