Disconnect

https://addons.mozilla.org/en-US/firefox/addon/disconnect/

Google Disconnect

Facebook Disconnect

Stop major third parties from tracking the webpages you go to (built with WebMynd).

Viber

http://www.viber.com/

http://lifehacker.com/5706423/viber-makes-free-iphone-calls-over-3g-and-wi+fi

https://addons.mozilla.org/en-US/firefox/addon/disconnect/

When you use Viber, your phone calls and text messages (sms) to any other Viber users are free! The sound quality is also much better than a regular call.

50 Things Women Wish Men Knew

50 Things Women Wish Men Knew
By: Lisa Jones

http://www.menshealth.com/mhlists/what_women_want_from_men/What_She_Wishes_You_Knew_50.php?page=5

Words with a Q not followed by a U

qaid
quintar
quindar
qoph
qiviut

http://www.scrabble.org.au/words/ulessq.htm

Words with a Q not followed by a U

2-letter Words
QI

3-letter Words
QAT QIS SUQ

4-letter Words
QADI QAID QATS QOPH SUQS WAQF

5-letter Words
BURQA FAQIR NIQAB QADIS QAIDS QIBLA QOPHS QORMA TALAQ TRANQ UMIAQ WAQFS

6-letter Words
BURQAS BUQSHA FAQIRS NIQABS QABALA QANATS QASIDA QAWWAL QIBLAS QIGONG
QINDAR QINTAR QIVIUT QORMAS QWERTY SHEQEL TALAQS TRANQS UMIAQS YAQONA

7-letter Words
BUQSHAS INQILAB QABALAH QABALAS QASIDAS QAWWALI QAWWALS QIGONGS
QINDARS QINTARS QIVIUTS QWERTYS SHEQELS TSADDIQ TZADDIQ YAQONAS

8-Letter Words
INQILABS MBAQANGA MUQADDAM QABALAHS QAIMAQAM QALAMDAN
QAWWALIS QINDARKA QWERTIES SHEQALIM TSADDIQS TZADDIQS

9-letter Words
MBAQANGAS MUQADDAMS QABALISM QABALIST QAIMAQAMS QALAMDANS QINGHAOSU
TSADDIQIM TZADDIQIM

Statistical analysis of co-expression properties of sets of genes in the mouse brain

Statistical analysis of co-expression properties of sets of genes in
the mouse brain

http://arxiv.org/abs/1111.6200

A cell-type based model explaining co-expression patterns of genes in the brain
Pascal Grange, Jason Bohland, Hemant Bokil, Sacha Nelson, Benjamin Okaty, Ken Sugino, Lydia Ng, Michael Hawrylycz, Partha P. Mitra

http://arxiv.org/abs/1111.6217

Virtual Windows system + ITunes.

Virtual Windows system + ITunes.

I installed virtualbox 4 and set up a Windows XP. To use the USB drivers I installed the Oracle Expansion Pack. The Licence changes from OSE (Open Source Edition) to PUEL (Personal Use and Evaluation License).

Plugin the Ipod to your Ubuntu System. Start the VM with Windows and Itunes. Under "Devices" in the Virtual Box select your ipod nano. Windows and Itunes will find it.

I also shared my music-library with a virtualbox shared folder and mountet it under windows.

This works for me but I am unhappy with the situation too.

http://askubuntu.com/questions/26353/how-can-i-sync-with-an-ipod-nano-6g

Spotify
http://www.engadget.com/2011/05/04/spotify-launches-download-service-with-ipod-sync-puts-itunes-on/

PlayOnLinux (Wine frontend) > Multimedia > Spotify
http://www.makeuseof.com/tag/spotifys-free-version-working-linux/

VirtualBox windows on Ubuntu
http://www.blog.arun-prabha.com/2007/05/07/installing-virtualbox-and-windows-using-virtualbox-in-ubuntu/

A handle on neurodegenerative disease complexity

http://www.nature.com/nmeth/journal/v9/n1/full/nmeth.1847.html?WT.ec_id=NMETH-201201


Erika Pastrana

Nature Methods
doi:10.1038/nmeth.1847

Published online
28 December 2011

Combining experiments and calculations makes it possible to measure the prognostic value of toxic protein species in the cell.


It is still not clear though, whether these aggregates are toxic to the cell or whether they represent a way for the cell to cope with the misfolded mutant proteins. Mutant Htt proteins are continuously shifting from one conformation to another, and it is unclear which of the conformational states (or protein species) exist at a given time in the cell and to what extent each of them contributes to the cell's degeneration.

These are not easy questions to address, and as Steven Finkbeiner and his team at the University of California, San Francisco, noted, methods for such investigations have been lacking. To date, a lot of work has focused on looking at aggregation of purified proteins in a test tube. However, “the environment in which proteins fold and misfold inside cells is very different from the one in vitro,” says Finkbeiner. The group set out to develop new tools and methods that would enable labeling the different protein species of Htt that exist in situ and estimating the pathogenic contribution of each of them.

Brain scarring may help explain obesity battle, study finds

http://www.montrealgazette.com/health/Brain+scarring+help+explain+obesity+battle+study+finds/5916860/story.html

Scientists are linking obesity with inflammation and scarring in the key brain area that controls weight, which could explain why it's so hard to lose weight and keep it off.

When researchers switched mice and rats genetically bred to become obese from low-fat chow to high-fat and highly palatable chow, they began showing signs of inflammation in the hypothalamus within 24 hours.

The hypothalamus takes signals from body fat and other tissues that tell the brain we need food or we've had enough. It also regulates how much fat we burn.

"We saw direct evidence of neuron injury and, ultimately, after months on the diet, a loss of neurons in this hypothalamic area that's vital for body weight control," said lead researcher Dr. Michael Schwartz, professor of medicine and director of the Diabetes and Obesity Center of Excellence at the University of Washington, Seattle.

talkatone

http://www.talkatone.com/faq.html

Free voice and text using Wifi or 3G

Power of Love

"Whenever you are confronted with an opponent, conquer him with love."

ANOVA

http://www.gardenersown.co.uk/Education/Lectures/R/anova.htm#anova

http://www.personality-project.org/r/r.anova.html

A special case of the linear model is the situation where the predictor variables are categorical. In psychological research this usually reflects experimental design where the independent variables are multiple levels of some experimental manipulation (e.g., drug administration, recall instructions, etc.)

The first 5 examples are adapted from the guide to S+ developed by TAs for Roger Ratcliff. For more detail on data entry consult that guide. The last three examples discuss how to reorganize the data from a standard data frame into one appropriate for within subject analyses. For this discussion, I assume that appropriate data files have been created in a text editor and saved in a subjects x variables table.

Microarray data analysis

http://discover.nci.nih.gov/microarrayAnalysis/Exploratory.Analysis.jsp

Exploratory Analysis
Pattern-Finding
Exploratory analysis aims to find patterns in the data that aren’t predicted by the experimenter’s current knowledge or pre-conceptions. Some typical goals are to identify groups of genes expression patterns across samples are closely related; or to find unknown subgroups among samples. A useful first step in all analyses is to identify outliers among samples – those that appear suspiciously far from others in their group. To address these questions, researchers have turned to methods such as cluster analysis, and principal components analysis, although these have often been used inappropriately.
The first widely publicized microarray studies aimed to find uncharacterised genes, which act at specific points during the cell cycle. Clustering is the natural first step in doing this. Unfortunately many people got the impression that clustering is the 'right' thing to do with microarray data; the confusion has been perpetuated, since many software packages have catered to this impression. The proper way to analyze data is the way that addresses the goal at which the study was aimed. Clustering is a useful exploratory technique for suggesting resemblances among groups of genes, but it’s not a way of identifying the differentially regulated genes in an experimental study.

The Virtual Fly Brain Browser and Query Interface.

www.virtualflybrain.org

Bioinformatics. 2011 Dec 16. [Epub ahead of print]
The Virtual Fly Brain Browser and Query Interface.
Milyaev N, Osumi-Sutherland D, Reeve S, Burton N, Baldock RA, Armstrong JD.
Source

School of Informatics, University of Edinburgh, UK.
Abstract
MOTIVATION:

Sources of neuroscience data in Drosophila are diverse and disparate making integrated search and retrieval difficult. A major obstacle to this is the lack of a comprehensive and logically structured anatomical framework and an intuitive interface.
RESULTS:

We present an online resource that provides a convenient way to study and query fly brain anatomy, expression and genetic data. We extended the newly developed BrainName nomenclature for the adult fly brain into a logically structured ontology that relates a comprehensive set of published neuron classes to the brain regions they innervate. The Virtual Fly Brain interface allows users to explore the structure of the Drosophila brain by browsing 3D images of a brain with sub-regions displayed as coloured overlays. An integrated query mechanism allows complex searches of underlying anatomy, cells, expression and other data from community databases.
AVAILABILITY:

Virtual Fly Brain is freely available on-line at www.virtualflybrain.org.