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Pharmaceuticals companies manufacture and maintain the stocks of several medicines. Presently, hospitals maintain stock to supply the appropriate medicine to patients under their care. The availability of medicines is dependent on the service level of suppliers. In last decade, the pharmaceutical supply chains have been an increasingly important topic. Pharmaceutical supply chains of the medicine manufacturing firm are based on traditional supply chain strategies. But, the concept became obsolete, replaced by modern supply chain strategy. The modern supply chain better analyzes pharmaceutical architectures such as green, service, agile, resilient, flexible manufacturing and is called the pharmaceutical G-F-A-L-R supply chain. To evolve a new model for the pharmaceutical supply chain, a 2nd second level pharmaceutical hierarchy G-F-A-L-R supply chain module structure has been constructed, where a Fuzzy Performance Index model has been applied on the module to compute the overall performance of individual pharmaceutical companies.

It is observed that the pollution of hospitals is escalated due to the propagation of diseases across the world. The medicine production companies are known as pharmaceutical companies; reserve the different kinds of drug stocks to be supplied to their partners. It is investigated that presently, the patient deaths are hiked due to the delay in drug delivery to hospitals by pharmaceutical companies. It became necessary for pharmaceutical companies to map own supply chain practices, so that the death cases of patients can be eliminated. Pharmaceutical companies are seeking the decision support model with computing technique, which can improve their future performance. The authors propose a model which includes sustainable practices i.e., green, agile, resilient, flexible delivery of medicines. This proposal model is value-added with a weak and strong sustainable practices identification technique. This research deals with an application of a fuzzy-based Incentre of Centroid technique on proposed sustainability and is an assessment model for identifying the ill and strong chief indices, so that pharmaceutical companies can improve performance. An empirical research case of a pharmaceutical firm is presented to exhibit the real-life application of the research work.

There is a critical need for sensitive remote sensing approaches to monitor the parameters governing photosynthesis, at the temporal scales relevant to their natural dynamics. The photochemical reflectance index (PRI) and chlorophyll fluorescence (F) offer a strong potential for monitoring photosynthesis at local, regional, and global scales, however the relationships between photosynthesis and solar induced F (SIF) on diurnal and seasonal scales are not fully understood. This study examines how the fine spatial and temporal scale SIF observations relate to leaf level chlorophyll fluorescence metrics (i.e., PSII yield, YII and electron transport rate, ETR), canopy gross primary productivity (GPP), and PRI. The results contribute to enhancing the understanding of how SIF can be used to monitor canopy photosynthesis. This effort captured the seasonal and diurnal variation in GPP, reflectance, F, and SIF in the O2A (SIFA) and O2B (SIFB) atmospheric bands for corn (Zea mays L.) at a study site in Greenbelt, MD. Positive linear relationships of SIF to canopy GPP and to leaf ETR were documented, corroborating published reports. Our findings demonstrate that canopy SIF metrics are able to capture the dynamics in photosynthesis at both leaf and canopy levels, and show that the relationship between GPP and SIF metrics differs depending on the light conditions (i.e., above or below saturation level for photosynthesis). The sum of SIFA and SIFB (SIFA+B), as well as the SIFA+B yield, captured the dynamics in GPP and light use efficiency, suggesting the importance of including SIFB in monitoring photosynthetic function. Further efforts are required to determine if these findings will scale successfully to airborne and satellite levels, and to document the effects of data uncertainties on the scaling.

Parkinson’s disease is a pervasive, ageing-related neurodegenerative disease the cardinal motor symptoms of which reflect the loss of a small group of neurons, the dopaminergic neurons in the substantia nigra pars compacta 1 (SNc). Mitochondrial oxidant stress is widely viewed as being responsible for this loss 2 , but why these particular neurons should be stressed is a mystery. Here we show, using transgenic mice that expressed a redox-sensitive variant of green fluorescent protein targeted to the mitochondrial matrix, that the engagement of plasma membrane L-type calcium channels during normal autonomous pacemaking created an oxidant stress that was specific to vulnerable SNc dopaminergic neurons. The oxidant stress engaged defences that induced transient, mild mitochondrial depolarization or uncoupling. The mild uncoupling was not affected by deletion of cyclophilin D, which is a component of the permeability transition pore, but was attenuated by genipin and purine nucleotides, which are antagonists of cloned uncoupling proteins. Knocking out DJ-1 (also known as PARK7 in humans and Park7 in mice), which is a gene associated with an early-onset form of Parkinson’s disease, downregulated the expression of two uncoupling proteins (UCP4 (SLC25A27) and UCP5 (SLC25A14)), compromised calcium-induced uncoupling and increased oxidation of matrix proteins specifically in SNc dopaminergic neurons. Because drugs approved for human use can antagonize calcium entry through L-type channels, these results point to a novel neuroprotective strategy for both idiopathic and familial forms of Parkinson’s disease.

DNA transfer by particle bombardment makes use of physical processes to achieve the transformation of crop plants. There is no dependence on bacteria, so the limitations inherent in organisms such as Agrobacterium tumefaciens do not apply. The absence of biological constraints, at least until DNA has entered the plant cell, means that particle bombardment is a versatile and effective transformation method, not limited by cell type, species or genotype. There are no intrinsic vector requirements so transgenes of any size and arrangement can be introduced, and multiple gene cotransformation is straightforward. The perceived disadvantages of particle bombardment compared to Agrobacterium-mediated transformation, i.e. the tendency to generate large transgene arrays containing rearranged and broken transgene copies, are not borne out by the recent detailed structural analysis of transgene loci produced by each of the methods. There is also little evidence for major differences in the levels of transgene instability and silencing when these transformation methods are compared in agriculturally important cereals and legumes, and other non-model systems. Indeed, a major advantage of particle bombardment is that the delivered DNA can be manipulated to influence the quality and structure of the resultant transgene loci. This has been demonstrated in recently reported strategies that favor the recovery of transgenic plants containing intact, single-copy integration events, and demonstrating high-level transgene expression. At the current time, particle bombardment is the most efficient way to achieve plastid transformation in plants and is the only method so far used to achieve mitochondrial transformation. In this review, we discuss recent data highlighting the positive impact of particle bombardment on the genetic transformation of plants, focusing on the fate of exogenous DNA, its organization and its expression in the plant cell. We also discuss some of the most important applications of this technology including the deployment of transgenic plants under field conditions.