Results 181 to 190 of about 268,397 (277)

A Computational Workflow for Cell Line Profiling by Imaging Mass Cytometry

open access: yesCytometry Part A, EarlyView.
ABSTRACT In single‐cell spatial phenotyping biology, imaging mass cytometry (IMC) stands out as a cutting‐edge, highly multiplexed technology driving discoveries across various disease areas. In vitro profiling relies on tumor‐derived cancer cell lines, known for their diverse morphologies and phenotypes.
Alexandre Bouzekri   +2 more
wiley   +1 more source

Blasting effects of cross‐fault deep‐buried excavation on adjacent existing tunnel stability

open access: yesDeep Underground Science and Engineering, EarlyView.
Based on the theoretical analysis of cylindrical wave propagation in a deep rock mass in the fault with a filling layer, the calculation method of peak particle velocity caused by wave propagation in the existing tunnel is established. The viscoelastic characteristics of a rock mass are examined in the analysis.
Shaobo Chai   +5 more
wiley   +1 more source

A contemporary simple risk score for prediction of severe acute kidney injury after heart transplantation

open access: yesESC Heart Failure, Volume 12, Issue 2, Page 1166-1175, April 2025.
A contemporary simple risk score for prediction of severe AKI after HT. Abstract Background The aim of this study was to develop a simple risk score to estimate severe acute kidney injury (AKI) risk based on a large contemporary heart transplantation (HT) cohort.
Shuangshuang Zhu   +10 more
wiley   +1 more source

Rhythms in longitudinal thalamic recordings are linked to seizure risk

open access: yesEpilepsia, EarlyView.
Abstract Objective Seizure unpredictability remains a major clinical challenge for people with epilepsy. Previous works have shown that seizure risk is associated with circadian and multi‐day cycles in both brain and physiological signals. However, it remains unclear whether neural activity from deep brain structures such as the anterior nucleus of the
Xinbing Zhang   +5 more
wiley   +1 more source

Probabilistic Multi‐Objective Energy Management System Model for an Energy Hub With PtG Technology for Cost Reduction and System Flexibility Improvement

open access: yesEnergy Science &Engineering, EarlyView.
Overview of the under‐study hub energy model showing the energy conversion and distribution among integrated sources and loads. ABSTRACT In this paper, a probabilistic bi‐objective energy management system (EMS) model is proposed for an energy hub (EH) equipped with renewable energy sources such as photovoltaic and wind turbine connected to the main ...
Mohammad Khoshabi   +3 more
wiley   +1 more source

Research on Thermal Runaway Multiphysics Coupling Simulation and Sensor Optimization Layout of Lithium Iron Phosphate Energy Storage Battery Packs

open access: yesEnergy Science &Engineering, EarlyView.
This study explores thermal runaway in lithium‐iron‐phosphate energy storage battery packs through multi‐physics coupling simulation. Thermal runaway evolves from battery cells (experiencing overcharge, bulging, safety valve opening, and gas venting) to battery clusters (a) and propagates within the battery pack (b). Simulation results indicate: stress
Dongliang Guo   +6 more
wiley   +1 more source

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

open access: yesEnergy 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   +4 more
wiley   +1 more source

Mixed Integer Linear Programming Optimization of Gas Supply to a Local Market. [PDF]

open access: yesInd Eng Chem Res, 2018
Mikolajková M, Saxén H, Pettersson F.
europepmc   +1 more source

Optimizing Electric Vehicle Charging Scheduling With Deep Q Networks and Long Short‐Term Memory‐Based Electricity and Battery State of Charge Prediction

open access: yesEnergy Science &Engineering, EarlyView.
Schematic diagram showing the proposed approach for EV charging/discharging. ABSTRACT The number of electric vehicles (EVs) on the road is rising as a result of recent advancements in EV technology, and EVs are important to the smart grid economy. Demand response schemes involving electric vehicles have the potential to dramatically reduce the cost of ...
F. Zonuntluanga   +6 more
wiley   +1 more source

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