Results 111 to 120 of about 388,640 (259)

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

Synthetic Nanobiology Actuated Lipometabolic Cell Factory for Autologous Tumor Immunotherapy

Advanced Functional Materials, EarlyView.
FA plays a crucial role in the interaction between tumor cells and the tumor microenvironment, especially for the immune response. A biocatalytic immunoenhancement strategy is developed to boost antitumor immunity by FA metabolic orientation to ceramide. Through the design of this delicate catalytic immunoenhancement strategy, the synthetic nanobiology
Shoujie Zhao, Yejing Zhu, Hengchao Yu, Jun Zhu, Bo Wang, Yu Qiao, Zhimin Tian, Junlong Zhao, Lei Liu   +8 more
wiley   +1 more source

Germanane Quantum Dots Promote Metabolic Reprogramming of Immune Cells Toward Regulatory T Cells and Suppress Inflammation In Vitro and In Vivo

Advanced Functional Materials, EarlyView.
Metabolic changes in immune cells direct the phenotype and function of the host immune system. Smart nanomaterials must target metabolic pathways to direct immune cell fate. This study reports the fabrication and first application of germanane quantum dots (GeHQDs) to modulate inflammation in vitro and in vivo.
Abhay Srivastava, Alireza Rafieerad, Weiang Yan, Keshav Narayan Alagarsamy, Qingdong Guan, Leena Regi Saleth, Michel Aliani, Sanjiv Dhingra   +7 more
wiley   +1 more source

Concurrent Access Performance Comparison Between Relational Databases and Graph NoSQL Databases for Complex Algorithms

Applied Sciences
Databases are a fundamental element of contemporary software applications. The most widely used and recognized type in practice is the relational database, valued for its ability to store and organize data in tabular structures, its emphasis on data ...
Elena Lupu, Adriana Olteanu, Anca Daniela Ionita   +2 more
doaj   +1 more source

Predicting Atomic Charges in MOFs by Topological Charge Equilibration

Advanced Functional Materials, EarlyView.
An atomic charge prediction method is presented that is able to accurately reproduce ab‐initio‐derived reference charges for a large number of metal–organic frameworks. Based on a topological charge equilibration scheme, static charges that fulfill overall neutrality are quickly generated.
Babak Farhadi Jahromi, Sumukh Shankar Sharadaprasad, Rochus Schmid   +2 more
wiley   +1 more source

Infrared Nanocrystals for Space Application: Hardness to Irradiations

Advanced Functional Materials, EarlyView.
This article investigates infrared HgTe nanocrystals under X‐ray and ion irradiation, revealing remarkable radiation hardness. It uncovers distinct degradation mechanisms and shows that the nanomaterial outperforms integrated electronics. The results position colloidal nanocrystals as promising candidates for resilient space and harsh‐environment ...
Alexandre Neyret, Dario Mastrippolito, Bingbing Xia, Adrien Khalili, Maxime Lebreton, Giorgia Strobbia, Albin Colle, Marco Paye, Mariarosa Cavallo, Erwan Bossavit, Claire Abadie, Yoann Prado, Debora Pierucci, Victor Parahyba, Francois Coursaget, David Darson, Emrick Briand, Ian Vickridge, Stephane Demiguel, Sebastien Massenot, Jean‐Marc Belloir, Vincent Goiffon, Emmanuel Lhuillier   +22 more
wiley   +1 more source

Review of the Application of Graph Database and Graph Computing in Power System Dispatch and Operation

Zhongguo dianli
As the widespread integration of new energy and interconnection of large power grids, the operation modes of power systems are undergoing transformations, which leads to a fast surge in data volumes and higher demands for real-time information processing,
Pei ZHANG, Majing YANG, Fang ZHANG, Hua XIE, Guangyi LIU, Wenyun LI, Xuegang LU, Zhenyi WANG, Suwei ZHAI   +8 more
doaj   +1 more source

Drug‐Free Thrombolysis Mediated by Physically Activated Micro/Nanoparticles

Advanced Functional Materials, EarlyView.
Overview of particle‐mediated thrombolytic effects (thermal, mechanical, and chemical) and their activating physical stimuli (light, ultrasound, and magnetic field) in drug‐free thrombolysis. ABSTRACT Thrombus‐associated disorders rank among the world's leading causes of death, with ischemic heart disease and stroke as the main contributors.
Pierre Sarfati, Yoann Lalatonne, Cédric Chauvierre   +2 more
wiley   +1 more source

Artificial Intelligence as the Next Visionary in Liquid Crystal Research

Advanced Functional Materials, EarlyView.
The functions of AI in the research laboratory are becoming increasingly sophisticated, allowing the entire process of hypothesis formulation, material design, synthesis, experimental design, and reiterative testing to be automated. In our work, we conceive how the incorporation of AI in the laboratory environment will transform the role and ...
Mert O. Astam, Ouassim L'Karkouri, Danqing Liu   +2 more
wiley   +1 more source

Amyloidogenic Peptide Fragments Designed From Bacterial Collagen‐like Proteins Form Hydrogel

Advanced Functional Materials, EarlyView.
This study identified amyloidogenic sequence motifs in bacterial collagen‐like proteins and exploited these to design peptides that self‐assemble into β‐sheet fibers and form hydrogels. One hydrogel supported healthy fibroblast growth, showing promise for biocompatible materials. Our work demonstrates that bacterial sequences can be harnessed to create
Vamika Sagar, Xuen J Ng, Lukas Lechel, Ashish Chand Rajwar, Hendrik Bargel, Abhishek A. Jalan   +5 more
wiley   +1 more source