Results 121 to 130 of about 19,760 (270)
AI Guided Protein Design for Next‐Generation Autogenic Engineered Living Materials
Autogenic engineered living materials (ELMs) integrate biology and materials science to create self‐regenerating and self‐healing materials. This perspective highlights emerging strategies in protein engineering and AI‐guided de novo design to expand the capabilities of autogenic ELMs.
Hoda M. Hammad, Anna M. Duraj‐Thatte
wiley +1 more source
Data‐Driven Review and Machine Learning Prediction of Diamond Vacancy Center Synthesis
A machine learning framework is applied to photoluminescence spectra to extract linewidths and uncover how NV, SiV, GeV, and SnV centers evolve with growth and processing conditions. Unified normalization and k‐fold validation reveal cross‐method trends and enable rapid prediction of defect size and fabrication parameters, offering a data‐driven route ...
Zhi Jiang +3 more
wiley +1 more source
This study provides an introduction to Bayesian optimisation targeted for experimentalists. It explains core concepts, surrogate modelling, and acquisition strategies, and addresses common real‐world challenges such as noise, constraints, mixed variables, scalability, and automation.
Chuan He +2 more
wiley +1 more source
ResearchConnect is an AI‐powered platform that automates researcher profiling, interdisciplinary team formation, and early‐stage research ideation. By extracting keywords from papers and web sources, it quickly clusters researchers into coherent teams and generates collaborative ideas using large language models. Validation on NSF‐funded projects shows
Akshay Vilas Jadhav +2 more
wiley +1 more source
ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury +2 more
wiley +1 more source
ABSTRACT Background Olfactory dysfunction is common in aging and an early symptom of neurodegenerative diseases, but how structural (olfactory bulb [OB] volume) and functional (olfactory network [OFN] functional connectivity [FC]) brain features interact to shape odor identification ability remains unclear.
Weiyi Zeng +4 more
wiley +1 more source
Objective Whether cognitive decline in patients with Parkinson's disease (PD) carrying GBA1 variants is accelerated after subthalamic deep brain stimulation (STN‐DBS) remains controversial. Clarifying long‐term cognitive outcomes is essential for informed decision making.
Moritz A. Loeffler +8 more
wiley +1 more source
Fairly verifiable multi-user homomorphic proxy re-encryption scheme
To address the challenges of multi-user ciphertext sharing and secure fair computation in untrusted cloud environments where traditional fully homomorphic encryption algorithms prove inadequate, a verifiable identity-based multi-user homomorphic proxy re-
HOU Jinqiu +3 more
doaj
Abstract The vertebrate skull is composed of bones derived from neural crest cells and mesoderm. The evolutionary capacity of the skull has been linked, in part, to the emergence of neural crest cells; however, this increased capacity for evolutionary change requires that variation within neural crest‐ and mesoderm‐derived bones remains partly ...
Alyssa C. Moore +5 more
wiley +1 more source
Abstract The human mandibular symphysis concentrates multiaxial loads during function and remodels throughout growth, but the precise mechanisms underlying cortical bone shape during growth remain relatively unexplored. Approaches based solely on thickness or external cortical contours provide only partial insights and do not capture the functional ...
Ana Ribeiro +3 more
wiley +1 more source

