5,324 research outputs found
The Role of Quantum Cryptography under Distributed Protocols for Secured Communication in Ad Hoc Networks
Most of the cryptographic methods employed so far has been using symmetric and asymmetric cryptography, and had involved cryptographic keys extensively. Usually it is observed that many of the cryptographic algorithms are infeasible as the key distribution system is feeble. As an emerging approach Ad Hoc networks is subjected to Quantum cryptography concept or quantum key distribution in distributed environment and has drawn a good attention as an appropriate solution to the Key Distribution issue. QKD extends unconditional secured inter-communication by means of quantum mechanics. The paper focuses on quantum theory as a substitute to conventional key distribution protocols and a comprehensive narration is offered illustrating implementations of quantum key distribution protocols. This paper depicts quantum key distribution protocols (QKDP) to preserve safety in large and Ad hoc networks, guiding towards novel direction. It is aimed to narrate the efficiency of communication in terms of effort, security, suitability and confidentiality by the use of QKDPs
Phytochemical study of Hydroalcoholic extract of Mansoa alliacea (Lam.) Leaf
Today’s era of science in which everyone is busy to get luxurious life style, here the people of India have not much knowledge about actual effect of this plant. Today normally Mansoa alliacea (Lam.) used in many part of the world, but this plant is also found in Chattishgarh in India. Lahsun Bel or Jangali Lahsun are a very important folk medicine in India. Mansoa alliacea (Lam.) is an important drug is not namely mentioned in the traditional medicinal texts. It is a very efficacious plant remedy for the pain and inflammatory conditions like arthritis and rheumatism as well as it also can be used in cold, flu and fever. Generally leaves are used in form of infusion or decoction. Roots are used in the preparation of cold maceration and tincture andgenerally taken as a whole body tonic. The plant has antibacterial,anti-cholesterolemic, antifungal, anti-inflammatory, antioxidant, anti-rheumatic, antispasmodic, antitussive and antiviral used traditionally. Whole part of Jangali Lahsun or Lahsun Bel are used for medicinal purpose. Pharmacognostic study or phytochemical investigation of these leaves has not been performed yet. The present work deals with the qualitative phytochemical evaluation of the leaf of Mansoa alliacea (Lam.) and establishment of its quality parameters
Performance and Improvement of Various Antennas in Modern Wireless Communication System
Today, the importance of wireless communication is known around the world. To achieve better communication, many techniques and methods have been introduced. Among these techniques, intelligent / adaptive antennas are a hot topic in the field of research. Smart antennas consist of several antenna arrays and are able to optimize the radiation and reception of dynamically desired signals. In order to avoid or mitigate interference, smart antennas may also introduce zero values towards the receivers by adaptively updating the weights associated with each antenna element. Smart antennas can also improve reception quality and reduce missed calls. The various existing surveys are also discussed to identify the research deficit for the scope of future research
Review of Fuel Management practices at various stages of nuclear fuel cycle in PHWRs in view of Environmental effects
Nuclear Power is emerging as a promising source of environmentally benign energy source alternate from both pollution free environment as well as solution to global warming because of minimal carbon footprint. However, release of radiation and radioactive contamination during fuel cycle operations comprising the optimum fuel utilization in Nuclear Reactors, still remains a challenge to contain the sources of radiation and contamination away from public domain. This review article envisages qualitatively the environmental effects w.r.t. radiation during flow of Natural Uranium fuel used in Indian Pressurized Heavy Water Reactors (IPHWRs) at various stages of mining, fabrication, transportation, operation in nuclear reactors, and storage after operation. The review has been completed by detailed compilation and study of the involved activities in the nuclear fuel cycle. Advanced modelling and computational analysis techniques are being employed at various stages, which form the basis for various administrative and technical measures to ensure minimal radiation exposure. It is concluded that organizations engaged in these activities are committed to minimum environmental impact and follow a safety culture in their system and among workers to ensure best administrative control in handling of radiation and radiation sources to limit exposure to public domain. In view of the limitations of LNT (Linear No Threshold) principle and the presence of radiation due to natural sources in the environment, it is desirable to revisit the provisions of ALARA principle (As low as reasonably achievable) as presently being followed in carrying out any activity related to radiation and radiation sources
A Review on Physical, Chemical and Optical Properties of Liquid Crystal
The foundation of the upcoming generation of cutting-edge gadgets and digitally augmented technologies is expected to be smart soft materials. Because of their responsiveness and adaptability, liquid crystals (LCs) are promising smart soft materials. In the 20th century, LCs were crucial to changing the information display sector. However, several beyond-display uses for LCs have been proven at the turn of the twentieth century, neatly using their controlled stimuli-responsive and adaptable properties. New LC materials have been developed and engineered for such applications. The review comes close with a summary and viewpoints on the potential and problems facing LCs as smart soft materials. This review is expected to inspire a wide range of concepts for the application of nature's delicate phase of matter in the generation and beyond of smart and augmented devices
Laboratory Evaluation of Dibenz (b,t)-1,4-0xazepine for the Protection of Nylon Tapes against Rodents Attack
The efficacy of dibenz (b,f)-1 ,4-oxazepine (CR), a potent sensory irritant and deltarnethrin a wellknown insecticide, in providing protection to the multi-element nylon tapes, used as aircraft arresters at airports have been evaluated. The results obtained indicate that 5 per cent CR-admixed UV resistant nylon tapes got adequate protection against attacks from wild type laboratory bred Rattus rattus for up to 160 days. CR treatment was found to be water wash resistant against 7, 30 and 60 days protectionoffered by 3, 4 and 5 per cent deltarnethrin, respectively
A frequentist framework of inductive reasoning
Reacting against the limitation of statistics to decision procedures, R. A.
Fisher proposed for inductive reasoning the use of the fiducial distribution, a
parameter-space distribution of epistemological probability transferred
directly from limiting relative frequencies rather than computed according to
the Bayes update rule. The proposal is developed as follows using the
confidence measure of a scalar parameter of interest. (With the restriction to
one-dimensional parameter space, a confidence measure is essentially a fiducial
probability distribution free of complications involving ancillary statistics.)
A betting game establishes a sense in which confidence measures are the only
reliable inferential probability distributions. The equality between the
probabilities encoded in a confidence measure and the coverage rates of the
corresponding confidence intervals ensures that the measure's rule for
assigning confidence levels to hypotheses is uniquely minimax in the game.
Although a confidence measure can be computed without any prior distribution,
previous knowledge can be incorporated into confidence-based reasoning. To
adjust a p-value or confidence interval for prior information, the confidence
measure from the observed data can be combined with one or more independent
confidence measures representing previous agent opinion. (The former confidence
measure may correspond to a posterior distribution with frequentist matching of
coverage probabilities.) The representation of subjective knowledge in terms of
confidence measures rather than prior probability distributions preserves
approximate frequentist validity.Comment: major revisio
Deep learning to detect optical coherence tomography-derived diabetic macular edema from retinal photographs: a multicenter validation study
PURPOSE: To validate the generalizability of a deep learning system (DLS) that detects diabetic macular edema (DME) from two-dimensional color fundus photography (CFP), where the reference standard for retinal thickness and fluid presence is derived from three-dimensional optical coherence tomography (OCT). DESIGN: Retrospective validation of a DLS across international datasets. PARTICIPANTS: Paired CFP and OCT of patients from diabetic retinopathy (DR) screening programs or retina clinics. The DLS was developed using datasets from Thailand, the United Kingdom (UK) and the United States and validated using 3,060 unique eyes from 1,582 patients across screening populations in Australia, India and Thailand. The DLS was separately validated in 698 eyes from 537 screened patients in the UK with mild DR and suspicion of DME based on CFP. METHODS: The DLS was trained using DME labels from OCT. Presence of DME was based on retinal thickening or intraretinal fluid. The DLS's performance was compared to expert grades of maculopathy and to a previous proof-of-concept version of the DLS. We further simulated integration of the current DLS into an algorithm trained to detect DR from CFPs. MAIN OUTCOME MEASURES: Superiority of specificity and non-inferiority of sensitivity of the DLS for the detection of center-involving DME, using device specific thresholds, compared to experts. RESULTS: Primary analysis in a combined dataset spanning Australia, India, and Thailand showed the DLS had 80% specificity and 81% sensitivity compared to expert graders who had 59% specificity and 70% sensitivity. Relative to human experts, the DLS had significantly higher specificity (p=0.008) and non-inferior sensitivity (p 50%) and a sensitivity of 100% (p=0.02 for sensitivity > 90%). CONCLUSIONS: The DLS can generalize to multiple international populations with an accuracy exceeding experts. The clinical value of this DLS to reduce false positive referrals, thus decreasing the burden on specialist eye care, warrants prospective evaluation
Understanding missed opportunities for more timely diagnosis of cancer in symptomatic patients after presentation.
The diagnosis of cancer is a complex, multi-step process. In this paper, we highlight factors involved in missed opportunities to diagnose cancer more promptly in symptomatic patients and discuss responsible mechanisms and potential strategies to shorten intervals from presentation to diagnosis. Missed opportunities are instances in which post-hoc judgement indicates that alternative decisions or actions could have led to more timely diagnosis. They can occur in any of the three phases of the diagnostic process (initial diagnostic assessment; diagnostic test performance and interpretation; and diagnostic follow-up and coordination) and can involve patient, doctor/care team, and health-care system factors, often in combination. In this perspective article, we consider epidemiological 'signals' suggestive of missed opportunities and draw on evidence from retrospective case reviews of cancer patient cohorts to summarise factors that contribute to missed opportunities. Multi-disciplinary research targeting such factors is important to shorten diagnostic intervals post presentation. Insights from the fields of organisational and cognitive psychology, human factors science and informatics can be extremely valuable in this emerging research agenda. We provide a conceptual foundation for the development of future interventions to minimise the occurrence of missed opportunities in cancer diagnosis, enriching current approaches that chiefly focus on clinical decision support or on widening access to investigations.We acknowledge the helpful and incisive comments by Dr Rikke Sand Andersen (Aarhus University, Denmark) in conceptualising this piece and in drafts of the manuscript. The work is independent research supported by different funding schemes. GL was supported by a Post-Doctoral Fellowship by the National Institute for Health Research (PDF-2011-04-047) until the end of 2014 and by a Cancer Research UK Clinician Scientist Fellowship award (A18180) from 2015. HS is supported by the VA Health Services Research and Development Service (CRE 12-033; Presidential Early Career Award for Scientists and Engineers USA 14-274), the VA National Center for Patient Safety, the Agency for Health Care Research and Quality (R01HS022087) and in part by the Houston VA HSR&D Center for Innovations in Quality, Effectiveness and Safety (CIN 13–413). PV was supported by CaP, funded by The Danish Cancer Society and the Novo Nordisk Foundation.This is the final version of the article. It first appeared at http://dx.doi.org/10.1038/bjc.2015.4
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