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Mastering lanthanide energy states for next-gen photonic innovation

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Science China Chemistry 2023年第9期66卷 2460-2479页

作者： Yuyang gu Chang gu Yuxiang Zhang zhen Mu Xiaogang Liu Department of Chemistry National University of SingaporeSingapore 117543Singapore Institute of Materials Research and Engineering Agency for ScienceTechnology and ResearchSingapore 138634Singapore

Lanthanide-based photonic materials have been extensively explored for use in laser crystals,lighting,fiber-optic communications,bioimaging,diagnostics,and many other *** recent years,they have enabled numerous breakthroughs in areas such as single-particle spectroscopy,super-resolution imaging,micro-lasing,lifetime multiplexing,and ***,we summarize recent advances in lanthanide photonic materials from an energy state perspective,focusing on the interplay between energy state manipulation and advanced photonic *** then discuss the challenges and prospects for controlling energy states at the single-particle *** wish to highlight the importance of quantifying and understanding the energy states of lanthanides for future innovations.

关键词： lanthanide nanomaterials super-resolution lifetime lasing

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NASTCNN: a spatio-temporal convolutional neural network with non-local attention mechanism for image-induced brain activity pattern recognition

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Optoelectronics Letters 2025年

作者： TAN Xiangxin SHAO Mingxiong ZENG Ke gu Yue School of Computer Science and Engineering， Tianjin University of Technology Engineering Research Center of Learning-Based Intelligent System (Ministry of Education)， Tianjin University of Technology Krembil Research Institute， University Health Network

Deciphering the brain’s visual processing mechanisms has always been a hot topic. Using neural signal patterns to predict the corresponding external visual stimuli is crucial in understanding the interaction of real visual scenes. There are some challenges in the study of image-induced brain activity pattern recognition based on electroencephalogram (EEG)， e.g. how to fully utilize the effective features of EEG signals to improve the classification， and how the frequency and the length of EEG effect the model performance. We design an experimental paradigm that minimizes the interaction between visual stimuli， and propose a spatio-temporal convolutional neural network with non-local attention mechanism (NASTCNN) for image-induced brain activity pattern recognition. The framework utilizes non-local feature extraction operations to realize global information interaction between EEG signals over long distances and enhance the feature expression of some important information. Our model achieves the best performance on both MNIST-EEG and ImageNet-EEG datasets. The classification results are 24.00% and 50.10% respectively， higher than the random probability. We also analyze the effects of different EEG frequency bands and time subsequences of different lengths on the classification performance and which brain regions are activated over time. The results show that when full frequency band and entire length sequence are selected， the classification result is optimal. The occipital region is essential for processing visual tasks， and the temporal region and some frontal regions also play important role in the later stage of visual decoding. This research can help us better understand the visual processing mechanism of the brain.

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Factors Influencing Glucoraphanin and Sulforaphane Formation in Brassica Plants:A Review

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Journal of Integrative Agriculture 2012年第11期11卷 1804-1816页

作者： gu zhen-xin guO Qiang-hui gu Ying-juan College of Food Science and Technology Nanjing Agricultural University Nanjing 210095 P.R.China

Sulforaphane is a type of sulfur-containing isothiocyanates hydrolyzed from glucosinolates by myrosinase found in Brassica plants. Sulforaphane is a naturally occurring inducer of phase II enzymes in human and animal bodies to detoxify cancer-causing chemicals. Glucoraphanin is the precursor of sulforaphane and its content is greatly influenced by plant species and genotype, plant organs, pre-harvest factors, and post-harvest processing, thus sulforaphane formation is also directly influenced. Here, we review the formation mechanism of sulforaphane and the factors influencing sulforaphane formation. In the end, the future directions are also discussed.

关键词： Brassica plant glucosinolate sulforaphane glucoraphanin influencing factor

An integrated software system for analyzing nanopore data

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Chinese Science Bulletin 2014年第35期59卷 4942-4945页

作者： Na Zhang Yong-Xu Hu zhen gu Yi-lun Ying Pin-Gang He Yi-Tao Long Department of Chemistry East China Normal University Key Laboratory for Advanced Materials Department of ChemistryEast China University of Science and Technology

We presented an integrated software system for analyzing nanopore *** self-developed software provided rapid processes for accurate location,classification,and evaluation of every individual *** the proposed software,statistical analysis could be achieved easily and *** results of β-Amyloid 42 demonstrated that our data process could rapidly extract duration time and current *** addition,our data process could accurately carry out statistical fittings.

关键词：软件系统数据集成纳米孔统计分析数据处理淀粉样蛋白分析数据自主研发

DRPS:efficient disk-resident parameter servers for distributed machine learning

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Frontiers of Computer Science 2022年第4期16卷 79-90页

作者： zhen Song Yu gu Zhigang Wang Ge Yu School of Computer Science and Engineering Northeastern UniversityShenyang110819China College of Information Science and Engineering Ocean University of ChinaQingdao266100China

Parameter server(PS)as the state-of-the-art distributed framework for large-scale iterative machine learning tasks has been extensively ***,existing PS-based systems often depend on memory *** memory constraints,machine learning(ML)developers cannot train large-scale ML models in their rather small local ***,renting large-scale cloud servers is always economically infeasible for research teams and small *** this paper,we propose a disk-resident parameter server system named DRPS,which reduces the hardware requirement of large-scale machine learning tasks by storing high dimensional models on *** further improve the performance of DRPS,we build an efficient index structure for parameters to reduce the disk I/O *** on this index structure,we propose a novel multi-objective partitioning algorithm for the ***,a flexible workerselection parallel model of computation(WSP)is proposed to strike a right balance between the problem of inconsistent parameter versions(staleness)and that of inconsistent execution progresses(straggler).Extensive experiments on many typical machine learning applications with real and synthetic datasets validate the effectiveness of DRPS.

关键词： parameter servers machine learning disk resident parallel model

Risk assessment of fault water inrush during deep mining

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International Journal of Mining Science and Technology 2022年第2期32卷 423-434页

作者： Zhaodan Cao Qixiong gu zhen Huang Jiaju Fu College of Civil Engineering and Architecture Zhejiang UniversityHangzhou 310058China ZJU-UIUC Institute Zhejiang UniversityHaining 314400China School of Resources and Environment Engineering Jiangxi University of Science and TechnologyGanzhou 341000China guiyang Architectural Design and Surveying Prospecting CO.LTD Guiyang 550082China

With the gradual depletion of shallow coal resources,the Yanzhou mine in China will enter the lower coal seam mining ***,as mining depth increases,lower coal seam mining in Yanzhou is threatened by water inrush in the Benxi Formation limestone and Ordovician *** existing prediction models for the water burst at the bottom of the coal seam are less accurate than expected owing to various controlling factors and their intrinsic *** analyzing the hydrogeological exploration data of the Baodian lower seam and combining the results of the water inrush coefficient method and the Yanzhou mine pressure seepage test,an evaluation model of the seepage barrier capacity of the fault was *** evaluation results show the water of the underlying limestone aquifer in the Baodian mine area mainly threatens the lower coal mining through the fault fracture *** security of mining above confined aquifer in the Baodian mine area gradually decreases from southwest to *** comparing the water inrush coefficient method and the evaluation model of fault impermeability,the results show the evaluation model based on seepage barrier conditions is closer to the actual situation when analyzing the water breakout situation at the working face.

关键词： Lower coal seam Mining above confined aquifer Water inrush coefficient Water injection test Impermeability strength Water-inrush in fault

Dynamical characteristics of geomorphologic evolution of the basins covered by Pisha-sandstone in the eastern wing of the Ordos Plateau, China

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Journal of Mountain Science 2018年第5期15卷 1046-1056页

作者： gu zhen-kui SHI Chang-xing Key Laboratory of Water Cycle and Related Land Surface Processes Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing 100101 China University of Chinese Academy of Sciences Beijing 100049 China

There are several basins with high sediment yield in the Pisha-sandstone covering area of the east wing of the Ordos Plateau. Due to the lack of targeted research on the dynamical characteristics of geomorphic evolution that plays an important role in the sand production, this paper analyzed the tectonic activity intensity and erosion characteristics of the area. The results show that the intensity of tectonic activities in the area is generally moderateweak and shows an unconspicuous increase from north to south. Tectonic activity is manifested mainly in the form of uplift. The uplift rate in the lower reaches of each basin is greater than the erosion rate,which is prominent in the Kuyehe and the Tuweihe rivers. During the uplift of the regional topography,the most serious parts under erosion are generally concentrated in the upstream and midstream of basins. All longitudinal profiles of the basins have a shape close to an exponential function, which indicates that they are in the early stage of erosion evolution. The mechanisms of geomorphologic evolution of these basins have a great similarity. The conservative estimate of historical average erosion rate was less than 182–520 t/(km^2·yr), much less than that of the modern times. The average stream power values are typically distributed between 4 and102 W/m, with the larger being in the Kuyehe and the Tuweihe rivers and the smallest being in the Qinshuihe River. The maximum stream power value appears in the downstream reach, which should be the main reason for the particles being directly injected into the Yellow River. From the perspective of geomorphological evolution, the current soil and water conservation measures can hardly cure the erosion of these basins in the long run.

关键词： Dynamic characteristics Geomorphologic evolution Ordos Plateau Tectonicactivity Stream power Geomorphological parameter

Cargo-encapsulated cells for drug delivery

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Science China(Life Sciences) 2020年第4期63卷 599-601页

作者： Zhaowei Chen Di Wen zhen gu MOE Key Laboratory for Analytical Science of Food Safety and Biology College of ChemistryFuzhou UniversityFuzhou 350108China Department of Bioengineering University of CaliforniaLos AngelesCA 90095USA California NanoSystems Institute University of CaliforniaLos AngelesCA 90095USA Jonsson Comprehensive Cancer Center University of CaliforniaLos AngelesCA 90095USA Center for Minimally Invasive Therapeutics University of CaliforniaLos AngelesCA 90095USA

Synthetic micro-/nanoparticle(MNP)carriers,either organic or inorganic ones,have advanced considerably in recent years for drug delivery with the aim of enhancing drug solubility/stability,reducing systemic toxicity and increasing dosing at pathological sites(Chen and Liang,2018;Xiang et al.,2018).Specially,the properties of MNPs,such as size,morphology,or surface groups,can be easily modulated to maximize their potency in delivering drugs to the targeted areas(Ran and Xue,2018).Nevertheless,till now,only a handful of MNPs have been approved by the US Food and Drug Administration for clinical *** numerous proof-of-concept studies of MNPs in animal models are in progress or are being clinically evaluated,synthetic MNPs are still struggling to reach the clinical expectations.

关键词： proof solubility inorganic

Engineering platelet-mimicking drug delivery vehicles

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Frontiers of Chemical Science and Engineering 2017年第4期11卷 624-632页

作者： Quanyin Hu Hunter N. Bomba zhen gu Joint Department of Biomedical Engineering University of North Carolina at Chapel Hill and North Carolina State University Raleigh USA Division of Molecular Pharmaceutics and Center for Nanotechnology in Drug Delivery Eshelman School of Pharmacy University of North Carolina at Chapel Hill Chapel Hill USA Department of Medicine University of North Carolina School of Medicine Chapel Hill USA

Platelets dynamically participate in various physiological processes, including wound repair, bacterial clearance, immune response, and tumor metastasis. Recreating the specific biological features of platelets by mimicking the structure of the platelet or translocating the platelet membrane to synthetic particles holds great promise in disease treatment. This review highlights recent advancements made in the platelet-mimicking strategies. The future opportunities and translational challenges are also discussed.

关键词： drug delivery platelets nanomedicine,bio-inspired biomimetic