Results 191 to 200 of about 103,396 (288)

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

Collective field theory, Calogero-Sutherland model and generalized matrix models [PDF]

, 1995
Hidetoshi Awata, Yutaka Matsuo, Satoru Odake, Junji Shiraishi   +3 more
openalex   +1 more source

Tailoring Microstructure in Copper‐Based Conductive Metal–Organic Frameworks for Enhanced Chemiresistive Sensing and Uptake of Sulfur Dioxide

Advanced Functional Materials, EarlyView.
Precursor‐ and solvent‐mediated synthesis yields four Cu3(HHTP)2 morphologies with distinct physicochemical, sorption, and sensing properties toward SO2. Uptake capacities correlate with BET surface area, while sensing performance scales with particle aspect ratio.
Patrick Damacet, Zhuoran Zhong, Elí Sánchez‐González, Camille L. Slagle, Ilich A. Ibarra, Katherine A. Mirica   +5 more
wiley   +1 more source

Unraveling the Mg Loss Mechanism and Degradation Kinetics in Thermoelectric n‐Type Mg2Si‐Mg2Sn Solid Solutions

Advanced Functional Materials, EarlyView.
Mg‐based thermoelectrics are among the most promising candidates for power generation applications but their performance is compromised by Mg loss at device operation temperatures due to the higher chemical potential of Mg (μMg${\mu}_{\mathrm{Mg}}$) inside the material compared to the environment.
Aryan Sankhla, Eckhard Mueller, Johannes de Boor   +2 more
wiley   +1 more source

Investigating The Effect Of Testlets Consisting Of Open-Ended And Multiple-Choice Items On Reliability Via Generalizability Theory

Serpil Kocaoğlu, Melek Gülşah Şahin
openalex   +2 more sources

Artificial intelligent Global Online Learning (GOL) theory by generalized n-ary fuzzy relation [PDF]

Abbas Amini, Narjes Firouzkouhi, Marziyeh Nazari, Nader Ghareeb, Chun Cheng, Bijan Davvaz   +5 more
openalex   +1 more source

Adaptive 4D‐Printed Vascular Stents With Low‐Temperature‐Activated and Intelligent Deployment

Advanced Functional Materials, EarlyView.
Microarchitected coronary artery stents were fabricated using a polycaprolactone (PCL)‐based shape memory polymer (SMP) composite via projection micro‐stereolithography (PµSL) 4D printing. By incorporating diethyl phthalate (DEP) as a plasticizer, the thermal transition temperature (Ttran) was modulated to about 37°C, enabling rapid and autonomous ...
Yannan Li, Yifan Pan, Chikahiro Imashiro, Chaolun Xu, Jianxian He, Jingao Xu, Kewei Song, Ze Zhang, Chen Gao, Junbo Jiang, Runhuai Yang, Kayo Hirose, Shinjiro Umezu   +12 more
wiley   +1 more source

A sequential theory of some semigroups in special spaces of generalized functions

, 1979
Endre Pap, Stevan Pilipović
openalex   +1 more source

Role of Histidine‐Containing Peptoids in Accelerating the Kinetics of Calcite Growth

Advanced Functional Materials, EarlyView.
Amphiphilic histidine‐containing peptoids mimic carbonic anhydrase (CA) to accelerate calcite step growth. In the presence of Zn2+, they promote the deprotonation of HCO3−, the desolvation of Ca2+, and the reorganization of interfacial hydration layers, thereby reducing the activation barrier for calcite growth.
Mingyi Zhang, Ying Chen, Chenyang Shi, Progyateg Chakma, James J. De Yoreo, Chun‐Long Chen   +5 more
wiley   +1 more source

Unification of Energy Concepts in Generalized Phase Space Theories [PDF]

Libo Jiang, Daniel R. Terno, Oscar Dahlsten   +2 more
openalex   +1 more source