Jodhpur National University

About: Jodhpur National University is a education organization based out in Jodhpur, India. It is known for research contribution in the topics: Transdermal & Self-healing hydrogels. The organization has 160 authors who have published 216 publications receiving 2381 citations.

A review on facial neuralgias

Abstract: Facial neuralgias are produced by a change in neurological structure or function. This type of neuropathic pain affects the mental health as well as quality of life of patients. There are different types of neuralgias affecting the oral and maxillofacial region. These unusual pains are linked to some possible mechanisms. Various diagnostic tests are done to diagnose the proper cause of facial neuralgia and according to it the medical and surgical treatment is done to provide relief to patient.

Cloud computing in small and medium sized enterprises: an architectural model

Abstract: Indian small and medium enterprises (SME) are the life line of its economy. To improve overall business performance and to face global competition SMEs must adopt information system. Presently, an information system is required that incorporates cloud computing. Cloud computing provides very economical web infrastructure and scalable business solutions. Indian SMEs are yet to reap the benefits of cloud computing. According to the survey results presented in this study the major reasons for non-adoptions includes absence of structure of information system and various security concerns. This paper on the basis of survey and literature review presents a structure and steps to implement cloud computing in SMEs. The proposed architecture will not only provide vital information about cloud structure for SMEs but also suggest a roadmap for implementation of the structure.

Effect of various penetration enhancers on permeation kinetic of itraconazole for the topical drug delivery system

Abstract: Itraconazole (ITZ) is a synthetic triazole antifungal agent having topical and systemic efficacy against familiar fungi such as Aspergillus and other filamentous fungi. The difficulties of ITZ with oral administration like dissolution rate limited absorption and gastric side effects can be overcome by formulating it in topical system. The aim of the this study was to evaluate the effect of various penetration enhancers on permeation kinetic of ITZ using Franz diffusion cell through pretreated cellophane membrane for topical system. Various permeability parameters like steady state flux, permeability coefficient and enhancement ratio were calculated. The permeation rate of pure ITZ was found to be 33.27 µg/cm2/hr. All penetration enhancers (except cyclodextrin) showed 1 to 2 times enhancement ratio. The inclusion complex of the ITZ showed best drug permeation rate (452.20 µg/cm2/hr). It was concluded that ITZ inclusion complex with HPβCD is the best way of enhancing the permeation of drug through cellophane membrane for transdermal system.

Salivary glands - an overview

Abstract: The glands are divided into major and minor salivary gland categories. The major salivary glands are parotid, submandibular and sublingual glands. The minor glands are dispersed throughout the upper aero-digestive submucosa. Saliva is the watery substance produced in the mouths of humans and other animals . Saliva is a component of oral fluid . Human saliva is composed of 98% water , while the other 2% consists of other compounds such as electrolytes , mucus , antibacterial compounds and various enzymes . A review of some patents on salivary glands is also provided that summarizes the recent technical advancements taken place in this area.

Ultra Sapient Inference Engine

Abstract: This paper models a futuristic vision towards developing an Ultra Sapient Inference Engine (USIE) in Computer Science. Humans are considered as the most Sapient living creatures on Earth and have been named Homo-Sapiens scientifically. Bayesian models have been considered naturally appealing for quantifying relevance in intelligent inference along with the usage of probability theory & its main streams [1]. We shall also draw our paper from various fields in artificial Intelligence, perspicacious learning systems, neural networks, expert system and management Science as primal tools to develop USIE. Humans have a limited amount of attention to pay while inferring a solution collectively. It takes decades by scientists to diagnose & come up with epistemological solution for a scientific mystery. However if we are able to automate intelligent inference, it is ought to save considerable amount of time along with accurate results. We can say that cognitive style of humans will be morphed in this engine, with a difference that computers don't make mistakes until told to. The greatest challenge is to diagnose selection of rulings to be used during a collective inference and apply versatile decision process. The main contribution of this paper is towards developing a technical vision for USIE.