Government College

About: Government College is a based out in . It is known for research contribution in the topics: Population & Ring (chemistry). The organization has 4481 authors who have published 5986 publications receiving 57398 citations.

Tumor Necrosis Factor and Alzheimer's Disease: A Cause and Consequence Relationship

Abstract: ABS TRACT: Tumor necrosis factor and alzheimer’s disease: a cause and consequence relationship Tumor necrosis factor alpha (TNF) was discovered more than a century ago as endotoxin-induced glycoprotein, which causes haemorrhagic necrosis of sarcomas. Originally described as a circulating factor that causes necrosis of tumours,it now appears that TNF has diverse and critical roles to play in the pathogenic progression of a number of chronic inflammatory disorders, including rheumatoid arthritis, Crohn’s disease, psoriasis, Alzheimer’s disease, ischemic stroke, Parkinson’s disease, amyotrophic lateral sclerosis, and multiple sclerosis. A pivotal role has emerged for TNF as an important contributor to Alzheimer’s disease pathology, as TNF appears to modulate several neuropathological mechanisms in Alzheimer’s disease. Evidence for the involvement of TNF in Alzheimer’s disease pathology and neuronal loss comes from studies of TNF over-expression, TNF localization studies, multiple relationships between TNF and amyloid β-peptide (Aβ), interactions between TNF and the microtubule-associated tau protein, TNF-mediated apoptotic cell death, and association of TNF with several neurotransmitters linked to Alzheimer’s pathology. This review presents TNF as a neuromodulator in pathological progression of Alzheimer’s disease by linking it with several endogenous mediators and advocates its status as a current therapeutic target in the quest to find a cure for Alzheimer’s disease.

Development of 3-D Optimal Surface for Operation Policies of a Multireservoir in Fuzzy Environment Using Genetic Algorithm for River Basin Development and Management

Abstract: A Multi objective, Multireservoir operation model for maximization of irrigation releases and maximization of hydropower production is proposed using Genetic Algorithm. These objectives are fuzzified and are simultaneously maximized by defining and then maximizing level of satisfaction (λ). In the present study a multireservoir system in Godavari River sub basin in Maharashtra State, India is considered. Problem is formulated with four reservoirs and a barrage. A monthly Multi Objective Genetic Algorithm Fuzzy Optimization (MOGAFUOPT) model for the present study is developed in ‘C’ Language. The optimal operation policy for maximization of irrigation releases, maximization of hydropower production and maximization of level of satisfaction is presented for existing demand in command area. The entire range of optimal operation policies, for different levels of satisfaction i.e. λ (ranging from 0 to 1), are determined. From the relationships developed amongst irrigation releases, hydropower production and level of satisfaction, a three dimensional (3-D) surface covering the whole range of policies has been developed. This solution surface can be the basis for decision makers for implementing the policies. Considering the future requirements in the command area, both the irrigation and hydropower demands are increased by 10 and 20%. The optimal operation policy for maximization of irrigation releases, maximization of hydropower production and maximization of level of satisfaction is also presented for these cases. The 3-D solution surface is also developed in these cases.

Synthesis of carboxymethyl chitosan and coating on wound dressing gauze for wound healing.

Abstract: Wound healing is a long and complex process. To improve wound healing, the wound dressing cotton gauze can be functionalized by imparting moisture holding and antibacterial ability. Moisture is an important factor for wound healing and the absence of microbial intervention can accelerate wound healing process. Direct alkylation method was used to synthesis carboxymethylated chitosan with water solubility, biocompatibility and antibacterial activity. Calcium alginate was used along with modified chitosan as moisture gaining polymeric agent. Pad-dry-cure method was employed to coat both the polymers on cotton gauze surface, which was weaved using 40s Ne cotton yarn. After coating, the cotton was analysed for its polymer add-on percentage, antibacterial action against Staphylococcus aureus ATCC 6538 and Escherichia coli ATCC 10229. The persistence analysis of antibacterial activity ensures the polymer withstanding ability on cotton gauze surface. SEM detection of polymers with cotton threads confirms their presence. Wound healing action of the polymer coated cotton gauze was determined using albino rats as animal model.