Specificity and tunability of efflux pumps: A new role for the proton gradient? [0.03%]
外排泵的特异性和可调性：质子梯度的新角色？
Matthew Gerry,Duncan Kirby,Boian S Alexandrov et al.
Matthew Gerry et al.
Efflux pumps that transport antibacterial drugs out of bacterial cells have broad specificity, commonly leading to broad spectrum resistance and limiting treatment strategies for infections. It remains unclear how efflux pumps can maintain ...
Human-like face pareidolia emerges in deep neural networks optimized for face and object recognition [0.03%]
优化面部和物体识别的深度神经网络中出现人脸小人形错觉
Pranjul Gupta,Katharina Dobs
Pranjul Gupta
The human visual system possesses a remarkable ability to detect and process faces across diverse contexts, including the phenomenon of face pareidolia--seeing faces in inanimate objects. Despite extensive research, it remains unclear why t...
Social mates dynamically coordinate aggressive behavior to produce strategic territorial defense [0.03%]
社交伴侣通过动态协调攻击行为来进行战略性领地防御
Nicole M Moody,Cole M Williams,Sohini Ramachandran et al.
Nicole M Moody et al.
Negotiating social dynamics among allies and enemies is a complex problem that often requires individuals to tailor their behavioral approach to a specific situation based on environmental and/or social factors. One way to make these contex...
Exploiting the similarity of dissimilarities for biomedical applications and enhanced machine learning [0.03%]
利用相似性的差异应用于生物医学和增强型机器学习中
Mohammad Neamul Kabir,Li Rong Wang,Wilson Wen Bin Goh
Mohammad Neamul Kabir
The "similarity of dissimilarities" is an emerging paradigm in biomedical science with significant implications for protein function prediction, machine learning (ML), and personalized medicine. In protein function prediction, recognizing d...
Physiology-informed regularisation enables training of universal differential equation systems for biological applications [0.03%]
基于生理学的正则化使生物应用中的通用微分方程系统训练成为可能
Max de Rooij,Balázs Erdős,Natal A W van Riel et al.
Max de Rooij et al.
Systems biology tackles the challenge of understanding the high complexity in the internal regulation of homeostasis in the human body through mathematical modelling. These models can aid in the discovery of disease mechanisms and potential...
Soham Mandal,Ann-Marie Baker,Trevor A Graham et al.
Soham Mandal et al.
The applications of artificial intelligence (AI) and deep learning (DL) are leading to significant advances in cancer research, particularly in analysing histopathology images for prognostic and treatment-predictive insights. However, effec...
Data-driven discovery and parameter estimation of mathematical models in biological pattern formation [0.03%]
基于数据的生物图案形成中数学模型的数据驱动发现与参数估计
Hidekazu Hishinuma,Hisako Takigawa-Imamura,Takashi Miura
Hidekazu Hishinuma
Mathematical modeling has been utilized to explain biological pattern formation, but the selections of models and parameters have been made empirically. In the present study, we propose a data-driven approach to validate the applicability o...
Balancing central control and sensory feedback produces adaptable and robust locomotor patterns in a spiking, neuromechanical model of the salamander spinal cord [0.03%]
中枢控制和感觉反馈的平衡产生了一种稳健且可塑的有脊椎模型爬行动物运动模式
Alessandro Pazzaglia,Andrej Bicanski,Andrea Ferrario et al.
Alessandro Pazzaglia et al.
This study introduces a novel neuromechanical model employing a detailed spiking neural network to explore the role of axial proprioceptive sensory feedback, namely stretch feedback, in salamander locomotion. Unlike previous studies that of...
Trajectory inference from single-cell genomics data with a process time model [0.03%]
基于过程时间模型的单细胞基因组学数据轨迹推理方法
Meichen Fang,Gennady Gorin,Lior Pachter
Meichen Fang
Single-cell transcriptomics experiments provide gene expression snapshots of heterogeneous cell populations across cell states. These snapshots have been used to infer trajectories and dynamic information even without intensive, time-series...
Extracting the fingerprints of sequences of random rhythmic auditory stimuli from electrophysiological data [0.03%]
从电生理数据中提取随机节奏听觉刺激序列的特征指纹
Fernando A Najman,Antonio Galves,Marcela Svarc et al.
Fernando A Najman et al.
It has been classically conjectured that the brain assigns probabilistic models to sequences of stimuli. An important issue associated with this conjecture is the identification of the classes of models used by the brain to perform this tas...