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The names of construction activities are the only unstructured data attribute in construction schedules and often guide construction execution. Activity names are devised to communicate between stakeholders, and therefore are...
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Religious Struggles after Typhoon Haiyan
EP Joakim, RP Abbott, RS White
Apr 12, 2017
PURPOSE: This paper examines religious struggles and loss of faith in Christian survivors of Typhoon Haiyan in the Philippines and explores whether any demographic characteristics or experiences during the disaster may have...
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The role of microtubules in microalgae
BACKGROUND: Microtubules in cells are closely related to the growth and metabolism of microalgae. To date, the study of microalgal microtubules has mainly concentrated on revealing the relationship between microtubule...
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Application of Multivariate Video Analysis in English Teaching Effect Evaluation Based on Computational Neural Model Simulation
Video observation and content analysis are used to make a "quantitative-qualitative" analysis of English teachers' teaching behavior reflected in English classroom teaching videos, and to accurately describe, analyze, and...
Research on C2C E-Commerce Taxation Based on Mixed Decision Game
Jiamian Yu, Haiyan Yu
Aug 01, 2021
The rapid rise of C2C e-commerce in China has brought serious difficulties to China's tax collection and management. Based on the principle of progressive taxation, the necessity of Taxation on C2C e-commerce is analyzed and...
A Bayesian decision‐theoretic approach to incorporate preclinical information into phase I oncology trials
Haiyan Zheng, Lisa Hampson
Oct 13, 2020
Leveraging preclinical animal data for a phase I oncology trial is appealing yet challenging. In this paper, we use animal data to improve decision-making in a model-based dose-escalation procedure. We make a proposal for how to...
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Electrochemical removal of anodic aluminium oxide templates for the production of phase-pure cuprous oxide nanorods for antimicrobial surfaces.
Antimicrobial surfaces are ones that incapacitate or kill pathogens landing on them, which could allow for self-sanitising surfaces for hospitals or implants, ensuring healthier stays and procedures. Cuprous compounds such as...
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A Bayesian decision‐theoretic approach to incorporate preclinical information into phase I oncology trials
Haiyan Zheng, Lisa Hampson
Oct 13, 2020
Leveraging preclinical animal data for a phase I oncology trial is appealing yet challenging. In this paper, we use animal data to improve decision-making in a model-based dose-escalation procedure. We make a proposal for how to...
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A Bayesian decision‐theoretic approach to incorporate preclinical information into phase I oncology trials
Haiyan Zheng, Lisa Hampson
Oct 13, 2020
Leveraging preclinical animal data for a phase I oncology trial is appealing yet challenging. In this paper, we use animal data to improve decision-making in a model-based dose-escalation procedure. We make a proposal for how to...
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Accuracy and bias of experts' adjusted forecasts
This study investigates whether experts' group-based judgmental adjustments to econometric forecasts of tourism demand improve the accuracy of the forecasts and whether the adjusted forecasts are unbiased. The Delphi method was...
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A robust Bayesian meta-analytic approach to incorporate animal data into phase I oncology trials
Before a first-in-man trial is conducted, preclinical studies are performed in animals to help characterise the safety profile of the new medicine. We propose a robust Bayesian hierarchical model to synthesise animal and human...
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A robust Bayesian meta-analytic approach to incorporate animal data into phase I oncology trials
Before a first-in-man trial is conducted, preclinical studies are performed in animals to help characterise the safety profile of the new medicine. We propose a robust Bayesian hierarchical model to synthesise animal and human...
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A robust Bayesian meta-analytic approach to incorporate animal data into phase I oncology trials
Before a first-in-man trial is conducted, preclinical studies are performed in animals to help characterise the safety profile of the new medicine. We propose a robust Bayesian hierarchical model to synthesise animal and human...
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Multi-Feature Video Recommendation Based on Hypergraph Convolution for Mobile Edge Environment
With the massive growth of edge devices, how to provide users with video recommendation services in a mobile edge environment has become a research hotspot. Most traditional video recommendation methods regard the relationship...
Accuracy and bias of experts' adjusted forecasts
This study investigates whether experts' group-based judgmental adjustments to econometric forecasts of tourism demand improve the accuracy of the forecasts and whether the adjusted forecasts are unbiased. The Delphi method was...
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Bayesian sample size determination using commensurate priors to leverage preexperimental data.
This paper develops Bayesian sample size formulae for experiments comparing two groups, where relevant preexperimental information from multiple sources can be incorporated in a robust prior to support both the design and...
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Decomposition of Green Agricultural Productivity Gain Under a Multiple-Frontier Framework
This paper investigates structural variation of agricultural productivity growth in China using a multiple-frontier approach. Agricultural productivity gain in Sichuan province is decomposed into technological progress...
Electrochemical removal of anodic aluminium oxide templates for the production of phase-pure cuprous oxide nanorods for antimicrobial surfaces.
Antimicrobial surfaces are ones that incapacitate or kill pathogens landing on them, which could allow for self-sanitising surfaces for hospitals or implants, ensuring healthier stays and procedures. Cuprous compounds such as...

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