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Experimental Study on Diesel Spray and Flame Asymmetry Characteristics of Dual-Orifice Nozzles for a Medium-Speed Engine

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Journal of Thermal Science 2025年第1期34卷 303-322页

作者： JU Dehao liURui ZHENG liang DENG Jiahui ZHANG Wenzheng HUO Jinlu huang li Shanghai Marine Diesel Engine Research Institute Shanghai 201108China National Key Laboratory of Marine Engine Science and Technology Shanghai 201108China Key Laboratory for Power Machinery and Engineering Ministry of EducationShanghai Jiao Tong UniversityShanghai 200240China

The asymmetry of the multi-orifice spray will cause uneven heat load of the marine diesel engine,thereby affecting its working performance and service ***,an in-depth understanding of the spray and flame characteristics of multi-orifice nozzles will guide the optimization of the nozzle structure,needle design and diesel atomization and combustion *** this reason,four groups of dual-orifice nozzles with different hole diameters(0.1-0.55 mm)and mass flow rates covering the typical marine medium-speed diesel injections are designed and customized,and the constant volume chamber(CVC)with high temperature and pressure is used to simulate the actual in-cylinder working conditions of the diesel engine for the spray visualization *** study the asymmetry of the fuel sprays discharged from a diesel injector,the multi-orifice nozzle is simplified as a dual-orifice nozzle in this *** with X-ray Computed Tomography(CT)imaging technology,the influences of the nozzle internal structure on the spray and flame asymmetry are studied in the constructed supercritical *** is found that the asymmetry of the inlet angle and the equivalent length-diameter ratio is positively correlated with the inconsistency of the dual *** an increase in the injection pressure and nozzle diameter,the asymmetry of the dual spray becomes more pronounced,resulting in greater disparities in the ignition delay times and ignition positions of the two ***,the increase in nozzle diameter also leads to combustion instability,resulting in a flame with a serrated *** the increase of ambient temperature,the proportion of liquid phase in the jet decreases and the relative density of spray front decreases.

关键词： dual-orifice nozzle nozzle structure atomization spray flame asymmetry

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Predictive value of a constructed artificial neural network model for microvascular invasion in hepatocellular carcinoma:A retrospective study

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World Journal of Gastrointestinal Oncology 2025年第1期17卷 88-100页

作者： Hai-Yang Nong Yong-Yi Cen Shan-Jin Lu Rui-Sui huang Qiong Chen li-Feng huang Jian-Ning huang Xue Wei Man-Rong liu lin li Ke Ding Department of Radiology The Third Affiliated Hospital of Guangxi Medical UniversityNanning 530031Guangxi Zhuang Autonomous RegionChina Department of Radiology Affiliated Hospital of Youjiang Medical University for NationalitiesBaise 533000Guangxi Zhuang Autonomous RegionChina Guangxi Clinical Medical Research Center for Hepatobiliary Diseases Affiliated Hospital of Youiiang Medical University for NationalitiesBaise 533000Guangxi Zhuang Autonomous RegionChina Department of Ultrasound The Third Affiliated Hospital of Guangxi Medical UniversityNanning 530031Guangxi Zhuang Autonomous RegionChina Department of Hepatobiliary Surgery The Third Affiliated Hospital of Guangxi Medical UniversityNanning 530031Guangxi Zhuang Autonomous RegionChina

BACKGROUND Microvascular invasion(MVI)is a significant risk factor for recurrence and metastasis following hepatocellular carcinoma(HCC)***,there is a paucity of preoperative evaluation approaches for *** To investigate the predictive value of texture features and radiological signs based on multiparametric magnetic resonance imaging in the non-invasive preoperative prediction of MVI in *** Clinical data from 97 HCC patients were retrospectively collected from January 2019 to July 2022 at our *** were classified into two groups:MVI-positive(n=57)and MVI-negative(n=40),based on postoperative pathological *** correlation between relevant radiological signs and MVI status was ***4.6 software and the mutual information method were employed to identify the top 10 dominant texture features,which were combined with radiological signs to construct artificial neural network(ANN)models for MVI *** predictive performance of the ANN models was evaluated using area under the curve,sensitivity,and *** models with relatively high predictive performance were screened using the DeLong test,and the regression model of multilayer feedforward ANN with backpropagation and error backpropagation learning method was used to evaluate the models’*** The absence of a pseudocapsule,an incomplete pseudocapsule,and the presence of tumor blood vessels were identified as independent predictors of HCC *** ANN model constructed using the dominant features of the combined group(pseudocapsule status+tumor blood vessels+arterial phase+venous phase)demonstrated the best predictive performance for MVI status and was found to be automated,highly operable,and very *** The ANN model constructed using the dominant features of the combined group can be recommended as a noninvasive method for preoperative prediction of HCC MVI status.

关键词： Hepatocellular carcinoma Texture analysis Magnetic resonance imaging Microvascular invasion Pseudocapsule Tumor blood vessels

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Simulation of lubrication on rough surfaces with multiscale lubrication neural networks

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Science China Technological Sciences 2025年第3期68卷 196-207页

作者： Yihu TANG li huang limin WU Xianghui MENG School of Mechanical Engineering Shanghai Jiao Tong University National Key Laboratory of Marine Engine Science and Technology Shanghai Marine Diesel Research Institute

The simulation of lubrication on rough surfaces is essential for the design and optimization of tribological performance. Although the application of physics-informed neural networks(PINNs) in analyzing hydrodynamic lubrication has been increasing, their implementation has predominantly been restricted to smooth surfaces. This limitation arises from the inherent spectral bias of conventional PINN methodologies, which tend to prioritize the learning of low-frequency features,thereby hindering their ability to analyze rough surfaces characterized by high-frequency signals effectively. To date, there have been no reported instances of PINN methodologies being applied to rough surface lubrication. In response to these challenges,this paper presents an innovative multiscale lubrication neural network(MLNN) architecture that incorporates a trainable Fourier feature embedding. By integrating learnable feature embedding frequencies, this architecture is capable of automatically adjusting to various frequency components, thus improving the analysis of rough surface characteristics. The proposed method has been evaluated across a range of surface topographies, with results compared to those derived from the finite element method(FEM). The comparative analysis indicates a high degree of consistency between the MLNN results and those obtained through FEM. Moreover, this novel architecture demonstrates superior performance in terms of both accuracy and computational efficiency when compared to traditional Fourier feature networks that utilize fixed feature embedding frequencies. As a result, the MLNN model represents a more effective tool for the analysis of lubrication on rough surfaces.

关键词： physics-informed neural network Fourier feature embedding multiscale lubrication rough surface

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Gut microbial characteristics of the damp-heat constitution:a population-based multicenter cross-sectional study

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Journal of Traditional Chinese Medicine 2025年第1期45卷 140-151页

作者： li Tianxing ZHU linghui WANG Xueke TANG Jun YANG lingling PANG Guoming li huang WANG liying DONG Yang ZHAO Shipeng li Yingshuai li lingru Institute of Basic Theory for Chinese Medicine China Academy of Chinese Medical Sciences National Institute of TCM Constitution and Preventive Medicine Beijing University of Chinese Medicine the Second Clinical Medical College Henan University of Chinese Medicine Department of Hepatobiliary Spleen and Stomach the First Affiliated Hospital of Zhejiang Chinese Medical University Henna Province Hospital of Traditional Chinese Medicine Department of Endocrinology Kaifeng Hospital of traditional Chinese Medicine State Key Laboratory of Dampness Syndrome of Chinese Medicine the Second Affiliated Hospital of Guangzhou University of Chinese Medicine College of Chinese Medicine Beijing University of Chinese Medicine Graduate School of China Academy of Chinese Medical Sciences

OBJECTIVE: To investigate the difference in gut microbiota between population with damp-heat constitution(DHC) and balanced constitution(BC). METHODS: A multi-centered cross-sectional casecontrol study was conducted, which included 249 participants with damp-heat constitution or balanced constitution. Baseline information of participants was collected, and stool samples were collected for gut microbiota analysis. Principal coordinate analysis, linear discriminant analysis effect size analysis, receiver operating characteristic, random forest model, and phylogenetic investigation of communities by reconstruction of unobserved states methods were used to reveal the relationship between gut microbiota and the damp-heat constitution. RESULTS: Compared to those in the BC group, the richness and diversity of the microbiota, specifically those of several short-chain fatty acid producing genera such as Barnesiella, Coprobacter, and Butyricimonas, were significantly decreased in the DHC group. Regarding biological functions, flavonoid biosynthesis, propanoate metabolism, and nucleotide sugar metabolism were suppressed, while arachidonic acid metabolism and glutathione metabolism were enriched in the DHC group. Finally, a classifier based on the microbiota was constructed to discriminate between the DHC and BC populations. CONCLUSION: The gut microbiota of the DHC population exhibits significantly reduced diversity and is closely related to inflammation, metabolic disorders, and liver steatosis, which is consistent with clinical observations, thus serving as a potential diagnostic tool for traditional Chinese medicine constitution discrimination.

关键词： PICRUSt Traditional Chinese medicine constitution balanced constitution cross-sectional studies damp-heat constitution inflammatory microbiota multicenter study

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投资者偏好、ESG表现与企业绿色创新

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生态经济 2025年第03期41卷 86-94页

作者：庄雷李凰南京工业大学经济与管理学院苏州大学金融工程研究中心

在“双碳”目标与绿色发展指引下，企业通过绿色创新来获得良好的ESG表现，同时释放出积极信号吸引投资者的注意。论文选取上市公司财务报告数据进行实证分析，结果表明，企业绿色创新显著正向影响ESG表现，企业绿色创新显著正向影响机... 详细信息

在“双碳”目标与绿色发展指引下，企业通过绿色创新来获得良好的ESG表现，同时释放出积极信号吸引投资者的注意。论文选取上市公司财务报告数据进行实证分析，结果表明，企业绿色创新显著正向影响ESG表现，企业绿色创新显著正向影响机构投资者偏好，上市公司良好的ESG表现能够吸引投资者关注，机构投资者偏好存在中介效应。企业要想获得良好的ESG表现，需制定绿色创新发展战略，提升公司绿色治理水平，从而获得更多机构投资者的青睐。从利益相关者的角度建议，机构投资者可以参与公司治理，改善企业内部控制，积极引导企业可持续发展。

关键词：投资者偏好 ESG表现企业绿色创新

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Analysis of the anti-T2DM components in dichloromethane fraction of Schisandra sphenanthera and its mechanism

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Traditional Medicine Research 2025年第1期10卷 27-43页

作者： Shi-Bo Feng Hai-Hui Jiang Hui-li Kang Yi Jiang Hua-Wei Zhang Xiao-Mei Song Yu-Ze li Wen-li huang Dong-Dong Zhang Chong Deng School of Pharmacy Shaanxi University of Chinese MedicineXianyang 712046China School of Pharmacy and Shaanxi Qinling Application Development and Engineering Center of Chinese Herbal Medicine Shaanxi University of Chinese MedicineXianyang 712046China Key Laboratory for Research and Development of“Qin Medicine”of Shaanxi Administration of Traditional Chinese Medicine Xianyang 712046China Shaanxi Key Laboratory of Research and Application of“Taibai Qi Yao” Xianyang 712046China

Background:The type 2 diabetes mellitus(T2DM)pharmacodynamic study of various parts of Schisandra sphenanthera was conducted in the previous stage,and it was found that dichloromethane extracted part(SDP)had a significant hypoglycemic ***,the components of SDP were analyzed,and the specific mechanism of its anti-T2DM was ***:We used a high-fat,high-sugar diet in combination with streptozotocin to induce a T2DM rat model,and the model rats were divided into two groups according to body weight and blood ***,oral glucose tolerance test,fasting blood glucose,low density lipoprotein cholesterol,superoxide dismutase,insulin,glycated hemoglobin,total cholesterol,nonesterified free fatty acids,alanine aminotransferase,high-density lipoprotein cholesterol,aspartate aminotransferase,malondialdehyde,and glutathione peroxidase were measured,organ indices were calculated,and pathological sections of pancreas and liver were *** 16S rRNA V3–V4 region of intestinal flora was sequenced to explore the effect of SDP on biochemical indicators and intestinal *** on the above indicators,the anti-T2DM mechanism of SDP in Schisandra sphenanthera was ***:After six weeks of administration,the biochemical indices of diabetic rats were diminished compared to the control *** SDP could significantly increase the gut microbialα-diversity index,resulting in significant changes in the flora of T2DM rats,with increased richness and diversity,reduced harmful flora,and significantly back-regulated the levels of acetic acid,propionic acid,and butyric ***:SDP can improve the symptoms associated with elevated blood glucose,dyslipidemia,elevated fasting insulin levels,and damaged glucose tolerance in *** against T2DM may be through the control of intestinal flora to normalize and exert anti-diabetic effect;its main active components may be lignans and terpenoids.

关键词： Schisandra sphenanthera T2DM intestinal flora HPLC

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Boosting hydrogen evolution via work-function-accelerated electronic reconfiguration of Mo-based heterojunction

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Science China Materials 2025年第1期68卷 189-198页

作者： Xiang Chen Shuai Feng Song Xie Yaping Miao Biao Gao Xuming Zhang li huang Yun li Paul K.Chu Xiang Peng Hubei Key Laboratory of Plasma Chemistry and Advanced Materials Engineering Research Center of Phosphorus Resources Development and Utilization of Ministry of EducationSchool of Materials Science and EngineeringWuhan Institute of TechnologyWuhan 430205China Department of Physics Department of Materials Science and Engineeringand Department of Biomedical EngineeringCity University of Hong KongHong Kong 999077China School of Textile Science and Engineering Xi’an Polytechnic UniversityXi’an 710048China The State Key Laboratory of Refractories and Metallurgy Institute of Advanced Materials and NanotechnologyWuhan University of Science and TechnologyWuhan 430081China Guizhou Wujiang Hydropower Development Co. Ltd.Guiyang 550002China

Molybdenum-based catalysts have demonstrated significant potential in the electrocatalytic hydrogen evolution reaction(HER).However,the limited exposure of active sites and strong hydrogen adsorption result in suboptimal ***,a Mo_(2)N±MoSe_(2) heterojunction is prepared on carbon cloth(MNS/CC)to enhance the *** strong electronic interaction between Mo_(2)N and MoSe_(2),combined with the lower work function of Mo_(2)N,creates an intrinsic electric field at the heterojunction interface,which markedly improves charge transfer ***,the optimized electronic structure of Mo sites further enhances charge transfer and intrinsically catalytic activity in *** a result,MNS/CC requires overpotentials of mere 65 and 210 mV to achieve current densities of 20 mA cm^(−2) and 1 A cm^(−2),respectively,with a Tafel slope of only 96 mV dec−***,MNS/CC maintains stable operation at 1 A cm^(−2) for 240 h without significant *** results offer insights into the design of non-precious metal-based electrocatalysts for industrial hydrogen production.

关键词： water splitting hydrogen evolution reaction molybdenum-based catalyst heterojunction electronic interaction

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番茄早疫病高光谱图像早期判别及可视化研究

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生物化学与生物物理进展 2025年第2期52卷 513-524页

作者：鲍浩黄莉张艳庞浩贵阳学院计算机科学学院农产品无损检测工程研究中心贵阳550005 贵州大学大数据与信息工程学院贵阳550025

目的番茄是世界范围内产量高、种植面积广的经济作物之一,具有较高的经济效益。番茄早疫病感染速度快、传播范围广、破坏性强,导致番茄减产减收带来严重的经济损失。番茄早疫病早期病状的判别可以为病害的科学防治提供参考,实现病害区... 详细信息

目的番茄是世界范围内产量高、种植面积广的经济作物之一,具有较高的经济效益。番茄早疫病感染速度快、传播范围广、破坏性强,导致番茄减产减收带来严重的经济损失。番茄早疫病早期病状的判别可以为病害的科学防治提供参考,实现病害区域的可视化定位,精准指导病害防治。本文使用高光谱图像结合机器学习算法建立了番茄早疫病早期病状的判别模型,实现了番茄早疫病早期判别和病害区域的可视化定位。方法针对高光谱图像的噪声干扰,利用鲁棒主成分分析(RPCA)实现高光谱图像的去噪处理;为了避免主观选择感兴趣区域造成信息表征不足的问题,使用最大类间方差法(OTSU)算法从背景中有效提取了番茄叶片,并以整个番茄叶片的平均光谱作为研究对象,结合多元散射校正(MSC)算法以及标准化建立了光谱预处理的综合方法;针对预处理后的光谱,为了提高模型的判别能力,建立了基于特征波长和线性核函数SVM的番茄早疫病早期判别模型。结果较全光谱波长建模在测试集上的准确率提高8.33%;对SVM模型的参数进行优化,当参数C=1.64时,训练集和测试集上准确率分别达到了91.67%和94.44%,较参数优化前的模型在训练集上的准确率提高了1.19%,而测试集准确率保持不变,有效缓解了模型欠拟合问题。结论本文建立了番茄早疫病高光谱图像早期判别模型并实现了早期病状的可视化定位,基于特征波长和线性核函数SVM的判别模型可以有效判别番茄早疫病病害的早期病状;利用患病概率的形式对番茄早疫病早期病状进行可视化定位,可视化分析更直观地发现早期病害并采取防治措施。本研究为植物病害早期病状的判别和可视化研究提供了参考,对作物病害的监测识别和科学防治具有重要意义。

关键词：高光谱成像机器学习遗传算法番茄早疫病早期病状可视化

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助产质量评价指标体系的验证分析及评价

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复旦学报(医学版) 2025年第1期52卷 71-76页

作者：赵月娇黄丽丁焱复旦大学附属妇产科医院护理部上海200090

目的应用前期构建的助产质量评价指标体系,评价其作为助产质量评价工具的实用价值。方法选取泛长三角地区13家不同等级及性质的医院作为研究对象,采用加权秩和比法、加权TOPSIS(technique for order preference by similarity to ideal ... 详细信息

目的应用前期构建的助产质量评价指标体系,评价其作为助产质量评价工具的实用价值。方法选取泛长三角地区13家不同等级及性质的医院作为研究对象,采用加权秩和比法、加权TOPSIS(technique for order preference by similarity to ideal solution)法、简单加权法这3种综合评价法对医院的助产质量进行评价排序。运用组合评价法对3种综合评价法的结果进行组合排序,采用肯德尔和谐系数对3种综合评价法的结果进行一致性检验。结果13家医院包括3家三级甲等综合性医院、3家三级甲等妇产专科医院、1家三级乙等综合性医院、2家三级乙等妇产专科医院、1家二级甲等综合性医院、2家二级甲等妇产专科医院和1家二级乙等妇产专科医院。3种综合评价法对13家医院的评价结果排序略有不同,具有较高的一致性,肯德尔和谐系数W=0.794。组合评价法对13家医院的助产质量排序前4名为H10、H4、H1和H2,与研究假设的预判结果(H1、H2、H10的助产质量排序靠前)基本保持一致。结论助产质量评价指标体系的评价结果稳定,能反映助产质量,具有较高的临床实用价值,可作为助产质量评价的科学工具。

关键词：助产质量评价指标临床应用综合评价

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二氧化铈纳米酶的制备及光催化降解四环素

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化学研究与应用 2025年第1期37卷 102-108页

作者：吴丹丹黄丽玲黄海生莆田学院环境与生物工程学院福建莆田351100 福建省新型污染物生态毒理效应与控制重点实验室福建莆田351100 莆田学院土木学院福建莆田351100

以氨水为沉淀剂,乙二醇为分散剂采用化学沉淀法制备二氧化铈。借助TG、XRD、BET、SEM对二氧化铈纳米酶进行形貌分析和表征,研究乙二醇用量对二氧化铈纳米酶晶粒的影响,考察所制得二氧化铈纳米酶对四环素光催化降解性能。实验结果表明:... 详细信息

以氨水为沉淀剂,乙二醇为分散剂采用化学沉淀法制备二氧化铈。借助TG、XRD、BET、SEM对二氧化铈纳米酶进行形貌分析和表征,研究乙二醇用量对二氧化铈纳米酶晶粒的影响,考察所制得二氧化铈纳米酶对四环素光催化降解性能。实验结果表明:乙二醇与硝酸铈物质的量比为4:1、使用量为0.6 g·L^(-1)、pH=7、搅拌速率300 r·min^(-1)、反应温度40℃、氙灯灯电流15 mA、搅拌20 min时对20 mg·L^(-1)的四环素的光催化降解性能最好,达到99.73%,但催化剂重复利用5次后,降解率明显下降。

关键词：二氧化铈纳米酶光催化降解率四环素

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