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"The prospect of a device that uses solar energy to split water into H2 and O2 is highly attractive in terms of producinghydrogen as a carbon-neutral fuel. In this mini review, key research milestones that have been reached in this field overthe last two decades will be discussed, with special focus on devices that use earth-abundant materials. Finally, theremaining challenges in the development of such ?artificial leaves? will be highlighted.Daun Buatan: Perkembangan Terkini dan Tantangannya. Masa depan perangkat yang memanfaatkan energi matahariuntuk memisahkan molekul air menjadi H2 dan O2 sangat menarik, terutama dalam hal produksi hidrogen sebagai bahanbakar netral karbon. Dalam tinjauan singkat ini, penelitian penting yang telah dicapai dalam bidang ini selama duapuluhtahun terakhir akan dibahas, dengan perhatian khusus terhadap perangkat-perangkat yang menggunakan bahan yangbanyak terkandung dalam tanah. Terakhir, tantangan lainnya dalam pengembangan "Daun Artifisial" juga akandigarisbawahi."

"From generation to generation over the centuries, people in all parts of the world have developed adaptive social-cultural institutions and strategies of natural resource management based on the intimate relationship they had with their environment. At present, recent global warming is threatening people?s lives. Unfortunately, climate change is a natural phenomenon which is neither easy to observe, nor to predict and anticipate accurately. In many places, local people can no longer rely on earlier experiences and existing socio-cultural institutions to adjust to unprecedented changes. We are in urgent need of specific efforts to re-interpret and enrich our knowledge of this natural phenomenon. However, this is not an easy thing to do. People from all kinds of levels and entities in society are simultaneously the cause and the victims of global warming. The problem becomes even more complicated because of various mutually-affecting dimensions like ethics, politics, power, economics, and justice. These are theultimate challenges scholars of the social sciences and humanities need to address seriously everywhere in the world, including in Indonesia. This article addresses the arguments of what scholars in the social sciences and humanities could and should do in response to climate change. Promoting a new paradigm and ethics in dealing with climate change is urgent and improvements in approaches and research methodologies are necessary. Learning from experiences gained from the way farmers in Java respond to climate change, the author argues that interdisciplinary research across social and natural sciences, and collaborative work with target groups is a promising and significant step (although scholars will have to face many challenges and constraints)."

"The term "Artificial Intelligence" has been around since the 1950s, but a lot has changed since then. Today, AI is referenced in the news, books, movies, and TV shows, and the exact definition is often misinterpreted. Artificial Intelligence For Dummies provides a clear introduction to AI and how it's being used today. Inside, you'll get a clear overview of the technology, the common misconceptions surrounding it, and a fascinating look at its applications in everything from self-driving cars and drones to its contributions in the medical field."

"In the chapters in Part I of this textbook the author introduces the fundamental ideas of artificial intelligence and computational intelligence. In Part II he explains key AI methods such as search, evolutionary computing, logic-based reasoning, knowledge representation, rule-based systems, pattern recognition, neural networks, and cognitive architectures. Finally, in Part III, he expands the context to discuss theories of intelligence in philosophy and psychology, key applications of AI systems, and the likely future of artificial intelligence. A key feature of the author's approach is historical and biographical footnotes, stressing the multidisciplinary character of the field and its pioneers.The book is appropriate for advanced undergraduate and graduate courses in computer science, engineering, and other applied sciences, and the appendices offer short formal, mathematical models and notes to support the reader."

"Artificial Intelligence in Accounting: Practical Applications was written with a simple goal: to provide accountants with a foundational understanding of AI and its many business and accounting applications. It is meant to serve as a guide for identifying opportunities to implement AI initiatives to increase productivity and profitability.   This book will help you answer questions about what AI is and how it is used in the accounting profession today. Offering practical guidance that you can leverage for your organization, this book provides an overview of essential AI concepts and technologies that accountants should know, such as machine learning, deep learning, and natural language processing. It also describes accounting-specific applications of robotic process automation and text mining. Illustrated with case studies and interviews with representatives from global professional services firms, this concise volume makes a significant contribution to examining the intersection of AI and the accounting profession.This innovative book also explores the challenges and ethical considerations of AI. It will be of great interest to accounting practitioners, researchers, educators, and students."

"The book presents the state of the art and results and also includes articles pointing to future developments. Most of the articles center around the theme of linear partial differential equations. Major aspects are fast solvers in elastoplasticity, symbolic analysis for boundary problems, symbolic treatment of operators, computer algebra, and finite element methods, a symbolic approach to finite difference schemes, cylindrical algebraic decomposition and local Fourier analysis, and white noise analysis for stochastic partial differential equations. Further numerical-symbolic topics range from applied and computational geometry to computer algebra methods used for total variation energy minimization."

"Whilst a great deal of progress has been made in recent decades, concerns persist about the course of the social sciences. Progress in these disciplines is hard to assess and core scientific goals such as discovery, transparency, reproducibility, and cumulation remain frustratingly out of reach. Despite having technical acumen and an array tools at their disposal, today's social scientists may be only slightly better equipped to vanquish error and construct an edifice of truth than their forbears – who conducted analyses with slide rules and wrote up results with typewriters. This volume considers the challenges facing the social sciences, as well as possible solutions. In doing so, we adopt a systemic view of the subject matter. What are the rules and norms governing behavior in the social sciences? What kinds of research, and which sorts of researcher, succeed and fail under the current system? In what ways does this incentive structure serve, or subvert, the goal of scientific progress?"