This book constitutes the thoroughly refereed joint post-proceedings of three international workshops organized by the Japanese Society for Artificial Intelligence, held in Tokyo, Japan in June 2006 during the 20th Annual Conference JSAI 2006. The volume starts with eight award winning papers of the JSAI 2006 main conference that are presented along with the 21 revised full workshop papers, carefully reviewed and selected for inclusion in the volume.

ObjectivesThe purpose of the current study was to examine whether a self-report measure identifies prenatal substance use and predicts resulting adverse birth outcomes in a large cohort using electronic medical records.MethodsPregnant patients who were admitted between 2014 and 2015 at Christiana Care Health System and delivered singleton birth were included in the analyses. Participant demographic information, pregnancy comorbidities, self-reported substance use, and birth outcomes were retrieved from electronic medical records. Detailed descriptive analyses of prenatal substance use were conducted, and logistic (...) models were evaluated for the associations between substance use and each birth outcome.ResultsThe average maternal age was 30 years, 37% receiving Medicaid. Over 58% were White, 26% were Black, and 13% were Hispanic. Cigarette smoking only showed the highest prevalence among substance u... (shrink)

Background This paper examines the degree of agreement among simple dichotomous self-report, validated screening results, and biochemical screening results of prenatal alcohol and other drug use among pregnant women. Method Secondary analysis was conducted on a cohort of pregnant women 16 years or older, presenting for prenatal care in the greater Cape Town, South Africa. Dichotomous verbal screening is a standard of care, and pregnant patients reporting alcohol and other drug use in dichotomous verbal screenings were asked to engage in (...) screening using the Alcohol Smoking and Substance Involvement Screening Test and urinalysis. Results Significant agreements between dichotomous and ASSIST scores were observed. A higher rate of self-reported alcohol use was detected, relative to urine screening with a predictive value of 34.9; while underreporting of illicit substance use was observed with an overall predictive value of 50.0. Conclusion Dichotomous verbal screening was considered valid after comparison with the ASSIST; however, combined use with urine screenings can be recommended especially for identifying illicit substance use in order to accurately detect alcohol and other drug use in pregnancy, so that women can be identified and referred for appropriate interventions where needed. (shrink)

In this squib, I evaluate the contradiction analysis (Abrusán in Natural Language Semantics 19(3):257–321, 2011, in Weak island semantics, 2014 ) and the necessary infelicity analysis (Oshima in Washio et al. (eds.), New frontiers in artificial intelligence, 2007 ; Schwarz and Simonenko in Natural Language Semantics 26(3–4):253–279, 2018b ) of factive islands in light of a pattern that has not been previously discussed in the literature: questions about propositions. I argue that while the necessary infelicity approach can straightforwardly explain (...) the acceptability of this kind of question, the contradiction account undergenerates, since it wrongly predicts their ungrammaticality. I claim that this prediction follows from the assumption that the domain of quantification contains contraries. Therefore, the main contribution of this squib is the observation that such an assumption cannot play an explanatory role in accounting for factive islands. (shrink)