Results 91 to 100 of about 26,770 (264)

Advancing Precision Nutrition Through Multimodal Data and Artificial Intelligence

open access: yesAdvanced Science, EarlyView.
Individual responses to food vary dramatically, challenging traditional dietary advice. This review explores how the unique genetic makeup, gut microbiome, and brain activity shape host metabolic health. We examine how artificial intelligence integrates these multimodal data to predict individualized dietary needs, moving beyond one‐size‐fits‐all ...
Yuanqing Fu   +5 more
wiley   +1 more source

Geneza intuicjonistycznego rachunku zdań i Twierdzenie Gliwienki

open access: yesZagadnienia Filozoficzne w Nauce, 2014
Among the non-classical logics, the intuitionistic one stands out in many ways. First of all, because of its properties, it is grateful subject of formal analysis.
Piotr Urbańczyk
doaj  

Cascade‐Responsive MXene@Cu‐MOF Heterostructure Integrates Antioxidant Activity, Infection Control, and Vascularization for Tracheal Repair

open access: yesAdvanced Science, EarlyView.
A cascade‐responsive MXene@Cu‐MOF/GelMA hydrogel is engineered as a “skeleton–backpack” platform for extensive tracheal repair. The MXene framework scavenges postoperative ROS and converts NIR light into mild hyperthermia, while the Cu‐MOF component provides pH/NIR‐responsive Cu2+ dosing for infection control, angiogenesis, and chondrogenesis.
Liang Guo   +8 more
wiley   +1 more source

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

Selective Targeting of Immune Checkpoints HLA‐G and CD47 Using Novel Dual Signaling Protein DSP216 Promotes Innate Anticancer Immunity

open access: yesAdvanced Science, EarlyView.
The inhibitory immune checkpoints HLA‐G and CD47 are expressed on certain tumor types and inhibit immune cells in the tumor microenvironment. DSP216 binds specifically to cancer cells expressing both HLA‐G and CD47, and blocks their inhibitory signaling.
Lisa J. Jacob   +12 more
wiley   +1 more source

Post‐Translational Modifications in Animal Circadian Clocks

open access: yesAdvanced Science, EarlyView.
Circadian clocks coordinate physiology with daily environmental cycles through conserved transcriptional–translational feedback loops. This review summarizes how post‐translational modifications fine‐tune clock function, highlights the evolutionary convergence of circadian timekeeping in Drosophila and mammals, and emphasizes the central of these ...
Xianhui Liu, Yong Zhang
wiley   +1 more source

Approaching Scarless Wound Healing: From Passive Anti‐Fibrotic to Proactive and Programmable Pro‐Regenerative Strategies

open access: yesAdvanced Science, EarlyView.
This review outlines the wound healing process and factors influencing scar formation, explores how certain animals and human fetuses achieve scarless skin or tissue regeneration, and details tissue engineering material strategies employed in scarless wound dressings.
Meimei Fu   +7 more
wiley   +1 more source

Interpolation in Non-Classical Logics

open access: yes
This is a chapter of the forthcoming book "Theory and Applications of Craig Interpolation", edited by Balder ten Cate, Jean Christoph Jung, Patrick Koopmann, Christoph Wernhard and Frank ...
openaire   +2 more sources

Quantum Immortality and Non-Classical Logic

open access: yes, 2020
The Everett Box is a device in which an observer and a lethal quantum apparatus are isolated from the rest of the universe. On a regular basis, successive trials occur, in each of which an automatic measurement of a quantum superposition inside the apparatus either causes instant death or does nothing to the observer.
openaire   +2 more sources

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

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