Spatial problems of estimating multiplier effects in the local scale
Academic studies of local multiplier effects generated by industries or large en- terprises seem to be a ‘rara avis’ of contemporary research. This scarcity stems from a different research procedure implemented on a local scale. The lack of primary data necessary to conduct classical input-output analysis for the local level (Polish municipalities and ...
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Neural Fields for Highly Accelerated 2D Cine Phase Contrast MRI
ABSTRACT 2D cine phase contrast (CPC) MRI provides quantitative information on blood velocity and flow within the human vasculature. However, data acquisition is time‐consuming, motivating the reconstruction of the velocity field from undersampled measurements to reduce scan times. In this work, neural fields are proposed as a continuous spatiotemporal
Pablo Arratia +7 more
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Differentiated carbon reduction effects of clean heating policies: evidence from pilot projects in Northern China. [PDF]
Ji H, Yang H, Lu J.
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A programmable 2048‐element circular ultrasound array combined with a compact acoustic lens produces a thin “sound sheet” over a large field of view, and records echoes with wide angular diversity across the ring aperture. Coherence‐enhanced beamforming converts full‐matrix data into high‐contrast tomographic slices, delivering near‐diffraction‐limited
Qiu‐De Zhang +11 more
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Design of low power and high speed approximate multipliers utilizing current mode 4 to 2 compressors based on CNTFET technology. [PDF]
Foroutan P, Navi K.
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Corals and Reef‐Dwelling Fish Regulate Carbon Storage and Cycling Processes in Coral Reef Ecosystems
Coral reefs are biodiversity hotspots, yet their role in carbon storage and cycling remains poorly understood. Using field surveys and modeling in the South China Sea, we reveal the overlooked potential of carbon storage in reef ecosystems and how reef fish, corals, and surface sediment jointly shape reef carbon reservoirs.
Yiting Chen +8 more
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Climate-robust evaluation of alfalfa seed maturity via an EMD-guided deep learning framework using multispectral imaging. [PDF]
Jia Z +9 more
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ABSTRACT Intestinal ischemia/reperfusion (I/R) injury presents a biphasic pathology: an acute oxidative‐inflammatory phase leading to organ failure, and a recovery phase marked by mucosal dysfunction and bacterial translocation. The developed MPB@TA‐Cu‐Ma nanocomposite functions as a dual‐phase therapeutic platform with significant efficacy. It rapidly
Chenghao Qiu +15 more
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A note on integrated local energy decay estimates for spherically symmetric black hole spacetimes. [PDF]
Holzegel G, Mavrogiannis G, Ruiz RV.
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Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
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