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Survey and clinical considerations of gender identity in lower primary school children

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World Journal of Psychiatry 2024年第1期14卷 36-43页

作者： Ya-Lin Zhang Hong-Mei Zhang jing-xia Xu Qi-Ying Zhou He Wang xiao-Cheng Pan Department of Pediatrics Hangzhou Ninth People’s HospitalHangzhou 311225Zhejiang ProvinceChina Department of Nursing Hangzhou Children’s HospitalHangzhou 310014Zhejiang ProvinceChina Pediatric Intensive Care Unit Hangzhou Children’s HospitalHangzhou 310014Zhejiang ProvinceChina Out-patient infection Hangzhou Children’s HospitalHangzhou 310014Zhejiang ProvinceChina Traditional Chinese Medicine Ward Hangzhou Children’s HospitalHangzhou 310014Zhejiang ProvinceChina

BACKGROUND Gender consciousness directly affects the development of gender identity,which is a continuous and lifelong process.Meanwhile,hospitalization is a part of many children's lives and has an impact on their gender development.AIM To investigate the current situation of gender identity in lower primary school children by conducting a survey of 202 hospitalized children in the lower grades and to provide a theoretical basis and foundation for the cultivation of gender identity and medical treatment of children based on the results.This study aims to inspire clinical medical staff to scientifically and reasonably arrange hospital wards for lower primary school children and pay attention to gender protection during the medical treatment process and to help children shape a unified and clear gender identity,which will enable them to better integrate into society and promote their personality development.METHODS The gender consciousness scale for elementary and middle school students was RESULTS Gender identity was already present in lower primary school children.The children's gender roles and gender equality consciousness were strong,exceeding the critical value,but their gender characteristics,gender identity,and gender ideal consciousness were weak.Children aged 6 had the weakest gender identity,and girls had significantly stronger gender identity than boys.CONCLUSION Gender identity is already present in lower primary school children,providing a basis and inspiration for the cultivation of gender identity and medical treatment of lower primary school children.Clinical medical staff should be aware of and understand these results and should scientifically and reasonably arrange hospital wards for lower primary school children.

关键词： School-age children Gender consciousness Gender identity Hospitalization Gender weakening

Ascyrones A-E, type B bicyclic ployprenylated acylphloroglucinol derivatives from Hypericum ascyron

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Chinese Journal of Natural Medicines 2022年第6期20卷 473-480页

作者： DENG Xin xia jing QIAN Meng-Yu WANG Xiu-Rong HU Bo LIU Xue-Song WU Lin School of Pharmacy Anhui Medical UniversityInflammation and Immune Mediated Disease Laboratory of Anhui ProvinceHefei 230032China

Five new polycyclic polyprenylated acylphloroglucinols(1-5),ascyrones A-E,and four known compounds(6-9)were isolated from the aerial parts of Hypericum ascyron.All of the isolates containing a bicyclo[3.3.1]nonane-2,4,9-trione core and a benzoyl group,belonged to type B bicyclic polyprenylated acylphloroglucinols(BPAPs).Their structures and absolute configurations were established based on spectroscopic analyses and calculated electronic circular dichroism(ECD)data.The anti-inflammatory,neuroprotective and cytotoxicity activities of compounds 1-4 and 6-9 were evaluated.Compound 6 exhibited obvious anti-inflammatory activity in lipopolysaccharide(LPS)-induced RAW264.7 cells.Compounds 1 and 9 exhibited slight cytotoxicity against Hep3B cells.Meanwhile,compound 1 showed mild neuroprotective activity against corticosterone(CORT)-induced PC 12 cell damage at 10 μmol-L^(-1).

关键词： Hypericum ascyron Acylphloroglucinol Anti-inflammatory activity Neuroprotective activity

Quantifying the effects of stripe rust disease on wheat canopy spectrum based on eliminating non-physiological stresses

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The Crop Journal 2022年第5期10卷 1284-1291页

作者： xia jing Kaiqi Du Weina Duan Qin Zou Tingting Zhao Bingyu Li Qixing Ye Lieshen Yan College of Geomatics Xi’an University of Science and TechnologyXi’an 710054ShaanxiChina Key Laboratory of Digital Earth Science Aerospace Information Research InstituteChinese Academy of SciencesBeijing 100094China

The wheat canopy reflectance spectrum is affected by many internal and external factors such as diseases and growth stage. Separating the effects of disease stress on the crop from the observed mixed signals is crucial for increasing the precision of remote sensing monitoring of wheat stripe rust. The canopy spectrum of winter wheat infected by stripe rust was processed with the difference-in-differences(DID) algorithm used in econometrics. The monitoring accuracies of wheat stripe rust before and after processing with the DID algorithm were compared in the presence of various external factors, disease severity, and several simulated satellite sensors. The correlation between the normalized difference vegetation index processed by the DID algorithm(NDVI-DID) and the disease severity level(SL) increased in comparison with the NDVI before processing. The increase in precision in the natural disease area in the field in the presence of large differences in growth stage, growth, planting, and management of the crop was greater than that in the controlled experiment. For low disease levels(SL 40%).According to the measured hyperspectral data, the spectral reflectance of three satellite sensor levels was simulated. The wide-band NDVI was calculated. Compared with the wide-band NDVI and vegetation indexes(VI) before DID processing, there were increases in the correlation between SL and the various types of VIS-DID, as well as in the correlation between SL and NDVI-DID. It is feasible to apply the DID algorithm to multispectral satellite data and diverse types of VISfor monitoring wheat stripe rust. Our results improve the quantification of independent effects of stripe rust infection on canopy reflectance spectrum,increase the precision of remote sensing monitoring of wheat stripe rust, and provide a r

关键词： Difference-in-differences Wheat stripe rust Severity leve Non-physiological stress Independent effects

基于语言视角对农业机器人自动操作中的交互系统研究

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农机化研究 2024年第7期46卷 193-197页

作者：夏菁重庆机电职业技术大学重庆401331

农业机器人是一种由不同程序软件控制,以适应各种作业,能够感知并适应作物种类或环境变化,有检测(如视觉等)和演算等人工智能的新一代无人自动操作机械。为此,基于三维视觉感知、人机环境交互和自动编程等技术,提出了一种“规则场景”... 详细信息

农业机器人是一种由不同程序软件控制,以适应各种作业,能够感知并适应作物种类或环境变化,有检测(如视觉等)和演算等人工智能的新一代无人自动操作机械。为此,基于三维视觉感知、人机环境交互和自动编程等技术,提出了一种“规则场景”匹配和交互算法,以实现人、农业机器人及环境之间的信息交互,在用户的规则错误或无效时引导用户给出正确的规则,在正确定义规则后,通过自动编程和实现自动操作。田间试验结果表明:提出的基于自然语言交互下的农业机器人自动操作系统可以满足农业操作需求,具有一定的实用性与应用价值,对于实现农业现代化具有一定的推动作用。

关键词：农业机器人语言交互自动编程人机交互环境

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中国古代统绪意识的建构与演化

人文杂志 2024年第2期 24-31页

作者：夏静刘伟首都师范大学文学院

作为一种重要的思想认同,中国古代发达的统绪意识包含了政治的正当性、历史的必然性和文化的正统性,带有鲜明的主观意图与价值指向。凡进入其系谱者,便能不证自明,具有思想的合法性与恒久的经典价值。历史上的道统、政统、学统、文统是... 详细信息

作为一种重要的思想认同,中国古代发达的统绪意识包含了政治的正当性、历史的必然性和文化的正统性,带有鲜明的主观意图与价值指向。凡进入其系谱者,便能不证自明,具有思想的合法性与恒久的经典价值。历史上的道统、政统、学统、文统是中华文化传统形成的思想源泉与价值基石,对于早期思想体系、政治制度、文化建设、学术传统的发生具有根源性的影响。作为圣贤真理传承谱系的道统、作为政治权力传承谱系的政统、作为知识思想传承谱系的学统以及作为文化艺术传承谱系的文统,在历史的建构与理论的演化中,呈现出复杂多面、纵横交错的关系。研究中国思想文化的生成逻辑与发展脉络,离不开统绪意识这一重要的思想认同维度。

关键词：统绪意识道统政统学统文统

基于DEA-Tobit模型的生猪产业绿色发展效率研究

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饲料研究 2024年第3期47卷 176-181页

作者：常静霞郑州科技学院河南郑州450000

近年来,生猪产业绿色化取得长足进展。为了解生猪产业绿色发展效率变化情况及相关影响因素,研究首先通过DEA模型对生猪产业绿色发展效率进行测算,研判样本期内生猪产业绿色发展效率变化情况;再利用面板Tobit模型分析生猪产业绿色发展效... 详细信息

近年来,生猪产业绿色化取得长足进展。为了解生猪产业绿色发展效率变化情况及相关影响因素,研究首先通过DEA模型对生猪产业绿色发展效率进行测算,研判样本期内生猪产业绿色发展效率变化情况;再利用面板Tobit模型分析生猪产业绿色发展效率的影响因素。结果表明:从时间维度观察,生猪产业绿色发展效率在研究期间展现出波动上升的趋势,而在2019年之后,这一趋势则趋于稳定并持续上升。若从空间角度审视,内蒙古、黑龙江等9个省份在生猪产业绿色发展效率方面的提升最为显著。进一步分析动态效率,我们发现规模效率在推动生猪产业绿色发展效率提升中起到了关键作用。此外,资源禀赋、经济发展水平、环境规制、开放程度、交通通达度和规模化水平等要素,均对生猪产业绿色发展效率产生了显著的正向影响,为其提升提供了强大的驱动力。资源禀赋、经济发展水平、环境规制、开放程度、交通通达度和规模化水平均可显著正向提升生猪产业绿色发展效率。因此,应从释放区域资源禀赋、差异化落实环境规制和推动规模化养殖等方面提高生猪产业绿色发展效率。

关键词： DEA-Tobit模型生猪产业绿色发展全要素生产率

Numerical analysis of magnetization AC losses in high-temperature superconducting slabs subjected to uniform strains

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Science China(Technological Sciences) 2014年第4期57卷 765-772页

作者： xia jing ZHOU YouHe Key Laboratory of Mechanics on Disaster and Environment in Western China attached to the Ministry of Education of China and Department of Mechanics and Engineering Sciences College of Civil Engineering and Mechanics Lanzhou University

High-temperature superconductors in superconductor apparatuses are subjected to mechanical strains under operating conditions.These strains cause the degradation of the critical current densities and influence AC losses in the superconductors.Based on the dynamic process of thermomagnetic interaction,we report the results of numerical analysis of AC losses in an infinite high-temperature superconducting slab subjected to a uniform in-plane strain in an alternating external magnetic field parallel to the sample surface.The numerical analysis shows the details of electromagnetic phenomena in the slab and the dependences of AC loss on various external parameters including the uniform strain in the slab and the amplitude and frequency of the external magnetic field.In this paper,we find that whether the magnetic field fully penetrates the superconductor is the key factor that influences the features of AC loss.When the magnetic field cannot fully penetrate the superconductor,the loss rises with increasing strain or decreasing frequency.When the magnetic field can fully penetrate the superconductor,the feature is just opposite.We also analyze the effects of periodic strain on AC loss.It is interesting to find that when the periodic strain frequency equals the external magnetic field frequency,the AC loss reaches the maximum,regardless if the magnetic field fully penetrates the superconductor or not.

关键词：高温超导体数值分析 AC损耗内应变均匀损失磁板外部磁场

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融合核极限学习机与PSR的混沌交通流预测

计算机工程与设计 2024年第6期45卷 1880-1887页

作者：夏晶晶陈振河南牧业经济学院信息工程学院河南郑州450044 河南农业大学信息与管理科学学院河南郑州450002

传统短时交通流预测精度低、稳定性差,提出一种结合改进蝴蝶算法优化核极限学习机与相空间重构的短时交通流预测模型。结合量子自适应种群初始化、邻域扰动和惯性权重对蝴蝶算法改进,利用改进蝴蝶算法对核极限学习机超参寻优。利用混沌... 详细信息

传统短时交通流预测精度低、稳定性差,提出一种结合改进蝴蝶算法优化核极限学习机与相空间重构的短时交通流预测模型。结合量子自适应种群初始化、邻域扰动和惯性权重对蝴蝶算法改进,利用改进蝴蝶算法对核极限学习机超参寻优。利用混沌理论确定样本时序最佳延迟时间和嵌入维数,利用PSR对样本重构,利用优化核极限学习机建立短时混沌交通流预测模型。采用郑州市某主干路口车流实测数据进行实证分析,其结果表明,改进模型能够有效降低预测误差,实现混沌交通流实时准确预测。

关键词：相空间重构核极限学习机交通流预测蝴蝶优化算法量子自适应邻域扰动惯性权重

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柴油机燃烧室部件声发射诊断方法研究

舰船科学技术 2024年第5期46卷 80-85页

作者：夏敬停上海市船舶检验处上海200002

本文基于声发射信号和迁移学习,提出一种新的柴油机燃烧室故障诊断方法。研究在TBD234V6型柴油机上模拟了喷油器堵塞、启阀压力减小和排气阀漏气故障等,用CompactRIO硬件进行信号采集,并针对燃烧室部件故障后声发射信号的特征进行分析... 详细信息

本文基于声发射信号和迁移学习,提出一种新的柴油机燃烧室故障诊断方法。研究在TBD234V6型柴油机上模拟了喷油器堵塞、启阀压力减小和排气阀漏气故障等,用CompactRIO硬件进行信号采集,并针对燃烧室部件故障后声发射信号的特征进行分析。研究表明,以特征参数提取和迁移学习为基础的故障诊断方法能更准确地识别不同故障类型,相对于传统机器学习算法,其准确度更高,泛化能力也更强,对于数据样本较少和不同数据分布的情况下也有较好适应性。此研究对于保证柴油机燃烧室部件的健康状况、确保船舶安全航行具有重要意义。

关键词：柴油机声发射 TrAdaBoost 故障诊断燃烧室部件