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Metal-Based Nanoparticles for Infectious Diseases and Therapeutics
Infectious diseases that are easily transmitted by microorganisms like bacteria, protozoa, fungus, etc. are a menace to humans. The greatest threat to human race is to mitigate the impact of these diseases. People with less immunity and children are prone to these diseases. Even healthy people get infected due to its easy transmission. Microorganisms causing these diseases are becoming more resistant to the drugs that are available in the market. So, there is a need to find new therapeutic which is facile, sensitive, and selective, is an important challenge for the medical field and this is where nanotechnology is having a greater chance. Nanoparticles especially metal-based nanoparticles have the ability to act against infectious and non-infectious diseases, this is because of their unique properties like small size, high surface area, etc. They do not have a specific binding site on the bacterial cell, which lead to the failure of bacterial resistant towards the nanoparticle mechanism. There are many nanoparticles which are efficient against particular diseases. In this review we are discussing about the advanced nanomaterials as therapeutics for infectious diseases. We have also discussed about antiviral activities which gives us a ray of hope for the solution of the SARS-COV-2. The Editor(s) (if applicable) and The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd. 2022. -
Metallic silver and copper oxide nanoparticles: Uses in food preservation and impacts on the environment
This review examines the applications of metallic silver and copper oxide nanoparticles in food preservation, emphasizing their potential to revolutionize food packaging and reduce environmental pollution through enhanced waste management strategies. Synthesis of these nanoparticles via green methods including bacteria-, fungi-, and plant-mediated approaches have been discussed. The antimicrobial properties and toxicity of silver and copper oxide nanoparticles have been evaluated highlighting their efficiency in inhibiting microbial growth and extending the shelf life of food products. Regulatory policies governing the use of these nanoparticles in food packaging have been analyzed along with the exploration of active packaging technologies that leverage their unique properties. By integrating advances in nanotechnology with better food formulations, this review underscores the transformative impact of silver and copper oxide nanoparticles on food safety and environmental sustainability, offering insights into the future directions for research and newer applications. 2024 -
Metalsemiconductormetal visible photodetector based on Al-doped (Cd:Zn)S nano thin films by hydrothermal synthesis
High quality undoped and Al-doped nanocrystalline (Cd:Zn)S films [CZS and ACZS] were deposited on glass substrates by hydrothermal assisted chemical bath deposition. The Al concentration was varied from 0.5 mol.% to 2 mol.% in steps of 0.5 mol.% replacing cadmium while keeping other deposition parameters constant. XRD, SEM, and EDX were used to observe crystallinity, morphology and composition of the as prepared samples. X-ray diffraction revealed the hexagonal phase of CZS films with prominent orientation along the (002) plane. XPS analysis was used to confirm the doping concentration of Al in to CZS lattice. Repeatable photoresponse was recorded under 100 s cycle light-on and light-off conditions. 1 mol.% Al doped film being optimised as good photoconductor; a photodetector was fabricated with Ag/ACZS/Ag device structure. The ACZS photodetector exhibits similar time response, good photocurrent reproducibility and a sharp photoresponse at blue radiation with high photo-dark current ratio of 95. The device exhibits peak responsivity of 3.48 mA W?1 and detectivity of 1.26 1011 Jones at 470 nm. These properties suggest that the ACZS photodetector holds great potential for application in high-performance visible photodetectors, especially in the blue region. 2021 Elsevier GmbH -
Metamaterial Integrated Patch Antenna Design with Enhanced Gain for WLAN and WIMAX Applications
In this paper a dual-band high gain metamaterial antenna is designed using RT Duroid 5880 with overall size of 50 60 mm2 and thickness of 1.64 mm. A rectangular patch antenna with two slots is designed to operate at 3.5 and 5.8GHz for Worldwide Interoperability for Microwave Access (WiMAX) and Wireless local area network (WLAN) applications. Further, to enhance the gain characteristics of patch antenna, a reflective metasurface (RMS) is designed on FR-4 substrate, which is placed as a superstrate above the antenna. The metasurface used as superstrate is placed at the air gap of 15 mm to achieve optimum gain and bandwidth. It is observed that the proposed metamaterial integrated antenna shows enhanced gain of 6.5 and 7.73 dBi at both the resonant frequencies. The designed antenna is a good candidate for various WLAN and WiMAX applications. 2025 IEEE. -
MetaMinds and digital realms: Deciphering Gen Z consumer behavior in metaverse marketing
This conceptual research paper explores the innovative convergence of virtual reality (VR), augmented reality (AR), and digital spaces as it dives into the complex dynamics of Gen Z consumer behavior within the metaverse. Businesses and scholars alike face hurdles in comprehending the complex preferences, motives, and decision-making processes of this generation of digital natives, as traditional marketing tactics undergo a metamorphosis in the aftermath of the metaverse. Understanding the nuances of Gen Z's interactions in this immersive digital world is crucial for businesses looking to connect and engage with this significant consumer generation as the metaverse becomes an increasingly important part of everyday life. Thus, this study also attempts to understand the awareness about metaverse among Gen Z and the challenges faced during the act of purchase in a meta environment. 2025 by Priyakrushna Mohanty, Aarthy Chellasamy and Aishwarya Nagarathinam. All rights reserved. -
Metaverse for Sustainable Development: Trends and Applications
Unlock the future of technology and sustainable development by purchasing Metaverse for Sustainable Development: Trends and Applications, a comprehensive guide that delves into immersive application building, groundbreaking innovations, and the transformative potential of the metaverse across various industries. Metaverse for Sustainable Development: Trends and Applications explains the fine details of metaverse application building, demonstrating how integrated platforms in association with a suite of tools come in handy for enabling application construction. The metaverse is the next big thing influenced by virtual and augmented reality paradigms. This user experience will be more immersive and mesmerizing, empowering innovative, disruptive, and transformative technologies to create a spectacular platform for visualizing and realizing business-critical and people-centric metaverse systems. This book explores various metaverse models for healthcare information systems, including the latest technologies, such as the Brain-Computer Interface. Through real-world data and case studies, readers will gain a comprehensive understanding of the metaverses potential for the Internet of Things, blockchain, artificial intelligence, 5G, and 3D modelling for creating and sustaining immersive virtual worlds. Metaverse for Sustainable Development: Trends and Applications is a vital resource for understanding the end-to-end implementation of metaverse technologies. 2025 Scrivener Publishing LLC. -
Metaverse marketing: a review and future research agenda
Purpose: The metaverse represents a rapidly evolving digital environment that blurs the lines between physical and virtual reality, and it offers unique opportunities and challenges for businesses and marketers. The purpose of this study is to provide a comprehensive review of metaverse marketing research. The present study reviews the literature on metaverse to identify theories, contexts, gaps and methodologies using TCCM framework (Theories, Contexts, Characteristics and Methodology) to set a future research agenda. Design/methodology/approach: A review was conducted of 179 English papers related to metaverse marketing from 2010 to 2023 from the Scopus and Web of Science core collection after applying relevant filters using the TCCM framework. Findings: The findings suggest that the studies have inadequately distinguished metaverse as something that only builds interactive experiences that combine the virtual environment and the real world, whereas the theoretical domain of metaverse is dominated by studies in various domains. The applicability of metaverse marketing research is pertinent in various domains of the management field. The study explores various facets of metaverse marketing to capture its dynamic nature. Research limitations/implications: By presenting a comprehensive review, themes and knowledge gaps of the research on metaverse marketing, this study will enhance research output and provide valuable tools for future research on metaverse. Practical implications: By analyzing metaverse in marketing, the companies will be able to use this concept effectively to formulate innovative marketing strategies and personalized consumer experiences and understand consumer behavior. Furthermore, research into metaverse marketing will be helpful in offering predictions about future trends in consumer behavior, technology adoption and virtual world development. Originality/value: This study provides a thorough analysis of the current state of research on metaverse in marketing and provides a road map for further research in this area. 2024, Emerald Publishing Limited. -
Method for face-recognition on the basis of sketch using deep convolution neural network /
"Patent Number: 201941045946, Applicant: Dr. Debabrata Samanta.
The present invention relates to method for face- recognition on the basis of sketch using deep convolution neural network. The objective of the present invention is to overcome the inadequacies of the prior art in techniques for face- recognition on the basis of sketches." -
Method for face-recognition on the basis of sketch using deep convolution neural network /
Patent Number: 201941045946, Applicant: Dr. Debabrata Samanta.
The present invention relates to method for face- recognition on the basis of sketch using deep convolution neural network. The objective of the present invention is to overcome the inadequacies of the prior art in techniques for face- recognition on the basis of sketches. -
Method for synthesizing onion-like carbon nanostructures for high performance supercapacitor applications /
Patent Number: 202141000172, Applicant: A V Ramya.The present invention provides a facile, cost-effective, and scalable method for the preparation of onion-like carbon nanostructures from paraffin oil. The method includes a wick-and-paraffin oil flame pyrolysis process in a limited supply of oxygen, where the soot generated during combustion is collected and processed to obtain onion-like carbon nanostructures. The synthesized nanostructures exhibit nearly spherical morphology with particle size ranging from 30 to 50 nm and a BET specific surface area of 104 m2/g. v. -
Method of computer added progressive die design with energy conservation /
"Patent Number: 201941037095, Applicant: Debabrata Samanta.
The present invention is related to a method of computer added progressive die design with energy conservation. The computer implemented method is presented including the simulation of requirements of design with bending the blank sheet metal strip used as a simulation, boundary conditions and applying the constraint nodes motion on the object. An adaptive algorithm processed by the processor of the computer system which used for the energy-saving measurement and adjustment of the progressive die design." -
Method of computer added progressive die design with energy conversation /
Patent Number: 201941037095, Applicant: Dr. Debabrata Samanta.
The present invention is related to a method of computer added progressive die design with energy conservation. The computer implemented method is presented including the simulation of requirements of design with bending the blank sheet metal strip used as a simulation, boundary conditions and applying the constraint nodes motion on the object. -
Method of enhancing quality of services in cloud computing environment using load balancer /
Patent Number: 202211006218, Applicant: Dr. Pratibha Giri. -
Method of enhancing quality of services in cloud computing environment using load balancer /
Patent Number: 202211006218, Applicant: Dr. Pratibha Giri. -
Method of enhancing quality of services in cloud computing environment using load balancer /
Patent Number: 202211006218, Applicant: Dr. Pratibha Giri. -
Method of enhancing quality of services in cloud computing environment using load balancer /
Patent Number: 202211006218, Applicant: Dr. Pratibha Giri. -
Method of enhancing quality of services in cloud computing environment using load balancer /
Patent Number: 202211006218, Applicant: Dr. Pratibha Giri. -
Method of enhancing quality of services in cloud computing environment using load balancer /
Patent Number: 202211006218, Applicant: Dr. Pratibha Giri. -
Method of preparing a document for survey instrument validation by experts
Validation of a survey instrument is an important activity in the research process. Face validity and content validity, though being qualitative methods, are essential steps in validating how far the survey instrument can measure what it is intended for. These techniques are used in both scale development processes and a questionnaire that may contain multiple scales. In the face and content validation, a survey instrument is usually validated by experts from academics and practitioners from field or industry. Researchers face challenges in conducting a proper validation because of the lack of an appropriate method for communicating the requirement and receiving the feedback. In this Paper, the authors develop a template that could be used for the validation of survey instrument. In instrument development process, after the item pool is generated, the template is completed and sent to the reviewer. The reviewer will be able to give the necessary feedback through the template that will be helpful to the researcher in improving the instrument. 2021 The Author(s) -
Methodical investigation of filtering algorithms for human brain MRI
Retrieving useful information from the given data through a systematic and organized way can help to learn more about the data in a much better and clear way. Information is hidden in medical images. The medical images like Magnetic Resonance Images (MRI), Computed Tomography (CT), ultrasound, X-ray are suggested by the physicians depending upon the available symptoms of the disease. These medical images contain valuable information about a particular disease in hidden format. Identification of that potentially useful information is crucial in further treatments of a particular disease. In image mining the images are processed and extraction or mining of knowledge is done, to get original, valid, potentially useful, and understandable patterns from the available images. The obtained patterns are a good source for further research work. This research work uses brain Magnetic Resonance Images (MRI) of human beings. Different image filtering algorithms were used to retrieve noise free images. International Science Press.











