Identifying missing dictionary entries with frequency-conserving context models

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Williams, Jake Ryland; Clark, Eric M.; Bagrow, James P.; Danforth, Christopher M.; Dodds, Peter Sheridan

2015-10-01

In an effort to better understand meaning from natural language texts, we explore methods aimed at organizing lexical objects into contexts. A number of these methods for organization fall into a family defined by word ordering. Unlike demographic or spatial partitions of data, these collocation models are of special importance for their universal applicability. While we are interested here in text and have framed our treatment appropriately, our work is potentially applicable to other areas of research (e.g., speech, genomics, and mobility patterns) where one has ordered categorical data (e.g., sounds, genes, and locations). Our approach focuses on the phrase (whether word or larger) as the primary meaning-bearing lexical unit and object of study. To do so, we employ our previously developed framework for generating word-conserving phrase-frequency data. Upon training our model with the Wiktionary, an extensive, online, collaborative, and open-source dictionary that contains over 100 000 phrasal definitions, we develop highly effective filters for the identification of meaningful, missing phrase entries. With our predictions we then engage the editorial community of the Wiktionary and propose short lists of potential missing entries for definition, developing a breakthrough, lexical extraction technique and expanding our knowledge of the defined English lexicon of phrases.

Missed opportunities for HPV immunization among young adult women

Science.gov (United States)

Oliveira, Carlos R.; Rock, Robert M.; Shapiro, Eugene D.; Xu, Xiao; Lundsberg, Lisbet; Zhang, Liye B.; Gariepy, Aileen; Illuzzi, Jessica L.; Sheth, Sangini S.

2018-01-01

BACKGROUND Despite the availability of a safe and efficacious vaccine against human papillomavirus, uptake of the vaccine in the United States is low. Missed clinical opportunities to recommend and to administer human papillomavirus vaccine are considered one of the most important reasons for its low uptake in adolescents; however, little is known about the frequency or characteristics of missed opportunities in the young adult (18–26 years of age) population. OBJECTIVE The objective of the study was to assess both the rates of and the factors associated with missed opportunities for human papillomavirus immunization among young adult women who attended an urban obstetrics and gynecology clinic. STUDY DESIGN In this cross-sectional study, medical records were reviewed for all women 18–26 years of age who were underimmunized (<3 doses) and who sought care from Feb. 1, 2013, to January 31, 2014, at an urban, hospital-based obstetrics and gynecology clinic. A missed opportunity for human papillomavirus immunization was defined as a clinic visit at which the patient was eligible to receive the vaccine and a dose was due but not administered. Multivariable logistic regression was used to test associations between sociodemographic variables and missed opportunities. RESULTS There were 1670 vaccine-eligible visits by 1241 underimmunized women, with a mean of 1.3 missed opportunities/person. During the study period, 833 of the vaccine eligible women (67.1%) had at least 1 missed opportunity. Overall, the most common types of visits during which a missed opportunity occurred were postpartum visits (17%) or visits for either sexually transmitted disease screening (21%) or contraception (33%). Of the patients with a missed opportunity, 26.5% had a visit at which an injectable medication or a different vaccine was administered. Women who identified their race as black had higher adjusted odds of having a missed opportunity compared with white women (adjusted odds ratio, 1

On a Comparison and Contrast of Sherlock Holmes And Miss Jane Marple

Institute of Scientific and Technical Information of China (English)

张豪若

2014-01-01

In the history of detective stories, Sherlock Holmes and Miss Jane Marple remain as two of the most prominent fig-ures. Focusing on the two detectives' images, personality traits, detective strategies as well as settings of the stories, this study ex-amines the grounds that magnetize readers.The purpose of this research is to inquire into readers' orientations to Sherlock Holm-es and Miss Jane Marple, and to investigate the causes for their views. To fulfill that purpose, a questionnaire was designed and dis-tributed. Sherlock Holmes and Miss Jane Marple prove themselves to be successful detectives. Both of them have distinct images and personality traits as well as plausible detective strategies. The settings, combining reality with imagination, also play a dispens-able role. Besides, reasons given by students who disbelieve that they are real persons fail to convince.

India’s AIDS response: the missing voices of persons with disabilities

Directory of Open Access Journals (Sweden)

Satendra Singh

2015-01-01

Full Text Available India has the third largest number of people living with HIV in the world. The UNAIDS Gap report has identified twelve risk groups that are especially vulnerable and have been left behind from the national AIDS response. Of these twelve, one is persons with disabilities. Disability is both a public health issue and a human rights issue; persons with disabilities are the world’s largest minority. Low awareness, sexual abuse, and lack of access to health services are the major reasons for people with disabilities being vulnerable. While the gap report is a landmark report, in that it compartmentalizes the risk groups, disability cannot be looked at in isolation. Since any of the other risk groups may include persons with disabilities, the issue is a complex one meriting greater attention. The National AIDS Control Organization has completely ignored this group of persons. To efficiently close the gap, an integrated and disability-inclusive HIV response is needed so that people with different types of disabilities, their caretakers, healthcare professionals and society are empowered to fight the collective battle against HIV/AIDS.

Fiches pratiques: Les comparatifs lavent plus blanc; Signe particulier: Belier; Avis de recherche; Mont de piete (Comparatively Speaking; The Sign of Aries; Missing Persons; Pawnshop).

Science.gov (United States)

Bourdet, Jean-Francois; And Others

1992-01-01

Four activities for the French language classroom are described. These include helping students discover comparative expressions by using advertisements; using horoscopes for teaching vocabulary; using a missing persons report as a source for intermediate to advanced level discussion, collective writing, and questions; and a video designed to…

Additional approaches to DNA typing of skeletal remains: the search for "missing" persons killed during the last dictatorship in Argentina.

Science.gov (United States)

Corach, D; Sala, A; Penacino, G; Iannucci, N; Bernardi, P; Doretti, M; Fondebrider, L; Ginarte, A; Inchaurregui, A; Somigliana, C; Turner, S; Hagelberg, E

1997-08-01

DNA typing techniques are among the most advanced tools for human identification and can contribute to the identification of poorly preserved skeletal remains. Ten thousand people are thought to have been killed during the last dictatorship in Argentina (1976-1983) and there are few official records on the identity of the victims or the location of burials. A mass grave containing 340 skeletons was excavated using archeological methods. A small number of individuals was identified by traditional forensic methods and one family group by mitochondrial DNA (mtDNA) analysis. Due to the lack of antemortem physical information on many of the victims, the application of molecular methods is imperative to speed up the identification process. We have tested two molecular screening methods, Y chromosome-specific short tandem repeats (DYS19, DYS385, DYS389 I, DYS389 II, DYS390, DYS391, DYS392, DYS393) and amplification of autosomal microsatellites using nested primers. These methods can complement solely matrilineal mtDNA sequence data in the identification of "missing" persons.

Development of a questionnaire for identifying driver's personal values in driving

NARCIS (Netherlands)

Shahab, Q.M.; Terken, J.M.B.; Eggen, J.H.; Terken, J.; Martens, M.; Mueller, C.; Healey, J.; Osswald, S.

2013-01-01

The speed behavior of drivers is influenced by their personal driving values. It is assumed that these personal values may differ between drivers. In this paper, we describe the development of the Personal Driving Values (PDV) questionnaire. The questionnaire is to be used as a means of identifying

The Missing Curriculum Link: Personal Financial Planning

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Neidermeyer, Adolph A.; Neidermeyer, Presha E.

2010-01-01

With increasing personal and business financial challenges facing today's professionals, we, as business school faculty, have a responsibility to offer the educational background that should enable rising professionals to successfully manage finances. Unfortunately, the results of a recent analysis of curriculum offerings in Personal Financial…

Identifying PTSD personality subtypes in a workplace trauma sample.

Science.gov (United States)

Sellbom, Martin; Bagby, R Michael

2009-10-01

The authors sought to identify personality clusters derived from the Minnesota Multiphasic Personality Inventory-2 (MMPI-2) Personality Psychopathology Five Scales in a sample of workplace claimants with posttraumatic stress disorder (PTSD). Three clusters--low pathology, internalizing, and externalizing were recovered similar to those obtained by M. W. Miller and colleagues (2003, 2004, 2007) in samples of combat veterans and sexual assault victims. Internalizers and externalizers scored comparably on measures of PTSD symptom severity, general distress, and negative affect. Internalizers were uniquely characterized by anhedonia and depressed mood; externalizers by antisocial behavior, substance abuse, and anger/aggression.

Missed opportunities to prevent tuberculosis in foreign-born persons, Connecticut, 2005-2008.

Science.gov (United States)

Guh, A; Sosa, L; Hadler, J L; Lobato, M N

2011-08-01

Factors that influence testing for latent tuberculosis infection (LTBI) among foreign-born persons in Connecticut are not well understood. To identify predictors for LTBI testing and challenges related to accessing health care among the foreign-born population in Connecticut. Foreign-born Connecticut residents with confirmed or suspected tuberculosis (TB) disease during June 2005-December 2008 were interviewed regarding health care access and immigration status. Predictors for self-reported testing for LTBI after US entry were determined. Of 161 foreign-born persons interviewed, 48% experienced TB disease within 5 years after arrival. One third (51/156) reported having undergone post-arrival testing for LTBI. Although those with established health care providers were more likely to have reported testing (aOR 4.49, 95%CI 1.48-13.62), only 43% of such persons were tested. Undocumented persons, the majority of whom lacked a provider (53%), were less likely than documented persons to have reported testing (aOR 0.20, 95%CI 0.06-0.67). Hispanic permanent residents (immigrants and refugees) and visitors (persons admitted temporarily) were more likely than non-Hispanics in the respective groups to have reported testing (OR 5.25, 95%CI 1.51-18.31 and OR 7.08, 95%CI 1.30-38.44, respectively). The self-reported rate of testing for LTBI among foreign-born persons in Connecticut with confirmed or suspected TB was low and differed significantly by ethnicity and immigration status. Strategies are needed to improve health care access for foreign-born persons and expand testing for LTBI, especially among non-Hispanic and undocumented populations.

Missing data in trauma registries: A systematic review.

Science.gov (United States)

Shivasabesan, Gowri; Mitra, Biswadev; O'Reilly, Gerard M

2018-03-30

Trauma registries play an integral role in trauma systems but their valid use hinges on data quality. The aim of this study was to determine, among contemporary publications using trauma registry data, the level of reporting of data completeness and the methods used to deal with missing data. A systematic review was conducted of all trauma registry-based manuscripts published from 01 January 2015 to current date (17 March 2017). Studies were identified by searching MEDLINE, EMBASE, and CINAHL using relevant subject headings and keywords. Included manuscripts were evaluated based on previously published recommendations regarding the reporting and discussion of missing data. Manuscripts were graded on their degree of characterization of such observations. In addition, the methods used to manage missing data were examined. There were 539 manuscripts that met inclusion criteria. Among these, 208 (38.6%) manuscripts did not mention data completeness and 88 (16.3%) mentioned missing data but did not quantify the extent. Only a handful (n = 26; 4.8%) quantified the 'missingness' of all variables. Most articles (n = 477; 88.5%) contained no details such as a comparison between patient characteristics in cohorts with and without missing data. Of the 331 articles which made at least some mention of data completeness, the method of managing missing data was unknown in 34 (10.3%). When method(s) to handle missing data were identified, 234 (78.8%) manuscripts used complete case analysis only, 18 (6.1%) used multiple imputation only and 34 (11.4%) used a combination of these. Most manuscripts using trauma registry data did not quantify the extent of missing data for any variables and contained minimal discussion regarding missingness. Out of the studies which identified a method of managing missing data, most used complete case analysis, a method that may bias results. The lack of standardization in the reporting and management of missing data questions the validity of

The Missing Curriculum in Physics Problem-Solving Education

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Williams, Mobolaji

2018-05-01

Physics is often seen as an excellent introduction to science because it allows students to learn not only the laws governing the world around them, but also, through the problems students solve, a way of thinking which is conducive to solving problems outside of physics and even outside of science. In this article, we contest this latter idea and argue that in physics classes, students do not learn widely applicable problem-solving skills because physics education almost exclusively requires students to solve well-defined problems rather than the less-defined problems which better model problem solving outside of a formal class. Using personal, constructed, and the historical accounts of Schrödinger's development of the wave equation and Feynman's development of path integrals, we argue that what is missing in problem-solving education is practice in identifying gaps in knowledge and in framing these knowledge gaps as questions of the kind answerable using techniques students have learned. We discuss why these elements are typically not taught as part of the problem-solving curriculum and end with suggestions on how to incorporate these missing elements into physics classes.

Missing paternal demographics: A novel indicator for identifying high risk population of adverse pregnancy outcomes

Directory of Open Access Journals (Sweden)

Wen Shi

2004-11-01

Full Text Available Abstract Background One of every 6 United Status birth certificates contains no information on fathers. There might be important differences in the pregnancy outcomes between mothers with versus those without partner information. The object of this study was to assess whether and to what extent outcomes in pregnant women who did not have partner information differ from those who had. Methods We carried out a population-based retrospective cohort study based on the registry data in the United States for the period of 1995–1997, which was a matched multiple birth file (only twins were included in the current analysis. We divided the study subjects into three groups according to the availability of partner information: available, partly missing, and totally missing. We compared the distribution of maternal characteristics, maternal morbidity, labor and delivery complications, obstetric interventions, preterm birth, fetal growth restriction, low birth weight, congenital anomalies, fetal death, neonatal death, post-neonatal death, and neonatal morbidity among three study groups. Results There were 304466 twins included in our study. Mothers whose partner's information was partly missing and (especially totally missing tended to be younger, of black race, unmarried, with less education, smoking cigarette during pregnancy, and with inadequate prenatal care. The rates of preterm birth, fetal growth restriction, low birth weight, Apgar score Conclusions Mothers whose partner's information was partly and (especially totally missing are at higher risk of adverse pregnant outcomes, and clinicians and public health workers should be alerted to this important social factor.

The SADI Personal Health Lens: A Web Browser-Based System for Identifying Personally Relevant Drug Interactions.

Science.gov (United States)

Vandervalk, Ben; McCarthy, E Luke; Cruz-Toledo, José; Klein, Artjom; Baker, Christopher J O; Dumontier, Michel; Wilkinson, Mark D

2013-04-05

The Web provides widespread access to vast quantities of health-related information that can improve quality-of-life through better understanding of personal symptoms, medical conditions, and available treatments. Unfortunately, identifying a credible and personally relevant subset of information can be a time-consuming and challenging task for users without a medical background. The objective of the Personal Health Lens system is to aid users when reading health-related webpages by providing warnings about personally relevant drug interactions. More broadly, we wish to present a prototype for a novel, generalizable approach to facilitating interactions between a patient, their practitioner(s), and the Web. We utilized a distributed, Semantic Web-based architecture for recognizing personally dangerous drugs consisting of: (1) a private, local triple store of personal health information, (2) Semantic Web services, following the Semantic Automated Discovery and Integration (SADI) design pattern, for text mining and identifying substance interactions, (3) a bookmarklet to trigger analysis of a webpage and annotate it with personalized warnings, and (4) a semantic query that acts as an abstract template of the analytical workflow to be enacted by the system. A prototype implementation of the system is provided in the form of a Java standalone executable JAR file. The JAR file bundles all components of the system: the personal health database, locally-running versions of the SADI services, and a javascript bookmarklet that triggers analysis of a webpage. In addition, the demonstration includes a hypothetical personal health profile, allowing the system to be used immediately without configuration. Usage instructions are provided. The main strength of the Personal Health Lens system is its ability to organize medical information and to present it to the user in a personalized and contextually relevant manner. While this prototype was limited to a single knowledge domain

The SADI Personal Health Lens: A Web Browser-Based System for Identifying Personally Relevant Drug Interactions

Science.gov (United States)

Vandervalk, Ben; McCarthy, E Luke; Cruz-Toledo, José; Klein, Artjom; Baker, Christopher J O; Dumontier, Michel

2013-01-01

Background The Web provides widespread access to vast quantities of health-related information that can improve quality-of-life through better understanding of personal symptoms, medical conditions, and available treatments. Unfortunately, identifying a credible and personally relevant subset of information can be a time-consuming and challenging task for users without a medical background. Objective The objective of the Personal Health Lens system is to aid users when reading health-related webpages by providing warnings about personally relevant drug interactions. More broadly, we wish to present a prototype for a novel, generalizable approach to facilitating interactions between a patient, their practitioner(s), and the Web. Methods We utilized a distributed, Semantic Web-based architecture for recognizing personally dangerous drugs consisting of: (1) a private, local triple store of personal health information, (2) Semantic Web services, following the Semantic Automated Discovery and Integration (SADI) design pattern, for text mining and identifying substance interactions, (3) a bookmarklet to trigger analysis of a webpage and annotate it with personalized warnings, and (4) a semantic query that acts as an abstract template of the analytical workflow to be enacted by the system. Results A prototype implementation of the system is provided in the form of a Java standalone executable JAR file. The JAR file bundles all components of the system: the personal health database, locally-running versions of the SADI services, and a javascript bookmarklet that triggers analysis of a webpage. In addition, the demonstration includes a hypothetical personal health profile, allowing the system to be used immediately without configuration. Usage instructions are provided. Conclusions The main strength of the Personal Health Lens system is its ability to organize medical information and to present it to the user in a personalized and contextually relevant manner. While this

Inroads into Equestrian Safety: Rider-Reported Factors Contributing to Horse-Related Accidents and Near Misses on Australian Roads

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Thompson, Kirrilly; Matthews, Chelsea

2015-01-01

Simple Summary Riding horses on roads can be dangerous, but little is known about accidents and near misses. To explore road safety issues amongst Australian equestrians, we conducted an online survey. More than half of all riders (52%) reported having experienced at least one accident or near miss in the 12 months prior to the survey, mostly attributed to speed. Whilst our findings confirmed factors identified overseas, we also identified issues around road rules, hand signals and road rage. This paper suggests strategies for improving the safety of horses, riders and other road users. Abstract Horse riding and horse-related interactions are inherently dangerous. When they occur on public roads, the risk profile of equestrian activities is complicated by interactions with other road users. Research has identified speed, proximity, visibility, conspicuity and mutual misunderstanding as factors contributing to accidents and near misses. However, little is known about their significance or incidence in Australia. To explore road safety issues amongst Australian equestrians, we conducted an online survey. More than half of all riders (52%) reported having experienced at least one accident or near miss in the 12 months prior to the survey. Whilst our findings confirm the factors identified overseas, we also identified issues around rider misunderstanding of road rules and driver misunderstanding of rider hand signals. Of particular concern, we also found reports of potentially dangerous rider-directed road rage. We identify several areas for potential safety intervention including (1) identifying equestrians as vulnerable road users and horses as sentient decision-making vehicles; (2) harmonising laws regarding passing horses; (3) mandating personal protective equipment; (4) improving road signage; (5) comprehensive data collection; (6) developing mutual understanding amongst road-users; (7) safer road design and alternative riding spaces; and (8) increasing investment

The quest of the human proteome and the missing proteins: digging deeper.

Science.gov (United States)

Reddy, Panga Jaipal; Ray, Sandipan; Srivastava, Sanjeeva

2015-05-01

Given the diverse range of transcriptional and post-transcriptional mechanisms of gene regulation, the estimates of the human proteome is likely subject to scientific surprises as the field of proteomics has gained momentum worldwide. In this regard, the establishment of the "Human Proteome Draft" using high-resolution mass spectrometry (MS), tissue microarrays, and immunohistochemistry by three independent research groups (laboratories of Pandey, Kuster, and Uhlen) accelerated the pace of proteomics research. The Chromosome Centric Human Proteome Project (C-HPP) has taken initiative towards the completion of the Human Proteome Project (HPP) so as to understand the proteomics correlates of common complex human diseases and biological diversity, not to mention person-to-person and population differences in response to drugs, nutrition, vaccines, and other health interventions and host-environment interactions. Although high-resolution MS-based and antibody microarray approaches have shown enormous promises, we are still unable to map the whole human proteome due to the presence of numerous "missing proteins." In December 2014, at the Indian Institute of Technology Bombay, Mumbai the 6(th) Annual Meeting of the Proteomics Society, India (PSI) and the International Proteomics Conference was held. As part of this interdisciplinary summit, a panel discussion session on "The Quest of the Human Proteome and Missing Proteins" was organized. Eminent scientists in the field of proteomics and systems biology, including Akhilesh Pandey, Gilbert S. Omenn, Mark S. Baker, and Robert L. Mortiz, shed light on different aspects of the human proteome drafts and missing proteins. Importantly, the possible reasons for the "missing proteins" in shotgun MS workflow were identified and debated by experts as low tissue expression, lack of enzymatic digestion site, or protein lost during extraction, among other contributing factors. To capture the missing proteins, the experts' collective

Using Person Fit Statistics to Detect Outliers in Survey Research

Directory of Open Access Journals (Sweden)

John M. Felt

2017-05-01

Full Text Available Context: When working with health-related questionnaires, outlier detection is important. However, traditional methods of outlier detection (e.g., boxplots can miss participants with “atypical” responses to the questions that otherwise have similar total (subscale scores. In addition to detecting outliers, it can be of clinical importance to determine the reason for the outlier status or “atypical” response.Objective: The aim of the current study was to illustrate how to derive person fit statistics for outlier detection through a statistical method examining person fit with a health-based questionnaire.Design and Participants: Patients treated for Cushing's syndrome (n = 394 were recruited from the Cushing's Support and Research Foundation's (CSRF listserv and Facebook page.Main Outcome Measure: Patients were directed to an online survey containing the CushingQoL (English version. A two-dimensional graded response model was estimated, and person fit statistics were generated using the Zh statistic.Results: Conventional outlier detections methods revealed no outliers reflecting extreme scores on the subscales of the CushingQoL. However, person fit statistics identified 18 patients with “atypical” response patterns, which would have been otherwise missed (Zh > |±2.00|.Conclusion: While the conventional methods of outlier detection indicated no outliers, person fit statistics identified several patients with “atypical” response patterns who otherwise appeared average. Person fit statistics allow researchers to delve further into the underlying problems experienced by these “atypical” patients treated for Cushing's syndrome. Annotated code is provided to aid other researchers in using this method.

Retention strategies and factors associated with missed visits among low income women at increased risk of HIV acquisition in the US (HPTN 064).

Science.gov (United States)

Haley, Danielle F; Lucas, Jonathan; Golin, Carol E; Wang, Jing; Hughes, James P; Emel, Lynda; El-Sadr, Wafaa; Frew, Paula M; Justman, Jessica; Adimora, Adaora A; Watson, Christopher Chauncey; Mannheimer, Sharon; Rompalo, Anne; Soto-Torres, Lydia; Tims-Cook, Zandraetta; Carter, Yvonne; Hodder, Sally L

2014-04-01

Women at high-risk for HIV acquisition often face challenges that hinder their retention in HIV prevention trials. These same challenges may contribute to missed clinical care visits among HIV-infected women. This article, informed by the Gelberg-Andersen Behavioral Model for Vulnerable Populations, identifies factors associated with missed study visits and describes the multifaceted retention strategies used by study sites. HPTN 064 was a multisite, longitudinal HIV seroincidence study in 10 US communities. Eligible women were aged 18-44 years, resided in a census tract/zipcode with high poverty and HIV prevalence, and self-reported ≥1 personal or sex partner behavior related to HIV acquisition. Multivariate analyses of predisposing (e.g., substance use) and enabling (e.g., unmet health care needs) characteristics, and study attributes (i.e., recruitment venue, time of enrollment) identified factors associated with missed study visits. Retention strategies included: community engagement; interpersonal relationship building; reduction of external barriers; staff capacity building; and external tracing. Visit completion was 93% and 94% at 6 and 12 months. Unstable housing and later date of enrollment were associated with increased likelihood of missed study visits. Black race, recruitment from an outdoor venue, and financial responsibility for children were associated with greater likelihood of attendance. Multifaceted retention strategies may reduce missed study visits. Knowledge of factors associated with missed visits may help to focus efforts.

Clustering with Missing Values: No Imputation Required

Science.gov (United States)

Wagstaff, Kiri

2004-01-01

Clustering algorithms can identify groups in large data sets, such as star catalogs and hyperspectral images. In general, clustering methods cannot analyze items that have missing data values. Common solutions either fill in the missing values (imputation) or ignore the missing data (marginalization). Imputed values are treated as just as reliable as the truly observed data, but they are only as good as the assumptions used to create them. In contrast, we present a method for encoding partially observed features as a set of supplemental soft constraints and introduce the KSC algorithm, which incorporates constraints into the clustering process. In experiments on artificial data and data from the Sloan Digital Sky Survey, we show that soft constraints are an effective way to enable clustering with missing values.

Handling missing values in the MDS-UPDRS.

Science.gov (United States)

Goetz, Christopher G; Luo, Sheng; Wang, Lu; Tilley, Barbara C; LaPelle, Nancy R; Stebbins, Glenn T

2015-10-01

This study was undertaken to define the number of missing values permissible to render valid total scores for each Movement Disorder Society Unified Parkinson's Disease Rating Scale (MDS-UPDRS) part. To handle missing values, imputation strategies serve as guidelines to reject an incomplete rating or create a surrogate score. We tested a rigorous, scale-specific, data-based approach to handling missing values for the MDS-UPDRS. From two large MDS-UPDRS datasets, we sequentially deleted item scores, either consistently (same items) or randomly (different items) across all subjects. Lin's Concordance Correlation Coefficient (CCC) compared scores calculated without missing values with prorated scores based on sequentially increasing missing values. The maximal number of missing values retaining a CCC greater than 0.95 determined the threshold for rendering a valid prorated score. A second confirmatory sample was selected from the MDS-UPDRS international translation program. To provide valid part scores applicable across all Hoehn and Yahr (H&Y) stages when the same items are consistently missing, one missing item from Part I, one from Part II, three from Part III, but none from Part IV can be allowed. To provide valid part scores applicable across all H&Y stages when random item entries are missing, one missing item from Part I, two from Part II, seven from Part III, but none from Part IV can be allowed. All cutoff values were confirmed in the validation sample. These analyses are useful for constructing valid surrogate part scores for MDS-UPDRS when missing items fall within the identified threshold and give scientific justification for rejecting partially completed ratings that fall below the threshold. © 2015 International Parkinson and Movement Disorder Society.

20 CFR 1010.300 - What processes are to be implemented to identify covered persons?

Science.gov (United States)

2010-04-01

... 20 Employees' Benefits 3 2010-04-01 2010-04-01 false What processes are to be implemented to identify covered persons? 1010.300 Section 1010.300 Employees' Benefits OFFICE OF THE ASSISTANT SECRETARY... processes to identify covered persons who physically access service delivery points or who access virtual...

Predictors of missed appointments in patients referred for congenital or pediatric cardiac magnetic resonance

Energy Technology Data Exchange (ETDEWEB)

Lu, Jimmy C.; Dorfman, Adam L. [C.S. Mott Children' s Hospital, Department of Pediatrics and Communicable Diseases, Division of Pediatric Cardiology, University of Michigan Health System, University of Michigan Congenital Heart Center, Ann Arbor, MI (United States); C.S. Mott Children' s Hospital, Department of Radiology, University of Michigan Health System, Section of Pediatric Radiology, Ann Arbor, MI (United States); Lowery, Ray; Yu, Sunkyung [C.S. Mott Children' s Hospital, Department of Pediatrics and Communicable Diseases, Division of Pediatric Cardiology, University of Michigan Health System, University of Michigan Congenital Heart Center, Ann Arbor, MI (United States); Ghadimi Mahani, Maryam [C.S. Mott Children' s Hospital, Department of Radiology, University of Michigan Health System, Section of Pediatric Radiology, Ann Arbor, MI (United States); Agarwal, Prachi P. [University of Michigan Health System, Department of Radiology, Division of Cardiothoracic Radiology, Ann Arbor, MI (United States)

2017-07-15

Congenital cardiac magnetic resonance is a limited resource because of scanner and physician availability. Missed appointments decrease scheduling efficiency, have financial implications and represent missed care opportunities. To characterize the rate of missed appointments and identify modifiable predictors. This single-center retrospective study included all patients with outpatient congenital or pediatric cardiac MR appointments from Jan. 1, 2014, through Dec. 31, 2015. We identified missed appointments (no-shows or same-day cancellations) from the electronic medical record. We obtained demographic and clinical factors from the medical record and assessed socioeconomic factors by U.S. Census block data by patient ZIP code. Statistically significant variables (P<0.05) were included into a multivariable analysis. Of 795 outpatients (median age 18.5 years, interquartile range 13.4-27.1 years) referred for congenital cardiac MR, a total of 91 patients (11.4%) missed appointments; 28 (3.5%) missed multiple appointments. Reason for missed appointment could be identified in only 38 patients (42%), but of these, 28 (74%) were preventable or could have been identified prior to the appointment. In multivariable analysis, independent predictors of missed appointments were referral by a non-cardiologist (adjusted odds ratio [AOR] 5.8, P=0.0002), referral for research (AOR 3.6, P=0.01), having public insurance (AOR 2.1, P=0.004), and having scheduled cardiac MR from November to April (AOR 1.8, P=0.01). Demographic factors can identify patients at higher risk for missing appointments. These data may inform initiatives to limit missed appointments, such as targeted education of referring providers and patients. Further data are needed to evaluate the efficacy of potential interventions. (orig.)

Facebook The Missing Manual

CERN Document Server

Veer, E

2011-01-01

Facebook's spreading about as far and fast as the Web itself: 500 million members and counting. But there's a world of fun packed into the site that most folks miss. With this bestselling guide, learn how to unlock Facebook's talents as personal website creator, souped-up address book, and bustling community forum. It's an eye-opening, timesaving tour, guaranteed to help you get the most out of your Facebook experience. Coverage includes: Get started, get connected. Signing up is easy, but the real payoff comes when you tap into networks of coworkers, classmates, and friends. Pick and choose

Using a measure of person-perception skills to identify outstanding home care workers.

Science.gov (United States)

Grosch, Kerry; Medvene, Louis; Walker, Diane

2011-01-01

This study involved university-community collaboration with an international home care company for the purpose of developing a tool to identify talented caregivers. Tested was the hypothesis that workers' ability to provide care in person-centered ways would be positively associated with their ability to describe others in complex ways--that is, their person-perception skills. Company coordinators functioning as supervisors used an innovative 10-item instrument to screen 554 home health aides for their person centeredness. The most and least person-centered workers were evaluated for their person-perception skills. Person centeredness was positively associated with the complexity of home care workers' descriptions of others.

Preventing treatment errors in radiotherapy by identifying and evaluating near misses and actual incidents

International Nuclear Information System (INIS)

Holmberg, Ola; McClean, Brendan

2002-01-01

The aim of this work is to study the effectiveness of a multilayered error prevention system by analysing both the near misses found at calculation-check stations and the actual treatment errors originating in the treatment preparation chain

Inroads into Equestrian Safety: Rider-Reported Factors Contributing to Horse-Related Accidents and Near Misses on Australian Roads

Directory of Open Access Journals (Sweden)

Kirrilly Thompson

2015-07-01

Full Text Available Horse riding and horse-related interactions are inherently dangerous. When they occur on public roads, the risk profile of equestrian activities is complicated by interactions with other road users. Research has identified speed, proximity, visibility, conspicuity and mutual misunderstanding as factors contributing to accidents and near misses. However, little is known about their significance or incidence in Australia. To explore road safety issues amongst Australian equestrians, we conducted an online survey. More than half of all riders (52% reported having experienced at least one accident or near miss in the 12 months prior to the survey. Whilst our findings confirm the factors identified overseas, we also identified issues around rider misunderstanding of road rules and driver misunderstanding of rider hand signals. Of particular concern, we also found reports of potentially dangerous rider-directed road rage. We identify several areas for potential safety intervention including (1 identifying equestrians as vulnerable road users and horses as sentient decision-making vehicles (2 harmonising laws regarding passing horses, (3 mandating personal protective equipment, (4 improving road signage, (5 comprehensive data collection, (6 developing mutual understanding amongst road-users, (7 safer road design and alternative riding spaces; and (8 increasing investment in horse-related safety initiatives.

Inroads into Equestrian Safety: Rider-Reported Factors Contributing to Horse-Related Accidents and Near Misses on Australian Roads.

Science.gov (United States)

Thompson, Kirrilly; Matthews, Chelsea

2015-07-22

Horse riding and horse-related interactions are inherently dangerous. When they occur on public roads, the risk profile of equestrian activities is complicated by interactions with other road users. Research has identified speed, proximity, visibility, conspicuity and mutual misunderstanding as factors contributing to accidents and near misses. However, little is known about their significance or incidence in Australia. To explore road safety issues amongst Australian equestrians, we conducted an online survey. More than half of all riders (52%) reported having experienced at least one accident or near miss in the 12 months prior to the survey. Whilst our findings confirm the factors identified overseas, we also identified issues around rider misunderstanding of road rules and driver misunderstanding of rider hand signals. Of particular concern, we also found reports of potentially dangerous rider-directed road rage. We identify several areas for potential safety intervention including (1) identifying equestrians as vulnerable road users and horses as sentient decision-making vehicles (2) harmonising laws regarding passing horses, (3) mandating personal protective equipment, (4) improving road signage, (5) comprehensive data collection, (6) developing mutual understanding amongst road-users, (7) safer road design and alternative riding spaces; and (8) increasing investment in horse-related safety initiatives.

Missed nursing care and its relationship with confidence in delegation among hospital nurses.

Science.gov (United States)

Saqer, Tahani J; AbuAlRub, Raeda F

2018-04-06

To (i) identify the types and reasons for missed nursing care among Jordanian hospital nurses; (ii) identify predictors of missed nursing care based on study variables; and (iii) examine the relationship between nurses' confidence in delegation and missed nursing care. Missed nursing care is a global concern for nurses and nurse administrators. Investigating the relation between the confidence in delegation and missed nursing care might help in designing strategies that enable nurses to minimise missed care and enhance quality of services. A correlational research design was used for this study. A convenience sample of 362 hospital nurses completed the missed nursing care survey, and confidence and intent to delegate scale. The results of the study revealed that ambulating and feeding patients on time, doing mouth care and attending interdisciplinary care conferences were the most frequent types of missed care. The mean score for missed nursing care was (2.78) on a scale from 1-5. The most prevalent reasons for missed care were "labour resources, followed by material resources, and then communication". Around 45% of the variation in the perceived level of "missed nursing care" was explained by background variables and perceived reasons for missed nursing. However, the relationship between confidence in delegation and missed care was insignificant. The results of this study add to the body of international literature on most prevalent types and reasons for missed nursing care in a different cultural context. Highlighting most prevalent reasons for missed nursing care could help nurse administrators in designing responsive strategies to eliminate or reduces such reasons. © 2018 John Wiley & Sons Ltd.

Missing money and missing markets: Reliability, capacity auctions and interconnectors

International Nuclear Information System (INIS)

Newbery, David

2016-01-01

In the energy trilemma of reliability, sustainability and affordability, politicians treat reliability as over-riding. The EU assumes the energy-only Target Electricity Model will deliver reliability but the UK argues that a capacity remuneration mechanism is needed. This paper argues that capacity auctions tend to over-procure capacity, exacerbating the missing money problem they were designed to address. The bias is further exacerbated by failing to address some of the missing market problems also neglected in the debate. It examines the case for, criticisms of, and outcome of the first GB capacity auction and problems of trading between different capacity markets. - Highlights: •Energy-only markets can work if they avoid missing money and missing market problems. •Policy makers over-estimate the cost of so-called “loss of load events”. •Policy makers tend to over-procure capacity, exacerbating the missing money problem. •Rectifying missing market problems simplifies trade between different capacity markets. •Addressing missing market problems makes under-procurement cheaper than over-procurement.

38 CFR 74.25 - What types of personally identifiable information will VA collect?

Science.gov (United States)

2010-07-01

... DEPARTMENT OF VETERANS AFFAIRS (CONTINUED) VETERANS SMALL BUSINESS REGULATIONS Records Management § 74.25 What types of personally identifiable information will VA collect? In order to establish owner... 38 Pensions, Bonuses, and Veterans' Relief 2 2010-07-01 2010-07-01 false What types of personally...

Facebook intrusion, fear of missing out, narcissism, and life satisfaction: A cross-sectional study.

Science.gov (United States)

Błachnio, Agata; Przepiórka, Aneta

2018-01-01

Facebook is one of the most popular social networking sites. The present paper examines the relations between fear of missing out, narcissism, Facebook intrusion, and life satisfaction. We hypothesized that the fear of missing out and narcissism would play a significant role in Facebook intrusion. The participants in the study were 360 Polish users of Facebook. We administered the Facebook Intrusion Scale, the Fear of Missing Out Scale, the Narcissistic Personality Inventory, and the Satisfaction with Life Scale. The results showed that a high level of fear of missing out and high narcissism are predictors of Facebook intrusion, while a low level of fear of missing out and high narcissism are related to satisfaction with life. Our findings provide a more comprehensive picture of the predictors of Facebook intrusion and reveal interesting patterns. Copyright © 2017 Elsevier B.V. All rights reserved.

Resident Reactions to Person-Centered Communication by Long-Term Care Staff.

Science.gov (United States)

Savundranayagam, Marie Y; Sibalija, Jovana; Scotchmer, Emma

2016-09-01

Long-term care staff caregivers who are person centered incorporate the life history, preferences, and feelings of residents with dementia during care interactions. Communication is essential for person-centered care. However, little is known about residents' verbal reactions when staff use person-centered communication. Accordingly, this study investigated the impact of person-centered communication and missed opportunities for such communication by staff on resident reactions. Conversations (N = 46) between staff-resident dyads were audio-recorded during routine care tasks over 12 weeks. Staff utterances were coded for person-centered communication and missed opportunities. Resident utterances were coded for positive reactions, such as cooperation, and negative reactions, such as distress. Linear regression analyses revealed that the more staff used person-centered communication, the more likely that residents reacted positively. Additionally, the more missed opportunities in a conversation, the more likely that the residents reacted negatively. Conversation illustrations elaborate on the quantitative findings and implications for staff training are discussed. © The Author(s) 2016.

Barriers to obstetric care among maternal near-misses | Soma-Pillay ...

African Journals Online (AJOL)

One hundred maternal near-misses were prospectively identified using the World Health Organization criteria. ... The above causes were also the most important factors causing delays for the leading causes of maternal near-misses – obstetric haemorrhage, hypertension/pre-eclampsia, and medical and surgical conditions.

BE-FAST (Balance, Eyes, Face, Arm, Speech, Time): Reducing the Proportion of Strokes Missed Using the FAST Mnemonic.

Science.gov (United States)

Aroor, Sushanth; Singh, Rajpreet; Goldstein, Larry B

2017-02-01

The FAST algorithm (Face, Arm, Speech, Time) helps identify persons having an acute stroke. We determined the proportion of patients with acute ischemic stroke not captured by FAST and evaluated a revised mnemonic. Records of all patients admitted to the University of Kentucky Stroke Center between January and December 2014 with a discharge International Classification of Diseases, Ninth Revision, Clinical Modification code for acute ischemic stroke were reviewed. Those misclassified, having missing National Institutes of Health Stroke Scale data, or were comatose or intubated were excluded. Presenting symptoms, demographics, and examination findings based on the National Institutes of Health Stroke Scale data were abstracted. Of 858 consecutive records identified, 736 met inclusion criteria; 14.1% did not have any FAST symptoms at presentation. Of these, 42% had gait imbalance or leg weakness, 40% visual symptoms, and 70% either symptom. With their addition, the proportion of stroke patients not identified was reduced to 4.4% (Pface weakness, arm weakness, or speech impairment on admission examination were considered in addition to a history of FAST symptoms, the proportion missed was reduced to 9.9% (P=0.0010). The proportion of stroke patients not identified was also reduced (2.6%) with the addition of a history of gait imbalance/leg weakness or visual symptoms (P<0.0001). Of patients with ischemic stroke with deficits potentially amenable to acute intervention, 14% are not identified using FAST. The inclusion of gait/leg and visual symptoms leads to a reduction in missed strokes. If validated in a prospective study, a revision of public educational programs may be warranted. © 2017 American Heart Association, Inc.

Principled Missing Data Treatments.

Science.gov (United States)

Lang, Kyle M; Little, Todd D

2018-04-01

We review a number of issues regarding missing data treatments for intervention and prevention researchers. Many of the common missing data practices in prevention research are still, unfortunately, ill-advised (e.g., use of listwise and pairwise deletion, insufficient use of auxiliary variables). Our goal is to promote better practice in the handling of missing data. We review the current state of missing data methodology and recent missing data reporting in prevention research. We describe antiquated, ad hoc missing data treatments and discuss their limitations. We discuss two modern, principled missing data treatments: multiple imputation and full information maximum likelihood, and we offer practical tips on how to best employ these methods in prevention research. The principled missing data treatments that we discuss are couched in terms of how they improve causal and statistical inference in the prevention sciences. Our recommendations are firmly grounded in missing data theory and well-validated statistical principles for handling the missing data issues that are ubiquitous in biosocial and prevention research. We augment our broad survey of missing data analysis with references to more exhaustive resources.

How physicians identify with predetermined personalities and links to perceived performance and wellness outcomes: a cross-sectional study.

Science.gov (United States)

Lemaire, Jane B; Wallace, Jean E

2014-11-29

Certain personalities are ascribed to physicians. This research aims to measure the extent to which physicians identify with three predetermined personalities (workaholic, Type A and control freak) and to explore links to perceptions of professional performance, and wellness outcomes. This is a cross-sectional study using a mail-out questionnaire sent to all practicing physicians (2957 eligible, 1178 responses, 40% response rate) in a geographical health region within a western Canadian province. Survey items were used to assess the extent to which participants felt they are somewhat of a workaholic, Type A and/or control freak, and if they believed that having these personalities makes one a better doctor. Participants' wellness outcomes were also measured. Zero-order correlations were used to determine the relationships between physicians identifying with a personality and feeling it makes one a better doctor. T-tests were used to compare measures of physician wellness for those who identified with the personality versus those who did not. 53% of participants identified with the workaholic personality, 62% with the Type A, and 36% with the control freak. Identifying with any one of the personalities was correlated with feeling it makes one a better physician. There were statistically significant differences in several wellness outcomes comparing participants who identified with the personalities versus those who did not. These included higher levels of emotional exhaustion (workaholic, Type A and control freak), higher levels of anxiety (Type A and control freak) and higher levels of depression, poorer mental health and lower levels of job satisfaction (control freak). Participants who identified with the workaholic personality versus those who did not reported higher levels of job satisfaction, rewarding patient experiences and career commitment. Most participants identified with at least one of the three personalities. The beliefs of some participants that

A Retrospective Study of the Incidence of Missed Opportunities in Identifying, Managing and Referring At-Risk of Overweight and Overweight Children and Adolescents in an Outpatient Primary Care Setting

National Research Council Canada - National Science Library

Quirke, Amy

2004-01-01

A descriptive study of the incidence of missed opportunities in identifying, managing and referring children and adolescents at-risk of overweight and overweight were conducted using a retrospective...

Reducing Misses and Near Misses Related to Multitasking on the Electronic Health Record: Observational Study and Qualitative Analysis.

Science.gov (United States)

Ratanawongsa, Neda; Matta, George Y; Bohsali, Fuad B; Chisolm, Margaret S

2018-02-06

Clinicians' use of electronic health record (EHR) systems while multitasking may increase the risk of making errors, but silent EHR system use may lower patient satisfaction. Delaying EHR system use until after patient visits may increase clinicians' EHR workload, stress, and burnout. We aimed to describe the perspectives of clinicians, educators, administrators, and researchers about misses and near misses that they felt were related to clinician multitasking while using EHR systems. This observational study was a thematic analysis of perspectives elicited from 63 continuing medical education (CME) participants during 2 workshops and 1 interactive lecture about challenges and strategies for relationship-centered communication during clinician EHR system use. The workshop elicited reflection about memorable times when multitasking EHR use was associated with "misses" (errors that were not caught at the time) or "near misses" (mistakes that were caught before leading to errors). We conducted qualitative analysis using an editing analysis style to identify codes and then select representative themes and quotes. All workshop participants shared stories of misses or near misses in EHR system ordering and documentation or patient-clinician communication, wondering about "misses we don't even know about." Risk factors included the computer's position, EHR system usability, note content and style, information overload, problematic workflows, systems issues, and provider and patient communication behaviors and expectations. Strategies to reduce multitasking EHR system misses included clinician transparency when needing silent EHR system use (eg, for prescribing), narrating EHR system use, patient activation during EHR system use, adapting visit organization and workflow, improving EHR system design, and improving team support and systems. CME participants shared numerous stories of errors and near misses in EHR tasks and communication that they felt related to EHR

Viruses as the causative agent related to 'dampness' and the missing link between allergen exposure and onset of allergic disease

DEFF Research Database (Denmark)

Hersoug, Lars-Georg

2005-01-01

concentration and symptoms indicate a missing link between allergen exposure and onset of asthma. Respiratory viruses have been identified in up to 85% cases of asthma or exacerbations of asthma. The missing link between respiratory diseases and humid indoor climates could therefore be attributed to viruses....... The infectious effectiveness of respiratory viruses depends strongly on the environment where the viruses are spread. For respiratory viruses, survival and infectivity are dependent on temperature and relative humidity. A direct link between virus-induced inflammation and the asthmatogenic process has been...... subjects. Therefore, a humid indoor climate could also represent a higher risk for persons already sensitized to one or more allergens. PRACTICAL IMPLICATIONS: In epidemiological studies where the relationship between moisture in the indoor climate, respiratory symptoms and exposure to allergens...

Maternal Near-Miss Due to Unsafe Abortion and Associated Short ...

African Journals Online (AJOL)

Abstract. Little is known about maternal near-miss (MNM) due to unsafe abortion in Nigeria. We used the WHO criteria to identify near-miss events and the proportion due to unsafe abortion among women of childbearing age in eight large secondary and tertiary hospitals across the six geo-political zones. We also explored ...

Impact of teamwork on missed care in four Australian hospitals.

Science.gov (United States)

Chapman, Rose; Rahman, Asheq; Courtney, Mary; Chalmers, Cheyne

2017-01-01

Investigate effects of teamwork on missed nursing care across a healthcare network in Australia. Missed care is universally used as an indicator of quality nursing care, however, little is known about mitigating effects of teamwork on these events. A descriptive exploratory study. Missed Care and Team Work surveys were completed by 334 nurses. Using Stata software, nursing staff demographic information and components of missed care and teamwork were compared across the healthcare network. Statistical tests were performed to identify predicting factors for missed care. The most commonly reported components of missed care were as follows: ambulation three times per day (43·3%), turning patient every two hours (29%) and mouth care (27·7%). The commonest reasons mentioned for missed care were as follows: inadequate labour resources (range 69·8-52·7%), followed by material resources (range 59·3-33·3%) and communication (range 39·3-27·2%). There were significant differences in missed care scores across units. Using the mean scores in regression correlation matrix, the negative relationship of missed care and teamwork was supported (r = -0·34, p teamwork alone accounted for about 9% of missed nursing care. Similar to previous international research findings, our results showed nursing teamwork significantly impacted on missed nursing care. Teamwork may be a mitigating factor to address missed care and future research is needed. These results may provide administrators, educators and clinicians with information to develop practices and policies to improve patient care internationally. © 2016 John Wiley & Sons Ltd.

A Bayesian method for identifying missing enzymes in predicted metabolic pathway databases

Directory of Open Access Journals (Sweden)

Karp Peter D

2004-06-01

Full Text Available Abstract Background The PathoLogic program constructs Pathway/Genome databases by using a genome's annotation to predict the set of metabolic pathways present in an organism. PathoLogic determines the set of reactions composing those pathways from the enzymes annotated in the organism's genome. Most annotation efforts fail to assign function to 40–60% of sequences. In addition, large numbers of sequences may have non-specific annotations (e.g., thiolase family protein. Pathway holes occur when a genome appears to lack the enzymes needed to catalyze reactions in a pathway. If a protein has not been assigned a specific function during the annotation process, any reaction catalyzed by that protein will appear as a missing enzyme or pathway hole in a Pathway/Genome database. Results We have developed a method that efficiently combines homology and pathway-based evidence to identify candidates for filling pathway holes in Pathway/Genome databases. Our program not only identifies potential candidate sequences for pathway holes, but combines data from multiple, heterogeneous sources to assess the likelihood that a candidate has the required function. Our algorithm emulates the manual sequence annotation process, considering not only evidence from homology searches, but also considering evidence from genomic context (i.e., is the gene part of an operon? and functional context (e.g., are there functionally-related genes nearby in the genome? to determine the posterior belief that a candidate has the required function. The method can be applied across an entire metabolic pathway network and is generally applicable to any pathway database. The program uses a set of sequences encoding the required activity in other genomes to identify candidate proteins in the genome of interest, and then evaluates each candidate by using a simple Bayes classifier to determine the probability that the candidate has the desired function. We achieved 71% precision at a

Brief Report: Using the Internet to Identify Persons with Cognitive Impairment for Participation in Clinical Trials

Directory of Open Access Journals (Sweden)

Lindsay F. Morra

2017-04-01

Full Text Available Identifying, recruiting, and enrolling persons in clinical trials of dementia treatments is extremely difficult. One approach to first-wave screening of potential participants is the use of online assessment tools. Initial studies using the Dementia Risk Assessment (DRA—which includes a previously validated recognition memory test—support the use of this self-administered assessment to identify individuals with “suspected MCI” or “suspected dementia.” In this study, we identified between 71 and 622 persons with suspected dementia and between 128 and 1653 persons with suspected mild cognitive impairment (depending on specific criteria over the course of 22 months. Assessment tools that can inexpensively and easily identify individuals with higher than average risk for cognitive impairment can facilitate recruitment for large-scale clinical trials for dementia treatments.

Maternal Near-Miss: A Multicenter Surveillance in Kathmandu Valley

Directory of Open Access Journals (Sweden)

Ashma Rana

2013-06-01

Full Text Available Introduction: Multicenter surveillance has been carried out on maternal near-miss in the hospitals with sentinel units. Near-miss is recognized as the predictor of level of care and maternal death. Reducing maternal mortality ratio is one of the challenges to achieve Millennium Development Goal. Objective was to determine the frequency and the nature of near-miss (severe acute maternal morbidity events and analysis of near-miss morbidities among pregnant women. Methods: Prospective surveillance was done for a year in 2012 in nine hospitals in Kathmandu valley. Cases eligible by definition recorded as a census based on WHO near-miss guideline. Similar questionnaire and dummy tables were used to present the result by non-inferential statistics. Results: Out of 157 cases identified with near-miss rate of 3.8, severe complications were PPH (40% and preeclampsia-eclampsia (17%. Blood transfusion (65%, ICU admission (54% and surgery (32% were the common critical intervention. Oxytocin was the main uterotonic used both prophylactically (86% and therapeutically (76%, and 19% arrived health facility after delivery or abortion. MgSO4 was used in all cases of eclampsia. All of the laparotomies were performed within 3 hours of arrival. Near-miss to mortality ratio was 6:1 and MMR 62. Conclusions: Study result yields similar pattern amongst developing countries and same near-miss conditions as the causes of maternal death reported by national statistics. Process indicators qualify the recommended standard of care. The near-miss event can be used as a surrogate marker of maternal death and a window for system level intervention. Keywords: abortion, eclampsia, hemorrhage, near-miss, surveillance

Identifying and Responding to Personal Stressors: Utilizing Photo Elicitation in Health Education Courses

Science.gov (United States)

Hunter, Theresa

2014-01-01

The "Photo Elicitation Project" teaching idea applies the techniques of photo elicitation to stress prevention and management. This activity is designed to help students identify their personal stressors and to determine which stress prevention strategies are most useful for them. Objectives: students will be able to (a) identify current…

Incidence and Correlates of Maternal Near Miss in Southeast Iran

Directory of Open Access Journals (Sweden)

Tayebeh Naderi

2015-01-01

Full Text Available This prospective study aimed to estimate the incidence and associated factors of severe maternal morbidity in southeast Iran. During a 9-month period in 2013, all women referring to eight hospitals for termination of pregnancy as well as women admitted during 42 days after the termination of pregnancy were enrolled into the study. Maternal near miss conditions were defined based on Say et al.’s recommendations. Five hundred and one cases of maternal near miss and 19,908 live births occurred in the study period, yielding a maternal near miss ratio of 25.2 per 1000 live births. This rate was 7.5 and 105 per 1000 in private and tertiary care settings, respectively. The rate of maternal death in near miss cases was 0.40% with a case:fatality ratio of 250 : 1. The most prevalent causes of near miss were severe preeclampsia (27.3%, ectopic pregnancy (18.4%, and abruptio placentae (16.2%. Higher age, higher education, and being primiparous were associated with a higher risk of near miss. Considering the high rate of maternal near miss in referral hospitals, maternal near miss surveillance system should be set up in these hospitals to identify cases of severe maternal morbidity as soon as possible.

A systematic review of missed opportunities for improving tuberculosis and HIV/AIDS control in Sub-saharan Africa: what is still missed by health experts?

Science.gov (United States)

Keugoung, Basile; Fouelifack, Florent Ymele; Fotsing, Richard; Macq, Jean; Meli, Jean; Criel, Bart

2014-01-01

In sub-Saharan Africa, HIV/AIDS and tuberculosis are major public health problems. In 2010, 64% of the 34 million of people infected with HIV were reported to be living in sub-Saharan Africa. Only 41% of eligible HIV-positive people had access to antiretroviral therapy (ART). Regarding tuberculosis, in 2010, the region had 12% of the world's population but reported 26% of the 8.8 million incident cases and 254000 tuberculosis-related deaths. This paper aims to review missed opportunities for improving HIV/AIDS and tuberculosis prevention and care. We conducted a systematic review in PubMed using the terms 'missed'(Title) AND 'opportunities'(Title). We included systematic review and original research articles done in sub-Saharan Africa on missed opportunities in HIV/AIDS and/or tuberculosis care. Missed opportunities for improving HIV/AIDS and/or tuberculosis care can be classified into five categories: i) patient and community; ii) health professional; iii) health facility; iv) local health system; and v) vertical programme (HIV/AIDS and/or tuberculosis control programmes). None of the reviewed studies identified any missed opportunities related to health system strengthening. Opportunities that are missed hamper tuberculosis and/or HIV/AIDS care in sub-Saharan Africa where health systems remain weak. What is still missing in the analysis of health experts is the acknowledgement that opportunities that are missed to strengthen health systems also undermine tuberculosis and HIV/AIDS prevention and care. Studying why these opportunities are missed will help to understand the rationales behind the missed opportunities, and customize adequate strategies to seize them and for effective diseases control.

Obtaining subjects' consent to publish identifying personal information: current practices and identifying potential issues.

Science.gov (United States)

Yoshida, Akiko; Dowa, Yuri; Murakami, Hiromi; Kosugi, Shinji

2013-11-25

In studies publishing identifying personal information, obtaining consent is regarded as necessary, as it is impossible to ensure complete anonymity. However, current journal practices around specific points to consider when obtaining consent, the contents of consent forms and how consent forms are managed have not yet been fully examined. This study was conducted to identify potential issues surrounding consent to publish identifying personal information. Content analysis was carried out on instructions for authors and consent forms developed by academic journals in four fields (as classified by Journal Citation Reports): medicine general and internal, genetics and heredity, pediatrics, and psychiatry. An online questionnaire survey of editors working for journals that require the submission of consent forms was also conducted. Instructions for authors were reviewed for 491 academic journals (132 for medicine general and internal, 147 for genetics and heredity, 100 for pediatrics, and 112 for psychiatry). Approximately 40% (203: 74 for medicine general and internal, 31 for genetics and heredity, 58 for pediatrics, and 40 for psychiatry) stated that subject consent was necessary. The submission of consent forms was required by 30% (154) of the journals studied, and 10% (50) provided their own consent forms for authors to use. Two journals mentioned that the possible effects of publication on subjects should be considered. Many journal consent forms mentioned the difficulties in ensuring complete anonymity of subjects, but few addressed the study objective, the subjects' right to refuse consent and the withdrawal of consent. The main reason for requiring the submission of consent forms was to confirm that consent had been obtained. Approximately 40% of journals required subject consent to be obtained. However, differences were observed depending on the fields. Specific considerations were not always documented. There is a need to address issues around the study

Obtaining subjects’ consent to publish identifying personal information: current practices and identifying potential issues

Science.gov (United States)

2013-01-01

Background In studies publishing identifying personal information, obtaining consent is regarded as necessary, as it is impossible to ensure complete anonymity. However, current journal practices around specific points to consider when obtaining consent, the contents of consent forms and how consent forms are managed have not yet been fully examined. This study was conducted to identify potential issues surrounding consent to publish identifying personal information. Methods Content analysis was carried out on instructions for authors and consent forms developed by academic journals in four fields (as classified by Journal Citation Reports): medicine general and internal, genetics and heredity, pediatrics, and psychiatry. An online questionnaire survey of editors working for journals that require the submission of consent forms was also conducted. Results Instructions for authors were reviewed for 491 academic journals (132 for medicine general and internal, 147 for genetics and heredity, 100 for pediatrics, and 112 for psychiatry). Approximately 40% (203: 74 for medicine general and internal, 31 for genetics and heredity, 58 for pediatrics, and 40 for psychiatry) stated that subject consent was necessary. The submission of consent forms was required by 30% (154) of the journals studied, and 10% (50) provided their own consent forms for authors to use. Two journals mentioned that the possible effects of publication on subjects should be considered. Many journal consent forms mentioned the difficulties in ensuring complete anonymity of subjects, but few addressed the study objective, the subjects’ right to refuse consent and the withdrawal of consent. The main reason for requiring the submission of consent forms was to confirm that consent had been obtained. Conclusion Approximately 40% of journals required subject consent to be obtained. However, differences were observed depending on the fields. Specific considerations were not always documented. There is a need

Gut Bacteria Missing in Severe Acute Malnutrition, Can We Identify Potential Probiotics by Culturomics?

Directory of Open Access Journals (Sweden)

Maryam Tidjani Alou

2017-05-01

Full Text Available Severe acute malnutrition is the world-leading cause of children under-five's death. Recent metagenomics studies have established a link between gut microbiota and severe acute malnutrition, describing an immaturity with a striking depletion in oxygen-sensitive prokaryotes. Amoxicillin and therapeutic diet cure most of the children with severe acute malnutrition but an irreversible disruption of the gut microbiota is suspected in the refractory and most severe cases. In these cases, therapeutic diet may be unable to reverse the microbiota alteration leading to persistent impaired development or death. In addition, as enteric sepsis is a major cause of death in this context, identification of missing gut microbes to be tested as probiotics (live bacteria that confer a benefit to the host to restore rapidly the healthy gut microbiota and prevent the gut pathogenic invasion is of foremost importance. In this study, stool samples of malnourished patients with kwashiorkor and healthy children were collected from Niger and Senegal and analyzed by culturomics and metagenomics. We found a globally decreased diversity, a decrease in the hitherto unknown diversity (new species isolation, a depletion in oxygen-sensitive prokaryotes including Methanobrevibacter smithii and an enrichment in potentially pathogenic Proteobacteria, Fusobacteria and Streptococcus gallolyticus. A complex of 12 species identified only in healthy children using culturomics and metagenomics were identified as probiotics candidates, providing a possible, defined, reproducible, safe, and convenient alternative to fecal transplantation to restore a healthy gut microbiota in malnourished children. Microbiotherapy based on selected strains has the potential to improve the current treatment of severe acute malnutrition and prevent relapse and death by reestablishing a healthy gut microbiota.

Missing value imputation for epistatic MAPs

LENUS (Irish Health Repository)

Ryan, Colm

2010-04-20

Abstract Background Epistatic miniarray profiling (E-MAPs) is a high-throughput approach capable of quantifying aggravating or alleviating genetic interactions between gene pairs. The datasets resulting from E-MAP experiments typically take the form of a symmetric pairwise matrix of interaction scores. These datasets have a significant number of missing values - up to 35% - that can reduce the effectiveness of some data analysis techniques and prevent the use of others. An effective method for imputing interactions would therefore increase the types of possible analysis, as well as increase the potential to identify novel functional interactions between gene pairs. Several methods have been developed to handle missing values in microarray data, but it is unclear how applicable these methods are to E-MAP data because of their pairwise nature and the significantly larger number of missing values. Here we evaluate four alternative imputation strategies, three local (Nearest neighbor-based) and one global (PCA-based), that have been modified to work with symmetric pairwise data. Results We identify different categories for the missing data based on their underlying cause, and show that values from the largest category can be imputed effectively. We compare local and global imputation approaches across a variety of distinct E-MAP datasets, showing that both are competitive and preferable to filling in with zeros. In addition we show that these methods are effective in an E-MAP from a different species, suggesting that pairwise imputation techniques will be increasingly useful as analogous epistasis mapping techniques are developed in different species. We show that strongly alleviating interactions are significantly more difficult to predict than strongly aggravating interactions. Finally we show that imputed interactions, generated using nearest neighbor methods, are enriched for annotations in the same manner as measured interactions. Therefore our method potentially

Striatal connectivity changes following gambling wins and near-misses: Associations with gambling severity

NARCIS (Netherlands)

Holst, R.J. van; Chase, H.W.; Clark, L.

2014-01-01

Frontostriatal circuitry is implicated in the cognitive distortions associated with gambling behaviour. 'Near-miss' events, where unsuccessful outcomes are proximal to a jackpot win, recruit overlapping neural circuitry with actual monetary wins. Personal control over a gamble (e.g., via choice) is

Factors influencing the missed nursing care in patients from a private hospital

Directory of Open Access Journals (Sweden)

Raúl Hernández-Cruz

Full Text Available ABSTRACT Objective: to determine the factors that influence the missed nursing care in hospitalized patients. Methods: descriptive correlational study developed at a private hospital in Mexico. To identify the missed nursing care and related factors, the MISSCARE survey was used, which measures the care missed and associated factors. The care missed and the factors were grouped in global and dimension rates. For the analysis, descriptive statistics, Spearman’s correlation and simple linear regression were used. Approval for the study was obtained from the ethics committee. Results: the participants were 71 nurses from emergency, intensive care and inpatient services. The global missed care index corresponded to M=7.45 (SD=10.74; the highest missed care index was found in the dimension basic care interventions (M=13.02, SD=17.60. The main factor contributing to the care missed was human resources (M=56.13, SD=21.38. The factors related to the care missed were human resources (rs=0.408, p<0.001 and communication (rs=0.418, p<0.001. Conclusions: the nursing care missed is mainly due to the human resource factor; these study findings will permit the strengthening of nursing care continuity.

Protannotator: a semiautomated pipeline for chromosome-wise functional annotation of the "missing" human proteome.

Science.gov (United States)

Islam, Mohammad T; Garg, Gagan; Hancock, William S; Risk, Brian A; Baker, Mark S; Ranganathan, Shoba

2014-01-03

The chromosome-centric human proteome project (C-HPP) aims to define the complete set of proteins encoded in each human chromosome. The neXtProt database (September 2013) lists 20,128 proteins for the human proteome, of which 3831 human proteins (∼19%) are considered "missing" according to the standard metrics table (released September 27, 2013). In support of the C-HPP initiative, we have extended the annotation strategy developed for human chromosome 7 "missing" proteins into a semiautomated pipeline to functionally annotate the "missing" human proteome. This pipeline integrates a suite of bioinformatics analysis and annotation software tools to identify homologues and map putative functional signatures, gene ontology, and biochemical pathways. From sequential BLAST searches, we have primarily identified homologues from reviewed nonhuman mammalian proteins with protein evidence for 1271 (33.2%) "missing" proteins, followed by 703 (18.4%) homologues from reviewed nonhuman mammalian proteins and subsequently 564 (14.7%) homologues from reviewed human proteins. Functional annotations for 1945 (50.8%) "missing" proteins were also determined. To accelerate the identification of "missing" proteins from proteomics studies, we generated proteotypic peptides in silico. Matching these proteotypic peptides to ENCODE proteogenomic data resulted in proteomic evidence for 107 (2.8%) of the 3831 "missing proteins, while evidence from a recent membrane proteomic study supported the existence for another 15 "missing" proteins. The chromosome-wise functional annotation of all "missing" proteins is freely available to the scientific community through our web server (http://biolinfo.org/protannotator).

26 CFR 301.7609-2 - Notification of persons identified in third-party summonses.

Science.gov (United States)

2010-04-01

... records of the business transactions or affairs of a person identified in the summons have been made or... through intimidation, bribery, or collusion, or to flee to avoid prosecution, testifying, or production of...

Identifying the Dominant Personality Profiles in Medical Students: Implications for Their Well-Being and Resilience.

Science.gov (United States)

Eley, Diann S; Leung, Janni; Hong, Barry A; Cloninger, Kevin M; Cloninger, C Robert

2016-01-01

There is a high prevalence of stress, depression, and burn-out in medical students. Medical students differ widely in personality traits, self-perceptions, and values that may have an impact on their well-being. This study aimed to investigate variability in their personality profiles in relation to their potential for well-being and resilience. Participants were 808 medical students from The University of Queensland. An online questionnaire collected socio-demographics and the Temperament and Character Inventory to assess personality traits. Latent profile analyses identified students' trait profiles. Two distinct personality profiles were identified. Profile 1 ("Resilient") characterized 60% of the sample and was distinguished by low Harm Avoidance combined with very high Persistence, Self-Directedness and Cooperativeness compared to Profile 2 ("Conscientious"). Both Profiles had average levels of Reward Dependence and Novelty Seeking and low levels of Self-Transcendence. Profiles did not differ by age, gender, or country of birth, but rural background students were more likely to have Profile 1. While both Profiles indicate mature and healthy personalities, the combination of traits in Profile 1 is more strongly indicative of well-being and resilience. Finding two distinct profiles of personality highlights the importance of considering combinations of traits and how they may interact with medical students' potential for well-being. Although both profiles of students show healthy personalities, many may lack the resilience to maintain well-being over years of medical training. Programs that develop character and personality self-awareness would enhance their well-being and prepare them to promote the health of their patients.

Diagnostic Laparoscopy for Trauma: How Not to Miss Injuries.

Science.gov (United States)

Koto, Modise Z; Matsevych, Oleh Y; Aldous, Colleen

2018-05-01

Diagnostic laparoscopy (DL) is a well-accepted approach for penetrating abdominal trauma (PAT). However, the steps of procedure and the systematic laparoscopic examination are not clearly defined in the literature. The aim of this study was to clarify the definition of DL in trauma surgery by auditing DL performed for PAT at our institution, and to describe the strategies on how to avoid missed injuries. The data of patients managed with laparoscopy for PAT from January 2012 to December 2015 were retrospectively analyzed. The details of operative technique and strategies on how to avoid missed injuries were discussed. Out of 250 patients managed with laparoscopy for PAT, 113 (45%) patients underwent DL. Stab wounds sustained 94 (83%) patients. The penetration of the peritoneal cavity or retroperitoneum was documented in 67 (59%) of patients. Organ evisceration was present in 21 (19%) patients. Multiple injuries were present in 22% of cases. The chest was the most common associated injury. Two (1.8%) iatrogenic injuries were recorded. The conversion rate was 1.7% (2/115). The mean length of hospital stay was 4 days. There were no missed injuries. In the therapeutic laparoscopy (TL) group, DL was performed as the initial part and identified all injuries. There were no missed injuries in the TL group. The predetermined sequential steps of DL and the standard systematic examination of intraabdominal organs were described. DL is a feasible and safe procedure. It accurately identifies intraabdominal injuries. The selected use of preoperative imaging, adherence to the predetermined steps of procedure and the standard systematic laparoscopic examination will minimize the rate of missed injuries.

Semiparametric approach for non-monotone missing covariates in a parametric regression model

KAUST Repository

Sinha, Samiran

2014-02-26

Missing covariate data often arise in biomedical studies, and analysis of such data that ignores subjects with incomplete information may lead to inefficient and possibly biased estimates. A great deal of attention has been paid to handling a single missing covariate or a monotone pattern of missing data when the missingness mechanism is missing at random. In this article, we propose a semiparametric method for handling non-monotone patterns of missing data. The proposed method relies on the assumption that the missingness mechanism of a variable does not depend on the missing variable itself but may depend on the other missing variables. This mechanism is somewhat less general than the completely non-ignorable mechanism but is sometimes more flexible than the missing at random mechanism where the missingness mechansim is allowed to depend only on the completely observed variables. The proposed approach is robust to misspecification of the distribution of the missing covariates, and the proposed mechanism helps to nullify (or reduce) the problems due to non-identifiability that result from the non-ignorable missingness mechanism. The asymptotic properties of the proposed estimator are derived. Finite sample performance is assessed through simulation studies. Finally, for the purpose of illustration we analyze an endometrial cancer dataset and a hip fracture dataset.

Sources of patients’ knowledge on the treatment of missing teeth with implants

Directory of Open Access Journals (Sweden)

Szymanska Jolanta

2014-06-01

Full Text Available The number of patients who take the decision to have implantoprosthetic treatment keeps increasing. The aim of this study was to determine the sources of knowledge about possibilities of treating missing teeth with implants. The survey was conducted among 464 patients of both sexes aged from 20 to 74 years, treated with dental implants at the Non-Public Healthcare Centre “Dental” in Tomaszów Mazowiecki. The patients answered questions in an anonymous questionnaire. The questions included age, place of residence and source of knowledge about implants. Persons aged up to 40 years frequently obtained knowledge about the possibility of using implants from the media; patients aged 40-60 years - from their dentist, and people over 60 years of age - from family or friends. Persons living in rural areas or small town frequently acquired knowledge of the possibility of dental implants from the dentist, the city residents - from family or friends. The results of the survey indicate that the dentist is most commonly the main source of information about the possibility of replacing the missing teeth with implants, less family and friends and the media. The source of acquiring knowledge in this field varies depending on the age and place of residence of the persons concerned.

Diagnostic miss rate for colorectal cancer: an audit.

Science.gov (United States)

Than, Mary; Witherspoon, Jolene; Shami, Javed; Patil, Prachi; Saklani, Avanish

2015-01-01

Colorectal cancer (CRC) is a common cancer worldwide. While screening improves survival, avoiding delayed diagnosis in symptomatic patients is crucial. Computed tomographic colonography (CTC) or colonoscopy is recommended as first-line investigation and most societies recommend counseling patients undergoing colonoscopy about a miss rate of 5%. This audit evaluates "miss rate" of colorectal investigations, which have led to diagnostic delay in symptomatic cases in a district general hospital in the United Kingdom. This is a retrospective review of 150 consecutive CRC cases presenting between August 2010 and July 2011. Evidence of bowel investigations done in the 3 years prior to diagnosis was obtained from computerized health records. Data regarding previous bowel investigations such as colonoscopy, CTC, double contrast barium enema (DCBE), and CT abdomen/pelvis were collected. 6.7% cases were identified via screening pathway while 93% were identified through symptomatic pathway. 17% (26/150) of newly diagnosed CRC had been investigated in the preceding 3 years. Of these, 8% (12/150) had false negative results. The false negative rate for CRC diagnosis was 3.5% for colonoscopy (3/85), 6.7% for CTC (1/17), 9.4% for CT (5/53), and 26.7% for DCBE (4/15). Some patients had a missed diagnosis despite more than one diagnostic test. Time delay to diagnosis ranged from 21-456 days. 17% of patients diagnosed with CRC had been investigated in the previous 3 years. Higher miss rate of barium enema should preclude its use as a first-line modality to investigate CRC.

Medical surgical nurses describe missed nursing care tasks-Evaluating our work environment.

Science.gov (United States)

Winsett, Rebecca P; Rottet, Kendra; Schmitt, Abby; Wathen, Ellen; Wilson, Debra

2016-11-01

The purpose of the study was to explore the nurse work environment by evaluating the self-report of missed nursing care and the reasons for the missed care. A convenience sample of medical surgical nurses from four hospitals was invited to complete the survey for this descriptive study. The sample included 168 nurses. The MISSCARE survey assessed the frequency and reason of 24 routine nursing care elements. The most frequently reported missed care was ambulation as ordered, medications given within a 30 minute window, and mouth care. Moderate or significant reasons reported for the missed care were: unexpected rise in volume/acuity, heavy admissions/discharges, inadequate assistants, inadequate staff, meds not available when needed, and urgent situations. Identifying missed nursing care and reasons for missed care provides an opportunity for exploring strategies to reduce interruptions, develop unit cohesiveness, improve the nurse work environment, and ultimately leading to improved patient outcomes. Copyright © 2016 Elsevier Inc. All rights reserved.

iPad 2 The Missing Manual

CERN Document Server

Biersdorfer, JD

2011-01-01

With iOS 5, Apple added more than 200 new features to the iPad 2, but there's still no printed guide to using all its amazing capabilities. That's where this full-color Missing Manual comes in. You'll learn how to stuff your iPad with media, organize your personal life, wirelessly stream content to and from your tablet, stay connected to friends, and much more. The important stuff you need to know: Build your media library. Fill your iPad with music, movies, TV shows, eBooks, eMagazines, photos, and more.Go wireless. Sync content between your computer and iPad-no wires needed.Get online. Con

Preventing treatment errors in radiotherapy by identifying and evaluating near misses and actual incidents

LENUS (Irish Health Repository)

Holmberg, Ola

2002-06-01

When preparing radiation treatment, the prescribed dose and irradiation geometry must be translated into physical machine parameters. An error in the calculations or machine settings can negatively affect the intended treatment outcome. Analysing incidents originating in the treatment preparation chain makes it possible to find weak links and prevent treatment errors. The aim of this work is to study the effectiveness of a multilayered error prevention system by analysing both near misses and actual treatment errors.

Missing data in trial-based cost-effectiveness analysis: An incomplete journey.

Science.gov (United States)

Leurent, Baptiste; Gomes, Manuel; Carpenter, James R

2018-06-01

Cost-effectiveness analyses (CEA) conducted alongside randomised trials provide key evidence for informing healthcare decision making, but missing data pose substantive challenges. Recently, there have been a number of developments in methods and guidelines addressing missing data in trials. However, it is unclear whether these developments have permeated CEA practice. This paper critically reviews the extent of and methods used to address missing data in recently published trial-based CEA. Issues of the Health Technology Assessment journal from 2013 to 2015 were searched. Fifty-two eligible studies were identified. Missing data were very common; the median proportion of trial participants with complete cost-effectiveness data was 63% (interquartile range: 47%-81%). The most common approach for the primary analysis was to restrict analysis to those with complete data (43%), followed by multiple imputation (30%). Half of the studies conducted some sort of sensitivity analyses, but only 2 (4%) considered possible departures from the missing-at-random assumption. Further improvements are needed to address missing data in cost-effectiveness analyses conducted alongside randomised trials. These should focus on limiting the extent of missing data, choosing an appropriate method for the primary analysis that is valid under contextually plausible assumptions, and conducting sensitivity analyses to departures from the missing-at-random assumption. © 2018 The Authors Health Economics published by John Wiley & Sons Ltd.

Who’s Who at the Border? A rights-based approach to identifying human trafficking at international borders

Directory of Open Access Journals (Sweden)

Marika McAdam

2013-09-01

Full Text Available International borders are widely touted as bastions in the fight against trafficking in persons. This article acknowledges the important role border officials play in preventing human trafficking, but calls for expectations to be tempered by deference to the conceptual complexity of cross-border trafficking and the migration processes involved. The fact that many trafficked victims begin their journeys as irregular or smuggled migrants highlights the challenge posed to border officials in identifying trafficked persons among the people they encounter. Indicators of trafficking generally relate to the exploitation phase, leaving border officials with little guidance as to how persons vulnerable to trafficking can be accurately identified before any exploitation has occurred. Ultimately, this paper advocates a pragmatic rights-based approach in designating anti-trafficking functions to border officials. A rights-based approach to border control acknowledges the core work of border officials as being to uphold border integrity, while ensuring that their performance of this role does not jeopardise the rights of those they intercept nor result in missed opportunities for specialists to identify trafficked persons and other vulnerable people among them.

An adaptive functional regression-based prognostic model for applications with missing data

International Nuclear Information System (INIS)

Fang, Xiaolei; Zhou, Rensheng; Gebraeel, Nagi

2015-01-01

Most prognostic degradation models rely on a relatively accurate and comprehensive database of historical degradation signals. Typically, these signals are used to identify suitable degradation trends that are useful for predicting lifetime. In many real-world applications, these degradation signals are usually incomplete, i.e., contain missing observations. Often the amount of missing data compromises the ability to identify a suitable parametric degradation model. This paper addresses this problem by developing a semi-parametric approach that can be used to predict the remaining lifetime of partially degraded systems. First, key signal features are identified by applying Functional Principal Components Analysis (FPCA) to the available historical data. Next, an adaptive functional regression model is used to model the extracted signal features and the corresponding times-to-failure. The model is then used to predict remaining lifetimes and to update these predictions using real-time signals observed from fielded components. Results show that the proposed approach is relatively robust to significant levels of missing data. The performance of the model is evaluated and shown to provide significantly accurate predictions of residual lifetime using two case studies. - Highlights: • We model degradation signals with missing data with the goal of predicting remaining lifetime. • We examine two types of signal characteristics, fragmented and sparse. • We provide framework that updates remaining life predictions by incorporating real-time signal observations. • For the missing data, we show that the proposed model outperforms other benchmark models. • For the complete data, we show that the proposed model performs at least as good as a benchmark model

Pre-validation of the WHO organ dysfunction based criteria for identification of maternal near miss

Directory of Open Access Journals (Sweden)

Parpinelli Mary A

2011-08-01

Full Text Available Abstract Background To evaluate the performance of the WHO criteria for defining maternal near miss and identifying deaths among cases of severe maternal morbidity (SMM admitted for intensive care. Method Between October 2002 and September 2007, 673 women with SMM were admitted, and among them 18 died. Variables used for the definition of maternal near miss according to WHO criteria and for the SOFA score were retrospectively evaluated. The identification of at least one of the WHO criteria in women who did not die defined the case as a near miss. Organ failure was evaluated through the maximum SOFA score above 2 for each one of the six components of the score, being considered the gold standard for the diagnosis of maternal near miss. The aggregated score (Total Maximum SOFA score was calculated using the worst result of the maximum SOFA score. Sensitivity, specificity, positive and negative predictive values of these WHO criteria for predicting maternal death and also for identifying cases of organ failure were estimated. Results The WHO criteria identified 194 cases of maternal near miss and all the 18 deaths. The most prevalent criteria among cases of maternal deaths were the use of vasoactive drug and the use of mechanical ventilation (≥1 h. For the prediction of maternal deaths, sensitivity was 100% and specificity 70.4%. These criteria identified 119 of the 120 cases of organ failure by the maximum SOFA score (Sensitivity 99.2% among 194 case of maternal near miss (61.34%. There was disagreement in 76 cases, one organ failure without any WHO criteria and 75 cases with no failure but with WHO criteria. The Total Maximum SOFA score had a good performance (area under the curve of 0.897 for prediction of cases of maternal near miss according to the WHO criteria. Conclusions The WHO criteria for maternal near miss showed to be able to identify all cases of death and almost all cases of organ failure. Therefore they allow evaluation of the

Creating a web site the missing manual

CERN Document Server

MacDonald, Matthew

2008-01-01

Think you have to be a technical wizard to build a great web site? Think again. If you want to create an engaging web site, this thoroughly revised, completely updated edition of Creating a Web Site: The Missing Manual demystifies the process and provides tools, techniques, and expert guidance for developing a professional and reliable web presence. Whether you want to build a personal web site, an e-commerce site, a blog, or a web site for a specific occasion or promotion, this book gives you detailed instructions and clear-headed advice for: Everything from planning to launching. From pi

Competence Description for Personal Recommendations: The Importance of Identifying the Complexity of Learning and Performance Situations

Science.gov (United States)

Prins, Frans J.; Nadolski, Rob J.; Berlanga, Adriana J.; Drachsler, Hendrik; Hummel, Hans G. K.; Koper, Rob

2008-01-01

For competences development of learners and professionals, target competences and corresponding competence development opportunities have to be identified. Personal Recommender Systems (PRS) provide personal recommendations for learners aimed at finding and selecting learning activities that best match their needs. This article argues that a…

Collateral missing value imputation: a new robust missing value estimation algorithm for microarray data.

Science.gov (United States)

Sehgal, Muhammad Shoaib B; Gondal, Iqbal; Dooley, Laurence S

2005-05-15

Microarray data are used in a range of application areas in biology, although often it contains considerable numbers of missing values. These missing values can significantly affect subsequent statistical analysis and machine learning algorithms so there is a strong motivation to estimate these values as accurately as possible before using these algorithms. While many imputation algorithms have been proposed, more robust techniques need to be developed so that further analysis of biological data can be accurately undertaken. In this paper, an innovative missing value imputation algorithm called collateral missing value estimation (CMVE) is presented which uses multiple covariance-based imputation matrices for the final prediction of missing values. The matrices are computed and optimized using least square regression and linear programming methods. The new CMVE algorithm has been compared with existing estimation techniques including Bayesian principal component analysis imputation (BPCA), least square impute (LSImpute) and K-nearest neighbour (KNN). All these methods were rigorously tested to estimate missing values in three separate non-time series (ovarian cancer based) and one time series (yeast sporulation) dataset. Each method was quantitatively analyzed using the normalized root mean square (NRMS) error measure, covering a wide range of randomly introduced missing value probabilities from 0.01 to 0.2. Experiments were also undertaken on the yeast dataset, which comprised 1.7% actual missing values, to test the hypothesis that CMVE performed better not only for randomly occurring but also for a real distribution of missing values. The results confirmed that CMVE consistently demonstrated superior and robust estimation capability of missing values compared with other methods for both series types of data, for the same order of computational complexity. A concise theoretical framework has also been formulated to validate the improved performance of the CMVE

Identifying the key concerns of Irish persons with intellectual disability.

Science.gov (United States)

García Iriarte, Edurne; O'Brien, Patricia; McConkey, Roy; Wolfe, Marie; O'Doherty, Siobhain

2014-11-01

Internationally, people with intellectual disability are socially marginalized, and their rights under the United Nations Convention for the Rights of Persons with Disabilities (CRPD) are often ignored. This paper aims to define the key concerns of adults with an intellectual disability in relation to their participation in society using an inclusive research strategy for both data gathering and data analysis. A national study involving 23 focus groups and 168 persons was conducted on the island of Ireland with people with intellectual disability as co-facilitators. A thematic content analysis was undertaken of the verbatim transcripts initially by university co-researchers, and 19 themes were identified. Co-researchers with intellectual disability joined in identifying the eight core themes. These were as follows: living options, employment, relationships, citizenship, leisure time, money management, self-advocacy, and communication. The concerns are discussed within the framework of the CRPD, and implications for transforming service policy are drawn. Why we did the research In many countries, people with intellectual disability have difficulties doing things other people without disabilities do, for example to study, to get a job or to live independently. They also find that their rights are not respected under the Convention on the Rights of Persons with Disabilities (the Convention). We did this study to Learn what are the main issues for adults with intellectual disability in Ireland. Do research with people with intellectual disability. How we did the research People with intellectual disability and their supporters worked with university researchers to plan and do the research. We met with people in groups and 168 people told us about things important to them. What we found out We found that there were very important things that people talked about in the groups. We chose the most important: living options, employment, relationships, rights, leisure, money

Dentistry to the rescue of missing children: A review

Science.gov (United States)

Vij, Nitika; Kochhar, Gulsheen Kaur; Chachra, Sanjay; Kaur, Taranjot

2016-01-01

Today's society is becoming increasingly unsafe for children: we frequently hear about new incidents of missing children, which lead to emotional trauma for the loved ones and expose systemic failures of law and order. Parents can take extra precautions to ensure the safety of their children by educating them about ways to protect themselves and keep important records of the child such as updated color photographs, fingerprints, deoxyribonucleic acid (DNA) samples, etc., handy. However, in spite of all efforts, the problem of missing children still remains. Developments in the field of dentistry have empowered dentists with various tools and techniques to play a pivotal role in tracing a missing child. One such tool is Toothprints, a patented arch-shaped thermoplastic dental impression wafer developed by Dr. David Tesini, a paediatric dentist from Massachusetts. Toothprints enables a unique identification of the missing children not only through the bite impression but also through salivary DNA. Besides the use of Toothprints, a dentist can assist investigating agencies in identifying the missing children in multiple ways, including postmortem dental profiling, labeled dental fixtures, DNA extraction from teeth, and serial number engraving on the children's teeth. More importantly, all these tools cause minimal inconvenience to the individual, making a dentist's role in tracking a missing child even more significant. Thus, the simple discipline of maintaining timely dental records with the help of their dentists can save potential hassles for the parents in the future. PMID:27051216

Dentistry to the rescue of missing children: A review.

Science.gov (United States)

Vij, Nitika; Kochhar, Gulsheen Kaur; Chachra, Sanjay; Kaur, Taranjot

2016-01-01

Today's society is becoming increasingly unsafe for children: we frequently hear about new incidents of missing children, which lead to emotional trauma for the loved ones and expose systemic failures of law and order. Parents can take extra precautions to ensure the safety of their children by educating them about ways to protect themselves and keep important records of the child such as updated color photographs, fingerprints, deoxyribonucleic acid (DNA) samples, etc., handy. However, in spite of all efforts, the problem of missing children still remains. Developments in the field of dentistry have empowered dentists with various tools and techniques to play a pivotal role in tracing a missing child. One such tool is Toothprints, a patented arch-shaped thermoplastic dental impression wafer developed by Dr. David Tesini, a paediatric dentist from Massachusetts. Toothprints enables a unique identification of the missing children not only through the bite impression but also through salivary DNA. Besides the use of Toothprints, a dentist can assist investigating agencies in identifying the missing children in multiple ways, including postmortem dental profiling, labeled dental fixtures, DNA extraction from teeth, and serial number engraving on the children's teeth. More importantly, all these tools cause minimal inconvenience to the individual, making a dentist's role in tracking a missing child even more significant. Thus, the simple discipline of maintaining timely dental records with the help of their dentists can save potential hassles for the parents in the future.

Identifying person-fit latent classes, and explanation of categorical and continuous person misfit

NARCIS (Netherlands)

Conijn, J.M.; Sijtsma, K.; Emons, W.H.M.

2016-01-01

Latent class (LC) cluster analysis of a set of subscale lz person-fit statistics was proposed to explain person misfit on multiscale measures. The proposed explanatory LC person-fit analysis was used to analyze data of students (N = 91,648) on the nine-subscale School Attitude Questionnaire Internet

Introducing CSR - The Missing Ingredient in the Land Reform Recipe?

Directory of Open Access Journals (Sweden)

Henk J Kloppers

2014-05-01

Full Text Available In reaction to the unequal land ownership brought about by decades of apartheid, the first democratically elected government embarked on an extensive land reform programme - a programme consisting of the three constitutionally protected pillars: restitution, redistribution and tenure reform. The aim of this programme is not only to provide for restitution to persons who lost their land as a result of racially based measures, but also provide previously disadvantaged South Africans with access to land in order to address the unequal land ownership. This research focuses on the restitution and redistribution pillars of the land reform programme. The progress made in terms of both these sub-programmes has been disappointing. With reference to redistribution the government has set the target to redistribute 30% of white owned commercial agricultural land to black persons by 2014. To date, less than 10% of this target has been achieved and all indications are that the overwhelming majority of land which has been redistributed is not being used productively or have fallen into a state of total neglect. The state of the redistributed land can be attributed to a variety of causes, with the main cause being the government's inability to provide proper post-settlement support to land reform beneficiaries. Against this background it is clear that alternative options have to be identified in order to improve the result of land reform. This article identifies corporate social responsibility (CSR as one of the missing ingredients in the recipe for a successful land reform programme. The article introduces CSR and discusses the business case for CSR; identifies its benefits; considers its possible limitations; and examines the major drivers behind the notion. From the discussion of these topics it will become evident that an assumption of social responsibility by businesses in especially the agricultural sector might contribute to an improved land reform

New or ν missing energy

DEFF Research Database (Denmark)

Franzosi, Diogo Buarque; Frandsen, Mads T.; Shoemaker, Ian M.

2016-01-01

flavor structures. Monojet data alone can be used to infer the mass of the "missing particle" from the shape of the missing energy distribution. In particular, 13 TeV LHC data will have sensitivity to DM masses greater than $\\sim$ 1 TeV. In addition to the monojet channel, NSI can be probed in multi......Missing energy signals such as monojets are a possible signature of Dark Matter (DM) at colliders. However, neutrino interactions beyond the Standard Model may also produce missing energy signals. In order to conclude that new "missing particles" are observed the hypothesis of BSM neutrino......-lepton searches which we find to yield stronger limits at heavy mediator masses. The sensitivity offered by these multi-lepton channels provide a method to reject or confirm the DM hypothesis in missing energy searches....

VIGAN: Missing View Imputation with Generative Adversarial Networks.

Science.gov (United States)

Shang, Chao; Palmer, Aaron; Sun, Jiangwen; Chen, Ko-Shin; Lu, Jin; Bi, Jinbo

2017-01-01

In an era when big data are becoming the norm, there is less concern with the quantity but more with the quality and completeness of the data. In many disciplines, data are collected from heterogeneous sources, resulting in multi-view or multi-modal datasets. The missing data problem has been challenging to address in multi-view data analysis. Especially, when certain samples miss an entire view of data, it creates the missing view problem. Classic multiple imputations or matrix completion methods are hardly effective here when no information can be based on in the specific view to impute data for such samples. The commonly-used simple method of removing samples with a missing view can dramatically reduce sample size, thus diminishing the statistical power of a subsequent analysis. In this paper, we propose a novel approach for view imputation via generative adversarial networks (GANs), which we name by VIGAN. This approach first treats each view as a separate domain and identifies domain-to-domain mappings via a GAN using randomly-sampled data from each view, and then employs a multi-modal denoising autoencoder (DAE) to reconstruct the missing view from the GAN outputs based on paired data across the views. Then, by optimizing the GAN and DAE jointly, our model enables the knowledge integration for domain mappings and view correspondences to effectively recover the missing view. Empirical results on benchmark datasets validate the VIGAN approach by comparing against the state of the art. The evaluation of VIGAN in a genetic study of substance use disorders further proves the effectiveness and usability of this approach in life science.

Ultrasonographic findings of hydatidiform mole and missed abortion

International Nuclear Information System (INIS)

Yun, Kwang Myeong; Lee, Yeong Hwan; Chung, Hye Kyeong; Chung, Duck Soo; Kim, Ok Dong

1990-01-01

To establish the sonographic characteristics of the hydatidiform mole and the missed abortion with placental degeneration, we have retrospectively analyzed 12 cases of complete mole, 10 cases of partial mole, and 10 cases of missed abortion with placental hydropic degeneration, collected at Taegu Catholic General Hospital, from January 1986 to December 1989. The results were as follows : 1. Of 12 cases of complete mole, all demonstrated diffuse intrauterine vesicular pattern of internal echo without a gestational sac. Two cases were recurred after D and E. 2. The partial mole was characterized by focal (70%) or diffuse (20%) distribution of hydatidiform placental change and a gestational sac (100%) with or without a macerated fetus. But the striking hydatidiform placental change was not present in one cases of partial mole. 3. The uterus was larger for dates in 9 cases (90%) of complete mole, but smaller for dates in 7 cases (70%) of partial mole. 4. The missed abortion with placental hydropic degeneration was indistinguished from a partial mole due to their similar sonographic appearance : focal or diffuse cystic change of a placenta, a distorted gestational sac with or without a fetus, and a smaller uterus for dates. On conclusion, the complete mole could be easily distinguished from a partial mole or a missed abortion by sonography : a gestational sac or an area of noncystic placenta was not identified in a complete mole. The partial mole was indistinguished from a missed abortion, but if there is the suspicion of trophoblastic proliferation, such as a convex placental surface or a larger uterus for dates, then the diagnosis is probably a partial mole rather than a missed abortion

Using formative feedback to identify and support first-year chemistry students with missing or misconceptions. A Practice Report

Directory of Open Access Journals (Sweden)

Gwen Lawrie

2013-08-01

Full Text Available Students entering tertiary studies possess a diverse range of prior experiences in their academic preparation for tertiary chemistry so academics need tools to enable them to respond to issues in diversity in conceptual models possessed by entering students. Concept inventories can be used to provide formative feedback to help students identify concepts that they need to address to improve construction of subsequent understanding enabling their learning.Modular, formative learning activities that can be administered inside or outside of class in first year chemistry courses have been developed. These activities address key missing and mis-conceptions possessed by incoming student. Engagement in these learning activities by students and academics will help shift the culture of diagnostic and formative assessment within the tertiary context and address issues around the secondary/tertiary transition. This diagnostic/intervention framework is currently being trialed across five Australian tertiary institutions encompassing a large heterogeneous sample of students.

Introducing CSR - The Missing Ingredient in the Land Reform Recipe?

African Journals Online (AJOL)

This article identifies corporate social responsibility (CSR) as one of the missing ingredients in the recipe for a successful land reform programme. The article introduces CSR and discusses the business case for CSR; identifies its benefits; considers its possible limitations; and examines the major drivers behind the notion.

Missed doses of oral antihyperglycemic medications in US adults with type 2 diabetes mellitus: prevalence and self-reported reasons.

Science.gov (United States)

Vietri, Jeffrey T; Wlodarczyk, Catherine S; Lorenzo, Rose; Rajpathak, Swapnil

2016-09-01

Adherence to antihyperglycemic medication is thought to be suboptimal, but the proportion of patients missing doses, the number of doses missed, and reasons for missing are not well described. This survey was conducted to estimate the prevalence of and reasons for missed doses of oral antihyperglycemic medications among US adults with type 2 diabetes mellitus, and to explore associations between missed doses and health outcomes. The study was a cross-sectional patient survey. Respondents were contacted via a commercial survey panel and completed an on-line questionnaire via the Internet. Respondents provided information about their use of oral antihyperglycemic medications including doses missed in the prior 4 weeks, personal characteristics, and health outcomes. Weights were calculated to project the prevalence to the US adult population with type 2 diabetes mellitus. Outcomes were compared according to number of doses missed in the past 4 weeks using bivariate statistics and generalized linear models. Approximately 30% of adult patients with type 2 diabetes mellitus reported missing or reducing ≥1 dose of oral antihyperglycemic medication in the prior 4 weeks. Accidental missing was more commonly reported than purposeful skipping, with forgetting the most commonly reported reason. The timing of missed doses suggested respondents had also forgotten about doses missed, so the prevalence of missed doses is likely higher than reported. Outcomes were poorer among those who reported missing three or more doses in the prior 4 weeks. A substantial number of US adults with type 2 diabetes mellitus miss doses of their oral antihyperglycemic medications.

Analyzing time-ordered event data with missed observations.

Science.gov (United States)

Dokter, Adriaan M; van Loon, E Emiel; Fokkema, Wimke; Lameris, Thomas K; Nolet, Bart A; van der Jeugd, Henk P

2017-09-01

A common problem with observational datasets is that not all events of interest may be detected. For example, observing animals in the wild can difficult when animals move, hide, or cannot be closely approached. We consider time series of events recorded in conditions where events are occasionally missed by observers or observational devices. These time series are not restricted to behavioral protocols, but can be any cyclic or recurring process where discrete outcomes are observed. Undetected events cause biased inferences on the process of interest, and statistical analyses are needed that can identify and correct the compromised detection processes. Missed observations in time series lead to observed time intervals between events at multiples of the true inter-event time, which conveys information on their detection probability. We derive the theoretical probability density function for observed intervals between events that includes a probability of missed detection. Methodology and software tools are provided for analysis of event data with potential observation bias and its removal. The methodology was applied to simulation data and a case study of defecation rate estimation in geese, which is commonly used to estimate their digestive throughput and energetic uptake, or to calculate goose usage of a feeding site from dropping density. Simulations indicate that at a moderate chance to miss arrival events ( p  = 0.3), uncorrected arrival intervals were biased upward by up to a factor 3, while parameter values corrected for missed observations were within 1% of their true simulated value. A field case study shows that not accounting for missed observations leads to substantial underestimates of the true defecation rate in geese, and spurious rate differences between sites, which are introduced by differences in observational conditions. These results show that the derived methodology can be used to effectively remove observational biases in time-ordered event

Semiparametric Theory and Missing Data

CERN Document Server

Tsiatis, Anastasios A

2006-01-01

Missing data arise in almost all scientific disciplines. In many cases, missing data in an analysis is treated in a casual and ad-hoc manner, leading to invalid inferences and erroneous conclusions. This book summarizes knowledge regarding the theory of estimation for semiparametric models with missing data.

Nursing care missed in patients at risk of or having pressure ulcers.

Science.gov (United States)

Valles, Jonathan Hermayn Hernández; Monsiváis, María Guadalupe Moreno; Guzmán, Ma Guadalupe Interial; Arreola, Leticia Vázquez

2016-11-21

to determine the nursing care missed as perceived by the nursing staff and its relation with the nursing care missed identified in the assessment of patients at risk of or having pressur ulcers. descriptive correlation study. The participants were 161 nurses and 483 patients from a public hospital. The MISSCARE survey was used in combination with a Nursing Care Assessment Form for Patients at Risk of or having pressure ulcers. For the analysis, descriptive and inferential statistics were used. the nursing staff indicated greater omission in skin care (38.5%), position change (31.1%) and the registration of risk factors for the development of pressure ulcers (33.5%). The nursing care missed identified in the assessment related to the use of pressure relief on bony prominences and drainage tubes interfering in the patient's movements (both with 58.6%) and the use of pneumatic mattresses (57.6%). a high percentage of nursing care missed was found according to the staff's perception. Nevertheless, the assessment of the nursing care missed was much higher. No significant relation was found between both. Therefore, it is a priority to reflect on the importance of objective patient assessments. determinar o cuidado de enfermagem omitido percebido pela equipe de enfermagem e sua relação com o cuidado omitido identificado na avaliação de pacientes com risco ou com de úlceras por pressão. estudo descritivo correlacional. Participaram 161 enfermeiras e 483 pacientes de um hospital público. Foram utilizados o levantamento MISSCARE e um Formulário de Avaliação de Cuidados de Enfermagem em Pacientes com Risco ou com úlceras por pressão. Para a análise foi utilizada estatística descritiva e inferencial. a equipe de enfermagem assinalou que há maior omissão no cuidado da pele (38,5%), reposicionamento (31,1%) e no registro de fatores de risco para o aparecimento de úlceras por pressão (33,5%). Os cuidados de enfermagem omitidos identificados na avaliação foram

78 FR 17222 - Notice of Proposed Information Collection, License for the Use of Personally Identifiable...

Science.gov (United States)

2013-03-20

... Identifiable Information Protected Under the E-Government Act of 2002, Title V and the Privacy Act of 1974...) and Title V, subtitle A of the E-Government Act of 2002 (CIPSEA) (U.S.C. 3501 note). HUD wishes to... Information Collection, License for the Use of Personally Identifiable Information Protected Under the E...

Definitions of Success: Girls at Miss Porter's School Share Their Hopes, Dreams, and Fears

Science.gov (United States)

Windsor, Katherine Gladstone

2010-01-01

This study explores how girls currently enrolled and recently graduated from Miss Porter's School, Farmington, Connecticut, define success and the role gender plays in their definition(s). Data were collected from semi-structured student interviews, written responses by the students to a prompt designed to elicit personal conceptions of success,…

Deep Coverage Proteomics Identifies More Low-Abundance Missing Proteins in Human Testis Tissue with Q-Exactive HF Mass Spectrometer.

Science.gov (United States)

Wei, Wei; Luo, Weijia; Wu, Feilin; Peng, Xuehui; Zhang, Yao; Zhang, Manli; Zhao, Yan; Su, Na; Qi, YingZi; Chen, Lingsheng; Zhang, Yangjun; Wen, Bo; He, Fuchu; Xu, Ping

2016-11-04

Since 2012, missing proteins (MPs) investigation has been one of the critical missions of Chromosome-Centric Human Proteome Project (C-HPP) through various biochemical strategies. On the basis of our previous testis MPs study, faster scanning and higher resolution mass-spectrometry-based proteomics might be conducive to MPs exploration, especially for low-abundance proteins. In this study, Q-Exactive HF (HF) was used to survey proteins from the same testis tissues separated by two separating methods (tricine- and glycine-SDS-PAGE), as previously described. A total of 8526 proteins were identified, of which more low-abundance proteins were uniquely detected in HF data but not in our previous LTQ Orbitrap Velos (Velos) reanalysis data. Further transcriptomics analysis showed that these uniquely identified proteins by HF also had lower expression at the mRNA level. Of the 81 total identified MPs, 74 and 39 proteins were listed as MPs in HF and Velos data sets, respectively. Among the above MPs, 47 proteins (43 neXtProt PE2 and 4 PE3) were ranked as confirmed MPs after verifying with the stringent spectra match and isobaric and single amino acid variants filtering. Functional investigation of these 47 MPs revealed that 11 MPs were testis-specific proteins and 7 MPs were involved in spermatogenesis process. Therefore, we concluded that higher scanning speed and resolution of HF might be factors for improving the low-abundance MP identification in future C-HPP studies. All mass-spectrometry data from this study have been deposited in the ProteomeXchange with identifier PXD004092.

Flexible Imputation of Missing Data

CERN Document Server

van Buuren, Stef

2012-01-01

Missing data form a problem in every scientific discipline, yet the techniques required to handle them are complicated and often lacking. One of the great ideas in statistical science--multiple imputation--fills gaps in the data with plausible values, the uncertainty of which is coded in the data itself. It also solves other problems, many of which are missing data problems in disguise. Flexible Imputation of Missing Data is supported by many examples using real data taken from the author's vast experience of collaborative research, and presents a practical guide for handling missing data unde

Results of Database Studies in Spine Surgery Can Be Influenced by Missing Data.

Science.gov (United States)

Basques, Bryce A; McLynn, Ryan P; Fice, Michael P; Samuel, Andre M; Lukasiewicz, Adam M; Bohl, Daniel D; Ahn, Junyoung; Singh, Kern; Grauer, Jonathan N

2017-12-01

National databases are increasingly being used for research in spine surgery; however, one limitation of such databases that has received sparse mention is the frequency of missing data. Studies using these databases often do not emphasize the percentage of missing data for each variable used and do not specify how patients with missing data are incorporated into analyses. This study uses the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) database to examine whether different treatments of missing data can influence the results of spine studies. (1) What is the frequency of missing data fields for demographics, medical comorbidities, preoperative laboratory values, operating room times, and length of stay recorded in ACS-NSQIP? (2) Using three common approaches to handling missing data, how frequently do those approaches agree in terms of finding particular variables to be associated with adverse events? (3) Do different approaches to handling missing data influence the outcomes and effect sizes of an analysis testing for an association with these variables with occurrence of adverse events? Patients who underwent spine surgery between 2005 and 2013 were identified from the ACS-NSQIP database. A total of 88,471 patients undergoing spine surgery were identified. The most common procedures were anterior cervical discectomy and fusion, lumbar decompression, and lumbar fusion. Demographics, comorbidities, and perioperative laboratory values were tabulated for each patient, and the percent of missing data was noted for each variable. These variables were tested for an association with "any adverse event" using three separate multivariate regressions that used the most common treatments for missing data. In the first regression, patients with any missing data were excluded. In the second regression, missing data were treated as a negative or "reference" value; for continuous variables, the mean of each variable's reference range

The effect of tertiary surveys on missed injuries in trauma: a systematic review

Directory of Open Access Journals (Sweden)

Keijzers Gerben B

2012-11-01

Full Text Available Abstract Background Trauma tertiary surveys (TTS are advocated to reduce the rate of missed injuries in hospitalized trauma patients. Moreover, the missed injury rate can be a quality indicator of trauma care performance. Current variation of the definition of missed injury restricts interpretation of the effect of the TTS and limits the use of missed injury for benchmarking. Only a few studies have specifically assessed the effect of the TTS on missed injury. We aimed to systematically appraise these studies using outcomes of two common definitions of missed injury rates and long-term health outcomes. Methods A systematic review was performed. An electronic search (without language or publication restrictions of the Cochrane Library, Medline and Ovid was used to identify studies assessing TTS with short-term measures of missed injuries and long-term health outcomes. ‘Missed injury’ was defined as either: Type I any injury missed at primary and secondary survey and detected by the TTS; or Type II any injury missed at primary and secondary survey and missed by the TTS, detected during hospital stay. Two authors independently selected studies. Risk of bias for observational studies was assessed using the Newcastle-Ottawa scale. Results Ten observational studies met our inclusion criteria. None was randomized and none reported long-term health outcomes. Their risk of bias varied considerably. Nine studies assessed Type I missed injury and found an overall rate of 4.3%. A single study reported Type II missed injury with a rate of 1.5%. Three studies reported outcome data on missed injuries for both control and intervention cohorts, with two reporting an increase in Type I missed injuries (3% vs. 7%, PP=0.01. Conclusions Overall Type I and Type II missed injury rates were 4.3% and 1.5%. Routine TTS performance increased Type I and reduced Type II missed injuries. However, evidence is sub-optimal: few observational studies, non-uniform outcome

Social network characteristics and HIV vulnerability among transgender persons in San Salvador: identifying opportunities for HIV prevention strategies.

Science.gov (United States)

Barrington, Clare; Wejnert, Cyprian; Guardado, Maria Elena; Nieto, Ana Isabel; Bailey, Gabriela Paz

2012-01-01

The purpose of this study is to improve understanding of HIV vulnerability and opportunities for HIV prevention within the social networks of male-to-female transgender persons in San Salvador, El Salvador. We compare HIV prevalence and behavioral data from a sample of gay-identified men who have sex with men (MSM) (n = 279), heterosexual or bisexual identified MSM (n = 229) and transgender persons (n = 67) recruited using Respondent Driven Sampling. Transgender persons consistently reported higher rates of HIV risk behavior than the rest of the study population and were significantly more likely to be involved in sex work. While transgender persons reported the highest rates of exposure to HIV educational activities they had the lowest levels of HIV-related knowledge. Transgender respondents' social networks were homophilous and efficient at recruiting other transgender persons. Findings suggest that transgender social networks could provide an effective and culturally relevant opportunity for HIV prevention efforts in this vulnerable population.

Barriers to reporting medication errors and near misses among nurses: A systematic review.

Science.gov (United States)

Vrbnjak, Dominika; Denieffe, Suzanne; O'Gorman, Claire; Pajnkihar, Majda

2016-11-01

To explore barriers to nurses' reporting of medication errors and near misses in hospital settings. Systematic review. Medline, CINAHL, PubMed and Cochrane Library in addition to Google and Google Scholar and reference lists of relevant studies published in English between January 1981 and April 2015 were searched for relevant qualitative, quantitative or mixed methods empirical studies or unpublished PhD theses. Papers with a primary focus on barriers to reporting medication errors and near misses in nursing were included. The titles and abstracts of the search results were assessed for eligibility and relevance by one of the authors. After retrieval of the full texts, two of the authors independently made decisions concerning the final inclusion and these were validated by the third reviewer. Three authors independently assessed methodological quality of studies. Relevant data were extracted and findings were synthesised using thematic synthesis. From 4038 identified records, 38 studies were included in the synthesis. Findings suggest that organizational barriers such as culture, the reporting system and management behaviour in addition to personal and professional barriers such as fear, accountability and characteristics of nurses are barriers to reporting medication errors. To overcome reported barriers it is necessary to develop a non-blaming, non-punitive and non-fearful learning culture at unit and organizational level. Anonymous, effective, uncomplicated and efficient reporting systems and supportive management behaviour that provides open feedback to nurses is needed. Nurses are accountable for patients' safety, so they need to be educated and skilled in error management. Lack of research into barriers to reporting of near misses' and low awareness of reporting suggests the need for further research and development of educational and management approaches to overcome these barriers. Copyright © 2016 Elsevier Ltd. All rights reserved.

Missed injury – decreasing morbidity and mortality: A literature review

African Journals Online (AJOL)

Advanced Trauma Life Support®), although they may also be inju- ries identified after a defined .... highly recommended for practice quality assurance. ... when injuries are missed, continuous audit is essential in prevent- ing repeated errors!

Slp-76 is a critical determinant of NK cell-mediated recognition of missing-self targets

OpenAIRE

Lampe, Kristin; Endale, Mehari; Cashman, Siobhan; Fang, Hao; Mattner, Jochen; Hildeman, David; Hoebe, Kasper

2015-01-01

Absence of MHC class I expression is an important mechanism by which NK cells recognize a variety of target cells, yet the pathways underlying “missing-self” recognition, including the involvement of activating receptors, remain poorly understood. Using ENU mutagenesis in mice, we identified a germline mutant, designated Ace, with a marked defect in NK cell-mediated recognition and elimination of “missing-self” targets. The causative mutation was linked to chromosome 11 and identified as a mi...

A Bayesian approach to assess heart disease mortality among persons with diabetes in the presence of missing data.

Science.gov (United States)

Cadwell, Betsy L; Boyle, James P; Tierney, Edward F; Thompson, Theodore J

2007-09-01

Some states' death certificate form includes a diabetes yes/no check box that enables policy makers to investigate the change in heart disease mortality rates by diabetes status. Because the check boxes are sometimes unmarked, a method accounting for missing data is needed when estimating heart disease mortality rates by diabetes status. Using North Dakota's data (1992-2003), we generate the posterior distribution of diabetes status to estimate diabetes status among those with heart disease and an unmarked check box using Monte Carlo methods. Combining this estimate with the number of death certificates with known diabetes status provides a numerator for heart disease mortality rates. Denominators for rates were estimated from the North Dakota Behavioral Risk Factor Surveillance System. Accounting for missing data, age-adjusted heart disease mortality rates (per 1,000) among women with diabetes were 8.6 during 1992-1998 and 6.7 during 1999-2003. Among men with diabetes, rates were 13.0 during 1992-1998 and 10.0 during 1999-2003. The Bayesian approach accounted for the uncertainty due to missing diabetes status as well as the uncertainty in estimating the populations with diabetes.

Miss Lora juveelikauplus = Miss Lora jewellery store

Index Scriptorium Estoniae

2009-01-01

Narvas Fama kaubanduskeskuses (Tallinna mnt. 19c) asuva juveelikaupluse Miss Lora sisekujundusest. Sisearhitektid Annes Arro ja Hanna Karits. Poe sisu - vitriinkapid, vaip, valgustid - on valmistatud eritellimusel. Sisearhitektide tähtsamate tööde loetelu

Statistical analysis with missing exposure data measured by proxy respondents: a misclassification problem within a missing-data problem.

Science.gov (United States)

Shardell, Michelle; Hicks, Gregory E

2014-11-10

In studies of older adults, researchers often recruit proxy respondents, such as relatives or caregivers, when study participants cannot provide self-reports (e.g., because of illness). Proxies are usually only sought to report on behalf of participants with missing self-reports; thus, either a participant self-report or proxy report, but not both, is available for each participant. Furthermore, the missing-data mechanism for participant self-reports is not identifiable and may be nonignorable. When exposures are binary and participant self-reports are conceptualized as the gold standard, substituting error-prone proxy reports for missing participant self-reports may produce biased estimates of outcome means. Researchers can handle this data structure by treating the problem as one of misclassification within the stratum of participants with missing self-reports. Most methods for addressing exposure misclassification require validation data, replicate data, or an assumption of nondifferential misclassification; other methods may result in an exposure misclassification model that is incompatible with the analysis model. We propose a model that makes none of the aforementioned requirements and still preserves model compatibility. Two user-specified tuning parameters encode the exposure misclassification model. Two proposed approaches estimate outcome means standardized for (potentially) high-dimensional covariates using multiple imputation followed by propensity score methods. The first method is parametric and uses maximum likelihood to estimate the exposure misclassification model (i.e., the imputation model) and the propensity score model (i.e., the analysis model); the second method is nonparametric and uses boosted classification and regression trees to estimate both models. We apply both methods to a study of elderly hip fracture patients. Copyright © 2014 John Wiley & Sons, Ltd.

The handling of missing binary data in language research

Directory of Open Access Journals (Sweden)

François Pichette

2015-01-01

Full Text Available Researchers are frequently confronted with unanswered questions or items on their questionnaires and tests, due to factors such as item difficulty, lack of testing time, or participant distraction. This paper first presents results from a poll confirming previous claims (Rietveld & van Hout, 2006; Schafer & Gra- ham, 2002 that data replacement and deletion methods are common in research. Language researchers declared that when faced with missing answers of the yes/no type (that translate into zero or one in data tables, the three most common solutions they adopt are to exclude the participant’s data from the analyses, to leave the square empty, or to fill in with zero, as for an incorrect answer. This study then examines the impact on Cronbach’s α of five types of data insertion, using simulated and actual data with various numbers of participants and missing percentages. Our analyses indicate that the three most common methods we identified among language researchers are the ones with the greatest impact  n Cronbach's α coefficients; in other words, they are the least desirable solutions to the missing data problem. On the basis of our results, we make recommendations for language researchers concerning the best way to deal with missing data. Given that none of the most common simple methods works properly, we suggest that the missing data be replaced either by the item’s mean or by the participants’ overall mean to provide a better, more accurate image of the instrument’s internal consistency.

Implementation of repeat HIV testing during pregnancy in southwestern Kenya: progress and missed opportunities.

Science.gov (United States)

Rogers, Anna J; Akama, Eliud; Weke, Elly; Blackburn, Justin; Owino, George; Bukusi, Elizabeth A; Oyaro, Patrick; Kwena, Zachary A; Cohen, Craig R; Turan, Janet M

2017-12-01

Repeat HIV testing during the late antenatal period is crucial to identify and initiate treatment for pregnant women with incident HIV infection to prevent perinatal HIV transmission and keep mothers alive. In 2012, the Kenya Ministry of Health adopted international guidelines suggesting that pregnant women be offered retesting three months after an initial negative HIV test. Our objectives were to determine the current rate of antenatal repeat HIV testing; identify successes, missed opportunities and factors associated with retesting; and estimate the incidence of HIV during pregnancy. Retrospective analysis of longitudinal data was conducted for a cohort of 2145 women attending antenatal care clinic at a large district hospital in southwestern Kenya. Data were abstracted from registers for all women who attended the clinic from the years 2011 to 2014. Although 90.2% of women first came to clinic prior to their third trimester and 27.5% had at least four clinic visits, 58.0% of all women went to delivery without a retest. Missed opportunities for retesting included not returning to clinic at all, not returning when eligible, or late gestational age (>28 weeks) at first clinic visit making them ineligible for retesting (accounting for 14.2%, 26.8% and 9.6% of all clinic attendees respectively); and failure to be retested even when eligible at one or more visits (accounting for 73.2% of eligible returnees). Being unmarried and aged 20 or younger was associated with an increase in mean gestational age of first visit by 2.52 weeks (95% CI: 1.56, 3.48) and a 2.59 increased odds (95% CI: 1.90, 3.54) of failing to return to clinic, compared to those who were married and over 20 years of age. On retest, two women tested HIV positive, suggesting an incidence rate of 4.4 per 100 person-years. After adjusting for potential confounders, only later year of last menstrual period (2013 vs. 2012 and 2011) was associated with retesting. Adoption of retesting guidelines in 2012

Elements of person knowledge: Episodic recollection helps us to identify people but not to recognize their faces.

Science.gov (United States)

MacKenzie, Graham; Donaldson, David I

2016-12-01

Faces automatically draw attention, allowing rapid assessments of personality and likely behaviour. How we respond to people is, however, highly dependent on whether we know who they are. According to face processing models person knowledge comes from an extended neural system that includes structures linked to episodic memory. Here we use scalp recorded brain signals to demonstrate the specific role of episodic memory processes during face processing. In two experiments we recorded Event-Related Potentials (ERPs) while participants made identify, familiar or unknown responses to famous faces. ERPs revealed neural signals previously associated with episodic recollection for identify but not familiar faces. These findings provide novel evidence suggesting that recollection is central to face processing, providing one source of person knowledge that can be used to moderate the initial impressions gleaned from the core neural system that supports face recognition. Crown Copyright © 2016. Published by Elsevier Ltd. All rights reserved.

Identifying classes of persons with mild intellectual disability or borderline intellectual functioning: a latent class analysis.

Science.gov (United States)

Nouwens, Peter J G; Lucas, Rosanne; Smulders, Nienke B M; Embregts, Petri J C M; van Nieuwenhuizen, Chijs

2017-07-17

Persons with mild intellectual disability or borderline intellectual functioning are often studied as a single group with similar characteristics. However, there are indications that differences exist within this population. Therefore, the aim of this study was to identify classes of persons with mild intellectual disability or borderline intellectual functioning and to examine whether these classes are related to individual and/or environmental characteristics. Latent class analysis was performed using file data of 250 eligible participants with a mean age of 26.1 (SD 13.8, range 3-70) years. Five distinct classes of persons with mild intellectual disability or borderline intellectual functioning were found. These classes significantly differed in individual and environmental characteristics. For example, persons with a mild intellectual disability experienced fewer problems than those with borderline intellectual disability. The identification of five classes implies that a differentiated approach is required towards persons with mild intellectual disability or borderline intellectual functioning.

Patterns and Outcome of Missed Injuries in Egyptians Polytrauma Patients

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Adel Hamed Elbaih

2018-01-01

Full Text Available Introduction: “polytrauma” patients are higher risk of complications and death than the summation of expected mortality and morbidity of their individual injuries. The ideal goal in trauma resuscitation care is to identify and treat all injuries. With clinical and technological advanced imaging available for diagnosis and treatment of traumatic patients, missed injuries still significant affect modern trauma services and its outcome. Aim: to improve outcome and determine the incidence and nature of missed injuries in polytrauma patients. Methods: the study is a cross-sectional, prospective study included 600 polytraumatized patients admitted in Suez Canal University Hospital. Firstly assessed and treated accordingly to Advanced Trauma Life Support (ATLS guidelines and treat the life threading conditions if present with follow-up short outcome for 28 days. Results: The most common precipitate factor for missed injuries in my study was clinical evaluation error due to Inadequate diagnostic workup in 42.9%. And the second risk factor was Deficiency in Physical Examination in 35.7%. Lastly Incomplete assessment due to patient instability in 10.7% and incorrect interpretation of imaging10.7%.low rates of missed injuries (40.8% in patients arriving during the day compared with (59.2% of night arrivals. Conclusion: the incidence of missed injuries in the study is 9.0 % which is still high compared to many trauma centers. And mostly increase the period of stay in the hospital and affect the outcome of polytrauma patients.

Genomic Variants Revealed by Invariably Missing Genotypes in Nelore Cattle.

Directory of Open Access Journals (Sweden)

Joaquim Manoel da Silva

Full Text Available High density genotyping panels have been used in a wide range of applications. From population genetics to genome-wide association studies, this technology still offers the lowest cost and the most consistent solution for generating SNP data. However, in spite of the application, part of the generated data is always discarded from final datasets based on quality control criteria used to remove unreliable markers. Some discarded data consists of markers that failed to generate genotypes, labeled as missing genotypes. A subset of missing genotypes that occur in the whole population under study may be caused by technical issues but can also be explained by the presence of genomic variations that are in the vicinity of the assayed SNP and that prevent genotyping probes from annealing. The latter case may contain relevant information because these missing genotypes might be used to identify population-specific genomic variants. In order to assess which case is more prevalent, we used Illumina HD Bovine chip genotypes from 1,709 Nelore (Bos indicus samples. We found 3,200 missing genotypes among the whole population. NGS re-sequencing data from 8 sires were used to verify the presence of genomic variations within their flanking regions in 81.56% of these missing genotypes. Furthermore, we discovered 3,300 novel SNPs/Indels, 31% of which are located in genes that may affect traits of importance for the genetic improvement of cattle production.

Comparison of 10 single and stepped methods to identify frail older persons in primary care: diagnostic and prognostic accuracy.

Science.gov (United States)

Sutorius, Fleur L; Hoogendijk, Emiel O; Prins, Bernard A H; van Hout, Hein P J

2016-08-03

Many instruments have been developed to identify frail older adults in primary care. A direct comparison of the accuracy and prevalence of identification methods is rare and most studies ignore the stepped selection typically employed in routine care practice. Also it is unclear whether the various methods select persons with different characteristics. We aimed to estimate the accuracy of 10 single and stepped methods to identify frailty in older adults and to predict adverse health outcomes. In addition, the methods were compared on their prevalence of the identified frail persons and on the characteristics of persons identified. The Groningen Frailty Indicator (GFI), the PRISMA-7, polypharmacy, the clinical judgment of the general practitioner (GP), the self-rated health of the older adult, the Edmonton Frail Scale (EFS), the Identification Seniors At Risk Primary Care (ISAR PC), the Frailty Index (FI), the InterRAI screener and gait speed were compared to three measures: two reference standards (the clinical judgment of a multidisciplinary expert panel and Fried's frailty criteria) and 6-years mortality or long term care admission. Data were used from the Dutch Identification of Frail Elderly Study, consisting of 102 people aged 65 and over from a primary care practice in Amsterdam. Frail older adults were oversampled. The accuracy of each instrument and several stepped strategies was estimated by calculating the area under the ROC-curve. Prevalence rates of frailty ranged from 14.8 to 52.9 %. The accuracy for recommended cut off values ranged from poor (AUC = 0.556 ISAR-PC) to good (AUC = 0.865 gait speed). PRISMA-7 performed best over two reference standards, GP predicted adversities best. Stepped strategies resulted in lower prevalence rates and accuracy. Persons selected by the different instruments varied greatly in age, IADL dependency, receiving homecare and mood. We found huge differences between methods to identify frail persons in prevalence

Missed hormonal contraceptives: new recommendations.

Science.gov (United States)

Guilbert, Edith; Black, Amanda; Dunn, Sheila; Senikas, Vyta

2008-11-01

To provide evidence-based guidance for women and their health care providers on the management of missed or delayed hormonal contraceptive doses in order to prevent unintended pregnancy. Medline, PubMed, and the Cochrane Database were searched for articles published in English, from 1974 to 2007, about hormonal contraceptive methods that are available in Canada and that may be missed or delayed. Relevant publications and position papers from appropriate reproductive health and family planning organizations were also reviewed. The quality of evidence is rated using the criteria developed by the Canadian Task Force on Preventive Health Care. This committee opinion will help health care providers offer clear information to women who have not been adherent in using hormonal contraception with the purpose of preventing unintended pregnancy. The Society of Obstetricians and Gynaecologists of Canada. SUMMARY STATEMENTS: 1. Instructions for what women should do when they miss hormonal contraception have been complex and women do not understand them correctly. (I) 2. The highest risk of ovulation occurs when the hormone-free interval is prolonged for more than seven days, either by delaying the start of combined hormonal contraceptives or by missing active hormone doses during the first or third weeks of combined oral contraceptives. (II) Ovulation rarely occurs after seven consecutive days of combined oral contraceptive use. (II) RECOMMENDATIONS: 1. Health care providers should give clear, simple instructions, both written and oral, on missed hormonal contraceptive pills as part of contraceptive counselling. (III-A) 2. Health care providers should provide women with telephone/electronic resources for reference in the event of missed or delayed hormonal contraceptives. (III-A) 3. In order to avoid an increased risk of unintended pregnancy, the hormone-free interval should not exceed seven days in combined hormonal contraceptive users. (II-A) 4. Back-up contraception should

The prevention and handling of the missing data

OpenAIRE

Kang, Hyun

2013-01-01

Even in a well-designed and controlled study, missing data occurs in almost all research. Missing data can reduce the statistical power of a study and can produce biased estimates, leading to invalid conclusions. This manuscript reviews the problems and types of missing data, along with the techniques for handling missing data. The mechanisms by which missing data occurs are illustrated, and the methods for handling the missing data are discussed. The paper concludes with recommendations for ...

Missed vaccination opportunities at a secondary health facility in ...

African Journals Online (AJOL)

The study aimed to identify missed vaccination visits and the associated factors in children presenting at the general out-patient clinic of a secondary health facility in Ilorin, Nigeria. Method: Through a descriptive cross-sectional study, the vaccination data of all children seen at the out-patient clinic were critically reviewed ...

Morbidade Materna Grave e Near Misses em Hospital de Referência Regional

Directory of Open Access Journals (Sweden)

Márcia Lait Morse

2011-06-01

public maternity in the state of Rio de Janeiro, using different identification criteria. METHODS: This is a cross-sectional study, performed in a regional reference hospital between June and October 2009, on severe maternal morbidity/near miss cases identified from the log books of the maternity hospital and review of medical records. This study focused on women who, during pregnancy, delivery, or the postpartum period, showed no clinical symptoms compatible with the defining criteria for severe maternal morbidity/near miss of Waterstone et al, Mantel et al. and the World Health Organization (WHO. RESULTS: Among the 1,544 admissions during the period studied, 89 women with severe maternal morbidity were identified, considering all criteria. The occurrence of severe maternal morbidity/near misses ranged from 81.4 to 9.4 per 1,000 live births (LB, depending on the criterion used. The mortality rate was 3.2%, reaching 23% in the WHO criteria. Only 40% of these women had more than six prenatal visits and 10% did not have any visit at all. The most common markers found were severe preeclampsia, followed by severe hemorrhage, ICU admissions, HELLP syndrome, and eclampsia. There were three maternal deaths with a MMR = 280/100.000 LB and one late death. The WHO criterion showed greater specificity, identifying more severe cases, while the Waterstone criterion was more sensitive. CONCLUSIONS: The study of severe maternal morbidity/near misses in a regional reference hospital can contribute to the knowledge of this event's magnitude, as well as to identify its most frequent characteristics and clinical conditions, being essential for dealing with maternal morbidity and mortality.

Identifying Careless Responding With the Psychopathic Personality Inventory-Revised Validity Scales.

Science.gov (United States)

Marcus, David K; Church, Abere Sawaqdeh; O'Connell, Debra; Lilienfeld, Scott O

2018-01-01

The Psychopathic Personality Inventory-Revised (PPI-R) includes validity scales that assess Deviant Responding (DR), Virtuous Responding, and Inconsistent Responding. We examined the utility of these scales for identifying careless responding using data from two online studies that examined correlates of psychopathy in college students (Sample 1: N = 583; Sample 2: N = 454). Compared with those below the cut scores, those above the cut on the DR scale yielded consistently lower validity coefficients when PPI-R scores were correlated with corresponding scales from the Triarchic Psychopathy Measure. The other three PPI-R validity scales yielded weaker and less consistent results. Participants who completed the studies in an inordinately brief amount of time scored significantly higher on the DR and Virtuous Responding scales than other participants. Based on the findings from the current studies, researchers collecting PPI-R data online should consider identifying and perhaps screening out respondents with elevated scores on the DR scale.

Personal identifiers in medical research networks: evaluation of the personal identifier generator in the Competence Network Paediatric Oncology and Haematology

Directory of Open Access Journals (Sweden)

Pommerening, Klaus

2006-06-01

Full Text Available The Society for Paediatric Oncology and Haematology (GPOH and the corresponding Competence Network Paediatric Oncology and Haematology conduct various clinical trials. The comprehensive analysis requires reliable identification of the recruited patients. Therefore, a personal identifier (PID generator is used to assign unambiguous, pseudonymous, non-reversible PIDs to participants in those trials. We tested the matching algorithm of the PID generator using a configuration specific to the GPOH. False data was used to verify the correct processing of PID requests (functionality tests, while test data was used to evaluate the matching outcome. We also assigned PIDs to more than 44,000 data records from the German Childhood Cancer Registry (GCCR and assessed the status of the associated patient list which contains the PIDs, partly encrypted data items and information on the PID generation process for each data record. All the functionality tests showed the expected results. Neither 14,915 test data records nor the GCCR data records yielded any homonyms. Six synonyms were found in the test data, due to erroneous birth dates, and 22 synonyms were found when the GCCR data was run against the actual patient list of 2579 records. In the resulting patient list of 45,693 entries, duplicate record submissions were found for about 7% of all listed patients, while more frequent submissions occurred in less than 1% of cases. The synonym error rate depends mainly on the quality of the input data and on the frequency of multiple submissions. Depending on the requirements on maximally tolerable synonym and homonym error rates, additional measures for securing input data quality might be necessary. The results demonstrate that the PID generator is an appropriate tool for reliably identifying trial participants in medical research networks.

Integrative missing value estimation for microarray data.

Science.gov (United States)

Hu, Jianjun; Li, Haifeng; Waterman, Michael S; Zhou, Xianghong Jasmine

2006-10-12

Missing value estimation is an important preprocessing step in microarray analysis. Although several methods have been developed to solve this problem, their performance is unsatisfactory for datasets with high rates of missing data, high measurement noise, or limited numbers of samples. In fact, more than 80% of the time-series datasets in Stanford Microarray Database contain less than eight samples. We present the integrative Missing Value Estimation method (iMISS) by incorporating information from multiple reference microarray datasets to improve missing value estimation. For each gene with missing data, we derive a consistent neighbor-gene list by taking reference data sets into consideration. To determine whether the given reference data sets are sufficiently informative for integration, we use a submatrix imputation approach. Our experiments showed that iMISS can significantly and consistently improve the accuracy of the state-of-the-art Local Least Square (LLS) imputation algorithm by up to 15% improvement in our benchmark tests. We demonstrated that the order-statistics-based integrative imputation algorithms can achieve significant improvements over the state-of-the-art missing value estimation approaches such as LLS and is especially good for imputing microarray datasets with a limited number of samples, high rates of missing data, or very noisy measurements. With the rapid accumulation of microarray datasets, the performance of our approach can be further improved by incorporating larger and more appropriate reference datasets.

USE OF PORTABLE GAMMA SPECTROMETERS FOR IDENTIFYING PERSONS EXPOSED IN A NUCLEAR CRITICALITY

Energy Technology Data Exchange (ETDEWEB)

Veinot, K. G. [Y-12 National Security Complex; Gose, B. T. [Y-12 National Security Complex; Bogard, James S [ORNL

2009-01-01

At Y-12 triage-style assessments are used to identify persons potentially exposed to high doses from criticality accident radiations using portable instruments by assessing the presence of activated sodium atoms in a person's blood. Historically, simple hand-held Geiger-Mueller (G-M) probes were used for these purposes although it was recognized that, since these instruments contain no information on incident photon energy, it was impossible to differentiate between photons emitted by contamination on the potentially exposed worker from activation of sodium in the person s blood. This works examines the use of a portable gamma spectrometer for assessing blood sodium activation. Irradiations of a representative phantom were performed using two neutron source configurations (unmoderated and polyethylene-moderated 252Cf) and measurements were made using the spectrometer and a G-M detector following irradiation. Detection limits in terms of personnel neutron dose are given for two neutron fields representing metaland solution criticality spectra. Both Geiger-Mueller and spectrometer results indicate a low minimum detectable neutron dose indicating that both instrument are useful as an emergency response instrument. The spectrometer has the added benefit of discriminating between surface contamination and blood sodium activation.

USE OF PORTABLE GAMMA SPECTROMETERS FOR IDENTIFYING PERSONS EXPOSED IN A NUCLEAR CRITICALITY

International Nuclear Information System (INIS)

Veinot, K.G.; Gose, B.T.; Bogard, James S.

2009-01-01

At Y-12 triage-style assessments are used to identify persons potentially exposed to high doses from criticality accident radiations using portable instruments by assessing the presence of activated sodium atoms in a person's blood. Historically, simple hand-held Geiger-Mueller (G-M) probes were used for these purposes although it was recognized that, since these instruments contain no information on incident photon energy, it was impossible to differentiate between photons emitted by contamination on the potentially exposed worker from activation of sodium in the persons blood. This works examines the use of a portable gamma spectrometer for assessing blood sodium activation. Irradiations of a representative phantom were performed using two neutron source configurations (unmoderated and polyethylene-moderated 252Cf) and measurements were made using the spectrometer and a G-M detector following irradiation. Detection limits in terms of personnel neutron dose are given for two neutron fields representing metal and solution criticality spectra. Both Geiger-Mueller and spectrometer results indicate a low minimum detectable neutron dose indicating that both instrument are useful as an emergency response instrument. The spectrometer has the added benefit of discriminating between surface contamination and blood sodium activation.

Identifying subtypes among offenders with antisocial personality disorder: a cluster-analytic study.

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Poythress, Norman G; Edens, John F; Skeem, Jennifer L; Lilienfeld, Scott O; Douglas, Kevin S; Frick, Paul J; Patrick, Christopher J; Epstein, Monica; Wang, Tao

2010-05-01

The question of whether antisocial personality disorder (ASPD) and psychopathy are largely similar or fundamentally different constructs remains unresolved. In the Diagnostic and Statistical Manual of Mental Disorders (4th ed.; DSM-IV; American Psychiatric Association, 1994), many of the personality features of psychopathy are cast as associated features of ASPD, although the DSM-IV offers no guidance as to how, or the extent to which, these features relate to ASPD. In a sample of 691 offenders who met DSM-IV criteria for ASPD, we used model-based clustering to identify subgroups of individuals with relatively homogeneous profiles on measures of associated features (psychopathic personality traits) and other constructs with potential etiological significance for subtypes of ASPD. Two emergent groups displayed profiles that conformed broadly to theoretical descriptions of primary psychopathy and Karpman's (1941) variant of secondary psychopathy. As expected, a third group (nonpsychopathic ASPD) lacked substantial associated features. A fourth group exhibited elevated psychopathic features as well as a highly fearful temperament, a profile not clearly predicted by extant models. Planned comparisons revealed theoretically informative differences between primary and secondary groups in multiple domains, including self-report measures, passive avoidance learning, clinical ratings, and official records. Our results inform ongoing debates about the overlap between psychopathy and ASPD and raise questions about the wisdom of placing most individuals who habitually violate social norms and laws into a single diagnostic category.

Proposed Interventions to Decrease the Frequency of Missed Test Results

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Wahls, Terry L.; Cram, Peter

2009-01-01

Numerous studies have identified that delays in diagnosis related to the mishandling of abnormal test results are an import contributor to diagnostic errors. Factors contributing to missed results included organizational factors, provider factors and patient-related factors. At the diagnosis error conference continuing medical education conference…

What are the appropriate methods for analyzing patient-reported outcomes in randomized trials when data are missing?

Science.gov (United States)

Hamel, J F; Sebille, V; Le Neel, T; Kubis, G; Boyer, F C; Hardouin, J B

2017-12-01

Subjective health measurements using Patient Reported Outcomes (PRO) are increasingly used in randomized trials, particularly for patient groups comparisons. Two main types of analytical strategies can be used for such data: Classical Test Theory (CTT) and Item Response Theory models (IRT). These two strategies display very similar characteristics when data are complete, but in the common case when data are missing, whether IRT or CTT would be the most appropriate remains unknown and was investigated using simulations. We simulated PRO data such as quality of life data. Missing responses to items were simulated as being completely random, depending on an observable covariate or on an unobserved latent trait. The considered CTT-based methods allowed comparing scores using complete-case analysis, personal mean imputations or multiple-imputations based on a two-way procedure. The IRT-based method was the Wald test on a Rasch model including a group covariate. The IRT-based method and the multiple-imputations-based method for CTT displayed the highest observed power and were the only unbiased method whatever the kind of missing data. Online software and Stata® modules compatibles with the innate mi impute suite are provided for performing such analyses. Traditional procedures (listwise deletion and personal mean imputations) should be avoided, due to inevitable problems of biases and lack of power.

Bone scan as a screening test for missed fractures in severely injured patients.

Science.gov (United States)

Lee, K-J; Jung, K; Kim, J; Kwon, J

2014-12-01

In many cases, patients with severe blunt trauma have multiple fractures throughout the body. These fractures are not often detectable by history or physical examination, and their diagnosis can be delayed or even missed. Thus, screening test fractures of the whole body is required after initial management. We performed this study to evaluate the reliability of bone scans for detecting missed fractures in patients with multiple severe traumas and we analyzed the causes of missed fractures by using bone scan. A bone scan is useful as a screening test for fractures of the entire body of severe trauma patients who are passed the acute phase. We reviewed the electronic medical records of severe trauma patients who underwent a bone scan from September 2009 to December 2010. Demographic and medical data were compared and statistically analyzed to determine whether missed fractures were detected after bone scan in the two groups. A total of 382 patients who had an injury severity score [ISS] greater than 16 points with multiple traumas visited the emergency room. One hundred and thirty-one patients underwent bone scan and 81 patients were identified with missed fractures by bone scan. The most frequent location for missed fractures was the rib area (55 cases, 41.98%), followed by the extremities (42 cases, 32.06%). The missed fractures that required surgery or splint were most common in extremities (11 cases). In univariate analysis, higher ISS scores and mechanism of injury were related with the probability that missed fractures would be found with a bone scan. The ISS score was statistically significant in multivariate analysis. Bone scan is an effective method of detecting missed fractures among patients with multiple severe traumas. Level IV, retrospective study. Copyright © 2014 Elsevier Masson SAS. All rights reserved.

Integrative missing value estimation for microarray data

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Zhou Xianghong

2006-10-01

Full Text Available Abstract Background Missing value estimation is an important preprocessing step in microarray analysis. Although several methods have been developed to solve this problem, their performance is unsatisfactory for datasets with high rates of missing data, high measurement noise, or limited numbers of samples. In fact, more than 80% of the time-series datasets in Stanford Microarray Database contain less than eight samples. Results We present the integrative Missing Value Estimation method (iMISS by incorporating information from multiple reference microarray datasets to improve missing value estimation. For each gene with missing data, we derive a consistent neighbor-gene list by taking reference data sets into consideration. To determine whether the given reference data sets are sufficiently informative for integration, we use a submatrix imputation approach. Our experiments showed that iMISS can significantly and consistently improve the accuracy of the state-of-the-art Local Least Square (LLS imputation algorithm by up to 15% improvement in our benchmark tests. Conclusion We demonstrated that the order-statistics-based integrative imputation algorithms can achieve significant improvements over the state-of-the-art missing value estimation approaches such as LLS and is especially good for imputing microarray datasets with a limited number of samples, high rates of missing data, or very noisy measurements. With the rapid accumulation of microarray datasets, the performance of our approach can be further improved by incorporating larger and more appropriate reference datasets.

The missed diagnosis

International Nuclear Information System (INIS)

Bundy, A.L.

1988-01-01

One of the questions that haunts the radiologist as he shuffles through piles of films is ''What am I missing?'' This same question takes on even more meaning when the radiologist is pressed for time, when he reluctantly checks the night work of the resident, when the patient left before more or better films could be obtained; or when the radiologist is involved in a subspecialty in which he is not properly trained. According to Dr. Berlin's survey, the missed diagnosis category accounted for the largest number of radiology malpractice cases. We all know that many diagnoses are more easily made using the ''retrospectoscope.'' But is the plaintiff attorney also adept at using this instrument? Just how knowledgeable must the radiologist be in the use of the ''prospectoscope''? A familiarity with cases that have already been tried should at least alert radiologists to the chances of their own involvement in litigation. While the missed diagnosis is by no means peculiar to the radiologist, it is one of the principal reasons that he may find himself in court

Double-diffractive processes in high-resolution missing-mass experiments at the Tevatron

International Nuclear Information System (INIS)

Khoze, V.A.; Martin, A.D.

2001-01-01

We evaluate, in a model-independent way, the signal-to-background ratio for Higgs→b anti b detection in exclusive double-diffractive events at the Tevatron and the LHC. For the missing-mass approach to be able to identify the Higgs boson, it will be necessary to use a central jet detector and to tag b quark jets. The signal is predicted to be very small at the Tevatron, but observable at the LHC. However we note that the background, that is double-diffractive dijet production, may serve as a unique gluon factory. We also give estimates for the double-diffractive production of χ c and χ b mesons at the Tevatron. We emphasize that a high-resolution missing-mass measurement, on its own, is insufficient to identify rare processes. (orig.)

Can Self-Declared Personal Values Be Used to Identify Those with Family Medicine Career Aspirations?

Science.gov (United States)

Beach, Renee A.; Eva, Kevin W.; Reiter, Harold I.

2008-01-01

Purpose: Self-declaration of personal values has been suggested as a means of identifying students with greater predilection for future primary care careers. While statistically significant differences have been demonstrated, absolute differences between those interested in primary care and those interested in specialist careers tend to be small.…

Missed surgical intensive care unit billing: potential financial impact of 24/7 faculty presence.

Science.gov (United States)

Hendershot, Kimberly M; Bollins, John P; Armen, Scott B; Thomas, Yalaunda M; Steinberg, Steven M; Cook, Charles H

2009-07-01

To efficiently capture evaluation and management (E&M) and procedural billing in our surgical intensive care unit (SICU), we have developed an electronic billing system that links to the electronic medical record (EMR). In this system, only notes electronically signed and coded by an attending generate billing charges. We hypothesized that capture of missed billing during nighttime and weekends might be sufficient to subsidize 24/7 in-house attending coverage. A retrospective chart EMR review was performed of the EMRs for all SICU patients during a 2-month period. Note type, date, time, attending signature, and coding were analyzed. Notes without attending signature, diagnosis, or current procedural terminology (CPT) code were considered incomplete and identified as "missed billing." Four hundred and forty-three patients had 465 admissions generating 2,896 notes. Overall, 76% of notes were signed and coded by an attending and billed. Incomplete (not billed) notes represented an overall missed billing opportunity of $159,138 for the 2-month time period (approximately $954,000 annually). Unbilled E&M encounters during weekdays totaled $54,758, whereas unbilled E&M and procedures from weeknights and weekends totaled $88,408 ($44,566 and $43,842, respectively). Missed billing after-hours thus represents approximately $530K annually, extrapolating to approximately $220K in collections from our payer mix. Surprisingly, missed E&M and procedural billing during weekdays totaled $70,730 (approximately $425K billing, approximately $170K collections annually), and typically represented patients seen, but transferred from the SICU before attending documentation was completed. Capture of nighttime and weekend ICU collections alone may be insufficient to add faculty or incentivize in-house coverage, but could certainly complement other in-house derived revenues to such ends. In addition, missed daytime billing in busy modern ICUs can be substantial, and use of an EMR to identify

Incomplete Early Childhood Immunization Series and Missing Fourth DTaP Immunizations; Missed Opportunities or Missed Visits?

Science.gov (United States)

Robison, Steve G

2013-01-01

The successful completion of early childhood immunizations is a proxy for overall quality of early care. Immunization statuses are usually assessed by up-to-date (UTD) rates covering combined series of different immunizations. However, series UTD rates often only bear on which single immunization is missing, rather than the success of all immunizations. In the US, most series UTD rates are limited by missing fourth DTaP-containing immunizations (diphtheria/tetanus/pertussis) due at 15 to 18 months of age. Missing 4th DTaP immunizations are associated either with a lack of visits at 15 to 18 months of age, or to visits without immunizations. Typical immunization data however cannot distinguish between these two reasons. This study compared immunization records from the Oregon ALERT IIS with medical encounter records for two-year olds in the Oregon Health Plan. Among those with 3 valid DTaPs by 9 months of age, 31.6% failed to receive a timely 4th DTaP; of those without a 4th DTaP, 42.1% did not have any provider visits from 15 through 18 months of age, while 57.9% had at least one provider visit. Those with a 4th DTaP averaged 2.45 encounters, while those with encounters but without 4th DTaPs averaged 2.23 encounters.

Il riconoscimento sociale del fenomeno delle persone scomparse e la risposta italiana delle istituzioni e del terzo settore

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Cristina Brandi

2012-03-01

Full Text Available In Italy, there are about 25.000 missing persons still to be found. Especially in the last 10 years the media have conveyed more and more accurate information on this phenomenon and have contributed, albeit not without critical elements, to overcome many stereotypes. The disappearance of a person, to date, is perceived not only as a private matter of the family concerned, but as an event that requires a collective responsibility, the concrete action of subjects with different skills and an effective dialogue between social systems. Even if it is at the beginning, the joint work of institutions and third sector forces in the study and intervention activities coordinated by the Government Special Commissioner for missing persons is our country's answer to the problems of missing people and their families. This paper outlines its relationships and functions, with particular attention to the association Psicologi per i Popoli.

STEM-based science learning implementation to identify student’s personal intelligences profiles

Science.gov (United States)

Wiguna, B. J. P. K.; Suwarma, I. R.; Liliawati, W.

2018-05-01

Science and technology are rapidly developing needs to be balanced with the human resources that have the qualified ability. Not only cognitive ability, but also have the soft skills that support 21st century skills. Science, Technology, Engineering, and Mathematics (STEM) Education is a solution to improve the quality of learning and prepare students may be able to trained 21st century skills. This study aims to analyse the implementation of STEM-based science learning on Newton’s law of motion by identifying the personal intelligences profile junior high school students. The method used in this research is pre experiment with the design of the study one group pre-test post-test. Samples in this study were 26 junior high school students taken using Convenience Sampling. Students personal intelligences profile after learning STEM-based science uses two instruments, self-assessment and peer assessment. Intrapersonal intelligence profile based self-assessment and peer assessment are respectively 69.38; and 64.08. As for interpersonal intelligence for self-assessment instrument is 73 and the peer assessment is 60.23.

Performance of Student Software Development Teams: The Influence of Personality and Identifying as Team Members

Science.gov (United States)

Monaghan, Conal; Bizumic, Boris; Reynolds, Katherine; Smithson, Michael; Johns-Boast, Lynette; van Rooy, Dirk

2015-01-01

One prominent approach in the exploration of the variations in project team performance has been to study two components of the aggregate personalities of the team members: conscientiousness and agreeableness. A second line of research, known as self-categorisation theory, argues that identifying as team members and the team's performance norms…

Identifying classes of persons with mild intellectual disability or borderline intellectual functioning : A latent class analysis

NARCIS (Netherlands)

Nouwens, P.J.G.; Lucas, R.; Smulders, N.B.M.; Embregts, P.J.C.M.; van Nieuwenhuizen, Ch.

2017-01-01

Background Persons with mild intellectual disability or borderline intellectual functioning are often studied as a single group with similar characteristics. However, there are indications that differences exist within this population. Therefore, the aim of this study was to identify classes of

Time Series Forecasting with Missing Values

OpenAIRE

Shin-Fu Wu; Chia-Yung Chang; Shie-Jue Lee

2015-01-01

Time series prediction has become more popular in various kinds of applications such as weather prediction, control engineering, financial analysis, industrial monitoring, etc. To deal with real-world problems, we are often faced with missing values in the data due to sensor malfunctions or human errors. Traditionally, the missing values are simply omitted or replaced by means of imputation methods. However, omitting those missing values may cause temporal discontinuity. Imputation methods, o...

Missing value imputation: with application to handwriting data

Science.gov (United States)

Xu, Zhen; Srihari, Sargur N.

2015-01-01

Missing values make pattern analysis difficult, particularly with limited available data. In longitudinal research, missing values accumulate, thereby aggravating the problem. Here we consider how to deal with temporal data with missing values in handwriting analysis. In the task of studying development of individuality of handwriting, we encountered the fact that feature values are missing for several individuals at several time instances. Six algorithms, i.e., random imputation, mean imputation, most likely independent value imputation, and three methods based on Bayesian network (static Bayesian network, parameter EM, and structural EM), are compared with children's handwriting data. We evaluate the accuracy and robustness of the algorithms under different ratios of missing data and missing values, and useful conclusions are given. Specifically, static Bayesian network is used for our data which contain around 5% missing data to provide adequate accuracy and low computational cost.

STUDY ON MATERNAL MORTALITY AND NEAR MISS CASE

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Ritanjali Behera

2017-12-01

Full Text Available BACKGROUND Maternal mortality traditionally has been the indicator of maternal health. More recently the review of cases of near miss obstetric event is found to be useful to investigate maternal mortality. Cases of near miss are those, where a woman nearly died but survived a complication that occur during pregnancy or child birth. Aim and Objective 1. To analyse near miss cases and maternal deaths. 2. To determine maternal near miss indicator and to analyse the cause and contributing factors for both of them. MATERIALS AND METHODS This prospective observational study conducted in M.K.C.G. medical college, Berhampur from 1st October 2015 to 30th September 2017. All the cases of maternal deaths and near miss cases defined by WHO criteria are taken. Information regarding demographic profile and reproductive parameters are collected and results are analysed using percentage and proportion. RESULTS Out of 17977 deliveries 201 were near miss cases and 116 were maternal deaths. MMR was 681, near miss incidence 1.18, maternal death to near miss ratio was 1:1.73. Hypertensive disorder of pregnancy (37.4% was the leading cause followed by haemorrhage (17.4%. For near miss cases 101 cases fulfilled clinical criteria, 61 laboratory criteria and 131 cases management based criteria. CONCLUSION Hypertensive disorder of pregnancy and haemorrhage are the leading cause of maternal death and for near miss cases most common organ system involved was cardiovascular system. All the near miss cases should be interpreted as opportunities to improve the health care services.

Methods for Mediation Analysis with Missing Data

Science.gov (United States)

Zhang, Zhiyong; Wang, Lijuan

2013-01-01

Despite wide applications of both mediation models and missing data techniques, formal discussion of mediation analysis with missing data is still rare. We introduce and compare four approaches to dealing with missing data in mediation analysis including list wise deletion, pairwise deletion, multiple imputation (MI), and a two-stage maximum…

Missing transverse energy performance of the CMS detector

Energy Technology Data Exchange (ETDEWEB)

Chatrchyan, Serguei [Yerevan Physics Inst. (Armenia); et al.

2011-09-01

During 2010 the LHC delivered pp collisions with a centre-of-mass energy of 7 TeV. In this paper, the results of comprehensive studies of missing transverse energy as measured by the CMS detector are presented. The results cover the measurements of the scale and resolution for missing transverse energy, and the effects of multiple pp interactions within the same bunch crossings on the scale and resolution. Anomalous measurements of missing transverse energy are studied, and algorithms for their identification are described. The performances of several reconstruction algorithms for calculating missing transverse energy are compared. An algorithm, called missing-transverse-energy significance, which estimates the compatibility of the reconstructed missing transverse energy with zero, is described, and its performance is demonstrated.

Missing transverse energy performance of the CMS detector

International Nuclear Information System (INIS)

2011-01-01

During 2010 the LHC delivered pp collisions with a centre-of-mass energy of 7 TeV. In this paper, the results of comprehensive studies of missing transverse energy as measured by the CMS detector are presented. The results cover the measurements of the scale and resolution for missing transverse energy, and the effects of multiple pp interactions within the same bunch crossings on the scale and resolution. Anomalous measurements of missing transverse energy are studied, and algorithms for their identification are described. The performance of several reconstruction algorithms for calculating missing transverse energy are compared. An algorithm, called missing-transverse-energy significance, which estimates the compatibility of the reconstructed missing transverse energy with zero, is described, and its performance is demonstrated.

Applying modern error theory to the problem of missed injuries in trauma.

Science.gov (United States)

Clarke, D L; Gouveia, J; Thomson, S R; Muckart, D J J

2008-06-01

Modern theory of human error has helped reduce the incidence of adverse events in commercial aviation. It remains unclear whether these lessons are applicable to adverse events in trauma surgery. Missed injuries in a large metropolitan surgical service were prospectively audited and analyzed using a modern error taxonomy to define its applicability to trauma. A prospective database of all patients who experienced a missed injury during a 6-month period in a busy surgical service was maintained from July 2006. A missed injury was defined as one that escaped detection from primary assessment to operative exploration. Each missed injury was recorded and categorized. The clinical significance of the error and the level of physician responsible was documented. Errors were divided into planning or execution errors, acts of omission or commission, or violations, slips, and lapses. A total of 1,024 trauma patients were treated by the surgical services over the 6-month period from July to December 2006 in Pietermaritzburg. Thirty-four patients (2.5%) with missed injuries were identified during this period. There were 29 men and 5 women with an average age of 29 years (range: 21-67 years). In 14 patients, errors were related to inadequate clinical assessment. In 11 patients errors involved the misinterpretation of, or failure to respond to radiological imaging. There were 9 cases in which an injury was missed during surgical exploration. Overall mortality was 27% (9 patients). In 5 cases death was directly attributable to the missed injury. The level of the physicians making the error was consultant surgeon (4 cases), resident in training (15 cases), career medical officer (2 cases), referring doctor (6 cases). Missed injuries are uncommon and are made by all grades of staff. They are associated with increased morbidity and mortality. Understanding the pattern of these errors may help develop error-reduction strategies. Current taxonomies help in understanding the error

Substance use among persons with mild intellectual disability: Approaches to screening and interviewing

NARCIS (Netherlands)

Nagel, J.E.L. van der; Kemna, L.; Didden, H.C.M.

2013-01-01

Abuse of substances by persons with a mild or borderline intellectual disability (IQ 50-85) (ID) is frequently missed, as our cases illustrate. The first client, a 19-year-old man, denied illicit drug use on admittance to a facility for persons with ID. His mood swings, irritability, and fatigue

An interference account of the missing-VP effect

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Markus eBader

2015-06-01

Full Text Available Sentences with doubly center-embedded relative clauses in which a verb phrase (VP is missing are sometimes perceived as grammatical, thus giving rise to an illusion of grammaticality. In this paper, we provide a new account of why missing-VP sentences, which are both complex and ungrammatical, lead to an illusion of grammaticality, the so-called missing-VP effect. We propose that the missing-VP effect in particular, and processing difficulties with multiply center-embedded clauses more generally, are best understood as resulting from interference during cue-based retrieval. When processing a sentence with double center-embedding, a retrieval error due to interference can cause the verb of an embedded clause to be erroneously attached into a higher clause. This can lead to an illusion of grammaticality in the case of missing-VP sentences and to processing complexity in the case of complete sentences with double center-embedding. Evidence for an interference account of the missing-VP effect comes from experiments that have investigated the missing-VP effect in German using a speeded grammaticality judgments procedure. We review this evidence and then present two new experiments that show that the missing VP effect can be found in German also with less restricting procedures. One experiment was a questionnaire study which required grammaticality judgments from participants but without imposing any time constraints. The second experiment used a self-paced reading procedure and did not require any judgments. Both experiments confirm the prior findings of missing-VP effects in German and also show that the missing-VP effect is subject to a primacy effect as known from the memory literature. Based on this evidence, we argue that an account of missing-VP effects in terms of interference during cue-based retrieval is superior to accounts in terms of limited memory resources or in terms of experience with embedded structures.

Missed opportunities in personal branding: finding solutions through luxury branding

OpenAIRE

Graus, Chidi

2014-01-01

This masters dissertation focuses on personal brand management and luxury brand management and attempts to link both concepts through the analysis of luxury brand management. 24 anti-laws of marketing suggested by Kapferer and Bastien (2009) serve as an inspiration for the empirical qualitative research that has been conducted in this masters dissertation. As these anti-laws of marketing are considered to be key success factors in luxury brand management, this research makes an attempt in tra...

Personality and personal network type

NARCIS (Netherlands)

Doeven-Eggens, Lilian; De Fruyt, Filip; Hendriks, A. A. Jolijn; Bosker, Roel J.; Van der Werf, Margaretha P. C.

2008-01-01

The association between personality and personal relationships is mostly studied within dyadic relationships. We examined these variables within the context of personal network types. We used Latent Class Analysis to identify groups Of Students with similar role relationships with three focal

Breast carcinomas: why are they missed?

Science.gov (United States)

Muttarak, M; Pojchamarnwiputh, S; Chaiwun, B

2006-10-01

Mammography has proven to be an effective modality for the detection of early breast carcinoma. However, 4-34 percent of breast cancers may be missed at mammography. Delayed diagnosis of breast carcinoma results in an unfavourable prognosis. The objective of this study was to determine the causes and characteristics of breast carcinomas missed by mammography at our institution, with the aim of reducing the rate of missed carcinoma. We reviewed the reports of 13,191 mammograms performed over a five-year period. Breast Imaging Reporting and Data Systems (BI-RADS) were used for the mammographical assessment, and reports were cross-referenced with the histological diagnosis of breast carcinoma. Causes of missed carcinomas were classified. Of 344 patients who had breast carcinoma and had mammograms done prior to surgery, 18 (5.2 percent) failed to be diagnosed by mammography. Of these, five were caused by dense breast parenchyma obscuring the lesions, 11 were due to perception and interpretation errors, and one each from unusual lesion characteristics and poor positioning. Several factors, including dense breast parenchyma obscuring a lesion, perception error, interpretation error, unusual lesion characteristics, and poor technique or positioning, are possible causes of missed breast cancers.

The impact of 'missed care' on the professional socialisation of nursing students: A qualitative research study.

Science.gov (United States)

Gibbon, Bernard; Crane, Julie

2018-04-07

Missed care is a recently described concept that is subject to an increasing amount of international nursing research. The impact of missed care is associated with poorer patient outcomes (mortality and morbidity) and poorer levels of patient satisfaction with the services provided by the hospital. Missed care has also been linked to decreased staff satisfaction and increased intention to leave. Overall disaffection amongst registered nurses has also been reported. Professional socialisation refers to the acquisition of behaviours within cultural norms, and it has been suggested that students enter a period of professional socialisation during their programme. Whilst it has been proposed that students may absorb the characteristics of those around them, to date, no empirical studies have reported the impact of missed care on student nurses. The aim of this project is to explore the impact of missed care on the professional socialisation of student nurses. A qualitative study was undertaken in one higher education institute in UK with final year pre-registration nursing degree (adult field) students. Focus group interviews, utilizing a broad topic guide, were used to collect data which was analysed using thematic analysis. Student nurses were aware that some planned care is missed and these findings resonated with those identified in the literature. In addition to illuminating aspects of professional socialisation, analysis yielded five themes with regards to missed care: awareness, rationale, impact, strategies to avoid and influence of missed care on career aspiration. Student nurses exposed to missed care appear to accept this as part of their professional socialisation. With regards to professional socialisation, student nurses developed a pragmatic acceptance that care would be missed and that this could happen in any environment. As such they did not see missed care as influencing their career aspirations. Copyright © 2018 Elsevier Ltd. All rights reserved.

Baseline Predictors of Missed Visits in the Look AHEAD Study

Science.gov (United States)

Fitzpatrick, Stephanie L.; Jeffery, Robert; Johnson, Karen C.; Roche, Cathy C.; Van Dorsten, Brent; Gee, Molly; Johnson, Ruby Ann; Charleston, Jeanne; Dotson, Kathy; Walkup, Michael P.; Hill-Briggs, Felicia; Brancati, Frederick L.

2013-01-01

Objective To identify baseline attributes associated with consecutively missed data collection visits during the first 48 months of Look AHEAD—a randomized, controlled trial in 5145 overweight/obese adults with type 2 diabetes designed to determine the long-term health benefits of weight loss achieved by lifestyle change. Design and Methods The analyzed sample consisted of 5016 participants who were alive at month 48 and enrolled at Look AHEAD sites. Demographic, baseline behavior, psychosocial factors, and treatment randomization were included as predictors of missed consecutive visits in proportional hazard models. Results In multivariate Cox proportional hazard models, baseline attributes of participants who missed consecutive visits (n=222) included: younger age ( Hazard Ratio [HR] 1.18 per 5 years younger; 95% Confidence Interval 1.05, 1.30), higher depression score (HR 1.04; 1.01, 1.06), non-married status (HR 1.37; 1.04, 1.82), never self-weighing prior to enrollment (HR 2.01; 1.25, 3.23), and randomization to minimal vs. intensive lifestyle intervention (HR 1.46; 1.11, 1.91). Conclusions Younger age, symptoms of depression, non-married status, never self-weighing, and randomization to minimal intervention were associated with a higher likelihood of missing consecutive data collection visits, even in a high-retention trial like Look AHEAD. Whether modifications to screening or retention efforts targeted to these attributes might enhance long-term retention in behavioral trials requires further investigation. PMID:23996977

Can empathy, other personality attributes, and level of positive social influence in medical school identify potential leaders in medicine?

Science.gov (United States)

Hojat, Mohammadreza; Michalec, Barret; Veloski, J Jon; Tykocinski, Mark L

2015-04-01

To test the hypotheses that medical students recognized by peers as the most positive social influencers would score (1) high on measures of engaging personality attributes that are conducive to relationship building (empathy, sociability, activity, self-esteem), and (2) low on disengaging personality attributes that are detrimental to interpersonal relationships (loneliness, neuroticism, aggression-hostility, impulsive sensation seeking). The study included 666 Jefferson Medical College students who graduated in 2011-2013. Students used a peer nomination instrument to identify classmates who had a positive influence on their professional and personal development. At matriculation, these students had completed a survey that included the Jefferson Scale of Empathy and Zuckerman-Kuhlman Personality Questionnaire short form and abridged versions of the Rosenberg Self-Esteem Scale and UCLA Loneliness Scale. In multivariate analyses of variance, the method of contrasted groups was used to compare the personality attributes of students nominated most frequently by their peers as positive influencers (top influencers [top 25% in their class distribution], n = 176) with those of students nominated least frequently (bottom influencers [bottom 25%], n = 171). The top influencers scored significantly higher on empathy, sociability, and activity and significantly lower on loneliness compared with the bottom influencers. However, the effect size estimates of the differences were moderate at best. The research hypotheses were partially confirmed. Positive social influencers appear to possess personality attributes conducive to relationship building, which is an important feature of effective leadership. The findings have implications for identifying and training potential leaders in medicine.

Personality Preferences in Students Identified as Gifted

Science.gov (United States)

Bjercke, Carol

2006-01-01

School achievement and even intelligence have been linked to personality styles. Extroversion (the desire to be surrounded by people) and introversion (the desire to be alone in a quiet area) are two of these styles. More students and teachers tend to be extroverted, so this style is more prominent in schools. Extroverts and introverts have almost…

Bioinspired Computational Approach to Missing Value Estimation

Directory of Open Access Journals (Sweden)

Israel Edem Agbehadji

2018-01-01

Full Text Available Missing data occurs when values of variables in a dataset are not stored. Estimating these missing values is a significant step during the data cleansing phase of a big data management approach. The reason of missing data may be due to nonresponse or omitted entries. If these missing data are not handled properly, this may create inaccurate results during data analysis. Although a traditional method such as maximum likelihood method extrapolates missing values, this paper proposes a bioinspired method based on the behavior of birds, specifically the Kestrel bird. This paper describes the behavior and characteristics of the Kestrel bird, a bioinspired approach, in modeling an algorithm to estimate missing values. The proposed algorithm (KSA was compared with WSAMP, Firefly, and BAT algorithm. The results were evaluated using the mean of absolute error (MAE. A statistical test (Wilcoxon signed-rank test and Friedman test was conducted to test the performance of the algorithms. The results of Wilcoxon test indicate that time does not have a significant effect on the performance, and the quality of estimation between the paired algorithms was significant; the results of Friedman test ranked KSA as the best evolutionary algorithm.

Obstetric near-miss and maternal mortality in maternity university hospital, Damascus, Syria: a retrospective study

Directory of Open Access Journals (Sweden)

Al Chamat Ahmad

2010-10-01

Full Text Available Abstract Background Investigating severe maternal morbidity (near-miss is a newly recognised tool that identifies women at highest risk of maternal death and helps allocate resources especially in low income countries. This study aims to i. document the frequency and nature of maternal near-miss at hospital level in Damascus, Capital of Syria, ii. evaluate the level of care at maternal life-saving emergency services by comparatively analysing near-misses and maternal mortalities. Methods Retrospective facility-based review of cases of near-miss and maternal mortality that took place in the years 2006-2007 at Damascus Maternity University Hospital, Syria. Near-miss cases were defined based on disease-specific criteria (Filippi 2005 including: haemorrhage, hypertensive disorders in pregnancy, dystocia, infection and anaemia. Main outcomes included maternal mortality ratio (MMR, maternal near miss ratio (MNMR, mortality indices and proportion of near-miss cases and mortality cases to hospital admissions. Results There were 28 025 deliveries, 15 maternal deaths and 901 near-miss cases. The study showed a MNMR of 32.9/1000 live births, a MMR of 54.8/100 000 live births and a relatively low mortality index of 1.7%. Hypertensive disorders (52% and haemorrhage (34% were the top causes of near-misses. Late pregnancy haemorrhage was the leading cause of maternal mortality (60% while sepsis had the highest mortality index (7.4%. Most cases (93% were referred in critical conditions from other facilities; namely traditional birth attendants homes (67%, primary (5% and secondary (10% healthcare unites and private practices (11%. 26% of near-miss cases were admitted to Intensive Care Unit (ICU. Conclusion Near-miss analyses provide valuable information on obstetric care. The study highlights the need to improve antenatal care which would help early identification of high risk pregnancies. It also emphasises the importance of both: developing protocols to

Obstetric near-miss and maternal mortality in maternity university hospital, Damascus, Syria: a retrospective study.

Science.gov (United States)

Almerie, Yara; Almerie, Muhammad Q; Matar, Hosam E; Shahrour, Yasser; Al Chamat, Ahmad Abo; Abdulsalam, Asmaa

2010-10-19

Investigating severe maternal morbidity (near-miss) is a newly recognised tool that identifies women at highest risk of maternal death and helps allocate resources especially in low income countries. This study aims to i. document the frequency and nature of maternal near-miss at hospital level in Damascus, Capital of Syria, ii. evaluate the level of care at maternal life-saving emergency services by comparatively analysing near-misses and maternal mortalities. Retrospective facility-based review of cases of near-miss and maternal mortality that took place in the years 2006-2007 at Damascus Maternity University Hospital, Syria. Near-miss cases were defined based on disease-specific criteria (Filippi 2005) including: haemorrhage, hypertensive disorders in pregnancy, dystocia, infection and anaemia. Main outcomes included maternal mortality ratio (MMR), maternal near miss ratio (MNMR), mortality indices and proportion of near-miss cases and mortality cases to hospital admissions. There were 28,025 deliveries, 15 maternal deaths and 901 near-miss cases. The study showed a MNMR of 32.9/1000 live births, a MMR of 54.8/100,000 live births and a relatively low mortality index of 1.7%. Hypertensive disorders (52%) and haemorrhage (34%) were the top causes of near-misses. Late pregnancy haemorrhage was the leading cause of maternal mortality (60%) while sepsis had the highest mortality index (7.4%). Most cases (93%) were referred in critical conditions from other facilities; namely traditional birth attendants homes (67%), primary (5%) and secondary (10%) healthcare unites and private practices (11%). 26% of near-miss cases were admitted to Intensive Care Unit (ICU). Near-miss analyses provide valuable information on obstetric care. The study highlights the need to improve antenatal care which would help early identification of high risk pregnancies. It also emphasises the importance of both: developing protocols to prevent/manage post-partum haemorrhage and training health

Dealing with missing standard deviation and mean values in meta-analysis of continuous outcomes: a systematic review.

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Weir, Christopher J; Butcher, Isabella; Assi, Valentina; Lewis, Stephanie C; Murray, Gordon D; Langhorne, Peter; Brady, Marian C

2018-03-07

Rigorous, informative meta-analyses rely on availability of appropriate summary statistics or individual participant data. For continuous outcomes, especially those with naturally skewed distributions, summary information on the mean or variability often goes unreported. While full reporting of original trial data is the ideal, we sought to identify methods for handling unreported mean or variability summary statistics in meta-analysis. We undertook two systematic literature reviews to identify methodological approaches used to deal with missing mean or variability summary statistics. Five electronic databases were searched, in addition to the Cochrane Colloquium abstract books and the Cochrane Statistics Methods Group mailing list archive. We also conducted cited reference searching and emailed topic experts to identify recent methodological developments. Details recorded included the description of the method, the information required to implement the method, any underlying assumptions and whether the method could be readily applied in standard statistical software. We provided a summary description of the methods identified, illustrating selected methods in example meta-analysis scenarios. For missing standard deviations (SDs), following screening of 503 articles, fifteen methods were identified in addition to those reported in a previous review. These included Bayesian hierarchical modelling at the meta-analysis level; summary statistic level imputation based on observed SD values from other trials in the meta-analysis; a practical approximation based on the range; and algebraic estimation of the SD based on other summary statistics. Following screening of 1124 articles for methods estimating the mean, one approximate Bayesian computation approach and three papers based on alternative summary statistics were identified. Illustrative meta-analyses showed that when replacing a missing SD the approximation using the range minimised loss of precision and generally

Estimated conditional score function for missing mechanism model with nonignorable nonresponse

Institute of Scientific and Technical Information of China (English)

CUI Xia; ZHOU Yong

2017-01-01

Missing data mechanism often depends on the values of the responses,which leads to nonignorable nonresponses.In such a situation,inference based on approaches that ignore the missing data mechanism could not be valid.A crucial step is to model the nature of missingness.We specify a parametric model for missingness mechanism,and then propose a conditional score function approach for estimation.This approach imputes the score function by taking the conditional expectation of the score function for the missing data given the available information.Inference procedure is then followed by replacing unknown terms with the related nonparametric estimators based on the observed data.The proposed score function does not suffer from the non-identifiability problem,and the proposed estimator is shown to be consistent and asymptotically normal.We also construct a confidence region for the parameter of interest using empirical likelihood method.Simulation studies demonstrate that the proposed inference procedure performs well in many settings.We apply the proposed method to a data set from research in a growth hormone and exercise intervention study.

A systematic review and development of a classification framework for factors associated with missing patient-reported outcome data.

Science.gov (United States)

Palmer, Michael J; Mercieca-Bebber, Rebecca; King, Madeleine; Calvert, Melanie; Richardson, Harriet; Brundage, Michael

2018-02-01

Missing patient-reported outcome data can lead to biased results, to loss of power to detect between-treatment differences, and to research waste. Awareness of factors may help researchers reduce missing patient-reported outcome data through study design and trial processes. The aim was to construct a Classification Framework of factors associated with missing patient-reported outcome data in the context of comparative studies. The first step in this process was informed by a systematic review. Two databases (MEDLINE and CINAHL) were searched from inception to March 2015 for English articles. Inclusion criteria were (a) relevant to patient-reported outcomes, (b) discussed missing data or compliance in prospective medical studies, and (c) examined predictors or causes of missing data, including reasons identified in actual trial datasets and reported on cover sheets. Two reviewers independently screened titles and abstracts. Discrepancies were discussed with the research team prior to finalizing the list of eligible papers. In completing the systematic review, four particular challenges to synthesizing the extracted information were identified. To address these challenges, operational principles were established by consensus to guide the development of the Classification Framework. A total of 6027 records were screened. In all, 100 papers were eligible and included in the review. Of these, 57% focused on cancer, 23% did not specify disease, and 20% reported for patients with a variety of non-cancer conditions. In total, 40% of the papers offered a descriptive analysis of possible factors associated with missing data, but some papers used other methods. In total, 663 excerpts of text (units), each describing a factor associated with missing patient-reported outcome data, were extracted verbatim. Redundant units were identified and sequestered. Similar units were grouped, and an iterative process of consensus among the investigators was used to reduce these units to a

Social Networking Privacy Control: Exploring University Variables Related to Young Adults' Sharing of Personally Identifiable Information

Science.gov (United States)

Zimmerman, Melisa S.

2014-01-01

The growth of the Internet, and specifically social networking sites (SNSs) like Facebook, create opportunities for individuals to share private and identifiable information with a closed or open community. Internet crime has been on the rise and research has shown that criminals are using individuals' personal information pulled from social…

Planned Missing Data Designs in Educational Psychology Research

NARCIS (Netherlands)

Rhemtulla, M.; Hancock, G.R.

2016-01-01

Although missing data are often viewed as a challenge for applied researchers, in fact missing data can be highly beneficial. Specifically, when the amount of missing data on specific variables is carefully controlled, a balance can be struck between statistical power and research costs. This

Scalable Tensor Factorizations with Missing Data

DEFF Research Database (Denmark)

Acar, Evrim; Dunlavy, Daniel M.; Kolda, Tamara G.

2010-01-01

of missing data, many important data sets will be discarded or improperly analyzed. Therefore, we need a robust and scalable approach for factorizing multi-way arrays (i.e., tensors) in the presence of missing data. We focus on one of the most well-known tensor factorizations, CANDECOMP/PARAFAC (CP...... is shown to successfully factor tensors with noise and up to 70% missing data. Moreover, our approach is significantly faster than the leading alternative and scales to larger problems. To show the real-world usefulness of CP-WOPT, we illustrate its applicability on a novel EEG (electroencephalogram...

Using a personality inventory to identify risk of distress and burnout among early stage medical students.

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Bughi, Stephanie A; Lie, Desiree A; Zia, Stephanie K; Rosenthal, Jane

2017-01-01

Distress and burnout are common among medical students and negatively impact students' physical, mental, and emotional health. Personality inventories such as the Myers-Briggs Type Indicator (MBTI), used in medical education, may have a role in identifying burnout risk early. The authors conducted a cross-sectional survey study among 185 1st year medical students with the MBTI, the general well-being schedule (GWB), and Maslach Burnout Inventory-Student Survey (MBI-SS). Descriptive statistics and one-way MANOVAs were used to identify the prevalence and differences in MBTI preferences and distress/burnout risk. Response rate was 185/185 (100%). Distress (GWB) was reported by 84/185 (45.4%). High scores on exhaustion were reported by 118/182 (64.8%), cynicism by 76/182 (41.8%), and decreased professional efficacy by 38/182 (20.9%) for the three dimensions of the MBI-SS. Only 21/182 (11.5%) of respondents had high scores on all three dimensions of burnout. Students with MBTI preferences for extraversion reported greater positive well-being (P burnout are prevalent early in medical training. The significant difference between extraversion and introversion in relation to distress and burnout deserves further study. Use of a personality inventory may help identify students at risk of burnout and allow appropriate early stress management.

Point of care experience with pneumococcal and influenza vaccine documentation among persons aged ≥65 years: high refusal rates and missing information.

Science.gov (United States)

Brownfield, Elisha; Marsden, Justin E; Iverson, Patty J; Zhao, Yumin; Mauldin, Patrick D; Moran, William P

2012-09-01

Missed opportunities to vaccinate and refusal of vaccine by patients have hindered the achievement of national health care goals. The meaningful use of electronic medical records should improve vaccination rates, but few studies have examined the content of these records. In our vaccine intervention program using an electronic record with physician prompts, paper prompts, and nursing standing orders, we were unable to achieve national vaccine goals, due in large part to missing information and patient refusal. Copyright © 2012 Association for Professionals in Infection Control and Epidemiology, Inc. Published by Mosby, Inc. All rights reserved.

Spacecraft intercept guidance using zero effort miss steering

Science.gov (United States)

Newman, Brett

The suitability of proportional navigation, or an equivalent zero effort miss formulation, for spacecraft intercepts during midcourse guidance, followed by a ballistic coast to the endgame, is addressed. The problem is formulated in terms of relative motion in a general 3D framework. The proposed guidance law for the commanded thrust vector orientation consists of the sum of two terms: (1) along the line of sight unit direction and (2) along the zero effort miss component perpendicular to the line of sight and proportional to the miss itself and a guidance gain. If the guidance law is to be suitable for longer range targeting applications with significant ballistic coasting after burnout, determination of the zero effort miss must account for the different gravitational accelerations experienced by each vehicle. The proposed miss determination techniques employ approximations for the true differential gravity effect. Theoretical results are applied to a numerical engagement scenario and the resulting performance is evaluated in terms of the miss distances determined from nonlinear simulation.

Methods to Minimize Zero-Missing Phenomenon

DEFF Research Database (Denmark)

da Silva, Filipe Miguel Faria; Bak, Claus Leth; Gudmundsdottir, Unnur Stella

2010-01-01

With the increasing use of high-voltage AC cables at transmission levels, phenomena such as current zero-missing start to appear more often in transmission systems. Zero-missing phenomenon can occur when energizing cable lines with shunt reactors. This may considerably delay the opening of the ci...

Identifying Robust Co-Occurrence Patterns in Personal Care Product Purchases

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Personal care products (PCPs) are used for beautification and personal hygiene, and because they are applied to the skin, hair, and mouth, they provide an efficient delivery vehicle for chemicals into our bodies. Although efforts have been made to enumerate the chemicals in indiv...

Identifying preferred format and source of exercise information in persons with multiple sclerosis that can be delivered by health-care providers.

Science.gov (United States)

Learmonth, Yvonne C; Adamson, Brynn C; Balto, Julia M; Chiu, Chung-Yi; Molina-Guzman, Isabel M; Finlayson, Marcia; Riskin, Barry J; Motl, Robert W

2017-10-01

There is increasing recognition of the benefits of exercise in individuals with multiple sclerosis (MS), yet the MS population does not engage in sufficient amounts of exercise to accrue health benefits. There has been little qualitative inquiry to establish the preferred format and source for receiving exercise information from health-care providers among persons with MS. We sought to identify the desired and preferred format and source of exercise information for persons with MS that can be delivered through health-care providers. Participants were adults with MS who had mild or moderate disability and participated in a range of exercise levels. All participants lived in the Midwest of the United States. Fifty semi-structured interviews were conducted and analysed using thematic analysis. Two themes emerged, (i) approach for receiving exercise promotion and (ii) ideal person for promoting exercise. Persons with MS want to receive exercise information through in-person consultations with health-care providers, print media and electronic media. Persons with MS want to receive exercise promotion from health-care providers with expertise in MS (ie neurologists) and with expertise in exercise (eg physical therapists). These data support the importance of understanding how to provide exercise information to persons with MS and identifying that health-care providers including neurologists and physical therapists should be involved in exercise promotion. © 2017 The Authors Health Expectations Published by John Wiley & Sons Ltd.

Preventing Sexual Violence Through Bystander Intervention: Attitudes, Behaviors, Missed Opportunities, and Barriers to Intervention Among Australian University Students.

Science.gov (United States)

Kania, Rachel; Cale, Jesse

2018-03-01

The concept of bystander intervention is gaining popularity in universities as a mechanism to prevent sexual violence. Prior research has focused on correlates of bystanders' intentions to intervene and intervention behaviors in situations where there is a risk of sexual violence. The current study builds on this literature by exploring the nature of missed opportunities, including perceived barriers to intervention. In all, 380 Australian undergraduate university students completed an online survey. Measures included a rape myth acceptance scale, bystander intentions to intervene, actual intervention behaviors, missed opportunities for intervention, and perceived barriers for missed opportunities. Promisingly, students reported high levels of intentions to intervene in situations where there was a risk of sexual violence and reported relatively few missed opportunities to do so when these situations did occur. Intervention behaviors varied by important demographic characteristics such as gender, age, attitudes toward sexual violence, and the nature of the situation. Younger female students, with lower levels of rape myth acceptance, who had previously engaged in bystander intervention behaviors were more likely to report intentions to intervene in future risky situations, and female international students reported fewer missed opportunities for intervention. The most common barrier to intervention for identified missed opportunities was a failure to recognize situations as having a potential risk for sexual violence, and students were most likely to intervene in situations when the opportunity to help a friend in distress arose. This study provides some preliminary empirical evidence about bystander intervention against sexual violence among Australian university students, and identifies unique contexts for intervention and what current barriers to intervention may be.

Exploring Missing Values on Responses to Experienced and Labeled Event as Harassment in 2004 Reserves Data

Science.gov (United States)

2008-07-01

Personal Experiences of Sexual Harassment and Missing Values on Sexual Harassment Questions by Perceptions of Sexism in a Unit (Quartiles... sexism in a unit). The “worst” category indicates units with the highest levels of reported sexist behavior, and the “best” category indicates the...Education and Prevention, 19 (6), 519–530. Harris, R. J., & Firestone, J. M., (1997). Subtle sexism in the U.S. Military: Individual responses to

Using the missed opportunity tool as an application of the Lives Saved Tool (LiST) for intervention prioritization.

Science.gov (United States)

Tam, Yvonne; Pearson, Luwei

2017-11-07

The Missed Opportunity tool was developed as an application in the Lives Saved Tool (LiST) to allow users to quickly compare the relative impact of interventions. Global Financing Facility (GFF) investment cases have been identified as a potential application of the Missed Opportunity analyses in Democratic Republic of the Congo (DRC), Ethiopia, Kenya, and Tanzania, to use 'lives saved' as a normative factor to set priorities. The Missed Opportunity analysis draws on data and methods in LiST to project maternal, stillbirth, and child deaths averted based on changes in interventions' coverage. Coverage of each individual intervention in LiST was automated to be scaled up from current coverage to 90% in the next year, to simulate a scenario where almost every mother and child receive proven interventions that they need. The main outcome of the Missed Opportunity analysis is deaths averted due to each intervention. When reducing unmet need for contraception is included in the analysis, it ranks as the top missed opportunity across the four countries. When it is not included in the analysis, top interventions with the most total deaths averted are hospital-based interventions such as labor and delivery management in the CEmOC and BEmOC level, and full treatment and supportive care for premature babies, and for sepsis/pneumonia. The Missed Opportunity tool can be used to provide a quick, first look at missed opportunities in a country or geographic region, and help identify interventions for prioritization. While it is a useful advocate for evidence-based priority setting, decision makers need to consider other factors that influence decision making, and also discuss how to implement, deliver, and sustain programs to achieve high coverage.

Substituting missing data in compositional analysis

Energy Technology Data Exchange (ETDEWEB)

Real, Carlos, E-mail: carlos.real@usc.es [Area de Ecologia, Departamento de Biologia Celular y Ecologia, Escuela Politecnica Superior, Universidad de Santiago de Compostela, 27002 Lugo (Spain); Angel Fernandez, J.; Aboal, Jesus R.; Carballeira, Alejo [Area de Ecologia, Departamento de Biologia Celular y Ecologia, Facultad de Biologia, Universidad de Santiago de Compostela, 15782 Santiago de Compostela (Spain)

2011-10-15

Multivariate analysis of environmental data sets requires the absence of missing values or their substitution by small values. However, if the data is transformed logarithmically prior to the analysis, this solution cannot be applied because the logarithm of a small value might become an outlier. Several methods for substituting the missing values can be found in the literature although none of them guarantees that no distortion of the structure of the data set is produced. We propose a method for the assessment of these distortions which can be used for deciding whether to retain or not the samples or variables containing missing values and for the investigation of the performance of different substitution techniques. The method analyzes the structure of the distances among samples using Mantel tests. We present an application of the method to PCDD/F data measured in samples of terrestrial moss as part of a biomonitoring study. - Highlights: > Missing values in multivariate data sets must be substituted prior to analysis. > The substituted values can modify the structure of the data set. > We developed a method to estimate the magnitude of the alterations. > The method is simple and based on the Mantel test. > The method allowed the identification of problematic variables in a sample data set. - A method is presented for the assessment of the possible distortions in multivariate analysis caused by the substitution of missing values.

Software for handling and replacement of missing data

Directory of Open Access Journals (Sweden)

Mayer, Benjamin

2009-10-01

Full Text Available In medical research missing values often arise in the course of a data analysis. This fact constitutes a problem for different reasons, so e.g. standard methods for analyzing data lead to biased estimates and a loss of statistical power due to missing values, since those methods require complete data sets and therefore omit incomplete cases for the analyses. Furthermore missing values imply a certain loss of information for what reason the validity of results of a study with missing values has to be rated less than in a case where all data had been available. For years there are methods for replacement of missing values (Rubin, Schafer to tackle these problems and solve them in parts. Hence in this article we want to present the existing software to handle and replace missing values on the one hand and give an outline about the available options to get information on the other hand. The methodological aspects of the replacement strategies are delineated just briefly in this article.

A Quest for Missing Proteins : update 2015 on Chromosome-Centric Human Proteome Project

NARCIS (Netherlands)

Horvatovich, Péter; Lundberg, Emma K; Chen, Yu-Ju; Sung, Ting-Yi; He, Fuchu; Nice, Edouard C; Goode, Robert J A; Yu, Simon; Ranganathan, Shoba; Baker, Mark S; Domont, Gilberto B; Velasquez, Erika; Li, Dong; Liu, Siqi; Wang, Quanhui; He, Qing-Yu; Menon, Rajasree; Guan, Yuanfang; Corrales, Fernando Jose; Segura, Victor; Casal, José Ignacio; Pascual-Montano, Alberto; Albar, Juan Pablo; Fuentes, Manuel; Gonzalez-Gonzalez, Maria; Diez, Paula; Ibarrola, Nieves; Degano, Rosa M; Mohammed, Yassene; Borchers, Christoph H; Urbani, Andrea; Soggiu, Alessio; Yamamoto, Tadashi; Archakov, Alexander I; Ponomarenko, Elena; Lisitsa, Andrey V; Lichti, Cheryl F; Mostovenko, Ekaterina; Kroes, Roger A; Rezeli, Melinda; Vegvari, Akos; Fehniger, Thomas E; Bischoff, Rainer; Vizcaíno, Juan Antonio; Deutsch, Eric W; Lane, Lydie; Nilsson, Carol L; Marko-Varga, György; Omenn, Gilbert S; Jeong, Seul-Ki; Cho, Jin-Young; Paik, Young-Ki; Hancock, William S

2015-01-01

This paper summarizes the recent activities of the Chromosome-Centric Human Proteome Project (C-HPP) consortium, which develops new technologies to identify yet-to-be annotated proteins (termed "missing proteins") in biological samples that lack sufficient experimental evidence at the protein level

Missing in space: an evaluation of imputation methods for missing data in spatial analysis of risk factors for type II diabetes.

Science.gov (United States)

Baker, Jannah; White, Nicole; Mengersen, Kerrie

2014-11-20

Spatial analysis is increasingly important for identifying modifiable geographic risk factors for disease. However, spatial health data from surveys are often incomplete, ranging from missing data for only a few variables, to missing data for many variables. For spatial analyses of health outcomes, selection of an appropriate imputation method is critical in order to produce the most accurate inferences. We present a cross-validation approach to select between three imputation methods for health survey data with correlated lifestyle covariates, using as a case study, type II diabetes mellitus (DM II) risk across 71 Queensland Local Government Areas (LGAs). We compare the accuracy of mean imputation to imputation using multivariate normal and conditional autoregressive prior distributions. Choice of imputation method depends upon the application and is not necessarily the most complex method. Mean imputation was selected as the most accurate method in this application. Selecting an appropriate imputation method for health survey data, after accounting for spatial correlation and correlation between covariates, allows more complete analysis of geographic risk factors for disease with more confidence in the results to inform public policy decision-making.

Occlusal features and need for orthodontic treatment in persons with osteogenesis imperfecta

Science.gov (United States)

Binh, Ho Duy; Nguyen, Khac Minh; Maasalu, Katre; Kõks, Sulev; Märtson, Aare; Saag, Mare; Jagomägi, Triin

2017-01-01

Abstract The aim of the study was to (a) analyse dental occlusion and determine the need for orthodontic treatment of persons with osteogenesis imperfecta (OI) in comparison with the healthy population and (b) investigate the associations between OI and malocclusion. A case‐control study included 26 OI persons and 400 healthy participants (control group). Occlusal features and the need for orthodontic treatment were defined according to Dental Health Component‐Index of Orthodontic Treatment Need and Dental Aesthetic Index. Results showed that Angle Class I, II, and III relationship was found in 23.1%, 3.8%, and 73.1% of OI group, and in the control group, it was 67%, 17.5%, and 15.5%, respectively. OI group had significantly higher prevalence of reverse overjet >1 mm (76.9%), missing teeth (42.3%), posterior crossbite (34.6%), and open bite >2 mm (19.2%) compared to the control group (8.5%, 2.2%, 6.2%, and 3.5%, respectively). OI group had less incisal segment crowding and more incisal segment spacing than the control group (p  1 mm (OR = 13.3, 95% CI = 3.9–44.7, p < .001), Angle Class III malocclusion (OR = 8.0, 95% CI = 2.0–30.8, p = .003), and missing teeth (OR = 4.7, 95% CI = 1.0–22.4, p = .049). In conclusion, there is the high probability of malocclusion in OI persons. Persons with OI require early orthodontic treatment because of significant correlation of OI disease with Angle Class III malocclusion, reverse overjet, and missing teeth. PMID:29744175

Annual Coded Wire Tag Program; Oregon Missing Production Groups, 1994 Annual Report.

Energy Technology Data Exchange (ETDEWEB)

Garrison, Robert L.; Isaac, Dennis L.; Lewis, Mark A.

1994-12-01

The goal of this program is to develop the ability to estimate hatchery production survival values and evaluate effectiveness of Oregon hatcheries. To accomplish this goal. We are tagging missing production groups within hatcheries to assure each production group is identifiable to allow future evaluation upon recovery of tag data.

Netbooks The Missing Manual

CERN Document Server

Biersdorfer, J

2009-01-01

Netbooks are the hot new thing in PCs -- small, inexpensive laptops designed for web browsing, email, and working with web-based programs. But chances are you don't know how to choose a netbook, let alone use one. Not to worry: with this Missing Manual, you'll learn which netbook is right for you and how to set it up and use it for everything from spreadsheets for work to hobbies like gaming and photo sharing. Netbooks: The Missing Manual provides easy-to-follow instructions and lots of advice to help you: Learn the basics for using a Windows- or Linux-based netbookConnect speakers, printe

PCs The Missing Manual

CERN Document Server

Karp, David

2005-01-01

Your vacuum comes with one. Even your blender comes with one. But your PC--something that costs a whole lot more and is likely to be used daily and for tasks of far greater importance and complexity--doesn't come with a printed manual. Thankfully, that's not a problem any longer: PCs: The Missing Manual explains everything you need to know about PCs, both inside and out, and how to keep them running smoothly and working the way you want them to work. A complete PC manual for both beginners and power users, PCs: The Missing Manual has something for everyone. PC novices will appreciate the una

Understanding Obsessive-Compulsive Personality Disorder

Directory of Open Access Journals (Sweden)

Steven C. Hertler

2013-08-01

Full Text Available With the ultimate goal of better understanding Obsessive-Compulsive Personality Disorder (OCPD, the present work is a review and critique of Diagnostic and Statistical Manual of Mental Disorders (4th ed., DSM-IV diagnostic criteria at the end of their 18 years of use. Problems of specificity (polythetic criteria and failure to employ a hallmark feature make OCPD an indistinct diagnostic category that consequently contains a plurality of types. Problems of sensitivity (missing elements and concrete expression of signs make it more difficult to cull OCPD persons from the population at large. Collectively, these problems of specificity and sensitivity have undermined the efficiency of the DSM-IV criteria set; but more importantly, these problems continue to distort the clinical understanding of OCPD generally.

What's missing in missing data? Omissions in survey responses among parents of children with advanced cancer.

Science.gov (United States)

Rosenberg, Abby R; Dussel, Veronica; Orellana, Liliana; Kang, Tammy; Geyer, J Russel; Feudtner, Chris; Wolfe, Joanne

2014-08-01

Missing data is a common phenomenon with survey-based research; patterns of missing data may elucidate why participants decline to answer certain questions. To describe patterns of missing data in the Pediatric Quality of Life and Evaluation of Symptoms Technology (PediQUEST) study, and highlight challenges in asking sensitive research questions. Cross-sectional, survey-based study embedded within a randomized controlled trial. Three large children's hospitals: Dana-Farber/Boston Children's Cancer and Blood Disorders Center (DF/BCCDC); Children's Hospital of Philadelphia (CHOP); and Seattle Children's Hospital (SCH). At the time of their child's enrollment, parents completed the Survey about Caring for Children with Cancer (SCCC), including demographics, perceptions of prognosis, treatment goals, quality of life, and psychological distress. Eighty-six of 104 parents completed surveys (83% response). The proportion of missing data varied by question type. While 14 parents (16%) left demographic fields blank, over half (n=48; 56%) declined to answer at least one question about their child's prognosis, especially life expectancy. The presence of missing data was unrelated to the child's diagnosis, time from progression, time to death, or parent distress (p>0.3 for each). Written explanations in survey margins suggested that addressing a child's life expectancy is particularly challenging for parents. Parents of children with cancer commonly refrain from answering questions about their child's prognosis, however, they may be more likely to address general cure likelihood than explicit life expectancy. Understanding acceptability of sensitive questions in survey-based research will foster higher quality palliative care research.

[The psychology of being unaccounted for, based on the example of children of missing German soldiers from World War II].

Science.gov (United States)

Orlowski, Henning V; Klauer, Thomas; Freyberger, Harald J; Seidler, Günter H; Kuwert, Philipp

2013-01-01

Despite today's extensive research on the psychosocial consequences of World War II, the group of wives and children whose husbands or fathers went "missing in action" during the Second World War, has yet to be studied systematically in Germany. The present review article shows the special role the wives, and in particular the children, of missing German soldiers played in society and discusses the impact of their loved ones being unaccounted has had on the mental health of this group. An overview of current research on the psychosocial status of the war generation is given following a short historical introduction to the theme. Subsequently, we discuss the legal and social situation of the families of missing German soldiers during the postwar decades. Finally, two psychological concepts drawn from the US research show that specific disorders, such as complicated grief or "boundary ambiguity," can occur in the relatives of missing persons and blur the line between hope and grief occurring as a result of ambiguous loss. The psychosocial impact of having a relative go missing has hardly been noticed in the German research tradition after World War II. Particularly in light of the age structure of those directly affected and the experiences of transgenerational transmission this neglected psychosocial research subject urgently needs further scientific investigation, inasmuch as the age of the family members still allows it.

Substituting missing data in compositional analysis

International Nuclear Information System (INIS)

Real, Carlos; Angel Fernandez, J.; Aboal, Jesus R.; Carballeira, Alejo

2011-01-01

Multivariate analysis of environmental data sets requires the absence of missing values or their substitution by small values. However, if the data is transformed logarithmically prior to the analysis, this solution cannot be applied because the logarithm of a small value might become an outlier. Several methods for substituting the missing values can be found in the literature although none of them guarantees that no distortion of the structure of the data set is produced. We propose a method for the assessment of these distortions which can be used for deciding whether to retain or not the samples or variables containing missing values and for the investigation of the performance of different substitution techniques. The method analyzes the structure of the distances among samples using Mantel tests. We present an application of the method to PCDD/F data measured in samples of terrestrial moss as part of a biomonitoring study. - Highlights: → Missing values in multivariate data sets must be substituted prior to analysis. → The substituted values can modify the structure of the data set. → We developed a method to estimate the magnitude of the alterations. → The method is simple and based on the Mantel test. → The method allowed the identification of problematic variables in a sample data set. - A method is presented for the assessment of the possible distortions in multivariate analysis caused by the substitution of missing values.

Identifying a borderline personality disorder prodrome: Implications for community screening.

Science.gov (United States)

Stepp, Stephanie D; Lazarus, Sophie A

2017-08-01

Elucidating early signs and symptoms of borderline personality disorder (BPD) has important implications for screening and identifying youth appropriate for early intervention. The purpose of this study was to identify dimensions of child temperament and psychopathology symptom severity that predict conversion to a positive screen for BPD over a 14-year follow-up period in a large, urban community sample of girls (n = 2 450). Parent and teacher reports of child temperament and psychopathology symptom severity assessed when girls were ages 5-8 years were examined as predictors of new-onset BPD cases when girls were ages 14-22 years. In the final model, parent and teacher ratings of emotionality remained significant predictors of new-onset BPD. Additionally, parent ratings of hyperactivity/impulsivity and depression severity, as well as teacher ratings of inattention severity, were also predictive. Results also revealed that elevations in these dimensions pose a notable increase in risk for conversion to BPD over the follow-up period. Supplementary analyses revealed that with the exception of parent-reported depression severity, these same predictors were associated with increases in BPD symptom severity over the follow-up period. These findings suggest BPD onset in adolescence and early adulthood can be detected from parent and teacher reports of temperament and symptom severity dimensions assessed in childhood. The identification of this prodrome holds promise for advancing early detection of children at risk prior to the development of the full-blown disorder. Copyright © 2017 John Wiley & Sons, Ltd. Copyright © 2017 John Wiley & Sons, Ltd.

The effectiveness of SMS Reminders and the impact of patient characteristics on missed appointments in a public dental outpatient clinic

Directory of Open Access Journals (Sweden)

Emilia Bellucci

2017-03-01

Full Text Available This paper reports on the Failure To Attend (FTA rate of appointments as well as patients following the implementation of SMS reminders in a public dental outpatient service.  Given the ineffectiveness of the intervention and a highly representative patient’s profile, this paper identifies the demographic characteristics of patients who miss all of their appointments.  Data on appointment attendance, patient demographics and dental service type was collected over a time period of 46 consecutive months.  Using descriptive and inferential statistics (chi-square, two sample tests and Marascuilo procedure we found the SMS intervention was ineffective in reducing the FTA rates. Further, patients associated with high rates of non-attendance exhibited one or more of the following characteristics: male; age 26 – 44; non-concession card holders; a person of Indigenous, local, Asian or African descent, and of refugee status, persons living in low socio-economic areas; and appointments in General Care and Student Clinics. Whilst the literature overwhelmingly attributes SMS reminders to improving the attendance rate of patients in outpatient clinics, our contradictory findings suggest a more targeted approach in settings whose patients exhibit strong characteristics associated with non-attendance.

Factors influencing the missed nursing care in patients from a private hospital.

Science.gov (United States)

Hernández-Cruz, Raúl; Moreno-Monsiváis, María Guadalupe; Cheverría-Rivera, Sofía; Díaz-Oviedo, Aracely

2017-07-10

to determine the factors that influence the missed nursing care in hospitalized patients. descriptive correlational study developed at a private hospital in Mexico. To identify the missed nursing care and related factors, the MISSCARE survey was used, which measures the care missed and associated factors. The care missed and the factors were grouped in global and dimension rates. For the analysis, descriptive statistics, Spearman's correlation and simple linear regression were used. Approval for the study was obtained from the ethics committee. the participants were 71 nurses from emergency, intensive care and inpatient services. The global missed care index corresponded to M=7.45 (SD=10.74); the highest missed care index was found in the dimension basic care interventions (M=13.02, SD=17.60). The main factor contributing to the care missed was human resources (M=56.13, SD=21.38). The factors related to the care missed were human resources (rs=0.408, precursos humanos (M=56,13, DE=21,38). Os fatores relacionados ao cuidado omitido foram os recursos humanos (rs=0,408, precursos humanos; com base nos resultados deste estudo pode-se fortalecer a continuidade do cuidado de enfermagem. determinar los factores que influyen en el cuidado de enfermería perdido en pacientes hospitalizados. estudio descriptivo correlacional, se realizó en un hospital privado de México. Para identificar el cuidado perdido y factores relacionados se utilizó el instrumento MISSCARE que mide el cuidado perdido y los factores asociados. El cuidado perdido y los factores se agruparon en índices globales y por dimensiones. Para el análisis se utilizó estadística descriptiva, correlación de Spearman y regresión lineal simple. El estudio fue aprobado por el comité de ética. participaron 71 enfermeras de los servicios de urgencias, terapia intensiva y hospitalización. El índice global de cuidado perdido mostró una M=7,45 (DE=10,74); el índice con mayor cuidado perdido correspondió a

Dimensional personality traits and alcohol treatment outcome: a systematic review and meta-analysis.

Science.gov (United States)

Foulds, James; Newton-Howes, Giles; Guy, Nicola H; Boden, Joseph M; Mulder, Roger T

2017-08-01

To identify dimensional personality traits associated with treatment outcome for patients with an alcohol use disorder (AUD). Systematic review and meta-analysis of clinical trials and longitudinal studies of ≥ 8 weeks in patients receiving treatment for AUD, in which the association between personality dimensions and treatment outcome was reported. Primary outcomes were relapse and alcohol consumption measures. Treatment retention was a secondary outcome. Eighteen studies, including 4783 subjects, were identified. Twelve studies used Cloninger's Temperament and Personality Questionnaire (TPQ) or Temperament and Character Inventory (TCI). Remaining studies used a broad range of other personality measures. Compared with non-relapsers, patients who relapsed had higher novelty-seeking [standardized mean difference in novelty-seeking score 0.28; 95% confidence interval (CI) = 0.12, 0.44], lower persistence (-0.30, 95% = CI -0.48, -0.12), lower reward dependence (-0.16, 95% CI = -0.31, -0.01) and lower cooperativeness (-0.23, 95% CI = -0.41, -0.04). Few studies reported on alcohol consumption outcomes, therefore findings for those outcomes were inconclusive. Lower novelty-seeking predicted better retention in treatment in two of three studies. Most studies reported findings only for those retained in treatment, and did not attempt to account for missing data; therefore, findings for the primary outcomes cannot be generalized to patients who dropped out of treatment. Studies using personality instruments other than the TCI or TPQ reported no consistent findings on the association between personality variables and treatment outcome. Among patients receiving treatment for an alcohol use disorder, those who relapse during follow-up have higher novelty-seeking, lower persistence, lower reward dependence and lower cooperativeness than those who do not relapse. © 2017 Society for the Study of Addiction.

Missing data treatments matter: an analysis of multiple imputation for anterior cervical discectomy and fusion procedures.

Science.gov (United States)

Ondeck, Nathaniel T; Fu, Michael C; Skrip, Laura A; McLynn, Ryan P; Cui, Jonathan J; Basques, Bryce A; Albert, Todd J; Grauer, Jonathan N

2018-04-09

The presence of missing data is a limitation of large datasets, including the National Surgical Quality Improvement Program (NSQIP). In addressing this issue, most studies use complete case analysis, which excludes cases with missing data, thus potentially introducing selection bias. Multiple imputation, a statistically rigorous approach that approximates missing data and preserves sample size, may be an improvement over complete case analysis. The present study aims to evaluate the impact of using multiple imputation in comparison with complete case analysis for assessing the associations between preoperative laboratory values and adverse outcomes following anterior cervical discectomy and fusion (ACDF) procedures. This is a retrospective review of prospectively collected data. Patients undergoing one-level ACDF were identified in NSQIP 2012-2015. Perioperative adverse outcome variables assessed included the occurrence of any adverse event, severe adverse events, and hospital readmission. Missing preoperative albumin and hematocrit values were handled using complete case analysis and multiple imputation. These preoperative laboratory levels were then tested for associations with 30-day postoperative outcomes using logistic regression. A total of 11,999 patients were included. Of this cohort, 63.5% of patients had missing preoperative albumin and 9.9% had missing preoperative hematocrit. When using complete case analysis, only 4,311 patients were studied. The removed patients were significantly younger, healthier, of a common body mass index, and male. Logistic regression analysis failed to identify either preoperative hypoalbuminemia or preoperative anemia as significantly associated with adverse outcomes. When employing multiple imputation, all 11,999 patients were included. Preoperative hypoalbuminemia was significantly associated with the occurrence of any adverse event and severe adverse events. Preoperative anemia was significantly associated with the

All hypertopologies are hit-and-miss

Directory of Open Access Journals (Sweden)

Somshekhar Naimpally

2002-04-01

Full Text Available We solve a long standing problem by showing that all known hypertopologies are hit-and-miss. Our solution is not merely of theoretical importance. This representation is useful in the study of comparison of the Hausdorff-Bourbaki or H-B uniform topologies and the Wijsman topologies among themselves and with others. Up to now some of these comparisons needed intricate manipulations. The H-B uniform topologies were the subject of intense activity in the 1960's in connection with the Isbell-Smith problem. We show that they are proximally locally finite topologies from which the solution to the above problem follows easily. It is known that the Wijsman topology on the hyperspace is the proximal ball (hit-and-miss topology in”nice” metric spaces including the normed linear spaces. With the introduction of a new far-miss topology we show that the Wijsman topology is hit-and-miss for all metric spaces. From this follows a natural generalization of the Wijsman topology to the hyperspace of any T1 space. Several existing results in the literature are easy consequences of our work.

Dealing with gene expression missing data.

Science.gov (United States)

Brás, L P; Menezes, J C

2006-05-01

Compared evaluation of different methods is presented for estimating missing values in microarray data: weighted K-nearest neighbours imputation (KNNimpute), regression-based methods such as local least squares imputation (LLSimpute) and partial least squares imputation (PLSimpute) and Bayesian principal component analysis (BPCA). The influence in prediction accuracy of some factors, such as methods' parameters, type of data relationships used in the estimation process (i.e. row-wise, column-wise or both), missing rate and pattern and type of experiment [time series (TS), non-time series (NTS) or mixed (MIX) experiments] is elucidated. Improvements based on the iterative use of data (iterative LLS and PLS imputation--ILLSimpute and IPLSimpute), the need to perform initial imputations (modified PLS and Helland PLS imputation--MPLSimpute and HPLSimpute) and the type of relationships employed (KNNarray, LLSarray, HPLSarray and alternating PLS--APLSimpute) are proposed. Overall, it is shown that data set properties (type of experiment, missing rate and pattern) affect the data similarity structure, therefore influencing the methods' performance. LLSimpute and ILLSimpute are preferable in the presence of data with a stronger similarity structure (TS and MIX experiments), whereas PLS-based methods (MPLSimpute, IPLSimpute and APLSimpute) are preferable when estimating NTS missing data.

Missed, Not Missing: Phylogenomic Evidence for the Existence of Avian FoxP3.

Directory of Open Access Journals (Sweden)

Michael P Denyer

Full Text Available The Forkhead box transcription factor FoxP3 is pivotal to the development and function of regulatory T cells (Tregs, which make a major contribution to peripheral tolerance. FoxP3 is believed to perform a regulatory role in all the vertebrate species in which it has been detected. The prevailing view is that FoxP3 is absent in birds and that avian Tregs rely on alternative developmental and suppressive pathways. Prompted by the automated annotation of foxp3 in the ground tit (Parus humilis genome, we have questioned this assumption. Our analysis of all available avian genomes has revealed that the foxp3 locus is missing, incomplete or of poor quality in the relevant genomic assemblies for nearly all avian species. Nevertheless, in two species, the peregrine falcon (Falco peregrinus and the saker falcon (F. cherrug, there is compelling evidence for the existence of exons showing synteny with foxp3 in the ground tit. A broader phylogenomic analysis has shown that FoxP3 sequences from these three species are similar to crocodilian sequences, the closest living relatives of birds. In both birds and crocodilians, we have also identified a highly proline-enriched region at the N terminus of FoxP3, a region previously identified only in mammals.

Maternal near-miss: a multicenter surveillance in Kathmandu Valley.

Science.gov (United States)

Rana, Ashma; Baral, Gehanath; Dangal, Ganesh

2013-01-01

Multicenter surveillance has been carried out on maternal near-miss in the hospitals with sentinel units. Near-miss is recognized as the predictor of level of care and maternal death. Reducing Maternal Mortality Ratio is one of the challenges to achieve Millennium Development Goal. The objective was to determine the frequency and the nature of near-miss events and to analyze the near-miss morbidities among pregnant women. A prospective surveillance was done for a year in 2012 at nine hospitals in Kathmandu valley. Cases eligible by definition were recorded as a census based on WHO near-miss guideline. Similar questionnaires and dummy tables were used to present the results by non-inferential statistics. Out of 157 cases identified with near-miss rate of 3.8 per 1000 live births, severe complications were postpartum hemorrhage 62 (40%) and preeclampsia-eclampsia 25 (17%). Blood transfusion 102 (65%), ICU admission 85 (54%) and surgery 53 (32%) were common critical interventions. Oxytocin was main uterotonic used both prophylactically and therapeutically at health facilities. Total of 30 (19%) cases arrived at health facility after delivery or abortion. MgSO4 was used in all cases of eclampsia. All laparotomies were performed within three hours of arrival. Near-miss to maternal death ratio was 6:1 and MMR was 62. Study result yielded similar pattern amongst developing countries and same near-miss conditions as the causes of maternal death reported by national statistics. Process indicators qualified the recommended standard of care. The near-miss event could be used as a surrogate marker of maternal death and a window for system level intervention.

AUTOMATIC CLASSIFICATION OF VARIABLE STARS IN CATALOGS WITH MISSING DATA

International Nuclear Information System (INIS)

Pichara, Karim; Protopapas, Pavlos

2013-01-01

We present an automatic classification method for astronomical catalogs with missing data. We use Bayesian networks and a probabilistic graphical model that allows us to perform inference to predict missing values given observed data and dependency relationships between variables. To learn a Bayesian network from incomplete data, we use an iterative algorithm that utilizes sampling methods and expectation maximization to estimate the distributions and probabilistic dependencies of variables from data with missing values. To test our model, we use three catalogs with missing data (SAGE, Two Micron All Sky Survey, and UBVI) and one complete catalog (MACHO). We examine how classification accuracy changes when information from missing data catalogs is included, how our method compares to traditional missing data approaches, and at what computational cost. Integrating these catalogs with missing data, we find that classification of variable objects improves by a few percent and by 15% for quasar detection while keeping the computational cost the same

AUTOMATIC CLASSIFICATION OF VARIABLE STARS IN CATALOGS WITH MISSING DATA

Energy Technology Data Exchange (ETDEWEB)

Pichara, Karim [Computer Science Department, Pontificia Universidad Católica de Chile, Santiago (Chile); Protopapas, Pavlos [Institute for Applied Computational Science, Harvard University, Cambridge, MA (United States)

2013-11-10

We present an automatic classification method for astronomical catalogs with missing data. We use Bayesian networks and a probabilistic graphical model that allows us to perform inference to predict missing values given observed data and dependency relationships between variables. To learn a Bayesian network from incomplete data, we use an iterative algorithm that utilizes sampling methods and expectation maximization to estimate the distributions and probabilistic dependencies of variables from data with missing values. To test our model, we use three catalogs with missing data (SAGE, Two Micron All Sky Survey, and UBVI) and one complete catalog (MACHO). We examine how classification accuracy changes when information from missing data catalogs is included, how our method compares to traditional missing data approaches, and at what computational cost. Integrating these catalogs with missing data, we find that classification of variable objects improves by a few percent and by 15% for quasar detection while keeping the computational cost the same.

Missed Opportunities For Immunization In Children And Pregnant Women

Directory of Open Access Journals (Sweden)

Benjamin A I

1990-01-01

Full Text Available The role of immunization in reducing childhood mortality cannot be over-emphasised, yet many opportunities for immunization are missed when children and pregnant women visit a health facility. Reducing missed opportunities is the cheapest way to increase immunization coverage. The present study discusses the extent of the problem of missed opportunities for immunization in children and pregnant women and the factors contributing to the problem, in spatiality and community outreach clinics of Christian Medical College & Hospital, Ludhiana. Recommendations are made regarding ways and means of reducing missed opportunities.

Methods for Handling Missing Secondary Respondent Data

Science.gov (United States)

Young, Rebekah; Johnson, David

2013-01-01

Secondary respondent data are underutilized because researchers avoid using these data in the presence of substantial missing data. The authors reviewed, evaluated, and tested solutions to this problem. Five strategies of dealing with missing partner data were reviewed: (a) complete case analysis, (b) inverse probability weighting, (c) correction…

Reducing Competitive Cache Misses in Modern Processor Architectures

OpenAIRE

Prisagjanec, Milcho; Mitrevski, Pece

2017-01-01

The increasing number of threads inside the cores of a multicore processor, and competitive access to the shared cache memory, become the main reasons for an increased number of competitive cache misses and performance decline. Inevitably, the development of modern processor architectures leads to an increased number of cache misses. In this paper, we make an attempt to implement a technique for decreasing the number of competitive cache misses in the first level of cache memory. This tec...

Missed opportunities in crystallography.

Science.gov (United States)

Dauter, Zbigniew; Jaskolski, Mariusz

2014-09-01

Scrutinized from the perspective of time, the giants in the history of crystallography more than once missed a nearly obvious chance to make another great discovery, or went in the wrong direction. This review analyzes such missed opportunities focusing on macromolecular crystallographers (using Perutz, Pauling, Franklin as examples), although cases of particular historical (Kepler), methodological (Laue, Patterson) or structural (Pauling, Ramachandran) relevance are also described. Linus Pauling, in particular, is presented several times in different circumstances, as a man of vision, oversight, or even blindness. His example underscores the simple truth that also in science incessant creativity is inevitably connected with some probability of fault. Published 2014. This article is a U.S. Government work and is in the public domain in the USA.

Online-specific fear of missing out and Internet-use expectancies contribute to symptoms of Internet-communication disorder.

Science.gov (United States)

Wegmann, Elisa; Oberst, Ursula; Stodt, Benjamin; Brand, Matthias

2017-06-01

Some of the most frequently used online applications are Facebook, WhatsApp, and Twitter. These applications allow individuals to communicate with other users, to share information or pictures, and to stay in contact with friends all over the world. However, a growing number of users suffer from negative consequences due to their excessive use of these applications, which can be referred to as Internet-communication disorder. The frequent use and easy access of these applications may also trigger the individual's fear of missing out on content when not accessing these applications. Using a sample of 270 participants, a structural equation model was analyzed to investigate the role of psychopathological symptoms and the fear of missing out on expectancies towards Internet-communication applications in the development of symptoms of an Internet-communication disorder. The results suggest that psychopathological symptoms predict higher fear of missing out on the individual's Internet-communication applications and higher expectancies to use these applications as a helpful tool to escape from negative feelings. These specific cognitions mediate the effect of psychopathological symptoms on Internet-communication disorder. Our results are in line with the theoretical model by Brand et al. (2016) as they show how Internet-related cognitive bias mediates the relationship between a person's core characteristics (e.g., psychopathological symptoms) and Internet-communication disorder. However, further studies should investigate the role of the fear of missing out as a specific predisposition, as well as specific cognition in the online context.

Online-specific fear of missing out and Internet-use expectancies contribute to symptoms of Internet-communication disorder

Directory of Open Access Journals (Sweden)

Elisa Wegmann

2017-06-01

Full Text Available Some of the most frequently used online applications are Facebook, WhatsApp, and Twitter. These applications allow individuals to communicate with other users, to share information or pictures, and to stay in contact with friends all over the world. However, a growing number of users suffer from negative consequences due to their excessive use of these applications, which can be referred to as Internet-communication disorder. The frequent use and easy access of these applications may also trigger the individual's fear of missing out on content when not accessing these applications. Using a sample of 270 participants, a structural equation model was analyzed to investigate the role of psychopathological symptoms and the fear of missing out on expectancies towards Internet-communication applications in the development of symptoms of an Internet-communication disorder. The results suggest that psychopathological symptoms predict higher fear of missing out on the individual's Internet-communication applications and higher expectancies to use these applications as a helpful tool to escape from negative feelings. These specific cognitions mediate the effect of psychopathological symptoms on Internet-communication disorder. Our results are in line with the theoretical model by Brand et al. (2016 as they show how Internet-related cognitive bias mediates the relationship between a person's core characteristics (e.g., psychopathological symptoms and Internet-communication disorder. However, further studies should investigate the role of the fear of missing out as a specific predisposition, as well as specific cognition in the online context.

Bayesian Sensitivity Analysis of Statistical Models with Missing Data.

Science.gov (United States)

Zhu, Hongtu; Ibrahim, Joseph G; Tang, Niansheng

2014-04-01

Methods for handling missing data depend strongly on the mechanism that generated the missing values, such as missing completely at random (MCAR) or missing at random (MAR), as well as other distributional and modeling assumptions at various stages. It is well known that the resulting estimates and tests may be sensitive to these assumptions as well as to outlying observations. In this paper, we introduce various perturbations to modeling assumptions and individual observations, and then develop a formal sensitivity analysis to assess these perturbations in the Bayesian analysis of statistical models with missing data. We develop a geometric framework, called the Bayesian perturbation manifold, to characterize the intrinsic structure of these perturbations. We propose several intrinsic influence measures to perform sensitivity analysis and quantify the effect of various perturbations to statistical models. We use the proposed sensitivity analysis procedure to systematically investigate the tenability of the non-ignorable missing at random (NMAR) assumption. Simulation studies are conducted to evaluate our methods, and a dataset is analyzed to illustrate the use of our diagnostic measures.

Performance of student software development teams: the influence of personality and identifying as team members

Science.gov (United States)

Monaghan, Conal; Bizumic, Boris; Reynolds, Katherine; Smithson, Michael; Johns-Boast, Lynette; van Rooy, Dirk

2015-01-01

One prominent approach in the exploration of the variations in project team performance has been to study two components of the aggregate personalities of the team members: conscientiousness and agreeableness. A second line of research, known as self-categorisation theory, argues that identifying as team members and the team's performance norms should substantially influence the team's performance. This paper explores the influence of both these perspectives in university software engineering project teams. Eighty students worked to complete a piece of software in small project teams during 2007 or 2008. To reduce limitations in statistical analysis, Monte Carlo simulation techniques were employed to extrapolate from the results of the original sample to a larger simulated sample (2043 cases, within 319 teams). The results emphasise the importance of taking into account personality (particularly conscientiousness), and both team identification and the team's norm of performance, in order to cultivate higher levels of performance in student software engineering project teams.

Student versus Faculty Perceptions of Missing Class.

Science.gov (United States)

Sleigh, Merry J.; Ritzer, Darren R.; Casey, Michael B.

2002-01-01

Examines and compares student and faculty attitudes towards students missing classes and class attendance. Surveys undergraduate students (n=231) in lower and upper level psychology courses and psychology faculty. Reports that students found more reasons acceptable for missing classes and that the amount of in-class material on the examinations…

Enhanced Missing Proteins Detection in NCI60 Cell Lines Using an Integrative Search Engine Approach.

Science.gov (United States)

Guruceaga, Elizabeth; Garin-Muga, Alba; Prieto, Gorka; Bejarano, Bartolomé; Marcilla, Miguel; Marín-Vicente, Consuelo; Perez-Riverol, Yasset; Casal, J Ignacio; Vizcaíno, Juan Antonio; Corrales, Fernando J; Segura, Victor

2017-12-01

The Human Proteome Project (HPP) aims deciphering the complete map of the human proteome. In the past few years, significant efforts of the HPP teams have been dedicated to the experimental detection of the missing proteins, which lack reliable mass spectrometry evidence of their existence. In this endeavor, an in depth analysis of shotgun experiments might represent a valuable resource to select a biological matrix in design validation experiments. In this work, we used all the proteomic experiments from the NCI60 cell lines and applied an integrative approach based on the results obtained from Comet, Mascot, OMSSA, and X!Tandem. This workflow benefits from the complementarity of these search engines to increase the proteome coverage. Five missing proteins C-HPP guidelines compliant were identified, although further validation is needed. Moreover, 165 missing proteins were detected with only one unique peptide, and their functional analysis supported their participation in cellular pathways as was also proposed in other studies. Finally, we performed a combined analysis of the gene expression levels and the proteomic identifications from the common cell lines between the NCI60 and the CCLE project to suggest alternatives for further validation of missing protein observations.

Simultaneous Treatment of Missing Data and Measurement Error in HIV Research Using Multiple Overimputation.

Science.gov (United States)

Schomaker, Michael; Hogger, Sara; Johnson, Leigh F; Hoffmann, Christopher J; Bärnighausen, Till; Heumann, Christian

2015-09-01

Both CD4 count and viral load in HIV-infected persons are measured with error. There is no clear guidance on how to deal with this measurement error in the presence of missing data. We used multiple overimputation, a method recently developed in the political sciences, to account for both measurement error and missing data in CD4 count and viral load measurements from four South African cohorts of a Southern African HIV cohort collaboration. Our knowledge about the measurement error of ln CD4 and log10 viral load is part of an imputation model that imputes both missing and mismeasured data. In an illustrative example, we estimate the association of CD4 count and viral load with the hazard of death among patients on highly active antiretroviral therapy by means of a Cox model. Simulation studies evaluate the extent to which multiple overimputation is able to reduce bias in survival analyses. Multiple overimputation emphasizes more strongly the influence of having high baseline CD4 counts compared to both a complete case analysis and multiple imputation (hazard ratio for >200 cells/mm vs. <25 cells/mm: 0.21 [95% confidence interval: 0.18, 0.24] vs. 0.38 [0.29, 0.48], and 0.29 [0.25, 0.34], respectively). Similar results are obtained when varying assumptions about measurement error, when using p-splines, and when evaluating time-updated CD4 count in a longitudinal analysis. The estimates of the association with viral load are slightly more attenuated when using multiple imputation instead of multiple overimputation. Our simulation studies suggest that multiple overimputation is able to reduce bias and mean squared error in survival analyses. Multiple overimputation, which can be used with existing software, offers a convenient approach to account for both missing and mismeasured data in HIV research.

The Impact of the Nursing Practice Environment on Missed Nursing Care.

Science.gov (United States)

Hessels, Amanda J; Flynn, Linda; Cimiotti, Jeannie P; Cadmus, Edna; Gershon, Robyn R M

2015-12-01

Missed nursing care is an emerging problem negatively impacting patient outcomes. There are gaps in our knowledge of factors associated with missed nursing care. The aim of this study was to determine the relationship between the nursing practice environment and missed nursing care in acute care hospitals. This is a secondary analysis of cross sectional data from a survey of over 7.000 nurses from 70 hospitals on workplace and process of care. Ordinary least squares and multiple regression models were constructed to examine the relationship between the nursing practice environment and missed nursing care while controlling for characteristics of nurses and hospitals. Nurses missed delivering a significant amount of necessary patient care (10-27%). Inadequate staffing and inadequate resources were the practice environment factors most strongly associated with missed nursing care events. This multi-site study examined the risk and risk factors associated with missed nursing care. Improvements targeting modifiable risk factors may reduce the risk of missed nursing care.

Droid X The Missing Manual

CERN Document Server

Gralla, Preston

2011-01-01

Get the most from your Droid X right away with this entertaining Missing Manual. Veteran tech author Preston Gralla offers a guided tour of every feature, with lots of expert tips and tricks along the way. You'll learn how to use calling and texting features, take and share photos, enjoy streaming music and video, and much more. Packed with full-color illustrations, this engaging book covers everything from getting started to advanced features and troubleshooting. Unleash the power of Motorola's hot new device with Droid X: The Missing Manual. Get organized. Import your contacts and sync wit

A Review of Methods for Missing Data.

Science.gov (United States)

Pigott, Therese D.

2001-01-01

Reviews methods for handling missing data in a research study. Model-based methods, such as maximum likelihood using the EM algorithm and multiple imputation, hold more promise than ad hoc methods. Although model-based methods require more specialized computer programs and assumptions about the nature of missing data, these methods are appropriate…

Reduction of artefacts due to missing projections using OSEM

International Nuclear Information System (INIS)

Hutton, B.F.; Kyme, A.; Choong, K.

2002-01-01

Full text: It is well recognised that missing or corrupted projections can result in artefacts. This occasionally occurs due to errors in data transfer from acquisition memory to disk. A possible approach for reducing these artefacts was investigated, Using ordered subsets expectation maximization (OSEM) the iterative reconstruction proceeds by progressively including additional projections until a single iteration is complete. Clinically useful results can be obtained using a small subset size in a single iteration. Stopping prior to the complete iteration so as to avoid inclusion of missing or corrupted data should provide a 'partial' reconstruction with minimal artefacts. To test this hypothesis projections were selectively removed from a complete data set (2, 4, 8, 12 adjacent projections) and reconstructions were performed using both filtered back projection (FBP) and OSEM. To maintain a constant number of sub-iterations in OSEM an equal number of duplicate projections were substituted for the missing projections. Both 180 and 360 degrees reconstructions with missing data were compared with reconstruction for the complete data using sum of absolute differences. Results indicate that missing data causes artefacts for both FBP and OSEM however the severity of artefacts is significantly reduced using OSEM. The effect of missing data is generally greater for 180 degrees acquisition. OSEM is recommended for minimising reconstruction artefacts due to missing projections. Copyright (2002) The Australian and New Zealand Society of Nuclear Medicine Inc

Using the SAPAS to identify risk for personality disorders among psychiatric outpatients in India: A feasibility study.

Science.gov (United States)

Innocent, Simeon; Podder, Priyanka; Ram, Jai Ranjan; Barnicot, Kirsten; Sen, Piyal

2018-02-01

Personality disorders (PDs) are common among psychiatric outpatients and are associated with increased morbidity and worse treatment outcomes. Epidemiological research conducted among this population in Asian countries is limited, reflecting a significant gap in the current literature. One barrier to this research is the lack of appropriate screening tools. The current research assessed the feasibility of using the SAPAS (Standardized Assessment of Personality-Abbreviated Scale) screening tool to identify individuals at high risk of PD in an Indian psychiatric outpatient population and provides an initial estimate of PD prevalence by using a validated diagnostic interview, the ICD-10 International Personality Disorder Examination. The findings suggest that whilst use of the SAPAS was feasible, acceptable to patients and led to clinically useful findings, when using the recommended cut-off score of 4, the SAPAS largely overdiagnoses the risk for PD in psychiatric outpatients in India (positive predictive value = 26.3%). The estimated prevalence of personality disorder in the sample was 11.1%, based on administering the International Personality Disorder Examination diagnostic interview to high-risk patients scoring 4 and above on the SAPAS, which is higher than previous estimates for this population and still likely to be an underestimation. Future studies should translate the measure into Bengali and evaluate its sensitivity and specificity at different cut-off points in order to optimize its use in Indian populations. Copyright © 2017 John Wiley & Sons, Ltd. Copyright © 2017 John Wiley & Sons, Ltd.

Maternal near-miss in a rural hospital in Sudan

Directory of Open Access Journals (Sweden)

Adam Gamal K

2011-06-01

Full Text Available Abstract Background Investigation of maternal near-miss is a useful complement to the investigation of maternal mortality with the aim of meeting the United Nations' fifth Millennium Development Goal. The present study was conducted to investigate the frequency of near-miss events, to calculate the mortality index for each event and to compare the socio-demographic and obstetrical data (age, parity, gestational age, education and antenatal care of the near-miss cases with maternal deaths. Methods Near-miss cases and events (hemorrhage, infection, hypertensive disorders, anemia and dystocia, maternal deaths and their causes were retrospectively reviewed and the mortality index for each event was calculated in Kassala Hospital, eastern Sudan over a 2-year period, from January 2008 to December 2010. Disease-specific criteria were applied for these events. Results There were 9578 deliveries, 205 near-miss cases, 228 near-miss events and 40 maternal deaths. Maternal near-miss and maternal mortality ratio were 22.1/1000 live births and 432/100 000 live births, respectively. Hemorrhage accounted for the most common event (40.8%, followed by infection (21.5%, hypertensive disorders (18.0%, anemia (11.8% and dystocia (7.9%. The mortality index were 22.2%, 10.0%, 10.0%, 8.8% and 2.4% for infection, dystocia, anemia, hemorrhage and hypertensive disorders, respectively. Conclusion There is a high frequency of maternal morbidity and mortality at the level of this facility. Therefore maternal health policy needs to be concerned not only with averting the loss of life, but also with preventing or ameliorating maternal-near miss events (hemorrhage, infections, hypertension and anemia at all care levels including primary level.

Missing transverse momentum in ATLAS: current and future performance

CERN Document Server

Schramm, S; The ATLAS collaboration

2014-01-01

During the Run-I data taking period, ATLAS has developed and refined several approaches for measuring missing transverse momentum in proton-proton collisions. Standard calorimeter-based $\\mathrm{E}_\\mathrm{T}^\\mathrm{miss}$ reconstruction techniques have been improved to obtain new levels of precision, while new track-based $\\mathrm{p}_\\mathrm{T}^\\mathrm{miss}$ methods provide for a way to have a second independent measurement of the momentum lost due to particles which do not leave tracks in the inner detectors. While both procedures are individually useful, preliminary studies have shown that combining information from both techniques leads to an improved understanding of missing transverse momentum. Data taking conditions during Run-I varied extensively, especially with respect to the amount of pileup activity present in each event, which provides unique challenges to calorimeter-based $\\mathrm{E}_\\mathrm{T}^\\mathrm{miss}$. Multiple solutions have been demonstrated, including methods which exploit both cal...

A melding of the minds: when primatology meets personality and social psychology.

Science.gov (United States)

Brosnan, Sarah F; Newton-Fisher, Nicholas E; van Vugt, Mark

2009-05-01

Social and personality psychology and behavioral primatology both enjoy long histories of research aimed at uncovering the proximate and ultimate determinants of primate-human and nonhuman-social behavior. Although they share research themes, methodologies, and theories, and although their studied species are closely related, there is currently very little interaction between the fields. This separation means that researchers in these disciplines miss out on opportunities to advance understanding by combining insights from both fields. Social and personality psychologists also miss the opportunity for a phylogenetic analysis. The time has come to integrate perspectives on primate social psychology. Here, the authors provide a historical background and document the main similarities and differences in approaches. Next, they present some examples of research programs that may benefit from an integrated primate perspective. Finally, the authors propose a framework for developing a social psychology inclusive of all primates. Such a melding of minds promises to greatly benefit those who undertake the challenge.

Personality and Development in Childhood: A Person-Centered Approach.

Science.gov (United States)

Hart, Daniel; Atkins, Robert; Fegley, Suzanne

2003-01-01

Applied a person-centered approach to childhood personality development in 28 diverse samples of 3- to 6-year-olds studied over 6 years. Identified resilient, overcontrolled, and undercontrolled personality types. Found that the undercontrolled personality type related to intellectual decline over 6 years. The number of family risks predicted…

A nonparametric multiple imputation approach for missing categorical data

Directory of Open Access Journals (Sweden)

Muhan Zhou

2017-06-01

Full Text Available Abstract Background Incomplete categorical variables with more than two categories are common in public health data. However, most of the existing missing-data methods do not use the information from nonresponse (missingness probabilities. Methods We propose a nearest-neighbour multiple imputation approach to impute a missing at random categorical outcome and to estimate the proportion of each category. The donor set for imputation is formed by measuring distances between each missing value with other non-missing values. The distance function is calculated based on a predictive score, which is derived from two working models: one fits a multinomial logistic regression for predicting the missing categorical outcome (the outcome model and the other fits a logistic regression for predicting missingness probabilities (the missingness model. A weighting scheme is used to accommodate contributions from two working models when generating the predictive score. A missing value is imputed by randomly selecting one of the non-missing values with the smallest distances. We conduct a simulation to evaluate the performance of the proposed method and compare it with several alternative methods. A real-data application is also presented. Results The simulation study suggests that the proposed method performs well when missingness probabilities are not extreme under some misspecifications of the working models. However, the calibration estimator, which is also based on two working models, can be highly unstable when missingness probabilities for some observations are extremely high. In this scenario, the proposed method produces more stable and better estimates. In addition, proper weights need to be chosen to balance the contributions from the two working models and achieve optimal results for the proposed method. Conclusions We conclude that the proposed multiple imputation method is a reasonable approach to dealing with missing categorical outcome data with

Missing and Spurious Level Corrections for Nuclear Resonances

International Nuclear Information System (INIS)

Mitchell, G E; Agvaanluvsan, U; Pato, M P; Shriner, J F

2005-01-01

Neutron and proton resonances provide detailed level density information. However, due to experimental limitations, some levels are missed and some are assigned incorrect quantum numbers. The standard method to correct for missing levels uses the experimental widths and the Porter-Thomas distribution. Analysis of the spacing distribution provides an independent determination of the fraction of missing levels. We have derived a general expression for such an imperfect spacing distribution using the maximum entropy principle and applied it to a variety of nuclear resonance data. The problem of spurious levels has not been extensively addressed

Recurrent Neural Networks for Multivariate Time Series with Missing Values.

Science.gov (United States)

Che, Zhengping; Purushotham, Sanjay; Cho, Kyunghyun; Sontag, David; Liu, Yan

2018-04-17

Multivariate time series data in practical applications, such as health care, geoscience, and biology, are characterized by a variety of missing values. In time series prediction and other related tasks, it has been noted that missing values and their missing patterns are often correlated with the target labels, a.k.a., informative missingness. There is very limited work on exploiting the missing patterns for effective imputation and improving prediction performance. In this paper, we develop novel deep learning models, namely GRU-D, as one of the early attempts. GRU-D is based on Gated Recurrent Unit (GRU), a state-of-the-art recurrent neural network. It takes two representations of missing patterns, i.e., masking and time interval, and effectively incorporates them into a deep model architecture so that it not only captures the long-term temporal dependencies in time series, but also utilizes the missing patterns to achieve better prediction results. Experiments of time series classification tasks on real-world clinical datasets (MIMIC-III, PhysioNet) and synthetic datasets demonstrate that our models achieve state-of-the-art performance and provide useful insights for better understanding and utilization of missing values in time series analysis.

A methodology for treating missing data applied to daily rainfall data in the Candelaro River Basin (Italy).

Science.gov (United States)

Lo Presti, Rossella; Barca, Emanuele; Passarella, Giuseppe

2010-01-01

Environmental time series are often affected by the "presence" of missing data, but when dealing statistically with data, the need to fill in the gaps estimating the missing values must be considered. At present, a large number of statistical techniques are available to achieve this objective; they range from very simple methods, such as using the sample mean, to very sophisticated ones, such as multiple imputation. A brand new methodology for missing data estimation is proposed, which tries to merge the obvious advantages of the simplest techniques (e.g. their vocation to be easily implemented) with the strength of the newest techniques. The proposed method consists in the application of two consecutive stages: once it has been ascertained that a specific monitoring station is affected by missing data, the "most similar" monitoring stations are identified among neighbouring stations on the basis of a suitable similarity coefficient; in the second stage, a regressive method is applied in order to estimate the missing data. In this paper, four different regressive methods are applied and compared, in order to determine which is the most reliable for filling in the gaps, using rainfall data series measured in the Candelaro River Basin located in South Italy.

Association of the Nurse Work Environment, Collective Efficacy, and Missed Care.

Science.gov (United States)

Smith, Jessica G; Morin, Karen H; Wallace, Leigh E; Lake, Eileen T

2018-06-01

Missed nursing care is a significant threat to quality patient care. Promoting collective efficacy within nurse work environments could decrease missed care. The purpose was to understand how missed care is associated with nurse work environments and collective efficacy of hospital staff nurses. A cross-sectional, convenience sample was obtained through online surveys from registered nurses working at five southwestern U.S. hospitals. Descriptive, correlational, regression, and path analyses were conducted ( N = 233). The percentage of nurses who reported that at least one care activity was missed frequently or always was 94%. Mouth care (36.0% of nurses) and ambulation (35.3%) were missed frequently or always. Nurse work environments and collective efficacy were moderately, positively correlated. Nurse work environments and collective efficacy were associated with less missed care (χ 2 = 10.714, p = .0054). Fostering collective efficacy in the nurse work environment could reduce missed care and improve patient outcomes.

Near misses and unsafe conditions reported in a Pediatric Emergency Research Network

Science.gov (United States)

Ruddy, Richard M; Chamberlain, James M; Mahajan, Prashant V; Funai, Tomohiko; O'Connell, Karen J; Blumberg, Stephen; Lichenstein, Richard; Gramse, Heather L; Shaw, Kathy N

2015-01-01

Objective Patient safety may be enhanced by using reports from front-line staff of near misses and unsafe conditions to identify latent safety events. We describe paediatric emergency department (ED) near-miss events and unsafe conditions from hospital reporting systems in a 1-year observational study from hospitals participating in the Pediatric Emergency Care Applied Research Network (PECARN). Design This is a secondary analysis of 1 year of incident reports (IRs) from 18 EDs in 2007–2008. Using a prior taxonomy and established method, this analysis is of all reports classified as near-miss (events not reaching the patient) or unsafe condition. Classification included type, severity, contributing factors and personnel involved. In-depth review of 20% of IRs was performed. Results 487 reports (16.8% of eligible IRs) are included. Most common were medication-related, followed by laboratory-related, radiology-related and process-related IRs. Human factors issues were related to 87% and equipment issues to 11%. Human factor issues related to non-compliance with procedures accounted for 66.4%, including 5.95% with no or incorrect ID. Handoff issues were important in 11.5%. Conclusions Medication and process-related issues are important causes of near miss and unsafe conditions in the network. Human factors issues were highly reported and non-compliance with established procedures was very common, and calculation issues, communications (ie, handoffs) and clinical judgment were also important. This work should enable us to help improve systems within the environment of the ED to enhance patient safety in the future. PMID:26338681

Imputation of missing data in time series for air pollutants

Science.gov (United States)

Junger, W. L.; Ponce de Leon, A.

2015-02-01

Missing data are major concerns in epidemiological studies of the health effects of environmental air pollutants. This article presents an imputation-based method that is suitable for multivariate time series data, which uses the EM algorithm under the assumption of normal distribution. Different approaches are considered for filtering the temporal component. A simulation study was performed to assess validity and performance of proposed method in comparison with some frequently used methods. Simulations showed that when the amount of missing data was as low as 5%, the complete data analysis yielded satisfactory results regardless of the generating mechanism of the missing data, whereas the validity began to degenerate when the proportion of missing values exceeded 10%. The proposed imputation method exhibited good accuracy and precision in different settings with respect to the patterns of missing observations. Most of the imputations obtained valid results, even under missing not at random. The methods proposed in this study are implemented as a package called mtsdi for the statistical software system R.

Motorola Xoom The Missing Manual

CERN Document Server

Gralla, Preston

2011-01-01

Motorola Xoom is the first tablet to rival the iPad, and no wonder with all of the great features packed into this device. But learning how to use everything can be tricky-and Xoom doesn't come with a printed guide. That's where this Missing Manual comes in. Gadget expert Preston Gralla helps you master your Xoom with step-by-step instructions and clear explanations. As with all Missing Manuals, this book offers refreshing, jargon-free prose and informative illustrations. Use your Xoom as an e-book reader, music player, camcorder, and phoneKeep in touch with email, video and text chat, and so

UV imaging reveals facial areas that are prone to skin cancer are disproportionately missed during sunscreen application.

Directory of Open Access Journals (Sweden)

Harry Pratt

Full Text Available Application of sunscreen is a widely used mechanism for protecting skin from the harmful effects of UV light. However, protection can only be achieved through effective application, and areas that are routinely missed are likely at increased risk of UV damage. Here we sought to determine if specific areas of the face are missed during routine sunscreen application, and whether provision of public health information is sufficient to improve coverage. To investigate this, 57 participants were imaged with a UV sensitive camera before and after sunscreen application: first visit; minimal pre-instruction, second visit; provided with a public health information statement. Images were scored using a custom automated image analysis process designed to identify areas of high UV reflectance, i.e. missed during sunscreen application, and analysed for 5% significance. Analyses revealed eyelid and periorbital regions to be disproportionately missed during routine sunscreen application (median 14% missed in eyelid region vs 7% in rest of face, p<0.01. Provision of health information caused a significant improvement in coverage to eyelid areas in general however, the medial canthal area was still frequently missed. These data reveal that a public health announcement-type intervention could be effective at improving coverage of high risk areas of the face, however high risk areas are likely to remain unprotected therefore other mechanisms of sun protection should be widely promoted such as UV blocking sunglasses.

No decrease in the rate of early or missed colorectal cancers after colonoscopy with polypectomy over a 10-year period : A population-based analysis

NARCIS (Netherlands)

Pullens, Hendrikus J M; Leenders, Max; Schipper, Marguerite E I; van Oijen, Martijn G H; Siersema, Peter D.

2015-01-01

Background & Aims: It is not clear whether the incidence of missed or early colorectal cancers (CRCs) has decreased over time. We compared the rates of missed or early CRC after polypectomy between 1996 and 2006, and aimed to identify risk factors for these. Methods: We performed a population-based,

No decrease in the rate of early or missed colorectal cancers after colonoscopy with polypectomy over a 10-year period: a population-based analysis

NARCIS (Netherlands)

Pullens, H.J.; Leenders, M.; Schipper, M.E.; Oijen, M.G. van; Siersema, P.D.

2015-01-01

BACKGROUND & AIMS: It is not clear whether the incidence of missed or early colorectal cancers (CRCs) has decreased over time. We compared the rates of missed or early CRC after polypectomy between 1996 and 2006, and aimed to identify risk factors for these. METHODS: We performed a population-based,

How shared preferences in music create bonds between people: values as the missing link.

Science.gov (United States)

Boer, Diana; Fischer, Ronald; Strack, Micha; Bond, Michael H; Lo, Eva; Lam, Jason

2011-09-01

How can shared music preferences create social bonds between people? A process model is developed in which music preferences as value-expressive attitudes create social bonds via conveyed value similarity. The musical bonding model links two research streams: (a) music preferences as indicators of similarity in value orientations and (b) similarity in value orientations leading to social attraction. Two laboratory experiments and one dyadic field study demonstrated that music can create interpersonal bonds between young people because music preferences can be cues for similar or dissimilar value orientations, with similarity in values then contributing to social attraction. One study tested and ruled out an alternative explanation (via personality similarity), illuminating the differential impact of perceived value similarity versus personality similarity on social attraction. Value similarity is the missing link in explaining the musical bonding phenomenon, which seems to hold for Western and non-Western samples and in experimental and natural settings.

Persistent Identifiers for Field Deployments: A Missing Link in the Provenance Chain

Science.gov (United States)

Arko, R. A.; Ji, P.; Fils, D.; Shepherd, A.; Chandler, C. L.; Lehnert, K.

2016-12-01

Research in the geosciences is characterized by a wide range of complex and costly field deployments including oceanographic cruises, submersible dives, drilling expeditions, seismic networks, geodetic campaigns, moored arrays, aircraft flights, and satellite missions. Each deployment typically produces a mix of sensor and sample data, spanning a period from hours to decades, that ultimately yields a long tail of post-field products and publications. Publishing persistent, citable identifiers for field deployments will facilitate 1) preservation and reuse of the original field data, 2) reproducibility of the resulting publications, and 3) recognition for both the facilities that operate the platforms and the investigators who secure funding for the experiments. In the ocean domain, sharing unique identifiers for field deployments is a familiar practice. For example, the Biological and Chemical Oceanography Data Management Office (BCO-DMO) routinely links datasets to cruise identifiers published by the Rolling Deck to Repository (R2R) program. In recent years, facilities have started to publish formal/persistent identifiers, typically Digital Object Identifiers (DOIs), for field deployments including seismic networks, oceanographic cruises, and moored arrays. For example, the EarthChem Library (ECL) publishes a DOI for each dataset which, if it derived from an oceanographic research cruise on a US vessel, is linked to a DOI for the cruise published by R2R. Work is underway to create similar links for the IODP JOIDES Resolution Science Operator (JRSO) and the Continental Scientific Drilling Coordination Office (CSDCO). We present results and lessons learned including a draft schema for publishing field deployments as DataCite DOI records; current practice for linking these DOIs with related identifiers such as Open Researcher and Contributor IDs (ORCIDs), Open Funder Registry (OFR) codes, and International Geo Sample Numbers (IGSNs); and consideration of other

Missing data imputation: focusing on single imputation.

Science.gov (United States)

Zhang, Zhongheng

2016-01-01

Complete case analysis is widely used for handling missing data, and it is the default method in many statistical packages. However, this method may introduce bias and some useful information will be omitted from analysis. Therefore, many imputation methods are developed to make gap end. The present article focuses on single imputation. Imputations with mean, median and mode are simple but, like complete case analysis, can introduce bias on mean and deviation. Furthermore, they ignore relationship with other variables. Regression imputation can preserve relationship between missing values and other variables. There are many sophisticated methods exist to handle missing values in longitudinal data. This article focuses primarily on how to implement R code to perform single imputation, while avoiding complex mathematical calculations.

Identifying relationships between the professional culture of pharmacy, pharmacists' personality traits, and the provision of advanced pharmacy services.

Science.gov (United States)

Rosenthal, Meagen; Tsao, Nicole W; Tsuyuki, Ross T; Marra, Carlo A

2016-01-01

Legislative changes are affording pharmacists the opportunity to provide more advanced pharmacy services. However, many pharmacists have not yet been able to provide these services sustainably. Research from implementation science suggests that before sustained change in pharmacy can be achieved an improved understanding of pharmacy context, through the professional culture of pharmacy and pharmacists' personality traits, is required. The primary objective of this study was to investigate possible relationships between cultural factors, and personality traits, and the uptake of advanced practice opportunities by pharmacists in British Columbia, Canada. The study design was a cross-sectional survey of registered, and practicing, pharmacists from one Canadian province. The survey gauged respondents' characteristics, practice setting, and the provision of advanced pharmacy services, and contained the Organizational Culture Profile (OCP), a measure of professional culture, as well as the Big Five Inventory (BFI), a measure of personality traits. A total of 945 completed survey instruments were returned. The majority of respondents were female (61%), the average age of respondents was 42 years (SD: 12), and the average number of years in practice was 19 (SD: 12). A significant positive relationship was identified for respondents perceiving greater value in the OCP factors competitiveness and innovation and providing a higher number of all advanced services. A positive relationship was observed for respondents scoring higher on the BFI traits extraversion and the immunizations provided, and agreeableness and openness and medication reviews completed. This is the first work to identify statistically significant relationships between the OCP and BFI, and the provision of advanced pharmacy services. As such, this work serves as a starting place from which to develop more detailed insight into how the professional culture of pharmacy and pharmacists personality traits may

The influence of diagnosis on psychotherapy missed opportunities in a veteran population.

Science.gov (United States)

Keeley, Jared Wayne; Cardin, Scott; Gonzalez, Rose

2016-01-01

Canceled or unattended psychotherapy sessions are a source of concern for patients, providers, and health-care systems. Veterans are particularly likely to experience mental health problems, and yet they are also especially susceptible to variables leading to premature termination of services. This study examined a large (n = 2285) sample of veterans receiving psychotherapy services to determine if mental health diagnosis had an impact upon missed psychotherapy opportunities. There were differential cancelation rates for individuals with different classes of disorder, and the total number of appointments a person scheduled changed the nature of the effect. Health-care administrators and treatment providers should consider the specific effects of individuals with differing diagnoses when planning courses of treatment and coordinating care.

Time Series Forecasting with Missing Values

Directory of Open Access Journals (Sweden)

Shin-Fu Wu

2015-11-01

Full Text Available Time series prediction has become more popular in various kinds of applications such as weather prediction, control engineering, financial analysis, industrial monitoring, etc. To deal with real-world problems, we are often faced with missing values in the data due to sensor malfunctions or human errors. Traditionally, the missing values are simply omitted or replaced by means of imputation methods. However, omitting those missing values may cause temporal discontinuity. Imputation methods, on the other hand, may alter the original time series. In this study, we propose a novel forecasting method based on least squares support vector machine (LSSVM. We employ the input patterns with the temporal information which is defined as local time index (LTI. Time series data as well as local time indexes are fed to LSSVM for doing forecasting without imputation. We compare the forecasting performance of our method with other imputation methods. Experimental results show that the proposed method is promising and is worth further investigations.

Missing School Matters

Science.gov (United States)

Balfanz, Robert

2016-01-01

Results of a survey conducted by the Office for Civil Rights show that 6 million public school students (13%) are not attending school regularly. Chronic absenteeism--defined as missing more than 10% of school for any reason--has been negatively linked to many key academic outcomes. Evidence shows that students who exit chronic absentee status can…

Missing Links in Genes to Traits: Toward Teaching for an Integrated Framework of Genetics

Science.gov (United States)

Pavlova, Iglika V.; Kreher, Scott A.

2013-01-01

Genetics, one of the most influential fields, underlies all of biology and produces discoveries that are in the news daily. However, many students leave introductory biology and genetics courses lacking a coherent framework of knowledge to use in their daily lives. We identify substantial "missing links" in the teaching of foundational…

Miss World going deshi

DEFF Research Database (Denmark)

Wildermuth, Norbert

  In November 1996 the South Indian metropolis Bangalore hosted the annual Miss World show. The live event and its televisualisation became a prominent symbol for the India's economic liberalisation and for the immanent globalizing dimensions of this development. As such, the highly prestigious......, the pageant's contestation, which gave rise to a series of vehement protests and a broad public debate about the country's cultural alienation, marked a crucial point in time and trend towards the (re)localisation of the Indian television landscape. In consequence, the 1996 Miss World show and its...... their vision and politics of gender, nation and modernity on the larger Indian public, over the last two decades. Engaging the Indian population increasingly by way of the new electronic, c&s distributed media, competing discourses of gender and sexuality were projected, basically as a necessary, effective...

mvp - an open-source preprocessor for cleaning duplicate records and missing values in mass spectrometry data.

Science.gov (United States)

Lee, Geunho; Lee, Hyun Beom; Jung, Byung Hwa; Nam, Hojung

2017-07-01

Mass spectrometry (MS) data are used to analyze biological phenomena based on chemical species. However, these data often contain unexpected duplicate records and missing values due to technical or biological factors. These 'dirty data' problems increase the difficulty of performing MS analyses because they lead to performance degradation when statistical or machine-learning tests are applied to the data. Thus, we have developed missing values preprocessor (mvp), an open-source software for preprocessing data that might include duplicate records and missing values. mvp uses the property of MS data in which identical chemical species present the same or similar values for key identifiers, such as the mass-to-charge ratio and intensity signal, and forms cliques via graph theory to process dirty data. We evaluated the validity of the mvp process via quantitative and qualitative analyses and compared the results from a statistical test that analyzed the original and mvp-applied data. This analysis showed that using mvp reduces problems associated with duplicate records and missing values. We also examined the effects of using unprocessed data in statistical tests and examined the improved statistical test results obtained with data preprocessed using mvp.

Topology-Based Estimation of Missing Smart Meter Readings

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Daisuke Kodaira

2018-01-01

Full Text Available Smart meters often fail to measure or transmit the data they record when measuring energy consumption, known as meter readings, owing to faulty measuring equipment or unreliable communication modules. Existing studies do not address successive and non-periodical missing meter readings. This paper proposes a method whereby missing readings observed at a node are estimated by using circuit theory principles that leverage the voltage and current data from adjacent nodes. A case study is used to demonstrate the ability of the proposed method to successfully estimate the missing readings over an entire day during which outages and unpredictable perturbations occurred.

Handling missing data in transmission disequilibrium test in nuclear families with one affected offspring.

Directory of Open Access Journals (Sweden)

Gulhan Bourget

Full Text Available The Transmission Disequilibrium Test (TDT compares frequencies of transmission of two alleles from heterozygote parents to an affected offspring. This test requires all genotypes to be known from all members of the nuclear families. However, obtaining all genotypes in a study might not be possible for some families, in which case, a data set results in missing genotypes. There are many techniques of handling missing genotypes in parents but only a few in offspring. The robust TDT (rTDT is one of the methods that handles missing genotypes for all members of nuclear families [with one affected offspring]. Even though all family members can be imputed, the rTDT is a conservative test with low power. We propose a new method, Mendelian Inheritance TDT (MITDT-ONE, that controls type I error and has high power. The MITDT-ONE uses Mendelian Inheritance properties, and takes population frequencies of the disease allele and marker allele into account in the rTDT method. One of the advantages of using the MITDT-ONE is that the MITDT-ONE can identify additional significant genes that are not found by the rTDT. We demonstrate the performances of both tests along with Sib-TDT (S-TDT in Monte Carlo simulation studies. Moreover, we apply our method to the type 1 diabetes data from the Warren families in the United Kingdom to identify significant genes that are related to type 1 diabetes.

MISSE PEACE Polymers Atomic Oxygen Erosion Results

Science.gov (United States)

deGroh, Kim, K.; Banks, Bruce A.; McCarthy, Catherine E.; Rucker, Rochelle N.; Roberts, Lily M.; Berger, Lauren A.

2006-01-01

Forty-one different polymer samples, collectively called the Polymer Erosion and Contamination Experiment (PEACE) Polymers, have been exposed to the low Earth orbit (LEO) environment on the exterior of the International Space Station (ISS) for nearly 4 years as part of Materials International Space Station Experiment 2 (MISSE 2). The objective of the PEACE Polymers experiment was to determine the atomic oxygen erosion yield of a wide variety of polymeric materials after long term exposure to the space environment. The polymers range from those commonly used for spacecraft applications, such as Teflon (DuPont) FEP, to more recently developed polymers, such as high temperature polyimide PMR (polymerization of monomer reactants). Additional polymers were included to explore erosion yield dependence upon chemical composition. The MISSE PEACE Polymers experiment was flown in MISSE Passive Experiment Carrier 2 (PEC 2), tray 1, on the exterior of the ISS Quest Airlock and was exposed to atomic oxygen along with solar and charged particle radiation. MISSE 2 was successfully retrieved during a space walk on July 30, 2005, during Discovery s STS-114 Return to Flight mission. Details on the specific polymers flown, flight sample fabrication, pre-flight and post-flight characterization techniques, and atomic oxygen fluence calculations are discussed along with a summary of the atomic oxygen erosion yield results. The MISSE 2 PEACE Polymers experiment is unique because it has the widest variety of polymers flown in LEO for a long duration and provides extremely valuable erosion yield data for spacecraft design purposes.

Missed retinal breaks in rhegmatogenous retinal detachment

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Brijesh Takkar

2016-12-01

Full Text Available AIM: To evaluate the causes and associations of missed retinal breaks (MRBs and posterior vitreous detachment (PVD in patients with rhegmatogenous retinal detachment (RRD. METHODS: Case sheets of patients undergoing vitreo retinal surgery for RRD at a tertiary eye care centre were evaluated retrospectively. Out of the 378 records screened, 253 were included for analysis of MRBs and 191 patients were included for analysis of PVD, depending on the inclusion criteria. Features of RRD and retinal breaks noted on examination were compared to the status of MRBs and PVD detected during surgery for possible associations. RESULTS: Overall, 27% patients had MRBs. Retinal holes were commonly missed in patients with lattice degeneration while missed retinal tears were associated with presence of complete PVD. Patients operated for cataract surgery were significantly associated with MRBs (P=0.033 with the odds of missing a retinal break being 1.91 as compared to patients with natural lens. Advanced proliferative vitreo retinopathy (PVR and retinal bullae were the most common reasons for missing a retinal break during examination. PVD was present in 52% of the cases and was wrongly assessed in 16%. Retinal bullae, pseudophakia/aphakia, myopia, and horse shoe retinal tears were strongly associated with presence of PVD. Traumatic RRDs were rarely associated with PVD. CONCLUSION: Pseudophakic patients, and patients with retinal bullae or advanced PVR should be carefully screened for MRBs. Though Weiss ring is a good indicator of PVD, it may still be over diagnosed in some cases. PVD is associated with retinal bullae and pseudophakia, and inversely with traumatic RRD.

Miss Julie: A Psychoanalytic Study

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Sonali Jain

2015-10-01

Full Text Available Sigmund Freud theorized that ‘the hero of the tragedy must suffer…to bear the burden of tragic guilt…(that lay in rebellion against some divine or human authority.’ August Strindberg, the Swedish poet, playwright, author and visual artist, like Shakespeare before him, portrayed insanity as the ultimate of tragic conflict. In this paper I seek to explore and reiterate the dynamics of human relationships that are as relevant today as they were in Strindberg’s time. I propose to examine Strindberg’s Miss Julie, a play set in nineteenth century Sweden, through a psychoanalytic lens. The play deals with bold themes of class and sexual identity politics. Notwithstanding the progress made in breaking down gender barriers, the inequalities inherent in a patriarchal system persist in modern society. Miss Julie highlights these imbalances. My analysis of the play deals with issues of culture and psyche, and draws on Freud, Melanie Klein, Lacan, Luce Irigaray and other contemporary feminists. Miss Julie is a discourse on hysteria, which is still pivotal to psychoanalysis. Prominent philosophers like Hegel and the psychoanalyst Jacques Lacan have written about the dialectic of the master and the slave – a relationship that is characterized by dependence, demand and cruelty. The history of human civilization shows beyond any doubt that there is an intimate connection between cruelty and the sexual instinct. An analysis of the text is carried out using the sado-masochistic dynamic as well the slave-master discourse. I argue that Miss Julie subverts the slave-master relationship. The struggle for dominance and power is closely linked with the theme of sexuality in the unconscious. To quote the English actor and director Alan Rickman, ‘Watching or working on the plays of Strindberg is like seeing the skin, flesh and bones of life separated from each other. Challenging and timeless.’

Sample-Based Extreme Learning Machine with Missing Data

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Hang Gao

2015-01-01

Full Text Available Extreme learning machine (ELM has been extensively studied in machine learning community during the last few decades due to its high efficiency and the unification of classification, regression, and so forth. Though bearing such merits, existing ELM algorithms cannot efficiently handle the issue of missing data, which is relatively common in practical applications. The problem of missing data is commonly handled by imputation (i.e., replacing missing values with substituted values according to available information. However, imputation methods are not always effective. In this paper, we propose a sample-based learning framework to address this issue. Based on this framework, we develop two sample-based ELM algorithms for classification and regression, respectively. Comprehensive experiments have been conducted in synthetic data sets, UCI benchmark data sets, and a real world fingerprint image data set. As indicated, without introducing extra computational complexity, the proposed algorithms do more accurate and stable learning than other state-of-the-art ones, especially in the case of higher missing ratio.

Identifying usability issues for personalization during formative evaluations: a comparisons of three methods

NARCIS (Netherlands)

van Velsen, Lex Stefan; van der Geest, Thea; Klaassen, R.F.

2011-01-01

A personalized system is one that generates unique output for each individual. As a result, personalization has transformed the interaction between the user and the system, and specific new usability issues have arisen. Methods used for evaluating personalized systems should be able to reveal the

Reduction of missed appointments at an urban primary care clinic: a randomised controlled study

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Calmy Alexandra

2010-10-01

Full Text Available Abstract Background Missed appointments are known to interfere with appropriate care and to misspend medical and administrative resources. The aim of this study was to test the effectiveness of a sequential intervention reminding patients of their upcoming appointment and to identify the profile of patients missing their appointments. Methods We conducted a randomised controlled study in an urban primary care clinic at the Geneva University Hospitals serving a majority of vulnerable patients. All patients booked in a primary care or HIV clinic at the Geneva University Hospitals were sent a reminder 48 hrs prior to their appointment according to the following sequential intervention: 1. Phone call (fixed or mobile reminder; 2. If no phone response: a Short Message Service (SMS reminder; 3. If no available mobile phone number: a postal reminder. The rate of missed appointment, the cost of the intervention, and the profile of patients missing their appointment were recorded. Results 2123 patients were included: 1052 in the intervention group, 1071 in the control group. Only 61.7% patients had a mobile phone recorded at the clinic. The sequential intervention significantly reduced the rate of missed appointments: 11.4% (n = 122 in the control group and 7.8% (n = 82 in the intervention group (p 1year (OR 2.2; CI: 1.15-4.2, substance abuse (2.09, CI 1.21-3.61, and being an asylum seeker (OR 2.73: CI 1.22-6.09. Conclusion A practical reminder system can significantly increase patient attendance at medical outpatient clinics. An intervention focused on specific patient characteristics could further increase the effectiveness of appointment reminders.

Principal Component Analysis of Process Datasets with Missing Values

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Kristen A. Severson

2017-07-01

Full Text Available Datasets with missing values arising from causes such as sensor failure, inconsistent sampling rates, and merging data from different systems are common in the process industry. Methods for handling missing data typically operate during data pre-processing, but can also occur during model building. This article considers missing data within the context of principal component analysis (PCA, which is a method originally developed for complete data that has widespread industrial application in multivariate statistical process control. Due to the prevalence of missing data and the success of PCA for handling complete data, several PCA algorithms that can act on incomplete data have been proposed. Here, algorithms for applying PCA to datasets with missing values are reviewed. A case study is presented to demonstrate the performance of the algorithms and suggestions are made with respect to choosing which algorithm is most appropriate for particular settings. An alternating algorithm based on the singular value decomposition achieved the best results in the majority of test cases involving process datasets.

The Missing Entrepreneurs 2014

DEFF Research Database (Denmark)

Halabisky, David; Potter, Jonathan; Thompson, Stuart

OECD's LEED Programme and the European Commission's DG on Employment, Social Affairs and Inclusion recently published the second book as part of their programme of work on inclusive entrepreneurship. The Missing Entrepreneurs 2014 examines how public policies at national and local levels can...

9 CFR 2.128 - Inspection for missing animals.

Science.gov (United States)

2010-01-01

... 9 Animals and Animal Products 1 2010-01-01 2010-01-01 false Inspection for missing animals. 2.128 Section 2.128 Animals and Animal Products ANIMAL AND PLANT HEALTH INSPECTION SERVICE, DEPARTMENT OF AGRICULTURE ANIMAL WELFARE REGULATIONS Miscellaneous § 2.128 Inspection for missing animals. Each dealer...

Identifying depression severity risk factors in persons with traumatic spinal cord injury.

Science.gov (United States)

Williams, Ryan T; Wilson, Catherine S; Heinemann, Allen W; Lazowski, Linda E; Fann, Jesse R; Bombardier, Charles H

2014-02-01

Examine the relationship between demographic characteristics, health-, and injury-related characteristics, and substance misuse across multiple levels of depression severity. 204 persons with traumatic spinal cord injury (SCI) volunteered as part of screening efforts for a randomized controlled trial of venlafaxine extended release for major depressive disorder (MDD). Instruments included the Patient Health Questionnaire-9 (PHQ-9) depression scale, the Alcohol Use Disorders Identification Test (AUDIT), and the Substance Abuse in Vocational Rehabilitation-Screener (SAVR-S), which contains 3 subscales: drug misuse, alcohol misuse, and a subtle items scale. Each of the SAVR-S subscales contributes to an overall substance use disorder (SUD) outcome. Three proportional odds models were specified, varying the substance misuse measure included in each model. 44% individuals had no depression symptoms, 31% had mild symptoms, 16% had moderate symptoms, 6% had moderately severe symptoms, and 3% had severe depression symptoms. Alcohol misuse, as indicated by the AUDIT and the SAVR-S drug misuse subscale scores were significant predictors of depression symptom severity. The SAVR-S substance use disorder (SUD) screening outcome was the most predictive variable. Level of education was only significantly predictive of depression severity in the model using the AUDIT alcohol misuse indicator. Likely SUD as measured by the SAVR-S was most predictive of depression symptom severity in this sample of persons with traumatic SCI. Drug and alcohol screening are important for identifying individuals at risk for depression, but screening for both may be optimal. Further research is needed on risk and protective factors for depression, including psychosocial characteristics. PsycINFO Database Record (c) 2014 APA, all rights reserved.

Standards should be applied in the prevention and handling of missing data for patient-centered outcomes research: a systematic review and expert consensus.

Science.gov (United States)

Li, Tianjing; Hutfless, Susan; Scharfstein, Daniel O; Daniels, Michael J; Hogan, Joseph W; Little, Roderick J A; Roy, Jason A; Law, Andrew H; Dickersin, Kay

2014-01-01

To recommend methodological standards in the prevention and handling of missing data for primary patient-centered outcomes research (PCOR). We searched National Library of Medicine Bookshelf and Catalog as well as regulatory agencies' and organizations' Web sites in January 2012 for guidance documents that had formal recommendations regarding missing data. We extracted the characteristics of included guidance documents and recommendations. Using a two-round modified Delphi survey, a multidisciplinary panel proposed mandatory standards on the prevention and handling of missing data for PCOR. We identified 1,790 records and assessed 30 as having relevant recommendations. We proposed 10 standards as mandatory, covering three domains. First, the single best approach is to prospectively prevent missing data occurrence. Second, use of valid statistical methods that properly reflect multiple sources of uncertainty is critical when analyzing missing data. Third, transparent and thorough reporting of missing data allows readers to judge the validity of the findings. We urge researchers to adopt rigorous methodology and promote good science by applying best practices to the prevention and handling of missing data. Developing guidance on the prevention and handling of missing data for observational studies and studies that use existing records is a priority for future research. Copyright © 2014 Elsevier Inc. All rights reserved.

Design and implementation of a near-miss reporting system at a large, academic pediatric anesthesia department.

Science.gov (United States)

Guffey, Patrick; Szolnoki, Judit; Caldwell, James; Polaner, David

2011-07-01

Current incident reporting systems encourage retrospective reporting of morbidity and mortality and have low participation rates. A near miss is an event that did not cause patient harm, but had the potential to. By tracking and analyzing near misses, systems improvements can be targeted appropriately, and future errors may be prevented. An electronic, web based, secure, anonymous reporting system for anesthesiologists was designed and instituted at The Children's Hospital, Denver. This portal was compared to an existing hospital incident reporting system. A total of 150 incidents were reported in the first 3 months of operation, compared to four entered in the same time period 1 year ago. An anesthesia-specific anonymous near-miss reporting system, which eases and facilitates data entry and can prospectively identify processes and practices that place patients at risk, was implemented at a large, academic, freestanding children's hospital. This resulted in a dramatic increase in reported events and provided data to target and drive quality and process improvement. © 2011 Blackwell Publishing Ltd.

Prevalence and Correlates of Missing Meals Among High School Students-United States, 2010.

Science.gov (United States)

Demissie, Zewditu; Eaton, Danice K; Lowry, Richard; Nihiser, Allison J; Foltz, Jennifer L

2018-01-01

To determine the prevalence and correlates of missing meals among adolescents. The 2010 National Youth Physical Activity and Nutrition Study, a cross-sectional study. School based. A nationally representative sample of 11 429 high school students. Breakfast, lunch, and dinner consumption; demographics; measured and perceived weight status; physical activity and sedentary behaviors; and fruit, vegetable, milk, sugar-sweetened beverage, and fast-food intake. Prevalence estimates for missing breakfast, lunch, or dinner on ≥1 day during the past 7 days were calculated. Associations between demographics and missing meals were tested. Associations of lifestyle and dietary behaviors with missing meals were examined using logistic regression controlling for sex, race/ethnicity, and grade. In 2010, 63.1% of students missed breakfast, 38.2% missed lunch, and 23.3% missed dinner; the prevalence was highest among female and non-Hispanic black students. Being overweight/obese, perceiving oneself to be overweight, and video game/computer use were associated with increased risk of missing meals. Physical activity behaviors were associated with reduced risk of missing meals. Students who missed breakfast were less likely to eat fruits and vegetables and more likely to consume sugar-sweetened beverages and fast food. Breakfast was the most frequently missed meal, and missing breakfast was associated with the greatest number of less healthy dietary practices. Intervention and education efforts might prioritize breakfast consumption.

78 FR 2256 - Extension of the Extended Missing Parts Pilot Program

Science.gov (United States)

2013-01-10

...] Extension of the Extended Missing Parts Pilot Program AGENCY: United States Patent and Trademark Office... pilot program (Extended Missing Parts Pilot Program) in which an applicant, under certain conditions... nonprovisional application. The Extended Missing Parts Pilot Program benefits applicants by permitting additional...

Severe Maternal or Near Miss Morbidity: Implications for Public Health Surveillance and Clinical Audit.

Science.gov (United States)

Kuklina, Elena V; Goodman, David A

2018-06-01

This chapter reviews the historical development of indicators to identify severe maternal morbidity/maternal near miss (SMM/MNM), and their use for public health surveillance, research, and clinical audit. While there has been progress toward identifying standard definitions for SMM/MNM within countries, there remain inconsistencies in the definition of SMM/MNM indicators and their application between countries. Using these indicators to screen for events that then trigger a clinical audit may both under identify select SMM/MNM (false negative)and over identify select SMM/MNM (false positive). Thus, indicators which support the efficient identification of SMM/MNM for the purpose of facility-based clinical audits are still needed.

Missed Opportunities for Hepatitis A Vaccination, National Immunization Survey-Child, 2013.

Science.gov (United States)

Casillas, Shannon M; Bednarczyk, Robert A

2017-08-01

To quantify the number of missed opportunities for vaccination with hepatitis A vaccine in children and assess the association of missed opportunities for hepatitis A vaccination with covariates of interest. Weighted data from the 2013 National Immunization Survey of US children aged 19-35 months were used. Analysis was restricted to children with provider-verified vaccination history (n = 13 460). Missed opportunities for vaccination were quantified by determining the number of medical visits a child made when another vaccine was administered during eligibility for hepatitis A vaccine, but hepatitis A vaccine was not administered. Cross-sectional bivariate and multivariate polytomous logistic regression were used to assess the association of missed opportunities for vaccination with child and maternal demographic, socioeconomic, and geographic covariates. In 2013, 85% of children in our study population had initiated the hepatitis A vaccine series, and 60% received 2 or more doses. Children who received zero doses of hepatitis A vaccine had an average of 1.77 missed opportunities for vaccination compared with 0.43 missed opportunities for vaccination in those receiving 2 doses. Children with 2 or more missed opportunities for vaccination initiated the vaccine series 6 months later than children without missed opportunities. In the fully adjusted multivariate model, children who were younger, had ever received WIC benefits, or lived in a state with childcare entry mandates were at a reduced odds for 2 or more missed opportunities for vaccination; children living in the Northeast census region were at an increased odds. Missed opportunities for vaccination likely contribute to the poor coverage for hepatitis A vaccination in children; it is important to understand why children are not receiving the vaccine when eligible. Copyright © 2017 Elsevier Inc. All rights reserved.

Empirical Likelihood in Nonignorable Covariate-Missing Data Problems.

Science.gov (United States)

Xie, Yanmei; Zhang, Biao

2017-04-20

Missing covariate data occurs often in regression analysis, which frequently arises in the health and social sciences as well as in survey sampling. We study methods for the analysis of a nonignorable covariate-missing data problem in an assumed conditional mean function when some covariates are completely observed but other covariates are missing for some subjects. We adopt the semiparametric perspective of Bartlett et al. (Improving upon the efficiency of complete case analysis when covariates are MNAR. Biostatistics 2014;15:719-30) on regression analyses with nonignorable missing covariates, in which they have introduced the use of two working models, the working probability model of missingness and the working conditional score model. In this paper, we study an empirical likelihood approach to nonignorable covariate-missing data problems with the objective of effectively utilizing the two working models in the analysis of covariate-missing data. We propose a unified approach to constructing a system of unbiased estimating equations, where there are more equations than unknown parameters of interest. One useful feature of these unbiased estimating equations is that they naturally incorporate the incomplete data into the data analysis, making it possible to seek efficient estimation of the parameter of interest even when the working regression function is not specified to be the optimal regression function. We apply the general methodology of empirical likelihood to optimally combine these unbiased estimating equations. We propose three maximum empirical likelihood estimators of the underlying regression parameters and compare their efficiencies with other existing competitors. We present a simulation study to compare the finite-sample performance of various methods with respect to bias, efficiency, and robustness to model misspecification. The proposed empirical likelihood method is also illustrated by an analysis of a data set from the US National Health and

Between the Cup and the Lip: Missed Dental Appointments.

Science.gov (United States)

Tandon, Sandeep; Duhan, Reena; Sharma, Meenakshi; Vasudeva, Suraj

2016-05-01

Missed appointments are an issue which have been very commonly noticed but overlooked in Indian dental society. Almost every dentist, general or specialized, private or public, has faced this problem in routine practice but very less research has been conducted on this issue in Asian countries. The aim of this study was to determine the frequency and distribution of missed dental appointments among children and the reasons behind the non-attendance in department of paediatric and preventive dentistry. Patients under 15 years of age who reported during the period March through August 2014 were included in this study. Attendance data and demographical data for patients was obtained from patient records and the hospital database. The type of treatment patients were to receive was gathered from the appointment diaries of staff, postgraduate students and undergraduates. A structured questionnaire regarding the most frequent reasons given by patients for not attending the scheduled appointment was also prepared. The data were analysed using descriptive analysis. Of the total 2294 patients 886 patients failed to come on their scheduled appointment. Percentage of patients who missed their appointments was 38.6%. A 38.2% of them required primary teeth pulp therapy. No significant differences was found between genders regarding the prevalence of missed dental appointments. Only 40% dentist witnessed that the most common reason for their patients to miss dental appointment was "no leave from school". Illness was the second frequent excuse heard by dentists (5/20= 25%) from their patients and attendants. Missed dental appointment was found to be a common issue in paediatric age group. Counseling and motivation is required to be done at first dental visit to reduce the chances of missed appointment.

Measuring Teacher Dispositions: Identifying Workplace Personality Traits Most Relevant to Teaching Professionals

Science.gov (United States)

Yao, Yuankun; Pagnani, Alexander; Thomas, Matt; Abellan-Pagnani, Luisa; Brown, Terrell; Buchanan, Dawna Lisa

2017-01-01

What personality traits represent dispositions most relevant to teaching professionals? Could an instrument reflecting work personality traits for a wide variety of professions provide a valid assessment of dispositions for teacher candidates? This study analyzed the internal structure of a state mandated dispositions assessment that was adapted…

Personality Profiles Identify Depressive Symptoms over Ten Years? A Population-Based Study

Directory of Open Access Journals (Sweden)

Kim Josefsson

2011-01-01

Full Text Available Little is known about the relationship between temperament and character inventory (TCI profiles and depressive symptoms. Personality profiles are useful, because personality traits may have different effects on depressive symptoms when combined with different combinations of other traits. Participants were from the population-based Young Finns study with repeated measurements in 1997, 2001, and 2007 (=1402 to 1902. TCI was administered in 1997 and mild depressive symptoms (modified Beck’s depression inventory, BDI were reported in 1997, 2001, and 2007. BDI-II was also administered in 2007. We found that high harm avoidance and low self-directedness related strongly to depressive symptoms. In addition, sensitive (NHR and fanatical people (ScT were especially vulnerable to depressive symptoms. high novelty seeking and reward dependence increased depressive symptoms when harm avoidance was high. These associations were very similar in cross-sectional and longitudinal analysis. Personality profiles help in understanding the complex associations between depressive symptoms and personality.

Ultrasonographic findings of Myoma, H-mole and Missed abortion

International Nuclear Information System (INIS)

Huh, Nam Yoon; You, H. S.; Seong, K. J.; Park, C. Y.

1982-01-01

Ultrasonography is very important in the diagnosis of various kinds of diseases in Obsterics and Gynecology. It has high diagnostic accuracy in the diagnosis of pelvic masses and widely used for the detection of normal orpathologic pregnancy. But still it is difficult to differentiate degenerated myoma, H-mole and missed abortion by ultrasonography. So the authors analyzed the ultrasonographic findings of 81 patients with myoma(29 cases), H-mole(23 cases), and missed abortion(29 cases) and the results are as follows; 1. Diagnostic accuracy was 8.6% in myoma, 87% in H-mole and 89% in missed abortion. 2. The most typical ultrasonographic finding of myoma was obulated mass contour with nonhomogenous internal echo. 3. The most characteristic finding of H-mole was fine vesicular pattern internal echo with globular enlargement of uterus. 4. The most frequent finding of missed abortion was deformed gestational sac with or without remained fetal echo. 5. Clinical correlation was very important for accurate diagnosis, especially when differential diagnosis was very difficult between myoma with marked cystic degeneration, missed abortion with large distorted gestational sac and H-mole with severe degeneration

iLife '05 The Missing Manual

CERN Document Server

Pogue, David

2005-01-01

The incomparable iLife '05 is the must-have multimedia suite for everyone who owns a Mac--and the envy of everyone who doesn't. iLife '05: The Missing Manual is the definitive iLife '05 book--and what should have come with the suite. There's no better guide to your iLife experience than the #1 bestselling Macintosh author and expert--and Missing Manual series creator--David Pogue. Totally objective and utterly in-the-know, Pogue highlights the newest features, changes, and improvements of iLife '05, covers the capabilities and limitations of each program within the suite, and delivers count

The role of proxy information in missing data analysis.

Science.gov (United States)

Huang, Rong; Liang, Yuanyuan; Carrière, K C

2005-10-01

This article investigates the role of proxy data in dealing with the common problem of missing data in clinical trials using repeated measures designs. In an effort to avoid the missing data situation, some proxy information can be gathered. The question is how to treat proxy information, that is, is it always better to utilize proxy information when there are missing data? A model for repeated measures data with missing values is considered and a strategy for utilizing proxy information is developed. Then, simulations are used to compare the power of a test using proxy to simply utilizing all available data. It is concluded that using proxy information can be a useful alternative when such information is available. The implications for various clinical designs are also considered and a data collection strategy for efficiently estimating parameters is suggested.

Newly identified psychiatric illness in one general practice: 12-month outcome and the influence of patients' personality.

Science.gov (United States)

Wright, A F; Anderson, A J

1995-01-01

BACKGROUND. Relatively little is known about the natural history and outcome of psychological problems in patients who present to general practitioners. Only a small proportion of such patients are seen by specialists. Clinical experience suggests that patient personality is one of the factors influencing outcome in patients diagnosed as having psychiatric illness. AIM. This study set out to examine prospectively the progress and 12-month outcome of patients with newly identified psychiatric illness, and the association of patients' personality with outcome. METHOD. One hundred and seventy one patients with clinically significant psychiatric illness attending one practice in a Scottish new town were followed up prospectively (96 presented with psychological symptoms and 75 with somatic symptoms), and were compared with a group of 127 patients with chronic physical illness. Patients were assessed in terms of psychiatric state, social problems and personality using both computer-based and pencil and paper tests in addition to clinical assessments at each consultation during the follow-up year and structured interview one year after recruitment. RESULTS. Most of the improvement in psychiatric state scores on the 28-item general health questionnaire occurred in the first six months of the illness. Of the 171 patients with psychiatric illness 34% improved quickly and remained well, 54% had an intermittent course but had improved at 12-month follow up while 12% pursued a chronic course without improvement. The mean number of consultations in the follow-up year was 8.4 for patients presenting with psychological symptoms, 7.2 for those presenting with somatic symptoms and 6.6 for patients with chronic physical illness. The Eysenck N score proved a strong predictor of the outcome of new psychiatric illness. CONCLUSION. Only one in three patients with newly identified psychiatric illness improved quickly and and remained well, reflecting the importance of continuing care of

Features of psychoemotional state of pregnant women with missed abortion in the early stages of pregnancy

Directory of Open Access Journals (Sweden)

O.O. Bala

2016-06-01

Full Text Available Purpose. To determine peculiarities of psychoemotional state of pregnant women with missed abortion in the early stages of pregnancy. Patients and methods. The study included 60 women with missed abortion in the early stages of pregnancy (I group and 30 women with an advanced pregnancy to 8 weeks of gestation (II control group. To determine peculiarities of psychoemotional status of women conducted a survey according to standard methods: determination of the level of neuropsychic tension on questionnaire Nemchina, the level of anxiety according to the scale Spielberg—Hanin, the level of anxiety on a scale of Taylor—Norakidze. Results. Analysis of psychoemotional state groups have demonstrated that pregnant women with physiological course of pregnancy at an early stage (group II is characterized by a moderate level of mental stress (40.8±1.3 on a scale of Nemchina, the average level of personal and reactive anxiety (38.6±1.1 and 37.2±1.2, respectively according to the scale Spielberg—Hanin, the average anxiety level on a scale of Taylor— Norakidze. In women with the missed abortion at the early stages of pregnancy there is a high level of psychoemotional load, reactive anxiety (57.3±1.6, mental stress (of 62.6±1.4 and anxiety (31.8±2.3 years. Conclusions. The obtained results indicate the need for strong psychological support and if necessary medical assistance to women with missed abortion in the early stages of pregnancy, since the accession of psychopathological symptoms does not contribute to the psycho-emotional adaptation and can provoke the development of psychosomatic pathological syndromes in postabortion period and on the phase of rehabilitation and subsequent pregravid preparation.

Identifying Personal Goals of Patients With Long Term Condition: A Service Design Thinking Approach.

Science.gov (United States)

Lee, Eunji; Gammon, Deede

2017-01-01

Care for patients with long term conditions is often characterized as fragmented and ineffective, and fails to engage the resources of patients and their families in the care process. Information and communication technology can potentially help bridge the gap between patients' lives and resources and services provided by professionals. However, there is little attention on how to identify and incorporate the patients' individual needs, values, preferences and care goals into the digitally driven care settings. We conducted a case study with healthcare professionals and patients participated applying a service design thinking approach. The participants could elaborate some personal goals of patients with long term condition which can potentially be incorporated in digitally driven care plans using examples from their own experiences.

Some 'Near Miss ' Experiences

African Journals Online (AJOL)

perienced health Workers, especially at lower level units, poor referral ... in the wards or operating theatre, and inability to access the busy health .... clinics, costs incurred and by who, who decided on hospitalisation, who .... pected pregnancy as I had missed my period the previous month. .... the patient received attention.

MISSE in the Materials and Processes Technical Information System (MAPTIS )

Science.gov (United States)

Burns, DeWitt; Finckenor, Miria; Henrie, Ben

2013-01-01

Materials International Space Station Experiment (MISSE) data is now being collected and distributed through the Materials and Processes Technical Information System (MAPTIS) at Marshall Space Flight Center in Huntsville, Alabama. MISSE data has been instrumental in many programs and continues to be an important source of data for the space community. To facilitate great access to the MISSE data the International Space Station (ISS) program office and MAPTIS are working to gather this data into a central location. The MISSE database contains information about materials, samples, and flights along with pictures, pdfs, excel files, word documents, and other files types. Major capabilities of the system are: access control, browsing, searching, reports, and record comparison. The search capabilities will search within any searchable files so even if the desired meta-data has not been associated data can still be retrieved. Other functionality will continue to be added to the MISSE database as the Athena Platform is expanded

Expanding the scope beyond mortality: burden and missed opportunities in maternal morbidity in Indonesia.

Science.gov (United States)

Widyaningsih, Vitri; Khotijah; Balgis

2017-01-01

Indonesia still faces challenges in maternal health. Specifically, the lack of information on community-level maternal morbidity. The relatively high maternal healthcare non-utilization in Indonesia intensifies this problem. To describe the burden of community-level maternal morbidity in Indonesia. Additionally, to evaluate the extent and determinants of missed opportunities in women with maternal morbidity. We used three cross-sectional surveys (Indonesian Demographic and Health Survey, IDHS 2002, 2007 and 2012). Crude and adjusted proportions of maternal morbidity burden were estimated from 43,782 women. We analyzed missed opportunities in women who experienced maternal morbidity during their last birth (n = 19,556). Multilevel mixed-effects logistic regressions were used to evaluate the determinants of non-utilization in IDHS 2012 (n = 6762). There were significant increases in the crude and adjusted proportion of maternal morbidity from IDHS 2002 to IDHS 2012 (p Indonesia. The prevalence of maternal morbidity in Indonesia is relatively high, especially during labor. This condition is amplified by the concerning missed opportunities in maternal healthcare. Efforts are needed to identify risk factors for maternal morbidity, as well as increasing healthcare coverage for the vulnerable population.

Slp-76 is a critical determinant of NK cell-mediated recognition of missing-self targets

Science.gov (United States)

Lampe, Kristin; Endale, Mehari; Cashman, Siobhan; Fang, Hao; Mattner, Jochen; Hildeman, David; Hoebe, Kasper

2015-01-01

Absence of MHC class I expression is an important mechanism by which NK cells recognize a variety of target cells, yet the pathways underlying “missing-self” recognition, including the involvement of activating receptors, remain poorly understood. Using ENU mutagenesis in mice, we identified a germline mutant, designated Ace, with a marked defect in NK cell-mediated recognition and elimination of “missing-self” targets. The causative mutation was linked to chromosome 11 and identified as a missense mutation [Thr428Ile] in the SH2 domain of Slp-76—a critical adapter molecule downstream of ITAM-containing surface receptors. The Slp-76 Ace mutation behaved as a hypomorphic allele—while no major defects were observed in conventional T cell development/function, a marked defect in NK cell-mediated elimination of β2-Microglobulin (β2M)-deficient target cells was observed. Further studies revealed Slp-76 to control NK cell receptor expression and maturation, however, activation of Slp-76ace/ace NK cells through ITAM-containing NK cell receptors or allogeneic/tumor target cells appeared largely unaffected. Imagestream analysis of the NK-β2M−/− target cell synapse, revealed a specific defect in actin recruitment to the conjugate synapse in Slp-76ace/ace NK cells. Overall these studies establish Slp-76 as a critical determinant of NK cell development and NK cell-mediated elimination of missing-self target cells. PMID:25929249

Slp-76 is a critical determinant of NK-cell mediated recognition of missing-self targets.

Science.gov (United States)

Lampe, Kristin; Endale, Mehari; Cashman, Siobhan; Fang, Hao; Mattner, Jochen; Hildeman, David; Hoebe, Kasper

2015-07-01

Absence of MHC class I expression is an important mechanism by which NK cells recognize a variety of target cells, yet the pathways underlying "missing-self" recognition, including the involvement of activating receptors, remain poorly understood. Using ethyl-N-nitrosourea mutagenesis in mice, we identified a germline mutant, designated Ace, with a marked defect in NK cell mediated recognition and elimination of "missing-self" targets. The causative mutation was linked to chromosome 11 and identified as a missense mutation (Thr428Ile) in the SH2 domain of Slp-76-a critical adapter molecule downstream of ITAM-containing surface receptors. The Slp-76 Ace mutation behaved as a hypomorphic allele-while no major defects were observed in conventional T-cell development/function, a marked defect in NK cell mediated elimination of β2-microglobulin (β2M) deficient target cells was observed. Further studies revealed Slp-76 to control NK-cell receptor expression and maturation; however, activation of Slp-76(ace/ace) NK cells through ITAM-containing NK-cell receptors or allogeneic/tumor target cells appeared largely unaffected. Imagestream analysis of the NK-β2M(-/-) target cell synapse revealed a specific defect in actin recruitment to the conjugate synapse in Slp-76(ace/ace) NK cells. Overall these studies establish Slp-76 as a critical determinant of NK-cell development and NK cell mediated elimination of missing-self target cells in mice. © 2015 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Moderation analysis with missing data in the predictors.

Science.gov (United States)

Zhang, Qian; Wang, Lijuan

2017-12-01

The most widely used statistical model for conducting moderation analysis is the moderated multiple regression (MMR) model. In MMR modeling, missing data could pose a challenge, mainly because the interaction term is a product of two or more variables and thus is a nonlinear function of the involved variables. In this study, we consider a simple MMR model, where the effect of the focal predictor X on the outcome Y is moderated by a moderator U. The primary interest is to find ways of estimating and testing the moderation effect with the existence of missing data in X. We mainly focus on cases when X is missing completely at random (MCAR) and missing at random (MAR). Three methods are compared: (a) Normal-distribution-based maximum likelihood estimation (NML); (b) Normal-distribution-based multiple imputation (NMI); and (c) Bayesian estimation (BE). Via simulations, we found that NML and NMI could lead to biased estimates of moderation effects under MAR missingness mechanism. The BE method outperformed NMI and NML for MMR modeling with missing data in the focal predictor, missingness depending on the moderator and/or auxiliary variables, and correctly specified distributions for the focal predictor. In addition, more robust BE methods are needed in terms of the distribution mis-specification problem of the focal predictor. An empirical example was used to illustrate the applications of the methods with a simple sensitivity analysis. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

Combining MODIS, MISR, CALIOP, OMI, AERONET, and Models to Identify the Spatial and Temporal Distribution, Characterization, and Magnitude of Missing Urban and Wildfire Emissions Sources throughout Asia.

Science.gov (United States)

Cohen, J. B.

2016-12-01

Due to intense and changing levels of emissions as well as highly non-linear chemical processing, the concentrations of aerosols and thus their impacts are not well known. Urban areas consist of the majority of the emissions of these species and their precursors over large periods of time, while wildfires contribute very large spikes, concentrated in space and over a period of weeks to months. Yet due to urban and economic expansion, as well as clouds amd low intensity burning, the spatial and temporal profiles of these species are changing, with both new sources appearing and old sources decreasing. New work incorporates measurements at different spatial andboptical resolutions from MODIS, MISR, and OMI, coupled with new sampling approaches with CALIOP and AERONET to search for, characterize, and spatially and temporally constrain aerosols. An advanced modeling system including aerosol chemistry, physics, optics, and transport, using a multi-modal and both externally mixed and core-shell mixing is used to quantify the magnitudes of these missing sources. Comparisons between the model and additional dozens of ground stations show extreme improvement when these new sources are included. This new approach is shown to identify new source regions of emissions, many of which were previously non-urbanized or were not found to contain any fire hotspots. In addition, the use of new models run under conditions including both missing local sources from regions such as the expanded urban areas in Southeast and East Asia and advanced chemical and aerosol routines, allow for a comprehensive analysis to be performed. The impacts of insitu chemistry, horizontal, and vertical transport of species, both on the Regional and Continental scale are also included. It is shown that for proper identification, especially on intra-annual and inter-annual variations, this approach is a large improvement throughout Asia, ranging from India, to Indonesia, to China and Japan. Results specific

Optimal and fast rotational alignment of volumes with missing data in Fourier space.

Science.gov (United States)

Shatsky, Maxim; Arbelaez, Pablo; Glaeser, Robert M; Brenner, Steven E

2013-11-01

Electron tomography of intact cells has the potential to reveal the entire cellular content at a resolution corresponding to individual macromolecular complexes. Characterization of macromolecular complexes in tomograms is nevertheless an extremely challenging task due to the high level of noise, and due to the limited tilt angle that results in missing data in Fourier space. By identifying particles of the same type and averaging their 3D volumes, it is possible to obtain a structure at a more useful resolution for biological interpretation. Currently, classification and averaging of sub-tomograms is limited by the speed of computational methods that optimize alignment between two sub-tomographic volumes. The alignment optimization is hampered by the fact that the missing data in Fourier space has to be taken into account during the rotational search. A similar problem appears in single particle electron microscopy where the random conical tilt procedure may require averaging of volumes with a missing cone in Fourier space. We present a fast implementation of a method guaranteed to find an optimal rotational alignment that maximizes the constrained cross-correlation function (cCCF) computed over the actual overlap of data in Fourier space. Copyright © 2013 The Authors. Published by Elsevier Inc. All rights reserved.

Using Prayer as an Intervention with Clients Who Are Substance Abusing and Addicted and Who Self-Identify Personal Faith in God and Prayer as Recovery Resources

Science.gov (United States)

Juhnke, Gerald A.; Watts, Richard E.; Guerra, Norma S.; Hsieh, Peggy

2009-01-01

This article describes how the authors use prayer with clients who self-identify their personal faith in God and who have used prayer as a helpful recovery agent or who believe prayer would be helpful to their personal recovery.

Trending of low level events and near misses to enhance safety performance in nuclear power plants

International Nuclear Information System (INIS)

2005-11-01

The IAEA Safety Fundamentals publication, Safety of Nuclear Installations, Safety Series No. 110, states the need for operating organizations to establish a programme for the collection and analysis of operating experience in nuclear power plants. Such a programme ensures that operating experience is analysed, events important to safety are reviewed in depth, and lessons learned are disseminated to the staff of the organization and to relevant national and international organizations. As a result of the effort to enhance safety in operating organizations, incidents are progressively decreasing in number and significance. This means that in accordance with international reporting requirements the amount of collected data becomes less sufficient to draw meaningful statistical conclusions. This is where the collection and trend analysis of low level events and near misses can prove to be very useful. These trends can show which of the safety barriers are weak or failing more frequently. Evaluation and trending of low level events and near misses will help to prevent major incidents because latent weaknesses have been identified and corrective actions taken to prevent recurrence. This leads to improved safety and production. Low level events and near misses, which may reach several thousand per reactor operating year, need to be treated by the organizations as learning opportunities. A system for capturing these low level events and near misses truly needs to be an organization-wide system in which all levels of the organization, including contractors, participate. It is desirable that the overall operational experience feedback (OEF) process should integrate the lessons learned and the associated data from significant events with those of lower level events and near misses. To be able to effectively implement a process dealing with low level events and near misses, it is necessary that the organization have a well established OEF process for significant events

Statistical analysis of longitudinal quality of life data with missing measurements

NARCIS (Netherlands)

Zwinderman, A. H.

1992-01-01

The statistical analysis of longitudinal quality of life data in the presence of missing data is discussed. In cancer trials missing data are generated due to the fact that patients die, drop out, or are censored. These missing data are problematic in the monitoring of the quality of life during the

Do we become a different person when hitting the road? Personality development of sojourners.

Science.gov (United States)

Zimmermann, Julia; Neyer, Franz J

2013-09-01

International mobility is a prevalent life event that particularly affects university students. The aim of this longitudinal study was twofold: First, we examined the impact of international mobility on personality (Big Five) change, separating self-selection effects from socialization processes. Second, we extended prior analyses on the association between life events and personality development by investigating the mechanisms that account for socialization processes. In particular, we assessed whether individual differences in the fluctuation of support relationships serve as an explanatory link. We used a prospective control group design with 3 measurement occasions. A sample of university students, containing both short-term (i.e., 1 semester) and long-term (i.e., 1 academic year) sojourners (N = 527) along with control students (N = 607), was tracked over the course of an academic year. Multivariate latent models revealed 3 main findings: First, initial (pre-departure) levels of Extraversion and Conscientiousness predicted short-term sojourning, and Extraversion and Openness predicted long-term sojourning. Second, both forms of sojourning were associated with increases in Openness and Agreeableness and a decrease in Neuroticism above and beyond the observed self-selection. Third, the acquisition of new international support relationships largely accounted for the sojourn effects on personality change. These findings help to fill the missing link between life events and personality development by establishing social relationship fluctuation as an important mediating mechanism.

Pitfalls in genetic testing: the story of missed SCN1A mutations.

Science.gov (United States)

Djémié, Tania; Weckhuysen, Sarah; von Spiczak, Sarah; Carvill, Gemma L; Jaehn, Johanna; Anttonen, Anna-Kaisa; Brilstra, Eva; Caglayan, Hande S; de Kovel, Carolien G; Depienne, Christel; Gaily, Eija; Gennaro, Elena; Giraldez, Beatriz G; Gormley, Padhraig; Guerrero-López, Rosa; Guerrini, Renzo; Hämäläinen, Eija; Hartmann, Corinna; Hernandez-Hernandez, Laura; Hjalgrim, Helle; Koeleman, Bobby P C; Leguern, Eric; Lehesjoki, Anna-Elina; Lemke, Johannes R; Leu, Costin; Marini, Carla; McMahon, Jacinta M; Mei, Davide; Møller, Rikke S; Muhle, Hiltrud; Myers, Candace T; Nava, Caroline; Serratosa, Jose M; Sisodiya, Sanjay M; Stephani, Ulrich; Striano, Pasquale; van Kempen, Marjan J A; Verbeek, Nienke E; Usluer, Sunay; Zara, Federico; Palotie, Aarno; Mefford, Heather C; Scheffer, Ingrid E; De Jonghe, Peter; Helbig, Ingo; Suls, Arvid

2016-07-01

Sanger sequencing, still the standard technique for genetic testing in most diagnostic laboratories and until recently widely used in research, is gradually being complemented by next-generation sequencing (NGS). No single mutation detection technique is however perfect in identifying all mutations. Therefore, we wondered to what extent inconsistencies between Sanger sequencing and NGS affect the molecular diagnosis of patients. Since mutations in SCN1A, the major gene implicated in epilepsy, are found in the majority of Dravet syndrome (DS) patients, we focused on missed SCN1A mutations. We sent out a survey to 16 genetic centers performing SCN1A testing. We collected data on 28 mutations initially missed using Sanger sequencing. All patients were falsely reported as SCN1A mutation-negative, both due to technical limitations and human errors. We illustrate the pitfalls of Sanger sequencing and most importantly provide evidence that SCN1A mutations are an even more frequent cause of DS than already anticipated.

Targeting safety improvements through identification of incident origination and detection in a near-miss incident learning system

International Nuclear Information System (INIS)

Novak, Avrey; Nyflot, Matthew J.; Ermoian, Ralph P.; Jordan, Loucille E.; Sponseller, Patricia A.; Kane, Gabrielle M.; Ford, Eric C.; Zeng, Jing

2016-01-01

Purpose: Radiation treatment planning involves a complex workflow that has multiple potential points of vulnerability. This study utilizes an incident reporting system to identify the origination and detection points of near-miss errors, in order to guide their departmental safety improvement efforts. Previous studies have examined where errors arise, but not where they are detected or applied a near-miss risk index (NMRI) to gauge severity. Methods: From 3/2012 to 3/2014, 1897 incidents were analyzed from a departmental incident learning system. All incidents were prospectively reviewed weekly by a multidisciplinary team and assigned a NMRI score ranging from 0 to 4 reflecting potential harm to the patient (no potential harm to potential critical harm). Incidents were classified by point of incident origination and detection based on a 103-step workflow. The individual steps were divided among nine broad workflow categories (patient assessment, imaging for radiation therapy (RT) planning, treatment planning, pretreatment plan review, treatment delivery, on-treatment quality management, post-treatment completion, equipment/software quality management, and other). The average NMRI scores of incidents originating or detected within each broad workflow area were calculated. Additionally, out of 103 individual process steps, 35 were classified as safety barriers, the process steps whose primary function is to catch errors. The safety barriers which most frequently detected incidents were identified and analyzed. Finally, the distance between event origination and detection was explored by grouping events by the number of broad workflow area events passed through before detection, and average NMRI scores were compared. Results: Near-miss incidents most commonly originated within treatment planning (33%). However, the incidents with the highest average NMRI scores originated during imaging for RT planning (NMRI = 2.0, average NMRI of all events = 1.5), specifically

Targeting safety improvements through identification of incident origination and detection in a near-miss incident learning system

Energy Technology Data Exchange (ETDEWEB)

Novak, Avrey; Nyflot, Matthew J.; Ermoian, Ralph P.; Jordan, Loucille E.; Sponseller, Patricia A.; Kane, Gabrielle M.; Ford, Eric C.; Zeng, Jing, E-mail: jzeng13@uw.edu [Department of Radiation Oncology, University of Washington Medical Center, 1959 NE Pacific Street, Campus Box 356043, Seattle, Washington 98195 (United States)

2016-05-15

Purpose: Radiation treatment planning involves a complex workflow that has multiple potential points of vulnerability. This study utilizes an incident reporting system to identify the origination and detection points of near-miss errors, in order to guide their departmental safety improvement efforts. Previous studies have examined where errors arise, but not where they are detected or applied a near-miss risk index (NMRI) to gauge severity. Methods: From 3/2012 to 3/2014, 1897 incidents were analyzed from a departmental incident learning system. All incidents were prospectively reviewed weekly by a multidisciplinary team and assigned a NMRI score ranging from 0 to 4 reflecting potential harm to the patient (no potential harm to potential critical harm). Incidents were classified by point of incident origination and detection based on a 103-step workflow. The individual steps were divided among nine broad workflow categories (patient assessment, imaging for radiation therapy (RT) planning, treatment planning, pretreatment plan review, treatment delivery, on-treatment quality management, post-treatment completion, equipment/software quality management, and other). The average NMRI scores of incidents originating or detected within each broad workflow area were calculated. Additionally, out of 103 individual process steps, 35 were classified as safety barriers, the process steps whose primary function is to catch errors. The safety barriers which most frequently detected incidents were identified and analyzed. Finally, the distance between event origination and detection was explored by grouping events by the number of broad workflow area events passed through before detection, and average NMRI scores were compared. Results: Near-miss incidents most commonly originated within treatment planning (33%). However, the incidents with the highest average NMRI scores originated during imaging for RT planning (NMRI = 2.0, average NMRI of all events = 1.5), specifically

Exoatmospheric intercepts using zero effort miss steering for midcourse guidance

Science.gov (United States)

Newman, Brett

The suitability of proportional navigation, or an equivalent zero effort miss formulation, for exatmospheric intercepts during midcourse guidance, followed by a ballistic coast to the endgame, is addressed. The problem is formulated in terms of relative motion in a general, three dimensional framework. The proposed guidance law for the commanded thrust vector orientation consists of the sum of two terms: (1) along the line of sight unit direction and (2) along the zero effort miss component perpendicular to the line of sight and proportional to the miss itself and a guidance gain. If the guidance law is to be suitable for longer range targeting applications with significant ballistic coasting after burnout, determination of the zero effort miss must account for the different gravitational accelerations experienced by each vehicle. The proposed miss determination techniques employ approximations for the true differential gravity effect and thus, are less accurate than a direct numerical propagation of the governing equations, but more accurate than a baseline determination, which assumes equal accelerations for both vehicles. Approximations considered are constant, linear, quadratic, and linearized inverse square models. Theoretical results are applied to a numerical engagement scenario and the resulting performance is evaluated in terms of the miss distances determined from nonlinear simulation.

577 Missed opportunities for inununisation in Natal health facilities

African Journals Online (AJOL)

Wkly Epidemwl Rec 1984; 59: 117-119. 5. Expanded Programme on Immunization. Missed immunizacion opportunities and acceptability of immunization. Wkly Epidemiol Rec. 1989;64: 181-184. . . 6. Loevinsohn BP. Missed opportunities for immunization during visits for curative care: practical reasons for their occurrence.

78 FR 37598 - Missing Participants in Individual Account Plans

Science.gov (United States)

2013-06-21

... information from the public to assist it in making decisions about implementing a new program to deal with... allocated to such participant's account.'' Before making decisions about implementing a missing participants... PENSION BENEFIT GUARANTY CORPORATION Missing Participants in Individual Account Plans AGENCY...

How to identify the person holding the highest position in the criminal hierarchy?

Directory of Open Access Journals (Sweden)

Grigoryev D.A.

2014-12-01

Full Text Available The current version of the resolution of the RF Supreme Court Plenum of June 10, 2010 N 12, clarifying the provisions of the law on liability for crimes committed by a person holding the highest position in the criminal hierarchy (Part 4 of Article 210 of the RF Criminal Code, is criticized. Evaluative character of the considered aggravating circumstance doesn’t allow to develop clear criteria for identifying the leaders of the criminal environment. Basing on the theory provisions and court practice, the authors suggest three criteria. The first criterion is specific actions including: establishment and leadership of the criminal association (criminal organization; coordinating criminal acts; creating sustainable links between different organized groups acting independently; dividing spheres of criminal influence, sharing criminal income and other criminal activities, indicating person’s authority and leadership in a particular area or in a particular sphere of activity. The second is having money, valuables and other property obtained by criminal means, without the person’s direct participation in their acquisition; transferring money, valuables and other property to that person systematically, without legal grounds (unjust enrichment; spending that money, valuables and other property to carry out criminal activities (crimes themselves and conditions of their commission. The third is international criminal ties manifested in committing one of the crimes under Part 1 of Article 210 of the RF Criminal Code, if this crime is transnational in nature; ties with extremist and (or terrorist organizations, as well as corruption ties. The court may use one or several of these criteria.

Factors related to missing and rescheduling pharmaceutical care appointments by aged outpatients in a Brazilian public health setting

Directory of Open Access Journals (Sweden)

Thiago Vinícius Nadaleto Didone

2015-12-01

Full Text Available Objectives: To uncover reasons why patients missed pharmaceutical care (PC appointments, identify predictive factors to miss at least one appointment and to reschedule after a miss, and compare the rescheduling behavior of patients receiving different types of PC. Methods: All elderly patients who had at least one scheduled appointment in the PC service of a health setting of São Paulo city, Brazil, from January to December/2011 were included. Chi-square analysis compared categorical data between groups; multivariate logistic regression models predicted attendance and rescheduling behavior. Results: We identified 421 patients, being 221 (52.5% non-attenders. Forgetting the appointment was the most common patient-related reason (56.3%. Illiteracy was a risk factor to be a non-attender [OR(95%CI=2.27(1.17:4.40, p=0.015]. Patients having previous knowledge of the pharmacist presented more chance to rescheduled an appointment after the first miss compared to those who had not [OR(95%CI=3.57(1.90:6.71, p<0.001]. Further, non-attenders who had knowledge of the pharmacist and received Medication Review with Follow-up rescheduled more than the ones receiving other types of PC (p=0.035. Conclusion: Illiteracy predicted non-attendance in PC to aged outpatients and forgetfulness was the main reason for that. The previous acquaintance of the pharmacist and the provision of pharmaceotherapeutic follow-up explained the rescheduling behavior, which indicates the establishment of a patient-centered patient-pharmacist relationship plays a pivotal role in the continuity of the PC.

Autoregressive-model-based missing value estimation for DNA microarray time series data.

Science.gov (United States)

Choong, Miew Keen; Charbit, Maurice; Yan, Hong

2009-01-01

Missing value estimation is important in DNA microarray data analysis. A number of algorithms have been developed to solve this problem, but they have several limitations. Most existing algorithms are not able to deal with the situation where a particular time point (column) of the data is missing entirely. In this paper, we present an autoregressive-model-based missing value estimation method (ARLSimpute) that takes into account the dynamic property of microarray temporal data and the local similarity structures in the data. ARLSimpute is especially effective for the situation where a particular time point contains many missing values or where the entire time point is missing. Experiment results suggest that our proposed algorithm is an accurate missing value estimator in comparison with other imputation methods on simulated as well as real microarray time series datasets.

Outlier Removal in Model-Based Missing Value Imputation for Medical Datasets

Directory of Open Access Journals (Sweden)

Min-Wei Huang

2018-01-01

Full Text Available Many real-world medical datasets contain some proportion of missing (attribute values. In general, missing value imputation can be performed to solve this problem, which is to provide estimations for the missing values by a reasoning process based on the (complete observed data. However, if the observed data contain some noisy information or outliers, the estimations of the missing values may not be reliable or may even be quite different from the real values. The aim of this paper is to examine whether a combination of instance selection from the observed data and missing value imputation offers better performance than performing missing value imputation alone. In particular, three instance selection algorithms, DROP3, GA, and IB3, and three imputation algorithms, KNNI, MLP, and SVM, are used in order to find out the best combination. The experimental results show that that performing instance selection can have a positive impact on missing value imputation over the numerical data type of medical datasets, and specific combinations of instance selection and imputation methods can improve the imputation results over the mixed data type of medical datasets. However, instance selection does not have a definitely positive impact on the imputation result for categorical medical datasets.

Cyclists’ Anger As Determinant of Near Misses Involving Different Road Users

Directory of Open Access Journals (Sweden)

Víctor Marín Puchades

2017-12-01

Full Text Available Road anger constitutes one of the determinant factors related to safety outcomes (e.g., accidents, near misses. Although cyclists are considered vulnerable road users due to their relatively high rate of fatalities in traffic, previous research has solely focused on car drivers, and no study has yet investigated the effect of anger on cyclists’ safety outcomes. The present research aims to investigate, for the first time, the effects of cycling anger toward different types of road users on near misses involving such road users and near misses in general. Using a daily diary web-based questionnaire, we collected data about daily trips, bicycle use, near misses experienced, cyclist’s anger and demographic information from 254 Spanish cyclists. Poisson regression was used to assess the association of cycling anger with near misses, which is a count variable. No relationship was found between general cycling anger and near misses occurrence. Anger toward specific road users had different effects on the probability of near misses with different road users. Anger toward the interaction with car drivers increased the probability of near misses involving cyclists and pedestrians. Anger toward interaction with pedestrians was associated with higher probability of near misses with pedestrians. Anger toward cyclists exerted no effect on the probability of near misses with any road user (i.e., car drivers, cyclists or pedestrians, whereas anger toward the interactions with the police had a diminishing effect on the occurrence of near misses’ involving all types of road users. The present study demonstrated that the effect of road anger on safety outcomes among cyclists is different from that of motorists. Moreover, the target of anger played an important role on safety both for the cyclist and the specific road users. Possible explanations for these differences are based on the difference in status and power with motorists, as well as on the potential

Patient understanding of oral contraceptive pill instructions related to missed pills: a systematic review.

Science.gov (United States)

Zapata, Lauren B; Steenland, Maria W; Brahmi, Dalia; Marchbanks, Polly A; Curtis, Kathryn M

2013-05-01

Instructions on what to do after pills are missed are critical to reducing unintended pregnancies resulting from patient non-adherence to oral contraceptive (OC) regimens. Missed pill instructions have previously been criticized for being too complex, lacking a definition of what is meant by "missed pills," and for being confusing to women who may not know the estrogen content of their formulation. To help inform the development of missed pill guidance to be included in the forthcoming US Selected Practice Recommendations, the objective of this systematic review was to evaluate the evidence on patient understanding of missed pill instructions. We searched the PubMed database for peer-reviewed articles that examined patient understanding of OC pill instructions that were published in any language from inception of the database through March 2012. We included studies that examined women's knowledge and understanding of missed pill instructions after exposure to some written material (e.g., patient package insert, brochure), as well as studies that compared different types of missed pill instructions on women's comprehension. We used standard abstract forms and grading systems to summarize and assess the quality of the evidence. From 1620 articles, nine studies met our inclusion criteria. Evidence from one randomized controlled trial (RCT) and two descriptive studies found that more women knew what to do after missing 1 pill than after missing 2 or 3 pills (Level I, good, to Level II-3, poor), and two descriptive studies found that more women knew what to do after missing 2 pills than after missing 3 pills (Level II-3, fair). Data from two descriptive studies documented the difficulty women have understanding missed pill instructions contained in patient package inserts (Level II-3, poor), and evidence from two RCTs found that providing written brochures with information on missed pill instructions in addition to contraceptive counseling significantly improved

Uncovering missing links with cold ends

Science.gov (United States)

Zhu, Yu-Xiao; Lü, Linyuan; Zhang, Qian-Ming; Zhou, Tao

2012-11-01

To evaluate the performance of prediction of missing links, the known data are randomly divided into two parts, the training set and the probe set. We argue that this straightforward and standard method may lead to terrible bias, since in real biological and information networks, missing links are more likely to be links connecting low-degree nodes. We therefore study how to uncover missing links with low-degree nodes, namely links in the probe set are of lower degree products than a random sampling. Experimental analysis on ten local similarity indices and four disparate real networks reveals a surprising result that the Leicht-Holme-Newman index [E.A. Leicht, P. Holme, M.E.J. Newman, Vertex similarity in networks, Phys. Rev. E 73 (2006) 026120] performs the best, although it was known to be one of the worst indices if the probe set is a random sampling of all links. We further propose an parameter-dependent index, which considerably improves the prediction accuracy. Finally, we show the relevance of the proposed index to three real sampling methods: acquaintance sampling, random-walk sampling and path-based sampling.

Identifying Latent Trajectories of Personality Disorder Symptom Change: Growth Mixture Modeling in the Longitudinal Study of Personality Disorders

Science.gov (United States)

Hallquist, Michael N.; Lenzenweger, Mark F.

2013-01-01

Although previous reports have documented mean-level declines in personality disorder (PD) symptoms over time, little is known about whether personality pathology sometimes emerges among nonsymptomatic adults, or whether rates of change differ qualitatively among symptomatic persons. Our study sought to characterize heterogeneity in the longitudinal course of PD symptoms with the goal of testing for and describing latent trajectories. Participants were 250 young adults selected into two groups using a PD screening measure: those who met diagnostic criteria for a DSM-III-R PD (PPD, n = 129), and those with few PD symptoms (NoPD, n = 121). PD symptoms were assessed three times over a four-year study using semistructured interviews. Total PD symptom counts and symptoms of each DSM-III-R PD were analyzed using growth mixture modeling. In the NoPD group, latent trajectories were characterized by stable, minor symptoms; the rapid or gradual remission of subclinical symptoms; or the emergence of symptoms of Avoidant, Obsessive-Compulsive, or Paranoid PD. In the PPD group, three latent trajectories were evident: rapid symptom remission, slow symptom decline, or a relative absence of symptoms. Rapid remission of PD symptoms was associated with fewer comorbid disorders, lower negative emotionality, and greater positive emotionality and constraint, whereas emergent personality dysfunction was associated with comorbid PD symptoms and lower positive emotionality. In most cases, symptom change for one PD was associated with concomitant changes in other PDs, depressive symptoms, and anxiety. These results indicate that the longitudinal course of PD symptoms is heterogeneous, with distinct trajectories evident for both symptomatic and nonsymptomatic individuals. The prognosis of PD symptoms may be informed by an assessment of personality and comorbid psychopathology. PMID:23231459

Mani, Miss Anna Modayil

Indian Academy of Sciences (India)

Home; Fellowship. Fellow Profile. Elected: 1960 Section: Earth & Planetary Sciences. Mani, Miss Anna Modayil A.I.I.Sc., FNA 1971-79; Secretary 1977-79. Date of birth: 23 August 1918. Date of death: 16 August 2001. Specialization: Atmospheric Physics and Instrumentation Last known address: c/o Mr K.T. Chandy, 14, ...

ErythropoieSIS stimulating agent (ESA use is increased following missed dialysis sessions

Directory of Open Access Journals (Sweden)

T. Christopher Bond

2012-06-01

Missed session episodes result in significant increases in ESA utilization in the post-miss period, and also in total monthly ESA use. Such increases should be considered in any assessment of impact of missed sessions: both clinical and economic.

KONVERGENSI ESTIMATOR DALAM MODEL MIXTURE BERBASIS MISSING DATA

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N Dwidayati

2014-06-01

Full Text Available Abstrak __________________________________________________________________________________________ Model mixture dapat mengestimasi proporsi pasien yang sembuh (cured dan fungsi survival pasien tak sembuh (uncured. Pada kajian ini, model mixture dikembangkan untuk  analisis cure rate berbasis missing data. Ada beberapa metode yang dapat digunakan untuk analisis missing data. Salah satu metode yang dapat digunakan adalah Algoritma EM, Metode ini didasarkan pada 2 (dua langkah, yaitu: (1 Expectation Step dan (2 Maximization Step. Algoritma EM merupakan pendekatan iterasi untuk mempelajari model dari data dengan nilai hilang melalui 4 (empat langkah, yaitu(1 pilih himpunan inisial dari parameter untuk sebuah model, (2 tentukan nilai ekspektasi untuk data hilang, (3 buat induksi parameter model baru dari gabungan nilai ekspekstasi dan data asli, dan (4 jika parameter tidak converged, ulangi langkah 2 menggunakan model baru. Berdasar kajian yang dilakukan dapat ditunjukkan bahwa pada algoritma EM, log-likelihood untuk missing data mengalami kenaikan setelah dilakukan setiap iterasi dari algoritmanya. Dengan demikian berdasar algoritma EM, barisan likelihood konvergen jika likelihood terbatas ke bawah.   Abstract __________________________________________________________________________________________ Model mixture can estimate proportion of recovering patient  and function of patient survival do not recover. At this study, model mixture developed to analyse cure rate bases on missing data. There are some method which applicable to analyse missing data. One of method which can be applied is Algoritma EM, This method based on 2 ( two step, that is: ( 1 Expectation Step and ( 2 Maximization Step. EM Algorithm is approach of iteration to study model from data with value loses through 4 ( four step, yaitu(1 select;chooses initial gathering from parameter for a model, ( 2 determines expectation value for data to lose, ( 3 induce newfangled parameter

Posttraumatic stress disorder in women with war missing family members.

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Baraković, Devla; Avdibegović, Esmina; Sinanović, Osman

2014-12-01

Research in crisis areas indicate that survivors' responses to the forced disappearance of family members are similar to reactions to other traumatic events. The aim of this study was to determine the presence of symptoms of posttraumatic stress disorder (PTSD) in women with war missing family members in Bosnia and Herzegovina 18 years after the war in this region (1992-1995). The study included 160 women aged 47.1±14.0 from three regions of Bosnia and Herzegovina. It was carried out in the period from April 2010 to May 2011. Of the 160 participants, 120 women had a war missing family member and 40 women had no war missing family members. The Harvard Trauma Questionnaire (HTQ), the Beck Depression Inventory (BDI) and the Hamilton Anxiety Rating Scale (HAMA) were used for data collection. Basic socio-demographic data and data concerning the missing family members were also collected. Women with war missing family members experienced significantly more traumatic war experiences (18.43±5.27 vs 6.57±4.34, pfamily members. Women with war missing family members showed significantly more severe PTSD symptoms. Based on the results of this study, it was determined that the forced disappearance of a family member is an ambiguous situation that can be characterized as a traumatic experience.

Why Patients Miss Follow-Up Appointments: A Prospective Control ...

African Journals Online (AJOL)

Reasons include: transport (19 responses), ill-health (6) and financial constraints (5). State transport was unavailable to almost twothirds of the responders who cited transport as a problem. Conclusions: The 17% missed appointment rate is largely due to transport constraints. The commonest time for patients to miss ...

40 CFR 98.405 - Procedures for estimating missing data.

Science.gov (United States)

2010-07-01

... meter malfunctions), a substitute data value for the missing quantity measurement must be used in the... period for any reason, the reporter shall use either its delivering pipeline measurements or the default... § 98.405 Procedures for estimating missing data. (a) Whenever a quality-assured value of the quantity...

Colonoscopy can miss diverticula of the left colon identified by barium enema.

Science.gov (United States)

Niikura, Ryota; Nagata, Naoyoshi; Shimbo, Takuro; Akiyama, Junichi; Uemura, Naomi

2013-04-21

To identify the diagnostic value of colonoscopy for diverticulosis as determined by barium enema. A total of 65 patients with hematochezia who underwent colonoscopy and barium enema were analyzed, and the diagnostic value of colonoscopy for diverticula was assessed. The receiver operating characteristic area under the curve was compared in relation to age (barium enema. Colonoscopy had a sensitivity of 91% and specificity of 90%. No significant differences were found in the receiver operating characteristic area under the curve (ROC-AUC) for age group or sex. The ROC-AUC of the left colon was significantly lower than that of the right colon (0.81 vs 0.96, P = 0.02). Colonoscopy identified 486 colonic diverticula, while barium enema identified 1186. The detection ratio for the entire colon was therefore 0.41 (486/1186). The detection ratio in the left colon (0.32, 189/588) was significantly lower than that of the right colon (0.50, 297/598) (P barium enema, only half the number of colonic diverticula can be detected by colonoscopy in the entire colon and even less in the left colon.

Missing data and the accuracy of magnetic-observatory hour means

Directory of Open Access Journals (Sweden)

J. J. Love

2009-09-01

Full Text Available Analysis is made of the accuracy of magnetic-observatory hourly means constructed from definitive minute data having missing values (gaps. Bootstrap sampling from different data-gap distributions is used to estimate average errors on hourly means as a function of the number of missing data. Absolute and relative error results are calculated for horizontal-intensity, declination, and vertical-component data collected at high, medium, and low magnetic latitudes. For 90% complete coverage (10% missing data, average (RMS absolute errors on hourly means are generally less than errors permitted by Intermagnet for minute data. As a rule of thumb, the average relative error for hourly means with 10% missing minute data is approximately equal to 10% of the hourly standard deviation of the source minute data.

Missing Value Imputation Based on Gaussian Mixture Model for the Internet of Things

Directory of Open Access Journals (Sweden)

Xiaobo Yan

2015-01-01

Full Text Available This paper addresses missing value imputation for the Internet of Things (IoT. Nowadays, the IoT has been used widely and commonly by a variety of domains, such as transportation and logistics domain and healthcare domain. However, missing values are very common in the IoT for a variety of reasons, which results in the fact that the experimental data are incomplete. As a result of this, some work, which is related to the data of the IoT, can’t be carried out normally. And it leads to the reduction in the accuracy and reliability of the data analysis results. This paper, for the characteristics of the data itself and the features of missing data in IoT, divides the missing data into three types and defines three corresponding missing value imputation problems. Then, we propose three new models to solve the corresponding problems, and they are model of missing value imputation based on context and linear mean (MCL, model of missing value imputation based on binary search (MBS, and model of missing value imputation based on Gaussian mixture model (MGI. Experimental results showed that the three models can improve the accuracy, reliability, and stability of missing value imputation greatly and effectively.

Missing level corrections using neutron spacings

International Nuclear Information System (INIS)

Mitchell, G.E.; Shriner, J.F. Jr.

2009-11-01

Nuclear level densities are very important for a wide variety of pure and applied neutron physics. Most of the relevant information is obtained from neutron resonance data. The key correction to the raw experimental data is for missing levels. All of the standard correction methods assume that the neutron resonances obey the predictions of the Gaussian Orthogonal Ensemble version of Random Matrix Theory (RMT) and utilize comparison with the Porter-Thomas distribution of reduced widths in order to determine the fraction of missing levels. Here we adopt an alternate approach, comparing the neutron data with the predictions of RMT for eigenvalue statistics. Since in RMT the widths and eigenvalues are independent, analysis of the eigenvalues provides an independent analysis of the same data set. We summarize recent work in this area using the nearest neighbour spacing distribution, and we also develop tests that utilize several other eigenvalue statistics to provide additional estimates of the missing fraction of levels. These additional statistics include the key test for long range order - the Dyson-Mehta Δ 3 statistic - as well as the thermodynamic energy (that arises from Dyson's Circular Orthogonal Ensemble), the linear correlation coefficient of adjacent spacings (a measure of short range anti-correlation), and a statistic related to the Q statistic defined by Dyson and Mehta in the early 1960s. Developed FORTRAN code is available at http://www-nds.iaea.org/missing-levels/. These tests are applied to the s-wave neutron resonances in n + 238 U and n + 232 Th. The results for 238 U are consistent with each other and raise some issues concerning data purity. For the 232 Th data, all of the tests are in excellent agreement. (author)

40 CFR 75.37 - Missing data procedures for moisture.

Science.gov (United States)

2010-07-01

... 40 Protection of Environment 16 2010-07-01 2010-07-01 false Missing data procedures for moisture... data procedures for moisture. (a) The owner or operator of a unit with a continuous moisture monitoring system shall substitute for missing moisture data using the procedures of this section. (b) Where no...

Multiple imputation by chained equations for systematically and sporadically missing multilevel data.

Science.gov (United States)

Resche-Rigon, Matthieu; White, Ian R

2018-06-01

In multilevel settings such as individual participant data meta-analysis, a variable is 'systematically missing' if it is wholly missing in some clusters and 'sporadically missing' if it is partly missing in some clusters. Previously proposed methods to impute incomplete multilevel data handle either systematically or sporadically missing data, but frequently both patterns are observed. We describe a new multiple imputation by chained equations (MICE) algorithm for multilevel data with arbitrary patterns of systematically and sporadically missing variables. The algorithm is described for multilevel normal data but can easily be extended for other variable types. We first propose two methods for imputing a single incomplete variable: an extension of an existing method and a new two-stage method which conveniently allows for heteroscedastic data. We then discuss the difficulties of imputing missing values in several variables in multilevel data using MICE, and show that even the simplest joint multilevel model implies conditional models which involve cluster means and heteroscedasticity. However, a simulation study finds that the proposed methods can be successfully combined in a multilevel MICE procedure, even when cluster means are not included in the imputation models.

Individual human scent as a forensic identifier using mantrailing.

Science.gov (United States)

Woidtke, Leif; Dreßler, Jan; Babian, Carsten

2018-01-01

Specially trained dogs have long been used by law enforcement agencies to help in criminal investigations and in searching for missing persons. Still, it is unclear which components of human scent released into the environment contribute to successful searches of individuals. In this study, saliva and axillary sweat samples were taken from a total of 190 people. Additionally, DNA was extracted from whole blood of seven different people and used as an odour sample as well. Overall 675 tests (trails) were performed during a period of 18 months. The ability to track individuals with the odour samples mentioned above was examined with seven dogs, four of which were specially-trained dogs (mantrailer) from the Saxony Police. Results indicated that specially-trained police dogs can track a person with an average success rate of 82% and correctly identify the absence of an odour track with an average success rate of 97% under various conditions. Private rescue dogs were less successful with an average success rate of 65% and 75% respectively. These data suggest that the potential error rate of a well-trained handler team is low and can be a useful tool for law enforcement personnel. Saliva, as a reference odour source, was found to be particularly suitable for the search. The results of the study suggest that the components contained in axillary sweat, saliva and DNA extracted from whole blood are sufficient, serving as a key stimulus for individualized searches. Copyright © 2017 Elsevier B.V. All rights reserved.

A regressive methodology for estimating missing data in rainfall daily time series

Science.gov (United States)

Barca, E.; Passarella, G.

2009-04-01

The "presence" of gaps in environmental data time series represents a very common, but extremely critical problem, since it can produce biased results (Rubin, 1976). Missing data plagues almost all surveys. The problem is how to deal with missing data once it has been deemed impossible to recover the actual missing values. Apart from the amount of missing data, another issue which plays an important role in the choice of any recovery approach is the evaluation of "missingness" mechanisms. When data missing is conditioned by some other variable observed in the data set (Schafer, 1997) the mechanism is called MAR (Missing at Random). Otherwise, when the missingness mechanism depends on the actual value of the missing data, it is called NCAR (Not Missing at Random). This last is the most difficult condition to model. In the last decade interest arose in the estimation of missing data by using regression (single imputation). More recently multiple imputation has become also available, which returns a distribution of estimated values (Scheffer, 2002). In this paper an automatic methodology for estimating missing data is presented. In practice, given a gauging station affected by missing data (target station), the methodology checks the randomness of the missing data and classifies the "similarity" between the target station and the other gauging stations spread over the study area. Among different methods useful for defining the similarity degree, whose effectiveness strongly depends on the data distribution, the Spearman correlation coefficient was chosen. Once defined the similarity matrix, a suitable, nonparametric, univariate, and regressive method was applied in order to estimate missing data in the target station: the Theil method (Theil, 1950). Even though the methodology revealed to be rather reliable an improvement of the missing data estimation can be achieved by a generalization. A first possible improvement consists in extending the univariate technique to

Identifying individuals with antisocial personality disorder using resting-state FMRI.

Directory of Open Access Journals (Sweden)

Yan Tang

Full Text Available Antisocial personality disorder (ASPD is closely connected to criminal behavior. A better understanding of functional connectivity in the brains of ASPD patients will help to explain abnormal behavioral syndromes and to perform objective diagnoses of ASPD. In this study we designed an exploratory data-driven classifier based on machine learning to investigate changes in functional connectivity in the brains of patients with ASPD using resting state functional magnetic resonance imaging (fMRI data in 32 subjects with ASPD and 35 controls. The results showed that the classifier achieved satisfactory performance (86.57% accuracy, 77.14% sensitivity and 96.88% specificity and could extract stabile information regarding functional connectivity that could be used to discriminate ASPD individuals from normal controls. More importantly, we found that the greatest change in the ASPD subjects was uncoupling between the default mode network and the attention network. Moreover, the precuneus, superior parietal gyrus and cerebellum exhibited high discriminative power in classification. A voxel-based morphometry analysis was performed and showed that the gray matter volumes in the parietal lobule and white matter volumes in the precuneus were abnormal in ASPD compared to controls. To our knowledge, this study was the first to use resting-state fMRI to identify abnormal functional connectivity in ASPD patients. These results not only demonstrated good performance of the proposed classifier, which can be used to improve the diagnosis of ASPD, but also elucidate the pathological mechanism of ASPD from a resting-state functional integration viewpoint.

Estimation of Missing Observations in Two-Level Split-Plot Designs

DEFF Research Database (Denmark)

Almimi, Ashraf A.; Kulahci, Murat; Montgomery, Douglas C.

2008-01-01

Inserting estimates for the missing observations from split-plot designs restores their balanced or orthogonal structure and alleviates the difficulties in the statistical analysis. In this article, we extend a method due to Draper and Stoneman to estimate the missing observations from unreplicated...... two-level factorial and fractional factorial split-plot (FSP and FFSP) designs. The missing observations, which can either be from the same whole plot, from different whole plots, or comprise entire whole plots, are estimated by equating to zero a number of specific contrast columns equal...... to the number of the missing observations. These estimates are inserted into the design table and the estimates for the remaining effects (or alias chains of effects as the case with FFSP designs) are plotted on two half-normal plots: one for the whole-plot effects and the other for the subplot effects...

Personal Digital Branding as a Professional Asset in the Digital Age.

Science.gov (United States)

Kleppinger, Courtney A; Cain, Jeff

2015-08-25

In recent years, society's rapid adoption of social media has made the boundary between professional and private life nearly indistinguishable. The literature provides guidance on how to demonstrate professionalism via social media platforms. Social media policies within health professions education tend to be legalistic in nature, serving primarily to highlight behaviors students should avoid. One missing element in social media literature is the concept of online invisibility. In this paper, we define personal digital branding, discuss the professional implications of choosing to abstain from social media use, and urge educators to recognize that the personal digital branding may be an emerging asset for young professionals in the twenty-first century.

The effect of maternal near miss on adverse infant nutritional outcomes

Directory of Open Access Journals (Sweden)

Dulce M. Zanardi

Full Text Available OBJECTIVES: To evaluate the association between self-reported maternal near miss and adverse nutritional status in children under one year of age. METHODS: This study is a secondary analysis of a study in which women who took their children under one year of age to the national vaccine campaign were interviewed. The self-reported condition of maternal near miss used the criteria of Intensive Care Unit admission; eclampsia; blood transfusion and hysterectomy; and their potential associations with any type of nutritional disorder in children, including deficits in weight-for-age, deficits in height-for-age, obesity and breastfeeding. The rates of near miss for the country, regions and states were initially estimated. The relative risks of infant adverse nutritional status according to near miss and maternal/childbirth characteristics were estimated with their 95% CIs using bivariate and multiple analyses. RESULTS: The overall prevalence of near miss was 2.9% and was slightly higher for the Legal Amazon than for other regions. No significant associations were found with nutritional disorders in children. Only a 12% decrease in overall maternal breastfeeding was associated with near miss. Living in the countryside and child over 6 months of age increased the risk of altered nutritional status by approximately 15%, while female child gender decreased this risk by 30%. Maternal near miss was not associated with an increased risk of any alteration in infant nutritional status. CONCLUSIONS: There was no association between maternal near miss and altered nutritional status in children up to one year of age. The risk of infant adverse nutritional status was greater in women living in the countryside, for children over 6 months of age and for male gender.

Violence and Personality in Forensic Patients: Is There a Forensic Patient-Specific Personality Profile?

Science.gov (United States)

Stupperich, Alexandra; Ihm, Helga; Strack, Micha

2009-01-01

Concerning the discussion about the connection of personality traits, personality disorders, and mental illness, this study focused on the personality profiles of male forensic patients, prison inmates, and young men without criminal reports. The main topic centered on group-specific personality profiles and identifying personality facets…

"Near-miss" obstetric events and maternal deaths in Sagamu, Nigeria: a retrospective study

Directory of Open Access Journals (Sweden)

Daniel Olusoji J

2005-11-01

Full Text Available Abstract Aim To determine the frequency of near-miss (severe acute maternal morbidity and the nature of near-miss events, and comparatively analysed near-miss morbidities and maternal deaths among pregnant women managed over a 3-year period in a Nigerian tertiary centre. Methods Retrospective facility-based review of cases of near-miss and maternal death which occurred between 1 January 2002 and 31 December 2004. Near-miss case definition was based on validated disease-specific criteria, comprising of five diagnostic categories: haemorrhage, hypertensive disorders in pregnancy, dystocia, infection and anaemia. The near-miss morbidities were compared with maternal deaths with respect to demographic features and disease profiles. Mortality indices were determined for various disease processes to appreciate the standard of care provided for life-threatening obstetric conditions. The maternal death to near-miss ratios for the three years were compared to assess the trend in the quality of obstetric care. Results There were 1501 deliveries, 211 near-miss cases and 44 maternal deaths. The total near-miss events were 242 with a decreasing trend from 2002 to 2004. Demographic features of cases of near-miss and maternal death were comparable. Besides infectious morbidity, the categories of complications responsible for near-misses and maternal deaths followed the same order of decreasing frequency. Hypertensive disorders in pregnancy and haemorrhage were responsible for 61.1% of near-miss cases and 50.0% of maternal deaths. More women died after developing severe morbidity due to uterine rupture and infection, with mortality indices of 37.5% and 28.6%, respectively. Early pregnancy complications and antepartum haemorrhage had the lowest mortality indices. Majority of the cases of near-miss (82.5% and maternal death (88.6% were unbooked for antenatal care and delivery in this hospital. Maternal mortality ratio for the period was 2931.4 per 100

Missed losses loom larger than missed gains: Electrodermal reactivity to decision choices and outcomes in a gambling task.

Science.gov (United States)

Wu, Yin; Van Dijk, Eric; Aitken, Mike; Clark, Luke

2016-04-01

Loss aversion is a defining characteristic of prospect theory, whereby responses are stronger to losses than to equivalently sized gains (Kahneman & Tversky Econometrica, 47, 263-291, 1979). By monitoring electrodermal activity (EDA) during a gambling task, in this study we examined physiological activity during risky decisions, as well as to both obtained (e.g., gains and losses) and counterfactual (e.g., narrowly missed gains and losses) outcomes. During the bet selection phase, EDA increased linearly with bet size, highlighting the role of somatic signals in decision-making under uncertainty in a task without any learning requirement. Outcome-related EDA scaled with the magnitudes of monetary wins and losses, and losses had a stronger impact on EDA than did equivalently sized wins. Narrowly missed wins (i.e., near-wins) and narrowly missed losses (i.e., near-losses) also evoked EDA responses, and the change of EDA as a function of the size of the missed outcome was modestly greater for near-losses than for near-wins, suggesting that near-losses have more impact on subjective value than do near-wins. Across individuals, the slope for choice-related EDA (as a function of bet size) correlated with the slope for outcome-related EDA as a function of both the obtained and counterfactual outcome magnitudes, and these correlations were stronger for loss and near-loss conditions than for win and near-win conditions. Taken together, these asymmetrical EDA patterns to objective wins and losses, as well as to near-wins and near-losses, provide a psychophysiological instantiation of the value function curve in prospect theory, which is steeper in the negative than in the positive domain.

Decreased corticospinal excitability after the illusion of missing part of the arm

Directory of Open Access Journals (Sweden)

Konstantina eKilteni

2016-04-01

Full Text Available Previous studies on body ownership illusions have shown that under certain multimodal conditions, healthy people can experience artificial body-parts as if they were part of their own body, with direct physiological consequences for the real limb that gets ‘substituted’. In this study we wanted to assess (a whether healthy people can experience ‘missing’ a body-part through illusory ownership of an amputated virtual body, and (b whether this would cause corticospinal excitability changes in muscles associated with the ‘missing’ body-part. Forty right-handed participants saw a virtual body from a first person perspective but for half of them the virtual body was missing a part of its right arm. Single pulse transcranial magnetic stimulation was applied before and after the experiment to left and right motor cortices. Motor evoked potentials (MEPs were recorded from the first dorsal interosseous (FDI and the extensor digitorum communis (EDC of each hand. We found that the stronger the illusion of amputation and arm ownership, the more the reduction of MEP amplitudes of the EDC muscle for the contralateral sensorimotor cortex. In contrast, no association was found for the EDC amplitudes in the ipsilateral cortex and for the FDI amplitudes in both contralateral and ipsilateral cortices. Our study provides evidence that a short-term illusory perception of missing a body-part can trigger inhibitory effects on corticospinal pathways and importantly in the absence of any limb deafferentation or disuse.

[Missed lessons, missed opportunities: a role for public health services in medical absenteeism in young people].

Science.gov (United States)

Vanneste, Y T M; van de Goor, L A M; Feron, F J M

2016-01-01

Young people who often miss school for health reasons are not only missing education, but also the daily routine of school, and social intercourse with their classmates. Medical absenteeism among students merits greater attention. For a number of years, in various regions in the Netherlands, students with extensive medical absenteeism have been invited to see a youth healthcare specialist. The MASS intervention (Medical Advice of Students reported Sick; in Dutch: Medische Advisering van de Ziekgemelde Leerling, abbreviated as M@ZL) has been developed by the West Brabant Regional Public Health Service together with secondary schools to address school absenteeism due to reporting sick. In this paper we discuss the MASS intervention and explain why attention should be paid by public health services to the problem of school absenteeism, especially absenteeism on health grounds.

What Is Engagement? Proactivity as the Missing Link in the HEXACO Model of Personality

NARCIS (Netherlands)

de Vries, Reinout Everhard; Wawoe, Kilian W.; Holtrop, Djurre

2016-01-01

We tested the hypothesis that proactivity represents the engagement vector in the HEXACO model of personality. Questionnaire data were obtained in five studies, three of which consisted (mostly) of students: Study 1 (N = 188, Mage = 20.0, 89.4% women), Study 3 (N = 315, Mage = 20.4, 80.6% women),

Missed Immunization Opportunities Among Children Under 5 Years Of Age Dwelling In Karachi City.

Science.gov (United States)

Khaliq, Asif; Sayed, Sayeeda Amber; Hussaini, Syed Abdullah; Azam, Kiran; Qamar, Mehak

2017-01-01

Immunization is the safest and effective measure for preventing and eradicating various communicable diseases. A glaring immunization gap exists between developing and industrialized countries towards immunization, because the developing countries including Pakistan are still striving to provide basic immunization to their children. The purpose of this study was to access the prevalence and factors of missing immunization among under 5-year children of Karachi.. A cross sectional study was conducted from June 2015 to October 2015 among different outpatient clinics of Karachi. Parents who had child less than 5 year of age were approached by non-probability purposive sampling. Data was analysed by using Statistical Package of Social Sciences. There were around 59.09% (n=156) and 64.43% (n=165) parents who have correctly responded regarding the number of essential immunization visit during the first and second year of their child life respectively. About 28.12% (n=108) parents responded that they do not know about the name and number of missed doses of vaccines. 31.78% (n=122) parents responded that their children have missed either one or more than one doses of routine immunization vaccines. Of which 34.42% (n=42) children have missed more than one vaccine. Lack of knowledge regarding immunization schedule 28.68% (n=34), concern about vaccine side effects 21.31%, (n=26), child sickness 17.21% (n=21), and lack of trust about government 10.65%, (n=13) were the major barriers identified by parents for missed immunization opportunities. Parents have inadequate knowledge regarding routine immunization visits, immunization schedule and vaccine doses. The practices of parents for routine childhood immunization are also poor. Parents refuse to immunize their child because of lack of immunization visit knowledge and also because of their doubts regarding vaccine potency and side effects. A proper system of immunization promotion, advocacy and reminder systems with proper

Living long and ageing well: is epigenomics the missing link between nature and nurture?

Science.gov (United States)

Rea, Irene Maeve; Dellet, Margaret; Mills, Ken I

2016-02-01

Human longevity is a complex trait and increasingly we understand that both genes and lifestyle interact in the longevity phenotype. Non-genetic factors, including diet, physical activity, health habits, and psychosocial factors contribute approximately 50% of the variability in human lifespan with another 25% explained by genetic differences. Family clusters of nonagenarian and centenarian siblings, who show both exceptional age-span and health-span, are likely to have inherited facilitatory gene groups, but also have nine decades of life experiences and behaviours which have interacted with their genetic profiles. Identification of their shared genes is just one small step in the link from genes to their physical and psychological profiles. Behavioural genomics is beginning to demonstrate links to biological mechanisms through regulation of gene expression, which directs the proteome and influences the personal phenotype. Epigenetics has been considered the missing link between nature and nurture. Although there is much that remains to be discovered, this article will discuss some of genetic and environmental factors which appear important in good quality longevity and link known epigenetic mechanisms to themes identified by nonagenarians themselves related to their longevity. Here we suggest that exceptional 90-year old siblings have adopted a range of behaviours and life-styles which have contributed to their ageing-well-phenotype and which link with important public health messages.

Estimating range of influence in case of missing spatial data

DEFF Research Database (Denmark)

Bihrmann, Kristine; Ersbøll, Annette Kjær

2015-01-01

BACKGROUND: The range of influence refers to the average distance between locations at which the observed outcome is no longer correlated. In many studies, missing data occur and a popular tool for handling missing data is multiple imputation. The objective of this study was to investigate how...... the estimated range of influence is affected when 1) the outcome is only observed at some of a given set of locations, and 2) multiple imputation is used to impute the outcome at the non-observed locations. METHODS: The study was based on the simulation of missing outcomes in a complete data set. The range...... of influence was estimated from a logistic regression model with a spatially structured random effect, modelled by a Gaussian field. Results were evaluated by comparing estimates obtained from complete, missing, and imputed data. RESULTS: In most simulation scenarios, the range estimates were consistent...

Older persons' worries expressed during home care visits: Exploring the content of cues and concerns identified by the Verona coding definitions of emotional sequences.

Science.gov (United States)

Hafskjold, Linda; Eide, Tom; Holmström, Inger K; Sundling, Vibeke; van Dulmen, Sandra; Eide, Hilde

2016-12-01

Little is known about how older persons in home care express their concerns. Emotional cues and concerns can be identified by the Verona coding definitions of emotional sequences (VR-CoDES), but the method gives no insight into what causes the distress and the emotions involved. The aims of this study are to explore (1) older persons' worries and (2) the content of these expressions. An observational exploratory two-step approach was used to investigate audiotaped recordings from 38 Norwegian home care visits with older persons and nurse assistants. First, 206 cues and concerns were identified using VR-CoDES. Second, the content and context of these expressions were analysed inductively. Four main categories emerged: worries about relationships with others, worries about health care-related issues, worries about aging and bodily impairment, and life narratives and value issues, with several subcategories showing the causes of worry and emotions involved. The two-step approach provides an in-depth knowledge of older persons' worries, causes of worries, and their related emotions. The subcategories described in a language close to the experience can be useful in practice development and communication training for students and health care providers. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Correlation Among the Army Combat Identifier, Personality Type, and Career Satisfaction

National Research Council Canada - National Science Library

Garren, Laura J

2005-01-01

Retaining quality officers in today's volunteer Army is critical. Personality should be considered during the selection process to assist in placing officers in a career branch suited to their character...

Development of a TL personal dosimeter identifiable PA exposure, and comparison with commercial TL dosimeters

International Nuclear Information System (INIS)

Kwon, J.W.; Kim, H.K.; Lee, J.K.; Kim, J.L.

2004-01-01

A single-dosimeter worn on the anterior surface of the body of a worker was found to significantly underestimate the effective dose to the worker when the radiation comes from the back. Several researchers suggested that this sort of underestimation can be corrected to a certain extent by using an extra dosimeter on the back. However, use of multiple dosimeters also has disadvantages such as complication in control or incurrence of extra cost. Instead of the common multi-dosimeter approach, in this study, a single dosimeter introducing asymmetric filters which enabled to identify PA exposure was designed, and its dose evaluation algorithm for AP-PA mixed radiation fields was established. A prototype TL personal dosimeter was designed and constructed. The Monte Carlo simulations were utilized in the design process and verified by experiments. The dosimeter and algorithm were applicable to photon radiation having an effective energy beyond 100 keV in AP-PA mixed radiation fields. A simplified performance test based on ANSI N13.11 showed satisfactory results. Considering that the requirements of the International Electrotechnical Commission (IEC) and the American National Standards Institute (ANSI) with regard to the dosimeter on angular dependency is reinforced, the dosimeter and the dose evaluation algorithm developed in this study provides a useful approach in practical personal dosimetry against inhomogeneous high energy radiation fields. (author)

Identifying Trajectories of Borderline Personality Features in Adolescence: Antecedent and Interactive Risk Factors.

Science.gov (United States)

Haltigan, John D; Vaillancourt, Tracy

2016-03-01

To examine trajectories of adolescent borderline personality (BP) features in a normative-risk cohort (n = 566) of Canadian children assessed at ages 13, 14, 15, and 16 and childhood predictors of trajectory group membership assessed at ages 8, 10, 11, and 12. Data were drawn from the McMaster Teen Study, an on-going study examining relations among bullying, mental health, and academic achievement. Participants and their parents completed a battery of mental health and peer relations questionnaires at each wave of the study. Academic competence was assessed at age 8 (Grade 3). Latent class growth analysis, analysis of variance, and logistic regression were used to analyze the data. Three distinct BP features trajectory groups were identified: elevated or rising, intermediate or stable, and low or stable. Parent- and child-reported mental health symptoms, peer relations risk factors, and intra-individual risk factors were significant predictors of elevated or rising and intermediate or stable trajectory groups. Child-reported attention-deficit hyperactivity disorder (ADHD) and somatization symptoms uniquely predicted elevated or rising trajectory group membership, whereas parent-reported anxiety and child-reported ADHD symptoms uniquely predicted intermediate or stable trajectory group membership. Child-reported somatization symptoms was the only predictor to differentiate the intermediate or stable and elevated or rising trajectory groups (OR 1.15, 95% CI 1.04 to 1.28). Associations between child-reported reactive temperament and elevated BP features trajectory group membership were 10.23 times higher among children who were bullied, supporting a diathesis-stress pathway in the development of BP features for these youth. Findings demonstrate the heterogeneous course of BP features in early adolescence and shed light on the potential prodromal course of later borderline personality disorder. © The Author(s) 2015.

Tensor Completion for Estimating Missing Values in Visual Data

KAUST Repository

Liu, Ji

2012-01-25

In this paper, we propose an algorithm to estimate missing values in tensors of visual data. The values can be missing due to problems in the acquisition process or because the user manually identified unwanted outliers. Our algorithm works even with a small amount of samples and it can propagate structure to fill larger missing regions. Our methodology is built on recent studies about matrix completion using the matrix trace norm. The contribution of our paper is to extend the matrix case to the tensor case by proposing the first definition of the trace norm for tensors and then by building a working algorithm. First, we propose a definition for the tensor trace norm that generalizes the established definition of the matrix trace norm. Second, similarly to matrix completion, the tensor completion is formulated as a convex optimization problem. Unfortunately, the straightforward problem extension is significantly harder to solve than the matrix case because of the dependency among multiple constraints. To tackle this problem, we developed three algorithms: simple low rank tensor completion (SiLRTC), fast low rank tensor completion (FaLRTC), and high accuracy low rank tensor completion (HaLRTC). The SiLRTC algorithm is simple to implement and employs a relaxation technique to separate the dependant relationships and uses the block coordinate descent (BCD) method to achieve a globally optimal solution; the FaLRTC algorithm utilizes a smoothing scheme to transform the original nonsmooth problem into a smooth one and can be used to solve a general tensor trace norm minimization problem; the HaLRTC algorithm applies the alternating direction method of multipliers (ADMMs) to our problem. Our experiments show potential applications of our algorithms and the quantitative evaluation indicates that our methods are more accurate and robust than heuristic approaches. The efficiency comparison indicates that FaLTRC and HaLRTC are more efficient than SiLRTC and between Fa

Tensor Completion for Estimating Missing Values in Visual Data

KAUST Repository

Liu, Ji; Musialski, Przemyslaw; Wonka, Peter; Ye, Jieping

2012-01-01

In this paper, we propose an algorithm to estimate missing values in tensors of visual data. The values can be missing due to problems in the acquisition process or because the user manually identified unwanted outliers. Our algorithm works even with a small amount of samples and it can propagate structure to fill larger missing regions. Our methodology is built on recent studies about matrix completion using the matrix trace norm. The contribution of our paper is to extend the matrix case to the tensor case by proposing the first definition of the trace norm for tensors and then by building a working algorithm. First, we propose a definition for the tensor trace norm that generalizes the established definition of the matrix trace norm. Second, similarly to matrix completion, the tensor completion is formulated as a convex optimization problem. Unfortunately, the straightforward problem extension is significantly harder to solve than the matrix case because of the dependency among multiple constraints. To tackle this problem, we developed three algorithms: simple low rank tensor completion (SiLRTC), fast low rank tensor completion (FaLRTC), and high accuracy low rank tensor completion (HaLRTC). The SiLRTC algorithm is simple to implement and employs a relaxation technique to separate the dependant relationships and uses the block coordinate descent (BCD) method to achieve a globally optimal solution; the FaLRTC algorithm utilizes a smoothing scheme to transform the original nonsmooth problem into a smooth one and can be used to solve a general tensor trace norm minimization problem; the HaLRTC algorithm applies the alternating direction method of multipliers (ADMMs) to our problem. Our experiments show potential applications of our algorithms and the quantitative evaluation indicates that our methods are more accurate and robust than heuristic approaches. The efficiency comparison indicates that FaLTRC and HaLRTC are more efficient than SiLRTC and between Fa

Tensor completion for estimating missing values in visual data.

Science.gov (United States)

Liu, Ji; Musialski, Przemyslaw; Wonka, Peter; Ye, Jieping

2013-01-01

In this paper, we propose an algorithm to estimate missing values in tensors of visual data. The values can be missing due to problems in the acquisition process or because the user manually identified unwanted outliers. Our algorithm works even with a small amount of samples and it can propagate structure to fill larger missing regions. Our methodology is built on recent studies about matrix completion using the matrix trace norm. The contribution of our paper is to extend the matrix case to the tensor case by proposing the first definition of the trace norm for tensors and then by building a working algorithm. First, we propose a definition for the tensor trace norm that generalizes the established definition of the matrix trace norm. Second, similarly to matrix completion, the tensor completion is formulated as a convex optimization problem. Unfortunately, the straightforward problem extension is significantly harder to solve than the matrix case because of the dependency among multiple constraints. To tackle this problem, we developed three algorithms: simple low rank tensor completion (SiLRTC), fast low rank tensor completion (FaLRTC), and high accuracy low rank tensor completion (HaLRTC). The SiLRTC algorithm is simple to implement and employs a relaxation technique to separate the dependent relationships and uses the block coordinate descent (BCD) method to achieve a globally optimal solution; the FaLRTC algorithm utilizes a smoothing scheme to transform the original nonsmooth problem into a smooth one and can be used to solve a general tensor trace norm minimization problem; the HaLRTC algorithm applies the alternating direction method of multipliers (ADMMs) to our problem. Our experiments show potential applications of our algorithms and the quantitative evaluation indicates that our methods are more accurate and robust than heuristic approaches. The efficiency comparison indicates that FaLTRC and HaLRTC are more efficient than SiLRTC and between FaLRTC an

Missed Radiation Therapy and Cancer Recurrence

Science.gov (United States)

Patients who miss radiation therapy sessions during cancer treatment have an increased risk of their disease returning, even if they eventually complete their course of radiation treatment, according to a new study.

Diabetes or hypertension as risk indicators for missing teeth ...

African Journals Online (AJOL)

A negative binomial regression (NBR) model was generated. Results: Mean age was 50.7 ± 16.2 and 50.0% were women. Mean number of missing teeth was 4.98 ± 4.17. In the multivariate NBR model, we observed that individuals with T2DM had higher risk of more missing teeth (incidence rate ratios [IRRs] = 3.13; 95% ...

Identifying research priorities for effective retention strategies in clinical trials.

Science.gov (United States)

Kearney, Anna; Daykin, Anne; Shaw, Alison R G; Lane, Athene J; Blazeby, Jane M; Clarke, Mike; Williamson, Paula; Gamble, Carrol

2017-08-31

The failure to retain patients or collect primary-outcome data is a common challenge for trials and reduces the statistical power and potentially introduces bias into the analysis. Identifying strategies to minimise missing data was the second highest methodological research priority in a Delphi survey of the Directors of UK Clinical Trial Units (CTUs) and is important to minimise waste in research. Our aim was to assess the current retention practices within the UK and priorities for future research to evaluate the effectiveness of strategies to reduce attrition. Seventy-five chief investigators of NIHR Health Technology Assessment (HTA)-funded trials starting between 2009 and 2012 were surveyed to elicit their awareness about causes of missing data within their trial and recommended practices for improving retention. Forty-seven CTUs registered within the UKCRC network were surveyed separately to identify approaches and strategies being used to mitigate missing data across trials. Responses from the current practice surveys were used to inform a subsequent two-round Delphi survey with registered CTUs. A consensus list of retention research strategies was produced and ranked by priority. Fifty out of seventy-five (67%) chief investigators and 33/47 (70%) registered CTUs completed the current practice surveys. Seventy-eight percent of trialists were aware of retention challenges and implemented strategies at trial design. Patient-initiated withdrawal was the most common cause of missing data. Registered CTUs routinely used newsletters, timeline of participant visits, and telephone reminders to mitigate missing data. Whilst 36 out of 59 strategies presented had been formally or informally evaluated, some frequently used strategies, such as site initiation training, have had no research to inform practice. Thirty-five registered CTUs (74%) participated in the Delphi survey. Research into the effectiveness of site initiation training, frequency of patient contact

Lessons Learned from Missing Flooding Barriers Operating Experience

International Nuclear Information System (INIS)

Simic, Z.; Veira, M. P.

2016-01-01

Flooding hazard is highly significant for nuclear power plant safety because of its potential for common cause impact on safety related systems, and because operating experience reviews regularly identify flooding as a cause of concern. Source of the flooding could be external (location) or internal (plant design). The amount of flooding water could vary but even small amount might suffice to affect redundant trains of safety related systems for power supply and cooling. The protection from the flooding is related to the design-basis flood level (DBFL) and it consists of three elements: structural, organizational and accessibility. Determination of the DBFL is critical, as Fukushima Daiichi accident terribly proved. However, as the topic of flooding is very broad, the scope of this paper is focused only on the issues related to the missing flood barriers. Structural measures are physically preventing flooding water to reach or damage safety related system, and they could be permanent or temporary. For temporary measures it is important to have necessary material, equipment and organizational capacity for the timely implementation. Maintenance is important for permanent protection and periodical review is important for assuring readiness and feasibility of temporary flooding protection. Final flooding protection element is assured accessibility to safety related systems during the flooding. Appropriate flooding protection is based on the right implementation of design requirements, proper maintenance and periodic reviews. Operating experience is constantly proving how numerous water sources and systems interactions make flooding protection challenging. This paper is presenting recent related operating experience feedback involving equipment, procedures and analysis. Most frequent deficiencies are: inadequate, degraded or missing seals that would allow floodwaters into safety related spaces. Procedures are inadequate typically because they underestimate necessary

Missing Boxes in Central Europe

DEFF Research Database (Denmark)

Prockl, Günter; Weibrecht Kristensen, Kirsten

2015-01-01

The Chinese New Year is an event that obviously happens every year. Every year however it also causes severe problems for the companies involved in the industry in form of missing containers throughout the chain but in particular in the European Hinterland. Illustrated on the symptoms of the Chin...

Exploratory Factor Analysis With Small Samples and Missing Data.

Science.gov (United States)

McNeish, Daniel

2017-01-01

Exploratory factor analysis (EFA) is an extremely popular method for determining the underlying factor structure for a set of variables. Due to its exploratory nature, EFA is notorious for being conducted with small sample sizes, and recent reviews of psychological research have reported that between 40% and 60% of applied studies have 200 or fewer observations. Recent methodological studies have addressed small size requirements for EFA models; however, these models have only considered complete data, which are the exception rather than the rule in psychology. Furthermore, the extant literature on missing data techniques with small samples is scant, and nearly all existing studies focus on topics that are not of primary interest to EFA models. Therefore, this article presents a simulation to assess the performance of various missing data techniques for EFA models with both small samples and missing data. Results show that deletion methods do not extract the proper number of factors and estimate the factor loadings with severe bias, even when data are missing completely at random. Predictive mean matching is the best method overall when considering extracting the correct number of factors and estimating factor loadings without bias, although 2-stage estimation was a close second.

Implicit Valuation of the Near-Miss is Dependent on Outcome Context.

Science.gov (United States)

Banks, Parker J; Tata, Matthew S; Bennett, Patrick J; Sekuler, Allison B; Gruber, Aaron J

2018-03-01

Gambling studies have described a "near-miss effect" wherein the experience of almost winning increases gambling persistence. The near-miss has been proposed to inflate the value of preceding actions through its perceptual similarity to wins. We demonstrate here, however, that it acts as a conditioned stimulus to positively or negatively influence valuation, dependent on reward expectation and cognitive engagement. When subjects are asked to choose between two simulated slot machines, near-misses increase valuation of machines with a low payout rate, whereas they decrease valuation of high payout machines. This contextual effect impairs decisions and persists regardless of manipulations to outcome feedback or financial incentive provided for good performance. It is consistent with proposals that near-misses cause frustration when wins are expected, and we propose that it increases choice stochasticity and overrides avoidance of low-valued options. Intriguingly, the near-miss effect disappears when subjects are required to explicitly value machines by placing bets, rather than choosing between them. We propose that this task increases cognitive engagement and recruits participation of brain regions involved in cognitive processing, causing inhibition of otherwise dominant systems of decision-making. Our results reveal that only implicit, rather than explicit strategies of decision-making are affected by near-misses, and that the brain can fluidly shift between these strategies according to task demands.

Personal profile of medical students selected through a knowledge-based exam only: are we missing suitable students?

Directory of Open Access Journals (Sweden)

Milena Abbiati

2016-04-01

Full Text Available Introduction: A consistent body of literature highlights the importance of a broader approach to select medical school candidates both assessing cognitive capacity and individual characteristics. However, selection in a great number of medical schools worldwide is still based on knowledge exams, a procedure that might neglect students with needed personal characteristics for future medical practice. We investigated whether the personal profile of students selected through a knowledge-based exam differed from those not selected. Methods: Students applying for medical school (N=311 completed questionnaires assessing motivations for becoming a doctor, learning approaches, personality traits, empathy, and coping styles. Selection was based on the results of MCQ tests. Principal component analysis was used to draw a profile of the students. Differences between selected and non-selected students were examined by Multivariate ANOVAs, and their impact on selection by logistic regression analysis. Results: Students demonstrating a profile of diligence with higher conscientiousness, deep learning approach, and task-focused coping were more frequently selected (p=0.01. Other personal characteristics such as motivation, sociability, and empathy did not significantly differ, comparing selected and non-selected students. Conclusion: Selection through a knowledge-based exam privileged diligent students. It did neither advantage nor preclude candidates with a more humane profile.

Airline Safety Improvement Through Experience with Near-Misses: A Cautionary Tale.

Science.gov (United States)

Madsen, Peter; Dillon, Robin L; Tinsley, Catherine H

2016-05-01

In recent years, the U.S. commercial airline industry has achieved unprecedented levels of safety, with the statistical risk associated with U.S. commercial aviation falling to 0.003 fatalities per 100 million passengers. But decades of research on organizational learning show that success often breeds complacency and failure inspires improvement. With accidents as rare events, can the airline industry continue safety advancements? This question is complicated by the complex system in which the industry operates where chance combinations of multiple factors contribute to what are largely probabilistic (rather than deterministic) outcomes. Thus, some apparent successes are realized because of good fortune rather than good processes, and this research intends to bring attention to these events, the near-misses. The processes that create these near-misses could pose a threat if multiple contributing factors combine in adverse ways without the intervention of good fortune. Yet, near-misses (if recognized as such) can, theoretically, offer a mechanism for continuing safety improvements, above and beyond learning gleaned from observable failure. We test whether or not this learning is apparent in the airline industry. Using data from 1990 to 2007, fixed effects Poisson regressions show that airlines learn from accidents (their own and others), and from one category of near-misses-those where the possible dangers are salient. Unfortunately, airlines do not improve following near-miss incidents when the focal event has no clear warnings of significant danger. Therefore, while airlines need to and can learn from certain near-misses, we conclude with recommendations for improving airline learning from all near-misses. © 2015 Society for Risk Analysis.

Restoring method for missing data of spatial structural stress monitoring based on correlation

Science.gov (United States)

Zhang, Zeyu; Luo, Yaozhi

2017-07-01

Long-term monitoring of spatial structures is of great importance for the full understanding of their performance and safety. The missing part of the monitoring data link will affect the data analysis and safety assessment of the structure. Based on the long-term monitoring data of the steel structure of the Hangzhou Olympic Center Stadium, the correlation between the stress change of the measuring points is studied, and an interpolation method of the missing stress data is proposed. Stress data of correlated measuring points are selected in the 3 months of the season when missing data is required for fitting correlation. Data of daytime and nighttime are fitted separately for interpolation. For a simple linear regression when single point's correlation coefficient is 0.9 or more, the average error of interpolation is about 5%. For multiple linear regression, the interpolation accuracy is not significantly increased after the number of correlated points is more than 6. Stress baseline value of construction step should be calculated before interpolating missing data in the construction stage, and the average error is within 10%. The interpolation error of continuous missing data is slightly larger than that of the discrete missing data. The data missing rate of this method should better not exceed 30%. Finally, a measuring point's missing monitoring data is restored to verify the validity of the method.

Missed injuries in the era of the trauma scan.

Science.gov (United States)

Lawson, Christy M; Daley, Brian J; Ormsby, Christine B; Enderson, Blaine

2011-02-01

A rapid computed tomography technique or "trauma scan" (TS) provides high-resolution studies of the head, cervical spine, chest, abdomen, and pelvis. We sought to determine whether TS has decreased missed injuries. A previous study of TS found a 3% missed rate. After institutional review board approval, trauma patients from January 2001 through December 2008 were reviewed for delayed diagnosis (DD) of injury to the head, cervical spine, chest, abdomen, or pelvis. Missed extremity injuries were excluded. Injury Severity Score, length of stay, type of injury, outcomes, and days to detection were captured. Of 26,264 patients reviewed, 90 patients had DD, with an incidence of 0.34%. DD most commonly presented on day 2. Injuries included 16 bowel/mesentery, 12 spine, 11 pelvic, 8 spleen, 6 diaphragm, 5 clavicle, 4 scapula, 4 cervical spine, 4 intracranial, 4 sternum, 3 maxillofacial, 3 liver, 2 heart/aorta, 2 vascular, 2 urethra/bladder, 2 pneumothorax, and 2 pancreas/common bile duct. DD resulted in 1 death, 6 prolonged intensive care unit stays, 19 operative interventions, and 38 additional interventions. TS is an effective way of evaluating trauma patients for intracranial, cervical spine, chest, abdomen, and pelvic injuries that have the potential to impact morbidity and mortality. The incidence of injuries missed in these crucial areas has been reduced at our institution by the use of this radiographic modality. The most common missed injury remains bowel, and so a high index of suspicion and the tertiary survey must remain a mainstay of therapy.

Why is microcalcification missed on mammography?

International Nuclear Information System (INIS)

Peters, Gudrun; Jones, Catherine M.; Daniels, Katie

2013-01-01

Ductal carcinoma in situ (DCIS) is often only mammographically evident as microcalcification. Although the overall percentage of screening cases with histologically proven DCIS microcalcification is small, the clinical relevance of missing this finding is significant. The current guidelines in Australia for breast screening departments are for double reading of mammograms to reduce both perceptive and interpretative error. This retrospective study identified patients from a state screening program with histologically proven DCIS whose mammograms showed microcalcification. The initial double reader results were documented according to the 5-point grading scale of BreastScreen Tasmania, and discrepancies between readers were noted. Mammographic factors such as breast density, lesion location, morphology, distribution, size and presence on previous imaging were assessed for significant influence on inter-reader discrepancy. Histological evidence of invasion and grade of malignancy were also analysed. Of 65 identified cases, 29 (45%) showed that one of the two readers had not flagged the microcalcification on the report. Analyses revealed no significant difference in reader discrepancy with any of the analysed factors including breast density, size of microcalcification or presence on previous imaging. Twenty-five of 29 (86%) cases of discrepancy were perceptive. Breast screening reading for microcalcification is poorly correlated to mammographic or histological features. The majority of errors were perceptive rather than interpretative. Double reading is advocated as standard practice to reduce perceptive error.

Use of Multiple Imputation Method to Improve Estimation of Missing Baseline Serum Creatinine in Acute Kidney Injury Research

Science.gov (United States)

Peterson, Josh F.; Eden, Svetlana K.; Moons, Karel G.; Ikizler, T. Alp; Matheny, Michael E.

2013-01-01

Summary Background and objectives Baseline creatinine (BCr) is frequently missing in AKI studies. Common surrogate estimates can misclassify AKI and adversely affect the study of related outcomes. This study examined whether multiple imputation improved accuracy of estimating missing BCr beyond current recommendations to apply assumed estimated GFR (eGFR) of 75 ml/min per 1.73 m2 (eGFR 75). Design, setting, participants, & measurements From 41,114 unique adult admissions (13,003 with and 28,111 without BCr data) at Vanderbilt University Hospital between 2006 and 2008, a propensity score model was developed to predict likelihood of missing BCr. Propensity scoring identified 6502 patients with highest likelihood of missing BCr among 13,003 patients with known BCr to simulate a “missing” data scenario while preserving actual reference BCr. Within this cohort (n=6502), the ability of various multiple-imputation approaches to estimate BCr and classify AKI were compared with that of eGFR 75. Results All multiple-imputation methods except the basic one more closely approximated actual BCr than did eGFR 75. Total AKI misclassification was lower with multiple imputation (full multiple imputation + serum creatinine) (9.0%) than with eGFR 75 (12.3%; Pcreatinine) (15.3%) versus eGFR 75 (40.5%; P<0.001). Multiple imputation improved specificity and positive predictive value for detecting AKI at the expense of modestly decreasing sensitivity relative to eGFR 75. Conclusions Multiple imputation can improve accuracy in estimating missing BCr and reduce misclassification of AKI beyond currently proposed methods. PMID:23037980

Career Self-Efficacy and Personality: Linking Career Confidence and the Healthy Personality

Science.gov (United States)

Borgen, Fred H.; Betz, Nancy E.

2008-01-01

This article extends recent work on the relationship between personality and career self-efficacy by examining relationships across two new inventories with scales for identifying human strengths. The Healthy Personality Inventory (HPI) has 17 content scales tapping an array of positive personality measures. The CAPA Confidence Inventory (CCI) has…

Personality disorders in persons with gender identity disorder.

Science.gov (United States)

Duišin, Dragana; Batinić, Borjanka; Barišić, Jasmina; Djordjevic, Miroslav L; Vujović, Svetlana; Bizic, Marta

2014-01-01

Investigations in the field of gender identity disorder (GID) have been mostly related to psychiatric comorbidity and severe psychiatric disorders, but have focused less on personality and personality disorders (PDs). The aim of the study was to assess the presence of PDs in persons with GID as compared to cisgendered (a cisgender person is a person who is content to remain the gender they were assigned at birth) heterosexuals, as well as to biological sex. The study sample consisted of 30 persons with GID and 30 cisgendered heterosexuals from the general population. The assessment of PDs was conducted by application of the self-administered Structured Clinical Interview for DSM-IV Axis II PDs (SCID-II). Persons with GID compared to cisgender heterosexuals have higher presence of PDs, particularly Paranoid PD, avoidant PDs, and comorbid PDs. In addition, MtF (transwomen are people assigned male at birth who identify as women) persons are characterized by a more severe psychopathological profile. Assessment of PDs in persons with GID is of great importance as it comprises a key part of personalized treatment plan tailoring, as well as a prognostic factor for sex-reassignment surgery (SRS) outcome.

Missed Testing Opportunities for HIV Screening and Early Diagnosis in an Urban Tertiary Care Center

Directory of Open Access Journals (Sweden)

Joseph DeRose

2017-01-01

Full Text Available Newark, New Jersey, is disproportionally affected by HIV with one of the highest prevalence rates in the United States. Rutgers New Jersey Medical School is a major healthcare provider to Newark’s underserved population and has implemented a HIV testing program that can diagnose and link newly diagnosed individuals to care. We conducted a retrospective chart review of all new patients seen in the Infectious Disease Practice from January 1, 2013, to December 31, 2014, to determine the proportion of patients with a missed testing opportunity (MTO (patients with a new HIV diagnosis with an encounter at the institution in the 1 year prior to their first appointment. 117 newly diagnosed patients were identified. 36 (31% had at least one MTO. A total of 34 (29% of newly diagnosed patients had AIDS at presentation and 17% had CD4 counts of 50 cells/μL (p value 0.5. The two most common locations of a missed testing opportunity were the hospital ED (45% and subspecialty clinics (37%. This study demonstrates that, even in a high prevalence institution with HIV counseling, testing, and referral service, HIV screening is lacking at multiple points of care and patients are missing opportunities for earlier diagnosis and treatment.

Missed opportunities in primary care: the importance of identifying depression through screening, family history, and chronic disease management.

Science.gov (United States)

Maradiegue, Ann H; Khan, Fakiha

2013-02-01

This study explored the adequacy of depression screening in a community health center. The medical charts of individuals (N = 90) enrolled at a community health center were randomly selected, reviewed, and compared to current standard-of-care guidelines for four elements: family history, screening for depression, control of chronic illnesses, and missed opportunities for preventive care. Family history documentation collected by the providers was limited and 44.4% had no family history. There was no routine depression screening process, although 48.9% of the clients had red flags (warning signals) for depression. Laboratory values used for screening control of chronic disease in the medical records were: fasting glucose levels ⩽100 mg/dL (46%), total cholesterol levels ⩽200 mg/dL (38%), and blood pressure ⩽120/80 mmHg (23%). The results highlight the need to focus on depression screening as part of preventive care and the management of chronic disease in the primary care setting. Copyright 2013, SLACK Incorporated.

Investigator's Guide to Missing Child Cases. For Law-Enforcement Officers Locating Missing Children. Second Edition.

Science.gov (United States)

Patterson, John C.

This booklet provides guidance to law enforcement officers investigating missing children cases, whether through parental kidnappings, abductions by strangers, runaway or "throwaway" cases, and those in which the circumstances are unknown. The guide describes, step-by-step, the investigative process required for each of the four types of missing…

A dynamic programming approach to missing data estimation using neural networks

CSIR Research Space (South Africa)

Nelwamondo, FV

2013-01-01

Full Text Available method where dynamic programming is not used. This paper also suggests a different way of formulating a missing data problem such that the dynamic programming is applicable to estimate the missing data....

Predicting race performance in triathlon: the role of perfectionism, achievement goals, and personal goal setting.

Science.gov (United States)

Stoeber, Joachim; Uphill, Mark A; Hotham, Sarah

2009-04-01

The question of how perfectionism affects performance is highly debated. Because empirical studies examining perfectionism and competitive sport performance are missing, the present research investigated how perfectionism affected race performance and what role athletes' goals played in this relationship in two prospective studies with competitive triathletes (Study 1: N = 112; Study 2: N = 321). Regression analyses showed that perfectionistic personal standards, high performance-approach goals, low performance-avoidance goals, and high personal goals predicted race performance beyond athletes' performance level. Moreover, the contrast between performance-avoidance and performance-approach goals mediated the relationship between perfectionistic personal standards and performance, whereas personal goal setting mediated the relationship between performance-approach goals and performance. The findings indicate that perfectionistic personal standards do not undermine competitive performance, but are associated with goals that help athletes achieve their best possible performance.

Personal Digital Branding as a Professional Asset in the Digital Age

Science.gov (United States)

Kleppinger, Courtney A.

2015-01-01

In recent years, society’s rapid adoption of social media has made the boundary between professional and private life nearly indistinguishable. The literature provides guidance on how to demonstrate professionalism via social media platforms. Social media policies within health professions education tend to be legalistic in nature, serving primarily to highlight behaviors students should avoid. One missing element in social media literature is the concept of online invisibility. In this paper, we define personal digital branding, discuss the professional implications of choosing to abstain from social media use, and urge educators to recognize that the personal digital branding may be an emerging asset for young professionals in the twenty-first century. PMID:26430266

Establishing a threshold for the number of missing days using 7 d pedometer data.

Science.gov (United States)

Kang, Minsoo; Hart, Peter D; Kim, Youngdeok

2012-11-01

The purpose of this study was to examine the threshold of the number of missing days of recovery using the individual information (II)-centered approach. Data for this study came from 86 participants, aged from 17 to 79 years old, who had 7 consecutive days of complete pedometer (Yamax SW 200) wear. Missing datasets (1 d through 5 d missing) were created by a SAS random process 10,000 times each. All missing values were replaced using the II-centered approach. A 7 d average was calculated for each dataset, including the complete dataset. Repeated measure ANOVA was used to determine the differences between 1 d through 5 d missing datasets and the complete dataset. Mean absolute percentage error (MAPE) was also computed. Mean (SD) daily step count for the complete 7 d dataset was 7979 (3084). Mean (SD) values for the 1 d through 5 d missing datasets were 8072 (3218), 8066 (3109), 7968 (3273), 7741 (3050) and 8314 (3529), respectively (p > 0.05). The lower MAPEs were estimated for 1 d missing (5.2%, 95% confidence interval (CI) 4.4-6.0) and 2 d missing (8.4%, 95% CI 7.0-9.8), while all others were greater than 10%. The results of this study show that the 1 d through 5 d missing datasets, with replaced values, were not significantly different from the complete dataset. Based on the MAPE results, it is not recommended to replace more than two days of missing step counts.

Maternal death and near miss measurement

African Journals Online (AJOL)

ABEOLUGBENGAS

2008-05-26

May 26, 2008 ... Maternal health services need to be accountable more than ever ... of maternal death and near miss audit, surveillance and review is ..... (d) A fundamental principle of these ..... quality assurance in obstetrics in Nigeria - a.

Interpolation of Missing Precipitation Data Using Kernel Estimations for Hydrologic Modeling

Directory of Open Access Journals (Sweden)

Hyojin Lee

2015-01-01

Full Text Available Precipitation is the main factor that drives hydrologic modeling; therefore, missing precipitation data can cause malfunctions in hydrologic modeling. Although interpolation of missing precipitation data is recognized as an important research topic, only a few methods follow a regression approach. In this study, daily precipitation data were interpolated using five different kernel functions, namely, Epanechnikov, Quartic, Triweight, Tricube, and Cosine, to estimate missing precipitation data. This study also presents an assessment that compares estimation of missing precipitation data through Kth nearest neighborhood (KNN regression to the five different kernel estimations and their performance in simulating streamflow using the Soil Water Assessment Tool (SWAT hydrologic model. The results show that the kernel approaches provide higher quality interpolation of precipitation data compared with the KNN regression approach, in terms of both statistical data assessment and hydrologic modeling performance.

MISSE 6 Polymer Film Tensile Experiment

Science.gov (United States)

Miller, Sharon K. R.; Dever, Joyce A.; Banks, Bruce A.; Waters, Deborah L.; Sechkar, Edward; Kline, Sara

2010-01-01

The Polymer Film Tensile Experiment (PFTE) was flown as part of Materials International Space Station Experiment 6 (MISSE 6). The purpose of the experiment was to expose a variety of polymer films to the low Earth orbital environment under both relaxed and tension conditions. The polymers selected are those commonly used for spacecraft thermal control and those under consideration for use in spacecraft applications such as sunshields, solar sails, and inflatable and deployable structures. The dog-bone shaped samples of polymers that were flown were exposed on both the side of the MISSE 6 Passive Experiment Container (PEC) that was facing into the ram direction (receiving atomic oxygen, ultraviolet (UV) radiation, ionizing radiation, and thermal cycling) and the wake facing side (which was supposed to have experienced predominantly the same environmental effects except for atomic oxygen which was present due to reorientation of the International Space Station). A few of the tensile samples were coated with vapor deposited aluminum on the back and wired to determine the point in the flight when the tensile sample broke as recorded by a change in voltage that was stored on battery powered data loggers for post flight retrieval and analysis. The data returned on the data loggers was not usable. However, post retrieval observation and analysis of the samples was performed. This paper describes the preliminary analysis and observations of the polymers exposed on the MISSE 6 PFTE.

Optimal simultaneous superpositioning of multiple structures with missing data.

Science.gov (United States)

Theobald, Douglas L; Steindel, Phillip A

2012-08-01

Superpositioning is an essential technique in structural biology that facilitates the comparison and analysis of conformational differences among topologically similar structures. Performing a superposition requires a one-to-one correspondence, or alignment, of the point sets in the different structures. However, in practice, some points are usually 'missing' from several structures, for example, when the alignment contains gaps. Current superposition methods deal with missing data simply by superpositioning a subset of points that are shared among all the structures. This practice is inefficient, as it ignores important data, and it fails to satisfy the common least-squares criterion. In the extreme, disregarding missing positions prohibits the calculation of a superposition altogether. Here, we present a general solution for determining an optimal superposition when some of the data are missing. We use the expectation-maximization algorithm, a classic statistical technique for dealing with incomplete data, to find both maximum-likelihood solutions and the optimal least-squares solution as a special case. The methods presented here are implemented in THESEUS 2.0, a program for superpositioning macromolecular structures. ANSI C source code and selected compiled binaries for various computing platforms are freely available under the GNU open source license from http://www.theseus3d.org. dtheobald@brandeis.edu Supplementary data are available at Bioinformatics online.

Missed Cases in the Detection of Child Abuse Based on Parental Characteristics in the Emergency Department (the Hague Protocol)

NARCIS (Netherlands)

Diderich, H.M.; Verkerk, P.H.; Oudesluys-Murphy, A.M.; Dechesne, M.; Buitendijk, S.E.; Fekkes, M.

2015-01-01

Introduction We aimed to assess the number of “missed cases” in the detection of child abuse based on the Hague Protocol. This protocol considers 3 parental characteristics of ED adult patients to identify child abuse: (1) domestic violence, (2) intoxication, and (3) suicide attempt or

Discrete subgroups of adolescents diagnosed with borderline personality disorder: a latent class analysis of personality features.

Science.gov (United States)

Ramos, Vera; Canta, Guilherme; de Castro, Filipa; Leal, Isabel

2014-08-01

Research suggests that borderline personality disorder (BPD) can be diagnosed in adolescents and is marked by considerable heterogeneity. This study aimed to identify personality features characterizing adolescents with BPD and possible meaningful patterns of heterogeneity that could lead to personality subgroups. The authors analyzed data on 60 adolescents, ages 15 to 18 years, who met DSM criteria for a BPD diagnosis. The authors used latent class analysis (LCA) to identify subgroups based on the personality pattern scales from the Millon Adolescent Clinical Inventory (MACI). LCA indicated that the best-fitting solution was a two-class model, identifying two discrete subgroups of BPD adolescents that were described as internalizing and externalizing. The subgroups were then compared on clinical and sociodemographic variables, measures of personality dimensions, DSM BPD criteria, and perception of attachment styles. Adolescents with a BPD diagnosis constitute a heterogeneous group and vary meaningfully on personality features that can have clinical implications for treatment.

Investigating the treatment of missing data in an Olympiad-type test – the case of the selection validity in the South African Mathematics Olympiad

Directory of Open Access Journals (Sweden)

Caroline Long

2016-10-01

Full Text Available The purpose of the South African Mathematics Olympiad is to generate interest in mathematics and to identify the most talented mathematical minds. Our focus is on how the handling of missing data affects the selection of the ‘best’ contestants. Two approaches handling missing data, applying the Rasch model, are described. The issue of guessing is investigated through a tailored analysis. We present two microanalyses to illustate how missing data may impact selection; the first investigates groups of contestants that may miss selection under particular conditions; the second focuses on two contestants each of whom answer 14 items correctly. This comparison raises questions about the proportion of correct to incorrect answers. Recommendations are made for future scoring of the test, which include reconsideration of negative marking and weighting as well as considering the inclusion of 150 or 200 contestants as opposed to 100 contestants for participation in the final round.

Deep learning for constructing microblog behavior representation to identify social media user’s personality

Directory of Open Access Journals (Sweden)

Xiaoqian Liu

2016-09-01

Full Text Available Due to the rapid development of information technology, the Internet has gradually become a part of everyday life. People would like to communicate with friends to share their opinions on social networks. The diverse behavior on socials networks is an ideal reflection of users’ personality traits. Existing behavior analysis methods for personality prediction mostly extract behavior attributes with heuristic analysis. Although they work fairly well, they are hard to extend and maintain. In this paper, we utilize a deep learning algorithm to build a feature learning model for personality prediction, which could perform an unsupervised extraction of the Linguistic Representation Feature Vector (LRFV activity without supervision from text actively published on the Sina microblog. Compared with other feature extractsion methods, LRFV, as an abstract representation of microblog content, could describe a user’s semantic information more objectively and comprehensively. In the experiments, the personality prediction model is built using a linear regression algorithm, and different attributes obtained through different feature extraction methods are taken as input of the prediction model, respectively. The results show that LRFV performs better in microblog behavior descriptions, and improves the performance of the personality prediction model.

A New Missing Values Estimation Algorithm in Wireless Sensor Networks Based on Convolution

Directory of Open Access Journals (Sweden)

Feng Liu

2013-04-01

Full Text Available Nowadays, with the rapid development of Internet of Things (IoT applications, data missing phenomenon becomes very common in wireless sensor networks. This problem can greatly and directly threaten the stability and usability of the Internet of things applications which are constructed based on wireless sensor networks. How to estimate the missing value has attracted wide interest, and some solutions have been proposed. Different with the previous works, in this paper, we proposed a new convolution based missing value estimation algorithm. The convolution theory, which is usually used in the area of signal and image processing, can also be a practical and efficient way to estimate the missing sensor data. The results show that the proposed algorithm in this paper is practical and effective, and can estimate the missing value accurately.

Symptomatic Patients without Epidemiological Indicators of HIV Have a High Risk of Missed Diagnosis: A Multi-Centre Cross Sectional Study.

Science.gov (United States)

Brännström, Johanna; Svedhem, Veronica; Marrone, Gaetano; Andersson, Örjan; Azimi, Farshad; Blaxhult, Anders; Sönnerborg, Anders

2016-01-01

One quarter of HIV-1 positive individuals in Sweden present for care with HIV or AIDS associated conditions without an HIV test (missed presentations) and 16% report neglect of such symptoms. The objective of this study was to identify risk factors for these missed opportunities of HIV-1 diagnosis. A national study, recruiting 409 newly diagnosed HIV-1 infected adults over a 2.5-year period, was performed. Logistic regression models tested the relationship between missed presentation and patient's neglect versus socio-demographic and behavioural risk factors. Additionally the initiator of the HIV test was assessed. The odds for a missed presentation was lower for migrants (from East Europe, Asia, and Pacific (East): OR 0.4 (0.2-0.8); Sub-Saharan Africa (SSA): 0.3 (0.2-0.6); other: 0.5 (0.2-1.0)), compared to patients born in Sweden, just as symptoms neglected by the patient (East (0.3 (0.1-1.0); SSA (0.4 (0.2-0.8)). The latter was also lower for men who have sex with men (0.5 (0.2-1.0)), compared to patients infected heterosexually. Patients infected in the East, with present/previous substance use or a previous negative HIV test were more likely to take the initiative to test on their own, whereas those >50 years and with a previously missed presentation had significantly reduced odds, pepidemiological indicators of HIV are more likely to have a history of missed presentations, to neglect symptoms and are less prone to take an initiative to test for HIV themselves. It is important to further implement testing to include all patients with symptoms and conditions indicative of HIV.

Personality Disorders in Persons with Gender Identity Disorder

Directory of Open Access Journals (Sweden)

Dragana Duišin

2014-01-01

Full Text Available Background. Investigations in the field of gender identity disorder (GID have been mostly related to psychiatric comorbidity and severe psychiatric disorders, but have focused less on personality and personality disorders (PDs. Aims. The aim of the study was to assess the presence of PDs in persons with GID as compared to cisgendered (a cisgender person is a person who is content to remain the gender they were assigned at birth heterosexuals, as well as to biological sex. Methods. The study sample consisted of 30 persons with GID and 30 cisgendered heterosexuals from the general population. The assessment of PDs was conducted by application of the self-administered Structured Clinical Interview for DSM-IV Axis II PDs (SCID-II. Results. Persons with GID compared to cisgender heterosexuals have higher presence of PDs, particularly Paranoid PD, avoidant PDs, and comorbid PDs. In addition, MtF (transwomen are people assigned male at birth who identify as women persons are characterized by a more severe psychopathological profile. Conclusions. Assessment of PDs in persons with GID is of great importance as it comprises a key part of personalized treatment plan tailoring, as well as a prognostic factor for sex-reassignment surgery (SRS outcome.

Missing mass from low-luminosity stars

International Nuclear Information System (INIS)

Hawkins, M.R.S.

1986-01-01

Results from a deep photometric survey for low-luminosity stars show a turnup to the luminosity function at faint magnitudes, and reopen the possibility that the missing mass in the solar neighbourhood is made up of stars after all. (author)

Decision-making deficits in normal elderly persons associated with executive personality disturbances.

Science.gov (United States)

Nguyen, Christopher M; Barrash, Joseph; Koenigs, Anna L; Bechara, Antoine; Tranel, Daniel; Denburg, Natalie L

2013-11-01

The problems that some community-dwelling elderly persons develop in real-world decision-making may have disastrous consequences for their health and financial well-being. Investigations across the adult life span have identified personality as an important individual differences variable that is related to decision-making ability. The aim of this study was to investigate the relationship between personality characteristics, as rated by an informant, and complex decision-making performance among elderly persons. It was hypothesized that deficits in decision-making would be associated with personality characteristics reflecting weak executive functioning (Lack of Planning, Poor Judgment, Lack of Persistence, Perseveration, Lack of Initiative, Impulsivity, and Indecisiveness). Fifty-eight elderly persons participated. Their health and cognitive status were deemed intact via comprehensive neuropsychological evaluation. The Iowa Scales of Personality, completed by an informant, was used to assess personality characteristics, and the Iowa Gambling Task, completed by the participant, was used to assess complex decision-making abilities. Longstanding disturbances in executive personality characteristics were found to be associated with poor decision-making, and these disturbances remained predictive of poor decision-making even after taking into consideration demographic, neuropsychological, and mood factors. Acquired personality disturbances did not add significantly to prediction after longstanding disturbances were taken into account. Disturbances in other dimensions of personality were not significantly associated with poor decision-making. Our study suggests that attentiveness to the personality correlates of difficulties with aspects of executive functioning over the adult years could enhance the ability to identify older individuals at risk for problems with real-world decision-making.

Influence of type of prosthesis on oral environment and the number of missing teeth in elderly persons.

Science.gov (United States)

Tanaka, Junko; Tanaka, Masahiro

2010-01-01

The purpose of this study was to investigate the relationship between the number of missing teeth (MT) and the statuses of oral environmental factors (the stimulated salivary flow rate, buffering capacity, and the counts of mutans streptococci, lactobacilli, and Candida) in the elderly. The subjects were 64 elderly subjects with fixed prostheses and 49 who wore removable partial dentures aged over 65 years. We used one-way ANOVA to test for overall differences of the number of MT among 5 oral environmental factors. The significant differences were observed in the lactobacilli counts for different number of MT. The number of MT increased with an increase in the lactobacilli counts with removable denture. In conclusion, for the patients wearing removable dentures, increasing number of MT was associated with an increase in the lactobacilli counts in saliva. For the patients with crowns and fixed partial dentures, the number of MT was not significantly affected by salivary mutans streptococci, lactobacilli, and Candida counts.

Influence of Type of Prosthesis on Oral Environment and the Number of Missing Teeth in Elderly Persons

Directory of Open Access Journals (Sweden)

Junko Tanaka

2010-01-01

Full Text Available The purpose of this study was to investigate the relationship between the number of missing teeth (MT and the statuses of oral environmental factors (the stimulated salivary flow rate, buffering capacity, and the counts of mutans streptococci, lactobacilli, and Candida in the elderly. The subjects were 64 elderly subjects with fixed prostheses and 49 who wore removable partial dentures aged over 65 years. We used one-way ANOVA to test for overall differences of the number of MT among 5 oral environmental factors. The significant differences were observed in the lactobacilli counts for different number of MT. The number of MT increased with an increase in the lactobacilli counts with removable denture. In conclusion, for the patients wearing removable dentures, increasing number of MT was associated with an increase in the lactobacilli counts in saliva. For the patients with crowns and fixed partial dentures, the number of MT was not significantly affected by salivary mutans streptococci, lactobacilli, and Candida counts.

Did you miss the eclipse?

CERN Multimedia

CERN Bulletin

2015-01-01

Not wanting to miss a moment of the beautiful celestial dance that played out on Friday, 20 March, Jens Roder of CERN’s PH group took to the Jura mountains, where he got several shots of the event. Here are a selection of his photos, which he was kind enough to share with the Bulletin and its readers.  

Past and future implications of near-misses and their emotional consequences.

Science.gov (United States)

Zhang, Qiyuan; Covey, Judith

2014-01-01

The Reflection and Evaluation Model (REM) of comparative thinking predicts that temporal perspective could moderate people's emotional reactions to close counterfactuals following near-misses (Markman & McMullen, 2003). The experiments reported in this paper tested predictions derived from this theory by examining how people's emotional reactions to a near-miss at goal during a football match (Experiment 1) or a close score in a TV game show (Experiment 2) depended on the level of perceived future possibility. In support of the theory it was found that the presence of future possibility enhanced affective assimilation (e.g., if the near-miss occurred at the beginning of the game the players who had nearly scored were hopeful of future success) whereas the absence of future possibility enhanced affective contrast (e.g., if the near-miss occurred at the end of the game the players who had nearly scored were disappointed about missing an opportunity). Furthermore the experiments built upon our theoretical understanding by exploring the mechanisms which produce assimilation and contrast effects. In Experiment 1 we examined the incidence of present-oriented or future-oriented thinking, and in Experiment 2 we examined the mediating role of counterfactual thinking in the observed effect of proximity on emotions by testing whether stronger counterfactuals (measured using counterfactual probability estimates) produce bigger contrast and assimilation effects. While the results of these investigations generally support the REM, they also highlight the necessity to consider other psychological mechanisms (e.g., social comparison), in addition to counterfactual thinking, that might contribute to the emotional consequences of near-miss outcomes.

Handling of incidents, near-misses

International Nuclear Information System (INIS)

Renborg, Bo; Jonsson, Klas; Broqvist, Kristoffer; Keski-Seppaelae, Sven

2006-12-01

This work has primarily been done as a study of available literature about reporting systems. The following items have also been considered: the participants' experience of safety work in general and reporting systems in particular, as well as correspondence with researchers and organisations that have experience from reporting systems in safety-critical applications. A number of definitions of the English term 'near-miss' have been found in the documentation about safety-critical systems. An important conclusion is that creating a precise definition in itself is not critical. The main objective is to persuade the individuals to report perceived risks as well as actual events or conditions. In this report, we have chosen to use the following definition of what should be reported: A condition or an incident with potential for more serious consequences. The reporting systems that have been evaluated have all data in the same system; they do not divide data into separate systems for incidents or 'near-misses'. The term incident in the literature is not used consistently, especially if both Swedish and English texts are considered. In a large portion of the documentation where the reporting system is mentioned, the focus lies more on analysis than on the problem with the willingness to report. Even when the focus is on reporting it is often dealing with the design of the actual report in order to enable the subsequent treatment of data. In some cases this has led to unnecessary complicated report forms. The cornerstone of a high willingness to report is the creation of a 'no-blame' culture. Based on experience it can be concluded that the question whether a report could lead to personal reprisals is crucial. Even a system that explicitly gives the reporter immunity is still brittle. The bare suspicion (that immunity may vanish) in the mind of the one reporting reduces the willingness to report dramatically. Meaning that the purpose of the analysis of reports must be to

Eesti Miss teeb videofilmi / Evelyn Mikomägi ; interv. Valdo Jahilo

Index Scriptorium Estoniae

Mikomägi, Evelyn

2001-01-01

Eesti Miss Estonia 2000 Evelyn Mikomägi tegi koos sõbra, Sven-Olof Svenne Englundiga dokfilmi Küprosel peetud maailma suurimast iludusvõistlusest Miss Universe 2000. Neile kuulub ühisfirma "Living Frames" Rootsis, mille peategevus on suunatud 16mm ja 35mm filmide tootmisele

Proposed changes in personality and personality disorder assessment and diagnosis for DSM-5 part I: description and rationale

NARCIS (Netherlands)

Skodol, A.E.; Clark, L.A.; Bender, D.S.; Krueger, R.F.; Morey, L.C.; Verheul, R.; Alarcon, R.D.; Bell, C.C.; Siever, L.J.; Oldham, J.M.

2011-01-01

A major reconceptualization of personality psychopathology has been proposed for DSM-5 that identifies core impairments in personality functioning, pathological personality traits, and prominent pathological personality types. A comprehensive personality assessment consists of four components:

PERSONALITY TRAITS AND BORDERLINE PERSONALITY DISORDER

Directory of Open Access Journals (Sweden)

Senija TAHIROVIC

2016-12-01

Full Text Available The people with Borderline Personality Disorder (BPD show pathological personality traits in three of the five domains (APA 2013. In addition to diagnostic criteria for BPD, described by Diagnostic and Statistical Manual of Mental Disorders (DSM-5, the dimensional model of personality disorder, based on five-factor model of personality, seems to gain interest as it promisses to eliminate problems associated with poor-fit, co-morbidity and unclear diagnosis. The purpose of this study is to identify the personality traits by people who are already diagnosed with BPD using the DSM-5 categorical criteria. Based on the theoretical concepts and existing research findings as well as increased interest in the dimensional personality theory, we assume that people diagnosed with BPD will show high levels of pathology on three trait domains: negative affectivity, disinhibition and antagonism. This study was conducted in Germany in psychiatric clinic. Fifteen participants represented a convenience sample, of patients already diagnosed with BPD. For this study Personality Inventory for DSM-5 (PID-5 was used. The findings supported the assumptions that people with BPD show some degree of anxiousness, emotional lability, hostility, impulsivity, risk taking and separation anxiety. The study also found that traits such as distractibility, withdrawal and submissiveness were also present in this participant group. Even though, study was conducted with small number of participants it has provided contribution to the already existing knowledge and understanding in regards to common personality treats for people diagnosed with BPD.

"Part of Me Feels Like There Must Be Something Missing": A Phenomenological Exploration of Practising Psychotherapy as a Clinical Psychologist

Science.gov (United States)

McMahon, Aisling

2018-01-01

The experience of practising psychotherapy as a clinical psychologist was explored through a small number of in-depth interviews. Using Interpretative Phenomenological Analysis, three main themes were identified: "Feeling there's something missing", "Being able to get in there emotionally" and "Needing somewhere to go for…

Learning from near misses: from quick fixes to closing off the Swiss-cheese holes.

Science.gov (United States)

Jeffs, Lianne; Berta, Whitney; Lingard, Lorelei; Baker, G Ross

2012-04-01

The extent to which individuals in healthcare use near misses as learning opportunities remains poorly understood. Thus, an exploratory study was conducted to gain insight into the nature of, and contributing factors to, organisational learning from near misses in clinical practice. A constructivist grounded theory approach was employed which included semi-structured interviews with 24 participants (16 clinicians and 8 administrators) from a large teaching hospital in Canada. This study revealed three scenarios for the responses to near misses, the most common involved 'doing a quick fix' where clinicians recognised and corrected an error with no further action. The second scenario consisted of reporting near misses but not hearing back from management, which some participants characterised as 'going into a black hole'. The third scenario was 'closing off the Swiss-cheese holes', in which a reported near miss generated corrective action at an organisational level. Explanations for 'doing a quick fix' included the pervasiveness of near misses that cause no harm and fear associated with reporting the near miss. 'Going into a black hole' reflected managers' focus on operational duties and events that harmed patients. 'Closing off the Swiss-cheese holes' occurred when managers perceived substantial potential for harm and preventability. Where learning was perceived to occur, leaders played a pivotal role in encouraging near-miss reporting. To optimise learning, organisations will need to determine which near misses are appropriate to be responded to as 'quick fixes' and which ones require further action at the unit and corporate levels.

Absence of missing mass in clusters

Energy Technology Data Exchange (ETDEWEB)

Fesenko, B.I.

1981-01-01

The evaluation of the radial-velocity dispersion in clusters of galaxies is considered by using order statistics to reduce the distortions introduced by foreground and background galaxies and by large errors in velocity measurement. For four nearby clusters of galaxies, including the Coma cluster, velocity dispersions are obtained which are approximately four times lower than previously reported values. It is found that more remote galaxies exhibit the same tendency to a reduction in missing mass. A detailed examination of the statistical properties of galaxies in the Virgo cluster reveals that the cluster might not actually exist, but may be just a large excess in the number density of bright galaxies, possibly the result of an increase in the visibility of objects in the appropriate directions. It is concluded that the presence of a large amount of missing mass in clusters of galaxies is yet to be proven.

A quantification strategy for missing bone mass in case of osteolytic bone lesions

International Nuclear Information System (INIS)

Fränzle, Andrea; Giske, Kristina; Bretschi, Maren; Bäuerle, Tobias; Hillengass, Jens; Bendl, Rolf

2013-01-01

ratiov r /v m of the reconstructed bone volume v r and the healthy model bone volume v m is 1.07, which indicates a good reconstruction of the modified bone. Conclusions: The qualitative and quantitative comparison of manual and semi-automated segmentation results have shown that comparing a modified bone structure with a healthy model can be used to identify and measure missing bone mass in a reproducible way

Missed medical appointment among hypertensive and diabetic ...

African Journals Online (AJOL)

Keywords: Missed medical appointments, Hypertensive, Diabetic outpatients, Medication adherence, ... 12 weeks, at 95 % confidence level and 5 % error margin, 300 hypertensive ... monthly income and health insurance status of respondents ...

Imputation by the mean score should be avoided when validating a Patient Reported Outcomes questionnaire by a Rasch model in presence of informative missing data

LENUS (Irish Health Repository)

Hardouin, Jean-Benoit

2011-07-14

Abstract Background Nowadays, more and more clinical scales consisting in responses given by the patients to some items (Patient Reported Outcomes - PRO), are validated with models based on Item Response Theory, and more specifically, with a Rasch model. In the validation sample, presence of missing data is frequent. The aim of this paper is to compare sixteen methods for handling the missing data (mainly based on simple imputation) in the context of psychometric validation of PRO by a Rasch model. The main indexes used for validation by a Rasch model are compared. Methods A simulation study was performed allowing to consider several cases, notably the possibility for the missing values to be informative or not and the rate of missing data. Results Several imputations methods produce bias on psychometrical indexes (generally, the imputation methods artificially improve the psychometric qualities of the scale). In particular, this is the case with the method based on the Personal Mean Score (PMS) which is the most commonly used imputation method in practice. Conclusions Several imputation methods should be avoided, in particular PMS imputation. From a general point of view, it is important to use an imputation method that considers both the ability of the patient (measured for example by his\\/her score), and the difficulty of the item (measured for example by its rate of favourable responses). Another recommendation is to always consider the addition of a random process in the imputation method, because such a process allows reducing the bias. Last, the analysis realized without imputation of the missing data (available case analyses) is an interesting alternative to the simple imputation in this context.

COMPLEXO: identifying the missing heritability of breast cancer via next generation collaboration.

Science.gov (United States)

Southey, Melissa C; Park, Daniel J; Nguyen-Dumont, Tu; Campbell, Ian; Thompson, Ella; Trainer, Alison H; Chenevix-Trench, Georgia; Simard, Jacques; Dumont, Martine; Soucy, Penny; Thomassen, Mads; Jønson, Lars; Pedersen, Inge S; Hansen, Thomas Vo; Nevanlinna, Heli; Khan, Sofia; Sinilnikova, Olga; Mazoyer, Sylvie; Lesueur, Fabienne; Damiola, Francesca; Schmutzler, Rita; Meindl, Alfons; Hahnen, Eric; Dufault, Michael R; Chris Chan, Tl; Kwong, Ava; Barkardóttir, Rosa; Radice, Paolo; Peterlongo, Paolo; Devilee, Peter; Hilbers, Florentine; Benitez, Javier; Kvist, Anders; Törngren, Therese; Easton, Douglas; Hunter, David; Lindstrom, Sara; Kraft, Peter; Zheng, Wei; Gao, Yu-Tang; Long, Jirong; Ramus, Susan; Feng, Bing-Jian; Weitzel, Jeffrey N; Nathanson, Katherine; Offit, Kenneth; Joseph, Vijai; Robson, Mark; Schrader, Kasmintan; Wang, San; Kim, Yeong C; Lynch, Henry; Snyder, Carrie; Tavtigian, Sean; Neuhausen, Susan; Couch, Fergus J; Goldgar, David E

2013-06-21

Linkage analysis, positional cloning, candidate gene mutation scanning and genome-wide association study approaches have all contributed significantly to our understanding of the underlying genetic architecture of breast cancer. Taken together, these approaches have identified genetic variation that explains approximately 30% of the overall familial risk of breast cancer, implying that more, and likely rarer, genetic susceptibility alleles remain to be discovered.

Assessment of score- and Rasch-based methods for group comparison of longitudinal patient-reported outcomes with intermittent missing data (informative and non-informative).

Science.gov (United States)

de Bock, Élodie; Hardouin, Jean-Benoit; Blanchin, Myriam; Le Neel, Tanguy; Kubis, Gildas; Sébille, Véronique

2015-01-01

The purpose of this study was to identify the most adequate strategy for group comparison of longitudinal patient-reported outcomes in the presence of possibly informative intermittent missing data. Models coming from classical test theory (CTT) and item response theory (IRT) were compared. Two groups of patients' responses to dichotomous items with three times of assessment were simulated. Different cases were considered: presence or absence of a group effect and/or a time effect, a total of 100 or 200 patients, 4 or 7 items and two different values for the correlation coefficient of the latent trait between two consecutive times (0.4 or 0.9). Cases including informative and non-informative intermittent missing data were compared at different rates (15, 30 %). These simulated data were analyzed with CTT using score and mixed model (SM) and with IRT using longitudinal Rasch mixed model (LRM). The type I error, the power and the bias of the group effect estimations were compared between the two methods. This study showed that LRM performs better than SM. When the rate of missing data rose to 30 %, estimations were biased with SM mainly for informative missing data. Otherwise, LRM and SM methods were comparable concerning biases. However, regardless of the rate of intermittent missing data, power of LRM was higher compared to power of SM. In conclusion, LRM should be favored when the rate of missing data is higher than 15 %. For other cases, SM and LRM provide similar results.

Assessing the impact of upper limb disability following stroke: a qualitative enquiry using internet-based personal accounts of stroke survivors.

Science.gov (United States)

Poltawski, Leon; Allison, Rhoda; Briscoe, Simon; Freeman, Jennifer; Kilbride, Cherry; Neal, Debbie; Turton, Ailie J; Dean, Sarah

2016-01-01

Upper limb disability following stroke may have multiple effects on the individual. Existing assessment instruments tend to focus on impairment and function and may miss other changes that are personally important. This study aimed to identify personally significant impacts of upper limb disability following stroke. Accounts by stroke survivors, in the form of web-based diaries (blogs) and stories, were sought using a blog search engine and in stroke-related web-sites. Thematic analysis using the World Health Organisation's International Classification of Functioning Disability and Health (ICF) was used to identify personal impacts of upper limb disability following stroke. Ninety-nine sources from at least four countries were analysed. Many impacts were classifiable using the ICF, but a number of additional themes emerged, including emotional, cognitive and behavioural changes. Blogs and other web-based accounts were easily accessible and rich sources of data, although using them raised several methodological issues, including potential sample bias. A range of impacts was identified, some of which (such as use of information technology and alienation from the upper limb) are not addressed in current assessment instruments. They should be considered in post-stroke assessments. Blogs may help in the development of more comprehensive assessments. A comprehensive assessment of the upper limb following stroke should include the impact of upper limb problems on social participation, as well as associated emotional, cognitive and behavioural changes. Using personalised assessment instruments alongside standardised measures may help ensure that these broader domains are considered in discussions between clinicians and patients. Rehabilitation researchers should investigate whether and how these domains could be addressed and operationalised in standard upper limb assessment instruments.

Personality Pathology of Adults With Autism Spectrum Disorder Without Accompanying Intellectual Impairment in Comparison to Adults With Personality Disorders.

Science.gov (United States)

Strunz, Sandra; Westphal, Linda; Ritter, Kathrin; Heuser, Isabella; Dziobek, Isabel; Roepke, Stefan

2015-12-01

Differentiating autism spectrum disorders (ASDs) without accompanying intellectual impairment from personality disorders is often challenging. Identifying personality traits and personality pathology specific to ASD might facilitate diagnostic procedure. We recruited a sample of 59 adults with ASD without accompanying intellectual impairment, 62 individuals with narcissistic personality disorder, 80 individuals with borderline personality disorder, and 106 nonclinical controls. Personality traits, measured with the neo-personality inventory-revised (NEO-PI-R), and personality pathology, measured with the dimensional assessment of personality pathology (DAPP-BQ), were assessed. Personality traits and personality pathology specific to ASD could be identified. ASD individuals scored significantly lower on the NEO-PI-R scales extraversion and openness to experience and significantly higher on the DAPP-BQ scales inhibitedness and compulsivity relative to all other groups. Diagnostic implications are discussed.

Personality Processes: Mechanisms by which Personality Traits “Get Outside the Skin”

Science.gov (United States)

Hampson, Sarah E.

2011-01-01

It is time to better understand why personality traits predict consequential outcomes, which calls for a closer look at personality processes. Personality processes are mechanisms that unfold over time to produce the effects of personality traits. They include reactive and instrumental processes that moderate or mediate the association between traits and outcomes. These mechanisms are illustrated here by a selection of studies of traits representing the three broad domains of personality and temperament: negative emotionality, positive emotionality, and constraint. Personality processes are studied over the short-term, as in event-sampling studies, and over the long-term, as in lifespan research. Implications of findings from the study of processes are considered for resolving issues in models of personality structure, improving and extending methods of personality assessment, and identifying targets for personality interventions. PMID:21740225

How not to miss autoinflammatory diseases masquerading as urticaria

DEFF Research Database (Denmark)

Krause, K; Grattan, C E; Bindslev-Jensen, C

2012-01-01

Urticarial skin reactions are one of the most frequent problems seen by allergists and clinical immunologists in daily practice. The most common reason for recurrent wheals is spontaneous urticaria. There are, however, several less common diseases that present with urticarial rash...... symptoms including recurrent fever attacks, arthralgia or arthritis and fatigue. Autoinflammatory diseases are often associated with a diagnostic delay of many years and do not respond to antihistamines and other treatments of urticaria. Also, the chronic inflammation may lead to long-term complications...... such as amyloidosis. It is therefore important not to miss these diseases when diagnosing and treating patients with chronic recurrent urticarial rash. Here, we present clinical clues and tips that can help to identify autoinflammatory disorders in patients presenting with chronic urticarial rash and discuss...

Modelling non-ignorable missing data mechanisms with item response theory models

NARCIS (Netherlands)

Holman, Rebecca; Glas, Cornelis A.W.

2005-01-01

A model-based procedure for assessing the extent to which missing data can be ignored and handling non-ignorable missing data is presented. The procedure is based on item response theory modelling. As an example, the approach is worked out in detail in conjunction with item response data modelled

Modelling non-ignorable missing-data mechanisms with item response theory models

NARCIS (Netherlands)

Holman, Rebecca; Glas, Cees A. W.

2005-01-01

A model-based procedure for assessing the extent to which missing data can be ignored and handling non-ignorable missing data is presented. The procedure is based on item response theory modelling. As an example, the approach is worked out in detail in conjunction with item response data modelled

A Comparison of Missing-Data Procedures for Arima Time-Series Analysis

Science.gov (United States)

Velicer, Wayne F.; Colby, Suzanne M.

2005-01-01

Missing data are a common practical problem for longitudinal designs. Time-series analysis is a longitudinal method that involves a large number of observations on a single unit. Four different missing-data methods (deletion, mean substitution, mean of adjacent observations, and maximum likelihood estimation) were evaluated. Computer-generated…

The Network Completion Problem: Inferring Missing Nodes and Edges in Networks

Energy Technology Data Exchange (ETDEWEB)

Kim, M; Leskovec, J

2011-11-14

Network structures, such as social networks, web graphs and networks from systems biology, play important roles in many areas of science and our everyday lives. In order to study the networks one needs to first collect reliable large scale network data. While the social and information networks have become ubiquitous, the challenge of collecting complete network data still persists. Many times the collected network data is incomplete with nodes and edges missing. Commonly, only a part of the network can be observed and we would like to infer the unobserved part of the network. We address this issue by studying the Network Completion Problem: Given a network with missing nodes and edges, can we complete the missing part? We cast the problem in the Expectation Maximization (EM) framework where we use the observed part of the network to fit a model of network structure, and then we estimate the missing part of the network using the model, re-estimate the parameters and so on. We combine the EM with the Kronecker graphs model and design a scalable Metropolized Gibbs sampling approach that allows for the estimation of the model parameters as well as the inference about missing nodes and edges of the network. Experiments on synthetic and several real-world networks show that our approach can effectively recover the network even when about half of the nodes in the network are missing. Our algorithm outperforms not only classical link-prediction approaches but also the state of the art Stochastic block modeling approach. Furthermore, our algorithm easily scales to networks with tens of thousands of nodes.

On the Counterfactual Nature of Gambling Near‐misses: An Experimental Study

Science.gov (United States)

van Dijk, Eric; Li, Hong; Aitken, Michael; Clark, Luke

2017-01-01

Abstract Research on gambling near‐misses has shown that objectively equivalent outcomes can yield divergent emotional and motivational responses. The subjective processing of gambling outcomes is affected substantially by close but non‐obtained outcomes (i.e. counterfactuals). In the current paper, we investigate how different types of near‐misses influence self‐perceived luck and subsequent betting behavior in a wheel‐of‐fortune task. We investigate the counterfactual mechanism of these effects by testing the relationship with a second task measuring regret/relief processing. Across two experiments (Experiment 1, n = 51; Experiment 2, n = 104), we demonstrate that near‐wins (neutral outcomes that are close to a jackpot) decreased self‐perceived luck, whereas near‐losses (neutral outcomes that are close to a major penalty) increased luck ratings. The effects of near‐misses varied by near‐miss position (i.e. whether the spinner stopped just short of, or passed through, the counterfactual outcome), consistent with established distinctions between upward versus downward, and additive versus subtractive, counterfactual thinking. In Experiment 1, individuals who showed stronger counterfactual processing on the regret/relief task were more responsive to near‐wins and near‐losses on the wheel‐of‐fortune task. The effect of near‐miss position was attenuated when the anticipatory phase (i.e. the spin and deceleration) was removed in Experiment 2. Further differences were observed within the objective gains and losses, between “clear” and “narrow” outcomes. Taken together, these results help substantiate the counterfactual mechanism of near‐misses. © 2017 The Authors Journal of Behavioral Decision Making Published by John Wiley & Sons Ltd. PMID:29081596

Personality-Related Problems and the Five-Factor Model of Personality

OpenAIRE

Boudreaux, Michael

2014-01-01

This research identifies a broad and inclusive set of personality-related problems and examines their empirical associations with both the high and low poles of the five-factor model of personality (FFM). McCrae, Widiger, and colleagues (e.g., McCrae, 1994; McCrae, Löckenhoff, & Costa, 2005; Widiger, Costa, & McCrae, 2002, 2012) have proposed that individuals with particular personality traits may be predisposed to particular kinds of problems in life, and suggested that the FFM serve as a ba...

What We’re Missing

OpenAIRE

Camille R. Whitney; Jing Liu

2017-01-01

For schools and teachers to help students develop knowledge and skills, students need to show up to class. Yet absenteeism is prevalent, especially in secondary schools. This study uses a rich data set tracking class attendance by day for over 50,000 middle and high school students from an urban district in academic years 2007–2008 through 2012–2013. Our results extend and modify the extant findings on absenteeism that have been based almost exclusively on full-day absenteeism, missing class-...

Changing character: A narrative review of personality change in psychotherapies for personality disorder.

Science.gov (United States)

Keefe, John R; DeRubeis, Robert J

2018-01-19

Personality disorder (PD) is a negative prognostic indicator for treatment, and absolute improvements in functioning among these patients are often modest. This may be because personality features that give rise to dysfunction in PD are not targeted optimally during most treatments. Attachment, mentalization, core beliefs, and personality organization/defense use were identified as personality constructs that have been pursued in treatment studies and that are proposed to underlie PD. All constructs correlate with psychiatric symptoms, PD diagnosis, and functioning. Defense mechanisms and core beliefs further distinguish specific PDs, whereas personality organization separates more versus less severe PDs. Evidence from treatment and naturalistic studies indicate that maturation of defense mechanisms temporally precedes improvements in symptoms and functioning. Changes in attachment and mentalization correlate with some outcomes, but mediation of improvement has not been established. In psychodynamic therapy, transference interpretations may promote amelioration of personality dysfunction. With the exception of attachment, the experimental literature is lacking that could explicate the mechanisms by which these personality constructs maintain psychosocial dysfunction. Future research should aim to identify changes in these mechanisms that mediate positive outcomes in PD, as well as the specific therapeutic procedures that best promote positive change in PD.

76 FR 27377 - Additional Identifying Information Associated With Persons Whose Property and Interests in...

Science.gov (United States)

2011-05-11

... 13572 of April 29, 2011, ``Blocking Property of Certain Persons With Respect to Human Rights Abuses in... 29, 2011, ``Blocking Property of Certain Persons with Respect to Human Rights Abuses in Syria... Emergency Economic Powers Act (50 U.S.C. 1701-06). In the Order, the President expanded the scope of the...

Cognitive distortions and gambling near-misses in Internet Gaming Disorder: A preliminary study.

Directory of Open Access Journals (Sweden)

Yin Wu

Full Text Available Increased cognitive distortions (i.e. biased processing of chance, probability and skill are a key psychopathological process in disordered gambling. The present study investigated state and trait aspects of cognitive distortions in 22 individuals with Internet Gaming Disorder (IGD and 22 healthy controls. Participants completed the Gambling Related Cognitions Scale as a trait measure of cognitive distortions, and played a slot machine task delivering wins, near-misses and full-misses. Ratings of pleasure ("liking" and motivation to play ("wanting" were taken following the different outcomes, and gambling persistence was measured after a mandatory phase. IGD was associated with elevated trait cognitive distortions, in particular skill-oriented cognitions. On the slot machine task, the IGD group showed increased "wanting" ratings compared with control participants, while the two groups did not differ regarding their "liking" of the game. The IGD group displayed increased persistence on the slot machine task. Near-miss outcomes did not elicit stronger motivation to play compared to full-miss outcomes overall, and there was no group difference on this measure. However, a near-miss position effect was observed, such that near-misses stopping before the payline were rated as more motivating than near-misses that stopped after the payline, and this differentiation was attenuated in the IGD group, suggesting possible counterfactual thinking deficits in this group. These data provide preliminary evidence for increased incentive motivation and cognitive distortions in IGD, at least in the context of a chance-based gambling environment.

Cognitive distortions and gambling near-misses in Internet Gaming Disorder: A preliminary study.

Science.gov (United States)

Wu, Yin; Sescousse, Guillaume; Yu, Hongbo; Clark, Luke; Li, Hong

2018-01-01

Increased cognitive distortions (i.e. biased processing of chance, probability and skill) are a key psychopathological process in disordered gambling. The present study investigated state and trait aspects of cognitive distortions in 22 individuals with Internet Gaming Disorder (IGD) and 22 healthy controls. Participants completed the Gambling Related Cognitions Scale as a trait measure of cognitive distortions, and played a slot machine task delivering wins, near-misses and full-misses. Ratings of pleasure ("liking") and motivation to play ("wanting") were taken following the different outcomes, and gambling persistence was measured after a mandatory phase. IGD was associated with elevated trait cognitive distortions, in particular skill-oriented cognitions. On the slot machine task, the IGD group showed increased "wanting" ratings compared with control participants, while the two groups did not differ regarding their "liking" of the game. The IGD group displayed increased persistence on the slot machine task. Near-miss outcomes did not elicit stronger motivation to play compared to full-miss outcomes overall, and there was no group difference on this measure. However, a near-miss position effect was observed, such that near-misses stopping before the payline were rated as more motivating than near-misses that stopped after the payline, and this differentiation was attenuated in the IGD group, suggesting possible counterfactual thinking deficits in this group. These data provide preliminary evidence for increased incentive motivation and cognitive distortions in IGD, at least in the context of a chance-based gambling environment.

Increased mortality among Indigenous persons in a multisite cohort of people living with HIV in Canada.

Science.gov (United States)

Benoit, Anita C; Younger, Jaime; Beaver, Kerrigan; Jackson, Randy; Loutfy, Mona; Masching, Renée; Nobis, Tony; Nowgesic, Earl; O'Brien-Teengs, Doe; Whitebird, Wanda; Zoccole, Art; Hull, Mark; Jaworsky, Denise; Benson, Elizabeth; Rachlis, Anita; Rourke, Sean B; Burchell, Ann N; Cooper, Curtis; Hogg, Robert S; Klein, Marina B; Machouf, Nima; Montaner, Julio S G; Tsoukas, Chris; Raboud, Janet

2017-06-16

Compare all-cause mortality between Indigenous participants and participants of other ethnicities living with HIV initiating combination antiretroviral therapy (cART) in an interprovincial multi-site cohort. The Canadian Observational Cohort is a collaboration of 8 cohorts of treatment-naïve persons with HIV initiating cART after January 1, 2000. Participants were followed from the cART initiation date until death or last viral load (VL) test date on or before December 31, 2012. Cox proportional hazard models were used to estimate the effect of ethnicity on time until death after adjusting for age, gender, injection drug use, being a man who has sex with men, hepatitis C, province of origin, baseline VL and CD4 count, year of cART initiation and class of antiretroviral medication. The study sample consisted of 7080 participants (497 Indigenous, 2471 Caucasian, 787 African/Caribbean/Black (ACB), 629 other, and 2696 unknown ethnicity). Most Indigenous persons were from British Columbia (BC) (83%), with smaller numbers from Ontario (13%) and Québec (4%). During the study period, 714 (10%) participants died. The five-year survival probability was lower for Indigenous persons (0.77) than for Caucasian (0.94), ACB (0.98), other ethnicities (0.96) and unknown ethnicities (0.85) (p < 0.0001). In an adjusted proportional hazard model for which missing data were imputed, Indigenous persons were more likely to die than Caucasian participants (hazard ratio = 2.69, p < 0.0001). The mortality rate for Indigenous persons was higher than for other ethnicities and is largely reflective of the BC population. Addressing treatment challenges and identifying HIV- and non-HIV-related causes for mortality among Indigenous persons is required to optimize their clinical management.

What's Missing? Anti-Racist Sex Education!

Science.gov (United States)

Whitten, Amanda; Sethna, Christabelle

2014-01-01

Contemporary sexual health curricula in Canada include information about sexual diversity and queer identities, but what remains missing is any explicit discussion of anti-racist sex education. Although there exists federal and provincial support for multiculturalism and anti-racism in schools, contemporary Canadian sex education omits crucial…

Missing Strands? Dealing with Hair Loss

Science.gov (United States)

... 2017 Print this issue Missing Strands? Dealing with Hair Loss En español Send us your comments Hair loss is often associated with men and aging, but ... or their treatments, and many other things cause hair loss. The most common type of hair loss is ...

The case of the missing third.

Science.gov (United States)

Robertson, Robin

2005-01-01

How is it that form arises out of chaos? In attempting to deal with this primary question, time and again a "Missing Third" is posited that lies between extremes. The problem of the "Missing Third" can be traced through nearly the entire history of thought. The form it takes, the problems that arise from it, the solutions suggested for resolving it, are each representative of an age. This paper traces the issue from Plato and Parmenides in the 4th--5th centuries, B.C.; to Neoplatonism in the 3rd--5th centuries; to Locke and Descartes in the 17th century; on to Berkeley and Kant in the 18th century; Fechner and Wundt in the 19th century; to behaviorism and Gestalt psychology, Jung, early in the 20th century, ethology and cybernetics later in the 20th century, then culminates late in the 20th century, with chaos theory.

Missing mass of the Universe

International Nuclear Information System (INIS)

Mazure, A.

1989-01-01

The first evidence for missing mass or dark matter comes from the 30's. On one hand, Oort noted that in the solar neighbourhood the mass of the stars (inferred from count numbers) cannot account for their observed velocities. On the other hand, observation on the sky of various galaxy condensations like the Coma cluster let suppose that they are actual bound systems and not only statistical fluctuations. However, with such an assumption, Zwicky concluded that the velocity dispersion of galaxies in Coma required 100 times more mass than contained in galaxies. Since this period, refined observations, analyses and a reevaluation of the cosmic distance scale reduced this factor but the problem is still present. It is particularly striking for spiral galaxies where systematic observations of rotation curves lead to infer the presence of spherical massive halos. These dynamical evidences form the first missing mass problem. The second one appears with the development of Great Unified Theories for which the natural laboratory is the very early Universe. A consequence of these theories is that our Universe could be closed by exotic particles which interact only gravitationally [fr

Known and missing left ventricular ejection fraction and survival in patients with heart failure

DEFF Research Database (Denmark)

Poppe, Katrina K; Squire, Iain B; Whalley, Gillian A

2013-01-01

Treatment of patients with heart failure (HF) relies on measurement of LVEF. However, the extent to which EF is recorded varies markedly. We sought to characterize the patient group that is missing a measure of EF, and to explore the association between missing EF and outcome.......Treatment of patients with heart failure (HF) relies on measurement of LVEF. However, the extent to which EF is recorded varies markedly. We sought to characterize the patient group that is missing a measure of EF, and to explore the association between missing EF and outcome....

Predicting appointment misses in hospitals using data analytics

Science.gov (United States)

Karpagam, Sylvia; Ma, Nang Laik

2017-01-01

Background There is growing attention over the last few years about non-attendance in hospitals and its clinical and economic consequences. There have been several studies documenting the various aspects of non-attendance in hospitals. Project Predicting Appoint Misses (PAM) was started with the intention of being able to predict the type of patients that would not come for appointments after making bookings. Methods Historic hospital appointment data merged with “distance from hospital” variable was used to run Logistic Regression, Support Vector Machine and Recursive Partitioning to decide the contributing variables to missed appointments. Results Variables that are “class”, “time”, “demographics” related have an effect on the target variable, however, prediction models may not perform effectively due to very subtle influence on the target variable. Previously assumed major contributors like “age”, “distance” did not have a major effect on the target variable. Conclusions With the given data it will be very difficult to make any moderate/strong prediction of the Appointment misses. That being said with the help of the cut off we are able to capture all of the “appointment misses” in addition to also capturing the actualized appointments. PMID:28567409

Orthodontic Management of Congenitally Missing Maxillary Lateral Incisors: A Case Report

OpenAIRE

Paduano, Sergio; Cioffi, Iacopo; Rongo, Roberto; Cupo, Antonello; Bucci, Rosaria; Valletta, Rosa

2014-01-01

This case report describes the orthodontic treatment of a woman, aged 15 years, with permanent dentition, brachyfacial typology, with congenitally missing maxillary lateral incisors. Multibracket straightwire fixed appliance was used to open the space for dental implant placement, and treat the impaired occlusion. The missing lateral incisors were substituted with oral implants.

Satisfaction in motion: Subsequent search misses are more likely in moving search displays.

Science.gov (United States)

Stothart, Cary; Clement, Andrew; Brockmole, James R

2018-02-01

People often conduct visual searches in which multiple targets are possible (e.g., medical X-rays can contain multiple abnormalities). In this type of search, observers are more likely to miss a second target after having found a first one (a subsequent search miss). Recent evidence has suggested that this effect may be due to a depletion of cognitive resources from tracking the identities and locations of found targets. Given that tracking moving objects is resource-demanding, would finding a moving target further increase the chances of missing a subsequent one? To address this question, we had participants search for one or more targets hidden among distractors. Subsequent search misses were more likely when the targets and distractors moved throughout the display than when they remained stationary. However, when the found targets were highlighted in a unique color, subsequent search misses were no more likely in moving displays. Together, these results suggest that the effect of movement is likely due to the increased cognitive demands of tracking moving targets. Overall, our findings reveal that activities that involve searching for moving targets (e.g., driving) are more susceptible to subsequent search misses than are those that involve searching for stationary targets (e.g., baggage screening).

Search for Supersymmetry in 8 TeV Proton-Proton Collision Events with Bottom-Quark Jets and Missing Transverse Energy

CERN Document Server

Kreis, Benjamin

A search for supersymmetry in a sample of proton-proton collision events with a center-of-mass energy of 8 TeV is presented. The sample, collected with the Compact Muon Solenoid detector at the Large Hadron Collider, corresponds to an integrated luminosity of 19.4 fb$^{−1}$. Events are required to have large missing transverse energy, at least three jets, and at least one identified bottom-quark jet. Numbers of events in exclusive bins of the scalar sum of jet transverse momentum values, missing transverse energy, and bottom-quark jet multiplicity are found to be consistent with the standard model expectations. The results are interpreted as 95$\\%$ confidence level upper limits on simplified supersymmetric models approximating gluino mediated bottom- and top-squark production.

Treatment dropout and missed appointments among adults with attention-deficit/hyperactivity disorder: associations with patient- and disorder-related factors.

Science.gov (United States)

Soendergaard, Helle M; Thomsen, Per H; Pedersen, Pernille; Pedersen, Erik; Poulsen, Agnethe E; Nielsen, Jette M; Winther, Lars; Henriksen, Anne; Rungoe, Berit; Soegaard, Hans J

2016-02-01

educational and occupational systems and highest rates of skipping class during mandatory schooling is equally associated with current behavior of treatment dropout and missed appointments as are sociodemographic and clinical factors. ClinicalTrials.gov identifier: NCT02226445. © Copyright 2015 Physicians Postgraduate Press, Inc.

Professional experience and traffic accidents/near-miss accidents among truck drivers.

Science.gov (United States)

Girotto, Edmarlon; Andrade, Selma Maffei de; González, Alberto Durán; Mesas, Arthur Eumann

2016-10-01

To investigate the relationship between the time working as a truck driver and the report of involvement in traffic accidents or near-miss accidents. A cross-sectional study was performed with truck drivers transporting products from the Brazilian grain harvest to the Port of Paranaguá, Paraná, Brazil. The drivers were interviewed regarding sociodemographic characteristics, working conditions, behavior in traffic and involvement in accidents or near-miss accidents in the previous 12 months. Subsequently, the participants answered a self-applied questionnaire on substance use. The time of professional experience as drivers was categorized in tertiles. Statistical analyses were performed through the construction of models adjusted by multinomial regression to assess the relationship between the length of experience as a truck driver and the involvement in accidents or near-miss accidents. This study included 665 male drivers with an average age of 42.2 (±11.1) years. Among them, 7.2% and 41.7% of the drivers reported involvement in accidents and near-miss accidents, respectively. In fully adjusted analysis, the 3rd tertile of professional experience (>22years) was shown to be inversely associated with involvement in accidents (odds ratio [OR] 0.29; 95% confidence interval [CI] 0.16-0.52) and near-miss accidents (OR 0.17; 95% CI 0.05-0.53). The 2nd tertile of professional experience (11-22 years) was inversely associated with involvement in accidents (OR 0.63; 95% CI 0.40-0.98). An evident relationship was observed between longer professional experience and a reduction in reporting involvement in accidents and near-miss accidents, regardless of age, substance use, working conditions and behavior in traffic. Copyright © 2016 Elsevier Ltd. All rights reserved.

Ma_MISS on ExoMars: Mineralogical Characterization of the Martian Subsurface

Science.gov (United States)

De Sanctis, Maria Cristina; Altieri, Francesca; Ammannito, Eleonora; Biondi, David; De Angelis, Simone; Meini, Marco; Mondello, Giuseppe; Novi, Samuele; Paolinetti, Riccardo; Soldani, Massimo; Mugnuolo, Raffaele; Pirrotta, Simone; Vago, Jorge L.; Ma_MISS Team

2017-07-01

The Ma_MISS (Mars Multispectral Imager for Subsurface Studies) experiment is the visible and near infrared (VNIR) miniaturized spectrometer hosted by the drill system of the ExoMars 2020 rover. Ma_MISS will perform IR spectral reflectance investigations in the 0.4-2.2 μm range to characterize the mineralogy of excavated borehole walls at different depths (between 0 and 2 m). The spectral sampling is about 20 nm, whereas the spatial resolution over the target is 120 μm. Making use of the drill's movement, the instrument slit can scan a ring and build up hyperspectral images of a borehole. The main goal of the Ma_MISS instrument is to study the martian subsurface environment. Access to the martian subsurface is crucial to our ability to constrain the nature, timing, and duration of alteration and sedimentation processes on Mars, as well as habitability conditions. Subsurface deposits likely host and preserve H2O ice and hydrated materials that will contribute to our understanding of the H2O geochemical environment (both in the liquid and in the solid state) at the ExoMars 2020 landing site. The Ma_MISS spectral range and sampling capabilities have been carefully selected to allow the study of minerals and ices in situ before the collection of samples. Ma_MISS will be implemented to accomplish the following scientific objectives: (1) determine the composition of subsurface materials, (2) map the distribution of subsurface H2O and volatiles, (3) characterize important optical and physical properties of materials (e.g., grain size), and (4) produce a stratigraphic column that will inform with regard to subsurface geological processes. The Ma_MISS findings will help to refine essential criteria that will aid in our selection of the most interesting subsurface formations from which to collect samples.

Orthodontic Management of Congenitally Missing Maxillary Lateral Incisors: A Case Report

Directory of Open Access Journals (Sweden)

Sergio Paduano

2014-01-01

Full Text Available This case report describes the orthodontic treatment of a woman, aged 15 years, with permanent dentition, brachyfacial typology, with congenitally missing maxillary lateral incisors. Multibracket straightwire fixed appliance was used to open the space for dental implant placement, and treat the impaired occlusion. The missing lateral incisors were substituted with oral implants.

Social Media Use and the Fear of Missing out (FoMO) While Studying Abroad

Science.gov (United States)

Hetz, Patricia R.; Dawson, Christi L.; Cullen, Theresa A.

2015-01-01

Fear of Missing Out (FoMO) is a social construct that examines whether students are concerned that they are missing out on experiences that others are having, and we examined this relation to their concerns over missing activities in their home culture. This mixed-methods pilot study sought to determine how social media affects the study abroad…

Dealing with missing data in a multi-question depression scale: a comparison of imputation methods

Directory of Open Access Journals (Sweden)

Stuart Heather

2006-12-01

Full Text Available Abstract Background Missing data present a challenge to many research projects. The problem is often pronounced in studies utilizing self-report scales, and literature addressing different strategies for dealing with missing data in such circumstances is scarce. The objective of this study was to compare six different imputation techniques for dealing with missing data in the Zung Self-reported Depression scale (SDS. Methods 1580 participants from a surgical outcomes study completed the SDS. The SDS is a 20 question scale that respondents complete by circling a value of 1 to 4 for each question. The sum of the responses is calculated and respondents are classified as exhibiting depressive symptoms when their total score is over 40. Missing values were simulated by randomly selecting questions whose values were then deleted (a missing completely at random simulation. Additionally, a missing at random and missing not at random simulation were completed. Six imputation methods were then considered; 1 multiple imputation, 2 single regression, 3 individual mean, 4 overall mean, 5 participant's preceding response, and 6 random selection of a value from 1 to 4. For each method, the imputed mean SDS score and standard deviation were compared to the population statistics. The Spearman correlation coefficient, percent misclassified and the Kappa statistic were also calculated. Results When 10% of values are missing, all the imputation methods except random selection produce Kappa statistics greater than 0.80 indicating 'near perfect' agreement. MI produces the most valid imputed values with a high Kappa statistic (0.89, although both single regression and individual mean imputation also produced favorable results. As the percent of missing information increased to 30%, or when unbalanced missing data were introduced, MI maintained a high Kappa statistic. The individual mean and single regression method produced Kappas in the 'substantial agreement' range

Causal inference with missing exposure information: Methods and applications to an obstetric study.

Science.gov (United States)

Zhang, Zhiwei; Liu, Wei; Zhang, Bo; Tang, Li; Zhang, Jun

2016-10-01

Causal inference in observational studies is frequently challenged by the occurrence of missing data, in addition to confounding. Motivated by the Consortium on Safe Labor, a large observational study of obstetric labor practice and birth outcomes, this article focuses on the problem of missing exposure information in a causal analysis of observational data. This problem can be approached from different angles (i.e. missing covariates and causal inference), and useful methods can be obtained by drawing upon the available techniques and insights in both areas. In this article, we describe and compare a collection of methods based on different modeling assumptions, under standard assumptions for missing data (i.e. missing-at-random and positivity) and for causal inference with complete data (i.e. no unmeasured confounding and another positivity assumption). These methods involve three models: one for treatment assignment, one for the dependence of outcome on treatment and covariates, and one for the missing data mechanism. In general, consistent estimation of causal quantities requires correct specification of at least two of the three models, although there may be some flexibility as to which two models need to be correct. Such flexibility is afforded by doubly robust estimators adapted from the missing covariates literature and the literature on causal inference with complete data, and by a newly developed triply robust estimator that is consistent if any two of the three models are correct. The methods are applied to the Consortium on Safe Labor data and compared in a simulation study mimicking the Consortium on Safe Labor. © The Author(s) 2013.

Missing value imputation in DNA microarrays based on conjugate gradient method.

Science.gov (United States)

Dorri, Fatemeh; Azmi, Paeiz; Dorri, Faezeh

2012-02-01

Analysis of gene expression profiles needs a complete matrix of gene array values; consequently, imputation methods have been suggested. In this paper, an algorithm that is based on conjugate gradient (CG) method is proposed to estimate missing values. k-nearest neighbors of the missed entry are first selected based on absolute values of their Pearson correlation coefficient. Then a subset of genes among the k-nearest neighbors is labeled as the best similar ones. CG algorithm with this subset as its input is then used to estimate the missing values. Our proposed CG based algorithm (CGimpute) is evaluated on different data sets. The results are compared with sequential local least squares (SLLSimpute), Bayesian principle component analysis (BPCAimpute), local least squares imputation (LLSimpute), iterated local least squares imputation (ILLSimpute) and adaptive k-nearest neighbors imputation (KNNKimpute) methods. The average of normalized root mean squares error (NRMSE) and relative NRMSE in different data sets with various missing rates shows CGimpute outperforms other methods. Copyright © 2011 Elsevier Ltd. All rights reserved.

The features of endometrium receptor apparatus in women with missed abortion

Directory of Open Access Journals (Sweden)

Александра Николаевна Тищенко

2015-05-01

Full Text Available A new complex of modern methods of investigation, both the endometrium and immune system changes in local and hormonal status is developed in this article, rehabilitation of reproductive function in patients with the missed abortion is proposed.Methods. The study involved 124 women, including 64 women with diagnosed missed abortion. The comparison group included 30 women with physiological pregnancy who were performed artificial abortion. 30 healthy women in pregravidae period were examined. The clinical and anamnestic, histological and immunological features of the endometrium and its functional activity were investigated.Results. Pathogenetic mechanisms of menstrual dysfunction were defined in women with the missed abortion. The changes in the secretory transformation of the endometrium, a sharp decrease in its receptor and functional activity, confirming the lack of development of the luteal phase are observed. Based on the research, an algorithm for the restoration of menstrual function in women in the postgravidae period is developed and implemented in practice.Conclusions. The data confirmed the feasibility of implementing the proposed examination and treatment of women with the missed abortion

[Biometric method for the description of the head of an unrecognized corpse for the purpose of personality individualization and identification].

Science.gov (United States)

Zviagin, V N; Galitskaia, O I; Negasheva, M A

2012-01-01

We have determined absolute dimensions of the head and the relationship between the dimensions of its selected parts. The study enrolled adult subjects (mostly of Russian ethnicity) at the age from 17 to 22 years (1108 men and 1153 women). We calculated the normal values for the estimation of real dimensional characteristics and the frequency of their occurrence in the population. The proposed approach makes it possible to reliably identify the dimensional features of human appearance in terms of the quantitative verbal description (categories 1-5) and to reveal its most characteristic features. The results of this biometric study of the heads of unrecognized corpses obtained by the specially developed technology may be used in operational and search investigations, in the procedure of corpse identification, and forensic medical personality identification of a missing subject.

An Inter-Personal Information Sharing Model Based on Personalized Recommendations

Science.gov (United States)

Kamei, Koji; Funakoshi, Kaname; Akahani, Jun-Ichi; Satoh, Tetsuji

In this paper, we propose an inter-personal information sharing model among individuals based on personalized recommendations. In the proposed model, we define an information resource as shared between people when both of them consider it important --- not merely when they both possess it. In other words, the model defines the importance of information resources based on personalized recommendations from identifiable acquaintances. The proposed method is based on a collaborative filtering system that focuses on evaluations from identifiable acquaintances. It utilizes both user evaluations for documents and their contents. In other words, each user profile is represented as a matrix of credibility to the other users' evaluations on each domain of interests. We extended the content-based collaborative filtering method to distinguish other users to whom the documents should be recommended. We also applied a concept-based vector space model to represent the domain of interests instead of the previous method which represented them by a term-based vector space model. We introduce a personalized concept-base compiled from each user's information repository to improve the information retrieval in the user's environment. Furthermore, the concept-spaces change from user to user since they reflect the personalities of the users. Because of different concept-spaces, the similarity between a document and a user's interest varies for each user. As a result, a user receives recommendations from other users who have different view points, achieving inter-personal information sharing based on personalized recommendations. This paper also describes an experimental simulation of our information sharing model. In our laboratory, five participants accumulated a personal repository of e-mails and web pages from which they built their own concept-base. Then we estimated the user profiles according to personalized concept-bases and sets of documents which others evaluated. We simulated

Missed opportunities for immunisation at Kasungu

African Journals Online (AJOL)

work. Some outreach and static clinics still concen- trate their EPI activities on infants and children and largely ignore the mothers who accompany them. Health workers ... sungu District Hospital (KDH) were surveyed. Six. Health Centres ... Table 2 Missed Dpponunities for Immunisation ofEPI Tat'get Gt'Oups at Kmungu ...

Application of pattern mixture models to address missing data in longitudinal data analysis using SPSS.

Science.gov (United States)

Son, Heesook; Friedmann, Erika; Thomas, Sue A

2012-01-01

Longitudinal studies are used in nursing research to examine changes over time in health indicators. Traditional approaches to longitudinal analysis of means, such as analysis of variance with repeated measures, are limited to analyzing complete cases. This limitation can lead to biased results due to withdrawal or data omission bias or to imputation of missing data, which can lead to bias toward the null if data are not missing completely at random. Pattern mixture models are useful to evaluate the informativeness of missing data and to adjust linear mixed model (LMM) analyses if missing data are informative. The aim of this study was to provide an example of statistical procedures for applying a pattern mixture model to evaluate the informativeness of missing data and conduct analyses of data with informative missingness in longitudinal studies using SPSS. The data set from the Patients' and Families' Psychological Response to Home Automated External Defibrillator Trial was used as an example to examine informativeness of missing data with pattern mixture models and to use a missing data pattern in analysis of longitudinal data. Prevention of withdrawal bias, omitted data bias, and bias toward the null in longitudinal LMMs requires the assessment of the informativeness of the occurrence of missing data. Missing data patterns can be incorporated as fixed effects into LMMs to evaluate the contribution of the presence of informative missingness to and control for the effects of missingness on outcomes. Pattern mixture models are a useful method to address the presence and effect of informative missingness in longitudinal studies.

The Effectiveness of Supermarket Posters in Helping to Find Missing Children

Science.gov (United States)

Lampinen, James Michael; Arnal, Jack; Hicks, Jason L.

2009-01-01

One approach used to help find missing children is to place posters of them at the exits of supermarkets. The present research addresses the question of how effective that approach is likely to be. Posters of 8 missing children were displayed on a bulletin board at a cooperating grocery store. Customers leaving the store completed a survey and…

Missing ozone-induced potential aerosol formation in a suburban deciduous forest

Science.gov (United States)

Nakayama, T.; Kuruma, Y.; Matsumi, Y.; Morino, Y.; Sato, K.; Tsurumaru, H.; Ramasamy, S.; Sakamoto, Y.; Kato, S.; Miyazaki, Y.; Mochizuki, T.; Kawamura, K.; Sadanaga, Y.; Nakashima, Y.; Matsuda, K.; Kajii, Y.

2017-12-01

As a new approach to investigating formation processes of secondary organic aerosol (SOA) in the atmosphere, ozone-induced potential aerosol formation was measured in summer at a suburban forest site surrounded by deciduous trees, near Tokyo, Japan. After passage through a reactor containing high concentrations of ozone, increases in total particle volume (average of 1.4 × 109 nm3/cm3, which corresponds to 17% that of pre-existing particles) were observed, especially during daytime. The observed aerosol formations were compared with the results of box model simulations using simultaneously measured concentrations of gaseous and particulate species. According to the model, the relative contributions of isoprene, monoterpene, and aromatic hydrocarbon oxidation to SOA formation in the reactor were 24, 21, and 55%, respectively. However, the model could explain, on average, only ∼40% of the observed particle formation, and large discrepancies between the observations and model were found, especially around noon and in the afternoon when the concentrations of isoprene and oxygenated volatile organic compounds were high. The results suggest a significant contribution of missing (unaccounted-for) SOA formation processes from identified and/or unidentified volatile organic compounds, especially those emitted during daytime. Further efforts should be made to explore and parameterize this missing SOA formation to assist in the improvement of atmospheric chemistry and climate models.

Are We Really Missing Small Galaxies?

Science.gov (United States)

Kohler, Susanna

2018-02-01

One long-standing astrophysical puzzle is that of so-called missing dwarf galaxies: the number of small dwarf galaxies that we observe is far fewer than that predicted by theory. New simulations, however, suggest that perhaps theres no mystery after all.Missing DwarfsDark-matter cosmological simulations predict many small galaxy halos for every large halo that forms. [The Via Lactea project]Models of a lambda-cold-dark-matter (CDM) universe predict the distribution of galaxy halo sizes throughout the universe, suggesting there should be many more small galaxies than large ones. In what has become known as the missing dwarf problem, however, we find that while we observe the expected numbers of galaxies at the larger end of the scale, we dont see nearly enough small galaxies to match the predictions.Are these galaxies actually missing? Are our predictions wrong? Or are the galaxies there and were just not spotting them? A recent study led by Alyson Brooks (Rutgers University) uses new simulations to explore whatscausing the difference between theory and observation.The fraction of detectable halos as a function of velocity, according to the authors simulations. Below 35 km/s, the detectability of the galaxies drops precipitously. [Brooks et al. 2017]Simulating Galactic VelocitiesBecause we cant weigh a galaxy directly, one proxy used for galaxy mass is its circular velocity; the more massive a galaxy, the faster gas and stars rotate around its center. The discrepancy between models and observations lies in whats known as the galaxy velocity function, which describes the number density of galaxies for a given circular velocity. While theory and observations agree for galaxies with circular velocities above 100 km/s, theory predicts far more dwarfs below this velocity than we observe.To investigate this problem, Brooks and collaborators ran a series of cosmological simulations based on our understanding of a CDM universe. Instead of exploring the result using only

Using Chief Complaint in Addition to Diagnosis Codes to Identify Falls in the Emergency Department.

Science.gov (United States)

Patterson, Brian W; Smith, Maureen A; Repplinger, Michael D; Pulia, Michael S; Svenson, James E; Kim, Michael K; Shah, Manish N

2017-09-01

To compare incidence of falls in an emergency department (ED) cohort using a traditional International Classification of Diseases, Ninth Revision (ICD-9) code-based scheme and an expanded definition that included chief complaint information and to examine the clinical characteristics of visits "missed" in the ICD-9-based scheme. Retrospective electronic record review. Academic medical center ED. Individuals aged 65 and older seen in the ED between January 1, 2013, and September 30, 2015. Two fall definitions were applied (individually and together) to the cohort: an ICD-9-based definition and a chief complaint definition. Admission rates and 30-day mortality (per encounter) were measured for each definition. Twenty-three thousand eight hundred eighty older adult visits occurred during the study period. Using the most-inclusive definition (ICD-9 code or chief complaint indicating a fall), 4,363 visits (18%) were fall related. Of these visits, 3,506 (80%) met the ICD-9 definition for a fall-related visit, and 2,664 (61%) met the chief complaint definition. Of visits meeting the chief complaint definition, 857 (19.6%) were missed when applying the ICD-9 definition alone. Encounters missed using the ICD-9 definition were less likely to lead to an admission (42.9%, 95% confidence interval (CI) = 39.7-46.3%) than those identified (54.4%, 95% CI = 52.7-56.0%). Identifying individuals in the ED who have fallen based on diagnosis codes underestimates the true burden of falls. Individuals missed according to the code-based definition were less likely to have been admitted than those who were captured. These findings call attention to the value of using chief complaint information to identify individuals who have fallen in the ED-for research, clinical care, or policy reasons. © 2017, Copyright the Authors Journal compilation © 2017, The American Geriatrics Society.

Bayesian nonparametric generative models for causal inference with missing at random covariates.

Science.gov (United States)

Roy, Jason; Lum, Kirsten J; Zeldow, Bret; Dworkin, Jordan D; Re, Vincent Lo; Daniels, Michael J

2018-03-26

We propose a general Bayesian nonparametric (BNP) approach to causal inference in the point treatment setting. The joint distribution of the observed data (outcome, treatment, and confounders) is modeled using an enriched Dirichlet process. The combination of the observed data model and causal assumptions allows us to identify any type of causal effect-differences, ratios, or quantile effects, either marginally or for subpopulations of interest. The proposed BNP model is well-suited for causal inference problems, as it does not require parametric assumptions about the distribution of confounders and naturally leads to a computationally efficient Gibbs sampling algorithm. By flexibly modeling the joint distribution, we are also able to impute (via data augmentation) values for missing covariates within the algorithm under an assumption of ignorable missingness, obviating the need to create separate imputed data sets. This approach for imputing the missing covariates has the additional advantage of guaranteeing congeniality between the imputation model and the analysis model, and because we use a BNP approach, parametric models are avoided for imputation. The performance of the method is assessed using simulation studies. The method is applied to data from a cohort study of human immunodeficiency virus/hepatitis C virus co-infected patients. © 2018, The International Biometric Society.

Contribution of various microenvironments to the daily personal exposure to ultrafine particles

DEFF Research Database (Denmark)

Bekö, Gabriel; Kjeldsen, Birthe Uldahl; Olsen, Yulia

2015-01-01

a backpack equipped with a portable monitor, continuously recording particle number concentrations (PN), in order to measure the real-time individual exposure over a period of similar to 48 h. A GPS logger was carried along with the particle monitor and allowed us to estimate the contribution of UFP exposure......, compared to the GPS. These results may indicate limitations of using diaries, but also possible inaccuracy and miss-classification in the GPS data. (C) 2015 Elsevier Ltd. All rights reserved.......Exposure to ultrafine particles (UFP) may have adverse health effects. Central monitoring stations do not represent the personal exposure to UFP accurately. Few studies have previously focused on personal exposure to UFP. Sixty non-smoking residents living in Copenhagen, Denmark were asked to carry...

Structure of personality psychology based on cocitation analysis of prominent authors

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Jevremov Tanja

2007-01-01

Full Text Available Traditional Author Cocitation Analysis was applied in order to map the personality psychology as a research field. A group of 25 authors were selected from the Haggbloom (1999, 2002 lists of the most cited and prominent psychologists, judged to be the main contributors to the field. All of their cocitations identified in the three year volumes of SSCI were downloaded to be analyzed by cluster analysis and MDS. The analysis resulted in four clusters comprising (1 theorists of individual differences amalgamated with authors of biological orientation with R. Cattell positioned centrally, (2 behaviorists joined by socio-cognitive theorists led by M.E.P. Seligman and A. Bandura, and (3 the group of psychoanalytic (dynamic theorists with A. Adler in the middle. In fourth cluster G. Allport, H. Murray, K. Lewin, W. Mischel, and D. Buss were found mixed together to make a rather heterogeneous group. In two-axes representation one of the dimensions was understood as reflecting methodological and the other one content-specific differences among the authors, although this interpretation is not univocal. The same procedure was repeated on citations given to the same authors in SocioFakt - the Serbian Citation Index for Social Sciences, revealing a reduced picture of the domain. At this portrait, some important authors are missing as a result of their low citation rate, suggesting that in the Serbian personality psychology entire research fields don’t exist. .

Replacement of missing tooth in esthetic zone with implant-supported fixed prosthesis

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Sunil Kumar Mishra

2017-01-01

Full Text Available In the anterior region, the common reason for tooth loss is due to traumatic injury or congenital anomaly. Loss of a single tooth may cause functional and esthetic deficits to the patient. There are different treatment options available for replacing a missing incisor. Implant dentistry should be considered as first treatment alternative for replace a missing tooth. This case report presents the replacement of a missing maxillary left central incisor in a compromised site with dental implants along with bone graft followed by frenectomy to obtain a good clinical result and for better function and esthetics of the patient.

Mac OS X : Tiger edition the missing manual

CERN Document Server

Pogue, David

2005-01-01

You can set your watch to it: As soon as Apple comes out with another version of Mac OS X, David Pogue hits the streets with another meticulous Missing Manual to cover it with a wealth of detail. The new Mac OS X 10.4, better known as Tiger, is faster than its predecessors, but nothing's too fast for Pogue and Mac OS X: The Missing Manual. There are many reasons why this is the most popular computer book of all time. With its hallmark objectivity, the Tiger Edition thoroughly explores the latest features to grace the Mac OS. Which ones work well and which do not? What should you look for? Th

Learning-Based Adaptive Imputation Methodwith kNN Algorithm for Missing Power Data

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Minkyung Kim

2017-10-01

Full Text Available This paper proposes a learning-based adaptive imputation method (LAI for imputing missing power data in an energy system. This method estimates the missing power data by using the pattern that appears in the collected data. Here, in order to capture the patterns from past power data, we newly model a feature vector by using past data and its variations. The proposed LAI then learns the optimal length of the feature vector and the optimal historical length, which are significant hyper parameters of the proposed method, by utilizing intentional missing data. Based on a weighted distance between feature vectors representing a missing situation and past situation, missing power data are estimated by referring to the k most similar past situations in the optimal historical length. We further extend the proposed LAI to alleviate the effect of unexpected variation in power data and refer to this new approach as the extended LAI method (eLAI. The eLAI selects a method between linear interpolation (LI and the proposed LAI to improve accuracy under unexpected variations. Finally, from a simulation under various energy consumption profiles, we verify that the proposed eLAI achieves about a 74% reduction of the average imputation error in an energy system, compared to the existing imputation methods.

Using HFACS-Healthcare to Identify Systemic Vulnerabilities During Surgery.

Science.gov (United States)

Cohen, Tara N; Francis, Sarah E; Wiegmann, Douglas A; Shappell, Scott A; Gewertz, Bruce L

2018-03-01

The Human Factors Analysis and Classification System for Healthcare (HFACS-Healthcare) was used to classify surgical near miss events reported via a hospital's event reporting system over the course of 1 year. Two trained analysts identified causal factors within each event narrative and subsequently categorized the events using HFACS-Healthcare. Of 910 original events, 592 could be analyzed further using HFACS-Healthcare, resulting in the identification of 726 causal factors. Most issues (n = 436, 60.00%) involved preconditions for unsafe acts, followed by unsafe acts (n = 257, 35.39%), organizational influences (n = 27, 3.72%), and supervisory factors (n = 6, 0.82%). These findings go beyond the traditional methods of trending incident data that typically focus on documenting the frequency of their occurrence. Analyzing near misses based on their underlying contributing human factors affords a greater opportunity to develop process improvements to reduce reoccurrence and better provide patient safety approaches.

MISSE 6 Stressed Polymers Experiment Atomic Oxygen Erosion Data

Science.gov (United States)

deGroh, Kim K.; Banks, Bruce A.; Mitchell, Gianna G.; Yi, Grace T.; Guo, Aobo; Ashmeade, Claire C.; Roberts, Lily M.; McCarthy, Catherine E.; Sechkar, Edward A.

2013-01-01

Polymers and other oxidizable materials used on the exterior of spacecraft in the low Earth orbit (LEO) space environment can be eroded away by reaction with atomic oxygen (AO). For spacecraft design, it is important to know the LEO AO erosion yield, Ey (volume loss per incident oxygen atom), of materials susceptible to AO erosion. The Stressed Polymers Experiment was developed and flown as part of the Materials International Space Station Experiment 6 (MISSE 6) to compare the AO erosion yields of stressed and non-stressed polymers to determine if erosion is dependent upon stress while in LEO. The experiment contained 36 thin film polymer samples that were exposed to ram AO for 1.45 years. This paper provides an overview of the Stressed Polymers Experiment with details on the polymers flown, the characterization techniques used, the AO fluence, and the erosion yield results. The MISSE 6 data are compared to data for similar samples flown on previous MISSE missions to determine fluence or solar radiation effects on erosion yield.

AN OBSERVATIONAL STUDY OF MATERNAL NEAR MISS CASES IN A TERTIARY CARE CENTRE

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Elizabeth Joseph

2016-12-01

Full Text Available BACKGROUND DM WIMS is the only tertiary care referral hospital in the hilly tribal district of Wayanad. This is an observational study of 20 maternal near miss cases that presented in our hospital over a period of 4 months. MATERIALS AND METHODS This study was conducted by collecting data over a period of 4 months. Total number of live births in this period was 373. There were 20 cases of maternal near miss cases. Maternal near miss cases were chosen based on the inclusion criteria provided by WHO near miss approach for maternal health. RESULTS There were 373 live births in the 4-month observational period. In these 4 months, there were 20 cases of maternal near miss cases in our hospital. That is, maternal near miss ratio was 53.6/1000 live births. The majority were referred cases with MNM ratio of intrahospital cases being 13.4/1000 live births. The potentially life-threatening complications were obstetric haemorrhage and hypertensive disorders, which coexisted in majority of the women. The obstetric haemorrhage was mainly due to abruptio placenta, which can be attributed to the hypertensive complications. Preexisting anaemia was present in 35% of the MNM cases increasing their morbidity. CONCLUSION The maternal near miss ratio was 53.6/1000 live births, which is high. This can be attributed to the fact that our hospital is the only tertiary referral hospital in the hilly tribal district of Wayanad. Despite the MNM ratio being high, there were no cases of maternal death in this period. Low maternal mortality indicates the good first line of management given at the periphery hospital.

Estimating Potential Evapotranspiration by Missing Temperature Data Reconstruction

Directory of Open Access Journals (Sweden)

Eladio Delgadillo-Ruiz

2015-01-01

Full Text Available This work studies the statistical characteristics of potential evapotranspiration calculations and their relevance within the water balance used to determine water availability in hydrological basins. The purpose of this study was as follows: first, to apply a missing data reconstruction scheme in weather stations of the Rio Queretaro basin; second, to reduce the generated uncertainty of temperature data: mean, minimum, and maximum values in the evapotranspiration calculation which has a paramount importance in the manner of obtaining the water balance at any hydrological basin. The reconstruction of missing data was carried out in three steps: (1 application of a 4-parameter sinusoidal type regression to temperature data, (2 linear regression to residuals to obtain a regional behavior, and (3 estimation of missing temperature values for a certain year and during a certain season within the basin under study; estimated and observed temperature values were compared. Finally, using the obtained temperature values, the methods of Hamon, Papadakis, Blaney and Criddle, Thornthwaite, and Hargreaves were employed to calculate potential evapotranspiration that was compared to the real observed values in weather stations. With the results obtained from the application of this procedure, the surface water balance was corrected for the case study.

The History of Miss Jane Pittman

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Christopher Mulvey

2006-05-01

Full Text Available This paper explores the ways in which Ernest J. Gaines uses fiction in The Autobiography of Miss Jane Pittman to write a history of the African American from 1861 to 1961. The “Introduction” sets the novel going, but its direction has already been given in the unusual dedication to his grandmother, stepfather and aunt “who did not walk a day in her life but who taught me the importance of standing” (Gaines iv. The significance for Gaines is that what happened a hundred years ago is part of his present-day lived life.The nineteenth-century novel was possessed by history, and white nineteenth-century novelists found their great subject in the war of European nations that was fought between 1799 and 1815. But that was not an American war nor was it an African American war. For Gaines, the war that makes the great turning point of a nation and a people is the American Civil War, fought from 1861 to 1865. It resulted in a moment of history after which life would not be the same. However, one of the main points that Gaines makes about that great turning point in history is that everything changed and nothing changed. And his main fictional device to establish that truth is to tell the history of the hundred years since Emancipation as the story of one woman. Her autobiography becomes an ethno-biography.The continuity forwards from 1861 is given through the life of one woman, but Gaines’s uses another device to provide a continuity backwards from 1861. The young man who wants to get Miss Jane Pittman’s story upsets her with his persistence: “What you want know about Miss Jane for?’ Mary said. ‘I teach history,’ I said. ‘I’m sure her life’s story can help me explain things to my students.’ ‘What’s wrong with them books you already got?’ Mary said. ‘Miss Jane is not in them,’ I said” (Gaines v. Ernest J. Gaines wrote at a time when historians finally began to recognize that they could get no true history of the

Low Multilinear Rank Approximation of Tensors and Application in Missing Traffic Data

Directory of Open Access Journals (Sweden)

Huachun Tan

2014-02-01

Full Text Available The problem of missing data in multiway arrays (i.e., tensors is common in many fields such as bibliographic data analysis, image processing, and computer vision. We consider the problems of approximating a tensor by another tensor with low multilinear rank in the presence of missing data and possibly reconstructing it (i.e., tensor completion. In this paper, we propose a weighted Tucker model which models only the known elements for capturing the latent structure of the data and reconstructing the missing elements. To treat the nonuniqueness of the proposed weighted Tucker model, a novel gradient descent algorithm based on a Grassmann manifold, which is termed Tucker weighted optimization (Tucker-Wopt, is proposed for guaranteeing the global convergence to a local minimum of the problem. Based on extensive experiments, Tucker-Wopt is shown to successfully reconstruct tensors with noise and up to 95% missing data. Furthermore, the experiments on traffic flow volume data demonstrate the usefulness of our algorithm on real-world application.

Effect of personality development program for medical and nursing students: A pilot study

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Naresh Nebhinani

2015-01-01

Full Text Available Background: Personal development is an ongoing but complex process and it is crucial for the medical educator to recognize the trait and design the training for optimal development of students. Though importance of human personality is widely recognized for functional efficiency of an individual and organization, but its recognition is grossly missing from medical curriculum. Aim: To organize and evaluate the 'Personality Development Program' for medical and nursing students.Methods: First year medical and nursing students were recruited through total enumeration method. 'Personality development program' was conducted by a trained psychologist and it was evaluated through 'partially open ended anonymous structured feedback'.Results: Majority of the students found this program relevant, comprehensive and purposeful. Again majority had perceived some improvement in their confidence and level of communication, interpersonal relationships, planned time schedule, emotional confidence, and better stress management. They have also narrated shortcomings of the program along with some constructive suggestions.Conclusion: This preliminary attempt for personality development was highly appreciated by the students as well as their supervisors as a means to professional development. It further emphasizes the vital need of ongoing programs both for enhancing personality and professionalism.Key words: Personality development, enhancement, medical and nursing students

Older persons' worries expressed during home care visits: exploring the content of cues and concerns identified by the Verona coding definitions of emotional sequences.

NARCIS (Netherlands)

Hafskjold, L.; Eide, T.; Holmström, I.K.; Sundling, V.; Dulmen, S. van; Eide, H.

2016-01-01

Objective: Little is known about how older persons in home care express their concerns. Emotional cues and concerns can be identified by the Verona coding definitions of emotional sequences (VR-CoDES), but the method gives no insight into what causes the distress and the emotions involved. The aims

Determinants Of Missed Opportunities For Immunization Among ...

African Journals Online (AJOL)

Factors responsible for the missed opportunities included the attitude of the health worker, prolonged time of waiting to receive vaccine, immunization clashing with other schedules and transportation problem. Respondents' level ofknowledge on immunization and educational background were significantly associated with ...

Generalized canonical correlation analysis with missing values

NARCIS (Netherlands)

M. van de Velden (Michel); Y. Takane

2009-01-01

textabstractTwo new methods for dealing with missing values in generalized canonical correlation analysis are introduced. The first approach, which does not require iterations, is a generalization of the Test Equating method available for principal component analysis. In the second approach,

Identifying multidrug resistant tuberculosis transmission hotspots using routinely collected data12

Science.gov (United States)

Manjourides, Justin; Lin, Hsien-Ho; Shin, Sonya; Jeffery, Caroline; Contreras, Carmen; Cruz, Janeth Santa; Jave, Oswaldo; Yagui, Martin; Asencios, Luis; Pagano, Marcello; Cohen, Ted

2012-01-01

SUMMARY In most countries with large drug resistant tuberculosis epidemics, only those cases that are at highest risk of having MDRTB receive a drug sensitivity test (DST) at the time of diagnosis. Because of this prioritized testing, identification of MDRTB transmission hotspots in communities where TB cases do not receive DST is challenging, as any observed aggregation of MDRTB may reflect systematic differences in how testing is distributed in communities. We introduce a new disease mapping method, which estimates this missing information through probability–weighted locations, to identify geographic areas of increased risk of MDRTB transmission. We apply this method to routinely collected data from two districts in Lima, Peru over three consecutive years. This method identifies an area in the eastern part of Lima where previously untreated cases have increased risk of MDRTB. This may indicate an area of increased transmission of drug resistant disease, a finding that may otherwise have been missed by routine analysis of programmatic data. The risk of MDR among retreatment cases is also highest in these probable transmission hotspots, though a high level of MDR among retreatment cases is present throughout the study area. Identifying potential multidrug resistant tuberculosis (MDRTB) transmission hotspots may allow for targeted investigation and deployment of resources. PMID:22401962

Breast Cancer and Modifiable Lifestyle Factors in Argentinean Women: Addressing Missing Data in a Case-Control Study

Science.gov (United States)

Coquet, Julia Becaria; Tumas, Natalia; Osella, Alberto Ruben; Tanzi, Matteo; Franco, Isabella; Diaz, Maria Del Pilar

2016-01-01

A number of studies have evidenced the effect of modifiable lifestyle factors such as diet, breastfeeding and nutritional status on breast cancer risk. However, none have addressed the missing data problem in nutritional epidemiologic research in South America. Missing data is a frequent problem in breast cancer studies and epidemiological settings in general. Estimates of effect obtained from these studies may be biased, if no appropriate method for handling missing data is applied. We performed Multiple Imputation for missing values on covariates in a breast cancer case-control study of Córdoba (Argentina) to optimize risk estimates. Data was obtained from a breast cancer case control study from 2008 to 2015 (318 cases, 526 controls). Complete case analysis and multiple imputation using chained equations were the methods applied to estimate the effects of a Traditional dietary pattern and other recognized factors associated with breast cancer. Physical activity and socioeconomic status were imputed. Logistic regression models were performed. When complete case analysis was performed only 31% of women were considered. Although a positive association of Traditional dietary pattern and breast cancer was observed from both approaches (complete case analysis OR=1.3, 95%CI=1.0-1.7; multiple imputation OR=1.4, 95%CI=1.2-1.7), effects of other covariates, like BMI and breastfeeding, were only identified when multiple imputation was considered. A Traditional dietary pattern, BMI and breastfeeding are associated with the occurrence of breast cancer in this Argentinean population when multiple imputation is appropriately performed. Multiple Imputation is suggested in Latin America’s epidemiologic studies to optimize effect estimates in the future. PMID:27892664

A simple method for analyzing data from a randomized trial with a missing binary outcome

Directory of Open Access Journals (Sweden)

Freedman Laurence S

2003-05-01

Full Text Available Abstract Background Many randomized trials involve missing binary outcomes. Although many previous adjustments for missing binary outcomes have been proposed, none of these makes explicit use of randomization to bound the bias when the data are not missing at random. Methods We propose a novel approach that uses the randomization distribution to compute the anticipated maximum bias when missing at random does not hold due to an unobserved binary covariate (implying that missingness depends on outcome and treatment group. The anticipated maximum bias equals the product of two factors: (a the anticipated maximum bias if there were complete confounding of the unobserved covariate with treatment group among subjects with an observed outcome and (b an upper bound factor that depends only on the fraction missing in each randomization group. If less than 15% of subjects are missing in each group, the upper bound factor is less than .18. Results We illustrated the methodology using data from the Polyp Prevention Trial. We anticipated a maximum bias under complete confounding of .25. With only 7% and 9% missing in each arm, the upper bound factor, after adjusting for age and sex, was .10. The anticipated maximum bias of .25 × .10 =.025 would not have affected the conclusion of no treatment effect. Conclusion This approach is easy to implement and is particularly informative when less than 15% of subjects are missing in each arm.

Assessing the impact of upper limb disability following stroke: a qualitative enquiry using internet-based personal accounts of stroke survivors

Science.gov (United States)

Poltawski, Leon; Allison, Rhoda; Briscoe, Simon; Freeman, Jennifer; Kilbride, Cherry; Neal, Debbie; Turton, Ailie J.; Dean, Sarah

2016-01-01

Abstract Purpose: Upper limb disability following stroke may have multiple effects on the individual. Existing assessment instruments tend to focus on impairment and function and may miss other changes that are personally important. This study aimed to identify personally significant impacts of upper limb disability following stroke. Methods: Accounts by stroke survivors, in the form of web-based diaries (blogs) and stories, were sought using a blog search engine and in stroke-related web-sites. Thematic analysis using the World Health Organisation’s International Classification of Functioning Disability and Health (ICF) was used to identify personal impacts of upper limb disability following stroke. Results: Ninety-nine sources from at least four countries were analysed. Many impacts were classifiable using the ICF, but a number of additional themes emerged, including emotional, cognitive and behavioural changes. Blogs and other web-based accounts were easily accessible and rich sources of data, although using them raised several methodological issues, including potential sample bias. Conclusions: A range of impacts was identified, some of which (such as use of information technology and alienation from the upper limb) are not addressed in current assessment instruments. They should be considered in post-stroke assessments. Blogs may help in the development of more comprehensive assessments.Implications for RehabilitationA comprehensive assessment of the upper limb following stroke should include the impact of upper limb problems on social participation, as well as associated emotional, cognitive and behavioural changes.Using personalised assessment instruments alongside standardised measures may help ensure that these broader domains are considered in discussions between clinicians and patients.Rehabilitation researchers should investigate whether and how these domains could be addressed and operationalised in standard upper limb assessment instruments. PMID

An Improved Fuzzy Based Missing Value Estimation in DNA Microarray Validated by Gene Ranking

Directory of Open Access Journals (Sweden)

Sujay Saha

2016-01-01

Full Text Available Most of the gene expression data analysis algorithms require the entire gene expression matrix without any missing values. Hence, it is necessary to devise methods which would impute missing data values accurately. There exist a number of imputation algorithms to estimate those missing values. This work starts with a microarray dataset containing multiple missing values. We first apply the modified version of the fuzzy theory based existing method LRFDVImpute to impute multiple missing values of time series gene expression data and then validate the result of imputation by genetic algorithm (GA based gene ranking methodology along with some regular statistical validation techniques, like RMSE method. Gene ranking, as far as our knowledge, has not been used yet to validate the result of missing value estimation. Firstly, the proposed method has been tested on the very popular Spellman dataset and results show that error margins have been drastically reduced compared to some previous works, which indirectly validates the statistical significance of the proposed method. Then it has been applied on four other 2-class benchmark datasets, like Colorectal Cancer tumours dataset (GDS4382, Breast Cancer dataset (GSE349-350, Prostate Cancer dataset, and DLBCL-FL (Leukaemia for both missing value estimation and ranking the genes, and the results show that the proposed method can reach 100% classification accuracy with very few dominant genes, which indirectly validates the biological significance of the proposed method.

Materials International Space Station Experiment (MISSE): Overview, Accomplishments and Future Needs

Science.gov (United States)

deGroh, Kim K.; Jaworske, Donald A.; Pippin, Gary; Jenkins, Philip P.; Walters, Robert J.; Thibeault, Sheila A.; Palusinski, Iwona; Lorentzen, Justin R.

2014-01-01

Materials and devices used on the exterior of spacecraft in low Earth orbit (LEO) are subjected to environmental threats that can cause degradation in material properties, possibly threatening spacecraft mission success. These threats include: atomic oxygen (AO), ultraviolet and x-ray radiation, charged particle radiation, temperature extremes and thermal cycling, micrometeoroid and debris impacts, and contamination. Space environmental threats vary greatly based on spacecraft materials, thicknesses and stress levels, and the mission environment and duration. For more than a decade the Materials International Space Station Experiment (MISSE) has enabled the study of the long duration environmental durability of spacecraft materials in the LEO environment. The overall objective of MISSE is to test the stability and durability of materials and devices in the space environment in order to gain valuable knowledge on the performance of materials in space, as well as to enable lifetime predictions of new materials that may be used in future space flight. MISSE is a series of materials flight experiments, which are attached to the exterior of the International Space Station (ISS). Individual experiments were loaded onto suitcase-like trays, called Passive Experiment Containers (PECs). The PECs were transported to the ISS in the Space Shuttle cargo bay and attached to, and removed from, the ISS during extravehicular activities (EVAs). The PECs were retrieved after one or more years of space exposure and returned to Earth enabling post-flight experiment evaluation. MISSE is a multi-organization project with participants from the National Aeronautics and Space Administration (NASA), the Department of Defense (DoD), industry and academia. MISSE has provided a platform for environmental durability studies for thousands of samples and numerous devices, and it has produced many tangible impacts. Ten PECs (and one smaller tray) have been flown, representing MISSE 1 through MISSE

Generalized canonical correlation analysis of matrices with missing rows : A simulation study

NARCIS (Netherlands)

van de Velden, Michel; Bijmolt, Tammo H. A.

A method is presented for generalized canonical correlation analysis of two or more matrices with missing rows. The method is a combination of Carroll's (1968) method and the missing data approach of the OVERALS technique (Van der Burg, 1988). In a simulation study we assess the performance of the

The mystery of Japan's missing centenarians explained

Directory of Open Access Journals (Sweden)

Yasuhiko Saito

2012-03-01

Full Text Available This report elucidates the issue of Japan's missing centenarians, which was uncovered in 2010. We provide the latest figures from verification efforts, discuss sources of centenarian information in Japan, examine possible causes, and evaluate the effect of the missing centenarians on official statistics. In Japan 234,354 people registered before 1910 remained on the family registers in 2010, without being crossed out. They would have been 100 years old at least and represent 0.5Š of the births recorded between 1872 and 1910. The impact of this group on life expectancy statistics, however, is effectively nil.

Project Engage: Snowball Sampling and Direct Recruitment to Identify and Link Hard-to-Reach HIV-Infected Persons Who Are Out of Care.

Science.gov (United States)

Wohl, Amy Rock; Ludwig-Barron, Natasha; Dierst-Davies, Rhodri; Kulkarni, Sonali; Bendetson, Jesse; Jordan, Wilbert; Bolan, Robert; Smith, Terry; Cunningham, William; Pérez, Mario J

2017-06-01

Innovative strategies are needed to identify and link hard-to-find persons living with HIV (PLWH) who are out of care (OOC). Project Engage, a health department-based project in Los Angeles County, used a mixed-methods approach to locate and provide linkage for PLWH who have limited contact with HIV medical and nonmedical services. Incentivized social network recruitment (SNR) and direct recruitment (DR) was used to identify eligible OOC alters for a linkage intervention that included HIV clinic selection, appointment and transportation support, reminder calls/texts, and clinic navigation. Between 2012 and 2015, 112 alters were identified using SNR (n = 74) and DR (n = 38). Most alters were male (80%), African American (38%), and gay (60%). Sizable percentages were homeless (78%), had engaged in sex work (32%) in the previous 6 months, had injected drugs (47%), were incarcerated in the previous 12 months (50%), and had only received HIV care during the previous 5 years while incarcerated (24%). SNR alters were more likely than DR alters to be African American, uninsured, unemployed, homeless, sex workers, injection drug users, recently incarcerated, and have unmet service needs. Alters linked to care within 3 (69%), 4-6 (5%), and 7-12 months (8%), and 72% were retained at 6-12 months. The percent virally suppressed increased (27% vs. 41%) and the median viral load decreased (P = 0.003) between linkage and follow-up at 6-12 months. The alternative approaches presented were effective at locating marginalized HIV-positive persons who are OOC for linkage and retention. The SNR approach was most successful at identifying alters with serious social challenges and gaps in needed medical/ancillary services.

Near-misses are an opportunity to improve patient safety: adapting strategies of high reliability organizations to healthcare.

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Van Spall, Harriette; Kassam, Alisha; Tollefson, Travis T

2015-08-01

Near-miss investigations in high reliability organizations (HROs) aim to mitigate risk and improve system safety. Healthcare settings have a higher rate of near-misses and subsequent adverse events than most high-risk industries, but near-misses are not systematically reported or analyzed. In this review, we will describe the strategies for near-miss analysis that have facilitated a culture of safety and continuous quality improvement in HROs. Near-miss analysis is routine and systematic in HROs such as aviation. Strategies implemented in aviation include the Commercial Aviation Safety Team, which undertakes systematic analyses of near-misses, so that findings can be incorporated into Standard Operating Procedures (SOPs). Other strategies resulting from incident analyses include Crew Resource Management (CRM) for enhanced communication, situational awareness training, adoption of checklists during operations, and built-in redundancy within systems. Health care organizations should consider near-misses as opportunities for quality improvement. The systematic reporting and analysis of near-misses, commonplace in HROs, can be adapted to health care settings to prevent adverse events and improve clinical outcomes.

Use of a Pre-Insertion Resistor to Minimize Zero-Missing Phenomenon and Switching Overvoltages

DEFF Research Database (Denmark)

Bak, Claus Leth; da Silva, Filipe Miguel Faria; Gudmundsdottir, Unnur Stella

2009-01-01

With the increasing use of High-Voltage Cables, which have different electric characteristics from Overhead Lines, phenomenon like current zero-missing start to appear more often on the transmission systems. Methods to prevent zero-missing phenomenon are still being studied and compared to see wh...... an optimal value of the resistance of the pre-insertion resistor that results in minimizing both the zero-missing phenomenon and switching overvoltages simultaneously....

Personalized professional content recommendation

Science.gov (United States)

Xu, Songhua

2015-10-27

A personalized content recommendation system includes a client interface configured to automatically monitor a user's information data stream transmitted on the Internet. A hybrid contextual behavioral and collaborative personal interest inference engine resident to a non-transient media generates automatic predictions about the interests of individual users of the system. A database server retains the user's personal interest profile based on a plurality of monitored information. The system also includes a server programmed to filter items in an incoming information stream with the personal interest profile and is further programmed to identify only those items of the incoming information stream that substantially match the personal interest profile.

Missed posterior dislocation of the hip in a head-injured patient with ...

African Journals Online (AJOL)

Background: Head injury increases the risk of missed diagnosis by making patient-derived history impossible. The risk of missing a posterior dislocation of the hip in a head-injured patient is aggravated when an ipsilateral femoral shaft fracture co-exists. Adequate radiological evaluation of bone and joints is therefore of ...

Avoidant personality disorder is a separable schizophrenia-spectrum personality disorder even when controlling for the presence of paranoid and schizotypal personality disorders The UCLA family study.

Science.gov (United States)

Fogelson, D L; Nuechterlein, K H; Asarnow, R A; Payne, D L; Subotnik, K L; Jacobson, K C; Neale, M C; Kendler, K S

2007-03-01

It is unresolved whether avoidant personality disorder (APD) is an independent schizophrenia (Sz)-spectrum personality disorder (PD). Some studies find APD and social anxiety symptoms (Sxs) to be separable dimensions of psychopathology in relatives (Rels) of schizophrenics while other studies find avoidant Sxs to be correlated with schizotypal and paranoid Sxs. Rates of APD among first-degree Rels of Sz probands, attention-deficit/hyperactivity disorder (ADHD) probands, and community control (CC) probands were examined. Further analyses examined rates when controlling for the presence of schizotypal (SPD) and paranoid (PPD) personality disorders, differences in APD Sxs between relative groups, and whether APD in Rels of Szs reflects a near miss for another Sz-spectrum PD. Three hundred sixty-two first-degree Rels of Sz probands, 201 relatives of ADHD probands, and 245 Rels of CC probands were interviewed for the presence of DSM-III-R Axis I and II disorders. Diagnoses, integrating family history, interview information, and medical records, were determined. APD occurred more frequently in Rels of Sz probands compared to CC probands (pavoids social or occupational activities..." and "exaggerates the potential difficulties..." 65% of the Rels of Sz probands who had diagnoses of APD were more than one criterion short of a DSM-III-R diagnosis of either SPD or PPD. This indicates that APD is a separate Sz-spectrum disorder, and not merely a sub-clinical form of SPD or PPD.

Amplification of DNA mixtures--Missing data approach