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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. -
Impact of language-based diversity on affective, normative and continuance commitments level amid techs
Language-based diversity is a relatively understudied area within diversity research. The present paper examines the effects of language-based diversity among IT employees on levels of affective, normative and continuance commitments in Bengaluru, Cosmopolitan city. In primary data, responses are collected through well framed questionnaires and direct interaction with the employees to selected sample of 550 respondents of 10 Information Technology organisations in Bengaluru city. The independence of the two characteristics mother tongue and continuance commitment was tested using Cramers V statistic and the asymptotic significance value of 0.000 resulted into the conclusion that the two characteristics are not independent. 51.9% of the employees with mother tongue Tamil have high level continuance commitment. Cramers V statistic was used to test the independence of the two attributes namely, mother tongue and total commitment, and it was found that the asymptotic significance value is 0.000 which is less than 0.05. Hence it was found that the characteristics are not independent. IAEME Publication. -
Connect among employee engagement and three key of organisational commitment level - An empirical exploration AMID techs
The main objective of this paper is to gravely examine the link between employee engagement level and affective, continuance and normative commitment level in information technology (IT) organisations in Bangalore city. In primary data, responses are collected through well framed questionnaires and direct interaction with the employees to selected sample of 550 respondents of 10 Information Technology organisations in Bangalore city. The result revealed that employee engagement level explained 32% of the variation in total commitment. Since the P value is less than 0.01, it can be inferred that the linkage between employee engagement level and total commitment is statistically significant. The study identified a strong, positive correlation between employee's engagement level and affective commitment (d = 0.347, p =0.000) and employee's engagement level and normative commitment (d =.265, p =0.000), which were statistically significant. The study also revealed a positive correlation between employee engagement level and continuance commitment, which was not statistically significant (d =.072, p =0.096). The current study adds to the research pointing at employee's engagement level as a promising underlying mechanism to improve employee's organisational commitment level. IAEME Publication. -
Precursor to employee engagement AMID knowledge workers
The main objective of this study is to critically analyze the precursor to employee engagement. The research methodology used in this research is descriptive research. In primary data, responses are collected through well framed questionnaires and direct interaction with the employees to selected sample of 550 respondents of information technology organisations in Bengaluru City. The questionnaire consists of 20 questions based on employee engagement precursor. To reduce the dimension of this an exploratory factor analysis was carried out and 3 factors explaining 65.26% of the variance were derived. The 3 precursors identified as professional contentment (Cronbach's alpha 0.940) career development (Cronbach's alpha 0.836) and job enrichment (Cronbach's alpha 0.826). The current study adds to the research pointing at precursors to employee's engagement among knowledge researcher. Medwell Journals, 2017. -
Planned fashion obsolescence in the light of supply chain uncertainty
Fast fashion has popularised the phenomenon of perceived obsolescence whereby customers try to stay in line with the current fashion trends in the market even though the apparel they own are in perfect condition. This has ultimately led the fashion industry to become the second largest polluter in the world. The primary objective of this research paper is to comprehend how the media manoeuvres customers to indulge in fast fashion and how that in turn leads to uncertainty in the supply chain. To understand this, a maximum variation sampling method was adopted which consisted of customers, supply chain partners and marketers. In order to draw a parallel between the variables researched in the past and the present day scenario, an interview schedule was employed. Through the variables selected with the help of Dedoose, a model was created to identify the hurdles faced by suppliers as well as the customer in the fast fashion cycle. The results found that the power to break the fast fashion phenomenon lay in the hands of the media as it is through them that customers' perception can be altered. The importance of artificial intelligence in SCM and the modern tools used in industry 4.0 have also been discussed. 2020 Allied Business Academies. -
Journey through spiritual lens
This research is a comparative study of the Journey of Santiago in 'The Alchemist' who is after a personal legend and Christian in 'The Pilgrim's Progress' who sets his journey to attain Salvation. The aim of the study is to understand the similarities and diff erences of the terms such as Spiritual Quest, Sin, Purpose of Life, Truth and Sin. The growth of the two journeys has been analysed by highlighting the similarities and differences between the two. Such comparison not only helps in better understanding but it also helps to find new insights. Through the observations one states that though material treasure brings happiness but it is momentarily but a journey of trusting God will bring better understanding of the world. IJSTR 2019. -
Independent partial domination
For p ? (0, 1], a set S ? V is said to p-dominate or par-tially dominate a graph G = (V, E) if|N[S]| |V | ? p. The minimum cardinality among all p-dominating sets is called the p-domination number and it is denoted by ?p(G). Analogously, the independent partial domination (ip(G)) is introduced and studied here independently and in re-lation with the classical domination. Further, the partial independent set and the partial independence number ?p(G) are defined and some of their properties are pre-sented. Finally, the partial domination chain is established as ?p(G) ? ip(G) ? ?p(G) ? ?p(G). L. Philo Nithya et al. -
History of gestational diabetes mellitus, self-efficacy and coping in postpartum women: A pilot study
The present study investigates whether the history of gestational diabetes mellitus (GDM) influences self-efficacy and coping among postpartum women. Purposive sampling technique was used to collect data from 100 postpartum women, 50 with a history of GDM and 50 without. The General Perceived Self-Efficacy Scale was used to measure the self-efficacy of the participants. The Brief COPE developed by Carver was used to measure coping. A Mann-Whitney U-test showed postpartum women with a history of GDM are higher in self-efficacy and coping than those without such a history. Even though self-efficacy showed a relationship to coping, the two groups differed in the use of coping strategies. 2018 by the Research Institute of Asian Women, Sookmyung Women's University. All rights reserved. -
Assessing factors influencing intentions to use cryptocurrency payments in the hospitality sector
Purpose: The emergence of cryptocurrency has developed a new payment system that is changing how financial transactions happen in hospitality. Consumers/travelers have started experimenting with cryptocurrency payments in hotels and restaurants. However, extant research is lacking in understanding the consumer adoption intention of cryptocurrency payments. This study investigates the intention to use cryptocurrency payments in the hospitality industry. Design/methodology/approach: The conceptual model in this study is based on the Behavioral Reasoning Theory, and it explores the motivating and deterring factors influencing the adoption of cryptocurrency payments in the hospitality industry. A quantitative survey was conducted among 1,080 consumers to examine and confirm the model, with data being analyzed through the Partial Least Squares Structural Equation Modeling (PLS-SEM) method. Findings: The outcome of this work showed that the reasons for positively influence and reasons against negatively influence consumers attitudes and use intentions. Consumers values of openness to change positively influence the reasons for and do not influence the reasons against and attitude toward the use of cryptocurrency payments. Practical implications: This work contributes to practice by providing insights to customers (users/payee), hospitality managers (investors) and organizations/firms (receiving crypto payments) as well as to financial firms and the government. Originality/value: This research contributes to cryptocurrency payment adoption and behavioral finance literature. The research uniquely provides the adoption and inhibiting factors for cryptocurrency payment in an integrated framework in the hospitality sector. 2024, Emerald Publishing Limited. -
Unveiling virtual interactive marketplaces: Shopping motivations in the Metaverse through the lens of uses and gratifications theory
The emergence of Metaverse has transformed the consumer shopping experience. This novel e-commerce platform offers a fresh approach to shopping, with Generation Z primarily exploring this innovative technology. Our research examines shopping within the Metaverse by developing a model based on the Uses and Gratifications Theory and Metaverse-related factors. A total of 1220 Gen Z consumers were surveyed, and data was collected using a structured questionnaire. Further, analysis of collected data was done using PLS-SEM. The results reveal that information seeking, perceived enjoyment, escapism, social interaction, sense of immersion, and personalization influence the shopping intention in the Metaverse, and perceived risk negatively influences the shopping intention of consumers. Further, shopping intention influences the potential use of Metaverse for shopping, and this relationship is moderated by technological innovativeness. This investigation into the adoption of the Metaverse for retail purposes augments the current Metaverse research and enhances the uses and gratifications theory within the Metaverse domain. Metaverse e-commerce professionals, including managers and developers, can acquire valuable perspectives on consumer shopping tendencies in the Metaverse from this study. 2025 The Author(s) -
Assessing the Determinants of Metaverse Adoption for E-Commerce Retailing
The advent of metaverse technology has impacted the retail sector, shaping e-commerce platforms into a new form of metaverse-based online shopping environments. The metaverse e-commerce experience is new to shoppers, making it crucial to comprehend consumer reactions to this technology in the context of retail. This study explores the shopping intention and potential use of the metaverse for shopping using the UTAUT2 model and metaverse-based context-specific antecedents. Using a structured questionnaire, data from 1340 consumers were collected and analyzed through PLS-SEM. The findings indicated that factors such as performance expectancy, effort expectancy, social influence, hedonic motivation, and facilitating conditions influence shopping intention in the e-commerce metaverse. The metaverse-related antecedents, namely, a sense of immersion and imagination, have a positive influence, whereas technological anxiety and perceived security and privacy concerns have a negative impact on e-commerce shopping intention in the metaverse. It was also found that shopping intention influences the potential use of metaverse for shopping and that stickiness to traditional shopping negatively moderates this relationship. This unique research explores consumer buying behavior in the metaverse. It provides marketers, e-commerce managers, designers, and developers of metaverse platforms with the antecedents of the potential use of the metaverse for shopping insights. Consumer policymakers can also draw insights from this study. 2024 The Author(s). Published with license by Taylor & Francis Group, LLC. -
On the Hermite and Mathieu Special Characterizations to the Logarithmic ZakharovKuznetsov Equations
In this paper, we find the new travelling wave solutions for several aspects of logarithmic ZakharovKuznetsov (ZK) equations using an efficient technique called the special function method which is composed of Hermite and Mathieu differential equations being novel and special functions. In order to illustrate the efficiency of the projected scheme, we considered four different examples with different cases, namely, logarithmic ZK (log-ZK) equation, logarithmic modified ZK (log-mZK) equation, and logarithmic ZK modified equal width (log-ZK-mEW) equation and logarithmic ZKBenjaminBonaMahony (log-ZKBBM) equation. The behaviour of the obtained results and corresponding consequences are illustrated and captured. Finally, the obtained results confirm that the considered solution procedure can be widely employed to find the solution and also capture some interesting and stimulating consequences. 2023, The Author(s), under exclusive licence to Springer Nature India Private Limited. -
Phytogenic CeO2-Sm2O3 nanocomposites with enhanced catalytic activity for reduction of 4-nitrophenol
The phytogenic synthesized CeO2-Sm2O3 is a green, efficient and cost-effective catalyst. The CeO2-Sm2O3 composite was characterized using XRD, FTIR, Raman, TGA, UV-DRS, TEM, FE-SEM and EDAX. The synthesized CeO2-Sm2O3 shows a high catalytic activity for the reduction of 4-nitrophenol in the presence of the sodium borohydride under ambient conditions. This CeO2-Sm2O3 nanocomposite catalyst shows good stability and reusability without much loss in conversion efficiency. CeO2-Sm2O3 possess great prospects in the reduction of nitro organic pollutants in water. 2019 IOP Publishing Ltd. -
Hierarchically nanostructured ZnO with enhanced photocatalytic activity
Hierarchical nanostructures of ZnO are integrated architectures comprising well-ordered nanoscale subunits and excellent photocatalytic properties. In this study, synthesis of ZnO nanoparticles using methods such as co-precipitation, hydrothermal, thermal decomposition, and electrochemical precipitation yielded microsphere, nanorod, pyramid, and nanopetal-like morphologies, respectively. The catalysts obtained were characterized using XRD, IR, SEM-EDX, UVDRS, TGA, PL, and Zeta potential analysis. The XRD spectra confirmed that all the different morphologies of ZnO have hexagonal wurtzite structures The photocatalytic activity of these nanostructures was determined using a dye degradation study on a model pollutant Methylene Blue (MB) under simulated visible light. The kinetic study of the dye degradation reveals that it obeys pseudo-first-order kinetics with a maximum rate constant of 0.01503 min-1. The nanorod structured ZnO particles prepared by the hydrothermal method showed the best catalytic activity. 2021 The Electrochemical Society ("ECS"). Published on behalf of ECS by IOP Publishing Limited. -
BoxBehnken design and experimental study of ciprofloxacin degradation over Ag2O/CeO2/g-C3N4 nanocomposites
Abstract: The presence of pharmaceutical residues notably antibiotics in the environment is an increasing concern due to their persistence and toxicity. Developing efficient and eco-friendly methods to eliminate antibiotic residues from water bodies has become a major environmental challenge. CeO2 doped with a heteroatom forms a hybrid structure with g-C3N4 and could serve as an efficient photocatalytic agent. In this study, CeO2/g-C3N4 and Ag2O/CeO2/g-C3N4 hybrid catalysts were prepared for UV light degradation of ciprofloxacin (CIP) antibiotic. The various factors that influence the degradation were experimentally optimized. The kinetics of the degradation was investigated using the LangmuirHinshelwood kinetic model. The effect of three operational parameters influencing the photocatalytic degradation has been evaluated using BoxBehnken design of response surface methodology. The highest degradation of CIP was observed at CIP concentration of 10?g/L with a catalyst amount of 30mg after 2.5h. Efficient charge separation was achieved from the dopant and the existing integrated electric field of the heterojunction showed impressive higher activity. Graphic abstract: [Figure not available: see fulltext.]. 2020, Islamic Azad University (IAU). -
Experimental design for optimization of 4-nitrophenol reduction by green synthesized CeO2/g-C3N4/Ag catalyst using response surface methodology
In this study, the enhancement of catalytic activity of ceria when modified with co-catalysts such as graphitic carbon nitride and silver was established. The material was synthesized using phytogenic combustion method, a green alternative to the traditional preparative routes. The catalyst was characterized using XRD, FTIR, SEM, EDX, XPS and TEM techniques. The synergistic effect of the composite CeO2/g-C3N4/Ag was tested for catalytic reduction of 4-nitrophenol in the presence of sodium borohydride. The reaction was carried out at room temperature without any light source or external stirring. The individual and combined effects of four parameters, viz., concentration of 4-NP, amount of catalyst, amount of NaBH4 and time for the reduction of reduction 4-NP were investigated using Box-Behnken design of response surface methodology (RSM). This statistical model was used to optimize the reaction conditions for maximum reduction of 4-NP. The optimum conditions for the reduction reaction are found to be 0.01 mmol/L 4-NP, 15 mg catalyst, 20 mg NaBH4 and 13.7 min time interval. 2020 Chinese Society of Rare Earths -
Effect of surface charge and other critical parameters on the adsorption of dyes on SLS coated ZnO nanoparticles and optimization using response surface methodology
Adsorption is a possible method with distinct advantages to remediate pollution due to dyes. Sodium Lauryl Sulfate (SLS) coated ZnO nanoparticles were synthesized using the electrochemical method. The final product was dried at different temperatures, 60, 120, 150 and 300 C. The sample dried at 60 C was found to have the maximum SLS coating on its surface providing high negative charge density. This facilitates the adsorption of cationic dyes on its surface through electrostatic attraction. The effect of SLS on the adsorption process was confirmed by comparing it with ZnO without SLS. The effect of important parameters such as amount of adsorbent, concentration of dye, temperature and time on the percentage of adsorption was investigated using Box-Behnken design (BBD) of Response Surface Methodology (RSM). The prepared catalysts were characterized using X-ray diffraction analysis, infrared spectroscopic analysis, scanning electron microscopy, elemental detection analysis, thermogravimetric and zeta potential analysis. Finally, the study was extended to Langmuir and Freundlich isotherms in order to confirm the type of adsorption. The adsorption kinetics studies showed that it obeys pseudo second order kinetics. 2020 Elsevier Ltd. -
Mining and Interpretation of Critical Aspects of Infant Health Status Using Multi-Objective Evolutionary Feature Selection Approaches
The rate of infant mortality (IMR) in a population under one year of age is a marker for infant mortality. It is a major sensitive marker of a community's overall physical health. Protecting the lives of newborns has become a challenging issue in public health, development programs, and humanitarian initiatives. Almost 10.1% infants died in the United States of America (USA) in 2021. Therefore, this paper aims to extract and understand the various influential factors causing infant deaths in the USA. A crowding distance-based multi-objective ant lion optimization (MOALO-CD) is proposed here with statistical evidence for feature selection. The proposed technique is compared with competitive metaheuristic models such as multi-objective genetic algorithm based on crowding distance (MOGA-CD), multi-objective filter approaches, and recursive feature elimination. Various machine learning classifiers are applied to the selected feature subset obtained from MOALO-CD on the USA's infant dataset. Extensive experimental results indicate that the proposed model outperforms the existing metaheuristic approaches in terms of Generational Distance, Inverted Generational Distance, Spread, and Hyper volume. Also, the comparative analysis of various machine learning models reveals that random forest achieves significantly better performance on the feature subset obtained from MOALO-CD. 2013 IEEE. -
An efficient ZnO and Ag/ZnO honeycomb nanosheets for catalytic green one-pot synthesis of coumarins through Knoevenagel condensation and antibacterial activity
This study pioneers the synthesis of porous Ag/ZnO nanosheets, focusing on their role as a catalyst in Knoevenagel condensation. Notably, these nanosheets display exceptional catalytic efficacy and captivating antibacterial properties. The research delves into the Ag/ZnO catalyst's recyclability and proposes a potential reaction mechanism, marking the first comprehensive exploration of Knoevenagel condensation on porous Ag/ZnO nanosheets. Key findings underscore the successful synthesis of coumarin derivatives using various o-hydroxy benzaldehyde and 1,3-dicarbonyl compounds, with nano-Ag/ZnO serving as a catalyst via a monomode microwave-assisted approach. X-ray diffraction (XRD), Field Emission Scanning Electron Microscopy (FE-SEM), Transmission Electron Microscopy (TEM) and UV-Vis spectroscopy were used in conjunction with other physicochemical methods to characterize the synthesized catalytic samples. The method boasts advantages such as high product yields, brief reaction durations, and the ability to reuse the catalyst for multiple cycles. The Ag/ZnO nanosheets, functioning as an acid catalyst, activate carbonyl groups and facilitate their interaction with methylene-containing active molecules. In addition, antibacterial activity assessments demonstrate the superior effectiveness of Ag/ZnO nanocomposites compared to ZnO nanosheets against Staphylococcus aureus germs. This multifaceted study not only advances catalytic synthesis but also unveils promising biological applications of porous Ag/ZnO nanosheets. 2024 Walter de Gruyter GmbH, Berlin/Boston 2024.