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Recent advances fascinated the use of biological resources in combination with metals to obtain high quality biometals and apply its advantages in different fields. Endophytic mediated Zinc oxide nanoparticles (ZnO-NPs) is an economical and ecofriendly way for farmers to avoid Zn deficiency in rice crop and obtain high yield. Here we synthesized ZnO-NPs utilizing endophytic bacterial strain of Enterobacter hormaechei (E. hormaechei). The physiochemical properties of the prepared NPs were determined through UV-Vis spectroscopy, XRD, FT-IR, SEM and TEM. The prepared NPs revealed surface plasmon resonance (SPR) at 320 nm (nm) and crystalline structure with 21 nm average crystalline size. FT-IR spectra showed the presence of carboxylic, alcohol and amine functional groups, which confirm the biometallic assembling of the ZnO and endophytic bacterial functional groups. SEM showed pyramidal symmetry whereas TEM revealed poly dispersed spherical shape with particle size distribution 18-48 nm. Our results showed that prepared NPs possess significant antifungal, antibacterial and antioxidant potential at 25, 50 and 100 µg/mL concentrations. Moreover, Cytotoxic and hemolytic assay showed significant results (less % viability and hemolysis activity) at 50 and 100 µg/mL (ZnO-NP's) concentrations as compared to control. The prepared ZnO-NPs were used as bio fertilizer in various concentrations as a foliar spray, which showed significant enhancement of the rice plant growth, along with chlorophyll, proteins and carotenoid contents. These results recommend that endophytic mediated ZnO-NPs are biocompatible and possess significant potential for agricultural applications.

In this work, we provide a new generated class of models, namely, the extended generalized inverted Kumaraswamy generated (EGIKw-G) family of distributions. Several structural properties (survival function sf , hazard rate function hrf , reverse hazard rate function rhrf , quantile function qf and median, s th raw moment, generating function, mean deviation md , etc.) are provided. The estimates for parameters of new G class are derived via maximum likelihood estimation MLE method. The special models of the proposed class are discussed, and particular attention is given to one special model, the extended generalized inverted Kumaraswamy Burr XII (EGIKw-Burr XII) model. Estimators are evaluated via a Monte Carlo simulation MCS . The superiority of EGIKw-Burr XII model is proved using a lifetime data applications.

Currently, prevention and control of the coronavirus disease pneumonia epidemic situation are grim globally. To cope with total sheer carriers and patients of COVID-19 requires intensive medical support and adjunctive therapies to overcome the disease. The epidemic can be controlled with the help of both, disease suppression via community health measures and adjunctive therapies for patients suffering from infection. Till date, we do not have any proper anti-COVID-19 therapy. In order to achieve the overall realization of this pandemic, there is a need to identify treatments depending upon their direct or indirect targets; like inhibition of polyprotein synthesis, transmembrane serine protease, inhibition of viral entry and endocytosis. This could be possible by turning the focus in the direction towards the development of numerous tentative drugs, particularly in the severe to badly ill. Though, majority of these off-label adjunctive medicines are being inspected in a lot of clinical trials at different stages, scientific organizations have endeavored to elucidate the situation where these adjunctive drugs might be practiced as off-label, open- label or compassionate. Our review compiles the adjunctive therapies adopted in COVID-19 infected patients according to clinical severity in conjugation with practicing recommendations from existing guidance rules issued by global professional bodies in healthcare.