Results 231 to 240 of about 1,884,621 (299)

Strategies to Design and Optimize Artificial Antigen‐Presenting Cells for T Cell Expansion in Cancer Immunotherapy

Advanced Functional Materials, EarlyView.
This review highlights recent advances in engineering artificial antigen‐presenting cells (aAPCs) as alternatives to dendritic cells for T cell expansion. Key design principles inspired by the immunological synapse are discussed, with emphasis on strategies for polyclonal and antigen‐specific T cell expansion.
Nguyen Thi Nguyen, Yu Seok Youn
wiley   +1 more source

Comparison of abdominal computed tomography to ultrasonography in the diagnosis of biliary disease in dogs with acute abdominal signs. [PDF]

Front Vet Sci
Marroquin SM, Lee AM, Seitz MA, Wills RW, Woodruff KA.   +4 more
europepmc   +1 more source

Intramolecular Down‐ and Up‐Conversion in Dimeric Tetracene Complexes Centered via Platinum(II) and Palladium(II)

Advanced Functional Materials, EarlyView.
Metal‐tetracene dimeric complexes are synthesized through the pyridyl coordination to either Pt(II) or Pd(II). Photophysical properties are systematically compared as a function of the metal using steady‐state and time‐resolved spectroscopy. The Pt(II) dimer exhibits efficient intramolecular singlet fission and subsequent intramolecular up‐conversion ...
Yifan Bo, Yuxuan Hou, Melchor Matabuena, Rik R. Tykwinski, Dirk M. Guldi   +4 more
wiley   +1 more source

Imaging and classifications of atlantoaxial dislocation: a narrative review. [PDF]

EFORT Open Rev
Li G, Zhang H, Wang Q.
europepmc   +1 more source

Compositing Effect Leads to Extraordinary Performance in GeSe‐Based Thermoelectrics

Advanced Functional Materials, EarlyView.
Rhombohedral GeSe is rationally designed with (GeSe)0.9(AgBiTe2)0.1‐1.5 mol.% SnSe, achieving a peak ZT of 1.31 at 623 K. Forming a composite with SnSe establishes interfaces with strong phonon scattering and weak electron scattering. Multiscale defects lead to an ultra‐low lattice thermal conductivity (0.26 W m−1 K−1), approaching the amorphous limit.
Min Zhang, Xiao‐Lei Shi, Siqi Liu, Raza Moshwan, Tianyi Cao, Wenyi Chen, Yongqi Chen, Meng Li, Chenyang Zhang, Nanhai Li, Boxuan Hu, Wanyu Lyu, Wei‐Di Liu, Guihua Tang, Zhi‐Gang Chen   +14 more
wiley   +1 more source

Enhancing Low‐Temperature Performance of Sodium‐Ion Batteries via Anion‐Solvent Interactions

Advanced Functional Materials, EarlyView.
DOL is introduced into electrolytes as a co‐solvent, increasing slat solubility, ion conductivity, and the de‐solvent process, and forming an anion‐rich solvent shell due to its high interaction with anion. With the above virtues, the batteries using this electrolyte exhibit excellent cycling stability at low temperatures. Abstract Sodium‐ion batteries
Cheng Zheng, Qian Yao, Yanan Sun, Hongyu Lv, Zhongchao Bai, Guoliang Zhang, Nana Wang, Jian Yang   +7 more
wiley   +1 more source

Intrapancreatic Gastric Duplication Cysts: A Report of Two Cases and a Systematic Review. [PDF]

Cureus
Sadecka AI, Rzewnicka I.
europepmc   +1 more source

Bacteria‐Derived Extracellular Vesicle as A “Trojan Horse” for Selective M1 Macrophage‐Targeting in A Multi‐Cellular Entanglement Environment

Advanced Functional Materials, EarlyView.
The temporary transition of macrophages from a pro‐inflammatory phenotype of macrophages (M1) to an anti‐inflammatory phenotype of macrophages (M2) is crucial for tissue repair and regeneration processes. Bacterial outer membrane vesicles (OMVs) are utilized as a “trojan horse” for specific M1 macrophage‐targeting and anti‐inflammatory drug delivery ...
Donglin Cai, Zhelun Li, Wendong Gao, Yuqing Mu, Jiaying Liu, Yufeng Zhang, Xiaohan Mei, Jingjing Quan, Lan Xiao, Yin Xiao   +9 more
wiley   +1 more source

Machine Learning‐Enabled Polymer Discovery for Enhanced Pulmonary siRNA Delivery

Advanced Functional Materials, EarlyView.
This study provides an efficient approach to train a machine learning model by merging heterogeneous literature data to predict suitable polymers for siRNA delivery. Without the need for extensive laboratory synthesis, the machine learning enabled a virtual screening and successfully predicted a polymer that is validated for effective gene silencing in
Felix Sieber‐Schäfer, Min Jiang, Adrian Kromer, Anny Nguyen, Müge Molbay, Simone Pinto Carneiro, David Jürgens, Gerald Burgstaller, Bastian Popper, Benjamin Winkeljann, Olivia Monika Merkel   +10 more
wiley   +1 more source