BACKGROUND: Rapid urbanization in China, while boosting socioeconomic development, has triggered "radical urbanization" characterized by land expansion outpacing population growth and economic activity. This spatial mismatch manifests as high buildin... read more
The construction industry is facing increasing pressure to reduce the CO2 emissions from conventional cement manufacturing. Geopolymer concrete, utilizing fly ash (FA) and silica fume (SF) as precursors, presents a promising sustainable alternative. ... read more
Achieving an ideal balance between style fidelity and content preservation remains a critical challenge in style transfer. In this work, we present UltraStyle, a new framework that reconciles these two objectives through a reformulation of the learni... read more
Proceedings of the National Academy of Sciences of the United States of America
Apr 3, 2026
We show how to adjust the parameters of a thermodynamic computer by gradient descent in order to perform a desired computation at a specified observation time. Within a digital simulation of a thermodynamic computer, training proceeds by maximizing t... read more
Distributed ledger technology (DLT) has emerged as a transformative solution across industries, offering decentralization, transparency, and security. Among DLT architectures, IOTA's Tangle stands out as a scalable, feeless framework well-suited for ... read more
The global transition to renewable energy resources has driven the need for potent international practice attention on optimized Photovoltaic (PV) system performance, particularly increased PV cell efficiency. Due to environmental conditions and manu... read more
De-noising convolutional neural networks (DnCNNs), are a powerful nonlinear mapping models in image processing for impulse noise removal. During training and validation, a set of 12 standard testing images is used to evaluate model performance. DnCNN... read more
Deep learning models have been widely applied to chest X-ray (CXR) disease classification and diagnosis; however, challenges such as data scarcity and shortcut learning often lead to biased model behavior. This study addresses fairness-related concer... read more
The rapid surge in the number of simultaneously recorded neurons demands reliable tools to explore the latent geometry of high-dimensional neural spaces. Within such spaces, neuronal activity typically lies on a subspace or manifold characterized by ... read more
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