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1. www.tandfonline.com › doi › fullThe Fear of COVID-19 Scale: Psychometric properties and...

   www.tandfonline.com › doi › full

   Vor einem Tag · Exploratory and confirmatory factor analyses were conducted along with measurement invariance testing. The results showed that the bifactor model fitted well, and significantly predicted stress and anxiety, but not depression. The FCV-19S demonstrated partial measurement invariance (i.e. configural and metric invariances) across time. These ...

2. arxiv.org › html › 2406Position: An Inner Interpretability Framework for AI - arXiv.org

   arxiv.org › html › 2406

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   Vor 2 Tagen · 1 Introduction. Inner Interpretability is an emerging subfield of Artificial Intelligence (AI) that is drawing increasing attention as models get larger and better. Interpreting the internal mechanisms of these models in human-understandable terms is of great interest for scientific, engineering, and safety reasons (Räuker et al., 2023 ...

3. prateekjoshi.substack.com › p › integrating-physicsIntegrating Physics Constraints into AI Models

   prateekjoshi.substack.com › p › integrating-physics

   Vor einem Tag · We need to design the model to respect inherent symmetries and invariances in the physical system. For example in molecular modeling, ensure that the model accounts for rotational and translational invariances. Use data augmentation techniques to train the model on symmetrically transformed data. Post-process the model’s predictions

4. elifesciences.org › articles › 90972Glutamatergic supramammillary nucleus neurons respond to ... -...

   elifesciences.org › articles › 90972

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   Vor 2 Tagen · Activation of a population of glutamatergic neurons in supramammillary nucleus enhances active coping behaviors in response to threats, offering new insights for therapeutic strategies against anxiety and mood disorders.

5. dlang.org › spec › classClasses - D Programming Language

   dlang.org › spec › class

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   Vor 5 Tagen · Object defines a minimum level of functionality that each derived class has, and a default implementation for that functionality. Classes are programmer defined types. Support for classes are what make D an object oriented language, giving it encapsulation, inheritance, and polymorphism. D classes support the single inheritance paradigm ...

6. www.semanticscholar.org › paper › IENE:-Identifying-andIENE: Identifying and Extrapolating the Node Environment for...

   www.semanticscholar.org › paper › IENE:-Identifying-and

   Vor 3 Tagen · IENE, an OOD generalization method on graphs based on node-level environmental identification and extrapolation techniques, is proposed, which outperforms existing techniques and provides a flexible framework for enhancing the generalization of GNNs. Due to the performance degradation of graph neural networks (GNNs) under distribution shifts, the work on out-of-distribution (OOD ...

7. www.mdpi.com › 2674/0494/3-2 › 12Meteorology | Free Full-Text | Molecular Origins of Turbulence -...

   www.mdpi.com › 2674/0494/3-2 › 12

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   Vor 5 Tagen · The format of this article will be a text with embedded references, but introducing a small number of key equations, equivalences and figures located in the Discussion section below. This perspective can be short because few authors have considered a bottom-up approach to turbulence, particularly in the atmosphere. 2.