292 research outputs found
Studies on deep fat frying of potato chips
No full textThis Dissertation / Report is the outcome of investigation carried out by the creator(s) / author(s) at the department/division of Central Food Technological Research Institute (CFTRI), Mysore mentioned below in this page
Detailed optical and near-infrared polarimetry, spectroscopy and broad-band photometry of the afterglow of GRB 091018 : polarization evolution
No full textFollow-up observations of large numbers of gamma-ray burst (GRB) afterglows, facilitated by the Swift satellite, have produced a large sample of spectral energy distributions and light curves, from which their basic micro- and macro-physical parameters can in principle be derived. However, a number of phenomena have been observed that defy explanation by simple versions of the standard fireball model, leading to a variety of new models. Polarimetry can be a major independent diagnostic of afterglow physics, probing the magnetic field properties and internal structure of the GRB jets. In this paper we present the first high-quality multi-night polarimetric light curve of a Swift GRB afterglow, aimed at providing a well-calibrated data set of a typical afterglow to serve as a benchmark system for modelling afterglow polarization behaviour. In particular, our data set of the afterglow of GRB 091018 (at redshift z = 0.971) comprises optical linear polarimetry (R band, 0.13-2.3d after burst); circular polarimetry (R band) and near-infrared linear polarimetry (Ks band). We add to that high-quality optical and near-infrared broad-band light curves and spectral energy distributions as well as afterglow spectroscopy. The linear polarization varies between 0 and 3per cent, with both long and short time-scale variability visible. We find an achromatic break in the afterglow light curve, which corresponds to features in the polarimetric curve. We find that the data can be reproduced by jet break models only if an additional polarized component of unknown nature is present in the polarimetric curve. We probe the ordered magnetic field component in the afterglow through our deep circular polarimetry, finding P circ < 0.15per cent (2σ), the deepest limit yet for a GRB afterglow, suggesting ordered fields are weak, if at all present. Our simultaneous R- and Ks-band polarimetry shows that dust-induced polarization in the host galaxy is likely negligible
Phytochemistry and medicinal uses of the bael fruit (Aegle marmelos Correa): A concise review
No full text
Autonomic management of data streaming and in-transit processing for data intensive scientific workflows
No full textHigh-performance computing is playing an important role in science and engineering and is enabling highly accurate simulations, which provide insights into complex physical phenomena. A key challenge is managing the enormous data volumes and high data rates associated with these applications, so as to have minimal impact on the execution of the simulations. Furthermore these applications are based on seamless interactions and coupling between multiple and potentially distributed computational, data and information services. This requires addressing the natural mismatches in the ways data is represented in different workflow components and on a variety of machines, and being able to "outsource" the required data manipulation and transformation operations to less expensive commodity resources "in-transit". Satisfying these requirements is challenging, especially in large-scale and highly dynamic in-transit environments with shared computing and communication resources, resource heterogeneity in terms of capability, capacity, and costs, and where application behaviors, needs, and performance are highly variable.
In this research we address these requirements by developing a data streaming and in-transit data manipulation framework that provides mechanisms as well as the management strategies for large scale and wide-area data intensive scientific and engineering workflows. The main objectives of this research are: (1) developing an end-to-end QoS management framework for data intensive applications so that it is able to provide robust underlying support for asynchronous, high-throughput, low-latency data streaming, and (2) effectively and opportunistically utilize resources in-transit for data processing, to match data mismatches between application entities executing in scientific workflows.
In this thesis, we address problem at two levels, the first or application level deals with satisfying QoS goals at the end points. Specifically, it ensures that the data is delivered in a timely manner, with no loss at the source or destination, and with minimal storage requirements at the end-points. The solution couples model-based limited look-ahead controllers (LLC) with rule-based managers to satisfy data streaming requirements under various operating conditions. The second or in-transit level focuses on scheduling in-transit computations and data transfer in an opportunistic manner on the in-transit overlay resources taking into account the higher level QoS goals of the source and the sink. Additionally the in-transit level management is coupled with the application level management at end points to manage QoS of grid workflows.
This research is driven by the requirements of the Fusion Simulation Project (FSP), which forms the basis of a predictive plasma edge simulation capability to support next-generation burning plasma experiments such as the International Thermonuclear Experimental Reactor (ITER). These scientific workflows require in-transit data manipulation and streaming in a wide area environment. The self-managing data streaming service developed using this approach for the FSP workflow minimizes streaming overheads on the executing simulation to about 2% of the simulation execution time, reduces buffer occupancy at the source and thus prevents data loss. Additionally experiments with self-managing data streaming and in-transit processing demonstrates that adaptive processing using this service during network congestions decreases average idle time per data block from 25% to 1%, thereby increasing utilization at critical times. Furthermore, coupling end-point and in-transit level management during congestion reduces average buffer occupancy at in-transit nodes from 80% to 60.8%, thereby reducing load and potential data loss.Ph.D.Includes bibliographical references (p. 136-143)
Bajji on the Beach: Middle-Class Food Practices in Chennai’s New Beach
No full textThis book produced by a group of interdisciplinary and international researchers working on a wide variety of cities throughout Asia, Latin America and Europe, addresses, rethinks and, in some cases, abandons the notions of formal and ..
On Pseudo-valuation rings and their extensions
No full textLet R be a commutative Noetherian Q-algebra (Q
is the field of rational numbers). Let σ be an automorphism of R and δ a σ-derivation of R. We define a δ-divided ring and prove the following:
(1)If R is a pseudo-valuation ring such that x∉P for any prime ideal P of R[x;σ,δ], and P∩R is a prime ideal of R with σ(P∩R)=P∩R and δ(P∩R)⊆P∩R, then R[x;σ,δ] is also a pseudo-valuation ring.
(2)If R is a δ-divided ring such that x∉P for any prime ideal P of R[x;σ,δ], and P∩R is a prime ideal of R with σ(P∩R)=P∩R and δ(P∩R)⊆P∩R, then R[x;σ,δ] is also a δ-divided ring.The author would like to express his sincere thanks to the referee for his suggestion
On Pseudo-valuation rings and their extensions
No full textLet R be a commutative Noetherian Q-algebra (Q
is the field of rational numbers). Let σ be an automorphism of R and δ a σ-derivation of R. We define a δ-divided ring and prove the following:
(1)If R is a pseudo-valuation ring such that x∉P for any prime ideal P of R[x;σ,δ], and P∩R is a prime ideal of R with σ(P∩R)=P∩R and δ(P∩R)⊆P∩R, then R[x;σ,δ] is also a pseudo-valuation ring.
(2)If R is a δ-divided ring such that x∉P for any prime ideal P of R[x;σ,δ], and P∩R is a prime ideal of R with σ(P∩R)=P∩R and δ(P∩R)⊆P∩R, then R[x;σ,δ] is also a δ-divided ring.The author would like to express his sincere thanks to the referee for his suggestion
On Pseudo-valuation rings and their extensions
No full textLet R be a commutative Noetherian Q-algebra (Q
is the field of rational numbers). Let σ be an automorphism of R and δ a σ-derivation of R. We define a δ-divided ring and prove the following:
(1)If R is a pseudo-valuation ring such that x∉P for any prime ideal P of R[x;σ,δ], and P∩R is a prime ideal of R with σ(P∩R)=P∩R and δ(P∩R)⊆P∩R, then R[x;σ,δ] is also a pseudo-valuation ring.
(2)If R is a δ-divided ring such that x∉P for any prime ideal P of R[x;σ,δ], and P∩R is a prime ideal of R with σ(P∩R)=P∩R and δ(P∩R)⊆P∩R, then R[x;σ,δ] is also a δ-divided ring.The author would like to express his sincere thanks to the referee for his suggestion
Emvolio Instrument test reports and The ARRIVE guidelines 2.0 - Author checklist.pdf,
No full textThis also includes the details (1) test reports of Emvolio, as per the regulatory compliences (WHO/PQS/E003/TS01.1) and (2) Reports of Internal testing.
The file contains the ARRIVE2.0 Author Checklist for experiments carried out using rats.</p
- …
