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Biogenic ZnO Nanoparticles Derived from Garcinia gummi-gutta Leaves: Synthesis, Characterization and its Multifaceted Applications
The current study focused on the bioreduction synthesis of ZnO nanoparticles using Garcinia gummi-gutta leaf extracts. The UV-vis analysis of the nanoparticles has reported the formation of an SPR peak at 379 nm. The functional groups taking part in the reduction reaction were analyzed using the FTIR technique and the average crystalline size of ZnO nanoparticles were found to be 22.27 nm from XRD measurements. The SEM and TEM images revealed the hexagonal shape of the nanoparticles with an average size 72.78 nm and 71.91 nm, respectively. Further, the synthesized nanoparticles were reported to be efficient degradation reactive textile dyes. The photodegradation results reported 92-100% degradation of the reactive dyes within 80-320 min. The antibacterial efficacy of the nanoparticles was investigated and the MIC of the nanoparticles was found to be 100 g/mL. The synthesized ZnO nanoparticles have exhibited significant cytotoxic effects on the MCF and HEP-G2 cell lines. 2024 Asian Publication Corporation. All rights reserved. -
Garcinia indica Leaf Extract Derived Ag-Zn Nanocomposites: A Sustainable Approach for Textile Dyes Photodegradation
The recent advancements for the biosynthesis of nanoparticles from plant biomass offer a promising avenue for the sustainable and environmentally friendly production of nanomaterials. The utilization of plant extracts as bioreductants and capping agents leverages naturally occurring biomolecules for the controlled synthesis of nanoparticles, minimizing environmental impacts and promoting a more sustainable nanotechnology landscape. This study explores the biofabrication of silver-zinc nanocomposites (Ag-Zn NCs) using Garcinia indica leaf extract, offering a green and sustainable alternative to conventional methods. The synthesized nanocomposites were characterized using UV-vis, FTIR, XRD and TEM analyses. The UV-vis spectra confirmed the formation of nanocomposites with distinct surface plasmon resonance peaks (355 nm and 408 nm). FTIR identified functional groups involved in the bioreduction, while XRD indicated a crystalline size of 6.26 nm. TEM images revealed a mixture of hexagonal, spherical and rod-shaped nanocomposites with an average size of 40.37 nm. Furthermore, the study evaluated the photocatalytic activity of the Ag-Zn NCs against various reactive textile dyes (RY-86, RY-145, RB-220 and RB-222). Remarkably, the nanoparticles achieved an impressive 87-100% degradation of these dyes within 160-320 min under UV irradiation. This highlights the potential of biofabricated Ag-Zn NCs for environmental remediation, particularly in treating dye contaminated industrial effluents. This work demonstrates the feasibility of using G. indica leaf extract for the sustainable synthesis of Ag-Zn NCs with efficient dye degradation capabilities. 2024 Asian Publication Corporation. All rights reserved. -
Synthesis of Nanoflowers using Garcinia gummi-gutta Leaf Extract via Green Route for Enhanced Antifungal and Anti-cancerous Activities
Due to its envisaged relevance in nanomedicine and materials research, the bio-engineering of nanoparticles (NPs) is becoming progressively more promising. Compared to physical and chemical processes, green synthesis produces NPs that are less hazardous to the environment. The usage of phytochemicals in Garcinia gummigutta (L.) leaf extract (GGL) in the bio-reduction of GGL-Ag NPs with potential antifungal and anti-cancerous activities was the main focus of the current study. UV-vis spectrophotometry at 442 nm verified the synthesized GGL-Ag NPs. The average diameters of the synthesized GGL-Ag NPs were determined by scanning electron microscopy (SEM and zeta-sizer studies to be 166.69 nm and 148.2 nm, respectively. Energy dispersive X-ray spectroscopy (EDS) and X-ray diffraction (XRD) examinations of the GGL-Ag NPs confirmed the crystalline nature and the elemental constitution of the NPs. Additionally, the synthesized GGL-Ag NPs' FTIR spectra demonstrated the presence of Phyto components acting as capping agents. Zeta potential measurements (-26.2 4.13 mV) authenticated the stability of the synthesized GGL-Ag NPs. Antimicrobial activity testing of the GGL-Ag NPs demonstrated considerable suppression against Candida tropicalis and Candida albicans at a dose of 100 g/ml and 60 g/ml. Additionally, the synthesized GGL-Ag NPs have demonstrated considerable cytotoxic effects on the Hep-G2 cell line. The current study results show that GGL-Ag NPs may be produced at a low cost and with minimal environmental impact for nanobiotechnology and biomedicine usage. 2024, Brawijaya University. All rights reserved. -
Exploring the Central Region of NGC 1365 in the Ultraviolet Domain
Active galactic nuclei (AGN) feedback and its impact on their host galaxies are critical to our understanding of galaxy evolution. Here, we present a combined analysis of new high resolution ultraviolet (UV) data from the Ultraviolet Imaging Telescope (UVIT) on AstroSat and archival optical spectroscopic data from the Very Large Telescope/MUSE, for the Seyfert galaxy, NGC 1365. Concentrating on the central 5 kpc region, the UVIT images in the far- and near-UV show bright star-forming knots in the circumnuclear ring as well as a faint central source. After correcting for extinction, we found the star formation rate (SFR) surface density of the circumnuclear 2 kpc ring to be similar to other starbursts, despite the presence of an AGN outflow, as seen in [O iii] 5007 On the other hand, we found fainter UV and thus lower SFR in the direction southeast of the AGN relative to northwest in agreement with observations at other wavelengths from JWST and Atacama Large Millimeter/submillimeter Array. The AGN outflow velocity is found to be lesser than the escape velocity, suggesting that the outflowing gas will rain back into the galaxy. The deep UV data have also revealed diffuse UV emission in the direction of the AGN outflow. By combining [O iii] and UV data, we found the diffuse emission to be of AGN origin. 2024. The Author(s). Published by the American Astronomical Society. -
Transgenders in the Mainstream: Welfare Schemes in KeralaKochi Metro Rail Project, Education Programme, Health Clinics, and Old-Age Pension
Marginalization is the process which inhibits an individual or community from enjoying the rights, privileges, resources or opportunities enjoyed by other members of the society. Of all its marginalized sections, society most often tends to ignore the conditions of transgender persons. The 2011 census reported 480,000 of Indias population as transgender. Kerala pioneered a model for a trans-friendly state1 with the launch of a 10-day-long state-wide survey, which was followed by the introduction of a state policy for transgender individuals, the establishment of a justice board and Indias first transgender school, scholarships for transgender individuals and the introduction of health clinics, old-age pensions and employment for them in the Kochi Metro, as well as various literary, sports and fashion events. This study is an attempt to critically explore the welfare schemes for transgender persons in Kerala amidst recent developments. 2021 SAGE Publications. -
Perceived stress and fatigue in software developers: Examining the benefits of gratitude
Software development demands creativity and adept problem-solving skills. However, long-term stress and fatigue might impede these skills in software developers. From the perspective of positive psychology, this cross-sectional study investigated the effects of gratitude, age, and gender on stress and fatigue in 421 participants, 244 males (58 %) and 177 females (42 %), aged between 21 and 57 years (M = 36.20; SD = 7.56). The tools employed included the multi-component gratitude measure, perceived stress scale and fatigue assessment scale. Multiple linear regressions confirmed the beneficial effects of gratitude, and they indicated higher levels of perceived stress and fatigue in women and younger professionals. These findings have positive implications for organisational psychologists, as they signify the favourable impacts of gratitude in mitigating stress and fatigue in software developers. The authors recommend that organisational practitioners should focus on enhancing the professionals' well-being by strategizing and implementing gratitude training programmes. 2022 Elsevier Ltd -
Perceived stress among information technology professionals in India during the COVID-19 pandemic
The Information Technology (IT) industry in India is an integral part of the nations economy. The COVID-19 pandemic is a cause of disquietude and is probably the gravest challenge encountered by the IT industry at present. Although the IT industry has contributed to varied sectors globally amid the crisis, IT professionals encounter a profusion of mental health challenges. Despite this, there have as yet been limited studies focusing on the mental health impact on IT professionals during this period. This study strives to explore the role of socio-demographic factors on perceived stress and to examine the association between gratitude and perceived stress among IT professionals in India during the pandemic. Data from 219 participants were included for analysis in this cross-sectional, correlational study. Findings suggest that there exists a significant difference in perceived stress based on gender, marital status, and parental status. Furthermore, the results demonstrate a significant negative association between gratitude and perceived stress. The study contributes to the field of cognitive ergonomics and broadens the theoretical knowledge base of perceived stress based on socio-demographic elements. Findings also have positive implications for organisational psychologists as they suggest that encouraging a focus on gratitude could aid in lower perceived stress. 2021 Informa UK Limited, trading as Taylor & Francis Group. -
Gratitude as a path to human prosperity during adverse circumstances: a narrative review
Although each person faces their own share of challenges, it is their individual perception and responses to these difficulties that determine how they are affected by them. In this paper we investigate the association between gratitude and human prosperity including the underlying mechanism that helps people thrive during trying circumstances. We survey the literature, examining how gratitude enables people to prosper amidst adversity and employ a narrative style to present these unique characteristics. This review suggests that gratitude enhances coping abilities, such as meaning-focused coping and positive reframing, which foster positive emotions and augment personal resources like resilience, perseverance, and social bonds. These elements, in turn, may possibly explain the association between gratitude and human prosperity during dire circumstances. 2023 Informa UK Limited, trading as Taylor & Francis Group. -
Importance of positive emotions in software developers performance: a narrative review
Software development depends heavily on human efforts and collaborations, which are simultaneously influenced by human emotions, and it is considered among the most difficult tasks. Software developers are susceptible to various health concerns such as burnout, anxiety and depression due to the work nature and demands of the software industry, and this may have detrimental effects on their performance. However, evidence portray significant beneficial effects of positive emotions on well-being, growth, and success. Accordingly, this paper investigates the relevance of positive emotions among software developers and strives to understand how positive emotions benefit developers performance. It surveys literature that examine the importance of affect among developers and the benefits of positive emotions on human well-being and employs a narrative style to present these aspects. This review discusses the potential mechanisms that underlie the association between frequent experiences of positive emotions and improved performance and suggests that positive emotions benefit developers performance. This emotional awareness has the potential to enhance the developer efficacy, thus contributing to the discipline of ergonomics. Findings also have positive implications for organisational counsellors as they help in developing and maintaining a positive organisational climate. 2022 Informa UK Limited, trading as Taylor & Francis Group. -
Optimizing Functional Feed for Growth and Pathogen Resistance in Oreochromis niloticus using Fermented Seaweeds: A Comprehensive Approach Through Solid State Fermentation and Oxidative Stress Response
The study aimed to explore the potential of seaweeds Sargassum wightii and Gracilaria corticate fermented using Bacillus subtilis MN960600 (CK4). Fermented seaweeds showed enhanced antioxidant activity in DPPH assays. A second-order model known as Box-Behnken was used to create an optimized quadratic design for fermentation parameters enhancing protein, reducing sugars, and lipid yields. This optimized feed demonstrated significant growth improvement of 18 to 20 % in Oreochromis niloticus when compared to commercial feed and a 35 to 40% higher growth in fermented and non-fermented feed groups. Additionally, fish fed formulated seaweeds exhibited resilience to Vibrio harveyi and Aeromonas hydrophila pathogen stress. Additionally, the study highlighted the ability of the formulated seaweed in reduction of oxidative stress caused by pathogens Vibrio harveyi and Aeromonas hydrophila in Oreochromis niloticus. The study emphasized the potential use of seaweeds and probiotic bacteria as a sustainable aquafeed. 2025, Egyptian Society for the Development of Fisheries and Human Health. All rights reserved. -
Resilience-oriented optimal integration of photovoltaic, fast-charging stations, and energy storage systems in radial distribution systems
This study proposes a bilevel, resilience-oriented optimization framework for the coordinated allocation of photovoltaic (PV) and fast-charging stations (FCS) and battery energy storage with DSTATCOM (BESDSTATCOM) in radial distribution networks. Unlike existing approaches, the proposed method captures both the grid-connected performance and islanding resilience within a unified framework. The problem is formulated as a single-objective optimization to minimize the real power loss, while the voltage profile and greenhouse gas (GHG) emissions are evaluated as performance indices. The complexity of the single-objective, multi-constraint, and multivariable optimization problem was solved using the Crayfish Optimization Algorithm (COA), which was selected for its balanced explorationexploitation capability and fast convergence characteristics compared with conventional algorithms. The results on the IEEE 33-bus radial distribution network reveal that the uncoordinated integration of FCSs significantly deteriorates the system performance, increasing the real power losses by 48, 163, and 183% and GHG emissions by 28, 53, and 67% for one, two, and three FCSs, respectively. However, coordinated PV integration effectively mitigates these impacts, achieving up to ?93% loss reduction, improving the minimum voltage from 0.913 p.u. to 0.992 p.u., and reducing GHG emissions by up to ?88%. Furthermore, optimal PV penetration levels (up to 86.6%) are critical for emission reduction. Under islanding conditions, the BESDSTATCOM ensures energy balance and can effectively neutralize grid-based emissions. Comparative analysis confirmed that COA provided robust and consistent convergence compared to HPO and AOA. Overall, the study contributes to the achievement of United Nations goals, particularly Sustainable Development Goal 7 (Affordable and Clean Energy), Sustainable Development Goal 11 (Sustainable Cities and Communities), and Sustainable Development Goal 13 (Climate Action), by promoting sustainable energy integration, cleaner transportation, and reduced environmental emissions within modern power distribution systems. 2026 The Authors. Publishing services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd. This is an open access article under the CC BY-NC-ND license. http://creativecommons.org/licenses/by-nc-nd/4.0/ -
The Mediating Role of Normative Male Alexithymia on the Relationship Between Traditional Masculinity Ideology and Emotional Intelligence Among Indian Men
This study investigates the association between traditional masculinity ideology (TMI) and emotional intelligence (EI) among 319 young cisgender heterosexual Indian men, examining the mediating role of normative male alexithymia (NMA). Data showed that stronger endorsement of TMI correlated with lower emotional intelligence (? = ?.18, p < .001), with NMA mediating this relationship (? = ?.28, p < .01). These findings highlight how unhealthy masculinity norms may impact emotional awareness and expression. Understanding this relationship within the context of postmodern patriarchal India offers insights into mens emotional experiences and highlights the need for psychoeducation and tailored mental health interventions. Promoting emotional intelligence could help challenge rigid gender norms, fostering healthier emotional expression and gender equality. 2025 SAGE Publications -
Risk Analysis Using Ensemble Learning Model for Smart Energy Sustainability in Indian Cities
Analyzing risks involved in smart energy sustainability entails identifying, assessing, and mitigating diverse types of risks that include financial, operational, and environmental factors that can affect the dependability, efficiency, and ecological friendliness of energy systems in smart cities. The study uses a high-frequency dataset from smart meters in Mathura and Bareilly districts in India collected over 2 years from May 2019 to October 2021 which contains millions of data points. To forecast energy consumption patterns and reveal possible risks we used machine learning models like linear regression, random forest, gradient boosting, and extra tree classifier. By using several machine learning algorithms such as multiple linear regression (MLR), classification trees (CTs), random forests (RFs), and support vector machines (SVMs) this paper developed an empirical model to establish an interrelationship between district heating systems investments influence on the performance improvement variables for sustainable development goals. Notably, the ensemble learning approach had a remarkable precision rate of 94.69% indicating its importance in forecasting and managing demand for power. Moreover, the findings provide insights that could help policymakers and service providers improve urban energy sustainability and efficiency. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025. -
Supply chain performance measurement practices of Indian industries
In any industry, the supply chain performance plays a crucial role and it is vital in growth of the industry. Through this study, an attempt is made to find some insight to the supply chain performance measurement practices of Indian industries through an exploratory survey. The study reveals almost all the respondents (84%) felt that supply chain performance measurement system employed in their organisation has a clear purpose. Also, the study reveals that most supply chain performance measurement system provides high importance to quality measurements and includes both financial and non-financial indicators. The Multivariate analysis revealed three factors emerged from this study are 'Strategic Orientation' followed by 'Internal Focus' and 'Motivation and Control'. The study contributes to understanding the objectives of implementing supply chain performance measurement systems and metrics (measures) used in supply chain performance measurement systems. ExcelingTech Pub. -
House of sustainable waste management: An implementation framework
Manufacturing industries consume large amounts of natural resources as inputs to production in order to generate much lower amounts of useful products, leaving a major part of the inputs as by-products which are wastes. Waste disposal, in the present form, has significant adverse impacts on the environment as it can result in pollution of many forms. The present research critically examines the various revolutionary concepts of 'cradle to cradle (C2C)', 'design for green (DfG)', 'triple top line' and 'waste is food' as applied to industrial waste management. The exploratory study examines the prevailing practices and suggests approaches for sustainable industrial waste management. The paper proposes the 'house of sustainable waste management' which is a reference framework for industrial waste management which comprises three parts, 'the hierarchy', 'the pillars' and 'the foundations'. The proposed framework is conceptual in nature and provides a direction for implementation of sustainable industrial waste management. Copyright 2018 Inderscience Enterprises Ltd. -
Analysis and measurement of supply chain flexibility
Supply chain flexibility is a strategic and tactical necessity for sustenance and progress of business enterprises. Measurement of flexibility is therefore necessary for its monitoring, control and communication. The study proposes a framework and a methodology for flexibility performance measurement of supply chains. The framework identifies flexibility objectives and its contributing attributes at four levels of the supply chain and suggests taxonomy of flexibility performance measures. A methodology to prioritise the contribution of each performance attribute to achieve the desired flexibility objective using analytic hierarchy process (AHP) has also been proposed and demonstrated in this study. The research is based on detailed literature-based study and analysis of existing frameworks of flexibility performance measurement in supply chain and expert opinion. The proposed framework is suitable for measurement, monitoring and controlling flexibility in a supply chain in addition to prioritising contributing attributes of flexibility. The research does not test the model but suggests a platform for further development. Copyright 2015 Inderscience Enterprises Ltd. -
Decoding math : A review of datasets shaping AI-driven mathematical reasoning
Math problem solving is a fundamental part of the modern era, and artificial intelligence (AI) driven mathematical reasoning has become an essential part of data work. In this literature review, we explore the diverse array of datasets intended to improve AI models capacity to solve mathematical word problems. These datasets not only provided diverse problem sets but also served as benchmarks for evaluating the performance of various deep learning models, including recurrent neural networks (RNNs) and graph-based models. The datasets, particularly GSM8K, posed challenges that even the most sophisticated transformer models struggled to overcome, setting a new standard for the study of AI systems in math problem solving. This literature review aims to provide a comprehensive overview of the evolving landscape of mathematical problem solving, paving the way for future advances in AI-driven mathematical reasoning. 2025, Taru Publications. All rights reserved. -
Specific learning disability and psychological impact among school going adolescents
Specific Learning disability (SLD) is a mental health concern among school going children in India. Considering the need for early identification and intervention, this study has been contextualized to explore the impact. Methodology: Samples have been selectedfrom five schools which are situated in South Bengaluru, India, 100 children have been identified with SLD and further they have been screened for mental health Problems. Results: High prevalence ofmild to moderate anxiety, depression and stress is major finding of the study. High rate of anxiety (37%), depression (47%) and stress (33%) among adolescents with SLD indicate the gravity of the problem. Conclusion: Findings underline the need of the structured interventions by school psychologists in school settings. 2019 Institute for Leadership and Organization Effectiveness. All rights reserved. -
SwinTransConv and Tab-FCNN: a novel SwinTransConv neural network features and tab-fully connected neural network in pap smear images for cervical cancer classification
The primary objective of this paper is to delineate a Deep Learning (DL) methodology for cervical cancer from Pap smear imagery. In the interest of augmenting the quality and equilibrium of the dataset, the initial phase involved executing ROI detection on the Pap smear images. ROI detection is executed using YOLO V4 model in the input Pap smear images for detecting superficial, intermediate and parabasal layers. Then, the segmentation phase is performed to delinate cytoplasm and the nucleus, employing the YOLOv11 model. Subsequently, the feature extraction is executed by the proposed SwinTransConv, which integrates the Swin Transformer with a Convolutional Neural Network (CNN) to yield a robust and hierarchical representation of salient cellular features. The derived features act as input for the classification phase, for which a Tabular-Fully Convolutional Neural Network (Tab-FCNN) model is proposed by combining Tabular Network (TabNet) and Fully Convolutional Neural Networks (FCNN). TabNet identifies significant features from the input dataset utilizing attention-based mechanisms tailored for tabular data, whereas FCNN enhances the final decision-making process by assimilating complex feature interactions. Experimental findings state that the proposed approach reached an accuracy of 97.9%, a sensitivity of 95.4% and a specificity of 99.4%. 2026 Taylor & Francis Group, LLC. -
Exploring the Intersection of Engineering and Health Leveraging 3D Solutions to Tackle Complex Medical Challenges
The medical imaging industry is on the brink of becoming as tangible as the world around us, blurring the lines between the virtual and the real. From compact gadgets to fully tangible anatomical models, medicine and technology have always been intertwined, but never as closely as they are today. This section explores immersive technologies in medicine and healthcare, focusing on virtual, augmented, and mixed reality, with a particular emphasis on the groundbreaking applications of 3D technology in medicine. This integration has ushered in a new era of medical advancements, promising significant progress in diagnosis, treatment, patient care, and healthcare overall. The adoption of 3D techniques, such as magnetic resonance imaging (MRI), computed tomography (CT), ultrasound, and more, enables doctors and clinicians to view anatomical structures as if they were real-life models. This enhances clarity, precision, and conciseness while reducing the risk of medical errors. The virtual world promised by 3D technology is also expected to improve communication skills between healthcare professionals and patients, especially for young medical students. 3D printing has seen significant development in recent years, playing a critical role in various applications, including medicine. This section will focus on three key advancements in 3D printing: its combination with the internet as a delivery vehicle, its integration with medical imaging, and its use in tissue engineering and regenerative medicine. We will also delve into three-dimensional display technologies, such as monoscopic 3D displays, stereoscopic 3D displays, and autostereoscopic displays. Technology's impact is not solely measured by its failures; sometimes, the small successes can save lives that might otherwise be lost. This piece will illustrate how technology could revolutionize medicine and reveal the potential we have yet to fully realize due to fear. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.