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Impact of transformational leadership on the affective commitment of employees in the service sector /
International Journal of Recent Technology And Engineering, Vol.8, issue 4, pp.1388-1393, ISSN No: 2277-3878. -
Short-chain fatty acid: An updated review on signaling, metabolism, and therapeutic effects
Fatty acids are good energy sources (9 kcal per gram) that aerobic tissues can use except for the brain (glucose is an alternative source). Apart from the energy source, fatty acids are necessary for cell signaling, learning-related memory, modulating gene expression, and functioning as cytokine precursors. Short-chain fatty acids (SCFAs) are saturated fatty acids arranged as a straight chain consisting minimum of 6 carbon atoms. SCFAs possess various beneficial effects like improving metabolic function, inhibiting insulin resistance, and ameliorating immune dysfunction. In this review, we discussed the biogenesis, absorption, and transport of SCFA. SCFAs can act as signaling molecules by stimulating G protein-coupled receptors (GPCRs) and suppressing histone deacetylases (HDACs). The role of SCFA on glucose metabolism, fatty acid metabolism, and its effect on the immune system is also reviewed with updated details. SCFA possess anticancer, anti-diabetic, and hepatoprotective effects. Additionally, the association of protective effects of SCFA against brain-related diseases, kidney diseases, cardiovascular damage, and inflammatory bowel diseases were also reviewed. Nanotherapy is a branch of nanotechnology that employs nanoparticles at the nanoscale level to treat various ailments with enhanced drug stability, solubility, and minimal side effects. The SCFA functions as drug carriers, and nanoparticles were also discussed. Still, much research was not focused on this area. SCFA functions in host gene expression through inhibition of HDAC inhibition. However, the study has to be focused on the molecular mechanism of SCFA against various diseases that still need to be investigated. 2022 Taylor & Francis Group, LLC. -
Green Synthesis of Hydroxyapatite Nanoparticles Using Semecarpus anacardium Linn leaf Extract: Examination of Anticancer Activity and its Apoptosis Induction
Nanotechnology and biomedical sciences enable diverse molecular and cellular applications. Plant-mediated biosynthesis of nanoparticles, a green chemistry approach, offers a cost-effective, eco-friendly alternative to traditional methods. This study focuses on developing hydroxyapatite nanoparticles (HA-NPs) using Semecarpus anacardium Linn (SAL) leaf extract (termed SAL@HA-NPs) as a capping agent and reducing agent. The presence of needle-shaped nanostructures was verified using SEM and TEM investigation. The presence of well-defined rings in the selected area electron diffraction (SAED) patterns provided evidence for the polycrystalline nature of the SAL@HA-NPs). The XRD spectrum exhibited clear peaks that closely corresponded to the hexagonal patterns of HA, indicating a mean crystalline diameter of 54.25nm. The FTIR analysis revealed the presence of biomolecules from Semecarpus anacardium Linn leaves on the surface of the nanoparticles. The suspension of SAL@HA-NPs displayed a polydispersity index of 0.445 and demonstrated excellent stability, as indicated by the zeta potential of -32.2 mV, as observed in the DLS tests. The SAL@HA-NPs exhibited a harmful effect on the HeLa cervical and HepG2 liver cancer cells, with an IC50 value of 52g/mL. Fluorescence microscopy revealed the deformation of the damaged cell membrane, fragmentation, and cell death following treatment with SAL@HA-NPs. The Annexin V-FITC and PI staining confirmed the mode of apoptosis by flow cytometric analysis. Thus, the SAL@HA-NPs acquired in this study could have a crucial impact on the biomedical domain of cancer treatment. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024. -
A study of the structure, luminescence and cytotoxicity of new green-emitting terbium-doped CaS nanophosphors
CaS nanoparticles have attracted significant attention due to their wide range of optoelectronic applications. The synthesis of CaS nanophosphors doped with different terbium concentrations through a simple wet chemical co-precipitation method using triethanolamine (TEOA) as a capping agent is reported here. X-ray diffractogram ensured that the nanoparticles were crystallized in the cubic phase with space groupFm3 m. Morphology and particle size of the TEOA-capped CaS:Tb nanophosphors were determined using scanning electron microscopy and transmission electron microscopy. The optical properties of the samples were studied by photoluminescence spectroscopy and UVVis absorption measurements. The prepared nanoparticles exhibited green luminescence, which is attributed to 5D47FJ transitions of terbium ions incorporated into the CaS lattice. The existence of various functional groups in the synthesized products was identified by Fourier transform infrared spectroscopy. The lifetime decay measurements showed that the lifetime of the samples was in the nanosecond range. Cytotoxicity analysis of the nanoparticles was carried out on L929 fibroblast cells, which confirmed that the nanoparticles are biocompatible across a wide range of concentrations. Our findings indicate that CaS:Tb nanophosphor could be a potential candidate as a green-emitting phosphor in optoelectronics and biomedical field. 2020, Springer Science+Business Media, LLC, part of Springer Nature. -
Calcium Sulfide Based NanophosphorsA Review on Synthesis Techniques, Characterization and Applications
Calcium sulfide (CaS) is a widely investigated alkaline earth sulfide nanophosphor with promising applications in optoelectronics and biomedical fields due to its excellent photoluminescence properties. The selection of the synthesis method is a crucial factor in determining the efficacy of nanophosphors for various applications. This review provides a comprehensive overview of the various synthesis techniques employed to develop CaS nanophosphors, including solvothermal, alkoxide, sol-gel, microwave, wet chemical co-precipitation, solid-state diffusion, and single-source precursor methods. The structural and optical properties of CaS nanophosphors are discussed in detail, highlighting the influence of different dopants on the emission color, which can be tuned from blue to red. The review also explores the potential applications of CaS nanophosphors in optoelectronics and biomedicine. This review serves as a valuable resource for researchers interested in developing CaS nanophosphors for various optoelectronic and biomedical applications, providing insights into the latest advancements and future prospects in this field. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024. -
A comparison of in vitro cytotoxicity of undoped and doped surface modified CaS nanoparticles
In the present study we compare the cytotoxicity of undoped and doped surface modified CaS nanoparticles synthesized by wet chemical co-precipitation technique using L929 human fibroblasts cell lines. The toxicity was determined by evaluating the cell viability and changes in cell morphology. In addition, the half-maximal inhibitory concentration (IC50) values for all the samples were also compared. This analysis shows that undoped and terbium doped TEOA capped CaS nanoparticles are more biocompatible and will be better candidates for various applications in the biomedical field. 2021 Elsevier B.V. -
A Comparative Study of the Nonlinear Optical Properties of CaO Nanoparticles and rGO-CaO Nanocomposites
Recently, graphene-based materials decorated with metal/metal oxide nanoparticles have gained significant interest among researchers owing to their wide range of technological applications. In this study, we synthesized reduced graphene oxide-calcium oxide nanocomposites (rGO-CaO) using a one-pot solvothermal technique. The third-order nonlinear optical (NLO) properties of CaO nanoparticles and (rGO-CaO) nanocomposites were explored by performing a single-beam Z-scan experiment. Since the samples exhibited reverse saturation absorption behavior (RSA) and a negative nonlinear index of refraction, CaO nanoparticles are promising candidates for nonlinear optical limiting and optical switching applications. Indian Association for the Cultivation of Science 2024. -
Foreground algorithms for detection and extraction of an object in multimedia
Background Subtraction of a foreground object in multimedia is one of the major preprocessing steps involved in many vision-based applications. The main logic for detecting moving objects from the video is difference of the current frame and a reference frame which is called "background image" and this method is known as frame differencing method. Background Subtraction is widely used for real-time motion gesture recognition to be used in gesture enabled items like vehicles or automated gadgets. It is also used in content-based video coding, traffic monitoring, object tracking, digital forensics and human-computer interaction. Now-a-days due to advent in technology it is noticed that most of the conferences, meetings and interviews are done on video calls. It's quite obvious that a conference room like atmosphere is not always readily available at any point of time. To eradicate this issue, an efficient algorithm for foreground extraction in a multimedia on video calls is very much needed. This paper is not to just build Background Subtraction application for Mobile Platform but to optimize the existing OpenCV algorithm to work on limited resources on mobile platform without reducing the performance. In this paper, comparison of various foreground detection, extraction and feature detection algorithms are done on mobile platform using OpenCV. The set of experiments were conducted to appraise the efficiency of each algorithm over the other. The overall performances of these algorithms were compared on the basis of execution time, resolution and resources required. 2020 Institute of Advanced Engineering and Science. -
Sentiment Analysis on Indian Government Schemes Using Twitter data
People use social media for entertainment, fetching information, news, business, communication and many more. Few of such social media applications are Facebook, Twitter, WhatsApp, Snapchat and so on. Twitter is one among the micro blogging websites. We are using Twitter mainly because it has gained a lot of media attention. The text written is referred to as tweets, where a common man can tweet or can write their hearts out. We would be fetching the direct responses from the public and hence the data is more real-time. First step is to fetch the tweets on a particular scheme using python language code followed by the cleaning process then comes the creation of bag of words. Later these bags of words are given as an input to the algorithms. Finally, after training the algorithms, we will be getting the sentiment of the public on that scheme. 2019 IEEE. -
Green Synthesis of Hydroxyapatite Nanoparticles Using Semecarpus anacardium Linn leaf Extract: Examination of Anticancer Activity and its Apoptosis Induction
Nanotechnology and biomedical sciences enable diverse molecular and cellular applications. Plant-mediated biosynthesis of nanoparticles, a green chemistry approach, offers a cost-effective, eco-friendly alternative to traditional methods. This study focuses on developing hydroxyapatite nanoparticles (HA-NPs) using Semecarpus anacardium Linn (SAL) leaf extract (termed SAL@HA-NPs) as a capping agent and reducing agent. The presence of needle-shaped nanostructures was verified using SEM and TEM investigation. The presence of well-defined rings in the selected area electron diffraction (SAED) patterns provided evidence for the polycrystalline nature of the SAL@HA-NPs). The XRD spectrum exhibited clear peaks that closely corresponded to the hexagonal patterns of HA, indicating a mean crystalline diameter of 54.25nm. The FTIR analysis revealed the presence of biomolecules from Semecarpus anacardium Linn leaves on the surface of the nanoparticles. The suspension of SAL@HA-NPs displayed a polydispersity index of 0.445 and demonstrated excellent stability, as indicated by the zeta potential of -32.2 mV, as observed in the DLS tests. The SAL@HA-NPs exhibited a harmful effect on the HeLa cervical and HepG2 liver cancer cells, with an IC50 value of 52g/mL. Fluorescence microscopy revealed the deformation of the damaged cell membrane, fragmentation, and cell death following treatment with SAL@HA-NPs. The Annexin V-FITC and PI staining confirmed the mode of apoptosis by flow cytometric analysis. Thus, the SAL@HA-NPs acquired in this study could have a crucial impact on the biomedical domain of cancer treatment. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024. -
A Comparative Study of the Nonlinear Optical Properties of CaO Nanoparticles and rGO-CaO Nanocomposites
Recently, graphene-based materials decorated with metal/metal oxide nanoparticles have gained significant interest among researchers owing to their wide range of technological applications. In this study, we synthesized reduced graphene oxide-calcium oxide nanocomposites (rGO-CaO) using a one-pot solvothermal technique. The third-order nonlinear optical (NLO) properties of CaO nanoparticles and (rGO-CaO) nanocomposites were explored by performing a single-beam Z-scan experiment. Since the samples exhibited reverse saturation absorption behavior (RSA) and a negative nonlinear index of refraction, CaO nanoparticles are promising candidates for nonlinear optical limiting and optical switching applications. Indian Association for the Cultivation of Science 2024. -
Depression, anxiety, stress and marital adjustment among women
Marriage, especially for women in a patriarchal society involves a huge transition process. The struggle with new responsibilities and expectations is overwhelming in itself. But with the feelings of worthlessness and feeling trapped and bound in a loveless and thankless bond, come distress and adjustment issues. According to a recent Nielsen survey on 'Women of Tomorrow', out of 21 nations and 6500 women, India is a leading nation when it comes to stress in women. About 87% of women were stressed most of the time and 82% claimed that they did not find time to relax. Women in the age range from 22 years to 55 years are the most stressed and are struggling hard to strike a balance between their home lives, social activities and jobs. The present study aims to examine depression, stress, anxiety and adjustment issues among women. A total of 80 married women were selected for the study with 40 working and 40 non-working women. The Revised Dyadic Adjustment Scale and Depression Anxiety Stress Scales were administered to collect data. Negative relationship was obtained between stress, anxiety depression and marital adjustment among married women. Anxiety and Marital adjustment are moderately correlated (-.346) while Stress (-.454) and Depression (-0.487) are highly correlated with marital adjustment. 2020 Journal of International Women's Studies. -
Unique synergism in flame retardancy in ABS based composites through blending PVDF and halloysite nanotubes
This study demonstrates flame retardant materials designed using bi-phasic polymer blends of acrylonitrile butadiene styrene (ABS) and polyvinylidene fluoride (PVDF) containing halloysite nanotubes (HNTs) and Cloisite 30B nanoclay. The prepared blends with and without nanoparticles were extensively characterized. The nanoparticles were added in different weight concentrations to improve the flame retardancy. It was observed that prepared ABS/PVDF blends showed better flame retardancy than ABS based composites. The flame resistance was further improved by the addition of nanoparticles in the blends. The microscale combustion calorimetry (MCC) test showed better flame resistance in ABS/PVDF blends filled with 5 wt% HNTs than other composites. The total heat release of ABS/PVDF blend filled with 5 wt% HNTs decreased by 31% and also the heat of combustion decreased by 26% as compared to neat ABS. When compared with nanoparticles, the addition of PVDF reduced the peak heat release rate (PHRR) and increased the char residue more effectively. A synergistic improvement was observed from both PVDF and HNTs on the flame resistance properties. 2017 IOP Publishing Ltd. -
Empowering Tribal Communities: Unveiling the Role of Skill Proficiency, Demographics, and Economic Pathways in Wayanad
The complex relationship between skill proficiency, demographics, and economic empowerment among the tribal communities in Kerala's Wayanad district is examined in the study Empowering Tribal Communities, Unveiling the Role of Skill Proficiency, Demographics, and Economic Pathways in Wayanad. The study examines how gender, age, income, and education affect skill development and how that affects resilience and economic prospects using a quantitative research approach. Important insights are revealed by stratifying data from a representative sample of 200 tribal members based on important demographic characteristics. Chi-Square tests, regression models, and structural equation modelling (SEM) are examples of descriptive and inferential techniques that show how skill development promotes economic inclusion. The findings indicate that skill competency is strongly correlated with higher education levels (p?<?0.0001) and has a significant impact on monthly income levels (R2?=?0.263, p?<?0.05). Nevertheless, neither gender nor skill proficiency were shown to be significantly correlated with skill type or age group (p?>?0.05). The SEM framework's path analysis shows that skill development directly improves market connections (??=?0.55), digital literacy (??=?0.70), social inclusion (??=?0.50), and economic possibilities (??=?0.65), all of which contribute to economic empowerment (??=?0.40). However, these effects are sometimes hampered by obstacles like restricted access to resources. The results highlight the need for focused skill-development programs that tackle educational inequalities and infrastructure obstacles. Policymakers, educators, and community organisations looking to improve tribal communities through customised interventions that promote socioeconomic stability and resilience in the face of persistent difficulties can benefit from the practical insights this research offers. The Author(s), under exclusive license to Springer Nature Switzerland AG 2026. -
Assessing the Environmental and Health Impacts of Cashew Processing: Pathway Analysis of Pollution Sources, Emissions, and Intervention Strategies
This study investigates the environmental and health impacts of cashew processing in Kollam, Kerala, renowned globally as the Cashew Capital of the World. While the cashew industry is a significant economic driver, providing employment to thousands primarily women and boosting Kerala's export revenue, its environmental footprint has raised growing concerns. Cashew processing generates considerable waste, including emissions from the roasting process, shell waste, and pollutants, which affect air, water, and soil quality. These environmental issues pose a threat to nearby ecosystems and raise health risks for workers and local communities, including respiratory, skin, and cardiovascular conditions due to exposure to toxic fumes and chemical residues. This study aims to balance economic advantages with environmental sustainability by conducting a pathway analysis of pollution sources, emissions, and potential interventions. Employing a mixed-method approach that includes stratified sampling and statistical techniques such as Chi-Square Tests and Structural Equation Modeling (SEM), the research assesses pollution levels, health impacts, and current sustainability practices within the industry. Through a comprehensive evaluation, the study offers actionable recommendations for mitigating the environmental impact of cashew processing. This analysis provides a foundation for policy reforms and green technology adoption, ensuring the long-term viability of Kollam's cashew industry while safeguarding public health and ecological balance. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025. -
Explainable artificial intelligence framework for wind turbine fault detection using random forest Extreme gradient boosting hybrid model
Though wind energy has great promise for clean energy generation in India, operational inefficiencies and underutilization still present major obstacles. Although installed wind capacity exceeds 51. 3 GW, actual power generation is still significantly lower than predicted mostly because of weak fault detection and maintenance techniques. Existing machine learning (ML) methods offer high accuracy but typically lack transparency in their forecasts, therefore making it difficult for engineers to correctly interpret and act on model outputs. This research aims to develop an understandable and high-performance anomaly detection model using real-time SCADA data from an Indian wind plant. This research aims to develop an understandable and high-performance anomaly detection model using real-time SCADA data from an Indian wind plant. A hybrid ensemble approach integrating Random Forest and XGBoost is proposed, combined with Local Interpretable Model-Agnostic Explanations (LIME) to provide local interpretability of predictions. The model was trained and evaluated on actual SCADA data using SelectKBest for feature selection, SMOTE for handling class imbalance, and RandomizedSearchCV for hyperparameter optimization. The tuned hybrid model achieved outstanding performance, with an accuracy of 0.9995, F1-score of 0.9995, and minimal error rates (MAE and MSE = 0.00052). LIME-based interpretability highlighted key features driving predictions, with Nacelle Temperature and Gearbox Temperature consistently emerging as critical indicators of turbine braking events, underscoring the importance of thermal variables in fault diagnosis. The findings suggest that interpretable machine learning not only enhances root cause analysis but also supports proactive maintenance, particularly by emphasizing improvements to cooling systems to reduce thermal failures. By providing transparent and reliable insights, the proposed solution enables wind farm operators to make informed, timely decisions, thereby improving turbine reliability and energy yield. The framework is practical, explainable, and well-suited for deployment in smart wind farms, aligning with the United Nations Sustainable Development Goals, including SDG 7 (Affordable and Clean Energy), SDG 9 (Industry, Innovation, and Infrastructure), and SDG 12 (Responsible Consumption and Production) 2025 The Author(s) -
Dynamics of public debt sustainability in major Indian states
This study empirically tests whether the public debt is sustainable or not at 22 major Indian states during 200607 to 201516. It employs the Bohn model for panel data, five alternative specifications and p-spline technique to analyze the issue at aggregate and disaggregate levels. While the results indicate that the debt is sustainable at the aggregate level, it is sustainable only in about 11 states. The results suggest that the fiscal reaction function is linear and the central grant-in aid is an important and a significant undermining factor of sustainability. If the grant-in-aid is excluded from the primary balance, there remain significant positive responses at the aggregate level. However, at the disaggregate level it is significant in only 11 states. Further, the most sustainable states fail to meet the no-Ponzi condition and so the policy intervention is required to improve the debt situation of the states where debt is unsustainable. 2019, 2019 Informa UK Limited, trading as Taylor & Francis Group. -
Comparing the Accuracy of CNN Model with Inception V3 for Music Instrument Recognition
Identification of music instruments from an audio signal is a complex but useful task in music information retrieval. Deep Learning and traditional machine learning models are extremely very useful in many music related tasks such as music genre classification, recognizing music similarity, identifying the singer etc. Music Instrument recognition and classification would be helpful in categorizing different categories of music. Many researchers have proposed models for classifying western music instruments. But very little research has been done in identifying instruments accompanied with South Indian music. This research aims at identifying string instrument such as violin and woodwind instrument such as flute accompanied in a Carnatic music concert and also in other categories of music. In order to identify the instruments accompanied, Convolutional Neural Network model and Inception V3 models were used. The Mel Frequency Cepstral Coefficients images were extracted from the audio input and fed in to the neural network model. The model has been trained for the above mentioned instruments, tested and validated on different types of audio input. This research also evaluates the performance of Inception V3 transfer learning model with CNN model in recognizing the instruments used in different categories of music. 2024, Ismail Saritas. All rights reserved. -
Influence of grandparents on the emotional intelligence of early adolescents in Kerala
Children find unique acceptance in their relationships with grandparents, which benefits them emotionally and mentally. The presence of grandparents in the family can be a source of great support for other family members, especially children and adolescents. They are often role models, playmates and mentors for younger generations. The aim of the study is to compare emotional intelligence of adolescents with regard to the influence of grandparents through a quantitative research design. The sample taken for this research comprised of 427 adolescents of VIII to XII standards, among which 278 were from nuclear families and 149 from three generation families. They belonged to ten different government aided urban state syllabus English medium schools in Kerala. Mangal Emotional Intelligence Inventory was used to yield the total score and four dimensional scores in areas of Intrapersonal awareness, Interpersonal awareness, Intrapersonal management and Interpersonal management in adolescents. An independent sample t-test between two types of families indicated that grandparents have an influence on the emotional intelligence of adolescents. Journal of the Indian Academy of Applied Psychology. -
Enhanced Horse Optimization Algorithm Based Intelligent Query Optimization in Crowdsourcing Systems
Crowdsourcing is a strategy of collecting information and knowledge from an abundant range of individuals over the Internet in order to solve cognitive or intelligence intensive challenges. Query optimization is the process of yielding an optimized query based upon the cost and latency for a given location based query. In this view, this article introduces an Enhanced Horse Optimization Algorithm based Intelligent Query Optimization in Crowdsourcing Systems (EHOA-IQOCSS) model. The presented EHOA-IQOCSS model mainly based on the enhanced version of HOA using chaotic concepts. The proposed model plans to accomplish a better trade-off between latency and cost in the query optimization process along with answer quality. The EHOA-IQOCSS is used to compute the Location-Based Services (LBS) namely K-Nearest Neighbor (KNN) and range queries, where the Space and Point of Interest (POI) can be obtained by the conviction level computation. The comparative study stated the betterment of the EHOA-IQOCSS model over recent methods. 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.