Results 21 to 30 of about 91,586 (199)

Predictive Modelling of Protest Event Signatures: Analyzing Temporal Dynamics and Digital Activism Discourse Across Global Movements

Journal of Social Computing
This research introduced a predictive modeling framework to analyze the temporal dynamics of social media discourse during three global movements: the Mahsa Amini Protests (2022), South African Unrest (2021), and the Black Lives Matter Movement (2020 ...
Amila Chethana Nanayakkara, B. T. G. Samantha Kumara, R. M. Kapila Tharanga Rathnayaka   +2 more
doaj   +1 more source

Linear analysis of Atwood number effects on shear instability in the elastic–plastic solids

Scientific Reports, 2021
The evolution of shear instability between elastic–plastic solid and ideal fluid which is concerned in oblique impact is studied by developing an approximate linear theoretical model.
Xi Wang, Xiao-Mian Hu, Sheng-Tao Wang, Hao Pan, Jian-Wei Yin   +4 more
doaj   +1 more source

Hydrodynamic Kelvin–Helmholtz instability on metallic surface

Scientific Reports, 2023
Kelvin–Helmholtz instability on metallic surface is relevant to intense oblique impact in many physical processes such as explosive welding, Inertial Confinement Fusion and planetary impact events.
Xi Wang, Xiao-Mian Hu, Sheng-Tao Wang, Hao Pan, Jian-Wei Yin   +4 more
doaj   +1 more source

Computational Triangulation in Mathematics Teacher Education

Computation, 2023
The paper is written to demonstrate the applicability of the notion of triangulation typically used in social sciences research to computationally enhance the mathematics education of future K-12 teachers. The paper starts with the so-called Brain Teaser
Sergei Abramovich
doaj   +1 more source

Second law analysis for nonlinear convective flow of a reactive couple stress fluid through a vertical channel

Heliyon, 2018
The present article investigates the entropy generation rate in the nonlinear convective flow of a reactive couple stress liquid through a channel filled with saturated materials and subjected to convective cooling.
Samuel O. Adesanya, H.A. Ogunseye, R.S. Lebelo, K.C. Moloi, O.G. Adeyemi   +4 more
doaj   +1 more source

Study on MOOC scoring algorithm based on Chinese University MOOC learning behavior data

Heliyon, 2018
Existing online learning evaluation methods do not accurately reflect learning effects, which only considers test and assignment scores. A comprehensive evaluation algorithm is proposed in this paper based on the big data of learning behavior.
Yong Luo, Guochang Zhou, Jianping Li, Xiao Xiao   +3 more
doaj   +1 more source

Deep-learning potential method to simulate shear viscosity of liquid aluminum at high temperature and high pressure by molecular dynamics

AIP Advances, 2021
The shear viscosity of matter and efficient simulating methods in a wide range of temperatures and densities are desirable. In this study, we present the deep-learning many-body potential (the deep potential) method to reduce the computational cost of ...
Yuqing Cheng, Han Wang, Shuaichuang Wang, Xingyu Gao, Qiong Li, Jun Fang, Hongzhou Song, Weidong Chu, Gongmu Zhang, Haifeng Song, Haifeng Liu   +10 more
doaj   +1 more source

Network divergence analysis identifies adaptive gene modules and two orthogonal vulnerability axes in pancreatic cancer

Molecular Oncology, EarlyView.
Tumors contain diverse cellular states whose behavior is shaped by context‐dependent gene coordination. By comparing gene–gene relationships across biological contexts, we identify adaptive transcriptional modules that reorganize into distinct vulnerability axes.
Brian Nelson, Lyanne Delgado‐Coka, Natalia Marchenko, Luisa F. Escobar‐Hoyos, Kenneth R. Shroyer, Alisa Yurovsky, Trey Ideker, Gábor Balázsi, Thomas MacCarthy, Scott Powers   +9 more
wiley   +1 more source

From Physical to Virtual Sensors: VSG-SGL for Reliable and Cost-Efficient Environmental Monitoring

Automation
Reliable environmental monitoring in remote or sparsely instrumented regions is hindered by the cost, maintenance demands, and inaccessibility of dense physical sensor deployments.
Murad Ali Khan, Qazi Waqas Khan, Ji-Eun Kim, SeungMyeong Jeong, Il-yeop Ahn, Do-Hyeun Kim   +5 more
doaj   +1 more source

Heat transfer enhancement in the boundary layer flow of hybrid nanofluids due to variable viscosity and natural convection

Heliyon, 2019
The aim of the current work is to explore how heat transfer can be enhanced by variations in the basic properties of fluids in the presence of free convection with the aid of suspended hybrid nanofluids.
S. Manjunatha, B. Ammani Kuttan, S. Jayanthi, Ali Chamkha, B.J. Gireesha   +4 more
doaj   +1 more source