Uncertain Process

2014 ◽  
pp. 259-282
Author(s):  
Baoding Liu
Keyword(s):  
Uncertain Process

scholarly journals On Robust State Estimation of Gene Networks

2010 ◽  
Vol 2 ◽  
pp. 117959721000200 ◽  
Author(s):  
Chia-Hua Chuang ◽  
Chun-Liang Lin
Keyword(s):  
Parameter Estimation ◽  
Kalman Filter ◽  
Quantitative Analysis ◽  
State Estimation ◽  
Gene Networks ◽  
Gene Network ◽  
Biological Systems ◽  
Uncertain Process ◽  
Network Systems ◽  
Internal States

Gene networks in biological systems are not only nonlinear but also stochastic due to noise corruption. How to accurately estimate the internal states of the noisy gene networks is an attractive issue to researchers. However, the internal states of biological systems are mostly inaccessible by direct measurement. This paper intends to develop a robust extended Kalman filter for state and parameter estimation of a class of gene network systems with uncertain process noises. Quantitative analysis of the estimation performance is conducted and some representative examples are provided for demonstration.

scholarly journals Rotational mixing in close binaries

2008 ◽  
Vol 4 (S252) ◽  
pp. 365-370 ◽  
Author(s):  
S. E. de Mink ◽  
M. Cantiello ◽  
N. Langer ◽  
S.-Ch. Yoon ◽  
I. Brott ◽  
...  
Keyword(s):  
Massive Stars ◽  
Roche Lobe ◽  
Close Binaries ◽  
Uncertain Process ◽  
Evolutionary Scenario ◽  
Stellar Models

AbstractRotational mixing a very important but uncertain process in the evolution of massive stars. We propose to use close binaries to test its efficiency. Based on rotating single stellar models we predict nitrogen surface enhancements for tidally locked binaries. Furthermore we demonstrate the possibility of a new evolutionary scenario for very massive (M > 40M⊙) close (P < 3 days) binaries: Case M, in which mixing is so efficient that the stars evolve quasi-chemically homogeneously, stay compact and avoid any Roche-lobe overflow, leading to very close (double) WR binaries.

Control of Uncertain Process with Hard Constraints

2000 ◽  
Vol 33 (10) ◽  
pp. 965-969
Author(s):  
José Alberto Bandoni ◽  
José Luis Figueroa
Keyword(s):  
Uncertain Process ◽  
Hard Constraints

scholarly journals A Web-based Tool for Automatically linking Clinical Trials to their Publications

2021 ◽  
Author(s):  
Neil R. Smalheiser ◽  
Arthur W. Holt
Keyword(s):  
Clinical Trials ◽  
Clinical Outcome ◽  
Evidence Synthesis ◽  
Outcome Data ◽  
Uncertain Process ◽  
Multiple Features ◽  
Web Based ◽  
Policy Makers ◽  
Objective Evidence ◽  
Ranked List

Objective. Evidence synthesis teams, physicians, policy makers, and patients and their families all have an interest in following the outcomes of clinical trials and would benefit from being able to evaluate both the results posted in trial registries and in the publications that arise from them. Manual searching for publications arising from a given trial is a laborious and uncertain process. We sought to create a statistical model to automatically identify PubMed articles likely to report clinical outcome results from each registered trial in ClinicalTrials.gov. Materials and Methods. A machine learning-based model was trained on pairs (publications linked to specific registered trials). Multiple features were constructed based on the degree of matching between the PubMed article metadata and specific fields of the trial registry, as well as matching with the set of publications already known to be linked to that trial. Results. Evaluation of the model using NCT-linked articles as gold standard showed that they tend to be top ranked (median best rank = 1.0), and 91% of them are ranked in the top ten. Discussion. Based on this model, we have created a free, public web based tool at http://arrowsmith.psych.uic.edu/cgi-bin/arrowsmith_uic/TrialPubLinking/trial_pub_link_start.cgithat, given any registered trial in ClinicalTrials.gov, presents a ranked list of the PubMed articles in order of estimated probability that they report clinical outcome data from that trial. The tool should greatly facilitate studies of trial outcome results and their relation to the original trial designs.

Turkey's Basic Education Policies for Syrian Refugees Under Temporary Protection

2018 ◽  
pp. 218-226
Author(s):  
Kenan İli
Keyword(s):  
Asylum Seekers ◽  
Basic Education ◽  
Syrian Refugees ◽  
Uncertain Process ◽  
Education Policies ◽  
Temporary Protection ◽  
The Face ◽  
Educational Campaign ◽  
Policies And Practices

Migration and asylum are common historical facts in our geography. Therefore, Turkey faces one of the greatest migration movements of its history. The number of asylum seekers exceeding the estimates, uncertainty of the asylum period and a greatly uncertain process necessitate attaching great importance to education dimension of the problem. The problem of Syrian asylum seekers whose official number is approaching 3 million as of February 2017 creates extraordinary conditions for Turkey. The effect of this situation is reflected in the decisions taken in the field of education. In this context, Turkey started educational campaign by taking important decisions on the education for Syrian neighbors who have strong cultural ties with Turkey and take refuge in her in the face of tragedy they suffered. The primary goal of this study is to evaluate Turkey's policies and practices for Syrian students within the scope of temporary protection.

The Impact of Entrepreneur Personal Characteristics on New Firm Growth

2021 ◽  
pp. 352-377
Author(s):  
Vítor Hugo Santos Ferreira ◽  
Tomás Almeida Luís
Keyword(s):  
Technological Change ◽  
Firm Growth ◽  
Personal Characteristics ◽  
Qualitative Approach ◽  
Mixed Methodology ◽  
Personal Perspective ◽  
Uncertain Process ◽  
Potential Benefits ◽  
New Firm ◽  
The Impact

Entrepreneurship has emerged as a key vector, introducing dynamism in stagnant markets, through technological change, innovation, and process restructuring. However, despite all the potential benefits, this is a very arduous and uncertain process, to the extent that many of the companies created end up failing in the first five years of activity. This chapter aims to study the entrepreneur as an individual, focusing on the analysis of their personal characteristics and their impact on the growth of the new created firm. A mixed methodology was developed to test which personal characteristics impact growth. A questionnaire was carried out on a sample of 87 Portuguese entrepreneurs and, additionally, 10 interviews were held with the purpose of complementing the information of the collected data with a qualitative approach and a more personal perspective. Finally, the results revealed that there are certain characteristics that enhance and influence the growth of startups, the most crucial being leadership, the need for achievement, proactivity, and resilience and adaptability.

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