Toward Design Principles for Biomolecular Condensates for Metabolic Pathways
Advanced Biology, EarlyView.Biomolecular condensates are membrane‐less compartments found through‐out nature which can serve as reaction crucibles for biochemical processes. This review explores the design strategies underlying how condensates can be used in biotechnology to enhance multistep enzyme cascades including enhancement by mass action and substrate channeling, and ...
Alain A.M. André +3 more
wiley +1 more source
Pareto Optimized Adaptive Learning with Transposed Convolution for Image Fusion Alzheimer's Disease Classification. [PDF]
Brain Sci, 2023 Odusami M +2 more
europepmc +1 more source
A Novel Digitalization Approach for Smart Materials – Ontology‐Based Access to Data and Models
Advanced Engineering Materials, EarlyView.In order to access heterogeneous material data and model‐based knowledge, the established ontology‐based data access (OBDA) is extended to include material models. This novel ontology‐based data and model access (OBDMA) enables the computation of new responses beyond stored data.
Jürgen Maas +15 more
wiley +1 more source
Nature CommunicationsThe role of developmental cell death in the formation of brain circuits is not well understood. Cajal-Retzius cells constitute a major transient neuronal population in the mammalian neocortex, which largely disappears at the time of postnatal ...
Angeliki Damilou +10 more
doaj +1 more source
Self-Supervised Meta-Learning for All-Layer DNN-Based Adaptive Control with Stability Guarantees [PDF]
arXivA critical goal of adaptive control is enabling robots to rapidly adapt in dynamic environments. Recent studies have developed a meta-learning-based adaptive control scheme, which uses meta-learning to extract nonlinear features (represented by Deep Neural Networks (DNNs)) from offline data, and uses adaptive control to update linear coefficients ...
arxiv
Smartphone Usage Patterns Among Postgraduate Medical Students: A Central India Perspective on Adaptive Learning in Medicine. [PDF]
Cureus, 2023 Rathod PG +5 more
europepmc +1 more source
FAIR and Structured Data: A Domain Ontology Aligned with Standard‐Compliant Tensile Testing
Advanced Engineering Materials, EarlyView.The digitalization in materials science and engineering is discussed, emphasizing the importance of digital workflows and ontologies in managing diverse experimental data. Challenges such as quality assurance and data interoperability are tackled with semantic web technologies, focusing and introducing the tensile test ontology (TTO).
Markus Schilling +6 more
wiley +1 more source
Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics
Advanced Engineering Materials, EarlyView.Machine learning (ML) is revolutionizing the development of bioinspired ceramics. This article investigates how ML can be used to design new ceramic materials with exceptional performance, inspired by the structures found in nature. The research highlights how ML can predict material properties, optimize designs, and create advanced models to unlock a ...
Hamidreza Yazdani Sarvestani +2 more
wiley +1 more source
Hierarchical Recurrent Adapters for Efficient Multi-Task Adaptation of Large Speech Models [PDF]
arXivParameter efficient adaptation methods have become a key mechanism to train large pre-trained models for downstream tasks. However, their per-task parameter overhead is considered still high when the number of downstream tasks to adapt for is large.
arxiv
Measuring Learner Satisfaction of an Adaptive Learning System. [PDF]
Behav Sci (Basel), 2022 Lim L, Lim SH, Lim RWY.
europepmc +1 more source