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PCR and Bio-signature for data confidentiality and integrity in mobile cloud computing
Cloud computing technology got relevance as computing paradigm, which delivers massively scalable computing technologies based on the Internet for the organizations. Mobile Cloud Computing (MCC) allows users more possibilities to access services conveniently. But data security and privacy issues still act as barriers for adoption to cloud technology when dealing with confidential data. Encryption techniques play a significant role in ensuring data security in the Cloud. Various data encryption techniques have been evolved till the date of which DNA Computing techniques got wider acceptance due to biological complexity and computational properties of DNA. These features can be exploited to solve data security issues in MCC. This paper highlights the security issues in the MCC and proposes biocomputing solution approaches to address data security. A methodology is proposed based on the principle concepts of polymerase chain reaction and primer generation for ensuring data confidentiality and integrity. The security analysis of the proposed cryptosystem is evaluated by theoretical analysis, complexity and probability analysis. Formal analysis of the proposed protocol is done using Scyther and all the modeled claims are validated and positive results are obtained. 2018 The Authors -
Segregating direct and indirect dimensions in ecosystem services valuation: The case of a coastal wetland ecosystem of south india
This paper provides insights into the multiple (direct and indirect) benefits of Kuttanad coastal wetland ecosystem in Kerala. Total annual direct ecosystem services generated from the wetlands are INR 8.45 billion or USD 0.11 billion per annum at 2020 prices. The estimates of the case study indicate that the annual value of indirect ecosystem services is thrice of direct provisioning services (Rs 22.52 billion or USD 0.31 billion per annum at 2020 prices). The valuation study would improve the knowledge and awareness of economic importance of wetland ecosystems among the various stakeholders including the policy makers of the society and their sustainable management to benefit the society. 2021 Ecological Society of India. All rights reserved. -
Design and Development of Teaching and Learning Tool Using Sign Language Translator to Enhance the Learning Skills for Students With Hearing and Verbal Impairment
This research paper presents a system designed for the students with verbal and hearing impairments by enabling realtime Sign-to-Text and Text-to-Sign Language conversion, with a specific focus on the Indian Sign Language (ISL). The proposed study aligns to the United Nations Sustainable Development Goal (SDG) of Quality Education. The system leverages cutting-edge technologies, MediaPipe for holistic key point extraction encompassing hand and facial movements, and Long Short-Term Memory (LSTM) architecture powered by TensorFlow and Keras for accurate sign language interpretation. This comprehensive approach ensures nuanced aspects of sign language, such as facial expressions and hand movements, are faithfully represented. On the receiving end, the system excels at Text-to-Sign Language conversion, allowing non-sign language users to interact naturally with sign language users through textual input transformed into sign language animations and Sign-to-Text conversion where the information from the sign language users is converted to text which ensures smooth communication. A user-friendly web application, developed using HTML, CSS, and JavaScript, enhances accessibility and intuitive usage for realtime communication. This research represents a significant advancement in assistive technology, promoting inclusivity and communication accessibility. It underlines the transformative potential of innovation infostering a more connected and inclusive world for all, regardless of their hearing abilities 2024 IEEE. -
Artificial Intelligence and Machine Learning Combined Security Enhancement Using ENIGMA
Enigma is a relatively new and emerging field that has the potential to bring significant benefits to the way contracts are executed and managed. The integration of Artificial Intelligence (AI) into smart contract technology can automate repetitive tasks, reduce the need for human intervention, improve decision-making, and provide transparency and trust. It can also provide more flexibility, handle more complex tasks, learn from past experiences, have predictive capabilities, and have human oversight and intervention. All these features make Enigma contracts more advanced than traditional smart contracts. AI-powered smart contracts, or Enigma contracts, can also improve contract execution, increase efficiency, facilitate better negotiation, and facilitate automated dispute resolution. However, as the technology is still in its early stages, major challenges and risks can adopted but the need for robust security. The potential for AI is to make decisions that are not in the best interests of its parties. Despite these challenges, the potential benefits of AI-powered smart contracts make them an area of on-going research and development that is worth exploring further. Enigma can be used or applied in various fields, and can be used to secure the sensitive information by applying robust security system. Enigma contract is a AI powered smart contract which is used to automate decision-making processes and improve its efficiency, Enigma as the name suggest it is a complex security network which has the potential to revolutionize the security system by increasing efficiency. 2023 IEEE. -
Genetic causes of male infertility and emerging potential of stem cell therapeutics
Infertility has haunted mankind from ancient times. In 40 to 50% of the cases resulting in failure to conceive, the cause can be attributed to male infertility. The rates of infertility have risen in the past few decades among both among men and women. The reasons can be attributed to life style changes and environmental pollution apart from genetic causes. Scientists have found out few possible causes of male infertility and there are few treatment measures currently being carried out. The success of these depends on the primary cause of the infertility problem. In the past few decades, a number of genes playing roles in different stages of sperm development and differentiation were functionally analysed. This knowledge coupled with the advancements in stem cell technology and in vitro gametogenesis has led to new frontiers in possible therapeutic measures of male infertility, especially those with genetic causes. The present study focuses on the causes and treatment of male infertility focussing mainly on important genetic regulations and emerging stem cell-based therapeutics. 2021 World Research Association. All rights reserved. -
Climate Change inflicted Environmental Degradation leading to the Crumbling of Arctic Ecosystem
The Arctic and Antarctic regions serve as the air conditioners of planet Earth. The polar regions located thousands of miles away from us determine the climatic patterns of our geographical area. They maintain our planet at bearable temperatures which are ideal for the existence of diverse flora and fauna and to support different types of ecosystems all around the world. Apart from controlling the temperatures, they also regulate ocean currents which in turn have an effect on the monsoons, winds, hurricanes etc. The poles were pristine till a few decades back. Due to mans greed, the poles started deteriorating at an alarming scale. Climate change, biodiversity changes, oil drilling, seismic testing, toxin accumulation are a few of the challenges faced by the Arctic ecosystem having serious effects on its topography, terrestrial and marine life-forms and the whole ecosystem. Due to the alarming scale of global warming, there is also the danger of permafrost meltdown which can unleash a plethora of dangerous pathogens buried underneath and also let out the huge amounts of locked down carbon. The crumbling of the polar ecosystem is leading to rampant consequences not only in the poles but also elsewhere in the world thousands of miles away. Here, we attempt to discuss the repercussions of the crumbling Arctic ecosystem due to the physical, chemical and geological changes caused by such anthropogenic activities and look at the efforts being carried out to save the Arctic ecosystem in a frantic effort to save our planet. 2024, World Researchers Associations. All rights reserved. -
GCMS Analysis and zebrafish studiesr reveal presence of antilipidemic phytochemicals in methanolic seed extracts of phaseolus vulgaris /
International Journal of Pharmacy And Biological Sciences, Vol.9, Issue 2, pp.796-802, ISSN No: 2230-7605. -
An ancestral genomic locus in Mycobacterium tuberculosis clinical isolates from India hints the genetic link with Mycobacterium canettii /
International Microbiology, Vol.23, pp.397–404, ISSN No: 1139-6709. -
Facile green synthesis of MnV2O6 nanoparticles: Photocatalytic studies and selective oxidation of aromatic alcohols
Advances in nanotechnology play a crucial role in developing reliable and environmentally friendly nanoparticles (NPs). The green synthesis method is one among them and aims to eliminate toxic by-products. Developing low-cost and highly efficient photocatalysts is essential to accelerate these reactions. To perform this, it is successfully synthesized manganese vanadate NPs using eco-friendly Butea monosperma leaves by the solution combustion method, and the synthesised NPs were characterized to examine their structural, optical, and morphological properties. The XRD pattern confirms that the synthesised MnV2O6 (MVO) NPs possess a monoclinic structure with an average crystallite size of about 67 nm. UVVis spectroscopy shows a band gap of 1.69 eV indicating the suitability of the materials in the Visible region. The photocatalytic activity of the resulting MVO NPs was evaluated and good photocatalytic activity for the degradation of methylene dye. Further, experiments were conducted at various parameters to optimize the catalyst and show the rate constant of 0.00467 min?1. catalytic activity of MVO NPs was also studied for the selective oxidation of aromatic alcohols. Among the various oxidizing agents and solvents used in optimization studies, tBuOOH (oxidizing agent) and CH3CN (solvent) showed the highest conversion (%) of benzyl alcohol, i.e., 98%. 2025 Elsevier B.V. -
Harnessing MnMoO4 nanoparticles for eco-conscious effluent degradation and catalytic applications
The increasing need for green technology solutions to reduce water pollution and enhance sustainable catalysis has prompted the research for efficient photocatalysts. In this research, a green synthesis method was adopted to synthesize MnMoO4 NPs using solution combustion route followed by calcination. Synthesized MnMoO4 showed superior photocatalytic performance under visible light, with 91% degradation of Rose Bengal dye in aqueous medium indicates its potentiality for wastewater treatment. The material also showed catalytic efficiency in the coupling reaction of aniline and dimedone as model substrates for the synthesis of ?-enaminone derivatives, displaying its usability in organic catalysis. The work highlights the dual functional ability of MnMoO4 both an organic catalyst and a photo-catalyst, providing a green path for synthetic and environmental applications. The dual functionality combined with green fabrication process exemplifies the novelty and applicability of this article. The Author(s), under exclusive licence to Springer Nature Switzerland AG 2025. -
Yaj Bhava in teamwork: whole is greater than the sum of its parts
Purpose The purpose of this study is to extend contemporary teamwork theories by offering a value-based, ethically grounded model for managing teams in the current uncertain challenging environment. Design/methodology/approach A qualitative content analysis of objectively shortlisted relevant verses from the Bhagavad Gita to identify its core principles. Findings Incorporating Yaj Bhava into organizational practices can significantly enhance cohesion and success both at the Individual and Team level. Research limitations/implications This study introduces Yaj Bhava as a value-driven approach that complements and extends existing teamwork theories. It shifts focus from external coordination to internal attitudes like selflessness, shared purpose and ethical contribution. This perspective encourages a deeper exploration of how inner dispositions shape team effectiveness. The framework opens avenues for cross-cultural research and invites the development of new tools to study teamwork through a value-based lens. It also challenges researchers to revisit core constructs such as trust, motivation and goal alignment from a more holistic and ethical standpoint. Practical implications Applying the principles of Yaj Bhava encourages a shift in teamwork practices where prioritizing collective well-being over individual recognition leads to more integrated and sustainable outcomes for organizations and society. Originality/value This unique approach applies Indian Knowledge Systems to modern workplace challenges, bridging ancient wisdom with contemporary organizational needs. 2025 Emerald Publishing Limited -
Winning battles with a joke: a qualitative inquiry of humour in the Indian Army
Humour in military organizations can be antithetical given the rigid hierarchy, high degrees of work formalization, and obedience to hierarchy. This paper explores how humour is initiated, propagated and maintained in the Indian Army. We conducted twelve in-depth interviews with retired army professionals and used Braun and Clarkes (2006) thematic analysis to capture the study's main findings. Three major themes emerged organizational humour, leader humour, and team humour. We found humour is essential in combating stress, increasing social cohesion, facilitating newcomer assimilation, and promoting a positive work environment. We also found evidence of subversive humour used in forms of resistance to challenge the hierarchical structure subtly. We have provided a three-part schema of workplace humour which sheds interesting insights on workplace humour. Our findings will contribute to understanding how military humour helps to maneuver challenges of a stressful work situation 2023,European Journal of Humour Research. All Rights Reserved. -
Advancing Predictive Analytics in E-Learning Platform: The Dominance of Blended Models in Enrollment Forecasts
The rapid expansion of e-learning platforms has revolutionized the landscape of education, particularly highlighting the significance of online courses in contemporary learning environments. This research focuses on Udemy, a prominent online learning platform, and aims to enhance the predictability of course enrollments within its IT & Software category. The study's central purpose is to leverage advanced machine learning techniques to predict course subscriber numbers, a crucial indicator of a course's popularity and success. Employing an extensive dataset from (Kaggle DB)Udemy, encompassing various course attributes such as ratings, reviews, and pricing, the study explores multiple machine learning models. These include Linear Regression, Decision Tree, Random Forest, Gradient Boosting, and K-Nearest Neighbors Regression. A key innovation of this research is the application of ensemble methods, particularly a blended model approach, to integrate predictions from multiple models, thereby enhancing accuracy and reliability. The findings of this study are significant. The ensemble approach, notably the blended model, outperforms individual predictive models in accuracy. Among the single models, Gradient Boosting Regression shows the highest effectiveness in forecasting enrollments. The research highlights the vital role of course characteristics, including ratings and reviews, in determining course popularity. This study contributes to the field of e-learning by introducing a novel, data-driven approach to predict course enrollments. It offers valuable insights for educators, course creators, and platform developers, emphasizing the potential of machine learning in optimizing content strategy and marketing efforts in the digital education domain. The application of ensemble machine learning methods presents a new horizon in educational analytics, paving the way for more nuanced and effective strategies in online education delivery and promotion. 2024 IEEE. -
Underwater Image Dehazing: A Comprehensive Approach
Underwater imaging in recent times has advanced by trying to correct color distortion, increase contrast, and increase image clarity if the light need is less. The use of deep learning has been effective in enhancing image quality, but challenges persist in the decompression process due to data inconsistencies. In order to do this a new scheme is proposed in this study. Unlike other methods which depend only on the single images captured, here an attempt is made to use images taken in other conditions to overcome this limitation, by using the model to try and improve such underwater images in general irrespective of the water conditions. A key innovation is the disassembly and synthesis of multi-channel illuminance data. Specifically, we decompose the input image into its red, green, and blue frequencies, and then approximate the illuminance component within each channel. By independently manipulating and reconstructing these channel-specific illuminance maps, we can effectively address the non-uniform light scattering and absorption that are characteristic of underwater environments. This allows us to correct for the inherent color casts and haze that degrade image quality. To further refine the enhancement, we incorporate, advanced color correction methods such as image saliency exploration and white balance adjustment to compensate for color attenuation caused by light absorption at different depths. These techniques effectively restore lost colors and enhance contrast, thereby improving image clarity and sharpness. This is helpful in the field of engineering and also forms the foundation for further exploring methods of improving images captured underwater. Investigational outcomes exhibit that the intended method ominously augments image eminence, making it highly effective for underwater detection and exploration tasks, offering an innovative solution for hazy images in various conditions and advancing underwater monitoring and exploration technologies. 2026, Modern Education and Computer Science Press. All rights reserved. -
EUI: A Novel Underwater Image Enhancement Network
The use of optical imaging cameras on underwater vehicles has been increasingly common in recent years. These cameras are increasingly being utilized for the purpose of assisting with the search for aquatic items and the gathering of images. The past ten years have seen the publication of a number of techniques that have been utilized to enhance underwater images. These techniques include enhancing the signal-to-noise ratio and decreasing the amount of backscattered noise at the receiving end. Nevertheless, the development of these algorithms was driven by the need to find a solution to the problem of improving photographs of underwater environments when they are exposed to daylight. The accuracy of these, on the other hand, will not be known until they have been tested on photographs taken underwater in low light conditions. As a result of the fact that dark underwater scene photos typically have an exceptionally low quality and the presence of a great deal of noise, it is simple for artifacts to arise during the process of improvement. In order to fill this need, we conduct an in-depth analysis of the most recent deep learning-based algorithms for the enhancement of underwater images. A novel underwater image augmentation network that is capable of handling the severe decrease in underwater image quality that is induced by low illumination is that which we propose as our last suggestion. Our approach allows for the possibility of ULPs avoiding both low-light damage and scattering at the same time. Additionally, the results of our tests suggest that our method continues to be trustworthy even when exposed to different levels of illumination, which has allowed it to be applied to a wider range of applications. When compared to some of the most cutting-edge strategies for improving underwater pictures that are already in use, as well as techniques for improving low-light images, our method has shown to be superior in terms of performance in a variety of low-light underwater situations. 2025 IEEE. -
EUI: A Novel Underwater Image Enhancement Network
The use of optical imaging cameras on underwater vehicles has been increasingly common in recent years. These cameras are increasingly being utilized for the purpose of assisting with the search for aquatic items and the gathering of images. The past ten years have seen the publication of a number of techniques that have been utilized to enhance underwater images. These techniques include enhancing the signal-to-noise ratio and decreasing the amount of backscattered noise at the receiving end. Nevertheless, the development of these algorithms was driven by the need to find a solution to the problem of improving photographs of underwater environments when they are exposed to daylight. The accuracy of these, on the other hand, will not be known until they have been tested on photographs taken underwater in low light conditions. As a result of the fact that dark underwater scene photos typically have an exceptionally low quality and the presence of a great deal of noise, it is simple for artifacts to arise during the process of improvement. In order to fill this need, we conduct an in-depth analysis of the most recent deep learning-based algorithms for the enhancement of underwater images. A novel underwater image augmentation network that is capable of handling the severe decrease in underwater image quality that is induced by low illumination is that which we propose as our last suggestion. Our approach allows for the possibility of ULPs avoiding both low-light damage and scattering at the same time. Additionally, the results of our tests suggest that our method continues to be trustworthy even when exposed to different levels of illumination, which has allowed it to be applied to a wider range of applications. When compared to some of the most cutting-edge strategies for improving underwater pictures that are already in use, as well as techniques for improving low-light images, our method has shown to be superior in terms of performance in a variety of low-light underwater situations. 2025 IEEE. -
Benzimidazole and benzothiazole fluorophores with large Stokes shift and intense sky-blue emission in aggregation as Al3+ and Pb2+ sensors
New fluorophores based on 2-(2?-hydroxyphenyl)benzimidazole (HBZ) and 2-(2?-hydroxyphenyl)benzothiazole (HBT) for metal ion sensing were designed and synthesized using a simple method. The photophysical behaviour of these fluorophores were investigated in various solvents using UVvisible and fluorescence spectra. All the heterocycles showed strong excited state intramolecular proton transfer (ESIPT) characteristics with remarkably large Stokes shift (190252 nm). Spatial charge distribution in the frontier molecular orbitals also demonstrated the ESIPT mechanism through intramolecular charge transfer. Time resolved fluorescence measurements for these heterocycles showed two long-life decay mechanisms which may be attributed to excited state enol and keto emission. These intense sky-blue emitters also exhibited aggregation induced blue shifted emissions due to restriction of intramolecular rotation processes. Fluorescence sensing studies for metal ions revealed the good selectivity of these fluorophores towards Al3+ and Pb2+. Theoretical computations performed using density functional theory methods showed two possible geometric configurations for Al3+ binding. 2019 Elsevier B.V. -
Benzimidazole and benzothiazole conjugated Schiff base as fluorescent sensors for Al3+ and Zn2+
Two benzimidazole/benzothiazole based azomethines, (E)-2-(1H-benzo[d]imidazol-2-yl)-4-(4-(diethylamino)-2-hydroxybenzylideneamino)phenol (HBZA) and (E)2-(benzo[d]thiazol2-yl)4-(4-(diethylamino)2-hydroxybenzylideneamino)phenol (HBTA) were designed and synthesised. Investigations of solvatochromic behaviour of these fluorophores in solvents of varying polarities showed large Stokes shift of 134210 nm. Time resolved Laser induced fluorescence measurements revealed the excited state dynamics of the fluorophores. Molecules were also found to be emissive in aggregated state as seen from the aggregation induced emission studies. Appreciable absorption and emission spectral changes upon co-ordination of HBZA with Al3+/Zn2+ and HBTA with Al3+, as well as good sensitivity and selectivity, indicated their capability of detecting the two analytes. The binding stoichiometry was determined using electrospray ionization mass spectrometry (ESI-MS) and the binding mechanism was studied using density functional theory. 2019 Elsevier B.V. -
Structural investigation, spectroscopic and energy level studies of Schiff base: 2-[(3?-N-salicylidenephenyl)benzimidazole] using experimental and DFT methods
The Schiff base 2-[(3?-N-salicylidenephenyl)benzimidazole] (Spbzl) was characterized by FT-Raman, 1H NMR, 13C NMR and single crystal X-ray diffraction technique. Crystallographic studies reveal the presence of two water molecules in the asymmetry unit which aid the intermolecular hydrogen bonding with imidazole ring, and the trans-conformation of the azomethine bond. Theoretical computations conducted using density functional theory (DFT) analysis support the experimental facts. Energy levels estimated by DFT studies are in good agreement with the values obtained from cyclic voltammetry technique. Frontier molecular orbital analysis shows that charge transfer has taken place from donor to acceptor moiety, which is also supported by the high hyperpolarizability values in both gaseous and solution phases, indicating high charge transfer capability of the molecule. A comparative theoretical study of Spbzl with derivative 4-((3-(1H-benzimidazol-2-yl)phenylimino)methyl)-3-hydroxybenzoic acid (Pbzlb) having an added anchor group COOH substituted at para position in the acceptor ring has been made. The result shows the feasibility of charge transfer to the semiconductor surface in dye sensitized solar cell (DSSC) applications for Pbzlb. 2017 Elsevier B.V. -
Effect of solvents on photophysical properties and quenching of 2-{[3-(1H-benzimidazole-2-yl) phenyl] carbonoimidoyl}phenol
The effect of solvents of varying polarity on the absorption and fluorescence emission of the Schiff base, 2-{[3-(1H-benzimidazole-2-yl) phenyl]carbonoimidoyl}phenol, was studied using Lippert-Mataga bulk polarity function, Reichardt's microscopic solvent polarity parameter and Kamlet's multiple linear regression approach. The spectral properties follow Reichardt's microscopic solvent polarity parameter better than Lippert-Mataga bulk polarity parameter, indicating the presence of both general solute-solvent interactions and specific interactions. Catalan's multiple linear regression approach indicates the major role of solvent polarizability/dipolarity influence compared with solvent acidity or basicity. The solvatochromic effect was utilized to calculate the dipole moments of ground and excited states of the Schiff base using different methods. Bathochromic shift in the emission spectrum and the increase in dipole moment in the excited state signifies the intramolecular charge transfer character in the emitting singlet state. Fluorescence quenching by aniline was also studied in 1,4-dioxane and n-butanol, and the results were analyzed using sphere of action static quenching and finite sink approximation models. 2014 John Wiley & Sons, Ltd.