The Case for an Open Data Model

DTIC Science & Technology

1998-08-01

Microsoft Word, Pagemaker, and Framemaker , and the drawing programs MacDraw, Adobe Illustrator, and Microsoft PowerPoint, use their own proprietary...needs a custom word counting tool, since no utility could work in Word and other word processors. Framemaker for Windows does not have a word counting...supplied in 2 At least none that I could find in Framemaker 5.5 for Windows. Another problem with

Cherokee Self-Reliance and Word-Use in Stories of Stress

PubMed Central

Lowe, John; Riggs, Cheryl; Henson, Jim; Liehr, Patricia

2009-01-01

This study examined the relationship between Cherokee self-reliance and related values expressed through word-use in stories of stress written by Cherokee adolescents. The overall aim of this pilot study was to test the feasibility of using cultural appropriate measurements for a larger intervention study of substance abuse prevention in Cherokee adolescents. A sample of 50 Cherokee adolescent senior high school students completed the Cherokee Self-Reliance Questionnaire and wrote their story of stress. The Linguistic Inquiry and Word Count (LIWC) program, a word-based computerized text analysis software, was used to report the percentage of words used in the selected word categories in relation to all the words used by a participant. Word-use from the stories of stress were found to correlate with Cherokee self-reliance. PMID:20669397

Cherokee self-reliance and word-use in stories of stress.

PubMed

Lowe, John; Riggs, Cheryl; Henson, Jim; Elder, Tribal; Liehr, Patricia

2009-01-01

This study examined the relationship between Cherokee self-reliance and related values expressed through word-use in stories of stress written by Cherokee adolescents. The overall aim of this pilot study was to test the feasibility of using cultural appropriate measurements for a larger intervention study of substance abuse prevention in Cherokee adolescents. A sample of 50 Cherokee adolescent senior high school students completed the Cherokee Self-Reliance Questionnaire and wrote their story of stress. The Linguistic Inquiry and Word Count (LIWC) program, a word-based computerized text analysis software, was used to report the percentage of words used in the selected word categories in relation to all the words used by a participant. Word-use from the stories of stress were found to correlate with Cherokee self-reliance.

A Spoken Word Count (Children--Ages 5, 6 and 7).

ERIC Educational Resources Information Center

Wepman, Joseph M.; Hass, Wilbur

Relatively little research has been done on the quantitative characteristics of children's word usage. This spoken count was undertaken to investigate those aspects of word usage and frequency which could cast light on lexical processes in grammar and verbal development in children. Three groups of 30 children each (boys and girls) from…

A new approach for measuring the work and quality of histopathology reporting.

PubMed

Sharma, Vijay; Davey, Jonathan G N; Humphreys, Catherine; Johnston, Peter W

2013-07-01

Cancer datasets drive report quality, but require more work to inform compliant reports. The aim of this study was to correlate the number of words with measures of quality, to examine the impact of the drive for improved quality on the workload of histopathology reporting over time. We examined the first 10 reports of colon, breast, renal, lung and ovarian carcinoma, melanoma resection, nodal lymphoma appendicitis and seborrhoeic keratosis (SK) issued in 1991, 2001 and 2011. Correlations were analysed using Pearson's partial correlation coefficients. Word count increased significantly over time for most specimen types examined. Word count almost always correlated with units of information, indicating that the word count was a good measure of the amount of information contained within the reports; this correlation was preserved following correction for the effect of time. A good correlation with compliance with cancer datasets was also observed, but was weakened or lost following correction for the increase in word count and units of information that occurred between time points. These data indicate that word count could potentially be used as a measure of information content if its integrity and usefulness are continuously validated. Further prospective studies are required to assess and validate this approach. © 2013 John Wiley & Sons Ltd.

How much is too much? The effects of information quantity on crowdfunding performance.

PubMed

Moy, Naomi; Chan, Ho Fai; Torgler, Benno

2018-01-01

We explore the effects of the quantity of information on the tendency to contribute to crowdfunding campaigns. Using the crowdfunding platform Kickstarter, we analyze the campaign descriptions and the performance of over 70,000 projects. We look empirically at the effect of information quantity (word count) on funding success (as measure by amount raised and number of backers). Within this empirical approach, we test whether an excessive amount of information will affect funding success. To do so, we test for the non-linearity (quadratic) effect of our independent variable (word count) using regression analysis. Consistent with the hypothesis that excess information will negatively affect funds raised and number of contributors, we observe a consistent U-shaped relationship between campaign text length and overall success which suggest that an optimal number of words exists within crowdfunding texts and that going over this point will reduce a project's chance of fundraising success.

How much is too much? The effects of information quantity on crowdfunding performance

PubMed Central

2018-01-01

We explore the effects of the quantity of information on the tendency to contribute to crowdfunding campaigns. Using the crowdfunding platform Kickstarter, we analyze the campaign descriptions and the performance of over 70,000 projects. We look empirically at the effect of information quantity (word count) on funding success (as measure by amount raised and number of backers). Within this empirical approach, we test whether an excessive amount of information will affect funding success. To do so, we test for the non-linearity (quadratic) effect of our independent variable (word count) using regression analysis. Consistent with the hypothesis that excess information will negatively affect funds raised and number of contributors, we observe a consistent U-shaped relationship between campaign text length and overall success which suggest that an optimal number of words exists within crowdfunding texts and that going over this point will reduce a project’s chance of fundraising success. PMID:29538371

Why is number word learning hard? Evidence from bilingual learners.

PubMed

Wagner, Katie; Kimura, Katherine; Cheung, Pierina; Barner, David

2015-12-01

Young children typically take between 18 months and 2 years to learn the meanings of number words. In the present study, we investigated this developmental trajectory in bilingual preschoolers to examine the relative contributions of two factors in number word learning: (1) the construction of numerical concepts, and (2) the mapping of language specific words onto these concepts. We found that children learn the meanings of small number words (i.e., one, two, and three) independently in each language, indicating that observed delays in learning these words are attributable to difficulties in mapping words to concepts. In contrast, children generally learned to accurately count larger sets (i.e., five or greater) simultaneously in their two languages, suggesting that the difficulty in learning to count is not tied to a specific language. We also replicated previous studies that found that children learn the counting procedure before they learn its logic - i.e., that for any natural number, n, the successor of n in the count list denotes the cardinality n+1. Consistent with past studies, we found that children's knowledge of successors is first acquired incrementally. In bilinguals, we found that this knowledge exhibits item-specific transfer between languages, suggesting that the logic of the positive integers may not be stored in a language-specific format. We conclude that delays in learning the meanings of small number words are mainly due to language-specific processes of mapping words to concepts, whereas the logic and procedures of counting appear to be learned in a format that is independent of a particular language and thus transfers rapidly from one language to the other in development. Copyright © 2015. Published by Elsevier Inc.

The Fallacy of Word-Counts.

ERIC Educational Resources Information Center

Engels, L.K.

1968-01-01

The greatest fallacy of word counts, the author maintains, lies in the fact that advocates of frequency lists stress the high percentage without telling the whole truth. It has become common to pretend that a frequency list of 3,000 words covers 95 percent of the language, that it enables a person to speak and understand a foreign language by…

Functional MRI study of specific animal phobia using an event-related emotional counting stroop paradigm.

PubMed

Britton, Jennifer C; Gold, Andrea L; Deckersbach, Thilo; Rauch, Scott L

2009-01-01

Emotional interference tasks may be useful in probing anterior cingulate cortex (ACC) function to understand abnormal attentional study in individuals with specific phobia. In a 3 T functional MRI study, individuals with specific phobias of the animal subtype (SAP, n=12) and healthy comparison (HC) adults (n=12) completed an event-related emotional counting Stroop task. Individuals were presented phobia-related, negative, and neutral words and were instructed to report via button press the number of words displayed on each trial. Compared to the HC group, the SAP group exhibited greater rostral ACC activation (i.e., greater response to phobia-related words than neutral words). In this same contrast, HCs exhibited greater right amygdala and posterior insula activations as well as greater thalamic deactivation than the SAP group. Both groups exhibited anterior cingulate, dorsomedial prefrontal cortex, inferior frontal gyrus/insula, and amygdala activations as well as thalamic deactivation. Psychophysiological interaction analysis highlighted a network of activation in these regions in response to phobia-related words in the SAP group. Taken together, these findings implicate a circuit of dysfunction, which is linked to attention abnormalities in individuals with SAP.

Linguistic Changes in Expressive Writing Predict Psychological Outcomes in Women With History of Childhood Sexual Abuse and Adult Sexual Dysfunction

PubMed Central

Pulverman, Carey S.; Lorenz, Tierney A.; Meston, Cindy M.

2015-01-01

An expressive writing treatment was recently reported to reduce depressive symptoms and improve sexual function and satisfaction in a sample of female survivors of childhood sexual abuse (Meston, Lorenz, & Stephenson, 2013). We conducted a linguistic analysis of this data to determine whether pre-to posttreatment changes in participants’ language use were associated with the improvements in sexuality and depression. Linguistic Inquiry and Word Count (LIWC), a program that counts the use of word categories within a text, was used to evaluate the impact of several word categories, previously associated with changes in mental health (Frattaroli, 2006), and shown to differ between childhood sexual abuse survivors and nonabused women (Lorenz & Meston, 2012), on treatment outcomes. A reduction in the use of the word “I” and an increase in positive emotion words were associated with decreased depression symptoms. A reduction in the use of “I” and negative emotion words were associated with improvement in sexual function and sexual satisfaction. The findings suggest that, because language may serve as an implicit measure of depression and sexual health, monitoring language changes during treatment may provide a reliable indicator of treatment response free of the biases of traditional self-report assessments. PMID:25793593

Suicidal traits in Marilyn Monroe's Fragments: an LIWC analysis.

PubMed

Fernández-Cabana, M; García-Caballero, A; Alves-Pérez, M T; García-García, M J; Mateos, R

2013-01-01

Linguistic inquiry and word count (LIWC), a computerized method for text analysis, is often used to examine suicide writings in order to characterize the quantitative linguistic features of suicidal texts. To analyze texts compiled in Marilyn Monroe's Fragments using LIWC, in order to explore the use of different linguistic categories in her narrative over the years. Selected texts were grouped into four periods of similar word count and processed with LIWC. Spearman's rank correlation was used to assess changes in language use across the documents over time. The Kruskal-Wallis test was applied to compare means between periods and for each of the 80 LIWC output scores. Significant differences (p < .05) were found in 11 categories, the most relevant being a progressive decrease in the use of negative emotion words, a reduction in the use of long words in the third period, and an increase in the proportion of personal pronouns used as Monroe approached the time of her death. The consistently elevated usage of first-person personal singular pronouns and the consistently diminished usage of first-person personal plural pronouns are in line with previous studies linking this pattern with a low level of social integration, which has been related to suicide according to different theories.

The emotional counting Stroop: a task for assessing emotional interference during brain imaging.

PubMed

Whalen, Paul J; Bush, George; Shin, Lisa M; Rauch, Scott L

2006-01-01

The emotional counting Stroop (ecStroop) is an emotional variant of the counting Stroop. Both of these tasks require a motor response instead of a spoken response for the purpose of minimizing head movement during functional MRI (fMRI). During this task, subjects report, by button press, the number of words (1-4) that appear on a screen, regardless of word meaning. Neutral word-control trials contain common words (e.g., 'cabinet' written three times), while interference trials contain emotional words (e.g., 'murder' written three times). The degree to which this task represents a true 'Stroop' interference task, in the sense that emotional words will increase motor-response times compared with neutral words, depends upon the subjects of the study and the words that are presented. Much research on the emotional Stroop task demonstrates that interference effects are observed in psychopathological groups in response to words that are specific to their disorder, and in normal subjects when the words are related to current concerns endorsed by them. The ecStroop task described here will produce reaction time-interference effects that are comparable to the traditional color-naming emotional Stroop. This protocol can be completed in approximately 20 min per subject. The protocol described here employs neutral words and emotional words that include general-negative words, as well as words specific to combat-related trauma. However, this protocol is amenable to any emotional word lists.

Linguistic Indicators of Pain Catastrophizing in Patients With Chronic Musculoskeletal Pain.

PubMed

Junghaenel, Doerte U; Schneider, Stefan; Broderick, Joan E

2017-05-01

The present study examined markers of pain catastrophizing in the word use of patients with chronic pain. Patients (N = 71) completed the Pain Catastrophizing Scale and wrote about their life with pain. Quantitative word count analysis examined whether the essays contained linguistic indicators of catastrophizing. Bivariate correlations showed that catastrophizing was associated with greater use of first person singular pronouns, such as "I" (r = .27, P ≤ .05) and pronouns referencing other people (r = .28, P ≤ .05). Catastrophizing was further significantly associated with greater use of sadness (r = .35, P ≤ .01) and anger (r = .30, P ≤ .05) words. No significant relationships with positive emotion and cognitive process words were evident. Controlling for patients' engagement in the writing task, gender, age, pain intensity, and neuroticism in multiple regression, the linguistic categories together uniquely explained 13.6% of the variance in catastrophizing (P ≤ .001). First person singular pronouns (β = .24, P ≤ .05) and words relating to sadness (β = .25, P ≤ .05) were significant, and pronouns referencing other people (β = .19, P ≤ .10) were trending. The results suggest that pain catastrophizing is associated with a "linguistic fingerprint" that can be discerned from patients' natural word use. Quantitative word count analysis examined whether pain catastrophizing is reflected in patients' written essays about living with pain. Catastrophizing was associated with more first person singular pronouns, more pronouns referencing other people, and more expressions of sadness and anger. The results can help understand how catastrophizing translates into communicative behaviors. Copyright © 2017 American Pain Society. Published by Elsevier Inc. All rights reserved.

Embedding Number-Combinations Practice Within Word-Problem Tutoring

PubMed Central

Powell, Sarah R.; Fuchs, Lynn S.; Fuchs, Douglas

2012-01-01

Two aspects of mathematics with which students with mathematics learning difficulty (MLD) often struggle are word problems and number-combination skills. This article describes a math program in which students receive instruction on using algebraic equations to represent the underlying problem structure for three word-problem types. Students also learn counting strategies for answering number combinations that they cannot retrieve from memory. Results from randomized-control trials indicated that embedding the counting strategies for number combinations produces superior word-problem and number-combination outcomes for students with MLD beyond tutoring programs that focus exclusively on number combinations or word problems. PMID:22661880

Embedding Number-Combinations Practice Within Word-Problem Tutoring.

PubMed

Powell, Sarah R; Fuchs, Lynn S; Fuchs, Douglas

2010-09-01

Two aspects of mathematics with which students with mathematics learning difficulty (MLD) often struggle are word problems and number-combination skills. This article describes a math program in which students receive instruction on using algebraic equations to represent the underlying problem structure for three word-problem types. Students also learn counting strategies for answering number combinations that they cannot retrieve from memory. Results from randomized-control trials indicated that embedding the counting strategies for number combinations produces superior word-problem and number-combination outcomes for students with MLD beyond tutoring programs that focus exclusively on number combinations or word problems.

Learning to count begins in infancy: evidence from 18 month olds' visual preferences.

PubMed

Slaughter, Virginia; Itakura, Shoji; Kutsuki, Aya; Siegal, Michael

2011-10-07

We used a preferential looking paradigm to evaluate infants' preferences for correct versus incorrect counting. Infants viewed a video depicting six fish. In the correct counting sequence, a hand pointed to each fish in turn, accompanied by verbal counting up to six. In the incorrect counting sequence, the hand moved between two of the six fish while there was still verbal counting to six, thereby violating the one-to-one correspondence principle of correct counting. Experiment 1 showed that Australian 18 month olds, but not 15 month olds, significantly preferred to watch the correct counting sequence. In experiment 2, Australian infants' preference for correct counting disappeared when the count words were replaced by beeps or by Japanese count words. In experiment 3, Japanese 18 month olds significantly preferred the correct counting video only when counting was in Japanese. These results show that infants start to acquire the abstract principles governing correct counting prior to producing any counting behaviour.

Learning to count begins in infancy: evidence from 18 month olds' visual preferences

PubMed Central

Slaughter, Virginia; Itakura, Shoji; Kutsuki, Aya; Siegal, Michael

2011-01-01

We used a preferential looking paradigm to evaluate infants' preferences for correct versus incorrect counting. Infants viewed a video depicting six fish. In the correct counting sequence, a hand pointed to each fish in turn, accompanied by verbal counting up to six. In the incorrect counting sequence, the hand moved between two of the six fish while there was still verbal counting to six, thereby violating the one-to-one correspondence principle of correct counting. Experiment 1 showed that Australian 18 month olds, but not 15 month olds, significantly preferred to watch the correct counting sequence. In experiment 2, Australian infants' preference for correct counting disappeared when the count words were replaced by beeps or by Japanese count words. In experiment 3, Japanese 18 month olds significantly preferred the correct counting video only when counting was in Japanese. These results show that infants start to acquire the abstract principles governing correct counting prior to producing any counting behaviour. PMID:21325331

Are implicit motives revealed in mere words? Testing the marker-word hypothesis with computer-based text analysis

PubMed Central

Schultheiss, Oliver C.

2013-01-01

Traditionally, implicit motives (i.e., non-conscious preferences for specific classes of incentives) are assessed through semantic coding of imaginative stories. The present research tested the marker-word hypothesis, which states that implicit motives are reflected in the frequencies of specific words. Using Linguistic Inquiry and Word Count (LIWC; Pennebaker et al., 2001), Study 1 identified word categories that converged with a content-coding measure of the implicit motives for power, achievement, and affiliation in picture stories collected in German and US student samples, showed discriminant validity with self-reported motives, and predicted well-validated criteria of implicit motives (gender difference for the affiliation motive; in interaction with personal-goal progress: emotional well-being). Study 2 demonstrated LIWC-based motive scores' causal validity by documenting their sensitivity to motive arousal. PMID:24137149

Language and hope in schizophrenia-spectrum disorders.

PubMed

Bonfils, Kelsey A; Luther, Lauren; Firmin, Ruth L; Lysaker, Paul H; Minor, Kyle S; Salyers, Michelle P

2016-11-30

Hope is integral to recovery for those with schizophrenia. Considering recent advancements in the examination of clients' lexical qualities, we were interested in how clients' words reflect hope. Using computerized lexical analysis, we examined social, emotion, and future words' relations to hope and its pathways and agency components. Forty-five clients provided detailed narratives about their life and mental illness. Transcripts were analyzed using the Linguistic Inquiry and Word Count program (LIWC), which assigns words to categories (e.g., "anxiety") based on a pre-existing dictionary. Correlations and linear multiple regression were used to examine relationships between lexical qualities and hope. Hope and its subcomponents had significant or trending bivariate correlations in expected directions with several emotion-related word categories (anger and sadness) but were not associated with expected categories such as social words, positive emotions, optimism, achievement, and future words. In linear multiple regressions, no LIWC variable significantly predicted hope agency, but anger words significantly predicted both total hope and hope pathways. Our findings indicate lexical analysis tools can be used to investigate recovery-oriented concepts such as hope, and results may inform clinical practice. Future research should aim to replicate our findings in larger samples. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Counting digital filters

NASA Technical Reports Server (NTRS)

Zohar, S. (Inventor)

1973-01-01

Several embodiments of a counting digital filter of the non-recursive type are disclosed. In each embodiment two registers, at least one of which is a shift register, are included. The shift register received j sub x-bit data input words bit by bit. The kth data word is represented by the integer.

Treating conduct disorder: An effectiveness and natural language analysis study of a new family-centred intervention program.

PubMed

Stevens, Kimberly A; Ronan, Prof Kevin; Davies, Gene

2017-05-01

This paper reports on a new family-centred, feedback-informed intervention focused on evaluating therapeutic outcomes and language changes across treatment for conduct disorder (CD). The study included 26 youth and families from a larger randomised, controlled trial (Ronan et al., in preparation). Outcome measures reflected family functioning/youth compliance, delinquency, and family goal attainment. First- and last-treatment session audio files were transcribed into more than 286,000 words and evaluated through the Linguistic Inquiry and Word Count Analysis program (Pennebaker et al., 2007). Significant outcomes across family functioning/youth compliance, delinquency, goal attainment and word usage reflected moderate-strong effect sizes. Benchmarking findings also revealed reduced time of treatment delivery compared to a gold standard approach. Linguistic analysis revealed specific language changes across treatment. For caregivers, increased first person, action-oriented, present tense, and assent type words and decreased sadness words were found; for youth, significant reduction in use of leisure words. This study is the first using lexical analyses of natural language to assess change across treatment for conduct disordered youth and families. Such findings provided strong support for program tenets; others, more speculative support. Copyright © 2016. Published by Elsevier B.V.

A preliminary study of subjective frequency estimates of words spoken in Cantonese.

PubMed

Yip, M C

2001-06-01

A database is presented of the subjective frequency estimates for a set of 30 Chinese homophones. The estimates are based on analysis of responses from a simple listening task by 120 University students. On the listening task, they are asked to mention the first meaning thought of upon hearing a Chinese homophone by writing down the corresponding Chinese characters. There was correlation of .66 between the frequency of spoken and written words, suggesting distributional information about the lexical representations is generally independent of modality. These subjective frequency counts should be useful in the construction of material sets for research on word recognition using spoken Chinese (Cantonese).

Java vs. Python Coverage of Introductory Programming Concepts: A Textbook Analysis

ERIC Educational Resources Information Center

McMaster, Kirby; Sambasivam, Samuel; Rague, Brian; Wolthuis, Stuart

2017-01-01

In this research, we compare two languages, Java and Python, by performing a content analysis of words in textbooks that describe important programming concepts. Our goal is to determine which language has better textbook support for teaching introductory programming courses. We used the TextSTAT program to count how often our list of concept…

Carving up Word Meaning: Portioning and Grinding

ERIC Educational Resources Information Center

Frisson, S.; Frazier, L.

2005-01-01

Two eye-tracking experiments investigated the processing of mass nouns used as count nouns and count nouns used as mass nouns. Following Copestake and Briscoe (1995), the basic or underived sense of a word was treated as the input to a derivational rule (''grinding'' or ''portioning'') which produced the derived sense as output. It was…

When is four far more than three? Children's generalization of newly acquired number words.

PubMed

Huang, Yi Ting; Spelke, Elizabeth; Snedeker, Jesse

2010-04-01

What is the relationship between children's first number words and number concepts? We used training tasks to explore children's interpretation of number words as they acquired the words' meanings. Children who had mastered the meanings of only the first two or three number words were systematically provided with varied input on the next word-to-quantity mapping, and their extension of the newly trained word was assessed across a variety of test items. Children who had already mastered number words to three generalized training on four to new objects and nouns, such that their representation of the newly learned number was approximate. In contrast, children who had mastered only one and two learned to apply three reliably within a single count-noun context (e.g., three dogs), but did not generalize training to new objects labeled with different nouns (e.g., three cows). Both findings suggest that children fail to map newly learned words in their counting routine to the fully abstract concepts of natural numbers.

Children acquire the later-greater principle after the cardinal principle

PubMed Central

Le Corre, Mathieu

2014-01-01

Many have proposed that the acquisition of the cardinal principle is a result of the discovery of the numerical significance of the order of the number words in the count list. However, this need not be the case. Indeed, the cardinal principle does not state anything about the numerical significance of the order of the number words. It only states that the last word of a correct count denotes the numerosity of the counted set. Here we test whether the acquisition of the cardinal principle involves the discovery of the later-greater principle – i.e., that the order of the number words corresponds to the relative size of the numerosities they denote. Specifically, we tested knowledge of verbal numerical comparisons (e.g., Is “ten” more than “six”?) in children who had recently learned the cardinal principle. We find that these children can compare number words between “six” and “ten” only if they have mapped them onto non-verbal representations of numerosity. We suggest that this means that the acquisition of the cardinal principle does not involve the discovery of the correspondence between the order of the number words and the relative size of the numerosities they denote. PMID:24372336

Children acquire the later-greater principle after the cardinal principle.

PubMed

Le Corre, Mathieu

2014-06-01

Many have proposed that the acquisition of the cardinal principle (CP) is a result of the discovery of the numerical significance of the order of the number words in the count list. However, this need not be the case. Indeed, the CP does not state anything about the numerical significance of the order of the number words. It only states that the last word of a correct count denotes the numerosity of the counted set. Here, we test whether the acquisition of the CP involves the discovery of the later-greater principle - that is, that the order of the number words corresponds to the relative size of the numerosities they denote. Specifically, we tested knowledge of verbal numerical comparisons (e.g., Is 'ten' more than 'six'?) in children who had recently learned the CP. We find that these children can compare number words between 'six' and 'ten' only if they have mapped them onto non-verbal representations of numerosity. We suggest that this means that the acquisition of the CP does not involve the discovery of the correspondence between the order of the number words and the relative size of the numerosities they denote. © 2013 The British Psychological Society.

The Nature of Indexing: How Humans and Machines Analyze Messages and Texts for Retrieval. Part II: Machine Indexing, and the Allocation of Human versus Machine Effort.

ERIC Educational Resources Information Center

Anderson, James D.; Perez-Carballo, Jose

2001-01-01

Discussion of human intellectual indexing versus automatic indexing focuses on automatic indexing. Topics include keyword indexing; negative vocabulary control; counting words; comparative counting and weighting; stemming; words versus phrases; clustering; latent semantic indexing; citation indexes; bibliographic coupling; co-citation; relevance…

Does Learning to Count Involve a Semantic Induction?

ERIC Educational Resources Information Center

Davidson, Kathryn; Eng, Kortney; Barner, David

2012-01-01

We tested the hypothesis that, when children learn to correctly count sets, they make a semantic induction about the meanings of their number words. We tested the logical understanding of number words in 84 children that were classified as "cardinal-principle knowers" by the criteria set forth by Wynn (1992). Results show that these children often…

Copy Counts

ERIC Educational Resources Information Center

Beaumont, Lee R.

1970-01-01

The level of difficulty of straight copy, which is used to measure typewriting speed, is influenced by syllable intensity (the average number of syllables per word), stroke intensity (average number of strokes per word), and high-frequency words. (CH)

Words in Context: The Effects of Length, Frequency, and Predictability on Brain Responses During Natural Reading

PubMed Central

Schuster, Sarah; Hawelka, Stefan; Hutzler, Florian; Kronbichler, Martin; Richlan, Fabio

2016-01-01

Word length, frequency, and predictability count among the most influential variables during reading. Their effects are well-documented in eye movement studies, but pertinent evidence from neuroimaging primarily stem from single-word presentations. We investigated the effects of these variables during reading of whole sentences with simultaneous eye-tracking and functional magnetic resonance imaging (fixation-related fMRI). Increasing word length was associated with increasing activation in occipital areas linked to visual analysis. Additionally, length elicited a U-shaped modulation (i.e., least activation for medium-length words) within a brain stem region presumably linked to eye movement control. These effects, however, were diminished when accounting for multiple fixation cases. Increasing frequency was associated with decreasing activation within left inferior frontal, superior parietal, and occipito-temporal regions. The function of the latter region—hosting the putative visual word form area—was originally considered as limited to sublexical processing. An exploratory analysis revealed that increasing predictability was associated with decreasing activation within middle temporal and inferior frontal regions previously implicated in memory access and unification. The findings are discussed with regard to their correspondence with findings from single-word presentations and with regard to neurocognitive models of visual word recognition, semantic processing, and eye movement control during reading. PMID:27365297

WORD FREQUENCY IN THE MODERN GERMAN SHORT STORY. FINAL REPORT.

ERIC Educational Resources Information Center

SCHERER, GEORGE A.; AND OTHERS

A LIST OF THE MOST FREQUENTLY USED WORDS IN MODERN GERMAN SHORT STORIES WAS COMPILED. AN ANTHOLOGY OF 702 RECENTLY PUBLISHED, GERMAN SHORT STORIES WAS OBTAINED AND USED FOR A WORD COUNT, INVOLVING THE RANDOM SELECTION OF 4 WORDS IN EVERY 100-WORD PASSAGE. TWO INDEPENDENT RANDOM SAMPLES OF ABOUT 80,000 WORDS EACH WERE DRAWN FROM NEARLY 2 MILLION…

Word Frequency Analysis. MOS: 62J. Skill Levels 1 & 2.

DTIC Science & Technology

1981-05-01

WCRDI COUNT2 W OR u, CO UIT 3 WORD 3 COUNT’. kCRD4 I CELL 9 CLNTER I CERERLINE t CENTRALLY 2 C [JTP I FGAL 2 CZRT..IN I CESSIVE 46 LFI’ 14 C H%1% ~ 4...4 .4* 4 AD ,G4 ANGLI 4 fC S 0A 4 r. 5 54b d204 4 BE- J 4OCK4 ECAGNE 4 TTA .(.KFTS 4 B𔃻E.KER 4 44 CC!’PPCT 4 13FL*.~If 4 CCLC CTwV7CCC~L< EL4 CO 4 CE...t CI RE I CARTcUL I CAR7~ I 3 CARRY I CAL 7I C!! 11 E t C., TFPS I CA~TCH I C4TEO I co usIN Kr I CL TC1 I CELL 1CTNlERL!NEz I ’ENI P.LIY Ic3VEI

'No daddy', 'A kind of daddy': words used by donor conceived children and (aspiring) parents to refer to the sperm donor.

PubMed

Provoost, Veerle; Bernaerdt, Jodie; Van Parys, Hanna; Buysse, Ann; De Sutter, Petra; Pennings, Guido

2018-04-01

Research has shown that the recipients of donor sperm can experience difficulties finding appropriate language to refer to the donor. Based on two qualitative analysis techniques, namely word count and empirical discourse analysis, we studied the words used to refer to the donor in heterosexual and lesbian (aspiring) parents and in donor conceived children. Findings show that the words used in these households are highly diverse and have at least four different interlinked functions: (1) to position the donor in relation to the nuclear family; (2) to safeguard the role of the social parent; (3) to clarify family structure; and (4) to present a positive picture of the donor. Both parents and children consciously reflect on what words to use to refer to the donor. Although parents try to keep words like 'father' and 'daddy' out of the family narrative, children use these words. These findings show that it is important for healthcare personnel and policy makers to reflect on the careful use of terminology when they address questions around sperm donation because the terminology invokes specific meanings that have an effect on how the recipients and their children perceive the role of the donor.

Grey Parrot Number Acquisition: The Inference of Cardinal Value from Ordinal Position on the Numeral List

ERIC Educational Resources Information Center

Pepperberg, Irene M.; Carey, Susan

2012-01-01

A Grey parrot ("Psittacus erithacus") had previously been taught to use English count words ("one" through "sih" [six]) to label sets of one to six individual items (Pepperberg, 1994). He had also been taught to use the same count words to label the Arabic numerals 1 through 6. Without training, he inferred the relationship between the Arabic…

Associations among Childhood Sexual Abuse, Language Use, and Adult Sexual Functioning and Satisfaction

ERIC Educational Resources Information Center

Lorenz, Tierney Ahrold; Meston, Cindy May

2012-01-01

Objectives: To better understand the link between childhood sexual abuse (CSA) and adult sexual functioning and satisfaction, we examined cognitive differences between women with (N = 128) and without (NSA, N = 99) CSA histories. Methods: We used the Linguistic Inquiry Word Count, a computerized text analysis program, to investigate language…

Scraping EDGAR with Python

ERIC Educational Resources Information Center

Ashraf, Rasha

2017-01-01

This article presents Python codes that can be used to extract data from Securities and Exchange Commission (SEC) filings. The Python program web crawls to obtain URL paths for company filings of required reports, such as Form 10-K. The program then performs a textual analysis and counts the number of occurrences of words in the filing that…

COMPUTER-AIDED WORD RESEARCH.

ERIC Educational Resources Information Center

SILIAKUS, H.J.

IN PREPARATION FOR THE DEVELOPMENT OF A GENERAL FREQUENCY WORD LIST IN GERMAN DESIGNED TO MEET THE NEEDS OF THE INTERMEDIATE AND ADVANCED LEVELS OF READING IN THE GERMAN CURRICULUM, A COMPUTER-BASED WORD COUNT WAS BEGUN IN AUSTRALIA'S UNIVERSITY OF ADELAIDE. USING MAGNETIC TAPES CONTAINING (1) A TEXT OF OVER 100,000 RUNNING WORDS, (2) 1,000 MOST…

Status Quo and Outlook of the Studies of Entrepreneurship Education in China: Statistics and Analysis Based on Papers Indexed in CSSCI (2004-2013)

ERIC Educational Resources Information Center

Xia, Tian; Shumin, Zhang; Yifeng, Wu

2016-01-01

We utilized cross tabulation statistics, word frequency counts, and content analysis of research output to conduct a bibliometric study, and used CiteSpace software to depict a knowledge map for research on entrepreneurship education in China from 2004 to 2013. The study shows that, in this duration, the study of Chinese entrepreneurship education…

A word-count approach to analyze linguistic patterns in the reflective writings of medical students.

PubMed

Lin, Chi-Wei; Lin, Meei-Ju; Wen, Chin-Chen; Chu, Shao-Yin

2016-01-01

Teaching reflection and administering reflective writing assignments to students are widely practiced and discussed in medical education and health professional education. However, little is known about how medical students use language to construct their narratives. Exploring students' linguistic patterns in their reflective writings can facilitate understanding the scope and facets of their reflections and their representational or communication approaches to share their experiences. Moreover, research findings regarding gender differences in language use are inconsistent. Therefore, we attempted to examine how females and males differ in their use of words in reflective writing within our research circumstance to detect the unique and gender-specific approaches to learning and their applications. We analyzed the linguistic profiles of psychological process categories in the reflective writings of medical students and examined the difference in word usage between male and female medical students. During the first year of a clinical rotation, 60 fifth-year medical students wrote reflective narratives regarding pediatric patients and the psychosocial challenges faced by the patients and their family members. The narratives were analyzed using the Chinese version of Linguistic Inquiry and Word Count (CLIWC), a text analysis software program. Multivariate procedures were applied for statistical analysis. Cognitive words were most pervasive, averaging 22.16%, whereas perceptual words (2.86%) were least pervasive. Female students used more words related to positive emotions and sadness than did male students. The male students exceeded the female students only in the space category. The major limitation of this study is that CLIWC cannot directly acquire contextual text meanings; therefore, depending on the research topic, further qualitative study of the given texts might be necessary. To enhance students' empathy toward the psychosocial issues faced by patients and their family members, students should be encouraged to explore the domain of psychological processes by identifying and expressing their affective and perceptual experiences. Researchers in future studies should use outcome measures such as self-awareness or empathy to determine the overall effectiveness of reflective writing and how changes in linguistic patterns affect such outcomes.

A word-count approach to analyze linguistic patterns in the reflective writings of medical students.

PubMed

Lin, Chi-Wei; Lin, Meei-Ju; Wen, Chin-Chen; Chu, Shao-Yin

2016-01-01

Background Teaching reflection and administering reflective writing assignments to students are widely practiced and discussed in medical education and health professional education. However, little is known about how medical students use language to construct their narratives. Exploring students' linguistic patterns in their reflective writings can facilitate understanding the scope and facets of their reflections and their representational or communication approaches to share their experiences. Moreover, research findings regarding gender differences in language use are inconsistent. Therefore, we attempted to examine how females and males differ in their use of words in reflective writing within our research circumstance to detect the unique and gender-specific approaches to learning and their applications. Methods We analyzed the linguistic profiles of psychological process categories in the reflective writings of medical students and examined the difference in word usage between male and female medical students. During the first year of a clinical rotation, 60 fifth-year medical students wrote reflective narratives regarding pediatric patients and the psychosocial challenges faced by the patients and their family members. The narratives were analyzed using the Chinese version of Linguistic Inquiry and Word Count (CLIWC), a text analysis software program. Multivariate procedures were applied for statistical analysis. Results Cognitive words were most pervasive, averaging 22.16%, whereas perceptual words (2.86%) were least pervasive. Female students used more words related to positive emotions and sadness than did male students. The male students exceeded the female students only in the space category. The major limitation of this study is that CLIWC cannot directly acquire contextual text meanings; therefore, depending on the research topic, further qualitative study of the given texts might be necessary. Conclusions To enhance students' empathy toward the psychosocial issues faced by patients and their family members, students should be encouraged to explore the domain of psychological processes by identifying and expressing their affective and perceptual experiences. Researchers in future studies should use outcome measures such as self-awareness or empathy to determine the overall effectiveness of reflective writing and how changes in linguistic patterns affect such outcomes.

Writing styles of a Korean sample by age: an exploratory study.

PubMed

Lee, Chang Hwan; Park, Jongmin; Park, Jaejin

2010-02-01

This descriptive study concerned whether language use differs across age groups of Korean participants. Language use by Koreans in their 20s, 40s, and 60s were compared using the Korean Linguistic Inquiry and Word Count. Analysis showed that Koreans in their 60s used as many phrases and morphemes per sentence as younger people, which reflects similar complexity of language. In addition, those in their 40s showed the strongest use of words related to emotion, cognition, work, and leisure. These results show interesting differences from studies conducted with Western subjects.

Quantitative corpus-based analysis of the chiropractic literature – a pilot study

PubMed Central

Millar, Neil; Budgell, Brian S.; Kwong, Alice

2011-01-01

In this pilot study, a collection of peer-reviewed articles from the Journal of the Canadian Chiropractic Association was analyzed by computer to identify the more commonly occurring words and phrases. The results were compared to a reference collection of general English in order to identify the vocabulary which is distinctive of chiropractic. From texts with a combined word count in excess of 280,000, it was possible to identify almost 2,500 words which were over-represented in the chiropractic literature and therefore likely to hold special importance within this domain. Additionally, readability statistics were calculated and suggest that the peer-reviewed chiropractic literature is approximately as challenging to read as that of nursing, public health and midwifery. Certain words widely considered to be of importance to the profession, for example “subluxation and adjustment,” were not particularly prevalent in the literature surveyed. PMID:21403783

Children's early reading vocabulary: description and word frequency lists.

PubMed

Stuart, Morag; Dixon, Maureen; Masterson, Jackie; Gray, Bob

2003-12-01

When constructing stimuli for experimental investigations of cognitive processes in early reading development, researchers have to rely on adult or American children's word frequency counts, as no such counts exist for English children. The present paper introduces a database of children's early reading vocabulary, for use by researchers and teachers. Texts from 685 books from reading schemes and story books read by 5-7 year-old children were used in the construction of the database. All words from the 685 books were typed or scanned into an Oracle database. The resulting up-to-date word frequency list of early print exposure in the UK is available in two forms from a website address given in this paper. This allows access to one list of the words ordered alphabetically and one list of the words ordered by frequency. We also briefly address some fundamental issues underlying early reading vocabulary (e.g., that it is heavily skewed towards low frequencies). Other characteristics of the vocabulary are then discussed. We hope the word frequency lists will be of use to researchers seeking to control word frequency, and to teachers interested in the vocabulary to which young children are exposed in their reading material.

Observational Word Learning: Beyond Propose-But-Verify and Associative Bean Counting.

PubMed

Roembke, Tanja; McMurray, Bob

2016-04-01

Learning new words is difficult. In any naming situation, there are multiple possible interpretations of a novel word. Recent approaches suggest that learners may solve this problem by tracking co-occurrence statistics between words and referents across multiple naming situations (e.g. Yu & Smith, 2007), overcoming the ambiguity in any one situation. Yet, there remains debate around the underlying mechanisms. We conducted two experiments in which learners acquired eight word-object mappings using cross-situational statistics while eye-movements were tracked. These addressed four unresolved questions regarding the learning mechanism. First, eye-movements during learning showed evidence that listeners maintain multiple hypotheses for a given word and bring them all to bear in the moment of naming. Second, trial-by-trial analyses of accuracy suggested that listeners accumulate continuous statistics about word/object mappings, over and above prior hypotheses they have about a word. Third, consistent, probabilistic context can impede learning, as false associations between words and highly co-occurring referents are formed. Finally, a number of factors not previously considered in prior analysis impact observational word learning: knowledge of the foils, spatial consistency of the target object, and the number of trials between presentations of the same word. This evidence suggests that observational word learning may derive from a combination of gradual statistical or associative learning mechanisms and more rapid real-time processes such as competition, mutual exclusivity and even inference or hypothesis testing.

Validation of mobile phone text messages for nicotine and tobacco risk communication among college students: A content analysis.

PubMed

Khalil, Georges E; Calabro, Karen S; Crook, Brittani; Machado, Tamara C; Perry, Cheryl L; Prokhorov, Alexander V

2018-02-01

In the United States, young adults have the highest prevalence of tobacco use. The dissemination of mobile phone text messages is a growing strategy for tobacco risk communication among young adults. However, little has been done concerning the design and validation of such text messages. The Texas Tobacco Center of Regulatory Science (Texas-TCORS) has developed a library of messages based on framing (gain- or loss-framed), depth (simple or complex) and appeal (emotional or rational). This study validated the library based on depth and appeal, identified text messages that may need improvement, and explored new themes. The library formed the study sample (N=976 messages). The Linguistic Inquiry and Word Count (LIWC) software of 2015 was used to code for word count, word length and frequency of emotional and cognitive words. Analyses of variance, logistic regression and scatter plots were conducted for validation. In all, 874 messages agreed with LIWC-coding. Several messages did not agree with LIWC. Ten messages designed to be complex indicated simplicity, while 51 messages designed to be rational exhibited no cognitive words. New relevant themes were identified, such as health (e.g. 'diagnosis', 'cancer'), death (e.g. 'dead', 'lethal') and social connotations (e.g. 'parents', 'friends'). Nicotine and tobacco researchers can safely use, for young adults, messages from the Texas-TCORS library to convey information in the intended style. Future work may expand upon the new themes. Findings will be utilized to develop new campaigns, so that risks of nicotine and tobacco products can be widely disseminated.

Counting ability in Down syndrome: The comprehension of the one-to-one correspondence principle and the role of receptive vocabulary.

PubMed

Abreu-Mendoza, Roberto A; Arias-Trejo, Natalia

2017-10-01

The authors investigated whether children with Down's syndrome (DS) who have not started to produce number words understand the one-to-one correspondence principle (Experiment 1), and they looked at the relationship between number word knowledge and receptive vocabulary (Experiment 2). Sixteen children with DS who did not recite the count list participated in Experiment 1, along with 2 comparison groups: 1 of 16 children with DS who recited up to 10, paired by chronological age, and another of 16 typically developing children paired by their ability to recite the list. The understanding of the principle was evaluated by a preferential looking task. Children saw 1 of 2 conditions. In the number condition, they heard number words and in the beep condition they heard computerized beeps. In both conditions, children saw videos depicting counting events that were principle-consistent or principle-inconsistent. Experiment 2 evaluated 25 children with DS using the Give-a-Number task and the Receptive Vocabulary subtest of the Wechsler Preschool and Primary Scale of Intelligence-III. In Experiment 1, children in the number condition preferred principle-consistent videos, independent of their ability to recite the count list. Experiment 2 showed a strong correlation between number word knowledge and receptive vocabulary scores, independent of chronological age. The results suggest that the difficulty of children with DS in acquiring counting ability might not reflect a lack of understanding of the one-to-one correspondence principle, but might instead be related to vocabulary development. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

Do students' and authors' genders affect evaluations? A linguistic analysis of Medical Student Performance Evaluations.

PubMed

Isaac, Carol; Chertoff, Jocelyn; Lee, Barbara; Carnes, Molly

2011-01-01

Recent guidelines for the Medical Student Performance Evaluation (MSPE) have standardized the "dean's letter." The authors examined MSPEs for linguistic differences according to student or author gender. This 2009 study analyzed 297 MSPEs for 227 male and 70 female medical students applying to a diagnostic radiology residency program. Text analysis software identified word counts, categories, frequencies, and contexts; factor analysis detected patterns of word categories in student-author gender pairings. Analyses showed a main effect for student gender (P=.046) and a group difference for the author-student gender combinations (P=.048). Female authors of male student MSPEs used the fewest "positive emotion" words (P=.006). MSPEs by male authors were shorter than those by females (P=.014). MSPEs for students ranked in the National Resident Matching Program contained more "standout" (P=.002) and "positive emotion" (P=.001) words. There were no differences in the author-gender pairs in the proportion of students ranked, although predominant word categories differed by author and student gender. Factor analysis revealed differences among the author-student groups in patterns of correlations among word categories. MSPEs differed slightly but significantly by student and author gender. These differences may derive from societal norms for male and female behaviors and the subsequent linguistic interpretation of these behaviors, which itself may be colored by the observer's gender. Although the differences in MSPEs did not seem to influence students' rankings, this work underscores the need for awareness of the complex effects of gender in evaluating students and guiding their specialty choices.

Is It Counting, or Is It Adding?

ERIC Educational Resources Information Center

Eisenhardt, Sara; Fisher, Molly H.; Thomas, Jonathan; Schack, Edna O.; Tassell, Janet; Yoder, Margaret

2014-01-01

The Common Core State Standards for Mathematics (CCSSI 2010) expect second grade students to "fluently add and subtract within 20 using mental strategies" (2.OA.B.2). Most children begin with number word sequences and counting approximations and then develop greater skill with counting. But do all teachers really understand how this…

Pairing Words with Syntactic Frames: Syntax, Semantics, and Count-Mass Usage

ERIC Educational Resources Information Center

Raymond, William D.; Healy, Alice F.; McDonnel, Samantha J.

2011-01-01

Two experiments examined English speakers' choices of count or mass compatible frames for nouns varying in imageability (concrete, abstract) and noun class (count, mass). Pairing preferences with equative ("much/many") and non-equative ("less/fewer") constructions were compared for groups of teenagers, young adults, and older adults. Deviations…

Content Involving Scientists in Selected Secondary School Science Textbooks of New and Traditional Curricula Published During 1957-1970.

ERIC Educational Resources Information Center

Reeder, Robert Edward

Forty-five textbooks of biology, chemistry, and physics (new and traditional curricula) were analyzed for the extent to which they devoted words to scientists. Each scientist named in each text was identified, and word counts were established for the total words devoted to each scientist and the number of these words which were humanistic by the…

Differential lexical correlates of social cognition and metacognition in schizophrenia; a study of spontaneously-generated life narratives.

PubMed

Buck, Benjamin; Minor, Kyle S; Lysaker, Paul H

2015-04-01

Social cognition and metacognition have been identified as important cognitive domains in schizophrenia, which are separable from general neurocognition and predictive of functional and treatment outcomes. However, one challenge to improved models of schizophrenia has been the conceptual overlap between the two. One tool used in previous research to develop cognitive models of psychopathology is language analysis. In this article we aimed to clarify distinctions between social cognition and metacognition in schizophrenia using computerized language software. Fifty-eight (n=58) individuals with schizophrenia completed the Metacognitive Assessment Scale Abbreviated and measures of social cognition using the Hinting, Eyes, BLERT and Picture Arrangement test. A lexical analysis of participants' speech using Language Inquiry and Word Count software was conducted to examine relative frequencies of word types. Lexical characteristics were examined for their relationships to social cognition and metacognition. We found that lexical characteristics indicative of cognitive complexity were significantly related to level of metacognitive capacity while social cognition was related to second-person pronoun use, articles, and prepositions, and pronoun use overall. The relationships between lexical variables and metacognition persisted after controlling for demographics, verbal intelligence, and overall word count, but the same was not true for social cognition. Our findings provided support for the view that metacognition requires more synthetic and complex verbal and linguistic operations, while social cognition is associated with the representation and clear identification of others. Copyright © 2014 Elsevier Inc. All rights reserved.

Emotional expressiveness and avoidance in narratives of unaccompanied refugee minors

PubMed Central

Huemer, Julia; Nelson, Kristin; Karnik, Niranjan; Völkl-Kernstock, Sabine; Seidel, Stefan; Ebner, Nina; Ryst, Erika; Friedrich, Max; Shaw, Richard J.; Realubit, Cassey; Steiner, Hans; Skala, Katrin

2016-01-01

Objective The aim of this study was to examine a cohort of unaccompanied refugee minors (URMs) by means of psycholinguistic methods in order to obtain a more subtle picture of their degree of traumatization. Methods Twenty-eight participants were included in the Stress-Inducing Speech Task (SIST) consisting of a free association (FA) and a stress (STR) condition. Narratives were examined by means of (1) quantitative parameters (word count); (2) psycholinguistic variables (temporal junctures, TJs), narrative structure, referential activity (RA)—a measure of emotional expressivity; and (3) content analysis ratings. Results Word count was significantly lower than in age-matched norms. In the FA condition, TJs were lower, but in the STR condition, rates were comparable. RA was significantly higher in both conditions. Content analysis ratings showed that the experiences described by these youths were potentially traumatic in nature. Conclusions This pattern of narrative shows a mixture of fulfilling the task demand, while containing an emotionally charged narrative. Narrative structure was absent in the FA condition, but preserved in the STR condition, as URMs struggled with the description of non-normative events. This indicates that these youths have not yet emotionally dealt with and fully integrated their trauma experiences. PMID:26955827

The Internal Structure of "Chaos": Letter Category Determines Visual Word Perceptual Units

ERIC Educational Resources Information Center

Chetail, Fabienne; Content, Alain

2012-01-01

The processes and the cues determining the orthographic structure of polysyllabic words remain far from clear. In the present study, we investigated the role of letter category (consonant vs. vowels) in the perceptual organization of letter strings. In the syllabic counting task, participants were presented with written words matched for the…

Exploring Native and Non-Native Intuitions of Word Frequency.

ERIC Educational Resources Information Center

Schmitt, Norbert; Dunham, Bruce

1999-01-01

Asked native and nonnative speakers to give judgments of frequency for near synonyms in second-language lexical sets and compared those responses to modern corpus word counts. Native speakers were able to discern the core word in lexical sets either 77% or 85%, and nonnative speakers at 71% or 79%. (Author/VWL)

Children's Learning of Number Words in an Indigenous Farming-Foraging Group

ERIC Educational Resources Information Center

Piantadosi, Steven T.; Jara-Ettinger, Julian; Gibson, Edward

2014-01-01

We show that children in the Tsimane', a farming-foraging group in the Bolivian rain-forest, learn number words along a similar developmental trajectory to children from industrialized countries. Tsimane' children successively acquire the first three or four number words before fully learning how counting works. However, their learning is…

Sequence comparison alignment-free approach based on suffix tree and L-words frequency.

PubMed

Soares, Inês; Goios, Ana; Amorim, António

2012-01-01

The vast majority of methods available for sequence comparison rely on a first sequence alignment step, which requires a number of assumptions on evolutionary history and is sometimes very difficult or impossible to perform due to the abundance of gaps (insertions/deletions). In such cases, an alternative alignment-free method would prove valuable. Our method starts by a computation of a generalized suffix tree of all sequences, which is completed in linear time. Using this tree, the frequency of all possible words with a preset length L-L-words--in each sequence is rapidly calculated. Based on the L-words frequency profile of each sequence, a pairwise standard Euclidean distance is then computed producing a symmetric genetic distance matrix, which can be used to generate a neighbor joining dendrogram or a multidimensional scaling graph. We present an improvement to word counting alignment-free approaches for sequence comparison, by determining a single optimal word length and combining suffix tree structures to the word counting tasks. Our approach is, thus, a fast and simple application that proved to be efficient and powerful when applied to mitochondrial genomes. The algorithm was implemented in Python language and is freely available on the web.

106-17 Telemetry Standards Appendix A.3 ADARIO Data Block Field Definitions

DTIC Science & Technology

2017-07-01

A.3-14 4.7. Annotation Text ...significant bits (MSBs) of the word. The next sample is formatted into the next available MSBs and so on until the word is full . As an example, data...to 5) WC - Word count, an 11-bit binary value. WC is the number of full channel data words that should be in the nth channel packet. WC may range

High Five for Mathematics

ERIC Educational Resources Information Center

Looney, Susan; Carr, Kristen

2016-01-01

A first-grade teacher has students use their hands and fingers to engage in and develop understanding of counting, to combine groups to facilitate counting by fives and tens, and to describe their findings using words and equations.

Validation of mobile phone text messages for nicotine and tobacco risk communication among college students: A content analysis

PubMed Central

Khalil, Georges E.; Calabro, Karen S.; Crook, Brittani; Machado, Tamara C.; Perry, Cheryl L.; Prokhorov, Alexander V.

2018-01-01

INTRODUCTION In the United States, young adults have the highest prevalence of tobacco use. The dissemination of mobile phone text messages is a growing strategy for tobacco risk communication among young adults. However, little has been done concerning the design and validation of such text messages. The Texas Tobacco Center of Regulatory Science (Texas-TCORS) has developed a library of messages based on framing (gain- or loss-framed), depth (simple or complex) and appeal (emotional or rational). This study validated the library based on depth and appeal, identified text messages that may need improvement, and explored new themes. METHODS The library formed the study sample (N=976 messages). The Linguistic Inquiry and Word Count (LIWC) software of 2015 was used to code for word count, word length and frequency of emotional and cognitive words. Analyses of variance, logistic regression and scatter plots were conducted for validation. RESULTS In all, 874 messages agreed with LIWC-coding. Several messages did not agree with LIWC. Ten messages designed to be complex indicated simplicity, while 51 messages designed to be rational exhibited no cognitive words. New relevant themes were identified, such as health (e.g. ‘diagnosis’, ‘cancer’), death (e.g. ‘dead’, ‘lethal’) and social connotations (e.g. ‘parents’, ‘friends’). CONCLUSIONS Nicotine and tobacco researchers can safely use, for young adults, messages from the Texas-TCORS library to convey information in the intended style. Future work may expand upon the new themes. Findings will be utilized to develop new campaigns, so that risks of nicotine and tobacco products can be widely disseminated. PMID:29888338

Dissociating Word Frequency and Predictability Effects in Reading: Evidence from Coregistration of Eye Movements and EEG

ERIC Educational Resources Information Center

Kretzschmar, Franziska; Schlesewsky, Matthias; Staub, Adrian

2015-01-01

Two very reliable influences on eye fixation durations in reading are word frequency, as measured by corpus counts, and word predictability, as measured by cloze norming. Several studies have reported strictly additive effects of these 2 variables. Predictability also reliably influences the amplitude of the N400 component in event-related…

Counting of oligomers in sequences generated by markov chains for DNA motif discovery.

PubMed

Shan, Gao; Zheng, Wei-Mou

2009-02-01

By means of the technique of the imbedded Markov chain, an efficient algorithm is proposed to exactly calculate first, second moments of word counts and the probability for a word to occur at least once in random texts generated by a Markov chain. A generating function is introduced directly from the imbedded Markov chain to derive asymptotic approximations for the problem. Two Z-scores, one based on the number of sequences with hits and the other on the total number of word hits in a set of sequences, are examined for discovery of motifs on a set of promoter sequences extracted from A. thaliana genome. Source code is available at http://www.itp.ac.cn/zheng/oligo.c.

Complete Blood Count (For Parents)

MedlinePlus

... Test: Basic Metabolic Panel (BMP) Blood Test: Hemoglobin Basic Blood Chemistry Tests Word! Complete Blood Count (CBC) Medical Tests and Procedures (Video Landing Page) Getting a Blood Test (Video) Medical Tests: What to Expect ... View more About Us Contact Us ...

Exploring new possibilities of astronomy education and outreach

NASA Astrophysics Data System (ADS)

Fukushima, Kodai

2015-08-01

I investigate the influences of astronomy education and outreach activities on people in order to explore their potential benefits and contribution to society. This research is based on the astronomy education lessons I gave to 287 senior high school and junior high school students in Cambodia in November 2013. Before and after my lesson, I asked them to answer my questionnaires in Khmer, where they could also write free descriptions. Sentences in their free descriptions translated into Japanese are analyzed by means of a text mining method. By converting text data to various numbers using a text mining method, it is possible for us to do statistical analysis. I counted the number of question sentences and computed their rate with respect to the total number of sentences. The rate of question sentences in 9th and 12th grade students are 39% and 9%, respectively. This shows 9th grade students wonder why and how more frequently and appear to be more stimulated in their curiosity than 12th grade students. I counted the frequency of words in the free descriptions and examined high frequency words, to take a broad view of the characteristics of free description. The word ''world'' is the fourth highest frequency word among 369 words following the three words, ''the universe'', ''the earth'', and ''a star'', which frequently appear in the lesson in astronomy. The most sentences including the word “world” described amazement at the existence of so vast unknown world outside of what they had known until then. The frequency of sentences including the word ''world'' of 12th grade students is much higher (45%) than that (18%) of 9th grade students. A significant fraction of 12th grade students appears to have had a strong impact and changed their views of the world. It is found that my lesson and related activities inspired intellectual curiosity in many students, especially in 9th grade students. It is also found that a significant fraction of 12th grade students appear to have had a strong impact and changed their views of the world. I conclude that astronomy education and outreach activities have a potential to contribute to Cambodian development.

The language used in describing autobiographical memories prompted by life period visually presented verbal cues, event-specific visually presented verbal cues and short musical clips of popular music.

PubMed

Zator, Krysten; Katz, Albert N

2017-07-01

Here, we examined linguistic differences in the reports of memories produced by three cueing methods. Two groups of young adults were cued visually either by words representing events or popular cultural phenomena that took place when they were 5, 10, or 16 years of age, or by words referencing a general lifetime period word cue directing them to that period in their life. A third group heard 30-second long musical clips of songs popular during the same three time periods. In each condition, participants typed a specific event memory evoked by the cue and these typed memories were subjected to analysis by the Linguistic Inquiry and Word Count (LIWC) program. Differences in the reports produced indicated that listening to music evoked memories embodied in motor-perceptual systems more so than memories evoked by our word-cueing conditions. Additionally, relative to music cues, lifetime period word cues produced memories with reliably more uses of personal pronouns, past tense terms, and negative emotions. The findings provide evidence for the embodiment of autobiographical memories, and how those differ when the cues emphasise different aspects of the encoded events.

Do Students’ and Authors’ Genders Affect Evaluations? A Linguistic Analysis of Medical Student Performance Evaluations

PubMed Central

Isaac, Carol; Chertoff, Jocelyn; Lee, Barbara; Carnes, Molly

2012-01-01

Purpose Recent guidelines for the Medical Student Performance Evaluation (MSPE) have standardized the “dean’s letter.” The authors examined MSPEs for linguistic differences according to student or author gender. Method This 2009 study analyzed 297 MSPEs for 227 male and 70 female medical students applying to a diagnostic radiology residency program. Text analysis software identified word counts, categories, frequencies, and contexts; factor analysis detected patterns of word categories in student–author gender pairings. Results Analyses showed a main effect for student gender (P=.046) and a group difference for the author–student gender combinations (P=.048). Female authors of male student MSPEs used the fewest “positive emotion” words (P=.006). MSPEs by male authors were shorter than those by females (P=.014). MSPEs for students ranked in the National Resident Matching Program contained more “standout” (P=.002) and “positive emotion” (P=.001) words. There were no differences in the author–gender pairs in the proportion of students ranked, although predominant word categories differed by author and student gender. Factor analysis revealed differences among the author–student groups in patterns of correlations among word categories. Conclusions MSPEs differed slightly but significantly by student and author gender. These differences may derive from societal norms for male and female behaviors and the subsequent linguistic interpretation of these behaviors, which itself may be colored by the observer’s gender. Although the differences in MSPEs did not seem to influence students’ rankings, this work underscores the need for awareness of the complex effects of gender in evaluating students and guiding their specialty choices. PMID:21099389

Bibliometric Analysis of Manuscript Characteristics That Influence Citations: A Comparison of Six Major Radiology Journals.

PubMed

Shekhani, Haris Naseem; Shariff, Shoaib; Bhulani, Nizar; Khosa, Faisal; Hanna, Tarek Noel

2017-12-01

The objective of our study was to investigate radiology manuscript characteristics that influence citation rate, capturing features of manuscript construction that are discrete from study design. Consecutive articles published from January 2004 to June 2004 were collected from the six major radiology journals with the highest impact factors: Radiology (impact factor, 5.076), Investigative Radiology (2.320), American Journal of Neuroradiology (AJNR) (2.384), RadioGraphics (2.494), European Radiology (2.364), and American Journal of Roentgenology (2.406). The citation count for these articles was retrieved from the Web of Science, and 29 article characteristics were tabulated manually. A point-biserial correlation, Spearman rank-order correlation, and multiple regression model were performed to predict citation number from the collected variables. A total of 703 articles-211 published in Radiology, 48 in Investigative Radiology, 106 in AJNR, 52 in RadioGraphics, 129 in European Radiology, and 157 in AJR-were evaluated. Punctuation was included in the title in 55% of the articles and had the highest statistically significant positive correlation to citation rate (point-biserial correlation coefficient [r pb ] = 0.85, p < 0.05). Open access status provided a low-magnitude, but significant, correlation to citation rate (r pb = 0.140, p < 0.001). The following variables created a significant multiple regression model to predict citation count (p < 0.005, R 2 = 0.186): study findings in the title, abstract word count, abstract character count, total number of words, country of origin, and all authors in the field of radiology. Using bibliometric knowledge, authors can craft a title, abstract, and text that may enhance visibility and citation count over what they would otherwise experience.

Early Concepts of Number and Counting

ERIC Educational Resources Information Center

Box, Katherine; Scott, Paul

2004-01-01

Before primitive man had grasped the concept of number, the written word or even speech, he was able to count. This was important for keeping track of food supplies, sending messages, trading between villages and even keeping track of how many animals were in their herd. Counting was done in various ways, but in all cases, the underlying principle…

Which button will I press? Preference for correctly ordered counting sequences in 18-month-olds.

PubMed

Ip, Martin Ho Kwan; Imuta, Kana; Slaughter, Virginia

2018-04-16

Correct counting respects the stable order principle whereby the count terms are recited in a fixed order every time. The 4 experiments reported here tested whether precounting infants recognize and prefer correct stable-ordered counting. The authors introduced a novel preference paradigm in which infants could freely press two buttons to activate videos of counting events. In the "correct" counting video, number words were always recited in the canonical order ("1, 2, 3, 4, 5, 6"). The "incorrect" counting video was identical except that the number words were recited in a random order (e.g., "5, 3, 1, 6, 4, 2"). In Experiment 1, 18-month-olds (n = 21), but not 15-month-olds (n = 24), significantly preferred to press the button that activated correct counting events. Experiment 2 revealed that English-learning 18-month-olds' (n = 21) preference for stable-ordered counting disappeared when the counting was done in Japanese. By contrast, Experiment 3 showed that multilingual 18-month-olds (n = 24) preferred correct stable-ordered counting in an unfamiliar foreign language. In Experiment 4, multilingual 18-month-olds (N = 21) showed no preference for stable-ordered alphabet sequences, ruling out some alternative explanations for the Experiment 3 results. Overall these findings are consistent with the idea that implicit recognition of the stable order principle of counting is acquired by 18 months of age, and that learning more than one language may accelerate infants' understanding of abstract counting principles. (PsycINFO Database Record (c) 2018 APA, all rights reserved).

Evaluating a Bilingual Text-Mining System with a Taxonomy of Key Words and Hierarchical Visualization for Understanding Learner-Generated Text

ERIC Educational Resources Information Center

Kong, Siu Cheung; Li, Ping; Song, Yanjie

2018-01-01

This study evaluated a bilingual text-mining system, which incorporated a bilingual taxonomy of key words and provided hierarchical visualization, for understanding learner-generated text in the learning management systems through automatic identification and counting of matching key words. A class of 27 in-service teachers studied a course…

A Picture Database for Verbs and Nouns with Different Action Content in Turkish

ERIC Educational Resources Information Center

Bayram, Ece; Aydin, Özgür; Ergenc, Hacer Iclal; Akbostanci, Muhittin Cenk

2017-01-01

In this study we present a picture database of 160 nouns and 160 verbs. All verbs and nouns are divided into two groups as action and non-action words. Age of acquisition, familiarity, imageability, name agreement and complexity norms are reported alongside frequency, word length and morpheme count for each word. Data were collected from 600…

Real-time multi-mode neutron multiplicity counter

DOEpatents

Rowland, Mark S; Alvarez, Raymond A

2013-02-26

Embodiments are directed to a digital data acquisition method that collects data regarding nuclear fission at high rates and performs real-time preprocessing of large volumes of data into directly useable forms for use in a system that performs non-destructive assaying of nuclear material and assemblies for mass and multiplication of special nuclear material (SNM). Pulses from a multi-detector array are fed in parallel to individual inputs that are tied to individual bits in a digital word. Data is collected by loading a word at the individual bit level in parallel, to reduce the latency associated with current shift-register systems. The word is read at regular intervals, all bits simultaneously, with no manipulation. The word is passed to a number of storage locations for subsequent processing, thereby removing the front-end problem of pulse pileup. The word is used simultaneously in several internal processing schemes that assemble the data in a number of more directly useable forms. The detector includes a multi-mode counter that executes a number of different count algorithms in parallel to determine different attributes of the count data.

Readability Levels of Dental Patient Education Brochures.

PubMed

Boles, Catherine D; Liu, Ying; November-Rider, Debra

2016-02-01

The objective of this study was to evaluate dental patient education brochures produced since 2000 to determine if there is any change in the Flesch-Kincaid grade level readability. A convenience sample of 36 brochures was obtained for analysis of the readability of the patient education material on multiple dental topics. Readability was measured using the Flesch-Kincaid Grade Level through Microsoft Word. Pearson's correlation was used to describe the relationship among the factors of interest. Backward model selection of multiple linear regression model was used to investigate the relationship between Flesch-Kincaid Grade level and a set of predictors included in this study. A convenience sample (n=36) of dental education brochures produced from 2000 to 2014 showed a mean Flesch-Kincaid reading grade level of 9.15. Weak to moderate correlations existed between word count and grade level (r=0.40) and characters count and grade level (r=0.46); strong correlations were found between grade level and average words per sentence (r=0.70), average characters per word (r=0.85) and Flesch Reading Ease (r=-0.98). Only 1 brochure out of the sample met the recommended sixth grade reading level (Flesch-Kincaid Grade Level 5.7). Overall, the Flesch-Kincaid Grade Level of all brochures was significantly higher than the recommended sixth grade reading level (p<0.0001). The findings from this study demonstrated that there has generally been an improvement in the Flesch-Kincaid grade level readability of the brochures. However, the majority of the brochures analyzed are still testing above the recommended sixth grade reading level. Copyright © 2016 The American Dental Hygienists’ Association.

Microcomputers and Preschoolers.

ERIC Educational Resources Information Center

Evans, Dina

Preschool children can benefit by working with microcomputers. Thinking skills are enhanced by software games that focus on logic, memory, problem solving, and pattern recognition. Counting, sequencing, and matching games develop mathematics skills, and word games focusing on basic letter symbol and word recognition develop language skills.…

State Handbook for Industrial Arts: A Comparison of Content with Judgments of Leaders and an Examination of Trends Reflected in These Publications.

ERIC Educational Resources Information Center

Johnson, Delton Lee

The purpose of this study were to: (1) determine the extent to which state industrial arts publications reflect the thinking of contemporary leaders, (2) identify curricular trends in state publications, and (3) provide guidelines for the preparation of state industrial arts handbooks. Data were obtained by a word count documentary analysis of 78…

A Linguistic Analysis of Suicide-Related Twitter Posts.

PubMed

O'Dea, Bridianne; Larsen, Mark E; Batterham, Philip J; Calear, Alison L; Christensen, Helen

2017-09-01

Suicide is a leading cause of death worldwide. Identifying those at risk and delivering timely interventions is challenging. Social media site Twitter is used to express suicidality. Automated linguistic analysis of suicide-related posts may help to differentiate those who require support or intervention from those who do not. This study aims to characterize the linguistic profiles of suicide-related Twitter posts. Using a dataset of suicide-related Twitter posts previously coded for suicide risk by experts, Linguistic Inquiry and Word Count (LIWC) and regression analyses were conducted to determine differences in linguistic profiles. When compared with matched non-suicide-related Twitter posts, strongly concerning suicide-related posts were characterized by a higher word count, increased use of first-person pronouns, and more references to death. When compared with safe-to-ignore suicide-related posts, strongly concerning suicide-related posts were characterized by increased use of first-person pronouns, greater anger, and increased focus on the present. Other differences were found. The predictive validity of the identified features needs further testing before these results can be used for interventional purposes. This study demonstrates that strongly concerning suicide-related Twitter posts have unique linguistic profiles. The examination of Twitter data for the presence of such features may help to validate online risk assessments and determine those in need of further support or intervention.

A Linguistic Inquiry and Word Count Analysis of the Adult Attachment Interview in Two Large Corpora.

PubMed

Waters, Theodore E A; Steele, Ryan D; Roisman, Glenn I; Haydon, Katherine C; Booth-LaForce, Cathryn

2016-01-01

An emerging literature suggests that variation in Adult Attachment Interview (AAI; George, Kaplan, & Main, 1985) states of mind about childhood experiences with primary caregivers is reflected in specific linguistic features captured by the Linguistic Inquiry Word Count automated text analysis program (LIWC; Pennebaker, Booth, & Francis, 2007). The current report addressed limitations of prior studies in this literature by using two large AAI corpora ( N s = 826 and 857) and a broader range of linguistic variables, as well as examining associations of LIWC-derived AAI dimensions with key developmental antecedents. First, regression analyses revealed that dismissing states of mind were associated with transcripts that were more truncated and deemphasized discussion of the attachment relationship whereas preoccupied states of mind were associated with longer, more conflicted, and angry narratives. Second, in aggregate, LIWC variables accounted for over a third of the variation in AAI dismissing and preoccupied states of mind, with regression weights cross-validating across samples. Third, LIWC-derived dismissing and preoccupied state of mind dimensions were associated with direct observations of maternal and paternal sensitivity as well as infant attachment security in childhood, replicating the pattern of results reported in Haydon, Roisman, Owen, Booth-LaForce, and Cox (2014) using coder-derived dismissing and preoccupation scores in the same sample.

Does the Coordination of Verbal and Motor Information Explain the Development of Counting in Children?

ERIC Educational Resources Information Center

Camos, Valerie; Barrouillet, Pierre; Fayol, Michel

2001-01-01

Tested in three experiments hypothesis that coordinating saying number-words and pointing to each object to count requires use of the central executive and that cost of coordination decreases with age. Found that for 5- and 9-year-olds and adults, manipulating difficulty of each component affected counting performance but did not make coordination…

Quantitative analysis of the text and graphic content in ophthalmic slide presentations.

PubMed

Ing, Edsel; Celo, Erdit; Ing, Royce; Weisbrod, Lawrence; Ing, Mercedes

2017-04-01

To determine the characteristics of ophthalmic digital slide presentations. Retrospective quantitative analysis. Slide presentations from a 2015 Canadian primary eye care conference were analyzed for their duration, character and word count, font size, words per minute (wpm), lines per slide, words per slide, slides per minute (spm), text density product (wpm × spm), proportion of graphic content, and Flesch Reading Ease (FRE) score using Microsoft PowerPoint and Word. The median audience evaluation score for the lectures was used to dichotomize the higher scoring lectures (HSL) from the lower scoring lectures (LSL). A priori we hypothesized that there would be a difference in the wpm, spm, text density product, and FRE score between HSL and LSL. Wilcoxon rank-sum tests with Bonferroni correction were utilized. The 17 lectures had medians of 2.5 spm, 20.3 words per slide, 5.0 lines per slide, 28-point sans serif font, 36% graphic content, and text density product of 136.4 words × slides/minute 2 . Although not statistically significant, the HSL had more wpm, fewer words per slide, more graphics per slide, greater text density, and higher FRE score than LSL. There was a statistically significant difference in the spm of the HSL (3.1 ± 1.0) versus the LSL (2.2 ± 1.0) at p = 0.0124. All presenters showed more than 1 slide per minute. The HSL showed more spm than the LSL. The descriptive statistics from this study may aid in the preparation of slides used for teaching and conferences. Copyright © 2017 Canadian Ophthalmological Society. Published by Elsevier Inc. All rights reserved.

Does counting emotion words on online social networks provide a window into people's subjective experience of emotion? A case study on Facebook.

PubMed

Kross, Ethan; Verduyn, Philippe; Boyer, Margaret; Drake, Brittany; Gainsburg, Izzy; Vickers, Brian; Ybarra, Oscar; Jonides, John

2018-04-05

Psychologists have long debated whether it is possible to assess how people subjectively feel without asking them. The recent proliferation of online social networks has recently added a fresh chapter to this discussion, with research now suggesting that it is possible to index people's subjective experience of emotion by simply counting the number of emotion words contained in their online social network posts. Whether the conclusions that emerge from this work are valid, however, rests on a critical assumption: that people's usage of emotion words in their posts accurately reflects how they feel. Although this assumption is widespread in psychological research, here we suggest that there are reasons to challenge it. We corroborate these assertions in 2 ways. First, using data from 4 experience-sampling studies of emotion in young adults, we show that people's reports of how they feel throughout the day neither predict, nor are predicted by, their use of emotion words on Facebook. Second, using simulations we show that although significant relationships emerge between the use of emotion words on Facebook and self-reported affect with increasingly large numbers of observations, the relationship between these variables was in the opposite of the theoretically expected direction 50% of the time (i.e., 3 of 6 models that we performed simulations on). In contrast to counting emotion words, we show that judges' ratings of the emotionality of participants' Facebook posts consistently predicts how people feel across all analyses. These findings shed light on how to draw inferences about emotion using online social network data. (PsycINFO Database Record (c) 2018 APA, all rights reserved).

Effects of Cumulative Frequency, but Not of Frequency Trajectory, in Lexical Decision Times of Older Adults and Patients with Alzheimer's Disease

ERIC Educational Resources Information Center

Caza, Nicole; Moscovitch, Morris

2005-01-01

The purpose of this study was to investigate the issue of age-limited learning effects on visual lexical decision in normal and pathological aging, by using words with different frequency trajectories and cumulative frequencies. We selected words that objectively changed in frequency trajectory from an early word count (Thorndike, 1921, 1932;…

Impressive Words: Linguistic Predictors of Public Approval of the U.S. Congress.

PubMed

Decter-Frain, Ari; Frimer, Jeremy A

2016-01-01

What type of language makes the most positive impression within a professional setting? Is competent/agentic language or warm/communal language more effective at eliciting social approval? We examined this basic social cognitive question in a real world context using a "big data" approach-the recent record-low levels of public approval of the U.S. Congress. Using Linguistic Inquiry and Word Count (LIWC), we text analyzed all 123+ million words spoken by members of the U.S. House of Representatives during floor debates between 1996 and 2014 and compared their usage of various classes of words to their public approval ratings over the same time period. We found that neither agentic nor communal language positively predicted public approval. However, this may be because communion combines two disparate social motives (belonging and helping). A follow-up analysis found that the helping form of communion positively predicted public approval, and did so more strongly than did agentic language. Next, we conducted an exploratory analysis, examining which of the 63 standard LIWC categories predict public approval. We found that the public approval of Congress was highest when politicians used tentative language, expressed both positive emotion and anxiety, and used human words, numbers, prepositions, numbers, and avoided conjunctions and the use of second-person pronouns. These results highlight the widespread primacy of warmth over competence as the primary dimensions of social cognition.

Impressive Words: Linguistic Predictors of Public Approval of the U.S. Congress

PubMed Central

Decter-Frain, Ari; Frimer, Jeremy A.

2016-01-01

What type of language makes the most positive impression within a professional setting? Is competent/agentic language or warm/communal language more effective at eliciting social approval? We examined this basic social cognitive question in a real world context using a “big data” approach—the recent record-low levels of public approval of the U.S. Congress. Using Linguistic Inquiry and Word Count (LIWC), we text analyzed all 123+ million words spoken by members of the U.S. House of Representatives during floor debates between 1996 and 2014 and compared their usage of various classes of words to their public approval ratings over the same time period. We found that neither agentic nor communal language positively predicted public approval. However, this may be because communion combines two disparate social motives (belonging and helping). A follow-up analysis found that the helping form of communion positively predicted public approval, and did so more strongly than did agentic language. Next, we conducted an exploratory analysis, examining which of the 63 standard LIWC categories predict public approval. We found that the public approval of Congress was highest when politicians used tentative language, expressed both positive emotion and anxiety, and used human words, numbers, prepositions, numbers, and avoided conjunctions and the use of second-person pronouns. These results highlight the widespread primacy of warmth over competence as the primary dimensions of social cognition. PMID:26941691

Mastery of the Logic of Natural Numbers Is Not the Result of Mastery of Counting: Evidence from Late Counters

ERIC Educational Resources Information Center

Jara-Ettinger, Julian; Piantadosi, Steve; Spelke, Elizabeth S.; Levy, Roger; Gibson, Edward

2017-01-01

To master the natural number system, children must understand both the concepts that number words capture and the counting procedure by which they are applied. These two types of knowledge develop in childhood, but their connection is poorly understood. Here we explore the relationship between the mastery of counting and the mastery of exact…

BPS counting for knots and combinatorics on words

NASA Astrophysics Data System (ADS)

Kucharski, Piotr; Sułkowski, Piotr

2016-11-01

We discuss relations between quantum BPS invariants defined in terms of a product decomposition of certain series, and difference equations (quantum A-polynomials) that annihilate such series. We construct combinatorial models whose structure is encoded in the form of such difference equations, and whose generating functions (Hilbert-Poincaré series) are solutions to those equations and reproduce generating series that encode BPS invariants. Furthermore, BPS invariants in question are expressed in terms of Lyndon words in an appropriate language, thereby relating counting of BPS states to the branch of mathematics referred to as combinatorics on words. We illustrate these results in the framework of colored extremal knot polynomials: among others we determine dual quantum extremal A-polynomials for various knots, present associated combinatorial models, find corresponding BPS invariants (extremal Labastida-Mariño-Ooguri-Vafa invariants) and discuss their integrality.

UIC at TREC 2008 Blog Track

DTIC Science & Technology

2008-11-01

T or more words, where T is a threshold that is empirically set to 300 in the experiment. The second rule aims to remove pornographic documents...Some blog documents are embedded with pornographic words to attract search traffic. We identify a list of pornographic words. Given a blog document, all...document, this document is considered pornographic spam, and is discarded. The third rule removes documents written in foreign languages. We count the

The Development of Word Frequency Lists Prior to the 1944 Thorndike-Lorge List.

ERIC Educational Resources Information Center

Bontrager, Terry

1991-01-01

Examines the word frequency studies that preceded the 1944 Thorndike-Lorge count and places those investigations in their broad, cultural perspective. Draws attention to the impact of the studies on knowledge about language and its development, educational curriculum and assessment, and methods of research. (MG)

Reading Function and Content Words in Subtitled Videos

PubMed Central

Szarkowska, Agnieszka; Łogińska, Maria

2016-01-01

In this study, we examined how function and content words are read in intra- and interlingual subtitles. We monitored eye movements of a group of 39 deaf, 27 hard of hearing, and 56 hearing Polish participants while they viewed English and Polish videos with Polish subtitles. We found that function words and short content words received less visual attention than longer content words, which was reflected in shorter dwell time, lower number of fixations, shorter first fixation duration, and lower subject hit count. Deaf participants dwelled significantly longer on function words than other participants, which may be an indication of their difficulty in processing this type of words. The findings are discussed in the context of classical reading research and applied research on subtitling. PMID:26681268

The New Beat Spectrum

ERIC Educational Resources Information Center

Falter, H. Ellie

2011-01-01

How do teachers teach students to count rhythms? Teachers can choose from various techniques. Younger students may learn themed words (such as "pea," "carrot," or "avocado"), specific rhythm syllables (such as "ta" and "ti-ti"), or some other counting method to learn notation and internalize rhythms. As students grow musically, and especially when…

Teenage Mutant Ninja Turtles Counting Pizza Toppings: A Creative Writing Learning Strategy.

ERIC Educational Resources Information Center

Buchan, Laura; And Others

1996-01-01

This article describes the application of a proofreading mnemonic learning strategy for proofreading creative writing assignments. The mnemonic--Ninja Turtles Counting Pizza Toppings--reminds students to check their work for name, title, capitalization, punctuation, and transition words. Application of the strategy, possible pitfalls, and…

The impact of article length on the number of future citations: a bibliometric analysis of general medicine journals.

PubMed

Falagas, Matthew E; Zarkali, Angeliki; Karageorgopoulos, Drosos E; Bardakas, Vangelis; Mavros, Michael N

2013-01-01

The number of citations received is considered an index of study quality and impact. We aimed to examine the factors associated with the number of citations of published articles, focusing on the article length. Original human studies published in the first trimester of 2006 in 5 major General Medicine journals were analyzed with regard to the number of authors and of author-affiliated institutions, title and abstract word count, article length (number of print pages), number of bibliographic references, study design, and 2006 journal impact factor (JIF). A multiple linear regression model was employed to identify the variables independently associated with the number of article citations received through January 2012. On univariate analysis the JIF, number of authors, article length, study design (interventional/observational and prospective/retrospective), title and abstract word count, number of author-affiliated institutions, and number of references were all associated with the number of citations received. On multivariate analysis with the logarithm of citations as the dependent variable, only article length [regression coefficient: 14.64 (95% confidence intervals: (5.76-23.50)] and JIF [3.37 (1.80-4.948)] independently predicted the number of citations. The variance of citations explained by these parameters was 51.2%. In a sample of articles published in major General Medicine journals, in addition to journal impact factors, article length and number of authors independently predicted the number of citations. This may reflect a higher complexity level and quality of longer and multi-authored studies.

Language, procedures, and the non-perceptual origin of number word meanings.

PubMed

Barner, David

2017-05-01

Perceptual representations of objects and approximate magnitudes are often invoked as building blocks that children combine to acquire the positive integers. Systems of numerical perception are either assumed to contain the logical foundations of arithmetic innately, or to supply the basis for their induction. I propose an alternative to this framework, and argue that the integers are not learned from perceptual systems, but arise to explain perception. Using cross-linguistic and developmental data, I show that small (~1-4) and large (~5+) numbers arise both historically and in individual children via distinct mechanisms, constituting independent learning problems, neither of which begins with perceptual building blocks. Children first learn small numbers using the same logic that supports other linguistic number marking (e.g. singular/plural). Years later, they infer the logic of counting from the relations between large number words and their roles in blind counting procedures, only incidentally associating number words with approximate magnitudes.

Derivational Morphology and Base Morpheme Frequency

ERIC Educational Resources Information Center

Ford, M. A.; Davis, M. H.; Marslen-Wilson, W. D.

2010-01-01

Morpheme frequency effects for derived words (e.g. an influence of the frequency of the base "dark" on responses to "darkness") have been interpreted as evidence of morphemic representation. However, it has been suggested that most derived words would not show these effects if family size (a type frequency count claimed to reflect semantic…

Predicting Lexical Proficiency in Language Learner Texts Using Computational Indices

ERIC Educational Resources Information Center

Crossley, Scott A.; Salsbury, Tom; McNamara, Danielle S.; Jarvis, Scott

2011-01-01

The authors present a model of lexical proficiency based on lexical indices related to vocabulary size, depth of lexical knowledge, and accessibility to core lexical items. The lexical indices used in this study come from the computational tool Coh-Metrix and include word length scores, lexical diversity values, word frequency counts, hypernymy…

Prenatal exposure to sand and dust storms and children's cognitive function in China: a quasi-experimental study.

PubMed

Li, Zhihui; Chen, Lincoln; Li, Mingqiang; Cohen, Jessica

2018-05-01

While there is evidence that sand and dust storms can have adverse health effects, the effects of such storms on children's cognitive function has not been explored. We examined whether prenatal exposure to sand and dust storms affects children's cognitive function and, if so, whether harmful effects of sand and dust storms vary by the trimester of exposure. This study used nationally representative data from the China Family Panel Studies between 2010 and 2014 and data on sand and dust storms from the national Sand and Dust Weather Almanac. We selected four indicators of children's cognitive function: mathematics test scores, word-recognition test scores, the age the child began speaking in whole sentences, and the age the child began counting from one to ten. Since the annual incidence of sand and dust storms is highly variable and is largely unpredictable, we used a region-and-year fixed-effect model to compare the cognitive function of children born in the same region and year but with varying amounts of prenatal exposure to sand and dust storms. We also investigated whether the effect of sand and dust storms varied by the specific month of prenatal exposure. We included 1236 observations for the analysis of mathematics and word-recognition test scores, 2693 observations in the analysis of the age the child began speaking in whole sentences, and 1951 observations for the analysis of the age the child began counting from one to ten. Every 10 additional days of prenatal exposure to sand and dust storms was associated with a 0·20 SD (95% CI 0·06 to 0·35, p=0·009) reduction in word test scores, 0·04 (-0·00 to 0·09, p=0·089) additional months to begin speaking in sentences, and 0·14 (0·03 to 0·25, p=0·021) additional months to begin counting, but was not significantly associated with mathematics test scores (reduction of 0·02 SD, -0·19 to 0·15). 10 additional days of prenatal exposure to sand and dust storms in the seventh gestational month was associated with a 0·18 SD (0·10 to 0·25) reduction in mathematics test scores, a 0·34 SD (0·18 to 0·50) reduction in word test scores, an additional 0·33 months (0·07 to 0·59) to begin speaking in sentences, and an additional 0·20 months (0·04 to 0·35) to begin counting. Our results suggest that protecting pregnant women from the effects of sand and dust storms in the critical periods of fetal brain development could generate benefits for the cognitive function of the next generation. None. Copyright © 2018 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license. Published by Elsevier Ltd.. All rights reserved.

Word aligned bitmap compression method, data structure, and apparatus

DOEpatents

Wu, Kesheng; Shoshani, Arie; Otoo, Ekow

2004-12-14

The Word-Aligned Hybrid (WAH) bitmap compression method and data structure is a relatively efficient method for searching and performing logical, counting, and pattern location operations upon large datasets. The technique is comprised of a data structure and methods that are optimized for computational efficiency by using the WAH compression method, which typically takes advantage of the target computing system's native word length. WAH is particularly apropos to infrequently varying databases, including those found in the on-line analytical processing (OLAP) industry, due to the increased computational efficiency of the WAH compressed bitmap index. Some commercial database products already include some version of a bitmap index, which could possibly be replaced by the WAH bitmap compression techniques for potentially increased operation speed, as well as increased efficiencies in constructing compressed bitmaps. Combined together, this technique may be particularly useful for real-time business intelligence. Additional WAH applications may include scientific modeling, such as climate and combustion simulations, to minimize search time for analysis and subsequent data visualization.

Readability Assessment of Online Uveitis Patient Education Materials.

PubMed

Ayoub, Samantha; Tsui, Edmund; Mohammed, Taariq; Tseng, Joseph

2017-12-29

To evaluate the readability of online uveitis patient education materials. A Google search in November 2016 was completed using search term "uveitis" and "uveitis inflammation." The top 50 websites with patient-centered information were selected and analyzed for readability using the Flesch-Kincaid Grade Level (FKGL), Flesch Reading Ease Score (FRES), Gunning FOG Index (GFI), and Simple Measure of Gobbledygook (SMOG). Statistical analysis was performed with two-tailed t-tests. The mean word count of the top 50 websites was 1162.7 words, and averaged 16.2 words per sentence. For these websites, the mean FRES was 38.0 (range 4-66, SD = 12.0), mean FKGL was 12.3 (range 6.8-19, SD = 2.4), mean SMOG score was 14.4 (range 9.8-19, SD = 1.8), and the mean Gunning FOG index was 14.0 (range 8.6-19, SD = 2.0). The majority of online patient directed uveitis materials are at a higher reading level than that of the average American adult.

Mapping the knowledge structure of research on patient adherence: knowledge domain visualization based co-word analysis and social network analysis.

PubMed

Zhang, Juan; Xie, Jun; Hou, Wanli; Tu, Xiaochen; Xu, Jing; Song, Fujian; Wang, Zhihong; Lu, Zuxun

2012-01-01

Patient adherence is an important issue for health service providers and health researchers. However, the knowledge structure of diverse research on treatment adherence is unclear. This study used co-word analysis and social network analysis techniques to analyze research literature on adherence, and to show their knowledge structure and evolution over time. Published scientific papers about treatment adherence were retrieved from Web of Science (2000 to May 2011). A total of 2308 relevant articles were included: 788 articles published in 2000-2005 and 1520 articles published in 2006-2011. The keywords of each article were extracted by using the software Biblexcel, and the synonym and isogenous words were merged manually. The frequency of keywords and their co-occurrence frequency were counted. High frequency keywords were selected to yield the co-words matrix. Finally the decomposition maps were used to comb the complex knowledge structures. Research themes were more general in the first period (2000 to 2005), and more extensive with many more new terms in the second period (2006 to 2011). Research on adherence has covered more and more diseases, populations and methods, but other diseases/conditions are not as hot as HIV/AIDS and have not become specialty themes/sub-directions. Most studies originated from the United States. The dynamic of this field is mainly divergent, with increasing number of new sub-directions of research. Future research is required to investigate specific directions and converge as well to construct a general paradigm in this field.

Mapping the Knowledge Structure of Research on Patient Adherence: Knowledge Domain Visualization Based Co-Word Analysis and Social Network Analysis

PubMed Central

Hou, Wanli; Tu, Xiaochen; Xu, Jing; Song, Fujian; Wang, Zhihong; Lu, Zuxun

2012-01-01

Background Patient adherence is an important issue for health service providers and health researchers. However, the knowledge structure of diverse research on treatment adherence is unclear. This study used co-word analysis and social network analysis techniques to analyze research literature on adherence, and to show their knowledge structure and evolution over time. Methods Published scientific papers about treatment adherence were retrieved from Web of Science (2000 to May 2011). A total of 2308 relevant articles were included: 788 articles published in 2000–2005 and 1520 articles published in 2006–2011. The keywords of each article were extracted by using the software Biblexcel, and the synonym and isogenous words were merged manually. The frequency of keywords and their co-occurrence frequency were counted. High frequency keywords were selected to yield the co-words matrix. Finally the decomposition maps were used to comb the complex knowledge structures. Results Research themes were more general in the first period (2000 to 2005), and more extensive with many more new terms in the second period (2006 to 2011). Research on adherence has covered more and more diseases, populations and methods, but other diseases/conditions are not as hot as HIV/AIDS and have not become specialty themes/sub-directions. Most studies originated from the United States. Conclusion The dynamic of this field is mainly divergent, with increasing number of new sub-directions of research. Future research is required to investigate specific directions and converge as well to construct a general paradigm in this field. PMID:22496819

The Association between Students' Number Knowledge and Social Disadvantage at School Entry

ERIC Educational Resources Information Center

Gould, Peter

2014-01-01

At the start of the Kindergarten year in New South Wales (NSW) government schools, teachers gather information on several aspects of children's number knowledge to guide their teaching programs. This includes knowledge of the sequence of words used for counting, numeral identification, and using counting to solve problems. This study investigated…

Reporting quality of randomised controlled trial abstracts on age-related macular degeneration health care: a cross-sectional quantification of the adherence to CONSORT abstract reporting recommendations.

PubMed

Baulig, Christine; Krummenauer, Frank; Geis, Berit; Tulka, Sabrina; Knippschild, Stephanie

2018-05-22

To assess the reporting quality of randomised controlled trial (RCT) abstracts on age-related macular degeneration (AMD) healthcare, to evaluate the adherence to the Consolidated Standards of Reporting Trials (CONSORT) statement's recommendations on minimum abstract information and to identify journal characteristics associated with abstract reporting quality. Cross-sectional evaluation of RCT abstracts on AMD healthcare. A PubMed search was implemented to identify RCT abstracts on AMD healthcare published in the English language between January 2004 and December 2013. Data extraction was performed by two parallel readers independently by means of a documentation format in accordance with the 16 items of the CONSORT checklist for abstracts. The total number of criteria fulfilled by an abstract was derived as primary endpoint of the investigation; incidence rate ratios (IRRs) with unadjusted 95% CI were estimated by means of multiple Poisson regression to identify journal and article characteristics (publication year, multicentre design, structured abstract recommendations, effective sample size, effective abstract word counts and journal impact factor) possibly associated with the total number of fulfilled items. 136 of 673 identified abstracts (published in 36 different journals) fulfilled all eligibility criteria. The median number of fulfilled items was 7 (95% CI 7 to 8). No abstract reported all 16 recommended items; the maximum total number was 14, the minimum 3 of 16 items. Multivariate analysis only demonstrated the abstracts' word counts as being significantly associated with a better reporting of abstracts (Poisson regression-based IRR 1.002, 95% CI 1.001 to 1.003). Reporting quality of RCT abstracts on AMD investigations showed a considerable potential for improvement to meet the CONSORT abstract reporting recommendations. Furthermore, word counts of abstracts were identified as significantly associated with the overall abstract reporting quality. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

Preverbal and verbal counting and computation.

PubMed

Gallistel, C R; Gelman, R

1992-08-01

We describe the preverbal system of counting and arithmetic reasoning revealed by experiments on numerical representations in animals. In this system, numerosities are represented by magnitudes, which are rapidly but inaccurately generated by the Meck and Church (1983) preverbal counting mechanism. We suggest the following. (1) The preverbal counting mechanism is the source of the implicit principles that guide the acquisition of verbal counting. (2) The preverbal system of arithmetic computation provides the framework for the assimilation of the verbal system. (3) Learning to count involves, in part, learning a mapping from the preverbal numerical magnitudes to the verbal and written number symbols and the inverse mappings from these symbols to the preverbal magnitudes. (4) Subitizing is the use of the preverbal counting process and the mapping from the resulting magnitudes to number words in order to generate rapidly the number words for small numerosities. (5) The retrieval of the number facts, which plays a central role in verbal computation, is mediated via the inverse mappings from verbal and written numbers to the preverbal magnitudes and the use of these magnitudes to find the appropriate cells in tabular arrangements of the answers. (6) This model of the fact retrieval process accounts for the salient features of the reaction time differences and error patterns revealed by experiments on mental arithmetic. (7) The application of verbal and written computational algorithms goes on in parallel with, and is to some extent guided by, preverbal computations, both in the child and in the adult.

Project ASPIRE: Spoken Language Intervention Curriculum for Parents of Low-socioeconomic Status and Their Deaf and Hard-of-Hearing Children.

PubMed

Suskind, Dana L; Graf, Eileen; Leffel, Kristin R; Hernandez, Marc W; Suskind, Elizabeth; Webber, Robert; Tannenbaum, Sally; Nevins, Mary Ellen

2016-02-01

To investigate the impact of a spoken language intervention curriculum aiming to improve the language environments caregivers of low socioeconomic status (SES) provide for their D/HH children with CI & HA to support children's spoken language development. Quasiexperimental. Tertiary. Thirty-two caregiver-child dyads of low-SES (as defined by caregiver education ≤ MA/MS and the income proxies = Medicaid or WIC/LINK) and children aged < 4.5 years, hearing loss of ≥ 30 dB, between 500 and 4000 Hz, using at least one amplification device with adequate amplification (hearing aid, cochlear implant, osseo-integrated device). Behavioral. Caregiver-directed educational intervention curriculum designed to improve D/HH children's early language environments. Changes in caregiver knowledge of child language development (questionnaire scores) and language behavior (word types, word tokens, utterances, mean length of utterance [MLU], LENA Adult Word Count (AWC), Conversational Turn Count (CTC)). Significant increases in caregiver questionnaire scores as well as utterances, word types, word tokens, and MLU in the treatment but not the control group. No significant changes in LENA outcomes. Results partially support the notion that caregiver-directed language enrichment interventions can change home language environments of D/HH children from low-SES backgrounds. Further longitudinal studies are necessary.

The counting abilities of children with specific language impairment: a comparison of oral and gestural tasks.

PubMed

Fazio, B B

1994-04-01

This study examined the counting abilities of preschool children with specific language impairment compared to language-matched and mental-age-matched peers. In order to determine the nature of the difficulties SLI children exhibited in counting, the subjects participated in a series of oral counting tasks and a series of gestural tasks that used an invented counting system based on pointing to body parts. Despite demonstrating knowledge of many of the rules associated with counting, SLI preschool children displayed marked difficulty in counting objects. On oral counting tasks, they showed difficulty with rote counting, displayed a limited repertoire of number terms, and miscounted sets of objects. However, on gestural counting tasks, SLI children's performance was significantly better. These findings suggest that SLI children have a specific difficulty with the rote sequential aspect of learning number words.

Language as Fluid: A Description of the Conduit Metaphor in Japanese.

ERIC Educational Resources Information Center

Nomura, Masuhiro

1993-01-01

The question of how 'communication' is metaphorized in Japanese is examined and this metaphorization is contrasted with Reddy's (1979) conduit metaphor. A claim is made that there is a strong tendency for Japanese to conceptualize 'word' as 'fluid' and to fuse 'word' and 'meaning.' English, which unlike Japanese, has overt count/mass and…

Zipf’s Law and the Frequency of Kazak Phonemes in Word Formation

NASA Astrophysics Data System (ADS)

Xin, Ruiqing; Li, Yonghong; Yu, Hongzhi

2018-03-01

Zipf’s Law is the basis of the principle of Least Effort, and is widely applicable in all natural fields. The occurring frequency of each phoneme in all Kazak words has been counted to testify the application of Zipf’s law in Kazak. Due to the limitation of the sample size, deviation is unavoidable, but overall results indicate that the occurring frequency and the reciprocal rank of each phoneme in Kazak words formation are in line with Zipf’s distribution.

A Structure Memory for Data Flow Computers

DTIC Science & Technology

1977-09-01

with a FET+ before the result is sent to the destination cells. If one of those cells is a SELECT that issues a FET- to reduce the refe- ence count, the...it.in a lAD packet through lADO . Since a reference count scheme is used for recovering unused cells, the controller watches for words whose reference

Parental Involvement: What Counts, Who Counts It, and Does It Help?

ERIC Educational Resources Information Center

Flessa, Joseph

2008-01-01

When asked to explain why so many urban schools show unsatisfactory results on academic or social measures, principals routinely and quickly turn to descriptions of parents. In other words, when seeking to explain why work within a school is so difficult or why reform initiatives have been unsuccessful, many principals point outside the school.…

Computer Supported Indexing: A History and Evaluation of NASA's MAI System. Supplement 24

NASA Technical Reports Server (NTRS)

Silvester, June P.

1997-01-01

Computer supported indexing systems may be categorized in several ways. One classification scheme refers to them as statistical, syntactic, semantic or knowledge-based. While a system may emphasize one of these aspects, most systems actually combine two or more of these mechanisms to maximize system efficiency. Statistical systems can be based on counts of words or word stems, statistical association, and correlation techniques that assign weights to word locations or provide lexical disambiguation, calculations regarding the likelihood of word co-occurrences, clustering of word stems and transformations, or any other computational method used to identify pertinent terms. If words are counted, the ones of median frequency become candidate index terms. Syntactical systems stress grammar and identify parts of speech. Concepts found in designated grammatical combinations, such as noun phrases, generate the suggested terms. Semantic systems are concerned with the context sensitivity of words in text. The primary goal of this type of indexing is to identify without regard to syntax the subject matter and the context-bearing words in the text being indexed. Knowledge-based systems provide a conceptual network that goes past thesaurus or equivalent relationships to knowing (e.g., in the National Library of Medicine (NLM) system) that because the tibia is part of the leg, a document relating to injuries to the tibia should he indexed to LEG INJURIES, not the broader MeSH term INJURIES, or knowing that the term FEMALE should automatically be added when the term PREGNANCY is assigned, and also that the indexer should be prompted to add either HUMAN or ANIMAL. Another way of categorizing indexing systems is to identify them as producing either assigned- or derived-term indexes.

Inference of Markovian properties of molecular sequences from NGS data and applications to comparative genomics.

PubMed

Ren, Jie; Song, Kai; Deng, Minghua; Reinert, Gesine; Cannon, Charles H; Sun, Fengzhu

2016-04-01

Next-generation sequencing (NGS) technologies generate large amounts of short read data for many different organisms. The fact that NGS reads are generally short makes it challenging to assemble the reads and reconstruct the original genome sequence. For clustering genomes using such NGS data, word-count based alignment-free sequence comparison is a promising approach, but for this approach, the underlying expected word counts are essential.A plausible model for this underlying distribution of word counts is given through modeling the DNA sequence as a Markov chain (MC). For single long sequences, efficient statistics are available to estimate the order of MCs and the transition probability matrix for the sequences. As NGS data do not provide a single long sequence, inference methods on Markovian properties of sequences based on single long sequences cannot be directly used for NGS short read data. Here we derive a normal approximation for such word counts. We also show that the traditional Chi-square statistic has an approximate gamma distribution ,: using the Lander-Waterman model for physical mapping. We propose several methods to estimate the order of the MC based on NGS reads and evaluate those using simulations. We illustrate the applications of our results by clustering genomic sequences of several vertebrate and tree species based on NGS reads using alignment-free sequence dissimilarity measures. We find that the estimated order of the MC has a considerable effect on the clustering results ,: and that the clustering results that use a N: MC of the estimated order give a plausible clustering of the species. Our implementation of the statistics developed here is available as R package 'NGS.MC' at http://www-rcf.usc.edu/∼fsun/Programs/NGS-MC/NGS-MC.html fsun@usc.edu Supplementary data are available at Bioinformatics online. © The Author 2015. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

The Contributions of Working Memory and Executive Functioning to Problem Representation and Solution Generation in Algebraic Word Problems

ERIC Educational Resources Information Center

Lee, Kerry; Ng, Ee Lynn; Ng, Swee Fong

2009-01-01

Solving algebraic word problems involves multiple cognitive phases. The authors used a multitask approach to examine the extent to which working memory and executive functioning are associated with generating problem models and producing solutions. They tested 255 11-year-olds on working memory (Counting Recall, Letter Memory, and Keep Track),…

Using Shakespeare's Sotto Voce to Determine True Identity From Text

PubMed Central

Kernot, David; Bossomaier, Terry; Bradbury, Roger

2018-01-01

Little is known of the private life of William Shakespeare, but he is famous for his collection of plays and poems, even though many of the works attributed to him were published anonymously. Determining the identity of Shakespeare has fascinated scholars for 400 years, and four significant figures in English literary history have been suggested as likely alternatives to Shakespeare for some disputed works: Bacon, de Vere, Stanley, and Marlowe. A myriad of computational and statistical tools and techniques have been used to determine the true authorship of his works. Many of these techniques rely on basic statistical correlations, word counts, collocated word groups, or keyword density, but no one method has been decided on. We suggest that an alternative technique that uses word semantics to draw on personality can provide an accurate profile of a person. To test this claim, we analyse the works of Shakespeare, Christopher Marlowe, and Elizabeth Cary. We use Word Accumulation Curves, Hierarchical Clustering overlays, Principal Component Analysis, and Linear Discriminant Analysis techniques in combination with RPAS, a multi-faceted text analysis approach that draws on a writer's personality, or self to identify subtle characteristics within a person's writing style. Here we find that RPAS can separate the known authored works of Shakespeare from Marlowe and Cary. Further, it separates their contested works, works suspected of being written by others. While few authorship identification techniques identify self from the way a person writes, we demonstrate that these stylistic characteristics are as applicable 400 years ago as they are today and have the potential to be used within cyberspace for law enforcement purposes. PMID:29599734

Content analysis of 150 years of British periodicals.

PubMed

Lansdall-Welfare, Thomas; Sudhahar, Saatviga; Thompson, James; Lewis, Justin; Cristianini, Nello

2017-01-24

Previous studies have shown that it is possible to detect macroscopic patterns of cultural change over periods of centuries by analyzing large textual time series, specifically digitized books. This method promises to empower scholars with a quantitative and data-driven tool to study culture and society, but its power has been limited by the use of data from books and simple analytics based essentially on word counts. This study addresses these problems by assembling a vast corpus of regional newspapers from the United Kingdom, incorporating very fine-grained geographical and temporal information that is not available for books. The corpus spans 150 years and is formed by millions of articles, representing 14% of all British regional outlets of the period. Simple content analysis of this corpus allowed us to detect specific events, like wars, epidemics, coronations, or conclaves, with high accuracy, whereas the use of more refined techniques from artificial intelligence enabled us to move beyond counting words by detecting references to named entities. These techniques allowed us to observe both a systematic underrepresentation and a steady increase of women in the news during the 20th century and the change of geographic focus for various concepts. We also estimate the dates when electricity overtook steam and trains overtook horses as a means of transportation, both around the year 1900, along with observing other cultural transitions. We believe that these data-driven approaches can complement the traditional method of close reading in detecting trends of continuity and change in historical corpora.

Content analysis of 150 years of British periodicals

PubMed Central

Lansdall-Welfare, Thomas; Sudhahar, Saatviga; Thompson, James; Lewis, Justin; Cristianini, Nello

2017-01-01

Previous studies have shown that it is possible to detect macroscopic patterns of cultural change over periods of centuries by analyzing large textual time series, specifically digitized books. This method promises to empower scholars with a quantitative and data-driven tool to study culture and society, but its power has been limited by the use of data from books and simple analytics based essentially on word counts. This study addresses these problems by assembling a vast corpus of regional newspapers from the United Kingdom, incorporating very fine-grained geographical and temporal information that is not available for books. The corpus spans 150 years and is formed by millions of articles, representing 14% of all British regional outlets of the period. Simple content analysis of this corpus allowed us to detect specific events, like wars, epidemics, coronations, or conclaves, with high accuracy, whereas the use of more refined techniques from artificial intelligence enabled us to move beyond counting words by detecting references to named entities. These techniques allowed us to observe both a systematic underrepresentation and a steady increase of women in the news during the 20th century and the change of geographic focus for various concepts. We also estimate the dates when electricity overtook steam and trains overtook horses as a means of transportation, both around the year 1900, along with observing other cultural transitions. We believe that these data-driven approaches can complement the traditional method of close reading in detecting trends of continuity and change in historical corpora. PMID:28069962

Importance Sampling of Word Patterns in DNA and Protein Sequences

PubMed Central

Chan, Hock Peng; Chen, Louis H.Y.

2010-01-01

Abstract Monte Carlo methods can provide accurate p-value estimates of word counting test statistics and are easy to implement. They are especially attractive when an asymptotic theory is absent or when either the search sequence or the word pattern is too short for the application of asymptotic formulae. Naive direct Monte Carlo is undesirable for the estimation of small probabilities because the associated rare events of interest are seldom generated. We propose instead efficient importance sampling algorithms that use controlled insertion of the desired word patterns on randomly generated sequences. The implementation is illustrated on word patterns of biological interest: palindromes and inverted repeats, patterns arising from position-specific weight matrices (PSWMs), and co-occurrences of pairs of motifs. PMID:21128856

2012 School Libraries Count! National Longitudinal Survey of School Library Programs

ERIC Educational Resources Information Center

American Association of School Librarians (NJ1), 2012

2012-01-01

AASL's School Libraries Count! annual longitudinal survey is an online survey that is open to all primary and secondary school library programs to participate. The 2012 survey was launched on January 24th and closed on March 20th. The survey was publicized through various professional organizations and events and through word of mouth. Data…

An Effectiveness Evaluation Between Manual and Automated Readability Counting Techniques. CNETS Report 5-75.

ERIC Educational Resources Information Center

Bunde, Gary R.

A statistical comparison was made between two automated devices which were used to count data points (words, sentences, and syllables) needed in the Flesch Reading Ease Score to determine the reading grade level of written material. Determination of grade level of all Rate Training Manuals and Non-Resident Career Courses had been requested by the…

How Does the Representational Status of To-Be-Counted Objects Affect Children's Understanding of Cardinality?

ERIC Educational Resources Information Center

Petersen, Lori A.

2013-01-01

When counting, the final word used to tag the final item in a set represents the cardinality, or total number, of the set. Understanding of this concept serves as a foundation for children's basic mathematical skills, such as arithmetic. However, little is known about how variations in the early learning environment affect children's understanding…

Reading Function and Content Words in Subtitled Videos.

PubMed

Krejtz, Izabela; Szarkowska, Agnieszka; Łogińska, Maria

2016-04-01

In this study, we examined how function and content words are read in intra- and interlingual subtitles. We monitored eye movements of a group of 39 deaf, 27 hard of hearing, and 56 hearing Polish participants while they viewed English and Polish videos with Polish subtitles. We found that function words and short content words received less visual attention than longer content words, which was reflected in shorter dwell time, lower number of fixations, shorter first fixation duration, and lower subject hit count. Deaf participants dwelled significantly longer on function words than other participants, which may be an indication of their difficulty in processing this type of words. The findings are discussed in the context of classical reading research and applied research on subtitling. © The Author 2015. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Visual attention based bag-of-words model for image classification

NASA Astrophysics Data System (ADS)

Wang, Qiwei; Wan, Shouhong; Yue, Lihua; Wang, Che

2014-04-01

Bag-of-words is a classical method for image classification. The core problem is how to count the frequency of the visual words and what visual words to select. In this paper, we propose a visual attention based bag-of-words model (VABOW model) for image classification task. The VABOW model utilizes visual attention method to generate a saliency map, and uses the saliency map as a weighted matrix to instruct the statistic process for the frequency of the visual words. On the other hand, the VABOW model combines shape, color and texture cues and uses L1 regularization logistic regression method to select the most relevant and most efficient features. We compare our approach with traditional bag-of-words based method on two datasets, and the result shows that our VABOW model outperforms the state-of-the-art method for image classification.

The Precision of Mapping Between Number Words and the Approximate Number System Predicts Children’s Formal Math Abilities

PubMed Central

Libertus, Melissa E.; Odic, Darko; Feigenson, Lisa; Halberda, Justin

2016-01-01

Children can represent number in at least two ways: by using their non-verbal, intuitive Approximate Number System (ANS), and by using words and symbols to count and represent numbers exactly. Further, by the time they are five years old, children can map between the ANS and number words, as evidenced by their ability to verbally estimate numbers of items without counting. How does the quality of the mapping between approximate and exact numbers relate to children’s math abilities? The role of the ANS-number word mapping in math competence remains controversial for at least two reasons. First, previous work has not examined the relation between verbal estimation and distinct subtypes of math abilities. Second, previous work has not addressed how distinct components of verbal estimation – mapping accuracy and variability – might each relate to math performance. Here, we address these gaps by measuring individual differences in ANS precision, verbal number estimation, and formal and informal math abilities in 5- to 7-year-old children. We found that verbal estimation variability, but not estimation accuracy, predicted formal math abilities even when controlling for age, expressive vocabulary, and ANS precision, and that it mediated the link between ANS precision and overall math ability. These findings suggest that variability in the ANS-number word mapping may be especially important for formal math abilities. PMID:27348475

The precision of mapping between number words and the approximate number system predicts children's formal math abilities.

PubMed

Libertus, Melissa E; Odic, Darko; Feigenson, Lisa; Halberda, Justin

2016-10-01

Children can represent number in at least two ways: by using their non-verbal, intuitive approximate number system (ANS) and by using words and symbols to count and represent numbers exactly. Furthermore, by the time they are 5years old, children can map between the ANS and number words, as evidenced by their ability to verbally estimate numbers of items without counting. How does the quality of the mapping between approximate and exact numbers relate to children's math abilities? The role of the ANS-number word mapping in math competence remains controversial for at least two reasons. First, previous work has not examined the relation between verbal estimation and distinct subtypes of math abilities. Second, previous work has not addressed how distinct components of verbal estimation-mapping accuracy and variability-might each relate to math performance. Here, we addressed these gaps by measuring individual differences in ANS precision, verbal number estimation, and formal and informal math abilities in 5- to 7-year-old children. We found that verbal estimation variability, but not estimation accuracy, predicted formal math abilities, even when controlling for age, expressive vocabulary, and ANS precision, and that it mediated the link between ANS precision and overall math ability. These findings suggest that variability in the ANS-number word mapping may be especially important for formal math abilities. Copyright © 2016 Elsevier Inc. All rights reserved.

Integration of orthographic, conceptual, and episodic information on implicit and explicit tests.

PubMed

Weldon, M S; Massaro, D W

1996-03-01

An experiment was conducted to determine how orthographic and conceptual information are integrated during incidental and intentional retrieval. Subjects studied word lists with either a shallow (counting vowels) or deep (rating pleasantness) processing task, then received either an implicit or explicit word fragment completion (WFC) test. At test, word fragments contained 0, 1, 2, or 4 letters, and were accompanied by 0, 1, 2, or 3 semantically related words. On both the implicit and explicit tests, performance improved with increases in the numbers of letters and words. When semantic cues were presented with the word fragments, the implicit test became more conceptually drive. Still, conceptual processing had a larger effect in intentional than in incidental retrieval. The Fuzzy Logical Model of Perception (FLMP) provided a good description of how orthographic, semantic, and episodic information were combined during retrieval.

Computerized Analysis of Verbal Fluency: Normative Data and the Effects of Repeated Testing, Simulated Malingering, and Traumatic Brain Injury

PubMed Central

Wyma, John M.; Herron, Timothy J.; Yund, E. William

2016-01-01

In verbal fluency (VF) tests, subjects articulate words in a specified category during a short test period (typically 60 s). Verbal fluency tests are widely used to study language development and to evaluate memory retrieval in neuropsychiatric disorders. Performance is usually measured as the total number of correct words retrieved. Here, we describe the properties of a computerized VF (C-VF) test that tallies correct words and repetitions while providing additional lexical measures of word frequency, syllable count, and typicality. In addition, the C-VF permits (1) the analysis of the rate of responding over time, and (2) the analysis of the semantic relationships between words using a new method, Explicit Semantic Analysis (ESA), as well as the established semantic clustering and switching measures developed by Troyer et al. (1997). In Experiment 1, we gathered normative data from 180 subjects ranging in age from 18 to 82 years in semantic (“animals”) and phonemic (letter “F”) conditions. The number of words retrieved in 90 s correlated with education and daily hours of computer-use. The rate of word production declined sharply over time during both tests. In semantic conditions, correct-word scores correlated strongly with the number of ESA and Troyer-defined semantic switches as well as with an ESA-defined semantic organization index (SOI). In phonemic conditions, ESA revealed significant semantic influences in the sequence of words retrieved. In Experiment 2, we examined the test-retest reliability of different measures across three weekly tests in 40 young subjects. Different categories were used for each semantic (“animals”, “parts of the body”, and “foods”) and phonemic (letters “F”, “A”, and “S”) condition. After regressing out the influences of education and computer-use, we found that correct-word z-scores in the first session did not differ from those of the subjects in Experiment 1. Word production was uniformly greater in semantic than phonemic conditions. Intraclass correlation coefficients (ICCs) of correct-word z-scores were higher for phonemic (0.91) than semantic (0.77) tests. In semantic conditions, good reliability was also seen for the SOI (ICC = 0.68) and ESA-defined switches in semantic categories (ICC = 0.62). In Experiment 3, we examined the performance of subjects from Experiment 2 when instructed to malinger: 38% showed abnormal (p< 0.05) performance in semantic conditions. Simulated malingerers with abnormal scores could be distinguished with 80% sensitivity and 89% specificity from subjects with abnormal scores in Experiment 1 using lexical, temporal, and semantic measures. In Experiment 4, we tested patients with mild and severe traumatic brain injury (mTBI and sTBI). Patients with mTBI performed within the normal range, while patients with sTBI showed significant impairments in correct-word z-scores and category shifts. The lexical, temporal, and semantic measures of the C-VF provide an automated and comprehensive description of verbal fluency performance. PMID:27936001

RALPH: An online computer program for acquisition and reduction of pulse height data

NASA Technical Reports Server (NTRS)

Davies, R. C.; Clark, R. S.; Keith, J. E.

1973-01-01

A background/foreground data acquisition and analysis system incorporating a high level control language was developed for acquiring both singles and dual parameter coincidence data from scintillation detectors at the Radiation Counting Laboratory at the NASA Manned Spacecraft Center in Houston, Texas. The system supports acquisition of gamma ray spectra in a 256 x 256 coincidence matrix (utilizing disk storage) and simultaneous operation of any of several background support and data analysis functions. In addition to special instruments and interfaces, the hardware consists of a PDP-9 with 24K core memory, 256K words of disk storage, and Dectape and Magtape bulk storage.

131 Ways to Use Film Containers: To Teach Literacy, Math, and Science--and Just to Have Fun!

ERIC Educational Resources Information Center

Whyte, Donna

2004-01-01

Experienced educator Donna Whyte has compiled her ideas for using film containers in the classroom into "131 Ways to Use Film Containers" so that they can be shared with other teachers. She includes engaging ways to use them in teaching children about word families, sight words, and punctuation marks; skip counting, estimating, and predicting; and…

What Do We Say When We Talk about Sustainability?: Analyzing Faculty, Staff and Student Definitions of Sustainability at One American University

ERIC Educational Resources Information Center

Owens, Katharine A.; Legere, Sasha

2015-01-01

Purpose: The purpose of this paper is to analyze how faculty, staff and students at one American University define the term sustainability. Design/methodology/approach: The authors analyze student, staff and faculty definitions by comparing word frequency counts to a list of the 25 most frequently found words in over 100 definitions of…

Ranking of predictor variables based on effect size criterion provides an accurate means of automatically classifying opinion column articles

NASA Astrophysics Data System (ADS)

Legara, Erika Fille; Monterola, Christopher; Abundo, Cheryl

2011-01-01

We demonstrate an accurate procedure based on linear discriminant analysis that allows automatic authorship classification of opinion column articles. First, we extract the following stylometric features of 157 column articles from four authors: statistics on high frequency words, number of words per sentence, and number of sentences per paragraph. Then, by systematically ranking these features based on an effect size criterion, we show that we can achieve an average classification accuracy of 93% for the test set. In comparison, frequency size based ranking has an average accuracy of 80%. The highest possible average classification accuracy of our data merely relying on chance is ∼31%. By carrying out sensitivity analysis, we show that the effect size criterion is superior than frequency ranking because there exist low frequency words that significantly contribute to successful author discrimination. Consistent results are seen when the procedure is applied in classifying the undisputed Federalist papers of Alexander Hamilton and James Madison. To the best of our knowledge, the work is the first attempt in classifying opinion column articles, that by virtue of being shorter in length (as compared to novels or short stories), are more prone to over-fitting issues. The near perfect classification for the longer papers supports this claim. Our results provide an important insight on authorship attribution that has been overlooked in previous studies: that ranking discriminant variables based on word frequency counts is not necessarily an optimal procedure.

Mapping the Early Language Environment Using All-Day Recordings and Automated Analysis.

PubMed

Gilkerson, Jill; Richards, Jeffrey A; Warren, Steven F; Montgomery, Judith K; Greenwood, Charles R; Kimbrough Oller, D; Hansen, John H L; Paul, Terrance D

2017-05-17

This research provided a first-generation standardization of automated language environment estimates, validated these estimates against standard language assessments, and extended on previous research reporting language behavior differences across socioeconomic groups. Typically developing children between 2 to 48 months of age completed monthly, daylong recordings in their natural language environments over a span of approximately 6-38 months. The resulting data set contained 3,213 12-hr recordings automatically analyzed by using the Language Environment Analysis (LENA) System to generate estimates of (a) the number of adult words in the child's environment, (b) the amount of caregiver-child interaction, and (c) the frequency of child vocal output. Child vocalization frequency and turn-taking increased with age, whereas adult word counts were age independent after early infancy. Child vocalization and conversational turn estimates predicted 7%-16% of the variance observed in child language assessment scores. Lower socioeconomic status (SES) children produced fewer vocalizations, engaged in fewer adult-child interactions, and were exposed to fewer daily adult words compared with their higher socioeconomic status peers, but within-group variability was high. The results offer new insight into the landscape of the early language environment, with clinical implications for identification of children at-risk for impoverished language environments.

Experimentally induced distraction impacts cognitive but not emotional processes in think-aloud cognitive assessment

PubMed Central

Hsu, Kean J.; Babeva, Kalina N.; Feng, Michelle C.; Hummer, Justin F.; Davison, Gerald C.

2014-01-01

Studies have examined the impact of distraction on basic task performance (e.g., working memory, motor responses), yet research is lacking regarding its impact in the domain of think-aloud cognitive assessment, where the threat to assessment validity is high. The Articulated Thoughts in Simulated Situations think-aloud cognitive assessment paradigm was employed to address this issue. Participants listened to scenarios under three conditions (i.e., while answering trivia questions, playing a visual puzzle game, or with no experimental distractor). Their articulated thoughts were then content-analyzed both by the Linguistic Inquiry and Word Count (LIWC) program and by content analysis of emotion and cognitive processes conducted by trained coders. Distraction did not impact indices of emotion but did affect cognitive processes. Specifically, with the LIWC system, the trivia questions distraction condition resulted in significantly higher proportions of insight and causal words, and higher frequencies of non-fluencies (e.g., “uh” or “umm”) and filler words (e.g., “like” or “you know”). Coder-rated content analysis found more disengagement and more misunderstanding particularly in the trivia questions distraction condition. A better understanding of how distraction disrupts the amount and type of cognitive engagement holds important implications for future studies employing cognitive assessment methods. PMID:24904488

Language of motivation and emotion in an internet support group for smoking cessation: explorative use of automated content analysis to measure regulatory focus.

PubMed

Johnsen, Jan-Are K; Vambheim, Sara M; Wynn, Rolf; Wangberg, Silje C

2014-01-01

The present study describes a novel approach to the identification of the motivational processes in text data extracted from an Internet support group (ISG) for smoking cessation. Based on the previous findings that a "prevention" focus might be more relevant for maintaining behavior change, it was hypothesized that 1) language use (ie, the use of emotional words) signaling a "promotion" focus would be dominant in the initiating stages of the ISG, and 2) that the proportion of words signaling a prevention focus would increase over time. The data were collected from the ISG site, spanning 4 years of forum activity. The data were analyzed using the Linguistic Inquiry and Word Count application. The first hypothesis - of promotion focus dominance in the initiating stages - was not supported during year 1. However, for all the other years measured, the data showed that a prevention failure was more dominant compared with a promotion failure. The results indicate that content analysis could be used to investigate motivational and language-driven processes in ISGs. Understanding the interplay between self-regulation, lifestyle change, and modern communication channels could be of vital importance in providing the public with better health care services and interventions.

Associations among childhood sexual abuse, language use and adult sexual functioning and satisfaction

PubMed Central

Lorenz, Tierney Ahrold; Meston, Cindy May

2012-01-01

To better understand the link between childhood sexual abuse (CSA) and adult sexual functioning and satisfaction, we examined cognitive differences between women with (N = 128) and without (NSA, N = 99) CSA histories. We used the Linguistic Inquiry Word Count, a computerized text analysis program, to investigate language differences between women with and without CSA histories when writing about their daily life (neutral essay) and their beliefs about sexuality and their sexual experiences (sexual essay). Compared to NSA women, women with CSA histories used fewer first person pronouns in the neutral essay but more in the sexual essay, suggesting women with CSA histories have greater self-focus when thinking about sexuality. Women who reported CSA used more intimacy words and more language consistent with psychological distancing in the sexual essay than did NSA women. Use of positive emotion words in the sexual essay predicted sexual functioning and satisfaction in both groups. These findings support the view that language use differs in significant ways between women with and without sexual abuse histories, and that these differences relate to sexual functioning and satisfaction. PMID:22387124

Context effects and false memory for alcohol words in adolescents.

PubMed

Zack, Martin; Sharpley, Justin; Dent, Clyde W; Stacy, Alan W

2009-03-01

This study assessed incidental recognition of Alcohol and Neutral words in adolescents who encoded the words under distraction. Participants were 171 (87 male) 10th grade students, ages 14-16 (M=15.1) years. Testing was conducted by telephone: Participants listened to a list containing Alcohol and Neutral (Experimental--Group E, n=92) or only Neutral (Control--Group C, n=79) words, while counting backwards from 200 by two's. Recognition was tested immediately thereafter. Group C exhibited higher false recognition of Neutral than Alcohol items, whereas Group E displayed equivalent false rates for both word types. The reported number of alcohol TV ads seen in the past week predicted higher false recognition of Neutral words in Group C and of Alcohol words in Group E. False memory for Alcohol words in Group E was greater in males and high anxiety sensitive participants. These context-dependent biases may contribute to exaggerations in perceived drinking norms previously found to predict alcohol misuse in young drinkers.

How to Learn the Natural Numbers: Inductive Inference and the Acquisition of Number Concepts

ERIC Educational Resources Information Center

Margolis, Eric; Laurence, Stephen

2008-01-01

Theories of number concepts often suppose that the natural numbers are acquired as children learn to count and as they draw an induction based on their interpretation of the first few count words. In a bold critique of this general approach, Rips, Asmuth, Bloomfield [Rips, L., Asmuth, J. & Bloomfield, A. (2006). Giving the boot to the bootstrap:…

Reactivity to a Spouse's Interpersonal Suffering in Late Life Marriage: A Mixed-Methods Approach.

PubMed

Mitchell, Hannah-Rose; Levy, Becca R; Keene, Danya E; Monin, Joan K

2015-09-01

To determine how older adult spouses react to their partners' interpersonal suffering. Spouses of individuals with musculoskeletal pain were recorded describing their partners' suffering while their blood pressure (BP) was monitored. After the account, spouses described their distress. Speeches were transcribed and analyzed with Linguistic Inquiry and Word Count software and coded for interpersonal content. Multivariate regression analyses were conducted with interpersonal content variables predicting BP and distress. Exploratory qualitative analysis was conducted using ATLAS.ti to explore mechanisms behind quantitative results. Describing partners' suffering as interpersonal and using social (family) words were associated with higher systolic BP reactivity. Husbands were more likely to describe partners' suffering as interpersonal. Qualitative results suggested shared stressors and bereavement-related distress as potential mechanisms for heightened reactivity to interpersonal suffering. Spouses' interpersonal suffering may negatively affect both men and women's cardiovascular health, and older husbands may be particularly affected. © The Author(s) 2015.

Reactivity to a Spouse's Interpersonal Suffering in Late Life Marriage: A Mixed-Methods Approach

PubMed Central

Mitchell, Hannah-Rose; Levy, Becca R.; Keene, Danya E.; Monin, Joan K.

2015-01-01

Objective To determine how older adult spouses react to their partners' interpersonal suffering. Method Spouses of individuals with musculoskeletal pain were recorded describing their partners' suffering while their blood pressure (BP) was monitored. After the account, spouses described their distress. Speeches were transcribed and analyzed with Linguistic Inquiry and Word Count software and coded for interpersonal content. Multivariate regression analyses were conducted with interpersonal content variables predicting BP and distress. Exploratory qualitative analysis was conducted using ATLAS.ti to explore mechanisms behind quantitative results. Results Describing partners' suffering as interpersonal and using social (family) words were associated with higher systolic BP reactivity. Husbands were more likely to describe partners' suffering as interpersonal. Qualitative results suggested shared stressors and bereavement-related distress as potential mechanisms for heightened reactivity to interpersonal suffering. Discussion Spouses' interpersonal suffering may negatively affect both men and women's cardiovascular health, and older husbands may be particularly affected. PMID:25659746

Modeling open-set spoken word recognition in postlingually deafened adults after cochlear implantation: some preliminary results with the neighborhood activation model.

PubMed

Meyer, Ted A; Frisch, Stefan A; Pisoni, David B; Miyamoto, Richard T; Svirsky, Mario A

2003-07-01

Do cochlear implants provide enough information to allow adult cochlear implant users to understand words in ways that are similar to listeners with acoustic hearing? Can we use a computational model to gain insight into the underlying mechanisms used by cochlear implant users to recognize spoken words? The Neighborhood Activation Model has been shown to be a reasonable model of word recognition for listeners with normal hearing. The Neighborhood Activation Model assumes that words are recognized in relation to other similar-sounding words in a listener's lexicon. The probability of correctly identifying a word is based on the phoneme perception probabilities from a listener's closed-set consonant and vowel confusion matrices modified by the relative frequency of occurrence of the target word compared with similar-sounding words (neighbors). Common words with few similar-sounding neighbors are more likely to be selected as responses than less common words with many similar-sounding neighbors. Recent studies have shown that several of the assumptions of the Neighborhood Activation Model also hold true for cochlear implant users. Closed-set consonant and vowel confusion matrices were obtained from 26 postlingually deafened adults who use cochlear implants. Confusion matrices were used to represent input errors to the Neighborhood Activation Model. Responses to the different stimuli were then generated by the Neighborhood Activation Model after incorporating the frequency of occurrence counts of the stimuli and their neighbors. Model outputs were compared with obtained performance measures on the Consonant-Vowel Nucleus-Consonant word test. Information transmission analysis was used to assess whether the Neighborhood Activation Model was able to successfully generate and predict word and individual phoneme recognition by cochlear implant users. The Neighborhood Activation Model predicted Consonant-Vowel Nucleus-Consonant test words at levels similar to those correctly identified by the cochlear implant users. The Neighborhood Activation Model also predicted phoneme feature information well. The results obtained suggest that the Neighborhood Activation Model provides a reasonable explanation of word recognition by postlingually deafened adults after cochlear implantation. It appears that multichannel cochlear implants give cochlear implant users access to their mental lexicons in a manner that is similar to listeners with acoustic hearing. The lexical properties of the test stimuli used to assess performance are important to spoken-word recognition and should be included in further models of the word recognition process.

You can count on the motor cortex: Finger counting habits modulate motor cortex activation evoked by numbers

PubMed Central

Tschentscher, Nadja; Hauk, Olaf; Fischer, Martin H.; Pulvermüller, Friedemann

2012-01-01

The embodied cognition framework suggests that neural systems for perception and action are engaged during higher cognitive processes. In an event-related fMRI study, we tested this claim for the abstract domain of numerical symbol processing: is the human cortical motor system part of the representation of numbers, and is organization of numerical knowledge influenced by individual finger counting habits? Developmental studies suggest a link between numerals and finger counting habits due to the acquisition of numerical skills through finger counting in childhood. In the present study, digits 1 to 9 and the corresponding number words were presented visually to adults with different finger counting habits, i.e. left- and right-starters who reported that they usually start counting small numbers with their left and right hand, respectively. Despite the absence of overt hand movements, the hemisphere contralateral to the hand used for counting small numbers was activated when small numbers were presented. The correspondence between finger counting habits and hemispheric motor activation is consistent with an intrinsic functional link between finger counting and number processing. PMID:22133748

Fostering Student Introspection through Guided Reflection Forms

NASA Astrophysics Data System (ADS)

Wood, Laura; Matheson, Amanda; Franklin, Scott

2017-01-01

Student self-reflection is an important metacognitive skill to developing expert-like habits of mind. This study focuses on student responses to Guided Reflection Forms (GRFs) and individualized instructor feedback to the submissions. Student and instructor entries were hand-coded by an emergent rubric and, separately, analyzed with LIWC (Linguistic Inquiry and Word Count), a computerized text analysis program that extracts affective sentiment. Sentiment analysis supports the development of a stable basis set (rubric) to describe responses that is robust across both introductory and advanced classes. The analysis also reveals the instructor's use of the ``praise sandwich,'' instinctively embedding critiques and suggestions between specific and general encouragements. The study demonstrates the utility of validated, automated, sentiment analysis as a method by which to analyze large corpuses of written text.

Sentinels of Breach: Lexical Choice as a Measure of Urgency in Social Media.

PubMed

Hampton, Andrew J; Shalin, Valerie L

2017-06-01

Objective This paper identifies general properties of language style in social media to help identify areas of need in disasters. Background In the search for metrics of need in social media data, much of the existing literature ignores processes of language usage. Psychological concepts, such as narrative breach, Gricean maxims, and lexical marking in cognition, may assist the recovery of disaster-relevant metrics from altered patterns of word prevalence. Method We analyzed several hundred thousand location-specific microblogs from Twitter for Hurricane Sandy, Oklahoma tornadoes, and the Boston Marathon bombing along with a fantasy football control corpus, examining the relative frequency of words in 36 antonym pairs. We compared the ratio of words within these pairs to the corresponding ratios recovered from an online word norm database. Results Partial rank correlation values between observed antonym ratios demonstrate consistent patterns across disasters. For Hurricane Sandy data, 25 antonym pairs have moderate to large effect sizes for discrepancies between observed and normative ratios. Across disasters, 7 pairs are stable and meet effect size criteria. Sentiment analysis, supplementary word frequency counts with respect to disaster proximity, and examples support a "breach" account for the observed results. Conclusion Lexical choice between antonyms, only somewhat related to sentiment, suggests that social media capture wide-ranging breaches of normal functioning. Application Antonym selection contributes to screening tools based on language style for identifying relevant content and quantifying disruption using social media without the a priori specification of content keywords.

Modular method of detection, localization, and counting of multiple-taxon pollen apertures using bag-of-words

NASA Astrophysics Data System (ADS)

Lozano-Vega, Gildardo; Benezeth, Yannick; Marzani, Franck; Boochs, Frank

2014-09-01

Accurate recognition of airborne pollen taxa is crucial for understanding and treating allergic diseases which affect an important proportion of the world population. Modern computer vision techniques enable the detection of discriminant characteristics. Apertures are among the important characteristics which have not been adequately explored until now. A flexible method of detection, localization, and counting of apertures of different pollen taxa with varying appearances is proposed. Aperture description is based on primitive images following the bag-of-words strategy. A confidence map is estimated based on the classification of sampled regions. The method is designed to be extended modularly to new aperture types employing the same algorithm by building individual classifiers. The method was evaluated on the top five allergenic pollen taxa in Germany, and its robustness to unseen particles was verified.

An analysis of reflective writing early in the medical curriculum: The relationship between reflective capacity and academic achievement.

PubMed

Ottenberg, Abigale L; Pasalic, Dario; Bui, Gloria T; Pawlina, Wojciech

2016-07-01

To examine the relationship between reflection, gender, residency choice, word count, and academic achievement among medical students. A modified version of the Reflection Evaluation for Learners' Enhanced Competencies Tool (REFLECT) was developed and used for this study (Cronbach's alpha of 0.86 with an intraclass correlation coefficient [ICC] of 0.68). This was applied to writing samples about professionalism in gross anatomy from first-year medical students between 2005 and 2011. Four analysts reviewed and scored written reflections independently. Composite reflection scores were compared with gender, residency choice, length of written reflection, NBME® Gross Anatomy and Embryology Subject Examination scores, and final gross anatomy course. Total of 319 written reflections were evaluated. Female students who pursued medicine specialties had the highest composite reflection scores (87 [27.2%]). Word count frequently correlated with reflection score (p < 0.0001). Students who performed well on the NBME® Gross Anatomy and Embryology Subject Examination tended to achieve high anatomy course grades (p < 0.0001). There was no statistically significant relationship between composite reflection scores and NBME® Gross Anatomy and Embryology Subject Examination scores (p = 0.16) or anatomy course grades (p = 0.90). This study suggests there are likely no correlations between reflective capacity and academic performance on tests of medical knowledge administered early in the medical curriculum.

Privacy Policies for Apps Targeted Toward Youth: Descriptive Analysis of Readability

PubMed Central

Das, Gitanjali; Cheung, Cynthia; Nebeker, Camille; Bietz, Matthew

2018-01-01

Background Due to the growing availability of consumer information, the protection of personal data is of increasing concern. Objective We assessed readability metrics of privacy policies for apps that are either available to or targeted toward youth to inform strategies to educate and protect youth from unintentional sharing of personal data. Methods We reviewed the 1200 highest ranked apps from the Apple and Google Play Stores and systematically selected apps geared toward youth. After applying exclusion criteria, 99 highly ranked apps geared toward minors remained, 64 of which had a privacy policy. We obtained and analyzed these privacy policies using reading grade level (RGL) as a metric. Policies were further compared as a function of app category (free vs paid; entertainment vs social networking vs utility). Results Analysis of privacy policies for these 64 apps revealed an average RGL of 12.78, which is well above the average reading level (8.0) of adults in the United States. There was also a small but statistically significant difference in word count as a function of app category (entertainment: 2546 words, social networking: 3493 words, and utility: 1038 words; P=.02). Conclusions Although users must agree to privacy policies to access digital tools and products, readability analyses suggest that these agreements are not comprehensible to most adults, let alone youth. We propose that stakeholders, including pediatricians and other health care professionals, play a role in educating youth and their guardians about the use of Web-based services and potential privacy risks, including the unintentional sharing of personal data. PMID:29301737

Reassessing word frequency as a determinant of word recognition for skilled and unskilled readers

PubMed Central

Kuperman, Victor; Van Dyke, Julie A.

2013-01-01

The importance of vocabulary in reading comprehension emphasizes the need to accurately assess an individual’s familiarity with words. The present article highlights problems with using occurrence counts in corpora as an index of word familiarity, especially when studying individuals varying in reading experience. We demonstrate via computational simulations and norming studies that corpus-based word frequencies systematically overestimate strengths of word representations, especially in the low-frequency range and in smaller-size vocabularies. Experience-driven differences in word familiarity prove to be faithfully captured by the subjective frequency ratings collected from responders at different experience levels. When matched on those levels, this lexical measure explains more variance than corpus-based frequencies in eye-movement and lexical decision latencies to English words, attested in populations with varied reading experience and skill. Furthermore, the use of subjective frequencies removes the widely reported (corpus) frequency-by-skill interaction, showing that more skilled readers are equally faster in processing any word than the less skilled readers, not disproportionally faster in processing lower-frequency words. This finding challenges the view that the more skilled an individual is in generic mechanisms of word processing the less reliant he/she will be on the actual lexical characteristics of that word. PMID:23339352

P2 and behavioral effects of stroke count in Chinese characters: Evidence for an analytic and attentional view.

PubMed

Yang, Shasha; Zhang, Shunmei; Wang, Quanhong

2016-08-15

The inconsistent stroke-count effect in Chinese character recognition has resulted in an intense debate between the analytic and holistic views of character processing. The length effects of English words on behavioral responses and event-related potentials (ERPs) are similarly inconclusive. In this study, we identified any behavioral and ERP stroke-count effects when orthographic neighborhood sizes are balanced across three stroke counts. A delayed character-matching task was conducted while ERPs were recorded. The behavioral data indicated that both response latency and error rate increased with increasing stroke count. The ERP data showed higher P2 but lower N2 amplitudes in the large count than in the median count condition. A higher P2 can reflect increased attentional load and reduced attentional resource for processing each stroke because of the additional strokes in the large count condition. The behavioral and ERP effects of stroke count provide evidence for the analytic view of character processing but also provide evidence against the holistic view. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Barely started and already left behind: a descriptive analysis of the mathematics ability demonstrated by young deaf children.

PubMed

Kritzer, Karen L

2009-01-01

This study examined young deaf children's early informal/formal mathematical knowledge as measured by the Test of Early Mathematics Ability (TEMA-3). Findings from this study suggest that prior to the onset of formal schooling, young deaf children might already demonstrate evidence of academic delays. Of these 28 participants (4-6 years of age), for whom data were analyzed, none received a score on the TEMA-3, indicating above-"average" ability according to normative ranking. More than half of participants received scores substantially below average with 11 participants receiving scores a year or more behind normative age-equivalent scores. Upon more focused analysis, specific areas of difficulty were found to include word/story problems, skip counting (i.e., counting by twos, threes, etc.), number comparisons, the reading/writing of two to three digit numbers, and addition/subtraction number facts. A qualitative analysis of the answers participants gave and the behaviors they demonstrated while answering the test items was conducted and revealed possible explanations for why specific test items may have been challenging. Implications of findings for parents, early interventionists, and teachers of young deaf children are discussed.

Children's learning of number words in an indigenous farming-foraging group.

PubMed

Piantadosi, Steven T; Jara-Ettinger, Julian; Gibson, Edward

2014-07-01

We show that children in the Tsimane', a farming-foraging group in the Bolivian rain-forest, learn number words along a similar developmental trajectory to children from industrialized countries. Tsimane' children successively acquire the first three or four number words before fully learning how counting works. However, their learning is substantially delayed relative to children from the United States, Russia, and Japan. The presence of a similar developmental trajectory likely indicates that the incremental stages of numerical knowledge - but not their timing - reflect a fundamental property of number concept acquisition which is relatively independent of language, culture, age, and early education. © 2014 John Wiley & Sons Ltd.

Delayed recall, hippocampal volume and Alzheimer neuropathology: findings from the Nun Study.

PubMed

Mortimer, J A; Gosche, K M; Riley, K P; Markesbery, W R; Snowdon, D A

2004-02-10

To examine the associations of hippocampal volume and the severity of neurofibrillary lesions determined at autopsy with delayed verbal recall performance evaluated an average of 1 year prior to death. Hippocampal volumes were computed using postmortem brain MRI from the first 56 scanned participants of the Nun Study. Quantitative neuropathologic studies included lesion counts, Braak staging, and determination of whether neuropathologic criteria for Alzheimer disease (AD) were met. Multiple regression was used to assess the association of hippocampal volume and neuropathologic lesions with the number of words (out of 10) recalled on the Consortium to Establish a Registry for Alzheimer's Disease Delayed Word Recall Test administered an average of 1 year prior to death. When entered separately, hippocampal volume, Braak stage, and the mean neurofibrillary tangle counts in the CA-1 region of the hippocampus and the subiculum were strongly associated with the number of words recalled after a delay, adjusting for age and education. When hippocampal volume was entered together with each neuropathologic index, only hippocampal volume retained a significant association with the delayed recall measure. The association between hippocampal volume and the number of words recalled was present in both demented and nondemented individuals as well as in those with and without substantial AD neurofibrillary pathology. The association of neurofibrillary tangles with delayed verbal recall may reflect associated hippocampal atrophy.

You can count on the motor cortex: finger counting habits modulate motor cortex activation evoked by numbers.

PubMed

Tschentscher, Nadja; Hauk, Olaf; Fischer, Martin H; Pulvermüller, Friedemann

2012-02-15

The embodied cognition framework suggests that neural systems for perception and action are engaged during higher cognitive processes. In an event-related fMRI study, we tested this claim for the abstract domain of numerical symbol processing: is the human cortical motor system part of the representation of numbers, and is organization of numerical knowledge influenced by individual finger counting habits? Developmental studies suggest a link between numerals and finger counting habits due to the acquisition of numerical skills through finger counting in childhood. In the present study, digits 1 to 9 and the corresponding number words were presented visually to adults with different finger counting habits, i.e. left- and right-starters who reported that they usually start counting small numbers with their left and right hand, respectively. Despite the absence of overt hand movements, the hemisphere contralateral to the hand used for counting small numbers was activated when small numbers were presented. The correspondence between finger counting habits and hemispheric motor activation is consistent with an intrinsic functional link between finger counting and number processing. Copyright © 2011 Elsevier Inc. All rights reserved.

Modeling Open-Set Spoken Word Recognition in Postlingually Deafened Adults after Cochlear Implantation: Some Preliminary Results with the Neighborhood Activation Model

PubMed Central

Meyer, Ted A.; Frisch, Stefan A.; Pisoni, David B.; Miyamoto, Richard T.; Svirsky, Mario A.

2012-01-01

Hypotheses Do cochlear implants provide enough information to allow adult cochlear implant users to understand words in ways that are similar to listeners with acoustic hearing? Can we use a computational model to gain insight into the underlying mechanisms used by cochlear implant users to recognize spoken words? Background The Neighborhood Activation Model has been shown to be a reasonable model of word recognition for listeners with normal hearing. The Neighborhood Activation Model assumes that words are recognized in relation to other similar-sounding words in a listener’s lexicon. The probability of correctly identifying a word is based on the phoneme perception probabilities from a listener’s closed-set consonant and vowel confusion matrices modified by the relative frequency of occurrence of the target word compared with similar-sounding words (neighbors). Common words with few similar-sounding neighbors are more likely to be selected as responses than less common words with many similar-sounding neighbors. Recent studies have shown that several of the assumptions of the Neighborhood Activation Model also hold true for cochlear implant users. Methods Closed-set consonant and vowel confusion matrices were obtained from 26 postlingually deafened adults who use cochlear implants. Confusion matrices were used to represent input errors to the Neighborhood Activation Model. Responses to the different stimuli were then generated by the Neighborhood Activation Model after incorporating the frequency of occurrence counts of the stimuli and their neighbors. Model outputs were compared with obtained performance measures on the Consonant-Vowel Nucleus-Consonant word test. Information transmission analysis was used to assess whether the Neighborhood Activation Model was able to successfully generate and predict word and individual phoneme recognition by cochlear implant users. Results The Neighborhood Activation Model predicted Consonant-Vowel Nucleus-Consonant test words at levels similar to those correctly identified by the cochlear implant users. The Neighborhood Activation Model also predicted phoneme feature information well. Conclusion The results obtained suggest that the Neighborhood Activation Model provides a reasonable explanation of word recognition by postlingually deafened adults after cochlear implantation. It appears that multichannel cochlear implants give cochlear implant users access to their mental lexicons in a manner that is similar to listeners with acoustic hearing. The lexical properties of the test stimuli used to assess performance are important to spoken-word recognition and should be included in further models of the word recognition process. PMID:12851554

'Googling' Gout: Exploring perceptions about gout through a linguistic analysis of online search activities.

PubMed

Jordan, Kayla N; Pennebaker, James W; Petrie, Keith J; Dalbeth, Nicola

2018-05-21

To understand what terms people seeking information about gout use most frequently in online searches and explore the psychological and emotional tone of these searches. A large de-identified dataset of search histories from major search engines was analyzed. Participants who searched for gout (n=1,117), arthritis (arthritis search control group, n=2,036, age and sex-matched), and a random set of age and sex-matched participants (general control group, n=2,150) were included. Searches were analyzed using Meaning Extraction Helper and Linguistic Inquiry and Word Count. The most frequent unique searches in the gout search group included gout-related and food-related terms. Those who searched for gout were most likely to search for words related to eating or avoidance. In contrast, those who searched for arthritis were more likely to search for disease or health-related words. Compared with the general control group, higher information seeking was observed for the gout and arthritis search groups. Compared with the general control group, both the gout and arthritis search groups searched for more food-related words, and fewer leisure and sexual words. The searches of both the gout and arthritis search groups were lower in positivity and higher in sadness words. The perception of gout as a condition managed by dietary strategies aligns with online information-seeking about the disease and its management. In contrast, people searching about arthritis focus more on medical strategies. Linguistic analyses reflect greater disability in social and leisure activities and lower positive emotion for those searching for gout or arthritis. This article is protected by copyright. All rights reserved. This article is protected by copyright. All rights reserved.

Relational Learning via Collective Matrix Factorization

DTIC Science & Technology

2008-06-01

well-known example of such a schema is pLSI- pHITS [13], which models document-word counts and document-document citations: E1 = words and E2 = E3...relational co- clustering include pLSI, pLSI- pHITS , the symmetric block models of Long et. al. [23, 24, 25], and Bregman tensor clustering [5] (which can...to pLSI- pHITS In this section we provide an example where the additional flexibility of collective matrix factorization leads to better results; and

Preschool predictors of mathematics in first grade children with autism spectrum disorder.

PubMed

Titeca, Daisy; Roeyers, Herbert; Josephy, Haeike; Ceulemans, Annelies; Desoete, Annemie

2014-11-01

Up till now, research evidence on the mathematical abilities of children with autism spectrum disorder (ASD) has been scarce and provided mixed results. The current study examined the predictive value of five early numerical competencies for four domains of mathematics in first grade. Thirty-three high-functioning children with ASD were followed up from preschool to first grade and compared with 54 typically developing children, as well as with normed samples in first grade. Five early numerical competencies were tested in preschool (5-6 years): verbal subitizing, counting, magnitude comparison, estimation, and arithmetic operations. Four domains of mathematics were used as outcome variables in first grade (6-7 years): procedural calculation, number fact retrieval, word/language problems, and time-related competences. Children with ASD showed similar early numerical competencies at preschool age as typically developing children. Moreover, they scored average on number fact retrieval and time-related competences and higher on procedural calculation and word/language problems compared to the normed population in first grade. When predicting first grade mathematics performance in children with ASD, both verbal subitizing and counting seemed to be important to evaluate at preschool age. Verbal subitizing had a higher predictive value in children with ASD than in typically developing children. Whereas verbal subitizing was predictive for procedural calculation, number fact retrieval, and word/language problems, counting was predictive for procedural calculation and, to a lesser extent, number fact retrieval. Implications and directions for future research are discussed. Copyright © 2014 The Authors. Published by Elsevier Ltd.. All rights reserved.

Railroads and Riddles Highlight New Software.

ERIC Educational Resources Information Center

Kinnamon, J. C.

1988-01-01

Six software products are reviewed including multimedia packages for history/geography and science. Other products include a coloring program, riddle-maker, word puzzle generator, a lesson on counting money, and a math game equipped with animation and sound effects. (IAH)

Privacy Policies for Apps Targeted Toward Youth: Descriptive Analysis of Readability.

PubMed

Das, Gitanjali; Cheung, Cynthia; Nebeker, Camille; Bietz, Matthew; Bloss, Cinnamon

2018-01-04

Due to the growing availability of consumer information, the protection of personal data is of increasing concern. We assessed readability metrics of privacy policies for apps that are either available to or targeted toward youth to inform strategies to educate and protect youth from unintentional sharing of personal data. We reviewed the 1200 highest ranked apps from the Apple and Google Play Stores and systematically selected apps geared toward youth. After applying exclusion criteria, 99 highly ranked apps geared toward minors remained, 64 of which had a privacy policy. We obtained and analyzed these privacy policies using reading grade level (RGL) as a metric. Policies were further compared as a function of app category (free vs paid; entertainment vs social networking vs utility). Analysis of privacy policies for these 64 apps revealed an average RGL of 12.78, which is well above the average reading level (8.0) of adults in the United States. There was also a small but statistically significant difference in word count as a function of app category (entertainment: 2546 words, social networking: 3493 words, and utility: 1038 words; P=.02). Although users must agree to privacy policies to access digital tools and products, readability analyses suggest that these agreements are not comprehensible to most adults, let alone youth. We propose that stakeholders, including pediatricians and other health care professionals, play a role in educating youth and their guardians about the use of Web-based services and potential privacy risks, including the unintentional sharing of personal data. ©Gitanjali Das, Cynthia Cheung, Camille Nebeker, Matthew Bietz, Cinnamon Bloss. Originally published in JMIR Mhealth and Uhealth (http://mhealth.jmir.org), 04.01.2018.

Authorship attribution based on Life-Like Network Automata.

PubMed

Machicao, Jeaneth; Corrêa, Edilson A; Miranda, Gisele H B; Amancio, Diego R; Bruno, Odemir M

2018-01-01

The authorship attribution is a problem of considerable practical and technical interest. Several methods have been designed to infer the authorship of disputed documents in multiple contexts. While traditional statistical methods based solely on word counts and related measurements have provided a simple, yet effective solution in particular cases; they are prone to manipulation. Recently, texts have been successfully modeled as networks, where words are represented by nodes linked according to textual similarity measurements. Such models are useful to identify informative topological patterns for the authorship recognition task. However, there is no consensus on which measurements should be used. Thus, we proposed a novel method to characterize text networks, by considering both topological and dynamical aspects of networks. Using concepts and methods from cellular automata theory, we devised a strategy to grasp informative spatio-temporal patterns from this model. Our experiments revealed an outperformance over structural analysis relying only on topological measurements, such as clustering coefficient, betweenness and shortest paths. The optimized results obtained here pave the way for a better characterization of textual networks.

Natural language use and couples' adjustment to head and neck cancer.

PubMed

Badr, Hoda; Milbury, Kathrin; Majeed, Nadia; Carmack, Cindy L; Ahmad, Zeba; Gritz, Ellen R

2016-10-01

This multimethod prospective study examined whether emotional disclosure and coping focus as conveyed through natural language use are associated with the psychological and marital adjustment of head and neck cancer patients and their spouses. One-hundred twenty-three patients (85% men; age X¯ = 56.8 years, SD = 10.4) and their spouses completed surveys prior to, following, and 4 months after engaging in a videotaped discussion about cancer in the laboratory. Linguistic inquiry and word count (LIWC) software assessed counts of positive/negative emotion words and first-person singular (I-talk), second person (you-talk), and first-person plural (we-talk) pronouns. Using a grounded theory approach, discussions were also analyzed to describe how emotion words and pronouns were used and what was being discussed. Emotion words were most often used to disclose thoughts/feelings or uncertainty about the future, and to express gratitude or acknowledgment to one's partner. Although patients who disclosed more negative emotion during the discussion reported more positive mood following the discussion (p < .05), no significant associations between emotion word use and patient or spouse psychological and marital adjustment were found. Patients used significantly more I-talk than spouses and spouses used significantly more you-talk than patients (ps < .01). Patients and spouses reported more positive mood following the discussion when they used more we-talk. They also reported less distress at the 4-month follow-up when their partners used more we-talk during the discussion (p < .01). Findings suggest that emotional disclosure may be less important to one's cancer adjustment than having a partner who one sees as instrumental to the coping process. (PsycINFO Database Record (c) 2016 APA, all rights reserved).

Natural Language Use and Couples’ Adjustment to Head and Neck Cancer

PubMed Central

Badr, Hoda; Milbury, Kathrin; Majeed, Nadia; Carmack, Cindy L.; Ahmad, Zeba; Gritz, Ellen R.

2016-01-01

Objective This multimethod prospective study examined whether emotional disclosure and coping focus as conveyed through natural language use is associated with the psychological and marital adjustment of head and neck cancer patients and their spouses. Methods One-hundred twenty-three patients (85% men; age X‒=56.8 years, SD=10.4) and their spouses completed surveys prior to, following, and 4-months after engaging in a videotaped discussion about cancer in the laboratory. Linguistic Inquiry and Word Count (LIWC) software assessed counts of positive/negative emotion words and first-person singular (I-talk), second person (you-talk), and first-person plural (we-talk) pronouns. Using a Grounded Theory approach, discussions were also analyzed to describe how emotion words and pronouns were used and what was being discussed. Results Emotion words were most often used to disclose thoughts/feelings or worry/uncertainty about the future, and to express gratitude or acknowledgment to one’s partner. Although patients who disclosed more negative emotion during the discussion reported more positive mood following the discussion (p<.05), no significant associations between emotion word use and patient/partner psychological and marital adjustment were found. Patients used significantly more I-talk than spouses and spouses used significantly more you-talk than patients (p’s<.01). Patients and spouses reported more positive mood following the discussion when they used more we-talk, and less distress at the 4-month follow-up assessment when their partners used more we-talk (p <.01). Conclusion Findings suggest that emotional disclosure may be less important to one’s cancer adjustment than having a partner who one sees as instrumental to the coping process. PMID:27441867

The words children hear: Picture books and the statistics for language learning

PubMed Central

Montag, Jessica L.; Jones, Michael N.; Smith, Linda B.

2015-01-01

Young children learn language from the speech they hear. Previous work suggests that the statistical diversity of words and of linguistic contexts is associated with better language outcomes. One potential source of lexical diversity is the text of picture books that caregivers read aloud to children. Many parents begin reading to their children shortly after birth, so this is potentially an important source of linguistic input for many children. We constructed a corpus of 100 children’s picture books and compared word type and token counts to a matched sample of child-directed speech. Overall, the picture books contained more unique word types than the child-directed speech. Further, individual picture books generally contained more unique word types than length-matched, child-directed conversations. The text of picture books may be an important source of vocabulary for young children, and these findings suggest a mechanism that underlies the language benefits associated with reading to children. PMID:26243292

The Words Children Hear: Picture Books and the Statistics for Language Learning.

PubMed

Montag, Jessica L; Jones, Michael N; Smith, Linda B

2015-09-01

Young children learn language from the speech they hear. Previous work suggests that greater statistical diversity of words and of linguistic contexts is associated with better language outcomes. One potential source of lexical diversity is the text of picture books that caregivers read aloud to children. Many parents begin reading to their children shortly after birth, so this is potentially an important source of linguistic input for many children. We constructed a corpus of 100 children's picture books and compared word type and token counts in that sample and a matched sample of child-directed speech. Overall, the picture books contained more unique word types than the child-directed speech. Further, individual picture books generally contained more unique word types than length-matched, child-directed conversations. The text of picture books may be an important source of vocabulary for young children, and these findings suggest a mechanism that underlies the language benefits associated with reading to children. © The Author(s) 2015.

Estimating consumer familiarity with health terminology: a context-based approach.

PubMed

Zeng-Treitler, Qing; Goryachev, Sergey; Tse, Tony; Keselman, Alla; Boxwala, Aziz

2008-01-01

Effective health communication is often hindered by a "vocabulary gap" between language familiar to consumers and jargon used in medical practice and research. To present health information to consumers in a comprehensible fashion, we need to develop a mechanism to quantify health terms as being more likely or less likely to be understood by typical members of the lay public. Prior research has used approaches including syllable count, easy word list, and frequency count, all of which have significant limitations. In this article, we present a new method that predicts consumer familiarity using contextual information. The method was applied to a large query log data set and validated using results from two previously conducted consumer surveys. We measured the correlation between the survey result and the context-based prediction, syllable count, frequency count, and log normalized frequency count. The correlation coefficient between the context-based prediction and the survey result was 0.773 (p < 0.001), which was higher than the correlation coefficients between the survey result and the syllable count, frequency count, and log normalized frequency count (p < or = 0.012). The context-based approach provides a good alternative to the existing term familiarity assessment methods.

An associative model of adaptive inference for learning word-referent mappings.

PubMed

Kachergis, George; Yu, Chen; Shiffrin, Richard M

2012-04-01

People can learn word-referent pairs over a short series of individually ambiguous situations containing multiple words and referents (Yu & Smith, 2007, Cognition 106: 1558-1568). Cross-situational statistical learning relies on the repeated co-occurrence of words with their intended referents, but simple co-occurrence counts cannot explain the findings. Mutual exclusivity (ME: an assumption of one-to-one mappings) can reduce ambiguity by leveraging prior experience to restrict the number of word-referent pairings considered but can also block learning of non-one-to-one mappings. The present study first trained learners on one-to-one mappings with varying numbers of repetitions. In late training, a new set of word-referent pairs were introduced alongside pretrained pairs; each pretrained pair consistently appeared with a new pair. Results indicate that (1) learners quickly infer new pairs in late training on the basis of their knowledge of pretrained pairs, exhibiting ME; and (2) learners also adaptively relax the ME bias and learn two-to-two mappings involving both pretrained and new words and objects. We present an associative model that accounts for both results using competing familiarity and uncertainty biases.

Homelessness in America.

ERIC Educational Resources Information Center

Baumohl, Jim, Ed.

This book about homelessness in the United States offers 16 chapters in three parts. Part 1, "History Definitions, and Causes," includes: (1) "Redefining the Cursed Word: A Historical Interpretation of American Homelessness" (Kim Hopper and Jim Baumohl); (2) "Homelessness: Definitions and Counts" (Martha R. Burt); (3)…

Relationships of linguistic and motivation variables with drinking outcomes following two mailed brief interventions.

PubMed

Collins, Susan E; Carey, Kate B; Smyth, Joshua

2005-07-01

This study was a post hoc analysis of linguistic and motivation variables found in writing samples following the administration of two mailed brief interventions. At-risk college drinkers (N = 100) received personalized normative feedback (PNF) or an alcohol education (AE) brochure via mail. Participants responded to open-ended questions describing their reactions to the information they received. The writing samples were then coded for linguistic characteristics using the Linguistic Inquiry and Word Count program and for proportions of self-motivational statements using a modified version of the Motivational Interviewing Skills Code. Group comparisons indicated that the PNF group used a significantly higher percentage of first-person-singular and school-related words, whereas the AE group used a higher percentage of discrepancy, second-person and body-related words. Furthermore, the PNF group produced more language consistent with motivation to change than did the AE group. Hierarchical regressions testing mediation and moderation indicated that linguistic references to school and motivation moderated the group effect on changes in consumption during the heaviest drinking week. Further, although the group predicted reduction in heavy, episodic drinking, its effect was completely mediated by linguistic variables. Findings confirmed that PNF elicits distinct verbal responses that are associated with increased motivation and behavior change.

Social Markers of Mild Cognitive Impairment: Proportion of Word Counts in Free Conversational Speech.

PubMed

Dodge, Hiroko H; Mattek, Nora; Gregor, Mattie; Bowman, Molly; Seelye, Adriana; Ybarra, Oscar; Asgari, Meysam; Kaye, Jeffrey A

2015-01-01

Detecting early signs of Alzheimer's disease (AD) and mild cognitive impairment (MCI) during the pre-symptomatic phase is becoming increasingly important for costeffective clinical trials and also for deriving maximum benefit from currently available treatment strategies. However, distinguishing early signs of MCI from normal cognitive aging is difficult. Biomarkers have been extensively examined as early indicators of the pathological process for AD, but assessing these biomarkers is expensive and challenging to apply widely among pre-symptomatic community dwelling older adults. Here we propose assessment of social markers, which could provide an alternative or complementary and ecologically valid strategy for identifying the pre-symptomatic phase leading to MCI and AD. The data came from a larger randomized controlled clinical trial (RCT), where we examined whether daily conversational interactions using remote video telecommunications software could improve cognitive functions of older adult participants. We assessed the proportion of words generated by participants out of total words produced by both participants and staff interviewers using transcribed conversations during the intervention trial as an indicator of how two people (participants and interviewers) interact with each other in one-on-one conversations. We examined whether the proportion differed between those with intact cognition and MCI, using first, generalized estimating equations with the proportion as outcome, and second, logistic regression models with cognitive status as outcome in order to estimate the area under ROC curve (ROC AUC). Compared to those with normal cognitive function, MCI participants generated a greater proportion of words out of the total number of words during the timed conversation sessions (p=0.01). This difference remained after controlling for participant age, gender, interviewer and time of assessment (p=0.03). The logistic regression models showed the ROC AUC of identifying MCI (vs. normals) was 0.71 (95% Confidence Interval: 0.54 - 0.89) when average proportion of word counts spoken by subjects was included univariately into the model. An ecologically valid social marker such as the proportion of spoken words produced during spontaneous conversations may be sensitive to transitions from normal cognition to MCI.

Power-law regularities in human language

NASA Astrophysics Data System (ADS)

Mehri, Ali; Lashkari, Sahar Mohammadpour

2016-11-01

Complex structure of human language enables us to exchange very complicated information. This communication system obeys some common nonlinear statistical regularities. We investigate four important long-range features of human language. We perform our calculations for adopted works of seven famous litterateurs. Zipf's law and Heaps' law, which imply well-known power-law behaviors, are established in human language, showing a qualitative inverse relation with each other. Furthermore, the informational content associated with the words ordering, is measured by using an entropic metric. We also calculate fractal dimension of words in the text by using box counting method. The fractal dimension of each word, that is a positive value less than or equal to one, exhibits its spatial distribution in the text. Generally, we can claim that the Human language follows the mentioned power-law regularities. Power-law relations imply the existence of long-range correlations between the word types, to convey an especial idea.

A Picture Database for Verbs and Nouns with Different Action Content in Turkish.

PubMed

Bayram, Ece; Aydin, Özgür; Ergenc, Hacer Iclal; Akbostanci, Muhittin Cenk

2017-08-01

In this study we present a picture database of 160 nouns and 160 verbs. All verbs and nouns are divided into two groups as action and non-action words. Age of acquisition, familiarity, imageability, name agreement and complexity norms are reported alongside frequency, word length and morpheme count for each word. Data were collected from 600 native Turkish adults in total. The results show that although several measures have weak correlations with each other, only age of acquisition had moderate downhill relationships with familiarity and frequency with familiarity and frequency having a rather strong positive correlation with each other. The norms and the picture database are available as supplemental materials for use in psycholinguistic studies in Turkish.

Approximate number word knowledge before the cardinal principle.

PubMed

Gunderson, Elizabeth A; Spaepen, Elizabet; Levine, Susan C

2015-02-01

Approximate number word knowledge-understanding the relation between the count words and the approximate magnitudes of sets-is a critical piece of knowledge that predicts later math achievement. However, researchers disagree about when children first show evidence of approximate number word knowledge-before, or only after, they have learned the cardinal principle. In two studies, children who had not yet learned the cardinal principle (subset-knowers) produced sets in response to number words (verbal comprehension task) and produced number words in response to set sizes (verbal production task). As evidence of approximate number word knowledge, we examined whether children's numerical responses increased with increasing numerosity of the stimulus. In Study 1, subset-knowers (ages 3.0-4.2 years) showed approximate number word knowledge above their knower-level on both tasks, but this effect did not extend to numbers above 4. In Study 2, we collected data from a broader age range of subset-knowers (ages 3.1-5.6 years). In this sample, children showed approximate number word knowledge on the verbal production task even when only examining set sizes above 4. Across studies, children's age predicted approximate number word knowledge (above 4) on the verbal production task when controlling for their knower-level, study (1 or 2), and parents' education, none of which predicted approximation ability. Thus, children can develop approximate knowledge of number words up to 10 before learning the cardinal principle. Furthermore, approximate number word knowledge increases with age and might not be closely related to the development of exact number word knowledge. Copyright © 2014 Elsevier Inc. All rights reserved.

Downsampling Photodetector Array with Windowing

NASA Technical Reports Server (NTRS)

Patawaran, Ferze D.; Farr, William H.; Nguyen, Danh H.; Quirk, Kevin J.; Sahasrabudhe, Adit

2012-01-01

In a photon counting detector array, each pixel in the array produces an electrical pulse when an incident photon on that pixel is detected. Detection and demodulation of an optical communication signal that modulated the intensity of the optical signal requires counting the number of photon arrivals over a given interval. As the size of photon counting photodetector arrays increases, parallel processing of all the pixels exceeds the resources available in current application-specific integrated circuit (ASIC) and gate array (GA) technology; the desire for a high fill factor in avalanche photodiode (APD) detector arrays also precludes this. Through the use of downsampling and windowing portions of the detector array, the processing is distributed between the ASIC and GA. This allows demodulation of the optical communication signal incident on a large photon counting detector array, as well as providing architecture amenable to algorithmic changes. The detector array readout ASIC functions as a parallel-to-serial converter, serializing the photodetector array output for subsequent processing. Additional downsampling functionality for each pixel is added to this ASIC. Due to the large number of pixels in the array, the readout time of the entire photodetector is greater than the time between photon arrivals; therefore, a downsampling pre-processing step is done in order to increase the time allowed for the readout to occur. Each pixel drives a small counter that is incremented at every detected photon arrival or, equivalently, the charge in a storage capacitor is incremented. At the end of a user-configurable counting period (calculated independently from the ASIC), the counters are sampled and cleared. This downsampled photon count information is then sent one counter word at a time to the GA. For a large array, processing even the downsampled pixel counts exceeds the capabilities of the GA. Windowing of the array, whereby several subsets of pixels are designated for processing, is used to further reduce the computational requirements. The grouping of the designated pixel frame as the photon count information is sent one word at a time to the GA, the aggregation of the pixels in a window can be achieved by selecting only the designated pixel counts from the serial stream of photon counts, thereby obviating the need to store the entire frame of pixel count in the gate array. The pixel count se quence from each window can then be processed, forming lower-rate pixel statistics for each window. By having this processing occur in the GA rather than in the ASIC, future changes to the processing algorithm can be readily implemented. The high-bandwidth requirements of a photon counting array combined with the properties of the optical modulation being detected by the array present a unique problem that has not been addressed by current CCD or CMOS sensor array solutions.

Assessing Suicide Risk and Emotional Distress in Chinese Social Media: A Text Mining and Machine Learning Study.

PubMed

Cheng, Qijin; Li, Tim Mh; Kwok, Chi-Leung; Zhu, Tingshao; Yip, Paul Sf

2017-07-10

Early identification and intervention are imperative for suicide prevention. However, at-risk people often neither seek help nor take professional assessment. A tool to automatically assess their risk levels in natural settings can increase the opportunity for early intervention. The aim of this study was to explore whether computerized language analysis methods can be utilized to assess one's suicide risk and emotional distress in Chinese social media. A Web-based survey of Chinese social media (ie, Weibo) users was conducted to measure their suicide risk factors including suicide probability, Weibo suicide communication (WSC), depression, anxiety, and stress levels. Participants' Weibo posts published in the public domain were also downloaded with their consent. The Weibo posts were parsed and fitted into Simplified Chinese-Linguistic Inquiry and Word Count (SC-LIWC) categories. The associations between SC-LIWC features and the 5 suicide risk factors were examined by logistic regression. Furthermore, the support vector machine (SVM) model was applied based on the language features to automatically classify whether a Weibo user exhibited any of the 5 risk factors. A total of 974 Weibo users participated in the survey. Those with high suicide probability were marked by a higher usage of pronoun (odds ratio, OR=1.18, P=.001), prepend words (OR=1.49, P=.02), multifunction words (OR=1.12, P=.04), a lower usage of verb (OR=0.78, P<.001), and a greater total word count (OR=1.007, P=.008). Second-person plural was positively associated with severe depression (OR=8.36, P=.01) and stress (OR=11, P=.005), whereas work-related words were negatively associated with WSC (OR=0.71, P=.008), severe depression (OR=0.56, P=.005), and anxiety (OR=0.77, P=.02). Inconsistently, third-person plural was found to be negatively associated with WSC (OR=0.02, P=.047) but positively with severe stress (OR=41.3, P=.04). Achievement-related words were positively associated with depression (OR=1.68, P=.003), whereas health- (OR=2.36, P=.004) and death-related (OR=2.60, P=.01) words positively associated with stress. The machine classifiers did not achieve satisfying performance in the full sample set but could classify high suicide probability (area under the curve, AUC=0.61, P=.04) and severe anxiety (AUC=0.75, P<.001) among those who have exhibited WSC. SC-LIWC is useful to examine language markers of suicide risk and emotional distress in Chinese social media and can identify characteristics different from previous findings in the English literature. Some findings are leading to new hypotheses for future verification. Machine classifiers based on SC-LIWC features are promising but still require further optimization for application in real life. ©Qijin Cheng, Tim MH Li, Chi-Leung Kwok, Tingshao Zhu, Paul SF Yip. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 10.07.2017.

Assessing Suicide Risk and Emotional Distress in Chinese Social Media: A Text Mining and Machine Learning Study

PubMed Central

Li, Tim MH; Kwok, Chi-Leung; Zhu, Tingshao; Yip, Paul SF

2017-01-01

Background Early identification and intervention are imperative for suicide prevention. However, at-risk people often neither seek help nor take professional assessment. A tool to automatically assess their risk levels in natural settings can increase the opportunity for early intervention. Objective The aim of this study was to explore whether computerized language analysis methods can be utilized to assess one’s suicide risk and emotional distress in Chinese social media. Methods A Web-based survey of Chinese social media (ie, Weibo) users was conducted to measure their suicide risk factors including suicide probability, Weibo suicide communication (WSC), depression, anxiety, and stress levels. Participants’ Weibo posts published in the public domain were also downloaded with their consent. The Weibo posts were parsed and fitted into Simplified Chinese-Linguistic Inquiry and Word Count (SC-LIWC) categories. The associations between SC-LIWC features and the 5 suicide risk factors were examined by logistic regression. Furthermore, the support vector machine (SVM) model was applied based on the language features to automatically classify whether a Weibo user exhibited any of the 5 risk factors. Results A total of 974 Weibo users participated in the survey. Those with high suicide probability were marked by a higher usage of pronoun (odds ratio, OR=1.18, P=.001), prepend words (OR=1.49, P=.02), multifunction words (OR=1.12, P=.04), a lower usage of verb (OR=0.78, P<.001), and a greater total word count (OR=1.007, P=.008). Second-person plural was positively associated with severe depression (OR=8.36, P=.01) and stress (OR=11, P=.005), whereas work-related words were negatively associated with WSC (OR=0.71, P=.008), severe depression (OR=0.56, P=.005), and anxiety (OR=0.77, P=.02). Inconsistently, third-person plural was found to be negatively associated with WSC (OR=0.02, P=.047) but positively with severe stress (OR=41.3, P=.04). Achievement-related words were positively associated with depression (OR=1.68, P=.003), whereas health- (OR=2.36, P=.004) and death-related (OR=2.60, P=.01) words positively associated with stress. The machine classifiers did not achieve satisfying performance in the full sample set but could classify high suicide probability (area under the curve, AUC=0.61, P=.04) and severe anxiety (AUC=0.75, P<.001) among those who have exhibited WSC. Conclusions SC-LIWC is useful to examine language markers of suicide risk and emotional distress in Chinese social media and can identify characteristics different from previous findings in the English literature. Some findings are leading to new hypotheses for future verification. Machine classifiers based on SC-LIWC features are promising but still require further optimization for application in real life. PMID:28694239

Relationship between abstract thinking and eye gaze pattern in patients with schizophrenia.

PubMed

Oh, Jooyoung; Chun, Ji-Won; Lee, Jung Suk; Kim, Jae-Jin

2014-04-16

Effective integration of visual information is necessary to utilize abstract thinking, but patients with schizophrenia have slow eye movement and usually explore limited visual information. This study examines the relationship between abstract thinking ability and the pattern of eye gaze in patients with schizophrenia using a novel theme identification task. Twenty patients with schizophrenia and 22 healthy controls completed the theme identification task, in which subjects selected which word, out of a set of provided words, best described the theme of a picture. Eye gaze while performing the task was recorded by the eye tracker. Patients exhibited a significantly lower correct rate for theme identification and lesser fixation and saccade counts than controls. The correct rate was significantly correlated with the fixation count in patients, but not in controls. Patients with schizophrenia showed impaired abstract thinking and decreased quality of gaze, which were positively associated with each other. Theme identification and eye gaze appear to be useful as tools for the objective measurement of abstract thinking in patients with schizophrenia.

Cognitive Predictors of Achievement Growth in Mathematics: A Five Year Longitudinal Study

PubMed Central

Geary, David C.

2011-01-01

The study's goal was to identify the beginning of first grade quantitative competencies that predict mathematics achievement start point and growth through fifth grade. Measures of number, counting, and arithmetic competencies were administered in early first grade and used to predict mathematics achievement through fifth (n = 177), while controlling for intelligence, working memory, and processing speed. Multilevel models revealed intelligence, processing speed, and the central executive component of working memory predicted achievement or achievement growth in mathematics and, as a contrast domain, word reading. The phonological loop was uniquely predictive of word reading and the visuospatial sketch pad of mathematics. Early fluency in processing and manipulating numerical set size and Arabic numerals, accurate use of sophisticated counting procedures for solving addition problems, and accuracy in making placements on a mathematical number line were uniquely predictive of mathematics achievement. Use of memory-based processes to solve addition problems predicted mathematics and reading achievement but in different ways. The results identify the early quantitative competencies that uniquely contribute to mathematics learning. PMID:21942667

Occurrence Frequencies of Acoustic Patterns of Vocal Fry in American English Speakers.

PubMed

Abdelli-Beruh, Nassima B; Drugman, Thomas; Red Owl, R H

2016-11-01

The goal of this study was to analyze the occurrence frequencies of three individual acoustic patterns (A, B, C) and of vocal fry overall (A + B + C) as a function of gender, word position in the sentence (Not Last Word vs. Last Word), and sentence length (number of words in a sentence). This is an experimental design. Twenty-five male and 29 female American English (AE) speakers read the Grandfather Passage. The recordings were processed by a Matlab toolbox designed for the analysis and detection of creaky segments, automatically identified using the Kane-Drugman algorithm. The experiment produced subsamples of outcomes, three that reflect a single, discrete acoustic pattern (A, B, or C) and the fourth that reflects the occurrence frequency counts of Vocal Fry Overall without regard to any specific pattern. Zero-truncated Poisson regression analyses were conducted with Gender and Word Position as predictors and Sentence Length as a covariate. The results of the present study showed that the occurrence frequencies of the three acoustic patterns and vocal fry overall (A + B + C) are greatest at the end of sentences but are unaffected by sentence length. The findings also reveal that AE female speakers exhibit Pattern C significantly more frequently than Pattern B, and the converse holds for AE male speakers. Future studies are needed to confirm such outcomes, assess the perceptual salience of these acoustic patterns, and determine the physiological correlates of these acoustic patterns. The findings have implications for the design of new excitation models of vocal fry. Copyright © 2016 The Voice Foundation. Published by Elsevier Inc. All rights reserved.

Equivalency testing of TTC Tergitol 7 agar (ISO 9308-1:2000) with five culture media for the detection of E. coli in water samples in Greece.

PubMed

Mavridou, A; Smeti, E; Mandilara, G; Mandilara, G; Boufa, P; Vagiona-Arvanitidou, M; Vantarakis, A; Vassilandonopoulou, G; Pappa, O; Roussia, V; Tzouanopoulos, A; Livadara, M; Aisopou, I; Maraka, V; Nikolaou, E; Mandilara, G

2010-01-01

In this study ten laboratories in Greece compared the performance of reference method TTC Tergitol 7 Agar (with the additional test of beta-glucuronidase production) with five alternative methods, to detect E. coli in water, in line with European Water Directive recommendations. The samples were prepared by spiking drinking water with sewage effluent following a standard protocol. Chlorinated and non-chlorinated samples were used. The statistical analysis was based on the mean relative difference of confirmed counts and was performed in line with ISO 17994. The results showed that in total, three of the alternative methods (Chromocult Coliform agar, Membrane Lauryl Sulfate agar and Trypton Bilex-glucuronidase medium) were not different from TTC Tergitol 7 agar (TTC Tergitol 7 agar vs Chromocult Coliform agar, 294 samples, mean RD% 5.55; vs MLSA, 302 samples, mean RD% 1; vs TBX, 297 samples, mean RD% -2.78). The other two alternative methods (Membrane Faecal coliform medium and Colilert 18/ Quantitray) gave significantly higher counts than TTC Tergitol 7 agar (TTC Tergitol 7 agar vs MFc, 303 samples, mean RD% 8.81; vs Colilert-18/Quantitray, 76 samples, mean RD% 18.91). In other words, the alternative methods generated performance that was as reliable as, or even better than, the reference method. This study will help laboratories in Greece overcome culture and counting problems deriving from the EU reference method for E. coli counts in water samples.

Prevalence of plagiarism among medical students.

PubMed

Bilić-Zulle, Lidija; Frković, Vedran; Turk, Tamara; Azman, Josip; Petrovecki, Mladen

2005-02-01

To determine the prevalence of plagiarism among medical students in writing essays. During two academic years, 198 second year medical students attending Medical Informatics course wrote an essay on one of four offered articles. Two of the source articles were available in an electronic form and two in printed form. Two (one electronic and one paper article) were considered less complex and the other two more complex. The essays were examined using plagiarism detection software "WCopyfind," which counted the number of matching phrases with six or more words. Plagiarism rate, expressed as the percentage of the plagiarized text, was calculated as a ratio of the absolute number of matching words and the total number of words in the essay. Only 17 (9%) of students did not plagiarize at all and 68 (34%) plagiarized less than 10% of the text. The average plagiarism rate (% of plagiarized text) was 19% (5-95% percentile=0-88). Students who were strictly warned not to plagiarize had a higher total word count in their essays than students who were not warned (P=0.002) but there was no difference between them in the rate of plagiarism. Students with higher grades in Medical Informatics exam plagiarized less than those with lower grades (P=0.015). Gender, subject source, and complexity had no influence on the plagiarism rate. Plagiarism in writing essays is common among medical students. An explicit warning is not enough to deter students from plagiarism. Detection software can be used to trace and evaluate the rate of plagiarism in written student assays.

Pervasive Agility and Agile Fires in Support of Decisive Action

DTIC Science & Technology

2012-03-29

Pervasive Agility and Agile Fires in Support of Decisive Action FORMAT: Civilian Research Project DATE: 29 March 2012 WORD COUNT : 12,599 PAGES: 54...will face, this pollenization may require creative measures, perhaps virtual or constructive scenarios. The National Training Center at Fort Irwin

A comparison of language use in pro- and anti-vaccination comments in response to a high profile Facebook post.

PubMed

Faasse, Kate; Chatman, Casey J; Martin, Leslie R

2016-11-11

Vaccinations are important for controlling the spread of disease, yet an increasing number of people are distrustful of vaccines, and choose not to (fully) vaccinate themselves and their children. One proposed contributor to this distrust is anti-vaccination misinformation available on the internet, where people search for and discuss health information. The language people use in these discussions can provide insights into views about vaccination. Following a prominent Facebook post about childhood vaccination, language used by participants in a comment thread was analysed using LIWC (Linguistic Inquiry and Word Count). Percentage of words used across a number of categories was compared between pro-vaccination, anti-vaccination, and unrelated (control) comments. Both pro- and anti-vaccination comments used more risk-related and causation words, as well as fewer positive emotion words compared to control comments. Anti-vaccine comments were typified by greater analytical thinking, lower authenticity, more body and health references, and a higher percentage of work-related word use in comparison to pro-vaccine comments, plus more money references than control comments. In contrast, pro-vaccination comments were more authentic, somewhat more tentative, and evidenced higher anxiety words, as well as more references to family and social processes when compared to anti-vaccination comments. Although the anti-vaccination stance is not scientifically-based, comments showed evidence of greater analytical thinking, and more references to health and the body. In contrast, pro-vaccination comments demonstrated greater comparative anxiety, with a particular focus on family and social processes. These results may be indicative of the relative salience of these issues and emotions in differing understandings of the benefits and risks of vaccination. Text-based analysis is a potentially useful and ecologically valid tool for assessing perceptions of health issues, and may provide unique information about particular concerns or arguments expressed on social media that could inform future interventions. Copyright © 2016 Elsevier Ltd. All rights reserved.

Ethics Reporting in Biospecimen and Genetic Research: Current Practice and Suggestions for Changes

PubMed Central

Chin, William Wei Lim; Wieschowski, Susanne; Prokein, Jana; Illig, Thomas

2016-01-01

Modern approaches for research with human biospecimens employ a variety of substantially different types of ethics approval and informed consent. In most cases, standard ethics reporting such as “consent and approval was obtained” is no longer meaningful. A structured analysis of 120 biospecimen studies recently published in top journals revealed that more than 85% reported on consent and approval, but in more than 90% of cases, this reporting was insufficient and thus potentially misleading. Editorial policies, reporting guidelines, and material transfer agreements should include recommendations for meaningful ethics reporting in biospecimen research. Meaningful ethics reporting is possible without higher word counts and could support public trust as well as networked research. PMID:27483445

The influence of contextual diversity on word learning.

PubMed

Johns, Brendan T; Dye, Melody; Jones, Michael N

2016-08-01

In a series of analyses over mega datasets, Jones, Johns, and Recchia (Canadian Journal of Experimental Psychology, 66(2), 115-124, 2012) and Johns et al. (Journal of the Acoustical Society of America, 132:2, EL74-EL80, 2012) found that a measure of contextual diversity that takes into account the semantic variability of a word's contexts provided a better fit to both visual and spoken word recognition data than traditional measures, such as word frequency or raw context counts. This measure was empirically validated with an artificial language experiment (Jones et al.). The present study extends the empirical results with a unique natural language learning paradigm, which allows for an examination of the semantic representations that are acquired as semantic diversity is varied. Subjects were incidentally exposed to novel words as they rated short selections from articles, books, and newspapers. When novel words were encountered across distinct discourse contexts, subjects were both faster and more accurate at recognizing them than when they were seen in redundant contexts. However, learning across redundant contexts promoted the development of more stable semantic representations. These findings are predicted by a distributional learning model trained on the same materials as our subjects.

From grammatical number to exact numbers: early meanings of 'one', 'two', and 'three' in English, Russian, and Japanese.

PubMed

Sarnecka, Barbara W; Kamenskaya, Valentina G; Yamana, Yuko; Ogura, Tamiko; Yudovina, Yulia B

2007-09-01

This study examined whether singular/plural marking in a language helps children learn the meanings of the words 'one,' 'two,' and 'three.' First, CHILDES data in English, Russian (which marks singular/plural), and Japanese (which does not) were compared for frequency, variability, and contexts of number-word use. Then young children in the USA, Russia, and Japan were tested on Counting and Give-N tasks. More English and Russian learners knew the meaning of each number word than Japanese learners, regardless of whether singular/plural cues appeared in the task itself (e.g., "Give two apples" vs. "Give two"). These results suggest that the learning of "one," "two" and "three" is supported by the conceptual framework of grammatical number, rather than that of integers.

The role of short-term memory impairment in nonword repetition, real word repetition, and nonword decoding: A case study.

PubMed

Peter, Beate

2018-01-01

In a companion study, adults with dyslexia and adults with a probable history of childhood apraxia of speech showed evidence of difficulty with processing sequential information during nonword repetition, multisyllabic real word repetition and nonword decoding. Results suggested that some errors arose in visual encoding during nonword reading, all levels of processing but especially short-term memory storage/retrieval during nonword repetition, and motor planning and programming during complex real word repetition. To further investigate the role of short-term memory, a participant with short-term memory impairment (MI) was recruited. MI was confirmed with poor performance during a sentence repetition and three nonword repetition tasks, all of which have a high short-term memory load, whereas typical performance was observed during tests of reading, spelling, and static verbal knowledge, all with low short-term memory loads. Experimental results show error-free performance during multisyllabic real word repetition but high counts of sequence errors, especially migrations and assimilations, during nonword repetition, supporting short-term memory as a locus of sequential processing deficit during nonword repetition. Results are also consistent with the hypothesis that during complex real word repetition, short-term memory is bypassed as the word is recognized and retrieved from long-term memory prior to producing the word.

[Two-and-a-half year follow-up study of strategy factors in successful learning to predict academic achievements in medical education].

PubMed

Lee, Soon Ok; Lee, Sang Yeoup; Baek, Sunyong; Woo, Jae Seok; Im, Sun Ju; Yune, So Jung; Lee, Sun Hee; Kam, Beesung

2015-06-01

We performed a two-and-a-half year follow-up study of strategy factors in successful learning to predict academic achievements in medical education. Strategy factors in successful learning were identified using a content analysis of open-ended responses from 30 medical students who were ranked in the top 10 of their class. Core words were selected among their responses in each category and the frequency of the words were counted. Then, a factors survey was conducted among year 2 students, before the second semester. Finally, we performed an analysis to assess the association between the factors score and academic achievement for the same students 2.5 years later. The core words were "planning and execution," "daily reviews" in the study schedule category; "focusing in class" and "taking notes" among class-related category; and "lecture notes," "previous exams or papers," and "textbooks" in the primary self-learning resources category. There were associations between the factors scores for study planning and execution, focusing in class, and taking notes and academic achievement, representing the second year second semester credit score, third year written exam scores and fourth year written and skill exam scores. Study planning was only one independent variable to predict fourth year summative written exam scores. In a two-and-a-half year follow-up study, associations were founded between academic achievement and the factors scores for study planning and execution, focusing in class, and taking notes. Study planning as only one independent variable is useful for predicting fourth year summative written exam score.

Physician Racial Bias and Word Use during Racially Discordant Medical Interactions.

PubMed

Hagiwara, Nao; Slatcher, Richard B; Eggly, Susan; Penner, Louis A

2017-04-01

Physician racial bias can negatively affect Black patients' reactions to racially discordant medical interactions, suggesting that racial bias is manifested in physicians' communication with their Black patients. However, little is known about how physician racial bias actually influences their communication during these interactions. This study investigated how non-Black physicians' racial bias is related to their word use during medical interactions with Black patients. One hundred and seventeen video-recorded racially discordant medical interactions from a larger study were transcribed and analyzed using Linguistic Inquiry and Word Count (LIWC) software. Physicians with higher levels of implicit racial bias used first-person plural pronouns and anxiety-related words more frequently than physicians with lower levels of implicit bias. There was also a trend for physicians with higher levels of explicit racial bias to use first-person singular pronouns more frequently than physicians with lower levels of explicit bias. These findings suggest that non-Black physicians with higher levels of implicit racial bias may tend to use more words that reflect social dominance (i.e., first-person plural pronouns) and anxiety when interacting with Black patients.

Physician Racial Bias and Word Use during Racially Discordant Medical Interactions

PubMed Central

Hagiwara, Nao; Slatcher, Richard B.; Eggly, Susan; Penner, Louis A.

2016-01-01

Physician racial bias can negatively affect Black patients’ reactions to racially discordant medical interactions, suggesting that racial bias is manifested in physicians’ communication with their Black patients. However, little is known about how physician racial bias actually influences their communication during these interactions. This study investigated how non-Black physicians’ racial bias is related to their word use during medical interactions with Black patients. One hundred and seventeen video-recorded racially discordant medical interactions from a larger study were transcribed and analyzed using Linguistic Inquiry and Word Count (LIWC) software. Physicians with higher levels of implicit racial bias used first-person plural pronouns and anxiety-related words more frequently than physicians with lower levels of implicit bias. There was also a trend for physicians with higher levels of explicit racial bias to use first-person singular pronouns more frequently than physicians with lower levels of explicit bias. These findings suggest that non-Black physicians with higher levels of implicit racial bias may tend to use more words that reflect social dominance (i.e., first-person plural pronouns) and anxiety when interacting with Black patients. PMID:27309596

Investigating the Validity of Two Widely Used Quantitative Text Tools

ERIC Educational Resources Information Center

Cunningham, James W.; Hiebert, Elfrieda H.; Mesmer, Heidi Anne

2018-01-01

In recent years, readability formulas have gained new prominence as a basis for selecting texts for learning and assessment. Variables that quantitative tools count (e.g., word frequency, sentence length) provide valid measures of text complexity insofar as they accurately predict representative and high-quality criteria. The longstanding…

Specific Early Number Skills Mediate the Association between Executive Functioning Skills and Mathematics Achievement

ERIC Educational Resources Information Center

Fuhs, Mary Wagner; Hornburg, Caroline Byrd; McNeil, Nicole M.

2016-01-01

A growing literature reports significant associations between children's executive functioning skills and their mathematics achievement. The purpose of this study was to examine if specific early number skills, such as quantity discrimination, number line estimation, number sets identification, fast counting, and number word comprehension, mediate…

Educational Technology Research Journals: "International Journal of Technology and Design Education", 2005-2014

ERIC Educational Resources Information Center

Christensen, James M.; Jones, Brian; Cooper, Jessica Rose; McAllister, Laura; Ware, Mark B.; West, Richard E.

2015-01-01

This study examines the trends of the "International Journal of Technology and Design Education" over the past decade (2005-2014). The researchers looked at trends in article topics, research methods, authorship, and article citations by analyzing keyword frequencies, performing word counts of article titles, classifying studies…

Language, Thought, and Real Nouns

ERIC Educational Resources Information Center

Barner, David; Inagaki, Shunji; Li, Peggy

2009-01-01

We test the claim that acquiring a mass-count language, like English, causes speakers to think differently about entities in the world, relative to speakers of classifier languages like Japanese. We use three tasks to assess this claim: object-substance rating, quantity judgment, and word extension. Using the first two tasks, we present evidence…

47 CFR 13.207 - Preparing an examination.

Code of Federal Regulations, 2014 CFR

2014-10-01

... Preparing an examination. (a) Each telegraphy message and each written question set administered to an... may obtain the written question sets from a supplier or other COLEM. (c) A telegraphy examination must... examination. Each five letters of the alphabet must be counted as one word or one code group. Each numeral...

47 CFR 13.207 - Preparing an examination.

Code of Federal Regulations, 2012 CFR

2012-10-01

... Preparing an examination. (a) Each telegraphy message and each written question set administered to an... may obtain the written question sets from a supplier or other COLEM. (c) A telegraphy examination must... examination. Each five letters of the alphabet must be counted as one word or one code group. Each numeral...

47 CFR 13.207 - Preparing an examination.

Code of Federal Regulations, 2011 CFR

2011-10-01

... Preparing an examination. (a) Each telegraphy message and each written question set administered to an... may obtain the written question sets from a supplier or other COLEM. (c) A telegraphy examination must... examination. Each five letters of the alphabet must be counted as one word or one code group. Each numeral...

47 CFR 13.207 - Preparing an examination.

Code of Federal Regulations, 2013 CFR

2013-10-01

... Preparing an examination. (a) Each telegraphy message and each written question set administered to an... may obtain the written question sets from a supplier or other COLEM. (c) A telegraphy examination must... examination. Each five letters of the alphabet must be counted as one word or one code group. Each numeral...

Reading Where It Counts

ERIC Educational Resources Information Center

Miller, Harry

2014-01-01

In this article, teachers are reminded that their content subject areas require acquainting children with special words or symbols related to that subject area (e.g. mathematics or social studies). Because children can read well does not mean they would be understanding of any special reading skill required in a content subject area; that the…

Authorship attribution based on Life-Like Network Automata

PubMed Central

Machicao, Jeaneth; Corrêa, Edilson A.; Miranda, Gisele H. B.; Amancio, Diego R.

2018-01-01

The authorship attribution is a problem of considerable practical and technical interest. Several methods have been designed to infer the authorship of disputed documents in multiple contexts. While traditional statistical methods based solely on word counts and related measurements have provided a simple, yet effective solution in particular cases; they are prone to manipulation. Recently, texts have been successfully modeled as networks, where words are represented by nodes linked according to textual similarity measurements. Such models are useful to identify informative topological patterns for the authorship recognition task. However, there is no consensus on which measurements should be used. Thus, we proposed a novel method to characterize text networks, by considering both topological and dynamical aspects of networks. Using concepts and methods from cellular automata theory, we devised a strategy to grasp informative spatio-temporal patterns from this model. Our experiments revealed an outperformance over structural analysis relying only on topological measurements, such as clustering coefficient, betweenness and shortest paths. The optimized results obtained here pave the way for a better characterization of textual networks. PMID:29566100

Short-term retention of pictures and words as a function of type of distraction and length of delay interval.

PubMed

Pellegrino, J W; Siegel, A W; Dhawan, M

1976-01-01

Picture and word triads were tested in a Brown-Peterson short-term retention task at varying delay intervals (3, 10, or 30 sec) and under acoustic and simultaneous acoustic and visual distraction. Pictures were superior to words at all delay intervals under single acoustic distraction. Dual distraction consistently reduced picture retention while simultaneously facilitating word retention. The results were interpreted in terms of the dual coding hypothesis with modality-specific interference effects in the visual and acoustic processing systems. The differential effects of dual distraction were related to the introduction of visual interference and differential levels of functional acoustic interference across dual and single distraction tasks. The latter was supported by a constant 2/1 ratio in the backward counting rates of the acoustic vs. dual distraction tasks. The results further suggest that retention may not depend on total processing load of the distraction task, per se, but rather that processing load operates within modalities.

Writing content predicts benefit from written expressive disclosure: Evidence for repeated exposure and self-affirmation.

PubMed

Niles, Andrea N; Byrne Haltom, Kate E; Lieberman, Matthew D; Hur, Christopher; Stanton, Annette L

2016-01-01

Expressive disclosure regarding a stressful event improves psychological and physical health, yet predictors of these effects are not well established. The current study assessed exposure, narrative structure, affect word use, self-affirmation and discovery of meaning as predictors of anxiety, depressive and physical symptoms following expressive writing. Participants (N = 50) wrote on four occasions about a stressful event and completed self-report measures before writing and three months later. Essays were coded for stressor exposure (level of detail and whether participants remained on topic), narrative structure, self-affirmation and discovery of meaning. Linguistic Inquiry and Word Count software was used to quantify positive and negative affect word use. Controlling for baseline anxiety, more self-affirmation and detail about the event predicted lower anxiety symptoms, and more negative affect words (very high use) and more discovery of meaning predicted higher anxiety symptoms three months after writing. Findings highlight the importance of self-affirmation and exposure as predictors of benefit from expressive writing.

Correlation between word recognition score and intracochlear new bone and fibrous tissue after cochlear implantation in the human.

PubMed

Kamakura, Takefumi; Nadol, Joseph B

2016-09-01

Cochlear implantation is an effective, established procedure for patients with profound deafness. Although implant electrodes have been considered as biocompatible prostheses, surgical insertion of the electrode induces various changes within the cochlea. Immediate changes include insertional trauma to the cochlea. Delayed changes include a tissue response consisting of inflammation, fibrosis and neo-osteogenesis induced by trauma and an immunologic reaction to a foreign body. The goal of this study was to evaluate the effect of these delayed changes on the word recognition scores achieved post-operatively. Seventeen temporal bones from patients who in life had undergone cochlear implantation were prepared for light microscopy. We digitally calculated the volume of fibrous tissue and new bone within the cochlea using Amira(®) three-dimensional reconstruction software and assessed the correlations of various clinical and histologic factors. The postoperative CNC word score was positively correlated with total spiral ganglion cell count. Fibrous tissue and new bone were found within the cochlea of all seventeen specimens. The postoperative CNC word score was negatively correlated with the % volume of new bone within the scala tympani, scala media/vestibuli and the cochlea, but not with the % volume of fibrous tissue. The % volume of new bone in the scala media/vestibuli was positively correlated with the degree of intracochlear insertional trauma, especially trauma to the basilar membrane. Our results revealed that the % volume of new bone as well as residual total spiral ganglion cell count are important factors influencing post-implant hearing performance. New bone formation may be reduced by limiting insertional trauma and increasing the biocompatibility of the electrodes. Copyright © 2016 Elsevier B.V. All rights reserved.

Correlation between word recognition score and intracochlear new bone and fibrous tissue after cochlear implantation in the human

PubMed Central

Kamakura, Takefumi; Nadol, Joseph B

2016-01-01

Cochlear implantation is an effective, established procedure for patients with profound deafness. Although implant electrodes have been considered as biocompatible prostheses, surgical insertion of the electrode induces various changes within the cochlea. Immediate changes include insertional trauma to the cochlea. Delayed changes include a tissue response consisting of inflammation, fibrosis and neo-osteogenesis induced by trauma and an immunologic reaction to a foreign body. The goal of this study was to evaluate the effect of these delayed changes on the word recognition scores achieved post-operatively. Seventeen temporal bones from patients who in life had undergone cochlear implantation were prepared for light microscopy. We digitally calculated the volume of fibrous tissue and new bone within the cochlea using Amira® three-dimensional reconstruction software and assessed the correlations of various clinical and histologic factors. The postoperative CNC word score was positively correlated with total spiral ganglion cell count. Fibrous tissue and new bone were found within the cochlea of all seventeen specimens. The postoperative CNC word score was negatively correlated with the % volume of new bone within the scala tympani, scala media/vestibuli and the cochlea, but not with the % volume of fibrous tissue. The % volume of new bone in the scala media/vestibuli was positively correlated with the degree of intracochlear insertional trauma, especially trauma to the basilar membrane. Our results revealed that the % volume of new bone as well as residual total spiral ganglion cell count are important factors influencing post-implant hearing performance. New bone formation may be reduced by limiting insertional trauma and increasing the biocompatibility of the electrodes. PMID:27371868

Decision analysis in formulary decision making.

PubMed

Schechter, C B

1993-06-01

Although decision making about what drugs to include in an institutional formulary appears to lend itself readily to quantitative techniques such as decision analysis and cost-benefit analysis, a review of the literature reveals that very little has been published in this area. Several of the published decision analyses use non-standard techniques that are, at best, of unproved validity, and may seriously distort the underlying issues through covert under-counting or double-counting of various drug attributes. Well executed decision analyses have contributed to establishing that drug acquisition costs are not an adequate measure of the total economic impact of formulary decisions and that costs of labour and materials associated with drug administration must be calculated on an institution-specific basis to reflect unique staffing patterns, bulk purchasing practices, and the availability of surplus capacity within the institution which might be mobilised at little marginal cost. Clinical studies of newly introduced drugs frequently fail to answer the questions that weigh most heavily on the structuring of a formal assessment of a proposed formulary acquisition. Studies comparing a full spectrum of therapeutically equivalent drugs are rarely done, and individual studies of particular pairs of drugs can rarely be used together because of differences in methodology or patient populations studied. Gathering of institution-specific economic and clinical data is a daunting, labour-intensive task. In many institutions, incentive and reward structures discourage behaviour that takes the broad institutional perspective that is intrinsic to a good decision analysis.(ABSTRACT TRUNCATED AT 250 WORDS)

A Classroom Technique for Demonstrating Negative Attitudes toward Aging.

ERIC Educational Resources Information Center

Panek, Paul E.

1984-01-01

Students ask five individuals what three terms or words come to mind when they hear the term old person. The student prepares an overall list and frequency count of responses. Students present their findings to the class. Each response is discussed and its connotation (e.g., negative, positive, neutral) determined. (RM)

Counting on COUNTER: The Current State of E-Resource Usage Data in Libraries

ERIC Educational Resources Information Center

Welker, Josh

2012-01-01

Any librarian who has managed electronic resources has experienced the--for want of words--"joy" of gathering and analyzing usage statistics. Such statistics are important for evaluating the effectiveness of resources and for making important budgeting decisions. Unfortunately, the data are usually tedious to collect, inconsistently organized, of…

Error Biases in Inner and Overt Speech: Evidence from Tongue Twisters

ERIC Educational Resources Information Center

Corley, Martin; Brocklehurst, Paul H.; Moat, H. Susannah

2011-01-01

To compare the properties of inner and overt speech, Oppenheim and Dell (2008) counted participants' self-reported speech errors when reciting tongue twisters either overtly or silently and found a bias toward substituting phonemes that resulted in words in both conditions, but a bias toward substituting similar phonemes only when speech was…

Graded Lexicons: New Resources for Educational Purposes and Much More

ERIC Educational Resources Information Center

Gala, Núria; Billami, Mokhtar B.; François, Thomas; Bernhard, Delphine

2015-01-01

Computational tools and resources play an important role for vocabulary acquisition. Although a large variety of dictionaries and learning games are available, few resources provide information about the complexity of a word, either for learning or for comprehension. The idea here is to use frequency counts combined with intralexical variables to…

The Future of Humanities Labor

ERIC Educational Resources Information Center

Bauerlein, Mark

2008-01-01

"Publish or perish" has long been the formula of academic labor at research universities, but for many humanities professors that imperative has decayed into a simple rule of production. The publish-or-perish model assumed a peer-review process that maintained quality, but more and more it is the bare volume of printed words that counts. When…

Music in the First-Year Writing Classroom

ERIC Educational Resources Information Center

Strovas, Scott

2011-01-01

"Primary research counts, but we don't teach it." This was the sentiment, if these were not the actual words, of Lynee Lewis Gaillet in her critique of the traditional composition curriculum at the spring 2011 annual meeting of the College English Association in St. Petersburg. Gaillet proposes an alternative to furthering students' sometimes…

An Urdu Newspaper Word Count.

ERIC Educational Resources Information Center

Barker, Muhammad Abd-al-Rahman; And Others

This volume is the last of four works dealing with the Urdu language prepared by the Institute of Islamic Studies, McGill University. (See "A Course in Urdu," ED 013 435-7; "A Reader of Modern Urdu Poetry," ED 022 163; and "An Urdu Newspaper Reader," AL 002 107.) The present volume, although not intended primarily as…

His Lips Are Moving: Pinocchio Effect and Other Lexical Indicators of Political Deceptions

ERIC Educational Resources Information Center

Braun, Michael T.; Van Swol, Lyn M.; Vang, Lisa

2015-01-01

Using the software program LIWC (Linguistic Inquiry and Word Count), this study used political statements classified as truths and lies by website Politifact.com and examined lexical differences between statement type (lie or truth) and the setting (interactive or scripted) in which the statement was given. In interactive settings (where…

Creative Coin Combinations. Unit Plans.

ERIC Educational Resources Information Center

United States Mint (Dept. of Treasury), Washington, DC.

This unit of study for grades K-2 focuses on counting coins and coin equivalencies up to 50 cents, making use of a literature connection. The unit provides key words; recommends subject areas and approximate length of time; poses an essential question or problem; provides a unit introduction; notes four individual lessons ((1) For Sale!; (2)…

Relationship between abstract thinking and eye gaze pattern in patients with schizophrenia

PubMed Central

2014-01-01

Background Effective integration of visual information is necessary to utilize abstract thinking, but patients with schizophrenia have slow eye movement and usually explore limited visual information. This study examines the relationship between abstract thinking ability and the pattern of eye gaze in patients with schizophrenia using a novel theme identification task. Methods Twenty patients with schizophrenia and 22 healthy controls completed the theme identification task, in which subjects selected which word, out of a set of provided words, best described the theme of a picture. Eye gaze while performing the task was recorded by the eye tracker. Results Patients exhibited a significantly lower correct rate for theme identification and lesser fixation and saccade counts than controls. The correct rate was significantly correlated with the fixation count in patients, but not in controls. Conclusions Patients with schizophrenia showed impaired abstract thinking and decreased quality of gaze, which were positively associated with each other. Theme identification and eye gaze appear to be useful as tools for the objective measurement of abstract thinking in patients with schizophrenia. PMID:24739356

Do psychosis patients with poor insight show implicit awareness on the emotional stroop task?

PubMed

Wiffen, Benjamin D R; O'Connor, Jennifer A; Russo, Manuela; Falcone, M Aurora; Joseph, Candice; Kolliakou, Anna; Di Forti, Marta; Murray, Robin M; David, Anthony S

2014-01-01

The insight into psychosis can be assessed reliably by clinicians from interviews with patients. However, patients may retain implicit awareness of illness while lacking explicit awareness. In a sample of first-episode psychosis patients, we used a test of processing of mental illness-related and other negative words as a measure of implicit awareness to see how this varied in relation to insight. An emotional-counting Stroop task tested reaction times to words of three types: psychosis-related (e.g. 'crazy'), general negative (e.g. 'cancer') and neutral (e.g. 'oyster'). Data were available from 43 patients and 23 healthy controls. Patients' insight was assessed using the Schedule for the Assessment of Insight (SAI-E). Patients reacted slower than controls to words across all conditions, and both patients and controls reacted slower to salient and negative words than neutral words. There was a near significant interaction between word type and group (Wilks' lambda = 0.53, p = 0.055); patients experienced greater interference from negative rather than psychosis-related words (p = 0.003), and controls experienced greater interference from salient rather than negative words (p = 0.01). Within the patient group, there was a correlation between insight and interference on salient words (r = 0.33, p = 0.05), such that those with less insight experienced less interference on psychosis-related words. Psychosis-related words were less threatening and less self-relevant to psychosis patients with less insight. This suggests that the lack of awareness such patients have of their illness is genuine and more likely to be mediated by lower-level information processing mechanisms than strategies such as conscious, motivated denial. Copyright © 2013 S. Karger AG, Basel.

Clustering box office movie with Partition Around Medoids (PAM) Algorithm based on Text Mining of Indonesian subtitle

NASA Astrophysics Data System (ADS)

Alfarizy, A. D.; Indahwati; Sartono, B.

2017-03-01

Indonesia is the largest Hollywood movie industry target market in Southeast Asia in 2015. Hollywood movies distributed in Indonesia targeted people in all range of ages including children. Low awareness of guiding children while watching movies make them could watch any rated films even the unsuitable ones for their ages. Even after being translated into Bahasa and passed the censorship phase, words that uncomfortable for children to watch still exist. The purpose of this research is to cluster box office Hollywood movies based on Indonesian subtitle, revenue, IMDb user rating and genres as one of the reference for adults to choose right movies for their children to watch. Text mining is used to extract words from the subtitles and count the frequency for three group of words (bad words, sexual words and terror words), while Partition Around Medoids (PAM) Algorithm with Gower similarity coefficient as proximity matrix is used as clustering method. We clustered 624 movies from 2006 until first half of 2016 from IMDb. Cluster with highest silhouette coefficient value (0.36) is the one with 5 clusters. Animation, Adventure and Comedy movies with high revenue like in cluster 5 is recommended for children to watch, while Comedy movies with high revenue like in cluster 4 should be avoided to watch.

Memory and the Korsakoff syndrome: not remembering what is remembered.

PubMed

d'Ydewalle, Géry; Van Damme, Ilse

2007-03-14

Following the distinction between involuntary unconscious memory, involuntary conscious memory, and intentional retrieval, the focus of the present paper is whether there is an impairment of involuntary conscious memory among Korsakoff patients. At study, participants generated associations versus counted the number of letters with enclosed spaces or the number of vowels in the target words (semantic versus perceptual processing). In the Direct tests, stems were to be used to retrieve the targets with either guessing or no guessing allowed; in the Opposition tests, the stems were to be completed with the first word that came to mind but using another word if that first word was a target word; and in the Indirect tests, no reference was made to the target words from the study phase. In the Direct tests, the performance of Korsakoff patients was not necessarily worse than the one of healthy controls, provided guessing was allowed. More critical for the Korsakoff patients was the deficient involuntary conscious memory. The deficiency explained the suppression failures in the Opposition tests, the absence of performance differences between the Indirect and Opposition tests, the absence of a beneficial effect in providing information about the status of the stem, the performance boost when allowed to guess, and the very low rate of "Know"/"Remember" responses.

Real-time inference of word relevance from electroencephalogram and eye gaze

NASA Astrophysics Data System (ADS)

Wenzel, M. A.; Bogojeski, M.; Blankertz, B.

2017-10-01

Objective. Brain-computer interfaces can potentially map the subjective relevance of the visual surroundings, based on neural activity and eye movements, in order to infer the interest of a person in real-time. Approach. Readers looked for words belonging to one out of five semantic categories, while a stream of words passed at different locations on the screen. It was estimated in real-time which words and thus which semantic category interested each reader based on the electroencephalogram (EEG) and the eye gaze. Main results. Words that were subjectively relevant could be decoded online from the signals. The estimation resulted in an average rank of 1.62 for the category of interest among the five categories after a hundred words had been read. Significance. It was demonstrated that the interest of a reader can be inferred online from EEG and eye tracking signals, which can potentially be used in novel types of adaptive software, which enrich the interaction by adding implicit information about the interest of the user to the explicit interaction. The study is characterised by the following novelties. Interpretation with respect to the word meaning was necessary in contrast to the usual practice in brain-computer interfacing where stimulus recognition is sufficient. The typical counting task was avoided because it would not be sensible for implicit relevance detection. Several words were displayed at the same time, in contrast to the typical sequences of single stimuli. Neural activity was related with eye tracking to the words, which were scanned without restrictions on the eye movements.

Procura-PALavras (P-PAL): A Web-based interface for a new European Portuguese lexical database.

PubMed

Soares, Ana Paula; Iriarte, Álvaro; de Almeida, José João; Simões, Alberto; Costa, Ana; Machado, João; França, Patrícia; Comesaña, Montserrat; Rauber, Andreia; Rato, Anabela; Perea, Manuel

2018-05-31

In this article, we present Procura-PALavras (P-PAL), a Web-based interface for a new European Portuguese (EP) lexical database. Based on a contemporary printed corpus of over 227 million words, P-PAL provides a broad range of word attributes and statistics, including several measures of word frequency (e.g., raw counts, per-million word frequency, logarithmic Zipf scale), morpho-syntactic information (e.g., parts of speech [PoSs], grammatical gender and number, dominant PoS, and frequency and relative frequency of the dominant PoS), as well as several lexical and sublexical orthographic (e.g., number of letters; consonant-vowel orthographic structure; density and frequency of orthographic neighbors; orthographic Levenshtein distance; orthographic uniqueness point; orthographic syllabification; and trigram, bigram, and letter type and token frequencies), and phonological measures (e.g., pronunciation, number of phonemes, stress, density and frequency of phonological neighbors, transposed and phonographic neighbors, syllabification, and biphone and phone type and token frequencies) for ~53,000 lemmatized and ~208,000 nonlemmatized EP word forms. To obtain these metrics, researchers can choose between two word queries in the application: (i) analyze words previously selected for specific attributes and/or lexical and sublexical characteristics, or (ii) generate word lists that meet word requirements defined by the user in the menu of analyses. For the measures it provides and the flexibility it allows, P-PAL will be a key resource to support research in all cognitive areas that use EP verbal stimuli. P-PAL is freely available at http://p-pal.di.uminho.pt/tools .

Auditory attention enhances processing of positive and negative words in inferior and superior prefrontal cortex.

PubMed

Wegrzyn, Martin; Herbert, Cornelia; Ethofer, Thomas; Flaisch, Tobias; Kissler, Johanna

2017-11-01

Visually presented emotional words are processed preferentially and effects of emotional content are similar to those of explicit attention deployment in that both amplify visual processing. However, auditory processing of emotional words is less well characterized and interactions between emotional content and task-induced attention have not been fully understood. Here, we investigate auditory processing of emotional words, focussing on how auditory attention to positive and negative words impacts their cerebral processing. A Functional magnetic resonance imaging (fMRI) study manipulating word valence and attention allocation was performed. Participants heard negative, positive and neutral words to which they either listened passively or attended by counting negative or positive words, respectively. Regardless of valence, active processing compared to passive listening increased activity in primary auditory cortex, left intraparietal sulcus, and right superior frontal gyrus (SFG). The attended valence elicited stronger activity in left inferior frontal gyrus (IFG) and left SFG, in line with these regions' role in semantic retrieval and evaluative processing. No evidence for valence-specific attentional modulation in auditory regions or distinct valence-specific regional activations (i.e., negative > positive or positive > negative) was obtained. Thus, allocation of auditory attention to positive and negative words can substantially increase their processing in higher-order language and evaluative brain areas without modulating early stages of auditory processing. Inferior and superior frontal brain structures mediate interactions between emotional content, attention, and working memory when prosodically neutral speech is processed. Copyright © 2017 Elsevier Ltd. All rights reserved.

Body dysmorphic disorder: prevalence and outcomes in an oculofacial plastic surgery practice.

PubMed

Woolley, Austin J; Perry, Julian D

2015-06-01

To determine the prevalence, associated factors, and surgical outcomes of patients with body dysmorphic disorder in an oculofacial surgery practice. Retrospective cross-sectional analysis of a consecutive case series. Participants consisted of a consecutive series of 728 patients who completed the Dysmorphic Concern Questionnaire in an oculofacial surgery practice at The Cole Eye Institute between November 2013 and June 2014. A questionnaire score ≥9 was used as a positive screen for body dysmorphic disorder. Three control patients scoring ≤8 in the same month were randomly selected for each positive-screening patient. Main outcome measures included number of reoperations, surgical complications, and follow-up visits; preoperative and postoperative pain scores; and the technician word count. Categorical variables were analyzed with Pearson χ(2) tests or Fisher exact tests, while continuous variables were analyzed with Wilcoxon rank sum tests or t tests. A total of 728 patients completed the questionnaire and 50 (6.9%) scored 9 or more. Using a confidence interval of 95%, patients in the positive questionnaire screen group were younger (P = .004), had more eyelid surgeries (P = .007), experienced higher rates of complications after surgery (P = .002), reported higher postoperative pain scores (P = .034), required more reoperations (P = .050), and had a higher technician word count compared to the control group (P = .003). The prevalence of body dysmorphic disorder in an oculofacial surgical setting matches reports from other surgical specialties, and is significantly higher than in the general population. Patients screening positively for body dysmorphic disorder tend to have higher postoperative pain scores and more postoperative complications. Copyright © 2015 Elsevier Inc. All rights reserved.

How language affects peer responsiveness in an online cancer support group: implications for treatment design and facilitation.

PubMed

Lewallen, Andrea C; Owen, Jason E; Bantum, Erin O'Carroll; Stanton, Annette L

2014-07-01

Little is known about how positive group interactions develop in online support groups. Previous research suggests that message content, self-disclosure, and emotional expression may be central to this process. The purpose of this study was to identify linguistic and qualitative characteristics of participants' messages that predict how other participants respond in an asynchronous discussion board for cancer-related distress. 525 discussion board messages posted by 116 participants in the health-space.net trial were collected. Linguistic Inquiry and Word Count (2001) was used to identify linguistic markers of emotional expression and pronoun use. Message topics were identified using qualitative analysis. Logistic regression and chi-square analyses were used to evaluate whether linguistic characteristics and message topics predicted receiving a response from other survivors in the online group. Messages were more likely to receive a reply if they had higher word count, OR=1.30, p=0.001, or fewer second-person pronouns, OR=0.923, p=0.040. Messages with high levels of positive emotion were less likely to receive a reply, OR=0.94, p=0.03. Common message topics related to self-disclosure (51%), the support group (38.5%), medical experiences (30.9%), and experiences with the website (30.1%). Several message topics were associated with greater likelihood of a reply: self-disclosure (p<0.001), medical experiences (p=0.01), relationship issues (p=0.05), and introductory posts (p<0.01). Informing participants how to introduce themselves to the group (i.e., detailed and self-focused messages discussing personal issues such as the effects of illness on life and relationships) could promote cohesion and enhance overall engagement with Internet-based support groups or interventions. Copyright © 2014 John Wiley & Sons, Ltd.

Are Female Applicants Disadvantaged in National Institutes of Health Peer Review? Combining Algorithmic Text Mining and Qualitative Methods to Detect Evaluative Differences in R01 Reviewers' Critiques.

PubMed

Magua, Wairimu; Zhu, Xiaojin; Bhattacharya, Anupama; Filut, Amarette; Potvien, Aaron; Leatherberry, Renee; Lee, You-Geon; Jens, Madeline; Malikireddy, Dastagiri; Carnes, Molly; Kaatz, Anna

2017-05-01

Women are less successful than men in renewing R01 grants from the National Institutes of Health. Continuing to probe text mining as a tool to identify gender bias in peer review, we used algorithmic text mining and qualitative analysis to examine a sample of critiques from men's and women's R01 renewal applications previously analyzed by counting and comparing word categories. We analyzed 241 critiques from 79 Summary Statements for 51 R01 renewals awarded to 45 investigators (64% male, 89% white, 80% PhD) at the University of Wisconsin-Madison between 2010 and 2014. We used latent Dirichlet allocation to discover evaluative "topics" (i.e., words that co-occur with high probability). We then qualitatively examined the context in which evaluative words occurred for male and female investigators. We also examined sex differences in assigned scores controlling for investigator productivity. Text analysis results showed that male investigators were described as "leaders" and "pioneers" in their "fields," with "highly innovative" and "highly significant research." By comparison, female investigators were characterized as having "expertise" and working in "excellent" environments. Applications from men received significantly better priority, approach, and significance scores, which could not be accounted for by differences in productivity. Results confirm our previous analyses suggesting that gender stereotypes operate in R01 grant peer review. Reviewers may more easily view male than female investigators as scientific leaders with significant and innovative research, and score their applications more competitively. Such implicit bias may contribute to sex differences in award rates for R01 renewals.

Are Female Applicants Disadvantaged in National Institutes of Health Peer Review? Combining Algorithmic Text Mining and Qualitative Methods to Detect Evaluative Differences in R01 Reviewers' Critiques

PubMed Central

Magua, Wairimu; Zhu, Xiaojin; Bhattacharya, Anupama; Filut, Amarette; Potvien, Aaron; Leatherberry, Renee; Lee, You-Geon; Jens, Madeline; Malikireddy, Dastagiri; Carnes, Molly

2017-01-01

Abstract Background: Women are less successful than men in renewing R01 grants from the National Institutes of Health. Continuing to probe text mining as a tool to identify gender bias in peer review, we used algorithmic text mining and qualitative analysis to examine a sample of critiques from men's and women's R01 renewal applications previously analyzed by counting and comparing word categories. Methods: We analyzed 241 critiques from 79 Summary Statements for 51 R01 renewals awarded to 45 investigators (64% male, 89% white, 80% PhD) at the University of Wisconsin-Madison between 2010 and 2014. We used latent Dirichlet allocation to discover evaluative “topics” (i.e., words that co-occur with high probability). We then qualitatively examined the context in which evaluative words occurred for male and female investigators. We also examined sex differences in assigned scores controlling for investigator productivity. Results: Text analysis results showed that male investigators were described as “leaders” and “pioneers” in their “fields,” with “highly innovative” and “highly significant research.” By comparison, female investigators were characterized as having “expertise” and working in “excellent” environments. Applications from men received significantly better priority, approach, and significance scores, which could not be accounted for by differences in productivity. Conclusions: Results confirm our previous analyses suggesting that gender stereotypes operate in R01 grant peer review. Reviewers may more easily view male than female investigators as scientific leaders with significant and innovative research, and score their applications more competitively. Such implicit bias may contribute to sex differences in award rates for R01 renewals. PMID:28281870

[Left ventricular volume determination by first-pass radionuclide angiocardiography using a semi-geometric count-based method].

PubMed

Kinoshita, S; Suzuki, T; Yamashita, S; Muramatsu, T; Ide, M; Dohi, Y; Nishimura, K; Miyamae, T; Yamamoto, I

1992-01-01

A new radionuclide technique for the calculation of left ventricular (LV) volume by the first-pass (FP) method was developed and examined. Using a semi-geometric count-based method, the LV volume can be measured by the following equation: CV = CM/(L/d). V = (CT/CV) x d3 = (CT/CM) x L x d2. (V = LV volume, CV = voxel count, CM = the maximum LV count, CT = the total LV count, L = LV depth where the maximum count was obtained, and d = pixel size.) This theorem was applied to FP LV images obtained in the 30-degree right anterior oblique position. Frame-mode acquisition was performed and the LV end-diastolic maximum count and total count were obtained. The maximum LV depth was obtained as the maximum width of the LV on the FP end-diastolic image, using the assumption that the LV cross-section is circular. These values were substituted in the above equation and the LV end-diastolic volume (FP-EDV) was calculated. A routine equilibrium (EQ) study was done, and the end-diastolic maximum count and total count were obtained. The LV maximum depth was measured on the FP end-diastolic frame, as the maximum length of the LV image. Using these values, the EQ-EDV was calculated and the FP-EDV was compared to the EQ-EDV. The correlation coefficient for these two values was r = 0.96 (n = 23, p less than 0.001), and the standard error of the estimated volume was 10 ml.(ABSTRACT TRUNCATED AT 250 WORDS)

What Counts as Effective Input for Word Learning?

ERIC Educational Resources Information Center

Shneidman, Laura A.; Arroyo, Michelle E.; Levine, Susan C.; Goldin-Meadow, Susan

2013-01-01

The talk children hear from their primary caregivers predicts the size of their vocabularies. But children who spend time with multiple individuals also hear talk that others direct to them, as well as talk not directed to them at all. We investigated the effect of linguistic input on vocabulary acquisition in children who routinely spent time…

The African Union and Conflict Management

DTIC Science & Technology

2006-03-02

USAWC STRATEGY RESEARCH PROJECT THE AFRICAN UNION AND CONFLICT MANAGEMENT by Lieutenant Colonel Flemming Mathiasen Royal Danish Army Colonel Patrick...AUTHOR: Lieutenant Colonel Flemming Mathiasen TITLE: The African Union and Conflict Management FORMAT: Strategy Research Project DATE: 2 March 2006...WORD COUNT: 5850 PAGES: 28 KEY TERMS: African Union, Africa, Conflict Management , Capabilities CLASSIFICATION: Unclassified Africa is a continent with a

Which Measures Count for the Public Interest?

ERIC Educational Resources Information Center

Frankenstein, Marilyn

2015-01-01

The "measure" of this article is a bit different from most--there are almost as many words in the notes as in the body of the text. Notes are a significant part of my writing, both in terms of recognizing the connections and complexities among issues, trying to capture the richness of interdisciplinary teaching, and in terms of…

Dialogue, Field, and Power

ERIC Educational Resources Information Center

Apple, Michael W.

2017-01-01

"The Journal of Educational Administration and History" has played an important role as a site for analyses that seek to expand both the academic and the ethical/political concerns of the field. A key word here is field. What counts as the field? What are its boundaries? Who is inside and who is outside? How has that changed over time?…

Effects of Quantitative Linguistic Feedback to Caregivers of Young Children: A Pilot Study in China

ERIC Educational Resources Information Center

Zhang, Yiwen; Xu, Xiaojuan; Jiang, Fan; Gilkerson, Jill; Xu, Dongxin; Richards, Jeffrey A.; Harnsberger, James; Topping, Keith J.

2015-01-01

Changes in natural language environments of families receiving quantitative language feedback in Shanghai were investigated. Volunteer parents of 22 children aged 5 to 30 months were recruited from a hospital and a learning center. Quantitative measures of adult word count and conversational turns with children were collected regularly over 6…

Numerosity and Number Signs in Deaf Nicaraguan Adults

ERIC Educational Resources Information Center

Flaherty, Molly; Senghas, Ann

2011-01-01

What abilities are entailed in being numerate? Certainly, one is the ability to hold the exact quantity of a set in mind, even as it changes, and even after its members can no longer be perceived. Is counting language necessary to track and reproduce exact quantities? Previous work with speakers of languages that lack number words involved…

Moving Forward Vice Straight Ahead

DTIC Science & Technology

2010-03-25

Discrimination, Values, Equal Protection, Bias, Don’t Ask, Don’t Tell 16. SECURITY CLASSIFICATION OF: 17. LIMITATION OF ABSTRACT 18. NUMBER OF...FORMAT: Strategy Research Project DATE: 25 March 2010 WORD COUNT: 6,303 PAGES: 36 KEY TERMS: Minorities, Discrimination, Values, Equal ... social and political environments and altering demands. Technology, 2 globalization, and changing social norms have dramatically changed life in

National Strategic Communication: Back to the Future

DTIC Science & Technology

2013-03-01

Word Count: 10,876 14. ABSTRACT America is engaged in a struggle for ideas with those who believe in radical Salafi jihadist ideology. Both...properly to compete and win the struggle for ideas. Historically, America has been highly successful in national strategic communication and...Public Diplomacy Classification: Unclassified America is engaged in a struggle for ideas with those who believe

Normal and compound poisson approximations for pattern occurrences in NGS reads.

PubMed

Zhai, Zhiyuan; Reinert, Gesine; Song, Kai; Waterman, Michael S; Luan, Yihui; Sun, Fengzhu

2012-06-01

Next generation sequencing (NGS) technologies are now widely used in many biological studies. In NGS, sequence reads are randomly sampled from the genome sequence of interest. Most computational approaches for NGS data first map the reads to the genome and then analyze the data based on the mapped reads. Since many organisms have unknown genome sequences and many reads cannot be uniquely mapped to the genomes even if the genome sequences are known, alternative analytical methods are needed for the study of NGS data. Here we suggest using word patterns to analyze NGS data. Word pattern counting (the study of the probabilistic distribution of the number of occurrences of word patterns in one or multiple long sequences) has played an important role in molecular sequence analysis. However, no studies are available on the distribution of the number of occurrences of word patterns in NGS reads. In this article, we build probabilistic models for the background sequence and the sampling process of the sequence reads from the genome. Based on the models, we provide normal and compound Poisson approximations for the number of occurrences of word patterns from the sequence reads, with bounds on the approximation error. The main challenge is to consider the randomness in generating the long background sequence, as well as in the sampling of the reads using NGS. We show the accuracy of these approximations under a variety of conditions for different patterns with various characteristics. Under realistic assumptions, the compound Poisson approximation seems to outperform the normal approximation in most situations. These approximate distributions can be used to evaluate the statistical significance of the occurrence of patterns from NGS data. The theory and the computational algorithm for calculating the approximate distributions are then used to analyze ChIP-Seq data using transcription factor GABP. Software is available online (www-rcf.usc.edu/∼fsun/Programs/NGS_motif_power/NGS_motif_power.html). In addition, Supplementary Material can be found online (www.liebertonline.com/cmb).

MIL-STD-1553B Marconi LSI chip set in a remote terminal application

NASA Astrophysics Data System (ADS)

Dimarino, A.

1982-11-01

Marconi Avionics is utilizing the MIL-STD-1553B LSI Chip Set in the SCADC Air Data Computer application to perform all of the required remote terminal MIL-STD-1553B protocol functions. Basic components of the RTU are the dual redundant chip set, CT3231 Transceivers, 256 x 16 RAM and a Z8002 microprocessor. Basic transfers are to/from the RAM command of the bus controller or Z8002 processor. During transfers from the processor to the RAM, the chip set busy bit is set for a period not exceeding 250 microseconds. When the transfer is complete, the busy bit is released and transfers to the data bus occur on command. The LSI Chip Set word count lines are used to locate each data word in the local memory and 4 mode codes are used in the application: reset remote terminal, transmit status word, transmitter shut-down, and override transmitter shutdown.

From Grammatical Number to Exact Numbers: Early Meanings of ‘One,’ ‘Two,’ and ‘Three’ in English, Russian, and Japanese

PubMed Central

Sarnecka, Barbara W.; Kamenskaya, Valentina G.; Yamana, Yuko; Ogura, Tamiko; Yudovina, Yulia. B.

2007-01-01

This study examined whether singular/plural marking in a language helps children learn the meanings of the words ‘one,’ ‘two,’ and ‘three.’ First, CHILDES data in English, Russian (which marks singular/plural), and Japanese (which does not) were compared for frequency, variability, and contexts of number-word use. Then young children in the USA, Russia, and Japan were tested on Counting and Give-N tasks. More English and Russian learners knew the meaning of each number word than Japanese learners, regardless of whether singular/plural cues appeared in the task itself (e.g., “Give two apples” vs. “Give two”). These results suggest that the learning of “one,” “two” and “three” is supported by the conceptual framework of grammatical number, rather than that of integers. PMID:17070794

It’s the Thought That Counts

PubMed Central

DeWall, C. Nathan; Twenge, Jean M.; Gitter, Seth A.; Baumeister, Roy F.

2008-01-01

Prior research has confirmed a casual path between social rejection and aggression, but there has been no clear explanation of why social rejection causes aggression. A series of experiments tested the hypothesis that social exclusion increases the inclination to perceive neutral information as hostile, which has implications for aggression. Compared to accepted and control participants, socially excluded participants were more likely to rate aggressive and ambiguous words as similar (Experiment 1a), to complete word fragments with aggressive words (Experiment 1b), and to rate the ambiguous actions of another person as hostile (Experiments 2-4). This hostile cognitive bias among excluded people was related to their aggressive treatment of others who were not involved in the exclusion experience (Experiments 2 and 3), and others with whom participants had no previous contact (Experiment 4). These findings provide a first step in resolving the mystery of why social exclusion produces aggression. PMID:19210063

Abstract knowledge versus direct experience in processing of binomial expressions

PubMed Central

Morgan, Emily; Levy, Roger

2016-01-01

We ask whether word order preferences for binomial expressions of the form A and B (e.g. bread and butter) are driven by abstract linguistic knowledge of ordering constraints referencing the semantic, phonological, and lexical properties of the constituent words, or by prior direct experience with the specific items in questions. Using forced-choice and self-paced reading tasks, we demonstrate that online processing of never-before-seen binomials is influenced by abstract knowledge of ordering constraints, which we estimate with a probabilistic model. In contrast, online processing of highly frequent binomials is primarily driven by direct experience, which we estimate from corpus frequency counts. We propose a trade-off wherein processing of novel expressions relies upon abstract knowledge, while reliance upon direct experience increases with increased exposure to an expression. Our findings support theories of language processing in which both compositional generation and direct, holistic reuse of multi-word expressions play crucial roles. PMID:27776281

Music and suicidality: a quantitative review and extension.

PubMed

Stack, Steven; Lester, David; Rosenberg, Jonathan S

2012-12-01

This article provides the first quantitative review of the literature on music and suicidality. Multivariate logistic regression techniques are applied to 90 findings from 21 studies. Investigations employing ecological data on suicide completions are 19.2 times more apt than other studies to report a link between music and suicide. More recent and studies with large samples are also more apt than their counterparts to report significant results. Further, none of the studies based on experimental research designs found a link between music and suicide ideation, prompting us to do a brief content analysis of 24 suicide songs versus 24 nonsuicide songs from the same album. Using Linguistic Inquiry and Word Count software, we found no difference in the content of the suicide songs and controls, including the percentage of sad words, negative affect, and mentions of death, thus providing an explanation for nonfindings from experimental research. In summary, ecologically based (which capture at-risk persons not in typical school-based samples) and more recent investigations (which have used superior or new methodologies) tend to demonstrate a linkage between music and suicidality. Experimental research is needed with a control group of songs from an alternative genre with low suicidogenic content. © 2012 The American Association of Suicidology.

Childhood remembered: Reports of both unique and repeated events.

PubMed

Peterson, Carole; Baker-Ward, Lynne; Grovenstein, Tiffany N

2016-01-01

To explore the significance of repeated memories for individuals' personal histories, we compared the characteristics of young adults' unique and repeated memories of childhood experiences. Memory type (unique vs. repeated) was a within-participant variable. In Experiment 1, college-age participants generated as many early memories as possible in 4 minutes; in Experiment 2, another sample provided complete reports of five early memories in each condition. In both experiments, participants rated the vividness, biographical importance and personal meaning of each memory and labelled the accompanying emotion. Unique memories were more vivid than repeated memories as well as more likely to include negative emotion, regardless of the method of reporting. Most importantly, college students rated their memories for unique and repeated events as equivalently infused with personal meaning. Analysis of the content of the memories reported in Experiment 2 established that unique and repeated memories did not differ in word count or percentages of perceptual terms or words indicating positive affect, although unique memories contained a greater percentage of negative affect. Additional analyses of content provided evidence for differences in the functions served by unique and repeated memories. The results have implications for the study of autobiographical memory and for identifying over-general memories.

Public anxiety and information seeking following the H1N1 outbreak: blogs, newspaper articles, and Wikipedia visits.

PubMed

Tausczik, Yla; Faasse, Kate; Pennebaker, James W; Petrie, Keith J

2012-01-01

Web-based methodologies may provide a new and unique insight into public response to an infectious disease outbreak. This naturalistic study investigates the effectiveness of new web-based methodologies in assessing anxiety and information seeking in response to the 2009 H1N1 outbreak by examining language use in weblogs ("blogs"), newspaper articles, and web-based information seeking. Language use in blogs and newspaper articles was assessed using Linguistic Inquiry and Word Count, and information seeking was examined using the number of daily visits to H1N1-relevant Wikipedia articles. The results show that blogs mentioning "swine flu" used significantly higher levels of anxiety, health, and death words and lower levels of positive emotion words than control blogs. Change in language use on blogs was strongly related to change in language use in newspaper coverage for the same day. Both the measure of anxiety in blogs mentioning "swine flu" and the number of Wikipedia visits followed similar trajectories, peaking shortly after the announcement of H1N1 and then declining rapidly. Anxiety measured in blogs preceded information seeking on Wikipedia. These results show that the public reaction to H1N1 was rapid and short-lived. This research suggests that analysis of web behavior can provide a source of naturalistic data on the level and changing pattern of public anxiety and information seeking following the outbreak of a public health emergency.

READINESS AND PHONETIC ANALYSIS OF WORDS IN GRADES K-2.

ERIC Educational Resources Information Center

CAMPBELL, BONNIE; QUINN, GOLDIE

THE METHOD USED AT THE BELLEVUE, NEBRASKA, PUBLIC SCHOOLS TO TEACH READING READINESS AND THE PHONETIC ANALYSIS OF WORDS IN KINDERGARTEN THROUGH GRADE TWO IS DESCRIBED. SUGGESTIONS FOR TEACHING THE READINESS SKILLS OF AUDITORY AND VISUAL PERCEPTION, VOCABULARY SKILLS OF WORD RECOGNITION AND WORD MEANING, AND THE PHONETIC ANALYSIS OF WORDS IN GRADES…

Numerosity and number signs in deaf Nicaraguan adults

PubMed Central

Flaherty, Molly; Senghas, Ann

2012-01-01

What abilities are entailed in being numerate? Certainly, one is the ability to hold the exact quantity of a set in mind, even as it changes, and even after its members can no longer be perceived. Is counting language necessary to track and reproduce exact quantities? Previous work with speakers of languages that lack number words involved participants only from non-numerate cultures. Deaf Nicaraguan adults all live in a richly numerate culture, but vary in counting ability, allowing us to experimentally differentiate the contribution of these two factors. Thirty deaf and 10 hearing participants performed 11 one-to-one matching and counting tasks. Results suggest that immersion in a numerate culture is not enough to make one fully numerate. A memorized sequence of number symbols is required, though even an unconventional, iconic system is sufficient. Additionally, we find that within a numerate culture, the ability to track precise quantities can be acquired in adulthood. PMID:21899832

Effects of donepezil on verbal memory after semantic processing in healthy older adults.

PubMed

FitzGerald, David B; Crucian, Gregory P; Mielke, Jeannine B; Shenal, Brian V; Burks, David; Womack, Kyle B; Ghacibeh, Georges; Drago, Valeria; Foster, Paul S; Valenstein, Edward; Heilman, Kenneth M

2008-06-01

To learn if acetylcholinesterase inhibitors alter verbal recall by improving semantic encoding in a double-blind randomized placebo-controlled trial. Cholinergic supplementation has been shown to improve delayed recall in adults with Alzheimer disease. With functional magnetic resonance imaging, elderly adults, when compared with younger participants, have reduced cortical activation with semantic processing. There have been no studies investigating the effects of cholinergic supplementation on semantic encoding in healthy elderly adults. Twenty elderly participants (mean age 71.5, SD+/-5.2) were recruited. All underwent memory testing before and after receiving donepezil (5 mg, n=11 or 10 mg, n=1) or placebo (n=8) for 6 weeks. Memory was tested using a Levels of Processing task, where a series of words are presented serially. Subjects were either asked to count consonants in a word (superficially process) or decide if the word was "pleasant" or "unpleasant" (semantically process). After 6 weeks of donepezil or placebo treatment, immediate and delayed recall of superficially and semantically processed words was compared with baseline performance. Immediate and delayed recall of superficially processed words did not show significant changes in either treatment group. With semantic processing, both immediate and delayed recall performance improved in the donepezil group. Our results suggest that when using semantic encoding, older normal subjects may be aided by anticholinesterase treatment. However, this treatment does not improve recall of superficially encoded words.

Coordinating the United States Interagency Partnering Effort

DTIC Science & Technology

2013-03-01

Association of Colleges and Schools, 3624 Market Street, Philadelphia, PA 19104, (215) 662-5606. The Commission on Higher Education is an institutional...Distribution is Unlimited. 13. SUPPLEMENTARY NOTES Word Count: 7049 14. ABSTRACT International Partnering efforts have become the primary way for...Department of State and the United States Agency for International Development have accelerated as a means of avoiding conflict and addressing post

Strategic Leadership Challenges with the Joint Information Environment

DTIC Science & Technology

2013-03-01

Approved for Public Release. Distribution is Unlimited. 13. SUPPLEMENTARY NOTES Word Count: 6,852 14. ABSTRACT In the face of growing cyber...USCYBERCOM Classification: Unclassified In the face of growing cyber attacks against Department of Defense (DoD...million computers, and 250,000 mobile devices (i.e. Blackberry ). All of this IT capability represented an investment of $37 Billion in the Fiscal Year

Enabling Soldiers with Robots

DTIC Science & Technology

2012-04-17

difficult to imagine that lethal robots would find themselves among the list of particularly inhumane weapons. Albert Einstein whose research was...REPORT DATE (DD-MM-YYYY) 17-04-2012 2. REPORT TYPE Strategy Research Project 3. DATES COVERED (From - To) 4. TITLE AND SUBTITLE Enabling...Enabling Soldiers with Robots FORMAT: Strategy Research Project DATE : 17 April 2012 WORD COUNT: 5202 PAGES: 26 KEY TERMS: Ethics, Doctrine

Military Cyberspace: From Evolution to Revolution

DTIC Science & Technology

2012-02-08

support the GCCs and enable USCYBERCOM to accomplish its mission? 15. SUBJECT TERMS Network Operations, Global Information Grid ( GIG ), Network...DATE: 08 February 2012 WORD COUNT: 5,405 PAGES: 30 KEY TERMS: Network Operations, Global Information Grid ( GIG ), Network Architecture...defense of the DOD global information grid ( GIG ). The DOD must pursue an enterprise approach to network management in the cyberspace domain to

Numbers Talk--Words Count: Language Policy and Adult Numeracy Education in Wales and New Zealand

ERIC Educational Resources Information Center

Coben, Diana; Miller-Reilly, Barbara

2014-01-01

In this paper we review and compare language policy in relation to adult numeracy education in Wales and New Zealand with respect to the Maori and Welsh languages in the latest stage of our international comparative study of adult numeracy education. While much has been written about the relationship between language and literacy, the relationship…

Counting Words: Successful Sentences for Beginning ESL Adult Learners Using the Product Approach

ERIC Educational Resources Information Center

Gardner, Susanne

2017-01-01

The majority of correctional students of English as a second language (ESL) in Maryland come to school with limited formal education in their first language. Education has not been prioritized, and formal writing ability is absent. It then becomes a challenge to motivate students to successful writing, as is required by the state. ESL students at…

Administration of different Lactobacillus strains in fermented oatmeal soup: in vivo colonization of human intestinal mucosa and effect on the indigenous flora.

PubMed Central

Johansson, M L; Molin, G; Jeppsson, B; Nobaek, S; Ahrné, S; Bengmark, S

1993-01-01

In vivo colonization by different Lactobacillus strains on human intestinal mucosa of healthy volunteers was studied together with the effect of Lactobacillus administration on different groups of indigenous bacteria. A total of 19 test strains were administered in fermented oatmeal soup containing 5 x 10(6) CFU of each strain per ml by using a dose of 100 ml of soup per day for 10 days. Biopsies were taken from both the upper jejunum and the rectum 1 day before administration was started and 1 and 11 days after administration was terminated. The administration significantly increased the Lactobacillus counts on the jejunum mucosa, and high levels remained 11 days after administration was terminated. The levels of streptococci increased by 10- to 100-fold in two persons, and the levels of sulfite-reducing clostridia in the jejunum decreased by 10- to 100-fold in three of the volunteers 1 day after administration was terminated. In recta, the anaerobic bacterium counts and the gram-negative anaerobic bacterium counts decreased significantly by the end of administration. Furthermore, a decrease in the number of members of the Enterobacteriaceae by 1,000-fold was observed on the rectal mucosa of two persons. Randomly picked Lactobacillus isolates were identified phenotypically by API 50CH tests and genotypically by the plasmid profiles of strains and by restriction endonuclease analysis of chromosomal DNAs.(ABSTRACT TRUNCATED AT 250 WORDS) Images PMID:8439146

A disparity of words: racial differences in oncologist-patient communication about clinical trials.

PubMed

Eggly, Susan; Barton, Ellen; Winckles, Andrew; Penner, Louis A; Albrecht, Terrance L

2015-10-01

African Americans are consistently underrepresented in cancer clinical trials. Minority under-enrolment may be, in part, due to differences in the way clinical trials are discussed in oncology visits with African American vs. White patients. To investigate differences in oncologist-patient communication during offers to participate in clinical trials in oncology visits with African American and White patients. From an archive of video-recorded oncology visits, we selected all visits with African American patients that included a trial offer (n = 11) and a matched sample of visits with demographically/medically comparable White patients (n = 11). Using mixed qualitative-quantitative methods, we assessed differences by patient race in (i) word count of entire visits and (ii) frequency of mentions and word count of discussions of clinical trials and key elements of consent. Visits with African American patients, compared to visits with White patients, were shorter overall and included fewer mentions of and less discussion of clinical trials. Also, visits with African Americans included less discussion of the purpose and risks of trials offered, but more discussion of voluntary participation. African American patients may make decisions about clinical trial participation based on less discussion with oncologists than do White patients. Possible explanations include a less active communication style of African Americans in medical visits, oncologists' concerns about patient mistrust, and/or oncologist racial bias. Findings suggest oncologists should pay more conscious attention to developing the topic of clinical trials with African American patients, particularly purpose and risks. © 2013 John Wiley & Sons Ltd.

A Joint Force Medical Command is Required to Fix Combat Casualty Care

DTIC Science & Technology

2017-10-05

that poses an operations security risk. Author: ☒ PA: ☒ 13. SUPPLEMENTARY NOTES Word Count: 10,665 14. ABSTRACT The Military Health System...15. SUBJECT TERMS Military Health System, Joint Trauma System, Defense Health Agency, PROFIS 16. SECURITY CLASSIFICATION OF: 17...The Military Health System (MHS) is required to provide medical operational forces for military and contingency operations while also providing

The Proposed 2009 War Powers Consultation Act

DTIC Science & Technology

2009-03-19

both political branches of government participate in matters of national security. 15. SUBJECT TERMS Separation of Powers , National Security Law...Strategy Research Project DATE: 19 March 2009 WORD COUNT: 8,090 PAGES: 46 KEY TERMS: Separation of Powers , National Security Law, Constitution...Arthur Bestor, “ Separation of Powers in the Domain of Foreign Affairs: The Intent of the Constitution Historically Examined,” Seton Hall L. Rev. 5 (1974

Inspiration to Teach--Reflections on Friedrich Froebel and Why He Counts in Early Childhood Education

ERIC Educational Resources Information Center

Moore, Mary Ruth; Campos, David

2010-01-01

The year 2010 is the 238th anniversary of Friedrich Froebel's birth, yet his spirit and philosophy of teaching are alive in the hearts and minds of 14 Texas early childhood teachers. In 2006, teacher education students at the University of the Incarnate Word (UIW), San Antonio, were inspired by Froebel, the founder of early kindergartens. Wanting…

Evidence for the Pinocchio Effect: Linguistic Differences between Lies, Deception by Omissions, and Truths

ERIC Educational Resources Information Center

Van Swol, Lyn M.; Braun, Michael T.; Malhotra, Deepak

2012-01-01

The study used Linguistic Inquiry and Word Count and Coh-Metrix software to examine linguistic differences with deception in an ultimatum game. In the game, the Allocator was given an amount of money to divide with the Receiver. The Receiver did not know the precise amount the Allocator had to divide, and the Allocator could use deception.…

Illicit Drug Trade-Impact on United States National Health Care

DTIC Science & Technology

2013-03-01

pobreza en Mexico sube a 52 milliones,” CNN Expansion, July 29, 2011, http://www.cnnexpansion.com/ economia /2011/07/29/pobreza- mexico -2010 (accessed...Unlimited. 13. SUPPLEMENTARY NOTES Word Count: 5,569 14. ABSTRACT The United States and Mexico face a myriad of threats to national security...Policy Classification: Unclassified The United States and Mexico face a myriad of threats to national security

SCOPE (Standardized Curriculum-Oriented Pupil Evaluation) Mathematics. Test Book Grade Three.

ERIC Educational Resources Information Center

Northwest Territories Dept. of Education, Yellowknife. Programs and Evaluation Branch.

Following instructions provided in the teacher's manual, the SCOPE Mathematics Achievement Test booklet for grade 3 presents 11 mathematical concepts. Testing items include: skip counting by 2's, 5's, and 10's to 100, 3's to 30, and 4's to 40; writing number words to 20; identifying and naming 100's, 10's, and 1's in three-digit numerals; reading…

How do I love thee? Let me count the words: the social effects of expressive writing.

PubMed

Slatcher, Richard B; Pennebaker, James W

2006-08-01

Writing about emotional experiences is associated with a host of positive outcomes. This study extended the expressive-writing paradigm to the realm of romantic relationships to examine the social effects of writing. For 3 consecutive days, one person from each of 86 dating couples either wrote about his or her deepest thoughts and feelings about the relationship or wrote about his or her daily activities. In the days before and after writing, instant messages were collected from the couples. Participants who wrote about their relationship were significantly more likely to still be dating their romantic partners 3 months later. Linguistic analyses of the instant messages revealed that participants and their partners used significantly more positive and negative emotion words in the days following the expressive-writing manipulation if the participants had written about their relationship than if they had written about their daily activities. Increases in positive emotion words partially mediated the relation between expressive writing and relationship stability.

An experimental investigation of verbal expression of emotion in anorexia and bulimia nervosa.

PubMed

Davies, Helen; Swan, Nicola; Schmidt, Ulrike; Tchanturia, Kate

2012-11-01

This study aims to use an experimental design to investigate verbal expression of emotion in anorexia nervosa (AN) and bulimia nervosa (BN). Forty-two patients with AN, 26 patients with BN and 34 healthy controls (HCs) were videoed talking about discrete emotional experiences. Talks were analysed using the Linguistic Inquiry and Word Count. Participants also completed the Emotion Regulation Questionnaire (ERQ). People with AN used fewer words when describing their emotional experiences and fewer positive affect words than HCs. People with BN were indistinguishable from HCs. Both ED groups had higher scores on the suppression subscale of the ERQ compared with HCs. Suppression was negatively correlated with negative verbal expression. This study highlights differences between AN and BN in emotion expression. It supports a model of AN, which highlights emotion inhibition as a maintaining factor of the illness. Methods of emotion regulation in EDs may contribute to increased negative mood and poorer social functioning. Copyright © 2011 John Wiley & Sons, Ltd and Eating Disorders Association.

Content Abstract Classification Using Naive Bayes

NASA Astrophysics Data System (ADS)

Latif, Syukriyanto; Suwardoyo, Untung; Aldrin Wihelmus Sanadi, Edwin

2018-03-01

This study aims to classify abstract content based on the use of the highest number of words in an abstract content of the English language journals. This research uses a system of text mining technology that extracts text data to search information from a set of documents. Abstract content of 120 data downloaded at www.computer.org. Data grouping consists of three categories: DM (Data Mining), ITS (Intelligent Transport System) and MM (Multimedia). Systems built using naive bayes algorithms to classify abstract journals and feature selection processes using term weighting to give weight to each word. Dimensional reduction techniques to reduce the dimensions of word counts rarely appear in each document based on dimensional reduction test parameters of 10% -90% of 5.344 words. The performance of the classification system is tested by using the Confusion Matrix based on comparative test data and test data. The results showed that the best classification results were obtained during the 75% training data test and 25% test data from the total data. Accuracy rates for categories of DM, ITS and MM were 100%, 100%, 86%. respectively with dimension reduction parameters of 30% and the value of learning rate between 0.1-0.5.

Reliability of the Language ENvironment Analysis system (LENA™) in European French.

PubMed

Canault, Mélanie; Le Normand, Marie-Thérèse; Foudil, Samy; Loundon, Natalie; Thai-Van, Hung

2016-09-01

In this study, we examined the accuracy of the Language ENvironment Analysis (LENA) system in European French. LENA is a digital recording device with software that facilitates the collection and analysis of audio recordings from young children, providing automated measures of the speech overheard and produced by the child. Eighteen native French-speaking children, who were divided into six age groups ranging from 3 to 48 months old, were recorded about 10-16 h per day, three days a week. A total of 324 samples (six 10-min chunks of recordings) were selected and then transcribed according to the CHAT format. Simple and mixed linear models between the LENA and human adult word count (AWC) and child vocalization count (CVC) estimates were performed, to determine to what extent the automatic and the human methods agreed. Both the AWC and CVC estimates were very reliable (r = .64 and .71, respectively) for the 324 samples. When controlling the random factors of participants and recordings, 1 h was sufficient to obtain a reliable sample. It was, however, found that two age groups (7-12 months and 13-18 months) had a significant effect on the AWC data and that the second day of recording had a significant effect on the CVC data. When noise-related factors were added to the model, only a significant effect of signal-to-noise ratio was found on the AWC data. All of these findings and their clinical implications are discussed, providing strong support for the reliability of LENA in French.

Julius Deetken--Pioneer Druggist: An Application of the Enrichment Cluster Model to a History Classroom

ERIC Educational Resources Information Center

Rapaport, David

2005-01-01

Edward Thorndike may be counted on to say in few words what amounts to a highly complex idea. He once said that, with learning as with any activity, ability must be supplemented by interest or desire. "If we wish to learn a certain thing, we must arouse adequate interest... we must transmute this general wish into an interest that will carry us to…

Learning Count Nouns and Adjectives: Understanding the Contributions of Lexical Form Class and Social-Pragmatic Cues

ERIC Educational Resources Information Center

Hall, D. Geoffrey; Williams, Sean G.; Belanger, Julie

2010-01-01

In two experiments, one hundred ninety-two 3-year-olds, 4-year-olds, and adults heard a novel word for a target object and then were asked to extend the label to one of two test objects, one matching in shape-based object category (the shape match) and the other matching in a property other than shape (the property match). We independently…

Influencing the Forgotten Half of the Population in Counterinsurgency Operations

DTIC Science & Technology

2008-03-01

and the constant threat of violence , it is often left to women to gather any remaining family and seek safety, sustenance, and shelter. When the family...Counterinsurgency Operations FORMAT: Strategy Research Project DATE: 20 March 2008 WORD COUNT: 6,392 PAGES: 30 KEY TERMS: Women , Gender Concerns...contact with indigenous populations, it is critical for the Army to understand and appreciate the capabilities and potential of indigenous women as

An Urdu Newspaper Reader. Key to an Urdu Newspaper Reader. (2 vol).

ERIC Educational Resources Information Center

Barker, Muhammad Abd-al-Rahman; And Others

This Reader is the second of a four-volume series in Urdu prepared by the Institute of Islamic Studies at McGill University. (See "A Course in Urdu," ED 013 435-7; "A Reader of Modern Urdu Poetry," ED 022 163; and "An Urdu Newspaper Word Count," AL 002 059.) This volume is intended for use at the second-year level of a comprehensive program of…

Characterizing the Hercules Thick Disk Cloud

DTIC Science & Technology

2009-01-01

merger. Key Words: Astronomy , Hercules Thick Disk Cloud, Galaxy, Star Count, Color, Photometric Parallax 2 Contents Chapter 1... Astronomy : Structure and Kinematics, 2nd ed., New York: W. H. Freeman and Company, 1981, pp 4. 5 Henbest, Guide, pp 10. 6 Mihalas, Galactic, pp 209...studies of astronomy later in his life, he focused on binary star systems and concluded that not all stars have the same absolute magnitude, thus

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

Joint Vision for the Korean Peninsula -- Can We Get There?

DTIC Science & Technology

2012-03-11

complex problem that requires a multifaceted approach. Trilateral cooperation with China coupled with all the elements of the Alliance’s elements of...national power can set the conditions for the Joint Vision Statement to become a reality in this century. 15. SUBJECT TERMS Northeast Asia, China ...We Get There? FORMAT: Strategy Research Project DATE: 11 March 2012 WORD COUNT: 5,917 PAGES: 30 KEY TERMS: Northeast Asia, China

Complementary and alternative medicine on wikipedia: opportunities for improvement.

PubMed

Koo, Malcolm

2014-01-01

Wikipedia, a free and collaborative Internet encyclopedia, has become one of the most popular sources of free information on the Internet. However, there have been concerns over the quality of online health information, particularly that on complementary and alternative medicine (CAM). This exploratory study aimed to evaluate several page attributes of articles on CAM in the English Wikipedia. A total of 97 articles were analyzed and compared with eight articles of broad categories of therapies in conventional medicine using the Mann-Whitney U test. Based on the Wikipedia editorial assessment grading, 4% of the articles attained "good article" status, 34% required considerable editing, and 56% needed substantial improvements in their content. The median daily access of the articles over the previous 90 days was 372 (range: 7-4,214). The median word count was 1840 with a readability of grade 12.7 (range: 9.4-17.7). Medians of word count and citation density of the CAM articles were significantly lower than those in the articles of conventional medicine therapies. In conclusion, despite its limitations, the general public will continue to access health information on Wikipedia. There are opportunities for health professionals to contribute their knowledge and to improve the accuracy and completeness of the CAM articles on Wikipedia.

A Comparison of Human Narrative Coding of Redemption and Automated Linguistic Analysis for Understanding Life Stories.

PubMed

Weston, Sara J; Cox, Keith S; Condon, David M; Jackson, Joshua J

2016-10-01

The majority of life narrative research is performed using trained human coders. In contrast, automated linguistic analysis is oft employed in the study of verbal behaviors. These two methodological approaches are directly compared to determine the utility of automated linguistic analysis for the study of life narratives. In a study of in-person interviews (N = 158) and a second study of life stories collected online (N = 242), redemption scores are compared to the output of the Linguistic Inquiry and Word Count (Pennebaker, Francis & Booth, 2001). Additionally, patterns of language are found using exploratory principal components analysis. In both studies, redemption scores are modestly correlated with some LIWC categories and unassociated with the components. Patterns of language do not replicate across samples, indicating that the structure of language does not extend to a broader population. Redemption scores and linguistic components are independent predictors of life satisfaction up to 3 years later. These studies converge on the finding that human-coded redemption and automated linguistic analysis are complementary and nonredundant methods of analyzing life narratives, and considerations for the study of life narratives are discussed. © 2015 Wiley Periodicals, Inc.

Improving Students' Word Analysis Skills by Implementing "Working with Words" from the Four Blocks of Literacy Program.

ERIC Educational Resources Information Center

Velasco, Kelly; Zizak, Amanda

This report describes a program for improving word analysis skills in order to increase sight reading, reading accuracy, and fluency. The targeted population consisted of second and third graders in a suburban area close to a large metropolitan city in a Midwestern state. The problems of low word analysis skills were documented through Qualitative…

The Missing Link: The Use of Link Words and Phrases as a Link to Manuscript Quality

ERIC Educational Resources Information Center

Onwuegbuzie, Anthony J.

2016-01-01

In this article, I provide a typology of transition words/phrases. This typology comprises 12 dimensions of link words/phrases that capture 277 link words/phrases. Using QDA Miner, WordStat, and SPSS--a computer-assisted mixed methods data analysis software, content analysis software, and statistical software, respectively--I analyzed 74…

A Review of Multivariate Distributions for Count Data Derived from the Poisson Distribution.

PubMed

Inouye, David; Yang, Eunho; Allen, Genevera; Ravikumar, Pradeep

2017-01-01

The Poisson distribution has been widely studied and used for modeling univariate count-valued data. Multivariate generalizations of the Poisson distribution that permit dependencies, however, have been far less popular. Yet, real-world high-dimensional count-valued data found in word counts, genomics, and crime statistics, for example, exhibit rich dependencies, and motivate the need for multivariate distributions that can appropriately model this data. We review multivariate distributions derived from the univariate Poisson, categorizing these models into three main classes: 1) where the marginal distributions are Poisson, 2) where the joint distribution is a mixture of independent multivariate Poisson distributions, and 3) where the node-conditional distributions are derived from the Poisson. We discuss the development of multiple instances of these classes and compare the models in terms of interpretability and theory. Then, we empirically compare multiple models from each class on three real-world datasets that have varying data characteristics from different domains, namely traffic accident data, biological next generation sequencing data, and text data. These empirical experiments develop intuition about the comparative advantages and disadvantages of each class of multivariate distribution that was derived from the Poisson. Finally, we suggest new research directions as explored in the subsequent discussion section.

Scaling Linguistic Characterization of Precipitation Variability

NASA Astrophysics Data System (ADS)

Primo, C.; Gutierrez, J. M.

2003-04-01

Rainfall variability is influenced by changes in the aggregation of daily rainfall. This problem is of great importance for hydrological, agricultural and ecological applications. Rainfall averages, or accumulations, are widely used as standard climatic parameters. However different aggregation schemes may lead to the same average or accumulated values. In this paper we present a fractal method to characterize different aggregation schemes. The method provides scaling exponents characterizing weekly or monthly rainfall patterns for a given station. To this aim, we establish an analogy with linguistic analysis, considering precipitation as a discrete variable (e.g., rain, no rain). Each weekly, or monthly, symbolic precipitation sequence of observed precipitation is then considered as a "word" (in this case, a binary word) which defines a specific weekly rainfall pattern. Thus, each site defines a "language" characterized by the words observed in that site during a period representative of the climatology. Then, the more variable the observed weekly precipitation sequences, the more complex the obtained language. To characterize these languages, we first applied the Zipf's method obtaining scaling histograms of rank ordered frequencies. However, to obtain significant exponents, the scaling must be maintained some orders of magnitude, requiring long sequences of daily precipitation which are not available at particular stations. Thus this analysis is not suitable for applications involving particular stations (such as regionalization). Then, we introduce an alternative fractal method applicable to data from local stations. The so-called Chaos-Game method uses Iterated Function Systems (IFS) for graphically representing rainfall languages, in a way that complex languages define complex graphical patterns. The box-counting dimension and the entropy of the resulting patterns are used as linguistic parameters to quantitatively characterize the complexity of the patterns. We illustrate the high climatological discrimination power of the linguistic parameters in the Iberian peninsula, when compared with other standard techniques (such as seasonal mean accumulated precipitation). As an example, standard and linguistic parameters are used as inputs for a clustering regionalization method, comparing the resulting clusters.

Math, monkeys, and the developing brain.

PubMed

Cantlon, Jessica F

2012-06-26

Thirty thousand years ago, humans kept track of numerical quantities by carving slashes on fragments of bone. It took approximately 25,000 y for the first iconic written numerals to emerge among human cultures (e.g., Sumerian cuneiform). Now, children acquire the meanings of verbal counting words, Arabic numerals, written number words, and the procedures of basic arithmetic operations, such as addition and subtraction, in just 6 y (between ages 2 and 8). What cognitive abilities enabled our ancestors to record tallies in the first place? Additionally, what cognitive abilities allow children to rapidly acquire the formal mathematics knowledge that took our ancestors many millennia to invent? Current research aims to discover the origins and organization of numerical information in humans using clues from child development, the organization of the human brain, and animal cognition.

Tracking discourse complexity preceding Alzheimer's disease diagnosis: a case study comparing the press conferences of Presidents Ronald Reagan and George Herbert Walker Bush.

PubMed

Berisha, Visar; Wang, Shuai; LaCross, Amy; Liss, Julie

2015-01-01

Changes in some lexical features of language have been associated with the onset and progression of Alzheimer's disease. Here we describe a method to extract key features from discourse transcripts, which we evaluated on non-scripted news conferences from President Ronald Reagan, who was diagnosed with Alzheimer's disease in 1994, and President George Herbert Walker Bush, who has no known diagnosis of Alzheimer's disease. Key word counts previously associated with cognitive decline in Alzheimer's disease were extracted and regression analyses were conducted. President Reagan showed a significant reduction in the number of unique words over time and a significant increase in conversational fillers and non-specific nouns over time. There was no significant trend in these features for President Bush.

The impact of developmental dyslexia and dysgraphia on movement production during word writing.

PubMed

Kandel, Sonia; Lassus-Sangosse, Delphine; Grosjacques, Géraldine; Perret, Cyril

This study investigated how deficits in orthographic processing affect movement production during word writing. Children with dyslexia and dysgraphia wrote words and pseudo-words on a digitizer. The words were orthographically regular and irregular of varying frequency. The group analysis revealed that writing irregular words and pseudo-words increased movement duration and dysfluency. This indicates that the spelling processes were active while the children were writing the words. The impact of these spelling processes was stronger for the children with dyslexia and dysgraphia. The analysis of individual performance revealed that most dyslexic/dysgraphic children presented similar writing patterns. However, selective lexical processing deficits affected irregular word writing but not pseudo-word writing. Selective poor sublexical processing affected pseudo-word writing more than irregular word writing. This study suggests that the interaction between orthographic and motor processing constitutes an important cognitive load that may disrupt the graphic outcome of the children with dyslexia/dysgraphia.

The interpretation of dream meaning: Resolving ambiguity using Latent Semantic Analysis in a small corpus of text.

PubMed

Altszyler, Edgar; Ribeiro, Sidarta; Sigman, Mariano; Fernández Slezak, Diego

2017-11-01

Computer-based dreams content analysis relies on word frequencies within predefined categories in order to identify different elements in text. As a complementary approach, we explored the capabilities and limitations of word-embedding techniques to identify word usage patterns among dream reports. These tools allow us to quantify words associations in text and to identify the meaning of target words. Word-embeddings have been extensively studied in large datasets, but only a few studies analyze semantic representations in small corpora. To fill this gap, we compared Skip-gram and Latent Semantic Analysis (LSA) capabilities to extract semantic associations from dream reports. LSA showed better performance than Skip-gram in small size corpora in two tests. Furthermore, LSA captured relevant word associations in dream collection, even in cases with low-frequency words or small numbers of dreams. Word associations in dreams reports can thus be quantified by LSA, which opens new avenues for dream interpretation and decoding. Copyright © 2017 Elsevier Inc. All rights reserved.

The Origin of Counting: A Study of the Early Meaning of "One", "Two" and "Three" among Basque- and Spanish-Speaking Children

ERIC Educational Resources Information Center

Villarroel, Jose Domingo; Minon, Margarita; Nuno, Teresa

2011-01-01

This study examines the beginning of the conceptual understanding of the first number-words and what role language can play in developing the notion of numbers. To that end, 2 1/2- and 3 1/2-year-old Basque and Spanish monolingual children's (N = 131) basic numeracy skills are analysed by means of two different experimental procedures: "Give-N"…

Do Objects of Different Weight Fall at the Same Time? Updating Naive Beliefs about Free-Falling Objects from Fictional and Informational Books in Young Children

ERIC Educational Resources Information Center

Venkadasalam, Vaunam P.; Ganea, Patricia A.

2018-01-01

This study examined whether children 4- and 5-years-old (N = 156) can revise a physical science misconception from different types of picture books. A realistic fiction book and informational book with identical images matched in word count and reading difficulty level were compared to a control book about plants. In the pretest and posttest,…

A Nuclear Dilemma--Korean War Deja Vu

DTIC Science & Technology

2006-03-08

USAWC STRATEGY RESEARCH PROJECT A NUCLEAR DILEMMA—KOREAN WAR DEJA VU by Lieutenant Colonel Trent A. Pickering United States Air Force Colonel William...Lieutenant Colonel Trent A. Pickering TITLE: A Nuclear Dilemma—Korean War Deja Vu FORMAT: Strategy Research Project DATE: 8 March 2006 WORD COUNT: 19,270...1. REPORT DATE 15 MAR 2006 2. REPORT TYPE 3. DATES COVERED 00-00-2005 to 00-00-2006 4. TITLE AND SUBTITLE Nuclear Dilemma--Korean War Deja

The International Criminal Court as a Component of U.S. National Security Strategy

DTIC Science & Technology

2012-04-21

Security Strategy 5b. GRANT NUMBER 5c. PROGRAM ELEMENT NUMBER 6. AUTHOR(S) 5d. PROJECT NUMBER LTC Jonathan R. Hirsch, U.S. Army...98) Prescribed by ANSI Std. Z39.18 USAWC CIVILIAN RESEARCH PROJECT THE INTERNATIONAL CRIMINAL COURT AS A COMPONENT OF U.S...Security Strategy FORMAT: Civilian Research Project DATE: 21 April 2012 WORD COUNT: 11,629 PAGES: 46 KEY TERMS: Lawfare, Contractor

Malaysia’s Great Power Balance and the South China Sea Disputes

DTIC Science & Technology

2013-03-01

Word Count: 7074 14. ABSTRACT Malaysia is one of several Southeast Asian countries that claim a portion of the South China Sea that is also claimed...by China. However, Malaysia has chosen to downplay this dispute in the interest of furthering positive relations with China, in particular...economically. In recent years Malaysia has also improved its political and military relations with the U.S.; the two countries have long enjoyed strong

Detection Technology in the 21st Century: The Case of Nuclear Weapons of Mass Destruction

DTIC Science & Technology

2008-03-26

Weapons of Mass Destruction FORMAT : Strategy Research Project DATE: 26 March 2008 WORD COUNT: 6,764 PAGES: 25 KEY TERMS: National Security, Deterrence...stocks remaining in Ukraine, Belarus, Uzbekistan, and other former Soviet and Eastern European states, and the unknown amounts of highly enriched uranium ...detect emissions from the decay of radioactive nuclides, which can occur naturally, such as uranium and thorium, or are manmade, such as plutonium

Emotional expressivity in older and younger adults' descriptions of personal memories.

PubMed

Schryer, Emily; Ross, Michael; St Jacques, Peggy; Levine, Brian; Fernandes, Myra

2012-01-01

BACKGROUND/STUDY CONTEXT: According to the socioemotional selectivity theory (SST; Mather & Carstensen, 2003, Psychological Sciences, 14, 409-415), aging is associated with greater motivation to regulate emotions. The authors propose that the language people use to describe personal memories provides an index of age differences in emotional self-regulation. In the present article, the authors reanalyzed three previously published studies in which older (aged 60-88) and younger (aged 17-33) participants described emotional and neutral memories from their recent and distant pasts. The authors analyzed the language of the memories using Pennebaker, Booth, and Francis's (2007) Linguistic Inquiry Word Count program (Austin, TX: LIWC Inc.), which calculates the percentage of positive and negative emotion words. In Studies 1 and 2, older adults used more positive emotion words than did younger adults to describe their autobiographical memories from the recent past, particularly when these were of a neutral valence. In Study 3, older adults used more positive emotion words when describing more recent memories (from the past 5 years) but not when describing distant childhood or adolescent memories. The authors suggest that these age differences in emotional expressivity support SST, and represent an as-yet unreported age difference that may stem from differences in motivation to regulate emotion.

Resourcefulness Training for Women Dementia Caregivers: Acceptability and Feasibility of Two Methods.

PubMed

Zauszniewski, Jaclene A; Lekhak, Nirmala; Napoleon, Betty; Morris, Diana L

2016-01-01

Almost 10 million women in the United States are caregivers for elders with dementia and many experience extreme stress that compromises their health. Acceptable and feasible interventions to teach them resourcefulness skills for managing stress may improve their health and facilitate continued caregiving. This study examined two commonly used methods for practicing skills taught during resourcefulness training (RT) to women caregivers of elders with dementia (n=63): journaling and digital voice recording. It also explored whether providing caregivers a choice between the two methods made it more acceptable or feasible. Qualitative and quantitative data were collected before, during, and after RT. Caregivers who recorded used more words (M=5446) but recorded fewer days (M=17) than those who journaled (M=2792 words and M=27 days). Similar concerns in relation to time management and practice method were expressed by women caregivers irrespective of practice method (journal versus recorder) or random versus choice condition. While journaling was more frequent than recording, more words were expressed during recordings. Perceived stress and depressive symptoms were unrelated to the number of practice days or word counts, suggesting RT acceptability and feasibility even for highly stressed or depressed caregivers. Because intervention feasibility is important for RT effectiveness testing, alternatives to the journaling and recording methods for practicing RT skills should be considered.

Do different types of school mathematics development depend on different constellations of numerical versus general cognitive abilities?

PubMed

Fuchs, Lynn S; Geary, David C; Compton, Donald L; Fuchs, Douglas; Hamlett, Carol L; Seethaler, Pamela M; Bryant, Joan D; Schatschneider, Christopher

2010-11-01

The purpose of this study was to examine the interplay between basic numerical cognition and domain-general abilities (such as working memory) in explaining school mathematics learning. First graders (N = 280; mean age = 5.77 years) were assessed on 2 types of basic numerical cognition, 8 domain-general abilities, procedural calculations, and word problems in fall and then reassessed on procedural calculations and word problems in spring. Development was indexed by latent change scores, and the interplay between numerical and domain-general abilities was analyzed by multiple regression. Results suggest that the development of different types of formal school mathematics depends on different constellations of numerical versus general cognitive abilities. When controlling for 8 domain-general abilities, both aspects of basic numerical cognition were uniquely predictive of procedural calculations and word problems development. Yet, for procedural calculations development, the additional amount of variance explained by the set of domain-general abilities was not significant, and only counting span was uniquely predictive. By contrast, for word problems development, the set of domain-general abilities did provide additional explanatory value, accounting for about the same amount of variance as the basic numerical cognition variables. Language, attentive behavior, nonverbal problem solving, and listening span were uniquely predictive.

Tracking real-time neural activation of conceptual knowledge using single-trial event-related potentials.

PubMed

Amsel, Ben D

2011-04-01

Empirically derived semantic feature norms categorized into different types of knowledge (e.g., visual, functional, auditory) can be summed to create number-of-feature counts per knowledge type. Initial evidence suggests several such knowledge types may be recruited during language comprehension. The present study provides a more detailed understanding of the timecourse and intensity of influence of several such knowledge types on real-time neural activity. A linear mixed-effects model was applied to single trial event-related potentials for 207 visually presented concrete words measured on total number of features (semantic richness), imageability, and number of visual motion, color, visual form, smell, taste, sound, and function features. Significant influences of multiple feature types occurred before 200ms, suggesting parallel neural computation of word form and conceptual knowledge during language comprehension. Function and visual motion features most prominently influenced neural activity, underscoring the importance of action-related knowledge in computing word meaning. The dynamic time courses and topographies of these effects are most consistent with a flexible conceptual system wherein temporally dynamic recruitment of representations in modal and supramodal cortex are a crucial element of the constellation of processes constituting word meaning computation in the brain. Copyright © 2011 Elsevier Ltd. All rights reserved.

[A co-word analysis of current research on neonatal jaundice].

PubMed

Bao, Shan; Yang, Xiao-Yan; Tang, Jun; Wu, Jin-Lin; Mu, De-Zhi

2014-08-01

To investigate the research on neonatal jaundice in recent years by co-word analysis and to summarize the hot spots and trend of research in this field in China. The CNKI was searched with "neonate" and "jaundice" as the key words to identify the papers published from January 2009 to July 2013 that were in accordance with strict inclusion and exclusion criteria. To reveal the relationship between different high-frequency key words, Microsoft Office Excel 2013 was used for statistical analysis of key words, and Ucinet 6.0 and Netdraw were used for co-occurrence analysis. A total of 2 054 papers were included, and 44 high-frequency key words were extracted. The current hotspots of research on neonatal jaundice in China were displayed, and the relationship between different high-frequency key words was presented. There has been in-depth research on clinical manifestations and diagnosis of neonatal jaundice in China, but further research is needed to investigate the etiology, mechanism, and treatment of neonatal jaundice.

Personality in 100,000 Words: A large-scale analysis of personality and word use among bloggers

PubMed Central

Yarkoni, Tal

2010-01-01

Previous studies have found systematic associations between personality and individual differences in word use. Such studies have typically focused on broad associations between major personality domains and aggregate word categories, potentially masking more specific associations. Here I report the results of a large-scale analysis of personality and word use in a large sample of blogs (N=694). The size of the dataset enabled pervasive correlations with personality to be identified for a broad range of lexical variables, including both aggregate word categories and individual English words. The results replicated category-level findings from previous offline studies, identified numerous novel associations at both a categorical and single-word level, and underscored the value of complementary approaches to the study of personality and word use. PMID:20563301

Lexical analysis in schizophrenia: how emotion and social word use informs our understanding of clinical presentation.

PubMed

Minor, Kyle S; Bonfils, Kelsey A; Luther, Lauren; Firmin, Ruth L; Kukla, Marina; MacLain, Victoria R; Buck, Benjamin; Lysaker, Paul H; Salyers, Michelle P

2015-05-01

The words people use convey important information about internal states, feelings, and views of the world around them. Lexical analysis is a fast, reliable method of assessing word use that has shown promise for linking speech content, particularly in emotion and social categories, with psychopathological symptoms. However, few studies have utilized lexical analysis instruments to assess speech in schizophrenia. In this exploratory study, we investigated whether positive emotion, negative emotion, and social word use was associated with schizophrenia symptoms, metacognition, and general functioning in a schizophrenia cohort. Forty-six participants generated speech during a semi-structured interview, and word use categories were assessed using a validated lexical analysis measure. Trained research staff completed symptom, metacognition, and functioning ratings using semi-structured interviews. Word use categories significantly predicted all variables of interest, accounting for 28% of the variance in symptoms and 16% of the variance in metacognition and general functioning. Anger words, a subcategory of negative emotion, significantly predicted greater symptoms and lower functioning. Social words significantly predicted greater metacognition. These findings indicate that lexical analysis instruments have the potential to play a vital role in psychosocial assessments of schizophrenia. Future research should replicate these findings and examine the relationship between word use and additional clinical variables across the schizophrenia-spectrum. Copyright © 2015 Elsevier Ltd. All rights reserved.

Therapeutic writing as an intervention for symptoms of bulimia nervosa: effects and mechanism of change.

PubMed

Johnston, Olwyn; Startup, Helen; Lavender, Anna; Godfrey, Emma; Schmidt, Ulrike

2010-07-01

This study explored the effects on bulimic symptomatology of a writing task intended to reduce emotional avoidance. Eighty individuals reporting symptoms of bulimia completed, by e-mail, a therapeutic or control writing task. Participants completed questionnaires on bulimic symptoms, mood, and potential moderating and mediating factors, and were followed up after 4 and 8 weeks. Writing content was explored using a word count package and qualitative framework analysis. Bulimic symptoms decreased in both groups, although in both groups the number of participants who improved was approximately equal to the number who did not improve. Symptom decreases were associated with increases in perceived mood regulation abilities, and decreases in negative beliefs about emotions. Participants preferred internet delivery to face to face discussion. For individuals experiencing symptoms of bulimia, the effects of therapeutic writing did not differ significantly from effects of a control writing task. 2009 by Wiley Periodicals, Inc.

Word Criticality Analysis. MOS: 91B. Skill Levels 1 & 2.

DTIC Science & Technology

1981-09-01

I 7 AD-A116 535 ARMY TRAINING DEVELOPMENTS INST FORT MONROE VA F/G 5/9 I WORD CRITICALITY ANALYSIS. MOSS 9111. SKILL LEVELS I a 2.(U) I SEP 81 A A...FORT MONROE, VIRGINIA 23651 ELC -~. JUL a Word Criticality Analysis NOS: 913 Skill Levels 1 & 2 PREPARED BY: OPERATIONS DIV, DPFO Cory if CSPIUS ATO...flI. upO"? NUMbER- 0VACCESSION INO a. RCISPIENT’S CATALOG NUMBER 14. TITLE tand 8.begel) S. TYPE OP REPORT & PERIOD COVERED Word Criticality Analysis Vl

Grammar and Frequency Effects in the Acquisition of Prosodic Words in European Portuguese

ERIC Educational Resources Information Center

Vigario, Marina; Freitas, Maria Joao; Frota, Sonia

2006-01-01

This paper investigates the acquisition of prosodic words in European Portuguese (EP) through analysis of grammatical and statistical properties of the target language and child speech. The analysis of grammatical properties shows that there are solid cues to the prosodic word (PW) in EP, and the presence of early word-based phonology in child…

Intimate insight: MDMA changes how people talk about significant others

PubMed Central

Baggott, Matthew J.; Kirkpatrick, Matthew G.; Bedi, Gillinder; de Wit, Harriet

2015-01-01

Rationale ±3,4-methylenedioxymethamphetamine (MDMA) is widely believed to increase sociability. The drug alters speech production and fluency, and may influence speech content. Here, we investigated the effect of MDMA on speech content, which may reveal how this drug affects social interactions. Method 35 healthy volunteers with prior MDMA experience completed this two-session, within-subjects, double-blind study during which they received 1.5 mg/kg oral MDMA and placebo. Participants completed a 5-min standardized talking task during which they discussed a close personal relationship (e.g., a friend or family member) with a research assistant. The conversations were analyzed for selected content categories (e.g., words pertaining to affect, social interaction, and cognition), using both a standard dictionary method (Pennebaker’s Linguistic Inquiry and Word Count: LIWC) and a machine learning method using random forest classifiers. Results Both analytic methods revealed that MDMA altered speech content relative to placebo. Using LIWC scores, the drug increased use of social and sexual words, consistent with reports that MDMA increases willingness to disclose. Using the machine learning algorithm, we found that MDMA increased use of social words and words relating to both positive and negative emotions. Conclusions These findings are consistent with reports that MDMA acutely alters speech content, specifically increasing emotional and social content during a brief semistructured dyadic interaction. Studying effects of psychoactive drugs on speech content may offer new insights into drug effects on mental states, and on emotional and psychosocial interaction. PMID:25922420

Intimate insight: MDMA changes how people talk about significant others.

PubMed

Baggott, Matthew J; Kirkpatrick, Matthew G; Bedi, Gillinder; de Wit, Harriet

2015-06-01

±3,4-methylenedioxymethamphetamine (MDMA) is widely believed to increase sociability. The drug alters speech production and fluency, and may influence speech content. Here, we investigated the effect of MDMA on speech content, which may reveal how this drug affects social interactions. Thirty-five healthy volunteers with prior MDMA experience completed this two-session, within-subjects, double-blind study during which they received 1.5 mg/kg oral MDMA and placebo. Participants completed a five-minute standardized talking task during which they discussed a close personal relationship (e.g. a friend or family member) with a research assistant. The conversations were analyzed for selected content categories (e.g. words pertaining to affect, social interaction, and cognition), using both a standard dictionary method (Pennebaker's Linguistic Inquiry and Word Count: LIWC) and a machine learning method using random forest classifiers. Both analytic methods revealed that MDMA altered speech content relative to placebo. Using LIWC scores, the drug increased use of social and sexual words, consistent with reports that MDMA increases willingness to disclose. Using the machine learning algorithm, we found that MDMA increased use of social words and words relating to both positive and negative emotions. These findings are consistent with reports that MDMA acutely alters speech content, specifically increasing emotional and social content during a brief semistructured dyadic interaction. Studying effects of psychoactive drugs on speech content may offer new insights into drug effects on mental states, and on emotional and psychosocial interaction. © The Author(s) 2015.

Slower Perception Followed by Faster Lexical Decision in Longer Words: A Diffusion Model Analysis

PubMed Central

Oganian, Yulia; Froehlich, Eva; Schlickeiser, Ulrike; Hofmann, Markus J.; Heekeren, Hauke R.; Jacobs, Arthur M.

2016-01-01

Effects of stimulus length on reaction times (RTs) in the lexical decision task are the topic of extensive research. While slower RTs are consistently found for longer pseudo-words, a finding coined the word length effect (WLE), some studies found no effects for words, and yet others reported faster RTs for longer words. Moreover, the WLE depends on the orthographic transparency of a language, with larger effects in more transparent orthographies. Here we investigate processes underlying the WLE in lexical decision in German-English bilinguals using a diffusion model (DM) analysis, which we compared to a linear regression approach. In the DM analysis, RT-accuracy distributions are characterized using parameters that reflect latent sub-processes, in particular evidence accumulation and decision-independent perceptual encoding, instead of typical parameters such as mean RT and accuracy. The regression approach showed a decrease in RTs with length for pseudo-words, but no length effect for words. However, DM analysis revealed that the null effect for words resulted from opposing effects of length on perceptual encoding and rate of evidence accumulation. Perceptual encoding times increased with length for words and pseudo-words, whereas the rate of evidence accumulation increased with length for real words but decreased for pseudo-words. A comparison between DM parameters in German and English suggested that orthographic transparency affects perceptual encoding, whereas effects of length on evidence accumulation are likely to reflect contextual information and the increase in available perceptual evidence with length. These opposing effects may account for the inconsistent findings on WLEs. PMID:26779075

Slower Perception Followed by Faster Lexical Decision in Longer Words: A Diffusion Model Analysis.

PubMed

Oganian, Yulia; Froehlich, Eva; Schlickeiser, Ulrike; Hofmann, Markus J; Heekeren, Hauke R; Jacobs, Arthur M

2015-01-01

Effects of stimulus length on reaction times (RTs) in the lexical decision task are the topic of extensive research. While slower RTs are consistently found for longer pseudo-words, a finding coined the word length effect (WLE), some studies found no effects for words, and yet others reported faster RTs for longer words. Moreover, the WLE depends on the orthographic transparency of a language, with larger effects in more transparent orthographies. Here we investigate processes underlying the WLE in lexical decision in German-English bilinguals using a diffusion model (DM) analysis, which we compared to a linear regression approach. In the DM analysis, RT-accuracy distributions are characterized using parameters that reflect latent sub-processes, in particular evidence accumulation and decision-independent perceptual encoding, instead of typical parameters such as mean RT and accuracy. The regression approach showed a decrease in RTs with length for pseudo-words, but no length effect for words. However, DM analysis revealed that the null effect for words resulted from opposing effects of length on perceptual encoding and rate of evidence accumulation. Perceptual encoding times increased with length for words and pseudo-words, whereas the rate of evidence accumulation increased with length for real words but decreased for pseudo-words. A comparison between DM parameters in German and English suggested that orthographic transparency affects perceptual encoding, whereas effects of length on evidence accumulation are likely to reflect contextual information and the increase in available perceptual evidence with length. These opposing effects may account for the inconsistent findings on WLEs.

Sketching Muslims: A Corpus Driven Analysis of Representations around the Word "Muslim" in the British Press 1998-2009

ERIC Educational Resources Information Center

Baker, Paul; Gabrielatos, Costas; McEnery, Tony

2013-01-01

This article uses methods from corpus linguistics and critical discourse analysis to examine patterns of representation around the word "Muslim" in a 143 million word corpus of British newspaper articles published between 1998 and 2009. Using the analysis tool Sketch Engine, an analysis of noun collocates of "Muslim" found that the following…

Capacity for self-monitoring reading comprehension in Elementary School.

PubMed

Bueno, Gabriela Juliane; Carvalho, Carolina Alves Ferreira; Ávila, Clara Regina Brandão de

2017-06-08

To investigate the capacity for self-monitoring reading comprehension in Brazilian Elementary School students. Fifty-three Elementary students in the 5th and 9th grades from two Public Schools in the city of São Paulo were assessed. They were selected based on their oral reading rate and grouped according to their performance in reading comprehension in the following categories: Group with best comprehension: students with adequate rate and accuracy, without difficulties in reading comprehension; Group with worst comprehension: students with adequate rate and accuracy but with difficulties in reading comprehension. Two narrative texts followed by eight questions to assess reading comprehension were presented. Two sentences and two words were replaced by ungrammatical elements and pseudo-words. Under the condition of spontaneous monitoring, students read the text aloud and answered the questions. The analysis considered the calculation of hesitation, self-correction, repetitions and mistakes. Under the condition of directed monitoring, students were instructed to read the text, either aloud or silently, after being told that certain parts of the text could not make sense, and they were oriented to underline such parts. The analysis was carried out by counting of underlined items. The comparisons were made with the Mann-Whitney test. A difference was observed between the groups only at the sentence level among the 9th grade schoolchildren under the spontaneous monitoring and among the 5th grade schoolchildren under directed monitoring. Students with worst comprehension had a poorer performance to monitor the presence of ungrammatical sentences than their peers with best comprehension.

OpenNotes in oncology: oncologists' perceptions and a baseline of the content and style of their clinician notes.

PubMed

Alpert, Jordan M; Morris, Bonny B; Thomson, Maria D; Matin, Khalid; Geyer, Charles E; Brown, Richard F

2018-03-27

Patients' ability to access their provider's clinical notes (OpenNotes) has been well received and has led to greater transparency in health systems. However, the majority of this research has occurred in primary care, and little is known about how patients' access to notes is used in oncology. This study aims to understand oncologists' perceptions of OpenNotes, while also establishing a baseline of the linguistic characteristics and patterns used in notes.Data from 13 in-depth, semistructured interviews with oncologists were thematically analyzed. In addition, the Linguistic Inquiry and Word Count (LIWC) program evaluated over 200 clinician notes, measuring variables encompassing emotions, thinking styles, social concerns, and parts of speech. Analysis from LIWC revealed that notes contained negative emotional tone, low authenticity, high clout, and high analytical writing. Oncologists' use of stigmatized and sensitive words, such as "obese" and "distress," was mainly absent. Themes from interviews revealed that oncologists were uncertain about patients' access to their notes and may edit their notes to avoid problematic terminology. Despite their reluctance to embrace OpenNotes, they envisioned opportunities for an improved patient-provider relationship due to patients initiating interactions from viewing notes.Oncologists believe notes are not intended for patients and altering their content may compromise the integrity of the note. This study established a baseline for further study to compare notes pre-implementation to post-implementation. Further analysis will clarify whether oncologists are altering the style and content of their notes and determine the presence of patient-centered language.

A Dual-Route Model that Learns to Pronounce English Words

NASA Technical Reports Server (NTRS)

Remington, Roger W.; Miller, Craig S.; Null, Cynthia H. (Technical Monitor)

1995-01-01

This paper describes a model that learns to pronounce English words. Learning occurs in two modules: 1) a rule-based module that constructs pronunciations by phonetic analysis of the letter string, and 2) a whole-word module that learns to associate subsets of letters to the pronunciation, without phonetic analysis. In a simulation on a corpus of over 300 words the model produced pronunciation latencies consistent with the effects of word frequency and orthographic regularity observed in human data. Implications of the model for theories of visual word processing and reading instruction are discussed.

Significance of Hemispheric Security for Mexico

DTIC Science & Technology

2003-04-07

WORD COUNT = 7,976 20 21 ENDNOTES 1 Eugenio Anguiano, “America Latina, en marcha hacia una nueva crisis,” El Universal, 20 Noviembre 2002 [newspaper...Preservacion de la Paz en el Ambito Hemisferico y el Proceso en Torno al Nuevo Concepto de la Seguridad. Organizacion de los Estados Americanos, 56o...Contra el Terrorismo los Avances Democráticos?” Washingtonpost.com, 27 Nov 2002; available from http://www.washingtonpost.com/ac2/wp- dyn/A46924-2002Nov27

The Rise of China: Redefining War in the 21st Century

DTIC Science & Technology

2012-03-22

Hegemony, Africa, Cold War, Cyber Attack, Deficit 16. SECURITY CLASSIFICATION OF: 17. LIMITATION OF ABSTRACT 18. NUMBER OF PAGES 19a. NAME OF...FORMAT: Strategy Research Project DATE: 22 March 2012 WORD COUNT: 5,825 PAGES: 30 KEY TERMS: Debt, Security, Hegemony, Africa, Cold War, Cyber ...significantly increasing economic aid. But it’s hard to buy affection; such ‘ friendship ’ does not stand the test of difficult times.”42 The United

Elementary Mathematics Student Assessment: Measuring the Performance of Grade 1 and 2 Students in Counting, Word Problems, and Computation in Fall 2014. Research Report No. 2016-04

ERIC Educational Resources Information Center

Schoen, Robert C.; LaVenia, Mark; Bauduin, Charity; Farina, Kristy

2016-01-01

The subject of this report is a pair of written, group-administered tests designed to measure the performance of grade 1 and grade 2 students at the beginning of the school year in the domain of number and operations. These tests build on previous versions field-tested in fall 2013 (Schoen, LaVenia, Bauduin, & Farina, 2016). Because the tests…

Multi-Agent Technology for Air Space Deconfliction

DTIC Science & Technology

2008-01-01

previously accepted limit of the runway count is also omitted although in the case study used in the reported research the JFK airport is considered...La Guardia, Republic. Fig. 2.3 depicts the approach zone of JFK airport . In general words, the airport airspace topology is divided into two zones: (i...be omitted when necessary or if the customer believes they are too hard. Fig.2.3. Approach zone of JFK airport 11 4. Development of a realistic

An Examination of Rostral Anterior Cingulate Cortex Function and Neurochemistry in Obsessive–Compulsive Disorder

PubMed Central

Brennan, Brian P; Tkachenko, Olga; Schwab, Zachary J; Juelich, Richard J; Ryan, Erin M; Athey, Alison J; Pope, Harrison G; Jenike, Michael A; Baker, Justin T; Killgore, William DS; Hudson, James I; Jensen, J Eric; Rauch, Scott L

2015-01-01

The anterior cingulate cortex is implicated in the neurobiology of obsessive–compulsive disorder (OCD). However, few studies have examined functional and neurochemical abnormalities specifically in the rostral subdivision of the ACC (rACC) in OCD patients. We used functional magnetic resonance imaging (fMRI) during an emotional counting Stroop task and single-voxel J-resolved proton magnetic resonance spectroscopy (1H-MRS) in the rACC to examine the function and neurochemistry of the rACC in individuals with OCD and comparison individuals without OCD. Between-group differences in rACC activation and glutamine/glutamate ratio (Gln/Glu), Glu, and Gln levels, as well as associations between rACC activation, Gln/Glu, Glu, Gln, behavioral, and clinical measures were examined using linear regression. In a sample of 30 participants with OCD and 29 age- and sex-matched participants without OCD, participants with OCD displayed significantly reduced rACC deactivation compared with those without OCD in response to OCD-specific words versus neutral words on the emotional counting Stroop task. However, Gln/Glu, Glu, and Gln in the rACC did not differ between groups nor was there an association between reduced rACC deactivation and Gln/Glu, Glu, or Gln in the OCD group. Taken together, these findings strengthen the evidence for rACC dysfunction in OCD, but weigh against an underlying association with abnormal rACC glutamatergic neurotransmission. PMID:25662837

On avoided words, absent words, and their application to biological sequence analysis.

PubMed

Almirantis, Yannis; Charalampopoulos, Panagiotis; Gao, Jia; Iliopoulos, Costas S; Mohamed, Manal; Pissis, Solon P; Polychronopoulos, Dimitris

2017-01-01

The deviation of the observed frequency of a word w from its expected frequency in a given sequence x is used to determine whether or not the word is avoided . This concept is particularly useful in DNA linguistic analysis. The value of the deviation of w , denoted by [Formula: see text], effectively characterises the extent of a word by its edge contrast in the context in which it occurs. A word w of length [Formula: see text] is a [Formula: see text]-avoided word in x if [Formula: see text], for a given threshold [Formula: see text]. Notice that such a word may be completely absent from x . Hence, computing all such words naïvely can be a very time-consuming procedure, in particular for large k . In this article, we propose an [Formula: see text]-time and [Formula: see text]-space algorithm to compute all [Formula: see text]-avoided words of length k in a given sequence of length n over a fixed-sized alphabet. We also present a time-optimal [Formula: see text]-time algorithm to compute all [Formula: see text]-avoided words (of any length) in a sequence of length n over an integer alphabet of size [Formula: see text]. In addition, we provide a tight asymptotic upper bound for the number of [Formula: see text]-avoided words over an integer alphabet and the expected length of the longest one. We make available an implementation of our algorithm. Experimental results, using both real and synthetic data, show the efficiency and applicability of our implementation in biological sequence analysis. The systematic search for avoided words is particularly useful for biological sequence analysis. We present a linear-time and linear-space algorithm for the computation of avoided words of length k in a given sequence x . We suggest a modification to this algorithm so that it computes all avoided words of x , irrespective of their length, within the same time complexity. We also present combinatorial results with regards to avoided words and absent words.

A Review of Multivariate Distributions for Count Data Derived from the Poisson Distribution

PubMed Central

Inouye, David; Yang, Eunho; Allen, Genevera; Ravikumar, Pradeep

2017-01-01

The Poisson distribution has been widely studied and used for modeling univariate count-valued data. Multivariate generalizations of the Poisson distribution that permit dependencies, however, have been far less popular. Yet, real-world high-dimensional count-valued data found in word counts, genomics, and crime statistics, for example, exhibit rich dependencies, and motivate the need for multivariate distributions that can appropriately model this data. We review multivariate distributions derived from the univariate Poisson, categorizing these models into three main classes: 1) where the marginal distributions are Poisson, 2) where the joint distribution is a mixture of independent multivariate Poisson distributions, and 3) where the node-conditional distributions are derived from the Poisson. We discuss the development of multiple instances of these classes and compare the models in terms of interpretability and theory. Then, we empirically compare multiple models from each class on three real-world datasets that have varying data characteristics from different domains, namely traffic accident data, biological next generation sequencing data, and text data. These empirical experiments develop intuition about the comparative advantages and disadvantages of each class of multivariate distribution that was derived from the Poisson. Finally, we suggest new research directions as explored in the subsequent discussion section. PMID:28983398

Clusters of Word Properties as Predictors of Elementary School Children's Performance on Two Word Tasks

ERIC Educational Resources Information Center

Tellings, Agnes; Coppens, Karien; Gelissen, John; Schreuder, Rob

2013-01-01

Often, the classification of words does not go beyond "difficult" (i.e., infrequent, late-learned, nonimageable, etc.) or "easy" (i.e., frequent, early-learned, imageable, etc.) words. In the present study, we used a latent cluster analysis to divide 703 Dutch words with scores for eight word properties into seven clusters of words. Each cluster…

Clinical features and pathological joint changes in dogs with erosive immune-mediated polyarthritis: 13 cases (2004–2012)

PubMed Central

Shaughnessy, Magen L.; Sample, Susannah J.; Abicht, Carter; Heaton, Caitlin; Muir, Peter

2017-01-01

OBJECTIVE To evaluate the clinical features and pathological joint changes in dogs with erosive immune-mediated polyarthritis (IMPA). DESIGN Retrospective case series. ANIMALS 13 dogs with erosive IMPA and 66 dogs with nonerosive IMPA. PROCEDURES The medical record database of a veterinary teaching hospital was reviewed to identify dogs with IMPA that were examined between October 2004 and December 2012. For each IMPA-affected dog, information extracted from the medical record included signalment, diagnostic test results, radiographic findings, and treatments administered. Dogs were classified as having erosive IMPA if review of radiographs revealed the presence of bone lysis in multiple joints, and descriptive data were generated for those dogs. All available direct smears of synovial fluid samples underwent cytologic evaluation. The synovial fluid total nucleated cell count and WBC differential were estimated and compared between dogs with erosive IMPA and dogs with nonerosive IMPA. RESULTS 13 of 79 (16%) dogs had erosive IMPA. Dogs with erosive IMPA had a mean ± SD age of 7.1 ± 2.4 years and bodyweight of 8.3 ± 3.4 kg (18.3 ± 7.5 lb). All 13 dogs had erosive lesions in their carpal joints. The estimated median synovial fluid lymphocyte count for dogs with erosive IMPA was significantly greater than that for dogs with nonerosive IMPA. All dogs received immunosuppressive therapy with leflunomide (n = 9), prednisone (3), or prednisone-azathioprine (1). CONCLUSIONS AND CLINICAL RELEVANCE Results indicated erosive IMPA most commonly affected the carpal joints of middle-aged small-breed dogs. Further genetic analyses and analysis of lymphocyte-subsets is warranted for dogs with erosive IMPA. Word count = 256 PMID:27823373

Cluster analysis of word frequency dynamics

NASA Astrophysics Data System (ADS)

Maslennikova, Yu S.; Bochkarev, V. V.; Belashova, I. A.

2015-01-01

This paper describes the analysis and modelling of word usage frequency time series. During one of previous studies, an assumption was put forward that all word usage frequencies have uniform dynamics approaching the shape of a Gaussian function. This assumption can be checked using the frequency dictionaries of the Google Books Ngram database. This database includes 5.2 million books published between 1500 and 2008. The corpus contains over 500 billion words in American English, British English, French, German, Spanish, Russian, Hebrew, and Chinese. We clustered time series of word usage frequencies using a Kohonen neural network. The similarity between input vectors was estimated using several algorithms. As a result of the neural network training procedure, more than ten different forms of time series were found. They describe the dynamics of word usage frequencies from birth to death of individual words. Different groups of word forms were found to have different dynamics of word usage frequency variations.

Use of positive and negative words in scientific PubMed abstracts between 1974 and 2014: retrospective analysis.

PubMed

Vinkers, Christiaan H; Tijdink, Joeri K; Otte, Willem M

2015-12-14

To investigate whether language used in science abstracts can skew towards the use of strikingly positive and negative words over time. Retrospective analysis of all scientific abstracts in PubMed between 1974 and 2014. The yearly frequencies of positive, negative, and neutral words (25 preselected words in each category), plus 100 randomly selected words were normalised for the total number of abstracts. Subanalyses included pattern quantification of individual words, specificity for selected high impact journals, and comparison between author affiliations within or outside countries with English as the official majority language. Frequency patterns were compared with 4% of all books ever printed and digitised by use of Google Books Ngram Viewer. Frequencies of positive and negative words in abstracts compared with frequencies of words with a neutral and random connotation, expressed as relative change since 1980. The absolute frequency of positive words increased from 2.0% (1974-80) to 17.5% (2014), a relative increase of 880% over four decades. All 25 individual positive words contributed to the increase, particularly the words "robust," "novel," "innovative," and "unprecedented," which increased in relative frequency up to 15,000%. Comparable but less pronounced results were obtained when restricting the analysis to selected journals with high impact factors. Authors affiliated to an institute in a non-English speaking country used significantly more positive words. Negative word frequencies increased from 1.3% (1974-80) to 3.2% (2014), a relative increase of 257%. Over the same time period, no apparent increase was found in neutral or random word use, or in the frequency of positive word use in published books. Our lexicographic analysis indicates that scientific abstracts are currently written with more positive and negative words, and provides an insight into the evolution of scientific writing. Apparently scientists look on the bright side of research results. But whether this perception fits reality should be questioned. 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.

Have sperm counts deteriorated over the past 20 years in healthy, young Japanese men? Results from the Sapporo area.

PubMed

Itoh, N; Kayama, F; Tatsuki, T J; Tsukamoto, T

2001-01-01

Changes in semen quality of healthy men is a controversial issue throughout the world. It is suspected that many chemical endocrine disrupters may affect the quality of semen. Although exposure to them may be extensive in Japan, no evidence of changes in semen quality has been reported. In this study, changes in semen volume and sperm counts were analyzed over 20 years in the Sapporo area of Japan. Semen volume and sperm counts were measured in 254 and 457 normal, healthy volunteers who lived in the Sapporo area in 1975-1980 and 1998, respectively. Posters and handbills were used to recruit participants in both studies. Semen samples were collected by masturbation after 3 days or more of abstinence. There was no change in semen volume between 1975-1980 and 1998. Mean sperm counts were 70.9 +/- 47.3 x 10(6)/mL in 1975-1980 and 79.6 +/- 49.3 x 10(6)/mL in 1998. Sperm counts did not decline over about 20 years. No significant correlation between age and sperm counts was recognized in either study. The rates of subjects with oligozoospermia and azoospermia were the same in both studies. In the 1975-1980 study, 34 of 254 (13.4%) participants had a child, and in the 1998 study, 51 of 457 (11.2%) participants had a child. Mean sperm count was significantly (P < .02) lower in the earlier study (66.0 +/- 44.9 x 106/mL) than in the 1998 study (98.7 +/- 60.2 x 10(6)/mL). This is the first reliable report in which changes in sperm counts in Japan were studied. We conclude that there was no evidence of deterioration in sperm counts of normal healthy men who lived in the Sapporo area of Japan over 20 years. However, selection bias in the recruitment of volunteers and the issue of variable abstinence might have affected the results of these studies. Therefore, well-designed prospective studies should be performed in several different regions to extrapolate our results on sperm counts to healthy, young Japanese men in general. Key words: Fertility, endocrine disruptors, seminalysis.

WordSeeker: concurrent bioinformatics software for discovering genome-wide patterns and word-based genomic signatures

PubMed Central

2010-01-01

Background An important focus of genomic science is the discovery and characterization of all functional elements within genomes. In silico methods are used in genome studies to discover putative regulatory genomic elements (called words or motifs). Although a number of methods have been developed for motif discovery, most of them lack the scalability needed to analyze large genomic data sets. Methods This manuscript presents WordSeeker, an enumerative motif discovery toolkit that utilizes multi-core and distributed computational platforms to enable scalable analysis of genomic data. A controller task coordinates activities of worker nodes, each of which (1) enumerates a subset of the DNA word space and (2) scores words with a distributed Markov chain model. Results A comprehensive suite of performance tests was conducted to demonstrate the performance, speedup and efficiency of WordSeeker. The scalability of the toolkit enabled the analysis of the entire genome of Arabidopsis thaliana; the results of the analysis were integrated into The Arabidopsis Gene Regulatory Information Server (AGRIS). A public version of WordSeeker was deployed on the Glenn cluster at the Ohio Supercomputer Center. Conclusion WordSeeker effectively utilizes concurrent computing platforms to enable the identification of putative functional elements in genomic data sets. This capability facilitates the analysis of the large quantity of sequenced genomic data. PMID:21210985

Big spleens and hypersplenism: fix it or forget it?

PubMed

Boyer, Thomas D; Habib, Shahid

2015-05-01

Hypersplenism is a common manifestation of portal hypertension in the cirrhotic. More than half of cirrhotics will have low platelet counts, but neutropenia is much less common. Despite being common in the cirrhotic population, the presence of hypersplenism is of little clinical consequence. The presence of hypersplenism suggests more advanced liver disease and an increase in risk of complications, but there is no data showing that correcting the hypersplenism improves patient survival. In most series, the most common indications for treating the hypersplenism is to increase platelet and white blood cell counts to allow for use of drugs that suppress the bone marrow such as interferon alpha and chemotherapeutic agents. There are several approaches used to treat hypersplenism. Portosystemic shunts are of questionable benefit. Splenectomy, either open or laparoscopically, is the most effective but is associated with a significant risk of portal vein thrombosis. Partial splenic artery embolization and radiofrequency ablation are effective methods for treating hypersplenism, but counts tend to fall back to baseline long-term. Pharmacological agents are also effective in increasing platelet counts. Development of direct acting antivirals against hepatitis C will eliminate the most common indication for treatment. We lack controlled trials designed to determine if treating the hypersplenism has benefits other than raising the platelet and white blood cell counts. In the absence of such studies, hypersplenism in most patients should be considered a laboratory abnormality and not treated, in other words forget it. © 2014 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Rapid automatic keyword extraction for information retrieval and analysis

DOEpatents

Rose, Stuart J [Richland, WA; Cowley,; E, Wendy [Richland, WA; Crow, Vernon L [Richland, WA; Cramer, Nicholas O [Richland, WA

2012-03-06

Methods and systems for rapid automatic keyword extraction for information retrieval and analysis. Embodiments can include parsing words in an individual document by delimiters, stop words, or both in order to identify candidate keywords. Word scores for each word within the candidate keywords are then calculated based on a function of co-occurrence degree, co-occurrence frequency, or both. Based on a function of the word scores for words within the candidate keyword, a keyword score is calculated for each of the candidate keywords. A portion of the candidate keywords are then extracted as keywords based, at least in part, on the candidate keywords having the highest keyword scores.

Involuntary awareness and implicit priming: role of retrieval context.

PubMed

Zhou, Renlai; Hu, Senqi; Sun, Xuefei; Huang, Junhong

2006-10-01

This study examined the role of retrieval context in implicit priming by manipulating percentage of word-stem index as shallow and deep processing while performing a word-stem completion task. 80 subjects were randomly divided into four groups each of 20 subjects: shallow processing or deep processing with few retrieval indices, and shallow processing or deep processing with many retrieval indices. Analysis indicated that proportion of word-stem completion was significantly higher for studied words than for nonstudied words in all four groups and that the subjects in the groups with many retrieval indices had a significantly increased proportion of word-stem completion between studied and nonstudied words than those in the groups with few retrieval indices. Postquestionnaire analysis indicated that more previously studied items were retrieved if many studied items were available during implicit word-stem completion and that only a small proportion of word-stem completion was finished with studied words by the subjects who were aware of the prior studied and test word relations in all four groups. It was concluded that having more studied words retrievable contributed to more being retrieved and that involuntary awareness had very limited influence on the priming in the implicit word-stem completion.

Discrimination in lexical decision

PubMed Central

Feldman, Laurie Beth; Ramscar, Michael; Hendrix, Peter; Baayen, R. Harald

2017-01-01

In this study we present a novel set of discrimination-based indicators of language processing derived from Naive Discriminative Learning (ndl) theory. We compare the effectiveness of these new measures with classical lexical-distributional measures—in particular, frequency counts and form similarity measures—to predict lexical decision latencies when a complete morphological segmentation of masked primes is or is not possible. Data derive from a re-analysis of a large subset of decision latencies from the English Lexicon Project, as well as from the results of two new masked priming studies. Results demonstrate the superiority of discrimination-based predictors over lexical-distributional predictors alone, across both the simple and primed lexical decision tasks. Comparable priming after masked corner and cornea type primes, across two experiments, fails to support early obligatory segmentation into morphemes as predicted by the morpho-orthographic account of reading. Results fit well with ndl theory, which, in conformity with Word and Paradigm theory, rejects the morpheme as a relevant unit of analysis. Furthermore, results indicate that readers with greater spelling proficiency and larger vocabularies make better use of orthographic priors and handle lexical competition more efficiently. PMID:28235015

Discrimination in lexical decision.

PubMed

Milin, Petar; Feldman, Laurie Beth; Ramscar, Michael; Hendrix, Peter; Baayen, R Harald

2017-01-01

In this study we present a novel set of discrimination-based indicators of language processing derived from Naive Discriminative Learning (ndl) theory. We compare the effectiveness of these new measures with classical lexical-distributional measures-in particular, frequency counts and form similarity measures-to predict lexical decision latencies when a complete morphological segmentation of masked primes is or is not possible. Data derive from a re-analysis of a large subset of decision latencies from the English Lexicon Project, as well as from the results of two new masked priming studies. Results demonstrate the superiority of discrimination-based predictors over lexical-distributional predictors alone, across both the simple and primed lexical decision tasks. Comparable priming after masked corner and cornea type primes, across two experiments, fails to support early obligatory segmentation into morphemes as predicted by the morpho-orthographic account of reading. Results fit well with ndl theory, which, in conformity with Word and Paradigm theory, rejects the morpheme as a relevant unit of analysis. Furthermore, results indicate that readers with greater spelling proficiency and larger vocabularies make better use of orthographic priors and handle lexical competition more efficiently.

What do foreign neighbors say about the mental lexicon?*

PubMed Central

VITEVITCH, MICHAEL S.

2012-01-01

A corpus analysis of phonological word-forms shows that English words have few phonological neighbors that are Spanish words. Concomitantly, Spanish words have few phonological neighbors that are English words. These observations appear to undermine certain accounts of bilingual language processing, and have significant implications for the processing and representation of word-forms in bilinguals. PMID:23930081

Volatile substance misuse deaths in Washington State, 2003-2012.

PubMed

Ossiander, Eric M

2015-01-01

Volatile substance misuse (VSM - also known as huffing or sniffing) causes some deaths, but because there are no specific cause-of-death codes for VSM, these deaths are rarely tabulated. Count and describe VSM deaths occurring in Washington State during 2003-2012. We used the textual cause-of-death information on death certificates to count VSM-associated deaths that occurred in Washington State during 2003-2012. We extracted records that contained words suggesting either a method of inhalation or a substance commonly used for VSM, and reviewed those records to identify deaths on which the inhalation of a volatile substance was mentioned. We conducted a descriptive analysis of those deaths. Fifty-six deaths involving VSM occurred in Washington State during 2003-2012. VSM deaths occurred primarily among adults age 20 and over (91%), males (88%), and whites (93%). Twelve different chemicals were associated with deaths, but 1 of them, difluoroethane, was named on 30 death certificates (54%), and its involvement increased during the study period. Gas duster products were named as the source of difluoroethane for 12 deaths; no source was named for the other 18 difluoroethane deaths. Most VSM deaths occurred among white male adults, and gas duster products containing difluoroethane were the primary source of inhalants. Approaches to deter VSM, such as the addition of bitterants to gas dusters, should be explored.

Identification of misspelled words without a comprehensive dictionary using prevalence analysis.

PubMed

Turchin, Alexander; Chu, Julia T; Shubina, Maria; Einbinder, Jonathan S

2007-10-11

Misspellings are common in medical documents and can be an obstacle to information retrieval. We evaluated an algorithm to identify misspelled words through analysis of their prevalence in a representative body of text. We evaluated the algorithm's accuracy of identifying misspellings of 200 anti-hypertensive medication names on 2,000 potentially misspelled words randomly selected from narrative medical documents. Prevalence ratios (the frequency of the potentially misspelled word divided by the frequency of the non-misspelled word) in physician notes were computed by the software for each of the words. The software results were compared to the manual assessment by an independent reviewer. Area under the ROC curve for identification of misspelled words was 0.96. Sensitivity, specificity, and positive predictive value were 99.25%, 89.72% and 82.9% for the prevalence ratio threshold (0.32768) with the highest F-measure (0.903). Prevalence analysis can be used to identify and correct misspellings with high accuracy.

Automatic vigilance for negative words in lexical decision and naming: comment on Larsen, Mercer, and Balota (2006).

PubMed

Estes, Zachary; Adelman, James S

2008-08-01

An automatic vigilance hypothesis states that humans preferentially attend to negative stimuli, and this attention to negative valence disrupts the processing of other stimulus properties. Thus, negative words typically elicit slower color naming, word naming, and lexical decisions than neutral or positive words. Larsen, Mercer, and Balota analyzed the stimuli from 32 published studies, and they found that word valence was confounded with several lexical factors known to affect word recognition. Indeed, with these lexical factors covaried out, Larsen et al. found no evidence of automatic vigilance. The authors report a more sensitive analysis of 1011 words. Results revealed a small but reliable valence effect, such that negative words (e.g., "shark") elicit slower lexical decisions and naming than positive words (e.g., "beach"). Moreover, the relation between valence and recognition was categorical rather than linear; the extremity of a word's valence did not affect its recognition. This valence effect was not attributable to word length, frequency, orthographic neighborhood size, contextual diversity, first phoneme, or arousal. Thus, the present analysis provides the most powerful demonstration of automatic vigilance to date.

Visualization and Analysis of Geology Word Vectors for Efficient Information Extraction

NASA Astrophysics Data System (ADS)

Floyd, J. S.

2016-12-01

When a scientist begins studying a new geographic region of the Earth, they frequently begin by gathering relevant scientific literature in order to understand what is known, for example, about the region's geologic setting, structure, stratigraphy, and tectonic and environmental history. Experienced scientists typically know what keywords to seek and understand that if a document contains one important keyword, then other words in the document may be important as well. Word relationships in a document give rise to what is known in linguistics as the context-dependent nature of meaning. For example, the meaning of the word `strike' in geology, as in the strike of a fault, is quite different from its popular meaning in baseball. In addition, word order, such as in the phrase `Cretaceous-Tertiary boundary,' often corresponds to the order of sequences in time or space. The context of words and the relevance of words to each other can be derived quantitatively by machine learning vector representations of words. Here we show the results of training a neural network to create word vectors from scientific research papers from selected rift basins and mid-ocean ridges: the Woodlark Basin of Papua New Guinea, the Hess Deep rift, and the Gulf of Mexico basin. The word vectors are statistically defined by surrounding words within a given window, limited by the length of each sentence. The word vectors are analyzed by their cosine distance to related words (e.g., `axial' and `magma'), classified by high dimensional clustering, and visualized by reducing the vector dimensions and plotting the vectors on a two- or three-dimensional graph. Similarity analysis of `Triassic' and `Cretaceous' returns `Jurassic' as the nearest word vector, suggesting that the model is capable of learning the geologic time scale. Similarity analysis of `basalt' and `minerals' automatically returns mineral names such as `chlorite', `plagioclase,' and `olivine.' Word vector analysis and visualization allow one to extract information from hundreds of papers or more and find relationships in less time than it would take to read all of the papers. As machine learning tools become more commonly available, more and more scientists will be able to use and refine these tools for their individual needs.

Counting pollen grains using readily available, free image processing and analysis software.

PubMed

Costa, Clayton M; Yang, Suann

2009-10-01

Although many methods exist for quantifying the number of pollen grains in a sample, there are few standard methods that are user-friendly, inexpensive and reliable. The present contribution describes a new method of counting pollen using readily available, free image processing and analysis software. Pollen was collected from anthers of two species, Carduus acanthoides and C. nutans (Asteraceae), then illuminated on slides and digitally photographed through a stereomicroscope. Using ImageJ (NIH), these digital images were processed to remove noise and sharpen individual pollen grains, then analysed to obtain a reliable total count of the number of grains present in the image. A macro was developed to analyse multiple images together. To assess the accuracy and consistency of pollen counting by ImageJ analysis, counts were compared with those made by the human eye. Image analysis produced pollen counts in 60 s or less per image, considerably faster than counting with the human eye (5-68 min). In addition, counts produced with the ImageJ procedure were similar to those obtained by eye. Because count parameters are adjustable, this image analysis protocol may be used for many other plant species. Thus, the method provides a quick, inexpensive and reliable solution to counting pollen from digital images, not only reducing the chance of error but also substantially lowering labour requirements.

Application of Logic to Integer Sequences: A Survey

NASA Astrophysics Data System (ADS)

Makowsky, Johann A.

Chomsky and Schützenberger showed in 1963 that the sequence d L (n), which counts the number of words of a given length n in a regular language L, satisfies a linear recurrence relation with constant coefficients for n, or equivalently, the generating function g_L(x)=sumn d_L(n) x^n is a rational function. In this talk we survey results concerning sequences a(n) of natural numbers which satisfy linear recurrence relations over ℤ or ℤ m , and

Toward a Leaner, More Agile Force: The Army in a Time of Fiscal Austerity

DTIC Science & Technology

2016-10-27

challenges. Toward a Leaner, More Agile Force: The Army in a Time of Fiscal Austerity Word Count: 1817 Toward a Leaner, More Agile Force: The...Army in a Time of Fiscal Austerity As the Department of Defense seeks to cut its budget, the overall force structure of the Army will continue to...degree of flexibility during previous instances of fiscal austerity , and that flexibility has not been lost. The Army is a learning organization as

Collective Training and Fielding Opportunities for the Objective Force Maneuver Systems at the Unit of Action Level in a Unit Manning/Unit Replacement Personnel System

DTIC Science & Technology

2003-04-07

PERSON Rife, Dave RifeD@awc.carlisle.army.mil a. REPORT Unclassified b. ABSTRACT Unclassified c. THIS PAGE Unclassified 19b. TELEPHONE NUMBER International...38 WORD COUNT = 8975 39 40 ENDNOTES 1 COL Pete Zielinski , Director, Joint/Army concepts HQs TRADOC “Transformation Update” briefing slide #9, Briefing...Staff. Interviewed by author, 18 February 2003, Carlisle Barracks, PA. Zielinski , Pete, COL Director, Joint/Army concepts HQs TRADOC “Transformation

Optimal choice of word length when comparing two Markov sequences using a χ 2-statistic.

PubMed

Bai, Xin; Tang, Kujin; Ren, Jie; Waterman, Michael; Sun, Fengzhu

2017-10-03

Alignment-free sequence comparison using counts of word patterns (grams, k-tuples) has become an active research topic due to the large amount of sequence data from the new sequencing technologies. Genome sequences are frequently modelled by Markov chains and the likelihood ratio test or the corresponding approximate χ 2 -statistic has been suggested to compare two sequences. However, it is not known how to best choose the word length k in such studies. We develop an optimal strategy to choose k by maximizing the statistical power of detecting differences between two sequences. Let the orders of the Markov chains for the two sequences be r 1 and r 2 , respectively. We show through both simulations and theoretical studies that the optimal k= max(r 1 ,r 2 )+1 for both long sequences and next generation sequencing (NGS) read data. The orders of the Markov chains may be unknown and several methods have been developed to estimate the orders of Markov chains based on both long sequences and NGS reads. We study the power loss of the statistics when the estimated orders are used. It is shown that the power loss is minimal for some of the estimators of the orders of Markov chains. Our studies provide guidelines on choosing the optimal word length for the comparison of Markov sequences.

What Do Foreign Neighbors Say about the Mental Lexicon?

ERIC Educational Resources Information Center

Vitevitch, Michael S.

2012-01-01

A corpus analysis of phonological word-forms shows that English words have few phonological neighbors that are Spanish words. Concomitantly, Spanish words have few phonological neighbors that are English words. These observations appear to undermine certain accounts of bilingual language processing, and have significant implications for the…

Defining and measuring cyberbullying within the larger context of bullying victimization

PubMed Central

Ybarra, Michele; boyd, danah; Korchmaros, Josephine; Oppenheim, Jay (Koby)

2012-01-01

Methods Two split-form surveys were conducted online among 6–17 year olds (n=1,200 each) to inform recommendations for cyberbullying measurement. Results Measures that use the word ‘bully’ result in prevalence rates similar to each other whether or not a definition is included, whereas measures not using the word ‘bully’ are similar to each other whether or not a definition is included. A behavioral list of bullying experiences without either a definition or the word ‘bully’ results in higher prevalence rates and likely measures experiences that are beyond the definition of ‘bullying’. Follow-up questions querying differential power, repetition, and bullying over time were used to examine misclassification. The measure using a definition but not the word ‘bully’ appeared to have the highest rate of false positives and, therefore, the highest rate of misclassification. Across two studies, an average of 25% reported being bullied at least monthly in person compared with an average of 10% bullied online, 7% via telephone (cell or landline), and 8% via text messaging. Conclusions Measures of bullying among English-speaking samples in the US should include the word ‘bully’ when possible. The definition may be a useful tool for researchers, but results suggest that it does not necessarily yield a more rigorous measure of bullying victimization. Directly measuring aspects of bullying (i.e., differential power, repetition, over time) reduces misclassification. To prevent double counting across categories, we conceptualize cyberbullying as bullying communicated through the online mode; type (e.g., verbal, relational), and environment (e.g., school, home) are additional domains of bullying. PMID:22727077

Error biases in inner and overt speech: evidence from tongue twisters.

PubMed

Corley, Martin; Brocklehurst, Paul H; Moat, H Susannah

2011-01-01

To compare the properties of inner and overt speech, Oppenheim and Dell (2008) counted participants' self-reported speech errors when reciting tongue twisters either overtly or silently and found a bias toward substituting phonemes that resulted in words in both conditions, but a bias toward substituting similar phonemes only when speech was overt. Here, we report 3 experiments revisiting their conclusion that inner speech remains underspecified at the subphonemic level, which they simulated within an activation-feedback framework. In 2 experiments, participants recited tongue twisters that could result in the errorful substitutions of similar or dissimilar phonemes to form real words or nonwords. Both experiments included an auditory masking condition, to gauge the possible impact of loss of auditory feedback on the accuracy of self-reporting of speech errors. In Experiment 1, the stimuli were composed entirely from real words, whereas, in Experiment 2, half the tokens used were nonwords. Although masking did not have any effects, participants were more likely to report substitutions of similar phonemes in both experiments, in inner as well as overt speech. This pattern of results was confirmed in a 3rd experiment using the real-word materials from Oppenheim and Dell (in press). In addition to these findings, a lexical bias effect found in Experiments 1 and 3 disappeared in Experiment 2. Our findings support a view in which plans for inner speech are indeed specified at the feature level, even when there is no intention to articulate words overtly, and in which editing of the plan for errors is implicated. (PsycINFO Database Record (c) 2010 APA, all rights reserved).

Semi-supervised word polarity identification in resource-lean languages.

PubMed

Dehdarbehbahani, Iman; Shakery, Azadeh; Faili, Heshaam

2014-10-01

Sentiment words, as fundamental constitutive parts of subjective sentences, have a substantial effect on analysis of opinions, emotions and beliefs. Most of the proposed methods for identifying the semantic orientations of words exploit rich linguistic resources such as WordNet, subjectivity corpora, or polarity tagged words. Shortage of such linguistic resources in resource-lean languages affects the performance of word polarity identification in these languages. In this paper, we present a method which exploits a language with rich subjectivity analysis resources (English) to identify the polarity of words in a resource-lean foreign language. The English WordNet and a sparse foreign WordNet infrastructure are used to create a heterogeneous, multilingual and weighted semantic network. To identify the semantic orientation of foreign words, a random walk based method is applied to the semantic network along with a set of automatically weighted English positive and negative seeds. In a post-processing phase, synonym and antonym relations in the foreign WordNet are used to filter the random walk results. Our experiments on English and Persian languages show that the proposed method can outperform state-of-the-art word polarity identification methods in both languages. Copyright © 2014 Elsevier Ltd. All rights reserved.

Pattern statistics on Markov chains and sensitivity to parameter estimation

PubMed Central

Nuel, Grégory

2006-01-01

Background: In order to compute pattern statistics in computational biology a Markov model is commonly used to take into account the sequence composition. Usually its parameter must be estimated. The aim of this paper is to determine how sensitive these statistics are to parameter estimation, and what are the consequences of this variability on pattern studies (finding the most over-represented words in a genome, the most significant common words to a set of sequences,...). Results: In the particular case where pattern statistics (overlap counting only) computed through binomial approximations we use the delta-method to give an explicit expression of σ, the standard deviation of a pattern statistic. This result is validated using simulations and a simple pattern study is also considered. Conclusion: We establish that the use of high order Markov model could easily lead to major mistakes due to the high sensitivity of pattern statistics to parameter estimation. PMID:17044916

Pattern statistics on Markov chains and sensitivity to parameter estimation.

PubMed

Nuel, Grégory

2006-10-17

In order to compute pattern statistics in computational biology a Markov model is commonly used to take into account the sequence composition. Usually its parameter must be estimated. The aim of this paper is to determine how sensitive these statistics are to parameter estimation, and what are the consequences of this variability on pattern studies (finding the most over-represented words in a genome, the most significant common words to a set of sequences,...). In the particular case where pattern statistics (overlap counting only) computed through binomial approximations we use the delta-method to give an explicit expression of sigma, the standard deviation of a pattern statistic. This result is validated using simulations and a simple pattern study is also considered. We establish that the use of high order Markov model could easily lead to major mistakes due to the high sensitivity of pattern statistics to parameter estimation.

Resources for Teaching Word Identification.

ERIC Educational Resources Information Center

Schell, Leo M., Ed.; And Others

Only materials specifically designed to teach one or more of the following word identification skills were included in this booklet: sight words, context clues, phonic analysis, structural analysis, and dictionary skills. Materials for grades one through six are stressed, although a few materials suitable for secondary school students are listed.…

Clostridium perfringens and somatic coliphages as indicators of the efficiency of drinking water treatment for viruses and protozoan cysts.

PubMed Central

Payment, P; Franco, E

1993-01-01

To find the most suitable indicator of viral and parasitic contamination of drinking water, large-volume samples were collected and analyzed for the presence of pathogens (cultivable human enteric viruses, Giardia lamblia cysts, and Cryptosporidium oocysts) and potential indicators (somatic and male-specific coliphages, Clostridium perfringens). The samples were obtained from three water treatment plants by using conventional or better treatments (ozonation, biological filtration). All samples of river water contained the microorganisms sought, and only C. perfringens counts were correlated with human enteric viruses, cysts, or oocysts. For settled and filtered water samples, all indicators were statistically correlated with human enteric viruses but not with cysts or oocysts. By using multiple regression, the somatic coliphage counts were the only explanatory variable for the human enteric virus counts in settled water, while in filtered water samples it was C. perfringens counts. Finished water samples of 1,000 liters each were free of all microorganisms, except for a single sample that contained low levels of cysts and oocysts of undetermined viability. Three of nine finished water samples of 20,000 liters each revealed residual levels of somatic coliphages at 0.03, 0.10, and 0.26 per 100 liters. Measured virus removal was more than 4 to 5 log10, and cyst removal was more than 4 log10. Coliphage and C. perfringens counts suggested that the total removal and inactivation was more than 7 log10 viable microorganisms. C. perfringens counts appear to be the most suitable indicator for the inactivation and removal of viruses in drinking water treatment.(ABSTRACT TRUNCATED AT 250 WORDS) PMID:8368831

Oscillatory brain dynamics associated with the automatic processing of emotion in words.

PubMed

Wang, Lin; Bastiaansen, Marcel

2014-10-01

This study examines the automaticity of processing the emotional aspects of words, and characterizes the oscillatory brain dynamics that accompany this automatic processing. Participants read emotionally negative, neutral and positive nouns while performing a color detection task in which only perceptual-level analysis was required. Event-related potentials and time frequency representations were computed from the concurrently measured EEG. Negative words elicited a larger P2 and a larger late positivity than positive and neutral words, indicating deeper semantic/evaluative processing of negative words. In addition, sustained alpha power suppressions were found for the emotional compared to neutral words, in the time range from 500 to 1000ms post-stimulus. These results suggest that sustained attention was allocated to the emotional words, whereas the attention allocated to the neutral words was released after an initial analysis. This seems to hold even when the emotional content of the words is task-irrelevant. Copyright © 2014 Elsevier Inc. All rights reserved.

The Left Occipitotemporal Cortex Does Not Show Preferential Activity for Words

PubMed Central

Petersen, Steven E.; Schlaggar, Bradley L.

2012-01-01

Regions in left occipitotemporal (OT) cortex, including the putative visual word form area, are among the most commonly activated in imaging studies of single-word reading. It remains unclear whether this part of the brain is more precisely characterized as specialized for words and/or letters or contains more general-use visual regions having properties useful for processing word stimuli, among others. In Analysis 1, we found no evidence of greater activity in left OT regions for words or letter strings relative to other high–spatial frequency high-contrast stimuli, including line drawings and Amharic strings (which constitute the Ethiopian writing system). In Analysis 2, we further investigated processing characteristics of OT cortex potentially useful in reading. Analysis 2 showed that a specific part of OT cortex 1) is responsive to visual feature complexity, measured by the number of strokes forming groups of letters or Amharic strings and 2) processes learned combinations of characters, such as those in words and pseudowords, as groups but does not do so in consonant and Amharic strings. Together, these results indicate that while regions of left OT cortex are not specialized for words, at least part of OT cortex has properties particularly useful for processing words and letters. PMID:22235035

The tool for the automatic analysis of lexical sophistication (TAALES): version 2.0.

PubMed

Kyle, Kristopher; Crossley, Scott; Berger, Cynthia

2017-07-11

This study introduces the second release of the Tool for the Automatic Analysis of Lexical Sophistication (TAALES 2.0), a freely available and easy-to-use text analysis tool. TAALES 2.0 is housed on a user's hard drive (allowing for secure data processing) and is available on most operating systems (Windows, Mac, and Linux). TAALES 2.0 adds 316 indices to the original tool. These indices are related to word frequency, word range, n-gram frequency, n-gram range, n-gram strength of association, contextual distinctiveness, word recognition norms, semantic network, and word neighbors. In this study, we validated TAALES 2.0 by investigating whether its indices could be used to model both holistic scores of lexical proficiency in free writes and word choice scores in narrative essays. The results indicated that the TAALES 2.0 indices could be used to explain 58% of the variance in lexical proficiency scores and 32% of the variance in word-choice scores. Newly added TAALES 2.0 indices, including those related to n-gram association strength, word neighborhood, and word recognition norms, featured heavily in these predictor models, suggesting that TAALES 2.0 represents a substantial upgrade.

Rapid enumeration of viable bacteria by image analysis

NASA Technical Reports Server (NTRS)

Singh, A.; Pyle, B. H.; McFeters, G. A.

1989-01-01

A direct viable counting method for enumerating viable bacteria was modified and made compatible with image analysis. A comparison was made between viable cell counts determined by the spread plate method and direct viable counts obtained using epifluorescence microscopy either manually or by automatic image analysis. Cultures of Escherichia coli, Salmonella typhimurium, Vibrio cholerae, Yersinia enterocolitica and Pseudomonas aeruginosa were incubated at 35 degrees C in a dilute nutrient medium containing nalidixic acid. Filtered samples were stained for epifluorescence microscopy and analysed manually as well as by image analysis. Cells enlarged after incubation were considered viable. The viable cell counts determined using image analysis were higher than those obtained by either the direct manual count of viable cells or spread plate methods. The volume of sample filtered or the number of cells in the original sample did not influence the efficiency of the method. However, the optimal concentration of nalidixic acid (2.5-20 micrograms ml-1) and length of incubation (4-8 h) varied with the culture tested. The results of this study showed that under optimal conditions, the modification of the direct viable count method in combination with image analysis microscopy provided an efficient and quantitative technique for counting viable bacteria in a short time.

Semantic relatedness between words in each individual brain: an event-related potential study.

PubMed

Hata, Masahiro; Homae, Fumitaka; Hagiwara, Hiroko

2011-08-26

The relationship between 2 words is judged by the meanings of words. Here, we examined how the semantic relatedness of words is structured in each individual brain. During measurements of event-related potentials (ERPs), participants performed semantic-relatedness judgments of word pairs. For each participant, we divided word pairs into 2 groups--related and unrelated pairs--and compared their ERPs. All of the participants showed a significant N400 effect. However, when we applied an identical grouping of pairs, this effect was observed only in half the number of the participants. These results show that our single-subject analysis of N400 extracted semantic relatedness of words in the individual brain. Future studies using this analysis will clarify the organization of the mental lexicon. Copyright © 2011 Elsevier Ireland Ltd. All rights reserved.

Automatic Text Analysis Based on Transition Phenomena of Word Occurrences

ERIC Educational Resources Information Center

Pao, Miranda Lee

1978-01-01

Describes a method of selecting index terms directly from a word frequency list, an idea originally suggested by Goffman. Results of the analysis of word frequencies of two articles seem to indicate that the automated selection of index terms from a frequency list holds some promise for automatic indexing. (Author/MBR)

The research on medical image classification algorithm based on PLSA-BOW model.

PubMed

Cao, C H; Cao, H L

2016-04-29

With the rapid development of modern medical imaging technology, medical image classification has become more important for medical diagnosis and treatment. To solve the existence of polysemous words and synonyms problem, this study combines the word bag model with PLSA (Probabilistic Latent Semantic Analysis) and proposes the PLSA-BOW (Probabilistic Latent Semantic Analysis-Bag of Words) model. In this paper we introduce the bag of words model in text field to image field, and build the model of visual bag of words model. The method enables the word bag model-based classification method to be further improved in accuracy. The experimental results show that the PLSA-BOW model for medical image classification can lead to a more accurate classification.

What do people with aphasia want to be able to say? A content analysis of words identified as personally relevant by people with aphasia.

PubMed

Palmer, Rebecca; Hughes, Helen; Chater, Tim

2017-01-01

Word finding is a common difficulty for people with aphasia. Targeting words that are relevant to the individual could maximise the usefulness and impact of word finding therapy. To provide insights into words that people with aphasia perceive to be personally relevant. 100 people with aphasia were each asked to identify 100 words that would be particularly important for them to be able to say. Two speech and language therapist researchers conducted a quantitative content analysis of the words selected. The words were coded into a framework of topics and subtopics. The frequency with which different words and topics were selected was then calculated. 100 participants representing 20 areas of the United Kingdom ranged in age from 23 to 85 years. Word finding difficulties ranged from mild to severe. The sample of 9999 words selected for practice included 3095 different words in 27 topics. The majority of words selected (79.4%) were from the topics 'food and drink' (30.6%), 'nature and gardening' (10.3%), 'entertainment' (9.4%), 'places' (7.3%), 'people' (6.7%), 'house' (6.5%), 'clothes' (5.2%) and 'travel' (3.5%). The 100 words types chosen with the greatest frequency were identified. These account for 27 percent of the 9999 words chosen by the participants. Personally relevant vocabulary is unique to each individual and is likely to contain specific or specialist words for which material needs to be individually prepared. However there is some commonality in the words chosen by people with aphasia. This could inform pre-prepared materials for use in word finding therapy from which personally relevant words could be selected for practice.

What do people with aphasia want to be able to say? A content analysis of words identified as personally relevant by people with aphasia

PubMed Central

Hughes, Helen; Chater, Tim

2017-01-01

Background Word finding is a common difficulty for people with aphasia. Targeting words that are relevant to the individual could maximise the usefulness and impact of word finding therapy. Aims To provide insights into words that people with aphasia perceive to be personally relevant. Methods and procedures 100 people with aphasia were each asked to identify 100 words that would be particularly important for them to be able to say. Two speech and language therapist researchers conducted a quantitative content analysis of the words selected. The words were coded into a framework of topics and subtopics. The frequency with which different words and topics were selected was then calculated. Outcomes and results 100 participants representing 20 areas of the United Kingdom ranged in age from 23 to 85 years. Word finding difficulties ranged from mild to severe. The sample of 9999 words selected for practice included 3095 different words in 27 topics. The majority of words selected (79.4%) were from the topics ‘food and drink’ (30.6%), ‘nature and gardening’ (10.3%), ‘entertainment’ (9.4%), ‘places’ (7.3%), ‘people’ (6.7%), ‘house’ (6.5%), ‘clothes’ (5.2%) and ‘travel’ (3.5%). The 100 words types chosen with the greatest frequency were identified. These account for 27 percent of the 9999 words chosen by the participants. Discussion Personally relevant vocabulary is unique to each individual and is likely to contain specific or specialist words for which material needs to be individually prepared. However there is some commonality in the words chosen by people with aphasia. This could inform pre-prepared materials for use in word finding therapy from which personally relevant words could be selected for practice. PMID:28346518

Exploring the relationship between changes in weight and utterances in an online weight loss forum: a content and correlational analysis study.

PubMed

Hekler, Eric B; Dubey, Gaurav; McDonald, David W; Poole, Erika S; Li, Victor; Eikey, Elizabeth

2014-12-08

There is increasing interest in the use of online forums as a component of eHealth weight loss interventions. Although the research is mixed on the utility of online forums in general, results suggest that there is promise to this, particularly if the systems can be designed well to support healthful interactions that foster weight loss and continued engagement. The purpose of this study was to examine the relationship between the styles of utterances individuals make on an online weight loss forum and week-to-week fluctuations in weight. This analysis was conducted to generate hypotheses on possible strategies that could be used to improve the overall design of online support groups to facilitate more healthful interactions. A convenience sample of individuals using an online weight loss forum (N=4132) included data both on online forum use and weight check-in data. All interactions were coded utilizing the Linguistic Inquiry and Word Count (LIWC) system. Mixed model analyses were conducted to examine the relationship between these LIWC variables and weight over time. Results suggested that increased use of past-tense verbs (P=.05) and motion (P=.02) were associated with lower weekly weights whereas increased use of conjunctions (eg, and, but, whereas; P=.001) and exclusion words (eg, but, without, exclude; P=.07) were both associated with higher weight during the weeks when these utterances were used more. These results provide some insights on the styles of interactions that appear to be associated with weight fluctuations. Future work should explore the stability of these findings and also explore possibilities for fostering these types of interactions more explicitly within online weight loss forums.

Exploring the Relationship Between Changes in Weight and Utterances in an Online Weight Loss Forum: A Content and Correlational Analysis Study

PubMed Central

Dubey, Gaurav; McDonald, David W; Poole, Erika S; Li, Victor; Eikey, Elizabeth

2014-01-01

Background There is increasing interest in the use of online forums as a component of eHealth weight loss interventions. Although the research is mixed on the utility of online forums in general, results suggest that there is promise to this, particularly if the systems can be designed well to support healthful interactions that foster weight loss and continued engagement. Objective The purpose of this study was to examine the relationship between the styles of utterances individuals make on an online weight loss forum and week-to-week fluctuations in weight. This analysis was conducted to generate hypotheses on possible strategies that could be used to improve the overall design of online support groups to facilitate more healthful interactions. Methods A convenience sample of individuals using an online weight loss forum (N=4132) included data both on online forum use and weight check-in data. All interactions were coded utilizing the Linguistic Inquiry and Word Count (LIWC) system. Mixed model analyses were conducted to examine the relationship between these LIWC variables and weight over time. Results Results suggested that increased use of past-tense verbs (P=.05) and motion (P=.02) were associated with lower weekly weights whereas increased use of conjunctions (eg, and, but, whereas; P=.001) and exclusion words (eg, but, without, exclude; P=.07) were both associated with higher weight during the weeks when these utterances were used more. Conclusions These results provide some insights on the styles of interactions that appear to be associated with weight fluctuations. Future work should explore the stability of these findings and also explore possibilities for fostering these types of interactions more explicitly within online weight loss forums. PMID:25513997

Artefactual serum hyperkalaemia and hypercalcaemia in essential thrombocythaemia

PubMed Central

Howard, M; Ashwell, S; Bond, L; Holbrook, I

2000-01-01

Aim—To investigate possible abnormalities of serum potassium and calcium levels in patients with essential thrombocythaemia and significant thrombocytosis. Methods—24 cases of essential thrombocythaemia with significant thrombocytosis (platelet count > 700 x 109/litre) had serum potassium and calcium estimations performed at the time of maximum thrombocytosis before treatment, and at the time of low platelet count after treatment with cytoreductive drugs. Selected patients were further investigated with plasma sampling and estimation of ionised calcium and parathyroid hormone. Results—At the time of maximum thrombocytosis six patients had serum hyperkalaemia (> 5.5 mmol/litre) and five had serum hypercalcaemia (> 2.6 mmol/litre). Following treatment and reduction of the platelet count, hyperkalaemia resolved in all cases and hypercalcaemia in four of the five cases. Mean serum potassium and calcium concentrations were raised (p < 0.0001) at maximum thrombocytosis compared with the values when the platelet count was low. Serum potassium and calcium values were significantly correlated at all stages. Measurements on plasma consistently corrected the hyperkalaemia but not the hypercalcaemia. Serum hypercalcaemia was associated with raised ionised calcium and normal parathyroid hormone concentrations. Conclusions—Essential thrombocythaemia with significant thrombocytosis is associated with serum hyperkalaemia and hypercalcaemia. The probable mechanism of hypercalcaemia is the secretion of calcium in vitro from an excessive number of abnormally activated platelets. It is thus likely that the hypercalcaemia is an artefact, as is the hyperkalaemia. Key Words: thrombocythaemia • hypercalcaemia • hyperkalaemia PMID:10767824

Dissociation of lexical syntax and semantics: evidence from focal cortical degeneration.

PubMed

Garrard, P; Carroll, E; Vinson, D; Vigliocco, G

2004-10-01

The question of whether information relevant to meaning (semantics) and structure (syntax) relies on a common language processor or on separate subsystems has proved difficult to address definitively because of the confounds involved in comparing the two types of information. At the sentence level syntactic and semantic judgments make different cognitive demands, while at the single word level, the most commonly used syntactic distinction (between nouns and verbs) is confounded with a fundamental semantic difference (between objects and actions). The present study employs a different syntactic contrast (between count nouns and mass nouns), which is crossed with a semantic difference (between naturally occurring and man-made substances) applying to words within a circumscribed semantic field (foodstuffs). We show, first, that grammaticality judgments of a patient with semantic dementia are indistinguishable from those of a group of age-matched controls, and are similar regardless of the status of his semantic knowledge about the item. In a second experiment we use the triadic task in a group of age-matched controls to show that similarity judgments are influenced not only by meaning (natural vs. manmade), but also implicitly by syntactic information (count vs. mass). Using the same task in a patient with semantic dementia we show that the semantic influences on the syntactic dimension are unlikely to account for this pattern in normals. These data are discussed in relation to modular vs. nonmodular models of language processing, and in particular to the semantic-syntactic distinction.

Neurocognitive performance enhanced by highly active antiretroviral therapy in HIV-infected women.

PubMed

Cohen, R A; Boland, R; Paul, R; Tashima, K T; Schoenbaum, E E; Celentano, D D; Schuman, P; Smith, D K; Carpenter, C C

2001-02-16

To determine whether highly active retroviral therapy (HAART) is associated with better neurocognitive outcome over time among HIV-infected women with severely impaired immune function. A semiannual neurocognitive examination on four tasks was administered: Color Trail Making, Controlled Oral Word Association, Grooved Pegboard and Four-Word Learning. This protocol was initiated in the HIV Epidemiological Research study (HERS) study when a woman's CD4 cell count fell to < 100 x 10(6) cells/l. Immune function (CD4), viral load status and depression severity (CESD) were also assessed semi-annually, along with an interview to determine medication intake and illicit drug use. HAART was not available to any participant at the time of enrollment (baseline), while 44% reported taking HAART at their most recent visit (mean duration of HAART 36.3 +/- 12.6 months). HAART-treated women had improved neurocognitive performance compared with those not treated with HAART. Women taking HAART for 18 months or more showed the strongest neurocognitive performance with improved verbal fluency, psychomotor and executive functions. These functions worsened among women not taking HAART. Substance abuse status, severity of depressive symptoms, age and educational level did not influence the HAART treatment effects on neurocognitive performance. Neurocognitive improvements were strongly associated with the magnitude of CD4 cell count increases. HAART appeared to produce beneficial effect on neurocognitive functioning in HIV-infected women with severely impaired immune systems. Benefits were greatest for women who reported receiving HAART for more than 18 months.

A Corpus-Based Lexical Study on Frequency and Distribution of Coxhead's Awl Word Families in Medical Research Articles (RAs)

ERIC Educational Resources Information Center

Chen, Qi; Guang-Chun, Ge

2007-01-01

We conducted a lexical study on the word frequency and the text coverage of the 570 word families from Coxhead's Academic Word List (AWL) in medical research articles (RAs) based on a corpus of 50 medical RAs written in English with 190425 running words. By computer analysis, we found that the text coverage of the AWL words accounted for around…

Word Maturity: A New Metric for Word Knowledge

ERIC Educational Resources Information Center

Landauer, Thomas K.; Kireyev, Kirill; Panaccione, Charles

2011-01-01

A new metric, Word Maturity, estimates the development by individual students of knowledge of every word in a large corpus. The metric is constructed by Latent Semantic Analysis modeling of word knowledge as a function of the reading that a simulated learner has done and is calibrated by its developing closeness in information content to that of a…

Counting-backward test for executive function in idiopathic normal pressure hydrocephalus.

PubMed

Kanno, S; Saito, M; Hayashi, A; Uchiyama, M; Hiraoka, K; Nishio, Y; Hisanaga, K; Mori, E

2012-10-01

The aim of this study was to develop and validate a bedside test for executive function in patients with idiopathic normal pressure hydrocephalus (INPH). Twenty consecutive patients with INPH and 20 patients with Alzheimer's disease (AD) were enrolled in this study. We developed the counting-backward test for evaluating executive function in patients with INPH. Two indices that are considered to be reflective of the attention deficits and response suppression underlying executive dysfunction in INPH were calculated: the first-error score and the reverse-effect index. Performance on both the counting-backward test and standard neuropsychological tests for executive function was assessed in INPH and AD patients. The first-error score, reverse-effect index and the scores from the standard neuropsychological tests for executive function were significantly lower for individuals in the INPH group than in the AD group. The two indices for the counting-backward test in the INPH group were strongly correlated with the total scores for Frontal Assessment Battery and Phonemic Verbal Fluency. The first-error score was also significantly correlated with the error rate of the Stroop colour-word test and the score of the go/no-go test. In addition, we found that the first-error score highly distinguished patients with INPH from those with AD using these tests. The counting-backward test is useful for evaluating executive dysfunction in INPH and for differentiating between INPH and AD patients. In particular, the first-error score may reflect deficits in the response suppression related to executive dysfunction in INPH. © 2012 John Wiley & Sons A/S.

Descriptive analysis and comparison of strategic incremental rehearsal to "Business as Usual" sight-word instruction for an adult nonreader with intellectual disability.

PubMed

Richman, David M; Grubb, Laura; Thompson, Samuel

2018-01-01

Strategic Incremental Rehearsal (SIR) is an effective method for teaching sight-word acquisition, but has neither been evaluated for use in adults with an intellectual disability, nor directly compared to the ongoing instruction in the natural environment. Experimental analysis of sight word acquisition via an alternating treatment design was conducted with a 23-year-old woman with Down syndrome. SIR was compared to the current reading instruction (CRI) in a classroom for young adults with intellectual disabilities. CRI procedures included non-contingent praise, receptive touch prompts ("touch the word bat"), echoic prompts ("say bat"), textual prompts ("read the word"), and pre-determined introduction of new words. SIR procedures included textual prompts on flash cards, contingent praise, corrective feedback, and mastery-based introduction of new words. The results indicated that SIR was associated with more rapid acquisition of sight words than CRI. Directions for future research could include systematic comparisons to other procedures, and evaluations of procedural permutations of SIR.

THE CONTEXTUAL ANALYSIS OF SYMBOLISM IN LANGUAGE.

ERIC Educational Resources Information Center

LAFFAL, JULIUS

A TECHNIQUE OF ANALYSIS OF SYMBOLISM IS PRESENTED, BASED ON THE IDEA THAT WORDS WHICH APPEAR IN CLOSE ASSOCIATION IN THE SPEECH OR WRITING OF AN INDIVIDUAL ARE PSYCHOLOGICALLY CLOSELY RELATED. THE LATENT MEANING, OR SYMBOLISM, OF A WORD IS ELUCIDATED BY SHOWING HOW CLOSE IT IS, CONCEPTUALLY, TO OTHER SELECTED WORDS OR THEMES IN THE INDIVIDUAL'S…

Language and counting: Some recent results

NASA Astrophysics Data System (ADS)

Bell, Garry

1990-02-01

It has long been recognised that the language of mathematics is an important variable in the learning of mathematics, and there has been useful work in isolating and describing the linkage. Steffe and his co-workers at Georgia, for example, (Steffe, von Glasersfeld, Richardson and Cobb, 1983) have suggested that young children may construct verbal countable items to count objects which are hidden from their view. Although there has been a surge of research interest in counting and early childhood mathematics, and in cultural differences in mathematics attainment, there has been little work reported on the linkage between culture as exemplified by language, and initial concepts of numeration. This paper reports on some recent clinical research with kindergarten children of European and Asian background in Australia and America. The research examines the influence that number naming grammar appears to have on young children's understandings of two-digit numbers and place value. It appears that Transparent Standard Number Word Sequences such as Japanese, Chinese and Vietnamese which follow the numerical representation pattern by naming tens and units in order ("two tens three"), may be associated with distinctive place value concepts which may support sophisticated mental algorithms.

Input frequency and lexical variability in phonological development: a survival analysis of word-initial cluster production.

PubMed

Ota, Mitsuhiko; Green, Sam J

2013-06-01

Although it has been often hypothesized that children learn to produce new sound patterns first in frequently heard words, the available evidence in support of this claim is inconclusive. To re-examine this question, we conducted a survival analysis of word-initial consonant clusters produced by three children in the Providence Corpus (0 ; 11-4 ; 0). The analysis took account of several lexical factors in addition to lexical input frequency, including the age of first production, production frequency, neighborhood density and number of phonemes. The results showed that lexical input frequency was a significant predictor of the age at which the accuracy level of cluster production in each word first reached 80%. The magnitude of the frequency effect differed across cluster types. Our findings indicate that some of the between-word variance found in the development of sound production can indeed be attributed to the frequency of words in the child's ambient language.

Frequency Analysis of the Words in the Academic Word List (AWL) and Non-AWL Content Words in Applied Linguistics Research Papers

ERIC Educational Resources Information Center

Vongpumivitch, Viphavee; Huang, Ju-yu; Chang, Yu-Chia

2009-01-01

This study is a corpus-based lexical study that aims to explore the use of words in Coxhead's (2000) Academic Word List (AWL) in journal articles in the field of applied linguistics. A 1.5 million-word corpus called the Applied Linguistics Research Articles Corpus (ALC) was created for this study. The corpus consists of 200 research articles that…

Cluster analysis of the clinical histories of cattle affected with bovine anaemia associated with Theileria orientalis Ikeda type infection.

PubMed

Lawrence, K E; Forsyth, S F; Vaatstra, B L; McFadden, Amj; Pulford, D J; Govindaraju, K; Pomroy, W E

2017-11-01

AIM To determine the most commonly used words in the clinical histories of animals naturally infected with Theileria orientalis Ikeda type; whether these words differed between cases categorised by age, farm type or haematocrit (HCT), and if there was any clustering of the common words in relation to these categories. METHODS Clinical histories were transcribed for 605 cases of bovine anaemia associated with T. orientalis (TABA), that were submitted to laboratories with blood samples which tested positive for T. orientalis Ikeda type infection by PCR analysis, between October 2012 and November 2014. χ 2 tests were used to determine whether the proportion of submissions for each word was similar across the categories of HCT (normal, moderate anaemia or severe anaemia), farm type (dairy or beef) and age (young or old). Correspondence analysis (CA) was carried out on a contingency table of the frequency of the 28 most commonly used history words, cross-tabulated by age categories (young, old or unknown). Agglomerative hierarchical clustering, using Ward's method, was then performed on the coordinates from the correspondence analysis. RESULTS The six most commonly used history words were jaundice (204/605), lethargic (162/605), pale mucous membranes (161/605), cow (151/605), anaemia (147/605), and off milk (115/605). The proportion of cases with some history words differed between categories of age, farm type and HCT. The cluster analysis indicated that the recorded history words were grouped in two main clusters. The first included the words weight loss, tachycardia, pale mucous membranes, anaemia, lethargic and thin, and was associated with adult (p<0.001), severe anaemia (p<0.001) and dairy (p<0.001). The second cluster included the words deaths, ill-thrift, calves, calf and diarrhoea, and was associated with young (p<0.001), normal HCT (p<0.001), beef (p<0.001) and moderate anaemia (p<0.001). CONCLUSIONS AND CLINICAL RELEVANCE Cluster analysis of words recorded in clinical histories submitted with blood samples from cases of TABA indicates that two potentially different disease syndromes were associated with T. orientalis Ikeda type infection. One was consistent with the affected cattle suffering from a severe regenerative extravascular haemolytic anaemia, the second displaying as ill thrift and diarrhoea, particularly in young beef cattle.

Development of an automated asbestos counting software based on fluorescence microscopy.

PubMed

Alexandrov, Maxym; Ichida, Etsuko; Nishimura, Tomoki; Aoki, Kousuke; Ishida, Takenori; Hirota, Ryuichi; Ikeda, Takeshi; Kawasaki, Tetsuo; Kuroda, Akio

2015-01-01

An emerging alternative to the commonly used analytical methods for asbestos analysis is fluorescence microscopy (FM), which relies on highly specific asbestos-binding probes to distinguish asbestos from interfering non-asbestos fibers. However, all types of microscopic asbestos analysis require laborious examination of large number of fields of view and are prone to subjective errors and large variability between asbestos counts by different analysts and laboratories. A possible solution to these problems is automated counting of asbestos fibers by image analysis software, which would lower the cost and increase the reliability of asbestos testing. This study seeks to develop a fiber recognition and counting software for FM-based asbestos analysis. We discuss the main features of the developed software and the results of its testing. Software testing showed good correlation between automated and manual counts for the samples with medium and high fiber concentrations. At low fiber concentrations, the automated counts were less accurate, leading us to implement correction mode for automated counts. While the full automation of asbestos analysis would require further improvements in accuracy of fiber identification, the developed software could already assist professional asbestos analysts and record detailed fiber dimensions for the use in epidemiological research.

Defining and measuring cyberbullying within the larger context of bullying victimization.

PubMed

Ybarra, Michele L; Boyd, Danah; Korchmaros, Josephine D; Oppenheim, Jay Koby

2012-07-01

To inform the scientific debate about bullying, including cyberbullying, measurement. Two split-form surveys were conducted online among 6-17-year-olds (n = 1,200 each) to inform recommendations for cyberbullying measurement. Measures that use the word "bully" result in prevalence rates similar to each other, irrespective of whether a definition is included, whereas measures not using the word "bully" are similar to each other, irrespective of whether a definition is included. A behavioral list of bullying experiences without either a definition or the word "bully" results in higher prevalence rates and likely measures experiences that are beyond the definition of "bullying." Follow-up questions querying differential power, repetition, and bullying over time were used to examine misclassification. The measure using a definition but not the word "bully" appeared to have the highest rate of false positives and, therefore, the highest rate of misclassification. Across two studies, an average of 25% reported being bullied at least monthly in person compared with an average of 10% bullied online, 7% via telephone (cell or landline), and 8% via text messaging. Measures of bullying among English-speaking individuals in the United States should include the word "bully" when possible. The definition may be a useful tool for researchers, but results suggest that it does not necessarily yield a more rigorous measure of bullying victimization. Directly measuring aspects of bullying (i.e., differential power, repetition, over time) reduces misclassification. To prevent double counting across domains, we suggest the following distinctions: mode (e.g., online, in-person), type (e.g., verbal, relational), and environment (e.g., school, home). We conceptualize cyberbullying as bullying communicated through the online mode. Copyright © 2012 Society for Adolescent Health and Medicine. Published by Elsevier Inc. All rights reserved.

Using lexical analysis to identify emotional distress in psychometric schizotypy.

PubMed

Abplanalp, Samuel J; Buck, Benjamin; Gonzenbach, Virgilio; Janela, Carlos; Lysaker, Paul H; Minor, Kyle S

2017-09-01

Through the use of lexical analysis software, researchers have demonstrated a greater frequency of negative affect word use in those with schizophrenia and schizotypy compared to the general population. In addition, those with schizotypy endorse greater emotional distress than healthy controls. In this study, our aim was to expand on previous findings in schizotypy to determine whether negative affect word use could be linked to emotional distress. Schizotypy (n=33) and non-schizotypy groups (n=33) completed an open-ended, semi-structured interview and negative affect word use was analyzed using a validated lexical analysis instrument. Emotional distress was assessed using subjective questionnaires of depression and psychological quality of life (QOL). When groups were compared, those with schizotypy used significantly more negative affect words; endorsed greater depression; and reported lower QOL. Within schizotypy, a trend level association between depression and negative affect word use was observed; QOL and negative affect word use showed a significant inverse association. Our findings offer preliminary evidence of the potential effectiveness of lexical analysis as an objective, behavior-based method for identifying emotional distress throughout the schizophrenia-spectrum. Utilizing lexical analysis in schizotypy offers promise for providing researchers with an assessment capable of objectively detecting emotional distress. Copyright © 2017 Elsevier Ireland Ltd. All rights reserved.

Trends in public perceptions and preferences on energy and environmental policy

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

Farhar, B.C.

1993-02-01

This report presents selected results from a secondary analysis of public opinion surveys, taken at the national and state/local levels, relevant to energy and environmental policy choices. The data base used in the analysis includes about 2000 items from nearly 600 separate surveys conducted between 1979 and 1992. Answers to word-for-word questions were traced over time, permitting trend analysis. Patterns of response were also identified for findings from similarly worded survey items. The analysis identifies changes in public opinion concerning energy during the past 10 to 15 years.

Helping Yourself by Offering Help: Mediators of Expressive Helping in Survivors of Hematopoietic Stem Cell Transplant.

PubMed

Williamson, Timothy J; Stanton, Annette L; Austin, Jane E; Valdimarsdottir, Heiddis B; Wu, Lisa M; Krull, Jennifer L; Rini, Christine M

2017-10-01

A randomized experiment by Rini et al. (Health Psychol. 33(12):1541-1551, 2014) demonstrated that expressive helping, which involves three expressive writing sessions regarding hematopoietic stem cell transplant, followed by one writing session directed toward helping other stem cell transplant recipients, reduced psychological distress and bothersome physical symptoms among stem cell transplant recipients with elevated survivorship problems, relative to a neutral writing control condition. The current study evaluated whether word use reflective of emotional expression, cognitive processing, and change in perspective mediates the effects of expressive helping. The essays of 67 stem cell transplant recipients with high survivorship problems were analyzed with Linguistic Inquiry and Word Count. Multiple mediation modeling was used to test the hypothesized mechanisms of expressive helping on distress and bothersome physical symptoms. Relative to the control condition, expressive helping produced significant reductions in psychological distress and marginal reductions in physical symptom bother in the analyzed subset of participants from the parent study. Results indicated that positive emotion word use significantly mediated effects of expressive helping on reduced distress, but only for participants who used average (compared to above or below average) rates of negative emotion words. Cognitive processing and change in perspective did not significantly mediate benefits of expressive helping. Expressive helping carried its positive effects on distress through participants' higher expression of positive emotions when coupled with moderate rates of negative emotions. Findings highlight the benefit of expressing both positive and negative emotions in stressful situations.

The Effects of Transfer in Teaching Vocabulary to School Children: An Analysis of the Dependencies between Lists of Trained and Non-Trained Words

ERIC Educational Resources Information Center

Frost, Jørgen; Ottem, Ernst; Hagtvet, Bente E.; Snow, Catherine E.

2016-01-01

In the present study, 81 Norwegian students were taught the meaning of words by the Word Generation (WG) method and 51 Norwegian students were taught by an approach inspired by the Thinking Schools (TS) concept. Two sets of words were used: a set of words to be trained and a set of non-trained control words. The two teaching methods yielded no…

Normative Emotional Responses to Behavior Analysis Jargon or How Not to Use Words to Win Friends and Influence People.

PubMed

Critchfield, Thomas S; Doepke, Karla J; Kimberly Epting, L; Becirevic, Amel; Reed, Derek D; Fienup, Daniel M; Kremsreiter, Jamie L; Ecott, Cheryl L

2017-06-01

It has been suggested that non-experts regard the jargon of behavior analysis as abrasive, harsh, and unpleasant. If this is true, excessive reliance on jargon could interfere with the dissemination of effective services. To address this often discussed but rarely studied issue, we consulted a large, public domain list of English words that have been rated by members of the general public for the emotional reactions they evoke. Selected words that behavior analysts use as technical terms were compared to selected words that are commonly used to discuss general science, general clinical work, and behavioral assessment. There was a tendency for behavior analysis terms to register as more unpleasant than other kinds of professional terms and also as more unpleasant than English words generally. We suggest possible reasons for this finding, discuss its relevance to the challenge of deciding how to communicate with consumers who do not yet understand or value behavior analysis, and advocate for systematic research to guide the marketing of behavior analysis.

Word-based Morphology: Some Problems from a Polysynthetic Language.

ERIC Educational Resources Information Center

Axelrod, Melissa

Some of the problems inherent in a word-based hypothesis asserting that the word/stem is taken as the minimal sign not only for syntax but also for morphology are examined in an analysis of a polysynthetic language, Koyukon, an Athabaskan language of Alaska. Data from the Central dialect is considered in the analysis. A brief sketch of the verbal…

A situational analysis of pharmacovigilance plans in the Global Fund Malaria and U.S. President's Malaria Initiative proposals.

PubMed

Stergachis, Andy; Bartlein, Rebecca J K; Dodoo, Alexander; Nwokike, Jude; Kachur, S Patrick

2010-05-30

Pharmacovigilance programmes can monitor and help ensure the safe use of medicines that are critical to the success of global public health programmes. The widespread deployment of artemisinin-based combination therapy (ACT) by national malaria control programmes as part of the overall Global Malaria Action Plan for malaria control to elimination and eradication makes ACT an excellent candidate for pharmacovigilance activities. In 2008, The Roll Back Malaria partnership issued guidelines for inclusion of pharmacovigilance in Global Fund and other related proposals. In light of this recommendation and the rapid scale-up of ACT worldwide, an analysis of Global Fund Round 8 proposals and the President's Malaria Initiative (PMI) 2009 Malaria Operational Plans was conducted to assess if and how pharmacovigilance has been incorporated into countries' national malaria plans and donor budget requests. The Global Fund-Malaria Round 8 proposals for the 26 countries and the PMI Malaria Operational Plans (MOPs) for fiscal year 2009 for the 15 countries that were approved and received funding from either the Global Fund-Malaria Round 8 or PMI were accessed through the programme websites. The analysis consisted of conducting word counts and key word in context analyses of each proposal and plan. Twelve out of 26 (46%) of the Global Fund proposals mentioned that established pharmacovigilance systems were present in their countries. Four of the fifteen PMI MOPs (27%) mentioned that established pharmacovigilance systems were present in their countries. Only seven of the 26 (27%) Global Fund proposals included a request for funding for new or current pharmacovigilance activities. Seven of 15 (47%) MOPs included a request for funding for pharmacovigilance activities. There were relatively few requests for funding for pharmacovigilance activities, demonstrating a lack of emphasis placed on pharmacovigilance systems in recipient countries. The findings stress the need for more active direction to strengthen active surveillance and passive adverse event reporting systems to augment the issuance of guidance documents.

Poor prognostic role of the pretreatment platelet counts in colorectal cancer: A meta-analysis.

PubMed

Rao, Xu-Dong; Zhang, Hua; Xu, Zheng-Shui; Cheng, Hua; Shen, Wei; Wang, Xin-Ping

2018-06-01

Recently, a wide variety of studies have suggested that elevated platelet counts are associated with survival in patients with colorectal cancer. On one hand several studies suggest a negative connection in colorectal cancer patients with pre-operative thrombocytosis, on the other hand other studies contradicts this. However, it remains unknown whether elevated platelet counts are associated with survival in colorectal cancer patients. We therefore conducted this meta-analysis to evaluate the prognostic role of platelet counts in colorectal cancer. PubMed, Embase, and the Cochrane Library databases were searched from their inception to October 15, 2016 to identify relevant studies that have explored the prognostic role of platelet counts in colorectal cancer. Studies that examined the association between platelet counts and prognoses in colorectal cancer and that provided a hazard ratio (HR) and 95% confidence interval (CI) for overall survival (OS) and/or disease-free survival (DFS) were included. This meta-analysis included 9 retrospective cohort studies involving 3413 patients with colorectal cancer. OS was shorter in patients with elevated platelet counts than in patients with normal counts (HR 2.11, 95% CI: 1.68-2.65). For DFS, an elevated platelet count was also a poor predictor (HR 2.51, 95% CI: 1.84-3.43). In this meta-analysis, we suggest that an elevated platelet count is a negative predictor of survival in both primary colorectal cancer and resectable colorectal liver metastases.

Analysis of space telescope data collection system

NASA Technical Reports Server (NTRS)

Ingels, F. M.; Schoggen, W. O.

1982-01-01

An analysis of the expected performance for the Multiple Access (MA) system is provided. The analysis covers the expected bit error rate performance, the effects of synchronization loss, the problem of self-interference, and the problem of phase ambiguity. The problem of false acceptance of a command word due to data inversion is discussed. A mathematical determination of the probability of accepting an erroneous command word due to a data inversion is presented. The problem is examined for three cases: (1) a data inversion only, (2) a data inversion and a random error within the same command word, and a block (up to 256 48-bit words) containing both a data inversion and a random error.

Image-based red cell counting for wild animals blood.

PubMed

Mauricio, Claudio R M; Schneider, Fabio K; Dos Santos, Leonilda Correia

2010-01-01

An image-based red blood cell (RBC) automatic counting system is presented for wild animals blood analysis. Images with 2048×1536-pixel resolution acquired on an optical microscope using Neubauer chambers are used to evaluate RBC counting for three animal species (Leopardus pardalis, Cebus apella and Nasua nasua) and the error found using the proposed method is similar to that obtained for inter observer visual counting method, i.e., around 10%. Smaller errors (e.g., 3%) can be obtained in regions with less grid artifacts. These promising results allow the use of the proposed method either as a complete automatic counting tool in laboratories for wild animal's blood analysis or as a first counting stage in a semi-automatic counting tool.

Chemomechanical preparation by hand instrumentation and by Mtwo engine-driven rotary files, an ex vivo study.

PubMed

Krajczár, Károly; Tigyi, Zoltán; Papp, Viktória; Marada, Gyula; Sára, Jeges; Tóth, Vilmos

2012-07-01

To compare the disinfecting efficacy of the sodium hypochlorite irrigation by root canal preparation with stainless steel hand files, taper 0.02 and nickel-titanium Mtwo files with taper 0.04-0.06. 40 extracted human teeth were sterilized, and then inoculated with Enterococcus faecalis (ATCC 29212). After 6 day incubation time the root canals were prepared by hand with K-files (n=20) and by engine-driven Mtwo files (VDW, Munich, Germany) (n=20). Irrigation was carried out with 2.5% NaOCl in both cases. Samples were taken and determined in colony forming units (CFU) from the root canals before and after the preparation with instruments #25 and #35. Significant reduction in bacterial count was determined after filing at both groups. The number of bacteria kept on decreasing with the extension of apical preparation diameter. There was no significant difference between the preparation sizes in the bacterial counts after hand or engine-driven instrumentation at the same apical size. Statistical analysis was carried out with Mann-Whitney test, paired t-test and independent sample t-test. Significant reduction in CFU was achieved after the root canal preparation completed with 2.5% NaOCl irrigation, both with stainless steel hand or nickel-titanium rotary files. The root canal remained slightly infected after chemo mechanical preparation in both groups. Key words:Chemomechanical preparation, root canal disinfection, nickel-titanium, conicity, greater taper, apical size.

Chemomechanical preparation by hand instrumentation and by Mtwo engine-driven rotary files, an ex vivo study

PubMed Central

Krajczár, Károly; Tigyi, Zoltán; Papp, Viktória; Sára, Jeges; Tóth, Vilmos

2012-01-01

Objective: To compare the disinfecting efficacy of the sodium hypochlorite irrigation by root canal preparation with stainless steel hand files, taper 0.02 and nickel-titanium Mtwo files with taper 0.04-0.06. Study Design: 40 extracted human teeth were sterilized, and then inoculated with Enterococcus faecalis (ATCC 29212). After 6 day incubation time the root canals were prepared by hand with K-files (n=20) and by engine-driven Mtwo files (VDW, Munich, Germany) (n=20). Irrigation was carried out with 2.5% NaOCl in both cases. Samples were taken and determined in colony forming units (CFU) from the root canals before and after the preparation with instruments #25 and #35. Results: Significant reduction in bacterial count was determined after filing at both groups. The number of bacteria kept on decreasing with the extension of apical preparation diameter. There was no significant difference between the preparation sizes in the bacterial counts after hand or engine-driven instrumentation at the same apical size. Statistical analysis was carried out with Mann-Whitney test, paired t-test and independent sample t-test. Conclusions: Significant reduction in CFU was achieved after the root canal preparation completed with 2.5% NaOCl irrigation, both with stainless steel hand or nickel-titanium rotary files. The root canal remained slightly infected after chemo mechanical preparation in both groups. Key words:Chemomechanical preparation, root canal disinfection, nickel-titanium, conicity, greater taper, apical size. PMID:24558545

Selectivity of N170 for visual words in the right hemisphere: Evidence from single-trial analysis.

PubMed

Yang, Hang; Zhao, Jing; Gaspar, Carl M; Chen, Wei; Tan, Yufei; Weng, Xuchu

2017-08-01

Neuroimaging and neuropsychological studies have identified the involvement of the right posterior region in the processing of visual words. Interestingly, in contrast, ERP studies of the N170 typically demonstrate selectivity for words more strikingly over the left hemisphere. Why is right hemisphere selectivity for words during the N170 epoch typically not observed, despite the clear involvement of this region in word processing? One possibility is that amplitude differences measured on averaged ERPs in previous studies may have been obscured by variation in peak latency across trials. This study examined this possibility by using single-trial analysis. Results show that words evoked greater single-trial N170s than control stimuli in the right hemisphere. Additionally, we observed larger trial-to-trial variability on N170 peak latency for words as compared to control stimuli over the right hemisphere. Results demonstrate that, in contrast to much of the prior literature, the N170 can be selective to words over the right hemisphere. This discrepancy is explained in terms of variability in trial-to-trial peak latency for responses to words over the right hemisphere. © 2017 Society for Psychophysiological Research.

Evidence for Early Morphological Decomposition in Visual Word Recognition

ERIC Educational Resources Information Center

Solomyak, Olla; Marantz, Alec

2010-01-01

We employ a single-trial correlational MEG analysis technique to investigate early processing in the visual recognition of morphologically complex words. Three classes of affixed words were presented in a lexical decision task: free stems (e.g., taxable), bound roots (e.g., tolerable), and unique root words (e.g., vulnerable, the root of which…

On the unsupervised analysis of domain-specific Chinese texts

PubMed Central

Deng, Ke; Bol, Peter K.; Li, Kate J.; Liu, Jun S.

2016-01-01

With the growing availability of digitized text data both publicly and privately, there is a great need for effective computational tools to automatically extract information from texts. Because the Chinese language differs most significantly from alphabet-based languages in not specifying word boundaries, most existing Chinese text-mining methods require a prespecified vocabulary and/or a large relevant training corpus, which may not be available in some applications. We introduce an unsupervised method, top-down word discovery and segmentation (TopWORDS), for simultaneously discovering and segmenting words and phrases from large volumes of unstructured Chinese texts, and propose ways to order discovered words and conduct higher-level context analyses. TopWORDS is particularly useful for mining online and domain-specific texts where the underlying vocabulary is unknown or the texts of interest differ significantly from available training corpora. When outputs from TopWORDS are fed into context analysis tools such as topic modeling, word embedding, and association pattern finding, the results are as good as or better than that from using outputs of a supervised segmentation method. PMID:27185919

Multimodal therapy of word retrieval disorder due to phonological encoding dysfunction.

PubMed

Weill-Chounlamountry, Agnès; Capelle, Nathalie; Tessier, Catherine; Pradat-Diehl, Pascale

2013-01-01

To determine whether phonological multimodal therapy can improve naming and communication in a patient showing a lexical phonological naming disorder. This study employed oral and written learning tasks, using an error reduction procedure. A single-case design computer-assisted treatment was used with a 52 year-old woman with fluent aphasia consecutive to a cerebral infarction. The cognitive analysis of her word retrieval disorder exhibited a phonological encoding dysfunction. Thus, a phonological procedure was designed addressing the output phonological lexicon using computer analysis of spoken and written words. The effects were tested for trained words, generalization to untrained words, maintenance and specificity. Transfer of improvement to daily life was also assessed. After therapy, the verbal naming of both trained and untrained words was improved at p < 0.001. The improvement was still maintained after 3 months without therapy. This treatment was specific since the word dictation task did not change. Communication in daily life was improved at p < 0.05. This study of a patient with word retrieval disorder due to phonological encoding dysfunction demonstrated the effectiveness of a phonological and multimodal therapeutic treatment.

Input Frequency and Lexical Variability in Phonological Development: A Survival Analysis of Word-Initial Cluster Production

ERIC Educational Resources Information Center

Ota, Mitsuhiko; Green, Sam J.

2013-01-01

Although it has been often hypothesized that children learn to produce new sound patterns first in frequently heard words, the available evidence in support of this claim is inconclusive. To re-examine this question, we conducted a survival analysis of word-initial consonant clusters produced by three children in the Providence Corpus (0 ; 11-4 ;…

Oral Counting Sequences: A Theoretical Discussion and Analysis through the Lens of Representational Redescription

ERIC Educational Resources Information Center

Voutsina, Chronoula

2016-01-01

Empirical research has documented how children's early counting develops into an increasingly abstract process, and initial counting procedures are reified as children develop and use more sophisticated counting. In this development, the learning of different oral counting sequences that allow children to count in steps bigger than one is seen as…

Sexual Self-Schemas in the Real World: Investigating the Ecological Validity of Language-Based Markers of Childhood Sexual Abuse

PubMed Central

Stanton, Amelia M.; Meston, Cindy M.

2017-01-01

Abstract This is the first study to examine language use and sexual self-schemas in natural language data extracted from posts to a large online forum. Recently, two studies applied advanced text analysis techniques to examine differences in language use and sexual self-schemas between women with and without a history of childhood sexual abuse. The aim of the current study was to test the ecological validity of the differences in language use and sexual self-schema themes that emerged between these two groups of women in the laboratory. Archival natural language data were extracted from a social media website and analyzed using LIWC2015, a computerized text analysis program, and other word counting approaches. The differences in both language use and sexual self-schema themes that manifested in recent laboratory research were replicated and validated in the large online sample. To our knowledge, these results provide the first empirical examination of sexual cognitions as they occur in the real world. These results also suggest that natural language analysis of text extracted from social media sites may be a potentially viable precursor or alternative to laboratory measurement of sexual trauma phenomena, as well as clinical phenomena, more generally. PMID:28570129

Forecasting models for sugi (Cryptomeria japonica D. Don) pollen count showing an alternate dispersal rhythm.

PubMed

Ito, Yukiko; Hattori, Reiko; Mase, Hiroki; Watanabe, Masako; Shiotani, Itaru

2008-12-01

Pollen information is indispensable for allergic individuals and clinicians. This study aimed to develop forecasting models for the total annual count of airborne pollen grains based on data monitored over the last 20 years at the Mie Chuo Medical Center, Tsu, Mie, Japan. Airborne pollen grains were collected using a Durham sampler. Total annual pollen count and pollen count from October to December (OD pollen count) of the previous year were transformed to logarithms. Regression analysis of the total pollen count was performed using variables such as the OD pollen count and the maximum temperature for mid-July of the previous year. Time series analysis revealed an alternate rhythm of the series of total pollen count. The alternate rhythm consisted of a cyclic alternation of an "on" year (high pollen count) and an "off" year (low pollen count). This rhythm was used as a dummy variable in regression equations. Of the three models involving the OD pollen count, a multiple regression equation that included the alternate rhythm variable and the interaction of this rhythm with OD pollen count showed a high coefficient of determination (0.844). Of the three models involving the maximum temperature for mid-July, those including the alternate rhythm variable and the interaction of this rhythm with maximum temperature had the highest coefficient of determination (0.925). An alternate pollen dispersal rhythm represented by a dummy variable in the multiple regression analysis plays a key role in improving forecasting models for the total annual sugi pollen count.

Using Twitter to access the human right of communication for people who use Augmentative and Alternative Communication (AAC).

PubMed

Hemsley, Bronwyn; Palmer, Stuart; Dann, Stephen; Balandin, Susan

2018-02-01

Articles 19, 26 and 27 of the Universal Declaration of Human Rights and Articles 4, 9 and 21 of the Convention on the Rights of Persons with Disabilities promote the human rights of communication, education, use of technology and access to information. Social media is an important form of online communication, and Twitter increases users' visibility, influence and reach online. The aim of this sociotechnical research was to determine the impact of teaching three people who use Augmentative and Alternative Communication (AAC) to use Twitter. Three participants were trained in ways of using Twitter strategically. Data collected from participants' Twitter profiles were examined to determine the impact of training on Twitter follower count, frequency of tweeting, tweet content and the development of social networks. Data were also examined using (1) KH Coder software analysis and visualisation of co-occurring networks in the text data, based on word frequencies; and (2) Gephi software analysis to show the Twitter network for each participant. Two participants showed an improvement in Twitter skills and strategies. Twitter can be used to improve social connectedness of people who use AAC, and should not be overlooked in relation to communication rights.

OrthoVenn: a web server for genome wide comparison and annotation of orthologous clusters across multiple species.

PubMed

Wang, Yi; Coleman-Derr, Devin; Chen, Guoping; Gu, Yong Q

2015-07-01

Genome wide analysis of orthologous clusters is an important component of comparative genomics studies. Identifying the overlap among orthologous clusters can enable us to elucidate the function and evolution of proteins across multiple species. Here, we report a web platform named OrthoVenn that is useful for genome wide comparisons and visualization of orthologous clusters. OrthoVenn provides coverage of vertebrates, metazoa, protists, fungi, plants and bacteria for the comparison of orthologous clusters and also supports uploading of customized protein sequences from user-defined species. An interactive Venn diagram, summary counts, and functional summaries of the disjunction and intersection of clusters shared between species are displayed as part of the OrthoVenn result. OrthoVenn also includes in-depth views of the clusters using various sequence analysis tools. Furthermore, OrthoVenn identifies orthologous clusters of single copy genes and allows for a customized search of clusters of specific genes through key words or BLAST. OrthoVenn is an efficient and user-friendly web server freely accessible at http://probes.pw.usda.gov/OrthoVenn or http://aegilops.wheat.ucdavis.edu/OrthoVenn. © The Author(s) 2015. Published by Oxford University Press on behalf of Nucleic Acids Research.

Analyzing Language in Suicide Notes and Legacy Tokens.

PubMed

Egnoto, Michael J; Griffin, Darrin J

2016-03-01

Identifying precursors that will aid in the discovery of individuals who may harm themselves or others has long been a focus of scholarly research. This work set out to determine if it is possible to use the legacy tokens of active shooters and notes left from individuals who completed suicide to uncover signals that foreshadow their behavior. A total of 25 suicide notes and 21 legacy tokens were compared with a sample of over 20,000 student writings for a preliminary computer-assisted text analysis to determine what differences can be coded with existing computer software to better identify students who may commit self-harm or harm to others. The results support that text analysis techniques with the Linguistic Inquiry and Word Count (LIWC) tool are effective for identifying suicidal or homicidal writings as distinct from each other and from a variety of student writings in an automated fashion. Findings indicate support for automated identification of writings that were associated with harm to self, harm to others, and various other student writing products. This work begins to uncover the viability or larger scale, low cost methods of automatic detection for individuals suffering from harmful ideation.

[The Freiburg monosyllable word test in postoperative cochlear implant diagnostics].

PubMed

Hey, M; Brademann, G; Ambrosch, P

2016-08-01

The Freiburg monosyllable word test represents a central tool of postoperative cochlear implant (CI) diagnostics. The objective of this study is to test the equivalence of different word lists by analysing word comprehension. For patients whose CI has been implanted for more than 5 years, the distribution of suprathreshold speech intelligibility outcomes will also be analysed. In a retrospective data analysis, speech understanding for 626 CI users word correct scores were evaluated using a total of 5211 lists with 20 words each. The analysis of word comprehension within each list shows differences in mean and in the kind of distribution function. There are lists which show a significant difference of their mean word recognition to the overall mean. The Freiburg monosyllable word test is easy to administer at suprathreshold speech level for CI recipients, and typically has a saturation level above 80 %. The Freiburg monosyllable word test can be performed successfully by the majority of CI patients. The limited balance of the test lists elicits the conclusion that an adaptive test procedure with the Freiburg monosyllable test does not make sense. The Freiburg monosyllable test can be restructured by resorting all words across lists, or by omitting individual words of a test list to increase the reliability of the test. The results show that speech intelligibility in quiet should also be investigated in CI recipients al levels below 70 dB.

Exploratory analysis of textual data from the Mother and Child Handbook using a text mining method (II): Monthly changes in the words recorded by mothers.

PubMed

Tagawa, Miki; Matsuda, Yoshio; Manaka, Tomoko; Kobayashi, Makiko; Ohwada, Michitaka; Matsubara, Shigeki

2017-01-01

The aim of the study was to examine the possibility of converting subjective textual data written in the free column space of the Mother and Child Handbook (MCH) into objective information using text mining and to compare any monthly changes in the words written by the mothers. Pregnant women without complications (n = 60) were divided into two groups according to State-Trait Anxiety Inventory grade: low trait anxiety (group I, n = 39) and high trait anxiety (group II, n = 21). Exploratory analysis of the textual data from the MCH was conducted by text mining using the Word Miner software program. Using 1203 structural elements extracted after processing, a comparison of monthly changes in the words used in the mothers' comments was made between the two groups. The data was mainly analyzed by a correspondence analysis. The structural elements in groups I and II were divided into seven and six clusters, respectively, by cluster analysis. Correspondence analysis revealed clear monthly changes in the words used in the mothers' comments as the pregnancy progressed in group I, whereas the association was not clear in group II. The text mining method was useful for exploratory analysis of the textual data obtained from pregnant women, and the monthly change in the words used in the mothers' comments as pregnancy progressed differed according to their degree of unease. © 2016 Japan Society of Obstetrics and Gynecology.

Systematic review and meta-analysis of the efficacy and safety of Biqi capsule in rheumatoid arthritis patients.

PubMed

Chen, Xiu-Min; Wu, Jia-Qi; Huang, Qing-Chun; Zhang, Jian-Yong; Pen, Jian-Hong; Huang, Zhi-Sheng; Chu, Yong-Liang; He, Xiao-Hong; Wang, Mao-Jie; Huang, Run-Yue

2018-06-01

Biqi capsule is a Traditional Chinese Medicine preparation for treating rheumatoid arthritis (RA), and clinical studies have indicatedthat its effect may be more beneficial than that of Western medicine. The present study aimed to estimate the efficacy and safety of Biqi capsule alone or combined with methotrexate (MTX) compared with MTX alone for treating RA by performing a meta-analysis of randomized controlled trials and controlled clinical trials. A systematic literature search of studies published until March 2017 was performed. References from relevant studies were screened to obtain additional articles. The results were independently evaluated for relevance, and full-text studies were assessed for eligibility. The risk of bias was assessed using the Cochrane collaboration tool for assessing risk of bias. Out of 558 citations that were initially retrieved, a total of 5 studies comprising 522 patients met the inclusion criteria. The risk of bias of these trials was generally unclear or high. Meta-analysis indicated that Biqi capsule had better effects on C-reactive protein [standardized mean difference (SMD), -7.05; 95% CI -(10.77-3.33)] and tender joint count [SMD, -3.02; 95% CI, -(3.81-2.22)] and fewer adverse effects (AEs) than MTX [relative risk (RR), 0.19; 95% CI, 0.08-0.43]. Biqi capsule plus MTX was superior to MTX in terms of the total effect (RR, 1.17; 95% CI, 1.06-1.28), rheumatoid factor [SMD, -12.54; 95% CI, -(16.87-8.20)], swollen joint count [SMD, -1.50; 95% CI, -(1.99-1.01)], score of joint swelling [SMD -2.07; 95% CI, -(2.76-1.38)], tender joint count [SMD, -2.16; 95% CI, -(2.86-1.47)] and score of joint tenderness [SMD, -4.69; 95% CI, -(5.92-3.47)]. There was no difference in AEs between Biqi capsule plus MTX and MTX (RR, 0.71; 95% CI, 0.34-1.50). In conclusion, the present study indicated that compared with MTX, Biqi capsule plus MTX appeared to have more benefits but that Biqi capsule alone was not better for RA patients than MTX. In the other words, Biqi capsule plus MTX is more effective and has fewer AEs compared to MTX. However, the trials selected in the present meta-analysis have various limitations, including the lack of blinding and the short duration of the treatment; therefore, the conclusions are not sufficiently definitive. More randomized controlled trials are necessary to evaluate the use of Biqi capsule for managing RA.

Exploring linguistic correlates of social anxiety in romantic stories.

PubMed

Fernandez, Katya C; Gordon, Elizabeth A; Rodebaugh, Thomas L; Heimberg, Richard G

2016-09-01

The current study used computerized linguistic analysis of stories about either going on a date or taking a walk down a street to examine linguistic correlates of social anxiety in a sample of undergraduate students. In general, linguistic analysis revealed associations of social anxiety with several linguistic variables, including negative emotion, affect, and anxiety words. Participants higher in social anxiety wrote fewer affect words. The relationship between social anxiety and anxiety words depended on gender, whereas the relationship between social anxiety and negative emotion words depended on both gender and the nature of primes (supraliminal vs. subliminal) received. Overall, our findings highlight the potential utility and benefits of using linguistic analysis as another source of information about how individuals higher in social anxiety process romantic stimuli.

A new stratification of mourning dove call-count routes

USGS Publications Warehouse

Blankenship, L.H.; Humphrey, A.B.; MacDonald, D.

1971-01-01

The mourning dove (Zenaidura macroura) call-count survey is a nationwide audio-census of breeding mourning doves. Recent analyses of the call-count routes have utilized a stratification based upon physiographic regions of the United States. An analysis of 5 years of call-count data, based upon stratification using potential natural vegetation, has demonstrated that this uew stratification results in strata with greater homogeneity than the physiographic strata, provides lower error variance, and hence generates greatet precision in the analysis without an increase in call-count routes. Error variance was reduced approximately 30 percent for the contiguous United States. This indicates that future analysis based upon the new stratification will result in an increased ability to detect significant year-to-year changes.

Limitations of the dual-process-theory regarding the writing of words and non-words to dictation.

PubMed

Tucha, Oliver; Trumpp, Christian; Lange, Klaus W

2004-12-01

It is generally assumed that the lexical and phonological systems are involved in writing to dictation. In an experiment concerned with the writing of words and non-words to dictation, the handwriting of female students was registered using a digitising tablet. The data contradict the assumption that the phonological system represents an alexical process. Both words and non-words which were acoustically presented to the subjects were lexically parsed. The analysis of kinematic data revealed significant differences between the subjects' writing of words and non-words. The findings reveal gross disturbances of handwriting fluency during the writing of non-words. The findings of the experiment cannot be explained by the dual-process-theory.

New ways to analyze word generation performance in brain injury: A systematic review and meta-analysis of additional performance measures.

PubMed

Thiele, Kristina; Quinting, Jana Marie; Stenneken, Prisca

2016-09-01

The investigation of word generation performance is an accepted, widely used, and well-established method for examining cognitive, language, or communication impairment due to brain damage. The performance measure traditionally applied in the investigation of word generation is the number of correct responses. Previous studies, however, have suggested that this measure does not capture all potentially relevant aspects of word generation performance and hence its underlying processes, so that its analytical and explanatory power of word generation performance might be rather limited. Therefore, additional qualitative or quantitative performance measures have been introduced to gain information that goes beyond the deficit and allows for therapeutic implications. We undertook a systematic review and meta-analysis of original research that focused on the application of additional measures of word generation performance in adult clinical populations with acquired brain injury. Word generation tasks are an integral part of many different tests, but only few use additional performance measures in addition to the number of correct responses in the analysis of word generation performance. Additional measures, which showed increased or similar diagnostic utility relative to the traditional performance measure, regarded clustering and switching, error types, and temporal characteristics. The potential of additional performance measures is not yet fully exhausted in patients with brain injury. The temporal measure of response latencies in particular is not adequately represented, though it may be a reliable measure especially for identifying subtle impairments. Unfortunately, there is no general consensus as of yet on which additional measures are best suited to characterizing word generation performance. Further research is needed to specify the additional parameters that are best qualified for identifying and characterizing impaired word generation performance.

Identifying Effective Spelling Interventions Using a Brief Experimental Analysis and Extended Analysis

ERIC Educational Resources Information Center

McCurdy, Merilee; Clure, Lynne F.; Bleck, Amanda A.; Schmitz, Stephanie L.

2016-01-01

Spelling is an important skill that is crucial to effective written communication. In this study, brief experimental analysis procedures were used to examine spelling instruction strategies (e.g., whole word correction; word study strategy; positive practice; and cover, copy, and compare) for four students. In addition, an extended analysis was…

An Analysis of the Most Frequently Occurring Words in Spoken American English.

ERIC Educational Resources Information Center

Plant, Geoff

1999-01-01

A study analyzed frequency of occurrence of consonants, vowels, and diphthongs, syllabic structure of the words, and segmental structure of the 311 monosyllabic words of 500 words that occur most frequently in English. Three mannerisms of articulation accounted for nearly 75 percent of all consonant occurrences: stops, semi-vowels, and nasals.…

Word Recognition Error Analysis: Comparing Isolated Word List and Oral Passage Reading

ERIC Educational Resources Information Center

Flynn, Lindsay J.; Hosp, John L.; Hosp, Michelle K.; Robbins, Kelly P.

2011-01-01

The purpose of this study was to determine the relation between word recognition errors made at a letter-sound pattern level on a word list and on a curriculum-based measurement oral reading fluency measure (CBM-ORF) for typical and struggling elementary readers. The participants were second, third, and fourth grade typical and struggling readers…

Feature Biases in Early Word Learning: Network Distinctiveness Predicts Age of Acquisition

ERIC Educational Resources Information Center

Engelthaler, Tomas; Hills, Thomas T.

2017-01-01

Do properties of a word's features influence the order of its acquisition in early word learning? Combining the principles of mutual exclusivity and shape bias, the present work takes a network analysis approach to understanding how feature distinctiveness predicts the order of early word learning. Distance networks were built from nouns with edge…

A Comparative Analysis of Vocabulary Load of Three Provincially Adopted Primary Arithmetic Series.

ERIC Educational Resources Information Center

Horodezky, Betty; Weinstein, Pauline Smith

1981-01-01

Results indicated considerable difference in total number of running words among series; an increase in different words for grades two-three in each series; repetition of most words in each series between one and nine times; and no high degree of word overlap between series or grades in any given series. (Author/CM)

An Analysis of Mongolian Culture-Loaded Words and Their Translation Strategies

ERIC Educational Resources Information Center

Wang, Jian-Jun; He, Long

2014-01-01

With massive cultural exchanges in the world, the translation of culture-loaded words is drawing the attention of translators. Because of different cultural backgrounds and mentalities, the translation of culture-loaded words may lead to misunderstanding or confusion to target readers. Thus, a good mastery of culture-loaded words is a must for…

The development and validation of an instrument to measure the quality of health research reports in the lay media.

PubMed

Zeraatkar, Dena; Obeda, Michael; Ginsberg, Jeffrey S; Hirsh, Jack

2017-04-20

The media serves as an important link between medical research, as reported in scholarly sources, and the public and has the potential to act as a powerful tool to improve public health. However, concerns about the reliability of health research reports have been raised. Tools to monitor the quality of health research reporting in the media are needed to identify areas of weakness in health research reporting and to subsequently work towards the efficient use of the lay media as a public health tool through which the public's health behaviors can be improved. We developed the Quality Index for health-related Media Reports (QIMR) as a tool to monitor the quality of health research reports in the lay media. The tool was developed according to themes generated from interviews with health journalists and researchers. Item and domain characteristics and scale reliability were assessed. The scale was correlated with a global quality assessment score and media report word count to provide evidence towards its construct validity. The items and domains of the QIMR demonstrated acceptable validity and reliability. Items from the 'validity' domain were negatively skewed, suggesting possible floor effect. These items were not eliminated due to acceptable content and face validity. QIMR total scores produced a strong correlation with raters' global assessment and a moderate correlation with media report word count, providing evidence towards the construct validity of the instrument. The results of this investigation indicate that QIMR can adequately measure the quality of health research reports, with acceptable reliability and validity.

Systematic Assessment Reveals Lack of Understandability for Prostate Biopsy Online Patient Education Materials.

PubMed

Maciolek, Kimberly A; Jarrard, David F; Abel, E Jason; Best, Sara L

2017-11-01

To evaluate the accuracy, readability, understandability, and actionability of Internet patient education materials (PEM) about transrectal ultrasound-guided prostate biopsy. A comprehensive Internet search was performed to find PEM with pre- or postbiopsy instructions. PEM that were duplicates, government affiliated, international, or video based were excluded. Biopsy instructions were evaluated for accuracy and presence of essential topics. Readability was assessed via word count and Flesch-Kincaid Grade Level. Understandability and actionability were measured using the Patient Education Materials Assessment Tool (PEMAT). Effects of authorship and geographical variation were determined using Fischer exact and Kruskal-Wallis tests. We identified 148 unique PEM. Only 31 (21%) sites adhered to the recommended <8th grade reading level. Most PEM did not contain recommended graphics (14%), checklists (2%), or summaries (6%). The PEMAT understandability score for academic PEM was higher than private (P = .02) and unaffiliated PEM (P = .01). No websites had inaccurate content. Only 2 PEM sites (1%) included all essential content (stop anticoagulants, antibiotics, need for urinalysis, biopsy pain, when to resume activity, and bleeding complications). Few significant differences based on geographic region were observed for word count, readability, PEMAT scores, or content. Transrectal ultrasound-guided prostate biopsy PEM adhere poorly to guidelines for easy-to-understand materials. Most PEM lack vital information and are written at a reading level that is too complex for patient comprehension. The urology community can construct better websites by consulting PEM advisory materials and providing nontechnical language, figures, and specific instructions. Published by Elsevier Inc.

Mesyatsy "knizhnye" i "nebesnye": ikh sootnoshenie na stranitsakh letopisej %t "Literary" and "heavenly" months: their correlations in Russian chronicles

NASA Astrophysics Data System (ADS)

Zhuravel', A. V.

The overwhelming majority of Old-Russian dates are Julian, and this fact seems to prove that the Julian calendar gained a foothold after the baptism of Rus'. However, there are also about 10 lunar datings (mainly from the XV c.) in Russian chronicles. This fact corresponds to the words of Kirik (the Novgorod mathematician of the XII c.) who distinguished "heavenly" months from "literary" ones. The research shows that Kirik's words are true for the entire Medieval period of Russian history: the Julian calendar was really the "literary" one and people continued to count days by the Moon in their day-to-day life. Thus, lunar dating came up in Russian chronicles again and again. That is why attempts of recalculation into the Julian manner generated many mistakes (variant readings). If we take into account these "traces", we can reconstruct the initial lunar dating and determine more precisely the course of historical events.

Global emergency medicine journal club: social media responses to the January 2014 online emergency medicine journal club on subarachnoid hemorrhage.

PubMed

Chan, Teresa M; Rosenberg, Hans; Lin, Michelle

2014-07-01

From January 20 to 24, 2014, Annals continued a successful collaboration with an academic Web site, Academic Life in Emergency Medicine (ALiEM), to host another Global Emergency Medicine Journal Club session featuring the 2013 Journal of the American Medical Association article "Clinical Decision Rules to Rule Out Subarachnoid Hemorrhage for Acute Headache" by Perry et al. This online journal club used the power of rapid Twitter conversations, a live videocast with the authors, and more detailed discussions hosted on the ALiEM Web site's comment section. There were more than 1,431 individuals from 501 cities in 59 countries who viewed the blog post. During this 5-day event, 28 comments (average word count 153 words) and 206 tweets were made. This summary article details the community discussion, shared insights, and analytic data generated during this novel, multiplatform approach. Copyright © 2014 American College of Emergency Physicians. Published by Mosby, Inc. All rights reserved.

On the importance of controlling for effort in analysis of count survey data: Modeling population change from Christmas Bird Count data

USGS Publications Warehouse

Link, W.A.; Sauer, J.R.; Helbig, Andreas J.; Flade, Martin

1999-01-01

Count survey data are commonly used for estimating temporal and spatial patterns of population change. Since count surveys are not censuses, counts can be influenced by 'nuisance factors' related to the probability of detecting animals but unrelated to the actual population size. The effects of systematic changes in these factors can be confounded with patterns of population change. Thus, valid analysis of count survey data requires the identification of nuisance factors and flexible models for their effects. We illustrate using data from the Christmas Bird Count (CBC), a midwinter survey of bird populations in North America. CBC survey effort has substantially increased in recent years, suggesting that unadjusted counts may overstate population growth (or understate declines). We describe a flexible family of models for the effect of effort, that includes models in which increasing effort leads to diminishing returns in terms of the number of birds counted.

Evidence from neglect dyslexia for morphological decomposition at the early stages of orthographic-visual analysis

PubMed Central

Reznick, Julia; Friedmann, Naama

2015-01-01

This study examined whether and how the morphological structure of written words affects reading in word-based neglect dyslexia (neglexia), and what can be learned about morphological decomposition in reading from the effect of morphology on neglexia. The oral reading of 7 Hebrew-speaking participants with acquired neglexia at the word level—6 with left neglexia and 1 with right neglexia—was evaluated. The main finding was that the morphological role of the letters on the neglected side of the word affected neglect errors: When an affix appeared on the neglected side, it was neglected significantly more often than when the neglected side was part of the root; root letters on the neglected side were never omitted, whereas affixes were. Perceptual effects of length and final letter form were found for words with an affix on the neglected side, but not for words in which a root letter appeared in the neglected side. Semantic and lexical factors did not affect the participants' reading and error pattern, and neglect errors did not preserve the morpho-lexical characteristics of the target words. These findings indicate that an early morphological decomposition of words to their root and affixes occurs before access to the lexicon and to semantics, at the orthographic-visual analysis stage, and that the effects did not result from lexical feedback. The same effects of morphological structure on reading were manifested by the participants with left- and right-sided neglexia. Since neglexia is a deficit at the orthographic-visual analysis level, the effect of morphology on reading patterns in neglexia further supports that morphological decomposition occurs in the orthographic-visual analysis stage, prelexically, and that the search for the three letters of the root in Hebrew is a trigger for attention shift in neglexia. PMID:26528159

Clustering, hierarchical organization, and the topography of abstract and concrete nouns.

PubMed

Troche, Joshua; Crutch, Sebastian; Reilly, Jamie

2014-01-01

The empirical study of language has historically relied heavily upon concrete word stimuli. By definition, concrete words evoke salient perceptual associations that fit well within feature-based, sensorimotor models of word meaning. In contrast, many theorists argue that abstract words are "disembodied" in that their meaning is mediated through language. We investigated word meaning as distributed in multidimensional space using hierarchical cluster analysis. Participants (N = 365) rated target words (n = 400 English nouns) across 12 cognitive dimensions (e.g., polarity, ease of teaching, emotional valence). Factor reduction revealed three latent factors, corresponding roughly to perceptual salience, affective association, and magnitude. We plotted the original 400 words for the three latent factors. Abstract and concrete words showed overlap in their topography but also differentiated themselves in semantic space. This topographic approach to word meaning offers a unique perspective to word concreteness.

Uncertainties in internal gas counting

NASA Astrophysics Data System (ADS)

Unterweger, M.; Johansson, L.; Karam, L.; Rodrigues, M.; Yunoki, A.

2015-06-01

The uncertainties in internal gas counting will be broken down into counting uncertainties and gas handling uncertainties. Counting statistics, spectrum analysis, and electronic uncertainties will be discussed with respect to the actual counting of the activity. The effects of the gas handling and quantities of counting and sample gases on the uncertainty in the determination of the activity will be included when describing the uncertainties arising in the sample preparation.

An analysis of initial acquisition and maintenance of sight words following picture matching and copy cover, and compare teaching methods.

PubMed

Conley, Colleen M; Derby, K Mark; Roberts-Gwinn, Michelle; Weber, Kimberly P; McLaughlin, T E

2004-01-01

This study compared the copy, cover, and compare method to a picture-word matching method for teaching sight word recognition. Participants were 5 kindergarten students with less than preprimer sight word vocabularies who were enrolled in a public school in the Pacific Northwest. A multielement design was used to evaluate the effects of the two interventions. Outcomes suggested that sight words taught using the copy, cover, and compare method resulted in better maintenance of word recognition when compared to the picture-matching intervention. Benefits to students and the practicality of employing the word-level teaching methods are discussed.

Analysis of general power counting rules in effective field theory

DOE PAGES

Gavela, Belen; Jenkins, Elizabeth E.; Manohar, Aneesh V.; ...

2016-09-02

We derive the general counting rules for a quantum effective field theory (EFT) in d dimensions. The rules are valid for strongly and weakly coupled theories, and they predict that all kinetic energy terms are canonically normalized. They determine the energy dependence of scattering cross sections in the range of validity of the EFT expansion. We show that the size of the cross sections is controlled by the Λ power counting of EFT, not by chiral counting, even for chiral perturbation theory (χPT). The relation between Λ and f is generalized to d dimensions. We show that the naive dimensionalmore » analysis 4π counting is related to ℏ counting. The EFT counting rules are applied to χPT, low-energy weak interactions, Standard Model EFT and the non-trivial case of Higgs EFT.« less

It's What's on the Outside that Matters: An Advantage for External Features in Children's Word Recognition

ERIC Educational Resources Information Center

Webb, Tessa M.; Beech, John R.; Mayall, Kate M.; Andrews, Antony S.

2006-01-01

The relative importance of internal and external letter features of words in children's developing reading was investigated to clarify further the nature of early featural analysis. In Experiment 1, 72 6-, 8-, and 10-year-olds read aloud words displayed as wholes, external features only (central features missing, thereby preserving word shape…

Improved Tracking of an Atomic-Clock Resonance Transition

NASA Technical Reports Server (NTRS)

Prestage, John D.; Chung, Sang K.; Tu, Meirong

2010-01-01

An improved method of making an electronic oscillator track the frequency of an atomic-clock resonance transition is based on fitting a theoretical nonlinear curve to measurements at three oscillator frequencies within the operational frequency band of the transition (in other words, at three points within the resonance peak). In the measurement process, the frequency of a microwave oscillator is repeatedly set at various offsets from the nominal resonance frequency, the oscillator signal is applied in a square pulse of the oscillator signal having a suitable duration (typically, of the order of a second), and, for each pulse at each frequency offset, fluorescence photons of the transition in question are counted. As described below, the counts are used to determine a new nominal resonance frequency. Thereafter, offsets are determined with respect to the new resonance frequency. The process as described thus far is repeated so as to repeatedly adjust the oscillator to track the most recent estimate of the nominal resonance frequency.

Syntactic Cues to Individuation in Mandarin Chinese

PubMed Central

Cheung, Pierina; Barner, David; Li, Peggy

2012-01-01

When presented with an entity (e.g., a wooden honey-dipper) labeled with a novel noun, how does a listener know that the noun refers to an instance of an object kind (honey-dipper) rather than to a substance kind (wood)? While English speakers draw upon count-mass syntax for clues to the noun’s meaning, linguists have proposed that classifier languages, which lack count-mass syntax, provide other syntactic cues. Three experiments tested Mandarin-speakers’ sensitivity to the diminutive suffix -zi and the general classifier ge when interpreting novel nouns. Experiment 1 found that -zi occurs more frequently with nouns that denote object kinds. Experiment 2 demonstrated Mandarin-speaking adults’ sensitivity to ge and -zi when inferring novel word meanings. Experiment 3 tested Mandarin three- to six-year-olds’ sensitivity to ge. We discuss differences in the developmental course of these cues relative to cues in English, and the impact of this difference to children’s understanding of individuation. PMID:23193387

Atmospheric mold spore counts in relation to meteorological parameters

NASA Astrophysics Data System (ADS)

Katial, R. K.; Zhang, Yiming; Jones, Richard H.; Dyer, Philip D.

Fungal spore counts of Cladosporium, Alternaria, and Epicoccum were studied during 8 years in Denver, Colorado. Fungal spore counts were obtained daily during the pollinating season by a Rotorod sampler. Weather data were obtained from the National Climatic Data Center. Daily averages of temperature, relative humidity, daily precipitation, barometric pressure, and wind speed were studied. A time series analysis was performed on the data to mathematically model the spore counts in relation to weather parameters. Using SAS PROC ARIMA software, a regression analysis was performed, regressing the spore counts on the weather variables assuming an autoregressive moving average (ARMA) error structure. Cladosporium was found to be positively correlated (P<0.02) with average daily temperature, relative humidity, and negatively correlated with precipitation. Alternaria and Epicoccum did not show increased predictability with weather variables. A mathematical model was derived for Cladosporium spore counts using the annual seasonal cycle and significant weather variables. The model for Alternaria and Epicoccum incorporated the annual seasonal cycle. Fungal spore counts can be modeled by time series analysis and related to meteorological parameters controlling for seasonallity; this modeling can provide estimates of exposure to fungal aeroallergens.

Children with Developmental Language Impairment Have Vocabulary Deficits Characterized by Limited Breadth and Depth

PubMed Central

McGregor, Karla K.; Oleson, Jacob; Bahnsen, Alison; Duff, Dawna

2012-01-01

Background Deficient vocabulary is a frequently reported symptom of developmental language impairment but the nature of the deficit and its developmental course are not well documented. Aims We aimed to describe the nature of the deficit in terms of breadth and depth of vocabulary knowledge and to determine whether the nature and the extent of the deficit change over the school years. Methods A total of 25,681 oral definitions produced by 177 children with developmental language impairment (LI) and 325 grade-mates with normally developing language (ND) in grades 2, 4, 8, and 10 were taken from an existing longitudinal database. We analyzed these for breadth by counting the number of words defined correctly and for depth by determining the amount of information in each correct definition. Via a linear mixed model, we determined whether breadth and depth varied with language diagnosis independent of nonverbal IQ, mothers’ education level, race, gender, income and (for depth only) word. Results Children with LI scored significantly lower than children with ND on breadth and depth of vocabulary knowledge in all grades. The extent of the deficit did not vary significantly across grades. Language diagnosis was an independent predictor of breadth and depth and as strong a predictor as maternal education. For the LI group, growth in depth relative to breadth was slower than for the ND group. Conclusions Compared to their grade-mates, children with LI have fewer words in their vocabularies and they have shallower knowledge of the words that are in their vocabularies. This deficit persists over developmental time. PMID:23650887

Estimation of pairwise sequence similarity of mammalian enhancers with word neighbourhood counts.

PubMed

Göke, Jonathan; Schulz, Marcel H; Lasserre, Julia; Vingron, Martin

2012-03-01

The identity of cells and tissues is to a large degree governed by transcriptional regulation. A major part is accomplished by the combinatorial binding of transcription factors at regulatory sequences, such as enhancers. Even though binding of transcription factors is sequence-specific, estimating the sequence similarity of two functionally similar enhancers is very difficult. However, a similarity measure for regulatory sequences is crucial to detect and understand functional similarities between two enhancers and will facilitate large-scale analyses like clustering, prediction and classification of genome-wide datasets. We present the standardized alignment-free sequence similarity measure N2, a flexible framework that is defined for word neighbourhoods. We explore the usefulness of adding reverse complement words as well as words including mismatches into the neighbourhood. On simulated enhancer sequences as well as functional enhancers in mouse development, N2 is shown to outperform previous alignment-free measures. N2 is flexible, faster than competing methods and less susceptible to single sequence noise and the occurrence of repetitive sequences. Experiments on the mouse enhancers reveal that enhancers active in different tissues can be separated by pairwise comparison using N2. N2 represents an improvement over previous alignment-free similarity measures without compromising speed, which makes it a good candidate for large-scale sequence comparison of regulatory sequences. The software is part of the open-source C++ library SeqAn (www.seqan.de) and a compiled version can be downloaded at http://www.seqan.de/projects/alf.html. Supplementary data are available at Bioinformatics online.

EHME: a new word database for research in Basque language.

PubMed

Acha, Joana; Laka, Itziar; Landa, Josu; Salaburu, Pello

2014-11-14

This article presents EHME, the frequency dictionary of Basque structure, an online program that enables researchers in psycholinguistics to extract word and nonword stimuli, based on a broad range of statistics concerning the properties of Basque words. The database consists of 22.7 million tokens, and properties available include morphological structure frequency and word-similarity measures, apart from classical indexes: word frequency, orthographic structure, orthographic similarity, bigram and biphone frequency, and syllable-based measures. Measures are indexed at the lemma, morpheme and word level. We include reliability and validation analysis. The application is freely available, and enables the user to extract words based on concrete statistical criteria 1 , as well as to obtain statistical characteristics from a list of words

Emotional words facilitate lexical but not early visual processing.

PubMed

Trauer, Sophie M; Kotz, Sonja A; Müller, Matthias M

2015-12-12

Emotional scenes and faces have shown to capture and bind visual resources at early sensory processing stages, i.e. in early visual cortex. However, emotional words have led to mixed results. In the current study ERPs were assessed simultaneously with steady-state visual evoked potentials (SSVEPs) to measure attention effects on early visual activity in emotional word processing. Neutral and negative words were flickered at 12.14 Hz whilst participants performed a Lexical Decision Task. Emotional word content did not modulate the 12.14 Hz SSVEP amplitude, neither did word lexicality. However, emotional words affected the ERP. Negative compared to neutral words as well as words compared to pseudowords lead to enhanced deflections in the P2 time range indicative of lexico-semantic access. The N400 was reduced for negative compared to neutral words and enhanced for pseudowords compared to words indicating facilitated semantic processing of emotional words. LPC amplitudes reflected word lexicality and thus the task-relevant response. In line with previous ERP and imaging evidence, the present results indicate that written emotional words are facilitated in processing only subsequent to visual analysis.

Experiments in automatic word class and word sense identification for information retrieval

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

Gauch, S.; Futrelle, R.P.

Automatic identification of related words and automatic detection of word senses are two long-standing goals of researchers in natural language processing. Word class information and word sense identification may enhance the performance of information retrieval system4ms. Large online corpora and increased computational capabilities make new techniques based on corpus linguisitics feasible. Corpus-based analysis is especially needed for corpora from specialized fields for which no electronic dictionaries or thesauri exist. The methods described here use a combination of mutual information and word context to establish word similarities. Then, unsupervised classification is done using clustering in the word space, identifying word classesmore » without pretagging. We also describe an extension of the method to handle the difficult problems of disambiguation and of determining part-of-speech and semantic information for low-frequency words. The method is powerful enough to produce high-quality results on a small corpus of 200,000 words from abstracts in a field of molecular biology.« less

Automatic generation of stop word lists for information retrieval and analysis

DOEpatents

Rose, Stuart J

2013-01-08

Methods and systems for automatically generating lists of stop words for information retrieval and analysis. Generation of the stop words can include providing a corpus of documents and a plurality of keywords. From the corpus of documents, a term list of all terms is constructed and both a keyword adjacency frequency and a keyword frequency are determined. If a ratio of the keyword adjacency frequency to the keyword frequency for a particular term on the term list is less than a predetermined value, then that term is excluded from the term list. The resulting term list is truncated based on predetermined criteria to form a stop word list.

Iconic hand gestures and the predictability of words in context in spontaneous speech.

PubMed

Beattie, G; Shovelton, H

2000-11-01

This study presents a series of empirical investigations to test a theory of speech production proposed by Butterworth and Hadar (1989; revised in Hadar & Butterworth, 1997) that iconic gestures have a functional role in lexical retrieval in spontaneous speech. Analysis 1 demonstrated that words which were totally unpredictable (as measured by the Shannon guessing technique) were more likely to occur after pauses than after fluent speech, in line with earlier findings. Analysis 2 demonstrated that iconic gestures were associated with words of lower transitional probability than words not associated with gesture, even when grammatical category was controlled. This therefore provided new supporting evidence for Butterworth and Hadar's claims that gestures' lexical affiliates are indeed unpredictable lexical items. However, Analysis 3 found that iconic gestures were not occasioned by lexical accessing difficulties because although gestures tended to occur with words of significantly lower transitional probability, these lower transitional probability words tended to be uttered quite fluently. Overall, therefore, this study provided little evidence for Butterworth and Hadar's theoretical claim that the main function of the iconic hand gestures that accompany spontaneous speech is to assist in the process of lexical access. Instead, such gestures are reconceptualized in terms of communicative function.

A Fuzzy Computing Model for Identifying Polarity of Chinese Sentiment Words

PubMed Central

Huang, Yongfeng; Wu, Xian; Li, Xing

2015-01-01

With the spurt of online user-generated contents on web, sentiment analysis has become a very active research issue in data mining and natural language processing. As the most important indicator of sentiment, sentiment words which convey positive and negative polarity are quite instrumental for sentiment analysis. However, most of the existing methods for identifying polarity of sentiment words only consider the positive and negative polarity by the Cantor set, and no attention is paid to the fuzziness of the polarity intensity of sentiment words. In order to improve the performance, we propose a fuzzy computing model to identify the polarity of Chinese sentiment words in this paper. There are three major contributions in this paper. Firstly, we propose a method to compute polarity intensity of sentiment morphemes and sentiment words. Secondly, we construct a fuzzy sentiment classifier and propose two different methods to compute the parameter of the fuzzy classifier. Thirdly, we conduct extensive experiments on four sentiment words datasets and three review datasets, and the experimental results indicate that our model performs better than the state-of-the-art methods. PMID:26106409

Determining the Best Science Blogger: Teachers or Scientists?

NASA Astrophysics Data System (ADS)

Timm, K.; Lower, T. A.; Sparrow, E. B.; Niles, B. A.

2011-12-01

The International Polar Year (2007-2008) was an international scientific campaign to study and raise awareness of the Earth's polar regions. Several scientists and educators that visited the polar regions during this time used a blog to share their day-to-day and scientific research activities with school children and the general public. Due to advances in technology, scientists and others were able to post their daily stories and photos online to share the science and their adventures from sometimes very remote locations in the polar regions. Not having large budgets for outreach, blogs are a commonly used outreach tool because they can be free or relatively inexpensive to set up and maintain. However, in order for this approach to be successful, the readability and words used must be accessible to the target audience. This study uses the Flesch Reading Ease Analysis and Quantitative Phenomenology to compare blogs from three groups of people, including teachers, scientists, and scientists who had received special blog and multimedia training. Quantitative Phenomenology provides a quantitative means to analyze large quantities of written text and determine relative word frequencies by comparing word counts from a selected body of text with that of the American National Corpus. This method was used to determine the amount of scientific jargon used in the blogs of each group, because cognitively, approaching jargon when reading is like approaching a complex word with several syllables. Despite training, both groups of scientists wrote on average at an eighth to ninth grade reading level and used more scientific jargon in their blogs. Teachers who wrote from the field wrote on average at a seventh grade level, and while they used some scientific jargon they spent more time talking about life in the field than scientists. As funding agencies continue to require and encourage outreach activities by scientists, such as blogs, it is important that proper training and tools are in place so that activities are accessible to the target audiences and match their cognitive abilities. While the seventh to ninth grade reading level is probably fairly accessible for many adults, the grade level is probably too high for most elementary and early middle school students and much higher than popular literature. Science blogs have the potential to contribute greatly to scientific literacy, but only if the public and students are able to read and understand what they are reading with ease.

Statistical Laws Governing Fluctuations in Word Use from Word Birth to Word Death

PubMed Central

Petersen, Alexander M.; Tenenbaum, Joel; Havlin, Shlomo; Stanley, H. Eugene

2012-01-01

We analyze the dynamic properties of 107 words recorded in English, Spanish and Hebrew over the period 1800–2008 in order to gain insight into the coevolution of language and culture. We report language independent patterns useful as benchmarks for theoretical models of language evolution. A significantly decreasing (increasing) trend in the birth (death) rate of words indicates a recent shift in the selection laws governing word use. For new words, we observe a peak in the growth-rate fluctuations around 40 years after introduction, consistent with the typical entry time into standard dictionaries and the human generational timescale. Pronounced changes in the dynamics of language during periods of war shows that word correlations, occurring across time and between words, are largely influenced by coevolutionary social, technological, and political factors. We quantify cultural memory by analyzing the long-term correlations in the use of individual words using detrended fluctuation analysis. PMID:22423321

Statistical Laws Governing Fluctuations in Word Use from Word Birth to Word Death

NASA Astrophysics Data System (ADS)

Petersen, Alexander M.; Tenenbaum, Joel; Havlin, Shlomo; Stanley, H. Eugene

2012-03-01

We analyze the dynamic properties of 107 words recorded in English, Spanish and Hebrew over the period 1800-2008 in order to gain insight into the coevolution of language and culture. We report language independent patterns useful as benchmarks for theoretical models of language evolution. A significantly decreasing (increasing) trend in the birth (death) rate of words indicates a recent shift in the selection laws governing word use. For new words, we observe a peak in the growth-rate fluctuations around 40 years after introduction, consistent with the typical entry time into standard dictionaries and the human generational timescale. Pronounced changes in the dynamics of language during periods of war shows that word correlations, occurring across time and between words, are largely influenced by coevolutionary social, technological, and political factors. We quantify cultural memory by analyzing the long-term correlations in the use of individual words using detrended fluctuation analysis.

Reliable enumeration of malaria parasites in thick blood films using digital image analysis.

PubMed

Frean, John A

2009-09-23

Quantitation of malaria parasite density is an important component of laboratory diagnosis of malaria. Microscopy of Giemsa-stained thick blood films is the conventional method for parasite enumeration. Accurate and reproducible parasite counts are difficult to achieve, because of inherent technical limitations and human inconsistency. Inaccurate parasite density estimation may have adverse clinical and therapeutic implications for patients, and for endpoints of clinical trials of anti-malarial vaccines or drugs. Digital image analysis provides an opportunity to improve performance of parasite density quantitation. Accurate manual parasite counts were done on 497 images of a range of thick blood films with varying densities of malaria parasites, to establish a uniformly reliable standard against which to assess the digital technique. By utilizing descriptive statistical parameters of parasite size frequency distributions, particle counting algorithms of the digital image analysis programme were semi-automatically adapted to variations in parasite size, shape and staining characteristics, to produce optimum signal/noise ratios. A reliable counting process was developed that requires no operator decisions that might bias the outcome. Digital counts were highly correlated with manual counts for medium to high parasite densities, and slightly less well correlated with conventional counts. At low densities (fewer than 6 parasites per analysed image) signal/noise ratios were compromised and correlation between digital and manual counts was poor. Conventional counts were consistently lower than both digital and manual counts. Using open-access software and avoiding custom programming or any special operator intervention, accurate digital counts were obtained, particularly at high parasite densities that are difficult to count conventionally. The technique is potentially useful for laboratories that routinely perform malaria parasite enumeration. The requirements of a digital microscope camera, personal computer and good quality staining of slides are potentially reasonably easy to meet.

Mean Platelet Volume (MPV), Platelet Distribution Width (PDW), Platelet Count and Plateletcrit (PCT) as predictors of in-hospital paediatric mortality: a case-control Study.

PubMed

Golwala, Zainab Mohammedi; Shah, Hardik; Gupta, Neeraj; Sreenivas, V; Puliyel, Jacob M

2016-06-01

Thrombocytopenia has been shown to predict mortality. We hypothesize that platelet indices may be more useful prognostic indicators. Our study subjects were children one month to 14 years old admitted to our hospital. To determine whether platelet count, plateletcrit (PCT), mean platelet volume (MPV) and platelet distribution width (PDW) and their ratios can predict mortality in hospitalised children. Children who died during hospital stay were the cases. Controls were age matched children admitted contemporaneously. The first blood sample after admission was used for analysis. Receiver operating characteristic (ROC) curve was used to identify the best threshold for measured variables and the ratios studied. Multiple regression analysis was done to identify independent predictors of mortality. Forty cases and forty controls were studied. Platelet count, PCT and the ratios of MPV/Platelet count, MPV/PCT, PDW/Platelet count, PDW/PCT and MPV × PDW/Platelet count × PCT were significantly different among children who survived compared to those who died. On multiple regression analysis the ratio of MPV/PCT, PDW/Platelet count and MPV/Platelet count were risk factors for mortality with an odds ratio of 4.31(95% CI, 1.69-10.99), 3.86 (95% CI, 1.53-9.75), 3.45 (95% CI, 1.38-8.64) respectively. In 67% of the patients who died MPV/PCT ratio was above 41.8 and PDW/Platelet count was above 3.86. In 65% of patients who died MPV/Platelet count was above 3.45. The MPV/PCT, PDW/Platelet count and MPV/Platelet count, in the first sample after admission in this case control study were predictors of mortality and could predict 65% to 67% of deaths accurately.

The Lick Observatory image-dissector scanner.

NASA Technical Reports Server (NTRS)

Robinson, L. B.; Wampler, E. J.

1972-01-01

A scanner that uses an image dissector to scan the output screen of an image tube has proven to be a sensitive and linear detector for faint astronomical spectra. The image-tube phosphor screen acts as a short-term storage element and allows the system to approach the performance of an ideal multichannel photon counter. Pulses resulting from individual photons, emitted from the output phosphor and detected by the image dissector, trigger an amplifier-discriminator and are counted in a 24-bit, 4096-word circulating memory. Aspects of system performance are discussed, giving attention to linearity, dynamic range, sensitivity, stability, and scattered light properties.

Speech Recognition: Proceedings of a Workshop Held in San Diego, California on March 24-26, 1987

DTIC Science & Technology

1987-03-01

following count as single "words": HONG-KONG, SAN-DIEGO, ICE-NINE, PAC-ALERT, LAT -LON, FUGET- 1 , M -RATING, C- CODE, SQO-23, etc. However, BQ’ING...baseline isolsted-aord HHM systsa sre depicted in Tig. 1 , «hile Pig. 2 indicates ths robustness snhsnceaents «hich hsvs been developed end tsstsd...the United States Government. .>\\S .^Vv .vW 87 8 A3 023 £ 1 -•.v.v.-.." v v ■-•’.- ".• •.- •. • , • «* * • ■ "^ • i TADI.K OP

Feasibility of Open Tube Slider Growth of HgCdTe from Te-Rich Solution.

DTIC Science & Technology

1980-02-01

19. KEY WORDS (CONTINUE ON REVERSE SIDE IF NECESSARY AND IDENTIFY my BLOcC UMUeR) Mercury -Cadmium Telluride Liquid Phase Epitaxy Te-Rich pen Tube...F33615-77-C-5142 were coveied knAEML-TR-79-403 dated February 1979 and titled "Minority Carrier Lifetime and Diffusion Length in p-type Mercury Cadmium...Current IF = Forward Current 39 E DAX CALI BRATION 16 (BO00 To COUNTS) 14 12 4 2 ~- - 10 Cd In 4 2 0 2 4 6 t o x Figure 1. EDAX Calibration. Mercury and

An Analysis of Initial Acquisition and Maintenance of Sight Words Following Picture Matching and Copy, Cover, and Compare Teaching Methods

ERIC Educational Resources Information Center

Conley, Colleen M.; Derby, K. Mark; Roberts-Gwinn, Michelle; Weber, Kimberly P.; McLaughlin, T.F.

2004-01-01

This study compared the copy, cover, and compare method to a picture-word matching method for teaching sight word recognition. Participants were 5 kindergarten students with less than preprimer sight word vocabularies who were enrolled in a public school in the Pacific Northwest. A multielement design was used to evaluate the effects of the two…

Analysis of Phonemes, Graphemes, Onset-Rimes, and Words with Braille-Learning Children

ERIC Educational Resources Information Center

Crawford, Shauna; Elliott, Robert T.

2007-01-01

Six primary school-aged braille students were taught to name 4 to 10 braille letters as phonemes and another 4 to 10 braille letters as graphemes (Study 1). They were then taught to name 10 braille words as onset-rimes and another 10 braille words as whole words (Study 2). Instruction in phonemes and onset rimes resulted in fewer trials and a…

Selection for production-related traits in Pelargonium zonale: improved design and analysis make all the difference

PubMed Central

Molenaar, Heike; Glawe, Martin; Boehm, Robert; Piepho, Hans-Peter

2017-01-01

Ornamental plant variety improvement is limited by current phenotyping approaches and neglected use of experimental designs. The present study was conducted to show the benefits of using an experimental design and corresponding analysis in ornamental breeding regarding simulated response to selection in Pelargonium zonale for production-related traits. This required establishment of phenotyping protocols for root formation and stem cutting counts, with which 974 genotypes were assessed in a two-phase experimental design. The present paper evaluates this protocol. The possibility of varietal improvement through indirect selection on secondary traits such as branch count and flower count was assessed by genetic correlations. Simulated response to selection varied greatly, depending on the genotypic variances of the breeding population and traits. A varietal improvement of over 20% is possible for stem cutting count, root formation, branch count and flower count. In contrast, indirect selection of stem cutting count by branch count or flower count was found to be ineffective. The established phenotypic protocols and two-phase experimental designs are valuable tools for breeding of P. zonale. PMID:28243453

Selection for production-related traits in Pelargonium zonale: improved design and analysis make all the difference.

PubMed

Molenaar, Heike; Glawe, Martin; Boehm, Robert; Piepho, Hans-Peter

2017-01-01

Ornamental plant variety improvement is limited by current phenotyping approaches and neglected use of experimental designs. The present study was conducted to show the benefits of using an experimental design and corresponding analysis in ornamental breeding regarding simulated response to selection in Pelargonium zonale for production-related traits. This required establishment of phenotyping protocols for root formation and stem cutting counts, with which 974 genotypes were assessed in a two-phase experimental design. The present paper evaluates this protocol. The possibility of varietal improvement through indirect selection on secondary traits such as branch count and flower count was assessed by genetic correlations. Simulated response to selection varied greatly, depending on the genotypic variances of the breeding population and traits. A varietal improvement of over 20% is possible for stem cutting count, root formation, branch count and flower count. In contrast, indirect selection of stem cutting count by branch count or flower count was found to be ineffective. The established phenotypic protocols and two-phase experimental designs are valuable tools for breeding of P. zonale .

Science Inquiry as Knowledge Transformation: Investigating Metacognitive and Self-regulation Strategies to Assist Students in Writing about Scientific Inquiry Tasks

NASA Astrophysics Data System (ADS)

Collins, Timothy A.

2011-12-01

Science inquiry is central to the science education reform efforts that began in the early 1990's. It is both a topic of instruction and a process to be experienced. Student engagement in the process of scientific inquiry was the focus of this study. The process of scientific inquiry can be conceived as a two-part task. In the initial part of the task, students identify a question or problem to study and then carry out an investigation to address the issue. In the second part of the task, students analyze their data to propose explanations and then report their findings. Knowing that students struggle with science inquiry tasks, this study sought to investigate ways to help students become more successful with the communication demands of science inquiry tasks. The study took place in a high school chemistry class. Students in this study completed a total of three inquiry tasks over the course of one school year. Students were split into four experimental groups in order to determine the effect of goal setting, metacognitive prompts, and sentence stems on student inquiry tasks. The quality of the student written work was assessed using a scoring rubric familiar to the students. In addition, students were asked at four different times in the school year to respond to a self-efficacy survey that measured student self-efficacy for chemistry content and science inquiry processes. Student self-efficacy for the process of scientific inquiry was positive and did not change over the course of the study while student scores on the science inquiry tasks rose significantly. The metacognitive prompts and instruction in goal setting did not have any effect on student inquiry scores. Results related to the effect of the sentence stems were mixed. An analysis of student work indicated that students who received high marks on their initial inquiry task in this study were the ones that adopted the use of the sentence stems. Students who received low marks on their initial inquiry task did not tend to use the sentence stems. An analysis of word counts that compared the number of words used in the Framing section to the number of words used in the Analysis section indicated that students may have been using insufficient writing strategies. This study concludes with implications for classroom practice and recommendations for future research around student writing in the science classroom.

Toward developing a standardized Arabic continuous text reading chart.

PubMed

Alabdulkader, Balsam; Leat, Susan Jennifer

Near visual acuity is an essential measurement during an oculo-visual assessment. Short duration continuous text reading charts measure reading acuity and other aspects of reading performance. There is no standardized version of such chart in Arabic. The aim of this study is to create sentences of equal readability to use in the development of a standardized Arabic continuous text reading chart. Initially, 109 Arabic pairs of sentences were created for use in constructing a chart with similar layout to the Colenbrander chart. They were created to have the same grade level of difficulty and physical length. Fifty-three adults and sixteen children were recruited to validate the sentences. Reading speed in correct words per minute (CWPM) and standard length words per minute (SLWPM) was measured and errors were counted. Criteria based on reading speed and errors made in each sentence pair were used to exclude sentence pairs with more outlying characteristics, and to select the final group of sentence pairs. Forty-five sentence pairs were selected according to the elimination criteria. For adults, the average reading speed for the final sentences was 166 CWPM and 187 SLWPM and the average number of errors per sentence pair was 0.21. Childrens' average reading speed for the final group of sentences was 61 CWPM and 72 SLWPM. Their average error rate was 1.71. The reliability analysis showed that the final 45 sentence pairs are highly comparable. They will be used in constructing an Arabic short duration continuous text reading chart. Copyright © 2016 Spanish General Council of Optometry. Published by Elsevier España, S.L.U. All rights reserved.

Linguistic correlates of team performance: toward a tool for monitoring team functioning during space missions.

PubMed

Fischer, Ute; McDonnell, Lori; Orasanu, Judith

2007-05-01

Approaches to mitigating the likelihood of psychosocial problems during space missions emphasize preflight measures such as team training and team composition. Additionally, it may be necessary to monitor team interactions during missions for signs of interpersonal stress. The present research was conducted to identify features in team members' communications indicative of team functioning. Team interactions were studied in the context of six computer-simulated search and rescue missions. There were 12 teams of 4 U.S. men who participated; however, the present analyses contrast the top two teams with the two least successful teams. Communications between team members were analyzed using linguistic analysis software and a coding scheme developed to characterize task-related and social dimensions of team interactions. Coding reliability was established by having two raters independently code three transcripts. Between-rater agreement ranged from 78.1 to 97.9%. Team performance was significantly associated with team members' task-related communications, specifically with the extent to which task-critical information was shared. Successful and unsuccessful teams also showed different interactive patterns, in particular concerning the frequencies of elaborations and no-responses. Moreover, task success was negatively correlated with variability in team members' word count, and positively correlated with the number of positive emotion words and the frequency of assenting relative to dissenting responses. Analyses isolated certain task-related and social features of team communication related to team functioning. Team success was associated with the extent to which team members shared task-critical information, equally participated and built on each other's contributions, showed agreement, and positive affect.

Informed Consent Conversations and Documents: A Quantitative Comparison

PubMed Central

Koyfman, Shlomo A.; Reddy, Chandana A.; Hizlan, Sabahat; Leek, Angela C.; Kodish, Eric

2015-01-01

Background Informed consent for clinical research includes two components: informed consent documents (ICD) and informed consent conversations (ICC). Readability software has been used to help simplify the language of the ICD, but rarely employed to assess the language during the ICC, which may influence the quality of informed consent. This analysis was completed to determine if length and reading levels of transcribed ICCs are lower than their corresponding ICDs for selected clinical trials, and to assess whether investigator experience affected use of simpler language and comprehensiveness. Methods Prospective study where ICCs were audio-recorded at 6 institutions when families were offered participation in pediatric phase I oncology trials. Word count, Flesch-Kincaid Grade Level (FKGL) and Flesch Reading Ease Score (FRES) of ICCs were compared to corresponding ICDs, including the frequency that investigators addressed 8 pre-specified critical consent elements during the ICC. Results Sixty-nine unique physician/protocol pairs were identified. Overall, ICCs contained fewer words (4,677 vs. 6,364; p=0.0016), had lower FKGL (6 vs. 9.7; p=<0.0001) and higher FRES (77.8 vs. 56.7; p<0.0001) than their respective ICDs, but were more likely to omit critical consent elements, such as voluntariness (55%) and dose limiting toxicities (26%). Years of investigator experience was not correlated with reliably covering critical elements or decreased linguistic complexity. Conclusions Clinicians use more understandable language during ICCs than the corresponding ICD, but less reliably cover elements critical to fully informed consent. Focused efforts at providing communication training for clinician-investigators should be done to optimize the synergy between the ICD and conversation. PMID:26505269

Lax decision criteria lead to negativity bias: evidence from the emotional stroop task.

PubMed

Liu, Guofang; Xin, Ziqiang; Lin, Chongde

2014-06-01

Negativity bias means that negative information is usually given more emphasis than comparable positive information. Under signal detection theory, recent research found that people more frequently and incorrectly identify negative task-related words as having been presented originally than positive words, even when they were not presented. That is, people have lax decision criteria for negative words. However, the response biases for task-unrelated negative words and for emotionally important words are still unclear. This study investigated response bias for these two kinds of words. Study 1 examined the response bias for task-unrelated negative words using an emotional Stroop task. Proportions of correct recognition to negative and positive words were assessed by non-parametric signal detection analysis. Participants have lower (i.e., more lax) decision criteria for task-unrelated negative words than for positive words. Study 2 supported and expanded this result by investigating participants' response bias for highly emotional words. Participants have lower decision criteria for highly emotional words than for less emotional words. Finally, possible evolutionary sources of the response bias were discussed.

Acquisition of Malay word recognition skills: lessons from low-progress early readers.

PubMed

Lee, Lay Wah; Wheldall, Kevin

2011-02-01

Malay is a consistent alphabetic orthography with complex syllable structures. The focus of this research was to investigate word recognition performance in order to inform reading interventions for low-progress early readers. Forty-six Grade 1 students were sampled and 11 were identified as low-progress readers. The results indicated that both syllable awareness and phoneme blending were significant predictors of word recognition, suggesting that both syllable and phonemic grain-sizes are important in Malay word recognition. Item analysis revealed a hierarchical pattern of difficulty based on the syllable and the phonic structure of the words. Error analysis identified the sources of errors to be errors due to inefficient syllable segmentation, oversimplification of syllables, insufficient grapheme-phoneme knowledge and inefficient phonemic code assembly. Evidence also suggests that direct instruction in syllable segmentation, phonemic awareness and grapheme-phoneme correspondence is necessary for low-progress readers to acquire word recognition skills. Finally, a logical sequence to teach grapheme-phoneme decoding in Malay is suggested. Copyright © 2010 John Wiley & Sons, Ltd.

The potential of latent semantic analysis for machine grading of clinical case summaries.

PubMed

Kintsch, Walter

2002-02-01

This paper introduces latent semantic analysis (LSA), a machine learning method for representing the meaning of words, sentences, and texts. LSA induces a high-dimensional semantic space from reading a very large amount of texts. The meaning of words and texts can be represented as vectors in this space and hence can be compared automatically and objectively. A generative theory of the mental lexicon based on LSA is described. The word vectors LSA constructs are context free, and each word, irrespective of how many meanings or senses it has, is represented by a single vector. However, when a word is used in different contexts, context appropriate word senses emerge. Several applications of LSA to educational software are described, involving the ability of LSA to quickly compare the content of texts, such as an essay written by a student and a target essay. An LSA-based software tool is sketched for machine grading of clinical case summaries written by medical students.

Detecting Abnormal Word Utterances in Children With Autism Spectrum Disorders: Machine-Learning-Based Voice Analysis Versus Speech Therapists.

PubMed

Nakai, Yasushi; Takiguchi, Tetsuya; Matsui, Gakuyo; Yamaoka, Noriko; Takada, Satoshi

2017-10-01

Abnormal prosody is often evident in the voice intonations of individuals with autism spectrum disorders. We compared a machine-learning-based voice analysis with human hearing judgments made by 10 speech therapists for classifying children with autism spectrum disorders ( n = 30) and typical development ( n = 51). Using stimuli limited to single-word utterances, machine-learning-based voice analysis was superior to speech therapist judgments. There was a significantly higher true-positive than false-negative rate for machine-learning-based voice analysis but not for speech therapists. Results are discussed in terms of some artificiality of clinician judgments based on single-word utterances, and the objectivity machine-learning-based voice analysis adds to judging abnormal prosody.

Differential cognitive processing of Kanji and Kana words: do orthographic and semantic codes function in parallel in word matching task.

PubMed

Kawakami, A; Hatta, T; Kogure, T

2001-12-01

Relative engagements of the orthographic and semantic codes in Kanji and Hiragana word recognition were investigated. In Exp. 1, subjects judged whether the pairs of Kanji words (prime and target) presented sequentially were physically identical to each other in the word condition. In the sentence condition, subjects decided whether the target word was valid for the prime sentence presented in advance. The results showed that the response times to the target swords orthographically similar (to the prime) were significantly slower than to semantically related target words in the word condition and that this was also the case in the sentence condition. In Exp. 2, subjects judged whether the target word written in Hiragana was physically identical to the prime word in the word condition. In the sentence condition, subjects decided if the target word was valid for the previously presented prime sentence. Analysis indicated that response times to orthographically similar words were slower than to semantically related words in the word condition but not in the sentence condition wherein the response times to the semantically and orthographically similar words were largely the same. Based on these results, differential contributions of orthographic and semantic codes in cognitive processing of Japanese Kanji and Hiragana words was discussed.

Optimizing the duration of point counts for monitoring trends in bird populations

Treesearch

Jared Verner

1988-01-01

Minute-by-minute analysis of point counts of birds in mixed-conifer forests in the Sierra National Forest, central California, showed that cumulative counts of species and individuals increased in a curvilinear fashion but did not reach asymptotes after 10 minutes of counting. Comparison of the expected number of individuals counted per hour with various combinations...

Adaptive Search through Constraint Violations

DTIC Science & Technology

1990-01-01

underly counting (Gelman & Gallistel , 1978; Gelman & Meck, 1986). Modifying slightly the analysis by Gelman and Gallistel (1978), we identify three...understanding of counting, Gelman and Gallistel (1978) invented two non-standard counting tasks, ordered counting, in which the objects are counted In... Gallistel , 1978; Gelman & Meck, 1986). The most plausible explanation for this flexibility is that children can derive the control knowledge for the

Bayesian analyses of time-interval data for environmental radiation monitoring.

PubMed

Luo, Peng; Sharp, Julia L; DeVol, Timothy A

2013-01-01

Time-interval (time difference between two consecutive pulses) analysis based on the principles of Bayesian inference was investigated for online radiation monitoring. Using experimental and simulated data, Bayesian analysis of time-interval data [Bayesian (ti)] was compared with Bayesian and a conventional frequentist analysis of counts in a fixed count time [Bayesian (cnt) and single interval test (SIT), respectively]. The performances of the three methods were compared in terms of average run length (ARL) and detection probability for several simulated detection scenarios. Experimental data were acquired with a DGF-4C system in list mode. Simulated data were obtained using Monte Carlo techniques to obtain a random sampling of the Poisson distribution. All statistical algorithms were developed using the R Project for statistical computing. Bayesian analysis of time-interval information provided a similar detection probability as Bayesian analysis of count information, but the authors were able to make a decision with fewer pulses at relatively higher radiation levels. In addition, for the cases with very short presence of the source (< count time), time-interval information is more sensitive to detect a change than count information since the source data is averaged by the background data over the entire count time. The relationships of the source time, change points, and modifications to the Bayesian approach for increasing detection probability are presented.

Using Image Attributes to Assure Accurate Particle Size and Count Using Nanoparticle Tracking Analysis.

PubMed

Defante, Adrian P; Vreeland, Wyatt N; Benkstein, Kurt D; Ripple, Dean C

2018-05-01

Nanoparticle tracking analysis (NTA) obtains particle size by analysis of particle diffusion through a time series of micrographs and particle count by a count of imaged particles. The number of observed particles imaged is controlled by the scattering cross-section of the particles and by camera settings such as sensitivity and shutter speed. Appropriate camera settings are defined as those that image, track, and analyze a sufficient number of particles for statistical repeatability. Here, we test if image attributes, features captured within the image itself, can provide measurable guidelines to assess the accuracy for particle size and count measurements using NTA. The results show that particle sizing is a robust process independent of image attributes for model systems. However, particle count is sensitive to camera settings. Using open-source software analysis, it was found that a median pixel area, 4 pixels 2 , results in a particle concentration within 20% of the expected value. The distribution of these illuminated pixel areas can also provide clues about the polydispersity of particle solutions prior to using a particle tracking analysis. Using the median pixel area serves as an operator-independent means to assess the quality of the NTA measurement for count. Published by Elsevier Inc.

Modulation of brain activity by multiple lexical and word form variables in visual word recognition: A parametric fMRI study.

PubMed

Hauk, Olaf; Davis, Matthew H; Pulvermüller, Friedemann

2008-09-01

Psycholinguistic research has documented a range of variables that influence visual word recognition performance. Many of these variables are highly intercorrelated. Most previous studies have used factorial designs, which do not exploit the full range of values available for continuous variables, and are prone to skewed stimulus selection as well as to effects of the baseline (e.g. when contrasting words with pseudowords). In our study, we used a parametric approach to study the effects of several psycholinguistic variables on brain activation. We focussed on the variable word frequency, which has been used in numerous previous behavioural, electrophysiological and neuroimaging studies, in order to investigate the neuronal network underlying visual word processing. Furthermore, we investigated the variable orthographic typicality as well as a combined variable for word length and orthographic neighbourhood size (N), for which neuroimaging results are still either scarce or inconsistent. Data were analysed using multiple linear regression analysis of event-related fMRI data acquired from 21 subjects in a silent reading paradigm. The frequency variable correlated negatively with activation in left fusiform gyrus, bilateral inferior frontal gyri and bilateral insulae, indicating that word frequency can affect multiple aspects of word processing. N correlated positively with brain activity in left and right middle temporal gyri as well as right inferior frontal gyrus. Thus, our analysis revealed multiple distinct brain areas involved in visual word processing within one data set.

Surviving blind decomposition: A distributional analysis of the time-course of complex word recognition.

PubMed

Schmidtke, Daniel; Matsuki, Kazunaga; Kuperman, Victor

2017-11-01

The current study addresses a discrepancy in the psycholinguistic literature about the chronology of information processing during the visual recognition of morphologically complex words. Form-then-meaning accounts of complex word recognition claim that morphemes are processed as units of form prior to any influence of their meanings, whereas form-and-meaning models posit that recognition of complex word forms involves the simultaneous access of morphological and semantic information. The study reported here addresses this theoretical discrepancy by applying a nonparametric distributional technique of survival analysis (Reingold & Sheridan, 2014) to 2 behavioral measures of complex word processing. Across 7 experiments reported here, this technique is employed to estimate the point in time at which orthographic, morphological, and semantic variables exert their earliest discernible influence on lexical decision RTs and eye movement fixation durations. Contrary to form-then-meaning predictions, Experiments 1-4 reveal that surface frequency is the earliest lexical variable to exert a demonstrable influence on lexical decision RTs for English and Dutch derived words (e.g., badness ; bad + ness ), English pseudoderived words (e.g., wander ; wand + er ) and morphologically simple control words (e.g., ballad ; ball + ad ). Furthermore, for derived word processing across lexical decision and eye-tracking paradigms (Experiments 1-2; 5-7), semantic effects emerge early in the time-course of word recognition, and their effects either precede or emerge simultaneously with morphological effects. These results are not consistent with the premises of the form-then-meaning view of complex word recognition, but are convergent with a form-and-meaning account of complex word recognition. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

Pupillary responses during lexical decisions vary with word frequency but not emotional valence.

PubMed

Kuchinke, Lars; Võ, Melissa L-H; Hofmann, Markus; Jacobs, Arthur M

2007-08-01

Pupillary responses were examined during a lexical decision task (LDT). Word frequency (high and low frequency words) and emotional valence (positive, neutral and negative words) were varied as experimental factors incidental to the subjects. Both variables significantly affected lexical decision performance and an interaction effect was observed. The behavioral results suggest that manipulating word frequency may partly account for the heterogeneous literature findings regarding emotional valence effects in the LDT. In addition, a difference between high and low frequency words was observed in the pupil data as reflected by higher peak pupil dilations for low frequency words, whereas pupillary responses to emotionally valenced words did not differ. This result was further supported by means of a principal component analysis on the pupil data, in which a late component was shown only to be affected by word frequency. Consistent with previous findings, word frequency was found to affect the resource allocation towards processing of the letter string, while emotionally valenced words tend to facilitate processing.

Anatomic, clinical, and neuropsychological correlates of spelling errors in primary progressive aphasia.

PubMed

Shim, Hyungsub; Hurley, Robert S; Rogalski, Emily; Mesulam, M-Marsel

2012-07-01

This study evaluates spelling errors in the three subtypes of primary progressive aphasia (PPA): agrammatic (PPA-G), logopenic (PPA-L), and semantic (PPA-S). Forty-one PPA patients and 36 age-matched healthy controls were administered a test of spelling. The total number of errors and types of errors in spelling to dictation of regular words, exception words and nonwords, were recorded. Error types were classified based on phonetic plausibility. In the first analysis, scores were evaluated by clinical diagnosis. Errors in spelling exception words and phonetically plausible errors were seen in PPA-S. Conversely, PPA-G was associated with errors in nonword spelling and phonetically implausible errors. In the next analysis, spelling scores were correlated to other neuropsychological language test scores. Significant correlations were found between exception word spelling and measures of naming and single word comprehension. Nonword spelling correlated with tests of grammar and repetition. Global language measures did not correlate significantly with spelling scores, however. Cortical thickness analysis based on MRI showed that atrophy in several language regions of interest were correlated with spelling errors. Atrophy in the left supramarginal gyrus and inferior frontal gyrus (IFG) pars orbitalis correlated with errors in nonword spelling, while thinning in the left temporal pole and fusiform gyrus correlated with errors in exception word spelling. Additionally, phonetically implausible errors in regular word spelling correlated with thinning in the left IFG pars triangularis and pars opercularis. Together, these findings suggest two independent systems for spelling to dictation, one phonetic (phoneme to grapheme conversion), and one lexical (whole word retrieval). Copyright © 2012 Elsevier Ltd. All rights reserved.

Abstract conceptual feature ratings predict gaze within written word arrays: evidence from a Visual Wor(l)d paradigm

PubMed Central

Primativo, Silvia; Reilly, Jamie; Crutch, Sebastian J

2016-01-01

The Abstract Conceptual Feature (ACF) framework predicts that word meaning is represented within a high-dimensional semantic space bounded by weighted contributions of perceptual, affective, and encyclopedic information. The ACF, like latent semantic analysis, is amenable to distance metrics between any two words. We applied predictions of the ACF framework to abstract words using eye tracking via an adaptation of the classical ‘visual word paradigm’. Healthy adults (N=20) selected the lexical item most related to a probe word in a 4-item written word array comprising the target and three distractors. The relation between the probe and each of the four words was determined using the semantic distance metrics derived from ACF ratings. Eye-movement data indicated that the word that was most semantically related to the probe received more and longer fixations relative to distractors. Importantly, in sets where participants did not provide an overt behavioral response, the fixation rates were none the less significantly higher for targets than distractors, closely resembling trials where an expected response was given. Furthermore, ACF ratings which are based on individual words predicted eye fixation metrics of probe-target similarity at least as well as latent semantic analysis ratings which are based on word co-occurrence. The results provide further validation of Euclidean distance metrics derived from ACF ratings as a measure of one facet of the semantic relatedness of abstract words and suggest that they represent a reasonable approximation of the organization of abstract conceptual space. The data are also compatible with the broad notion that multiple sources of information (not restricted to sensorimotor and emotion information) shape the organization of abstract concepts. Whilst the adapted ‘visual word paradigm’ is potentially a more metacognitive task than the classical visual world paradigm, we argue that it offers potential utility for studying abstract word comprehension. PMID:26901571

Analysis of the English morphology by semantic networks

NASA Astrophysics Data System (ADS)

Žáček, Martin; Homola, Dan

2017-11-01

The article is devoted to study the morphology of natural language, in this case English language. The research is of the language is from the perspective of knowledge representation, when we look at the word as a concept in the Concept languages. The research is in the relationship of the individual words and their classification in the sentence. For the analysis there are used several methods (syntax, lexical categories, morphology). This article focuses mainly on the word, as the foundation of every natural language (English).

Error Analysis for Arithmetic Word Problems--A Case Study of Primary Three Students in One Singapore School

ERIC Educational Resources Information Center

Cheng, Lu Pien

2015-01-01

In this study, ways in which 9-year old students from one Singapore school solved 1-step and 2-step word problems based on the three semantic structures were examined. The students' work and diagrams provided insights into the range of errors in word problem solving for 1- step and 2-step word problems. In particular, the errors provided some…

Co-occurrence network analysis of Chinese and English poems

NASA Astrophysics Data System (ADS)

Liang, Wei; Wang, Yanli; Shi, Yuming; Chen, Guanrong

2015-02-01

A total of 572 co-occurrence networks of Chinese characters and words as well as English words are constructed from both Chinese and English poems. It is found that most of the networks have small-world features; more Chinese networks have scale-free properties and hierarchical structures as compared with the English networks; all the networks are disassortative, and the disassortativeness of the Chinese word networks is more prominent than those of the English networks; the spectral densities of the Chinese word networks and English networks are similar, but they are different from those of the ER, BA, and WS networks. For the above observed phenomena, analysis is provided with interpretation from a linguistic perspective.

Free Associations Mirroring Self- and World-Related Concepts: Implications for Personal Construct Theory, Psycholinguistics and Philosophical Psychology.

PubMed

Kuška, Martin; Trnka, Radek; Kuběna, Aleš A; Růžička, Jiří

2016-01-01

People construe reality by using words as basic units of meaningful categorization. The present theory-driven study applied the method of a free association task to explore how people express the concepts of the world and the self in words. The respondents were asked to recall any five words relating with the word world. Afterward they were asked to recall any five words relating with the word self. The method of free association provided the respondents with absolute freedom to choose any words they wanted. Such free recall task is suggested as being a relatively direct approach to the respondents' self- and world-related conceptual categories, without enormous rational processing. The results provide us, first, with associative ranges for constructs of the world and the self, where some associative dimensions are defined by semantic polarities in the meanings of peripheral categories (e.g., Nature vs. Culture). Second, our analysis showed that some groups of verbal categories that were associated with the words world and self are central, while others are peripheral with respect to the central position. Third, the analysis of category networks revealed that some categories play the role of a transmitter, mediating the pathway between other categories in the network.

Free Associations Mirroring Self- and World-Related Concepts: Implications for Personal Construct Theory, Psycholinguistics and Philosophical Psychology

PubMed Central

Kuška, Martin; Trnka, Radek; Kuběna, Aleš A.; Růžička, Jiří

2016-01-01

People construe reality by using words as basic units of meaningful categorization. The present theory-driven study applied the method of a free association task to explore how people express the concepts of the world and the self in words. The respondents were asked to recall any five words relating with the word world. Afterward they were asked to recall any five words relating with the word self. The method of free association provided the respondents with absolute freedom to choose any words they wanted. Such free recall task is suggested as being a relatively direct approach to the respondents’ self- and world-related conceptual categories, without enormous rational processing. The results provide us, first, with associative ranges for constructs of the world and the self, where some associative dimensions are defined by semantic polarities in the meanings of peripheral categories (e.g., Nature vs. Culture). Second, our analysis showed that some groups of verbal categories that were associated with the words world and self are central, while others are peripheral with respect to the central position. Third, the analysis of category networks revealed that some categories play the role of a transmitter, mediating the pathway between other categories in the network. PMID:27445940

Individual differences in emotion word processing: A diffusion model analysis.

PubMed

Mueller, Christina J; Kuchinke, Lars

2016-06-01

The exploratory study investigated individual differences in implicit processing of emotional words in a lexical decision task. A processing advantage for positive words was observed, and differences between happy and fear-related words in response times were predicted by individual differences in specific variables of emotion processing: Whereas more pronounced goal-directed behavior was related to a specific slowdown in processing of fear-related words, the rate of spontaneous eye blinks (indexing brain dopamine levels) was associated with a processing advantage of happy words. Estimating diffusion model parameters revealed that the drift rate (rate of information accumulation) captures unique variance of processing differences between happy and fear-related words, with highest drift rates observed for happy words. Overall emotion recognition ability predicted individual differences in drift rates between happy and fear-related words. The findings emphasize that a significant amount of variance in emotion processing is explained by individual differences in behavioral data.

Parkinson's disease and the effect of lexical factors on vowel articulation.

PubMed

Watson, Peter J; Munson, Benjamin

2008-11-01

Lexical factors (i.e., word frequency and phonological neighborhood density) influence speech perception and production. It is unknown if these factors are affected by Parkinson's disease (PD). Ten men with PD and ten healthy men read CVC words (varying orthogonally for word frequency and density) aloud while audio recorded. Acoustic analysis was performed on duration and Bark-scaled F1-F2 values of the vowels contained in the words. Vowel space was larger for low-frequency words from dense neighborhoods than from sparse ones for both groups. However, the participants with PD did not show an effect of density on dispersion for high-frequency words.

A Preliminary Testability Analysis of the Mil-STD-1862 Architecture.

DTIC Science & Technology

1981-08-01

NEXT Iget address of successor of P (S) and check for write rights tmp2 = read(tmpl,word,M.w) NEXT read(tmp,word,M.w) NEXT Icheck write rights...read(tmp+4,word,M.w) NEXT Icheck write rights read(tmp2+4,word,M.w) NEXT Icheck write rights I IF tmp<l:0> OR tmpl<l:0> OR tmp2<l:0...address of pred (P) read(tmp2,word,M.w) NEXT Icheck access rights read(tmpl+4,word,M.w) NEXT. Icheck access rights IIF tmp<l:0> OR tmpl<l:0> OR

Diagnosis of nosocomial pneumonia in intubated, intensive care unit patients.

PubMed

Salata, R A; Lederman, M M; Shlaes, D M; Jacobs, M R; Eckstein, E; Tweardy, D; Toossi, Z; Chmielewski, R; Marino, J; King, C H

1987-02-01

The clinical distinction between bacterial colonization of the tracheobronchial tree and nosocomial pneumonia is difficult, especially in intubated patients. We studied 51 intubated, intensive care unit patients prospectively by serial examinations of tracheal aspirates for elastin fibers, graded Gram's stains, and quantitative bacterial cultures in conjunction with clinical and radiologic observations in an attempt to develop criteria for the early detection of pulmonary infection. Patients with infection had new or progressive pulmonary infiltrates plus 1 of the following: positive blood culture results, radiographic evidence of cavitation, or histologic evidence of pneumonia, or 2 or more of the following: new fever, new leukocytosis, or grossly purulent tracheal aspirates. Twenty-one patients developed infection, 22 remained colonized, and 8 had an uncertain status. Infiltrates developed in 34 patients (21 infected, 8 colonized, 5 uncertain status). Gram-negative bacilli were most commonly isolated and were more frequent in infected patients (81 versus 47%, p less than 0.05); Pseudomonas aeruginosa and Serratia marcescens were most often associated with infection. No differences were observed between infected and colonized patients in demographic features, smoking history, underlying disease, previous antibiotic therapy, days in hospital before intubation, preexisting pneumonia upon intubation, or highest temperature or leukocyte count during course. By univariate analysis, infected patients had a longer duration of intubation (p less than 0.05), higher Gram's stain grading for neutrophils (p less than 0.05) or bacteria (p less than 0.005), higher bacterial colony counts (p less than 0.05), and more frequent detection of elastin fibers in tracheal aspirates (p less than 0.02).(ABSTRACT TRUNCATED AT 250 WORDS)

Evaluating the quality of a cell counting measurement process via a dilution series experimental design.

PubMed

Sarkar, Sumona; Lund, Steven P; Vyzasatya, Ravi; Vanguri, Padmavathy; Elliott, John T; Plant, Anne L; Lin-Gibson, Sheng

2017-12-01

Cell counting measurements are critical in the research, development and manufacturing of cell-based products, yet determining cell quantity with accuracy and precision remains a challenge. Validating and evaluating a cell counting measurement process can be difficult because of the lack of appropriate reference material. Here we describe an experimental design and statistical analysis approach to evaluate the quality of a cell counting measurement process in the absence of appropriate reference materials or reference methods. The experimental design is based on a dilution series study with replicate samples and observations as well as measurement process controls. The statistical analysis evaluates the precision and proportionality of the cell counting measurement process and can be used to compare the quality of two or more counting methods. As an illustration of this approach, cell counting measurement processes (automated and manual methods) were compared for a human mesenchymal stromal cell (hMSC) preparation. For the hMSC preparation investigated, results indicated that the automated method performed better than the manual counting methods in terms of precision and proportionality. By conducting well controlled dilution series experimental designs coupled with appropriate statistical analysis, quantitative indicators of repeatability and proportionality can be calculated to provide an assessment of cell counting measurement quality. This approach does not rely on the use of a reference material or comparison to "gold standard" methods known to have limited assurance of accuracy and precision. The approach presented here may help the selection, optimization, and/or validation of a cell counting measurement process. Published by Elsevier Inc.

The time course of spoken word learning and recognition: studies with artificial lexicons.

PubMed

Magnuson, James S; Tanenhaus, Michael K; Aslin, Richard N; Dahan, Delphine

2003-06-01

The time course of spoken word recognition depends largely on the frequencies of a word and its competitors, or neighbors (similar-sounding words). However, variability in natural lexicons makes systematic analysis of frequency and neighbor similarity difficult. Artificial lexicons were used to achieve precise control over word frequency and phonological similarity. Eye tracking provided time course measures of lexical activation and competition (during spoken instructions to perform visually guided tasks) both during and after word learning, as a function of word frequency, neighbor type, and neighbor frequency. Apparent shifts from holistic to incremental competitor effects were observed in adults and neural network simulations, suggesting such shifts reflect general properties of learning rather than changes in the nature of lexical representations.

Word Processing Programs and Weaker Writers/Readers: A Meta-Analysis of Research Findings

ERIC Educational Resources Information Center

Morphy, Paul; Graham, Steve

2012-01-01

Since its advent word processing has become a common writing tool, providing potential advantages over writing by hand. Word processors permit easy revision, produce legible characters quickly, and may provide additional supports (e.g., spellcheckers, speech recognition). Such advantages should remedy common difficulties among weaker…

Unconventional Word Segmentation in Emerging Bilingual Students' Writing: A Longitudinal Analysis

ERIC Educational Resources Information Center

Sparrow, Wendy

2014-01-01

This study explores cross-language and longitudinal patterns in unconventional word segmentation in 25 emerging bilingual students' (Spanish/English) writing from first through third grade. Spanish and English writing samples were collected annually and analyzed for two basic types of unconventional word segmentation: hyposegmentation, in…

Sentence Context Affects the Brain Response to Masked Words

ERIC Educational Resources Information Center

Coulson, Seana; Brang, David

2010-01-01

Historically, language researchers have assumed that lexical, or word-level processing is fast and automatic, while slower, more controlled post-lexical processes are sensitive to contextual information from higher levels of linguistic analysis. Here we demonstrate the impact of sentence context on the processing of words not available for…

Language-based Measures of Mindfulness: Initial Validity and Clinical Utility

PubMed Central

Collins, Susan E.; Chawla, Neharika; Hsu, Sharon H.; Grow, Joel; Otto, Jacqueline M.; Marlatt, G. Alan

2009-01-01

This study examined relationships among language use, mindfulness, and substance-use treatment outcomes in the context of an efficacy trial of mindfulness-based relapse prevention (MBRP) for adults with alcohol and other drug use (AOD) disorders (see Bowen, Chawla, Collins et al., in press). An expert panel generated two categories of mindfulness language (ML) describing the mindfulness state and the more encompassing “mindfulness journey,” which included words describing challenges of developing a mindfulness practice. MBRP participants (n=48) completed baseline sociodemographic and AOD measures, and participated in the 8-week MBRP program. AOD data were collected during the 4-month follow-up. A word count program assessed the frequency of ML and other linguistic markers in participants’ responses to open-ended questions about their postintervention impressions of mindfulness practice and MBRP. Findings supported concurrent validity of ML categories: ML words appeared more frequently in the MBRP manual compared to the 12-step Big Book. Further, ML categories correlated with other linguistic variables related to the mindfulness construct. Finally, predictive validity was supported: greater use of ML predicted fewer AOD use days during the 4-month follow-up. This study provided initial support for ML as a valid, clinically useful mindfulness measure. If future studies replicate these findings, ML could be used in conjunction with self-report to provide a more complete picture of the mindfulness experience. PMID:20025383

Narrative Characteristics of Genocide Testimonies Predict Posttraumatic Stress Disorder Symptoms Years Later

PubMed Central

Ng, Lauren C.; Ahishakiye, Naphtal; Miller, Donald E.; Meyerowitz, Beth E.

2015-01-01

Cognitive theories of posttraumatic stress disorder (PTSD) suggest that trauma narratives that make greater use of somatosensory, perceptual, and negative emotion words may be indicators of greater risk of PTSD symptoms (Ehlers & Clark, 2000). The purpose of this study was to analyze whether the way that survivors of the 1994 Rwandan Genocide against the Tutsi naturally construct genocide testimonies predicts PTSD symptoms six years later. One hundred orphaned heads of household (OHH) who were members of a community association gave testimonies about their genocide experiences in 2002. In 2008, PTSD symptoms of 61 of the original OHH were assessed using a genocide specific version of the Impact of Events Scale-Revised (Weiss & Marmar, 2004). Experienced genocide events were coded from the genocide testimonies, and the types of words used in the testimonies were analyzed using the Linguistic Inquiry and Word Count program (Pennebaker, Chung, Ireland, Gonzales, & Booth, 2007). Pearson correlations and path analyses assessed the relationships between variables. After accounting for genocide events, touching positively predicted avoidance, and sadness negatively predicted hyperarousal. Sensory descriptions of traumatic experiences in trauma narratives may signify higher risk for mental health problems, while expressions of sadness may indicate emotional processing and better mental health. Analyzing genocide testimonies may help identify survivors at the highest risk of developing PTSD symptoms, even among a group of survivors who have arguably suffered some of the most severe genocide experiences. PMID:25793398

Phylogenetic tree construction using trinucleotide usage profile (TUP).

PubMed

Chen, Si; Deng, Lih-Yuan; Bowman, Dale; Shiau, Jyh-Jen Horng; Wong, Tit-Yee; Madahian, Behrouz; Lu, Henry Horng-Shing

2016-10-06

It has been a challenging task to build a genome-wide phylogenetic tree for a large group of species containing a large number of genes with long nucleotides sequences. The most popular method, called feature frequency profile (FFP-k), finds the frequency distribution for all words of certain length k over the whole genome sequence using (overlapping) windows of the same length. For a satisfactory result, the recommended word length (k) ranges from 6 to 15 and it may not be a multiple of 3 (codon length). The total number of possible words needed for FFP-k can range from 4 6 =4096 to 4 15 . We propose a simple improvement over the popular FFP method using only a typical word length of 3. A new method, called Trinucleotide Usage Profile (TUP), is proposed based only on the (relative) frequency distribution using non-overlapping windows of length 3. The total number of possible words needed for TUP is 4 3 =64, which is much less than the total count for the recommended optimal "resolution" for FFP. To build a phylogenetic tree, we propose first representing each of the species by a TUP vector and then using an appropriate distance measure between pairs of the TUP vectors for the tree construction. In particular, we propose summarizing a DNA sequence by a matrix of three rows corresponding to three reading frames, recording the frequency distribution of the non-overlapping words of length 3 in each of the reading frame. We also provide a numerical measure for comparing trees constructed with various methods. Compared to the FFP method, our empirical study showed that the proposed TUP method is more capable of building phylogenetic trees with a stronger biological support. We further provide some justifications on this from the information theory viewpoint. Unlike the FFP method, the TUP method takes the advantage that the starting of the first reading frame is (usually) known. Without this information, the FFP method could only rely on the frequency distribution of overlapping words, which is the average (or mixture) of the frequency distributions of three possible reading frames. Consequently, we show (from the entropy viewpoint) that the FFP procedure could dilute important gene information and therefore provides less accurate classification.

White Blood Cells, Neutrophils, and Reactive Oxygen Metabolites among Asymptomatic Subjects.

PubMed

Kotani, Kazuhiko; Sakane, Naoki

2012-06-01

Chronic inflammation and oxidative stress are associated with health and the disease status. The objective of the present study was to investigate the association among white blood cell (WBC) counts, neutrophil counts as a WBC subpopulation, and diacron reactive oxygen metabolites (d-ROMs) levels in an asymptomatic population. The clinical data, including general cardiovascular risk variables and high-sensitivity C-reactive protein (hs-CRP), were collected from 100 female subjects (mean age, 62 years) in outpatient clinics. The correlation of the d-ROMs with hs-CRP, WBC, and neutrophil counts was examined. The mean/median levels were WBC counts 5.9 × 10(9)/L, neutrophil counts 3.6 × 10(9)/L, hs-CRP 0.06 mg/dL, and d-ROMs 359 CURR U. A simple correlation analysis showed a significant positive correlation of the d-ROMs with the WBC counts, neutrophil counts, or hs-CRP levels. The correlation between d-ROMs and neutrophil counts (β = 0.22, P < 0.05), as well as that between d-ROMs and hs-CRP (β = 0.28, P < 0.01), remained significant and independent in a multiple linear regression analysis adjusted for other variables. A multiple linear regression analysis showed that WBC counts had only a positive correlation tendency to the d-ROMs. Neutrophils may be slightly but more involved in the oxidative stress status, as assessed by d-ROMs, in comparison to the overall WBC. Further studies are needed to clarify the biologic mechanism(s) of the observed relationship.

[Participation of Hungarians in the Elaboration of Principles of Genetics and of Biotehchnology].

PubMed

Sótonyi, Gergely

2015-01-01

It was in 1983 that Robert Bud, director of The Science Museum in London, made it public that the principles of biotechnology, and the term itself were first put into words by a Hungarian scientist, Károly Ereky (The use of life. A history of biotechnology. Cambridge - New York--Melbourne, Cambridge University Press, 1993). Károly Ereky stated that if raw material is used to produce consumer goods with the help of living organisms, the workflow data can be collected in biotechnology. He phrased the principles of biotechnology in his book published in German in 1919 called Biotechnology, ranking him among the world's greatest (Verlag Paul Parey, Berlin, 1919). In 1918 in Brno, three years before the birth of Mendel, count Imre Festetics formulated his theses in 4 points in his publication "Die genetische Gesetze der Natur" (Oekonomische Neuigkeiten und Verhandlungen. Brünn, 22: 169-170, 1819), using the word 'genetics' for the first time in the world. It was Vitezslav Orel, director of the Mendel Museum in Brno, who brought the attention of the world to this fact in 1989, based on the documents possessed by the Museum. The English scientist J.R. Wood published his new findings in 2001, accord- ing to which Festetics summarized his results in the form of four genetic laws well before Mendel, describing principles of the process of mutation and inheritance. Festetics provided evidence for the improvement of the stock by cross-breeding. He stated Mendel's second law on the importance of selection. He called attention to the priority of internal genetic fac- tors. Hungarians can rightly be proud of Károly Ereky (1878-1952) and count Imre Festetics (1764-1847).

Improved word comprehension in Global aphasia using a modified semantic feature analysis treatment.

PubMed

Munro, Philippa; Siyambalapitiya, Samantha

2017-01-01

Limited research has investigated treatment of single word comprehension in people with aphasia, despite numerous studies examining treatment of naming deficits. This study employed a single case experimental design to examine efficacy of a modified semantic feature analysis (SFA) therapy in improving word comprehension in an individual with Global aphasia, who presented with a semantically based comprehension impairment. Ten treatment sessions were conducted over a period of two weeks. Following therapy, the participant demonstrated improved comprehension of treatment items and generalisation to control items, measured by performance on a spoken word picture matching task. Improvements were also observed on other language assessments (e.g. subtests of WAB-R; PALPA subtest 47) and were largely maintained over a period of 12 weeks without further therapy. This study provides support for the efficacy of a modified SFA therapy in remediating single word comprehension in individuals with aphasia with a semantically based comprehension deficit.

Distinguishing fiction from non-fiction with complex networks

NASA Astrophysics Data System (ADS)

Larue, David M.; Carr, Lincoln D.; Jones, Linnea K.; Stevanak, Joe T.

2014-03-01

Complex Network Measures are applied to networks constructed from texts in English to demonstrate an initial viability in textual analysis. Texts from novels and short stories obtained from Project Gutenberg and news stories obtained from NPR are selected. Unique word stems in a text are used as nodes in an associated unweighted undirected network, with edges connecting words occurring within a certain number of words somewhere in the text. Various combinations of complex network measures are computed for each text's network. Fisher's Linear Discriminant analysis is used to build a parameter optimizing the ability to separate the texts according to their genre. Success rates in the 70% range for correctly distinguishing fiction from non-fiction were obtained using edges defined as within four words, using 400 word samples from 400 texts from each of the two genres with some combinations of measures such as the power-law exponents of degree distributions and clustering coefficients.

A diffusion decision model analysis of evidence variability in the lexical decision task.

PubMed

Tillman, Gabriel; Osth, Adam F; van Ravenzwaaij, Don; Heathcote, Andrew

2017-12-01

The lexical-decision task is among the most commonly used paradigms in psycholinguistics. In both the signal-detection theory and Diffusion Decision Model (DDM; Ratcliff, Gomez, & McKoon, Psychological Review, 111, 159-182, 2004) frameworks, lexical-decisions are based on a continuous source of word-likeness evidence for both words and non-words. The Retrieving Effectively from Memory model of Lexical-Decision (REM-LD; Wagenmakers et al., Cognitive Psychology, 48(3), 332-367, 2004) provides a comprehensive explanation of lexical-decision data and makes the prediction that word-likeness evidence is more variable for words than non-words and that higher frequency words are more variable than lower frequency words. To test these predictions, we analyzed five lexical-decision data sets with the DDM. For all data sets, drift-rate variability changed across word frequency and non-word conditions. For the most part, REM-LD's predictions about the ordering of evidence variability across stimuli in the lexical-decision task were confirmed.

Efficient automatic OCR word validation using word partial format derivation and language model

NASA Astrophysics Data System (ADS)

Chen, Siyuan; Misra, Dharitri; Thoma, George R.

2010-01-01

In this paper we present an OCR validation module, implemented for the System for Preservation of Electronic Resources (SPER) developed at the U.S. National Library of Medicine.1 The module detects and corrects suspicious words in the OCR output of scanned textual documents through a procedure of deriving partial formats for each suspicious word, retrieving candidate words by partial-match search from lexicons, and comparing the joint probabilities of N-gram and OCR edit transformation corresponding to the candidates. The partial format derivation, based on OCR error analysis, efficiently and accurately generates candidate words from lexicons represented by ternary search trees. In our test case comprising a historic medico-legal document collection, this OCR validation module yielded the correct words with 87% accuracy and reduced the overall OCR word errors by around 60%.

The online social self: an open vocabulary approach to personality.

PubMed

Kern, Margaret L; Eichstaedt, Johannes C; Schwartz, H Andrew; Dziurzynski, Lukasz; Ungar, Lyle H; Stillwell, David J; Kosinski, Michal; Ramones, Stephanie M; Seligman, Martin E P

2014-04-01

We present a new open language analysis approach that identifies and visually summarizes the dominant naturally occurring words and phrases that most distinguished each Big Five personality trait. Using millions of posts from 69,792 Facebook users, we examined the correlation of personality traits with online word usage. Our analysis method consists of feature extraction, correlational analysis, and visualization. The distinguishing words and phrases were face valid and provide insight into processes that underlie the Big Five traits. Open-ended data driven exploration of large datasets combined with established psychological theory and measures offers new tools to further understand the human psyche. © The Author(s) 2013.

Multiple brain networks underpinning word learning from fluent speech revealed by independent component analysis.

PubMed

López-Barroso, Diana; Ripollés, Pablo; Marco-Pallarés, Josep; Mohammadi, Bahram; Münte, Thomas F; Bachoud-Lévi, Anne-Catherine; Rodriguez-Fornells, Antoni; de Diego-Balaguer, Ruth

2015-04-15

Although neuroimaging studies using standard subtraction-based analysis from functional magnetic resonance imaging (fMRI) have suggested that frontal and temporal regions are involved in word learning from fluent speech, the possible contribution of different brain networks during this type of learning is still largely unknown. Indeed, univariate fMRI analyses cannot identify the full extent of distributed networks that are engaged by a complex task such as word learning. Here we used Independent Component Analysis (ICA) to characterize the different brain networks subserving word learning from an artificial language speech stream. Results were replicated in a second cohort of participants with a different linguistic background. Four spatially independent networks were associated with the task in both cohorts: (i) a dorsal Auditory-Premotor network; (ii) a dorsal Sensory-Motor network; (iii) a dorsal Fronto-Parietal network; and (iv) a ventral Fronto-Temporal network. The level of engagement of these networks varied through the learning period with only the dorsal Auditory-Premotor network being engaged across all blocks. In addition, the connectivity strength of this network in the second block of the learning phase correlated with the individual variability in word learning performance. These findings suggest that: (i) word learning relies on segregated connectivity patterns involving dorsal and ventral networks; and (ii) specifically, the dorsal auditory-premotor network connectivity strength is directly correlated with word learning performance. Copyright © 2015 Elsevier Inc. All rights reserved.

Linguistic analysis of communication in therapist-assisted internet-delivered cognitive behavior therapy for generalized anxiety disorder.

PubMed

Dirkse, Dale; Hadjistavropoulos, Heather D; Hesser, Hugo; Barak, Azy

2015-01-01

Therapist-assisted Internet-delivered cognitive behavior therapy (ICBT) involves elements of expressive writing through secure messaging with a therapist. Expressive writing has been associated with psychological and physical health benefits in past research; furthermore, certain linguistic dimensions in expressive writing have been identified as particularly beneficial to health, such as less frequent use of negative emotion words and greater use of positive emotion words. No research, to date, has analyzed linguistic dimensions in client communication over the course of therapist-assisted ICBT for individuals with symptoms of generalized anxiety. This naturalistic study examined messages sent to therapists during the course of ICBT using linguistic analysis, and explored covariation of word use with symptom improvement. Data were obtained from patients with symptoms of generalized anxiety (N = 59) who completed 12 modules of therapist-assisted ICBT and rated symptoms of anxiety, depression, and panic at the beginning of each module. Linguistic analysis categorized text submitted to therapists into different word categories. Results found that patients' use of negative emotion, anxiety, causation, and insight words reduced over the course of treatment, while past tense words increased. Furthermore, negative emotion words significantly covaried with symptom ratings over the course of treatment. While causal statements cannot be made, findings improve our understanding of patient communication in ICBT and suggest that the further study of linguistic dimensions as psychological indicators and the potential utility of expressive writing strategies in therapist-assisted ICBT may be worthwhile.

An Exploratory Analysis of Waterfront Force Protection Measures Using Simulation

DTIC Science & Technology

2002-03-01

LEFT BLANK 75 APPENDIX B. DESIGN POINT DATA Table 16. Design Point One Data breach - count leakers- count numberAv ailablePBs- mean numberInI...0.002469 0.006237 27.63104 7144.875 0.155223 76 Table 17. Design Point Two Data breach - count leakers- count numberAv ailablePBs- mean numberInI...0.001163 4.67E-12 29.80891 6393.874 0.188209 77 Table 18. Design Point Three Data breach - count leakers- count numberAv ailablePBs- mean

Sample to answer visualization pipeline for low-cost point-of-care blood cell counting

NASA Astrophysics Data System (ADS)

Smith, Suzanne; Naidoo, Thegaran; Davies, Emlyn; Fourie, Louis; Nxumalo, Zandile; Swart, Hein; Marais, Philip; Land, Kevin; Roux, Pieter

2015-03-01

We present a visualization pipeline from sample to answer for point-of-care blood cell counting applications. Effective and low-cost point-of-care medical diagnostic tests provide developing countries and rural communities with accessible healthcare solutions [1], and can be particularly beneficial for blood cell count tests, which are often the starting point in the process of diagnosing a patient [2]. The initial focus of this work is on total white and red blood cell counts, using a microfluidic cartridge [3] for sample processing. Analysis of the processed samples has been implemented by means of two main optical visualization systems developed in-house: 1) a fluidic operation analysis system using high speed video data to determine volumes, mixing efficiency and flow rates, and 2) a microscopy analysis system to investigate homogeneity and concentration of blood cells. Fluidic parameters were derived from the optical flow [4] as well as color-based segmentation of the different fluids using a hue-saturation-value (HSV) color space. Cell count estimates were obtained using automated microscopy analysis and were compared to a widely accepted manual method for cell counting using a hemocytometer [5]. The results using the first iteration microfluidic device [3] showed that the most simple - and thus low-cost - approach for microfluidic component implementation was not adequate as compared to techniques based on manual cell counting principles. An improved microfluidic design has been developed to incorporate enhanced mixing and metering components, which together with this work provides the foundation on which to successfully implement automated, rapid and low-cost blood cell counting tests.

Digital dream analysis: a revised method.

PubMed

Bulkeley, Kelly

2014-10-01

This article demonstrates the use of a digital word search method designed to provide greater accuracy, objectivity, and speed in the study of dreams. A revised template of 40 word search categories, built into the website of the Sleep and Dream Database (SDDb), is applied to four "classic" sets of dreams: The male and female "Norm" dreams of Hall and Van de Castle (1966), the "Engine Man" dreams discussed by Hobson (1988), and the "Barb Sanders Baseline 250" dreams examined by Domhoff (2003). A word search analysis of these original dream reports shows that a digital approach can accurately identify many of the same distinctive patterns of content found by previous investigators using much more laborious and time-consuming methods. The results of this study emphasize the compatibility of word search technologies with traditional approaches to dream content analysis. Copyright © 2014 Elsevier Inc. All rights reserved.

The Word Identification Test Battery: A New Approach to Mastery and the Assessment of Word Identification Skills. Report from the Project on Studies in Language: Reading and Communication.

ERIC Educational Resources Information Center

Johnson, Dale D.; And Others

The work reported culminates research by the Project on the Assessment and Analysis of Word Identification Skills in Reading. The Word Identification Test battery was designed for elementary school children, with attention to the major issues pertaining to skills mastery and assessment that are raised in the review of mastery learning. Five…

Can Learning a Foreign Language Foster Analytic Thinking?-Evidence from Chinese EFL Learners' Writings.

PubMed

Jiang, Jingyang; Ouyang, Jinghui; Liu, Haitao

2016-01-01

Language is not only the representation of thinking, but also shapes thinking. Studies on bilinguals suggest that a foreign language plays an important and unconscious role in thinking. In this study, a software-Linguistic Inquiry and Word Count 2007-was used to investigate whether the learning of English as a foreign language (EFL) can foster Chinese high school students' English analytic thinking (EAT) through the analysis of their English writings with our self-built corpus. It was found that: (1) learning English can foster Chinese learners' EAT. Chinese EFL learners' ability of making distinctions, degree of cognitive complexity and degree of thinking activeness have all improved along with the increase of their English proficiency and their age; (2) there exist differences in Chinese EFL learners' EAT and that of English native speakers, i. e. English native speakers are better in the ability of making distinctions and degree of thinking activeness. These findings suggest that the best EFL learners in high schools have gained native-like analytic thinking through six years' English learning and are able to switch their cognitive styles as needed.