Natural Variation of NAR5 Determines Nitrogenase Activity and the Yield in Soybean
This study identified NAR5, a gene encoding a subtilisin‐like protease, that regulates nitrogenase activity in soybean nodules. Overexpressing NAR5 delayed nodule senescence, enhancing nitrogenase activity, yield, and low‐nitrogen tolerance. The elite haplotype NAR5HapI‐1 linked to superior nitrogenase activity and greater seed weight has been ...
Chao Ma +11 more
wiley +1 more source
Research on strategies for enhancing the competency of safety directors in EPC projects empowered by AI. [PDF]
Guan J, Yang ZC, Wang C.
europepmc +1 more source
An Integrated NLP‐ML Framework for Property Prediction and Design of Steels
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 +5 more
wiley +1 more source
APPLICATION OF GENETIC PROGRAMMING IN SOFTWARE ENGINEERING EMPIRICAL DATA MODELLING
Athanasios Tsakonas, Georgios Dounias
openalex +1 more source
Study on crack propagation law of overlying strata in the process of small coal pillar mining in inclined extra-thick coal seam. [PDF]
Lu W, Zhao P, Jin Q, Jin H, Li S, Bai J.
europepmc +1 more source
Hierarchical Artificial Muscle with Nonlinear Elasticity for Antagonistic and Cyclic Robotics
We construct hierarchical muscles by plying nylon fibers around a heating wire. The hierarchical muscle shows a J‐shaped passive curve, which shows benefit in antagonistic muscle pair and work accumulation mechanism. We also develop a computational, first‐principle model to understand the physics of both active actuation stroke and passive J‐curve ...
Samuel Tsai +15 more
wiley +1 more source
Less is more: usefulness of data flow diagrams and large language models for security threat validation. [PDF]
Mbaka WB, Tuma K.
europepmc +1 more source
A multifaceted chemical strategy, integrating bacterial tropism, metal‐ion interference therapy, and immunotherapy, resulted in significant tumor regression in murine models. A pioneering paradigm for the design of biohybrid materials was established, highlighting how sophisticated chemical engineering of living systems can unlock new avenues for ...
Tingting Zhang +7 more
wiley +1 more source
Pair programming for software engineering education: an empirical study.
Kavitha Karthiekheyan +2 more
openalex +1 more source
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
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

