Results 241 to 250 of about 299,453 (315)

Nanozyme Microrobots: Programmable Spatiotemporal Catalysis for Targeted Therapy and Diagnostics

Advanced Science, EarlyView.
This review presents nanozyme microrobots as emerging catalytic systems that integrate mobility, external actuation, and adaptive reactivity to achieve precise biochemical functions. By examining mobility‐regulated catalysis, spatial targeting, integrated designs, and translational demonstrations, the article highlights how nanozyme robotics enables ...
Hong Huy Tran, Nil Kanatha Pandey, David P. Cormode, Daeyeon Lee, Edward Steager, Hyun Koo   +5 more
wiley   +1 more source

Electrochemical Nitrate Reduction Reaction to Ammonia at Industrial‐Level Current Densities

Advanced Science, EarlyView.
This review starts from the mechanism and theoretical basis of electrochemical nitrate reduction reaction (NO3−RR), and systematically summarizes and discusses the design strategies of industrial‐level current density catalysts. In addition, the progress of industrial‐level NO3−RR‐based electrolyzers, including flow reactor and membrane electrode ...
Zhijie Cui, Honghai Wang, Chunli Li, Wenchao Peng, Jiapeng Liu   +4 more
wiley   +1 more source

Comparison of diffusion MRI methods in the study of structural reorganization of the brain in the early post-stroke period

Yu. A. Stankevich, I.S. Karabanov, V.V. Popov, O. B. Bogomyakova, А. А. Тулупов   +4 more
openalex   +2 more sources

Stability of Perovskite Indoor Photovoltaics: A Focused Review and a Call for Standardized Stability Reporting

Advanced Energy Materials, EarlyView.
While perovskite solar cells have been widely studied, including their stability, perovskite indoor photovoltaics (IPVs) have only recently emerged. Nevertheless, more studies are appearing in the literature. The systematic stability study of IPVs is crucial, particularly given the inconsistencies in reported methodologies and results, which call for ...
Ivy Mawusi Asuo, Arezo Mahdavi Varposhti, Cyril Chu Fubin Kumachang, Gopal Krishnamurthy Grandhi, Vincenzo Pecunia, Thomas Meredith Brown, Paola Vivo, Nutifafa Yao Doumon   +7 more
wiley   +1 more source

Mapping the microstructure of human cerebral cortex in vivo with diffusion MRI. [PDF]

Commun Biol
Sadikov A, Choi HL, Xiao J, Cai LT, Mukherjee P.   +4 more
europepmc   +1 more source

Combination of Ethoxybenzyl‐Diethylenetriamine Pentaacetic Acid‐Enhanced Magnetic Resonance Imaging and a Serum Biomarker Is Useful in the Diagnosis of Hepatic Sinusoidal Disorder After Chemotherapy Treatment

Annals of Gastroenterological Surgery, EarlyView.
ROC analyses of APRI score, EOB‐MRI, and a combination of EOB‐MRI and APRI score for blue liver. ABSTRACT Aim Sinusoidal obstruction syndrome (SOS), also known as “blue liver (BL),” is a common hepatic injury following oxaliplatin‐based chemotherapy in patients with colorectal liver metastases (CRLM).
Tomonari Shimagaki, Keishi Sugimachi, Takahiro Tomino, Takeshi Kurihara, Emi Onishi, Yutaro Shimomura, Kenji Shinozaki, Masaru Morita   +7 more
wiley   +1 more source

Engineering clinical translation of OGSE diffusion MRI. [PDF]

Magn Reson Med
Zhu A, Michael ES, Li H, Sprenger T, Hua Y, Lee SK, Yeo DTB, McNab JA, Hennel F, Fieremans E, Wu D, Foo TKF, Novikov DS.   +12 more
europepmc   +1 more source

Multi-compartment modelling of diffusion MRI signal shows TE-based volume fraction bias

, 2020
Matteo Frigo, Mauro Zucchelli, Rutger Fick, Samuel Deslauriers‐Gauthier, Rachid Deriche   +4 more
openalex   +1 more source

Influence of co-registration on lesion characterization in diffusion-weighted breast MRI [PDF]

Luise Brock, Andrzej Liebert, Hannes Schreiter, Dominika Skwierawska, Chris Ehring, Jessica Eberle, Shirin Heidarikahkesh, Frederik B. Laun, Michael Uder, Lorenz A. Kapsner, Judith Lach, Evelyn Wenkel, Sabine Ohlmeyer, Dominique Hadler, Florian Knoll, Sebastian Bickelhaupt   +15 more
openalex   +1 more source

Which Method Best Predicts Postoperative Complications: Deep Learning, Machine Learning, or Conventional Logistic Regression?

Annals of Gastroenterological Surgery, EarlyView.
Deep learning has shown promise in predicting postoperative complications, particularly when using image or time‐series data. However, on tabular clinical data such as the NCD, it often underperforms compared to conventional machine learning. Integrating multimodal data may enhance predictive accuracy and interpretability in surgical care.
Ryosuke Fukuyo, Masanori Tokunaga, Hiroyuki Yamamoto, Hideki Ueno, Yusuke Kinugasa   +4 more
wiley   +1 more source