5,353 research outputs found
Importance of conduction electron correlation in a Kondo lattice, Ce2CoSi3
Kondo systems are usually described by the interaction of strong correlation
induced local moment with the highly itinerant conduction electrons. Here, we
study the role of electron correlations among conduction electrons in the
electronic structure of a Kondo lattice compound, CeCoSi, using high
resolution photoemission spectroscopy and {\it ab initio} band structure
calculations, where Co 3 electrons contribute in the conduction band. High
energy resolution employed in the measurements helped to reveal signature of Ce
4 states derived Kondo resonance feature at the Fermi level and dominance of
Co 3 contributions at higher binding energies in the conduction band. The
line shape of the experimental Co 3 band is found to be significantly
different from that obtained from the band structure calculations within the
local density approximations, LDA. Consideration of electron-electron Coulomb
repulsion, among Co 3 electrons within the LDA+ method leads to a
better representation of experimental results. Signature of electron
correlation induced satellite feature is also observed in the Co 2 core
level spectrum. These results clearly demonstrate the importance of the
electron correlation among conduction electrons in deriving the microscopic
description of such Kondo systems.Comment: 6 figure
Endophytic Mycoflora of Indian Medicinal Plant, Terminalia arjuna and their Biological Activities
Studies were undertaken to isolate, identify and evaluate the biological activities of endophytic mycoflora of Indian medicinal plant, Terminalia arjuna. A total of 20 isolates of endophytic fungi were obtained from the leaves, twigs and bark tissues of the Terminalia arjuna. Out of 20, six isolates exhibited promising antibacterial, antifungal and anti-inflammatory activities when cultivated at shake flask level. The selected isolates were identified on the basis of morphology and ITS gene sequencing. Three isolates, designated as TA BA 1, TA L1 and TA L2 were identified as Aspergillus flavus whereas; the remaining three endophytic fungi were identified as Diaporthe arengae (TA TW2), Alternaria Sp. (TA TW1) and Lasiodiplodia theobromae (TA BA2). Aspergillus flavus was found as the predominant endophyte in leaves and bark tissues of the plant. The crude extract of the test isolates showed considerable antimicrobial activity against common human bacterial (Staphylococcus aureus, Escherichia coli, Pseudomonas aeruginosa, Proteus vulgaris, Salmonella abony and Bacillus subtilis) and fungal (Candida albicans, Aspergillus niger and Penicilium sp.) pathogens. The extract of Diaporthe arengae (TA TW2) significantly reduced the concentration of DPPH free radical as percent DPPH scavenging activity was found to be highest (69.56%) in comparison with other isolates. The % inhibition of hemolysis of RBCs was found to be highest (82.85%) with Diaporthe arengae (TA TW2) in comparison (83.26%) with standard drug (Ibuprofen). Among all, the extract of the Diaporthe arengae (TA TW2) showed excellent biological activities and hence was subjected to further characterization. The phytochemical investigation of the extract revealed the presence of terpenoids as the major phytoconstituents which was supported by TLC and UV spectroscopic studies. The results indicate that the isolated endophytes could be the valuable source of these bioactive molecules with diverse biological activities. The bioactivities may be attributed to the terpenoids present in the endophytic extract
Evolution of the Kondo resonance feature and its relationship to spin-orbit coupling across the quantum critical point in Ce2Rh{1-x}CoxSi3
We investigate the evolution of the electronic structure of Ce2Rh{1-x}CoxSi3
as a function of x employing high resolution photoemission spectroscopy. Co
substitution at the Rh sites in antiferromagnetic Ce2RhSi3 leads to a
transition from an antiferromagnetic system to a Kondo system, Ce2CoSi3 via the
Quantum Critical Point (QCP). High resolution photoemission spectra reveal
distinct signature of the Kondo resonance feature (KRF) and its spin orbit
split component (SOC) in the whole composition range indicating finite Kondo
temperature scale at the quantum critical point. We observe that the intensity
ratio of the Kondo resonance feature and its spin orbit split component,
KRF/SOC gradually increases with the decrease in temperature in the strong
hybridization limit. The scenario gets reversed if the Kondo temperature
becomes lower than the magnetic ordering temperature. While finite Kondo
temperature within the magnetically ordered phase indicates applicability of
the spin density wave picture at the approach to QCP, the dominant temperature
dependence of the spin-orbit coupled feature suggests importance of spin-orbit
interactions in this regime.Comment: 6 figure
A retrospective study to evaluate the pattern of spontaneously reported antiretroviral induced adverse drug reactions in a tertiary care hospital
Background: To evaluate the adverse effect profile of spontaneously reported cases of adverse drug reactions due to antiretroviral (ART) drugs in a tertiary care teaching hospital.Methods: A descriptive retrospective study of pattern of ART induced adverse drug reactions (ADRs) spontaneously reported to the Pharmacology department at a tertiary care hospital from January 2011 to December 2016. The details of suspected ADRs including drugs involved, treatment given for ADRs, and the outcome were also documented. These ADRs were analyzed for causality (WHO scale), severity (Hartwig et al. scale), seriousness (ICH E 2A guidelines), preventability (Schumock and Thornton scale) and type based on Edwards and Aronson classification system.Results: Of the 75 cases of ART induced ADRs, reactions were slightly more common in males (52%) and had median age and duration of ART as 36 years and 109 days respectively. Drug induced anemia was the most common presentation followed by cutaneous ADR and zidovudine being the commonest offender. Severity was moderate in 85.3% and causality was probable in 16% and possible in 84% cases. The type reaction was augmented type in 41.3% and not preventable in 76%.Conclusions: Zidovudine is the commonest drug implicated in causing anemia amongst the antiretrovirals. Spontaneous reporting method for antiretroviral pharmacovigilance is insufficient. Targeted spontaneous reporting or cohort event monitoring need to be studied for antiretroviral pharmacovigilance
Bacterial and clinical profile of diabetic foot ulcer using optimal culture techniques
Background: Diabetic foot ulcers (DFU) are the complications of diabetes mellitus. The diabetic foot ulcer infections are polymicrobial in nature. If they are not recognized and controlled it leads to many devastating consequences like limb amputation, sepsis, and even mortality. Hence, the present study was undertaken to determine the bacterial and clinical profile of diabetic foot ulcer using optimal culture techniques and the antimicrobial sensitivity pattern of the isolates.Methods: A total number of 103 patients with a foot ulcer of Wagner’s grade II or more and evidence of purulent exudates or edema were included in the study. Swab samples were obtained from the base of ulcers and were sent for bacteriological study. The specimen was processed in the microbiology laboratory for Gram stain, aerobic culture, and anaerobic culture. The organisms isolated were identified by standard procedures and antimicrobial susceptibility was done by Kirby-Bauer disc diffusion method.Results: A total no of 253 organisms were isolated from 103 patients. Out of these, 217 aerobes were isolated, and the most common organism isolated from gram positive bacteria was Staphylococcus aureus, 53 (24.42 %). Pseudomonas aeruginosa, 42 (19.35 %) was the predominant organism isolated from gram negative bacteria. Among the total 36 anaerobes, Bacteroides fragilis group, 17 (47.22 %) was the most common organism isolated. All the gram positive aerobic organisms were found to be sensitive for vancomycin. Among the gram negative organisms, E. coli, Proteus mirabilis, Proteus vulgaris, showed more sensitivity to cefotaxime (90.62%, 91.66%, 75%) respectively. Metronidazole was the drug of choice in case of anaerobes followed by imipenem.Conclusions: It is necessary to identify the etiological factors and susceptible microorganisms responsible for causation of DFU. So that prompt management of diabetic foot ulcers is possible for successful outcome. Appreciation of the causative organisms in diabetic foot and their antibiotic sensitivity is essential for institution of appropriate antibiotic therapy
The FASHION Visual Search using Deep Learning Approach
In recent years, the World Wide Web (WWW) has established itself as a popular source of information. Using an effective approach to investigate the vast amount of information available on the internet is essential if we are to make the most of the resources available. Visual data cannot be indexed using text-based indexing algorithms because it is significantly larger and more complex than text. Content-Based Image Retrieval, as a result, has gained widespread attention among the scientific community (CBIR). Input into a CBIR system that is dependent on visible features of the user\u27s input image at a low level is difficult for the user to formulate, especially when the system is reliant on visible features at a low level because it is difficult for the user to formulate. In addition, the system does not produce adequate results. To improve task performance, the CBIR system heavily relies on research into effective feature representations and appropriate similarity measures, both of which are currently being conducted. In particular, the semantic chasm that exists between low-level pixels in images and high-level semantics as interpreted by humans has been identified as the root cause of the issue. There are two potentially difficult issues that the e-commerce industry is currently dealing with, and the study at hand addresses them. First, handling manual labeling of products as well as second uploading product photographs to the platform for sale are two issues that merchants must contend with. Consequently, it does not appear in the search results as a result of misclassifications. Moreover, customers who don\u27t know the exact keywords but only have a general idea of what they want to buy may encounter a bottleneck when placing their orders. By allowing buyers to click on a picture of an object and search for related products without having to type anything in, an image-based search algorithm has the potential to unlock the full potential of e-commerce and allow it to reach its full potential. Inspired by the current success of deep learning methods for computer vision applications, we set out to test a cutting-edge deep learning method known as the Convolutional Neural Network (CNN) for investigating feature representations and similarity measures. We were motivated to do so by the current success of deep learning methods for computer vision applications (CV). According to the experimental results presented in this study, a deep machine learning approach can be used to address these issues effectively. In this study, a proposed Deep Fashion Convolution Neural Network (DFCNN) model that takes advantage of transfer learning features is used to classify fashion products and predict their performance. The experimental results for image-based search reveal improved performance for the performance parameters that were evaluated
- …