Cooling is a major component in the enormous energy consumption in data centers. Accurate evaluation of cooling inside a data center forms the backbone of all the attempts for improving cooling efficiency. Models based on computational fluid dynamics (CFD) are typically used for accurate evaluation, but have a drawback of high computation time. This paper presents a novel thermal predictor to evaluate data center cooling in seconds. The key idea is to extract information from a single instance of CFD simulation using metrics called as influence indices to build the fast thermal predictor. Then, this predictor can evaluate the cooling for altered operation of data center with comparable accuracy in seconds without the need for repetitive CFD simulations. This paper demonstrates the accuracy of the thermal predictor by comparing with CFD simulations for a sample, but realistic data center. The fast thermal predictor then successfully passed more challenging tests in a real production data center and proved its practical utility. The results of the thermal predictor compared with measurements carried out in the production data center are also presented. This fast thermal predictor is an important milestone in the development of a method for model-based real time control of data center cooling.

Aim:The study aims to correlate salivary glucose, blood glucose levels and oral colony forming units of Candida albicans and to evaluate whether saliva can be used as noninvasive means to measure glycemic status in type II diabetics without the need for the invasive procedure. Materials and methods:The study included 100 type II diabetic patients (group I) of both genders with age 40 years and above and100 healthy patients (group II), age and sex matched with the study group. Group I includes uncontrolled and controlled diabetics as groups IA and IB, respectively. Salivary glucose measurement was done using the enzymatic colorimetric method and blood glucose levels measured by doing venepuncture and centrifuged. The oral candidal carriage was calculated by incubation in Sabouraud's dextrose agar supplemented with chloramphenicol and incubated aerobically for 48 hours. To compare the mean values Z test was applied. To determine the relationship between two variables Pearson's correlation coefficient was used. Results: The salivary glucose levels showed a significant correlation with blood glucose levels. The salivary candida carriage was higher in uncontrolled as compared to controlled diabetics and healthy individuals. Conclusion: Positive correlation was obtained between salivary glucose and blood glucose in diabetics and candidal carriage has a positive correlation with blood glucose levels. This salivary glucose and blood glucose levels correlation confirms its use to find glycemic status in diabetic patients. Clinical significance: The positive correlation of salivary glucose with blood glucose shows that it can be utilized as a noninvasive tool for monitoring glycemic status in diabetic patients.

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Laser technology is an important addition to both therapeutic and diagnostic modalities. It is a rapidly growing field and the surgeon must have thorough knowledge of the current literature and also of the advancements so as to perform the laser surgical procedures efficiently and effectively. The surgeon must also be aware of the benefits, safety and hazards of the lasers and must follow the safety guidelines. Advances in the laser systems make the procedures easier to perform. Incorporating the lasers in the oral and maxillofacial surgery practice has led to improvement in the patient care. In this article, we have summarized the application of lasers in the field of oral and maxillofacial surgery by review of literatures.