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F U N D I N G B U S I N E S S A D V I C E F I N A N C I A L M E N T O R S H I P

F U N D I N G B U S I N E S S A D V I C E F I N A N C I A L M E N T O R S H I P

Is a live pitching event where entrepreneurs from 6 different industries pitch within their respective categories, against four other startups for an opportunity to win cash prizes to th[r]

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A Classification Method for Japanese Signs Using Manual Motion Descriptions

A Classification Method for Japanese Signs Using Manual Motion Descriptions

A CLASSIFICATION METHOD FOR JAPANESE SIGNS USING MANUAL MOTION DESCRIPTIONS A C L A S S I F I C A T I O N M E T H O I ) F O R J A P A N E S E S I G N S U S I N G M A N U A L M O T I O N D E S C R I P[.]

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T h e U S V i r g i n I s l a n d s t h e p e r f e c t c o c k t a i l o f s t u n n i n g

T h e U S V i r g i n I s l a n d s t h e p e r f e c t c o c k t a i l o f s t u n n i n g

<p>After a refreshing morning swim, enjoy your breakfast as the yacht cruises round to the beautifully protected anchorage of Water Lemon Bay. The small cay just off the beach is teeming with marine life for you to record on your Go Pros as you snorkel amongst it. Stop and get a feel for old colonial times at the ruins of the Annaberg Sugar Plantation as you follow the coastline along the Leinster hiking trail, taking in the wonderful views all around you en route or do some beachcombing along the shoreline. Watch the sun sink down with your favourite cocktail in hand or take a sunset cruise on the paddleboards. Relax in the jacuzzi with your after dinner drinks as the perfect end to the day.</p>
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Definiteness Predictions for Japanese Noun Phrases

Definiteness Predictions for Japanese Noun Phrases

Definiteness Predictions for Japanese Noun Phrases D e f i n i t e n e s s P r e d i c t i o n s for J a p a n e s e N o u n P h r a s e s * J u l i a E H e i n e C o m p u t e r l i n g u i s t i k U[.]

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LHIP: Extended DCGs for Configurable Robust Parsing

LHIP: Extended DCGs for Configurable Robust Parsing

LHIP Extended DCGs for Configurable Robust Parsing L H I P E x t e n d e d D C G s for C o n f i g n r a b l e R o b u s t Parsing* A f z a l B a ] l i m G r a h a m R u s s e l l I S S C O , U n i v[.]

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Sequencing in a Connectionist Model of Language Processing

Sequencing in a Connectionist Model of Language Processing

Sequencing in a Connectionist Model of Language Processing S e q u e n c i n g i n a C o n n e c t i o n i s t M o d e l o f L a n g u a g e P r o c e s s i n g I M i c h a e l G A S S E R 2 M i c h a[.]

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Towards Robust PATR

Towards Robust PATR

Towards Robust PATR T o w a r d s R o b u s t P A T R S h o n a D o u g l a s * a n d R o b e r t D a l e t C e n t r e f o r C o g n i t i v e S c i e n c e U n i v e r s i t y o f E d i n b u r g h[.]

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I n d i a n a U n i v e r s i t y U n i v e r s i t y I n f o r m a t i o n T e c h n o l o g y S e r v i c e s

I n d i a n a U n i v e r s i t y U n i v e r s i t y I n f o r m a t i o n T e c h n o l o g y S e r v i c e s

This section estimates a confirmatory factor model using the polychoric correlation matrix in the presence of categorical manifest variables. Latent variables are assumed to represent continuous (not categorical) constructs. For illustration, original responses ranging from 1 to 3 were recoded as 1; those ranging from 4 to 7 were recoded as 2; and those ranging from 8 to 10 were recoded as 3. Forty observations with missing data are dropped in order to focus only on the problem of categorical outcome variables in the confirmatory factor model. The recoded data are stored into the SPSS file values_ord.sav (N=1,160) in the C:\temp\CFA directory. Values_full.sav (N=1,200) is also used to show how pairwise deletion usesas much information in the raw data file as possible.
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Predicting and Managing Spoken Disfluencies During Human Computer Interaction

Predicting and Managing Spoken Disfluencies During Human Computer Interaction

PREDICTING AND MANAGING SPOKEN DISFLUENCIES DURING HUMAN COMPUTER INTERACTION P R E D I C T I N G A N D M A N A G I N G S P O K E N D I S F L U E N C I E S D U R I N G H U M A N C O M P U T E R I N T[.]

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Local level politics in Uganda: institutional landscapes at the margins of the state

Local level politics in Uganda: institutional landscapes at the margins of the state

Local level Politics in U g a n d a Institutional Landscapes at the M a r g i n s of the B e n j a m i n J o n e s D e v e l o p m e n t S t u d i e s I n s t i t u t e L o n d o n S c h o o l of E c[.]

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On Inference Based Procedures for Lexical Disambiguation

On Inference Based Procedures for Lexical Disambiguation

On Inference Based Procedures for Lexical Disambiguation O n I n f e r e n c e B a s e d P r o c e d u r e s for L e x i c a l D i s a m b i g u a t i o n J i i r g e n W e d e k i n d I n s t i t u t[.]

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Head Driven Generation with HPSG

Head Driven Generation with HPSG

Head Driven Generation with HPSG H e a d D r i v e n G e n e r a t i o n w i t h H P S G G r a h a m W i l c o c k * C e n t r e f o r C o m p u t a t i o n a l L i n g u i s t i c s U n i v e r s i t[.]

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The discourse functions of Italian subjects: a centering approach

The discourse functions of Italian subjects: a centering approach

The discourse functions of Italian subjects a centering approach T h e d i s c o u r s e f u n c t i o n s o f I t a l i a n s u b j e c t s a c e n t e r i n g a p p r o a c h B a r b a r a D i E u g[.]

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Standing in the shadows: faith, homelessness and troubled lives

Standing in the shadows: faith, homelessness and troubled lives

Res earch has i nd i cat ed t h e t enuous posit ion hel d bet ween rel igion and spiri tualit y and soci al work wi thin the soci al s ervi ces of s ecul ariz ed nati ons (Furman et al., 2004) . Furm an believes ‘the increas e of ethni c minorit y reli gions in the UK has result ed in a new set of dem ands and problems for the s oci al s ervices ’ (p769). Reli gious adherence an d practice is far more common in m an y of the count ries outside the hi ghl y s ecul aris ed West, and this can caus e im mi grant groups issues when ‘m oved abruptl y from a Soci et y in which their rel igion was dominant and all pervasive to a soci et y where t he y form a sm all deviant minorit y’ (Bruce, 1995 p93) . Much of thi s lit erature ci t es the importance of s piri tuali t y i n peopl e’s lives, and in non -western countries most peopl e still have a reli gious outl ook and reli gi on is not separated from et hni cit y and cult ure (Pirouet, 2006 p167) . For a l arge and increasi ng number of s ervi ce us er s i n Bri tai n, reli gi on i s a basi c aspect of hum an experi ence, both withi n and outsi de t he cont ext of rel i gious insti tutions (P at el and Hum phri es, 1998) . ‘ To fail to pa y att enti on to reli gi ous identit y is, t hen, t o fail to pa y att enti on to an important pers onal identi fi er, as wel l as an import ant means of understa ndi ng and dealing wit h trauma ’ (Gozdzi ak and Shand y, 2002 p130). Stuart (2002) argues that reli gi on and s piritualit y are s o embedded in cul ture that s ocial work practice cannot cl aim t o be com pet ent i f it i gnores t his dim ens ion. Gill i gan and Furness (2006) found a need for s oci al work pract ice t o focus att enti on both on the importance of rel i gious and spi rit ual beli efs in the lives of m an y servi ce us ers and on the pot enti al useful nes s of reli gious and spi ritual intervent ions. J ohn Swinton (2001) too i ndi cat es t he im port ance of the Spirit ual dim ension:
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Lagrangian Models of the Dispersion of Airborne Chemically Reacting Contaminants

Lagrangian Models of the Dispersion of Airborne Chemically Reacting Contaminants

L A G R A N G I A N M O D E L S O F T H E D I S P E R S I O N O F A I R B O R N E C H E M I C A L L Y R E A C T I N G C O N T A M I N A N T S F a n g S L a i C H E M I C A L E N G I N E E R I N G L A[.]

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U N I V E R S I T Y O F C A L I F O R N I A S A N T A B A R B A R A T H E C O N V E R G E N C E O F E D U C A T I O N A N D E N G I N E E R I N G

U N I V E R S I T Y O F C A L I F O R N I A S A N T A B A R B A R A T H E C O N V E R G E N C E O F E D U C A T I O N A N D E N G I N E E R I N G

I’ve had two jobs on campus during my time here at UCSB, one was as resident assistant, where I was responsible for making sure that students have an enjoyable time living on campus. My other job is tutoring for the Campus Learning Assistance Services (CLAS), where they offer tutoring resources for most of the lower-division courses, including engineering, math, and science. I’ve learned the material so much better by teaching it to others that I feel like I am better prepared for my own upper division courses.

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Word Identification for Mandarin Chinese Sentences

Word Identification for Mandarin Chinese Sentences

WORD IDENTIFICATION FOR MANDARIN CHINESE SENTENCES W O R D I D E N T I F I C A T I O N F O R M A N D A R I N C I l I N E S E S E N T E N C E S Abstract K e h J i a n n C h e n S h i n g l l u a n L i[.]

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I D C M a n u f a c t u r i n g I n s i g h t s : A f t e r m a r k e t a n d S e r v i c e S t r a t e g i e s

I D C M a n u f a c t u r i n g I n s i g h t s : A f t e r m a r k e t a n d S e r v i c e S t r a t e g i e s

recently attained annual revenue exceeding $1 billion, and although the revenue from warranty systems accounts for a fraction of that, PTC is one of the largest and most tenured players in this market, with its 4CS bench strength. PTC's iWarranty implementations span across multiple industries, including automotive, farm, construction, industrial machinery, A&D, high tech, consumer products, and retail. Based on its scores in this IDC MarketScape, PTC is the only warranty software vendor positioned in the Leaders category.

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The interplay of institutional forces behind higher ICT education in India

The interplay of institutional forces behind higher ICT education in India

00001t jpg D e p a r t m e n t o f In f o r m a t i o n S y s t e m s L o n d o n S c h o o l o f E c o n o m i c s a n d P o l i t i c a l S c i e n c e T h e I n t e r p l a y o f I n s t i t u t i[.]

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Unsupervised Learning of a Rule based Spanish Part of Speech Tagger

Unsupervised Learning of a Rule based Spanish Part of Speech Tagger

Unsupervised Learning of a Rule based Spanish Part of Speech Tagger U n s u p e r v i s e d L e a r n i n g o f a R u l e b a s e d S p a n i s h P a r t o f S p e e c h T a g g e r C h i n a t s u A[.]

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