Results 161 to 170 of about 5,663,589 (279)

Unsupervised Hierarchical Symbolic Regression for Interpretable Property Modeling in Complex Multi‐Variable Systems

Advanced Science, EarlyView.
UHSR translates complex chemical behavior into clear and explainable equations. Applied to thin‐layer chromatography, it automatically uncovers the mathematical rules linking a molecule's structure to its polarity. This approach matches the accuracy of advanced AI while providing interpretable results, earning greater trust from chemists. The method is
Siyu Lou, Chengchun Liu, Dongxiao Zhang, Yuntian Chen, Fanyang Mo   +4 more
wiley   +1 more source

Species diversity and competition influence nitrogen resorption efficiency in mixed hardwood plantations. [PDF]

Oecologia
Nelson TM, Park M, Cotrozzi L, Blackstone KMS, McNickle GG, Jacobs DF, Couture JJ.   +6 more
europepmc   +1 more source

Hierarchical Channeled Graphitized Nanoarchitecture as a Diagnostic Platform for Maternal Fever Warning

Advanced Science, EarlyView.
This study presents a hierarchically channeled graphitized nanoarchitecture (HPGC‐Z67) as a novel nano‐diagnostic platform. It enables sensitive and efficient N‐glycan extraction from plasma, significantly reducing processing time and cost. The platform identifies pivotal N‐glycans to accurately differentiate between infectious and non‐infectious ...
Yiwen Lin, Ning Li, Heyuhan Zhang, Xufang Hu, Zhiqiang Liu, Chunhui Deng   +5 more
wiley   +1 more source

Catechol Derivative‐Based Bioadhesives: Molecular Design for Precision Medical Adhesion

Advanced Science, EarlyView.
This study utilizes tree‐inspired side‐chain engineering to graft five catechol derivatives onto PVA, systematically revealing how side‐chain length and substituents regulate adhesion and cohesion properties. Among them, the PVA‐CA patch demonstrates superior tissue adhesion, biocompatibility, and promotes regeneration, establishing a programmable ...
Xueyu Wang, Zixin Yang, Shan Wang, Weiwei Tan, Zhirui He, Qinyu Duan, Huanan Wang, Tao Chen, Shanshan Hu   +8 more
wiley   +1 more source

Distribution and shared evolutionary history of the Fumonisin and AAL toxin biosynthetic gene clusters. [PDF]

BMC Genomics
Proctor RH, Busman M, Kim HS, Menke J, Villani A, Lohmar JM, Brown DW, Turgeon BG, Susca A, Moretti A, Bushley KE.   +10 more
europepmc   +1 more source

Getting Chemicals into Trees without Spraying

, 2011
Chemicals are applied to trees for many reasons. Insecticides repel or kill damaging insects, fungicides treat or prevent fungal diseases, nutrients and plant growth regulators affect growth, and herbicides kill trees or prevent sprouting after tree removal. Spraying is the most typical way to apply these chemicals.
openaire   +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

Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials

Advanced Science, EarlyView.
Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan, Hengheng Zhao, Haotian Wang, Zhanjie Liu, Qian Li, Weifeng Zhang, Qingsong Zhao, Liqun Zhang, Jun Liu   +8 more
wiley   +1 more source

Conceptual pitfalls in the forest carbon debate : Comment solicited by Prof Yiping (Rocky) Wu, 30 Aug. 2025, revised Dec 2025. [PDF]

Carbon Balance Manag
Körner C.
europepmc   +1 more source

Forecasting Root Rot Disease through Predictive Microbial Functional Profiling

Advanced Science, EarlyView.
Predicting soil‐borne disease moves beyond observation with a framework that elevates microbial functional genes into reliable forecasting biomarkers. By coupling targeted qPCR assays for core stress‐response genes with machine learning, this method detects root rot risks in pre‐symptomatic soils with over 80% accuracy.
Chuan You, Peng Ren, Ying Guan, Kai Gong, Zhen Hua, Wuxian Zhou, Xinlan Mei, Yikui Wang, Xiaofang Wang, Yangchun Xu, Qirong Shen, Zhong Wei   +11 more
wiley   +1 more source