Results 101 to 110 of about 94,406 (293)

Brain and Liver Dual‐Targeting Oridonin Nanoparticles to Enhance Aβ Clearance for Alzheimer's Disease Therapy

Advanced Science, EarlyView.
We developed a nanoparticle named OAF, which simultaneously targeted to both the brain and liver via the transferrin receptor 1 (TfR1) receptor, promoting lipoprotein receptor‐related protein 1 (LRP1) expression to enhance amyloid‐beta (Aβ) clearance. In AD mice model, OAF significantly reduced Aβ deposition and cognitive impairment, while a mitigating
Wenshuai Gong, Wenting Hui, Sai Qiao, Qifeng Ji, Miao Liu, Bangle Zhang, Daozhou Liu, Yumei Wu, Siyuan Zhou   +8 more
wiley   +1 more source

A Soft Matrix Microenvironment Promotes Laterally Spreading Tumors via Oxidative Phosphorylation‐Dependent Cell Adhesion

Advanced Science, EarlyView.
Laterally spreading tumors (LSTs) are precancerous colorectal lesions characterized by a flat morphology. This study reveals a mechanochemical pathway through which a soft matrix microenvironment diminishes spatial constraints in intestinal adenomas. This process promotes deficiencies in tight junction proteins, mediated by the mechanoreceptor ADORA2B ...
Jiamin Zhong, Jingyi Lu, Haopeng Li, Jun Zhong, Xiaobei Luo, Yiyi Hu, Xianfei Wang, Pengfei Wang, Yanning Zhang, Zhenjiang Wang, Qiuhua Lai, Zhenyu Chen, Wenting Mi, Wang Tin San‐to, Weize Li, Shuping Tan, Qihong Cheng, Ruijia Li, Yida Nie, Side Liu, Bing Huang, Zelong Han   +21 more
wiley   +1 more source

Integrating Radiomics and Computational Pathology to Predict Early Recurrence of Pancreatic Ductal Adenocarcinoma and Uncover Its Biological Basis in Tumor Microenvironment

Advanced Science, EarlyView.
Accurate prediction of early recurrence in pancreatic ductal adenocarcinoma is vital for optimizing treatment. A novel, integrated radiomics‐pathology machine learning model successfully forecasts recurrence risks by analyzing preoperative CT images and computational pathology.
Sihang Cheng, Fuze Cong, Shenbo Zhang, Rui Lv, Wenjia Zhang, Xinyi Ke, Juncheng Wu, Zhonghe Zhao, Kui Zhao, Di Dong, Ruofan Zhang, Zhengyu Jin, Max Seidensticker, Zhiwei Wang, Huanwen Wu, Xianlin Han, Nan Hong, Huadan Xue   +17 more
wiley   +1 more source

Hybrid vector modulated model predictive control of bidirectional voltage source converter under unbalanced grid voltages

Systems Science & Control Engineering
For the power control problem of a bidirectional voltage-source converter, because only one voltage vector is applied at each control period, the traditional model predictive direct power control strategy brings in high harmonic content. In this paper, a
Zhichao Zhao, Licheng Wang, Jin Xiong, Zahoor Ahmed   +3 more
doaj   +1 more source

Advanced Technologies for Characterizing and Detecting Battery Thermal Failure: A Review

Advanced Science, EarlyView.
Illustration of advanced characterization techniques to predict battery thermal failure. ABSTRACT Energy storage is essential in accelerating the global transition toward clean and sustainable energy across various sectors. Lithium‐ion batteries (LIBs) have become increasingly significant for energy storage due to their high energy density, low ...
Yongxiu Chen, Zeyu Sun, Wei Zong, Yuhang Dai, Kai Ling Ng, Paul R. Shearing   +5 more
wiley   +1 more source

Distributed dynamic grid support using smart PV inverters during unbalanced grid faults

IET Renewable Power Generation, 2019
A dynamic voltage support strategy using smart photovoltaic (PV) inverters during unbalanced grid faults events is proposed. It uses Karush–Kuhn–Tucker condition for finding optimal solutions to calculate the inverter's active and reactive current references. The proposed methodology also takes the X/R ratio into consideration which allows the inverter
Mahfuz A. Shuvra, Badrul Chowdhury
openaire   +1 more source

Nernstian Diagnostics of Imperfect Selectivity in Naphthalene Diimide‐Based Aqueous Organic Redox Flow Battery

Advanced Science, EarlyView.
Non‐ideal redox electrolytes still govern the Nernstian behavior of electrode potentials in aqueous organic redox flow batteries under operation. We utilized this effect to analytically predict two scenarios of battery performance degradation. ABSTRACT Aqueous organic redox flow batteries (AORFBs) enhance the sustainability of battery energy storage ...
Faudillah Alhumairah, Viktor Gueskine, Tobias Abrahamsson, Ivan Hetman, Frida Domeij, Per Leandersson, Xenofon Strakosas, Cedrik Wiberg, Reverant Crispin, Mikhail Vagin   +9 more
wiley   +1 more source

Modeling method of sequence admittance for three-phase voltage source converter under unbalanced grid condition

Journal of Modern Power Systems and Clean Energy, 2018
The admittance is a strong tool for stability analysis and assessment of the three-phase voltage source converters (VSCs) especially in grid-connected mode.
Yang CEN, Meng HUANG, Xiaoming ZHA
doaj   +1 more source

Light‑Driven Propulsion of Graphene Aerogels in Microgravity

Advanced Science, EarlyView.
Ultralight graphene aerogels convert laser light into thrust. Parabolic‐flight experiments directly compare their motion in microgravity and at 1 g, revealing order‐of‐magnitude enhancements in distance, velocity, and transient thrust when weight and friction are removed (∼50 times enhancement).
Omnia Khattab, Rami Elkaffas, Basel Altawil, Omar Alsuwaidi, Afnan Almubashir, Claire Perfetti, Shanavas Shajahan, Marco Braibanti, Sean Swei, Carlo Saverio Iorio, Yarjan Abdul Samad   +10 more
wiley   +1 more source

Overview of three-phase inverter topologies for distributed generation purposes [PDF]

, 2010
The increasing presence of single-phase distributed generators and unbalanced loads in the electric power system may lead to unbalance of the three phase voltages, resulting in increased losses and heating.
De Kooning, Jeroen, Degroote, Lieven, Meersman, Bart, Renders, Bert, Vandevelde, Lieven, Vandoorn, Tine   +5 more
core   +1 more source