Results 131 to 140 of about 3,507,608 (252)
Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning
This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley +1 more source
To Greater Twist: A Kinetically Biased π‐Radical Cascade
π‐Radical cascades enable step‐economic construction of complex polycyclic aromatic frameworks. In this work, we show that a multifurcating pathway can be kinetically steered toward a single, more distorted product. This counterintuitive “falling‐upward” outcome arises from an intrinsic mechanistic bias, revealing a broader dimension of control in π ...
Yong Yang +8 more
wiley +2 more sources
A novel method for generating versatile standing wave fields using an acoustic metasurface deflector and retroreflector is introduced. By overcoming traditional constraints of parallel surfaces, the approach enables customizable wave patterns and enhances applications in particle manipulation.
Chadi Ellouzi +4 more
wiley +1 more source
A quadrupedal integrated leg‐arm robot with an underactuated reconfigurable body is developed. By using a Sarrus mechanism as the body, the robot enables reconfiguration through its supporting limbs, achieving mode switching without additional actuators.
Xinghan Zhuang +8 more
wiley +1 more source
A mechanics‐informed machine learning framework enables mechanics field prediction and inverse design of tendon–bone enthesis‐inspired functionally graded materials that reduce stress concentration and failure risk. By coupling multiscale finite element modeling, convolutional field prediction, and kernel‐based inverse design, the study uncovers ...
Zhangke Yang, Zhaoxu Meng
wiley +1 more source
In this paper, we apply numerical methods to study inverse nodal problems for the Sturm–Liouville operator. At first, we find an approximate function of the potential from the nodal points of the ( n + 1 ) -th eigenfunction and three constants via the ...
Wang, Yu Ping; Tsai, Tzong-Mo; Akbarpoor, Shahrbanoo; Shieh, Chung-Tsun
core +1 more source
ABSTRACT Nodal T‐follicular helper cell lymphoma (nTFHL), most commonly of angioimmunoblastic type, exhibits heterogeneous clinical outcomes that are not fully explained by current clinical and biological variables. While genetic alterations have been extensively investigated, its proteomic landscape remains largely unexplored.
David Beauvais +9 more
wiley +1 more source
ABSTRACT Background Olfactory neuroblastoma (ONB) exhibits variable recurrence patterns, with significant late recurrences occurring years after treatment. We investigated cutoff periods to define late recurrence and identified predictors that distinguish patients at risk of late recurrence from those considered cured.
Alexandria Harris +23 more
wiley +1 more source
Objective Glycosylphosphatidylinositol (GPI)‐anchored proteins play critical roles in nervous system function. Pathogenic variants in genes involved in GPI‐anchor biosynthesis cause early‐onset multisystem disorders known as inherited GPI deficiencies. We describe a novel neuromuscular phenotype associated with PIGB deficiency.
Gorka Fernández‐Eulate +34 more
wiley +1 more source
Downstream of β-catenin: A positive feedback loop between Goosecoid and Nodals in Spemann's organizer. [PDF]
Azbazdar Y, De Robertis EM.
europepmc +1 more source

