ELIZA

return kwic search for through out of >500 occurrences
437431 occurrences (No.38 in the rank) during 5 years in the PubMed. [no cache] 500 found

190) Some self-excluders (N = 306) can be tracked from the date their account was created through their self-exclusion history, indicating a large number of very quick self-exclusions (e.g., 25 % within a day) and a small set of serial self-excluders.

--- ABSTRACT ---

PMID:24276575 DOI:10.1007/s10899-013-9418-1

2015 Journal of gambling studies

* A descriptive analysis of demographic and behavioral data from Internet gamblers and those who self-exclude from online gambling platforms.

- As the popularity of internet gambling increases, the increased opportunities to participate serve to heighten concerns about the potential for gambling related harm. This paper focuses on self-exclusion as one of the main responsible gaming interventions, and is split into three sections. Firstly, we set out a three-tier model for assessing at-risk gambling behaviors which examines player exhibited, declared and inferred behavior. Secondly, we present a literature review relating to who self-excludes and whether self-exclusion is effective. Finally, we report the results of an analysis of the exhibited behavior of internet self-excluders as sampled from a research cohort of over 240,000 internet gaming accounts. Our analysis of self-excluders (N = 347) versus a control group (N = 871) of gamblers indicates self-excluders are younger than the control group, more likely to suffer losses and more likely to adopt riskier gambling positions. Unlike some previous studies, there was little difference in terms of mean gambling hours per month or minutes per session. Some self-excluders (N = 306) can be tracked from the date their account was created through their self-exclusion history, indicating a large number of very quick self-exclusions (e.g., 25 % within a day) and a small set of serial self-excluders. Younger and older males are likely to self-exclude faster than middle-aged males (N = 242), but there is no such age pattern across female self-excluders (N = 63).

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[frequency of next (right) word to through]

(1)113 the	(12)3 biological	(23)2 direct	(34)2 low
(2)51 a	(13)3 both	(24)2 evidence	(35)2 maternal
(3)11 an	(14)3 cortical	(25)2 focus	(36)2 paracrine
(4)10 which	(15)3 histological	(26)2 four	(37)2 promoting
(5)5 their	(16)3 infancy	(27)2 human	(38)2 rat
(6)4 activation	(17)3 interaction	(28)2 information,	(39)2 reward
(7)4 its	(18)3 simulation	(29)2 inhibition	(40)2 skin
(8)4 median	(19)2 2012	(30)2 interactions	(41)2 such
(9)4 three	(20)2 August	(31)2 international	(42)2 these
(10)4 use	(21)2 PCR-based	(32)2 intersection
(11)3 analysis	(22)2 different	(33)2 interviews

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--- WordNet output for through --- =>直通の, のために, の間じゅう, 終わって, を貫いて, の中を通って, のいたるところに, を通じて Overview of adj through The adj through has 2 senses (first 1 from tagged texts) 1. (4) done, through, through with -- (having finished or arrived at completion; "certain to make history before he's done"; "it's a done deed"; "after the treatment, the patient is through except for follow-up"; "almost through with his studies") 2. through -- ((of a route or journey etc.) continuing without requiring stops or changes; "a through street"; "a through bus"; "through traffic") Overview of adv through The adv through has 5 senses (first 3 from tagged texts) 1. (5) through -- (from beginning to end; "read this book through") 2. (2) through -- (over the whole distance; "this bus goes through to New York") 3. (1) through -- (to completion; "think this through very carefully!") 4. through -- (in diameter; "this cylinder measures 15 inches through") 5. through, through and through -- (throughout the entire extent; "got soaked through in the rain"; "I'm frozen through"; "a letter shot through with the writer's personality"; "knew him through and through"; "boards rotten through and through") --- WordNet end ---