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Daniel Landry is given the opportunity he has been looking for all his life. All he has to do is look the other way and falsify a few documents. Since he believes right and wrong are relative and his parents' belief in God is a lie, the choice, to him, is obvious. However, a freak accident on a golf course throws Daniel into the true reality--an intense battle between good and evil. Will Daniel be able to rescue his family and his hometown from the grip of the demons controlling them before it's too late?
What dwells in the depths of the Suicide Forest? Lore whispers of lost souls and malevolent beings. But when Chad and his film crew venture off the beaten path and into the notorious x-zone, they must confront a much more sinister entity: themselves. In this dark and provocative story, Chad finds, not only new strength through the bonds of friendship, but the ultimate revelation about the value of life and the significance of the things we leave behind. Join Chad as he is forced to face the demons of his past to find hope for the future¿ if he can find his way out of the forest.
This report examines the co-operation potential of West African regions, the structure of cross-border policy networks, and the spatial vision that policy makers have of cross-border co-operation.
He's the cocky celebrity goalie who wants a fresh start. She's the ruthless assistant coach who wants him off her team. Working together to win a championship will be no easy score. Why would star goaltender Daniel Evans join the struggling Toronto Towers? Assistant coach Lauryn Jackson is skeptical of his motives and overrated skillset. Daniel just wants to get on the good side of Lauryn's skirt-suit and stilettos, but she doesn't have time for his smug, perfectly scruffy face. She's determined to lead the Towers to victory in her own way, but the men in power have different plans. Lauryn soon realizes she could use Daniel's influence to her advantage. As the Towers chase an elusive champio...
She was born to be a thief. To save the world, she will have to become a queen… Zoey Donovan-Quinn is growing restless. After months of searching, her crew hasn’t been able to locate the resting place of the one man who could save Daniel. While they frantically continue their quest, Zoey is still struggling to recover from the devastating losses she suffered in Faery. In the midst of her grief and worry, Louis Marini appears and demands the Blood Stone he forced Zoey to steal. Zoey has no other choice than to hand it over. When the giant ruby’s true nature is revealed, Zoey discovers she has given their greatest enemy a weapon of unimaginable power. Equipped with the Blood Stone, Marin...
Meg Pearce is haunted by a death that may never be explained, … and so she can never truly be healed. During the summer before she started college, she and her boyfriend went on a camping trip that ended with one of their friends disappearing. In one fell swoop of destruction, she lost not only a friend but her own innocence, her future, her best friend and lover, her everything. Seventeen years later, Meg’s career as an anthropologist drives her to seek understanding about why things happen and the answers for human behavior. Those questions that torment her have her returning to the same campsite of the tragedy that defines her life. A part of her hopes to solve the mystery that has pl...
An accessible, contemporary introduction to the methods for determining cause and effect in the Social Sciences “Causation versus correlation has been the basis of arguments—economic and otherwise—since the beginning of time. Causal Inference: The Mixtape uses legit real-world examples that I found genuinely thought-provoking. It’s rare that a book prompts readers to expand their outlook; this one did for me.”—Marvin Young (Young MC) Causal inference encompasses the tools that allow social scientists to determine what causes what. In a messy world, causal inference is what helps establish the causes and effects of the actions being studied—for example, the impact (or lack thereof) of increases in the minimum wage on employment, the effects of early childhood education on incarceration later in life, or the influence on economic growth of introducing malaria nets in developing regions. Scott Cunningham introduces students and practitioners to the methods necessary to arrive at meaningful answers to the questions of causation, using a range of modeling techniques and coding instructions for both the R and the Stata programming languages.