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烯丙雌醇与黄体酮注射液治疗先兆流产的临床疗效分析

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中国实用医药 2024年第12期19卷 22-25页

作者：赵丽云金乡县人民医院 272200

目的分析烯丙雌醇与黄体酮注射液治疗先兆流产的临床疗效。方法 40例先兆流产患者,运用随机数字表法分为对照组和观察组,每组20例。对照组患者使用黄体酮注射液肌内注射,观察组患者使用烯丙雌醇口服。比较两组患者雌二醇、孕酮、人绒... 详细信息

目的分析烯丙雌醇与黄体酮注射液治疗先兆流产的临床疗效。方法 40例先兆流产患者,运用随机数字表法分为对照组和观察组,每组20例。对照组患者使用黄体酮注射液肌内注射,观察组患者使用烯丙雌醇口服。比较两组患者雌二醇、孕酮、人绒毛膜促性腺激素、炎性因子(降钙素原、白细胞介素-6)、临床疗效。结果治疗后,观察组患者的雌二醇(967.19±96.54)pg/ml、孕酮(41.13±4.37)mmol/L、人绒毛膜促性腺激素(99860.24±946.52)mIU/ml与对照组的(768.42±54.64)pg/ml、(33.24±3.28)mmol/L、(64178.07±626.23)mIU/ml比较,居更高水平(P<0.05)。治疗后,观察组患者的降钙素原(58.78±6.01)ng/L、白细胞介素-6(91.21±7.46)pg/ml与对照组的(93.57±9.13)ng/L、(152.42±10.58)pg/ml比较,居更低水平(P<0.05)。观察组治疗总有效率95.00%与对照组的60.00%比较,居更高水平(P<0.05)。结论对于先兆流产患者而言,应用烯丙雌醇能够带来更高的保胎成功率,同时有效调节患者体内激素水平,降低炎性因子,具有较高的推广价值。

关键词：烯丙雌醇黄体酮注射液先兆流产临床疗效

基于RBBLA混合模型的文本相似度计算方法

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陕西科技大学学报 2024年第4期42卷 184-190,198页

作者：任喜伟杜丰怡向启怀李兆允赵杉陕西科技大学电子信息与人工智能学院陕西省人工智能联合实验室陕西西安710021 大唐移动通信设备有限公司西安分公司陕西西安710061

文本相似度计算是两个或多个文本之间相似程度的度量,它被广泛用于多个场景.针对现有研究存在的缺乏上下文交互特征捕获、语义结构信息表示不足等问题,提出一种基于RBBLA(RoBERTa-BiLSTM-Attention)混合模型的文本相似度计算方法,该模... 详细信息

文本相似度计算是两个或多个文本之间相似程度的度量,它被广泛用于多个场景.针对现有研究存在的缺乏上下文交互特征捕获、语义结构信息表示不足等问题,提出一种基于RBBLA(RoBERTa-BiLSTM-Attention)混合模型的文本相似度计算方法,该模型基于RoBERTa模型预训练,获得词语的向量化表示,并提取句子中的语义特征;接着使用双向长短期记忆网络及注意力机制提取上下文依赖关系;最后将两句子的文本特征经聚合操作后由Softmax函数处理得到相似度评分结果.将RBBLA模型与RoBERTa等基准模型在LCQMC数据集上进行对比实验,结果表明,与最优模型相比,RBBLA模型在准确率、精确率等指标上分别提升了2.9、2.1个百分点.

关键词：文本相似度 RoBERTa 双向长短期记忆网络(BiLSTM) 注意力机制

香青兰总黄酮调控TMAO介导的JAK/STAT轴抗大鼠动脉粥样硬化及RAW264.7细胞炎症的研究

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中国药理学通报 2024年第9期40卷 1766-1772页

作者：曹文疆杜春妍黄川生赵云丽马晓莉袁勇王新春石河子大学第一附属医院新疆石河子832008 昌吉回族自治州人民医院新疆昌吉831100

目的探讨香青兰总黄酮(total flavonoids of Dracocephalum Moldavica L.,TFDM)抗大鼠动脉粥样硬化(atherosclerosis,AS)及三甲胺氮氧化物(trimethylamine N-oxide,TMAO)加剧的小鼠巨噬细胞RAW264.7炎症的保护作用及其可能的作用机制。方法采用高脂饲料喂养联合腹腔注射维生素D3的方法建立SD大鼠AS模型,分为对照组、模型组、辛伐他汀组(15 mg·kg^(-1))、TFDM组(60、30、15 mg·kg^(-1)),建模同时进行给药处理,持续8周。生化检测方法检测血清总胆固醇(TC)、甘油三酯(TG)、低密度脂蛋白胆固醇(LDL-C)水平。HE染色检测主动脉组织病理变化,EliSA试剂盒检测血清中TMAO、IL-1β、IL-6及肝脏组织中TNF-α的表达,Western blot法检测主动脉中JAK、STAT、TNF-α蛋白的表达。此外,体外培养RAW264.7巨噬细胞,采用LPS+TMAO建立巨噬细胞炎症模型,TFDM(100、50、25 mg·L^(-1))进行干预。CCK-8测定细胞活力及增殖,RT-qPCR法检测细胞中TNF-α、IL-6、JAK、STAT mRNA的表达。结果TFDM可明显下调大鼠血清TC、TG、LDL-C水平及血清TMAO、IL-1β、IL-6和肝脏TNF-α的水平,减少主动脉的斑块沉积,下调主动脉中TNF-α、JAK、STAT的蛋白表达。此外,TFDM干预可明显下调TNF-α、IL-6、JAK、STAT mRNA的表达及JAK、STAT蛋白的表达。结论TFDM可降低血清中TMAO的含量,从而抑制JAK/STAT炎症信号通路,减缓炎症的发生,发挥抗AS作用。

关键词：香青兰总黄酮动脉粥样硬化肠道菌群氧化三甲胺炎症反应 JAK/STAT信号通路

Status of Serum Uric Acid and Hyperuricemia among Adults in China:China Nutrition and Health Surveillance(2015)

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Biomedical and Environmental Sciences 2022年第10期35卷 911-920页

作者： PIAO Wei BO Ya Cong zhao li yun YU Dong Mei Key Laboratory of Trace Element Nutrition of National Health Commission National Institute of Nutrition and HealthChinese Center for Disease Control and PreventionBeijing 100050China The First Affiliated Hospital of Zhengzhou University Zhengzhou 450000HenanChina

Objective The purpose of this study was to determine the serum uric acid levels and the prevalence of hyperuricemia among Chinese adults in 2015 and compare the differences between urban and rural areas,as well as the differences between eastern,central,and western *** A national representative sample of 180,208 participants were included using a stratified,multistage,and random sampling *** demographic characteristics and blood samples were collected to determine the serum uric acid levels and prevalence of hyperuricemia among subgroups using complicated sampling weight.A t-test or ANOVA was used for normally-distributed *** Kruskal-Wallis rank test was used for skewed-distributed *** Mantel-Haenszel chi-square test was used to compare the difference in categorical *** The weighted mean uric acid level in Chinese adults was 310.4μmol/L(317.5μmol/L in urban areas and 302.9μmol/L in rural areas).The weighted average values of uric acid in eastern,central,and western China were 315.5μmol/L,303.5μmol/L,and 310.4μmol/L,*** weighted prevalence of hyperuricemia in Chinese adults was 14.6%,with a prevalence of 16.5%in urban areas and12.5%in rural *** weighted prevalence of hyperuricemia in eastern,central,and western China was 16.0%,12.5%,and 14.8%,*** The uric acid level in Chinese adults is relatively *** actions are warranted to improve this metabolic abnormality.

关键词： Uric acid Hyperuricemia Adults China

Call for knowledge systematization:An example from lithium ion batteries recycling

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Journal of Energy Chemistry 2024年第7期94卷 169-170页

作者： yun zhao Baohua li Institute of Materials Research Tsinghua Shenzhen International Graduate SchoolTsinghua UniversityShenzhen 518055GuangdongChina

Scientific research is one of the primary ways to drive human civilization *** research institutions and researchers worldwide are dedicated to exploring the unknown,resulting in a flood of research findings[1].For instance,Web of Science alone collects over 10,000 academic papers on a daily *** each research field typically has around 10%of review articles,these mainly focus on a limited portion of the subject,failing to provide a comprehensive and real-time updated *** a result,researchers or students in a particular field may spend several months,or even longer,comprehending the state of research that has developed over just a few *** lack of systematic background often leads to redundant or similar studies,which is highly detrimental to the progress of science and technology.

关键词： lithium typically spend

Probabilistic seismic inversion based on physics-guided deep mixture density network

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Petroleum Science 2024年第3期21卷 1611-1631页

作者： Qian-Hao Sun zhao-yun Zong Xin li National Key Laboratory of Deep Oil and Gas China University of Petroleum(East China)Qingdao266580ShandongChina Laoshan Laboratory Qingdao266580ShandongChina CNOOC Research Institute Ltd. Beijing100028China

Deterministic inversion based on deep learning has been widely utilized in model parameters *** by logging data,seismic data,wavelet and modeling operator,deterministic inversion based on deep learning can establish nonlinear relationships between seismic data and model ***,seismic data lacks low-frequency and contains noise,which increases the non-uniqueness of the *** conventional inversion method based on deep learning can only establish the deterministic relationship between seismic data and parameters,and cannot quantify the uncertainty of *** order to quickly quantify the uncertainty,a physics-guided deep mixture density network(PG-DMDN)is established by combining the mixture density network(MDN)with the deep neural network(DNN).Compared with Bayesian neural network(BNN)and network dropout,PG-DMDN has lower computing cost and shorter training time.A low-frequency model is introduced in the training process of the network to help the network learn the nonlinear relationship between narrowband seismic data and low-frequency *** addition,the block constraints are added to the PG-DMDN framework to improve the horizontal continuity of the inversion *** illustrate the benefits of proposed method,the PG-DMDN is compared with existing semi-supervised inversion *** synthetic data examples of Marmousi II model are utilized to quantify the influence of forward modeling part,low-frequency model,noise and the pseudo-wells number on inversion results,and prove the feasibility and stability of the proposed *** addition,the robustness and generality of the proposed method are verified by the field seismic data.

关键词： Deep learning Probabilistic inversion Physics-guided Deep mixture density network

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高校大类分流系统的实现与应用

计算机技术与发展 2024年第1期34卷 171-176页

作者：任喜伟杜丰怡李兆允侯佳蕾陕西科技大学电子信息与人工智能学院陕西西安710021

随着信息化时代的到来,高校教育教学信息化改革已成为不可避免的趋势。为解决传统高校大类分流、专业分班系统中存在的结果不准、效率不高、操作不便等问题,融合手机端、PC端和服务器端,设计并开发了B/S架构下前后端分离的高校大类分流... 详细信息

随着信息化时代的到来,高校教育教学信息化改革已成为不可避免的趋势。为解决传统高校大类分流、专业分班系统中存在的结果不准、效率不高、操作不便等问题,融合手机端、PC端和服务器端,设计并开发了B/S架构下前后端分离的高校大类分流系统。系统采用Vue框架作为前端技术,SpringBoot和MyBatisPlus框架作为后端技术,同时采用MySQL数据库进行数据存储。系统的实现应用了登录验证、前后端分离、信息加密与数据校验等关键技术,以确保安全性和稳定性。分流过程设计了绩点优先和志愿优先两种核心算法,并提供随机分班、“Z字型”折线分班等多种分班算法选择。系统测试以陕西科技大学电子信息与人工智能学院2021级本科生大类分流、专业分班的数据为案例,应用结果表明:该系统人机交互方便实用,能快速获得准确结果,分流分班效率显著提高,有效地解决了传统高校大类分流、专业分班系统存在的问题,为高校教育教学信息化改革提供了有力的支持。

关键词： Vue Springboot MybatisPlus 大类分流专业分班

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糖尿病足溃疡难愈性创面的相关研究进展

云南民族大学学报（自然科学版） 2024年第3期33卷 325-334,376页

作者：郭瑞彭会珍浦仕彪赵云丽云南中医药大学中药学院云南昆明650500 云南大学自然资源药物化学教育部重点实验室云南省特色植物提取实验室云南省天然产物转化与应用重点实验室药学院云南昆明650500

糖尿病患者的下肢并发症已成为全球日益重视的公共卫生问题,作为其中最为严重的并发症,糖尿病足溃疡的发病率、截肢率及病死率显著,且治疗成本高昂.现阶段由于高糖环境的影响该病病情较为复杂,发病机制尚未完全探明,缺乏精准治疗策略,... 详细信息

糖尿病患者的下肢并发症已成为全球日益重视的公共卫生问题,作为其中最为严重的并发症,糖尿病足溃疡的发病率、截肢率及病死率显著,且治疗成本高昂.现阶段由于高糖环境的影响该病病情较为复杂,发病机制尚未完全探明,缺乏精准治疗策略,还无法彻底攻克这一痼疾.糖尿病足溃疡需要确定病因机制并评估合并症,以提供正确的治疗方法,这是降低下肢截肢风险的关键.综述了糖尿病足溃疡的高威胁因素、发病机制及当前治疗策略的相关研究,为糖尿病患者慢性难愈性皮肤损伤的预防及选择最佳的临床治疗方法提供参考.

关键词：糖尿病足溃疡高威胁因素发病机制治疗手段

Adaptive 5G-and-beyond network-enabled interpretable federated learning enhanced by neuroevolution

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Science China(Information Sciences) 2024年第7期67卷 107-132页

作者： Bin CAO Jianwei zhao Xin liU yun li State Key Laboratory of Reliability and Intelligence of Electrical Equipment Hebei University of Technology School of Artificial Intelligence Hebei University of Technology School of Economics and Management Hebei University of Technology Industrial Artificial Intelligence Centre Shenzhen Institute for Advanced StudyUniversity of Electronic Science and Technology of China

Mobile telemedicine systems based on the next-generation communication will significantly enhance deep fusion of network automation and federated learning(FL), but data privacy is a paramount issue in sectors like healthcare. This work hence considers FL augments 5G-and-beyond networks by training deep learning(DL) models without the need to exchange raw data. The substantial communication loads imposed on by extensive parameters involved in DL models are managed through adaptive scheduling mechanisms effectively. To address the opaque nature of DL models and to improve the interpretability of FL models, we introduce a convolutional fuzzy rough neural network specifically designed for medical image processing. We also develop a multiobjective memetic evolutionary algorithm to streamline and optimize the neural network architectures. Our comprehensive FL framework integrates smart scheduling, interpretable fuzzy rough logic,and neuroevolution. This framework is shown to improve communication efficiency, increase interpretability of diagnosis with protected privacy, and generate low-complexity neural architectures.

关键词： 5G-and-beyond network interpretable federated learning mobile telemedicine system fuzzy rough set theory neuroevolution

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