Results 71 to 80 of about 3,086 (259)

Enhancing Enzyme Activity With Mutation Combinations Guided by Few‐Shot Learning and Causal Inference

Angewandte Chemie, EarlyView.
We present an integrated workflow that predicts activity‐enhancing mutation combinations from minimal experimental data. By proposing in vivo unit yield (yield/expression) as a surrogate for kcat/Km through causal inference, and visualizing local activity landscape, it effectively guides product yield improvement. ABSTRACT Designing enzyme sequences to
Lin Guo, Xiaoguang Yan, Yali Lu, Shengxin Nie, Mingyue Ge, Yukun Li, Weiguo Li, Xiaochun Zhang, Dongmei Liang, Yihan Zhao, Hongxiao Tan, Xiling Chen, Shilong Fan, Yefeng Tang, Jianjun Qiao, Boxue Tian   +15 more
wiley   +2 more sources

Background Independence and Quantum Causal Structure

Quantum, 2022
One of the key ways in which quantum mechanics differs from relativity is that it requires a fixed background reference frame for spacetime. In fact, this appears to be one of the main conceptual obstacles to uniting the two theories. Additionally, a combination of the two theories is expected to yield non-classical, or "indefinite", causal structures.
Parker, Lachlan, Costa, Fabio
openaire   +5 more sources

Quantum‐Like Dynamics in Whole‐Brain Models of the Human Connectome

Advanced Science, EarlyView.
Quantum‐like dynamics in the human brain. The level of quantum‐like behavior in a non‐quantum system of coupled oscillators is regulated by the spectral gap of the coupling graph. Whole‐brain modelling using QL fits the empirical data significantly better and has a lower model‐derived energy cost than the non‐QL model.
Gustavo Deco, Yonatan Sanz Perl, Natasha Greenstein, Shamil Chandaria, Gregory Scholes, Morten L. Kringelbach   +5 more
wiley   +1 more source

Neuromorphic Devices and Computing for Sensing, Memory, and Control

Advanced Science, EarlyView.
This review introduces neuromorphic devices made from diverse materials. These devices mimic neuronal functions and architectures and, when integrated with artificial or biological computing, can form closed loops with neurons for pressure, optical, acoustic, and biochemical sensing and modulation.
Zhengguang Zhu, Nicholas Schaffer, Xiao Yang   +2 more
wiley   +1 more source

A Quantum Probability Model of Causal Reasoning [PDF]

Frontiers in Psychology, 2012
People can often outperform statistical methods and machine learning algorithms in situations that involve making inferences about the relationship between causes and effects. While people are remarkably good at causal reasoning in many situations, there are several instances where they deviate from expected responses.
Trueblood, Jennifer S, Busemeyer, Jerome R   +1 more
openaire   +5 more sources

Comparative Insights and Overlooked Factors of Interphase Chemistry in Alkali Metal‐Ion Batteries

Advanced Energy Materials, EarlyView.
This review presents a comparative analysis of Li‐, Na‐, and K‐ion batteries, focusing on the critical role of electrode–electrolyte interphases. It especially highlights overlooked aspects such as SEI/CEI misconceptions, binder effects, and self‐discharge relevance, emphasizing the limitations of current understanding and offering strategies for ...
Changhee Lee, Zachary T. Gossage, Shinichi Kumakura, Shinichi Komaba   +3 more
wiley   +1 more source

Indefinite Causal Order in a Quantum Switch [PDF]

Physical Review Letters, 2018
In quantum mechanics events can happen in no definite causal order: in practice this can be verified by measuring a causal witness, in the same way that an entanglement witness verifies entanglement. Indefinite causal order can be observed in a quantum switch, where two operations act in a quantum superposition of the two possible orders.
Goswami, K., Giarmatzi, C., Kewming, M., Costa, F., Branciard, C., Romero, J., White, A. G.   +6 more
openaire   +6 more sources

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

Advanced Energy Materials, EarlyView.
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen, Zheyu Zhang, Kelvian T. Mularso, Bonghyun Jo, Hyun Suk Jung   +4 more
wiley   +1 more source

Sometimes Hot, Sometimes Not: The Relations Between Selected Situational Vocational Interests and Situation Perception

European Journal of Personality, EarlyView., 2020
Abstract Vocational interests are traditionally conceived as stable preferences for different activities. However, recent theorizing suggests their intraindividual variability. This preregistered experience sampling study examined intraindividual variation in selected vocational interests states and related situation and person factors (N = 237 ...
Lena Roemer, Kai T. Horstmann, Matthias Ziegler, Jan‐Erik Lönnqvist   +3 more
wiley   +1 more source

Discovering Quantum Causal Models [PDF]

The British Journal for the Philosophy of Science, 2019
Costa and Shrapnel ([2016]) have recently proposed an interventionist theory of quantum causation. The formalism generalizes the classical methods of Pearl ([2000]) and allows for the discovery of quantum causal structure via localized interventions. Classical causal structure is presented as a special case of this more general framework.
openaire   +3 more sources