257 research outputs found
Unit cell of Zn3 (AsO4)2.4H2O
No full textZn₃(AsO₄)₂.4H₂O is triclinic with a = 5.99 ± 0,02 Å, 6 = 7.63 ± 0.02 Å, c = 5.43 ± 0.02 Å and α = 94° 18' ± 6', β = 91° 12' ± 4', γ = 92° 6' ± 9'.Nabar Mahadeo Anant, Patkar V. S. Unit cell of Zn3 (AsO4)2.4H2O. In: Bulletin de la Société française de Minéralogie et de Cristallographie, volume 97, 6, 1974. pp. 479-480
An integrated framework for the computer -aided formulation and part design of engineering rubbers using advanced knowledge engineering and artificial intelligence
No full textA formulated engineering rubber is a complex mixture involving several components that are involved in the vulcanization reactions. The life-performance of a rubber part is determined in a complex, coupled manner by the vulcanization kinetics, part shape, thermal histories during part manufacture and service, and mechanical loading. Due to this complexity, the current industrial design practice is a heuristic, trial-and-error procedure. Recently, Ghosh, et al. [1] presented a kinetic model to predict the temporal evolution of crosslink density, the key parameter connecting formulation chemistry to mechanical response. However, the model is applicable only to a limited range of formulations and does not describe all features of vulcanization. The primary objective of this thesis is to critically analyze vulcanization chemistry, which involves polysulfidic species, using fundamental quantum-chemical calculations. We have performed exhaustive Density Functional Theory calculations to determine the energies and equilibrium constants for the sulfur-sulfur bond dissociations in the various polysulfidic species. Molecular orbital analyses have been carried out to obtain qualitative insights into relative reactivities of the species. Our results show that the bond dissociation energies and equilibrium constants depend upon polysulfidic chain length, bond position and the type of terminal end group. Our analyses also suggest that some reactions in the Ghosh, et al. model may need to be modified or replaced by alternative mechanisms. Our secondary objective is to predict the life-performance of a formulated rubber part. We have developed a manufacturing model that involves transient heat conduction to describe the spatially heterogeneous temperature field in the part at the end of manufacture, which is then used with the kinetic model to predict the crosslink density profile in the part. We then employ a model by Sarkar and coworkers[2] to calculate the viscous dissipation during part service, and use the resulting temperature field with the kinetic model to describe the long-term mechanical performance of the part expressed as the evolution of the elastic modulus over long times. We also present a preliminary, conceptual framework for simultaneous formulation and part design, which is based on multi-scale, hierarchical forward models and knowledge-driven inverse search. [1] Ghosh, P., S. Katare, P. Patkar, J. M. Caruthers and V. Venkatasubramanian, Rubber Reviews, 2003, 76(3): p.592. [2] Patkar, P., A. Sarkar, S. Syal, J. M. Caruthers and V. Venkatasubramanian, in Fall Technical Meeting of the Rubber Division, American Chemical Society, 2003, Cleveland, OH
Evidence-based guidelines and decision support services: a discussion and evaluation in triple assessment of suspected breast cancer
No full textWidespread health service goals to improve consistency and safety in patient care have prompted considerable investment in the development of evidence-based clinical guidelines. Computerised decision support (CDS) systems have been proposed as a means to implement guidelines in practice. This paper discusses the general concept in oncology and presents an evaluation of a CDS system to support triple assessment (TA) in breast cancer care. Balanced-block crossover experiment and questionnaire study. One stop clinic for symptomatic breast patients. Twenty-four practising breast clinicians from United Kingdom National Health Service hospitals. A web-based CDS system. Clinicians made significantly more deviations from guideline recommendations without decision support (60 out of 120 errors without CDS; 16 out of 120 errors with CDS, P < 0.001). Ignoring minor deviations, 16 potentially critical errors arose in the no-decision-support arm of the trial compared with just one (P = 0.001) when decision support was available. Opinions of participating clinicians towards the CDS tool became more positive after they had used it (P < 0.025). The use of decision support capabilities in TA may yield significant measurable benefits for quality and safety of patient care. This is an important option for improving compliance with evidence-based practice guidelines
Microcantilever Based Dual Mode Optical Biosensor for Agricultural Pathogen Detection
No full textWith the aim of increasing crop yields, guiding precision farming applications and for more sustainable disease management practices development of early diagnostics sensors for pathogens in agriculture is vital. A sensitive method of diagnosis which will detect the low concentration of pathogens in the initial stages of infection will allow early diagnosis and help in saving the crop. Microcantilever based biosensors are ideal devices for such kind of applications. This paper presents development of a highly sensitive dual mode operated optical sensor for agricultural pathogen detection. Agricultural pathogen detection using a microcantilever platform in both static and dynamic mode of operation is reported here for the first time. Micromolar concentartion of Ralstonia solanacearum antigens was detected optically by using the ultrasensitive Mecwins® SCALA platform in liquid medium
Microcantilever Based Dual Mode Biosensor For Agricultural Applications
No full textWith the aim of increasing crop yields, guiding precision farming applications and for more sustainable disease management practices development of early diagnostics sensors for pathogens in agriculture is vital. A sensitive method of diagnosis which will detect the low concentration of pathogens in the initial stages of infection will allow early diagnosis and help in saving the crop. Microcantilever based biosensors are ideal devices for such kind of applications. This paper presents development of a highly sensitive dual mode operated sensor for agricultural pathogen detection. Micromolar concentartion of Ralstonia solanacearum antigen in liquid medium was detected optically by using the ultrasensitive Mecwins® SCALA platform while electrically using a Keithley source meter. Agricultural pathogen detection employing optical as well as electrical readout using a piezoresistive microcantilever platform in both static and dynamic modes of operation is reported here for the first time
An investigation into approximate solutions for deterministic and stochastic multi-dimensional sequencing
No full textA description is given of an investigation in detail into the validity of the overlap integral method for describing planar optical waveguide junctions. A comparison between the results of this method and that of a rigorous mode-matching approach is taken
The Effects of C-terminal Modifications on the Opioid Activity of [N-BenzylTyr1]Dynorphin A-(1-11) Analogs
No full textStructural modifications affecting the efficacy of analogs of the endogenous opioid peptide dynorphin (Dyn) A have focused on the N-terminal “message” sequence, based on the “messageaddress” concept. To test the hypothesis that changes in the C-terminal “address” domain could affect efficacy, modified amino acids and cyclic constraints were incorporated into this region of the partial agonist [N-benzylTyr1]Dyn A-(1-11). Modifications in the C-terminal domain of [NbenzylTyr1] Dyn A-(1-11)NH2 resulted in increased kappa opioid receptor (KOR) affinity for all of the linear analogs, but did not affect the efficacy of these peptides at KOR. Cyclization between positions 5 and 8 yielded [N-benzylTyr1,cyclo(D-Asp5,Dap8)]Dyn A-(1-11)NH2 (13) (Patkar et al. J. Med. Chem. 2005, 48, 4500-4503) with high selectivity for KOR. In contrast to the linear peptides, this peptide exhibits negligible efficacy in the AC assay and is a KOR antagonist. These data are consistent with our hypothesis that appropriate modifications in the “address” domain of Dyn A analogs may affect efficacy
Synthesis of Benzofuropyranones, Naphthofuropyranones, Benzo-furopyridinones and Naphthofuropyridinones. Part-II
No full textOrganic Research Laboratory, Patkar College, Goregaon (West), Bombay-400 062
Manuscript received 28 January 1992, accepted 27 May 1992
Synthesis of Benzofuropyranones, Naphthofuropyranones, Benzo-furopyridinones and Naphthofuropyridinones. Part-II
Fast on-line/off-line algorithms for optimal reinforcement of a network and its connections with principal partition
No full textThe problem of computing the strength and performing optimal reinforcement for an edge-weighted graph G(V, E, w) is well-studied. In this paper, we present fast (sequential linear time and parallel logarithmic time) on-line algorithms for optimally reinforcing the graph when the reinforcement material is available continuously on-line. These are the first on-line algorithms for this problem. We invest O(\V3)\E\log\V time (equivalent to Omega(\V\) invocations of the fastest known algorithms for optimal reinforcement) in preprocessing the graph before the start of our algorithms. It is shown that the output of our on-line algorithms is as good as that of the off-line algorithms. Thus our algorithms are better than the fastest off-line algorithms in situations when a sequence of more than Omega(\V\) reinforcement problems need to be solved. The key idea is to make use of ideas underlying the theory of Principal Partition of a Graph. Our ideas are easily generalized to the general setting of polymatroid functions. We also present a new efficient algorithm for computation of the Principal Sequence of a graph
PRINCIPAL LATTICE OF PARTITIONS OF SUBMODULAR FUNCTIONS ON GRAPHS - FAST ALGORITHMS FOR PRINCIPAL PARTITION AND GENERIC RIGIDITY
No full textIn this paper we use a single unifying approach (which we call the Principal Lattice of Partitions approach) to construct simple and fast algorithms for problems including and related to the ''Principal Partition' and the ''Generic Rigidity'' of graphs. Most of our algorithms are at least as fast as presently known algorithms fox these problems, while our algorithm for Principal Partition problem (complete partition and the partial orders for all critical values) runs in O(\E\\V\2log2\V\) time and is the fastest known so far
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