OpenLLM-France/wikimedia huggingface dataset:
# Lentis/Tazers and Stun Guns

Hello Messrs Cameron, Chawan and Ellis! You may begin your chapter here. -PN
Initial source search yielded the following results:
ER/Police Implications
Introduction of the Taser into British policing. Implications for UK emergency departments: an overview of electronic weaponry. A Bleetman, R Steyn, C Lee. Emerg Med J. 2004 March; 21(2): 136–140.
Relation of Taser (Electrical Stun Gun) Deployment to Increase in In-Custody Sudden Deaths. Byron K. Lee MDa, Eric Vittinghoff PhDc, Dean Whiteman BSa, Minna Parka, Linda L. Lau BSb and Zian H. Tseng MD. The American Journal of Cardiology. Volume 103, Issue 6, 15 March 2009, Pages 877-880.
Review article: Emergency department implications of the TASER. Megan Robb, Benjamin Close, Jeremy Furyk and Peter Aitken, Emergency Department, The Townsville Hospital, Townsville, Queensland, Australia. Source: EMERGENCY MEDICINE AUSTRALASIA Volume: 21 Issue: 4 Pages: 250-258 Published: AUG 2009
Safety aspects
Electrical Parameters of Projectile Stun Guns. Wayne C McDaniel, Member, IEEE, Andrew Benwell, Scott Kovaleski, Member, IEEE.
Cardiac Effects of Electrical Stun Guns: Does Position of Barbs Contact Make a Difference? DHANUNJAYA LAKKIREDDY, M.D.,* DONALD WALLICK,† ATUL VERMA, M.D.,‡ KAY RYSCHON, M.S.,* WILLIAM KOWALEWSKI, B.S.,† OUSSAMA WAZNI, M.D.,† JAGDISH BUTANY, M.D.,§ DAVID MARTIN, M.D.,† and PATRICK J.TCHOU, M.D.†. Pacing & Clinical Electrophysiology Apr2008, Vol. 31 Issue 4, p398 11p.
Pulse Variations of a Conducted Energy Weapon (Similar to the TASER((R)) X26 Device): Effects on Muscle Contraction and Threshold for Ventricular Fibrillation. Charles W. Beason,1 M.S.; James R. Jauchem,2 Ph.D.; C. D. Clark III,1 B.S.; James E. Parker,1 M.S.; and David A. Fines,1 B.S. JOURNAL OF FORENSIC SCIENCES Volume: 54 Issue: 5 Pages: 1113-1118 Published: SEP 2009
# LMIs in Control/Tools/Elimination of Variables/Variable Elimination in a Partition Matrix

WIP, Description in progress
Two basic lemmas treat the elimination of variables in a partitioned matrix.

## Lemma 1

Consider the matricies $Z={\begin{bmatrix}Z_{11}&Z_{12}\\Z_{12}^{T}&Z_{22}\end{bmatrix}}$, $Z_{11}\in \mathbb {R} ^{n\times n}$, be symmetric. Then, there exists a symmetric matrix $X$ such that
${\begin{bmatrix}Z_{11}-X&Z_{12}&X\\Z_{12}^{T}&Z_{22}&0\\X&0&-X\end{bmatrix}}<0$
if and only if
$Z={\begin{bmatrix}Z_{11}&Z_{12}\\Z_{12}^{T}&Z_{22}\end{bmatrix}}<0$.

## Lemma 2

Let $Z_{ij}$, $i=1,2,3,j=i,\cdots ,3$, be given matrices of appropriate dimensions. Then there exists a matrix $X$ such that
${\begin{bmatrix}Z_{11}&Z_{12}&Z_{13}\\Z_{12}^{T}&Z_{22}&Z_{23}+X^{T}\\Z_{13}^{T}&Z_{23}^{T}+X&Z_{33}\end{bmatrix}}<0$
if and only if
$Z={\begin{bmatrix}Z_{11}&Z_{12}\\Z_{12}^{T}&Z_{22}\end{bmatrix}}<0$, $Z={\begin{bmatrix}Z_{11}&Z_{13}\\Z_{13}^{T}&Z_{33}\end{bmatrix}}<0$
In this case, $X$ is given by
$X=Z_{13}^{T}Z_{11}^{-1}Z_{12}-Z_{23}^{T}$.
WIP, additional references to be added

## External Links

A list of references documenting and validating the LMI.
* - LMI in Control Systems Analysis, Design and Applications
# LMIs in Control/Tools/Matrix Norm Minimization

LMIs in Control/Tools/Matrix Norm Minimization

## The System

    ${\begin{aligned}A(x)=A_{0}+A_{1}x_{1}+...+A_{n}x_{n}\end{aligned}}$
Note that ${\begin{aligned}A_{i},\quad i=1,2,...,n\end{aligned}}$ are symmetric matrices.

## The Data

    ${\begin{aligned}A_{0},A_{1},...,A_{n}\quad {\text{are given matrices.}}\end{aligned}}$

## The Optimization Problem

Find
${\begin{aligned}x=[x_{1}\quad x_{2}...x_{n}]\end{aligned}}$
to minimize,
${\begin{aligned}J(x)=||A(x)||_{2}\end{aligned}}$
According to Lemma 1.2 in [1] page 11, the following statements are equivalent
${\begin{aligned}A^{T}A-t^{2}I\leq 0\iff {\begin{bmatrix}-tI&A\\A^{T}&-tI\end{bmatrix}}\leq 0\\\end{aligned}}$

## The LMI: Minimization of Maximum Eigenvalue of a Matrix

Mathematical description of the LMI formulation:
       ${\begin{aligned}{\text{min}}\;\quad t:&\\{\text{s.t.}}\quad {\begin{bmatrix}-tI&A(x)\\A(x)^{T}&-tI\end{bmatrix}}\leq 0\\\end{aligned}}$

## Conclusion:

This problem is a slight generalization of the eigenvalue minimization problem for a matrix.
${\begin{aligned}x_{i},\quad i=1,2,...,n\quad {\text{and}}\quad t>0\end{aligned}}$ are parameters to be optimized

## Implementation

A link to Matlab codes for this problem in the Github repository:
https://github.com/asalimil/LMI-for-Matrix-Norm-Minimization

## Related LMIs

LMI for Matrix Norm Minimization
LMI for Schur Stabilization

## External Links

A list of references documenting and validating the LMI.
* - LMI in Control Systems Analysis, Design and Applications
# LMIs in Control/Tools/Maximum Singular Value of a Complex Matrix

LMIs in Control/Tools/Maximum Singular Value of a Complex Matrix
Maximum Singular Value of a Complex Matrix

## The System

Consider $A\in \mathbb {R} ^{n\times m}$ as well as $\gamma$. A maximum singular value of a matrix $A$ is less than $\gamma$ if and only if $AA^{H}<\gamma ^{2}I$, where $A^{H}$ is the conjugate transpose or Hermitian transpose of the matrix $A$.

## The Data

The matrix $A$ is the only data required.

## The LMI: Maximum Singular Value of a Complex Matrix

Using the Shur complement procedure, the following LMIs can be constructed:
       ${\begin{aligned}{\bar {\sigma }}(A)<\gamma \\{\begin{bmatrix}\gamma I&A\\A^{H}&\gamma I\end{bmatrix}}&>0\\\end{aligned}}$
The following LMI is also equivalent:
       ${\begin{aligned}{\bar {\sigma }}(A)<\gamma \\{\begin{bmatrix}\gamma I&A^{H}\\A&\gamma I\end{bmatrix}}&>0\\\end{aligned}}$

## Conclusion:

The results from this LMI will give the maximum complex value of the matrix $A$:
       ${\begin{aligned}{\bar {\sigma }}(A)<\gamma \end{aligned}}$

## Implementation

* Maximum Singular Value Example

## Related LMIs

* Minimum singular value of a complex matrix

## External Links

* LMI Methods in Optimal and Robust Control - A course on LMIs in Control by Matthew Peet.
* LMI Properties and Applications in Systems, Stability, and Control Theory - A List of LMIs by Ryan Caverly and James Forbes.
* LMIs in Systems and Control Theory - A downloadable book on LMIs by Stephen Boyd.
# LMIs in Control/Tools/Minimization of Maximum Eigenvalue of a Matrix

LMIs in Control/Tools/Minimization of Maximum Eigenvalue of a Matrix

## The System

    ${\begin{aligned}A(x)=A_{0}+A_{1}x_{1}+...+A_{n}x_{n}\end{aligned}}$
Note that ${\begin{aligned}A_{i},\quad i=1,2,...,n\end{aligned}}$ are symmetric matrices.

## The Data

    ${\begin{aligned}A_{0},A_{1},...,A_{n}\quad {\text{are given matrices.}}\end{aligned}}$

## The Optimization Problem

Find
${\begin{aligned}x=[x_{1}\quad x_{2}...x_{n}]\end{aligned}}$
to minimize,
${\begin{aligned}J(x)=\lambda _{max}(A(x))\end{aligned}}$
According to Lemma 1.1 in [1] page 10, the following statements are equivalent
${\begin{aligned}\lambda _{max}(A(x))\leq t\iff A(x)-tI\leq 0\end{aligned}}$

## The LMI: Minimization of Maximum Eigenvalue of a Matrix

Mathematical description of the LMI formulation:
       ${\begin{aligned}{\text{min}}\;\quad t:&\\{\text{s.t.}}\quad {\begin{bmatrix}A(x)-tI\end{bmatrix}}&\leq 0\end{aligned}}$

## Conclusion:

${\begin{aligned}x_{i},\quad i=1,2,...,n\quad {\text{and}}\quad t>0\end{aligned}}$ are parameters to be optimized

## Implementation

A link to Matlab codes for this problem in the Github repository:
https://github.com/asalimil/LMI-for-Minimizing-the-Maximum-Eigenvalue-of-Matrix

## Related LMIs

LMI for Matrix Norm Minimization
LMI for Schur Stabilization

## External Links

A list of references documenting and validating the LMI.
* - LMI in Control Systems Analysis, Design and Applications
# LMIs in Control/Tools/Notion of Matrix Positivity

WIP, Description to be added

### Notation of Positivity

A symmetric matrix $A\in \mathbb {R} ^{n\times n}$ is defined to be:
positive semidefinite, $(A\geq 0)$, if $x^{T}Ax\geq 0$ for all $x\in \mathbb {R} ^{n},x\neq \mathbf {0}$.
positive definite, $(A>0)$, if $x^{T}Ax>0$ for all $x\in \mathbb {R} ^{n},x\neq \mathbf {0}$.
negative semidefinite, $(-A\geq 0)$.
negative definite, $(-A>0)$.
indefinite if $A$ is neither positive semidefinite nor negative semidefinite.

### Properties of Positive Matricies

* For any matrix $M$, $M^{T}M>0$.
* Positive definite matricies are invertible and the inverse is also positive definite.
* A positive definite matrix $A>0$ has a square root, $A^{1/2}>0$, such that $A^{1/2}A^{1/2}=A$.
* For a positive definite matrix $A>0$ and invertible $M$, $M^{T}AM>0$.
* If $A>0$ and $M>0$, then $A+M>0$.
* If $A>0$ then $\mu A>0$ for any scalar $\mu >0$.
WIP, additional references to be added

## External Links

* LMI Methods in Optimal and Robust Control - A course on LMIs in Control by Matthew Peet.
* LMI Properties and Applications in Systems, Stability, and Control Theory - A List of LMIs by Ryan Caverly and James Forbes.
* LMIs in Systems and Control Theory - A downloadable book on LMIs by Stephen Boyd.
# LMIs in Control/Tools/Basic Matrix Theory
## Basic Matrix Notation

Consider the complex matrix $A\in \mathbb {C} ^{n\times m}$.
       $A={\begin{bmatrix}a_{11}&\dots &a_{1m}\\\vdots &\ddots &\vdots \\a_{n1}&\dots &a_{nm}\end{bmatrix}}\in \mathbb {C} ^{n\times m}$
Transpose of a Matrix
The transpose of $A$, denoted as $A^{T}$ or $A'$ is:
       $A^{T}={\begin{bmatrix}a_{11}&\dots &a_{n1}\\\vdots &\ddots &\vdots \\a_{1m}&\dots &a_{nm}\end{bmatrix}}\in \mathbb {C} ^{m\times n}.$
Adjoint of a Matrix
The adjoint or hermitian conjugate of $A$, denoted as $A^{*}$ is:
       $A^{*}={\begin{bmatrix}a_{11}^{*}&\dots &a_{n1}^{*}\\\vdots &\ddots &\vdots \\a_{1m}^{*}&\dots &a_{nm}^{*}\end{bmatrix}}\in \mathbb {C} ^{m\times n}.$
Where $a_{nm}^{*}$ is the complex conjugate of matrix element $a_{nm}$.
Notice that for a real matrix $A\in \mathbb {R} ^{n\times m}$, $A^{*}=A^{T}$.

## Important Properties of Matricies

Hermitian, Self-Adjoint, and Symmetric Matricies
A square matrix $A\in \mathbb {C} ^{n\times n}$ is called Hermitian or self-adjoint if $A=A^{*}$.
If $A\in \mathbb {R} ^{n\times n}$ is Hermitian then it is called symmetric.
Unitary Matricies
A square matrix $A\in \mathbb {C} ^{n\times n}$ is called unitary if $A^{*}=A^{-1}$ or $A^{*}A=I$.
WIP, additional references to be added

## External Links

* LMI Methods in Optimal and Robust Control - A course on LMIs in Control by Matthew Peet.
* LMI Properties and Applications in Systems, Stability, and Control Theory - A List of LMIs by Ryan Caverly and James Forbes.
* LMIs in Systems and Control Theory - A downloadable book on LMIs by Stephen Boyd.
# LMIs in Control/Tools/Eigenvalue Problem

LMIs in Control/Tools/Eigenvalue Problem

## The System

    ${\begin{aligned}{\dot {x}}(t)&=Ax(t)+Bu(t),\\y(t)&=Cx(t)\end{aligned}}$

## The Data

The matrices $A,B,C$.

## The Optimization Problem

${\text{ Minimize }}\gamma {\text{ subject to the LMI below.}}$

## The LMI: The Lyapunov Inequality

       ${\begin{aligned}{\text{Find}}\;&P>0:\\{\begin{bmatrix}-A^{T}P-PA-C^{T}C&PB\\B^{T}P&\gamma I\end{bmatrix}}>0\\\end{aligned}}$

## Conclusion:

The eigenvalue problem can be utilized to minimize the maximum eigenvalue of a matrix that depends affinely on a variable.

## Implementation

https://github.com/mcavorsi/LMI

## Related LMIs

Structured Singular Value

## External Links

* LMI Methods in Optimal and Robust Control - A course on LMIs in Control by Matthew Peet.
* LMIs in Systems and Control Theory - A downloadable book on LMIs by Stephen Boyd.
# LMIs in Control/Tools/Elimination of Variables

      * Variable Elimination in a Partition Matrix
      * Schur Complement
      * Elimination of Variables
# LMIs in Control/Tools/LMI for Eigenvalue Minimization

LMIs in Control/Tools/LMI for Eigenvalue Minimization

## The System

    ${\begin{aligned}A(x)=A_{0}+A_{1}x_{1}+...+A_{n}x_{n}\end{aligned}}$
Note that ${\begin{aligned}A_{i},\quad i=1,2,...,n\end{aligned}}$ are symmetric matrices.

## The Data

    ${\begin{aligned}A_{0},A_{1},...,A_{n}\quad {\text{are given matrices.}}\end{aligned}}$

## The Optimization Problem

Find
${\begin{aligned}x=[x_{1}\quad x_{2}...x_{n}]\end{aligned}}$
to minimize,
${\begin{aligned}J(x)=\lambda _{max}(A(x))\end{aligned}}$
According to Lemma 1.1 in [1] page 10, the following statements are equivalent
${\begin{aligned}\lambda _{max}(A(x))\leq t\iff A(x)-tI\leq 0\end{aligned}}$

## The LMI: LMI for eigenvalue minimization

Title and mathematical description of the LMI formulation.
       ${\begin{aligned}{\text{min}}\;\quad t:&\\{\text{s.t.}}\quad {\begin{bmatrix}A(x)-tI\end{bmatrix}}&\leq 0\end{aligned}}$

## Conclusion:

${\begin{aligned}x_{i},\quad i=1,2,...,n\quad {\text{and}}\quad t>0\end{aligned}}$ are parameters to be optimized

## Implementation

A link to Matlab codes for this problem in the Github repository:
https://github.com/asalimil/LMI-for-Minimizing-the-Maximum-Eigenvalue-of-Matrix/blob/master/README.md

## Related LMIs

LMI for Matrix Norm Minimization
LMI for Schur Stabilization

## External Links

A list of references documenting and validating the LMI.
* - LMI in Control Systems Analysis, Design and Applications
# LMIs in Control/Tools/LMI for Matrix Norm Minimization

LMIs in Control/Tools/LMI for Matrix Norm Minimization

## The System

    ${\begin{aligned}A(x)=A_{0}+A_{1}x_{1}+...+A_{n}x_{n}\end{aligned}}$
Note that ${\begin{aligned}A_{i},\quad i=1,2,...,n\end{aligned}}$ are symmetric matrices.

## The Data

    ${\begin{aligned}A_{0},A_{1},...,A_{n}\quad {\text{are given matrices.}}\end{aligned}}$

## The Optimization Problem

Find
${\begin{aligned}x=[x_{1}\quad x_{2}...x_{n}]\end{aligned}}$
to minimize,
${\begin{aligned}J(x)=||A(x)||_{2}\end{aligned}}$
According to Lemma 1.2 in [1] page 11, the following statements are equivalent
${\begin{aligned}A^{T}A-t^{2}I\leq 0\iff {\begin{bmatrix}-tI&A\\A^{T}&-tI\end{bmatrix}}\leq 0\\\end{aligned}}$

## The LMI: Minimization of Maximum Eigenvalue of a Matrix

Mathematical description of the LMI formulation:
       ${\begin{aligned}{\text{min}}\;\quad t:&\\{\text{s.t.}}\quad {\begin{bmatrix}-tI&A(x)\\A(x)^{T}&-tI\end{bmatrix}}\leq 0\\\end{aligned}}$

## Conclusion:

This problem is a slight generalization of the eigenvalue minimization problem for a matrix.
${\begin{aligned}x_{i},\quad i=1,2,...,n\quad {\text{and}}\quad t>0\end{aligned}}$ are parameters to be optimized

## Implementation

A link to Matlab codes for this problem in the Github repository:
https://github.com/asalimil/LMI-for-Matrix-Norm-Minimization

## Related LMIs

LMI for Matrix Norm Minimization
LMI for Schur Stabilization

## External Links

A list of references documenting and validating the LMI.
* - LMI in Control Systems Analysis, Design and Applications
# OMS Manual/Chapter 23

CHAPTER 23 - MEDICAL PUBLICATIONS

## Description

This chapter is intended to provide links to information regarding medical publications that can be found in public internet sites.

## Medical Publications Specifically Pertaining to OMS:

Note: Many of these links will only take you to the paper’s abstract. For the full text of an article, contact the authors or your child’s physician, and request that they access the full text.
OMS and Neuroblastoma:
Investigating Neuroblastoma in Childhood Opsoclonus Myoclonus Syndrome
Neuroblastoma and opsoclonus-myoclonus-ataxia syndrome--clinical and pathological characteristics
Treatment:
B Cell Depletion Therapy for NewOnset Opsoclonus Myoclonus
Immunologic and Clinical responses to Rituximab in a Child with Opsoclonus Myoclonus Syndrome
Rituximab (anti-CD20) Adjunctive Therapy for Opsolconus Myoclonus Syndrome
Pediatric Dosing of Rituximab Revisited: Serum Concentrations in Opsoclonus-myoclonus Syndrome
Insights on Chronic-Relapsing Opsoclonus Myoclonus From a Pilot Study of Mycophenolate Mofetil
Active comparator-controlled, rater-blinded study of corticotropin-based immunotherapies for opsoclonus-myoclonus syndrome.
Another Promising Treatment Option For Neuroblastoma Associated Opsoclonus Myoclonus Syndrome
BRIEF REPORT: Ofatumumab for a Rituximab-Allergic Child With Chronic-Relapsing Paraneoplastic Opsoclonus–Myoclonus
Sleep Disturbance and Rage Attacks in Opsoclonus Myoclonus Syndrome: Response to Trazodone
Outcome:
Update on diagnosis, treatment, and prognosis in opsoclonus-myoclonus-ataxia syndrome
Outcome and Prognostic Features inOpsoclonus Myoclonus Syndrome From Infancy to Adult Life
Andreas Brunklaus, MDa,b,c, Keith Pohl, FRCPCHd, Sameer M. Zuberi, MDa, Carlos de Sousa, MDc
Behavior and Psych Issues:
Mood and Behavioral Dysfunction With Opsoclonus Ataxia
Susan Beckwitt Turkel; Virdette L. Brumm; Wendy G. Mitchell; C. Jane Tavare
Cognitive and psychiatric phenotypes of movement disorders in children: a systematic review
Other Pertinent Research:
Key role of CXCL13/CXCR5 axis for cerebrospinal fluid B cell recruitment in pediatric OMS
Pranzatelli MR, Tate ED, McGee NR, Travelstead AL, Ransohoff RM, Ness JM, Colliver JA
Chemokine/cytokine profiling after rituximab: reciprocal expression of BCA-1/CXCL13 and BAFF in childhood OMS
Pranzatelli MR, Tate ED, Travelstead AL, Verhulst SJ
Acute cerebellar ataxia, acute cerebellitis, and opsoclonus-myoclonus syndrome.
Elevated B-cell activating factor BAFF, but not APRIL, correlates with CSF cerebellar autoantibodies in pediatric opsoclonus-myoclonus syndrome.
Cerebrospinal Fluid Oligoclonal Bands in Childhood Opsoclonus-Myoclonus
Going With The Flow: Neuroinflammation
Immunophenotype of Blood Lymphocytes in Neuroblastoma-Associated Opsoclonus Myoclonus
Paraneoplastic opsoclonus-myoclonus syndrome--a review
Adult OMS:
Update on Paraneoplastic Neurologic Disorders
# OMS Manual/Chapter 24

CHAPTER 24 - OTHER MEDICAL RESOURCES

## Description

This chapter is provides resource information regarding medical equipment, teaching aids, and smartphone and iPad applications to assist the OMS child in his development.

## Books and Magazines

IG Living Magazine
The Brain Changes Itself

## Equipment

Trikezilla Turn any two-wheeled bike into a cool trike!
Cascade-The DAFO People

## Teaching Tools:

Cursive writing practice sheets

## Apps:

Teachers With Apps- 12 Best Special Needs Apps of 2012

## Medical Conferences:

The 5th Dancing Eye Syndrome/Opsoclonus-Myoclonus Syndrome International Workshop
# OMS Manual/Chapter 18

CHAPTER 18 - SCHOOLS
This chapter is currently under construction. We hope to have this done very soon:
# OMS Manual/Chapter 21

CHAPTER 21 - FEDERAL, LOCAL, and PRIVATE ORGANIZATIONS PROVIDING ASSISTANCE

## Description

Many private organizations are willing to lend assistance to our OMS warriors. The services can include help in acquiring medicines that have been denie by insurance, flights to hospitals, financial assistance, birthday cakes, and assorted other things. This chapter is intended to provide information to families regarding those services provided by private organizations.

## Medical Assistance and Services

This section is intended to provide information to families regarding medical services available.
* National Organization for Rare Diseases - NORD
* Transition from Pediatric to Adult Medical Health Care
* General Health Information
* Children's Defense Fund
* Financial Assistance for Cancer Patients
* Free Airflight to Medical Facilities Information
* Assistive Technology / Mobility
* Needy Meds - A resource to help you find assistance on medicines such as traazadone or ADHD medicines.
* Patient Services Inc -
* Baxter (IVIG) Therapeutic Play Kit - You can request a therapeutic play kit through this link. It provides an IVIG teddy bear among other books and ‘supplies’ to help your child understand the medical process. The bear is named Igi. You can also request by calling: 1-855-250-5111
* Saatkamp Communications - Parenting, movement, and nutrition education online for the special needs community. -

## Legal Services

* ACCESS - Advocating for Chronic Conditions, Entitlements and Social Services (A.C.C.E.S.S.®) is a program dedicated to helping find solutions to the social and economic problems that confront families facing chronic conditions.

## Special Services to Bring a Smile to an OMS warrior

This section is intended to provide information to families regarding services provided by agencies who want to spread a little happiness to these OMS warriors via gifts and events.
GENERAL INFORMATION:
* Make a Wish
* Icing Smiles - An Organization Dedicated to Making Birthday Cakes for OMS Kids

## Other Services

This section is intended to provide information to families regarding other information that may assist in caring for the OMS patient.
* Neuroblastoma/Childhood Cancer:Pediatric-Oncology Resource Center
* Diseases Database you can link to publications, drugs used for treatment, etc
# OMS Manual/Chapter 16
## Sleep

This chapter is currently under construction. We hope to have this done very soon:
# OMS Manual/Chapter 2

CHAPTER 2 - MEDICAL TERMINOLOGY OF OMS

## Description

This chapter is intended to provide definitions of medical terminology pertaining to OMS.
* Opsoclonus Myoclonus Syndrome (OMS)
* Neuroblastoma (NB):
* Ganglioneuroblastoma:
* Cerebrospinal Fluid (CSF):
* Central Nervous System (CNS):

## Components and Processes of the Immune System

* B cell:
* T Cell:
* Cytokines:
* Chemokines:
* Process of b/t cell proliferation Key role of CXCL13/CXCR5 axis for cerebrospinal fluid B cell recruitment in pediatric OMS Pranzatelli MR, Tate ED, McGee NR, Travelstead AL, Ransohoff RM, Ness JM, Colliver JA
* Elevated B-cell activating factor BAFF, but not APRIL, correlates with CSF cerebellar autoantibodies in pediatric opsoclonus-myoclonus syndrome

## Scans and Imaging

* Magnetic Resonance Imaging (MRI):
* Iobenguane or Metaiodobenzylguanidine (MIBG Scan):
* X-ray computed tomography (CT Scan):

## Other Key Medical Terms

* Blood Brain Barrier:
* Biomarkers (generic medical definition):
* Lumbar Puncture (LP):

## Labs

* Catecholamine:
* Complete Blood Count (CBC):
* Flow cytometric analysis of cerebrospinal fluid
* Absolute Neutrophil Count (ANC):
* Comprehensive Metabolic Panel (CMP):
* Liver Function Tests (LFT):
* Quantitative Immunoglobulins Test:
* Fantastic website which offers easy to understand information about labs and interpreting results:
# OMS Manual/Chapter 15
## Description

OMS warriors need to be very aware of their sodium intake while on medications. Processed foods and fast foods need to be given in minimal amounts to avoid Cushings Syndrome where the child puffs up from water retention. Children that are using ACTH typically have a greater likelihood of developing this. For more information, visits http://en.wikipedia.org/wiki/Cushing's_syndrome .

## Over the counter medicines

Typically, most OMS warriors are going to have supplements to help them. Multivitamin, Calcium, vitamin D.
# Old School RuneScape/Quests/Horror from the Deep

Allows access to the Lighthouse dungeon and gives players the opportunity to buy damaged prayer books (Guthix, Saradomin, and Zamorak) which can be filled with 4 missing pages (found from treasure trials), these books are wielded as a shield and give a +5 bonus to prayer.
# Old School RuneScape/Quests/Imp Catcher

Description: The Wizard Grayzag has summoned hundreds of little imps. They have stolen a lot of things belonging to the Wizard Mizgog including his magic beads.
Starting Point: Wizards' Tower, on the third floor, talk to Wizard Mizgog.
Length: Medium
Difficulty: Easy
Requirements: None
Items Needed: A black bead, a yellow bead, a red bead, and a white bead.
Make your way to the Wizards' Tower. This is south of Draynor Village. Once there, go up to the third floor. Talk to Wizard Mizgog and ask him questions. He will tell you imps stole his beads and wants you to get them for him. He needs a black bead, a yellow bead, a red bead, and a white bead.
To obtain the beads, you will have to kill imps. Imps can be found almost anywhere in RuneScape. The best place, however, is on the island of Karmaja. There are many imps here but are guarded by scorpions, so if you're lower than level 29, look for imps around Varrock and Falador. Keep killing imps until you have all four beads.
Once you have all four beads, return to Wizard Mizgog and give them to him to finish the quest.
Reward: 1 Quest Point, an Amulet of Accuracy, and 875 magic experience.