Use and Impact of Electronic Journals among the Users of Periyar University in Salem, Tamilnadu, India

This study has made an attempt to examine the use and impact of electronic resources particularly electronic journals or e-journals among the user community of Periyar University at Salem. Periyar University Central Library subscribes a number of online journals to meet the information needs of its users such as faculty members, post graduate students and research scholars etc. The results showed that the maximum number of respondents was female with 58.33 percent whereas the minimum number of respondents was male. The highest number of age group is between 21-30 ages. The majority of users (40.38%) was postgraduate students and ranked first. Most of the respondents (47.44%) were preferred to access electronic journals whereas 19.87% of the respondents preferred print format, and 32.69% of the respondents preferred both forms of journals. It was found that the majority of respondents (40.39%) were using the central library to access online journals by weekly

Use and Impact of Electronic Journals among the Users of Periyar University in Salem, Tamilnadu, India

This study has made an attempt to examine the use and impact of electronic resources particularly electronic journals or e-journals among the user community of Periyar University at Salem. Periyar University Central Library subscribes a number of online journals to meet the information needs of its users such as faculty members, post graduate students and research scholars etc. The results showed that the maximum number of respondents was female with 58.33 percent whereas the minimum number of respondents was male. The highest number of age group is between 21-30 ages. The majority of users (40.38%) was postgraduate students and ranked first. Most of the respondents (47.44%) were preferred to access electronic journals whereas 19.87% of the respondents preferred print format, and 32.69% of the respondents preferred both forms of journals. It was found that the majority of respondents (40.39%) were using the central library to access online journals by weekly

Effect of Network Structure on Free Volume and Gas Transport Properties of Thiol-Ene and Epoxy-Amine Networks

Network parameters such as cross-link density or intermolecular interactions were used as effective parameters to control polymer chain packing or free volume and thereby control the mass transport properties of networks. A series of polyethylene glycol (PEG) based thiol-ene elastomeric networks having a broad range of molecular weight between cross-links, Mc, (inverse of cross-link density) was prepared. The specific volume of the networks was studied as a function of temperature and pressure using high pressure dilatometry, and the obtained PVT data was fit using Simha-Somcynsky equation of state (S-S eos) analysis. Fractional free volume, quantified through S-S eos analysis, changed linearly as a function of cross-link density of the networks proving that the system obeyed Fox and Loshaek model. Average free volume hole size, h\u3e, of the networks was directly probed using positron annihilation lifetime spectroscopy (PALS). h\u3e of the networks also changed linearly as a function of cross-link density. Typically, in traditional elastomers, changing cross-link density also causes simultaneous changes in chemical nature or polarity of the system, therefore those systems deviate from Fox and Loshaek model. Internal pressure Pi of the networks, calculated from PVT data, showed similar values for all networks, and the same was the case for storage permittivity values obtained from dielectric spectroscopy analysis. This proved that the chemical nature of the networks was unaffected and cross-link density was the only parameter controlling the free volume of the networks. Gas diffusivity of the networks obeyed Cohen Turnbull model, and thus the experimental gas diffusivity trends were modeled as a function of molecular weight between cross-links of the networks. The effect of intermolecular (repulsive) interactions on free volume and gas transport was studied in a series of perfluorinated thiol-ene elastomers. Perfluorinated thiol-ene elastomers were prepared via 2-step synthesis. In the first step, a four-functional thiol was converted into a three functional thiol containing a perfluorinated dangling moiety via Thio Michael addition reaction with a perfluorinated acrylate. The modified thiol monomer was then reacted with triene to obtain perfluorinated thiol-ene networks. Fluorine content was varied by changing the length of perfluorinated moiety used in Thio Michael addition and this enabled the synthesis of a series of perfluorinated networks containing perfluorinated dangling moieties of different lengths. Fast reaction kinetics of thiol-ene chemistry prevented the phase separation of perfluorinated moieties and locked-in the thermodynamically frustrated perfluorinated moieties within the thiol-ene scaffold. The repulsive interactions between highly non-polar perfluorinated moieties and polar thiol-ene backbone created huge free volume pockets in the network. For the biggest perfluorinated dangling moiety used in this study, h\u3e increased by four times in comparison to an unmodified network. The gas transport properties showed a significant improvement as a function of the length of the dangling moiety. But gas diffusivity of the networks did not obey Cohen Turnbull model. The deviation was explained by the static nature of free volume pockets around perfluorinated moieties, and percolation of free volume pockets as the sizes of free volume cavities increased. The 2-step synthetic approach was taken a step further to prepare a series of hybrid thiol-ene elastomers containing varying concentrations of polar PEG moieties and non-polar perfluorinated moieties. The effect of PEG and perfluorinated concentrations (or attractive and repulsive interactions) on chain packing was studied. PEG moieties improved CO2 gas permeability and selectivity because of the Lewis acid-base type interactions between PEG and CO2. In the final chapter, the effect of moisture sorption on free volume, oxygen, and water vapor transport was studied on five different epoxy-amine networks having Tgs in the range between -11 °C to 227 °C. Water sorption did not show any effect on h\u3e of elastomeric networks. Whereas, glassy networks showed a V-shaped trend when h\u3e was plotted as a function of relative humidity or water content. The decrease in h\u3e was due to water molecules filling free volume holes. Increasing water concentration in the networks beyond 75% relative humidity (RH) resulted in swelling of the networks and thereby h\u3e increase. Effect of water sorption on oxygen permeability of the glassy networks also showed a similar V-shaped trend, but the mechanism was more complex as water sorption affected both oxygen diffusivity and solubility. Water vapor permeability of the glassy networks was unaffected until 75% RH. Beyond 75% RH, free volume increase due to swelling resulted in water vapor permeability increase

A Proposed Framework for the Relationship between Emotional Intelligence and Employee’s Performance: Mediating Role of Job Demand

In the realm of employee performance, emotional intelligence (EI) plays a pivotal role. Research has consistently shown that EI is positively correlated with employee performance. It acts as a critical predictor, influencing how well employees perform in their roles. Emotional intelligence encompasses one's ability to perceive, express, understand, and manage emotions. When employees possess high EI, they are better equipped to navigate the challenges and dynamics of the workplace. As there are scarcity of research that explains the mechanism describing the EI-Employee’s Performance relationship, this study proposed the potential role of job demands as an important mediator in this relationship. Job demands include factors like workload, stress, and time pressures. Employees with high EI tend to handle these demands more effectively, leading to reduced stress and burnout consequently increasing job performance. In summary, emotional intelligence serves as a reliable predictor of employee performance and is crucial for maintaining a motivated and high-performing workforce, ultimately benefiting the organization as a whole

Coupling of mixed layer processes and thermocline variations in the Arabian Sea

This study presents an analysis of observed data sets from multiple sources, including observations from a network of Argo floats during (2002–2003), with the aim of investigating the role of the southwest monsoon circulation in affecting the interactions between the oceanic mixed layer and the underlying thermocline in the northern Indian Ocean. Examination of the seasonal cycle of the upper-ocean thermal structure shows that the surface cooling of the Arabian Sea, during the southwest monsoon season, is accompanied by significant warming of the thermocline. It is seen that the thermocline is warmer by about 1.2°C in the south-central Arabian Sea during the southwest monsoon season relative to other months. Offline computations of the profiles of vertical diffusivity of heat reveal stronger and deeper penetration of heat into the Arabian Sea during the southwest monsoon season. The results presented in the paper demonstrate that the combined effects of strong wind-driven mixing by the monsoonal winds, weak density stratification in the upper-ocean, and downwelling in south-central Arabian Sea, along with strong vertical diffusivity, favor downward transfer of warm waters from the surface into the thermocline. Besides the climatological seasonal cycle, the present study also examines the impact of monsoon interannual variability on the upper-ocean response, by analysis of long-term observed records during (1955–2001) as well as the Argo observations for (2002–2003). It is found that the interannual variations in the ocean response reveal signatures of the influence of strong and weak southwest monsoons on the mixed layer and thermocline variabilities

A randomized algorithm for large scale support vector learning

We propose a randomized algorithm for large scale SVM learning which solves the problem by iterating over random subsets of the data. Crucial to the algorithm for scalability is the size of the subsets chosen. In the context of text classification we show that, by using ideas from random projections, a sample size of O(log n) can be used to obtain a solution which is close to the optimal with a high probability. Experiments done on synthetic and real life data sets demonstrate that the algorithm scales up SVM learners, without loss in accuracy

Collaborative Innovation, Life Cycle Analysis and Network Optimisation – Essays on Food Supply Chain Sustainability

University of Technology Sydney. Faculty of Business.The food supply chain is characterised by long lead times for the production of agricultural products, seasonality in production and consumption, variation in quality and yield, special requirements for handling food products such as cold storage and perishable nature of food products – all of which make the management of the food supply chain complex and difficult. The presence of isolated and independent operations across the supply chain also hampers collaborative efforts and leads to economic inefficiencies and environmental degradation. This is further compounded by food waste across the different stages of the supply chain – from the early stages of harvesting to processing, packaging, handling, storage, distribution and consumption. Collectively these issues necessitate research on this area as a means for developing effective solutions that ensure the effective management of supply chain’s operations to meet the growing demand for food. Accordingly, this study makes knowledge contribution towards sustainable management literature by exploring how the collaborative arrangements among food supply chain entities result in innovative practices and yields sustainable outcomes, proposing a framework for redesigning the food supply chain network for environmental sustainability whilst considering all three dimensions of sustainability - economic, environmental and social and food waste valorization

Design of real time systems using object-oriented model

An analysis using the Object Oriented model for the design of real-time systems. Offers an application using a real-time object-oriented model known as TROM (Timed-Reactive Object Model

Augmentation of Acquired Defect of the Forehead with Subperiosteal Silicone Implant

normal, i.e. to look exceptional is also possible now due to availability of various surgical and nonsurgical methods available to common people to either remove signs of old age or toenhance the present appearance. The technology for these procedures like nose lifts, chin augmentation, wrinkle removal, breast enhancements, etc. has advanced in leaps and bounds. The positive side of such technology is its use in case of disfigurement due to trauma. When a person experiences trauma, the appearance may be compromised. But corrections of such disfigurement have become routine surgical practice. The use of hard and soft alloplastic materials is also very much the norm. The following case presentation is about a patient with a concave defect on his forehead. This concave defect was augmented with a preshaped silicone implant. This silicone was preshaped with reference to a contoured acrylic mold that was made on a facial moulage of the patient. As it was contoured on the moulage, it represented the exact need of the patient and hence the surgery was done just to place it subperiosteally. The result was a patient with minimal pain and less morbidity.&nbsp