83 research outputs found
Identification of absolute geometries of cis and trans molecular isomers by Coulomb Explosion Imaging
Citation: Ablikim, U., Bomme, C., Xiong, H., Savelyev, E., Obaid, R., Kaderiya, B., . . . Rolles, D. (2016). Identification of absolute geometries of cis and trans molecular isomers by Coulomb Explosion Imaging. Scientific Reports, 6, 8. doi:10.1038/srep38202An experimental route to identify and separate geometric isomers by means of coincident Coulomb explosion imaging is presented, allowing isomer-resolved photoionization studies on isomerically mixed samples. We demonstrate the technique on cis/trans 1,2-dibromoethene (C2H2Br2). The momentum correlation between the bromine ions in a three-body fragmentation process induced by bromine 3d inner-shell photoionization is used to identify the cis and trans structures of the isomers. The experimentally determined momentum correlations and the isomer-resolved fragment-ion kinetic energies are matched closely by a classical Coulomb explosion model
Effects of nanosuspension and inclusion complex techniques on the in vitro protease inhibitory activity of naproxen
This study investigated the effects of nanosuspension and inclusion complex techniques on in vitro trypsin inhibitory activity of naproxen—a member of the propionic acid derivatives, which are a group of antipyretic, analgesic, and non-steroidal anti-inflammatory drugs. Nanosuspension and inclusion complex techniques were used to increase the solubility and anti-inflammatory efficacy of naproxen. The evaporative precipitation into aqueous solution (EPAS) technique and the kneading methods were used to prepare the nanosuspension and inclusion complex of naproxen, respectively. We also used an in vitro protease inhibitory assay to investigate the anti-inflammatory effect of modified naproxen formulations. Physiochemical properties of modified naproxen formulations were analyzed using UV, IR spectra, and solubility studies. Beta-cyclodextrin inclusion complex of naproxen was found to have a lower percentage of antitryptic activity than a pure nanosuspension of naproxen did. In conclusion, nanosuspension of naproxen has a greater anti-inflammatory effect than the other two tested formulations. This is because the nanosuspension formulation reduces the particle size of naproxen. Based on these results, the antitryptic activity of naproxen nanosuspension was noteworthy; therefore, this formulation can be used for the management of inflammatory disorders
Wild species of vaccinium composition, nutritional value and utilization
There are still, in many parts of the globe, some edible fruit collects from the wild for human feeding and other uses. These fruits are utilised either in their raw nature or after some form of processing. One of these wild fruits are Vaccinium species such as Vaccinium myrtoides (Blume) Miq., Vaccinium cylindraceum, Vaccinium padifolium, Vaccinium corymbosum, Vaccinium myrtillus and others from the plant family Ericaceae. The term wild infers non-cultivated plants found in plantation felids or the forest. The species Vaccinium myrtoides and the others are small trees (shrubs) that are well known in Southeast Asian countries such as Philippines, Indonesia and other neighbouring islands. The plants classified as wild growing shrubs. However, the locals have made it be fully utilized in some areas as the wood that are used in grafting utensils and cutleries, or as fuel and fruits. The small-sized berry-like fruits with an average diameter of about 4–5 mm turn black when ripe. They have a delicious flavour that makes it edible and used in the making of other delicacies such as tart and pies to add flavour and as preservatives as well. A few published researches were done on Vaccinium myrtoides showing that it is still used in folkloric medicine. Leaves and fruits extracts showed strong antioxidant activity when tested in-vitro using DPPH (2, 2-diphenyl-1-picrylhydrazyl) free radical scavenging activity as part of a preliminary phytochemical screening for V. myrtoides. The study revealed that the antioxidant activity is due to the presence of flavonoids and other phenolic compounds in the plant leaves and fruit extracts
Lambda based fuel restricted optimal fuel dispatch using hybrid genetic algorithm for utility system
A neural network approach to day-ahead deregulated electricity market prices classification
Day-Ahead Price Forecasting in Asia's First Liberalised Electricity Market Using Artificial Neural Networks
This paper proposes a comparative model for the day-ahead electricity price forecasting that could be realized using multi-layer neural network (MLNN) with levenberg-marquardt (LM) algorithm, generalized regression neural network (GRNN) and cascade-forward neural network (CFNN). In this work applications of various models were applied to national electricity market of Singapore (NEMS), i.e. Asia's first liberalized electricity market. The
individual price of year 2006 is very volatile with a very wide range. Therefore, accurate forecasting models are required for Singapore electricity market company (EMC) to maximize their profits and for consumers to maximize their utilities. Hence the year 2006 has been taken for forecasting the uniform Singapore electricity price (USEP). The mean absolute percentage error (MAPE) results show that the proposed CFNN model possess better
forecasting abilities than the other models and its performance was least affected by the volatility
Generation maintenance scheduling using improved binary particle swarm optimisation considering aging failures
Grid interconnection of renewable energy sources using multifunctional grid-interactive converters: A fuzzy logic based approach
Artificial Neural Network Based Droop-Control Technique for Accurate Power Sharing in an Islanded Microgrid
In an islanded microgrid, while considering the complex nature of line impedance, the generalized droop control fails to share the actual real/reactive power between the distributed generation (DG) units. To overcome this power sharing issue, in this paper a new approach based on feed forward neural network (FFNN) is proposed. Also, the proposed FFNN based droop control method simultaneously controls the microgrid voltage and frequency within the limits. The proposed microgrid consists of combination of photovoltaic (PV) system and battery energy storage system (BESS) as the first DG unit and solid oxide fuel cell (SOFC) as the second DG unit. The simulation of the proposed microgrid is carried out in Matlab/Simulink environment and necessary results are compared to show the effectiveness of the proposed method
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