8 papers · ranked by Valyu relevance
Manuel Treutlein, Pascal Bothe, Marc Schmidt, Roman Hahn + 4 more
The last mile of the distribution grid is crucial for a successful energy transition, as more low-carbon technology like photovoltaic systems, heat pumps, and electric vehicle chargers connect to the low-voltage grid. Despite considerable challenges in operation and planning, researchers often lack access to suitable…
Zichao Jin, Jiaoru Wang, Wenjiang Huang, Jingcheng Zhang + 2 more
Accurate, reliable, large-scale disease predictions are essential to ensure rice production. Existing disease prediction models often face a trade-off between interpretability and predictive capability, necessitating the integration of mechanistic knowledge and data-driven learning within a modelling framework.…
Heng Zhang, Yichong Sun, Xiaoting Zhang, Chi‐Kwan Lee + 4 more
Capsule endoscopes play an essential role in visualizing the gastrointestinal tract and identifying pathological lesions, but existing systems are still largely limited to passive visualization without therapeutic capability. Here, we present a proof-of-concept multifunctional capsule robot (MCR) integrating diagnostic…
Hadeer Kamal, Amira Y. Haikal, Mahmoud M. Saafan
Traffic collisions and congestion represent significant challenges within intelligent transportation systems (ITS). Consequently, a vehicular ad-hoc network (VANET) has been established. Numerous architectures have been incorporated into VANETs to manage the extensive data generated by vehicles. Collaboration with fog…
Yi Wang, Jin Shan, Chenglong Zhang, Zhenhu Jin + 3 more
Neuronal magnetic signal recording intrinsically provides vector information and tissue transparency, offering a potential route to overcome the spatial resolution limitations of conventional electrophysiological recordings. However, in situ detection of neuronal magnetic signals at the cellular level remains highly…
Huihai Wu, Ashleigh Lister, Iain Macaulay, Katie Long + 10 more
Single-cell and spatial transcriptomics are transforming our understanding of cellular heterogeneity and tissue organization, yet their analytical complexity remains a major bottleneck. Here, we present EISCA and EISTA, two standardized, end-to-end pipelines for single-cell RNA- seq and imaging-based spatial…
Julius F. Witte, Artur Lissin, Isabel Schober, Christian Ebeling + 16 more
The vast amount of existing data on microbial strains holds immense potential to revolutionize bioindustry through the application of Artificial Intelligence (AI). However, the training of robust predictive AI models requires large-scale, unified, and non-redundant microbial datasets, which is currently severely…
Amarsinh R. Mainak, Prabhakar A. Chandanwale, Fatemah M. Al-Dousari, Aabid Hamid + 6 more
In recent luminescent materials research, the development of multifunctional aggregation induced enhanced emission (AIEE)-active molecules through simple and efficient synthetic routes has attracted considerable attention. In this study, a new fluorescence-active organic sensor is synthesized via a straightforward…