Results 211 to 220 of about 17,251,875 (298)

Desert Plant Inspired Hierarchical Nanofibrous Membranes for Integrated Solar Desalination and Heavy Metal Remediation

Advanced Functional Materials, EarlyView.
An Alhagi maurorum inspired hierarchical composite membrane (NFCu) was developed by integrating heavy metal remediation and solar‐driven interfacial evaporation in a single platform. Beyond the photothermal effect, a localized photocatalytic process is realized on the CuO surface, deepening the mechanistic understanding of light–matter–water ...
Yuqiong He, Ronggang Luo, Shengbo Ge, Kaixin Jiang, Kirsten Dyer, Xiaojian Zhou, Ben Bin Xu, Xuehua Zhang, Guanben Du, Kaimeng Xu   +9 more
wiley   +1 more source

Stone composition in patients undergoing surgical treatment for kidney stones: a cross-sectional study at a tertiary hospital in Vietnam. [PDF]

BMC Urol
Nguyen XC, Do AT, Ho HL, Nguyen VH.
europepmc   +1 more source

Accelerated Discovery of Topological Spin Phase Diagrams in CrSBr Magnets Via High‐Throughput Optimization

Advanced Functional Materials, EarlyView.
Here, we develop a high‐throughput algorithm that accelerates the elucidation of phase diagrams of topological spin textures using limited computational resources at high numerical accuracy. Applying this framework to the van der Waals magnet CrSBr, we unveiled a hierarchy of previously unknown topological textures (domain‐wall bimerons, bimeron chains,
Andrew Lyall, Mohammad H. Badarneh, Cristian Bonato, Rebecca Cheung, Elton J. G. Santos   +4 more
wiley   +1 more source

Evolutionary characteristics and implementation effects of China's low-carbon policy system: a quantitative analysis based on policy texts. [PDF]

Carbon Balance Manag
Xuexin L, Lihua J, Xiaoxu K.
europepmc   +1 more source

Nitride MXenes Beyond Carbides: Bridging the Gap Between Computational Prediction and Experimental Realization

Advanced Functional Materials, EarlyView.
Nitride MXenes remain constrained by a persistent gap between computational prediction and experimental realization. This Review identifies the thermodynamic, kinetic, and chemical barriers limiting their synthesis, critically evaluates emerging fabrication routes, and proposes a multidimensional computational‐experimental framework to accelerate the ...
Naresh Varnakavi, Masoud Soroush
wiley   +1 more source

A rare giant large cell neuroendocrine carcinoma: an ITMIG Tumor Board case report from a Turkish multidisciplinary team. [PDF]

Mediastinum
Cangir AK, Sak SD, Güneş G, Çoruh AG, Dursun Ş, Akyürek S, Köksoy EB, Van Raemdonck D, Strange C, Arrossi A, Roden AC, Rajan A, Komaki R, Shepherd A.   +13 more
europepmc   +1 more source

Role of Structural Disorder on Phonon Transport and Thermal Conductivity in Li6PS5Br

Advanced Functional Materials, EarlyView.
Solid electrolytes are fast ion and slow heat conductors. Although both transport properties are governed by lattice dynamics and atomic structure, their interplay remains poorly understood. Here, we study this interrelation in anion‐ordered and disordered Li6PS5Br.
Lukas Ketter, Ryoma Sasaki, Kyra Strotmann, Wolfgang G. Zeier, Yoshitaka Tateyama   +4 more
wiley   +1 more source

Multidimensional‐Encoded High‐Fidelity Spectrometers With a Floating‐Base Bipolar Junction

Advanced Functional Materials, EarlyView.
A floating‐base bipolar junction photodetector enables multidimensional spectral encoding through synergistic gate‐ and drain‐bias modulation of interfacial barrier matching. The resulting complementary spectral responses form a diverse, weakly correlated response matrix, enabling robust and high‐fidelity spectral reconstruction even at sub‐nanoampere ...
Sang‐Hyeon Lee, Junho Min, Yonas Tsegaye Megra, Min‐Hye Jeong, Hwi Je Woo, Jaewon Han, Junheon Ha, Gyunghyun Jang, Young Jae Song, Hyun‐Soo Ra, Hoon Hahn Yoon, Jong‐Soo Lee   +11 more
wiley   +1 more source

Intelligent Orthopedics: Machine Learning in Diagnosis of Bone Disease, Implants, and Bone Health Monitoring

Advanced Healthcare Materials, EarlyView.
Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei, Hesam Mohammadi, Shamim Golafshan, Mojtaba Alehosseini, Mahsa Mohammadzadeh, Atefeh Golshirazi, Nasim Golafshan, Tatiane Eufrásio‐da‐Silva, Alireza Dolatshahi‐Pirouz, Gorka Orive   +9 more
wiley   +1 more source