1,365,332 research outputs found
Positive politeness strategies used by Jay Shetty in Jay Shetty Podcast YouTube Channel
No full textENGLISH :
This study aims to examine the positive politeness strategies that are often used to show similarity, familiarity and respect. This research discusses the positive politeness strategies used by Jay Shetty in the Jay Shetty Podcast YouTube channel. This research focuses on two problem formulations, namely: (1) the types of positive politeness strategies used by Jay Shetty to male and female guest stars in talk show videos on the Jay Shetty Podcast YouTube channel, (2) the factors that influence the choices of positive politeness strategies used by Jay Shetty in talk show videos on the Jay Shetty Podcast YouTube channel. The data from this study are analyzed using the theory proposed by Brown & Levinson (1987) who argue that there are 15 positive politeness strategies. The method used to analyze this research is a qualitative approach with the content analysis method, the data in this study are taken from Jay Shetty's interviews with his guest stars that have been transcribed. The results showed that from the six most popular talk show videos on the Jay Shetty Podcast YouTube channel, it was obtained that Jay Shetty similarly uses 12 out of 15 (80%) positive politeness strategies, which means that Jay Shetty is very good at showing positive politeness to male and female guest stars when he communicated in his talk show, with a total of 327 data found. Based on Jay Shetty's three videos of talk shows with male guest stars, a total of 178 data were found, and from Jay Shetty's three videos of talk shows with female guest stars, a total of 149 data were found. Based on the analysis, the positive politeness strategy of exaggerate (approval, interest, sympathy with H) is the most dominant strategy used by Jay Shetty with a total of 102 data. Jay Shetty uses this strategy to show exaggerated approval, interest and sympathy to his guest stars to make them feel satisfied. In addition, Jay Shetty applies these strategies by factoring in Payoffs and Circumstances: sociological variables.
INDONESIA :
Penelitian ini bertujuan untuk meneliti tentang strategi kesantunan positif yang sering digunakan untuk menunjukan persamaan, keakraban dan rasa hormat. Penelitian ini membahas strategi kesantunan positif yang digunakan oleh Jay Shetty di kanal YouTube Jay Shetty Podcast. Penelitian ini berfokus pada dua rumusan masalah, yaitu: (1) jenis-jenis strategi kesantunan positif yang digunakan oleh Jay Shetty kepada bintang tamu pria dan wanita dalam video talkshow di kanal YouTube Jay Shetty Podcast, (2) faktor-faktor yang mempengaruhi pemilihan strategi kesantunan positif yang digunakan oleh Jay Shetty dalam video talkshow di Kanal YouTube Jay Shetty Podcast. Data dari penelitian ini dianalisis menggunakan teori yang diusulkan oleh Brown & Levinson (1987) yang berpendapat bahwa ada 15 strategi kesantunan positif. Metode yang digunakan untuk menganalisis penelitian ini adalah pendekatan qualitatif dengan metode analisis konten, data dalam penelitian ini diambil dari interview Jay shetty dengan para bintang tamunya yang sudah ditranskripsikan. Hasil penelitian menemukan bahwa dari enam video talkshow terpopuler di kanal YouTube Jay Shetty Podcast, diperoleh bahwa Jay Shetty sama-sama menggunakan 12 dari 15 (80%) strategi kesantunan positif, yang berarti Jay Shetty sangat baik dalam menunjukkan kesantunan positif kepada bintang tamu pria dan wanita ketika ia berkomunikasi dalam talkshownya, dengan jumlah total data yang ditemukan sebanyak 327 data. Berdasarkan tiga video talkshow Jay Shetty dengan bintang tamu pria, ditemukan total 178 data, dan dari ketiga video talk show Jay Shetty dengan bintang tamu wanita, ditemukan total 149 data. Berdasarkan analisis, strategi kesantunan positif exaggerate (approval, interest, sympathy with H) merupakan strategi yang paling dominan digunakan Jay Shetty dengan jumlah data sebanyak 102 data. Jay Shetty menggunakan strategi ini untuk menunjukkan persetujuan, ketertarikan, dan simpati yang berlebihan kepada para bintang tamunya agar mereka merasa puas. Selain itu, Jay Shetty menerapkan strategi ini dengan memperhitungkan Imbalan dan Keadaan: variabel sosiologis
A novel multiblock immersed boundary method for large eddy simulation of complex arterial hemodynamics
No full textComputational fluid dynamics (CFD) simulations are becoming a reliable tool to understand hemodynamics, disease progression in pathological blood vessels and to predict medical device performance. Immersed boundary method (IBM) emerged as an attractive methodology because of its ability to efficiently handle complex moving and rotating geometries on structured grids. However, its application to study blood flow in complex, branching, patient-specific anatomies is scarce. This is because of the dominance of grid nodes in the exterior of the fluid domain over the useful grid nodes in the interior, rendering an inevitable memory and computational overhead. In order to alleviate this problem, we propose a novel multiblock based IBM that preserves the simplicity and effectiveness of the IBM on structured Cartesian meshes and enables handling of complex, anatomical geometries at a reduced memory overhead by minimizing the grid nodes in the exterior of the fluid domain. As pathological and medical device hemodynamics often involve complex, unsteady transitional or turbulent flow fields, a scale resolving turbulence model such as large eddy simulation (LES) is used in the present work. The proposed solver (here after referred as WenoHemo ), is developed by enhancing an existing in-house high-order incompressible flow solver that was previously validated for its numerics and several LES models by Shetty et al. (2010) [33]. In the present work, WenoHemoWenoHemo is systematically validated for additional numerics introduced, such as IBM and the multiblock approach, by simulating laminar flow over a sphere and laminar flow over a backward facing step respectively. Then, we validate the entire solver methodology by simulating laminar and transitional flow in abdominal aortic aneurysm (AAA). Finally, we perform blood flow simulations in the challenging clinically relevant thoracic aortic aneurysm (TAA), to gain insights into the type of fluid flow patterns that exist in pathological blood vessels. Results obtained from the TAA simulations reveal complex vortical and unsteady flow fields that need to be considered in designing and implanting medical devices such as stent graft
Analysis of Speech Errors Made by Jay Shetty and Jim Kwik on The Jay Shetty Podcast
No full textThe purpose of this research is to identify the different types of speech errors along with the causes of those errors made by Jay Shetty and Jim Kwik on the Jay Shetty Podcast entitled If You Feel Lazy, Lost & Unmotivated, Watch This to Change Everything in 2023. This research used a qualitative descriptive method, specifically a content analysis method, in the process of analysis. Data collection involves several steps such as watching, transcribing, and finally selecting the data. The data in this research is in the form of utterances containing errors, and the data source is a video podcast hosted by Jay Shetty featuring Jim Kwik as a guest, which was downloaded from the Jay Shetty Podcast channel on YouTube. The theory used in this research is speech errors theory that proposed by Clark and Clark. The research finding showed that the podcast host, made 174 errors, and Jim, the podcast guest, made 165 errors which in total of 339 errors. 8 types of speech errors were found with no slips of the tongue. It is also known that the most common type of error is repetition, which occurred 127 times. Cognitive difficulties and social issues (situational anxiety) influenced the occurrence of errors during Jay Shetty and Jim Kwik's interactions.75 PagesSkripsi Sarjan
Mechatronics System design : second edition / Devdas Shetty, Richard A. Kolk.
No full textIncludes bibliographical references and index.Book fair 2012.xiv, 504 p. :This text by Shetty and Kolk, blends the pertinent aspects of mechatronics--system modeling, simulation, sensors, actuation, real-time computer interfacing, and control--into a single unified result suitable for use in the college-level mechatronic curriculum. Students are introduced to all the topics needed to develop a good understanding of the basic principles used in mechatronics technology through the use of examples, problems and case studies, all of which can be quickly and affordably assembled and investigated in laboratory settings. Core aspects are combined with practical industrial applications and are presented in an opitimal way for understanding. The book features extensive coverage of the modeling and simulation of physical systems made possible by block-diagrams, the modified analogy approach to modeling, and state-of-the-art visual simulation software. A collection of case studies drawn from a variety of industries (complete with parts, lists, setup, and instructions) are used to support the authors' applied, design-oriented approach. Readers of this text will be equipped with all the tools necessary to plan, test, and implement a well-designed mechatronic system
Autologous collagen induced chondrogenesis (ACIC: Shetty-Kim technique) - A matrix based acellular single stage arthroscopic cartilage repair technique
No full textThe defects of articular cartilage in the knee joint are a common degenerative disease and currently there are several established techniques to treat this problem, each with their own advantages and shortcomings. Autologous chondrocyte implantation is the current gold standard but the technique is expensive, time-consuming and most versions require two stage procedures and an arthrotomy. Autologous collagen induced chondrogenesis (ACIC) is a single-stage arthroscopic procedure. This method uses microfracture technique with atelocollagen mixed with fibrin gel to treat articular cartilage defects. We introduce this ACIC techniques and its scientific background
A4NT : Author Attribute Anonymity by Adversarial Training of Neural Machine Translation
No full textText-based analysis methods enable an adversary to reveal privacy relevant author attributes such as gender, age and can identify the text's author. Such methods can compromise the privacy of an anonymous author even when the author tries to remove privacy sensitive content. In this paper, we propose an automatic method, called the Adversarial Author Attribute Anonymity Neural Translation (), to combat such text-based adversaries. Unlike prior works on obfuscation, we propose a system that is fully automatic and learns to perform obfuscation entirely from the data. This allows us to easily apply the system to obfuscate different author attributes. We propose a sequence-to-sequence language model, inspired by machine translation, and an adversarial training framework to design a system which learns to transform the input text to obfuscate the author attributes without paired data. We also propose and evaluate techniques to impose constraints on our model to preserve the semantics of the input text. learns to make minimal changes to the input to successfully fool author attribute classifiers, while preserving the meaning of the input text. Our experiments on two datasets and three settings show that the proposed method is effective in fooling the attribute classifiers and thus improves the anonymity of authors
Be Unconditionally Happy!
No full textJournal #39 from Media Rise's Quarantined Across Borders Collection by Anupkumar Shetty. From India. Quarantined in Texas.Staying busy practicing gratitude, mindful breathing, meditation, prayer, reading, writing and other activities you like are ways to be unconditionally happy and stress-free in life.Media Rise Publications. Quarantined Across Borders Collection. Edited by Dr. Srividya "Srivi" Ramasubramanian
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
No full text“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
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