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Application of response surface methodology to optimize lead(Ii) ion adsorption by activated carbon fabricated from de oiled soya
Lead(II) ion a heavy metal is known for its toxicity. An initiative has been taken in this study, to adsorb toxic lead(II) ion using activated carbon made of de oiled soya, by an aqueous solution through batch adsorption methodology. Adsorption process variables such as adsorbent dose, contact time, solution pH, and lead(II) ion concentration were optimized by central composite design (CCD). To find the interaction between process variables, response surface plots were utilized using response surface methodology. Design-Expert software version 7 was resorted to in this experiment. It was observed that the components from the analysis of variance of the CCD revealed that the selective process independent variables had significant control over adsorption capacity. Desirability function was used to appraise the factors and response in adsorption experiments to find an optimum point where the preferred adsorption could be obtained. Adsorption process with the application of activated carbon developed from de-oiled soya meritoriously removed lead(II) ion with an optimum adsorption capacity of 26.279 mg/g for an initial concentration of lead(II) at 60 mg/L. 2021 Desalination Publications. All rights reserved. -
A critical review of Cr(VI) ion effect on mankind and its amputation through adsorption by activated carbon
A toxic heavy metal is a one which is plausibly dense metal or metalloid that is eminent for its prospective toxicity, particularly in environmental context. Heavy metal poisoning may crop up as an upshot of air or water contamination, exposure to industrial activities, foodstuffs, medicines, coarsely coated food containers, etc. The present review highlights various issues related to the effects of Cr (VI) heavy metal toxicity to human health and its adsorption from wastewater using low cost adsorbents. Many researchers have lay their endeavor to ascertain low-priced adsorbents that are effortlessly available and have power over the sensible adsorption capacity. It is perceptible from the literature survey that the revealed adsorbents have established stupendous removal capabilities for Cr (VI) metal ions. As the convention of heavy metal Cr (VI) is increased, it is implicit that there is a strong need for research to remove Cr (VI) heavy metal ions from wastewater to trim down the problem of soaring anthropogenic pressure and burly tendency to mount up in living organisms. 2020 Elsevier Ltd. All rights reserved. -
Investigation of detoxification nature of activated carbons developed from Manilkara zapota and de oiled soya
Heavy metals are poisonous and detrimental water contaminant. Their existence affects human beings, animals and vegetation as a outcome of their mobility in aqueous ecosystem, toxicity and nonbiodegradability. This work aimed at the development of new adsorbent in the detoxification of heavy metals using Manilkara zapota tree wood and de oiled soya. The study completely focused on the characterization of the developed activation in the view of using it as a adsorbent. The characterization of activated carbon was effected SEM analysis, FTIR, XRD analysis and surface area determination. Both the activation carbon have showed a tremendous characterization in their employability as adsorbent in adsorption of heavy metals in aqueous solution. 2019 Elsevier Ltd. All rights reserved. -
Exclusion of Chromium(VI) Ion in Grueling Activated Carbon Fabricated from Manilkara zapota Tree Wood by Adsorption: Optimization by Response Surface Methodology
The current paper makes obvious the elimination of chromium(VI) ion, from wastewater via adsorption technique with activated carbon generated from Manilkara zapota tree (MZTWAC). Preliminarily MZTWAC has undergone characterization studies which uncovered the suitability of MZTWAC to expel chromium(VI) from aqueous solution. Batch adsorption experimentation was premeditated with the competence of central composite design (CCD) and it was executed. Response surface methodology (RSM) was the key optimization software to appraise the adsorptive chattels of MZTWAC engaged in removing chromium(VI) ion in aqueous solution which explored the interactions flanked between four expounding variables explicitly initial concentration of chromium(VI) ion, pH of the solution, MZTWAC dose and time of exposure, and contact time. The response variable that was concentrated in the study was adsorption capacity. It was deduced a polynomial in quadratic equation was documented amid the adsorption capacity and variables influencing the adsorption with R2=0.9792 which was projected as the best suit for the adsorption process. ANOVA that is expanded as analysis of variance judged the connotation of adsorption process variables. 0.2 g of MZTWAC dosage has removed 87.629% chromium(VI) from aqueous solution. The enhancement of adsorption process reclined on the attainment of maximum adsorption capacity which further depends on the optimization of variables under consideration. This criterion was accomplished by the desirability function optimizing the process variables. 2022 S. Sujatha et al. -
Free vibration studies of box type laterite masonry structures
Vol.39, N0.3, /august -September 2012 pp 332-346 -
Studies on Uniaxial Compressive Strength of Laterite Masonry Prisms
Vol-04, No.02, April ISNN: 0974-5904 -
Harnessing MOF Derived Frustrated Lewis Pair-CeO2 Nano Catalyst for CO2-Activated Soft Oxidation of Furfural to Furoic Acid
CO2 as a soft oxidant is scarcely explored in literature for furfural oxidation to furoic acid, and where CeO2, capitalizes on the synergistic effect of FLPs for enhanced CO2 reduction and furfural oxidation. This study presents a comparative analysis by the synthesis method to produce hydrothermal and MOF-derived CeO2 nanocatalyst and their effect on the formation of oxygen vacancies and metastable Ce3+ ions. The normalized surface concentration derived from XPS At% and specific surface area effectively quantifies accessible Ce3+ sites and oxygen vacancies, capturing FLP sites. Oxygen vacancies near surface Ce3+ sites (FLPs) critically modulated the catalytic performance, and evidenced by high turnover number (TON). FTIR adsorption study revealed that CO2 forms bidentate carbonate species and furfural, bi-coordination via ?2- (C, O) mode on the catalyst surface. Further active site masking strategy helped to understand and validate the crucial role of FLPs. The Central Composite Design model was utilized to optimize the reaction conditions and obtained high furfural conversion (99%) and furoic acid selectivity (99%). The catalyst was resistant to active site leaching and exhibited excellent stability, recyclability, and robustness. The findings highlight a potential pathway for the catalytic soft oxidation of furfural to furoic acid by CO2 utilization. 2025 Wiley-VCH GmbH. -
Utilizing Highly Reactive Lewis Pairs Generated by Oxygen Vacancies in the Cu3Mo2O9 Solid Catalyst for Cycloaddition of CO2 to 1,2-Propanediol
This work emphasizes generating highly reactive Lewis pair sites on CuMo oxides for CO2 activation and utilization in the cyclization reaction to produce propylene carbonate from 1,2-propanediol. The CuMo oxides were synthesized by enabling the oxygen vacancies that enhance the catalytically active sites, resulting in the formation of metastable cations (Mo5+ and Cu1+) and oxygen vacancies. Under ethanol-PEG-400 medium, the pure phase of Cu3Mo2O9 obtained at 500 C exposed maximum defects without any secondary phase compared to other screened catalysts. The experimental and theoretical investigations provide evidence for determining and correlating the characteristics of active sites with catalytic performance. The catalysts were extensively characterized along with density functional theory (DFT) studies, which revealed the presence of defect centers as one of the key factors in the enhanced activity. From the chemical bonding analysis, i.e., Crystal Orbital Hamiltonian Population (COHP) and Electron Localization Function (ELF), the CO2 molecule is known to form a strong chemisorption interaction with the catalyst surface that is facilitated by the oxygen vacancy/Lewis pairs. The Cu-Mo oxide catalyst achieved 99% conversion of 1,2-propanediol and 97% yield of propylene carbonate, outperforming previously reported catalysts. Thus, Cu-Mo oxide was shown to be highly efficient catalyst with good recyclability for 1,2-propanediol and the CO2 reaction. 2025 American Chemical Society. -
Global Trade and Food Security
Global trade can increase food availability and improve food security by facilitating food movement between countries and regions. However, it also poses challenges to food security, including the displacement of small-scale farmers and food producers, food safety risks, dependence on imports, and the distortion of global trade through agricultural subsidies. To ensure food security in global trade, a coordinated and multi-sectoral approach is needed that promotes sustain-able and equitable food systems, local food production, and food safety. Addressing these challenges is critical for ensuring the adequacy and accessibility of sufficient, safe, and nutritious food while fostering economic development and environmental sustainability. Economic development and government policies are crucial deter-minants of a countrys ability to engage in global trade and ensure food security. Climate and weather patterns, agricultural practices, infrastructure and transporta-tion, and market demand influence food security significantly. Furthermore, interna-tional conflicts disrupt trade and impact food security. Policymakers must consider all these factors while developing policies promoting trade and ensuring food secu-rity. To solve these complicated concerns and promote sustainable agriculture and trade practices, governments, international organizations, and the corporate sector must work in concert to improve food security. Food security has a significant impact on global trade, as the availability and accessibility of food directly affect a countrys ability to engage in international trade. When a country experiences food shortages may reduce or halt its exports, causing a ripple effect in the global economy and leading to higher food prices and insecurity in other countries that rely on imported food. Nevertheless, economies with high levels of food security and surplus food production are better positioned to engage in global trade. They export food to other countries, generating revenue and supporting economic growth by creating trade barriers, as importing countries may reject or restrict such food products, nega-tively impacting global trade. In addition to the economic impacts, food security also has broader societal and environmental implications. For example, food insecu-rity can lead to malnutrition, affecting individuals physical and cognitive develop-ment, particularly children. Moreover, unsustainable agricultural practices can lead to environmental degradation, affecting biodiversity, soil quality, and water resources, affecting food security. The determinants of food security in global trade and its impact are analyzed in this chapter. Since food security is an essential factor in inter-national trade, impacting trade flows, economic growth, and public health. Promoting sustainable agriculture and trade practices and building robust food security systems can support a more resilient and equitable global food system, benefiting producers and consumers. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024. -
Navigating the digital frontier: Trends, innovation, and challenges in industry 5.0
Industry 5.0 is a shift in industrial processes involving robots and AI, enhancing efficiency and customization. International organizations are implementing Industry 5.0, leveraging cognitive virtual minds, AI, additive technologies, and 5G networks. However, Industry 5.0 presents challenges such as job displacement by low adaptability machines and requires substantial investments to transform existing industrial setups. Creative thinking, cybersecurity, and human-machine collaboration are essential for overcoming these challenges. Cyber-Physical system integration, cybersecurity, IoT, AI, and human-machine collaboration are key strategies. Continuous learning, virtual training, and digital twin technology are essential for a skilled workforce. Collaboration is essential for tackling complex digital issues, and organizations must anticipate future trends and prepare for technological breakthroughs. Ethical thinking and responsible AI practices are also crucial. Industry 5.0 is a transformative journey involving advanced technologies into manufacturing processes. 2024, IGI Global. All rights reserved. -
Indias Outward FDI: Macro-economic Determinants of Home Country
Nevertheless, a gap in the literature remains on the choice of investment destination and rationale backing the investment of Indian MNEs. The study examines the diverse home country determinants of outward FDI from low-and middle-income economies also the motive behind the investment of MNEs, which gained little attention in empirical studies. The role of home country determinants investigated for the most recent period, 1991-2019, using a panel data econometric framework. Results indicate that the home country's economic development level, globalization, political risk and science and technology investments significantly correspond to outward FDI from low-and middle-income countries. The present study analysis recommended that low and middle income governments provide incentivesto attract and retain FDI. Indian Institute of Finance. -
Transformation of India as investor of outward fdi: A systematic investigation of literature
Besides the economic transformation and industrial up-gradation, Indian enterprises have steadily intensified their overseas investment venture during recent years. A systematic literature review performed to inspect the strategic motives and Outward FDI (OFDI) impact on emerging economies like India. This paper explores relevant theories, strategic rationale, and economic policies that propel the present OFDI trend from India. The effort taken by the Indian government to promote innovations were Cross border commercial and industrial collaboration. These efforts flagged the way for more Outward FDI possibilities in the future (Welch, 1988). This study comprises the literature works till the year 2019, which includes research journals and reports. The analysis observes that knowledge-based industries drive India's Outward FDI and examine whether knowledge-based industries contribute to sustaining long-term domestic and international growth (Pradhan J.P., 2005; Narayanan, 2016). Indian Institute of Finance. -
Urbanization and the impact on economic development
Urbanization is a global trend that has both positive and negative impacts on economic development. Urban areas are hubs of innovation, investment, and job creation, leading to increased productivity and economic growth. It also brings challenges such as rapid population growth, environmental degradation, and social inequality. Industrialization, closely linked to urbanization, drives economic growth but leads to environmental and social issues. Balancing the benefits of industrialization with sustainable development and social inclusion is crucial. Policymakers ensure that economic growth is shared equitably, and develop environmentally and socially sustainable. Urbanization poses challenges in terms of strained infrastructure, inadequate housing, and social exclusion. These challenges need to be addressed through comprehensive approaches, including investments in infrastructure, education, social welfare, and sustainable urban design. Government, civil society, and private sector partnerships play a vital role in promoting inclusive and sustainable economic growth. 2023, IGI Global. All rights reserved. -
Comparative Study on GANs and VAEs in Credit Card Fraud Detection
In today's world, the major issue credit card sectors encounter is fraud. This comparative study deals with how GANs and VAEs detect fraudulent transactions. The dataset comprised 284807 transactions, of which 492 were fraudulent. These two models, GANs and VAEs, are trained on this dataset, during which, in the training process, the models are learned to deal with the imbalance in the dataset. VAEs are trained so that fraud transactions are considered anomalies, and only legitimate transactions are passed onto the model for training. Conversely, GANs generate synthetic data of fraud by addressing the problem of data imbalance and passed on to the ML model for classification. We can observe that Both the models have very good AUC-ROC scores of around 96%, which indicates their distinguishing capability between the classes. In all other aspects, GANs outperformed VAEs, which makes GANs a better option for fraud detection. 2024 IEEE. -
Bridging Signs to Sentences: Enhancing Sign Language Interpretation
This paper mainly focuses on bridging the gap between sign language recognition (SLR) and sentence formation by integrating the recognition of different signs or machine learning models with large language models (LLMs), which results in contributing and enhancing the communication of the deaf community. There are around 466million deaf individuals worldwide, where they primarily rely on Sign language for communication. Current SLR technologies have certain limitations that deal with difficulty in sentence formation and high processing requirements. This papers dataset consists of 36 classes, where 26 of them are alphabets, and the rest 9 are numbers, each consisting of 500 images. Therefore, a total of 18,000 images are present in the dataset for accurate prediction of sign languages. MediaPipe, developed by Google, is used as a tool for feature extraction by identifying 21 hand landmarks. The features extracted are then passed onto an ML model (like a Random Forest), and then the result of this model is passed on to an LLM (here, Groqs Gemma-7b-it) that forms a sentence based on the predictions. The ML model achieved a high accuracy of 99.54% and the LLMs achieved an accuracy of 93.75%. With the combination of sign language recognition and advanced modeling, this work helps to bridge signs to sentences, providing to the deaf community. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2026. -
An efficient adaptive reconfigurable routing protocol for optimized data packet distribution in network on chips
The deadlock-free and live lock-free routing at the same time is minimized in the network on chip (NoC) using the proposed adoptive reconfigurable routing protocol (ARRP). Congestion condition emergencies are avoided using the proposed algorithm. The input packet distribution process is improved among all its shortest paths of output points. The performance analysis has been initiated by considering different configuration (N*N) mesh networks, by sending various ranges of data packets to the network on chip. The average and maximum power dissipation of XY, odd-even, Dy-XY algorithm, and proposed algorithm are determined. In this paper, an analysis of gate utilization during data packet transfer in various mesh configurations is carried out. The number of cycles required for each message injection in different mesh configurations is analyzed. The proposed routing algorithm is implemented and compared with conventional algorithms. The simulation has been carried out using reconfigurable two-dimensional mesh for the NoC. The proposed algorithm has been implemented considering array size, the routing operating frequency, link width length, value of probability, and traffic types. The proposed ARRP algorithm reduces the average latency, avoids routing congestion, and is more feasible for NoC compared to conventional methods. 2024 Institute of Advanced Engineering and Science. All rights reserved. -
A review on the scope of using calcium fluoride as a multiphase coating and reinforcement material for wear resistant applications
Solid lubricants play a vital role in the smooth and safe operation of many tribological industrial applications like cutting and forming tools, rolling and sliding contact bearings, gears, cams and protective coating in gas turbine engines for aerospace applications. Generally liquid lubricants are widely used for reducing the friction between the contacting parts which reduce the wear rate and increase the life of the parts. However, these liquid lubricants become useless when they are exposed to high temperature, high pressure and vacuum environmental conditions. Solid lubricants are those materials that can suitably reduce the friction and wear between the contacting or sliding surfaces that are in extreme environments like low and high temperature and pressure. Among the different types of solid lubricants, calcium fluoride is widely used owing to its excellent lubricity at elevated temperature. This paper initially describes the criteria for selecting solid lubricant and provides a comprehensive summary on calcium fluoride solid lubricant which can be used as a coating material in various high temperature metal and ceramic matrix composites for wear resistant applications. Further, investigations related to the selection of optimized coating parameters, synerging multiphase solid lubricants and soft metals with optimal percentage, selection of filler materials, mismatch in coefficient of thermal expansion and its impact on coating life are summarised and discussed. Finally, the scope of synthesizing calcium fluoride solid lubricant from discarded eggshell powders is explored. 2022 Elsevier Ltd. All rights reserved. -
Corrosion studies on low-cost solid lubricant coated stainless steel specimen
AISI 304 stainless steel is widely used in industries owing to its many desirable qualities like excellent formability, drawability and resistance to corrosion. However, AISI 304 stainless steel corrodes when exposed to halide environment such as chloride and fluoride. This study is primarily focused to assess the anti-corrosion properties of AISI 304 steel when coated with CaF2 solid lubricant. CaF2 solid lubricant was synthesized from the discarded egg-shells by ion exchange method by treating the egg-shell powder with hydrogen fluoride solution. Thermal spray coating method was used to coat the synthesized CaF2 solid lubricant on the AISI 304 stainless steel specimen. Slurry erosion test and electrochemical impedance spectroscopy test were conducted on the coated and uncoated specimen to assess the corrosion resistance. From the experimental results, the corrosion rate of the coated specimen was found to be very effective compared to the uncoated specimen. 2023 Elsevier Ltd. All rights reserved. -
Experimental and finite element analysis of thermal stress on thermal spray coated AISI 304 stainless steel specimen using low cost solid lubricant
The scope of this work is to investigate the thermal stress on the CaF2 coated AISI 304 stainless steel substrate using both finite element analysis and experimental method. The influence of temperature and coating thickness on the thermal stress was investigated by conducting the test at different temperatures ranging from 100C to 1000C and by varying the coating thickness at 250, 350 and 450m. Stoneys equation was then used to investigate the thermal stress analytically and the finite element analysis results were then compared with the analytical results. From the experimental results it was found that the specimen coated with 450m coating thickness has better resistance to thermal stress compared to other samples taken for investigation. The experimental results were then validated to confirm the effectiveness of the coating thickness by conducting a confirmation test using thermal shock test to validate the results experimentally. The samples after the thermal shock test were examined using SEM, revealing numerous cracks, voids and peel off of the coating as the major reason for higher thermal stress on samples coated with 250 and 350m. The Author(s), under exclusive licence to Springer-Verlag France SAS, part of Springer Nature 2023. -
DNA-based authentication to access internet of things-based healthcare data
Data security and privacy are always considered as critical aspects, especially in healthcare. The advent of technologies such as the Internet of Things (IoT) has encouraged a great deal of attention in this digital era and helped to improve e-health services. IoT-based services in healthcare and their applications have led to potential growth of quality services in healthcare. However, the sensitive nature of healthcare data and IoT devices which store and collect real-time data makes it even more vulnerable to various attacks. With the development of digitalized data and IoT-based e-health systems, authentication mechanisms are essential to ensure both usability and security. Considering these aspects, a novel, secure user authentication scheme is proposed that uses user ID, unique ID (AADHAAR), password, DNA steganography, and hash function. An One Time Password method is also proposed to strengthen the device authentication. The Scyther tool is used for security analysis and to validate the claims. 2021 Elsevier Inc. All rights reserved.