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- Dual regulation of cytoplasmic and mitochondrial acetyl-CoA utilization for improved isoprene production in Saccharomyces cerevisiae260
The authors show that isoprene production in the yeast Saccharomyces cerevisiaecan be improved by dual metabolic engineering of cytoplasmic and mitochondrial acetyl-CoA utilization, which is the highest ever reported in engineered eukaryotes.
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- Combining Gal4p-mediated expression enhancement and directed evolution of isoprene synthase to improve isoprene production in Saccharomyces cerevisiae103
The effectiveness of the proposed combinatorial engineering strategy in isoprene biosynthesis is demonstrated, which might also be feasible and instructive for biotechnological production of other valuable chemicals.
- Restoring nuclear entry of Sirtuin 2 in oligodendrocyte progenitor cells promotes remyelination during ageing92
It is shown that nuclear entry of SIRT2 is impaired and NAD+ levels are reduced during ageing in mouse OPCs, and β-nicotinamide mononucleotide supplement delays myelin aging and enhances remyelination in the aged mice.
- Combinatorial pathway optimization in Escherichia coli by directed co‐evolution of rate‐limiting enzymes and modular pathway engineering63
The results demonstrated the potential of pathway optimization in isoprene overproduction as well as the effectiveness of combining metabolic regulation and protein engineering in improvement of microbial biosynthesis.
- Coordinated residential energy resource scheduling with vehicle‐to‐home and high photovoltaic penetrations41
A new biological self-aggregation intelligence inspired metaheuristic algorithm recently proposed by the authors (a natural aggregation algorithm) is applied to solve the model and aims to minimise the future 1 day energy costs and disturbances to the user.
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- Learning to remove sandstorm for image enhancement21
A method equipped with color correction and an unsupervised learning network is proposed to enhance sandstorm images and demonstrates that it outperforms several state-of-the-arts both qualitatively and quantitatively.
- Structural Designs Meet Optimality: Exploring Optimized LSM-tree Structures in a Colossal Configuration Space17
This work introduces Moose, a structure delivering an impressive overall performance for point lookup, range lookup, and update concurrently, and introduces a new framework, Smoose, to navigate the design space for adapting specific workloads.
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- Study of the structures of photodegradation impurities and pathways of photodegradation of cilnidipine by liquid chromatography/Q‐Orbitrap mass spectrometry15
Five novel photodegradation impurities of cilnidipine were separated and identified based on the high-resolution MS/MS data and among those impurities, impurities II and III were the main impurities which existed in the cilNdipine available on the market.
- Aster: Enhancing LSM-structures for Scalable Graph Database13
This work introduces Poly-LSM, a high-performance key-value storage engine for graphs with the following novel techniques, and implements Aster, a robust and versatile graph database that supports Gremlin query language facilitating various graph applications.
- Young-onset breast cancer: a poor prognosis only exists in low-risk patients13
Subgroup analysis indicated that the risk score as the sole factor can stratify the impact of young age on the prognosis of early breast cancer patients, and the risk scored yielded from the nomogram model can assist clinical decision making for young breast cancer Patients.
- Development of a Novel HPLC Method for the Analysis of Impurities in Meropenem and Identification of Unknown Impurities by 2D LC-IT-TOF MS8
The established HPLC method was highly specific, sensitive, and accurate for reliable routine quality control of meropenem raw material and greatly improved the separation and detection ability of impurities.
- Underwater image enhancement by maximum-likelihood based adaptive color correction and robust scattering removal7
An adaptive color correction algorithm based on the maximum likelihood estimation of Gaussian parameters, which effectively removes color casts of a variety of underwater images and achieves competitive performance with the state-of-the-art methods in terms of objective evaluation metrics, which validates the better robustness and higher generalization ability of the enhancement model.
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- Boosting Image Super-Resolution via Fusion of Complementary Information Captured by Multi-Modal Sensors4
Experimental results demonstrate that this novel approach can effectively alleviate the ill-posed inverse problem of image SR by taking into account complementary information from an additional low-cost channel, significantly outperforming state-of-the-art SR approaches in terms of both accuracy and efficiency.
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- Are Joins over LSM-Trees Ready? Take RocksDB as an Example2
This work defines a configuration space for join methods, encompassing various join algorithms, secondary index types, and consistency strategies, and implements all join methods in the configuration space on a unified platform and compares their performance through extensive experiments.
- Analysis and experimental validation of a pressure control method using magneto‐rheology fluid flows1
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- Impurity profile and spectrum characteristics of the isomers in cefamandole nafate using high‐ performance liquid chromatography/high‐performance size exclusion chromatography tandem ion trap/time‐of‐flight mass spectrometry–
The results provided a scientific basis for the improvement of official monographs in pharmacopoeias to effectively control the impurities and ensure drug safety for the public and may guide industry to improve the manufacturing process and storage conditions to reduce the content of impurities in products.
- Form Table of Visual Communication Design in Network Media Under Big Data Background–
In this article, some features of visual communication design in network media are described, and the development strategy of network media is proposed.
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Publication data from OpenAlex, with missing venues and authors filled in from Crossref; citation counts are the higher of OpenAlex and Semantic Scholar, last synced 2026-10-11. One-sentence summaries under some papers are written by Semantic Scholar’s model. Citation counts may be lower than on Google Scholar, which indexes more sources.
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