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163 Result(s)
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Article
Open AccessOptimized design and in vivo application of optogenetically functionalized Drosophila dopamine receptors
Neuromodulatory signaling via G protein-coupled receptors (GPCRs) plays a pivotal role in regulating neural network function and animal behavior. The recent development of optogenetic tools to induce G protein-me...
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Article
Open AccessPrognostic and risk factor analysis of cancer patients after unplanned ICU admission: a real-world multicenter study
To investigate the occurrence and 90-day mortality of cancer patients following unplanned admission to the intensive care unit (ICU), as well as to develop a risk prediction model for their 90-day prognosis. W...
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Article
Open AccessCollaborative and privacy-preserving retired battery sorting for profitable direct recycling via federated machine learning
Unsorted retired batteries with varied cathode materials hinder the adoption of direct recycling due to their cathode-specific nature. The surge in retired batteries necessitates precise sorting for effective ...
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Article
Open AccessHomogenizing out-of-plane cation composition in perovskite solar cells
Perovskite solar cells with the formula FA1−xCsxPbI3, where FA is formamidinium, provide an attractive option for integrating high efficiency, durable stability and compatibility with scaled-up fabrication. Despi...
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Article
Stepwise genetic modification for efficient expression of heterologous proteins in Aspergillus nidulans
Filamentous fungi are widely used in food fermentation and therapeutic protein production due to their prominent protein secretion and post-translational modification system. Aspergillus nidulans is an important ...
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Article
Machine-learning-assisted design of a binary descriptor to decipher electronic and structural effects on sulfur reduction kinetics
The catalytic conversion of lithium polysulfides is a promising way to inhibit the shuttling effect in Li–S batteries. However, the mechanism of such catalytic systems remains unclear, which prevents the ratio...
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Article
Graph neural network for recommendation in complex and quaternion spaces
With the development of graph neural network, researchers begin to use bipartite graph to model user-item interactions for recommendation. It is worth noting that most of graph recommendation models represent ...
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Article
Open AccessChemical features and machine learning assisted predictions of protein-ligand short hydrogen bonds
There are continuous efforts to elucidate the structure and biological functions of short hydrogen bonds (SHBs), whose donor and acceptor heteroatoms reside more than 0.3 Å closer than the sum of their van der...
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Article
Open AccessA recyclable biomass electrolyte towards green zinc-ion batteries
The operation of traditional aqueous-electrolyte zinc-ion batteries is adversely affected by the uncontrollable growth of zinc dendrites and the occurrence of side reactions. These problems can be avoided by t...
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Article
Open AccessDifferent expression and prognostic value of troponin in ischemic cardiomyopathy and non-ischemic dilated cardiomyopathy
Early risk stratification of patients with ischemic cardiomyopathy (ICM) and non-ischemic dilated cardiomyopathy (NIDCM) may be beneficial for therapies.
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Article
Sustainable upcycling of spent LiCoO2 to an ultra-stable battery cathode at high voltage
The continued market growth for electric vehicles globally is accelerating the transformational shift to a low-carbon transportation future. However, the sustainability of this transition hinges to a large ext...
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Article
Open AccessIntronic position +9 and −9 are potentially splicing sites boundary from intronic variants analysis of whole exome sequencing data
Whole exome sequencing (WES) can also detect some intronic variants, which may affect splicing and gene expression, but how to use these intronic variants, and the characteristics about them has not been repor...
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Article
Regulating Li transport in Li-magnesium alloy for dendrite free Li metal anode
Li metal has become a strong candidate for anode due to its high theoretical specific capacity and lowest electrochemical potential. However, the poor reversibility caused by continuous chemical and electroche...
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Article
Highly bright and stable single-crystal perovskite light-emitting diodes
Metal-halide perovskite light-emitting diodes (PeLEDs) have attracted great interest because of their tunable emission wavelength, narrow emission bandwidth and high external quantum efficiency. However, PeLED...
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Article
Integrating molybdenum sulfide selenide-based cathode with C-O-Mo heterointerface design and atomic engineering for superior aqueous Zn-ion batteries
Transition metal dichalcogenides (TMDs) have been regarded as promising cathodes for aqueous zinc-ion batteries (AZIBs) but suffer from sluggish reaction kinetics due to their poor conductivity and the strong ...
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Article
2D Modeling of the Annealing Process After Ion Implantation in n-on-p HgCdTe
A 2D model for the annealing process after ion implantation in HgCdTe was established. The 2D model was based on the diffusion equations of Hg vacancy and interstitial. Generation and annihilation of the Hg va...
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Article
Open AccessDirect regeneration of degraded lithium-ion battery cathodes with a multifunctional organic lithium salt
The recycling of spent lithium-ion batteries is an effective approach to alleviating environmental concerns and promoting resource conservation. LiFePO4 batteries have been widely used in electric vehicles and en...
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Article
Open AccessColonization of Fusobacterium nucleatum is an independent predictor of poor prognosis in gastric cancer patients with venous thromboembolism: a retrospective cohort study
Fusobacterium nucleatum (F. nucleatum) often colonizes cancerous gastric tissues and is characterized by the promotion of platelet aggregation and the development of visceral thrombosis. Venous thromboembolism (V...
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Article
Open AccessRegional differences of the sclera in the ocular hypertensive rat model induced by circumlimbal suture
To describe the regional differences of the sclera in ocular hypertension (OHT) models with the inappropriate extension of the ocular axis.
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Chapter and Conference Paper
Hierarchical Aggregation Based Knowledge Graph Embedding for Multi-task Recommendation
Recently, knowledge graph has been used for alleviating the problems such as sparsity faced by the recommendation. Multi-task learning, which is an important emerged frontier research direction, helps compleme...