The first novel in a new fiction series based on the hugely popular online game, Animal Jam, enjoyed by over 65 million users! Learn all about the origin of the Animal Jam home called Jamaa, a lush natural environment, and its brave, adventurous animal leaders called the Alphas. Welcome to Jamaa, a peaceful place full of forests, canyons, and beaches where all kinds of animals have adventures together! But did you know that Jamaa wasn't always so peaceful? A long time ago, evil phantoms wreaked havoc and destroyed the land. Luckily, brave animal leaders called the Alphas came to the rescue. They battled the phantoms and restored Jamaa to its natural state. Now Jamaa is back to its old self and ready to be explored by you and all the other Animal Jammers! Fans of the popular Animal Jam game (as well as newcomers) are sure to love Call of the Alphas, which expands the online world. And readers will be given exclusive access to new online adventures through a special code in the text!

Alpha is an annual repository for leading-edge research in the New Testament and related texts, and the historical development which the texts imply. Like its older sister journal Warring States Papers, it has a central focus on the methodology of text-based historical research, and includes examples of the application of basic historical and philological methods to texts in other traditions, including Chinese and Homeric Greek. In the past, the early Christian texts have been approached theologically, rather than as historical sources. Christian history has been seen as fully realized in Paul, and all other viewpoints are dismissed as later heresies. But many of the NT texts give hints of a pre-Pauline Christianity, the thing Paul began by persecuting. The work of the Project leads to an unexpectedly full picture of that pattern of early belief and practice. It is this to which we have given the name Alpha Christianity. It turns out to be remarkably close to what many contemporary Christians actually live. This first volume takes up the principal Gospels and other early sources for the teachings of Jesus. It notes evidence for stratification in Mark, leading to the earliest and thus most authoritative stratum of that text. It finds no need to posit a common source for Matthew and Luke, and instead argues for mutual contact between them. Mandaean and Gospel echoes of John the Baptist are compared, the work of William O Walker Jr on interpolations in Paul is continued, and a foundation is laid for the introduction of a new stylistic difference test in v2.

Kyra is an omega whose pack constantly bullies because of how ugly she appears due to the pimples on her face, the pain of having a mother who treats her more like a cursed child is something that she cannot bear, she has never been loved before and being mated to a handsome, strong Alpha that any she-wolf would die to have is more than a dream come true since he has the body of a Greek god and alluring eyes but that dream of hers crushes before her very own eyes as he chooses someone else as his Luna… It gets worse when he does not believe that they are mates. Pain was all I could feel at that very moment as the Alpha’s daughter, Alexa was chosen to be his Luna, it was supposed to be the best day of my life as I was his mate, I was not good enough for him, I thought hiding my face behind a mask was a good idea, so, I would not scare him with my hideous looks but it was a wrong decision that I regretted. I should have known that omegas can never be an Alpha’s mate.

This advanced textbook for business statistics teaches, statistical analyses and research methods utilizing business case studies and financial data with the applications of Excel VBA, Python and R. Each chapter engages the reader with sample data drawn from individual stocks, stock indices, options, and futures. Now in its second edition, it has been expanded into two volumes, each of which is devoted to specific parts of the business analytics curriculum. To reflect the current age of data science and machine learning, the used applications have been updated from Minitab and SAS to Python and R, so that readers will be better prepared for the current industry. This second volume is designed for advanced courses in financial derivatives, risk management, and machine learning and financial management. In this volume we extensively use Excel, Python, and R to analyze the above-mentioned topics. It is also a comprehensive reference for active statistical finance scholars and business analysts who are looking to upgrade their toolkits. Readers can look to the first volume for dedicated content on financial statistics, and portfolio analysis.