Results 61 to 70 of about 24,962,303 (280)
Body social models of disability: Examining enactive and ecological approaches
Autistic philosopher and neurodiversity proponent Robert Chapman (2021) argues that disability may be best understood by utilizing an ecological functional model where the focus is on the intersection and overlaps between relational contributions to ...
Alan Jurgens
doaj +1 more source
Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback
BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat +4 more
wiley +1 more source
Alternating High‐Fat and Polysaccharide Diets Modulates Gut Phage‐Bacterial Interplay
This study reveals how alternating high‐fat and polysaccharide diets reshape the human gut virome and enhance phage‐bacteria interactions. Using large‐scale metagenomic meta‐analysis and a time‐resolved mouse model, the authors show that diets strongly modulate phage abundance, lifestyle, and gene exchange, offering new insights into nutrition‐guided ...
Fengxiang Zhao +6 more
wiley +1 more source
Smoothing and projecting age-specific probabilities of death by TOPALS
BACKGROUND TOPALS is a new relational model for smoothing and projecting age schedules. The model is operationally simple, flexible, and transparent.
Joop de Beer
doaj
Decoding Naturalistic Episodic Memory with Artificial Intelligence and Brain‐Machine Interface
Episodic memory weaves together what, where, and when of experience into a personal narrative. Cutting‐edge AI models may decode this intricate process in real‐life settings, revealing how neural activity encodes naturalistic memories. By merging AI with brain–machine interfaces, researchers are edging closer to mapping and even engineering memory ...
Dong Song
wiley +1 more source
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source
Relational Logic Database Design Model of Information System Control Project in Pt.istaka Karya [PDF]
Analyzing this data is to provide a clearer picture about the functions of the dataelement or attribute is being investigated. After it was done depiction of therelationship (relationship) of an existing entity such entities.
Djoko Harmantyo, DR., M.Sc Djoko Harmantyo, DR., M.Sc +1 more
core
An orthogonal ionic‐liquid extraction (Orth‐iEA) enables selective isolation of amyloid fibrils. TMGBF4 disrupts hydrogen‐bonded β‐sheet networks to solubilize amyloid aggregates, whereas C12ImCl interacts with hydrophobic regions of non‐amyloid proteins.
Shiying Zheng +10 more
wiley +1 more source
Recognizing students with intellectual disabilities in higher education
According to Article 24 of the United Nations Convention on the Rights of Persons with Disabilities (CRPD), state parties recognize the right of persons with disabilities to education. In this paper we focus on access to higher education for persons with
Inger Marie Lid +3 more
doaj +1 more source
Extending the relational model with uncertainty and ignorance [PDF]
It has been widely recognized that in many real-life database applications there is growing demand to model uncertainty and ignorance. However the relational model does not provide this possibility.
Blok, Henk Ernst +2 more
core +1 more source

