Real-Time Machine Learning Strategies for a New Kind of Neuroscience Experiments.

Function and dysfunctions of neural systems are tied to the temporal evolution of neural states. The current limitations in showing their causal role stem largely from the absence of tools capable of probing the brain's internal state in real-time. This gap restricts the scope of experiments vital for advancing both fundamental and clinical neuroscience.

Analysis of Teacher Self-Efficacy and Its Impact on Sustainable Well-Being at Work.

This study evaluates teacher self-efficacy perceptions among students in the Master's Degree in Secondary Education and Baccalaureate, Vocational Training, and Language Teaching (MDSE), as well as the variables influencing these perceptions and their connection to the program's training. The research sheds light on how self-efficacy affects views on concerns, feelings, and attitudes towards diversity and inclusive education in the current educational landscape. Out of 205 female and 100 male MDSE students surveyed, who are either graduates or nearing completion, data were gathered using the "Teacher Education in Secondary Education: Key Elements for Teaching in an Inclusive School for All" (FORPES-IN) questionnaire distributed across Spanish universities.

Results of the DCMIX1 experiment on measurement of Soret coefficients in ternary mixtures of hydrocarbons under microgravity conditions on the ISS.

The Soret coefficients of a set of ternary systems of 1,2,3,4-tetrahydronaphthalene (THN), isobutylbenzene (IBB), and n-dodecane (nC) at 298.15 K were measured under microgravity condition aboard the International Space Station in the frame of the DCMIX1 experiment. The present work includes a comprehensive study of possible data processing sequences for the interpretation of interferometric Soret experiments in ternary systems.

European Space Agency experiments on thermodiffusion of fluid mixtures in space.

This paper describes the European Space Agency (ESA) experiments devoted to study thermodiffusion of fluid mixtures in microgravity environment, where sedimentation and convection do not affect the mass flow induced by the Soret effect. First, the experiments performed on binary mixtures in the IVIDIL and GRADFLEX experiments are described. Then, further experiments on ternary mixtures and complex fluids performed in DCMIX and planned to be performed in the context of the NEUF-DIX project are presented.

Kafnets: Kernel-based non-parametric activation functions for neural networks.

Neural networks are generally built by interleaving (adaptable) linear layers with (fixed) nonlinear activation functions. To increase their flexibility, several authors have proposed methods for adapting the activation functions themselves, endowing them with varying degrees of flexibility. None of these approaches, however, have gained wide acceptance in practice, and research in this topic remains open.