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大数据赋能的校本教研:价值、模式与实施策略

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教师教育学报 2024年第4期11卷 47-57页

作者：鲁晓燕刘向永江南大学教育学院江苏无锡214122

教研是促进教师专业发展的有效形式。当前教研活动仍然是以经验取向的听评课及集体备课为主,面临着难以形成思维碰撞、难以保证交流深度、难以发现教学真问题等困境。随着大数据、云计算等智能技术迅猛发展,海量的教育大数据产生,这为... 详细信息

教研是促进教师专业发展的有效形式。当前教研活动仍然是以经验取向的听评课及集体备课为主,面临着难以形成思维碰撞、难以保证交流深度、难以发现教学真问题等困境。随着大数据、云计算等智能技术迅猛发展,海量的教育大数据产生,这为当前校本教研转型提供了契机。教师可以更快甚至是实时获取更多元、更完备的教育数据,能够从经验依赖中解脱出来,以丰富的数据资源作为证据支撑,发现教学过程中的问题,并设计个性化的教学方案,进而有效地改进教学实践。因此,构建大数据时代数据赋能的校本教研模式被认为是突破当前教研困境的有效手段。基于此,研究首先肯定了大数据赋能教研的价值所在;其次结合数据赋能优势,考虑在现有技术环境条件下,遵循教研共同体组织—活动行动—活动评价的运行路径,提出了大数据赋能的校本教研模式,模式主要由教研共同体的组织环节、行动环节、评价环节以及外部支持四个部分构成;最后从意识自觉、能力发展、限度把控、体系保障四个方面提出上述模式的实施策略,从而为教师开展数据循证教研活动提供理论指导,推动教研的创新性应用,促进教师实践性知识的发展。

关键词：大数据数据循证教研校本教研教研共同体实施策略实践性知识

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普罗布考联合依达拉奉右莰醇对缺血性脑卒中患者血流动力学及神经功能的影响

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实用心电学杂志 2024年第3期33卷 264-268,273页

作者：梁转栓刘相勇王丹新安县中医院内科河南洛阳471800 河南科技大学第一附属医院心血管科河南洛阳471000 河南科技大学第一附属医院心内科河南洛阳471000

目的探究普罗布考联合依达拉奉右莰醇对缺血性脑卒中(cerebral ischemic stroke,CIS)患者的疗效,及其对脑血流动力学和神经功能的影响。方法回顾性选取82例CIS患者为研究对象,依据不同治疗方案将其分为对照组、观察组,各41例。对照组给... 详细信息

目的探究普罗布考联合依达拉奉右莰醇对缺血性脑卒中(cerebral ischemic stroke,CIS)患者的疗效,及其对脑血流动力学和神经功能的影响。方法回顾性选取82例CIS患者为研究对象,依据不同治疗方案将其分为对照组、观察组,各41例。对照组给予依达拉奉右莰醇,观察组给予依达拉奉右莰醇+普罗布考,均连续治疗14 d。比较两组的临床疗效,美国国立卫生研究院卒中量表(National Institute of Health stroke scale,NIHSS)评分,改良Barthel评分(modified Barthel index,mBI),简易精神状态检查表(mini-mental state examination,MMSE)评分,大脑中动脉平均流速、峰流速对称性差值(difference in symmetry of peak flow velocity,DVp)、平均流速对称性差值(difference in symmetry of average flow velocity,DVm)、峰流速,血清闭合蛋白、高敏C反应蛋白(hs-CRP)、基质金属蛋白酶(matrix metalloproteinase,MMP)-9、网膜素-1及不良反应的发生情况。结果治疗后观察组总有效率高于对照组(92.68%vs.75.61%,P0.05)。结论普罗布考联合依达拉奉右莰醇对CIS疗效确切,可改善患者脑血流动力学,抑制炎症反应,减轻神经功能障碍,且安全性较高。

关键词：普罗布考依达拉奉右莰醇缺血性脑卒中脑血流动力学

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A Levenberg–Marquardt Based Neural Network for Short-Term Load Forecasting

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Computers, Materials & Continua 2023年第4期75卷 1783-1800页

作者： Saqib Ali Shazia Riaz Safoora xiangyong liu Guojun Wang School of Computer Science Guangzhou University Guangzhou510006Guangdong ProvinceChina Department of Computer Science University of AgricultureFaisalabad38000Pakistan Department of Computer Science Government College Women UniversityFaisalabad38000Pakistan

Short-term load forecasting (STLF) is part and parcel of theefficient working of power grid stations. Accurate forecasts help to detect thefault and enhance grid reliability for organizing sufficient energy *** ranges from an hour ahead prediction to a day ahead prediction. Variouselectric load forecasting methods have been used in literature for electricitygeneration planning to meet future load demand. A perfect balance regardinggeneration and utilization is still lacking to avoid extra generation and misusageof electric load. Therefore, this paper utilizes Levenberg–Marquardt(LM) based Artificial Neural Network (ANN) technique to forecast theshort-term electricity load for smart grids in a much better, more precise,and more accurate manner. For proper load forecasting, we take the mostcritical weather parameters along with historical load data in the form of timeseries grouped into seasons, i.e., winter and summer. Further, the presentedmodel deals with each season’s load data by splitting it into weekdays andweekends. The historical load data of three years have been used to forecastweek-ahead and day-ahead load demand after every thirty minutes makingload forecast for a very short period. The proposed model is optimized usingthe Levenberg-Marquardt backpropagation algorithm to achieve results withcomparable statistics. Mean Absolute Percent Error (MAPE), Root MeanSquared Error (RMSE), R2, and R are used to evaluate the model. Comparedwith other recent machine learning-based mechanisms, our model presentsthe best experimental results with MAPE and R2 scores of 1.3 and 0.99,respectively. The results prove that the proposed LM-based ANN modelperforms much better in accuracy and has the lowest error rates as comparedto existing work.

关键词： Short-term load forecasting artificial neural network power generation smart grid Levenberg-Marquardt technique

Distributed and Risk-averse ADP Algorithm for Stochastic Economic Dispatch of Power System with Multiple Offshore Wind Farms

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CSEE Journal of Power and Energy Systems 2024年第5期10卷 1977-1993页

作者： xiangyong Feng Shunjiang Lin Yutao Liang Guansheng Fan Mingbo liu School of Electric Power Engineering South China University of TechnologyGuangzhou 510640China Guangdong Key Laboratory of Clean Energy Technology South China University of TechnologyGuangzhou 511458China Guangzhou Power Supply Bureau Guangdong Power Grid Co.Ltd.Guangzhou 510000China

With more and more offshore wind power being increasingly connected to power grids,fluctuations in offshore wind speeds result in risks of high operation *** mitigate this problem,a risk-averse stochastic economic dispatch(ED)model of power system with multiple offshore wind farms(OWFs)is proposed in this *** this model,a novel GlueVaR method is used to measure the tail risk of the probability distribution of operation *** weighted sum of the expected operation cost and the GlueVaR is used to reflect the risk of operation cost,which can consider different risk requirements including risk aversion and risk neutrality flexibly by adjusting ***,a risk-averse approximate dynamic programming(ADP)algorithm is designed for solving the proposed model,in which multi-period ED problem is decoupled into a series of single-period ED ***,GlueVaR is introduced into the approximate value function training process for risk ***,a distributed and risk-averse ADP algorithm is constructed based on the alternating direction method of multipliers,which can further decouple single-period ED between transmission system and multiple OWFs for ensuring information *** studies on the modified IEEE 39-bus system with an OWF and an actual provincial power system with four OWFs demonstrate correctness and efficiency of the proposed model and algorithm.

关键词： Approximate dynamic programming(ADP) alternating direction method of multipliers GlueVaR offshore wind farm risk-averse stochastic optimization

Erratum to“Gravity-Dependent Animacy Perception in Zebrafish”

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Research 2024年第3期6卷 799-800页

作者： Xiaohan Ma xiangyong Yuan Jiahuan liu Li Shen Yiwen Yu Wen Zhou Zuxiang liu Yi Jiang State Key Laboratory of Brain and Cognitive Science CAS Center for Excellence in Brain Science and Intelligence TechnologyInstitute of PsychologyChinese Academy of SciencesBeijing 100101China University of Chinese Academy of Sciences Beijing 100049China Chinese Institute for Brain Research Beijing 102206China State Key Laboratory of Brain and Cognitive Science Institute of BiophysicsChinese Academy of SciencesBeijing 100101China Institute of Artificial Intelligence Hefei Comprehensive National Science CenterHefei 230088China

In the Research Article“Gravity-Dependent Animacy Perception in Zebrafish”[1],there was an error when calculating the velocity and acceleration of the human and pigeon BM stimuli provided by other researchers in ***... 详细信息

关键词： acceleration finding Zebrafish

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波浪被动补偿装置的模型与实验

哈尔滨工程大学学报 2017年第10期38卷 1518-1524页

作者：刘祥勇徐志强谌志新同济大学机械与能源工程学院上海201804 中国水产科学研究院渔业机械仪器研究所上海200092 中国水产科学研究院农业部远洋渔船与装备重点实验室上海200092

在大型中水层拖网渔船拖曳系统的工作过程中,渔船受海洋环境的影响,会产生显著的升沉运动。本文针对渔船升降降低捕鱼效率的问题,采用一种波浪被动补偿装置的方法,研究了该装置的数学模型并进行仿真分析,设计试验过程,分析试验数据,并... 详细信息

在大型中水层拖网渔船拖曳系统的工作过程中,渔船受海洋环境的影响,会产生显著的升沉运动。本文针对渔船升降降低捕鱼效率的问题,采用一种波浪被动补偿装置的方法,研究了该装置的数学模型并进行仿真分析,设计试验过程,分析试验数据,并与理论分析结果对比发现:钢丝绳的涨紧力和蓄能器的压强跟随油缸位移呈周期变化,油缸的位移与钢丝绳涨紧力、蓄能器压强的变化相反;钢丝绳涨紧力的变化幅度大于蓄能器压强的变化幅度,但位移变化幅度小于50 mm时,涨紧力(<5 N)和压强(<6 Pa)保持稳定;受惯性力的作用,涨紧力变化速度呈现阶段性变化。通过仿真分析可知:蓄能器在平衡位置时的充气压强越大,涨紧力与压强越大;蓄能器的面积越大,涨紧力与压强越小。

关键词：拖曳波浪被动补偿涨紧力压强蓄能器数学模型

Effects of traditional Chinese medicine on treatment outcomes in severe COVID-19 patients:a single-centre study

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Chinese Journal of Natural Medicines 2024年第1期22卷 89-96页

作者： XIAO Yongjiu LI Binbin liu Chang HUANG Xiuyu MA Ling QIAN Zhirong ZHANG Xiaopeng ZHANG Qian LI Dunqing CAI Xiaoqing YAN xiangyong LUO Shuping XIANG Dawei XIAO Kun Emergency Department the 940th Hospital of Jiont Logistics Support Force of Chinese People’s Liberation ArmyLanzhou 730050China Scientific Research Center the Seventh Affiliated HospitalSun Yat-sen UniversityShenzhen 518000China School of Medicine Nankai universityTianjin 300000China Department of Cardiology the 940th Hospital of Joint Logistics Support Force of Chinese People’s Liberation ArmyLanzhou 730050China Department of Radiation Oncology Fujian Medical University Union HospitalFuzhou 350000China Department of Traditional Chinese Medicine the 940th Hospital of Joint Logistics Support Force of Chinese People’s Liberation ArmyLanzhou 730050China Department of Geriatric Diseases the Seventh Medical Center of Chinese PLA General HospitalBeijing 100700China Health and Sport Administration Muskingum UniversityOhioanUSA Laboratory of Vaccine and Antibody Engineering Beijing Institute of BiotechnologyBeijing 100071China Department of Pulmonary and Critical Care Medicine the 940th Hospital of Joint Logistics Support Force of Chinese People’s Liberation ArmyLanzhou 730050China Center of Pulmonary&Critical Care Medicine Chinese People’s Liberation Army(PLA)General HospitalBeijing 100853China

As the search for effective treatments for COVID-19 continues,the high mortality rate among critically ill patients in Intensive Care Units(ICU)presents a profound *** study explores the potential benefits of traditional Chinese medicine(TCM)as a supplementary treatment for severe COVID-19.A total of 110 critically ill COVID-19 patients at the Intensive Care Unit(ICU)of Vulcan Hill Hospital between Feb.,2020,and April,2020(Wuhan,China)participated in this observational *** patients received standard supportive care protocols,with a subset of 81 also receiving TCM as an adjunct *** characteristics during the treatment period and the clinical outcome of each patient were closely monitored and *** findings indicated that the TCM group exhibited a significantly lower mortality rate compared with the non-TCM group(16 of 81 vs 24 of 29;0.3 vs 2.3 person/month).In the adjusted Cox proportional hazards models,TCM treatment was associated with improved survival odds(P<0.001).Furthermore,the analysis also revealed that TCM treatment could partially mitigate inflammatory responses,as evidenced by the reduced levels of proinflammatory cytokines,and contribute to the recovery of multiple organic functions,thereby potentially increasing the survival rate of critically ill COVID-19 patients.

关键词： COVID-19 Pneumonia Novel coronavirus Critically ill Traditional Chinese medicine Clinical outcome

义务教育学校电子书包应用状况调查研究——以长三角地区为例

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电化教育研究 2017年第4期38卷 98-102页

作者：刘向永王萍江南大学教育信息化研究中心江苏无锡214122

电子书包已成为当前信息技术与教育深度融合的一大着力点。为了了解义务教育学校电子书包应用状况,笔者以长三角地区为例,通过问卷调查法与访谈法,对470位学生和53位教师进行了电子书包应用状况的调查研究。调查数据显示,学校应用电子... 详细信息

电子书包已成为当前信息技术与教育深度融合的一大着力点。为了了解义务教育学校电子书包应用状况,笔者以长三角地区为例,通过问卷调查法与访谈法,对470位学生和53位教师进行了电子书包应用状况的调查研究。调查数据显示,学校应用电子书包存在教学应用频率普遍不高,软件功能应用深度不足,教师和学生对电子书包功能应用情况具有一定差异,应用缺乏完善的配套体系等问题。对此,建议以系统观点推进电子书包应用建设,自带设备(BYOD)引领常态化应用,连通家校构筑泛在学习生态,创新推广的区域应用推进策略。

关键词：电子书包长三角应用状况义务教育

BDNF通过Akt信号通路减轻罗哌卡因诱导的神经细胞损伤

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中华神经医学杂志 2020年第2期19卷 154-163页

作者：朱于临刘晶影刘向勇烟台山医院麻醉科烟台264001 烟台山医院产科烟台264001 滨州医学院药学院烟台264003

目的探讨脑源性神经营养因子(BDNF)对罗哌卡因诱导的神经细胞损伤的保护作用及其机制。方法(1)实验一:分别用0、1、2、3、4、5 mmol/L罗哌卡因刺激人神经母细胞瘤细胞SH-SY5Y 48 h,于显微镜下观察各组细胞的形态变化,采用噻唑蓝(MTT)法... 详细信息

目的探讨脑源性神经营养因子(BDNF)对罗哌卡因诱导的神经细胞损伤的保护作用及其机制。方法(1)实验一:分别用0、1、2、3、4、5 mmol/L罗哌卡因刺激人神经母细胞瘤细胞SH-SY5Y 48 h,于显微镜下观察各组细胞的形态变化,采用噻唑蓝(MTT)法检测各组细胞的活性情况,采用流式细胞术检测各组细胞的凋亡情况,采用免疫组化染色检测各组细胞中蛋白激酶B(Akt)、增殖细胞核抗原(PCNA)阳性细胞的表达。(2)实验二:分别用0、1、3、5、7 mmol/L罗哌卡因刺激SH-SY5Y细胞48 h,采用MTT法检测各组细胞的活性情况并计算出罗哌卡因的半抑制浓度(IC50)。将SH-SY5Y细胞分为对照组(磷酸盐缓冲液刺激48 h)、罗哌卡因组(IC50浓度罗哌卡因刺激48 h)、BDNF+罗哌卡因组(20μg/L BDNF刺激2 h+IC50浓度罗哌卡因刺激48 h)、Akt信号通路激活剂SC79+罗哌卡因组(5 mg/L SC79刺激2 h+IC50浓度罗哌卡因刺激48 h)、BDNF+Akt信号通路抑制剂API-2+罗哌卡因组(20μg/L BDNF及10μmol/L API-2刺激2 h+IC50浓度罗哌卡因刺激48 h),于显微镜下观察各组细胞的形态变化,采用MTT法检测各组细胞的活性情况,采用流式细胞术检测各组细胞的凋亡情况,采用免疫组化染色检测各组细胞中Akt、PCNA阳性细胞的表达,采用逆转录-聚合酶链反应(RT-PCR)及Western blotting检测各组细胞中B淋巴细胞瘤-2(Bcl-2)、Bcl-2相关X蛋白(Bax)、半胱氨酸蛋白酶-3(Caspase-3)mRNA及蛋白的表达,采用Western blotting检测各组细胞中Akt、磷脂酰肌醇3-激酶(PI3K)蛋白的表达。结果(1)实验一:与0 mmol/L罗哌卡因组比较,1、2、3、4、5 mmol/L罗哌卡因组的细胞活性明显降低,细胞凋亡率明显升高,Akt、PCNA阳性细胞数明显降低,差异均有统计学意义(P<0.05)。(2)实验二:与对照组比较,罗哌卡因组的细胞活性明显降低,细胞凋亡率明显升高,Akt、PCNA阳性细胞数明显降低,Bcl-2 mRNA及蛋白的表达均明显降低,Bax、Caspase-3 mRNA及蛋白的表达均明显升高,p-Akt、p-PI3K蛋白的表达均明显降低,差异均有统计学意义(P<0.05)。与罗哌卡因组比较,BDNF+罗哌卡因组、SC79+罗哌卡因组的细胞活性明显升高,细胞凋亡率明显降低,Akt、PCNA阳性细胞数明显升高,Bcl-2 mRNA及蛋白的表达明显升高,Bax、Caspase-3 mRNA及蛋白的表达明显降低,p-Akt、p-PI3K蛋白的表达明显升高,差异均有统计学意义(P<0.05)。与BDNF+罗哌卡因组、SC79+罗哌卡因组比较,BDNF+API-2+罗哌卡因组的细胞活性明显降低,细胞凋亡率明显升高,Akt、PCNA阳性细胞数明显降低,Bcl-2 mRNA及蛋白的表达明显降低,Bax、Caspase-3 mRNA及蛋白的表达明显升高,p-Akt、p-PI3K蛋白的表达明显降低,差异均有统计学意义(P<0.05)。结论BDNF可通过激活Akt信号通路减轻罗哌卡因引起的神经细胞损伤,从而调节神经细胞的增殖和凋亡。

关键词：脑源性神经营养因子罗哌卡因蛋白激酶B 神经细胞