Results 101 to 110 of about 130,323 (191)

Integrated analysis of meteorological conditions and agricultural yields in Indonesia using causal learning and intelligent clustering for climate change mitigation. [PDF]

Sci Rep
Handhayani T, Arisandi D, Wasino W.
europepmc   +1 more source

An Integrated NLP‐ML Framework for Property Prediction and Design of Steels

Advanced Science, EarlyView.
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju, Adithya Umanath Rai, Jose Thomson, Marzie Ghorbani, Shujing Zhao, Nick Birbilis   +5 more
wiley   +1 more source

ZmMYB127 controls maize endosperm filling via dual-transcriptional regulation to improve grain yield and quality. [PDF]

Nat Plants
Shi J, Li Z, Wang Z, Pan S, Wu X, Wang X, Ye Y, Xu Z, He J, Zhang Z.   +9 more
europepmc   +1 more source

Atomic Defects in Layered Transition Metal Dichalcogenides for Sustainable Energy Storage and the Intelligent Trends in Data Analytics

Advanced Science, EarlyView.
This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo, Ying Yang, Zizhen Fu, Fengqi Liu, Susu Fang, Kele Xu, Shanshan Wang   +6 more
wiley   +1 more source

Identification and validation of qPC-3A, a stable QTL for flour protein content in hard wheat (Triticum aestivum L.). [PDF]

Theor Appl Genet
Cha JK, Park H, Jang SG, Kwon Y, Lee SM, Kim KM, Kim WJ, Lee JH.   +7 more
europepmc   +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

Human-centered design-based lightweight wearable IMU human pose estimation. [PDF]

Sci Rep
Wang L, Liu J, Xue J, Tan Q, Li M.
europepmc   +1 more source

Mapping the “Supply–Demand–Flow” of Ecosystem Services for Ecosystem Management in China

Advanced Science, EarlyView.
This study develops a “supply–demand–flow” framework clarifies how ecosystem services move between regions by distinguishing potential and actual supply and demand. Using integrated biophysical–socioeconomic modeling, nine services in China were mapped.
Yikun Zhang, Yadong Yang, Yongsheng Wang, Guirui Yu   +3 more
wiley   +1 more source

Fast and Interpretable Machine Learning Modeling of Atmospheric Molecular Clusters. [PDF]

J Phys Chem A
Seppäläinen L, Kubečka J, Elm J, Puolamäki KR.   +3 more
europepmc   +1 more source

Unveiling a Bulk WTaV Multicomponent Alloy With Superior Thermal Properties and Manufacturability

Advanced Science, EarlyView.
ABSTRACT Many tungsten (W)‐based medium and high entropy alloys (HEA) demonstrate superior microstructural stability and enhanced mechanical properties as compared to pure W, effectively rendering them as viable candidate materials for extreme environments such as nuclear fusion, aerospace applications, and so on.
Ishtiaque K. Robin, Skye N. Supakul, Shalini Tripathi, Eda Aydogan, Matthew T. Vigil, Caleb Hatler, Bochuan Sun, Akshay Korpe, Enrique Martinez, Saryu J. Fensin, Dan J. Thoma, Osman El‐Atwani   +11 more
wiley   +1 more source