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SImuLTANEOUS DETERMINATION OF EPHEDRINE AND ITS ANALOGUES IN URINE BY CAPILLARY GAS CHROMATOGRAPHY

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Chinese Chemical Letters 1990年第2期1卷 175-178页

作者： Lin LI Jian Fang CUI Kai Rong CUI Yi ZHOU mu zou wang Tong Hui ZHOU (Institute of Materia Medica,Chinese Academy of Medical Sciences,Beijing 100050)

A method is developed for the simultaneous determination of ephedrine,pseudoephedrine, norephedrine, norpseudoephedrine and methylephedrine in urine on a capillary column using nitrogen-phosphorus *** is used as the i... 详细信息

关键词： GAS IV SImuLTANEOUS DETERMINATION OF EPHEDRINE AND ITS ANALOGUES IN URINE BY CAPILLARY GAS CHROMATOGRAPHY ITS

Occluded Gait Emotion Recognition Based on multi-Scale Suppression Graph Convolutional Network

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Computers, Materials & Continua 2025年第1期82卷 1255-1276页

作者： Yuxiang zou Ning He Jiwu Sun Xunrui Huang Wenhua wang Beijing Key Laboratory of Information Service Engineering Beijing Union UniversityBeijing100101China College of Smart City Beijing Union UniversityBeijing100101China

In recent years,gait-based emotion recognition has been widely applied in the field of computer ***,existing gait emotion recognition methods typically rely on complete human skeleton data,and their accuracy significantly declines when the data is *** enhance the accuracy of gait emotion recognition under occlusion,this paper proposes a multi-scale Suppression Graph ConvolutionalNetwork(MS-GCN).TheMS-GCN consists of three main components:Joint Interpolation Module(JI Moudle),multi-scale Temporal Convolution Network(MS-TCN),and Suppression Graph Convolutional Network(SGCN).The JI Module completes the spatially occluded skeletal joints using the(K-Nearest Neighbors)KNN interpolation *** MS-TCN employs convolutional kernels of various sizes to comprehensively capture the emotional information embedded in the gait,compensating for the temporal occlusion of gait *** SGCN extracts more non-prominent human gait features by suppressing the extraction of key body part features,thereby reducing the negative impact of occlusion on emotion recognition *** proposed method is evaluated on two comprehensive datasets:Emotion-Gait,containing 4227 real gaits from sources like BML,ICT-Pollick,and ELMD,and 1000 synthetic gaits generated using STEP-Gen technology,and ELMB,consisting of 3924 gaits,with 1835 labeled with emotions such as“Happy,”“Sad,”“Angry,”and“Neutral.”On the standard datasets Emotion-Gait and ELMB,the proposed method achieved accuracies of 0.900 and 0.896,respectively,attaining performance comparable to other ***,on occlusion datasets,the proposedmethod significantly mitigates the performance degradation caused by occlusion compared to other methods,the accuracy is significantly higher than that of other methods.

关键词： KNN interpolation multi-scale temporal convolution suppression graph convolutional network gait emotion recognition human skeleton

Exploring the interaction between the gut microbiota and cyclic adenosine monophosphate-protein kinase A signaling pathway:a potential therapeutic approach for neurodegenerative diseases

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Neural Regeneration Research 2025年第11期20卷 3095-3112页

作者： Fengcheng Deng Dan Yang Lingxi Qing Yifei Chen Jilian zou Meiling Jia Qian wang Runda Jiang Lihua Huang College of Pharmacy Chengdu University of Traditional Chinese MedicineChengduSichuan ProvinceChina State Key Laboratory of Southwestern Chinese Medicine Resources Chengdu University of Traditional Chinese MedicineChengduSichuan ProvinceChina

The interaction between the gut microbiota and cyclic adenosine monophosphate(cAMP)-protein kinase A(PKA)signaling pathway in the host's central nervous system plays a crucial role in neurological diseases and enhances communication along the gut–brain *** gut microbiota influences the cAMP-PKA signaling pathway through its metabolites,which activates the vagus nerve and modulates the immune and neuroendocrine ***,alterations in the cAMP-PKA signaling pathway can affect the composition of the gut microbiota,creating a dynamic network of microbial-host *** reciprocal regulation affects neurodevelopment,neurotransmitter control,and behavioral traits,thus playing a role in the modulation of neurological *** coordinated activity of the gut microbiota and the cAMP-PKA signaling pathway regulates processes such as amyloid-β protein aggregation,mitochondrial dysfunction,abnormal energy metabolism,microglial activation,oxidative stress,and neurotransmitter release,which collectively influence the onset and progression of neurological *** study explores the complex interplay between the gut microbiota and cAMP-PKA signaling pathway,along with its implications for potential therapeutic interventions in neurological *** pharmacological research has shown that restoring the balance between gut flora and cAMP-PKA signaling pathway may improve outcomes in neurodegenerative diseases and emotional *** can be achieved through various methods such as dietary modifications,probiotic supplements,Chinese herbal extracts,combinations of Chinese herbs,and innovative dosage *** findings suggest that regulating the gut microbiota and cAMP-PKA signaling pathway may provide valuable evidence for developing novel therapeutic approaches for neurodegenerative diseases.

关键词： cyclic adenosine monophosphate emotional disorders gut microbiota neurodegenerative diseases neurological diseases protein kinase A reciprocal regulation signaling pathway strategy therapies

Detection of Perfect Stealthy Attacks on Cyber-Physical Systems Subject to Measurement Quantizations: A Watermark-Based Strategy

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IEEE/CAA Journal of Automatica Sinica 2025年第1期 114-125页

作者： Yu-Ang wang Zidong wang Lei zou Bo Shen Hongli Dong the College of Information Science and Technology Donghua University the Engineering Research Center of Digitalized Textile and Fashion Technology Ministry of Education IEEE the College of Electrical Engineering and Automation Shandong University of Science and Technology the Department of Computer Science Brunel University London Uxbridge the Sanya Offshore Oil and Gas Research Institute Northeast Petroleum University the Artificial Intelligence Energy Research Institute Northeast Petroleum University Heilongjiang Provincial Key Laboratory of Networking and Intelligent Control Northeast Petroleum University

In this paper, the attack detection problem is investigated for a class of closed-loop systems subjected to unknownbutbounded noises in the presence of stealthy attacks. The measurement outputs from the sensors are quantized before transmission.A specific type of perfect stealthy attack, which meets certain rather stringent conditions, is taken into account. Such attacks could be injected by adversaries into both the sensor-toestimator and controller-to-actuator channels, with the aim of disrupting the normal data flow. For the purpose of defending against these perfect stealthy attacks, a novel scheme based on watermarks is developed. This scheme includes the injection of watermarks(applied to data prior to quantization) and the recovery of data(implemented before the data reaches the estimator).The watermark-based scheme is designed to be both timevarying and hidden from adversaries through incorporating a time-varying and bounded watermark signal. Subsequently, a watermark-based attack detection strategy is proposed which thoroughly considers the characteristics of perfect stealthy attacks,thereby ensuring that an alarm is activated upon the occurrence of such attacks. An example is provided to demonstrate the efficacy of the proposed mechanism for detecting attacks.

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响应面法优化蚕蛹发酵工艺及其产物呈味特性研究

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食品工业科技 2025年第1期46卷 231-238页

作者：覃芳丽王思远邹宇晓黎尔纳穆利霞李庆荣广东省农业科学院蚕业与农产品加工研究所/广东省农产品加工重点实验室/农业农村部功能食品重点实验室广东广州510610 仲恺农业工程学院轻工食品学院广东广州510225

为优化建立蚕蛹发酵工艺,探索其发酵产物呈味特性,本文研究了不同菌种、接种量、发酵温度、发酵时间对蚕蛹发酵产氨基酸态氮含量的影响,在单因素实验的基础上,采用响应面法对蚕蛹发酵工艺进行优化,并对比分析发酵前后呈味物质与滋味的... 详细信息

为优化建立蚕蛹发酵工艺,探索其发酵产物呈味特性,本文研究了不同菌种、接种量、发酵温度、发酵时间对蚕蛹发酵产氨基酸态氮含量的影响,在单因素实验的基础上,采用响应面法对蚕蛹发酵工艺进行优化,并对比分析发酵前后呈味物质与滋味的变化。结果表明:清酒乳杆菌接种量1.0%、发酵温度32℃、发酵时间10 d是最佳发酵工艺,此时氨基酸态氮含量达0.95±0.02 g/100 g,与预测值相近。与未发酵蚕蛹相比,发酵蚕蛹的游离氨基酸、核苷酸和有机酸含量均显著升高(P<0.05),分别为52.19±0.11、1.01±0.03、65.54±1.61 mg/g。呈鲜味的天冬氨酸、谷氨酸、鸟苷酸、腺苷酸和琥珀酸的TAV值均大于1,特别是谷氨酸和琥珀酸,TAV值高达20.06、138.47,是发酵蚕蛹中鲜味的重要贡献者;蚕蛹发酵后的味精当量达74.44 g MSG/100 g,是发酵前的6.74倍。本研究表明,蚕蛹发酵可产鲜味物质,且风味良好,为蚕蛹的开发利用和鲜味物质的制备提供了新的思路。

关键词：蚕蛹发酵工艺优化呈味物质鲜味

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基于概念性水文模型与长短时记忆模型耦合的汉江上游流域径流模拟

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湖泊科学 2025年第1期37卷 279-292页

作者：邓超孙培源尹鑫邹佳成王卫光河海大学水文水资源学院南京210098 河海大学水灾害防御全国重点实验室南京210098 南京水利科学研究院水灾害防御全国重点实验室南京210029 赣江下游水文水资源监测中心宜春336000

为了探究概念性水文模型(GR4J)与长短时记忆模型(LSTM)耦合过程中物理模型参数反馈机制以及考虑土壤含水量作为中间变量对物理引导机器学习(PIML)模型径流模拟的影响,本研究构建了PIML模型并设置考虑参数反馈、考虑中间变量和两者同时... 详细信息

为了探究概念性水文模型(GR4J)与长短时记忆模型(LSTM)耦合过程中物理模型参数反馈机制以及考虑土壤含水量作为中间变量对物理引导机器学习(PIML)模型径流模拟的影响,本研究构建了PIML模型并设置考虑参数反馈、考虑中间变量和两者同时考虑的3种方案(依次简称为H1、H2、H3),以安康站为控制站的汉江上游流域开展实例研究。结果表明:(1)3种PIML模型径流模拟效果均优于LSTM模型,其中验证期纳什系数(NSE)平均提升10.6%,而PIML-H1与PIML-H3模型径流模拟效果优于GR4J模型,验证期NSE平均提升4.2%,其中PIML-H3模型在3种PIML模型中表现最佳,表明基于LSTM和GR4J模型构建的PIML模型对径流模拟效果有所改善,且同时考虑中间变量和参数反馈因素时对径流模拟效果改善最佳;(2)3种PIML模型对低水流量的模拟效果均优于GR4J和LSTM模型,且PIML-H3模型效果最佳,而对于高水流量,3种PIML模型均表现不佳,说明PIML模型往往在模拟低流量事件中更占优势;(3)3种PIML模型的径流模拟效果均表现出较强的季节性变化,PIML-H2和PIML-H3模型相较于PIML-H1模型受到的季节性变化影响更为明显,说明PIML模型模拟径流结果的季节性变化受到中间变量的影响。研究可为汉江上游流域径流模拟预报提供技术支撑。

关键词：物理引导机器学习径流模拟中间变量 GR4J LSTM 汉江

A novel synthetic route to rac-(Z)-recifeiolide from cyclooctanone and acetaldehyde

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Chinese Chemical Letters 2015年第11期26卷 1393-1396页

作者： Wen-Bo mu Yue zou Quan-Rui wang Andreas Goeke Department of Chemistry Fudan University Fragrance Ingredient Research Center Givaudan Fragrances (Shanghai) Ltd.

A novel synthetic approach to （±）-Z-recifeiolide 6, a 12-membered-ring lactone which can be selectively isomerized into （E）-recifeiolide, a natural antibiotic product isolated from fungus （Cephalosporium recifei） is reported. The synthesis is accomplished in five steps starting from readily available cyclooctanone and acetaldehyde based on the Lewis acid-catalyzed TMS-directed oxy-2-oxonia-Cope rearrangement. The work represents a novel strategy to assemble related macrolides.

关键词： SynthesisAlkenolideRecifeiolideOxonia-Cope rearrangementLewuis acid

Full-color quantum dots active matrix display fabricated by ink-jet printing

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Science China Chemistry 2017年第10期60卷 1349-1355页

作者： Congbiao Jiang Lan mu Jianhua zou Zhiwei He Zhenji Zhong Lei wang Miao Xu Jian wang Junbiao Peng Yong Cao State Key Laboratory of Luminescent Materials and Devices Institute of Polymer Optoelectronic Materials and Devices South China University of Technology Guangzhou 510640 China Guangzhou New Vision Opto-Eleetronic Technology Co. Ltd. Guangzhou 510730 China

Making full-color active matrix display based on quantum dot light emitting diodes(AM-QLEDs) via ink-jet printing is attractive in display industry due to QLEDs' wide color gamut and their potential manufacturing advantages of large screen size and low cost. The challenges for realizing AM-QLED display are how to achieve high quality films through ink-jet printing, multi-color patterning, electroluminescence(EL) color purity, and high efficiency. Herein, a 2-inch diagonal full-color AM-QLEDs display with pixel density of 120 pixels per inch(PPI) fabricated by ink-jet printing technique is presented. Driven by a metal oxide TFT(MOTFT) back-panel, the display exhibits a maximum brightness of 400 cd m.2, and a color gamut of 109%(NTSC 1931). The red, green, and blue(RGB) monochrome QLEDs passive matrix panels fabricated by ink-jet printing technique have a current efficiency(CE) of 2.5, 13.9, and 0.30 cd A.1, respectively. To the best of our knowledge, the efficiencies are the highest among passive matrix QLEDs panels made by ink-jet printing technique. The ink-jet printed QDs films show good thickness uniformity due to high viscosity and low volatility of the printable inks, and no cross-contamination between adjacent pixels resulting from the hydrophobic pixel defining layer.

关键词： full-color display quantum dot light emitting diodes ink-jet printing technology pixel defining layer

Simulations of electron zebra stripes in the inner radiation belt using a composite empirical electric field model

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Science China Earth Sciences 2025年第1期 27-38页

作者： Ziyang wang Ying LIU Qiugang ZONG Hong zou Yuguang YE Xuzhi ZHOU Chao YUE Shan wang Institute of Space Physics and Applied Technology Peking University State Key Laboratory of Lunar and Planetary Science Macau University of Science and Technology

The phenomenon termed “zebra stripes” manifests as regular patterns in the energy-space(L shell) spectrum of energetic electrons(ranging from tens to hundreds ke V) within the inner radiation belt. These structures exhibit drift-periodic behavior and commonly arise from large-scale electric field perturbations near the substorm onsets. In this study, we introduce a composite electric field model and replicate the formation, structure, and evolution of zebra stripes using a bounce-averaged test particle code under this electric field model. High-resolution measurements of energetic electrons obtained from the Van Allen Probes and the recently launched Macao Science Satellites-1 are used as initial conditions and served to validate our test particle simulations. Comparative analyses between observed data and simulations demonstrate our test particle method's efficacy in capturing zebra stripes' general behavior. Moreover, the composite model proves capable of reproducing realistic variations in the electric field within the inner radiation belt to a certain extent. Nevertheless, subtle differences emerge in the flux strength and the positions of stripes. These disparities primarily stem from limitations inherent in the electric field model and the initial conditions of the simulation. Acknowledging that the model represents an average case, it is conceivable that real-world scenarios may deviate from the average, thereby introducing variations in the observed phenomena.

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