Results 221 to 230 of about 266,401 (348)

A predictive model for confined and unconfined nucleate boiling heat transfer coefficient

, 2017
I. S. Kiyomura, T. Mogaji, L. Manetti, E. M. Cardoso   +3 more
semanticscholar   +1 more source

Mesoporous Silica Nanoparticles With Customized Drug Ratio/Loading for Effective Treatment of Gemcitabine‐Resistant Pancreatic Tumors

Advanced NanoBiomed Research, EarlyView.
Redox responsive mesoporous silica nanoparticles (MSNs) were engineered to deliver gemcitabine (Gem) and cisplatin (cisPt) at defined ratios to overcome chemoresistance in pancreatic ductal adenocarcinoma (PDAC). Optimized Gem MSNs and Gem cisPt MSNs enhanced cytotoxicity in murine and human Gem resistant models, with select formulations inducing ...
Tamanna Binte Huq, Sudip Kumar Dam, Doaha Awad, Punnya Anil Kumar Jeeja, Farzana Ferdous, Juan L. Vivero‐Escoto   +5 more
wiley   +1 more source

Experimental Study on the Enhancement of Heat Transfer Performance in Sintered‐Core Heat Pipes Using CuO Nanofluid

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT This study presents the design and construction of an experimental system for evaluating the thermal performance of heat pipes, using sintered‐wick heat pipes charged with CuO nanofluids. The device used in this study is a sintered‐wick heat pipe, in which the liquid return is driven by capillary forces within the porous wick structure.
Dawei Yan, Kaiyu Dong, Sisi Yao, Lei Gao, Weijie Sun, Qian Zhou, Zixi Yu, Shuang Wang   +7 more
wiley   +1 more source

A heat transfer model for liquid film boiling on micro-structured surfaces. [PDF]

Natl Sci Rev
Li P, Zou Q, Liu X, Yang R.
europepmc   +1 more source

Vacancy defect‐induced electron homing breaks phosphodiester bonds for RNA depletion‐driven cancer therapy

BMEMat, EarlyView.
Illustration of 5% S‐vacancy Bi2S3 mediated phosphodiester bonds cleavage in RNA of hepatocellular carcinoma cells, which suppressing ERI3 expression, inhibiting cell proliferation and promoting apoptosis. Abstract Genome‐wide hypertranscription is a hallmark of malignant progression.
Chuncheng Yang, Zehao Shen, Guangming Xiang, Zhe Liu, Huaxin Liu, Jiabei Li, Ao Wang, Yelin Wu, Peiran Zhao, Xingwu Jiang, Jinghan Wang, Xiaoqing Jiang, Wenbo Bu   +12 more
wiley   +1 more source

Transfersomes with core and surface‐loaded NF‐κB p65 siRNA for enhanced transdermal transfection and effective treatment of psoriasis

BMEMat, EarlyView.
TCPL, a transfersome with Tween 80 and PEI, enables efficient transdermal siNF‐κB delivery, resolving PEI's toxicity issue. It promotes lysosomal escape and effective transfection, silences NF‐κB, modulates immunity, and inhibits angiogenesis, alleviating psoriasis. With good biocompatibility, TCPL holds strong clinical translation potential. Schematic
Hui Xing, Yuhui Yang, Ziyi Zhao, Kai Lv, Yiran Shao, Zhi Zhang, Dong Ma   +6 more
wiley   +1 more source

High-fidelity model to predict heat transfer enhancement for liquid film boiling on uniform micro-structured wicking surfaces. [PDF]

Natl Sci Rev
Ganesan V, Inanlu MJ, Miljkovic N.
europepmc   +1 more source

Engineering Biochar‐Derived Functional Materials for High‐Performance Supercapacitors: Design Principles, Mechanisms, and Scalable Strategies

Carbon Energy, EarlyView.
ABSTRACT Biochar has emerged as a useful and adaptable source of carbon for supercapacitor electrodes. Its value comes from the way biomass chemistry, thermal conversion, and activation conditions shape the resulting pore network, surface groups, and degree of carbon ordering.
Soumen Mandal, Avinash C. Mendhe, Mayna Roy, Neha S. Barse, Taejoon Park, Han‐Seung Lee, Haigun Lee   +6 more
wiley   +1 more source

Effects of Pressure, Surfactant Concentration, and Heat Flux on Pool Boiling Using Expanding Microchanneled Surface for Two-Phase Immersion Cooling. [PDF]

Materials (Basel)
Hu Y, Fu D, Dang C, Hong S.
europepmc   +1 more source

Machine Learning Paradigm for Advanced Battery Electrolyte Development

Carbon Energy, EarlyView.
Electrolyte materials determine ion transport kinetics within the bulk and interphases, ultimately influencing the performance of battery systems. As data‐driven paradigms increasingly reshape materials discovery, this review provides an application‐oriented exploration of the intersection between machine learning and electrolyte science. By evaluating
Chang Su, Mengfan Pei, Keyu Chen, Xigao Jian, Fangyuan Hu   +4 more
wiley   +1 more source