Browse Items (11855 total)

• Book Chapter

  Metal Organic Frameworks to Remove Arsenic Adsorption from Wastewater

  Water is an integral part of life on earth. Rapid industrialization, urbanization, and population explosion have all contributed to the pollution of ground and surface water with, among other things, heavy metals. This has led to an acute shortage of clean drinking water. Arsenic is one of the most toxic heavy metals found in water, posing a serious threat to the environment, human beings, and aquatic life. Over the years, a considerable amount of research has been directed toward the elimination of arsenic from water via sustainable methodologies. Metal organic frameworks are a class of materials possessing exceptional features like chemical stability, high porosity, multiple functional groups, and large surface areas. These properties can be effectively channelized to make metal organic frameworks excellent adsorbents for the removal of arsenic from contaminated water and make it drinkable. We have reviewed herein, the problems of heavy metal contamination, specifically the different forms of arsenic that pollute water. The importance of metal organic frameworks and the progress made in the synthesis of materials having a metal oxide framework have been discussed. Significant properties like adsorption and mechanistic aspects of adsorption through metal organic frameworks have been described. Furthermore, the characterization of the electronic and geometric aspects of metal organic frameworks using density functional theory has been reviewed. Insight into proper scaling up and development of metal organic frameworks for practical applications have also been suggested. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
• Book Chapter

  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.
• Article

  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
• Article

  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
• Review

  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.
• 
  Patent

  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."
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  Patent

  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.
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  Patent

  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.
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  Patent

  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."
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  Patent

  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.
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  Patent

  Method of enhancing quality of services in cloud computing environment using load balancer /

  Patent Number: 202211006218, Applicant: Dr. Pratibha Giri.
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  Patent

  Method of enhancing quality of services in cloud computing environment using load balancer /

  Patent Number: 202211006218, Applicant: Dr. Pratibha Giri.
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  Patent

  Method of enhancing quality of services in cloud computing environment using load balancer /

  Patent Number: 202211006218, Applicant: Dr. Pratibha Giri.
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  Patent

  Method of enhancing quality of services in cloud computing environment using load balancer /

  Patent Number: 202211006218, Applicant: Dr. Pratibha Giri.
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  Patent

  Method of enhancing quality of services in cloud computing environment using load balancer /

  Patent Number: 202211006218, Applicant: Dr. Pratibha Giri.
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  Patent

  Method of enhancing quality of services in cloud computing environment using load balancer /

  Patent Number: 202211006218, Applicant: Dr. Pratibha Giri.
• Article

  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)
• Article

  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.
• Book

  Methodologies and Applications of Computational Statistics for Machine Intelligence

  With the field of computational statistics growing rapidly, there is a need for capturing the advances and assessing their impact. Advances in simulation and graphical analysis also add to the pace of the statistical analytics field. Computational statistics play a key role in financial applications, particularly risk management and derivative pricing, biological applications including bioinformatics and computational biology, and computer network security applications that touch the lives of people. With high impacting areas such as these, it becomes important to dig deeper into the subject and explore the key areas and their progress in the recent past. Methodologies and Applications of Computational Statistics for Machine Intelligence serves as a guide to the applications of new advances in computational statistics. This text holds an accumulation of the thoughts of multiple experts together, keeping the focus on core computational statistics that apply to all domains. Covering topics including artificial intelligence, deep learning, and trend analysis, this book is an ideal resource for statisticians, computer scientists, mathematicians, lecturers, tutors, researchers, academic and corporate libraries, practitioners, professionals, students, and academicians. 2021, IGI Global. All rights reserved.
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  Patent

  Methods and model for worklife balance of women entrpreneurs /

  Patent Number: 202011039249, Applicant: Dr. Purvi Pareek.
  The increase in the rate of capital formation is an integral part of the economic development of a country. An women entrepreneur stimulates the economic forces in capital formation through his undertakings. When there is industrial development by means of establishing new industries at different locations, employment is generated, regional disparity is reduced and the better standard of living is achieved.