Drone Surveillance: Ethical Considerations for a Sustainable Future
subject: Accountability; Artificial Intelligence (AI); Ethics; Human Rights; Human Security; Privacy; Unmanned Aerial Vehicles (UAVs)
description: The evolution of drones underlines the 20th-century scientific and technological progress. They evolved within the military context and remained within that circle for almost a century. The 21st century has increased the possibilities and opportunities of drones by incorporating Artificial Intelligence and machine learning technologies. Accordingly, drones are widely used in almost all fields of human inter-action. Among them, the use of drones for surveillance stands out due to its advantages and potential risks. The built-in cameras of the automated drones used not only by law enforcement agencies but also by private actors can collect personal information, raising serious ethical concerns. Although drone surveillance is beneficial to society, as it can restrict illegal activities and violations of human rights, it poses apprehensions concerning the privacy and security of people. From this perspective, this chapter examines the vital ethical considerations essential for realizing a sustainable future while using the method of drone surveillance. 2026 by IGI Global Scientific Publishing. All rights reserved.
creator: Joseph, Jipson; Joseph, Jobin; Srinivasan, S.
source: Enhancing Surveillance With Blockchain and IoT Drone Technology;pp.507-526
publisher: IGI Global
date: 01-01-2026
rights: Restricted Access; Hardcopy may be available in the library
relation: ISBN: 979-833734279-5; 979-833734277-1;
language: English
type: Book chapter
coverage: Joseph J., Christ University, India; Joseph J., India; Srinivasan S., Department of Humanities and Social Sciences, Graphic Era University, Dehradun, India

Drones for Crop Monitoring and Analysis
description: Drones are becoming a vital tool for crop monitoring and analysis in contemporary agriculture. With the use of sophisticated sensors, these unmanned aerial vehicles (UAVs) can gather high-resolution pictures and data, giving farmers real-time insights into the growth and health of their crops. Thanks to technological advancements, drones can now more reliably and effectively collect a variety of data points than previous techniques, including plant health, moisture levels, and insect infestations. Drones are a useful tool for crop monitoring because they enable farmers to identify problems early on, such as nutrient deficits, water stress, and disease outbreaks, and take prompt action to optimize yields and avoid losses. Drones can also swiftly and affordably cover vast tracts of agriculture, giving a thorough picture of crop conditions. Farmers may use the information that drones gather to make educated decisions by choices about fertilization plans, pest control techniques, and irrigation schedules, eventually enhancing crop sustainability and output. Drone technology is projected to play an increasingly bigger role in agriculture as it develops, completely changing how farmers monitor and assess their crops. (Publisher name) (publishing year) all right reserved.
creator: Nanjundan P.; Indu P.V.; Thomas L.
source: Sustainable Farming through Machine Learning Enhancing: Productivity and Efficiency, pp. 51-63.
publisher: CRC Press
date: 2024-01-01
rights: Restricted Access
relation: ISBN: 978-104025478-3; 978-103277749-8
format: Online
language: English
type: Book chapter
coverage: Nanjundan P., Department of Data Science CHRIST University, Pune Lavasa Campus, Maharashtra, Lavasa, India; Indu P.V., Department of Data Science CHRIST University, Pune Lavasa Campus, Maharashtra, Lavasa, India; Thomas L., Department of Psychology CHRIST University, Pune Lavasa Campus, Maharashtra, Lavasa, India

Drones for Transportation Logistics and Disaster Management
description: Explore the future of logistics and disaster management with this essential guide to the design, applications, and challenges of integrating advanced drone technology into intelligent transportation systems. Drones are quickly becoming an essential technology for navigating inaccessible areas, especially during emergency situations. However, the implementation of these drones requires strict standards, policies, and procedures. Currently, drones are being used in several industrial and service sectors, extending the possibilities of handling transportation and logistics. The future of transportation is based on unmanned vehicles, and it is important to identify their challenges and futuristic applications. Drones for Transportation Logistics and Disaster Management introduces the essential aspects of the technological advancement of drones, the challenges faced in current practices, and their advanced applications. The book describes future intelligent and resilient transportation systems backed by the Internet of Vehicle Things, the problems of big data analytics, and optimization techniques for in-house supply-chain management. Using a global multi-sector perspective, this volume will comprehensively cover essential components of drone systems, including their modeling, design, and maintenance, making it an essential guide for anyone looking to the future of disaster management. 2026 Scrivener Publishing LLC.
creator: Prasanth, A.; Dhanaraj, Rajesh Kumar; Sabharwal, Munish; Sharma, Vandana; Kadry, Seifedine
source: Drones for Transportation Logistics and Disaster Management;pp.1-404
publisher: wiley
date: 01-01-2025
rights: Restricted Access; Hardcopy may be available in the library
relation: ISBN: 978-139438645-1; 978-139438644-4;
language: English
type: Book
coverage: Prasanth A., Department of Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, India; Dhanaraj R.K., Symbiosis Institute of Computer Studies and Research (SICSR), Symbiosis International (Deemed University), Pune, India; Sabharwal M.; Sharma V., Computer Science Department, Christ University, Bengaluru, India; Kadry S.

DROUGHT MITIGATION THROUGH HYDROGEL APPLICATION IN RICE (Oryza sativa L.) CULTIVATION
subject: Agriculture; Drought; Hydrogel; Mitigation; Rice; Soil conditioning; Sustainability
description: Sustainability in irrigation is an essential step towards responsible water consumption. In recent years, many studies have sketched climate-resilient agricultural practices to fight drought and uncertain rainfall patterns. Major rain-fed crops such as paddy and wheat require aid when there are abnormal dry spells. To mitigate the loss of crops from such events, superabsorbent polymers can be used. Soils amended with hydrogel or Superabsorbent polymer (SAP) retain moisture during drought to prevent loss of water through evaporation and percolation. This allows the crop to grow with less shock from drought. This study compares rice (Oryza sativa L.) growth rate under application (treatment groups) and non-application (control groups) of hydrogel, considering their high-water requirement. NDLR07 (recently developed) and BPT5204 (local variety) rice varieties were chosen for the current study. Randomized controlled trials were performed for each variety on a control group (NC & BC) and 3 treatment groups with 20% (NT20 & BT20), 40% (NT40 & BT40), and 60% (NT60 & BT60) deficit water supplies respectively. N, T, C refers to seed type, treatment group, control group respectively. Intermittent drought condition was imposed for 14 days to assess the resilience of crops. The water retention capacity of the sandy loam soil was better for treatment groups by 20% than control groups even at an average temperature of 40 ?. Treatment groups continued growing through the drought phase and after, while control groups showed stagnation. Among the tested treatment groups, NT20 had the highest growth among all trials. The results of the study suggested that hydrogel application can help to combat droughts and thereby contribute to sustainable agricultural production by restricting the involvement of climate changes. 2021, Editorial board of Journal of Experimental Biology and Agricultural Sciences. All rights reserved.
creator: Reddy B.S.P.; Vasudevan S.; Mani S.K.; Uppaluri S.; Sudakar M.
source: Journal of Experimental Biology and Agricultural Sciences, Vol-9, No. 6, pp. 727-733.
publisher: Editorial board of Journal of Experimental Biology and Agricultural Sciences
date: 2021-01-01
rights: All Open Access; Gold Open Access
relation: ISSN: 23208694
format: Online
language: English
type: Article
coverage: Reddy B.S.P., Department of Civil Engineering, CHRIST (Deemed to be University), School of Engineering and Technology, Bengaluru, 560074, India; Vasudevan S., Department of Civil Engineering, CHRIST (Deemed to be University), School of Engineering and Technology, Bengaluru, 560074, India; Mani S.K., Department of Civil Engineering, CHRIST (Deemed to be University), School of Engineering and Technology, Bengaluru, 560074, India; Uppaluri S., Department of Civil Engineering, CHRIST (Deemed to be University), School of Engineering and Technology, Bengaluru, 560074, India; Sudakar M., Department of Agronomy, Pendekanti Krishi Vigyan Kendra, Kurnool, 518124, India

Drought PredictionA Comparative Analysis of Supervised Machine Learning Techniques
subject: Artificial neural network; Decision tree; K-nearest neighbors; Machine learning; Random forest; Supervised; Support vector machine
description: Drought is a natural phenomenon that puts many lives at risk. Over the last decades, the suicide rate of farmers in the agriculture sector has increased due to drought. Water shortage affects 40% of the world's population and is not to be taken lightly. Therefore, prediction of drought places a significant role in saving millions of lives on this planet. In this research work, six different supervised machine learning (SML) models namely support vector machine (SVM), K-nearest neighbor (KNN), decision tree (DT), convolutional neural networks (CNNs), long short-term memory (LSTM), and recurrent neural networks (RNNs) are compared and analyzed. Three dimensionality reduction techniques principal component analysis (PCA), linear discriminant analysis (LDA), and random forest (RF) are applied to enhance the performance of the SML models. During the experimental process, it is observed that RNN model yielded better accuracy of 88.97% with 11.26% performance enhancement using RF dimensionality reduction technique. The dataset has been modeled using RNN in such a way that each pattern is reliant on the preceding ones. Despite the greater dataset, the RNN model size did not expand, and the weights are observed to be shared between time steps. RNN also employed its internal memory to process the arbitrary series of inputs, which helped it outperform other SML models. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
creator: Choesang T.; Ryntathiang S.; Jacob B.A.; Krishnan B.; Kokatnoor S.A.
source: Smart Innovation, Systems and Technologies, Vol-351, pp. 295-307.
publisher: Springer Science and Business Media Deutschland GmbH
date: 2023-01-01
rights: Restricted Access
relation: ISSN: 21903018; ISBN: 978-981992467-7
format: Online
language: English
type: Conference paper
coverage: Choesang T., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Karnataka, Bangalore, 560074, India; Ryntathiang S., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Karnataka, Bangalore, 560074, India; Jacob B.A., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Karnataka, Bangalore, 560074, India; Krishnan B., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Karnataka, Bangalore, 560074, India; Kokatnoor S.A., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Karnataka, Bangalore, 560074, India

Dry Sliding Friction and Wear Performance of HVOF Sprayed WCCo Coatings Deposited on Aluminium Alloy
subject: Al6061 alloy; Friction and wear; Hardness; HVOF coatings; WCCo
description: The tribological behaviour of WCCo Cermet coatings coated on Al6061 alloy was studied in this work. WCCo Cermet coatings have been coated with different thicknesses by changing the amount of the cobalt using HVOF (High velocity oxy fuel technique). The coatings produced have been subjected to microhardness, friction and wear testing. A disc and pin type machine has been used for assessing friction and wears characteristics. The influence on tribological performance of coating thickness and cobalt levels was examined and compared with aluminium alloy. WCCo coating enhanced hardness by 34% and 42% in 100 and 200 micron thicknesses respectively, compared to aluminium alloy. The wear rate and the coefficient of friction are decreased by 48 and 12%, respectively, compared to uncoated aluminium alloy. Both coatings and substrates increase their wear rate and friction coefficient (COF) with the increase in load and sliding speed. Scanning Electron and Confocal microscopy examinations of worn surfaces were carried out to evaluate coating wear processes. 2021, The Institution of Engineers (India).
creator: Pradeep Kumar G.S.; Keshavamurthy R.; Umesh V.; Tambrallimath V.; Yadav Y.; Toufeeq T.; Arun S.
source: Journal of The Institution of Engineers (India): Series D, Vol-102, No. 2, pp. 331-344.
publisher: Springer
date: 2021-01-01
rights: Restricted Access
relation: ISSN: 22502122
format: Online
language: English
type: Article
coverage: Pradeep Kumar G.S., Department of Mechanical and Automobile Engineering, CHRIST (Deemed to be University), Bangalore, India; Keshavamurthy R., Department of Mechanical Engineering, Dayananda Sagar College of Engineering, Bangalore, India; Umesh V., Department of Mechanical and Automobile Engineering, CHRIST (Deemed to be University), Bangalore, India; Tambrallimath V., Department of Automobile Engineering, Dayananda Sagar College of Engineering, Bangalore, India; Yadav Y., Department of Mechanical and Automobile Engineering, CHRIST (Deemed to be University), Bangalore, India; Toufeeq T., Department of Mechanical and Automobile Engineering, CHRIST (Deemed to be University), Bangalore, India; Arun S., Department of Mechanical and Automobile Engineering, CHRIST (Deemed to be University), Bangalore, India

DTDO: Driving Training Development Optimization enabled deep learning approach for brain tumour classification using MRI
subject: A brain tumour; Child Drawing Development Optimization (CDDO); Driving Training Development Optimization (DTDO); Magnetic Resonance Imaging (MRI)
description: A brain tumour is an abnormal mass of tissue. Brain tumours vary in size, from tiny to large. Moreover, they display variations in location, shape, and size, which add complexity to their detection. The accurate delineation of tumour regions poses a challenge due to their irregular boundaries. In this research, these issues are overcome by introducing the DTDO-ZFNet for detection of brain tumour. The input Magnetic Resonance Imaging (MRI) image is fed to the pre-processing stage. Tumour areas are segmented by utilizing SegNet in which the factors of SegNet are biased using DTDO. The image augmentation is carried out using eminent techniques, such as geometric transformation and colour space transformation. Here, features such as GIST descriptor, PCA-NGIST, statistical feature and Haralick features, SLBT feature, and CNN features are extricated. Finally, the categorization of the tumour is accomplished based on ZFNet, which is trained by utilizing DTDO. The devised DTDO is a consolidation of DTBO and CDDO. The comparison of proposed DTDO-ZFNet with the existing methods, which results in highest accuracy of 0.944, a positive predictive value (PPV) of 0.936, a true positive rate (TPR) of 0.939, a negative predictive value (NPV) of 0.937, and a minimal false-negative rate (FNR) of 0.061%. 2024 Informa UK Limited, trading as Taylor & Francis Group.
creator: Prasad V.; Jeba Jingle I.D.; Sriramakrishnan G.V.
source: Network: Computation in Neural Systems, Vol-35, No. 4, pp. 520-561.
publisher: Taylor and Francis Ltd.
date: 2024-01-01
rights: Restricted Access
relation: ISSN: 0954898X; PubMed ID: 38801074
format: Online
language: English
type: Article
coverage: Prasad V., Department of Computer Science & Engineering, Lendi Institute of Engineering & Technology, Jonnada, India; Jeba Jingle I.D., Department of Computer Science & Engineering, Christ (Deemed to be University), Bangalore, India; Sriramakrishnan G.V., Computer Science and Engineering, Saveetha Institute of Medical and Technical Sciences (SIMATS), Saveetha University, Chennai, India

Dual drug co-encapsulation of bevacizumab and pemetrexed clocked polymeric nanoparticles improves antiproliferative activity and apoptosis induction in liver cancer cells
subject: biomedical applications; drug delivery systems; nanoparticles, nanowires and nanocrystals
description: Nanoparticle (NP) enabled approaches have been employed for chemotherapeutic administration due to their capacity to regulate drug release and reduce side effects. Additionally, these methods can use several drugs concurrently and impede the proliferation of cancer cells that have developed resistance. Bevacizumab (BVZ) and pemetrexed (PEM) have demonstrated encouraging outcomes in the treatment and management of cancer. This work investigates the combined antiproliferative efficacy of BVZ and PEM co-loaded PLGA-PEG NPs (BVZ/PEM@PLGA-PEG NPs) against HepG2 liver cancerous cells. The BVZ/PEM@PLGA-PEG exhibited a sphere-shaped and consistent nanosized distribution. In addition, we evaluated the potential mechanisms for inhibiting cell growth and inducing apoptosis using DAPI staining and cell cycle study. The beneficial combined antiproliferative activity and the apoptosis pathway were detected in the HepG2 cells exposed to BVZ/PEM@PLGA-PEG NPs. Our study determined that the combinational drug treatment of BVZ/PEM@PLGA-PEG NPs has a significant effect on promoting the effectiveness of liver cancer treatment. 2024 Wiley Periodicals LLC.
creator: Ganesan S.; Upadhye V.J.; Aulakh D.; Bishnoi S.; Chinnathambi A.; Alahmadi T.A.; Abudoleh S.M.; Arulselvan P.; Thangavelu I.
source: Journal of Applied Polymer Science, Vol-141, No. 47
publisher: John Wiley and Sons Inc
date: 2024-01-01
rights: Restricted Access
relation: ISSN: 218995; CODEN: JAPNA
format: Online
language: English
type: Article
coverage: Ganesan S., Department of Chemistry and Biochemistry, JAIN (Deemed-to-be University), Karnataka, Bangalore, India; Upadhye V.J., Parul Institute of Applied Sciences, Parul University, Gujarat, Vadodara, India; Aulakh D., Centre of Research Impact and Outcome, Chitkara University, Punjab, Rajpura, India; Bishnoi S., Department of Sciences, Vivekananda Global University, Jaipur, India; Chinnathambi A., Department of Botany and Microbiology, College of Science, King Saud University, Riyadh, Saudi Arabia; Alahmadi T.A., Department of Pediatrics, College of Medicine and King Khalid University Hospital, King Saud University, Medical City, Riyadh, Saudi Arabia; Abudoleh S.M., Faculty of Pharmacy, Middle East University, Amman, Jordan; Arulselvan P., Department of Chemistry, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences (SIMATS), Saveetha University, Chennai, India; Thangavelu I., Department of Chemistry, CHRIST (Deemed to be University), Karnataka, Bangalore, India

Dual ion specific electrochemical sensor using aminothiazole-engineered carbon quantum dots
subject: Aminothiazole; Biomass-derived carbon quantum dots; Lead; Mercury; Square-wave anodic stripping voltammetry
description: A novel electrochemical sensor capable of concurrently detecting Pb2+ and Hg2+ ions has been innovatively engineered. This sensor utilizes the anodic stripping voltammetry technique (ASV) with a composite consisting of carbon quantum dots and aminothiazole (CQD-AT). In this composite, both the carbon quantum dots and aminothiazole contribute significantly to the electroactive surface area, boasting an abundance of functional groups that include oxygen and nitrogen atoms. These functional groups serve as active sites that enhance sensor sensitivity by facilitating the electrostatic interaction-based adsorption of heavy metal ions. Aminothiazole surface is evenly covered with CQDs, which are essential for metal gets reoxidized into metal ions for stripping analysis. Due to this unique modification, the Pb2+ and Hg2+ electrochemical sensor using the CQD-AT composite coated on carbon fiber paper electrode (CQD-AT/CFP) exhibits superior analysis performance such as wide linear range (0.6 1011160 106 M) for Pb2+ and Hg2+ with a limit of detection (LOD) of 3.0 pM and 6.2 pM for Pb2+ and Hg2+. CQD-AT/CFP modified electrode can be considered as a potential material for electrochemical simultaneous determination of Pb2+ and Hg2+ in different water samples. 2023 Elsevier B.V.
creator: Keerthana P.; George A.; Bharath M.; Ghosh M.; Varghese A.
source: Chemical Engineering Journal, Vol-480
publisher: Elsevier B.V.
date: 2024-01-01
rights: Restricted Access
relation: ISSN: 13858947; CODEN: CMEJA
format: Online
language: English
type: Article
coverage: Keerthana P., Department of Chemistry, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India; George A., Department of Chemistry, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India; Bharath M., Department of Chemistry, Ashoka University, Haryana, 131029, India; Ghosh M., Department of Chemistry, Ashoka University, Haryana, 131029, India; Varghese A., Department of Chemistry, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India

Dual ion-imprinted chitosan-stabilized platinum nanoparticles for simultaneous electrochemical detection of Cd2? and Pb2? in water samples
subject: Cd2? detection; Chitosan-stabilized PtNPs; Differential pulse anodic stripping voltammetry; Dual ion-imprinted sensor; Heavy metal sensing; Pb2? detection
description: The development of highly selective and ultrasensitive electrochemical sensors for trace-level heavy metal monitoring remains a critical challenge in environmental analysis. In this work, a novel dual ion-imprinted, chitosan-stabilized platinum nanoparticle (PtNP)modified glassy carbon electrode (GCE) is reported for the simultaneous electrochemical detection of Cd2? and Pb2? in aqueous media. The synthesized PtNPs provide a large electroactive surface area and are uniformly stabilized within a chitosan matrix enriched with oxygen- and nitrogen-containing functional groups, which act as selective coordination sites for target metal ions. The incorporation of dual ion-imprinting generates specific recognition cavities that promote selective adsorption of Cd2? and Pb2? through electrostatic and coordination interactions, leading to significantly enhanced sensitivity and selectivity. Under optimized conditions, the sensor exhibits wide linear detection ranges of 44.04pM0.18nM for Pb2? and 79.4pM0.18nM for Cd2?, with remarkably low detection limits of 13.2pM and 23.83pM, respectively. The proposed sensing platform demonstrates excellent anti-interference capability and reliable performance in real water samples, confirming its applicability for practical environmental monitoring. This study highlights the synergistic effect of dual ion-imprinting and chitosan-stabilized PtNPs, offering a robust and efficient strategy for multi-ion electrochemical sensing of toxic heavy metals. The Author(s), under exclusive licence to Springer Nature B.V. 2026.
creator: Ann Maria, C.G.; Nidhin, M.
source: Journal of Nanoparticle Research;Volume;28;Issue;6;Article No.;144;
publisher: Springer Science and Business Media B.V.
date: 01-01-2026
rights: Restricted Access; Hardcopy may be available in the library
relation: ISSN: 13880764;
format: online
language: English
type: Article
coverage: Ann Maria C.G., Department of Chemistry, CHRIST(Deemed to Be University), Bengaluru, India; Nidhin M., Department of Chemistry, CHRIST(Deemed to Be University), Bengaluru, India

Dual purpose behavior of Ni-PTC MOF for high performance supercapacitor and water splitting applications
subject: Hydrogen evolution; Metal-organic framework; Ni; Supercapacitors; Water splitting
description: Metal-organic frameworks (MOFs) have elicited significant interest as next-generation materials for storing and converting energy, owing to their structural versatility and tunable physicochemical properties. In the present work, a nickel-based MOF, referred to as Ni-PTC, was synthesized via a straightforward method and explored for its dual functionality as a supercapacitor electrode and an electrocatalyst for overall water splitting. Structural and morphological analyses confirmed the materials high surface area, hierarchical porosity, and excellent crystallinity. As a supercapacitor electrode, Ni-PTC delivered a high specific capacitance of 953.86 F g?1 at 1 A g?1 and demonstrated superior cycling durability, retaining 92 % of its initial capacitance after 5000 cycles. Its electrocatalytic performance was assessed for both hydrogen (HER) and oxygen evolution reactions (OER), exhibiting overpotentials of 241 mV and 400 mV, respectively, at a current density of 10 mA cm?2. The catalyst also showed excellent operational stability, underscoring its potential in energy-related applications. 2026 Elsevier B.V.
creator: T. S., Sai Sri; Anand, Samika; Sunajadevi, Kalathiparambil Rajendra Pai; Kumar, Abhishek; Yelamaggad, Channabasaveshwar V.; Saravanakumar, B.; Pinheiro, Dephan; Mohan, Mothi Krishna
source: Colloids and Surfaces A: Physicochemical and Engineering Aspects;Volume;736;Issue;;Article No.;139593;
publisher: Elsevier B.V.
date: 01-01-2026
rights: Restricted Access; Hardcopy may be available in the library
relation: ISSN: 9277757; CODEN: CPEAE
format: online
language: English
type: Article
coverage: T. S. S.S., Department of Chemistry, Christ University, Karnataka, Bengaluru, 560029, India; Anand S., Department of Chemistry, Christ University, Karnataka, Bengaluru, 560029, India, Centre for Renewable Energy and Environmental Sustainability, Christ University, Karnataka, Bengaluru, 560029, India; Sunajadevi K.R.P., Department of Chemistry, Christ University, Karnataka, Bengaluru, 560029, India, Centre for Renewable Energy and Environmental Sustainability, Christ University, Karnataka, Bengaluru, 560029, India; Kumar A., Department of Chemistry, Manipal Institute of Technology, Manipal Academy of Higher Education, Karnataka, Manipal, 576104, India, Centre for Nano and Soft Matter Sciences (CeNS), Arkavathi, Survey No.7, Shivanapura, Dasanapura Hobli, Karnataka, Bengaluru, 562162, India; Yelamaggad C.V., SJB Institute of Technology, Health & Education City, Kengeri, Karnataka, Bengaluru, 560060, India, Department of Chemistry, Manipal Institute of Technology, Manipal Academy of Higher Education, Karnataka, Manipal, 576104, India, Centre for Nano and Soft Matter Sciences (CeNS), Arkavathi, Survey No.7, Shivanapura, Dasanapura Hobli, Karnataka, Bengaluru, 562162, India; Saravanakumar B., Department of Physics, Dr. Mahalingam College of Engineering and Technology, Tamil Nadu, Pollachi, 642003, India; Pinheiro D., Department of Chemistry, Christ University, Karnataka, Bengaluru, 560029, India, Centre for Renewable Energy and Environmental Sustainability, Christ University, Karnataka, Bengaluru, 560029, India; Mohan M.K., Department of Sciences and Humanities, Christ University, Karnataka, Bengaluru, 560076, India

Dual solutions for unsteady stagnation-point flow of prandtl nanofluid past a stretching/shrinking plate
subject: Brownian motion; Dual solutions; Nanofluid; Porous medium; Prandtl fluid stagnation-point flow; Stretching/shrinking sheet
description: Dual solutions for the time-dependent flow of a Prandtl fluid containing nanoparticles along a stretching/shrinking surface are presented. The nano Prandtl fluid fills the porous stretching/shrinking surface. The Buongiorno model is employed by accounting Brownian motion and thermophoresis slip mechanisms in the analysis. The relevant nonlinear problem is treated numerically via Runge-Kutta-Fehlberg scheme. The flow profiles are scrutinized with respect to the different governing parameters. Results of this study indicate that the temperature boundary layer thickness increased due to the influence of nanoparticles. 2018 Trans Tech Publications, Switzerland.
creator: Mahanthesh B.; Gireesha B.J.
source: Defect and Diffusion Forum, Vol-388, pp. 124-134.
publisher: Trans Tech Publications Ltd
date: 2018-01-01
rights: Restricted Access
relation: ISSN: 10120386; CODEN: DDAFE
format: Online
language: English
type: Article
coverage: Mahanthesh B., Department of Studies and Research in Mathematics, Kuvempu University, Shankarghatta, Shimoga, Karnataka, 577451, India; Gireesha B.J., Department of Mathematics, Christ University, Bangalore, Karnataka, 560029, India

Dual strategy for enhanced photocatalytic degradation of tetracycline: Phosphorus doping and cobalt boride co-catalyst loading on g-C3N4
subject: Co-catalyst; Cobalt boride; gC3N4; P-doping; Photocatalyst; Tetracycline
description: Despite being promising for the removal of ever-growing pharmaceutical contamination from water, the g-C3N4 photocatalyst still faces roadblocks to implementation due to its intrinsic properties, for example, the limited visible light absorption, reduced charge separation capacity, and low mobility of photo-excited electrons. Doping with non-metals and loading with the co-catalyst is an effective approach to overcome the abovementioned limitations for the g-C3N4 photocatalyst. Herein, both these strategies are integrated in cobalt-boride loaded on phosphorous-doped g-C3N4 (CoB/P-g-C3N4) by facile chemical fabrication routes. Detailed morphological, structural, chemical, and spectroscopic analyses demonstrated that phosphorus doping effectively reduces the bandgap of g-C3N4 to absorb more visible light. Uniformly distributed CoB-nanoparticles create local Schottky barriers that trap photo-generated electrons from g-C3N4 to suppress charge carrier recombination. The optimized CoB/P-g-C3N4 photocatalyst produces ~35 times higher degradation rate constant than the pristine g-C3N4 for the photocatalytic removal of tetracycline antibiotics from water under visible light irradiation. Combining these advantageous features with cost-effective and stable elements, CoB/P-g-C3N4 offers an optimal solution for tuning the intrinsic electronic structure and surface reactivity of g-C3N4, making it highly effective for various photocatalytic applications. 2025 Elsevier Ltd
creator: Vinay Kumar M.; Fendrich M.; Orlandi M.; Miotello A.; Gupta S.; Patel R.; Fernandes R.; Patel N.
source: Journal of Water Process Engineering, Vol-70
publisher: Elsevier Ltd
date: 2025-01-01
rights: Restricted Access
relation: ISSN: 22147144
format: Online
language: English
type: Article
coverage: Vinay Kumar M., Department of Physics and Electronics, Christ University, Bengaluru, 560029, India; Fendrich M., Department of Physics, Universitdegli Studi di Trento, I-38123, Povo, Trento, Italy; Orlandi M., Department of Physics, Universitdegli Studi di Trento, I-38123, Povo, Trento, Italy; Miotello A., Department of Physics, Universitdegli Studi di Trento, I-38123, Povo, Trento, Italy; Gupta S., Advanced Materials Department, Joef Stefan Institute, Jamova 39, Ljubljana, 1000, Slovenia; Patel R., Department of Physics and Electronics, Christ University, Bengaluru, 560029, India; Fernandes R., Department of Physics and Electronics, Christ University, Bengaluru, 560029, India; Patel N., Department of Physics and Electronics, Christ University, Bengaluru, 560029, India

Dual strategy for enhanced photocatalytic degradation of tetracycline: Phosphorus doping and cobalt boride co-catalyst loading on g-C3N4
subject: Co-catalyst; Cobalt boride; gC3N4; P-doping; Photocatalyst; Tetracycline
description: Despite being promising for the removal of ever-growing pharmaceutical contamination from water, the g-C3N4 photocatalyst still faces roadblocks to implementation due to its intrinsic properties, for example, the limited visible light absorption, reduced charge separation capacity, and low mobility of photo-excited electrons. Doping with non-metals and loading with the co-catalyst is an effective approach to overcome the abovementioned limitations for the g-C3N4 photocatalyst. Herein, both these strategies are integrated in cobalt-boride loaded on phosphorous-doped g-C3N4 (CoB/P-g-C3N4) by facile chemical fabrication routes. Detailed morphological, structural, chemical, and spectroscopic analyses demonstrated that phosphorus doping effectively reduces the bandgap of g-C3N4 to absorb more visible light. Uniformly distributed CoB-nanoparticles create local Schottky barriers that trap photo-generated electrons from g-C3N4 to suppress charge carrier recombination. The optimized CoB/P-g-C3N4 photocatalyst produces ~35 times higher degradation rate constant than the pristine g-C3N4 for the photocatalytic removal of tetracycline antibiotics from water under visible light irradiation. Combining these advantageous features with cost-effective and stable elements, CoB/P-g-C3N4 offers an optimal solution for tuning the intrinsic electronic structure and surface reactivity of g-C3N4, making it highly effective for various photocatalytic applications. 2025 Elsevier Ltd
creator: Vinay Kumar, M.; Fendrich, Murilo; Orlandi, Michele; Miotello, Antonio; Gupta, Suraj; Patel, Rupali; Fernandes, Rohan; Patel, Nainesh
source: Journal of Water Process Engineering;Volume;70;Issue;;Article No.;107036;
publisher: Elsevier Ltd
date: 01-01-2025
rights: All Open Access; Green Open Access
relation: ISSN: 22147144;
format: online
language: English
type: Article
coverage: Vinay Kumar M., Department of Physics and Electronics, Christ University, Bengaluru, 560029, India; Fendrich M., Department of Physics, Universitdegli Studi di Trento, I-38123, Povo, Trento, Italy; Orlandi M., Department of Physics, Universitdegli Studi di Trento, I-38123, Povo, Trento, Italy; Miotello A., Department of Physics, Universitdegli Studi di Trento, I-38123, Povo, Trento, Italy; Gupta S., Advanced Materials Department, Joef Stefan Institute, Jamova 39, Ljubljana, 1000, Slovenia; Patel R., Department of Physics and Electronics, Christ University, Bengaluru, 560029, India; Fernandes R., Department of Physics and Electronics, Christ University, Bengaluru, 560029, India; Patel N., Department of Physics and Electronics, Christ University, Bengaluru, 560029, India

Dual-mode chemosensor for the fluorescence detection of zinc and hypochlorite on a fluorescein backbone and its cell-imaging applications
description: Fluorescein coupled with 3-(aminomethyl)-4,6-dimethylpyridin-2(1H)-one (FAD) was synthesized for the selective recognition of Zn2+ over other interfering metal ions in acetonitrile/aqueous buffer (1 : 1). Interestingly, there was a significant fluorescence enhancement of FAD in association with Zn2+ at 426 nm by strong chelation-induced fluorescence enhancement (CHEF) without interrupting the cyclic spirolactam ring. A binding stoichiometric ratio of 1 : 2 for the ligand FAD with metal Zn2+ was proven by a Jobs plot. However, the cyclic spirolactam ring was opened by hypochlorite (OCl?) as well as oxidative cleavage of the imine bond, which resulted in the emission enhancement of the wavelength at 520 nm. The binding constant and detection limit of FAD towards Zn2+ were determined to be 1 104 M?1 and 1.79 ?M, respectively, and the detection limit for OCl? was determined as 2.24 ?M. We introduced here a dual-mode chemosensor FAD having both the reactive functionalities for the simultaneous detection of Zn2+ and OCl? by employing a metal coordination (Zn2+) and analytes (OCl?) induced chemodosimetric approach, respectively. Furthermore, for the practical application, we studied the fluorescence imaging inside HeLa cells by using FAD, which demonstrated it can be very useful as a selective and sensitive fluorescent probe for zinc. 2022 The Royal Society of Chemistry.
creator: Maity S.; Maity A.C.; Das A.k.; Bhattacharyya N.
source: Analytical Methods, Vol-14, No. 28, pp. 2739-2744.
publisher: Royal Society of Chemistry
date: 2022-01-01
rights: Restricted Access
relation: ISSN: 17599660; PubMed ID: 35775440
format: Online
language: English
type: Article
coverage: Maity S., Department of Applied Sciences, Haldia Institute of Technology, Hatiberia, West Bengal, Haldia, 721657, India; Maity A.C., Department of Chemistry, Indian Institute of Engineering Science and Technology, Shibpur, West Bengal, Howrah, 711103, India; Das A.k., Department of Chemistry, CHRIST (Deemed to be University), Hosur Road, Karnataka, Bengaluru, 560029, India; Bhattacharyya N., Panskura Banamali College, Purba Medinipur, West Bengal, India

Dual-Phase-Lag Bioheat Analysis of Non-Fourier Thermal Wave Propagation in Multilayer Ocular Tissues
subject: dual-phase-lag bioheat model; human eye thermodynamics; non-Fourier heat conduction; porosity and perfusion effects; sensitivity analysis; surrogate modeling/reduced-order modeling; thermal safety assessment; thermal wave propagation
description: This study presents an advanced analytical framework for predicting thermal wave propagation in a multilayer ocular structure using the dual-phase-lag (DPL) bioheat formulation. The results confirm that non-Fourier thermal transport mechanisms are essential for accurately capturing transient heat behavior in biological tissues, particularly under external thermal exposure. Compared with classical Fourier and LordShulman models, the DPL model predicts smoother temperature gradients and lower peak thermal loads, thereby providing more physiologically realistic temperature distributions. The model validity regime analysis demonstrates clear operational boundaries where classical diffusion-based formulations fail and non-Fourier effects dominate thermal response. Sensitivity analysis reveals that ambient temperature and evaporation primarily control anterior ocular thermal behavior, while tissue porosity and blood perfusion significantly influence deeper layers such as the retina and sclera. Transient thermal comparisons confirm that classical models overpredict early-time heating due to the absence of relaxation effects. Multi-parameter response surface and thermal safety mapping highlight strong nonlinear coupling between environmental and physiological transport mechanisms, enabling quantitative identification of safe exposure limits. Additionally, surrogate modeling demonstrates high prediction accuracy relative to full DPL solutions while significantly reducing computational cost, enabling real-time thermal prediction and parametric optimization. Overall, the proposed hybrid analyticalcomputational framework establishes a robust platform for ocular thermal safety assessment, biomedical treatment planning, and environmental exposure risk evaluation. The findings also provide a generalized foundation for studying non-Fourier heat transport in layered porous biological media and support the development of next-generation predictive thermal modeling tools. 2026 Wiley P…
creator: Singhal, Abhinav; Philip, Vineeta; Saeed, Abdulkafi Mohammed; Hundekari, Sheela; Tiwari, Rakhi; Baby, Riya; Chaudhary, Anjali
source: Heat Transfer;Volume;55;Issue;4;pp.2713-2728
publisher: John Wiley and Sons Inc
date: 01-01-2026
rights: Restricted Access; Hardcopy may be available in the library
relation: ISSN: 26884534;
format: online
language: English
type: Article
coverage: Singhal A., Christ University, Bengaluru, India; Philip V., Department of Electronics and Telecommunication Engineering, AISSMS Institute of Information Technology, Maharashtra, Pune, India; Saeed A.M., Department of Mathematics, College of Science, Qassim University, Buraydah, Saudi Arabia; Hundekari S., School of Computer Applications, SOET Pimpri Chinchwad University Sate Maval, Pune, India; Tiwari R., University Department of Mathematics, Babasaheb Bhimrao Ambedkar Bihar University, Muzaffarpur, India; Baby R., Centre for Mathematical Needs, Department of Mathematics, CHRIST (Deemed to be University), Bengaluru, India; Chaudhary A., Department of Management, College of Business Administration, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia

https://archives.christuniversity.in/items/show/21765
title: Dual-Responsive Excited-State Intramolecular Double-Proton Transfer-Based Optical Probe for Hypochlorite and Picric Acid Detection With Applications in 3D-Printed Indicators, Biosensing, and Theranostics
subject: 3D printing; anticancer; biosensor; excited-state intramolecular double-proton transfer; fluorescence
description: A dual-mode fluorescent probe incorporating aggregation-induced emission (AIE) activity, named 2-((E)-1-(((E)-4-(diethylamino)-2-hydroxybenzylidene)hydrazineylidene)ethyl)naphthalen-1-ol (DHN), was formulated and synthesized for the selective detection of explosive picric acid (PA) and hypochlorite (OCl?) via suppression of the excited-state intramolecular double-proton transfer (ESIDPT) mechanism. A significant fluorescence quenching of DHN at 535 nm was observed upon interaction with both PA and OCl? with the detection limits at 0.012 ?M and 2.34 ?M as well as high quenching efficiencies (Ksv) of 3.811 104 M?1 and 1.164 104 M?1, respectively. To elucidate the sensing behavior, various spectroscopic techniques were employed. Interestingly, DHN exhibited AIE behavior in high water content, showing a red-shifted emission accompanied by a visible fluorescence change from whitish green to yellow. As a novel application, DHN was incorporated into a 3D-printed polymer system, demonstrating its practical utility in detecting PA and OCl?. Further, for biological relevance, the interaction of DHN with OCl? was explored for its cytotoxicity against MCF-7 breast cancer cells and its imaging capability in physiological media. Therefore, we believe that the present work provides a promising direction for the future development of optical-based detection of hypochlorite and picric acid in liquid as well as solid phases. 2026 Wiley-VCH GmbH.
creator: Kumar, Malavika S.; Das, Avijit Kumar; Mathias, Royston; Kumbhakar, Partha; Karan, Gouri; Choudhury, Sujata Maiti
source: ChemPhotoChem;Volume;10;Issue;4;Article No.;e202600003;
publisher: John Wiley and Sons Inc
date: 01-01-2026
rights: Restricted Access; Hardcopy may be available in the library
relation: ISSN: 23670932;
format: online
language: English
type: Article
coverage: Kumar M.S., Department of Chemistry, Christ University, Karnataka, Bangalore, India, Centre for Renewable Energy and Environmental Sustainability, Christ University, Karnataka, Bangalore, India; Das A.K., Department of Chemistry, Christ University, Karnataka, Bangalore, India, Centre for Renewable Energy and Environmental Sustainability, Christ University, Karnataka, Bangalore, India; Mathias R., Department of Physics and Electronics, Christ University, Karnataka, Bangalore, India; Kumbhakar P., Department of Physics and Electronics, Christ University, Karnataka, Bangalore, India; Karan G., Cancer Nanotherapeutics Laboratory, Biochemistry, Molecular Endocrinology, and Reproductive Physiology Division, Department of Human Physiology, Vidyasagar University, Midnapore, India; Choudhury S.M., Cancer Nanotherapeutics Laboratory, Biochemistry, Molecular Endocrinology, and Reproductive Physiology Division, Department of Human Physiology, Vidyasagar University, Midnapore, India

Duplex functionally graded and multilayered thermal barrier coatings based on 8 % yttria stabilized zirconia and pyrochlores
subject: Mechanical and Automobile Engineering
description: Thermal Barrier Coatings (TBCs) protect gas turbine engine metal components while they serve in a high temperature environment (upto 1200?). 8% Yttria- Stabilized Zirconia (8YSZ) is the current state of the art material for TBCs. Typically, 250 to 500 ?m (upto 2 mm) thick TBCs can lower the metal temperature by upto 150C than the service temperature and thereby enhance life to the components. 8YSZ TBCs however, suffer from (a) increased sinterability, (b) phase de-stabilization and (c) poor adhesion with time in service at high temperature. In order to facilitate longer engine running time, research is being directed towards finding (i) newer materials that do not possess these deficiencies or (ii) configurations that can overcome them. In order to further improve the performance efficiency of the engines, TBC materials with extended thermal fatigue life at higher than current service temperatures (>1100?) are also being actively investigated. In the same area of research, this thesis presents the findings of work on air plasma sprayed (i) duplex, (ii) functionally graded and (iii) multilayered configurations of TBCs synthesized from commercial 8YSZ and lab synthesized pyrochlore (lanthanum zirconate, lanthanum cerate and lanthanum cerium zirconate) compositions with NiCrAlY bond coat. Duplex i.e., 2-layered TBCs, synthesized by depositing commercial 8YSZ ceramic topcoat (METCO 204 NS) and NiCrAlY bond coat (AMDRY 962) plasma spray powders on Inconel 718 and/or stainless-steel substrates were used for benchmarking purpose (designated as conventional 8YSZ TBC). Next, TBCs were prepared by using these two powders in blended form (8YSZ+NiCrAlY) to serve as a third intermediate layer between the duplex TBC layers in functionally graded material (FGM) configurations. The role of he third intermediate layer is to minimize the thermal expansion mismatch between the ceramic and bond coat layers at elevated temperatures. 8YSZ FGM TBCs were prepared from three different blend…
creator: Kirti Teja, Pasupuleti.
source: Author's Submission
publisher: Christ(Deemed to be University)
date: 2021-01-01
contributor: Ramaswamy, Parvati and Narayana Murthy, SVS
rights: Open Access
relation: 61000167
format: PDF
language: English
type: PhD

Duplex functionally graded and multilayered thermal barrier coatings based on 8% yttria stabilized zirconia and pyrochlores
subject: Mechanical Engineering
description: Thermal Barrier Coatings (TBCs) protect gas turbine engine metal components while they serve in a high temperature environment (upto 1200℃). 8% YttriaStabilized Zirconia (8YSZ) is the current state of the art material for TBCs. Typically, 250 to 500 μm (upto 2 mm) thick TBCs can lower the metal temperature by upto 150°C than the service temperature and thereby enhance life to the components. 8YSZ TBCs however, suffer from (a) increased sinterability, (b) phase de-stabilization and (c) poor adhesion with time in service at high temperature. In order to facilitate longer engine running time, research is being directed towards finding (i) newer materials that do not possess these deficiencies or (ii) configurations that can overcome them. In order to further improve the performance efficiency of the engines, TBC materials with extended thermal fatigue life at higher than current service temperatures (>1100℃) are also being actively investigated. In the same area of research, this thesis presents the findings of work on air plasma sprayed (i) duplex, (ii) functionally graded and (iii) multilayered configurations of TBCs synthesized from commercial 8YSZ and lab synthesized pyrochlore (lanthanum zirconate, lanthanum cerate and lanthanum cerium zirconate) compositions with NiCrAlY bond coat.
creator: Teja, Pasupuleti Kirti - 1670089
publisher: CHRIST (Deemed to be University)
language: English
type: PhD

Durability and elevated temperature behaviour of geopolymer concrete developed with ground granulated blast furnace slag and sugarcane bagasse ash
subject: Elevated temperatures; Rapid chloride permeability; Sorptivity; Sulphate attack
description: In the current experimental study, the durability studies such as rapid chloride permeability, sorptivity and early and long-term effect of sulphate attack were conducted on GGBS-SCBA based geopolymer concrete. Also elevated temperature behaviour of geopolymer concrete specimen subjected to temperatures of 200?, 400?, 600? and 800? were studied to evaluate the strength, mass loss and effect on microstructures due to elevated temperature. The degradation of geopolymer concrete at elevated temperatures was observed by scanning electron microscope, energy dispersive X-ray analysis, X-ray diffraction analysis and Fourier transform infrared spectroscopy analysis. From the test findings it is observed that the geopolymer concrete developed have good durability characteristics. It is also observed that geopolymer concrete retains more than 50% of strength up to a temperature of 600?. From scanning electron microscope analysis of geopolymer concrete developed with GGBS and SCBA, it is found that there are larger crack formations and pores which are visible in the geopolymer concrete matrix when the specimens are exposed to an elevated temperature of 800? which confirms the degradation of CASH gel in the geopolymer concrete mixes developed. 2023, The Author(s), under exclusive licence to Springer Nature Switzerland AG.
creator: H.M T.; Unnikrishnan S.
source: Journal of Building Pathology and Rehabilitation, Vol-8, No. 2
publisher: Springer Nature
date: 2023-01-01
rights: Restricted Access
relation: ISSN: 23653159
format: Online
language: English
type: Article
coverage: H.M T., Department of Civil Engineering, CHRIST (Deemed to be University), Karnataka, Bangalore, India, Department of Civil Engineering, Ballari Institute of Technology & Management, Karnataka, Ballari, India; Unnikrishnan S., Department of Civil Engineering, CHRIST (Deemed to be University), Karnataka, Bangalore, India