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BIS-HSS 2020
The Covid-19 pandemic has changed our activities, like teaching, researching, and socializing. We are confused because we haven’t experienced before. However, as Earth's smartest inhabitants, we can adapt new ways to survive the pandemic without losing enthusiasm. Therefore, even in pandemic conditions, we can still have scientific discussions, even virtually. The main theme of this symposium is "Reinforcement of the Sustainable Development Goals Post Pandemic" as a part of the masterplan of United Nations for sustainable development goals in 2030. This symposium is attended by 348 presenters from Indonesia, Malaysia, UK, Scotland, Thailand, Taiwan, Tanzania and Timor Leste which published 202 papers. Furthermore, we are delighted to introduce the proceedings of the 2nd Borobudur Symposium Borobudur on Humanities and Social Sciences 2020 (2nd BIS-HSS 2020). We hope our later discussion may result transfer of experiences and research findings from participants to others and from keynote speakers to participants. Also, we hope this event can create further research network.
Artificial Intelligence, Machine Learning, and Mental Health in Pandemics
Artificial Intelligence, Machine Learning, and Mental Health in Pandemics: A Computational Approach provides a comprehensive guide for public health authorities, researchers and health professionals in psychological health. The book takes a unique approach by exploring how Artificial Intelligence (AI) and Machine Learning (ML) based solutions can assist with monitoring, detection and intervention for mental health at an early stage. Chapters include computational approaches, computational models, machine learning based anxiety and depression detection and artificial intelligence detection of mental health. With the increase in number of natural disasters and the ongoing pandemic, people are experiencing uncertainty, leading to fear, anxiety and depression, hence this is a timely resource on the latest updates in the field. - Examines the datasets and algorithms that can be used to detect mental disorders - Covers machine learning solutions that can help determine the precautionary measures of psychological health problems - Highlights innovative AI solutions and bi-statistics computation that can strengthen day-to-day medical procedures and decision-making
The Palgrave Handbook of Humanitarian Logistics and Supply Chain Management
Focusing on the specific challenges of research design and exploring the opportunities of conducting research in humanitarian logistics and supply chain management, this handbook is a significant contribution to future research. Chapters include extensive descriptions of methods used, highlighting their advantages and disadvantages, and the challenges in scoping, sampling, collecting and analysing data, as well as ensuring the quality of studies. Covering a wide variety of topics including risk and resilience and the impact of humanitarian logistics on capacity building, sustainability and the local economy, it also explores the need for scalability and co-ordination in the humanitarian network. Contributors provide important insight on future directions and offer crucial guidance for researchers conducting projects within the field.
The Scaled Boundary Finite Element Method
An informative look at the theory, computer implementation, and application of the scaled boundary finite element method This reliable resource, complete with MATLAB, is an easy-to-understand introduction to the fundamental principles of the scaled boundary finite element method. It establishes the theory of the scaled boundary finite element method systematically as a general numerical procedure, providing the reader with a sound knowledge to expand the applications of this method to a broader scope. The book also presents the applications of the scaled boundary finite element to illustrate its salient features and potentials. The Scaled Boundary Finite Element Method: Introduction to Theor...
Fear of Writing
The maestro of political plays is back and his latest offering in a decade, Fear of Writing, is a groundbreaking commentary with its finger on the political pulse of Singapore today. In Fear of Writing, a playwright struggles with writer’s block, a director and producer bemoan their failure to get a government license to stage their play, and a father writes to his daughter overseas. Seemingly disparate elements are woven together, while the line between art, performance and reality begin to blur dramatically as the play reaches its chilling conclusion. Fear of Writing is a play that will haunt you while compelling you to decide where you stand on the issues of control and censorship. Written by Tan Tarn How, Fear of Writing was first staged by Theatreworks in 2011 to critical acclaim.
The Global Soul
Pico Iyer has for many years described with keen perception and exacting wit the shifting textures of faraway lands anchored on a spinning globe that mixes and matches East and West. Now he casts a philosophical eye upon this curious state of floatingness. In the transnational village that our world has become, travel and technology fuel each other and us. As Iyer points out, "everywhere is so made up of everywhere else," and our very souls have been put into circulation. Yet even global beings need a home. Using his own multicultural upbringing (Indian, American, British) as a point of departure, Iyer sets out on a quest, both physical and psychological, to find what remains constant in a w...
Big Data Computing
Due to market forces and technological evolution, Big Data computing is developing at an increasing rate. A wide variety of novel approaches and tools have emerged to tackle the challenges of Big Data, creating both more opportunities and more challenges for students and professionals in the field of data computation and analysis. Presenting a mix of industry cases and theory, Big Data Computing discusses the technical and practical issues related to Big Data in intelligent information management. Emphasizing the adoption and diffusion of Big Data tools and technologies in industry, the book introduces a broad range of Big Data concepts, tools, and techniques. It covers a wide range of research, and provides comparisons between state-of-the-art approaches. Comprised of five sections, the book focuses on: What Big Data is and why it is important Semantic technologies Tools and methods Business and economic perspectives Big Data applications across industries
Automatic Design of Decision-Tree Induction Algorithms
Presents a detailed study of the major design components that constitute a top-down decision-tree induction algorithm, including aspects such as split criteria, stopping criteria, pruning and the approaches for dealing with missing values. Whereas the strategy still employed nowadays is to use a 'generic' decision-tree induction algorithm regardless of the data, the authors argue on the benefits that a bias-fitting strategy could bring to decision-tree induction, in which the ultimate goal is the automatic generation of a decision-tree induction algorithm tailored to the application domain of interest. For such, they discuss how one can effectively discover the most suitable set of components of decision-tree induction algorithms to deal with a wide variety of applications through the paradigm of evolutionary computation, following the emergence of a novel field called hyper-heuristics. "Automatic Design of Decision-Tree Induction Algorithms" would be highly useful for machine learning and evolutionary computation students and researchers alike.
Rembrandt and the Female Nude
Rembrandt’s extraordinary paintings of female nudes—Andromeda, Susanna, Diana and her Nymphs, Danaë, Bathsheba—as well as his etchings of nude women, have fascinated many generations of art lovers and art historians. But they also elicited vehement criticism when first shown, described as against-the-grain, anticlassical—even ugly and unpleasant. However, Rembrandt chose conventional subjects, kept close to time-honored pictorial schemes, and was well aware of the high prestige accorded to the depiction of the naked female body. Why, then, do these works deviate so radically from the depictions of nude women by other artists? To answer this question Eric Jan Sluijter, in Rembrandt a...
Metodologi Penelitian Kesehatan
Metodologi penelitian merupakan sekumpulan peraturan, kegiatan, dan prosedur yang digunakanoleh pelaku suatu disiplin ilmu. Adapun tujuan Penelitian adalah penemuan, pembuktian dan pengembangan ilmu pengetahuan. Kegunaan penelitian dapat dipergunakan untuk memahami masalah, memecahkan masalah dan mengantisipasi masalah. Penelitian membutuhkan sebuah pemikiran yang akan dilakukan peneliti. Jika tidak, peneliti akan mengalami kesulitan untuk memulainya. Penelitian terbagi menjadi dua bagian, yaitu penelitian kualitatif dan kuantitatif. Pemikiran dasar yang akan menjadi kerangka penelitian, tipe penelitian seperti apa yang akan kita lakukan, metode penelitian apa yang akan digunakan,variable penelitian seperti apa yang akan kita lakukan.
