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Interventions to help students find a deeper purpose during their academic journey
This comprehensive exploration delves deeply into academic interventions aimed at guiding students toward a more profound sense of purpose throughout their educational journeys. It emphasizes that education offers a unique opportunity for students to discover their passions, interests, and aspirations beyond textbooks and exams. The interventions discussed, including mentorship, career counseling, experiential learning, and self-discovery exercises, are meticulously designed to empower students to recognize their distinct strengths and interests. These interventions not only aim to facilitate academic excellence but also enable students to pursue careers aligned with their core values and aspirations. The exploration scrutinizes effective strategies, programs, and support mechanisms, addressing challenges students face when making career choices, and culminates in recommendations for educators, career counselors, and policymakers interested in enriching students' educational experiences and fostering purpose-driven learners. 2024, IGI Global. -
Into the Dark World of User Experience: A Cognitive Walkthrough Study
In this age of AI, the unison of man and machine is going to be more prominent than ever, thus creating a need to understand the underlying framework that is adopted by app designers and developers from a psychological point of view. Research on the various benefits and harmful effects of user experience design and furthermore developing interventions and regulations to moderate the use of dark strategies in digital tools is the need of the hour. This paper calls for an ethical consideration of designing the experience of users by looking at the unethical practices that exist currently. The purpose of the study was to understand the cognitive, behavioural and affective experience of dark patterns in end users. There is a scarcity in the scientific literature with regard to dark patterns. This paper adopts the methodology of user cognitive walkthrough with 6 participants whose transcripts were analysed using thematic network analyses. The results are presented in the form of a thematic network. A few examples of the themes found are the experience of manipulation in users, rebellious attitudes, and automatic or habitual responses. These findings provide a basis for an in-depth understanding of dark patterns in user experience and provide themes that will help future researchers and designers develop ethical and more enriching user experiences for users. 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG. -
Intricate Plane of Adversarial Attacks in Sustainable Territory and the Perils faced Machine Intelligent Models
The issue of model security and reliability in Artificial Intelligence (AI) is a concern due to adversarial attacks. In order to tackle this issue, researchers have developed sustainable defense strategies, but certain challenges remain. These challenges involve transferability, higher computing costs, and adaptability. Striking a balance between accuracy and robustness is difficult, as defense mechanisms often come with trade-offs between the two. Real-world situations demonstrate the practical implications of sustainable adversarial AI. For example, it improves the security of self-driving vehicles, enhances the accuracy of medical imaging diagnoses, and incorporates AI-driven defenses into network intrusion detection and phishing detection systems. It is crucial to consider ethical aspects throughout this process. Future trends in adversarial AI research for cybersecurity will involve ensemble defense mechanisms, adversarial learning from limited data, and hybrid attacks. By embracing the evolving landscape, researchers and practitioners can develop sustainable AI systems that are more secure and resilient, effectively countering adversarial threats. 2023 IEEE. -
Intrinsic betterness and reason based extrinsic preference towards social shopping: A study among college students in Bangalore
The main purpose of this study is to analyze the Intrinsic and Extrinsic factors and its impact on the social shopping of student community in the city of Bangalore. Bangalore is one of the most popular cities in the down south. This city attracts a mix of various cultures from various countries of the world. Thus, this city and population would be apt to study the social shopping pattern considering the Intrinsic and Extrinsic factors. The data was collected from the student community, perusing their college education in the city of Bangalore. Using convenient sampling method, a sample size of 225 was drawn from educational institutions in the city of Bangalore. The research work makes use of both first hand and second-hand data. The reliability of the data is acceptable as the Cronbach's alphas value is more than. 6. The drafted questionnaire was subjected to expert opinion before the data collection process. The study results make it clear that both intrinsic and extrinsic values motivate the consumers to get involved in the social shopping. But comparatively consumers are more influenced by those factors present in the external environment. It can be concluded by saying that, youngsters are quite smart before putting themselves into the purchase behavior, as they are in a group of friends, they get influenced by various experiences and comments shared by many. In a way social shopping is better, as too many minds generate ideas for a single purchase. 2018 Transilvanian Association for the Literarure and Culture of Romanian People (ASTRA). All rights reserved. -
Introduction
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Introduction
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Introduction
In the digital era, signal processing has found application in daily life from medical diagnosis to social networking. The digital domain has evolved as the preferred choice in communication system design due to its advantages over analog systems, such as high-speed transmission, improved quality, and effortless copying with high precision. The advancement of digital media brings new opportunities. The internet boom of this millennium has allowed digital data to move around the world in real time. Efficient segmentation, recognition, and analysis of multidimensional data such as hyperspectral images, medical imaging, data analysis in social media, and audio signals are still challenging issues. Digital data produced through data-processing algorithms has the fundamental advantages of transportability, proficiency, and accuracy of information content; but such data is also at significant risk because perfect illegal replicas can be made in unlimited numbers. 2021 John Wiley & Sons Ltd. -
INTRODUCTION
World politics in the twenty-first century represents a complex arena characterised by a diversity of paradigms. These paradigms entail a dynamic interplay of conventional and newer ways of engagement. Today, the globalising world witnesses newer imaginations of space and interactions where state actors continue to enjoy a preeminent status, adopting policies based on imaginations of space in terms of connectivity and gateways while maintaining their territorial integrity. They devise a whole array of mechanisms to define, redefine and secure their interests as well as elevate their aspirations of assuming newer responsibilities and bigger roles. What we witness today is dynamic endeavours by the states to hold on to and amplify their traditional roles and carving out newer contours of forging and consolidating relationships in the global framework of international relations. This also leads to the construction of new geo-strategic and economic hotspots. This complex interplay of the traditional and the newer interactions creates both synergies and discord. The Indo-Pacific represents such a hotspot in contemporary world politics, and Indias engagement with Southeast Asia is a significant area of interest therein. 2024 Taylor & Francis. -
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. -
INTRODUCTION
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Introduction to blockchain for internet of things
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Introduction to Data Mining and Knowledge Discovery
Data mining is a process of discovering some necessary hidden patterns from a large chunk of data that can be stored in multiple heterogeneous resources. It has an enormous use to make strategic decisions by business executives after analyzing the hidden truth of data. Data mining one of the steps in the knowledge-creation process. A data mining system consists of a data warehouse, a database server, a data mining engine, a pattern analysis module, and a graphical user interface. Data mining techniques include mining the frequent patterns and association learning rules with analysis, sequence analysis. Data mining technique is applicable on the top of various kinds of intelligent data storage systems such as data warehouses. It provides some analysis processes to make some useful strategic decisions. There are various issues and challenges faced by a data mining system in large databases. It provides a great place to work for data researchers and developers. Data mining is the process of classification, which can be executed based on the examination of training data (i.e., objects whose class label is predefined). With the help of an expert set of previous class objects with known class labels, it can find a model that can predict a class object with an unknown class label. These classification models can be classified into a variety of categories, including nearest neighbor, neural network, and others. Bayesian model, decision tree, neural network Random forest, decision trees Support vector machine, random forest SVM (support vector machine), for example. By analyzing the most common class among k closest samples, the K-Nearest Neighbor (KNN) technique aids in predicting of the class object with the unknown class label. Its an easy-to-use strategy that yields a solid classification result from any distribution. The Naive Bayes theory helps to perform the classification. It is one of the fastest classification algorithms, capable of efficiently handling real-world discrete data. 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG. -
Introduction to quantum machine learning
Quantum Machine Learning (QML) is popularly known to be an integrative approach to learning of the Quantum Physics (QP) and Machine Learning (ML). In this chapter, an outline of the fundamental ideas and features related to quantum machine learning is laid out. The different facets of quantum algorithms are discussed in this chapter. In addition to this, the basic features of quantum reinforcement learning and quantum annealing are also provided in this chapter. Finally, the chapter deliberates about the advancement of quantum neural networks to through light in the direction of QML. 2020 Walter de Gruyter GmbH, Berlin/Boston. All rights reserved. -
INTRODUCTION TO TEACHING INTERNSHIP: An Analytical Approach
The introduction chapter presents the transition that teaching internship models underwent from the 20th century to the 21st century. It addresses the need for acquiring the teaching knowledge required of a teacher trainee suitable to the present time. It provides a glimpse of internship practices in other professions like medicine, law and business to provide an analytical base to understand the teaching internship. A successful teaching practicum is determined by its outcome and the experiences offered at the internship site. The chapter also sheds light on the expectations and benefits of teaching internship. It also clarifies the terms used in teaching internship for a common understanding from the stakeholders. It explores the idea of mentor and mentorship in teaching internship. The chapter concludes by providing an overview of the succeeding chapters in the volume. 2023 selection and editorial matter G.S. Prakasha and Anthony Kenneth; individual chapters, the contributors. -
Introduction, scope and significance of fermentation technology
Fermentation technology is a field which involves the use of microorganisms and enzymes for production of compounds that have applications in the energy, material, pharmaceutical, chemical and food industries. Though fermentation processes have been used for generations as a requirement for sustainable production of materials and energy, today it has become more demanding for continuous creations and advancement of novel fermentation processes. Efforts are directed both towards the advancement of cell factories and enzymes, as well as the designing of new processes, concepts, and technologies. The global market of microbial fermentation technology was valued at approximately USD 1,573.15 million in 2017 and which is expected to generate revenue of around USD 2,244.20 million by end of 2023. However, regular supply of materials, such as nutrients, microorganisms, the complex nature of production process, and high manufacturing cost hinder the market growth. 2019 Scrivener Publishing LLC. All rights reserved. -
Introduction: Sexuality and sexualities
Introduction The most significant recent development, a break with the past, in the study of sexual cultures has to do with the term culture itself: that we think of sexuality (and sexualities) as having cultures. Historically, both in academic and popular thinking, the term sexuality most frequently elicited responses that have to do with biology. That is, whether as an area of study or as a set of ideas people have about their intimate lives, sexuality was too easily detached from the social contexts where it belongs and presented as something of itself. There is a strong tendency to view our sexual lives as dictated by their own peculiar rules that (a) are biologically derived, (b) have been historically stable (that is, the same since the dawn of time), (c) are essentially about our private lives, and (d) are basically the same across different cultures. Ironically, while, on the one hand, we think of sexuality as a world-untoitself - such that it is regarded as a very narrowly confined domain that has nothing to do with, say, politics and economics, we also simultaneously think of it as something of very general significance that is absolutely fundamental to our being. We tend to both downplay its meanings as well as inflate its significance. So, for example, if one is a bad cook, its a minor blemish, but being bad at sex is seen as a major crisis which requires intervention (through seeking the help of sexologists, for example). The sexuality-as-a-drive perspective which was, most famously, both problematized but also institutionalized by Sigmund Freud presents itself in the Indian context in peculiarly Indian ways. It was, for example, at the heart of many of the arguments that were made - and continue to be made - about the difference between Hindus and Muslims, those between tribal and ?ontribal populations, and between the middle-class and poorer populations. So, with respect to the last point, the rise of sexology and the family planning movements are directly linked to the early-twentieth-century perception of the different sexual drives that supposedly characterized the educated and the uneducated (Ahluwalia 2013; Srivastava 2007). Sexology was intended to cater to the more evolved sexual desires of the middle classes, whereas family planning was directed towards controlling the uncontrollable drives of the poor, one that threatened nation-building. Indian Institute of Advanced Studies, Shimla 2020. -
Introduction: Tourism at a crossroads
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Introduction. Inclusive business approaches in tourism: Stakeholder engagement
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Invariant Submanifolds of (?)-Sasakian Manifolds
In this paper, we consider invariant submanifolds of an (?)-Sasakian manifolds. We show that if the second fundamental form of an invariant submanifold of a (?)-Sasakian manifold is recurrent then the submanifold is totally geodesic. We also prove that, invariant submanifolds of an Einstein (?)-Sasakian manifolds satisfying the conditions (Formula presented) (X, Y) ? = 0 and (Formula presented)(X, Y) (Formula presented)? = 0 with ?r ? n(n 1) are also totally geodesic. 2020. All Rights Reserved. -
Inventory model for deteriorating items with ramp type demand under permissible delay in payment
Permissible delay in payment is a common method of payment often used by the suppliers and it generally leads to higher sales and ultimately higher revenue. This method is significant in the case of deteriorating products. In this paper, an inventory model for the deteriorating items with price and time-dependent ramp type demand is presented with shortages allowed and partially backlogged. The solution procedure is illustrated by numerical examples. The concavity of the profit function with respect to the decision variable is discussed analytically. Numerical analysis shows that the profit per unit time increases with the delay payment facility. Copyright 2021 Inderscience Enterprises Ltd.