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Deep Learning-Based Multi-View Projection Synthesis Approach for Improving the Quality of Sparse-View CBCT in Image-Guided Radiotherapy.
J Imaging Inform Med
January 2025
School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China.
While radiation hazards induced by cone-beam computed tomography (CBCT) in image-guided radiotherapy (IGRT) can be reduced by sparse-view sampling, the image quality is inevitably degraded. We propose a deep learning-based multi-view projection synthesis (DLMPS) approach to improve the quality of sparse-view low-dose CBCT images. In the proposed DLMPS approach, linear interpolation was first applied to sparse-view projections and the projections were rearranged into sinograms; these sinograms were processed with a sinogram restoration model and then rearranged back into projections.
View Article and Find Full Text PDFEcosystem water use efficiency and carbon use efficiency respond oppositely to vegetation greening in China's Loess Plateau.
Sci Total Environ
January 2025
State Key Laboratory for Ecological Security of Regions and Cities, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; University of Chinese Academy of Sciences, Beijing 100049, China; Shaanxi Yan'an Forest Ecosystem Observation and Research Station, Beijing 100085, China; National Observation and Research Station of Earth Critical Zone on the Loess Plateau in Shaanxi, Xi'an 710061, China.
Ecosystem water use efficiency (WUE) and carbon use efficiency (CUE) are critical parameters to determine the trade-off between water consumption and carbon sequestration in drylands. However, the roles of vegetation cover, climate factors and soil moisture in affecting the coupling of WUE and CUE were still poorly understood. This study combined the spatial random forest model and structural equation model to detect the drivers of WUE and CUE variations in China's Loess Plateau during 2001-2020, a typical water-limited region with about 87 % of area experiencing significant vegetation greening.
View Article and Find Full Text PDFLipid-Rapamycin Nanovaccines Overcome the Antidrug Antibody Barrier in Biologic Therapies.
ACS Nano
January 2025
Wuya Faculty of Innovation, Shenyang Pharmaceutical University, Shenyang 110016, China.
Antidrug antibodies (ADAs) against biologics present a major challenge for sustained biotherapy, including enzyme replacement therapies and adeno-associated virus (AAV) gene therapies. These antibodies arise from undesirable immune responses, leading to altered pharmacokinetics, reduced efficacy, and adverse reactions. In this study, we introduced a rationally designed lipid-rapamycin (Rapa)-based nanovaccine to restore immune tolerance to biologics and overcome drug resistance.
View Article and Find Full Text PDFOrienting Gaze Toward a Visual Target: Neurophysiological Synthesis with Epistemological Considerations.
Vision (Basel)
January 2025
Centre Gilles Gaston Granger, UMR 7304 Centre National de la Recherche Scientifique, Aix Marseille Université, 13621 Aix-en-Provence, France.
The appearance of an object triggers an orienting gaze movement toward its location. The movement consists of a rapid rotation of the eyes, the saccade, which is accompanied by a head rotation if the target eccentricity exceeds the oculomotor range and by a slow eye movement if the target moves. Completing a previous report, we explain the numerous points that lead to questioning the validity of a one-to-one correspondence relation between measured physical values of gaze or head orientation and neuronal activity.
View Article and Find Full Text PDFGene Regulatory Networks (GRNs) are pivotal in governing diverse cellular processes, such as stress response, DNA repair, and mechanisms associated with complex diseases like cancer. The interventions in GRNs aim to restore the system state to its normal condition by altering gene activities over time. Unlike most intervention approaches that rely on the direct observability of the system state and assume no response of the cell against intervention, this paper models the fight between intervention and cell dynamic response using a partially observed zero-sum Markov game with binary state variables.
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