课程文献中心 更多>>

关键词： 深度学习   深度思考   数学核心素养   试题讲评   高三数学   四基   四能   一题多解  

摘要： 讲评课是高三复习教学的重要课型之一,如何提升讲评课的有效性,发挥讲评课的育人功能,是每一位高三数学教师面临的实际问题.深度学习是发展数学核心素养的重要途径,怎样在讲评课中引导学生深度学习,从而夯实四基,提升四能,发展核心素养的目标?文章以一道教材习题改编题的讲评为例,通过展示求解过程,梳理基本知识原理,夯实深度学习根基,以一题多解为深度学习的触发器,用拓广探索促进思维进阶,用逆向提问为深度思考创造契机,开展深度学习视域下的试题讲评实践,旨在与读者交流、探讨.

关键词： 乙型肝炎相关肝癌   肿瘤标志物   凝血4项指标  

摘要： 目的:探究乙型肝炎相关肝癌诊断对分期中肿瘤标志物与凝血4项指标检验作用。方法:选取2022年10月—2023年12月商丘市立医院收治的62例乙型肝炎相关肝癌患者作为观察组,另选取62例健康体检者作为对照组。两组受检者均进行肿瘤标志物与凝血4项指标检验。分析两组受检者相关指标。结果:观察组患者纤维蛋白原(FIB)低于对照组,血浆凝血酶原时间(PT)、凝血酶时间(TT)、活化的部分凝血酶时间(APTT)均高于对照组,差异均有统计学意义(t=13.287、16.050、15.485、26.340,P<0.001)。观察组患者不同巴塞罗那(BCLC)分期中,A期PT、TT、APTT水平较B期、C~D期低,FIB水平较B期、C~D期高,C~D期PT、TT、APTT水平最高,FIB水平最低,差异均有统计学意义(t=26.599、15.971、58.225、45.474,P<0.001)。观察组患者血管内皮生长因子(VEGF)、甲胎蛋白(AFP)、岩藻糖苷酶(AFU)水平均高于对照组,差异均有统计学意义(t=39.823、68.587、34.590,P<0.001)。观察组患者不同BCLC分期中,A期AFP、AFU、VEGF水平均较B期、C~D期低,C~D期肿瘤标志物水平最高,差异均有统计学意义(F=268.404、158.898、75.412,P<0.001)。结论:肿瘤标志物与凝血4项指标均可用于乙型肝炎相关肝癌诊断与分期中检验作用,二者联合使用可提高诊断效能,早期准确诊断出疾病,便于及时进行治疗。

关键词： 干挂石材幕墙   施工效果   性能检验  

摘要： 干挂石材幕墙施工方法在现代建筑工程中有着较为广泛的应用,其比传统湿贴方法有着更强的防火、隔音等功能。为了分析该技术在幕墙工程中的应用效果,文章在简单介绍干挂石材幕墙技术的基础上,以工程案例为研究对象,从石材选择、预埋件安装、石材安装等环节对技术要点进行细致地分析,并且对该技术的应用效果进行检验,以期为同行提供参考和借鉴。

关键词： 麻醉复苏室   全身麻醉   口渴管理   问卷编制   信度   效度  

摘要： 目的编制麻醉复苏室(post anesthesia care unit,PACU)护士对全麻术后患者口渴管理知信行问卷,并对其进行信效度检验。方法本研究基于知信行理论,于2023年7—11月,采用文献回顾法、小组讨论法、半结构式访谈法、专家函询法和预调查构建问卷条目池。2023年12月—2024年1月,采用便利抽样法,对湖北省、湖南省和河南省15所三级甲等医院共398名PACU护士进行调查,并验证问卷信效度。结果最终形成的问卷包括30个条目,共3个维度。问卷整体内容效度指数(S-CVI)为0.952,各条目内容效度指数(I-CVI)为0.850~1.000;通过探索性因子分析,知识、态度、行为维度分别提取2、1、1个公因子,累计方差贡献率分别为82.556%、91.825%、64.332%;问卷整体Cronbach′sα系数、折半信度和重测信度分别为0.947、0.845和0.918。结论本研究编制的问卷信效度良好,可用于评估PACU护士对全麻术后患者口渴管理的知信行水平。

关键词： 独一味   根际土壤   高通量测序   微生物多样性   核心微生物   相关性分析   冗余分析  

摘要： 独一味(Lamiophlomis rotata)是青藏高原特有的重要药用植物,探究独一味根际土壤的理化性质及其微生物群落的组成特点,对于开发和推广青藏高原特色生物资源有着重要价值。以青藏高原5个独一味主产区根际土壤为研究对象,测定土壤理化指标。同时采用高通量测序技术,结合Spearman、RDA等方法开展微生物群落组成及多样性研究。结果表明:1)独一味适宜在中性偏碱的土壤中生长。2)Candidatus_Udaeobacter、RB41属和赤芍铁杆属(Ferruginibacter)是独一味根际土壤中的优势细菌属;被孢霉属(Mortierella)、寡囊盘菌属(Thelebolus)和地霉菌属(Geotrichum)为独一味根际土壤中的优势真菌属。3)不同地区独一味根际土壤细菌和真菌群落的多样性和丰富度存在显著差异(P<0.05):杂多地区土壤细菌群落丰度最高,大武地区土壤细菌群落丰度最低;大武地区土壤真菌群落的多样性最为丰富,歇武地区土壤真菌群落多样性最低。4)有机碳与全氮含量是影响独一味根际土壤微生物群落分布的关键土壤环境因子。5)细菌Candidatus_Udaeobacter、Telmatobacter、Flaviaesturariibacter和真菌Seimatosporium、Ochronectria为独一味根际土壤的关键核心菌群。研究结果为筛选独一味促生或生防有益功能菌提供了理论依据。

关键词： 学业质量标准   初中英语   书面表达   试题命制  

摘要： 学业质量标准是连接课程标准和课程实施与评价的桥梁。依据学业质量标准命制试题须遵循一定的底层逻辑和实践路径。以区域初中各年级期末学业水平考试中的书面表达试题为例,依循明确能力考查点、合理规划试题内容、制定多维细目表、命制期末检测试题等步骤,探讨基于学业质量标准命制书面表达试题的实践过程。

关键词： Sediments  

摘要： Single framboid size and deviation of pyrites in marine sediments or strata have been widely used as a useful proxy to indicate the seawater redox environment. However, our recent data about pyrite framboid size from the modern sediments bearing nature gas hydrate show a tremendous increasing trend in pyrite framboid size within the sulfate-methane transition zone (SMTZ), indicating the anaerobic oxidation of methane (AOM) dominated in SMTZ might play a key role to enhance the enlargement of pyrite framboid size. In case of large methane release caused by dissociation of gas hydrate (so called methane event), the rising SMTZ position would move up to shallow sediment or near seafloor and even into bottom seawater, most likely resulting into some anaerobic and acid environmental changes in bottom seawater. Meanwhile, the enhancing AOM coupled with the methane event will still greatly enlarge the pyrite framboid size in sediments. So in this situation, the traditional critical relationship between the pyrite framboid size and seawater redox environment will be no longer functional and need to be modified. It is proposed that the coupling of average framboid size >20 μ m or core size >12 μ m and deviation >3 μ m might be used as a critical proxy to indicate the environment of marine methane event. © 2025 China University of Geosciences. All rights reserved.

关键词： Convolutional neural networks  

摘要： The Doppler resolution of the orthogonal time frequency space system is low in the integer Doppler model，which is not suitable for the actual communication scenes. Fractional Doppler channel model was considered in the multi‐input multi‐output orthogonal time frequency space（MIMO‐OTFS）modulation system，which can effectively improve the Doppler shift resolution. However，it will produce virtual paths，resulting in inter‐Doppler interference. Therefore，a model‐driven learned denoising‐based approximate message passing（LDAMP）algorithm was studied to estimate the fractional Doppler channel with inter‐Doppler interference. The algorithm is based on denoising‐based approximate message passing（DAMP）algorithm，and constructs an interpretable neural network framework. Denoising convolutional neural network（DnCNN）was chosen to replace the traditional denoiser in DAMP，which can effectively remove the noise by learning the noise features，and then significantly improve the processing performance of subsequent signal. Simulation results show that the model‐driven LDAMP algorithm combines the model advantage of iterative algorithm and the powerful generalization capability of deep learning，and can effectively compensate the performance loss caused by inter‐Doppler interference and achieve higher channel estimation accuracy compared to the traditional algorithm. © 2025 Southeast University. All rights reserved.

关键词： Temperature prediction   Fire temperature   Zone model   Pre-flashover   Heat transfer   Compartment fire  

摘要： This paper presents a model for estimating temperatures in pre-flashover fires where the fire enclosure boundaries are assumed to have lumped heat capacity. That is, thermal inertia is concentrated to one layer with uniform temperature and insulating materials are considered purely by their heat transfer resistance. The model yields a good understanding of the heat balance in a fire enclosure and was used to predict temperatures in insulated and non-insulated steel-bounded enclosures. Comparisons were made with full scale experiments and with other predictive methods, including CFD modeling with FDS and the so called MQH relationship. Input parameter values to the model were then taken from well-known literature and the heat release rates were provided from the experiments. The fire temperature predictions of the model matched very well with experimental data. So did the FDS predictions while the original MQH relationship gave unrealistic results for the problems studied. Major benefits of using the model in comparison with CFD modeling are its readiness and simplicity as well as the negligible computation times needed. An Excel application of the presented pre-flashover fire model is available on request from the author.

关键词： Australia   disasters   expectation gap   fires   political leadership  

摘要： This article uses expectation gap theory to explore news coverage of the leadership performance of a national political leader in a major bushfire disaster in Australia. It does so to identify the types of behaviors and leadership that leader enacted and embodied during these events and what fire-affected communities expected that politician to do in that disaster. Using a case study approach to the Black Summer bushfires that occurred in Australia in late 2019 and early 2020, it highlights the way Australia's Prime Minister Scott Morrison engaged with affected individuals and communities during and after that disaster. We draw on news media coverage as the disaster unfolded and in the months that followed to analyze his leadership and what others expected of him in those events. We find that in this disaster there was a significant gap between the Australian Prime Minister's leadership and community expectations of that leadership. Our article highlights how the expectation gap played out in news coverage of the fires and why the expectation gap matters.