Management history can cause irreversible changes in agroecosystems: insights from an extended Carpenter model [0.03%]
管理历史可以对农业生态系统造成长期的影响——扩展的Carpenter模型分析
Athmanathan Senthilnathan,Theresa Wei Ying Ong
Athmanathan Senthilnathan
History-dependence plays a significant role in understanding how ecosystems can shift dramatically in response to environmental changes. Hysteresis is a special case in which a shift from a desirable state to an undesirable state can only b...
Unified three-dimensional bipedal locomotion control via ground reaction force-based joint compliance modulation [0.03%]
基于地面反作用力的关节柔顺性调节统一三维双足步行控制
Shunsuke Koseki,Omid Mohseni,Mitsuhiro Hayashibe et al.
Shunsuke Koseki et al.
Human walking is inherently three-dimensional, requiring coordinated control in multiple planes of motion. Among these, controls in the sagittal and frontal planes play central roles in propulsion and balance. While sagittal plane control h...
Perception in action: a robotic system that can teach itself to melodiously play music by ear [0.03%]
听觉感知：一种能自我学习美妙地演奏音乐的机器人系统
Hesam Azadjou,Ali Marjaninejad,Francisco J Valero-Cuevas
Hesam Azadjou
Learning to imitate nuanced motor behaviour by perceiving someone's actions is a human ability central to non-verbal communication, interaction and collaboration. Despite extensive psychophysics research, robotic systems do not yet seamless...
Deep neural networks to predict foraging behaviour: saltwater immersion data can accurately predict diving in seabirds [0.03%]
深度神经网络预测觅食行为：盐水浸泡数据可以准确预测 seabirds 的潜水行为
Luke Swaby,Peter Carr,Ruth Dunn et al.
Luke Swaby et al.
The accurate identification of foraging locations is critical for wildlife conservation. While remote sensing and biologging devices provide much of the necessary data, their deployment is often complicated by factors such as weight, batter...
Contrastive graph regularized non-negative matrix factorization for domain identification of spatial transcriptomics [0.03%]
对比图正则化非负矩阵分解在空间转录组学领域识别中的应用
Juntao Li,Jiuxi Huang,Tianhai Tian
Juntao Li
Spatial transcriptomics captures gene expression with spatial resolution, but its high dimensionality complicates spatial domain identification. While deep learning excels in feature extraction, its limited interpretability underscores the ...
Thermodynamic entropy management in human motor control across circadian and thermal challenges [0.03%]
昼夜和热应激下的人类运动控制的热力学熵管理
Chulwook Park
Chulwook Park
The second law of thermodynamics dictates that local decreases in entropy must be offset by increases elsewhere. While this principle is well established in mechanical systems, its role in biological motor control remains underexplored. Thi...
Elucidating bacteriophage dynamics and interactions with real-time label-free optical imaging [0.03%]
基于实时无标记光学成像技术阐释噬菌体的动态变化及其作用机制
Francesco Giorgi,Samuel Chenery,Liberty Duignan et al.
Francesco Giorgi et al.
Bacteriophages are the focus of extensive research, and monitoring their dynamics and interactions with bacterial hosts is crucial to characterize the mechanisms of infection and to support potential applications in biotechnology and medici...
Drab cuckoos retain the melanosome types of brilliantly coloured relatives [0.03%]
色彩黯淡的杜鹃仍保留着色彩艳丽亲戚的色素颗粒类型
Klara Katarina Nordén,Christopher Richard Cooney,Frane Babarović et al.
Klara Katarina Nordén et al.
Structural colour is widespread in animals, yet we know relatively little about its evolution and development. We shed light on the evolution of structural barbule colour (often referred to as iridescent structural colour) by describing fea...
Annie G Bryant,Oliver M Cliff,James M Shine et al.
Annie G Bryant et al.
Information theory is a powerful framework for quantifying complexity, uncertainty and dynamical structure in time-series data, with widespread applicability across disciplines such as physics, neuroscience and finance. However, the literat...
Allometric scaling of brain activity explained by avalanche criticality [0.03%]
关于临界雪崩的全尺度脑活动理论及实验验证
Tiago S A N Simões,José S Andrade,Hans Herrmann et al.
Tiago S A N Simões et al.
Allometric scaling laws, such as Kleiber's law for metabolic rate, highlight how efficiency emerges with size across living systems. The brain, with its characteristic sublinear scaling of activity, has long posed a puzzle: why do larger br...