A handy and economic tool is needed for detection of water borne bacteria, the most prevalent pathogenic contaminant. For this purpose molecular beacon (MB) based biosensor, being highly specific, ...sensitive and functional without target labeling, can serve as an excellent detection tool for water quality analysis. A computational approach using MUMmer, Oligo, RNA structure as tools has been employed to identify suitable probes for designing MB for ten major water contaminating bacteria prevalent in Allahabad (Uttar Pradesh, India) region. In the present work conserved DNA regions and genes which are common in these bacterial species were taken as target regions for designing molecular beacons which were further screened on the basis of their folding stability and melting temperature range. Suggested probes can be synthesized and directly used as highly specific biological elements in biosensor designing. Such rationale designing of Biosensors can reduce detection cost and speed up more sensitive diagnostic strategies.
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EMUNI, FIS, FZAB, GEOZS, GIS, IJS, IMTLJ, KILJ, KISLJ, MFDPS, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, SBMB, SBNM, UKNU, UL, UM, UPUK, VKSCE, ZAGLJ
42.
The Khan Proliferation Network SINGH, NITYA
World affairs (New Delhi, India : 1997),
12/2009, Volume:
13, Issue:
4
Journal Article
In recent years, one of the most significant threats to Asian security and the nuclear non-proliferation regime has come from the nuclear smuggling network led and operated by the Pakistani scientist ...Abdul Qadeer Khan. This network was responsible for providing atomic weapons designs and materials to states such as Iran and North Korea. This article analyses the causes and consequences of the “Khan Proliferation Network”. The findings show that the factors responsible for the existence of this smuggling ring did not result from the failures of Western intelligence agencies but rather from a combination of the security environment that existed in Asia and the broader requirements of American foreign policy with respect to its “grand strategy” in Asia.
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Historically the United States has used economic sanctions as a foreign policy tool to punish states that do not meet international norms. Although this approach has not been very successful, yet it ...continues to be the cornerstone of US foreign policy. Therefore, this article adopts a comparative case study methodology to understand why US economic sanctions failed in the case of India, and whether there is any possibility of them achieving their proposed objectives against North Korea. During the course of this study, it was observed that at the time of the imposition of the economic sanctions, India's political ideology and the insular nature of its economy played a very important role in the failure of these sanctions. An analysis of the case of North Korea further highlights the existence of similar variables, enabling North Korea to maintain its regime and effectively negate the impact of these economic sanctions.
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ABSTRACT
Temporomandibular joint ankylosis which is most frequently caused by trauma, presents with restriction in mouth opening in early stages and if children are the victim and not treated early, ...it presents with growth retardation of the involved mandibular side. Various methods are available for surgical correction. We have reviewed our experience with the efficacy of different interpositional materials in post-traumatic cases in our set up with special reference to temporal fascia over last three years. Twenty seven patients with history of trauma, mostly fall from height, have been studied. They were evaluated clinically and by computed tomography (CT) scan, orthopantogram and x- ray lateral oblique view. The most common age group was 10-15 years with mean 12.5 years and male to female ratio 1:2. Preoperative mouth opening (inter incisor distance) was 1-2 mm in 17 cases and 2-4 mm in 10 cases. We have used temporalis fascia in nine, costochondral graft in seven, silastic sheets in five and T-plates in six cases. Post-operatively, adequate mouth opening of 30-50 mm was observed in six months follow-up and more than 50 mm at one year follow up in 21 cases out of which nine cases have interpositional material as temporalis fascia alone. The postoperative period was uneventful in all cases and none required re-operation for recurrences. We conclude that interpositional arthroplasty, especially with pedicled temporal fascia, is the best method to prevent recurrences and establish good mouth opening and full range of jaw movements.
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DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, UILJ, UKNU, UL, UM, UPUK
Supply Chain Risk Management is an area that is drawing increasing attention from both academics and practitioners alike. A review of the literature however, suggests that although there has been ...academic discussion on the topic of Supply Chain Risk Management (SCRM), they have primarily been conceptual in nature. There is a scarcity of scholarly works that empirically identifies how Supply Chain risk drivers impact firm resilience to supply chain disruptions. Using theoretical perspectives such as Resource Based View, Knowledge Based View, Dynamic Theory and Contingency theory, the dissertation develops an understanding of how Supply Chain Risk drivers impact firm practices, and furthermore, the role played by these practices in promoting supply chain risk management capabilities. Finally, the dissertation evaluates the impact of these strategic capabilities in terms of their financial, operational and corporate reputation outcomes. Using survey research and case studies of manufacturing and logistics sector, the dissertation develops an understanding of how, firms using supply chain risk management capabilities can develop risk resilience and sustainable competitive advantage.
This article analyses the rationale behind a state’s desire to develop nuclear weapons capability. Using a combination of theories from the field of Management (brand management and equity) and ...Comparative Politics (a path-dependant historical institutional approach), variables are identified and a domestic model of a state’s desire to achieve nuclear weapons capability developed. Finally, these variables are operationalised by using Iran as a case study to evaluate and support this theory.
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Screening of " drug-like" molecule from the molecular database produced through high throughput techniques and their large repositories requires robust classification. In our work, a set of ...heuristically chosen nine molecular descriptors including four from Lipinski's rule, were used as classification parameter for screening "drug-like" molecules. The robustness of classification was compared with four fundamental descriptors of Lipinski. Back propagation neural network based classifier was applied on a database of 60000 molecules for classification of, " drug-like" and "non drug-like" molecules. Classification result using nine descriptors showed high classification accuracy of 96.1% in comparison to that using four Lipinski's descriptors which yielded an accuracy of 82.48%. Also a significant decrease of false positives resulted while using nine descriptors causing a sharp 18% increase of specificity of classification. From this study it appeared that Lipinski's descriptors which mainly deal with pharmacokinetic properties of molecules form the basis for identification of "drug-like" molecules that can be substantially improved by adding more descriptors representing pharmaco-dynamics properties of molecules.
A stroke is a medical condition in which the blood vessels in the brain gets damaged according to the WHO. It is also one of the most significant causes of death. Brain stroke can be prevented, if ...necessary, measures are taken by the individuals who are at the higher probability of suffering from it. In this work, a method has been proposed using quantum enhanced support vector machine for brain stroke prediction. This prediction is done based on the medical history and the physical attributes of a body. A model built which predict if a patient will suffer from brain stroke or not. In this work, quantum enhanced support vector machine algorithms are also compared against the traditional SVM algorithms.
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