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Molecularly imprinted conducting polymer based electrochemical sensor for 4-hexylresorcinal in shrimps /
"Patent Number: 202141044123, Applicant: George Ashlay.
The invention discloses the fabrication of an electrochemical sensor using a molecularly imprinted conducting polymer, which is an extraordinarily proficient and practical electrochemical sensor for quantitative detection of 4-hexylresorcinol (4-HR) in shrimps. 2-aminothiazole (AT) was electropolymerized on the surface of a carbon fibre paper electrode (CFP) in the presence of 4-HR imprinted polymer sheets. To provide precise imprinting sites and control the release of 4-hexylresorcinol templates, bulk-electrolysis was employed. -
B/N-doped carbon dots based fluorescent sensor for picric acid in industrial effluents /
Patent Number: 202141045089, Applicant: Ponmudi Keerthana.
Carbon quantum dots possess excellent physiochemical properties, high photostability. In this work, fabrication of boron functionalised nitrogen doped carbon quantum dot was achieved to detect harmful pollutant as picric acid. Firstly, nitrogen doped CQD was synthesized by rapid microwave approach from L-serine and citric acid which acts as precursor. Then functionalisation with boric acid under reflux condition to obtain B/N-CQD. -
Electrocatalytic oxidation and determination of morin at a poly (2,5-dimercapto-1,3,4-thiadiazole) modified carbon fiber paper electrode /
Journal Of The Electrochemical Society, Vol.163, Issue 8, ISSN:0013-4651 (print) 1945-7111 (web). -
Diversity, Equity, and Inclusion (DEI) Initiatives; Organizational Culture; and Employee Retention: Situational TraitsMediated Model
The primary purpose of this study is to examine the role of diversity, equity and inclusion (DEI) initiatives and organizational culture on employees situational traits and employee retention within contemporary organizational settings. In addition, this study investigates the mediating effects of employees situational traits on the relationships between DEI initiatives and employee retention, as well as on the relationship between organizational culture and employee retention. The study employs structural equation modelling to analyse a sample of 429 working employees. The findings suggest that DEI initiatives have a more substantial influence on employee retention compared to organizational culture. Employee situational traits mediate the effect of organizational culture and DEI initiatives on retention, emphasizing the importance of individual experiences. Therefore, integrating DEI initiatives into the organizational culture can create an inclusive workplace, attracting and retaining a diverse workforce. 2026 The Author(s). This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage). -
Graphene-based nanocomposites for energy conversion and storage
Graphene, consisting of a single layer of carbon atoms organized in a hexagonal pattern, exhibits exceptional electrical, mechanical, and thermal characteristics. The combined effects arising from the synergy of graphene with other materials assume a pivotal role in enhancing the overall performance of energy devices. The initial section of this chapter focuses on the utilization of graphene composites in energy conversion technologies, spanning solar cells, water-splitting devices, and fuel cells. Subsequently, this chapter explores the application of graphene composites in energy storage systems such as lithium-ion batteries and supercapacitors. Graphene provides a significant surface area, facilitates rapid electron transport, and offers mechanical stability, all positively impacting the energy storage capacity and cyclic stability of these devices. Furthermore, the chapter discusses the current research trends, challenges, and future prospects concerning graphene composites for energy conversion and storage applications. 2025 Elsevier Inc. All rights reserved. -
Advancing energy production and storage: Polypyrrole/V2O5/MnO2 composite as a high-performance electrocatalyst
The rise in energy needs in our society has enhanced the requirement for energy production and storage studies. The electrocatalytic hydrogen evolution reaction and supercapattery studies pave the way for producing and storing energy effectively. There is a lot of ongoing work on synthesizing efficient electrocatalysts for such energy related applications. In this study, polypyrrole/V2O5/MnO2 electrocatalyst is synthesized, and various characterization techniques have been utilized for analyzing the formation of the composite. The N2 adsorption-desorption analysis demonstrates the average surface area of the polymer composite as 136.3 m2/g. The high average surface area value suggests the availability of surface active sites on the synthesized polymer composite for energy production and storage. The polypyrrole/V2O5/MnO2 electrocatalyst shows an overpotential of 192 mV and a specific capacity of 1736.1C/g. The synthesized catalyst is used for fabricating an asymmetric supercapacitor, which demonstrates an energy density of 46.8 Wh/kg and a power density of 714.2 W/kg. Polypyrrole/V2O5/MnO2 electrocatalyst is proven to be a competent material for supplementing the energy requirements of our society. 2025 Hydrogen Energy Publications LLC -
Smart Heritage: Leveraging Technology for Cultural Preservation and Sustainable Urban Development in Bangalore, Karnataka
In order to promote urban sustainability in Bangalore, this study explores how technology and data-driven solutions affect cultural tourism. In order to improve historical protection and handle urban issues with waste management, public services, energy efficiency, and transportation, the paper investigates artificial intelligence (AI) and smart tourist technologies. With Urbanization, commercialization, ecological deterioration, and changes in the quantitative and qualitative population dynamics, architecture is a risk and alarming situation for cultural formation of the city. This paper focuses on a qualitative study with case study on interventions for the cultural heritage of Bangalore. The study instrument utilized in the case of qualitative interviews makes aware of the historical nature of the skewness in the patterns of conservation and technology along with the stirred related issues through the historians, government authorities, and other influential personalities of the community. The study presents the possibilities of smart technologies in the field of digitalization and the use of virtual and augmented reality, as well concerns the use of environmental-friendly materials in the process of preservation. Specifically, the conclusions of the presented study concern the need to enhance the focused awareness and involvement of people, as well as the adequate governmental actions in relation to the issue of the preservation of birds. Therefore, the presented paper sets out a theoretical framework that defines the challenges, discussed strategies, and possible resulting impacts Thus, the papers goal entails advancing the policy-making process both on the national and local levels as well as the actions of proactive communities that would like to maintain Bangalores cultural identity for future generations to inherit. The notion of using integration technology in the management of stewardship of heritage also presents a useful means of managing past capitals for use in the future augmenting the vitality and sustainability of the citys economy. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025. -
A TALE FROM GODS OWN COUNTRY: WALKING WOUNDED HILLS AND STRATEGIES TO RESTORE THE PARADISE
This article examines how a destination in crisis recoup after a devastating disaster and how the stakeholders are impacted by the disaster and explores the need of a strong destination governance policy in crisis situation. In the crisis settings the study includes a qualitative approach to understand the stakeholders impact and disaster assessment process that examines various facets of the natural disaster through a structured discussion with the impacted stakeholders. The studys primary focus is on the crisis management strategies adopted by the impacted district, Wayanad; to tackle the challenges that localities face within the devastating situation. This study proposes a framework that could facilitate speedy crisis management responses. The findings indicate the role of governing bodies, in handling crisis management scenario over internal strategies and strategy formulation. The dynamics of stakeholder engagement and tactical perspectives adopted by the state in the given prominence. This study examines how the Governing bodies and practitioners of the local governing authority; interpret the crisis situation and explores the tactical and strategic management initiatives for repositioning and rebranding tourism. The natural calamity has had a significant impact on the Livelihood and Topography of Wayanad, Kerala, India, making it extremely susceptible. This study aims to investigate how community resilience and rehabilitation were impacted by the natural catastrophe and the response of the key stakeholders. Design/ Methodology/ Approach The study analyses the impact of disaster and examine a multi-stakeholder assessment to capture varied dimensions of the disaster through a structured conversation. The research engages a qualitative approach and the data is captured through semi-structured interviews from the local community, tour operators, and destination management companies in Wayanad. A conceptual framework for community resilience competencies is proposed in the study, which may help with quick crisis management responses. The study's sample consists of key stakeholders; including representatives from the tourism industry, including leaders from the community, and local residents. The qualitative findings identify the disaster recovery strategies while, handling crisis management scenarios and examines the resilience mechanism adopted at the disaster struck regions by the stakeholders. The results strongly indicate; an imperative need for a good governance as an archetype for practitioners to lead with tactical and strategic measures to sustain the vulnerabilities. Lack of pre-disaster communications and protocols were missing elements leading to the devastating scenario during the disaster. Mechanisms for boosting tourism was lead well with the help of travel influencers and repositioning the destination image. Along with possible strategies and ideas that can help Wayanad's tourism industry, particularly in the post-disaster phase, this paper indicates strategies to restore the destinations brand identity and reputation. The study supports the "New phase of Normalcy" by including ideas and mitigative measures that the public sector should implement to address safety concerns. The State has well begun with the new reinstating tourism strategy through the new campaign Ente Keralam, Ennum Sundaram (My Kerala Ever Beautiful). 2025 Editura Universitatii din Oradea. All rights reserved. -
A strategic evaluation on competency of Karanataka destinations through destination management organizations /
American Journal Of Industrial and Business Management, Vol.6, pp.102-108, ISSN: 2164-5175. -
Destination governance and a strategic approach to crisis management in tourism /
Journal Of Investment And Management, Vol.5, Issue 1, pp.1-5, ISSN: 2328-7721 (Online), 2328-7713 (Print). -
Research Methodology and Quantitative Techniques: A Guide for Interdisciplinary Research
Research Methodology and Quantitative Techniques is a guide tailored for students and research scholars navigating the intricate landscape of research degrees across various disciplines. From clearing coursework to formulating research synopses, selecting methodologies, conducting analysis and penning impactful theses, this book is a roadmap for every stage of the research journey. It empowers scholars to undertake original, quality research that not only fulfills academic requirements but also contributes to the burgeoning pool of knowledge in diverse fields. Uniquely structured to address the specific needs of researchers, this guide goes beyond traditional boundaries, delving into areas like IPRs and research ethics often overlooked in discipline-oriented texts. By offering comprehensive support, from topic selection to publication, it aims to be the go-to resource for researchers seeking a seamless path from inception to dissemination. This book, Research Methodology and Quantitative Techniques, addresses every facet of research with clarity and insight and serves as both a companion and a vital tool for scholars poised to make a meaningful research impact in their fields. 2025 K.A. Varghese, B.R. Ranwah, Nisha Varghese and Nikhil Varghese. -
Intelligent Systems for Safety and Well-Being: Legal and Ethical Challenges in AI-Driven Healthcare Systems in India
Artificial Intelligence (AI), being one of the most utilized technologies, provides a wide range of opportunities and puts forward major challenges as well. The integration of artificial intelligence into the healthcare sector has the potential to improve the healthcare provided to patients. Artificial intelligence holds great promise for health, but also comes with serious challenges, including unethical data collection, cybersecurity threats, and amplifying biases or misinformation, said Dr. Tedros Adhanom Ghebreyesus, WHO Director-General.The government of India has grabbed all the opportunities to accommodate AI in various sectors and become one of the technologically advanced nations. The healthcare sector is one of these sectors. However, there are also ethical issues, such as informed consent, bias, transparency, andpatient rights, that are being constantly raised. Also, there arelegal issues, such as liability and data protection. Implementation, cost, andaccessibility are some of the practical issues that might arise. The Indian government has taken certain initiatives, such as the release of the National Strategy for Artificial Intelligence by NITI Aayog. These guidelines and unregulated principles are informative but not sufficient. There is a need for a legislative imperative that combines ethical principles with normative standards mandated by overarching laws and sector-specific regulations. This approach aims to protect individual rights, ensure transparency, and foster accountability in AI systems. The regulation should be adaptable and flexible to support innovation while minimizing risks and ensuring human rights and values are protected. This study focuses on the ethical and legal challenges that arise while integrating AI into the healthcare sector in India. The study discusses safety, liability, bias, data privacy, and International best practices while using AI in healthcare. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2026. -
Fluorescent Carbon Dots From Simarouba glauca for Food Safety Applications
The increasing use of food colorants to improve the visual appeal of food products presents challenges in maintaining their safety and quality. While there are numerous safe, natural, and synthetic colorants available, the food industry frequently resorts to using banned dyes to cut costs and boost profits. Consequently, detecting food adulteration involving prohibited dyes is vital. This research presents a quick and effective fluorescence sensor designed to identify metanil yellow dye in water and real samples. A simple microwave-assisted hydrothermal technique was employed to produce carbon dots (CDs) using the leaf extract of Simarouba glauca, which detected metanil yellow dye within a concentration range from 100nM to 70 M. The fluorescence sensor developed displayed a linear response at lower concentrations, with a detection limit of 7.14nM. Additionally, the CDs identified metanil yellow dye in two popular Indian sweets, Mysore Pak and Laddu, achieving a recovery rate of 97.23%108.33% and 90.00%104.17%, respectively. Moreover, the CDs successfully detected metanil yellow dye in two brands of turmeric powder available in the market, achieving recoveries ranging from 94.44%110.00%. These results highlight the potential uses of these CDs in environmental monitoring and various sectors, including food and confectionery, utilizing metanil yellow dye. 2025 Wiley-VCH GmbH. -
Citrus Medica-derived Fluorescent Carbon Dots for the Imaging of Vigna Radiate Root Cells
Bio-imaging is a crucial tool for researchers in the fields of cell biology and developmental biomedical sector. Among the various available imaging techniques, fluorescence based imaging stands out due to its high sensitivity and specificity. However, traditional fluorescent materials used in biological imaging often suffer from issues such as photostability and biocompatibility. Moreover, plant tissues contain compounds that cause autofluorescence and light scattering, which can hinder fluorescence microscopy effectiveness. This study explores the development of fluorescent carbon dots (Cm-CDs) synthesized from Citrus medica fruit extract for the fluorescence imaging of Vigna radiata root cells. The successful synthesis of CDs with an average size of 6.7nm is confirmed by Transmission Electron Microscopy (TEM). The X-ray diffraction (XRD) analysis and raman spectroscopy indicated that the obtained CDs are amorphous in nature. The presence of various functional groups on the surface of CDs were identified by Fourier transform infrared (FTIR) spectra. The optical characteristics of Cm-CDs were studied by UV-Visible spectroscopy and photoluminescence spectroscopy. Cm-CDs demonstrated strong excitation-dependent fluorescence, good solubility, and effective penetration in to the Vigna radiata root cells with multicolor luminescence, and addressed autofluorescence issues. Additionally, a comparative analysis determined the optimal concentration for high-resolution, multi-color root cell imaging, with Cm-CD2 (2.5mg/ml) exhibiting the highest photoluminescence (PL) intensity. These findings highlight the potential of Cm-CDs in enhancing direct endocytosis and overcoming autofluorescence in plant cell imaging, offering promising advancements for cell biology research. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024. -
HumanWildlife Conflict in Kerala Conservation Policies and the Elusive Ethics of Peaceful Coexistence
The troubled humanwildlife relationship in the highlands of Kerala is a matter of growing concern due to the constant disruption of the lives and livelihoods of the people who share space with wildlife. Debates surrounding the complexities of humanwildlife conflict often persist, largely due to the divide between the environmentalist perception of conservation and the experiences of farmers confronting wildlife-related threats. This study demonstrates that the precarious social and economic circumstances of the farmers and local communities directly affected by the inter-species conflict undermine the skewed discourse promoting coexistence between humans and wildlife. 2025, Economic and Political Weekly. All rights reserved. -
Upconversion nanoparticles for detection of small biomolecules and ions
In recent years, upconversion nanoparticles (UCNPs) have resulted in substantial advances in the area of sensitive and selective detection of small biomolecules and ions. UCNPs possess a unique optical property known as lanthanide upconversion luminescence. This phenomenon enables them to absorb low-energy light from the near-infrared region and subsequently emit higher-energy light in the visible or ultraviolet part of the spectrum. This process, often referred to as the anti-Stokes shift, resists the conventional fluorescence behavior by absorbing lower-energy photons, followed by emission of higher-energy photons. This chapter provides a comprehensive overview of the mechanism of upconversion fluorescence and explores the properties of UCNPs. It then delves into the applications of UCNPs in detection of biomolecules like proteins and amino acids, nucleic acids, and tumor biomarkers, thus facilitating early diagnosis and patient care. Additionally, UCNPs are useful in the detection of ions by altering their surface chemistry to bind selectively to target ions, expanding their utility in environmental monitoring and chemical analysis. 2026 Elsevier Ltd. All rights reserved. -
An ESIPT/AIE active Schiff Base for the selective detection of Picric acid, Ammonia, and its potential applications in anticounterfeiting and latent fingerprinting
A novel ESIPT/AIE-active Schiff base fluorophore, N?1,N?6-bis((Z)-2,4-dihydroxybenzylidene)adipohydrazide (ADHB), has been designed and synthesized. ADHB exhibits remarkable selectivity and sensitivity towards picric acid in aqueous phase, as well as ammonia in both aqueous and solid phases, with LOD values of 55.5 nM and 88.7 nM respectively, facilitating its efficacy in real sample analysis. While exhibiting notable luminescence in polar solvents (? = 0.15 %), ADHB displays pronounced fluorescence enhancement in the solid state (??? = 320 nm) due to aggregation-induced emission (AIE). The molecular skeleton of ADHB incorporates two potential excited-state intramolecular proton transfer (ESIPT) active sites that exhibit distinctive, reversible halochromic properties in the solid state. The adaptability of this Schiff base as a multi-responsive fluorescent material was explored by the fabrication of a blue-emitting polyvinyl alcohol (PVA) composite film and paper-based test strips. The detection limits agree with the amount of contaminants that the U.S. Environmental Protection Agency (EPA) allows in drinking water. The sensing mechanism was elucidated through comprehensive DFT studies, NMR titration studies and Job's plot analysis. The tunable photophysical properties of this AIE-active probe facilitates practical applications in anti-counterfeiting and latent fingerprint visualization, highlighting its significance in forensic science and security authentication. These findings establish ADHB as a fluorescent platform for the sensitive detection and continuous monitoring of hazardous compounds in environmental systems. 2025 Elsevier B.V. -
ESIPT Active Schiff Base Fluorescent Sensor for Selective and Sensitive Detection of Co(II) Ions: Experimental, DFT Optimization Studies and Real Sample Analysis
A novel fluorescent Schiff base chemosensor, N1,N6-bis((E)-3,5-dibromo-2-hydroxybenzylidene)adipohydrazide (DBSA), has been developed for the detection of Cobalt (II) ions. DBSA exhibits distinct fluorescence enhancement upon interacting with Co(II) ions via photoinduced electron transfer (PET). The developed sensor demonstrates a remarkable sensitivity, with the detection limits of 9.9 nM for Co(II) ions, which aligns well with the Environmental Protection Agency (EPA) regulatory thresholds for drinking water contaminants. Structural characterization by LC-MS, FTIR coupled with Jobs plot and NMR titration studies confirm the formation of DBSA-Co complex with a binding constant of 4.61 106 M? 1. The chemo sensor exhibits a quantum yield of 0.082, highlighting its potential applicability in photochemical processes. Computation studies were used to further investigate the binding interactions with Co2+ ions. The practical utility of DBSA has been validated through successful analyses in varied aqueous matrices, including tap water, lake water and recycled water. Cytotoxicity assessment via MTT assays on SH-SY5Y cells confirms excellent biocompatibility of the probe. This work presents a significant advancement in the design of efficient molecular probes for environmental monitoring, offering a robust platform for the concurrent detection of transition-metal ions in aqueous systems. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2026. -
Revolutionizing Healthcare: The Impact of Generative AI and Large Language Models
The chapter explores the transformative impact of generative AI and large language models (LLMs) in healthcare, emphasizing their potential to revolutionize patient care, clinical operations, and medical research. Generative AI, a subset of artificial intelligence, offers groundbreaking capabilities such as personalized medicine, virtual health assistants, and enhanced diagnostic accuracy. LLMs like Med-PaLM and BioBERT are fine-tuned to perform specific healthcare tasks, such as clinical note summarization and diagnostic support. These models also assist in drug discovery, clinical trials, and pandemic preparedness by analyzing complex medical data and predicting patient outcomes with high accuracy. The chapter also addresses the ethical and regulatory considerations associated with AI in healthcare, including data privacy, bias, and accountability. While the integration of AI technologies promises significant advancements, it also requires stringent regulatory oversight to ensure safety, efficacy, and fairness. The potential of generative AI to generate synthetic medical data offers a secure way to advance research without compromising patient privacy. Additionally, AI can optimize healthcare processes, enhance patient engagement, and accelerate medical research, contributing to a more efficient and personalized healthcare system. The chapter concludes by highlighting the need for continuous collaboration between AI developers, healthcare professionals, and regulators to maximize the benefits of these technologies while addressing the associated risks. 2025 selection and editorial matter, Sakshi Gupta, Umesh Gupta, Moolchand Sharma, Kamal Malik; individual chapters, the contributors. -
Celestial Image Classification Using Attention And Boosting Mechanism
Astronomical image classification is vital in the comprehension of celestial objects, but deep learning models are severely challenged by the lack of labeled datasets. The novelty of the study is two-fold - the development of the dataset and a hybrid learning method that combines both transformer-based feature extraction and gradient-boosted decision trees to improve classification performance for celestial image classification. This study is a comparison of CNNs, transformers, and hybrid models in nebulae, galaxy, and star cluster classification using the dataset collected from the Hubble Space Telescope image archive. Through progressive data augmentation, the dataset was augmented from 603 images to 4,500 high-diversity training samples to enhance model generalization. This research explores various architectures, including ResNet-50, DenseNet-121, EfficientNetV2-S, DeiT (Data-Efficient Image Transformer), and hybrid models like DeiT-RF (Data-Efficient Image Transformer - Random Forest) and DeiT-XGBoost (DXg). DXg brings a novel fusion mechanism in which DeiT learns high-level spatial representations, adaptive dimensionality reduction fine-tunes feature selection, and XGBoost best classifies celestial objects. Such a unique combination of transformers and gradient boosting improves interpretability without sacrificing state-of-the-art performance. 2025 IEEE.