Results 11 to 20 of about 179,228 (201)
Mode Coupling in Electromechanical Systems: Recent Advances and Applications
Coupled mechanical resonator systems have recently become the focus of intense research in the field of micro/nanoelectromechanical systems. Focusing especially on experimental developments and practical applications, the coupled mechanism is divided in three types: intermode, near‐neighbor, and long‐range coupling.
Meng‐Lin Guo +11 more
wiley +1 more source
This paper introduces several novel strategies for multi‐step‐ahead prediction of chaotic time series. Introducing a concept of “generalized z‐vectors” (vectors of nonsuccessive time series observations) makes it possible to generate sets of possible prediction values for each point we are trying to predict.
Vasilii A. Gromov +2 more
wiley +1 more source
Abstract Civil society organizations (CSOs) aim to influence public policy. One way of influencing policy is through communication. In authoritarian contexts, CSOs face restrictions that make criticism of governmental actors less likely. However, to achieve change, CSOs need to highlight public problems that are often created by the inaction of ...
Caroline Schlaufer +5 more
wiley +1 more source
Learning under social versus nonsocial uncertainty: A meta‐analytic approach
Much of the uncertainty that clouds our understanding of the world is caused by other people's actions and values. So there could be specialized mechanisms that compute learning signals under uncertainty of exclusively social origin operate in the brain.
Mario Martinez‐Saito, Elena Gorina
wiley +1 more source
Abstract Language experience, particularly from our native language (L1), shapes our perception of other languages around us. The present study examined how L1 experience moulds the initial processing of foreign (L2) tone during acquisition. In particular, we investigated whether learners were able to rapidly forge new neural memory traces for novel ...
Sabine Gosselke Berthelsen +3 more
wiley +1 more source
Differential Human Learning Optimization Algorithm
Human Learning Optimization (HLO) is an efficient metaheuristic algorithm in which three learning operators, i.e., the random learning operator, the individual learning operator, and the social learning operator, are developed to search for optima by mimicking the learning behaviors of humans. In fact, people not only learn from global optimization but
Pinggai Zhang +7 more
wiley +1 more source
Multifractal Early Warning Signals about Sudden Changes in the Stock Exchange States
Critical phenomena in stock exchange are regularly occurring and difficult to predict events, often leading to disastrous consequences. The presented paper is devoted to the search and research of early warning signals of critical transitions in stock exchange based on the results of a multifractal analysis of a series of transactions in shares of ...
Andrey Dmitriev +4 more
wiley +1 more source
Local‐global equivalence in voting models: A characterization and applications
The paper considers a voting model where each voter's type is her preference. The type graph for a voter is a graph whose vertices are the possible types of the voter. Two vertices are connected by an edge in the graph if the associated types are “neighbors.” A social choice function is locally strategy‐proof if no type of a voter can gain by ...
Ujjwal Kumar +4 more
wiley +1 more source
Robust group strategy‐proofness
Strategy‐proofness (SP) is a sought‐after property in social choice functions because it ensures that agents have no incentive to misrepresent their private information at both the interim and ex post stages. Group strategy‐proofness (GSP), however, is a notion that is applied to the ex post stage but not to the interim stage.
Steven Kivinen, Norovsambuu Tumennasan
wiley +1 more source
Evolution of MEG: A first MEG‐feasible fluxgate magnetometer
In the current article, we present the first solid‐state sensor feasible for magnetoencephalography (MEG) that works at room temperature. The sensor is a fluxgate magnetometer based on yttrium‐iron garnet films (YIGM). In this feasibility study, we prove the concept of using the YIGM in terms of MEG by registering a simple brain‐induced field—the human
Nikolay Koshev +7 more
wiley +1 more source

