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This book is about a young boy’s journey with a harrowing illness called PANDAS, an acronym for Pediatric Autoimmune Neuropsychiatric Disorder Associated with Streptococcus. He wakes up one morning, and overnight, is stricken with unusual and frightening symptoms that turn his world upside down. Some of the symptoms he experiences are anxiety & OCD. This happened all because an autoimmune response caused dysfunctional antibodies to invade the basal ganglia of the brain instead of fighting off the streptococcus bacteria. The boy has never even heard of PANDAS. After a long road, filled with doctor visits, blood draws, procedures & surgery, he is finally on the road to recovery. In time, he is able to forget about this harrowing illness. Then, the only PANDAS he knows of are the black and white bears at the zoo. www.PANDAS-DISORDER.com Keywords - PANDAS, PANS, Pediatric, Autoimmune, Neurological, Disorder, Streptococcus, Anxiety, OCD, Antibiotic.
A funny and whimsical alphabet that encourages children to try new foods.
PANDAS (Pediatric Autoimmune Neuropsychiatric Disorders Associated with Strep) and PANS (Pediatric Acute-Onset Neuropsychiatric Syndrome) occur when an abnormal immune response produces brain inflammation, leading to unusual psychological symptoms in children. Symptoms can include OCD, tics, ADHD, anxiety disorders, sensory issues and marked personality changes. This practical handbook explains how educators can distinguish between these symptoms and pre-existing conditions, and offers strategies for supporting students with PANDAS and PANS in school settings. Contributions from experts provide educators with the understanding needed to be able to collaboratively identify PANDAS and PANS, and carry out effective interventions. As the rate of incidence of PANDAS and PANS increases, this book will be an essential resource for school staff in getting to grips with these complex disorders and overcoming the challenges they present.
When ten-year-old Journey Song hears that two pandas are being held in a warehouse in her neighborhood, she worries that they may be hungry, cold and lonely. Horrified to learn that the pandas, originally destined for a zoo in Washington, might be shipped back to China because of a diplomatic spat between China and the United States, Journey rallies her friends and neighbors on the poverty-stricken Eastside. Her infectious enthusiasm for all things panda is hard to resist, and soon she's getting assistance from every corner of her tight-knit neighborhood.
The story of one mother’s fight against the medical establishment to prove the link between infection-triggered PANDAS and her son’s sudden-onset OCD and Tourette syndrome. The summer before entering sixth grade, Sammy, a bright and charming boy who lived on the coast of Maine, suddenly began to exhibit disturbing behavior. He walked and ate with his eyes shut, refused to bathe, burst into fits of rage, slithered against walls, and used his limbs instead of his hands to touch light switches, doorknobs, and faucets. Sammy’s mother, Beth, already coping with the overwhelming responsibility of raising three sons alone, watched helplessly as her middle child descended into madness. Sammy was soon diagnosed with obsessive-compulsive disorder (OCD) and later with Tourette syndrome. Unwilling to accept the doctors’ prognoses for lifelong mental illness and repeated hospitalizations, Beth fought to uncover what was causing this decline. Beth’s quest took her to the center of the medical community’s raging debate about whether OCD and Tourette syndrome can be caused by PANDAS (Pediatric Autoimmune Neuropsychiatric Disorders Associated with Streptococcal Infections). With the battle lines firmly drawn, Beth searched until she found two cutting-edge doctors who answered that question with a definitive yes. Together, they cured Sammy. Five years later, he remains symptom free.
Is skipping school cool or will the pandas learn a new lesson? Mental Health: Role Models.
Does your child have rages, OCD, tics, aggressive behavior, prolonged tantrums and/or anxiety? Is your child exhibiting sudden behavioral changes or a developmental regression? Your child may have PANS. PANS (Pediatric Acute-onset Neuropsychiatric Syndrome) is an umbrella term which includes diagnoses such as PANDAS, PITANDS, and Autoimmune Encephalitis--all of which describe a condition marked by concerning psychiatric and physical symptoms that often appear suddenly. Children in the US are being diagnosed with PANS at a very concerning rate. What is behind this epidemic? What makes a child vulnerable to these conditions? Most importantly, what can be done to bring to bring our kids back to good health? In this book you will learn:
Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6, the second edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You’ll learn the latest versions of pandas, NumPy, IPython, and Jupyter in the process. Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It’s ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and related material are available on GitHub. Use the IPython shell and Jupyter notebook for exploratory computing Learn basic and advanced features in NumPy (Numerical Python) Get started with data analysis tools in the pandas library Use flexible tools to load, clean, transform, merge, and reshape data Create informative visualizations with matplotlib Apply the pandas groupby facility to slice, dice, and summarize datasets Analyze and manipulate regular and irregular time series data Learn how to solve real-world data analysis problems with thorough, detailed examples
Once a typical boy, Owen's journey with PANS/PANDAS began after an infection that changed everything. Abruptly faced with severe anxiety, OCD, tics, and rage, Owen finds himself navigating a world full of doctors and medical tests. Owen's path towards health is sometimes straight and easy, but sometimes it zig-zags, and he must find another way.
The Hands-On, Example-Rich Introduction to Pandas Data Analysis in Python Today, analysts must manage data characterized by extraordinary variety, velocity, and volume. Using the open source Pandas library, you can use Python to rapidly automate and perform virtually any data analysis task, no matter how large or complex. Pandas can help you ensure the veracity of your data, visualize it for effective decision-making, and reliably reproduce analyses across multiple datasets. Pandas for Everyone brings together practical knowledge and insight for solving real problems with Pandas, even if you’re new to Python data analysis. Daniel Y. Chen introduces key concepts through simple but practical examples, incrementally building on them to solve more difficult, real-world problems. Chen gives you a jumpstart on using Pandas with a realistic dataset and covers combining datasets, handling missing data, and structuring datasets for easier analysis and visualization. He demonstrates powerful data cleaning techniques, from basic string manipulation to applying functions simultaneously across dataframes. Once your data is ready, Chen guides you through fitting models for prediction, clustering, inference, and exploration. He provides tips on performance and scalability, and introduces you to the wider Python data analysis ecosystem. Work with DataFrames and Series, and import or export data Create plots with matplotlib, seaborn, and pandas Combine datasets and handle missing data Reshape, tidy, and clean datasets so they’re easier to work with Convert data types and manipulate text strings Apply functions to scale data manipulations Aggregate, transform, and filter large datasets with groupby Leverage Pandas’ advanced date and time capabilities Fit linear models using statsmodels and scikit-learn libraries Use generalized linear modeling to fit models with different response variables Compare multiple models to select the “best” Regularize to overcome overfitting and improve performance Use clustering in unsupervised machine learning