Results 211 to 220 of about 1,035,164 (329)

Multimodal Wearable Biosensing Meets Multidomain AI: A Pathway to Decentralized Healthcare

Advanced Science, EarlyView.
Multimodal biosensing meets multidomain AI. Wearable biosensors capture complementary biochemical and physiological signals, while cross‐device, population‐aware learning aligns noisy, heterogeneous streams. This Review distills key sensing modalities, fusion and calibration strategies, and privacy‐preserving deployment pathways that transform ...
Chenshu Liu, Haolin Fan, Minwoo Kim, Tong Zhou, Pinyi Yang, Lingdi Zhao, Yiran Wang, Ziyuan Che, Chia‐Wei Liu, Bingbing Li, Yangzhi Zhu   +10 more
wiley   +1 more source

Understanding Cardiac Anatomy and Imaging to Improve Safety of Procedures: 12-Lead Electrocardiographic Anatomy. [PDF]

JACC Case Rep
Bradfield EP, Rimmer M, Miyazaki Y, Hanna P, Hayase JH, Do DH, Xu S, Yamagami S, Shivkumar K, Mori S.   +9 more
europepmc   +1 more source

Interplay of Backbone Conformation, Morphology and Thermoelectric Properties of Benzodifuranone‐Isatin Acceptor Polymers

Advanced Electronic Materials, EarlyView.
Modification of polymer backbone via halogenation and comonomer selection leads to conjugated backbones of different stereoelectronic properties, thin film morphologies, and electrical characteristics. The interplay of conformational isomerism, coplanarity, backbone curvature, backbone orientation, and ordering in thin films, electrical conductivity ...
Diego R. Hinojosa, Nathan J. Pataki, Francesca Pallini, Guillaume Freychet, Andreas Erhardt, Kevin Schuller, Selina Olthof, Klaus Meerholz, Christopher R. McNeill, Mario Caironi, Florian Günther, Michael Sommer   +11 more
wiley   +1 more source

Reversible and Controllable Transition Between Filamentary and Interfacial Resistive Switching in HfO2‐Based Memristors

Advanced Electronic Materials, EarlyView.
5 nm HfO2 memristors exhibit a fully reversible, voltage‐controlled transition between filamentary and interfacial switching within the same device. At high voltages, a filament forms and dominates the conduction, whereas at lower voltages the device reversibly returns to interfacial mode without defect accumulation, implying a new reversible ...
Cuo Wu, Hao Shen, Richard Schroedter, Chong Peng, Hampus Hoffman, Stefan Slesazeck, Ronald Tetzlaff, Thomas Mikolajick, Benjamin Max   +8 more
wiley   +1 more source

Fragmentation Patterns of Chlorogenic Acid Homologs in Positive- and Negative-Ion Mode Mass Spectrometry. [PDF]

Mass Spectrom (Tokyo)
Yamamoto A.
europepmc   +1 more source

Nomenclature of monocytes and dendritic cells in blood.

Blood, 2010
L. Ziegler-Heitbrock, P. Ancuța, S. Crowe, M. Dalod, V. Grau, D. Hart, P. Leenen, Yong‐jun Liu, G. Macpherson, G. Randolph, J. Scherberich, J. Schmitz, K. Shortman, S. Sozzani, H. Strobl, M. Zembala, J. Austyn, M. Lutz   +17 more
semanticscholar   +1 more source

A Novel Quantification Method for High Voltage Structural Evolution in Sodium and Lithium Layered Oxides

Advanced Energy Materials, EarlyView.
High‐voltage cycling of layered alkali transition metal oxides in Li‐ and Na‐ion cells increases energy density but diminishes lifetime. A novel XRD‐analysis method, centered on the stacking factor “z”, is developed to quantify the stacking fractions in the OP hybrid structure.
Libin Zhang, J. R. Dahn, Penghao Xiao, Michael Metzger   +3 more
wiley   +1 more source

Renaming Medullary Cystic Kidney Disease: A Review of Semantic Nomenclature. [PDF]

Cureus
Kuang K, Vatsa S, Ramakrishnan R, Shenoy A, Shoja MM, Al-Eyd G.   +5 more
europepmc   +1 more source

Classification of cell death: recommendations of the Nomenclature Committee on Cell Death 2009

Cell Death and Differentiation, 2005
G. Kroemer, L. Galluzzi, P. Vandenabeele, J. Abrams, Es Alnemri, Eh Baehrecke, M. Blagosklonny, WS El-Deiry, P. Golstein, D. Green, M. Hengartner, RA Knight, S. Kumar, SA Lipton, W. Malorni, G. Núñez, ME Peter, J. Tschopp, J. Yuan, M. Piacentini, B. Zhivotovsky, G. Melino   +21 more
semanticscholar   +1 more source

Accelerating the Development of Organic Solar Cells: A Standardized Protocol with Machine Learning Integration

Advanced Energy Materials, EarlyView.
This publication introduces a streamlined method for evaluating new organic solar cell materials, focusing on layer thickness and efficiency optimization—enhanced by machine‐learning‐driven UV–vis spectral deconvolution. It outlines a degradation testing protocol, emphasizing half‐cell vs. full‐cell comparisons and environmental stress factors. Finally,
Jonas Wortmann, Larry Luer, Chao Liu, Jerrit Wagner, Tobias Osterrieder, Simon Arnold, Jens Hauch, Thomas Heumüller, Christoph J. Brabec   +8 more
wiley   +1 more source