Results 121 to 130 of about 4,242,048 (285)

A Decoy‐Receptor‐Armed Biomimetic Nanotherapeutic With Inherent Tropism for Conserved Pathogenic Macrophages for Treating Osteoarthritis and Intervertebral Disc Degeneration

open access: yesAdvanced Science, EarlyView.
A biomimetic doppelgänger nanosystem neutralizes extracellular inflammatory cytokines and silences intracellular pyroptosis, reprogramming pathogenic macrophages to attenuate both joint and spine degeneration. ABSTRACT Osteoarthritis (OA) and intervertebral disc degeneration (IVDD) are debilitating musculoskeletal disorders driven by shared ...
Fudong Li   +9 more
wiley   +1 more source

ATFM airborne delays without extra fuel consumption in wind conditions [PDF]

open access: yes, 2012
Air Traffic Flow Management (ATFM) regulations, such as ground holdings, are often canceled before their initially planned ending time. The ground delays impact on the cost of recovering part of the delay if the regulation is canceled, as aircraft are ...
Delgado, L., Prats, X.
core  

Fuel consumption prediction of civil air crafts using deep learning: a comparative study [PDF]

open access: yes
Accurate fuel consumption prediction is critical for minimizing the adverse impact of fuel emissions on the environment, conserving fuel, and reducing flight costs.
Nguyen, Quoc Hung; University of Economics Ho Chi Minh City (UEH)   +1 more
core   +1 more source

EBV‐Driven ODC1 Upregulation Enhances Polyamine Anabolism to Promote Viral Replication and Cisplatin Resistance in Nasopharyngeal Carcinoma

open access: yesAdvanced Science, EarlyView.
EBV‑BZLF1 initiates ODC1‑driven polyamine anabolism that correlates with poor clinical prognosis in nasopharyngeal carcinoma. The ODC1–spermidine axis promotes viral replication, cell proliferation and innate immune evasion. Pharmacological inhibition of ODC1 rescues cisplatin sensitivity, establishing ODC1 as a viable therapeutic target for EBV ...
Yueshuo Li   +9 more
wiley   +1 more source

China's Low‐Carbon Energy Transition Over the Past Two Decades: Experiences and Implications

open access: yesAdvanced Science, EarlyView.
China's low‐carbon energy transition features a brief decline and subsequent rebound in coal consumption, alongside the rapid expansion of renewable energy. This study develops a stage‐based analytical framework to explain this evolution from the perspectives of economic development, energy security, and environmental sustainability, revealing how ...
Yu Liu   +3 more
wiley   +1 more source

Investigating Fuel Injection Strategies to Enhance Ship Energy Efficiency in Wave Conditions

open access: yesPolish Maritime Research
The prediction of fuel consumption and resulting transportation costs is a crucial stage in ship design, particularly for conditions involving motion in waves.
Ghaemi Hossein   +2 more
doaj   +1 more source

Fuel Consumption Prediction Model using Machine Learning [PDF]

open access: yesInternational Journal of Advanced Computer Science and Applications, 2021
Mohamed A. HAMED   +2 more
openaire   +1 more source

Advances in Se Wide‐Bandgap Photovoltaics and TexSe1‐x SWIR Photodiodes

open access: yesAdvanced Science, EarlyView.
In this review, fundamental properties and current challenges in Se photovoltaics (PVs) for tandem and indoor PVs and TexSe1‐x alloys for short wave infrared photodiodes are discussed. A case is made for the practicality of elemental chalcogenide optoelectronics, and a pathway toward resolving the key challenges in these respective technologies is ...
Adam D. Alfieri, Deep Jariwala
wiley   +1 more source

An energy trade-off management strategy for hybrid ships based on event-triggered model predictive control

open access: yesInternational Journal of Electrical Power & Energy Systems
This paper addresses the energy management problem of hybrid ships by proposing an event-triggered model predictive control (ET-MPC) method. The novelty in this work lies in the establishment of an event-triggered mechanism and a state prediction model ...
Diju Gao, Long Chen, Yide Wang
doaj   +1 more source

Prediction of Fuel Consumption per 100km for Automobile Engine Based on Gaussian Processes Machine Learning

open access: yes, 2010
Gaussian processes (GP) is a machine learning method which has become a power tool for solving highly nonlinear problems. Aiming to the fact that it is still difficult to reasonably determine the fuel consumption per 100km for automobile engine,the model
Xing Xu, Yun Zhao
core   +1 more source

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