Results 131 to 140 of about 574,424 (277)

The Minimum Universal Cost Flow in an Infeasible Flow Network [PDF]

Journal of Sciences, Islamic Republic of Iran, 2006
In this paper the concept of the Minimum Universal Cost Flow (MUCF) for an infeasible flow network is introduced. A new mathematical model in which the objective function includes the total costs of changing arc capacities and sending flow is built and ...
doaj  

A Mathematical Model of The Effects of Strike On Nigerian Universities

This paper carries out a scientific study of the effects of strike on Nigerian Universities. A mathematical model is formulated to examine the behavior of Nigerian University System when Public Universities are on strike. The results show that if all State and Federal Universities are on strike with the exception of the Private Universities, the ...
openaire   +2 more sources

Self‐Heating and Thermal Gradient in Solid‐State Batteries: Friend or Foe?

Advanced Energy Materials, EarlyView.
This work investigates the role of self‐heating and thermal gradients derived from the kinetics/transport interactions within the cathode microstructure, electrode architecture, and operating regimes, thus encouraging a mechanism‐centric design of anode‐free solid‐state batteries for next‐generation high‐power applications.
Abhinand Ayyaswamy, Bairav S. Vishnugopi, Partha P. Mukherjee   +2 more
wiley   +1 more source

Prediction of effectiveness of universal rotavirus vaccination in Southwestern Vietnam based on a dynamic mathematical model

Scientific Reports
Vaccinating young children against rotavirus (RV) is a promising preventive strategy against rotavirus gastroenteritis (RVGE). We evaluated the relative risk reduction of RVGE induced by universal vaccination in Vietnam through dynamic model analysis. We
Taeyong Lee, Ji-Man Kang, Jong Gyun Ahn, Dung Thi Thuy Truong, Thuong Vu Nguyen, Thang Vinh Ho, Ha Thi Thanh Ton, Phuc Le Hoang, Min Young Kim, Joon-Sup Yeom, Jeehyun Lee   +10 more
doaj   +1 more source

Markets Mitigate Land‐Use Competition From Energy Crops and Increase Farm Revenues

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT Meeting the US Sustainable Aviation Fuel Grand Challenge target of 35 billion gal annually by 2050 will require an estimated 380 million–700 million dry tons of agricultural biomass feedstock. This study evaluates the implications of large‐scale biomass production for land use, crop production, and market outcomes under mature market ...
Daniel G. De La Torre Ugarte, Matthew H. Langholtz, Chad M. Hellwinckel   +2 more
wiley   +1 more source

Model of Bilingual Mathematics Teaching at a Technical University

Problems of Education
The article highlights issues related to the implementation of bilingual education in Ukrainian technical universities. The study of this problem contributes to the training of engineering specialists who are able to carry out professional activities in the conditions of a foreign-language multicultural environment.
openaire   +1 more source

AI in chemical engineering: From promise to practice

AIChE Journal, EarlyView.
Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew, Ronnie Andersson, Thomas Bierweiler, Patrik Ryttestal, Torsten Wik   +4 more
wiley   +1 more source

Resolving passive heat transfer and phase‐change heat in cryogenic CO2 deposition (Desublimation) from CO2/N2 mixtures

AIChE Journal, EarlyView.
Abstract In cryogenic CO2 desublimation systems where phase change dominates both heat transfer and separation, conventional lumped thermal‐resistance treatments embed interfacial latent heat into an overall heat‐transfer coefficient, obscuring how phase‐change heat is partitioned between the gas phase and the coolant and limiting diagnostic insight ...
Shengwen Xiao, Hiroshi Machida, Koyo Norinaga   +2 more
wiley   +1 more source

Application of Neural Networks for Advanced Ir Spectroscopy Characterization of Ceria Catalysts Surfaces

Advanced Intelligent Discovery, EarlyView.
A novel convolutional neural network architecture enables rapid, unsupervised analysis of IR spectroscopic data from DRIFTS and IRRAS. By combining synthetic data generation with parallel convolutional layers and advanced regularization, the model accurately resolves spectral features of adsorbed CO, offering real‐time insights into ceria surface ...
Mehrdad Jalali, Lachlan Caulfield, Eric Sauter, Alexei Nefedov, Chengwu Yang, Christof Wöll   +5 more
wiley   +1 more source

Deep Learning‐Assisted Coherent Raman Scattering Microscopy

Advanced Intelligent Discovery, EarlyView.
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu, Rujia Liu, Xinyan Zhang, Xun Chen, Shuhua Yue   +4 more
wiley   +1 more source