An Airway Network Flow Assignment Approach Based on an Efficient Multiobjective Optimization Framework by Xiangmin Guan, Xuejun Zhang, Yanbo Zhu, Dengfeng Sun, Jiaxing Lei

“…Firstly, an effective multi-island parallel evolution algorithm with multiple evolution populations is employed to improve the optimization capability. …”
Get full text

Numerical Study on Plane and Radial Wall Jets to Validate the 2D Assumption for an Idealized Downburst Outflow by Yongli Zhong, Zhitao Yan, Yan Li, Jie Luo, Hua Zhang

“…For applications in civil engineering, it is valid to approximate the downburst outflow with a two-dimensional (2D) assumption from the perspective of longitudinal evolution of the flows.…”
Get full text

Emergence of a Second Law of Thermodynamics in Isolated Quantum Systems by Florian Meier, Tom Rivlin, Tiago Debarba, Jake Xuereb, Marcus Huber, Maximilian P.E. Lock

“…This appears to conflict with the reversible evolution of isolated quantum systems under the Schrödinger equation, which preserves the von Neumann entropy. …”
Get full text

eDNA offers opportunities for improved biodiversity monitoring within forest carbon markets by Michael C. Allen, Julie L. Lockwood, Rosa Ibanez, Josh D. Butler, Jordan C. Angle, Benjamin D. Jaffe

Get full text

Impacts of Climate Change on Mountaineering Routes in the Écrins Massif (Western Alps, France) by Mathis Arnaud, Jacques Mourey, Philippe Bourdeau, Richard Bonet, Ludovic Ravanel

“…The Mont-Blanc massif and the Valais Alps have been used as study areas to understand the evolution of mountaineering routes over recent decades. …”
Get full text

Development and Application of Fluid-Solid Coupling Similar Materials in Discharge Test of Old Goaf Water by Zhenhua Li, Mingxiao Ma, Yongsheng Bao

“…To study the evolution law of the discharge pathway for the old goaf water in the Datong mining area, a new fluid-solid coupling similar material was developed based on the fluid-solid coupling similarity theory. …”
Get full text

Patterns and implications of spatial covariation in herbivore functions on resilience of coral reefs by Dana T. Cook, Sally J. Holbrook, Russell J. Schmitt

Get full text

Impact of Heterogeneity on Opinion Dynamics: Heterogeneous Interaction Model by Xi Chen, Zhan Wu, Hongwei Wang, Wei Li

“…The conclusions show that interactive radius affects public opinion evolution. HI model can explain more conscious opinion evolution in real life and has significance that effectively guides public opinion.…”
Get full text

Receptivity of the Boundary Layer over a Blunt Wedge with Distributed Roughness at Mach 6 by Zhenqing Wang, Mingfang Shi, Xiaojun Tang, Lidan Xu, Xiaokun Sun

“…The vortices caused by roughness also impact the evolution of disturbance waves in the boundary layer. …”
Get full text

INVESTIGATING THE SCIENTIFIC FOCUS ON ARTIFICIAL INTELLIGENCE'S POTENTIAL IMPACT ON LABOR MARKET by Ludovic DIOSZEGI

“…Research on the present and future effects materializes in an increasing volume of publications, the technological evolution bringing to the fore significant aspects of change, with increasingly evident accents of convergence towards the importance of researching the impact of technological evolution, especially artificial intelligence, on the labor market. …”
Get full text

Relationship between Permeability Coefficient and Fractal Dimension of Pore in Ionic Rare Earth Magnesium Salt Leaching Ore by Dan Wang, Yunzhang Rao, Liang Shi, Wei Xu, Tao Huang

“…In this paper, the column leaching test of ionic rare earth was carried out to study the evolution of the relationship between pore structure and permeability coefficient. …”
Get full text

Gravitational echoes from braneworlds by Chun-Chun Zhu, Jing Chen, Wen-Di Guo, Yu-Xiao Liu

“…Using a Gaussian wave packet as initial data, we study the time evolution of the gravitational perturbation. By monitoring the evolution of the Gaussian wave packet, the gravitational echoes are observed whether the wave packet is generated from inside or outside the braneworld. …”
Get full text

Long-Term Predictions of COVID-19 in Some Countries by the SIRD Model by Lijun Pei, Mengyu Zhang

“…As COVID-19 in some countries has increasingly become more severe, there have been significant efforts to develop models that forecast its evolution there. These models can help to control and prevent the outbreak of these infections. …”
Get full text

Link prediction method for dynamic networks based on matching degree of nodes by Cong LI, Xinsheng JI, Ushuxin LI, Jinsong LI, Haitao LI

“…The research of dynamic evolutionary trends and temporal characteristics in real networks which are important part of the real world is a hot research issue nowadays.As a typical research tool in the field of network science, link prediction technique can be used to predict the network evolution by mining the historical edge information and then predict the future edge.The topological evolution of dynamic real networks was analyzed and it found that the interaction and matching between nodes in the network topology can capture the dynamic characteristics of the network more comprehensively.The proposed method analyzed the attribute characteristics of network nodes, and defined a node importance quantification method based on primary and secondary influences.Besides, a time decay factor was introduced to portray the influence of network topology on the formation of connected edges at different moments.Furthermore, the node importance and time decay factor were combined to define the Temporal Matching Degree of Nodes (TMDN), which was used to measure the possibility of future edge formation between node pairs.The experimental results in five real dynamic network datasets showed that the proposed method achieves better prediction performance under both AUC and Ranking Score, with a maximum improvement of 42%.It also proved the existence of interactive matching priority among nodes, and confirmed the effectiveness of both primary and secondary influence of nodes.As the future work, we will add diversified feature information to further deepen the analysis of dynamic real networks and then predict the evolution law more accurately.…”
Get full text

Asymptomatic infection and antibody prevalence to co-occurring avian influenza viruses vary substantially between sympatric seabird species following H5N1 outbreaks by Fiona Greco, Hannah M. Ravenswater, Francisco Ruiz-Raya, Chiara D’Avino, Mark A. Newell, Josie Hewitt, Erin Taylor, Ella Benninghaus, Francis Daunt, Gidona Goodman, David Steel, Jenny Park, Emma Philip, Saumya S. Thomas, Marek J. Slomka, Marco Falchieri, Scott M. Reid, Joe James, Ashley C. Banyard, Sarah J. Burthe, Emma J. A. Cunningham

Get full text

Lyapunov Exponent-Based Study of Chaotic Mechanical Behavior of Concrete under Compression by Yuhu Quan, Xu Yang

“…Besides, the mechanical behavior of concrete could be predicted by deducing its evolution equation. Furthermore, the evolution and trends of the Lyapunov exponent indicated that the series with human intervention showed a stronger chaotic property, which led to the result that this kind of series might be more difficult to predict.…”
Get full text

Almost Automorphic Solutions to Nonautonomous Stochastic Functional Integrodifferential Equations by Li Xi-liang, Han Yu-liang

“…This paper concerns the square-mean almost automorphic solutions to a class of abstract semilinear nonautonomous functional integrodifferential stochastic evolution equations in real separable Hilbert spaces. …”
Get full text

L’ergonomie au Québec : perspectives et prospectives by Monique Lortie

“…This history is situated in its socio-political context in the light of developments in occupational health and the evolution of institutions that occurred between 1970 and 2000. …”
Get full text

Influence of Dynamical Change of Edges on Clustering Coefficients by Yuhong Ruan, Anwei Li

“…Besides, in a complex networks, the dynamic change of edges can trigger directly the evolution of network and further affect the clustering coefficients. …”
Get full text

Application analysis of fgOTN in power communication network by LIU Jianming

“…For the application of fine grain optical transport network (fgOTN) technology in power communication network, the evolution of fgOTN technology and its characteristics were deeply analyzed, and compared with synchronous digital hierarchy (SDH) and optical transport network (OTN), it was found that fgOTN had powerful management and control capabilities, flexible networking and service bearing capabilities, reliable protection mechanisms, and good compatibility and evolution capabilities, which were suitable for communication network applications in industries such as electric power.…”
Get full text