In this issue of Child and Adolescent Psychiatric Clinics, guest editors Drs. Paula Riggs, Jesse D. Hinckley, and J. Megan Ross bring their considerable expertise to the topic of Adolescent Cannabis Use. Marijuana use has been an ongoing problem for teens and adolescents, but with the legalization of marijuana in many parts of the U.S., accessibility is becoming greater than ever before. Marijuana use in teens can have negative physical, social, and psychological impacts, and this issue is designed to help practicing clinicians address marijuana use and abuse in their patients. Contains 13 practice-oriented topics including the impact of cannabis legalization on adolescent cannabis use; cannabis use disorder; the impact of adolescent cannabis use on neurocognitive and brain development; prevention; screening, brief, intervention, and referral to treatment; brief interventions for cannabis use disorder; and more. Provides in-depth clinical reviews on adolescent cannabis use, offering actionable insights for clinical practice. Presents the latest information on this timely, focused topic under the leadership of experienced editors in the field. Authors synthesize and distill the latest research and practice guidelines to create clinically significant, topic-based reviews.

This issue of the Child and Adolescent Psychiatric Clinics will be Part II of II on Substance Use Disorders. Part II will be edited by Drs. Ray Hsiao and Paula Riggs. This portion will focus more on treatments, recovery, and support considerations for adolescents with substance abuse issues. Topics covered include, but are not limited to: screening brief intervention referral treatment in primary care, family-based interventions, motivational enhancement therapy, school-based interventions, contingency management, pharmacotherapy, treatment for children with co-morbid psychiatric issues, special populations, and integration of system of care.

The easy way to learn the Korean Hangeul writing system! Fans of K-Pop and Korean dramas as well as beginning students of Korean will love this handy guide to the Korean Hangeul alphabet. Designed for both self-study students and use in a classroom, no prior knowledge of Korean is needed. With this workbook, you'll quickly learn to read, write and pronounce the letters and hundreds of useful Korean words and phrases. Reading and Writing Korean includes: Free online audio recordings to teach you to pronounce all the sounds of the language correctly Fun exercises to help you memorize a broad range of vocabulary--from numbers and Korean foods to pop culture and social media A set of free downloadable flash cards to help you memorize letters and words A complete answer key for all the exercises Mnemonic illustrations to help memorize the sounds of the letters Oxford University instructors Jieun Kiaer and Derek Driggs present the vowels, consonants, syllables and words in a systematic, step-by-step approach which takes you from tracing and copying individual letters to writing complete words and sentences in no time at all!

During the past few decades we have witnessed an era of remarkable growth in the field of molecular biology. In 1950 very little was known of the chemical constitution of biological systems, the manner in which information was trans mitted from one organism to another, or the extent to which the chemical basis of life is unified. The picture today is dramatically different. We have an almost bewildering variety of information detailing many different aspects of life at the molecular level. These great advances have brought with them some breath-taking insights into the molecular mechanisms used by nature for rep licating, distributing and modifying biological information. We have learned a great deal about the chemical and physical nature of the macromolecular nucleic acids and proteins, and the manner in which carbohydrates, lipids and smaller molecules work together to provide the molecular setting of living sys tems. It might be said that these few decades have replaced a near vacuum of information with a very large surplus. It is in the context of this flood of information that this series of monographs on molecular biology has been organized. The idea is to bring together in one place, between the covers of one book, a concise assessment of the state of the subject in a well-defined field. This will enable the reader to get a sense of historical perspective-what is known about the field today-and a description of the frontiers of research where our knowledge is increasing steadily."

Designed for the applied practitioner, this book is a compact, entry-level guide to modeling and analyzing non-Gaussian and correlated data. Many practitioners work with data that fail the assumptions of the common linear regression models, necessitating more advanced modeling techniques. This Handbook presents clearly explained modeling options for such situations, along with extensive example data analyses. The book explains core models such as logistic regression, count regression, longitudinal regression, survival analysis, and structural equation modelling without relying on mathematical derivations. All data analyses are performed on real and publicly available data sets, which are revisited multiple times to show differing results using various modeling options. Common pitfalls, data issues, and interpretation of model results are also addressed. Programs in both R and SAS are made available for all results presented in the text so that readers can emulate and adapt analyses for their own data analysis needs. Data, R, and SAS scripts can be found online at http://www.spesi.org.

Designed for the applied practitioner, this book is a compact, entry-level guide to modeling and analyzing non-Gaussian and correlated data. Many practitioners work with data that fail the assumptions of the common linear regression models, necessitating more advanced modeling techniques. This Handbook presents clearly explained modeling options for such situations, along with extensive example data analyses. The book explains core models such as logistic regression, count regression, longitudinal regression, survival analysis, and structural equation modelling without relying on mathematical derivations. All data analyses are performed on real and publicly available data sets, which are revisited multiple times to show differing results using various modeling options. Common pitfalls, data issues, and interpretation of model results are also addressed. Programs in both R and SAS are made available for all results presented in the text so that readers can emulate and adapt analyses for their own data analysis needs. Data, R, and SAS scripts can be found online at http://www.spesi.org.