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Development of Genetic Algorithm Based Neural Network Model for Predicting Strength of High Performance Concrete
Volume 3, Issue -2, ISSN: 2248-9622 -
Development of Genetic Algorithm based Neural Network Model for Predicting Workability and Strength of High Performance Concrete
International Journal of Inventive Engineering and Sciences (IJIES), Vol.2, Issue 6, ISSN : 2319-9598. -
Development of Genetic Algorithm based Neural Network Model For Predicting Workability and strength of High Performance Concrete.
Volume-2 Issue-6, May, ISSN 23199598 -
Development of Green Synthesized Novel Carbon Dots from Ruta Graveolens L. for Fluorescent and Intracellular Sensing of Mercury Ions in Pico-molar (pm) Concentration
Green nanotechnology, which uses carbon nanomaterials for environmental remediation, is the pioneer among the prevailing approaches for the production and characterization. In the present study, highly fluorescent carbon dots (CDs) from Ruta Graveolens (ARH-CD) is developed, and its efficacy as a fluorescent sensor and biomarker is investigated. They act as a fluorescence sensor for Hg2+ over an extensive concentration range of 1 picomolar (pm) to 1 molar (m), with a detection limit as low as 26.75 pm. The studies reveal ARH-CD as an effective biomarker for intracellular toxicity analysis and a fluorescent probe for multi-colored (blue, green, and red) imaging of HEK293 cell lines. After 24 h of incubation, it is found that the ARH material reveals noticeable biocompatibility and visible fluorescence, with a viability of 98.88% at 5 gmL?1 and over 78.33% even at a concentration of 100 gmL?1. The IC50 value for the MTT assay for cell viability results is calculated to be 224.56 4.67 g, which further confirms the appreciable biocompatibility of the ARH-CD. The obtained samples are effective in being inspected for the intracellular detection of Hg2+ and serve as a possible candidate for cell imaging. 2024 Wiley-VCH GmbH. -
Development of Guidelines for Spouses Engaged in Home-Based Care of Persons With Motor Neuron Disease From Indian Context
Background: The caregivers of persons with motor neuron disease (MND) have several needs that are usually not voiced on any platform. Aim: To explore the lived experience of spouses of persons with MND, identify their needs and develop guidelines for better home-based care. Method: An exploratory study with 3-point in-depth interviews among 13 participants was conducted. Participants were the spouses of persons with MND under treatment at a national quaternary referral center. The interpretative phenomenological analysis identified participants needs. These needs, with literature review synthesis, guided the drafting of guidelines, which was validated by experts. Results: The needs were emotional, social, care systems, and skills. The guidelines developed contained 2 sections (1) Information for the spouses: understanding MND, communication, symptom management, marital relationship, palliative care, and everyday life made easier. (2) Well-being of the spouse caregivers: well-being of the spouse caregivers, self-care, mental health, supporting carers in palliative care, where to find help. Conclusion: The guidelines can be developed as a manual for the caregivers and for training healthcare professionals working with neurodegenerative conditions. The Author(s) 2022. -
Development of high performance polymer composites by additive manufacturing
Additive manufacturing, often known as 3D printing, is a process that involves the manufacture of physical things in a manner that is similar to building them up layer by layer. As a result of its utilization of automated procedures to generate complicated three-dimensional forms, which are either difficult or impossible to produce using conventional methods, fused deposition modeling is a typical approach that uses heat to assist in the extrusion process. The term "high-performance polymer" refers to a group of polymer materials that are known to maintain their desirable mechanical, thermal, and chemical properties when subjected to harsh environments such as high temperatures, high pressures, and corrosive chemicals. This chapter starts off with a brief introduction of conductive and high-performance polymer composites, followed by a rundown of how these materials are utilized in the 3D printing process. 2023, IGI Global. All rights reserved. -
Development of highly fluorescent nano-carbon sensor from ruta graveolens /
Patent Number: 202241007109, Applicant: Joseph, Neethu.
The present invention offers eco-friendly, green synthesis of cost-effective and scalable nano-carbon structures with potential fluorescence property facilitating its application in fluorescence sensing and antibacterial studies. The synthesized nanostructure reveals high fluorescence exhibiting its potential to be used for fluorescence-based sensing studies. The synthesized nano-carbon has excellent heavy metal ion sensing potential, which is verified through fluorescence spectroscopic studies. -
Development of HVOF-sprayed TIO2-CR2O3 composite coatings on aluminium dies used in the production of areca leaf plates /
Patent Number: 202241001377, Applicant: Keshavamurthy R.
HVOF sprayed Titanium Dioxide and Chlorium oxide coatings were developed by spraying the composition over aluminium dies used in Areca leaf plate manufacturing applications. The invention focuses on protecting the aluminium plate by using coating for enhancing theperformance for developing large scale areca leaf plates. -
Development of HVOF-sprayed TIO2-CR2O3 composite coatings on aluminium dies used in the production of areca leaf plates /
Patent Number: 202241001377, Applicant: Keshavamurthy R.
HVOF sprayed Titanium Dioxide and Chlorium oxide coatings were developed by spraying the composition over aluminium dies used in Areca leaf plate manufacturing applications. The invention focuses on protecting the aluminium plate by using coating for enhancing theperformance for developing large scale areca leaf plates. -
Development of Internet of Things Platform and Its Application in Remote Monitoring and Control of Transformer Operation
Internet of Things platforms deployed on the system will exhibit numerous benefits such as real time monitoring, faster operation and cost effectiveness. A system oriented IoT platform is developed which features database connotation, web services, setup portal, cloud hosting, drivers or listener for programming languages and hardware devices. The functional parameters of transformer in electrical power system vary around the limit and beyond, which is observed by the IoT platform for remote analysis and to report deformation in the winding. The frequency response measurement from the transformer terminal unit is send to cloud database which is then fetched to remote application through IoT client. At remote monitoring tool, the diagnostic algorithm is executed to estimate the location and extent of deformation. IoT based frequency response analyzer and transformer diagnostic tools developed reports the status of the transformer health condition. Depending upon the extent of deformation, the transformer is isolated from power system. Springer Nature Switzerland AG 2020. -
Development of IOT based household health safety system /
Patent Number: 202141012686, Applicant: Dr. R. Kumaravelan.
IoT opens the pathway of modernized health care and safety systems to monitor the physical parameters of the persons. But the emerging count of accidents and deaths occur inside the houses are created the necessity of making real-time monitoring and identification systems to rescue the affected person whoever got injured inside the house. Thus to provide this systematic approach the combination of sensors and the micro-controller unit with IoT will help to provide the accurate and optimistic response for the recovery of the persons injured. -
Development of LIDAR-SLAM Integrated Low Cost Health Care Monitoring Robot with Sustainable Material
Beyond the global pandemic, healthcare has faced a myriad of challenges, from rising costs and accessibility issues to the need for precision in patient care and efficient medication delivery. This project embodies a visionary response to the multifaceted challenges faced by healthcare systems in health centers located in rural areas. The proposed research work focused on design and development of a health care monitoring robot with integration of 3D LIDAR Simultaneous Localization and Mapping (SLAM) based navigation approach, introduction of sustainable materials like bamboo and wood composites for development of robotic arm and robotic body frames. Also, from the initial tests it has been observed that with the developed mobile robot functions like precision medicine delivery, Open AI-Enabled continuous monitoring, hospital environment sanitization and emergency oxygen supply can be performed efficiently. 2024 IEEE. -
Development of multi-sensor smart robot for intelligent border security seurveillance system /
Patent Number: 202141033795, Applicant: Dr Yarrapragada K S S Rao.
For nation defense and security, border monitoring is the essential activity. To keep the peace and protect the population, borders must be constantly monitored. With actions like terrorist infiltrations and illicit movement of living and non-living creatures becoming so commonplace, the borders are more important than ever to secure. It's the least that can be done to prevent border incidents from occurring in the first place by ensuring continuous oversight. In the present situation, the border security personnel monitor the borders manually. Manpower and assets are needed since the boundaries span hundreds of kilometers, and the topography and climatic conditions are severe. -
Development of nanocarbon sensors for atropine sulphate from orange peel /
Patent Number: 202041033633, Applicant: A V Ramya.
The present invention provides various facile synthesis routes for simple, low-cost, scalable production of different nanocarbon allotropes from orange peel, for quantitative determination of Atropine Sulphate. The different synthesis methods include microwave pyrolysis of orange peel, acidic oxidation of microwave pyrolyzed orange peel, hydrothermal reaction of acidic oxidized orange peel, chemical exfoliation of microwave pyrolyzed orange peel and hydrothermal reaction of chemically exfoliated orange peel. -
Development of nitrogen-doped multilayer graphene derivative from coke for imaging biomarker applications /
Patent Number: 202241032250, Applicant: Riya Thomas.
The present disclosure pertains to the methods of preparing nitrogen-doped multilayer graphene derivative via one-pot hydrothermal method utilizing a kind of high-rank coal termed, coke. The prepared nitrogen-doped multilayer graphene derivative possesses excellent fluorescence, long fluorescence lifetime, and, high quantum yield appropriate for bio-related applications. -
Development of Optical and Electrochemical Sensor for Environmental Pollutants
Carbon nanocomposites have garnered much attention among various nanomaterials newlineowing to their well-defined characteristics, such as large surface area, biocompatibility, newlineand concise synthetic routes. They are also a viable contender for fluorescence and newlineelectrochemical applications, notably sensing, due to their intriguing photoluminescence and electrochemical features. Fluorescence and Electrochemical sensors for environmental pollutants are constructed using carbon quantum dots with different surface functionalization (functionalized with boric acid, organic dyes, polymer composite, and 2-aminothiazole). The developed sensor was considered as potential material for detecting heavy metal ions and organic pollutants. Surface morphology was analyzed using Transmission electron microscopy (TEM), an X-ray diffraction pattern (XRD), Raman spectra, X-Ray Photoelectron spectroscopy newline(XPS), Optical Profilometry, and Fourier Transform Infrared Spectroscopy (FTIR) newlinestudies. UV-Visible and photoluminescence spectroscopy reveals the absorption, newlineemission, and excitation spectra for the synthesized sensor with and without the addition of analytes. In electrochemical investigations, Nyquist plots showed that the modified working electrodes had the lowest charge transfer resistance when compared to other working electrodes. The effect of pH, ionic strength, long-term storage ability, and quantum yield were optimized for the fabricated fluorescence sensor. For the newlineelectrochemical sensor, the influence of the scan rate and the appropriate thickness of newlinethe electrodeposited film was carefully examined in order to achieve the highest current responsiveness and potential window. Quantification of the analytes was performed newlineusing Forster resonance energy transfer (FRET), Differential Pulse Voltammetry (DPV), newlineand the square wave voltammetry technique (SWV). The designed sensor was used to newlinecarry out analytical corroboration for the real samples. -
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Development of perceived prenatal maternal stress scale
Background: Pregnancy is a state, which is often associated with extreme joy and happiness. Women undergo a number of physiological and psychological changes during pregnancy, which are often stressful if aligned with other adverse life events, compromising their health and well-being. However, there exists no comprehensive psychological instruments for measuring this stress. Objectives: The study was conducted to develop a multidimensional scale to assess prenatal maternal stress (PNMS) comprehensively. Methods: The initial phase of the study focuses on developing items and assessing the content validity of these items. The second phase focuses on pilot-testing and field-testing the newly developed perceived PNMS scale (PPNMSS) among 356 pregnant women belonging to different parity and trimester from November 2015 to October 2016. Results: The underlying factor structure of the 28-item PPNMSS had explored using exploratory factor analysis. The final scale is retained with 15 items having considerable item loading under four major factors as follows: perceived social support, pregnancy-specific concerns, intimate partner relations, and financial concerns. Reliability of each of these dimensions was assessed using Cronbach's alpha. Convergent and divergent validity of the scale was assessed by correlating the scores with perceived stress scale and the World Health Organization (five) well-being index (1998 version). Conclusions: As a comprehensive scale, PPNMSS is efficient to measure PNMS, which facilitates an early detection of stress and depression among pregnant women and timely intervention by health care professionals.