As an extension of actinide-rotaxane complexes from uranium to transuranium, we report the first crystal structure of a neptunium-rotaxane complex, NRCP-1, in which an interwoven neptunium(v)-rotaxane coordination network incorporating a mechanically-interlocked [c2]daisy chain unit is promoted via the simultaneous coordination of cucurbituril (CB6) and axle molecules in [2]pseudorotaxane to Np.
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http://dx.doi.org/10.1039/c8cc05122d | DOI Listing |
J Vis Exp
December 2024
Department of Biomedical Engineering, Columbia University;
Vascular organoids derived from human induced pluripotent stem cells (hiPSCs) recapitulate the cell type diversity and complex architecture of human vascular networks. This three-dimensional (3D) model holds substantial potential for vascular pathology modeling and in vitro drug screening. Despite recent advances, a key technical challenge remains in reproducibly generating organoids with consistent quality, which is crucial for downstream assays and applications.
View Article and Find Full Text PDFFront Robot AI
December 2024
Intelligent Robotics Group, Electrical Engineering and Automation Department, Aalto University, Helsinki, Finland.
This work considers the problem of learning cooperative policies in multi-agent settings with partially observable and non-stationary environments without a communication channel. We focus on improving information sharing between agents and propose a new multi-agent actor-critic method called (MACRPO). We propose two novel ways of integrating information across agents and time in MACRPO: First, we use a recurrent layer in the critic's network architecture and propose a new framework to use the proposed meta-trajectory to train the recurrent layer.
View Article and Find Full Text PDFCureus
December 2024
General Practice, Eradah And Mental Health Complex, Taif, SAU.
Background: Blood donation plays a critical role in public health, yet long-term donors (donating at least twice per year, for at least three years) often face challenges related to psychological adjustment and quality of life. Digital health tools could offer innovative solutions to address these issues by providing personalized support, tracking, and mental health interventions.
Aim: This study investigates the impact of digital health tools on the quality of life (QoL) and psychological adjustment of long-term blood donors in Saudi Arabia, with attention to demographic factors influencing engagement and perceptions.
Front Comput Neurosci
December 2024
Sussex AI, School of Engineering and Informatics, University of Sussex, Brighton, United Kingdom.
We present a Spiking Neural Network (SNN) model that incorporates learnable synaptic delays through two approaches: per-synapse delay learning via Dilated Convolutions with Learnable Spacings (DCLS) and a dynamic pruning strategy that also serves as a form of delay learning. In the latter approach, the network dynamically selects and prunes connections, optimizing the delays in sparse connectivity settings. We evaluate both approaches on the Raw Heidelberg Digits keyword spotting benchmark using Backpropagation Through Time with surrogate gradients.
View Article and Find Full Text PDFFront Artif Intell
December 2024
Decision Support Systems Laboratory, School of Electrical and Computer Engineering, National Technical University of Athens, Athens, Greece.
Social media platforms, including X, Facebook, and Instagram, host millions of daily users, giving rise to bots automated programs disseminating misinformation and ideologies with tangible real-world consequences. While bot detection in platform X has been the area of many deep learning models with adequate results, most approaches neglect the graph structure of social media relationships and often rely on hand-engineered architectures. Our work introduces the implementation of a Neural Architecture Search (NAS) technique, namely Deep and Flexible Graph Neural Architecture Search (DFG-NAS), tailored to Relational Graph Convolutional Neural Networks (RGCNs) in the task of bot detection in platform X.
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