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Network pharmacology is an emerging technique, which integrates systems biology and computational biology to study multi-component and multi-targeted formulations. Ayurveda, the traditional system of Indian medicine, uses intelligent formulations; however, their scientific rationale and mechanisms remain largely unexplored. This paper presents the potential of network pharmacology to understand the rationale of a commonly used Ayurveda formulation known as Triphala. We have developed pharmacology networks of Triphala based on the information gathered from different databases and using the software Cytoscape. The networks depict the interaction of bioactives with molecular targets and their relation with diseases, especially cancer. The network pharmacology analysis of Triphala has offered new relationships among bioactives, targets and putative applications of cancer etiology. This pioneering effort might open new possibilities to know pharmacodynamics of Ayurvedic drugs like Triphala and also help in the discovery of new leads and targets for various diseases.

This report belongs to a series concerned with the correlation of photolysis bands observed in electronic transition spectra of simple molecules with their dissociation products. In this work a time-delayed, double resonance application of optical impedance spectroscopy was used for the study of the state selective photolysis of Cs2 excited in the yellow range of visible wavelengths. Two independently tunable dye lasers were synchronously pulsed, the first being used to dissociate the constituents of the sample along the various possible channels and the second, delayed pulse being used to identify the products by exciting them selectively into easily detected Rydberg states. The time between photolysis and detection could be varied, starting from a value too short to permit collisional mixing or radiative cascading of the products. Particular attention was paid to the photolytic production of the fine structure components of the first and second electronically excited state of atomic cesium and to the subsequent processes which tended to degrade the selectivity produced in the initial distributions of product populations among the available states. Data were fit to a quantitative model from which rate coefficients could be extracted for various mixing processes. Reported here is what appears to be a first value for the fine-structure mixing cross section (5 2D5/2→5 2D3/2) of 17 Å2±60%. In addition a delayed process for the selective production of Cs(5 2D) atoms was found to result from the excitation of a state having a lifetime less than 100 ns that is tentatively identified as a molecular state correlated with Cs(5 2D), possibly 5d 3Δu.

A fast high voltage switch to discharge a capacitive load using a stack of bipolar junction transistors is described. The switch operating at a voltage of 3.5 kV has a fall time (90%–10%) of ∼2 ns. With a capacitive load (pockel cell) the pulse fall time increases to 6 ns. The life of the stack is >50 million shots.

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