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Electromagnetic pollution protection and military stealth technologies underscore the urgent need to develop efficient electromagnetic wave-absorbing materials (EWAMs). Traditional EWAMs suffer from single absorption loss mechanisms, poor impedance matching, and weak reflection loss. To date, combining dielectric loss with magnetic loss in EWAMs have proven to be an effective approach to enhancing electromagnetic absorption performance.

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Metacognitive confidence and affect - two sides of the same coin?

Cogn Emot

January 2025

Brain and Cognition, KU Leuven, Leuven, Belgium.

Decision confidence is a prototypical metacognitive representation that is thought to approximate the probability that a decision is correct. The perception of being correct has also been associated with affective valence such that being correct feels more positive and being mistaken more negative. This suggests that, similarly to confidence, affective valence reflects the probability that a decision is correct.

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Energy Transition in Northern Netherlands: seeking a balance between top-down and bottom-up initiatives.

Open Res Eur

October 2024

Faculty of Humanities, Art and Culture, History, Antiquity, Vrije Universiteit Amsterdam, Amsterdam, North Holland, The Netherlands.

This brief report focuses on top-down and bottom-up processes within the field of energy transition. It aims at gaining a better understanding of the needs of the local energy initiatives. On this basis, policy recommendations are formulated to help the municipality of Groningen to facilitate local energy initiatives, ultimately leading to a more balanced approach of the local energy transition.

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Future Directions for Quantitative Systems Pharmacology.

Handb Exp Pharmacol

January 2025

Genentech Inc, South San Francisco, CA, USA.

In this chapter, we envision the future of Quantitative Systems Pharmacology (QSP) which integrates closely with emerging data and technologies including advanced analytics, novel experimental technologies, and diverse and larger datasets. Machine learning (ML) and Artificial Intelligence (AI) will increasingly help QSP modelers to find, prepare, integrate, and exploit larger and diverse datasets, as well as build, parameterize, and simulate models. We picture QSP models being applied during all stages of drug discovery and development: During the discovery stages, QSP models predict the early human experience of in silico compounds created by generative AI.

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Modifiable risk factors and symptom progression in dementia over up to 8 years-Results of the DelpHi-MV trial.

Alzheimers Dement (Amst)

January 2025

Health Care Research Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE) Greifswald Mecklenburg-Vorpommern Germany.

Introduction: This study investigated the association between modifiable factors and symptom progression in dementia over up to 8 years.

Methods: Multilevel growth curve models assessed the role of modifiable risk factors (low education, hearing impairment and its treatment, depression, physical inactivity, diabetes and its treatment, smoking, hypertension and its treatment, obesity, alcohol consumption, social isolation, and visual impairment) on cognitive and functional trajectories in 353 people with dementia.

Results: Higher education was associated with higher initial cognitive status but faster decline.

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