Results 141 to 150 of about 6,927,638 (333)

Optimizing Structural Parameters of a Water Distribution Device in Cylindrical High‐Flowrate Mixed Bed Using Multiobjective Genetic Algorithm

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT High‐flowrate mixed bed is the foremost desalination equipment in the condensate polishing system. The water distribution device determining the water distribution uniformity directly affects its operation stability, output water quality, and service life of the resins.
Jing Zhu, Yuhan Liu, Kai Tuo, Xiaohong Zhang, Zhe Xia, Zhao Wang   +5 more
wiley   +1 more source

Efficient Allocations, Equilibria and Stability in Scarf's Economy [PDF]

Scarf's economy has been a vehicle in understanding stability properties in exchange economies. The full set of market equilibria and Pareto optimal allocations for this economy has not been analysed. This paper aims to do that.
E Randon, P Simmons
core  

Optimizing biomass use for carbon storage and land use with the OptiBiU model

Biofuels, Bioproducts and Biorefining, EarlyView.
Abstract Optimal biomass use in a circular bioeconomy requires a system perspective to guide decision‐making. The Optimizing Biomass Use (OptiBiU) model was developed for this purpose. The model distinguishes among primary biomass production, intermediate products, and biobased products, and incorporates recycling.
Pim M. Post, Heleen Ballemans, Argyris Kanellopoulos, Iris Vural Gürsel, Berien Elbersen, Steven Hoek, Remco Kranendonk, Wolter Elbersen, Sjaak Conijn   +8 more
wiley   +1 more source

Estimating the Parameters and Reliability Functions of a WeightedProbability Distribution

Academic Science Journal
This research is concerned with studying the estimation of the parameters and reliability function of a weighted probability distribution consisting of a combination of the Pareto distribution and the Poisson distribution.
Duha kaream, Inam Abdul Rahman Noaman, Fatima Mohammed Aboud   +2 more
doaj   +1 more source

Possibility and Optimality of Agreements in International Negotiations on Climate Change [PDF]

We build a three-stage model of international negotiations on regulation of the level of total emissions of greenhouse gases, and examine the possibility of a cooperative agreement and the Pareto optimality of the outcome.
Tadenuma, Koichi
core  

Simulating competition in the US bioeconomy to produce hard‐to‐electrify transportation fuels using limited biomass resources

Biofuels, Bioproducts and Biorefining, EarlyView.
Abstract This study presents a novel bioeconomy optimization framework, BiOpt, designed to address critical questions regarding the strategic use of limited US biomass resources for biofuel production. By integrating detailed techno‐economic analyses, life cycle assessments, and resource assessment data, BiOpt optimizes resource distributions across ...
Nicholas A. Carlson, Emily K. Newes, Kristen Lu, Eric C. D. Tan   +3 more
wiley   +1 more source

Adaptive Machine Learning Framework for Optimizing the Affinity Purification of Adeno‐Associated Viral Vectors

Biotechnology and Bioengineering, EarlyView.
ABSTRACT Adeno‐associated viral (AAV) vectors for gene therapy are becoming integral to modern medicine, providing therapeutic options for diseases once deemed incurable. Currently, viral vector purification is a critical bottleneck in the gene therapy industry, impacting product efficacy and safety as well as accessibility and cost to patients ...
Kelvin P. Idanwekhai, Shriarjun Shastry, Morgan R. Hurst, Arianna Minzoni, Eduardo Barbieri, Luke Remmler, Eugene N. Muratov, Michael A. Daniele, Stefano Menegatti, Alexander Tropsha   +9 more
wiley   +1 more source

Harnessing Generative AI for Sustainable Supply Chains: Lean, Circular and Green Perspectives

Business Strategy and the Environment, EarlyView.
ABSTRACT Generative artificial intelligence is playing a significant role in the transformation of digital ecosystems by reinventing the processes of content generation, process automation, product innovation and customer experience. At the same time that these technologies are becoming more integrated into routine operations, the focus has shifted to ...
Ashutosh Singh, Rsha Alghafes, Judit Petra Koltai, Sushant Kumar Vishnoi   +3 more
wiley   +1 more source

Considering spatiotemporal evolutionary information in dynamic multi‐objective optimisation

CAAI Transactions on Intelligence Technology, EarlyView., 2023
Abstract Preserving population diversity and providing knowledge, which are two core tasks in the dynamic multi‐objective optimisation (DMO), are challenging since the sampling space is time‐ and space‐varying. Therefore, the spatiotemporal property of evolutionary information needs to be considered in the DMO.
Qinqin Fan, Min Jiang, Wentao Huang, Qingchao Jiang   +3 more
wiley   +1 more source

Extending Approximate Bayesian Computation to Non-Linear Regression Models: The Case of Composite Distributions

Risks
Modeling loss data is a crucial aspect of actuarial science. In the insurance industry, small claims occur frequently, while large claims are rare. Traditional heavy-tail distributions, such as Weibull, Log-Normal, and Inverse Gaussian distributions, are
Mostafa S. Aminzadeh, Min Deng
doaj   +1 more source