Results 161 to 170 of about 3,361,542 (356)

The multifactorial aquaculture‐related COVID‐19 shock in Benin, West Africa: A socio‐economic perspective of mitigating the disruptive impacts on the small‐scale and subsistence producers

Aquaculture, Fish and Fisheries, Volume 2, Issue 6, Page 507-521, December 2022., 2022
Graphical Abstract This study deals with a timely topic, COVID‐19, whose impacts on aquaculture have never been quantified in Benin. Direct discussions were held with aquaculture producers to understand how they are feeling the impact of the pandemic on their business.
Toundji Olivier Amoussou, Comlan Eugène Dessouassi, Dorothé Ngondjeb Yong, Siméon Mahougnon Fagnon, Luc Houngbe, Vinsoun Millogo, Ibrahim Imorou Toko, Emmanuel A. Frimpong   +7 more
wiley   +1 more source

The Frequency‐Domain Lattice Boltzmann Method (FreqD‐LBM): A Versatile Tool to Predict the QCM Response Induced by Structured Samples

Advanced Theory and Simulations, EarlyView.
FreqD‐LBM simulates the oscillatory flow at the surface of a QCM‐D resonator in the presence of structured adsorbates. It derives shifts of frequency and bandwidth (equivalent to dissipation) on different overtones. Applications include rough surfaces, adsorbed rigid particles, adsorbed viscoelastic particles, spheres floating freely above the surface,
Diethelm Johannsmann, Paul Häusner, Arne Langhoff, Christian Leppin, Ilya Reviakine, Viktor Vanoppen   +5 more
wiley   +1 more source

Heriot-Watt University, Edinburgh, School of Mathematical and Computer Sciences, Department of Actuarial Mathematics and Statistics [PDF]

, 2004

openalex   +2 more sources

Mathematical Statistics and Data Analysis. [PDF]

, 1989
Tom Leonard, John A. Rice
openalex   +1 more source

Probability and Mathematical Statistics

, 2017
J. Chen, Handout
semanticscholar   +1 more source

Exploration of Half‐Cycle Length of Converging Circular Wavy Duct with Diverging‐Outlet: Turbulent Water Dynamics

Advanced Theory and Simulations, EarlyView.
Increasing half‐cycles intensifies turbulence due to enhanced vortex interactions and flow separation at the diverged‐outlets. Longer wavy ducts are shown to increase flow acceleration, resulting in greater output velocities and more turbulent‐kinetic‐energy production. Wave‐period plays a crucial role in determining turbulent intensity, with amplitude
I. L. Animasaun, Taseer Muhammad, Se‐Jin Yook   +2 more
wiley   +1 more source

Chromatin Organization Governs Transcriptional Response and Plasticity of Cancer Stem Cells

Advanced Science, EarlyView.
Through a combination of transcriptomic and histone mapping studies integrated with chromatin imaging, we define how chromatin organization in nanoscale packing domains fine tunes the plasticity of cancer stem cells (CSCs) driving evasion from and survival after chemotherapy.
Yinu Wang, Jane Frederick, Karla Isabel Medina, Elizabeth Thomas Bartom, Luay Matthew Almassalha, Yaqi Zhang, Greta Wodarcyk, Hao Huang, I Chae Ye, Ruyi Gong, Cody Levi Dunton, Alex Duval, Paola Carrillo Gonzalez, Joshua Pritchard, John Carinato, Iuliia Topchu, Junzui Li, Zhe Ji, Mazhar Adli, Vadim Backman, Daniela Matei   +20 more
wiley   +1 more source

On basic concepts of mathematical statistics [PDF]

, 1980
N.N. Čencov
openalex   +1 more source

The Awakening Brain is Characterized by a Widespread and Spatiotemporally Heterogeneous Increase in High Frequencies

Advanced Science, EarlyView.
This work explores the process of morning awakening of the human brain using polysomnography paired with simultaneous stereo‐electroencephalography, a method that provides high spatial and temporal resolution for examining brain activity. Awakening is characterized by an increase in high‐frequency spectral power and connectivity.
Tamir Avigdor, Guoping Ren, Chifaou Abdallah, François Dubeau, Christophe Grova, Birgit Frauscher   +5 more
wiley   +1 more source

Online machine learning modeling and predictive control of nonlinear systems with scheduled mode transitions

AIChE Journal, Volume 69, Issue 2, February 2023., 2023
Abstract This work develops a model predictive control (MPC) scheme using online learning of recurrent neural network (RNN) models for nonlinear systems switched between multiple operating regions following a prescribed switching schedule. Specifically, an RNN model is initially developed offline to model process dynamics using the historical ...
Cheng Hu, Yuan Cao, Zhe Wu
wiley   +1 more source