Results 61 to 70 of about 41,352 (256)
Query dependent pseudo-relevance feedback based on wikipedia [PDF]
Pseudo-relevance feedback (PRF) via query-expansion has been proven to be e®ective in many information retrieval (IR) tasks. In most existing work, the top-ranked documents from an initial search are assumed to be relevant and used for PRF. One problem with this approach is that one or more of the top retrieved documents may be non-relevant, which can ...
Xu, Yang, Jones, Gareth J.F., Wang, Bin
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Bacterial biofilms form a physicochemical barrier. Their dense network structure and redox homeostasis confer high resistance to antimicrobial treatments and immune‐mediated killing and clearance. In this study, SnSe nanosheets with enzyme‐like properties and piezoelectric catalysis can oscillate to regulate bacterial redox homeostasis and improve the ...
Min Ge +9 more
wiley +1 more source
We generated multi‐tissue single‐cell transcriptomic atlases of camels and cattle, uncovering conserved and lineage‐specific cellular features across digestive and metabolic systems. Cross‐species comparisons revealed the evolutionary origin of the camel glandular sac and identified novel cell populations linked to physiological specialization ...
Tao Shi +22 more
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Protein complexes like KIBRA‐PKMζ are crucial for maintaining memories, forming month‐long protein traces in memory‐tagged neurons, but conventional RNA‐seq analysis fails to detect their transcript changes, leaving memory molecules undetected in the shadows of abundantly‐expressed genes.
Jiyeon Han +10 more
wiley +1 more source
This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo +6 more
wiley +1 more source
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
wiley +1 more source
Pseudo relevance feedback based on majority voting mechanism
The pseudo relevance feedback mechanism has come to improve the performance of the CBIR systems before visualising the final results and without any user assistance. In this paper, we show the superiority of our proposed a pseudo relevance feedback scheme 'majority voting algorithm'.
Mawloud Mosbah, Bachir Boucheham
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A semiconductor‐fabricated nanowell biosensor enables rapid, scalable, and highly reproducible detection of SARS‐CoV‐2 antigens from nasal swabs within ∼10 minutes. Clinical validation in 249 retrospective and 243 prospective patient samples demonstrates high sensitivity and specificity, minimal cross‐reactivity, and robust batch‐to‐batch ...
Yoo Min Park +11 more
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ABSTRACT Current therapies for Parkinson's disease (PD) fail to concurrently address α‐synuclein (α‐syn) aggregation and microglia‐mediated neuroinflammation. Herein, we engineer a near‐infrared‐II (NIR‐II) phototheranostic nanoplatform, CAG/FD1080@MM‐aTRPV4, for synergistic regulation of microglial function and real‐time monitoring of PD pathology. We
Hsuan Lo +9 more
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Light‐Harvesting Photothermal Hotspots Enabled by NIR Scattering‐Absorption Coupling
By coupling the broadband scattering of nanodiamonds with the plasmonic absorption of gold nanostars, this work proposes a novel strategy for the active modulation of photon transport. This strategy creates localized photothermal hotspots in turbid media and achieves a supra‐additive heating efficiency, thereby providing a universal platform for low ...
Zebin Wu +17 more
wiley +1 more source

