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连铸板坯凝固过程的鼓肚应变分析

钢铁钒钛 2024年第2期45卷 125-131,161页

作者：何育民罗阳何博西安建筑科技大学机电工程学院陕西西安710311 中国重型机械研究院股份公司陕西西安710018

针对板坯连铸机铸坯的鼓肚变形问题,通过降低铸流两相界鼓肚应变以解决结晶器液面的波动问题,考虑辊子与铸流的接触弧长对鼓肚应变的影响,推导出辊子与铸流的接触弧长与鼓肚应变的关系式,得到辊子与铸流的接触弧长对鼓肚应变的解析解。... 详细信息

针对板坯连铸机铸坯的鼓肚变形问题,通过降低铸流两相界鼓肚应变以解决结晶器液面的波动问题,考虑辊子与铸流的接触弧长对鼓肚应变的影响,推导出辊子与铸流的接触弧长与鼓肚应变的关系式,得到辊子与铸流的接触弧长对鼓肚应变的解析解。通过推导辊子与铸流的接触弧长和鼓肚应变的关系式,量化其对鼓肚应变的影响程度。首先建立板坯连铸和凝固传热模型,以获得板坯冷却过程中板坯壳的生长。其次建立了改进的三维鼓肚有限元模型,根据实际连铸机的设备和工艺条件,计算板坯凝固过程中鼓肚变形量和鼓肚应变。最后,依据仿真结果得到零号扇形段的坯壳鼓肚变形状态,以及坯壳在两相界的应变规律。结果表明,当辊径每增加50 mm时,在同一位置处鼓肚应变会减小0.005%左右,因此增大辊径可有效增加辊子接触弧长,并且降低鼓肚应变,在0号段应选取辊径为250 mm,使得鼓肚应变最小。

关键词：连铸板坯鼓肚应变轧辊接触弧长仿真计算蠕变温度场

数字化赋能,提升学生核心素养的实践研究——以小学音乐学科为例

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教育参考 2024年第2期 45-48页

作者：何瑜敏上海市浦东新区明珠小学上海200123

随着数字技术的发展,数字化教学的应用为音乐教学实现了立体生动、多向互动的教学情境,基于教学目标、学生学习情况创设真实的教学情境,解决教学实际问题,培养学生音乐核心素养。文章探讨小学音乐课堂教学中数字化情境创设的概念、运用... 详细信息

随着数字技术的发展,数字化教学的应用为音乐教学实现了立体生动、多向互动的教学情境,基于教学目标、学生学习情况创设真实的教学情境,解决教学实际问题,培养学生音乐核心素养。文章探讨小学音乐课堂教学中数字化情境创设的概念、运用数字化情境教学的作用与特点、应遵循的原则、数字化情境教学在小学音乐课堂的运用与实践、情境教学的变化,寻求提升学生核心素养的有效途径。

关键词：音乐教学数字赋能核心素养

HPLC指纹图谱分析竹节参茎叶化学成分的累积特征

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华西药学杂志 2024年第3期39卷 303-308页

作者：王瑶郭佳龙叶陈辉袁成福袁丁何毓敏三峡大学健康医学院湖北宜昌443002 三峡大学基础医学院湖北宜昌443002 三峡大学国家中医药管理药理科研三级实验室湖北宜昌443002

目的研究不同生长期竹节参茎叶中化学成分的累积变化规律。方法采用HPLC法测定不同生长期竹节参的茎叶,根据紫外光谱特征鉴别对应成分类型,计算相似度;运用聚类分析(HCA)、主成分分析(PCA)和偏最小二乘法-判别分析(PLS-DA)对竹节参茎叶... 详细信息

目的研究不同生长期竹节参茎叶中化学成分的累积变化规律。方法采用HPLC法测定不同生长期竹节参的茎叶,根据紫外光谱特征鉴别对应成分类型,计算相似度;运用聚类分析(HCA)、主成分分析(PCA)和偏最小二乘法-判别分析(PLS-DA)对竹节参茎叶进行模式识别分析;结合热图分析各类化学成分的累积变化规律。结果建立了竹节参茎叶的HPLC指纹图谱,标定了23个共有峰,对应化学成分类型主要为黄酮类和皂苷类,并指认了其中7个共有峰;22批样品的一致性较高;竹节参茎叶在不同生长期内的成分累积特征存在差异,4、5月份黄酮类成分积累最多,而皂苷类成分的累积量在6、7月份达最大值;通过HCA、PCA和PLS-DA可将不同生长期的竹节参茎叶完全区分开来,其中,有7个特征峰可作为不同生长期竹节参茎叶差异性的主要标志。结论竹节参茎叶含有丰富的黄酮类和皂苷类成分,HPLC指纹图谱结合化学计量学法能反映其生长期内次生代谢成分的动态累积变化。

关键词：竹节参茎叶高效液相色谱法指纹图谱不同生长期化学模式识别次生代谢产物动态累积特征

基于离散粒子群算法的电力芯片电路运行参数优化

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电子设计工程 2024年第11期32卷 169-172,178页

作者：何雨旻辛明勇王宇徐长宝贵州电网有限责任公司电力科学研究院贵州贵阳550002

电力芯片电路运行中受到不确定因素的干扰,信噪比较低。为此基于离散粒子群算法提出了一种新的电力芯片电路运行参数优化方法,分析输出功率和发电功率,根据计算结果得到目标函数,确定离散粒子群的分布状态,平行转换最优粒子,建立参数序... 详细信息

电力芯片电路运行中受到不确定因素的干扰,信噪比较低。为此基于离散粒子群算法提出了一种新的电力芯片电路运行参数优化方法,分析输出功率和发电功率,根据计算结果得到目标函数,确定离散粒子群的分布状态,平行转换最优粒子,建立参数序列,构建电力芯片电路运行参数优化模型,提取运行参数特征,二次优化调试数据,剔除异常数据,建立离散阵列模型,通过数据扫描实现参数优化。实验结果表明,所设计方法在面对连续运行电路数据和随机电路数据时,具有极好的优化效果,平均绝对值误差低于0.10,均方根误差低于0.20,信噪比较高,具有较好的效果。

关键词：离散粒子群算法电力芯片电路运行运行参数参数优化

Enabling practical electrocatalyst-assisted photoelectro- chemical water splitting with earth abundant materials

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Nano Research 2015年第1期8卷 56-81页

作者： Xiaogang Yang Rui Liu yumin he James Thorne Zhi Zheng Dunwei Wang Key Laboratory of Micro-Nano Materials for Energy Storage and Conversion of henan Province and Institute of Surface Micro and Nano Materials Xuchang University Henan 461000 China Joint Center for Artificial Photosynthesis California Institute of Technology Division of Chemistry and Chemical Engineering Pasadena CA 91125 USA Department of Chemistry Boston College Merkert Chemistry Center 2609 Beacon St. Chestnut Hill MA 02467 USA

Sustainable development and continued prosperity of humanity hinge on the availability of renewable energy sources on a terawatts scale. In the long run, solar energy is the only source that can meet this daunting demand. Widespread utilization of solar energy faces challenges as a result of its diffusive （hence low energy density） and intermittent nature. How to effectively harvest, concentrate, store and redistribute solar energy constitutes a fundamental challenge that the scientific community needs to address. Photoelectrochemical （PEC） water splitting is a process that can directly convert solar energy into chemical energy and store it in chemical bonds, by producing hydrogen as a clean fuel source. It has received significant research attention lately. here we provide a concise review of the key issues encountered in carrying out PEC water splitting. Our focus is on the balance of considerations such as stability, earth abundance, and efficiency. Particular attention is paid to the combination of photoelectrodes with electrocatalysts, especially on the interfaces between different components.

关键词： photoelectrochemical water splitting efficiency stability interface earth abundance

Data mining-based study on sub-mentally healthy state among residents in eight provinces and cities in China

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Journal of Traditional Chinese Medicine 2014年第4期34卷 511-517页

作者： Hongmei Ni Xuming Yang Chengquan Fang Yingying Guo Mingyue Xu yumin he College of Basic Medicine Shanghai University of Traditional Chinese Medicine College of Acupuncture and Massage Shanghai University of Traditional Chinese Medicine Department of Gastroenterology Yueyang Hospital of Integrated Chinese Medicine and Western Medicineaffiliated to Shanghai University of Traditional Chinese Medicine

OBJECTIVE: To apply data mining methods to research on the state of sub-mental health among residents in eight provinces and cities in China and to mine latent knowledge about many conditions through data mining and analysis of data on 3970 sub-mentally healthy individuals selected from 13385 relevant question ***: The strategic tree algorithm was used to identify the main mani festations of the state of sub-mental health. The backpropogation artificial neural network was used to analyze the main mani festations of sub-healthy mental states of three different degrees. A sub-mental health evaluation model was then established to achieve predictive ***: Using classifications from the Scale of Chinese Sub-healthy State, the main manifestations of sub-mental health selected using the strate gictree were F1101(Do you lack peace of mind?),F1102(Are you easily nervous when something comes up?), and F1002(Do you often sigh?). The relative intensity of manifestations of sub-mental health was highest for F1101, followed by F1102,and then F1002. Through study of the neural network, better differentiation could be made between moderate and severe and between mild and severe states of sub-mental health. The differentiation between mild and moderate sub-mental health states was less apparent. Additionally, the sub-mental health state evaluation model, which could be used to predict states of sub-mental health of different individuals, was established using F1101, F1102, F1002, and the mental self-assessment totals ***: The main manifestations of the state of sub-mental health can be discovered using data mining methods to research and analyze the latent laws and knowledge hidden in research evidence on the state of sub-mental health. The state of sub-mental health of different individuals can be rapidly predicted using the model established *** can provide a basis for assessment and intervention for sub-mental health. It can also

关键词： Questionnaires Mental health Data mining Strategictree Artificial neural network

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基于神经网络的电力芯片能耗优化方法

机械设计与制造工程 2024年第5期53卷 139-142页

作者：何雨旻徐长宝辛明勇陈军健贵州电网有限责任公司电力科学研究院贵州贵阳550002 南方电网数字电网研究院有限公司广东广州510700

针对部分类型电力芯片能耗优化效果较差的问题,提出基于神经网络的电力芯片能耗优化方法。构建电力芯片能耗模型,提取芯片能耗特征,采用BP神经网络对其进行评价。实验结果表明,该方法可对多种类型的电力芯片能耗进行优化,包括开关能耗... 详细信息

针对部分类型电力芯片能耗优化效果较差的问题,提出基于神经网络的电力芯片能耗优化方法。构建电力芯片能耗模型,提取芯片能耗特征,采用BP神经网络对其进行评价。实验结果表明,该方法可对多种类型的电力芯片能耗进行优化,包括开关能耗、泄漏能耗等,从而降低芯片的总能耗。

关键词：神经网络电力芯片能耗优化特征参数能耗模型

SOX2-dependent expression of dihydroorotate dehydrogenase regulates oral squamous cell carcinoma cell proliferation

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International Journal of Oral Science 2021年第1期13卷 62-70页

作者： Xuemei Qiu Sheng Jiang Yanxuan Xiao yumin he Tao Ren Lu Jiang Rui Liu Qianming Chen State Key Laboratory of Oral Diseases&National Clinical Research Center for Oral Diseases&Chinese Academy of Medical Sciences Research Unit of Oral Carcinogenesis and Management West China Hospital of StomatologySichuan UniversityChengduChina Ministry of science and technology The Second Affiliated Hospital of Chengdu Medical College(China National Nuclear Corporation 416 Hospital)ChengduChina Oncology Department Clinical Medical College and The First Affiliated Hospital of Chengdu Medical CollegeChengduChina

Oral squamous cell carcinoma(OSCC)become a heavy burden of public health,with approximately 300000 newly diagnosed cases and 145000 deaths worldwide per *** metabolism fuel DNA replication and RNA synthesis,which is indispensable for cell *** how tumor cells orchestrate nucleotide metabolic enzymes to support their rapid growth is largely *** we show that expression of pyrimidine metabolic enzyme dihydroorotate dehydrogenase(DHODH)is upregulated in OSCC tissues,compared to non-cancerous adjacent *** expression of DHODH is correlated with a shortened patient survival *** of DHODH by either shRNA or selective inhibitors impairs proliferation of OSCC cells and growth of tumor ***,loss of functional DHODH imped de novo pyrimidine synthesis,and disrupt mitochondrial respiration probably through destabilizing the MICOS *** study shows that transcriptional factor SOX2 plays an important role in the upregulation of DHODH in *** findings add to the knowledge of how cancer cells co-opt nucleotide metabolism to support their rapid growth,and thereby highlight DHODH as a potential prognostic and therapeutic target for OSCC treatment.

关键词： SOX2 metabolism squamous

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退火对电流体喷印线圈磁敏特性的影响

机械 2024年第7期51卷 23-29页

作者：张缘圆甘寅锴辛明勇何雨旻余丙军贵州电网有限责任公司电力科学研究院贵州贵阳550002 西南交通大学机械工程学院四川成都610031

研究了热退火对不同电流体喷印方式制备的微纳金属线圈磁感应特性的影响。首先,仿真分析了不同线圈参数对线圈电感性能的影响,设计了磁敏线圈结构;然后,使用电流体喷印设备进行线圈制备,并利用磁场发生及检测系统对喷印线圈进行性能表征... 详细信息

研究了热退火对不同电流体喷印方式制备的微纳金属线圈磁感应特性的影响。首先,仿真分析了不同线圈参数对线圈电感性能的影响,设计了磁敏线圈结构;然后,使用电流体喷印设备进行线圈制备,并利用磁场发生及检测系统对喷印线圈进行性能表征;最后,对比了相同条件下(真空,300℃)退火前后不同电流体喷印方式制备的微纳金属线圈在均匀交变磁场下的感应电动势随激励电压/电流的变化规律。实验结果表明,退火后的线圈表现出更为优秀的导电性,并分析了其变化机制。为基于电流体喷印技术的微纳磁敏线圈制备提供了有益思路。

关键词：电流体喷印微纳金属线圈退火磁感应特性交变磁场