Results 11 to 20 of about 10,610 (187)

RESEARCH ON PARAMETRIC ANALYSIS AND MULTI-OBJECTIVE OPTIMIZATION OF CYLINDRICAL PRESSURE STRUCTURE

Jixie qiangdu, 2021
In order to improve the design efficiency and performance of the cylindrical pressure structure,strength and stability analysis methods were determined,the initial scheme was analyzed.
LIU Feng, TU ChaoHua, ZHAO YanKai
doaj  

An Improved Approach for Reducing the Dimensionality of Wing Aerodynamic Optimization Considering Longitudinal Stability

Aerospace
The wing aerodynamic shape optimization is a typical high-dimensional problem with numerous independent design variables. Researching methods to reduce the dimensionality of optimization from the perspective of aerodynamic characteristics is necessary ...
Boqian Ji, Jun Huang, Xiaoqiang Lu, Yacong Wu, Jingjiang Liu   +4 more
doaj   +1 more source

Enhancing hydraulic performance of navigation lock culverts through simulation-driven multi-objective optimization

Discover Applied Sciences
This study aims to enhance the hydraulic performance of navigation lock culverts by applying a simulation-driven, multi-objective optimization approach. The primary objective was to improve the efficiency and safety of the lock filling process—minimizing
Eva Bílková, Lucie Pašková Langová, Jiří Souček, Petr Nowak   +3 more
doaj   +1 more source

Metaheuristic-Based Model Optimization of a Steam-Filled Chamber

IEEE Access
Steam-filled chambers are an important part of many technological processes, among others, in tire manufacturing and electricity production from thermal power plants.
Hubert Guzowski, Roman Senkerik, Maciej Smolka, Frantisek Gazdos, Miroslav Palka, Libor Pekar, Michal Pluhacek, Adam Viktorin, Tomas Kadavy, Aleksander Byrski, Zuzana Kominkova Oplatkova, Radek Matusu, Janusz Kacprzyk   +12 more
doaj   +1 more source

Time after time – circadian clocks through the lens of oscillator theory

FEBS Letters, EarlyView.
Oscillator theory bridges physics and circadian biology. Damped oscillators require external drivers, while limit cycles emerge from delayed feedback and nonlinearities. Coupling enables tissue‐level coherence, and entrainment aligns internal clocks with environmental cues.
Marta del Olmo, Carolin Ector, Hanspeter Herzel   +2 more
wiley   +1 more source

The (Glg)ABCs of cyanobacteria: modelling of glycogen synthesis and functional divergence of glycogen synthases in Synechocystis sp. PCC 6803

FEBS Letters, EarlyView.
We reconstituted Synechocystis glycogen synthesis in vitro from purified enzymes and showed that two GlgA isoenzymes produce glycogen with different architectures: GlgA1 yields denser, highly branched glycogen, whereas GlgA2 synthesizes longer, less‐branched chains.
Kenric Lee, Dimitrios Bekiari, Sofia Doello, Karl Forchhammer   +3 more
wiley   +1 more source

Calpain small subunit homodimerization is robust and calcium‐independent

FEBS Letters, EarlyView.
Calpains dimerize via penta‐EF‐hand (PEF) domains. Using single‐molecule force spectroscopy, we measured the strength and kinetics of PEF–PEF homodimer binding. The interaction is robust, shows a transient conformational step before dissociation, and remains largely insensitive to Ca2+.
Nesha May O. Andoy, Trina Dykstra‐MacPherson, Mathias A. Bell, Peter L. Davies, Ruby May A. Sullan   +4 more
wiley   +1 more source

Valosin‐containing protein counteracts ATP‐driven dissolution of FUS condensates through its ATPase activity in vitro

FEBS Letters, EarlyView.
Biomolecular condensates formed by fused in sarcoma (FUS) are dissolved by high ATP concentrations yet persist in cells. Using a reconstituted system, we demonstrate that valosin‐containing protein (VCP), an AAA+ ATPase, counteracts ATP‐driven dissolution of FUS condensates through its D2 ATPase activity.
Hitomi Kimura, Shin‐ichi Tate, Kyota Yasuda   +2 more
wiley   +1 more source

Machine learning-driven building energy optimization: integrating EnsembleXGBoost sensitivity analysis with meta-heuristic algorithms and carbon economics

Energy Conversion and Management: X
While recent building optimization studies achieve significant energy reductions, they often overlook two critical gaps: (1) proceeding on fixed, non-optimized building geometries, and (2) using machine learning (ML) solely as computational surrogates ...
Mahdi Asghari, Melika Jahangiri, Khosro Ashrafi   +2 more
doaj   +1 more source

The Dynamic Characteristic of a Faulted Rotor System with Multi-Objective Optimization Designed SFD

Applied Sciences, 2019
As an important part of the turbomachinery, the rotor–bearing system has been upgraded to provide a high rotating speed in order to meet the demand of high power production.
Liang Ma, Jun Wang, Guichang Zhang
doaj   +1 more source