Hybrid Renewable Source Powered Dual Input Single Output Converter With High Voltage Gain for Rural Healthcare Facilities
subject: clamped capacitor converter; energy management; hybrid solar PV-supercapacitor; interleaved switched capacitor two-way converter; MATLAB/Simulink; rural health care center; voltage source inverter
description: Rural dwellers need a well-equipped healthcare service for a decent life. Most of the rural areas located in southern parts of India away from the grid connection thereby lack in electricity. Unreliable electric power leads to the limited access or inaccessibility of most essential medical equipment in the clinic. The deficiency has also reduced rural healthcare centers ethics criteria. This research work finds all the available resources in the rural healthcare clinic and proposes hybrid solar PV source and supercapacitor-based approaches to make sure of reliable energy access and uninterrupted power supply. Any healthcare facilities include an emergency room, waiting hall, nursing room, consulting room, delivery room, male and female room, and a testing lab. It may take a daily average energy consumption of 16 kWh with 3 kW peak demand. In the input side, solar PV system with an H-type clamped capacitorbased boost converter is proposed for the reduction of input current ripples and power switch conduction losses. At the load side, a capacitor with a switch (switched capacitor) is considered to reduce voltage stress of the components present in the topology and to attain high gain. This research work adopts interleaved structure-based capacitors for current ripple reduction, and the series structure is considered to attain high gain. The proposed novel converter takes the input voltage of 40 V and produces the output voltage of 280 V. The DC link output is then connected with the voltage source inverter (VSI) to get a desired output. The proposed novel converter is employed to run a 3? induction motor for the AC load with the rating of 400 V, 15 A AC power. MATLAB R2015a software is preferred for the simulation analysis. Copyright 2025 K. M. D. Riyaz Ali et al. Journal of Electrical and Computer Engineering published by John Wiley & Sons Ltd.
creator: Ali, K. M. D. Riyaz; Memala, W. Abitha; Amutha, W. Margaret
source: Journal of Electrical and Computer Engineering;Volume;2025;Issue;1;Article No.;8855158;
publisher: John Wiley and Sons Ltd
date: 01-01-2025
rights: All Open Access; Gold Open Access; Green Open Access
relation: ISSN: 20900147;
format: online
language: English
type: Article
coverage: Ali K.M.D.R., Department of Electrical and Electronics Engineering, Sathyabama Institute of Science and Technology (Deemed to be University), Tamil Nadu, Chennai, India; Memala W.A., Department of Electrical and Electronics Engineering, Sathyabama Institute of Science and Technology (Deemed to be University), Tamil Nadu, Chennai, India; Amutha W.M., Department of Electrical and Electronics Engineering, SRM Institute of Science and Technology, Deemed to be University, Ramapuram Campus, Ramapuram, Tamil Nadu, India

Hybrid response surface methodologyparticle swarm optimization framework for predictive modeling and tensile strength optimization of PLA bio-composites
subject: Fused deposition modeling (FDM); particle swarm optimization (PSO); post-annealing; response surface methodology (RSM); rice husk derived SiO2
description: Developing mechanically robust biodegradable composites is critical for next-generation orthopedic support devices. Although polylactic acid (PLA) is widely used in additive manufacturing, incorporating fillers can lead to reduced tensile performance when interfacial bonding with the matrix is inadequate. This study aims to enhance the mechanical performance of 3D-printed PLA reinforced with 2wt% rice husk-derived silica (SiO2) through optimized post-annealing. A hybrid statisticalcomputational framework combining Response Surface Methodology (RSM) and Particle Swarm Optimization (PSO) was implemented to identify optimal print speed, annealing temperature, and annealing time. PSO predicted the optimal conditions as 50mm/s, 90.90C, and 60min, respectively, corresponding to a projected ultimate tensile strength (UTS) of 54.65MPa. Confirmation experiments validated the prediction, yielding a mean UTS of 54.49MPa with an error below 1%. Scanning electron microscopy revealed improved interlayer fusion and enhanced ductility in the optimized samples relative to unoptimized ones. Overall, the integration of RSM and PSO effectively refined post-annealing conditions without modifying material composition, demonstrating a viable strategy for strengthening PLA-based biocomposites. The proposed framework provides a practical route for tailoring mechanical properties in biomedical additive manufacturing, particularly for load-bearing orthopedic applications. The Author(s) 2026
creator: Alagarsamy, Sivasamy; Seshadhri, Venugopal; Packkirisamy, Vignesh; Muruganandham, Rajagopal; Chanakyan, Chandrasekaran
source: Journal of Thermoplastic Composite Materials;
publisher: SAGE Publications Ltd
date: 01-01-2026
rights: Restricted Access; Hardcopy may be available in the library
relation: ISSN: 8927057; CODEN: JTMAE
format: online
language: English
type: Article
coverage: Alagarsamy S., Department of Mechanical Engineering, Mahath Amma Institute of Engineering & Tech, Pudukkottai, India; Seshadhri V., Department of Mechanical Engineering, Excel Engineering College, Komarapalayam, India; Packkirisamy V., Centre for Sustainable Materials and Surface Metamorphosis, Chennai Institute of Technology, Kundrathur, India; Muruganandham R., School of Business and Management, Christ University, Karnataka, Bangalore, India; Chanakyan C., Department of Mechanical Engineering, Global Academy of Technology, Bengaluru, India

Hybrid scheme image compression using DWT and SVD
subject: DCT; DWT; Image compression; SVD; Wavelet filters
description: Image compression is process of reducing data size to represent an image by removing redundant data. Hybrid scheme image compression is combination of methods performed in order or as an amalgam to form a new technique. In this paper, we proposed a new approach to compress the image by collaborating Discrete Wavelet Transformation (DWT) and Singular Value Decomposition (SVD). Image is decomposed into wavelets using DWT and approximate wavelet is subsequently transformed into four bands. Different wavelet filters are implemented for transformation namely Haar, Daubechies, Biorthogonal and Coiflets. Apart from approximate image, SVD is applied on remaining wavelets (Horizontal, Vertical and Diagonal Details) at each decomposition level. On reconstruction, various singular values are selected depending on the level transformation. The performance of the proposed method is compared and evaluated with SVD, DCT-SVD and DWT-DCT-SVD. Evaluation is carried out based on Compression Ratio (CR), Mean Squared Error (MSE), Peak Signal-to-Noise Ratio (PSNR) and Structural Similarity (SSIM) index. From the experimental results, it is observed that proposed method yields better MSE, PSNR and SSIM compared to state-of-the-art methods. 2017, Institute of Advanced Scientific Research, Inc. All rights reserved.
creator: Thinley T.; Praveen Kumar P.U.
source: Journal of Advanced Research in Dynamical and Control Systems, Vol-2018, pp. 225-233.
publisher: Institute of Advanced Scientific Research, Inc.
date: 2018-01-01
rights: Restricted Access
relation: ISSN: 1943023X
format: Online
language: English
type: Article
coverage: Thinley T., Department of Computer Science, Christ University, Bengaluru, India; Praveen Kumar P.U., Department of Computer Science, Christ University, Bengaluru, India

Hybrid Semantic Evaluation of Student Answers Using Rule Matching and BERT Embeddings
subject: AI-based Assessment; BERT; Hybrid model; Natural Language Processing; Text similarity
description: Accurate evaluation of student answers in online and traditional assessments is critical in education. In recent years, various text similarity-based methods have been proposed. However, there are certain challenges, such as the semantic and structural understanding of text. Thus, this paper uses the BERT model to present a hybrid evaluation framework that combines rule-based similarity techniques with deep semantic knowledge. The rule-based component utilizes predefined linguistic and domain-specific rules to ensure interpretability. At the same time, BERT-based similarity captures the semantic similarity and the paraphrased answers. Experimentation has been carried out on benchmark datasets, with the proposed hybrid model and human experts on manual evaluation. The performance comparison demonstrates that the hybrid model has performed significantly better than the traditional machine learning approaches in terms of accuracy and fairness of scoring. The proposed hybrid model is also compatible with deployment in educational platforms as it provides suitable feedback to learners. 2025 IEEE.
creator: Beri, Nimisha; Basha, J. Jeelan; Thilagam, M.; Suganthi, J.; Santhiya, C.; Hemaswathi, S.
source: International Conference on Intelligent Communication Networks and Computational Techniques, ICICNCT 2025;
publisher: Institute of Electrical and Electronics Engineers Inc.
date: 01-01-2025
rights: Restricted Access; Hardcopy may be available in the library
relation: ISBN: 979-833158623-2;
language: English
type: Conference paper
coverage: Beri N., School of Education, Lovely Professional University, Phagwara, India; Basha J.J., School of Management Studies, Reva University, Bengaluru, India; Thilagam M., Sri S.Ramasamy Naidu Memorial College, Department of Computer Science, Sattur, India; Suganthi J., Christ Deemed to be university, Department of Computer Science, Bengaluru, India; Santhiya C., Thiagarajar College of Engg., Department of Computer Sci. and Engg, Madurai, India; Hemaswathi S., Kalasalingam Academy of Research and Educ., Department of Information Technology, Tamil Nadu, India

Hybrid short term load forecasting using ARIMA-SVM
subject: Autoregressive Integrated Moving Average (ARIMA); Mean Absolute Percentage Error (MAPE); Outliers; Percentage Error (PE); Short Term Load Forecasting (STLF); Support Vector Machines (SVM)
description: In order to perform a stable and reliable operation of the power system network, short term load forecasting is vital. High forecasting accuracy and speed are the two most important requirements of short-term load forecasting. It is important to analyze the load characteristics and to identify the main factors affecting the load. ARIMA method is most commonly used, as it predict the load purely based on the historical loads and no other assumptions are considered. Therefore there is a need for Outlier detection and correction method as the prediction is based on historical data, the historical data may contain some abnormal or missing values called outliers. Also the load demand is influenced by several other external factors such as temperature, day of the week etc., the Artificial Intelligence techniques will incorporate these external factors which improves the accuracy further. In this paper a hybrid model ARIMA-SVM is used to predict the hourly demand. ARIMA is used to predict the demand after correcting the outliers using Percentage Error (PE) method and its deviation is corrected using SVM. Main objective of this method is to reduce the Mean Absolute percentage Error (MAPE) by introducing a hybrid method employing with outlier detection technique. The historical load data of 2014-2015 from a utility system of southern region is taken for the study. It is observed that the MAPE error got reduced and its convergence speed increased. 2017 IEEE.
creator: Karthika S.; Margaret V.; Balaraman K.
source: 2017 Innovations in Power and Advanced Computing Technologies, i-PACT 2017, Vol-2017-January, pp. 1-7.
publisher: Institute of Electrical and Electronics Engineers Inc.
date: 2017-01-01
rights: Restricted Access
relation: ISBN: 978-150905682-8
format: Online
language: English
type: Conference paper
coverage: Karthika S., Department of Electrical and Electronics Engineering, Christ University, Faculty of Engineering, Bangalore, India; Margaret V., Department of Electrical and Electronics Engineering, Christ University, Faculty of Engineering, Bangalore, India; Balaraman K., Power Research and Development Consultants Pvt. Ltd, Bengaluru, India

Hybrid shuffled frog leaping and improved biogeography-based optimization algorithm for energy stability and network lifetime maximization in wireless sensor networks
subject: energy stability; improved biogeography-based optimization algorithm (IBBOA); network lifetime; shuffled frog leaping algorithm; wireless sensor networks (WSNs)
description: Wireless sensor networks are significantly used for data sensing and aggregating dusts from a remote area environment in order to utilize them in a diversified number of engineering applications. The data transfer among the sensor nodes is attained through the inclusion of energy efficient routing protocols. These energy efficient routing necessitates optimal cluster head selection procedure for handling the challenge of energy consumption to extend the stability and lifetime in the sensor networks. The implementation of energy efficient routing is still complicated even when the process of clustering is enhanced through the cluster head selection. The majority of the existing cluster head selection schemes suffer from the issues of poor selection accuracy, increased computation, and duplicate nodes' selection. In this paper, hybrid shuffled frog leaping and improved biogeography-based optimization algorithm (HSFLBOA) for optimal cluster head selection is proposed for resolving issues that are common in cluster head selection schemes. This proposed HSFLBOA used the objective function that used the parameters of node energy, data packet transmission delay, cluster traffic density, and internode distance in the cluster. The simulation results of the proposed HSFLBOA is determined to be significant in achieving superior throughput and network energy compared to benchmarked metaheuristic optimal cluster head schemes. 2021 John Wiley & Sons Ltd.
creator: Tamilarasan N.; Lenin S.B.; Jayapandian N.; Subramanian P.
source: International Journal of Communication Systems, Vol-34, No. 4
publisher: John Wiley and Sons Ltd
date: 2021-01-01
rights: Restricted Access
relation: ISSN: 10745351; CODEN: IJCYE
format: Online
language: English
type: Article
coverage: Tamilarasan N., Department of ECE, Sri Indu College of Engineering and Technology, Hyderabad, India; Lenin S.B., Department of ECE, Sri Manakula Vinayagar Engineering College, Puducherry, India; Jayapandian N., Department of Computer Science & Engineering, Christ University, Bengaluru, India; Subramanian P., Department of CSE, Sri Indu College of Engineering and Technology, Hyderabad, India

Hybrid sparse and block-based compressive sensing algorithm for industry based applications
subject: block compressive sensing; image reconstruction; MRI image; sparse compressive sensing
description: Image reconstructions are a challenging task in MRI images. The performance of the MRI image can be measure by following parameters like mean squared error (MSE), peak signal-to-noise ratio (PSNR), and structural similarity index (SSIM). Compromising the above parameters and reconstructing the MRI image leads to false diagnosing. To avoid the false diagnosis, we have combined sparse based compressive sensing and block-based compressive sensing algorithm, and we introduced the hybrid sparse and block-based compressive sensing algorithm (HSBCS). In compressive stage, however, image reconstruction performance is decreased, hence, in the image reconstruction module, we have introduced convex relaxation algorithm. This proposed algorithm is obtained by relaxing some of the constraints of the original problem and meanwhile extending the objective function to the larger space. The performance is compared with the existing algorithm, block-based compressive sensing algorithm (BCS), BCS based on discrete wavelet transform (DWT), and sparse based compress-sensing algorithm (SCS). The experimentation is carried out using BRATS dataset, and the performance of image compression HSBCS evaluated based on SSIM, and PSNR, which attained 56.19 dB, and 0.9812. Copyright 2024 Inderscience Enterprises Ltd.
creator: Sekar R.; Manikanda Devarajan N.; Ravi G.; Rajasekaran B.; Chidambaram S.
source: International Journal of Enterprise Network Management, Vol-15, No. 1, pp. 44-59.
publisher: Inderscience Publishers
date: 2024-01-01
rights: Restricted Access
relation: ISSN: 17481252
format: Online
language: English
type: Conference paper
coverage: Sekar R., Department of ECE, Presidency University, Bangalore, India; Manikanda Devarajan N., Department of ECE, Malla Reddy Engineering College, Telangana, Secunderabad, India; Ravi G., Department of ECE, Sona College of Technology, Salem, India; Rajasekaran B., Department of ECE, Vinayaka Missions Kirupananda Variyar Engineering College, Salem, India; Chidambaram S., Department of ECE, Christ University, Bangalore, India

Hybrid Subset Feature Selection and Importance Framework
subject: Artificial Intelligence; Feature Importance; Feature Selection; feature-selectionpy; Stock Market; supervised learning
description: Feature selection algorithms are used in high-dimensional data to remove noise, reduce model overfitting, training and inference time, and get the importance of features. Features subset selection is choosing the subset with the best performance. This research provides a Hybrid subset feature selection and importance (HSFSI) framework that provides a pipeline with customization for choosing feature selection algorithms. The authors propose a hybrid algorithm in the HSFSI framework to select the best possible subset using an efficient exhaustive search. The framework is tested using the Bombay stock exchange IT index's companies' data collected quarterly for 16 years consisting of 71 financial ratios. The experimental results demonstrate that models created using 12 features chosen by the proposed algorithm outperform models with all features with up to 6% accuracy. The importance-based ranks of all features are generated using the framework calculated using 13 implemented feature selection techniques. All selected feature subsets are cross-validated using prediction models such as support vector machine, logistic regression, KNeighbors classffier, random forest, and deep neural network. The HSFSI framework is available as an open-source Python software package named ''feature-selectionpy'' available at GitHub and Python package index. 2023 IEEE.
creator: Chaudhari C.; Purswani G.
source: Proceedings of IEEE InC4 2023 - 2023 IEEE International Conference on Contemporary Computing and Communications
publisher: Institute of Electrical and Electronics Engineers Inc.
date: 2023-01-01
rights: Restricted Access
relation: ISBN: 979-835033577-4
format: Online
language: English
type: Conference paper
coverage: Chaudhari C., CHRIST (Deemed to Be University), Dept. of Commerce, Bangalore, India; Purswani G., CHRIST (Deemed to Be University), Dept. of Commerce, Bangalore, India

Hybridization of Texture Features for Identification of Bi-Lingual Scripts from Camera Images at Wordlevel
subject: GLCM; HOG; KNN; LBGLCM; LBHOG; LBP; SVM
description: In this paper, hybrid texture features are proposed for identification of scripts of bi-lingual camera images for a combination of 10 Indian scripts with Roman scripts. Initially, the input gray-scale picture is changed over into an LBP image, then GLCM and HOG features are extracted from the LBP image named as LBGLCM and LBHOG. These two feature sets are combined to form a potential feature set and are submitted to KNN and SVM classifiers for identification of scripts from the bilingual camera images. In all 77,000-word images from 11 scripts each contributing 7000-word images. The experimental results have shown the identification accuracy as 71.83 and 71.62% for LBGLCM, 79.21 and 91.09% for LBHOG, and 84.48 and 95.59% for combined features called CF, respectively for KNN and SVM. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
creator: Mallappa S.; Dhandra B.V.; Mukarambi G.
source: Lecture Notes in Electrical Engineering, Vol-967, pp. 113-124.
publisher: Springer Science and Business Media Deutschland GmbH
date: 2023-01-01
rights: Restricted Access
relation: ISSN: 18761100; ISBN: 978-981197168-6
format: Online
language: English
type: Conference paper
coverage: Mallappa S., Department of P.G.Studies and Research in Computer Science, Gulbarga University, Gulbarga, India; Dhandra B.V., Department of Statistics, Christ (Deemed to Be University), Bengaluru, India; Mukarambi G., School of Computer Science, Department of Computer Science, Central University of Karnataka, Gulbarga, India

Hycons Renewable Private Limited: decision to accept or reject an equity investment
subject: Financial analysis/forecasting; Management accounting/corporate finance; Small businesses
description: Learning outcomes: This study will help students determine the economic value of a firm particularly in case of a small business. The crux of the case is to help students estimate an enterprise value for a company and figure the actual worth of the company to aid in decision-making. Case overview/Synopsis: This case is about a decision dilemma faced by Shashi Hegde, Director, Hycons Renewable Private Ltd, a company ventured into the production of Bio-CNG. It is about a recent proposal received by the firm from APL Ltd for equity investment with 40% stake in the firm. The case reflects the dilemma faced by small businesses to choose between investment or loss of control. Accepting the proposal will bring in additional funds, whereas the Board loss control on the firm. The case revolves around this dilemma. To help Hegde in this task, he seeks advice from his CFO and his confidant Kumar. Complexity academic level: This case is most appropriate for a core finance class for both under-graduate and graduate programs. Supplementary materials: Teaching notes are available for educators only. Subject code: CSS 1: Accounting and Finance. 2022, Emerald Publishing Limited.
creator: Ramdas R.; Shankar N.
source: Emerald Emerging Markets Case Studies, Vol-12, No. 2, pp. 1-25.
publisher: Emerald Group Holdings Ltd.
date: 2022-01-01
rights: Restricted Access
relation: ISSN: 20450621
format: Online
language: English
type: Article
coverage: Ramdas R., School of Business and Management, CHRIST (Deemed to be University), Bangalore, India; Shankar N., School of Business and Management, CHRIST (Deemed to be University), Bangalore, India

Hycons Renewable Private Limited: Viable Biogas Production from Paddy Straws: A Capital Budgeting Decision
subject: Capital budgeting; funding techniques; net present value; sensitivity analysis
description: The case revolves around the decision to be taken by Mr Sashikant Hegde, Managing Director, Hycons Renewable Private Ltd, on the project viability of a business proposal. The proposal was to start a manufacturing plant in Punjab to produce compressed biogas using paddy straws. Hegde firmly believed that the company would do well considering the growth of the CNG market in India, as the oil and natural gas sector in India is among the top 10 core industries in the country and plays an important role in the existence of other important sectors as well. The proposal would benefit Hycons to establish its presence in northern India, but the project viability and funding of the investment remained an unanswered question. 2023 Lahore University of Management Sciences.
creator: Shankar N.; Ramdas R.
source: Asian Journal of Management Cases
publisher: Sage Publications India Pvt. Ltd
date: 2023-01-01
rights: Restricted Access
relation: ISSN: 9728201
format: Online
language: English
type: Article
coverage: Shankar N., School of Business and Management, CHRIST University, Karnataka, Bangalore, India; Ramdas R., School of Business and Management, CHRIST University, Karnataka, Bangalore, India

Hydro-thermo-electromechanical response in a size-dependent porous piezoelectric medium under memory-dependent MGT theory
subject: Hydro-thermo-electromechanical response; memory-dependent derivative; MooreGibsonThompson theory; nonlocal elasticity theory; porous piezoelectric medium
description: This study explores the intricate coupled hydro-thermo-electromechanical behavior of a size-dependent porous piezoelectric medium. We uniquely employ the memory-dependent MooreGibsonThompson (MGT) framework for heat conduction in conjunction with Eringens nonlocal elasticity theory to analyze the effects of time-delay and nonlocality on various physical fields. Novel constitutive relations are developed to capture these combined influences. Analytical solutions for displacements, temperatures (solid and fluid phases), stresses (normal and shear), and electric displacements and potentials are obtained using normal mode technique. A detailed graphical analysis illustrates the impact of time, nonlocality, and porosity under both open and short circuit electrical boundary conditions. Three-dimensional plots confirm the dispersive, diffusive, and memory-dependent behavior. The main findings reveal that nonlocality significantly smooths field gradients and broadens spatial profiles, while memory-dependent thermal conduction results in wave-like and delayed temperature responses, with the solid phase reacting faster than the fluid. Furthermore, electric potentials and displacements are considerably enhanced under open-circuit conditions, highlighting boundary effect sensitivity. It is also observed that increasing porosity consistently decreases the magnitudes of all fields and restricts their penetration depths, indicating a structural softening effect. This work presents a unique analytical model that integrates memory-dependent MGT theory with nonlocal elasticity to analyze the hydro-thermo-electromechanical behavior of a fluid-saturated porous piezoelectric medium. The theoretical framework provides a robust foundation for advancing the design and development of piezoelectric sensors and actuators operating in coupled hydro-thermo-electromechanical environments, particularly those with porous structures. Potential applications span geophysical monitoring, biomedical im…
creator: Das, Soumik; Sur, Abhik; Gupta, Vipin; Dutta, Rachaita; Singhal, Abhinav; Kumar, Pulkit
source: Mechanics of Advanced Materials and Structures;
publisher: Taylor and Francis Ltd.
date: 01-01-2025
rights: Restricted Access; Hardcopy may be available in the library
relation: ISSN: 15376494;
format: online
language: English
type: Article
coverage: Das S., School of Physical Sciences, Amrita Vishwa Vidyapeetham, Mysuru campus, Karnataka, India; Sur A., Department of Mathematics, Sister Nivedita University, Chakpachuria, India; Gupta V., Department of Mathematics, Gurugram University, Gurugram, India; Dutta R., Amrita School of Computing, Amrita Vishwa Vidyapeetham, Mysuru campus, Karnataka, India; Singhal A., Department of Mathematics, Christ University, Bangalore, India; Kumar P., Centre for Nondestructive Evaluation, Iowa State University, Ames, IA, United States

Hydrogen Sulfide-Induced Activatable Photodynamic Therapy Adjunct to Disruption of Subcellular Glycolysis in Cancer Cells by a Fluorescence-SERS Bimodal Iridium Metal-Organic Hybrid
subject: activatable PDT; ATP reduction; clinical validation; disrupting glycolysis; enhanced apoptosis; H2S depletion; stimuli-responsive activation
description: The practical application of photodynamic therapy (PDT) demands targeted and activatable photosensitizers to mitigate off-target phototoxicity common in always on photosensitizers during light exposure. Herein, a cyclometalated iridium complex-based activatable photodynamic molecular hybrid, Cy-Ir-7-nitrobenzofurazan (NBD), is demonstrated as a biomedicine for molecular precision. This design integrates a hydrogen sulfide (H2S)-responsive NBD unit with a hydroxy-appended iridium complex, Cy-Ir-OH. In normal physiological conditions, the electron-rich Ir metal center exerts electron transfer to the NBD unit, quenches the excited state dynamics, and establishes a PDT-off state. Upon exposure to H2S, Cy-Ir-NBD activates into the potent photosensitizer Cy-Ir-OH through nucleophilic substitution. This mechanism ensures exceptional specificity, enabling targeted phototherapy in H2S-rich cancer cells. Additionally, we observed that Cy-Ir-NBD-induced H2S depletion disrupts S-sulfhydration of the glyceraldehyde-3-phosphate dehydrogenase enzyme, impairing glycolysis and ATP production in the cellular milieu. This sequential therapeutic process of Cy-Ir-NBD is governed by the positively charged central iridium ion that ensures mitochondria-mediated apoptosis in cancer cells. Dual-modality SERS and fluorescence imaging validate apoptotic events, highlighting Cy-Ir-NBD as an advanced theranostic molecular entity for activatable PDT. Finally, as a proof of concept, clinical assessment is evaluated with the blood samples of breast cancer patients and healthy volunteers, based on their H2S overexpression capability through SERS and fluorescence, revealing Cy-Ir-NBD to be a promising predictor for PDT activation in advanced cancer phototherapy. 2024 American Chemical Society.
creator: Shamjith S.; Murali V.P.; Joesph M.M.; Fathima T.S.; Chandana R.; Jayarajan R.O.; Maiti K.K.
source: ACS Applied Materials and Interfaces, Vol-16, No. 21, pp. 27114-27126.
publisher: American Chemical Society
date: 2024-01-01
rights: Restricted Access
relation: ISSN: 19448244; PubMed ID: 38747624
format: Online
language: English
type: Article
coverage: Shamjith S., Chemical Sciences & Technology Division (CSTD), Organic Chemistry Section, CSIR-National Institute for Interdisciplinary Science & Technology (CSIR-NIIST), Industrial Estate, Pappanamcode, Kerala, Thiruvananthapuram, 695019, India, Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India; Murali V.P., Chemical Sciences & Technology Division (CSTD), Organic Chemistry Section, CSIR-National Institute for Interdisciplinary Science & Technology (CSIR-NIIST), Industrial Estate, Pappanamcode, Kerala, Thiruvananthapuram, 695019, India; Joesph M.M., Department of Life Sciences, Christ University, Bangalore, 560029, India; Fathima T.S., Chemical Sciences & Technology Division (CSTD), Organic Chemistry Section, CSIR-National Institute for Interdisciplinary Science & Technology (CSIR-NIIST), Industrial Estate, Pappanamcode, Kerala, Thiruvananthapuram, 695019, India; Chandana R., Chemical Sciences & Technology Division (CSTD), Organic Chemistry Section, CSIR-National Institute for Interdisciplinary Science & Technology (CSIR-NIIST), Industrial Estate, Pappanamcode, Kerala, Thiruvananthapuram, 695019, India, Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India; Jayarajan R.O., Chemical Sciences & Technology Division (CSTD), Organic Chemistry Section, CSIR-National Institute for Interdisciplinary Science & Technology (CSIR-NIIST), Industrial Estate, Pappanamcode, Kerala, Thiruvananthapuram, 695019, India, Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India; Maiti K.K., Chemical Sciences & Technology Division (CSTD), Organic Chemistry Section, CSIR-National Institute for Interdisciplinary Science & Technology (CSIR-NIIST), Industrial Estate, Pappanamcode, Kerala, Thiruvananthapuram, 695019, India, Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India

Hydrogen Sulfide: A new warrior in assisting seed germination during adverse environmental conditions
subject: Abiotic stress; Donor; Hydrogen sulfide; NaHS; Rice; Seed germination
description: Seed, being a truly static period of the plant's existence, is exposed to a variety of biotic and abiotic shocks during dormancy that causes many cellular alterations. To improve its germination and vigor, the seed industry employs a variety of invigoration techniques, which are commonly referred to as seed priming procedures. The treatment with an exogenous H2S donor such as sodium hydrosulfide (NaHS) has been proven to improve seed germination. The H2S molecule is not only a key contributor to the signal transduction pathway meant for the sensation of seed exposure to various biotic and abiotic stresses but also contribute toward the alleviation of different abiotic stress. Although it was initially recognized as a toxic molecule, later its identification as a third gaseous transmitter molecule unveiled its potential role in seed germination, root development, and opening of stomata. Its involvement in cross talks with several other molecules, including plant hormones, also guides numerous physiological responses in the seeds, such as regulation of gene expression and enzymatic activities, which contribute to reliving various biological and non-biological stresses. However, the other metabolic pathways that could be implicated in the dynamics of the germination process when H2S is used are unclear. These pathways possibly may contribute to the seed germinability process with improved performance and stress tolerance. The present review briefly addresses the signaling and physiological impact of H2S in improving seed germination on exposure to various stresses. Graphical abstract: [Figure not available: see fulltext.] 2022, The Author(s), under exclusive licence to Springer Nature B.V.
creator: Sharma P.; Meyyazhagan A.; Easwaran M.; Sharma M.M.M.; Mehta S.; Pandey V.; Liu W.-C.; Kamyab H.; Balasubramanian B.; Baskaran R.; Kleme J.J.; Mesbah M.; Chelliapan S.
source: Plant Growth Regulation, Vol-98, No. 3, pp. 401-420.
publisher: Springer Science and Business Media B.V.
date: 2022-01-01
rights: Restricted Access
relation: ISSN: 1676903; CODEN: PGRED
format: Online
language: English
type: Review
coverage: Sharma P., Department of Microbiology, CCS Haryana Agricultural University, Haryana, Hisar, 125004, India; Meyyazhagan A., Department of Life Science, CHRIST (Deemed to Be University), Karnataka, Bengaluru, 560076, India; Easwaran M., Nutritional Improvement of Crops, International Centre for Genetic Engineering and Biotechnology, Aruna Asaf Ali Marg, New Delhi, 110067, India; Sharma M.M.M., Department of Agriculture and Life Industry, Kangwon National University, Gangwon-DO, Chuncheon, 24341, South Korea; Mehta S., School of Agricultural Sciences, K.R. Mangalam University, Haryana, Sohna Rural, 122103, India; Pandey V., School of Comparative Indic Studies & Tribal Science, Kalinga Institute of Social Sciences (KISS-DU), Odisha, Bhubaneswar, 751024, India; Liu W.-C., Department of Animal Science, College of Agriculture, Guangdong Ocean University, Guangdong, Zhanjiang, 524088, China; Kamyab H., Malaysia-Japan International Institute of Technology Universiti Teknologi Malaysia, Jalan Sultan Yahya Petra, Kuala Lumpur, 54100, Malaysia, Department of Biomaterials, Saveetha Dental College and Hospital, Saveetha Institute of Medical and Technical Sciences, Chennai, 600 077, India; Balasubramanian B., Department of Food Science and Biotechnology, College of Life Sciences, Sejong University, Seoul, 05006, South Korea; Baskaran R., Department of Bioinformatics and Medical Engineering, Asia University, Taichung, Taiwan; Kleme J.J., Sustainable Process Integration Laboratory (SPIL), Faculty of Mechanical Engineering, NETME Centre, Brno University of Technology - VUT Brno, Technick2896/2, 616 00, Brno, Czech Republic; Mesbah M., Engineering Department, Razak Faculty of Technology and Informatics, Universiti Teknologi Malaysia, Jln sultan Yahya Petra, Kuala Lumpur, 54100, Malaysia; Chelliapan S., Engineering Department, Razak Faculty of Technology and Informatics, Universiti Teknologi Malaysia, Jln sultan Yahya Petra, Kuala Lumpur, 54100, Malaysia

Hydrogen-enriched dual-fuel CI engine fueled with Mahua biodiesel and hybrid nano-additives: Integrated experiments, explainable machine learning, and multi-objective optimization
subject: Energy efficiency; Explainable artificial intelligence; Hybrid metal-oxide nanoparticles; Hydrogen dual-fuel CI engine; Mahua biodiesel; Multi-objective grey Wolf optimization; SHAP feature attribution
description: Hydrogen-enriched dual-fuel compression-ignition (CI) engines are a potential pathway towards higher efficiency and lower carbon-intensive emissions. Studies conducted so far have considered hydrogen enrichment, biodiesel fuels, nano-additives, and data-driven optimization as separate entities; hence, there is no integration or comprehensive understanding about them, which leads to an efficiency-nitrogen oxides trade-off. This study presents an integrated experimental-machine learning-explainable artificial intelligence-multi-objective optimization framework for a hydrogen-assisted dual-fuel CI engine fueled with a Mahua biodiesel-diesel (B20) blend and hybrid nano-additives (Al2O3TiO2 and CeO2-MWCNT, 50-100ppm). Experimental results indicated that hydrogen enrichment hybridized with nano-additives improves brake thermal efficiency by 8-14% and reduces brake-specific fuel consumption by 10-18%. HC, CO, and smoke emissions are reduced by up to 35%, 32%, and 45%, respectively. There is a moderate increase in NOx by 12-28%. Machine-learning models achieved high predictive accuracy (R2>0.99). The XGBoost exhibited superior generalization. The SHapley Additive exPlanations analysis found that the dominant factors were engine load, the hydrogen energy share, and the concentration of nano-additives. The XGBoost-Multi-Objective Grey Wolf Optimizer (XGBMOGWO) framework created Pareto-optimal solutions showing a strong and interpretable pathway for advancing trade-offs between efficiency and emissions in dual-fuel engines. 2026 Hydrogen Energy Publications LLC. Published by Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.
creator: Bilal, Faris S.; Elumalai, P.V.; Kiran Kavalli; Mishra, Nirmith Kumar; Chan, Choon Kit; Saleel, C Ahamed; Hussain, Fayaz; Khan, Sher Afghan; Keba?, Ali
source: International Journal of Hydrogen Energy;Volume;235;Issue;;Article No.;155037;
publisher: Elsevier Ltd
date: 01-01-2026
rights: Restricted Access; Hardcopy may be available in the library
relation: ISSN: 3603199; CODEN: IJHED
format: online
language: English
type: Article
coverage: Bilal F.S., Department of Mechanical Engineering, Faculty of Engineering, Al Baha University, Al Baha, 65527, Saudi Arabia; Elumalai P.V., Department of Mechanical Engineering, Aditya University, Surampalem, 533437, India; Kiran Kavalli, Department of Mechanical and Automobile Engineering, CHRIST University, Bengaluru, 560074, India; Mishra N.K., Department of Aeronautical Engineering, MLR Institute of Technology, Hyderabad, India; Chan C.K., Department of Mechanical Engineering, INTI International University, Malaysia; Saleel C.A., Department of Mechanical Engineering, College of Engineering, King Khalid University, Abha, 61421, Saudi Arabia, Center for Engineering and Technology Innovations, King Khalid University, Abha, 61421, Saudi Arabia; Hussain F., Department of Biological and Agricultural Engineering, Faculty of Engineering, Universiti Putra Malaysia, Selangor, Malaysia; Khan S.A., Department of Mechanical and Aerospace Engineering, Faculty of Engineering, International Islamic University, Selangor, Kuala Lumpur, 53100, Malaysia; Keba? A., Department of Energy Systems Engineering, Technology Faculty, Mu?la S?tk? Koan University, Mente?e, Mu?la, 48000, Turkey

HydroIoT: An IoT and Edge Computing based Multi-Level Hydroponics System
subject: Edge Computing; Hydroponics; Image Processing; Internet of Things; Precision Farming; Vertical Farming
description: The depleting area of cultivable lands is increasing demands for implementing improved techniques that could use less space and produce more than traditional farming. This situation is common in all the developing and under developed countries. With a motivation to contribute towards providing solution to this growing problem of food scarcity, a Multi-Level Hydroponics System is proposed. The proposed system combines best of all trending technologies like IoT, Edge Computing and Computer Vision and applies it to Hydroponics. A cultivation estimation system based on image processing is implemented and accuracy of the same is tested with actual produce. The crop used for the proposed system is corn as it serves as best fodder for cattle. It was observed that with proposed system up to 95% accuracy in estimating fodder produce was achieved. 2021 IEEE.
creator: Salvi S.; Savitha S.; Sawargaonkar S.; Vishwas B.; Harshitha T.K.; Pramod Jain S.A.
source: CSITSS 2021 - 2021 5th International Conference on Computational Systems and Information Technology for Sustainable Solutions, Proceedings
publisher: Institute of Electrical and Electronics Engineers Inc.
date: 2021-01-01
rights: Restricted Access
relation: ISBN: 978-166540610-9
format: Online
language: English
type: Conference paper
coverage: Salvi S., Nitte Meenakshi Institute of Technology, Department of Information Science and Engineering, Karnataka, Bangalore, India; Savitha S., Christ University, Department of Computer Science Engineering, Karnataka, Bangalore, India; Sawargaonkar S., Vishwakarma Institute of Information Technology, Department of Mechanical Engineering, Maharashtra, Pune, India; Vishwas B., REVA University, Department of Computer Science Engineering, Karnataka, Bangalore, India; Harshitha T.K., Nitte Meenakshi Institute of Technology, Department of Information Science and Engineering, Karnataka, Bangalore, India; Pramod Jain S.A., Nitte Meenakshi Institute of Technology, Department of Information Science and Engineering, Karnataka, Bangalore, India

Hydroponic cultivation of lettuce: evaluating yield and quality across different systems
subject: nutrient film technique; quality; soilless culture; Urban horticulture; vertical farming
description: The increasing demand for lettuce (Lactuca sativa L.) in India, driven by changing dietary habits, health consciousness, and declining arable land, necessitates protected cultivation systems for a sustainable production of high-value vegetables. Limited research has been conducted on optimizing lettuce cultivation systems under protected conditions in India. This study evaluated the performance of three growing systems, soil-based, aggregate hydroponics, and a vertical A-frame nutrient film technique, under controlled greenhouse conditions. Three lettuce cultivars were assessed for growth, yield, and nutritional parameters. The nutrient film technique system achieved the highest leaf fresh weight (96.73 g) and marketable yield. Lettuce grown in the nutrient film technique also exhibited superior nutritional quality, with increased ascorbic acid (7.03 mg 100 g?1) and carotenoid (4.48 g g?1) content. Additionally, the vertical nutrient film technique system optimized space utilization, supporting 26 plants per square meter and significantly increasing the number of marketable leaves compared to soil-based and aggregate hydroponics. These results highlight the potential of vertical nutrient film technique cultivation to enhance lettuce productivity, nutritional quality, and resource efficiency, presenting a promising solution for sustainable urban agriculture and protected cultivation in India. 2025 Taylor & Francis Group, LLC.
creator: Thomas, Tinu; Biradar, M.S.; Chimmad, V.P.; Janagoudar, B.S.
source: International Journal of Vegetable Science;Volume;32;Issue;1;pp.53-70
publisher: Taylor and Francis Ltd.
date: 01-01-2026
rights: Restricted Access; Hardcopy may be available in the library
relation: ISSN: 19315260;
format: online
language: English
type: Article
coverage: Thomas T., Department of Crop Physiology, University of Agricultural Sciences, Karnataka, Dharwad, India, Department of Life Sciences, Christ University, Bangalore, India; Biradar M.S., Department of Horticulture, University of Agricultural Sciences Dharwad, Karnataka, India; Chimmad V.P., Department of Crop Physiology, University of Agricultural Sciences, Karnataka, Dharwad, India; Janagoudar B.S., Department of Crop Physiology, University of Agricultural Sciences, Karnataka, Dharwad, India

Hydrothermally synthesized mesoporous Co3O4 nanorods as effective supercapacitor material
subject: Co3O4, morphology; Energy; Supercapacitors; Surface area
description: Mesoporous Co3O4 nanomaterial in rod-shape morphology has been synthesized via a hydrothermal method, and heat treated at 350 C for 2 h to develop a phase. Phase purity, morphology, specific surface area and chemical composition of as-obtained Co3O4 material were studied using XRD, Raman, TEM, N2-adsoprtion/desorption and XPS techniques. XRD and Raman analyses indicate single phase material formation with nano-structure, and cubic normal spinel-type structure with a cell parameter of 8.123 The spinel particles are of rod-shape morphology and the specific surface area, estimated through BET studies, is obtained as 47 m2/g. Cyclic voltammogram (CV) recorded at different scan rates evidently demonstrate pseudocapacitance nature of the synthesized material. Maximum specific capacitance (CS) is computed and the value is 261 F/g at 0.25 A/g. These materials have shown longer cycle stability at lower KOH concentration and lower current density. Synthesized Co3O4 nanomaterial could be used as electrode material for energy storage applications. 2023 Elsevier B.V.
creator: Kalpana S.; Bhat V.S.; Hegde G.; Niranjana Prabhu T.; Anantharamaiah P.N.
source: Inorganic Chemistry Communications, Vol-154
publisher: Elsevier B.V.
date: 2023-01-01
rights: Restricted Access
relation: ISSN: 13877003; CODEN: ICCOF
format: Online
language: English
type: Article
coverage: Kalpana S., Department of Chemistry, Faculty of Mathematical and Physical Sciences, M. S. Ramaiah University of Applied Sciences, Bangalore, 560058, India; Bhat V.S., Centre for Nano-materials & Displays (CND), B. M. S. College of Enginnering, Bull Temple Road, Bangalore, 560019, India; Hegde G., Centre for Advanced Research and Development (CARD), CHRIST (Deemed to be University), Hosur RD, Bhavani Nagar, S. G. Palya, Bangalore, 560029, India; Niranjana Prabhu T., Department of Chemistry, Faculty of Mathematical and Physical Sciences, M. S. Ramaiah University of Applied Sciences, Bangalore, 560058, India; Anantharamaiah P.N., Department of Chemistry, Faculty of Mathematical and Physical Sciences, M. S. Ramaiah University of Applied Sciences, Bangalore, 560058, India

Hydrous nickel oxyhydroxide thin films on copper foil as robust electrocatalysts for alkaline oxygen evolution
description: Balancing catalytic activity and durability remains a major challenge for nickel-based oxygen evolution reaction (OER) electrodes, especially when supported on earth-abundant metals. Here, we demonstrate how the electrodeposition environment governs the structural and electrochemical evolution of nickel coatings on copper foil toward hydrous NiOOH active layers. Nickel was electrodeposited from sulfate baths at pH 3 and 4 to yield compact (Ni-Cuf-3) and hierarchically nodular (Ni-Cuf-4) films, respectively. Structural and electrochemical analyses reveal that deposition pH dictates the oxidemetal coupling and, consequently, the OER performance. Ni-Cuf-4 exhibited a lower overpotential (434 mV at 50 mA cm?2) and approximately tenfold higher Cdl (2.68 mF cm?2vs. 0.221 mF cm?2), corresponding to a larger density of electrochemically accessible sites. In contrast, Ni-Cuf-3 delivered a higher turnover frequency (TOF ?1 O2 s?1 per Ni site) and superior durability (?60 h at 800 mA cm?2). Impedance spectroscopy highlights distinct interfacial charge transfer characteristics arising from the different film morphology. Importantly, both electrodes achieve reduced nickel loading while suppressing copper dissolution, offering a sustainable pathway to durable, cost-effective OER catalysts. This journal is The Royal Society of Chemistry, 2026
creator: Shetty, Ankith; Mukherjee, Poulami; Higashimine, Koichi; Taniike, Toshiaki; R. S., Vishwanath; Sunajadevi, Kalathiparambil Rajendra Pai
source: Catalysis Science and Technology;Volume;16;Issue;6;pp.2205-2216
publisher: Royal Society of Chemistry
date: 01-01-2026
rights: Restricted Access; Hardcopy may be available in the library
relation: ISSN: 20444753; CODEN: CSTAG
format: online
language: English
type: Article
coverage: Shetty A., Centre for Research in Functional Materials (CRFM), JAIN (Deemed-to-be University), Jain Global Campus, Karnataka, Bengaluru, 562112, India; Mukherjee P., Graduate School of Advanced Science and Technology, Japan Advanced Institute of Science and Technology, 1-1 Asahidai, Ishikawa, Nomi, 923-1292, Japan; Higashimine K., Center for Nano Materials and Technology, Japan Advanced Institute of Science and Technology, 1-1 Asahidai, Ishikawa, Nomi, 923-1292, Japan; Taniike T., Graduate School of Advanced Science and Technology, Japan Advanced Institute of Science and Technology, 1-1 Asahidai, Ishikawa, Nomi, 923-1292, Japan; R. S. V., Centre for Research in Functional Materials (CRFM), JAIN (Deemed-to-be University), Jain Global Campus, Karnataka, Bengaluru, 562112, India; Sunajadevi K.R.P., Department of Chemistry, Christ University, Karnataka, Bengaluru, 560029, India

Hyperchaos in a three-dimensional non-autonomous system
description: This paper extends the weakly nonlinear stability analysis reported by Francis et al. [J. Eng. Math. 139, 5 (2023)] to cover post-convective regimes of the gravity-modulated Rayleigh-Bard convection in a Newtonian liquid, bounded by rigid-free isothermal boundaries. Weakly nonlinear stability analysis is performed by considering second harmonics in the Fourier series expansion of temperature, while the second harmonics in the velocity field is neglected owing to the assumption of small-scale convective motions. The occurrence of hyperchaos within the three-dimensional non-autonomous system is observed, induced by modulation, emerging for varying, random combinations of frequency and amplitude values. This result has not been reported in the literature before, to the best of the authors' knowledge. Bifurcation analysis is carried out for varying combinations of modulation parameters. It is found that gravity modulation, in general, stabilizes the convective system under consideration. 2025 Author(s).
creator: Francis, Roxanne; Narayana, Mahesha; Siddheshwar, P.G.
source: Physics of Fluids;Volume;37;Issue;6;Article No.;64116;
publisher: American Institute of Physics
date: 01-01-2025
rights: Restricted Access; Hardcopy may be available in the library
relation: ISSN: 10706631; CODEN: PHFLE
format: online
language: English
type: Article
coverage: Francis R., Department of Mathematics, The University of the West Indies, Mona Kingston, Jamaica; Narayana M., Department of Mathematics, The University of the West Indies, Mona Kingston, Jamaica; Siddheshwar P.G., Centre for Mathematical Needs, Department of Mathematics, Christ University, Karnataka, Bengaluru, India