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article

Economic comparison between offshore and inshore aquaculture production systems of European sea bass in Italy

Anna Maria Di Trapani, Filippo Sgroi, Riccardo Testa, Salvatore Tudisca, more

Aquaculture > 2014 > 434 > Complete > 334-339

Offshore production system is predicted to increase in the near future driven by the lack of coastal space and lower environmental impacts.The aim of this paper has been to evaluate the economic performance of offshore production system respect to inshore one, by comparing net present value (NPV), discounted payback time (DPBT) and internal rate of return (IRR) of two Italian mariculture farms that...

article

Identification of sensitive parameters in the modeling of SVOC reemission processes from soil to atmosphere

Vincent Loizeau, Philippe Ciffroy, Yelva Roustan, Luc Musson-Genon, more

Science of the Total Environment > 2014 > 493 > Complete > 419-431

Semi-volatile organic compounds (SVOCs) are subject to Long-Range Atmospheric Transport because of transport–deposition–reemission successive processes. Several experimental data available in the literature suggest that soil is a non-negligible contributor of SVOCs to atmosphere. Then coupling soil and atmosphere in integrated coupled models and simulating reemission processes can be essential for...

article

Using probabilistic sampling-based sensitivity analyses for indoor air quality modelling

Payel Das, Clive Shrubsole, Benjamin Jones, Ian Hamilton, more

Building and Environment > 2014 > 78 > Complete > 171-182

We develop a probabilistic framework for modelling indoor air quality in housing stocks, selecting appropriate sensitivity analyses to understand indoor air quality determinants, and constructing a reliable metamodel from the most relevant determinants to allow quick assessments of future intervention scenarios.The replicated Latin Hypercube sampling method is shown to be efficient at propagating...

article

Identification of the significant factors in food safety using global sensitivity analysis and the accept-and-reject algorithm: application to the cold chain of ham

Steven Duret, Laurent Guillier, Hong-Minh Hoang, Denis Flick, more

International Journal of Food Microbiology > 2014 > 180 > Complete > 39-48

Deterministic models describing heat transfer and microbial growth in the cold chain are widely studied. However, it is difficult to apply them in practice because of several variable parameters in the logistic supply chain (e.g., ambient temperature varying due to season and product residence time in refrigeration equipment), the product's characteristics (e.g., pH and water activity) and the microbial...

article

Evaluating the productivity and financial feasibility of a vertical-axis micro-hydro energy generation project using operation simulations

Sy-Ruen Huang, Pao-Long Chang, Ya-Wen Hwang, Yen-Huai Ma, more

Renewable Energy > 2014 > 66 > Complete > 241-250

This study proposes a financial feasibility evaluation method for canal-based micro-hydroelectric energy projects. In numerous countries, the use of river water for irrigation or livelihoods typically necessitates the implementation of diversion projects and the construction of canals. Therefore, this study endeavors to explore the productivity of a canal-based micro-hydropower station and perform...

article

The impact of multinationality on firm value: A comparative analysis of machine learning techniques

Cemil Kuzey, Ali Uyar, Dursun Delen, C. Kuzey, more

Decision Support Systems > 2014 > 59 > Complete > 127-142

In this study, the impact of multinationality (as measured by foreign sales ratio) and fourteen other financial indicators on firm value (characterized by market capitalization and market-to-book ratio) for the period of 1997–2011 was investigated using two popular machine learning techniques: decision trees and artificial neural networks. We divided the time period of 1997–2011 into two periods;...

article

Validation and sensitivity of the FINE Bayesian network for forecasting aquatic exposure to nano-silver

Eric S. Money, Lauren E. Barton, Joseph Dawson, Kenneth H. Reckhow, more

Science of the Total Environment > 2014 > 473-474 > Complete > 685-691

The adaptive nature of the Forecasting the Impacts of Nanomaterials in the Environment (FINE) Bayesian network is explored. We create an updated FINE model (FINE _AgNP-2 ) for predicting aquatic exposure concentrations of silver nanoparticles (AgNP) by combining the expert-based parameters from the baseline model established in previous work with literature data related to particle behavior,...

article

A primer on thermodynamic-based models for deciphering transcriptional regulatory logic

Jacqueline M. Dresch, Megan Richards, Ahmet Ay, J.M. Dresch, more

BBA - Gene Regulatory Mechanisms > 2013 > 1829 > 9 > 946-953

A rigorous analysis of transcriptional regulation at the DNA level is crucial to the understanding of many biological systems. Mathematical modeling has offered researchers a new approach to understanding this central process. In particular, thermodynamic-based modeling represents the most biophysically informed approach aimed at connecting DNA level regulatory sequences to the expression of specific...

article

Reducing the cost of ballast tank corrosion: an economic modeling approach

Kris De Baere, Helen Verstraelen, Philippe Rigo, Steven Van Passel, more

Marine Structures > 2013 > 32 > Complete > 136-152

One of the most relevant problems in ship construction and maintenance nowadays concerns the corrosion in the double hull space ballast tanks of modern merchant vessels. On the one hand, there is a general consensus that the economic life span of such a vessel depends primarily upon the corrosion state of its ballast tanks, while on the other hand, the position of these tanks, squeezed between the...

article

Contribution of symbolic generation to the sensitivity analysis of automotive suspension parameters

Poncelet, Antoine, Collard, Jean-Francois, Fisette, Paul, Poncelet, Antoine, more

Archive of Mechanical Engineering > 2010 > 57 > 2

article

Sensitivity Analysis of Buckling Loads of Bisymmetric I-Section Columns with Bracing Elements

Iwicki, P., Iwicki, P.

Archives of Civil Engineering > 2010 > 1

article

Finite variation sensitivity analysis in the design of isotropic metamaterials through discrete topology optimization

Daniel Candeloro Cunha, Renato Pavanello

International Journal for Numerical Methods in Engineering > 125 > 19 > n/a - n/a

This article extends recently developed finite variation sensitivity analysis (FVSA) approaches to an inverse homogenization problem. The design of metamaterials with prescribed mechanical properties is stated as a discrete density‐based topology optimization problem, in which the design variables define the microstructure of the periodic base cell. The FVSA consists in estimating the finite variations...

article

An economic analysis of bamboo plantations and feedstock delivered cost in the Southern US for the manufacturing of fiber‐based bioproducts

Keren A. Vivas, Ramon E. Vera, Richard B. Phillips, Naycari Forfora, more

Biofuels, Bioproducts and Biorefining > 18 > 5 > 1455 - 1474

Bamboo, recognized for its rapid growth, high yield, and fiber performance is prominent in the fiber‐based bioproduct industry. However, the absence of US industrial bamboo plantations for fiber production necessitates reliance on imports or locally manufactured products using imported bamboo fibers, predominantly from China. This study evaluates the economic viability of cultivating bamboo in the...

article

Global sensitivity analysis with multifidelity Monte Carlo and polynomial chaos expansion for vascular haemodynamics

Friederike Schäfer, Daniele E. Schiavazzi, Leif Rune Hellevik, Jacob Sturdy

International Journal for Numerical Methods in Biomedical Engineering > 40 > 8 > n/a - n/a

Computational models of the cardiovascular system are increasingly used for the diagnosis, treatment, and prevention of cardiovascular disease. Before being used for translational applications, the predictive abilities of these models need to be thoroughly demonstrated through verification, validation, and uncertainty quantification. When results depend on multiple uncertain inputs, sensitivity analysis...

article

Concentration of betanin from model beetroot extracts by using nanofiltration: parameter estimation and sensitivity analysis

Ashwani Kumar Tiwari, Manish Jain

Journal of Chemical Technology & Biotechnology > 99 > 9 > 1976 - 1983

BACKGROUND Nowadays, research focusing on natural compounds is getting more importance across the globe. Recently, natural bioactive compounds have gained the attention of researchers as a consequence of their exemplary physicochemical properties and exceptional utility in the food and pharma industries. However, separating and concentrating these bioactive compounds from their origin sources still...

article

Computational modeling and uncertainty prediction of hyperelastic constitutive responses of damaged brain tissue under different temperature and strain rates

Ashish Kumar Meher, A. Jyotiraditya Srinivas, Vikash Kumar, Subrata Kumar Panda

Journal of Biomedical Materials Research Part B: Applied Biomaterials > 112 > 8 > n/a - n/a

The effect of strain rate and temperature on the hyperelastic material stress–strain characteristics of the damaged porcine brain tissue is evaluated in this present work. The desired constitutive responses are obtained using the commercially available finite element (FE) tool ABAQUS, utilizing 8‐noded brick elements. The model's accuracy has been verified by comparing the results from the previously...

article

Sensitivity analysis for principal ignorability violation in estimating complier and noncomplier average causal effects

Trang Quynh Nguyen, Elizabeth A. Stuart, Daniel O. Scharfstein, Elizabeth L. Ogburn

Statistics in Medicine > 43 > 19 > 3664 - 3688

An important strategy for identifying principal causal effects (popular estimands in settings with noncompliance) is to invoke the principal ignorability (PI) assumption. As PI is untestable, it is important to gauge how sensitive effect estimates are to its violation. We focus on this task for the common one‐sided noncompliance setting where there are two principal strata, compliers and noncompliers...

article

The flaw of averages: Bayes factors as posterior means of the likelihood ratio

Charles C. Liu, Ron Xiaolong Yu, Murray Aitkin

Pharmaceutical Statistics > 23 > 4 > 466 - 479

As an alternative to the Frequentist p‐value, the Bayes factor (or ratio of marginal likelihoods) has been regarded as one of the primary tools for Bayesian hypothesis testing. In recent years, several researchers have begun to re‐analyze results from prominent medical journals, as well as from trials for FDA‐approved drugs, to show that Bayes factors often give divergent conclusions from those of...

article

Generalizing minimum safe operating altitudes for fixed‐wing UAVs in real‐time

Ashford Milne, Alex McConville, Thomas Richardson, Matt Watson, more

Journal of Field Robotics > 41 > 5 > 1408 - 1425

This paper discusses a method of determining the minimum safe altitude of an uncrewed aerial vehicle (UAV) at any point within a designated airspace by conducting a glide reachability analysis. Recently, fixed‐wing UAVs are more regularly deployed near population centers and in extreme environments, requiring increasingly robust emergency systems and planning. The long‐ranges and adverse terrain associated...

article

Optimization of computational intelligence approach for the prediction of glutinous rice dehydration

Kabiru Ayobami Jimoh, Norhashila Hashim, Rosnah Shamsudin, Hasfalina Che Man, more

Journal of the Science of Food and Agriculture > 104 > 10 > 6208 - 6220

BACKGROUND Five computational intelligence approaches, namely Gaussian process regression (GPR), artificial neural network (ANN), decision tree (DT), ensemble of trees (EoT) and support vector machine (SVM), were used to describe the evolution of moisture during the dehydration process of glutinous rice. The hyperparameters of the models were optimized with three strategies: Bayesian optimization,...

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Search results

Economic comparison between offshore and inshore aquaculture production systems of European sea bass in Italy

Identification of sensitive parameters in the modeling of SVOC reemission processes from soil to atmosphere

Using probabilistic sampling-based sensitivity analyses for indoor air quality modelling

Identification of the significant factors in food safety using global sensitivity analysis and the accept-and-reject algorithm: application to the cold chain of ham

Evaluating the productivity and financial feasibility of a vertical-axis micro-hydro energy generation project using operation simulations

The impact of multinationality on firm value: A comparative analysis of machine learning techniques

Validation and sensitivity of the FINE Bayesian network for forecasting aquatic exposure to nano-silver

A primer on thermodynamic-based models for deciphering transcriptional regulatory logic

Reducing the cost of ballast tank corrosion: an economic modeling approach

Contribution of symbolic generation to the sensitivity analysis of automotive suspension parameters

Sensitivity Analysis of Buckling Loads of Bisymmetric I-Section Columns with Bracing Elements

Finite variation sensitivity analysis in the design of isotropic metamaterials through discrete topology optimization

An economic analysis of bamboo plantations and feedstock delivered cost in the Southern US for the manufacturing of fiber‐based bioproducts

Global sensitivity analysis with multifidelity Monte Carlo and polynomial chaos expansion for vascular haemodynamics

Concentration of betanin from model beetroot extracts by using nanofiltration: parameter estimation and sensitivity analysis

Computational modeling and uncertainty prediction of hyperelastic constitutive responses of damaged brain tissue under different temperature and strain rates

Sensitivity analysis for principal ignorability violation in estimating complier and noncomplier average causal effects

The flaw of averages: Bayes factors as posterior means of the likelihood ratio

Generalizing minimum safe operating altitudes for fixed‐wing UAVs in real‐time

Optimization of computational intelligence approach for the prediction of glutinous rice dehydration

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