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Development of Biocompatible Barium peroxide/Pluronic F127/L-ornithine Composite for Enriched Antimicrobial, Antioxidant and Anticancer Potential: An in vitro Study
Osteosarcoma (MG-63) is a type of bone cancer affects mostly adolescents and young adults. Disease-causing microorganisms like Bacillus subtilis, Staphylococcus aureus, Escherichia coli, Klebsiella pneumoniae and Candida albicans pose serious illness in humans. There is a need to develop multifunctional composite to combat cancer and other most common disease caused by disease causing microorganisms. In this context, BaO2 and pluronic F127, L-Ornithine coated BaO2 (BaO2-PF127-LO) composite have been prepared and characterized by XRD, FTIR, UV-Vis, SEM, HRTEM, EDAX, and XPS analytical techniques. BaO2 and BaO2-PF127-LO were orthorhombic crystalline structure and the crystallite size was found as 32nm for BaO2 and 26nm for modified BaO2 PL studies revealed the green emission observed at 506nm for BaO2-PF127-LO composite which is absent in the case of bare BaO2. Antimicrobial activity of BaO2 and BaO2-PF127-LO was investigated. MTT assay was performed to determine the anticancer potential while the DPPH free radical scavenging assay was carried out to determine the antioxidant potential. The experiment study revealed that the BaO2-PF127-LO exhibited enhanced antimicrobial, antioxidant, and anticancer activity and low toxicity when compared to pristine BaO2. The experimental results revealed that the BaO2-PF127-LO composite holds promising potential for biomedical applications. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024. -
Development of big data analytics for intelligent industrial manufacturing based on wireless and IOT technology /
Patent Number: 202141041225, Applicant: Mrs. Vaishali Gajendra Shende.
The global network interconnecting physical devices such as mechanical machines, sensors, computing devices, actuators, objects, smart applications and people is termed as Internet of Things (IoT) which has become significant part of several applications. In industrial applications, abundant amount of data is generated during the manufacturing process, which is heterogeneous, massive and time sensitive bringing substantial challenges in real time data collection, its processing and thereby decision making. In this invention, we develop a novel framework for big data analytics for intelligent industrial manufacturing based on Internet of Things for managing the huge data generated in industries for controlling smart manufacturing and for supporting online process of industrial monitoring. -
Development of an intelligent health monitoring system integrated with mobile application through IOT /
Patent Number: 202041053102, Applicant: Dr.A.Narasima Venkatesh.
An Intelligent health measuring system measures the vital health parameters like blood pressure, heart beat blood sugar, body position and temperature of the user or the patient. The non-invasive sensors are used to measure the health parameters easily without causing any disturbances to the patient or the user. -
Development of an intelligent health monitoring system integrated with mobile application through IOT /
Patent Number: 202041053102, Applicant: Dr.A.Narasima Venkatesh.
An Intelligent health measuring system measures the vital health parameters like blood pressure, heart beat blood sugar, body position and temperature of the user or the patient. The non-invasive sensors are used to measure the health parameters easily without causing any disturbances to the patient or the user. -
Development of an integrated well-being programme for micro, small-and medium-sized enterprise workers in India: A technical note
Workers in Indias micro, small- and medium-sized enterprise (MSME) sector often face a convergence of occupational risks, including long working hours, physical strain, economic insecurity, and limited access to health resources. Despite the sectors critical contribution to national productivity, structured programs addressing the holistic well-being of MSME workers remain scarce. This technical note outlines the development of an integrated well-being intervention designed to enhance physical, psychological, and social health among MSME workers across diverse Indian contexts. Drawing on both indigenous and global practices, the program combines simple yoga-based movements, breathing exercises, and mindfulness techniques with Western approaches such as Jacobsons Progressive Muscular Relaxation (JPMR). The intervention is delivered over two phasesa 21-day facilitator-led group session followed by a 21-day self-practice period to support skill development and habit formation. Designed for scalability and accessibility, the content uses culturally relevant language and experiential activities to ensure engagement in low-literacy and resource-limited settings. This note details the theoretical grounding, content structure, and delivery framework of the program, offering a practical, context-sensitive model that can be adapted for workplace well-being initiatives within the Indian MSME sector. Copyright (c) 2025 The Authors. This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. -
Development of an efficient real-time H.264/AVC advanced video compression encryption scheme
Multimedia is the combination of media such as text, graphics, video clips, and audio files. In todays world, multimedia plays an important role in many applications that we use in our daily lives. It is used in educational software, animation, sound, and text, as well as multi-media software. H.264/AVC video compression is extremely efficient in terms of compression. Despite this, H.264/AVC requires a lot of processing and consumes a lot of power insdespite of the fact that its compression efficiency is lower than that of H.264/AVC. We examine the various methods of Video H.264 Advanced Video Compression Standard Encryption Schemes in this paper. The performance of all types of encryption techniques will be evaluated using parameters such as cost overhead, delay, and encryption quality. This will provide us with a detailed comparative analysis of video encryption schemes, allowing us to determine which one is far more efficient for H.264/AVC. 2021 Taru Publications. -
Development of an Efficient and Secured E-Voting Mobile Application Using Android
Smart technologies, particularly the development of the Internet, are employed to enhance the quality of human existence. Thanks to the Internet's explosive expansion, more and more tasks can now be completed quickly and easily compared to the earlier times. E-voting is a relatively recent field that has been identified. Voting can be conducted in a variety of methods, including in person at a polling place, online, and via a mobile application. The security of applications cannot be disregarded given the internet's explosive growth. In order to prevent phishing attacks, we created an Android application and included a 3-step security process before voting. Students can now vote online from any location at any time using a mobile device. Android Studio is used to create and deploy the application. While creating the voting application, this research adheres to the software development life cycle. The result of this research is the creation of a mobile application that is user-friendly for students and serves as a practical tool for letting them vote with three levels of security. 2022 Anli Sherine et al. -
Development of an AI Based Framework for Reverse Supply Chain of Pharmaceutical Products
The pharmaceutical reverse supply chain is an integral part of pharmaceutical industry. Due to the complex nature of the process and strict government regulations, it is important to use different AI technologies to increase the efficiency of the reverse supply chain. This research aims to design an AI driven framework for reverse supply chain of pharmaceutical products which would increase efficiency, speed, automate processes and enhance trust among the stakeholders. The framework consists of five modules namely Collection and Sorting Centre, Return Management, Real-time Inventory Management, Disposal Centre, and Data Analytics. In each module different AI technologies have been embedded to increase the efficiency of the system. The proposed framework offers a holistic approach that not only aligns with stringent pharmaceutical standards but also contributes to a more robust, transparent, and environmentally sustainable reverse supply chain. The Author(s), under exclusive license to Springer Nature Switzerland AG 2026. -
Development of an Adaptive Mathematical Education System for Middle Grades Using Machine Learning
The aim of the study is to improve the study of mathematics topics for middle school children by developing a software implementation of an adaptive educational system using machine learning. During the research, the topic of quadratic equations was chosen as the basis for the research and development of an adaptive system. During the testing of the adaptive system, mistakes were specifically made to simulate the consolidation of knowledge during the educational process and make sure that it works and is able to adapt to the individual level of each student, increasing the level of knowledge gained and contributing to the consolidation of the material. To achieve this goal, Python code was developed in the Jupyter Notebook development environment. Python libraries were also used, in particular the scikit-learn library for implementing machine learning. The presented approach and software implementation can be used both by teachers to check students and track their progress, and by students themselves to assimilate and consolidate the material and knowledge gained in the lessons. The results obtained during the study demonstrate an increase in the effectiveness of adaptive learning methods using machine learning. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025. -
Development of a VR-Based Solid Waste Management Awareness Platform Utilizing YOLOv12 and MSCNN
Waste management is not an issue concerning an individual but a collective responsibility. It refers to our environment. Our project, 'Solid Waste Management,' verifies the efficacy of virtual reality, a novel learning modality for the user, acquiring knowledge of waste segregation and the right way of waste disposal simulation through virtual reality. The implication of virtual reality's addition into the educational system was analyzed through the acceptance of the model and the acquisition of knowledge through the task performed by the user. The simulation and the environment of virtual reality are implemented through the use of Spatial Awareness, Haptic Simulation, Hand Tracking using HCI, and Immersive Learning Environment for a genuine simulation experience for the user. The simulation environment and software were developed using the Unity environment creating a gamified world using a 3D environment and the Blender software used for the development of the 3D models. The simulation environment's implementation into the various HMD devices also used the OpenXR plugin. The simulation is further segmented into two parts: interior and exterior waste management. This novel simulation technique will not only enable the acquisition of the most requisite skills of waste segregation but also the acquisition of environment knowledge and the promotion of people towards sustainable practices. 2026 IEEE. -
Development of a Thin Layer Chromatography method to detect the presence of spiked Steroid drugs in Herbal Crude extracts
This study aimed to develop a better, faster and more efficient TLC method for detecting steroids in the herbal samples. The steroid drugs dexamethasone and prednisolone were considered possible adulterants and were spiked into herbal extracts of neem and amla. Optimization of the TLC mobile phases for better resolution for prominent visualisation of spots was performed with several combinations of solventsnamely, methanol, chloroform, ethyl acetate, toluene, ethanol, isopropyl alcohol, acetic acid and petroleum ether and, spray reagents such as iodine, potassium permanganate, sulphuric acid and, methanol. The optimal result was obtained using chloroform and methanol (9:1, v/v) as the mobile phase and methanol-sulphuric acid (9:1, v/v) as the spraying agent. The method was also able to separate a mixture of dexamethasone and prednisolone in the ratio of 1:1. The retention factors (Rf) for the steroids dexamethasone and prednisolone were within the range of 0.50-0.55 and 0.73-0.83 respectively. The lowest detection limit for the steroid drugs when mixed with herbal samples (neem and amla) was 0.1 g/ml. The developed TLC method is robust and can be conveniently utilised for detecting steroid adulterants in herbal samples. 2026, World Researchers Associations. All rights reserved. -
Development of a Supported Education Program for Students with Severe Mental Disorders in India
Background: The onset of severe mental disorders (SMDs) is during adolescence or young adulthood, which affects the well-being and the educational aspirations of the students. Models of supported education practiced in the West are not culturally suitable for Indian students or the Indian education system. This study aimed to develop a Supported Education Program (SEP) for students with SMDs to help them with academic reintegration in an Indian context. Methods and Material: To develop the SEP, a realist review was done, followed by an in-depth interview with eight mental health professionals (MHP) and nine lecturers, using a validated interview script. After each interview, interim analysis and modifications were done to improve the rigor of the interview. After all interviews, the SEP was circulated for a second round of iteration for consensual validation by four mental health experts. The outcome of the entire process was the final version of SEP for students with SMDs. Results: The final SEP had two broad themes and 18 subthemes from the qualitative thematic analysis: theme 1 included issues and strategies relevant to the client or caregivers, and theme 2 was pertinent to the education system. Conclusion: The SEP developed and validated for people with SMDs has distinctive components: one for the individual and caregiver and the other for the educational system. 2020 Indian Psychiatric Society - South Zonal Branch. -
Development of a scorecard to measure the satisfaction and happiness in higher education
This study aims to identify and test the antecedents affecting students' satisfaction and its relationship with happiness. A conceptual model was designed with the dimensions such as happiness, recognition, gratitude, physical health, and negative emotion to measure students' satisfaction. Martin Seligman's 'theory of well-being' was employed to measure the happiness of the students. Data was collected from 202 respondents and a structural equation modelling (SEM) approach was employed for analysis. The results of the study indicate that physical health, gratitude, and negative emotion influence the satisfaction of students in higher education. It was found that positive emotion and relationships have a significant influence on the happiness of the students. A relationship between satisfaction and happiness was developed. In extension to the present study's findings, a model and scorecard are proposed that can be used to measure the happiness and satisfaction of students in higher educational institutions in India. 2024 Inderscience Enterprises Ltd.. All rights reserved. -
Development of a natural product-based selective fluorescent sensor for Cu2+ and DNA/protein: insights from docking, DFT, cellular imaging and anticancer activity
The natural product seselin (SS), was synthesized and characterized spectroscopically for the selective detection of Cu2+ and biomolecules such as ct-DNA and BSA. The probe exhibits strong bluish emission in a MeOH-H2O (7 : 3, v/v) HEPES buffer solution (pH 7.4) at 453 nm. Upon exposure to Cu2+, the SS solution shows a selective fluorescence turn-off with a binding constant of 2.13 105 M?1 and a detection limit of 3.48 10?8 M. The HOMO-LUMO energy gap of the probe SS decreases from ?E = 7.97 eV to ?E = 7.77 eV upon binding with Cu2+, indicating enhanced stability due to ligand-metal complex formation. Significantly, the ligand SS exhibits fluorescence enhancement in the presence of ct-DNA and BSA, resulting in a visible fluorescence change from colorless to blue, with binding constants of 4.8 104 M?1 and 4.7 104 M?1, respectively. The binding interactions of SS with biomacromolecules have been explored through molecular docking studies, revealing that the probe can serve as a promising anti-cancer and anti-viral agent. Furthermore, the probe SS demonstrates potent anticancer activity in treatments involving MCF-7 and HLC cells. Additionally, the probe SS is capable of detecting intracellular Cu2+ in live MCF-7 cell lines. 2025 The Royal Society of Chemistry. -
Development of a fluorescent scaffold by utilizing quercetin template for selective detection of Hg2+: Experimental and theoretical studies along with live cell imaging
Quercetin is an important antioxidant with high bioactivity and it has been used as SARS-CoV-2 inhibitor significantly. Quercetin, one of the most abundant flavonoids in nature, has been in the spot of numerous experimental and theoretical studies in the past decade due to its great biological and medicinal importance. But there have been limited instances of employing quercetin and its derivatives as a fluorescent framework for specific detection of various cations and anions in the chemosensing field. Therefore, we have developed a novel chemosensor based on quercetin coupled benzyl ethers (QBE) for selective detection of Hg2+ with naked-eye colorimetric and turn-on fluorometric response. Initially QBE itself exhibited very weak fluorescence with low quantum yield (? = 0.009) due to operating photoinduced electron transfer (PET) and inhibition of excited state intramolecular proton transfer (ESIPT) as well as intramolecular charge transfer (ICT) within the molecule. But in presence of Hg2+, QBE showed a sharp increase in fluorescence intensity by 18-fold at wavelength 444 nm with high quantum yield (? = 0.159) for the chelation-enhanced fluorescence (CHEF) with coordination of Hg2+, which hampers PET within the molecule. The strong binding affinity of QBE towards Hg2+ has been proved by lower detection limit at 8.47 M and high binding constant value as 2 104 M?1. The binding mechanism has been verified by DFT study, Cyclic voltammograms and Jobs plot analysis. For the practical application, the binding selectivity of QBE with Hg2+ has been capitalized in physiological medium to detect intracellular Hg2+ levels in living plant tissue by using green gram seeds. Thus, employing QBE as a fluorescent chemosensor for the specific identification of Hg2+ will pave the way for a novel approach to simplifying the creation of various chemosensors based on quercetin backbone for the precise detection of various biologically significant analytes. 2024 Elsevier B.V. -
Development of a Comprehensive Technology for Analyzing Data on the Used Car Market
In today's information society, organizations face a huge amount of data that requires analysis and intelligent technologies to make informed decisions. In this paper, the authors consider the problem of analyzing the used car market using big and open data technologies. The used car market has characteristics characterized by heterogeneity and dynamic demand depending on the region. This problem is relevant and important not only for companies involved in producing and selling cars but also for potential buyers. The authors developed a comprehensive data analysis technique based on the Python programming language and the K-means clustering algorithm in the research process. In the article, the authors described a comprehensive technology for analyzing the used car market, including various analysis methods, such as prices, offers, and competition. The proposed comprehensive technology includes various tools and programs for collecting, processing, and analyzing data. These methods can be combined into a single system, providing a more complete picture of the market and making more informed decisions. The structure of the study reflects an independent approach to the topic under study based on open data and research by Russian and foreign scientists. It should be noted that the study is based on a large amount of analytical data obtained from reliable sources and tools that confirm the conclusions formulated in this study. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025. -
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Development of ?-carrageenan-based transparent and absorbent biodegradable films for wound dressing applications
Wound healing remains a critical challenge in healthcare, requiring advanced wound dressings with superior properties like transparency, absorbency, and biocompatibility. However, gaps exist in the use of marine-derived biopolymers for sustainable dressings. This study addresses this gap by combining ?-carrageenan (KC) with polyvinyl pyrrolidone (PVP) to develop transparent and absorbent biodegradable films through solvent casting and lyophilization techniques. Lyophilized films exhibited superior absorbency (9.17 g/cm2) and moisture management, with a water vapour transmission rate of 3990.67 g/m2/24 h, while solvent-cast films showed 78 % transmittance, enabling wound visualization. Mechanical testing revealed high tensile strength (31.5 MPa) and folding endurance (410 folds), ensuring durability. In vitro bactericidal assays confirmed efficacy against MRSA and E. coli, and in vivo tests on Wistar rats showed complete wound healing within 16 days with 91.1 % closure, outperforming untreated controls (76.7 %). This is the first study to explore lyophilized KC-PVP films for wound dressing applications, demonstrating potential for drug release, absorbency, and biodegradability. The innovative combination of biopolymers and fabrication techniques offers a sustainable, high-performance solution for wound care. 2024 Elsevier B.V. -
Development challenges for agriculture in Maharashtra
Maharashtra is heralded as one of the economically advanced states, but this illusion crashed under the attack of COVID-19 virus and economic deterioration is expected to follow. It is argued here that the state policy dished out a raw deal to the agricultural sector and set the sector under severe stress. The path of this retrogression, reasons behind the trends and the possible policy platform for the last six decades are traced. Stagnation has gripped the agricultural sector, and it is losing cultivable land to other uses. This is accompanied by a sharp increase in small and marginal holdings. Surprisingly, the state has no agricultural policy document in place and the sector largely depends on only sporadic firefighting approaches with a policy paralysis. 2020 Economic and Political Weekly. All rights reserved. -
Development and validation procedure of the higher educational facilities scale (HEFS)
Purpose: The purpose of this study was to develop and validate a scale to assess the influence of Higher Educational Facilities for the growth of education in higher education institutions. Design/methodology/approach: The first step in the process of scale development is to generate an item pool containing as many items as possible which captures the construct of interest. A total of 111 items were constructed for the initial try-out of the scale measuring the construct of higher educational facilities. This rating scale was based on the Likert-type was designed, where each item had to be rated on a five-point scale. The scale consisted of a few items involving the dimensions of infrastructure, quality assessment and quality assurance regard to the vision actualization. Findings: Higher Educational Facilities Scale (HEFS) was developed by the investigator and designed in the format of a 5-point rating scale of the Likert type. There are different phases identified for the scale construction. In the first phase, items are created and the contents validity is determined. The scale is constructed in the second phase. Pre-testing the questions, administering the survey, reducing the number of items and determining how many factors the scale captures are all steps in the scale construction process. The number of dimensions, reliability and validity are all verified in the third phase, scale evaluation. In developing the scale, the content and face validity was ascertained. The reliability of the scale and its three subscales were established. This scale has potential value for policymakers to assess the perception held by the religious faculty members working in higher education institutions. Originality/value: The research is part of the doctoral thesis by Dr Deepa Thomas under the supervision of Dr Fr. Joseph C. C. and the co-supervision of Dr Kennedy Andrew Thomas. The purpose of the scale is to assess the higher educational facilities of in institutions of higher Education. Quality, excellence and service are the vision and purpose of higher education institutions to provide ample opportunities and good facilities for their beneficiaries, thus creating tremendous changes in the Indian education scenario. 2024, Emerald Publishing Limited.