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Classic Models, Modern Threats: A Study on Adversarial Attack and Defense for Traditional ML Models
Adversarial attacks are a serious threat to machine learning models, both for conventional architectures, like neural networks, and for more sophisticated frameworks, like Vision Transformers (ViTs). Although a lot of work has been done to defend state-of-the-art deep learning models against attacks like Fast Gradient Sign Method (FGSM), Projected Gradient Descent (PGD), and Gaussian noise perturbations, classical machine learning models like logistic regression, support vector machines (SVMs), and decision trees are relatively less explored despite their extensive use in situations where low computational complexity and high interpretability are needed. This work presents a rigorous evaluation of the adversarial vulnerability of binary and other classical models on the MNIST dataset and explores the effectiveness of various defense mechanisms, including adversarial training, input pre-processing (Gaussian smoothing), and defensive distillation. Experiments demonstrate that adversarial training is the most effective defense that improves model robustness with classification accuracies of up to 96% in all attack scenarios. In contrast, defensive distillation and input preprocessing make modest gains, with accuracy levels ranging from 61 to 81% based on the nature of the attack. Through adversarial threat analysis of typical machine learning models, this work points out their inherent susceptibility to adversarial perturbations and introduces robust defense techniques. These results identify the necessity for robust security and reaffirm the practical viability of typical models in the scenario of resource-constrained environments, contributing towards a more complete picture of adversarial defenses for the entire spectrum of machine learning architectures. The Author(s), under exclusive license to Springer Nature Switzerland AG 2026. -
CLASS onboard Chandrayaan-2: Five years around the Moon
Chandrayaan-2 Large Area soft X-ray Spectrometer (CLASS) is a remote X-ray Fluorescence experiment to map the lunar surface elemental abundances. With its large effective area and low energy threshold, CLASS generates the highest spatial resolution maps of all major rock-forming elements on the Moon, such as Mg, Al, Si, Ca, Ti, and Fe. Five years of operation in lunar orbit has resulted in global coverage. With several lunar missions planned for this decade for in situ exploration and sample returns, the 155 km geochemical maps from CLASS will serve as an important dataset. This article highlights the scientific results of CLASS in the last five years and discusses its potential applications. Indian Academy of Sciences 2025. -
Clan Culture in Organizational Leadership and Strategic Emphases: Expectations Among School Teachers in India
Understanding the current and preferred organizational culture among school teachers in India is a primary requirement, particularly when the National Educational Policy (NEP) is being implemented. Measuring the competing values using the Organizational Culture Assessment Instrument (OCAI) provides information about the dominant characteristics of the organizational culture and the school teachers' preferences. We surveyed school teachers and received 273 responses. Research revealed that clan culture is the overall current and preferred organizational culture type. Many of the results are not a surprise. However, we found that organizational leadership is currently in the hierarchy culture and strategic emphasis is on adhocracy, whereas teachers prefer a clan culture on these dimensions. Teachers expect school leaders to be the ones who facilitate the path to achieve, provide mentoring, and are instrumental in team building. They prefer a culture that provides for the development of human capital, promotes high trust and transparency among teachers, and offers an opportunity to participate in decision-making. This study is unique as it measures schools' organizational culture that has not been done earlier in the Indian context. The results suggest implications on the leadership practices and the strategic emphasis that need to change, in order to facilitate the implementation of the National Education Policy (NEP). 2022. All Rights Reserved. -
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. -
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. -
Citrus for wellness: Exploring the bioactive properties of Citrus medica fruit peel with emphasis on its anticancer, antioxidant, antimicrobial and anthelmintic properties
Citrus medica (Citron) is an underutilised plant consisting of various bioactive elements with numerous medicinal benefits. The present study aimed to evaluate the bioactive properties, including anthelmintic, antimicrobial, antioxidant and anticancer activities, of chloroform extract obtained from the of fruit peel of C. medica. The different types of phytochemicals present in the chloroform extract were analysed using GC-MS. The major components detected included n-hexadecanoic acid, octadecanoic acid, t-tetradecenal, 1-nonadecene etc. Anthelmintic study was conducted using Eisenia fetida as a test organism, revealing a significant anthelmintic effect in the C. medica fruit peel extract compared to the standard drug. Antimicrobial properties were assessed against five test bacterial and fungal strains. Antibacterial tests showed zones of inhibition ranging from 8 to 11 mm, while no prominent zones of inhibition were observed in antifungal tests. The DPPH assay demonstrated significant antioxidant properties of Citron fruit peel extract compared to the standard ascorbic acid. The Chloroform extract of citron fruit peel exhibited significant cytotoxic properties against FaDu (human hypopharyngeal tumour) cell line. The present study indicates the potential of the chloroform extract of C. medica fruit peel to be employed as an anthelmintic, antibacterial, antioxidant and anticancer agent. Hence, it emphasises the prominence that can be given to the dietary consumption of citrus fruit peel in various forms, such as dried peel, powder etc. The Author(s). -
Citric-Acid-Catalyzed Green and Sustainable Synthesis of Novel Functionalized Pyrano[2, 3-e]pyrimidin- and Pyrano[2, 3-d]pyrazol-amines in Water via One-Pot Multicomponent Approaches
An efficient entry into the preparation of elusive, novel pyrano[2, 3-e]pyrimidin-amines and pyrano[2, 3-d]pyrazol-amines has been accomplished using citric acid as a green catalyst in aqueous medium at 25 C. The strategy successively tolerates a variety of functional groups and interestingly, it is eco-compatible, environment-friendly, propitious and the products are obtained in excellent yields without chromatographic purification. The current methodology unfolds the benefits of citric acid as an effective, expeditious, economical, green catalyst and thus adheres to the principles of green chemistry. Ecstatically, the reaction was scaled to the gram level ascertaining the wide applicability of the protocol in academia and industry. The green metrics (E-factor: 0.0497, Mass intensity: 1.1022, PMI: 1.0497 and Emw: 0.0497) for the reaction was also envisaged and the pathway was found to acquaint excellent green chemistry metrics. 2018 Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim -
Citizens Perception on Livability in Indian Metropolitan Cities
Background: Livability is a complex and multifaceted concept, but is important in creating places where people can thrive. Investing in the factors contributing to livability can create more attractive, sustainable, and equitable communities. Livability is important for several reasons. It can affect peoples health, well-being, and productivity. It can also influence whether people live in a particular place and whether businesses are willing to invest there. Methods: A survey was conducted to review the top livable cities of India as per the Global Livability Index parameters such as sociocultural, environmental, healthcare, education, and infrastructure aspects. A mixed method approach, having both qualitative and quantitative analyses, was adopted for the survey. The targeted sample size was 100 people, covering stakeholders from around the campus. Findings: As an outcome of the survey analysis, the most livable cities were categorized. Conclusion: In conclusion, policy narratives and frameworks are outlined emphasizing the need and the importance of citizens participation in assessing the quality of life across Indian metropolitan cities. 2024 Springer Publishing Company. -
Citizen data in distributed computing environments: Privacy and protection mechanisms
Data security is paramount in the increasingly connected world. Securing data, while in transit and rest, and while under usage, is essentialfor deriving actionable insights out of data heaps. Incorrect or wrong data can lead to incorrect decisions. So, the confidentiality and integrity of data have to be guaranteed through a host of technology-inspired security solutions. Organizational data is kept confidentially by the businesses and governments, often in distant locations (e.g., in cloud environments), though more sensitive data is normally kept in house. As the security mechanisms are getting more sophisticated, cyber security attacks are also becoming more intensive, so there is a constant battle between the organisations and the hackers to be one step ahead of the other. In this chapter, the aim is to discuss various mechanisms of accomplishing citizens ' data confidentiality and privacy and to present solution approaches for ensuring impenetrable security for personal data. 2021 by IGI Global. All rights reserved. -
Circulating Current Control in Modular Multilevel Converter Using a Super Twisted Sliding Mode Control
A Modular Multilevel Converter (MMC) has gained widespread popularity due to its notable advantages, including high efficiency, flexibility, minimal harmonic distortion, lower power device ratings, modularity, and scalability. Despite these benefits, the MMC encounters challenges such as voltage balancing and circulating currents. The primary objective is to balance capacitor voltages in each submodule without excessive power electronic device switching. To address this, a controlled switching frequency technique is employed to reduce the average switching frequency of the devices, mitigating voltage imbalances. However, challenges persist, notably the introduction of even-order harmonics with the second harmonic being particularly prominent in inner current. These even order harmonic components contribute to increased power losses, device stress, and potential system instability. Conventional methods of suppression of circulating currents have limitations in harmonic elimination and complex in implementation. This paper proposes a super twisting sliding mode control (SMC) to concurrently manage balancing of capacitor voltages and control of circulating currents in the MMC. The controller effectively reduces the harmonic components, with a focus on the dominant second harmonic in inner currents. Phase disposition (PD) PWM is utilized for MMC phase control, and the proposed controller, initially implemented for a single-phase MMC, demonstrates potential extension to three-phase systems. Comparative analysis with conventional PI controllers and the presentation of results in the MATLAB/Simulink environment validate the efficacy of the proposed super twsiting SMC controller. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2026. -
Circular supply chains in manufacturingQuo vadis? Accomplishments, challenges and future opportunities
Circular approach in manufacturing supply chain (SC) operations yields multiple benefits through optimal utilisation and consumption of resources. This study maps the scope and structure of circularity in the manufacturing SC discipline and explores the evolution of the domain over time. We review 946 journal articles published between 2013 and September 2023. Our study identifies key drivers and barriers to circular economy (CE) deployment in manufacturing SC operations, bibliometric parameters, emerging research themes, decision support tools, theories and applications. Using the theory extension approach, we propose a strategic framework to fortify the deployment of circularity in SCs. This comprehensive study renders a methodological contribution through combined descriptive content analysis and bibliometric and network analyses to evaluate the circular manufacturing SC operations concepts, theories and applications. We posit that manufacturing firms require to deploy innovation-led approaches to embed the CE strategies in their SC operations. We find that the studies investigating green skill development and circularity-culture adoption can facilitate manufacturers to understand the efficacy of circularity in their SC operations. The findings of this study can facilitate the practitioners to identify the links between the CE approaches and their strategic implications and examine CE implementation at the strategic level. 2024 The Authors. Business Strategy and The Environment published by ERP Environment and John Wiley & Sons Ltd. -
Circular Economy in the Construction Industry: Promoting Environmental Sustainability in the Context of SDG 12
The construction industry in particular is experiencing a time of fast expansion as a result of the circular economy (CE), which is causing firms all over the globe to go through this transformation. The purpose of this research is to investigate the practise of incorporating CE principles into the construction industry, with a particular emphasis on the advancement of environmentally sustainable activities. The purpose is to lessen the negative effect that it has on the environment, which is the objective of SDG 12, which is being carried out simultaneously. We perform an analysis of the most recent developments, obstacles, and possibilities in the construction industry in order to assess the ways in which CE practices have the potential to bring about a decrease in the amount of waste that is produced, the preservation of resources, and a lessening of the effect on the environment. We use a mixed-methods approach, which includes data analysis, case studies, and interviews, in order to give insights on the progress that the construction sector has accomplished towards CE. 2026 by IGI Global Scientific Publishing. -
Circuit Breaker: A Resilience Mechanism for Cloud Native Architecture
Over the past decade, the utilization of cloud native applications has gained significant prominence, leading many organizations to swiftly transition towards developing software applications that leverage the powerful, accessible, and efficient cloud infrastructure. As these applications are deployed in distributed environments, there arises a need for reliable mechanisms to ensure their availability and dependability. Among these mechanisms, the circuit breaker pattern has emerged as a crucial element in constructing resilient and trustworthy cloud native applications in recent times. This research article presents a comprehensive review and analysis of circuit breaker patterns and their role within cloud-native applications. The study delves into various aspects of circuit breakers, encompassing their design, implementation, and recommended practices for their utilization in cloud native applications. Additionally, the article examines and compares different circuit breaker libraries available for employment in modern software development. The paper also presents a concept for improving the circuit breaker pattern, which will be pursued in our upcoming research. 2023 IEEE. -
Cipher Block Chaining Support Vector Machine for Secured Decentralized Cloud Enabled Intelligent IoT Architecture
The growth of internet era leads to a major transformation in a storage of data and accessing the applications. One such new trend that promises the endurance is the Cloud computing. Computing resources offered by the Cloud includes the servers, networks, storage, and applications, all as services. With the advent of Cloud, a single application is delivered as a metered service to numerous users, via an Application Programming Interface (API) accessible over the network. The services offered via the Cloud are such as the infrastructure, software, platform, database and web services. The main motivation of this application model is to provide computationally secure key generation to protect the data via encryption. This key generation in the cryptography process falls into three categories in this research work. In the first part, SVM based encryption service model is constructed for which the key generation is from the conventional encryption operation mode with some improvements. To make the process more complex, the optimization techniques are taken into account for the key generation in descendant two methods application model that acts computationally more secure specifically for Cloud environment. The results of security analysis confirm the effectiveness of the proposed application model withstands potentially against various attacks such as Chosen Cipher Attack, Chosen Plain text Attack indistinguishable attacks for files. In case of images, it resists well against statistical and differential attacks. Comparative Analysis shows evidence of the efficiency of the developed pioneering application model quality and strength compared with that of the existing services. 2013 IEEE. -
Cinnamon A Competent Drug: A Review on Extraction, Analysis and Anticancer Action
Cinnamon, an Indigenous species, is extensively used as a folk medicine in India, China, and other parts of the world due to its therapeutic potential inherited via the latent chemical composition. The vital component presented is cinnamaldehyde, along with cinnamic acid and cinnamate, which contributes to being an anti-inflammatory, antimicrobial, antidiabetic, and anticancer agent together with the capability to control neurological syndromes like Alzheimer's and even Parkinson's diseases. Given the importance of the anticarcinogenic properties of cinnamon on various cell strains concerning the curable effect, this review focuses on evaluating different extraction methods like steam distillation, Soxhlet extraction, microwave-assisted extraction, and more, in addition to a summary of new technologies like gas chromatography, HPLC, DART-MS, and NMR, etc. which paved the way in characterizing the chemical composition of cinnamon. Cinnamaldehyde showed its apoptosis through various mechanistic pathways on an adequate number of cell lines and antineoplastic potential on specific multifaceted cancerous cells, which advocates for continued research and investment in this vital area of drug discovery and suggestions for future scope. 2024 Wiley-VCH GmbH. -
Cinematic Witnessing as Queer-Affirmative Expressive Arts Practice: A Phenomenological Study of Vicarious Healing Among LGBTQIA+ Elders in India
This study examines the therapeutic and expressive potential of queer-themed Indian cinema as an arts-based intervention for LGBTQIA+ elders with trauma histories, positioning film-viewing as a structured modality of reflective witnessing and vicarious healing. Using a hermeneutic phenomenological design, the research engaged 12 LGBTQIA+-identified elders (six trans women and six cisgender gay men), aged 6073 years in India to explore how mirror scenes in cinema activate emotional resonance, memory retrieval, and identity integration. Narrative data from two rounds of in-depth interviews revealed four cross-cutting thematic clusters, Quiet Survival, Reclaiming Worth, Healing Mirrors, and Chosen Kinship, demonstrating how film functions as a psychologically containing, aesthetically mediated space for meaning-making. Grounded in intersectionality, affect theory, queer-affirmative trauma frameworks, and expressive arts therapy, the findings illustrate how cinematic encounters support affect regulation, narrative re-authoring, and embodied self-recognition. The study also highlights how caste, class, gender identity, and historical criminalization under Section 377 shape viewers readiness for and access to media-based healing, with trans Dalit elders articulating cinema as both an emotional refuge and a site of political affirmation. Overall, the research contributes an empirically anchored model for integrating film into creative arts therapies, offering a culturally responsive conceptual pathway for trauma-informed elder mental health practice within similar socio-cultural contexts. 2026 Taylor & Francis Group, LLC. -
Cinema and the non-violence versus violence discourse: a review of the film RRR
[No abstract available] -
Chronic Disease Diagnosis Using Multi-modal Transfer Learning Model
Chronic diseases are on rise in recent times and symptoms of these disorders need to be detected at an early stage. Traditional methods in handling these risks are quite resource intensive and costly with less accuracy. This paper explores transfer learning to address the challenge of limited data in diagnosing chronic diseases like chronic kidney disease, breast cancer, hepatitis, and Alzheimers. We propose a multi-modal framework utilizing pre-trained models: image recognition for medical images and natural language processing for textual data. Transfer learning aims to improve diagnostic accuracy and reduce training time, enabling development of adaptable tools for various chronic diseases. The implementation results show the performance of the model is promising generating an accuracy rate of 94%. Also the model gave a mean accuracy of 93.3% when tested with different chronic disorders. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025. -
Chromatic Zagreb and irregularity polynomials of graphs
Graph coloring is an assignment of colors, labels or weights to elements of a graph subject to certain constraints. Coloring the vertices of a graph in such a way that adjacent vertices are having different colors is called proper vertex coloring. A proper vertex coloring using minimum parameters of colors is studied extensively in recent literature. In this paper, we define new coloring related polynomials, called chromatic Zagreb polynomials and chromatic irregularity polynomials, in terms of minimal parameter coloring and structural characteristics of graphs such as distances and degrees of vertices. 2021 World Scientific Publishing Company. -
Chromatic Harmonic Polynomials and Indices of Jump Graphs of Some Graphs
The jump graph J(G) of a graph G of order n ? 3 is the complement graph of the line graph L(G). The line graph L(G) of G is the graphical realisation of edge adjacency in G and the jump graph is the graphical realisation of edge independence in G. In this paper, coloring related harmonic polynomials and topological indices of jump graphs of paths and certain cycle related graphs are discussed. 2026 World Scientific Publishing Company.