Results 111 to 120 of about 2,598,020 (297)

Transactions Costs and Point-Nonpoint Source Water Pollution Trading [PDF]

The implications of transactions costs for the performance of water pollution trading involving point and nonpoint sources are examined. The analysis focuses on the impacts of transaction costs on different classes of trading partners and its consequence
Nguyen, Nga, Shortle, James S.
core  

Current Status and Challenges in Data Collection for Aerospace Coatings Deposited by Plasma Spraying

Advanced Engineering Materials, EarlyView.
An innovative approach has been integrated into the GRENAT project to optimize plasma spraying and coating performance. Raw materials are accelerated and melted in the plasma generated by torches, creating coatings. Monitoring sensors collect process data which are combined with ex situ characterization data.
Lila Randriamananjara, Vincent Rat, Quentin Dubreuil, Patrice Valorge, Simon Goutier, Alain Denoirjean, Olivier Messe, Céline Ruelle, Jean‐Philippe Poli   +8 more
wiley   +1 more source

Competitive theories for economies with general transactions technology [PDF]

In this paper, the authors describe and compare two approaches to analyzing transactions costs in a general equilibrium setting. In the first approach, which the authors label the transactions costs approach, the commodity space is the same as that used ...
Satyajit Chatterjee, Dean Corbae
core  

A multi-layered cryptographic trust reinforcement model against AI-driven threat propagation and zero-day cloud vulnerabilities in healthcare data ecosystems

Scientific Reports
The healthcare cloud ecosystem is getting vulnerable to cyberattacks, zero-day attacks and being plagued by AI-driven attacks, hence the need to use operationally feasible, solid, scientific in background security architectures. The authors of this paper
Meena Rani, R. Lavanya, K. V. Shahnaz, K. Ramu, Rohit Pachlor, Shitanshu Jain   +5 more
doaj   +1 more source

Optimization of the Production of Rubber Compounds Using Mathematical Models

Advanced Engineering Materials, EarlyView.
Rubber compounds were mixed in a batch internal mixer, and symbolic regression was used to derive mathematical models linking recipe and process parameters to ram path, torque, and mixing quality (incorporation, dispersion, distribution). Subsequent optimization with evolutionary algorithms identified operating conditions that reduce specific energy ...
Anke Bardehle, Andreas Limper, Ulrich Giese, Carlos Lucke, Mario Beiner, Christoph Gögelein, Lisa Leuchtenberger‐Engel, Christian Hopmann   +7 more
wiley   +1 more source

A Hybrid Blockchain Approach to Secure and Transparent Casino Betting and Payouts

IEEE Access
This paper proposes a blockchain-based decentralized casino system that ensures fairness and transparency through smart contract automation. The system is implemented using Solidity and features core functionalities including secure bet submission, on ...
Jaehyun Kim, Murat Kantarcioglu
doaj   +1 more source

Ontology‐Aligned Structuring and Reuse of Multimodal Materials Data and Workflows Toward Automatic Reproduction

Advanced Engineering Materials, EarlyView.
Reproduction of stacking fault energy calculations from literature with a semi‐automated large language model‐assisted extraction procedure: extraction of simulation protocol, atomistic structures, computational parameters, and reported results, ontology alignment, knowledge graph construction and, finally, recomputation forvalidation.
Sepideh Baghaee Ravari, Abril Azocar Guzman, Sarath Menon, Stefan Sandfeld, Tilmann Hickel, Markus Stricker   +5 more
wiley   +1 more source

Microstructure Reconstruction in Battery Electrodes Using Machine Learning Based on Low‐Voltage Focused Ion Beam–Scanning Electron Microscopy Tomography Images

Advanced Engineering Materials, EarlyView.
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran, Vincent Nebel, Dominik Perius, Kshitij Kumar, Yannis Heim, Laura Bies, Tobias Kraus   +6 more
wiley   +1 more source

Machine Learning‐Supported Analysis for Predicting and Visualizing Nonlinear Relationships Between Material Properties in Electroplated Chromium Layers

Advanced Engineering Materials, EarlyView.
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer, Christopher Mai, Luca Eisentraut, Andreas Bund, Ricardo Buettner   +4 more
wiley   +1 more source

Photocrosslinked microgels for oral delivery of macromolecular based-therapeutics

, 2015
In this work we present the fabrication of planar micro-hydrogels serving as vehicle for oral delivery of poorly bioavailable drugs. Microfabricated gels were prepared by means of selective exposure of aqueous solutions of poly(vinylpyrrolidone) (PVP) to
Faralli, A., Larsen, N. B., GRASSI, Mario, Mateiu, R. V., Müllertz, A., Marizza, P., Boisen, A., Keller, S. S.   +7 more
core