This book describes the principles of laser treatment in dermatology and, taking into account these principles, provides clinicans with clear, up-to-date guidance on choice of the appropriate laser and parameters for different skin conditions. The aim is to provide a gold standard laser reference book that will meet the needs of those who are already performing laser surgery as well as novices to the field. Readers will find readily understandable coverage of both basic and advanced laser theory. Based on this theory, the authors proceed to explain all the considerations that need to be taken into account when choosing laser systems and parameters for a variety of indications, including all relevant vascular and pigmented lesions and the removal of hair, scars, and tattoos. Close attention is paid to the skin characteristics of Asians and the impacts of these characteristics on parameter selection. In addition, a separate chapter is devoted to the efficacy and safety of laser treatment of melasma, a common disease in Asians.
In the book of 'Lasers in Dermatology: Parameters and Choice,' specific laser parameters are described around each laser instrument for these novices. However, since it is impossible to treat effective and safe laser simply by memorizing parameters, it is described based on the important principles that is essential for parameter control. This book describes a total of 13 lasers and energy-based devices : Q-switched ruby laser, Q-switched Nd:YAG laser, picosecond alexandrite laser, long-pulsed Nd:YAG laser, pulsed-dye laser, intense pulsed light (IPL), long-pulsed alexandrite laser, Er:YAG laser, CO2 fractional laser, fractional microneedle radiofrequency (RF), light-emitting diode (LED), skin equipment, and 1,450nm diode laser. And for novices, it explains the simple principles of lasers and the concepts you need to know when you start skin care and laser. It also explains the treatment of scars and melasma, which are the diseases that novices are most interested in. Finally, it describes post-inflammatory (PIH) and side effects and complications that novices are embarrassed about in diagnosis and treatment.
The essential account of the South Korean 1980 pro-democracy rebellion On May 18, 1980, student activists gathered in the South Korean city of Gwangju to protest the coup d’état and the martial law government of General Chun Doo-hwan. The security forces responded with unmitigated violence. Over the next ten days hundreds of students, activists, and citizens were arrested, tortured, and murdered. The events of the uprising shaped over a decade of resistance to the repressive South Korean regime and paved the way for the country’s democratization. This fresh translation by Slin Jung of a text compiled from eyewitness testimonies presents a gripping and comprehensive account of both the events of the uprising and the political situation that preceded and followed the violence of that period. Included is a preface by acclaimed Korean novelist Hwang Sok-yong. Gwangju Uprising is a vital resource for those interested in East Asian contemporary history and the global struggle for democracy.
In Artificial Intelligence in Finance and Investing, authors Robert Trippi and Jae Lee explain this fascinating new technology in terms that portfolio managers, institutional investors, investment analysis, and information systems professionals can understand. Using real-life examples and a practical approach, this rare and readable volume discusses the entire field of artificial intelligence of relevance to investing, so that readers can realize the benefits and evaluate the features of existing or proposed systems, and ultimately construct their own systems. Topics include using Expert Systems for Asset Allocation, Timing Decisions, Pattern Recognition, and Risk Assessment; overview of Popular Knowledge-Based Systems; construction of Synergistic Rule Bases for Securities Selection; incorporating the Markowitz Portfolio Optimization Model into Knowledge-Based Systems; Bayesian Theory and Fuzzy Logic System Components; Machine Learning in Portfolio Selection and Investment Timing, including Pattern-Based Learning and Fenetic Algorithms; and Neural Network-Based Systems. To illustrate the concepts presented in the book, the authors conclude with a valuable practice session and analysis of a typical knowledge-based system for investment management, K-FOLIO. For those who want to stay on the cutting edge of the "application" revolution, Artificial Intelligence in Finance and Investing offers a pragmatic introduction to the use of knowledge-based systems in securities selection and portfolio management.
Now that the team's assembled, it's time to begin their rigorous training in time for the next big match. With this being the first chance the girls have to prove their stuff, everyone's going to have to learn to get along, but when some of the team members think they're already hot stuff, they'll be sure to butt heads! The mystery surrounding Shin-bee only thickens when her legendary older brother Shin-young storms onto scene, and it's clear he'll do anything to get her to quit soccer.
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