Sex Differences in Self-Estimation of Multiple Intelligences among Portuguese Adolescents

ERIC Educational Resources Information Center

Neto, Felix; Ruiz, Fatima; Furnham, Adrian

2008-01-01

This study investigated the relationship among sex, attitude toward intelligence, and self-estimation of multiple intelligences for self and parents among Portuguese adolescents in secondary schools. Two hundred and forty-two adolescents estimated their own and their parents' IQ scores on each of Gardner's 10 multiple intelligences: verbal…

Gender and gender role differences in self- and other-estimates of multiple intelligences.

PubMed

Szymanowicz, Agata; Furnham, Adrian

2013-01-01

This study examined participant gender and gender role differences in estimates of multiple intelligences for self, partner, and various hypothetical, stereotypical, and counter-stereotypical target persons. A general population sample of 261 British participants completed one of four questionnaires that required them to estimate their own and others' multiple intelligences and personality traits. Males estimated their general IQ slightly, but mathematic IQ significantly higher than females, who rated their social and emotional intelligence higher than males. Masculine individuals awarded themselves somewhat higher verbal and practical IQ scores than did female participants. Both participant gender and gender role differences in IQ estimates were found, with gender effects stronger in cognitive and gender role than in "personal" ability estimates. There was a significant effect of gender role on hypothetical persons' intelligence evaluations, with masculine targets receiving significantly higher intelligence estimates compared to feminine targets. More intelligent hypothetical figures were judged as more masculine and less feminine than less intelligent ones.

Gender and Gender Role Differences in Self- and Other-Estimates of Multiple Intelligences

PubMed Central

Szymanowicz, Agata

2013-01-01

This study examined participant gender and gender role differences in estimates of multiple intelligences for self, partner, and various hypothetical, stereotypical, and counter-stereotypical target persons. A general population sample of 261 British participants completed one of four questionnaires that required them to estimate their own and others’ multiple intelligences and personality traits. Males estimated their general IQ slightly, but mathematic IQ significantly higher than females, who rated their social and emotional intelligence higher than males. Masculine individuals awarded themselves somewhat higher verbal and practical IQ scores than did female participants. Both participant gender and gender role differences in IQ estimates were found, with gender effects stronger in cognitive and gender role than in “personal” ability estimates. There was a significant effect of gender role on hypothetical persons’ intelligence evaluations, with masculine targets receiving significantly higher intelligence estimates compared to feminine targets. More intelligent hypothetical figures were judged as more masculine and less feminine than less intelligent ones. PMID:23951949

Gender, "g", and Fixed versus Growth Intelligence Mindsets as Predictors of Self-Estimated Domain Masculine Intelligence (DMIQ)

ERIC Educational Resources Information Center

Storek, Josephine; Furnham, Adrian

2013-01-01

Over 120 participants completed three timed intelligence tests, a self-estimated Domain Masculine (DMIQ) Intelligence scale, and a mindset "beliefs about intelligence" measure (Dweck, 2012) to examine correlates of the Hubris-Humility Effect (HHE) which shows males believe they are more intelligent than females. As predicted males gave…

NOAA's National Water Model - Integration of National Water Model with Geospatial Data creating Water Intelligence

NASA Astrophysics Data System (ADS)

Clark, E. P.; Cosgrove, B.; Salas, F.

2016-12-01

As a significant step forward to transform NOAA's water prediction services, NOAA plans to implement a new National Water Model (NWM) Version 1.0 in August 2016. A continental scale water resources model, the NWM is an evolution of the WRF-Hydro architecture developed by the National Center for Atmospheric Research (NCAR). The NWM will provide analyses and forecasts of flow for the 2.7 million stream reaches nationwide in the National Hydrography Dataset Plus v2 (NHDPlusV2) jointly developed by the USGS and EPA. The NWM also produces high-resolution water budget variables of snow, soil moisture, and evapotranspiration on a 1-km grid. NOAA's stakeholders require additional decision support application to be built on these data. The Geo-intelligence division of the Office of Water Prediction is building new products and services that integrate output from the NWM with geospatial datasets such as infrastructure and demographics to better estimate the impacts dynamic water resource states on community resiliency. This presentation will detail the methods and underlying information to produce prototypes water resources intelligence that is timely, actionable and credible. Moreover, it will to explore the NWM capability to support sector-specific decision support services.

Intelligence and Physical Attractiveness

ERIC Educational Resources Information Center

Kanazawa, Satoshi

2011-01-01

This brief research note aims to estimate the magnitude of the association between general intelligence and physical attractiveness with large nationally representative samples from two nations. In the United Kingdom, attractive children are more intelligent by 12.4 IQ points (r=0.381), whereas in the United States, the correlation between…

Estimation of the intelligence quotient using Wechsler Intelligence Scales in children and adolescents with Asperger syndrome.

PubMed

Merchán-Naranjo, Jessica; Mayoral, María; Rapado-Castro, Marta; Llorente, Cloe; Boada, Leticia; Arango, Celso; Parellada, Mara

2012-01-01

Asperger syndrome (AS) patients show heterogeneous intelligence profiles and the validity of short forms for estimating intelligence has rarely been studied in this population. We analyzed the validity of Wechsler Intelligence Scale (WIS) short forms for estimating full-scale intelligence quotient (FSIQ) and assessing intelligence profiles in 29 AS patients. Only the Information and Block Design dyad meets the study criteria. No statistically significant differences were found between dyad scores and FSIQ scores (t(28) = 1.757; p = 0.09). The dyad has a high correlation with FSIQ, good percentage of variance explained (R(2) = 0.591; p < 0.001), and high consistency with the FSIQ classification (χ(2)(36) = 45.202; p = 0.14). Short forms with good predictive accuracy may not be accurate in clinical groups with atypical cognitive profiles such as AS patients.

National Geospatial-Intelligence Agency Academic Research Program

NASA Astrophysics Data System (ADS)

Loomer, S. A.

2004-12-01

"Know the Earth.Show the Way." In fulfillment of its vision, the National Geospatial-Intelligence Agency (NGA) provides geospatial intelligence in all its forms and from whatever source-imagery, imagery intelligence, and geospatial data and information-to ensure the knowledge foundation for planning, decision, and action. To achieve this, NGA conducts a multi-disciplinary program of basic research in geospatial intelligence topics through grants and fellowships to the leading investigators, research universities, and colleges of the nation. This research provides the fundamental science support to NGA's applied and advanced research programs. The major components of the NGA Academic Research Program (NARP) are: - NGA University Research Initiatives (NURI): Three-year basic research grants awarded competitively to the best investigators across the US academic community. Topics are selected to provide the scientific basis for advanced and applied research in NGA core disciplines. - Historically Black College and University - Minority Institution Research Initiatives (HBCU-MI): Two-year basic research grants awarded competitively to the best investigators at Historically Black Colleges and Universities, and Minority Institutions across the US academic community. - Director of Central Intelligence Post-Doctoral Research Fellowships: Fellowships providing access to advanced research in science and technology applicable to the intelligence community's mission. The program provides a pool of researchers to support future intelligence community needs and develops long-term relationships with researchers as they move into career positions. This paper provides information about the NGA Academic Research Program, the projects it supports and how other researchers and institutions can apply for grants under the program.

Estimates of emotional and psychometric intelligence: evidence for gender-based stereotypes.

PubMed

Petrides, K V; Furnham, Adrian; Martin, G Neil

2004-04-01

The authors examined participants' estimates of own and parental psychometric intelligence (IQ) and emotional intelligence (EI). The authors asked 224 participants (82 men, 138 women, 4 people who did not report their gender) to estimate their own and their parents' IQ and EI scores on a normal distribution ranging from 55 to 145 points. The authors hypothesized that men would give higher IQ but lower EI self-estimates than women and that participants, regardless of gender, would rate their fathers as higher on IQ but lower on EI than their mothers. The results confirmed the hypotheses, supporting the view that people perceive psychometric intelligence as a primarily masculine attribute in contrast with emotional intelligence, which they perceive as a primarily feminine attribute. The results also showed that the intensity of the stereotypical perception of EI as a feminine attribute diminished when the authors asked participants to estimate their scores on a range of specific EI facets instead of providing a direct overall self-estimate.

75 FR 49946 - National Drug Intelligence Center: Agency Information Collection Activities: Proposed Extension...

Federal Register 2010, 2011, 2012, 2013, 2014

2010-08-16

... DEPARTMENT OF JUSTICE [OMB Number 1105-0087] National Drug Intelligence Center: Agency Information...), National Drug Intelligence Center (NDIC), will be submitting the following information collection request... Kevin M. Walker, General Counsel, National Drug Intelligence Center, Fifth Floor, 319 Washington Street...

Parents think their sons are brighter than their daughters: sex differences in parental self-estimations and estimations of their children's multiple intelligences.

PubMed

Furnham, Adrian; Reeves, Emma; Budhani, Salima

2002-03-01

In this study, 156 participants, predominantly White British adults (M age = 44.3 years) rated themselves on overall IQ and on H. Gardner's (1983) 7 intelligence subtypes. Parents (n = 120) also estimated the intelligence of their children. Men's self-estimates were significantly higher than women's (110.15 vs. 104.84). Participants thought their verbal, mathematical, and spatial intelligence scores were the best indicators of their own overall intelligence. Parents estimated that their sons had significantly higher IQs than their daughters (115.21 vs. 107.49). Self-estimates and estimates of children's multiple intelligences were higher for men and sons, significantly so for logical-mathematical and spatial intelligence. Parents rated 2nd-born daughters as having significantly higher verbal and musical intelligence than their male counterparts. Higher parental IQ self-estimates corresponded with higher IQ estimates for children. Results for 1st-born children were clearest and showed the most significant differences. The findings are interpreted in terms of sociocultural and familial influences and the possibility of actual sex differences in particular abilities.

National Intelligence and Personality: Their Relationships and Impact on National Economic Success

ERIC Educational Resources Information Center

Stolarski, Maciej; Zajenkowski, Marcin; Meisenberg, Gerhard

2013-01-01

The relationships between national personality traits and intelligence from 51 countries were examined. It was found that extraversion, openness to experience and agreeableness measured at the national level were significantly and positively correlated with national IQs; however, in the regression model only the former two were marginally…

75 FR 28786 - Federal Advisory Committee; National Defense Intelligence College Board of Visitors; Closed Meeting

Federal Register 2010, 2011, 2012, 2013, 2014

2010-05-24

... Intelligence College Board of Visitors; Closed Meeting AGENCY: Defense Intelligence Agency, National Defense Intelligence College, DoD. ACTION: Notice of closed meeting. SUMMARY: Pursuant to the provisions of subsection... hereby given that a closed meeting of the Defense Intelligence Agency, National Defense Intelligence...

Estimates of Self, Parental and Partner Multiple Intelligences in Iran: A replication and extension.

PubMed

Furnham, Adrian; Kosari, Afrooz; Swami, Viren

2012-01-01

Two hundred and fifty-eight Iranian university students estimated their own, parents', and partners' overall (general) intelligence, and also estimated 13 'multiple intelligences' on a simple, two-page questionnaire which was previously used in many similar studies. In accordance with previous research, men rated themselves higher than women on logical-mathematical, spatial and musical intelligence. There were, however, no sex differences in ratings of parental and partner multiple intelligences, which is inconsistent with the extant literature. Participants also believed that they were more intelligent than their parents and partners, and that their fathers were more intelligent than their mothers. Multiple regressions indicated that participants' Big Five personality typologies and test experience were significant predictors of self-estimated intelligence. These results are discussed in terms of the cross-cultural literature in the field. Implications of the results are also considered.

The National Adult Reading Test: restandardisation against the Wechsler Adult Intelligence Scale-Fourth edition.

PubMed

Bright, Peter; Hale, Emily; Gooch, Vikki Jayne; Myhill, Thomas; van der Linde, Ian

2018-09-01

Since publication in 1982, the 50-item National Adult Reading Test (NART; Nelson, 1982; NART-R; Nelson & Willison, 1991) has remained a widely adopted method for estimating premorbid intelligence both for clinical and research purposes. However, the NART has not been standardised against the most recent revisions of the Wechsler Adult Intelligence Scale (WAIS-III; Wechsler, 1997, and WAIS-IV; Wechsler, 2008). Our objective, therefore, was to produce reliable standardised estimates of WAIS-IV IQ from the NART. Ninety-two neurologically healthy British adults were assessed and regression equations calculated to produce population estimates of WAIS-IV full-scale IQ (FSIQ) and constituent index scores. Results showed strong NART/WAIS-IV FSIQ correlations with more moderate correlations observed between NART error and constituent index scores. FSIQ estimates were closely similar to the published WAIS and WAIS-R estimates at the high end of the distribution, but at the lower end were approximately equidistant from the highly discrepant WAIS (low) and WAIS-R (high) values. We conclude that the NART is likely to remain an important tool for estimating the impact of neurological damage on general cognitive ability. We advise caution in the use of older published WAIS and/or WAIS-R estimates for estimating premorbid WAIS-IV FSIQ, particularly for those with low NART scores.

3 CFR - Designation of Officers of the Office of the Director of National Intelligence To Act as Director...

Code of Federal Regulations, 2014 CFR

2014-01-01

... Director of National Intelligence To Act as Director of National Intelligence Presidential Documents Other... of National Intelligence To Act as Director of National Intelligence Memorandum for the Director of National Intelligence By the authority vested in me as President by the Constitution and the laws of the...

Estimates of self, parental, and partner multiple intelligence and their relationship with personality, values, and demographic variables: a study in Britain and France.

PubMed

Swami, Viren; Furnham, Adrian; Zilkha, Susan

2009-11-01

In the present study, 151 British and 151 French participants estimated their own, their parents' and their partner's overall intelligence and 13 'multiple intelligences.' In accordance with previous studies, men rated themselves as higher on almost all measures of intelligence, but there were few cross-national differences. There were also important sex differences in ratings of parental and partner intelligence. Participants generally believed they were more intelligent than their parents but not their partners. Regressions indicated that participants believed verbal, logical-mathematical, and spatial intelligence to be the main predictors of intelligence. Regressions also showed that participants' Big Five personality scores (in particular, Extraversion and Openness), but not values or beliefs about intelligence and intelligences tests, were good predictors of intelligence. Results were discussed in terms of the influence of gender-role stereotypes.

3 CFR - Designation of Officers of the Office of the Director of National Intelligence To Act as Director...

Code of Federal Regulations, 2012 CFR

2012-01-01

... Director of National Intelligence To Act as Director of National Intelligence Presidential Documents Other... National Intelligence To Act as Director of National Intelligence Memorandum for the Director of National Intelligence By the authority vested in me as President by the Constitution and the laws of the United States...

75 FR 16853 - Office of the Director of National Intelligence; Privacy Act of 1974; System of Records

Federal Register 2010, 2011, 2012, 2013, 2014

2010-04-02

... OFFICE OF THE DIRECTOR OF NATIONAL INTELLIGENCE Office of the Director of National Intelligence; Privacy Act of 1974; System of Records AGENCY: Office of the Director of National Intelligence. ACTION: Notice to establish systems of records. SUMMARY: The Office of the Director of National Intelligence...

Estimates of Self, Parental and Partner Multiple Intelligences in Iran: A replication and extension

PubMed Central

Kosari, Afrooz; Swami, Viren

2012-01-01

Two hundred and fifty-eight Iranian university students estimated their own, parents’, and partners’ overall (general) intelligence, and also estimated 13 ‘multiple intelligences’ on a simple, two-page questionnaire which was previously used in many similar studies. In accordance with previous research, men rated themselves higher than women on logical-mathematical, spatial and musical intelligence. There were, however, no sex differences in ratings of parental and partner multiple intelligences, which is inconsistent with the extant literature. Participants also believed that they were more intelligent than their parents and partners, and that their fathers were more intelligent than their mothers. Multiple regressions indicated that participants’ Big Five personality typologies and test experience were significant predictors of self-estimated intelligence. These results are discussed in terms of the cross-cultural literature in the field. Implications of the results are also considered. PMID:22952548

Estimating self, parental, and partner multiple intelligences: a replication in Malaysia.

PubMed

Swami, Viren; Furnham, Adrian; Kannan, Kumaraswami

2006-12-01

Participants were 230 adult Malaysians who estimated their own, their parents', and their partners' overall IQs and 10 multiple intelligences. In accordance with both the previous literature and the authors' hypotheses, men rated themselves higher than did women on overall, verbal, logical-mathematical, and spatial intelligences. There were fewer gender differences in ratings of parents and in those of partners. Participants believed that they were more intelligent than both parents (but not their partners) and that their fathers were more intelligent than their mothers. Regressions indicated that participants believed that verbal intelligence and--to a lesser extent--logical-mathematical intelligence were the main predictors of overall intelligence. The authors discussed results in terms of the extant cross-cultural literature in the field.

Sex differences in parents' estimations of their own and their children's multiple intelligences: a Portuguese replication.

PubMed

Neto, Félix; Furnham, Adrian

2011-05-01

In this study, 148 Portuguese adults (M = 45.4 years) rated themselves and their children on overall IQ and on H. Gardner (1999) 10 intelligence subtypes. Men's self-estimates were not significantly higher than women's on any of the 11 estimates. The results were in line with previous studies, in that both sexes rated the overall intelligence of their first male children higher than the first female children. Higher parental IQ self-estimates correspond with higher IQ estimates for children. Globally parents estimated that their sons had significantly higher IQs than their daughters. In particular, parents rated their son's spiritual intelligence higher than those of their daughters. Children's age and sex, and parents' age and sex were all non-significant predictors of the overall "g" score estimates of the first two children. Participants thought verbal, mathematical, and spatial intelligence were the best indicators of the overall intelligence for self and children. There were no sex differences in experience of, or attitudes towards, intelligence testing. Results are discussed in terms of the growing literature in the self-estimates of intelligence, as well as limitations of that approach.

32 CFR 1701.24 - Exemption of Office of the Director of National Intelligence (ODNI) systems of records.

Code of Federal Regulations, 2012 CFR

2012-07-01

... Intelligence (ODNI) systems of records. 1701.24 Section 1701.24 National Defense Other Regulations Relating to National Defense OFFICE OF THE DIRECTOR OF NATIONAL INTELLIGENCE ADMINISTRATION OF RECORDS UNDER THE... Director of National Intelligence (ODNI) systems of records. (a) The ODNI exempts the following systems of...

32 CFR 1701.24 - Exemption of Office of the Director of National Intelligence (ODNI) systems of records.

Code of Federal Regulations, 2011 CFR

2011-07-01

... Intelligence (ODNI) systems of records. 1701.24 Section 1701.24 National Defense Other Regulations Relating to National Defense OFFICE OF THE DIRECTOR OF NATIONAL INTELLIGENCE ADMINISTRATION OF RECORDS UNDER THE... Director of National Intelligence (ODNI) systems of records. (a) The ODNI exempts the following systems of...

32 CFR 1701.24 - Exemption of Office of the Director of National Intelligence (ODNI) systems of records.

Code of Federal Regulations, 2013 CFR

2013-07-01

... Intelligence (ODNI) systems of records. 1701.24 Section 1701.24 National Defense Other Regulations Relating to National Defense OFFICE OF THE DIRECTOR OF NATIONAL INTELLIGENCE ADMINISTRATION OF RECORDS UNDER THE... Director of National Intelligence (ODNI) systems of records. (a) The ODNI exempts the following systems of...

32 CFR 1701.24 - Exemption of Office of the Director of National Intelligence (ODNI) systems of records.

Code of Federal Regulations, 2014 CFR

2014-07-01

... Intelligence (ODNI) systems of records. 1701.24 Section 1701.24 National Defense Other Regulations Relating to National Defense OFFICE OF THE DIRECTOR OF NATIONAL INTELLIGENCE ADMINISTRATION OF RECORDS UNDER THE... Director of National Intelligence (ODNI) systems of records. (a) The ODNI exempts the following systems of...

Cape Cod National Seashore intelligent transportation systems implementation plan: final report

DOT National Transportation Integrated Search

2011-03-18

The Volpe National Transportation Systems Center (Volpe Center) is providing technical support to the Cape Cod National Seashore in the planning of an Intelligent Transportation System (ITS). In collaboration with the Cape Cod Commission, National Se...

76 FR 13499 - Designation of Officers of the Office of the Director of National Intelligence To Act as Director...

Federal Register 2010, 2011, 2012, 2013, 2014

2011-03-11

... Officers of the Office of the Director of National Intelligence To Act as Director of National Intelligence Memorandum for the Director of National Intelligence By the authority vested in me as President by the... and 4 of this memorandum, the officers of the Office of the Director of National Intelligence named in...

Wechsler Adult Intelligence Scale-IV Dyads for Estimating Global Intelligence.

PubMed

Girard, Todd A; Axelrod, Bradley N; Patel, Ronak; Crawford, John R

2015-08-01

All possible two-subtest combinations of the core Wechsler Adult Intelligence Scale-IV (WAIS-IV) subtests were evaluated as possible viable short forms for estimating full-scale IQ (FSIQ). Validity of the dyads was evaluated relative to FSIQ in a large clinical sample (N = 482) referred for neuropsychological assessment. Sample validity measures included correlations, mean discrepancies, and levels of agreement between dyad estimates and FSIQ scores. In addition, reliability and validity coefficients were derived from WAIS-IV standardization data. The Coding + Information dyad had the strongest combination of reliability and validity data. However, several other dyads yielded comparable psychometric performance, albeit with some variability in their particular strengths. We also observed heterogeneity between validity coefficients from the clinical and standardization-based estimates for several dyads. Thus, readers are encouraged to also consider the individual psychometric attributes, their clinical or research goals, and client or sample characteristics when selecting among the dyadic short forms. © The Author(s) 2014.

Self Estimates of General, Crystallized, and Fluid Intelligences in an Ethnically Diverse Population

ERIC Educational Resources Information Center

Kaufman, James C.

2012-01-01

Self-estimated intelligence is a quick way to assess people's conceptions of their own abilities. Furnham (2001) and colleagues have used this technique to make comparisons across culture and gender and different approaches to intelligence (such as "g" or Multiple Intelligences). This study seeks to build on past work in two ways. First, a large,…

National ITS Program Plan, Intelligent Transportation Systems, Synopsis

DOT National Transportation Integrated Search

THE PURPOSE OF THE NATIONAL ITS PROGRAM PLAN IS TO GUIDE THE DEVELOPMENT AND DEPLOYMENT OF INTELLIGENT TRANSPORTATION SYSTEMS (ITS) IN THE UNITED STATES. THIS, THE FIRST EDITION OF THE PLAN WAS A JOINT EFFORT OF ITS AMERICA AND THE UNITED STATES DEPA...

Academic research opportunities at the National Geospatial-Intelligence Agency(NGA)

NASA Astrophysics Data System (ADS)

Loomer, Scott A.

2006-05-01

The vision of the National Geospatial-Intelligence Agency (NGA) is to "Know the Earth...Show the Way." To achieve this vision, the NGA provides geospatial intelligence in all its forms and from whatever source-imagery, imagery intelligence, and geospatial data and information-to ensure the knowledge foundation for planning, decision, and action. Academia plays a key role in the NGA research and development program through the NGA Academic Research Program. This multi-disciplinary program of basic research in geospatial intelligence topics provides grants and fellowships to the leading investigators, research universities, and colleges of the nation. This research provides the fundamental science support to NGA's applied and advanced research programs. The major components of the NGA Academic Research Program are: *NGA University Research Initiatives (NURI): Three-year basic research grants awarded competitively to the best investigators across the US academic community. Topics are selected to provide the scientific basis for advanced and applied research in NGA core disciplines. *Historically Black College and University - Minority Institution Research Initiatives (HBCU-MI): Two-year basic research grants awarded competitively to the best investigators at Historically Black Colleges and Universities, and Minority Institutions across the US academic community. *Intelligence Community Post-Doctoral Research Fellowships: Fellowships providing access to advanced research in science and technology applicable to the intelligence community's mission. The program provides a pool of researchers to support future intelligence community needs and develops long-term relationships with researchers as they move into career positions. This paper provides information about the NGA Academic Research Program, the projects it supports and how researchers and institutions can apply for grants under the program. In addition, other opportunities for academia to engage with NGA through

78 FR 59159 - Designation of Officers of the Office of the Director of National Intelligence To Act as Director...

Federal Register 2010, 2011, 2012, 2013, 2014

2013-09-25

... Designation of Officers of the Office of the Director of National Intelligence To Act as Director of National Intelligence Memorandum for the Director of National Intelligence By the authority vested in me as President by... Intelligence, in the order listed, shall act as and perform the functions and duties of the Director of...

An Alternative to the Computational Speech Intelligibility Index Estimates: Direct Measurement of Rectangular Passband Intelligibilities

ERIC Educational Resources Information Center

Warren, Richard M.; Bashford, James A., Jr.; Lenz, Peter W.

2011-01-01

The need for determining the relative intelligibility of passbands spanning the speech spectrum has been addressed by publications of the American National Standards Institute (ANSI). When the Articulation Index (AI) standard (ANSI, S3.5, 1969, R1986) was developed, available filters confounded passband and slope contributions. The AI procedure…

The State of Intelligent Transportation Systems in the National Park System.

DOT National Transportation Integrated Search

2001-05-25

This paper was written to provide basic information in advance of the National Workshop to : Develop an Intelligent Transportation Systems Program Strategy for the National Park : Service, June 19-20, 2001, to be held at the Central Federal Lan...

National ITS Program Plan Intelligent Transportation Systems Volume I

DOT National Transportation Integrated Search

1995-03-01

ADVANCED TRAVELER INFORMATION SYSTEMS OR ATIS : THE PURPOSE OF THE NATIONAL ITS PROGRAM PLAN IS TO GUIDE THE DEVELOPMENT AND DEPLOYMENT OF INTELLIGENT TRANSPORTATION SYSTEMS (ITS) IN THE UNITED STATES. THIS, THE FIRST EDITION OF THE PLAN WAS A JOINT ...

Estimating one's own and one's relatives' multiple intelligence: a cross-cultural study from East Timor and Portugal.

PubMed

Neto, Félix; Furnham, Adrian; Pinto, Maria da Conceição

2009-11-01

This study examined estimates of their own, and their parents' general and multiple intelligences. Three hundred and twenty three students from East Timor, and one hundred eighty three students from Portugal estimated their own, and their parents' IQ scores on each of Gardner's ten multiple intelligences. Men believed they were more intelligent than were women on mathematical (logical), spatial, and naturalistic intelligence. There were consistent and clear culture differences. Portuguese gave higher self, and family ratings than Timorese, as expected. Participants of both cultures rated overall intelligence of their father higher than that of their mother. Implications of these results for education and self-presentations are considered.

National ITS Program Plan, Intelligent Transportation Systems Volume II

DOT National Transportation Integrated Search

1995-03-01

THE PURPOSE OF THE NATIONAL ITS PROGRAM PLAN IS TO GUIDE THE DEVELOPMENT AND DEPLOYMENT OF INTELLIGENT TRANSPORTATION SYSTEMS (ITS) IN THE UNITED STATES. THIS, THE FIRST EDITION OF THE PLAN WAS A JOINT EFFORT OF ITS AMERICA AND THE UNITED STATES DEPA...

Estimates of lay views about reversal multiple intelligences for self and others: Sex and cross-cultural comparisons.

PubMed

Neto, Félix; da Conceição Pinto, Maria; Mullet, Etienne; Furnham, Adrian

2017-12-01

This study focuses on lay conceptions of intelligence. It examined sex and cross-cultural similarities and differences in estimated intelligences and beliefs about intelligence in two countries, Angola and East Timor, within the reversal theory framework. A total of 209 Angolan (109 women and 100 men) and 183 Timorese (89 women and 94 men) students were participated in this study. Participants completed a questionnaire in order to estimate their parents', partners' and own overall intelligence and the 8 reversal multiple intelligences (telic, paratelic, conformist, negativistic, autic mastery, autic sympathy, alloic mastery and alloic sympathy intelligence). Respondents also rated 6 questions about intelligence. Men rated their overall, conformist and autic mastery higher than women. Angolans rated their overall, telic, paratelic, conformist, negativistic, autic mastery, autic sympathy, alloic mastery and alloic sympathy intelligence higher than Timorese. In both countries, fathers have been perceived as more intelligent than mothers, and telic intelligence emerged as a significant predictor of overall intelligence. Principal component analysis of the 8 reversal multiple intelligences yielded one factor. Angolan participants revealed more IQ test experience than Timorese participants. Most of respondents in both countries did not believe in sex differences in intelligence. These findings are discussed by means of cross-cultural literature. © 2015 International Union of Psychological Science.

Estimating one's own and one's relatives' multiple intelligence: a study from Argentina.

PubMed

Furnham, Adrian; Chamorro-Premuzic, Tomas

2005-05-01

Participants from Argentina (N = 217) estimated their own, their partner's, their parents' and their grandparents' overall and multiple intelligences. The Argentinean data showed that men gave higher overall estimates than women (M = 110.4 vs. 105.1) as well as higher estimates on mathematical and spatial intelligence. Participants thought themselves slightly less bright than their fathers (2 IQ points) but brighter than their mothers (6 points), their grandfathers (8 points), but especially their grandmothers (11 points). Regressions showed that participants thought verbal and mathematical IQ to be the best predictors of overall IQ. Results were broadly in agreement with other studies in the area. A comparison was also made with British data using the same questionnaire. British participants tended to give significantly higher self-estimates than for relatives, though the pattern was generally similar. Results are discussed in terms of the studies in the field.

28 CFR 16.82 - Exemption of the National Drug Intelligence Center Data Base-limited access.

Code of Federal Regulations, 2012 CFR

2012-07-01

... Intelligence Center Data Base-limited access. 16.82 Section 16.82 Judicial Administration DEPARTMENT OF JUSTICE....82 Exemption of the National Drug Intelligence Center Data Base—limited access. (a) The following... Intelligence Center Data Base (JUSTICE/NDIC-001). (2) [Reserved] (b) These exemptions apply only to the extent...

28 CFR 16.82 - Exemption of the National Drug Intelligence Center Data Base-limited access.

Code of Federal Regulations, 2014 CFR

2014-07-01

... Intelligence Center Data Base-limited access. 16.82 Section 16.82 Judicial Administration DEPARTMENT OF JUSTICE....82 Exemption of the National Drug Intelligence Center Data Base—limited access. (a) The following... Intelligence Center Data Base (JUSTICE/NDIC-001). (2) [Reserved] (b) These exemptions apply only to the extent...

28 CFR 16.82 - Exemption of the National Drug Intelligence Center Data Base-limited access.

Code of Federal Regulations, 2010 CFR

2010-07-01

... Intelligence Center Data Base-limited access. 16.82 Section 16.82 Judicial Administration DEPARTMENT OF JUSTICE....82 Exemption of the National Drug Intelligence Center Data Base—limited access. (a) The following... Intelligence Center Data Base (JUSTICE/NDIC-001). (2) [Reserved] (b) These exemptions apply only to the extent...

28 CFR 16.82 - Exemption of the National Drug Intelligence Center Data Base-limited access.

Code of Federal Regulations, 2013 CFR

2013-07-01

... Intelligence Center Data Base-limited access. 16.82 Section 16.82 Judicial Administration DEPARTMENT OF JUSTICE....82 Exemption of the National Drug Intelligence Center Data Base—limited access. (a) The following... Intelligence Center Data Base (JUSTICE/NDIC-001). (2) [Reserved] (b) These exemptions apply only to the extent...

28 CFR 16.82 - Exemption of the National Drug Intelligence Center Data Base-limited access.

Code of Federal Regulations, 2011 CFR

2011-07-01

... Intelligence Center Data Base-limited access. 16.82 Section 16.82 Judicial Administration DEPARTMENT OF JUSTICE....82 Exemption of the National Drug Intelligence Center Data Base—limited access. (a) The following... Intelligence Center Data Base (JUSTICE/NDIC-001). (2) [Reserved] (b) These exemptions apply only to the extent...

The Decline of Intelligence in America: A Strategy for National Renewal.

ERIC Educational Resources Information Center

Itzkoff, Seymour W.

It is argued that the United States is declining as a nation, a decline that can be confirmed by any of the criteria that historians have ever used to measure the state and condition of a nation and its people, and it is asserted that this decline is rooted in the overall decline of the intelligence capital of the nation, a decline in the levels…

77 FR 59021 - License Amendment Request for the U.S. Department of the Army, National Ground Intelligence...

Federal Register 2010, 2011, 2012, 2013, 2014

2012-09-25

... NUCLEAR REGULATORY COMMISSION [Docket No. 03032042; NRC-2012-0219] License Amendment Request for the U.S. Department of the Army, National Ground Intelligence Center, Charlottesville, VA AGENCY... held by the U.S. Department of the Army, National Ground Intelligence Center (the licensee), for...

Counter-Intelligence as a Chaotic Phenomenon and Its Importance in National Security

NASA Astrophysics Data System (ADS)

Kuloğlu, Gökhan; Gül, Zakir; Erçetin, Şefika Şule

In today's rapidly changing globalized world, remarkably fast and important developments have been faced in the area of national security as in almost all other areas. Advancements in communication and transportation technologies have removed physical boundaries almost completely. National security institutions now have to fight against new and complicated security threats that go beyond the boundaries such as organized crimes and terror crimes. These ever-changing threats and dangerous environment which become more and more complex every single day force nations to review their current security structures and to take new and effective measures in the required areas in order to ensure their national security. As a matter of fact, counter-intelligence, which was quite important due to the frequency of spying acts during the Cold War but lost its importance after the Cold War had ended, has been one of these measures. Today, counterintelligence has once again become one of the most important functions in the fight against national security threats with changing dimensions. It is only possible for a nation to ensure its national security fully by having not only a defensive and passive approach but also offensive counter-intelligence.

National Conference On Intelligent Transportation Systems And The Environment: Conference Proceedings

DOT National Transportation Integrated Search

1994-06-06

ENVIRONMENTAL IMPACT : THE PURPOSE OF THE NATIONAL POLICY CONFERENCE ON ITS AND THE ENVIRONMENT WAS TO CONDUCT A WIDE RANGING EXAMINATION OF HOW INTELLIGENT TRANSPORTATION AND RELATED ADVANCED TECHNOLOGIES COULD IMPACT ENVIRONMENTAL POLICIES AND P...

Monocular-Based 6-Degree of Freedom Pose Estimation Technology for Robotic Intelligent Grasping Systems

PubMed Central

Liu, Tao; Guo, Yin; Yang, Shourui; Yin, Shibin; Zhu, Jigui

2017-01-01

Industrial robots are expected to undertake ever more advanced tasks in the modern manufacturing industry, such as intelligent grasping, in which robots should be capable of recognizing the position and orientation of a part before grasping it. In this paper, a monocular-based 6-degree of freedom (DOF) pose estimation technology to enable robots to grasp large-size parts at informal poses is proposed. A camera was mounted on the robot end-flange and oriented to measure several featured points on the part before the robot moved to grasp it. In order to estimate the part pose, a nonlinear optimization model based on the camera object space collinearity error in different poses is established, and the initial iteration value is estimated with the differential transformation. Measuring poses of the camera are optimized based on uncertainty analysis. Also, the principle of the robotic intelligent grasping system was developed, with which the robot could adjust its pose to grasp the part. In experimental tests, the part poses estimated with the method described in this paper were compared with those produced by a laser tracker, and results show the RMS angle and position error are about 0.0228° and 0.4603 mm. Robotic intelligent grasping tests were also successfully performed in the experiments. PMID:28216555

Monocular-Based 6-Degree of Freedom Pose Estimation Technology for Robotic Intelligent Grasping Systems.

PubMed

Liu, Tao; Guo, Yin; Yang, Shourui; Yin, Shibin; Zhu, Jigui

2017-02-14

Industrial robots are expected to undertake ever more advanced tasks in the modern manufacturing industry, such as intelligent grasping, in which robots should be capable of recognizing the position and orientation of a part before grasping it. In this paper, a monocular-based 6-degree of freedom (DOF) pose estimation technology to enable robots to grasp large-size parts at informal poses is proposed. A camera was mounted on the robot end-flange and oriented to measure several featured points on the part before the robot moved to grasp it. In order to estimate the part pose, a nonlinear optimization model based on the camera object space collinearity error in different poses is established, and the initial iteration value is estimated with the differential transformation. Measuring poses of the camera are optimized based on uncertainty analysis. Also, the principle of the robotic intelligent grasping system was developed, with which the robot could adjust its pose to grasp the part. In experimental tests, the part poses estimated with the method described in this paper were compared with those produced by a laser tracker, and results show the RMS angle and position error are about 0.0228° and 0.4603 mm. Robotic intelligent grasping tests were also successfully performed in the experiments.

Bayesian Model Averaging of Artificial Intelligence Models for Hydraulic Conductivity Estimation

NASA Astrophysics Data System (ADS)

Nadiri, A.; Chitsazan, N.; Tsai, F. T.; Asghari Moghaddam, A.

2012-12-01

This research presents a Bayesian artificial intelligence model averaging (BAIMA) method that incorporates multiple artificial intelligence (AI) models to estimate hydraulic conductivity and evaluate estimation uncertainties. Uncertainty in the AI model outputs stems from error in model input as well as non-uniqueness in selecting different AI methods. Using one single AI model tends to bias the estimation and underestimate uncertainty. BAIMA employs Bayesian model averaging (BMA) technique to address the issue of using one single AI model for estimation. BAIMA estimates hydraulic conductivity by averaging the outputs of AI models according to their model weights. In this study, the model weights were determined using the Bayesian information criterion (BIC) that follows the parsimony principle. BAIMA calculates the within-model variances to account for uncertainty propagation from input data to AI model output. Between-model variances are evaluated to account for uncertainty due to model non-uniqueness. We employed Takagi-Sugeno fuzzy logic (TS-FL), artificial neural network (ANN) and neurofuzzy (NF) to estimate hydraulic conductivity for the Tasuj plain aquifer, Iran. BAIMA combined three AI models and produced better fitting than individual models. While NF was expected to be the best AI model owing to its utilization of both TS-FL and ANN models, the NF model is nearly discarded by the parsimony principle. The TS-FL model and the ANN model showed equal importance although their hydraulic conductivity estimates were quite different. This resulted in significant between-model variances that are normally ignored by using one AI model.

Developmental quotient to estimate intelligence in autism spectrum disorder.

PubMed

Kawabe, Kentaro; Kondo, Shizuka; Matsumoto, Miki; Seo, Kanae; Ochi, Marina; Oka, Yasunori; Horiuchi, Fumie; Ueno, Shu-Ichi

2016-10-01

Autism spectrum disorders (ASD) are characterized by persistent deficits in social communication and social interaction across contexts, and are associated with restricted patterns of behavior. The developmental quotient (DQ) is based on the developmental age and chronological age of children. This study investigated the utility of the DQ to estimate cognitive ability in young children with ASD. The DQ and intelligence quotient (IQ) were assessed using the Kyoto Scale of Psychological Development 2001 (KSPD) and Wechsler Intelligence Scale for Children-III (WISC-III), respectively. The correlation between the DQ and IQ was then analyzed among children with ASD. We enrolled 18 children with ASD (16 boys, two girls; age, 63.6 ± 9.4 months; age range, 45-83 months). Overall, Cognitive-Adaptive and Language-Social DQ scores were significantly correlated with IQ score in the full scale, verbal, and performance domains. Full-scale IQ and overall DQ had a linear correlation (y = -22.747 + 1.177x, R 2 = 0.677, R = 0.823). The DQ scores obtained using the KSPD were a reasonable estimate of cognitive ability in children with ASD. The KSPD may be a useful alternative to the WISC-III for young children with ASD and could facilitate earlier assessment. © 2016 Japan Pediatric Society.

Direct magnitude estimates of speech intelligibility in dysarthria: effects of a chosen standard.

PubMed

Weismer, Gary; Laures, Jacqueline S

2002-06-01

Direct magnitude estimation (DME) has been used frequently as a perceptual scaling technique in studies of the speech intelligibility of persons with speech disorders. The technique is typically used with a standard, or reference stimulus, chosen as a good exemplar of "midrange" intelligibility. In several published studies, the standard has been chosen subjectively, usually on the basis of the expertise of the investigators. The current experiment demonstrates that a fixed set of sentence-level utterances, obtained from 4 individuals with dysarthria (2 with Parkinson disease, 2 with traumatic brain injury) as well as 3 neurologically normal speakers, is scaled differently depending on the identity of the standard. Four different standards were used in the main experiment, three of which were judged qualitatively in two independent evaluations to be good exemplars of midrange intelligibility. Acoustic analyses did not reveal obvious differences between these four standards but suggested that the standard with the worst-scaled intelligibility had much poorer voice source characteristics compared to the other three standards. Results are discussed in terms of possible standardization of midrange intelligibility exemplars for DME experiments.

A proposed method to estimate premorbid full scale intelligence quotient (FSIQ) for the Canadian Wechsler Intelligence Scale for Children-Fourth Edition (WISC-IV) using demographic and combined estimation procedures.

PubMed

Schoenberg, Mike R; Lange, Rael T; Saklofske, Donald H

2007-11-01

Establishing a comparison standard in neuropsychological assessment is crucial to determining change in function. There is no available method to estimate premorbid intellectual functioning for the Wechsler Intelligence Scale for Children-Fourth Edition (WISC-IV). The WISC-IV provided normative data for both American and Canadian children aged 6 to 16 years old. This study developed regression algorithms as a proposed method to estimate full-scale intelligence quotient (FSIQ) for the Canadian WISC-IV. Participants were the Canadian WISC-IV standardization sample (n = 1,100). The sample was randomly divided into two groups (development and validation groups). The development group was used to generate regression algorithms; 1 algorithm only included demographics, and 11 combined demographic variables with WISC-IV subtest raw scores. The algorithms accounted for 18% to 70% of the variance in FSIQ (standard error of estimate, SEE = 8.6 to 14.2). Estimated FSIQ significantly correlated with actual FSIQ (r = .30 to .80), and the majority of individual FSIQ estimates were within +/-10 points of actual FSIQ. The demographic-only algorithm was less accurate than algorithms combining demographic variables with subtest raw scores. The current algorithms yielded accurate estimates of current FSIQ for Canadian individuals aged 6-16 years old. The potential application of the algorithms to estimate premorbid FSIQ is reviewed. While promising, clinical validation of the algorithms in a sample of children and/or adolescents with known neurological dysfunction is needed to establish these algorithms as a premorbid estimation procedure.

The Little Emperor: Chinese Parents' Assessment of Their Own, Their Partner's and Their Only Child's Intelligence

ERIC Educational Resources Information Center

Furnham, Adrian; Wu, Chun

2014-01-01

This study set out to examine whether Chinese parents, more than people from other nations, over-estimate the intelligence of their son (little emperor) compared to their daughter. In this study, 155 pairs of married couples from mainland China estimated their own, their partner's and their only child's overall intelligence and 13 "multiple…

32 CFR 1900.14 - Fee estimates (pre-request option).

Code of Federal Regulations, 2010 CFR

2010-07-01

... 32 National Defense 6 2010-07-01 2010-07-01 false Fee estimates (pre-request option). 1900.14 Section 1900.14 National Defense Other Regulations Relating to National Defense CENTRAL INTELLIGENCE... § 1900.14 Fee estimates (pre-request option). In order to avoid unanticipated or potentially large fees...

Self- and other-estimates of multiple abilities in Britain and Turkey: a cross-cultural comparison of subjective ratings of intelligence.

PubMed

Furnham, Adrian; Arteche, Adriane; Chamorro-Premuzic, Tomas; Keser, Askin; Swami, Viren

2009-12-01

This study is part of a programmatic research effort into the determinants of self-assessed abilities. It examined cross-cultural differences in beliefs about intelligence and self- and other-estimated intelligence in two countries at extreme ends of the European continent. In all, 172 British and 272 Turkish students completed a three-part questionnaire where they estimated their parents', partners' and own multiple intelligences (Gardner (10) and Sternberg (3)). They also completed a measure of the 'big five' personality scales and rated six questions about intelligence. The British sample had more experience with IQ tests than the Turks. The majority of participants in both groups did not believe in sex differences in intelligence but did think there were race differences. They also believed that intelligence was primarily inherited. Participants rated their social and emotional intelligence highly (around one standard deviation above the norm). Results suggested that there were more cultural than sex differences in all the ratings, with various interactions mainly due to the British sample differentiating more between the sexes than the Turks. Males rated their overall, verbal, logical, spatial, creative and practical intelligence higher than females. Turks rated their musical, body-kinesthetic, interpersonal and intrapersonal intelligence as well as existential, naturalistic, emotional, creative, and practical intelligence higher than the British. There was evidence of participants rating their fathers' intelligence on most factors higher than their mothers'. Factor analysis of the ten Gardner intelligences yield two clear factors: cognitive and social intelligence. The first factor was impacted by sex but not culture; it was the other way round for the second factor. Regressions showed that five factors predicted overall estimates: sex (male), age (older), test experience (has done tests), extraversion (strong) and openness (strong). Results are discussed in

Defending the Homeland: The Case for Integrating National Guard Intelligence Personnel into the State Fusion Centers

DTIC Science & Technology

2011-02-15

already robust lineup of 57 National Guard Combat Support Teams (CSTs) and 17 CBRNE Enhanced Response Force Packages (CERFPs) to increase the existing...analysis of disparate data sources, identification of intelligence gaps, and proactive collection of intelligence against those gaps which could

A Novel Strain-Based Method to Estimate Tire Conditions Using Fuzzy Logic for Intelligent Tires.

PubMed

Garcia-Pozuelo, Daniel; Olatunbosun, Oluremi; Yunta, Jorge; Yang, Xiaoguang; Diaz, Vicente

2017-02-10

The so-called intelligent tires are one of the most promising research fields for automotive engineers. These tires are equipped with sensors which provide information about vehicle dynamics. Up to now, the commercial intelligent tires only provide information about inflation pressure and their contribution to stability control systems is currently very limited. Nowadays one of the major problems for intelligent tire development is how to embed feasible and low cost sensors to obtain reliable information such as inflation pressure, vertical load or rolling speed. These parameters provide key information for vehicle dynamics characterization. In this paper, we propose a novel algorithm based on fuzzy logic to estimate the mentioned parameters by means of a single strain-based system. Experimental tests have been carried out in order to prove the suitability and durability of the proposed on-board strain sensor system, as well as its low cost advantages, and the accuracy of the obtained estimations by means of fuzzy logic.

A Novel Strain-Based Method to Estimate Tire Conditions Using Fuzzy Logic for Intelligent Tires

PubMed Central

Garcia-Pozuelo, Daniel; Olatunbosun, Oluremi; Yunta, Jorge; Yang, Xiaoguang; Diaz, Vicente

2017-01-01

The so-called intelligent tires are one of the most promising research fields for automotive engineers. These tires are equipped with sensors which provide information about vehicle dynamics. Up to now, the commercial intelligent tires only provide information about inflation pressure and their contribution to stability control systems is currently very limited. Nowadays one of the major problems for intelligent tire development is how to embed feasible and low cost sensors to obtain reliable information such as inflation pressure, vertical load or rolling speed. These parameters provide key information for vehicle dynamics characterization. In this paper, we propose a novel algorithm based on fuzzy logic to estimate the mentioned parameters by means of a single strain-based system. Experimental tests have been carried out in order to prove the suitability and durability of the proposed on-board strain sensor system, as well as its low cost advantages, and the accuracy of the obtained estimations by means of fuzzy logic. PMID:28208631

Person centered prediction of survival in population based screening program by an intelligent clinical decision support system.

PubMed

Safdari, Reza; Maserat, Elham; Asadzadeh Aghdaei, Hamid; Javan Amoli, Amir Hossein; Mohaghegh Shalmani, Hamid

2017-01-01

To survey person centered survival rate in population based screening program by an intelligent clinical decision support system. Colorectal cancer is the most common malignancy and major cause of morbidity and mortality throughout the world. Colorectal cancer is the sixth leading cause of cancer death in Iran. In this survey, we used cosine similarity as data mining technique and intelligent system for estimating survival of at risk groups in the screening plan. In the first step, we determined minimum data set (MDS). MDS was approved by experts and reviewing literatures. In the second step, MDS were coded by python language and matched with cosine similarity formula. Finally, survival rate by percent was illustrated in the user interface of national intelligent system. The national intelligent system was designed in PyCharm environment. Main data elements of intelligent system consist demographic information, age, referral type, risk group, recommendation and survival rate. Minimum data set related to survival comprise of clinical status, past medical history and socio-demographic information. Information of the covered population as a comprehensive database was connected to intelligent system and survival rate estimated for each patient. Mean range of survival of HNPCC patients and FAP patients were respectively 77.7% and 75.1%. Also, the mean range of the survival rate and other calculations have changed with the entry of new patients in the CRC registry by real-time. National intelligent system monitors the entire of risk group and reports survival rates by electronic guidelines and data mining technique and also operates according to the clinical process. This web base software has a critical role in the estimation survival rate in order to health care planning.

Intelligence and childlessness.

PubMed

Kanazawa, Satoshi

2014-11-01

Demographers debate why people have children in advanced industrial societies where children are net economic costs. From an evolutionary perspective, however, the important question is why some individuals choose not to have children. Recent theoretical developments in evolutionary psychology suggest that more intelligent individuals may be more likely to prefer to remain childless than less intelligent individuals. Analyses of the National Child Development Study show that more intelligent men and women express preference to remain childless early in their reproductive careers, but only more intelligent women (not more intelligent men) are more likely to remain childless by the end of their reproductive careers. Controlling for education and earnings does not at all attenuate the association between childhood general intelligence and lifetime childlessness among women. One-standard-deviation increase in childhood general intelligence (15 IQ points) decreases women's odds of parenthood by 21-25%. Because women have a greater impact on the average intelligence of future generations, the dysgenic fertility among women is predicted to lead to a decline in the average intelligence of the population in advanced industrial nations. Copyright © 2014 Elsevier Inc. All rights reserved.

Home Country National Intelligence and Self-Employment Rates among Immigrants in Norway

ERIC Educational Resources Information Center

Vinogradov, Evgueni; Kolvereid, Lars

2010-01-01

The level of self-employment varies significantly among immigrants from different countries of origin. The objective of this research is to examine the relationship between home-country national intelligence and self-employment rates among first generation immigrants in Norway. Empirical secondary data on self-employment among immigrants from 117…

Joint and National Intelligence Support to Military Operations

DTIC Science & Technology

2004-10-07

missions. The goal is to maximize the impact of intelligence on military operations by increasing the efficiency of the intelligence process and the...intelligence support to military operations will be affected by non-threat-related environmental factors such as requisite changes in sources and...tailored and highly detailed intelligence analyses of a wide variety of human and information environmental factors, such as public attitudes and

Intelligence, democracy, and international environmental commitment.

PubMed

Obydenkova, Anastassia; Salahodjaev, Raufhon

2016-05-01

This paper investigates the determinants of nations' commitment to environmental protection at the international level by focusing on the role of national intelligence and the level of democracy. The national intelligence is measured by nation's IQ scores. The findings based on a sample of 152 nations provide strong evidence that intelligence has statistically significant impact on ratification of international environmental agreements, and the countries with IQ 10-points above global average are 23% more likely to sign multilateral environmental agreements than others. The findings also demonstrate that it is the combination of high-level of intelligence of nations and democracy, that likely result in international environmental commitments. Copyright © 2016 Elsevier Inc. All rights reserved.

Intelligence and homosexuality.

PubMed

Kanazawa, Satoshi

2012-09-01

The origin of preferences and values is an unresolved theoretical problem in behavioural sciences. The Savanna-IQ Interaction Hypothesis, derived from the Savanna Principle and a theory of the evolution of general intelligence, suggests that more intelligent individuals are more likely to acquire and espouse evolutionarily novel preferences and values than less intelligent individuals, but general intelligence has no effect on the acquisition and espousal of evolutionarily familiar preferences and values. Ethnographies of traditional societies suggest that exclusively homosexual behaviour was probably rare in the ancestral environment, so the Hypothesis would predict that more intelligent individuals are more likely to identify themselves as homosexual and engage in homosexual behaviour. Analyses of three large, nationally representative samples (two of which are prospectively longitudinal) from two different nations confirm the prediction.

Gateway National Recreational Area - Sandy Hook Unit : automated fee entrance plaza and intelligent transportation system technical requirements

DOT National Transportation Integrated Search

2009-01-01

The Volpe National Transportation Systems Center (Volpe Center) is providing technical : support to Sandy Hook, a unit of the Gateway National Recreation Area, in the planning and : concept development for possible Intelligent Transportation Systems ...

A Cross-National Study of Student Teachers' Views about Intelligence: Similarities and Differences in England and Turkey

ERIC Educational Resources Information Center

Ilhan-Beyaztas, Dilek; Dawson, Elizabeth

2017-01-01

A cross-national descriptive research method was used to explore Turkish and English student teachers' views about intelligence, and the factors which shape them. The "Adult Version of The Implicit Theory of Intelligence Scale" [1], and the Turkish version of this scale [2] were used to investigate the views of 114 English and 201…

Average Intelligence Predicts Atheism Rates across 137 Nations

ERIC Educational Resources Information Center

Lynn, Richard; Harvey, John; Nyborg, Helmuth

2009-01-01

Evidence is reviewed pointing to a negative relationship between intelligence and religious belief in the United States and Europe. It is shown that intelligence measured as psychometric "g" is negatively related to religious belief. We also examine whether this negative relationship between intelligence and religious belief is present between…

Estimation of urban runoff and water quality using remote sensing and artificial intelligence.

PubMed

Ha, S R; Park, S Y; Park, D H

2003-01-01

Water quality and quantity of runoff are strongly dependent on the landuse and landcover (LULC) criteria. In this study, we developed a more improved parameter estimation procedure for the environmental model using remote sensing (RS) and artificial intelligence (AI) techniques. Landsat TM multi-band (7bands) and Korea Multi-Purpose Satellite (KOMPSAT) panchromatic data were selected for input data processing. We employed two kinds of artificial intelligence techniques, RBF-NN (radial-basis-function neural network) and ANN (artificial neural network), to classify LULC of the study area. A bootstrap resampling method, a statistical technique, was employed to generate the confidence intervals and distribution of the unit load. SWMM was used to simulate the urban runoff and water quality and applied to the study watershed. The condition of urban flow and non-point contaminations was simulated with rainfall-runoff and measured water quality data. The estimated total runoff, peak time, and pollutant generation varied considerably according to the classification accuracy and percentile unit load applied. The proposed procedure would efficiently be applied to water quality and runoff simulation in a rapidly changing urban area.

Validation of the Child Premorbid Intelligence Estimate method to predict premorbid Wechsler Intelligence Scale for Children-Fourth Edition Full Scale IQ among children with brain injury.

PubMed

Schoenberg, Mike R; Lange, Rael T; Saklofske, Donald H; Suarez, Mariann; Brickell, Tracey A

2008-12-01

Determination of neuropsychological impairment involves contrasting obtained performances with a comparison standard, which is often an estimate of premorbid IQ. M. R. Schoenberg, R. T. Lange, T. A. Brickell, and D. H. Saklofske (2007) proposed the Child Premorbid Intelligence Estimate (CPIE) to predict premorbid Full Scale IQ (FSIQ) using the Wechsler Intelligence Scale for Children-4th Edition (WISC-IV; Wechsler, 2003). The CPIE includes 12 algorithms to predict FSIQ, 1 using demographic variables and 11 algorithms combining WISC-IV subtest raw scores with demographic variables. The CPIE was applied to a sample of children with acquired traumatic brain injury (TBI sample; n = 40) and a healthy demographically matched sample (n = 40). Paired-samples t tests found estimated premorbid FSIQ differed from obtained FSIQ when applied to the TBI sample (ps estimated and obtained FSIQ did not differ (ps > .02). The demographic only algorithm performed well at a group level, but estimates were restricted in range. Algorithms combining single subtest scores with demographics performed adequately. Results support the clinical application of the CPIE algorithms. However, limitations to estimating individual premorbid ability, including statistical and developmental factors, must be considered. (c) 2008 APA, all rights reserved.

The Information Edge: Imagery Intelligence and Geospatial Information in an Evolving National Security Environment

DTIC Science & Technology

2000-12-01

8. PERFORMING ORGANIZATION REPORT NUMBER 9. SPONSORING/MONITORING AGENCY NAME(S) AND ADDRESS(ES) 10 . SPONSOR/MONITOR’S ACRONYM(S) 11. SPONSOR...Activities................................................................................ 48 10 . NIMA and Its Suppliers...Agency (DIA), the National Reconnaissance Office (NRO), the Defense Airborne Reconnaissance Office (DARO), and the Central Intelligence Agency” ibid. 10

Developing intelligent transportation systems using the national ITS architecture : an executive edition for senior transportation managers

DOT National Transportation Integrated Search

1998-07-01

This document has been produced to provide senior transportation managers of state and local departments of transportation with practical guidance for deploying Intelligent Transportation Systems (ITS) consistent with the National ITS Architecture. T...

Bringing the National Security Agency into the Classroom: Ethical Reflections on Academia-Intelligence Agency Partnerships.

PubMed

Kampe, Christopher; Reid, Gwendolynne; Jones, Paul; S, Colleen; S, Sean; Vogel, Kathleen M

2018-01-09

Academia-intelligence agency collaborations are on the rise for a variety of reasons. These can take many forms, one of which is in the classroom, using students to stand in for intelligence analysts. Classrooms, however, are ethically complex spaces, with students considered vulnerable populations, and become even more complex when layering multiple goals, activities, tools, and stakeholders over those traditionally present. This does not necessarily mean one must shy away from academia-intelligence agency partnerships in classrooms, but that these must be conducted carefully and reflexively. This paper hopes to contribute to this conversation by describing one purposeful classroom encounter that occurred between a professor, students, and intelligence practitioners in the fall of 2015 at North Carolina State University: an experiment conducted as part of a graduate-level political science class that involved students working with a prototype analytic technology, a type of participatory sensing/self-tracking device, developed by the National Security Agency. This experiment opened up the following questions that this paper will explore: What social, ethical, and pedagogical considerations arise with the deployment of a prototype intelligence technology in the college classroom, and how can they be addressed? How can academia-intelligence agency collaboration in the classroom be conducted in ways that provide benefits to all parties, while minimizing disruptions and negative consequences? This paper will discuss the experimental findings in the context of ethical perspectives involved in values in design and participatory/self-tracking data practices, and discuss lessons learned for the ethics of future academia-intelligence agency partnerships in the classroom.

Artificial Intelligence Estimation of Carotid-Femoral Pulse Wave Velocity using Carotid Waveform.

PubMed

Tavallali, Peyman; Razavi, Marianne; Pahlevan, Niema M

2018-01-17

In this article, we offer an artificial intelligence method to estimate the carotid-femoral Pulse Wave Velocity (PWV) non-invasively from one uncalibrated carotid waveform measured by tonometry and few routine clinical variables. Since the signal processing inputs to this machine learning algorithm are sensor agnostic, the presented method can accompany any medical instrument that provides a calibrated or uncalibrated carotid pressure waveform. Our results show that, for an unseen hold back test set population in the age range of 20 to 69, our model can estimate PWV with a Root-Mean-Square Error (RMSE) of 1.12 m/sec compared to the reference method. The results convey the fact that this model is a reliable surrogate of PWV. Our study also showed that estimated PWV was significantly associated with an increased risk of CVDs.

An Examination of the Flynn Effect in the National Intelligence Test in Estonia

ERIC Educational Resources Information Center

Shiu, William

2012-01-01

This study examined the Flynn Effect (FE; i.e., the rise in IQ scores over time) in Estonia from Scale B of the National Intelligence Test using both classical test theory (CTT) and item response theory (IRT) methods. Secondary data from two cohorts (1934, n = 890 and 2006, n = 913) of students were analyzed, using both classical test theory (CTT)…

An "intelligent" approach based on side-by-side cascade-correlation neural networks for estimating thermophysical properties from photothermal responses

NASA Astrophysics Data System (ADS)

Grieu, Stéphane; Faugeroux, Olivier; Traoré, Adama; Claudet, Bernard; Bodnar, Jean-Luc

2015-01-01

In the present paper, an artificial-intelligence-based approach dealing with the estimation of thermophysical properties is designed and evaluated. This new and "intelligent" approach makes use of photothermal responses obtained when subjecting materials to a light flux. So, the main objective of the present work was to estimate simultaneously both the thermal diffusivity and conductivity of materials, from front-face or rear-face photothermal responses to pseudo random binary signals. To this end, we used side-by-side feedforward neural networks trained with the cascade-correlation algorithm. In addition, computation time was a key point to consider. That is why the developed algorithms are computationally tractable.

Determining if Space is an Applicable Component to Intelligence Preparation of the Battlefield for Ranger Operations When Facing Non-Nation-State Adversaries

DTIC Science & Technology

2002-05-31

DETERMINING IF SPACE IS AN APPLICABLE COMPONENT TO INTELLIGENCE PREPARATION OF THE BATTLEFIELD FOR RANGER OPERATIONS WHEN FACING NON-NATION-STATE...Candidate: Major Michael Bruce Johnson Thesis Title: Determining if Space is an Applicable Component to Intelligence Preparation of the Battlefield for ...iii ABSTRACT DETERMINING IF SPACE IS AN APPLICABLE COMPONENT TO INTELLIGENCE PREPARATION OF THE BATTLEFIELD FOR RANGER OPERATIONS WHEN FACING NON

Zulu mothers' beliefs about their own and their children's intelligence.

PubMed

Furnham, Adrian; Mkhize, Nhlanhla

2003-02-01

Zulu women (N = 133) were given a structural interview concerning their own and their children's multiple intelligences. The best predictor of their own self-estimated overall intelligence rating was mathematical and spatial intelligence. Mothers showed few significant differences in their estimates of their sons and daughters' overall or multiple intelligences. However, they rated their daughters' interpersonal intelligence higher than those of their sons, and their sons' bodily-kinesthetic intelligence higher than those of their daughters. The mothers believed that overall their children were about 6 IQ points more intelligent than themselves. Although mothers estimated their own spatial, inter-, and intrapersonal intelligence to be higher than those of their children, they also believed that their children had higher mathematical intelligence.

Assessment of Intelligent Processing Equipment in the National Aeronautics and Space Administration, 1991

NASA Technical Reports Server (NTRS)

Jones, C. S.

1992-01-01

Summarized here is an assessment of intelligent processing equipment (IPE) within NASA. An attempt is made to determine the state of IPE development and research in specific areas where NASA might contribute to the national capability. Mechanisms to transfer NASA technology to the U.S. private sector in this critical area are discussed. It was concluded that intelligent processing equipment is finding extensive use in the manufacture of space hardware, especially in the propulsion components of the shuttle. The major benefits are found in improved process consistency, which lowers cost as it reduces rework. Advanced feedback controls are under development and being implemented gradually into shuttle manufacturing. Implementation is much more extensive in new programs, such as in the advanced solid rocket motor and the Space Station Freedom.

Sex differences in self-estimates of lay dimensions of intelligence.

PubMed

Furnham, A

1999-08-01

260 participants rated themselves on 12 items that made up the three types of intelligence as noted by Sternberg, et al. in 1981. There were sex differences on two of the three standardized scores with men rating themselves higher than women on practical and verbal intelligence. This confirms previous studies of sex differences in the ratings of over-all (g) and multiple intelligences.

The Use of Artificial Neural Networks to Estimate Speech Intelligibility from Acoustic Variables: A Preliminary Analysis.

ERIC Educational Resources Information Center

Metz, Dale Evan; And Others

1992-01-01

A preliminary scheme for estimating the speech intelligibility of hearing-impaired speakers from acoustic parameters, using a computerized artificial neural network to process mathematically the acoustic input variables, is outlined. Tests with 60 hearing-impaired speakers found the scheme to be highly accurate in identifying speakers separated by…

Schooling Effects on Intelligence Development: Evidence Based on National Samples from Urban and Rural China

ERIC Educational Resources Information Center

Wang, Tengfei; Ren, Xuezhu; Schweizer, Karl; Xu, Fen

2016-01-01

The current research investigated the variability of school effects on intelligence development in considering two economically and socially distinct groups of children. The data came from a nationally representative sample of primary school children from urban and rural areas of China. Two standardised reasoning tests were used to assess fluid…

Center for Artificial Intelligence

DTIC Science & Technology

1992-03-14

builder’s intelligent assistant. The basic approach of IGOR is to integrate the complementary strategies of exploratory and confirmatory data analysis...Recovery: A Model and Experiments," in Proceedings of the Ninth National Conference on Artifcial Intelligence , Anaheim, CA, July 1991, pp. 801-808. Howe...Lehnert University of Massachusetts, Amherst, MAJ (413) 545-1322 Lessei•:s.umass.edu Title: Center for Artificial Intelligence Contract #: N00014-86-K

Effects of speaking task on intelligibility in Parkinson’s disease

PubMed Central

TJADEN, KRIS; WILDING, GREG

2017-01-01

Intelligibility tests for dysarthria typically provide an estimate of overall severity for speech materials elicited through imitation or read from a printed script. The extent to which these types of tasks and procedures reflect intelligibility for extemporaneous speech is not well understood. The purpose of this study was to compare intelligibility estimates obtained for a reading passage and an extemporaneous monologue produced by12 speakers with Parkinson’s disease (PD). The relationship between structural characteristics of utterances and scaled intelligibility was explored within speakers. Speakers were audio-recorded while reading a paragraph and producing a monologue. Speech samples were separated into individual utterances for presentation to 70 listeners who judged intelligibility using orthographic transcription and direct magnitude estimation (DME). Results suggest that scaled estimates of intelligibility for reading show potential for indexing intelligibility of an extemporaneous monologue. Within-speaker variation in scaled intelligibility also was related to the number of words per speech run for extemporaneous speech. PMID:20887216

Comparison of artificial intelligence methods and empirical equations to estimate daily solar radiation

NASA Astrophysics Data System (ADS)

Mehdizadeh, Saeid; Behmanesh, Javad; Khalili, Keivan

2016-08-01

In the present research, three artificial intelligence methods including Gene Expression Programming (GEP), Artificial Neural Networks (ANN) and Adaptive Neuro-Fuzzy Inference System (ANFIS) as well as, 48 empirical equations (10, 12 and 26 equations were temperature-based, sunshine-based and meteorological parameters-based, respectively) were used to estimate daily solar radiation in Kerman, Iran in the period of 1992-2009. To develop the GEP, ANN and ANFIS models, depending on the used empirical equations, various combinations of minimum air temperature, maximum air temperature, mean air temperature, extraterrestrial radiation, actual sunshine duration, maximum possible sunshine duration, sunshine duration ratio, relative humidity and precipitation were considered as inputs in the mentioned intelligent methods. To compare the accuracy of empirical equations and intelligent models, root mean square error (RMSE), mean absolute error (MAE), mean absolute relative error (MARE) and determination coefficient (R2) indices were used. The results showed that in general, sunshine-based and meteorological parameters-based scenarios in ANN and ANFIS models presented high accuracy than mentioned empirical equations. Moreover, the most accurate method in the studied region was ANN11 scenario with five inputs. The values of RMSE, MAE, MARE and R2 indices for the mentioned model were 1.850 MJ m-2 day-1, 1.184 MJ m-2 day-1, 9.58% and 0.935, respectively.

Intelligence Community Spending: Trends and Issues

DTIC Science & Technology

2016-11-08

who provide financial and economic expertise. Financial intelligence analysts focus on terrorist financing, counterfeiting, money laundering , funds...but also agreed that disclosure of numbers below the topline could cause damage to national security. It recommended that the amount of money spent...associated with intelligence spending. How Much is Enough? America’s intelligence agencies may spend more money on gathering and disseminating intelligence

Estimation of Sub Hourly Glacier Albedo Values Using Artificial Intelligence Techniques

NASA Astrophysics Data System (ADS)

Moya Quiroga, Vladimir; Mano, Akira; Asaoka, Yoshihiro; Udo, Keiko; Kure, Shuichi; Mendoza, Javier

2013-04-01

Glaciers are the most important fresh water reservoirs storing about 67% of total fresh water. Unfortunately, they are retreating and some small glaciers have already disappeared. Thus, snow glacier melt (SGM) estimation plays an important role in water resources management. Whether SGM is estimated by complete energy balance or a simplified method, albedo is an important data present in most of the methods. However, this is a variable value depending on the ground surface and local conditions. The present research presents a new approach for estimating sub hourly albedo values using different artificial intelligence techniques such as artificial neural networks and decision trees along with measured and easy to obtain data. . The models were developed using measured data from the Zongo-Ore station located in the Bolivian tropical glacier Zongo (68°10' W, 16°15' S). This station automatically records every 30 minutes several meteorological parameters such as incoming short wave radiation, outgoing short wave radiation, temperature or relative humidity. The ANN model used was the Multi Layer Perceptron, while the decision tree used was the M5 model. Both models were trained using the WEKA software and validated using the cross validation method. After analysing the model performances, it was concluded that the decision tree models have a better performance. The model with the best performance was then validated with measured data from the Equatorian tropical glacier Antizana (78°09'W, 0°28'S). The model predicts the sub hourly albedo with an overall mean absolute error of 0.103. The highest errors occur for albedo measured values higher than 0.9. Considering that this is an extreme value coincident with low measured values of incoming short wave radiation, it is reasonable to assume that such values include errors due to censored data. Assuming a maximum albedo of 0.9 improved the accuracy of the model reducing the MAE to less than 0.1. Considering that the

32 CFR 637.17 - Police Intelligence.

Code of Federal Regulations, 2010 CFR

2010-07-01

... 32 National Defense 4 2010-07-01 2010-07-01 true Police Intelligence. 637.17 Section 637.17... CRIMINAL INVESTIGATIONS MILITARY POLICE INVESTIGATION Investigations § 637.17 Police Intelligence. (a) The purpose of gathering police intelligence is to identify individuals or groups of individuals in an effort...

32 CFR 637.17 - Police Intelligence.

Code of Federal Regulations, 2014 CFR

2014-07-01

... 32 National Defense 4 2014-07-01 2013-07-01 true Police Intelligence. 637.17 Section 637.17... CRIMINAL INVESTIGATIONS MILITARY POLICE INVESTIGATION Investigations § 637.17 Police Intelligence. (a) The purpose of gathering police intelligence is to identify individuals or groups of individuals in an effort...

32 CFR 637.17 - Police Intelligence.

Code of Federal Regulations, 2013 CFR

2013-07-01

... 32 National Defense 4 2013-07-01 2013-07-01 false Police Intelligence. 637.17 Section 637.17... CRIMINAL INVESTIGATIONS MILITARY POLICE INVESTIGATION Investigations § 637.17 Police Intelligence. (a) The purpose of gathering police intelligence is to identify individuals or groups of individuals in an effort...

32 CFR 637.17 - Police Intelligence.

Code of Federal Regulations, 2011 CFR

2011-07-01

... 32 National Defense 4 2011-07-01 2011-07-01 false Police Intelligence. 637.17 Section 637.17... CRIMINAL INVESTIGATIONS MILITARY POLICE INVESTIGATION Investigations § 637.17 Police Intelligence. (a) The purpose of gathering police intelligence is to identify individuals or groups of individuals in an effort...

32 CFR 637.17 - Police Intelligence.

Code of Federal Regulations, 2012 CFR

2012-07-01

... 32 National Defense 4 2012-07-01 2011-07-01 true Police Intelligence. 637.17 Section 637.17... CRIMINAL INVESTIGATIONS MILITARY POLICE INVESTIGATION Investigations § 637.17 Police Intelligence. (a) The purpose of gathering police intelligence is to identify individuals or groups of individuals in an effort...

Estimating premorbid general cognitive functioning for children and adolescents using the American Wechsler Intelligence Scale for Children-Fourth Edition: demographic and current performance approaches.

PubMed

Schoenberg, Mike R; Lange, Rael T; Brickell, Tracey A; Saklofske, Donald H

2007-04-01

Neuropsychologic evaluation requires current test performance be contrasted against a comparison standard to determine if change has occurred. An estimate of premorbid intelligence quotient (IQ) is often used as a comparison standard. The Wechsler Intelligence Scale for Children-Fourth Edition (WISC-IV) is a commonly used intelligence test. However, there is no method to estimate premorbid IQ for the WISC-IV, limiting the test's utility for neuropsychologic assessment. This study develops algorithms to estimate premorbid Full Scale IQ scores. Participants were the American WISC-IV standardization sample (N = 2172). The sample was randomly divided into 2 groups (development and validation). The development group was used to generate 12 algorithms. These algorithms were accurate predictors of WISC-IV Full Scale IQ scores in healthy children and adolescents. These algorithms hold promise as a method to predict premorbid IQ for patients with known or suspected neurologic dysfunction; however, clinical validation is required.

Structure of the Wechsler Intelligence Scale for Children--Fourth Edition among a national sample of referred students.

PubMed

Watkins, Marley W

2010-12-01

The structure of the Wechsler Intelligence Scale for Children-Fourth Edition (WISC-IV; D. Wechsler, 2003a) was analyzed via confirmatory factor analysis among a national sample of 355 students referred for psychoeducational evaluation by 93 school psychologists from 35 states. The structure of the WISC-IV core battery was best represented by four first-order factors as per D. Wechsler (2003b), plus a general intelligence factor in a direct hierarchical model. The general factor was the predominate source of variation among WISC-IV subtests, accounting for 48% of the total variance and 75% of the common variance. The largest 1st-order factor, Processing Speed, only accounted for 6.1% total and 9.5% common variance. Given these explanatory contributions, recommendations favoring interpretation of the 1st-order factor scores over the general intelligence score appear to be misguided.

Evaluation of an artificial intelligence program for estimating occupational exposures.

PubMed

Johnston, Karen L; Phillips, Margaret L; Esmen, Nurtan A; Hall, Thomas A

2005-03-01

Estimation and Assessment of Substance Exposure (EASE) is an artificial intelligence program developed by UK's Health and Safety Executive to assess exposure. EASE computes estimated airborne concentrations based on a substance's vapor pressure and the types of controls in the work area. Though EASE is intended only to make broad predictions of exposure from occupational environments, some occupational hygienists might attempt to use EASE for individual exposure characterizations. This study investigated whether EASE would accurately predict actual sampling results from a chemical manufacturing process. Personal breathing zone time-weighted average (TWA) monitoring data for two volatile organic chemicals--a common solvent (toluene) and a specialty monomer (chloroprene)--present in this manufacturing process were compared to EASE-generated estimates. EASE-estimated concentrations for specific tasks were weighted by task durations reported in the monitoring record to yield TWA estimates from EASE that could be directly compared to the measured TWA data. Two hundred and six chloroprene and toluene full-shift personal samples were selected from eight areas of this manufacturing process. The Spearman correlation between EASE TWA estimates and measured TWA values was 0.55 for chloroprene and 0.44 for toluene, indicating moderate predictive values for both compounds. For toluene, the interquartile range of EASE estimates at least partially overlapped the interquartile range of the measured data distributions in all process areas. The interquartile range of EASE estimates for chloroprene fell above the interquartile range of the measured data distributions in one process area, partially overlapped the third quartile of the measured data in five process areas and fell within the interquartile range in two process areas. EASE is not a substitute for actual exposure monitoring. However, EASE can be used in conditions that cannot otherwise be sampled and in preliminary

32 CFR 635.5 - Police Intelligence/Criminal Information.

Code of Federal Regulations, 2011 CFR

2011-07-01

... 32 National Defense 4 2011-07-01 2011-07-01 false Police Intelligence/Criminal Information. 635.5... Intelligence/Criminal Information. (a) The purpose of gathering police intelligence is to identify individuals.... If police intelligence is developed to the point where it factually establishes a criminal offense...

32 CFR 635.5 - Police Intelligence/Criminal Information.

Code of Federal Regulations, 2012 CFR

2012-07-01

... 32 National Defense 4 2012-07-01 2011-07-01 true Police Intelligence/Criminal Information. 635.5... Intelligence/Criminal Information. (a) The purpose of gathering police intelligence is to identify individuals.... If police intelligence is developed to the point where it factually establishes a criminal offense...

32 CFR 635.5 - Police Intelligence/Criminal Information.

Code of Federal Regulations, 2010 CFR

2010-07-01

... 32 National Defense 4 2010-07-01 2010-07-01 true Police Intelligence/Criminal Information. 635.5... Intelligence/Criminal Information. (a) The purpose of gathering police intelligence is to identify individuals.... If police intelligence is developed to the point where it factually establishes a criminal offense...

32 CFR 635.5 - Police Intelligence/Criminal Information.

Code of Federal Regulations, 2014 CFR

2014-07-01

... 32 National Defense 4 2014-07-01 2013-07-01 true Police Intelligence/Criminal Information. 635.5... Intelligence/Criminal Information. (a) The purpose of gathering police intelligence is to identify individuals.... If police intelligence is developed to the point where it factually establishes a criminal offense...

32 CFR 635.5 - Police Intelligence/Criminal Information.

Code of Federal Regulations, 2013 CFR

2013-07-01

... 32 National Defense 4 2013-07-01 2013-07-01 false Police Intelligence/Criminal Information. 635.5... Intelligence/Criminal Information. (a) The purpose of gathering police intelligence is to identify individuals.... If police intelligence is developed to the point where it factually establishes a criminal offense...

National Intelligence and National Prosperity

ERIC Educational Resources Information Center

Hunt, Earl; Wittmann, Werner

2008-01-01

What is the relation between the cognitive competence of a national population that nation's economic prosperity? Lynn and Vanhanen [Lynn, R. & Vanhanen, T. (2002). "IQ and the wealth of nations." Westport, CT: Praeger.] presented data pointing to an exceptionally strong relationship between IQ scores and Gross Domestic Product per…

MRI correlates of general intelligence in neurotypical adults.

PubMed

Malpas, Charles B; Genc, Sila; Saling, Michael M; Velakoulis, Dennis; Desmond, Patricia M; O'Brien, Terence J

2016-02-01

There is growing interest in the neurobiological substrate of general intelligence. Psychometric estimates of general intelligence are reduced in a range of neurological disorders, leading to practical application as sensitive, but non-specific, markers of cerebral disorder. This study examined estimates of general intelligence in neurotypical adults using diffusion tensor imaging and resting-state functional connectivity analysis. General intelligence was related to white matter organisation across multiple brain regions, confirming previous work in older healthy adults. We also found that variation in general intelligence was related to a large functional sub-network involving all cortical lobes of the brain. These findings confirm that individual variance in general intelligence is related to diffusely represented brain networks. Copyright © 2015 Elsevier Ltd. All rights reserved.

Intelligent robotics can boost America's economic growth

NASA Technical Reports Server (NTRS)

Erickson, Jon D.

1994-01-01

A case is made for strategic investment in intelligent robotics as a part of the solution to the problem of improved global competitiveness for U.S. manufacturing, a critical industrial sector. Similar cases are made for strategic investments in intelligent robotics for field applications, construction, and service industries such as health care. The scope of the country's problems and needs is beyond the capability of the private sector alone, government alone, or academia alone to solve independently of the others. National cooperative programs in intelligent robotics are needed with the private sector supplying leadership direction and aerospace and non-aerospace industries conducting the development. Some necessary elements of such programs are outlined. The National Aeronautics and Space Administration (NASA) and the Lyndon B. Johnson Space Center (JSC) can be key players in such national cooperative programs in intelligent robotics for several reasons: (1) human space exploration missions require supervised intelligent robotics as enabling tools and, hence must develop supervised intelligent robotic systems; (2) intelligent robotic technology is being developed for space applications at JSC (but has a strong crosscutting or generic flavor) that is advancing the state of the art and is producing both skilled personnel and adaptable developmental infrastructure such as integrated testbeds; and (3) a NASA JSC Technology Investment Program in Robotics has been proposed based on commercial partnerships and collaborations for precompetitive, dual-use developments.

3 CFR - Reviewing Our Global Signals Intelligence Collection and Communications Technologies

Code of Federal Regulations, 2014 CFR

2014-01-01

... 3 The President 1 2014-01-01 2014-01-01 false Reviewing Our Global Signals Intelligence Collection... August 12, 2013 Reviewing Our Global Signals Intelligence Collection and Communications Technologies Memorandum for the Director of National Intelligence The United States, like all nations, gathers...

Perceived intelligence is associated with measured intelligence in men but not women.

PubMed

Kleisner, Karel; Chvátalová, Veronika; Flegr, Jaroslav

2014-01-01

The ability to accurately assess the intelligence of other persons finds its place in everyday social interaction and should have important evolutionary consequences. We used static facial photographs of 40 men and 40 women to test the relationship between measured IQ, perceived intelligence, and facial shape. Both men and women were able to accurately evaluate the intelligence of men by viewing facial photographs. In addition to general intelligence, figural and fluid intelligence showed a significant relationship with perceived intelligence, but again, only in men. No relationship between perceived intelligence and IQ was found for women. We used geometric morphometrics to determine which facial traits are associated with the perception of intelligence, as well as with intelligence as measured by IQ testing. Faces that are perceived as highly intelligent are rather prolonged with a broader distance between the eyes, a larger nose, a slight upturn to the corners of the mouth, and a sharper, pointing, less rounded chin. By contrast, the perception of lower intelligence is associated with broader, more rounded faces with eyes closer to each other, a shorter nose, declining corners of the mouth, and a rounded and massive chin. By contrast, we found no correlation between morphological traits and real intelligence measured with IQ test, either in men or women. These results suggest that a perceiver can accurately gauge the real intelligence of men, but not women, by viewing their faces in photographs; however, this estimation is possibly not based on facial shape. Our study revealed no relation between intelligence and either attractiveness or face shape.

Composite Intelligent Learning Control of Strict-Feedback Systems With Disturbance.

PubMed

Xu, Bin; Sun, Fuchun

2018-02-01

This paper addresses the dynamic surface control of uncertain nonlinear systems on the basis of composite intelligent learning and disturbance observer in presence of unknown system nonlinearity and time-varying disturbance. The serial-parallel estimation model with intelligent approximation and disturbance estimation is built to obtain the prediction error and in this way the composite law for weights updating is constructed. The nonlinear disturbance observer is developed using intelligent approximation information while the disturbance estimation is guaranteed to converge to a bounded compact set. The highlight is that different from previous work directly toward asymptotic stability, the transparency of the intelligent approximation and disturbance estimation is included in the control scheme. The uniformly ultimate boundedness stability is analyzed via Lyapunov method. Through simulation verification, the composite intelligent learning with disturbance observer can efficiently estimate the effect caused by system nonlinearity and disturbance while the proposed approach obtains better performance with higher accuracy.

Effects of major depression on estimates of intelligence.

PubMed

Sackeim, H A; Freeman, J; McElhiney, M; Coleman, E; Prudic, J; Devanand, D P

1992-03-01

This study examined whether patients with major depressive disorder manifest deficits in intelligence during affective episodes and following clinical improvement. WAIS-R scores were contrasted in 100 patients in an episode of major depression with 50 normal controls, matched to the patient sample in terms of demographic variables and estimates of premorbid IQ. The groups were equivalent in verbal IQ, but, in line with previous studies, the depressed patients had a pronounced deficit in performance IQ. A patient subsample was administered the WAIS-R under unlimited time conditions to determine whether the time constraints of performance IQ subtests contributed to the magnitude of the verbal-performance IQ discrepancy. This discrepancy was only slightly reduced with untimed scoring. Subgroups of depressed patients were retested with the WAIS-R within one week (n = 26) or two months (n = 33) following treatment with electroconvulsive therapy. In both subsamples, IQ scores were improved at posttreatment testing relative to pretreatment, but with little change in the verbal-performance IQ discrepancy. These and related findings suggested that a performance IQ deficit is characteristic of depressed patients regardless of affective state.

Artificial Intelligence and Language Comprehension.

ERIC Educational Resources Information Center

National Inst. of Education (DHEW), Washington, DC. Basic Skills Group. Learning Div.

The three papers in this volume concerning artificial intelligence and language comprehension were commissioned by the National Institute of Education to further the understanding of the cognitive processes that enable people to comprehend what they read. The first paper, "Artificial Intelligence and Language Comprehension," by Terry Winograd,…

Assessing Intelligence Operation/Fusion/Coordination Centers for Efficiency Opportunities

DTIC Science & Technology

2013-02-28

intelligence ], HUMINT [human intelligence ], GEOINT [geospatial intelligence ], or even open source information into the NIC-C. There is no...centers have and continue to be stood up to improve the collaboration across intelligence organizatons addressing national security threats. Open ... source review of journals and books describing changes in the intelligence community organizational structure since September 2001, were reviewed to

Perceived Intelligence Is Associated with Measured Intelligence in Men but Not Women

PubMed Central

Kleisner, Karel; Chvátalová, Veronika; Flegr, Jaroslav

2014-01-01

Background The ability to accurately assess the intelligence of other persons finds its place in everyday social interaction and should have important evolutionary consequences. Methodology/Principal Findings We used static facial photographs of 40 men and 40 women to test the relationship between measured IQ, perceived intelligence, and facial shape. Both men and women were able to accurately evaluate the intelligence of men by viewing facial photographs. In addition to general intelligence, figural and fluid intelligence showed a significant relationship with perceived intelligence, but again, only in men. No relationship between perceived intelligence and IQ was found for women. We used geometric morphometrics to determine which facial traits are associated with the perception of intelligence, as well as with intelligence as measured by IQ testing. Faces that are perceived as highly intelligent are rather prolonged with a broader distance between the eyes, a larger nose, a slight upturn to the corners of the mouth, and a sharper, pointing, less rounded chin. By contrast, the perception of lower intelligence is associated with broader, more rounded faces with eyes closer to each other, a shorter nose, declining corners of the mouth, and a rounded and massive chin. By contrast, we found no correlation between morphological traits and real intelligence measured with IQ test, either in men or women. Conclusions These results suggest that a perceiver can accurately gauge the real intelligence of men, but not women, by viewing their faces in photographs; however, this estimation is possibly not based on facial shape. Our study revealed no relation between intelligence and either attractiveness or face shape. PMID:24651120

Gender differences in self-rated and partner-rated multiple intelligences: a Portuguese replication.

PubMed

Neto, Félix; Furnham, Adrian

2006-11-01

The authors examined gender differences and the influence of intelligence quotient (IQ) test experience in the self and partner estimation of H. Gardner's (1999) 10 multiple intelligences. Portuguese students (N = 190) completed a brief questionnaire developed on the basis of an instrument used in previous research (A. Furnham, 2001). Three of the 10 self-estimates yielded significant gender differences. Men believed they were more intelligent than were women on mathematical (logical), spatial, and naturalistic intelligence. Those who had previously completed an IQ test gave higher self-estimates on 2 of the 10 estimates. Factor analysis of the 10 and then 8 self-estimated scores did not confirm Gardner's 3-factor classification of multiple intelligences in this sample.

Intelligence, Information Technology, and Information Warfare.

ERIC Educational Resources Information Center

Davies, Philip H. J.

2002-01-01

Addresses the use of information technology for intelligence and information warfare in the context of national security and reviews the status of clandestine collection. Discusses hacking, human agent collection, signal interception, covert action, counterintelligence and security, and communications between intelligence producers and consumers…

Geospatial intelligence workforce

NASA Astrophysics Data System (ADS)

Showstack, Randy

2013-02-01

A report on the future U.S. workforce for geospatial intelligence, requested by the U.S. National Geospatial-Intelligence Agency (NGA), found that the agency—which hires about 300 scientists and analysts annually—is probably finding sufficient experts to fill the needs in all of its core areas, with the possible exception of geographic information systems (GIS) and remote sensing. The report by the U.S. National Research Council, released on 25 January, noted that competition for GIS applications analysts is strong. While there appear to be enough cartographers, photogrammetrists, and geodesists to meet NGA's current needs in those core areas, the report cautioned that future shortages in these areas seem likely because of a relatively small number of graduates.

Structure of the Wechsler Intelligence Scale for Children-Fourth Edition among a National Sample of Referred Students

ERIC Educational Resources Information Center

Watkins, Marley W.

2010-01-01

The structure of the Wechsler Intelligence Scale for Children-Fourth Edition (WISC-IV; D. Wechsler, 2003a) was analyzed via confirmatory factor analysis among a national sample of 355 students referred for psychoeducational evaluation by 93 school psychologists from 35 states. The structure of the WISC-IV core battery was best represented by four…

Estimation of some transducer parameters in a broadband piezoelectric transmitter by using an artificial intelligence technique.

PubMed

Ruíz, A; Ramos, A; San Emeterio, J L

2004-04-01

An estimation procedure to efficiently find approximate values of internal parameters in ultrasonic transducers intended for broadband operation would be a valuable tool to discover internal construction data. This information is necessary in the modelling and simulation of acoustic and electrical behaviour related to ultrasonic systems containing commercial transducers. There is not a general solution for this generic problem of parameter estimation in the case of broadband piezoelectric probes. In this paper, this general problem is briefly analysed for broadband conditions. The viability of application in this field of an artificial intelligence technique supported on the modelling of the transducer internal components is studied. A genetic algorithm (GA) procedure is presented and applied to the estimation of different parameters, related to two transducers which are working as pulsed transmitters. The efficiency of this GA technique is studied, considering the influence of the number and variation range of the estimated parameters. Estimation results are experimentally ratified.

Director of National Intelligence: Another Bureaucratic Layer or an Effective Office?

DTIC Science & Technology

2006-12-15

created the Director of Central Intelligence (DCI). After the dissolution of COI, its various intelligence functions were divided between the State...demands of these two full time jobs on the time and attention of any person, no matter how skilled in management, are overwhelming . . . Even if one...The literature review is divided by the intelligence subjects of analysis, policy, and reform.. 1Michael Lee Lanning, Senseless Secrets: The

Firearm microstamping technology: counterinsurgency intelligence gathering tool

NASA Astrophysics Data System (ADS)

Lizotte, Todd E.; Ohar, Orest P.

2009-05-01

Warfare relies on effective, accurate and timely intelligence an especially critical task when conducting a counterinsurgency operation [1]. Simply stated counterinsurgency is an intelligence war. Both insurgents and counterinsurgents need effective intelligence capabilities to be successful. Insurgents and counterinsurgents therefore attempt to create and maintain intelligence networks and fight continuously to neutralize each other's intelligence capabilities [1][2]. In such an environment it is obviously an advantage to target or proactively create opportunities to track and map an insurgent movement. Quickly identifying insurgency intelligence assets (Infiltrators) within a host government's infrastructure is the goal. Infiltrators can occupy various areas of government such as security personnel, national police force, government offices or military units. Intentional Firearm Microstamping offers such opportunities when implemented into firearms. Outfitted within firearms purchased and distributed to the host nation's security forces (civilian and military), Intentional Firearm Microstamping (IFM) marks bullet cartridge casings with codes as they are fired from the firearm. IFM is incorporated onto optimum surfaces with the firearm mechanism. The intentional microstamp tooling marks can take the form of alphanumeric codes or encoded geometric codes that identify the firearm. As the firearm is discharged the intentional tooling marks transfer a code to the cartridge casing which is ejected out of the firearm. When recovered at the scene of a firefight or engagement, the technology will provide forensic intelligence allowing the mapping and tracking of small arms traffic patterns within the host nation or identify insurgency force strength and pinpoint firearm sources, such as corrupt/rogue military units or police force. Intentional Firearm Microstamping is a passive mechanical trace technology that can be outfitted or retrofitted to semiautomatic handguns and

Estimating Ground-Level PM2.5 by Fusing Satellite and Station Observations: A Geo-Intelligent Deep Learning Approach

NASA Astrophysics Data System (ADS)

Li, Tongwen; Shen, Huanfeng; Yuan, Qiangqiang; Zhang, Xuechen; Zhang, Liangpei

2017-12-01

Fusing satellite observations and station measurements to estimate ground-level PM2.5 is promising for monitoring PM2.5 pollution. A geo-intelligent approach, which incorporates geographical correlation into an intelligent deep learning architecture, is developed to estimate PM2.5. Specifically, it considers geographical distance and spatiotemporally correlated PM2.5 in a deep belief network (denoted as Geoi-DBN). Geoi-DBN can capture the essential features associated with PM2.5 from latent factors. It was trained and tested with data from China in 2015. The results show that Geoi-DBN performs significantly better than the traditional neural network. The out-of-sample cross-validation R2 increases from 0.42 to 0.88, and RMSE decreases from 29.96 to 13.03 μg/m3. On the basis of the derived PM2.5 distribution, it is predicted that over 80% of the Chinese population live in areas with an annual mean PM2.5 of greater than 35 μg/m3. This study provides a new perspective for air pollution monitoring in large geographic regions.

Artificial Intelligence in Astronomy

NASA Astrophysics Data System (ADS)

Devinney, E. J.; Prša, A.; Guinan, E. F.; Degeorge, M.

2010-12-01

From the perspective (and bias) as Eclipsing Binary researchers, we give a brief overview of the development of Artificial Intelligence (AI) applications, describe major application areas of AI in astronomy, and illustrate the power of an AI approach in an application developed under the EBAI (Eclipsing Binaries via Artificial Intelligence) project, which employs Artificial Neural Network technology for estimating light curve solution parameters of eclipsing binary systems.

Comparison of NIS and NHIS/NIPRCS vaccination coverage estimates. National Immunization Survey. National Health Interview Survey/National Immunization Provider Record Check Study.

PubMed

Bartlett, D L; Ezzati-Rice, T M; Stokley, S; Zhao, Z

2001-05-01

The National Immunization Survey (NIS) and the National Health Interview Survey (NHIS) produce national coverage estimates for children aged 19 months to 35 months. The NIS is a cost-effective, random-digit-dialing telephone survey that produces national and state-level vaccination coverage estimates. The National Immunization Provider Record Check Study (NIPRCS) is conducted in conjunction with the annual NHIS, which is a face-to-face household survey. As the NIS is a telephone survey, potential coverage bias exists as the survey excludes children living in nontelephone households. To assess the validity of estimates of vaccine coverage from the NIS, we compared 1995 and 1996 NIS national estimates with results from the NHIS/NIPRCS for the same years. Both the NIS and the NHIS/NIPRCS produce similar results. The NHIS/NIPRCS supports the findings of the NIS.

Gender nonconformity, intelligence, and sexual orientation.

PubMed

Rahman, Qazi; Bhanot, Suraj; Emrith-Small, Hanna; Ghafoor, Shilan; Roberts, Steven

2012-06-01

The present study explored whether there were relationships among gender nonconformity, intelligence, and sexual orientation. A total of 106 heterosexual men, 115 heterosexual women, and 103 gay men completed measures of demographic variables, recalled childhood gender nonconformity (CGN), and the National Adult Reading Test (NART). NART error scores were used to estimate Wechsler Adult Intelligence Scale (WAIS) Full-Scale IQ (FSIQ) and Verbal IQ (VIQ) scores. Gay men had significantly fewer NART errors than heterosexual men and women (controlling for years of education). In heterosexual men, correlational analysis revealed significant associations between CGN, NART, and FSIQ scores (elevated boyhood femininity correlated with higher IQ scores). In heterosexual women, the direction of the correlations between CGN and all IQ scores was reversed (elevated girlhood femininity correlating with lower IQ scores). There were no significant correlations among these variables in gay men. These data may indicate a "sexuality-specific" effect on general cognitive ability but with limitations. They also support growing evidence that quantitative measures of sex-atypicality are useful in the study of trait sexual orientation.

Intelligence Spending and Appropriations: Issues for Congress

DTIC Science & Technology

2013-09-05

while the MIP grew at a slower pace. The NIP budget in 2001 (then referred to as the National Foreign Intelligence Program— NFIP ) was roughly $24 billion...House Appropriations Committee (HAC) disclosure, adjusted for inflation. The Committee indicated that the Administration’s FY1995 NFIP request was...to shows funding for the National Foreign Intelligence Program. The FY1995 figure is therefore a useful proxy for the NFIP budget in FY2001. 13 DNI

Applying Network Theory to Develop a Dedicated National Intelligence Network

DTIC Science & Technology

2006-09-01

Los Angeles Sheriff’s Department .133 There is an interesting difference between the Washington, D.C. Police Department mission and others in...123 Atlanta, the TEW (Terrorist Early Warning) group (which is part of the Los Angeles Police Department ), and the intelligence and counter...intelligence “fusion” centers and perhaps the Los Angeles Police Department TEW. The

Intelligent flight control systems

NASA Technical Reports Server (NTRS)

Stengel, Robert F.

1993-01-01

The capabilities of flight control systems can be enhanced by designing them to emulate functions of natural intelligence. Intelligent control functions fall in three categories. Declarative actions involve decision-making, providing models for system monitoring, goal planning, and system/scenario identification. Procedural actions concern skilled behavior and have parallels in guidance, navigation, and adaptation. Reflexive actions are spontaneous, inner-loop responses for control and estimation. Intelligent flight control systems learn knowledge of the aircraft and its mission and adapt to changes in the flight environment. Cognitive models form an efficient basis for integrating 'outer-loop/inner-loop' control functions and for developing robust parallel-processing algorithms.

FBI Intelligence Reform Since September 11, 2001: Issues and Options for Congress

DTIC Science & Technology

2004-08-04

manner for failing to focus on the domestic terrorist threat; collect useful intelligence; analyze strategic intelligence; and to share intelligence...cited as JIC Inquiry) 7 An analyst conducts counterterrorism strategic intelligence analysis in order to develop a national and international...intelligence; strategically analyze intelligence,7 and to share intelligence internally, and with the rest of the IC. According to the congressional

Twin-singleton differences in intelligence: a register-based birth cohort study of Norwegian males.

PubMed

Eriksen, Willy; Sundet, Jon M; Tambs, Kristian

2012-10-01

The aim was to determine the difference in intelligence between singletons and twins in young adulthood. Data from the Medical Birth Register of Norway were linked with register data from the Norwegian National Conscript Service. The study base consisted of data on the 445,463 males who were born alive in either single or twin births in Norway during 1967-1984 and who were examined at the time of the mandatory military conscription (age 18-20). Within this study base, there were data on 1,653 sibships of full brothers that included at least one man born in single birth and at least one man born in twin birth (4,307 persons, including 2,378 twins and 1,929 singletons). The intelligence scores of the singletons were 11% (95% confidence interval [CI]: 9-14%) of a standard deviation higher than those of the twins, after adjustment for birth year, birth order, parental ages at delivery, parental education levels, and other factors. The adjusted within-family difference was also 11% (95 % CI: 6-16%) of a standard deviation, indicating that unmeasured factors shared by siblings (e.g., maternal body height) have not influenced the estimate in important ways. When gestational age at birth was added to the model, the estimate for the difference in intelligence score was approximately the same. Including birth weight in the model strongly reduced the estimate. In conclusion, twins born in Norway during 1967-1984 had slightly lower intelligence in early adulthood compared with the singletons.

Department of Transportation's intelligent transportation systems (ITS) projects book

DOT National Transportation Integrated Search

2000-01-01

Intelligent Transportation Systems (ITS), formerly Intelligent Vehicle-Highway Systems (IVHS), provide the technology applications helping the nation address current surface transportation problems while concurrently providing approaches for dealing ...

Artificial Intelligence Procedures for Tree Taper Estimation within a Complex Vegetation Mosaic in Brazil.

PubMed

Nunes, Matheus Henrique; Görgens, Eric Bastos

2016-01-01

Tree stem form in native tropical forests is very irregular, posing a challenge to establishing taper equations that can accurately predict the diameter at any height along the stem and subsequently merchantable volume. Artificial intelligence approaches can be useful techniques in minimizing estimation errors within complex variations of vegetation. We evaluated the performance of Random Forest® regression tree and Artificial Neural Network procedures in modelling stem taper. Diameters and volume outside bark were compared to a traditional taper-based equation across a tropical Brazilian savanna, a seasonal semi-deciduous forest and a rainforest. Neural network models were found to be more accurate than the traditional taper equation. Random forest showed trends in the residuals from the diameter prediction and provided the least precise and accurate estimations for all forest types. This study provides insights into the superiority of a neural network, which provided advantages regarding the handling of local effects.

Department of Transportation's intelligent transportation systems (ITS) projects book

DOT National Transportation Integrated Search

1999-01-01

Intelligent Transportation Systems (ITS), formerly Intelligent Vehicle-Highway Systems (IVHS), provide the technology applications helping the nation address current surface transportation problems and while concurrently providing approaches for deal...

Working paper : national costs of the metropolitan ITS infrastructure : updated with 2004 deployment data

DOT National Transportation Integrated Search

The purpose of this report, "Working Paper National Costs of the Metropolitan ITS infrastructure: Updated with 2004 Deployment Data," is to update the estimates of the costs remaining to deploy Intelligent Transportation Systems (ITS) infrastructure ...

National Deployment Estimate of the Metropolitan ITS Infrastructure : Updated with 2010 Deployment Data, 7th Revision

DOT National Transportation Integrated Search

2011-12-01

The purpose of this report is to provide a summary and back-up information on the methodology, data sources, and results for the estimate of Intelligent Transportation Systems (ITS) capital expenditures in the top 75 metropolitan areas as of FY 2010....

Creating National Attraction: Military Intelligence Sharing Building Foreign Military Interdependence

DTIC Science & Technology

2015-05-21

were focused on security of the information, access to desired intelligence, and access to locations favorable to collecting desired intelligence.8 The...obtain a more favorable position in the relationship. For example, a state might threaten defection due to a lack of domestic support for the...administration, the United States worked with Colombia and Mexico to reduce the flow of cocaine and marijuana into the United States.62 This action

Working paper : national costs of the metropolitan ITS infrastructure : updated with 2005 deployment data

DOT National Transportation Integrated Search

2006-07-01

The purpose of this report, "Working Paper National Costs of the Metropolitan ITS Infrastructure: Updated with 2005 Deployment Data," is to update the estimates of the costs remaining to fully deploy Intelligent Transportation Systems (ITS) infrastru...

National scale biomass estimators for United States tree species

Treesearch

Jennifer C. Jenkins; David C. Chojnacky; Linda S. Heath; Richard A. Birdsey

2003-01-01

Estimates of national-scale forest carbon (C) stocks and fluxes are typically based on allometric regression equations developed using dimensional analysis techniques. However, the literature is inconsistent and incomplete with respect to large-scale forest C estimation. We compiled all available diameter-based allometric regression equations for estimating total...

Assessing Irregular Warfare: A Framework for Intelligence Analysis

DTIC Science & Technology

2008-01-01

AND HEALTH CARE INTERNATIONAL AFFAIRS NATIONAL SECURITY POPULATION AND AGING PUBLIC SAFETY SCIENCE AND TECHNOLOGY SUBSTANCE ABUSE TERRORISM AND...Interim FSTC Foreign Science and Technology Center GMI general military intelligence IED improvised explosive device INSCOM Intelligence and Security...ground forces intelligence in the Department of Defense (DoD).1 NGIC was created in March 1995, when the U.S. Army Foreign Science and Technology

Intelligence, birth order, and family size.

PubMed

Kanazawa, Satoshi

2012-09-01

The analysis of the National Child Development Study in the United Kingdom (n = 17,419) replicates some earlier findings and shows that genuine within-family data are not necessary to make the apparent birth-order effect on intelligence disappear. Birth order is not associated with intelligence in between-family data once the number of siblings is statistically controlled. The analyses support the admixture hypothesis, which avers that the apparent birth-order effect on intelligence is an artifact of family size, and cast doubt on the confluence and resource dilution models, both of which claim that birth order has a causal influence on children's cognitive development. The analyses suggest that birth order has no genuine causal effect on general intelligence.

Artificial Intelligence Procedures for Tree Taper Estimation within a Complex Vegetation Mosaic in Brazil

PubMed Central

Nunes, Matheus Henrique

2016-01-01

Tree stem form in native tropical forests is very irregular, posing a challenge to establishing taper equations that can accurately predict the diameter at any height along the stem and subsequently merchantable volume. Artificial intelligence approaches can be useful techniques in minimizing estimation errors within complex variations of vegetation. We evaluated the performance of Random Forest® regression tree and Artificial Neural Network procedures in modelling stem taper. Diameters and volume outside bark were compared to a traditional taper-based equation across a tropical Brazilian savanna, a seasonal semi-deciduous forest and a rainforest. Neural network models were found to be more accurate than the traditional taper equation. Random forest showed trends in the residuals from the diameter prediction and provided the least precise and accurate estimations for all forest types. This study provides insights into the superiority of a neural network, which provided advantages regarding the handling of local effects. PMID:27187074

Role of test motivation in intelligence testing.

PubMed

Duckworth, Angela Lee; Quinn, Patrick D; Lynam, Donald R; Loeber, Rolf; Stouthamer-Loeber, Magda

2011-05-10

Intelligence tests are widely assumed to measure maximal intellectual performance, and predictive associations between intelligence quotient (IQ) scores and later-life outcomes are typically interpreted as unbiased estimates of the effect of intellectual ability on academic, professional, and social life outcomes. The current investigation critically examines these assumptions and finds evidence against both. First, we examined whether motivation is less than maximal on intelligence tests administered in the context of low-stakes research situations. Specifically, we completed a meta-analysis of random-assignment experiments testing the effects of material incentives on intelligence-test performance on a collective 2,008 participants. Incentives increased IQ scores by an average of 0.64 SD, with larger effects for individuals with lower baseline IQ scores. Second, we tested whether individual differences in motivation during IQ testing can spuriously inflate the predictive validity of intelligence for life outcomes. Trained observers rated test motivation among 251 adolescent boys completing intelligence tests using a 15-min "thin-slice" video sample. IQ score predicted life outcomes, including academic performance in adolescence and criminal convictions, employment, and years of education in early adulthood. After adjusting for the influence of test motivation, however, the predictive validity of intelligence for life outcomes was significantly diminished, particularly for nonacademic outcomes. Collectively, our findings suggest that, under low-stakes research conditions, some individuals try harder than others, and, in this context, test motivation can act as a third-variable confound that inflates estimates of the predictive validity of intelligence for life outcomes.

Role of test motivation in intelligence testing

PubMed Central

Duckworth, Angela Lee; Quinn, Patrick D.; Lynam, Donald R.; Loeber, Rolf; Stouthamer-Loeber, Magda

2011-01-01

Intelligence tests are widely assumed to measure maximal intellectual performance, and predictive associations between intelligence quotient (IQ) scores and later-life outcomes are typically interpreted as unbiased estimates of the effect of intellectual ability on academic, professional, and social life outcomes. The current investigation critically examines these assumptions and finds evidence against both. First, we examined whether motivation is less than maximal on intelligence tests administered in the context of low-stakes research situations. Specifically, we completed a meta-analysis of random-assignment experiments testing the effects of material incentives on intelligence-test performance on a collective 2,008 participants. Incentives increased IQ scores by an average of 0.64 SD, with larger effects for individuals with lower baseline IQ scores. Second, we tested whether individual differences in motivation during IQ testing can spuriously inflate the predictive validity of intelligence for life outcomes. Trained observers rated test motivation among 251 adolescent boys completing intelligence tests using a 15-min “thin-slice” video sample. IQ score predicted life outcomes, including academic performance in adolescence and criminal convictions, employment, and years of education in early adulthood. After adjusting for the influence of test motivation, however, the predictive validity of intelligence for life outcomes was significantly diminished, particularly for nonacademic outcomes. Collectively, our findings suggest that, under low-stakes research conditions, some individuals try harder than others, and, in this context, test motivation can act as a third-variable confound that inflates estimates of the predictive validity of intelligence for life outcomes. PMID:21518867

Pathfinder, v7 n1, Jan/Feb 2009. Making an Intelligence Difference

DTIC Science & Technology

2009-02-01

ORGANIZATION NAME(S) AND ADDRESS(ES) National Geospatial-Intelligence Agency,Office of Corporate Communications,4600 Sangamore Road ,Bethesda,MD, 20816 ...Published by the National Geospatial-Intelligence Agency Office of Corporate Communications 4600 Sangamore Road, Mail Stop D-54 Bethesda, MD 20816

The Cultural Intelligence Level among International Students in Jordanian Universities

ERIC Educational Resources Information Center

Al-Jarrah, Abdelnaser

2016-01-01

This study investigated the level of cultural intelligence among international students and whether significant statistical differences could be found in their cultural intelligence at the level (a = 0.05) due to the students' gender and the nationality. To achieve the study aims, a cultural intelligence scale were adopted (Yordonova, 2011). The…

Intelligent transportation systems publications

DOT National Transportation Integrated Search

1996-01-01

This compendium focuses on projects that represent activities which have supported the evolution of the Intelligent Vehicle Initiative (IVI) and partly or totally funded by the Federal Highway Administration (FHWA) or the National Highway Traffic Saf...

A Flourishing Craft: Teaching Intelligence Studies

DTIC Science & Technology

1999-06-01

products of that process; and the carrying out of operations as requested by lawful authorities. INTELLIGENCE VS . POLICY One of the most fundamental...measures the effectiveness of covert action. Is it success vs . failure? How long a period is valid for judgment? For example, the 1951 coup in Iran...Library: Quantity vs . Quality,” Intelligence and National Security 2 (April 1987): 368-373.9 BIBLIOGRAPHY Barry

Cancer incidence estimates at the national and district levels in Colombia.

PubMed

Piñeros, Marion; Ferlay, Jacques; Murillo, Raúl

2006-01-01

To estimate national and district cancer incidence for 18 major cancer sites in Colombia. National and district incidence was estimated by applying a set of age, sex and site-specific incidence/mortality ratios, obtained from a population-based cancer registry, to national and regional mortality. The work was done in Bogotá (Colombia) and Lyon (France) between May 2003 and August 2004. The annual total number of cases expected (all cancers but skin) was 17 819 in men and 18 772 in women. Among males the most frequent cancers were those of the prostate (45.8 per 100 000), stomach (36.0), and lung (20.0). In females the most frequent were those of the cervix uteri (36.8 per 100 000), breast (30.0), and stomach (20.7). Districts with the lowest death certification coverage yielded the highest incidence rates. In the absence of national population-based cancer registry data, estimates of incidence provide valuable information at national and regional levels. As mortality data are an important source for the estimation,the quality of death certification should be considered as a possible cause of bias.

Intelligence and Past Use of Recreational Drugs

ERIC Educational Resources Information Center

Wilmoth, Daniel R.

2012-01-01

One motivation for trying recreational drugs is the desire for novel experiences. More intelligent people tend to value novelty more highly and may therefore be more likely to have tried recreational drugs. Using data from a national survey, it is shown that intelligence tends to be positively related to the probabilities of having tried alcohol,…

Intelligence Community Programs, Management, and Enduring Issues

DTIC Science & Technology

2016-11-08

proliferators, money launderers , drug kingpins, and other national security threats.” 110 The Senate Intelligence Committee report accompanying the IAA...and economic expertise. Financial intelligence analysts focus on terrorist financing, counterfeiting, money laundering , funds transfers, weapons...budgets provide resources ( money and manpower) considered necessary to accomplish IC goals, directives, duties and responsibilities defined by the U.S

Early-Life Intelligence Predicts Midlife Biological Age

PubMed Central

Caspi, Avshalom; Belsky, Daniel W.; Harrington, Honalee; Houts, Renate; Israel, Salomon; Levine, Morgan E.; Sugden, Karen; Williams, Benjamin; Poulton, Richie; Moffitt, Terrie E.

2016-01-01

Objectives: Early-life intelligence has been shown to predict multiple causes of death in populations around the world. This finding suggests that intelligence might influence mortality through its effects on a general process of physiological deterioration (i.e., individual variation in “biological age”). We examined whether intelligence could predict measures of aging at midlife before the onset of most age-related disease. Methods: We tested whether intelligence assessed in early childhood, middle childhood, and midlife predicted midlife biological age in members of the Dunedin Study, a population-representative birth cohort. Results: Lower intelligence predicted more advanced biological age at midlife as captured by perceived facial age, a 10-biomarker algorithm based on data from the National Health and Nutrition Examination Survey (NHANES), and Framingham heart age (r = 0.1–0.2). Correlations between intelligence and telomere length were less consistent. The associations between intelligence and biological age were not explained by differences in childhood health or parental socioeconomic status, and intelligence remained a significant predictor of biological age even when intelligence was assessed before Study members began their formal schooling. Discussion: These results suggest that accelerated aging may serve as one of the factors linking low early-life intelligence to increased rates of morbidity and mortality. PMID:26014827

75 FR 37253 - Classified National Security Information

Federal Register 2010, 2011, 2012, 2013, 2014

2010-06-28

..., Intelligence, National defense, National security information, Presidential documents, Security information... reveal the identity of a confidential human source or a human intelligence source or key design concepts... or a human intelligence source, the duration shall be up to 75 years and shall be designated with the...

Emotional intelligence is a second-stratum factor of intelligence: evidence from hierarchical and bifactor models.

PubMed

MacCann, Carolyn; Joseph, Dana L; Newman, Daniel A; Roberts, Richard D

2014-04-01

This article examines the status of emotional intelligence (EI) within the structure of human cognitive abilities. To evaluate whether EI is a 2nd-stratum factor of intelligence, data were fit to a series of structural models involving 3 indicators each for fluid intelligence, crystallized intelligence, quantitative reasoning, visual processing, and broad retrieval ability, as well as 2 indicators each for emotion perception, emotion understanding, and emotion management. Unidimensional, multidimensional, hierarchical, and bifactor solutions were estimated in a sample of 688 college and community college students. Results suggest adequate fit for 2 models: (a) an oblique 8-factor model (with 5 traditional cognitive ability factors and 3 EI factors) and (b) a hierarchical solution (with cognitive g at the highest level and EI representing a 2nd-stratum factor that loads onto g at λ = .80). The acceptable relative fit of the hierarchical model confirms the notion that EI is a group factor of cognitive ability, marking the expression of intelligence in the emotion domain. The discussion proposes a possible expansion of Cattell-Horn-Carroll theory to include EI as a 2nd-stratum factor of similar standing to factors such as fluid intelligence and visual processing.

Area-specific recreation use estimation using the national visitor use monitoring program data.

Treesearch

Eric M. White; Stanley J. Zarnoch; Donald B.K. English

2007-01-01

Estimates of national forest recreation use are available at the national, regional, and forest levels via the USDA Forest Service National Visitor Use Monitoring (NVUM) program. In some resource planning and management applications, analysts desire recreation use estimates for subforest areas within an individual national forest or for subforest areas that combine...

Building a national Infection Intelligence Platform to improve antimicrobial stewardship and drive better patient outcomes: the Scottish experience.

PubMed

Bennie, Marion; Malcolm, William; Marwick, Charis A; Kavanagh, Kimberley; Sneddon, Jean; Nathwani, Dilip

2017-10-01

The better use of new and emerging data streams to understand the epidemiology of infectious disease and to inform and evaluate antimicrobial stewardship improvement programmes is paramount in the global fight against antimicrobial resistance. To create a national informatics platform that synergizes the wealth of disjointed, infection-related health data, building an intelligence capability that allows rapid enquiry, generation of new knowledge and feedback to clinicians and policy makers. A multi-stakeholder community, led by the Scottish Antimicrobial Prescribing Group, secured government funding to deliver a national programme of work centred on three key aspects: (i) technical platform development with record linkage capability across multiple datasets; (ii) a proportionate governance approach to enhance responsiveness; and (iii) generation of new evidence to guide clinical practice. The National Health Service Scotland Infection Intelligence Platform (IIP) is now hosted within the national health data repository to assure resilience and sustainability. New technical solutions include simplified 'data views' of complex, linked datasets and embedded statistical programs to enhance capability. These developments have enabled responsiveness, flexibility and robustness in conducting population-based studies including a focus on intended and unintended effects of antimicrobial stewardship interventions and quantification of infection risk factors and clinical outcomes. We have completed the build and test phase of IIP, overcoming the technical and governance challenges, and produced new capability in infection informatics, generating new evidence for improved clinical practice. This provides a foundation for expansion and opportunity for global collaborations. © The Author 2017. Published by Oxford University Press on behalf of the British Society for Antimicrobial Chemotherapy. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Flood estimates for ungaged streams in Glacier and Yellowstone National Parks, Montana

USGS Publications Warehouse

Omang, R.J.; Parrett, Charles; Hull, J.A.

1983-01-01

Estimates of 100-year discharges were made at 59 sites in Glacier National Park and 21 sites in Yellowstone National Park to assist the National Park Services in quantifying stream inflow and outflow in the Parks. The estimates were made using regression equations previously developed for Montana. The resulting 100-year discharges are listed in tables; the discharges ranged from 260 to 53,200 cu ft/s in Glacier National Park and from 110 to 27,900 cu ft/s in Yellowstone National Park. (USGS)

Assessing the Effectiveness of Post-9/11 Intelligence Information Sharing

DTIC Science & Technology

2010-03-01

distribution unlimited. 13. SUPPLEMENTARY NOTES 14. ABSTRACT see attached 15. SUBJECT TERMS 16. SECURITY CLASSIFICATION OF: 17. LIMITATION OF ABSTRACT...March 2010 WORD COUNT: 5,677 PAGES: 30 KEY TERMS: Intelligence Reform, Intelligence Sharing, 9/11 Commission, Homeland Security , National Security ...such as the creation of the Department of Homeland Security (DHS). In fact, both the 2007 National Strategy for Information Sharing and the IC’s

Laser formed intentional firearm microstamping technology: counterinsurgency intelligence gathering tool

NASA Astrophysics Data System (ADS)

Lizotte, Todd E.; Ohar, Orest P.

2009-09-01

Warfare relies on effective, accurate and timely intelligence an especially critical task when conducting a counterinsurgency operation [1]. Simply stated counterinsurgency is an intelligence war. Both insurgents and counterinsurgents need effective intelligence capabilities to be successful. Insurgents and counterinsurgents therefore attempt to create and maintain intelligence networks and fight continuously to neutralize each other's intelligence capabilities [1][2]. In such an environment it is obviously an advantage to target or proactively create opportunities to track and map an insurgent movement. Quickly identifying insurgency intelligence assets (Infiltrators) within a host government's infrastructure is the goal. Infiltrators can occupy various areas of government such as security personnel, national police force, government offices or military units. Intentional Firearm Microstamping offers such opportunities when implemented into firearms. Outfitted within firearms purchased and distributed to the host nation's security forces (civilian and military), Intentional Firearm Microstamping (IFM) marks bullet cartridge casings with codes as they are fired from the firearm. IFM is incorporated onto optimum surfaces with the firearm mechanism. The intentional microstamp tooling marks can take the form of alphanumeric codes or encoded geometric codes that identify the firearm. As the firearm is discharged the intentional tooling marks transfer a code to the cartridge casing which is ejected out of the firearm. When recovered at the scene of a firefight or engagement, the technology will provide forensic intelligence allowing the mapping and tracking of small arms traffic patterns within the host nation or identify insurgency force strength and pinpoint firearm sources, such as corrupt/rogue military units or police force. Intentional Firearm Microstamping is a passive mechanical trace technology that can be outfitted or retrofitted to semiautomatic handguns and

The climate change performance scorecard and carbon estimates for national forest

Treesearch

John W. Coulston; Kellen Nelson; Christopher W. Woodall; David Meriwether; Gregory A. Reams

2012-01-01

The U.S. Forest Service manages 20 percent of the forest land in the United States. Both the Climate Change Performance Scorecard and the revised National Forest Management Act require the assessment of carbon stocks on these lands. We present circa 2010 estimates of carbon stocks for each national forest and recommendations to improve these estimates.

Intelligent Transportation Systems : critical standards

DOT National Transportation Integrated Search

1999-06-01

Intelligent Transportation Systems (ITS) standards are industry-consensus standards that provide the details about how different systems interconnect and communicate information to deliver the ITS user services described in the National ITS Architect...

Estimation of premorbid general fluid intelligence using traditional Chinese reading performance in Taiwanese samples.

PubMed

Chen, Ying-Jen; Ho, Meng-Yang; Chen, Kwan-Ju; Hsu, Chia-Fen; Ryu, Shan-Jin

2009-08-01

The aims of the present study were to (i) investigate if traditional Chinese word reading ability can be used for estimating premorbid general intelligence; and (ii) to provide multiple regression equations for estimating premorbid performance on Raven's Standard Progressive Matrices (RSPM), using age, years of education and Chinese Graded Word Reading Test (CGWRT) scores as predictor variables. Four hundred and twenty-six healthy volunteers (201 male, 225 female), aged 16-93 years (mean +/- SD, 41.92 +/- 18.19 years) undertook the tests individually under supervised conditions. Seventy percent of subjects were randomly allocated to the derivation group (n = 296), and the rest to the validation group (n = 130). RSPM score was positively correlated with CGWRT score and years of education. RSPM and CGWRT scores and years of education were also inversely correlated with age, but the declining trend for RSPM performance against age was steeper than that for CGWRT performance. Separate multiple regression equations were derived for estimating RSPM scores using different combinations of age, years of education, and CGWRT score for both groups. The multiple regression coefficient of each equation ranged from 0.71 to 0.80 with the standard error of estimate between 7 and 8 RSPM points. When fitting the data of one group to the equations derived from its counterpart group, the cross-validation multiple regression coefficients ranged from 0.71 to 0.79. There were no significant differences in the 'predicted-obtained' RSPM discrepancies between any equations. The regression equations derived in the present study may provide a basis for estimating premorbid RSPM performance.

Machine intelligence and robotics: Report of the NASA study group

NASA Technical Reports Server (NTRS)

1980-01-01

Opportunities for the application of machine intelligence and robotics in NASA missions and systems were identified. The benefits of successful adoption of machine intelligence and robotics techniques were estimated and forecasts were prepared to show their growth potential. Program options for research, advanced development, and implementation of machine intelligence and robot technology for use in program planning are presented.

Progress toward national estimates of police use of force

PubMed Central

Garner, Joel H.; Malega, Ronald W.; Maxwell, Christopher D.

2018-01-01

This research builds on three decades of effort to produce national estimates of the amount and rate of force used by law enforcement officers in the United States. Prior efforts to produce national estimates have suffered from poor and inconsistent measurements of force, small and unrepresentative samples, low survey and/or item response rates, and disparate reporting of rates of force. The present study employs data from a nationally representative survey of state and local law enforcement agencies that has a high survey response rate as well as a relatively high rate of reporting uses of force. Using data on arrests for violent offenses and the number of sworn officers to impute missing data on uses of force, we estimate a total of 337,590 use of physical force incidents among State and local law enforcement agencies during 2012 with a 95 percent confidence interval of +/- 10,470 incidents or +/- 3.1 percent. This article reports the extent to which the number and rate of force incidents vary by the type and size of law enforcement agencies. Our findings demonstrate the willingness of a large proportion of law enforcement agencies to voluntarily report the amount of force used by their officers and the relative strengths and weaknesses of the Law Enforcement Management and Administrative Statistics (LEMAS) program to produce nationally representative information about police behavior. PMID:29447295

Early-Life Intelligence Predicts Midlife Biological Age.

PubMed

Schaefer, Jonathan D; Caspi, Avshalom; Belsky, Daniel W; Harrington, Honalee; Houts, Renate; Israel, Salomon; Levine, Morgan E; Sugden, Karen; Williams, Benjamin; Poulton, Richie; Moffitt, Terrie E

2016-11-01

Early-life intelligence has been shown to predict multiple causes of death in populations around the world. This finding suggests that intelligence might influence mortality through its effects on a general process of physiological deterioration (i.e., individual variation in "biological age"). We examined whether intelligence could predict measures of aging at midlife before the onset of most age-related disease. We tested whether intelligence assessed in early childhood, middle childhood, and midlife predicted midlife biological age in members of the Dunedin Study, a population-representative birth cohort. Lower intelligence predicted more advanced biological age at midlife as captured by perceived facial age, a 10-biomarker algorithm based on data from the National Health and Nutrition Examination Survey (NHANES), and Framingham heart age (r = 0.1-0.2). Correlations between intelligence and telomere length were less consistent. The associations between intelligence and biological age were not explained by differences in childhood health or parental socioeconomic status, and intelligence remained a significant predictor of biological age even when intelligence was assessed before Study members began their formal schooling. These results suggest that accelerated aging may serve as one of the factors linking low early-life intelligence to increased rates of morbidity and mortality. © The Author 2015. Published by Oxford University Press on behalf of The Gerontological Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Studies in Intelligence. Volume 52, Number 4, December 2008

DTIC Science & Technology

2008-12-01

Decline and Fall of the CIA by Melvin A. Goodmandies in Intelligence Vol. 52, No. 4 (Extracts, December 2008) i In the Common Defense: National...a visiting professor at the Department of War Stud- ies , King’s College London. He has been his government’s Security and Intelligence Coordinator...wide intelligence stud- ies literature. In their essay they will normally choose the one approach with which they have come to feel most com

Robust and intelligent bearing estimation

DOEpatents

Claassen, John P.

2000-01-01

A method of bearing estimation comprising quadrature digital filtering of event observations, constructing a plurality of observation matrices each centered on a time-frequency interval, determining for each observation matrix a parameter such as degree of polarization, linearity of particle motion, degree of dyadicy, or signal-to-noise ratio, choosing observation matrices most likely to produce a set of best available bearing estimates, and estimating a bearing for each observation matrix of the chosen set.

Strategic Intelligence and National Security. A Selected Bibliography

DTIC Science & Technology

1991-09-01

McCann & Geoghegan, 1981. (MHI D810 S7R39 1981) Rendel , Alexander M. APPOIINTMENT IN CRETE: THE STORY OF A BRITISH AGENT. London: Wlngate, 1953. (MHI...UB250 I 57) Mathams, R.H. SUB ROSA: MEMOIRS OF AN AUSTRALIAN INTELLIGENCE ANALYST. Boston: Allen & Unwin, 1902. (UB251 A8M37) Phelps, Ruth H.; Englert

Strategic Intelligence and National Security. A Selected Bibliography

DTIC Science & Technology

1992-09-01

Rendel , Alexander M. APPOINTMENT IN CRETE: THE STORY OF A BRITISH \\GENT. London: Wingate, 1953. (MHI D810 $8R4) THE ROTE KAPELLE: THE CIA’s HISTORY OF...MEMOIRS OF AN AUSTRALIAN INTELLIGENCE ANALYST. Boston: Allen & Unwin. 1982. (UB251 A8M37) Phelps, Ruth H.; Englert, Judith A.; and Mutter, Sharon A

The Federal Conference on Intelligent Processing Equipment

NASA Technical Reports Server (NTRS)

1992-01-01

Research and development projects involving intelligent processing equipment within the following U.S. agencies are addressed: Department of Agriculture, Department of Commerce, Department of Energy, Department of Defense, Environmental Protection Agency, Federal Emergency Management Agency, NASA, National Institutes of Health, and the National Science Foundation.

Polish Adult Reading Test (PART) - construction of Polish test for estimating the level of premorbid intelligence in schizophrenia.

PubMed

Karakuła-Juchnowicz, Hanna; Stecka, Mariola

2017-08-29

In view of unavailability in Poland of the standardized methods to measure PIQ, the aim of the work was to develop a Polish test to assess the premorbid level of intelligence - PART(Polish AdultReading Test) and to measureits psychometric properties, such as validity, reliability as well as standardization in the group of schizophrenia patients. The principles of PART construction were based on the idea of popular worldwide National Adult Reading Test by Hazel Nelson. The research comprised a group of 122 subjects (65 schizophrenia patients and 57 healthy people), aged 18-60 years, matched for age and gender. PART appears to be a method with high internal consistency and reliability measured by test-retest, inter-rater reliability, and the method with acceptable diagnostic and prognostic validity. The standardized procedures of PART have been investigated and described. Considering the psychometric values of PART and a short time of its performance, the test may be a useful diagnostic instrument in the assessment of premorbid level of intelligence in a group of schizophrenic patients.

Imputing forest carbon stock estimates from inventory plots to a nationally continuous coverage

Treesearch

Barry Tyler Wilson; Christopher W. Woodall; Douglas M. Griffith

2013-01-01

The U.S. has been providing national-scale estimates of forest carbon (C) stocks and stock change to meet United Nations Framework Convention on Climate Change (UNFCCC) reporting requirements for years. Although these currently are provided as national estimates by pool and year to meet greenhouse gas monitoring requirements, there is growing need to disaggregate these...

Studies in Intelligence. Volume 55, Number 3

DTIC Science & Technology

2011-09-01

hearing, Director of National Intelligence (DNI) James R. Clapper noted the need for a single repository of terrorism- related data as a foundation...A CIA Memoir by Stuart Methven The Making And Breaking Of An American Spy, by James Everett Intelligence Abroad Ashraf Marwan, Israel’s Most Valuable...Bureau cases. He includes bio - graphical details about special agents and illu- minates the often frustrating bureaucratic culture in which they

Does WISC-IV Underestimate the Intelligence of Autistic Children?

PubMed

Nader, Anne-Marie; Courchesne, Valérie; Dawson, Michelle; Soulières, Isabelle

2016-05-01

Wechsler Intelligence Scale for Children (WISC) is widely used to estimate autistic intelligence (Joseph in The neuropsychology of autism. Oxford University Press, Oxford, 2011; Goldstein et al. in Assessment of autism spectrum disorders. Guilford Press, New York, 2008; Mottron in J Autism Dev Disord 34(1):19-27, 2004). However, previous studies suggest that while WISC-III and Raven's Progressive Matrices (RPM) provide similar estimates of non-autistic intelligence, autistic children perform significantly better on RPM (Dawson et al. in Psychol Sci 18(8):657-662, doi: 10.1111/j.1467-9280.2007.01954.x , 2007). The latest WISC version introduces substantial changes in subtests and index scores; thus, we asked whether WISC-IV still underestimates autistic intelligence. Twenty-five autistic and 22 typical children completed WISC-IV and RPM. Autistic children's RPM scores were significantly higher than their WISC-IV FSIQ, but there was no significant difference in typical children. Further, autistic children showed a distinctively uneven WISC-IV index profile, with a "peak" in the new Perceptual Reasoning Index. In spite of major changes, WISC-IV FSIQ continues to underestimate autistic intelligence.

A Strain-Based Method to Detect Tires' Loss of Grip and Estimate Lateral Friction Coefficient from Experimental Data by Fuzzy Logic for Intelligent Tire Development.

PubMed

Yunta, Jorge; Garcia-Pozuelo, Daniel; Diaz, Vicente; Olatunbosun, Oluremi

2018-02-06

Tires are a key sub-system of vehicles that have a big responsibility for comfort, fuel consumption and traffic safety. However, current tires are just passive rubber elements which do not contribute actively to improve the driving experience or vehicle safety. The lack of information from the tire during driving gives cause for developing an intelligent tire. Therefore, the aim of the intelligent tire is to monitor tire working conditions in real-time, providing useful information to other systems and becoming an active system. In this paper, tire tread deformation is measured to provide a strong experimental base with different experiments and test results by means of a tire fitted with sensors. Tests under different working conditions such as vertical load or slip angle have been carried out with an indoor tire test rig. The experimental data analysis shows the strong relation that exists between lateral force and the maximum tensile and compressive strain peaks when the tire is not working at the limit of grip. In the last section, an estimation system from experimental data has been developed and implemented in Simulink to show the potential of strain sensors for developing intelligent tire systems, obtaining as major results a signal to detect tire's loss of grip and estimations of the lateral friction coefficient.

Development of a head impact monitoring "Intelligent Mouthguard".

PubMed

Hedin, Daniel S; Gibson, Paul L; Bartsch, Adam J; Samorezov, Sergey

2016-08-01

The authors present the development and laboratory system-level testing of an impact monitoring "Intelligent Mouthguard" intended to help with identification of potentially concussive head impacts and cumulative head impact dosage. The goal of Intelligent Mouthguard is to provide an indicator of potential concussion risk, and help caregiver identify athletes needing sideline concussion protocol testing. Intelligent Mouthguard may also help identify individuals who are at higher risk based on historical dosage. Intelligent Mouthguard integrates inertial sensors to provide 3-degree of freedom linear and rotational kinematics. The electronics are fully integrated into a custom mouthguard that couples tightly to the upper teeth. The combination of tight coupling and highly accurate sensor data means the Intelligent Mouthguard meets the National Football League (NFL) Level I validity specification based on laboratory system-level test data presented in this study.

Panel Discussion: Near Real Time Imagery Intelligence How Will We Do It?

NASA Astrophysics Data System (ADS)

Andraitis, Arthur A.; Crane, Alfred C.; Daniels, George; Graham, Johnny; LaGesse, Francis R.

1987-02-01

This afternoon's panel discussion will address near real time imagery and intelligence--how will we do it? Our moderator is Arthur Andraitis, a consultant in intelligence reconnaissance systems and international marketing. He was commissioned in the United States Air Force out of the University of Idaho, and entered the Air Force in 1955 where he became an Image Intelligence Officer serving in a variety of intelligence and reconnaisance related assignments, including two tours each in Asia and Europe supporting tactical theater and national level operations. He also suffered through two Pentagon tours--one as Branch Chief of the Imagery Branch for the Assistant Chief of Staff for Intelligence. He was the U. S. National Coordinator for two NATO intelligence and reconnaissance panels, and served several assignments in support of special operations, which included a year with the special forces in Viet Nam where he flew many missions in L-19s, 01 and assault helicopters. He has been an advisor on intelligence and reconnaissance matters to several foreign countries. In 1978 he retired from the United States Air Force, went to work for Itek, and then became an independent consultant in intelligence and reconaissance systems. I would like to introduce Art Andraitis.

Distributed Problem Solving: Adaptive Networks with a Computer Intermediary Resource. Intelligent Executive Computer Communication

DTIC Science & Technology

1991-06-01

Proceedings of The National Conference on Artificial Intelligence , pages 181-184, The American Association for Aritificial Intelligence , Pittsburgh...Intermediary Resource: Intelligent Executive Computer Communication John Lyman and Carla J. Conaway University of California at Los Angeles for Contracting...Include Security Classification) Interim Report: Distributed Problem Solving: Adaptive Networks With a Computer Intermediary Resource: Intelligent

National Intelligence University’s Role in Interagency Research: Recommendations from the Intelligence Community

DTIC Science & Technology

2013-01-01

outreach, and (4) social science and historical research/lessons learned . In some instances, the research entity fit into more than one category. We...Bureau of Intelligence and Research (INR) and the Analytic Outreach Initiative (AOI) at ODNI. Social science and historical research/lessons learned ...its coordination efforts, CSIR was interested in learning more about potential interagency research partners and how collaboration could be improved

The development of an intelligent user interface for NASA's scientific databases

NASA Technical Reports Server (NTRS)

Campbell, William J.; Roelofs, Larry H.

1986-01-01

The National Space Science Data Center (NSSDC) has initiated an Intelligent Data Management (IDM) research effort which has as one of its components, the development of an Intelligent User Interface (IUI). The intent of the IUI effort is to develop a friendly and intelligent user interface service that is based on expert systems and natural language processing technologies. This paper presents the design concepts, development approach and evaluation of performance of a prototype Intelligent User Interface Subsystem (IUIS) supporting an operational database.

Effects of Speaking Task on Intelligibility in Parkinson's Disease

ERIC Educational Resources Information Center

Tjaden, Kris; Wilding, Greg

2011-01-01

Intelligibility tests for dysarthria typically provide an estimate of overall severity for speech materials elicited through imitation or read from a printed script. The extent to which these types of tasks and procedures reflect intelligibility for extemporaneous speech is not well understood. The purpose of this study was to compare…

Does WISC-IV Underestimate the Intelligence of Autistic Children?

ERIC Educational Resources Information Center

Nader, Anne-Marie; Courchesne, Valérie; Dawson, Michelle; Soulières, Isabelle

2016-01-01

Wechsler Intelligence Scale for Children (WISC) is widely used to estimate autistic intelligence (Joseph in The neuropsychology of autism. Oxford University Press, Oxford, 2011; Goldstein et al. in "Assessment of autism spectrum disorders." Guilford Press, New York, 2008; Mottron in "J Autism Dev Disord" 34(1):19-27, 2004).…

Intelligent Tutor

NASA Technical Reports Server (NTRS)

1990-01-01

NASA also seeks to advance American education by employing the technology utilization process to develop a computerized, artificial intelligence-based Intelligent Tutoring System (ITS) to help high school and college physics students. The tutoring system is designed for use with the lecture and laboratory portions of a typical physics instructional program. Its importance lies in its ability to observe continually as a student develops problem solutions and to intervene when appropriate with assistance specifically directed at the student's difficulty and tailored to his skill level and learning style. ITS originated as a project of the Johnson Space Center (JSC). It is being developed by JSC's Software Technology Branch in cooperation with Dr. R. Bowen Loftin at the University of Houston-Downtown. Program is jointly sponsored by NASA and ACOT (Apple Classrooms of Tomorrow). Other organizations providing support include Texas Higher Education Coordinating Board, the National Research Council, Pennzoil Products Company and the George R. Brown Foundation. The Physics I class of Clear Creek High School, League City, Texas are providing the classroom environment for test and evaluation of the system. The ITS is a spinoff product developed earlier to integrate artificial intelligence into training/tutoring systems for NASA astronauts flight controllers and engineers.

Estimating National-scale Emissions using Dense Monitoring Networks

NASA Astrophysics Data System (ADS)

Ganesan, A.; Manning, A.; Grant, A.; Young, D.; Oram, D.; Sturges, W. T.; Moncrieff, J. B.; O'Doherty, S.

2014-12-01

The UK's DECC (Deriving Emissions linked to Climate Change) network consists of four greenhouse gas measurement stations that are situated to constrain emissions from the UK and Northwest Europe. These four stations are located in Mace Head (West Coast of Ireland), and on telecommunication towers at Ridge Hill (Western England), Tacolneston (Eastern England) and Angus (Eastern Scotland). With the exception of Angus, which currently only measures carbon dioxide (CO2) and methane (CH4), the remaining sites are additionally equipped to monitor nitrous oxide (N2O). We present an analysis of the network's CH4 and N2O observations from 2011-2013 and compare derived top-down regional emissions with bottom-up inventories, including a recently produced high-resolution inventory (UK National Atmospheric Emissions Inventory). As countries are moving toward national-level emissions estimation, we also address some of the considerations that need to be made when designing these national networks. One of the novel aspects of this work is that we use a hierarchical Bayesian inversion framework. This methodology, which has newly been applied to greenhouse gas emissions estimation, is designed to estimate temporally and spatially varying model-measurement uncertainties and correlation scales, in addition to fluxes. Through this analysis, we demonstrate the importance of characterizing these covariance parameters in order to properly use data from high-density monitoring networks. This UK case study highlights the ways in which this new inverse framework can be used to address some of the limitations of traditional Bayesian inverse methods.

Estimating ecosystem carbon stocks at Redwood National and State Parks

USGS Publications Warehouse

van Mantgem, Phillip J.; Madej, Mary Ann; Seney, Joseph; Deshais, Janelle

2013-01-01

Accounting for ecosystem carbon is increasingly important for park managers. In this case study we present our efforts to estimate carbon stocks and the effects of management on carbon stocks for Redwood National and State Parks in northern California. Using currently available information, we estimate that on average these parks’ soils contain approximately 89 tons of carbon per acre (200 Mg C per ha), while vegetation contains about 130 tons C per acre (300 Mg C per ha). estoration activities at the parks (logging-road removal, second-growth forest management) were shown to initially reduce ecosystem carbon, but may provide for enhanced ecosystem carbon storage over the long term. We highlight currently available tools that could be used to estimate ecosystem carbon at other units of the National Park System.

Edge Response and NIIRS Estimates for Commercial Remote Sensing Satellites

NASA Technical Reports Server (NTRS)

Blonski, Slawomir; Ryan, Robert E.; Pagnutti, mary; Stanley, Thomas

2006-01-01

Spatial resolution of panchromatic imagery from commercial remote sensing satellites was characterized based on edge response measurements using edge targets and the tilted-edge technique. Relative Edge Response (RER) was estimated as a geometric mean of normalized edge response differences measured in two directions of image pixels at points distanced from the edge by -0.5 and 0.5 of ground sample distance. RER is one of the engineering parameters used in the General Image Quality Equation to provide predictions of imaging system performance expressed in terms of the National Imagery Interpretability Rating Scale (NIIRS). By assuming a plausible range of signal-to-noise ratio and assessing the effects of Modulation Transfer Function compensation, the NIIRS estimates were made and then compared with vendor-provided values and evaluations conducted by the National Geospatial-Intelligence Agency.

Intelligent transportation systems : incorporating the consumer

DOT National Transportation Integrated Search

1999-05-01

Intelligent Transportation Systems (ITS) techniques are improving mobility for travelers throughout the nation and world. To date, ITS has largely been the focus of professionals who are applying innovative methods to complicated traffic and travel i...

The nexus of suicide prevalence, helping behavior, pace of life, affluence, and intelligence: contrary results from comparisons across nations and within the United States.

PubMed

Voracek, Martin

2007-12-01

This study examined interrelations among suicide prevalence, affluence, intelligence, pace of life, and helping behavior on the level of aggregate analysis, both cross-nationally and within the USA, using four extant data sets (8, 15, and 29 countries; and 17 U.S. states) for the latter two variables. Pertaining to the association of suicide rates with pace of life, the results replicated discrepant previous findings of Lester. Across nations, suicide is more prevalent in populations living in faster environments, whereas within the USA suicide rates are higher in slower environments. Further, seen from an international perspective, there appears to be a nexus of variables, such that more people tend to commit suicide in the more affluent and faster environments which are populated by more intelligent, but less friendly, individuals. Within the USA, the direction of the correlations of suicide prevalence with these four variables is exactly reversed. Possible reasons for these opposed findings and implications for research are discussed.

Cross-national comparability of burden of disease estimates: the European Disability Weights Project.

PubMed Central

Essink-Bot, Marie-Louise; Pereira, Joaquin; Packer, Claire; Schwarzinger, Michael; Burstrom, Kristina

2002-01-01

OBJECTIVE: To investigate the sources of cross-national variation in disability-adjusted life-years (DALYs) in the European Disability Weights Project. METHODS: Disability weights for 15 disease stages were derived empirically in five countries by means of a standardized procedure and the cross-national differences in visual analogue scale (VAS) scores were analysed. For each country the burden of dementia in women, used as an illustrative example, was estimated in DALYs. An analysis was performed of the relative effects of cross-national variations in demography, epidemiology and disability weights on DALY estimates. FINDINGS: Cross-national comparison of VAS scores showed almost identical ranking orders. After standardization for population size and age structure of the populations, the DALY rates per 100000 women ranged from 1050 in France to 1404 in the Netherlands. Because of uncertainties in the epidemiological data, the extent to which these differences reflected true variation between countries was difficult to estimate. The use of European rather than country-specific disability weights did not lead to a significant change in the burden of disease estimates for dementia. CONCLUSIONS: Sound epidemiological data are the first requirement for burden of disease estimation and relevant between-countries comparisons. DALY estimates for dementia were relatively insensitive to differences in disability weights between European countries. PMID:12219156

An Overview of the United States Intelligence Community

DTIC Science & Technology

2007-01-01

PROGRAM ELEMENT NUMBER 6. AUTHOR(S) 5d. PROJECT NUMBER 5e. TASK NUMBER 5f. WORK UNIT NUMBER 7. PERFORMING ORGANIZATION NAME(S) AND ADDRESS(ES...Office of the Director of National Intelligence,Washington,DC,20511 8. PERFORMING ORGANIZATION REPORT NUMBER 9. SPONSORING/MONITORING AGENCY NAME(S...based on budget proposals provided by IC component organizations . ü Oversee coordination of relationships with the intelligence or security services

Utility of an abbreviated version of the stanford-binet intelligence scales (5th ed.) in estimating 'full scale' IQ for young children with autism spectrum disorder.

PubMed

Twomey, Conal; O'Connell, Helen; Lillis, Mary; Tarpey, Sarah Louise; O'Reilly, Gary

2018-03-01

The fifth edition of the Stanford-Binet Intelligence scales allows 'full scale' IQ (FSIQ) to be estimated using an abridged version of the test-the abbreviated battery IQ (ABIQ). Set within a public early intervention team service, the current cross-sectional study investigated the utility of the ABIQ in estimating FSIQ for 40 children with autism spectrum disorder (ASD) aged 3-5 years. A strong ABIQ-FSIQ association was yielded (r = 0.89; r 2  = 0.808) and the ABIQ did not over-estimate mean FSIQ above a clinically-relevant threshold; however, clinically significant over-estimation occurred in 17.5% of individual cases. While the findings provide support for the utility of the ABIQ in estimating FSIQ for young children with ASD, caution relating to the over-estimation of FSIQ is warranted. Careful clinical judgment-ideally based on examination of previous cognitive assessment results (if available), thorough interactional observations, and close multi-disciplinary consultation-is necessary to determine the applicability of the ABIQ to individual cases. Autism Res 2018, 11: 503-508. © 2017 International Society for Autism Research, Wiley Periodicals, Inc. We investigated the utility of a shortened version of the Stanford-Binet Intelligence Scales in estimating IQ for 40 young children with autism spectrum disorder (ASD). The findings provide qualified support for the instrument: acceptably accurate IQ estimation was achieved for most cases; but not so for a sizeable minority (17.5%). Careful clinical judgment is necessary to determine the applicability of the ABIQ to individual cases. © 2017 International Society for Autism Research, Wiley Periodicals, Inc.

A Strain-Based Method to Detect Tires’ Loss of Grip and Estimate Lateral Friction Coefficient from Experimental Data by Fuzzy Logic for Intelligent Tire Development

PubMed Central

Garcia-Pozuelo, Daniel; Diaz, Vicente; Olatunbosun, Oluremi

2018-01-01

Tires are a key sub-system of vehicles that have a big responsibility for comfort, fuel consumption and traffic safety. However, current tires are just passive rubber elements which do not contribute actively to improve the driving experience or vehicle safety. The lack of information from the tire during driving gives cause for developing an intelligent tire. Therefore, the aim of the intelligent tire is to monitor tire working conditions in real-time, providing useful information to other systems and becoming an active system. In this paper, tire tread deformation is measured to provide a strong experimental base with different experiments and test results by means of a tire fitted with sensors. Tests under different working conditions such as vertical load or slip angle have been carried out with an indoor tire test rig. The experimental data analysis shows the strong relation that exists between lateral force and the maximum tensile and compressive strain peaks when the tire is not working at the limit of grip. In the last section, an estimation system from experimental data has been developed and implemented in Simulink to show the potential of strain sensors for developing intelligent tire systems, obtaining as major results a signal to detect tire’s loss of grip and estimations of the lateral friction coefficient. PMID:29415513

The process of deforestation in weak democracies and the role of Intelligence.

PubMed

Obydenkova, Anastassia; Nazarov, Zafar; Salahodjaev, Raufhon

2016-07-01

This article examines the interconnection between national intelligence, political institutions, and the mismanagement of public resources (deforestations). The paper examines the reasons for deforestation and investigates the factors accountable for it. The analysis builds on authors-compiled cross-national dataset on 185 countries over the time period of twenty years, from 1990 to 2010. We find that, first, nation's intelligence reduces significantly the level of deforestation in a state. Moreover, the nations' IQ seems to play an offsetting role in the natural resource conservation (forest management) in the countries with weak democratic institutions. The analysis also discovered the presence of the U-shaped relationship between democracy and deforestation. Intelligence sheds more light on this interconnection and explains the results. Our results are robust to various sample selection strategies and model specifications. The main implication from our study is that intelligence not only shapes formal rules and informal regulations such as social trust, norms and traditions but also it has the ability to reverse the paradoxical process known as "resource curse." The study contributes to better understanding of reasons of deforestation and shed light on the debated impact of political regime on forest management. Copyright © 2016 Elsevier Inc. All rights reserved.

Self-reported physical activity among blacks: estimates from national surveys.

PubMed

Whitt-Glover, Melicia C; Taylor, Wendell C; Heath, Gregory W; Macera, Caroline A

2007-11-01

National surveillance data provide population-level estimates of physical activity participation, but generally do not include detailed subgroup analyses, which could provide a better understanding of physical activity among subgroups. This paper presents a descriptive analysis of self-reported regular physical activity among black adults using data from the 2003 Behavioral Risk Factor Surveillance System (n=19,189), the 2004 National Health Interview Survey (n=4263), and the 1999-2004 National Health and Nutrition Examination Survey (n=3407). Analyses were conducted between January and March 2006. Datasets were analyzed separately to estimate the proportion of black adults meeting national physical activity recommendations overall and stratified by gender and other demographic subgroups. The proportion of black adults reporting regular PA ranged from 24% to 36%. Regular physical activity was highest among men; younger age groups; highest education and income groups; those who were employed and married; overweight, but not obese, men; and normal-weight women. This pattern was consistent across surveys. The observed physical activity patterns were consistent with national trends. The data suggest that older black adults and those with low education and income levels are at greatest risk for inactive lifestyles and may require additional attention in efforts to increase physical activity in black adults. The variability across datasets reinforces the need for objective measures in national surveys.

Rasch Analysis of Word Identification and Magnitude Estimation Scaling Responses in Measuring Naive Listeners' Judgments of Speech Intelligibility of Children with Severe-to-Profound Hearing Impairments

ERIC Educational Resources Information Center

Beltyukova, Svetlana A.; Stone, Gregory M.; Ellis, Lee W.

2008-01-01

Purpose: Speech intelligibility research typically relies on traditional evidence of reliability and validity. This investigation used Rasch analysis to enhance understanding of the functioning and meaning of scores obtained with 2 commonly used procedures: word identification (WI) and magnitude estimation scaling (MES). Method: Narrative samples…

National Estimates of Recovery-Remission From Serious Mental Illness.

PubMed

Salzer, Mark S; Brusilovskiy, Eugene; Townley, Greg

2018-05-01

A broad range of estimates of recovery among previously institutionalized persons has been reported, but no current, community-based national estimate of recovery from serious mental illness exists. This study reports recovery rate results, based on a remission definition, and explores related demographic factors. A national, geographically stratified, and random cross-sectional survey conducted from September 2014 to December 2015 resulted in responses from more than 41,000 individuals. Lifetime prevalence of serious mental illness was assessed by asking about receipt of a diagnosis (major depression, bipolar disorder, manic depression, and schizophrenia or schizoaffective disorder) and hospitalization and impairment associated with the diagnosis. Recovery was determined by asking about impairments over the past 12 months. Almost 17% reported receiving one of the diagnoses in their lifetime, 6% had a lifetime rate of a serious mental illness, and nearly 4% continued to experience interference associated with serious mental illness. One-third of those with a lifetime serious mental illness reported having been in remission for at least the past 12 months. Recovery rates were low until age 32 and then progressively increased. Lifetime estimates of diagnosed illness and current prevalence of serious mental illness are consistent with previous research. Results indicate that recovery is possible and is associated with age. Further research is needed to understand factors that promote recovery, and sustained evaluation efforts using similar parsimonious approaches may be useful in conducting timely assessments of national and local mental health policies.

Compression in Working Memory and Its Relationship With Fluid Intelligence.

PubMed

Chekaf, Mustapha; Gauvrit, Nicolas; Guida, Alessandro; Mathy, Fabien

2018-06-01

Working memory has been shown to be strongly related to fluid intelligence; however, our goal is to shed further light on the process of information compression in working memory as a determining factor of fluid intelligence. Our main hypothesis was that compression in working memory is an excellent indicator for studying the relationship between working-memory capacity and fluid intelligence because both depend on the optimization of storage capacity. Compressibility of memoranda was estimated using an algorithmic complexity metric. The results showed that compressibility can be used to predict working-memory performance and that fluid intelligence is well predicted by the ability to compress information. We conclude that the ability to compress information in working memory is the reason why both manipulation and retention of information are linked to intelligence. This result offers a new concept of intelligence based on the idea that compression and intelligence are equivalent problems. Copyright © 2018 Cognitive Science Society, Inc.

A Special Relationship: Bridging the NATO Intelligence Gap

DTIC Science & Technology

2013-06-01

the uncertainty of a NATO-Soviet ground war on the plains of central Europe.15 As the Soviet Union disintegrated in the early 1990s NATO faced an...intelligence process, and other nations need to contribute more to the common intelligence picture. That way we can build on that picture rapidly in an...to lead such an organization. The proliferation of mobile communication devices such as cell phones, smart phones, and tablet devices along with

Emotional intelligence as a noncognitive factor in student registered nurse anesthetists.

PubMed

Collins, Shawn

2013-12-01

Current nurse anesthesia program admissions requirements usually focus on high grade point averages, Graduate Record Examination scores, number of years of acute care experience, and a personal interview to assist in predicting those who will succeed in these intensive academic and clinical programs. Some people believe these criteria may not be sufficient in predicting success and have suggested that the use of noncognitive criteria such as emotional intelligence measurements may be helpful. The purpose of this cross-sectional correlational study was to explore the relationship between emotional intelligence and academic factors of student registered nurse anesthetists at 3 points in a program--matriculation, at 1 year of study, and in the last semester of study--and the relationship of these to clinical scores and National Certification Examination scores. An ex post facto cross-sectional study design was used to gather data at 3 critical times in nurse anesthesia programs to explore the relationships between emotional intelligence scores, preadmission demographics, clinical scores, and National Certification Examination scores. The online Mayer-Salovey-Caruso Emotional Intelligence Test instrument provided 15 individual emotional intelligence scores for each subject. The statistical relationship between variables was examined.

78 FR 31847 - Designation of National Security Positions in the Competitive Service, and Related Matters

Federal Register 2010, 2011, 2012, 2013, 2014

2013-05-28

... Chapter IV OFFICE OF THE DIRECTOR OF NATIONAL INTELLIGENCE 5 CFR Chapter IV RIN 3206-AM73 Designation of... Management; Office of the Director of National Intelligence. ACTION: Proposed rule and withdrawal of prior... National Intelligence (ODNI) are proposing to issue regulations regarding designation of national security...

Opportunities for collision countermeasures using intelligent technologies.

DOT National Transportation Integrated Search

1997-01-01

Since 1991, the National Highway Traffic Safety Administration (NHTSA) has had a concentrated program to facilitate the development and deployment of effective safety-related collision avoidance systems as part of the Intelligent Transportation Syste...

Spectrotemporal Modulation Sensitivity as a Predictor of Speech Intelligibility for Hearing-Impaired Listeners

PubMed Central

Bernstein, Joshua G.W.; Mehraei, Golbarg; Shamma, Shihab; Gallun, Frederick J.; Theodoroff, Sarah M.; Leek, Marjorie R.

2014-01-01

Background A model that can accurately predict speech intelligibility for a given hearing-impaired (HI) listener would be an important tool for hearing-aid fitting or hearing-aid algorithm development. Existing speech-intelligibility models do not incorporate variability in suprathreshold deficits that are not well predicted by classical audiometric measures. One possible approach to the incorporation of such deficits is to base intelligibility predictions on sensitivity to simultaneously spectrally and temporally modulated signals. Purpose The likelihood of success of this approach was evaluated by comparing estimates of spectrotemporal modulation (STM) sensitivity to speech intelligibility and to psychoacoustic estimates of frequency selectivity and temporal fine-structure (TFS) sensitivity across a group of HI listeners. Research Design The minimum modulation depth required to detect STM applied to an 86 dB SPL four-octave noise carrier was measured for combinations of temporal modulation rate (4, 12, or 32 Hz) and spectral modulation density (0.5, 1, 2, or 4 cycles/octave). STM sensitivity estimates for individual HI listeners were compared to estimates of frequency selectivity (measured using the notched-noise method at 500, 1000measured using the notched-noise method at 500, 2000, and 4000 Hz), TFS processing ability (2 Hz frequency-modulation detection thresholds for 500, 10002 Hz frequency-modulation detection thresholds for 500, 2000, and 4000 Hz carriers) and sentence intelligibility in noise (at a 0 dB signal-to-noise ratio) that were measured for the same listeners in a separate study. Study Sample Eight normal-hearing (NH) listeners and 12 listeners with a diagnosis of bilateral sensorineural hearing loss participated. Data Collection and Analysis STM sensitivity was compared between NH and HI listener groups using a repeated-measures analysis of variance. A stepwise regression analysis compared STM sensitivity for individual HI listeners to

Reliability Prediction Approaches For Domestic Intelligent Electric Energy Meter Based on IEC62380

NASA Astrophysics Data System (ADS)

Li, Ning; Tong, Guanghua; Yang, Jincheng; Sun, Guodong; Han, Dongjun; Wang, Guixian

2018-01-01

The reliability of intelligent electric energy meter is a crucial issue considering its large calve application and safety of national intelligent grid. This paper developed a procedure of reliability prediction for domestic intelligent electric energy meter according to IEC62380, especially to identify the determination of model parameters combining domestic working conditions. A case study was provided to show the effectiveness and validation.

Intelligence and Psychopathy Do Not Influence Malingering.

PubMed

Demakis, George; Rimland, Casey; Reeve, Charlie; Ward, Jonathan

2015-01-01

This study examined the influence of psychopathy and intelligence on malingering in a simulated malingering design. We hypothesized that participants high in both traits would be more adept at evading detection on performance validity tests (PVTs). College students (N = 92) were first administered the Wechsler Test of Adult Reading, a reading measure that estimates intelligence, and the Psychopathic Personality Inventory-Short Form under standard conditions. They were then asked to imagine as if they had suffered a concussion a year ago and were instructed to fake or exaggerate symptoms in a believable fashion to improve their settlement as part of a lawsuit. Participants were subsequently administered a brief neuropsychological battery that included the Word Memory Test, Rey 15-Item Test with Recognition, Finger-Tapping Test, and Digit Span from the Wechsler Adult Intelligence Scale-Fourth Edition. Moderated multiple regressions with hierarchical entry were conducted. Intelligence, psychopathy, and the interaction of intelligence and psychopathy were not related to performance on any of the PVTs. In other words, participants who scored higher on intelligence and psychopathy did not perform differently on these measures compared with other participants. Though a null finding, implications of this study are discussed in terms of the broader research and clinical literature on malingering.

Genetics and intelligence differences: five special findings.

PubMed

Plomin, R; Deary, I J

2015-02-01

Intelligence is a core construct in differential psychology and behavioural genetics, and should be so in cognitive neuroscience. It is one of the best predictors of important life outcomes such as education, occupation, mental and physical health and illness, and mortality. Intelligence is one of the most heritable behavioural traits. Here, we highlight five genetic findings that are special to intelligence differences and that have important implications for its genetic architecture and for gene-hunting expeditions. (i) The heritability of intelligence increases from about 20% in infancy to perhaps 80% in later adulthood. (ii) Intelligence captures genetic effects on diverse cognitive and learning abilities, which correlate phenotypically about 0.30 on average but correlate genetically about 0.60 or higher. (iii) Assortative mating is greater for intelligence (spouse correlations ~0.40) than for other behavioural traits such as personality and psychopathology (~0.10) or physical traits such as height and weight (~0.20). Assortative mating pumps additive genetic variance into the population every generation, contributing to the high narrow heritability (additive genetic variance) of intelligence. (iv) Unlike psychiatric disorders, intelligence is normally distributed with a positive end of exceptional performance that is a model for 'positive genetics'. (v) Intelligence is associated with education and social class and broadens the causal perspectives on how these three inter-correlated variables contribute to social mobility, and health, illness and mortality differences. These five findings arose primarily from twin studies. They are being confirmed by the first new quantitative genetic technique in a century-Genome-wide Complex Trait Analysis (GCTA)-which estimates genetic influence using genome-wide genotypes in large samples of unrelated individuals. Comparing GCTA results to the results of twin studies reveals important insights into the genetic architecture

Genetics and intelligence differences: five special findings

PubMed Central

Plomin, R; Deary, I J

2015-01-01

Intelligence is a core construct in differential psychology and behavioural genetics, and should be so in cognitive neuroscience. It is one of the best predictors of important life outcomes such as education, occupation, mental and physical health and illness, and mortality. Intelligence is one of the most heritable behavioural traits. Here, we highlight five genetic findings that are special to intelligence differences and that have important implications for its genetic architecture and for gene-hunting expeditions. (i) The heritability of intelligence increases from about 20% in infancy to perhaps 80% in later adulthood. (ii) Intelligence captures genetic effects on diverse cognitive and learning abilities, which correlate phenotypically about 0.30 on average but correlate genetically about 0.60 or higher. (iii) Assortative mating is greater for intelligence (spouse correlations ~0.40) than for other behavioural traits such as personality and psychopathology (~0.10) or physical traits such as height and weight (~0.20). Assortative mating pumps additive genetic variance into the population every generation, contributing to the high narrow heritability (additive genetic variance) of intelligence. (iv) Unlike psychiatric disorders, intelligence is normally distributed with a positive end of exceptional performance that is a model for ‘positive genetics'. (v) Intelligence is associated with education and social class and broadens the causal perspectives on how these three inter-correlated variables contribute to social mobility, and health, illness and mortality differences. These five findings arose primarily from twin studies. They are being confirmed by the first new quantitative genetic technique in a century—Genome-wide Complex Trait Analysis (GCTA)—which estimates genetic influence using genome-wide genotypes in large samples of unrelated individuals. Comparing GCTA results to the results of twin studies reveals important insights into the genetic

Studies in Intelligence. Volume 58, Number 1, March 2014

DTIC Science & Technology

2014-03-01

contact for defense intelli- gence, more effective implementa- tion of DCI policy guidance, consolidated oversight of DoD pro - grams and improved...disparate parts of the budget. As USD(I) Clapper went even fur- ther in exercising MIP authorities and developing an intelligence pro - gram between...the MIP and the broader National Intelligence Pro - gram (NIP), making defense intelli- gence program planning more effective and efficient. Over time

Computational Intelligence and Its Impact on Future High-Performance Engineering Systems

NASA Technical Reports Server (NTRS)

Noor, Ahmed K. (Compiler)

1996-01-01

This document contains presentations from the joint UVA/NASA Workshop on Computational Intelligence held at the Virginia Consortium of Engineering and Science Universities, Hampton, Virginia, June 27-28, 1995. The presentations addressed activities in the areas of fuzzy logic, neural networks, and evolutionary computations. Workshop attendees represented NASA, the National Science Foundation, the Department of Energy, National Institute of Standards and Technology (NIST), the Jet Propulsion Laboratory, industry, and academia. The workshop objectives were to assess the state of technology in the Computational intelligence area and to provide guidelines for future research.

L factor: hope and fear in the search for extraterrestrial intelligence

NASA Astrophysics Data System (ADS)

Rubin, Charles T.

2001-08-01

The L factor in the Drake equation is widely understood to account for most of the variance in estimates of the number of extraterrestrial intelligences that might be contacted by the search for extraterrestrial intelligence (SETI). It is also among the hardest to quantify. An examination of discussions of the L factor in the popular and technical SETI literature suggests that attempts to estimate L involve a variety of potentially conflicting assumptions about civilizational lifespan that reflect hopes and fears about the human future.

Estimation of daily reference evapotranspiration (ETo) using artificial intelligence methods: Offering a new approach for lagged ETo data-based modeling

NASA Astrophysics Data System (ADS)

Mehdizadeh, Saeid

2018-04-01

Evapotranspiration (ET) is considered as a key factor in hydrological and climatological studies, agricultural water management, irrigation scheduling, etc. It can be directly measured using lysimeters. Moreover, other methods such as empirical equations and artificial intelligence methods can be used to model ET. In the recent years, artificial intelligence methods have been widely utilized to estimate reference evapotranspiration (ETo). In the present study, local and external performances of multivariate adaptive regression splines (MARS) and gene expression programming (GEP) were assessed for estimating daily ETo. For this aim, daily weather data of six stations with different climates in Iran, namely Urmia and Tabriz (semi-arid), Isfahan and Shiraz (arid), Yazd and Zahedan (hyper-arid) were employed during 2000-2014. Two types of input patterns consisting of weather data-based and lagged ETo data-based scenarios were considered to develop the models. Four statistical indicators including root mean square error (RMSE), mean absolute error (MAE), coefficient of determination (R2), and mean absolute percentage error (MAPE) were used to check the accuracy of models. The local performance of models revealed that the MARS and GEP approaches have the capability to estimate daily ETo using the meteorological parameters and the lagged ETo data as inputs. Nevertheless, the MARS had the best performance in the weather data-based scenarios. On the other hand, considerable differences were not observed in the models' accuracy for the lagged ETo data-based scenarios. In the innovation of this study, novel hybrid models were proposed in the lagged ETo data-based scenarios through combination of MARS and GEP models with autoregressive conditional heteroscedasticity (ARCH) time series model. It was concluded that the proposed novel models named MARS-ARCH and GEP-ARCH improved the performance of ETo modeling compared to the single MARS and GEP. In addition, the external

Self-Rated Estimates of Multiple Intelligences Based on Approaches to Learning

ERIC Educational Resources Information Center

Bowles, Terry

2008-01-01

To date questionnaires that measure Multiple Intelligences (MIs) have typically not been systematically developed, have poor psychometric properties, and relatively low reliability. The aim of this research was to define the factor structure, and reliability of nine talents which are the behavioural outcomes of MIs, using items representing…

Intelligent quotient estimation of mental retarded people from different psychometric instruments using artificial neural networks.

PubMed

Di Nuovo, Alessandro G; Di Nuovo, Santo; Buono, Serafino

2012-02-01

The estimation of a person's intelligence quotient (IQ) by means of psychometric tests is indispensable in the application of psychological assessment to several fields. When complex tests as the Wechsler scales, which are the most commonly used and universally recognized parameter for the diagnosis of degrees of retardation, are not applicable, it is necessary to use other psycho-diagnostic tools more suited for the subject's specific condition. But to ensure a homogeneous diagnosis it is necessary to reach a common metric, thus, the aim of our work is to build models able to estimate accurately and reliably the Wechsler IQ, starting from different psycho-diagnostic tools. Four different psychometric tests (Leiter international performance scale; coloured progressive matrices test; the mental development scale; psycho educational profile), along with the Wechsler scale, were administered to a group of 40 mentally retarded subjects, with various pathologies, and control persons. The obtained database is used to evaluate Wechsler IQ estimation models starting from the scores obtained in the other tests. Five modelling methods, two statistical and three from machine learning, that belong to the family of artificial neural networks (ANNs) are employed to build the estimator. Several error metrics for estimated IQ and for retardation level classification are defined to compare the performance of the various models with univariate and multivariate analyses. Eight empirical studies show that, after ten-fold cross-validation, best average estimation error is of 3.37 IQ points and mental retardation level classification error of 7.5%. Furthermore our experiments prove the superior performance of ANN methods over statistical regression ones, because in all cases considered ANN models show the lowest estimation error (from 0.12 to 0.9 IQ points) and the lowest classification error (from 2.5% to 10%). Since the estimation performance is better than the confidence interval of

Open ended intelligence: the individuation of intelligent agents

NASA Astrophysics Data System (ADS)

Weinbaum Weaver, David; Veitas, Viktoras

2017-03-01

Artificial general intelligence is a field of research aiming to distil the principles of intelligence that operate independently of a specific problem domain and utilise these principles in order to synthesise systems capable of performing any intellectual task a human being is capable of and beyond. While "narrow" artificial intelligence which focuses on solving specific problems such as speech recognition, text comprehension, visual pattern recognition and robotic motion has shown impressive breakthroughs lately, understanding general intelligence remains elusive. We propose a paradigm shift from intelligence perceived as a competence of individual agents defined in relation to an a priori given problem domain or a goal, to intelligence perceived as a formative process of self-organisation. We call this process open-ended intelligence. Starting with a brief introduction of the current conceptual approach, we expose a number of serious limitations that are traced back to the ontological roots of the concept of intelligence. Open-ended intelligence is then developed as an abstraction of the process of human cognitive development, so its application can be extended to general agents and systems. We introduce and discuss three facets of the idea: the philosophical concept of individuation, sense-making and the individuation of general cognitive agents. We further show how open-ended intelligence can be framed in terms of a distributed, self-organising network of interacting elements and how such process is scalable. The framework highlights an important relation between coordination and intelligence and a new understanding of values.

Fluid intelligence and psychiatric disorders in a population representative sample of US adolescents

PubMed Central

Keyes, Katherine M.; Platt, Jonathan; Kaufman, Alan S.; McLaughlin, Katie A.

2017-01-01

Importance Despite long-standing interest in the association of psychiatric disorders with intelligence, few population-based studies of psychiatric disorders have assessed intelligence. Objectives To investigate the association of fluid intelligence with past-year and lifetime psychiatric disorders, disorder age-of-onset, and disorder severity in a nationally-representative sample of U.S. adolescents. Design Dual-frame national sample of adolescents ascertained from schools and households from the National Comorbidity Survey Replication-Adolescent Supplement, collected 2001–2004. Setting Face-to-face household interviews with adolescents and questionnaires from parents. Participants The sample included 10,073 adolescents with valid data on fluid intelligence. Exposures DSM-IV mental disorders were assessed with the World Health Organization Composite International Diagnostic Interview, and included a broad range of fear, distress, behavior, substance use and other disorders. Disorder severity was measured with the Sheehan Disability Scale. Main Outcomes Fluid intelligence quotient (IQ) measured with Kaufman Brief Intelligence Test, normed within the sample by six-month age groups. Results Lower mean IQ was observed among adolescents with past-year bipolar disorder (predicted Mean [M]=94.2, p<0.01), attention-deficit/hyperactivity disorder (M=96.3, p<0.01), oppositional defiant disorder (M=97.3, p<0.01), conduct disorder (M=97.1, p=0.02) substance disorders (M=96.5–97.6, p=0.02 to <0.01) and specific phobia (M=97.1, p<0.01) after adjustment for a wide range of potential confounders. Intelligence was not associated with post-traumatic stress disorder, eating disorders, and anxiety disorders other than specific phobia, and was positively associated with major depression. Associations of fluid intelligence with lifetime disorders that had remitted were attenuated compared to past-year disorders, with the exception of separation anxiety disorder. Across disorders

Estimating national crop yield potential and the relevance of weather data sources

NASA Astrophysics Data System (ADS)

Van Wart, Justin

2011-12-01

To determine where, when, and how to increase yields, researchers often analyze the yield gap (Yg), the difference between actual current farm yields and crop yield potential. Crop yield potential (Yp) is the yield of a crop cultivar grown under specific management limited only by temperature and solar radiation and also by precipitation for water limited yield potential (Yw). Yp and Yw are critical components of Yg estimations, but are very difficult to quantify, especially at larger scales because management data and especially daily weather data are scarce. A protocol was developed to estimate Yp and Yw at national scales using site-specific weather, soils and management data. Protocol procedures and inputs were evaluated to determine how to improve accuracy of Yp, Yw and Yg estimates. The protocol was also used to evaluate raw, site-specific and gridded weather database sources for use in simulations of Yp or Yw. The protocol was applied to estimate crop Yp in US irrigated maize and Chinese irrigated rice and Yw in US rainfed maize and German rainfed wheat. These crops and countries account for >20% of global cereal production. The results have significant implications for past and future studies of Yp, Yw and Yg. Accuracy of national long-term average Yp and Yw estimates was significantly improved if (i) > 7 years of simulations were performed for irrigated and > 15 years for rainfed sites, (ii) > 40% of nationally harvested area was within 100 km of all simulation sites, (iii) observed weather data coupled with satellite derived solar radiation data were used in simulations, and (iv) planting and harvesting dates were specified within +/- 7 days of farmers actual practices. These are much higher standards than have been applied in national estimates of Yp and Yw and this protocol is a substantial step in making such estimates more transparent, robust, and straightforward. Finally, this protocol may be a useful tool for understanding yield trends and directing

Intelligent fault-tolerant controllers

NASA Technical Reports Server (NTRS)

Huang, Chien Y.

1987-01-01

A system with fault tolerant controls is one that can detect, isolate, and estimate failures and perform necessary control reconfiguration based on this new information. Artificial intelligence (AI) is concerned with semantic processing, and it has evolved to include the topics of expert systems and machine learning. This research represents an attempt to apply AI to fault tolerant controls, hence, the name intelligent fault tolerant control (IFTC). A generic solution to the problem is sought, providing a system based on logic in addition to analytical tools, and offering machine learning capabilities. The advantages are that redundant system specific algorithms are no longer needed, that reasonableness is used to quickly choose the correct control strategy, and that the system can adapt to new situations by learning about its effects on system dynamics.

Intelligent hand-portable proliferation sensing system

DOE Office of Scientific and Technical Information (OSTI.GOV)

Dieckman, S.L.; Bostrom, G.A.; Waterfield, L.G.

1997-08-01

Argonne National Laboratory, with support from DOE`s Office of Nonproliferation and National Security, is currently developing an intelligent hand-portable sensor system. This system is designed specifically to support the intelligence community with the task of in-field sensing of nuclear proliferation and related activities. Based upon pulsed laser photo-ionization time-of-flight mass spectrometry technology, this novel sensing system is capable of quickly providing a molecular or atomic analysis of specimens. The system is capable of analyzing virtually any gas phase molecule, or molecule that can be induced into the gas phase by (for example) sample heating. This system has the unique advantagesmore » of providing unprecedented portability, excellent sensitivity, tremendous fieldability, and a high performance/cost ratio. The system will be capable of operating in a highly automated manner for on-site inspections, and easily modified for other applications such as perimeter monitoring aboard a plane or drone. The paper describes the sensing system.« less

Birth weight standardized to gestational age and intelligence in young adulthood: a register-based birth cohort study of male siblings.

PubMed

Eriksen, Willy; Sundet, Jon M; Tambs, Kristian

2010-09-01

The authors aimed to determine the relation between birth-weight variations within the normal range and intelligence in young adulthood. A historical birth cohort study was conducted. Data from the Medical Birth Register of Norway were linked with register data from the Norwegian National Conscript Service. The sample comprised 52,408 sibships of full brothers who were born singletons at 37-41 completed weeks' gestation during 1967-1984 in Norway and were intelligence-tested at the time of mandatory military conscription. Generalized estimating equations were used to fit population-averaged panel data models. The analyses showed that in men with birth weights within the 10th-90th percentile range, a within-family difference of 1 standard deviation in birth weight standardized to gestational age was associated with a within-family difference of 0.07 standard deviation (99% confidence interval: 0.03, 0.09) in intelligence score, after adjustment for a range of background factors. There was no significant between-family association after adjustment for background factors. In Norwegian males, normal variations in intrauterine growth are associated with differences in intelligence in young adulthood. This association is probably not due to confounding by familial and parental characteristics.

Intelligent estimation of noise and blur variances using ANN for the restoration of ultrasound images.

PubMed

Uddin, Muhammad Shahin; Halder, Kalyan Kumar; Tahtali, Murat; Lambert, Andrew J; Pickering, Mark R; Marchese, Margaret; Stuart, Iain

2016-11-01

Ultrasound (US) imaging is a widely used clinical diagnostic tool in medical imaging techniques. It is a comparatively safe, economical, painless, portable, and noninvasive real-time tool compared to the other imaging modalities. However, the image quality of US imaging is severely affected by the presence of speckle noise and blur during the acquisition process. In order to ensure a high-quality clinical diagnosis, US images must be restored by reducing their speckle noise and blur. In general, speckle noise is modeled as a multiplicative noise following a Rayleigh distribution and blur as a Gaussian function. Hereto, we propose an intelligent estimator based on artificial neural networks (ANNs) to estimate the variances of noise and blur, which, in turn, are used to obtain an image without discernible distortions. A set of statistical features computed from the image and its complex wavelet sub-bands are used as input to the ANN. In the proposed method, we solve the inverse Rayleigh function numerically for speckle reduction and use the Richardson-Lucy algorithm for de-blurring. The performance of this method is compared with that of the traditional methods by applying them to a synthetic, physical phantom and clinical data, which confirms better restoration results by the proposed method.

Intelligence assessments for children with cerebral palsy: a systematic review.

PubMed

Yin Foo, Rebecca; Guppy, Max; Johnston, Leanne M

2013-10-01

Cerebral palsy (CP) is defined as a primary disorder of posture and movement; however, approximately 45% of children with CP also have an intellectual impairment. Prevalence estimates are limited by a lack of guidelines for intelligence testing. This systematic review aims to identify and examine intelligence assessments for children with CP. Electronic databases (PubMed, PsycINFO, Web of Science, CINAHL, EMBASE, and ERIC) were searched to identify assessments that (1) measured intellectual function, (2) in children aged 4 to 18 years, (3) with CP, and (4) with psychometrics available. Searches yielded 48 assessments, of which nine provided psychometric data for children with CP. The included tests were the Columbia Mental Maturity Scale, the Leiter International Performance Scale, the Peabody Picture Vocabulary Test, the Pictorial Test of Intelligence, the Raven's Coloured Progressive Matrices, the Stanford-Binet Intelligence Scales, the Wechsler Adult Intelligence Scale, the Wechsler Intelligence Scale for Children, and the Wechsler Preschool and Primary Scale of Intelligence. Intelligence assessments in children with CP lack reliability data, consensus regarding validity data, and population-specific norms. Research is required to establish psychometrics for children with CP. For children with higher motor involvement and/or communication and/or visual impairments, multiple options are required to assess intelligence appropriately. © 2013 Mac Keith Press.

32 CFR Appendix E to Part 275 - Obtaining Access for Foreign Intelligence, Foreign Counterintelligence, and International...

Code of Federal Regulations, 2013 CFR

2013-07-01

... 32 National Defense 2 2013-07-01 2013-07-01 false Obtaining Access for Foreign Intelligence..., App. E Appendix E to Part 275—Obtaining Access for Foreign Intelligence, Foreign Counterintelligence... financial institution (as identified at § 275.3) by an intelligence organization, as identified in DoD...

32 CFR Appendix E to Part 275 - Obtaining Access for Foreign Intelligence, Foreign Counterintelligence, and International...

Code of Federal Regulations, 2014 CFR

2014-07-01

... 32 National Defense 2 2014-07-01 2014-07-01 false Obtaining Access for Foreign Intelligence..., App. E Appendix E to Part 275—Obtaining Access for Foreign Intelligence, Foreign Counterintelligence... financial institution (as identified at § 275.3) by an intelligence organization, as identified in DoD...

32 CFR Appendix E to Part 275 - Obtaining Access for Foreign Intelligence, Foreign Counterintelligence, and International...

Code of Federal Regulations, 2011 CFR

2011-07-01

... 32 National Defense 2 2011-07-01 2011-07-01 false Obtaining Access for Foreign Intelligence..., App. E Appendix E to Part 275—Obtaining Access for Foreign Intelligence, Foreign Counterintelligence... financial institution (as identified at § 275.3) by an intelligence organization, as identified in DoD...

32 CFR Appendix E to Part 275 - Obtaining Access for Foreign Intelligence, Foreign Counterintelligence, and International...

Code of Federal Regulations, 2010 CFR

2010-07-01

... 32 National Defense 2 2010-07-01 2010-07-01 false Obtaining Access for Foreign Intelligence..., App. E Appendix E to Part 275—Obtaining Access for Foreign Intelligence, Foreign Counterintelligence... financial institution (as identified at § 275.3) by an intelligence organization, as identified in DoD...

32 CFR Appendix E to Part 275 - Obtaining Access for Foreign Intelligence, Foreign Counterintelligence, and International...

Code of Federal Regulations, 2012 CFR

2012-07-01

... 32 National Defense 2 2012-07-01 2012-07-01 false Obtaining Access for Foreign Intelligence..., App. E Appendix E to Part 275—Obtaining Access for Foreign Intelligence, Foreign Counterintelligence... financial institution (as identified at § 275.3) by an intelligence organization, as identified in DoD...

Public Health Intelligence: Learning From the Ebola Crisis

PubMed Central

Weber, David Jay

2015-01-01

Today’s public health crises, as exemplified by the Ebola outbreak, lead to dramatic calls to action that typically include improved electronic monitoring systems to better prepare for, and respond to, similar occurrences in the future. Even a preliminary public health informatics evaluation of the current Ebola crisis exposes the need for enhanced coordination and sharing of trustworthy public health intelligence. We call for a consumer-centric model of public health intelligence and the formation of a national center to guide public health intelligence gathering and synthesis. Sharing accurate and actionable information with government agencies, health care practitioners, policymakers, and, critically, the general public, will mark a shift from doing public health surveillance on people to doing public health surveillance for people. PMID:26180978

The crustal dynamics intelligent user interface anthology

NASA Technical Reports Server (NTRS)

Short, Nicholas M., Jr.; Campbell, William J.; Roelofs, Larry H.; Wattawa, Scott L.

1987-01-01

The National Space Science Data Center (NSSDC) has initiated an Intelligent Data Management (IDM) research effort which has, as one of its components, the development of an Intelligent User Interface (IUI). The intent of the IUI is to develop a friendly and intelligent user interface service based on expert systems and natural language processing technologies. The purpose of such a service is to support the large number of potential scientific and engineering users that have need of space and land-related research and technical data, but have little or no experience in query languages or understanding of the information content or architecture of the databases of interest. This document presents the design concepts, development approach and evaluation of the performance of a prototype IUI system for the Crustal Dynamics Project Database, which was developed using a microcomputer-based expert system tool (M. 1), the natural language query processor THEMIS, and the graphics software system GSS. The IUI design is based on a multiple view representation of a database from both the user and database perspective, with intelligent processes to translate between the views.

Regional intelligence and suicide rate: new data for Australia and a synthesis of research.

PubMed

Voracek, Martin

2007-08-01

Previous research has shown for the most part positive correlations between intelligence and suicide prevalence on the national level. However, this study found proxies for regional intelligence in Australia (international average domain scores from the PISA 2000 study) to be significantly negatively correlated with the total, male, and female suicide rates of the different administrative divisions of Australia, and this finding was independent of regional wealth. A research synthesis of the current results and those from similar studies of other countries (positive correlations for Austria, Belarus, The British Isles, Denmark, and The Netherlands; inconclusive findings for France, Germany, and the USA) was conducted. This synthesis of research findings showed that positive ecological correlations of intelligence with suicide rate were more likely observed for nations with higher suicide rates and poorer general living conditions, whereas there was no relation with national IQ.

Using generic tool kits to build intelligent systems

NASA Technical Reports Server (NTRS)

Miller, David J.

1994-01-01

The Intelligent Systems and Robots Center at Sandia National Laboratories is developing technologies for the automation of processes associated with environmental remediation and information-driven manufacturing. These technologies, which focus on automated planning and programming and sensor-based and model-based control, are used to build intelligent systems which are able to generate plans of action, program the necessary devices, and use sensors to react to changes in the environment. By automating tasks through the use of programmable devices tied to computer models which are augmented by sensing, requirements for faster, safer, and cheaper systems are being satisfied. However, because of the need for rapid cost-effect prototyping and multi-laboratory teaming, it is also necessary to define a consistent approach to the construction of controllers for such systems. As a result, the Generic Intelligent System Controller (GISC) concept has been developed. This concept promotes the philosophy of producing generic tool kits which can be used and reused to build intelligent control systems.

National Health and Nutrition Examination Survey: National Youth Fitness Survey Estimation Procedures, 2012.

PubMed

Johnson, Clifford L; Dohrmann, Sylvia M; Kerckove, Van de; Diallo, Mamadou S; Clark, Jason; Mohadjer, Leyla K; Burt, Vicki L

2014-11-01

The National Health and Nutrition Examination Survey's (NHANES) National Youth Fitness Survey (NNYFS) was conducted in 2012 by the Centers for Disease Control and Prevention's National Center for Health Statistics (NCHS). NNYFS collected data on physical activity and fitness levels to evaluate the health and fitness of children aged 3-15 in the United States. The survey comprised three levels of data collection: a household screening interview (or screener), an in-home personal interview, and a physical examination. The screener's primary objective was to determine whether any children in the household were eligible for the interview and examination. Eligibility was determined by preset selection probabilities for desired sex-age subdomains. After selection, the in-home personal interview collected demographic, health, physical activity, and nutrition information about the child as well as information about the household. The examination included physical measurements and fitness tests. This report provides background on the NNYFS program and summarizes the survey's sample design specifications. The report presents NNYFS estimation procedures, including the methods used to calculate survey weights for the full sample as well as a combined NHANES/NNYFS sample for 2012 (accessible only through the NCHS Research Data Center). The report also describes appropriate variance estimation methods. Documentation of the sample selection methods, survey content, data collection procedures, and methods to assess nonsampling errors are reported elsewhere. All material appearing in this report is in the public domain and may be reproduced or copied without permission; citation as to source, however, is appreciated.

Comparison of Estimates in the 1996 National Household Education Survey. Working Paper Series.

ERIC Educational Resources Information Center

Nolin, Mary Jo; Collins, Mary A.; Vaden-Kiernan, Nancy; Davies, Elizabeth

This report compares selected estimates from the 1996 National Household Education Survey (NHES:96) with estimates from previous NHES collections, the Current Population Survey (CPS), and other relevant data sources. The comparisons provide an indication of the reasonableness of selected NHES:96 estimates. Where discrepancies were found between…

A survey on evolutionary algorithm based hybrid intelligence in bioinformatics.

PubMed

Li, Shan; Kang, Liying; Zhao, Xing-Ming

2014-01-01

With the rapid advance in genomics, proteomics, metabolomics, and other types of omics technologies during the past decades, a tremendous amount of data related to molecular biology has been produced. It is becoming a big challenge for the bioinformatists to analyze and interpret these data with conventional intelligent techniques, for example, support vector machines. Recently, the hybrid intelligent methods, which integrate several standard intelligent approaches, are becoming more and more popular due to their robustness and efficiency. Specifically, the hybrid intelligent approaches based on evolutionary algorithms (EAs) are widely used in various fields due to the efficiency and robustness of EAs. In this review, we give an introduction about the applications of hybrid intelligent methods, in particular those based on evolutionary algorithm, in bioinformatics. In particular, we focus on their applications to three common problems that arise in bioinformatics, that is, feature selection, parameter estimation, and reconstruction of biological networks.

Breastfeeding and intelligence: a systematic review and meta-analysis.

PubMed

Horta, Bernardo L; Loret de Mola, Christian; Victora, Cesar G

2015-12-01

This study was aimed at systematically reviewing evidence of the association between breastfeeding and performance in intelligence tests. Two independent searches were carried out using Medline, LILACS, SCIELO and Web of Science. Studies restricted to infants and those where estimates were not adjusted for stimulation or interaction at home were excluded. Fixed- and random-effects models were used to pool the effect estimates, and a random-effects regression was used to assess potential sources of heterogeneity. We included 17 studies with 18 estimates of the relationship between breastfeeding and performance in intelligence tests. In a random-effects model, breastfed subjects achieved a higher IQ [mean difference: 3.44 points (95% confidence interval: 2.30; 4.58)]. We found no evidence of publication bias. Studies that controlled for maternal IQ showed a smaller benefit from breastfeeding [mean difference 2.62 points (95% confidence interval: 1.25; 3.98)]. In the meta-regression, none of the study characteristics explained the heterogeneity among the studies. Breastfeeding is related to improved performance in intelligence tests. A positive effect of breastfeeding on cognition was also observed in a randomised trial. This suggests that the association is causal. ©2015 The Authors. Acta Paediatrica published by John Wiley & Sons Ltd on behalf of Foundation Acta Paediatrica.

[The estimation of premorbid intelligence levels in French speakers].

PubMed

Mackinnon, A; Mulligan, R

2005-01-01

Knowledge of cognitive performance earlier in life is essential in order to characterize precisely the extent to which these abilities have declined when an individual is diagnosed as having a dementing illness. The National Adult Reading Test (NART) was developed by Nelson and O'Connell to estimate premorbid intellectual ability in patients suffering from intellectual deterioration due to dementia. The test consists of 50 words, graded in difficulty, whose pronunciation cannot be determined from their spelling. The ability to successfully read irregularly spelt words is relatively robust in the face of current cognitive impairment and is a sensitive marker of intellectual attainment. Because the NART relies on orthographic irregularities in the English language, the construction of analogues of the test in other languages is not simply a matter of translation of the test content. Rather, words in the target language that have comparable properties to those in the NART must be sought. A French adaptation of the NART--the fNART--was developed by Bovet and calibrated on a small French-speaking Swiss sample. In a sample of 30 nondemented subjects, number of words pronounced correctly correlated highly with WAIS-R verbal and total IQ scores and less strongly with performance IQ (r = 0.43). Data available from an epidemiological survey undertaken in Geneva, Switzerland provided an opportunity to establish the measurement properties and construct validity of the fNART in a large sample unselected with respect to cognitive decline. In addition to the fNART, the survey incorporated a brief test battery assessing the domains of crystallized intelligence, memory and cognitive speed. An interview that enabled the diagnosis of dementia according to DSM IV criteria, the Mini Mental State Examination and the Psychogeriatric Assessment Scales (PAS) were also administered. If the fNART measures intellectual ability, substantial correlations between it and the test battery would be

Estimated prevalence of hearing loss and provision of hearing services in Pacific Island nations.

PubMed

Sanders, Michael; Houghton, Natasha; Dewes, Ofa; McCool, Judith; Thorne, Peter R

2015-03-01

Hearing impairment (HI) affects an estimated 538 million people worldwide, with 80% of these living in developing countries. Untreated HI in childhood may lead to developmental delay and in adults results in social isolation, inability to find or maintain employment, and dependency. Early intervention and support programmes can significantly reduce the negative effects of HI. To estimate HI prevalence and identify available hearing services in some Pacific countries - Cook Islands, Fiji, Niue, Samoa, Tokelau, Tonga. Data were collected through literature review and correspondence with service providers. Prevalence estimates were based on census data and previously published regional estimates. Estimates indicate 20-23% of the population may have at least a mild HI, with up to 11% having a moderate impairment or worse. Estimated incidence of chronic otitis media in Pacific Island nations is 3-5 times greater than other Australasian countries in children under 10 years old. Permanent HI from otitis media is substantially more likely in children and adults in Pacific Island nations. Several organisations and individuals provide some limited hearing services in a few Pacific Island nations, but the majority of people with HI are largely underserved. Although accurate information on HI prevalence is lacking, prevalence estimates of HI and ear disease suggest they are significant health conditions in Pacific Island nations. There is relatively little support for people with HI or ear disease in the Pacific region. An investment in initiatives to both identify and support people with hearing loss in the Pacific is necessary.

Web Intelligence and Artificial Intelligence in Education

ERIC Educational Resources Information Center

Devedzic, Vladan

2004-01-01

This paper surveys important aspects of Web Intelligence (WI) in the context of Artificial Intelligence in Education (AIED) research. WI explores the fundamental roles as well as practical impacts of Artificial Intelligence (AI) and advanced Information Technology (IT) on the next generation of Web-related products, systems, services, and…

Estimating the cost of delivering direct nutrition interventions at scale: national and subnational level insights from India.

PubMed

Menon, Purnima; McDonald, Christine M; Chakrabarti, Suman

2016-05-01

India's national nutrition and health programmes are largely designed to provide evidence-based nutrition-specific interventions, but intervention coverage is low due to a combination of implementation challenges, capacity and financing gaps. Global cost estimates for nutrition are available but national and subnational costs are not. We estimated national and subnational costs of delivering recommended nutrition-specific interventions using the Scaling Up Nutrition (SUN) costing approach. We compared costs of delivering the SUN interventions at 100% scale with those of nationally recommended interventions. Target populations (TP) for interventions were estimated using national population and nutrition data. Unit costs (UC) were derived from programmatic data. The cost of delivering an intervention at 100% coverage was calculated as (UC*projected TP). Cost estimates varied; estimates for SUN interventions were lower than estimates for nationally recommended interventions because of differences in choice of intervention, target group or unit cost. US$5.9bn/year are required to deliver a set of nationally recommended nutrition interventions at scale in India, while US$4.2bn are required for the SUN interventions. Cash transfers (49%) and food supplements (40%) contribute most to costs of nationally recommended interventions, while food supplements to prevent and treat malnutrition contribute most to the SUN costs. We conclude that although such costing is useful to generate broad estimates, there is an urgent need for further costing studies on the true unit costs of the delivery of nutrition-specific interventions in different local contexts to be able to project accurate national and subnational budgets for nutrition in India. © 2016 The Authors. Maternal & Child Nutrition published by John Wiley & Sons Ltd.

Age versus schooling effects on intelligence development.

PubMed

Cahan, S; Cohen, N

1989-10-01

The effect of formal education, as opposed to chronological age, on intelligence development has suffered from inadequate empirical investigation. Most studies of this issue have relied on natural variation in exposure to school among children of the same age, thus confounding differences in schooling with differences in other intelligence-related variables. This difficulty can be overcome by a quasi-experimental paradigm involving comparison between children who differ in both chronological age and schooling. The present study applies this paradigm to the estimation of the independent effects of age and schooling in grades 5 and 6 on raw scores obtained on a variety of general ability tests. The sample included all students in Jerusalem's Hebrew-language, state-controlled elementary schools. The results unambiguously point to schooling as the major factor underlying the increase of intelligence test scores as a function of age and to the larger effect schooling has on verbal than nonverbal tests. These results contribute to our understanding of the causal model underlying intelligence development and call for reconsideration of the conceptual basis underlying the definition of deviation-IQ scores. Some implications of these results concerning the distinction between intelligence and scholastic achievement, the causal model underlying the development of "crystallized" and "fluid" abilities, and the notion of "culture-fair" tests are discussed.

[Emotional competence in the multiple intelligences theory from the perspective of laypersons].

PubMed

Nozaki, Yuki; Koyasu, Masuo

2016-02-01

Emotional competence has recently, become a widespread concern in schools and workplaces, both which deeplyinvolve laypersons. While academic researchers have discussed the status of emotional competence comparedto the traditional intelligence, it is very important to elucidate how laypersons regard emotional competencecompared to traditional intelligence as well. The present study investigated the position of emotional competencein the multiple intelligences theory by assessing laypersons' self-estimates of their abilities and their rating ofthe importance of emotional competence for thriving in society. Participants (N = 584) answered a questionnaireonline. Results showed that laypersons regarded emotional competence as a distinct construct, and most stronglyrelated it to personal intelligence. Moreover, their ratings of the importance of emotional competence and personalintelligence for thriving in society were higher than that of traditional intelligence.

Efficiency of Health Investment: Education or Intelligence?

PubMed

Bijwaard, Govert E; Van Kippersluis, Hans

2016-09-01

In this paper, we hypothesize that education is associated with a higher efficiency of health investment, yet that this efficiency advantage is solely driven by intelligence. We operationalize efficiency of health investment as the probability of dying conditional on a certain hospital diagnosis and estimate a multistate structural equation model with three states: (i) healthy, (ii) hospitalized, and (iii) death. We use data from a Dutch cohort born around 1940 that links intelligence tests at age 12 years to later-life hospitalization and mortality records. The results indicate that intelligent individuals have a clear survival advantage for most hospital diagnoses, while the remaining disparities across education groups are small and not statistically significant. © 2016 The Authors. Health Economics Published by John Wiley & Sons Ltd. © 2016 The Authors. Health Economics Published by John Wiley & Sons Ltd.

Human papillomavirus (HPV) vaccination coverage in young Australian women is higher than previously estimated: independent estimates from a nationally representative mobile phone survey.

PubMed

Brotherton, Julia M L; Liu, Bette; Donovan, Basil; Kaldor, John M; Saville, Marion

2014-01-23

Accurate estimates of coverage are essential for estimating the population effectiveness of human papillomavirus (HPV) vaccination. Australia has a purpose built National HPV Vaccination Program Register for monitoring coverage, however notification of doses administered to young women in the community during the national catch-up program (2007-2009) was not compulsory. In 2011, we undertook a population-based mobile phone survey of young women to independently estimate HPV vaccination coverage. Randomly generated mobile phone numbers were dialed to recruit women aged 22-30 (age eligible for HPV vaccination) to complete a computer assisted telephone interview. Consent was sought to validate self reported HPV vaccination status against the national register. Coverage rates were calculated based on self report and weighted to the age and state of residence structure of the Australian female population. These were compared with coverage estimates from the register using Australian Bureau of Statistics estimated resident populations as the denominator. Among the 1379 participants, the national estimate for self reported HPV vaccination coverage for doses 1/2/3, respectively, weighted for age and state of residence, was 64/59/53%. This compares with coverage of 55/45/32% and 49/40/28% based on register records, using 2007 and 2011 population data as the denominators respectively. Some significant differences in coverage between the states were identified. 20% (223) of women returned a consent form allowing validation of doses against the register and provider records: among these women 85.6% (538) of self reported doses were confirmed. We confirmed that coverage rates for young women vaccinated in the community (at age 18-26 years) are underestimated by the national register and that under-notification is greater for second and third doses. Using 2011 population estimates, rather than estimates contemporaneous with the program rollout, reduces register-based coverage

Comparing oral health care utilization estimates in the United States across three nationally representative surveys.

PubMed

Macek, Mark D; Manski, Richard J; Vargas, Clemencia M; Moeller, John F

2002-04-01

To compare estimates of dental visits among adults using three national surveys. Cross-sectional data from the National Health Interview Survey (NHIS), National Health and Nutrition Examination Survey (NHANES), and National Health Expenditure surveys (NMCES, NMES, MEPS). This secondary data analysis assessed whether overall estimates and stratum-specific trends are different across surveys. Dental visit data are age standardized via the direct method to the 1990 population of the United States. Point estimates, standard errors, and test statistics are generated using SUDAAN. Sociodemographic, stratum-specific trends are generally consistent across surveys; however, overall estimates differ (NHANES III [364-day estimate] versus 1993 NHIS: -17.5 percent difference, Z = 7.27, p value < 0.001; NHANES III [365-day estimate] vs. 1993 NHIS: 5.4 percent difference, Z = -2.50, p value = 0.006; MEPS vs. 1993 NHIS: -29.8 percent difference, Z = 16.71, p value < 0.001). MEPS is the least susceptible to intrusion, telescoping, and social desirability. Possible explanations for discrepancies include different reference periods, lead-in statements, question format, and social desirability of responses. Choice of survey should depend on the hypothesis. If trends are necessary, choice of survey should not matter however, if health status or expenditure associations are necessary, then surveys that contain these variables should be used, and if accurate overall estimates are necessary, then MEPS should be used. A validation study should be conducted to establish "true" utilization estimates.

Intelligence and obesity: which way does the causal direction go?

PubMed

Kanazawa, Satoshi

2014-10-01

The negative association between intelligence and obesity has been well established, but the direction of causality is unclear. The present review surveys the recent studies on the topic with both cross-sectional and longitudinal data in an attempt to establish causality. Most studies in the area employ cross-sectional data and conclude (without empirical justification) that obesity causes intellectual impairment. The few studies that employ prospectively longitudinal data, however, uniformly conclude that lower intelligence leads to BMI gains and obesity. A close examination of three such studies, from three different nations (Sweden, New Zealand, and the UK), leaves little doubt that the causality runs from low intelligence to obesity. The conclusion in previous studies that obesity impairs cognitive function stems from improper interpretation of a negative association between intelligence and obesity from cross-sectional studies. Results from the analyses of high-quality, population-based, prospectively longitudinal data firmly establish that low intelligence increases the chances of obesity.

Molecular genetic contributions to socioeconomic status and intelligence.

PubMed

Marioni, Riccardo E; Davies, Gail; Hayward, Caroline; Liewald, Dave; Kerr, Shona M; Campbell, Archie; Luciano, Michelle; Smith, Blair H; Padmanabhan, Sandosh; Hocking, Lynne J; Hastie, Nicholas D; Wright, Alan F; Porteous, David J; Visscher, Peter M; Deary, Ian J

2014-05-01

Education, socioeconomic status, and intelligence are commonly used as predictors of health outcomes, social environment, and mortality. Education and socioeconomic status are typically viewed as environmental variables although both correlate with intelligence, which has a substantial genetic basis. Using data from 6815 unrelated subjects from the Generation Scotland study, we examined the genetic contributions to these variables and their genetic correlations. Subjects underwent genome-wide testing for common single nucleotide polymorphisms (SNPs). DNA-derived heritability estimates and genetic correlations were calculated using the 'Genome-wide Complex Trait Analyses' (GCTA) procedures. 21% of the variation in education, 18% of the variation in socioeconomic status, and 29% of the variation in general cognitive ability was explained by variation in common SNPs (SEs ~ 5%). The SNP-based genetic correlations of education and socioeconomic status with general intelligence were 0.95 (SE 0.13) and 0.26 (0.16), respectively. There are genetic contributions to intelligence and education with near-complete overlap between common additive SNP effects on these traits (genetic correlation ~ 1). Genetic influences on socioeconomic status are also associated with the genetic foundations of intelligence. The results are also compatible with substantial environmental contributions to socioeconomic status.

Relationships between Speech Intelligibility and Word Articulation Scores in Children with Hearing Loss

PubMed Central

Ertmer, David J.

2012-01-01

Purpose This investigation sought to determine whether scores from a commonly used word-based articulation test are closely associated with speech intelligibility in children with hearing loss. If the scores are closely related, articulation testing results might be used to estimate intelligibility. If not, the importance of direct assessment of intelligibility would be reinforced. Methods Forty-four children with hearing losses produced words from the Goldman-Fristoe Test of Articulation-2 and sets of 10 short sentences. Correlation analyses were conducted between scores for seven word-based predictor variables and percent-intelligible scores derived from listener judgments of stimulus sentences. Results Six of seven predictor variables were significantly correlated with percent-intelligible scores. However, regression analysis revealed that no single predictor variable or multi- variable model accounted for more than 25% of the variability in intelligibility scores. Implications The findings confirm the importance of assessing connected speech intelligibility directly. PMID:20220022

Estimation of child vaccination coverage at state and national levels in India

PubMed Central

Gupta, Satish; Kumar, Rakesh; Haldar, Pradeep; Sethi, Raman; Bahl, Sunil

2016-01-01

Abstract Objective To review the data, for 1999–2013, on state-level child vaccination coverage in India and provide estimates of coverage at state and national levels. Methods We collated data from administrative reports, population-based surveys and other sources and used them to produce annual estimates of vaccination coverage. We investigated bacille Calmette–Guérin vaccine, the first and third doses of vaccine against diphtheria, tetanus and pertussis, the third dose of oral polio vaccine and the first dose of vaccine against measles. We obtained relevant data covering the period 1999–2013 for each of 16 states and territories and the period 2001–2013 for the state of Jharkhand – which was only created in 2000. We aggregated the resultant state-level estimates, using a population-weighted approach, to give national values. Findings For each of the vaccinations we investigated, about half of the 253 estimates of annual coverage at state level that we produced were based on survey results. The rest were based on interpolation between – or extrapolation from – so-called anchor points or, more rarely, on administrative data. Our national estimates indicated that, for each of the vaccines we investigated, coverage gradually increased between 1999 and 2010 but then levelled off. Conclusion The delivery of routine vaccination services to Indian children appears to have improved between 1999 and 2013. There remains considerable scope to improve the recording and reporting of childhood vaccination coverage in India and regular systematic reviews of the coverage data are recommended. PMID:27843162

Leveraging Intelligent Vehicle Technologies to Maximize Fuel Economy (Presentation)

DOE Office of Scientific and Technical Information (OSTI.GOV)

Gonder, J.

2011-11-01

Advancements in vehicle electronics, along with communication and sensing technologies, have led to a growing number of intelligent vehicle applications. Example systems include those for advanced driver information, route planning and prediction, driver assistance, and crash avoidance. The National Renewable Energy Laboratory is exploring ways to leverage intelligent vehicle systems to achieve fuel savings. This presentation discusses several potential applications, such as providing intelligent feedback to drivers on specific ways to improve their driving efficiency, and using information about upcoming driving to optimize electrified vehicle control strategies for maximum energy efficiency and battery life. The talk also covers the potentialmore » of Advanced Driver Assistance Systems (ADAS) and related technologies to deliver significant fuel savings in addition to providing safety and convenience benefits.« less

Uncertainty and inferred reserve estimates; the 1995 National Assessment

USGS Publications Warehouse

Attanasi, E.D.; Coburn, Timothy C.

2003-01-01

Inferred reserves are expected additions to proved reserves of oil and gas fields discovered as of a certain date. Inferred reserves accounted for 65 percent of the total oil and 34 percent of the total gas assessed in the U.S. Geological Survey's 1995 National Assessment of oil and gas in onshore and State offshore areas. The assessment predicted that over the 80-year period from 1992 through 2071, the sizes of pre-1992 discoveries in the lower 48 onshore and State offshore areas will increase by 48 billion barrels of oil (BBO) and 313 trillion cubic feet of wet gas (TCF). At that time, only point estimates were reported. This study presents a scheme to compute confidence intervals for these estimates. The recentered 90 percent confidence interval for the estimated inferred oil of 48 BBO is 25 BBO and 82 BBO. Similarly, the endpoints of the confidence interval about inferred reserve estimate of 313 TCF are 227 TCF and 439 TCF. The range of the estimates provides a basis for development of scenarios for projecting reserve additions and ultimately oil and gas production, information important to energy policy analysis.

Updating national forest inventory estimates of growing stock volume using hybrid inference

Treesearch

Sonia Condés; Ronald E. McRoberts

2017-01-01

International organizations increasingly require estimates of forest parameters to monitor the state of and changes in forest resources, the sustainability of forest practices and the role of forests in the carbon cycle. Most countries rely on data from their national forest inventories (NFI) to produce these estimates. However, because NFI survey years may not match...

Rainfall recharge estimation on a nation-wide scale using satellite information in New Zealand

NASA Astrophysics Data System (ADS)

Westerhoff, Rogier; White, Paul; Moore, Catherine

2015-04-01

Models of rainfall recharge to groundwater are challenged by the need to combine uncertain estimates of rainfall, evapotranspiration, terrain slope, and unsaturated zone parameters (e.g., soil drainage and hydraulic conductivity of the subsurface). Therefore, rainfall recharge is easiest to estimate on a local scale in well-drained plains, where it is known that rainfall directly recharges groundwater. In New Zealand, this simplified approach works in the policy framework of regional councils, who manage water allocation at the aquifer and sub-catchment scales. However, a consistent overview of rainfall recharge is difficult to obtain at catchment and national scale: in addition to data uncertainties, data formats are inconsistent between catchments; the density of ground observations, where these exist, differs across regions; each region typically uses different local models for estimating recharge components; and different methods and ground observations are used for calibration and validation of these models. The research described in this paper therefore presents a nation-wide approach to estimate rainfall recharge in New Zealand. The method used is a soil water balance approach, with input data from national rainfall and soil and geology databases. Satellite data (i.e., evapotranspiration, soil moisture, and terrain) aid in the improved calculation of rainfall recharge, especially in data-sparse areas. A first version of the model has been implemented on a 1 km x 1 km and monthly scale between 2000 and 2013. A further version will include a quantification of recharge estimate uncertainty: with both "top down" input error propagation methods and catchment-wide "bottom up" assessments of integrated uncertainty being adopted. Using one nation-wide methodology opens up new possibilities: it can, for example, help in more consistent estimation of water budgets, groundwater fluxes, or other hydrological parameters. Since recharge is estimated for the entire land

Conditional standard errors of measurement for composite scores on the Wechsler Preschool and Primary Scale of Intelligence-Third Edition.

PubMed

Price, Larry R; Raju, Nambury; Lurie, Anna; Wilkins, Charles; Zhu, Jianjun

2006-02-01

A specific recommendation of the 1999 Standards for Educational and Psychological Testing by the American Educational Research Association, the American Psychological Association, and the National Council on Measurement in Education is that test publishers report estimates of the conditional standard error of measurement (SEM). Procedures for calculating the conditional (score-level) SEM based on raw scores are well documented; however, few procedures have been developed for estimating the conditional SEM of subtest or composite scale scores resulting from a nonlinear transformation. Item response theory provided the psychometric foundation to derive the conditional standard errors of measurement and confidence intervals for composite scores on the Wechsler Preschool and Primary Scale of Intelligence-Third Edition.

NATIONAL STORMWATER CALCULATOR: LOW IMPACT DEVELOPMENT STORMWATER CONTROL COST ESTIMATION PROGRAMMING & FUTURE ENHANCEMENTS

EPA Science Inventory

National Stormwater Calculator: Low Impact Development Stormwater Control Cost Estimation Programming & Future EnhancementsJason Berner1; Michael Tryby1; Scott Struck2, Dan Pankani2, Marion Deerhake3, Michelle Simon11. USEPA2. GeoSyntec, Inc.3. RTI, Inc.The National Stormwater Ca...

Characterizing health plan price estimator tools: findings from a national survey.

PubMed

Higgins, Aparna; Brainard, Nicole; Veselovskiy, German

2016-02-01

Policy makers have growing interest in price transparency and in the kinds of tools available to consumers. Health plans have implemented price estimator tools that make provider pricing information available to members; however, systematic data on prevalence and characteristics of such tools are limited. The purpose of this study was to describe the characteristics of price estimator tools offered by health plans to their members and to identify potential trends, challenges, and opportunities for advancing the utility of these tools. National Web-based survey. Between 2014 and 2015, we conducted a national Web-based survey of health plans with commercial enrollment (100 plans, 43% response rate). Descriptive analyses were conducted using survey data. Health plan members have access to a variety of price estimator tool capabilities for commonly used procedures. These tools take into account member characteristics, including member zip code and benefit design. Despite outreach to members, however, challenges remain with respect to member uptake of such tools. Our study found that health plans share price and provider performance data with their members.

Intelligence and arms control - a marriage of convenience

DOE Office of Scientific and Technical Information (OSTI.GOV)

Hirschfeld, T.J.

1987-01-01

This book offers the first comprehensive look at how the vast US intelligence network enables negotiators to forge viable arms control agreements. The intelligence role in all three phases of the arms control process is discussed - from the design phase when reliable information is needed, to the execution phase when proposals are modified, to the maintenance phase when agreed-upon obligations begin to constrain adversary behavior and compliance becomes the key political issue. Contributors include: former CIA Director William E. Colby; Douglas George, Chief of the CIA's Control Intelligence Staff, Admiral Bobby R. Inman, former NSA Director; Hans Mark, formermore » Air Force Secretary and NSA administrator; Walt W. Rostow, National Security Adviser to President Johnson; and Paul Warnke, former Director of the Arms Control and Disarmament Agency and Chief Negotiator for SALT II.« less

Improving the National Strategy Process

DTIC Science & Technology

2013-03-01

nation. Sunil Desai stated, “For any nation, coordinating the diverse elements of national power--diplomatic, economic, intelligence, military, and...Strategy”, Studies In Conflict and Terrorism, 34, no. 2, (2011), 139. 12 Sunil B. Desai, “Solving the Interagency Puzzle,” Policy Review 129

Evaluating the national land cover database tree canopy and impervious cover estimates across the conterminous United States: a comparison with photo-interpreted estimates

Treesearch

David J. Nowak; Eric J. Greenfield

2010-01-01

The 2001 National Land Cover Database (NLCD) provides 30-m resolution estimates of percentage tree canopy and percentage impervious cover for the conterminous United States. Previous estimates that compared NLCD tree canopy and impervious cover estimates with photo-interpreted cover estimates within selected counties and places revealed that NLCD underestimates tree...

Fluctuating asymmetry and psychometric intelligence.

PubMed Central

Furlow, F B; Armijo-Prewitt, T; Gangestad, S W; Thornhill, R

1997-01-01

Little is known about the genetic nature of human psychometric intelligence (IQ), but it is widely assumed that IQ's heritability is at loci for intelligence per se. We present evidence consistent with a hypothesis that interindividual IQ differences are partly due to heritable vulnerabilities to environmental sources of developmental stress, an indirect genetic mechanism for the heritability of IQ. Using fluctuating asymmetry (FA) of the body (the asymmetry resulting from errors in the development of normally symmetrical bilateral traits under stressful conditions), we estimated the relative developmental instability of 112 undergraduates and administered to them Cattell's culture fair intelligence test (CFIT). A subsequent replication on 128 students was performed. In both samples, FA correlated negatively and significantly with CFIT scores. We propose two non-mutually exclusive physiological explanations for this correlation. First, external body FA may correlate negatively with the developmental integrity of the brain. Second, individual energy budget allocations and/or low metabolic efficiency in high-FA individuals may lower IQ scores. We review the data on IQ in light of our findings and conclude that improving developmental quality may increase average IQ in future generations. PMID:9265189

No association between prenatal exposure to psychotropics and intelligence at age five.

PubMed

Eriksen, Hanne-Lise Falgreen; Kesmodel, Ulrik Schiøler; Pedersen, Lars Henning; Mortensen, Erik Lykke

2015-05-01

To examine associations between prenatal exposure to selective serotonin reuptake inhibitors (SSRIs)/anxiolytics and intelligence assessed with a standard clinical intelligence test at age 5 years. Longitudinal follow-up study. Denmark, 2003-2008. A total of 1780 women and their children sampled from the Danish National Birth Cohort. Self-reported information on use of SSRI and anxiolytics was obtained from the Danish National Birth Cohort at the time of consent and from two prenatal interviews. Intelligence was assessed at age 5 years, and parental education, maternal intelligence quotient (IQ), maternal smoking and alcohol consumption in pregnancy, the child's age at testing, sex, and tester were included in the full model. The IQ of 13 medication-exposed children was compared with the IQ of 19 children whose mothers had untreated depression and 1748 control children. Wechsler Preschool and Primary Scale of Intelligence - Revised. In unadjusted analyses, children of mothers who used antidepressants or anxiolytics during pregnancy had higher verbal IQ; this association, however, was insignificant after adjustment for potentially confounding maternal and child factors. No consistent associations between IQ and fetal exposure to antidepressants and anxiolytics were observed, but the study had low statistical power, and there is an obvious need to conduct long-term follow-up studies with comprehensive cognitive assessment and sufficiently large samples of adolescent or adult offspring. © 2015 Nordic Federation of Societies of Obstetrics and Gynecology.

Competitive Intelligence.

ERIC Educational Resources Information Center

Bergeron, Pierrette; Hiller, Christine A.

2002-01-01

Reviews the evolution of competitive intelligence since 1994, including terminology and definitions and analytical techniques. Addresses the issue of ethics; explores how information technology supports the competitive intelligence process; and discusses education and training opportunities for competitive intelligence, including core competencies…

Implementation of the National Intelligent Transportation Systems Program : a report to Congress

DOT National Transportation Integrated Search

1997-09-01

This report has been prepared by Mitretek systems for the Intelligent Transportation Systems (ITS) Joint Program Office of the Federal Highway Administration (FHWA). The report documents the first phase of an investigation of how to mainstream,...

Intelligence, Education, and Facets of Job Satisfaction.

ERIC Educational Resources Information Center

Ganzach, Yoav

2003-01-01

Analysis of two sets of National Longitudinal Survey data found that intelligence had a strong negative effect on intrinsic satisfaction, little effect on pay satisfaction, and positive association with desired job complexity, not expected pay. Education had a strong negative effect on pay satisfaction, little effect on intrinsic satisfaction, and…

Mobile robotics research at Sandia National Laboratories

DOE Office of Scientific and Technical Information (OSTI.GOV)

Morse, W.D.

Sandia is a National Security Laboratory providing scientific and engineering solutions to meet national needs for both government and industry. As part of this mission, the Intelligent Systems and Robotics Center conducts research and development in robotics and intelligent machine technologies. An overview of Sandia`s mobile robotics research is provided. Recent achievements and future directions in the areas of coordinated mobile manipulation, small smart machines, world modeling, and special application robots are presented.

Molecular genetic contributions to socioeconomic status and intelligence

PubMed Central

Marioni, Riccardo E.; Davies, Gail; Hayward, Caroline; Liewald, Dave; Kerr, Shona M.; Campbell, Archie; Luciano, Michelle; Smith, Blair H.; Padmanabhan, Sandosh; Hocking, Lynne J.; Hastie, Nicholas D.; Wright, Alan F.; Porteous, David J.; Visscher, Peter M.; Deary, Ian J.

2014-01-01

Education, socioeconomic status, and intelligence are commonly used as predictors of health outcomes, social environment, and mortality. Education and socioeconomic status are typically viewed as environmental variables although both correlate with intelligence, which has a substantial genetic basis. Using data from 6815 unrelated subjects from the Generation Scotland study, we examined the genetic contributions to these variables and their genetic correlations. Subjects underwent genome-wide testing for common single nucleotide polymorphisms (SNPs). DNA-derived heritability estimates and genetic correlations were calculated using the ‘Genome-wide Complex Trait Analyses’ (GCTA) procedures. 21% of the variation in education, 18% of the variation in socioeconomic status, and 29% of the variation in general cognitive ability was explained by variation in common SNPs (SEs ~ 5%). The SNP-based genetic correlations of education and socioeconomic status with general intelligence were 0.95 (SE 0.13) and 0.26 (0.16), respectively. There are genetic contributions to intelligence and education with near-complete overlap between common additive SNP effects on these traits (genetic correlation ~ 1). Genetic influences on socioeconomic status are also associated with the genetic foundations of intelligence. The results are also compatible with substantial environmental contributions to socioeconomic status. PMID:24944428

Estimation of the diesel exhaust exposures of railroad workers: II. National and historical exposures.

PubMed

Woskie, S R; Smith, T J; Hammond, S K; Schenker, M B; Garshick, E; Speizer, F E

1988-01-01

The diesel exhaust exposures of railroad workers in thirteen job groups from four railroads in the United States were used to estimate U.S. national average exposures with a linear statistical model which accounts for the significant variability in exposure caused by climate, the differences among railroads and the uneven distribution of railroad workers across climatic regions. Personal measurements of respirable particulate matter, adjusted to remove the contribution of cigarette smoke particles, were used as a marker for diesel exhaust. The estimated national means of adjusted respirable particulate matter (ARP) averaged 10 micrograms/m3 lower than the simple means for each job group, reflecting the climatic differences between the northern railroads studied and the distribution of railroad workers nationally. Limited historical records, including some industrial hygiene data, were used to evaluate past diesel exhaust exposures, which were estimated to be approximately constant from the 1950's to 1983.

Dyadic Short Forms of the Wechsler Adult Intelligence Scale-IV.

PubMed

Denney, David A; Ringe, Wendy K; Lacritz, Laura H

2015-08-01

Full Wechsler Adult Intelligence Scale-Fourth Edition (WAIS-IV) administration can be time-consuming and may not be necessary when intelligence quotient estimates will suffice. Estimated Full Scale Intelligence Quotient (FSIQ) and General Ability Index (GAI) scores were derived from nine dyadic short forms using individual regression equations based on data from a clinical sample (n = 113) that was then cross validated in a separate clinical sample (n = 50). Derived scores accounted for 70%-83% of the variance in FSIQ and 77%-88% of the variance in GAI. Predicted FSIQs were strongly associated with actual FSIQ (rs = .73-.88), as were predicted and actual GAIs (rs = .80-.93). Each of the nine dyadic short forms of the WAIS-IV was a good predictor of FSIQ and GAI in the validation sample. These data support the validity of WAIS-IV short forms when time is limited or lengthier batteries cannot be tolerated by patients. © The Author 2015. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Comparing cancer screening estimates: Behavioral Risk Factor Surveillance System and National Health Interview Survey.

PubMed

Sauer, Ann Goding; Liu, Benmei; Siegel, Rebecca L; Jemal, Ahmedin; Fedewa, Stacey A

2018-01-01

Cancer screening prevalence from the Behavioral Risk Factor Surveillance System (BRFSS), designed to provide state-level estimates, and the National Health Interview Survey (NHIS), designed to provide national estimates, are used to measure progress in cancer control. A detailed description of the extent to which recent cancer screening estimates vary by key demographic characteristics has not been previously described. We examined national prevalence estimates for recommended breast, cervical, and colorectal cancer screening using data from the 2012 and 2014 BRFSS and the 2010 and 2013 NHIS. Treating the NHIS estimates as the reference, direct differences (DD) were calculated by subtracting NHIS estimates from BRFSS estimates. Relative differences were computed by dividing the DD by the NHIS estimates. Two-sample t-tests (2-tails), were performed to test for statistically significant differences. BRFSS screening estimates were higher than those from NHIS for breast (78.4% versus 72.5%; DD=5.9%, p<0.0001); colorectal (65.5% versus 57.6%; DD=7.9%, p<0.0001); and cervical (83.4% versus 81.8%; DD=1.6%, p<0.0001) cancers. DDs were generally higher in racial/ethnic minorities than whites, in the least educated than most educated persons, and in uninsured than insured persons. For example, the colorectal cancer screening DD for whites was 7.3% compared to ≥8.9% for blacks and Hispanics. Despite higher prevalence estimates in BRFSS compared to NHIS, each survey has a unique and important role in providing information to track cancer screening utilization among various populations. Awareness of these differences and their potential causes is important when comparing the surveys and determining the best application for each data source. Copyright © 2017 Elsevier Inc. All rights reserved.

Summary of the 2018 National Defense Strategy of the United States of America

DTIC Science & Technology

2018-01-01

multilateral organizations, non-governmental organizations, corporations , and strategic influencers provide opportunities for collaboration and...competition requires the seamless integration of multiple elements of national power—diplomacy, information, economics, finance , intelligence, law...national power—diplomacy, information, economics, finance , intelligence, law enforcement, and military. More than any other nation, America can

Is adaptation of the word accentuation test of premorbid intelligence necessary for use among older, Spanish-speaking immigrants in the United States?

PubMed

Schrauf, Robert W; Weintraub, Sandra; Navarro, Ellen

2006-05-01

Adaptations of the National Adult Reading Test (NART) for assessing premorbid intelligence in languages other than English requires (a) generating word-items that are rare and do not follow grapheme-to-phoneme mappings common in that language, and (b) subsequent validation against a cognitive battery normed on the population of interest. Such tests exist for Italy, France, Spain, and Argentina, all normed against national versions of the Wechsler Adult Intelligence Scale. Given the varieties of Spanish spoken in the United States, the adaptation of the Spanish Word Accentuation Test (WAT) requires re-validating the original word list, plus possible new items, against a cognitive battery that has been normed on Spanish-speakers from many countries. This study reports the generation of 55 additional words and revalidation in a sample of 80 older, Spanish-dominant immigrants. The Batería Woodcock-Muñoz Revisada (BWM-R), normed on Spanish speakers from six countries and five U.S. states, was used to establish criterion validity. The original WAT word list accounted for 77% of the variance in the BWM-R and 58% of the variance in Ravens Colored Progressive Matrices, suggesting that the unmodified list possesses adequate predictive validity as an indicator of intelligence. Regression equations are provided for estimating BWM-R and Ravens scores from WAT scores.

Low Power Multi-Hop Networking Analysis in Intelligent Environments.

PubMed

Etxaniz, Josu; Aranguren, Gerardo

2017-05-19

Intelligent systems are driven by the latest technological advances in many different areas such as sensing, embedded systems, wireless communications or context recognition. This paper focuses on some of those areas. Concretely, the paper deals with wireless communications issues in embedded systems. More precisely, the paper combines the multi-hop networking with Bluetooth technology and a quality of service (QoS) metric, the latency. Bluetooth is a radio license-free worldwide communication standard that makes low power multi-hop wireless networking available. It establishes piconets (point-to-point and point-to-multipoint links) and scatternets (multi-hop networks). As a result, many Bluetooth nodes can be interconnected to set up ambient intelligent networks. Then, this paper presents the results of the investigation on multi-hop latency with park and sniff Bluetooth low power modes conducted over the hardware test bench previously implemented. In addition, the empirical models to estimate the latency of multi-hop communications over Bluetooth Asynchronous Connectionless Links (ACL) in park and sniff mode are given. The designers of devices and networks for intelligent systems will benefit from the estimation of the latency in Bluetooth multi-hop communications that the models provide.

Low Power Multi-Hop Networking Analysis in Intelligent Environments

PubMed Central

Etxaniz, Josu; Aranguren, Gerardo

2017-01-01

Intelligent systems are driven by the latest technological advances in many different areas such as sensing, embedded systems, wireless communications or context recognition. This paper focuses on some of those areas. Concretely, the paper deals with wireless communications issues in embedded systems. More precisely, the paper combines the multi-hop networking with Bluetooth technology and a quality of service (QoS) metric, the latency. Bluetooth is a radio license-free worldwide communication standard that makes low power multi-hop wireless networking available. It establishes piconets (point-to-point and point-to-multipoint links) and scatternets (multi-hop networks). As a result, many Bluetooth nodes can be interconnected to set up ambient intelligent networks. Then, this paper presents the results of the investigation on multi-hop latency with park and sniff Bluetooth low power modes conducted over the hardware test bench previously implemented. In addition, the empirical models to estimate the latency of multi-hop communications over Bluetooth Asynchronous Connectionless Links (ACL) in park and sniff mode are given. The designers of devices and networks for intelligent systems will benefit from the estimation of the latency in Bluetooth multi-hop communications that the models provide. PMID:28534847

Artificial Intelligence.

ERIC Educational Resources Information Center

Thornburg, David D.

1986-01-01

Overview of the artificial intelligence (AI) field provides a definition; discusses past research and areas of future research; describes the design, functions, and capabilities of expert systems and the "Turing Test" for machine intelligence; and lists additional sources for information on artificial intelligence. Languages of AI are…

Domain-specific knowledge as the "dark matter" of adult intelligence: Gf/Gc, personality and interest correlates.

PubMed

Ackerman, P L

2000-03-01

An enduring controversy in intelligence theory and assessment, the argument that middle-aged adults are, on average, less intelligent than young adults, is addressed in this study. A sample of 228 educated adults between ages 21 and 62 years was given an array of tests that focused on a broad assessment of intelligence-as-knowledge, traditional estimates of fluid intelligence (Gf) and crystallized intelligence (Gc), personality, and interests. The results indicate that middle-aged adults are more knowledgeable in many domains, compared with younger adults. A coherent pattern of ability, personality, and interest relations is found. The results are consistent with a developmental perspective of intelligence that includes both traditional ability and non-ability determinants of intelligence during adulthood. A reassessment of the nature of intelligence in adulthood is provided, in the context of a lifelong learning and investment model, called PPIK, for intelligence-as-Process, Personality, Interests, and intelligence-as-Knowledge (Ackerman, 1996).

Prediction of National Wealth

ERIC Educational Resources Information Center

Whetzel, Deborah L.; McDaniel, Michael A.

2006-01-01

In their book, IQ and the Wealth of Nations, Lynn and Vanhanen ([Lynn, R. and Vanhanen, T. (2002). IQ and the wealth of nations. Westport, CT: Praeger.]) proposed the hypothesis that "the intelligence of the populations has been a major factor responsible for the national differences in economic growth and for the gap in per capita income between…

Plant intelligence.

PubMed

Trewavas, Anthony

2005-09-01

Intelligent behavior is a complex adaptive phenomenon that has evolved to enable organisms to deal with variable environmental circumstances. Maximizing fitness requires skill in foraging for necessary resources (food) in competitive circumstances and is probably the activity in which intelligent behavior is most easily seen. Biologists suggest that intelligence encompasses the characteristics of detailed sensory perception, information processing, learning, memory, choice, optimisation of resource sequestration with minimal outlay, self-recognition, and foresight by predictive modeling. All these properties are concerned with a capacity for problem solving in recurrent and novel situations. Here I review the evidence that individual plant species exhibit all of these intelligent behavioral capabilities but do so through phenotypic plasticity, not movement. Furthermore it is in the competitive foraging for resources that most of these intelligent attributes have been detected. Plants should therefore be regarded as prototypical intelligent organisms, a concept that has considerable consequences for investigations of whole plant communication, computation and signal transduction.

Common genetic variants explain the majority of the correlation between height and intelligence: the generation Scotland study.

PubMed

Marioni, Riccardo E; Batty, G David; Hayward, Caroline; Kerr, Shona M; Campbell, Archie; Hocking, Lynne J; Porteous, David J; Visscher, Peter M; Deary, Ian J

2014-03-01

Greater height and higher intelligence test scores are predictors of better health outcomes. Here, we used molecular (single-nucleotide polymorphism) data to estimate the genetic correlation between height and general intelligence (g) in 6,815 unrelated subjects (median age 57, IQR 49-63) from the Generation Scotland: Scottish Family Health Study cohort. The phenotypic correlation between height and g was 0.16 (SE 0.01). The genetic correlation between height and g was 0.28 (SE 0.09) with a bivariate heritability estimate of 0.71. Understanding the molecular basis of the correlation between height and intelligence may help explain any shared role in determining health outcomes. This study identified a modest genetic correlation between height and intelligence with the majority of the phenotypic correlation being explained by shared genetic influences.

Traveling With Success: How Local Governments Use Intelligent Transportation Systems

DOT National Transportation Integrated Search

1995-01-01

The federal government, through the U.S. Department of Transportation, has launched a national campaign to integrate application of Intelligent Transportation Systems (ITS) technologies. This initiative provides the building blocks needed to combine ...

Intelligence.

PubMed

Sternberg, Robert J

2012-03-01

Intelligence is the ability to learn from experience and to adapt to, shape, and select environments. Intelligence as measured by (raw scores on) conventional standardized tests varies across the lifespan, and also across generations. Intelligence can be understood in part in terms of the biology of the brain-especially with regard to the functioning in the prefrontal cortex-and also correlates with brain size, at least within humans. Studies of the effects of genes and environment suggest that the heritability coefficient (ratio of genetic to phenotypic variation) is between .4 and .8, although heritability varies as a function of socioeconomic status and other factors. Racial differences in measured intelligence have been observed, but race is a socially constructed rather than biological variable, so such differences are difficult to interpret.

Intelligence

PubMed Central

Sternberg, Robert J.

2012-01-01

Intelligence is the ability to learn from experience and to adapt to, shape, and select environments. Intelligence as measured by (raw scores on) conventional standardized tests varies across the lifespan, and also across generations. Intelligence can be understood in part in terms of the biology of the brain—especially with regard to the functioning in the prefrontal cortex—and also correlates with brain size, at least within humans. Studies of the effects of genes and environment suggest that the heritability coefficient (ratio of genetic to phenotypic variation) is between .4 and .8, although heritability varies as a function of socioeconomic status and other factors. Racial differences in measured intelligence have been observed, but race is a socially constructed rather than biological variable, so such differences are difficult to interpret. PMID:22577301

Estimated Prevalence of People with Cognitive Impairment: Results from Nationally Representative Community and Institutional Surveys

ERIC Educational Resources Information Center

Bernstein, Amy B.; Remsburg, Robin E.

2007-01-01

Purpose: We address how the national prevalence of cognitive impairment can be estimated from two nationally representative surveys. Design and Methods: Data are from the 1999-2001 National Health Interview Survey (NHIS) and the 1999 National Nursing Home Survey (NNHS). The NHIS represents all community-dwelling people living in the United States,…

Organisational Intelligence

ERIC Educational Resources Information Center

Yolles, Maurice

2005-01-01

Purpose: Seeks to explore the notion of organisational intelligence as a simple extension of the notion of the idea of collective intelligence. Design/methodology/approach: Discusses organisational intelligence using previous research, which includes the Purpose, Properties and Practice model of Dealtry, and the Viable Systems model. Findings: The…

Launch vehicle operations cost reduction through artificial intelligence techniques

NASA Technical Reports Server (NTRS)

Davis, Tom C., Jr.

1988-01-01

NASA's Kennedy Space Center has attempted to develop AI methods in order to reduce the cost of launch vehicle ground operations as well as to improve the reliability and safety of such operations. Attention is presently given to cost savings estimates for systems involving launch vehicle firing-room software and hardware real-time diagnostics, as well as the nature of configuration control and the real-time autonomous diagnostics of launch-processing systems by these means. Intelligent launch decisions and intelligent weather forecasting are additional applications of AI being considered.

Great Powers, National Interests, and Australian Grand Strategy

DTIC Science & Technology

2013-06-01

52 National Intelligence Council, Global Trends 2030: Alternative Worlds, Kindle ed. (Washington, DC: National Intelligence Council, 2012), loc ...Kennedy, The Rise and Fall of the Great Powers: Economic Change and Military Conflict From 1500 to 2000, Kindle ed., (New York: Vintage, 1987), loc ...Kennedy, The Rise and Fall of the Great Powers, loc . 6359. 9 George C. Herring, From Colony to Superpower: U.S. Foreign Relations Since 1776, Kindle

Estimating the National Carbon Abatement Potential of City Policies: A Data-Driven Approach

DOE Office of Scientific and Technical Information (OSTI.GOV)

O'Shaughnessy, Eric; Heeter, Jenny; Keyser, David

Cities are increasingly taking actions such as building code enforcement, urban planning, and public transit expansion to reduce emissions of carbon dioxide in their communities and municipal operations. However, many cities lack the quantitative information needed to estimate policy impacts and prioritize city actions in terms of carbon abatement potential and cost effectiveness. This report fills this research gap by providing methodologies to assess the carbon abatement potential of a variety of city actions. The methodologies are applied to an energy use data set of 23,458 cities compiled for the U.S. Department of Energy City Energy Profile tool. The analysismore » develops a national estimate of the carbon abatement potential of realizable city actions in six specific policy areas encompassing the most commonly implemented city actions. The results of this analysis suggest that, in aggregate, cities could reduce nationwide carbon emissions by about 210 million metric tons of carbon dioxide (MMT CO2) per year in a 'moderate abatement scenario' by 2035 and 480 MMT CO2/year in a 'high abatement scenario' by 2035 through these common actions typically within a city's control in the six policy areas. The aggregate carbon abatement potential of these specific areas equates to a reduction of 3%-7% relative to 2013 U.S. emissions. At the city level, the results suggest the average city could reduce carbon emissions by 7% (moderate) to 19% (high) relative to current city-level emissions. In the context of U.S. climate commitments under the 21st session of the Conference of the Parties (COP21), the estimated national abatement potential of the city actions analyzed in this report equates to about 15%-35% of the remaining carbon abatement necessary to achieve the U.S. COP21 target. Additional city actions outside the scope of this report, such as community choice aggregation (city-level purchasing of renewable energy), zero energy districts, and multi-level governance

Identifying emotional intelligence in professional nursing practice.

PubMed

Kooker, Barbara Molina; Shoultz, Jan; Codier, Estelle E

2007-01-01

The National Center for Health Workforce Analysis projects that the shortage of registered nurses in the United States will double by 2010 and will nearly quadruple to 20% by 2015 (Bureau of Health Professionals Health Resources and Services Administration. [2002]. Projected supply, demand, and shortages of registered nurses, 2000-2020 [On-line]. Available: http:bhpr.hrsa.gov/healthworkforce/reports/rnprojects/report.htm). The purpose of this study was to use the conceptual framework of emotional intelligence to analyze nurses' stories about their practice to identify factors that could be related to improved nurse retention and patient/client outcomes. The stories reflected evidence of the competencies and domains of emotional intelligence and were related to nurse retention and improved outcomes. Nurses recognized their own strengths and limitations, displayed empathy and recognized client needs, nurtured relationships, used personal influence, and acted as change agents. Nurses were frustrated when organizational barriers conflicted with their knowledge/intuition about nursing practice, their communications were disregarded, or their attempts to create a shared vision and teamwork were ignored. Elements of professional nursing practice, such as autonomy, nurse satisfaction, respect, and the professional practice environment, were identified in the excerpts of the stories. The shortage of practicing nurses continues to be a national issue. The use of emotional intelligence concepts may provide fresh insights into ways to keep nurses engaged in practice and to improve nurse retention and patient/client outcomes.

Social Intelligence: Next Generation Business Intelligence

DOE Office of Scientific and Technical Information (OSTI.GOV)

Troy Hiltbrand

In order for Business Intelligence to truly move beyond where it is today, a shift in approach must occur. Currently, much of what is accomplished in the realm of Business Intelligence relies on reports and dashboards to summarize and deliver information to end users. As we move into the future, we need to get beyond these reports and dashboards to a point where we break out the individual metrics that are embedded in these reports and interact with these components independently. Breaking these pieces of information out of the confines of reports and dashboards will allow them to be dynamicallymore » assembled for delivery in the way that makes most sense to each consumer. With this change in ideology, Business Intelligence will move from the concept of collections of objects, or reports and dashboards, to individual objects, or information components. The Next Generation Business Intelligence suite will translate concepts popularized in Facebook, Flickr, and Digg into enterprise worthy communication vehicles.« less

Does high intelligence improve prognosis? The association of intelligence with recurrence and mortality among Swedish men with coronary heart disease.

PubMed

Sörberg Wallin, Alma; Falkstedt, Daniel; Allebeck, Peter; Melin, Bo; Janszky, Imre; Hemmingsson, Tomas

2015-04-01

Lower intelligence early in life is associated with increased risks for coronary heart disease (CHD) and mortality. Intelligence level might affect compliance to treatment but its prognostic importance in patients with CHD is unknown. A cohort of 1923 Swedish men with a measure of intelligence from mandatory military conscription in 1969-1970 at age 18-20, who were diagnosed with CHD 1991-2007, were followed to the end of 2008. recurrent CHD event. Secondary outcome: case fatality from the first event, cardiovascular and all-cause mortality. National registers provided information on CHD events, comorbidity, mortality and socioeconomic factors. The fully adjusted HRs for recurrent CHD for medium and low intelligence, compared with high intelligence, were 0.98, (95% CIs 0.83 to 1.16) and 1.09 (0.89 to 1.34), respectively. The risks were increased for cardiovascular and all-cause mortality with lower intelligence, but were attenuated in the fully adjusted models (fully adjusted HRs for cardiovascular mortality 1.92 (0.94 to 3.94) and 1.98 (0.89 to 4.37), respectively; for all-cause mortality 1.63 (1.00 to 2.65) and 1.62 (0.94 to 2.78), respectively). There was no increased risk for case-fatality at the first event (fully adjusted ORs 1.06 (0.73 to 1.55) and 0.97 (0.62 to 1.50), respectively). Although we found lower intelligence to be associated with increased mortality in middle-aged men with CHD, there was no evidence for its possible effect on recurrence in CHD. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

Water Intelligence and the Cyber-Infrastructure Revolution

NASA Astrophysics Data System (ADS)

Cline, D. W.

2015-12-01

As an intrinsic factor in national security, the global economy, food and energy production, and human and ecological health, fresh water resources are increasingly being considered by an ever-widening array of stakeholders. The U.S. intelligence community has identified water as a key factor in the Nation's security risk profile. Water industries are growing rapidly, and seek to revolutionize the role of water in the global economy, making water an economic value rather than a limitation on operations. Recent increased focus on the complex interrelationships and interdependencies between water, food, and energy signal a renewed effort to move towards integrated water resource management. Throughout all of this, hydrologic extremes continue to wreak havoc on communities and regions around the world, in some cases threatening long-term economic stability. This increased attention on water coincides with the "second IT revolution" of cyber-infrastructure (CI). The CI concept is a convergence of technology, data, applications and human resources, all coalescing into a tightly integrated global grid of computing, information, networking and sensor resources, and ultimately serving as an engine of change for collaboration, education and scientific discovery and innovation. In the water arena, we have unprecedented opportunities to apply the CI concept to help address complex water challenges and shape the future world of water resources - on both science and socio-economic application fronts. Providing actionable local "water intelligence" nationally or globally is now becoming feasible through high-performance computing, data technologies, and advanced hydrologic modeling. Further development on all of these fronts appears likely and will help advance this much-needed capability. Lagging behind are water observation systems, especially in situ networks, which need significant innovation to keep pace with and help fuel rapid advancements in water intelligence.

Estimating Acute Viral Hepatitis Infections From Nationally Reported Cases

PubMed Central

Liu, Stephen; Roberts, Henry; Jiles, Ruth B.; Holmberg, Scott D.

2014-01-01

Objectives. Because only a fraction of patients with acute viral hepatitis A, B, and C are reported through national surveillance to the Centers for Disease Control and Prevention, we estimated the true numbers. Methods. We applied a simple probabilistic model to estimate the fraction of patients with acute hepatitis A, hepatitis B, and hepatitis C who would have been symptomatic, would have sought health care tests, and would have been reported to health officials in 2011. Results. For hepatitis A, the frequencies of symptoms (85%), care seeking (88%), and reporting (69%) yielded an estimate of 2730 infections (2.0 infections per reported case). For hepatitis B, the frequencies of symptoms (39%), care seeking (88%), and reporting (45%) indicated 18 730 infections (6.5 infections per reported case). For hepatitis C, the frequency of symptoms among injection drug users (13%) and those infected otherwise (48%), proportion seeking care (88%), and percentage reported (53%) indicated 17 100 infections (12.3 infections per reported case). Conclusions. These adjustment factors will allow state and local health authorities to estimate acute hepatitis infections locally and plan prevention activities accordingly. PMID:24432918

Intelligence Community Legal Reference Book

DTIC Science & Technology

2009-01-01

NUMBER 5b. GRANT NUMBER 5c. PROGRAM ELEMENT NUMBER 6. AUTHOR(S) 5d. PROJECT NUMBER 5e. TASK NUMBER 5f. WORK UNIT NUMBER 7. PERFORMING ORGANIZATION ...NAME(S) AND ADDRESS(ES) Office of the Director of National Intelligence,Office of General Counsel,Washington,DC,20511 8. PERFORMING ORGANIZATION ...what text to include and how to organize the book. We welcome your thoughts for improving future versions. The following materials were reprinted

Strategic latency and warning. Private sector perspectives on current intelligence challenges in science and technology

DOE Office of Scientific and Technical Information (OSTI.GOV)

Davis, Zachary; Gac, Frank; Nacht, Michael

Lawrence Livermore National Laboratory and National Intelligence University convened a group of business experts to examine parallels between S&T competition in the marketplace and science and technology intelligence (S&TI). The experts identified the centrality of people — individuals and connected groups — to the successful development and application of latent S&T capabilities. People may indeed be more important to recognizing S&T potential than deep knowledge of any particular technology. This report explores the significance of this key insight for S&TI.

Artificial Intelligence.

ERIC Educational Resources Information Center

Information Technology Quarterly, 1985

1985-01-01

This issue of "Information Technology Quarterly" is devoted to the theme of "Artificial Intelligence." It contains two major articles: (1) Artificial Intelligence and Law" (D. Peter O'Neill and George D. Wood); (2) "Artificial Intelligence: A Long and Winding Road" (John J. Simon, Jr.). In addition, it contains two sidebars: (1) "Calculating and…

Breastfeeding is positively associated with child intelligence even net of parental IQ.

PubMed

Kanazawa, Satoshi

2015-12-01

Some previous reviews conclude that breastfeeding is not significantly associated with increased intelligence in children once mother's IQ is statistically controlled. The conclusion may potentially have both theoretical and methodological problems. The National Child Development Study allows the examination of the effect of breastfeeding on intelligence in two consecutive generations of British children. The analysis of the first generation shows that the effect of breastfeeding on intelligence increases from Age 7 to 16. The analysis of the second generation shows that each month of breastfeeding, net of parental IQ and other potential confounds, is associated with an increase of .16 IQ points. Further analyses suggest that some previous studies may have failed to uncover the effect of breastfeeding on child intelligence because of their reliance on one IQ test. (c) 2015 APA, all rights reserved).

Vocabulary Is an Appropriate Measure of Premorbid Intelligence in a Sample with Heterogeneous Educational Level in Brazil

PubMed Central

de Oliveira, Maira Okada; Nitrini, Ricardo; Yassuda, Mônica Sanches; Brucki, Sonia Maria Dozzi

2014-01-01

Crystallized intelligence refers to one's knowledge base and can be measured by vocabulary tests. Fluid intelligence is related to nonverbal aspects of intelligence, depends very little on previously acquired knowledge, and can be measured by tests such as Block Design (BD) and Raven Colored Matrices (RCM). Premorbid intelligence quotient (IQ) refers to one's intellectual ability level previous to the onset of disorders like mild cognitive impairment (MCI) and Alzheimer's disease (AD) and it is important to estimate disease severity. The objective was to compare performance in tests that measure crystallized and fluid intelligence in healthy subjects and patients with amnestic MCI (aMCI) and AD. One hundred forty-four participants (aMCI (n = 38), AD (n = 45), and healthy controls (n = 61)) were submitted to neuropsychological tests (WAIS-III vocabulary, BD, and RCM). There were significant among groups, except for vocabulary, indicating a relative stability of crystallized intelligence in the continuum from normal to pathological cognitive decline. Vocabulary seems to be stable during the progression of the disease and useful as a measure of premorbid intelligence, that is, to estimate previous function in relation to the level of education and, as a collateral measure of cognition in people with low education. PMID:24803737

Vocabulary is an appropriate measure of premorbid intelligence in a sample with heterogeneous educational level in Brazil.

PubMed

de Oliveira, Maira Okada; Nitrini, Ricardo; Yassuda, Mônica Sanches; Brucki, Sonia Maria Dozzi

2014-01-01

Crystallized intelligence refers to one's knowledge base and can be measured by vocabulary tests. Fluid intelligence is related to nonverbal aspects of intelligence, depends very little on previously acquired knowledge, and can be measured by tests such as Block Design (BD) and Raven Colored Matrices (RCM). Premorbid intelligence quotient (IQ) refers to one's intellectual ability level previous to the onset of disorders like mild cognitive impairment (MCI) and Alzheimer's disease (AD) and it is important to estimate disease severity. The objective was to compare performance in tests that measure crystallized and fluid intelligence in healthy subjects and patients with amnestic MCI (aMCI) and AD. One hundred forty-four participants (aMCI (n = 38), AD (n = 45), and healthy controls (n = 61)) were submitted to neuropsychological tests (WAIS-III vocabulary, BD, and RCM). There were significant among groups, except for vocabulary, indicating a relative stability of crystallized intelligence in the continuum from normal to pathological cognitive decline. Vocabulary seems to be stable during the progression of the disease and useful as a measure of premorbid intelligence, that is, to estimate previous function in relation to the level of education and, as a collateral measure of cognition in people with low education.

Self-Assessing of the Emotional Intelligence and Organizational Intelligence in Schools

ERIC Educational Resources Information Center

Dagiene, Valentina; Juškeviciene, Anita; Carneiro, Roberto; Child, Camilla; Cullen, Joe

2015-01-01

The paper presents the results of an evaluation of the Emotional Intelligence (EI) and Organisational Intelligence (OI) competences self-assessment tools developed and applied by the IGUANA project. In the paper Emotional Intelligence and Organisational Intelligence competences are discussed, their use in action research experiments to assess and…

A multilevel approach to the relationship between birth order and intelligence.

PubMed

Wichman, Aaron L; Rodgers, Joseph Lee; MacCallum, Robert C

2006-01-01

Many studies show relationships between birth order and intelligence but use cross-sectional designs or manifest other threats to internal validity. Multilevel analyses with a control variable show that when these threats are removed, two major results emerge: (a) birth order has no significant influence on children's intelligence and (b) earlier reported birth order effects on intelligence are attributable to factors that vary between, not within, families. Analyses on 7- to 8 - and 13- to 14-year-old children from the National Longitudinal Survey of Youth support these conclusions. When hierarchical data structures, age variance of children, and within-family versus between-family variance sources are taken into account, previous research is seen in a new light.

Intelligence Campaign Planning: An Opportunity for the Army in Defense Intelligence Synchronization

DTIC Science & Technology

2007-04-01

Intelligence Campaign Planning: An Opportunity for the Army in Defense Intelligence Synchronization A Monograph by MAJ...AND SUBTITLE Intelligence Campaign Planning: An Opportunity for the Army 5a. CONTRACT NUMBER In Defense Intelligence Synchronization 5b. GRANT...centrally plan ISR Synchronization in support of regional combatant commander operation plans. ICP initially emerged out of intelligence reform

From the Little Red Book to the Purple Book: Transforming Intelligence into a Profession one Page at a Time

DTIC Science & Technology

2010-05-21

Treverton and C. Bryan Gabbard , "Assessing the Tradecraft of Intelligence Analysis," RAND, National Security Research Division, 2008, http...establish Intelligence School broad accreditation guidelines as has the ABA for accredited law schools. Treverton and Gabbard observe...60 Treverton and Gabbard , 38. 61 Huntington, 9. 62 ICD 203. 22 intelligence organization. The third social

The future of transportation starts here : intelligent transportation systems

DOT National Transportation Integrated Search

1998-01-01

This "Vision Folder" contains the following items: FHWA-JPO-98-008, a 16-page brochure entitled "You Are About to Enter the Age of Intelligent Transportation" (see TRIS 00746661); FHWA-JPO-98-019, a 2-page fact sheet entitled "The National ITS Archit...

The level and nature of autistic intelligence III: Inspection time.

PubMed

Barbeau, Elise B; Soulières, Isabelle; Dawson, Michelle; Zeffiro, Thomas A; Mottron, Laurent

2013-02-01

Across the autism spectrum, level of intelligence is highly dependent on the psychometric instrument used for assessment, and there are conflicting views concerning which measures best estimate autistic cognitive abilities. Inspection time is a processing speed measure associated with general intelligence in typical individuals. We therefore investigated autism spectrum performance on inspection time in relation to two different general intelligence tests. Autism spectrum individuals were divided into autistic and Asperger subgroups according to speech development history. Compared to a typical control group, mean inspection time for the autistic subgroup but not the Asperger subgroup was significantly shorter (by 31%). However, the shorter mean autistic inspection time was evident only when groups were matched on Wechsler IQ and disappeared when they were matched using Raven's Progressive Matrices. When autism spectrum abilities are compared to typical abilities, results may be influenced by speech development history as well as by the instrument used for intelligence matching. 2013 APA, all rights reserved

Estimating White-tailed Deer abundance at Gettysburg National Military Park and Eisenhower National Historic Site

USGS Publications Warehouse

Stainbrook, David P.; Diefenbach, Duane R.

2012-01-01

The mission at Gettysburg National Military Park and Eisenhower National Historic Site (GNMP-ENHS) is to preserve the historic character of the parks to enable current and future generations to understand and interpret the events that took place at each park. Management objectives include maintaining the landscape as it existed during the historic 1863 Civil War battle (e.g., dense understory in woodlots) in GNMP and as it existed during Eisenhower’s occupancy (e.g., patchwork of cropfields) in ENHS. Browsing by white-tailed deer (Odocoileus virginianus) diminished regeneration of native trees in woodlots and prevented crops from reaching maturity. Thus, to increase regeneration in woodlots and reduce crop damage, the National Park Service (NPS) began culling deer in 1995 to reach a density goal of 10 deer/km2 of forest. However, park managers were interested in an accurate population estimate to determine if their management goal has been met and possible methods to monitor future abundance.

Intelligent Transportation Systems (ITS) in the NPS : 2005 baseline inventory and preliminary program assessment

DOT National Transportation Integrated Search

2006-01-19

This report presents the current status of Intelligent Transportation Systems (ITS) within the 398 national parks managed by the National Park Service (NPS), discusses the potential of ITS to address the often unique transportation challenges faced b...

Team B Intelligence Coups

ERIC Educational Resources Information Center

Mitchell, Gordon R.

2006-01-01

The 2003 Iraq prewar intelligence failure was not simply a case of the U.S. intelligence community providing flawed data to policy-makers. It also involved subversion of the competitive intelligence analysis process, where unofficial intelligence boutiques "stovepiped" misleading intelligence assessments directly to policy-makers and…

Neuroscience, ethics, and national security: the state of the art.

PubMed

Tennison, Michael N; Moreno, Jonathan D

2012-01-01

National security organizations in the United States, including the armed services and the intelligence community, have developed a close relationship with the scientific establishment. The latest technology often fuels warfighting and counter-intelligence capacities, providing the tactical advantages thought necessary to maintain geopolitical dominance and national security. Neuroscience has emerged as a prominent focus within this milieu, annually receiving hundreds of millions of Department of Defense dollars. Its role in national security operations raises ethical issues that need to be addressed to ensure the pragmatic synthesis of ethical accountability and national security.

Neuroscience, Ethics, and National Security: The State of the Art

PubMed Central

Tennison, Michael N.; Moreno, Jonathan D.

2012-01-01

National security organizations in the United States, including the armed services and the intelligence community, have developed a close relationship with the scientific establishment. The latest technology often fuels warfighting and counter-intelligence capacities, providing the tactical advantages thought necessary to maintain geopolitical dominance and national security. Neuroscience has emerged as a prominent focus within this milieu, annually receiving hundreds of millions of Department of Defense dollars. Its role in national security operations raises ethical issues that need to be addressed to ensure the pragmatic synthesis of ethical accountability and national security. PMID:22448146

A Role for the X Chromosome in Sex Differences in Variability in General Intelligence?

PubMed

Johnson, Wendy; Carothers, Andrew; Deary, Ian J

2009-11-01

There is substantial evidence that males are more variable than females in general intelligence. In recent years, researchers have presented this as a reason that, although there is little, if any, mean sex difference in general intelligence, males tend to be overrepresented at both ends of its overall distribution. Part of the explanation could be the presence of genes on the X chromosome related both to syndromal disorders involving mental retardation and to population variation in general intelligence occurring normally. Genes on the X chromosome appear overrepresented among genes with known involvement in mental retardation, which is consistent with a model we developed of the population distribution of general intelligence as a mixture of two normal distributions. Using this model, we explored the expected ratios of males to females at various points in the distribution and estimated the proportion of variance in general intelligence potentially due to genes on the X chromosome. These estimates provide clues to the extent to which biologically based sex differences could be manifested in the environment as sex differences in displayed intellectual abilities. We discuss these observations in the context of sex differences in specific cognitive abilities and evolutionary theories of sexual selection. © 2009 Association for Psychological Science.

Development of the Korean Adult Reading Test (KART) to estimate premorbid intelligence in dementia patients

PubMed Central

Seo, Eun Hyun; Han, Ji Young; Sohn, Bo Kyung; Byun, Min Soo; Lee, Jun Ho; Choe, Young Min; Ahn, Suzy; Woo, Jong Inn; Jun, Jongho; Lee, Dong Young

2017-01-01

We aimed to develop a word-reading test for Korean-speaking adults using irregularly pronounced words that would be useful for estimation of premorbid intelligence. A linguist who specialized in Korean phonology selected 94 words that have irregular relationship between orthography and phonology. Sixty cognitively normal elderly (CN) and 31 patients with Alzheimer’s disease (AD) were asked to read out loud the words and were administered the Wechsler Adult Intelligence Scale, 4th edition, Korean version (K-WAIS-IV). Among the 94 words, 50 words that did not show a significant difference between the CN and the AD group were selected and constituted the KART. Using the 30 CN calculation group (CNc), a linear regression equation was obtained in which the observed full-scale IQ (FSIQ) was regressed on the reading errors of the KART, where education was included as an additional variable. When the regressed equation computed from the CNc was applied to 30 CN individuals of the validation group (CNv), the predicted FSIQ adequately fit the observed FSIQ (R2 = 0.63). In addition, independent sample t-test showed that the KART-predicted IQs were not significantly different between the CNv and AD groups, whereas the performance of the AD group was significantly worse in the observed IQs. In addition, an extended validation of the KART was performed with a separate sample consisted of 84 CN, 56 elderly with mild cognitive impairment (MCI), and 43 AD patients who were administered comprehensive neuropsychological assessments in addition to the KART. When the equation obtained from the CNc was applied to the extended validation sample, the KART-predicted IQs of the AD, MCI and the CN groups did not significantly differ, whereas their current global cognition scores significantly differed between the groups. In conclusion, the results support the validity of KART-predicted IQ as an index of premorbid IQ in individuals with AD. PMID:28723964

IQARIS : a tool for the intelligent querying, analysis, and retrieval from information systems.

DOE Office of Scientific and Technical Information (OSTI.GOV)

Hummel, J. R.; Silver, R. B.

Information glut is one of the primary characteristics of the electronic age. Managing such large volumes of information (e.g., keeping track of the types, where they are, their relationships, who controls them, etc.) can be done efficiently with an intelligent, user-oriented information management system. The purpose of this paper is to describe a concept for managing information resources based on an intelligent information technology system developed by the Argonne National Laboratory for managing digital libraries. The Argonne system, Intelligent Query (IQ), enables users to query digital libraries and view the holdings that match the query from different perspectives.

Imputing forest carbon stock estimates from inventory plots to a nationally continuous coverage

PubMed Central

2013-01-01

The U.S. has been providing national-scale estimates of forest carbon (C) stocks and stock change to meet United Nations Framework Convention on Climate Change (UNFCCC) reporting requirements for years. Although these currently are provided as national estimates by pool and year to meet greenhouse gas monitoring requirements, there is growing need to disaggregate these estimates to finer scales to enable strategic forest management and monitoring activities focused on various ecosystem services such as C storage enhancement. Through application of a nearest-neighbor imputation approach, spatially extant estimates of forest C density were developed for the conterminous U.S. using the U.S.’s annual forest inventory. Results suggest that an existing forest inventory plot imputation approach can be readily modified to provide raster maps of C density across a range of pools (e.g., live tree to soil organic carbon) and spatial scales (e.g., sub-county to biome). Comparisons among imputed maps indicate strong regional differences across C pools. The C density of pools closely related to detrital input (e.g., dead wood) is often highest in forests suffering from recent mortality events such as those in the northern Rocky Mountains (e.g., beetle infestations). In contrast, live tree carbon density is often highest on the highest quality forest sites such as those found in the Pacific Northwest. Validation results suggest strong agreement between the estimates produced from the forest inventory plots and those from the imputed maps, particularly when the C pool is closely associated with the imputation model (e.g., aboveground live biomass and live tree basal area), with weaker agreement for detrital pools (e.g., standing dead trees). Forest inventory imputed plot maps provide an efficient and flexible approach to monitoring diverse C pools at national (e.g., UNFCCC) and regional scales (e.g., Reducing Emissions from Deforestation and Forest Degradation projects) while

Evaluation of the intelligent cruise control system. Volume 2, Appendices

DOT National Transportation Integrated Search

1999-10-01

The Intelligent Cruise Control (ICC) system evaluation was sponsored by the National Highway Traffic Safety Administration (NHTSA) and based on an ICC Field Operational Test (FOT) conducted under a cooperative agreement between the NHTSA and the Univ...

IQ and the values of nations.

PubMed

Kanazawa, Satoshi

2009-07-01

The origin of values and preferences is an unresolved theoretical question in behavioural and social sciences. The Savanna-IQ Interaction Hypothesis, derived from the Savanna Principle and a theory of the evolution of general intelligence, suggests that more intelligent individuals may be more likely to acquire and espouse evolutionarily novel values and preferences (such as liberalism and atheism and, for men, sexual exclusivity) than less intelligent individuals, but that general intelligence may have no effect on the acquisition and espousal of evolutionarily familiar values. Macro-level analyses show that nations with higher average intelligence are more liberal (have greater highest marginal individual tax rate and, as a result, lower income inequality), less religious (a smaller proportion of the population believes in God or considers themselves religious) and more monogamous. The average intelligence of a population appears to be the strongest predictor of its level of liberalism, atheism and monogamy.

Intelligence as it relates to conscious and unconscious memory influences.

PubMed

Joordens, Steve; Walsh, Darlene; Mantonakis, Antonia

2013-09-01

We examine the relationship between a measure of intelligence and estimates of conscious and unconscious memory influences derived using Jacoby's (Jacoby, L. L. [1991]. A process dissociation framework: Separating automatic from intentional uses of memory. Journal of Memory and Language, 30, 513-541.) process-dissociation procedure. We find a positive relationship between intelligence and conscious memory, and no relationship between intelligence and unconscious influences once the impact of conscious influences are removed (Experiment 1). We also find that when participants cannot engage in conscious strategies, such as when there is insufficient time for learning, the relationships observed in Experiment 1 are eliminated (Experiments 2A and 2B). Our results support the notion that individual differences in intelligence reflect differences in conscious strategic processes (Karis, D., Fabiani, M., & Donchin, E. [1984]. "P300" and memory: Individual differences in the von Restorff effect. Cognitive Psychology, 16, 177-216.) and not differences in mental speed (Eysenck, H. J. (1984). Intelligence versus behavior. The Behavioral and Brain Sciences, 7, 290-291; Jensen, A. R. [1982]. Bias in mental testing. New York, NY: Free Press). PsycINFO Database Record (c) 2013 APA, all rights reserved

State of Maryland Intelligent Transportation Systems: Security and Implementation Recommendations.

DOT National Transportation Integrated Search

1997-11-01

At the direction of the Volpe National Transportation Systems Center of the US Department of Transportation (US DOT), a two-phase study of the security vulnerability of Maryland Intelligent Transportation Systems (ITS) was conducted from July until N...

Estimating the Economic Value of National Parks with Count Data Models Using On-Site, Secondary Data: The Case of the Great Sand Dunes National Park and Preserve

NASA Astrophysics Data System (ADS)

Heberling, Matthew T.; Templeton, Joshua J.

2009-04-01

We estimate an individual travel cost model for Great Sand Dunes National Park and Preserve (GSD) in Colorado using on-site, secondary data. The purpose of the on-site survey was to help the National Park Service better understand the visitors of GSD; it was not intended for a travel cost model. Variables such as travel cost and income were estimated based on respondents’ Zip Codes. Following approaches found in the literature, a negative binomial model corrected for truncation and endogenous stratification fit the data the best. We estimate a recreational benefit of U.S. 89/visitor/year or U.S. 54/visitor/24-h recreational day (in 2002 U.S. ). Based on the approach presented here, there are other data sets for national parks, preserves, and battlefields where travel cost models could be estimated and used to support National Park Service management decisions.

CESAR research in intelligent machines

DOE Office of Scientific and Technical Information (OSTI.GOV)

Weisbin, C.R.

1986-01-01

The Center for Engineering Systems Advanced Research (CESAR) was established in 1983 as a national center for multidisciplinary, long-range research and development in machine intelligence and advanced control theory for energy-related applications. Intelligent machines of interest here are artificially created operational systems that are capable of autonomous decision making and action. The initial emphasis for research is remote operations, with specific application to dexterous manipulation in unstructured dangerous environments where explosives, toxic chemicals, or radioactivity may be present, or in other environments with significant risk such as coal mining or oceanographic missions. Potential benefits include reduced risk to man inmore » hazardous situations, machine replication of scarce expertise, minimization of human error due to fear or fatigue, and enhanced capability using high resolution sensors and powerful computers. A CESAR goal is to explore the interface between the advanced teleoperation capability of today, and the autonomous machines of the future.« less

Artificial Intelligence Project

DTIC Science & Technology

1990-01-01

Artifcial Intelligence Project at The University of Texas at Austin, University of Texas at Austin, Artificial Intelligence Laboratory AITR84-01. Novak...Texas at Austin, Artificial Intelligence Laboratory A187-52, April 1987. Novak, G. "GLISP: A Lisp-Based Programming System with Data Abstraction...of Texas at Austin, Artificial Intelligence Laboratory AITR85-14.) Rim, Hae-Chang, and Simmons, R. F. "Extracting Data Base Knowledge from Medical

Quantifying the intelligibility of speech in noise for non-native listeners.

PubMed

van Wijngaarden, Sander J; Steeneken, Herman J M; Houtgast, Tammo

2002-04-01

When listening to languages learned at a later age, speech intelligibility is generally lower than when listening to one's native language. The main purpose of this study is to quantify speech intelligibility in noise for specific populations of non-native listeners, only broadly addressing the underlying perceptual and linguistic processing. An easy method is sought to extend these quantitative findings to other listener populations. Dutch subjects listening to Germans and English speech, ranging from reasonable to excellent proficiency in these languages, were found to require a 1-7 dB better speech-to-noise ratio to obtain 50% sentence intelligibility than native listeners. Also, the psychometric function for sentence recognition in noise was found to be shallower for non-native than for native listeners (worst-case slope around the 50% point of 7.5%/dB, compared to 12.6%/dB for native listeners). Differences between native and non-native speech intelligibility are largely predicted by linguistic entropy estimates as derived from a letter guessing task. Less effective use of context effects (especially semantic redundancy) explains the reduced speech intelligibility for non-native listeners. While measuring speech intelligibility for many different populations of listeners (languages, linguistic experience) may be prohibitively time consuming, obtaining predictions of non-native intelligibility from linguistic entropy may help to extend the results of this study to other listener populations.

Quantifying the intelligibility of speech in noise for non-native listeners

NASA Astrophysics Data System (ADS)

van Wijngaarden, Sander J.; Steeneken, Herman J. M.; Houtgast, Tammo

2002-04-01

When listening to languages learned at a later age, speech intelligibility is generally lower than when listening to one's native language. The main purpose of this study is to quantify speech intelligibility in noise for specific populations of non-native listeners, only broadly addressing the underlying perceptual and linguistic processing. An easy method is sought to extend these quantitative findings to other listener populations. Dutch subjects listening to Germans and English speech, ranging from reasonable to excellent proficiency in these languages, were found to require a 1-7 dB better speech-to-noise ratio to obtain 50% sentence intelligibility than native listeners. Also, the psychometric function for sentence recognition in noise was found to be shallower for non-native than for native listeners (worst-case slope around the 50% point of 7.5%/dB, compared to 12.6%/dB for native listeners). Differences between native and non-native speech intelligibility are largely predicted by linguistic entropy estimates as derived from a letter guessing task. Less effective use of context effects (especially semantic redundancy) explains the reduced speech intelligibility for non-native listeners. While measuring speech intelligibility for many different populations of listeners (languages, linguistic experience) may be prohibitively time consuming, obtaining predictions of non-native intelligibility from linguistic entropy may help to extend the results of this study to other listener populations.

Multiple Intelligences, Educational Reform, and a Successful Career

ERIC Educational Resources Information Center

Wu, Wu-Tien

2004-01-01

This article addresses the meaning and application of multiple intelligences theory in Taiwan in the light of educational reform. Specifically, a 4-year joint research project (1999-2003) titled The Development of Multiple Talents (DMT), sponsored by the National Science Council, R.O.C. (Taiwan), will be introduced. A 3-dimensional construct is…

Are Life, Consciousness, and Intelligence Cosmic Phenomena?

NASA Astrophysics Data System (ADS)

Kostro, Ludwik

2013-09-01

First of all the scientific reasons of astrophysics, astronomy and modern astrobiology in favor of the existence of life, consciousness and intelligence in the Universe will be presented and estimated (e.g. the Nobel Laureate Christian de Duve's arguments). The part played in this kind of scientific debate by the Copernicus principle will be stressed from the scientific and philosophical point of view. Since there are also philosophers and theologians who argue in favor of the existence of life in the Universe, their arguments will be shortly presented and estimated as well.

The Evolution of Human Intelligence and the Coefficient of Additive Genetic Variance in Human Brain Size

ERIC Educational Resources Information Center

Miller, Geoffrey F.; Penke, Lars

2007-01-01

Most theories of human mental evolution assume that selection favored higher intelligence and larger brains, which should have reduced genetic variance in both. However, adult human intelligence remains highly heritable, and is genetically correlated with brain size. This conflict might be resolved by estimating the coefficient of additive genetic…

Cochlea-scaled spectral entropy predicts rate-invariant intelligibility of temporally distorted sentences.

PubMed

Stilp, Christian E; Kiefte, Michael; Alexander, Joshua M; Kluender, Keith R

2010-10-01

Some evidence, mostly drawn from experiments using only a single moderate rate of speech, suggests that low-frequency amplitude modulations may be particularly important for intelligibility. Here, two experiments investigated intelligibility of temporally distorted sentences across a wide range of simulated speaking rates, and two metrics were used to predict results. Sentence intelligibility was assessed when successive segments of fixed duration were temporally reversed (exp. 1), and when sentences were processed through four third-octave-band filters, the outputs of which were desynchronized (exp. 2). For both experiments, intelligibility decreased with increasing distortion. However, in exp. 2, intelligibility recovered modestly with longer desynchronization. Across conditions, performances measured as a function of proportion of utterance distorted converged to a common function. Estimates of intelligibility derived from modulation transfer functions predict a substantial proportion of the variance in listeners' responses in exp. 1, but fail to predict performance in exp. 2. By contrast, a metric of potential information, quantified as relative dissimilarity (change) between successive cochlear-scaled spectra, is introduced. This metric reliably predicts listeners' intelligibility across the full range of speaking rates in both experiments. Results support an information-theoretic approach to speech perception and the significance of spectral change rather than physical units of time.

Assessing the safety effects of cooperative intelligent transport systems: A bowtie analysis approach.

PubMed

Ehlers, Ute Christine; Ryeng, Eirin Olaussen; McCormack, Edward; Khan, Faisal; Ehlers, Sören

2017-02-01

The safety effects of cooperative intelligent transport systems (C-ITS) are mostly unknown and associated with uncertainties, because these systems represent emerging technology. This study proposes a bowtie analysis as a conceptual framework for evaluating the safety effect of cooperative intelligent transport systems. These seek to prevent road traffic accidents or mitigate their consequences. Under the assumption of the potential occurrence of a particular single vehicle accident, three case studies demonstrate the application of the bowtie analysis approach in road traffic safety. The approach utilizes exemplary expert estimates and knowledge from literature on the probability of the occurrence of accident risk factors and of the success of safety measures. Fuzzy set theory is applied to handle uncertainty in expert knowledge. Based on this approach, a useful tool is developed to estimate the effects of safety-related cooperative intelligent transport systems in terms of the expected change in accident occurrence and consequence probability. Copyright © 2016 Elsevier Ltd. All rights reserved.

Contributions of national and global health estimates to monitoring health-related Sustainable Development Goals in Thailand.

PubMed

Bundhamcharoen, Kanitta; Limwattananon, Supon; Kusreesakul, Khanitta; Tangcharoensathien, Viroj

2017-01-01

The Millennium Development Goals (MDGs) triggered increased demand for data on child and maternal mortality for monitoring progress. With the advent of the Sustainable Development Goals (SDGs) and growing evidence of an epidemiological transition towards non-communicable diseases, policy makers need data on mortality and disease trends and distribution to inform effective policies and support monitoring progress. Where there are limited capacities to produce national health estimates (NHEs), global health estimates (GHEs) can fill gaps for global monitoring and comparisons. This paper draws lessons learned from Thailand's burden of disease study (BOD) on capacity development for NHEs, and discusses the contributions and limitation of GHEs in informing policies at country level. Through training and technical support by external partners, capacities are gradually strengthened and institutionalized to enable regular updates of BOD at national and sub-national levels. Initially, the quality of cause of death reporting in the death certificates was inadequate, especially for deaths occurring in the community. Verbal autopsies were conducted, using domestic resources, to determine probable causes of deaths occurring in the community. This helped improve the estimation of years of life lost. Since the achievement of universal health coverage in 2002, the quality of clinical data on morbidities has also considerably improved. There are significant discrepancies between the 2010 Global Burden of Diseases (GBD) estimates for Thailand and the 1999 nationally generated BOD, especially for years of life lost due to HIV/AIDS, and the ranking of priority diseases. National ownership of NHEs and effective interfaces between researchers and decision makers contribute to enhanced country policy responses, while sub-national data are intended to be used by various sub-national-level partners. Though GHEs contribute to benchmarking country achievement compared with global health

Quantifying the Model-Related Variability of Biomass Stock and Change Estimates in the Norwegian National Forest Inventory

Treesearch

Johannes Breidenbach; Clara Antón-Fernández; Hans Petersson; Ronald E. McRoberts; Rasmus Astrup

2014-01-01

National Forest Inventories (NFIs) provide estimates of forest parameters for national and regional scales. Many key variables of interest, such as biomass and timber volume, cannot be measured directly in the field. Instead, models are used to predict those variables from measurements of other field variables. Therefore, the uncertainty or variability of NFI estimates...

Tracking Psychosocial Health in Adults with Epilepsy—Estimates from the 2010 National Health Interview Survey

PubMed Central

Kobau, R; Cui, W; Kadima, N; Zack, MM; Sajatovic, M; Kaiboriboon, K; Jobst, B

2015-01-01

Objective This study provides population-based estimates of psychosocial health among U.S. adults with epilepsy from the 2010 National Health Interview Survey. Methods Multinomial logistic regression was used to estimate the prevalence of the following measures of psychosocial health among adults with and those without epilepsy: 1) the Kessler-6 scale of Serious Psychological Distress; 2) cognitive limitation; the extent of impairments associated with psychological problems; and work limitation; 3) Social participation; and 4) the Patient Reported Outcome Measurement Information System Global Health scale. Results Compared with adults without epilepsy, adults with epilepsy, especially those with active epilepsy, reported significantly worse psychological health, more cognitive impairment, difficulty in participating in some social activities, and reduced health-related quality of life (HRQOL). Conclusions These disparities in psychosocial health in U.S. adults with epilepsy serve as baseline national estimates of their HRQOL, consistent with Healthy People 2020 national objectives on HRQOL. PMID:25305435

The intelligence community and the war on terror: the role of behavioral science.

PubMed

Busch, Kenneth G; Weissman, Sidney H

2005-01-01

The United States intelligence community has been under intense scrutiny from both inside and outside in the aftermath of September 11. Post mortem assessments of intelligence breakdowns may judge the events as more predictable than was in fact the actual reality. In a troubled world, when threats to national security can materialize very quickly, the intelligence community must be able to effectively and swiftly develop and implement plans to prevent further terrorist attacks on the homeland. Numerous scenarios need to be considered for the management of crisis situations. Intelligence actions must make it more difficult for terrorists to strike at their targets. The war on terror must confront a new generation of enemies who threaten to attack the United States with weapons of mass destruction. This essay will focus on the role of behavioral science and how related reforms within the intelligence community could improve its capability to respond to a huge challenge.

A Comparison of Linking Methods for Estimating National Trends in International Comparative Large-Scale Assessments in the Presence of Cross-national DIF

ERIC Educational Resources Information Center

Sachse, Karoline A.; Roppelt, Alexander; Haag, Nicole

2016-01-01

Trend estimation in international comparative large-scale assessments relies on measurement invariance between countries. However, cross-national differential item functioning (DIF) has been repeatedly documented. We ran a simulation study using national item parameters, which required trends to be computed separately for each country, to compare…

Why is intelligence associated with stability of happiness?

PubMed

Kanazawa, Satoshi

2014-08-01

In the National Child Development Study, life-course variability in happiness over 18 years was significantly negatively associated with its mean level (happier individuals were more stable in their happiness, and it was not due to the ceiling effect), as well as childhood general intelligence and all Big Five personality factors (except for Agreeableness). In a multiple regression analysis, childhood general intelligence was the strongest predictor of life-course variability in life satisfaction, stronger than all Big Five personality factors, including Emotional stability. More intelligent individuals were significantly more stable in their happiness, and it was not entirely because: (1) they were more educated and wealthier (even though they were); (2) they were healthier (even though they were); (3) they were more stable in their marital status (even though they were); (4) they were happier (even though they were); (5) they were better able to assess their own happiness accurately (even though they were); or (6) they were better able to recall their previous responses more accurately or they were more honest in their survey responses (even though they were both). While I could exclude all of these alternative explanations, it ultimately remained unclear why more intelligent individuals were more stable in their happiness. © 2013 The British Psychological Society.

Do Sex Differences in a Faceted Model of Fluid and Crystallized Intelligence Depend on the Method Applied?

ERIC Educational Resources Information Center

Steinmayr, Ricarda; Beauducel, Andre; Spinath, Birgit

2010-01-01

Recently, different methodological approaches have been discussed as an explanation for inconsistencies in studies investigating sex differences in different intelligences. The present study investigates sex differences in manifest sum scores, factor score estimates, and latent verbal, numerical, figural intelligence, as well as fluid and…

Assortative Mating for Emotional Intelligence.

PubMed

Śmieja, Magdalena; Stolarski, Maciej

2018-01-01

Assortative mating has been studied on a broad range of variables, including intelligence and personality traits. In the present study we analysed the effect of assortative mating for ability emotional intelligence (EI) on a sample of heterosexual couples ( N  = 382), including dating and married couples. Correlation analyses revealed moderate similarity of Pearson's r  = .27 for general EI score, and was slightly weaker (from .18 to .23) for branch scores. Regression analyses showed that the Perception branch was the strongest single predictor of a partner's general EI score, both in males and females. Continuous parameter estimation (CPEM) revealed that the magnitude of the correlation does not increase with age, thus it is highly possible that the obtained similarity reflects initial assortment (i.e., similarity at the starting point of the relationship), rather than convergence (i.e., increasing similarity with time). It seems that EI is a significant factor influencing mate assortment processes.

Intelligence: Genetic and Environmental Influences.

ERIC Educational Resources Information Center

Cancro, Robert, Ed.

This book on the genetic and environmental influences on intelligence is comprised of the following papers: "The Structure of Intelligence in Relation to the Nature-Nurture Controversy," R. B. Cattell; "Theory of Intelligence," L. G. Humphreys; "Using Measured Intelligence Intelligently," P. R. Merrifield; "Intelligence: Definition, Theory, and…

Controls and Health Management Technologies for Intelligent Aerospace Propulsion Systems

NASA Technical Reports Server (NTRS)

Garg, Sanjay

2004-01-01

With the increased emphasis on aircraft safety, enhanced performance and affordability, and the need to reduce the environmental impact of aircraft, there are many new challenges being faced by the designers of aircraft propulsion systems. The Controls and Dynamics Technology Branch at NASA (National Aeronautics and Space Administration) Glenn Research Center (GRC) in Cleveland, Ohio, is leading and participating in various projects in partnership with other organizations within GRC and across NASA, the U.S. aerospace industry, and academia to develop advanced controls and health management technologies that will help meet these challenges through the concept of an Intelligent Engine. The key enabling technologies for an Intelligent Engine are the increased efficiencies of components through active control, advanced diagnostics and prognostics integrated with intelligent engine control to enhance component life, and distributed control with smart sensors and actuators in an adaptive fault tolerant architecture. This paper describes the current activities of the Controls and Dynamics Technology Branch in the areas of active component control and propulsion system intelligent control, and presents some recent analytical and experimental results in these areas.

[Intelligence level and intelligence structure of children with primary nocturnal enuresis].

PubMed

Dai, Xiao-Mei; Ma, Hong-Wei; Pan, Xue-Xia

2007-10-01

Some research has shown that there may be memory/caution (M/C) defects in children with primary nocturnal enuresis (PNE). This study aimed to investigate whether the defects affect the intelligence level and the intelligence structure in PNE children. Intelligence tests were performed by means of Wechsler Young Children Scales of Intelligence (C-WISC) in 40 children with PNE and 40 age-matched normal children. The full intelligence quotient (FIQ), verbal IQ (VIQ) and performances IQ (PIQ) in the PNE group were in a normal range and did not different from the control group. There were significant differences in the scores for digit extent, decipher, knowledge and arithmetics between the PNE and the control groups (P < 0.05). M/C factor in the PNE group was statistically lower than in the control group (93.44 +/-11.27 vs 100.03 +/-11.79; P < 0.05). The total intelligence level of children with PNE was normal, but the M/C factor in the intelligence structure had some defects, suggesting that PNE may be related to the abnormity of executive function in the frontal lobe.

Intelligence: Real or artificial?

PubMed Central

Schlinger, Henry D.

1992-01-01

Throughout the history of the artificial intelligence movement, researchers have strived to create computers that could simulate general human intelligence. This paper argues that workers in artificial intelligence have failed to achieve this goal because they adopted the wrong model of human behavior and intelligence, namely a cognitive essentialist model with origins in the traditional philosophies of natural intelligence. An analysis of the word “intelligence” suggests that it originally referred to behavior-environment relations and not to inferred internal structures and processes. It is concluded that if workers in artificial intelligence are to succeed in their general goal, then they must design machines that are adaptive, that is, that can learn. Thus, artificial intelligence researchers must discard their essentialist model of natural intelligence and adopt a selectionist model instead. Such a strategic change should lead them to the science of behavior analysis. PMID:22477051

International Intelligence Forum 2002

DTIC Science & Technology

2002-01-01

International Intelligence Forum 2002 PCN 46737 Report Documentation Page Form ApprovedOMB No. 0704-0188 Public reporting burden for the collection...Intelligence Forum 2002 5a. CONTRACT NUMBER 5b. GRANT NUMBER 5c. PROGRAM ELEMENT NUMBER 6. AUTHOR(S) 5d. PROJECT NUMBER 5e. TASK NUMBER 5f...Std Z39-18 INTERNATIONAL INTELLIGENCE FORUM -3 The Joint Military Intelligence College created the International Intelligence Fellows Program

Child mortality estimation 2013: an overview of updates in estimation methods by the United Nations Inter-agency Group for Child Mortality Estimation.

PubMed

Alkema, Leontine; New, Jin Rou; Pedersen, Jon; You, Danzhen

2014-01-01

In September 2013, the United Nations Inter-agency Group for Child Mortality Estimation (UN IGME) published an update of the estimates of the under-five mortality rate (U5MR) and under-five deaths for all countries. Compared to the UN IGME estimates published in 2012, updated data inputs and a new method for estimating the U5MR were used. We summarize the new U5MR estimation method, which is a Bayesian B-spline Bias-reduction model, and highlight differences with the previously used method. Differences in UN IGME U5MR estimates as published in 2012 and those published in 2013 are presented and decomposed into differences due to the updated database and differences due to the new estimation method to explain and motivate changes in estimates. Compared to the previously used method, the new UN IGME estimation method is based on a different trend fitting method that can track (recent) changes in U5MR more closely. The new method provides U5MR estimates that account for data quality issues. Resulting differences in U5MR point estimates between the UN IGME 2012 and 2013 publications are small for the majority of countries but greater than 10 deaths per 1,000 live births for 33 countries in 2011 and 19 countries in 1990. These differences can be explained by the updated database used, the curve fitting method as well as accounting for data quality issues. Changes in the number of deaths were less than 10% on the global level and for the majority of MDG regions. The 2013 UN IGME estimates provide the most recent assessment of levels and trends in U5MR based on all available data and an improved estimation method that allows for closer-to-real-time monitoring of changes in the U5MR and takes account of data quality issues.

Investigation of speed estimation using single loop detectors.

DOT National Transportation Integrated Search

2008-05-15

The ability to collect or estimate accurate speed information is of great importance to a large number of : Intelligent Transportation Systems (ITS) applications. Estimating speeds from the widely used single : inductive loop sensor has been a diffic...

Intelligent Transportation Systems : a summary of progress and results, November 2008.

DOT National Transportation Integrated Search

2008-11-01

The Federal Intelligent Transportation Systems (ITS) Program began in response to a directive from Congress to employ advanced technologies in transportation in order to keep the transportation industry in lockstep with the nations move toward use...

Artificial intelligence in a mission operations and satellite test environment

NASA Technical Reports Server (NTRS)

Busse, Carl

1988-01-01

A Generic Mission Operations System using Expert System technology to demonstrate the potential of Artificial Intelligence (AI) automated monitor and control functions in a Mission Operations and Satellite Test environment will be developed at the National Aeronautics and Space Administration (NASA) Jet Propulsion Laboratory (JPL). Expert system techniques in a real time operation environment are being studied and applied to science and engineering data processing. Advanced decommutation schemes and intelligent display technology will be examined to develop imaginative improvements in rapid interpretation and distribution of information. The Generic Payload Operations Control Center (GPOCC) will demonstrate improved data handling accuracy, flexibility, and responsiveness in a complex mission environment. The ultimate goal is to automate repetitious mission operations, instrument, and satellite test functions by the applications of expert system technology and artificial intelligence resources and to enhance the level of man-machine sophistication.

NATIONAL- AND STATE-LEVEL EMISSIONS ESTIMATES OF RADIATIVELY IMPORTANT TRACE GASES (RITGS) FROM ANTHROPOGENIC SOURCES

EPA Science Inventory

The report documents the development of national- and state- level emissions estimates of radiatively important trace gases (RlTGs). Emissions estimates are presented for the principal anthropogenic sources of carbon dioxide (CO2), methane (CH4), chlorofluorocarbons (CFCs), and o...

Subjective Evaluations of Intelligence and Academic Self-Concept Predict Academic Achievement: Evidence from a Selective Student Population

ERIC Educational Resources Information Center

Kornilova, Tatiana V.; Kornilov, Sergey A.; Chumakova, Maria A.

2009-01-01

The study examined the relationship between implicit theories, goal orientations, subjective and test estimates of intelligence, academic self-concept, and achievement in a selective student population (N=300). There was no direct impact of implicit theories of intelligence and goal orientations on achievement. However, subjective evaluations of…

The financial burden of emergency general surgery: National estimates 2010 to 2060.

PubMed

Ogola, Gerald O; Gale, Stephen C; Haider, Adil; Shafi, Shahid

2015-09-01

Adoption of the acute care surgery model has led to increasing volumes of emergency general surgery (EGS) patients at trauma centers. However, the financial burden of EGS services on trauma centers is unknown. This study estimates the current and future costs associated with EGS hospitalization nationwide. We applied the American Association for the Surgery of Trauma's DRG International Classification of Diseases-9th Rev. criteria for defining EGS to the 2010 National Inpatient Sample (NIS) data and identified adult EGS patients. Cost of hospitalization was obtained by converting reported charges to cost using the 2010 all-payer inpatient cost-to-charge ratio for all hospitals in the NIS database. Cost was modeled via a log-gamma model in a generalized linear mixed model to account for potential correlation in cost within states and hospitals in the NIS database. Patients' characteristics and hospital factors were included in the model as fixed effects, while state and hospital were included as random effects. The national incidence of EGS was calculated from NIS data, and the US Census Bureau population projections were used to estimate incidence for 2010 to 2060. Nationwide costs were obtained by multiplying projected incidences by estimated costs and reported in year 2010 US dollar value. Nationwide, there were 2,640,725 adult EGS hospitalizations in 2010. The national average adjusted cost per EGS hospitalization was $10,744 (95% confidence interval [CI], $10,615-$10,874); applying these cost data to the national EGS hospitalizations gave a total estimated cost of $28.37 billion (95% CI, $28.03-$28.72 billion). Older age groups accounted for greater proportions of the cost ($8.03 billion for age ≥ 75 years, compared with $1.08 billion for age 18-24 years). As the US population continues to both grow and age, EGS costs are projected to increase by 45% to $41.20 billion (95% CI, $40.70-$41.7 billion) by 2060. EGS constitutes a significant portion of US health

Harmonizing estimates of forest land area from national-level forest inventory and satellite imagery

Treesearch

Bonnie Ruefenacht; Mark D. Nelson; Mark Finco

2009-01-01

Estimates of forest land area are derived both from national-level forest inventories and satellite image-based map products. These estimates can differ substantially within subregional extents (e.g., states or provinces) primarily due to differences in definitions of forest land between inventory- and image-based approaches. We present a geospatial modeling approach...

Achieving Intelligence Proliferation: Policies and Programs for Leveraging Intelligence Support to State, Local and Tribal Law Enforcement

DTIC Science & Technology

2008-12-01

by the attacks of 9-11. Terrorism cuts across all levels of society through loss of life , economic chaos and inhibiting freedoms. The horrific loss of... life cannot be minimized or discounted, but the damage goes further and its effects are enduring. Estimates of the future economic impact of...PROLIFERATION: POLICIES AND PROGRAMS FOR LEVERAGING INTELLIGENCE SUPORT TO STATE, LOCAL AND TRIBAL LAW ENFORCEMENT James A. Dahl Captain, United

National suicide rates a century after Durkheim: do we know enough to estimate error?

PubMed

Claassen, Cynthia A; Yip, Paul S; Corcoran, Paul; Bossarte, Robert M; Lawrence, Bruce A; Currier, Glenn W

2010-06-01

Durkheim's nineteenth-century analysis of national suicide rates dismissed prior concerns about mortality data fidelity. Over the intervening century, however, evidence documenting various types of error in suicide data has only mounted, and surprising levels of such error continue to be routinely uncovered. Yet the annual suicide rate remains the most widely used population-level suicide metric today. After reviewing the unique sources of bias incurred during stages of suicide data collection and concatenation, we propose a model designed to uniformly estimate error in future studies. A standardized method of error estimation uniformly applied to mortality data could produce data capable of promoting high quality analyses of cross-national research questions.

A Pilot Sampling Design for Estimating Outdoor Recreation Site Visits on the National Forests

Treesearch

Stanley J. Zarnoch; S.M. Kocis; H. Ken Cordell; D.B.K. English

2002-01-01

A pilot sampling design is described for estimating site visits to National Forest System lands. The three-stage sampling design consisted of national forest ranger districts, site days within ranger districts, and last-exiting recreation visitors within site days. Stratification was used at both the primary and secondary stages. Ranger districts were stratified based...

The Leuven Embedded Figures Test (L-EFT): measuring perception, intelligence or executive function?

PubMed Central

Van der Hallen, Ruth; Wagemans, Johan; de-Wit, Lee; Chamberlain, Rebecca

2018-01-01

Performance on the Embedded Figures Test (EFT) has been interpreted as a reflection of local/global perceptual style, weak central coherence and/or field independence, as well as a measure of intelligence and executive function. The variable ways in which EFT findings have been interpreted demonstrate that the construct validity of this measure is unclear. In order to address this lack of clarity, we investigated to what extent performance on a new Embedded Figures Test (L-EFT) correlated with measures of intelligence, executive functions and estimates of local/global perceptual styles. In addition, we compared L-EFT performance to the original group EFT to directly contrast both tasks. Taken together, our results indicate that performance on the L-EFT does not correlate strongly with estimates of local/global perceptual style, intelligence or executive functions. Additionally, the results show that performance on the L-EFT is similarly associated with memory span and fluid intelligence as the group EFT. These results suggest that the L-EFT does not reflect a general perceptual or cognitive style/ability. These results further emphasize that empirical data on the construct validity of a task do not always align with the face validity of a task. PMID:29607257

Orchestrating Multiple Intelligences

ERIC Educational Resources Information Center

Moran, Seana; Kornhaber, Mindy; Gardner, Howard

2006-01-01

Education policymakers often go astray when they attempt to integrate multiple intelligences theory into schools, according to the originator of the theory, Howard Gardner, and his colleagues. The greatest potential of a multiple intelligences approach to education grows from the concept of a profile of intelligences. Each learner's intelligence…

The maximum intelligible range of the human voice

NASA Astrophysics Data System (ADS)

Boren, Braxton

This dissertation examines the acoustics of the spoken voice at high levels and the maximum number of people that could hear such a voice unamplified in the open air. In particular, it examines an early auditory experiment by Benjamin Franklin which sought to determine the maximum intelligible crowd for the Anglican preacher George Whitefield in the eighteenth century. Using Franklin's description of the experiment and a noise source on Front Street, the geometry and diffraction effects of such a noise source are examined to more precisely pinpoint Franklin's position when Whitefield's voice ceased to be intelligible. Based on historical maps, drawings, and prints, the geometry and material of Market Street is constructed as a computer model which is then used to construct an acoustic cone tracing model. Based on minimal values of the Speech Transmission Index (STI) at Franklin's position, Whitefield's on-axis Sound Pressure Level (SPL) at 1 m is determined, leading to estimates centering around 90 dBA. Recordings are carried out on trained actors and singers to determine their maximum time-averaged SPL at 1 m. This suggests that the greatest average SPL achievable by the human voice is 90-91 dBA, similar to the median estimates for Whitefield's voice. The sites of Whitefield's largest crowds are acoustically modeled based on historical evidence and maps. Based on Whitefield's SPL, the minimal STI value, and the crowd's background noise, this allows a prediction of the minimally intelligible area for each site. These yield maximum crowd estimates of 50,000 under ideal conditions, while crowds of 20,000 to 30,000 seem more reasonable when the crowd was reasonably quiet and Whitefield's voice was near 90 dBA.

In-Q-Tel, the strategic investment firm for the U.S. Intelligence Community

NASA Astrophysics Data System (ADS)

Ulvick, S. J.; Tighe, D. W.

2008-04-01

In-Q-Tel is a strategic investment firm that works to identify, adapt, and deliver innovative technology solutions to support the missions of the Central Intelligence Agency and the broader U.S. Intelligence Community (IC). Launched by the CIA in 1999 as a private, independent, not-for-profit organization, IQT's mission is to identify and partner with companies developing cutting-edge technologies that serve the national security interests of the United States. Working from an evolving strategic blueprint defining the Intelligence Community's critical technology needs, IQT engages with entrepreneurs, growth companies, researchers, and venture capitalists to deliver technologies that provide superior capabilities for the CIA and the broader IC. To date, IQT has reviewed more than 6,300 business proposals, invested in more than 100 companies, and delivered more than 140 technology solutions to the U.S. Intelligence Community.

An algorithm that improves speech intelligibility in noise for normal-hearing listeners.

PubMed

Kim, Gibak; Lu, Yang; Hu, Yi; Loizou, Philipos C

2009-09-01

Traditional noise-suppression algorithms have been shown to improve speech quality, but not speech intelligibility. Motivated by prior intelligibility studies of speech synthesized using the ideal binary mask, an algorithm is proposed that decomposes the input signal into time-frequency (T-F) units and makes binary decisions, based on a Bayesian classifier, as to whether each T-F unit is dominated by the target or the masker. Speech corrupted at low signal-to-noise ratio (SNR) levels (-5 and 0 dB) using different types of maskers is synthesized by this algorithm and presented to normal-hearing listeners for identification. Results indicated substantial improvements in intelligibility (over 60% points in -5 dB babble) over that attained by human listeners with unprocessed stimuli. The findings from this study suggest that algorithms that can estimate reliably the SNR in each T-F unit can improve speech intelligibility.

Estimated Full Scale IQ in an Adult Heroin Addict Population.

ERIC Educational Resources Information Center

Chastain, Robert L.; And Others

The research concerning intellectual functioning in addict populations has not addressed basic questions concerning why and how intelligence quotients (IQ) might be related to drug addiction. A study was undertaken to estimate intellectual functioning based upon a demographic profile for Wechsler Adult Intelligence Scale-Revised (WAIS-R) Full…

Generalized Trust and Intelligence in the United States

PubMed Central

Carl, Noah; Billari, Francesco C.

2014-01-01

Generalized trust refers to trust in other members of society; it may be distinguished from particularized trust, which corresponds to trust in the family and close friends. An extensive empirical literature has established that generalized trust is an important aspect of civic culture. It has been linked to a variety of positive outcomes at the individual level, such as entrepreneurship, volunteering, self-rated health, and happiness. However, two recent studies have found that it is highly correlated with intelligence, which raises the possibility that the other relationships in which it has been implicated may be spurious. Here we replicate the association between intelligence and generalized trust in a large, nationally representative sample of U.S. adults. We also show that, after adjusting for intelligence, generalized trust continues to be strongly associated with both self-rated health and happiness. In the context of substantial variation across countries, these results bolster the view that generalized trust is a valuable social resource, not only for the individual but for the wider society as well. PMID:24619035

Generalized trust and intelligence in the United States.

PubMed

Carl, Noah; Billari, Francesco C

2014-01-01

Generalized trust refers to trust in other members of society; it may be distinguished from particularized trust, which corresponds to trust in the family and close friends. An extensive empirical literature has established that generalized trust is an important aspect of civic culture. It has been linked to a variety of positive outcomes at the individual level, such as entrepreneurship, volunteering, self-rated health, and happiness. However, two recent studies have found that it is highly correlated with intelligence, which raises the possibility that the other relationships in which it has been implicated may be spurious. Here we replicate the association between intelligence and generalized trust in a large, nationally representative sample of U.S. adults. We also show that, after adjusting for intelligence, generalized trust continues to be strongly associated with both self-rated health and happiness. In the context of substantial variation across countries, these results bolster the view that generalized trust is a valuable social resource, not only for the individual but for the wider society as well.

Augmented reality enabling intelligence exploitation at the edge

NASA Astrophysics Data System (ADS)

Kase, Sue E.; Roy, Heather; Bowman, Elizabeth K.; Patton, Debra

2015-05-01

Today's Warfighters need to make quick decisions while interacting in densely populated environments comprised of friendly, hostile, and neutral host nation locals. However, there is a gap in the real-time processing of big data streams for edge intelligence. We introduce a big data processing pipeline called ARTEA that ingests, monitors, and performs a variety of analytics including noise reduction, pattern identification, and trend and event detection in the context of an area of operations (AOR). Results of the analytics are presented to the Soldier via an augmented reality (AR) device Google Glass (Glass). Non-intrusive AR devices such as Glass can visually communicate contextually relevant alerts to the Soldier based on the current mission objectives, time, location, and observed or sensed activities. This real-time processing and AR presentation approach to knowledge discovery flattens the intelligence hierarchy enabling the edge Soldier to act as a vital and active participant in the analysis process. We report preliminary observations testing ARTEA and Glass in a document exploitation and person of interest scenario simulating edge Soldier participation in the intelligence process in disconnected deployment conditions.

National Space Council Meeting

NASA Image and Video Library

2017-10-05

Acting NASA Administrator Robert Lightfoot, center, along with Deputy Chief Technology Officer of the United States Michael Kratsios, left, and Director of National Intelligence Daniel Coats, right, listen to remarks by panelists during the National Space Council's first meeting, Thursday, Oct. 5, 2017 at the Smithsonian National Air and Space Museum's Steven F. Udvar-Hazy Center in Chantilly, Va. The National Space Council, chaired by Vice President Mike Pence heard testimony from representatives from civil space, commercial space, and national security space industry representatives. Photo Credit: (NASA/Joel Kowsky)

One Intelligence Indivisible.

ERIC Educational Resources Information Center

Kamii, Constance

In this paper it is shown that one's conception of intelligence and its development profoundly affects the formulation of educational objectives. A mechanistic conception of intelligence leads to the definition of objectives as a collection of fragmented "cognitive skills" that have little to do with children's development of intelligence. A…

Bilateral hearing loss is associated with decreased nonverbal intelligence in US children aged 6 to 16 years.

PubMed

Emmett, Susan D; Francis, Howard W

2014-09-01

To evaluate the association between hearing loss and nonverbal intelligence in US children. The Third National Health and Nutrition Examination Survey (NHANES III) is a cross-sectional survey (1988-1994) that used complex multistage sampling design to produce nationally representative demographic and examination data. A total of 4,823 children ages 6 to 16 years completed audiometric evaluation and cognitive testing during NHANES III. Hearing loss was defined as low-frequency pure-tone average (PTA) >25 dB (0.5, 1, 2 kHz) or high-frequency PTA >25 dB (3, 4, 6, 8 kHz) and was designated as unilateral or bilateral. Nonverbal intelligence was measured using the Wechsler Intelligence Scale for Children-Revised block design subtest. Low nonverbal intelligence was defined as a standardized score <4, two standard deviations below the standardized mean of 10. Mean nonverbal intelligence scores differed between children with normal hearing (9.59) and children with bilateral (6.87; P = .02) but not unilateral (9.12; P = .42) hearing loss. Non-Hispanic black race/ethnicity and family income <$20,000 were associated with 3.92 and 1.67 times higher odds of low nonverbal intelligence, respectively (odds ratio [OR]: 3.92; P < .001; OR: 1.67; P = .02). Bilateral hearing loss was independently associated with 5.77 times increased odds of low nonverbal intelligence compared to normal hearing children (OR: 5.77; P = .02). Unilateral hearing loss was not associated with higher odds of low nonverbal intelligence (OR: 0.73; P = .40). Bilateral but not unilateral hearing loss is associated with decreased nonverbal intelligence in US children. Longitudinal studies are urgently needed to better understand these associations and their potential impact on future opportunities. © 2014 The American Laryngological, Rhinological and Otological Society, Inc.

Bilateral Hearing Loss is Associated with Decreased Nonverbal Intelligence in US Children Ages 6 to 16 Years

PubMed Central

Emmett, Susan D.; Francis, Howard W.

2017-01-01

Objectives To evaluate the association between hearing loss and nonverbal intelligence in US children. Study Design The Third National Health and Nutrition Examination Survey (NHANES III) is a cross-sectional survey (1988–1994) that used complex multistage sampling design to produce nationally representative demographic and examination data. Methods A total of 4823 children ages 6–16 years completed audiometric evaluation and cognitive testing during NHANES III. Hearing loss was defined as low frequency pure tone average (PTA)>25 decibels (dB) (0.5,1,2 kHz) or high frequency PTA>25dB (3,4,6,8 kHz) and was designated as unilateral or bilateral. Nonverbal intelligence was measured using the Wechsler Intelligence Scale for Children-Revised block design subtest. Low nonverbal intelligence was defined as a standardized score <4, two standard deviations below the standardized mean of 10. Results Mean nonverbal intelligence scores differed between children with normal hearing (9.59) and children with bilateral (6.87; p=0.02) but not unilateral (9.12; p=0.42) hearing loss. Non-Hispanic black race/ethnicity and family income<$20,000 were associated with 3.92 and 1.67 times higher odds of low nonverbal intelligence, respectively (OR 3.92; p<0.001; OR 1.67; p=0.02). Bilateral hearing loss was independently associated with 5.77 times increased odds of low nonverbal intelligence compared to normal hearing children (OR 5.77; p=0.02). Unilateral hearing loss was not associated with higher odds of low nonverbal intelligence (OR 0.73; p=0.40). Conclusion Bilateral but not unilateral hearing loss is associated with decreased nonverbal intelligence in US children. Longitudinal studies are urgently needed to better understand these associations and their potential impact on future opportunities. PMID:24913183

Importance of Emotional Intelligence in Conceptualizing Collegial Leadership in Education

ERIC Educational Resources Information Center

Singh, Prakash; Manser, Peter; Mestry, Raj

2007-01-01

We focus on the importance of emotional intelligence (EI) in conceptualizing collegial leadership in education. Research findings, both nationally and internationally, strongly suggest that a technocratic (managerial) approach to leadership is in conflict with the visionary, people-centred approach of modern organisations, including educational…

Contributions of national and global health estimates to monitoring health-related sustainable development goals.

PubMed

Bundhamcharoen, Kanitta; Limwattananon, Supon; Kusreesakul, Khanitta; Tangcharoensathien, Viroj

2016-01-01

The millennium development goals triggered an increased demand for data on child and maternal mortalities for monitoring progress. With the advent of the sustainable development goals and growing evidence of an epidemiological transition toward non-communicable diseases, policymakers need data on mortality and disease trends and distribution to inform effective policies and support monitoring progress. Where there are limited capacities to produce national health estimates (NHEs), global health estimates (GHEs) can fill gaps for global monitoring and comparisons. This paper discusses lessons learned from Thailand's burden of disease (BOD) study on capacity development on NHEs and discusses the contributions and limitations of GHEs in informing policies at the country level. Through training and technical support by external partners, capacities are gradually strengthened and institutionalized to enable regular updates of BOD at national and subnational levels. Initially, the quality of cause-of-death reporting in death certificates was inadequate, especially for deaths occurring in the community. Verbal autopsies were conducted, using domestic resources, to determine probable causes of deaths occurring in the community. This method helped to improve the estimation of years of life lost. Since the achievement of universal health coverage in 2002, the quality of clinical data on morbidities has also considerably improved. There are significant discrepancies between the Global Burden of Disease 2010 study estimates for Thailand and the 1999 nationally generated BOD, especially for years of life lost due to HIV/AIDS, and the ranking of priority diseases. National ownership of NHEs and an effective interface between researchers and decision-makers contribute to enhanced country policy responses, whereas subnational data are intended to be used by various subnational partners. Although GHEs contribute to benchmarking country achievement compared with global health

Validity of Random Short Forms: III. Wechsler's Intelligence Scales.

ERIC Educational Resources Information Center

Silverstein, A. B.

1983-01-01

Formulas for estimating the validity of random short forms were applied to the standardization data for the Wechsler Adult Intelligence Scale-Revised, the Minnesota Multiphasic Personality Inventory, and the Marlowe-Crowne Social Desirability Scale. These formulas demonstrated how much "better than random" the best short forms of these…

Some estimates of growth and mortality from the Malheur National Forest in eastern Oregon.

Treesearch

Donald R. Gedney; Floyd A. Johnson; Vernon E. Hicks

1959-01-01

During 1955-56 an inventory was made of forested land in the Middle Fork Working Circle of the Malheur National Forest to provide information necessary for calculation of the allowable cut and for other management purposes. The growth and mortality estimates in the following report were obtained from this inventory. Although the estimates apply directly to the Middle...

Associations of job demands and intelligence with cognitive performance among men in late life.

PubMed

Potter, Guy G; Helms, Michael J; Plassman, Brenda L

2008-05-06

To examine the association of job characteristics and intelligence to cognitive status in members of the National Academy of Sciences-National Research Council Twins Registry of World War II veterans. Participants (n = 1,036) included individuals with an assessment of intelligence based on Armed Services testing in early adulthood. In late adulthood, these individuals completed the modified Telephone Interview for Cognitive Status (TICS-m) and occupational history as part of an epidemiologic study of aging and dementia. Occupational history was coded to produce a matrix of job characteristics. Based on factor analysis, job characteristics were interpreted as reflecting general intellectual demands (GI), human interaction and communication (HC), physical activity (PA), and visual attention (VA). Based on regression analysis of TICS-m score covarying for age, intelligence, and years of education, higher levels of GI and HC were independently associated with higher TICS-m performance, whereas higher PA was independently associated with lower performance. There was an interaction of GI and intelligence, indicating that individuals at the lower range of intellectual aptitude in early adulthood derived greater cognitive benefit from intellectually demanding work. Intellectually demanding work was associated with greater benefit to cognitive performance in later life independent of related factors like education and intelligence. The fact that individuals with lower intellectual aptitude demonstrated a stronger positive association between work and higher cognitive performance during retirement suggests that behavior may enhance intellectual reserve, perhaps even years after peak intellectual activity.

Associations of job demands and intelligence with cognitive performance among men in late life

PubMed Central

Potter, Guy G.; Helms, Michael J.; Plassman, Brenda L.

2013-01-01

Objective To examine the association of job characteristics and intelligence to cognitive status in members of the National Academy of Sciences–National Research Council Twins Registry of World War II veterans. Methods Participants (n = 1,036) included individuals with an assessment of intelligence based on Armed Services testing in early adulthood. In late adulthood, these individuals completed the modified Telephone Interview for Cognitive Status (TICS-m) and occupational history as part of an epidemiologic study of aging and dementia. Occupational history was coded to produce a matrix of job characteristics. Based on factor analysis, job characteristics were interpreted as reflecting general intellectual demands (GI), human interaction and communication (HC), physical activity (PA), and visual attention (VA). Results Based on regression analysis of TICS-m score covarying for age, intelligence, and years of education, higher levels of GI and HC were independently associated with higher TICS-m performance, whereas higher PA was independently associated with lower performance. There was an interaction of GI and intelligence, indicating that individuals at the lower range of intellectual aptitude in early adulthood derived greater cognitive benefit from intellectually demanding work. Conclusions Intellectually demanding work was associated with greater benefit to cognitive performance in later life independent of related factors like education and intelligence. The fact that individuals with lower intellectual aptitude demonstrated a stronger positive association between work and higher cognitive performance during retirement suggests that behavior may enhance intellectual reserve, perhaps even years after peak intellectual activity. PMID:18077796

Estimating the recreational-use value for hiking in Bellenden Ker National Park, Australia.

PubMed

Nillesen, Eleonora; Wesseler, Justus; Cook, Averil

2005-08-01

The recreational-use value of hiking in the Bellenden Ker National Park, Australia has been estimated using a zonal travel cost model. Multiple destination visitors have been accounted for by converting visitors' own ordinal ranking of the various sites visited to numerical weights, using an expected-value approach. The value of hiking and camping in this national park was found to be dollar AUS 250,825 per year, or dollar AUS 144,45 per visitor per year, which is similar to findings from other studies valuing recreational benefits. The management of the park can use these estimates when considering the introduction of a system of user pays fees. In addition, they might be important when decisions need to be made about the allocation of resources for maintenance or upgrade of tracks and facilities.

National Differences in Intelligence and Educational Attainment

ERIC Educational Resources Information Center

Lynn, Richard; Mikk, Jaan

2007-01-01

We examine the correlations between the national IQs of Lynn and Vanhanen (Lynn, R. and Vanhanen, T. (2002). "IQ and the wealth of nations". Westport, CT: Praeger. Westport, CT: Praeger, Lynn, R. and Vanhanen, T. (2006). "IQ and global inequality". Athens, GA: Washington Summit Books.) and educational attainment scores in math and science for 10-…

Forecasting rain events - Meteorological models or collective intelligence?

NASA Astrophysics Data System (ADS)

Arazy, Ofer; Halfon, Noam; Malkinson, Dan

2015-04-01

Collective intelligence is shared (or group) intelligence that emerges from the collective efforts of many individuals. Collective intelligence is the aggregate of individual contributions: from simple collective decision making to more sophisticated aggregations such as in crowdsourcing and peer-production systems. In particular, collective intelligence could be used in making predictions about future events, for example by using prediction markets to forecast election results, stock prices, or the outcomes of sport events. To date, there is little research regarding the use of collective intelligence for prediction of weather forecasting. The objective of this study is to investigate the extent to which collective intelligence could be utilized to accurately predict weather events, and in particular rainfall. Our analyses employ metrics of group intelligence, as well as compare the accuracy of groups' predictions against the predictions of the standard model used by the National Meteorological Services. We report on preliminary results from a study conducted over the 2013-2014 and 2014-2015 winters. We have built a web site that allows people to make predictions on precipitation levels on certain locations. During each competition participants were allowed to enter their precipitation forecasts (i.e. 'bets') at three locations and these locations changed between competitions. A precipitation competition was defined as a 48-96 hour period (depending on the expected weather conditions), bets were open 24-48 hours prior to the competition, and during betting period participants were allowed to change their bets with no limitation. In order to explore the effect of transparency, betting mechanisms varied across study's sites: full transparency (participants able to see each other's bets); partial transparency (participants see the group's average bet); and no transparency (no information of others' bets is made available). Several interesting findings emerged from

An intelligent remote monitoring system for artificial heart.

PubMed

Choi, Jaesoon; Park, Jun W; Chung, Jinhan; Min, Byoung G

2005-12-01

A web-based database system for intelligent remote monitoring of an artificial heart has been developed. It is important for patients with an artificial heart implant to be discharged from the hospital after an appropriate stabilization period for better recovery and quality of life. Reliable continuous remote monitoring systems for these patients with life support devices are gaining practical meaning. The authors have developed a remote monitoring system for this purpose that consists of a portable/desktop monitoring terminal, a database for continuous recording of patient and device status, a web-based data access system with which clinicians can access real-time patient and device status data and past history data, and an intelligent diagnosis algorithm module that noninvasively estimates blood pump output and makes automatic classification of the device status. The system has been tested with data generation emulators installed on remote sites for simulation study, and in two cases of animal experiments conducted at remote facilities. The system showed acceptable functionality and reliability. The intelligence algorithm also showed acceptable practicality in an application to animal experiment data.

Deploying the integrated metropolitan intelligent transportation systems (ITS) infrastructure : FY 2003 report

DOT National Transportation Integrated Search

2003-01-01

In January 1996, the Secretary of Transportation set a goal of deploying the integrated metropolitan Intelligent Transportation System (ITS) infrastructure in 75 of the nation's largest metropolitan areas by 2005. Using data from surveys administered...

Deploying the integrated metropolitan intelligent transportation systems (ITS) infrastructure : FY 2004 report

DOT National Transportation Integrated Search

2005-07-01

In January 1996, the Secretary of Transportation set a goal of deploying the integrated metropolitan Intelligent Transportation System (ITS) infrastructure in 75 of the nation's largest metropolitan areas by 2005. Using data from surveys administered...

Intelligence Is as Intelligence Does: Can Additional Support Needs Replace Disability?

ERIC Educational Resources Information Center

Arnold, Samuel R. C.; Riches, Vivienne C.; Stancliffe, Roger J.

2011-01-01

In many developed cultures there is an assumption that IQ is intelligence. However, emerging theories of multiple intelligences, of emotional intelligence, as well as the application of IQ testing to other cultural groups, and to people with disability, raises many questions as to what IQ actually measures. Despite recent research that shows IQ…

Emotional Intelligence, Creativity and Academic Achievement of Business Administration Students

ERIC Educational Resources Information Center

Olatoye, R. Ademola; Akintunde, S. O.; Yakasai, M. I.

2010-01-01

Introduction: This study investigated the extent to which the level of creativity and emotional intelligence influenced the level of academic achievement of Higher National Diploma HND business administration students of Polytechnics in the South Western States of Nigeria. Method: Three instruments; Student Cumulative Grade Point (CGPA)…

Towards national-scale greenhouse gas emissions evaluation with robust uncertainty estimates

NASA Astrophysics Data System (ADS)

Rigby, Matthew; Swallow, Ben; Lunt, Mark; Manning, Alistair; Ganesan, Anita; Stavert, Ann; Stanley, Kieran; O'Doherty, Simon

2016-04-01

Through the Deriving Emissions related to Climate Change (DECC) network and the Greenhouse gAs Uk and Global Emissions (GAUGE) programme, the UK's greenhouse gases are now monitored by instruments mounted on telecommunications towers and churches, on a ferry that performs regular transects of the North Sea, on-board a research aircraft and from space. When combined with information from high-resolution chemical transport models such as the Met Office Numerical Atmospheric dispersion Modelling Environment (NAME), these measurements are allowing us to evaluate emissions more accurately than has previously been possible. However, it has long been appreciated that current methods for quantifying fluxes using atmospheric data suffer from uncertainties, primarily relating to the chemical transport model, that have been largely ignored to date. Here, we use novel model reduction techniques for quantifying the influence of a set of potential systematic model errors on the outcome of a national-scale inversion. This new technique has been incorporated into a hierarchical Bayesian framework, which can be shown to reduce the influence of subjective choices on the outcome of inverse modelling studies. Using estimates of the UK's methane emissions derived from DECC and GAUGE tall-tower measurements as a case study, we will show that such model systematic errors have the potential to significantly increase the uncertainty on national-scale emissions estimates. Therefore, we conclude that these factors must be incorporated in national emissions evaluation efforts, if they are to be credible.

Child Mortality Estimation 2013: An Overview of Updates in Estimation Methods by the United Nations Inter-Agency Group for Child Mortality Estimation

PubMed Central

Alkema, Leontine; New, Jin Rou; Pedersen, Jon; You, Danzhen

2014-01-01

Background In September 2013, the United Nations Inter-agency Group for Child Mortality Estimation (UN IGME) published an update of the estimates of the under-five mortality rate (U5MR) and under-five deaths for all countries. Compared to the UN IGME estimates published in 2012, updated data inputs and a new method for estimating the U5MR were used. Methods We summarize the new U5MR estimation method, which is a Bayesian B-spline Bias-reduction model, and highlight differences with the previously used method. Differences in UN IGME U5MR estimates as published in 2012 and those published in 2013 are presented and decomposed into differences due to the updated database and differences due to the new estimation method to explain and motivate changes in estimates. Findings Compared to the previously used method, the new UN IGME estimation method is based on a different trend fitting method that can track (recent) changes in U5MR more closely. The new method provides U5MR estimates that account for data quality issues. Resulting differences in U5MR point estimates between the UN IGME 2012 and 2013 publications are small for the majority of countries but greater than 10 deaths per 1,000 live births for 33 countries in 2011 and 19 countries in 1990. These differences can be explained by the updated database used, the curve fitting method as well as accounting for data quality issues. Changes in the number of deaths were less than 10% on the global level and for the majority of MDG regions. Conclusions The 2013 UN IGME estimates provide the most recent assessment of levels and trends in U5MR based on all available data and an improved estimation method that allows for closer-to-real-time monitoring of changes in the U5MR and takes account of data quality issues. PMID:25013954

Improved Intelligence Warning in an Age of Complexity

DTIC Science & Technology

2015-05-21

at, and applying complexity science to this problem, which is represented by a multidiscipline study of large networks comprised of interdependent...For analysts and policy makers, complexity science offers methods to improve this understanding. As said by Ms. Irene Sanders, director of the... science to improve intelligence warning. The initial section describes how policy makers and national security leaders understand the current

Peer Review Of The National Highway Traffic Safety Administration Program, Workshop Proceedings

DOT National Transportation Integrated Search

1995-12-11

THE NATIONAL HIGHWAY TRAFFIC SAFETY ADMINISTRATION PREPARED AN INTELLIGENT TRANSPORTATION SYSTEMS PROGRAM PLAN AS PART OF THE EARLY PLANNING FOR THE INTELLIGENT TRANSPORTATION SYSTEM (ITS) WORK WITHIN THE DEPARTMENT OF TRANSPORTATION. COMMERCIALIZATI...

Heroin delay discounting: Modulation by pharmacological state, drug-use impulsivity, and intelligence.

PubMed

Stoltman, Jonathan J K; Woodcock, Eric A; Lister, Jamey J; Lundahl, Leslie H; Greenwald, Mark K

2015-12-01

Delay discounting (DD) refers to how rapidly an individual devalues goods based on delays to receipt. DD usually is considered a trait variable but can be state dependent, yet few studies have assessed commodity valuation at short, naturalistically relevant time intervals that might enable state-dependent analysis. This study aimed to determine whether drug-use impulsivity and intelligence influence heroin DD at short (ecologically relevant) delays during two pharmacological states (heroin satiation and withdrawal). Out-of-treatment, intensive heroin users (n = 170; 53.5% African American; 66.7% male) provided complete DD data during imagined heroin satiation and withdrawal. Delays were 3, 6, 12, 24, 48, 72, and 96 hours; maximum delayed heroin amount was thirty $10 bags. Indifference points were used to calculate area under the curve (AUC). We also assessed drug-use impulsivity (subscales from the Impulsive Relapse Questionnaire [IRQ]) and estimated intelligence (Shipley IQ) as predictors of DD. Heroin discounting was greater (smaller AUC) during withdrawal than satiation. In regression analyses, lower intelligence and IRQ Capacity for Delay as well as higher IRQ Speed (to return to drug use) predicted greater heroin discounting in the satiation condition. Lower intelligence and higher IRQ Speed predicted greater discounting in the withdrawal condition. Sex, race, substance use variables, and other IRQ subscales were not significantly related to the withdrawal or satiation DD behavior. In summary, heroin discounting was temporally rapid, pharmacologically state dependent, and predicted by drug-use impulsivity and estimated intelligence. These findings highlight a novel and sensitive measure of acute DD that is easy to administer. (PsycINFO Database Record (c) 2015 APA, all rights reserved).

Association of Fluid Intelligence and Psychiatric Disorders in a Population-Representative Sample of US Adolescents.

PubMed

Keyes, Katherine M; Platt, Jonathan; Kaufman, Alan S; McLaughlin, Katie A

2017-02-01

Despite long-standing interest in the association of psychiatric disorders with intelligence, few population-based studies of psychiatric disorders have assessed intelligence. To investigate the association of fluid intelligence with past-year and lifetime psychiatric disorders, disorder age at onset, and disorder severity in a nationally representative sample of US adolescents. National sample of adolescents ascertained from schools and households from the National Comorbidity Survey Replication-Adolescent Supplement, collected 2001 through 2004. Face-to-face household interviews with adolescents and questionnaires from parents were obtained. The data were analyzed from February to December 2016. DSM-IV mental disorders were assessed with the World Health Organization Composite International Diagnostic Interview, and included a broad range of fear, distress, behavior, substance use, and other disorders. Disorder severity was measured with the Sheehan Disability Scale. Fluid IQ measured with the Kaufman Brief Intelligence Test, normed within the sample by 6-month age groups. The sample included 10 073 adolescents (mean [SD] age, 15.2 [1.50] years; 49.0% female) with valid data on fluid intelligence. Lower mean (SE) IQ was observed among adolescents with past-year bipolar disorder (94.2 [1.69]; P = .004), attention-deficit/hyperactivity disorder (96.3 [0.91]; P = .002), oppositional defiant disorder (97.3 [0.66]; P = .007), conduct disorder (97.1 [0.82]; P = .02), substance use disorders (alcohol abuse, 96.5 [0.67]; P < .001; drug abuse, 97.6 [0.64]; P = .02), and specific phobia (97.1 [0.39]; P = .001) after adjustment for a wide range of potential confounders. Intelligence was not associated with posttraumatic stress disorder, eating disorders, and anxiety disorders other than specific phobia, and was positively associated with past-year major depression (mean [SE], 100 [0.5]; P = .01). Associations of fluid intelligence with

National Postsecondary Student Aid Study: Student Financial Aid Estimates for 1999-2000. E.D. Tabs.

ERIC Educational Resources Information Center

National Center for Education Statistics (ED), Washington, DC.

The National Postsecondary Student Aid Study (NPSAS) is a comprehensive survey that examines how students and their families pay for postsecondary education. The study included nationally representative samples of students, including those who do and do not receive financial aid. This report has been prepared to provide some key estimates as…

Intelligent Processing Equipment Research Supported by the National Science Foundation

NASA Technical Reports Server (NTRS)

Rao, Suren B.

1992-01-01

The research in progress on processes, workstations, and systems has the goal of developing a high level of understanding of the issues involved. This will enable the incorporation of a level of intelligence that will allow the creation of autonomous manufacturing systems that operate in an optimum manner, under a wide range of conditions. The emphasis of the research has been on the development of highly productive and flexible techniques to address current and future problems in manufacturing and processing. Several of these projects have resulted in well-defined and established models that can now be implemented in the application arena in the next few years.

Defense Intelligence Agency: 50 Years Committed to Excellence in Defense of the Nation

DTIC Science & Technology

2011-01-01

counter- terrorism remained critical intelligence issues at the end of the decade. Army Rangers drop into Panama during Operation JUST CAUSE in...a few days later. In April 1975, a U.S. Air Force C-5A Galaxy transport plane carrying 250 Vietnam War orphans crashed outside of Saigon, killing

2K09 and thereafter : the coming era of integrative bioinformatics, systems biology and intelligent computing for functional genomics and personalized medicine research.

PubMed

Yang, Jack Y; Niemierko, Andrzej; Bajcsy, Ruzena; Xu, Dong; Athey, Brian D; Zhang, Aidong; Ersoy, Okan K; Li, Guo-Zheng; Borodovsky, Mark; Zhang, Joe C; Arabnia, Hamid R; Deng, Youping; Dunker, A Keith; Liu, Yunlong; Ghafoor, Arif

2010-12-01

Significant interest exists in establishing synergistic research in bioinformatics, systems biology and intelligent computing. Supported by the United States National Science Foundation (NSF), International Society of Intelligent Biological Medicine (http://www.ISIBM.org), International Journal of Computational Biology and Drug Design (IJCBDD) and International Journal of Functional Informatics and Personalized Medicine, the ISIBM International Joint Conferences on Bioinformatics, Systems Biology and Intelligent Computing (ISIBM IJCBS 2009) attracted more than 300 papers and 400 researchers and medical doctors world-wide. It was the only inter/multidisciplinary conference aimed to promote synergistic research and education in bioinformatics, systems biology and intelligent computing. The conference committee was very grateful for the valuable advice and suggestions from honorary chairs, steering committee members and scientific leaders including Dr. Michael S. Waterman (USC, Member of United States National Academy of Sciences), Dr. Chih-Ming Ho (UCLA, Member of United States National Academy of Engineering and Academician of Academia Sinica), Dr. Wing H. Wong (Stanford, Member of United States National Academy of Sciences), Dr. Ruzena Bajcsy (UC Berkeley, Member of United States National Academy of Engineering and Member of United States Institute of Medicine of the National Academies), Dr. Mary Qu Yang (United States National Institutes of Health and Oak Ridge, DOE), Dr. Andrzej Niemierko (Harvard), Dr. A. Keith Dunker (Indiana), Dr. Brian D. Athey (Michigan), Dr. Weida Tong (FDA, United States Department of Health and Human Services), Dr. Cathy H. Wu (Georgetown), Dr. Dong Xu (Missouri), Drs. Arif Ghafoor and Okan K Ersoy (Purdue), Dr. Mark Borodovsky (Georgia Tech, President of ISIBM), Dr. Hamid R. Arabnia (UGA, Vice-President of ISIBM), and other scientific leaders. The committee presented the 2009 ISIBM Outstanding Achievement Awards to Dr. Joydeep Ghosh (UT

2K09 and thereafter : the coming era of integrative bioinformatics, systems biology and intelligent computing for functional genomics and personalized medicine research

PubMed Central

2010-01-01

Significant interest exists in establishing synergistic research in bioinformatics, systems biology and intelligent computing. Supported by the United States National Science Foundation (NSF), International Society of Intelligent Biological Medicine (http://www.ISIBM.org), International Journal of Computational Biology and Drug Design (IJCBDD) and International Journal of Functional Informatics and Personalized Medicine, the ISIBM International Joint Conferences on Bioinformatics, Systems Biology and Intelligent Computing (ISIBM IJCBS 2009) attracted more than 300 papers and 400 researchers and medical doctors world-wide. It was the only inter/multidisciplinary conference aimed to promote synergistic research and education in bioinformatics, systems biology and intelligent computing. The conference committee was very grateful for the valuable advice and suggestions from honorary chairs, steering committee members and scientific leaders including Dr. Michael S. Waterman (USC, Member of United States National Academy of Sciences), Dr. Chih-Ming Ho (UCLA, Member of United States National Academy of Engineering and Academician of Academia Sinica), Dr. Wing H. Wong (Stanford, Member of United States National Academy of Sciences), Dr. Ruzena Bajcsy (UC Berkeley, Member of United States National Academy of Engineering and Member of United States Institute of Medicine of the National Academies), Dr. Mary Qu Yang (United States National Institutes of Health and Oak Ridge, DOE), Dr. Andrzej Niemierko (Harvard), Dr. A. Keith Dunker (Indiana), Dr. Brian D. Athey (Michigan), Dr. Weida Tong (FDA, United States Department of Health and Human Services), Dr. Cathy H. Wu (Georgetown), Dr. Dong Xu (Missouri), Drs. Arif Ghafoor and Okan K Ersoy (Purdue), Dr. Mark Borodovsky (Georgia Tech, President of ISIBM), Dr. Hamid R. Arabnia (UGA, Vice-President of ISIBM), and other scientific leaders. The committee presented the 2009 ISIBM Outstanding Achievement Awards to Dr. Joydeep Ghosh (UT

Estimating the parasitaemia of Plasmodium falciparum: experience from a national EQA scheme

PubMed Central

2013-01-01

Background To examine performance of the identification and estimation of percentage parasitaemia of Plasmodium falciparum in stained blood films distributed in the UK National External Quality Assessment Scheme (UKNEQAS) Blood Parasitology Scheme. Methods Analysis of performance for the diagnosis and estimation of the percentage parasitaemia of P. falciparum in Giemsa-stained thin blood films was made over a 15-year period to look for trends in performance. Results An average of 25% of participants failed to estimate the percentage parasitaemia, 17% overestimated and 8% underestimated, whilst 5% misidentified the malaria species present. Conclusions Although the results achieved by participants for other blood parasites have shown an overall improvement, the level of performance for estimation of the parasitaemia of P. falciparum remains unchanged over 15 years. Possible reasons include incorrect calculation, not examining the correct part of the film and not examining an adequate number of microscope fields. PMID:24261625

Complementary Machine Intelligence and Human Intelligence in Virtual Teaching Assistant for Tutoring Program Tracing

ERIC Educational Resources Information Center

Chou, Chih-Yueh; Huang, Bau-Hung; Lin, Chi-Jen

2011-01-01

This study proposes a virtual teaching assistant (VTA) to share teacher tutoring tasks in helping students practice program tracing and proposes two mechanisms of complementing machine intelligence and human intelligence to develop the VTA. The first mechanism applies machine intelligence to extend human intelligence (teacher answers) to evaluate…

National estimates of outdoor recreational injuries treated in emergency departments, United States, 2004-2005.

PubMed

Flores, Adrian H; Haileyesus, Tadesse; Greenspan, Arlene I

2008-01-01

To provide national estimates of nonfatal outdoor recreational injuries treated in US emergency departments (EDs). Outdoor recreational injuries from January 2004 through December 2005 were identified using the National Electronic Injury Surveillance System-All Injury Program, a nationally representative sample of ED visits. National estimates of outdoor recreational injuries were calculated, and activities leading to injury, demographic characteristics, principal diagnoses, and primary body parts affected were described. From January 2004 through December 2005, an estimated 212 708 (95% CI = 113 808- 311 608) persons were treated each year in US EDs for outdoor recreational injuries. The annual rate of injuries was 72.1 per 100 000 population (95% CI = 38.6-105.6). Males accounted for 68.2% of the injuries. The lower limb (27%), upper limb (25%), and head and neck region (23.3%) were the most commonly injured body regions. Fractures (27.4%) and sprains or strains (23.9%) were the most common diagnoses. Traumatic brain injuries were diagnosed in 6.5% of injuries, and 5% of injuries resulted in hospitalization or transfer to another hospital. The results of this study provide a starting point for further research into the epidemiology of outdoor and wilderness injury. The results reinforce many common perceptions about the nature of these injuries while highlighting the potential severity and long-term consequences of the injuries. The general recommendations of proper planning, preparation, and problem anticipation for outdoor and wilderness injury prevention should be followed to reduce both the number and severity of injuries.

Intelligent Conduct of Fire Trainer: Intelligent Technology Applied to Simulator-Based Training.

ERIC Educational Resources Information Center

Newman, Denis; And Others

1989-01-01

Describes an intelligent tutoring system (ITS) that demonstrates how intelligent feedback can enhance conventional simulation-based training. An explanation is given of the Intelligent Conduct of Fire Trainer (INCOFT), which was designed to provide training exercises for soldiers operating the PATRIOT missile system, and its implications for…

Third International Symposium on Artificial Intelligence, Robotics, and Automation for Space 1994

NASA Technical Reports Server (NTRS)

1994-01-01

The Third International Symposium on Artificial Intelligence, Robotics, and Automation for Space (i-SAIRAS 94), held October 18-20, 1994, in Pasadena, California, was jointly sponsored by NASA, ESA, and Japan's National Space Development Agency, and was hosted by the Jet Propulsion Laboratory (JPL) of the California Institute of Technology. i-SAIRAS 94 featured presentations covering a variety of technical and programmatic topics, ranging from underlying basic technology to specific applications of artificial intelligence and robotics to space missions. i-SAIRAS 94 featured a special workshop on planning and scheduling and provided scientists, engineers, and managers with the opportunity to exchange theoretical ideas, practical results, and program plans in such areas as space mission control, space vehicle processing, data analysis, autonomous spacecraft, space robots and rovers, satellite servicing, and intelligent instruments.

Relationships between the Kaufman Brief Intelligence Test and the Wechsler Adult Intelligence Scale-Third Edition.

PubMed

Walters, Steven O; Weaver, Kenneth A

2003-06-01

The Kaufman Brief Intelligence Test detects learning problems of young students and is a screen for whether a more comprehensive test of intelligence is needed. A study to assess whether this test was valid as an adult intelligence test was conducted with 20 undergraduate psychology majors. The correlations between the Kaufman Brief Intelligence Test's Composite, Vocabulary, and Matrices test scores and their corresponding Wechsler Adult Intelligence Scale-Third Edition test scores, the Full Scale (r=.88), Verbal (r=.77), and Performance scores (r=.87), indicated very strong relationships. In addition, no significant differences were obtained between the Composite, Vocabulary, and Matrices means of the Kaufman Brief Intelligence Test and the Full Scale, Verbal, and Performance means of the WAIS-III. The Kaufman Brief Intelligence Test appears to be a valid test of intelligence for adults.

Using multi-year national survey cohorts for period estimates: an application of weighted discrete Poisson regression for assessing annual national mortality in US adults with and without diabetes, 2000-2006.

PubMed

Cheng, Yiling J; Gregg, Edward W; Rolka, Deborah B; Thompson, Theodore J

2016-12-15

Monitoring national mortality among persons with a disease is important to guide and evaluate progress in disease control and prevention. However, a method to estimate nationally representative annual mortality among persons with and without diabetes in the United States does not currently exist. The aim of this study is to demonstrate use of weighted discrete Poisson regression on national survey mortality follow-up data to estimate annual mortality rates among adults with diabetes. To estimate mortality among US adults with diabetes, we applied a weighted discrete time-to-event Poisson regression approach with post-stratification adjustment to national survey data. Adult participants aged 18 or older with and without diabetes in the National Health Interview Survey 1997-2004 were followed up through 2006 for mortality status. We estimated mortality among all US adults, and by self-reported diabetes status at baseline. The time-varying covariates used were age and calendar year. Mortality among all US adults was validated using direct estimates from the National Vital Statistics System (NVSS). Using our approach, annual all-cause mortality among all US adults ranged from 8.8 deaths per 1,000 person-years (95% confidence interval [CI]: 8.0, 9.6) in year 2000 to 7.9 (95% CI: 7.6, 8.3) in year 2006. By comparison, the NVSS estimates ranged from 8.6 to 7.9 (correlation = 0.94). All-cause mortality among persons with diabetes decreased from 35.7 (95% CI: 28.4, 42.9) in 2000 to 31.8 (95% CI: 28.5, 35.1) in 2006. After adjusting for age, sex, and race/ethnicity, persons with diabetes had 2.1 (95% CI: 2.01, 2.26) times the risk of death of those without diabetes. Period-specific national mortality can be estimated for people with and without a chronic condition using national surveys with mortality follow-up and a discrete time-to-event Poisson regression approach with post-stratification adjustment.

Psychological Gender and Emotional Intelligence in Youth Female Soccer Players.

PubMed

Rutkowska, Katarzyna; Bergier, Józef

2015-09-29

Many sports (for instance soccer) are stereotypically perceived as a male activity. Even so, more and more women decide to become competitive athletes. Since the theory of sport requires comprehensive explanations and the practice of sport needs clear guidelines, interdisciplinary studies into the nature of sport, including its psychological aspects, are necessary. Analysing the psychological profile of female soccer players, particularly those who are about to become professional athletes, can provide many interesting insights into the specific character of female youth sport and show where improvements can be made in athletic training programmes (especially in mental training). It is therefore important to study psychological gender that determines social behaviours and to analyse female athletes' emotional intelligence. Emotional intelligence is defined as a set of emotional competencies that determine the effectiveness of human behaviours. Psychological gender and emotional intelligence have a significant effect on human adaptability and the efficiency of psychosocial functioning. This research was undertaken with the dual purpose of identifying the psychological gender and emotional intelligence of female soccer players. It involved 54 secondary-school girls, some of whom attended a sports class and others played on the Polish national team. The following tools were used to carry out the research: the Gender Assessment Inventory (IPP [This and the other acronyms derive from the Polish language]-developed by Kuczyńska) and the Emotional Intelligence Questionnaire (INTE; created by Jaworowska and Matczak). As shown by the analysis of the results, most female soccer players in the study were androgynous and the level of their emotional intelligence was significantly higher than in other participants. This also seems to point to their significantly greater adaptability. At the same time, the level of emotional intelligence in many players was average or low

Psychological Gender and Emotional Intelligence in Youth Female Soccer Players

PubMed Central

Rutkowska, Katarzyna; Bergier, Józef

2015-01-01

Many sports (for instance soccer) are stereotypically perceived as a male activity. Even so, more and more women decide to become competitive athletes. Since the theory of sport requires comprehensive explanations and the practice of sport needs clear guidelines, interdisciplinary studies into the nature of sport, including its psychological aspects, are necessary. Analysing the psychological profile of female soccer players, particularly those who are about to become professional athletes, can provide many interesting insights into the specific character of female youth sport and show where improvements can be made in athletic training programmes (especially in mental training). It is therefore important to study psychological gender that determines social behaviours and to analyse female athletes’ emotional intelligence. Emotional intelligence is defined as a set of emotional competencies that determine the effectiveness of human behaviours. Psychological gender and emotional intelligence have a significant effect on human adaptability and the efficiency of psychosocial functioning. This research was undertaken with the dual purpose of identifying the psychological gender and emotional intelligence of female soccer players. It involved 54 secondary-school girls, some of whom attended a sports class and others played on the Polish national team. The following tools were used to carry out the research: the Gender Assessment Inventory (IPP [This and the other acronyms derive from the Polish language]-developed by Kuczyńska) and the Emotional Intelligence Questionnaire (INTE; created by Jaworowska and Matczak). As shown by the analysis of the results, most female soccer players in the study were androgynous and the level of their emotional intelligence was significantly higher than in other participants. This also seems to point to their significantly greater adaptability. At the same time, the level of emotional intelligence in many players was average or low

Fluid intelligence: A brief history.

PubMed

Kent, Phillip

2017-01-01

The concept of fluid and crystallized intelligence was introduced to the psychological community approximately 75 years ago by Raymond B. Cattell, and it continues to be an area of active research and controversy. The purpose of this paper is to provide a brief overview of the origin of the concept, early efforts to define intelligence and uses of intelligence tests to address pressing social issues, and the ongoing controversies associated with fluid intelligence and the structure of intelligence. The putative neuropsychological underpinnings and neurological substrates of fluid intelligence are discussed.

Effect of breast feeding on intelligence in children: prospective study, sibling pairs analysis, and meta-analysis.

PubMed

Der, Geoff; Batty, G David; Deary, Ian J

2006-11-04

To assess the importance of maternal intelligence, and the effect of controlling for it and other important confounders, in the link between breast feeding and children's intelligence. Examination of the effect of breast feeding on cognitive ability and the impact of a range of potential confounders, in particular maternal IQ, within a national database. Additional analyses compared pairs of siblings from the sample who were and were not breast fed. The results are considered in the context of other studies that have also controlled for parental intelligence via meta-analysis. 1979 US national longitudinal survey of youth. Data on 5475 children, the offspring of 3161 mothers in the longitudinal survey. IQ in children measured by Peabody individual achievement test. The mother's IQ was more highly predictive of breastfeeding status than were her race, education, age, poverty status, smoking, the home environment, or the child's birth weight or birth order. One standard deviation advantage in maternal IQ more than doubled the odds of breast feeding. Before adjustment, breast feeding was associated with an increase of around 4 points in mental ability. Adjustment for maternal intelligence accounted for most of this effect. When fully adjusted for a range of relevant confounders, the effect was small (0.52) and non-significant (95% confidence interval -0.19 to 1.23). The results of the sibling comparisons and meta-analysis corroborated these findings. Breast feeding has little or no effect on intelligence in children. While breast feeding has many advantages for the child and mother, enhancement of the child's intelligence is unlikely to be among them.

Characterizing Speech Intelligibility in Noise After Wide Dynamic Range Compression.

PubMed

Rhebergen, Koenraad S; Maalderink, Thijs H; Dreschler, Wouter A

The effects of nonlinear signal processing on speech intelligibility in noise are difficult to evaluate. Often, the effects are examined by comparing speech intelligibility scores with and without processing measured at fixed signal to noise ratios (SNRs) or by comparing the adaptive measured speech reception thresholds corresponding to 50% intelligibility (SRT50) with and without processing. These outcome measures might not be optimal. Measuring at fixed SNRs can be affected by ceiling or floor effects, because the range of relevant SNRs is not know in advance. The SRT50 is less time consuming, has a fixed performance level (i.e., 50% correct), but the SRT50 could give a limited view, because we hypothesize that the effect of most nonlinear signal processing algorithms at the SRT50 cannot be generalized to other points of the psychometric function. In this article, we tested the value of estimating the entire psychometric function. We studied the effect of wide dynamic range compression (WDRC) on speech intelligibility in stationary, and interrupted speech-shaped noise in normal-hearing subjects, using a fast method-based local linear fitting approach and by two adaptive procedures. The measured performance differences for conditions with and without WDRC for the psychometric functions in stationary noise and interrupted speech-shaped noise show that the effects of WDRC on speech intelligibility are SNR dependent. We conclude that favorable and unfavorable effects of WDRC on speech intelligibility can be missed if the results are presented in terms of SRT50 values only.

Comparison of Estimates from the 1995 National Household Education Survey (NHES:95). Working Paper Series.

ERIC Educational Resources Information Center

Kim, Kwang; Loomis, Laura S.; Collins, Mary A.

This report compares selected estimates from the two components of the 1995 National Household Education Survey (NHES:95) with estimates from other survey data. The two different components of the NHES:95, the Adult Education (AE) and the Early Childhood Program Participation (ECPP) components, cover a variety of topics related to participation in…

Predicting speech intelligibility based on the signal-to-noise envelope power ratio after modulation-frequency selective processing.

PubMed

Jørgensen, Søren; Dau, Torsten

2011-09-01

A model for predicting the intelligibility of processed noisy speech is proposed. The speech-based envelope power spectrum model has a similar structure as the model of Ewert and Dau [(2000). J. Acoust. Soc. Am. 108, 1181-1196], developed to account for modulation detection and masking data. The model estimates the speech-to-noise envelope power ratio, SNR(env), at the output of a modulation filterbank and relates this metric to speech intelligibility using the concept of an ideal observer. Predictions were compared to data on the intelligibility of speech presented in stationary speech-shaped noise. The model was further tested in conditions with noisy speech subjected to reverberation and spectral subtraction. Good agreement between predictions and data was found in all cases. For spectral subtraction, an analysis of the model's internal representation of the stimuli revealed that the predicted decrease of intelligibility was caused by the estimated noise envelope power exceeding that of the speech. The classical concept of the speech transmission index fails in this condition. The results strongly suggest that the signal-to-noise ratio at the output of a modulation frequency selective process provides a key measure of speech intelligibility. © 2011 Acoustical Society of America

Home environment, nutritional status and maternal intelligence as determinants of intellectual development in rural Philippine preschool children.

PubMed

Church, A T; Katigbak, M S

1991-01-01

Psychologists used 7 subtests based on Western intelligence tests but developed for rural preschoolers in Tagalog-speaking regions of the Philippines to estimate intelligence of 177 5-6 year old children in 4 agricultural villages in the provinces of Batangas and Oriental Mindoro. They also assessed the height for age, weight for age, and mid upper arm circumference of the children to determine nutritional status. They used 2 subtests from the Philippine Aptitude Classification Test to estimate the intelligence of 181 mothers and asked the mothers questions from the Environmental Interview Questionnaire to determine the status of the home environment. The psychologists hoped to examine the association between home environment, nutritional status, and intellectual development in these preschool children. A moderate association existed between home environment and intellectual development. It contributed more to child intellectual performance than did socioeconomic status and maternal intelligence. The physical and psychosocial environment also contributed to intellectual development. Maternal intelligence, a partial index of genetic influence, could not altogether explain the association between home environment and intellectual development. These results may identify environment experiences concerning environmental specificity such as exploration of the surrounding environment and spatial ability. Intellectual development was not significantly related to nutritional status in normal to moderately malnourished children.

Artificial intelligence in medicine.

PubMed Central

Ramesh, A. N.; Kambhampati, C.; Monson, J. R. T.; Drew, P. J.

2004-01-01

INTRODUCTION: Artificial intelligence is a branch of computer science capable of analysing complex medical data. Their potential to exploit meaningful relationship with in a data set can be used in the diagnosis, treatment and predicting outcome in many clinical scenarios. METHODS: Medline and internet searches were carried out using the keywords 'artificial intelligence' and 'neural networks (computer)'. Further references were obtained by cross-referencing from key articles. An overview of different artificial intelligent techniques is presented in this paper along with the review of important clinical applications. RESULTS: The proficiency of artificial intelligent techniques has been explored in almost every field of medicine. Artificial neural network was the most commonly used analytical tool whilst other artificial intelligent techniques such as fuzzy expert systems, evolutionary computation and hybrid intelligent systems have all been used in different clinical settings. DISCUSSION: Artificial intelligence techniques have the potential to be applied in almost every field of medicine. There is need for further clinical trials which are appropriately designed before these emergent techniques find application in the real clinical setting. PMID:15333167

Artificial intelligence in medicine.

PubMed

Ramesh, A N; Kambhampati, C; Monson, J R T; Drew, P J

2004-09-01

Artificial intelligence is a branch of computer science capable of analysing complex medical data. Their potential to exploit meaningful relationship with in a data set can be used in the diagnosis, treatment and predicting outcome in many clinical scenarios. Medline and internet searches were carried out using the keywords 'artificial intelligence' and 'neural networks (computer)'. Further references were obtained by cross-referencing from key articles. An overview of different artificial intelligent techniques is presented in this paper along with the review of important clinical applications. The proficiency of artificial intelligent techniques has been explored in almost every field of medicine. Artificial neural network was the most commonly used analytical tool whilst other artificial intelligent techniques such as fuzzy expert systems, evolutionary computation and hybrid intelligent systems have all been used in different clinical settings. Artificial intelligence techniques have the potential to be applied in almost every field of medicine. There is need for further clinical trials which are appropriately designed before these emergent techniques find application in the real clinical setting.

Educational Programs for Intelligence Professionals.

ERIC Educational Resources Information Center

Miller, Jerry P.

1994-01-01

Discusses the need for education programs for competitive intelligence professionals. Highlights include definitions of intelligence functions, focusing on business intelligence; information utilization by decision makers; information sources; competencies for intelligence professionals; and the development of formal education programs. (38…

Psychomotor coordination and intelligence in childhood and health in adulthood--testing the system integrity hypothesis.

PubMed

Gale, Catharine R; Batty, G David; Cooper, Cyrus; Deary, Ian J

2009-07-01

To examine associations between intelligence and psychomotor coordination in childhood and risk of psychological distress, poorer self-rated health, and obesity in adulthood. To investigate whether psychomotor coordination as a potential marker of the construct "system integrity" explains associations between intelligence and these outcomes. Participants were members of two British national birth cohorts: the 1958 National Child Development Survey (n = 6147) and the 1970 British Cohort Study (n = 6475). They took tests of psychomotor coordination and intelligence at age 10 to 11 years and reported on their health when in their early 30s. For a standard deviation increase in psychomotor coordination score, sex-adjusted odds ratios (95% CI) for the 1958 and 1970 cohorts, respectively, were 0.79 (0.72-0.87) and 0.83 (0.77-0.89) for psychological distress, 0.79 (0.73-0.85) and 0.85 (0.78-0.91) for fair/poor self-rated health, and 0.81 (0.75-0.88) and 0.85 (0.78-0.92) for obesity. These associations were independent of childhood intelligence and most remained significant after adjustment for other covariates. Higher intelligence quotient was associated with a reduced risk of psychological distress, fair/poor self-rated health, and obesity in adulthood. These associations were not explained by potential confounding factors or by psychomotor coordination in childhood. Having better psychomotor coordination in childhood seems protective for some aspects of health in adulthood. Examination of the role played by other markers of the efficiency of the central nervous system may help reveal the extent to which system integrity underlies the link between intelligence and health.

Intelligent Transportation Systems Joint Program Office (ITS JPO) within the Office of the Assistant Secretary for Research and Technology (OST-R) : [fact sheet

DOT National Transportation Integrated Search

2017-05-19

The ITS JPO is the U.S. Department of Transportations primary advocate and national leader for ITS research, development, and future deployment of connected vehicle technologies, focusing on intelligent vehicles, intelligent infrastructure, and th...

Communication, storage, and processing load requirements of alternative intelligent vehicle highway systems architectures

DOT National Transportation Integrated Search

1993-05-01

The MlTRE Corporation is supporting the Federal Highway Administration (FHWA) in : the development of a national architecture for Intelligent Vehicle Highway Systems (IVHS). : This report examines the communication, processing, and storage load requi...

National Estimates of Male and Female Enrolment in American High School Choirs, Bands and Orchestras

ERIC Educational Resources Information Center

Elpus, Kenneth

2015-01-01

The purpose of this study was to estimate, at a national level and over time, the participation rates of males and females among those students who formally enrol in American high school music ensembles. Ten cohorts of nationally representative samples of students from 1982 and 2009 were analysed using data from High School Transcript Studies…

Example-Tracing Tutors: Intelligent Tutor Development for Non-Programmers

ERIC Educational Resources Information Center

Aleven, Vincent; McLaren, Bruce M.; Sewall, Jonathan; van Velsen, Martin; Popescu, Octav; Demi, Sandra; Ringenberg, Michael; Koedinger, Kenneth R.

2016-01-01

In 2009, we reported on a new Intelligent Tutoring Systems (ITS) technology, example-tracing tutors, that can be built without programming using the Cognitive Tutor Authoring Tools (CTAT). Creating example-tracing tutors was shown to be 4-8 times as cost-effective as estimates for ITS development from the literature. Since 2009, CTAT and its…

Intelligent transportation systems for traffic signal control : deployment benefits and lessons learned

DOT National Transportation Integrated Search

2000-12-01

In this document, a group of authors looks back on the ten years of the national intelligent transportation systems program and examines which ITS technology applications have been successful, which have not been successful, and what are the underlyi...

Congressional Oversight of Intelligence: Current Structure and Alternatives

DTIC Science & Technology

2012-03-14

Intelligence Information, by Richard A. Best Jr.; CRS Report RL33639, Sources of Systemic Risk in Large Value Interbank Payment Systems, by Edward V. Murphy...Numerous initiatives to change Congress’s oversight structure have materialized in the meantime, including, most importantly, the creation of parallel... Risk : Report, available at http://www.preventionwmd.gov/report, p. 9. 12 Kay King, Congress and National Security, Council on Foreign Relations

Estimation of mechanical properties of nanomaterials using artificial intelligence methods

NASA Astrophysics Data System (ADS)

Vijayaraghavan, V.; Garg, A.; Wong, C. H.; Tai, K.

2014-09-01

Computational modeling tools such as molecular dynamics (MD), ab initio, finite element modeling or continuum mechanics models have been extensively applied to study the properties of carbon nanotubes (CNTs) based on given input variables such as temperature, geometry and defects. Artificial intelligence techniques can be used to further complement the application of numerical methods in characterizing the properties of CNTs. In this paper, we have introduced the application of multi-gene genetic programming (MGGP) and support vector regression to formulate the mathematical relationship between the compressive strength of CNTs and input variables such as temperature and diameter. The predictions of compressive strength of CNTs made by these models are compared to those generated using MD simulations. The results indicate that MGGP method can be deployed as a powerful method for predicting the compressive strength of the carbon nanotubes.

Sense-making for intelligence analysis on social media data

NASA Astrophysics Data System (ADS)

Pritzkau, Albert

2016-05-01

Social networks, in particular online social networks as a subset, enable the analysis of social relationships which are represented by interaction, collaboration, or other sorts of influence between people. Any set of people and their internal social relationships can be modelled as a general social graph. These relationships are formed by exchanging emails, making phone calls, or carrying out a range of other activities that build up the network. This paper presents an overview of current approaches to utilizing social media as a ubiquitous sensor network in the context of national and global security. Exploitation of social media is usually an interdisciplinary endeavour, in which the relevant technologies and methods are identified and linked in order ultimately demonstrate selected applications. Effective and efficient intelligence is usually accomplished in a combined human and computer effort. Indeed, the intelligence process heavily depends on combining a human's flexibility, creativity, and cognitive ability with the bandwidth and processing power of today's computers. To improve the usability and accuracy of the intelligence analysis we will have to rely on data-processing tools at the level of natural language. Especially the collection and transformation of unstructured data into actionable, structured data requires scalable computational algorithms ranging from Artificial Intelligence, via Machine Learning, to Natural Language Processing (NLP). To support intelligence analysis on social media data, social media analytics is concerned with developing and evaluating computational tools and frameworks to collect, monitor, analyze, summarize, and visualize social media data. Analytics methods are employed to extract of significant patterns that might not be obvious. As a result, different data representations rendering distinct aspects of content and interactions serve as a means to adapt the focus of the intelligence analysis to specific information

Artificial Intelligence.

ERIC Educational Resources Information Center

Wash, Darrel Patrick

1989-01-01

Making a machine seem intelligent is not easy. As a consequence, demand has been rising for computer professionals skilled in artificial intelligence and is likely to continue to go up. These workers develop expert systems and solve the mysteries of machine vision, natural language processing, and neural networks. (Editor)

Communications availability: Estimation studies at AMSC

NASA Technical Reports Server (NTRS)

Sigler, C. Edward, Jr.

1994-01-01

The results of L-band communications availability work performed to date are presented. Results include a L-band communications availability estimate model and field propagation trials using an INMARSAT-M terminal. American Mobile Satellite Corporation's (AMSC's) primary concern centers on availability of voice communications intelligibility, with secondary concerns for circuit-switched data and fax. The model estimates for representative terrain/vegetation areas are applied to the contiguous U.S. for overall L-band communications availability estimates.

Galen-In-Use: using artificial intelligence terminology tools to improve the linguistic coherence of a national coding system for surgical procedures.

PubMed

Rodrigues, J M; Trombert-Paviot, B; Baud, R; Wagner, J; Meusnier-Carriot, F

1998-01-01

GALEN has developed a language independent common reference model based on a medically oriented ontology and practical tools and techniques for managing healthcare terminology including natural language processing. GALEN-IN-USE is the current phase which applied the modelling and the tools to the development or the updating of coding systems for surgical procedures in different national coding centers co-operating within the European Federation of Coding Centre (EFCC) to create a language independent knowledge repository for multicultural Europe. We used an integrated set of artificial intelligence terminology tools named CLAssification Manager workbench to process French professional medical language rubrics into intermediate dissections and to the Grail reference ontology model representation. From this language independent concept model representation we generate controlled French natural language. The French national coding centre is then able to retrieve the initial professional rubrics with different categories of concepts, to compare the professional language proposed by expert clinicians to the French generated controlled vocabulary and to finalize the linguistic labels of the coding system in relation with the meanings of the conceptual system structure.

Prediction of shear wave velocity using empirical correlations and artificial intelligence methods

NASA Astrophysics Data System (ADS)

Maleki, Shahoo; Moradzadeh, Ali; Riabi, Reza Ghavami; Gholami, Raoof; Sadeghzadeh, Farhad

2014-06-01

Good understanding of mechanical properties of rock formations is essential during the development and production phases of a hydrocarbon reservoir. Conventionally, these properties are estimated from the petrophysical logs with compression and shear sonic data being the main input to the correlations. This is while in many cases the shear sonic data are not acquired during well logging, which may be for cost saving purposes. In this case, shear wave velocity is estimated using available empirical correlations or artificial intelligent methods proposed during the last few decades. In this paper, petrophysical logs corresponding to a well drilled in southern part of Iran were used to estimate the shear wave velocity using empirical correlations as well as two robust artificial intelligence methods knows as Support Vector Regression (SVR) and Back-Propagation Neural Network (BPNN). Although the results obtained by SVR seem to be reliable, the estimated values are not very precise and considering the importance of shear sonic data as the input into different models, this study suggests acquiring shear sonic data during well logging. It is important to note that the benefits of having reliable shear sonic data for estimation of rock formation mechanical properties will compensate the possible additional costs for acquiring a shear log.

A method for estimating mean and low flows of streams in national forests of Montana

USGS Publications Warehouse

Parrett, Charles; Hull, J.A.

1985-01-01

Equations were developed for estimating mean annual discharge, 80-percent exceedance discharge, and 95-percent exceedance discharge for streams on national forest lands in Montana. The equations for mean annual discharge used active-channel width, drainage area and mean annual precipitation as independent variables, with active-channel width being most significant. The equations for 80-percent exceedance discharge and 95-percent exceedance discharge used only active-channel width as an independent variable. The standard error or estimate for the best equation for estimating mean annual discharge was 27 percent. The standard errors of estimate for the equations were 67 percent for estimating 80-percent exceedance discharge and 75 percent for estimating 95-percent exceedance discharge. (USGS)

"TIS": An Intelligent Gateway Computer for Information and Modeling Networks. Overview.

ERIC Educational Resources Information Center

Hampel, Viktor E.; And Others

TIS (Technology Information System) is being used at the Lawrence Livermore National Laboratory (LLNL) to develop software for Intelligent Gateway Computers (IGC) suitable for the prototyping of advanced, integrated information networks. Dedicated to information management, TIS leads the user to available information resources, on TIS or…

Speech intelligibility in hospitals.

PubMed

Ryherd, Erica E; Moeller, Michael; Hsu, Timothy

2013-07-01

Effective communication between staff members is key to patient safety in hospitals. A variety of patient care activities including admittance, evaluation, and treatment rely on oral communication. Surprisingly, published information on speech intelligibility in hospitals is extremely limited. In this study, speech intelligibility measurements and occupant evaluations were conducted in 20 units of five different U.S. hospitals. A variety of unit types and locations were studied. Results show that overall, no unit had "good" intelligibility based on the speech intelligibility index (SII > 0.75) and several locations found to have "poor" intelligibility (SII < 0.45). Further, occupied spaces were found to have 10%-15% lower SII than unoccupied spaces on average. Additionally, staff perception of communication problems at nurse stations was significantly correlated with SII ratings. In a targeted second phase, a unit treated with sound absorption had higher SII ratings for a larger percentage of time as compared to an identical untreated unit. Taken as a whole, the study provides an extensive baseline evaluation of speech intelligibility across a variety of hospitals and unit types, offers some evidence of the positive impact of absorption on intelligibility, and identifies areas for future research.

Conceptions of Intelligence and Giftedness.

ERIC Educational Resources Information Center

Bireley, Marlene

This paper presents a review of the major ideas on the nature of intelligence and giftedness. Especially noted are theories of Howard Gardner, Robert Sternberg, and J.P. Das. Gardner expanded traditional notions of intelligence to include such talents as spatial ability, musical intelligence, bodily-kinesthetic intelligence, and interpersonal and…

Modelling intelligent behavior

NASA Technical Reports Server (NTRS)

Green, H. S.; Triffet, T.

1993-01-01

An introductory discussion of the related concepts of intelligence and consciousness suggests criteria to be met in the modeling of intelligence and the development of intelligent materials. Methods for the modeling of actual structure and activity of the animal cortex have been found, based on present knowledge of the ionic and cellular constitution of the nervous system. These have led to the development of a realistic neural network model, which has been used to study the formation of memory and the process of learning. An account is given of experiments with simple materials which exhibit almost all properties of biological synapses and suggest the possibility of a new type of computer architecture to implement an advanced type of artificial intelligence.

Hydrologic Connectivity Estimated throughout the Nation's River Corridors

NASA Astrophysics Data System (ADS)

Hunt, R.; Borchardt, M. A.; Bradbury, K. R.

2014-12-01

Hydrologic connectivity is a key concept that integrates longitudinal transport in rivers with vertical and lateral exchanges between rivers and hyporheic zones, riparian wetlands, floodplains, and ponded aquatic ecosystems. Desirable levels of connectivity are thought to be associated with rivers that are well-connected longitudinally while also being well connected vertically and laterally with marginal waters where carbon and nutrients are efficiently transformed, and where aquatic organisms feed, or are reared, or take refuge during floods. But what is the proper balance between longitudinal and vertical and lateral connectivity? We took a step towards quantifying hydrologic connectivity using the model NEXSS (Gomez-Velez and Harvey, 2014, GRL) applied throughout the nation's rivers. NEXSS simulates vertical and lateral connectivity and compares it with longitudinal transport along the river's main axis. It uses as inputs measured network topology for first to eighth order channels, river hydraulic geometry, sediment grain size, bedform types and sizes, estimated hydraulic conductivity of sediments, and estimates of reaction rates such as denitrification. Results indicate that hyporheic flow is large enough to exchange a river's entire volume many times within a river network, which increases biogeochemical opportunities for nutrient processing and attenuation of contaminants. Also, the analysis demonstrated why and where (i.e., in which physiographic regions of the nation) are hyporheic flow and solute reactions the greatest. The cumulative influence of hydrologic connectivity on water quality is expressed by a dimensionless index of reaction significance. Our quantification of hydrologic connectivity adds a physical basis that supports water quality modeling, and also supports scientifically based prioritization of management actions (e.g. stream restoration) and may support other types of actions (e.g. legislative actions) to help conserve healthy functional

Hydrologic Connectivity Estimated throughout the Nation's River Corridors

NASA Astrophysics Data System (ADS)

Harvey, J. W.; Gomez-Velez, J. D.

2015-12-01

Hydrologic connectivity is a key concept that integrates longitudinal transport in rivers with vertical and lateral exchanges between rivers and hyporheic zones, riparian wetlands, floodplains, and ponded aquatic ecosystems. Desirable levels of connectivity are thought to be associated with rivers that are well-connected longitudinally while also being well connected vertically and laterally with marginal waters where carbon and nutrients are efficiently transformed, and where aquatic organisms feed, or are reared, or take refuge during floods. But what is the proper balance between longitudinal and vertical and lateral connectivity? We took a step towards quantifying hydrologic connectivity using the model NEXSS (Gomez-Velez and Harvey, 2014, GRL) applied throughout the nation's rivers. NEXSS simulates vertical and lateral connectivity and compares it with longitudinal transport along the river's main axis. It uses as inputs measured network topology for first to eighth order channels, river hydraulic geometry, sediment grain size, bedform types and sizes, estimated hydraulic conductivity of sediments, and estimates of reaction rates such as denitrification. Results indicate that hyporheic flow is large enough to exchange a river's entire volume many times within a river network, which increases biogeochemical opportunities for nutrient processing and attenuation of contaminants. Also, the analysis demonstrated why and where (i.e., in which physiographic regions of the nation) are hyporheic flow and solute reactions the greatest. The cumulative influence of hydrologic connectivity on water quality is expressed by a dimensionless index of reaction significance. Our quantification of hydrologic connectivity adds a physical basis that supports water quality modeling, and also supports scientifically based prioritization of management actions (e.g. stream restoration) and may support other types of actions (e.g. legislative actions) to help conserve healthy functional