Results 191 to 200 of about 17,874 (261)

Single‐Cell Profiling Reveals a Protective WNT5A‐ATF3‐FOSB Signaling Axis in Hair Follicle Stem Cells During Androgenetic Alopecia

Advanced Science, EarlyView.
Androgenetic alopecia (AGA) is a common form of hair loss with limited treatment options. Silencing of WNT5A signaling, which is widely known as the trigger of the ncWNT signaling pathway, happens in hair follicle stem cells from balding areas. It leads to downregulation of ATF3 and its target FOSB.
Ruiyu Luo, Ke Fang, Changjiang Zhao, Jiachao Xiong, Yuan Zhu, Mingyang Lu, He Yan, Zihan Li, Baojin Wu, Hua Jiang, Yufei Li   +10 more
wiley   +1 more source

Construction of virtual whole eye model based on ultra-widefield optical coherence tomography in myopia. [PDF]

NPJ Digit Med
Tang X, Luo N, Chen C, Wu P, Guo W, Shen Y, Jiang J, Fu M, Huo L, Mu J, Liu M, Liu G, Zhang S, Pan X, Chi W.   +14 more
europepmc   +1 more source

Neuromorphic Devices and Computing for Sensing, Memory, and Control

Advanced Science, EarlyView.
This review introduces neuromorphic devices made from diverse materials. These devices mimic neuronal functions and architectures and, when integrated with artificial or biological computing, can form closed loops with neurons for pressure, optical, acoustic, and biochemical sensing and modulation.
Zhengguang Zhu, Nicholas Schaffer, Xiao Yang   +2 more
wiley   +1 more source

Site-Selective B─H Activation via HAT Toward Xanthyl-closo-Carboranes as Bench-Stable Precursors of Organosulfur Boron Clusters. [PDF]

Angew Chem Int Ed Engl
Rusconi M, Magi E, Renzi P, Azzi E, Lagostina V, Salvadori E, Chiesa M, Hischa B, Ghigo G, Deagostino A.   +9 more
europepmc   +1 more source

Fundamental Challenges, Physical Implementations, and Integration Strategies for Ising Machines in Large‐Scale Optimization Tasks

Advanced Electronic Materials, EarlyView.
Ising machines are emerging as specialized hardware solvers for computationally hard optimization problems. This review examines five major platforms—digital CMOS, analog CMOS, emerging devices, coherent optics, and quantum systems—highlighting physics‐rooted advantages and shared bottlenecks in scalability and connectivity.
Hyunjun Lee, Joon Pyo Kim, Sanghyeon Kim
wiley   +1 more source

Advancing Energy Materials by In Situ Atomic Scale Methods

Advanced Energy Materials, Volume 15, Issue 11, March 18, 2025.
Progress in in situ atomic scale methods leads to an improved understanding of new and advanced energy materials, where a local understanding of complex, inhomogeneous systems or interfaces down to the atomic scale and quantum level is required. Topics from photovoltaics, dissipation losses, phase transitions, and chemical energy conversion are ...
Christian Jooss, Michael Seibt, Martin Wenderoth, Oliver Bünermann, Ole Bunjes, Till Domröse, Christian Eckel, Francesca Falorsi, Christoph Flathmann, Monica Kolek Martinez de Azagra, Matthias Krüger, Jonas Lindner, Tobias Meyer, Claus Ropers, Ulrich Ross, Kai Rossnagel, Sreeju Sreekantan Nair Lalithambika, Simone Techert, Georg A. Traeger, Cynthia Volkert, R. Thomas Weitz, Alec M. Wodtke   +21 more
wiley   +1 more source

Emerging Materials and Future Strategies for Solid Oxide Electrochemical Cells

Advanced Energy Materials, EarlyView.
Solid oxide electrochemical cells operate under strongly coupled electrochemical and thermodynamic conditions, where performance is constrained by interactions among crystal structure, defect chemistry, and interfacial evolution. This review, based on a structure‐defect‐property‐durability framework, reveals the roles of lattice symmetry and defect ...
Qiuchun Lu, Yufei Zhang, Han Zhao, Pooi See Lee, Daniel H.C. Chua   +4 more
wiley   +1 more source

Regional amyloid PET asymmetry and long-term clinical trajectory in mild cognitive impairment. [PDF]

Alzheimers Dement (Amst)
Lee Y, Kang S, Kim YS, Kim JS, Kim HJ.
europepmc   +1 more source

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

Advanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park, Saeed Pourasad, Jinhong Mun, Arunkumar Chitteth Rajan, Tae Hyeon Park, Anand Rohit, Mohammad Zafari, Tan‐Lien Pham, Eunjae Jung, Bonseung Koo, Miran Ha, Gi Beom Sim, Hyun Gyu Park, Won Woong Choi, Kwanghyeon Jo, Soohaeng Yoo Willow, David ChangMo Yang, Chang Woo Myung, Geunsik Lee, Kwang S. Kim   +19 more
wiley   +1 more source

A hierarchical approach for finding undiscovered populations of an endangered bumble bee. [PDF]

Sci Rep
Otto CRV, Schrage A, Lothspeich A, Bailey LL, Smith TA, Planman R, Cardin J, Ellis KS, Dennis B, Grundel R.   +9 more
europepmc   +1 more source