Resistive Switching Property of Bmim(Br) Ionic Liquid under the Influence of ZnO Nanorods

The majority of the research work in the area of resistive switching has been carried out with the help of organic, inorganic and hybrid materials. Only a few reports investigate resistive switching properties of ionic liquid and soft materials. In this report, we have synthesized ZnO nanorods (NRs) and Bmim(Br) ionic liquid using simple and low-temperature chemical route i.e., hydrothermal and reflux method, respectively. The structural study of ZnO NRs indicates that the formation of hexagonal crystal structure, evident from the XRD pattern. The FESEM image suggested the formation of nanorods like morphology. The effect of dispersed ZnO NRs on the resistive switching behavior of Bmim(Br) ionic liquid was studied. The study explains the change in switching behavior by dispersing the different concentrations of ZnO NRs in ionic liquid. The results demonstrated that the dispersed ZnO NRs in ionic liquid plays a vital role and will be a potential active switching material for resistive switching applications

Natural carbonized sugar as a low-temperature ammonia sensor material: experimental, theoretical and computational studies

Carbonized sugar (CS) has been synthesized via microwave-assisted carbonization of market-quality tabletop sugar bearing in mind the advantages of this synthesis method, such as being useful, cost-effective, and eco-friendly. The as-prepared CS has been characterized for its morphology, phase purity, type of porosity, pore-size distribution, and so on. The gas-sensing properties of CS for various oxidizing and reducing gases are demonstrated at ambient temperature, where we observe good selectivity toward liquid ammonia among other gases. The highest ammonia response (50%) of a CS-based sensor was noted at 80 °C for 100 ppm concentration. The response and recovery times of the CS sensor are 180 and 216 s, respectively. This unveiling ammonia-sensing study is explored through a plausible theoretical mechanism, which is further well-supported by computational modeling performed using density function theory. The effect of relative humidity on the CS sensor has also been studied at ambient temperature, which demonstrated that the minimum and maximum (20–100%) relative humidity values revealed 16 and 62% response, respectively

International Journal of Transformations in Business Management STUDY ON CORPORATE GOVERNANCE AND NGO's

ABSTRAC

Real-Time Stability Surveillance in Power Systems: A Deep Learning Approach

Online Power System Stability assessment is a critical problem which has enormous scope of development. Most electrical utilities investigate system stability by simulating critical contingencies to determine the severity of transient disturbances in the system. Assessment of power system transient stability is critical for a reliable and continuous operation and to ensure none of the working generating units in the system go out of synchronism. The main objective of this research is to develop a fast and robust online transient stability assessment tool to classify the system operating states and to identify system critical generators in case of instability. This research proposes a deep learning neural network framework that captures the phasor measurement unit (PMU) measurements and monitor the system transient stability in real-time. The proposed framework in a first case study utilizes the convolutional neural network (CNN) with hypotheses CNN pooling (HCP) to identify the system operating states and detect the set of critical generators. The proposed framework in the second case utilizes a hybrid deep learning network consisting of CNN and Long Short Term Memory (LSTM) called ConvLSTM network for the given problem of system stability monitoring. The suggested CNN-HCP module and ConvLSTM module for stability assessment and for detecting critical generators through multi-class and multi-label classifications are tested on the IEEE 118-bus test system and IEEE 39-bus test system, respectively, where different types of faults at different locations and under varying system load conditions are simulated. The test results verified that our proposed framework is fast and accurate, thereby a viable approach for online system stability monitoring applications

Screening of Marketed Formulations of Shatavari Tablets to Establish Pharmaceutical Equivalence

Using an in vitro dissolving research, compare the pharmacological equivalent of three brands of Shatavari tablets sold in India. According to IP rules, the dissolution was performed using apparatus I (the paddle device). According to the Indian Pharmacopoeia, evaluation of physicochemical characteristics including weight variation test, content uniformity test, hardness test, friability test, disintegration test, and dissolution test was conducted. For weight fluctuation, content homogeneity, hardness, friability, disintegration time, and dissolving study, all brands complied with official specifications. Two out of the three brands of Shatavari tablets achieved more than 75% dissolve in just 60 minutes, according to the dissolution profile. Out of three brands of Shatavari tablets, the results indicated that two of them had satisfactory quality and had passed all of the pharmacopoeia's tests. Keywords: Asparagus racemosus, pharmaceutical equivalence, in vitro dissolution

Frugal discrete memristive device based on potassium permanganate solution

Many thin film-based devices with solid electrolytes have been studied for memristive applications. Herein, we report a simple and facile way to fabricate solution-based, low-cost, and discrete two-terminal memristive devices using the KMnO4 solution. The water and methanol were used as a solvent to prepare different concentrations of KMnO4 to carry out the optimization study. Furthermore, the effect of KMnO4 concentration with aqueous and methanol solvents was studied with the help of current-voltage, device charge, charge-flux, and cyclic endurance properties. Interestingly, all developed devices show the asymmetric time-domain charge and double valued charge-flux properties, suggesting that aqueous KMnO4 and methanol-KMnO4 based devices are non-ideal memristors or memristive devices. The statistical measures such as cumulative probability and coefficient of variation are reported for the memristive devices. The possible switching mechanism of the discrete memristive was tried to explain with the UV-visible spectrum and theoretical framework. The optimized device was further studied using the cyclic voltammogram, Bode plot, and Nyquist plot. An equivalent circuit was derived for the optimized discrete memristive device using electrochemical impendence spectroscopy results. The results of the present investigation are beneficial to develop programmable analog circuits, volatile memory, and synaptic devices using discrete memristive devices

Pre-Sowing Treatments, Seed Components and Water Imbibition Aids Seed Germination of Gloriosa superba

Gloriosa superba L. is a horticulturally and medicinally important plant. Its seeds have poor, erratic, and deferred germination. The detailed seed structure components and water imbibition mechanism facilitating the process of seed germination in G. superba remain unexplored. Therefore, it is essential to develop methods to ensure consistent and enhanced seed germination in G. superba. Various pre-sowing treatments along with the Brunauer-Emmett-Teller (BET) surface area analysis and 3D X-ray micro-tomography (micro-T) were employed to elucidate seed structure components, porosity network, and the water imbibition mechanism during germination in G. superba. The study revealed that consistent and significantly improved seed germination (>85%) was observed using the pre-sowing treatment mechanical scarification followed by 24 h water soaking in G. superba. BET and micro-T showed that the tegmen of the seed coat exhibited porosity (21%) with a well-connected porosity network (17.50%) that helped in water movement through hilum, which was confirmed by phosphotungstic acid staining. However, the sarcotesta and endosperm were water-impermeable due to their negligible porosity. Multidisciplinary techniques such as BET and micro-T along with conventional methodologies can be employed to address the seed coat structure, porosity, and water imbibition mechanism aiding seed germination. Mechanical scarification enabled the water to penetrate internal seed layers through the permeable tegmen via the reticulate pore network, which significantly improved seed germination. The developed seed germination method can produce a large number of plants in less time and conserve the natural populations of this high-value medicinally important species