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Mary L. Trump—clinical psychologist and niece of Donald Trump—uses her professional training and personal experience to analyze how the Trump family’s patterns of emotional neglect, competition, and fear‑based hierarchy shaped Donald Trump’s personality and behavior.

The introduction frames the book as both a psychological case study and a family memoir. Mary argues that Donald Trump’s public persona cannot be understood without examining the environment in which he was raised: a household dominated by Fred Trump’s rigid expectations, conditional approval, and relentless focus on winning. She positions her narrative as an attempt to explain how these forces produced a man who, in her view, poses risks to political stability, social cohesion, and public welfare.

How to Enjoy Architecture is a friendly, accessible guide that encourages readers to slow down, look closely, and rediscover the pleasure of experiencing buildings. Charles Holland—an architect, writer, and teacher—invites you to move beyond the everyday blur of familiar structures and instead engage with architecture through curiosity, observation, and enjoyment.

Holland breaks architecture into key elements such as materials, structure, space, and use, showing how each contributes to the character and meaning of a building. He illustrates these ideas with examples ranging from Queen Anne houses to high‑tech towers, helping readers appreciate both traditional and contemporary styles. The book blends practical guidance with thoughtful reflection, making it suitable for beginners, enthusiasts, and anyone who wants to understand the built environment more deeply.

“Before he was one of Variety’s “10 Comics to Watch” and a comedy sensation followed by millions, Kountry Wayne found few legit options for a poor Black man coming from a small-minded country town in Georgia. For many years he turned to running his o

Introduction to Business Data Mining was developed to introduce students, as opposed to professional practitioners or engineering students, to the fundamental concepts of data mining. Most importantly, this text shows readers how to gather and analyze large sets of data to gain useful business understanding. A four part organization introduces the material (Part I), describes and demonstrated basic data mining algorithms (Part II), focuses on the business applications of data mining (Part III), and presents an overview of the developing areas in this field, including web mining, text mining, and the ethical aspects of data mining. (Part IV). The author team has had extensive experience with the quantitative analysis of business as well as with data mining analysis. They have both taught this material and used their own graduate students to prepare the text’s data mining reports. Using real-world vignettes and their extensive knowledge of this new subject, David Olson and Yong Shi have created a text that demonstrates data mining processes and techniques needed for business applications.