Biological Control of Sclerotium rolfsii, Causing Stem Rot of Groundnut by Pseudomonas cf. monteilii 9

In an attempt to develop effective biocontrol system for management of stem rot disease caused by Sclerotium rolfsii in groundnut, 11 Pseudomonas spp. isolated from rhizospheric soil, were evaluated for their antagonistic activity against Sclerotium rolfsii. A soil bacterium identified as, Pseudomonas cf. monteilii 9, showed highest antagonistic activity against Sclerotium rolfsii. In dual cultures, the Pseudomonas cf. monteilii 9 inhibited the Sclerotium rolfsii up to 94 % in terms of dry weight. Pseudomonas cf. monteilii 9 produced diffusible antibiotic, volatile metabolites, hydrogen cyanide and siderophore which affect Sclerotium rolfsii growth in vitro. This strain also produced a clear halo region on skim milk agar plates, indicating that it excretes protease which played vital role in inhibition of S. rolfsii. In pot assay for control of Sclerotium rolfsii, Pseudomonas cf. monteilii 9 treated seeds showed decrease in incidence of disease up to 45.45 to 66.67% in comparison to untreated seeds

Recovery of Ammonium Nitrate and Reusable Acetic Acid from Effluent Generated during HMX Production

Production of HMX on commercial scale is mainly carried out by modified Bachmann process, and acetic acid constitutes major portion of effluenttspent liquor produced during this process. The recovery of glacial acetic acid from this spent liquor is essential to make the process commercially viable besides making it eco-friendly by minimising the quantity of disposable effluent. The recovery of glacial acetic acid from spent liquor is not advisable by simple distillation since it contains, in addition to acetic acid, a small fraction of nitric acid, traces of RDX, HMX, and undesired nitro compounds. The process normally involves neutralising the spent mother liquor with liquor ammonia and then distillating the ueutralised mother liquor under vacuum to recover dilute acetic acid (strength approx. 30 %). The dilute acetic acid, in turn, is concentrated to glacial acetic acid by counter current solvent extraction, followed by distillation. The process is very lengthy and the energy requirement is also veryhigh, rendering the process economically unviable. Hence, a novel method has been developed on bench-scale to obtain glacial acetic acid directly from the mother liquor after the second ageing process

MIMO TECHNOLOGY FOR WIRELESS COMMUNICATION AND WIRELESS COMPUTER NETWORKING

The demand of wireless communication in the field of Wireless Computer networking and mobile phones(communications) is constantly growing and need the tether less connectivity. The major limitations to this growth is the disadvantages of traditional wireless communication System due to the limitations of available frequency resources, Bandwidth, channel capacity, complexity, reliability, transmission data rate and physical areas. This paper addresses the overview of new technology Multi-Input-Multi-Output (MIMO) for wireless Communication and Wireless Computer networking system will be much more efficient to meet the heavy demand of Wireless communication in available limited frequency resources. MIMO channel is frequency selective (multipath) and is known to boost channel capacity for high-data rate transmissions, low power implementation, sophisticated signal processing algorithm. The FPGA based coding techniques will reduce the size, complexity and increase the reliability of connectivity

Quantifying black carbon deposition over the Greenland ice sheet from forest fires in Canada

Black carbon (BC) concentrations observed in 22 snowpits sampled in the northwest sector of the Greenland ice sheet in April 2014 have allowed us to identify a strong and widespread BC aerosol deposition event, which was dated to have accumulated in the pits from two snow storms between 27 July and 2 August 2013. This event comprises a significant portion (57% on average across all pits) of total BC deposition over 10 months (July 2013 to April 2014). Here we link this deposition event to forest fires burning in Canada during summer 2013 using modeling and remote sensing tools. Aerosols were detected by both the Cloud‐Aerosol Lidar with Orthogonal Polarization (on board CALIPSO) and Moderate Resolution Imaging Spectroradiometer (Aqua) instruments during transport between Canada and Greenland. We use high‐resolution regional chemical transport modeling (WRF‐Chem) combined with high‐resolution fire emissions (FINNv1.5) to study aerosol emissions, transport, and deposition during this event. The model captures the timing of the BC deposition event and shows that fires in Canada were the main source of deposited BC. However, the model underpredicts BC deposition compared to measurements at all sites by a factor of 2–100. Underprediction of modeled BC deposition originates from uncertainties in fire emissions and model treatment of wet removal of aerosols. Improvements in model descriptions of precipitation scavenging and emissions from wildfires are needed to correctly predict deposition, which is critical for determining the climate impacts of aerosols that originate from fires

Two-body Photodisintegration of 3He Between 7 and 16 MeV

A comprehensive data set is reported for the two-body photodisintegration cross section of 3He using mono-energetic photon beams at eleven energies between 7.0 and 16.0 MeV. A 3He + Xe high-pressure gas scintillator served as target and detector. Although our data are in much better agreement with our state-of-the-art theoretical calculations than the majority of the previous data, these calculations underpredict the new data by about 10%. This disagreement suggests an incomplete understanding of the dynamics of the three-nucleon system and its response to electromagnetic probes

Potential of optimized NOvA for large theta(13) & combined performance with a LArTPC & T2K

NOvA experiment has reoptimized its event selection criteria in light of the recently measured moderately large value of theta(13). We study the improvement in the sensitivity to the neutrino mass hierarchy and to leptonic CP violation due to these new features. For favourable values of deltacp, NOvA sensitivity to mass hierarchy and leptonic CP violation is increased by 20%. Addition of 5 years of neutrino data from T2K to NOvA more than doubles the range of deltacp for which the leptonic CP violation can be discovered, compared to stand alone NOvA. But for unfavourable values of deltacp, the combination of NOvA and T2K are not enough to provide even a 90% C.L. hint of hierarchy discovery. Therefore, we further explore the improvement in the hierarchy and CP violation sensitivities due to the addition of a 10 kt liquid argon detector placed close to NOvA site. The capabilities of such a detector are equivalent to those of NOvA in all respects. We find that combined data from 10 kt liquid argon detector (3 years of nu + 3 years of nubar run), NOvA (6 years of nu + 6 years of nubar run) and T2K (5 years of nu run) can give a close to 2 sigma hint of hierarchy discovery for all values of deltacp. With this combined data, we can achieve CP violation discovery at 95% C.L. for roughly 60% values of deltacp.Comment: 22 pages, 24 pdf figures, 5 tables. In the appendix, new results are presented with conservative choices of central values of oscillation parameters. New references are added. Accepted in JHE

Resting state network mapping in individuals using deep learning

INTRODUCTION: Resting state functional MRI (RS-fMRI) is currently used in numerous clinical and research settings. The localization of resting state networks (RSNs) has been utilized in applications ranging from group analysis of neurodegenerative diseases to individual network mapping for pre-surgical planning of tumor resections. Reproducibility of these results has been shown to require a substantial amount of high-quality data, which is not often available in clinical or research settings. METHODS: In this work, we report voxelwise mapping of a standard set of RSNs using a novel deep 3D convolutional neural network (3DCNN). The 3DCNN was trained on publicly available functional MRI data acquired in RESULTS: Our results indicate this method can be applied in individual subjects and is highly resistant to both noisy data and fewer RS-fMRI time points than are typically acquired. Further, our results show core regions within each network that exhibit high average probability and low STD. DISCUSSION: The 3DCNN algorithm can generate individual RSN localization maps, which are necessary for clinical applications. The similarity between 3DCNN mapping results and task-based fMRI responses supports the association of specific functional tasks with RSNs

On the occurrence of an Euryplacid crab Eucrate crenata (De Haan, 1835), a first record from Odisha, India

1105-1107The occurrence of a brachyuran crab Eucrate crenata (De Haan, 1835) is reported from the coastal waters of Odisha, India. With uncertainties in the identity of the species recorded from the west coast, off Madras and Andaman and Nicobar Islands, the present communication is an endeavor in documenting and describing the first time occurrence of the species from Mahanadi estuary, Odisha indicative of its range extension from Korea and the Gulf of Thailand towards the east coast of India