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Molecular simulations to investigate the guest-induced flexibility of Pu-UiO-66 MOF
Actinide metal-organic frameworks are highly popular because of their significant coordination benefits. Due to production and characterisation challenges, An-MOFs are a relatively less explored coordination polymer. In this study, we considered the experimentally synthesised Pu-UiO-66 MOF, which was the first reported plutonium MOF. In most MOF studies, the framework has been maintained rigid, however, in this case, we investigate both rigid and flexible frameworks. To gain a better understanding of the framework's flexibility, flexible Grand Canonical Monte Carlo (GCMC) simulations were conducted and the calculated results were compared with that of rigid frameworks. Molecular Dynamics (MD) simulations were carried out to examine the effects of framework flexibility of Pu-UiO-66 MOF, a force field-built Grand Canonical Monte Carlo (GCMC) on adsorption of guest molecules, and to analyse the self-diffusion coefficients of acidic gases such as CO2, SO2, and NO2 in the framework. The adsorption isotherms and radial distribution functions for both rigid and flexible frameworks in the presence of gas molecules were compared and analysed using GCMC simulation. Similarly, molecular dynamics simulations including guest molecules were carried out. Following that, the GCMC and MD results were compared and analysed to determine the flexibility of the system. Diffusion studies were conducted at various temperatures and the coefficient of self-diffusion of each gas was examined. In addition, structural analyses, such as angle analysis, were carried out to explore the local changes, such as tilting, observed in the organic ligand derivative. It was also shown that the UFF force field is suitable for Pu-UiO-66. 2022 -
Dynamics of Sustainable Economic Growth in Emerging Middle Power Economies: Does Institutional Quality Matter?
The present study investigates the relevance of Institutional structures quality as a determinant of the GDP of the Emerging Middle Power Economies (MIKTA) which constitute predominantly middle-income countries, namely Mexico, South Korea, Indonesia, Turkey, and Australia over the timeframe of 19852016. In addition to institutional variables such as Government Stability, Bureaucratic Quality and Socioeconomic Conditions, the study uses productive factors (per worker capital, human capital) and a macroeconomic indicator (inflation) to show the GDP of the above-mentioned countries. The impact that institutional variables taken have on Efficient Environmental resources, Sustainability and their management has shown to have an impact on the rate of growth of the middle-income economies. To estimate a long-run relation, the study employs the Autoregressive Distributed Lag model, also known as the ARDL model, bringing in controls for cointegration, nonstationary, heterogeneity and cross-sectional dependency and accounts for a mixed order of integration of variables. The model indicates that capital per worker, socio-economic conditions, bureaucratic quality, human capital and inflation have a long-run effect on the GDP of a country. The paper concludes with a positive impact of institutional variables during both, the short-run and the long-run, for the de-pendent variable. The Author(s), under exclusive license to Springer Nature Switzerland AG. 2024. -
Prediction of Rainfall Using Seasonal Auto Regressive Integrated Moving Average and Transductive Long Short-Term Model
One of the most crucial parts of the practical application in recent years has been the analysis of time series data for forecasting. Because of the extreme climate variations, it is now harder than ever to estimate rainfall accurately. It is possible to forecast rainfall using a number of time series models that uncover hidden patterns in past meteorological data. Choosing the right Time Series Analysis Models for predicting is a challenging task. This study suggests using a Seasonal Auto Regressive Integrated Moving Average (SARIMA) to forecast values that are similar to historical values that exhibit seasonal patterns. Twelve years of historical weather data for the city of Lahore (from 2005 to 2017) and Blora Regency are taken into account for the prediction. The dataset underwent pre-processing operations like cleaning and normalisation before to the classification procedure. For classification, Transductive Long Short-Term Model (TLSTM) is employed which has learned the dependency values where the memory blocks are recurring and capable of learning long-term dependencies on this model. Further, TLSTM's goal is to increase accuracy close to the test point, where test points are selected as a validation group. The performance of the models has been assessed based on accuracy (99%), precision (98%), recall (96%) and fl-score (98%). Proposed SARIMA model showed optimistic results when compared to existing models. 2023 IEEE. -
Testing The Causal Link Between Perceived Fee Fairness and Student Loyalty-Empirical Assessment in the Context of Service Marketing in Higher Education
Journal of Global Management Outlook, Vol-1 (5), pp. 43-55. ISSN-2277-3789 -
Empirical analysis of antecedents and mediators of student loyalty among undergraduate business students in Bangalore, India
The higher education sector has undergone major changes throughout India which has led to increase in competition for institutions in this sector. Thus, there is a need to find ways to attract and retain the potential and current students. Student loyalty is crucial to create sustainable competitive advantage. Student loyalty is widely accepted as a critical factor in the long term economic success of an educational institution that aims at positive recommendation (word of mouth) by students and attracting the students back to the institution for further studies. Review of literature reveals that service quality, price fairness, customer value, customer satisfaction and affective commitment are key antecedents to customer loyalty. -
Empirical Analysis of Antecedents and Mediators of Student Loyalty Among Undergraduate Business Students in Bangalore,India
The higher education sector has undergone major changes throughout India which has led to increase in competition for institutions in this sector. Thus, there is a need to find ways to attract and retain the potential and current students. Student loyalty is crucial to createsustainable competitive advantage. Student loyalty is widely accepted as a critical factor in the long term economic success of an educational institution that aims at positive recommendation (word of mouth) by students and attracting the students back to newlinethe institution for further studies. Review of literature reveals that service quality, price fairness, customer value, customer satisfaction and affective commitment are key newlineantecedents to customer loyalty. newlineObjectives - The objectives of this research study are based on theoretical underpinnings in the literature. The main objectives of the study are: 1. To empirically test the proposed structural model of relationships among six constructs: educational service quality, perceived fee fairness, perceived value, student satisfaction, affective commitment, and student loyalty in the undergraduate business programs. 2. To analyze the influence of educational service quality and perceived fairness on student loyalty (ultimate dependent variable). 3. To examine the mediating effect of perceived value, student satisfaction, and affective newlinecommitment on the relationship between educational service quality and student loyalty. 4. To find out the mediating effect of perceived value and student satisfaction on the relationship between perceived fee fairness and student loyalty. 5. To find out the perceptual dimensions of student assessments of educational service quality, fee fairness, value, satisfaction, commitment and student loyalty. Variables of the Study newline1. Educational Service Quality Independent Variable (Exogenous variable) 2. Perceived Fee Fairness Independent Variable (Exogenous variable) 3. Perceived Value Mediating variable (Endogenous Variable) -
An Efficient Approach for Obstacle Avoidance and Navigation in Robots
Reinforcement learning has emerged as a prominent technique for enhancing robot obstacle avoidance capabilities in recent years. This research provides a comprehensive overview of reinforcement learning methods, focusing on Bayesian, static, dynamic policy, Deep Q-Learning (DQN) and extended dynamic policy algorithms. In the context of robot obstacle avoidance, these algorithms enable an agent to interact with its physical environment, learns effective operating strategies, and optimize actions to maximize a reward signal. The environment typically consists of a physical space that the robot must navigate without encountering obstacles. The reward signal serves as an objective measure of the robot's performance towards accomplishing specific goals, such as reaching designated positions or completing tasks. Furthermore, successful obstacle avoidance strategies acquired in simulation environments can be seamlessly transferred to real-world scenarios. The promising results achieved thus far indicate the potential of reinforcement learning as a powerful tool for enhancing robot obstacle avoidance. This research concludes with insights into the future prospects of reward learning, high-lighting its ongoing importance in the development of intelligent robotics systems. The proposed algorithm DQN outperforms well among all the other algorithms with an accuracy of 81%, Through this research, we aim to provide valuable insights and directions for further advancements in the field of robot obstacle avoidance using reinforcement learning techniques. 2023 IEEE. -
The interval valued fuzzy graph associated with a Crisp graph
We define the interval valued fuzzy graph (IVFG) associated with a crisp graph based on the degrees of the nodes of the crisp graph and study its various properties. The nature of arcs of the IVFG associated with a crisp graph can be determined if the adjacency matrix of the crisp graph is given. We show that the IVFG associated with a regular graph is regular, totally regular, edge regular and totally edge regular, but the IVFG associated with a complete graph is not a complete IVFG. We prove that the IVFG associated with Cn, n ? 3 is an interval valued fuzzy cycle and the IVFG associated with the wheel graph Wn, n ? 5 is an interval valued fuzzy tree. 2021 Forum-Editrice Universitaria Udinese SRL. All rights reserved. -
Strongly connected interval-valued fuzzy graphs
In interval-valued fuzzy graphs (IVFGs) strong paths need not exist between every two nodes in contrast with fuzzy graphs. Based on this, we define a particular class of interval-valued fuzzy graphs called strongly connected interval valued fuzzy graphs (SCIVFGs). A connected IVFG in which a strong path always exists between every two nodes is called a SCIVFG. We prove several sufficient conditions for an IVFG to be strongly connected. Finally we show that strong connectedness is preserved under isomorphism and co-weak isomorphism. 2020, Research Publication. All rights reserved. -
Interval-Valued Fuzzy Trees and Cycles
Interval-valued fuzzy tree (IVFT) and interval-valued fuzzy cycle (IVFC) are defined in this chapter. We characterize interval-valued fuzzy trees. We also prove that if G is an IVFG whose underlying crisp graph is not a tree then G is an IVFT if and only if G contains only ? strong arcs and weak arcs. It is shown that an IVFG G whose underlying crisp graph is a cycle is an IVFC if and only if G has at least two ? strong arcs. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
On the Laplacian energy of interval valued fuzzy graphs
Interval valued fuzzy Laplacian matrix (IVFLM) associated with an interval valued fuzzy graph (IVFG) is studied in this paper. We define spectrum, energy, Laplacian spectrum and Laplacian energy and obtain some bounds for energy and Laplacian energy. 2020 Author(s). -
On interval valued fuzzy graphs associated with a finite group
We associate a particular type of interval-valued fuzzy graph(IVFG) called interval-valued fuzzy identity graph(IVFIG) with every finite group and study its various properties. We show that IVFIG associated with a finite group is not unique. We also show that every IVFIG associated with a finite group is a strong IVFG. It does not contain any feeble or weak arcs. Further, it is strongly connected. We prove that the IVFIG associated with a finite group in which every element is self inversed is an interval-valued fuzzy tree and the IVFIG of Zn (n is odd) under addition modulo n is the disjoint union of interval-valued fuzzy cycles. 2020 Author(s). -
Characterization of interval-valued fuzzy bridges and cutnodes
In this paper, we characterize interval - valued fuzzy bridges and interval-valued fuzzy cutnodes in terms of ? strong arcs. We discuss about the behaviour of arcs in a strongest path of an interval - valued fuzzy graph. An example is provided to prove that strongest paths are not in general related to strong paths in an interval - valued fuzzy graph. Finally we give a particular condition under which strong paths and strongest paths are equivalent. 2019 Author(s). -
Electrochemical Sensing of Formaldehyde in Fish Samples Using a Polydopamine-Modified Stainless Steel Electrode
Electrodeposited polydopamine (pDA) on a stainless steel substrate was developed for electrochemical sensing of formaldehyde in fish samples. Experimental conditions such as influence of scan rate, pH, and concentration were optimized. The pDA modified electrode was sensitive enough to detect formaldehyde at a potential of 0.8 V in an acidic aqueous solution. The lLinear dynamic range for the detection of formaldehyde was in the range of 0.43 to 1.60 ?m under optimal conditions. The detection and quantitation limits were found to be 0.14 and 0.43 ?m respectively. The method was effectively employed for the detection of formaldehyde in fish samples. 2021 The Electrochemical Society ("ECS"). Published on behalf of ECS by IOP Publishing Limited. -
Strategizing Talent Acquisition for Fostering Future Workforce Success: Addressing Millennial Turnover and Hiring Challenges in a Rapidly Evolving Business Landscape
Rapid technical breakthroughs and a competitive labor market characterize today's business prospects, emphasizing the need for successful recruitment and talent acquisition. Preparing for your company's future workforce entails evaluating who, when, why, and how you hireall of which are mirrored in your talent acquisition strategy. If given the option, 49% of Millennial workers would quit their present employment within the next two years (2019 Deloitte Global Millennial Survey). Many businesses consider finding the right people with the proper abilities their most pressing hiring challenge. Companies that employ effective talent acquisition methods lead to a successful workforce. However, lousy hiring can significantly reduce company profitability and efficiency. This research paper aims to analyze the current talent acquisition practices and processes adopted by the company and to understand the various factors affecting talent acquisition practices. A proactive talent acquisition strategy, encompassing strategic workforce planning, employer branding, continuous talent pipelining, technological integration, skill development, collaboration with educational institutions, data-driven decision-making, and a commitment to diversity and inclusion, forms a comprehensive model for long-term sustainable success. By adopting and adapting these practices, organizations can build a resilient and adaptable workforce capable of navigating the challenges of an ever-evolving business landscape. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024. -
NONHUMAN VISIONS: From Experimental Cinema to Hollywood
In this chapter, I want to trace the convergences between experimental cinema, video-art practices and Hollywood that has emerged as a result of their mutual investment in capturing the visuality of the Anthropocene through a technologically produced and mediated sensory framework. Through a series of case studies from independent filmmakers and Hollywood blockbusters, I argue that as much as the avant-garde is invested in producing Anthropocenic imaginations, Hollywood has also been pursuing it by creating a series of affective strategies that help us to conceive and relate to an otherwise incomprehensible scales of deep-pasts and futures. 2024 selection and editorial matter, Simi Malhotra, Sakshi Dogra and Jubi C. John; individual chapters, the contributors. -
Insights into the plant growth promotion properties of bacterial endophytes isolated from Alternanthera philoxeroides and Eichhornia crassipes from Bellandur lake, India
The presence of macrophytes such as Alternanthera philoxeroides and Eichhornia crassipes in Bellandur Lake, India, has been observed despite the high pollution levels. Our research aims to explore the potential role of endophytes in promoting the growth of these macrophytes in such heavily contaminated environments. In current study, we isolated 20 endophytic bacteria from various parts of A. philoxeroides (12) and E. crassipes (8) plants, including shoots, roots, leaves, and flowers. We found that a significant proportion of endophytes from A. philoxeroides (42 %) and E. crassipes (25 %) produced more than 100 g/mL of indole acetic acid (IAA). Similarly, the majority of the isolates possessed other plant growth promoting traits like ammonia production, nitrogen fixation, phosphate and potassium solubilization, siderophore production, and ACC deaminase production. Many of these isolates demonstrated extracellular enzyme production and halotolerance properties. We identified Acinetobacter soli ON529869 and Bacillus licheniformis ON506048 as the most effective plant growth promoters among the isolates, which also displayed antifungal properties against Fusarium solani and Cladosporium tenuissimum in vitro. Furthermore, greenhouse trials using these two endophytes revealed their significant plant growth promotion abilities in Amaranthus viridis. The pigment indices were evaluated using CI-710 Leaf Spectrometer. In conclusion, our findings provide compelling evidence for exploring the endophytic microbiomes of macrophytes in polluted areas for sustainable agriculture and bioprospecting of unique traits. This research could lead to the discovery of new and valuable resources for agricultural practices and other applications. 2023 SAAB -
Exploring the Potential of Bacillus velezensis, an Endophytic Bacteria Isolated from Alternanthera philoxeroides for Plant Growth Promotion and Bioremediation Properties
The current work was done to analyse the bioremediation and plant growth promotion (PGP) traits of endophytic bacteria isolated from Alternanthera philoxeroides from Bellandur Lake, Bangalore, India. Twenty-nine endophytic bacteria were isolated and tested for their PGP traits like indole acetic acid (IAA), ammonia, nitrogen fixation, 1-aminocyclopropane-1- carboxylate (ACC) deaminase production, phosphate solubilization etc. Endophytic bacterium, BEBAphL1 obtained from leaves of A. philoxeroides exhibited significant plant growth promotion properties and the isolate was identified as Bacillus velezensis OQ874364 using 16S rRNA sequencing. The bacterium showed potential IAA, ammonia production, nitrogen fixation, phosphate solubilization, and ACC deaminase production. The results indicate that this endophyte is promising as a growth-promoting inoculant, reducing the reliance on chemical inputs in conventional agricultural practices while enhancing nutrient uptake and stress resilience in plants. B. velezensis exhibited tolerance to high levels of chromium (500 mg/L) and NaCl (15%) and was also able to decolourize Congo red by 70% at 0.005% concentration of dye. Characterization of dye samples pre- and post-bacterial treatment was done using Fourier-transform infrared spectroscopy (FTIR) and Gas Chromatography-Mass Spectrometry (GC-MS) analysis. The findings of the study indicate that B. velezensis shows promise as a plant growth stimulator capable of withstanding heavy metal exposure and breaking down dyes. The Author(s) 2023. -
Workplace diversity and inclusion: Policies and best practices for organisations employing transgender people in India
Policies and best practices are suggested based on the viewpoints of transgender employees, human resources managers in charge of diversity and inclusion, and activists who work for the welfare of transgender people. Fifteen people were interviewed in depth and their responses were analysed to obtain insights into transgender employees' perception of well-being in the workplace, which will help organisations to develop appropriate human resource policies to protect the rights of their transgender employees in the workplace. Copyright 2019 Inderscience Enterprises Ltd.