BIG DATA, ARTIFICIAL INTELLIGENCE AND DATA ANALYSIS SET Coordinated by Jacques Janssen Data analysis is a scientific field that continues to grow enormously, most notably over the last few decades, following rapid growth within the tech industry, as well as the wide applicability of computational techniques alongside new advances in analytic tools. Modeling enables data analysts to identify relationships, make predictions, and to understand, interpret and visualize the extracted information more strategically. This book includes the most recent advances on this topic, meeting increasing demand from wide circles of the scientific community. Applied Modeling Techniques and Data Analysis 1 is a collective work by a number of leading scientists, analysts, engineers, mathematicians and statisticians, working on the front end of data analysis and modeling applications. The chapters cover a cross section of current concerns and research interests in the above scientific areas. The collected material is divided into appropriate sections to provide the reader with both theoretical and applied information on data analysis methods, models and techniques, along with appropriate applications.

In Psychotherapy Reflections a psychoanalytically-informed patient describes his feelings about his therapeutic relationship and critically examines selected therapy sessions from a nine-month course of treatment. Many texts about psychotherapy are based either on patient narratives or on a clinical model. Psychotherapy Reflections, however, combines patient narrative with probing insight and dream analysis based on the work of noted dream researcher Stanley R. Palombo, M.D., who has shown that dreams serve an information-processing function by matching present and past experience in determining what information will be filtered through for storage in permanent memory.

Type II diabetes is a massive industry, but it's terrible medicine. Insulin resistance is not a malfunction to be fixed. It's the way cells defend themselves against toxicity from too much glucose uptake. Yet conventional medicine insists on overriding those defenses with drugs, forcing cells to take up far too much glucose, simply to clear it from the blood. The results are worsening glucose toxicity, insulin resistance, and heart disease risk. A total re-thinking of type II diabetes is long overdue, and is now here, written by a scientist who has lived through and beaten his own type II diabetes.

A perfume-flavorist's practical description of most of the commercially available perfume and flavor chemicals, with their chemical structure and practical physical data, appearance, odor and flavor type, reported and suggested uses, production and evaluation, with literature references for further details and study. Volume III Monographs 2929: TETROHYDRO-2-(para-TOROLOXY)-PYRAN to 3102: ZINGIBERENE Also includes reprise of Monographs 2926/2927 Tables of odors and flavors, classified in basic groups Explanation to Index Radicle synonym list Index to all volumes Literature References

Physician and diagnostician William Morgan worked in the late 19th century: this book offers an understanding of diabetes mellitus in his time. Although many of the diagnostic tenets and symptoms of diabetes were discovered and known, the methods of treating the illness were sorely lacking. The discovery of insulin was decades away; as such the remedies noted within this text are obsolete - chemical concoctions consisting of ingredients like Sulphur, opium, phosphates, and the inhalation of oxygen gas. A chapter is devoted to now-discredited homeopathic treatments. While the general symptoms of the illness are known, distinctions between Type 1 and Type 2 diabetes was mpt. The author notes the connection of diabetes with sugar, and is able to make recommendations with respect to dietary intake and nutrition that carry some relevance to the modern-day clinic. Recipes are appended, attested by other physicians as favorable. Overwhelmingly however, we find 19th century medicine lacking for diabetes.

The world of single-board computing puts powerful coding tools in the palm of your hand. The portable Raspberry Pi computing platform with the power of Linux yields an exciting exploratory tool for beginning scientific computing. Science and Computing with Raspberry Pi takes the enterprising researcher, student, or hobbyist through explorations in a variety of computing exercises with the physical sciences. The book has tutorials and exercises for a wide range of scientific computing problems while guiding the user through: Configuring your Raspberry Pi and Linux operating system Understanding the software requirements while using the Pi for scientific computing Computing exercises in physics, astronomy, chaos theory, and machine learning