Results 91 to 100 of about 46,903 (288)

Transcription Factor Promiscuity Drives Regulatory Rewiring and Evolvability in Gene Networks in Bacteria

open access: yesAdvanced Science, EarlyView.
When a master transcription factor (TF) is lost, bacteria can rapidly rewire gene regulatory networks by co‐opting related regulators. Using experimental evolution in Pseudomonas fluorescens, we show that TF promiscuity (low‐level, non‐cognate binding) provides the raw material for rewiring. Successful co‐option follows a predictable hierarchy governed
Tiffany B. Taylor, Alan M. Rice
wiley   +1 more source

Virtual Analysis of Machine Tools [PDF]

open access: yesActa Mechanica Slovaca, 2017
Dominika Palaščáková, Peter Demeč
openaire   +1 more source

Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials

open access: yesAdvanced Science, EarlyView.
Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan   +8 more
wiley   +1 more source

Geometric Error Analysis and Compensation of Rotary Axes of Five-axis Machine Tools

open access: yes工程科学与技术, 2020
The position independent geometric errors (PIGEs) of the rotating axes of five-axis machine tools caused by the assembly are the key factor to determine the accuracy of the machine. Quantization analysis of the influence of PIGEs on the accuracy of error
Shijie GUO, Dongsheng ZHANG
doaj  

Accuracy Enhancement Of Machine Tools By Virtual Machining Systems

open access: yes, 2015
Actual machining processes can be analyzed and modified in virtual environments in order to increase accuracy and efficiency of part manufacturing. So, more added value in part production can be achieved by analyzing as well as modifying actual machining processes using virtual machining systems.
openaire   +2 more sources

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

open access: yesAdvanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu   +8 more
wiley   +1 more source

Analysis Of Machine Tools Accuracy By Virtual Machining Systems

open access: yes, 2015
To increase accuracy as well as efficiency in part manufacturing, virtual manufacturing systems are presented by simulating production processes in digital environments. Thus, the modified operations of machine tools can increase added value in part manufacturing processes.
openaire   +1 more source

A Computational Strategy for Identifying Self‐Assembling Food‐Derived Molecules for Antiparasitic Nanotherapy

open access: yesAdvanced Science, EarlyView.
An integrated computational screening strategy identified ursolic acid (UA) and 18β‐glycyrrhetinic acid (18βGA) as a self‐assembling food‐derived molecular pair. The resulting carrier‐free nanoparticles (UA‐18βGA) showed synergistic antiparasitic activity, reduced combined toxicity, and host‐protective anti‐inflammatory effects in zebrafish and murine ...
Shenye Qu   +8 more
wiley   +1 more source

Dynamics Analysis of a New Five DOF Hybrid Machine Tool

open access: yesJixie chuandong, 2019
Based on the analysis of the new five-degree-of-freedom hybrid machine tool mechanism ((3-RPR+R) & UPS) +P, the Jacobian matrix of the velocity of the mechanism is obtained, and the mapping matrix of the centroid velocity of each branch and the ...
Wenwen Xu   +3 more
doaj  

Digital Twin Modeling Enabled Machine Tool Intelligence: A Review

open access: yesChinese Journal of Mechanical Engineering
Machine tools, often referred to as the “mother machines” of the manufacturing industry, are crucial in developing smart manufacturing and are increasingly becoming more intelligent.
Lei Zhang, Jianhua Liu, Cunbo Zhuang
doaj   +1 more source

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