True and Fair Financial Reporting: A Tool for Better Corporate Governance
subject: Economics
description: Journal of Financial Crime, Vol-19 (4), pp. 332-342. ISSN-1359-0790
creator: Pallisserry Fincy
publisher: Journal of Financial Crime
date: 2012
language: English

True and fair financial reporting: A tool for better corporate governance
subject: Accounting; Auditing; Auditors liability; Corporate governance; Directors reports; India; Investor protection; Legislation; United Kingdom
description: Purpose - Transparency of financial information promotes corporate growth. The purpose of this paper is to concentrate on the need for strengthening the law governing true and fair corporate accounting. The first part of the paper concentrates on nexus between the importance of transparency in accounting embodied under the provisions of the Companies Act in India and in the UK. Second, the paper focuses on the board of director's duty to prevent corporate fraud through proper financial reporting. Design/methodology/approach - The methodology for this study is analytical. Comparative study of the law governing accounting provisions in India and UK is also looked into. Findings - The law governing financial transparancy envisaged under the Companies Act in India makes it obligatory on the part of the companies to disclose the material information relevant to the investors. However, the directors of the company often show an unreal picture of the financial position of the company, so as to retain the existing shareholders and to attract more investors. This can be avoided if the composition of audit committees in the companies includes a few representatives of shareholders who are competent to asses the true and fair view of the company accounts prepared by the auditors. Research limitations/implications - The focus of this research paper is mainly on the legal regimes and the accounting and auditing provisions of India and the UK. Originality/value - The paper shows that the Companies Act in India should strengthen the accounting provisions and it should mandate the compulsory observance of accounting standards. Emerald Group Publishing Limited.
creator: Pallisserry F.
source: Journal of Financial Crime, Vol-19, No. 4, pp. 332-342.
date: 2012-01-01
rights: Restricted Access
relation: ISSN: 17587239
format: Online
language: English
type: Article
coverage: Pallisserry F., School of Law, Christ University, Bangalore, India

Trust Model for Cloud Using Weighted KNN Classification for Better User Access Control
subject: Access control; Cloud environment and trust value; Nearest neighbor
description: The majority of the time, cloud computing is a service-based technology that provides Internet-based technological services. Cloud computing has had explosive growth since its debut, and it is now integrated into a wide variety of online services. These have the primary benefit of allowing thin clients to access the resources and services. Even while it could appear favorable, there are a lot of potential weak points for various types of assaults and cyber threats. Access control is one of the several protection layers that are available as part of cloud security solutions. In order to improve cloud security, this research introduces a unique access control mechanism. For granting users access to various resources, the suggested approach applies the trust concept. For the purpose of predicting trust, the KNN model was recently proposed, however the current approach for categorizing options is sensitive and unstable, particularly when an unbalanced data scenario occurs. Furthermore, it has been discovered that using the exponent distance as a weighting system improves classification performance and lowers variance. The prediction of the users trust levels using weighted K-means closest neighbors is presented in this research. According to the findings, the suggested approach is more effective in terms of throughput, cost, and delay. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
creator: Rajagopal M.; Ramkumar S.; Gobinath R.; Thimmiraja J.
source: Lecture Notes in Networks and Systems, Vol-673 LNNS, pp. 237-248.
publisher: Springer Science and Business Media Deutschland GmbH
date: 2023-01-01
rights: Restricted Access
relation: ISSN: 23673370; ISBN: 978-981991744-0
format: Online
language: English
type: Conference paper
coverage: Rajagopal M., Lean Operations and Systems, School of Business and Management, CHRIST (Deemed to be University), Bangalore, India; Ramkumar S., Department of Computer Science, School of Sciences, CHRIST (Deemed to be University), Bangalore, India; Gobinath R., Department of Computer Science, School of Sciences, CHRIST (Deemed to be University), Bangalore, India; Thimmiraja J., Department of Information Technology, Dr. Mahalingam College of Engineering and Technology, Tamil Nadu, Pollachi, India

Trusted explainable AI based implementation for detection of neurodegenerative disorders (ND)
subject: Artificial intelligence (AI); Explainable AI (XAI); Neurodegenerative disorders (ND); Shapely additive explanations; Trust
description: The potential of explainable artificial intelligence (XAI) in detection of neurodegenerative disorders (ND) holds great promise in the field of healthcare. These diseases interfere with the daily functioning and independence of a person. The current studies lack in highlighting the aspect of explainability in their predictions and the various algorithms cannot provide any plausible explanations for their predictions making it difficult for medical professionals to place trust in their findings. Thus, the proposed framework aims to bridge this gap by exploring the development of a trustworthy framework for XAI-based ND detection, focusing on key aspects that can significantly impact its effectiveness and acceptance. The framework makes use of Trust-based SHAP (SHapley Additive exPlanations) values in classification. By computing trust values, the framework ensures more reliable predictions and increases interpretability, instilling confidence in clinicians and patients. The results show that with the inclusion of the trust-driven framework, the accuracy of the algorithm increased from 93.33% in the normal circumstances to 98.21%, highlighting the efficacy of the framework as compared to the other works. This shows that a trustworthy framework for XAI-driven ND detection can reshape care by enabling early detection, personalized treatment plans and enhancing decision-making process. Bharati Vidyapeeth's Institute of Computer Applications and Management 2024.
creator: Sharma V.; Midhunchakkaravarthy D.
source: International Journal of Information Technology (Singapore)
publisher: Springer Science and Business Media B.V.
date: 2024-01-01
rights: Restricted Access
relation: ISSN: 25112104
format: Online
language: English
type: Article
coverage: Sharma V., Department of Computer Science and Multimedia, Lincoln University College, Petaling Jaya, Malaysia, Christ University, Bengaluru, India; Midhunchakkaravarthy D., Department of Computer Science and Multimedia, Lincoln University College, Petaling Jaya, Malaysia

TSM: A Cloud Computing Task Scheduling Model
subject: cloud resource; makespan; Min-Min; Task Scheduling; virtualization
description: Cloud offers online-based runtime computing services through virtualized resources, ensuring scalability and efficient resource utilization on demand. Resource allocation in the dynamic cloud environment poses challenges for providers due to fluctuating user demand and resource availability. Cloud service providers must dynamically and economically allocate substantial resources among dispersed users worldwide. Users, in turn, expect reliable and cost-effective computing services, requiring the establishment of Service Level Agreements (SLAs). Resource distribution uncertainty arises in view of the dynamicity of the cloud, where VMs, memory capacity requirement, processing power, and networking are allocated to user applications using virtualization technology. Resource allocation strategies must address issues such as insufficient provisioning, scarcity, competition, resources fragmentation. CPU scheduler plays a crucial role in task completion, by selecting job from queue considering specific requirements. The Task Scheduling Model (TSM) algorithm improves scheduling by considering expected execution time, standard deviation, and resource completion time, aiming to address resource imbalances and task waiting times. The research discusses previous work, presents experimental findings, describes the experimental setup and results, and concludes with future research directions. 2023 IEEE.
creator: Kamalam G.K.; Shah N.H.; Krishnasamy L.; Manjunatha Swamy C.; Pathak L.K.; Vanitha P.
source: Proceedings of International Conference on Contemporary Computing and Informatics, IC3I 2023, pp. 1575-1580.
publisher: Institute of Electrical and Electronics Engineers Inc.
date: 2023-01-01
rights: Restricted Access
relation: ISBN: 979-835030448-0
format: Online
language: English
type: Conference paper
coverage: Kamalam G.K., Kongu Engineering College, Department of Information Technology, Tamil Nadu, India; Shah N.H., College of Computer Science & Information Technology, Department of Computer Science, Jazan University, Jazan, Saudi Arabia; Krishnasamy L., School of Engineering and Technology, Department of CSE, Christ University, Karnataka, Bengaluru, India; Manjunatha Swamy C., School of Engineering and Technology, Department of CSE, Christ University, Karnataka, Bengaluru, India; Pathak L.K., School of Engineering and Technology, Department of CSE, Christ University, Karnataka, Bengaluru, India; Vanitha P., Kongu Engineering College, Department of Information Technology, Tamil Nadu, India

Tumor Infiltration of Microrobot using Magnetic torque and AI Technique
subject: ANFIS; CNN; Disease Prediction; Machine learning
description: Because of their surroundings and lifestyle alternatives, human beings, these days be afflicted by a huge style of illnesses. thus, early contamination prediction will become crucial. on the other hand, primarily based just on signs, docs warfare to make correct forecasts. The most challenging issue is accurately forecasting illnesses, which is why machine learning is essential to accomplish this task. To identify concealed patterns within vast amounts of medical data, disease information is processed using data mining techniques. We evolved a extensive contamination prediction primarily based on the affected person's signs. We rent the device getting to know techniques Convolutional Neural network (CNN) and ANFIS to exactly count on sickness (adaptive community-based totally fuzzy inference machine). For an correct forecast, this trendy illness prediction considers the character's way of life picks and fitness history. ANFIS outperforms CNN's set of rules in phrases of popular infection prediction, with an accuracy price of 96.7%. additionally, CNN consumes extra memory and processing energy than ANFIS because it trains and assessments on facts from the UCI repository. The Anaconda notebook is a suitable tool for implementing Python programming as it contains a range of libraries and header files that enhance the accuracy and precision of the process. 2023 IEEE.
creator: Shalini R.; Mishra L.; Athulya S.; Chimankar A.G.; Kandavalli S.R.; Keshav Kumar K.; Selvan R.S.
source: ViTECoN 2023 - 2nd IEEE International Conference on Vision Towards Emerging Trends in Communication and Networking Technologies, Proceedings
publisher: Institute of Electrical and Electronics Engineers Inc.
date: 2023-01-01
rights: Restricted Access
relation: ISBN: 979-835034798-2
format: Online
language: English
type: Conference paper
coverage: Shalini R., School of Computing Sciences, Vels Institute of Science Technology and Advanced Studies, Department of BCA & IT, Chennai, India; Mishra L., Khwaja Moinuddin Chishti Language University, Department of Electronics and Communication Engineering, Uttar Pradesh, India; Athulya S., Christ Deemed to Be University, Faculty of Engineering, Department of Computer Science and Engineering, Bangalore, India; Chimankar A.G., Chatrapati Shivaji BCA and BCS College, Department of B.Sc. Computer Science, Maharashtra, India; Kandavalli S.R., Sri Padmavati Mahila Visva Vidyalayam, Department of Electronics and Communication Engineering, Tirupati, India; Keshav Kumar K., G. Narayanamma Institute of Technology and Science, Department of Humanities and Mathematics, Hyderabad, India; Selvan R.S., Annamacharya Institute of Technology & Sciences, Department of Electronics and Communication Engineering, Tirupati, India

TumorInsight: GAN-Augmented Deep Learning for Precise Brain Tumor Detection
subject: CLAHE; DCGAN; Deep Learning; Gamma Correction; MRI
description: In addition to the shortage in data as well as the low quality of MRI images, one of the most difficult tasks in contemporary medical imaging is the diagnosis of tumors in brain. This work presents a new approach to enhance diagnostic accuracy using sophisticated preprocessing techniques. Combining BRATS 2023 and Cheng et al. datasets to apply cutting-edge deep learning preprocessing methods with Generative Adversarial Networks (GANs), specifically DCGAN, Contrast Limited Adaptive Histogram Equalization (CLAHE), and gamma correction, it aims to significantly improve the quality of MRI images. As a result, updated data should be generated with greater precision and detail, making it possible to identify tumor-affected areas with greater accuracy. Thorough assessment, demonstrated by metrics such as Accuracy (0.98), Specificity (0.99), Sensitivity (0.99), AUC (0.65), Dice Coefficient (0.67), and Precision (0.71), highlights possible advancements in brain tumor identification and treatment, thereby highlighting the effectiveness of the suggested approach. 2024 IEEE.
creator: Shekhar R.; Rana M.
source: 5th International Conference on Circuits, Control, Communication and Computing, I4C 2024, pp. 100-105.
publisher: Institute of Electrical and Electronics Engineers Inc.
date: 2024-01-01
rights: Restricted Access
relation: ISBN: 979-833152853-9
format: Online
language: English
type: Conference paper
coverage: Shekhar R., School of Computing, Dit University, Dehradun, India; Rana M., School of Sciences, Christ University, Delhi NCR, India

Tunable Capacitive Behavior in Metallopolymer-based Electrochromic Thin Film Supercapacitors
subject: capacitance; coordination polymers; electrochromic; metal-organic; supercapacitors
description: Volumetric capacitance is a more critical performance parameter for rechargeable power supply in lightweight and microelectronic devices as compared to gravimetric capacitance in larger devices. To this end, we report three electrochromic metallopolymer-based electrode materials containing Fe2+as the coordinating metal ion with high volumetric capacitance and energy densities in a symmetric two-electrode supercapacitor setup. These metallopolymers exhibited volumetric capacitance up to 866.2 F cm-3at a constant current density of 0.25 A g-1. The volumetric capacitance (poly-Fe-L2: 544.6 F cm-3> poly-Fe-L1: 313.8 F cm-3> poly-Fe-L3: 230.8 F cm-3at 1 A g-1) and energy densities (poly-Fe-L2: 75.5 mWh cm-3> poly-Fe-L1: 43.6 mWh cm-3> poly-Fe-L3: 31.2 mWh cm-3) followed the order of the electrical conductivity of the metallopolymers and are among the best values reported for metal-organic systems. The variation in the ligand structure was key toward achieving different electrical conductivities in these metallopolymers with excellent operational stability under continuous cycling. High volumetric capacitances and energy densities combined with tunable electro-optical properties and electrochromic behavior of these metallopolymers are expected to contribute to high performance and compact microenergy storage systems. We envision that the integration of smart functionalities with thin film supercapacitors would warrant the surge of miniaturized on-chip microsupercapacitors integrated in-plane with other microelectronic devices for wearable applications. 2022 American Chemical Society. All rights reserved.
creator: Mukkatt I.; Mohanachandran A.P.; Nirmala A.; Patra D.; Sukumaran P.A.; Pillai R.S.; Rakhi R.B.; Shankar S.; Ajayaghosh A.
source: ACS Applied Materials and Interfaces, Vol-14, No. 28, pp. 31900-31910.
publisher: American Chemical Society
date: 2022-01-01
rights: Restricted Access
relation: ISSN: 19448244; PubMed ID: 35791964
format: Online
language: English
type: Article
coverage: Mukkatt I., Photosciences and Photonics Section, Chemical Sciences and Technology Division, CSIR - National Institute for Interdisciplinary Sciences and Technology (CSIR - NIIST), Thiruvananthapuram, 695019, India, Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India; Mohanachandran A.P., Material Sciences and Technology Division, CSIR - National Institute for Interdisciplinary Sciences and Technology (CSIR - NIIST), Thiruvananthapuram, 695019, India, Department of Physics, University of Kerala, Kerala, Thiruvananthapuram, 695581, India; Nirmala A., Photosciences and Photonics Section, Chemical Sciences and Technology Division, CSIR - National Institute for Interdisciplinary Sciences and Technology (CSIR - NIIST), Thiruvananthapuram, 695019, India, Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India; Patra D., Photosciences and Photonics Section, Chemical Sciences and Technology Division, CSIR - National Institute for Interdisciplinary Sciences and Technology (CSIR - NIIST), Thiruvananthapuram, 695019, India, Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India; Sukumaran P.A., Photosciences and Photonics Section, Chemical Sciences and Technology Division, CSIR - National Institute for Interdisciplinary Sciences and Technology (CSIR - NIIST), Thiruvananthapuram, 695019, India, Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India; Pillai R.S., Department of Chemistry, Christ University, Karnataka, Bangalore, 560029, India; Rakhi R.B., Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India, Material Sciences and Technology Division, CSIR - National Institute for Interdisciplinary Sciences and Technology (CSIR - NIIST), Thiruvananthapuram, 695019, India; Shankar S., Photosciences and Photonics Section, Chemical Sciences and Technology Division, CSIR - National Institute for Interdisciplinary Sciences and Technology (CSIR - NIIST), Thiruv…

Tunable direct band gap photoluminescent organic semiconducting nanoparticles from lignite
description: Fluorescent organic semiconducting dots (OSDs) with tunable particle size and surface functionality are synthesized from lignite by chemical oxidation method followed by ultra-sonication techniques and dialysis. The defects and oxygen functionalities play a vital role in the photoluminescent property of the synthesized nanoparticles along with quantum confinement effect. These nanomaterials are suitable for imaging and chemical sensing applications as there is no photobleaching and quenching even after a continuous UV exposure of 24 hours and storage of 2 years. The excellent excitation dependent luminescence of the synthesized carbon dots can be utilized for making a low-cost carbon-based sensor for Cu2+ metal ions sensing. The OSDs show good ratiometric fluorescent sensing and can be used as a reliable probe for the detection of Cu2+ ions. They exhibit excellent detection limit of copper ion in acidic solution to a very low concentration of 0.0089 nM. The fluorescent nanodots synthesized from such an abundant and cost-effective precursor exhibiting high copper ion sensitivity is being reported for the first time. 2017 The Author(s).
creator: Manoj B.; Raj A.M.; Chirayil G.T.
source: Scientific Reports, Vol-7, No. 1
publisher: Nature Publishing Group
date: 2017-01-01
rights: All Open Access; Gold Open Access; Green Open Access
relation: ISSN: 20452322; PubMed ID: 29269774
format: Online
language: English
type: Article
coverage: Manoj B., Department of Physics, Christ University, Bengaluru, Karnataka, 560029, India; Raj A.M., Department of Physics, Christ University, Bengaluru, Karnataka, 560029, India; Chirayil G.T., Department of Physics, Christ University, Bengaluru, Karnataka, 560029, India

Tunable graphene nanopatch antenna design for on-chip integrated terahertz detector arrays with potential application in cancer imaging
subject: chip-integrated medical device; nanostructure modification; narrow-width effect; responsivity; terahertz antennas; terahertz detectors
description: Aim: Further to our reports on chip-integrable uncooled terahertz microbolometer arrays, compatible with medium-scale semiconductor device fabrication processes, the possibility of the development of chip-integrable medical device is proposed here. Methods: The concept of graphene-based nanopatch antennas with design optimization by the finite element method (FEM) is explored. The high-frequency structure simulator (HFSS) utilized fine FEM solver for analyzing empirical mode decomposition preprocessing and for modeling and simulating graphene antennas. Results: Graphene nanopatch antennas exhibited tunable features with varying patch dimensions and dependence on substrate material permittivity. Conclusion: This work implements reconfigurable graphene nanopatch antenna compatible with terahertz microbolometer arrays. This design concept further develops on-chip medical devices for possible screening of cancer cell with terahertz image processing. 2021 Future Medicine Ltd.
creator: Samanta D.; Karthikeyan M.P.; Banerjee A.; Inokawa H.
source: Nanomedicine, Vol-16, No. 12, pp. 1035-1047.
publisher: Future Medicine Ltd.
date: 2021-01-01
rights: Restricted Access
relation: ISSN: 17435889; PubMed ID: 33970689
format: Online
language: English
type: Article
coverage: Samanta D., Department of Computer Science, Christ (Deemed to Be University), Bangalore, India; Karthikeyan M.P., Department of Computer Science, Ppg College of Arts and Science, Coimbatore, India; Banerjee A., Microelectronic Technologies and Devices, Department of Electrical and Computer Engineering, National University of Singapore, Singapore, Singapore; Inokawa H., Graduate School of Science and Technology, Shizuoka University, Hamamatsu, Japan, Graduate School of Integrated Science and Technology, Shizuoka University, Hamamatsu, Japan, Research Institute of Electronics, Shizuoka University, Hamamatsu, Japan

Tuning of the surface structure of silver nanoparticles using Gum arabic for enhanced electrocatalytic oxidation of morin
subject: Carbon paste electrode; Electro-oxidation; Gum arabic; Morin; Silver nanoparticles
description: Gum arabic stabilized silver nanoparticles have been used to modify carbon paste electrodes (AgNPs-GA/CPE) for the electrochemical sensing of morin, a flavanoid. The synthesized nanoparticles, before and after modification of electrodes were characterized by UVvisible spectroscopy, X-ray diffraction (XRD), fourier transformation infrared (FTIR) spectroscopy, transmission electron microscopy (TEM), dynamic light scattering (DLS), zeta potential measurements, and thermogravimetric analysis (TGA). The uniform-sized spherical silver nanoparticles have particle sizes less than 10 nm. AgNPs-GA/CPE electrode has shown excellent electrocatalytic activity towards the oxidation of morin at a potential of 0.14 V. The factors influencing the electrochemical determination of morin such as the effect of pH, the effect of scan rate, and the effect of concentration were studied in detail. The linear dynamic range was found to be 0.65 nM to 7.0 nM with a detection limit of 0.216 nM. The developed sensor has been successfully applied for the determination of morin in mulberry leaves and almonds. 2021 The Author(s)
creator: Agnihotri A.S.; M N.; Rison S.; B A.K.; Varghese A.
source: Applied Surface Science Advances, Vol-6
publisher: Elsevier B.V.
date: 2021-01-01
rights: All Open Access; Gold Open Access
relation: ISSN: 26665239
format: Online
language: English
type: Article
coverage: Agnihotri A.S., Department of Chemistry, CHRIST (Deemed to be University), Bengaluru, 560 029, India; M N., Department of Chemistry, CHRIST (Deemed to be University), Bengaluru, 560 029, India; Rison S., Department of Chemistry, CHRIST (Deemed to be University), Bengaluru, 560 029, India, Christ Academy Institute for Advanced Studies, Christ Nagar, Bangalore, 560083, India; B A.K., Department of Chemistry, CHRIST (Deemed to be University), Bengaluru, 560 029, India; Varghese A., Department of Chemistry, CHRIST (Deemed to be University), Bengaluru, 560 029, India

Tuning the electronic dimensionality and bandgap in Cs2AgBiX6 (X = Br, Cl) for photovoltaic applications: a DFT-1/2 study of cation disorder
description: Nontoxic, stable, and experimentally realized lead-free halide double perovskites, Cs2AgBiX6 (X = Br, Cl), attracted much attention for solar cell applications. However, their reduced electronic dimensionality and indirect (wide) bandgap, limiting solar energy absorption efficiency, are not mostly suitable. To address such issues, we employ the computationally efficient DFT-1/2 + SOC method to study the electronic structure of cation-ordered and cation-disordered materials comparatively. Our study explores the impact of cation disorder in tuning the electronic dimensionality, demonstrating how the disorder effect reduces bandgaps, increases solar energy absorption, enhances band dispersion, and decreases carrier effective masses for better photovoltaic performance. We observe an evolution of the electronic dimensionality in the disordered systems, influencing the carrier effective masses and absorption properties. Fractional (and non-integer) electronic dimensionality appears to be an essential concept in understanding the optoelectronic properties. The direct bandgap, high absorption in the desired energy range, and mostly lower effective masses of the disordered systems make them suitable for solar cell applications. 2024 The Royal Society of Chemistry.
creator: Vadagavi V.R.; Jafri R.I.; Menon K.S.R.; Mandal S.
source: Physical Chemistry Chemical Physics, Vol-26, No. 47, pp. 29595-29603.
publisher: Royal Society of Chemistry
date: 2024-01-01
rights: Restricted Access
relation: ISSN: 14639076; PubMed ID: 39588679; CODEN: PPCPF
format: Online
language: English
type: Article
coverage: Vadagavi V.R., Department of Physics and Electronics, CHRIST (Deemed to be University), Hosur Road, Bengaluru, 560029, India; Jafri R.I., Department of Physics and Electronics, CHRIST (Deemed to be University), Hosur Road, Bengaluru, 560029, India; Menon K.S.R., Surface Physics and Material Science Division, Saha Institute of Nuclear Physics, HBNI, 1/AF Bidhannagar, Kolkata, 700064, India; Mandal S., Department of Physics, Sabang Sajanikanta Mahavidyalaya, Lutunia, West Bengal, 721166, India

Tuning the output of the higher plants Circadian Clock
subject: Arabidopsis; circadian clock; molecular mechanism; plant rhtthm
description: The circadian clock is an ascribed regulator found in the cells of creatures, that keeps biological and behavioral processes in stnc with dailt environmental changes throughout the 24-hour ctcles. When the circadian clock in humans malfunctions or is misaligned with environmental signals, the timing of the sleep-wake ctcle is altered and several circadian rhtthm sleep disorders result. Due to the Earth's rotation on its axis, predictable environmental changes are anticipated bt complex processes. The combined term for these ststems is the circadian clock. The circadian rhtthm regulates photostnthesis and photoperiodism, making it the "primart controller of plant life." The circadian clock is made up of post-translational alterations to core oscillators, epigenetic tweaks to DNA and histones, and auto regulatort feedback loops in transcription. In addition, the circadian clock is cell-autonomous and regulates the circadian rhtthms of distinct organs. Biochemical elements such as photostnthetic products, mineral nutrients, calcium ions, and hormones are used bt the core oscillators to communicate with one another. Arabidopsis is utilized to identift clock-related genes that govern plant growth, germination, pollination, flowering, abiotic and biotic stress responses, and more. The biological ctcles of all species, notablt humans, are undoubtedlt impacted bt other elements, including high altitude and changing ecoststems, in addition to the ones alreadt stated. Although it hasn't tet published ant experimental or scientific evidence to support them, the implication that living things have lives does appear inescapable. Hence, the present studt elaborates on the higher plants related to the circadian clock. The Author(s).
creator: Chaudhary A.; Pappuswamy M.; Chakma A.; Ramyashree C.S.; Kruthika P.; Subash K.J.; Deshpande M.K.; Morris C.C.; Kadanthottu Sebastian J.
source: Plant Science Today, Vol-10, pp. 118-125.
publisher: Horizon e-Publishing Group
date: 2023-01-01
rights: All Open Access; Gold Open Access; Green Open Access
relation: ISSN: 23481900; LS; 2023-2024; Vol-1; 0670-0677
format: Online
language: English
type: Review
coverage: Chaudhary A., Department of Life Sciences, Christ (Deemed to be Universitt), Bangalore, 560029, India; Pappuswamy M., Department of Life Sciences, Christ (Deemed to be Universitt), Bangalore, 560029, India; Chakma A., Department of Life Sciences, Christ (Deemed to be Universitt), Bangalore, 560029, India; Ramyashree C.S., Department of Life Sciences, Christ (Deemed to be Universitt), Bangalore, 560029, India; Kruthika P., Department of Life Sciences, Christ (Deemed to be Universitt), Bangalore, 560029, India; Subash K.J., Department of Life Sciences, Christ (Deemed to be Universitt), Bangalore, 560029, India; Deshpande M.K., Department of Life Sciences, Christ (Deemed to be Universitt), Bangalore, 560029, India; Morris C.C., Department of Life Sciences, Christ (Deemed to be Universitt), Bangalore, 560029, India; Kadanthottu Sebastian J., Department of Life Sciences, Christ (Deemed to be Universitt), Bangalore, 560029, India

Tuning variegated characteristics of NiO thin films via 50keV nitrogen ion beam irradiation
description: In this study, a systematic analysis of the changes brought about by low-energy ion beam irradiation in NiO thin films has been carried out. NiO thin films, deposited on glass substrates by RF magnetron sputtering method have been irradiated with 50keV Nitrogen ions (N+) at varied ion fluence values. With N+ irradiation, the intensity of diffraction peak corresponding to (440) decreases up to ion fluence of 1 1016 ion/cm2 due to the irradiation-induced lattice damage. Furthermore, at the highest fluence (5 1016 ions/cm2), the dominancy of (400) is lost and the crystal structure is reoriented to (440) alignment. The low energy ion irradiation has caused a mitigation in thin film transmittance by 25% compared to unirradiated sample. A decrease in the 1LO mode observed from Raman spectroscopy accounts for the formation of Ni vacancy defects at the highest fluence. Ion beam irradiation is seen to tune the material bandgap. The observed reduction in bandgap with an increase in ion fluence can be correlated to the formation of shallow levels near the conduction band of the host material with ion fluence. Bigger grains of pristine NiO thin film are broken into smaller fragments at fluences 5 1015 and 1 1016 ions/cm2. AFM analysis revealed the smoothening of thin film surfaces due to the atomic diffusion arising from ion beam irradiation. The correlated results from structural and morphological analysis support the deposition of subsequent amounts of energy to the lattice and the consequent modifications in the thin film properties. NiO films can thus be tailored with different ion fluences, making them suitable for optical as well as energy storage applications. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.
creator: Jose L.M.; Siva Kumar V.V.; Vayalil S.K.; Sulania I.; Subramaniam R.T.; Anila E.I.; Aravind A.
source: Journal of Materials Science: Materials in Electronics, Vol-35, No. 34
publisher: Springer
date: 2024-01-01
rights: Restricted Access
relation: ISSN: 9574522
format: Online
language: English
type: Article
coverage: Jose L.M., Department of Physics, Centre for Advanced Functional Materials, Bishop Moore College (Affiliated to University of Kerala), Kerala, Mavelikara, 690110, India; Siva Kumar V.V., Material Science Division, Inter-University Accelerator Centre, New Delhi, India; Vayalil S.K., Deutsches Elektronen-Synchrotron DESY, Notkestr. 85, Hamburg, 22607, Germany, Applied Science Cluster, UPES, Energy Acres, Bidholi Campus, Dehradun, 248007, India; Sulania I., Material Science Division, Inter-University Accelerator Centre, New Delhi, India; Subramaniam R.T., Department of Physics, Faculty of Science, Universiti Malaya, Kuala Lumpur, 50603, Malaysia; Anila E.I., Department of Physics and Electronics, Christ (Deemed to Be University), Bangalore, 560029, India; Aravind A., Department of Physics, Centre for Advanced Functional Materials, Bishop Moore College (Affiliated to University of Kerala), Kerala, Mavelikara, 690110, India

Turbulent Flow in Forced Convection Heat Transfer-Numerical Validation
subject: Correlation; Forced Convection; Heat transfer; Numerical validation; Wind tunnel
description: Forced convective heat transfer of airflow through circular pipe with constant heat input and different free stream velocities is numerically validated. The significance of the present work is that the suction flow has been employed in the forced convection set up domain kept in the wind tunnel. From first law of thermodynamics and applying the energy balance equation, experimental heat transfer coefficient is determined. Further correlations are used to validate the experimental results. Although correlations provide reasonable estimates from the point of feasibility and accuracy, computational methods are used to estimate the convective heat transfer coefficient. Hence in this paper experimental, theoretical and computational analysis is carried out. The results reveal that the numerical validation is an effective tool from the point of feasibility and accuracy to determine the convective heat transfer coefficient. 2022. MechAero Foundation for Technical Research & Education Excellence.
creator: Santhosh N.; Harish H.V.; Sunil G.S.; Manjunath N.; Manjunath K.; Gowda A.C.; Huddar V.B.
source: International Journal of Vehicle Structures and Systems, Vol-14, No. 1, pp. 18-21.
publisher: MechAero Found. for Techn. Res. and Educ. Excellence
date: 2022-01-01
rights: Restricted Access
relation: ISSN: 9753060
format: Online
language: English
type: Article
coverage: Santhosh N., Dept. of Mech. Engg, MVJ College of Engg, Karnataka, Bangalore, India; Harish H.V., Dept. of Mech. Engg, Debre Markos University, Ethiopia; Sunil G.S., Mercedes Benz Research and Development India, Karnataka, Bangalore, India; Manjunath N., Dept. of Sci. and Humanities Engg, School of Engg. and Tech, CHRIST (Deemed to be University), Karnataka, India; Manjunath K., Dept. of Mech. Engg, Govt. Engg. College, Karnataka, Hassan, India; Gowda A.C., Dept. of PG Studies, Visvesvaraya Tech. Univ, Chickaballapura, Muddenahalli, India; Huddar V.B., Dept. of Mech. Engg, MVJ College of Engg, Karnataka, Bangalore, India

Tweaking the electrocatalytic ability of Cu-MOF by the inclusion of PTA: a selective electrochemical sensor for resorcinol
description: Resorcinol (RL) is a phenolic compound that is extensively utilized in the industrial sector, mostly for skin care applications as an antiseptic and disinfectant. However, this chemical has the potential to be very hazardous to people and the environment due to its pernicious nature in the environment owing to its high degree of toxicity and weak degradation capacity. Finding novel analytical techniques to monitor RL is therefore crucial. A facile and superior electrochemical fabrication route was procured to develop the composite of Cu-BTC-MOF/PTA/CFP for the sensitive detection of resorcinol (RL). The modified Cu-BTC-MOF/PTA/CFP (copper benzene-1,3,5-tricarboxylate-poly-3-thiophene acetic acid) electrode displayed improved electron transport features as well as excellent electrocatalytic performance. The developed electrode was characterized using physicochemical and electrochemical techniques. The enhanced electrochemical activity of the Cu-BTC-MOF/PTA/CFP electrode compared to the individual MOF and polymer electrode was examined using electrochemical characterization, which revealed a 10-fold increase in the current response for Cu-BTC-MOF/PTA/CFP (0.004 A) compared to the bare electrode. The cyclic voltammetric analysis of the Cu-BTC-MOF/PTA/CFP electrode in the presence of 120 nM analyte gave an oxidation peak at 0.62 V and a 5.4-fold increase in the current peak compared to the bare CFP electrode suggesting a higher sensitivity in sensing the analyte. The limit of detection for RL under optimal conditions was calculated to be 8 nM with a broad linear range from 0.025 ?M to 350 ?M. In addition, the Cu-MOF/PTAA/CFP electrode was scrutinized for its stability, reproducibility, and selectivity. Real sample analysis was carried out to validate the analytical applications. 2024 RSC.
creator: Jose S.; Ghosh M.; Varghese A.
source: Materials Advances, Vol-5, No. 9, pp. 3812-3823.
publisher: Royal Society of Chemistry
date: 2024-01-01
rights: All Open Access; Gold Open Access
relation: ISSN: 26335409
format: Online
language: English
type: Article
coverage: Jose S., Department of Chemistry, CHRIST (Deemed to Be University), Bengaluru, 560029, India; Ghosh M., Department of Chemistry, Ashoka University, Haryana, 131029, India; Varghese A., Department of Chemistry, CHRIST (Deemed to Be University), Bengaluru, 560029, India

Twin deficit hypothesis: Some recent evidence from India
subject: ARDL; Autoregressive distributed lag; Budget deficit; Cointegration; India; Trade deficit; Twin deficits
description: The purpose of this study is to examine the relationship between budget deficit and trade deficit commonly known as 'twin deficits hypotheses' in Indian economy. We used time series data for the period of 1970 to 2013. The empirical results of this study follow the autoregressive distributed lag (ARDL) cointegration technique for long run and short run estimates and error correction mechanism (ECM). In this study, we check the hypotheses that trade deficit is the determinant of budget deficit with its current values or the lag values. The results of the ARDL model confirm that there is the positive and significant relationship between trade deficit and budget deficit. So twin deficits hypothesis is valid for India. The ARDL results of the short run confirm the hypothesis that trade deficit can determine the budget deficit in the case of India. The results of the long run estimates are also significant. The error correction specification is used to find evidence of long-run causality running from budget deficit to trade deficit and vice versa. The empirical results suggest that trade deficit can determine the budget deficit in case of India. 2016 Inderscience Enterprises Ltd.
creator: Santhosh Kumar P.K.
source: Global Business and Economics Review, Vol-18, No. 45750, pp. 487-495.
publisher: Inderscience Publishers
date: 2016-01-01
rights: Restricted Access
relation: ISSN: 10974954
format: Online
language: English
type: Article
coverage: Santhosh Kumar P.K., Department of Economics, Christ University, Bangalore, 560076, India

Twin deficit hypothesis: Some recent evidence from India /
subject: Economics
description: Global Business And Economics Review, Vol.18, Issue 3/4, pp.487 - 495, ISSN: 1097-4954.
creator: Kumar, P. K .Santhosh.
source: https://www.inderscience.com/info/inarticle.php?artid=76283
publisher: Inderscience Publsihers
date: 2016-02-15
language: English
type: Journal Article

Twins in diversity: Understanding circumstellar disc evolution in the twin clusters of W5 complex
subject: accretion; Hertzsprung-Russell and colour-magnitude diagrams; protoplanetary discs; stars: low-mass; stars: pre-main-sequence; techniques: photometric
description: Young star-forming regions in massive environments are ideal test beds to study the influence of surroundings on the evolution of discs around low-mass stars. We explore two distant young clusters, IC 1848-East and West located in the massive W5 complex. These clusters are unique due to their similar (distance, age and extinction) yet distinct (stellar density and far-ultraviolet radiation fields) physical properties. We use deep multiband photometry in optical, near-infrared and mid-infrared wavelengths complete down to the substellar limit in at least five bands. We trace the spectral energy distribution of the sources to identify the young pre-main sequence members in the region and derive their physical parameters. The disc fraction for the East and West clusters down to 0.1?M was found to be 2 per?cent (N = 184, N = 492) and 1 per?cent (N = 173, N = 814), respectively. While no spatial variation in the disc fraction is observed, these values are lower than those in other nearby young clusters. Investigating the cause of this decrease, we find a correlation with the intense feedback from massive stars throughout the cluster area. We also identified the disc sources undergoing accretion and observed the mass accretion rates to exhibit a positive linear relationship with the stellar host mass and an inverse relationship with stellar age. Our findings suggest that the environment significantly influences the dissipation of discs in both clusters. These distant clusters, characterized by their unique attributes, can serve as templates for future studies in outer galaxy regions, offering insights into the influence of feedback mechanisms on star and planetary formation. 2024 The Author(s). Published by Oxford University Press on behalf of Royal Astronomical Society.
creator: Damian B.; Jose J.; Das S.R.; Gupta S.; Vaikundaraman V.; Ojha D.K.; Kartha S.S.; Panwar N.; Eswaraiah C.
source: Monthly Notices of the Royal Astronomical Society, Vol-535, No. 2, pp. 1321-1337.
publisher: Oxford University Press
date: 2024-01-01
rights: All Open Access; Gold Open Access
relation: ISSN: 358711; CODEN: MNRAA
format: Online
language: English
type: Article
coverage: Damian B., SUPA, School of Physics & Astronomy, University of St Andrews, North Haugh, St Andrews, KY16 9SS, United Kingdom, Department of Physics and Electronics, CHRIST (Deemed to Be University), Hosur Road, Bengaluru, 560029, India; Jose J., Department of Physics, Indian Institute of Science Education and Research (IISER) Tirupati, Yerpedu, Andhra Pradesh, Tirupati, 517619, India; Das S.R., Department of Physics, Indian Institute of Science Education and Research (IISER) Tirupati, Yerpedu, Andhra Pradesh, Tirupati, 517619, India, Departamento de Astronom, Universidad de Chile, Las Condes, Santiago, 7591245, Chile; Gupta S., Department of Physics, Indian Institute of Science Education and Research (IISER) Tirupati, Yerpedu, Andhra Pradesh, Tirupati, 517619, India; Vaikundaraman V., Department of Physics, Indian Institute of Science Education and Research (IISER) Tirupati, Yerpedu, Andhra Pradesh, Tirupati, 517619, India, Max Planck Institute for Solar System Research, Justus-von-Liebig Weg 3, Gtingen, 37077, Germany; Ojha D.K., Department of Astronomy and Astrophysics, Tata Institute of Fundamental Research, Mumbai, 400005, India; Kartha S.S., Department of Physics and Electronics, CHRIST (Deemed to Be University), Hosur Road, Bengaluru, 560029, India; Panwar N., Aryabhatta Research Institute of Observational Sciences (ARIES), Manora Peak, Nainital, 263001, India; Eswaraiah C., Department of Physics, Indian Institute of Science Education and Research (IISER) Tirupati, Yerpedu, Andhra Pradesh, Tirupati, 517619, India

Twitter data analysis using hadoop ecosystems and apache zeppelin
subject: Flume; Hadoop; HDFS; JSON; Pig; Tweets; Twitter; Zeppelin
description: The day-to-day life of the people doesn't depend only on what they think, but it is affected and influenced by what others think. The advertisements and campaigns of the favourite celebrities and mesmerizing personalities influence the way people think and see the world. People get the news and information at lightning speed than ever before. The growth of textual data on the internet is very fast. People express themselves in various ways on the web every minute. They make use of various platforms to share their views and opinions. A huge amount of data is being generated at every moment on this process. Being one of the most important and well-known social media of the present time, millions of tweets are posted on Twitter every day. These tweets are a source of very important information and it can be made use for business, small industries, creating government policies, and various studies can be performed by using it. This paper focuses on the location from where the tweets are posted and the language in which the tweets are written. These details can be effectively analysed by using Hadoop. Hadoop is a tool that is used to analyze distributed big data, streaming data, timestamp data and text data. With the help of Apache Flume, the tweets can be collected from Twitter and then sink in the HDFS (Hadoop Distributed File System). These raw data then analyzed using Apache Pig and the information available can be made use for social and commercial purposes. The result will be visualized using Apache Zeppelin. Copyright 2019 Institute of Advanced Engineering and Science. All rights reserved.
creator: Wilson S.; Sivakumar R.
source: Indonesian Journal of Electrical Engineering and Computer Science, Vol-16, No. 3, pp. 1490-1498.
publisher: Institute of Advanced Engineering and Science
date: 2019-01-01
rights: All Open Access; Hybrid Gold Open Access
relation: ISSN: 25024752
format: Online
language: English
type: Article
coverage: Wilson S., Department of Computer Science, Christ (Deemed to be University, India; Sivakumar R., Department of Computer Science, Christ (Deemed to be University, India