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Nonlinear optical studies of sodium borate glasses embedded with gold nanoparticles
Optical glasses possessing large third-order optical nonlinear susceptibility and fast response times are promising materials for the development of advanced nonlinear photonic devices. In this context, gold nanoparticle (NP)-doped borate glasses were synthesized via the melt-quench method. The nonlinear optical (NLO) properties of thus prepared glasses were investigated at different wavelengths (i.e., at 532nm using nanosecond pulses, at 750nm, 800nm, and 850nm wavelengths using femtosecond, MHz pulses). At 532nm, open aperture (OA) Z-scan signatures of gold NP-doped borate glasses demonstrated reverse saturable absorption (RSA), attributed to mixed intra-band and interband transitions, while in the 750?850nm region, the OA Z-scan data revealed the presence of saturable absorption (SA), possibly due to intra-band transitions. The NLO coefficients were evaluated at all the spectral regions and further compared with some of the recently reported glasses. The magnitudes of obtained NLO coefficients clearly demonstrate that the investigated glasses are potential materials for photonic device applications. 2018, Springer-Verlag GmbH Germany, part of Springer Nature. -
Impact of Demographicson Green Behavior
The need to preserve the environment, lower pollution levels, expand the amount of green space, and encourage environmentally responsible behavior has grown in recent years, all of which will contribute to a more sustainable society. This study seeks to determine the probability that demographic variables of students in higher education in Delhi NCR will influence their desire to participate in environmental education. Binary Logistics Regression has been used on the data gathered from 302 respondents and the model has been found to have been a good one as shown by Omnibus Test. It is found that 'Gender' and 'Field of Study' are the two most significant variables, which have a higher probability impact on students' willingness to join environmental education. Specifically, female students vis-vis male students and students with engineering & and science background vis-vis other students have more chance of joining environmental education courses. 2024 IEEE. -
Green Minds, Green Future: Impact of Environmental Education on Students Attitudes and Intentions
The objective of this research is to examine the effect of environmental education on green behavior mediated through environmental awareness, environmental attitude, and behavioral intentions, as mediating variables. The sample population comprised of the students of various universities of Delhi, National Capital Region (NCR), as this region of the country has the highest level of environmental pollution and therefore it is the most appropriate population for this study. One thousand questionnaires were shared among students of Delhi, NCR via Google Form out of which 689 responses were received and analyzed using structural equation modeling (SEM). The results exhibited the association between environmental education and green behavior which was significantly mediated by awareness, attitude, and behavioral intention. The findings of the study have implications for both research and practice. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024. -
A study on the impact of brand preference and furniture on consumer preference of coffee houses
The food and beverage industry in India is developing at a rapid pace. These changes need to be met by the various sectors and runners in the business to be able to satisfy their customers. This statement applies most importantly for the coffee house industry, as today consumers are looking to use these spaces for different purposes. The study revolves around the coffee houses in Bangalore, India. The social aspects of the food and beverage industry, inclined towards coffee houses will be studied with various elements. It aims at studying the impact of elements including music, brand preference, taste preference, furniture, lighting and crown, on consumer preference to visit a coffee house. A total of 371 responses were collected, which included corporate and students residing in Bangalore. 2019 by Advance Scientific Research. -
Biosynthesis of zinc oxide nanoparticles mediated by Strobilanthes hamiltoniana: Characterizations, and its biological applications
Nanoparticles of Zinc oxide (ZnONPs), has a variety of applications such as antibacterial property, water treatment for pollutant removal, and as catalysts for organic reactions etc. and have been synthesized utilizing a variety of approaches, including green synthesis, chemical precipitation, solgel, hydrothermal synthesis, and microwave-assisted synthesis. In the present work, easy and economically viable ZnONPs were synthesized utilizing Strobilanthes hamiltoniana (SH) leaf extracts. Phytochemicals form S. hamiltoniana act as agents for reducing and capping the metal oxide ions. A range of analytical and microscopic techniques have been used to investigate the physical and chemical properties of ZnONPs. At 360 ?nm, green synthesized SH-ZnONPs showed robust UVVis absorption. The nanosize, shape, and crystalline structure of SH-ZnO NPs were characterized using XRD and electron microscopy techniques. Using SH-ZnO NPs, the photocatalytic activity of textile dyes such as Reactive blue 220 (RB-220), Reactive blue 222A (RB-222A), Reactive yellow 145 (RY-145) and Reactive yellow 86 (RY-86) dyes showed degradation efficiency of 97.3%, 78.57%, 88.88%, and 83.33% after 320 ?min. ZnONPs exhibited remarkable antibacterial effectiveness against bacterial and fungal pathogens using the Minimum inhibitory concentration approach. Their MIC values were calculated, and free radical scavenging experiments showed antioxidant activity. The SH-ZnONPs were validated using HepG2 (IC50) cancerous cells lines and showed promising anti-cancer activity. These results revealed that SH-ZnO NPs had promising benefits that could be utilized as a viable therapeutic candidate. 2023 The Author(s) -
Photocatalytic Degradation of Toxic Textile Dyes by Biosynthesized Silver Nanoparticles Synthesized from Strobilanthes hamiltoniana Leaf Extract
Biocompatible nanoparticle synthesis from Strobilanthes hamiltoniana leaf extracts is an ecologically friendly, cost-effective and long-lasting technique for wastewater treatment, particularly for textile dye degradation. S. hamiltoniana mediated silver nanoparticles (SH-Ag NPs) showed a maximum absorbance of 432 nm. Based on the FESEM analysis, the SH-Ag NPs were usually spherical with an average diameter of nm. The FTIR analyses revealed the significance of functional groups in the formation of SH-Ag NPs. Degradation and rate of degradation for textile dyes after 320 min, SH-Ag NPs displayed 88.4%, 79.49%, 0.0059 min-1 and 0.00495 min-1 for reactive blue 220 (RB-220) and reactive blue 222A (RB-222A) dyes. The phytotoxicity study of SH-Ag NPs treated dye solutions demonstrated a significant decrease in inhibitory efficiency when compared to dye effluents. The biosynthesized SH-Ag NPs could represent a viable catalyst alternative for treating textile dye degradation both before and after it enters aquatic environments. 2024 Asian Publication Corporation. All rights reserved. -
Eco-conscious photocatalytic degradation of organic textile dyes using green synthesized silver nanoparticles: a safe and green approach toward sustainability
Green synthesized nanoparticles from Strobilanthes barbatus leaf extracts are environmentally safe and feasible for enduring wastewater treatment, especially for organic textile dye degradation. The synthesized Strobilanthes barbatusmediated silver/silver-oxide nanoparticles (SB-Ag/AgO NPs) showed maximum absorbance at 428nm. The SB-Ag/AgO NPs were generally spherical with an average diameter of 37.59nm (FESEM and TEM analysis). The importance of functional groups in the production of SB-Ag/AgO NPs was recorded by FTIR investigations. In the degradation and rate of degradation for textile dyes, after 320min, SB-Ag/AgO NPs displayed 96.60% (5.31 10?1 L mg?1min?1) and 87.50% (1.179 10?1 L mg?1min?1) degradation of Reactive Blue 220 (RB-220) and Reactive Blue 222A (RB-222A), respectively. When compared to dye effluents, SB-Ag/AgO NPs-treated dye solutions revealed a considerable decrease in inhibitory efficiency during phytotoxicity evaluation on test organisms, Vigna radiata and Artemia salina. The biosynthesized SB-Ag/AgO NPs could serve as a feasible photocatalyst for the treatment of organic textile dyes in organic substancepolluted water ecosystems. SB-Ag/AgO NPs can serve as efficient, cost-effective and environmentally friendly sources for dye degradation. The current research offers a safe and environmentally friendly strategy for sustaining the environment. 2024, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature. -
Nano-technological interventions in crop production a review
Agricultural industry is facing huge crisis due to fast changing climate, decreased soil fertility, macro and micronutrient insufficiency, misuse of chemical fertilizers and pesticides, and heavy metal presence in soil. With exponential increase in world's population, food consumption has increased significantly. Maintaining the production to consumption ratio is a significant challenge due to shortage caused by various issues faced by agricultural industry even withthe improved agricultural practices. Recent scientific evidence suggests that nanotechnology can positively impact the agriculture sector by reducing the harmful effects of farming operations on human health and nature, as well as improving food productivity and security. Farmers are combining improved agricultural practices like usage of fertilizers, pesticides etc. with nano-based materials to improve the efficiency and productivity of crops. Nano technology is also playing a significant role improving animal health products, food packaging materials, and nanosensors for detecting pathogens, toxins, and heavy metals in soil among others. The nanobased materials have improved the productivity twice with half the resources being utilized. Nanoparticles that are currently in use include titanium dioxide, zinc oxide, silicon oxide, magnesium oxide, gold, and silver used for increasing soil fertility and plant growth. Crop growth, yield, and productivity are improved by controlled release nanofertilizers. In this review we elaborate on the recent developments in the agricultural sector by the usage of nanomaterial based composites which has significantly improved the agricultural sector especially how nanoparticles play an important role in plant growth and soil fertility, in controlling plant diseases by the use of nanopesticides, nanoinsecticides, nanofertilizers, Nanoherbicides, nanobionics, nanobiosensors. The review also highlights the mechanism of migration of nanoparticles in plants and most importantly the effects of nanoparticles in causing plant and soil toxicity. 2023, Prof. H.S. Srivastava Foundation for Science and Society. -
Unlocking the potential of biosynthesized zinc oxide nanoparticles for degradation of synthetic organic dyes as wastewater pollutants
The azo dyes released into water from different industries are accumulating in the water bodies and bioaccumulating within living systems thereby affecting environmental health. This is a major concern in developing countries where stringent regulations are not followed for the discharge of industrial waste into water bodies. This has led to the accumulation of various pollutants including dyes. As these developing countries also face acute water shortages and due to the lack of cost-effective systems to remove these pollutants, it is essential to remove these toxic dyes from water bodies, eradicate dyes, or generate fewer toxic derivatives. The photocatalysis mechanism of degradation of azo dyes has gained importance due to its eco-friendly and non-toxic roles in the environment. The zinc nanoparticles act as photocatalysts in combination with plant extracts. Plant-based nanoparticles over the years have shown the potential to degrade dyes efficiently. This is carried out by adjusting the dye and nanoparticle concentrations and combinations of nanoparticles. Our review article considers increasing the efficiency of degradation of dyes using zinc oxide (ZnO) nanoparticles and understanding the photocatalytic mechanisms in the degradation of dyes and the toxic effects of these dyes and nanoparticles in different tropic levels. 2021 The Authors -
Environmentally sustainable zinc oxide nanoparticles for improved hazardous textile dye removal from water bodies
A sustainable, affordable, and cost-effective method was developed to synthesize zinc oxide nanoparticles (SB-ZnO-NPs) using leaf extracts of Strobilanthes barbatus. The synthesized SB-ZnO-NPs displayed an absorbance maximum at 359 nm with a band gap of 3.24 eV. The average diameter of the SB-ZnO-NPs, as determined by FESEM analysis, was 84.23 nm. The particles had nearly spherical morphologies. By using FTIR analysis, it was established that functional groups played a part in the formation of SB-ZnO-NPs. Reactive Yellow 86 (RY-86) and Reactive Yellow 145 (RY-145) textile dyes were degraded by SB-ZnO-NPs under the impact of UV irradiation, and the degradation rates were 87.50 and 91.11%, respectively, in 320 min. When dye solutions treated with SB-ZnO-NPs were tested for phytotoxicity, the results showed a sharp decline in the effectiveness of the inhibition compared to dye effluents. The synthesised SB-ZnO-NPs can, therefore, be employed as a substitute potential catalyst for the breakdown of textile colours both before and after release into water bodies. 2023 The Author. -
Dynamical analysis fractional-order financial system using efficient numerical methods
The motivation of this work is to analyse the nonlinear models and their complex nature with generalized tools associated with material and history-based properties. With the help of well-known and widely used numerical scheme, we study the stimulating behaviours of the financial system in this work. The impact of parameters on price index, rate of interest, investment demand, influence changes and investment cost with respect to saving amount, and the elasticity of commercial markets demand are discussed. The consequences of generalizing the model within the arbitrary order are derived. The existence of the solution for the considered system is presented. This study helps beginner researchers to investigate complex real-world problems and predict the corresponding consequences. 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. -
Modified PredictorCorrector Method for the Numerical Solution of a Fractional-Order SIR Model with 2019-nCoV
In this paper, we analyzed and found the solution for a suitable nonlinear fractional dynamical system that describes coronavirus (2019-nCoV) using a novel computational method. A compartmental model with four compartments, namely, susceptible, infected, reported and unreported, was adopted and modified to a new model incorporating fractional operators. In particular, by using a modified predictorcorrector method, we captured the nature of the obtained solution for different arbitrary orders. We investigated the influence of the fractional operator to present and discuss some interesting properties of the novel coronavirus infection. 2022 by the authors. Licensee MDPI, Basel, Switzerland. -
REGARDING NEW NUMERICAL RESULTS for the DYNAMICAL MODEL of ROMANTIC RELATIONSHIPS with FRACTIONAL DERIVATIVE
The main purpose of the present investigation is to find the solution of fractional coupled equations describing the romantic relationships using q-homotopy analysis transform method (q-HATM). The considered scheme is a unification of q-homotopy analysis technique with Laplace transform (LT). More preciously, we scrutinized the behavior of the obtained solution for the considered model with fractional-order, in order to elucidate the effectiveness of the proposed algorithm. Further, for the different fractional-order and parameters offered by the considered method, the physical natures have been apprehended. The obtained consequences evidence that the proposed method is very effective and highly methodical to study and examine the nature and its corresponding consequences of the system of fractional order differential equations describing the real word problems. 2022 The Author(s). -
Geraniol and Citral as potential therapeutic agents targeting the HSP90 activity: An in silico and experimental approach
Lemongrass essential oil has antifungal and anti-cancerous properties. Heat-shock protein (HSP90), an ATP-dependent molecular chaperone found in eukaryotes, is involved in protein folding, stability, and disease, making it a promising research topic. Both in silico and in vitro approaches were used to provide a clear insight into the HSP90-ATPase 3D structures, activity, and their interaction with the essential oil constituents among various species such as fungi (S. cerevisiae), parasites (P. falciparum), and humans. For in silico studies, sequence alignment, docking (AutoDock), and absorption, distribution, metabolism, and excretion (ADME) properties were evaluated to obtain hit compounds specifically against each HSP90-ATPase. The hit compounds obtained were evaluated for their efficacy in the in vitro studies of S. cerevisiae. In vitro studies were carried out targeting HSP90-ATPases via lemongrass essential oil components individually and in combination as a function of concentration and various salt concentrations. Results suggest that sequence alignment exists of over 75% among these three species. The best docking score was possessed by Geraniol and its constituent (geldanamycin ? ?4.93 kcal/mol) (a known antifungal and antitumor against HSP90) in all the above species. Lemongrass oil and the combination of Geraniol and Citral at concentrations of 80 ?g/mL showed the maximum inhibition of ATPase and HSP90-ATPase activity compared to their individual treatment. Therefore, both in silico and in vitro studies provide clear evidence of specific inhibitory action of lemongrass oil, Geraniol, and Citral against the ATPase and HSP90ATPase activities and might show potential as antifungal and antitumor drugs. 2021 -
Conclusion
[No abstract available] -
Knee-Osteoarthritis Detection Using Deep Learning
Arthritis is a condition that causes pain, stiffness, inflammation, and other symptoms in one or more joints. It is more common in older adults and tends to worsen with age. There are different types of arthritis, but osteoarthritis is the most prevalent. A study discusses the use of Convolutional Neural Networks (CNN) for detecting knee osteoarthritis. CNN is a deep learning algorithm that can analyze data and classify images accurately, like the human brain. The purpose of this study is to classify different knee X-ray images to predict the severity of the disorder, allowing for early detection and lifestyle changes to prevent the disease from worsening. An online tool has been developed to diagnose knee osteoarthritis and provide remedies based on various K-grade predictions. This tool can help patients understand their knee's condition and take necessary measures to manage the disease. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. -
A study investigating the role of economic uncertainty and factors affecting futures indices mispricing
In this paper, we investigate (a) what are the factors that affect the mispricing in benchmark and sectoral indices; (b) the role of economic policy uncertainty (EPU) on the mispricing in future indices; and (c) is there any relationship between the magnitude of mispricing in future indices and the number of factors affecting it. The study deploys regression analysis on the 6930 observations during the period of 2009-2019 for three major indices i.e., Nifty, Nifty Bank and Nifty IT respectively. The study reports that (a) time to maturity and lag of mispricing affect all three indices positively whereas open interest affects Nifty Bank and Nifty IT negatively and spot volume affects only Nifty IT positively; (b) EPU affects positively to all three indices, reflecting that uncertainty increases the mispricing in the stock market; (c) magnitude of the mispricing is directly related to the number of factors affecting that mispricing. Copyright 2022 Inderscience Enterprises Ltd. -
Impact of Climate Change on Social and Mental Well-Being
Impact of Climate Change on Social and Mental Well-Being, increases the awareness and understanding of how global climate change, including natural disasters, loss of habitat, and displacement can affect social and mental well-being. This book provides valuable insights into the connection between environmental issues and mental health, and the long-term implications of these issues. Sections dedicated to adaptation and solutions, offer coping mechanisms and strategies for eco-anxiety and climate grief. This book also explores the social, economic, and political factors that contribute to climate change and how these factors impact human well-being. 2025 Elsevier Inc. All rights are reserved including those for text and data mining AI training and similar technologies. -
Natural Language Processing and Information Retrieval: Principles and Applications
This book presents the basics and recent advancements in natural language processing and information retrieval in a single volume. It will serve as an ideal reference text for graduate students and academic researchers in interdisciplinary areas of electrical engineering, electronics engineering, computer engineering, and information technology. This text emphasizes the existing problem domains and possible new directions in natural language processing and information retrieval. It discusses the importance of information retrieval with the integration of machine learning, deep learning, and word embedding. This approach supports the quick evaluation of real-time data. It covers important topics including rumor detection techniques, sentiment analysis using graph-based techniques, social media data analysis, and language-independent text mining. Features: Covers aspects of information retrieval in different areas including healthcare, data analysis, and machine translation. Discusses recent advancements in language- and domain-independent information extraction from textual and/or multimodal data. Explains models including decision making, random walk, knowledge graphs, word embedding, n-grams, and frequent pattern mining. Provides integrated approaches of machine learning, deep learning, and word embedding for natural language processing. Covers latest datasets for natural language processing and information retrieval for social media like Twitter. The text is primarily written for graduate students and academic researchers in interdisciplinary areas of electrical engineering, electronics engineering, computer engineering, and information technology. 2024 selection and editorial matter, Muskan Garg, Sandeep Kumar and Abdul Khader Jilani Saudagar chapters. -
Self-assembled free nanocarrier prodrugs based on camptothecin and dihydroartemisinin exhibit accumulation and improved anticancer efficacy
Small molecule targeted inhibitor therapies often have several drawbacks, including limited oral bioavailability, quick metabolism, toxic effects that limit dosage, and poor water solubility. This study aims to develop a nanodrug self-delivery system that does not require a carrier by utilizing the self-assembly of camptothecin (CPT) and dihydroartemisinin (DHA). CPT/DHA nanoparticles (NPs) with varying diameters can be synthesized without requiring further carrier materials or chemical modifications by changing the CPT-to-DHA ratio (10:1, 5:1, 2:1, 1:1). Even more crucially, CPT/DHA NPs generate an AIE impact when they self-assemble. CPT/DHA NPs are used for cell tracking and bioimaging fluorescent probes. We chose CPT/DHA NPs (2:1) with a size of approximately 140nm for the anticancer examinations. The A549 cells were used to assess the cytotoxicity, morphological changes by biochemical staining methods and apoptosis by flow cytometric techniques of CPT/DHA NPs. Finally, in vitro anticancer research proved that CPT/DHA NPs are biocompatible and have strong synergistic anticancer properties. 2024 International Union of Biochemistry and Molecular Biology, Inc.