OpenLLM-France/wikimedia huggingface dataset:
# Radiation Oncology/Sarcoma/Hemangioendothelioma

* Front Page: Radiation Oncology | RTOG Trials | Randomized Trials
Hemangioendothelioma
* Rare tumor
* Intermediate-grade malignant tumors, clinically behaving between benign hemangioma and malignant angiosarcoma. Some have rather benign course while others show much more malignant progression
* Typically occur in adults with roughly equal sex distribution
* Most common location is soft tissues, but have been described essentially anywhere in the body
* Symptoms depend upon location of the primary tumor
* Most common histologic type is epithelioid hmangioendothelioma (EHE)
* For isolated tumors, curative resection with negative margin should be performed
* Role of adjuvant RT is unclear, but is often considered
* Most common metastatic sites are lungs, liver, lymph nodes and bone
* Effectiveness of chemotherapy is unclear
* Most studies are small single institution series
# Radiation Oncology/Medical Statistics/Variables

* Front Page: Radiation Oncology | RTOG Trials | Randomized Trials
Random Variables
* Quantity that theoretically may assume a wide variety of actual values, even though at any given time we only observe a single value
* Probability distribution of the variable is both the specification of all values the variable can take on, as well as the frequency with which it occurs in the entire population
* A set of values observed (x$_1$, x$_2$, x$_3$, ...x$_n$) is called a sample from the population (the population being defined by the probability distribution)
* A random sample assumes that the characteristics of the sample reflects those of the entire population, of which the sample may be only a small part
* Two types of random variables:
** Discrete random variable: it is possible to identify all values that a variable may take. Example: gender
** Continuous random variable: variable may take on any value (typically within a range), and the value is only limited by the precision of the measurements. Example: height
* Probability distribution is often illustrated with a histogram:
** Probability curve: x-axis specifies values, y-axis specifies number of occurrences
** Cumulative probability curve: x-axis specifies values, y-axis specifies the probability that the variable value X is at most a, that is Pr(X<=a)
# Radiation Oncology/Medical Statistics/Distribution

* Front Page: Radiation Oncology | RTOG Trials | Randomized Trials
Characteristics of Distribution
* Need to specify if variable is discrete or continuous
* Location:
** Mean (μ): average value
** Median: value that divides the probability distribution in half, meaning half of values are above it and half are below it
** Mean and median are the same for symmetrical distributions, and different for skewed distribution. Extreme values of X influence mean much more than median
* Spread:
** Variance (σ$^2$): the mean value for all variables of the distance from x to mean, squared. Calculated as the mean of (X-μ)$^2$
** Standard deviation (σ): square root of the variance. Effectively the mean difference of variable x from mean
* Mean and standard distribution provide approximate distribution of the variables
# Radiation Oncology/Medulloblastoma/Staging

* Front Page: Radiation Oncology | RTOG Trials | Randomized Trials
Medulloblastoma Staging

## Modified Chang's Staging

T Stage
* T1 - tumor <3 cm in diameter
* T2 - tumor ≥3 cm in diameter
* T3a - tumor >3 cm and with extension into Aqueduct of Sylvius or foramen of Luschka
* T3b - tumor >3 cm and with unequivocal extension into brainstem
* T4 - tumor >3 cm with extension past Aqueduct of Sylvius or down past foramen magnum
M Stage
* M0 - No evidence of gross subarachnoid or hematogenous metastasis
* M1 - microscopic tumors cells found in CSF
* M2 - gross nodular seeding intracranially beyond the primary site (in cerebellar/cerebral subarachnoid space or in third or lateral ventricle)
* M3 - gross nodular seeding in spinal subarachnoid space
* M4 - metastasis outside cerebrospinal axis

## Risk Stratification

* Standard (Average) Risk (66%)
** >3 years old
** <1.5 cm$^2$ residual disease after resection
** M0 by craniospinal MRI and CSF
* High Risk (34%)
** <3 years old
** Subtotal resection, >1.5 cm$^2$ residual tumor
** M+; leptomeningeal seeding
** Location outside of posterior fossa (PNET)
# Radiation Oncology/Medulloblastoma

* Front Page: Radiation Oncology | RTOG Trials | Randomized Trials
Medulloblastoma
* Staging
* Overview
* Therapy
* Proton Therapy
* Level I Evidence
# Radiation Oncology/Melanoma

* Front Page: Radiation Oncology | RTOG Trials | Randomized Trials
Melanoma
Cutaneous Melanoma
* Staging
* Official Guidelines
* Overview
* Radiobiology
* Management of the primary site
* Management of draining lymphatics
* Unknown Primary
* Hyperthermia in Melanoma
* Metastatic Melanoma
* Randomized Evidence
* RTOG Trials
Mucosal Melanoma
Ocular Melanoma
# REALbasic/Style Guide
## Style Guide for REALbasic Documentation

When contributing, follow as closely as possible the conventions we are developing. These conventions include the following:
* Items in italics represent placeholders which should be replaced as indicated in the description;
* Items in bold text represent literal text that you should enter exactly as shown;
* Items in plain non-italic text represent literal text that you should usually enter exactly as shown.

### Code Samples

Please adhere to the following coding standards:
* Keywords: lower case (print, not PRINT) or "camel case" (HandleEvents, not HANDLEEVENTS).
** The mixed-case format is preferred.
** Please do not color code the Wikibook text.

#### Code within Text

The <code> tag is supported by Wikibooks. This tag renders enclosed text in a monospace font, usually Courier or Courier New. Unfortunately, the text is not always easy to read, so please avoid using italics or other effects unless absolutely essential.

#### Blocks of Code

Use a <pre> (pre-formatted) tag for large blocks of code:
The <PRE> tag places example code within a box. It also preserves formatting by rendering the code in a monospace font.

### Document Organization

When documents can be organized in folders (directories), the following standards are used:
* Language: An Overview of Syntax, Organized by Functionality
* Intro: An Introduction to Programming in REALbasic (Note: please compose content for true beginning programmers)
* Programming: Intermediate to Advanced Programming Topics
** Programming/subtopic: Specific Topics ([[../Programming/Databases| Working with Databases]] produces Working with Databases
* Tutorials: Programming Examples and More
* Appendix: Additional Information
Folders are divided further into specific topics. Always consult the REALbasic main page before creating sub-folders (sub-sections) for this text. The Wikibook entries are linked from REALbasic → "Major Section" → "Sub-section" and this organization will be automatically recreated when a Wikibook is exported. Since the Wikibook is our central repository for content, please maintain the organization. Reorganizing a Wikibook requires copying pages to new locations and then deleting the originals.
# RHIT MA113

This book aims to provide a clear and concise study guide for students in Calculus III (MA113) at Rose-Hulman Institute of Technology.

## Table of Contents
### Topic Study Guides

MA112 Review
Vectors
3D Calculus
Vector Functions
Partial Derivatives
Multiple Integral

### Other Resources

Equation Sheet
Maple Reference
# REALbasic/Programming/Databases
## Databases

REALBasic provides a number of options for the Database your program can use.
The simplest is using the built in Database, which produces a single SQLite format file. The main disadvantage with this is only a single program can safely access this database at any one time.
For a database that multiple users can access simulataneously, you need to go on to a client/server database system. The three main systems supported are REALServer, MySQL and PostgreSQL. It is also possible to connect to various other databases using ODBC.
Waiting for someone to write the rest of this...
# Equation Sheet

| Name | Function |
| Vectors ||
| Magnitude | $\left\Vert {\vec {a}}\right\|={\sqrt {a_{x}^{2}+a_{y}^{2}}}$ |
| Dot Product | $\left\langle a,b\right\rangle \,\cdot \,\left\langle c,d\right\rangle =a\,c+b\,d$ |
| Angle between 2 vectors | $\cos {(\theta )}={\frac {{\vec {a}}\cdot {\vec {b}}}{\left\Vert {\vec {a}}\right\|\,\left\Vert {\vec {b}}\right\|}}$ |
| Cross Product | $\left\Vert {\vec {a}}\times {\vec {b}}\right\|=\left\Vert {\vec {a}}\right\|\,\left\Vert {\vec {b}}\right\|\,\sin {(\theta )}$ |
| Vector Functions ||
| Velocity | ${\vec {v}}={\frac {d}{dt}}\,{\vec {r}}$ |
| Tangent Vector | ${\vec {T}}={\frac {\vec {v}}{\left\Vert {\vec {v}}\right\|}}$ |
| Normal Vector | ${\vec {N}}={\frac {\frac {d{\vec {T}}}{dt}}{\left\Vert {\frac {d{\vec {T}}}{dt}}\right\|}}$ |
| Acceleration | ${\vec {a}}={\frac {d}{dt}}\,{\vec {v}}$ |
| Partial Derivatives ||
| A | B |
| Multiple Integrals ||
| Average Value | ${\frac {\iint \limits _{R}\,f(x)\,dA}{\iint \limits _{R}\,dA}}$ |
| Area | $\iint \limits _{R}\,dA$ |
| Volume | $\iiint \limits _{R}\,dV$ |
| Mass | $\iiint \limits _{R}\,\sigma \,dV$ |
| First Moment | $\iiint \limits _{R}\,r\,\sigma \,dV$ |
| Second Moment | $\iiint \limits _{R}\,r^{2}\,\sigma \,dV$ |
# Multiple Integral
## Evaluating Multiple Integrals

Multiple Integrals are evaluated from the inside out, beginning by evaluating the innermost integral, then working outwards.
${\begin{aligned}A&=\int \limits _{1}^{3}\int \limits _{0}^{x^{2}}\,dy\,dx\\&=\int \limits _{1}^{3}\left(\int \limits _{0}^{x^{2}}\,dy\right)\,dx\\&=\int \limits _{1}^{3}x^{2}\,dx\\A&={\frac {26}{3}}\\\end{aligned}}$
The inner integrals may have limits containing variables, so long as those variables are integrated in an enclosing integral. Because of this, the limits of outermost integrals must contain only constants.

## Changing the Order of Integration

So long as the order of integration is changed correctly, the multiple integral will cover the same region, and therefore order will not affect the end result of the multiple integral. In general, it is wise to begin by establishing the limits of the outermost integral first, then working inwards, to avoid any mistakes.

## Uses
### Average Value

The Average value of a function $f(x)$ is equal to ${\frac {\iint \limits _{R}\,f(x)\,dA}{\iint \limits _{R}\,dA}}$

### Areas/Volumes

The equation for Area is $\iint \limits _{R}\,dA$ and Volume is $\iiint \limits _{R}\,dV$
In Cartesian coordinates, $dA=dx\,dy$ and $dV=dx\,dy\,dz$, therefore Area and Volume are $\iint \limits _{R}\,dx\,dy$ and $\iiint \limits _{R}\,dx\,dy\,dz$
The same process can be used in Polar, Cylindrical, and Spherical coordinates, as follows:
In Polar, $dA=r\,d\theta \,dr$
In Cylindrical, $dV=r\,d\theta \,dr\,dz$
In Spherical, $dV=\rho ^{2}\,\sin {(\phi )}\,d\rho \,d\phi \,d\theta$

### Masses

The equation for the mass of an object is $\iiint \limits _{R}\,\sigma \,dV$, where $\sigma$ is the density of the object (which could be either a constant or function of position)

### Moments
#### First Moments

$\iiint \limits _{R}\,r\,\sigma \,dV$, where r is the distance from the axis or line of rotation

#### Second Moments

$\iiint \limits _{R}\,r^{2}\,\sigma \,dV$, where r is the distance from the axis or line of rotation
# REALbasic/Introduction
## Why REALbasic

There are a lot of options available for those wanting to learn computer programming. However, we believe that REALbasic is a particularly great way to learn modern programming concepts and techniques.

### Object-Oriented Programming

REALbasic makes learning object-oriented programming (OOP) simpler than languages like Objective-C or C#. Users have said that learning REALbasic made transitioning to Objective-C almost painless: you learn good OOP techniques as you master REALbasic.
# Quenya/Respective
## Usage

This case is sometimes called the mystery-case because so little is known about it.
We only have a few examples by Tolkien himself, so different authors have used it in different ways. But as Helge Fauskanger notes: 'As these authors didn’t get nightly visits from Tolkien, we can regard these uses as acceptable' .
Most authors use it as a nephew of the locative case: To replace the preposition "by" when it is used to describe a place:
* `B aY`C `B 1.D7R8 i coa i taures "the house by the forest"
This means "the house next to the forest", a locative has a slightly different meaning:
* `B aY`C `B 1.D7R,R i coa i tauressë "the house in the forest"
To replace the preposition "at" when it is used to describe a place:
* `B aDj1E `B 7Ew#8 i calta i rambas "the picture at the wall"
This means "the picture hanging on the wall", a locative again has a slightly different meaning:
* `B aDj1E `B 7Ew#,R i calta i rambassë "the picture on (top of) the wall"

## Formation

The formation is however well known, because Tolkien explained in a letter to Mr. Plotz: the respective can be formed by changing the final –n of the dative into an –s:
* aG7ÎD8 ciryas "by a ship" (dative: aG7ÎD5 ciryan)
* aG7ÎlD8 ciryais "by ships" (dative: aG7ÎlD5 ciryain)
* aG7ÎDj%8 ciryalis "by some ships" (dative: aG7ÎDj%5 ciryalin)
The u-duals are formed in the same way:
* `Cm&8 aldus "by a pair of trees" (dative: `Cm&5 aldun)
The t-duals however have a special ending \1R8 –tes:
* aG7ÎD1R8 ciryates "by a pair of ships"
>> Neo-Quenya >> Nouns >> Respective
# Quenya/Texts in Quenya
## Texts in Quenya by J.R.R.Tolkien

* Namárië - Altariello nainië Loriendessë Galadriel's Lament in Lothlórien from The Lord of the Rings
* Makirya Longest poem in Quenya
* Eldar ataformaiti The Ambidexter senctence
* Átaremma the Lord´s Prayer.
* Aiya María the Hail Mary prayer.
* Litany of Loreto a Catholic prayer from the 1950's.
* Ortírielyanna Upon Your Protection.

## Texts in Neo-Quenya

* I Yessessë the first two chapters of the Genesis in Neo-Quenya by Helge Kåre Fauskanger.
* Ríanna Quenya poem by Vicente Velasco.
* Hríveressë another Quenya poem by Vicente Velasco.
* Roccalassen Quenya poem by Ales Bican.
>> Neo-Quenya
# Quenya/Texts in Quenya/Aiya María
## Aia María

| Quenya in Tengwar | Quenya in Latin Alphabet | English |
| lE`C t#7~B`C zE4# `V7U`C5:^ = `B 9~V7U `CiRj´R = lE81E5# `Vj´R `Bt~BaD 5~BiG `C6 lE81E5# `B hÍ~CyR t~N5#j´Y hÍ~ViU8 - lE7R t#7~B`C `V7U`N `H4#7Tj ~C 9ÍDt$ 7~Ct$5 ~MaD7T2^6 8~B `C6 j~Mt$,R hÍE eT7UyEt:$ - 5~CiG`V -\ | Aia María quanta Eruanno i Héru aselyë aistana elyë imíca nissi ar aistana i yávë mónalyo Yésus Airë María Eruo ontaril á hyamë rámen úcarindor sí ar lúmessë ya firuvammë Násië | Hail Mary, full of grace, the Lord is with thee; blessed art thou amongst women, and blessed is the fruit of thy womb, Jesus. Holy Mary, Mother of God, pray for us sinners, now and at the hour of our death. Amen. |
# Quenya/Texts in Quenya/Hríveressë
## Hríveressë

| Quenya in Tengwar | Quenya in Latin Alphabet | English |
| ½7~ByR7R,R | Hríveressë | In a winter's day |
| `V1 t#7T5Ì#j°^ t#j°$5:# yE4#5 ½7~ByR7R,R 9RjaD= 5& eD5Ì#7R elU5$9B8nE= j&wlY5$5 5lD7E 5&61lD5#-- | Et marinyallo mallenna vantan hríveressë helca, nu fanyarë fuinehiswa, lumboinen Naira nurtaina. | From my home to the street I walk in a cold winter's day, under shadowy-grey skies, the sun hidden by clouds. |
| ½j~C7E5Ì$ 7Ts# eH6t$k~M7R= `C8~MhÍ `Cm#,F5 ~Mj#,G`V= `Cj&,D `Njw#j%,F 5^65$= `Cj#tÌ# yR 5&7U5lD5%`V-- | Hláranyë ringa Formessúrë, asúy' aldassen úlassië, alussa olbalissë nornë, alamya ve Nuru-nainië. | I hear the cold Northwind blowing through the leafless trees, whispering in the twisted branches, sounding like a Death-lament. |
| eH6t$k~M7RhÍEjt$ z~Vj#= `C6 5~Mt$j°^ 9Yj1E5 cR81E 5~BiGt# `C8~MhÍE 5%5:#= `C6 5lD5%`V `C9ÍC j~B7T5:#-- | Formessúrë-yalmë quéla, ar Númello holtan hwesta nísima asúya ninna, ar nainië ahya lírinna. | The clamour of the Northwind fades, and from the West I smell a fragrant Zephyr blowing towards me, and the lament changes to song. |
| a~V5#5 1lUj%2^ `CnTj$ 9ÍC6t$j°^ ~M7Tt# 8~M7R= 5& 7~Ct#7ÎD1 aG6aDaD4$= `Cj%6 `Cm#5:#6 ~Mj#,G`V-- | Cénan tuilindo awilë Hyarmello úrima súrë, nu rámaryat circa-cantë, alir' aldannar úlassië. | I see a swallow flying from the South, the hot wind under its sickle-shaped wings singing towards the leafless trees. |
| .D1Y6 `B j&w^6= `C6 5lD7E a~V5#5 `C5~M1E 5~Mt$5:#= `V1 7~Nt$j^ 1Tj%`N5 `N61E= `C6 `M2~Nt$k `Vj$5 8~Bj#-- | Autar i lumbor, ar Naira cénan anúta Númenna, et Rómello Tilion orta, ar undómess' elen síla. | The clouds pass, and I see the Sun setting in the West, and from the East the Moon rises, and in the twilight the star shines. |
| `C6 j~Nt$j%2$j~B7T5$5= `V4~Mj#5 hÍE5:# `V1;Uj°$5= 5& t$5$j `Vj$4%4lD5#= ½7~ByR`N j~Nt$,F iG5# -Â | Ar lómelindë-lírinen, entúlan yanna ettullen, nu menel elentintaina, hrívëo lómessë sina. | And by the song of the nightingale I return to whence I came, under the starlit heavens, in this winter's evening. |
* 1 2 jw is used to write lb. Olbalissë is the partitive pl. locative of `Njw# olba "branch" [PM:340]; the Etymologies gives `NjnE olwa. `NjnEj%,F Olwalissë is more closer to Exilic Quenya.
# Quenya/Texts in Quenya/Eldar ataformaiti

| Tengwar | Quenya | English |
| `Vm#6 `C1EeY6tlD1T= `VqR1lD `B 9ÍC6t# ~M 1R5 `MjaD 8~Bt#7ÎD,R5- ~MiG`V= `C5 a~V t^ zF65$ zF2$j$ 5~Mt$5:#= yR iR5Ì#= `B 9ÍC6t# 1R4#5$ t$jaH7Rj°^= `C6 a~V t^ eY6t$5:# 1R4#5$8 `Ct#5:#-- | Eldar ataformaiti, epetai i hyarma ú ten ulca símaryassen. úsië, an cé mo quernë cendelë númenna, ve senya, i hyarma tentanë Melcorello, ar cé mo formenna tentanes Amanna. | The Elves were ambidexters, consequently the left hand was not to them evil in their imaginations. On the contrary, for if one turned the face westward, as was usual, the left hand pointed away from Melkor, and if northwards, it pointed toward towards Aman. |
# Radiation Oncology/Extrapulmonary high grade neuroendocrine tumors
## Official guidelines

* NANETS:
** 2010: PMID 20664477 Full text -- "The NANETS consensus guidelines for the diagnosis and management of poorly differentiated (high-grade) extrapulmonary neuroendocrine carcinomas." (Strosberg JR, Pancreas. 2010 Aug;39(6):799-800.)
# Radiation Oncology/Eye/Choroidal metastasis

* Front Page: Radiation Oncology | RTOG Trials | Randomized Trials

## Prevalence

In disseminated breast cancer:
* PMID 9924304 — "Frequency of asymptomatic choroidal metastasis in patients with disseminated breast cancer: results of a prospective screening programme." Wiegel T et al.
** Risk was 5%. Higher risk of 11% when more than one organ was involved in metastatic spread. Risk factors were lung and brain metastases.

## Prospective trials

* German ARO 95-08 (1994-98)
** 50 pts with 65 involved eyes. Treated 40 Gy in 20 fractions.
** 2002 PMID 12208569 -- "External beam radiotherapy of choroidal metastases--final results of a prospective study of the German Cancer Society (ARO 95-08)." (Wiegel T, Radiother Oncol. 2002 Jul;64(1):13-8.)
*** Median f/u 5.8 months. MS 7 mo. Improvement in visual acuity in 36%, stable in 50%, decreased in 14%.
*** Conclusion: Radiation therapy with 40 Gy is an effective and safe palliative treatment for symptomatic and asymptomatic choroidal metastases to preserve vision in the majority of the patients. A unilateral field for unilateral metastasis seems to be sufficient to prevent contralateral disease.
# Radiation Oncology/Ethics in research

* A number of ethical challenges related to informed consent, randomization, conflicts of interest, and scientific validity and social value are shared with other areas of medicine
* Unique concerns in radiation oncology arising from the rapid evolution and uneven distribution of radiation technologies; the greater unfamiliarity of the general public and research oversight committees in regard to radiation oncology clinical practice; and the high complexity of managing most radiation oncology research, much of which is carried out in high-acuity multidisciplinary oncologic settings
* To produce the best research, adherence to the highest ethical standards should be pursued as an integral component of all radiation oncology research
* Shlomo A Koyfman et al. Int J Radiat Oncol Biol Phys. 2017. Clinical Research Ethics: Considerations for the Radiation Oncologist (PMID: 28871967)
* M. Bernstein, et al. Curr Oncol. 2006 Apr; 13(2): 55–60. Ethical guideposts to clinical trials in oncology (PMID: 17576442)
# Radiation Oncology/Eye

* Front Page: Radiation Oncology | RTOG Trials | Randomized Trials
Tumors of the Eye and Orbit
* Ocular melanoma
* Graves' Ophthalmopathy
* Retinoblastoma
* Choroidal metastasis
* Optic Pathway Glioma
* Orbital lymphoma
* Lacrimal gland tumor
* Squamous cell carcinoma of the conjunctiva and cornea
Eyelid Tumors
* Basal Cell Carcinoma
* Squamous Cell Carcinoma
* Meibomian Gland Carcinoma
# Non-Programmer's Tutorial for Python 3
## Contents
### Authors

    Contributors to this book

### Front matter

    Initial remarks

### Intro

    Installing and using Python – where to get help

### Hello, World

    The famous first program – screen output – variables – numbers and calculations

### Who Goes There?

    Interactive input – strings

### Count to 10

    while loops

### Decisions

    if statements

### Debugging

    Finding out what goes wrong

### Defining Functions

    Structuring programs with the use of functions

### Advanced Functions Example

    (Almost) mind-blowing example of how programmers can think

### Lists

    Variables containing more than one value

### For Loops

    A second kind of loop

### Boolean Expressions

    Computer logic – True and False – and and or – not

### Dictionaries

    Variables containing key/value pairs

### Using Modules

    Extensions to the standard set of functionality

### More on Lists

    Using elements or parts of lists

### Revenge of the Strings

    More advanced text manipulations

### File IO

    Reading from files and writing to files

### Dealing with the imperfect

    How to handle errors

### Recursion

    Recursive Functions

### Intro to Object Oriented Programming in Python 3

    Basics of OOP (Object Oriented Programming)

### Intro to Imported Libraries and other Functions

    Basic functions from various libraries.

### The End

    How to go further

### FAQ

    Some frequently asked questions
# Non-Programmer's Tutorial for Python 3/Authors
## Josh Cogliati

    User:Jrincayc, jjcogliati-jan2007 AT yahoo.com

### Contributors

* Mitchell Aikens, LGIT, WSIT, AAS (User:msaikens)
* Kiah Morante (User:greenmanwitch)
* Elizabeth Cogliati
* James A. Brown
* Joe Oppegaard
* Benjamin Hell (User:Siebengang)
# Non-Programmer's Tutorial for Python 2.6/The End

For the moment I recommend looking at The Python 2 Tutorial by Guido van Rossum for more topics. If you have been following this tutorial, you should be able to understand a fair amount of it. If you want to get deeper into Python, Learn Python the Hard Way is a nice on-line textbook, although targeted at people with a more solid programming background. The Python Programming wikibook can be worth looking at, too.
This tutorial is very much a work in progress. Thanks to everyone who has sent me emails about it. I enjoyed reading them, even when I have not always been the best replier.
Happy programming, may it change your life and the world.
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