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Inorganic Nanoparticles in Cosmetics
Inorganic nanomaterials of different chemical compositions and morphologies have been applied in cosmetic products due to their size- and shape-dependent properties which can improve the performance of the products. This chapter discusses the application of inorganic nanoparticles in cosmetic products with an emphasis on the characteristic features of nanoparticles suitable for cosmetic applications. In particular, applications of inorganic nanoparticles as UV filters and antimicrobial materials are discussed in detail with a basic overview of the fundamental scientific basis related to these applications. Types of nanoparticles used in commercial cosmetic products are enlisted, reflecting the range of applications and property modifications. Applications of inorganic nanoparticles in cosmetic formulations as active components and nanocarriers are also discussed along with relevant examples. Springer Nature Switzerland AG 2019. -
Monetary policy announcement and stock price behaviour: An event study with respect to India
Monetary policy in a developing country plays a significant role in achieving the objectives of macroeconomic policies. The Central Bank formulates and implements the monetary policy in a country which in turn facilitates the increase in growth rate, manages interest rates, and money supply in the economy. The primary objective of this paper is to test the semi-strong form of Efficient Market Hypothesis in the Indian Stock Market with respect to financial services industry by conducting an event study. The monetary policy announcements made from 11th March 2016 to 30th August 2019 are taken as the events. The event study methodology is conducted on 13 financial service companies listed in NSE Financial Services Index. The Average Abnormal Return (AAR) and Cumulative Average Abnormal Return (CAAR) are estimated using the daily closing price of the sample companies and Nifty. Two sample T-statistics are used to find the significance of the returns generated. The t-values of a majority of AARs and CAARs are significant suggesting that there is a scope for generating abnormal return by the investors on the event of the monetary policy announcement. It is found that the investors are able to earn abnormal profits which indicate that the Indian stock market is not efficient in the semi-strong form due to the slow absorption of information. IJSTR 2020. -
THE FEDERAL DYNAMICS OF INDIAN FOREIGN POLICY: Issues, Concerns and Trends
Participation of regional governments in foreign policy is a global phenomenon, which has been described as constituent diplomacy or Para diplomacy. It is a phenomenon that includes a cocktail of factors like globalisation, economic liberalisation, diffusion of technology and the decentralisation of political power. Dependence of coalition governments on regional parties in India has resulted in a subtle power shift when it comes to foreign policy prioritisation and perceptions. There is a new activism in the making and implementation of Indian foreign policy. The chapter analyses the domestic imperatives impacting on India's foreign policy. The assertion and expectations of regional parties have been contingent on the leverage they have within a coalition like the NDA and the UPA. States are now even bringing foreign and security issues to the bargaining table, thereby providing the regional parties a variety of participatory opportunities. Conduct of India's foreign policy is no longer the exclusive domain of the federal government in India. At any given time, domestic compulsions influence how states act and react to various foreign policy issues and events, and hence engaging state governments in foreign affairs can be a force multiplier for Indian foreign policy. 2024 selection and editorial matter, M.J. Vinod, Stefy V Joseph, Joseph Chacko Chennatuserry and Dimitris N. Chryssochoou; individual chapters, the contributors. -
INTRODUCTION
The twenty-first century has been witnessing a global federal resurgence, distinguished by conversations focusing on interdependencies, multiculturalism, overlapping jurisdictions, multilateralism, multiple centres of policy-making and multiple notions of citizenship. Any assessment of cooperative federalism needs to go beyond institutional structures by incorporating images of diversity, pluralism, identity, issues of empowerment and democratization. Cooperative federalism facilitates cooperation among the national, state and local governments. It perceives the federation and the states as complementary parts of an arrangement where sovereignty is shared. 2024 selection and editorial matter, M.J. Vinod, Stefy V Joseph, Joseph Chacko Chennatuserry and Dimitris N. Chryssochoou; individual chapters, the contributors. -
Cooperative Federalism in South Asia and Europe: Contemporary Issues and Trends
This book explores the challenges, opportunities, and trends impacting the working of federations in South Asia and Europe. It deliberates on the changing socio-economic realities, challenges facing the existing structures of governance, degrees of consociationalism, and the growing aspirations of people in South Asia and Europe.Through case studies from Greece, Germany, Austria, Switzerland, Spain, France, Sri Lanka, Pakistan, Nepal, Maldives, Bhutan, and India, the volume focuses on critical issues relating to cooperative federalism its complexities, institutional dilemmas, and trends in South Asia and Europe. It discusses a variety of themes relevant to Cooperative Federalism including federal-state relations; cooperative governance; constitution; multiculturalism, fiscal relations, democratization, devolution of powers, consociationalism, and global citizenship in South Asia and Europe. The book further emphasizes the need to strike a balance between the federal government and the constituent units in these two regions. Topical and lucid, this book will be of interest to teachers, scholars, and researchers of political science, comparative government and politics, federalism, South Asian politics, European politics, governance studies, and political studies. 2024 selection and editorial matter, M.J. Vinod, Stefy V Joseph, Joseph Chacko Chennatuserry and Dimitris N. Chryssochoou; individual chapters, the contributors. -
Maulana Abul Kalam Azad
Maulana Abul Kalam Azad was a profound and rare Islamic scholar, writer, thinker, freedom fighter who promoted the idea of 'universal humanism'. He was well versed in poetry, art and music besides having a flair for writing. He was a multi-faceted personality with a progressive outlook. Though he had a rationalist outlook, he was very well versed in Islamic lore and history. His view of Islam did not necessarily come into conflict with territorial nationalism, Pan-Islamism and anti-imperialism. In this sense, he had interpreted Islam from a rationalist perspective. Maulana Azad had given a clarion call to the Muslims to join hands with the Hindus to achieve the common goal of ending British rule and domination in India. In fact, he considered this as the duty of the Indian Muslims, because according to him Muslims were created not for despondency but for 'hope'. As a revolutionary journalist the Maulana heralded a new era in Urdu journalism. His weekly 'Al-Hilal' grew in readership to such an extent that ultimately the British Government had to ban it. This chapter will analyse the thoughts, ideas and contribution of Maulana Azad to the freedom movement and nation-building in the post-independent India. Springer Nature Singapore Pte Ltd. 2022. All rights reserved. -
United States-South Asia relations: Challenges and opportunities facing the Biden administration
With the passage of time, US interests in the South Asian region have also diversified. South Asia has emerged as a highly strategic and volatile region in the geopolitics of the Indo-Pacific region. The chapter is divided into two sections. One section looks at the prospects in US-South Asia relations, focusing on the scaling up of security and non-security cooperation with the South Asian countries, with reference to US relations with Pakistan, Afghanistan, Sri Lanka, Bangladesh, Maldives and Nepal. The chapter addresses the overall strategic importance of the region and the impact of geopolitical shifts on US-South Asia relations. The second section of the chapter focuses on the evolving strategic ties between India and the United States. This analysis is against the backdrop of China's political, economic, and strategic policies and priorities in the region. Some of the major issues to be addressed in this section include the Chinese reaction to the defence and security cooperation, between India and the United States, the growing Chinese presence in the Indo-Pacific and its impact on the balance of power in the region, the Chinese "String of Pearls" strategy and its impact on India-US relations, the challenges posed by transnational crime, terrorism and piracy and their impact on India-US strategic cooperation, and the need to maintain the safety and security of sea lanes in the Indo-Pacific region. 2024 selection and editorial matter, Adluri Subramanyam Raju and R. Srinivasan. All rights reserved. -
Natural Disaster Prediction by Using Image Based Deep Learning and Machine Learning
In recent years, diseases and disaster have become more unpredictable. The advent of technology has not only making our lives easier but also technology-dependent. Nevertheless, the natural disasters cause great adversity by disrupting considerable human lives. Also, the disasters obstruct and affect many industries and services either directly or indirectly. Hence, it is necessary to study and observe data patterns and warning signs that lead to a natural disaster, its potential risk and its ability to resolve management strategies, which can be implemented immediately to minimize the socio-economic loss. This article reviews the state-of-the-art research works and findings through a technological perspective on data analysis, natural disaster prediction, and the utilization of technology for deploying management strategy. Also, this paper focuses on investigating the today's Industry 4.0 that utilizes cognitive computing. The primary aim of this article is to review the research ideas that leverage big data and data mining to observe and track patterns, which can impelment predictive analysis to anticipate the forthcoming disasters. Furthermore, this research work analyzed the posed predictive models by specifically using ANN (Artificial Neural Networks), sentiment model, and smart disaster prediction application (SDPA) to predict the flash flood. 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG. -
Speech to text conversion and summarization for effective understanding and documentation
Speech, is the most powerful way of communication with which human beings express their thoughts and feelings through different languages. The features of speech differs with each language. However, even while communicating in the same language, the pace and the dialect varies with each person. This creates difficulty in understanding the conveyed message for some people. Sometimes lengthy speeches are also quite difficult to follow due to reasons such as different pronunciation, pace and so on. Speech recognition which is an inter disciplinary field of computational linguistics aids in developing technologies that empowers the recognition and translation of speech into text. Text summarization extracts the utmost important information from a source which is a text and provides the adequate summary of the same. The research work presented in this paper describes an easy and effective method for speech recognition. The speech is converted to the corresponding text and produces summarized text. This has various applications like lecture notes creation, summarizing catalogues for lengthy documents and so on. Extensive experimentation is performed to validate the efficiency of the proposed method. Copyright 2019 Institute of Advanced Engineering and Science. All rights reserved. -
Structural investigation of discrete solvent protonated vanadium and other transition metal complexes of N-[(E)-(3-ethoxy-2-hydroxyphenyl)methylidene]benzohydrazide, synthetic, spectroscopic and cytotoxicity studies
A new ligand 3-ethoxysalicylaldehyde benzoic hydrazone (H2ESB) and its copper(II), nickel(II), cobalt(II), zinc(II), and dioxidovanadium(V) complexes have been synthesized and characterized by elemental analysis, IR, UVVis and EPR studies. Copper(II) complex (2) contains 2,2?-bipyridine as a coligand. Aroyl hydrazone and its copper and vanadium complexes were characterised by single crystal XRD. The vanadium compound crystallized in triclinic space group P1- and copper compound in orthorhombic space group P212121. The solvent molecule DMF protonates to form ammonium ion in vanadium complex which neutralises the charge on the vanadium ion. Both complexes copper and vanadium show distorted square pyramidal geometry. From EPR results, spin Hamiltonian and bonding parameters were calculated. The g values in copper complexes indicate the presence of the unpaired electron in the dx?y orbital. In vitro cytotoxicity studies of aroylhydrazone and its complexes showed that copper, cobalt and vanadium complexes are more cytotoxic than hydrazone and other complexes against Dalton's lymphoma ascites cells (DLA). 2019 Elsevier B.V. -
Novel dioxidomolybdenum complexes containing ONO chelators: Synthesis, physicochemical properties, crystal structures, Hirshfeld surface analysis, DNA binding/cleavage studies, docking, and in vitro cytotoxicity
A series of dioxidomolybdenum (VI) complexes, [MoO2(ESB)H2O]DMF (1), [MoO2(ESB)MeOH] (2), and [MoO2(ESB)H2O]EtOH (3), containing 3-ethoxysalicylaldehyde benzoylhydrazone have been synthesized and analysed using various spectral and analytical techniques such as elemental analyses, IR spectra, UVVis absorption spectra, X-ray crystallography, and Hirshfeld surface analysis. Based on the elemental and spectral analysis, six-coordinate geometry was assigned for these complexes wherein the hydrazone ligand binds to the metal centre in its dianionic enolate form through ONO donor set. Distorted octahedral geometry of complexes 1 and 2 was evidenced from their crystal structures, which is typical for many cis-dioxido complexes of MoVI. The proligand and the new complexes were examined for their DNA binding, DNA cleavage, and cytotoxic properties. The DNA binding efficiency of the compounds in terms of their binding constants (Kb) of the metal complexes was observed to be 1.3727 105 M?1, 3.0194 104 M?1, and 1.13206 104 M?1 for [MoO2(ESB)H2O]DMF (1), [MoO2(ESB)MeOH] (2), and [MoO2(ESB)H2O]EtOH (3), respectively, indicating that these complexes strongly bind to DNA. To determine the binding interactions of the complexes with DNA and protein (BSA), molecular docking studies were carried out. Gel electrophoresis study reveals the fact that the complexes cleaved supercoiled pUC-18 DNA to nicked form (Form II) in the presence and absence of H2O2. The complexes showed significantly high cytotoxicity against MCF-7 (breast cancer cells). 2021 John Wiley & Sons, Ltd. -
An Enhanced Automation Analysis for Structural Algorithm in Agro-Industries Using IoT
The Internet of Things (IoT) based structural algorithm for automatic agriculture refers to the system of using powerful real-time data collected from a variety of sensors with software and analytics to autonomously manage agro-ecosystems. This algorithm can be used to monitor environments, analyze data and use this knowledge to take specific actions to help farmers and producers maximize their production and profitability. This algorithm provides an unprecedented level of precision, accuracy and control over the agricultural environment, allowing greater efficiency and optimization in farming practices. It enables monitoring, scheduling, and control of different agro-ecosystem components, such as water, soil, fertilizer, light, humidity, temperature, soil pH and crop growth. The algorithm can also point to general trends and patterns in the environment, as well as offer timely advice to farmers in response to real-time conditions. The algorithm is also capable of automatically diagnosing and responding to unexpected problems, which can help prevent costly mistakes and excessive waste of water, fertilizer, energy, etc. 2023 by the authors. -
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Examining the effect of explicit instruction on vocabulary learning and on receptive-productive gap: An experimental study
This research study emphasized the importance of explicit instruction and repeated exposure to the target vocabulary for effective reception and production of new words among the second language learners of English. The purpose of the study was to examine the efficacy of the researcher- created supplementary for the prescribed set of vocabulary in the English language textbook. The study aimed to find out the amount of influence the explicit instruction and repeated exposure to the target vocabulary had on the nature of the receptive- productive gap. A total of sixty-two sixth grade students from a Government school in Tamil Nadu, India, participated in the experimental study which was conducted over a period of three months. The results of the study showed that the explicit instruction and repeated exposure to the target vocabulary had a significant amount of influence on vocabulary knowledge when compared to the conventional way of vocabulary instruction. In the conventional mode of vocabulary instruction, reception of vocabulary was found to have an average of 8% influence on the production knowledge, whereas in the case of the experimental group, it amounted up to 72%. This analysis showed that through explicit instruction and repeated exposure to the target vocabulary the receptive- productive gap is significantly reduced. 2020 JLLS and the Authors - Published by JLLS. -
Down syndrome detection using modified ant colony optimization algorithm
Nowadays, the systems related to healthcare are restructured with innovative skills to offer humans more intellectual and proficient healthcare facilities. Various intelligent healthcare systems are exhibited with the help of machine learning and artificial intelligent tools to offer intellectual and expert services. In human body genetic codes are stored in the genes. All of our inherited traits are associated with these genes and are grouped as structures generally called chromosomes. In typical cases, each cell consists of 23 pairs of chromosomes, out of which each parent contributes half. But if a person has a partial or full copy of chromosome 21, the situation is called Down syndrome. It results in intellectual disability, reading impairment, developmental delay, and other medical abnormalities. This paper introduces an intelligent prediction and classification system for healthcare, feature selection based on density with Ant Colony Optimization (ACO) algorithm for Down syndrome (DS). 2021, Engg Journals Publications. All rights reserved. -
Down syndrome detection using modified adaboost algorithm
In human body genetic codes are stored in the genes. All of our inherited traits are associated with these genes and are grouped as structures generally called chromosomes. In typical cases, each cell consists of 23 pairs of chromosomes, out of which each parent contributes half. But if a person has a partial or full copy of chromosome 21, the situation is called Down syndrome. It results in intellectual disability, reading impairment, developmental delay, and other medical abnormalities. There is no specific treatment for Down syndrome. Thus, early detection and screening of this disability are the best styles for down syndrome prevention. In this work, recognition of Down syndrome utilizes a set of facial expression images. Solid geometric descriptor is employed for extracting the facial features from the image set. An AdaBoost method is practiced to gather the required data sets and for the categorization. The extracted information is then assigned and used to instruct the Neural Network using Backpropagation algorithm. This work recorded that the presented model meets the requirement with 98.67% accuracy. 2021 Institute of Advanced Engineering and Science. All rights reserved. -
Detection of tuberculosis using convolutional neural network with transfer learning
Tuberculosis is sighted as the one of the life causing disease in the recent time. The current research work focus on detection of Tuberculosis using Convolutional Neural Network with Transfer Learning for chest X-ray images. The proposed research work uses two different datasets for detecting Tuberculosis from Chest X-ray images, which is taken from National Institutes of Heaths. During the experimental work, the total sample size used for detecting Tuberculosis is 800 instances. Initially, the image processing techniques were applied to increase the quality of Chest X-ray images. The proposed model uses Convolution Neural Network with transfer learning for the detection of Tuberculosis with 98.7% as accuracy. The proposed model is checked with convolutional neural network without transfer learning. From the experimental evaluation, it is found that the proposed model works better than the Convolution Neural Network without using the transfer learning. 2017, Institute of Advanced Scientific Research, Inc. All rights reserved. -
Covid 19 impact assessment index for manufacturing MSMES /
Patent Number: 202141035478, Applicant: Theresa Nithila Vincent.
The COV1D 19 pandemic disrupted the functioning of enterprises and posed a significant effect on the Micro, Small and Medium Enterprises (MSMEs) sector. The level of impact was varying depending on the type of business. This study aims to develop an index to assess the impact of COVTD 19 on the manufacturing MSMEs by studying the impact on the Key Performance Indicators, namely; Labour, Supply Chain, Production and Revenue. -
Apparel shopping styles of young adult consumers in Bangalore /
Indian Journal Of Marketing, Vol.46, Issue 2, pp.267-279, ISSN No: 0973-8703. -
Managing individual and orgnizational challenges with respect to diversity perceptions and social capital among members of virtual teams,
Diversity encompasses complex differences and similarities in perspectives, identities, and points of view among members of an institution as well as among individuals who make up the wider community. Diversity includes important and interrelated dimensions of human identity such as race, ethnicity, gender, gender identity and newlineexpression, socio-economic status, nationality, citizenship, religion, newlinesexual orientation, ability and age. These differences are important to understand but they cannot be used to predict any individual s values, choices or responses. Organizations with diverse employees are better suited to serve diverse external customers in an increasingly global market. Such organizations have a better understanding of the requirements of the legal, political, social, economic, and cultural environments. Organizations that manage diversity are recipients of more commitment, and better satisfied as well newlineas better performing employees (Patrick and Kumar,2012). newlineEnsuring better social relations among team members has become complex. The nature of teams is not how they used to be, organizations have spread across geographically which has led to the birth of virtual teams. Virtual team members are been separated by time and space this makes it even more difficult to ensure that social capital is being maintained among virtual team members, as only when there is a trust, newlinereciprocity and cooperation among virtual team members they will be better connected individuals who obtain greater advantages, this ensures that groups and organizations improve performance and obtain sustainable competitive advantage (Tsai and Ghoshal, 1998). newlineThe present investigation was focused on understanding the perception of members of virtual teams towards diversity at workplace. newlineThis study newlineassists us to find out how virtual team members can overcome Individual newlineand Organizational Challenges towards diversity and to find out the social newlinerelations among virtual team members, how much trust exists among them.