Results 201 to 210 of about 110,828 (307)

A Novel Approach Based on Acceptor–Donor–Acceptor Type Molecules Enhances the Therapeutic Efficacy and Safety of Photothermal Therapy for Osteosarcoma

Advanced Science, EarlyView.
Jin et al. developed IEICO‐F nanoparticles with enhanced photothermal conversion efficiency via optimized push‐pull effect. Under 808 nm laser, these nanoparticles effectively generated heat to kill osteosarcoma cells and exhibited significant tumor suppression in vivo. Therefore, this novel A‐D‐A type molecule‐based photothermal therapy strategy holds
Zhijian Jin, Hongru Wang, Yi Yang, Yuhang Xie, Yuan Zhang, Zhiye Du, Yi Huang, Wei Guo, Yang Li, Shidong Wang   +9 more
wiley   +1 more source

Developing Gaussian process regression, Lasso regression, and Nu-support vector regression models for predicting solubility of exemestane in supercritical CO₂. [PDF]

Sci Rep
Almutairi JA, Malik T.
europepmc   +1 more source

Validating the Use of Gaussian Process Regression for Adaptive Mapping of Residual Stress Fields. [PDF]

Materials (Basel), 2023
Fancher CM, Venkatakrishnan S, Feldhausen T, Saleeby K, Plotkowski A.   +4 more
europepmc   +1 more source

Temperature‐Driven Emission Redistribution of Yb2+ in SrB4O7 Enables Highly Sensitive Optical Thermometry Supported by Multiple Linear Regression

Advanced Science, EarlyView.
A novel optical thermometer exploits the rare UV emission of Yb2+ ions in a SrB4O7 host, enabling highly sensitive, non‐contact temperature measurements from 80 to 420 K. The applied multiple linear regression (MLR) analysis results in a multiple increase in the resulting temperature sensitivity.
Fang Zhao, Teng Zheng, Przemysław Woźny, Miguel A. Hernández‐Rodríguez, Shiqing Xu, Inocencio R. Martín, Marcin Runowski   +6 more
wiley   +1 more source

Integrated use of finite element analysis and gaussian process regression in the structural analysis of AISI 316 stainless steel chimney systems. [PDF]

Sci Rep
Tanriver K, Etyemez A, Ay M.
europepmc   +1 more source

A novel correlation Gaussian process regression-based extreme learning machine. [PDF]

Knowl Inf Syst, 2023
Ye X, He Y, Zhang M, Fournier-Viger P, Huang JZ.   +4 more
europepmc   +1 more source

Tunable Dynamics via Dual‐Ion Modulation for Event‐based Data Processing Using a Highly Uniform and Self‐Rectifying Memristor Array

Advanced Science, EarlyView.
Tunable dynamics of an interface‐type memristor array enabled by dual‐ion modulation through Ag nanoclusters are demonstrated. A 32 × 32 one‐resistor (1R) array exhibits 100% yield with high temporal/spatial uniformity (<3%) and a rectification ratio of 105.
Yoonho Cho, Dawon Kim, Jeonghong Lee, Dae‐won Kim, See‐On Park, Jongmin Bae, Taehwan Jang, Shinhyun Choi   +7 more
wiley   +1 more source

Evaluation of Matrix Effects in SIMS Using Gaussian Process Regression: The Case of Olivine Mg Isotope Microanalysis. [PDF]

Rapid Commun Mass Spectrom
Itano K, Fukuda K, Kita NT, Ueki K, Kuwatani T, Akaho S.   +5 more
europepmc   +1 more source

Gaussian Process Regression Models for Predicting Atomic Energies and Multipole Moments. [PDF]

J Chem Theory Comput, 2023
Burn MJ, Popelier PLA.
europepmc   +1 more source

Dipole‐Manipulated Built‐In Electric Field Enables Ultrafast Charge Separation in Perylene Diimide Polymers for Photoelectrochemical Water Splitting

Advanced Science, EarlyView.
Molecular dipole engineering in dendritic perylene diimide polymers through nitrogen‐rich heterocyclic linkers amplifies the built‐in electric field, enabling sub‐picosecond charge separation and efficient multi‐electron accumulation. This structure–dynamics–performance relationship establishes a versatile design strategy for high‐performance organic ...
Ying‐Xin Qiao, Zicong Situ, Yi‐Jing Chen, Shuo‐Xiang Liu, Jing‐Lan Zhang, Xingqing Li, Luo‐Han Xie, Si‐Hang Xie, Qing‐Xiao Tong, Andong Xia, Zhuoran Kuang, Jing‐Xin Jian   +11 more
wiley   +1 more source