Results 81 to 90 of about 3,363 (257)

Optimizing neutron-gamma discrimination in scintillation detectors using Tucker decomposition

Kuwait Journal of Science
Neutron-gamma discrimination is essential for applications in radiation monitoring and nuclear safety. Conventional methods often face challenges related to complex signal processing and experimental constraints.
Imane Ahnouz, Hanan Arahmane, Rajaa Sebihi   +2 more
doaj   +1 more source

Deciphering Intricacies in Directional CO2 Conversion From Electrolysis to CO2 Batteries

Advanced Energy Materials, EarlyView.
This review will delve into the inherent connections and distinctions of CO2‐directed conversion in ECO2RR and CO2 batteries, in terms of product types, catalyst selection, catalytic mechanisms, and electrochemical performances, while proposing a benchmarking framework for the evaluation of CO2 batteries and innovative CO2 battery configurations for ...
Changfan Xu, Huaping Zhao, Lizhuang Chen, Weidong Shi, Guosheng Shao, Yong Lei   +5 more
wiley   +1 more source

A Quantitative Lithium Inventory Framework for Anode‐Free Lithium Metal Batteries

Advanced Energy Materials, EarlyView.
A component‐resolved lithium inventory framework quantitatively tracks Li redistribution across the cell in anode‐free NMC622||Cu pouch cells throughout cycling. Three sequential degradation stages are identified: formation‐driven cathode Li depletion, midlife inactive Li0 accumulation, and late‐stage runaway SEI thickening. The cathode, as the sole Li
Wurigumula Bao, Alex Liu, Thomas S. Marchese, Yuanlong Bill Zheng, Weikang Li, Dhevathi Rajan Rajagopalan Kannan, Vallabha Rao Rikka, Vinay Premnath, Judith Jeevarajan, Ying Shirley Meng   +9 more
wiley   +1 more source

Exploring Tensor-Based Optimization for Missing EEG Signal Recovery: A Comparative Study of Optimization Methods Across Different Tensor Decomposition Frameworks

IEEE Access
Electroencephalography (EEG) signals are frequently compromised by missing data due to electrode contact issues or subject movement. Tensor decomposition has emerged as a powerful technique for analyzing multidimensional EEG data.
Yue Zhang, Huanmin Ge, Chencheng Huang, Xinhua Su   +3 more
doaj   +1 more source

Foreign labor, peer‐networking and agricultural efficiency in the Italian dairy sector

Agribusiness, EarlyView.
Abstract While the presence of immigrants in the agricultural sector is widely acknowledged, the empirical evidence on its economic consequences is lacking, especially from a microeconomic perspective. Using the Farm Accountancy Data Network panel data for Italian dairy farms in the period 2008–2018, the present study investigates the relationship ...
Federico Antonioli, Simone Severini, Mauro Vigani   +2 more
wiley   +1 more source

The Bitter Taste of Brazil's Temporary Import Ban on Robusta Coffee

Agribusiness, EarlyView.
ABSTRACT Brazil, a leading Robusta coffee producer and exporter, faced a significant drought in 2016–2017, which drastically reduced production and depleted stocks. Consequently, Brazil temporarily permitted the import of one million 60‐kg bags of Robusta coffee in the spring 2017. An import ban was imposed shortly afterward due to lobbying by domestic
Hanifi Otgun, John Beghin, Fernando Maximiliano   +2 more
wiley   +1 more source

Synthesis of functionalized polyolefins in a new continuous bench‐scale reactor apparatus

AIChE Journal, EarlyView.
Abstract In‐reactor functionalized polyolefins (FPOs), produced by molecular catalysts, are a new class of polymer materials with applications ranging from high performance adhesives to bitumen compatibilization. In this work, we disclose a procedure for the synthesis of FPOs in a new Continuous Bench‐scale Reactor Apparatus (COBRA).
Miloud Bouyahyi, Job Guzman, Travis Conant, Reggie Tennyson, Christoph Brose, Riccardo Conti, Peter Kolb, Andreas Müller   +7 more
wiley   +1 more source

Accelerated Low-Rank Tensor Completion via Projected Tensor Block Coordinate Descent

IEEE Access
The low-rank tensor completion problem aims to find a low-rank approximation of a tensor by filling in missing entries from partially observed entries to enhance the accuracy of the tensor data analysis.
Geunseop Lee
doaj   +1 more source

System-Specific Separable Basis Based on Tucker Decomposition: Application to Density Functional Calculations. [PDF]

J Chem Theory Comput, 2022
Woo J, Kim WY, Choi S.
europepmc   +1 more source

Bayesian Adaptive Tucker Decompositions for Tensor Factorization

Journal of Computational and Graphical Statistics
Tucker tensor decomposition offers a more effective representation for multiway data compared to the widely used PARAFAC model. However, its flexibility brings the challenge of selecting the appropriate latent multi-rank. To overcome the issue of pre-selecting the latent multi-rank, we introduce a Bayesian adaptive Tucker decomposition model that ...
Stolf, Federica, Canale, Antonio
openaire   +3 more sources