You have access to a network of people connected with each other, living in different locations, with various skill sets. You are looking for a suitable candidate for a job. Let’s see how a graph database can help you match the job with the people you know.
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" replace decimal under cursor or the visual selection with a different | |
" number format (hex, binary, etc.) | |
function! FuncTheNum(mode) | |
if a:mode == 'n' | |
let word = expand("<cword>") | |
execute "normal! viw\<Esc>" | |
elseif a:mode == 'v' | |
let save_reg = getreg('a', 1, 1) | |
let save_reg_type = getregtype('a') | |
execute "normal! \<Esc>gv\"ay" |
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# | |
# Update installed Neo4j service configuration | |
# | |
# Script to illustrate the update service command. | |
# | |
# 1. Configure heap size in neo4j.conf; install and run service. Check memory config in debug.log. | |
# 2. Stop service and change heap size in neo4j.conf. | |
# 3. Run update service command | |
# 4. Start service and check memory config in debug.log. |
Academic research largely consists in reading and writing texts. These texts can be modelled as a conversation. To be a reasercher, on this model, is to enter into a scientific conversation, to listen (read) and occassionaly to speak (write).
Texts embodying contributions to the scientific conversation are published as book chapters, articles in peer reviewed journals, conference papers &c. For the individual researcher, a major task involves identifying which of these published items are relevant to one’s research, to be able to study them and to respond.