 The acl
relation
contrasts with the advcl relation, which is used for adverbial clauses
that modify a predicate. The head of the acl
relation is the noun
that is modified, and the dependent is the head of the clause that
modifies the noun.
мужчина , о котором я говорил \n man , about whom I have-talked
acl(мужчина, говорил)
acl(man, have-talked)
This relation is also used for optional depictives. The adjective is taken to modify the nominal of which it provides a secondary predication. See u-dep/xcomp for further discussion of resultatives and depictives.
Алена вошла в комнату незамеченной . \n Alena entered to room unnoticed .
acl(Алена, незамеченной)
acl(Alena, unnoticed)
Он нарисовал свою жену обнаженной . \n He painted his wife naked .
acl(жену, обнаженной)
acl(wife, naked)
acl:relcl
: relative clause modifier
The acl:relcl
relation is used for relative clauses modifying
a nominal. The relation points from the head of the nominal to the
head of the relative clause.
Я увидела мужчину , который любит тебя \n I saw the man who loves you
acl:relcl(мужчину, любит)
acl:relcl(man, loves)
nsubj(любит, который)
nsubj(loves, who)
obj(любит, тебя)
obj(loves, you)
Я увидел мужчину , которого ты любишь \n I saw the man who you love
acl:relcl(мужчину, любишь)
acl:relcl(man, love)
nsubj(любишь, ты)
nsubj(love, you)
obj(любишь, которого)
obj(love, who)
advcl
: adverbial clause modifier
An adverbial clause modifier is a clause which modifies a verb or other predicate (adjective, etc.), as a modifier not as a core complement. This includes things such as a temporal clause, consequence, conditional clause, purpose clause, etc. The dependent must be clausal (or else it is an advmod) and the dependent is the main predicate of the clause.
Если вы знаете , кто это сделал , вы должны сказать учителю . \n If you know , who this did , you have to-tell the-teacher .
advcl(должны, знаете)
advcl(have, know)
Он спешил , чтобы прийти вовремя . \n He rushed , in-order-to come in-time .
advcl(спешил, прийти)
advcl(rushed, come)
advmod
: adverbial modifier
An adverbial modifier of a word is a (non-clausal) adverb or adverbial phrase that serves to modify the meaning of the word.
We differentiate adverbials realized as adverbs (advmod
) and
adverbials realized by noun phrases or adpositional phrases
(nmod).
генетически модифицированная еда \n genetically modified food
advmod(модифицированная, генетически)
advmod(modified, genetically)
менее часто \n less often
advmod(часто, менее)
advmod(often, less)
amod
: adjectival modifier
An adjectival modifier of an NP is any adjectival phrase that serves to modify the meaning of the NP.
Василий ест куриную лапшу . \n Vasily eats chicken noodles .
amod(лапшу, куриную)
amod(noodles, chicken)
Первое впечатление было хорошим . \n First impression was positive .
amod(впечатление, Первое)
amod(impression, First)
nsubj(хорошим, впечатление)
nsubj(positive, impression)
Some pronominal modifiers are also considered as amod
Exception: if the modifying adjectival word is article-equivalent (i.e. tagged ru-pos/DET), the relation is det instead of amod
.
эти ваши новые группы \n these your new groups
amod(группы, новые)
amod(groups, new)
amod(группы, ваши)
amod(groups, your)
det(группы, эти)
det(groups, these)
appos
: appositional modifier
An appositional modifier of a noun is a nominal immediately following the first noun that serves to define or modify that noun. It includes parenthesized examples, as well as defining abbreviations in one of these structures.
Карл Четвертый , римский император и чешский король , царствовал в XIV веке . \n Charles IV , Roman Emperor and Czech king , ruled in 14th century .
appos(Карл, император)
appos(Charles, Emperor)
conj(император, король)
conj(Emperor, king)
Польская Социалистическая Партия ( ПСП ) \n Polish Socialist Party ( PSP )
appos(Партия, ПСП)
appos(Party, PSP)
There is a slight deviation from the universal standard in case of more than one appositive nominal.
Instead of attaching them all to the first noun, all the appositive modifiers are put together in coordination,
then attached as appos
to the modified noun.
This is done regardless whether the appositives are joined by a coordinating conjunction or just a comma.
Пришел Михаил , мой брат и кузен Давида . \n Came Mikhail , my brother and cousin of-David .
appos(Михаил, брат)
appos(Mikhail, brother)
conj(брат, кузен)
conj(brother, cousin)
Михаил , мой брат , кузен Давида , придет завтра . \n Mikhail , my brother , cousin of-David , will-come tomorrow .
appos(Михаил, брат)
appos(Mikhail, brother)
conj(брат, кузен)
conj(brother, cousin)
appos
is also used to link key-value pairs in addresses, signatures, etc. (see also the list label):
Иван Петров , тел . : 8(495)-000-11-22 , e-mail<EMAIL_ADDRESS>name(Иван, Петров)
list(Иван, тел)
list(Иван, e-mail)
appos(тел, 8(495)-000-11-22-7)
appos(e-mail<EMAIL_ADDRESS>aux
: auxiliary
An auxiliary of a clause is a form of the auxiliary verb быть “to be” used to construct the periphrastic future tense or conditional.
Exception: Auxiliary verb used to construct the passive
voice is not labeled aux
but auxpass.
Note that besides aux
and auxpass
, the verb быть may also act as a copula
and as the main verb.
Завтра я буду выступать в университете . \n Tomorrow I will give-a-talk at the-university .
aux(выступать, буду)
aux(give-a-talk, will)
Если бы я пришел раньше , я бы не пропустил поезд . \n If had I come earlier , I would not have-missed the-train .
aux(пришел, бы-2)
aux(come, had)
aux(пропустил, бы-8)
aux(have-missed, would)
aux:pass
: passive auxiliary
A passive auxiliary of a clause is a form of the auxiliary verb быть “to be” used to construct the periphrastic passive voice (in the past or future tense, in the infinitive, imperative or conditional mood).
Кеннеди был убит . \n Kennedy was killed .
aux:pass(убит, был)
aux:pass(killed, was)
Кеннеди будет убит . \n Kennedy will-be killed .
aux:pass(убит, будет)
aux:pass(killed, will-be)
Кеннеди не знал , что ему суждено быть убитым . \n Kennedy did-not-anticipate that his fate is to-be killed .
aux:pass(убитым, быть)
aux:pass(killed, to-be)
case
: case marking
Russian uses a combination of oblique morphological cases and prepositions to express semantic case.
Prepositions in UD are treated as dependents of the noun they attach to. The relation between the noun and the preposition is labeled case
.
В пятницу.Acc по дороге.Dat к деревне.Dat мы разговаривали o событии.Loc . \n On Friday during the-journey to the-village we talked about the-event .
case(пятницу.Acc, В)
case(Friday, On)
case(дороге.Dat, по)
case(the-journey, during)
case(деревне.Dat, к)
case(the-village, to)
case(событии.Loc, o)
case(the-event, about)
cc
: coordinating conjunction
For more on coordination, see the conj relation.
A cc
is the relation between the first conjunct and
the coordinating conjunction delimiting another conjunct.
(Note: different dependency grammars have different treatments of coordination.
We take the first conjunct as the head of the coordination.)
Он старый и мудрый мужчина. \n He-is old and wise man .
cc(старый, и)
cc(old, and)
A coordinating conjunction may also appear at the beginning of a
sentence. This is also called a cc
, and it depends on the root
predicate of the sentence.
(In fact there is a coordination that spans multiple sentences.
We cannot attach a word to the first conjunct because it is in another sentence.
Thus we attach it to the first conjunct available in the current sentence: its main predicate.)
И потом мы ушли . \n And then we left .
cc(ушли, И)
cc(left, And)
У нас есть яблоки , груши , апельсины и бананы . \n By us are apples , pears , oranges and bananas .
nsubj(есть, яблоки)
nsubj(are, apples)
conj(яблоки, груши)
conj(яблоки, апельсины)
conj(яблоки, бананы)
conj(apples, pears)
conj(apples, oranges)
conj(apples, bananas)
cc(яблоки, и)
cc(apples, and)
punct(яблоки, ,-5)
punct(яблоки, ,-7)
punct(apples, ,-17)
punct(apples, ,-19)
cc:preconj
: cc:preconj
NOTE: This relation is not in use in UD 2.0+. The universal relation cc is used instead since all cc’s are now attached to the next conjunct to the right.
A preconjunct is the relation between the head of an NP and a word that appears at the beginning bracketing a conjunction (and puts emphasis on it), such as either, both, neither, and, but).
Но никто не знал ответ . \n But no-one knew the answer .
cc:preconj(никто, Но)
cc:preconj(no-one, But)
ccomp
: clausal complement
A clausal complement of a verb or adjective is a dependent clause which is a core argument. That is, it functions like an object of the verb, or adjective.
Он говорит , что она работает в музее . \n He says , that she works in a museum .
ccomp(говорит, работает)
ccomp(says, works)
Such clausal complements may be finite or nonfinite. However, if the subject of the clausal complement is controlled (that is, must be the same as the higher subject or object, with no other possible interpretation) the appropriate relation is xcomp.
Генерал приказал нам выйти . \n General ordered us to-leave .
ccomp(приказал, выйти)
ccomp(ordered, to-leave)
Мы начали писать тест . \n We started to-write test .
xcomp(начали, писать)
xcomp(started, to-write)
The key difference here is that, while it is possible to interpret the first
sentence to mean that the general will not be leaving, in the second
sentence it is clear that the subject of writing can only be we. This is
what distinguishes ccomp
and xcomp
.
compound
: compound
compound
is one of the relations in UD for compounding.
The rightmost numeral is the head, the other numerals are attached as its modifiers.
Это будет стоить максимум 5 тысяч рублей . \n It will cost at-most 5 thousand rubles .
nummod:gov(рублей, тысяч)
nummod:gov(rubles, thousand)
compound(тысяч, 5-5)
compound(thousand, 5-14)
Это будет стоить пятьдесят пять тысяч рублей . \n It will cost fifty five thousand rubles .
nummod:gov(рублей, тысяч)
nummod:gov(rubles, thousand)
compound(тысяч, пятьдесят)
compound(thousand, fifty)
compound(тысяч, пять)
compound(thousand, five)
conj
: conjunct
A conjunct is the relation between two elements connected by a
coordinating conjunction, such as and, or, or a comma or other punctuation.
We treat coordination asymmetrically in what is known as the Stanford style:
The head of the relation is the first
conjunct and all the other conjuncts depend on it via the conj
relation.
Он старый и мудрый мужчина . \n He-is old and wise man .
conj(старый, мудрый)
conj(old, wise)
У нас есть яблоки , груши , апельсины и бананы . \n By us are apples , pears , oranges and bananas .
nsubj(есть, яблоки)
nsubj(are, apples)
conj(яблоки, груши)
conj(яблоки, апельсины)
conj(яблоки, бананы)
conj(apples, pears)
conj(apples, oranges)
conj(apples, bananas)
cc(яблоки, и)
cc(apples, and)
punct(яблоки, ,-5)
punct(яблоки, ,-7)
punct(apples, ,-17)
punct(apples, ,-19)
Coordinate clauses are treated the same way as coordination of other constituent types:
Он пришел домой , помылся и пошел в кровать . \n He came home , showered-himself and went to bed .
conj(пришел, помылся)
conj(пришел, пошел)
conj(came, showered-himself)
conj(came, went)
punct(пришел, ,-4)
punct(came, ,-15)
cc(пришел, и)
cc(came, and)
See universal/conj for more details on various coordination-related issues.
cop
: copula
A copula is the relation between the nominal predicate and
the copular verb быть “to be” (or its variants бывал, был).
The verb становиться “to become”, despite being counted among copular verbs by some authors,
is not analyzed as cop
.
We normally take a copula as a dependent of its complement (the nominal predicate). The nominal predicate is usually a noun, an adjective or a participle.
Андрей был честным человеком . \n Andrew was an honest man .
cop(человеком, был)
cop(man, was)
csubj
: clausal subject
A clausal subject is a clausal syntactic subject of a clause, i.e., the subject is itself a clause. The governor of this relation might not always be a verb: when the verb is a copular verb, the root of the clause is the complement of the copular verb. The dependent is the main lexical verb or other predicate of the subject clause.

Мне было сказано , чтобы я все хорошо взвесил . \n To-me it-has-been told , that I it-all very-well weighed-up .
csubj:pass(сказано, взвесил)
csubj:pass(told, weighed-up)
dep
: unspecified dependency
A dependency is labeled as dep
when a system is unable to
determine a more precise dependency relation between two words. This
may be because of a weird grammatical construction, a limitation in
software, a parser error, or
because of an unresolved long distance dependency.
А к чему – было не понятно . \n And for what – it-was not clear .
dep(понятно, чему)
dep(clear, what)
det
: determiner
The relation determiner (det
) holds between a nominal head and its determiner.
This relation is used for pronominal adjectival modifiers of noun phrases.
Non-pronominal adjectives are tagged ru-pos/ADJ and the relation is labeled amod.
Тот человек уже здесь . \n The man already is-here .
det(человек, Тот)
det(man, The)
Он такой человек . \n He is this-kind-of man .
det(человек, такой)
det(man, this-kind-of)
discourse
: discourse element
At present we use the discourse
relation for redundant or emotional items, redundant coreferential pronoun.
Ты же обещал ! \n You still promised !
discourse(обещал, же)
(meaning “… but you promised”)
dislocated
: dislocated elements
NOTE: The relation dislocated is not in use in Russian UD 2.0+
The dislocated
relation is used for fronted or postposed elements
that do not fulfill the usual core grammatical relations of a
sentence. Dislocated elements are attached to the same governor as the dependent that they double for.
Это наша комната, моя и Дашина
dislocated(комната, моя)
cc(моя, и)
conj(моя, Дашина)
expl
: expletive: reflexive pronoun with an inherently reflexive verb
The demonstrative particle eto can be used as an “extra” subject in the sentence, in this case all other sentence can be considered as the group of predicate. Cf. English construction with there-expletive.
Это мама звонит . \n This-is my-mother calls .
expl(звонит, Это)
expl(calls, This-is)
nsubj(звонит, мама)
nsubj(calls, my-mother)
fixed
: fixed multiword expression
The fixed relation is one of the three relations (compound, fixed, flat) for special kinds of multiword expressions. It is used for fixed grammaticized expressions that behave like function words or short adverbials. The first word is always taken as the head, with all subsequent words as direct dependents.In Russian it is used for multi-word prepositions.
В отличие от тебя , мне нечего стыдиться . \n In contrast to you , I-have nothing to-be-ashamed .
fixed(В, отличие)
fixed(В, от)
case(тебя, В)
fixed(In, contrast)
fixed(In, to)
case(you, In)
Multi-word prepositions usually form a contiguous span of the sentence. In exceptional cases however, they can be interrupted by emphasizers and other words:
в сравнении , например , с долгом \n in comparison , for-example , to loans
fixed(в, сравнении)
fixed(в, с)
case(долгом, в)
advmod:emph(долгом, например)
fixed(in, comparison)
fixed(in, to)
case(loans, in)
advmod:emph(loans, for-example)
flat
: flat
flat
is one of the relations for compounding in UD.
In Russian it is used to join the first name of a person with the patronymic and the last name.
The leftmost name is always the head and the other name(s) are attached to it.
The relation is not used to attach adjectives to nouns within multi-word names of places, organizations etc.
Президент Владимир Владимирович Путин вчера посетил Минеральные Воды . \n President Vladimir Vladimirovich Putin yesterday visited Mineralnye Vody .
flat(Владимир, Владимирович)
flat(Vladimir, Vladimirovich)
flat(Владимир, Путин)
flat(Vladimir, Putin)
nmod(Владимир, Президент)
nmod(Vladimir, President)
amod(Воды, Минеральные)
amod(Vody, Mineralnye)
Нью - Йорк \n New York
flat(Нью, Йорк)
flat(New, York)
goeswith
: goes with
This relation links two parts of a word that are separated in text that is not well edited. The head is in some sense the “main” part, often the second part.
Он остановился чтобы о тдышаться .
goeswith(тдышаться, о)
iobj
: indirect object
The indirect object of a verb is any nominal phrase that is a core argument of the verb but is not its subject or direct object. The prototypical example is the recipient of ditransitive verbs of exchange:
Павел дал Петру две груши . \n Pavel gave Peter two pears .
iobj(дал, Петру)
iobj(gave, Peter)
However, Russian allows other semantic roles as additional objects. The morphological ru-feat/Case of the objects is dictated by verb valency.
In the following Russian example, the verb takes two arguments. One of them is direct object (patient), the other is indirect (addressee). It is parallel to how the English translation would be annotated (where there is no morphological case marking) and also to verbs of giving (cf. a similar sentence, he gave my daughter a class of maths).
Он преподает моей дочери математику . \n He teaches my daughter.Dat maths.Acc .
obj(преподает, математику)
iobj(преподает, дочери)
obj(teaches, maths.Acc)
iobj(teaches, daughter.Dat)
In general, if there is just one object, it should be labeled obj, regardless of the morphological case or semantic role. For example, преподавать “to teach” can take either the subject matter or the recipient as the only object, and in both cases it would be analyzed as the obj:
Он преподает математику . \n He teaches maths .
obj(преподает, математику)
obj(teaches, maths)
Он преподает студентам . \n He teaches students .
obj(преподает, студентам)
obj(teaches, students)
The one exception is when there is a clausal complement. Then the clausal complement is regarded as a “clausal direct object” and an object nominal will be an iobj, parallel to the simple ditransitive case:
Она сказала студентам , что сегодня вечером нужно учиться . \n She told students , that today evening they-needed to-study .
iobj(сказала, студентам)
ccomp(сказала, нужно)
iobj(told, students)
ccomp(told, they-needed)
Она рассказала студентам свой план . \n She told students her plan .
iobj(рассказала, студентам)
obj(рассказала, план)
iobj(told, students)
obj(told, plan)
If there are two or more objects, one of them should be obj and the others should be iobj
. In such cases it is necessary to decide what is the most directly affected object (patient), and the Accusative ru-feat/Case has priority over the Dative, Instrumental, and Genitive cases.
list
: list
The list
relation is used for chains of comparable items.
In lists with more than two items, all items of the list should modify the first one.
Informal and web text often contains passages which are meant to be interpreted as lists but are parsed as single sentences.
Email signatures often contain these structures, in the form of contact information:
the different contact information items are labeled as list
; the key-value pair relations are labeled as appos.
However, list
should not be over-used. If a construction can be easily analyzed
using the grammatical relations of standard sentences, such as when there is overt coordination,
then it should be analyzed with these more standard relations, even if it is laid out as a list typographically.
Стив Джонс тел.: 555-9814 e-mail<EMAIL_ADDRESS>name(Стив-1, Джонс-2)
list(Стив-1, тел.:-3)
list(Стив-1, e-mail:-5)
appos(тел.:-3, 555-9814-4)
appos(e-mail:-5<EMAIL_ADDRESS>mark
: marker
A marker is the subordinating conjunction introducing a finite clause subordinate to another clause. The mark is a dependent of the subordinate clause head.
Я не знал , что ты говоришь по-немецки . \n I didn't know , that you speak German .
mark(говоришь, что)
mark(speak, that)
Мы отправим товар , как только на наш счет поступят деньги . \n We will-dispatch goods , as soon-as at our account arrive money .
mark(поступят, как)
fixed(как, только)
mark(arrive, as)
fixed(as, soon-as)
Note that the subordinating conjunction should not be confused with relative pronouns and adverbs.
These fill a valency slot in the frame of the subordinate predicate,
and are labeled according to their role in the frame, they are not mark
:
Я бы хотел узнать , когда нам поступят деньги на счет . \n I would like to-know , when us arrive money at account .
advmod(поступят, когда)
advmod(arrive, when)
neg
: negation modifier
The negation modifier is the relation between the negation word не and the word it modifies.
Negation in Russian is most of the time expressed using a bound morpheme (the prefix не-). Occurrences of the morpheme as a separate word are rare in comparison to other languages, yet they exist.
Она не ест рыбу . \n She not eats fish .
neg(ест, не)
neg(eats, not)
Ему был нужен четвероногий , а не двуногий друг . \n To-him was needed quadrupedal , and not bipedal friend .
neg(двуногий, не)
neg(bipedal, not)
Note that the negative determiners (pronouns) are attached as det, not neg
:
Премьер не был никаким дураком . \n The-Prime-Minister not was no fool .
det(дураком, никаким)
det(fool, no)
nmod
: nominal modifier
The nmod
relation is used for nominal modifiers. They depend
on another noun (group “noun dependents”).
nmod
is a noun (or noun phrase) functioning as a
non-core (oblique) argument or adjunct.
This means that it functionally corresponds to an adverbial when it attaches to a verb, adjective or other adverb.
But when attaching to a noun, it usually corresponds to a non-agreeing attribute in genitive.
In Russian the nmod
relation covers only those possessives that are expressed using the genitive.
If a possessive adjective is used, the relation is labeled amod.
If a possessive determiner (pronoun) is used, the relation is labeled det.
карта студента \n card of-student
nmod(карта, студента)
nmod(card, of-student)
студенческая карта \n student's card
amod(карта, студенческая)
amod(card, student's)
его карта \n his card
amod(карта, его)
amod(card, his)
Agreeing attribute of a noun
nmod
noun phrases attached to nouns are usually in the genitive ru-feat/Case and follow the modified noun.
However, there is also a different kind of nmod
that precedes the modified noun and agrees with it in case and number.
A typical example is a title attached to a name of a person. The relation is similar to the flat relation
that links the first and the last name, but it is not labeled flat
because the title is not part of the name:
российский президент Владимир Владимирович Путин \n Russian president Vladimir Vladimirovich Putin
amod(президент, российский)
amod(president, Russian)
nmod(Владимир, президент)
nmod(Vladimir, president)
name(Владимир, Путин)
name(Vladimir, Putin)
name(Владимир, Владимирович)
name(Vladimir, Vladimirovich)
Note that the same thing can be also expressed using an apposition. In the case of apposition, the title follows the modified name and is separated by a punctuation symbol:
Владимир Путин , российский президент \n Vladimir Putin , Russian president
name(Владимир, Путин)
name(Vladimir, Putin)
punct(президент, ,-3)
punct(president, ,-9)
amod(президент, российский)
amod(president, Russian)
appos(Владимир, президент)
appos(Vladimir, president)
nsubj
: nominal subject
A nominal subject is a NP which is the syntactic subject of a clause; in Russian, the phrase is in the Nominative Case.
(See csubj for when the subject is clausal. See nsubjpass and csubjpass for when the subject is not the proto-agent argument due to valence changing operations.)
The governor of the nsubj
relation might not always be a verb: when the verb is a copular verb, the root of the clause is the complement of the copular verb, which can be an adjective or noun.
Ленинградскую симфонию написал Шостакович . \n Leningrad Symphony wrote Shostakovich .
nsubj(написал, Шостакович)
nsubj(wrote, Shostakovich)
Автомобиль красный . \n Car is-red .
nsubj(красный, Автомобиль)
nsubj(is-red, Car)
nsubj:pass
: passive nominal subject
A passive nominal subject is a noun phrase which is the syntactic subject of a passive clause.
Шварценберг был побеждён Земаном . \n Schwarzenberg was defeated by-Zeman .
nsubj:pass(побеждён, Шварценберг)
nsubj:pass(defeated, Schwarzenberg)
Reflexive passive (the meaning is “This will be solved tomorrow.”)
Это решится завтра . \n This will-be-solved tomorrow .
nsubj:pass(решится, Это)
nsubj:pass(will-be-solved, This)
nummod
: numeric modifier
A numeric modifier of a noun is a numeral or quantifier that serves to modify the meaning of the noun with a quantity. The noun is always the head and the numeral (or quantifier) is always attached as its modifier. Nevertheless, three different relation labels are used to mark situations where the numeral (or quantifier) a) agrees in case with the noun: nummod; b) governs the morphological case of the noun: nummod:gov; c) does not change the morphological form of the noun: nummod:entity.
Сидеть на двух стульях . \n To-sit on two chairs .
nummod(стульях, двух)
nummod(chairs, two)
Два стула сломаны . \n Two chairs broke .
nummod:gov(стула, Два)
nummod:gov(chairs, Two)
Дом два , подъезд четыре . \n Building two , entrance four .
nummod:entity(Дом, два)
nummod:entity(Building, two)
nummod:entity(подъезд, четыре)
nummod:entity(entrance, four)
Agreement and government with Russian quantifiers
The morphological and syntactic behavior of Russian numerals is complicated, and depends on the type of numeral, it’s case, animacy, and sometimes some other factors.
The cardinal numeral один “one” agrees with the noun in case, number, and gender. It behaves in the same way as ordinal numerals and adjectives.
The paucal cardinal numerals два “two”, три “three”, четыре “four”, оба “both”, пол “half”, and полтора “one and a half” agree with the noun in grammatical case in most cases (nummod). In the Nominative and Accusative inanimate case, however, they govern the Genitive singular form of the noun (nummod:gov). The Accusative animate is similar to the Genitive (nummod). Два “two”, оба “both”, and полтора “one and a half” also agree in gender with the noun in all grammatical cases. Examples:
- Один мужчина спал, два мужчины играли в карты с тремя женщинами. “One.Masc man.Masc slept, two.Masc men.Masc played cards with three women.”
- Одна женщина спала, две женщины играли в карты с тремя мужчинами. “One.Fem woman slept, two.Masc women.Masc played cards with three men.”
- Одно чудовище спало, два чудовища играли в карты с тремя привидениями. “One.Neut monster slept, two.Neut monsters played cards with three ghosts.”
In the examples above, the dependencies of the numeral один “one” and the numeral три “three” (in the Instrumental case) are labeled as nummod
:
Одно чудовище спало , два чудовища играли в карты с тремя привидениями . \n One monster slept , two monsters played cards with three ghosts .
nummod(чудовище, Одно)
nummod(monster, One)
nummod(привидениями, тремя)
nummod(ghosts, three)
nummod:gov(чудовища, два)
nummod:gov(monsters, two)
The cardinal numerals of larger quantity (five and more, e.g. пять “five”, шесть “six”, сто “one hundred”) as well as quantifiers (e.g. много “how many, how much”, сколько “how many, how much”, столько “so many, so much”, несколько “a few”) agree with the noun in grammatical case in most cases exactly as other cardinal numerals (nummod). In the Nominative and Accusative inanimate case, however, they govern the Genitive plural form of the noun (nummod:gov). The following table shows the case of the whole phrase (numeral + noun; first column) and the consequences for the case of the parts (note that these numerals have only three distinct morphological forms, resulting in homonymy).
| Phrase Case | Example (paucal) | Example (larger quantity) | Numeral Case | Noun Case |
|---|---|---|---|---|
| Nom | две женщины | пять женщин | Nom | Gen |
| Gen | двух женщин | пяти женщин | Gen | Gen |
| Dat | двум женщинам | пяти женщинам | Dat | Dat |
| Acc | двух женщин/две вазы | пять женщин/пять ваз | Acc | Acc(anim)/Gen(inan) |
| Ins | двумя женщинами | пятью женщинами | Ins | Ins |
| Loc | двух женщинах | пяти женщинах | Loc | Loc |
We can say that the noun has the case of the whole phrase if it is in the Dative, Instrumental, or Locative case. The numeral then agrees with the noun in case. The numeral forces the noun to the Genitive case if the whole phrase is in the Nominative and Accusative case. (NB In the Vocative case, the phrase would behave like in the Nominative case, but the Vocative usage is rather hypothetical). In Genitive, the noun and the numeral agree with each other; but note that the numeral uses its inflected form, as in the other cases where it agrees with the noun.
Pronominal quantifiers behave as high-value numerals and govern the quantifed nouns:
- Сколько мужчин играло в карты? “How many men played cards?”
- Несколько (много, мало) мужчин играло в карты. “Several (many, few) men played cards.”
- Столько мужчин, играющих в карты, я никогда не видел. “I have never seen so many men playing cards.”
Examples: ~~~ sdparse Три мужчины играли в карты . \n Three men played cards . nummod:gov(мужчины, Три) nsubj(играли, мужчины) dobj(играли, карты) case(карты, в) punct(играли, .-6) nummod:gov(men, Three) nsubj(played, men) dobj(played, cards) punct(played, .-12) ~~~
Пять мужчин играло в карты . \n Five men played cards .
nummod:gov(мужчин, Пять)
nsubj(играло, мужчин)
dobj(играло, карты)
case(карты, в)
punct(играло, .-6)
nummod:gov(men, Five)
nsubj(played, men)
dobj(played, cards)
punct(played, .-12)
Сколько мужчин играло в карты ? \n How-many men played cards ?
det:numgov(мужчин, Сколько)
nsubj(играло, мужчин)
dobj(играло, карты)
case(карты, в)
punct(играло, ?-6)
det:numgov(men, How-many)
nsubj(played, men)
dobj(played, cards)
punct(played, ?-12)
Играл я в карты с пятью мужчинами . \n Played I cards with five men .
nsubj(Играл, я)
dobj(Играл, карты)
case(карты, в)
iobj(Играл, мужчинами)
case(мужчинами, с)
nummod(мужчинами, пятью)
punct(Играл, .-8)
nsubj(Played, I)
dobj(Played, cards)
iobj(Played, men)
case(men, with)
nummod(men, five)
punct(Played, .-16)
Не помню , со сколькими мужчинами я играл в карты . \n Not I-remember , with how-many men I played cards .
neg(помню, Не)
ccomp(помню, играл)
punct(играл, ,-3)
nsubj(играл, я)
dobj(играл, карты)
case(карты, в)
iobj(играл, мужчинами)
case(мужчинами, со)
det:nummod(мужчинами, сколькими)
punct(помню, .-11)
neg(I-remember, Not)
ccomp(I-remember, played)
punct(played, ,-15)
nsubj(played, I)
dobj(played, cards)
iobj(played, men)
case(men, with)
det:nummod(men, how-many)
punct(I-remember, .-22)
Additional remarks
Миллион “million” and миллиард “billion” are tagged as a NOUN. In the typical case, such words take the Genitive, it is preceded by a smaller number, and it is not followed by smaller numerals (as it is in million five hundred thousand). It is followed by the counted noun and gets the following analysis:
50 миллионов крон \n 50 millions of-crowns
nummod:gov(миллионов, 50-1)
nummod:gov(millions, 50-5)
nmod(миллионов, крон)
nmod(millions, of-crowns)
On the other hand the word тысяча “thousand” may be a noun (на площади были тысячи людей “there were thousands of people in the square”) or a numeral:
максимум 50 тысяч крон \n at-most 50 thousand crowns
advmod(крон, максимум)
nummod:gov(крон, тысяч)
compound(тысяч, 50-2)
advmod(crowns, at-most)
nummod:gov(crowns, thousand)
compound(thousand, 50-7)
Note that the two numeral words in the above example are joined using the compound relation. Also note that the intensifier максимум is attached to the head of the phrase (крон) and not to the number.
Similarly there may be other nodes (such as punctuation) that are attached to the head of the phrase and they are related to the whole phrase rather than directly to the head noun:
( 9 дней ) \n ( 9 days )
punct(дней, (-1)
nummod:gov(дней, 9-2)
punct(дней, )-4)
punct(days, (-6)
nummod:gov(days, 9-7)
punct(days, )-9)
5 минут с установкой \n 5 minutes including adjustment
nummod:gov(минут, 5-1)
nmod(минут, установкой)
case(установкой, с)
nummod:gov(minutes, 5-6)
nmod(minutes, adjustment)
case(adjustment, including)
Dates
Директор предложил расформировать персонал к 31 . 12 . \n Director proposed to-disband the-staff towards 31 st December .
advmod(расформировать, 12)
case(12, к)
punct(12, .-9)
nummod(12, 31-6)
punct(31-6, .-7)
advmod(to-disband, December)
case(December, towards)
punct(December, .-19)
nummod(December, 31-16)
punct(31-16, st)
Numbered objects
House number in address is attached as nummod
to the name of the street:
в доме на Тверской 12 \n in the-building in Tverskaya 12
nmod(доме, Тверской-4)
case(Тверской-4, на-3)
nummod(Тверской-4, 12-5)
nmod(the-building, Tverskaya)
case(Tverskaya, in)
nummod(Tverskaya, 12-11)
nummod:gov
: numeric modifier governing the case of the noun
nummod:gov
differs from nummod
in that the numeral requires the counted noun to be in its genitive form.
The whole phrase (numeral + noun) is treated as a singular neuter noun phrase
and it can fill roles where nominative, accusative or vocative noun phrases are expected.
In UD the numeral is annotated as dependent of the noun and the nummod:gov
label is used to preserve
the information about case conditions.
Пять мужчин играло в карты . \n Five men played cards .
nummod:gov(мужчин, Пять)
nsubj(играло, мужчин)
obj(играло, карты)
case(карты, в)
punct(играло, .-6)
nummod:gov(men, Five)
nsubj(played, men)
obj(played, cards)
punct(played, .-12)
See nummod for a broader discussion of the various situations with quantifiers.
obj
: object
The object of a verb is the the second most core argument of a verb after the subject. Most often it is a direct object is in the accusative case, a noun phrase that denotes the entity acted upon. However, in Russian there are many verbs that require their objects be in other cases (except for nominative and vocative).
Accusative example:
Я купил машину . \n I have-bought car .
obj(купил, машину)
obj(have-bought, car)
Genitive example:
Я не боюсь этого . \n I-am not afraid of this .
obj(боюсь, этого)
obj(afraid, this)
Dative example:
Но это не соответствует действительности . \n But this not corresponds to-reality .
obj(соответствует, действительности)
obj(corresponds, to-reality)
Instrumental example:
Президент руководит страной . \n The President rules the country .
obj(руководит, страной)
obj(rules, country)
In general, if there is only one object, it should be labeled obj
,
regardless of the morphological case or semantic role that it bears. If there are two or more
objects, one of them should be obj
and the others should be
iobj. In such cases it is necessary to decide what is the most
directly affected object (patient). The one exception is when there is a clausal complement:
then the clausal complement is regarded as a “clausal object” and an object nominal will be an iobj.
obl
: oblique modifier
The obl
relation is used for non-core nominal dependents of clausal
predicates.
Последний раз мы разговаривали зимой . \n Last time we talked in-winter .
obl(разговаривали, зимой)
obl(talked, in-winter)
One subtype of obl
is introduced in Russian: obl:agent for agents of passive verbs.
obl:agent
: agent oblique nominal
The relation obl:agent
is used for agents of passive verbs
Решение было принято моим отцом \n Decision was made by my father
obl:agent(принято, отцом)
obl:agent(made, father)
orphan
: orphan in ellipsis
The orphan
relation is used in cases of head ellipsis where simple promotion would result in unnatural
and misleading dependency relation. The typical case is predicate ellipsis where one of the core arguments
have to be promoted to clausal head.
Павел заказал говядину , а Мария свинину . \n Pavel ordered beef and Maria pork .
nsubj(заказал, Павел)
nsubj(ordered, Pavel)
obj(заказал, говядину)
obj(ordered, beef)
conj(Павел, Мария)
conj(Pavel, Maria)
orphan(говядину, свинину)
orphan(beef, pork)
parataxis
: parataxis
The parataxis relation (from Greek for “place side by side”) is a relation between a word (often the main predicate of a sentence) and other elements, such as a sentential parenthetical or a clause after a “:” or a “;”, placed side by side without any explicit coordination, subordination, or argument relation with the head word. Parataxis is a discourse-like equivalent of coordination, and so usually obeys an iconic ordering. Hence it is normal for the first part of a sentence to be the head and the second part to be the parataxis dependent, regardless of the headedness properties of the language. But things do get more complicated, such as cases of parentheticals, which appear medially.
An inventory of constructions to which parataxis has been applied
Treatment of reported speech
For this reported speech example:
Тот парень , сказал Вася , ушёл рано утром . \n The guy , said Vasya , left early in-the-morning .
parataxis(ушёл, сказал)
parataxis(left, said)
There are paraphrases that convey essentially the same meaning but with a different syntactic structure. When the reported speech is embedded in a subordinate clause (with or without an overt complementizer что “that”), the subordinate clause is a ccomp of the speech verb. When the reported speech follows the speech verb and is separated by a colon, the reported speech forms a main clause that attaches to the preceding main clause with a parataxis relation, hence with the speech verb as its head. However, when the speech verb occurs as a medial or final parenthetical, the relation is reversed and the speech verb is treated as a parataxis of the reported speech. This analysis is not uncontroversial but follows many authorities, such as Huddleston and Pullum (2002), The Cambridge Grammar of the English Language (see chapter 11, section 9).
Вася сказал , что тот парень ушёл рано утром . \n Vasya said , that the guy left early in-the-morning .
ccomp(сказал, ушёл)
ccomp(said, left)
Вася сказал : " Тот парень ушёл рано утром . " \n Vasya said : " The guy left early in-the-morning . "
parataxis(сказал, ушёл)
parataxis(said, left)
" Тот парень ушёл рано утром , " сказал Вася . \n " The guy left early in-the-morning , " said Vasya .
parataxis(ушёл, сказал)
parataxis(left, said)
" Тот парень , " — сказал Вася , — " ушёл рано утром . " \n " The guy , " — said Vasya , — " left early in-the-morning . "
parataxis(ушёл, сказал)
parataxis(left, said)
An argument for this analysis is that in the cases analyzed as embedding, the entire clause can be further embedded (I was taken aback when John said the guy left early in the morning.), while this is not possible with medial or final placement of the speech verb (*I was taken aback when the guy left early this morning, John said.).
News article bylines
The parataxis
relation should be used to connect the parts of a news article byline.
There does not seem to be a better relation to use.
Вашингтон ( CNN ) :
parataxis(Вашингтон, CNN)
punct
: punctuation
This is used for any piece of punctuation in a clause.
Иди домой ! \n Go home !
punct(Иди, !-3)
punct(Go, !-7)
Tokens with the relation punct
always attach to content words (except in cases of ellipsis) and can never have dependents.
Since punct
is not a normal dependency relation, the usual criteria for determining the head word do not apply.
Instead, we use the following principles:
- A punctuation mark separating coordinated units is attached to the first conjunct.
- A punctuation mark preceding or following a subordinated unit is attached to this unit.
- Within the relevant unit, a punctuation mark is attached at the highest possible node that preserves projectivity.
- Paired punctuation marks (quotes and brackets) should be attached to the same word unless that would create non-projectivity. This word is usually the head of the phrase enclosed in the paired punctuation.
Мы покупаем яблоки , груши , апельсины и бананы . \n We buy apples , pears , oranges and bananas .
obj(покупаем, яблоки)
obj(buy, apples)
conj(яблоки, груши)
conj(яблоки, апельсины)
conj(яблоки, бананы)
conj(apples, pears)
conj(apples, oranges)
conj(apples, bananas)
cc(яблоки, и)
cc(apples, and)
punct(яблоки, ,-4)
punct(яблоки, ,-6)
punct(apples, ,-15)
punct(apples, ,-17)
Мужчина , которого ты вчера видел , пришёл снова . \n Man , whom you-have yesterday seen , came again .
punct(видел, ,-2)
punct(seen, ,-13)
punct(видел, ,-7)
punct(seen, ,-18)
punct(пришёл, .-10)
punct(came, .-21)
Аббревиатура напр . означает " например " . \n The-abbreviation eg . means " for-example " .
punct(напр, .-3)
punct(eg, .-12)
punct(например, "-5)
punct(for-example, "-14)
punct(например, "-7)
punct(for-example, "-16)
punct(означает, .-8)
punct(means, .-17)
reparandum
: overridden disfluency
We use reparandum
to indicate disfluencies overridden in a speech
repair. The disfluency is the dependent of the repair.
Идите напра- налево . \n Go to-the-righ- to-the-left .
reparandum(налево, напра-)
reparandum(to-the-left, to-the-righ-)
root
: root
The root
grammatical relation points to the root of the sentence. A
fake node ROOT
is used as the governor. The ROOT
node is indexed
with 0, since the indexing of real words in the sentence starts at 1.
ROOT Люблю индийскую еду . \n ROOT I-love Indian food .
root(ROOT-1, Люблю)
root(ROOT-7, I-love)
There is just one node with the root
dependency relation in every
tree. If the main predicate is not present (due to
ellipsis)
and there are
multiple orphaned dependents, the leftmost dependent is promoted to
the head (root) position and the other orphans are attached to it.
An example sentence-like segment that lacks the main verb: И что он на это ? “And what [does] he [say] to it?”
ROOT И что он на это ? \n ROOT And what he to it ?
root(ROOT-1, И)
root(ROOT-9, And)
obj(И, что)
obj(And, what)
nmod(И, это)
nmod(And, it)
case(это, на)
case(it, to)
nsubj(И, он)
nsubj(And, he)
punct(И, ?-7)
punct(And, ?-15)
vocative
: vocative
The vocative
relation is used to mark dialogue participant addressed in text.
The relation links the addressee’s name to its host sentence.
In Russian, the addressee’s name can also appear in the vocative Case form.
Мужчина , Вы дурак ! \n Sir , you-are a-fool !
vocative(дурак, Мужчина)
vocative(a-fool, Sir)
xcomp
: open clausal complement
An open clausal complement (xcomp
) of a verb or an adjective is a
predicative or clausal complement without its own subject. The
reference of the subject is necessarily determined by an argument
external to the xcomp (normally by the subject of the next higher
clause). This is often referred to as obligatory control.
These complements are always non-finite, and they are
complements (arguments of the higher verb or adjective) rather than
adjuncts/modifiers, such as a purpose clause. The name xcomp
is
borrowed from Lexical-Functional Grammar.
Хочешь плавать ? \n Do-you-want to-swim ?
xcomp(Хочешь, плавать)
xcomp(Do-you-want, to-swim)
Я начал там работать вчера . \n I started there to-work yesterday .
xcomp(начал, работать)
xcomp(started, to-work)
Note that the above condition “without its own subject” does not mean that a
clause is an xcomp
just because its subject is not overt.
The subject must be necessarily inherited from a fixed position in the higher clause.
That is, there should be no available interpretation where the subject of the lower clause may be distinct
from the specified role of the upper clause.
In cases where the missing subject may or must be distinct from a fixed role in the higher clause,
ccomp should be used instead, as below. This includes cases of arbitrary subjects and anaphoric control.
Начальник приказал выкопать ров . \n Boss ordered to-dig ditch .
ccomp(приказал, выкопать)
ccomp(ordered, to-dig)
Pro-drop languages have clauses where the subject is not present as a separate word,
yet it is inherently present (and often deducible from the form of the verb)
and it does not depend on arguments from a higher clause.
Thus in neither of the following two Russian examples is there any overt subject,
yet only the second example contains an xcomp
.
Пишу , потому что я это обещал . \n I-write , because that I-have it promised .
advcl(Пишу, обещал)
advcl(I-write, promised)
Я обещал писать . \n I have-promised to-write .
xcomp(обещал, писать)
xcomp(have-promised, to-write)


The log4net Logical Thread Context.
For a list of all members of this type, see LogicalThreadContext Members.
System.Object
log4net.LogicalThreadContext
This type is safe for multithreaded operations.
The LogicalThreadContext
provides a location for CallContext specific debugging information to be stored. The LogicalThreadContext
properties override any ThreadContext or GlobalContext properties with the same name.
The Logical Thread Context has a properties map and a stack. The properties and stack can be included in the output of log messages. The PatternLayout supports selecting and outputting these properties.
The Logical Thread Context provides a diagnostic context for the current call context. This is an instrument for distinguishing interleaved log output from different sources. Log output is typically interleaved when a server handles multiple clients near-simultaneously.
The Logical Thread Context is managed on a per CallContext basis.
Example of using the thread context properties to store a username.
[C#]
LogicalThreadContext.Properties["user"] = userName;
log.Info("This log message has a LogicalThreadContext Property called 'user'");
Example of how to push a message into the context stack [C#]
using(LogicalThreadContext.Stacks["LDC"].Push("my context message"))
{
log.Info("This log message has a LogicalThreadContext Stack message that includes 'my context message'");
} // at the end of the using block the message is automatically popped
Namespace: log4net
Assembly: log4net (in log4net.dll)
LogicalThreadContext Members | log4net Namespace


YOUNG MASTER (1980) A movie review by Serdar Yegulalp (C) 1997 by Serdar Yegulalp
CAPSULE: Roaringly good early Jackie Chan vehicle, loaded with splendid stunt choreography and -- no! -- a nifty story.
YOUNG MASTER opens with a scene of such brashness and confidence that I was holding my breath out of fear that they couldn't sustain such a tone throughout the movie. And they really can't, but they come close enough that it makes little difference. The scene in question is a contest between rival martial arts schools, in which two teams dress up as Chinese New Year's dragons and must compete to retrieve a prize from an elaborate obstacle course. It's ten thousand times more riveting that the usual "Ha! Ha! Now you will die!" stuff that most chopsocky movies build their story around. It's also where we meet Jackie Chan's character, named (not coincidentally) Dragon.
Despite being well-coordinated, Dragon still loses the competition to the rival school. His teacher, disgusted with the lack of discipline he shows, kicks him out -- and his brother, as well, when it turns out his brother's a sellout to the other side. This sends the two of them right into gobs of trouble, since Dragon's brother has decided that the best way to make his living is through allying himself with a criminal family. All of this comes roaring out at us at the speed of about six fpm (fights per minute).
What's surprising about all this is that it holds together, makes a strange amount of sense, and becomes a clotheslines for Jackie to hang no end of martial-arts-based visual gags. (One fight, involving a battle fan, required over 300 takes to get right.) The movie also has a fixation with props used in weird ways: there are scenes where a pipe, a bench, and a length of rope get used in ways that boggle the mind.
Jackie Chan has risen from a cult figure to a consummate "total entertainer", a man who so completely lionizes the screen that it's no wonder he was able to make routine HK action movies into something really special. Here's proof.
Three and a half out of four battle fans.
<EMAIL_ADDRESS>EFNet IRC: GinRei http://www.io.com/~syegul another worldly device... you can crush me as I speak/write on rocks what you feel/now feel this truth UNMUTUAL: A Digital Art Collective - E-mail<EMAIL_ADDRESS>for details =smilin' in your face, all the time wanna take your place, the BACKSTABBERS=
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


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Before Change
einsum_str = "n,nj->j"
if point_type == "matrix":
einsum_str = "n,nij->ij"
points = gs.to_ndarray(points, to_ndim=3)
n_points = gs.shape(points)[0]
if weights is None:
weights = gs.ones((n_points,))
mean = points[0]
if n_points == 1:
return mean
sum_weights = gs.sum(weights)
sq_dists_between_iterates = []
iteration = 0
sq_dist = 0.
var = 0.
while iteration < max_iter:
condition = ~gs.logical_or(
gs.isclose(var, 0.),
gs.less_equal(sq_dist, epsilon * var))
if not (condition or iteration == 0):
break
logs = metric.log(point=points, base_point=mean)
After Change
points = gs.to_ndarray(points, to_ndim=2)
einsum_str = "n,nj->j"
if point_type == "matrix":
points = gs.to_ndarray(points, to_ndim=3)
einsum_str = "n,nij->ij"
n_points = gs.shape(points)[0]
if weights is None:
weights = gs.ones((n_points,))
mean = points[0]
if n_points == 1:
return mean
sum_weights = gs.sum(weights)
sq_dists_between_iterates = []
iteration = 0
sq_dist = 0.
var = 0.
while iteration < max_iter:
print(var)
print(sq_dist)
var_is_0 = gs.isclose(var, 0.)
sq_dist_is_small = gs.less_equal(sq_dist, epsilon * var)
condition = ~gs.logical_or(var_is_0, sq_dist_is_small)
if not (condition or iteration == 0):
break
logs = metric.log(point=points, base_point=mean)


SC ‘not infallible’, says Owaisi on Ayodhya vedict, slams Cong over unlocking Babri
by The Statesman
Owaisi expressed apprehension that the Sangh Pariwar will now target other mosques, including those at Mathura and Kashi.
All India Majlis-e-Ittehadul Muslimeen (AIMIM) President Asaduddin Owaisi on Saturday expressed his dissatisfaction with the Supreme Court verdict on Ayodhya land dispute.
Expressing discontent, Owaisi said that the Supreme Court is indeed “supreme but not infallible” and termed the judgment as a victory of “faith over facts”.
In what will go down in history as one of its most landmark verdicts, the Supreme Court on Saturday granted the ownership of the 2.77 acres of disputed land in Ayodhya to the Hindus, paving the way for the construction of a Ram Temple, and ruled that the Muslims will get 5 acres of land at an alternative site.


| Product | Price | Quantity | Subtotal | |
|---|---|---|---|---|
CaribSea Aragonite Aragamax OoliteKeep your aquarium looking its best with this CaribSea Aragonite Aragamax Oolite. This substrate is ideal for use in freshwater, marine or reef aquariums, including those for African Cichlids. The excellent buffering capability of this substrate helps maintain a high pH level without adding chemicals. |
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| Total 1.99 | ||||
| Continue Shopping | Total $40.00 | Checkout |


Engineering Equations and Formula Calculator
Solving for Acceleration
a = F / m
Force (N)
Mass (kg)
Acceleration (m/s^2)
Solving for Acceleration:
The Acceleration in m/s^2 is:
Imperial System
English Engineering Units
Change Units
Select to solve for different unknown value
F = m / a
m = F / a
<


When I posted Bonkers Maisie here a couple of weeks ago, Pansy Cradledew said “I'd like to hear that set to music by Outa_Spaceman”. And lo! it has now been set to music and performed by Mr Spaceman. You can listen to his fine rendition here.
Next up, I would like to hear a large-scale Orchestral Variations On A Theme Of Bonkers Maisie By Outa_Spaceman, and perhaps an ear-splitting choral version, but I suppose that is too much to ask.


--- layout: post authors: ["Karin Lagesen"] title: "2015 Election: Karin Lagesen" date: 2015-01-14 time: "09:40:00" tags: ["Software Carpentry Foundation", "Election 2015"] ---
I have been involved with Software Carpentry since I attended a workshop in Oslo, Norway, in 2012. I started out as a student, then went through the second round of instructor training, before being an instructor at my first workshop in 2013. Since then, I have organized one workshop and been an instructor at five others. I have also been involved with revamping the pre-assessment forms. This work has been very fulfilling and challenging on very many levels, and I now want to expand on my efforts by volunteering for the steering committee.
I got my PhD in bioinformatics from the University of Oslo in 2008. My reason for choosing bioinformatics was simply that I could not figure out whether I preferred molecular biology or computer science, and thus I ended up doing both. During both my master's and my PhD work I did however become more computationally oriented, and today I would no longer trust myself with a pipette. I also have quite a lot of experience with high performance computing, both as a user and as a system administrator, and I know how infuriatingly frustrating these systems can be.
Since finishing my PhD, I have worked with people from many different backgrounds. I have frequently had occation to teach people with little to no computational education how to navigate a Unix system and how to do basic programming and analyses. This has been a lot of fun, but has also challenged my skills at translating between fields. It has also made me very aware of how difficult it is for somebody with no training in these fields to bootstrap themselves up to a level where they can get things done. From a bioinformatics perspective, this has for me made the skills that Software Carpentry teaches especially important. Bioinformatics as a discipline exists almost entirely within an Unix world, making the ability to work within that world quite crucial.
If elected, my main focus will be on mentoring instructors, and on building a Software Carpentry community. We are a rapidly growing organization, and we have many new people going through instructor training. All of these have to pass the hurdle of teaching their first workshop in order to be certified instructors, however, that can be intimidating. We should also not neglect our existing instructor pool. Our curriculum has lately undergone drastic changes, and we should work towards making the current lesson material easy to adopt for both new and existing instructors. Also, many instructors only know one or two other instructors. Encouraging closer connections between instructors can both help get new workshops off the ground, and can also contribute to knowledge dissemination between instructors and help foster collaborations.
Through my involvement with Software Carpentry, I have grown a lot in my own practices and in my own teaching. I now would like to help others experience the same by serving as a member of the steering committee. For more details about me, feel free to contact me on twitter (@karinlag) or email (karin.lagesen@medisin.uio.no). I also occasionally blog at blog.karinlag.no, where my CV is also available.


|
IMUGraph
Adquisition with IMUs
|
Posture estimation based on accelerometer used as a compensated tilt sensor. More...
Public Member Functions | |
| def | __init__ |
| Constructor. | |
| def | offset |
| Determinates the offset in the accelerometer. More... | |
| def | compensatedTilt |
| Compesated tilt. More... | |
| def | normalize |
| Normalizes de values of the gravity. More... | |
| def | mean |
| Average of a list of values. More... | |
| def | resetBuffers |
| Clean buffers. More... | |
| def | getTilt |
| Getter for the tilt values. More... | |
Public Attributes | |
| g | |
| angle_frontal | |
| angle_lateral | |
| X | |
| Y | |
| Z | |
Static Public Attributes | |
| int | std = .05 |
| list | g = [0] |
Posture estimation based on accelerometer used as a compensated tilt sensor.
The algoritm calculates the offset due to earth's gravity in the accelerometer axis, provided no other accelerations or forces affects the accelerometer.
The algorithm then determinates the tilt componsated with the estimated position of the gravity, to ensure the measurements are always equals in the coordinates of the accelerometer.
| def posture.Posture.compensatedTilt | ( | self, | |
| x, | |||
| y, | |||
| z | |||
| ) |
Compesated tilt.
Using the data generated by offset, modifies axis values gatered so the tilt is always measured properly, based on this considerations:
With this considerations, the rest of the modifications based on the displacement of the earth's gravity are reorder to calculate the tilt alway in reference to the earth's gravity
| self | The object pointer. |
| x | Acceleration in the x axis, in g |
| y | Acceleration in the y axis, in g |
| z | Acceleration in the z axis, in g |
| def posture.Posture.getTilt | ( | self, | |
| x, | |||
| y, | |||
| z | |||
| ) |
Getter for the tilt values.
| self | The object pointer. |
| x | Acceleration in the x axis, in g |
| y | Acceleration in the y axis, in g |
| z | Acceleration in the z axis, in g |
| def posture.Posture.mean | ( | self, | |
| list_ | |||
| ) |
Average of a list of values.
| self | The object pointer. |
| list_ | list with values |
| def posture.Posture.normalize | ( | self, | |
| value | |||
| ) |
Normalizes de values of the gravity.
Normalizes values in 3 ranges, using the std as desviation from the expected values
| self | The object pointer. |
| value | Value to be normalized |
| def posture.Posture.offset | ( | self, | |
| x, | |||
| y, | |||
| z | |||
| ) |
Determinates the offset in the accelerometer.
When the accelerometer is static, it's readings should show the effect of the gravity in accelerometer (while it's inside the earth's gravitational force). Therefore, if no other force (normalized magnitud equal to 1 g) the direction of the gravity force could be estimated
An std value is defined for the desviation in the values acceptables
| self | The object pointer. |
| x | Acceleration in the x axis, in g |
| y | Acceleration in the y axis, in g |
| z | Acceleration in the z axis, in g |
| def posture.Posture.resetBuffers | ( | self | ) |
Clean buffers.
| self | The object pointer. |


|
integrate 2.0
A numerical integrator library
|
Functions | |
| template<typename Real , typename State > | |
| const void | stepEuler (Real &time, State &state, const Real stepSize, const std::function< const State(const Real time, const State &state)> &computeStateDerivative) |
| Execute single integration step using Euler scheme. | |
| template<typename Real , typename State > | |
| const void | stepRK4 (Real &time, State &state, const Real stepSize, const std::function< const State(const Real time, const State &state) > &computeStateDerivative) |
| Execute single integration step using Runge-Kutta 4 scheme. | |
| template<typename Real , typename State > | |
| const void | stepRKF45 (Real &time, State &state, Real &stepSize, const std::function< const State(const Real time, const State &state)> &computeStateDerivative, const Real tolerance, const Real minimumStepSize, const Real maximumStepSize) |
| Execute single integration step using Runge-Kutta-Felhberg 4(5) scheme. | |
| template<typename Real , typename State > | |
| const void | stepRKF78 (Real &time, State &state, Real &stepSize, const std::function< const State(const Real time, const State &state)> &computeStateDerivative, const Real tolerance, const Real minimumStepSize, const Real maximumStepSize) |
| Execute single integration step using Runge-Kutta-Felhberg 7(8) scheme. | |
| const void integrate::stepEuler | ( | Real & | time, |
| State & | state, | ||
| const Real | stepSize, | ||
| const std::function< const State(const Real time, const State &state)> & | computeStateDerivative | ||
| ) |
Executes single numerical integration step using Euler scheme.
| Real | Type for floating-point number |
| State | Type for state and state derivative |
| [in,out] | time | Independent variable, which is provided as input and is updated with output at end of integration step |
| [in,out] | state | State, which is provided as input and is updated with output at end of integration step |
| [in] | stepSize | Step size to take for integration step |
| [in] | computeStateDerivative | Function to compute state derivative for current time and state |
| const void integrate::stepRK4 | ( | Real & | time, |
| State & | state, | ||
| const Real | stepSize, | ||
| const std::function< const State(const Real time, const State &state) > & | computeStateDerivative | ||
| ) |
Executes single numerical integration step using Runge-Kutta 4 scheme.
| Real | Type for floating-point number |
| State | Type for state and state derivative |
| [in,out] | time | Independent variable, which is provided as input and is updated with output at end of integration step |
| [in,out] | state | State, which is provided as input and is updated with output at end of integration step |
| [in] | stepSize | Step size to take for integration step |
| [in] | computeStateDerivative | Function to compute state derivative for current time and state |
| const void integrate::stepRKF45 | ( | Real & | time, |
| State & | state, | ||
| Real & | stepSize, | ||
| const std::function< const State(const Real time, const State &state)> & | computeStateDerivative, | ||
| const Real | tolerance, | ||
| const Real | minimumStepSize, | ||
| const Real | maximumStepSize | ||
| ) |
Executes single numerical integration step using Runge-Kutta-Felhberg 4(5) scheme.
| Real | Type for floating-point number |
| State | Type for state and state derivative |
| [in,out] | time | Independent variable, which is provided as input and is updated with output at end of integration step |
| [in,out] | state | State, which is provided as input and is updated with output at end of integration step |
| [in,out] | stepSize | Step size to take for integration step |
| [in] | computeStateDerivative | Function to compute state derivative for current time and state |
| [in] | tolerance | Local truncation error tolerance |
| [in] | minimumStepSize | Minimum allowable step size for integration step |
| [in] | maximumStepSize | Maximum allowable step size for integration step |
| const void integrate::stepRKF78 | ( | Real & | time, |
| State & | state, | ||
| Real & | stepSize, | ||
| const std::function< const State(const Real time, const State &state)> & | computeStateDerivative, | ||
| const Real | tolerance, | ||
| const Real | minimumStepSize, | ||
| const Real | maximumStepSize | ||
| ) |
Executes single numerical integration step using Runge-Kutta-Felhberg 7(8) scheme.
| Real | Type for floating-point number |
| State | Type for state and state derivative |
| [in,out] | time | Independent variable, which is provided as input and is updated with output at end of integration step |
| [in,out] | state | State, which is provided as input and is updated with output at end of integration step |
| [in,out] | stepSize | Step size to take for integration step |
| [in] | computeStateDerivative | Function to compute state derivative for current time and state |
| [in] | tolerance | Local truncation error tolerance |
| [in] | minimumStepSize | Minimum allowable step size for integration step |
| [in] | maximumStepSize | Maximum allowable step size for integration step |


Create a div tag in html file with specific id for example vtabArea and write a specific function in javascript file to perform your business logic. An sample example as shown below:
HTML file:

Javascript file:
var data= {"vtabData":{"items": [{"tablabel": "Why AngularJS?","isActive": true,"target": "tab1","msg": "HTML is great for declaring static documents, but it falters when we try to use it for declaring dynamic views in web-applications. AngularJS lets you extend HTML vocabulary for your application. The resulting environment is extraordinarily expressive, readable, and quick to develop."};
$scope.init = function() {
loadvTabData();
}
function loadvTabData() {
var vtab_tpl = $(modelTemplate).filter('#vtabs').html();
var html = Mustache.to_html(vtab_tpl, data.vtabData);
$('#vtabArea').html(html);
}


Michele is ...
I'm Michele and I am a software engineer. I inevitably do it with passion as computers are cool and as I like the feel of being proud of achieved results, even the everyday small results. I think that the right (and not boring) way to do it is to practice and improve my skills and tools every day. I like technology in general and new stuff but, generally speaking, I do not think that 'new' is necessarily 'better'. I like hiking, cooking, building stuff with my hand (sometimes through a keyboard).


Slickmap Sitemap
Created by Matt Everson of Astuteo, LLC
http://astuteo.com/slickmap
A.mphibio.us RDK
a.mphibio.us
What is A.mphibio.us
What is it made of?
A.mphibio.us Showcase
The E.volution of A.mphibio.us
The A.mphibio.us Colophon
Foundation
Core
Symantic Grid
Responsive Columns
Fluid Columns
Golden ratio grids
Source Ordering
Media Queries
Form
Typography
and the golden ratio
Basic Forms
Mutli Beside Forms
Custom Checkboxes and Radios
Prepend and Append Icons
jQuery Datepicker Fields
Tables
not for layout
Function
Horizontal Nav
with tertiary
Horizontal Nav
css
Vertical Nav
with tertiary
Breadcrumbs
Tabs
Pagination nav
Features
Responsive Slide Shows
Layout Helpers
& shorthand classes
Content Pea.rs
Webfont Icons
by entypo
Feedback
Feedback
Feedback
Feedback
Feedback


by Brian DeRocher / @openbrian
2015 October 27
Docker is a container which developers build around their applications in order to ship them into operating environments such as the cloud.
https://www.docker.com/| Daemon | Images | Containers | Hub |
$ apt-get install docker
Pull pre-existing imags from the Hub
$ docker pull leaflet/leaflet
Build images from a Dockerfile
$ docker build -t noblis/leaflet .
List your docker images
$ docker images
Start an independent container from an image
$ docker run -it -p 3000:80 -V /home/amr/app:/opt noblis/leaflet
List the running and non-running containers
$ docker ps -a
Save container changes as a new image
$ docker commit ... TODO
How: Copy on Write filesystem
Publish new images on the Docker Hub
$ apt-get push


The Newick Format is a format for storing tree descriptions. A tree description is information about the structure of a tree.
The Phylip and NEXUS formats use the Newick Format.
The hierarchical structure of trees means they can be efficiently represented as sets of nested paired parentheses.
An example Newick tree description
(((Cow, Lungfish), Salmon), Lamprey);
This tree description represents a tree with the four leaves Cow, Lungfish, Salmon and Lamprey. The innermost pair of parentheses specifies the sister group relationship of the Cow and Lungfish. The next most inclusive pair of brackets indicates that the Salmon groups with this pair to the exclusion of the Lamprey. The outermost pair of brackets groups all the leaves together and the semicolon indicates the end of the tree description.
Branch lengths are stored in Newick tree descriptions as real numbers following a colon which is placed immediately after the group descended from the branch to which the length refers.
An example Newick tree description with branch lengths
(((Cow:18.87953, Lungfish:7.93875):5.29292, Salmon:9.98944):11.50334, Lamprey:13.34753);
This tree description indicates that the branch to the Cow is of length 18.87953 and that the Salmon and Lungfish are separated by a distance of 9.98944 + 5.29292 + 7.93875 = 23.2211.
Line breaks may occur at any time in a Newick tree description except in the middle of a leaf name or branch length.
Go to the Table of Contents.
This page is maintained by<EMAIL_ADDRESS>© Copyright 1999, 2000, 2001, Joseph L. Thorley and Mark Wilkinson. All rights reserved.


Assembly for the Google APIs Client Library for Java 1.4.1-beta
High-level details about this library can be found at http://code.google.com/p/google-api-java-client,
including JavaDoc, documentation, support, samples, and source code.
Dependent jars are found in the dependencies
folder.
Version 1.4 contains some changes that are incompatible with prior
version 1.3:
- Removed methods/classes/fields that were deprecated in 1.3 and
scheduled to be removed in version 1.4. Please check
the JavaDoc for advice.
- Added required methods that are scheduled for inclusion in version
1.4:
- App Engine SDK minimum version 1.4.2 is now required in order to
enable SSL certificate validation.
- NetHttpTransport
(check the linked JavaDoc for advice): removed fields connectTimeout and
readTimeout.
- UrlFetchHttpTransport
(check the linked JavaDoc for advice): removed field deadline.


| Year | Team | Status | Finish | W-L | PPG | PAPG | Margin | TU/G | N/G | BHrd | BPts | PPB |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2017 | Amherst | UG | 31 | 8-5 | 166.5 | 161.9 | 4.6 | 8.46 | 1.77 | 110 | 1180 | 10.73 |
| 2018 | Amherst | UG | 22 | 6-11 | 159.1 | 210.0 | -50.9 | 7.24 | 1.82 | 123 | 1630 | 13.25 |
| 2019 | Amherst | 15 | 9-5 | 232.1 | 168.2 | 63.9 | 10.43 | 2.57 | 146 | 1970 | 13.49 |
ACF Nationals 2017
| Year | Round | Team | Opponent | Result | Score | 10 | -5 | PPB | Packet |
|---|---|---|---|---|---|---|---|---|---|
| 2017 | 1 (Prelims) | Amherst | Michigan A | Loss | 75 - 345 | 4 | 1 | 10.00 | Berkeley A + Tennessee |
| 2017 | 3 (Prelims) | Amherst | NYU | Win | 225 - 85 | 12 | 1 | 9.17 | Minnesota + MIT A |
| 2017 | 4 (Prelims) | Amherst | Duke | Loss | 145 - 200 | 7 | 3 | 12.86 | Ohio St + Cambridge + Oxford B |
| 2017 | 5 (Prelims) | Amherst | MIT A | Loss | 115 - 270 | 6 | 3 | 11.67 | Stanford + Harvard |
| 2017 | 7 (Prelims) | Amherst | Oxford A | Loss | 100 - 335 | 5 | 4 | 14.00 | Yale A + Duke |
| 2017 | 8 (Prelims) | Amherst | Minnesota A | Loss | 95 - 280 | 5 | 3 | 12.00 | Maryland |
| 2017 | 10 (Playoffs) | Amherst | Central Florida | Win | 165 - 80 | 9 | 1 | 8.89 | Editors 1 |
| 2017 | 11 (Playoffs) | Amherst | MIT B | Win | 280 - 100 | 11 | 0 | 15.45 | Editors 2 |
| 2017 | 12 (Playoffs) | Amherst | Yale C | Win | 230 - 30 | 13 | 2 | 8.46 | Editors 3 |
| 2017 | 13 (Playoffs) | Amherst | Rice | Win | 135 - 130 | 9 | 1 | 5.56 | Editors 4 |
| 2017 | 15 (Playoffs) | Amherst | Toronto B | Win | 190 - 155 | 10 | 2 | 10.00 | Editors 6 |
| 2017 | 16 (Playoffs) | Amherst | Ottawa | Win | 285 - 65 | 12 | 1 | 14.17 | Editors 7 |
| 2017 | 17 (Playoffs) | Amherst | New College of Florida | Win | 125 - 30 | 7 | 1 | 8.57 | Editors 8 |
| Year | Team | Player | Games | Tossups | Negs | Pts | PPG |
|---|---|---|---|---|---|---|---|
| 2017 | Amherst | Kevin Wang | 13 | 62 | 12 | 560 | 43.08 |
| 2017 | Amherst | Corry Wang | 13 | 48 | 11 | 425 | 32.69 |
ACF Nationals 2018
| Year | Round | Team | Opponent | Result | Score | 10 | -5 | PPB | Packet |
|---|---|---|---|---|---|---|---|---|---|
| 2018 | 1 (Prelims) | Amherst | Delaware | Win | 170 - 160 | 7 | 2 | 15.71 | Oxford + Duke |
| 2018 | 2 (Prelims) | Amherst | Chicago A | Loss | 90 - 340 | 5 | 2 | 10.00 | Minnesota A |
| 2018 | 4 (Prelims) | Amherst | Penn State | Win | 140 - 135 | 7 | 2 | 11.43 | Maryland A |
| 2018 | 5 (Prelims) | Amherst | Maryland A | Loss | 175 - 235 | 8 | 1 | 12.50 | Oklahoma + Michigan B |
| 2018 | 6 (Prelims) | Amherst | Missouri | Loss | 140 - 280 | 6 | 2 | 15.00 | JHU A + Florida |
| 2018 | 7 (Prelims) | Amherst | Virginia A | Win | 260 - 170 | 11 | 2 | 14.55 | NYU + JHU B |
| 2018 | 8 (Prelims) | Amherst | UCLA | Win | 170 - 120 | 9 | 2 | 10.00 | Virginia A |
| 2018 | 9 (Playoffs) | Amherst | Duke | Loss | 160 - 320 | 7 | 2 | 14.29 | Editors 1 |
| 2018 | 10 (Playoffs) | Amherst | Oklahoma | Loss | 85 - 355 | 4 | 3 | 15.00 | Editors 2 |
| 2018 | 11 (Playoffs) | Amherst | Michigan A | Loss | 170 - 205 | 7 | 2 | 15.71 | Editors 3 |
| 2018 | 12 (Playoffs) | Amherst | Johns Hopkins | Loss | 170 - 205 | 6 | 0 | 18.33 | Editors 4 |
| 2018 | 13 (Playoffs) | Amherst | Oxford A | Loss | 95 - 180 | 5 | 3 | 12.00 | Editors 5 |
| 2018 | 14 (Playoffs) | Amherst | Illinois A | Win | 225 - 90 | 10 | 1 | 13.00 | Editors 6 |
| 2018 | 15 (Playoffs) | Amherst | UCSD A | Loss | 165 - 180 | 8 | 1 | 11.25 | Editors 7 |
| 2018 | 16 (Playoffs) | Amherst | Florida A | Loss | 120 - 260 | 6 | 2 | 11.67 | Editors 8 |
| 2018 | 17 (Playoffs) | Amherst | Harvard A | Win | 230 - 55 | 11 | 2 | 11.82 | Editors 9 |
| 2018 | 18 (Playoffs) | Amherst | McGill | Loss | 140 - 280 | 6 | 2 | 15.00 | Editors 10 |
| Year | Team | Player | Games | Tossups | Negs | Pts | PPG |
|---|---|---|---|---|---|---|---|
| 2018 | Amherst | Kevin Wang | 17 | 52 | 25 | 395 | 23.24 |
| 2018 | Amherst | Boyang Jiao | 11 | 25 | 4 | 230 | 20.91 |
| 2018 | Amherst | Eliot Williams | 17 | 26 | 2 | 250 | 14.71 |
| 2018 | Amherst | Juliet Mayer | 17 | 20 | 0 | 200 | 11.76 |
ACF Nationals 2019
| Year | Round | Team | Opponent | Result | Score | 10 | -5 | PPB | Packet |
|---|---|---|---|---|---|---|---|---|---|
| 2019 | 2 (Prelims) | Amherst | Minnesota B | Win | 380 - 65 | 15 | 4 | 16.67 | UVA + Rutgers + Chicago B |
| 2019 | 3 (Prelims) | Amherst | Delaware | Win | 295 - 110 | 14 | 3 | 12.14 | McGill + UCLA + Oxford |
| 2019 | 4 (Prelims) | Amherst | New College of Florida | Win | 155 - 145 | 8 | 3 | 11.25 | Berkeley A + Ohio St |
| 2019 | 5 (Prelims) | Amherst | McGill | Loss | 195 - 245 | 9 | 1 | 12.22 | Chicago A + Penn St |
| 2019 | 6 (Prelims) | Amherst | WUSTL | Win | 215 - 210 | 9 | 3 | 15.56 | Minn A + Harvard A + B |
| 2019 | 7 (Prelims) | Amherst | Chicago A | Loss | 25 - 435 | 2 | 5 | 15.00 | Florida A + Michigan St |
| 2019 | 8 (Prelims) | Amherst | Stanford B | Win | 370 - 15 | 14 | 2 | 17.14 | Illinois A + Wright St |
| 2019 | 10 (Playoffs) | Amherst | Chicago B | Loss | 185 - 195 | 8 | 1 | 13.75 | Editors 1 |
| 2019 | 11 (Playoffs) | Amherst | Johns Hopkins | Win | 275 - 120 | 13 | 1 | 11.54 | Editors 2 |
| 2019 | 12 (Playoffs) | Amherst | North Carolina | Win | 265 - 110 | 11 | 1 | 14.55 | Editors 3 |
| 2019 | 13 (Playoffs) | Amherst | Florida A | Loss | 190 - 255 | 8 | 4 | 16.25 | Editors 4 |
| 2019 | 15 (Superplayoffs) | Amherst | Yale A | Win | 245 - 195 | 12 | 3 | 11.67 | Editors 6 |
| 2019 | 16 (Superplayoffs) | Amherst | Virginia A | Loss | 155 - 220 | 9 | 3 | 8.89 | Editors 7 |
| 2019 | 17 (Superplayoffs) | Amherst | Texas | Win | 300 - 35 | 14 | 2 | 12.14 | Editors 8 |
| Year | Team | Player | Games | Tossups | Negs | Pts | PPG |
|---|---|---|---|---|---|---|---|
| 2019 | Amherst | Kevin Wang | 14 | 60 | 8 | 560 | 40.00 |
| 2019 | Amherst | Eliot Williams | 14 | 34 | 1 | 335 | 23.93 |
| 2019 | Amherst | Boyang Jiao | 14 | 43 | 24 | 310 | 22.14 |
| 2019 | Amherst | Andy Tang | 14 | 9 | 3 | 75 | 5.36 |


Student
Knoxville, TN
<EMAIL_ADDRESS>14236761047
Skills
Lean Manufacturing
Microsoft Excel
Data Analytics
Six Sigma
Languages
English
Spanish
French
Intern in Operations
Tutored chemistry and calculus
Taught swim lesssons to youth
High School Diploma
Quality Control and Management
High School Diploma
Human Factors
Intern in Operations


Submissions
By alphabetical order
GT Inspector
- Submitter: Andrei Chiș, Tudor Girba, Alex Syrel
- Smalltalk Dialect: Pharo
- Affiliation: University of Bern, tudorgirba.com
- Country: Switzerland
- Website: http://gt.moosetechnology.org
- Trailer: http://vimeo.com/103463364
- Keywords: Pharo, IDE, Moose, Visualization
- Licence: MIT
Kontolino.de
- Submitter: Joachim Tuchel
- Smalltalk Dialect: VA Smalltalk
- Affiliation: objektfabrik Joachim Tuchel
- Country: Germany
- Download url: http://www.kontolino.de/
- Demo url: https://kontolino.de/?registrieren
- Keywords: Accounting, saas, Small and Medium businesses, tax reporting
- Licence: commercial


Opposition parties to hold APC in Islamabad today
by https://www.facebook.com/dunyanewsISLAMABAD (Dunya News) – Opposition s All Parties Conference (APC) will be held in Islamabad today (Thursday) to discuss the future course of action against the government including anti-government rallies, Dunya News reported.
According to sources, the All Parties Conference will be held at the residence of Pakistan Muslim League-Nawaz (PML-N) leader Tariq Fazal Chaudhry in Islamabad.
Sources further said that Pakistan People’s Party (PPP), Jamiat Ulema-i-Islam-Fazl (JUI-F) and other opposition parties will attend the meeting.


Inherited from ClassicConverter
Inherited from DynamicConverter[ILoggingEvent]
Inherited from ContextAware
Inherited from LifeCycle
Inherited from FormattingConverter[ILoggingEvent]
Inherited from Converter[ILoggingEvent]
Inherited from AnyRef
Inherited from Any
A logback converter generating colored, lower-case level names.
Used for example as:


Laravel is a web application framework with expressive, elegant syntax. We believe development must be an enjoyable and creative experience to be truly fulfilling. Laravel takes the pain out of development by easing common tasks used in many web projects, such as:
Laravel is accessible, powerful, and provides tools required for large, robust applications.
Laravel has the most extensive and thorough documentation and video tutorial library of all modern web application frameworks, making it a breeze to get started with the framework.
If you don't feel like reading, Laracasts can help. Laracasts contains over 1500 video tutorials on a range of topics including Laravel, modern PHP, unit testing, and JavaScript. Boost your skills by digging into our comprehensive video library.
We would like to extend our thanks to the following sponsors for funding Laravel development. If you are interested in becoming a sponsor, please visit the Laravel Patreon page.
Thank you for considering contributing to the Laravel framework! The contribution guide can be found in the Laravel documentation.
In order to ensure that the Laravel community is welcoming to all, please review and abide by the Code of Conduct.
If you discover a security vulnerability within Laravel, please send an e-mail to Taylor Otwell via<EMAIL_ADDRESS>All security vulnerabilities will be promptly addressed.
The Laravel framework is open-sourced software licensed under the MIT license.


Button icons Button - Icon Button Icon Filled Neutral medium action medium disabled large action large disabled Code example:


BLOW DRY RATING: 3/10
For more reviews and movie news, visit http://www.joblo.com/
PLOT: A renowned British hairdressing competition is coming to a small town and the local barber is iffy about hopping aboard. That is, until his son and ex-wife get together and convince the man to join. And for kicks, his old hairdressing nemesis is also entered into the tournament. Sounds kooky, right? Well, his ex-wife is dying of cancer and she left him for another woman a few years back. Have a blast!
CRITIQUE: It seems as though every other year, the Brits slap a cute, quirky, small town comedy into our theatres and into our hearts and as that same time of year rolls around again this year, well...this movie is definitely not it!  The film lacks any real emotional narrative drive, falls flat on way too many supposed jokes (although I couldn't really tell if they were supposed to be funny sometimes, but I think colored sheep are supposed to be, right?), has a very boring soundtrack featuring tunes decades old and just seemed about 15 years past its prime. The only semi-redeeming quality of the film is its actors, but even this eccentric bunch couldn't save this oddly fashioned movie screenplay. Here's a film which tries to mix a woman dying of cancer, a quirky hair contest, a lesbian couple dealing with past infidelities and a teen romance all in one big pot, but none of it seems sincere, interesting or fresh. In fact, there really isn't one thing in this movie that isn't easily forecast about three scenes before it happens.
 It isn't bad enough that the film hasn't properly characterized the folks in the movie for us to care about, but couldn't they at least have made them more interesting? There's no panache here...zero! They should've taken some lessons from all of the fun characters designed for a similar type of film named BEST OF SHOW from last year. I mean c'mon, sure I was impressed by Josh Hartnett's accent (although I have no idea if it was locally accurate or not-"Mum!"), but couldn't the kid also been given an actual personality to boot? (mind you, his "bedhair" remained intact) Or how about giving Alan Rickman more to do than just stare at the screen and feel sorry for himself? And is Rachael Leigh Cook ever going to develop into anything more than an adorable little face on the big screen? I sure hope so. In the end, the film falters the most in its inability to effectively balance its humor and drama, and ends up being too emotional when it shouldn't be, and not funny enough, when it should be. The best thing for this film would have been for it to be released as a straight-out comedy or a straight-out drama, but this shot in the dark was definitely not the way to go. Even a shot of Heidi Klum's bush couldn't save this puppy (and I ain't kidding about that!).
Where's JoBlo coming from? Best in Show (8/10) - Chocolat (6/10) - The Gift (7/10) - Mystery, Alaska (8/10) - Sliding Doors (7/10) - State and Main (7/10) - You Can Count on Me (8/10)
Little Known Facts about this film and its stars: Yipes! This film was written by none other than the screenwriter of the highly successful British comedy, THE FULL MONTY, Simon Beaufoy. I guess the second time around is not always a charm, eh? Actually, he has apparently been trying to distance himself away from this project (I could see why!), which is why the credits of this film actually read "Based on a screenplay by..." Actress Natasha Richardson is married to actor Liam Neeson. This film was originally titled NEVER BETTER.
Review Date: March 7, 2001 Director: Paddy Breathnach Writer: Simon Beaufoy Producers: Sydney Pollack and William Horberg Actors: Alan Rickman as Phil Natasha Richardson as Shelley Josh Hartnett as Brian Genre: Comedy/Drama Year of Release: 2001 ------------------------------------ JoBlo's Movie Emporium http://www.joblo.com/ ------------------------------------ (c) 2001 Berge Garabedian
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
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belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
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to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


EUR/USD Technical Analysis: Euro visits six-week lows, trades back up near 1.1000 handle
by Flavio Tosti- EUR/USD low volatility extends into Friday as the market stays stuck near the 1.1000 handle.
- The key level to beat for bears is the 1.0996 support.
EUR/USD daily chart
The euro/dollar currency pair is trading in a downtrend below its main daily simple moving averages (DMAs) in the daily chart. This Friday, the price dropped to six-week lows, on an intraday basis.
EUR/USD four-hour chart
EUR/USD is trading back near the 1.1000 handle as the market is reluctant to move down decisively. However, a daily close below the 1.0996 support level should open the doors to further losses towards the 1.0968 and 1.0916 levels, according to the Technical Confluences Indicator.
EUR/USD 30-minute chart
EUR/USD is trading below the main SMAs, suggesting a bearish bias in the near term. Resistance can be expected at the 1.1020 and 1.1048 levels. Further up lies the 1.1070 level.
Additional key levels
EUR/USD
| Overview | |
|---|---|
| Today last price | 1.1 |
| Today Daily Change | -0.0009 |
| Today Daily Change % | -0.08 |
| Today daily open | 1.1009 |
| Trends | |
|---|---|
| Daily SMA20 | 1.1049 |
| Daily SMA50 | 1.1041 |
| Daily SMA100 | 1.1078 |
| Daily SMA200 | 1.1167 |
| Levels | |
|---|---|
| Previous Daily High | 1.102 |
| Previous Daily Low | 1.0998 |
| Previous Weekly High | 1.1098 |
| Previous Weekly Low | 1.1014 |
| Previous Monthly High | 1.118 |
| Previous Monthly Low | 1.0879 |
| Daily Fibonacci 38.2% | 1.1011 |
| Daily Fibonacci 61.8% | 1.1006 |
| Daily Pivot Point S1 | 1.0998 |
| Daily Pivot Point S2 | 1.0987 |
| Daily Pivot Point S3 | 1.0976 |
| Daily Pivot Point R1 | 1.102 |
| Daily Pivot Point R2 | 1.1031 |
| Daily Pivot Point R3 | 1.1042 |


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Converting an SQLite database to PostgreSQL
Using the same base code/files, the Todo Flask app now works for PostgreSQL using pysopg2....
-
Building a Todo App with Flask in Python
Step one: running python3 instead of python2. alias python=python3 Step one complete. Next: Creating and...
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Publishing Changes to the Site
Minor documentation, mostly for my own purposes, of various commands used to create and publish...


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Rock Event Registration Emails


In this example we will show how to write simple things with just ng-directives (native angular directives).