Ravi S. Srinivasan

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BACKGROUND Notch signaling is active in mouse cochlear prosensory progenitors but declines in differentiating sensory hair cells (HCs). Overactivation of the Notch1 intracellular domain (NICD) in progenitors blocks HC fate commitment and/or differentiation. However, it is not known whether reactivation of NICD in differentiating HCs also interrupts their(More)
BACKGROUND Lymph node metastasis constitutes a key event in tumor progression. The molecular control of this process is poorly understood. Heparan sulfate is a linear polysaccharide consisting of unique sulfate-modified disaccharide repeats that allow the glycan to bind a variety of proteins, including chemokines. While some chemokines may drive lymphatic(More)
Approaching a Net Zero Energy (NZE) building goal based on current definitions is flawed for two principal reasons -- they only deal with energy quantities required for operations, and they do not establish a threshold, which ensures that buildings are optimized for reduced consumption before renewable systems are integrated to obtain an energy balance.(More)
Past and ongoing research efforts toward seamless integration of building design and analysis have established a strong foothold in the building community. Yet, there is lack of seamless connectivity between Building Information Modeling (BIM) and building performance tools. D-BIM Workbench provides an essential framework to conduct integrated building(More)
The primary objective of this research is to develop surface models of machining processes to simulate machined surface prooles and analyze their structure. In this paper, fractal analysis is used to discover and characterize the variational pattern of turned surfaces. This analysis provides a means of explicitly stating the precision of a machining(More)
In recent years, a new generation of power grid system, referred to as the Smart Grid, with an aim of managing electricity demand in a sustainable, reliable, and economical manner has emerged. With greater knowledge of operational characteristics of individual appliances, necessary automation control strategies can be developed in the Smart Grid to operate(More)
Increased focus on energy cost savings and carbon footprint reduction efforts improved the visibility of building energy simulation, which became a mandatory requirement of several building rating systems. Despite developments in building energy simulation algorithms and user interfaces, there are some major challenges associated with building energy(More)
1.0 ABSTRACT Dynamic data visualization in real-time involves rapid simulations of computerized models. Although computing power has increased exponentially in the last few decades, detailed simulations using software introduce time-delay that defeat the notion of real-time data visualization of the generated results. Approximate techniques can pave way for(More)
Building energy usage prediction plays an important role in building energy management and conservation. Building energy prediction contributes significantly in global energy saving as it can help us to evaluate the building energy efficiency; to conduct building commissioning; and detect and diagnose building system faults. AI based methods are popular(More)