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  OCN Study Guide 2024-2025 -...

  Shawn Blake

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  The critical mistake that sabotages OCN exam scores (and how you can avoid it). 
  Passing the OCN exam isn’t a matter of memorizing information or knowing everything there is to know. 
    
  It’s about knowing what specifically is covered on the exam itself and having a personalized plan for filling in any knowledge gaps. 
    
  That’s what makes this OCN Exam guide different. Rather than leaving you to figure out how to schedule your study sessions, this book provides a 14-week preparation roadmap along with key concepts to know for each section of the exam. It specifies particular topics you’ll most likely be tested on and even shows you the percentage breakdown of all the questions by each section. 
    
  Inside, you’ll discover: 
   2 full-length exams (330 questions) to practice with, along with detailed answer explanations for each to help you spot any areas of knowledge to focus onA special study “hack” that makes it easier to stay focused and prevent information overloadThe vital pre-practice step that helps you get the most out of any OCN practice test you take (don’t attempt a single practice question until you’ve done this)Detailed profiles of the 18 cancer care symptoms to know about (including etiology, frequency, and treatment options)Which oncological emergencies are you tested on, and important facts to remember for each one 
    
  And much more! 
    
  So whether you’re an experienced oncology nurse or still fairly new to nursing, this guide can not only help you focus on the right topics but also keep you on the path toward earning your certification. 
    
  Dominate the OCN exam and take your career to the next level.

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  Mirror horse

  Tamara Williamson

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  English/Canadian indie musician Tamara Williamson offers an unbridled account of a life in the world of horses. 
  From her first clever little bay pony, Stroller, to brilliant ribbon-winning Fletcher, Tamara Williamson recalls the many significant horses in her life, grappling with what it means to be horse-obsessed and what drives this desire to connect with horses. As Williamson discovers, during the tumultuous years of relationships with people and horses, these complicated equine creatures reflect back to us our best and worst selves. 
  Woven throughout the stories of individual horses in Williamson’s life is her own story of a creative, chaotic, challenging and adventurous life. Raised by an eccentric family, with a distant mother who disappeared into alcoholism and a charismatic father who left one sunny morning with a younger woman, Williamson struggles with dyslexia and a sense of increasing detachment. Horses, and the exacting sport of dressage, provide her with opportunities to connect, sometimes imperfectly. Her drive for accomplishment in equestrian sports, whether as a trainer or a rider, is regularly at odds with the fear that lingers from a traumatic childhood riding accident. 
  While reckoning with the financial and psychological expense of training and competition, and with the multitude of industries that benefit from horses, Williamson never loses sight of the enormous burden of responsibility she feels toward horses and the respect she has for their individual characters, memories and instincts. On the surface, The Mirror Horse is a book about horses—but beyond the bridles and braided manes, Williamson crafts a complex story about courage, family, and the unexpected places where we find a reflection of our souls: As a rider you can confuse yourself with being the teacher, but horses are constantly showing us something important. They are holding up a mirror.

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  Universe Unveiled - From Birth...

  Dirk Fallon

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  This book takes you on an unforgettable journey across the vast stretches of space and time. In From Big Bang to Black Holes, the story begins with the birth of the universe, tracing its rapid expansion from the singularity at the beginning of time. From the primordial fireball to the formation of galaxies, stars, and planets, this section delves into the powerful forces and events that set the stage for everything we know today. 
  From Light to Darkness explores the cosmic dance of light and shadow as stars ignite and eventually collapse into black holes. We examine the interplay between the visible universe, powered by light, and the mysterious dark regions governed by gravity. This section looks at how light travels across vast expanses and what happens when light is trapped forever within the gravitational pull of black holes. 
  Finally, Into the Abyss takes us into the most enigmatic realms of space—black holes themselves. What lies beyond the event horizon? Is it an end or a doorway to something else entirely? This section explores the science behind black holes, their role in the fabric of spacetime, and the possibility of life beyond the abyss, with mind-bending theories of quantum mechanics and cosmic destiny.

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  Statistical Analysis for...

  Daniel Garfield

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  Dive into the fascinating realm of data with "Statistical Analysis for Beginners: A Hands-On Approach to Unraveling Data Mysteries and Transforming Numbers into Knowledge." This comprehensive guide is crafted for those seeking to demystify the world of statistics and harness the power of data in their hands.

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  Manifesto for the Revitalisation...

  Miguel Rebelo

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  The housing crisis in Portugal serves to illustrate a problem that has implications beyond the borders of the country, shedding light on challenges that are faced by major European and global cities. The rise in housing prices, driven by real estate speculation, the growth of tourism and the influx of foreign investment, has made it increasingly challenging for many in the population, especially the middle and lower classes, to access home ownership or renting. 
  The digitalisation of work has opened the possibility for highly qualified professionals to consider where they would like to live, regardless of the physical location of their job. Cities like Lisbon and Porto have become increasingly attractive destinations, offering a good quality of life combined with a range of professional opportunities. Nevertheless, this phenomenon has placed additional strain on the real estate market, leading to rising prices and the displacement of residents to the outskirts. 
  The housing policies that have been adopted thus far have not been as effective as might have been hoped, and in some cases may even have had the opposite effect. It seems that measures such as strict rent control, poorly targeted subsidies and the massive construction of new housing without proper urban and infrastructural planning have not solved the problem, and in some cases may have made it worse. Perhaps it would be beneficial to reconsider these approaches, acknowledging their shortcomings and adapting them to reflect the current situation. 
  It may be worth considering rehabilitating vacant buildings as a viable and sustainable solution. By restoring existing buildings, we can explore ways to increase the supply of affordable housing, revitalise run-down urban areas and preserve historical and cultural heritage to promote more inclusive and sustainable cities.

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  Big Data Analytics -...

  Craig Dames

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  Big Data Analytics is revolutionizing the way businesses, governments, and organizations operate. In an age where data is generated at an unprecedented scale, analyzing and interpreting this information has become crucial for making informed decisions. Big Data Analytics refers to the process of examining vast and complex data sets to uncover patterns, trends, correlations, and insights that can drive strategic actions. 
  The significance of Big Data Analytics lies in its ability to transform raw data into valuable information. Organizations across various industries—such as healthcare, finance, retail, and technology—leverage analytics to enhance efficiency, improve customer experiences, and gain a competitive edge. Traditional data processing methods are often inadequate for handling the volume, velocity, and variety of data generated today. As a result, businesses rely on advanced analytical techniques, machine learning algorithms, and specialized tools to process and interpret their data effectively. 
  One of the primary roles of Big Data Analytics is supporting decision-making processes. By analyzing large datasets, organizations can identify emerging trends, detect anomalies, and make data-driven predictions. For example, e-commerce platforms analyze customer behavior to recommend products tailored to individual preferences, while financial institutions use predictive analytics to assess credit risks and detect fraudulent activities. Similarly, in the healthcare industry, patient data is analyzed to predict disease outbreaks, optimize treatment plans, and improve overall patient care.

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