From the award-winning author of Finding Mighty, a moving middle-grade novel about finding your place by following your heart Karthik Raghavan is good at remembering things. Like his bike routes. Or all the reasons he likes Juhi Shah—even if she doesn’t even know he exists. It doesn't help that she seems to have a crush on his arch nemesis, Jacob Donnell, whose only job is to humiliate Karthik (and get his name wrong). Then Karthik's luck changes when he secretly agrees to be in a play about the famous musician, Leonard Bernstein. But he can't tell his parents. The family store is in jeopardy, and they need him delivering groceries on his bike to help save it. His mom is also worried about the Financial Crisis, and she's convinced that studying hard and staying focused is the only way to succeed. But Karthik is having fun being Lenny. Besides, what if acting is Karthik’s special talent? And what if acting is the one way to catch Juhi Shah’s attention? With all the pressure from his family to succeed, will Karthik be able to really imagine and hope when he’s not sure what will happen next?

Along the train lines north of New York City, twelve-year-old neighbors Myla and Peter search for the link between Myla’s necklace and the disappearance of Peter’s brother, Randall. Thrown into a world of parkour, graffiti, and diamond-smuggling, Myla and Peter encounter a band of thugs who are after the same thing as Randall. Can Myla and Peter find Randall before it’s too late, and their shared family secrets threaten to destroy them all? Drawing on urban art forms and local history, Finding Mighty is a mystery that explores the nature of art and the unbreakable bonds of family.

A Wharton professor and tech entrepreneur examines how algorithms and artificial intelligence are starting to run every aspect of our lives, and how we can shape the way they impact us Through the technology embedded in almost every major tech platform and every web-enabled device, algorithms and the artificial intelligence that underlies them make a staggering number of everyday decisions for us, from what products we buy, to where we decide to eat, to how we consume our news, to whom we date, and how we find a job. We've even delegated life-and-death decisions to algorithms--decisions once made by doctors, pilots, and judges. In his new book, Kartik Hosanagar surveys the brave new world of algorithmic decision-making and reveals the potentially dangerous biases they can give rise to as they increasingly run our lives. He makes the compelling case that we need to arm ourselves with a better, deeper, more nuanced understanding of the phenomenon of algorithmic thinking. And he gives us a route in, pointing out that algorithms often think a lot like their creators--that is, like you and me. Hosanagar draws on his experiences designing algorithms professionally--as well as on history, computer science, and psychology--to explore how algorithms work and why they occasionally go rogue, what drives our trust in them, and the many ramifications of algorithmic decision-making. He examines episodes like Microsoft's chatbot Tay, which was designed to converse on social media like a teenage girl, but instead turned sexist and racist; the fatal accidents of self-driving cars; and even our own common, and often frustrating, experiences on services like Netflix and Amazon. A Human's Guide to Machine Intelligence is an entertaining and provocative look at one of the most important developments of our time and a practical user's guide to this first wave of practical artificial intelligence.

"Origami and Related Mathematics" is a children's workbook with real origami instructions and mathematics problems. Each origami instruction has step by step pictures and is easy to follow. Each math topic is explained carefully and included practice problems. Overall, there are thirty origami topics and thirty math topics, making this workbook perfect for each day of a month.

Animals make for terrible technology. The technological use of animals--making food, drugs, clothing, and cosmetics out of animal material--will cease. A cow takes over one year to grow, "wastes" over ninety percent of what it's fed, and cannot be innovated much further. After Meat explains the fundamental limits of animal technology in terms of physics and biology. Replacement technology such as microbial fermentation will surpass those limits. Eventually, we'll have food that is better in every way--in terms of taste, cost, nutrition, resource consumption, and ethics--because we won't use animals to produce it. Along the way, After Meat leads us through a veritable forest of adjacent topics. We wade into evolution and reductivism, broach consciousness and the Multiverse, dive into economics and policy, bounce from weather prediction to the problem of hunger to the morality of eating plants. In sum, we ineluctably conclude that our future has little room for animal technology, and that future will be better for it.

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Development of strategies to assist the movement of poorly permeable molecules across biological barriers has long been the goal of drug delivery science. In the last three decades, there has been an exponential increase in advanced drug delivery systems that aim to address this issue. However, most proprietary delivery technologies that have progressed to clinical development are based on permeation enhancers (PEs) that have a history of safe use in man. This Special Issue entitled “Transmucosal Absorption Enhancers in the Drug Delivery Field” aims to present the current state-of-the-art in the application of PEs to improve drug absorption. Emphasis is placed on identification of novel permeation enhancers, mechanisms of barrier alteration, physicochemical properties of PEs that contribute to optimal enhancement action, new delivery models to assess PEs, studies assessing safety of PEs, approaches to assist translation of PEs into effective oral, nasal, ocular and vaginal dosage forms and combining PEs with other delivery strategies.