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Binary metal halide, Copper iodide (CuI) is a versatile p-type transparent conductor that has been shown exceptional functionalities towards optoelectronic and thermoelectric applications. Properties such as transparency and conductivity are very sensitive to the morphology, and Cu and I defects. In this study, we report success in preparation of CuI thin films through cost effective close space flux sublimation of CuI powders in vapor transport tube furnace under the optimized pressure (10 mBar with N2 flow) and temperature (490 °C). As-deposited samples are found to show CuI phase along with fraction of Cu3N impurity phase. However, post iodization led to transformation into single phase CuI with subtle changes in lattice constant and Cu-I bond length, as revealed from X-ray diffraction and Raman spectroscopy. The bandgap of the thin film is estimated as 2.95 eV, and four-point electrical measurements show conducting behavior establishing the continuity of thin films. The success in CuI thin film preparation through close space sublimation could pave a way to prepare large area films at low cost. [ABSTRACT FROM AUTHOR]

There has been research on the frequency upconversion in Er3+ doped tungstate-tellurite doped glass with silver nanoparticles (NPs). By using the melt quenching procedure with a modest number of Ag nanoparticles, tellurite-based glasses have been created (Ag-NPs). The optical excitation occurs at 980 nm in resonance with the transition of Er3+ ions in the glass system from 4I15/2 to 4I11/2. As Er3+ ions transitioned, emission bands with centres at 535nm, 550nm, and 664nm were seen. This TWNEA with Ag NPs glass sample analysis concerned the assessment of the intensity of the green and red colours. According to the results, it is possible to use glasses doped with rare earth elements and silver to explore the possibilities of multiphoton microscopy. [ABSTRACT FROM AUTHOR]

In this work, Lie symmetry method has been employed to analyze the symmetries of the Fujimoto Watanabe equation with variable coefficients. The obtained symmetries have been utilized to reduce the governed equation into ordinary differential equations. The optimal system of considerd equation has been by utilizing adjoint representation. The governing equation has been reduced with respect to each member of optimal system. The conservation laws are also obtained for the considered equation with respect to each infinitesimal generator using the new conservation theorem and Noether operator. [ABSTRACT FROM AUTHOR]

This article is devoted to the exact traveling wave solutions of the space-time fractional Gerdjikov–Ivanov equation by new generalized approach and improved Bernoulli sub-equation method. This equation is modified to include a fractional derivative. Obtained solutions are unique, because of the new conformal fractional derivative definition which is based on a limiting approach. For different types of nonlinear differential equations, the proposed schemes are effective and reliable. [ABSTRACT FROM AUTHOR]

This work investigates novel exact solutions to the fractionally perturbed Chen-Lee-Liu (CLL) equation. Numerous soliton solutions to the examined equation, including bright, dark, singular, and kink wave solutions are obtained using the modified extended tanh expansion method (METEM) enhanced with new Riccati solutions. The parametric influence on optical solitons is shown using 3D graphs of several of the optical solitons. The solitary wave behavior of the considered equation's solution is displayed using 2D graphs. [ABSTRACT FROM AUTHOR]

In the present study, the modified exp-function method has been utilized for finding the exact solutions of the time fractional perturbed nonlinear Schrödinger's equation with Kerr law nonlinearity and the obtained solutions are studied via their graphical representations. The changes that occur in the behaviour of the exact solution with the changes in the fractional derivative parameter are well demonstrated. 3-D graphs of the obtained solutions are plotted and there their physical interpretation has been provided in this study. [ABSTRACT FROM AUTHOR]

In the digital era each and every thing are digitally worked and the machine algorithm are used to predict the healthcare data and the machine are understand the thing by the previous data. In this paper proposed initially, take the dataset from the healthcare department, into the CSV format and load the dataset and divide the dataset into train and test split use the SciPy tool. Secondly, apply the k nearest neighbor method for classification and finally shows the simulation results model accuracy,F-measure, precision & recall of the algorithm. [ABSTRACT FROM AUTHOR]

Through this paper, we examine the impact of telemedicine among patients and healthcare professionals during the second wave of COVID-19 pandemic in India. Using the electronic and communication technologies, telemedicine is used to transfer the information from one place to another place. The foremost utility peculiar to telemedicine is to render assistance in medical aid by referring to Information and Communication Technology (ICT). It is not safe to visit a hospital physically even in extreme emergency during a second wave of pandemic. Henceforth, telemedicine plays an important role in this situation. Use of telemedicine during a pandemic helps to improve the quality of health services and improve access to the various medicinal facilities to the people that are not easily available. We have been told the importance of using telehealth to provide us healthcare in the present scenario, specifically as a means of reducing the risk of cross contamination caused by contact. Like other countries, India also began providing digital healthcare services as means of telemedicine during the outbreak of the second wave of COVID-19 pandemic. With the increase in the surge of the second wave of COVID-19 pandemic, many telemedicine service providers in India have also expanded their service operations for the general public. In this paper, a survey is being presented based on the e-sanjeevani data regarding the continuous increase of the impact of telemedicine during the spread of the second wave of COVID-19. After performing the latest literature surveys on many papers, we analyzed the consequences of telemedicine since the inception of first wave of COVID-19 pandemic till the surge of second wave. After discussions and analysis, we conclude that the use of telemedicine continuously expands during the second wave of COVID-19. In spite of numerous issues and challenges in the domain of a telemedicine sector in India, continuous improvements have been made for its survival and existence even in the rural, background and isolated areas. [ABSTRACT FROM AUTHOR]

Carpet is one of the most ancient and highly preferred fibrous three-dimensional floors covering mankind's living style. It becomes solid waste after seven to nine years, and its decomposition becomes a challenging task. The present experimental work incorporated the nanomaterial in carpet waste polymer composites for lightweight applications. The carbon-based nanomaterial (CBN) in the form of Multi-Wall Carbon Nano Tube (MWCNT) and Graphene oxide (Go) was used to enhance the carpet waste/epoxy composites. Physio-mechanical investigations characterization evaluated the feasibility of the developed composites. The results showed that adding 1D nanofiller improves the discarded waste polymer nanocomposites' mechanical properties and physical properties over the 2D nanofiller. The statistical data analysis revealed that the supplement of 0.5 wt.% of MWCNT enhanced tensile, flexural, and compression load of 38.42%, 61.85% and 50% over the neat epoxy-based discarded polymer composites. Furthermore, physical properties were analyzed and found to enhancement in fire retardancy and water uptake, respectively, over pristine specimens. The outcomes of the present work demonstrate that the developed nanocomposites can be used in wall tiles, sound barriers, low-strength tooling components, roadside barrier materials, etc. [ABSTRACT FROM AUTHOR]

Biofuels derived from biomass have been gaining more importance because it is renewable, easily available and biodegradable. Biodiesel obtained from vegetable oil are non-toxic, reduce emission and a promising alternative fuel for CI engine. Thus, present study relates the biodiesel used in this experimental work was prepared using mustard oil by transesterification process in which catalyst concentration (sodium hydroxide 3.5g, 4.5g, and 5.5g) was varied. Methyl esters obtained at different weight of catalyst showed different values such as viscosity and density was found to be 9.15 mm2/s and 876 kg/m3 in 3.5g of catalyst whereas 6.47 mm2/s and 814.4 kg/m3 in 5.5g of catalyst. The concentration of the catalyst and alcohol which affect the percentage of yield in the transesterification was studied and optimized, parameters such as viscosity, density, acid value and percentage of yield at different catalyst ratio was analysed. [ABSTRACT FROM AUTHOR]

This paper includes a Cockcroft-Walton (CW) high phase dc-dc voltage transition based on multiplier, with no step-up transformer. The suggested conversion approach is very appropriate for low-input dc generating systems with continuous input current on a switch, diode or condenser with a low rib, high voltage and low voltage. In this article two frequencies in the suggested control techniques are used, one works with high frequencies in order to reduce the inductor size, the other works with a comparatively low frequency based on the rip of the target voltage. [ABSTRACT FROM AUTHOR]

The objective of this article is to forecast India's crude oil output patterns in the future. Specifically, this article examines whether data on crude oil output in India may be modified to ARIMA models for the purpose of estimate and forecasting. This article makes use of monthly data on Indian crude oil output. The Box Jenkins autoregressive integrated moving average (ARIMA) forecasting method was used to anticipate future patterns in the Indian crude oil market. The ARIMA model clearly indicates that the average monthly percentage rise in crude oil output will be.01 percent between December 2019 and November 2020, corresponding to a 0.36 percent increase in crude oil prices over the same time. The results of the study would be helpful for the investors of the commodity market to make their investment strategies keeping in mind the predicted future fluctuations. Further, it will also assist the Indian government to make necessary policies to absorb the volatility and to control prices of crude oil. [ABSTRACT FROM AUTHOR]

In present study, a fuzzy inventory model is elaborated for perishable items with stock-level dependent demand and constant lead time. Fuzziness is considered by permitting the cost components (ordering cost, holding cost, shortage cost, etc.), deterioration and rate of demand. The items are deceased with lead time in the system. A triangular fuzzy number is applied to find the concern costs like ordering cost, holding cost, decaying cost and shortage cost. During the lead time period the shortages are permitted and fully backlogged. The aim of this study is to minimize the function of total cost in fuzzy environment. In order to check the relevancy of the present study, numerical example is provided. A method of graded mean representation is used to obtain the EOQ from the fuzzy results. The applications of the model are verified with the help of a numerical example. [ABSTRACT FROM AUTHOR]

Identification of rice varieties automatically is very exigent task in the field of image processing and that necessitates extensive knowledge of agricultural research and the use of computational artificial intelligence technology. The development of Automatic Rice Variety Identification System using machine as well as computer vision, machine learning and deep learning techniques is the need of hour to solve this problem. Automatic Rice Variety Identification System identifies the variety of the rice grains by comparing it with trained system. It is very challenging task due to distinct qualities of grains of numerous rice varieties available in the market and having unique inherent features. In this paper, a prototype of Automatic Rice Variety Identification System is proposed. In the proposed system, a Rice Image dataset has been prepared from different rice varieties grown in Punjab. The developed dataset contains a total number of 9692 Rice Images. The proposed system has been tested using KNN classifier resulting in 93% accuracy. [ABSTRACT FROM AUTHOR]

In this inventory research article, we study the modelling and analysis of inventory model for items under asymmetrical substitutability and complementarity. This model involves two items, where both are substitutable and one is formed with two complementary components. Both items are replenished jointly. Because of substitutability between two items, cost of substitutability is incurred. This model is developed for two practical cases: case of depleting of item 1 before item 2 and case of depleting of item 2 before item 1. This model aims to find order quantity for each item that maximizes the total profit function. Also, the pseudo-concavity of the total profit function is deduced analytically, and then a solution procedure is developed. The advantage of this model is that it enhances the availability of items as well as the goodwill as opposed to the model without substitutability. Finally, the proposed model is illustrated through a numerical example after which an analysis of sensitivity with respect to key parameters of the model is conducted. [ABSTRACT FROM AUTHOR]

In this article, we study a new type of nondifferentiable generalized higher-order K-η- invex function. Wolfe-type higher-order nondifferentiable fractional dual is proposed and corresponding duality theorems are discussed under aforesaid assumptions. Also, we introduce generalize lemma's i.e. 1 and 2, for nondifferentiable higher-order fractional programming problem. We will prove the Strong Duality Theorem with the help of lemma 2. [ABSTRACT FROM AUTHOR]

During last few decades, there has been a growing degree of interest in ferrites. The magnetic, electrical, optical and other properties of ferrites gain attention due to their use in various applications such as medical diagnostics, rechargeable lithium batteries, high frequency media, solar energy devices and magnetic fluids. The high resistivity and low eddy currents makes ferrites the better choice over metals. The aim of this review paper consists of an overview on the ferrites, classification of ferrites, synthesis methods, properties and its potential applications in different fields of technology. [ABSTRACT FROM AUTHOR]

In these days, nanotechnology has a very important role in our society. In various technological applications, use of nanoparticles has make things easier which have otherwise impossible. In this review, we have discussed about synthesis and possible applications of bimetallic nanoparticles. Bimetallic nanoparticles are the combination of two metal nanoparticles which are fabricated by number of synthesis methods. These nanoparticles are better for biomedical applications such as photo thermal ablation, photo thermal nanoplatforms for drug delivery and solar energy applications. [ABSTRACT FROM AUTHOR]