Results 91 to 100 of about 6,449 (263)

Artificial intelligence and machine learning‐assisted digital applications for biopharmaceutical manufacturing

Biotechnology Progress, EarlyView.
Abstract Artificial intelligence and automation are no longer just buzzwords in the biopharmaceutical industry. The manufacturing of a class of biologics, comprising monoclonal antibodies, cell therapies, and gene therapies, is far more complex than that of traditional small molecule drugs.
Shyam Panjwani, Hao Wei, John Mason
wiley   +1 more source

Multi-objective optimization of HESS control for optimal frequency regulation in a power system with RE penetration

e-Prime: Advances in Electrical Engineering, Electronics and Energy
Concerns over fossil fuel emissions and their hazardous effects have led to a shift away from conventional power plants and focus more on the expansion of renewable energy sources. This shift has resulted in reduced inertia and resulted in poor frequency
Ousama M.T. Ajami, Rodney H.G. Tan, Mithulan Nadarajah, Farah Adilah Jamaludin, Adlan Bagus Pradana   +4 more
doaj   +1 more source

Advancing Maternal Health with Long‐Acting Therapeutics: Priorities, Efficacy and Safety Considerations, and Emerging Technologies

Clinical Pharmacology &Therapeutics, EarlyView.
Maternal health remains a critical global concern, particularly in underserved populations and in low‐ and middle‐income countries where access to safe and effective therapeutics is limited. Despite the use of medications by most women during pregnancy, the exclusion of pregnant and lactating women from clinical trials has resulted in significant data ...
Rachel K. Scott, Sharon Nachman, Ethel D. Weld, Rachel Daley, Shakir Atoyebi, Robert Bies, Catriona Waitt, Adeniyi Olagunju   +7 more
wiley   +1 more source

Instability mechanism and failure characteristics of underground cavern in block system under the action of seismic waves

Deep Underground Science and Engineering, EarlyView.
Seismic waves with tensile stress, high amplitude, and low frequency are most likely to trigger block instability and sliding. Blocks with a single sliding surface are more prone to movement than those with multiple constraints, and roof‐positioned blocks are especially vulnerable to slide.
Xiao Wang, Jinxiao Liu, Gaoshuo Zhang, Wenxin Li, Changdi He   +4 more
wiley   +1 more source

Research progress and current status of dynamic wave propagation characteristics in rock mass: A review

Deep Underground Science and Engineering, EarlyView.
This review elucidates the velocity–dispersion–attenuation coupling mechanisms of wave propagation in rock masses, compares six representative models, and reveals how pressure, temperature, mineral composition, and anisotropy jointly control dynamic responses in complex geological media.
Jiajun Shu, Tao Li, Ruiqi Yuan, Yue Li, Bingni Wu, Bo Liu, Zhengding Deng, Galindo Rubén, Fausto Molina‐Gómez   +8 more
wiley   +1 more source

Seismic analysis and design of tunnels within fault ground: A review

Deep Underground Science and Engineering, EarlyView.
The research methods of seismic response of tunnels within fault ground, including field investigations, analytical solutions, physical experiments, and numerical simulations, and seismic countermeasures are discussed. The present study examines the shortcomings and limitations of the current research and design, and puts forward proposals for future ...
Xingda Wang, Yujing Jiang, Xuepeng Zhang, Yuyong Jiao, Ningbo Li, Xiao Wang, Bo Li   +6 more
wiley   +1 more source

Whole tissue imaging of cellular boundaries at sub‐micron resolutions for deep learning cell segmentation: Applications in the analysis of epithelial bending of ectoderm

Developmental Dynamics, EarlyView.
Abstract Background To understand cellular morphology, biologists have relied on traditional optical microscopy of tissues combined with tissue clearing protocols to image structures deep within tissues. Unfortunately, these protocols often struggle to retain cell boundary markers, especially at high enough resolutions necessary for precise cell ...
Sam C. P. Norris, Jimmy K. Hu, Neil H. Shubin   +2 more
wiley   +1 more source

Analytical Inertia Identification of Doubly Fed Wind Farm with Limited Control Information Based on Symbolic Regression

Applied Sciences
The integration of large-scale wind power clusters significantly reduces the inertia level of the power system, increasing the risk of frequency instability. Accurately assessing the equivalent virtual inertia of wind farms is critical for grid stability.
Mengxuan Shi, Yang Li, Xingyu Shi, Dejun Shao, Mujie Zhang, Duange Guo, Yijia Cao   +6 more
doaj   +1 more source

Machine Learning and Artificial Intelligence Techniques for Intelligent Control and Forecasting in Energy Storage‐Based Power Systems

Energy Science &Engineering, EarlyView.
A new energy paradigm assisted by AI. ABSTRACT The tremendous penetration of renewable energy sources and the integration of power electronics components increase the complexity of the operation and power system control. The advancements in Artificial Intelligence and machine learning have demonstrated proficiency in processing tasks requiring ...
Balasundaram Bharaneedharan, Suresh Panchanathan, Chan Choon Kit, Elumalai Perumal Venkatesan, Nasim Hasan   +4 more
wiley   +1 more source

An Adaptive Inertia and Damping Control Strategy for Virtual Synchronous Generators to Enhance Transient Performance

Energies
Virtual synchronous generator (VSG) technology introduces synthetic rotational inertia and damping into inverter-based systems, thereby enhancing regulation performance under grid-connected operation.
Wenzuo Tang, Bo Li, Xianqi Shao, Yun Ye, Yue Yu, Jiawei Chen   +5 more
doaj   +1 more source