Results 91 to 100 of about 607,930 (304)

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

Optimization Dispatch of a Biomass Integrated Energy System Considering Reward-Penalty Continuous Carbon Trading and Diversified Hydrogen Energy Applications [PDF]

Dianli jianshe
[Objective] To enhance the energy utilization efficiency and flexibility of biomass integrated energy systems（IES）， promote the accommodation of high-penetration renewable energy， achieve efficient hydrogen utilization， and reduce system operating costs ...
XIONG Chaoyu, XU Dan, ZHONG Zhengxing, YANG Dechang, ZHANG Lijun
doaj   +1 more source

Implicit transaction costs and the fundamental theorems of asset pricing

, 2017
This paper studies arbitrage pricing theory in financial markets with implicit transaction costs. We extend the existing theory to include the more realistic possibility that the price at which the investors trade is dependent on the traded volume.
Allaj, Erindi
core   +1 more source

Complex Cryptographic and User‐Centric Physically Unclonable Functions Enabled by Strain‐Sensitive Nanocrystals via Selective Ligand Exchange

Advanced Functional Materials, EarlyView.
This study investigates electromechanical PUFs that improve on traditional electric PUFs. The electron transport materials are coated randomly through selective ligand exchange. It produces multiple keys and a key with motion dependent on percolation and strain, and approaches almost ideal inter‐ and intra‐hamming distances.
Seungshin Lim, Hanseok Seo, Taesung Park, Byung Ku Jung, Junhyeok Park, Young Kyun Choi, Dae Yang Oh, Soong Ju Oh   +7 more
wiley   +1 more source

Trading efficiency in water quality markets [PDF]

A crucial factor in the success of any water quality trading market is its ability to cost-effectively reallocate nutrient allowances from initial holders to those users who find them most valuable; the market's trading efficiency.
Kennedy, Marianna, Kerr, Suzi, McDonald, Hugh, Ngawhika, Simon   +3 more
core   +1 more source

Multi‐Ion Doping Controlled CEI Formation in Structurally‐Stable High‐Energy Monoclinic‐Phase NASICON Cathodes for Sodium‐Ion Batteries

Advanced Functional Materials, EarlyView.
The graphical abstract illustrates the synthesis pathway, morphological feature, and thermodynamic feasibility of entropy‐engineered NASICON cathodes for sodium‐ion batteries. Abstract Overcoming the energy density limitations of sodium‐ion batteries (NIBs) requires innovative strategies to optimize cathode materials.
Sharad Dnyanu Pinjari, Vignesh Mahalingam, Purandas Mudavath, Malavika Aarayil, Tasdique Arman, Ipsita Pal, Dipan Kundu, Raghavan Ranganathan, Ashok Kumar Nanjundan, Rohit Ranganathan Gaddam   +9 more
wiley   +1 more source

Internalization, Clearing and Settlement, and Liquidity [PDF]

: We study the relation between liquidity in financial markets and post-trading fees (i.e. clearing and settlement fees). The clearing and settlement agent (CSD) faces different marginal costs for different types of transactions.
Achter, M. van, Degryse, H.A., Wuyts, G.
core   +1 more source

Reducing Open‐Circuit Voltage Losses in Wide‐Bandgap FAPbBr3 Perovskite Solar Cells for Continuous Unassisted Light‐Driven Water Splitting

Advanced Functional Materials, EarlyView.
The combination of formamidinium thiocyanate and 1,3‐propane diammonium iodide for bulk and top‐surface passivation, and a ternary fullerene blend to improve energy band alignment, suppresses energy losses in wide‐bandgap FAPbBr3 perovskite solar cells.
Laura Bellini, Daniël Grosfeld, Bruno Branco, Guus J. W. Aalbers, Lana M. Kessels, Willemijn H. M. Remmerswaal, Nicolas Daub, Kunal Datta, Martijn M. Wienk, René A. J. Janssen   +9 more
wiley   +1 more source

Previsão Não-linear de Retornos na BOVESPA: Volume Negociado em um Modelo Auto-Regressivo de Transição Suave [PDF]

RAC: Revista de Administração Contemporânea, 2010
In this study, the predictive power of a logistic smooth transition auto regression model (LSTAR) in generating statistically significant returns is evaluated when the transition variable is trading volume and the lagged return itself, for the São Paulo ...
Robert Aldo Iquiapaza, Aureliano Angel Bressan, Hudson Fernandes Amaral   +2 more
doaj  

Financial risk monitoring and transaction costs in coffee & soybean trading companies and processors

Revista de Economia e Sociologia Rural, 2003
This study characterizes the use of risk monitoring mechanisms by coffee and soybean trading and processing companies. It also investigates the role these mechanisms play in the mitigation of certain transaction costs associated to bounded rationality ...
Edson Costa Bignotto, Adriano Azevedo Filho   +1 more
doaj   +1 more source