Results 61 to 70 of about 69,930 (266)

A Lightweight, 3D‐Printable, Low‐Cost, “One‐Click” Dorsal Skin Window for High‐Quality Long‐Term Multimodal Subcutaneous Tumor Imaging

Advanced Healthcare Materials, EarlyView.
An innovative, lightweight 3D‐printed skinfold chamber system is presented for long‐term intravital imaging. This affordable, biocompatible platform simplifies surgical implantation and allows high‐resolution, multimodal visualization of the tumor microenvironment for up to four weeks.
Iván Cortés Domínguez, Xabier Morales Urteaga, Maider Esparza, Lucía Grande, Ainhoa Urbiola, Cristina Ederra, Tomas Muñoz Santoro, Beatrice Pinci, Alvaro Teijeira, Carlos Ortiz de Solórzano   +9 more
wiley   +1 more source

When Poor Exciton Dissociation Limits Photocurrents in Organic Solar Cells: Why Low Offset Non‐Fullerene Acceptor Blends Can't Be Efficient

Advanced Materials, EarlyView.
The energetic offset between the donor and the acceptor components in organic photoactive layers is central to the tradeoff between photovoltage and photocurrent losses. This Perspective covers the most important issues surrounding this topic in non‐fullerene acceptor blends, from the difficulty of accurately determining state energies and driving ...
Dieter Neher, Manasi Pranav
wiley   +1 more source

Dynamic Evolution and Relation Perception for Temporal Knowledge Graph Reasoning

Future Internet
Temporal knowledge graphs (TKGs) incorporate temporal information into traditional triplets, enhancing the dynamic representation of real-world events.
Yuan Huang, Pengwei Shi, Xiaozheng Zhou, Ruizhi Yin   +3 more
doaj   +1 more source

Resolving Heterogeneity of Targeted Lipid Nanoparticles Through Solution‐Based Biophysical Analyses

Advanced Materials, EarlyView.
AF4‐UV‐DLS‐MALS‐SAXS resolves previously inaccessible targeted lipid nanoparticle (tLNP) subpopulations that differ in size, shape, and composition. Correlation of subpopulation‐resolved biophysical properties with in vivo RNA delivery reveals that targeted placental transfection is associated with distinct tLNP subpopulations rather than ensemble ...
Hannah C. Geisler, Hannah C. Safford, Ajay S. Thatte, Marshall S. Padilla, Elisa Battistini, Hannah M. Yamagata, Violet M. Ullman, Alex Chan, Benjamin E. Nachod, Anushka Agrawal, Maxwell B. Watkins, Jesse B. Hopkins, Andrew Tsourkas, Kushol Gupta, Michael J. Mitchell   +14 more
wiley   +1 more source

Context-Aware Knowledge Graph Learning for Point-of-Interest Recommendation

ISPRS International Journal of Geo-Information
Existing point-of-interest (POI) recommendation methods often fail to capture complex contextual dependencies and suffer from severe data sparsity in location-based social networks (LBSNs).
Yan Zhou, Di Zhang, Kaixuan Zhou, Pengcheng Han   +3 more
doaj   +1 more source

Optoelectronic Nanofluidic Neural Networks for Ionic Computing

Advanced Materials, EarlyView.
An ion‐based optoelectronic nanofluidic memristor enables neuromorphic computing in aqueous environments. With tunable ionic memory and multimodal synaptic plasticity, it realizes densely connected ionic neural networks capable of image classification, motion prediction, logic computation, and real‐time in‐sensor computing, advancing fully connected ...
Yaxin Huang, Zhiyuan Du, Changjin Wu, Binglin Zeng, Yingnan Cao, Mingliang Li, Liren Zhang, Qingxin Guo, Chao Huang, Can Li, Jinyao Tang   +10 more
wiley   +1 more source

A Temporal Knowledge Graph Embedding Model Based on Variable Translation

Tsinghua Science and Technology
Knowledge representation learning (KRL) aims to encode entities and relationships in various knowledge graphs into low-dimensional continuous vectors. It is popularly used in knowledge graph completion (or link prediction) tasks.
Yadan Han, Guangquan Lu, Shichao Zhang, Liang Zhang, Cuifang Zou, Guoqiu Wen   +5 more
doaj   +1 more source

Stimuli‐Responsive Hierarchical Structuring Controls Survival and Programs Hydrogelation of Supramolecular Metallofibers

Advanced Materials, EarlyView.
Aqueous Zn(II) Salphen metallofibers decorated with PNIPAM undergo reversible, multi‐stimuli‐responsive hierarchical bundling. This higher‐order structuring kinetically stabilizes the otherwise fragile assemblies against dilution, acidic hydrolysis, and transmetallation, enables selective sorting of responsive fibers, and programs hydrogelation at ...
Merlin R. Stühler, László Mérai, Kai Ludwig, Rainer Haag, Quinn A. Besford, Alex J. Plajer   +5 more
wiley   +1 more source

Wheat Agronomic Knowledge Extraction and Spatio-Temporal Knowledge Graph Construction

Applied Sciences
Scientific and accurate agronomic knowledge is key to ensuring efficient wheat production. China’s vast agricultural land spans a wide range of longitudes and latitudes, and agronomic practices are closely tied to temporal factors such as wheat growth ...
Wang Guo, Chunjiang Zhao
doaj   +1 more source

Integrate Temporal Graph Learning into LLM-based Temporal Knowledge Graph Model

emporal Knowledge Graph Forecasting (TKGF) aims to predict future events based on the observed events in history. Recently, Large Language Models (LLMs) have exhibited remarkable capabilities, generating significant research interest in their application for reasoning over temporal knowledge graphs (TKGs).
He Chang, Jie Wu, Zhulin Tao, Yunshan Ma 0002, Xianglin Huang, Tat-Seng Chua   +5 more
openaire   +2 more sources