Potential integration of multi-fitting, inverse problem and mechanistic modelling approaches to applied research in animal science: a review

2014 ◽  
Vol 54 (12) ◽  
pp. 1905 ◽  
Author(s):  
L. M. Vargas-Villamil ◽  
L. O. Tedeschi
Keyword(s):  
Applied Research ◽  
Integrated Approach ◽  
Integral Approach ◽  
Biological Processes ◽  
Data Modelling ◽  
Animal Science ◽  
Potential Capacity ◽  
Complex Models ◽  
Number Of Publications ◽  
Modelling Approaches

Modern researchers working in applied animal science systems have faced issues with modelling huge quantities of data. Modelling approaches that have previously been used to model biological systems are having problems to adapt to increased number of publications and research. So as to develop new approaches that have the potential to deal with these fast-changing complex conditions, it is relevant to review modern modelling approaches that have been used successfully in other fields. Therefore, this paper reviews the potential capacity of new integrated applied animal-science approaches to discriminate parameters, interpret data and understand biological processes. The analysis shows that the principal challenge is handling ill-conditioned complex models, but an integrated approach can obtain meaningful information from complementary data that cannot be obtained from present applied animal-science approaches. Furthermore, it is shown that parameter sloppiness and data complementarity are key concepts during system behaviour restrictions and parameter discrimination. Additionally, model evaluation and implementation of the potential integrated approach are reviewed. Finally, the objective of an integral approach is discussed. Our conclusion is that these approaches have the potential to be used to deepen the understanding of applied animal systems, and that exist enough developed resources and methodologies to deal with the huge quantities of data associated with this science.

scholarly journals Synergies in the Land Use Sector: What Is the Best Policy Approach When Co-benefits and Trade-offs Are Involved?

2020 ◽  
Vol 6 (53) ◽  
pp. 53-69
Author(s):  
Martin Lopez
Keyword(s):  
Land Use ◽  
Integrated Approach ◽  
Integral Approach ◽  
Welfare Gains ◽  
Deep Uncertainty ◽  
Adaptation Measures ◽  
Address Climate Change ◽  
Mitigation And Adaptation ◽  
Trade Offs ◽  
Welfare Implications

AbstractMitigation and adaptation are the main strategies to address climate change. Both of them are interrelated instruments and key elements of an integral approach to tackle the phenomenon. This interrelation is particularly strong in the land use sector, an area in which practically any policy has a significant effect on the goals of both strategies. Yet, in practice, mitigation and adaptation are treated as two different instruments. A poor understanding about the interactions between the mentioned strategies remains as a barrier to implement the integrated approach. To contribute to fill-in this knowledge gap, a hypothetical ecologic-economic system simulated under deep uncertainty was used to test environmental and welfare implications of different policy configurations. Taking the unregulated economy as a benchmark, the outcomes of the mentioned interventions were classified as synergies or different forms of trade-offs. Results indicate that measures based on internalization of externalities overcame monetary compensation schemes. Moreover, when externalities were corrected, synergies were more frequent and associated to higher environmental and welfare gains. Furthermore, the policy configuration that exhibited best synergic properties was an intervention integrating mitigation and adaptation measures. This indicates that synergies may be more accessible than previously considered, however, current policy approach and incentives may not be the best tools to trigger them.

scholarly journals An Integrated Approach to the Biological Reactor–Sedimentation Tank System

Resources ◽  
2019 ◽  
Vol 8 (2) ◽  
pp. 94 ◽  
Author(s):  
Serena Conserva ◽  
Fabio Tatti ◽  
Vincenzo Torretta ◽  
Navarro Ferronato ◽  
Paolo Viotti
Keyword(s):  
Activated Sludge ◽  
Biological Process ◽  
Wastewater Treatment Plants ◽  
Great Influence ◽  
Integrated Approach ◽  
Biological Processes ◽  
Sludge Characteristics ◽  
Activated Sludge System ◽  
Proposed Model ◽  
Tank System

Secondary clarifiers are demanded to separate solids created in activated sludge biological processes to achieve both a clarified effluent and to manage the biological processes itself. Indeed, the biological process may influence the sludge characteristics, and conversely, the settling efficiency of the sedimentation basin plays an important role on the biological process in the activated sludge system. The proposed model represents a tool for better addressing the design and management of activated sludge system in wastewater treatment plants. The aim is to develop a numerical model which takes into account both the conditions in the biological reactor and the sludge characteristics coupled to the hydrodynamic behavior of a clarifier tank. The obtained results show that the different conditions in the reactor exert a great influence on the sedimentation efficiency.

Applied Research on New Pig Housing Systems

1996 ◽  
Vol 25 (4) ◽  
pp. 257-261 ◽  
Author(s):  
L. A. Den Hartog ◽  
H. M. Vermeer ◽  
J. W. G. M. Swinkels ◽  
N. Verdoes ◽  
G. B. C. Backus
Keyword(s):  
The Netherlands ◽  
Animal Welfare ◽  
Applied Research ◽  
Environmental Regulations ◽  
Integrated Approach ◽  
Housing Systems

Developments In pig housing during the last decade have been influenced not only by economics but also by animal welfare and environmental regulations. Because the different requirements may cause conflicts for some aspects of pig housing, an integrated approach is necessary. Housing systems which partly or fully meet today's animal welfare and environmental regulations in the Netherlands are described.

scholarly journals An overview of mixture modelling for latent evolutions in longitudinal data: Modelling approaches, fit statistics and software

2020 ◽  
Vol 43 ◽  
pp. 100323 ◽  
Author(s):  
Gavin van der Nest ◽  
Valéria Lima Passos ◽  
Math J.J.M. Candel ◽  
Gerard J.P. van Breukelen
Keyword(s):  
Longitudinal Data ◽  
Data Modelling ◽  
Mixture Modelling ◽  
Fit Statistics ◽  
Modelling Approaches

scholarly journals Cloud and cluster computing in uncertainty analysis of integrated flood models

2012 ◽  
Vol 15 (1) ◽  
pp. 55-70 ◽  
Author(s):  
V. Moya Quiroga ◽  
I. Popescu ◽  
D. P. Solomatine ◽  
L. Bociort
Keyword(s):  
Uncertainty Analysis ◽  
Cluster Computing ◽  
Uncertainty Propagation ◽  
Integrated Approach ◽  
Computer Time ◽  
Monte Carlo Sampling ◽  
Water Levels ◽  
Efficient Technology ◽  
Management Actions ◽  
Complex Models

There is an increased awareness of the importance of flood management aimed at preventing human and material losses. A wide variety of numerical modelling tools have been developed in order to make decision-making more efficient, and to better target management actions. Hydroinformatics assumes the holistic integrated approach to managing the information propagating through models, and analysis of uncertainty propagation through models is an important part of such studies. Many popular approaches to uncertainty analysis typically involve various strategies of Monte Carlo sampling of uncertain variables and/or parameters and running a model a large number of times, so that in the case of complex river systems this procedure becomes very time-consuming. In this study the popular modelling systems HEC-HMS, HEC-RAS and Sobek1D2D were applied to modelling the hydraulics of the Timis–Bega basin in Romania. We considered the problem of studying how the flood inundation is influenced by uncertainties in water levels of the reservoirs in the catchment, and uncertainties in the digital elevation model (DEM) used in the 2D hydraulic model. For this we used cloud computing (Amazon Elastic Compute Cloud platform) and cluster computing on the basis of a number of office desktop computers, and were able to show their efficiency, leading to a considerable reduction of the required computer time for uncertainty analysis of complex models. The conducted experiments allowed us to associate probabilities to various areas prone to flooding. This study allows us to draw a conclusion that cloud and cluster computing offer an effective and efficient technology that makes uncertainty-aware modelling a practical possibility even when using complex models.

scholarly journals The approaches to the description of innovations in the modern Ukrainian neography

2020 ◽  
Vol 76 (2) ◽  
pp. 105-125
Author(s):  
Ievgeniia Karpilovska
Keyword(s):  
Integrated Approach ◽  
Integral Approach ◽  
Basic Unit ◽  
Official Language ◽  
Differential Approach ◽  
Functional Potential ◽  
Degree Of Stability ◽  
Linguistic Activity ◽  
Intensive Development ◽  
Ukrainian Society

The intensive development of the Ukrainian language at the turn of the 21st century due to its new status as the official language of independent Ukraine, the essential changes in Ukrainian society and Ukraine?s openness to globalisation have led to the forming of new disciplines in Ukrainian linguistics - neology and neography. They present two interconnected approaches to the analysis and lexicographic description of new language units (innovations) - the differential and the integral approach. The first approach involves the study of innovations in comparison with the existing units of the language, the search of criteria for determining their types by the features of their novelty in the language system and in text. The second approach focuses on the degree of stability of innovations in modern Ukrainian, i.e. the importance of concepts they verbalise in the conceptual and the linguistic worldview of the modern Ukrainians. The functional potential of a certain innovation in the linguistic activity of a society is an indicator of the degree of its stability in the language. It is a set of units consisting of innovation by paradigmatic, syntagmatic and epidigmatic (derivational) relations. The analysis of the word as the basic unit of Ukrainian nomination, prediction and evaluation enable the identification of other types of language innovations. The modern Ukrainian lexicon presents the following types of neologisms: new derivatives, new borrowings, neosemanticisms, neographisms, actualised and returned words. The application of the differential approach is advisable when gathering new language material, whereas the integrated approach is necessary when identifying the stabilised linguistic innovations, as it can be a resource for replenishing the general lexicon of a language. The results of the analysis of this new lexicon are presented in the differential and integral neological dictionaries.

scholarly journals ANALYSIS OF THEORETICAL AND METHODOLOGICAL PRINCIPLES OF ENTERPRISES INVESTMENT ATTRACTION EVALUATION

2018 ◽  
pp. 18-22
Author(s):  
Dmytro Prunenko ◽  
Yevhenii Hrytskov ◽  
Abolkhasanzad Alyreza
Keyword(s):  
Financial Reporting ◽  
Methodological Approach ◽  
Integrated Approach ◽  
Integral Approach ◽  
Enterprise Management ◽  
Comparative Approach ◽  
Corporate Information System ◽  
Methodological Principles ◽  
Definition Of ◽  
Integral Indicator

The purpose of the article is to systematize theoretical and methodological principles and justify the application of an integrated approach to assess the investment attractiveness of enterprises. Among the approaches we can highlight the following ones: cost, spatial, income, factor, matrix, integral, analytical, approach, which is based on determination of the current and future status of investment attractiveness of enterprises, comparative, approach, which is based on the system of qualitative and quantitative indicators that is applied to assess the investment attractiveness of enterprises, approach, which is based on the application of the correlation and regression analysis method, an investment-based approach. In order to determine the investment attractiveness, it is proposed to use an integral approach based on appropriate methods and models that allows us to estimate the integral indicator for the formation of the estimated basis for increasing the investment attractiveness of the subjects of management. The methodological approach to the integrated assessment of the investment attractiveness of enterprises is proposed. It is based on the definition of the integral indicator and the application of analytical, expert and hierarchy analysis methods by modelling the investment attractiveness indicators. This approach enables to form informational and analytical support for the development of the enterprise management strategy. It has been determined the information and analytical support for estimating the investment attractiveness of enterprises on the basis of accounting and financial reporting, data on the application of technologies and means of production, level of preparation and use of workers, features of the material and technical base, directions of interaction between different groups of interested persons, information regarding the application of scientific and technical development, which ensures the security of the corporate information system, the quality and completeness of information.

scholarly journals Dynamical Cognitive Modeling of Syntactic Processing and Eye Movement Control in Reading

2021 ◽  
Author(s):  
Maximilian M. Rabe ◽  
Dario Paape ◽  
Shravan Vasishth ◽  
Ralf Engbert
Keyword(s):  
Eye Movement ◽  
Language Processing ◽  
Sentence Processing ◽  
Cognitive Modeling ◽  
Movement Control ◽  
Integrated Approach ◽  
Parameter Inference ◽  
Eye Movement Control ◽  
Time Patterns ◽  
Complex Models

Integrating eye-movement control and sentence processing would mark an important step forward for mathematical models of natural language processing. We present an integrated approach by combining the SWIFT model of eye-movement control (Engbert et al., 2005) with key components of the LV05 (Lewis & Vasishth, 2005) parser. The integrated generative model can reproduce reading time patterns that have been explained in terms of similarity-based interference in the psycholinguistic literature. A crucial problem for such complex models is parameter estimation. We build upon recent advances on successful parameter identification in dynamical models, investigate likelihood profiles for single parameters, and present pilot results on MCMC sampling within a Bayesian framework of parameter inference.

scholarly journals A New and Integral Approach to the Etiopathogenesis and Treatment of Breast Cancer based upon its Hydrogen Ion Dynamics

2019 ◽  
Author(s):  
Salvador Harguindey ◽  
Khalid Alfarouk ◽  
Julián Polo Orozco ◽  
Kevin Hardonniere ◽  
Daniel Stanciu ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Integrated Approach ◽  
Metabolic Model ◽  
Hydrogen Ion ◽  
Integral Approach ◽  
Main Stream ◽  
Ion Dynamics ◽  
Cancer Pathology ◽  
Breast Cancer Pathology ◽  
First Time

Despite all efforts, the treatment of breast cancer (BC) cannot be considered to be a success story. The advances in surgery, chemotherapy and radiotherapy have not been sufficient. Indeed, the accumulated experience clearly indicates that new perspectives and non-main stream approaches are needed to better characterize the etiopathogenesis and treatment of this disease. This contibution deals with how the new pH-centric anticancer paradigm plays a fundamental role in reaching a more integral understanding of the etiology, etiopathogenesis and treatment of this multifactorial disease. For the first time the armamentarium available for the treatment of the different types and phases of BC is approached here from a Unitarian perspective based upon the hydrogen ion dynamics of cancer. The wide-ranged pH-related molecular, biochemical and metabolic model is able to embrace most the fields and subfields of breast cancer pathology. This single and integrated approach allows to advance a unidirectional program to treatment. Further efforts in this line are likely to first improve the therapeutics of each subtype of this tumor, then every phase of the disease and finally every individual patient.

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