Serum CRP and uric acid levels were estimated in twenty-five patients with psoriasis (group III) before and after 12 weeks of treatment. Results were compared with a group of 25 normal subjects (group I) and a group of 25 patients of various skin diseases other than psoriatic lesion (group II). Mean value for CRP was found to be increased by more than 20 folds in patients with psoriasis, which was subsequently reduced to nearly 50% of the initial value after 12 weeks of treatment. These patients also showed hyperuricemia. Nearly 25% of these patients also exhibited arthritis. It is thus suggested that both CRP and uric acid levels should be monitored in patients with psoriasis.
Solid lipid nanoparticles (SLNs) have emerged as an excellent substitute over polymeric nanoparticles and, when incorporated with chitosan which activates the macrophage to impart an immune response, produce excellent results to fight against deleterious diseases like leishmaniasis where its parasite diminishes the immunity of the host to induce resistance. Based upon this hypothesis, chitosan-coated SLNs were developed and loaded with amphotericin B (AmB) for immunoadjuvant chemotherapy of Leishmania infection. Both uncoated and chitosan-coated AmB-loaded SLNs (AmB-SLNs) were fabricated using solvent emulsification and evaporation method. The various processes and formulation parameters involved in AmB-SLN preparation were optimized with respect to particle size and stability of the particles. In vitro hemolytic test credited the formulations to be safe when injected in the veins. The cellular uptake analysis demonstrated that the chitosan-coated AmB-SLN was more efficiently internalized into the J774A.1 cells. The in vitro antileishmanial activity revealed their high potency against Leishmania-infected cells in which chitosan-coated AmB-SLNs were distinguishedly efficacious over commercial formulations (AmBisome and Fungizone). An in vitro cytokine estimation study revealed that chitosan-coated AmB-SLNs activated the macrophages to impart a specific immune response through enhanced production of TNF-α and IL-12 with respect to normal control. Furthermore, cytotoxic studies in macrophages and acute toxicity studies in mice evidenced the better safety profile of developed formulation in comparison to marketed formulations. This study indicates that the AmB-SLNs are a safe and efficacious drug delivery system which promises strong competence in antileishmanial chemotherapy and immunotherapy.
To increase the manufacturing flexibility, manufacturing organizations are looking at flexible manufacturing system (FMS) as a viable alternative to enhance their competitive edge. There are, however, some factors which affect the flexibility of FMS. Fifteen factors are identified from the literature and found their evaluation by interpretive structural modeling (ISM), exploratory factor analysis, confirmatory factor analysis and graph theory matrix approach. But, Interpretation of the mutual relationship of factors is comparatively weak in ISM. Thus, an upgraded version of ISM i.e. Total interpretive structural modeling (TISM) methodology is used to develop the model and the mutual relationship of factors is identified in the TISM. This paper is an application of TISM to interpret the mutual relationship with the ISM using the tool of interpretive matrix and leads to evolving the framework and find out driving and the dependence power of factors, using fuzzy MICMAC analysis. The result shows that use of reconfigurable machine tool, automation and flexible fixturing have strong driving power and weak dependence power and are at the lowest levels in hierarchy in the TISM model. Hence, superior performance of FMS can be achieved by improving the driving factors of flexibility.
PurposeThe vision of Industry 4.0 concept is to create smart factories that will change the current processes of production and manufacturing system using smart machines to produce smart and intelligent products. The main aim of this research is to explore the enablers with regard to Industry 4.0 application in manufacturing industry in India as the available literature shows that manufacturing sector is still doubtful about the implementation of Industry 4.0.Design/methodology/approachSeventeen enablers that can affect the adoption of Industry 4.0 in the manufacturing industry in India have been explored through an extensive review of available literature and viewpoints of industry and academic experts. Total Interpretive Structural Modelling methodology (TISM) has been used to evaluate the interrelationships among these factors. A TISM model has been developed to extract the key enablers influencing Industry 4.0 adoption.FindingsThe result shows that Internet facility from government at reduced price, financial support and continued specialized skills training are the major enablers as they have strong driving power.Practical implicationsProper understanding of these enablers will help the managers and policymakers to explore the impact of each enabler on other enablers as well as the degree of relationships among them and to take concrete steps so that Industry 4.0 can be implemented successfully in the manufacturing sector in India.Originality/valueThis study is pioneer in exploring the enablers Industry 4.0 which is the most advanced concept that has the capability to change the future of Indian manufacturing sector if implemented judiciously and cautiously.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.