ANTIFUNGAL ACTIVITY OF ACTINOBACTERIA WITH A POTENTIAL TO INHIBIT RICE BLAST FUNGUS MAGNAPORTHE ORYZAE (ANAMORPH PYRICULARIA ORYZAE)

Objective: The aims of the present study were to screen the actinobacteria with high potential ability to produce secondary metabolites that have inhibitory activity against plant pathogenic fungi, Magnaporthe oryzae. Production of secondary metabolites was analysis by thin-layer chromatography and bioautography assay. Methods: Screening and selection of potential Streptomyces sp. morphological, cultural, physiological, and biochemical characterization of the screened isolate was carried out. Antifungal compound was confirmed by bioautography assay. Results: Bioautography method use in this study was found to be antifungal fraction from the crude extract. Antifungal secondary metabolites can be readily located on the plates by observing clear zones where active compounds inhibit fungal growth. Conclusion: The bioautography assay shows that this isolates can produce antifungal compound. Therefore, this isolate proves to be a promising microbe which can be further studied for its applications a biocontrol agent against rice blast fungi

Passive immunotherapy against Aβ in aged APP-transgenic mice reverses cognitive deficits and depletes parenchymal amyloid deposits in spite of increased vascular amyloid and microhemorrhage

BACKGROUND: Anti-Aβ immunotherapy in transgenic mice reduces both diffuse and compact amyloid deposits, improves memory function and clears early-stage phospho-tau aggregates. As most Alzheimer disease cases occur well past midlife, the current study examined adoptive transfer of anti-Aβ antibodies to 19- and 23-month old APP-transgenic mice. METHODS: We investigated the effects of weekly anti-Aβ antibody treatment on radial-arm water-maze performance, parenchymal and vascular amyloid loads, and the presence of microhemorrhage in the brain. 19-month-old mice were treated for 1, 2 or 3 months while 23-month-old mice were treated for 5 months. Only the 23-month-old mice were subject to radial-arm water-maze testing. RESULTS: After 3 months of weekly injections, this passive immunization protocol completely reversed learning and memory deficits in these mice, a benefit that was undiminished after 5 months of treatment. Dramatic reductions of diffuse Aβ immunostaining and parenchymal Congophilic amyloid deposits were observed after five months, indicating that even well-established amyloid deposits are susceptible to immunotherapy. However, cerebral amyloid angiopathy increased substantially with immunotherapy, and some deposits were associated with microhemorrhage. Reanalysis of results collected from an earlier time-course study demonstrated that these increases in vascular deposits were dependent on the duration of immunotherapy. CONCLUSIONS: The cognitive benefits of passive immunotherapy persist in spite of the presence of vascular amyloid and small hemorrhages. These data suggest that clinical trials evaluating such treatments will require precautions to minimize potential adverse events associated with microhemorrhage

Synthesis and Spectral Studies on Cardanol Based Polyurethanes

Cardanol is a renewable organic resource obtained as a byproduct from the cashew industry. The present study has been carried out with an aim to manufacture rigid polyurethanes from natural and eco – friendly sources due to the rising prices of petrochemicals and also as an environmental concern. Vegetable oil based polyurethanes promising a new generation polymers which are low cost materials in the family of polyurethanes. Cardanol based phenolic resin has been synthesized by condensing cardanol with furfural in a particular mole ratio using phthalic acid as catalyst. The progress of the reaction was monitored by determining the free furfural and free phenol content. The resin was cured by using the curing agent 4, 41 - methylene bis(cyclohexyl isocyanate) and the catalyst dibutyltin dilaurate to produce polyurethane. Polyurethanes are an important class of polymers that have found place in many applications. The physico chemical and spectral properties of resin and polyurethane have also been studied

Primary retroperitoneal mucinous cystadenocarcinoma: a rare surgico-pathological entity

Ovarian cancer (OC) is the seventh most common cancer for females in the world. Epithelial OC is the most predominant pathologic subtype (85%-90%), with five major histotypes- serous, mucinous, endometrioid, brenner and clear cell tumour. Each have three pathological subtypes ie benign, borderline and malignant. Mucinous cystadenomas and carcinomas of the ovary are well-established and common tumors. Primary retroperitoneal mucinous cystadenomas and carcinomas are being very rare and histopathogenesis of which is still uncertain. Most pathologists suggest their origin through mucinous metaplasia in a pre-existing mesothelium-lined cyst. An accurate preoperative diagnosis of these tumors is challenging due to lack of established effective diagnostic measures. Hereby presenting a 50-year-old woman, who visited to the hospital with abdominal distension and discomfort since two months. Sonography and computed tomography scans were performed and showed large predominantly cystic lesion arising from right adnexa. Patient underwent exploratory laparotomy for removal of the tumor. Histology and immunohistochemistry revealed primary retroperitoneal mucinous cystadenocarcinoma

Efficient Circuit Configuration to Reduce Comparator Requirement of 8-Bit Flash Analog to Digital Convertor

Need constantly exists for converters with higher resolution, faster conversion speed and lower power dissipation. High-speed analog to digital converters (ADC’s) have been based on flash architecture, because all comparators sample the analog input voltage simultaneously, this ADC is thus inherently fast. Unfortunately, flash ADC requires 2N - 1 comparators to convert N bit digital code from an analog sample. This makes flash ADC’s unsuitable for high-resolution applications. This paper demonstrates a simple technique to reduce comparator requirement of 8-bit flash ADC that requires as few as 65 comparators for 8-bit conversion. In this approach, the analog input range is partitioned into 64 quantization cells, separated by 63 boundary points. A 6-bit binary code 000000 to 111111 is assigned to each cell. A 8-bit flash converter requires 256 comparators, while proposed technique reduces number of comparator requirements to 65 for 8-bit conversion. DOI: 10.17762/ijritcc2321-8169.150711

Effective One-Dimensional Coupling in the Highly-Frustrated Square-Lattice Itinerant Magnet CaCo2−y_{\mathrm{2}-y}As2_{2}

Inelastic neutron scattering measurements on the itinerant antiferromagnet (AFM) CaCo$_{\mathrm{2}-y}$As$_{2}$ at a temperature of 8 K reveal two orthogonal planes of scattering perpendicular to the Co square lattice in reciprocal space, demonstrating the presence of effective one-dimensional spin interactions. These results are shown to arise from near-perfect bond frustration within the $J_1$-$J_2$ Heisenberg model on a square lattice with ferromagnetic $J_1$, and hence indicate that the extensive previous experimental and theoretical study of the $J_1$-$J_2$ Heisenberg model on local-moment square spin lattices should be expanded to include itinerant spin systems

Compressed Sensing Based Computed Tomography Image Reconstruction

In computed tomography (CT), an important objective is to reduce radiation dose without degrading image quality. The radiation exposure from CT scan will make severe problem in humans. This has high risk in the case of children and female. The higher exposure will lead to leukemia, cancer etc. So that low dose CT image reconstruction is the main concern now days. We have to reconstruct the image which gives better image quality from limited number of projection. Compressed sensing enables the radiation dose to be reduced by producing diagnostic images from a limited no of projections. According to compressed sensing theory the signal or image  can be reconstructed from the fewer samples and the sparse representation is the main objective behind it. The images are not sparse in nature, so some sparsifying transform is used for make the image to sparse. The object to be reconstructed scanned under sensors and several forward projections are takes place. In low dose CT we consider only smaller number of projections. From these projections the images are reconstructed. The CT image reconstruction is an ill-posed problem. That means solving underdetermined system of equations. This system solve the reconstruction problem using compressed sensing. This system chooses the noiselet as measurement matrix and haar wavelet as representation basis. The incoherence between measurement matrix and the representation basis is the one main property of compressive sensing. This incoherence will make the image reconstruction

Flexible modified plastic strips coated polyaniline/graphene composite for electrochemical biosensors

616-624Polyaniline(PANI)/graphene modified flexible, disposable polyester overhead projector (OHP) strips for non-enzymatic detection of ascorbic acid (AA) and uric acid (UA) is demonstrated in the current work. The deposition of PANI on the 3-aminopropyltrimethoxy silane (APTMS) modified OHP have been optimized through electrochemical impedance spectroscopy. Graphene is coated on another end. The PANI/graphene coating is confirmed through scanning electron microscopy. UA and AA detection have been carried out using the standard electrochemical techniques like cyclic voltammetry and chronoamperometry. The study reveals that the composite of PANI/graphene exhibits good sensing towards the detection of UA and AA. During the detection of UA and AA, PANI/graphene has showed enhanced current density with quick response and a linear concentration range of 10 to 300 μM for UA and 30 to 80 μM for AA. These flexible sensor strips may be of great potential in real-time UA and AA detection

Enhanced Approximated SURF Model For Object Recognition

ABSTRACT Computer vision applications like camera calibration, 3D reconstruction, and object recognition and image registration are becoming widely popular now a day. In this paper an enhanced model for speeded up robust features (SURF) is proposed by which the object recognition process will become three times faster than common SURF model The main idea is to use efficient data structures for both, the detector and the descriptor. The detection of interest regions is considerably speed-up by using an integral image for scale space computation. The descriptor which is based on orientation histograms is accelerated by the use of an integral orientation histogram. We present an analysis of the computational costs comparing both parts of our approach to the conventional method. Extensive experiments show a speed-up by a factor of eight while the matching and repeatability performance is decreased only slightly