Karoshi--death from overwork: occupational health consequences of Japanese production management.

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Nishiyama, K; Johnson, J V

1997-01-01

There is considerable international interest in Japanese production management (JPM), known in the West as "lean production." Advocates of this new form of management argue that it improves both economic productivity and health. In Japan, however, the relationship between JPM and sudden death due to cardiovascular and cerebrovascular disease has been an important topic of debate since the 1970s. Japanese have named these types of deaths karoshi, which means "death from overwork." In North America and Western Europe a number of studies have demonstrated a significant relationship between high job strain (high production demands and low levels of control and social support) and cardiovascular disease. This article reviews the elements of JPM and examines their potential health consequences. The authors present an overview of karoshi, discuss its possible connections to specific ideological and organizational characteristics of JPM, and suggest the job strain mechanism as a possible pathway between karoshi and JPM. They conclude by discussing the need for comparative research that examines the health effects of work organization and management methods cross-culturally.

Predictive Manufacturing: A Classification Strategy to Predict Product Failures

DEFF Research Database (Denmark)

Khan, Abdul Rauf; Schiøler, Henrik; Kulahci, Murat

2018-01-01

manufacturing analytics model that employs a big data approach to predicting product failures; third, we illustrate the issue of high dimensionality, along with statistically redundant information; and, finally, our proposed method will be compared against the well-known classification methods (SVM, K......-nearest neighbor, artificial neural networks). The results from real data show that our predictive manufacturing analytics approach, using genetic algorithms and Voronoi tessellations, is capable of predicting product failure with reasonable accuracy. The potential application of this method contributes...... to accurately predicting product failures, which would enable manufacturers to reduce production costs without compromising product quality....

Development of a Clinical Tool to Predict Home Death of a Discharged Cancer Patient in Japan: a Case-Control Study.

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Fukui, Sakiko; Morita, Tatsuya; Yoshiuchi, Kazuhiro

2017-08-01

The aim of this study was to investigate the predictive value of a clinical tool to predict whether discharged cancer patients die at home, comparing groups of case who died at home and control who died in hospitals or other facilities. We conducted a nationwide case-control study to identify the determinants of home death for a discharged cancer patient. We randomly selected nurses in charge of 2000 home-visit nursing agencies from all 5813 agencies in Japan by referring to the nationwide databases in January 2013. The nurses were asked to report variables of their patients' place of death, patients' and caregivers' clinical statuses, and their preferences for home death. We used logistic regression analysis and developed a clinical tool to accurately predict it and investigated their predictive values. We identified 466 case and 478 control patients. Five predictive variables of home death were obtained: patients' and caregivers' preferences for home death [OR (95% CI) 2.66 (1.99-3.55)], availability of visiting physicians [2.13 (1.67-2.70)], 24-h contact between physicians and nurses [1.68 (1.30-2.18)], caregivers' experiences of deathwatch at home [1.41 (1.13-1.75)], and patients' insights as to their own prognosis [1.23 (1.02-1.50)]. We calculated the scores predicting home death for each variable (range 6-28). When using a cutoff point of 16, home death was predicted with a sensitivity of 0.72 and a specificity of 0.81 with the Harrell's c-statistic of 0.84. This simple clinical tool for healthcare professionals can help predict whether a discharged patient is likely to die at home.

Combined Prediction Model of Death Toll for Road Traffic Accidents Based on Independent and Dependent Variables

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Feng Zhong-xiang

2014-01-01

Full Text Available In order to build a combined model which can meet the variation rule of death toll data for road traffic accidents and can reflect the influence of multiple factors on traffic accidents and improve prediction accuracy for accidents, the Verhulst model was built based on the number of death tolls for road traffic accidents in China from 2002 to 2011; and car ownership, population, GDP, highway freight volume, highway passenger transportation volume, and highway mileage were chosen as the factors to build the death toll multivariate linear regression model. Then the two models were combined to be a combined prediction model which has weight coefficient. Shapley value method was applied to calculate the weight coefficient by assessing contributions. Finally, the combined model was used to recalculate the number of death tolls from 2002 to 2011, and the combined model was compared with the Verhulst and multivariate linear regression models. The results showed that the new model could not only characterize the death toll data characteristics but also quantify the degree of influence to the death toll by each influencing factor and had high accuracy as well as strong practicability.

Combined prediction model of death toll for road traffic accidents based on independent and dependent variables.

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Feng, Zhong-xiang; Lu, Shi-sheng; Zhang, Wei-hua; Zhang, Nan-nan

2014-01-01

In order to build a combined model which can meet the variation rule of death toll data for road traffic accidents and can reflect the influence of multiple factors on traffic accidents and improve prediction accuracy for accidents, the Verhulst model was built based on the number of death tolls for road traffic accidents in China from 2002 to 2011; and car ownership, population, GDP, highway freight volume, highway passenger transportation volume, and highway mileage were chosen as the factors to build the death toll multivariate linear regression model. Then the two models were combined to be a combined prediction model which has weight coefficient. Shapley value method was applied to calculate the weight coefficient by assessing contributions. Finally, the combined model was used to recalculate the number of death tolls from 2002 to 2011, and the combined model was compared with the Verhulst and multivariate linear regression models. The results showed that the new model could not only characterize the death toll data characteristics but also quantify the degree of influence to the death toll by each influencing factor and had high accuracy as well as strong practicability.

Readmissions and death after ICU discharge: development and validation of two predictive models.

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Omar Badawi

Full Text Available INTRODUCTION: Early discharge from the ICU is desirable because it shortens time in the ICU and reduces care costs, but can also increase the likelihood of ICU readmission and post-discharge unanticipated death if patients are discharged before they are stable. We postulated that, using eICU® Research Institute (eRI data from >400 ICUs, we could develop robust models predictive of post-discharge death and readmission that may be incorporated into future clinical information systems (CIS to assist ICU discharge planning. METHODS: Retrospective, multi-center, exploratory cohort study of ICU survivors within the eRI database between 1/1/2007 and 3/31/2011. EXCLUSION CRITERIA: DNR or care limitations at ICU discharge and discharge to location external to hospital. Patients were randomized (2∶1 to development and validation cohorts. Multivariable logistic regression was performed on a broad range of variables including: patient demographics, ICU admission diagnosis, admission severity of illness, laboratory values and physiologic variables present during the last 24 hours of the ICU stay. Multiple imputation was used to address missing data. The primary outcomes were the area under the receiver operator characteristic curves (auROC in the validation cohorts for the models predicting readmission and death within 48 hours of ICU discharge. RESULTS: 469,976 and 234,987 patients representing 219 hospitals were in the development and validation cohorts. Early ICU readmission and death was experienced by 2.54% and 0.92% of all patients, respectively. The relationship between predictors and outcomes (death vs readmission differed, justifying the need for separate models. The models for early readmission and death produced auROCs of 0.71 and 0.92, respectively. Both models calibrated well across risk groups. CONCLUSIONS: Our models for death and readmission after ICU discharge showed good to excellent discrimination and good calibration. Although

Observed versus predicted cardiovascular events and all-cause death in HIV infection: a longitudinal cohort study.

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De Socio, Giuseppe Vittorio; Pucci, Giacomo; Baldelli, Franco; Schillaci, Giuseppe

2017-06-12

The aim of the study was to assess the applicability of an algorithm predicting 10-year cardiovascular disease (CVD) generated in the setting of the Framingham Heart Study to a real-life, contemporary Italian cohort of HIV-positive subjects. The study was an observational longitudinal cohort study. The probability for 10-year CVD events according to the Framingham algorithm was assessed in 369 consecutive HIV-positive participants free from overt CVD enrolled in 2004, who were followed for a median of 10.0 years (interquartile range, 9.1-10.1). Cardiovascular events included myocardial infarction, hospitalized heart failure, revascularized angina, sudden cardiac death, stroke, peripheral arterial disease. Over 3097 person-years of observation, we observed a total of 34 CVD events, whereas Framingham algorithm predicted the occurrence of 34.3 CVD events. CVD event rate was 11.0/1000 person-years of follow-up. In a receiver operating characteristics curve analysis, Framingham risk equation showed an excellent predictive value for incident CVD events (c-statistics, 0.83; 95% confidence interval, 0.76-0.90). In a multivariable Cox analysis, age, smoking and diabetes were independent predictors of CVD events. All-cause death rate was 20.0/1000 person-years of follow-up (n = 62 deaths). Causes of death included liver diseases (18), malignancies (14), AIDS-related (11); cardiovascular (9) and others (10). In a Cox analysis, age, AIDS diagnosis and chronic hepatitis were independent predictors of death. Observed CVD events in HIV-infected patients were well predicted by Framingham algorithm. Established major CVD risk factors are the strongest determinants of CVD morbidity in an Italian contemporary cohort of HIV-positive subjects. Interventions to modify traditional risk factors are urgently needed in HIV people.

Trends, productivity losses, and associated medical conditions among toxoplasmosis deaths in the United States, 2000-2010.

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Cummings, Patricia L; Kuo, Tony; Javanbakht, Marjan; Sorvillo, Frank

2014-11-01

Few studies have quantified toxoplasmosis mortality, associated medical conditions, and productivity losses in the United States. We examined national multiple cause of death data and estimated productivity losses caused by toxoplasmosis during 2000-2010. A matched case-control analysis examined associations between comorbid medical conditions and toxoplasmosis deaths. In total, 789 toxoplasmosis deaths were identified during the 11-year study period. Blacks and Hispanics had the highest toxoplasmosis mortality compared with whites. Several medical conditions were associated with toxoplasmosis deaths, including human immunodeficiency virus (HIV), lymphoma, leukemia, and connective tissue disorders. The number of toxoplasmosis deaths with an HIV codiagnosis declined from 2000 to 2010; the numbers without such a codiagnosis remained static. Cumulative disease-related productivity losses for the 11-year period were nearly $815 million. Although toxoplasmosis mortality has declined in the last decade, the infection remains costly and is an important cause of preventable death among non-HIV subgroups. © The American Society of Tropical Medicine and Hygiene.

Adolescent expectations of early death predict adult risk behaviors.

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Quynh C Nguyen

Full Text Available Only a handful of public health studies have investigated expectations of early death among adolescents. Associations have been found between these expectations and risk behaviors in adolescence. However, these beliefs may not only predict worse adolescent outcomes, but worse trajectories in health with ties to negative outcomes that endure into young adulthood. The objectives of this study were to investigate perceived chances of living to age 35 (Perceived Survival Expectations, PSE as a predictor of suicidal ideation, suicide attempt and substance use in young adulthood. We examined the predictive capacity of PSE on future suicidal ideation/attempt after accounting for sociodemographics, depressive symptoms, and history of suicide among family and friends to more fully assess its unique contribution to suicide risk. We investigated the influence of PSE on legal and illegal substance use and varying levels of substance use. We utilized the National Longitudinal Study of Adolescent Health (Add Health initiated in 1994-95 among 20,745 adolescents in grades 7-12 with follow-up interviews in 1996 (Wave II, 2001-02 (Wave III and 2008 (Wave IV; ages 24-32. Compared to those who were almost certain of living to age 35, perceiving a 50-50 or less chance of living to age 35 at Waves I or III predicted suicide attempt and ideation as well as regular substance use (i.e., exceeding daily limits for moderate drinking; smoking ≥ a pack/day; and using illicit substances other than marijuana at least weekly at Wave IV. Associations between PSE and detrimental adult outcomes were particularly strong for those reporting persistently low PSE at both Waves I and III. Low PSE at Wave I or Wave III was also related to a doubling and tripling, respectively, of death rates in young adulthood. Long-term and wide-ranging ties between PSE and detrimental outcomes suggest these expectations may contribute to identifying at-risk youth.

Comparison of joint modeling and landmarking for dynamic prediction under an illness-death model.

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Suresh, Krithika; Taylor, Jeremy M G; Spratt, Daniel E; Daignault, Stephanie; Tsodikov, Alexander

2017-11-01

Dynamic prediction incorporates time-dependent marker information accrued during follow-up to improve personalized survival prediction probabilities. At any follow-up, or "landmark", time, the residual time distribution for an individual, conditional on their updated marker values, can be used to produce a dynamic prediction. To satisfy a consistency condition that links dynamic predictions at different time points, the residual time distribution must follow from a prediction function that models the joint distribution of the marker process and time to failure, such as a joint model. To circumvent the assumptions and computational burden associated with a joint model, approximate methods for dynamic prediction have been proposed. One such method is landmarking, which fits a Cox model at a sequence of landmark times, and thus is not a comprehensive probability model of the marker process and the event time. Considering an illness-death model, we derive the residual time distribution and demonstrate that the structure of the Cox model baseline hazard and covariate effects under the landmarking approach do not have simple form. We suggest some extensions of the landmark Cox model that should provide a better approximation. We compare the performance of the landmark models with joint models using simulation studies and cognitive aging data from the PAQUID study. We examine the predicted probabilities produced under both methods using data from a prostate cancer study, where metastatic clinical failure is a time-dependent covariate for predicting death following radiation therapy. © 2017 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

The association of culling and death rate within 30 days after calving with productivity or reproductive performance in dairy herds in Fukuoka, Southern Japan.

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Goto, Akira; Nakada, Ken; Katamoto, Hiromu

2016-05-03

The incidence of peripartum disorders in dairy herds negatively influences productivity and reproductive performance. Concrete data from local areas are helpful for explaining the importance of peripartum management to dairy farmers. This study was conducted to clarify the association of culling and death rate within 30 days after calving with productivity or reproductive performance in 179 dairy herds in Fukuoka, Southern Japan. A database was compiled from the records of the Livestock Improvement Association of Japan, the Dairy Cooperative Association and the Federation of Agricultural Mutual Relief Association. In this study, we created a comprehensive database of dairy farm production data for epidemiological analysis and used a general linear mixed model to analyze the association of culling and death rate within 30 days after calving with milk production or reproductive performance. The database can be used to describe, analyze and predict the risk of production. A cross-sectional analysis with contrasts was applied to investigate the association of cows served by AI/all cows, pregnant cows/cows served by AI, days open, milk yield and somatic cell counts with culling and death rate within 30 days after calving. The days open value significantly increased with increasing rate of culling and death within 30 days after calving (P for trend <0.001). No significant differences were found for the other comparisons. Our data suggest that proper feeding and management in the dry period may lead to improved postpartum reproductive performance in this dairy cow cohort.

Trends, Productivity Losses, and Associated Medical Conditions Among Toxoplasmosis Deaths in the United States, 2000–2010

Science.gov (United States)

Cummings, Patricia L.; Kuo, Tony; Javanbakht, Marjan; Sorvillo, Frank

2014-01-01

Few studies have quantified toxoplasmosis mortality, associated medical conditions, and productivity losses in the United States. We examined national multiple cause of death data and estimated productivity losses caused by toxoplasmosis during 2000–2010. A matched case–control analysis examined associations between comorbid medical conditions and toxoplasmosis deaths. In total, 789 toxoplasmosis deaths were identified during the 11-year study period. Blacks and Hispanics had the highest toxoplasmosis mortality compared with whites. Several medical conditions were associated with toxoplasmosis deaths, including human immunodeficiency virus (HIV), lymphoma, leukemia, and connective tissue disorders. The number of toxoplasmosis deaths with an HIV codiagnosis declined from 2000 to 2010; the numbers without such a codiagnosis remained static. Cumulative disease-related productivity losses for the 11-year period were nearly $815 million. Although toxoplasmosis mortality has declined in the last decade, the infection remains costly and is an important cause of preventable death among non-HIV subgroups. PMID:25200264

Alternative research funding to improve clinical outcomes: model of prediction and prevention of sudden cardiac death.

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Myerburg, Robert J; Ullmann, Steven G

2015-04-01

Although identification and management of cardiovascular risk markers have provided important population risk insights and public health benefits, individual risk prediction remains challenging. Using sudden cardiac death risk as a base case, the complex epidemiology of sudden cardiac death risk and the substantial new funding required to study individual risk are explored. Complex epidemiology derives from the multiple subgroups having different denominators and risk profiles, while funding limitations emerge from saturation of conventional sources of research funding without foreseeable opportunities for increases. A resolution to this problem would have to emerge from new sources of funding targeted to individual risk prediction. In this analysis, we explore the possibility of a research funding strategy that would offer business incentives to the insurance industries, while providing support for unresolved research goals. The model is developed for the case of sudden cardiac death risk, but the concept is applicable to other areas of the medical enterprise. © 2015 American Heart Association, Inc.

Predicting death from kala-azar: construction, development, and validation of a score set and accompanying software.

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Costa, Dorcas Lamounier; Rocha, Regina Lunardi; Chaves, Eldo de Brito Ferreira; Batista, Vivianny Gonçalves de Vasconcelos; Costa, Henrique Lamounier; Costa, Carlos Henrique Nery

2016-01-01

Early identification of patients at higher risk of progressing to severe disease and death is crucial for implementing therapeutic and preventive measures; this could reduce the morbidity and mortality from kala-azar. We describe a score set composed of four scales in addition to software for quick assessment of the probability of death from kala-azar at the point of care. Data from 883 patients diagnosed between September 2005 and August 2008 were used to derive the score set, and data from 1,031 patients diagnosed between September 2008 and November 2013 were used to validate the models. Stepwise logistic regression analyses were used to derive the optimal multivariate prediction models. Model performance was assessed by its discriminatory accuracy. A computational specialist system (Kala-Cal(r)) was developed to speed up the calculation of the probability of death based on clinical scores. The clinical prediction score showed high discrimination (area under the curve [AUC] 0.90) for distinguishing death from survival for children ≤2 years old. Performance improved after adding laboratory variables (AUC 0.93). The clinical score showed equivalent discrimination (AUC 0.89) for older children and adults, which also improved after including laboratory data (AUC 0.92). The score set also showed a high, although lower, discrimination when applied to the validation cohort. This score set and Kala-Cal(r) software may help identify individuals with the greatest probability of death. The associated software may speed up the calculation of the probability of death based on clinical scores and assist physicians in decision-making.

The paradox of verbal autopsy in cause of death assignment: symptom question unreliability but predictive accuracy.

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Serina, Peter; Riley, Ian; Hernandez, Bernardo; Flaxman, Abraham D; Praveen, Devarsetty; Tallo, Veronica; Joshi, Rohina; Sanvictores, Diozele; Stewart, Andrea; Mooney, Meghan D; Murray, Christopher J L; Lopez, Alan D

2016-01-01

We believe that it is important that governments understand the reliability of the mortality data which they have at their disposable to guide policy debates. In many instances, verbal autopsy (VA) will be the only source of mortality data for populations, yet little is known about how the accuracy of VA diagnoses is affected by the reliability of the symptom responses. We previously described the effect of the duration of time between death and VA administration on VA validity. In this paper, using the same dataset, we assess the relationship between the reliability and completeness of symptom responses and the reliability and accuracy of cause of death (COD) prediction. The study was based on VAs in the Population Health Metrics Research Consortium (PHMRC) VA Validation Dataset from study sites in Bohol and Manila, Philippines and Andhra Pradesh, India. The initial interview was repeated within 3-52 months of death. Question responses were assessed for reliability and completeness between the two survey rounds. COD was predicted by Tariff Method. A sample of 4226 VAs was collected for 2113 decedents, including 1394 adults, 349 children, and 370 neonates. Mean question reliability was unexpectedly low ( kappa  = 0.447): 42.5 % of responses positive at the first interview were negative at the second, and 47.9 % of responses positive at the second had been negative at the first. Question reliability was greater for the short form of the PHMRC instrument ( kappa  = 0.497) and when analyzed at the level of the individual decedent ( kappa  = 0.610). Reliability at the level of the individual decedent was associated with COD predictive reliability and predictive accuracy. Families give coherent accounts of events leading to death but the details vary from interview to interview for the same case. Accounts are accurate but inconsistent; different subsets of symptoms are identified on each occasion. However, there are sufficient accurate and consistent

Nitric oxide production is not required for dihydrosphingosine-induced cell death in tobacco BY-2 cells.

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Da Silva, Daniel; Lachaud, Christophe; Cotelle, Valérie; Brière, Christian; Grat, Sabine; Mazars, Christian; Thuleau, Patrice

2011-05-01

Sphinganine or dihydrosphingosine (d18:0, DHS), one of the most abundant free sphingoid Long Chain Base (LCB) in plants, is known to induce a calcium dependent programmed cell death (PCD) in tobacco BY-2 cells. In addition, we have recently shown that DHS triggers a production of H2O2, via the activation of NADPH oxidase(s). However, this production of H2O2 is not correlated with the DHS-induced cell death but would rather be associated with basal cell defense mechanisms. In the present study, we extend our current knowledge of the DHS signaling pathway, by demonstrating that DHS also promotes a production of nitric oxide (NO) in tobacco BY-2 cells. As for H2O2, this NO production is not necessary for cell death induction. 

Risk prediction of cardiovascular death based on the QTc interval

DEFF Research Database (Denmark)

Nielsen, Jonas B; Graff, Claus; Rasmussen, Peter V

2014-01-01

electrocardiograms from 173 529 primary care patients aged 50-90 years were collected during 2001-11. The Framingham formula was used for heart rate-correction of the QT interval. Data on medication, comorbidity, and outcomes were retrieved from administrative registries. During a median follow-up period of 6......AIMS: Using a large, contemporary primary care population we aimed to provide absolute long-term risks of cardiovascular death (CVD) based on the QTc interval and to test whether the QTc interval is of value in risk prediction of CVD on an individual level. METHODS AND RESULTS: Digital...

Discrete event simulation model of sudden cardiac death predicts high impact of preventive interventions.

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Andreev, Victor P; Head, Trajen; Johnson, Neil; Deo, Sapna K; Daunert, Sylvia; Goldschmidt-Clermont, Pascal J

2013-01-01

Sudden Cardiac Death (SCD) is responsible for at least 180,000 deaths a year and incurs an average cost of $286 billion annually in the United States alone. Herein, we present a novel discrete event simulation model of SCD, which quantifies the chains of events associated with the formation, growth, and rupture of atheroma plaques, and the subsequent formation of clots, thrombosis and on-set of arrhythmias within a population. The predictions generated by the model are in good agreement both with results obtained from pathological examinations on the frequencies of three major types of atheroma, and with epidemiological data on the prevalence and risk of SCD. These model predictions allow for identification of interventions and importantly for the optimal time of intervention leading to high potential impact on SCD risk reduction (up to 8-fold reduction in the number of SCDs in the population) as well as the increase in life expectancy.

Predicting product life cycle using fuzzy neural network

Directory of Open Access Journals (Sweden)

Ali Mohammadi

2014-09-01

Full Text Available One of the most important tasks of science in different fields is to find the relationships among various phenomena in order to predict future. Production and service organizations are not exceptions and they should predict future to survive. Predicting the life cycle of the organization's products is one of the most important prediction cases in an organization. Predicting the product life cycle provides an opportunity to identify the product position and help to get a better insight about competitors. This paper deals with the predictability of the product life cycle with Adaptive Network-Based Fuzzy Inference System (ANFIS. The Population of this study was Pegah Fars products and the sample was this company's cheese products. In this regard, this paper attempts to model and predict the product life cycle of cheese products in Pegah Fars Company. In this due, a designed questionnaire was distributed among some experts, distributors and retailers and seven independent variables were selected. In this survey, ANFIS sales forecasting technique was employed and MATLAB software was used for data analysis. The results confirmed ANFIS as a good method to predict the product life cycle.

Predicting in-hospital death during acute presentation with pulmonary embolism to facilitate early discharge and outpatient management.

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Jerrett K Lau

Full Text Available Pulmonary embolism continues to be a significant cause of death. The aim was to derive and validate a risk prediction model for in-hospital death after acute pulmonary embolism to identify low risk patients suitable for outpatient management.A confirmed acute pulmonary embolism database of 1,426 consecutive patients admitted to a tertiary-center (2000-2012 was analyzed, with odd and even years as derivation and validation cohorts respectively. Risk stratification for in-hospital death was performed using multivariable logistic-regression modelling. Models were compared using receiver-operating characteristic-curve and decision curve analyses.In-hospital mortality was 3.6% in the derivation cohort (n = 693. Adding day-1 sodium and bicarbonate to simplified Pulmonary Embolism Severity Index (sPESI significantly increased the C-statistic for predicting in-hospital death (0.71 to 0.86, P = 0.001. The validation cohort yielded similar results (n = 733, C-statistic 0.85. The new model was associated with a net reclassification improvement of 0.613, and an integrated discrimination improvement of 0.067. The new model also increased the C-statistic for predicting 30-day mortality compared to sPESI alone (0.74 to 0.83, P = 0.002. Decision curve analysis demonstrated superior clinical benefit with the use of the new model to guide admission for pulmonary embolism, resulting in 43 fewer admissions per 100 presentations based on a risk threshold for admission of 2%.A risk model incorporating sodium, bicarbonate, and the sPESI provides accurate risk prediction of acute in-hospital mortality after pulmonary embolism. Our novel model identifies patients with pulmonary embolism who are at low risk and who may be suitable for outpatient management.

Time to Death after Terminal Withdrawal of Mechanical Ventilation: Specific Respiratory and Physiologic Parameters May Inform Physician Predictions.

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Long, Ann C; Muni, Sarah; Treece, Patsy D; Engelberg, Ruth A; Nielsen, Elizabeth L; Fitzpatrick, Annette L; Curtis, J Randall

2015-12-01

Discussions about withdrawal of life-sustaining therapies often include family members of critically ill patients. These conversations should address essential components of the dying process, including expected time to death after withdrawal. The study objective was to aid physician communication about the dying process by identifying predictors of time to death after terminal withdrawal of mechanical ventilation. We conducted an observational analysis from a single-center, before-after evaluation of an intervention to improve palliative care. We studied 330 patients who died after terminal withdrawal of mechanical ventilation. Predictors included patient demographics, laboratory, respiratory, and physiologic variables, and medication use. The median time to death for the entire cohort was 0.58 hours (interquartile range (IQR) 0.22-2.25 hours) after withdrawal of mechanical ventilation. Using Cox regression, independent predictors of shorter time to death included higher positive end-expiratory pressure (per 1 cm H2O hazard ratio [HR], 1.07; 95% CI 1.04-1.11); higher static pressure (per 1 cm H2O HR, 1.03; 95% CI 1.01-1.04); extubation prior to death (HR, 1.41; 95% CI 1.06-1.86); and presence of diabetes (HR, 1.75; 95% CI 1.25-2.44). Higher noninvasive mean arterial pressure predicted longer time to death (per 1 mmHg HR, 0.98; 95% CI 0.97-0.99). Comorbid illness and key respiratory and physiologic parameters may inform physician predictions of time to death after withdrawal of mechanical ventilation. An understanding of the predictors of time to death may facilitate discussions with family members of dying patients and improve communication about end-of-life care.

[Labor productivity losses attributable to premature deaths due to traffic injuries between 2002 and 2012].

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Cubí-Mollá, Patricia; Peña-Longobardo, Luz María; Casal, Bruno; Rivera, Berta; Oliva-Moreno, Juan

2015-09-01

To estimate the years of potential life lost, years of potential productive life lost and the labor productivity losses attributable to premature deaths due to traffic injuries between 2002 and 2012 in Spain. Several statistical sources were combined (Spanish Registry of Deaths, Labor Force Survey and Wage Structure Survey) to develop a simulation model based on the human capital approach. This model allowed us to estimate the loss of labor productivity caused by premature deaths following traffic injuries from 2002 to 2012. In addition, mortality tables with life expectancy estimates were used to compute years of potential life lost and years of potential productive life lost. The estimated loss of labour productivity caused by fatal traffic injuries between 2002 and 2012 in Spain amounted to 9,521 million euros (baseline year 2012). The aggregate number of years of potential life lost in the period amounted to 1,433,103, whereas the years of potential productive life lost amounted to 875,729. Throughout the period analyzed, labor productivity losses and years of life lost diminished substantially. Labor productivity losses due to fatal traffic injuries decreased throughout the period analyzed. Nevertheless, the cumulative loss was alarmingly high. Estimation of the economic impact of health problems can complement conventional indicators of distinct dimensions and be used to support public policy making. Copyright © 2014 SESPAS. Published by Elsevier Espana. All rights reserved.

Hyaluronic acid levels predict risk of hepatic encephalopathy and liver-related death in HIV/viral hepatitis coinfected patients

DEFF Research Database (Denmark)

Peters, Lars; Mocroft, Amanda; Soriano, Vincent

2013-01-01

Whereas it is well established that various soluble biomarkers can predict level of liver fibrosis, their ability to predict liver-related clinical outcomes is less clearly established, in particular among HIV/viral hepatitis co-infected persons. We investigated plasma hyaluronic acid's (HA......) ability to predict risk of liver-related events (LRE; hepatic coma or liver-related death) in the EuroSIDA study....

Creation of a Scorecard to Predict In-Hospital Death in Patients Undergoing Operations for Acute Type A Aortic Dissection.

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Leontyev, Sergey; Légaré, Jean-Francois; Borger, Michael A; Buth, Karen J; Funkat, Anne K; Gerhard, Jochann; Mohr, Friedrich W

2016-05-01

This study evaluated preoperative predictors of in-hospital death for the surgical treatment of patients with acute type A aortic dissection (Type A) and created an easy-to-use scorecard to predict in-hospital death. We reviewed retrospectively all consecutive patients who underwent operations for acute Type A between 1996 and 2011 at 2 tertiary care institutions. A logistic regression model was created to identify independent preoperative predictors of in-hospital death. The results were used to create a scorecard predicting operative risk. Emergency operations were performed in 534 consecutive patients for acute Type A. Mean age was 61 ± 14 years and 36.3% were women. Critical preoperative state was present in 31% of patients and malperfusion of one or more end organs in 36%. Unadjusted in-hospital mortality was 18.7% and not significantly different between institutions. Independent predictors of in-hospital death were age 50 to 70 years (odds ratio [OR], 3.8; p = 0.001), age older than 70 years (OR, 2.8; p = 0.03), critical preoperative state (OR, 3.2; p risk score based on these variables. The patients were stratified into four risk categories predicting in-hospital death: less than 10%, 10% to 25%, 25% to 50%, and more than 50%. This represents one of the largest series of patients with Type A in which a risk model was created. Using our approach, we have shown that age, critical preoperative state, and malperfusion syndrome were strong independent risk factors for early death and could be used for the preoperative risk assessment. Copyright © 2016 The Society of Thoracic Surgeons. Published by Elsevier Inc. All rights reserved.

Predictive Value of Beat-to-Beat QT Variability Index across the Continuum of Left Ventricular Dysfunction: Competing Risks of Non-cardiac or Cardiovascular Death, and Sudden or Non-Sudden Cardiac Death

Science.gov (United States)

Tereshchenko, Larisa G.; Cygankiewicz, Iwona; McNitt, Scott; Vazquez, Rafael; Bayes-Genis, Antoni; Han, Lichy; Sur, Sanjoli; Couderc, Jean-Philippe; Berger, Ronald D.; de Luna, Antoni Bayes; Zareba, Wojciech

2012-01-01

Background The goal of this study was to determine the predictive value of beat-to-beat QT variability in heart failure (HF) patients across the continuum of left ventricular dysfunction. Methods and Results Beat-to-beat QT variability index (QTVI), heart rate variance (LogHRV), normalized QT variance (QTVN), and coherence between heart rate variability and QT variability have been measured at rest during sinus rhythm in 533 participants of the Muerte Subita en Insuficiencia Cardiaca (MUSIC) HF study (mean age 63.1±11.7; males 70.6%; LVEF >35% in 254 [48%]) and in 181 healthy participants from the Intercity Digital Electrocardiogram Alliance (IDEAL) database. During a median of 3.7 years of follow-up, 116 patients died, 52 from sudden cardiac death (SCD). In multivariate competing risk analyses, the highest QTVI quartile was associated with cardiovascular death [hazard ratio (HR) 1.67(95%CI 1.14-2.47), P=0.009] and in particular with non-sudden cardiac death [HR 2.91(1.69-5.01), P<0.001]. Elevated QTVI separated 97.5% of healthy individuals from subjects at risk for cardiovascular [HR 1.57(1.04-2.35), P=0.031], and non-sudden cardiac death in multivariate competing risk model [HR 2.58(1.13-3.78), P=0.001]. No interaction between QTVI and LVEF was found. QTVI predicted neither non-cardiac death (P=0.546) nor SCD (P=0.945). Decreased heart rate variability (HRV) rather than increased QT variability was the reason for increased QTVI in this study. Conclusions Increased QTVI due to depressed HRV predicts cardiovascular mortality and non-sudden cardiac death, but neither SCD nor excracardiac mortality in HF across the continuum of left ventricular dysfunction. Abnormally augmented QTVI separates 97.5% of healthy individuals from HF patients at risk. PMID:22730411

Assessing variation in skeletal production from surface death assemblages on the basis of age-frequency distributions

Science.gov (United States)

Tomasovych, Adam; Kidwell, Susan M.; Foygel Barber, Rina

2015-04-01

Age-frequency distributions of dead skeletal material that capture information on the elapsed time since death of individuals on the landscape or seabed provide decadal- to millennial-scale windows into the history of production and on the processes that lead to skeletal disintegration and burial. However, models quantifying the dynamics of skeletal loss assumed that skeletal production has been constant during accumulation of death assemblages. Here, we assess the joint effects of temporally-variable production and skeletal loss on the shape of postmortem age-frequency distributions. We show that the modes of such distributions will tend to be shifted to younger age cohorts relative to the true timing of past production pulses. This shift in the timing of a past production will be higher where loss rates are high and/or the rate of decline in production is slow. We apply the models combining the dynamic of loss and production to death assemblages with the deposit-feeding bivalve Nuculana taphria from the Southern California continental shelf, finding that (1) an onshore-offshore gradient in time averaging is dominated by a gradient in the timing of production, corresponding to the tracking of shallow-water habitats under a sea-level rise, and (2) model estimates of the timing of past production are in good agreement with an independent sea-level curve.

Predictors of death and production performance of layer chickens in opened and sealed pens in a tropical savannah environment.

Science.gov (United States)

Shittu, Aminu; Raji, Abdullahi Abdullahi; Madugu, Shuaibu A; Hassan, Akinola Waheed; Fasina, Folorunso Oludayo

2014-09-12

Layer chickens are exposed to high risks of production losses and mortality with impact on farm profitability. The harsh tropical climate and severe disease outbreaks, poor biosecurity, sub-minimal vaccination and treatment protocols, poor management practices, poor chick quality, feed-associated causes, and unintended accidents oftentimes aggravate mortality and negatively affect egg production. The objectives of this study were to estimate the probability of survival and evaluate risk factors for death under different intensive housing conditions in a tropical climate, and to assess the production performance in the housing systems. Daily mean mortality percentages and egg production figures were significantly lower and higher in the sealed pens and open houses (P ratio for mortality of layers raised in sealed pens was 0.568 (56.8%). Reasons for spiked mortality in layer chickens may not always be associated with disease. Hot-dry climatic environment is associated with heat stress, waning immunity and inefficient feed usage and increase probability of death with reduced egg production; usage of environmentally controlled building in conditions where environmental temperature may rise significantly above 25°C will reduce this impact. Since younger birds (19-38 weeks) are at higher risk of death due to stress of coming into production, management changes and diseases, critical implementation of protocols that will reduce death at this precarious period becomes mandatory. Whether older chickens' better protection from death is associated with many prophylactic and metaphylactic regimen of medications/vaccination will need further investigation.

Streptococcus sanguinis induces foam cell formation and cell death of macrophages in association with production of reactive oxygen species.

Science.gov (United States)

Okahashi, Nobuo; Okinaga, Toshinori; Sakurai, Atsuo; Terao, Yutaka; Nakata, Masanobu; Nakashima, Keisuke; Shintani, Seikou; Kawabata, Shigetada; Ooshima, Takashi; Nishihara, Tatsuji

2011-10-01

Streptococcus sanguinis, a normal inhabitant of the human oral cavity, is a common streptococcal species implicated in infective endocarditis. Herein, we investigated the effects of infection with S. sanguinis on foam cell formation and cell death of macrophages. Infection with S. sanguinis stimulated foam cell formation of THP-1, a human macrophage cell line. At a multiplicity of infection >100, S. sanguinis-induced cell death of the macrophages. Viable bacterial infection was required to trigger cell death because heat-inactivated S. sanguinis did not induce cell death. The production of cytokines interleukin-1β and tumor necrosis factor-α from macrophages was also stimulated during bacterial infection. Inhibition of the production of reactive oxygen species (ROS) resulted in reduced cell death, suggesting an association of ROS with cell death. Furthermore, S. sanguinis-induced cell death appeared to be independent of activation of inflammasomes, because cleavage of procaspase-1 was not evident in infected macrophages. © 2011 Federation of European Microbiological Societies. Published by Blackwell Publishing Ltd. All rights reserved.

Health-Related Quality of Life Predicts Major Amputation and Death, but Not Healing, in People With Diabetes Presenting With Foot Ulcers

DEFF Research Database (Denmark)

Siersma, V.; Thorsen, H.; Holstein, P.E.

2014-01-01

healing, major amputation and death.Research design and methodsWe followed 1088 patients with new diabetic foot ulcers presenting for treatment at one of the 14 centers in 10 European countries participating in the Eurodiale study, prospectively until healing (76.9%), major amputation (4.6%) or death (6...... for major amputation (Mobility, Self-Care, Usual Activities) and death (Self-care, Usual Activities, Pain/Discomfort).ConclusionsLow HRQoL appears to be predictive for major amputation and death, but high HRQoL does not increase healing. Future studies into the influence of HRQoL on ulcer outcome...

The bioenergetic signature of isogenic colon cancer cells predicts the cell death response to treatment with 3-bromopyruvate, iodoacetate or 5-fluorouracil.

Science.gov (United States)

Sánchez-Aragó, María; Cuezva, José M

2011-02-08

Metabolic reprogramming resulting in enhanced glycolysis is a phenotypic trait of cancer cells, which is imposed by the tumor microenvironment and is linked to the down-regulation of the catalytic subunit of the mitochondrial H+-ATPase (β-F1-ATPase). The bioenergetic signature is a protein ratio (β-F1-ATPase/GAPDH), which provides an estimate of glucose metabolism in tumors and serves as a prognostic indicator for cancer patients. Targeting energetic metabolism could be a viable alternative to conventional anticancer chemotherapies. Herein, we document that the bioenergetic signature of isogenic colon cancer cells provides a gauge to predict the cell-death response to the metabolic inhibitors, 3-bromopyruvate (3BrP) and iodoacetate (IA), and the anti-metabolite, 5-fluorouracil (5-FU). The bioenergetic signature of the cells was determined by western blotting. Aerobic glycolysis was determined from lactate production rates. The cell death was analyzed by fluorescence microscopy and flow cytometry. Cellular ATP concentrations were determined using bioluminiscence. Pearson's correlation coefficient was applied to assess the relationship between the bioenergetic signature and the cell death response. In vivo tumor regression activities of the compounds were assessed using a xenograft mouse model injected with the highly glycolytic HCT116 colocarcinoma cells. We demonstrate that the bioenergetic signature of isogenic HCT116 cancer cells inversely correlates with the potential to execute necrosis in response to 3BrP or IA treatment. Conversely, the bioenergetic signature directly correlates with the potential to execute apoptosis in response to 5-FU treatment in the same cells. However, despite the large differences observed in the in vitro cell-death responses associated with 3BrP, IA and 5-FU, the in vivo tumor regression activities of these agents were comparable. Overall, we suggest that the determination of the bioenergetic signature of colon carcinomas could

The bioenergetic signature of isogenic colon cancer cells predicts the cell death response to treatment with 3-bromopyruvate, iodoacetate or 5-fluorouracil

Directory of Open Access Journals (Sweden)

Cuezva José M

2011-02-01

Full Text Available Abstract Background Metabolic reprogramming resulting in enhanced glycolysis is a phenotypic trait of cancer cells, which is imposed by the tumor microenvironment and is linked to the down-regulation of the catalytic subunit of the mitochondrial H+-ATPase (β-F1-ATPase. The bioenergetic signature is a protein ratio (β-F1-ATPase/GAPDH, which provides an estimate of glucose metabolism in tumors and serves as a prognostic indicator for cancer patients. Targeting energetic metabolism could be a viable alternative to conventional anticancer chemotherapies. Herein, we document that the bioenergetic signature of isogenic colon cancer cells provides a gauge to predict the cell-death response to the metabolic inhibitors, 3-bromopyruvate (3BrP and iodoacetate (IA, and the anti-metabolite, 5-fluorouracil (5-FU. Methods The bioenergetic signature of the cells was determined by western blotting. Aerobic glycolysis was determined from lactate production rates. The cell death was analyzed by fluorescence microscopy and flow cytometry. Cellular ATP concentrations were determined using bioluminiscence. Pearson's correlation coefficient was applied to assess the relationship between the bioenergetic signature and the cell death response. In vivo tumor regression activities of the compounds were assessed using a xenograft mouse model injected with the highly glycolytic HCT116 colocarcinoma cells. Results We demonstrate that the bioenergetic signature of isogenic HCT116 cancer cells inversely correlates with the potential to execute necrosis in response to 3BrP or IA treatment. Conversely, the bioenergetic signature directly correlates with the potential to execute apoptosis in response to 5-FU treatment in the same cells. However, despite the large differences observed in the in vitro cell-death responses associated with 3BrP, IA and 5-FU, the in vivo tumor regression activities of these agents were comparable. Conclusions Overall, we suggest that the

Is past academic productivity predictive of radiology resident academic productivity?

Science.gov (United States)

Patterson, Stephanie K; Fitzgerald, James T; Boyse, Tedric D; Cohan, Richard H

2002-02-01

The authors performed this study to determine whether academic productivity in college and medical school is predictive of the number of publications produced during radiology residency. The authors reviewed the records of 73 radiology residents who completed their residency from 1990 to 2000. Academic productivity during college, medical school, and radiology residency, other postgraduate degrees, and past careers other than radiology were tabulated. The personal essay attached to the residency application was reviewed for any stated academic interest. Residents were classified as being either previously productive or previously unproductive. Publication rates during residency and immediately after residency were compared for the two groups. For the productive residents, a correlation analysis was used to examine the relationship between past frequency of publication and type of previous activity. Least-squares regression analysis was used to investigate the relationship between preresidency academic productivity, advanced degrees, stated interest in academics, and other careers and radiology residency publications. There was no statistically significant difference in the number of articles published by those residents who were active and those who were not active before residency (P = .21). Only authorship of papers as an undergraduate was weakly predictive of residency publication. These selected measures of academic productivity as an undergraduate and during medical school are not helpful for predicting publication during residency. There was no difference in publication potential between those residents who were academically productive in the past and those who were not.

Early CT findings to predict early death in patients with traumatic brain injury: Marshall and Rotterdam CT scoring systems compared in the major academic tertiary care hospital in northeastern Japan.

Science.gov (United States)

Mata-Mbemba, Daddy; Mugikura, Shunji; Nakagawa, Atsuhiro; Murata, Takaki; Ishii, Kiyoshi; Li, Li; Takase, Kei; Kushimoto, Shigeki; Takahashi, Shoki

2014-05-01

Computed tomography (CT) plays a crucial role in early assessment of patients with traumatic brain injury (TBI). Marshall and Rotterdam are the mostly used scoring systems, in which CT findings are grouped differently. We sought to determine the scoring system and initial CT findings predicting the death at hospital discharge (early death) in patients with TBI. We included 245 consecutive adult patients with mild-to-severe TBI. Their initial CT and status at hospital discharge (dead or alive) were reviewed, and both CT scores were calculated. We examined whether each score was related to early death; compared the two scoring systems' performance in predicting early death, and identified the CT findings that are independent predictors of early death. More deaths occurred among patients with higher Marshall and Rotterdam scores (both P death (Marshall, AUC = 0. 85 vs. Rotterdam, AUC = 0.85). Basal cistern absence (odds ratio [OR] = 771.5, P death. Both Marshall and Rotterdam scoring systems can be used to predict early death in patients with TBI. The performance of the Marshall score is at least equal to that of the Rotterdam score. Thus, although older, the Marshall score remains useful in predicting patients' prognosis. Copyright © 2014 AUR. Published by Elsevier Inc. All rights reserved.

The Doppler echocardiographic myocardial performance index predicts left-ventricular dilation and cardiac death after myocardial infarction

DEFF Research Database (Denmark)

Møller, J E; Søndergaard, E; Poulsen, S H

2001-01-01

To investigate the value of the Doppler-derived myocardial performance index to predict early left-ventricular (LV) dilation and cardiac death after a first acute myocardial infarction (AMI), Doppler echocardiography was performed within 24 h of hospital admission, on day 5, 1 and 3 months after...... AMI in 125 consecutive patients. The index measured on day 1 correlated well with the change in end-diastolic volume index observed from day 1 to 3 months following AMI (r = 0.66, p 0.0001). One-year survival in patients with Doppler index index > or = 0......, we conclude that the Doppler echocardiographic myocardial performance index is a predictor of LV dilation and cardiac death after a first AMI....

Early Echocardiographic Deformation Analysis for the Prediction of Sudden Cardiac Death and Life-Threatening Arrhythmias After Myocardial Infarction

DEFF Research Database (Denmark)

Ersbøll, Mads; Valeur, Nana; Andersen, Mads Jønsson

2013-01-01

This study sought to hypothesize that global longitudinal strain (GLS) as a measure of infarct size, and mechanical dispersion (MD) as a measure of myocardial deformation heterogeneity, would be of incremental importance for the prediction of sudden cardiac death (SCD) or malignant ventricular...

A single-item self-report medication adherence question predicts hospitalisation and death in patients with heart failure.

Science.gov (United States)

Wu, Jia-Rong; DeWalt, Darren A; Baker, David W; Schillinger, Dean; Ruo, Bernice; Bibbins-Domingo, Kristen; Macabasco-O'Connell, Aurelia; Holmes, George M; Broucksou, Kimberly A; Erman, Brian; Hawk, Victoria; Cene, Crystal W; Jones, Christine DeLong; Pignone, Michael

2014-09-01

To determine whether a single-item self-report medication adherence question predicts hospitalisation and death in patients with heart failure. Poor medication adherence is associated with increased morbidity and mortality. Having a simple means of identifying suboptimal medication adherence could help identify at-risk patients for interventions. We performed a prospective cohort study in 592 participants with heart failure within a four-site randomised trial. Self-report medication adherence was assessed at baseline using a single-item question: 'Over the past seven days, how many times did you miss a dose of any of your heart medication?' Participants who reported no missing doses were defined as fully adherent, and those missing more than one dose were considered less than fully adherent. The primary outcome was combined all-cause hospitalisation or death over one year and the secondary endpoint was heart failure hospitalisation. Outcomes were assessed with blinded chart reviews, and heart failure outcomes were determined by a blinded adjudication committee. We used negative binomial regression to examine the relationship between medication adherence and outcomes. Fifty-two percent of participants were 52% male, mean age was 61 years, and 31% were of New York Heart Association class III/IV at enrolment; 72% of participants reported full adherence to their heart medicine at baseline. Participants with full medication adherence had a lower rate of all-cause hospitalisation and death (0·71 events/year) compared with those with any nonadherence (0·86 events/year): adjusted-for-site incidence rate ratio was 0·83, fully adjusted incidence rate ratio 0·68. Incidence rate ratios were similar for heart failure hospitalisations. A single medication adherence question at baseline predicts hospitalisation and death over one year in heart failure patients. Medication adherence is associated with all-cause and heart failure-related hospitalisation and death in heart

[A cohort study on the predictive value of factors influencing cardio-cerebro vascular death among people over 40 years of age].

Science.gov (United States)

Yang, Jian-min; Lu, Fang-hong; Jin, Shi-kuan; Sun, Shang-wen; Zhao, Ying-xin; Wang, Shu-jian; Zhou, Xiao-hong

2007-02-01

To explore the factors influencing cardio-cerebro vascular death events among people over 40 years of age in Shandong area, China. Baseline survey was carried out in 1991. A total number of 11,008 adults over 40 years old had been studied in Shandong province. Data on cardiocerebro death was collected. The correlation between influencing factors and cardio-cerebro vascular death events was analyzed by Cox regression model. Totally, 434 cardio-cerebro death events occurred among the 11,008 subjects during the 8-year follow-up study. Cardio-cerebro death events were related to systolic blood pressure, diastolic blood pressure, smoking, stroke history and age. Data from Cox regression analysis showed that the relative risk (RR) for cardio-cerebro vascular death events increased by 2.862 [95% confidence interval (CI): 1.976-4.144] times for those people having stroke history. When systolic blood pressure, diastolic blood pressure increased by every 10 mm Hg, the relative risk for cardio-cerebro vascular death events increased by 1.171 (95% CI: 1.033-1.328), 1.214 (95% CI: 1.044-1.413) respectively. it was found that a 1.239 (95% CI: 1.088-1.553) times higher in smokers than non-smokers on relative risk for cardio-cerebro vascular death events. However, the predictive values of the influencing factors for cardio-cerebro vascular death were different among population of different years of age. The relative risk for cardio-cerebro vascular death events increased by 1.366 (95% CI: 1.102-1.678) times for each 10 mm Hg increase of diastolic blood pressure in 40-59 years old population. However, the effect was taken place by systolic blood pressure in 60-74 years old population,with a relative risk of 1.201 (95% CI: 1.017-1.418) for each 10 mm Hg increase. Age seemed the only significant factor for cardio-cerebro vascular death events on population aged more than 75 years old. Conclusion The predictive values of the risk factors were different among age groups. The different

Calcium-dependent nitric oxide production is involved in the cytoprotective properties of n-acetylcysteine in glycochenodeoxycholic acid-induced cell death in hepatocytes

International Nuclear Information System (INIS)

Gonzalez-Rubio, Sandra; Linares, Clara I.; Bello, Rosario I.; Gonzalez, Raul; Ferrin, Gustavo; Hidalgo, Ana B.; Munoz-Gomariz, Elisa; Rodriguez, Blanca A.; Barrera, Pilar; Ranchal, Isidora; Duran-Prado, Mario; Aguilar-Melero, Patricia; De la Mata, Manuel; Muntane, Jordi

2010-01-01

The intracellular oxidative stress has been involved in bile acid-induced cell death in hepatocytes. Nitric oxide (NO) exerts cytoprotective properties in glycochenodeoxycholic acid (GCDCA)-treated hepatocytes. The study evaluated the involvement of Ca 2+ on the regulation of NO synthase (NOS)-3 expression during N-acetylcysteine (NAC) cytoprotection against GCDCA-induced cell death in hepatocytes. The regulation of Ca 2+ pools (EGTA or BAPTA-AM) and NO (L-NAME or NO donor) production was assessed during NAC cytoprotection in GCDCA-treated HepG2 cells. The stimulation of Ca 2+ entrance was induced by A23187 in HepG2. Cell death, Ca 2+ mobilization, NOS-1, -2 and -3 expression, AP-1 activation, and NO production were evaluated. GCDCA reduced intracellular Ca 2+ concentration and NOS-3 expression, and enhanced cell death in HepG2. NO donor prevented, and L-NAME enhanced, GCDCA-induced cell death. The reduction of Ca 2+ entry by EGTA, but not its release from intracellular stores by BAPTA-AM, enhanced cell death in GCDCA-treated cells. The stimulation of Ca 2+ entrance by A23187 reduced cell death and enhanced NOS-3 expression in GCDCA-treated HepG2 cells. The cytoprotective properties of NAC were related to the recovery of intracellular Ca 2+ concentration, NOS-3 expression and NO production induced by GCDCA-treated HepG2 cells. The increase of NO production by Ca 2+ -dependent NOS-3 expression during NAC administration reduces cell death in GCDCA-treated hepatocytes.

Calcium-dependent nitric oxide production is involved in the cytoprotective properties of n-acetylcysteine in glycochenodeoxycholic acid-induced cell death in hepatocytes

Energy Technology Data Exchange (ETDEWEB)

Gonzalez-Rubio, Sandra; Linares, Clara I; Bello, Rosario I [Liver Research Unit, Reina Sofia University Hospital, Cordoba (Spain); Gonzalez, Raul; Ferrin, Gustavo [Liver Research Unit, Reina Sofia University Hospital, Cordoba (Spain); Centro de Investigacion Biomedica en Red de Enfermedades Hepaticas y Digestivas (CIBEREH o Ciberehd) (Spain); Hidalgo, Ana B [Liver Research Unit, Reina Sofia University Hospital, Cordoba (Spain); Munoz-Gomariz, Elisa [Department of Biostatistics, Reina Sofia University Hospital, Cordoba (Spain); Rodriguez, Blanca A [Liver Research Unit, Reina Sofia University Hospital, Cordoba (Spain); Barrera, Pilar; Ranchal, Isidora [Liver Research Unit, Reina Sofia University Hospital, Cordoba (Spain); Centro de Investigacion Biomedica en Red de Enfermedades Hepaticas y Digestivas (CIBEREH o Ciberehd) (Spain); Duran-Prado, Mario [Instituto de Parasitologia y Biomedicina Lopez Neyra, CSIC, Granada (Spain); CIBER Fisiopatologia de la Obesidad y Nutricion CB06/03, Instituto de Salud Carlos III, Ministerio de Sanidad y Consumo (Spain); Aguilar-Melero, Patricia [Liver Research Unit, Reina Sofia University Hospital, Cordoba (Spain); De la Mata, Manuel [Liver Research Unit, Reina Sofia University Hospital, Cordoba (Spain); Centro de Investigacion Biomedica en Red de Enfermedades Hepaticas y Digestivas (CIBEREH o Ciberehd) (Spain); Muntane, Jordi [Liver Research Unit, Reina Sofia University Hospital, Cordoba (Spain); Centro de Investigacion Biomedica en Red de Enfermedades Hepaticas y Digestivas (CIBEREH o Ciberehd) (Spain)

2010-01-15

The intracellular oxidative stress has been involved in bile acid-induced cell death in hepatocytes. Nitric oxide (NO) exerts cytoprotective properties in glycochenodeoxycholic acid (GCDCA)-treated hepatocytes. The study evaluated the involvement of Ca{sup 2+} on the regulation of NO synthase (NOS)-3 expression during N-acetylcysteine (NAC) cytoprotection against GCDCA-induced cell death in hepatocytes. The regulation of Ca{sup 2+} pools (EGTA or BAPTA-AM) and NO (L-NAME or NO donor) production was assessed during NAC cytoprotection in GCDCA-treated HepG2 cells. The stimulation of Ca{sup 2+} entrance was induced by A23187 in HepG2. Cell death, Ca{sup 2+} mobilization, NOS-1, -2 and -3 expression, AP-1 activation, and NO production were evaluated. GCDCA reduced intracellular Ca{sup 2+} concentration and NOS-3 expression, and enhanced cell death in HepG2. NO donor prevented, and L-NAME enhanced, GCDCA-induced cell death. The reduction of Ca{sup 2+} entry by EGTA, but not its release from intracellular stores by BAPTA-AM, enhanced cell death in GCDCA-treated cells. The stimulation of Ca{sup 2+} entrance by A23187 reduced cell death and enhanced NOS-3 expression in GCDCA-treated HepG2 cells. The cytoprotective properties of NAC were related to the recovery of intracellular Ca{sup 2+} concentration, NOS-3 expression and NO production induced by GCDCA-treated HepG2 cells. The increase of NO production by Ca{sup 2+}-dependent NOS-3 expression during NAC administration reduces cell death in GCDCA-treated hepatocytes.

Penicilliosis and AIDS in Haiphong, Vietnam: evolution and predictive factors of death.

Science.gov (United States)

Son, V T; Khue, P M; Strobel, M

2014-12-01

The study objective was to assess the lethality rates and the predictive factors for death in AIDS patients infected by Penicillium marneffei (Pm) in Hai Phong, Vietnam. A retrospective cohort study was conducted by reviewing 103 medicals records of confirmed cases from June 2006 to August 2009. Penicilliosis-related mortality was very high (33%). The majors risk factors of death were: (i) patient lacking complete treatment, a regimen with both of secondary prophylaxis by itraconazole and HAART (OR=52.2, P<0.001); (ii) patients having received only secondary prophylaxis (OR=21.2, P<0.001); (iii) patients coinfected by hepatitis C (OR=2.3, P=0.02) and tuberculosis (OR=1.97, P=0.04). Penicilliosis occurred in 28 cases after initiation of ART, probably caused by IRIS, with the same signs and symptoms as "common" penicilliosis. However, the diagnosis of IRIS was ruled out because the viral load could not be assessed. Penicilliosis is very frequent in the North of Vietnam. A good compliance to a complete treatment with healing antifungal (Amphotericin B) then secondary prophylaxis (Itraconazole) associate with ART, prolongs survival, prevents relapse, and also allows discontinuing a secondary prophylaxis in a half of the cases. Copyright © 2014 Elsevier Masson SAS. All rights reserved.

Machine learning applied to the prediction of citrus production

International Nuclear Information System (INIS)

Díaz, I.; Mazza, S.M.; Combarro, E.F.; Giménez, L.I.; Gaiad, J.E.

2017-01-01

An in-depth knowledge about variables affecting production is required in order to predict global production and take decisions in agriculture. Machine learning is a technique used in agricultural planning and precision agriculture. This work (i) studies the effectiveness of machine learning techniques for predicting orchards production; and (ii) variables affecting this production were also identified. Data from 964 orchards of lemon, mandarin, and orange in Corrientes, Argentina are analysed. Graphic and analytical descriptive statistics, correlation coefficients, principal component analysis and Biplot were performed. Production was predicted via M5-Prime, a model regression tree constructor which produces a classification based on piecewise linear functions. For all the species studied, the most informative variable was the trees' age; in mandarin and orange orchards, age was followed by between and within row distances; irrigation also affected mandarin production. Also, the performance of M5-Prime in the prediction of production is adequate, as shown when measured with correlation coefficients (~0.8) and relative mean absolute error (~0.1). These results show that M5-Prime is an appropriate method to classify citrus orchards according to production and, in addition, it allows for identifying the most informative variables affecting production by tree.

Machine learning applied to the prediction of citrus production

Directory of Open Access Journals (Sweden)

Irene Díaz

2017-07-01

Full Text Available An in-depth knowledge about variables affecting production is required in order to predict global production and take decisions in agriculture. Machine learning is a technique used in agricultural planning and precision agriculture. This work (i studies the effectiveness of machine learning techniques for predicting orchards production; and (ii variables affecting this production were also identified. Data from 964 orchards of lemon, mandarin, and orange in Corrientes, Argentina are analysed. Graphic and analytical descriptive statistics, correlation coefficients, principal component analysis and Biplot were performed. Production was predicted via M5-Prime, a model regression tree constructor which produces a classification based on piecewise linear functions. For all the species studied, the most informative variable was the trees’ age; in mandarin and orange orchards, age was followed by between and within row distances; irrigation also affected mandarin production. Also, the performance of M5-Prime in the prediction of production is adequate, as shown when measured with correlation coefficients (~0.8 and relative mean absolute error (~0.1. These results show that M5-Prime is an appropriate method to classify citrus orchards according to production and, in addition, it allows for identifying the most informative variables affecting production by tree.

Machine learning applied to the prediction of citrus production

Energy Technology Data Exchange (ETDEWEB)

Díaz, I.; Mazza, S.M.; Combarro, E.F.; Giménez, L.I.; Gaiad, J.E.

2017-07-01

An in-depth knowledge about variables affecting production is required in order to predict global production and take decisions in agriculture. Machine learning is a technique used in agricultural planning and precision agriculture. This work (i) studies the effectiveness of machine learning techniques for predicting orchards production; and (ii) variables affecting this production were also identified. Data from 964 orchards of lemon, mandarin, and orange in Corrientes, Argentina are analysed. Graphic and analytical descriptive statistics, correlation coefficients, principal component analysis and Biplot were performed. Production was predicted via M5-Prime, a model regression tree constructor which produces a classification based on piecewise linear functions. For all the species studied, the most informative variable was the trees' age; in mandarin and orange orchards, age was followed by between and within row distances; irrigation also affected mandarin production. Also, the performance of M5-Prime in the prediction of production is adequate, as shown when measured with correlation coefficients (~0.8) and relative mean absolute error (~0.1). These results show that M5-Prime is an appropriate method to classify citrus orchards according to production and, in addition, it allows for identifying the most informative variables affecting production by tree.

DNA methylation-based measures of biological age: meta-analysis predicting time to death

Science.gov (United States)

Chen, Brian H.; Marioni, Riccardo E.; Colicino, Elena; Peters, Marjolein J.; Ward-Caviness, Cavin K.; Tsai, Pei-Chien; Roetker, Nicholas S.; Just, Allan C.; Demerath, Ellen W.; Guan, Weihua; Bressler, Jan; Fornage, Myriam; Studenski, Stephanie; Vandiver, Amy R.; Moore, Ann Zenobia; Tanaka, Toshiko; Kiel, Douglas P.; Liang, Liming; Vokonas, Pantel; Schwartz, Joel; Lunetta, Kathryn L.; Murabito, Joanne M.; Bandinelli, Stefania; Hernandez, Dena G.; Melzer, David; Nalls, Michael; Pilling, Luke C.; Price, Timothy R.; Singleton, Andrew B.; Gieger, Christian; Holle, Rolf; Kretschmer, Anja; Kronenberg, Florian; Kunze, Sonja; Linseisen, Jakob; Meisinger, Christine; Rathmann, Wolfgang; Waldenberger, Melanie; Visscher, Peter M.; Shah, Sonia; Wray, Naomi R.; McRae, Allan F.; Franco, Oscar H.; Hofman, Albert; Uitterlinden, André G.; Absher, Devin; Assimes, Themistocles; Levine, Morgan E.; Lu, Ake T.; Tsao, Philip S.; Hou, Lifang; Manson, JoAnn E.; Carty, Cara L.; LaCroix, Andrea Z.; Reiner, Alexander P.; Spector, Tim D.; Feinberg, Andrew P.; Levy, Daniel; Baccarelli, Andrea; van Meurs, Joyce; Bell, Jordana T.; Peters, Annette; Deary, Ian J.; Pankow, James S.; Ferrucci, Luigi; Horvath, Steve

2016-01-01

Estimates of biological age based on DNA methylation patterns, often referred to as “epigenetic age”, “DNAm age”, have been shown to be robust biomarkers of age in humans. We previously demonstrated that independent of chronological age, epigenetic age assessed in blood predicted all-cause mortality in four human cohorts. Here, we expanded our original observation to 13 different cohorts for a total sample size of 13,089 individuals, including three racial/ethnic groups. In addition, we examined whether incorporating information on blood cell composition into the epigenetic age metrics improves their predictive power for mortality. All considered measures of epigenetic age acceleration were predictive of mortality (p≤8.2×10−9), independent of chronological age, even after adjusting for additional risk factors (p<5.4×10−4), and within the racial/ethnic groups that we examined (non-Hispanic whites, Hispanics, African Americans). Epigenetic age estimates that incorporated information on blood cell composition led to the smallest p-values for time to death (p=7.5×10−43). Overall, this study a) strengthens the evidence that epigenetic age predicts all-cause mortality above and beyond chronological age and traditional risk factors, and b) demonstrates that epigenetic age estimates that incorporate information on blood cell counts lead to highly significant associations with all-cause mortality. PMID:27690265

Using poison center exposure calls to predict methadone poisoning deaths.

Directory of Open Access Journals (Sweden)

Nabarun Dasgupta

Full Text Available PURPOSE: There are more drug overdose deaths in the Untied States than motor vehicle fatalities. Yet the US vital statistics reporting system is of limited value because the data are delayed by four years. Poison centers report data within an hour of the event, but previous studies suggested a small proportion of poisoning deaths are reported to poison centers (PC. In an era of improved electronic surveillance capabilities, exposure calls to PCs may be an alternate indicator of trends in overdose mortality. METHODS: We used PC call counts for methadone that were reported to the Researched Abuse, Diversion and Addiction-Related Surveillance (RADARS® System in 2006 and 2007. US death certificate data were used to identify deaths due to methadone. Linear regression was used to quantify the relationship of deaths and poison center calls. RESULTS: Compared to decedents, poison center callers tended to be younger, more often female, at home and less likely to require medical attention. A strong association was found with PC calls and methadone mortality (b=0.88, se=0.42, t=9.5, df=1, p<0.0001, R(2 =0.77. These findings were robust to large changes in a sensitivity analysis assessing the impact of underreporting of methadone overdose deaths. CONCLUSIONS: Our results suggest that calls to poison centers for methadone are correlated with poisoning mortality as identified on death certificates. Calls received by poison centers may be used for timely surveillance of mortality due to methadone. In the midst of the prescription opioid overdose epidemic, electronic surveillance tools that report in real-time are powerful public health tools.

Machine learning applied to the prediction of citrus production

OpenAIRE

Díaz Rodríguez, Susana Irene; Mazza, Silvia M.; Fernández-Combarro Álvarez, Elías; Giménez, Laura I.; Gaiad, José E.

2017-01-01

An in-depth knowledge about variables affecting production is required in order to predict global production and take decisions in agriculture. Machine learning is a technique used in agricultural planning and precision agriculture. This work (i) studies the effectiveness of machine learning techniques for predicting orchards production; and (ii) variables affecting this production were also identified. Data from 964 orchards of lemon, mandarin, and orange in Corrientes, Argentina are analyse...

A computer case definition for sudden cardiac death.

Science.gov (United States)

Chung, Cecilia P; Murray, Katherine T; Stein, C Michael; Hall, Kathi; Ray, Wayne A

2010-06-01

To facilitate studies of medications and sudden cardiac death, we developed and validated a computer case definition for these deaths. The study of community dwelling Tennessee Medicaid enrollees 30-74 years of age utilized a linked database with Medicaid inpatient/outpatient files, state death certificate files, and a state 'all-payers' hospital discharge file. The computerized case definition was developed from a retrospective cohort study of sudden cardiac deaths occurring between 1990 and 1993. Medical records for 926 potential cases had been adjudicated for this study to determine if they met the clinical definition for sudden cardiac death occurring in the community and were likely to be due to ventricular tachyarrhythmias. The computerized case definition included deaths with (1) no evidence of a terminal hospital admission/nursing home stay in any of the data sources; (2) an underlying cause of death code consistent with sudden cardiac death; and (3) no terminal procedures inconsistent with unresuscitated cardiac arrest. This definition was validated in an independent sample of 174 adjudicated deaths occurring between 1994 and 2005. The positive predictive value of the computer case definition was 86.0% in the development sample and 86.8% in the validation sample. The positive predictive value did not vary materially for deaths coded according to the ICO-9 (1994-1998, positive predictive value = 85.1%) or ICD-10 (1999-2005, 87.4%) systems. A computerized Medicaid database, linked with death certificate files and a state hospital discharge database, can be used for a computer case definition of sudden cardiac death. Copyright (c) 2009 John Wiley & Sons, Ltd.

Predicting estuarine benthic production using functional diversity

Directory of Open Access Journals (Sweden)

Marina Dolbeth

2014-05-01

Full Text Available We considered an estuarine system having naturally low levels of diversity, but attaining considerable high production levels, and being subjected to different sorts of anthropogenic impacts and climate events to investigate the relationship between diversity and secondary production. Functional diversity measures were used to predict benthic production, which is considered as a proxy of the ecosystem provisioning services. To this end, we used a 14-year dataset on benthic invertebrate community production from a seagrass and a sandflat habitat and we adopted a sequential modeling approach, where abiotic, trait community weighted means (CWM and functional diversity indices were tested by generalized linear models (GLM, and their significant variables were then combined to produce a final model. Almost 90% of variance of the benthic production could be predicted by combining the number of locomotion types, the absolute maximum atmospheric temperature (proxy of the heat waves occurrence, the type of habitat and the mean body mass, by order of importance. This result is in agreement with the mass ratio hypothesis, where ecosystem functions/services can be chiefly predicted by the dominant trait in the community, here measured as CWM. The increase of benthic production with the number of locomotion types may be seen as greater possibility of using the resources available in the system. Such greater efficiency would increase production. The other variables were also discussed in line of the previous hypothesis and taking into account the general positive relationship obtained between production and functional diversity indices. Overall, it was concluded that traits representative of wider possibilities of using available resources and higher functional diversity are related with higher benthic production.

Productivity losses associated with tuberculosis deaths in the World Health Organization African region.

Science.gov (United States)

Kirigia, Joses Muthuri; Muthuri, Rosenabi Deborah Karimi

2016-06-01

In 2014, almost half of the global tuberculosis deaths occurred in the World Health Organization (WHO) African Region. Approximately 21.5 % of the 6 060 742 TB cases (new and relapse) reported to the WHO in 2014 were in the African Region. The specific objective of this study was to estimate future gross domestic product (GDP) losses associated with TB deaths in the African Region for use in advocating for better strategies to prevent and control tuberculosis. The cost-of-illness method was used to estimate non-health GDP losses associated with TB deaths. Future non-health GDP losses were discounted at 3 %. The analysis was conducted for three income groups of countries. One-way sensitivity analysis at 5 and 10 % discount rates was undertaken to assess the impact on the expected non-health GDP loss. The 0.753 million tuberculosis deaths that occurred in the African Region in 2014 would be expected to decrease the future non-health GDP by International Dollars (Int$) 50.4 billion. Nearly 40.8, 46.7 and 12.5 % of that loss would come from high and upper-middle- countries or lower-middle- and low-income countries, respectively. The average total non-health GDP loss would be Int$66 872 per tuberculosis death. The average non-health GDP loss per TB death was Int$167 592 for Group 1, Int$69 808 for Group 2 and Int$21 513 for Group 3. Tuberculosis exerts a sizeable economic burden on the economies of the WHO AFR countries. This implies the need to strongly advocate for better strategies to prevent and control tuberculosis and to help countries end the epidemic of tuberculosis by 2030, as envisioned in the United Nations General Assembly resolution on Sustainable Development Goals (SDGs).

Prediction of cause of death from forensic autopsy reports using text classification techniques: A comparative study.

Science.gov (United States)

Mujtaba, Ghulam; Shuib, Liyana; Raj, Ram Gopal; Rajandram, Retnagowri; Shaikh, Khairunisa

2018-07-01

Automatic text classification techniques are useful for classifying plaintext medical documents. This study aims to automatically predict the cause of death from free text forensic autopsy reports by comparing various schemes for feature extraction, term weighing or feature value representation, text classification, and feature reduction. For experiments, the autopsy reports belonging to eight different causes of death were collected, preprocessed and converted into 43 master feature vectors using various schemes for feature extraction, representation, and reduction. The six different text classification techniques were applied on these 43 master feature vectors to construct a classification model that can predict the cause of death. Finally, classification model performance was evaluated using four performance measures i.e. overall accuracy, macro precision, macro-F-measure, and macro recall. From experiments, it was found that that unigram features obtained the highest performance compared to bigram, trigram, and hybrid-gram features. Furthermore, in feature representation schemes, term frequency, and term frequency with inverse document frequency obtained similar and better results when compared with binary frequency, and normalized term frequency with inverse document frequency. Furthermore, the chi-square feature reduction approach outperformed Pearson correlation, and information gain approaches. Finally, in text classification algorithms, support vector machine classifier outperforms random forest, Naive Bayes, k-nearest neighbor, decision tree, and ensemble-voted classifier. Our results and comparisons hold practical importance and serve as references for future works. Moreover, the comparison outputs will act as state-of-art techniques to compare future proposals with existing automated text classification techniques. Copyright © 2017 Elsevier Ltd and Faculty of Forensic and Legal Medicine. All rights reserved.

Savanna browse production. 2: Prediction | Penderis | African ...

African Journals Online (AJOL)

Our study was initiated with the aim of modelling browse production rates of key savanna tree species in the northern Zululand region of KwaZulu-Natal, with the assumption that browse production equates to utilised browse biomass. Predictive models for the production of browse, at different game feeding levels, ...

Diagnostic accuracy of S100B urinary testing at birth in full-term asphyxiated newborns to predict neonatal death.

Directory of Open Access Journals (Sweden)

Diego Gazzolo

Full Text Available BACKGROUND: Neonatal death in full-term infants who suffer from perinatal asphyxia (PA is a major subject of investigation, since few tools exist to predict patients at risk of ominous outcome. We studied the possibility that urine S100B measurement may identify which PA-affected infants are at risk of early postnatal death. METHODOLOGY/PRINCIPAL FINDINGS: In a cross-sectional study between January 1, 2001 and December 1, 2006 we measured S100B protein in urine collected from term infants (n = 132, 60 of whom suffered PA. According to their outcome at 7 days, infants with PA were subsequently classified either as asphyxiated infants complicated by hypoxic ischemic encephalopathy with no ominous outcome (HIE Group; n = 48, or as newborns who died within the first post-natal week (Ominous Outcome Group; n = 12. Routine laboratory variables, cerebral ultrasound, neurological patterns and urine concentrations of S100B protein were determined at first urination and after 24, 48 and 96 hours. The severity of illness in the first 24 hours after birth was measured using the Score for Neonatal Acute Physiology-Perinatal Extension (SNAP-PE. Urine S100B levels were higher from the first urination in the ominous outcome group than in healthy or HIE Groups (p1.0 microg/L S100B had a sensitivity/specificity of 100% for predicting neonatal death. CONCLUSIONS/SIGNIFICANCE: Increased S100B protein urine levels in term newborns suffering PA seem to suggest a higher risk of neonatal death for these infants.

Prediction of time of death after withdrawal of life-sustaining treatment in potential donors after cardiac death

NARCIS (Netherlands)

Wind, Jentina; Snoeijs, Maarten G. J.; Brugman, Cees A.; Vervelde, Janneke; Zwaveling, Janharm; van Mook, Walther N.; van Heurn, Ernest L.

Objective: Organ donation after cardiac death increases the number of donor organs. In controlled donation after cardiac death donors, the period between withdrawal of life-sustaining treatment and cardiac arrest is one of the parameters used to assess whether organs are suitable for

Prediction of time of death after withdrawal of life-sustaining treatment in potential donors after cardiac death

NARCIS (Netherlands)

Wind, Jentina; Snoeijs, Maarten G. J.; Brugman, Cees A.; Vervelde, Janneke; Zwaveling, Janharm; van Mook, Walther N.; van Heurn, Ernest L.

2012-01-01

Objective: Organ donation after cardiac death increases the number of donor organs. In controlled donation after cardiac death donors, the period between withdrawal of life-sustaining treatment and cardiac arrest is one of the parameters used to assess whether organs are suitable for

Long-term recurrence and death rates after acute pancreatitis

DEFF Research Database (Denmark)

Lund, Helle; Tønnesen, Hanne; Tønnesen, Maja Hanne

2006-01-01

The aim of this study was to compare long-term recurrence and death rates after a first episode of acute pancreatitis in patients with and without gallstones. Additionally, it was of interest to find out if there were factors predictive of readmission or death.......The aim of this study was to compare long-term recurrence and death rates after a first episode of acute pancreatitis in patients with and without gallstones. Additionally, it was of interest to find out if there were factors predictive of readmission or death....

Predicting the cumulative risk of death during hospitalization by modeling weekend, weekday and diurnal mortality risks.

Science.gov (United States)

Coiera, Enrico; Wang, Ying; Magrabi, Farah; Concha, Oscar Perez; Gallego, Blanca; Runciman, William

2014-05-21

Current prognostic models factor in patient and disease specific variables but do not consider cumulative risks of hospitalization over time. We developed risk models of the likelihood of death associated with cumulative exposure to hospitalization, based on time-varying risks of hospitalization over any given day, as well as day of the week. Model performance was evaluated alone, and in combination with simple disease-specific models. Patients admitted between 2000 and 2006 from 501 public and private hospitals in NSW, Australia were used for training and 2007 data for evaluation. The impact of hospital care delivered over different days of the week and or times of the day was modeled by separating hospitalization risk into 21 separate time periods (morning, day, night across the days of the week). Three models were developed to predict death up to 7-days post-discharge: 1/a simple background risk model using age, gender; 2/a time-varying risk model for exposure to hospitalization (admission time, days in hospital); 3/disease specific models (Charlson co-morbidity index, DRG). Combining these three generated a full model. Models were evaluated by accuracy, AUC, Akaike and Bayesian information criteria. There was a clear diurnal rhythm to hospital mortality in the data set, peaking in the evening, as well as the well-known 'weekend-effect' where mortality peaks with weekend admissions. Individual models had modest performance on the test data set (AUC 0.71, 0.79 and 0.79 respectively). The combined model which included time-varying risk however yielded an average AUC of 0.92. This model performed best for stays up to 7-days (93% of admissions), peaking at days 3 to 5 (AUC 0.94). Risks of hospitalization vary not just with the day of the week but also time of the day, and can be used to make predictions about the cumulative risk of death associated with an individual's hospitalization. Combining disease specific models with such time varying- estimates appears to

Long term prediction of unconventional oil production

International Nuclear Information System (INIS)

Mohr, S.H.; Evans, G.M.

2010-01-01

Although considerable discussion surrounds unconventional oil's ability to mitigate the effects of peaking conventional oil production, very few models of unconventional oil production exist. The aim of this article was to project unconventional oil production to determine how significant its production may be. Two models were developed to predict the unconventional oil production, one model for in situ production and the other for mining the resources. Unconventional oil production is anticipated to reach between 18 and 32 Gb/y (49-88 Mb/d) in 2076-2084, before declining. If conventional oil production is at peak production then projected unconventional oil production cannot mitigate peaking of conventional oil alone.

Religious characteristics and the death penalty.

Science.gov (United States)

Miller, Monica K; Hayward, R David

2008-04-01

Using one mock trial scenario, this study investigated whether religious and demographic factors were related to death penalty attitudes and sentencing verdicts. Those who favored the death penalty differed from those who had doubts about the penalty in gender, affiliation, fundamentalism, evangelism, literal Biblical interpretism, beliefs about God's attitudes toward murders, and perceptions of how their religious groups felt about the death penalty. These relationships generally held after mock jurors were death qualified. Gender, fundamentalism, literal interpretism, beliefs about God's death penalty position, and perceptions of how one's religious group felt about the death penalty predicted death penalty sentencing verdicts. Future research could determine whether using peremptory challenges to exclude potential jurors based on religion can help lawyers choose a more favorable jury.

Associations and predictions of readmission or death in acutely admitted older medical patients using self-reported frailty and functional measures. A Danish cohort study

DEFF Research Database (Denmark)

Andreasen, Jane; Aadahl, Mette; Sørensen, Erik Elgaard

2018-01-01

OBJECTIVE: To assess whether frailty in acutely admitted older medical patients, assessed by a self-report questionnaire and evaluation of functional level at discharge, was associated with readmission or death within 6 months after discharge. A second objective was to assess the predictive...... measured. Associations were assessed using Cox regression with first unplanned readmission or death (all-causes) as the outcome. Prediction models including the three exposure variables and known risk factors were modelled using logistic regression and C-statistics. RESULTS: Of 1328 included patients, 50......% were readmitted or died within 6 months. When adjusted for gender and age, there was an 88% higher risk of readmission or death if the TFI scores were 8-13 points compared to 0-1 points (HR 1.88, CI 1.38;2.58). Likewise, higher TUG and lower GS scores were associated with higher risk of readmission...

Predicting plankton net community production in the Atlantic Ocean

Science.gov (United States)

Serret, Pablo; Robinson, Carol; Fernández, Emilio; Teira, Eva; Tilstone, Gavin; Pérez, Valesca

2009-07-01

We present, test and implement two contrasting models to predict euphotic zone net community production (NCP), which are based on 14C primary production (PO 14CP) to NCP relationships over two latitudinal (ca. 30°S-45°N) transects traversing highly productive and oligotrophic provinces of the Atlantic Ocean (NADR, CNRY, BENG, NAST-E, ETRA and SATL, Longhurst et al., 1995 [An estimation of global primary production in the ocean from satellite radiometer data. Journal of Plankton Research 17, 1245-1271]). The two models include similar ranges of PO 14CP and community structure, but differ in the relative influence of allochthonous organic matter in the oligotrophic provinces. Both models were used to predict NCP from PO 14CP measurements obtained during 11 local and three seasonal studies in the Atlantic, Pacific and Indian Oceans, and from satellite-derived estimates of PO 14CP. Comparison of these NCP predictions with concurrent in situ measurements and geochemical estimates of NCP showed that geographic and annual patterns of NCP can only be predicted when the relative trophic importance of local vs. distant processes is similar in both modeled and predicted ecosystems. The system-dependent ability of our models to predict NCP seasonality suggests that trophic-level dynamics are stronger than differences in hydrodynamic regime, taxonomic composition and phytoplankton growth. The regional differences in the predictive power of both models confirm the existence of biogeographic differences in the scale of trophic dynamics, which impede the use of a single generalized equation to estimate global marine plankton NCP. This paper shows the potential of a systematic empirical approach to predict plankton NCP from local and satellite-derived P estimates.

Hypoxemia predicts death from severe falciparum malaria among ...

African Journals Online (AJOL)

2014-06-02

Jun 2, 2014 ... Major strategies aimed at the control and reduction ... with death in univariate analysis but not logistic regression model. ... at subsidised costs paid by the caregivers. ..... this treatments may have reversed the progression of.

Can early-life growth disruptions predict longevity? Testing the association between vertebral neural canal (VNC) size and age-at-death.

Science.gov (United States)

Amoroso, Alexandra; Garcia, Susana J

2018-04-04

This study tests the association of vertebral neural canal (VNC) size and age-at-death in a Portuguese skeletal collection from the 19 th -20th century. If the plasticity and constraint model best explains this association, VNC size would be negatively related to mortality risk. If the predictive adaptive response (PAR) model is a better fit, no association can be inferred between VNC size and age-at-death. Ninety individuals were used in this study. The anteroposterior and transverse diameters of all vertebrae were measured. A Cox regression analysis was performed by sex to assess the effect of VNC size on age-at-death, after adjusting for the effects of year of birth and cause of death. Several measurements of VNC diameters have a statistically significant effect on age-at-death, but when the covariates were considered, this association became non-significant. The PAR model seems the best fit to explain the relation between VNC and age-at-death. Individuals who went through stressful events early in life were prepared to face a stressful environment later in life, allowing them to cope with adversity without affecting longevity. However, developmental plasticity may be buffered by maternal capital accumulated over several generations, and health hazards encountered throughout life can contribute to health outcomes and longevity. Copyright © 2018 Elsevier Inc. All rights reserved.

Sudden cardiac death and pump failure death prediction in chronic heart failure by combining ECG and clinical markers in an integrated risk model

Science.gov (United States)

Orini, Michele; Mincholé, Ana; Monasterio, Violeta; Cygankiewicz, Iwona; Bayés de Luna, Antonio; Martínez, Juan Pablo

2017-01-01

Background Sudden cardiac death (SCD) and pump failure death (PFD) are common endpoints in chronic heart failure (CHF) patients, but prevention strategies are different. Currently used tools to specifically predict these endpoints are limited. We developed risk models to specifically assess SCD and PFD risk in CHF by combining ECG markers and clinical variables. Methods The relation of clinical and ECG markers with SCD and PFD risk was assessed in 597 patients enrolled in the MUSIC (MUerte Súbita en Insuficiencia Cardiaca) study. ECG indices included: turbulence slope (TS), reflecting autonomic dysfunction; T-wave alternans (TWA), reflecting ventricular repolarization instability; and T-peak-to-end restitution (ΔαTpe) and T-wave morphology restitution (TMR), both reflecting changes in dispersion of repolarization due to heart rate changes. Standard clinical indices were also included. Results The indices with the greatest SCD prognostic impact were gender, New York Heart Association (NYHA) class, left ventricular ejection fraction, TWA, ΔαTpe and TMR. For PFD, the indices were diabetes, NYHA class, ΔαTpe and TS. Using a model with only clinical variables, the hazard ratios (HRs) for SCD and PFD for patients in the high-risk group (fifth quintile of risk score) with respect to patients in the low-risk group (first and second quintiles of risk score) were both greater than 4. HRs for SCD and PFD increased to 9 and 11 when using a model including only ECG markers, and to 14 and 13, when combining clinical and ECG markers. Conclusion The inclusion of ECG markers capturing complementary pro-arrhythmic and pump failure mechanisms into risk models based only on standard clinical variables substantially improves prediction of SCD and PFD in CHF patients. PMID:29020031

Years of Life and Productivity Loss from Potentially Avoidable Colorectal Cancer Deaths in U.S. Counties with Lower Educational Attainment (2008-2012).

Science.gov (United States)

Weir, Hannah K; Li, Chunyu; Henley, S Jane; Joseph, Djenaba

2017-05-01

Background: Educational attainment (EA) is inversely associated with colorectal cancer risk. Colorectal cancer screening can save lives if precancerous polyps or early cancers are found and successfully treated. This study aims to estimate the potential productivity loss (PPL) and associated avoidable colorectal cancer-related deaths among screen-eligible adults residing in lower EA counties in the United States. Methods: Mortality and population data were used to examine colorectal cancer deaths (2008-2012) among adults aged 50 to 74 years in lower EA counties, and to estimate the expected number of deaths using the mortality experience from high EA counties. Excess deaths (observed-expected) were used to estimate potential years life lost, and the human capital method was used to estimate PPL in 2012 U.S. dollars. Results: County-level colorectal cancer death rates were inversely associated with county-level EA. Of the 100,857 colorectal cancer deaths in lower EA counties, we estimated that more than 21,000 (1 in 5) was potentially avoidable and resulted in nearly $2 billion annual productivity loss. Conclusions: County-level EA disparities contribute to a large number of potentially avoidable colorectal cancer-related deaths. Increased prevention and improved screening potentially could decrease deaths and help reduce the associated economic burden in lower EA communities. Increased screening could further reduce deaths in all EA groups. Impact: These results estimate the large economic impact of potentially avoidable colorectal cancer-related deaths in economically disadvantaged communities, as measured by lower EA. Cancer Epidemiol Biomarkers Prev; 26(5); 736-42. ©2016 AACR . ©2016 American Association for Cancer Research.

Religiousness, religious doubt, and death anxiety.

Science.gov (United States)

Henrie, James; Patrick, Julie Hicks

2014-01-01

Terror Management Theory (TMT) (Greenberg, Pyszczynski, & Solomon, 1986) suggests that culturally-provided worldviews (e.g., religion) may protect individuals from experiencing death anxiety, and several studies have supported this position. However, if one's worldview can offer protection, doubts concerning one's worldview could undermine this protection. The current study investigated whether age, gender, religiousness, and religious doubt were associated with death anxiety. Using data from 635 younger, middle-aged, and older adults, a structural equation model with age, gender, religiousness, and religious doubt predicting death anxiety was tested. The model had a good fit (chi2 (76) = 193.467, p religiousness was inversely associated with death anxiety, while religious doubt was positively associated with death anxiety.

Can sudden cardiac death in the young be predicted and prevented? Lessons from autopsy for the emergency physician.

Science.gov (United States)

White, Jennifer L; Chang, Anna Marie; Cesar, Sergi; Sarquella-Brugada, Georgia

2018-06-01

Sudden unexpected death in the young, though rare, is devastating for both the family and the community. Although only 1.3 to 8.5 cases of sudden cardiac death (SCD) occur per 100 000 young people, autopsy is often inconclusive. Many causes of SCD are related to autosomal dominant inherited risk, however; therefore, answers are important for survivors. Causes of autopsy-positive SCD in young patients include hypertrophic cardiomyopathy and arrhythmogenic right ventricular dysplasia. Autopsy-negative SCD has been related to inherited arrhythmogenic causes such as long QT syndrome, Brugada syndrome, catecholaminergic polymorphic ventricular tachycardia, Wolff- Parkinson-White syndrome, and idiopathic ventricular fibrillation. The important question for the emergency physician is how SCD can be predicted and prevented in the young so that there is no need for an autopsy.

Portrayal of Brain Death in Film and Television.

Science.gov (United States)

Lewis, A; Weaver, J; Caplan, A

2017-03-01

We sought to evaluate whether television and cinematic coverage of brain death is educational or misleading. We identified 24 accessible productions that addressed brain death using the archives of the Paley Center for Media (160 000 titles) and the Internet Movie Database (3.7 million titles). Productions were reviewed by two board-certified neurologists. Although 19 characters were pronounced brain dead, no productions demonstrated a complete examination to assess for brain death (6 included an assessment for coma, 9 included an evaluation of at least 1 brainstem reflex, but none included an assessment of every brainstem reflex, and 2 included an apnea test). Subjectively, both authors believed only a small fraction of productions (13% A.L., 13% J.W.) provided the public a complete and accurate understanding of brain death. Organ donation was addressed in 17 productions (71%), but both reviewers felt that the discussions about organ donation were professional in a paucity of productions (9% for A.L., 27% for J.W.). Because television and movies serve as a key source for public education, the quality of productions that feature brain death must be improved. © Copyright 2016 The American Society of Transplantation and the American Society of Transplant Surgeons.

Years of Life and Productivity Loss from Potentially Avoidable Colorectal Cancer Deaths in U.S. Counties with Lower Educational Attainment (2008–2012)

Science.gov (United States)

Weir, Hannah K.; Li, Chunyu; Henley, S. Jane; Joseph, Djenaba

2018-01-01

Background Educational attainment (EA) is inversely associated with colorectal cancer risk. Colorectal cancer screening can save lives if precancerous polyps or early cancers are found and successfully treated. This study aims to estimate the potential productivity loss (PPL) and associated avoidable colorectal cancer–related deaths among screen-eligible adults residing in lower EA counties in the United States. Methods Mortality and population data were used to examine colorectal cancer deaths (2008–2012) among adults aged 50 to 74 years in lower EA counties, and to estimate the expected number of deaths using the mortality experience from high EA counties. Excess deaths (observed–expected) were used to estimate potential years life lost, and the human capital method was used to estimate PPL in 2012 U.S. dollars. Results County-level colorectal cancer death rates were inversely associated with county-level EA. Of the 100,857 colorectal cancer deaths in lower EA counties, we estimated that more than 21,000 (1 in 5) was potentially avoidable and resulted in nearly $2 billion annual productivity loss. Conclusions County-level EA disparities contribute to a large number of potentially avoidable colorectal cancer–related deaths. Increased prevention and improved screening potentially could decrease deaths and help reduce the associated economic burden in lower EA communities. Increased screening could further reduce deaths in all EA groups. Impact These results estimate the large economic impact of potentially avoidable colorectal cancer–related deaths in economically disadvantaged communities, as measured by lower EA. PMID:28003180

Value of Combining Left Atrial Diameter and Amino-terminal Pro-brain Natriuretic Peptide to the CHA2DS2-VASc Score for Predicting Stroke and Death in Patients with Sick Sinus Syndrome after Pacemaker Implantation

Directory of Open Access Journals (Sweden)

Bin-Feng Mo

2017-01-01

Conclusions: CHA2DS2-VASc score is valuable for predicting stroke and death risk in patients with SSS after pacemaker implantation. The addition of LAD and NT-proBNP to the CHA2DS2-VASc score improved its predictive power for stroke and death, respectively, in this patient cohort. Future prospective studies are warranted to validate the benefit of adding LAD and NT-proBNP to the CHA2DS2-VASc score for predicting stroke and death risk in non-AF populations.

Heart rate reserve predicts cardiovascular death among physically unfit but otherwise healthy middle-aged men: a 35-year follow-up study.

Science.gov (United States)

Engeseth, Kristian; Hodnesdal, Christian; Grundvold, Irene; Liestøl, Knut; Gjesdal, Knut; Erikssen, Gunnar; Kjeldsen, Sverre E; Erikssen, Jan E; Bodegard, Johan; Skretteberg, Per Torger

2016-01-01

Heart rate reserve (HRR) has been reported to be inversely associated with cardiovascular (CV) disease and death. The impact of physical fitness (PF) on this relationship has not, however, been described in detail. We investigated how different levels of PF influenced the association between HRR and CV death during a 35-year follow-up. HRR and PF were measured in 2014 apparently healthy, middle-aged men during a symptom-limited bicycle exercise test in 1972-75. The men were divided into tertiles (T1-T3) by age-adjusted HRR. Morbidity and mortality data were registered from hospital charts through 2007 and the Norwegian Cause of Death Registry. Adjusted Cox proportional hazard regression models were used to calculate risks. Incidence of CV death was 528 (26%) during median 30 years of follow-up. Men with the lowest HRR had 41% (HR 1.41 [1.14-1.75]) increased risk of CV death compared with the men with the highest. We found a significant interaction between age-adjusted PF and HRR. After stratifying the men by PF, results were statistically significant only among men with the lowest PF, where the men with lowest HRR had a 70% (HR 1.70 [1.12-2.67]) increased risk of CV death compared with the men with the highest. Low HRR was independently associated with increased risk of CV death in apparently healthy, middle-aged men. The predictive impact of HRR on CV death risk was, however, confined to unfit men. © The European Society of Cardiology 2014.

LABOR PRODUCTIVITY AS A FACTOR FOR BANKRUPTCY PREDICTION

Directory of Open Access Journals (Sweden)

Daniel BRÎNDESCU – OLARIU

2014-12-01

Full Text Available The current study evaluates the potential of the labor productivity in predicting corporate bankruptcy. The population subjected to the analysis included all companies form Timis County with yearly sales of over 2200 Euros. The interest for the labor productivity was based on the recommendations of the scientific literature, as well as on the availability of information concerning its values to all stakeholders. The event on which the research was focused was represented by the manifestation of bankruptcy 2 years after the date of the financial statements of reference. All tests were performed over a paired sample of 1424 companies. The methodology employed in evaluating the potential of the labor productivity was based on the general accuracy ensured by the ratio (63.2% and the Area Under the ROC Curve (0.665. The results confirm the practical utility of the labor productivity in the prediction of bankruptcy.

Prediction of frozen food properties during freezing using product composition.

Science.gov (United States)

Boonsupthip, W; Heldman, D R

2007-06-01

Frozen water fraction (FWF), as a function of temperature, is an important parameter for use in the design of food freezing processes. An FWF-prediction model, based on concentrations and molecular weights of specific product components, has been developed. Published food composition data were used to determine the identity and composition of key components. The model proposed in this investigation had been verified using published experimental FWF data and initial freezing temperature data, and by comparison to outputs from previously published models. It was found that specific food components with significant influence on freezing temperature depression of food products included low molecular weight water-soluble compounds with molality of 50 micromol per 100 g food or higher. Based on an analysis of 200 high-moisture food products, nearly 45% of the experimental initial freezing temperature data were within an absolute difference (AD) of +/- 0.15 degrees C and standard error (SE) of +/- 0.65 degrees C when compared to values predicted by the proposed model. The predicted relationship between temperature and FWF for all analyzed food products provided close agreements with experimental data (+/- 0.06 SE). The proposed model provided similar prediction capability for high- and intermediate-moisture food products. In addition, the proposed model provided statistically better prediction of initial freezing temperature and FWF than previous published models.

Moderate extracellular acidification inhibits capsaicin-induced cell death through regulating calcium mobilization, NF-κB translocation and ROS production in synoviocytes

International Nuclear Information System (INIS)

Hu, Fen; Yang, Shuang; Zhao, Dan; Zhu, Shuyan; Wang, Yuxiang; Li, Junying

2012-01-01

Highlights: ► Moderate extracellular acidification regulates intracellular Ca 2+ mobilization. ► Moderate acidification activates NF-κB nuclear translocation in synoviocytes. ► Moderate acidification depresses the ROS production induced by capsaicin. ► Moderate acidification inhibits capsaicin-caused synoviocyte death. -- Abstract: We previously show the expression of transient receptor potential vanilloid 1 (TRPV1) in primary synoviocytes from collagen-induced arthritis (CIA) rats. Capsaicin and lowered extracellular pH from 7.4 to 5.5 induce cell death through TRPV1-mediated Ca 2+ entry and reactive oxygen species (ROS) production. However, under the pathological condition in rheumatoid arthritis, the synovial fluid is acidified to a moderate level (about pH 6.8). In the present study, we examined the effects of pH 6.8 on the TRPV1-mediated cell death. Our finding is different or even opposite from what was observed at pH 5.5. We found that the moderate extracellular acidification (from pH 7.4 to 6.8) inhibited the capsaicin-induced Ca 2+ entry through attenuating the activity of TRPV1. In the mean time, it triggered a phospholipse C (PLC)-related Ca 2+ release from intracellular stores. The nuclear translocation of NF-κB was found at pH 6.8, and this also depends on PLC activation. Moreover, the capsaicin-evoked massive ROS production and cell death were depressed at pH 6.8, both of which are dependent on the activation of PLC and NF-κB. Taken together, these results suggested that the moderate extracellular acidification inhibited the capsaicin-induced synoviocyte death through regulating Ca 2+ mobilization, activating NF-κB nuclear translocation and depressing ROS production.

Moderate extracellular acidification inhibits capsaicin-induced cell death through regulating calcium mobilization, NF-{kappa}B translocation and ROS production in synoviocytes

Energy Technology Data Exchange (ETDEWEB)

Hu, Fen; Yang, Shuang; Zhao, Dan; Zhu, Shuyan; Wang, Yuxiang [Department of Biophysics, School of Physics and Key Laboratory of Bioactive Materials of Education Ministry, Nankai University, Tianjin 300071 (China); Li, Junying, E-mail: jyli04@nankai.edu.cn [Department of Biophysics, School of Physics and Key Laboratory of Bioactive Materials of Education Ministry, Nankai University, Tianjin 300071 (China)

2012-07-20

Highlights: Black-Right-Pointing-Pointer Moderate extracellular acidification regulates intracellular Ca{sup 2+} mobilization. Black-Right-Pointing-Pointer Moderate acidification activates NF-{kappa}B nuclear translocation in synoviocytes. Black-Right-Pointing-Pointer Moderate acidification depresses the ROS production induced by capsaicin. Black-Right-Pointing-Pointer Moderate acidification inhibits capsaicin-caused synoviocyte death. -- Abstract: We previously show the expression of transient receptor potential vanilloid 1 (TRPV1) in primary synoviocytes from collagen-induced arthritis (CIA) rats. Capsaicin and lowered extracellular pH from 7.4 to 5.5 induce cell death through TRPV1-mediated Ca{sup 2+} entry and reactive oxygen species (ROS) production. However, under the pathological condition in rheumatoid arthritis, the synovial fluid is acidified to a moderate level (about pH 6.8). In the present study, we examined the effects of pH 6.8 on the TRPV1-mediated cell death. Our finding is different or even opposite from what was observed at pH 5.5. We found that the moderate extracellular acidification (from pH 7.4 to 6.8) inhibited the capsaicin-induced Ca{sup 2+} entry through attenuating the activity of TRPV1. In the mean time, it triggered a phospholipse C (PLC)-related Ca{sup 2+} release from intracellular stores. The nuclear translocation of NF-{kappa}B was found at pH 6.8, and this also depends on PLC activation. Moreover, the capsaicin-evoked massive ROS production and cell death were depressed at pH 6.8, both of which are dependent on the activation of PLC and NF-{kappa}B. Taken together, these results suggested that the moderate extracellular acidification inhibited the capsaicin-induced synoviocyte death through regulating Ca{sup 2+} mobilization, activating NF-{kappa}B nuclear translocation and depressing ROS production.

Pre-operative Carotid Plaque Echolucency Assessment has no Predictive Value for Long-Term Risk of Stroke or Cardiovascular Death in Patients Undergoing Carotid Endarterectomy.

Science.gov (United States)

de Waard, D; de Borst, G J; Bulbulia, R; Pan, H; Halliday, A

2017-08-01

In patients with carotid stenosis receiving medical treatment, carotid plaque echolucency has been thought to predict risk of future stroke and of other cardiovascular events. This study evaluated the prognostic value of pre-operative plaque echolucency for future stroke and cardiovascular death in patients undergoing carotid endarterectomy in the first Asymptomatic Carotid Surgery Trial (ACST-1). In ACST-1, 1832/3120 patients underwent carotid endarterectomy (CEA), of whom 894 had visual echolucency assessment according to the Gray-Weale classification. During follow-up patients were monitored both for peri-procedural (i.e. within 30 days) death, stroke, or MI, and for long-term risk of stroke or cardiovascular death. Unconditional maximum likelihood estimation was used to calculate odds ratios of peri-procedural risk and Kaplan-Meier statistics with log-rank test were used to compare cumulative long-term risks. Of 894 operated patients in whom echolucency was assessed, 458 plaques (51%) were rated as echolucent and peri-procedural risk of death/stroke/MI in these patients was non-significantly higher when compared with patients with non-echolucent plaques (OR 1.48 [95% CI 0.76-2.88], p = .241). No differences were found in the 10 year risk of any stroke (30/447 [11.6%] vs. 29/433 [11.0%], p = .900) or cardiovascular (non-stroke) death (85/447 [27.9%] vs. 93/433 [32.1%], p = .301). In ACST-1, carotid plaque echolucency assessment in patients undergoing CEA offered no predictive value with regard to peri-operative or long-term stroke risk or of cardiovascular (non-stroke) death. Copyright © 2017 The Authors. Published by Elsevier Ltd.. All rights reserved.

Wind farms production: Control and prediction

Science.gov (United States)

El-Fouly, Tarek Hussein Mostafa

Wind energy resources, unlike dispatchable central station generation, produce power dependable on external irregular source and that is the incident wind speed which does not always blow when electricity is needed. This results in the variability, unpredictability, and uncertainty of wind resources. Therefore, the integration of wind facilities to utility electrical grid presents a major challenge to power system operator. Such integration has significant impact on the optimum power flow, transmission congestion, power quality issues, system stability, load dispatch, and economic analysis. Due to the irregular nature of wind power production, accurate prediction represents the major challenge to power system operators. Therefore, in this thesis two novel models are proposed for wind speed and wind power prediction. One proposed model is dedicated to short-term prediction (one-hour ahead) and the other involves medium term prediction (one-day ahead). The accuracy of the proposed models is revealed by comparing their results with the corresponding values of a reference prediction model referred to as the persistent model. Utility grid operation is not only impacted by the uncertainty of the future production of wind farms, but also by the variability of their current production and how the active and reactive power exchange with the grid is controlled. To address this particular task, a control technique for wind turbines, driven by doubly-fed induction generators (DFIGs), is developed to regulate the terminal voltage by equally sharing the generated/absorbed reactive power between the rotor-side and the gridside converters. To highlight the impact of the new developed technique in reducing the power loss in the generator set, an economic analysis is carried out. Moreover, a new aggregated model for wind farms is proposed that accounts for the irregularity of the incident wind distribution throughout the farm layout. Specifically, this model includes the wake effect

Antimicrobial resistance predicts death in Tanzanian children with bloodstream infections: a prospective cohort study

Directory of Open Access Journals (Sweden)

Msangi Viola

2007-05-01

Full Text Available Abstract Background Bloodstream infection is a common cause of hospitalization, morbidity and death in children. The impact of antimicrobial resistance and HIV infection on outcome is not firmly established. Methods We assessed the incidence of bloodstream infection and risk factors for fatal outcome in a prospective cohort study of 1828 consecutive admissions of children aged zero to seven years with signs of systemic infection. Blood was obtained for culture, malaria microscopy, HIV antibody test and, when necessary, HIV PCR. We recorded data on clinical features, underlying diseases, antimicrobial drug use and patients' outcome. Results The incidence of laboratory-confirmed bloodstream infection was 13.9% (255/1828 of admissions, despite two thirds of the study population having received antimicrobial therapy prior to blood culture. The most frequent isolates were klebsiella, salmonellae, Escherichia coli, enterococci and Staphylococcus aureus. Furthermore, 21.6% had malaria and 16.8% HIV infection. One third (34.9% of the children with laboratory-confirmed bloodstream infection died. The mortality rate from Gram-negative bloodstream infection (43.5% was more than double that of malaria (20.2% and Gram-positive bloodstream infection (16.7%. Significant risk factors for death by logistic regression modeling were inappropriate treatment due to antimicrobial resistance, HIV infection, other underlying infectious diseases, malnutrition and bloodstream infection caused by Enterobacteriaceae, other Gram-negatives and candida. Conclusion Bloodstream infection was less common than malaria, but caused more deaths. The frequent use of antimicrobials prior to blood culture may have hampered the detection of organisms susceptible to commonly used antimicrobials, including pneumococci, and thus the study probably underestimates the incidence of bloodstream infection. The finding that antimicrobial resistance, HIV-infection and malnutrition predict fatal

Sudden Cardiac Death

DEFF Research Database (Denmark)

Risgaard, Bjarke; Winkel, Bo Gregers; Jabbari, Reza

2017-01-01

Objectives This study sought to describe the use of pharmacotherapy in a nationwide cohort of young patients with sudden cardiac death (SCD). Background Several drugs have been associated with an increased risk of SCD and sudden arrhythmic death syndrome (SADS). It remains unclear how...... pharmacotherapy may contribute to the overall burden of SCD in the general population. Methods This was a nationwide study that included all deaths that occurred between 2000 and 2009 and between 2007 and 2009 in people age 1 to 35 years and 36 to 49 years, respectively. Two physicians identified all SCDs through...... review of death certificates. Autopsy reports were collected. Pharmacotherapy prescribed within 90 days before SCD was identified in the Danish Registry of Medicinal Product Statistics. Results We identified 1,363 SCDs; median age was 38 years (interquartile range: 29 to 45 years), and 72% (n = 975) were men...

Predicting women purchase intention for green food products in Indonesia

OpenAIRE

Sudiyanti, Sudiyanti

2009-01-01

Masteroppgave i økonomi og administrasjon - Universitetet i Agder 2009 This study investigated the applicability of the Theory of Planned Behavior in predicting women consumers on their intention towards purchasing green food products among 406 participants. Using linear regression, five independent variables had been examined: attitude towards green food products, subjective norms, perceived behavioral control, and perceived difficulty in predicting purchase intention. The ...

Cardiac troponin-I on diagnosis predicts early death and refractoriness in acquired thrombotic thrombocytopenic purpura. Experience of the French Thrombotic Microangiopathies Reference Center.

Science.gov (United States)

Benhamou, Y; Boelle, P-Y; Baudin, B; Ederhy, S; Gras, J; Galicier, L; Azoulay, E; Provôt, F; Maury, E; Pène, F; Mira, J-P; Wynckel, A; Presne, C; Poullin, P; Halimi, J-M; Delmas, Y; Kanouni, T; Seguin, A; Mousson, C; Servais, A; Bordessoule, D; Perez, P; Hamidou, M; Cohen, A; Veyradier, A; Coppo, P

2015-02-01

Cardiac involvement is a major cause of mortality in patients with thrombotic thrombocytopenic purpura (TTP). However, diagnosis remains underestimated and delayed, owing to subclinical injuries. Cardiac troponin-I measurement (cTnI) on admission could improve the early diagnosis of cardiac involvement and have prognostic value. To assess the predictive value of cTnI in patients with TTP for death or refractoriness. The study involved a prospective cohort of adult TTP patients with acquired severe ADAMTS-13 deficiency ( 0.1 μg L(-1) ) was present in 78 patients (59%), of whom 46 (59%) had no clinical cardiac involvement. The main outcomes were death (25%) and refractoriness (17%). Age (P = 0.02) and cTnI level (P = 0.002) showed the greatest impact on survival. A cTnI level of > 0.25 μg L(-1) was the only independent factor in predicting death (odds ratio [OR] 2.87; 95% confidence interval [CI] 1.13-7.22; P = 0.024) and/or refractoriness (OR 3.03; 95% CI 1.27-7.3; P = 0.01). A CTnI level of > 0.25 μg L(-1) at presentation in patients with TTP appears to be an independent factor associated with a three-fold increase in the risk of death or refractoriness. Therefore, cTnI level should be considered as a prognostic indicator in patients diagnosed with TTP. © 2014 International Society on Thrombosis and Haemostasis.

Death and Death Anxiety

OpenAIRE

Gonca Karakus; Zehra Ozturk; Lut Tamam

2012-01-01

Although death and life concepts seem so different from each other, some believe that death and life as a whole that death is accepted as the goal of life and death completes life. In different cultures, societies and disciplines, there have been very different definitions of death which changes according to personality, age, religion and cultural status of the individual. Attitudes towards death vary dramatically according to individuals. As for the death anxiety, it is a feeling which start...

Right ventricular function assessed by 2D strain analysis predicts ventricular arrhythmias and sudden cardiac death in patients after acute myocardial infarction

DEFF Research Database (Denmark)

Risum, Niels; Valeur, Nana; Søgaard, Peter

2017-01-01

Aims: Left ventricular function is a well-established predictor of malignant ventricular arrhythmias, but little is known about the importance of right ventricular (RV) function. The aim of this study was to investigate the importance of RV function for prediction of sudden cardiac death (SCD) or...

Predictive value of long-term changes of growth differentiation factor-15 over a 27-year-period for heart failure and death due to coronary heart disease.

Science.gov (United States)

Fluschnik, Nina; Ojeda, Francisco; Zeller, Tanja; Jørgensen, Torben; Kuulasmaa, Kari; Becher, Peter Moritz; Sinning, Christoph; Blankenberg, Stefan; Westermann, Dirk

2018-01-01

Growth differentiation factor-15 (GDF-15), Cystatin C and C-reactive protein (CRP) have been discussed as biomarkers for prediction of cardiac diseases. The aim of this study was to investigate the predictive value of single and repeated measurements of GDF-15 compared to Cystatin C and CRP for incidence of heart failure (HF) and death due to coronary heart disease (CHD) in the general population. Levels of GDF-15, CRP and Cystatin C were determined in three repeated measurements collected 5 years apart in the DAN-MONICA (Danish-Multinational MONitoring of trends and determinants in Cardiovascular disease) cohort (participants at baseline n = 3785). Cox regression models adjusted for cardiovascular risk factors revealed significantly increased hazard ratios (HR) for GDF-15 for incident HF 1.36 (HR per interquartile range (IQR) increase, 95% confidence interval (CI): 1.16; 1.59) and for death from CHD 1.51 (HR per IQR increase, 95% CI: 1.31, 1.75) (both with p<0.001). Joint modeling of time-to-event and longitudinal GDF-15 over a median 27-year follow-up period showed that the marker evolution was positively associated with death of CHD (HR per IQR increase 3.02 95% CI: (2.26, 4.04), p < 0.001) and HF (HR per IQR increase 2.12 95% CI: (1.54, 2.92), p<0.001). However using Cox models with follow-up time starting at the time of the third examination, serial measurement of GDF-15, modeled as changes between the measurements, did not improve prediction over that of the most recent measurement. GDF-15 is a promising biomarker for prediction of HF and death due to CHD in the general population, which may provide prognostic information to already established clinical biomarkers. Repeated measurements of GDF-15 displayed only a slight improvement in the prediction of these endpoints compared to a single measurement.

Predicting the economic costs and property value losses attributed to sudden oak death damage in California (2010-2020).

Science.gov (United States)

Kovacs, Kent; Václavík, Tomáš; Haight, Robert G; Pang, Arwin; Cunniffe, Nik J; Gilligan, Christopher A; Meentemeyer, Ross K

2011-04-01

Phytophthora ramorum, cause of sudden oak death, is a quarantined, non-native, invasive forest pathogen resulting in substantial mortality in coastal live oak (Quercus agrifolia) and several other related tree species on the Pacific Coast of the United States. We estimate the discounted cost of oak treatment, removal, and replacement on developed land in California communities using simulations of P. ramorum spread and infection risk over the next decade (2010-2020). An estimated 734 thousand oak trees occur on developed land in communities in the analysis area. The simulations predict an expanding sudden oak death (SOD) infestation that will likely encompass most of northwestern California and warrant treatment, removal, and replacement of more than 10 thousand oak trees with discounted cost of $7.5 million. In addition, we estimate the discounted property losses to single family homes of $135 million. Expanding the land base to include developed land outside as well as inside communities doubles the estimates of the number of oak trees killed and the associated costs and losses. The predicted costs and property value losses are substantial, but many of the damages in urban areas (e.g. potential losses from increased fire and safety risks of the dead trees and the loss of ecosystem service values) are not included. Copyright © 2010 Elsevier Ltd. All rights reserved.

Deaths From Secondhand Smoke Exposure in the United States: Economic Implications

Science.gov (United States)

Sung, Hai-Yen; Shi, Yanling

2012-01-01

Objectives. We estimated the number of deaths attributable to secondhand smoke (SHS), years of potential life lost (YPLL), and value of lost productivity for different US racial/ethnic groups in 2006. Methods. We determined the number of SHS–related deaths among nonsmokers from 2 adult and 4 infant conditions using an epidemiological approach. We estimated adult SHS exposure using detectable serum cotinine. For each death, we determined the YPLL and the value of lost productivity. Results. SHS exposure resulted in more than 42 000 deaths: more than 41 000 adults and nearly 900 infants. Blacks accounted for 13% of all deaths but 24% to 36% of infant deaths. SHS–attributable deaths resulted in a loss of nearly 600 000 YPLL and $6.6 billion of lost productivity, or $158 000 per death. The value of lost productivity per death was highest among Blacks ($238 000) and Hispanics ($193 000). Conclusions. The economic toll of SHS exposure is substantial, with communities of color having the greatest losses. Interventions need to be designed to reduce the health and economic burden of smoking on smokers and nonsmokers alike and on particularly vulnerable groups. PMID:22994180

Causes of accidental childhood deaths in China in 2010

DEFF Research Database (Denmark)

Chan, Kit Yee; Yu, Xin-Wei; Lu, Jia-Peng

2015-01-01

-4 years in China, of which 31 633 (10.1%) were accidental. Accidental deaths contributed 7240 (4.0%) of all deaths in neonatal period, 8838 (10.5%) among all post-neonatal infant deaths, and 15 554 (31.7%) among children with 1-4 years of age. Among four tested models, the most predictive was used...

Predicted and verified deviations from Zipf's law in ecology of competing products.

Science.gov (United States)

Hisano, Ryohei; Sornette, Didier; Mizuno, Takayuki

2011-08-01

Zipf's power-law distribution is a generic empirical statistical regularity found in many complex systems. However, rather than universality with a single power-law exponent (equal to 1 for Zipf's law), there are many reported deviations that remain unexplained. A recently developed theory finds that the interplay between (i) one of the most universal ingredients, namely stochastic proportional growth, and (ii) birth and death processes, leads to a generic power-law distribution with an exponent that depends on the characteristics of each ingredient. Here, we report the first complete empirical test of the theory and its application, based on the empirical analysis of the dynamics of market shares in the product market. We estimate directly the average growth rate of market shares and its standard deviation, the birth rates and the "death" (hazard) rate of products. We find that temporal variations and product differences of the observed power-law exponents can be fully captured by the theory with no adjustable parameters. Our results can be generalized to many systems for which the statistical properties revealed by power-law exponents are directly linked to the underlying generating mechanism.

Genetic testing to predict sudden cardiac death: current perspectives and future goals

Directory of Open Access Journals (Sweden)

Silvia G. Priori

2014-01-01

Full Text Available It is known that monogenic traits may predispose young and otherwise healthy individuals to die suddenly. Diseases such as Long QT Syndrome, Brugada Syndrome and Arrhythmogenic Right Ventricular Cardiomyopathy are well known causes of arrhythmic death in young individuals. For several years the concept of “genetic predisposition” to sudden cardiac death has been limited to these uncommon diseases. In the last few years clinical data have supported the view that risk of dying suddenly may cluster in families, supporting the hypothesis of a genetic component for sudden cardiac death. In this review I will try to provide an overview of current knowledge about genetics of sudden death. I will approach this topic by discussing first where we stand in the use of genetics for risk stratification and therapy selection in monogenic diseases and I will then move to discuss the contribution of genetics to patient profiling in acquired cardiovascular diseases.

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

Science.gov (United States)

Ossiander, Eric M

2015-01-01

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

Predicting death from surgery for lung cancer

DEFF Research Database (Denmark)

O'Dowd, Emma L; Lüchtenborg, Margreet; Baldwin, David R

2016-01-01

OBJECTIVES: Current British guidelines advocate the use of risk prediction scores such as Thoracoscore to estimate mortality prior to radical surgery for non-small cell lung cancer (NSCLC). A recent publication used the National Lung Cancer Audit (NLCA) to produce a score to predict 90day mortali...

Long-term prediction of prostate cancer diagnosis and death using PSA and obesity related anthropometrics at early middle age: data from the malmö preventive project.

Science.gov (United States)

Assel, Melissa J; Gerdtsson, Axel; Thorek, Daniel L J; Carlsson, Sigrid V; Malm, Johan; Scardino, Peter T; Vickers, Andrew; Lilja, Hans; Ulmert, David

2018-01-19

To evaluate whether anthropometric parameters add to PSA measurements in middle-aged men for risk assessment of prostate cancer (PCa) diagnosis and death. After adjusting for PSA, both BMI and weight were significantly associated with an increased risk of PCa death with the odds of a death corresponding to a 10 kg/m2 or 10 kg increase being 1.58 (95% CI 1.10, 2.28; p = 0.013) and 1.14 (95% CI 1.02, 1.26; p = 0.016) times greater, respectively. AUCs did not meaningfully increase with the addition of weight or BMI to prediction models including PSA. In 1974 to 1986, 22,444 Swedish men aged 44 to 50 enrolled in Malmö Preventive Project, Sweden, and provided blood samples and anthropometric data. Rates of PSA screening in the cohort were very low. Documentation of PCa diagnosis and disease-specific death up to 2014 was retrieved through national registries. Among men with anthropometric measurements available at baseline, a total of 1692 men diagnosed with PCa were matched to 4190 controls, and 464 men who died of disease were matched to 1390 controls. Multivariable conditional logistic regression was used to determine whether diagnosis or death from PCa were associated with weight and body mass index (BMI) at adulthood after adjusting for PSA. Men with higher BMI and weight at early middle age have an increased risk of PCa diagnosis and death after adjusting for PSA. However, in a multi-variable numerical statistical model, BMI and weight do not importantly improve the predictive accuracy of PSA. Risk-stratification of screening should be based on PSA without reference to anthropometrics.

The ability of self-rated health to predict mortality among community-dwelling elderly individuals differs according to the specific cause of death: data from the NEDICES Cohort

Science.gov (United States)

Fernández-Ruiz, Mario; Guerra-Vales, Juan M.; Trincado, Rocío; Fernández, Rebeca; Medrano, María José; Villarejo, Alberto; Benito-León, Julián; Bermejo-Pareja, Félix

2013-01-01

Background The biomedical and psychosocial mechanisms underlying the relationship between self-rated health (SRH) and mortality in elderly individuals remain unclear. Objective To assess the association between different measurements of subjective health (global, age-comparative, and time-comparative SRH) and cause-specific mortality. Methods Neurological Disorders in Central Spain (NEDICES) is a prospective population-based survey of the prevalence and incidence of major age-associated conditions. Data on demographic and health-related variables were collected from 5,278 subjects (≥65 years) at the baseline questionnaire. Thirteen-year mortality and cause of death were obtained from the National Death Registry. Adjusted hazard ratios (aHR) for SRH and all-cause and cause-specific mortality were estimated by Cox proportional hazard models. Results At baseline, 4,958 participants (93.9%) answered the SRH questionnaire. At the end of follow-up 2,468 (49.8%) participants had died (of whom 723 [29.2%] died from cardiovascular diseases, 609 [24.7%] from cancer, and 359 [14.5%] from respiratory diseases). Global SRH predicted independently all-cause mortality (aHR for “poor or very poor” vs. “very good” category: 1.39; 95% confidence interval [CI]: 1.15–1.69). Analysis of cause-specific mortality revealed that global SRH was an independent predictor for death due to respiratory diseases (aHR for “poor or very poor” vs. “very good” category: 2.61; 95% CI: 1.55–4.39), whereas age-comparative SRH exhibited a gradient effect on the risk of death due to stroke. Time-comparative SRH provided small additional predictive value. Conclusions The predictive ability of SRH for mortality largely differs according to the specific cause of death, with the strongest associations found for respiratory disease and stroke mortality. PMID:23615509

recommendations for completing death notification forms in hiv

African Journals Online (AJOL)

2008-10-14

Oct 14, 2008 ... (including tuberculosis and respiratory diseases) with age-specific death rates for HIV as predicted by the. Actuarial Society of South Africa model (ASSA 2000), and observed a high level of correlation, concluding that these diseases account for the 'missing' HIV cause of death statistics, and showing that ...

Notes from the Field: Death Following Ingestion of an Edible Marijuana Product--Colorado, March 2014.

Science.gov (United States)

Hancock-Allen, Jessica B; Barker, Lisa; VanDyke, Michael; Holmes, Dawn B

2015-07-24

In March 2014, the Colorado Department of Public Health and Environment (CDPHE) learned of the death of a man aged 19 years after consuming an edible marijuana product. CDPHE reviewed autopsy and police reports to assess factors associated with his death and to guide prevention efforts. The decedent's friend, aged 23 years, had purchased marijuana cookies and provided one to the decedent. A police report indicated that initially the decedent ate only a single piece of his cookie, as directed by the sales clerk. Approximately 30-60 minutes later, not feeling any effects, he consumed the remainder of the cookie. During the next 2 hours, he reportedly exhibited erratic speech and hostile behaviors. Approximately 3.5 hours after initial ingestion, and 2.5 hours after consuming the remainder of the cookie, he jumped off a fourth floor balcony and died from trauma. The autopsy, performed 29 hours after time of death, found marijuana intoxication as a chief contributing factor. Quantitative toxicologic analyses for drugs of abuse, synthetic cannabinoid, and cathinones ("bath salts") were performed on chest cavity blood by gas chromatography and mass spectrometry. The only confirmed findings were cannabinoids (7.2 ng/mL delta-9 tetrahydrocannabinol [THC] and 49 ng/mL delta-9 carboxy-THC, an inactive marijuana metabolite). The legal whole blood limit of delta-9 THC for driving a vehicle in Colorado is 5.0 ng/mL. This was the first reported death in Colorado linked to marijuana consumption without evidence of polysubstance use since the state approved recreational use of marijuana in 2012.

Prediction of seasonal climate-induced variations in global food production

Science.gov (United States)

Iizumi, Toshichika; Sakuma, Hirofumi; Yokozawa, Masayuki; Luo, Jing-Jia; Challinor, Andrew J.; Brown, Molly E.; Sakurai, Gen; Yamagata, Toshio

2013-10-01

Consumers, including the poor in many countries, are increasingly dependent on food imports and are thus exposed to variations in yields, production and export prices in the major food-producing regions of the world. National governments and commercial entities are therefore paying increased attention to the cropping forecasts of important food-exporting countries as well as to their own domestic food production. Given the increased volatility of food markets and the rising incidence of climatic extremes affecting food production, food price spikes may increase in prevalence in future years. Here we present a global assessment of the reliability of crop failure hindcasts for major crops at two lead times derived by linking ensemble seasonal climatic forecasts with statistical crop models. We found that moderate-to-marked yield loss over a substantial percentage (26-33%) of the harvested area of these crops is reliably predictable if climatic forecasts are near perfect. However, only rice and wheat production are reliably predictable at three months before the harvest using within-season hindcasts. The reliabilities of estimates varied substantially by crop--rice and wheat yields were the most predictable, followed by soybean and maize. The reasons for variation in the reliability of the estimates included the differences in crop sensitivity to the climate and the technology used by the crop-producing regions. Our findings reveal that the use of seasonal climatic forecasts to predict crop failures will be useful for monitoring global food production and will encourage the adaptation of food systems toclimatic extremes.

A statistical approach to evaluate the performance of cardiac biomarkers in predicting death due to acute myocardial infarction: time-dependent ROC curve

Science.gov (United States)

Karaismailoğlu, Eda; Dikmen, Zeliha Günnur; Akbıyık, Filiz; Karaağaoğlu, Ahmet Ergun

2018-04-30

Background/aim: Myoglobin, cardiac troponin T, B-type natriuretic peptide (BNP), and creatine kinase isoenzyme MB (CK-MB) are frequently used biomarkers for evaluating risk of patients admitted to an emergency department with chest pain. Recently, time- dependent receiver operating characteristic (ROC) analysis has been used to evaluate the predictive power of biomarkers where disease status can change over time. We aimed to determine the best set of biomarkers that estimate cardiac death during follow-up time. We also obtained optimal cut-off values of these biomarkers, which differentiates between patients with and without risk of death. A web tool was developed to estimate time intervals in risk. Materials and methods: A total of 410 patients admitted to the emergency department with chest pain and shortness of breath were included. Cox regression analysis was used to determine an optimal set of biomarkers that can be used for estimating cardiac death and to combine the significant biomarkers. Time-dependent ROC analysis was performed for evaluating performances of significant biomarkers and a combined biomarker during 240 h. The bootstrap method was used to compare statistical significance and the Youden index was used to determine optimal cut-off values. Results : Myoglobin and BNP were significant by multivariate Cox regression analysis. Areas under the time-dependent ROC curves of myoglobin and BNP were about 0.80 during 240 h, and that of the combined biomarker (myoglobin + BNP) increased to 0.90 during the first 180 h. Conclusion: Although myoglobin is not clinically specific to a cardiac event, in our study both myoglobin and BNP were found to be statistically significant for estimating cardiac death. Using this combined biomarker may increase the power of prediction. Our web tool can be useful for evaluating the risk status of new patients and helping clinicians in making decisions.

Algorithm for predicting death among older adults in the home care setting: study protocol for the Risk Evaluation for Support: Predictions for Elder-life in the Community Tool (RESPECT).

Science.gov (United States)

Hsu, Amy T; Manuel, Douglas G; Taljaard, Monica; Chalifoux, Mathieu; Bennett, Carol; Costa, Andrew P; Bronskill, Susan; Kobewka, Daniel; Tanuseputro, Peter

2016-12-01

Older adults living in the community often have multiple, chronic conditions and functional impairments. A challenge for healthcare providers working in the community is the lack of a predictive tool that can be applied to the broad spectrum of mortality risks observed and may be used to inform care planning. To predict survival time for older adults in the home care setting. The final mortality risk algorithm will be implemented as a web-based calculator that can be used by older adults needing care and by their caregivers. Open cohort study using the Resident Assessment Instrument for Home Care (RAI-HC) data in Ontario, Canada, from 1 January 2007 to 31 December 2013. The derivation cohort will consist of ∼437 000 older adults who had an RAI-HC assessment between 1 January 2007 and 31 December 2012. A split sample validation cohort will include ∼122 000 older adults with an RAI-HC assessment between 1 January and 31 December 2013. Predicted survival from the time of an RAI-HC assessment. All deaths (n≈245 000) will be ascertained through linkage to a population-based registry that is maintained by the Ministry of Health in Ontario. Proportional hazards regression will be estimated after assessment of assumptions. Predictors will include sociodemographic factors, social support, health conditions, functional status, cognition, symptoms of decline and prior healthcare use. Model performance will be evaluated for 6-month and 12-month predicted risks, including measures of calibration (eg, calibration plots) and discrimination (eg, c-statistics). The final algorithm will use combined development and validation data. Research ethics approval has been granted by the Sunnybrook Health Sciences Centre Review Board. Findings will be disseminated through presentations at conferences and in peer-reviewed journals. NCT02779309, Pre-results. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to

Analysis of the production of salmon fillet - Prediction of production yield

DEFF Research Database (Denmark)

Johansson, Gine Ørnholt; Guðjónsdóttir, María; Nielsen, Michael Engelbrecht

2017-01-01

The aim was to investigate the influence of raw material variation in Atlantic salmon from aquaculture on filleting yield, and to develop a decision tool for choosing the appropriate raw material for optimized yield. This was achieved by tracking salmon on an individual level (n = 60) through...... a primary production site. The majority of the salmon exhibited a heavier right fillet compared to the left fillet after filleting. No explicit explanation was found for this observation although the heading procedure was shown to have a large impact. A Partial Least Square model was built to predict....... This may facilitate optimal planning of the production of salmon fillets by ordering and assigning the right batch to the right product category to obtain an optimal yield and quality....

Deaths related to lead poisoning in the United States, 1979-1998

International Nuclear Information System (INIS)

Kaufmann, R.B.; Staes, Catherine J.; Matte, Thomas D.

2003-01-01

This study was conducted to describe trends in US lead poisoning-relate deaths between 1979 and 1998. The predictive value of relevant ICD-9 codes was also evaluated. Multiple cause-of-death files were searched for record containing relevant ICD-9 codes, and underlying causes and demographic characteristics were assessed. For 1979-1988, death certificates were reviewed; lead source information was abstracted and accuracy of coding was determined. An estimated 200 lead poisoning-related deaths occurred from 1979 to 1998. Most were among males (74%), Blacks (67%), adults of age ≥45 years (76%), and Southerners (70%). The death rate was significantly lower in more recent years. An alcohol-related code was a contributing cause for 28% of adults. Only three of nine ICD-9 codes for lead poisoning were highl predictive of lead poisoning-related deaths. In conclusion, lead poisoning-related death rates have dropped dramatically since earlier decades and are continuing to decline. However, the findings imply that moonshine ingestion remains a source of high-dose lead exposure in adults

Advanced in-production hotspot prediction and monitoring with micro-topography

Science.gov (United States)

Fanton, P.; Hasan, T.; Lakcher, A.; Le-Gratiet, B.; Prentice, C.; Simiz, J.-G.; La Greca, R.; Depre, L.; Hunsche, S.

2017-03-01

At 28nm technology node and below, hot spot prediction and process window control across production wafers have become increasingly critical to prevent hotspots from becoming yield-limiting defects. We previously established proof of concept for a systematic approach to identify the most critical pattern locations, i.e. hotspots, in a reticle layout by computational lithography and combining process window characteristics of these patterns with across-wafer process variation data to predict where hotspots may become yield impacting defects [1,2]. The current paper establishes the impact of micro-topography on a 28nm metal layer, and its correlation with hotspot best focus variations across a production chip layout. Detailed topography measurements are obtained from an offline tool, and pattern-dependent best focus (BF) shifts are determined from litho simulations that include mask-3D effects. We also establish hotspot metrology and defect verification by SEM image contour extraction and contour analysis. This enables detection of catastrophic defects as well as quantitative characterization of pattern variability, i.e. local and global CD uniformity, across a wafer to establish hotspot defect and variability maps. Finally, we combine defect prediction and verification capabilities for process monitoring by on-product, guided hotspot metrology, i.e. with sampling locations being determined from the defect prediction model and achieved prediction accuracy (capture rate) around 75%

Hypothermic death: Possibility of diagnosis by post-mortem computed tomography

Energy Technology Data Exchange (ETDEWEB)

Kawasumi, Yusuke, E-mail: ssu@rad.med.tohoku.ac.jp [Tohoku University Graduate School of Medicine, Department of Clinical Imaging, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575 (Japan); Onozuka, Naoki; Kakizaki, Ayana [Tohoku University Graduate School of Medicine, Department of Clinical Imaging, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575 (Japan); Usui, Akihito, E-mail: t7402r0506@med.tohoku.ac.jp [Tohoku University Graduate School of Medicine, Department of Diagnostic Image Analysis, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575 (Japan); Hosokai, Yoshiyuki, E-mail: hosokai@med.tohoku.ac.jp [Tohoku University Graduate School of Medicine, Department of Diagnostic Image Analysis, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575 (Japan); Sato, Miho, E-mail: meifan58@m.tains.tohoku.ac.jp [Tohoku University Graduate School of Medicine, Department of Clinical Imaging, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575 (Japan); Saito, Haruo, E-mail: hsaito@med.tohoku.ac.jp [Tohoku University Graduate School of Medicine, Department of Diagnostic Image Analysis, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575 (Japan); Ishibashi, Tadashi, E-mail: tisibasi@med.tohoku.ac.jp [Tohoku University Graduate School of Medicine, Department of Clinical Imaging, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575 (Japan); Hayashizaki, Yoshie, E-mail: yoshie@forensic.med.tohoku.ac.jp [Tohoku University Graduate School of Medicine, Department of Forensic Medicine, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575 (Japan); Funayama, Masato, E-mail: funayama@forensic.med.tohoku.ac.jp [Tohoku University Graduate School of Medicine, Department of Forensic Medicine, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575 (Japan)

2013-02-15

Referring to our experience with post-mortem computed tomography (CT), many hypothermic death cases presented a lack of increase in lung-field concentration, blood clotting in the heart, thoracic aorta or pulmonary artery, and urine retention in the bladder. Thus we evaluated the diagnostic performance of post-mortem CT on hypothermic death based on the above-mentioned three findings. Twenty-four hypothermic death subjects and 53 non-hypothermic death subjects were examined. Two radiologists assessed the presence or lack of an increase in lung-field concentration, blood clotting in the heart, thoracic aorta or pulmonary artery, and measured urine volume in the bladder. Pearson's chi-square test and Mann–Whitney U-test were used to assess the relationship between the three findings and hypothermic death. The sensitivity, specificity, accuracy, positive predictive value (PPV) and negative predictive value (NPV) of the diagnosis were also calculated. Lack of an increase in lung-field concentration and blood clotting in the heart, thoracic aorta or pulmonary artery were significantly associated with hypothermic death (p = 0.0007, p < 0.0001, respectively). The hypothermic death cases had significantly more urine in the bladder than the non-hypothermic death cases (p = 0.0011). Regarding the diagnostic performance with all three findings, the sensitivity was 29.2% but the specificity was 100%. These three findings were more common in hypothermic death cases. Although the sensitivity was low, these findings will assist forensic physicians in diagnosing hypothermic death since the specificity was high.

Hypothermic death: Possibility of diagnosis by post-mortem computed tomography

International Nuclear Information System (INIS)

Kawasumi, Yusuke; Onozuka, Naoki; Kakizaki, Ayana; Usui, Akihito; Hosokai, Yoshiyuki; Sato, Miho; Saito, Haruo; Ishibashi, Tadashi; Hayashizaki, Yoshie; Funayama, Masato

2013-01-01

Referring to our experience with post-mortem computed tomography (CT), many hypothermic death cases presented a lack of increase in lung-field concentration, blood clotting in the heart, thoracic aorta or pulmonary artery, and urine retention in the bladder. Thus we evaluated the diagnostic performance of post-mortem CT on hypothermic death based on the above-mentioned three findings. Twenty-four hypothermic death subjects and 53 non-hypothermic death subjects were examined. Two radiologists assessed the presence or lack of an increase in lung-field concentration, blood clotting in the heart, thoracic aorta or pulmonary artery, and measured urine volume in the bladder. Pearson's chi-square test and Mann–Whitney U-test were used to assess the relationship between the three findings and hypothermic death. The sensitivity, specificity, accuracy, positive predictive value (PPV) and negative predictive value (NPV) of the diagnosis were also calculated. Lack of an increase in lung-field concentration and blood clotting in the heart, thoracic aorta or pulmonary artery were significantly associated with hypothermic death (p = 0.0007, p < 0.0001, respectively). The hypothermic death cases had significantly more urine in the bladder than the non-hypothermic death cases (p = 0.0011). Regarding the diagnostic performance with all three findings, the sensitivity was 29.2% but the specificity was 100%. These three findings were more common in hypothermic death cases. Although the sensitivity was low, these findings will assist forensic physicians in diagnosing hypothermic death since the specificity was high

Anethole induces apoptotic cell death accompanied by reactive oxygen species production and DNA fragmentation in Aspergillus fumigatus and Saccharomyces cerevisiae.

Science.gov (United States)

Fujita, Ken-Ichi; Tatsumi, Miki; Ogita, Akira; Kubo, Isao; Tanaka, Toshio

2014-02-01

trans-Anethole (anethole), a major component of anise oil, has a broad antimicrobial spectrum, and antimicrobial activity that is weaker than that of other antibiotics on the market. When combined with polygodial, nagilactone E, and n-dodecanol, anethole has been shown to possess significant synergistic antifungal activity against a budding yeast, Saccharomyces cerevisiae, and a human opportunistic pathogenic yeast, Candida albicans. However, the antifungal mechanism of anethole has not been completely determined. We found that anethole stimulated cell death of a human opportunistic pathogenic fungus, Aspergillus fumigatus, in addition to S. cerevisiae. The anethole-induced cell death was accompanied by reactive oxygen species production, metacaspase activation, and DNA fragmentation. Several mutants of S. cerevisiae, in which genes related to the apoptosis-initiating execution signals from mitochondria were deleted, were resistant to anethole. These results suggest that anethole-induced cell death could be explained by oxidative stress-dependent apoptosis via typical mitochondrial death cascades in fungi, including A. fumigatus and S. cerevisiae. © 2014 FEBS.

Rutile nanopowders for pigment production: Formation mechanism and particle size prediction

Science.gov (United States)

Zhang, Wu; Tang, Hongxin

2018-01-01

Formation mechanism and particle size prediction of rutile nanoparticles for pigment production were investigated. Anatase nanoparticles were observed by oriented attachment with parallel lattice fringe spaces of 0.2419 nm. Upon increasing the calcination temperature, the (1 1 0) plane of rutile was gradually observed, suggesting that the anatase (1 0 3) planes undergo internal structural rearrangement of oxygen and titanium ions into rutile phase due to ionic diffusion. Backpropagation neural network was used to predict particle size of rutile nanopowders, the prediction errors were all smaller than 2%, providing an efficient method to control particle size in pigment production.

LABOR PRODUCTIVITY AS A FACTOR FOR BANKRUPTCY PREDICTION

OpenAIRE

Daniel BRÎNDESCU – OLARIU

2014-01-01

The current study evaluates the potential of the labor productivity in predicting corporate bankruptcy. The population subjected to the analysis included all companies form Timis County with yearly sales of over 2200 Euros. The interest for the labor productivity was based on the recommendations of the scientific literature, as well as on the availability of information concerning its values to all stakeholders. The event on which the research was focused was represented by the manif...

p53 Activation following Rift Valley fever virus infection contributes to cell death and viral production.

Directory of Open Access Journals (Sweden)

Dana Austin

Full Text Available Rift Valley fever virus (RVFV is an emerging viral zoonosis that is responsible for devastating outbreaks among livestock and is capable of causing potentially fatal disease in humans. Studies have shown that upon infection, certain viruses have the capability of utilizing particular cellular signaling pathways to propagate viral infection. Activation of p53 is important for the DNA damage signaling cascade, initiation of apoptosis, cell cycle arrest and transcriptional regulation of multiple genes. The current study focuses on the role of p53 signaling in RVFV infection and viral replication. These results show an up-regulation of p53 phosphorylation at several serine sites after RVFV MP-12 infection that is highly dependent on the viral protein NSs. qRT-PCR data showed a transcriptional up-regulation of several p53 targeted genes involved in cell cycle and apoptosis regulation following RVFV infection. Cell viability assays demonstrate that loss of p53 results in less RVFV induced cell death. Furthermore, decreased viral titers in p53 null cells indicate that RVFV utilizes p53 to enhance viral production. Collectively, these experiments indicate that the p53 signaling pathway is utilized during RVFV infection to induce cell death and increase viral production.

Predictive biomarkers for death and rehospitalization in comorbid frail elderly heart failure patients.

Science.gov (United States)

Pacho, Cristina; Domingo, Mar; Núñez, Raquel; Lupón, Josep; Núñez, Julio; Barallat, Jaume; Moliner, Pedro; de Antonio, Marta; Santesmases, Javier; Cediel, Germán; Roura, Santiago; Pastor, M Cruz; Tor, Jordi; Bayes-Genis, Antoni

2018-05-09

Heart failure (HF) is associated with a high rate of readmissions within 30 days post-discharge and in the following year, especially in frail elderly patients. Biomarker data are scarce in this high-risk population. This study assessed the value of early post-discharge circulating levels of ST2, NT-proBNP, CA125, and hs-TnI for predicting 30-day and 1-year outcomes in comorbid frail elderly patients with HF with mainly preserved ejection fraction (HFpEF). Blood samples were obtained at the first visit shortly after discharge (4.9 ± 2 days). The primary endpoint was the composite of all-cause mortality or HF-related rehospitalization at 30 days and at 1 year. All-cause mortality alone at one year was also a major endpoint. HF-related rehospitalizations alone were secondary end-points. From February 2014 to November 2016, 522 consecutive patients attending the STOP-HF Clinic were included (57.1% women, age 82 ± 8.7 years, mean Barthel index 70 ± 25, mean Charlson comorbidity index 5.6 ± 2.2). The composite endpoint occurred in 8.6% patients at 30 days and in 38.5% at 1 year. In multivariable analysis, ST2 [hazard ratio (HR) 1.53; 95% CI 1.19-1.97; p = 0.001] was the only predictive biomarker at 30 days; at 1 year, both ST2 (HR 1.34; 95% CI 1.15-1.56; p < 0.001) and NT-proBNP (HR 1.19; 95% CI 1.02-1.40; p = 0.03) remained significant. The addition of ST2 and NT-proBNP into a clinical predictive model increased the AUC from 0.70 to 0.75 at 30 days (p = 0.02) and from 0.71 to 0.74 at 1 year (p < 0.05). For all-cause death at 1 year, ST2 (HR 1.50; 95% CI 1.26-1.80; p < 0.001), and CA125 (HR 1.41; 95% CI 1.21-1.63; p < 0.001) remained independent predictors in multivariable analysis. The addition of ST2 and CA125 into a clinical predictive model increased the AUC from 0.74 to 0.78 (p = 0.03). For HF-related hospitalizations, ST2 was the only predictive biomarker in multivariable analyses, both at 30�

Hypothermic death: possibility of diagnosis by post-mortem computed tomography.

Science.gov (United States)

Kawasumi, Yusuke; Onozuka, Naoki; Kakizaki, Ayana; Usui, Akihito; Hosokai, Yoshiyuki; Sato, Miho; Saito, Haruo; Ishibashi, Tadashi; Hayashizaki, Yoshie; Funayama, Masato

2013-02-01

Referring to our experience with post-mortem computed tomography (CT), many hypothermic death cases presented a lack of increase in lung-field concentration, blood clotting in the heart, thoracic aorta or pulmonary artery, and urine retention in the bladder. Thus we evaluated the diagnostic performance of post-mortem CT on hypothermic death based on the above-mentioned three findings. Twenty-four hypothermic death subjects and 53 non-hypothermic death subjects were examined. Two radiologists assessed the presence or lack of an increase in lung-field concentration, blood clotting in the heart, thoracic aorta or pulmonary artery, and measured urine volume in the bladder. Pearson's chi-square test and Mann-Whitney U-test were used to assess the relationship between the three findings and hypothermic death. The sensitivity, specificity, accuracy, positive predictive value (PPV) and negative predictive value (NPV) of the diagnosis were also calculated. Lack of an increase in lung-field concentration and blood clotting in the heart, thoracic aorta or pulmonary artery were significantly associated with hypothermic death (p=0.0007, p<0.0001, respectively). The hypothermic death cases had significantly more urine in the bladder than the non-hypothermic death cases (p=0.0011). Regarding the diagnostic performance with all three findings, the sensitivity was 29.2% but the specificity was 100%. These three findings were more common in hypothermic death cases. Although the sensitivity was low, these findings will assist forensic physicians in diagnosing hypothermic death since the specificity was high. Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.

Protection of hypoglycemia-induced neuronal death by β-hydroxybutyrate involves the preservation of energy levels and decreased production of reactive oxygen species.

Science.gov (United States)

Julio-Amilpas, Alberto; Montiel, Teresa; Soto-Tinoco, Eva; Gerónimo-Olvera, Cristian; Massieu, Lourdes

2015-05-01

Glucose is the main energy substrate in brain but in certain circumstances such as prolonged fasting and the suckling period alternative substrates can be used such as the ketone bodies (KB), beta-hydroxybutyrate (BHB), and acetoacetate. It has been shown that KB prevent neuronal death induced during energy limiting conditions and excitotoxicity. The protective effect of KB has been mainly attributed to the improvement of mitochondrial function. In the present study, we have investigated the protective effect of D-BHB against neuronal death induced by severe noncoma hypoglycemia in the rat in vivo and by glucose deprivation (GD) in cortical cultures. Results show that systemic administration of D-BHB reduces reactive oxygen species (ROS) production in distinct cortical areas and subregions of the hippocampus and efficiently prevents neuronal death in the cortex of hypoglycemic animals. In vitro results show that D-BHB stimulates ATP production and reduces ROS levels, while the nonphysiologic isomer of BHB, L-BHB, has no effect on energy production but reduces ROS levels. Data suggest that protection by BHB, not only results from its metabolic action but is also related to its capability to reduce ROS, rendering this KB as a suitable candidate for the treatment of ischemic and traumatic injury.

Corosolic Acid Induces Non-Apoptotic Cell Death through Generation of Lipid Reactive Oxygen Species Production in Human Renal Carcinoma Caki Cells

Directory of Open Access Journals (Sweden)

Seon Min Woo

2018-04-01

Full Text Available Corosolic acid is one of the pentacyclic triterpenoids isolated from Lagerstroemia speciose and has been reported to exhibit anti-cancer and anti-proliferative activities in various cancer cells. In the present study, we investigated the molecular mechanisms of corosolic acid in cancer cell death. Corosolic acid induces a decrease of cell viability and an increase of cell cytotoxicity in human renal carcinoma Caki cells. Corosolic acid-induced cell death is not inhibited by apoptosis inhibitor (z-VAD-fmk, a pan-caspase inhibitor, necroptosis inhibitor (necrostatin-1, or ferroptosis inhibitors (ferrostatin-1 and deferoxamine (DFO. Furthermore, corosolic acid significantly induces reactive oxygen species (ROS levels, but antioxidants (N-acetyl-l-cysteine (NAC and trolox do not inhibit corosolic acid-induced cell death. Interestingly, corosolic acid induces lipid oxidation, and α-tocopherol markedly prevents corosolic acid-induced lipid peroxidation and cell death. Anti-chemotherapeutic effects of α-tocopherol are dependent on inhibition of lipid oxidation rather than inhibition of ROS production. In addition, corosolic acid induces non-apoptotic cell death in other renal cancer (ACHN and A498, breast cancer (MDA-MB231, and hepatocellular carcinoma (SK-Hep1 and Huh7 cells, and α-tocopherol markedly inhibits corosolic acid-induced cell death. Therefore, our results suggest that corosolic acid induces non-apoptotic cell death in cancer cells through the increase of lipid peroxidation.

Evaluation of a gas in vitro system for predicting methane production in vivo

DEFF Research Database (Denmark)

Danielsson, Rebecca; Ramin, Mohammad; Bertilsson, Jan

2017-01-01

of samples can be incubated and analyzed at the same time. This study evaluated a recently developed in vitro method for prediction of in vivo CH4 production by examining the relationship between predicted and observed CH4 production values. A total of 49 different diets (observations), used in previous 13......Methane production from ruminant livestock varies with the diet as a result of factors such as dry matter intake, diet composition, and digestibility. To estimate the effect of dietary composition and feed additives, CH4 production can be measured in vitro as a first step because large numbers...... in vivo studies, were selected to include diets varying in nutrient composition. Methane production was measured in all in vivo studies by respiration chambers or the GreenFeed system (C-Lock Inc., Rapid City, SD). Overall, the in vitro system predicted CH4 production well (R2 = 0.96), but the values...

Sudden death in eating disorders

Directory of Open Access Journals (Sweden)

Jáuregui-Garrido B

2012-02-01

Full Text Available Beatriz Jáuregui-Garrido1, Ignacio Jáuregui-Lobera2,31Department of Cardiology, University Hospital Virgen del Rocío, 2Behavioral Sciences Institute, 3Pablo de Olavide University, Seville, SpainAbstract: Eating disorders are usually associated with an increased risk of premature death with a wide range of rates and causes of mortality. “Sudden death” has been defined as the abrupt and unexpected occurrence of fatality for which no satisfactory explanation of the cause can be ascertained. In many cases of sudden death, autopsies do not clarify the main cause. Cardiovascular complications are usually involved in these deaths. The purpose of this review was to report an update of the existing literature data on the main findings with respect to sudden death in eating disorders by means of a search conducted in PubMed. The most relevant conclusion of this review seems to be that the main causes of sudden death in eating disorders are those related to cardiovascular complications. The predictive value of the increased QT interval dispersion as a marker of sudden acute ventricular arrhythmia and death has been demonstrated. Eating disorder patients with severe cardiovascular symptoms should be hospitalized. In general, with respect to sudden death in eating disorders, some findings (eg, long-term eating disorders, chronic hypokalemia, chronically low plasma albumin, and QT intervals >600 milliseconds must be taken into account, and it must be highlighted that during refeeding, the adverse effects of hypophosphatemia include cardiac failure. Monitoring vital signs and performing electrocardiograms and serial measurements of plasma potassium are relevant during the treatment of eating disorder patients.Keywords: sudden death, cardiovascular complications, refeeding syndrome, QT interval, hypokalemia

Probabilistic approach to the prediction of radioactive contamination of agricultural production

International Nuclear Information System (INIS)

Fesenko, S.F.; Chernyaeva, L.G.; Sanzharova, N.I.; Aleksakhin, R.M.

1993-01-01

The organization of agricultural production on the territory contaminated as a result of the Chernobyl reactor disaster involves prediction of the content of radionuclides in agro-industrial products. Traditional methods of prediting the contamination in the products does not give sufficient agreement with actual data and as a result it is difficult to make the necessary decisions about eliminating the consequences of the disaster in the agro-industrial complex. In many ways this is because the available methods are based on data on the radionuclide content in soils, plants, and plant and animal products. The parameters of the models used in the prediction are also evaluated on the basis of these results. Even if obtained from a single field or herd of livestock, however, such indicators have substantial variation coefficients due to various factors such as the spatial structure of the fallouts, the variability of the soil properties, the sampling error, the errors of processing and measuring the samples, and well as the data-averaging error. Consequently the parameters of the radionuclide transfer along the agricultural chains are very variable, thus considerably reducing the reliability of predicted values. The reliability of the prediction of radioactive contamination of agricultural products can be increased substantially by taking a probabilistic approach involving information about the random laws of contamination of farming land and the statistical features of the parameters of radionuclie migration along food chains. Considering the above, comparative analysis is made of the results obtained on the basis of the traditional treatment (deterministic in the simplest form) and its probabilistic analog

Cause of death and potentially avoidable deaths in Australian adults with intellectual disability using retrospective linked data.

Science.gov (United States)

Trollor, Julian; Srasuebkul, Preeyaporn; Xu, Han; Howlett, Sophie

2017-02-07

To investigate mortality and its causes in adults over the age of 20 years with intellectual disability (ID). Retrospective population-based standardised mortality of the ID and Comparison cohorts. The ID cohort comprised 42 204 individuals who registered for disability services with ID as a primary or secondary diagnosis from 2005 to 2011 in New South Wales (NSW). The Comparison cohort was obtained from published deaths in NSW from the Australian Bureau of Statistics (ABS) from 2005 to 2011. We measured and compared Age Standardised Mortality Rate (ASMR), Comparative Mortality Figure (CMF), years of productive life lost (YPLL) and proportion of deaths with potentially avoidable causes in an ID cohort with an NSW general population cohort. There were 19 362 adults in the ID cohort which experienced 732 (4%) deaths at a median age of 54 years. Age Standardised Mortality Rates increased with age for both cohorts. Overall comparative mortality figure was 1.3, but was substantially higher for the 20-44 (4.0) and 45-64 (2.3) age groups. YPLL was 137/1000 people in the ID cohort and 49 in the comparison cohort. Cause of death in ID cohort was dominated by respiratory, circulatory, neoplasm and nervous system. After recoding deaths previously attributed to the aetiology of the disability, 38% of deaths in the ID cohort and 17% in the comparison cohort were potentially avoidable. Adults with ID experience premature mortality and over-representation of potentially avoidable deaths. A national system of reporting of deaths in adults with ID is required. Inclusion in health policy and services development and in health promotion programmes is urgently required to address premature deaths and health inequalities for adults with ID. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/.

Recent Improvements in IERS Rapid Service/Prediction Center Products

National Research Council Canada - National Science Library

Stamatakos, N; Luzum, B; Wooden, W

2007-01-01

...) at USNO has made several improvements to its combination and pre- diction products. These improvements are due to the inclusion of new input data sources as well as modifications to the combination and prediction algorithms...

After Aylan Kurdi: How Tweeting About Death, Threat, and Harm Predict Increased Expressions of Solidarity With Refugees Over Time.

Science.gov (United States)

Smith, Laura G E; McGarty, Craig; Thomas, Emma F

2018-04-01

Viral social media content has been heralded for its power to transform policy, but online responses are often derided as "slacktivism." This raises the questions of what drives viral communications and what is their effect on support for social change. We addressed these issues in relation to Twitter discussions about Aylan Kurdi, a child refugee who died en route to the European Union. We developed a longitudinal paradigm to analyze 41,253 tweets posted 1 week before the images of Aylan Kurdi emerged, the week they emerged, and 10 weeks afterward-at the time of the Paris terror attacks. Tweeting about death before the images emerged predicted tweeting about Aylan Kurdi, and this, sustained by discussion of harm and threat, predicted the expression of solidarity with refugees 10 weeks later. Results suggest that processes of normative conflict and communication can be intertwined in promoting support for social change.

Molecular markers for predicting end-products quality of wheat ...

African Journals Online (AJOL)

Molecular markers for predicting end-products quality of wheat (Triticum aestivum L.) ... African Journal of Biotechnology. Journal Home · ABOUT ... Four new Saudi wheat lines (KSU 102, KSU 103, KSU 105 and KSU 106) and two. American ...

Xanthelasmata, arcus corneae, and ischaemic vascular disease and death in general population: prospective cohort study

DEFF Research Database (Denmark)

Christoffersen, Mette; Frikke-Schmidt, Ruth; Schnohr, Peter

2011-01-01

To test the hypothesis that xanthelasmata and arcus corneae, individually and combined, predict risk of ischaemic vascular disease and death in the general population.......To test the hypothesis that xanthelasmata and arcus corneae, individually and combined, predict risk of ischaemic vascular disease and death in the general population....

Does life satisfaction predict five-year mortality in community-living older adults?

Science.gov (United States)

St John, Philip D; Mackenzie, Corey; Menec, Verena

2015-01-01

Depression and depressive symptoms predict death, but it is less clear if more general measures of life satisfaction (LS) predict death. Our objectives were to determine: (1) if LS predicts mortality over a five-year period in community-living older adults; and (2) which aspects of LS predict death. 1751 adults over the age of 65 who were living in the community were sampled from a representative population sampling frame in 1991/1992 and followed five years later. Age, gender, and education were self-reported. An index of multimorbidity and the Older American Resource Survey measured health and functional status, and the Terrible-Delightful Scale assessed overall LS as well as satisfaction with: health, finances, family, friends, housing, recreation, self-esteem, religion, and transportation. Cox proportional hazards models examined the influence of LS on time to death. 417 participants died during the five-year study period. Overall LS and all aspects of LS except finances, religion, and self-esteem predicted death in unadjusted analyses. In fully adjusted analyses, LS with health, housing, and recreation predicted death. Other aspects of LS did not predict death after accounting for functional status and multimorbidity. LS predicted death, but certain aspects of LS are more strongly associated with death. The effect of LS is complex and may be mediated or confounded by health and functional status. It is important to consider different domains of LS when considering the impact of this important emotional indicator on mortality among older adults.

A Network-Based Approach to Modeling and Predicting Product Coconsideration Relations

Directory of Open Access Journals (Sweden)

Zhenghui Sha

2018-01-01

Full Text Available Understanding customer preferences in consideration decisions is critical to choice modeling in engineering design. While existing literature has shown that the exogenous effects (e.g., product and customer attributes are deciding factors in customers’ consideration decisions, it is not clear how the endogenous effects (e.g., the intercompetition among products would influence such decisions. This paper presents a network-based approach based on Exponential Random Graph Models to study customers’ consideration behaviors according to engineering design. Our proposed approach is capable of modeling the endogenous effects among products through various network structures (e.g., stars and triangles besides the exogenous effects and predicting whether two products would be conisdered together. To assess the proposed model, we compare it against the dyadic network model that only considers exogenous effects. Using buyer survey data from the China automarket in 2013 and 2014, we evaluate the goodness of fit and the predictive power of the two models. The results show that our model has a better fit and predictive accuracy than the dyadic network model. This underscores the importance of the endogenous effects on customers’ consideration decisions. The insights gained from this research help explain how endogenous effects interact with exogeous effects in affecting customers’ decision-making.

Lethal outcome and time to death in injured hospitalised patients ...

African Journals Online (AJOL)

Objectives: There is a recent realization tha tdeath following injury is time dependent and occurs in a predictable way. The object of this study therefore is to identify trauma death pattern in our environment with emphasis on time of death with the view to proffer efficient trauma care strategies. Methods: The medical records of ...

Combinatorial DNA Damage Pairing Model Based on X-Ray-Induced Foci Predicts the Dose and LET Dependence of Cell Death in Human Breast Cells

Energy Technology Data Exchange (ETDEWEB)

Vadhavkar, Nikhil [Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States); Pham, Christopher [University of Texas, Houston, TX (United States). MD Anderson Cancer Center; Georgescu, Walter [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Life Sciences Div.; Deschamps, Thomas [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Life Sciences Div.; Heuskin, Anne-Catherine [Univ. of Namur (Belgium). Namur Research inst. for Life Sciences (NARILIS), Research Center for the Physics of Matter and Radiation (PMR); Tang, Jonathan [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Life Sciences Div.; Costes, Sylvain V. [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Life Sciences Div.

2014-09-01

In contrast to the classic view of static DNA double-strand breaks (DSBs) being repaired at the site of damage, we hypothesize that DSBs move and merge with each other over large distances (m). As X-ray dose increases, the probability of having DSB clusters increases as does the probability of misrepair and cell death. Experimental work characterizing the X-ray dose dependence of radiation-induced foci (RIF) in nonmalignant human mammary epithelial cells (MCF10A) is used here to validate a DSB clustering model. We then use the principles of the local effect model (LEM) to predict the yield of DSBs at the submicron level. Two mechanisms for DSB clustering, namely random coalescence of DSBs versus active movement of DSBs into repair domains are compared and tested. Simulations that best predicted both RIF dose dependence and cell survival after X-ray irradiation favored the repair domain hypothesis, suggesting the nucleus is divided into an array of regularly spaced repair domains of ~;;1.55 m sides. Applying the same approach to high-linear energy transfer (LET) ion tracks, we are able to predict experimental RIF/m along tracks with an overall relative error of 12percent, for LET ranging between 30 350 keV/m and for three different ions. Finally, cell death was predicted by assuming an exponential dependence on the total number of DSBs and of all possible combinations of paired DSBs within each simulated RIF. Relative biological effectiveness (RBE) predictions for cell survival of MCF10A exposed to high-LET showed an LET dependence that matches previous experimental results for similar cell types. Overall, this work suggests that microdosimetric properties of ion tracks at the submicron level are sufficient to explain both RIF data and survival curves for any LET, similarly to the LEM assumption. Conversely, high-LET death mechanism does not have to infer linear-quadratic dose formalism as done in the LEM. In addition, the size of repair domains derived in our model

NNLOPS accurate predictions for $W^+W^-$ production arXiv

CERN Document Server

Re, Emanuele; Zanderighi, Giulia

We present novel predictions for the production of $W^+W^-$ pairs in hadron collisions that are next-to-next-to-leading order accurate and consistently matched to a parton shower (NNLOPS). All diagrams that lead to the process $pp\\to e^- \\bar \

Sudden Oak Death-Induced Tanoak Mortality in Coast Redwood Forests: Current and Predicted Impacts to Stand Structure

Directory of Open Access Journals (Sweden)

Kevin L. O’Hara

2010-08-01

Full Text Available Tanoak (Notholithocarpus densiflorus syn. Lithocarpus densiflorus is one of the most widespread and abundant associates of coast redwood (Sequoia sempervirens, but little is known about the structural relationships between these two species. Knowledge of such relationships is essential for a thorough understanding of the impacts of sudden oak death (caused by the exotic pathogen Phytophthora ramorum, which is currently decimating tanoak populations throughout the redwood range. In this study, we utilized a stratified plot design and a stand reconstruction technique to assess structural impacts, at present and in the future, of this emerging disease. We found that residual trees in diseased plots were more aggregated than trees in unaffected plots, and we predicted that the loss of tanoak will lead to the following short-term changes: greater average diameter, height, height-to-live-crown, and crown length, as well as an increase in average nearest neighbor differences for diameter, height, and crown length. In addition, plots lacking tanoak (living or dead—as compared to plots with tanoak—exhibited greater average diameter and increased nearest neighbor differences with regard to diameter, height, and crown length. We also conducted a preliminary exploration of how sudden oak death-induced structural changes compare with typical old-growth characteristics, and how this disease may affect the structure of old-growth forests.

Delay and death-thought accessibility: a meta-analysis.

Science.gov (United States)

Steinman, Christopher T; Updegraff, John A

2015-12-01

The dual-process component of Terror Management Theory (TMT) proposes that different types of threats lead to increases in death-thought accessibility (DTA) after different delay intervals. Experimental studies of terror management threats' effect on DTA were collected and coded for their use of explicitly death-related (vs. not explicitly death-related) threats, and for their use of delay and task-switching during the delay. Results reveal that studies using death-related threats achieved larger DTA effect-sizes when they included more task-switching or a longer delay between the threat and the DTA measurement. In contrast, studies using threats that were not explicitly death-related achieved smaller DTA effect-sizes when they included more task-switching between the threat and the DTA measurement. These findings provide partial support for the dual-process component's predictions regarding delay and DTA. Limitations and future directions are discussed. © 2015 by the Society for Personality and Social Psychology, Inc.

Determination of death: Metaphysical and biomedical discourse.

Science.gov (United States)

Jakušovaitė, Irayda; Luneckaitė, Žydrunė; Peičius, Eimantas; Bagdonaitė, Živilė; Riklikienė, Olga; Stankevičius, Edgaras

2016-01-01

The prominence of biomedical criteria relying on brain death reduces the impact of metaphysical, anthropological, psychosocial, cultural, religious, and legal aspects disclosing the real value and essence of human life. The aim of this literature review is to discuss metaphysical and biomedical approaches toward death and their complimentary relationship in the determination of death. A critical appraisal of theoretical and scientific evidence and legal documents supported analytical discourse. In the metaphysical discourse of death, two main questions about what human death is and how to determine the fact of death clearly separate the ontological and epistemological aspects of death. During the 20th century, various understandings of human death distinguished two different approaches toward the human: the human is a subject of activities or a subject of the human being. Extinction of the difference between the entities and the being, emphasized as rational-logical instrumentation, is not sufficient to understand death thoroughly. Biological criteria of death are associated with biological features and irreversible loss of certain cognitive capabilities. Debating on the question "Does a brain death mean death of a human being?" two approaches are considering: the body-centrist and the mind-centrist. By bridging those two alternatives human death appears not only as biomedical, but also as metaphysical phenomenon. It was summarized that a predominance of clinical criteria for determination of death in practice leads to medicalization of death and limits the holistic perspective toward individual's death. Therefore, the balance of metaphysical and biomedical approaches toward death and its determination would decrease the medicalization of the concept of death. Copyright © 2016 The Lithuanian University of Health Sciences. Production and hosting by Elsevier Urban & Partner Sp. z o.o. All rights reserved.

Predicting coronary heart disease

DEFF Research Database (Denmark)

Sillesen, Henrik; Fuster, Valentin

2012-01-01

Atherosclerosis is the leading cause of death and disabling disease. Whereas risk factors are well known and constitute therapeutic targets, they are not useful for prediction of risk of future myocardial infarction, stroke, or death. Therefore, methods to identify atherosclerosis itself have bee...

Concrete Cracking Prediction Including the Filling Proportion of Strand Corrosion Products

Science.gov (United States)

Wang, Lei; Dai, Lizhao; Zhang, Xuhui; Zhang, Jianren

2016-01-01

The filling of strand corrosion products during concrete crack propagation is investigated experimentally in the present paper. The effects of stirrups on the filling of corrosion products and concrete cracking are clarified. A prediction model of crack width is developed incorporating the filling proportion of corrosion products and the twisting shape of the strand. Experimental data on cracking angle, crack width, and corrosion loss obtained from accelerated corrosion tests of concrete beams are presented. The proposed model is verified by experimental data. Results show that the filling extent of corrosion products varies with crack propagation. The rust filling extent increases with the propagating crack until a critical width. Beyond the critical width, the rust-filling extent remains stable. Using stirrups can decrease the critical crack width. Stirrups can restrict crack propagation and reduce the rust filling. The tangent of the cracking angle increases with increasing corrosion loss. The prediction of corrosion-induced crack is sensitive to the rust-filling extent. PMID:28772367

Drug-Induced Liver Injury: Cascade of Events Leading to Cell Death, Apoptosis or Necrosis

Directory of Open Access Journals (Sweden)

Andrea Iorga

2017-05-01

Full Text Available Drug-induced liver injury (DILI can broadly be divided into predictable and dose dependent such as acetaminophen (APAP and unpredictable or idiosyncratic DILI (IDILI. Liver injury from drug hepatotoxicity (whether idiosyncratic or predictable results in hepatocyte cell death and inflammation. The cascade of events leading to DILI and the cell death subroutine (apoptosis or necrosis of the cell depend largely on the culprit drug. Direct toxins to hepatocytes likely induce oxidative organelle stress (such as endoplasmic reticulum (ER and mitochondrial stress leading to necrosis or apoptosis, while cell death in idiosyncratic DILI (IDILI is usually the result of engagement of the innate and adaptive immune system (likely apoptotic, involving death receptors (DR. Here, we review the hepatocyte cell death pathways both in direct hepatotoxicity such as in APAP DILI as well as in IDILI. We examine the known signaling pathways in APAP toxicity, a model of necrotic liver cell death. We also explore what is known about the genetic basis of IDILI and the molecular pathways leading to immune activation and how these events can trigger hepatotoxicity and cell death.

Trends in Deaths Involving Heroin and Synthetic Opioids Excluding Methadone, and Law Enforcement Drug Product Reports, by Census Region - United States, 2006-2015.

Science.gov (United States)

O'Donnell, Julie K; Gladden, R Matthew; Seth, Puja

2017-09-01

Opioid overdose deaths quadrupled from 8,050 in 1999 to 33,091 in 2015 and accounted for 63% of drug overdose deaths in the United States in 2015. During 2010-2015, heroin overdose deaths quadrupled from 3,036 to 12,989 (1). Sharp increases in the supply of heroin and illicitly manufactured fentanyl (IMF) are likely contributing to increased deaths (2-6). CDC examined trends in unintentional and undetermined deaths involving heroin or synthetic opioids excluding methadone (i.e., synthetic opioids)* by the four U.S. Census regions during 2006-2015. Drug exhibits (i.e., drug products) obtained by law enforcement and reported to the Drug Enforcement Administration's (DEA's) National Forensic Laboratory Information System (NFLIS) that tested positive for heroin or fentanyl (i.e., drug reports) also were examined. All U.S. Census regions experienced substantial increases in deaths involving heroin from 2006 to 2015. Since 2010, the South and West experienced increases in heroin drug reports, whereas the Northeast and Midwest experienced steady increases during 2006-2015. † In the Northeast, Midwest, and South, deaths involving synthetic opioids and fentanyl drug reports increased considerably after 2013. These broad changes in the U.S. illicit drug market highlight the urgent need to track illicit drugs and enhance public health interventions targeting persons using or at high risk for using heroin or IMF.

Tuberculosis deaths averted by implementation of the DOTS strategy in Kazakhstan.

Science.gov (United States)

Favorov, M; Belilovsky, E; Aitmagambetova, I; Ismailov, S; White, M E; Chorba, T

2010-12-01

Kazakhstan began implementing the DOTS strategy for tuberculosis (TB) in 1998. Data were analyzed 1) to determine if changes in TB mortality rate (MR) and case fatality rate (CFR) in Kazakhstan for 1998-2003 differed from those of Uzbekistan and four adjacent Russian Federation (RF) oblasts that had not yet implemented DOTS, and 2) to estimate the number of deaths averted in Kazakhstan as a result of DOTS. Observed MRs were calculated, and predicted MRs for Kazakhstan were approximated by linear regression based on average slope of MRs from 1998 through 2003 in adjacent non-DOTS-implementing territories. Deaths averted were calculated by comparing predicted MRs to actual MRs by converting rate differences to numbers of deaths. TB MRs in Kazakhstan decreased markedly, but remained stable or increased in the neighboring territories. CFRs decreased markedly in Kazakhstan and marginally in Uzbekistan, and increased in the neighboring RF oblasts. From 1998 to 2004, DOTS appears to have helped avert approximately 17,800 deaths in Kazakhstan. DOTS has contributed markedly to a decrease in TB mortality in Kazakhstan. In settings where mortality data are relatively complete, deaths averted can be another indicator of DOTS effectiveness.

Births and deaths including fetal deaths

Data.gov (United States)

U.S. Department of Health & Human Services — Access to a variety of United States birth and death files including fetal deaths: Birth Files, 1968-2009; 1995-2005; Fetal death file, 1982-2005; Mortality files,...

Staging Death, Translating Death, Rehearsing Death: A Photographer’s Apprenticeship in Dying

Directory of Open Access Journals (Sweden)

Daniela Fargione

2010-10-01

Full Text Available The preponderance of death imagery in the mass media and a recent interest of photography in the practice of death suggest the need to reevaluate our approach to death and dying, especially when violence is involved. This essay is a case study of History of Violence, Claudio Cravero's last photographic project. His collection of "portraits" reproduce apparent dead bodies, mostly attacked in their own domestic spheres, but neither the perpetrator of death (a mysterious murderer?, nor the weapon used (an omnipresent knife, should be considered as main focal points of the artist's inquiry. The undoubtful protagonist of these photographs, instead, is the light, that illuminates fear: not of death itself, rather of the obnoxious indifference to it, as the result of generalized death imagery saturation.     The staged apparent death displayed in Cravero's photographs serve both as a memento mori and as a strategy to come to terms with the idea of death. In short, it is an apprentship in dying through a domesticating translation practice. Eventually, Cravero's History of Violence offers a complex reflection on the interplay between each individual story and macrolevel social History, thus providing some hypotheses of where violence and death fit in that odd geometry of time and space that we call life.

Mitochondria Superoxide Anion Production Contributes to Geranylgeraniol-Induced Death in Leishmania amazonensis

Directory of Open Access Journals (Sweden)

Milene Valéria Lopes

2012-01-01

Full Text Available Here we demonstrate the activity of geranylgeraniol, the major bioactive constituent from seeds of Bixa orellana, against Leishmania amazonensis. Geranylgeraniol was identified through 1H and 13C nuclear magnetic resonance imaging and DEPT. The compound inhibited the promastigote and intracellular amastigote forms, with IC50 of 11±1.0 and 17.5±0.7 μg/mL, respectively. This compound was also more toxic to parasites than to macrophages and did not cause lysis in human blood cells. Morphological and ultrastructural changes induced by geranylgeraniol were observed in the protozoan by electronic microscopy and included mainly mitochondria alterations and an abnormal chromatin condensation in the nucleus. These alterations were confirmed by Rh 123 and TUNEL assays. Additionally, geranylgeraniol induces an increase in superoxide anion production. Collectively, our in vitro studies indicate geranylgeraniol as a selective antileishmanial that appears to be mediated by apoptosis-like cell death.

Productive procrastination: academic procrastination style predicts academic and alcohol outcomes

Science.gov (United States)

Westgate, Erin C.; Wormington, Stephanie V.; Oleson, Kathryn C.; Lindgren, Kristen P.

2017-01-01

Productive procrastination replaces one adaptive behavior with another adaptive—albeit less important—behavior (e.g., organizing notes instead of studying for an exam). We identified adaptive and maladaptive procrastination styles associated with academic and alcohol outcomes in 1106 college undergraduates. Cluster analysis identified five academic procrastination styles—non-procrastinators, academic productive procrastinators, non-academic productive procrastinators, non-academic procrastinators, and classic procrastinators. Procrastination style differentially predicted alcohol-related problems, cravings, risk of alcohol use disorders, and GPA (all ps procrastination and academic productive procrastination were most adaptive overall; non-academic productive procrastination, non-academic procrastination, and classic procrastination were least adaptive. Productive procrastination differed from other procrastination strategies, and maladaptive procrastination styles may be a useful risk indicator for preventative and intervention efforts. PMID:28804158

Productive procrastination: academic procrastination style predicts academic and alcohol outcomes.

Science.gov (United States)

Westgate, Erin C; Wormington, Stephanie V; Oleson, Kathryn C; Lindgren, Kristen P

2017-03-01

Productive procrastination replaces one adaptive behavior with another adaptive-albeit less important-behavior (e.g., organizing notes instead of studying for an exam). We identified adaptive and maladaptive procrastination styles associated with academic and alcohol outcomes in 1106 college undergraduates. Cluster analysis identified five academic procrastination styles- non-procrastinators , academic productive procrastinators , non-academic productive procrastinators, non-academic procrastinators , and classic procrastinators . Procrastination style differentially predicted alcohol-related problems, cravings, risk of alcohol use disorders, and GPA (all ps procrastination and academic productive procrastination were most adaptive overall; non-academic productive procrastination, non-academic procrastination, and classic procrastination were least adaptive. Productive procrastination differed from other procrastination strategies, and maladaptive procrastination styles may be a useful risk indicator for preventative and intervention efforts.

Illness, death, and macronutrients: adequacy of rural Mozambican household production of macronutrients in the face of HIV/AIDS.

Science.gov (United States)

Donovan, Cynthia; Massingue, Jaquelino

2007-06-01

As the public sector and civil society develop intervention programs to deal with the HIV/ AIDS epidemic, there has been an increasing emphasis on the relationship between nutrition and the disease. Drug interventions may be ineffective, and the progression from HIV infection to full-blown AIDS may be accelerated without adequate nutrition. Mozambique is still fighting an increasing prevalence rate of HIV including in rural areas. Rural households in Mozambique rely heavily on their own agricultural production for the basic macronutrients. To evaluate the extent to which household agricultural production of basic staples meets overall household needs for major macronutrients, comparing households affected and not directly affected by HIV/ AIDS and other major illnesses over two time periods. Methods. This research analyzes nationally representative panel data from rural household surveys conducted in 2002 and 2005 to evaluate whether households that have suffered the chronic illness or illness-related death of prime-age adult members (15 to 49 years of age) are more vulnerable to macronutrient gaps. Households in the South and in the North with a male illness or death in 2002 produced significantly less macronutrients from crops in 2005 than nonaffected households. These households also had significantly lower income per adult equivalent. Mortality or illness from HIV/AIDS affects the ability of agricultural households dependent on own-food production to produce macronutrients. Interventions to improve access to food may be needed for affected households, particularly in light of their inability to recover over time. More analysis is needed to understand income sources, crop diversification, and access to macronutrients through the market.

An approach for prediction of petroleum production facility performance considering Arctic influence factors

International Nuclear Information System (INIS)

Gao Xueli; Barabady, Javad; Markeset, Tore

2010-01-01

As the oil and gas (O and G) industry is increasing the focus on petroleum exploration and development in the Arctic region, it is becoming increasingly important to design exploration and production facilities to suit the local operating conditions. The cold and harsh climate, the long distance from customer and suppliers' markets, and the sensitive environment may have considerable influence on the choice of design solutions and production performance characteristics such as throughput capacity, reliability, availability, maintainability, and supportability (RAMS) as well as operational and maintenance activities. Due to this, data and information collected for similar systems used in a normal climate may not be suitable. Hence, it is important to study and develop methods for prediction of the production performance characteristics during the design and operation phases. The aim of this paper is to present an approach for prediction of the production performance for oil and gas production facilities considering influencing factors in Arctic conditions. The proportional repair model (PRM) is developed in order to predict repair rate in Arctic conditions. The model is based on the proportional hazard model (PHM). A simple case study is used to demonstrate how the proposed approach can be applied.

Value of Combining Left Atrial Diameter and Amino-terminal Pro-brain Natriuretic Peptide to the CHA2DS2-VASc Score for Predicting Stroke and Death in Patients with Sick Sinus Syndrome after Pacemaker Implantation.

Science.gov (United States)

Mo, Bin-Feng; Lu, Qiu-Fen; Lu, Shang-Biao; Xie, Yu-Quan; Feng, Xiang-Fei; Li, Yi-Gang

2017-08-20

The CHA2DS2-VASc score is used clinically for stroke risk stratification in patients with atrial fibrillation (AF). We sought to investigate whether the CHA2DS2-VASc score predicts stroke and death in Chinese patients with sick sinus syndrome (SSS) after pacemaker implantation and to evaluate whether the predictive power of the CHA2DS2-VASc score could be improved by combining it with left atrial diameter (LAD) and amino-terminal pro-brain natriuretic peptide (NT-proBNP). A total of 481 consecutive patients with SSS who underwent pacemaker implantation from January 2004 to December 2014 in our department were included. The CHA2DS2-VASc scores were retrospectively calculated according to the hospital medical records before pacemaker implantation. The outcome data (stroke and death) were collected by pacemaker follow-up visits and telephonic follow-up until December 31, 2015. During 2151 person-years of follow-up, 46 patients (9.6%) suffered stroke and 52 (10.8%) died. The CHA2DS2-VASc score showed a significant association with the development of stroke (hazard ratio [HR] 1.45, 95% confidence interval [CI] 1.20-1.75, Ppacemaker implantation. The addition of LAD and NT-proBNP to the CHA2DS2-VASc score improved its predictive power for stroke and death, respectively, in this patient cohort. Future prospective studies are warranted to validate the benefit of adding LAD and NT-proBNP to the CHA2DS2-VASc score for predicting stroke and death risk in non-AF populations.

Prediction and optimisation of Pb/Zn/Fe sulphide scales in gas production fields

Energy Technology Data Exchange (ETDEWEB)

Dyer, Sarah; Orski, Karine; Menezes, Carlos; Heath, Steve; MacPherson, Calum; Simpson, Caroline; Graham, Gordon

2006-03-15

Lead, zinc and iron sulphide scales are known to be a particular issue with gas production fields, particularly those producing from HP/HT reservoirs. However the prediction of sulphide scale and the methodologies available for their laboratory assessment are not as well developed as those for the more conventional sulphate and carbonate scales. This work examines a particular sulphide scaling regime from a North Sea high temperature gas condensate production field containing only 0.8ppm of sulphide ions. Sulphide scales were identified in the production system which was shown to be a mixture of lead and zinc sulphide, primarily lead sulphide. This formed as a result of cooling during production resulting in the over saturation of these minerals. This paper describes scale prediction and modified laboratory test protocols used to re-create the scales formed in the field prior to chemical performance testing. From the brine composition, scale prediction identified that the major scales that could be formed were calcium carbonate, iron carbonate, iron sulphide, lead sulphide and zinc sulphide. In addition, modification of the brine compositions led to prediction of primarily one scale or the other. Given the predicted over saturation of various minerals, preliminary laboratory tests were therefore conducted in order to ensure that the scale formed under laboratory conditions was representative of the field scale. Laboratory protocols were therefore developed to ensure that the scales formed in fully anaerobic dynamic performance tests and static performance tests were similar to those encountered in the field. The paper compares results from field analysis, scale predictions and laboratory scale formation tests using newly developed test protocols and shows differences between prediction and laboratory data. The paper therefore demonstrates the importance of ensuring that the correct scale is formed under laboratory test conditions and also indicates some potential

Predicted versus observed cosmic-ray-produced noble gases in lunar samples: improved Kr production ratios

International Nuclear Information System (INIS)

Regnier, S.; Hohenberg, C.M.; Marti, K.; Reedy, R.C.

1979-01-01

New sets of cross sections for the production of krypton isotopes from targets of Rb, Sr, Y, and Zr were constructed primarily on the bases of experimental excitation functions for Kr production from Y. These cross sections were used to calculate galactic-cosmic-ray and solar-proton production rates for Kr isotopes in the moon. Spallation Kr data obtained from ilmenite separates of rocks 10017 and 10047 are reported. Production rates and isotopic ratios for cosmogenic Kr observed in ten well-documented lunar samples and in ilmenite separates and bulk samples from several lunar rocks with long but unknown irradiation histories were compared with predicted rates and ratios. The agreements were generally quite good. Erosion of rock surfaces affected rates or ratios for only near-surface samples, where solar-proton production is important. There were considerable spreads in predicted-to-observed production rates of 83 Kr, due at least in part to uncertainties in chemical abundances. The 78 Kr/ 83 Kr ratios were predicted quite well for samples with a wide range of Zr/Sr abundance ratios. The calculated 80 Kr/ 83 Kr ratios were greater than the observed ratios when production by the 79 Br(n,γ) reaction was included, but were slightly undercalculated if the Br reaction was omitted; these results suggest that Br(n,γ)-produced Kr is not retained well by lunar rocks. The productions of 81 Kr and 82 Kr were overcalculated by approximately 10% relative to 83 Kr. Predicted-to-observed 84 Kr/ 83 ratios scattered considerably, possibly because of uncertainties in corrections for trapped and fission components and in cross sections for 84 Kr production. Most predicted 84 Kr and 86 Kr production rates were lower than observed. Shielding depths of several Apollo 11 rocks were determined from the measured 78 Kr/ 83 Kr ratios of ilmenite separates. 4 figures, 5 tables

The natural product peiminine represses colorectal carcinoma tumor growth by inducing autophagic cell death

International Nuclear Information System (INIS)

Lyu, Qing; Tou, Fangfang; Su, Hong; Wu, Xiaoyong; Chen, Xinyi; Zheng, Zhi

2015-01-01

Autophagy is evolutionarily conservative in eukaryotic cells that engulf cellular long-lived proteins and organelles, and it degrades the contents through fusion with lysosomes, via which the cell acquires recycled building blocks for the synthesis of new molecules. In this study, we revealed that peiminine induces cell death and enhances autophagic flux in colorectal carcinoma HCT-116 cells. We determined that peiminine enhances the autophagic flux by repressing the phosphorylation of mTOR through inhibiting upstream signals. Knocking down ATG5 greatly reduced the peiminine-induced cell death in wild-type HCT-116 cells, while treating Bax/Bak-deficient cells with peiminine resulted in significant cell death. In summary, our discoveries demonstrated that peiminine represses colorectal carcinoma cell proliferation and cell growth by inducing autophagic cell death. - Highlights: • Peiminine induces autophagy and upregulates autophagic flux. • Peiminine represses colorectal carcinoma tumor growth. • Peiminine induces autophagic cell death. • Peiminine represses mTOR phosphorylation by influencing PI3K/Akt and AMPK pathway

The natural product peiminine represses colorectal carcinoma tumor growth by inducing autophagic cell death

Energy Technology Data Exchange (ETDEWEB)

Lyu, Qing [School of Life Sciences, Tsinghua University, Beijing, 100084 (China); Key Lab in Healthy Science and Technology, Division of Life Science, Graduate School at Shenzhen, Tsinghua University, Shenzhen, 518055 (China); Tou, Fangfang [Jiangxi Provincial Key Lab of Oncology Translation Medicine, Jiangxi Cancer Hospital, Nanchang, 330029 (China); Su, Hong; Wu, Xiaoyong [First Affiliated Hospital, Guiyang College of Traditional Chinese Medicine, Guiyang, 550002 (China); Chen, Xinyi [Department of Hematology and Oncology, Beijing University of Chinese Medicine, Beijing, 100029 (China); Zheng, Zhi, E-mail: zheng_sheva@hotmail.com [Jiangxi Provincial Key Lab of Oncology Translation Medicine, Jiangxi Cancer Hospital, Nanchang, 330029 (China)

2015-06-19

Autophagy is evolutionarily conservative in eukaryotic cells that engulf cellular long-lived proteins and organelles, and it degrades the contents through fusion with lysosomes, via which the cell acquires recycled building blocks for the synthesis of new molecules. In this study, we revealed that peiminine induces cell death and enhances autophagic flux in colorectal carcinoma HCT-116 cells. We determined that peiminine enhances the autophagic flux by repressing the phosphorylation of mTOR through inhibiting upstream signals. Knocking down ATG5 greatly reduced the peiminine-induced cell death in wild-type HCT-116 cells, while treating Bax/Bak-deficient cells with peiminine resulted in significant cell death. In summary, our discoveries demonstrated that peiminine represses colorectal carcinoma cell proliferation and cell growth by inducing autophagic cell death. - Highlights: • Peiminine induces autophagy and upregulates autophagic flux. • Peiminine represses colorectal carcinoma tumor growth. • Peiminine induces autophagic cell death. • Peiminine represses mTOR phosphorylation by influencing PI3K/Akt and AMPK pathway.

Predictive Factors associated with Death of Elderly in Nursing Homes

OpenAIRE

Kiwol Sung, PhD, RN

2014-01-01

Purpose: An increasing elderly population reflects a great need for readily accessible, clinically useful methods to identify mortality-related factors in nursing home residents. The purpose of this study was to identify factors associated with the deaths of nursing home residents. Methods: Data was collected from a Minimal Data Set of 195 elderly nursing home residents, followed by analysis of demographic factors, disease and nursing condition factors, Activities of Daily Living (ADL), co...

A three-protein biomarker panel assessed in diagnostic tissue predicts death from prostate cancer for men with localized disease

International Nuclear Information System (INIS)

Severi, Gianluca; FitzGerald, Liesel M; Muller, David C; Pedersen, John; Longano, Anthony; Southey, Melissa C; Hopper, John L; English, Dallas R; Giles, Graham G; Mills, John

2014-01-01

Only a minority of prostate cancers lead to death. Because no tissue biomarkers of aggressiveness other than Gleason score are available at diagnosis, many nonlethal cancers are treated aggressively. We evaluated whether a panel of biomarkers, associated with a range of disease outcomes in previous studies, could predict death from prostate cancer for men with localized disease. Using a case-only design, subjects were identified from three Australian epidemiological studies. Men who had died of their disease, “cases” (N = 83), were matched to “referents” (N = 232), those who had not died of prostate cancer, using incidence density sampling. Diagnostic tissue was retrieved to assess expression of AZGP1, MUC1, NKX3.1, p53, and PTEN by semiquantitative immunohistochemistry (IHC). Poisson regression was used to estimate mortality rate ratios (MRRs) adjusted for age, Gleason score, and stage and to estimate survival probabilities. Expression of MUC1 and p53 was associated with increased mortality (MRR 2.51, 95% CI 1.14–5.54, P = 0.02 and 3.08, 95% CI 1.41–6.95, P = 0.005, respectively), whereas AZGP1 expression was associated with decreased mortality (MRR 0.44, 95% CI 0.20–0.96, P = 0.04). Analyzing all markers under a combined model indicated that the three markers were independent predictors of prostate cancer death and survival. For men with localized disease at diagnosis, assessment of AZGP1, MUC1, and p53 expression in diagnostic tissue by IHC could potentially improve estimates of risk of dying from prostate cancer based only on Gleason score and clinical stage

Neonatal Death

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... Home > Complications & Loss > Loss & grief > Neonatal death Neonatal death E-mail to a friend Please fill in ... cope with your baby’s death. What is neonatal death? Neonatal death is when a baby dies in ...

Model for the evaluation and prediction of production rate of sinter ...

African Journals Online (AJOL)

A model has been derived for evaluation and prediction of production rate of sinter machine operating on vertical mode. The quadratic model expressed as: P = 0.4395 V – 0.0526 V2 + 0.54, showed that the production rate of the sinter machine was dependent on the vertical sintering height. The maximum deviation of the ...

Prediction of enthalpy and thermal conductivity of frozen meat and fish products from composition data

NARCIS (Netherlands)

Sman, van der R.G.M.

2008-01-01

In this paper we present models predicting thermophysical properties of frozen meat products purely using their composition data. Based on our previous model, predicting the water activity of (frozen) meat and fish products, while taking into account the non-ideality of the unfrozen solution, we can

Role of climate variability in the heatstroke death rates of Kanto region in Japan

Science.gov (United States)

Akihiko, Takaya; Morioka, Yushi; Behera, Swadhin K.

2014-07-01

The death toll by heatstroke in Japan, especially in Kanto region, has sharply increased since 1994 together with large interannual variability. The surface air temperature and humidity observed during boreal summers of 1980-2010 were examined to understand the role of climate in the death toll. The extremely hot days, when the daily maximum temperature exceeds 35°C, are more strongly associated with the death toll than the conventional Wet Bulb Globe Temperature index. The extremely hot days tend to be associated with El Niño/Southern Oscillation or the Indian Ocean Dipole, suggesting a potential link with tropical climate variability to the heatstroke related deaths. Also, the influence of these climate modes on the death toll has strengthened since 1994 probably related to global warming. It is possible to develop early warning systems based on seasonal climate predictions since recent climate models show excellent predictability skills for those climate modes.

Death Cafe.

Science.gov (United States)

Miles, Lizzy; Corr, Charles A

2017-06-01

This article explains the meaning of the phrase Death Cafe and describes what typically occurs at a Death Cafe gathering. The article traces the history of the Death Cafe movement, explores some reasons why people take part in a Death Cafe gathering, and gives examples of what individuals think they might derive from their participation. In addition, this article notes similarities between the Death Cafe movement and three other developments in the field of death, dying, and bereavement. Finally, this article identifies two provisional lessons that can be drawn from Death Cafe gatherings and the Death Cafe movement itself.

Confounding factors in diagnosing brain death: a case report

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Login Ivan S

2002-06-01

Full Text Available Abstract Background Brain death is strictly defined medically and legally. This diagnosis depends on three cardinal neurological features: coma, absent brainstem reflexes, and apnea. The diagnosis can only be made, however, in the absence of intoxication, hypothermia, or certain medical illnesses. Case presentation A patient with severe hypoxic-ischemic brain injury met the three cardinal neurological features of brain death but concurrent profound hypothyroidism precluded the diagnosis. Our clinical and ethical decisions were further challenged by another facet of this complex case. Although her brain damage indicated a hopeless prognosis, we could not discontinue care based on futility because the only known surrogate was mentally retarded and unable to participate in medical planning. Conclusion The presence of certain medical conditions prohibits a diagnosis of brain death, which is a medicolegal diagnosis of death, not a prediction or forecast of future outcome. While prognostication is important in deciding to withdraw care, it is not a component in diagnosing brain death.

Prediction of novel synthetic pathways for the production of desired chemicals

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Park Jin

2010-03-01

Full Text Available Abstract Background There have been several methods developed for the prediction of synthetic metabolic pathways leading to the production of desired chemicals. In these approaches, novel pathways were predicted based on chemical structure changes, enzymatic information, and/or reaction mechanisms, but the approaches generating a huge number of predicted results are difficult to be applied to real experiments. Also, some of these methods focus on specific pathways, and thus are limited to expansion to the whole metabolism. Results In the present study, we propose a system framework employing a retrosynthesis model with a prioritization scoring algorithm. This new strategy allows deducing the novel promising pathways for the synthesis of a desired chemical together with information on enzymes involved based on structural changes and reaction mechanisms present in the system database. The prioritization scoring algorithm employing Tanimoto coefficient and group contribution method allows examination of structurally qualified pathways to recognize which pathway is more appropriate. In addition, new concepts of binding site covalence, estimation of pathway distance and organism specificity were taken into account to identify the best synthetic pathway. Parameters of these factors can be evolutionarily optimized when a newly proven synthetic pathway is registered. As the proofs of concept, the novel synthetic pathways for the production of isobutanol, 3-hydroxypropionate, and butyryl-CoA were predicted. The prediction shows a high reliability, in which experimentally verified synthetic pathways were listed within the top 0.089% of the identified pathway candidates. Conclusions It is expected that the system framework developed in this study would be useful for the in silico design of novel metabolic pathways to be employed for the efficient production of chemicals, fuels and materials.

Time trade-off and attitudes toward euthanasia: implications of using 'death' as an anchor in health state valuation.

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Augestad, Liv A; Rand-Hendriksen, Kim; Stavem, Knut; Kristiansen, Ivar Sønbø

2013-05-01

Health state values are by convention anchored to 'perfect health' and 'death.' Attitudes toward death may consequently influence the valuations. We used attitudes toward euthanasia (ATE) as a sub-construct for attitudes toward death. We compared the influence on values elicited with time trade-off (TTO), lead-time TTO (LT-TTO) and visual analogue scale (VAS).Since the 'death' anchor is most explicit in TTO, we hypothesized that TTO values would be most influenced by ATE. Respondents valued eight EQ-5D health states with VAS, then TTO (n = 328) or LT-TTO (n = 484). We measured ATE on a scale from -2 (fully disagree) to 2 (fully agree) and used multiple linear regressions to predict VAS, TTO, and LT-TTO values by ATE, sex, age, and education. A one-point increase on the ATE scale predicted a mean TTO value change of -.113 and LT-TTO change of -.072. Demographic variables, but not ATE, predicted VAS values. TTO appears to measure ATE in addition to preferences for health states. Different ways of incorporating death in the valuation may impact substantially on the resulting values. 'Death' is a metaphysically unknown concept, and implications of attitudes toward death should be investigated further to evaluate the appropriateness of using 'death' as an anchor.

Competing causes of death: a death certificate study

NARCIS (Netherlands)

Mackenbach, J. P.; Kunst, A. E.; Lautenbach, H.; Oei, Y. B.; Bijlsma, F.

1997-01-01

BACKGROUND: Despite the widespread interest in competing causes of death, empirical information on interrelationships between causes of death is scarce. We have used death certificate information to estimate the prevalence of competing causes of death at the moment of dying from specific underlying

Nonlinear joint models for individual dynamic prediction of risk of death using Hamiltonian Monte Carlo: application to metastatic prostate cancer

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Solène Desmée

2017-07-01

Full Text Available Abstract Background Joint models of longitudinal and time-to-event data are increasingly used to perform individual dynamic prediction of a risk of event. However the difficulty to perform inference in nonlinear models and to calculate the distribution of individual parameters has long limited this approach to linear mixed-effect models for the longitudinal part. Here we use a Bayesian algorithm and a nonlinear joint model to calculate individual dynamic predictions. We apply this approach to predict the risk of death in metastatic castration-resistant prostate cancer (mCRPC patients with frequent Prostate-Specific Antigen (PSA measurements. Methods A joint model is built using a large population of 400 mCRPC patients where PSA kinetics is described by a biexponential function and the hazard function is a PSA-dependent function. Using Hamiltonian Monte Carlo algorithm implemented in Stan software and the estimated population parameters in this population as priors, the a posteriori distribution of the hazard function is computed for a new patient knowing his PSA measurements until a given landmark time. Time-dependent area under the ROC curve (AUC and Brier score are derived to assess discrimination and calibration of the model predictions, first on 200 simulated patients and then on 196 real patients that are not included to build the model. Results Satisfying coverage probabilities of Monte Carlo prediction intervals are obtained for longitudinal and hazard functions. Individual dynamic predictions provide good predictive performances for landmark times larger than 12 months and horizon time of up to 18 months for both simulated and real data. Conclusions As nonlinear joint models can characterize the kinetics of biomarkers and their link with a time-to-event, this approach could be useful to improve patient’s follow-up and the early detection of most at risk patients.

Early Risk stratification for Arrhythmic death in Patients with ST-Elevation Myocardial Infarction

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Mohammad Ali Sadr-Ameli

2007-01-01

Full Text Available Background: Sudden cardiac death is a leading cause of death in patients with ST-elevation myocardial infarction (MI. According to high cost of modern therapeutic modalities it is of paramount importance to define protocols for risk stratification of post-MI patients before considering expensive devices such as implantable cardioverter-defibrillator.Methods: One hundred and thirty seven patients with acute ST-elevation MI were selected and underwent echocardiographic study, holter monitoring and signal-averaged electrocardiography (SAECG. Then, the patients were followed for 12 ±3 months.Results: During follow-up, 13 deaths (9.5% occurred; nine cases happened as sudden cardiac death (6.6%. The effect of ejection fraction (EF less than 40% on occurrence of arrhythmic events was significant (P<0.001. Sensitivity and positive predictive value of EF<40% was 100% and 76.95% respectively. Although with lesser sensitivity and predictive power than EF<40%, abnormal heart rate variability (HRV and SAECG had also significant effects on occurrence of sudden death (P=0.02 and P=0.003 respectively. Nonsustained ventricular tachycardia was not significantly related to risk of sudden death in this study (P=0.20.Conclusions: This study indicated that EF less than 40% is the most powerful predictor of sudden cardiac death in post MI patients. Abnormal HRV and SAECG are also important predictors and can be added to EF for better risk stratification.

Estimating external causes of death in Thailand 1996-2009 based on the 2005 Verbal Autopsy study

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Nuntaporn Klinjun

2014-12-01

Full Text Available This study aimed to develop models based on Verbal Autopsy (VA data and to estimate correct number of deaths from external causes in Thailand from 1996 to 2009. Logistic regression was used to create models of the three external causes of death classified by province, gender-age group and Vital registration (VR cause-location group. Receiver operating characteristic (ROC curves were used to validate the models by matching the number of reported deaths to the number of deaths predicted by the models. The models provided accurate prediction results, with false positive error rates 1.6%, 2.0% and 0.6% and sensitivities 73.8%, 46.3% and 62.0%, respectively. The results reveal that under-reporting of external causes of death increased over the 14-year period. Our statistical method confirms that the Thai 2005 VA data can be used to estimate external causes of death from VR report in Thailand to allow for the under-reporting rate.

Post-Marketing Regulation of Medicines Withdrawn from the Market Because of Drug-Attributed Deaths: An Analysis of Justification.

Science.gov (United States)

Onakpoya, Igho J; Heneghan, Carl J; Aronson, Jeffrey K

2017-05-01

Several medicinal products have been withdrawn from the market because of drug-attributed deaths. However, there has been no investigation of whether such withdrawals were justified, and the extent to which confirmatory studies are used to investigate drug-adverse event relationships when deaths are reported is uncertain. We documented medicinal products withdrawn from the market because of drug-attributed deaths, identified confirmatory studies investigating the drug-adverse event relationships, examined whether withdrawals of medicinal products because of drug-attributed deaths after marketing were justified based on a mechanistic analysis, and examined the trends over time. We searched electronic and non-electronic sources to identify medicinal products that were withdrawn because of drug-attributed deaths. We used a previously published algorithm to examine whether the withdrawals of products were justified. We then searched PubMed and Google Scholar to identify studies investigating the drug-adverse event relationships, used the Oxford Centre for Evidence-Based Medicine criteria to document the levels of evidence, and assessed whether the evidence of an association was confirmed. We included 83 medicinal products. The reasons for withdrawal appeared to have been justified in 80 cases (96%). The median interval between the first reported adverse reaction that was related to the cause of death and the first reported death was 1 year (interquartile range = 1-3); products were withdrawn sooner when the interval between the first reported relevant adverse reaction and the first death was shorter. Confirmatory studies were conducted in 57 instances (69%), and there was evidence of an association in 52 cases (63%). Four products (5%) were re-introduced after initial withdrawal. Regulatory authorities have been justified in making withdrawal decisions when deaths have been attributed to medicinal products, using the precautionary principle when alternative decisions

Evaluating the utility of subjective effects measures for predicting product sampling, enrollment, and retention in a clinical trial of a smokeless tobacco product.

Science.gov (United States)

O'Connor, Richard J; Lindgren, Bruce R; Schneller, Liane M; Shields, Peter G; Hatsukami, Dorothy K

2018-01-01

Subjective effects of drugs, representing pharmacological and non-pharmacological effects, have been shown to be associated with future use and abuse. This also is the case for tobacco products and so measuring subjective effects, such as liking, satisfaction, and aversion, is crucial to gaining an understanding of consumer perception leading to increased use. This study examined the predictive validity of subjective drug and product effects with respect to product adoption. Smokers (N=151) were enrolled in Minneapolis, Columbus, and Buffalo. Participants were shown two snus products (Camel Snus Winterchill and Robust), asked to try each of the products for 5min and to rate them using the Product Evaluation Scale (PES) and Drug Effects Questionnaire (DEQ). This was followed by a one-week use period of their preferred product and those who used at least 1 unit of Camel Snus per day (or at least 7 pouches total) were eligible to enroll in the Clinical Trial Phase assessing the impact of complete switching or dual use with smoking. Key outcomes for this study were product evaluation, extent of product use, and Clinical Trial enrollment. We noted no relationships between participant characteristics such as gender, age, prior smokeless use, baseline cigarettes per day (CPD), or PES and DEQ scores with any of these outcome variables. Subjective effects were weak predictors of product use, which totaled approximately 3units of snus per day. Regardless of product, it appears that PES and DEQ ratings were uniformly poor predictors of trial enrollment and retention, though they do predict the amount of snus used during the sampling phase. Findings indicate that while subjective effects predict product preference in the short-term, they did not consistently predict extent of use or enrollment in the trial, suggesting that these initial measures have limited implications for long-term behavior. Copyright © 2017. Published by Elsevier Ltd.

Signatures of energy flux in particle production: a black hole birth cry and death gasp

Energy Technology Data Exchange (ETDEWEB)

Good, Michael R.R. [Department of Physics, Nazarbayev University,53 Kabanbay Batyr Ave., Astana, Republic of (Kazakhstan); Ong, Yen Chin [Nordic Institute for Theoretical Physics, KTH Royal Institute of Technology Stockholm University,Roslagstullsbacken 23, SE-106 91 Stockholm (Sweden)

2015-07-27

It is recently argued that if the Hawking radiation process is unitary, then a black hole’s mass cannot be monotonically decreasing. We examine the time dependent particle count and negative energy flux in the non-trivial conformal vacuum via the moving mirror approach. A new, exactly unitary solution is presented which emits a characteristic above-thermal positive energy burst, a thermal plateau, and negative energy flux. It is found that the characteristic positive energy flare and thermal plateau is observed in the particle outflow. However, the results of time dependent particle production show no overt indication of negative energy flux. Therefore, a black hole’s birth cry is detectable by asymptotic observers via particle count, whereas its death gasp is not.

Image processing system performance prediction and product quality evaluation

Science.gov (United States)

Stein, E. K.; Hammill, H. B. (Principal Investigator)

1976-01-01

The author has identified the following significant results. A new technique for image processing system performance prediction and product quality evaluation was developed. It was entirely objective, quantitative, and general, and should prove useful in system design and quality control. The technique and its application to determination of quality control procedures for the Earth Resources Technology Satellite NASA Data Processing Facility are described.

DATA MINING METHODOLOGY FOR DETERMINING THE OPTIMAL MODEL OF COST PREDICTION IN SHIP INTERIM PRODUCT ASSEMBLY

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Damir Kolich

2016-03-01

Full Text Available In order to accurately predict costs of the thousands of interim products that are assembled in shipyards, it is necessary to use skilled engineers to develop detailed Gantt charts for each interim product separately which takes many hours. It is helpful to develop a prediction tool to estimate the cost of interim products accurately and quickly without the need for skilled engineers. This will drive down shipyard costs and improve competitiveness. Data mining is used extensively for developing prediction models in other industries. Since ships consist of thousands of interim products, it is logical to develop a data mining methodology for a shipyard or any other manufacturing industry where interim products are produced. The methodology involves analysis of existing interim products and data collection. Pre-processing and principal component analysis is done to make the data “user-friendly” for later prediction processing and the development of both accurate and robust models. The support vector machine is demonstrated as the better model when there are a lower number of tuples. However as the number of tuples is increased to over 10000, then the artificial neural network model is recommended.

Distance saturation product predicts health-related quality of life among sarcoidosis patients.

Science.gov (United States)

Bourbonnais, Julie M; Malaisamy, Subramanian; Dalal, Bhavinkumar D; Samarakoon, Priyan C; Parikh, Swapna R; Samavati, Lobelia

2012-06-13

Sarcoidosis is a chronic disease with different phenotypic manifestations. Health-related quality of life is an important aspect in sarcoidosis, yet difficult to measure. The objective of this study was to identify clinical markers predictive of poor quality of life in sarcoidosis patients that can be followed over time and targeted for intervention. We assessed the quality of life of 162 patients with confirmed sarcoidosis in a prospective, cross-sectional study using the Sarcoidosis Health Questionnaire (SHQ) and Short Form-36 Health Survey (SF-36). We evaluated the validity of these questionnaires and sought to identify variables that would best explain the performance scores of the patients. On multivariate regression analyses, the very best composite model to predict total scores from both surveys was a model containing the distance-saturation product and Borg Dyspnea Scale score at the end of a 6-min walk test. This model could better predict SF-36 scores (R² = 0.33) than SHQ scores (R² = 0.24). Substitution of distanced walked in 6 min for the distance-saturation product in this model resulted in a lesser ability to predict both scores (R² = 0.26 for SF-36; R² = 0.22 for SHQ). Both the SHQ and SF-36 surveys are valuable tools in the assessment of health-related quality of life in sarcoidosis patients. The best model to predict quality of life among these patients, as determined by regression analyses, included the distance-saturation product and Borg score after the 6-min walk test. Both variables represent easily obtainable clinical parameters that can be followed over time and targeted for intervention.

Physiology declines prior to death in Drosophila melanogaster.

Science.gov (United States)

Shahrestani, Parvin; Tran, Xuan; Mueller, Laurence D

2012-10-01

For a period of 6-15 days prior to death, the fecundity and virility of Drosophila melanogaster fall significantly below those of same-aged flies that are not near death. It is likely that other aspects of physiology may decline during this period. This study attempts to document changes in two physiological characteristics prior to death: desiccation resistance and time-in-motion. Using individual fecundity estimates and previously described models, it is possible to accurately predict which flies in a population are near death at any given age; these flies are said to be in the "death spiral". In this study of approximately 7,600 females, we used cohort mortality data and individual fecundity estimates to dichotomize each of five replicate populations of same-aged D. melanogaster into "death spiral" and "non-spiral" groups. We then compared these groups for two physiological characteristics that decline during aging. We describe the statistical properties of a new multivariate test statistic that allows us to compare the desiccation resistance and time-in-motion for two populations chosen on the basis of their fecundity. This multivariate representation of the desiccation resistance and time-in-motion of spiral and non-spiral females was shown to be significantly different with the spiral females characterized by lower desiccation resistance and time spent in motion. Our results suggest that D. melanogaster may be used as a model organism to study physiological changes that occur when death is imminent.

Deliberating death.

Science.gov (United States)

Landes, Scott D

2010-01-01

Utilizing a particular case study of a woman attempting to come to terms with her death, this article explores the difficult metaphors of death present within the Christian tradition. Tracing a Christian understanding of death back to the work of Augustine, the case study is utilized to highlight the difficulties presented by past and present theology embracing ideas of punishment within death. Following the trajectory of the case study, alternative understandings of death present in recent Christian theology and within Native American spirituality are presented in an attempt to find room for a fuller meaning of death post-reconciliation, but premortem.

Development of a radiation track structure clustering algorithm for the prediction of DNA DSB yields and radiation induced cell death in Eukaryotic cells.

Science.gov (United States)

Douglass, Michael; Bezak, Eva; Penfold, Scott

2015-04-21

The preliminary framework of a combined radiobiological model is developed and calibrated in the current work. The model simulates the production of individual cells forming a tumour, the spatial distribution of individual ionization events (using Geant4-DNA) and the stochastic biochemical repair of DNA double strand breaks (DSBs) leading to the prediction of survival or death of individual cells. In the current work, we expand upon a previously developed tumour generation and irradiation model to include a stochastic ionization damage clustering and DNA lesion repair model. The Geant4 code enabled the positions of each ionization event in the cells to be simulated and recorded for analysis. An algorithm was developed to cluster the ionization events in each cell into simple and complex double strand breaks. The two lesion kinetic (TLK) model was then adapted to predict DSB repair kinetics and the resultant cell survival curve. The parameters in the cell survival model were then calibrated using experimental cell survival data of V79 cells after low energy proton irradiation. A monolayer of V79 cells was simulated using the tumour generation code developed previously. The cells were then irradiated by protons with mean energies of 0.76 MeV and 1.9 MeV using a customized version of Geant4. By replicating the experimental parameters of a low energy proton irradiation experiment and calibrating the model with two sets of data, the model is now capable of predicting V79 cell survival after low energy (cell survival probability, the cell survival probability is calculated for each cell in the geometric tumour model developed in the current work. This model uses fundamental measurable microscopic quantities such as genome length rather than macroscopic radiobiological quantities such as alpha/beta ratios. This means that the model can be theoretically used under a wide range of conditions with a single set of input parameters once calibrated for a given cell line.

The political uses of astrology: predicting the illness and death of princes, kings and popes in the Italian Renaissance.

Science.gov (United States)

Azzolini, Monica

2010-06-01

This paper examines the production and circulation of astrological prognostications regarding the illness and death of kings, princes, and popes in the Italian Renaissance (ca. 1470-1630). The distribution and consumption of this type of astrological information was often closely linked to the specific political situation in which they were produced. Depending on the astrological techniques used (prorogations, interrogations, or annual revolutions), and the media in which they appeared (private letters or printed prognostica) these prognostications fulfilled different functions in the information economy of Renaissance Italy. Some were used to legitimise the rule of a political leader, others to do just the opposite. Astrological prorogations and interrogations were often used to plan military and political strategies in case of the illness or death of a political leader, while astrological prognostications were generally written to promote certain political leaders while undermining others. While certainly often partisan to this game, astrologers, for their part, worked within a very well established tradition that gave authority to their forecasts. This paper argues that, as indicators of deeper political tensions otherwise not always explicitly manifest, these prognostications are privileged sources of information providing a better understanding of the political history of the period.

Expression of death-related genes and reactive oxygen species production in Skeletonema tropicum upon exposure to the polyunsaturated aldehyde octadienal

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Alessandra A. Gallina

2015-11-01

Full Text Available The effects of 4E/Z-octadienal (OCTA on ScDSP-1 and ScDSP-2 gene expression and reactive oxygen species (ROS production were investigated in the marine diatom Skeletonema tropicum (formerly costatum using qRTPCR and flow cytometry. ScDSP-1 and ScDSP-2 genes have been previously shown to be involved in cell death in ageing cells and in response to photosynthetic stress. OCTA induced a differential, concentration-dependent DSP gene expression associated to ROS production, 821.6 and 97.7 folds higher for ScDSP-1 and ScDSP-2, respectively. Among the concentrations tested, only 8 μM OCTA, which caused a reduction of 50% in cell concentrations at 24 h, was able to elicit an expression pattern consistent with a signalling role. Interestingly, only intermediate levels of reactive oxygen species (ROS (i.e., 1.5±0.1 increase were observed to be elicited by such concentration. These results suggest that ROS are key components of the molecular cascade triggered by polyunsaturated aldehydes (PUA and leading to cell death. This could have implications for bloom final stages at sea, where PUA may act as effectors of diatom population dynamics through ROS acting as modulators.

Risk Factors Analysis and Death Prediction in Some Life-Threatening Ailments Using Chi-Square Case-Based Reasoning (χ2 CBR) Model.

Science.gov (United States)

Adeniyi, D A; Wei, Z; Yang, Y

2018-01-30

A wealth of data are available within the health care system, however, effective analysis tools for exploring the hidden patterns in these datasets are lacking. To alleviate this limitation, this paper proposes a simple but promising hybrid predictive model by suitably combining the Chi-square distance measurement with case-based reasoning technique. The study presents the realization of an automated risk calculator and death prediction in some life-threatening ailments using Chi-square case-based reasoning (χ 2 CBR) model. The proposed predictive engine is capable of reducing runtime and speeds up execution process through the use of critical χ 2 distribution value. This work also showcases the development of a novel feature selection method referred to as frequent item based rule (FIBR) method. This FIBR method is used for selecting the best feature for the proposed χ 2 CBR model at the preprocessing stage of the predictive procedures. The implementation of the proposed risk calculator is achieved through the use of an in-house developed PHP program experimented with XAMP/Apache HTTP server as hosting server. The process of data acquisition and case-based development is implemented using the MySQL application. Performance comparison between our system, the NBY, the ED-KNN, the ANN, the SVM, the Random Forest and the traditional CBR techniques shows that the quality of predictions produced by our system outperformed the baseline methods studied. The result of our experiment shows that the precision rate and predictive quality of our system in most cases are equal to or greater than 70%. Our result also shows that the proposed system executes faster than the baseline methods studied. Therefore, the proposed risk calculator is capable of providing useful, consistent, faster, accurate and efficient risk level prediction to both the patients and the physicians at any time, online and on a real-time basis.

Chemokine CCL2–CCR2 Signaling Induces Neuronal Cell Death via STAT3 Activation and IL-1β Production after Status Epilepticus

Science.gov (United States)

Tian, Dai-Shi; Feng, Li-Jie; Liu, Jun-Li

2017-01-01

Elevated levels of chemokine C-C motif ligand 2 (CCL2) and its receptor CCR2 have been reported in patients with temporal lobe epilepsy and in experimental seizures. However, the functional significance and molecular mechanism underlying CCL2–CCR2 signaling in epileptic brain remains largely unknown. In this study, we found that the upregulated CCL2 was mainly expressed in hippocampal neurons and activated microglia from mice 1 d after kainic acid (KA)-induced seizures. Taking advantage of CX3CR1GFP/+:CCR2RFP/+ double-transgenic mice, we demonstrated that CCL2–CCR2 signaling has a role in resident microglial activation and blood-derived monocyte infiltration. Moreover, seizure-induced degeneration of neurons in the hippocampal CA3 region was attenuated in mice lacking CCL2 or CCR2. We further showed that CCR2 activation induced STAT3 (signal transducer and activator of transcription 3) phosphorylation and IL-1β production, which are critical for promoting neuronal cell death after status epilepticus. Consistently, pharmacological inhibition of STAT3 by WP1066 reduced seizure-induced IL-1β production and subsequent neuronal death. Two weeks after KA-induced seizures, CCR2 deficiency not only reduced neuronal loss, but also attenuated seizure-induced behavioral impairments, including anxiety, memory decline, and recurrent seizure severity. Together, we demonstrated that CCL2–CCR2 signaling contributes to neurodegeneration via STAT3 activation and IL-1β production after status epilepticus, providing potential therapeutic targets for the treatment of epilepsy. SIGNIFICANCE STATEMENT Epilepsy is a global concern and epileptic seizures occur in many neurological conditions. Neuroinflammation associated with microglial activation and monocyte infiltration are characteristic of epileptic brains. However, molecular mechanisms underlying neuroinflammation in neuronal death following epilepsy remain to be elucidated. Here we demonstrate that CCL2–CCR2 signaling is

Standard-model predictions for W-pair production in electron-positron collisions

International Nuclear Information System (INIS)

Beenakker, W.; Denner, A.

1994-03-01

We review the status of the theoretical predictions for W-pair production in e + e - collisions within the electroweak standard model (SM). We first consider for on-shell W-bosons the lowest-order cross-section within the SM, the general effects of anomalous couplings, the radiative corrections within the SM, and approximations for them. Then we discuss the inclusion of finite-width effects in lowest order and the existing results for radiative corrections to off-shell W-pair production, and we outline the general strategy to calculate radiative corrections within the pole scheme. We summarize the theoretical predictions for the total and partial W-boson widths including radiative corrections and discuss the quality of an improved Born approximation. Finally we provide a general discussion of the structure-function method to calculate large logarithmic higher-order corrections associated with collinear photon radiation. (orig.)

The structure function of the death domain of human IRAK-M.

Science.gov (United States)

Du, Jiangfeng; Nicolaes, Gerry Af; Kruijswijk, Danielle; Versloot, Miranda; van der Poll, Tom; van 't Veer, Cornelis

2014-12-07

IRAK-M is an inhibitor of Toll-like receptor signaling that acts by re-directing IRAK-4 activity to TAK1 independent NF-κB activation and by inhibition of IRAK-1/IRAK-2 activity. IRAK-M is expressed in monocytes/macrophages and lung epithelial cells. Lack of IRAK-M in mice greatly improves the resistance to nosocomial pneumonia and lung tumors, which entices IRAK-M as a potential therapeutic target. IRAK-M consists of an N-terminal death domain (DD), a dysfunctional kinase domain and unstructured C-terminal domain. Little is known however on IRAK-M's structure-function relationships. Since death domains provide the important interactions of IRAK-1, IRAK-2 and IRAK-4 molecules, we generated a 3D structure model of the human IRAK-M-DD (residues C5-G119) to guide mutagenesis studies and predict protein-protein interaction points. First we identified the DD residues involved in the endogenous capacity of IRAK-M to activate NF-κB that is displayed upon overexpression in 293T cells. W74 and R97, at distinct interfaces of the IRAK-M-DD, were crucial for this endogenous NF-κB activating capacity, as well as the C-terminal domain (S445-E596) of IRAK-M. Resulting anti-inflammatory A20 and pro-inflammatory IL-8 transcription in 293T cells was W74 dependent, while IL-8 protein expression was dependent on R97 and the TRAF6 binding motif at P478. The IRAK-M-DD W74 and R97 binding interfaces are predicted to interact with opposite sides of IRAK-4-DD's. Secondly we identified DD residues important for the inhibitory action of IRAK-M by stable overexpression of mutants in THP-1 macrophages and H292 lung epithelial cells. IRAK-M inhibited TLR2/4-mediated cytokine production in macrophages in a manner that is largely dependent on W74. R97 was not involved in inhibition of TNF production but was engaged in IL-6 down-regulation by IRAK-M. Protein-interactive residues D19-A23, located in between W74 and R97, were also observed to be crucial for inhibition of TLR2/4 mediated cytokine

Prediction of sand production onset in petroleum reservoirs using a reliable classification approach

Directory of Open Access Journals (Sweden)

Farhad Gharagheizi

2017-06-01

It is shown that the developed model can accurately predict the sand production in a real field. The results of this study indicates that implementation of LSSVM modeling can effectively help completion designers to make an on time sand control plan with least deterioration of production.

Air quality and acute deaths in California, 2000-2012.

Science.gov (United States)

Young, S Stanley; Smith, Richard L; Lopiano, Keneth K

2017-08-01

Many studies have shown an association between air quality and acute deaths, and such associations are widely interpreted as causal. Several factors call causation and even association into question, for example multiple testing and multiple modeling, publication bias and confirmation bias. Many published studies are difficult or impossible to reproduce because of lack of access to confidential data sources. Here we make publically available a dataset containing daily air quality levels, PM 2.5 and ozone, daily temperature levels, minimum and maximum and daily maximum relative humidity levels for the eight most populous California air basins, thirteen years, >2M deaths, over 37,000 exposure days. The data are analyzed using standard time series analysis, and a sensitivity analysis is computed varying model parameters, locations and years. Our analysis finds little evidence for association between air quality and acute deaths. These results are consistent with those for the widely cited NMMAPS dataset when the latter are restricted to California. The daily death variability was mostly explained by time of year or weather variables; Neither PM 2.5 nor ozone added appreciably to the prediction of daily deaths. These results call into question the widespread belief that association between air quality and acute deaths is causal/near-universal. Copyright © 2017 Elsevier Inc. All rights reserved.

Validation of the 2014 European Society of Cardiology Sudden Cardiac Death Risk Prediction Model in Hypertrophic Cardiomyopathy in a Reference Center in South America.

Science.gov (United States)

Fernández, Adrián; Quiroga, Alejandro; Ochoa, Juan Pablo; Mysuta, Mauricio; Casabé, José Horacio; Biagetti, Marcelo; Guevara, Eduardo; Favaloro, Liliana E; Fava, Agostina M; Galizio, Néstor

2016-07-01

Sudden cardiac death (SCD) is a common cause of death in hypertrophic cardiomyopathy (HC). Our aim was to conduct an external and independent validation in South America of the 2014 European Society of Cardiology (ESC) SCD risk prediction model to identify patients requiring an implantable cardioverter defibrillator. This study included 502 consecutive patients with HC followed from March, 1993 to December, 2014. A combined end point of SCD or appropriate implantable cardioverter defibrillator therapy was assessed. For the quantitative estimation of individual 5-year SCD risk, we used the formula: 1 - 0.998(exp(Prognostic index)). Our database also included the abnormal blood pressure response to exercise as a risk marker. We analyzed the 3 categories of 5-year risk proposed by the ESC: low risk (LR) validated in our population and represents an improvement compared with previous approaches. A larger multicenter, independent and external validation of the model with long-term follow-up would be advisable. Copyright © 2016 Elsevier Inc. All rights reserved.

Deaths associated with Hurricane Sandy - October-November 2012.

Science.gov (United States)

2013-05-24

On October 29, 2012, Hurricane Sandy hit the northeastern U.S. coastline. Sandy's tropical storm winds stretched over 900 miles (1,440 km), causing storm surges and destruction over a larger area than that affected by hurricanes with more intensity but narrower paths. Based on storm surge predictions, mandatory evacuations were ordered on October 28, including for New York City's Evacuation Zone A, the coastal zone at risk for flooding from any hurricane. By October 31, the region had 6-12 inches (15-30 cm) of precipitation, 7-8 million customers without power, approximately 20,000 persons in shelters, and news reports of numerous fatalities (Robert Neurath, CDC, personal communication, 2013). To characterize deaths related to Sandy, CDC analyzed data on 117 hurricane-related deaths captured by American Red Cross (Red Cross) mortality tracking during October 28-November 30, 2012. This report describes the results of that analysis, which found drowning was the most common cause of death related to Sandy, and 45% of drowning deaths occurred in flooded homes in Evacuation Zone A. Drowning is a leading cause of hurricane death but is preventable with advance warning systems and evacuation plans. Emergency plans should ensure that persons receive and comprehend evacuation messages and have the necessary resources to comply with them.

Performance-based regulation: enterprise responsibility for reducing death, injury, and disease caused by consumer products.

Science.gov (United States)

Sugarman, Stephen D

2009-12-01

This article offers a bold new idea for confronting the staggering level of death, injury, and disease caused by five consumer products: cigarettes, alcohol, guns, junk food, and motor vehicles. Business leaders try to frame these negative outcomes as "collateral damage" that is someone else's problem. That framing not only is morally objectionable but also overlooks the possibility that, with proper prodding, industry could substantially lessen these public health disasters. I seek to reframe the public perception of who is responsible and propose to deploy a promising approach called "performance-based regulation" to combat the problem. Performance-based regulation would impose on manufacturers a legal obligation to reduce the negative social costs of their products. Rather than involving them in litigation or forcing them to operate differently (as "command-and-control" regimes do), performance-based regulation allows the firms to determine how best to decrease bad public health consequences. Like other public health strategies, performance-based regulation focuses on those who are far more likely than individual consumers to achieve real gains. Analogous to a tax on causing harm that exceeds a threshold level, performance-based regulation seeks to harness private initiative in pursuit of the public good.

Biomarkers of myocardial stress and fibrosis as predictors of mode of death in patients with chronic heart failure.

Science.gov (United States)

Ahmad, Tariq; Fiuzat, Mona; Neely, Benjamin; Neely, Megan L; Pencina, Michael J; Kraus, William E; Zannad, Faiez; Whellan, David J; Donahue, Mark P; Piña, Ileana L; Adams, Kirkwood F; Kitzman, Dalane W; O'Connor, Christopher M; Felker, G Michael

2014-06-01

The aim of this study was to determine whether biomarkers of myocardial stress and fibrosis improve prediction of the mode of death in patients with chronic heart failure. The 2 most common modes of death in patients with chronic heart failure are pump failure and sudden cardiac death. Prediction of the mode of death may facilitate treatment decisions. The relationship between amino-terminal pro-brain natriuretic peptide (NT-proBNP), galectin-3, and ST2, biomarkers that reflect different pathogenic pathways in heart failure (myocardial stress and fibrosis), and mode of death is unknown. HF-ACTION (Heart Failure: A Controlled Trial Investigating Outcomes of Exercise Training) was a randomized controlled trial of exercise training versus usual care in patients with chronic heart failure due to left ventricular systolic dysfunction (left ventricular ejection fraction ≤35%). An independent clinical events committee prospectively adjudicated mode of death. NT-proBNP, galectin-3, and ST2 levels were assessed at baseline in 813 subjects. Associations between biomarkers and mode of death were assessed using cause-specific Cox proportional hazards modeling, and interaction testing was used to measure differential associations between biomarkers and pump failure versus sudden cardiac death. Discrimination and risk reclassification metrics were used to assess the added value of galectin-3 and ST2 in predicting mode of death risk beyond a clinical model that included NT-proBNP. After a median follow-up period of 2.5 years, there were 155 deaths: 49 from pump failure, 42 from sudden cardiac death, and 64 from other causes. Elevations in all biomarkers were associated with increased risk for both pump failure and sudden cardiac death in both adjusted and unadjusted analyses. In each case, increases in the biomarker had a stronger association with pump failure than sudden cardiac death, but this relationship was attenuated after adjustment for clinical risk factors. Clinical

Life Experience with Death: Relation to Death Attitudes and to the Use of Death-Related Memories

Science.gov (United States)

Bluck, Susan; Dirk, Judith; Mackay, Michael M.; Hux, Ashley

2008-01-01

The study examines the relation of death experience to death attitudes and to autobiographical memory use. Participants (N = 52) completed standard death attitude measures and wrote narratives about a death-related autobiographical memory and (for comparison) a memory of a low point. Self-ratings of the memory narratives were used to assess their…

NLO QCD predictions for Z+γ + jets production with Sherpa

Science.gov (United States)

Krause, Johannes; Siegert, Frank

2018-02-01

We present precise predictions for prompt photon production in association with a Z boson and jets. They are obtained within the Sherpa framework as a consistently merged inclusive sample. Leptonic decays of the Z boson are fully included in the calculation with all off-shell effects. Virtual matrix elements are provided by OpenLoops and parton-shower effects are simulated with a dipole parton shower. Thanks to the NLO QCD corrections included not only for inclusive Zγ production but also for the Zγ + 1-jet process we find significantly reduced systematic uncertainties and very good agreement with experimental measurements at √{s}=8 TeV. Predictions at √{s}=13 TeV are displayed including a study of theoretical uncertainties. In view of an application of these simulations within LHC experiments, we discuss in detail the necessary combination with a simulation of the Z + jets final state. In addition to a corresponding prescription we introduce recommended cross checks to avoid common pitfalls during the overlap removal between the two samples.

NLO QCD predictions for Z + γ + jets production with Sherpa

Energy Technology Data Exchange (ETDEWEB)

Krause, Johannes; Siegert, Frank [Institut fuer Kern- und Teilchenphysik, Dresden (Germany)

2018-02-15

We present precise predictions for prompt photon production in association with a Z boson and jets. They are obtained within the Sherpa framework as a consistently merged inclusive sample. Leptonic decays of the Z boson are fully included in the calculation with all off-shell effects. Virtual matrix elements are provided by OpenLoops and parton-shower effects are simulated with a dipole parton shower. Thanks to the NLO QCD corrections included not only for inclusive Zγ production but also for the Zγ + 1-jet process we find significantly reduced systematic uncertainties and very good agreement with experimental measurements at √(s) = 8 TeV. Predictions at √(s) = 13 TeV are displayed including a study of theoretical uncertainties. In view of an application of these simulations within LHC experiments, we discuss in detail the necessary combination with a simulation of the Z + jets final state. In addition to a corresponding prescription we introduce recommended cross checks to avoid common pitfalls during the overlap removal between the two samples. (orig.)

[Predicting value of 2014 European guidelines risk prediction model for sudden cardiac death (HCM Risk-SCD) in Chinese patients with hypertrophic cardiomyopathy].

Science.gov (United States)

Li, W X; Liu, L W; Wang, J; Zuo, L; Yang, F; Kang, N; Lei, C H

2017-12-24

Objective: To evaluate the predicting value of the 2014 European Society of Cardiology (ESC) guidelines risk prediction model for sudden cardiac death (HCM Risk-SCD) in Chinese patients with hypertrophic cardiomyopathy (HCM), and to explore the predictors of adverse cardiovascular events in Chinese HCM patients. Methods: The study population consisted of a consecutive 207 HCM patients admitted in our center from October 2014 to October 2016. All patients were followed up to March 2017. The 5-year SCD probability of each patient was estimated using HCM Risk-SCD model based on electrocardiogram, echocardiography and cardiac magnetic resonance (CMR) examination results. The primary, second, and composite endpoints were recorded. The primary endpoint included SCD and appropriate ICD therapy, identical to the HCM Risk-SCD endpoint. The second endpoint included acute myocardial infarction, hospitalization for heart failure, thrombus embolism and end-stage HCM. The composite endpoint was either the primary or the second endpoint. Patients were divided into the 3 categories according to 5-year SCD probability assessed by HCM Risk-SCD model: low risk grouprisk group ≥4% torisk group≥6%. Results: (1) Prevalence of endpoints: All 207 HCM patients completed the follow-up (350 (230, 547) days). During follow-up, 8 (3.86%) patients reached the primary endpoints (3 cases of SCD, 3 cases of survival after defibrillation, and 2 cases of appropriate ICD discharge); 21 (10.14%) patients reached the second endpoints (1 case of acute myocardial infarction, 16 cases of heart failure hospitalization, 2 cases of thromboembolism, and 2 cases of end-stage HCM). (2) Predicting value of HCM Risk-SCD model: Patients with primary endpoints had higher prevalence of syncope and intermediate-high risk of 5-year SCD, as compared to those without primary endpoints (both Pvalue of HCM Risk-SCD model: The low risk group included 122 patients (59%), the intermediate risk group 42 (20%), and the

Fluvial facies reservoir productivity prediction method based on principal component analysis and artificial neural network

Directory of Open Access Journals (Sweden)

Pengyu Gao

2016-03-01

Full Text Available It is difficult to forecast the well productivity because of the complexity of vertical and horizontal developments in fluvial facies reservoir. This paper proposes a method based on Principal Component Analysis and Artificial Neural Network to predict well productivity of fluvial facies reservoir. The method summarizes the statistical reservoir factors and engineering factors that affect the well productivity, extracts information by applying the principal component analysis method and approximates arbitrary functions of the neural network to realize an accurate and efficient prediction on the fluvial facies reservoir well productivity. This method provides an effective way for forecasting the productivity of fluvial facies reservoir which is affected by multi-factors and complex mechanism. The study result shows that this method is a practical, effective, accurate and indirect productivity forecast method and is suitable for field application.

Clinical value of iodine-123 beta-methyliodophenyl pentadecanoic acid (BMIPP) myocardial single photon emission computed tomography for predicting cardiac death among patients with chronic heart failure

International Nuclear Information System (INIS)

Sasaki, Ryu; Usui, Takashi; Mitani, Isao

2003-01-01

In the present study, the effectiveness of 123 I-β-methyliodophenyl pentadecanoic acid (BMIPP) single photon emission computed tomography (SPECT) for predicting cardiac death of patients with chronic heart failure was evaluated. Abnormalities of fatty acid metabolism are found in patients with chronic heart failure and BMIPP was developed as a tracer for scintigraphic assessment of myocardial fatty acid utilization. The study group comprised 74 patients with chronic heart failure with a left ventricular ejection fraction (LVEF) 201 Tl SPECT and BMIPP SPECT. The uptake of tracer was scored semiquantitatively from 0 (normal) to 4 (defect) in 20 segments and a total defect score (TDS) for all 20 segments was calculated. On planar images the mediastinum to heart count ratio (H/M) was calculated for the BMIPP and Tl studies, and the H/M BMIPP :H/M Tl (H/M BMIPP divided by H/M Tl ) was also calculated. The mean follow-up period was 660 days and there were 17 cases of cardiac death. Multivariate analysis identified H/M BMIPP :H/M Tl (p BMIPP :H/M Tl was situated to the left relative to LVEF. Analysis of the myocardial metabolism by BMIPP SPECT can predict the high-risk patients with chronic heart failure. (author)

A cost prediction model for machine operation in multi-field production systems

Directory of Open Access Journals (Sweden)

Alessandro Sopegno

Full Text Available ABSTRACT Capacity planning in agricultural field operations needs to give consideration to the operational system design which involves the selection and dimensioning of production components, such as machinery and equipment. Capacity planning models currently onstream are generally based on average norm data and not on specific farm data which may vary from year to year. In this paper a model is presented for predicting the cost of in-field and transport operations for multiple-field and multiple-crop production systems. A case study from a real production system is presented in order to demonstrate the model’s functionalities and its sensitivity to parameters known to be somewhat imprecise. It was shown that the proposed model can provide operation cost predictions for complex cropping systems where labor and machinery are shared between the various operations which can be individually formulated for each individual crop. By so doing, the model can be used as a decision support system at the strategic level of management of agricultural production systems and specifically for the mid-term design process of systems in terms of labor/machinery and crop selection conforming to the criterion of profitability.

The role of 12/15-lipoxygenases in ROS-mediated neuronal cell death

OpenAIRE

Tobaben, Svenja

2011-01-01

Oxidative stress has been established as a key trigger of neuronal dysfunction and death in age-related neurodegenerative diseases and in delayed neuronal death after acute brain injury by ischemic stroke or brain trauma. Despite increasing knowledge on the toxicity of reactive oxygen species (ROS) and oxidized reaction products that may further accelerate neuronal cell death, the major sources of ROS formation and the mechanisms ...

Precise predictions for supersymmetric particle production at the LHC

Energy Technology Data Exchange (ETDEWEB)

Rothering, Marcel

2016-07-01

One of the main objectives of the Large Hadron Collider (LHC) is the search for physics beyond the Standard Model. Among the most promising candidates is the Minimal Supersymmetric Standard Model (MSSM) which postulates the existence of further particles. Since none of these supersymmetric particles have been found yet, their mass limits have been shifted to high values. Hence, with the available energy of the LHC they would always be produced close to their production threshold. This leads to predictions for cross sections which are characterized by the presence of dominant logarithmic terms stemming from multiple soft gluon emission. These contributions spoil the convergence of the perturbative series and require a resummation to predict reliable results in these critical kinematical phase space regions. As the attention of experimental searches has been shifted towards electroweak supersymmetric particle production at the LHC, we update in this thesis our predictions for direct slepton pair production at proton-proton collision to next-to-leading order (NLO) matched to resummation at the next-to-leading logarithmic (NLL) accuracy. As a benchmark scenario we choose simplified models which have the advantage of only containing a few relevant physical parameters. They are now commonly adopted by the experimental collaborations for slepton and electroweak gaugino searches. We find that the scale dependence is drastically reduced by including NLL corrections, especially for large slepton masses. For increasing mass limits we hint towards the significance of next-to-next-to-leading logarithmic contributions to the cross section. By using modern Monte Carlo techniques we reanalyze ATLAS and CMS results for slepton searches for different assumptions about the compositions of the sleptons and their neutralino decay products. We observe similar mass limits for selectrons and smuons as both collaborations and find that masses for left-handed (right-handed) selectrons and

Nuclear DAMP complex-mediated RAGE-dependent macrophage cell death

Energy Technology Data Exchange (ETDEWEB)

Chen, Ruochan [Department of Surgery, University of Pittsburgh, Pittsburgh, PA 15213 (United States); Department of Infectious Diseases and State Key Lab of Viral Hepatitis, Xiangya Hospital, Central South University, Changsha, Hunan 410008 (China); Fu, Sha; Fan, Xue-Gong [Department of Infectious Diseases and State Key Lab of Viral Hepatitis, Xiangya Hospital, Central South University, Changsha, Hunan 410008 (China); Lotze, Michael T.; Zeh, Herbert J. [Department of Surgery, University of Pittsburgh, Pittsburgh, PA 15213 (United States); Tang, Daolin, E-mail: tangd2@upmc.edu [Department of Surgery, University of Pittsburgh, Pittsburgh, PA 15213 (United States); Kang, Rui, E-mail: kangr@upmc.edu [Department of Surgery, University of Pittsburgh, Pittsburgh, PA 15213 (United States)

2015-03-13

High mobility group box 1 (HMGB1), histone, and DNA are essential nuclear components involved in the regulation of chromosome structure and function. In addition to their nuclear function, these molecules act as damage-associated molecular patterns (DAMPs) alone or together when released extracellularly. The synergistic effect of these nuclear DNA-HMGB1-histone complexes as DAMP complexes (nDCs) on immune cells remains largely unexplored. Here, we demonstrate that nDCs limit survival of macrophages (e.g., RAW264.7 and peritoneal macrophages) but not cancer cells (e.g., HCT116, HepG2 and Hepa1-6). nDCs promote production of inflammatory tumor necrosis factor α (TNFα) release, triggering reactive oxygen species-dependent apoptosis and necrosis. Moreover, the receptor for advanced glycation end products (RAGE), but not toll-like receptor (TLR)-4 and TLR-2, was required for Akt-dependent TNFα release and subsequent cell death following treatment with nDCs. Genetic depletion of RAGE by RNAi, antioxidant N-Acetyl-L-cysteine, and TNFα neutralizing antibody significantly attenuated nDC-induced cell death. These findings provide evidence supporting novel signaling mechanisms linking nDCs and inflammation in macrophage cell death. - Highlights: • Nuclear DAMP complexes (nDCs) selectively induce cell death in macrophages, but not cancer cells. • TNFα-mediated oxidative stress is required for nDC-induced death. • RAGE-mediated Akt activation is required for nDC-induced TNFα release. • Blocking RAGE and TNFα inhibits nDC-induced macrophage cell death.

Predictions of nitrogen oxides production in diffusion turbulent flames; Predictions de la production des oxydes d`azote dans les flammes turbulentes de diffusion

Energy Technology Data Exchange (ETDEWEB)

Sanders, H.; Gokalp, I. [Centre National de la Recherche Scientifique (CNRS), 45 - Orleans-la-Source (France). Laboratoire de Combustion Systemes Reactifs

1996-12-31

The suitability of the turbulent combustion flamelets model in order to predict the index of NO{sub x} production in turbulent flames of hydrogen diffusion is analyzed. In the flamelet approach, the turbulent flame is equivalent to a group of laminar flames submitted to a mechanical stretching which generates a chemical disequilibrium. This effect can be described by the stretching or by the scalar dissipation ratio. A numerical modeling is performed in order to evaluate the advantages of both approaches and to compare the behaviour of the NO{sub x} emission index with the experiments of Chen and Driscoll. This study shows that predictions of NO{sub x} emission indexes have a correct behaviour with respect to the Damkoehler number only when the scalar dissipation ratio is used as a parameter to describe the chemical state outside equilibrium. Predictions of the flamelet models are improving when the Damkoehler number increases. On the other hand, the absolute NO{sub x} concentrations are overestimated and can be due to the effects of differential diffusion. (J.S.) 14 refs.

A risk score for in-hospital death in patients admitted with ischemic or hemorrhagic stroke.

Science.gov (United States)

Smith, Eric E; Shobha, Nandavar; Dai, David; Olson, DaiWai M; Reeves, Mathew J; Saver, Jeffrey L; Hernandez, Adrian F; Peterson, Eric D; Fonarow, Gregg C; Schwamm, Lee H

2013-01-28

We aimed to derive and validate a single risk score for predicting death from ischemic stroke (IS), intracerebral hemorrhage (ICH), and subarachnoid hemorrhage (SAH). Data from 333 865 stroke patients (IS, 82.4%; ICH, 11.2%; SAH, 2.6%; uncertain type, 3.8%) in the Get With The Guidelines-Stroke database were used. In-hospital mortality varied greatly according to stroke type (IS, 5.5%; ICH, 27.2%; SAH, 25.1%; unknown type, 6.0%; Pmortality and to assign point scores for a prediction model in the overall population and in the subset with the National Institutes of Health Stroke Scale (NIHSS) recorded (37.1%). The c statistic, a measure of how well the models discriminate the risk of death, was 0.78 in the overall validation sample and 0.86 in the model including NIHSS. The model with NIHSS performed nearly as well in each stroke type as in the overall model including all types (c statistics for IS alone, 0.85; for ICH alone, 0.83; for SAH alone, 0.83; uncertain type alone, 0.86). The calibration of the model was excellent, as demonstrated by plots of observed versus predicted mortality. A single prediction score for all stroke types can be used to predict risk of in-hospital death following stroke admission. Incorporation of NIHSS information substantially improves this predictive accuracy.

Quasi-Birth-and-Death Processes with Rational Arrival Process Components

DEFF Research Database (Denmark)

Bean, Nigel G.; Nielsen, Bo Friis

2010-01-01

This paper introduces the concept of a Quasi-Birth-and-Death process (QBD) with Rational Arrival Process (RAP) components. We use the physical interpretation of the prediction process of the RAP, developed by Asmussen and Bladt, and develop an analysis that parallels the analysis of a traditional...... QBD. Further, we present an algorithm for the numerical evaluation of the matrix G. As an example, we consider two queues where the arrival process and the sequence of service times are taken from two dependent RAPs, that are not Markovian Arrival Processes......This paper introduces the concept of a Quasi-Birth-and-Death process (QBD) with Rational Arrival Process (RAP) components. We use the physical interpretation of the prediction process of the RAP, developed by Asmussen and Bladt, and develop an analysis that parallels the analysis of a traditional...

Gun ownership and firearm-related deaths.

Science.gov (United States)

Bangalore, Sripal; Messerli, Franz H

2013-10-01

A variety of claims about possible associations between gun ownership rates, mental illness burden, and the risk of firearm-related deaths have been put forward. However, systematic data on this issue among various countries remain scant. Our objective was to assess whether the popular notion "guns make a nation safer" has any merits. Data on gun ownership were obtained from the Small Arms Survey, and for firearm-related deaths from a European detailed mortality database (World Health Organization), the National Center for Health Statistics, and others. Crime rate was used as an indicator of safety of the nation and was obtained from the United Nations Surveys of Crime Trends. Age-standardized disability-adjusted life-year rates due to major depressive disorder per 100,000 inhabitants with data obtained from the World Health Organization database were used as a putative indicator for mental illness burden in a given country. Among the 27 developed countries, there was a significant positive correlation between guns per capita per country and the rate of firearm-related deaths (r = 0.80; P ownership and mental illness as independent covariates, gun ownership was a significant predictor (P <.0001) of firearm-related deaths, whereas mental illness was of borderline significance (P = .05) only. The number of guns per capita per country was a strong and independent predictor of firearm-related death in a given country, whereas the predictive power of the mental illness burden was of borderline significance in a multivariable model. Regardless of exact cause and effect, however, the current study debunks the widely quoted hypothesis that guns make a nation safer. Copyright © 2013 Elsevier Inc. All rights reserved.

Predicting the initial freezing point and water activity of meat products from composition data

NARCIS (Netherlands)

Sman, van der R.G.M.; Boer, E.P.J.

2005-01-01

In this paper we predict the water activity and initial freezing point of food products (meat and fish) based on their composition. The prediction is based on thermodynamics (the Clausius-Clapeyron equation, the Ross equation and an approximation of the Pitzer equation). Furthermore, we have taken

Temporal correlation between opiate seizures in East/Southeast Asia and B.C. heroin deaths: a transoceanic model of heroin death risk.

Science.gov (United States)

McLean, Mark E

2003-01-01

Because heroin supply changes cannot be measured directly, their impact on populations is poorly understood. British Columbia has experienced an injection drug use epidemic since the 1980s that resulted in 2,590 illicit drug deaths from 1990-1999. Since previous work indicates heroin seizures can correlate with supply and B.C. receives heroin only from Southeast Asia, this study examined B.C. heroin deaths against opiate seizures in East/Southeast Asia. Opiate seizures in East/Southeast Asia and data from two B.C. mortality datasets containing heroin deaths were examined. The Pearson correlation coefficient for seizures against each mortality dataset was determined. Opiate seizures, all illicit drug deaths and all opiate deaths concurrently increased twice and decreased twice from 1989-1999, and all reached new peak values in 1993. Three B.C. sub-regions exhibited illicit drug deaths rate trends concurrent with the three principal datasets studied. The Pearson correlation coefficient for opiate-induced deaths against opiate seizures from 1980-1999 was R=0.915 (popiate seizures from 1987-1999 was R=0.896 (popiate seizures in East/Southeast Asia were very strongly correlated with B.C. opiate and illicit drug deaths. The number of B.C. heroin-related deaths may be strongly linked to heroin supply. Enforcement services are not effective in preventing harm caused by heroin in B.C.; therefore, Canada should examine other methods to prevent harm. The case for harm reduction is strengthened by the ineffectiveness of enforcement and the unlikelihood of imminent eradication of heroin production in Southeast Asia.

Quality insights of university teachers on dying, death, and death education.

Science.gov (United States)

Mak, Mui-Hing June

One of the main responsibilities of teachers is to help individual students cope with life difficulties such as grief following a death. However, very little research explores teachers' views on death, dying, and how they handle grief and loss in schools. This study aims to explore university teachers' knowledge and attitudes on dying, death, and death education. Fifteen university teachers were recruited using a qualitative method. This study reveals that most teachers' views on death and related issues are largely affected by their death experiences, religious beliefs, professional background, and the mass media. Although they have a general negative response toward death and dying, some teachers begin to affirm their meanings of life and death. Most teachers agree that they do not feel adequate about managing and teaching on life and death issues, so they strongly support including death education in the formal programs in Hong Kong.

An analytical model to predict the volume of sand during drilling and production

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Raoof Gholami

2016-08-01

Full Text Available Sand production is an undesired phenomenon occurring in unconsolidated formations due to shear failure and hydrodynamic forces. There have been many approaches developed to predict sand production and prevent it by changing drilling or production strategies. However, assumptions involved in these approaches have limited their applications to very specific scenarios. In this paper, an elliptical model based on the borehole shape is presented to predict the volume of sand produced during the drilling and depletion stages of oil and gas reservoirs. A shape factor parameter is introduced to estimate the changes in the geometry of the borehole as a result of shear failure. A carbonate reservoir from the south of Iran with a solid production history is used to show the application of the developed methodology. Deriving mathematical equations for determination of the shape factor based on different failure criteria indicate that the effect of the intermediate principal stress should be taken into account to achieve an accurate result. However, it should be noticed that the methodology presented can only be used when geomechanical parameters are accurately estimated prior to the production stage when using wells and field data.

A Predictive Model of Multi-Stage Production Planning for Fixed Time Orders

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Kozłowski Edward

2014-09-01

Full Text Available The traditional production planning model based upon a deterministic approach is well described in the literature. Due to the uncertain nature of manufacturing processes, such model can however incorrectly represent actual situations on the shop floor. This study develops a mathematical modeling framework for generating production plans in a multistage manufacturing process. The devised model takes into account the stochastic model for predicting the occurrence of faulty products. The aim of the control model is to determine the number of products which should be manufactured in each planning period to minimize both manufacturing costs and potential financial penalties for failing to fulfill the order completely.

The Role of a PMI-Prediction Model in Evaluating Forensic Entomology Experimental Design, the Importance of Covariates, and the Utility of Response Variables for Estimating Time Since Death

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Jeffrey Wells

2017-05-01

Full Text Available The most common forensic entomological application is the estimation of some portion of the time since death, or postmortem interval (PMI. To our knowledge, a PMI estimate is almost never accompanied by an associated probability. Statistical methods are now available for calculating confidence limits for an insect-based prediction of PMI for both succession and development data. In addition to it now being possible to employ these approaches in validation experiments and casework, it is also now possible to use the criterion of prediction performance to guide training experiments, i.e., to modify carrion insect development or succession experiment design in ways likely to improve the performance of PMI predictions using the resulting data. In this paper, we provide examples, derived from our research program on calculating PMI estimate probabilities, of how training data experiment design can influence the performance of a statistical model for PMI prediction.

Immotile Active Matter: Activity from Death and Reproduction

Science.gov (United States)

Kalziqi, Arben; Yanni, David; Thomas, Jacob; Ng, Siu Lung; Vivek, Skanda; Hammer, Brian K.; Yunker, Peter J.

2018-01-01

Unlike equilibrium atomic solids, biofilms—soft solids composed of bacterial cells—do not experience significant thermal fluctuations at the constituent level. However, living cells stochastically reproduce and die, provoking a mechanical response. We investigate the mechanical consequences of cellular death and reproduction by measuring surface-height fluctuations of biofilms containing two mutually antagonistic strains of Vibrio cholerae that kill one another on contact via the type VI secretion system. While studies of active matter typically focus on activity via constituent mobility, here, activity is mediated by reproduction and death events in otherwise immobilized cells. Biofilm surface topography is measured in the nearly homeostatic limit via white light interferometry. Although biofilms are far from equilibrium systems, measured surface-height fluctuation spectra resemble the spectra of thermal permeable membranes but with an activity-mediated effective temperature, as predicted by Risler, Peilloux, and Prost [Phys. Rev. Lett. 115, 258104 (2015), 10.1103/PhysRevLett.115.258104]. By comparing the activity of killer strains of V. cholerae with that of genetically modified strains that cannot kill each other and validating with individual-based simulations, we demonstrate that extracted effective temperatures increase with the amount of death and reproduction and that death and reproduction can fluidize biofilms. Together, these observations demonstrate the unique physical consequences of activity mediated by death and reproduction events.

Programmed Cell Death and Postharvest Deterioration of Horticultural Produce

NARCIS (Netherlands)

Woltering, E.J.; Iakimova, E.T.

2010-01-01

Programmed cell death (PCD) is a process where cells or tissues are broken down in an orderly and predictable manner, whereby nutrients are re-used by other cells, tissues or plant parts. The process of (petal) senescence shows many similarities to autophagic PCD in animal cells including a massive

Pripper: prediction of caspase cleavage sites from whole proteomes

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Salmi Jussi

2010-06-01

Full Text Available Abstract Background Caspases are a family of proteases that have central functions in programmed cell death (apoptosis and inflammation. Caspases mediate their effects through aspartate-specific cleavage of their target proteins, and at present almost 400 caspase substrates are known. There are several methods developed to predict caspase cleavage sites from individual proteins, but currently none of them can be used to predict caspase cleavage sites from multiple proteins or entire proteomes, or to use several classifiers in combination. The possibility to create a database from predicted caspase cleavage products for the whole genome could significantly aid in identifying novel caspase targets from tandem mass spectrometry based proteomic experiments. Results Three different pattern recognition classifiers were developed for predicting caspase cleavage sites from protein sequences. Evaluation of the classifiers with quality measures indicated that all of the three classifiers performed well in predicting caspase cleavage sites, and when combining different classifiers the accuracy increased further. A new tool, Pripper, was developed to utilize the classifiers and predict the caspase cut sites from an arbitrary number of input sequences. A database was constructed with the developed tool, and it was used to identify caspase target proteins from tandem mass spectrometry data from two different proteomic experiments. Both known caspase cleavage products as well as novel cleavage products were identified using the database demonstrating the usefulness of the tool. Pripper is not restricted to predicting only caspase cut sites, but it gives the possibility to scan protein sequences for any given motif(s and predict cut sites once a suitable cut site prediction model for any other protease has been developed. Pripper is freely available and can be downloaded from http://users.utu.fi/mijopi/Pripper. Conclusions We have developed Pripper, a tool for

Deep learning and data assimilation for real-time production prediction in natural gas wells

NARCIS (Netherlands)

Loh, K.K.L.; Shoeibi Omrani, P.S.; Linden, R.J.P. van der

2018-01-01

The prediction of the gas production from mature gas wells, due to their complex end-of-life behavior, is challenging and crucial for operational decision making. In this paper, we apply a modified deep LSTM model for prediction of the gas flow rates in mature gas wells, including the uncertainties

Prediction of Hydrolysis Products of Organic Chemicals under Environmental pH Conditions

Science.gov (United States)

Cheminformatics-based software tools can predict the molecular structure of transformation products using a library of transformation reaction schemes. This paper presents the development of such a library for abiotic hydrolysis of organic chemicals under environmentally relevant...

PREDICTION OF DENGUE FEVER EPIDEMIC SPREADING USING DYNAMICS TRANSMISSION VECTOR MODEL

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Retno Widyaningrum

2014-05-01

Full Text Available Increasing number of dengue cases in Surabaya shows that its city has high potential of dengue fever epidemic. Although some policies were designed by Surabaya Health Department, such as fogging and mosquito’s nest eradication, but these efforts still out of target because of inaccurate predictions. Ineffectiveness eradication of dengue fever epidemic is caused by lack of information and knowledge on environmental conditions in Surabaya. Developing spread and prediction system to minimize dengue fever epidemic is necessary to be conducted immediately. Spread and prediction system can improve eradication and prevention accuracy. The transmission dynamics vector simulation will be used as an approach to draw a complex system ofmosquito life cycle in which involve a lot offactors. Dynamics transmission model used to build model in mosquito model (oviposition rate and pre adult mosquito, infected and death cases in dengue fever. The model of mosquito and infected population can represent system. The output of this research is website of spread and prediction system of dengue fever epidemics to predict growth rate of Aedes Aegypti mosquito, infected, and death population because of dengue fever epidemics. The deviation of infected population is 0,519. The model of death cases in dengue fever is less precision with the deviation 1,229. Death cases model need improvement by adding some variables that influence to dengue fever death cases. Spread ofdengue fever prediction will help the government, health department to decide the best policies in minimizing the spread ofdengue fever epidemics.

Use of a MS-electronic nose for prediction of early fungal spoilage of bakery products.

Science.gov (United States)

Marín, S; Vinaixa, M; Brezmes, J; Llobet, E; Vilanova, X; Correig, X; Ramos, A J; Sanchis, V

2007-02-28

A MS-based electronic nose was used to detect fungal spoilage (measured as ergosterol concentration) in samples of bakery products. Bakery products were inoculated with different Eurotium, Aspergillus and Penicillium species, incubated in sealed vials and their headspace sampled after 2, 4 and 7 days. Once the headspace was sampled, ergosterol content was determined in each sample. Different electronic nose signals were recorded depending on incubation time. Both the e-nose signals and ergosterol levels were used to build models for prediction of ergosterol content using e-nose measurements. Accuracy on prediction of those models was between 87 and 96%, except for samples inoculated with Penicillium corylophilum where the best predictions only reached 46%.

Primary Causes of Death After Permanent Prostate Brachytherapy

International Nuclear Information System (INIS)

Bittner, Nathan; Merrick, Gregory S.; Galbreath, Robert W.; Butler, Wayne M.; Wallner, Kent E.; Allen, Zachariah A.; Brammer, Sarah G.; Moyad, Mark

2008-01-01

Purpose: To evaluate the primary causes of death in low-risk (low-risk), intermediate-risk (intermediate-risk), and high-risk (high-risk) patients undergoing permanent prostate brachytherapy with or without supplemental therapies. Methods and Materials: From April 1995 through November 2004, a total of 1,354 consecutive patients underwent prostate brachytherapy. All patients underwent brachytherapy >3 years before analysis. Of the patients, 532 (39.3%) received androgen deprivation therapy and 703 (51.9%) received supplemental radiation therapy. The median follow-up was 5.4 years. Multiple parameters were evaluated as predictors of cause-specific, biochemical progression-free, and overall survival. Results: The 10-year cause-specific survival was 97.0% (99.7%, 99.0%, and 90.1% for low-risk, intermediate-risk, and high-risk patients). Overall survival was 76.7% (82.5%, 78.3%, and 67.6% for low-, intermediate-, and high-risk patients, respectively). The cumulative death rate for cardiovascular disease was 11.5% (8.7%, 9.3%, and 19.8% for low-, intermediate-, and high-risk patients). The death rate from second malignancies (nonprostate cancer) was 7.2% and was not substantially different when stratified by risk group. Death from all other causes was 6.5% for the entire cohort but 1.3%, 5.0%, and 10.8% for low-, intermediate-, and high-risk patients. In multivariate analysis, death from prostate cancer was best predicted by Gleason score and risk group, whereas death from cardiovascular disease, nonprostate cancer, and all other causes were most closely related to patient age and tobacco use. Conclusions: Although cardiovascular mortality was the predominant cause of death, prostate cancer was responsible for approximately 10% of all deaths. In particular, overall survival was poorest in the high-risk group. Although high-risk patients were most likely to die of prostate cancer, the divergence in overall survival between high-risk and lower-risk patients primarily

Childhood obesity, other cardiovascular risk factors, and premature death.

Science.gov (United States)

Franks, Paul W; Hanson, Robert L; Knowler, William C; Sievers, Maurice L; Bennett, Peter H; Looker, Helen C

2010-02-11

The effect of childhood risk factors for cardiovascular disease on adult mortality is poorly understood. In a cohort of 4857 American Indian children without diabetes (mean age, 11.3 years; 12,659 examinations) who were born between 1945 and 1984, we assessed whether body-mass index (BMI), glucose tolerance, and blood pressure and cholesterol levels predicted premature death. Risk factors were standardized according to sex and age. Proportional-hazards models were used to assess whether each risk factor was associated with time to death occurring before 55 years of age. Models were adjusted for baseline age, sex, birth cohort, and Pima or Tohono O'odham Indian heritage. There were 166 deaths from endogenous causes (3.4% of the cohort) during a median follow-up period of 23.9 years. Rates of death from endogenous causes among children in the highest quartile of BMI were more than double those among children in the lowest BMI quartile (incidence-rate ratio, 2.30; 95% confidence interval [CI], 1.46 to 3.62). Rates of death from endogenous causes among children in the highest quartile of glucose intolerance were 73% higher than those among children in the lowest quartile (incidence-rate ratio, 1.73; 95% CI, 1.09 to 2.74). No significant associations were seen between rates of death from endogenous or external causes and childhood cholesterol levels or systolic or diastolic blood-pressure levels on a continuous scale, although childhood hypertension was significantly associated with premature death from endogenous causes (incidence-rate ratio, 1.57; 95% CI, 1.10 to 2.24). Obesity, glucose intolerance, and hypertension in childhood were strongly associated with increased rates of premature death from endogenous causes in this population. In contrast, childhood hypercholesterolemia was not a major predictor of premature death from endogenous causes. 2010 Massachusetts Medical Society

Exploring children's understanding of death: through drawings and the Death Concept Questionnaire.

Science.gov (United States)

Bonoti, Fotini; Leondari, Angeliki; Mastora, Adelais

2013-01-01

To investigate whether children's understanding of the concept of death varies as a function of death experience and age, 52 children aged 7, 9, and 11 years (26 had a personal death experience), drew a picture reflecting the meaning of the word death and completed the Death Concept Questionnaire for examination of Human and Animal Death. The results showed that the 2 methodological tools used offered complementary information and that children's understanding of death is related both to age and past experience. Children with death experience seem to have a more realistic understanding of death than their inexperienced age-mates. As regards to the effect of age, our findings support the assumption that the different components of death develop through different processes.

Evolving chemometric models for predicting dynamic process parameters in viscose production

Energy Technology Data Exchange (ETDEWEB)

Cernuda, Carlos [Department of Knowledge-Based Mathematical Systems, Johannes Kepler University Linz (Austria); Lughofer, Edwin, E-mail: edwin.lughofer@jku.at [Department of Knowledge-Based Mathematical Systems, Johannes Kepler University Linz (Austria); Suppan, Lisbeth [Kompetenzzentrum Holz GmbH, St. Peter-Str. 25, 4021 Linz (Austria); Roeder, Thomas; Schmuck, Roman [Lenzing AG, 4860 Lenzing (Austria); Hintenaus, Peter [Software Research Center, Paris Lodron University Salzburg (Austria); Maerzinger, Wolfgang [i-RED Infrarot Systeme GmbH, Linz (Austria); Kasberger, Juergen [Recendt GmbH, Linz (Austria)

2012-05-06

Highlights: Black-Right-Pointing-Pointer Quality assurance of process parameters in viscose production. Black-Right-Pointing-Pointer Automatic prediction of spin-bath concentrations based on FTNIR spectra. Black-Right-Pointing-Pointer Evolving chemometric models for efficiently handling changing system dynamics over time (no time-intensive re-calibration needed). Black-Right-Pointing-Pointer Significant reduction of huge errors produced by statistical state-of-the-art calibration methods. Black-Right-Pointing-Pointer Sufficient flexibility achieved by gradual forgetting mechanisms. - Abstract: In viscose production, it is important to monitor three process parameters in order to assure a high quality of the final product: the concentrations of H{sub 2}SO{sub 4}, Na{sub 2}SO{sub 4} and Z{sub n}SO{sub 4}. During on-line production these process parameters usually show a quite high dynamics depending on the fiber type that is produced. Thus, conventional chemometric models, which are trained based on collected calibration spectra from Fourier transform near infrared (FT-NIR) measurements and kept fixed during the whole life-time of the on-line process, show a quite imprecise and unreliable behavior when predicting the concentrations of new on-line data. In this paper, we are demonstrating evolving chemometric models which are able to adapt automatically to varying process dynamics by updating their inner structures and parameters in a single-pass incremental manner. These models exploit the Takagi-Sugeno fuzzy model architecture, being able to model flexibly different degrees of non-linearities implicitly contained in the mapping between near infrared spectra (NIR) and reference values. Updating the inner structures is achieved by moving the position of already existing local regions and by evolving (increasing non-linearity) or merging (decreasing non-linearity) new local linear predictors on demand, which are guided by distance-based and similarity criteria. Gradual

Effect of calf death loss on cloned cattle herd derived from somatic cell nuclear transfer: clones with congenital defects would be removed by the death loss.

Science.gov (United States)

Watanabe, Shinya

2013-09-01

To increase public understanding on cloned cattle derived from somatic cell nuclear transfer (SCNT), the present review describes the effect of calf death loss on an SCNT cattle herd. The incidence of death loss in SCNT cattle surviving more than 200 days reached the same level as that in conventionally bred cattle. This process could be considered as removal of SCNT cattle with congenital defects caused by calf death loss. As a result of comparative studies of SCNT cattle and conventionally bred cattle, the substantial equivalences in animal health status, milk and meat productive performance have been confirmed. Both sexes of SCNT cattle surviving to adulthood were fertile and their reproductive performance, including efficiency of progeny production, was the same as that in conventionally bred cattle. The presence of substantial equivalence between their progeny and conventionally bred cattle also existed. Despite these scientific findings, the commercial use of food products derived from SCNT cattle and their progeny has not been allowed by governments for reasons including the lack of public acceptance of these products and the low efficiency of animal SCNT. To overcome this situation, communication of the low risk of SCNT technology and research to improve SCNT efficiency are required. © 2013 Japanese Society of Animal Science.

Fungicidal Drugs Induce a Common Oxidative-Damage Cellular Death Pathway

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Peter Belenky

2013-02-01

Full Text Available Amphotericin, miconazole, and ciclopirox are antifungal agents from three different drug classes that can effectively kill planktonic yeast, yet their complete fungicidal mechanisms are not fully understood. Here, we employ a systems biology approach to identify a common oxidative-damage cellular death pathway triggered by these representative fungicides in Candida albicans and Saccharomyces cerevisiae. This mechanism utilizes a signaling cascade involving the GTPases Ras1 and Ras2 and protein kinase A, and it culminates in death through the production of toxic reactive oxygen species in a tricarboxylic-acid-cycle- and respiratory-chain-dependent manner. We also show that the metabolome of C. albicans is altered by antifungal drug treatment, exhibiting a shift from fermentation to respiration, a jump in the AMP/ATP ratio, and elevated production of sugars; this coincides with elevated mitochondrial activity. Lastly, we demonstrate that DNA damage plays a critical role in antifungal-induced cellular death and that blocking DNA-repair mechanisms potentiates fungicidal activity.

Monte Carlo simulation techniques for predicting annual power production

International Nuclear Information System (INIS)

Cross, J.P.; Bulandr, P.J.

1991-01-01

As the owner and operator of a number of small to mid-sized hydroelectric sites, STS HydroPower has been faced with the need to accurately predict anticipated hydroelectric revenues over a period of years. The typical approach to this problem has been to look at each site from a mathematical deterministic perspective and evaluate the annual production from historic streamflows. Average annual production is simply taken to be the area under the flow duration curve defined by the operating and design characteristics of the selected turbines. Minimum annual production is taken to be a historic dry year scenario and maximum production is viewed as power generated under the most ideal of conditions. Such an approach creates two problems. First, in viewing the characteristics of a single site, it does not take into account the probability of such an event occurring. Second, in viewing all sites in a single organization's portfolio together, it does not reflect the varying flow conditions at the different sites. This paper attempts to address the first of these two concerns, that being the creation of a simulation model utilizing the Monte Carlo method at a single site. The result of the analysis is a picture of the production at the site that is both a better representation of anticipated conditions and defined probabilistically

Redefining Death

Institute of Scientific and Technical Information of China (English)

2009-01-01

The results of 20 years of research on brain death will be released to the public, the Chinese Ministry of Health reported in early April. A special ministry team has drafted the criteria for brain death in Criteria for the Diagnosis of Brain Death in Adults (Revised Edition) and Technical Specifications for the Diagnosis

Public reaction to the death of Steve Jobs: implications for cancer communication.

Science.gov (United States)

Myrick, Jessica Gall; Noar, Seth M; Willoughby, Jessica Fitts; Brown, Jennifer

2014-01-01

The present study aimed to examine the public reaction to the death of Steve Jobs, focusing on general and cancer-specific information seeking and interpersonal communication. Shortly after Jobs's death, employees from a large university in the Southeastern United States (N = 1,398) completed a web-based survey. Every employee had heard about Steve Jobs's death, and 97% correctly identified pancreatic cancer as the cause of his death. General (50%) and pancreatic cancer-specific (7%) information seeking, as well as general (74%) and pancreatic cancer-specific (17%) interpersonal communication, took place in response to Steve Jobs's death. In multivariate logistic regression analyses controlling for demographics and several cancer-oriented variables, both identification with Steve Jobs and cancer worry in response to Steve Jobs's death significantly (p < .05) predicted pancreatic cancer information seeking as well as interpersonal communication about pancreatic cancer. Additional analyses revealed that cancer worry partially mediated the effects of identification on these outcome variables. Implications of these results for future research as well as cancer prevention and communication efforts are discussed.

Comparison of fission product release predictions using PARFUME with results from the AGR-1 irradiation experiment

International Nuclear Information System (INIS)

Collin, Blaise P.; Petti, David A.; Demkowicz, Paul A.; Maki, John T.

2014-01-01

The PARFUME (PARticle FUel ModEl) code was used to predict fission product release from tristructural isotropic (TRISO) coated fuel particles and compacts during the first irradiation experiment (AGR-1) of the Advanced Gas Reactor Fuel Development and Qualification program. The PARFUME model for the AGR-1 experiment used the fuel compact volume average temperature for each of the 620 days of irradiation to calculate the release of fission products silver, cesium, and strontium from a representative particle for a select number of AGR-1 compacts. Post-irradiation examination (PIE) measurements provided data on release of fission products from fuel compacts and fuel particles, and retention of fission products in the compacts outside of the silicon carbide (SiC) layer. PARFUME-predicted fractional release of these fission products was determined and compared to the PIE measurements. Results show an overall over-prediction of the fractional release of cesium by PARFUME. For particles with failed SiC layers, the over-prediction is by a factor of about two, corresponding to an over-estimation of the diffusivity in uranium oxycarbide (UCO) by a factor of about 100. For intact particles, whose release is much lower, the over-prediction is by an average of about an order of magnitude, which could additionally be attributed to an over-estimated diffusivity in SiC by about 30%. The release of strontium from intact particles is also over-estimated by PARFUME, which also points towards an over-estimated diffusivity of strontium in either SiC or UCO, or possibly both. The measured strontium fractional release from intact particles varied considerably from compact to compact, making it difficult to assess the effective over-estimation of the diffusivities. Furthermore, the release of strontium from particles with failed SiC is difficult to observe experimentally due to the release from intact particles, preventing any conclusions to be made on the accuracy or validity of the

[Ill-defined causes of death and unattended deaths, Brazil, 2003].

Science.gov (United States)

Santo, Augusto Hasiak

2008-01-01

We studied the distribution of deaths from ill-defined causes that occurred in Brazil during 2003, from which was identified the proportion of unattended deaths. Data were obtained from the Mortality Information System, coordinated by the Ministry of Health. Causes of death included in "Chapter XVIII - Symptoms, signs and abnormal clinical and laboratory findings, not classified elsewhere" of the International Statistical Classification of Diseases and Related Health Problems, tenth revision, were considered ill-defined, among which the category R98 identified "unattended deaths". In Brazil during 2003 the underlying causes of 13.3% of deaths were included in the Chapter of ill-defined causes, and the highest proportions of these deaths occurred in the Northeast and North Regions. Considering the total deaths from ill-defined causes, 53 % correspond to unattended deaths. This proportion increased to over 70% in the states of Maranhão, Piauí, Rio Grande do Norte, Pernambuco, Bahia, Paraíba and Alagoas. Due to the decentralized structure of data collection in the country, we believe that the municipalities bear the major responsibility, followed by the states, for upgrading the quality of mortality statistics.

Comparison of updates to the Molly cow model to predict methane production from dairy cows fed pasture.

Science.gov (United States)

Gregorini, P; Beukes, P C; Hanigan, M D; Waghorn, G; Muetzel, S; McNamara, J P

2013-08-01

Molly is a deterministic, mechanistic, dynamic model representing the digestion, metabolism, and production of a dairy cow. This study compared the predictions of enteric methane production from the original version of Molly (MollyOrigin) and 2 new versions of Molly. Updated versions included new ruminal fiber digestive parameters and animal hormonal parameters (Molly84) and a revised version of digestive and ruminal parameters (Molly85), using 3 different ruminal volatile fatty acid (VFA) stoichiometry constructs to describe the VFA pattern and methane (CH4) production (g of CH4/d). The VFA stoichiometry constructs were the original forage and mixed-diet VFA constructs and a new VFA stoichiometry based on a more recent and larger set of data that includes lactate and valerate production, amylolytic and cellulolytic bacteria, as well as protozoal pools. The models' outputs were challenged using data from 16 dairy cattle 26 mo old [standard error of the mean (SEM)=1.7], 82 (SEM=8.7) d in milk, producing 17 (SEM=0.2) kg of milk/d, and fed fresh-cut ryegrass [dry matter intake=12.3 (SEM=0.3) kg of DM/d] in respiration chambers. Mean observed CH4 production was 266±5.6 SEM (g/d). Mean predicted values for CH4 production were 287 and 258 g/d for MollyOrigin without and with the new VFA construct. Model Molly84 predicted 295 and 288 g of CH4/d with and without the new VFA settings. Model Molly85 predicted the same CH4 production (276 g/d) with or without the new VFA construct. The incorporation of the new VFA construct did not consistently reduce the low prediction error across the versions of Molly evaluated in the present study. The improvements in the Molly versions from MollyOrigin to Molly84 to Molly85 resulted in a decrease in mean square prediction error from 8.6 to 8.3 to 4.3% using the forage diet setting. The majority of the mean square prediction error was apportioned to random bias (e.g., 43, 65, and 70% in MollyOrigin, Molly84, and Molly85, respectively, on

The place of death of patients with cancer in Kuwait.

Science.gov (United States)

Alshemmari, Salem H; Elbasmi, Amani A; Alsirafy, Samy A

2015-12-01

The place of death (PoD) has a significant effect on end-of-life care for patients dying of cancer. Little is known about the place of cancer deaths in our region. To identify the PoD of patients with cancer in Kuwait, we reviewed the death certificates submitted to the Kuwait Cancer Registry in 2009. Of 611 cancer deaths, 603 (98.7%) died in hospitals and only 6 (1%) patients died at home. More than half (57.3%) of inhospital deaths were in the Kuwait Cancer Control Center. Among those for whom the exact PoD within the hospital was identified (484 patients), 116 (24%) patients died in intensive care units and 12 (2.5%) patients died in emergency rooms. This almost exclusive inhospital death of patients with cancer in Kuwait is the highest ever reported. Research is needed to identify the reasons behind this pattern of PoD and to explore interventions promoting out-of-hospital death among terminally ill cancer patients in Kuwait. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/

Vitamin D and Death by Sunshine

Directory of Open Access Journals (Sweden)

Rebecca S. Mason

2013-01-01

Full Text Available Exposure to sunlight is the major cause of skin cancer. Ultraviolet radiation (UV from the sun causes damage to DNA by direct absorption and can cause skin cell death. UV also causes production of reactive oxygen species that may interact with DNA to indirectly cause oxidative DNA damage. UV increases accumulation of p53 in skin cells, which upregulates repair genes but promotes death of irreparably damaged cells. A benefit of sunlight is vitamin D, which is formed following exposure of 7-dehydrocholesterol in skin cells to UV. The relatively inert vitamin D is metabolized to various biologically active compounds, including 1,25-dihydroxyvitamin D3. Therapeutic use of vitamin D compounds has proven beneficial in several cancer types, but more recently these compounds have been shown to prevent UV-induced cell death and DNA damage in human skin cells. Here, we discuss the effects of vitamin D compounds in skin cells that have been exposed to UV. Specifically, we examine the various signaling pathways involved in the vitamin D-induced protection of skin cells from UV.

A whiff of death: fatal volatile solvent inhalation abuse.

Science.gov (United States)

Steffee, C H; Davis, G J; Nicol, K K

1996-09-01

Inhalation abuse of volatile solvents, previously known generically as "glue sniffing," is typically pursued by adolescents. A wide range of legal, easily obtained products containing volatile substances are available for abuse. We report two illustrative cases of fatal volatile substance abuse: gasoline sniffing in a 20-year-old man and aerosol propellant gas inhalation (aerosol air freshener) in a 16-year-old girl with underlying reactive airway disease. Although the ratio of deaths to nonfatal inhalation escapades is extremely low, volatile solvent abuse carries the risk of sudden death due to cardiac arrest after a dysrhythmia or vasovagal event, central nervous system respiratory depression, hypoxia and hypercapnia due to the techniques of inhalation, and other mechanisms. Investigation of the patient's substance abuse history, examination of the scene of death, and special toxicologic analyses are critical to identifying volatile substance inhalation abuse as the cause of death because anatomic autopsy findings will typically be nonspecific. Above all, physicians must suspect the diagnosis of volatile substance inhalation abuse, especially in any case of sudden death involving an otherwise healthy young person.

A model to predict progression in brain-injured patients.

Science.gov (United States)

Tommasino, N; Forteza, D; Godino, M; Mizraji, R; Alvarez, I

2014-11-01

The study of brain death (BD) epidemiology and the acute brain injury (ABI) progression profile is important to improve public health programs, organ procurement strategies, and intensive care unit (ICU) protocols. The purpose of this study was to analyze the ABI progression profile among patients admitted to ICUs with a Glasgow Coma Score (GCS) ≤8, as well as establishing a prediction model of probability of death and BD. This was a retrospective analysis of prospective data that included all brain-injured patients with GCS ≤8 admitted to a total of four public and private ICUs in Uruguay (N = 1447). The independent predictor factors of death and BD were studied using logistic regression analysis. A hierarchical model consisting of 2 nested logit regression models was then created. With these models, the probabilities of death, BD, and death by cardiorespiratory arrest were analyzed. In the first regression, we observed that as the GCS decreased and age increased, the probability of death rose. Each additional year of age increased the probability of death by 0.014. In the second model, however, BD risk decreased with each year of age. The presence of swelling, mass effect, and/or space-occupying lesion increased BD risk for the same given GCS. In the presence of injuries compatible with intracranial hypertension, age behaved as a protective factor that reduced the probability of BD. Based on the analysis of the local epidemiology, a model to predict the probability of death and BD can be developed. The organ potential donation of a country, region, or hospital can be predicted on the basis of this model, customizing it to each specific situation.

Consensus Modeling for Prediction of Estrogenic Activity of Ingredients Commonly Used in Sunscreen Products

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Huixiao Hong

2016-09-01

Full Text Available Sunscreen products are predominantly regulated as over-the-counter (OTC drugs by the US FDA. The “active” ingredients function as ultraviolet filters. Once a sunscreen product is generally recognized as safe and effective (GRASE via an OTC drug review process, new formulations using these ingredients do not require FDA review and approval, however, the majority of ingredients have never been tested to uncover any potential endocrine activity and their ability to interact with the estrogen receptor (ER is unknown, despite the fact that this is a very extensively studied target related to endocrine activity. Consequently, we have developed an in silico model to prioritize single ingredient estrogen receptor activity for use when actual animal data are inadequate, equivocal, or absent. It relies on consensus modeling to qualitatively and quantitatively predict ER binding activity. As proof of concept, the model was applied to ingredients commonly used in sunscreen products worldwide and a few reference chemicals. Of the 32 chemicals with unknown ER binding activity that were evaluated, seven were predicted to be active estrogenic compounds. Five of the seven were confirmed by the published data. Further experimental data is needed to confirm the other two predictions.

A prediction model to forecast the cost impact from a break in the production schedule

Science.gov (United States)

Delionback, L. M.

1977-01-01

The losses which are experienced after a break or stoppage in sequence of a production cycle portends an extremely complex situation and involves numerous variables, some of uncertain quantity and quality. There are no discrete formulas to define the losses during a gap in production. The techniques which are employed are therefore related to a prediction or forecast of the losses that take place, based on the conditions which exist in the production environment. Such parameters as learning curve slope, number of predecessor units, and length of time the production sequence is halted are utilized in formulating a prediction model. The pertinent current publications related to this subject are few in number, but are reviewed to provide an understanding of the problem. Example problems are illustrated together with appropriate trend curves to show the approach. Solved problems are also given to show the application of the models to actual cases or production breaks in the real world.

Metabotypes with properly functioning mitochondria and anti-inflammation predict extended productive life span in dairy cows

Science.gov (United States)

Huber, K.; Dänicke, S.; Rehage, J.; Sauerwein, H.; Otto, W.; Rolle-Kampczyk, U.; von Bergen, M.

2016-01-01

The failure to adapt metabolism to the homeorhetic demands of lactation is considered as a main factor in reducing the productive life span of dairy cows. The so far defined markers of production performance and metabolic health in dairy cows do not predict the length of productive life span satisfyingly. This study aimed to identify novel pathways and biomarkers related to productive life in dairy cows by means of (targeted) metabolomics. In a longitudinal study from 42 days before up to 100 days after parturition, we identified metabolites such as long-chain acylcarnitines and biogenic amines associated with extended productive life spans. These metabolites are mainly secreted by the liver and depend on the functionality of hepatic mitochondria. The concentrations of biogenic amines and some acylcarnitines differed already before the onset of lactation thus indicating their predictive potential for continuation or early ending of productive life. PMID:27089826

GSK-3β Inhibition Attenuates LPS-Induced Death but Aggravates Radiation-Induced Death via Down-Regulation of IL-6

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Bailong Li

2013-12-01

Full Text Available Background: Exposure of high dose ionizing radiation is lethal. Signal pathways involved in radiation biology reaction still remain illdefined. Lipopolysaccharides (LPS, the ligands of Toll-like receptor 4(TLR4, could elicit strong immune responses. Glycogen synthase kinase-3β(GSK-3β promotes the production of inflammatory molecules and cell migration. Inhibition of GSK-3β provides protection against inflammation in animal models. The aim of the study was to investigate role of GSK-3β in LPS shock and ionizing radiation. Methods: WT or IL-6-/-mice or cells were pretreated with SB216763, a GSK-3β inhibitor, and survival of the mice was determined. Cell viability was assayed by Cell Counting Kit. Apoptosis was assayed by Annexin V-PI double staining. Serum concentrations of IL-6 and TNF-α were determined by ELISA. Results: SB216763 attenuated LPS induced mice or cell death but aggravated radiation induced mice or cell death. SB216763 reduced IL-6, but not TNF-α levels in vivo. IL-6-/- mice were more resistant to LPS-induced death but less resistant to radiation-induced death than wild type mice. Conclusions: Inhibition of GSK-3β conferred resistance to LPS shock but fostered death induced by ionizing radiation. Inhibition of GSK-3β was effective by reducing IL-6.

Single-Event Transgene Product Levels Predict Levels in Genetically Modified Breeding Stacks.

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Gampala, Satyalinga Srinivas; Fast, Brandon J; Richey, Kimberly A; Gao, Zhifang; Hill, Ryan; Wulfkuhle, Bryant; Shan, Guomin; Bradfisch, Greg A; Herman, Rod A

2017-09-13

The concentration of transgene products (proteins and double-stranded RNA) in genetically modified (GM) crop tissues is measured to support food, feed, and environmental risk assessments. Measurement of transgene product concentrations in breeding stacks of previously assessed and approved GM events is required by many regulatory authorities to evaluate unexpected transgene interactions that might affect expression. Research was conducted to determine how well concentrations of transgene products in single GM events predict levels in breeding stacks composed of these events. The concentrations of transgene products were compared between GM maize, soybean, and cotton breeding stacks (MON-87427 × MON-89034 × DAS-Ø15Ø7-1 × MON-87411 × DAS-59122-7 × DAS-40278-9 corn, DAS-81419-2 × DAS-44406-6 soybean, and DAS-21023-5 × DAS-24236-5 × SYN-IR102-7 × MON-88913-8 × DAS-81910-7 cotton) and their component single events (MON-87427, MON-89034, DAS-Ø15Ø7-1, MON-87411, DAS-59122-7, and DAS-40278-9 corn, DAS-81419-2, and DAS-44406-6 soybean, and DAS-21023-5, DAS-24236-5, SYN-IR102-7, MON-88913-8, and DAS-81910-7 cotton). Comparisons were made within a crop and transgene product across plant tissue types and were also made across transgene products in each breeding stack for grain/seed. Scatter plots were generated comparing expression in the stacks to their component events, and the percent of variability accounted for by the line of identity (y = x) was calculated (coefficient of identity, I 2 ). Results support transgene concentrations in single events predicting similar concentrations in breeding stacks containing the single events. Therefore, food, feed, and environmental risk assessments based on concentrations of transgene products in single GM events are generally applicable to breeding stacks composed of these events.

Religiosity and the Construction of Death in Turkish Death Announcements, 1970-2009

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Ergin, Murat

2012-01-01

Death and rituals performed after death reflect and reproduce social distinctions despite death's popular reputation as a great leveler. This study examines expressions of religiosity and constructions of death in Turkish death announcements, paying particular attention to gendered, ethnic, and temporal variations as well as markers of status and…

On social death: ostracism and the accessibility of death thoughts.

Science.gov (United States)

Steele, Caroline; Kidd, David C; Castano, Emanuele

2015-01-01

Being rejected, excluded, or simply ignored is a painful experience. Ostracism researchers have shown its powerful negative consequences (Williams, 2007), and sociologists have referred to such experiences as social death (Bauman, 1992). Is this is just a metaphor or does being ostracized make death more salient in people's minds? An experiment was conducted in which participants experienced ostracism or inclusion using the Cyberball manipulation, and the accessibility of death-related thoughts was measured via a word-stem completion puzzle. Results showed enhanced death-thought accessibility in the ostracism condition, as well as a negative effect of dispositional self-esteem on the accessibility of death-related thoughts.

Zinc release contributes to hypoglycemia-induced neuronal death.

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Suh, Sang Won; Garnier, Philippe; Aoyama, Koji; Chen, Yongmei; Swanson, Raymond A

2004-08-01

Neurons exposed to zinc exhibit activation of poly(ADP-ribose) polymerase-1 (PARP-1), an enzyme that normally participates in DNA repair but promotes cell death when extensively activated. Endogenous, vesicular zinc in brain is released to the extracellular space under conditions causing neuronal depolarization. Here, we used a rat model of insulin-induced hypoglycemia to assess the role of zinc release in PARP-1 activation and neuronal death after severe hypoglycemia. Zinc staining with N-(6-methoxy-8-quinolyl)-para-toluenesulfonamide (TSQ) showed depletion of presynaptic vesicular zinc from hippocampal mossy fiber terminals and accumulation of weakly bound zinc in hippocampal CA1 cell bodies after severe hypoglycemia. Intracerebroventricular injection of the zinc chelator calcium ethylene-diamine tetraacetic acid (CaEDTA) blocked the zinc accumulation and significantly reduced hypoglycemia-induced neuronal death. CaEDTA also attenuated the accumulation of poly(ADP-ribose), the enzymatic product of PARP-1, in hippocampal neurons. These results suggest that zinc translocation is an intermediary step linking hypoglycemia to PARP-1 activation and neuronal death.

Utilizing artificial neural networks to predict demand for weather-sensitive products at retail stores

OpenAIRE

Taghizadeh, Elham

2017-01-01

One key requirement for effective supply chain management is the quality of its inventory management. Various inventory management methods are typically employed for different types of products based on their demand patterns, product attributes, and supply network. In this paper, our goal is to develop robust demand prediction methods for weather sensitive products at retail stores. We employ historical datasets from Walmart, whose customers and markets are often exposed to extreme weather ev...

Prediction of small hydropower plant power production in Himreen Lake dam (HLD using artificial neural network

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Ali Thaeer Hammid

2018-03-01

Full Text Available In developing countries, the power production is properly less than the request of power or load, and sustaining a system stability of power production is a trouble quietly. Sometimes, there is a necessary development to the correct quantity of load demand to retain a system of power production steadily. Thus, Small Hydropower Plant (SHP includes a Kaplan turbine was verified to explore its applicability. This paper concentrates on applying on Artificial Neural Networks (ANNs by approaching of Feed-Forward, Back-Propagation to make performance predictions of the hydropower plant at the Himreen lake dam-Diyala in terms of net turbine head, flow rate of water and power production that data gathered during a research over a 10 year period. The model studies the uncertainties of inputs and output operation and there's a designing to network structure and then trained by means of the entire of 3570 experimental and observed data. Furthermore, ANN offers an analyzing and diagnosing instrument effectively to model performance of the nonlinear plant. The study suggests that the ANN may predict the performance of the plant with a correlation coefficient (R between the variables of predicted and observed output that would be higher than 0.96. Keywords: Himreen Lake Dam, Small Hydropower plants, Artificial Neural Networks, Feed forward-back propagation model, Generation system's prediction

Risk factors for death in patients with severe asthma

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Andréia Guedes Oliva Fernandes

2014-08-01

Full Text Available OBJECTIVE: To identify risk factors for death among patients with severe asthma. METHODS: This was a nested case-control study. Among the patients with severe asthma treated between December of 2002 and December of 2010 at the Central Referral Outpatient Clinic of the Bahia State Asthma Control Program, in the city of Salvador, Brazil, we selected all those who died, as well as selecting other patients with severe asthma to be used as controls (at a ratio of 1:4. Data were collected from the medical charts of the patients, home visit reports, and death certificates. RESULTS: We selected 58 cases of deaths and 232 control cases. Most of the deaths were attributed to respiratory causes and occurred within a health care facility. Advanced age, unemployment, rhinitis, symptoms of gastroesophageal reflux disease, long-standing asthma, and persistent airflow obstruction were common features in both groups. Multivariate analysis showed that male gender, FEV1 pre-bronchodilator < 60% of predicted, and the lack of control of asthma symptoms were significantly and independently associated with mortality in this sample of patients with severe asthma. CONCLUSIONS: In this cohort of outpatients with severe asthma, the deaths occurred predominantly due to respiratory causes and within a health care facility. Lack of asthma control and male gender were risk factors for mortality.

Validity of verbal autopsy method to determine causes of death among adults in the urban setting of Ethiopia

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Misganaw Awoke

2012-08-01

Full Text Available Abstract Background Verbal autopsy has been widely used to estimate causes of death in settings with inadequate vital registries, but little is known about its validity. This analysis was part of Addis Ababa Mortality Surveillance Program to examine the validity of verbal autopsy for determining causes of death compared with hospital medical records among adults in the urban setting of Ethiopia. Methods This validation study consisted of comparison of verbal autopsy final diagnosis with hospital diagnosis taken as a “gold standard”. In public and private hospitals of Addis Ababa, 20,152 adult deaths (15 years and above were recorded between 2007 and 2010. With the same period, a verbal autopsy was conducted for 4,776 adult deaths of which, 1,356 were deceased in any of Addis Ababa hospitals. Then, verbal autopsy and hospital data sets were merged using the variables; full name of the deceased, sex, address, age, place and date of death. We calculated sensitivity, specificity and positive predictive values with 95% confidence interval. Results After merging, a total of 335 adult deaths were captured. For communicable diseases, the values of sensitivity, specificity and positive predictive values of verbal autopsy diagnosis were 79%, 78% and 68% respectively. For non-communicable diseases, sensitivity of the verbal autopsy diagnoses was 69%, specificity 78% and positive predictive value 79%. Regarding injury, sensitivity of the verbal autopsy diagnoses was 70%, specificity 98% and positive predictive value 83%. Higher sensitivity was achieved for HIV/AIDS and tuberculosis, but lower specificity with relatively more false positives. Conclusion These findings may indicate the potential of verbal autopsy to provide cost-effective information to guide policy on communicable and non communicable diseases double burden among adults in Ethiopia. Thus, a well structured verbal autopsy method, followed by qualified physician reviews could be capable of

Validity of verbal autopsy method to determine causes of death among adults in the urban setting of Ethiopia

Science.gov (United States)

2012-01-01

Background Verbal autopsy has been widely used to estimate causes of death in settings with inadequate vital registries, but little is known about its validity. This analysis was part of Addis Ababa Mortality Surveillance Program to examine the validity of verbal autopsy for determining causes of death compared with hospital medical records among adults in the urban setting of Ethiopia. Methods This validation study consisted of comparison of verbal autopsy final diagnosis with hospital diagnosis taken as a “gold standard”. In public and private hospitals of Addis Ababa, 20,152 adult deaths (15 years and above) were recorded between 2007 and 2010. With the same period, a verbal autopsy was conducted for 4,776 adult deaths of which, 1,356 were deceased in any of Addis Ababa hospitals. Then, verbal autopsy and hospital data sets were merged using the variables; full name of the deceased, sex, address, age, place and date of death. We calculated sensitivity, specificity and positive predictive values with 95% confidence interval. Results After merging, a total of 335 adult deaths were captured. For communicable diseases, the values of sensitivity, specificity and positive predictive values of verbal autopsy diagnosis were 79%, 78% and 68% respectively. For non-communicable diseases, sensitivity of the verbal autopsy diagnoses was 69%, specificity 78% and positive predictive value 79%. Regarding injury, sensitivity of the verbal autopsy diagnoses was 70%, specificity 98% and positive predictive value 83%. Higher sensitivity was achieved for HIV/AIDS and tuberculosis, but lower specificity with relatively more false positives. Conclusion These findings may indicate the potential of verbal autopsy to provide cost-effective information to guide policy on communicable and non communicable diseases double burden among adults in Ethiopia. Thus, a well structured verbal autopsy method, followed by qualified physician reviews could be capable of providing reasonable cause

A "Wear and Tear" Hypothesis to Explain Sudden Infant Death Syndrome.

Science.gov (United States)

Elhaik, Eran

2016-01-01

Sudden infant death syndrome (SIDS) is the leading cause of death among USA infants under 1 year of age accounting for ~2,700 deaths per year. Although formally SIDS dates back at least 2,000 years and was even mentioned in the Hebrew Bible (Kings 3:19), its etiology remains unexplained prompting the CDC to initiate a sudden unexpected infant death case registry in 2010. Due to their total dependence, the ability of the infant to allostatically regulate stressors and stress responses shaped by genetic and environmental factors is severely constrained. We propose that SIDS is the result of cumulative painful, stressful, or traumatic exposures that begin in utero and tax neonatal regulatory systems incompatible with allostasis. We also identify several putative biochemical mechanisms involved in SIDS. We argue that the important characteristics of SIDS, namely male predominance (60:40), the significantly different SIDS rate among USA Hispanics (80% lower) compared to whites, 50% of cases occurring between 7.6 and 17.6 weeks after birth with only 10% after 24.7 weeks, and seasonal variation with most cases occurring during winter, are all associated with common environmental stressors, such as neonatal circumcision and seasonal illnesses. We predict that neonatal circumcision is associated with hypersensitivity to pain and decreased heart rate variability, which increase the risk for SIDS. We also predict that neonatal male circumcision will account for the SIDS gender bias and that groups that practice high male circumcision rates, such as USA whites, will have higher SIDS rates compared to groups with lower circumcision rates. SIDS rates will also be higher in USA states where Medicaid covers circumcision and lower among people that do not practice neonatal circumcision and/or cannot afford to pay for circumcision. We last predict that winter-born premature infants who are circumcised will be at higher risk of SIDS compared to infants who experienced fewer

A new method in predicting productivity of multi-stage fractured horizontal well in tight gas reservoirs

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Yunsheng Wei

2016-10-01

Full Text Available The generally accomplished technique for horizontal wells in tight gas reservoirs is by multi-stage hydraulic fracturing, not to mention, the flow characteristics of a horizontal well with multiple transverse fractures are very intricate. Conventional methods, well as an evaluation unit, are difficult to accurately predict production capacity of each fracture and productivity differences between wells with a different number of fractures. Thus, a single fracture sets the minimum evaluation unit, matrix, fractures, and lateral wellbore model that are then combined integrally to approximate horizontal well with multiple transverse hydraulic fractures in tight gas reservoirs. This paper presents a new semi-analytical methodology for predicting the production capacity of a horizontal well with multiple transverse hydraulic fractures in tight gas reservoirs. Firstly, a mathematical flow model used as a medium, which is disturbed by finite conductivity vertical fractures and rectangular shaped boundaries, is established and explained by the Fourier integral transform. Then the idea of a single stage fracture analysis is incorporated to establish linear flow model within a single fracture with a variable rate. The Fredholm integral numerical solution is applicable for the fracture conductivity function. Finally, the pipe flow model along the lateral wellbore is adapted to couple multi-stages fracture mathematical models, and the equation group of predicting productivity of a multi-stage fractured horizontal well. The whole flow process from the matrix to bottom-hole and production interference between adjacent fractures is also established. Meanwhile, the corresponding iterative algorithm of the equations is given. In this case analysis, the productions of each well and fracture are calculated under the different bottom-hole flowing pressure, and this method also contributes to obtaining the distribution of pressure drop and production for every

Prognostic factors for influenza-associated hospitalization and death during an epidemic

NARCIS (Netherlands)

Hak, E; Verheij, T J; van Essen, G A; Lafeber, A B; Grobbee, D E; Hoes, A W

To predict which patients with current high-risk disease in the community may benefit most from additional preventive or therapeutic measures for influenza, we determined prognostic factors for influenza-associated hospitalization and death in a general practice-based case-control study among this

Applying the theory of planned behavior to predict dairy product consumption by older adults.

Science.gov (United States)

Kim, Kyungwon; Reicks, Marla; Sjoberg, Sara

2003-01-01

The purpose of this study was to explain intention to consume dairy products and consumption of dairy products by older adults using the Theory of Planned Behavior (TPB). The factors examined were attitudes, subjective norms, and perceived behavioral control. A cross-sectional questionnaire was administered. Community centers with congregate dining programs, group classes, and recreational events for older adults. One hundred and sixty-two older adults (mean age 75 years) completed the questionnaire. Subjects were mostly women (76%) and white (65%), with about half having less than a high school education or completing high school. Variables based on the TPB were assessed through questionnaire items that were constructed to form scales measuring attitudes, subjective norms, perceived behavioral control, and intention to consume dairy products. Dairy product consumption was measured using a food frequency questionnaire. Regression analyses were used to determine the association between the scales for the 3 variables proposed in the TPB and intention to consume and consumption of dairy products; the alpha level was set at.05 to determine the statistical significance of results. Attitudes toward eating dairy products and perceived behavioral control contributed to the model for predicting intention, whereas subjective norms did not. Attitudes toward eating dairy products were slightly more important than perceived behavioral control in predicting intention. In turn, intention was strongly related to dairy product consumption, and perceived behavioral control was independently associated with dairy product consumption. These results suggest the utility of the TPB in explaining dairy product consumption for older adults. Nutrition education should focus on improving attitudes and removing barriers to consumption of dairy products for older adults.

Analysis and Prediction of Energy Production in Concentrating Photovoltaic (CPV Installations

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Allen Barnett

2012-03-01

Full Text Available A method for the prediction of Energy Production (EP in Concentrating Photovoltaic (CPV installations is examined in this study. It presents a new method that predicts EP by using Global Horizontal Irradiation (GHI and the Photovoltaic Geographical Information System (PVGIS database, instead of Direct Normal Irradiation (DNI data, which are rarely recorded at most locations. EP at four Spanish CPV installations is analyzed: two are based on silicon solar cells and the other two on multi-junction III-V solar cells. The real EP is compared with the predicted EP. Two methods for EP prediction are presented. In the first preliminary method, a monthly Performance Ratio (PR is used as an arbitrary constant value (75% and an estimation of the DNI. The DNI estimation is obtained from GHI measurements and the PVGIS database. In the second method, a lineal model is proposed for the first time in this paper to obtain the predicted EP from the estimated DNI. This lineal model is the regression line that correlates the real monthly EP and the estimated DNI in 2009. This new method implies that the monthly PR is variable. Using the new method, the difference between the predicted and the real EP values is less than 2% for the annual EP and is in the range of 5.6%–16.1% for the monthly EP. The method that uses the variable monthly PR allows the prediction of the EP with reasonable accuracy. It is therefore possible to predict the CPV EP for any location, using only widely available GHI data and the PVGIS database.

Cell death following BNCT: A theoretical approach based on Monte Carlo simulations

Energy Technology Data Exchange (ETDEWEB)

Ballarini, F., E-mail: francesca.ballarini@pv.infn.it [University of Pavia, Department of Nuclear and Theoretical Physics, via Bassi 6, Pavia (Italy)] [INFN (National Institute of Nuclear Physics)-Sezione di Pavia, via Bassi 6, Pavia (Italy); Bakeine, J. [University of Pavia, Department of Nuclear and Theoretical Physics, via Bassi 6, Pavia (Italy); Bortolussi, S. [University of Pavia, Department of Nuclear and Theoretical Physics, via Bassi 6, Pavia (Italy)] [INFN (National Institute of Nuclear Physics)-Sezione di Pavia, via Bassi 6, Pavia (Italy); Bruschi, P. [University of Pavia, Department of Nuclear and Theoretical Physics, via Bassi 6, Pavia (Italy); Cansolino, L.; Clerici, A.M.; Ferrari, C. [University of Pavia, Department of Surgery, Experimental Surgery Laboratory, Pavia (Italy); Protti, N.; Stella, S. [University of Pavia, Department of Nuclear and Theoretical Physics, via Bassi 6, Pavia (Italy)] [INFN (National Institute of Nuclear Physics)-Sezione di Pavia, via Bassi 6, Pavia (Italy); Zonta, A.; Zonta, C. [University of Pavia, Department of Surgery, Experimental Surgery Laboratory, Pavia (Italy); Altieri, S. [University of Pavia, Department of Nuclear and Theoretical Physics, via Bassi 6, Pavia (Italy)] [INFN (National Institute of Nuclear Physics)-Sezione di Pavia, via Bassi 6, Pavia (Italy)

2011-12-15

In parallel to boron measurements and animal studies, investigations on radiation-induced cell death are also in progress in Pavia, with the aim of better characterisation of the effects of a BNCT treatment down to the cellular level. Such studies are being carried out not only experimentally but also theoretically, based on a mechanistic model and a Monte Carlo code. Such model assumes that: (1) only clustered DNA strand breaks can lead to chromosome aberrations; (2) only chromosome fragments within a certain threshold distance can undergo misrejoining; (3) the so-called 'lethal aberrations' (dicentrics, rings and large deletions) lead to cell death. After applying the model to normal cells exposed to monochromatic fields of different radiation types, the irradiation section of the code was purposely extended to mimic the cell exposure to a mixed radiation field produced by the {sup 10}B(n,{alpha}) {sup 7}Li reaction, which gives rise to alpha particles and Li ions of short range and high biological effectiveness, and by the {sup 14}N(n,p){sup 14}C reaction, which produces 0.58 MeV protons. Very good agreement between model predictions and literature data was found for human and animal cells exposed to X- or gamma-rays, protons and alpha particles, thus allowing to validate the model for cell death induced by monochromatic radiation fields. The model predictions showed good agreement also with experimental data obtained by our group exposing DHD cells to thermal neutrons in the TRIGA Mark II reactor of University of Pavia; this allowed to validate the model also for a BNCT exposure scenario, providing a useful predictive tool to bridge the gap between irradiation and cell death.

Towards prediction of metabolic products of polyketide synthases: an in silico analysis.

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Gitanjali Yadav

2009-04-01

Full Text Available Sequence data arising from an increasing number of partial and complete genome projects is revealing the presence of the polyketide synthase (PKS family of genes not only in microbes and fungi but also in plants and other eukaryotes. PKSs are huge multifunctional megasynthases that use a variety of biosynthetic paradigms to generate enormously diverse arrays of polyketide products that posses several pharmaceutically important properties. The remarkable conservation of these gene clusters across organisms offers abundant scope for obtaining novel insights into PKS biosynthetic code by computational analysis. We have carried out a comprehensive in silico analysis of modular and iterative gene clusters to test whether chemical structures of the secondary metabolites can be predicted from PKS protein sequences. Here, we report the success of our method and demonstrate the feasibility of deciphering the putative metabolic products of uncharacterized PKS clusters found in newly sequenced genomes. Profile Hidden Markov Model analysis has revealed distinct sequence features that can distinguish modular PKS proteins from their iterative counterparts. For iterative PKS proteins, structural models of iterative ketosynthase (KS domains have revealed novel correlations between the size of the polyketide products and volume of the active site pocket. Furthermore, we have identified key residues in the substrate binding pocket that control the number of chain extensions in iterative PKSs. For modular PKS proteins, we describe for the first time an automated method based on crucial intermolecular contacts that can distinguish the correct biosynthetic order of substrate channeling from a large number of non-cognate combinatorial possibilities. Taken together, our in silico analysis provides valuable clues for formulating rules for predicting polyketide products of iterative as well as modular PKS clusters. These results have promising potential for discovery of

Comparison of death certificate and autopsy diagnoses - Hiroshima. [Cause of death

Energy Technology Data Exchange (ETDEWEB)

Stone, R S; Anderson, Jr, P S

1960-09-14

In this report evaluation of the death certificates has been on the basis of comparison with recorded autopsy diagnoses without review of the latter. An attempt has been made to evaluate limitations inherent in this method. The cases analyzed here represent the ABCC Hiroshima autopsy series from 1949 through 1959. Post mortem examinations on stillbirths and neonatal deaths that were collected during the years 1948 through 1953 were excluded from consideration because such cases are not pertinent to the general problems under study. With this limitation 1304 cases were available for matching. In 139 of these cases the death certificates were not available through the mechanisms of the overall study, so 1165 cases remained. Before comparisons are made the most important questions that must be answered about the materials and methods of the present investigation are: (1) is the autopsy-death certificate series a representative sample of all deaths in the population; (2) are the autopsy diagnoses correct; (3) are the death certificates properly understood and coded; and (4) are biologically meaningful groupings chosen for comparison between autopsy cause of death and death certificate cause of death. Because it is not possible to provide exact answers to all of these questions the doubt that they raise must be admitted but evaluated in the perspective of that part of the answer which is known.

16 CFR 1115.6 - Reporting of unreasonable risk of serious injury or death.

Science.gov (United States)

2010-01-01

... term includes not only the concept of “grievous bodily injury,” defined at § 1115.12(d), but also any... injury or death. 1115.6 Section 1115.6 Commercial Practices CONSUMER PRODUCT SAFETY COMMISSION CONSUMER... Reporting of unreasonable risk of serious injury or death. (a) General provision. Every manufacturer...

Bayesian binary regression model: an application to in-hospital death after AMI prediction

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Aparecida D. P. Souza

2004-08-01

Full Text Available A Bayesian binary regression model is developed to predict death of patients after acute myocardial infarction (AMI. Markov Chain Monte Carlo (MCMC methods are used to make inference and to evaluate Bayesian binary regression models. A model building strategy based on Bayes factor is proposed and aspects of model validation are extensively discussed in the paper, including the posterior distribution for the c-index and the analysis of residuals. Risk assessment, based on variables easily available within minutes of the patients' arrival at the hospital, is very important to decide the course of the treatment. The identified model reveals itself strongly reliable and accurate, with a rate of correct classification of 88% and a concordance index of 83%.Um modelo bayesiano de regressão binária é desenvolvido para predizer óbito hospitalar em pacientes acometidos por infarto agudo do miocárdio. Métodos de Monte Carlo via Cadeias de Markov (MCMC são usados para fazer inferência e validação. Uma estratégia para construção de modelos, baseada no uso do fator de Bayes, é proposta e aspectos de validação são extensivamente discutidos neste artigo, incluindo a distribuição a posteriori para o índice de concordância e análise de resíduos. A determinação de fatores de risco, baseados em variáveis disponíveis na chegada do paciente ao hospital, é muito importante para a tomada de decisão sobre o curso do tratamento. O modelo identificado se revela fortemente confiável e acurado, com uma taxa de classificação correta de 88% e um índice de concordância de 83%.

Theoretical predictions for charm and bottom production at the LHC

CERN Document Server

Cacciari, Matteo; Houdeau, Nicolas; Mangano, Michelangelo L; Nason, Paolo; Ridolfi, Giovanni

2012-01-01

We present predictions for a variety of single-inclusive observables that stem from the production of charm and bottom quark pairs at the 7 TeV LHC. They are obtained within the FONLL semi-analytical framework, and with two "Monte Carlo + NLO" approaches, MC@NLO and POWHEG. Results are given for final states and acceptance cuts that are as close as possible to those used by experimental collaborations and, where feasible, are compared to LHC data.

A 'beautiful death': mortality, death, and holidays in a Mexican municipality.

Science.gov (United States)

Wilches-Gutiérrez, José L; Arenas-Monreal, Luz; Paulo-Maya, Alfredo; Peláez-Ballestas, Ingris; Idrovo, Alvaro J

2012-03-01

Several studies have reported increased mortality during holidays. Using a cultural epidemiological, sequential mixed-methods approach, this study explored holiday-related trends using mortality data from Yautepec (Morelos, Mexico) collected between 1986 and 2008 (N=5027 deaths). This analysis found that mortality increased on Christmas Day and All Saints' Day. Mortality increased on Candlemas Day among women, and increased on New Year's Day among men. More deaths caused by cardiovascular disease among women and traumatic injuries among men occurred during holidays than in non-holiday periods. To ascertain the elements comprising the health/illness/death process in the context of a holiday in this municipality, we conducted semi-structured interviews in March and April 2009 with relatives of seven individuals who had died during holidays in the previous 4 years (N=11); data from these interviews were analyzed from a grounded theory perspective to ascertain common conceptual themes. The "beautiful death" emerged as the main concept in the interpretation of death; this concept was related to the expectation of a good death and the particularly special nature of death during a holiday because of the involvement of religious entities, such as God, the Virgin Mary, and/or a saint, at the moment of death. Quantitative and qualitative results provided information about the important effects of holidays, culture, and religious belief on mortality patterns within a Mexican context, and contributed to a better understanding of the relationships among mortality, the nature of death, and holidays. Our results suggest that, in the studied region, death can be interpreted as a "beautiful process". More research is needed to explore this process in other similar contexts and to address topics related to the care and attention given the dying person and the expectation of a good death. Copyright © 2012 Elsevier Ltd. All rights reserved.

Redox dynamics of manganese as a mitochondrial life-death switch

International Nuclear Information System (INIS)

Smith, Matthew Ryan; Fernandes, Jolyn; Go, Young-Mi; Jones, Dean P.

2017-01-01

Sten Orrenius, M.D., Ph.D., pioneered many areas of cellular and molecular toxicology and made seminal contributions to our knowledge of oxidative stress and glutathione (GSH) metabolism, organellar functions and Ca +2 -dependent mechanisms of cell death, and mechanisms of apoptosis. On the occasion of his 80 th birthday, we summarize current knowledge on redox biology of manganese (Mn) and its role in mechanisms of cell death. Mn is found in all organisms and has critical roles in cell survival and death mechanisms by regulating Mn-containing enzymes such as manganese superoxide dismutase (SOD2) or affecting expression and activity of caspases. Occupational exposures to Mn cause “manganism”, a Parkinson's disease-like condition of neurotoxicity, and experimental studies show that Mn exposure leads to accumulation of Mn in the brain, especially in mitochondria, and neuronal cell death occurs with features of an apoptotic mechanism. Interesting questions are why a ubiquitous metal that is essential for mitochondrial function would accumulate to excessive levels, cause increased H 2 O 2 production and lead to cell death. Is this due to the interactions of Mn with other essential metals, such as iron, or with toxic metals, such as cadmium? Why is the Mn loading in the human brain so variable, and why is there such a narrow window between dietary adequacy and toxicity? Are non-neuronal tissues similarly vulnerable to insufficiency and excess, yet not characterized? We conclude that Mn is an important component of the redox interface between an organism and its environment and warrants detailed studies to understand the role of Mn as a mitochondrial life-death switch. - Highlights: • Either insufficient or excess manganese activates mitochondria-mediated cell death. • The optimal healthy Mn exposure window is very narrow. • Mitochondrial H 2 O 2 production depends on Mn across physiologic to toxicologic range. • Integrative omics needed to understand

An integrated prediction and optimization model of biogas production system at a wastewater treatment facility.

Science.gov (United States)

Akbaş, Halil; Bilgen, Bilge; Turhan, Aykut Melih

2015-11-01

This study proposes an integrated prediction and optimization model by using multi-layer perceptron neural network and particle swarm optimization techniques. Three different objective functions are formulated. The first one is the maximization of methane percentage with single output. The second one is the maximization of biogas production with single output. The last one is the maximization of biogas quality and biogas production with two outputs. Methane percentage, carbon dioxide percentage, and other contents' percentage are used as the biogas quality criteria. Based on the formulated models and data from a wastewater treatment facility, optimal values of input variables and their corresponding maximum output values are found out for each model. It is expected that the application of the integrated prediction and optimization models increases the biogas production and biogas quality, and contributes to the quantity of electricity production at the wastewater treatment facility. Copyright © 2015 Elsevier Ltd. All rights reserved.

BRAIN DEATH DIAGNOSIS

Directory of Open Access Journals (Sweden)

Calixto Machado

2009-10-01

Full Text Available Brain death (BD diagnosis should be established based on the following set of principles, i.e. excluding major confusing factors, identifying the cause of coma, determining irreversibility, and precisely testing brainstem reflexes at all levels of the brainstem. Nonetheless, most criteria for BD diagnosis do not mention that this is not the only way of diagnosing death. The Cuban Commission for the Determination of Death has emphasized the aforesaid three possible situations for diagnosing death: a outside intensive care environment (without life support physicians apply the cardio-circulatory and respiratory criteria; b in forensic medicine circumstances, physicians utilize cadaveric signs (they do not even need a stethoscope; c in the intensive care environment (with life support when cardiorespiratory arrest occurs physicians utilize the cardio-circulatory and respiratory criteria. This methodology of diagnosing death, based on finding any of the death signs, is not related to the concept that there are different types of death. The irreversible loss of cardio-circulatory and respiratory functions can only cause death when ischemia and anoxia are prolonged enough to produce an irreversible destruction of the brain. The sign of irreversible loss of brain functions, that is to say BD diagnosis, is fully reviewed.

Causes of deaths data, linkages and big data perspectives.

Science.gov (United States)

Rey, Grégoire; Bounebache, Karim; Rondet, Claire

2018-07-01

The study of cause-specific mortality data is one of the main sources of information for public health monitoring. In most industrialized countries, when a death occurs, it is a legal requirement that a medical certificate based on the international form recommended by World Health Organization's (WHO) is filled in by a physician. The physician reports the causes of death that directly led or contributed to the death on the death certificate. The death certificate is then forwarded to a coding office, where each cause is coded, and one underlying cause is defined, using the rules of the International Classification of Diseases and Related Health Problems, now in its 10th Revision (ICD-10). Recently, a growing number of countries have adopted, or have decided to adopt, the coding software Iris, developed and maintained by an international consortium 1 . This whole standardized production process results in a high and constantly increasing international comparability of cause-specific mortality data. While these data could be used for international comparisons and benchmarking of global burden of diseases, quality of care and prevention policies, there are also many other ways and methods to explore their richness, especially when they are linked with other data sources. Some of these methods are potentially referring to the so-called "big data" field. These methods could be applied both to the production of the data, to the statistical processing of the data, and even more to process these data linked to other databases. In the present note, we depict the main domains in which this new field of methods could be applied. We focus specifically on the context of France, a 65 million inhabitants country with a centralized health data system. Finally we will insist on the importance of data quality, and the specific problematics related to death certification in the forensic medicine domain. Copyright © 2016 Elsevier Ltd and Faculty of Forensic and Legal Medicine. All

Integration of artificial intelligence methods and life cycle assessment to predict energy output and environmental impacts of paddy production.

Science.gov (United States)

Nabavi-Pelesaraei, Ashkan; Rafiee, Shahin; Mohtasebi, Seyed Saeid; Hosseinzadeh-Bandbafha, Homa; Chau, Kwok-Wing

2018-08-01

Prediction of agricultural energy output and environmental impacts play important role in energy management and conservation of environment as it can help us to evaluate agricultural energy efficiency, conduct crops production system commissioning, and detect and diagnose faults of crop production system. Agricultural energy output and environmental impacts can be readily predicted by artificial intelligence (AI), owing to the ease of use and adaptability to seek optimal solutions in a rapid manner as well as the use of historical data to predict future agricultural energy use pattern under constraints. This paper conducts energy output and environmental impact prediction of paddy production in Guilan province, Iran based on two AI methods, artificial neural networks (ANNs), and adaptive neuro fuzzy inference system (ANFIS). The amounts of energy input and output are 51,585.61MJkg -1 and 66,112.94MJkg -1 , respectively, in paddy production. Life Cycle Assessment (LCA) is used to evaluate environmental impacts of paddy production. Results show that, in paddy production, in-farm emission is a hotspot in global warming, acidification and eutrophication impact categories. ANN model with 12-6-8-1 structure is selected as the best one for predicting energy output. The correlation coefficient (R) varies from 0.524 to 0.999 in training for energy input and environmental impacts in ANN models. ANFIS model is developed based on a hybrid learning algorithm, with R for predicting output energy being 0.860 and, for environmental impacts, varying from 0.944 to 0.997. Results indicate that the multi-level ANFIS is a useful tool to managers for large-scale planning in forecasting energy output and environmental indices of agricultural production systems owing to its higher speed of computation processes compared to ANN model, despite ANN's higher accuracy. Copyright © 2018 Elsevier B.V. All rights reserved.

The Thanatomicrobiome: A Missing Piece of the Microbial Puzzle of Death

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Gulnaz T Javan

2016-02-01

Full Text Available Death is a universal phenomenon; however, is there life after death? This topic has been investigated for centuries but still there are grey areas that have yet to be elucidated. Forensic microbiologists are developing new applications to investigate the dynamic and coordinated changes in microbial activity that occur when a human host dies. There is currently a paucity of explorations of the thanatomicrobiome (thanatos-, Greek for death and epinecrotic communities (microbial communities residing in and/or moving on the surface of decomposing remains. Ongoing studies can help clarify the structure and function of these postmortem microbiomes. Human microbiome studies have revealed that 75-90% of cells in the body prior to death are microbial. Upon death, putrefaction occurs and is a complicated process encompassing chemical degradation and autolysis of cells. Decomposition also involves the release of contents of the intestines due to enzymes under the effects of abiotic and biotic factors. These factors likely have predictable effects on postmortem microbial communities and can be leveraged for forensic studies. This mini review provides a critical examination of emerging research relating to thanatomicrobiome and epinecrotic communities, how each is studied, and possible strategies of stochastic processes.

In-hospital Death Prediction by Multilevel Logistic Regressin in Patients with Acute Coronary Syndromes

Czech Academy of Sciences Publication Activity Database

Reissigová, Jindra; Monhart, Z.; Zvárová, Jana; Hanzlíček, Petr; Grünfeldová, H.; Janský, P.; Vojáček, J.; Widimský, P.

2013-01-01

Roč. 9, č. 1 (2013), s. 11-17 ISSN 1801-5603 Institutional support: RVO:67985807 Keywords : multilevel logistic regression * acute coronary syndromes * risk factors * in-hospital death Subject RIV: IN - Informatics, Computer Science http://www.ejbi.org/img/ejbi/2013/1/Reissigova_en.pdf

Preliminary evaluation of the importance of existing hydraulic-head observation locations to advective-transport predictions, Death Valley regional flow system, California and Nevada

International Nuclear Information System (INIS)

Hill, M.C.; Ely, D.M.; Tiedeman, C.R.; O'Brien, G.M.; D'Agnese, F.A.; Faunt, C.C.

2001-01-01

When a model is calibrated by nonlinear regression, calculated diagnostic statistics and measures of uncertainty provide a wealth of information about many aspects of the system. This report presents a method of ranking the likely importance of existing observation locations using measures of prediction uncertainty. It is suggested that continued monitoring is warranted at more important locations, and unwarranted or less warranted at less important locations. The report develops the methodology and then demonstrates it using the hydraulic-head observation locations of a three-layer model of the Death Valley regional flow system (DVRFS). The predictions of interest are subsurface transport from beneath Yucca Mountain and 14 underground Test Area (UGTA) sites. The advective component of transport is considered because it is the component most affected by the system dynamics represented by the regional-scale model being used. The problem is addressed using the capabilities of the U.S. Geological Survey computer program MODFLOW-2000, with its ADVective-Travel Observation (ADV) Package, and an additional computer program developed for this work

Prediction of enteric methane production, yield, and intensity in dairy cattle using an intercontinental database

DEFF Research Database (Denmark)

Niu, Mutian; Kebreab, Ermias; Hristov, Alexander N

2018-01-01

data from animals under different management systems worldwide. The objectives of this study were to (1) collate a global database of enteric CH4production from individual lactating dairy cattle; (2) determine the availability of key variables for predicting enteric CH4production (g/day per cow), yield...

Exploring the Predictive Validity of the Susceptibility to Smoking Construct for Tobacco Cigarettes, Alternative Tobacco Products, and E-Cigarettes.

Science.gov (United States)

Cole, Adam G; Kennedy, Ryan David; Chaurasia, Ashok; Leatherdale, Scott T

2017-12-06

Within tobacco prevention programming, it is useful to identify youth that are at risk for experimenting with various tobacco products and e-cigarettes. The susceptibility to smoking construct is a simple method to identify never-smoking students that are less committed to remaining smoke-free. However, the predictive validity of this construct has not been tested within the Canadian context or for the use of other tobacco products and e-cigarettes. This study used a large, longitudinal sample of secondary school students that reported never using tobacco cigarettes and non-current use of alternative tobacco products or e-cigarettes at baseline in Ontario, Canada. The sensitivity, specificity, and positive and negative predictive values of the susceptibility construct for predicting tobacco cigarette, e-cigarette, cigarillo or little cigar, cigar, hookah, and smokeless tobacco use one and two years after baseline measurement were calculated. At baseline, 29.4% of the sample was susceptible to future tobacco product or e-cigarette use. The sensitivity of the construct ranged from 43.2% (smokeless tobacco) to 59.5% (tobacco cigarettes), the specificity ranged from 70.9% (smokeless tobacco) to 75.9% (tobacco cigarettes), and the positive predictive value ranged from 2.6% (smokeless tobacco) to 32.2% (tobacco cigarettes). Similar values were calculated for each measure of the susceptibility construct. A significant number of youth that did not currently use tobacco products or e-cigarettes at baseline reported using tobacco products and e-cigarettes over a two-year follow-up period. The predictive validity of the susceptibility construct was high and the construct can be used to predict other tobacco product and e-cigarette use among youth. This study presents the predictive validity of the susceptibility construct for the use of tobacco cigarettes among secondary school students in Ontario, Canada. It also presents a novel use of the susceptibility construct for

Effectiveness of a Death-Education Program in Reducing Death Anxiety of Nursing Students.

Science.gov (United States)

Johansson, Noreen; Lally, Terry

1991-01-01

Evaluated effectiveness of death education program in reducing death anxiety experienced by 22 junior and senior nursing students. Subjects were pre- and posttested with State Form of State-Trait Anxiety Inventory and viewed film of death experience. Posttest analysis indicated that death education program was effective in decreasing death anxiety…

Death and Grief

Science.gov (United States)

... Staying Safe Videos for Educators Search English Español Death and Grief KidsHealth / For Teens / Death and Grief What's in this article? What Is ... the reaction we have in response to a death or loss. Grief can affect our body, mind, ...

Towards precise predictions for Higgs-boson production in the MSSM

CERN Document Server

Bagnaschi, E; Liebler, S; Mantler, H; Slavich, P; Vicini, A

2014-01-01

We study the production of scalar and pseudoscalar Higgs bosons via gluon fusion and bottom-quark annihilation in the MSSM. Relying on the NNLO-QCD calculation implemented in the public code SusHi, we provide precise predictions for the Higgs-production cross section in six benchmark scenarios compatible with the LHC searches. We also provide a detailed discussion of the sources of theoretical uncertainty in our calculation. We examine the dependence of the cross section on the renormalization and factorization scales, on the precise definition of the Higgs-bottom coupling and on the choice of PDFs, as well as the uncertainties associated to our incomplete knowledge of the SUSY contributions through NNLO. In particular, a potentially large uncertainty originates from uncomputed higher-order QCD corrections to the bottom-quark contributions to gluon fusion.

Identity after Death

DEFF Research Database (Denmark)

Gerstrøm, Anna

2015-01-01

Purpose: The purpose of this paper is to explore how legacy organizational identity and death relate to each other and, thereby, contribute to closing the gap in knowledge on organizational identity constructions in times of death. Design/methodology/approach: The paper opted for an exploratory....../value: This paper addresses an apparent gap in the literature on identity and death; exploring identity narratives in a bankrupted bank, the paper considers constructions of legacy organizational identities in times of disruptive death....

A Death in the Family: Death as a Zen Concept

Science.gov (United States)

Black, Helen K.; Rubinstein, Robert L.

2013-01-01

This study is based on original research that explored family reaction to the death of an elderly husband and father. We interviewed 34 families (a family included a widow and two adult biological children) approximately 6 to 10 months after the death. In one-on-one interviews, we discussed family members' initial reaction to the death, how the…

The Prediction of Drought-Related Tree Mortality in Vegetation Models

Science.gov (United States)

Schwinning, S.; Jensen, J.; Lomas, M. R.; Schwartz, B.; Woodward, F. I.

2013-12-01

Drought-related tree die-off events at regional scales have been reported from all wooded continents and it has been suggested that their frequency may be increasing. The prediction of these drought-related die-off events from regional to global scales has been recognized as a critical need for the conservation of forest resources and improving the prediction of climate-vegetation interactions. However, there is no conceptual consensus on how to best approach the quantitative prediction of tree mortality. Current models use a variety of mechanisms to represent demographic events. Mortality is modeled to represent a number of different processes, including death by fire, wind throw, extreme temperatures, and self-thinning, and each vegetation model differs in the emphasis they place on specific mechanisms. Dynamic global vegetation models generally operate on the assumption of incremental vegetation shift due to changes in the carbon economy of plant functional types and proportional effects on recruitment, growth, competition and mortality, but this may not capture sudden and sweeping tree death caused by extreme weather conditions. We tested several different approaches to predicting tree mortality within the framework of the Sheffield Dynamic Global Vegetation Model. We applied the model to the state of Texas, USA, which in 2011 experienced extreme drought conditions, causing the death of an estimated 300 million trees statewide. We then compared predicted to actual mortality to determine which algorithms most accurately predicted geographical variation in tree mortality. We discuss implications regarding the ongoing debate on the causes of tree death.

Live-cell visualization of gasdermin D-driven pyroptotic cell death.

Science.gov (United States)

Rathkey, Joseph K; Benson, Bryan L; Chirieleison, Steven M; Yang, Jie; Xiao, Tsan S; Dubyak, George R; Huang, Alex Y; Abbott, Derek W

2017-09-01

Pyroptosis is a form of cell death important in defenses against pathogens that can also result in a potent and sometimes pathological inflammatory response. During pyroptosis, GSDMD (gasdermin D), the pore-forming effector protein, is cleaved, forms oligomers, and inserts into the membranes of the cell, resulting in rapid cell death. However, the potent cell death induction caused by GSDMD has complicated our ability to understand the biology of this protein. Studies aimed at visualizing GSDMD have relied on expression of GSDMD fragments in epithelial cell lines that naturally lack GSDMD expression and also lack the proteases necessary to cleave GSDMD. In this work, we performed mutagenesis and molecular modeling to strategically place tags and fluorescent proteins within GSDMD that support native pyroptosis and facilitate live-cell imaging of pyroptotic cell death. Here, we demonstrate that these fusion proteins are cleaved by caspases-1 and -11 at Asp-276. Mutations that disrupted the predicted p30-p20 autoinhibitory interface resulted in GSDMD aggregation, supporting the oligomerizing activity of these mutations. Furthermore, we show that these novel GSDMD fusions execute inflammasome-dependent pyroptotic cell death in response to multiple stimuli and allow for visualization of the morphological changes associated with pyroptotic cell death in real time. This work therefore provides new tools that not only expand the molecular understanding of pyroptosis but also enable its direct visualization. © 2017 by The American Society for Biochemistry and Molecular Biology, Inc.

BMD PREDICTION OF DEATH IS ENCAPSULATED BY THE MORPHOLOGICAL ATHEROSCLEROSIS CALCIFICATION DISTRIBUTION (MACD) INDEX

DEFF Research Database (Denmark)

Ganz, Melanie; Nielsen, Mads; Karsdal, Morten

2009-01-01

.3±0.3 years and of which CVD, cancer, and all cause deaths were recorded. The spine BMD and aortic calcification markers, AC24 and the recently proposed Morphological Atherosclerosis Calcification Distribution (MACD) index, were quantified from DXA scans and lateral X-rays respectively. The MACD...

Comparison of Expert Adjudicated Coronary Heart Disease and Cardiovascular Disease Mortality With the National Death Index: Results From the REasons for Geographic And Racial Differences in Stroke (REGARDS) Study.

Science.gov (United States)

Olubowale, Olusola Tope; Safford, Monika M; Brown, Todd M; Durant, Raegan W; Howard, Virginia J; Gamboa, Christopher; Glasser, Stephen P; Rhodes, J David; Levitan, Emily B

2017-05-03

The National Death Index (NDI) is widely used to detect coronary heart disease (CHD) and cardiovascular disease (CVD) deaths, but its reliability has not been examined recently. We compared CHD and CVD deaths detected by NDI with expert adjudication of 4010 deaths that occurred between 2003 and 2013 among participants in the REGARDS (REasons for Geographic And Racial Differences in Stroke) cohort of black and white adults in the United States. NDI derived CHD mortality had sensitivity 53.6%, specificity 90.3%, positive predictive value 54.2%, and negative predictive value 90.1%. NDI-derived CVD mortality had sensitivity 73.4%, specificity 84.5%, positive predictive value 70.6%, and negative predictive value 86.2%. Among NDI-derived CHD and CVD deaths, older age (odds ratios, 1.06 and 1.04 per 1-year increase) was associated with a higher probability of disagreement with the adjudicated cause of death, whereas among REGARDS adjudicated CHD and CVD deaths a history of CHD or CVD was associated with a lower probability of disagreement with the NDI-derived causes of death (odds ratios, 0.59 and 0.67, respectively). The modest accuracy and differential performance of NDI-derived cause of death may impact CHD and CVD mortality statistics. © 2017 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley.

Risk score for predicting long-term mortality after coronary artery bypass graft surgery.

Science.gov (United States)

Wu, Chuntao; Camacho, Fabian T; Wechsler, Andrew S; Lahey, Stephen; Culliford, Alfred T; Jordan, Desmond; Gold, Jeffrey P; Higgins, Robert S D; Smith, Craig R; Hannan, Edward L

2012-05-22

No simplified bedside risk scores have been created to predict long-term mortality after coronary artery bypass graft surgery. The New York State Cardiac Surgery Reporting System was used to identify 8597 patients who underwent isolated coronary artery bypass graft surgery in July through December 2000. The National Death Index was used to ascertain patients' vital statuses through December 31, 2007. A Cox proportional hazards model was fit to predict death after CABG surgery using preprocedural risk factors. Then, points were assigned to significant predictors of death on the basis of the values of their regression coefficients. For each possible point total, the predicted risks of death at years 1, 3, 5, and 7 were calculated. It was found that the 7-year mortality rate was 24.2 in the study population. Significant predictors of death included age, body mass index, ejection fraction, unstable hemodynamic state or shock, left main coronary artery disease, cerebrovascular disease, peripheral arterial disease, congestive heart failure, malignant ventricular arrhythmia, chronic obstructive pulmonary disease, diabetes mellitus, renal failure, and history of open heart surgery. The points assigned to these risk factors ranged from 1 to 7; possible point totals for each patient ranged from 0 to 28. The observed and predicted risks of death at years 1, 3, 5, and 7 across patient groups stratified by point totals were highly correlated. The simplified risk score accurately predicted the risk of mortality after coronary artery bypass graft surgery and can be used for informed consent and as an aid in determining treatment choice.

Death certificates underestimate infections as proximal causes of death in the U.S.

Directory of Open Access Journals (Sweden)

Sushant Govindan

Full Text Available Death certificates are a primary data source for assessing the population burden of diseases; however, there are concerns regarding their accuracy. Diagnosis-Related Group (DRG coding of a terminal hospitalization may provide an alternative view. We analyzed the rate and patterns of disagreement between death certificate data and hospital claims for patients who died during an inpatient hospitalization.We studied respondents from the Health and Retirement Study (a nationally representative sample of older Americans who had an inpatient death documented in the linked Medicare claims from 1993-2007. Causes of death abstracted from death certificates were aggregated to the standard National Center for Health Statistics List of 50 Rankable Causes of Death. Centers for Medicare and Medicaid Services (CMS-DRGs were manually aggregated into a parallel classification. We then compared the two systems via 2×2, focusing on concordance. Our primary analysis was agreement between the two data sources, assessed with percentages and Cohen's kappa statistic.2074 inpatient deaths were included in our analysis. 36.6% of death certificate cause-of-death codes agreed with the reason for the terminal hospitalization in the Medicare claims at the broad category level; when re-classifying DRGs without clear alignment as agreements, the concordance only increased to 61%. Overall Kappa was 0.21, or "fair." Death certificates in this cohort redemonstrated the conventional top 3 causes of death as diseases of the heart, malignancy, and cerebrovascular disease. However, hospitalization claims data showed infections, diseases of the heart, and cerebrovascular disease as the most common diagnoses for the same terminal hospitalizations.There are significant differences between Medicare claims and death certificate data in assigning cause of death for inpatients. The importance of infections as proximal causes of death is underestimated by current death certificate

Mortality Salience and Morality: Thinking about Death Makes People Less Utilitarian

Science.gov (United States)

Tremoliere, Bastien; De Neys, Wim; Bonnefon, Jean-Francois

2012-01-01

According to the dual-process model of moral judgment, utilitarian responses to moral conflict draw on limited cognitive resources. Terror Management Theory, in parallel, postulates that mortality salience mobilizes these resources to suppress thoughts of death out of focal attention. Consequently, we predicted that individuals under mortality…

Prediction of bakery products nutritive value based on mathematical modeling of biochemical reactions

Directory of Open Access Journals (Sweden)

E. I. Ponomareva

2013-01-01

Full Text Available Researches are devoted to identifying changes in the chemical composition of whole-grain wheat bread during baking and to forecasting of food value of bakery products by mathematical modeling of biochemical transformations. The received model represents the invariant composition, considering speed of biochemical reactions at a batch of bakery products, and allowing conduct virtual experiments to develop new types of bread for various categories of the population, including athletes. The offered way of modeling of biochemical transformations at a stage of heat treatment allows to predict food value of bakery products, without spending funds for raw materials and large volume of experiment that will provide possibility of economy of material resources at a stage of development of new types of bakery products and possibility of production efficiency increase.

[Toxicomania: death beyond risk. Analysis of cause-of-death in drug addicts].

Science.gov (United States)

Jeanmonod, R; Fryc, O

1990-11-03

Violent deaths are of considerable importance among young adults, since they account for half the deaths in this age group (average age 26.4 years). Suicide and accidents (both categories including drug overdoses) are the most frequent categories of deaths from non-natural causes, while in the USA deaths by homicide are also of considerable importance. Current repressive policies have not brought the problem of drug addiction under control. Each year deaths by overdose among drug abusers occur. Nevertheless, 40% of deaths among drug addicts are from other causes, principally accidents and suicides. In the near future, AIDS may well account for the majority of deaths among drug addicts, thus adding to the mortality from overdose, both accidental and suicidal. Has the time come to reconsider the problem of drug abuse and to find radical solutions which would previously have been unthinkable?

Sudden death victims

NARCIS (Netherlands)

Ceelen, Manon; van der Werf, Christian; Hendrix, Anneke; Naujocks, Tatjana; Woonink, Frits; de Vries, Philip; van der Wal, Allard; Das, Kees

2015-01-01

The goal of this study was to ascertain accordance between cause of death established by the forensic physician and autopsy results in young sudden death victims in the Netherlands. Sudden death victims aged 1-45 years examined by forensic physicians operating in the participating regions which also

Impact of the basal metabolic ratio in predicting early deaths after allogeneic stem cell transplantation.

Science.gov (United States)

Nishiwaki, Satoshi; Miyamura, Koichi; Seto, Aika; Watanabe, Keisuke; Yanagisawa, Mayumi; Imahashi, Nobuhiko; Shimba, Makoto; Yasuda, Takahiko; Kuwatsuka, Yachiyo; Oba, Taku; Terakura, Seitaro; Kodera, Yoshihisa

2009-09-01

Early deaths after allogeneic stem cell transplantation (allo-SCT) are of major concern. On the assumption that both decreased and increased basal metabolism might relate to early deaths, we analyzed the risk factors for overall survival to days 30 (OS30) and 60 (OS60). The Harris-Benedict equation was used to calculate basal metabolism. Comparing a patient's basal metabolism (PBM) calculated from pretransplant body weight with the standard basal metabolism (SBM) calculated from standard body weight (body mass index (BMI) = 22), we defined the basal metabolic ratio (BMR) as a parameter (BMR = PBM/SBM). We retrospectively analyzed 360 adult patients transplanted between 1997 and 2006 at a single center in Japan. A multivariate analysis of OS30 showed risk factors to be: BMR BMR; LBR) (P = 0.01), BMR > 1.05 (high BMR; HBR) (P = 0.005) and non-complete remission (non-CR) (P 5 0.001), whereas a multivariate analysis of OS60 showed those risk factors to be: LBR (P = 0.02), HBR (P = 0.04), non-CR (P = 0.002), and performance status BMR BMR; ABR) (96.8 and 90.3% for ABR, 87.1 and 76.2% for LBR, and 87.8 and 81.1% for HBR). In conclusion, BMR could prove to be a predictor of early death after allo-SCT.

Predictive modelling of migration from packaging materials into food products for regulatory purposes

NARCIS (Netherlands)

Helmroth, E.; Rijk, R.; Dekker, M.; Jongen, W.

2002-01-01

Migration of low-molecular weight compounds is one of the most important problems of packaging plastics and other plastics intended to come into contact with food products. Since migration experiments are time consuming and expensive, predictive modelling has been introduced as a promising

Accurate Prediction of Coronary Artery Disease Using Bioinformatics Algorithms

Directory of Open Access Journals (Sweden)

Hajar Shafiee

2016-06-01

Full Text Available Background and Objectives: Cardiovascular disease is one of the main causes of death in developed and Third World countries. According to the statement of the World Health Organization, it is predicted that death due to heart disease will rise to 23 million by 2030. According to the latest statistics reported by Iran’s Minister of health, 3.39% of all deaths are attributed to cardiovascular diseases and 19.5% are related to myocardial infarction. The aim of this study was to predict coronary artery disease using data mining algorithms. Methods: In this study, various bioinformatics algorithms, such as decision trees, neural networks, support vector machines, clustering, etc., were used to predict coronary heart disease. The data used in this study was taken from several valid databases (including 14 data. Results: In this research, data mining techniques can be effectively used to diagnose different diseases, including coronary artery disease. Also, for the first time, a prediction system based on support vector machine with the best possible accuracy was introduced. Conclusion: The results showed that among the features, thallium scan variable is the most important feature in the diagnosis of heart disease. Designation of machine prediction models, such as support vector machine learning algorithm can differentiate between sick and healthy individuals with 100% accuracy.

Simple Scoring System to Predict In-Hospital Mortality After Surgery for Infective Endocarditis.

Science.gov (United States)

Gatti, Giuseppe; Perrotti, Andrea; Obadia, Jean-François; Duval, Xavier; Iung, Bernard; Alla, François; Chirouze, Catherine; Selton-Suty, Christine; Hoen, Bruno; Sinagra, Gianfranco; Delahaye, François; Tattevin, Pierre; Le Moing, Vincent; Pappalardo, Aniello; Chocron, Sidney

2017-07-20

Aspecific scoring systems are used to predict the risk of death postsurgery in patients with infective endocarditis (IE). The purpose of the present study was both to analyze the risk factors for in-hospital death, which complicates surgery for IE, and to create a mortality risk score based on the results of this analysis. Outcomes of 361 consecutive patients (mean age, 59.1±15.4 years) who had undergone surgery for IE in 8 European centers of cardiac surgery were recorded prospectively, and a risk factor analysis (multivariable logistic regression) for in-hospital death was performed. The discriminatory power of a new predictive scoring system was assessed with the receiver operating characteristic curve analysis. Score validation procedures were carried out. Fifty-six (15.5%) patients died postsurgery. BMI >27 kg/m 2 (odds ratio [OR], 1.79; P =0.049), estimated glomerular filtration rate 55 mm Hg (OR, 1.78; P =0.032), and critical state (OR, 2.37; P =0.017) were independent predictors of in-hospital death. A scoring system was devised to predict in-hospital death postsurgery for IE (area under the receiver operating characteristic curve, 0.780; 95% CI, 0.734-0.822). The score performed better than 5 of 6 scoring systems for in-hospital death after cardiac surgery that were considered. A simple scoring system based on risk factors for in-hospital death was specifically created to predict mortality risk postsurgery in patients with IE. © 2017 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley.

Predictive factors of user acceptance on the primary educational mathematics aids product

Science.gov (United States)

Hidayah, I.; Margunani; Dwijanto

2018-03-01

Mathematics learning in primary schools requires instructional media. According to Piaget's theory, students are still in the concrete operational stage. For this reason, the development of the primary level mathematics aids is needed to support the development of successful mathematics learning. The stages of this research are the stages of commercialization with preparatory, marketing, and measurement analysis procedures. Promotion as part of marketing is done by doing a demonstration to the teacher. Measurements were performed to explore the predictive factors of user feasibility in adopting the product. Measurements were conducted using the concept of Technology Acceptance Model (TAM). Measurement variables include external variables, perceived usefulness, perceived ease of use, attitude, intention to use, and actual use. The result of this research shows that the contribution of predictive factors of mathematics teachers on the teaching aids product as follows: the external variable and perceived ease of use at 74%, perceived usefulness at 72%, intention to use (behavioral) at 58%, attitude at 52%, and the consequence factor (actual use) at 42%.

Acrolein-induced cell death in PC12 cells: role of mitochondria-mediated oxidative stress.

Science.gov (United States)

Luo, Jian; Robinson, J Paul; Shi, Riyi

2005-12-01

Oxidative stress has been implicated in acrolein cytotoxicity in various cell types, including mammalian spinal cord tissue. In this study we report that acrolein also decreases PC12 cell viability in a reactive oxygen species (ROS)-dependent manner. Specifically, acrolein-induced cell death, mainly necrosis, is accompanied by the accumulation of cellular ROS. Elevating ROS scavengers can alleviate acrolein-induced cell death. Furthermore, we show that exposure to acrolein leads to mitochondrial dysfunction, denoted by the loss of mitochondrial transmembrane potential, reduction of cellular oxygen consumption, and decrease of ATP level. This raises the possibility that the cellular accumulation of ROS could result from the increased production of ROS in the mitochondria of PC12 cells as a result of exposure to acrolein. The acrolein-induced significant decrease of ATP production in mitochondria may also explain why necrosis, not apoptosis, is the dominant type of cell death. In conclusion, our data suggest that one possible mechanism of acrolein-induced cell death could be through mitochondria as its initial target. The subsequent increase of ROS then inflicts cell death and further worsens mitochondria function. Such mechanism may play an important role in CNS trauma and neurodegenerative diseases.

Use of Proton-Pump Inhibitors Predicts Heart Failure and Death in Patients with Coronary Artery Disease.

Directory of Open Access Journals (Sweden)

Ana María Pello Lázaro

Full Text Available Proton-pump inhibitors (PPIs seem to increase the incidence of cardiovascular events in patients with coronary artery disease (CAD, mainly in those using clopidogrel. We analysed the impact of PPIs on the prognosis of patients with stable CAD.We followed 706 patients with CAD. Primary outcome was the combination of secondary outcomes. Secondary outcomes were 1 acute ischaemic events (any acute coronary syndrome, stroke, or transient ischaemic attack and 2 heart failure (HF or death.Patients on PPIs were older [62.0 (53.0-73.0 vs. 58.0 (50.0-70.0 years; p = 0.003] and had a more frequent history of stroke (4.9% vs. 1.1%; p = 0.004 than those from the non-PPI group, and presented no differences in any other clinical variable, including cardiovascular risk factors, ejection fraction, and therapy with aspirin and clopidogrel. Follow-up was 2.2±0.99 years. Seventy-eight patients met the primary outcome, 53 developed acute ischaemic events, and 33 HF or death. PPI use was an independent predictor of the primary outcome [hazard ratio (HR = 2.281 (1.244-4.183; p = 0.008], along with hypertension, body-mass index, glomerular filtration rate, atrial fibrillation, and nitrate use. PPI use was also an independent predictor of HF/death [HR = 5.713 (1.628-20.043; p = 0.007], but not of acute ischaemic events. A propensity score showed similar results.In patients with CAD, PPI use is independently associated with an increased incidence of HF and death but not with a high rate of acute ischaemic events. Further studies are needed to confirm these findings.

[Prediction of the side-cut product yield of atmospheric/vacuum distillation unit by NIR crude oil rapid assay].

Science.gov (United States)

Wang, Yan-Bin; Hu, Yu-Zhong; Li, Wen-Le; Zhang, Wei-Song; Zhou, Feng; Luo, Zhi

2014-10-01

In the present paper, based on the fast evaluation technique of near infrared, a method to predict the yield of atmos- pheric and vacuum line was developed, combined with H/CAMS software. Firstly, the near-infrared (NIR) spectroscopy method for rapidly determining the true boiling point of crude oil was developed. With commercially available crude oil spectroscopy da- tabase and experiments test from Guangxi Petrochemical Company, calibration model was established and a topological method was used as the calibration. The model can be employed to predict the true boiling point of crude oil. Secondly, the true boiling point based on NIR rapid assay was converted to the side-cut product yield of atmospheric/vacuum distillation unit by H/CAMS software. The predicted yield and the actual yield of distillation product for naphtha, diesel, wax and residual oil were compared in a 7-month period. The result showed that the NIR rapid crude assay can predict the side-cut product yield accurately. The near infrared analytic method for predicting yield has the advantages of fast analysis, reliable results, and being easy to online operate, and it can provide elementary data for refinery planning optimization and crude oil blending.

Clinical nurses' attitudes towards death and caring for dying patients in China.

Science.gov (United States)

Wang, Liping; Li, Chaxiang; Zhang, Qiongling; Li, YaJie

2018-01-02

To examine Chinese clinical nurses' attitudes towards death and caring for dying patients, and to examine the relationships between clinical nurses' attitudes towards death and caring for dying patients. A convenience sample of 770 clinical nurses from 15 hospitals in China. All participants completed the Chinese version of the Frommelt Attitude Toward Care of the Dying Scale, Form B (FATCOD-B-C), the Chinese version of the Death Attitude Profile-Revised (DAP-R-C), and a demographic questionnaire. The mean score of the FATCOD-B-C items was 95.62 (SD = 7.45). The majority of Chinese clinical nurses were likely to provide care for the dying person's family (mean = 3.77), but did not have a positive attitude towards communication with the dying person(mean = 2.62). The majority of Chinese clinical nurses showed low scores on death avoidance (mean=1.96) and natural acceptance (mean = 1.61), and most of them viewed death as a passageway to a happy afterlife (mean = 4.33). Attitudes towards caring for dying patients were significantly negatively correlated with fear of death (r = -0.120) and positively correlated with approach acceptance (r = 0.127) and natural acceptance (r = 0.117). Factors that predicted clinical nurses' attitudes towards the care of dying patients included education level, fear of death, approach acceptance, religious beliefs, previous education on death and dying, natural acceptance, professional title, and experience with death or dying patients, which accounted for 18.7% of the variance. Nurses' personal attitudes towards death were associated with their attitudes towards the care of dying patients. Training and educational programmes for clinical nurses should take into consideration nurses' personal attitudes towards death as well as their cultural backgrounds and religious beliefs.

Cod Gadus morhua and climate change: processes, productivity and prediction

DEFF Research Database (Denmark)

Brander, Keith

2010-01-01

the causes. Investigation of cod Gadus morhua populations across the whole North Atlantic Ocean has shown large-scale patterns of change in productivity due to lower individual growth and condition, caused by large-scale climate forcing. If a population is being heavily exploited then a drop in productivity......Environmental factors act on individual fishes directly and indirectly. The direct effects on rates and behaviour can be studied experimentally and in the field, particularly with the advent of ever smarter tags for tracking fishes and their environment. Indirect effects due to changes in food......, predators, parasites and diseases are much more difficult to estimate and predict. Climate can affect all life-history stages through direct and indirect processes and although the consequences in terms of growth, survival and reproductive output can be monitored, it is often difficult to determine...

Romo1 expression contributes to oxidative stress-induced death of lung epithelial cells

International Nuclear Information System (INIS)

Shin, Jung Ar; Chung, Jin Sil; Cho, Sang-Ho; Kim, Hyung Jung; Yoo, Young Do

2013-01-01

Highlights: •Romo1 mediates oxidative stress-induced mitochondrial ROS production. •Romo1 induction by oxidative stress plays an important role in oxidative stress-induced apoptosis. •Romo1 overexpression correlates with epithelial cell death in patients with IPF. -- Abstract: Oxidant-mediated death of lung epithelial cells due to cigarette smoking plays an important role in pathogenesis in lung diseases such as idiopathic pulmonary fibrosis (IPF). However, the exact mechanism by which oxidants induce epithelial cell death is not fully understood. Reactive oxygen species (ROS) modulator 1 (Romo1) is localized in the mitochondria and mediates mitochondrial ROS production through complex III of the mitochondrial electron transport chain. Here, we show that Romo1 mediates mitochondrial ROS production and apoptosis induced by oxidative stress in lung epithelial cells. Hydrogen peroxide (H 2 O 2 ) treatment increased Romo1 expression, and Romo1 knockdown suppressed the cellular ROS levels and cell death triggered by H 2 O 2 treatment. In immunohistochemical staining of lung tissues from patients with IPF, Romo1 was mainly localized in hyperplastic alveolar and bronchial epithelial cells. Romo1 overexpression was detected in 14 of 18 patients with IPF. TUNEL-positive alveolar epithelial cells were also detected in most patients with IPF but not in normal controls. These findings suggest that Romo1 mediates apoptosis induced by oxidative stress in lung epithelial cells

Romo1 expression contributes to oxidative stress-induced death of lung epithelial cells

Energy Technology Data Exchange (ETDEWEB)

Shin, Jung Ar [Department of Internal Medicine, Yonsei University College of Medicine, Yonsei University Health System, Seoul 135-270 (Korea, Republic of); Chung, Jin Sil [Laboratory of Molecular Cell Biology, College of Life Sciences and Biotechnology, Korea University, Seoul 136-713 (Korea, Republic of); Cho, Sang-Ho [Department of Pathology, Pochon CHA University, College of Medicine, Gyeonggi-do (Korea, Republic of); Kim, Hyung Jung, E-mail: khj57@yuhs.ac.kr [Department of Internal Medicine, Yonsei University College of Medicine, Yonsei University Health System, Seoul 135-270 (Korea, Republic of); Yoo, Young Do, E-mail: ydy1130@korea.ac.kr [Laboratory of Molecular Cell Biology, College of Life Sciences and Biotechnology, Korea University, Seoul 136-713 (Korea, Republic of)

2013-09-20

Highlights: •Romo1 mediates oxidative stress-induced mitochondrial ROS production. •Romo1 induction by oxidative stress plays an important role in oxidative stress-induced apoptosis. •Romo1 overexpression correlates with epithelial cell death in patients with IPF. -- Abstract: Oxidant-mediated death of lung epithelial cells due to cigarette smoking plays an important role in pathogenesis in lung diseases such as idiopathic pulmonary fibrosis (IPF). However, the exact mechanism by which oxidants induce epithelial cell death is not fully understood. Reactive oxygen species (ROS) modulator 1 (Romo1) is localized in the mitochondria and mediates mitochondrial ROS production through complex III of the mitochondrial electron transport chain. Here, we show that Romo1 mediates mitochondrial ROS production and apoptosis induced by oxidative stress in lung epithelial cells. Hydrogen peroxide (H{sub 2}O{sub 2}) treatment increased Romo1 expression, and Romo1 knockdown suppressed the cellular ROS levels and cell death triggered by H{sub 2}O{sub 2} treatment. In immunohistochemical staining of lung tissues from patients with IPF, Romo1 was mainly localized in hyperplastic alveolar and bronchial epithelial cells. Romo1 overexpression was detected in 14 of 18 patients with IPF. TUNEL-positive alveolar epithelial cells were also detected in most patients with IPF but not in normal controls. These findings suggest that Romo1 mediates apoptosis induced by oxidative stress in lung epithelial cells.

Deaths from international terrorism compared with road crash deaths in OECD countries.

Science.gov (United States)

Wilson, N; Thomson, G

2005-12-01

To estimate the relative number of deaths in member countries of the Organisation for Economic Co-operation and Development (OECD) from international terrorism and road crashes. Data on deaths from international terrorism (US State Department database) were collated (1994-2003) and compared to the road injury deaths (year 2000 and 2001 data) from the OECD International Road Transport Accident Database. In the 29 OECD countries for which comparable data were available, the annual average death rate from road injury was approximately 390 times that from international terrorism. The ratio of annual road to international terrorism deaths (averaged over 10 years) was lowest for the United States at 142 times. In 2001, road crash deaths in the US were equal to those from a September 11 attack every 26 days. There is a large difference in the magnitude of these two causes of deaths from injury. Policy makers need to be aware of this when allocating resources to preventing these two avoidable causes of mortality.

Spatiotemporal trends in Canadian domestic wild boar production and habitat predict wild pig distribution

DEFF Research Database (Denmark)

Michel, Nicole; Laforge, Michel; van Beest, Floris

2017-01-01

eradication of wild pigs is rarely feasible after establishment over large areas, effective management will depend on strengthening regulations and enforcement of containment practices for Canadian domestic wild boar farms. Initiation of coordinated provincial and federal efforts to implement population...... wild boar and test the propagule pressure hypothesis to improve predictive ability of an existing habitat-based model of wild pigs. We reviewed spatiotemporal patterns in domestic wild boar production across ten Canadian provinces during 1991–2011 and evaluated the ability of wild boar farm...... distribution to improve predictive models of wild pig occurrence using a resource selection probability function for wild pigs in Saskatchewan. Domestic wild boar production in Canada increased from 1991 to 2001 followed by sharp declines in all provinces. The distribution of domestic wild boar farms in 2006...

Caregiver Responsiveness to the Family Bereavement Program: What predicts responsiveness? What does responsiveness predict?

OpenAIRE

Schoenfelder, Erin N.; Sandler, Irwin N.; Millsap, Roger E.; Wolchik, Sharlene A.; Berkel, Cady; Ayers, Timothy S.

2013-01-01

The study developed a multi-dimensional measure to assess participant responsiveness to a preventive intervention, and applied this measure to study how participant baseline characteristics predict responsiveness and how responsiveness predicts program outcomes. The study was conducted with caregivers who participated in the parenting-focused component of the Family Bereavement Program (FBP), a prevention program for families that have experienced parental death. The sample consisted of 89 ca...

Sibling death and death fear in relation to depressive symptomatology in older adults.

Science.gov (United States)

Cicirelli, Victor G

2009-01-01

Previously overlooked factors in elders' depressive symptomatology were examined, including death fear, sibling death, and sibling closeness. Participants were 150 elders (61 men, 89 women) aged 65-97 years with at least one sibling. Measures were proportion of deceased siblings, sibling closeness, the Death Fear Subscale of the Death Attitude Profile-Revised, and the Center for Epidemiological Studies-Depression scale (20-item adult form). Age and education were exogenous variables in a structural equation model. Death fear, sibling closeness, and proportion of dead siblings were directly related to depression, with path coefficients of .42, -.24, and .13, respectively. Proportion of dead siblings had indirect effects on depression, as did age and education. Depressive symptomatology in old age is influenced by death fear related to sibling death as well as by poor relationships with them; it must be understood within a situational context including death fear and sibling relationships.

Non-natural manners of death among users of illicit drugs: Substance findings.

Science.gov (United States)

Delaveris, Gerd Jorunn M; Teige, Brita; Rogde, Sidsel

2014-05-01

The aim of the study was to explore differences and similarities between the various non-natural manners of death (accident, suicide, homicide) regarding toxicological findings in illicit drug users. Medicolegal autopsy reports from the Institute of Forensic Medicine University of Oslo concerning deaths from 2000 to 2009 were investigated. Those aged 20-59 whose manner of death was non-natural and who tested positive for any narcotic drug (morphine/heroin, amphetamines, ecstasy, cannabis, LSD, PCP, and high levels of GHB in addition to methadone and buprenorphine) were selected. All substance findings were registered and categorized (narcotics, ethanol, and medicinal products). Of the 1603 autopsies that met the selection criteria, 1204 were accidental intoxications, 122 accidents other than intoxication, 114 suicides by intoxication, 119 non-intoxication suicides, and 44 victims of homicide. Poly drug use was found in all manners of death. The drug profile as well as the mean number of substances (illicit drugs and medicinal products) varied from 2.9 to 4.6 substances per case, depending on the manner of death. Intoxication suicides had the highest number of substances and a total drug profile similar to accidental intoxications. Non-intoxication suicides had a total drug profile similar to homicide and accidents other than intoxication. The number of substances found per case increased during the decade, mainly due to increased findings of methadone, cannabis, amphetamines, and benzodiazepines. Methadone findings increased much more than buprenorphine. Methadone was found 20 times more often than buprenorphine in accidental intoxication cases. In summary, poly drug findings are common in adults who suffer a non-natural death while using illicit drugs. The different manners of death have some specific characteristics and significant differences regarding drug profile. Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

Perineural Invasion Predicts Increased Recurrence, Metastasis, and Death From Prostate Cancer Following Treatment With Dose-Escalated Radiation Therapy

International Nuclear Information System (INIS)

Feng, Felix Y.; Qian Yushen; Stenmark, Matthew H.; Halverson, Schuyler; Blas, Kevin; Vance, Sean; Sandler, Howard M.; Hamstra, Daniel A.

2011-01-01

Purpose: To assess the prognostic value of perineural invasion (PNI) for patients treated with dose-escalated external-beam radiation therapy for prostate cancer. Methods and Materials: Outcomes were analyzed for 651 men treated for prostate cancer with EBRT to a minimum dose ≥75 Gy. We assessed the impact of PNI as well as pretreatment and treatment-related factors on freedom from biochemical failure (FFBF), freedom from metastasis (FFM), cause-specific survival (CSS), and overall survival. Results: PNI was present in 34% of specimens at biopsy and was significantly associated with higher Gleason score (GS), T stage, and prostate-specific antigen level. On univariate and multivariate analysis, the presence of PNI was associated with worse FFBF (hazard ratio = 1.7, p <0.006), FFM (hazard ratio = 1.8, p <0.03), and CSS (HR = 1.4, p <0.05) compared with absence of PNI; there was no difference in overall survival. Seven-year rates of FFBF, FFM, and CCS were 64% vs. 80%, 84% vs. 92%, and 91% vs. 95% for those patients with and without PNI, respectively. On recursive partitioning analysis, PNI predicted for worse FFM and CSS in patients with GS 8–10, with FFM of 67% vs. 89% (p <0.02), and CSS of 69% vs. 91%, (p <0.04) at 7 years for those with and without PNI, respectively. Conclusions: The presence of PNI in the prostate biopsy predicts worse clinical outcome for patients treated with dose-escalated external-beam radiation therapy. Particularly in patients with GS 8–10 disease, the presence of PNI suggests an increased risk of metastasis and prostate cancer death.

Perineural Invasion Predicts Increased Recurrence, Metastasis, and Death From Prostate Cancer Following Treatment With Dose-Escalated Radiation Therapy

Energy Technology Data Exchange (ETDEWEB)

Feng, Felix Y. [University of Michigan Medical Center, Ann Arbor, MI (United States); Ann Arbor Veteran Affairs Medical System, Ann Arbor, MI (United States); Qian Yushen; Stenmark, Matthew H.; Halverson, Schuyler; Blas, Kevin; Vance, Sean [University of Michigan Medical Center, Ann Arbor, MI (United States); Sandler, Howard M. [Cedars Sinai Medical System, Los Angeles, CA (United States); Hamstra, Daniel A., E-mail: dhamm@med.umich.edu [University of Michigan Medical Center, Ann Arbor, MI (United States)

2011-11-15

Purpose: To assess the prognostic value of perineural invasion (PNI) for patients treated with dose-escalated external-beam radiation therapy for prostate cancer. Methods and Materials: Outcomes were analyzed for 651 men treated for prostate cancer with EBRT to a minimum dose {>=}75 Gy. We assessed the impact of PNI as well as pretreatment and treatment-related factors on freedom from biochemical failure (FFBF), freedom from metastasis (FFM), cause-specific survival (CSS), and overall survival. Results: PNI was present in 34% of specimens at biopsy and was significantly associated with higher Gleason score (GS), T stage, and prostate-specific antigen level. On univariate and multivariate analysis, the presence of PNI was associated with worse FFBF (hazard ratio = 1.7, p <0.006), FFM (hazard ratio = 1.8, p <0.03), and CSS (HR = 1.4, p <0.05) compared with absence of PNI; there was no difference in overall survival. Seven-year rates of FFBF, FFM, and CCS were 64% vs. 80%, 84% vs. 92%, and 91% vs. 95% for those patients with and without PNI, respectively. On recursive partitioning analysis, PNI predicted for worse FFM and CSS in patients with GS 8-10, with FFM of 67% vs. 89% (p <0.02), and CSS of 69% vs. 91%, (p <0.04) at 7 years for those with and without PNI, respectively. Conclusions: The presence of PNI in the prostate biopsy predicts worse clinical outcome for patients treated with dose-escalated external-beam radiation therapy. Particularly in patients with GS 8-10 disease, the presence of PNI suggests an increased risk of metastasis and prostate cancer death.

A CBR-Based and MAHP-Based Customer Value Prediction Model for New Product Development

Science.gov (United States)

Zhao, Yu-Jie; Luo, Xin-xing; Deng, Li

2014-01-01

In the fierce market environment, the enterprise which wants to meet customer needs and boost its market profit and share must focus on the new product development. To overcome the limitations of previous research, Chan et al. proposed a dynamic decision support system to predict the customer lifetime value (CLV) for new product development. However, to better meet the customer needs, there are still some deficiencies in their model, so this study proposes a CBR-based and MAHP-based customer value prediction model for a new product (C&M-CVPM). CBR (case based reasoning) can reduce experts' workload and evaluation time, while MAHP (multiplicative analytic hierarchy process) can use actual but average influencing factor's effectiveness in stimulation, and at same time C&M-CVPM uses dynamic customers' transition probability which is more close to reality. This study not only introduces the realization of CBR and MAHP, but also elaborates C&M-CVPM's three main modules. The application of the proposed model is illustrated and confirmed to be sensible and convincing through a stimulation experiment. PMID:25162050

Failure criterion effect on solid production prediction and selection of completion solution

Directory of Open Access Journals (Sweden)

Dariush Javani

2017-12-01

Full Text Available Production of fines together with reservoir fluid is called solid production. It varies from a few grams or less per ton of reservoir fluid posing only minor problems, to catastrophic amount possibly leading to erosion and complete filling of the borehole. This paper assesses solid production potential in a carbonate gas reservoir located in the south of Iran. Petrophysical logs obtained from the vertical well were employed to construct mechanical earth model. Then, two failure criteria, i.e. Mohr–Coulomb and Mogi–Coulomb, were used to investigate the potential of solid production of the well in the initial and depleted conditions of the reservoir. Using these two criteria, we estimated critical collapse pressure and compared them to the reservoir pressure. Solid production occurs if collapse pressure is greater than pore pressure. Results indicate that the two failure criteria show different estimations of solid production potential of the studied reservoir. Mohr–Coulomb failure criterion estimated solid production in both initial and depleted conditions, where Mogi–Coulomb criterion predicted no solid production in the initial condition of reservoir. Based on Mogi–Coulomb criterion, the well may not require completion solutions like perforated liner, until at least 60% of reservoir pressure was depleted which leads to decrease in operation cost and time.

Lifetime competing risks between coronary heart disease mortality and other causes of death during 50years of follow-up.

Science.gov (United States)

Puddu, Paolo Emilio; Piras, Paolo; Menotti, Alessandro

2017-02-01

To study coronary heart disease (CHD) death versus 11 other causes of death using the cumulative incidence function (CIF) and the competing risks procedures to disentangle the differential role of risk factors for different end-points. Standard Cox and Fine-Gray models among 1712 middle-aged men were compared during 50years of follow-up. CHD death was the primary event, while deaths from 11 selected causes, mutually exclusive from the primary end-point, were considered as secondary events. Reverse solutions were also performed. We considered 10 selected risk factors. CHD death risk was the second highest among 12 mostly specific causes of death. Some risk factors were specific: serum cholesterol for CHD death whereas, systolic blood pressure, cigarette smoking and age may have a differential role in other causes of death. Application of the Fine-Gray model based on CIF enabled to dissect, at least in part, the respective role that baseline covariates may have to segregate the probabilities of two types of death in contrast from each other. They also point to the absence of contributing significance for some of the selected risk factors and this calls for a parsimonious approach in predictions. The relative rarity of competing risk challenges when defining the risk factors role at long-term needs now be corrected since we have clearly shown, with Fine-Gray model, at direct or reverse use, that comparing different end-points heavily influences the risk factor predictive capacity. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Multivariable model predictive control design of reactive distillation column for Dimethyl Ether production

Science.gov (United States)

Wahid, A.; Putra, I. G. E. P.

2018-03-01

Dimethyl ether (DME) as an alternative clean energy has attracted a growing attention in the recent years. DME production via reactive distillation has potential for capital cost and energy requirement savings. However, combination of reaction and distillation on a single column makes reactive distillation process a very complex multivariable system with high non-linearity of process and strong interaction between process variables. This study investigates a multivariable model predictive control (MPC) based on two-point temperature control strategy for the DME reactive distillation column to maintain the purities of both product streams. The process model is estimated by a first order plus dead time model. The DME and water purity is maintained by controlling a stage temperature in rectifying and stripping section, respectively. The result shows that the model predictive controller performed faster responses compared to conventional PI controller that are showed by the smaller ISE values. In addition, the MPC controller is able to handle the loop interactions well.

Sudden death involving inhalation of 1,1-difluoroethane (HFC-152a) with spray cleaner: three case reports.

Science.gov (United States)

Sakai, Kentaro; Maruyama-Maebashi, Kyoko; Takatsu, Akihiro; Fukui, Kenji; Nagai, Tomonori; Aoyagi, Miwako; Ochiai, Eriko; Iwadate, Kimiharu

2011-03-20

Spray cleaner is a cleaning product containing compressed 1,1-difluoroethane (HFC-152a) to blow dust off electric devices and other sensitive equipment; however, it is also inhaled to induce euphoria. This report describes three cases of death involving HFC-152a inhalation with spray cleaner under different circumstances. In case 1, death was during inhalation for euphoria with which led to having frostbite. In case 2, death may have been associated with suicidal intention. Case 3 was also considered an accidental autoerotic death. In all three cases, HFC-152a was detected at 99.2-136.2mg/l in blood samples, 94.5-191.9 mg/l in urine samples and 3.6-18.4 mg in the gastric contents according to gas chromatography with flame ionization detection. To prevent death associated with HFC-152a inhalation from spray cleaner, the danger of the sudden death should be announced to people, given the ready availability of commercial products containing HFC-152a. Copyright © 2010 Elsevier Ireland Ltd. All rights reserved.

Prediction of Pig Trade Movements in Different European Production Systems Using Exponential Random Graph Models.

Science.gov (United States)

Relun, Anne; Grosbois, Vladimir; Alexandrov, Tsviatko; Sánchez-Vizcaíno, Jose M; Waret-Szkuta, Agnes; Molia, Sophie; Etter, Eric Marcel Charles; Martínez-López, Beatriz

2017-01-01

In most European countries, data regarding movements of live animals are routinely collected and can greatly aid predictive epidemic modeling. However, the use of complete movements' dataset to conduct policy-relevant predictions has been so far limited by the massive amount of data that have to be processed (e.g., in intensive commercial systems) or the restricted availability of timely and updated records on animal movements (e.g., in areas where small-scale or extensive production is predominant). The aim of this study was to use exponential random graph models (ERGMs) to reproduce, understand, and predict pig trade networks in different European production systems. Three trade networks were built by aggregating movements of pig batches among premises (farms and trade operators) over 2011 in Bulgaria, Extremadura (Spain), and Côtes-d'Armor (France), where small-scale, extensive, and intensive pig production are predominant, respectively. Three ERGMs were fitted to each network with various demographic and geographic attributes of the nodes as well as six internal network configurations. Several statistical and graphical diagnostic methods were applied to assess the goodness of fit of the models. For all systems, both exogenous (attribute-based) and endogenous (network-based) processes appeared to govern the structure of pig trade network, and neither alone were capable of capturing all aspects of the network structure. Geographic mixing patterns strongly structured pig trade organization in the small-scale production system, whereas belonging to the same company or keeping pigs in the same housing system appeared to be key drivers of pig trade, in intensive and extensive production systems, respectively. Heterogeneous mixing between types of production also explained a part of network structure, whichever production system considered. Limited information is thus needed to capture most of the global structure of pig trade networks. Such findings will be useful

'Natural' and 'Unnatural' medical deaths and coronial law: A UK and international review of the medical literature on natural and unnatural death and how it applies to medical death certification and reporting deaths to coroners: Natural/Unnatural death: A Scientific Review.

Science.gov (United States)

Harris, Andrew

2017-07-01

In the United Kingdom, when people die, either a doctor writes an acceptable natural cause of death medical certificate, or a coroner (fiscal in Scotland) investigates the case, usually with an autopsy. An inquest may or may not follow. The concept of 'natural or unnatural cause' death is not internationally standardized. This article reviews scientific evidence as to what is a natural death or unnatural death and how that relates to the international classification of deaths. Whilst there is some consensus on the definition, its application in considering whether to report to the coroner is more difficult. Depictions of deaths in terminal care, medical emergencies and post-operative care highlight these difficulties. It secondly reviews to what extent natural and unnatural are criteria for notification of deaths in England and Wales and internationally. It concludes with consideration of how medical concepts of unnatural death relate in England and Wales to coroners' legal concepts of what is unnatural. Deaths that appear natural to clinicians and pathologists may be legally unnatural and vice versa. It is argued that the natural/unnatural dichotomy is not a good criterion for reporting deaths under medical care to coroners, but the notification of a medical cause of death, using the International Classification of Disease Codes and the medical professional view as to whether it is scientifically natural, is of great value to the coroner in deciding whether it is legally unnatural.

Induction of reactive oxygen intermediates-dependent programmed cell death in human malignant ex vivo glioma cells and inhibition of the vascular endothelial growth factor production by taurolidine.

Science.gov (United States)

Rodak, Roksana; Kubota, Hisashi; Ishihara, Hideyuki; Eugster, Hans-Pietro; Könü, Dilek; Möhler, Hanns; Yonekawa, Yasuhiro; Frei, Karl

2005-06-01

Taurolidine, a derivative of the amino acid taurin, was recently found to display a potent antineoplastic effect both in vitro and in vivo. The authors therefore initiated studies to assess the potential antineoplastic activity of taurolidine in human glioma cell lines and in ex vivo malignant cell cultures. They also studied the mechanisms that induce cell death and the impact of taurolidine on tumor-derived vascular endothelial growth factor (VEGF) production. Cytotoxicity and clonogenic assays were performed using crystal violet staining. In the cytotoxicity assay 100% of glioma cell lines (eight of eight) and 74% of ex vivo glioma cultures (14 of 19) demonstrated sensitivity to taurolidine, with a mean median effective concentration (EC50) of 51 +/- 28 microg/ml and 56 +/- 23 microg/ml, respectively. Colony formation was inhibited by taurolidine, with a mean EC50 of 7 +/- 3 microg/ml for the cell lines and a mean EC50 of 3.5 +/- 1.7 microg/ml for the ex vivo glioma cultures. On observing this high activity of taurolidine in both assays, the authors decided to evaluate its cell death mechanisms. Fragmentation of DNA, externalization of phosphatidylserine, activation of poly(adenosine diphosphate-ribose) polymerase, loss of the mitochondrial membrane potential followed by a release of apoptosis-inducing factor, and typical apoptotic features were found after taurolidine treatment. Cell death was preceded by the generation of reactive O2 intermediates, which was abrogated by N-acetylcysteine but not by benzyloxycarbonyl-Val-Ala-Asp-fluoromethylketone. Moreover, taurolidine also induced suppression of VEGF production on the protein and messenger RNA level, as shown by an enzyme-linked immunosorbent assay and by reverse transcription-polymerase chain reaction. Given all these findings, taurolidine may be a promising new agent in the treatment of malignant gliomas; it displays a combination of antineoplastic and antiangiogenic activities, inducing tumor cell

Epilepsy and risk of death and sudden unexpected death in the young

DEFF Research Database (Denmark)

Holst, Anders Gaarsdal; Winkel, Bo Gregers; Risgaard, Bjarke

2013-01-01

Patients with epilepsy are at increased risk of premature death from all causes and likely also from sudden unexplained death (SUD). Many patients with epilepsy have significant comorbidity, and it is unclear how much of the increased risk can be explained by epilepsy itself. We aimed to chart...... the incidence of sudden unexpected death in epilepsy (SUDEP) and estimate the risk of death from all causes and SUD conferred by epilepsy independently....

The Bi-Directional Prediction of Carbon Fiber Production Using a Combination of Improved Particle Swarm Optimization and Support Vector Machine.

Science.gov (United States)

Xiao, Chuncai; Hao, Kuangrong; Ding, Yongsheng

2014-12-30

This paper creates a bi-directional prediction model to predict the performance of carbon fiber and the productive parameters based on a support vector machine (SVM) and improved particle swarm optimization (IPSO) algorithm (SVM-IPSO). In the SVM, it is crucial to select the parameters that have an important impact on the performance of prediction. The IPSO is proposed to optimize them, and then the SVM-IPSO model is applied to the bi-directional prediction of carbon fiber production. The predictive accuracy of SVM is mainly dependent on its parameters, and IPSO is thus exploited to seek the optimal parameters for SVM in order to improve its prediction capability. Inspired by a cell communication mechanism, we propose IPSO by incorporating information of the global best solution into the search strategy to improve exploitation, and we employ IPSO to establish the bi-directional prediction model: in the direction of the forward prediction, we consider productive parameters as input and property indexes as output; in the direction of the backward prediction, we consider property indexes as input and productive parameters as output, and in this case, the model becomes a scheme design for novel style carbon fibers. The results from a set of the experimental data show that the proposed model can outperform the radial basis function neural network (RNN), the basic particle swarm optimization (PSO) method and the hybrid approach of genetic algorithm and improved particle swarm optimization (GA-IPSO) method in most of the experiments. In other words, simulation results demonstrate the effectiveness and advantages of the SVM-IPSO model in dealing with the problem of forecasting.

The Bi-Directional Prediction of Carbon Fiber Production Using a Combination of Improved Particle Swarm Optimization and Support Vector Machine

Directory of Open Access Journals (Sweden)

Chuncai Xiao

2014-12-01

Full Text Available This paper creates a bi-directional prediction model to predict the performance of carbon fiber and the productive parameters based on a support vector machine (SVM and improved particle swarm optimization (IPSO algorithm (SVM-IPSO. In the SVM, it is crucial to select the parameters that have an important impact on the performance of prediction. The IPSO is proposed to optimize them, and then the SVM-IPSO model is applied to the bi-directional prediction of carbon fiber production. The predictive accuracy of SVM is mainly dependent on its parameters, and IPSO is thus exploited to seek the optimal parameters for SVM in order to improve its prediction capability. Inspired by a cell communication mechanism, we propose IPSO by incorporating information of the global best solution into the search strategy to improve exploitation, and we employ IPSO to establish the bi-directional prediction model: in the direction of the forward prediction, we consider productive parameters as input and property indexes as output; in the direction of the backward prediction, we consider property indexes as input and productive parameters as output, and in this case, the model becomes a scheme design for novel style carbon fibers. The results from a set of the experimental data show that the proposed model can outperform the radial basis function neural network (RNN, the basic particle swarm optimization (PSO method and the hybrid approach of genetic algorithm and improved particle swarm optimization (GA-IPSO method in most of the experiments. In other words, simulation results demonstrate the effectiveness and advantages of the SVM-IPSO model in dealing with the problem of forecasting.

AN AUDIT OF MATERNAL DEATHS

Directory of Open Access Journals (Sweden)

Basavana Gowda

2015-03-01

Full Text Available OBJECTIVES: A study of maternal death conducted to evaluate various factors responsible for maternal deaths. To identify complications in pregnancy, a childbirth which result in maternal death, and to identify opportunities for preventive intervention and understand the events leading to death; so that improving maternal health and reducing maternal mortality rate significantly. To analyze the causes and epidemiological amounts maternal mortality e.g. age parity, socioeconomic status and literacy. In order to reduce maternal mortality and to implement safe motherhood program and complications of pregnancy and to find out safe motherhood program. METHODS: The data collected was a retrograde by a proforma containing particulars of the diseased, detailed history and relatives were interviewed for additional information. The data collected was analysed. RESULTS: Maternal mortality rate in our own institution is 200/ 100,000 live births. Among 30 maternal deaths, 56% deaths (17 were among low socio - economic status, groups 60% deaths among unbooked 53.5% deaths more along illiterates evidenced by direct and indirect deaths about 25% of deaths were preventable. CONCLUSION: Maternal death is a great tragedy in the family life. It is crusade to know not just the medical cause of the death but the circumstances what makes these continued tragic death even more unacceptable is that deaths are largely preventable

Characterization of the programmed cell death induced by metabolic products of Alternaria alternata in tobacco BY-2 cells.

Science.gov (United States)

Cheng, Dan-Dan; Jia, Yu-Jiao; Gao, Hui-Yuan; Zhang, Li-Tao; Zhang, Zi-Shan; Xue, Zhong-Cai; Meng, Qing-Wei

2011-02-01

Alternaria alternata has received considerable attention in current literature and most of the studies are focused on its pathogenic effects on plant chloroplasts, but little is known about the characteristics of programmed cell death (PCD) induced by metabolic products (MP) of A. alternata, the effects of the MP on mitochondrial respiration and its relation to PCD. The purpose of this study was to explore the mechanism of MP-induced PCD in non-green tobacco BY-2 cells and to explore the role of mitochondrial inhibitory processes in the PCD of tobacco BY-2 cells. MP treatment led to significant cell death that was proven to be PCD by the concurrent cytoplasm shrinkage, chromatin condensation and DNA laddering observed in the cells. Moreover, MP treatment resulted in the overproduction of reactive oxygen species (ROS), rapid ATP depletion and a respiratory decline in the tobacco BY-2 cells. It was concluded that the direct inhibition of the mitochondrial electron transport chain (ETC), alternative pathway (AOX) capacity and catalase (CAT) activity by the MP might be the main contributors to the MP-induced ROS burst observed in tobacco BY-2 cells. The addition of adenosine together with the MP significantly inhibited ATP depletion without preventing PCD; however, when the cells were treated with the MP plus CAT, ROS overproduction was blocked and PCD did not occur. The data presented here demonstrate that the ROS burst played an important role in MP-induced PCD in the tobacco BY-2 cells.

Mathematical model for predicting molecular-beam epitaxy growth rates for wafer production

International Nuclear Information System (INIS)

Shi, B.Q.

2003-01-01

An analytical mathematical model for predicting molecular-beam epitaxy (MBE) growth rates is reported. The mathematical model solves the mass-conservation equation for liquid sources in conical crucibles and predicts the growth rate by taking into account the effect of growth source depletion on the growth rate. Assumptions made for deducing the analytical model are discussed. The model derived contains only one unknown parameter, the value of which can be determined by using data readily available to MBE growers. Procedures are outlined for implementing the model in MBE production of III-V compound semiconductor device wafers. Results from use of the model to obtain targeted layer compositions and thickness of InP-based heterojunction bipolar transistor wafers are presented

Migrant deaths at the Arizona-Mexico border: Spatial trends of a mass disaster.

Science.gov (United States)

Giordano, Alberto; Spradley, M Katherine

2017-11-01

Geographic Information Science (GIScience) technology has been used to document, investigate, and predict patterns that may be of utility in both forensic academic research and applied practice. In examining spatial and temporal trends of the mass disaster that is occurring along the U.S.-Mexico border, other researchers have highlighted predictive patterns for search and recovery efforts as well as water station placement. The purpose of this paper is to use previously collected spatial data of migrant deaths from Arizona to address issues of data uncertainty and data accuracy that affect our understanding of this phenomenon, including local and federal policies that impact the U.S.-Mexico border. The main objective of our study was to explore how the locations of migrant deaths have varied over time. Our results confirm patterns such as a lack of relationship between Border Patrol apprehensions and migrant deaths, as well as highlight new patterns such as the increased positional accuracy of migrant deaths recorded closer to the border. This paper highlights the importance of using positionally accurate data to detect spatio-temporal trends in forensic investigations of mass disasters: without qualitative and quantitative information concerning the accuracy of the data collected, the reliability of the results obtained remains questionable. We conclude by providing a set of guidelines for standardizing the collection and documentation of migrant remains at the U.S.-Mexico border. Copyright © 2017 Elsevier B.V. All rights reserved.

Death and consciousness--an overview of the mental and cognitive experience of death.

Science.gov (United States)

Parnia, Sam

2014-11-01

Advances in resuscitation science have indicated that, contrary to perception, death by cardiorespiratory criteria can no longer be considered a specific moment but rather a potentially reversible process that occurs after any severe illness or accident causes the heart, lungs, and brain to stop functioning. The resultant loss of vital signs of life (and life processes) is used to declare a specific time of death by physicians globally. When medical attempts are made to reverse this process, it is commonly referred to as cardiac arrest; however, when these attempts do not succeed or when attempts are not made, it is called death by cardiorespiratory criteria. Thus, biologically speaking, cardiac arrest and death by cardiorespiratory criteria are synonymous. While resuscitation science has provided novel opportunities to reverse death by cardiorespiratory criteria and treat the potentially devastating consequences of the resultant postresuscitation syndrome, it has also inadvertently provided intriguing insights into the likely mental and cognitive experience of death. Recollections reported by millions of people in relation to death, so-called out-of-body experiences (OBEs) or near-death experiences (NDEs), are often-discussed phenomena that are frequently considered hallucinatory or illusory in nature; however, objective studies on these experiences are limited. To date, many consistent themes corresponding to the likely experience of death have emerged, and studies have indicated that the scientifically imprecise terms of NDE and OBE may not be sufficient to describe the actual experience of death. While much remains to be discovered, the recalled experience surrounding death merits a genuine scientific investigation without prejudice. © 2014 New York Academy of Sciences.

Surveillance for Violent Deaths - National Violent Death Reporting System, 17 States, 2013.

Science.gov (United States)

Lyons, Bridget H; Fowler, Katherine A; Jack, Shane P D; Betz, Carter J; Blair, Janet M

2016-08-19

In 2013, more than 57,000 persons died in the United States as a result of violence-related injuries. This report summarizes data from CDC's National Violent Death Reporting System (NVDRS) regarding violent deaths from 17 U.S. states for 2013. Results are reported by sex, age group, race/ethnicity, marital status, location of injury, method of injury, circumstances of injury, and other selected characteristics. 2013. NVDRS collects data from participating states regarding violent deaths obtained from death certificates, coroner/medical examiner reports, law enforcement reports, and secondary sources (e.g., child fatality review team data, supplemental homicide reports, hospital data, and crime laboratory data). This report includes data from 17 states that collected statewide data for 2013 (Alaska, Colorado, Georgia, Kentucky, Maryland, Massachusetts, North Carolina, New Jersey, New Mexico, Ohio, Oklahoma, Oregon, Rhode Island, South Carolina, Utah, Virginia, and Wisconsin). NVDRS collates documents for each death and links deaths that are related (e.g., multiple homicides, a homicide followed by a suicide, or multiple suicides) from a single incident. For 2013, a total of 18,765 fatal incidents involving 19,251 deaths were captured by NVDRS in the 17 states included in this report. The majority (66.2%) of deaths were suicides, followed by homicides (23.2%), deaths of undetermined intent (8.8%), deaths involving legal intervention (1.2%) (i.e., deaths caused by law enforcement and other persons with legal authority to use deadly force, excluding legal executions), and unintentional firearm deaths (Revision [ICD-10] and does not denote the lawfulness or legality of the circumstances surrounding a death caused by law enforcement.) Suicides occurred at higher rates among males, non-Hispanic whites, American Indian/Alaska Natives, persons aged 45-64 years, and males aged ≥75 years. Suicides were preceded primarily by a mental health, intimate partner, or physical

Performance Comparison Between Support Vector Regression and Artificial Neural Network for Prediction of Oil Palm Production

Directory of Open Access Journals (Sweden)

Mustakim Mustakim

2016-02-01

Full Text Available The largest region that produces oil palm in Indonesia has an important role in improving the welfare of society and economy. Oil palm has increased significantly in Riau Province in every period, to determine the production development for the next few years with the functions and benefits of oil palm carried prediction production results that were seen from time series data last 8 years (2005-2013. In its prediction implementation, it was done by comparing the performance of Support Vector Regression (SVR method and Artificial Neural Network (ANN. From the experiment, SVR produced the best model compared with ANN. It is indicated by the correlation coefficient of 95% and 6% for MSE in the kernel Radial Basis Function (RBF, whereas ANN produced only 74% for R2 and 9% for MSE on the 8th experiment with hiden neuron 20 and learning rate 0,1. SVR model generates predictions for next 3 years which increased between 3% - 6% from actual data and RBF model predictions.

Dead or Alive? Using Membrane Failure and Chlorophyll a Fluorescence to Predict Plant Mortality from Drought.

Science.gov (United States)

Guadagno, Carmela R; Ewers, Brent E; Speckman, Heather N; Aston, Timothy Llewellyn; Huhn, Bridger J; DeVore, Stanley B; Ladwig, Joshua T; Strawn, Rachel N; Weinig, Cynthia

2017-09-01

Climate models predict widespread increases in both drought intensity and duration in the next decades. Although water deficiency is a significant determinant of plant survival, limited understanding of plant responses to extreme drought impedes forecasts of both forest and crop productivity under increasing aridity. Drought induces a suite of physiological responses; however, we lack an accurate mechanistic description of plant response to lethal drought that would improve predictive understanding of mortality under altered climate conditions. Here, proxies for leaf cellular damage, chlorophyll a fluorescence, and electrolyte leakage were directly associated with failure to recover from drought upon rewatering in Brassica rapa (genotype R500) and thus define the exact timing of drought-induced death. We validated our results using a second genotype (imb211) that differs substantially in life history traits. Our study demonstrates that whereas changes in carbon dynamics and water transport are critical indicators of drought stress, they can be unrelated to visible metrics of mortality, i.e. lack of meristematic activity and regrowth. In contrast, membrane failure at the cellular scale is the most proximate cause of death. This hypothesis was corroborated in two gymnosperms ( Picea engelmannii and Pinus contorta ) that experienced lethal water stress in the field and in laboratory conditions. We suggest that measurement of chlorophyll a fluorescence can be used to operationally define plant death arising from drought, and improved plant characterization can enhance surface model predictions of drought mortality and its consequences to ecosystem services at a global scale. © 2017 American Society of Plant Biologists. All Rights Reserved.

Sudden cardiac death

Directory of Open Access Journals (Sweden)

Neeraj Parakh

2015-01-01

Full Text Available Sudden cardiac death is one of the most common cause of mortality worldwide. Despite significant advances in the medical science, there is little improvement in the sudden cardiac death related mortality. Coronary artery disease is the most common etiology behind sudden cardiac death, in the above 40 years population. Even in the apparently healthy population, there is a small percentage of patients dying from sudden cardiac death. Given the large denominator, this small percentage contributes to the largest burden of sudden cardiac death. Identification of this at risk group among the apparently healthy individual is a great challenge for the medical fraternity. This article looks into the causes and methods of preventing SCD and at some of the Indian data. Details of Brugada syndrome, Long QT syndrome, Genetics of SCD are discussed. Recent guidelines on many of these causes are summarised.

Validation of the mortality prediction equation for damage control ...

African Journals Online (AJOL)

, preoperative lowest pH and lowest core body temperature to derive an equation for the purpose of predicting mortality in damage control surgery. It was shown to reliably predict death despite damage control surgery. The equation derivation ...

Preliminary study of death anxiety of believers versus percipients of the paranormal.

Science.gov (United States)

Houran, J

1997-02-01

This research tested the hypotheses that belief in the paranormal is associated with a lessening of death anxiety and that direct experiences of the paranormal are stronger correlates with less fear than the stated belief. Contrary to predictions, scores on Templer's 1970 Death Anxiety Scale were not associated with scores on either Belief in the Paranormal or Paranormal Experiences, subscales of the Anomalous Experiences Inventory. Instead, significant sex differences were found on three out of the five subscales which indicate a need to clarify possible sex-specific variables in the perception and report of anomalous phenomena by 14 men and 19 women.

Signs Indicating Imminent Death in Escherichia coli-Infected Broilers.

Science.gov (United States)

Matthijs, M G R; Nieuwenhuis, J F; Dwars, R M

2017-09-01

Broilers were observed during 9 days for clinical signs after intratracheal inoculation at 8 days of age with 10 7 E. coli 506. It was determined if these signs were predictive for imminent death. Hourly observations were made daily from a distance of 1-2 m and nightly by camera observation, with respect to the following parameters: level of attention, locomotory activity, posture and appearance, interaction, and impairment of respiration. For deviations of the normal state for these five parameters (i.e., typical clinical signs of disease), scores were defined in up to four classes. The periods of time elapsing from attaining a score for the first time to death were registered per bird for each score for each parameter. Of 114 birds, 85 did not present typical signs of illness as described, and 29 presented the following clinical history: 25 died after presenting signs of illness, 2 died without previous signs, 1 fell ill but survived, and 1 fell ill and recovered. Extended clinical examination was performed in birds presenting clinical signs; temperature, heart rate, respiratory rate, and subcutaneous capillary refill time were measured. The level of attention, and posture and appearance were affected most often in ill birds; 25% of these birds died within 5 and 4 hr, respectively; 50% died within 12 hr; and 75% died within 20 and 19 hr, respectively. Any of these typical signs of illness visible from 1-2 m indicated imminent death, with 75% of the birds dying within 20 hr. Measurements resulting from extended clinical examination proved of lesser predictive value. From these observations, a protocol for intervention to prevent animal suffering may be designed.

Manufactering of par-fried french-fries. Part 3: a blueprint to predict the maximum production yield

NARCIS (Netherlands)

Somsen, D.J.; Capelle, A.; Tramper, J.

2004-01-01

Very little research on the production yield of par-fried French-fries has been reported in the literature. This paper bridges the knowledge gap and outlines the development of a model to predict the maximum production yield of par-fried French-fries. This yield model can be used to calculate the

Death with dignity

Science.gov (United States)

Allmark, P.

2002-01-01

The purpose of this article is to develop a conception of death with dignity and to examine whether it is vulnerable to the sort of criticisms that have been made of other conceptions. In this conception "death" is taken to apply to the process of dying; "dignity" is taken to be something that attaches to people because of their personal qualities. In particular, someone lives with dignity if they live well (in accordance with reason, as Aristotle would see it). It follows that health care professionals cannot confer on patients either dignity or death with dignity. They can, however, attempt to ensure that the patient dies without indignity. Indignities are affronts to human dignity, and include such things as serious pain and the exclusion of patients from involvement in decisions about their lives and deaths. This fairly modest conception of death with dignity avoids the traps of being overly subjective or of viewing the sick and helpless as "undignified". PMID:12161582

Guidelines for prediction of CO{sub 2} corrosion in oil and gas production systems

Energy Technology Data Exchange (ETDEWEB)

Nyborg, Rolf

2009-09-15

A group of corrosion experts from different oil companies has prepared guidelines for use of CO{sub 2} corrosion prediction tools. The guidelines are intended for use in design and engineering practice applied by companies operating oil and gas production facilities. This document attempts to set minimum guidelines that should be common to most companies. The document is sufficiently flexible to allow individual companies to adapt the information set forth in this document to their own environment and requirements. A methodology for defining the Iikelihood of corrosion and the impact on CO{sub 2} prediction is developed. The CO{sub 2} prediction is based on existing tools. An overview of available CO{sub 2} corrosion prediction models evaluated by the participants is given. It is the responsibility of the operator to select which model to use. (Author)

Risk Factors for Maternal Deaths in Unplanned Obstetric Admissions ...

African Journals Online (AJOL)

... (37.5%), and respiratory distress (12.5%). There were 12 deaths (48%). Organ dysfunction on admission, massive blood loss and late presentation were the risk factors for mortality. The high maternal mortality was mainly due to limited supply of blood products and inadequate prenatal care resulting in disease severity.

Eyelid closure at death

Directory of Open Access Journals (Sweden)

A D Macleod

2009-01-01

Full Text Available Aim: To observe the incidence of full or partial eyelid closure at death. Materials and Methods: The presence of ptosis was recorded in 100 consecutive hospice patient deaths. Results: Majority (63% of the patients died with their eyes fully closed, however, 37% had bilateral ptosis at death, with incomplete eye closure. In this study, central nervous system tumor involvement and/or acute hepatic encephalopathy appeared to be pre-mortem risk factors of bilateral ptosis at death. Conclusion: Organicity and not psychogenicity is, therefore, the likely etiology of failure of full eyelid closure at death.

Existential Concerns About Death

DEFF Research Database (Denmark)

Moestrup, Lene; Hansen, Helle Ploug

2015-01-01

psychology or Kübler-Ross’ theory about death stages. The complex concerns might be explained using Martin Heidegger’s phenomenological thinking. We aimed to illuminate dying patients´ existential concerns about the impending death through a descriptive analysis of semi-structured interviews with 17 cancer...... patients in Danish hospices. The main findings demonstrated how the patients faced the forthcoming death without being anxious of death but sorrowful about leaving life. Furthermore, patients expressed that they avoided thinking about death. However, some had reconstructed specific and positive ideas about...... afterlife and made accurate decisions for practical aspects of their death. The patients wished to focus on positive aspects in their daily life at hospice. It hereby seems important to have ongoing reflections and to include different theoretical perspectives when providing existential support to dying...

OceanNOMADS: Real-time and retrospective access to operational U.S. ocean prediction products

Science.gov (United States)

Harding, J. M.; Cross, S. L.; Bub, F.; Ji, M.

2011-12-01

The National Oceanic and Atmospheric Administration (NOAA) National Operational Model Archive and Distribution System (NOMADS) provides both real-time and archived atmospheric model output from servers at the National Centers for Environmental Prediction (NCEP) and National Climatic Data Center (NCDC) respectively (http://nomads.ncep.noaa.gov/txt_descriptions/marRutledge-1.pdf). The NOAA National Ocean Data Center (NODC) with NCEP is developing a complementary capability called OceanNOMADS for operational ocean prediction models. An NCEP ftp server currently provides real-time ocean forecast output (http://www.opc.ncep.noaa.gov/newNCOM/NCOM_currents.shtml) with retrospective access through NODC. A joint effort between the Northern Gulf Institute (NGI; a NOAA Cooperative Institute) and the NOAA National Coastal Data Development Center (NCDDC; a division of NODC) created the developmental version of the retrospective OceanNOMADS capability (http://www.northerngulfinstitute.org/edac/ocean_nomads.php) under the NGI Ecosystem Data Assembly Center (EDAC) project (http://www.northerngulfinstitute.org/edac/). Complementary funding support for the developmental OceanNOMADS from U.S. Integrated Ocean Observing System (IOOS) through the Southeastern University Research Association (SURA) Model Testbed (http://testbed.sura.org/) this past year provided NODC the analogue that facilitated the creation of an NCDDC production version of OceanNOMADS (http://www.ncddc.noaa.gov/ocean-nomads/). Access tool development and storage of initial archival data sets occur on the NGI/NCDDC developmental servers with transition to NODC/NCCDC production servers as the model archives mature and operational space and distribution capability grow. Navy operational global ocean forecast subsets for U.S waters comprise the initial ocean prediction fields resident on the NCDDC production server. The NGI/NCDDC developmental server currently includes the Naval Research Laboratory Inter-America Seas

A “wear and tear” hypothesis to explain Sudden Infant Death Syndrome (SIDS

Directory of Open Access Journals (Sweden)

Eran Elhaik

2016-10-01

Full Text Available Sudden Infant Death Syndrome (SIDS is the leading cause of death in USA infants under one year of age accounting for approximately 2,700 deaths per year. Although formally SIDS dates back at least 2,000 years and was even mentioned in the Hebrew Bible (Kings 3:19 its etiology remains unexplained prompting the CDC to initiate a sudden unexpected infant death case registry in 2010. Due to their total dependence, the ability of the infant to allostatically regulate stressors and stress responses shaped by genetic and environmental factors is severely constrained. We propose that SIDS is the result of cumulative painful, stressful, or traumatic exposures that begin in utero and tax neonatal regulatory systems incompatible with allostasis. We also identify several putative biochemical mechanisms involved in SIDS. We argue that the important characteristics of SIDS, namely male predominance (60:40, the significantly different SIDS rate in USA Hispanics (80% lower compared to whites, 50% of cases occurring between 7.6 and 17.6 weeks after birth with only 10% after 24.7 weeks, and seasonal variation with most cases occurring during winter, are all associated with common environmental stressors, such as neonatal circumcision and seasonal illnesses. We predict that neonatal circumcision is associated with hypersensitive to pain and decreased heart rate variability which increase the risk for SIDS. We also predict that neonatal male circumcision will account for the SIDS gender bias and that cultures that practice high male circumcision rates, like USA whites, will have higher SIDS rates compared to cultures with lower circumcision rates. SIDS rates will also be higher in USA states where Medicaid covers circumcision and lower among cultures that do not practice neonatal circumcision and/or cannot afford to pay for circumcision. We last predict that winter-born premature infants who are circumcised will be at higher risk of SIDS compared to infants who

Mechanistic prediction of fission product release under normal and accident conditions: key uncertainties that need better resolution

International Nuclear Information System (INIS)

Rest, J.

1983-09-01

A theoretical model has been used for predicting the behavior of fission gas and volatile fission products (VFPs) in UO 2 -base fuels during steady-state and transient conditions. This model represents an attempt to develop an efficient predictive capability for the full range of possible reactor operating conditions. Fission products released from the fuel are assumed to reach the fuel surface by successively diffusing (via atomic and gas-bubble mobility) from the grains to grain faces and then to the grain edges, where the fission products are released through a network of interconnected tunnels of fission-gas induced and fabricated porosity. The model provides for a multi-region calculation and uses only one size class to characterize a distribution of fission gas bubbles

The ability of clinical and laboratory findings to predict in-hospital death in patients with thrombotic thrombocytopenic purpura in an internal and emergency medicine department

Directory of Open Access Journals (Sweden)

Filippo Pieralli

2012-01-01

Full Text Available Introduction: Thrombotic thrombocytopenic purpura (TTP is a rare, life-threatening syndrome characterized by microangiopathic anemia, thrombocytopenia, diffuse microvascular thrombosis, and ischemia. It is associated with very low levels of ADAMTS-13. Measurement of ADAMTS-13 levels is used for diagnostic and prognostic purposes, but in every-day clinical practice, this type of analysis is not always readily available. In this retrospective study, we evaluated prognostic value of clinical and laboratory findings in patients with TTP. Materials and methods: We retrospectively investigated patients with clinically diagnosed TTP treated in a unit of Internal and Emergency Medicine (1996-2007. Clinical and laboratory findings were collected and analyzed in order to assess their ability to predict in-hospital death. Results: Twelve patients were identified (mean age 59 + 22 years; 58% were women. Five (42% died during the hospitalization, and the variables significantly associated with this outcome were: a delay between diagnosis and symptom onset (HR 1.36; 95% CI 1.04-1.78; p < 0.05; a higher severity score (HR 1.48; 95%CI 1,23-3.86; p < 0.05; hemodynamic instability with hypotension and/or shock (HR 3.35; 95%CI 3.02-9.26; p < 0.01; a higher schistocyte count on blood smear (HR 1.84; 95%CI 1.04-3.27; p < 0.05; and higher lactate values (HR 1.85; 95%CI 1.08- 3.16; p < 0.05. Conclusions: TTP is a rare and potentially fatal disease with protean manifestations. Delayed diagnosis after symptom onset is a major determinant of poor outcome. Hypotension and shock are also prognostically unfavourable. Laboratory evidence of cardiocirculatory compromise (i.e., elevated lactate levels and extension of the disease process (i.e., schistocyte count > 3 are predictive of in-hospital death, independently of the hemodynamic profile on admission.

Experience with Euthanasia Is Associated with Fearlessness about Death in Veterinary Students

Science.gov (United States)

Witte, Tracy K.; Correia, Christopher J.; Angarano, Donna

2013-01-01

Veterinarians have an increased risk for suicide compared with the general population, yet there is little consensus regarding why this might be. We hypothesized that veterinarians become relatively fearless about death due to their repeated exposure to euthanasia. Accordingly, we predicted that there would be a positive relationship between…

Vacuolar processing enzyme in plant programmed cell death

Directory of Open Access Journals (Sweden)

Noriyuki eHatsugai

2015-04-01

Full Text Available Vacuolar processing enzyme (VPE is a cysteine proteinase originally identified as the proteinase responsible for the maturation and activation of vacuolar proteins in plants, and it is known to be an orthologue of animal asparaginyl endopeptidase (AEP/VPE/legumain. VPE has been shown to exhibit enzymatic properties similar to that of caspase 1, which is a cysteine protease that mediates the programmed cell death (PCD pathway in animals. Although there is limited sequence identity between VPE and caspase 1, their predicted three-dimensional structures revealed that the essential amino-acid residues for these enzymes form similar pockets for the substrate peptide YVAD. In contrast to the cytosolic localization of caspases, VPE is localized in vacuoles. VPE provokes vacuolar rupture, initiating the proteolytic cascade leading to PCD in the plant immune response. It has become apparent that the VPE-dependent PCD pathway is involved not only in the immune response, but also in the responses to a variety of stress inducers and in the development of various tissues. This review summarizes the current knowledge on the contribution of VPE to plant PCD and its role in vacuole-mediated cell death, and it also compares VPE with the animal cell death executor caspase 1.

Strengthening the case that elevated levels of programmed death ligand 1 predict poor prognosis in hepatocellular carcinoma patients

Directory of Open Access Journals (Sweden)

Zhong J

2016-12-01

Full Text Available Jian-Hong Zhong,1,* Cheng-Piao Luo,2,* Chun-Yan Zhang,2 Le-Qun Li1 1Hepatobiliary Surgery Department, 2Experimental Department, Affiliated Tumor Hospital of Guangxi Medical University, Nanning, People’s Republic of China *These authors contributed equally to this work Abstract: Immunotherapy targeting programmed death receptor 1 and programmed death ligand 1 (PD-L1 has shown impressive antitumor efficacy in several solid cancers, including advanced hepatocellular carcinoma (HCC. Since response rates of various cancers to such immunotherapy appear to correlate with PD-L1 expression levels, several studies have examined whether PD-L1 expression correlates with HCC pathology and patient prognosis. In this paper, we analyzed the strength and limitations of a recent meta-analysis of associations of PD-L1 with HCC characteristics and patient prognosis. Keywords: hepatocellular carcinoma, programmed death ligand 1, hepatic resection, prognoses

Making death 'good': instructional tales for dying in newspaper accounts of Jade Goody's death.

Science.gov (United States)

Frith, Hannah; Raisborough, Jayne; Klein, Orly

2013-03-01

Facilitating a 'good' death is a central goal for hospices and palliative care organisations. The key features of such a death include an acceptance of death, an open awareness of and communication about death, the settling of practical and interpersonal business, the reduction of suffering and pain, and the enhancement of autonomy, choice and control. Yet deaths are inherently neither good nor bad; they require cultural labour to be 'made over' as good. Drawing on media accounts of the controversial death of UK reality television star Jade Goody, and building on existing analyses of her death, we examine how cultural discourses actively work to construct deaths as good or bad and to position the dying and those witnessing their death as morally accountable. By constructing Goody as bravely breaking social taboos by openly acknowledging death, by contextualising her dying as occurring at the end of a life well lived and by emphasising biographical continuity and agency, newspaper accounts serve to position themselves as educative rather than exploitative, and readers as information-seekers rather than ghoulishly voyeuristic. We argue that popular culture offers moral instruction in dying well which resonates with the messages from palliative care. © 2012 The Authors. Sociology of Health & Illness © 2012 Foundation for the Sociology of Health & Illness/Blackwell Publishing Ltd.

38 CFR 3.211 - Death.

Science.gov (United States)

2010-07-01

... 38 Pensions, Bonuses, and Veterans' Relief 1 2010-07-01 2010-07-01 false Death. 3.211 Section 3..., Compensation, and Dependency and Indemnity Compensation Evidence Requirements § 3.211 Death. Death should be... community where death occurred. (2) A copy of a coroner's report of death or a verdict of a coroner's jury...

Characteristics of caffeine intoxication-related death in Tokyo, Japan, between 2008 and 2013.

Science.gov (United States)

Suzuki, Hideto; Tanifuji, Takanobu; Abe, Nobuyuki; Maeda, Masako; Kato, Yukihisa; Shibata, Mikiyoshi; Fukunaga, Tatsushige

2014-10-01

Caffeine is widely available in beverages and over-the-counter products; however, in large doses, it can lead to lethal arrhythmia. This study aims to clarify the characteristics of caffeine intoxication-related deaths in Tokyo, Japan. Among the 4754 forensic autopsy cases between 2008 and 2013 in which a toxicological investigation was performed, cases in which the blood concentration of caffeine exceeded toxic levels (15 μg/ml) were selected (N = 22). We examined subjects' ages, medical histories, direct/underlying causes of death, and manner of death. We also assessed concurrent drug substance detection and identified the origin of the caffeine. More than 60% of the subjects were between the ages of 20 and 49 years (n = 14, 63.6%). Sixteen cases (72.7%) showed a history of psychiatric diseases such as depression and sleep disorders. The underlying cause of death for all cases except two was caffeine intoxication, and manner of death was classified as undetermined (n = 11), accidental (n = 7), suicide (n = 2), or others (n = 2). Toxicological analysis revealed the presence of ingredients common to analgesics/cold remedies in 12 cases (54.5%). The origin of the caffeine was identified in 11 cases (50.0%); the proportion of identification was significantly lower among the cases in which analgesic/cold remedy ingredients were not detected (20.0%). Caffeine intoxication-related deaths mainly occurred in young and middle-aged persons with common psychiatric diseases. Psychiatrists should take note of caffeine dependence while diagnosing common psychiatric symptoms. In half of the cases, the origin of the caffeine was unidentified; nevertheless, dietary sources or over-the-counter drugs containing caffeine were suspected. As it becomes easier to obtain caffeinated products, continuous monitoring of the number of deaths from caffeine intoxication, in addition to detailed investigations of the caffeine's origin, will be necessary.

Growth and predicted productivity of Opuntia ficus-indica for current and elevated carbon dioxide

Energy Technology Data Exchange (ETDEWEB)

Nobel, P.S. (Univ. of California, Los Angeles (United States)); Garcia de Cortazar, V. (Univ. de Chile, Santiago (Chile))

Opuntia ficus-indica (L.) Mill., a prickly pear cactus cultivated worldwide for its fruits and stem segments, can have an annual dry weight productivity exceeding that of many crops. Using a recent introduced environmental productivity index (EPI), the influences of water status, temperature, and photosynthetically active radiation (PAR) on its productivity can be predicted. This investigation calculated the water index, the temperature index, and the PAR index, whose product equals EPI, for 169 sites distributed approximately uniformly across the contiguous USA for present climatic conditions as well as for those associated with an elevated CO{sub 2} concentration of 650 {mu}L L{sup {minus}1}. The effect of elevated CO{sub 2} on growth of O. ficus-indica was directly measured, and low temperature limitations on productivity were considered. The dry weight gain of O. ficus-indica during 6 mo in an environmental growth chamber was 23% greater at 650 compared with 350 {mu}L L{sup {minus}1} CO{sub 2} and increased as the duration of the wet period increased. For closely spaced plants that lead to a high productivity per unit ground area, EPI averaged about 0.10, except in desert regions where the water index lowered EPI, in the far North or South and at high elevations where the temperature index lowered EPI, and in the Northeast and Northwest where the PAR index lowered EPI. The predicted annual dry weight productivity for O. ficus-indica was 12.8 Mg ha{sup {minus}1} yr{sup {minus}1} under current conditions, and 16.3 Mg ha{sup {minus}1} yr{sup {minus}1} under those associated with 650 {mu}L L{sup {minus}1} CO{sub 2}.

Predicting online product sales via online reviews, sentiments, and promotion strategies

OpenAIRE

Chong, Alain Yee Loong; Li, Boying; Ngai, Eric W.T.; Ch'ng, Eugene; Lee, Filbert

2016-01-01

Purpose\\ud – The purpose of this paper is to investigate if online reviews (e.g. valence and volume), online promotional strategies (e.g. free delivery and discounts) and sentiments from user reviews can help predict product sales.\\ud \\ud Design/methodology/approach\\ud – The authors designed a big data architecture and deployed Node.js agents for scraping the Amazon.com pages using asynchronous input/output calls. The completed web crawling and scraping data sets were then preprocessed for se...

Mechanisms underlying 3-bromopyruvate-induced cell death in colon cancer.

Science.gov (United States)

Sun, Yiming; Liu, Zhe; Zou, Xue; Lan, Yadong; Sun, Xiaojin; Wang, Xiu; Zhao, Surong; Jiang, Chenchen; Liu, Hao

2015-08-01

3-Bromopyruvate (3BP) is an energy-depleting drug that inhibits Hexokinase II activity by alkylation during glycolysis, thereby suppressing the production of ATP and inducing cell death. As such, 3BP can potentially serve as an anti-tumorigenic agent. Our previous research showed that 3BP can induce apoptosis via AKT /protein Kinase B signaling in breast cancer cells. Here we found that 3BP can also induce colon cancer cell death by necroptosis and apoptosis at the same time and concentration in the SW480 and HT29 cell lines; in the latter, autophagy was also found to be a mechanism of cell death. In HT29 cells, combined treatment with 3BP and the autophagy inhibitor 3-methyladenine (3-MA) exacerbated cell death, while viability in 3BP-treated cells was enhanced by concomitant treatment with the caspase inhibitor benzyloxycarbonyl-Val-Ala-Asp fluoromethylketone (z-VAD-fmk) and the necroptosis inhibitor necrostatin (Nec)-1. Moreover, 3BP inhibited tumor growth in a SW480 xenograft mouse model. These results indicate that 3BP can suppress tumor growth and induce cell death by multiple mechanisms at the same time and concentration in different types of colon cancer cell by depleting cellular energy stores.

Brain death revisited: it is not 'complete death' according to Islamic sources.

Science.gov (United States)

Bedir, Ahmet; Aksoy, Sahin

2011-05-01

Concepts, such as death, life and spirit cannot be known in their quintessential nature, but can be defined in accordance with their effects. In fact, those who think within the mode of pragmatism and Cartesian logic have ignored the metaphysical aspects of these terms. According to Islam, the entity that moves the body is named the soul. And the aliment of the soul is air. Cessation of breathing means leaving of the soul from the body. Those who agree on the diagnosis of brain death may not able to agree unanimously on the rules that lay down such diagnosis. That is to say, there are a heap of suspicions regarding the diagnosis of brain death, and these suspicions are on the increase. In fact, Islamic jurisprudence does not put provisions, decisions on suspicious grounds. By virtue of these facts, it can be asserted that brain death is not absolute death according to Islamic sources; for in the patients diagnosed with brain death the soul still has not abandoned the body. Therefore, these patients suffer in every operation performed on them.

Sibling Death and Death Fear in Relation to Depressive Symptomatology in Older Adults

OpenAIRE

Cicirelli, Victor G

2009-01-01

Previously overlooked factors in elders' depressive symptomatology were examined, including death fear, sibling death, and sibling closeness. Participants were 150 elders (61 men, 89 women) aged 65--97 years with at least one sibling. Measures were proportion of deceased siblings, sibling closeness, the Death Fear Subscale of the Death Attitude Profile--Revised, and the Center for Epidemiological Studies--Depression scale (20-item adult form). Age and education were exogenous variables in a s...

Mean annual precipitation predicts primary production resistance and resilience to extreme drought.

Science.gov (United States)

Stuart-Haëntjens, Ellen; De Boeck, Hans J; Lemoine, Nathan P; Mänd, Pille; Kröel-Dulay, György; Schmidt, Inger K; Jentsch, Anke; Stampfli, Andreas; Anderegg, William R L; Bahn, Michael; Kreyling, Juergen; Wohlgemuth, Thomas; Lloret, Francisco; Classen, Aimée T; Gough, Christopher M; Smith, Melinda D

2018-04-27

Extreme drought is increasing in frequency and intensity in many regions globally, with uncertain consequences for the resistance and resilience of ecosystem functions, including primary production. Primary production resistance, the capacity to withstand change during extreme drought, and resilience, the degree to which production recovers, vary among and within ecosystem types, obscuring generalized patterns of ecological stability. Theory and many observations suggest forest production is more resistant but less resilient than grassland production to extreme drought; however, studies of production sensitivity to precipitation variability indicate that the processes controlling resistance and resilience may be influenced more by mean annual precipitation (MAP) than ecosystem type. Here, we conducted a global meta-analysis to investigate primary production resistance and resilience to extreme drought in 64 forests and grasslands across a broad MAP gradient. We found resistance to extreme drought was predicted by MAP; however, grasslands (positive) and forests (negative) exhibited opposing resilience relationships with MAP. Our findings indicate that common plant physiological mechanisms may determine grassland and forest resistance to extreme drought, whereas differences among plant residents in turnover time, plant architecture, and drought adaptive strategies likely underlie divergent resilience patterns. The low resistance and resilience of dry grasslands suggests that these ecosystems are the most vulnerable to extreme drought - a vulnerability that is expected to compound as extreme drought frequency increases in the future. Copyright © 2018. Published by Elsevier B.V.

Characterization and prediction of chemical functions and weight fractions in consumer products

Directory of Open Access Journals (Sweden)

Kristin K. Isaacs

Full Text Available Assessing exposures from the thousands of chemicals in commerce requires quantitative information on the chemical constituents of consumer products. Unfortunately, gaps in available composition data prevent assessment of exposure to chemicals in many products. Here we propose filling these gaps via consideration of chemical functional role. We obtained function information for thousands of chemicals from public sources and used a clustering algorithm to assign chemicals into 35 harmonized function categories (e.g., plasticizers, antimicrobials, solvents. We combined these functions with weight fraction data for 4115 personal care products (PCPs to characterize the composition of 66 different product categories (e.g., shampoos. We analyzed the combined weight fraction/function dataset using machine learning techniques to develop quantitative structure property relationship (QSPR classifier models for 22 functions and for weight fraction, based on chemical-specific descriptors (including chemical properties. We applied these classifier models to a library of 10196 data-poor chemicals. Our predictions of chemical function and composition will inform exposure-based screening of chemicals in PCPs for combination with hazard data in risk-based evaluation frameworks. As new information becomes available, this approach can be applied to other classes of products and the chemicals they contain in order to provide essential consumer product data for use in exposure-based chemical prioritization. Keywords: Chemical function, Exposure modeling, Chemical prioritization, Consumer products, Cosmetics, ExpoCast

An Ursolic Acid Derived Small Molecule Triggers Cancer Cell Death through Hyperstimulation of Macropinocytosis.

Science.gov (United States)

Sun, Lin; Li, Bin; Su, Xiaohui; Chen, Ge; Li, Yaqin; Yu, Linqian; Li, Li; Wei, Wanguo

2017-08-10

Macropinocytosis is a transient endocytosis that internalizes extracellular fluid and particles into vacuoles. Recent studies suggest that hyperstimulation of macropinocytosis can induce a novel nonapoptotic cell death, methuosis. In this report, we describe the identification of an ursolic acid derived small molecule (compound 17), which induces cancer cell death through hyperstimulation of macropinocytosis. 17 causes the accumulation of vacuoles derived from macropinosomes based on transmission electron microscopy, time-lapse microscopy, and labeling with extracellular fluid phase tracers. The vacuoles induced by 17 separate from other cytoplasmic compartments but acquire some characteristics of late endosomes and lysosomes. Inhibiting hyperstimulation of macropinocytosis with the specific inhibitor amiloride blocks cell death, implicating that 17 leads to cell death via macropinocytosis, which is coincident with methuosis. Our results uncovered a novel cell death pathway involved in the activity of 17, which may provide a basis for further development of natural-product-derived scaffolds for drugs that trigger cancer cell death by methuosis.

Comparison of public health impact of Listeria monocytogenes product-to-product and environment-to-product contamination of deli meats at retail.

Science.gov (United States)

Pradhan, Abani K; Ivanek, Renata; Gröhn, Yrjö T; Bukowski, Robert; Wiedmann, Martin

2011-11-01

This study compared the relative public health impact in deli meats at retail contaminated with Listeria monocytogenes by either (i) other products or (ii) the retail environment. Modeling was performed using the risk of listeriosis-associated deaths as a public health outcome of interest and using two deli meat products (i.e., ham and turkey, both formulated without growth inhibitors) as model systems. Based on reported data, deli meats coming to retail were assumed to be contaminated at a frequency of 0.4%. Three contamination scenarios were investigated: (i) a baseline scenario, in which no additional cross-contamination occurred at retail, (ii) a scenario in which an additional 2.3% of products were cross-contaminated at retail due to transfer of L. monocytogenes cells from already contaminated ready-to-eat deli meats, and (iii) a scenario in which an additional 2.3% of products were contaminated as a result of cross-contamination from a contaminated retail environment. By using a previously reported L. monocytogenes risk assessment model that uses product-specific growth kinetic parameters, cross-contamination of deli ham and turkey was estimated to increase the relative risk of listeriosis-associated deaths by 5.9- and 6.1-fold, respectively, for contamination from other products and by 4.9- and 5.8-fold, respectively, for contamination from the retail environment. Sensitivity and scenario analyses indicated that the frequency of cross-contamination at retail from any source (other food products or environment) was the most important factor affecting the relative risk of listeriosis-associated deaths. Overall, our data indicate that retail-level cross-contamination of ready-to-eat deli meats with L. monocytogenes has the potential to considerably increase the risk of human listeriosis cases and deaths, and thus precise estimates of cross-contamination frequency are critical for accurate risk assessments.

Analyze of Predictive Model of Innovation Management in Processing and Complementary Industries of Livestock Products

OpenAIRE

Ahmad Reza Ommani

2015-01-01

The purpose of this study was designing predictive model for innovation management in processing and complementary industries of livestock products. The method of research was correlative descriptive. The population of this research was managers in processing and complementary industries of livestock products of Khouzestan Province (N=486). By stratified random sampling, a random sample (n=125) was selected for participation in the study. A questionnaire was developed to ...

Sudden Infant Death Syndrome (SIDS)

Science.gov (United States)

Sudden infant death syndrome (SIDS) Overview Sudden infant death syndrome (SIDS) is the unexplained death, usually during sleep, of a seemingly healthy baby ... year old. SIDS is sometimes known as crib death because the infants often die in their cribs. ...

Deaths: Leading Causes for 2012.

Science.gov (United States)

Heron, Melonie

2015-08-31

This report presents final 2012 data on the 10 leading causes of death in the United States by age, sex, race, and Hispanic origin. Leading causes of infant, neonatal, and postneonatal death are also presented. This report supplements "Deaths: Final Data for 2012," the National Center for Health Statistics' annual report of final mortality statistics. Data in this report are based on information from all death certificates filed in the 50 states and the District of Columbia in 2012. Causes of death classified by the International Classification of Diseases, Tenth Revision (ICD-10) are ranked according to the number of deaths assigned to rankable causes. Cause-of-death statistics are based on the underlying cause of death. In 2012, the 10 leading causes of death were, in rank order: Diseases of heart; Malignant neoplasms; Chronic lower respiratory diseases; Cerebrovascular diseases; Accidents (unintentional injuries); Alzheimer's disease; Diabetes mellitus; Influenza and pneumonia; Nephritis, nephrotic syndrome and nephrosis; and Intentional self-harm (suicide). These causes accounted for 74% of all deaths occurring in the United States. Differences in the rankings are evident by age, sex, race, and Hispanic origin. Leading causes of infant death for 2012 were, in rank order: Congenital malformations, deformations and chromosomal abnormalities; Disorders related to short gestation and low birth weight, not elsewhere classified; Sudden infant death syndrome; Newborn affected by maternal complications of pregnancy; Accidents (unintentional injuries); Newborn affected by complications of placenta, cord and membranes; Bacterial sepsis of newborn; Respiratory distress of newborn; Diseases of the circulatory system; and Neonatal hemorrhage. Important variations in the leading causes of infant death are noted for the neonatal and postneonatal periods.

National Death Index

Data.gov (United States)

U.S. Department of Health & Human Services — The National Death Index (NDI) is a centralized database of death record information on file in state vital statistics offices. Working with these state offices, the...

Benthic Light Availability Improves Predictions of Riverine Primary Production

Science.gov (United States)

Kirk, L.; Cohen, M. J.

2017-12-01

Light is a fundamental control on photosynthesis, and often the only control strongly correlated with gross primary production (GPP) in streams and rivers; yet it has received far less attention than nutrients. Because benthic light is difficult to measure in situ, surrogates such as open sky irradiance are often used. Several studies have now refined methods to quantify canopy and water column attenuation of open sky light in order to estimate the amount of light that actually reaches the benthos. Given the additional effort that measuring benthic light requires, we should ask if benthic light always improves our predictions of GPP compared to just open sky irradiance. We use long-term, high-resolution dissolved oxygen, turbidity, dissolved organic matter (fDOM), and irradiance data from streams and rivers in north-central Florida, US across gradients of size and color to build statistical models of benthic light that predict GPP. Preliminary results on a large, clear river show only modest model improvements over open sky irradiance, even in heavily canopied reaches with pulses of tannic water. However, in another spring-fed river with greater connectivity to adjacent wetlands - and hence larger, more frequent pulses of tannic water - the model improved dramatically with the inclusion of fDOM (model R2 improved from 0.28 to 0.68). River shade modeling efforts also suggest that knowing benthic light will greatly enhance our ability to predict GPP in narrower, forested streams flowing in particular directions. Our objective is to outline conditions where an assessment of benthic light conditions would be necessary for riverine metabolism studies or management strategies.

Count Data On Cancer Death In Ohio A Bayesian Analysis

Directory of Open Access Journals (Sweden)

Walaa Hamdi

2015-08-01

Full Text Available This paper considers statistical modeling of count data on cancer death in Ohio State. We obtained count data on male and female from a website of the Centers for Disease Control and Prevention and used Bayesian analyses to find suitable models which help us to do inferences and predictions for next year. To assist us in selecting appropriate models we use criteria such as the DIC. In this paper we analyze the data to spatial longitudinal so we can capture possible correlations. Using our analyses we make predictions of the numbers of people who will die with cancer in a future year in Ohio State.

Stem cell death and survival in heart regeneration and repair.

Science.gov (United States)

Abdelwahid, Eltyeb; Kalvelyte, Audrone; Stulpinas, Aurimas; de Carvalho, Katherine Athayde Teixeira; Guarita-Souza, Luiz Cesar; Foldes, Gabor

2016-03-01

Cardiovascular diseases are major causes of mortality and morbidity. Cardiomyocyte apoptosis disrupts cardiac function and leads to cardiac decompensation and terminal heart failure. Delineating the regulatory signaling pathways that orchestrate cell survival in the heart has significant therapeutic implications. Cardiac tissue has limited capacity to regenerate and repair. Stem cell therapy is a successful approach for repairing and regenerating ischemic cardiac tissue; however, transplanted cells display very high death percentage, a problem that affects success of tissue regeneration. Stem cells display multipotency or pluripotency and undergo self-renewal, however these events are negatively influenced by upregulation of cell death machinery that induces the significant decrease in survival and differentiation signals upon cardiovascular injury. While efforts to identify cell types and molecular pathways that promote cardiac tissue regeneration have been productive, studies that focus on blocking the extensive cell death after transplantation are limited. The control of cell death includes multiple networks rather than one crucial pathway, which underlies the challenge of identifying the interaction between various cellular and biochemical components. This review is aimed at exploiting the molecular mechanisms by which stem cells resist death signals to develop into mature and healthy cardiac cells. Specifically, we focus on a number of factors that control death and survival of stem cells upon transplantation and ultimately affect cardiac regeneration. We also discuss potential survival enhancing strategies and how they could be meaningful in the design of targeted therapies that improve cardiac function.

Predictive control of hollow-fiber bioreactors for the production of monoclonal antibodies.

Science.gov (United States)

Dowd, J E; Weber, I; Rodriguez, B; Piret, J M; Kwok, K E

1999-05-20

The selection of medium feed rates for perfusion bioreactors represents a challenge for process optimization, particularly in bioreactors that are sampled infrequently. When the present and immediate future of a bioprocess can be adequately described, predictive control can minimize deviations from set points in a manner that can maximize process consistency. Predictive control of perfusion hollow-fiber bioreactors was investigated in a series of hybridoma cell cultures that compared operator control to computer estimation of feed rates. Adaptive software routines were developed to estimate the current and predict the future glucose uptake and lactate production of the bioprocess at each sampling interval. The current and future glucose uptake rates were used to select the perfusion feed rate in a designed response to deviations from the set point values. The routines presented a graphical user interface through which the operator was able to view the up-to-date culture performance and assess the model description of the immediate future culture performance. In addition, fewer samples were taken in the computer-estimated cultures, reducing labor and analytical expense. The use of these predictive controller routines and the graphical user interface decreased the glucose and lactate concentration variances up to sevenfold, and antibody yields increased by 10% to 43%. Copyright 1999 John Wiley & Sons, Inc.

NCHS - Potentially Excess Deaths from the Five Leading Causes of Death

Data.gov (United States)

U.S. Department of Health & Human Services — Potentially Excess Deaths from the Five Leading Causes of Death in Nonmetropolitan and Metropolitan Areas, United States, 2005-2015. Mortality data for U.S....

Fully-differential NNLO predictions for vector-boson pair production with MATRIX

CERN Document Server

Wiesemann, Marius; Kallweit, Stefan; Rathlev, Dirk

2016-01-01

We review the computations of the next-to-next-to-leading order (NNLO) QCD corrections to vector-boson pair production processes in proton–proton collisions and their implementation in the numerical code MATRIX. Our calculations include the leptonic decays of W and Z bosons, consistently taking into account all spin correlations, off-shell effects and non-resonant contributions. For massive vector-boson pairs we show inclusive cross sections, applying the respective mass windows chosen by ATLAS and CMS to define Z bosons from their leptonic decay products, as well as total cross sections for stable bosons. Moreover, we provide samples of differential distributions in fiducial phase-space regions inspired by typical selection cuts used by the LHC experiments. For the vast majority of measurements, the inclusion of NNLO corrections significantly improves the agreement of the Standard Model predictions with data.

RELIGION, CULTURE AND LOCAL WISDOM IN THE DEATH RITUAL OF PONTIANAK MALAY SOCIETY

Directory of Open Access Journals (Sweden)

Sumarman Muhammad Djar’ie

2016-02-01

Full Text Available Death is inevitable and will occur to every living creature, including humans no mater what religion or belief they have; however, no one knows for sure when it happens. Humans can only predict death based on indicators that can be seen before it occurs. Still until now, there are many people who attempt to oppose death, even though in the end they have to admit that Allah is the Almighty. Therefore, no wonder if the death is still considered a tragedy rather than the culmination of happiness when humans finally harvest of deeds they have done all their life. In this light, death rituals are often accompanied by the tears of the family of the deceased, even some cry hard to express their pain as someone they love is gone, coupled with the arrival of relatives and acquaintances who mourn, and condolences as well as the phrase “inna lillâh wa inna ilaihi raji’ȗn”. A day of joy has turned into a day of sorrow, although it always ends with kendurian (gathering for remembering the dead, whose excitement is like that of selamatan (communal feast and syukuran (celebration of thankfulness. This paper tries to present the infiltration of religion and culture in the death ritual in Pontianak Malay community as an object of discussion of local wisdom by using mafhȗm mukhâlafah approach, to provide a new understanding of the meaning of death.

Procedures in child deaths in The Netherlands: a comparison with child death review

NARCIS (Netherlands)

Gijzen, S.; Petter, J.; L'Hoir, M.P.; Boere-Boonekamp, M.M.; Need, A.

2017-01-01

Aim: Child Death Review (CDR) is a method in which every child death is systematically and multidisciplinary examined to (1) improve death statistics, (2) identify factors that give direction for prevention, (3) translate the results into possible interventions, and (4) support families. The aim of

Procedures in child deaths in The Netherlands : a comparison with child death review

NARCIS (Netherlands)

Knoeff-Gijzen, Sandra; Petter, Jessica; L'Hoir, Monique P.; Boere-Boonekamp, Magdalena M.; Need, Ariana

2017-01-01

Aim Child Death Review (CDR) is a method in which every child death is systematically and multidisciplinary examined to (1) improve death statistics, (2) identify factors that give direction for prevention, (3) translate the results into possible interventions, and (4) support families. The aim of

Predictors of Death in Trauma Patients who are Alive on Arrival at Hospital

NARCIS (Netherlands)

Lichtveld, R.A.; Panhuizen, I.F.; Smit, R.B.J.; Holtslag, H.R.; Werken, C. van der

2007-01-01

Objective: To determine which factors predict death occurring in trauma patients who are alive on arrival at hospital Design Prospective cohort study Method Data were collected from 507 trauma patients with multiple injuries, with a Hospital Trauma Index–Injury Severity Score of 16 or more, who

Deaths: Leading Causes for 2011.

Science.gov (United States)

Heron, Melonie

2015-07-27

This report presents final 2011 data on the 10 leading causes of death in the United States by age, sex, race, and Hispanic origin. Leading causes of infant, neonatal, and postneonatal death are also presented. This report supplements ‘‘Deaths: Final Data for 2011,’’ the National Center for Health Statistics’ annual report of final mortality statistics. Data in this report are based on information from all death certificates filed in the 50 states and the District of Columbia in 2011. Causes of death classified by the International Classification of Diseases, 10th Revision (ICD–10) are ranked according to the number of deaths assigned to rankable causes. Cause-of-death statistics are based on the underlying cause of death. In 2011, the 10 leading causes of death were, in rank order: Diseases of heart; Malignant neoplasms; Chronic lower respiratory diseases; Cerebrovascular diseases; Accidents (unintentional injuries); Alzheimer’s disease; Diabetes mellitus; Influenza and pneumonia; Nephritis, nephrotic syndrome and nephrosis; and Intentional self-harm (suicide). They accounted for 74% of all deaths occurring in the United States. Differences in the rankings are evident by age, sex, race, and Hispanic origin. Leading causes of infant death for 2011 were, in rank order: Congenital malformations, deformations and chromosomal abnormalities; Disorders related to short gestation and low birth weight, not elsewhere classified; Sudden infant death syndrome; Newborn affected by maternal complications of pregnancy; Accidents (unintentional injuries); Newborn affected by complications of placenta, cord and membranes; Bacterial sepsis of newborn; Respiratory distress of newborn; Diseases of the circulatory system; and Neonatal hemorrhage. Important variations in the leading causes of infant death are noted for the neonatal and postneonatal periods. All material appearing in this report is in the public domain and may be reproduced or copied without permission

Deaths: Leading Causes for 2015.

Science.gov (United States)

Heron, Melonie

2017-11-01

Objectives-This report presents final 2015 data on the 10 leading causes of death in the United States by age, sex, race, and Hispanic origin. Leading causes of infant, neonatal, and postneonatal death are also presented. This report supplements "Deaths: Final Data for 2015," the National Center for Health Statistics' annual report of final mortality statistics. Methods-Data in this report are based on information from all death certificates filed in the 50 states and the District of Columbia in 2015. Causes of death classified by the International Classification of Diseases, Tenth Revision (ICD-10) are ranked according to the number of deaths assigned to rankable causes. Cause-of-death statistics are based on the underlying cause of death. Results-In 2015, the 10 leading causes of death were, in rank order: Diseases of heart; Malignant neoplasms; Chronic lower respiratory diseases; Accidents (unintentional injuries); Cerebrovascular diseases; Alzheimer's disease; Diabetes mellitus; Influenza and pneumonia; Nephritis, nephrotic syndrome and nephrosis; and Intentional self-harm (suicide). They accounted for 74% of all deaths occurring in the United States. Differences in the rankings are evident by age, sex, race, and Hispanic origin. Leading causes of infant death for 2015 were, in rank order: Congenital malformations, deformations and chromosomal abnormalities; Disorders related to short gestation and low birth weight, not elsewhere classified; Sudden infant death syndrome; Newborn affected by maternal complications of pregnancy; Accidents (unintentional injuries); Newborn affected by complications of placenta, cord and membranes; Bacterial sepsis of newborn; Respiratory distress of newborn; Diseases of the circulatory system; and Neonatal hemorrhage. Important variations in the leading causes of infant death are noted for the neonatal and postneonatal periods. All material appearing in this report is in the public domain and may be reproduced or copied without

Deaths: Leading Causes for 2013.

Science.gov (United States)

Heron, Melonie

2016-02-16

This report presents final 2013 data on the 10 leading causes of death in the United States by age, sex, race, and Hispanic origin. Leading causes of infant, neonatal, and postneonatal death are also presented. This report supplements "Deaths: Final Data for 2013," the National Center for Health Statistics’ annual report of final mortality statistics. Data in this report are based on information from all death certificates filed in the 50 states and the District of Columbia in 2013. Causes of death classified by the International Classification of Diseases, Tenth Revision (ICD–10) are ranked according to the number of deaths assigned to rankable causes. Cause-of-death statistics are based on the underlying cause of death. In 2013, the 10 leading causes of death were, in rank order: Diseases of heart; Malignant neoplasms; Chronic lower respiratory diseases; Accidents (unintentional injuries); Cerebrovascular diseases; Alzheimer’s disease; Diabetes mellitus; Influenza and pneumonia; Nephritis, nephrotic syndrome and nephrosis; and Intentional self-harm (suicide). They accounted for 74% of all deaths occurring in the United States. Differences in the rankings are evident by age, sex, race, and Hispanic origin. Leading causes of infant death for 2013 were, in rank order: Congenital malformations, deformations and chromosomal abnormalities; Disorders related to short gestation and low birth weight, not elsewhere classified; Newborn affected by maternal complications of pregnancy; Sudden infant death syndrome; Accidents (unintentional injuries); Newborn affected by complications of placenta, cord and membranes; Bacterial sepsis of newborn; Respiratory distress of newborn; Diseases of the circulatory system; and Neonatal hemorrhage. Important variations in the leading causes of infant death are noted for the neonatal and postneonatal periods. All material appearing in this report is in the public domain and may be reproduced or copied without permission; citation as

Vegetative biomass predicts inflorescence production along a CO2 concentration gradient in mesic grassland

Science.gov (United States)

Fay, P. A.; Collins, H.; Polley, W.

2016-12-01

Atmospheric CO2 concentration will likely exceed 500 µL L-1 by 2050, often increasing plant community productivity in part by increasing abundance of species favored by increased CA . Whether increased abundance translates to increased inflorescence production is poorly understood, and is important because it indicates the potential effects of CO2 enrichment on genetic variability and the potential for evolutionary change in future generations. We examined whether the responses of inflorescence production to CO2 enrichment in four C4 grasses and a C3 forb were predicted their vegetative biomass, and by soil moisture, soil nitrogen, or light availability. Inflorescence production was studied in a long-term CO2 concentration gradient spanning pre-industrial to anticipated mid-21st century values (250 - 500 µL L-1) maintained on clay, silty clay and sandy loam soils common in the U.S. Southern Plains. We expected that CO2 enrichment would increase inflorescence production, and more so with higher water, nitrogen, or light availability. However, structural equation modeling revealed that vegetative biomass was the single consistent direct predictor of flowering for all species (p grass) and Solidago canadensis (C3 forb), direct CO2 effects on flowering were only weakly mediated by indirect effects of soil water content and soil NO3-N availability. For the decreasing species (Bouteloua curtipendula, C4 grass), the negative CO2-flowering relationship was cancelled (p = 0.39) by indirect effects of increased SWC and NO3-N on clay and silty clay soils. For the species with no CO2 response, inflorescence production was predicted only by direct water content (p grass) or vegetative biomass (p = 0.0009, Tridens albescens, C4 grass) effects. Light availability was unrelated to inflorescence production. Changes in inflorescence production are thus closely tied to direct and indirect effects of CO2 enrichment on vegetative biomass, and may either increase, decrease, or leave

Method of fission product beta spectra measurements for predicting reactor anti-neutrino emission

Energy Technology Data Exchange (ETDEWEB)

Asner, D.M.; Burns, K.; Campbell, L.W.; Greenfield, B.; Kos, M.S., E-mail: markskos@gmail.com; Orrell, J.L.; Schram, M.; VanDevender, B.; Wood, L.S.; Wootan, D.W.

2015-03-11

The nuclear fission process that occurs in the core of nuclear reactors results in unstable, neutron-rich fission products that subsequently beta decay and emit electron antineutrinos. These reactor neutrinos have served neutrino physics research from the initial discovery of the neutrino to today's precision measurements of neutrino mixing angles. The prediction of the absolute flux and energy spectrum of the emitted reactor neutrinos hinges upon a series of seminal papers based on measurements performed in the 1970s and 1980s. The steadily improving reactor neutrino measurement techniques and recent reconsiderations of the agreement between the predicted and observed reactor neutrino flux motivates revisiting the underlying beta spectra measurements. A method is proposed to use an accelerator proton beam delivered to an engineered target to yield a neutron field tailored to reproduce the neutron energy spectrum present in the core of an operating nuclear reactor. Foils of the primary reactor fissionable isotopes placed in this tailored neutron flux will ultimately emit beta particles from the resultant fission products. Measurement of these beta particles in a time projection chamber with a perpendicular magnetic field provides a distinctive set of systematic considerations for comparison to the original seminal beta spectra measurements. Ancillary measurements such as gamma-ray emission and post-irradiation radiochemical analysis will further constrain the absolute normalization of beta emissions per fission. The requirements for unfolding the beta spectra measured with this method into a predicted reactor neutrino spectrum are explored.

Exposure of Bacterial Biofilms to Electrical Current Leads to Cell Death Mediated in Part by Reactive Oxygen Species.

Science.gov (United States)

Brinkman, Cassandra L; Schmidt-Malan, Suzannah M; Karau, Melissa J; Greenwood-Quaintance, Kerryl; Hassett, Daniel J; Mandrekar, Jayawant N; Patel, Robin

2016-01-01

Bacterial biofilms may form on indwelling medical devices such as prosthetic joints, heart valves and catheters, causing challenging-to-treat infections. We have previously described the 'electricidal effect', in which bacterial biofilms are decreased following exposure to direct electrical current. Herein, we sought to determine if the decreased bacterial quantities are due to detachment of biofilms or cell death and to investigate the role that reactive oxygen species (ROS) play in the observed effect. Using confocal and electron microscopy and flow cytometry, we found that direct current (DC) leads to cell death and changes in the architecture of biofilms formed by Gram-positive and Gram-negative bacteria. Reactive oxygen species (ROS) appear to play a role in DC-associated cell death, as there was an increase in ROS-production by Staphylococcus aureus and Staphylococcus epidermidis biofilms following exposure to DC. An increase in the production of ROS response enzymes catalase and superoxide dismutase (SOD) was observed for S. aureus, S. epidermidis and Pseudomonas aeruginosa biofilms following exposure to DC. Additionally, biofilms were protected from cell death when supplemented with antioxidants and oxidant scavengers, including catalase, mannitol and Tempol. Knocking out SOD (sodAB) in P. aeruginosa led to an enhanced DC effect. Microarray analysis of P. aeruginosa PAO1 showed transcriptional changes in genes related to the stress response and cell death. In conclusion, the electricidal effect results in death of bacteria in biofilms, mediated, at least in part, by production of ROS.

[Deaths in hotels].

Science.gov (United States)

Risse, Manfred; Weilbächer, Nadine; Birngruber, Christoph; Verhoff, Marcel A

2010-01-01

There are no verified statistics about deaths occurring in hotels, and only a few cases have been described in the literature. A recent case induced us to conduct a systematic search for deaths in hotels in the autopsy reports of the Institute of Legal Medicine in Giessen for the period from 1968 to 2009. This search yielded 22 evaluable cases in which persons had been found dead or had died in hotels. Data evaluated in the study were sex and age of the deceased, reason for the stay in the hotel and cause of death. Among the deaths, 18 were males and 4 females and the average age was 41 and 40 years respectively. 6 of the male guests had died from a natural and 10 from a non-natural cause. In the remaining two cases, the cause of death could not be determined, but as there was no evidence that another party had been involved, the cases were not further investigated. Of the 4 female guests, 3 had died of a natural cause; in one case, the cause of death remained unclear even after morphological and toxicological investigations. Surprisingly, a third of the men were found to be temporarily living in hotels due to social circumstances. This was not true for any of the women. Our retrospective analysis is based on a comparatively small number of deaths in what were mostly hotels in small to medium-sized towns. Interestingly, the gender ratio of 18:4 for deceased men and women was significantly higher than the usual gender ratio of 2:1 found for forensic autopsies. To be able to draw further conclusions, a greater number of cases would have to be analysed, for example by recruiting additional case files from other institutes of legal medicine. This would also open up the option of investigating possible regional variations.

Portable Material Culture and Death Factory Auschwitz

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Adrian T. Myers

2007-11-01

Full Text Available Like any other factory, the death factory of Auschwitz consumed primary materials and produced secondary products. Unique to Auschwitz, though, is that the primary material consumed was human life; not just the life of the breathing human body, but also the material possessions associated with that life. The detritus of this most efficient genocide – clothing, jewellery, food, corpses – was appropriated and put to new uses by the SS and the prisoners. Others have recognised the various postwar material cultural outcomes of the camp: the writing, the film, the theatre, the art, the tourism. This article, however, demonstrates that the material culture of Auschwitz is not a phenomenon exclusive to the postwar era. It focuses on the fact that inside the camp during the war, despite the landscape of death and deprivation, intimate interaction between humans and material culture continued.

Can Intoxication Status Be Used as a Prediction Tool for Manner of Death?: A Comparison of the Intoxication Status in Violent Suicides and Homicides.

Science.gov (United States)

Molina, D Kimberley; Hargrove, Veronica M

2017-03-01

Determining the manner of death in medicolegal death investigations can be difficult. The investigator relies on many facets of death investigation, including the circumstances of death and autopsy examination. A study was designed to analyze whether the intoxication status of the decedent could be used as another tool in death investigations. The intoxication status of violent (nonoverdose or poisoning) suicides and homicides was retrospectively reviewed and compared. A total of 625 deaths were identified, including 366 suicides and 259 homicides. Age, sex, cause of death, and intoxication status, including the specific drugs present, were analyzed. Gunshot wounds were the most common cause of death in both groups, with hanging being the second most common cause in suicides and sharp force injuries in homicides. Analysis found that although the overall intoxication status for suicides versus homicides did not differ significantly, certain drugs were more prevalent in one group over the other. Specifically, illicit drugs, that is, heroin, cocaine, and methamphetamine, were more likely to be present in homicides, whereas antidepressants or antipsychotics, benzodiazepines, and zolpidem were more common in suicides.

Decision support system in Predicting the Best teacher with Multi Atribute Decesion Making Weighted Product (MADMWP Method

Directory of Open Access Journals (Sweden)

Solikhun Solikhun

2017-06-01

Full Text Available Predicting of the best teacher in Indonesia aims to spur the development of the growth and improve the quality of the education. In this paper, the predicting  of the best teacher is implemented based on predefined criteria. To help the predicting process, a decision support system is needed. This paper employs Multi Atribute Decesion Making Weighted Product (MADMWP method. The result of this method is tested some teachers in  junior high school islamic boarding Al-Barokah school, Simalungun, North Sumatera, Indonesia. This system can be used to help in solving problems of the best teacher prediction.

The FlbA-regulated predicted transcription factor Fum21 of Aspergillus niger is involved in fumonisin production.

Science.gov (United States)

Aerts, David; Hauer, Esther E; Ohm, Robin A; Arentshorst, Mark; Teertstra, Wieke R; Phippen, Christopher; Ram, Arthur F J; Frisvad, Jens C; Wösten, Han A B

2018-03-01

Aspergillus niger secretes proteins throughout the colony except for the zone that forms asexual spores called conidia. Inactivation of flbA that encodes a regulator of G-protein signaling results in colonies that are unable to reproduce asexually and that secrete proteins throughout the mycelium. In addition, the ΔflbA strain shows cell lysis and has thinner cell walls. Expression analysis showed that 38 predicted transcription factor genes are differentially expressed in strain ΔflbA. Here, the most down-regulated predicted transcription factor gene, called fum21, was inactivated. Growth, conidiation, and protein secretion were not affected in strain Δfum21. Whole genome expression analysis revealed that 63 and 11 genes were down- and up-regulated in Δfum21, respectively, when compared to the wild-type strain. Notably, 24 genes predicted to be involved in secondary metabolism were down-regulated in Δfum21, including 10 out of 12 genes of the fumonisin cluster. This was accompanied by absence of fumonisin production in the deletion strain and a 25% reduction in production of pyranonigrin A. Together, these results link FlbA-mediated sporulation-inhibited secretion with mycotoxin production.

Quality of Care: A Review of Maternal Deaths in a Regional Hospital in Ghana.

Science.gov (United States)

Adusi-Poku, Yaw; Antwil, Edward; Osei-Kwakye, Kingsley; Tetteh, Chris; Detoh, Eric Kwame; Antwi, Phyllis

2015-09-01

The government of Ghana and key stakeholders have put into place several interventions aimed at reducing maternal deaths. At the institutional level, the conduct of maternal deaths audit has been instituted. This also contributes to reducing maternal deaths as shortcomings that may have contributed to such deaths could be identified to inform best practice and forestall such occurrences in the future. The objective of this study was to review the quality of maternal care in a regional hospital. A review of maternal deaths using Quality of Care Evaluation Form adapted from the Komfo Anokye Teaching Hospital (KATH) Maternal Death Audit Evaluation Committee was used. About fifty-five percent, 18 (55%) of cases were deemed to have received adequate documentation, senior clinicians were involved in 26(85%) of cases. Poor documentation, non-involvement of senior clinicians in the management of cases, laboratory related issues particularly in relation to blood and blood products as well as promptness of care and adequacy of intensive care facilities and specialists in the hospital were contributory factors to maternal deaths . These are common themes contributing to maternal deaths in developing countries which need to be urgently tackled. Maternal death review with emphasis on quality of care, coupled with facility gap assessment, is a useful tool to address the adequacy of emergency obstetric care services to prevent further maternal deaths.

International comparison of death place for suicide; a population-level eight country death certificate study.

Science.gov (United States)

Rhee, YongJoo; Houttekier, Dirk; MacLeod, Roderick; Wilson, Donna M; Cardenas-Turanzas, Marylou; Loucka, Martin; Aubry, Regis; Teno, Joan; Roh, Sungwon; Reinecke, Mark A; Deliens, Luc; Cohen, Joachim

2016-01-01

The places of death for people who died of suicide were compared across eight countries and socio-demographic factors associated with home suicide deaths identified. Death certificate data were analyzed; using multivariable binary logistic regression to determine associations. National suicide death rates ranged from 1.4 % (Mexico) to 6.4 % (South Korea). The proportion of suicide deaths occurring at home was high, ranging from 29.9 % (South Korea) to 65.8 % (Belgium). Being older, female, widowed/separated, highly educated and living in an urban area were risk factors for home suicide. Home suicide deaths need specific attention in prevention programs.

Performance of four computer-coded verbal autopsy methods for cause of death assignment compared with physician coding on 24,000 deaths in low- and middle-income countries

Science.gov (United States)

2014-01-01

Background Physician-coded verbal autopsy (PCVA) is the most widely used method to determine causes of death (CODs) in countries where medical certification of death is uncommon. Computer-coded verbal autopsy (CCVA) methods have been proposed as a faster and cheaper alternative to PCVA, though they have not been widely compared to PCVA or to each other. Methods We compared the performance of open-source random forest, open-source tariff method, InterVA-4, and the King-Lu method to PCVA on five datasets comprising over 24,000 verbal autopsies from low- and middle-income countries. Metrics to assess performance were positive predictive value and partial chance-corrected concordance at the individual level, and cause-specific mortality fraction accuracy and cause-specific mortality fraction error at the population level. Results The positive predictive value for the most probable COD predicted by the four CCVA methods averaged about 43% to 44% across the datasets. The average positive predictive value improved for the top three most probable CODs, with greater improvements for open-source random forest (69%) and open-source tariff method (68%) than for InterVA-4 (62%). The average partial chance-corrected concordance for the most probable COD predicted by the open-source random forest, open-source tariff method and InterVA-4 were 41%, 40% and 41%, respectively, with better results for the top three most probable CODs. Performance generally improved with larger datasets. At the population level, the King-Lu method had the highest average cause-specific mortality fraction accuracy across all five datasets (91%), followed by InterVA-4 (72% across three datasets), open-source random forest (71%) and open-source tariff method (54%). Conclusions On an individual level, no single method was able to replicate the physician assignment of COD more than about half the time. At the population level, the King-Lu method was the best method to estimate cause-specific mortality

Teaching about the Death Penalty.

Science.gov (United States)

Ryan, John Paul; Eden, John Michael

1998-01-01

Examines the reasons for the death penalty, the reasons why the death penalty attracts so much attention, whether the death penalty is applied consistently, and the evidence that the application of the death penalty may be racially biased. Provides an accompanying article on "Teaching Ideas" by Ronald A. Banaszak. (CMK)

Death: ‘nothing’ gives insight

NARCIS (Netherlands)

Ettema, E.J.

2013-01-01

According to a widely accepted belief, we cannot know our own death-death means 'nothing' to us. At first sight, the meaning of 'nothing' just implies the negation or absence of 'something'. Death then simply refers to the negation or absence of life. As a consequence, however, death has no meaning

eTOXlab, an open source modeling framework for implementing predictive models in production environments.

Science.gov (United States)

Carrió, Pau; López, Oriol; Sanz, Ferran; Pastor, Manuel

2015-01-01

Computational models based in Quantitative-Structure Activity Relationship (QSAR) methodologies are widely used tools for predicting the biological properties of new compounds. In many instances, such models are used as a routine in the industry (e.g. food, cosmetic or pharmaceutical industry) for the early assessment of the biological properties of new compounds. However, most of the tools currently available for developing QSAR models are not well suited for supporting the whole QSAR model life cycle in production environments. We have developed eTOXlab; an open source modeling framework designed to be used at the core of a self-contained virtual machine that can be easily deployed in production environments, providing predictions as web services. eTOXlab consists on a collection of object-oriented Python modules with methods mapping common tasks of standard modeling workflows. This framework allows building and validating QSAR models as well as predicting the properties of new compounds using either a command line interface or a graphic user interface (GUI). Simple models can be easily generated by setting a few parameters, while more complex models can be implemented by overriding pieces of the original source code. eTOXlab benefits from the object-oriented capabilities of Python for providing high flexibility: any model implemented using eTOXlab inherits the features implemented in the parent model, like common tools and services or the automatic exposure of the models as prediction web services. The particular eTOXlab architecture as a self-contained, portable prediction engine allows building models with confidential information within corporate facilities, which can be safely exported and used for prediction without disclosing the structures of the training series. The software presented here provides full support to the specific needs of users that want to develop, use and maintain predictive models in corporate environments. The technologies used by e

Prediction of municipal water production in touristic Mecca City in Saudi Arabia using neural networks

Directory of Open Access Journals (Sweden)

AbdelHamid Ajbar

2015-01-01

Full Text Available Accurate forecast of municipal water production is critically important for arid and oil rich countries such as Saudi Arabia which depend on costly desalination plants to satisfy the growing water demand. Achieving the desired prediction accuracy is a challenging task since the forecast model should take into consideration a variety of factors such as economic development, climate conditions and population growth. The task is further complicated given that Mecca city is visited regularly by large numbers during specific months in the year due to religious reasons. This study develops a neural network model for forecasting the monthly and annual water demand for Mecca city, Saudi Arabia. The proposed model used historic records of water production and estimated visitors’ distribution to calibrate a neural network model for water demand forecast. The explanatory variables included annually-varying variables such as household income, persons per household, and city population, along with monthly-varying variables such as expected number of visitors each month and maximum monthly temperature. The NN prediction outperforms that of a regular econometric model. The latter is adjusted such that it can provide monthly and annual predictions.

Status of the observed and predicted b anti-b production at the Tevatron

Energy Technology Data Exchange (ETDEWEB)

Happacher, F.; Giromini, P.; /Frascati; Ptohos, F.; /Cyprus U.

2005-09-01

The authors review the experimental status of the b-quark production at the Fermilab Tevatron. They compare all available measurements to perturbative QCD predictions (NLO and FONLL) and also to the parton-level cross section evaluated with parton-shower Monte Carlo generators. They examine both the single b cross section and the so called b{bar b} correlations. The review shows that the experimental situation is quite complicated because the measurements appear to be inconsistent among themselves. In this situation, there is no solid basis to either claim that perturbative QCD is challenged by these measurements or, in contrast, that long-standing discrepancies between data and theory have been resolved by incrementally improving the measurements and the theoretical prediction.

Development of associations and kinetic models for microbiological data to be used in comprehensive food safety prediction software.

Science.gov (United States)

Halder, Amit; Black, D Glenn; Davidson, P Michael; Datta, Ashim

2010-08-01

The objective of this study was to use an existing database of food products and their associated processes, link it with a list of the foodborne pathogenic microorganisms associated with those products and finally identify growth and inactivation kinetic parameters associated with those pathogens. The database was to be used as a part of the development of comprehensive software which could predict food safety and quality for any food product. The main issues in building such a predictive system included selection of predictive models, associations of different food types with pathogens (as determined from outbreak histories), and variability in data from different experiments. More than 1000 data sets from published literature were analyzed and grouped according to microorganisms and food types. Final grouping of data consisted of the 8 most prevalent pathogens for 14 different food groups, covering all of the foods (>7000) listed in the USDA Natl. Nutrient Database. Data for each group were analyzed in terms of 1st-order inactivation, 1st-order growth, and sigmoidal growth models, and their kinetic response for growth and inactivation as a function of temperature were reported. Means and 95% confidence intervals were calculated for prediction equations. The primary advantage in obtaining group-specific kinetic data is the ability to extend microbiological growth and death simulation to a large array of product and process possibilities, while still being reasonably accurate. Such simulation capability could provide vital ''what if'' scenarios for industry, Extension, and academia in food safety.

Co-digestion of solid waste: Towards a simple model to predict methane production.

Science.gov (United States)

Kouas, Mokhles; Torrijos, Michel; Schmitz, Sabine; Sousbie, Philippe; Sayadi, Sami; Harmand, Jérôme

2018-04-01

Modeling methane production is a key issue for solid waste co-digestion. Here, the effect of a step-wise increase in the organic loading rate (OLR) on reactor performance was investigated, and four new models were evaluated to predict methane yields using data acquired in batch mode. Four co-digestion experiments of mixtures of 2 solid substrates were conducted in semi-continuous mode. Experimental methane yields were always higher than the BMP values of mixtures calculated from the BMP of each substrate, highlighting the importance of endogenous production (methane produced from auto-degradation of microbial community and generated solids). The experimental methane productions under increasing OLRs corresponded well to the modeled data using the model with constant endogenous production and kinetics identified at 80% from total batch time. This model provides a simple and useful tool for technical design consultancies and plant operators to optimize the co-digestion and the choice of the OLRs. Copyright © 2018 Elsevier Ltd. All rights reserved.

Oxygen pathway modeling estimates high reactive oxygen species production above the highest permanent human habitation.

Directory of Open Access Journals (Sweden)

Isaac Cano

Full Text Available The production of reactive oxygen species (ROS from the inner mitochondrial membrane is one of many fundamental processes governing the balance between health and disease. It is well known that ROS are necessary signaling molecules in gene expression, yet when expressed at high levels, ROS may cause oxidative stress and cell damage. Both hypoxia and hyperoxia may alter ROS production by changing mitochondrial Po2 (PmO2. Because PmO2 depends on the balance between O2 transport and utilization, we formulated an integrative mathematical model of O2 transport and utilization in skeletal muscle to predict conditions to cause abnormally high ROS generation. Simulations using data from healthy subjects during maximal exercise at sea level reveal little mitochondrial ROS production. However, altitude triggers high mitochondrial ROS production in muscle regions with high metabolic capacity but limited O2 delivery. This altitude roughly coincides with the highest location of permanent human habitation. Above 25,000 ft., more than 90% of exercising muscle is predicted to produce abnormally high levels of ROS, corresponding to the "death zone" in mountaineering.

Advancing alternatives analysis: The role of predictive toxicology in selecting safer chemical products and processes.

Science.gov (United States)

Malloy, Timothy; Zaunbrecher, Virginia; Beryt, Elizabeth; Judson, Richard; Tice, Raymond; Allard, Patrick; Blake, Ann; Cote, Ila; Godwin, Hilary; Heine, Lauren; Kerzic, Patrick; Kostal, Jakub; Marchant, Gary; McPartland, Jennifer; Moran, Kelly; Nel, Andre; Ogunseitan, Oladele; Rossi, Mark; Thayer, Kristina; Tickner, Joel; Whittaker, Margaret; Zarker, Ken

2017-09-01

Alternatives analysis (AA) is a method used in regulation and product design to identify, assess, and evaluate the safety and viability of potential substitutes for hazardous chemicals. It requires toxicological data for the existing chemical and potential alternatives. Predictive toxicology uses in silico and in vitro approaches, computational models, and other tools to expedite toxicological data generation in a more cost-effective manner than traditional approaches. The present article briefly reviews the challenges associated with using predictive toxicology in regulatory AA, then presents 4 recommendations for its advancement. It recommends using case studies to advance the integration of predictive toxicology into AA, adopting a stepwise process to employing predictive toxicology in AA beginning with prioritization of chemicals of concern, leveraging existing resources to advance the integration of predictive toxicology into the practice of AA, and supporting transdisciplinary efforts. The further incorporation of predictive toxicology into AA would advance the ability of companies and regulators to select alternatives to harmful ingredients, and potentially increase the use of predictive toxicology in regulation more broadly. Integr Environ Assess Manag 2017;13:915-925. © 2017 SETAC. © 2017 SETAC.

Relating lab to life: Decrements in attention over time predict math productivity among children with ADHD.

Science.gov (United States)

Fosco, Whitney D; Hawk, Larry W

2017-02-01

A child's ability to sustain attention over time (AOT) is critical in attention-deficit/hyperactivity disorder (ADHD), yet no prior work has examined the extent to which a child's decrement in AOT on laboratory tasks relates to clinically-relevant behavior. The goal of this study is to provide initial evidence for the criterion validity of laboratory assessments of AOT. A total of 20 children with ADHD (7-12 years of age) who were enrolled in a summer treatment program completed two lab attention tasks (a continuous performance task and a self-paced choice discrimination task) and math seatwork. Analyses focused on relations between attention task parameters and math productivity. Individual differences in overall attention (OA) measures (averaged across time) accounted for 23% of the variance in math productivity, supporting the criterion validity of lab measures of attention. The criterion validity was enhanced by consideration of changes in AOT. Performance on all laboratory attention measures deteriorated as time-on-task increased, and individual differences in the decrement in AOT accounted for 40% of the variance in math productivity. The only variable to uniquely predict math productivity was from the self-paced choice discrimination task. This study suggests that attention tasks in the lab do predict a clinically-relevant target behavior in children with ADHD, supporting their use as a means to study attention processes in a controlled environment. Furthermore, this prediction is improved when attention is examined as a function of time-on-task and when the attentional demands are consistent between lab and life contexts.

Brain Death in Islamic Jurisprudence

Directory of Open Access Journals (Sweden)

A Nikzad

2016-07-01

Full Text Available BACKGROUND AND OBJECTIVE: In today's world, Islamic jurisprudence encounters  new issues. One of the areas where jurisprudence gets involved is the issues concerned with brain death, whether brain death in jurisprudence and Islamic law is considered the end of life. In this study, brain death was discussed from the Shiite jurisprudence perspective and also the opinions of the specialists are taken into account. METHODS: This study is designed based on library collection and review of the literature in the field of brain death. Also, Quranic verses, hadiths and fatwas (religious opinions of the scholars are used. Some of the articles which were centered around Islamic jurisprudence, particularly Shiite jurisprudence that explain and deal with brain death were given special consideration. FINDINGS: Brain death from religious and jurisprudence perspective is considered the termination of life and removing the vital organs from the body is not viewed as committing manslaughter. A person with brain death is not a normally known injured man who is still alive. The brain death patinets have no life and getting rid of the body does not constitute a case of manslaughter. Amputation of the organs of brain death patients for donation and transplantation amounts to the amputation of a dead body. If the life of a Muslim is subject to transplant of organs from the body of a brain death patient, it will be permissible. CONCLUSION: In principle, if the life of a Muslim entails transplant of organs of brain death patients, it will be permissible 

Molecular mechanisms of cell death: recommendations of the Nomenclature Committee on Cell Death 2018

OpenAIRE

Galluzzi, L; Vitale, I; Aaronson, Sa; Abrams, Jm; Adam, D; Agostinis, P; Alnemri, Es; Altucci, L; Amelio, I; Andrews, Dw; Annicchiarico-Petruzzelli, M; Antonov, Av; Arama, E; Baehrecke, Eh; Barlev, Na

2018-01-01

Over the past decade, the Nomenclature Committee on Cell Death (NCCD) has formulated guidelines for the definition and interpretation of cell death from morphological, biochemical, and functional perspectives. Since the field continues to expand and novel mechanisms that orchestrate multiple cell death pathways are unveiled, we propose an updated classification of cell death subroutines focusing on mechanistic and essential (as opposed to correlative and dispensable) aspects of the process. A...

Death Education and Attitudes of Counselors-in-Training toward Death: An Exploratory Study

Science.gov (United States)

Harrawood, Laura K.; Doughty, Elizabeth A.; Wilde, Brandon

2011-01-01

This study reviewed how attitudes of counselors-in-training toward death develop after completing a course on death education. Participants included 11 graduate counseling students enrolled in a 2-credit-hour course addressing death and dying, and grief and loss. Qualitative results from a content analysis of free-response narratives suggest the…

Streptococcus sanguinis induces neutrophil cell death by production of hydrogen peroxide.

Science.gov (United States)

Sumioka, Ryuichi; Nakata, Masanobu; Okahashi, Nobuo; Li, Yixuan; Wada, Satoshi; Yamaguchi, Masaya; Sumitomo, Tomoko; Hayashi, Mikako; Kawabata, Shigetada

2017-01-01

Streptococcus is the dominant bacterial genus in the human oral cavity and a leading cause of infective endocarditis. Streptococcus sanguinis belongs to the mitis group of streptococci and produces hydrogen peroxide (H2O2) by the action of SpxB, a pyruvate oxidase. In this study, we investigated the involvement of SpxB in survival of S. sanguinis in human blood and whether bacterial H2O2 exhibits cytotoxicity against human neutrophils. Results of a bactericidal test with human whole blood revealed that the spxB mutation in S. sanguinis is detrimental to its survival in blood. When S. sanguinis strains were exposed to isolated neutrophils, the bacterial survival rate was significantly decreased by spxB deletion. Furthermore, human neutrophils exposed to the S. sanguinis wild-type strain, in contrast to those exposed to an spxB mutant strain, underwent cell death with chromatin de-condensation and release of web-like extracellular DNA, reflecting induction of neutrophil extracellular traps (NETs). Since reactive oxygen species-mediated NET induction requires citrullination of arginine residues in histone proteins and subsequent chromatin de-condensation, we examined citrullination levels of histone in infected neutrophils. It is important to note that the citrullinated histone H3 was readily detected in neutrophils infected with the wild-type strain, as compared to infection with the spxB mutant strain. Moreover, decomposition of streptococcal H2O2 with catalase reduced NET induction. These results suggest that H2O2 produced by S. sanguinis provokes cell death of neutrophils and NET formation, thus potentially affecting bacterial survival in the bloodstream.

Streptococcus sanguinis induces neutrophil cell death by production of hydrogen peroxide.

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Ryuichi Sumioka

Full Text Available Streptococcus is the dominant bacterial genus in the human oral cavity and a leading cause of infective endocarditis. Streptococcus sanguinis belongs to the mitis group of streptococci and produces hydrogen peroxide (H2O2 by the action of SpxB, a pyruvate oxidase. In this study, we investigated the involvement of SpxB in survival of S. sanguinis in human blood and whether bacterial H2O2 exhibits cytotoxicity against human neutrophils. Results of a bactericidal test with human whole blood revealed that the spxB mutation in S. sanguinis is detrimental to its survival in blood. When S. sanguinis strains were exposed to isolated neutrophils, the bacterial survival rate was significantly decreased by spxB deletion. Furthermore, human neutrophils exposed to the S. sanguinis wild-type strain, in contrast to those exposed to an spxB mutant strain, underwent cell death with chromatin de-condensation and release of web-like extracellular DNA, reflecting induction of neutrophil extracellular traps (NETs. Since reactive oxygen species-mediated NET induction requires citrullination of arginine residues in histone proteins and subsequent chromatin de-condensation, we examined citrullination levels of histone in infected neutrophils. It is important to note that the citrullinated histone H3 was readily detected in neutrophils infected with the wild-type strain, as compared to infection with the spxB mutant strain. Moreover, decomposition of streptococcal H2O2 with catalase reduced NET induction. These results suggest that H2O2 produced by S. sanguinis provokes cell death of neutrophils and NET formation, thus potentially affecting bacterial survival in the bloodstream.

Deaths: leading causes for 2010.

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Heron, Melonie

2013-12-20

This report presents final 2010 data on the 10 leading causes of death in the United States by age, sex, race, and Hispanic origin. Leading causes of infant, neonatal, and postneonatal death are also presented. This report supplements the Division of Vital Statistics' annual report of final mortality statistics. Data in this report are based on information from all death certificates filed in the 50 states and the District of Columbia in 2010. Causes of death classified by the International Classification of Diseases, Tenth Revision (ICD-10) are ranked according to the number of deaths assigned to rankable causes. Cause-of-death statistics are based on the underlying cause of death. In 2010, the 10 leading causes of death were, in rank order: Diseases of heart; Malignant neoplasms; Chronic lower respiratory diseases; Cerebrovascular diseases; Accidents (unintentional injuries); Alzheimer's disease; Diabetes mellitus; Nephritis, nephrotic syndrome and nephrosis; Influenza and pneumonia; and Intentional self-harm (suicide). These 10 causes accounted for 75% of all deaths occurring in the United States. Differences in the rankings are evident by age, sex, race, and Hispanic origin. Leading causes of infant death for 2010 were, in rank order: Congenital malformations, deformations and chromosomal abnormalities; Disorders related to short gestation and low birth weight, not elsewhere classified; Sudden infant death syndrome; Newborn affected by maternal complications of pregnancy; Accidents (unintentional injuries); Newborn affected by complications of placenta, cord and membranes; Bacterial sepsis of newborn; Respiratory distress of newborn; Diseases of the circulatory system; and Necrotizing enterocolitis of newborn. Important variations in the leading causes of infant death are noted for the neonatal and post-neonatal periods. All material appearing in this report is in the public domain and may be reproduced or copied without permission; citation as to source

Comparison of outcomes of kidney transplantation from donation after brain death, donation after circulatory death, and donation after brain death followed by circulatory death donors.

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Chen, Guodong; Wang, Chang; Ko, Dicken Shiu-Chung; Qiu, Jiang; Yuan, Xiaopeng; Han, Ming; Wang, Changxi; He, Xiaoshun; Chen, Lizhong

2017-11-01

There are three categories of deceased donors of kidney transplantation in China, donation after brain death (DBD), donation after circulatory death (DCD), and donation after brain death followed by circulatory death (DBCD) donors. The aim of this study was to compare the outcomes of kidney transplantation from these three categories of deceased donors. We retrospectively reviewed 469 recipients who received deceased kidney transplantation in our hospital from February 2007 to June 2015. The recipients were divided into three groups according to the source of their donor kidneys: DBD, DCD, or DBCD. The primary endpoints were delayed graft function (DGF), graft loss, and patient death. The warm ischemia time was much longer in DCD group compared to DBCD group (18.4 minutes vs 12.9 minutes, P < .001). DGF rate was higher in DCD group than in DBD and DBCD groups (22.5% vs 10.2% and 13.8%, respectively, P = .021). Urinary leakage was much higher in DCD group (P = .049). Kaplan-Meier analysis showed that 1-, 2-, and 3-year patient survivals were all comparable among the three groups. DBCD kidney transplantation has lower incidences of DGF and urinary leakage than DCD kidney transplant. However, the overall patient and graft survival were comparable among DBD, DCD, and DBCD kidney transplantation. © 2017 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Predicting the mean cycle time as a function of throughput and product mix for cluster tool workstations using EPT-based aggregate modeling

NARCIS (Netherlands)

Veeger, C.P.L.; Etman, L.F.P.; Herk, van J.; Rooda, J.E.

2009-01-01

Predicting the mean cycle time as a function of throughput and product mix is helpful in making the production planning for cluster tools. To predict the mean cycle time, detailed simulation models may be used. However, detailed models require much development time, and it may not be possible to

Cell death in the pathogenesis of systemic lupus erythematosus and lupus nephritis.

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Mistry, Pragnesh; Kaplan, Mariana J

2017-12-01

Nephritis is one of the most severe complications of systemic lupus erythematosus (SLE). One key characteristic of lupus nephritis (LN) is the deposition of immune complexes containing nucleic acids and/or proteins binding to nucleic acids and autoantibodies recognizing these molecules. A variety of cell death processes are implicated in the generation and externalization of modified nuclear autoantigens and in the development of LN. Among these processes, apoptosis, primary and secondary necrosis, NETosis, necroptosis, pyroptosis, and autophagy have been proposed to play roles in tissue damage and immune dysregulation. Cell death occurs in healthy individuals during conditions of homeostasis yet autoimmunity does not develop, at least in part, because of rapid clearance of dying cells. In SLE, accelerated cell death combined with a clearance deficiency may lead to the accumulation and externalization of nuclear autoantigens and to autoantibody production. In addition, specific types of cell death may modify autoantigens and alter their immunogenicity. These modified molecules may then become novel targets of the immune system and promote autoimmune responses in predisposed hosts. In this review, we examine various cell death pathways and discuss how enhanced cell death, impaired clearance, and post-translational modifications of proteins could contribute to the development of lupus nephritis. Published by Elsevier Inc.

Meaning and death-thought accessibility.

Science.gov (United States)

Van Tongeren, Daryl R; Green, Jeffrey D

2018-01-01

Meaning is a central feature in human life, but death can disrupt a sense of meaning. Two experiments tested the hypothesis that meaning in life and meaning in death are distinct types of meaning when mortality is salient and differentially affect death-thought accessibility (DTA). In Experiment 1, imagining a specific scenario in which meaning is preserved beyond death reduced DTA relative to a standard mortality salience prime; moreover, these effects were not due to changes in self-esteem. In Experiment 2, imagining a meaningful life when mortality is salient elicited greater DTA, whereas imagining meaning in death elicited less DTA. Imbuing death with meaning attenuates DTA, whereas meaning in life increases DTA. © 2017 The British Psychological Society.

Predicting global variation in infectious disease severity

DEFF Research Database (Denmark)

Jensen, Per Moestrup; de Fine Licht, Henrik Hjarvard

2016-01-01

demographic and population data. Results: Birth rates were the best predictor for mumps and malaria CFR. For tuberculosis CFR death rates were the best predictor and for leptospirosis population density was a significant predictor. Conclusions and implications: CFR predictors differed among diseases according...... and leptospirosis and assessed these for association with a range of population characteristics, such as crude birth and death rates, median age of the population, mean body mass index, proportion living in urban areas and tuberculosis vaccine coverage. We then tested this predictive model on Danish his- torical...... have the opposite effect. Accordingly changes in CFR may occur in parallel with demographic transitions. Methodology: We explored the predictability of CFR using data obtained from the World Health Organization (WHO) disease databases for four human diseases: mumps, malaria, tuberculosis...

Death: clinical and forensic anthropological perspectives

OpenAIRE

Etty Indriati, Etty Indriati

2015-01-01

All biological living beings inevitably die, and the ways to die vary although in essence death is a manifestation of the absence of Oxygen in the brain. After death, biological remains undertake proteolysis and decomposition. The aim of this article is to discuss clinical death, cerebral or medicolegal death, social death, phases of cerebral death, and biological process after death—which is important for forensic medicine and forensic anthropology. How long a person die, if the time elaps...

Preventing tomorrow's sudden cardiac death today: part I: Current data on risk stratification for sudden cardiac death.

Science.gov (United States)

Al-Khatib, Sana M; Sanders, Gillian D; Bigger, J Thomas; Buxton, Alfred E; Califf, Robert M; Carlson, Mark; Curtis, Anne; Curtis, Jeptha; Fain, Eric; Gersh, Bernard J; Gold, Michael R; Haghighi-Mood, Ali; Hammill, Stephen C; Healey, Jeff; Hlatky, Mark; Hohnloser, Stefan; Kim, Raymond J; Lee, Kerry; Mark, Daniel; Mianulli, Marcus; Mitchell, Brent; Prystowsky, Eric N; Smith, Joseph; Steinhaus, David; Zareba, Wojciech

2007-06-01

Accurate and timely prediction of sudden cardiac death (SCD) is a necessary prerequisite for effective prevention and therapy. Although the largest number of SCD events occurs in patients without overt heart disease, there are currently no tests that are of proven predictive value in this population. Efforts in risk stratification for SCD have focused primarily on predicting SCD in patients with known structural heart disease. Despite the ubiquity of tests that have been purported to predict SCD vulnerability in such patients, there is little consensus on which test, in addition to the left ventricular ejection fraction, should be used to determine which patients will benefit from an implantable cardioverter defibrillator. On July 20 and 21, 2006, a group of experts representing clinical cardiology, cardiac electrophysiology, biostatistics, economics, and health policy were joined by representatives of the US Food and Drug administration, Centers for Medicare Services, Agency for Health Research and Quality, the Heart Rhythm Society, and the device and pharmaceutical industry for a round table meeting to review current data on strategies of risk stratification for SCD, to explore methods to translate these strategies into practice and policy, and to identify areas that need to be addressed by future research studies. The meeting was organized by the Duke Center for the Prevention of SCD at the Duke Clinical Research Institute and was funded by industry participants. This article summarizes the presentations and discussions that occurred at that meeting.

Social inequality and death as illustrated in late-medieval death dances