Usage, Utilization, Usefulness (U3 Model) and Challenges Faced in Social Networking Sites by Academicians

The study aims to determine if academicians from professional colleges use SNS  to determine an association between demographic variables and factors. Variables and factors such as the purpose of SNS use, benefits of using SNS, improvement in factors of academic performance, challenges faced by academicians, and benefits of SNS in research work. The research method has used a survey with a questionnaire. The questionnaires were distributed to the academicians in selected professional colleges in and around Pune city, and responses were collected. The study observed that most faculties from professional colleges have accounts and are familiar with different SNS. It gives the ranking of SNS by Garrett’s Ranking Technique as per the personal and academic use of SNS by academicians. Academicians get various benefits from using SNS, whereas they also face some challenges while using SNS. It is discussed with percentage analysis. Using ANOVA and PAIRED SAMPLE “t” TEST found a significant association between the Demographic variables and the factors under usage of Social Networking Sites. The factors especially considered towards satisfaction using Social Networking Sites by the academicians were analyzed using multiple regression analysis.https://dorl.net/dor/20.1001.1.20088302.2021.19.2.10.

Microwave-Assisted Extraction of Rare Earth Elements from Petroleum Refining Catalysts and Ambient Fine Aerosols Prior to Inductively Coupled Plasma - Mass Spectrometry

In the absence of a certified reference material, a robust microwave-assisted acid digestion procedure followed by inductively coupled plasma - mass spectrometry (ICP-MS) was developed to quantify rare earth elements (REEs) in fluidized-bed catalytic cracking (FCC) catalysts and atmospheric fine particulate matter (PM2.5). High temperature (200 C), high pressure (200 psig), acid digestion (HNO3, HF, and H3BO3) with 20 minute dwell time effectively solubilized REEs from six fresh catalysts, a spent catalyst, and PM2.5. This method was also employed to measure 27 non-REEs including Na, Mg, Al, Si, K, Sc, Ti, V, Cr, Mn, Fe, Co, Ni, Cu, Zn, Ga, As, Se, Rb, Sr, Zr, Mo, Cd, Cs, Ba, Pb, and U. Complete extraction of several REEs (Y, La, Ce, Pr, Nd, Tb, Dy, and Er) required HF indicating that they were closely associated with the aluminosilicate structure of the zeolite FCC catalysts. Internal standardization using 115In quantitatively corrected non-spectral interferences in the catalyst digestate matrix. Inter-laboratory comparison using ICP-optical emission spectroscopy (ICP-OES) and instrumental neutron activation analysis (INAA) demonstrated the applicability of the newly developed analytical method for accurate analysis of REEs in FCC catalysts. The method developed for FCC catalysts was also successfully implemented to measure trace to ultra-trace concentrations of La, Ce, Pr, Nd, Sm, Gd, Eu, and Dy in ambient PM2.5 in an industrial area of Houston, TX

Effects of Aircraft Health on Airspace Safety

This manuscript investigates the effects of aircraft health on the surrounding airspace, and proposes a methodology to understand how different aircraft-level faults (system faults, communication faults, etc.) can adversely affect the safety of the airspace, and qualitatively assess the impact of such faults on airspace safety metrics (such as congestion, controller/pilot workload, etc.). The topic of systems health management deals with continuously monitoring the performance of an engineering system, identifying and detecting the presence of faults, predicting the growth/progression of faults, computing the remaining useful life, and aiding online decision-making for the robust, continued operation of such engineering systems. The topic of real-time airspace modeling and safety analysis deals with defining and computing safety metrics for airspace operations in order to support risk-informed decision-making activities for various airspace entities including pilots, air traffic controllers, airlines, etc. This report presents recent research efforts that focus on combining multiple aspects of the aforementioned topics, and investigates the impact of aircraft-level faults on the airspace safet

Towards Dynamic Causal Discovery with Rare Events: A Nonparametric Conditional Independence Test

Causal phenomena associated with rare events occur across a wide range of engineering problems, such as risk-sensitive safety analysis, accident analysis and prevention, and extreme value theory. However, current methods for causal discovery are often unable to uncover causal links, between random variables in a dynamic setting, that manifest only when the variables first experience low-probability realizations. To address this issue, we introduce a novel statistical independence test on data collected from time-invariant dynamical systems in which rare but consequential events occur. In particular, we exploit the time-invariance of the underlying data to construct a superimposed dataset of the system state before rare events happen at different timesteps. We then design a conditional independence test on the reorganized data. We provide non-asymptotic sample complexity bounds for the consistency of our method, and validate its performance across various simulated and real-world datasets, including incident data collected from the Caltrans Performance Measurement System (PeMS). Code containing the datasets and experiments is publicly available

Research Publication Trends in Indian LIS Journals: A Scientometric Study

This paper explores the Scientometric analysis of three reputed library and information science journals published from India such as Annals of Library and information studies (ALIS), SRELS Journal of Information Management and DESIDOC Journal of Library & Information Technology (DJLIT). Total 673 articles published during 2015 to 2019 are analysed by applying Scientometric parameters such as year-wise distribution of articles, authorship pattern, degree of collaboration, relative growth rate , doubling time and productivity trends using Lotka’s etc. Study revealed that the Degree of Collaboration was quite high i.e. 463 (0.69) in terms of collaborators contribution and the value of the relative growth rates (RGR) has decreased from 2015 (0.67) to 2019 (0.19) in the span of five years. The doubling time (DT) value has found increased from 1.03 to 3.64 in the respective years

Research Publication Trends in Indian LIS Journals: A Scientometric Study

The present paper explores the Scientometric analysis of the three reputed and highly circulated Indian Library and Information Science (LIS) journals during last five years i.e. from 2015 to 2019.Total 673 articles published in scope period are analysed by applying various parameters like year-wise distribution of articles, authorship pattern and degree of collaboration, relative growth rate and doubling time, Productivity trends with Lotka’s Law and other parameters of Bibliographic Analysis. The study revealed that the Degree of Collaboration was quite high i.e. 463 (0.69) in terms of collaborators contribution. The study revealed that value of the relative growth rates (RGR) has decreased from 2015 (0.67) to 2019 (0.19) in the span of five years. The doubling time (DT) value has found increased from 1.03 to 3.64 in the respective years

Fox’s Head or Lion’s Tail? Work Life Balance of Women Entrepreneurs in Agriculture and farm Ventures and its Antecedent Effect on Quality of Life

Purpose: The objective of this study was to identify the factors that influence work life balance of women entrepreneurs in the field of agriculture and allied products and how the family demands affect their work-life balance. Further, the paper explores the conflict between parental demand and running a business.   Theoretical framework: Literature review points out that despite, an increase in the number of women entrepreneurs over the years, according to the (Global entrepreneurship monitor report, 2020), fewer women pursue entrepreneurship due to various challenges of managing personal and business responsibilities and striking the right balance. Work-life balance is frequently examined in the context of human resource management (Etienne St-Jean and Duhamel M.,2020)but not much has been explored in an entreprenurial context.Hence this study is to investigate and understand the influence of various factors affecting work life balance from an entrepreneurial standpoint.   Design/methodology/approach: Triangulation method was used for the study by utilizing both quantitative and qualitative data. The researchers developed a questionnaire to measure work-life balance experienced by women entrepreneurs with 12 independent variables to measure the dependent variable work-life balance.The sample consisted of 450 women agripreneurs   Findings: The findings reveal that the age of the children is a major determinant of the extent of parental demand a woman goes through in her life and family support systems are critical in reducing overlap and conflict between the life domains. A positive spillover between the domains significantly enhances quality of life of women entrepreneurs.   Research, Practical & Social implications: We suggest a future research into other Personality traits and macro environmental factors which can have a bearing on work life balance of women entrepreneurs which would enable an inclusive entrepreneurial ecosystem.   Originality/value: The researchers have concluded that positive spillover between the domains significantly enhances quality of life of women entrepreneurs

Non-monotonic size dependence of the elastic modulus of nanocrystalline ZnO embedded in a nanocrystalline silver matrix

We present the first high pressure Raman study on nanocrystalline ZnO films with different average crystallite sizes. The problem of low Raman signals from nano sized particles was overcome by forming a nanocomposite of Ag and ZnO nanoparticles. The presence of the nanodispersed Ag particles leads to a substantial surface enhancement of the Raman signal from ZnO. We find that the elastic modulus of nanocrystalline ZnO shows a non-monotonic dependence on the crystallite size. We suggest that the non-monotonicity arises from an interplay between the elastic properties of the individual grains and the intergranular region.Comment: 10 pages, 6 figure

An Innovative Multiple Attribute Based Distributed Clustering with Sleep/Wake Scheduling Mechanism for WSN

Wireless sensor network is a dynamic field of networking and communication because of its increasing demand in critical Industrial and Robotics applications. Clustering is the technique mainly used in the WSN to deal with large load density for efficient energy conservation. Formation of number of duplicate clusters in the clustering algorithm decreases the throughput and network lifetime of WSN. To deal with this problem, advance distributive energy-efficient adaptive clustering protocol with sleep/wake scheduling algorithm (DEACP-S/W) for the selection of optimal cluster head is presented in this paper. The presented sleep/wake cluster head scheduling along with distributive adaptive clustering protocol helps in reducing the transmission delay by properly balancing of load among nodes. The performance of algorithm is evaluated on the basis of network lifetime, throughput, average residual energy, packet delivered to the base station (BS) and CH of nodes. The results are compared with standard LEACH and DEACP protocols and it is observed that the proposed protocol performs better than existing algorithms. Throughput is improved by 8.1% over LEACH and by 2.7% over DEACP. Average residual energy is increased by 6.4% over LEACH and by 4% over DEACP. Also, the network is operable for nearly 33% more rounds compared to these reference algorithms which ultimately results in increasing lifetime of the Wireless Sensor Network

Dynamic Routing of Aircraft in the Presence of Adverse Weather Using a POMDP Framework

Each year weather-related airline delays result in hundreds of millions of dollars in additional fuel burn, maintenance, and lost revenue, not to mention passenger inconvenience. The current approaches for aircraft route planning in the presence of adverse weather still mainly rely on deterministic methods. In contrast, this work aims to deal with the problem using a Partially Observable Markov Decision Processes (POMDPs) framework, which allows for reasoning over uncertainty (including uncertainty in weather evolution over time) and results in solutions that are more robust to disruptions. The POMDP-based decision support system is demonstrated on several scenarios involving convective weather cells and is benchmarked against a deterministic planning system with functionality similar to those currently in use or under development