Results 111 to 120 of about 64,900 (214)

dynoGP: Deep Gaussian Processes for Dynamic System Identification

International Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli, Marco Forgione, Dario Piga   +2 more
wiley   +1 more source

Neoantigen vaccine and neoantigen-specific cell adoptive transfer therapy in solid tumors: Challenges and future directions. [PDF]

Cancer Innov, 2022
Shen Y, Yu L, Xu X, Yu S, Yu Z.
europepmc   +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source

Adoptive transfer of metabolically reprogrammed macrophages for atherosclerosis treatment in diabetic ApoE ^-/- mice. [PDF]

Bioact Mater, 2022
Wang T, Dong Y, Yao L, Lu F, Wen C, Wan Z, Fan L, Li Z, Bu T, Wei M, Yang X, Zhang Y.   +11 more
europepmc   +1 more source

A Numerical–Experimental Approach for Multi‐Matrix Fiber‐Reinforced Plastics Characterization Using Finite Element Model Updating

Advanced Engineering Materials, EarlyView.
A numerical–experimental framework is developed for characterizing multi‐matrix fiber‐reinforced polymers (MM‐FRPs) combining epoxy and polyurethane matrices. Harmonic bending tests are integrated with finite element model updating (FEMU) to simultaneously identify elastic and viscoelastic material parameters.
Rodrigo M. Dartora, Tales V. Lisbôa, Axel Spickenheuer, Rogério J. Marczak, Jakson M. Vassoler   +4 more
wiley   +1 more source

Intracavitary adoptive transfer of IL-12 mRNA-engineered tumor-specific CD8⁺ T cells eradicates peritoneal metastases in mouse models. [PDF]

Oncoimmunology, 2023
Di Trani CA, Cirella A, Arrizabalaga L, Bella Á, Fernandez-Sendin M, Russo-Cabrera JS, Gomar C, Olivera I, Bolaños E, González-Gomariz J, Álvarez M, Etxeberria I, Palencia B, Teijeira Á, Melero I, Berraondo P, Aranda F.   +16 more
europepmc   +1 more source

Low‐Temperature Imidization of Polyimides (PI) for Scalable Manufacturing of Flexible Wearable Electronics

Advanced Engineering Materials, EarlyView.
Low‐temperature imidization of PEG‐modified polyimide enables fully screen‐printed, roll‐to‐roll fabrication of flexible electrodes on PET substrates, delivering robust mechanical durability and reliable ECG/EMG signal performance for wearable electronics.
Akib Abdullah Khan, Jong‐Hoon Kim
wiley   +1 more source

CXCL9 associates with experimental neuromyelitis optica spectrum disorder following adoptive transfer of Tfh and Th17 cells. [PDF]

Front Immunol
Wang L, Zhou L, Huang W, ZhangBao J, Tan H, Fan Y, Lu C, Yu J, Wang M, Lu J, Zhao C, Wang J, Quan C.   +12 more
europepmc   +1 more source

Leveraging Natural Killer Cell Innate Immunity against Hematologic Malignancies: From Stem Cell Transplant to Adoptive Transfer and Beyond. [PDF]

Int J Mol Sci, 2022
Lin C, Horwitz ME, Rein LAM.
europepmc   +1 more source

Field Report from Collaborative Research Center 1625: Heterogeneous Research Data Management Using Ontology Representations

Advanced Engineering Materials, EarlyView.
A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed, Samuel García Vázquez, Behnam Mardani, Victor Dudarev, Alfred Ludwig, Maribel Acosta, Markus Stricker   +6 more
wiley   +1 more source