Browse Items (5592 total)
Sort by:
-
On thermal performance of spine fin in magnetized hybrid fluid rooted with Cu and MoS4 nanoparticles
This study examines the thermal performance of diverse profiles of spine fins with variable thermal conductivity. A hybrid nanofluid comprising Cu, and MoS4 with water as the base fluid, is modeled mathematically. Both the cylindrical and concave parabolic profiles are taken into account. The comparative outcomes are inferred from numerical and semi-analytical methods. The non-dimensional temperature profiles are analyzed graphically while considering the fin tip to be insulated, and the effects of various thermal parameters are also investigated. We have observed that the heat transfer rate shows an opposite trend toward convective-conduction and porosity parameter. The study also revealed that the concave parabolic profile emits more heat in comparison with the cylindrical profile. 2024 Author(s). -
Fluorescent Carbonized Polymer Dots Derived from o-phenylenediamine and its Photonic Application
Optimizing the optoelectronic characteristics of low-dimensional carbon dots (CDs) through surface modifications and doping has proven instrumental in tailoring them for diverse applications. This study explores a facile and economical hydrothermal synthesis method for generating Carbonized Polymer Dots using o-phenylenediamine at different temperatures. The resulting materials exhibit structural and morphological variations linked to the synthesis temperature. A transition from carbon dots (CDs) embedded in reduced graphene oxide (rGO)-like sheet structures at low temperatures to the core-shell structure at the highest temperature is observed in HR-TEM, implying the formation of CPDs. X-ray photoelectron spectroscopy (XPS) corroborates these findings, showing an augmented degree of graphitization in alignment with HR-TEM results. The photoluminescence spectra of CPDs synthesized at the lowest temperature exhibit multiple emission peaks, resulting in a yellowish-orange color. Utilizing these CPDs to fabricate light-emitting diodes (LEDs) produces a vivid bright-green emission with CIE coordinates (0.378, 0.522). Moreover, the CPDs demonstrate solvatochromism across diverse solvents of varying polarity, covering the entire visible spectrum. This intriguing solvatochromic effect positions the CPDs as promising materials for polarity probing applications. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024. -
Deep Learning for Early Detection of Tomato Leaf Diseases: A ResNet-18 Approach for Sustainable Agriculture
The paper explores the application of Convolutional Neural Networks (CNNs), specifically ResNet-18, in revolutionizing the identification of diseases in tomato crops. Facing threats from pathogens like Phytophthora infestans, timely disease detection is crucial for mitigating economic losses and ensuring food security. Traditionally, manual inspection and labour-intensive tests posed limitations, prompting a shift to CNNs for more efficient solutions. The study uses a well-organized dataset, employing data preprocessing techniques and ResNet-18 architecture. The model achieves remarkable results, with a 91% F1 score, indicating its proficiency in distinguishing healthy and unhealthy tomato leaves. Metrics such as accuracy, sensitivity, specificity, and a high AUC score on the ROC curve underscore the model's exceptional performance. The significance of this work lies in its practical applications for early disease detection in agriculture. The ResNet-18 model, with its high precision and specificity, presents a powerful tool for crop management, contributing to sustainable agriculture and global food security. (2024), (Science and Information Organization). All Rights Reserved. -
A comparative study on the moderating impact of renewable energy and innovation on environmental quality
This study explores the complex interactions between renewable energy production, innovation, economic growth, institutional quality, economic globalization, and CO2 emissions in OECD countries and emerging economies from 1996 to 2021. Results from DriscollKraay standard error and feasible generalized least square reveal distinct trends: renewable energy production leads to increased CO2 emissions in emerging economies but significantly reduces emissions in OECD countries. Besides, residential and non-residential innovation, along with total innovation, show similar effects. Notably, technology-moderated renewable energy production effectively lowers CO2 emissions in both country groups. Similarly, economic growth enhances environmental quality in both sets of countries. However, institutional quality needs improvement in emerging economies, while current levels suffice in OECD nations to maintain environmental quality. Moreover, the study emphasizes the importance of considering globalization's impact on CO2 emissions, advocating for international agreements to leverage globalization for environmental benefits. Overall, these findings provide valuable insights for shaping renewable energy policies, fostering innovation, promoting economic growth, enhancing institutional quality, and harnessing globalization efforts to reduce CO2 emissions and enhance environmental quality. 2024 United Nations. -
Role of Experiential Learning Program on Business Writing Skills of Management Students
Purpose: Writing has been identified as an important skill. Business writing refers to the form of writing that is used to communicate in formal settings in various corporations and organizations. A number of research studies have identified writing as a crucial skill that needs to be developed by students. The purpose of the study is therefore to understand how an experiential learning module on business writing can improve the email-writing and report-writing skills of management postgraduates. Design/Methodology/Approach: The study uses an experimental research methodology based on experiential learning pedagogy to obtain the results of the intervention on the business writing skills of the management postgraduate students. The module was developed by the researcher and then was taught to the students through the online platform Zoom. Pretest, posttest, and delayed posttest analysis was conducted to find the impact of the intervention. The students were evaluated by an industry expert to avoid bias as they were trained by the researcher. Findings: The results of the study indicated that the intervention had a significant impact on the business writing skills of the participants. The results of the component analysis also indicated a large effect on the content, persuasive abilities, lateral thinking abilities, and the interpersonal skills of the participants in written communication. The analysis of the test scores revealed that an initial training based on the experiential learning methods can have a long-term impact on the improvement of the skills of the students, as the delayed posttest results were more than the posttest results. Originality/value: The study will be beneficial to educators, trainers, as well as students in understanding how experiential learning can impact the business writing skills of the students. 2024 by the Association for Business Communication. -
Acidified groundnut cake for enhanced bio adsorption of anionic textile dye Reactive Red 195
This study focuses on the improvement of bioremediation of textile dye Reactive Red 195 using agro-industrial waste, groundnut oil cake (GNOC) obtained after oil-pressing. The treatment of GNOC with 1 N H2SO4 had resulted in physiochemical changes on the insoluble porous adsorbent, which improved their adsorption efficiency. The dye removal efficiency increased from 55% to 94% on acidification of GNOC. The raw groundnut oil cake (RGNOC) and acid-treated groundnut oil cake (AGNOC) were characterized using Fourier-transform infrared spectroscopy (FTIR), scanning electron microscopy (SEM), X-ray diffraction, and zeta potential. The rate and efficiency of dye adsorption were examined using adsorption kinetics and isotherm models. The results confirm that acid-treated GNOC eliminates impurities, alter the surface functional groups, and significantly increase porous surface areas of RGNOC. The investigation of key factors such as contact time, initial concentration of dye, static/agitation impact, particle size, and adsorbent dose had significantly influenced adsorption capacity of GNOC. Adsorption of dye fits best into the Langmuir model and equilibrium data of dye on AGNOC was explained by psuedo-second-order reaction with maximum adsorption capacity of 12.65 mg/g. This emphasis AGNOC has a very excellent potential to remove the textile dye Reactive Red dye from industrial effluent. 2024 Taylor & Francis Group, LLC. -
Enablers and Outcomes of Supply Chain Collaboration for Sustainable Growth
This study explores the intricate dynamics, challenges, and potential benefits of supply chain collaboration, emphasizing its pivotal role in achieving sustainability goals. Modern Supply Chain Collaboration (SCC) projects focus on sustainability-related activities, fostering interdependence between partners and driving sustained competitive advantage. The study introduces a comprehensive framework encompassing specific enablers (e.g., Joint Decision Making, Technology Integration) and outcomes (e.g., Social, Economic, and Environmental Sustainability) of supply chain collaboration. It contributes to practical guidelines for businesses seeking to enhance collaboration strategies and delves into theoretical paradigms such as the Cooperative Advantage concept, Triple Bottom Line Theory, Resource-Based View Theory, and Network Theory. The Triple Bottom Line Theory serves as an integrated theory of sustainability, emphasizing economic advantages, environmental impact minimization, and societal benefits. The Resource-Based View Theory underscores the role of internal resources in gaining competitive advantages, aligning with sustainability goals. Network Theory explores collaborative dynamics among competing entities, emphasizing resource sharing. The study's findings offer practical implications, enabling companies to assess and improve the sustainability of their supply chain management. It advocates for the integration of supply chain collaboration into organizational missions, emphasizing the importance of trust-building through standardized guidelines. The insights gained from this study are applicable across sectors, aiding legislators in developing flexible regulations and refining collaboration processes. Additionally, the study highlights the potential cultural variations in supply chain collaboration, paving the way for future research. 2024, Iquz Galaxy Publisher. All rights reserved. -
A Novel Machine Learning-Based Prediction Method for Early Detection and Diagnosis of Congenital Heart Disease Using ECG Signal Processing
Congenital heart disease (CHD) represents a multifaceted medical condition that requires early detection and diagnosis for effective management, given its diverse presentations and subtle symptoms that manifest from birth. This research article introduces a groundbreaking healthcare application, the Machine Learning-based Congenital Heart Disease Prediction Method (ML-CHDPM), tailored to address these challenges and expedite the timely identification and classification of CHD in pregnant women. The ML-CHDPM model leverages state-of-the-art machine learning techniques to categorize CHD cases, taking into account pertinent clinical and demographic factors. Trained on a comprehensive dataset, the model captures intricate patterns and relationships, resulting in precise predictions and classifications. The evaluation of the models performance encompasses sensitivity, specificity, accuracy, and the area under the receiver operating characteristic curve. Remarkably, the findings underscore the ML-CHDPMs superiority across six pivotal metrics: accuracy, precision, recall, specificity, false positive rate (FPR), and false negative rate (FNR). The method achieves an average accuracy rate of 94.28%, precision of 87.54%, recall rate of 96.25%, specificity rate of 91.74%, FPR of 8.26%, and FNR of 3.75%. These outcomes distinctly demonstrate the ML-CHDPMs effectiveness in reliably predicting and classifying CHD cases. This research marks a significant stride toward early detection and diagnosis, harnessing advanced machine learning techniques within the realm of ECG signal processing, specifically tailored to pregnant women. 2024 by the authors. -
Romance and Hitchcock? Viewing master of suspense as master of romance
This essay through literature and textual analysis argues that romance or romantic love is a dominant theme in Alfred Hitchcocks films alongside suspense. Romance in Hitchcocks films is highlighted in limited studies in the past and the findings are not conclusive. This study analysed a selected sample of 19 prominent films of Hitchcock. It argues that romantic content in Hitchcocks films is similar to classic Hollywood romantic films. However, unique features of romance specific to Hitchcocks films such as working together to solve a mystery, and complicated love were also found as recurring themes. Hitchcock employs his auteur style in the portrayal of romantic love to an extent that the romantic content in his films can be characterised as having a distinct style lending itself to term it as Hitchcock romance. Hitchcock romance is the amalgamation of suspense and romance that support each other to drive the narrative forward. 2024 Informa UK Limited, trading as Taylor & Francis Group. -
LANGUAGE CONTACT AND CHANGE: AN ANALYSIS OF HERITAGE KONKANI IN KERALA; [CONTACTE LINGSTIC I CANVI: UNA ANISI DEL PATRIMONI KONKANI A KERALA]; [CONTACTO LINGSTICO Y CAMBIO: UN ANISIS DEL PATRIMONIO KONKANI EN KERALA]
This paper analyses the extent of language contact induced change in the sound system of heritage Konkani community of Kerala, India. Heritage Konkanis, belonging to different castes namely Gowda Saraswat Brahmins (GSB), Saraswat non-brahmins, Konkan Sonars, Vaishya Vaniyar and Kudumbi, started migrating to Kerala in the late 13th century. The upper caste GSBs remained as a closed community until 20th century, which helped in the maintenance of their language. Linguistic data for the study was collected from 20 GSB youths of the age group 18-35 using Snowball sampling method. The analysis of the data shows loss of features such as aspiration and nasalization, which are inherent to Konkani. This indicates the vulnerable linguistic situation of the GSB community whose mother tongue exhibits linguistic variations, as a result of prolonged coexistence with the majority language, Malayalam. 2024 University of Barcelona. All rights reserved. -
Impact of porous nanoparticles on the electro-optical and dielectric parameters of nematic liquid crystals for display applications: Cost effective approach
In this study, several vital electro-optical and dielectric properties of nematic liquid crystal (NLC) dispersed with porous carbon nanoparticles (PCNP) with three different concentrations were measured. NLCs are birefringent materials. Increased birefringence was observed for NLC-PCNP composites. Dielectric study was also performed for NLC dispersed with PCNPs. Dielectric anisotropy was found to be increased for PCNP dispersed NLC system. Contrast ratio was also measured for NLC dispersed with PCNP, and it is found to be enhanced. Decreased threshold voltage was observed after dispersing PCNP into NLC. High birefringence reduces the cell gap so this work may be applicable in the making of flat panel displays (FPDs). 2024 Taylor & Francis Group, LLC. -
UV-C and gamma radiation mediated L-DOPA production from in-vitro cultures of Mucuna pruriens (L.) DC
This is the first report on UV-C and gamma rays mediated in-vitro elicitation of L-DOPA from Mucuna pruriens (L.) DC. cell suspension cultures. Gamma and ultraviolet rays are used on plants to induce mutations which results in activation of defence cascades and production of secondary metabolites due to this abiotic stress. The in-vitro callus developed from 0.5mg/L picloram was suspended into liquid medium and exposed to different time intervals (0, 15, 30, 45 and 60min) of UV-C radiations. On the other hand, the seeds were directly exposed to different doses (25, 50, 100, 150 and 200Gy) of gamma radiations and these irradiated seeds were grown in-vitro from which callus and cell cultures were established. From all these in-vitro cultures, the anti-Parkinsons drug L-DOPA was quantified using HPLC. 60 and 30-minute exposure of UV-C radiations resulted in highest biomass (193.27g/L FW) and L-DOPA production (5.13mg/g DW) respectively both showing a 1.5-fold increase than the control. In gamma radiation studies, 100Gy (Gy) dose showed the highest (83%) seed germination rate, 150Gy increased the in-vitro root and shoot length, while 100Gy increased the biomass of the cell cultures. Also, 150Gy dose showed a 6.1, 2.6 and 2.4-fold increase in L-DOPA production in the in-vitro roots, in-vitro shoots, and cell suspension culture respectively when compared to the control. UV light exposure of 30min and 150Gy doses of gamma radiation showed a significant increase in L-DOPA production. The Author(s) under exclusive licence to Society for Plant Research 2024. -
A novel two-tier feature selection model for Alzheimers disease prediction
The interdisciplinary research studies of artificial intelligence in health sector is bringing drastic life saving changes in the healthcare domain. One such aspect is the early disease prediction using machine learning and regression algorithms. The purpose of this research is to improve the prediction accuracy of Alzheimers disease by analysing the correlation of unexplored Alzheimer causing diseases. The work proposes Chi square-lasso ridge linear (Chi-LRL) model, a new two-tier feature ranking model which recognizes the significance of including diabetes, blood pressure and body mass index as potential Alzhiemer predictive parameters. The newly added predictive parameters of Alzheimers disease were statistically verified along with the conventional prediction parameters using chi-square method (Chi) as Tier 1 and an embedded model of lasso, ridge and linear (LRL) Regression for feature ranking as Tier 2. The performance of the proposed Chi-LRL model with selected features were then analysed using machine learning algorithms for performance analysis. The result shows a noticeable performance by selecting eleven significant features and a 4.5% increase in the prediction accuracy of Alzheirmer disease. 2024 Institute of Advanced Engineering and Science. All rights reserved. -
Unpacking the Psychology of Investment Intention: The Role of Emotional Intelligence, Personality Traits, and Risk Behaviour
In the dynamic realm of wealth accumulation, investments demand a meticulous evaluation of both financial and non-financial aspects inherent in securities. Prudent decision-making surpasses a fixation on anticipated returns, requiring a nuanced assessment of an investment's potential to actualize desired earnings. This study challenges the presumption of investor rationality in traditional financial theories, emphasizing the profound impact of non-financial determinants on decision-making, including personality traits, emotional intelligence, and risk behavior. With a robust sample size of 396 respondents, the research establishes a statistically significant correlation between emotional intelligence, personality traits, risk behavior, and the intricate domain of investment decisions. For middle-class investors, a pivotal recommendation emerges: fostering a discerning comprehension of one's psychological attributes. Active collaboration with seasoned financial advisers is imperative, serving as a compass through the complexities of the modern financial milieu. This holistic approach, harmonizing financial acumen with nuanced psychological insight, proves indispensable for navigating intricacies and facilitating judicious investment decisions aligned with individual aspirations and risk thresholds. The nuanced integration of financial prudence and psychological acuity fortifies investment portfolios and establishes a resilient foundation for adeptly navigating the dynamic terrain of wealth management. 2024, Iquz Galaxy Publisher. All rights reserved. -
Green-Synthesized Sm3+-Doped ZnO Nanoparticles for Multifunctional Applications
The present study focuses on the green-mediated synthesis of pristine and Sm3+-doped ZnO nanoparticles using Syzygium cumini fruit extract. The prepared material was characterized by various characterization techniques. Photocatalytic degradation of a fast orange red (FOR) dye under UV light resulted in 88% degradation, with a minimal decrease (87.90%) observed even after five successive runs, indicating the stability and effectiveness of the catalyst. The enhancement in degradation efficiency is attributed to the incorporation of Sm3+ ions into the ZnO lattice. Utilizing the optimized Sm3+ (5 mol%)-doped ZnO nanoparticles, cyclic voltammetry (CV) and electrochemical impedance spectra (EIS) were performed on the prepared electrode, demonstrating the excellent CV properties; this enhancement is attributed to the modification of ZnO's redox chemistry and the alteration of charge transfer kinetics at the electrode-electrolyte interface due to the addition of Sm3+ into the ZnO structure. The antibacterial activity was performed against two pathogenic strains, i.e., Escherichia coli and Streptococcus aureus. The obtained results suggest that the prepared material holds great promise for catalytic, energy storage, antibacterial, and other multifunctional applications. 2024 Lavanya R. et al. -
Magnetohydrodynamic flow of two immiscible hybrid nanofluids between two rotating disks
The two-layer model of the magnetohydrodynamic flow of hybrid nanofluid (HNF) between two disks of the same radii is analyzed in this study. The base fluids of both the hybrid nanofluids are immiscible so that these two fluids form an interfacial layer making the study more unique and innovative. The heat source/sink with viscous dissipation effect on energy equation is discussed. The governing equation is in the form of PDEs that are later reduced to ODEs with the help of the Von Karman transformation. The resulting ODEs are solved using the RK method and the results are interpreted graphically. In addition to temperature and concentration gradient, the radial, tangential and axial velocities for different parameters are studied. The results indicate that the physical ratios such as viscosity and thermal conductivity ratios can improve the fluid motion and temperature even in the presence of magnetic field. Also, the ratio of stretching rate produced by the rotation of disk can effectively control the fluid motion. The two fluid flow between two rotating disk forms an interfacial layer between the fluids results in the increment of heat transfer rate which finds application in the field such as heat ex-changer equipment, Cryogenic systems, electronic appliances, and solar collectors. 2024 Taylor & Francis Group, LLC. -
Role of energy sources in promotion of sustainable development: moderating implications of globalisation
This study empirically investigates the impact of renewable and non-renewable energy generation on sustainable development for a balancedpanel of 68 developed and developing economies from 1990 to 2019. This is done to scrutinise the intricate interplay between energy sources and sustainable development outcomes at the global level. The estimated models also control for the effects of globalisation, urbanisation, and government expenditure. The Westerlund cointegration establishes a significant long-run relationship between the variables under consideration. In this regard, the two-step dynamic system-generalised moment method (system GMM) demonstrates a positive impact of renewable energy, globalisation, and government expenditure on sustainable development. In contrast, non-renewable energy and urbanisation exert detrimental influences on it. However, both the energy sources demonstrate an amplified positive impact on sustainable development under the moderating influence of globalisation. The Feasible Generalised Least Squares estimation also confirms the long-run reliability of these baseline findings. Furthermore, Granger based non-causality test establishes a significant causal relationship between the variables under consideration. Potential policy suggestions for promoting the sustainable development are also discussed. The Author(s), under exclusive licence to Springer Nature B.V. 2024. -
Unveiling the Motivation Drivers in Start-Up Workspace
This article delves into the relationship between workplace happiness and productivity in startup settings. Its primary objective is to dissect the multifaceted factors impacting employee well-being, aiming to enhance overall efficiency by customizing the work environment in myriad ways. For this study, a descriptive causal methodology was employed to investigate the impact of workplace happiness on productivity within start-up companies. A carefully structured questionnaire was administered to 256 employees within well-established organisations in Bangalore, India. Participants were selected through a Judgement sampling process to ensure impartial and unbiased representation. Survey respondents preferred the pre-COVID working conditions, acknowledging their advantages. However, the increased autonomy and flexibility in work arrangements have led to enhanced productivity under the new hybrid model. Notably, when employees are entrusted with greater responsibility, their job satisfaction rises, resulting in increased work output. organizations are now tasked with offering additional incentives to remote employees, thereby elevating the satisfaction and job fulfilment experienced by these individuals. Effectively tackling challenges necessitates the alignment of learning and development objectives with the internal business processes that maximize each employee's abilities and potential. This involves meeting the criteria outlined in the balanced scorecard components. 2024, Iquz Galaxy Publisher. All rights reserved. -
High-Performance ?-cyclodextrin-Ti3C2Tx MXene-Based Electrochemical Sensor for the Detection of Neurological Disorder Biomarker
In this work, the ?-cyclodextrin-MXene (?-CD-MXene) composite was employed as a modifier for carbon fiber paper (CFP) electrodes and quantification of L-methionine (L-Met). The ?-CD-MXene composite was prepared by hydrothermal synthesis route by adding ?-CD and Ti3C2Tx MXenes obtained via the Minimally intensive layer delamination technique. Cyclic voltammetry (CV) and Differential Pulse Voltammetry (DPV) were conducted to study the influence of scan rate and pH on the electrooxidation of L-Met studies using the ?-CD-MXene/CFP electrode. The layered structure of the exfoliated Ti3C2Tx MXenes with charge transfer efficiency in combination with the host-guest interaction ability of ?-CD enhances the electrooxidation of L-Met. The ?-CD-MXene/CFP electrode showcased high sensitivity, reproducibility, and stability, and the anodic peak currents were in linearity with L-Met concentration within the range of 0.09-540 ?M and LOD of 0.03 ?M under various optimized conditions. In addition, the developed sensor showcases highly selective and non-interfering sensing of L-Met. 2024 The Electrochemical Society (ECS). Published on behalf of ECS by IOP Publishing Limited. -
A novel fibrinolytic enzyme producer from mangrove soil sediments: Screening, isolation, strain improvement, and fermentation
Fibrinolytic enzymes are used for addressing many cardiovascular disease conditions. However, current fibrinolytic enzymes are highly expensive with many side effects which necessitate the development of alternative cost-effective processes for low-cost production of these lifesaving enzymes. Since the availability of a suitable strain is considered the basic requirement for any process development effort, we started our work in this direction with screening and isolation of fibrinolytic enzyme producers. The goal of this study was to screen and isolate fibrinolytic enzyme producers from a relatively unexplored environment, i.e., the mangroves. Mangroves are wetlands and are one of the unique and less studied habitats for the production of therapeutic molecules. Microbiota that produces fibrinolytic enzymes from Coringa mangroves located in Kakinada District, Andhra Pradesh, India, is lacking. Therefore, in this study, fibrinolytic enzyme-producing bacterium was screened from samples obtained from Coringa mangroves. Out of 200, protease enzyme-producing isolates obtained from screening 30 mangrove soil samples, 7 isolates exhibiting fibrinolytic activity were selected. Out of these 7, the highest fibrinolytic enzyme-producing bacterial strain (AIBL_AMSB2) was characterized by biochemical and genomic methods, which was finally identified as Bacillus subtilis subsp. Inaquosorum by 16S rRNA analysis. The strain was also found to be an amylase producer. AIBL_AMSB2 was subjected to strain improvement using random mutagenesis techniques (i) Ultraviolent radiations (UV) and (ii) Ethyl methyl Sulphonate (EMS), which resulted in an improved mutant strain AIBL_AMSB2_M7E32 exhibiting 54.70% improvement in fibrinolytic activity. Batch fermentation in controlled experimental conditions using the obtained mutant strain resulted in a 133.54% increase in growth OD and a 391.11% increase in enzyme activity. Thus, the study reports an increased fibrinolytic enzyme activity producing mangrove isolate and its production by submerged fermentation. Further studies to prove the potential of the enzyme on blood clots are necessary to utilize for industrial application. 2024 Bhavana Sompalli and Alok Malaviya.