Physical phenomena in containerless glass processing

Experiments were conducted on bubble migration in rotating liquid bodies contained in a sphere. Experiments were initiated on the migration of a drop in a slightly less dense continuous phase contained in a rotating sphere. A refined apparatus for the study of thermocapillar flow in a glass melt was built, and data were acquired on surface velocities in the melt. Similar data also were obtained from an ambient temperature fluid model. The data were analyzed and correlated with the aid of theory. Data were obtained on flow velocities in a pendant drop heated from above. The motion in this system was driven principally by thermocapillarity. An apparatus was designed for the study of volatilization from a glass melt

Analgesic and antipyretic effects of Sansevieria trifasciata leaves

The ethanol and water extracts of Sansevieria trifasciata leaves showed dose-dependent and significant (P < 0.05) increase in pain threshold in tail-immersion test. Moreover, both the extracts (100 – 200 mg/kg) exhibited a dose-dependent inhibition of writhing and also showed a significant (P < 0.001) inhibition of both phases of the formalin pain test. The ethanol extract (200 mg/kg) significantly (P < 0.01) reversed yeast-induced fever. Preliminary phytochemical screening of the extracts showed the presence of alkaloids, flavonoids, saponins, glycosides, terpenoids, tannins, proteins and carbohydrates.Keywords: Sansevieria trifasciata , Analgesic activity, Antipyretic activity

Talent flow analytics in online professional network

Singapore National Research Foundation under International Research Centres in Singapore Funding Initiativ

The Non-Destructive and Nano-Microstructural Characterization of Thermal-Barrier Coatings

The durability of thermal barrier coatings (TBCs) plays an important role in the service reliability and maintainability of hot-section components in advanced turbine engines for aerospace and utility applications. Photostimulated luminescence spectroscopy (PSLS) and electrochemical impedance spectroscopy (EIS) are being concurrently developed as complimentary nondestructive evaluation (NDE) techniques for quality control and liferemain assessment of TBCs. This paper discusses recent achievements in understanding the residual stress, phase constituents, and electrochemical resistance (or capacitance) of TBC constituents—with an emphasis on the thermally grown oxide. Results from NDE by PSLS and EIS are correlated to the nano- and microstructural development of TBCs

A Meta Model for Domestic Energy Consumption

Prediction of energy consumption particularly in micro level is of vital importance in terms of energy planning and also implementation of any Clean Development Mechanism (CDM) activities that has become the order of the world today. It may be difficult to model household energy consumption using conventional methods such as time series forecasting due to many influencing factors. This paper presents a step wise regression model for forecasting domestic energy consumption based on micro level household survey data collected from Kerala, a state in southern part of India. The analysis of the data reveals significant influence of socio-economic, demographic, geographic, and family attributes upon total household energy requirements. While a wide variation in the pattern of energy requirements across the domestic sector belonging to different expenditure classes, per capita income level can be identified as the most important explanatory variable influencing variation in energy requirements. The models developed also demonstrates the influence of per capita land area, residential area among the higher income group while average age and literacy forms significant variables among the lower income group. Keywords: Meta Model; Consumption Pattern; Domestic Energy Requirement JEL classifications: E2; Q

The Non-Destructive and Nano-Microstructural Characterization of Thermal-Barrier Coatings

The durability of thermal barrier coatings (TBCs) plays an important role in the service reliability and maintainability of hot-section components in advanced turbine engines for aerospace and utility applications. Photostimulated luminescence spectroscopy (PSLS) and electrochemical impedance spectroscopy (EIS) are being concurrently developed as complimentary nondestructive evaluation (NDE) techniques for quality control and liferemain assessment of TBCs. This paper discusses recent achievements in understanding the residual stress, phase constituents, and electrochemical resistance (or capacitance) of TBC constituents—with an emphasis on the thermally grown oxide. Results from NDE by PSLS and EIS are correlated to the nano- and microstructural development of TBCs

CDM as a Solution for the Present World Energy Problems (An Overview with Respect to the Building and Construction Sector)

One of the important responses of Kyoto Protocol towards mitigation of global warming is the Clean Development Mechanism (CDM), which has garnered large emphasis amidst the global carbon market in terms of Certified Emission Reductions (CERs). While CDM aims to achieve sustainable development in the energy production and its consumption in developing countries, the results achieved through its implementation are still uncertain. Presently, the domestic and commercial buildings are responsible for more than one third of the total conventional energy use and associated greenhouse gas emissions. The Inter-governmental Panel on Climate Change (IPCC) stated that, the building sector has the largest potential for significantly reducing greenhouse gas emissions. This paper envisages the important aspects such as, the non-inclusion of construction sector projects in CDM and its reasons, the role of energy efficiency buildings in the energy conservation arena and the new challenges being faced, while implementing the CDM portfolio in building energy sector

A Multipotent Progenitor Domain Guides Pancreatic Organogenesis

The mammalian pancreas is constructed during embryogenesis by multipotent progenitors, the identity and function of which remain poorly understood. We performed genome-wide transcription factor expression analysis of the developing pancreas to identify gene expression domains that may represent distinct progenitor cell populations. Five discrete domains were discovered. Genetic lineage-tracing experiments demonstrate that one specific domain, located at the tip of the branching pancreatic tree, contains multipotent progenitors that produce exocrine, endocrine, and duct cells in vivo. These multipotent progenitors are Pdx1+Ptf1a+cMycHighCpa1+ and negative for differentiated lineage markers. The outgrowth of multipotent tip cells leaves behind differentiated progeny that form the trunk of the branches. These findings define a multipotent compartment within the developing pancreas and suggest a model of how branching is coordinated with cell type specification. In addition, this comprehensive analysis of >1,100 transcription factors identified genes that are likely to control critical decisions in pancreas development and disease.Molecular and Cellular Biolog

Talent Flow Analytics in Online Professional Network

Analyzing job hopping behavior is important for understanding job preference and career progression of working individuals. When analyzed at the workforce population level, job hop analysis helps to gain insights of talent flow among different jobs and organizations. Traditionally, surveys are conducted on job seekers and employers to study job hop behavior. Beyond surveys, job hop behavior can also be studied in a highly scalable and timely manner using a data driven approach in response to fast-changing job landscape. Fortunately, the advent of online professional networks (OPNs) has made it possible to perform a large-scale analysis of talent flow. In this paper, we present a new data analytics framework to analyze the talent flow patterns of close to 1 million working professionals from three different countries/regions using their publicly-accessible profiles in an established OPN. As OPN data are originally generated for professional networking applications, our proposed framework re-purposes the same data for a different analytics task. Prior to performing job hop analysis, we devise a job title normalization procedure to mitigate the amount of noise in the OPN data. We then devise several metrics to measure the amount of work experience required to take up a job, to determine that existence duration of the job (also known as the job age), and the correlation between the above metric and propensity of hopping. We also study how job hop behavior is related to job promotion/demotion. Lastly, we perform connectivity analysis at job and organization levels to derive insights on talent flow as well as job and organizational competitiveness.Comment: arXiv admin note: extension of arXiv:1711.05887, Data Science and Engineering, 201