Relevant bibliographies by topics / BBN modelling

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Academic literature on the topic 'BBN modelling'

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Published: 1 April 2023

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Journal articles on the topic "BBN modelling"

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Wee, Yit Yin, Shing Chiang Tan, and KuokKwee Wee. "Reducing the Complexity of Casual Representation in Bayesian Belief Network." F1000Research 10 (December 6, 2021): 1243. http://dx.doi.org/10.12688/f1000research.73480.1.

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Background: Bayesian Belief Network (BBN) is a well-established causal framework that is widely adopted in various domains and has a proven track record of success in research and application areas. However, BBN has weaknesses in causal knowledge elicitation and representation. The representation of the joint probability distribution in the Conditional Probability Table (CPT) has increased the complexity and difficulty for the user either in comprehending the causal knowledge or using it as a front-end modelling tool. Methods: This study aims to propose a simplified version of the BBN ─ Bayesian causal model, which can represent the BBN intuitively and proposes an inference method based on the simplified version of BBN. The CPT in the BBN is replaced with the causal weight in the range of[-1,+1] to indicate the causal influence between the nodes. In addition, an inferential algorithm is proposed to compute and propagate the influence in the causal model. Results: A case study is used to validate the proposed inferential algorithm. The results show that a Bayesian causal model is able to predict and diagnose the increment and decrement as in BBN. Conclusions: The Bayesian causal model that serves as a simplified version of BBN has shown its advantages in modelling and representation, especially from the knowledge engineering perspective.
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Ale, Ben, Coen van Gulijk, Anca Hanea, Daniela Hanea, Patrick Hudson, Pei-Hui Lin, and Simone Sillem. "Towards BBN based risk modelling of process plants." Safety Science 69 (November 2014): 48–56. http://dx.doi.org/10.1016/j.ssci.2013.12.007.

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Sleiman, Joseph, David J. Savage, Benjamin Switzer, Colleen Y. Colbert, Cory Chevalier, Kathleen Neuendorf, and David Harris. "Teaching residents how to break bad news: piloting a resident-led curriculum and feedback task force as a proof-of-concept study." BMJ Simulation and Technology Enhanced Learning 7, no. 6 (June 22, 2021): 568–74. http://dx.doi.org/10.1136/bmjstel-2021-000897.

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BackgroundBreaking bad news (BBN) is a critically important skill set for residents. Limited formal supervision and unpredictable timing of bad news delivery serve as barriers to the exchange of meaningful feedback.Purpose of studyThe goal of this educational innovation was to improve internal medicine residents’ communication skills during challenging BBN encounters. A formal BBN training programme and innovative on-demand task force were part of this two-phase project.Study designInternal medicine residents at a large academic medical centre participated in an interactive workshop focused on BBN. Workshop survey results served as a needs assessment for the development of a novel resident-led BBN task force. The task force was created to provide observations at the bedside and feedback after BBN encounters. Training of task force members incorporated video triggers and a feedback checklist. Inter-rater reliability was analysed prior to field testing, which provided data on real-world implementation challenges.Results148 residents were trained during the 2-hour communications skills workshop. Based on survey results, 73% (108 of 148) of the residents indicated enhanced confidence in BBN after participation. Field testing of the task force on a hospital ward revealed potential workflow barriers for residents requesting observations and prompted troubleshooting. Solutions were implemented based on field testing results.ConclusionsA trainee-led BBN task force and communication skills workshop is offered as an innovative model for improving residents’ interpersonal and communication skills in BBN. We believe the model is both sustainable and reproducible. Lessons learnt are offered to aid in implementation in other settings.
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Zhan, Yuexing, and Xinrui Niu. "Tuning methods and mechanical modelling of hydrogels." Bioinspired, Biomimetic and Nanobiomaterials 4, no. 2 (June 2015): 140–54. http://dx.doi.org/10.1680/bbn.14.00029.

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Philip, Babitha, and Hamad Al Jassmi. "A Bayesian Approach towards Modelling the Interrelationships of Pavement Deterioration Factors." Buildings 12, no. 7 (July 18, 2022): 1039. http://dx.doi.org/10.3390/buildings12071039.

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In this study, Bayesian Belief Networks (BBN) are proposed to model the relationships between factors contributing to pavement deterioration, where their values are probabilistically estimated based on their interdependencies. Such probabilistic inferences are deemed to provide a reasonable alternative over costly data collection campaigns and assist in road condition diagnoses and assessment efforts in cases where data are only partially available. The BBN models examined in this study are based on a vast database of pavement deterioration factors including road distress data, namely cracking, deflection, the International Roughness Index (IRI) and rutting, from major road sections in the United Arab Emirates (UAE) along with the corresponding traffic and climatic factors. The dataset for the analysis consisted of 3272 road sections, each of 10 m length. The test results showed that the most critical parameter representing the whole process of road deterioration is the IRI with the highest nodal force. Additionally, IRI is strongly correlated with rutting and deflection, with mutual information of 0.147 and 0.143, respectively. Furthermore, a Bayesian network structure with a contingency table fit of over 90% illustrates how the road distress parameters change in the presence of external factors, such as traffic and climatic conditions.
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Ghahramani, Afshin, John McLean Bennett, Aram Ali, Kathryn Reardon-Smith, Glenn Dale, Stirling D. Roberton, and Steven Raine. "A Risk-Based Approach to Mine-Site Rehabilitation: Use of Bayesian Belief Network Modelling to Manage Dispersive Soil and Spoil." Sustainability 13, no. 20 (October 13, 2021): 11267. http://dx.doi.org/10.3390/su132011267.

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Dispersive spoil/soil management is a major environmental and economic challenge for active coal mines as well as sustainable mine closure across the globe. To explore and design a framework for managing dispersive spoil, considering the complexities as well as data availability, this paper has developed a Bayesian Belief Network (BBN)-a probabilistic predictive framework to support practical and cost-effective decisions for the management of dispersive spoil. This approach enabled incorporation of expert knowledge where data were insufficient for modelling purposes. The performance of the model was validated using field data from actively managed mine sites and found to be consistent in the prediction of soil erosion and ground cover. Agreement between predicted soil erosion probability and field observations was greater than 74%, and greater than 70% for ground cover protection. The model performance was further noticeably improved by calibration of Conditional Probability Tables (CPTs). This demonstrates the value of the BBN modelling approach, whereby the use of currently best-available data can provide a practical result, with the capacity for significant model improvement over time as more (targeted) data come to hand.
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Ghahramani, Afshin, John McLean Bennett, Aram Ali, Kathryn Reardon-Smith, Glenn Dale, Stirling D. Roberton, and Steven Raine. "A Risk-Based Approach to Mine-Site Rehabilitation: Use of Bayesian Belief Network Modelling to Manage Dispersive Soil and Spoil." Sustainability 13, no. 20 (October 13, 2021): 11267. http://dx.doi.org/10.3390/su132011267.

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Dispersive spoil/soil management is a major environmental and economic challenge for active coal mines as well as sustainable mine closure across the globe. To explore and design a framework for managing dispersive spoil, considering the complexities as well as data availability, this paper has developed a Bayesian Belief Network (BBN)-a probabilistic predictive framework to support practical and cost-effective decisions for the management of dispersive spoil. This approach enabled incorporation of expert knowledge where data were insufficient for modelling purposes. The performance of the model was validated using field data from actively managed mine sites and found to be consistent in the prediction of soil erosion and ground cover. Agreement between predicted soil erosion probability and field observations was greater than 74%, and greater than 70% for ground cover protection. The model performance was further noticeably improved by calibration of Conditional Probability Tables (CPTs). This demonstrates the value of the BBN modelling approach, whereby the use of currently best-available data can provide a practical result, with the capacity for significant model improvement over time as more (targeted) data come to hand.
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Bruen, Michael, Thibault Hallouin, Michael Christie, Ronan Matson, Ewa Siwicka, Fiona Kelly, Craig Bullock, Hugh B. Feeley, Edel Hannigan, and Mary Kelly-Quinn. "A Bayesian Modelling Framework for Integration of Ecosystem Services into Freshwater Resources Management." Environmental Management 69, no. 4 (February 16, 2022): 781–800. http://dx.doi.org/10.1007/s00267-022-01595-x.

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AbstractModels of ecological response to multiple stressors and of the consequences for ecosystem services (ES) delivery are scarce. This paper describes a methodology for constructing a BBN combining catchment and water quality model output, data, and expert knowledge that can support the integration of ES into water resources management. It proposes “small group” workshop methods for elucidating expert knowledge and analyses the areas of agreement and disagreement between experts. The model was developed for four selected ES and for assessing the consequences of management options relating to no-change, riparian management, and decreasing or increasing livestock numbers. Compared with no-change, riparian management and a decrease in livestock numbers improved the ES investigated to varying degrees. Sensitivity analysis of the expert information in the BBN showed the greatest disagreements between experts were mainly for low probability situations and thus had little impact on the results. Conversely, in our applications, the best agreement between experts tended to occur for the higher probability, more likely, situations. This has implications for the practical use of this type of model to support catchment management decisions. The complexity of the relationship between management measures, the water quality and ecological responses and resulting changes in ES must not be a barrier to making decisions in the present time. The interactions of multiple stressors further complicate the situation. However, management decisions typically relate to the overall character of solutions and not their detailed design, which can follow once the nature of the solution has been chosen, for example livestock management or riparian measures or both.
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Allik, Henno, Stewart Moore, Elizabeth O'Neil, and Eric Tenenbaum. "Finite element analysis on the BBN butterfly multiprocessor." Computers & Structures 27, no. 1 (January 1987): 13–21. http://dx.doi.org/10.1016/0045-7949(87)90177-5.

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Mat Alipiah, Roseliza, Fathilah Ismail, Siti Aisyah Saat, and Ahmad Puad Mat Som. "Modelling the Impacts of Aquaculture in Wetland Ecosystems for Sustainable Aquaculture Management: An Integrated Ecosystem Approach." International Journal of Engineering & Technology 7, no. 4.34 (December 13, 2018): 197. http://dx.doi.org/10.14419/ijet.v7i4.34.23887.

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This research integrates information from both environmental and social sciences to inform effective management of the wetlands. A three-stage research framework was developed for modelling the drivers and pressures imposed on the wetlands and their impacts to the ecosystem and the local communities. Firstly, a Bayesian Belief Network (BBN) was used to predict the probability of anthropogenic activities affecting the delivery of different key wetland ecosystem services under different management scenarios. Secondly, Choice Experiment (CE) was used to quantify the relative preferences which key wetland stakeholder group (aquaculturists) held for delivery of different levels of these key ecosystem services. Thirdly, a Multi-Criteria Decision Analysis (MCDA) was applied to produce an ordinal ranking of the alternative management scenarios accounting for their impacts upon ecosystem service delivery as perceived through the preferences of the aquaculturists. This integrated ecosystem management approach was applied to a wetland ecosystem in Setiu, Terengganu, Malaysia which currently supports a significant level of aquaculture activities. This research has produced clear guidelines to inform policy makers considering alternative wetland management scenarios: Intensive Aquaculture, Conservation or Ecotourism, in addition to the Status Quo. The findings of this research are as follows. The BBN revealed that current aquaculture activity is likely to have significant impacts on water column nutrient enrichment, but trivial impacts on caged fish biomass, especially under the Intensive Aquaculture scenario. Secondly, the best fitting CE models identified several stakeholder sub-groups for aquaculturists, each with distinct sets of preferences for the delivery of key ecosystem services. Thirdly the MCDA identified Conservation as the most desirable scenario overall based on ordinal ranking in the eyes of most of the stakeholder sub-groups. Ecotourism and Status Quo scenarios were the next most preferred and Intensive Aquaculture was the least desirable scenario. The methodologies developed through this research provide an opportunity for improving planning and decision making processes that aim to deliver sustainable management of wetland ecosystems in Malaysia.
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Dissertations / Theses on the topic "BBN modelling"

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Anderson, Jerone S. "A Study of Nutrient Dynamics in Old Woman Creek Using Artificial Neural Networks and Bayesian Belief Networks." Ohio University / OhioLINK, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1242921000.

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Parkes, David [Verfasser], Ben [Akademischer Betreuer] Marzeion, Ben [Gutachter] Marzeion, and Olaf [Gutachter] Eisen. "Statistical glacier distribution in global- and regional-scale glacier modelling / David Parkes ; Gutachter: Ben Marzeion, Olaf Eisen ; Betreuer: Ben Marzeion." Bremen : Staats- und Universitätsbibliothek Bremen, 2018. http://d-nb.info/1189808145/34.

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Hebeler, Felix. "Modelling topographic uncertainty : impacts on large scale : environmental modelling /." Zürich, 2008. http://opac.nebis.ch/cgi-bin/showAbstract.pl?sys=000253809.

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Ball, Kathryn. "Physiologically based pharmacokinetic modelling of the central nervous system : strategies for drug development." Thesis, Paris 5, 2014. http://www.theses.fr/2014PA05P630.

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Une étape critique au cours du développement de médicaments est la mesure ou la prédiction des concentrations du médicament dans un tissu cible, qui peuvent ensuite être liées à des mesures de leur efficacité ou leur toxicité. Les concentrations de médicaments ne pouvant être mesurées dans le cerveau humain, ils doivent être simulés ou prédits en utilisant des approches alternatives de modélisation. L'objectif de cette thèse est de développer in silico des approches de prédiction combinant à la fois des données précliniques in vitro et in vivo dans un modèle physiologique structuré, avec une stratégie translationnelle afin de permettre la simulation de concentrations totales et libres des médicaments dans le cerveau humain. Des modèles pharmacocinétiques physiologiques (PBPK) ont été développés dans cette thèse et évalués pour des médicaments de référence déjà sur le marché, et pour un médicament en cours de développement clinique dans l'industrie pharmaceutique. Ces modèles ont été développés à partir de stratégies de type « Bottom-up » sur la base de données in vitro pour la prédiction de la distribution des médicaments dans le cerveau et comparées à des méthodes de type «top-down » en utilisant des données in vivo. Cette thèse est une thèse sur article construite à partir de 5 articles scientifiques qui sont soit publiés soit en cours de soumission. Le premier article est une revue de la littérature publiée dans le Journal de l'AAPS. Cette revue discute les modèles PBPK disponibles actuellement et a permis d’élaborer des hypothèses de travail dans cette thèse afin de proposer des améliorations de ces modèles. Le deuxième article un article de recherche original publié dans Molecular Pharmaceutics. Cet article vise à démontrer l'élaboration d'une approche cohérente de modélisation pharmacocinétique chez le rat qui peut s’adapter en fonction de la quantité et de la qualité des données obtenues in vivo au cours du développement des médicaments. Un arbre de décision a été construit pour faciliter le paramétrage et la structure appropriée du modèle en fonction des données disponibles. Le troisième article est un article de recherche original publié dans Journal of Pharmaceutical Sciences. Cette étude porte sur le développement d'un modèle PBPK pour la prédiction de la pénétration cérébrale des médicaments, dans lequel son transfert à travers la BHE a été traité de façon mécanistique en séparant les paramètres régissant la quantité (perméabilité) à travers la BHE de sa liaison dans le tissu cérébral. Une stratégie de type vitro - vivo en fonction de la perméabilité des médicaments à travers les monocouches cellulaires in vitro a été proposé afin d'extrapoler la composante de transport actif du composé à l’aide de facteurs d’extrapolation (RAF). Deux autres articles sont en cours d’écriture ou soumis. Ces articles viennent compléter les approches de PBPK pour les médicaments du SNC décrites dans les deux autres articles originaux. Une dernière partie de la thèse constitue la discussion qui met très clairement en évidence l'importance du choix d’une approche de modélisation appropriée ou mieux encore la combinaison des approches fondées sur les connaissances physiologiques, les données expérimentales et les applications prévues dans le développement du médicament. L'avantage du paramétrage mécanistique dans ces modèles PBPK est qu’il améliore leur prédictivité et la simulation de différences inter-espèces. Cette thèse a considérablement contribué à démontrer la nécessité d’associer des données in vitro à des données in vivo dans la structuration des modèles PBPK qui se révèlent alors comme des outils précieux pour la prédiction de la pharmacocinétique cérébrale chez l'homme
A critical step during drug development is the measurement or the prediction of drug concentrations in the target tissue, which can then be linked to measures of drug efficacy or toxicity. Drug concentrations cannot be directly measured in the human brain, and must be simulated or predicted using alternative modeling approaches. The objective of this thesis is to develop in silico approaches to predict BBB penetration of drugs, combining in vitro and in vivo preclinical data in a physiologically structured model, with a translational strategy to allow the simulation of total and free drug concentrations in the human brain. Physiologically based pharmacokinetic (PBPK) models were developed and evaluated for reference molecules already on the market, as well as for a drug currently under clinical development within the pharmaceutical industry. These models were developed based on both ‘bottom-up’ (model parameter values predicted from in vitro data) and ‘top-down’ (model parameters estimated from in vivo data) strategies. This thesis is comprised of 5 scientific papers which are either published or submitted to peer-reviewed journals. The first article is a review of the literature, published in the AAPS journal. This review discusses the currently published PBPK models available for the mechanistic prediction of BBB penetration of drugs, and proposes a strategy for in vitro-in vivo (IVIVE) extrapolation. The second article is an original research article published in Molecular Pharmaceutics. This article aims to show the development of a coherent pharmacokinetic modeling approach in the rat which can be adapted based on the quantity and quality of data obtained in vivo during the development of new drugs. A decision tree was constructed to enable the appropriate parameterization and model structure based on the available data. The third article is an original research article published in Journal of Pharmaceutical Sciences. This article was based on the development of a PBPK model for the mechanistic prediction of BBB penetration of drugs, in which the active and passive components of permeability were considered separately, as well as the intra-brain tissue binding parameters. An in vitro-in vivo strategy was proposed to extrapolate the active transport component using a relative activity factor (RAF) to account for in vitro-in vivo differences in transporter activity and/or abundance. Two additional articles are either submitted or under preparation. These articles extend the PBPK approaches described in the previous two published original research articles. The final part of this thesis consists of a discussion which emphasizes clearly the importance of the appropriate choice of modeling approach, or even better, a combination of approaches based on physiological knowledge, experimental data and knowledge gathered during the course of drug development. The advantage of mechanistic parameterization of PBPK models is the improved ability for inter-species extrapolation for the subsequent simulation of free or total drug concentrations within the human brain. This thesis has considerably contributed to this rapidly evolving field of CNS drug research and development, showing the importance of combining in vitro and in vivo data within a physiologically based model structure, thus providing a valuable tool for the quantitative prediction of the penetration of drugs in the human brain
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Visen, Neeraj Singh. "Numerical modelling of the effects of bin inserts on stress distribution in storage bins for cohesive powder material." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape17/PQDD_0028/MQ32972.pdf.

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Münch, Manfred. "Generic modelling with graph rewriting systems paramateric polymorphism and object-oriented modelling with Progress /." [S.l.] : [s.n.], 2002. http://deposit.ddb.de/cgi-bin/dokserv?idn=970711239.

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Abdi, Tadesse. "Towards material modelling within continuum-atomistics." [S.l.] : [s.n.], 2006. http://deposit.ddb.de/cgi-bin/dokserv?idn=979984173.

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Augustine, Robin. "Electromagnetic modelling of human tissues and its application on the interaction between antenna and human body in the BAN context." Phd thesis, Université Paris-Est, 2009. http://tel.archives-ouvertes.fr/tel-00499255.

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Les réseaux BAN (Body Area Network) révolutionnent le concept de la surveillance et de la prise en charge à distance de la santé du patient. Le BAN fournit des informations sur l'état de santé du patient en temps réel quelque soit l'endroit où il se trouve. Dans le « télé monitoring », des capteurs de mouvement, de respiration ou du rythme cardiaque placés à l'intérieur ou sur le corps humain transmettent des données via le réseau sans fil constituant le BAN, une antenne étant associée à chaque nœud du réseau. La communication peut être in/on, on/on ou on/off selon que les antennes sont placées à l'intérieur, sur ou à l'extérieur du corps. Le développement des BAN nécessite la réalisation de modèles (ou fantômes) simulant au mieux les propriétés électromagnétiques du corps humain. Des antennes portables, miniaturisées doivent être réalisées avec des contraintes d'intégration d'une part (aux vêtements, à des objets type montre ou badge), des contraintes de résistance ou de prise en compte de l'influence du corps d'autre part. La réduction de l'impact des antennes sur les tissus en terme de SAR (Specific Absorption Rate) doit également être considérée. Dans ce travail, l'objectif est de développer des fantômes valables pour les communications dans et sur le corps. Les matériaux de base sélectionnés sont d'origine biologique (biocéramiques et biopolymères) avec des propriétés proches de celles des tissus humains. Ces fantômes étant biocompatibles, ils sont essentiellement non toxiques alors que les fantômes usuels le sont en général. D'autre part, différents types d'antennes conformables, fonctionnant dans la bande ISM 2.4 GHz ont été développées et étudiées dans la perspective du BAN. Les antennes voient leur adaptation et leur efficacité chuter au contact ou à proximité du corps, ce qui constitue un écueil majeur pour établir une bonne communication. Différentes méthodes permettant de réduire l'influence du corps (plan de masse à l'arrière, surface haute impédance, feuille de ferrite polymère) sont testés et leurs avantages et inconvénients développés. Des mesures de SAR permettent aussi de démontrer l'efficacité de ces méthodes sur la réduction de la puissance absorbée par les tissus. Au final, ce travail apporte une contribution à l'étude théorique et expérimentale de l'interaction entre corps humain et antenne dans le cadre des réseaux BAN appliqués à la télésurveillance de la santé
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Aussavy, Delphine. "Processing characterization and modeling of thermomechanical properties of threee abradable coatings : NiCrAl-bentonite, CoNiCrAlY-BN-polyester, and YSZ-polyester." Thesis, Belfort-Montbéliard, 2016. http://www.theses.fr/2016BELF0311/document.

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L'objectif de ces travaux a été d'estimer les propriétés thermomécanique des revêtements abradables. Lesmatériaux abradables sont des structures fortement hétérogènes et le but a été de considérer leurs microstructuresdétaillées. L'intérêt de ces travaux a été de passer outre la difficulté de leur dimensionnement lors de l'élaborationdes couches. Trois revêtements abradables ayant différentes natures et différentes microstructures ont étéétudiées, la complexité de leur microstructure était différente les unes des autres. Leurs propriétés ont étédéterminées par une méthode de modélisation 2D appliquée directement pixel par pixel pour prendre enconsidération la microstructure détaillée. Afin de valider la méthode de modélisation, les résultats calculés ont étécouplés et comparés à des valeurs expérimentales. Deux méthodes de modélisations ont été appliquées : uneméthode conventionnelle; avec une image des revêtements représentant les détails de la microstructure aussi bienque la microstructure dans sa globalité ainsi qu'une méthode de modélisation 2-échelles, avec une première échellereprésentant les détails de la microstructure de la matrice et une seconde échelle représentant le revêtement globalet notamment la distribution des plus gros pores.Une des conclusions principales de ces travaux est la suivante : Si la complexité du matériau augmente, le nombred'échelle nécessaire pour décrire la microstructure réelle augmente. La méthode de modélisation 2 échelles a étévalidée à travers la comparaison entre les valeurs calculées et les résultats expérimentaux. Ces travaux ont aidé àobtenir un outil pour sélectionner digitalement les microstructures les plus prometteuses pour les applicationsd'abradabilité. Ceci permet de réduite le nombre de tests expérimentaux à effectuer. Ces tests expérimentaux sontplus longs à mettre en oeuvre et coutent plus cher. C'est un outil support quant au développement des structuresabradables
The objective of this work was to estimate apparent thermomechanical properties of abradable coating. Abradablematerials are strongly heterogeneous structures and the aim was to consider their detailed microstructure. Theinterest of this work is to overstep one difficulty when manufacturing abradable coating which is their dimensioning.Three abradable coatings having different nature and different microstructures have been studied. Theirmicrostructure complexity was different one from each other. Their properties were determined by a 2D modelingmethod which was applied directly pixel by pixel to take account of all the microstructural details. To validate themodeling method, the results calculated were coupled and compared to experimental ones. Two modeling methodhave been applied, a conventional one, with coating image representing coating microstructural details as well asthe global coating microstructural distribution and a 2-scale modeling method, with one scale representing themicrostructural details of the matrix and a second on representing the global coating coarse pores distribution. Onemain conclusion of this work is the following one: If the material complexity increases, the number of scalemandatory to describe the real microstructure increases. The 2-scales modeling method has been validated throughcomparison of the calculated values with those obtained experimentally. This work helps to provide a tool for digitallyselect the most promising abradable layers with the effect of reducing the number of experimental tests, which arelonger and more expensive to implement. It is a tool for decision support in the abradable coating development
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Bräuer, Lars. "Modelling- und Mutationsstudien an ausgewählten prenylierenden Enzymen." [S.l.] : [s.n.], 2006. http://deposit.ddb.de/cgi-bin/dokserv?idn=984732004.

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Books on the topic "BBN modelling"

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Torre, Valeria. La «privatizzazione» delle fonti di diritto penale. Bononia University Press, 2021. http://dx.doi.org/10.30682/sg266.

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Il declino della legislazione di fonte statuale e la progressiva espansione della tendenza alla cosiddetta autonormazione hanno determinato un fenomeno per effetto del quale la disciplina di ampi settori delle attività sociali non è più rimessa all’originaria competenza statale, ma è, invece, affidata a quelli che sono i suoi più diretti destinatari, sì da dar luogo ad una sostanziale autodisciplina dei loro rapporti. Tali procedure di autoregolamentazione urtano, sul terreno del diritto penale, con il principio-cardine di questo ramo dell’ordinamento giuridico, che è rappresentato dal principio di [ii]riserva di legge . L’Autrice ritiene che questo contrasto possa essere superato in forza delle garanzie di democraticità interna che quelle procedure di autonormazione e di co-legislazione assicurano; e che, d’altra parte, le statuizioni, che ne sono il prodotto, paiono garantire un grado di effettività ben maggiore di quello associabile a quelle promananti da una legislazione statuale (che si vuole) esposta ad un alto grado di ineffettività. La materia sulla quale viene vagliata la tenuta complessiva di questi assunti è la disciplina penale della sicurezza sul lavoro. Si intraprende, in tal senso, un’ampia e articolata indagine comparata, che ha ad oggetto i paesi di common law e in particolare i modelli offerti dall’esperienza inglese e statunitense. Questa documentata disamina vale a confortare l’assunto per cui il ricorso all’autodisciplina, in sede di normazione avente ad oggetto la sicurezza sul lavoro nelle imprese, lungi dal condurre a riedizioni occulte del liberismo, garantisce il rispetto di tutti gli interessi in gioco; ciò in specie se e nella misura in cui alla stessa autodisciplina si abbina un sistema di controlli pubblici efficienti.
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Book chapters on the topic "BBN modelling"

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Kavitha, K., and R. Neela. "BBO-Based TCSC Placement for Security Enhancement." In Recent Advancements in System Modelling Applications, 475–85. India: Springer India, 2013. http://dx.doi.org/10.1007/978-81-322-1035-1_42.

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Hao, Yang, Akram Alomainy, and Yan Zhao. "Antenna Design and Propagation Measurements and Modelling for UWB Wireless BAN." In Ultra-Wideband, 331–59. Chichester, UK: John Wiley & Sons, Ltd, 2006. http://dx.doi.org/10.1002/0470056843.ch16.

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Dajuma, Alima, Siélé Silué, Kehinde O. Ogunjobi, Heike Vogel, Evelyne Touré N’Datchoh, Véronique Yoboué, Arona Diedhiou, and Bernhard Vogel. "Biomass Burning Effects on the Climate over Southern West Africa During the Summer Monsoon." In African Handbook of Climate Change Adaptation, 1515–32. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-45106-6_86.

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AbstractBiomass Burning (BB) aerosol has attracted considerable attention due to its detrimental effects on climate through its radiative properties. In Africa, fire patterns are anticorrelated with the southward-northward movement of the intertropical convergence zone (ITCZ). Each year between June and September, BB occurs in the southern hemisphere of Africa, and aerosols are carried westward by the African Easterly Jet (AEJ) and advected at an altitude of between 2 and 4 km. Observations made during a field campaign of Dynamics-Aerosol-Chemistry-Cloud Interactions in West Africa (DACCIWA) (Knippertz et al., Bull Am Meteorol Soc 96:1451–1460, 2015) during the West African Monsoon (WAM) of June–July 2016 have revealed large quantities of BB aerosols in the Planetary Boundary Layer (PBL) over southern West Africa (SWA).This chapter examines the effects of the long-range transport of BB aerosols on the climate over SWA by means of a modeling study, and proposes several adaptation and mitigation strategies for policy makers regarding this phenomenon. A high-resolution regional climate model, known as the Consortium for Small-scale Modelling – Aerosols and Reactive Traces (COSMO-ART) gases, was used to conduct two set of experiments, with and without BB emissions, to quantify their impacts on the SWA atmosphere. Results revealed a reduction in surface shortwave (SW) radiation of up to about 6.5 W m−2 and an 11% increase of Cloud Droplets Number Concentration (CDNC) over the SWA domain. Also, an increase of 12.45% in Particulate Matter (PM25) surface concentration was observed in Abidjan (9.75 μg m−3), Accra (10.7 μg m−3), Cotonou (10.7 μg m−3), and Lagos (8 μg m−3), while the carbon monoxide (CO) mixing ratio increased by 90 ppb in Abidjan and Accra due to BB. Moreover, BB aerosols were found to contribute to a 70% increase of organic carbon (OC) below 1 km in the PBL, followed by black carbon (BC) with 24.5%. This work highlights the contribution of the long-range transport of BB pollutants to pollution levels in SWA and their effects on the climate. It focuses on a case study of 3 days (5–7 July 2016). However, more research on a longer time period is necessary to inform decision making properly.This study emphasizes the need to implement a long-term air quality monitoring system in SWA as a method of climate change mitigation and adaptation.
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Chen, S., Q. Sun, and F. Jin. "Force Evaluation for Bingham Fluids Using Multiple-relaxation-time Lattice Boltzmann Model." In Discrete Element Modelling of Particulate Media, 46–50. The Royal Society of Chemistry, 2012. http://dx.doi.org/10.1039/bk9781849733601-00046.

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Bingham fluids are widely encountered in engineering practices. In this paper, the Papanastasiou's model for Bingham fluids was solved using the multiple-relaxation-time lattice Boltzmann model (MRT-LB). We applied the MRT-LB model to simulate the flows around a spherical particle. Beside the rich flow structures obtained in this work, the dynamic fluid force on the spherical particle was calculated. It was found that both Reynolds number Re and Bingham number Bn affect drag coefficients CD. The relationship of Bn with the ratio of the un-yielded zone thickness to particle diameter was analyzed.
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Isafiade, O. E., A. B. Bagula, and S. Berman. "On the Use of Bayesian Network in Crime Suspect Modelling and Legal Decision Support." In Natural Language Processing, 372–93. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-0951-7.ch019.

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Predictive policing (Pp) relates to identifying potentially related offences, similar criminal attributes and potential criminal activity, in order to take actionable measures in deterring crime. Similarly, Legal Decision Making Process (LDMP) considers some level of probabilistic reasoning in deriving logical evidence from crime incidents. Bayesian Networks (BN) have great potential in contributing to the area of Pp and LDMP. Being based on probabilistic reasoning, they can assess uncertainty in crime related attributes and derive useful evidence based on crime incident observations or evidential data. For example, in a particular context of crime investigation, BN based inference could help collect useful evidence about a crime scenario or incident. Such evidence promotes effective legal decision making process and can assist public safety and security agencies in allocating resources in an optimal fashion. This chapter reports on various application areas of BN in the crime domain, highlights the potential of BN and presents “thought experiments” on how offender characteristics could be modelled for decision support in legal matters. The chapter further reports on the performance of empirical analysis in the legal decision support process, in order to elucidate the practical relevance and challenges of using BN in the crime domain.
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De Clercq, Karen. "French negation, the Superset Principle, and Feature Conservation." In Cycles in Language Change, 199–227. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198824961.003.0011.

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This chapter provides a nanosyntactic account of negation in French, modelling the change from le bon usage French (BUF) to colloquial French (CF). It is argued that language change is driven by Feature Conservation: the lexical items involved in the expression of sentential negation may change over time, but the features needed remain stable. Furthermore, it is argued that the change from BUF to CF is economy-driven, resulting in bigger lexically stored trees, less spell-out-driven movements and a maximal operationalization of the Superset Principle. In addition, the account shows how negative concord and double negation can be explained as a natural consequence of the interplay of the internal structure of lexical trees and the Superset Principle. Finally, the chapter adds to theoretical discussions within nanosyntax by presenting how the interaction between syntactic movement and spell-out-driven movement may be conceived of.
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Klepac, Goran, Leo Mrsic, and Robert Kopal. "Efficient Risk Profiling Using Bayesian Networks and Particle Swarm Optimization Algorithm." In Analyzing Risk through Probabilistic Modeling in Operations Research, 91–124. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-9458-3.ch004.

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Chapter introduce usage of particle swarm optimization algorithm and explained methodology, as a tool for discovering customer profiles based on previously developed Bayesian network (BN). Bayesian network usage is common known method for risk modelling although BN's are not pure statistical predictive models (like neural networks or logistic regression, for example) because their structure could also depend on expert knowledge. Bayesian network structure could be trained using algorithm but, from perspective of businesses requirements model efficiency and overall performance, it is recommended that domain expert modify Bayesian network structure using expert knowledge and experience. Chapter will also explain methodology of using particle swarm optimization algorithm as a tool for finding most riskiness profiles based on previously developed Bayesian network. Presented methodology has significant practical value in all phases of decision support in business environment (especially for complex environments).
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Conference papers on the topic "BBN modelling"

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Fam, Mei Ling, Dimitrios Konovessis, Xuhong He, Lin Seng Ong, and Hoon Kiang Tan. "Analysing Dependent Failures in a Bayesian Belief Network." In ASME 2019 38th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/omae2019-95853.

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Abstract Fault trees (FT) and event trees (ET) have been used thoroughly in risk analysis and there have been a few published articles outlining how to map FTs and ETs to Bayesian Belief Networks (BBN). There have been documented benefits of a BBN being able to consider Common Cause Failures (CCF) and conditional dependencies. With modelling CCFs in a BBN, there is a possibility to increase the level of analysis of a CCF by breaking down the analysis to the respective CCF Categories, such as Environment, Maintenance or Design. This allows a better understanding of the contributing events given a defined accident scenario. Also, in the decommissioning industry, there is no established database yet for CCF of components, as decommissioning projects are sparse and spread out across different operating conditions. Hence it may be practical to adjust generic CCFs to obtain facility-specific parameters for common cause failures. The paper thus highlights how to express CCFs with a Beta-Factor Model in a BBN and by extension, undertake an extended level of analysis according to CCF categories and adjust generic database common cause factors to a facility-specific factor based on a checklist. The technique is applied to a risk analysis of a well plugging and abandonment event.
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Maddaloni, Alessandro, Valentina Colla, Gianluca Nastasi, Marco Del Seppia, and Vincenzo Iannino. "A Bin Packing Algorithm for Steel Production." In 2016 European Modelling Symposium (EMS). IEEE, 2016. http://dx.doi.org/10.1109/ems.2016.014.

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Tholen, Christoph, Lars Nolle, Tarek A. El-Mihoub, and Oliver Zielinksi. "Optimised bumblebee paths as search strategy for autonomous underwater vehicles." In 36th ECMS International Conference on Modelling and Simulation. ECMS, 2022. http://dx.doi.org/10.7148/2022-0107.

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In this paper, the concept of optimized bumblebee (BB) patterns as a search strategy for autonomous underwater vehicles (AUV) is presented. Here, an AUV is used to detect submarine groundwater discharge (SGD) in coastal areas. The optimization of the BB paths is achieved utilizing k-opt optimization. In this research, 2-opt, 3-opt and 4-opt is used for the optimization of the BB paths. It is shown using computer simulations that all three optimization strategies are able to improve the search capabilities of the BB search strategy. The optimization of the BB path shortens the length of the path to visit the waypoints generated. The saved energy can be used for exploring. The median saved path length is 33.8 m, 43.5 m and 52.6 m for the 2-opt, 3-opt and 4-opt, respectively. The median error over 1,000 experiments of the not-optimized BB is 76.26, while the median error of the optimized BB are 71.63, 72.02 and 72.23 for the 2-opt, 3-opt and 4-opt, respectively.
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Halim, Nurfadhlina Abd, Abd Aziz Arrashid Abd Rajak, and Saiful Hafizah Jaaman @ Sharman. "Bai Bithaman Ajil (BBA) modelling by Qardhul Hasan." In ADVANCES IN INDUSTRIAL AND APPLIED MATHEMATICS: Proceedings of 23rd Malaysian National Symposium of Mathematical Sciences (SKSM23). Author(s), 2016. http://dx.doi.org/10.1063/1.4954537.

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Tamas, Kornel, Zsofia Olah, Lilla Racz-Szabo, and Zoltan Hudoba. "Investigation Of Soil-Sweep Interaction In Laboratory Soil Bin And Modelling With Discrete Element Method." In 32nd Conference on Modelling and Simulation. ECMS, 2018. http://dx.doi.org/10.7148/2018-0421.

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Royle, Andrew J., John D. Logel, and Laurence R. Lines. "Hebron / Ben Nevis oil density sensitivity AVO modelling study." In SEG Technical Program Expanded Abstracts 2003. Society of Exploration Geophysicists, 2003. http://dx.doi.org/10.1190/1.1817897.

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Dumitru, Paul. "APPROACHES ON GEOID MODELLING." In 13th SGEM GeoConference on INFORMATICS, GEOINFORMATICS AND REMOTE SENSING. Stef92 Technology, 2013. http://dx.doi.org/10.5593/sgem2013/bb2.v2/s09.008.

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Saraiva, Miguel, Guilherme Gomes, and Daniel Moutinho. "Processos BIM de Coordenação 3D e Revisão do Cliente. O Exemplo do Edifício Residencial de Ben Aknoun." In 3º Congresso Português de 'Building Information Modelling'. Porto: FEUP, 2020. http://dx.doi.org/10.24840/978-972-752-272-9_0961-0970.

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Dumitru, Paul. "GEOID MODELLING FOR GIS APPLICATIONS." In 13th SGEM GeoConference on INFORMATICS, GEOINFORMATICS AND REMOTE SENSING. Stef92 Technology, 2013. http://dx.doi.org/10.5593/sgem2013/bb2.v1/s08.015.

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Mugruza-Vassallo, Carlos. "Different regressors for linear modelling of ElectroEncephaloGraphic recordings in visual and auditory tasks." In 2016 IEEE 13th International Conference on Wearable and Implantable Body Sensor Networks (BSN). IEEE, 2016. http://dx.doi.org/10.1109/bsn.2016.7516270.

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