Results 51 to 60 of about 644,997 (352)
Revealing the structure of land plant photosystem II: the journey from negative‐stain EM to cryo‐EM
Advances in cryo‐EM have revealed the detailed structure of Photosystem II, a key protein complex driving photosynthesis. This review traces the journey from early low‐resolution images to high‐resolution models, highlighting how these discoveries deepen our understanding of light harvesting and energy conversion in plants.
Roman Kouřil
wiley +1 more source
With the development of information technology, computer technology has been increasingly applied to management. This study aims to address problems such as low efficiency, high cost, and unstable quality in engineering project management.
Xiu Luo, Zhouxin Yi
doaj +1 more source
Decision-Making of Underwater Cooperative Confrontation Based on MODPSO
This paper proposes a multi-objective decision-making model for underwater countermeasures based on a multi-objective decision theory and solves it using the multi-objective discrete particle swarm optimization (MODPSO) algorithm.
Na Wei, Mingyong Liu, Weibin Cheng
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Two-Stage Multi-Swarm Particle Swarm Optimizer for Unconstrained and Constrained Global Optimization
This paper presents a new two-stage multi-swarm particle swarm optimizer (TMPSO), which employs the multi-swarm method and takes two-stage different search strategies in the whole iteration process. This new optimizer includes two versions: unconstrained
Qiang Zhao, Changwei Li
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Organoids in pediatric cancer research
Organoid technology has revolutionized cancer research, yet its application in pediatric oncology remains limited. Recent advances have enabled the development of pediatric tumor organoids, offering new insights into disease biology, treatment response, and interactions with the tumor microenvironment.
Carla Ríos Arceo, Jarno Drost
wiley +1 more source
This research develops a multi-layer hybrid soft-sensor model to improve the accuracy of building thermal load prediction using integrated data. The multi-layer hybrid model (autoregressive and particle swarm optimization neural network) hybridizes an ...
Kai Liu +3 more
doaj +1 more source
An Airborne Multi-Sensor Task Allocation Method Based on Improved Particle Swarm Optimization Algorithm [PDF]
The characteristics of airborne multi-sensor task allocation problem are analyzed, and an airborne multi-sensor task allocation model is established. In order to solve the problems of local convergence and slow convergence of the traditional Particle ...
doaj +1 more source
Research on MPPT control strategy of photovoltaic cells under multi-peak
Under the condition of partial shadow occlusion, the P-U curve of the photovoltaic array exhibits the characteristics of multi-peak output. The traditional maximum power point tracking (MPPT) algorithm is easy to fail, and the particle swarm algorithm ...
Chun-guang Zhou +3 more
doaj +1 more source
A Novel Multi-Swarm Approach for Numeric Optimization [PDF]
In order to solve the numeric optimization problems, swarm-based meta-heuristic algorithms can be used as an alternative to solve optimization problems. Meta-heuristic algorithms do not guarantee finding the optimal solution but they produce acceptable solutions in a reasonable computation time.
openaire +2 more sources
Mechanisms of parasite‐mediated disruption of brain vessels
Parasites can affect the blood vessels of the brain, often causing serious neurological problems. This review explains how different parasites interact with and disrupt these vessels, what this means for brain health, and why these processes matter. Understanding these mechanisms may help us develop better ways to prevent or treat brain infections in ...
Leonor Loira +3 more
wiley +1 more source

