Revisiting Research on Positive Psychology in Second and Foreign Language Education: Trends and Directions

Language Related Research, Год журнала: 2022, Номер 13(5), С. 1 - 43

Опубликована: Дек. 1, 2022

Revisiting Research on Positive Psychology in Second and Foreign Language Education: Trends Directions

Язык: Английский

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Multifractal analysis of temporal and spatial characteristics of earthquakes in Eurasian seismic belt

Open Geosciences, Год журнала: 2023, Номер 15(1)

Опубликована: Янв. 1, 2023

Abstract Seismic activity has complexity and randomness, its temporal spatial distribution complexity, stage, level, inheritance. The study of the characteristics seismic is great significance to understanding law activity, such as that time series seismicity in belt consistent with geographical structure, prediction risk, other research related earthquake. This article selects data catalog whole Eurasian object. Based on geological environment tectonic characteristics, multifractal analysis method used for directory. results show zones obvious structure complex scales, which can well reveal space. In terms series, area D ∞ {D}_{{\rm{\infty }}} decreases significantly energy before occurrence a large earthquake, highly correlated structure. Spatially, intensity infinite sparse, showing clustering. Therefore, it basic rule effectively lay certain theoretical foundation earthquake prevention control this zone.

Язык: Английский

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Towards an ecological dynamics theory of flow in sport

Acta Psychologica, Год журнала: 2025, Номер 253, С. 104765 - 104765

Опубликована: Янв. 30, 2025

Язык: Английский

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Multifractal descriptors ergodically characterize non-ergodic multiplicative cascade processes

Physica A Statistical Mechanics and its Applications, Год журнала: 2023, Номер 617, С. 128651 - 128651

Опубликована: Март 6, 2023

Язык: Английский

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Multifractal spectral features enhance classification of anomalous diffusion

Physical review. E, Год журнала: 2024, Номер 109(4)

Опубликована: Апрель 15, 2024

Anomalous diffusion processes, characterized by their nonstandard scaling of the mean-squared displacement, pose a unique challenge in classification and characterization. In previous study [Mangalam et al., Phys. Rev. Res. 5, 023144 (2023)], we established comprehensive framework for understanding anomalous using multifractal formalism. The present delves into potential spectral features effectively distinguishing trajectories from five widely used models: fractional Brownian motion, scaled continuous-time random walk, annealed transient time L\'evy walk. We generate extensive datasets comprising ${10}^{6}$ these models extract multiple spectra each trajectory to accomplish this. Our investigation entails thorough analysis neural network performance, encompassing derived varying numbers spectra. also explore integration traditional feature datasets, enabling us assess impact comprehensively. To ensure statistically meaningful comparison, categorize concept groups train networks designated group. Notably, several demonstrate similar levels accuracy, with highest performance observed utilizing moving-window characteristics $p$ varation features. Multifractal features, particularly those three involving different timescales cutoffs, closely follow, highlighting robust discriminatory potential. Remarkably, exclusively trained on single spectrum exhibits commendable surpassing other groups. summary, our findings underscore diverse potent efficacy enhancing predictive capacity machine learning classify processes.

Язык: Английский

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Novel multifractal-based classification model for the quality grades of surrounding rock within tunnels

Underground Space, Год журнала: 2024, Номер 20, С. 140 - 156

Опубликована: Авг. 29, 2024

Язык: Английский

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Turing’s cascade instability supports the coordination of the mind, brain, and behavior

Neuroscience & Biobehavioral Reviews, Год журнала: 2022, Номер 141, С. 104810 - 104810

Опубликована: Авг. 4, 2022

Язык: Английский

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Multifractal Nonlinearity Moderates Feedforward and Feedback Responses to Suprapostural Perturbations

Perceptual and Motor Skills, Год журнала: 2023, Номер 130(2), С. 622 - 657

Опубликована: Янв. 4, 2023

An adaptive response to unexpected perturbations requires near-term and long-term adjustments over time. We used multifractal analysis test how nonlinear interactions across timescales might support an following unpredictable perturbation. reanalyzed torque data from 44 young 24 older adults who performed a single-leg squat task challenged by mechanical perturbation secondary visual-cognitive task. report three findings: (a) nonlinearity interacted with pre-perturbation production error presage greater pre-voluntary feedforward increases voluntary reductions, respectively, in post-perturbation error; (b) presaged relatively smaller than standard deviations of both torques (c) increased demand (e.g., age-related changes dexterity dual-task settings) led presaging reduced error. All these results were consistent our expectations, except that knee torque-dependent increase appeared later for younger participants. This correlational modeling offered theoretical clarity on the possible roles timescales, moderating feedback processes, stability when deviation is large demands are strong. Thus, usefully describes movement variability even paired classical descriptors like deviation. discuss potential insights findings understanding suprapostural developing rehabilitative interventions.

Язык: Английский

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Multifractal Detrended Cross‐Correlation Patterns in the Dynamics of the Global Energy and Green Investment Markets: Insights From Pre‐COVID‐19 and Pandemic Experiences

International Journal of Finance & Economics, Год журнала: 2025, Номер unknown

Опубликована: Март 6, 2025

ABSTRACT Despite the increasing concentration on budding, but yet immature, green investment markets, less empirical information is known their multifractal and efficiency behaviour, with no study particularly linking these to crude oil market. In addition, how recent COVID‐19 affects multifractality cross‐correlation between price assets remains unexamined in literature. Filling gaps, this employs novel techniques that cut across univariate, multiscale, analyses. We find all are strongly behaviour before during pandemic, although pandemic intensifies persistence market inefficiency. Moreover, established vary scales, thereby making it be complex heterogeneous. On a final note, has strong assets, more pronounced pandemic. Thus, markets closely knitted. These findings followed suitable policy implications for investors who desire effectively assess manage financial risks policymakers optimal performance of achieve goal carbon‐friendly economy.

Язык: Английский

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Membership-dependent and line integral Lyapunov functionals for event-triggered T–S fuzzy observer design

The European Physical Journal Plus, Год журнала: 2025, Номер 140(4)

Опубликована: Апрель 12, 2025

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