acl acl2010 acl2010-lda knowledge-graph by maker-knowledge-mining
topicId: wordWeight*wordName (topN-words)
topic #0: 0.003*readability + 0.002*informativeness + 0.002*crfs + 0.002*yt + 0.001*zk + 0.001*newton + 0.001*carenini + 0.001*tsuruoka + 0.001*xt + 0.001*regularization
topic #1: 0.003*goldwater + 0.002*photo + 0.002*em + 0.002*sc + 0.002*italian + 0.002*restarts + 0.002*nlu + 0.001*ravi + 0.001*mdl + 0.001*rdf
topic #2: 0.004*supertagger + 0.003*interface + 0.003*edits + 0.003*rte + 0.002*edit + 0.002*entailment + 0.002*supertagging + 0.002*newswire + 0.002*biomedical + 0.002*amazon
topic #3: 0.002*reconstruction + 0.002*salience + 0.002*utterance + 0.002*hgm + 0.002*dda + 0.002*bui + 0.002*steinberger + 0.001*fire + 0.001*tsr + 0.001*tac
topic #4: 0.004*elementary + 0.003*stress + 0.003*productions + 0.003*bundle + 0.003*nonterminal + 0.002*extractive + 0.002*production + 0.002*stsg + 0.002*bundles + 0.002*lcfrs
topic #5: 0.003*figurative + 0.003*transliteration + 0.002*urdu + 0.002*hindi + 0.002*ui + 0.002*button + 0.002*subst + 0.002*transliterations + 0.002*russian + 0.002*scrisp
topic #6: 0.003*operators + 0.003*driver + 0.003*workload + 0.002*npis + 0.002*passenger + 0.002*npi + 0.001*romanian + 0.001*interview + 0.001*resuming + 0.001*pnpis
topic #7: 0.005*subjectivity + 0.004*srl + 0.004*chunk + 0.003*latin + 0.003*chunks + 0.003*implicit + 0.003*automata + 0.003*verbal + 0.002*korean + 0.002*toba
topic #8: 0.004*masc + 0.003*synonym + 0.002*ws + 0.001*pivots + 0.001*graf + 0.001*wt + 0.001*chief + 0.001*forefront + 0.001*vt + 0.001*ajn
topic #9: 0.004*genre + 0.003*genres + 0.003*posting + 0.002*viterbitrain + 0.002*authority + 0.002*vy + 0.002*recommendation + 0.001*vyr + 0.001*profile + 0.001*comment
topic #10: 0.003*nas + 0.002*pivot + 0.002*captions + 0.002*learners + 0.001*signature + 0.001*processable + 0.001*hebrew + 0.001*signatures + 0.001*perceptual + 0.001*kate
topic #11: 0.003*citation + 0.002*collocation + 0.002*collocations + 0.002*citations + 0.002*mrf + 0.001*suggestion + 0.001*suggestions + 0.001*nuggets + 0.001*xc + 0.001*surveys
topic #12: 0.003*metaphor + 0.002*kernel + 0.002*convolution + 0.002*equilibrium + 0.001*public + 0.001*player + 0.001*metaphors + 0.001*britain + 0.001*subgame + 0.001*bargaining
topic #13: 0.003*svmtool + 0.003*tds + 0.002*bagel + 0.002*block + 0.002*stacks + 0.002*junction + 0.002*weather + 0.001*stacking + 0.001*sm + 0.001*realisation
topic #14: 0.008*pos + 0.006*state + 0.005*action + 0.004*parsers + 0.004*markov + 0.004*spoken + 0.004*mcdonald + 0.004*multilingual + 0.003*collins + 0.003*wn
topic #15: 0.004*tm + 0.001*fuzzy + 0.001*recommendation + 0.001*tms + 0.001*recommended + 0.000*specia + 0.000*recommending + 0.000*strand + 0.000*postediting + 0.000*hfm
topic #16: 0.003*sempos + 0.003*moses + 0.003*distinctness + 0.003*fj + 0.003*plain + 0.002*kernels + 0.002*morfessor + 0.002*alexandra + 0.002*zens + 0.002*fbis
topic #17: 0.003*event + 0.003*cqa + 0.002*ssl + 0.002*mad + 0.002*forum + 0.001*qa + 0.001*hdp + 0.001*yago + 0.001*ecb + 0.001*rbm
topic #18: 0.002*constraints + 0.002*interior + 0.002*sv + 0.002*vv + 0.001*transduction + 0.001*frontier + 0.001*bracketed + 0.001*rewrites + 0.001*itg + 0.001*dt
topic #19: 0.003*highlights + 0.003*xi + 0.002*ilp + 0.002*compression + 0.002*intensity + 0.001*gp + 0.001*martins + 0.001*gs + 0.001*clarke + 0.001*highlight
topic #20: 0.003*phoneme + 0.003*phonemes + 0.002*rwf + 0.001*phonetic + 0.001*pronunciation + 0.001*trigger + 0.001*gq + 0.001*letter + 0.001*fbis + 0.001*jiampojamarn
topic #21: 0.002*mligs + 0.002*emgi + 0.002*emptiness + 0.002*repariert + 0.002*rambow + 0.001*dominance + 0.001*minimization + 0.001*formalisms + 0.001*membership + 0.001*ipgi
topic #22: 0.003*idtb + 0.002*bid + 0.002*kr + 0.002*filler + 0.001*slot + 0.001*utterance + 0.001*negotiative + 0.001*bids + 0.001*inform + 0.001*belief
topic #23: 0.003*comparative + 0.003*song + 0.003*album + 0.003*exemplar + 0.003*activation + 0.002*actp + 0.002*exemplars + 0.002*ipod + 0.002*comparator + 0.001*songs
topic #24: 0.000*wv + 0.000*srl + 0.000*ck + 0.000*src + 0.000*chinese + 0.000*sun + 0.000*ding + 0.000*weiwei + 0.000*bikel + 0.000*head
topic #25: 0.007*rule + 0.006*np + 0.006*sense + 0.006*rules + 0.006*grammar + 0.005*parser + 0.005*web + 0.005*noun + 0.004*extraction + 0.004*trees
topic #26: 0.003*dmv + 0.002*phylogeny + 0.002*phylogenetic + 0.002*logp + 0.002*fuzzy + 0.001*allpairs + 0.001*slovene + 0.001*nch + 0.001*replies + 0.001*couples
topic #27: 0.003*seeds + 0.002*tuples + 0.001*keet + 0.001*artale + 0.001*partwhole + 0.001*initializing + 0.001*harvested + 0.001*ie + 0.001*meronymic + 0.001*mereological
topic #28: 0.003*discourse + 0.003*nombank + 0.003*implicit + 0.003*bp + 0.002*regina + 0.002*reordering + 0.001*prasad + 0.001*barzilay + 0.001*podcast + 0.001*hearst
topic #29: 0.004*dispreferred + 0.002*preferred + 0.001*furniture + 0.001*orderings + 0.001*attribute + 0.001*reg + 0.001*gatt + 0.001*trials + 0.001*primes + 0.001*attributes
topic #30: 0.003*hhmm + 0.003*moods + 0.003*anew + 0.002*emotion + 0.002*plausibility + 0.002*mood + 0.001*ftd + 0.001*qt + 0.001*affective + 0.001*schuler
topic #31: 0.001*la + 0.001*zld + 0.001*labc + 0.001*bc + 0.001*commonalities + 0.001*dir + 0.001*abc + 0.001*kurihara + 0.001*nonterminal + 0.001*wl
topic #32: 0.004*student + 0.003*customization + 0.003*tutoring + 0.003*dzikovska + 0.002*tutorial + 0.002*questionnaire + 0.002*beetle + 0.002*myroslava + 0.001*answers + 0.001*tutor
topic #33: 0.005*vp + 0.005*grammars + 0.004*textrunner + 0.003*finite + 0.003*stsg + 0.003*structural + 0.003*sj + 0.003*loss + 0.003*strings + 0.002*string
topic #34: 0.003*gf + 0.002*ranta + 0.002*bha + 0.002*fpa + 0.002*gt + 0.002*fg + 0.002*outside + 0.002*ha + 0.001*bridge + 0.001*fp
topic #35: 0.003*sandhi + 0.003*embeddings + 0.002*tiger + 0.002*gestures + 0.002*sanskrit + 0.002*gesture + 0.002*collobert + 0.002*prosodic + 0.002*ilp + 0.002*weston
topic #36: 0.004*instruction + 0.004*ugaritic + 0.003*referring + 0.002*descriptive + 0.002*spatial + 0.002*giver + 0.002*hebrew + 0.001*distinctive + 0.001*decipherment + 0.001*reward
topic #37: 0.003*yn + 0.003*psycholinguistic + 0.002*degenerate + 0.002*demberg + 0.002*crocker + 0.001*behavioral + 0.001*staggered + 0.001*altmann + 0.001*challenge + 0.001*dubey
topic #38: 0.003*polar + 0.001*opinionexpression + 0.001*consumer + 0.001*somasundaran + 0.001*holders + 0.001*capella + 0.000*marking + 0.000*holder + 0.000*markable + 0.000*lenient
topic #39: 0.004*constraints + 0.004*ne + 0.004*programming + 0.004*solution + 0.003*si + 0.003*entropy + 0.003*elements + 0.003*modifier + 0.003*traditional + 0.002*encoding
topic #40: 0.001*informativeness + 0.001*loose + 0.001*nnp + 0.001*spitkovsky + 0.001*bracketing + 0.001*late + 0.001*dmv + 0.001*html + 0.001*translated + 0.001*star
topic #41: 0.004*reinforcement + 0.003*wrtg + 0.002*policies + 0.002*jargon + 0.002*transducers + 0.002*inverse + 0.002*policy + 0.002*structured + 0.002*prediction + 0.002*reg
topic #42: 0.009*opinion + 0.008*dialogue + 0.007*sentiment + 0.006*expressions + 0.005*lexicon + 0.005*reference + 0.005*em + 0.004*expression + 0.004*precision + 0.004*referring
topic #43: 0.004*subtree + 0.003*readings + 0.002*weakest + 0.002*rewrite + 0.001*dominance + 0.001*sim + 0.001*cfcooc + 0.001*subtrees + 0.001*cffull + 0.001*fork
topic #44: 0.004*correlation + 0.004*event + 0.003*induction + 0.003*graphs + 0.003*sequences + 0.003*events + 0.003*faster + 0.003*packed + 0.003*overview + 0.003*scenario
topic #45: 0.003*risk + 0.003*risks + 0.003*promodes + 0.003*qt + 0.003*bji + 0.002*tasa + 0.002*conversation + 0.001*ris + 0.001*tji + 0.001*morpheme
topic #46: 0.003*articulatory + 0.002*tract + 0.001*mocha + 0.001*torgo + 0.001*ema + 0.001*acoustic + 0.001*vocal + 0.001*dynamics + 0.001*tada + 0.001*saltzman
topic #47: 0.002*intent + 0.002*expressive + 0.002*grammars + 0.002*formalisms + 0.002*genabith + 0.002*miyao + 0.002*yusuke + 0.001*im + 0.001*ih + 0.001*ihs
topic #48: 0.000*vest + 0.000*lays + 0.000*intrinsic + 0.000*jahna + 0.000*jeu + 0.000*justifies + 0.000*kea + 0.000*kong + 0.000*located + 0.000*initialize
topic #49: 0.004*pivot + 0.004*scl + 0.003*bunsetsu + 0.003*pclsa + 0.002*plsa + 0.002*bunsetsus + 0.002*sassano + 0.001*ando + 0.001*wan + 0.001*xs
topic #50: 0.000*vest + 0.000*lays + 0.000*intrinsic + 0.000*jahna + 0.000*jeu + 0.000*justifies + 0.000*kea + 0.000*kong + 0.000*located + 0.000*initialize
topic #51: 0.003*motor + 0.003*fk + 0.003*bcb + 0.003*syllable + 0.002*arabic + 0.002*vs + 0.002*syllabification + 0.001*speech + 0.001*bhattacharyya + 0.001*syllables
topic #52: 0.005*rationales + 0.003*topological + 0.003*crf + 0.003*asr + 0.002*transliteration + 0.002*tts + 0.002*jscm + 0.002*adaptation + 0.001*emime + 0.001*zaidan
topic #53: 0.003*ims + 0.002*lmbr + 0.002*allauzen + 0.001*tou + 0.001*senseval + 0.001*hwee + 0.001*mbr + 0.001*nr + 0.001*chan + 0.001*openfst
topic #54: 0.003*assisting + 0.003*spelling + 0.003*arabic + 0.003*multiprf + 0.002*clickthrough + 0.002*dative + 0.001*feedback + 0.001*speller + 0.001*syntagmatic + 0.001*correction
topic #55: 0.002*aijk + 0.002*pashto + 0.002*schema + 0.001*petrov + 0.001*subcategories + 0.001*gdf + 0.001*parseval + 0.001*diversified + 0.001*xiang + 0.001*ajk
topic #56: 0.003*itg + 0.003*owl + 0.002*dpdi + 0.002*lcs + 0.002*axioms + 0.002*admiral + 0.002*crowning + 0.001*scorewd + 0.001*axiom + 0.001*consensus
topic #57: 0.004*reconcile + 0.001*bengtson + 0.001*finley + 0.000*bart + 0.000*lappin + 0.000*livermore + 0.000*configured + 0.000*qiu + 0.000*desiderata + 0.000*rap
topic #58: 0.003*paraphrase + 0.002*students + 0.002*lre + 0.002*temporal + 0.002*etens + 0.002*timeml + 0.002*lattices + 0.002*answer + 0.002*lattice + 0.001*recovery
topic #59: 0.010*translation + 0.008*semantic + 0.005*bleu + 0.005*phrase + 0.005*wordnet + 0.005*wikipedia + 0.004*training + 0.004*source + 0.004*pages + 0.004*verb
topic #60: 0.002*cogniac + 0.001*zhuang + 0.001*movie + 0.001*impersonal + 0.001*darmstadt + 0.001*demonstrative + 0.000*opinion + 0.000*resolves + 0.000*multiword + 0.000*mars
topic #61: 0.002*wv + 0.002*lus + 0.002*lexpar + 0.002*src + 0.002*image + 0.002*aker + 0.001*tower + 0.001*ck + 0.001*eiffel + 0.001*fred
topic #62: 0.003*ciphers + 0.002*cipher + 0.002*plaintext + 0.002*ciphertext + 0.001*character + 0.001*solutions + 0.001*ci + 0.001*decipherment + 0.001*greenhouse + 0.001*cells
topic #63: 0.003*confounder + 0.002*nyt + 0.002*vd + 0.001*neighbor + 0.001*confounders + 0.001*buckets + 0.001*apw + 0.001*backing + 0.000*bucket + 0.000*gaustad
topic #64: 0.002*experience + 0.002*experiences + 0.002*monosemous + 0.002*reichart + 0.001*activity + 0.001*landmark + 0.001*vendler + 0.001*experiencer + 0.001*seginer + 0.001*kurashima
topic #65: 0.004*rte + 0.002*cmsms + 0.002*multiplication + 0.001*hj + 0.001*bounded + 0.001*dynamic + 0.001*tensor + 0.001*vsms + 0.001*compositionality + 0.001*gss
topic #66: 0.003*sampler + 0.002*blocked + 0.002*tsg + 0.001*bod + 0.001*mh + 0.001*cfg + 0.001*hates + 0.000*khalil + 0.000*initialisation + 0.000*mcmc
topic #67: 0.003*tourism + 0.002*health + 0.002*injection + 0.001*injections + 0.001*predominant + 0.001*adaptation + 0.001*polysemous + 0.001*koeling + 0.001*lacalle + 0.001*wfs
topic #68: 0.003*wikipage + 0.003*items + 0.003*inside + 0.002*deduction + 0.002*item + 0.002*ka + 0.002*edge + 0.002*wikipages + 0.002*tka + 0.002*babelnet
topic #69: 0.005*cognate + 0.002*pcfgs + 0.002*adaptor + 0.002*lda + 0.002*vbleu + 0.002*planar + 0.002*trustrank + 0.002*topici + 0.002*nonterminals + 0.001*crossing
topic #70: 0.000*vest + 0.000*lays + 0.000*intrinsic + 0.000*jahna + 0.000*jeu + 0.000*justifies + 0.000*kea + 0.000*kong + 0.000*located + 0.000*initialize
topic #71: 0.004*xi + 0.003*adaptation + 0.003*reviews + 0.003*rating + 0.002*priors + 0.002*blitzer + 0.002*nl + 0.002*adapted + 0.002*chen + 0.002*dimensionality
topic #72: 0.006*attribute + 0.006*answers + 0.005*reviews + 0.004*attributes + 0.004*article + 0.004*answer + 0.003*sentiment + 0.003*sigir + 0.003*yt + 0.003*edge
topic #73: 0.006*documents + 0.004*polarity + 0.004*error + 0.004*dataset + 0.004*lexical + 0.004*confidence + 0.004*random + 0.003*frame + 0.003*articles + 0.003*threshold
topic #74: 0.003*instructions + 0.003*systemt + 0.002*environment + 0.002*cpsl + 0.002*aql + 0.002*expressivity + 0.002*commands + 0.002*command + 0.001*branavan + 0.001*instruction
topic #75: 0.004*metaphor + 0.002*amms + 0.002*metaphorical + 0.002*cer + 0.002*bigramme + 0.002*ramm + 0.001*pexp + 0.001*damm + 0.001*metaphors + 0.001*amm
topic #76: 0.004*linear + 0.003*symbol + 0.003*svms + 0.003*subject + 0.003*perceptron + 0.003*generic + 0.003*million + 0.002*aspect + 0.002*sections + 0.002*attachment
topic #77: 0.001*numerical + 0.001*davidov + 0.001*width + 0.001*requested + 0.001*qa + 0.001*enrichment + 0.001*approximations + 0.001*unassigned + 0.001*toyota + 0.001*rappoport
topic #78: 0.010*tree + 0.010*argument + 0.009*predicate + 0.008*arguments + 0.007*node + 0.006*srl + 0.006*ccg + 0.006*nodes + 0.005*relation + 0.005*label
topic #79: 0.001*npk + 0.001*anaphoricity + 0.001*resolver + 0.001*versley + 0.001*nicolae + 0.001*xiaofeng + 0.000*bean + 0.000*npj + 0.000*connolly + 0.000*computationallinguistics
topic #80: 0.006*entailment + 0.004*agreement + 0.004*wsj + 0.004*speech + 0.003*character + 0.003*labeling + 0.003*compound + 0.003*taxonomy + 0.003*suffix + 0.003*field
topic #81: 0.004*preposition + 0.003*cyc + 0.002*frames + 0.002*lsh + 0.002*verbnet + 0.002*signatures + 0.002*esl + 0.002*stream + 0.001*streaming + 0.001*ravichandran
topic #82: 0.003*dcop + 0.003*taxonomy + 0.002*utility + 0.001*tfit + 0.001*zip + 0.001*taluk + 0.001*gentfit + 0.001*houston + 0.001*addresses + 0.001*dwi
topic #83: 0.006*features + 0.006*coreference + 0.005*annotation + 0.005*smt + 0.005*feature + 0.004*syntactic + 0.004*parse + 0.004*proceedings + 0.004*entity + 0.004*summaries
topic #84: 0.007*languages + 0.004*states + 0.004*reading + 0.004*representations + 0.004*constraint + 0.004*nouns + 0.003*content + 0.003*functions + 0.003*terms + 0.003*identification
topic #85: 0.000*selectional + 0.000*linklda + 0.000*preferences + 0.000*topics + 0.000*jointlda + 0.000*arguments + 0.000*pantel + 0.000*topic + 0.000*bergsma + 0.000*argument
topic #86: 0.002*adsorption + 0.001*talukdar + 0.001*freebase + 0.000*pivnj + 0.000*suchanek + 0.000*pcvont + 0.000*classinstance + 0.000*ferbruary + 0.000*probst + 0.000*albums
topic #87: 0.002*definitional + 0.002*lattices + 0.002*hypernym + 0.002*visual + 0.001*rational + 0.001*regressions + 0.001*ukwac + 0.001*wcl + 0.001*star + 0.001*eyes
topic #88: 0.005*nps + 0.002*coreferent + 0.002*dynamic + 0.002*novels + 0.002*static + 0.001*gj + 0.001*ceaf + 0.001*urban + 0.001*literary + 0.001*stoyanov
topic #89: 0.002*regex + 0.002*stem + 0.001*maamouri + 0.001*regexes + 0.001*atb + 0.001*tokenization + 0.001*habash + 0.001*arabic + 0.001*diab + 0.001*pos
topic #90: 0.004*ncd + 0.003*mncd + 0.002*member + 0.002*raama + 0.002*malt + 0.002*mst + 0.002*seba + 0.002*hindi + 0.001*ppmz + 0.001*boosting
topic #91: 0.001*za + 0.001*iyu + 0.001*nesting + 0.001*wellington + 0.001*matchf + 0.001*samt + 0.001*arabicenglish + 0.001*substitutions + 0.000*zh + 0.000*multitext
topic #92: 0.003*lex + 0.002*gutenberg + 0.002*medline + 0.001*adjective + 0.001*malouf + 0.001*troops + 0.001*vbd + 0.001*prenominal + 0.001*nyt + 0.000*straightener
topic #93: 0.001*ssr + 0.001*structural + 0.001*bow + 0.001*weps + 0.001*hac + 0.001*relatedness + 0.001*wjk + 0.001*malin + 0.001*nba + 0.001*basketball
topic #94: 0.003*nlg + 0.002*itg + 0.002*ip + 0.002*bispans + 0.002*realiser + 0.001*wizard + 0.001*woz + 0.001*rl + 0.001*rieser + 0.001*bispan
topic #95: 0.003*diversity + 0.002*cbsm + 0.002*supertypes + 0.002*xiong + 0.002*harvested + 0.001*cbtm + 0.001*supertype + 0.001*recursive + 0.001*fly + 0.001*setiawan
topic #96: 0.004*ontousp + 0.003*seq + 0.003*extractions + 0.002*usp + 0.002*isa + 0.001*functionality + 0.001*density + 0.001*cafarella + 0.001*totalconf + 0.001*localconf
topic #97: 0.003*story + 0.003*princess + 0.002*qa + 0.002*prince + 0.002*stories + 0.002*cores + 0.002*slot + 0.002*formats + 0.002*lldev + 0.002*mrr
topic #98: 0.007*alignment + 0.006*dependency + 0.005*parsing + 0.004*user + 0.004*sentence + 0.004*topic + 0.004*similarity + 0.004*document + 0.004*target + 0.004*chinese
topic #99: 0.003*title + 0.003*projected + 0.003*hal + 0.002*rm + 0.002*mst + 0.002*ctb + 0.001*event + 0.001*projection + 0.001*events + 0.001*pagerank
Latent Dirichlet allocation
In natural language processing, latent Dirichlet allocation (LDA) is a generative model that allows sets of observations to be explained by unobserved groups that explain why some parts of the data are similar. For example, if observations are words collected into documents, it posits that each document is a mixture of a small number of topics and that each word's creation is attributable to one of the document's topics. LDA is an example of a topic model and was first presented as a graphical model for topic discovery by David Blei, Andrew Ng, and Michael Jordan in 2003.
Topics in LDA
In LDA, each document may be viewed as a mixture of various topics. This is similar to probabilistic latent semantic analysis (pLSA), except that in LDA the topic distribution is assumed to have a Dirichlet prior. In practice, this results in more reasonable mixtures of topics in a document. It has been noted, however, that the pLSA model is equivalent to the LDA model under a uniform Dirichlet prior distribution.
For example, an LDA model might have topics that can be classified as CAT_related and DOG_related. A topic has probabilities of generating various words, such as milk, meow, and kitten, which can be classified and interpreted by the viewer as "CAT_related". Naturally, the word cat itself will have high probability given this topic. The DOG_related topic likewise has probabilities of generating each word: puppy, bark, and bone might have high probability. Words without special relevance, such as the (see function word), will have roughly even probability between classes (or can be placed into a separate category). A topic is not strongly defined, neither semantically nor epistemologically. It is identified on the basis of supervised labeling and (manual) pruning on the basis of their likelihood of co-occurrence. A lexical word may occur in several topics with a different probability, however, with a different typical set of neighboring words in each topic.
Each document is assumed to be characterized by a particular set of topics. This is akin to the standard bag of words model assumption, and makes the individual words exchangeable.
Model
With plate notation, the dependencies among the many variables can be captured concisely. The boxes are “plates” representing replicates. The outer plate represents documents, while the inner plate represents the repeated choice of topics and words within a document. M denotes the number of documents, N the number of words in a document. Thus:
α is the parameter of the Dirichlet prior on the per-document topic distributions,
β is the parameter of the Dirichlet prior on the per-topic word distribution,
\theta_i is the topic distribution for document i,
\phi_k is the word distribution for topic k,
z_{ij} is the topic for the jth word in document i, and
w_{ij} is the specific word.
The w_{ij} are the only observable variables, and the other variables are latent variables. Mostly, the basic LDA model will be extended to a smoothed version to gain better results .[citation needed] The plate notation is shown on the right, where K denotes the number of topics considered in the model and:
\phi is a K*V (V is the dimension of the vocabulary) Markov matrix each row of which denotes the word distribution of a topic.
The generative process behind is that documents are represented as random mixtures over latent topics, where each topic is characterized by a distribution over words. LDA assumes the following generative process for a corpus D consisting of M documents each of length N_i:
1. Choose \theta_i \, \sim \, \mathrm{Dir}(\alpha) , where i \in \{ 1,\dots,M \} and \mathrm{Dir}(\alpha) is the Dirichlet distribution for parameter \alpha
2. Choose \phi_k \, \sim \, \mathrm{Dir}(\beta) , where k \in \{ 1,\dots,K \}
3. For each of the word positions i, j, where j \in \{ 1,\dots,N_i \} , and i \in \{ 1,\dots,M \}
(a) Choose a topic z_{i,j} \,\sim\, \mathrm{Multinomial}(\theta_i).
(b) Choose a word w_{i,j} \,\sim\, \mathrm{Multinomial}( \phi_{z_{i,j}}) .
(Note that the Multinomial distribution here refers to the Multinomial with only one trial. It is formally equivalent to the categorical distribution.)
The lengths N_i are treated as independent of all the other data generating variables (q and z). The subscript is often dropped, as in the plate diagrams shown here.
Inference
Learning the various distributions (the set of topics, their associated word probabilities, the topic of each word, and the particular topic mixture of each document) is a problem of Bayesian inference. The original paper used a variational Bayes approximation of the posterior distribution;[1] alternative inference techniques use Gibbs sampling and expectation propagation.
Following is the derivation of the equations for collapsed Gibbs sampling, which means \varphis and \thetas will be integrated out. For simplicity, in this derivation the documents are all assumed to have the same length N_{}. The derivation is equally valid if the document lengths vary.
Applications, extensions and similar techniques
Topic modeling is a classic problem in information retrieval. Related models and techniques are, among others, latent semantic indexing, independent component analysis, probabilistic latent semantic indexing, non-negative matrix factorization, and Gamma-Poisson distribution.
The LDA model is highly modular and can therefore be easily extended. The main field of interest is modeling relations between topics. This is achieved by using another distribution on the simplex instead of the Dirichlet. The Correlated Topic Model follows this approach, inducing a correlation structure between topics by using the logistic normal distribution instead of the Dirichlet. Another extension is the hierarchical LDA (hLDA), where topics are joined together in a hierarchy by using the nested Chinese restaurant process. LDA can also be extended to a corpus in which a document includes two types of information (e.g., words and names), as in the LDA-dual model. Nonparametric extensions of LDA include the Hierarchical Dirichlet process mixture model, which allows the number of topics to be unbounded and learnt from data and the Nested Chinese Restaurant Process which allows topics to be arranged in a hierarchy whose structure is learnt from data.
As noted earlier, PLSA is similar to LDA. The LDA model is essentially the Bayesian version of PLSA model. The Bayesian formulation tends to perform better on small datasets because Bayesian methods can avoid overfitting the data. In a very large dataset, the results are probably the same. One difference is that PLSA uses a variable d to represent a document in the training set. So in PLSA, when presented with a document the model hasn't seen before, we fix \Pr(w \mid z)—the probability of words under topics—to be that learned from the training set and use the same EM algorithm to infer \Pr(z \mid d)—the topic distribution under d. Blei argues that this step is cheating because you are essentially refitting the model to the new data.
Variations on LDA have been used to automatically put natural images into categories, such as "bedroom" or "forest", by treating an image as a document, and small patches of the image as words; one of the variations is called Spatial Latent Dirichlet Allocation.
from wiki http://en.wikipedia.org/wiki/Latent_Dirichlet_allocation


---
layout: post
title: "Big Squid Washing Ashore Near Seaside\r\n\t\r\n\t\t\t\t\t\t\t\t\tBig squid
washing ashore near Seaside | \r\n\t\t\t\tkgw.com\r\n\t\t\t\t| News\r\n\t"
date: '2009-12-12T08:30:04-08:00'
tags:
tumblr_url: http://alexhwilliams.tumblr.com/post/280392194/big-squid-washing-ashore-near-seaside-big
---
Big Squid Washing Ashore Near Seaside
Big squid washing ashore near Seaside |
kgw.com
| News


Add a scrollable lined area to a standard TextArea control.
Visit http://alan.blog-city.com/jquerylinedtextarea.htm for details and download


WITNESS LIST Tax Reform & Public School Finance, Select Committee March 24, 1997-1:30P in General On: Eads, John A. (TX Society of CPA's), Dallas Registering, but not testifying: On: Barton, Karey W. (Comptroller of Pub Acct), Austin Advertising Media On: Davidson, Jim (TX Assn of Broadcasters), Washington, DC Geller, Glenn (TX Cncl of Ad & Mag Pub), Irving Lee, Mike (TX Assn of Broadcasters), Amarillo Architectural & Engineering Service On: Lancaster, David (TX Society of Architect), Austin Commercial Leases On: Niemann, Larry (Itnl Cncl of Shopping C), Austin Peairson, Mitchell F. (TX Building Owner's), Houston Stinson, Bill (TX Assn of Realtors), Austin Employment Agency Services On: Crank, Susan M. (TX Assn of Personnel), San Antonio Legal Services On: Apffel, Trey (State Bar of Texas), Texas City New Residential Construction On: Ford, Richard (Free Market Committee), Dallas Neugebauer, Randy (TX Assn of Builders), Lubbock New Residential Real Prop Services On: Ford, Richard (Free Market Committee), Dallas Neugebauer, Randy (Tx Assn of Builders), Lubbock Non-profit Organizations On: Ford, Richard (Free Market Committee), Dallas Real Estate Brokerage & Agency On: Stinson, Bill (TX Assn of Realtors), Austin Residential Real Prop Rep & Rem On: Bybee, Don (TX Assn of Builders), Arlington Telecommunications On: Gray, Weldon R. (TX Telephone Assn), Henderson Temporary Labor Supply On: Crowley-Martinez, Cyndi (TX Assn of Staffing), Austin Registering, but not testifying: On: Bratton, Pamela (Career Cons Staffing), Austin


Baaghi 3: Tiger Shroff Soars The Temperature With His Hot & Intense Look
The Heropanti actor who has been shooting for the action thriller in Serbia from a past number of days shared a couple of pictures sporting a new look.
by Koimoi.com TeamBollywood heartthrob Tiger Shroff never misses a chance to make heads turn. The dashing actor who is quite popular on Instagram following his images, dance, and fitness videos, today took on the photo-video sharing app to share his look from his upcoming action thriller Baaghi 3.
The Heropanti actor who has been shooting for the action thriller in Serbia from a past number of days shared a couple of pictures sporting a new look.
Talking about the pictures, the actor can be seen sporting a hot yet intense look. The actor is seen dressed in a sleeveless shirt paired with cargo pants and sunglasses flaunting his dashing looks and well-toned muscles.
Tiger starrer is the third installment to Baaghi franchise. The action-thriller is an official remake of 2012 released Tamil film Vettai.
The film has gorgeous actress Shraddha Kapoor in lead opposite Tiger. The action venture also has versatile actor Riteish Deshmukh in a pivotal role along with Ankita Lokhande, Ashutosh Rana, Nora Fatehi and Annu Kapoor.
The Tiger starrer is been helmed by choreographer turned filmmaker Ahmed Khan, and it is been produced by Sajid Nadiadwala under Nadiadwala Grandson entertainment productions.
The music for the film is been composed by Meet Bros, Tanishk Bagchi, Rochak Kohli, Amaal malik.
It is slated to release in March 2020.


Justin Timberlake holds hands with co-star and ditches wedding ring
Justin Timberlake has been seeing holding hands with co-star Alisha Wainwright having ditched his wedding ring.
The star, who is married to Jessica Biel and shares son, Silas, four with the actor, looked cosy with his colleague as they were pictured enjoying a boozy night out recently.
In images obtained by The Sun, Alisha, 30, can be seen with her hand on 38-year-old Justin’s leg, while in another photo the pair hold hands under the table.
Wearing a cap, Justin looks up at Alisha as she, at one stage, got up from her seat holding a bottle as she draped herself over a railing.
The pair were sitting on a balcony, surrounded by other partygoers who all appeared to be having a wow of a time they joked with Justin, who was in great spirits.
Justin, who married Jessica in 2012, was seen without his wedding band in the New Orleans bar, as he took a break from filming latest project, Palmer.
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In footage he appeared unsteady on his feet as he was helped up by another friend, leaving the area without Alisha, who remained and chatted with friends.
According to the publication, the pair were on the balcony for around 40 minutes before leaving at 12.30am.
This may be nothing more than a friendly interaction, with the pair surrounded by a larger group.
However, neither Justin nor Alisha, or Jessica for that matter, have publicly addressed the images so far.
Justin often shares gushing tributes to his wife, earlier this year posting a sweet message to celebrate her 37th birthday.
The singer shared a number of cute throwback pictures of the couple to celebrate the day, including selfies and posed backstage shots.
In the post caption, he called his wife his ‘partner in this thang called life’ and described her as the ‘god of all smoke shows’.
 You make me smile, laugh, and love life more than I knew I could. I cherish every moment with you and can’t wait to spend so many more years doing the same… but, new.  Love, Your Huz.’
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Metro.co.uk contacted Justin’s reps for comment.
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If you've got a story, video or pictures get in touch with the Metro.co.uk Entertainment team by emailing us<EMAIL_ADDRESS>calling 020 3615 2145 or by visiting our Submit Stuff page - we'd love to hear from you.


Menu with contentStack dynamic testing
DYNAMIC UPDATES
In order to test what happens when stackId is null or not found. have to set
the stackId in the backing bean to something other than stack1 and then
deploy. To test other things dynamically, change the stackId back to
stack1 and then redeploy. contentStackMenu stores the value for the
stack id after finding it first and will only find it again if its
not found(MOBI-470)
panel2 has no value set for label, so the renderer will determine if the
value is not null and use the string value of that instead. panel2 must not
have label of null. (MOBI476).
RESULTS:


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For purposes of this application, we may collect information from you, limited to your email, username, and real name tied to your Google Acccount. Your username created for the app will be visible to other users of the site, along with a description entered by you. We will not share your information with any other entity outside of the website unless required by law. At the user's request, their information will be purged from our database after proof of their identity.
Know that we have made every attempt to ensure your information is secure, and we will never intentionally expose your information outside of what was stated to be visible above.
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This p element is the next sibling element of a div element.
This is another p element.
This is a p element inside a div element.
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|
Table 1
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US FDA-approved monoclonal antibody on the market |
|
Table 2
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Top 10 best-selling monoclonal antibody drugs in 2018 |
|
Table 3
|
Key patents covering phage-displayed antibody libraries |
|
Table 4
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The major platforms of human antibody transgenic animals in ... |
|
Table 5
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US FDA-approved human mAbs |


--- layout: post title: Rails 3 Gotcha published: true date: 2010-10-27 categories: [] posterous_url: http://blog.hungerandthirstdesign.com/post/1412661181/rails-3-gotcha posterous_slug: post/1412661181/rails-3-gotcha ---
This is a new one. Ran into this whilst deploying a new server tonight. Rails 3 defaults to use XSendfile to force the HTTP server (Apache/Nginx) to handle all static file sends.
So here’s the deal, this fun little Apache module is buried deep in the pages of the interwebs. It’s not super well known or documented.
So for my everyone’s peace of mind, the docs and source can be found here: https://tn123.org/mod_xsendfile/
The trouble is what happens when you try to use send_file, is Rails will handle the request perfectly, down to renaming the very empty file you just sent the user when XSendfile is not installed, enabled or properly configured. Its not hard, its just not easily documented or discovered. So after almost an hour of trying to remember how I fixed this, I ran into this article, which details the exact same problem/output I saw.
Updated, configured, fixed. Thanks internets.


West Highlands Forecast
Western Highlands accessible from, and south of, Glenfinnan (Road to the Isles) and Glen Spean (includes Creag Meagaidh). This area include Ben Nevis and the mountains around Glencoe. In the east, includes Ben Alder south to Loch Lomond and Trossachs NP. Includes Arran and Mull.
Viewing Weather Forecast for Tuesday 16th July 2019
Forecast last updated on Tuesday 16th July 2019 at 4:26pm
Summary for all mountain areas
Many places often dry, but there will be a few bursts of rain around, these concentrated toward E/NE Scotland in the afternoon/evening, chance of a rumble of thunder. Cloud often above many hills. Wind fairly light. Feeling warm and quite humid again.
Headline for West Highlands
A little rain. Cloud breaks inland. Light winds.
How windy? (On the Munros)
South to southwesterly 10 to 15mph or less, may reach 20mph coastal summits around Mull.
Effect of wind on you?
Small
How Wet? (Precipitation and its impact)
Occasional rain, isolated heavier bursts.
Patches of rain most widely in the morning, generally amounting to very little, but may give a brief burst of rain and locally may linger over an hour or more. Small chance of an isolated thundery burst afternoon.
Cloud on the hills?
Becoming confined to higher tops away from coast.
Banks of cloud covering some slopes in morning, becoming mostly confined above 800m away from patchy rain. Cloud may linger on western coastal tops much of day, whilst inland, breaks should form to many higher slopes, particularly afternoon.
Chance of cloud free Munros?
40% coastal hills, rising to 70% inland.
Sunshine?
Air clarity (below cloud)
Skies often cloudy, glimpses of sun. Visibility generally good; slight haze.
How Cold? (at 900m)
10 rising to 12C inland; but staying nearer 9C around the coast; feeling quite humid, especially inland glens.
Freezing Level
Above the summits.
Planning Outlook
All mountain areas of Britain from Wednesday 17th July 2019
Pressure will be fairly low, and a southwesterly airflow will prevail later this week and into the weekend. Rain frequent, with some heavy falls at times, with local variations - likely concentrated on Wales/northern England on Friday into Saturday. Cloud often covering hills, although there will be breaks. Wind typically fairly light, but strengthening intermittently. Some days feeling warm and humid, but overall temperatures close to average.


Legal agreements get a bad rap for a good reason. They dictate an incredibly important set of terms, but are painfully dense. We can do better. With the goal of greater transparency, I took a couple of WellnessFX’s primary user agreements, and paired each section with a concise summary in plain, easy to understand English.


BREAKING Goo Hara has passed away; police currently investigating cause of death
by danisurstGoo Hara has passed away.
As previously reported, the idol, formerly of the group KARA, was found unconscious at her private residence.
According to the Seoul Gangnam Police, she was already no longer breathing when she was discovered at her home in the district's Cheongdam neighborhood at approximately 6:09 PM. They added that they are currently investigating her cause of death.
Stay tuned for additional news.


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> npm i spotifydl-core
You need to intialize the Spotify
Class before acessing the methods inside it.
const Spotify = require('spotifydl-core').default
//import Spotify from 'spotifydl-core'
const credentials = {
clientId: 'your-client-id',
clientSecret: 'your-client-secret'
}
const spotify = new Spotify(credentials)
NOTE: Only some methods are shown here. Checkout the docs depth
Get Track ⏭
await spotify.getTrack(track_url)
// For Example: track_url = 'https://open.spotify.com/track/1Ub6VfiTXgyV8HnsfzrZzC?si=4412ef4ebd8141ab'
// Input: url of the track, Type: string
Download Track/Song ⬇
await spotify.downloadTrack(track_url, file_name)
// For Example: track_url = 'https://open.spotify.com/track/1Ub6VfiTXgyV8HnsfzrZzC?si=4412ef4ebd8141ab' & file_name = 'song.mp3'
// Input: url of the track and name of the filename, Both Type: string
// It'll return buffer (promise) if you don't provide any filename
Get Artist 👩🎤🧑🎤
await spotify.getArtist(artist_url)
// For Example: artist_url = 'https://open.spotify.com/artist/3B9O5mYYw89fFXkwKh7jCS'
// Input: url of the artist, Type: string
Get Album 💽
await spotify.getAlbum(album_url)
// For Example: album_url = 'https://open.spotify.com/album/3u3WsbVPLT0fXiClx9GYD9?si=pfGAdL3VRiid0M3Ln_0DNg'
// Input: url of the album, Type: string
Get Playlist 🎧
await spotify.getPlylist(playlist_url)
// Input: url of the playlist, Type: string
Download an Entire playlist
await spotify.downloadPlaylist(playlist_url)
//It'll return an array containing the Buffer of the songs in the playlist
const fs = require('fs-extra')
// Initialization and Authentication
const Spotify = require('spotifydl-core').default // Import the library
const spotify = new Spotify({ // Authentication
clientId: 'acc6302297e040aeb6e4ac1fbdfd62c3', // <-- add your own clientId
clientSecret: '0e8439a1280a43aba9a5bc0a16f3f009', // <-- add your own clientSecret
})
/* To learn more about clientId and Secret ,
visit https://developer.spotify.com/documentation/general/guides/app-settings/
*/
// Declaring the respective url in 'links' object
const links = {
artist: 'https://open.spotify.com/artist/7ky9g1jEjCsjNjZbYuflUJ?si=2To3fmc-T9KuyyrQ-Qp5KQ', // Url of the artist you want to gather info about
album: 'https://open.spotify.com/album/3u3WsbVPLT0fXiClx9GYD9?si=pfGAdL3VRiid0M3Ln_0DNg', // Url of the album you want to gather info about
song: 'https://open.spotify.com/track/1Ub6VfiTXgyV8HnsfzrZzC?si=4412ef4ebd8141ab' // Url of the song you want to gather info about or download
};
// Engine
(async () => {
const data = await spotify.getTrack(links.song) // Waiting for the data 🥱
console.log('Downloading: ', data.name, 'by:', data.artists.join(' ')) // Keep an eye on the progress
const song = await spotify.downloadTrack(links.song) // Downloading goes brr brr
fs.writeFileSync('song.mp3', song) // Let's write the buffer to the woofer (i mean file, hehehe)
})()
//spotify.verifyCredentials().then(() => Promise.all([spotify.getTrack(links.song), spotify.getAlbum(links.album), spotify.getArtistAlbums(links.artist)]).then(console.log))
Generated using TypeDoc


Physics PhD CandidateGeorgia Institute of Technology @ Atlanta, Georgia - 2017 to PresentPhD Topic: Cosmological Simulations of the First Galaxies and their Observational SignaturesPhD Advisor: Dr. John WiseMaster of ScienceGeorgia Institute of Technology @ Atlanta, Georgia - 2017 to 2018Major: PhysicsCumulative GPA: 3.66/4.00Bachelor of ScienceFlorida State University @ Tallahassee, Florida - 2011 to 2017Major: Physics & AstrophysicsDouble Minor: Computer Science and MathematicsCumulative GPA: 3.76/4.00
Work Experience & Research
Graduate Research AssistantGeorgia Institute of Technology - May 2018 to PresentInvestigating supernova induced formation of extremely metal poor stars in 3D radiation hydrodynamics simulations of the early universe.Research Asvisor: Dr. John WiseKavli Summer Program in Astrophysics FellowCenter for Computational Astrophysics @ Flatiron Institute - Summer 2018Studying the how active galactic nuclei perturb the intra galactic medium by comparing numerical simulations with Chandra observations.Research Advisors: Dr. Yuan Li and Dr. Daisuke NagaiCollaborator: Dr. Irina ZhuravlevaGraduate Teaching AssistantGeorgia Institute of Technology - Fall 2017 to May 2018Recitation TA for Introductory Physics 2211Undergraduate Research AssistantFlorida State University - 2016 to 2017Studying magnetic field allignment in 3D magnetohydrodynamic simulations of turbulent molecular clouds and its influence on star formation.Research Asvisor: Dr. David Collins
Presentations
"Nature of AGN Feedback: Testing Numerical Models with Chandra Observations"Center for Computational Astrophysics. New York, NY, August 2018Kavli Summer Program in Astrophysics
"Magnetic Field Alignment in Simulated Molecular Clouds"Tallahassee, FL, September 2016 President’s Showcase of Undergraduate Research Excellence.
Grants and Scholorships
Presidential FellowshipFall 2017 to 2019Georgia Tech Office of the President and the School of Physics, $5,500/yr for two yearsFlorida State University IDEA GrantSummer 2016Center for Undergraduate Research and Academic Engagement, $4,000Bright Futures Medallion ScholarshipFall 2011 to Spring 2016Florida Department of Education, Approximately $9,300
Honors
Phi Beta Kappa Honor SocietySpring 2017 to PresentInvitation to join Sigma Pi Sigma, National Physics Honor SocietySpring 2016Recognition of high scholarship in physicsPresidents ListFlorida State University. Fall 2013, Summer 2014, Spring 2015, Fall 2016High academic standing, 4.0 GPAGolden Key Honor SocietyFall 2014 to Present
Leadership
Astronomy Club of FSU, Senior Leader2016- Founding member of the first astronomy club at FSU- Teaching undergraduates how use telescopes- Giving advice on how to get involved with undergraduate research


found = curr_node = self._root
found_path = []
dir_list = os.path.normpath(path).split(os.path.sep)
for subdir in dir_list:
curr_node = curr_node.get(subdir)
if not curr_node:
break
:returns: the source_root, set of types valid along that path, or None if no source root has
been registered.
found, found_path = self.get(path)
if found:
return os.path.sep.join(found_path), found.types
return None, None


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Friends having fun playing and also relaxing their body.


We at InnoWaste won't let your waste go into the dump and pollute the environment. We take your waste from the comfort of your homes and give it to the recycling units. We dont mix your waste and we give the option of separating it into diffrent categories like plastic, textile, metal, paper, glass etc.  We give you points in exchange of the waste that you provide us. These points can be utilised to access discount coupons and offers on our merchandise.
We provide you with the service of collecting dry waste once the amount of your waste cross the threshold value.
We provide you a platform where you can share your activites take part in the challenges and events hosted on our app.
We have our own store where you can access discounts and offers based on the points that you will earn by giving us your waste.
Click the button below to download our App


Define how to decide the status of the whole MultiJob Phase, based on the status of current job.
Never Usual behaviour: if this Job is Failed or Unstable, MultiJob Phase will have Failed status.
Stable or Unstable but not Failed If status of this phase is Unstable the MultiJob Phase will have Success status still.
Always The same as previous mode, but Failed status will be ignored for MultiJob Phase status too.
Supported command for DSL-script: ignoreJobResult( 'ALWAYS' or 'NEVER' or 'STABLE' )


SUPERVISOR LEADING HANDS MANAGEMENT
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There is only one wizarding newspaper in Britain, discounting such small circulation publications such as The Quibbler.
The Daily Prophet, whose headquarters are in Diagon Alley, is delivered by owl on a daily basis to nearly every wizarding
household in Britain. Payment is effected by placing coins in the pouch tied to the paper-owl’s leg. Occasionally
(when something particularly interesting or exciting happens, such as the illegal flight of a Ford Anglia the length
of Britain) an Evening Prophet edition will be rushed out.
The Prophet is not an entirely unbiased source of news, and sometimes displays an unfortunately sensationalist tendency
best epitomised by star reporter Rita Skeeter. Ostensibly an independent news source, it has more than once been influenced
by the Ministry (or ruling power) of the day to hush up certain stories. A clue to its overriding motivation may be
found in its name, ‘prophet’ being a homonym of ‘profit’ (although I was also taken with the idea of a wizarding newspaper
claiming foreknowledge of news to come).
Wizardkind tends not to require alternative political flavours in its news coverage (which is not to say, however,
that the Prophet does not have a political agenda). As a small, outsider and occasionally beleaguered community,
wizards are, by and large, interested in the same kinds of stories: the Quidditch League results, whether anyone
is in trouble for infractions of the International Statute of Secrecy, what irritating legislation the Misuse of Muggle
Artefacts Office has come up with now, and when the next Celestina Warbeck/Weird Sisters concert will take place.
It seems likely that wizards will continue to favour old-fashioned newsprint, even while the Muggle world resorts
increasingly to the internet. If Muggle newspapers had moving photographs, their circulation might be similarly buoyant.
Bending the truth, puncturing what she considered to be ‘inflated reputations’ with her poisonous quill, turning into a beetle to eavesdrop on conversations with her skill as an Animagus
A paunchy man, holding a large black camera that was smoking slightly, was watching Fleur out of the corner of his eye.
Always interested to hear your take on the day's news.


Export of finished steel
grew 102%
Production
Finished steel production (for sale) saw over 10% growth year-on-year in FY2016–17 at 100.74 million tonnes (mt), while crude steel production grew 8.5% to finish at 97.44 mt. This is in stark contrast to the YoY growth in FY2015–16 which sat at –1.3% and 0.9% respectively.
The trend seems to be continuing into the current financial year, with the provisional growth numbers for FY2017–18 until the month of May showing a 6.4% rise in production compared to the same time last fiscal for finished steel, while crude steel is up 4.8%.
Exports
Domestic steel consumption grew 2.4 during FY2016–17 against the 10% growth in production. In turn, India’s steel exports grew 102% to reach 8.24 mt as compared to a 27% decline in FY2015–16. The top 10 countries exported to account for more 73% of India’s export during the last year.
Exports made up nearly 10% of all production
A further analysis of export data showed a significant change in export trend—8 out of the top 10 countries by growth in FY2016–17 saw a negative growth of exports just the previous year, while the remaining two saw grow rates above 200%.
The top 3 countries by growth are all in India’s eastern neighbourhood—Vietnam, Malaysia and Taiwan.
Anti-dumping duty to stay
In 2015, the Central Government extended the anti-dumping duty on stainless steel products — instituted in April 2014 — by five years. The duty is based on the margin of dumping and affects the following countries:
- China (57.39%)
- European Union (29.41–52.56%)
- South Africa (12.34–36.91%)
- Chinese Taipei (15.93%)
- Korea (5.39–13.44%)
- USA (9.47%)
- Thailand (4.58–5.39%)
A review of this duty was recently concluded found that while dumping has continued, the net volume has declined since 2014. The Government has decided that the duty will not be revoked in light of this effect and the expected negative impact of such revokation on the domestic steel industry.


Installation#
CmdStanPy is a pure-Python3 package which wraps CmdStan, the command-line interface to Stan which is written in C++. Therefore, in addition to Python3, CmdStanPy requires a modern C++ toolchain in order to build and run Stan models. There are several ways to install CmdStanPy and the underlying CmdStan components.
You can download CmdStanPy, CmdStan, and the C++ toolchain from conda-forge.
If you want the current development version, you can clone the GitHub CmdStanPy repository.
If you install CmdStanPy from PyPI or GitHub you will need to install CmdStan as well, see section CmdStan Installation below.
Conda: install CmdStanPy, CmdStan, C++ toolchain#
If you use conda, you can install CmdStanPy and the underlying CmdStan components from the conda-forge repository via the following command:
conda create -n stan -c conda-forge cmdstanpy
This command creates a new conda environment named stan
and
downloads and installs the cmdstanpy
package
as well as CmdStan and the required C++ toolchain.
To install into an existing environment, use the conda install
command instead of create
:
conda install -c conda-forge cmdstanpy
Whichever installation method you use, afterwards you must
activate the new environment or deactivate/activate the existing one.
For example, if you installed cmdstanpy into a new environment stan
,
run the command
conda activate stan
By default, the latest release of CmdStan is installed.
If you require a specific release of CmdStan, CmdStan versions
2.26.1 and newer can be installed by specifying
cmdstan==VERSION
in the install command.
Versions before 2.26.1 are not available from conda
but can be downloaded from the CmdStan
releases page.
A Conda environment is a directory that contains a specific collection of Conda packages. To see the locations of your conda environments, use the command
conda info -e
The shell environment variable CONDA_PREFIX
points to the active conda environment (if any).
Both CmdStan and the C++ toolchain are installed into the
bin
subdirectory of the conda environment directory, i.e.,
$CONDA_PREFIX/bin/cmdstan
(Linux, MacOS), %CONDA_PREFIX%\bin\cmdstan
(Windows).
PyPI: install package CmdStanPy#
CmdStan can also be installed from PyPI via URL: https://pypi.org/project/cmdstanpy/ or from the
command line using pip
:
pip install --upgrade cmdstanpy
The optional packages are
xarray
, an n-dimension labeled dataset package which can be used for outputs
To install CmdStanPy with all the optional packages:
pip install --upgrade cmdstanpy[all]
GitHub: install from the CmdStanPy repository#
To install the current develop branch from GitHub:
pip install -e git+https://github.com/stan-dev/cmdstanpy@develop#egg=cmdstanpy
Note
Note for PyStan & RTools users: PyStan and CmdStanPy should be installed in separate environments if you are using the RTools toolchain (primarily Windows users). If you already have PyStan installed, you should take care to install CmdStanPy in its own virtual environment.
Jupyter notebook users: If you intend to run CmdStanPy from within a Jupyter notebook, you may need to install the ipywidgets. This will allow for progress bars implemented using the tqdm to display properly in the browser. For further help on Jupyter notebook installation and configuration , see ipywidgets installation instructions and this tqdm GitHub issue.
CmdStan Installation#
If you have installed CmdStanPy from PyPI or Github,
you must install CmdStan.
The recommended way to do so is via the install_cmdstan
function
described below.
If you installed CmdStanPy with conda, CmdStan and the C++ toolchain,
both CmdStan and the C++ toolchain are installed into directory $CONDA_PREFIX/bin
and you don’t need to do any further installs.
C++ Toolchain Requirements#
To compile a Stan program requires a modern C++ compiler and the GNU-Make build utility. These vary by operating system.
Linux The required C++ compiler is g++ 4.9 3
.
On most systems the GNU-Make utility is pre-installed and is the default make
utility.
There is usually a pre-installed C++ compiler as well, but not necessarily new enough.
MacOS The Xcode and Xcode command line tools must be installed. Xcode is available for free from the Mac App Store.
To install the Xcode command line tools, run the shell command: xcode-select --install
.
Windows We recommend using the RTools 4.0 toolchain
which contains a g++ 8
compiler and Mingw
, the native Windows equivalent of the GNU-Make utility.
This can be installed allong with CmdStan when you invoke the function cmdstanpy.install_cmdstan()
with argument compiler=True
.
Function install_cmdstan
#
CmdStanPy provides the function cmdstanpy.install_cmdstan()
which
downloads CmdStan from GitHub and builds the CmdStan utilities.
It can be can be called from within Python or from the command line.
The default install location is a hidden directory in the user $HOME
directory
named .cmdstan
. This directory will be created by the install script.
On Windows, the compiler
option will install the C++ toolchain.
From Python
import cmdstanpy
cmdstanpy.install_cmdstan()
cmdstanpy.install_cmdstan(compiler=True) # only valid on Windows
From the command line on Linux or MacOSX
install_cmdstan
ls -F ~/.cmdstan
On Windows
install_cmdstan --compiler
dir "%HOME%/.cmdstan"
The argument --interactive
(or -i
) can be used to run
the installation script in an interactive prompt. This will ask
you about the various options to the installation script, with
reasonable defaults set for all questions.
The named arguments: -d <directory>
and -v <version>
can be used to override these defaults:
install_cmdstan -d my_local_cmdstan -v 2.27.0
ls -F my_local_cmdstan
Alternate Linux Architectures#
CmdStan can be installed on Linux for the following non-x86 architectures:
arm64
, armel
, armhf
, mips64el
, ppc64el
and s390x
.
CmdStanPy will do its best to determine which of these is applicable for your
machine when running install_cmdstan
. If the wrong choice is made, or if you
need to manually override this, you can set the CMDSTAN_ARCH
environment variable
to one of the above options, or to “false” to use the standard x86 download.
DIY Installation#
If you with to install CmdStan yourself, follow the instructions in the CmdStan User’s Guide.
Locating the CmdStan installation directory#
CmdStanPy uses the environment variable CMDSTAN
to register the CmdStan installation location.
If you use conda to install CmdStanPy, CmdStan is installed into location
$CONDA_PREFIX/bin/cmdstan
(Linux, MacOS),%CONDA_PREFIX%\bin\cmdstan
(Windows) and the environment variableCMDSTAN
is set accordingly.If no environment variable
CMDSTAN
is set, CmdStanPy will try to locate a CmdStan installation in the default install location, which is a directory named.cmdstan
in your$HOME
directory.
If you have installed CmdStan from a GitHub release or by cloning the CmdStan repository,
you will need to set this location, either via the CMDSTAN
environment variable,
or via the CmdStanPy command set_cmdstan_path
from cmdstanpy import cmdstan_path, set_cmdstan_path
set_cmdstan_path(os.path.join('path','to','cmdstan'))
cmdstan_path()


when implementing the DC offset circuit, the voltage is shifted by 2.5 volt, this is when we use the (YHDC SCT-013-000) current sensor:
and this is what I get when I send the data through the serial port and the offset circuit is working and everything is fine
I ran another experiment from the function generator that generates a sinewave, and I expected to get the same sine wave (shifted by the DC offset circuit ) as the sensor but that didn't happen and I got the signal trimmed (the offset circuit didn't work )
what is the difference between this sensor and the function generator ? aren't they both just produce an AC signal ? and the offset circuit is suppose to act on both of them ?
what if I want to use another sensor that produces negative values ? will I be able to use this offset circuit ?
Re: why is the DC offset circuit working with the current sensor (YHDC SCT-013-000) but not with the function generator!
what is the difference between this sensor and the function generator ? aren't they both just produce an AC signal ?
One possible difference is isolation. The CT will be a totally isolated AC signal. Is there any chance there's a DC path between your signal generator and your Arduino GND? It may even be via a safety earth. Put a DC voltmeter on your mid-point and see how it reads with and without the signal generator connected. Also what R value are you using for R1 and R2?
I assume the Y-axis isn't actually "Volts" bur rather A/D readings? If you have managed to ground your mid-point, then you probably are inflicting the negative half of that swing on your Arduino input, which is not good for it.
Re: why is the DC offset circuit working with the current sensor (YHDC SCT-013-000) but not with the function generator!
all out of a sudden it decided to work for some minutes and then stop working again ?
this is strange and driving me crazy!
the voltage is 2.4 V
yeah that is correct, its the analog readings not the voltage !
Re: why is the DC offset circuit working with the current sensor (YHDC SCT-013-000) but not with the function generator!
My bet is as dBC says, your signal generator output must be floating, that is, it must have no connection to the 0 V (GND) rail of the Arduino (and that could be via mains earth, your laptop power supply, the USB cable and the programmer!).
You broke that connection and then it suddenly started working.
If your signal generator is capable of generating the 1 V or thereabouts alternating voltage on top of 2.5 V dc (that is, it generates exactly the waveform in the illustration from Building Blocks that you copied), then it will work properly when you connect to signal generator between the GND and input pins.


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Film: The story of heroic abolitionist Harriet Tubman is told on the big screen
by Damon SmithTHE biggest surprise about writer-director Kasi Lemmons' biopic of crusading abolitionist Harriet Tubman is that it has taken Hollywood so long to immortalise the 19th century African-American trailblazer.
Born into slavery in Maryland as Araminta Ross, Tubman wriggled free from the clutches of her masters and became a conductor on a secret network of safe houses known as the Underground Railroad.
She personally shepherded fellow slaves across the border to safety, served as a spy for the Union Army and remains one of the only women to lead an armed expedition on American soil.
Scripted by Lemmons and co-writer Gregory Allen Howard, Harriet romanticises the lead character on a pristine surface level, relying on a barnstorming lead performance from London-born Cynthia Erivo to atone for a sinful lack of character development.
The film's most intriguing, psychologically complex relationship, between Harriet and her owner's son, evades deep and satisfying consideration.
Meanwhile, supporting players are reduced to historical footnotes, portrayed vividly by an esteemed ensemble cast including Tony Award-winning Hamilton star Leslie Odom Jr, Janelle Monae and Clarke Peters.
By contrast, composer Terence Blanchard's score is bombastic overkill.
In 1849 Dorchester County, Araminta Ross (Erivo) and most of her family are slaves owned by Edward Brodess (Mike Marunde), who coldly refuses to acknowledge the clan's claim to freedom.
Minty's husband John Tubman (Zackary Momoh) and father Ben (Peters), both free men, are powerless to intervene.
"You, your momma, your brothers and your sisters belong to me for life," Brodess snarls at a distraught Araminta, who suffers regular fainting fits, which she contends are prescient visions from God.
Minty prays aloud for Brodess to pay dearly for his heartless transgression and, on cue, he dies.
Widow Eliza Brodess (Jennifer Nettles) and venomous son Gideon (Joe Alwyn) assume control of the plantation.
They advertise troublemaker Minty for sale.
In response, she escapes with the help of Reverend Green (Vondie Curtis-Hall) and finds her way to fervent abolitionist William Still (Odom Jr) in Philadelphia, where she assumes the name Harriet Tubman.
"By some miraculous means, you have made it 100 miles to freedom!" he gushes in awe.
Landlady Marie Buchanon (Monae) offers Harriet safe sanctuary but a life of freedom without loved ones weighs heavily on the escapee.
She defies William's stern advice and returns to Maryland to liberate family and neighbours until the "monster called slavery is dead".
Harriet is a worthy but formulaic history lesson energised by an emotionally raw performance from Erivo.
She delivers the script's sermons - "God don't mean people to own people!" - with the sincerity and fury they deserve.
Tears course down her cheeks more readily than ours.
Rating: 6/10
HARRIET (12A, 126 mins) Drama/Romance. Cynthia Erivo, Leslie Odom Jr, Janelle Monae, Joe Alwyn, Jennifer Nettles, Zackary Momoh, Clarke Peters, Vondie Curtis-Hall, Mike Marunde. Director: Kasi Lemmons.
Released: November 22


Explore the different species of the galaxy thought up by talented
imaginations throughout the community.
Explore the different species of the galaxy thought up by
talented imaginations throughout the community.


The poopup with list of possible already submitted requests/bug reports covers up the input field with no visible way to close it, therefore in order to be able submit anything the subject must be typed in last, then hit several times tab button to switch to the submit button (blindly, I must add, because it also covered by the popup)My Browser is:
My Browser Version is:
My BBLog Addon Version is:
Topicstarter
Guest
Off topic, yet this tracker related: we don't really need receive emails when we commented on our submissions (or second comment on the same submission), especially that email doesn't contain the content of new message, just a link to the message...to be clear, when I hit submit button, I'll receive an email telling me that someone (which is me) posted a comment on this topic.
Would be nice have this fixed...just little annoying, that's all.
Thanks.

I will fix those 2 bugs soon.
Greetz
BrainFooLong
Administrator
PS: You are the only that comment and request so much at this page :-)
Most other people send 1 request and thats it, thats the reason why no one else send me this bug.
Thanks for your activity.


Note: this is a long article because this is a complex topic. Assembling and managing remote teams is largely like assembling and managing local teams, but there are a few differences. Further, though hiring is pretty much the same, since most people have little formal background in how to conduct a proper hiring process, I go in-depth in how to do this in a solid fashion which will gain you the best employees. This will largely be explained via our process of consulting, but it's appropriate for internal use, too.
I was living in Paris a few years ago and I was contacted by an old friend living in Brighton, England. Despite exhaustive searching, his company couldn't find any local developers experienced with Perl, nor could they find any developers both willing to learn Perl and work on their old, creaky codebase. After a bit of discussion, it was pretty clear what the issues were and what needed to be done to fix them. I've done this enough that I'm practically genetically engineered for this role and I was contacted because of my deep experience in this area. So when I received the news that they hired a junior programmer with no Perl experience and who failed their language-agnostic programming test, I was a bit surprised. He did, however, have a key qualification I lacked.
He was willing to sit in a chair in their offices for eight hours a day. I was telecommuting. Oh, and he was probably cheaper.
The situation went about as well as you would suspect and my friend eventually left the company when it was clear things weren't getting better. Apparently their junior developer couldn't redesign a decades-old codebase in a language he didn't know.
So why would a company make such a silly mistake? Fear. Developers often want to rewrite instead of refactor simply because they don't know how to rebuild a large code base. Similarly, management often says "no" to remote teams because they don't know how to manage one.
And I get it. Managing a remote team requires a subtly different skillset than managing a local team, especially for managing communication. However, once you learn how to build and manage a remote team, you have your pick of of some of the best talent on the planet. Think about having a team of top experts at your fingertips to build real value for your company. This is the real strength of remote teams and this is how you manage them.
You can have the greatest management skills on the planet, but if you have an awful team, you're going to struggle.
Hiring well is the most important thing a company can do.
Every bad hire is flushing money down the toilet. Every bad hire takes the place of the person you really wanted. Every bad hire distracts other employees as they have to pick up the slack. Every bad hire tells other employees "management doesn't understand."
And so it's worth repeating: hiring well is the most important thing a company can do.
That said, we have to identify what you're looking for. What you want in a remote team is what you want in a local team: a team that can respond to your needs and cares about success. In fact, most of what I say here will apply to local teams. Our consulting firm, All Around the World , has a complete hiring process that focuses on both hard (technical) and soft (interpersonal) skills.
Our hiring process is in three phases:
Many would-be employees get upset that HR departments often use software to filter based on keywords and phrases, but after years of hiring, sometimes in recruiting for other companies, I understand why HR firms do that. We don't use such software, instead choosing to hand-review every CV. But honestly, CVs are often worthless. First, many people lie on their CVs . In fact, as I've seen on a number of reports, this number appears to be increasing in the past few years. Other CVs are terribly dull, but have great minds behind them.
Thus, many experienced HR people will tell you: just use the CV to screen out the obviously unqualified. You need someone with a Java+Hibernate background? Ignore CVs that don't have Java on them. You can probably ignore CVs that don't have Hibernate on them. Make sure your CV lists the core hard skills you really need and if that's not on the CV, ignore it. It's amazing how many CVs we filter this way.
Also looks for duration of their experience. If you need top talent, don't go with someone who used your core technology on a three-month side project.
And because CVs are almost useless, that's pretty much all I have to say.
After we filter the CVs, we then offer candidates a chance to take our
technical test. A technical test must not be Trivial Pursuit! Yes, I happen to
know what the $"
and $^V
variables are for in Perl.
I can never remember what the $<
or $>
variables are for. That's OK, because if trivia is what you're asking about,
you'll get trivial employees. Instead, you're looking for people who can think
clearly about your problem domain. For example, when we're hiring backend
software developers, our technical test is a small program we ask them to
write, using a CSV file we provide. It might look roughly like this:
Write web-based software that allows someone to upload the included CSV file and saves the data into an SQLite database. Assume more CSV files in a similar format will be uploaded later. Create reports that show ...
There are a few other things, but we give the candidates a week to complete the test and send us the results. To make sure the test is fair, I take it myself. The above version of the test took me about two hours to complete the first draft. Again, candidates get a week to do this and we don't send them the test until they say they have the time to complete it.
And here's our secret sauce: we tell the candidate that they should return something they consider "production ready", but we don't tell them what "production ready" means. Thus, instead of writing to meet our needs, they tend to show us what they think "production ready" means.
For us, we're looking for well-structured code, with tests and documentation. We're looking for a properly normalized database . We're going to see if you noticed the data quality issues in the CSV file. We're going to see if your code is vulnerable to injection attacks. We're going to see if you've used appropriate modules. In short, we check many things. and we use a checklist to track our findings. We usually won't fail you for missing just a couple of items, but very few developers pass this test.
And in return? The developers get a full code review, including references of where they can read more information about those areas on which they were weak. I've been amazed at how many developers we turn down who thank us for that code review. Many of them have never had one before!
The final part of our individual hiring process is the structured interview. Very few people make it this far and this is the part where most hiring processes break down. Most interviews are worthless. From the article:
Countless studies show that the unstructured 30-minute interview is virtually worthless as a predictor of long-term performance by any criteria that have been examined. You have only slightly more chance of choosing the better of two employees after a half-hour interview as you would by flipping a coin.
You may as well just chuck half your CVs in the bin and say "I don't hire unlucky people."
The alternative is the structured interview. Here's a choice quote from a meta-analsis of 200 articles and books spanning 80 years :
In the 80-year history of published research on employment interviewing (dating back to Scott, 1915), few conclusions have been more widely supported than the idea that structuring the interview enhances reliability and validity.
The analysis is quite in-depth, but it becomes clear that we go from the unstructured interview—well-proven to be almost worthless—to the structured interview—a powerful hiring tool that does an excellent job of helping you select the candidates who will actually be a great fit.
They actually take a fair amount of time and effort to create, conduct, and evaluate, but here's the short version.
First, the interview is primarily about assessing soft skills which are harder to teach, though we do throw in some technical questions to cover potential gaps in the technical test, based on particular client needs. So you take stock of what you really need for a candidate to succeed. Our company, All Around The World starts by interviewing the client to find out their work environment. Are there tight deadlines? Do you need to work directly with customers? Do you have to communicate with non-technical stakeholders? Have you worked with remote developers before? And so on ...
From there, we assemble a list of open-ended questions that help us to better understand how the candidate's background fits. For example, in a fast-paced environment, the candidate might find themselves dealing with tight deadlines, so we might ask a question like "tell us about a time when you had a tight deadline and you were concerned you might not be able to deliver on time." And then you apply STARR.
By asking every candidate the same question in the same order, and ensuring you have covered all of the points of STARR for every question (and taking careful notes the entire time!), we get a thorough and relatively unbiased view of the candidate's abilities in relation to the client's needs.
You want to have at least two interviewers for every candidate and immediately after you're done with the interview, you score the candidate (we use 1 to 5) for how well they meet the client's needs for each question. And then you just add up the points. It works amazing well and produces stellar candidates.
A few points about structured interviews are worth noting. First, they're not often used simply because most people have never heard of them. Second, as previously mentioned, they're a time-consuming hiring process, but it's worth taking more time up front to avoid getting a "dud" employee. Third, candidates sometimes find it stressful to have you drilling into each question in such extreme detail, so be aware of that.
Please note that throughout the entire hiring process, you're looking for people with good people skills. A destructive personality wrecks teams. I don't care how good they are, if they're a jerk, they ruin things for everyone. They need to communicate easily, be friendly, challenge without arguing, and generally be pleasant to be around. Don't hire toxic employees.
Now that you know how we hire individuals, how do you create a remote team? This is where really knowing what needs to be done shines. You need people with different, but complementary skills. Some people might be brilliant at front-end while others are brilliant at backend. You might have someone who can see all possible complications and design a system which can handle all of them, but have another person who's good at simplifying designs and applying the "YAGNI" (You Aren't Gonna Need It) principle ruthlessly. Another person might be very skilled at building tools which just make life easier for other developers (we like a devops person embedded in the teams directly). By having a wide variety of skills, you get more well-rounded solutions and higher quality work.
These are people who can put their ego aside and have the willingness to work together to provide the best solution. And because they have diverse skill sets, they learn to trust one another when someone else is addressing an area of their expertise.
Important: creating a team with diverse skills is even more important for a remote team. Just because you client says they have a DBA or a DevOps engineer doesn't mean those people will have time for a new team. They have other things to do and they may not prioritize you as much as the friends they work with and know.
The absolute number one obstacle (and objection) to remote teams is communication. Sometimes that quick email someone dashed off misses key details about a particular task that needs to be done. Sometimes the employee gets finished waiting on a task and is asking around for work to do (but see my "Project Management in Three Numbers" article for a great way to work around that). And you can't just pop your head over the cubicle wall and say "hey, Sally, where in the code do we handle authorization?". So your role as a remote manager is to ensure that everyone always has the information they need.
This need for extra communication and working very hard on this communication seems challenging, but we've found that this makes our teams often more effective than local teams because sometimes local teams make assumptions about how things are, when our team can't afford to do that.
One of the beautiful things about remote work is that you skip the office chatter, the constant interruptions, the need to beg IT services to let you use a different editor, and so on. I often work with my terminal fullscreen so I can engage in deep work on heavily demanding tasks. But when I need to talk to someone about something, I need to have quick and easy to use communication channels. And email isn't one of them.
The tools you'll adopt will be different depending on your needs, but IRC, Slack, Zoom, Google Hangouts, and other tools will all be part of that arsenal. Whatever you do, ensure that you have at least one visual means of communication (but don't forget accessibility requirements your team members may have). It's great to ask a quick question on Slack about which hashing algorithm you should use, but nothing beats a quick Google Hangout session for quickly discussing complicated topics.
Agile fans like the term servant leader because it makes it clear that management is there to support the team getting things done. Managing remote teams reinforces this. When your team needs you, they need you. Yes, you're setting goals, providing direction, and often serve as the voice of the business, but when Oliver says "I can't get QA to test my branch," then you follow up and make it happen because Oliver's job isn't fighting with QA. When the team says there's a problem, your job is to clearly identify what's wrong and get it sorted. This is much like the ScrumMaster role of removing any and all blocks for your team.
Sometimes management can seem distant or not paying attention—they often are juggling multiple things at once and this can be distracting. Managing remote teams cannot be like this. Especially when you have your daily "stand up" (scare quote explained later), you must be focused and care what your team is doing.
One issue I've seen about remote teams is that they have a particular sensitivity to office politics. This may seem counter-intuitive because your team members aren't standing around the office coffee machine, complaining that Martin isn't doing his job; they're working. The problem is that they're often anonymous to other teams. You need to build bridges to the other teams and bridges aren't supported at only one end.
When different groups have different priorities and there are limited resources (as there always are), it's very easy for local teams to have the "we were here first" attitude. Or maybe your remote team needs a new database provisioned, but the people responsible for it don't know who you are and, more importantly, have other things they need to do.
Your job is to fix this, but it's a delicate task. Yes, you can often go to senior management and say the work you've contracted to do is stalled because other teams aren't cooperating. And, especially if you're on a critical project, senior management will sometimes respond by stepping on the foreheads of those who aren't helping you.
This exchanges a short-term problem for a long-term one.
Senior management doesn't want to step in every time you're struggling and this can leave the impression that you can't solve things for yourself. As anonymity is a classic driver of politics—you're not human to them until you meet them—fix that and other problems will be much easier.
Get to know the other teams and managers, paying special attention to those you'll be working with. When you have stand-ups, invite representatives of other teams to your Zoom meeting. If they have remote meetings, offer to be present, explaining you'd like to learn more, or offer help if need be. When they need your support, give it to them, too. Are they struggling to figure out why their PostgreSQL database is running slowly and you happen to have a PostgreSQL guru on hand? Offer that support if you can. People don't want to help if they view it as a one-way street.
 Helping one another and making sure everyone knows one another helps to minimize politics quite a bit. But they'll still be there. No matter how important your work, the work you're not doing is important too. Some other manager might think you're the greatest thing since sliced bread, but she has a tight deadline and no, the bug your team identified won't get fixed by the next release.
That's a realistic position, but it gets called "politics." When you let your team know the bug can't be fixed right now, you're supportive of your team, but of your client, too. If the team insists on the full story, tell them the truth, but tell it from the standpoint of the manager who denied the request. "She would love to help, but she doesn't have the resources to fix this before the next release."
By doing this, you show support for everyone. You're like Tom Hanks as Captain John H. Miller in "Saving Private Ryan": you don't grumble or complain. You support. You build bridges to others and you shield your team from the mess. They will learn to trust you, they'll reserve their complaints for critical issues, and they'll have fewer distractions from their work.
This is one of the hardest skills to develop, but it goes a long way to ensuring you have a great team. Often your team will say things like "we tried to extract the data but we can't because the API appears to be inconsistent." If your answer is "I'll find out immediately what's going on", that's great, but it means your team is blocked until you come back with more information.
A better answer is to realize they're dealing with an external resource and find out who's an expert you can call on right away. Then your answer is "Damien knows the best about that system and he can provide you with documentation and answer your questions."
Curiously, non-technical managers are sometimes better at this. A technical manager might have some experience configuring SNMP for Cisco routers and in a meeting, might not realize that SNMPv2 is insecure and SNMPv3 is more secure. The manager may not know anything about the NETCONF alternative and be unaware that the suggested polling solution doesn't scale with SNMP.
Thus, a technical manager might gloss over details, thinking they understand (this is not a given, of course), while the experienced non-technical manager learns to swallow their pride and ask why there's a mixture of SNMPv2, SNMPv3, and NETCONF solutions being used. Your job is to listen and listen hard and if you must leave a meeting with unanswered questions, you have a list of them and will immediately start tracking them down. Don't make assumptions that "they'll figure this out" because as a manager, your job is to ensure that you have the answers and the information flows freely.
This also means not shying away from the pain of a late-night session reading through documentation and checking it against your notes to ensure that you haven't made bad assumptions. You're not providing solutions, your team is, but you are there to guide them and you can't if you're not able to address their questions immediately.
Remember: one of the greatest obstacles facing remote teams is the communication flow.
The daily stand-up is our biggest change from traditional management techniques, particularly agile ones.
The name "stand-up" comes from the idea that if you're all standing up and some team members are starting to lean, the conversation has gone on too long. Thus, stand-ups are often time-boxed to 15 minutes. This does not work as well with remote teams.
The idea of a standup is to have every team member answer three short questions:
We've found that the 15 minute time-box doesn't work as well with our "complete communication" style. The reason is simple. When everyone's in the same room and someone's explaining a technical problem at length, you often hear the ScrumMaster say "let's take that offline" because it's disrupting the flow of the meeting. Except with remote teams, there's no "offline." You can't turn to the person next to you and say "hey, let's talk about that problem I had." Even if you do, you're not fully sharing the information because not everyone hears about it.
And if someone identifies a blocker, you address it in the
stand-up, you don't "take it offline." Everyone on your team needs to
know you're there for them if they're waiting on a code review, if they can't
figure out what MyCompany::Catalyst::Role::RewritePaths
does, or
they have a test failure they can't figure out. Ask for solutions, discuss the
issue, have someone volunteer to look at their code. And if you must, assign
someone to review their pull request. Someone might grumble that they're being
taken away for a code review, but they know their code will be reviewed in a
timely fashion too.
We've found that our stand-ups tend to run about 45 minutes to an hour. Every day. That takes more time, but when you have a good team, they absorb more information. Even if they don't remember all of the details about why you changed your connection pooling software, when it's discussed more in-depth, they're more likely to remember that it was done and know who to talk to when they encounter difficulties with it.
We also use stand-ups as a time for chatting and socializing. This is not the norm, but it's easy to feel isolated when working remotely and this gives the team a chance to bond, to share stories, and laugh. All work and no play ... well, you know the rest. Being part of a team of friends, and not just co-workers, is important. When I go to conferences, our employees and contractors are often there and we take them out to dinner and share war stories. It's great to build loyalty, but more importantly, it's the right thing to do.
Note that this suggests a change in your hiring strategy. If candidates on your Google Hangout are getting fidgety towards the end of a long interview, that might be a warning sign (or maybe they have another appointment). If you mention your stand-up approach to candidates and they immediately react with "stand-ups should not last more than fifteen minutes", that's another warning sign that agile has become dogma to them rather than a set of guidelines. You're looking for candidates who are willing to communicate well. That means both being able to explain themselves clearly and to listen attentively.
Just taking a work specification and working through the bullet points is a common recipe for disaster for remote teams. Instead, you have to build value; the software just comes with the territory.
When we're brought in to a company to help with an issue and have hired our team, we work hard to understand the business of the company and the problem they're facing. And then there are other concerns which might impact our solution. Do we have to address PCI-compliance? Is the company impacted by GDPR? Does the company have restrictions on the types of software they allow? And what's the full stack they have available and are we allowed to offer alternatives, if necessary? Building a real-time reporting system with heavy writes using a MySQL database using MyISAM tables requires a substantially different architecture than Oracle 12c.
Once we have that information and can share it with the team, the hard work begins.
As I've written before, the later in a project that a bug is found, the more expensive it is to fix. It's easy to fix a leaky sink; it's disastrous to realize your foundation can't support the weight of your house.
So we start with a careful evaluation of the problem, the kinds of data we're working with, and the resources we have at our disposal. Then we discuss possible solutions to the problem, with the entire team and their diverse skills contributing in their various areas of expertise. If possible, it's great to have a senior person from the company on hand who has deep experience with the codebase and company and can offer invaluable advice in driving the architecture.
If the problem is small, this might be a short meeting. If it's large, this might be a series of meetings. Regardless of the approach, the client must be able to review the architecture and offer appropriate feedback before signing off.
After hiring well, a strong architecture and review is the best thing you can do to reduce bugs and control costs.
Note that unlike code reviews, architecture reviews happen before implementation.
After the architecture is approved, the implementation begins. How the work is organized depends on your management style, though I confess that I'm a fan of WildAgile and the three-number business case. Once a team member has a task, they might discuss it briefly to clarify the requirements, and when they're done working on it, they submit it for a code review.
After hiring and architecture, this is the third most important thing in assuring code quality. Even if your code works perfectly and your tests are passing, tests are not enough. Tests generally don't know when a public method should be private. Tests often can't point out that you forgot to test edge cases or that you missed a race condition. And tests certainly can't tell you that your technically correct code and documentation is nonetheless incomprehensible.
Thus, code reviews. When we do code reviews, we're checking that the code is correct, that it's understandable, that it's documented and that it has appropriate tests. More than half of all of our pull requests are sent back for more work, but that's normal for a team that is heavily focused on quality. The larger the pull request, the more likely it is to have some issues.
The combination of a thorough understanding of the problem domain, careful work on architecture, and deep code reviews means that when issues do arise in the software, or a change of requirements occurs, there are seldom systemic issues. This reduces the up-front cost of development and tremendously reduces maintenance costs.
When working remotely, it's essential that the people you are working with share the same values. We work hard to find people who excel, are proud of their work, but can put aside their ego and focus on the client's needs.
For us, the value is to be able to help, to take the client to another level. We are putting our talent at the service of the client to support their growth. We are not there for billable hours. We are there for delivering; for supporting.
Whether you choose us or choose to develop your own remote team, following these guidelines will give you a superb team that can do things with software you never had the chance to do before.
Please leave a comment below!
If you'd like top-notch consulting or training, email me and let's discuss how I can help you. Read my hire me page to learn more about my background.
Copyright © 2018-2023 by Curtis “Ovid” Poe.
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2001
December, 2001
The Ladies Auxiliary (Ballantine Reader's Circle)
Tova Mirvis
November, 2001
Once Were Warriors
Alan Duff
October, 2001
The Professor and the Madman: A Tale of Murder, Insanity, and the Making of The Oxford English Dictionary
Simon Winchester
September, 2001
Before Women Had Wings
Connie May Fowler
August, 2001
Girl in Hyacinth Blue
Susan Vreeland
July, 2001
The White Bone: A Novel
Barbara Gowdy
June, 2001
On Parole
Akira Yoshimura
May, 2001
Waiting
Ha Jin
April, 2001
The Seventh Moon
Marius Gabriel
March, 2001
Florida Roadkill
Tim Dorsey
February, 2001
Motherless Brooklyn
Jonathan Lethem
January, 2001
The Human Stain: American Trilogy (3)
Philip Roth


| 024:047 Khan | : |
They (hypocrites) say: "We have believed in Allah and in the Messenger (Muhammad SAW), and we obey," then a party of them turn away thereafter, such are not believers. |
| 024:047 Maulana | : |
And they say: We believe in Allah and in the Messenger and we obey; then a party of them turn away after this, and they are not believers. |
| 024:047 Pickthal | : |
And they say: We believe in Allah and the messenger, and we obey; then after that a faction of them turn away. Such are not believers. |
| 024:047 Rashad | : |
They say, "We believe in GOD and in the messenger, and we obey," but then some of them slide back afterwards. These are not believers. |
| 024:047 Sarwar | : |
They say, "We have believed in God and the Messenger and we have obeyed them." Then a group of them turn away from their (belief). They are not believers. |
| 024:047 Shakir | : |
And they say: We believe in Allah and in the messenger and we obey; then a party of them turn back after this, and these are not believers. |
| 024:047 Sherali | : |
And they say, 'We believe in ALLAH and in the Messenger, and we obey;' then after that some of them turn away. Such are not believers at all. |
| 024:047 Yusufali | : |
They say, "We believe in Allah and in the messenger, and we obey": but even after that, some of them turn away: they are not (really) Believers. |
Concepts/Themes Covered: الإيمان > الإيمان بالله > النفاق Faith> Belief In Allah> Hypocrisy
This tool uses eight English parallel translations for the Holy Quran imported from Mr. Clay Smith. You can also visit Qurany Concepts for browsing the Quran themes or topics. If you want to search the Holy Quran for keywords, please visit Qurany Keywords.


Bases: nova.test.TestCase
Bases: nova.test.TestCase
Allocate one port in one network env.
Allocate one port in two networks env.
verify we will delete created ports if we fail to allocate all net resources.
Mox to raise exception when creating a second port. In this case, the code should delete the first created port.
verify we have no port to delete if we fail to allocate the first net resource.
Mox to raise exception when creating the first port. In this case, the code should not delete any ports.
Test to deallocate in one port env.
Test to deallocate in two ports env.
Test to get one port in one network and subnet.
Test to get one port in each of two networks and subnets.
Test get instance_nw_info with networks passed in.
Test get instance_nw_info for a port without subnet.