Results 191 to 200 of about 101,961 (306)

Advances in causal discovery methods for ecological time series

Biological Reviews, EarlyView.
ABSTRACT Recent advances in data collection technologies (e.g. automated sensor networks, satellite remote sensing, and high‐throughput sequencing) have greatly expanded the availability of ecological time series, enabling new opportunities for causal analyses in dynamic ecosystems.
Kenta Suzuki, Masato Yamamichi, Yutaka Osada, Masayuki Ushio, Kohei Nakajima, Hiroshi Masuya, Shohei Shimizu   +6 more
wiley   +1 more source

Differential geometry-based harmonic analysis of three-phase systems. [PDF]

Sci Rep
Sundriyal N, Thakur P, Dixit A, Gupta S, Kumar M.   +4 more
europepmc   +1 more source

Machine Learning Paradigm for Advanced Battery Electrolyte Development

Carbon Energy, EarlyView.
Electrolyte materials determine ion transport kinetics within the bulk and interphases, ultimately influencing the performance of battery systems. As data‐driven paradigms increasingly reshape materials discovery, this review provides an application‐oriented exploration of the intersection between machine learning and electrolyte science. By evaluating
Chang Su, Mengfan Pei, Keyu Chen, Xigao Jian, Fangyuan Hu   +4 more
wiley   +1 more source

The visual perception of outdoor angular spatial relationships. [PDF]

J Vis
Norman JF, Marcum WB, Carmichael M.
europepmc   +1 more source

Artificial intelligence in enzyme catalysis: Emerging trends and applications in biocatalyst engineering

The Canadian Journal of Chemical Engineering, EarlyView.
Schematic representation of artificial intelligence approaches in enzyme catalysis, integrating bibliometric analysis, emerging research trends, and machine learning tools for enzyme design, prediction, and industrial biocatalytic applications. Abstract This study systematically explores the applications of artificial intelligence (AI) in enzyme ...
Misael Bessa Sales, Francisco Izaias da Silva Aires, Paulo Gonçalves de Sousa Junior, Calebe Da Rocha Silva, Emanuel Lino Rodrigues, Maria Cristiane Martins de Souza, José C. S. dos Santos   +6 more
wiley   +1 more source

A Band-Aware Riemannian Network with Domain Adaptation for Motor Imagery EEG Signal Decoding. [PDF]

Brain Sci
Wang Z, Ma Y, Du Y, She Q.
europepmc   +1 more source

Chop-sat in NON-Euclidean Geometry

honors thesisCollege of EngineeringKahlert School of ComputingThomas C. HendersonThis study explores methods of applying Non-Euclidean Geometry to the Boolean Satisfiability Problem (SAT).
Geary, Thatcher
core  

The Benjamin–Ono Equation in the Zero‐Dispersion Limit for Rational Initial Data: Generation of Dispersive Shock Waves

Communications on Pure and Applied Mathematics, EarlyView.
ABSTRACT The leading‐order asymptotic behavior of the solution of the Cauchy initial‐value problem for the Benjamin–Ono equation in L2(R)$L^2(\mathbb {R})$ is obtained explicitly for generic rational initial data u0$u_0$. An explicit asymptotic wave profile uZD(t,x;ε)$u^\mathrm{ZD}(t,x;\epsilon)$ is given, in terms of the branches of the multivalued ...
Elliot Blackstone, Louise Gassot, Patrick Gérard, Peter D. Miller   +3 more
wiley   +1 more source

Gauge-covariant stochastic neural fields: stability and finite-width effects. [PDF]

Sci Rep
Terin RC.
europepmc   +1 more source

Species traits mediate the abundant‐center patterns in ground‐dwelling mammal and bird species in China

Ecography, EarlyView.
The abundance center hypothesis (ACH) posits that species abundance peaks at distribution centers; however, empirical support remains inconsistent. This study tested the generality of the ACH and investigated species traits as mediators of abundance–distance relationships.
Ludan Zhang, Baoming Zhang, Minghui Zhou, Haoting Duan, Zhipeng Xie, Xinglin Huo, Jiehua Yu, Jiekun He   +7 more
wiley   +1 more source