These are my recent Pin​board​.in links:

• Hebrew Typog­ra­phy

  beau­ti­ful lettering
  
  typog­ra­phy hebrew graphic-​​design cal­lig­ra­phy let­ter­ing

• [1110.5376] A Quan­ti­ta­tive Test of Pop­u­la­tion Genet­ics Using Spatio-​​Genetic Pat­terns in Bac­te­r­ial Colonies

  “It is widely accepted that pop­u­la­tion genet­ics the­ory is the cor­ner­stone of evo­lu­tion­ary analy­ses. Empir­i­cal tests of the the­ory, how­ever, are chal­leng­ing because of the com­plex rela­tion­ships between space, dis­per­sal, and evo­lu­tion. Crit­i­cally, we lack quan­ti­ta­tive val­i­da­tion of the spa­tial mod­els of pop­u­la­tion genet­ics. Here we com­bine ana­lyt­ics, on and off-​​lattice sim­u­la­tions, and exper­i­ments with bac­te­ria to per­form quan­ti­ta­tive tests of the the­ory. We study two bac­te­r­ial species, the gut microbe Escherichia coli and the oppor­tunis­tic pathogen Pseudomonas aerug­i­nosa, and show that spatio-​​genetic pat­terns in colony biofilms of both species are accu­rately described by an exten­sion of the one-​​dimensional stepping-​​stone model. We use one empir­i­cal mea­sure, genetic diver­sity at the colony periph­ery, to para­me­ter­ize our mod­els and show that we can then accu­rately pre­dict another key vari­able: the degree of short-​​range cell migra­tion along an edge. More­over, the model allows us to esti­mate other key para­me­ters includ­ing effec­tive pop­u­la­tion size (den­sity) at the expan­sion fron­tier. While our exper­i­men­tal sys­tem is a sim­pli­fi­ca­tion of nat­ural micro­bial com­mu­nity, we argue it is a proof of prin­ci­ple that the spa­tial mod­els of pop­u­la­tion genet­ics can quan­ti­ta­tively cap­ture organ­is­mal evolution.”
  
  bacterial-​​genetics evo­lu­tion micro­bi­ol­ogy exper­i­ment cute

• NDFD Data­base Contents

  “You can access NDFD ele­ments via file trans­fer pro­to­col (ftp), http, eXten­si­ble Markup Lan­guage (XML), or web browser. Links to the data, sup­port­ing infor­ma­tion and soft­ware are listed below:…”
  
  weather data raw-​​data-​​now government2.0 nudge-​​targets ref­er­ence fore­casts

• The Per­for­ma­tiv­ity of Net­works — Kieran Healy

  “The “per­for­ma­tiv­ity the­sis” is the claim that parts of con­tem­po­rary eco­nom­ics and finance, when car­ried out into the world by pro­fes­sion­als and pop­u­lar­iz­ers, refor­mat and reor­ga­nize the phe­nom­ena they pur­port to describe, in ways that bring the world into line with the­ory. Prac­ti­cal tech­nolo­gies, cal­cu­la­tive devices and portable algo­rithms give actors tools to imple­ment par­tic­u­lar mod­els of action. I argue that social net­work analy­sis is per­for­ma­tive in the same sense as the cases stud­ied in this lit­er­a­ture. Social net­work analy­sis and finance the­ory are sim­i­lar in key aspects of their devel­op­ment and effects. For the case of eco­nom­ics, evi­dence for weaker ver­sions of the per­for­ma­tiv­ity the­sis in quite good, and the strong for­mu­la­tion is cir­cum­stan­tially sup­ported. Net­work the­ory eas­ily meets the evi­den­tial thresh­old for the weaker ver­sions; I offer empir­i­cal exam­ples that sup­port the strong (or “Bar­ne­sian”) for­mu­la­tion. Whether these par­al­lels are a mark in favor of the the­sis or a strike against it is an open ques­tion. I argue that the social net­work tech­nolo­gies and mod­els now being “per­formed” build out sys­tems of gen­er­al­ized reci­procity, con­nec­tiv­ity, and commons-​​based pro­duc­tion. This is in con­trast both to an ear­lier net­work imagery that empha­sized self-​​interest and entre­pre­neur­ial exploita­tion of struc­tural oppor­tu­ni­ties, and to the model of action typ­i­cally con­sid­ered to be per­formed by eco­nomic technologies.”
  
  network-​​theory network-​​culture eco­nom­ics cultural-​​dynamics theory-​​and-​​practice-​​sitting-​​in-​​a-​​tree