When the cactuses bloom in Big Bend National Park, their vivid pinks and purples, reds and yellows bring an unforgettable beauty to the rugged Chihuahuan Desert landscape. In fact, many people visit the park just see the cactus blossoms and the wildflowers. If you're one of them, this book will increase your enjoyment by helping you identify the wonders at your feet. And if you've never been to Big Bend when the cactuses are blooming, you'll discover here what you've been missing.

Douglas B. Evans describes twelve kinds of cactus—living rock, topflower, stout-spined, hedgehog, pineapple, button, barrel, fishhook, nipple, chollas and pricklypears, and Texas nipple—and their individual species known to occur in the park. Color photographs taken by Doris Evans and Ro Wauer accompany the species descriptions. As you hike or drive through the park, you can identify most of the cactuses you see simply by leafing through these splendid pictures and then checking the descriptions, which indicate the cactuses' characteristic features and habitat.

To make the book even more useful, Evans also briefly defines the parts of a cactus, explains how scientific names work, and offers a quick introduction to the geography and ecology of Big Bend National Park and the Chihuahuan Desert. With this information, you'll enjoy not only seeing the cactuses of the Big Bend but also being able to tell one from another and knowing just what makes each one special.

An essential resource for employing this widely used personality assessment test in correctional settings. Originally developed in the 1970s and now revised for the MMPI-2, the Megargee System provides a method for classifying criminal offenders into groups based on their MMPI-2 profiles. This empirically derived system has been investigated in a wide variety of criminal justice settings including corrections, probation, and parole. It has been tested in minimum, medium, and maximum federal, state, and military correctional institutions, in local jails, in halfway houses, and in forensic mental health units. Its use has been extended to female offenders, older men, and juvenile delinquents. Integrating thirty years of research, this new resource fully evaluates the reliability, validity, sources, and uses of the Megargee system. Classifying Criminal Offenders with the MMPI-2 describes how the system was originally derived and validated and gives instructions on how to classify the original MMPI and MMPI-2 profiles of male and female criminal offenders. It integrates the findings of more than one hundred independent studies with previously unpublished original research investigating the characteristics of each of the system's empirically derived male and female types. On the basis of these data, the authors recommend the optimal settings, change agents, and treatment programs for each type of offender. As the basic reference work on the MMPI-2 Megargee system, this volume will be an essential resource for criminal justice practitioners, psychologists interested in the MMPI-2, and researchers in criminal classification and personality assessment. Edwin I. Megargee is professor of psychology at Florida State University and recognized as the foremost expert on the use of the MMPI instruments in correctional settings. Joyce L. Carbonell is professor of psychology at Florida State University. Martin J. Bohn Jr. is chief psychologist at Florida State Hospital. Greta L. Sliger is a clinical psychologist in Tallahassee, Florida.

Thanks to its size and geographic position, Texas is home to nearly 30,000 species of insects, likely making its insect population the most diverse in the nation. Ranging from eastern and western to temperate and tropical species, this vast array of insects can be difficult to identify. In Common Insects of Texas and Surrounding States, John and Kendra Abbott have created the state's most comprehensive field guide to help readers recognize and understand these fascinating creatures.

Containing 1,300 species and more than 2,700 photographs, this guide offers a wealth of information about the characteristics and behaviors of Texas's insects. Each chapter introduces an order with a discussion of general natural history and a description of other qualities helpful in distinguishing its various species, while every species' entry provides a state map showing where it is most likely to be found, a key displaying its seasonal distribution, information about its habitat, and corresponding photos. Featuring colored tabs for quick reference, a glossary, and information about other arthropods, this guide is the perfect companion for anyone wanting to identify and learn more about the many insects of Texas.

Woody plants and cacti are vital staple foods for cattle, deer, and other wildlife in drought-prone South Texas. Ranchers, hunters, and land managers who need to identify these plants relied on A Field Guide to Common South Texas Shrubs (published by Texas Parks & Wildlife Press and distributed by UT Press), which is no longer in print. Responding to ongoing demand for the book, Richard B. Taylor has completely updated and expanded it with seven new species, new photographs, and a quick plant identification key.

Common Woody Plants and Cacti of South Texas is an easy-to-use plant identification field guide to fifty species that comprise an estimated 90 percent of the region’s woody canopy cover north of the Rio Grande Valley. The species accounts include photographs, descriptions, values to livestock and wildlife, and nutritional information. The book also provides historical perspectives and information on brush management techniques and strategies, as well as habitat appraisal. All of these resources will enable readers to analyze stocking rates for deer and cattle, evaluate a prospective hunting lease, or buy property.

This comprehensive book covers the state-of-the-art in control-oriented modelling and identification techniques. With contributions from leading researchers in the subject, Control-oriented Modelling and Identification: Theory and practice covers the main methods and tools available to develop advanced mathematical models suitable for control system design, including: object-oriented modelling and simulation; projection-based model reduction techniques; integrated modelling and parameter estimation; identification for robust control of complex systems; subspace-based multi-step predictors for predictive control; closed-loop subspace predictive control; structured nonlinear system identification; and linear fractional LPV model identification from local experiments using an H1-based glocal approach.