Results 131 to 140 of about 2,786,553 (287)

Persistently Increased Expression of PKMzeta and Unbiased Gene Expression Profiles Identify Hippocampal Molecular Traces of a Long‐Term Active Place Avoidance Memory and “Shadow” Proteins

open access: yesAdvanced Science, EarlyView.
Protein complexes like KIBRA‐PKMζ are crucial for maintaining memories, forming month‐long protein traces in memory‐tagged neurons, but conventional RNA‐seq analysis fails to detect their transcript changes, leaving memory molecules undetected in the shadows of abundantly‐expressed genes.
Jiyeon Han   +10 more
wiley   +1 more source

Policy Learning Through Transfer - Individuals, Organisations and Network in the Making of Ethiopia’s Industrial Park Programme

open access: yesInternational Review of Public Policy
The orthodox literature on policy transfer and lesson drawing tends to define and distinguish the mechanism of learning as a more horizontal and rational process.
Jing Zhang
doaj   +1 more source

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

open access: yesAdvanced Science, EarlyView.
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

Policy design labs and uncertainty: can they innovate, and retain and circulate learning?

open access: yesPolicy Design and Practice
Around the world in recent times, numerous policy design labs have been established, related to a rising focus on the need for public sector innovation.
Jenny M. Lewis
doaj   +1 more source

Integrating Human Intestinal Organoids into FDA'S New Approach Methodologies for Drug Discovery

open access: yesAdvanced Science, EarlyView.
Illustration summarizes how human intestinal organoids (HIOs) are becoming transformative in preclinical research. Preclinical drug discovery pipelines often rely on animal models for ADMET studies, even though interspecies ADME gaps, poor external validity, and high attrition rates are common.
Debarun Patra   +6 more
wiley   +1 more source

Curriculum Reform in South Africa: Outcomes-Based Education in a BRICS Country

open access: yesВопросы образования
South Africa, a member of the BRICS group of countries, is uniquely positioned within the global education expansion project. This paper aims to remind the reader of the foundational problems in education reform in an emerging economy space, such as in ...
Michele Jennifer Schmidt
doaj   +1 more source

Performance Guarantees for Policy Learning. [PDF]

open access: yesAnn I H P Probab Stat, 2020
Luedtke A, Chambaz A.
europepmc   +1 more source

Multimodal Wearable Biosensing Meets Multidomain AI: A Pathway to Decentralized Healthcare

open access: yesAdvanced Science, EarlyView.
Multimodal biosensing meets multidomain AI. Wearable biosensors capture complementary biochemical and physiological signals, while cross‐device, population‐aware learning aligns noisy, heterogeneous streams. This Review distills key sensing modalities, fusion and calibration strategies, and privacy‐preserving deployment pathways that transform ...
Chenshu Liu   +10 more
wiley   +1 more source

Soft Robotics and Advanced Technologies for Minimally Invasive Bioprinting: The Future of Internal Organ Repair

open access: yesAdvanced Science, EarlyView.
This review examines the evolution of bioprinting toward minimally invasive in situ strategies for internal organ regeneration. It defines the technological roadmap from handheld systems to advanced minimally invasive bioprinting platforms, positioning soft robotics as a core enabler.
Duc Tu Vu   +9 more
wiley   +1 more source

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

open access: yesAdvanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray   +3 more
wiley   +1 more source

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