Methodology to predict long-term cancer survival from short-term data using Tobacco Cancer Risk and Absolute Cancer Cure models

The standard power law approaches widely used to describe creep and creep fracture behavior have not led to theories capable of predicting long-term data. Similarly, traditional parametric methods for property rationalization also have limited predictive capabilities. In contrast, quantifying the shapes of short-term creep curves using the q methodology introduces several physically-meaningful procedures for creep data rationalization and prediction, which allow straightforward estimation of the 100,000 hour stress rupture values for the aluminum alloy, 2124.

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A Multi-Year Examination of Gardening Experience and Fruit and Vegetable Intake During College

Nutrients ◽

10.3390/nu11092088 ◽

2019 ◽

Vol 11 (9) ◽

pp. 2088 ◽

Cited By ~ 2

Author(s):

Daniel Staub ◽

Sarah E. Colby ◽

Melissa D. Olfert ◽

Kendra Kattelmann ◽

Wenjun Zhou ◽

...

Keyword(s):

Vegetable Intake ◽

Fruit And Vegetable Intake ◽

Farmers Markets ◽

Fruit And Vegetable ◽

Short Term ◽

Second Year ◽

Locally Grown ◽

Term Data ◽

Time Point

Gardening has been positively associated with fruit and vegetable (FV) consumption based on short-term studies among children, but long-term data among adolescents and young adults are lacking. This investigation sought to elucidate the association between gardening experience and FV intake among college students over a two-year period. Students (N = 593) from eight universities were assessed at the end of their freshman (Y1) and sophomore (Y2) years during the springs of 2016 and 2017, respectively. At each time point, participants completed the NCI FV Screener and questions related to gardening experience and FV-related attitudes and behaviors. Students were then categorized into four groups based on gardening experience: Gardened only during the first or second year (Y1 only and Y2 only gardeners), gardened both years (Y1+Y2 gardeners), and non-gardeners. While both Y1 only and Y1+Y2 gardeners reported significantly higher FV intake relative to non-gardeners at Y1 (2.3 ± 0.9 and 2.6 ± 0.7 versus 1.9 ± 0.6 cup equivalents (CE)/day, respectively; p < 0.01), only Y1+Y2 gardeners differed from non-gardeners at Y2 (2.4 ± 0.6 versus 1.8 ± 0.5 CE/day; p < 0.001). Additionally, Y1+Y2 gardeners reported more frequent engagement of several FV-related behaviors, including shopping at farmers’ markets, eating locally grown foods, and cooking from basic ingredients; and were five times more likely to have gardened during childhood (OR: 5.2, 95%, CI: 3.5–8.8; p < 0.001). Findings suggest that while isolated gardening experiences during college are associated with FV intake, reoccurring experience may be essential for sustained benefit.

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Lurasidone and risk for metabolic syndrome: results from short- and long-term clinical studies in patients with schizophrenia

CNS Spectrums ◽

10.1017/s1092852920001698 ◽

2020 ◽

pp. 1-11

Author(s):

Michael Tocco ◽

John W. Newcomer ◽

Yongcai Mao ◽

Andrei Pikalov ◽

Antony Loebel

Keyword(s):

Metabolic Syndrome ◽

Dose Range ◽

Dose Effect ◽

Short Term ◽

Open Label ◽

Quetiapine Xr ◽

Long Term Treatment ◽

Short And Long Term ◽

Term Data

Abstract Objective To assess the effects of treatment with lurasidone on risk for metabolic syndrome (MetS) in patients with schizophrenia. Methods Rates of metabolic syndrome during treatment with lurasidone (40-160 mg/d) were analyzed using pooled, short-term data from three randomized, double-blind, placebo-controlled studies (vs olanzapine and quetiapine XR); long-term data from two active-comparator-controlled studies (vs risperidone and quetiapine XR); and data from two open-label studies in which patients were switched from olanzapine or risperidone to lurasidone. Results MetS was defined based on the National Cholesterol Education Program criteria. In short-term studies, the odds of meeting criteria for MetS at week 6 LOCF (adjusted for baseline metabolic syndrome status) was similar for the lurasidone and placebo groups (OR = 1.18; [95% CI, 0.81-1.71]; P = .39), but the odds (vs placebo) were significantly greater for olanzapine (OR = 2.81; [95% CI, 1.53-5.15]; P < .001) and quetiapine (OR = 3.49; [95% CI, 1.93-6.29]; P < .0001). No dose effect was observed for lurasidone across the dose range of 40-160 mg/d. In long-term studies, the odds of MetS after 12 months of treatment was significantly higher for risperidone compared with lurasidone (OR = 2.12; 95% CI, 1.15-3.90; P = .016) and for quetiapine XR compared with lurasidone (OR = 3.92; 95% CI, 1.15-13.40; P = .029). In open-label extension studies, the rate of MetS decreased in patients switched to lurasidone after 6 weeks of treatment with olanzapine or 12 months of treatment with risperidone. Conclusion In this analysis of lurasidone clinical trials, the odds of developing metabolic syndrome were minimal during short- and long-term treatment with lurasidone (40-160 mg/d).

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Developing Models for Matching of Short-term and Long-term Data Collection Sites to Improve the Estimation of Average Annual Daily Bicyclists

2018 21st International Conference on Intelligent Transportation Systems (ITSC) ◽

10.1109/itsc.2018.8569815 ◽

2018 ◽

Author(s):

Mahdie Hasani ◽

Arash Jahangiri ◽

Sahar Ghanipoor Machiani

Keyword(s):

Data Collection ◽

Short Term ◽

Term Data ◽

Collection Sites

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The Shift towards Smart, Green and Integrated Raw Materials Efficiency

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.718.105 ◽

2014 ◽

Vol 718 ◽

pp. 105-109

Author(s):

Eva Oravcová ◽

Miroslav Zelko

Keyword(s):

Decision Support ◽

Raw Materials ◽

Decision Makers ◽

Short Term ◽

Supervision System ◽

Requirements Development ◽

And Control ◽

Term Data

Comprehensive environmental observation, eco-innovation and smartization are essential to ensure the delivery of the long-term data and information required to address the shift towards smart, green and integrated raw materials efficiency. For this reason we need the mine-wide digitalization and informatization base model, an advanced mine-wide decision support system and a smart supervision system to supervise and control the production, back to predefined short-term production targets with most likelihood and optimal approaches. There are three main steps to be taken: analysis, evaluation and determination of the shift requirements, development of the models as well as modeling of the scenarios and connection to the smart platform for the support of the decision makers. The paper aims to consider what would be required for a raw materials area to operate as a modern smart technology-supported business. It attempts to provide a vision of some future smart architectures scenarios.

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Tacrolimus or infliximab for severe ulcerative colitis: short-term and long-term data from a retrospective observational study

BMJ Open Gastroenterology ◽

10.1136/bmjgast-2014-000021 ◽

2015 ◽

Vol 2 (1) ◽

pp. e000021 ◽

Cited By ~ 21

Author(s):

Naoki Minami ◽

Takuya Yoshino ◽

Minoru Matsuura ◽

Yorimitsu Koshikawa ◽

Satoshi Yamada ◽

...

Keyword(s):

Ulcerative Colitis ◽

Observational Study ◽

Retrospective Observational Study ◽

Short Term ◽

Severe Ulcerative Colitis ◽

Term Data

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Variability of seasonal and annual rainfall in the River Nile riparian countries and possible linkages to ocean–atmosphere interactions

Hydrology Research ◽

10.2166/nh.2015.164 ◽

2015 ◽

Vol 47 (1) ◽

pp. 171-184 ◽

Cited By ~ 14

Author(s):

Charles Onyutha

Keyword(s):

Large Scale ◽

Equatorial Region ◽

Annual Rainfall ◽

River Nile ◽

Short Term ◽

Ocean Atmosphere ◽

Data Points ◽

The Difference ◽

Term Data

Variability analyses for the rainfall over the Nile Basin have been confined mostly to sub-basins and the annual mean of the hydroclimatic variable based on observed short-term data from a few meteorological stations. In this paper, long-term country-wide rainfall over the period 1901–2011 was used to assess variability in the seasonal and annual rainfall volumes in all the River Nile countries in Africa. Temporal variability was determined through temporal aggregation of series rescaled nonparametrically in terms of the difference between the exceedance and non-exceedance counts of data points such that the long-term average (taken as the reference) was zero. The co-occurrence of the variability of rainfall with those of the large-scale ocean–atmosphere interactions was analyzed. Between 2000 and 2012, while the rainfall in the equatorial region was increasing, that for the countries in the northern part of the River Nile was below the reference. Generally, the variability in the rainfall of the countries in the equatorial (northern) part of the River Nile was found to be significantly linked to occurrences in the Indian and Atlantic (Pacific and Atlantic) Oceans. Significant linkages to Niño 4 regarding the variability of both the seasonal and annual rainfall of some countries were also evident.

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Analysis of Trends in the FireCCI Global Long Term Burned Area Product (1982–2018)

Fire ◽

10.3390/fire4040074 ◽

2021 ◽

Vol 4 (4) ◽

pp. 74

Author(s):

Gonzalo Otón ◽

José Miguel C. Pereira ◽

João M. N. Silva ◽

Emilio Chuvieco

Keyword(s):

Time Series ◽

Temporal Trends ◽

European Space Agency ◽

Eastern Africa ◽

Burned Area ◽

Data Series ◽

Short Term ◽

The Impact ◽

Term Data

We present an analysis of the spatio-temporal trends derived from long-term burned area (BA) data series. Two global BA products were included in our analysis, the FireCCI51 (2001–2019) and the FireCCILT11 (1982–2018) datasets. The former was generated from Moderate Resolution Imaging Spectroradiometer (MODIS) 250 m reflectance data, guided by 1 km active fires. The FireCCILT11 dataset was generated from Land Long-Term Data Record data (0.05°), which provides a consistent time series for Advanced Very High Resolution Radiometer images, acquired from the NOAA satellite series. FireCCILT11 is the longest time series of a BA product currently available, making it possible to carry out temporal analysis of long-term trends. Both products were developed under the FireCCI project of the European Space Agency. The two datasets were pre-processed to correct for temporal autocorrelation. Unburnable areas were removed and the lack of the FireCCILT11 data in 1994 was examined to evaluate the impact of this gap on the BA trends. An analysis and comparison between the two BA products was performed using a contextual approach. Results of the contextual Mann-Kendall analysis identified significant trends in both datasets, with very different regional values. The long-term series presented larger clusters than the short-term ones. Africa displayed significant decreasing trends in the short-term, and increasing trends in the long-term data series, except in the east. In the long-term series, Eastern Africa, boreal regions, Central Asia and South Australia showed large BA decrease clusters, and Western and Central Africa, South America, USA and North Australia presented BA increase clusters.

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P-OGC70 Chyle leak management and long-term survival post esophagectomy for oesophageal cancer

British Journal of Surgery ◽

10.1093/bjs/znab430.198 ◽

2021 ◽

Vol 108 (Supplement_9) ◽

Author(s):

Alan Askari ◽

Joshua Wong ◽

Amjid Riaz

Keyword(s):

Cancer Survival ◽

Intensive Therapy ◽

Short Term ◽

Chyle Leak ◽

Term Survival ◽

Long Term Survival ◽

Time Period ◽

Leak Management ◽

Overall Mortality

Abstract Background Chyle leak can be a serious complication following oesophagal cancer resection. The aim of this study is to determine the rate of chyle leak, its management and impact on short-term surgical outcomes and overall long-term survival. Methods Analysis of a prospectively maintained database of patients undergoing esophagectomy for oesophagal cancer between January 2011 and April 2019 were undertaken. Short term and survival comparisons were made between the chyle leak and non-chyle leak groups. Results A total of 190 patients underwent esophagectomy at our hospital over this time period, of whom 3.7% (n = 7/190) had a chyle leak. The length of stay was longer in the chyle leak group (27 days, IQR 13-55 vs 12 days, IQR 11-14 days, P=0.001), they had a higher rate of return to theatre (42.9% vs 8.8%, P = 0.003) and higher rate of overall mortality (57.1% vs 35.0%, p = 0.039) compared to the non-leak group. They also experienced worse survival ( 9.0 months, 95% CI 5.5-12.4 vs 66 months, 95% CI 59.6-73.6, P = 0.001). Conclusions Chyle leak can occur in approximately 1 in 25 patients and is associated with prolonged intensive therapy unit stay, higher risk of return to theatre as well as a lower overall cancer survival.

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