Results 41 to 50 of about 145,154 (213)

Advancing Precision Nutrition Through Multimodal Data and Artificial Intelligence

Advanced 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, Ke Zhang, Zelei Miao, Gaoyi Yang, Yujing Huang, Ju‐Sheng Zheng   +5 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

Advanced 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, Alejandro Grau‐Perales, Rayna M. Harris, Edith Lesburguères, Hsin‐Yi Kao, Asit Pal, Juan Marcos Alarcon, Todd C. Sacktor, Stefano Martiniani, Hans A. Hofmann, André A. Fenton   +10 more
wiley   +1 more source

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

Advanced 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, Mengtao Sun, Lusheng Li, Jieqiong Wang, Shibiao Wan   +4 more
wiley   +1 more source

Arithmetic, Set Theory, Reduction and Explanation [PDF]

, 2018
Philosophers of science since Nagel have been interested in the links between intertheoretic reduction and explanation, understanding and other forms of epistemic progress.
D’Alessandro, William
core  

Deep Brain Stimulation Induces Antidepressant Effects by Restoring High‐Fidelity Communication in the BNST‐NAc Circuit

Advanced Science, EarlyView.
This cross‐species study reveals that pathological hyperactivity of BNST neurons in depressive states disrupts inhibitory period and isolated spikes in the BNST‐NAc circuit. DBS achieves its antidepressant effects by precisely restoring network inhibitory periods and high‐fidelity signal transmission.
Xin Lv, Yu Cao, Yuhan Wang, Yunhao Wu, Yingying Zhang, Kuanghao Ye, Xian Qiu, Qingfang Sun, Liuguan Bian, Halimureti Paerhati, Valerie Voon, Shikun Zhan, Bomin Sun   +12 more
wiley   +1 more source

Adult Sex Ratio as a Demographic Feedback Linking Mating Systems, Parental Care, and Evolution

Advanced Science, EarlyView.
Breeding systems are some of the most diverse social behavior, and our team is investigation the evolutionary causes of this diversity. This review summarises our research carried out at the University of Bath. We argue that demographic components of wild populations, especially the adult sex ratio, plays a key role driving breeding system variation ...
Tamás Székely, Oscar G. Miranda
wiley   +1 more source

Formal logic: Classical problems and proofs [PDF]

, 2019
Not focusing on the history of classical logic, this book provides discussions and quotes central passages on its origins and development, namely from a philosophical perspective.
Augusto, Luis M.
core  

Cauchy's infinitesimals, his sum theorem, and foundational paradigms

, 2017
Cauchy's sum theorem is a prototype of what is today a basic result on the convergence of a series of functions in undergraduate analysis. We seek to interpret Cauchy's proof, and discuss the related epistemological questions involved in comparing ...
A Alexander, A Borovik, A Kock, A Robinson, A Tarski, AL Cauchy, AL Cauchy, AL Cauchy, Alexandre Borovik, C Boyer, C Fraser, C Fraser, C Schmieden, D Laugwitz, D Laugwitz, D Spalt, David M. Schaps, David Sherry, E Giusti, E Hewitt, E Nelson, G Arsac, G Ferraro, G Fisher, H Bos, H Bosmans, H Edwards, H Ishiguro, H Sørensen, I Grattan-Guinness, J Bell, J Cleave, J Earman, J Grabiner, J Grabiner, J Grabiner, J Gray, J-P Ramis, K Easwaran, K Katz, K Katz, K Viertel, Karin U. Katz, M Hellyer, M Katz, M Katz, M Katz, M Katz, M McKinzie, M McKinzie, M Nakane, M Wartofsky, Mikhail G. Katz, N Cutland, P Benacerraf, P Błaszczyk, P Halmos, P Mancosu, Piotr Błaszczyk, R Bradley, S Unguru, Semen S. Kutateladze, T Bascelli, T Kuhn, T Tao, Thomas McGaffey, Tiziana Bascelli, V Kanovei, V Kanovei, Vladimir Kanovei, W Quine, Y Sergeyev   +71 more
core   +1 more source

Sub‐Unit‐Cell Logic Governs Transport in TPMS Architectures

Advanced Science, EarlyView.
ABSTRACT Next‐generation energy, thermal, and chemical systems require architectures capable of highly efficient transport across multiple length scales. Triply periodic minimal surfaces (TPMS), first conceptualized in 1865, offer inherently scalable geometries with exceptional transport potential, yet mechanistic links between topology and performance
Haozhang Zhong, Yipei He, Jiaxuan Wang, Chenyi Qian, Gerd E Schröder‐Turk, Raj Das, Junye Shi, Qi Tang, Zheda Ning, Wenjue Yi, Chuanwei Li, Jiangping Chen, Zeyao Chen, Binbin Yu, Jian LU, Jianfeng Gu, Ma Qian   +16 more
wiley   +1 more source

Magneto‐X Effects in Magnetic Soft Materials and Their Applications

Advanced Science, EarlyView.
This review systematically explores magnetic soft materials (MSMs), a novel class of composites that transform under magnetic fields. It catalogs fundamental “Magneto‐X” effects, classifies materials by their matrix and magnetic fillers, and highlights transformative applications in soft robotics, biomedical devices, flexible electronics, etc. Finally,
Ziyin Xiang, Xiangling Xia, Benjamin Ducharne, Yujie Ye, Jie Shang, Run‐Wei Li   +5 more
wiley   +1 more source