Results 151 to 160 of about 83,957 (266)

Personalized Network‐Guided Neuromodulation Enhances Human Working Memory

Advanced Science, EarlyView.
A personalized neuromodulation framework combining individualized functional brain network targeting with real‐time neural decoding is introduced. Using concurrent TMS–fMRI, participant‐specific stimulation targets and optimal frequencies are identified. Only optimal‐frequency stimulation improves working memory across sessions.
Ahsan Khan, Hongming Li, Camille Blaine, Julie Grier, Ethan Hammett, Almaris Figueroa‐Gonzalez, Sarai Garcia, Romain Duprat, Justin Reber, Joseph Deluisi, Christos Davatzikos, Theodore D. Satterthwaite, Yong Fan, Desmond J. Oathes   +13 more
wiley   +1 more source

Minimum marker densities for accurate genomic predictions and heritability estimates in three major North American and European spruce species. [PDF]

Heredity (Edinb)
Soro A, Lenz P, Beaulieu J, Laverdière JP, Nadeau S, Gagnon F, Ogut F, Wu HX, Perron M, Bousquet J.   +9 more
europepmc   +1 more source

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

Advanced 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, Andrew R. Castillo, Manoj Kolel‐Veetil, Surya R. Kalidindi   +3 more
wiley   +1 more source

The Relationship of Nest-Site Selection Parameters, Timing of Breeding, Brood Size, and Nestling Body Condition With Brood Sex Ratio in the Black-Crowned Night Heron <i>Nycticorax nycticorax</i>. [PDF]

Ecol Evol
Vesali SF, Varasteh Moradi H, Amininasab SM, Pirsaraei ZA.   +3 more
europepmc   +1 more source

Tree Breeding for Wood Quality in Tropical Trees

The Japanese Forest Society Congress, 2013
Ishiguri, Futoshi, Makino, kazuko, Takashima, Yuya, Aiso, Haruna, Iizuka, Kazuya, Yokota, Shinso, Yoshizawa, Nobuo, Imam, Wahyudi   +7 more
openaire   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

Seasonal Variation and Genetic Evaluation of Needle Catechin Content in Half-Sib Families of <i>Pinus taeda</i>. [PDF]

Plants (Basel)
Sun J, Wang L, Liu T, Luo J, Gao C, Huang S, Zhang X, Yu J, Liu F, Cao L, Zhang Y, Liu C.   +11 more
europepmc   +1 more source

Unifying Composition and Process Design: A Heterogeneous Graph Neural Network for Discovering High‐Performance Cu Alloys

Advanced Science, EarlyView.
By overcoming the fixed‐path limitations of conventional machine learning, a heterogeneous graph neural network fundamentally reconstructs material data representation. Integrating variable processing sequences with intrinsic elemental features, this framework enables exploratory optimization across high‐dimensional spaces.
Jie Yin, Qian Lei, Wei Yan, Yue Li, Tong Xie, Shuang Zhou, Chong Wang, Bram Hoex, Qiang Long, Caoyang Jiang, Min Song, Zhou Li, Zhangwei Wang   +12 more
wiley   +1 more source

Breeding for climate adaptation: genetic variation and genomic selection for drought response in Scots pine. [PDF]

BMC Genomics
Chaudhary R, Estravis Barcala M, Fundova I, Funda T, Chen ZQ, Wu HX.   +5 more
europepmc   +1 more source

High‐Throughput Screening and Interpretable Machine Learning for Rational Design of Bimetallic Catalysts for Methane Activation

Advanced Science, EarlyView.
ABSTRACT Methane's efficient catalytic removal is vital for sustainable development. Bimetallic catalysts, though promising for methane activation, pose a design challenge due to their complex compositional space. This work introduces an integrated framework that combines high‐throughput density functional theory (DFT) and interpretable machine ...
Mingzhang Pan, Tian Zhang, Jiawei Dong, Yubao Xie, Kaifeng Zhong, Wei Guan, Haiqiao Wei, Changcheng Fu, Yaqiong Su   +8 more
wiley   +1 more source