Metallic glasses exhibit unique thermoplastic processing capability, which is enabled by their metastable supercooled liquid state below the crystallization temperature. The thermoplastic processing critically depends on the crystallization time (processing time window), temperature (viscosity), applied load, and strain-rate. Among these parameters, the effects of crystallization time and processing temperature have been extensively studied. However, the effects of load and loading rate have not been thoroughly investigated. In this work, we performed a systematic study of load on the supercooled liquid state of three metallic glass formers: Pt-based, Zr-based, and Pd-based. The results show that the load-response of a metallic glass supercooled liquids is strongly composition dependent. The onset temperature of crystallization decreases with increasing load in Pt-based metallic glass whereas for Zr-based and Pd-based metallic glasses the onset temperature remains unchanged. The crystallization peak time is reduced for all three metallic glasses after thermoplastic forming. The results are discussed in terms of nucleation and growth of crystallites in metallic glasses.

In the present days, COVID-19 (SARS-Cov-2) has a serious issue and has created many challenges not only in the medical research but also in human life style. This virus has spread out within India also after originated from China and the rate of transmission inrease day by day. India has seen over 8 lakh cases of infections and over 20,000 cases of death till first week of July, 2020. Government of India has announced absolute lockdown to reduce the transmission rate. The present review study indicates a comparative study on the natural activity regarding the air and the water pollution before and after this lockdown. The study has presented the literature about the variation of concentration of pollutant in the air and water. The studies have been conducted and explained the scenario of the Indian ecology.

The present article is a review work about the role of near infrared spectroscopy to detect different adulterantsin the milk. Milk is a nutritive food and very useful and healthy drink for the child and senior citizens. It has various nutrition parameters. But, to increase the profit many adulterantsare added in the milk which are very harmful for human body. The adulterants can be detected using various chemical methods which are time consuming, hazardous and destructive in nature.Thus there is need of a nondestructive, green and rapid method to detect the adulteration. Near Infrared spectroscopy (NIRS) is one of the most useful and robust technique which needs no minimal sample preparation and is rapid, green, and non destructive in nature. The review covers the various nondestructive methods to detect various adulterants.

We consider dijet production at a e+e− collider in a class of effective theories with the relevant operators being four-fermion contact interaction. Despite the nonrenormalizable nature of the interaction, we explicitly demonstrate that calculating QCD corrections is both possible and meaningful. Calculating the corrections for various differential distributions, we show that these can be substantial and significantly different from those within the SM. Furthermore, the corrections have a very distinctive flavor dependence.

The paper deals with the survey about the safety knowledge of college students on deodorant or antiperspirant. The college students have been chosen from colleges situated in urban and rural areas of West Bengal. A structured questionnaire has been developed and used for the survey on the under-graduate college students. Descriptive statistics and t-tests have been computed for analyzing the data statistically. The results show that there is significant difference in safety knowledge between college students from rural and urban areas.

With the steep rise in new technologies in the field of digital communications and sensors, Mechatronics have availed us in coming up with new innovative designs for more sustainable physical systems. The forefront of all is the development of the electric vehicles to stop the carbon emissions from IC engines used in these days. In this proposed paper, we have designed a vehicle system using Incremental Conductance Algorithm and a Closed Loop Boost Converter and supported by a backup battery system.

Nanoparticles and subnanometer size particles of metal or semiconductor have a very important role in preventing environmental degradation which is alarming now a days. Threat to environmental damage can be averted by resorting to clean energy sources instead of conventional fossil fuel such petroleum, coal, etc., and controlling the toxic materials from spreading as well as reducing their life time by catalysing their degradation. Catalyzing energy conversion and degrading toxic materials is possible by the use of metal nanoparticles of specific size ranges. In this article, a novel method of production of nanoparticle with precise control on their size without the use of chemical reagents is briey described.

In this work we present a real space based method to analyse the consequence of randomness on a model two band Hubbard Hamiltonian which represents a “± s-wave superconductor”. A ironpnictide superconductor has this symmetry of superconducting order parameter. Using our method we analyse the effect of substitutional disorder on diagonal and off-diagonal terms of the Hamiltonian of the system. Disorder in the interband intersite hopping integral is seen to kill superconductivity in the system. Thus such randomness leads us to a paradigm beyond Anderson's proposition for “dirty superconductors”

A study of FexCry binary nanoalloy clusters is carried out for sizes n=x+y=13 and 55, the first two closed shell structures. While for n=13, various compositions like x=12 and y=1; x=11 and y=2; x=10 and y=3 ; x=1 and y=12 are studied, for the larger size (n=55) the morphology of a Fe-rich cluster (Fe42Cr13) and a Cr-rich cluster (Fe13Cr42) are analysed. The potential energy surface of the nanoalloys are scanned thoroughly using an evolutionary genetic algorithm in conjunction with a density functional theory based first principles method and the most stable clusters are picked up for every size and composition. A definite hierarchy in Cr-Cr,Fe-Cr and Fe-Fe bonding strengths is seen to determine the stability of the clusters. Cr-Cr bonding is promoted over Fe-Cr bonding which in turn is preferred over Fe-Fe bonding in the nanoalloy systems.

Supramolecular chemistry is the branch of chemistry which emphases on the self-aggregation of a discrete number of molecules in a controlled and desired fashion.Supramolecular chemistry has gain much more attention in medicine for their enhance drug delivery to the target cells and therefore minimizing the off-target taken by the cell which causes side-effects. In this review, three major macrocyclic host molecules: block co-polymeric self-assembles, niosome, and cucurbit[n]urils (CBs) as for the application in biomedical applications has been discussed.