Institution
University of Hyderabad
Education•Hyderabad, India•
About: University of Hyderabad is a education organization based out in Hyderabad, India. It is known for research contribution in the topics: Catalysis & Crystal structure. The organization has 6446 authors who have published 13005 publications receiving 237641 citations. The organization is also known as: Hyderabad Central University & HCU.
Topics: Catalysis, Crystal structure, Thin film, Laser, Hydrogen bond
Papers published on a yearly basis
Papers
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TL;DR: An ultrathin nonlinear optical (NLO) organic surface composed of numerous self-assembled frustum-shaped whispering-gallery-mode resonators displays both two-photon luminescence and second-harmonic-generation signals.
Abstract: An ultrathin nonlinear optical (NLO) organic surface composed of numerous self-assembled frustum-shaped whispering-gallery-mode resonators displays both two-photon luminescence and second-harmonic-generation signals. A super-second-order increase of the NLO intensity with respect to pump power confirms the microlasing action and practical usefulness of the NLO organic surfaces.
69 citations
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TL;DR: In this paper, the authors analyzed the effects of education on farm productivity in the case of modern and traditional varieties of paddy in Odisha, Eastern India using an endogenous switching regression model.
Abstract: This paper analyzes the effects of education on farm productivity in the case of growers of modern and traditional varieties of paddy in Odisha, Eastern India. Using an endogenous switching regression model, the study has found that a minimum threshold level of education is significantly influencing the adoption of modern varieties of paddy and thereby the farm productivity of adopters only. So, the study finds the evidence in support of Schultz hypothesis that says education enhances farm productivity in the case of adopters of modern technology. The study suggests that farmers’ field school program must be implemented along with a strong extension network in the study region for a wider dissemination modern technology.
69 citations
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TL;DR: Results provide proof-of-concept for DevR as a novel target to develop molecules with sterilizing activity against tubercle bacilli and suggest that compound 10 "locks" DevR in an inactive conformation that is unable to bind cognate DNA and induce the dormancy regulon.
Abstract: Antitubercular treatment is directed against actively replicating organisms. There is an urgent need to develop drugs targeting persistent subpopulations of Mycobacterium tuberculosis. The DevR response regulator is believed to play a key role in bacterial dormancy adaptation during hypoxia. We developed a homology-based model of DevR and used it for the rational design of inhibitors. A phenylcoumarin derivative (compound 10) identified by in silico pharmacophore-based screening of 2.5 million compounds employing protocols with some novel features including a water-based pharmacophore query, was characterized further. Compound 10 inhibited DevR binding to target DNA, down-regulated dormancy genes transcription, and drastically reduced survival of hypoxic but not nutrient-starved dormant bacteria or actively growing organ ` isms. Our findings suggest that compound 10 ``locks'' DevR in an inactive conformation that is unable to bind cognate DNA and induce the dormancy regulon. These results provide proof-of-concept for DevR as a novel target to develop molecules with sterilizing activity against tubercle bacilli.
69 citations
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TL;DR: In this article, a first-order polynomial model was developed and the following significant variables were determined viz., Karanja oil, sodium nitrate and pH, which yielded an average biosurfactant production of 5.90±2.1% at 48h, and 37°C temperature.
Abstract: Rhamnolipid biosurfactant production by a novel Pseudomonas aeruginosa strain KVD-HR42 was optimized with statistical approaches. The produced biosurfactant showed surface active properties with stable emulsification activities. Based on the results of Plackett–Burman design, first-order polynomial model was developed and the following significant variables were determined viz., Karanja oil, sodium nitrate and pH. Response surface methodology experimental design was performed by Box–Behnken design to study the concentration of each component. The response plots resulted in the following optimized conditions; Karanja oil (23.85 g/L) sodium nitrate (9.17 g/L) and pH (7.8) which yielded an average biosurfactant production of 5.90±2.1 g/L at 48 h, and 37 °C temperature. The statistical approach resulted in enhanced biosurfactant production. The biosurfactant showed excellent emulsion forming capabilities and could reduce the surface tension to 30.14 mN/m at a CMC value of 100 mg/L. The biosurfactant was found to be stable at extreme conditions of temperature, pH and NaCl concentrations. Additionally surface active nature of the crude biosurfactant was demonstrated using oil displacement assay with a clearance zone of 19.26±0.23 cm 2 . Our results signify that the biosurfactant has a great industrial potential as a cleansing agent at adverse environmental conditions and provide better alternative to synthetic surfactants.
69 citations
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TL;DR: This poster presents a probabilistic procedure for scanning probe microscopy that slices the surface of copper using a X-ray diffractionram for the determination of the Cu(100) content of copper dioxide.
Abstract: Keywords: copper ; scanning probe microscopy ; self-assembly ; supramolecular chemistry ; surface chemistry ; Cu(100) ; Networks ; Chemistry ; Template ; Polymers ; Acid ; Architectures ; Confinement ; Interface ; Molecules Reference EPFL-ARTICLE-160497doi:10.1002/anie.200803124View record in Web of Science Record created on 2010-11-30, modified on 2017-05-12
69 citations
Authors
Showing all 6548 results
Name | H-index | Papers | Citations |
---|---|---|---|
Rajesh Kumar | 149 | 4439 | 140830 |
Bhawna Gomber | 125 | 1088 | 72998 |
Roald Hoffmann | 116 | 870 | 59470 |
Robert W. Boyd | 98 | 1161 | 37321 |
Gautam R. Desiraju | 88 | 458 | 45301 |
Shyam Sundar | 86 | 614 | 30289 |
Rukhsana Sultana | 76 | 162 | 14110 |
Rahul Banerjee | 73 | 203 | 21478 |
Judith A. K. Howard | 71 | 1318 | 44362 |
Girish S. Agarwal | 69 | 718 | 20780 |
Francis D'Souza | 66 | 477 | 16662 |
Praveen K. Thallapally | 64 | 190 | 12110 |
Kotha Subbaramaiah | 64 | 148 | 16020 |
Ashwini Nangia | 63 | 299 | 13057 |
E. C. G. Sudarshan | 59 | 379 | 21539 |