37 research outputs found

    卷积神经网络模型在儿科疾病预测中的应用

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    目的:针对儿童看病需求量大导致的儿科诊疗服务效率和准确率偏低等问题,利用自然语言处理和深度学习技术,从儿科历史病历数据中自动\"学习\"专家医生诊断模式,形成智能辅助诊断模型,从而对新的儿科病历数据输出疾病诊断决策。结果:基于深度卷积神经网络的七分类疾病智能诊断模型的正确率为84.26%,F1-score为84.33%,基本达到可投入实际应用的级别。结论:智能诊断决策作为预诊信息提供给医生进行确诊参考,对提升医生诊断速度效果明显。国家自然科学基金面上项目(编号:71571056);;福建省自然科学基金面上项目(编号:2012J01274)~

    单层网壳结构初始几何缺陷场模拟方法研究进展

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    单层网壳结构的安全性很大程度上取决于其稳定承载力,而其制作及安装过程中产生的节点几何偏差初始缺陷对其稳定承载力具有重大影响。对单层网壳结构初始几何缺陷场模拟方法的研究进展和现行规范的规定进行了系统综述和分析,结果表明既有的随机性模拟法、确定性模拟法和半随机性模拟法均存在一定问题,规范所推荐的初始缺陷模拟方法脱离实际,因而无法准确确定单层网壳结构稳定承载力的真实概率模型。因此,亟待提出一种考虑结构拓扑约束、基本假定合理、计算成本可控的初始几何缺陷场模拟方法,为完善单层网壳结构整体稳定分析方法提供科学依据,并为分析其稳定可靠度提供理论基础

    单层网壳结构初始几何缺陷场模拟方法研究进展

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    单层网壳结构的安全性很大程度上取决于其稳定承载力,而制作及安装过程中产生的节点几何偏差初始缺陷对其稳定承载力具有重大影响。对单层网壳结构初始几何缺陷场模拟方法的研究进展和现行规范规定进行了系统综述和分析,结果表明既有随机性模拟法、确定性模拟法和半随机性模拟法均存在一定问题,规范所推荐的初始缺陷模拟方法欠实际,从而无法准确确定单层网壳结构稳定承载力的真实概率模型。因此,亟待提出一种考虑结构拓扑约束、基本假定合理、计算代价可控的初始几何缺陷场模拟方法,为单层网壳整体稳定分析方法的完善提供科学依据,并为其稳定可靠度的分析提供理论基础

    Soil Fertility Health and Peanut Yield in Upland Red Soils under Long-term Continuous Application of Pig Manure

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    Soil fertility health is a hot topic in the study of soil health and crop productivity in cultivated land.This study focused on the effects of long-term application of pig manure on soil fertility health indicators,including soil acidity,organic matter and major nutrients.The study was conducted based on a 23-year long-term fertilization experiment (1996-2019) of upland red soil-peanut crop system at the Yingtan Red Soil Ecological Experiment Station,Chinese Academy of Sciences.To analyze the soil fertility constraints,radar plots were used,and the Soil Health Index-Area (SHI-Area) method was employed to evaluate soil health based on soil fertility parameters.The feasibility of the soil fertility health index was further validated by analyzing the data on peanut yields in the 23rd year.The study's findings revealed that the application of pig manure resulted in a significant reduction in soil exchangeable acidity when compared to chemical fertilization.Additionally,the application of pig manure increased the soil pH,organic matter,nitrogen,and phosphorus nutrient contents,ultimately elevating the overall soil health index from 0.70 to 1.20.Furthermore,the study show that the total biomass of peanut plants and the yield of peanut kernels in the plots treated with pig manure were 1.8 and 1.3 times higher,respectively,compared to those treated with chemical fertilizer.In conclusion,the study provides evidence that the long-term application of pig manure is a highly effective method to alleviate the limiting factors of high acidity,low nutrients,and low fertility in upland red soil.This approach leads to a significant improvement in soil fertility and crop yield

    拟南芥钙依赖的蛋白激酶CPK28正向参与渗透胁迫应答反应

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    数据中台框架与实践

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    数据中台将一个机构(企业、事业或政府部门)的数据作为战略资产进行管理,是从数据收集到处理应用的一套管理机制,以期提高数据质量,实现广泛的数据共享,最终实现数据价值最大化。给出数据中台的定义,提出数据中台参考技术框架,并分别对物理管理、逻辑管理、数据资产管理、数据服务和信息安全管理的组成和技术进行了展开讨论。最后以华谱系统建设为例,介绍面向家谱大数据、结合HAO智能模型的数据中台实现——华谱数据中台

    Effect of Electroacupuncture Stimulation of "Huantiao"(GB 30) on Walking Ability and Touch Sensation in Rabbits with Lumbar Intervertebral Disc Protrusion

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    目的:观察电针“环跳“穴对实验性腰椎间盘突出症(lIdP)家兔步态、触觉功能和坐骨神经超微结构的影响,探讨电针对lIdP的修复作用。方法:40只新西兰家兔随机分为正常组、模型组、环跳组和非穴组。采用lIdP动物病理模型造模器将家兔腰6、7的椎间盘组织推出到后纵韧带右前方建立模型。环跳组和非穴组予电针治疗,每次20MIn,每日1次,共7d。神经功能评分法检测家兔治疗前后步态、触觉功能的变化,透射电镜检测坐骨神经超微结构。结果:造模后家兔步态、触觉功能减弱;环跳组的步态、触觉功能治疗前后积分值的差值显著高于正常组、模型组、非穴组(P<0.01)。模型组坐骨神经纤维广泛洋葱状变性,雪旺氏细胞坏死、水肿;环跳组神经纤维大多数趋于正常,雪旺氏细胞丰富;非(组)旺氏细胞线粒体广泛水肿、空泡化。结论:电针“环跳“穴对实验性lIdP的损伤具有很好的修复作用。Objective To observe the effect of electroacupuncture(EA) stimulation of "Huantiao"(GB 30) on the wal-king ability and touch sensation in rabbits with lumbar intervertebral disc protrusion(LIDP).Methods Forty New Zealand rabbits were equally randomized into normal control,model,EA-GB 30 and EA-non-acupoint groups.The LIDP model was established by surgical operation under anesthesia.EA(30 Hz/100 Hz,2-4 V,0.5 ms in pulse duration) was applied to bilateral "Huantiao"(GB 30) or non-acupoint.The rabbits' walking ability was assessed according to a 4-points scoring standard: 0 point: complete paralysis;1 point: paralysis with muscular contraction and mild joint movement;2 points: weaker strength of the affected limbs with bradykinesia and instable walking;3 points: able to walk with only interphalangeal joint dyskinesia;4 points: complete recovery.The rabbit's touch sensation was assessed according to another 4-points scoring standard: 0 point: no any response to cotton swab stimulation;1 point: very mild response;2 points: sluggish response;3 points: relatively swifter response but weaker than the healthy limb;4 points: normal.The ultrostructure changes of the sciatic nerve were analyzed by transmission electron microscope.Results Following modeling,the scores for walking ability and touch sensation were significantly reduced in the model,EA-GB 30 and EA-non-acupoint groups(P<0.01).While compared with the model group,both walking ability score and touch sensation score of the EA-GB 30 group were obviously increased(P<0.01),rather than in the EA-non-acupoint group.Outcomes of the ultrastructure showed that in the model group,extensive onion-like state of the myelin sheath of the sciatic nerve fibers,shrink or disappearance of the axon,kytoplasm edema or lysis of Schwann cells tending to necrosis,and mitochondrium vacuolization of the Schwann cells were found.In the EA-GB 30 group,majority of the nerve fibers and vascular endothelium were normal,with delamination and vacuolization of partial myelin sheath,edema of partial mitochondria and vacuolization of Schwann cells were found.In the EA-non-acupoint group,delamination and twist of partial myelin sheath,Schwann cellular plasma edema and mitochondrial edema of the axon with vacuolization change were found,suggesting a poorer effect of EA of non-acupoint.Conclusion EA-GB 30 can improve LIDP rabbits' walking ability and touch sensation function and reduce ultrastructure of sciatic nerve.国家自然科学基金项目(No.30960484

    “互联”老幼-基于物联网的封闭空间生命安全监测系统

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    鉴于人员被困空间相对封闭的轿车内导致的过热窒息死亡事故,和冬季用煤球取暖导致的一氧化碳中毒死亡事故,以及意外被困冷库内导致失温致死等安全事故的频频发生,此类事故中,老人及幼儿因行动不便和自救能力差,因此数量居多;针对以上问题思考如何运用互联网技术去构建一个类似环境的的安全监测系统,以避免类似安全事故的再次发生;为此研发了一款基于物联网技术、传感器技术、人工智能技术的模块化生命安全监测系统,其通过对封闭环境的温度、湿度及气体成分参数监测,及处于封闭环境中人员的运动特征的监测,分析判断人员生命是否处于安全威胁状态,进而通过远程发出报警,对处于封闭环境生命受到安全威胁的人员进行施救,从而避免同类安全事故的发生。</jats:p

    Fiber-Optic Acoustic Sensor Based on Multi-Layered Graphene Material

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