Clinical Observation of the Hot and Humid Compress Therapy of Traditional Chinese Medicine in the Treatment of Qi Stagnation and Blood Stasis Type of Lumbar Disc Herniation

Background: Although a number of studies have reported that the hot and humid compress from traditional Chinese medicine (TCM) is effective in treating lumbar disc herniation (LDH) with qi stagnation and blood stasis, clinical evidence is limited. Objective: The purpose of this study is to provide high-quality evidence to support the effectiveness of the traditional Chinese hot and humid compress in the treatment of LDH with qi stagnation and blood stasis. Methods: From October 2021 to November 2023, 86 patients with LDH of qi stagnation and blood stasis type were recruited in our hospital and divided into a control (n = 43) and an observation group (n = 43) according to the random number table method. The control group was given routine clinical treatment, and the observation group was treated with the hot and humid compress therapy for two weeks. The visual analogue scale (VAS) score, Japanese Orthopaedic Association (JOA) score, TCM syndrome score, serum interleukin-6 (IL-6), serum interleukin-1β (IL-1β), and tumor necrosis factor-α (TNF-α) were observed and compared between the two groups before and after treatment, and the clinical efficacy of the two groups was evaluated. Results: After treatment, the VAS score, TCM symptom score, and serum IL-6, IL-1β, and TNF-α levels decreased in both groups (P P P P P Conclusions: The hot and humid compress of traditional Chinese medicine can effectively relieve pain, restore lumbar function, improve TCM syndromes, reduce the level of inflammatory factors, and have a curative effect in treating LDH.

Understanding the Relationship Between Shrinking Cities and Land Prices:Spatial Pattern,Effectiveness,and Policy Implications

Urban shrinkage has emerged as a widespread phenomenon globally and has a significant impact on land,particularly in terms of land use and price.This study focuses on 2851 county-level cities in China in 2005–2018(excluding Hong Kong,Macao,Taiwan,and‘no data’areas in Qinhai-Tibet Plateau)as the fundamental units of analysis.By employing nighttime light(NTL)data to identify shrinking cities,the propensity score matching(PSM)model was used to quantitatively examine the impact of shrinking cities on land prices,and evaluate the magnitude of this influence.The findings demonstrate the following:1)there were 613 shrinking cities in China,with moderate shrinkage being the most prevalent and severe shrinkage being the least.2)Regional disparities are evident in the spatial distribution of shrinking cities,especially in areas with diverse terrain.3)The spatial pattern of land price exhibits a significant correlated to the economic and administrative levels.4)Shrinking cities significantly negatively impact on the overall land price(ATT=–0.1241,P<0.05).However,the extent of the effect varies significantly among different spatial regions.This study contributes novel insights into the investigation of land prices and shrinking cities,ultimately serving as a foundation for government efforts to promote the sustainable development of urban areas.

Loss of SHROOM3 affects neuroepithelial cell shape through regulating cytoskeleton proteins in cynomolgus monkey organoids

Neural tube defects(NTDs)are severe congenital neurodevelopmental disorders arising from incomplete neural tube closure.Although folate supplementation has been shown to mitigate the incidence of NTDs,some cases,often attributable to genetic factors,remain unpreventable.The SHROOM3 gene has been implicated in NTD cases that are unresponsive to folate supplementation;at present,however,the underlying mechanism remains unclear.Neural tube morphogenesis is a complex process involving the folding of the planar epithelium of the neural plate.To determine the role of SHROOM3 in early developmental morphogenesis,we established a neuroepithelial organoid culture system derived from cynomolgus monkeys to closely mimic the in vivo neural plate phase.Loss of SHROOM3 resulted in shorter neuroepithelial cells and smaller nuclei.These morphological changes were attributed to the insufficient recruitment of cytoskeletal proteins,namely fibrous actin(F-actin),myosin II,and phospho-myosin light chain(PMLC),to the apical side of the neuroepithelial cells.Notably,these defects were not rescued by folate supplementation.RNA sequencing revealed that differentially expressed genes were enriched in biological processes associated with cellular and organ morphogenesis.In summary,we established an authentic in vitro system to study NTDs and identified a novel mechanism for NTDs that are unresponsive to folate supplementation.

Potential evaluation of saline aquifers for the geological storage of carbon dioxide: A case study of saline aquifers in the Qian-5 member in northeastern Ordos Basin

The well-developed coal electricity generation and coal chemical industries have led to huge carbon dioxide(CO_(2))emissions in the northeastern Ordos Basin.The geological storage of CO_(2) in saline aquifers is an effective backup way to achieve carbon neutrality.In this case,the potential of saline aquifers for CO_(2) storage serves as a critical basis for subsequent geological storage project.This study calculated the technical control capacities of CO_(2) of the saline aquifers in the fifth member of the Shiqianfeng Formation(the Qian-5 member)based on the statistical analysis of the logging and the drilling and core data from more than 200 wells in the northeastern Ordos Basin,as well as the sedimentary facies,formation lithology,and saline aquifer development patterns of the Qian-5 member.The results show that(1)the reservoirs of saline aquifers in the Qian-5 member,which comprise distributary channel sand bodies of deltaic plains,feature low porosities and permeabilities;(2)The study area hosts three NNE-directed saline aquifer zones,where saline aquifers generally have a single-layer thickness of 3‒8 m and a cumulative thickness of 8‒24 m;(3)The saline aquifers of the Qian-5 member have a total technical control capacity of CO_(2) of 119.25×10^(6) t.With the largest scale and the highest technical control capacity(accounting for 61%of the total technical control capacity),the Jinjie-Yulin saline aquifer zone is an important prospect area for the geological storage of CO_(2) in the saline aquifers of the Qian-5 member in the study area.

Liquid metal in prohibiting polysulfides shuttling in metal sulfides anode for sodium-ion batteries

Metal sulfides are a class of promising anode materials for sodium-ion batteries(SIBs)owing to their high theoretical specific capacity.Nevertheless,the reactant products(polysulfides)could dissolve into electrolyte,shuttle across separator,and react with sodium anode,leading to severe capacity loss and safety concerns.Herein,for the first time,gallium(Ga)-based liquid metal(LM)alloy is incorporated with MoS_(2)nanosheets to work as an anode in SIBs.The electron-rich,ultrahigh electrical conductivity,and self-healing properties of LM endow the heterostructured MoS_(2)-LM with highly improved conductivity and electrode integrity.Moreover,LM is demonstrated to have excellent capability for the adsorption of polysulfides(e.g.,Na_(2)S,Na_(2)S_(6),and S_(8))and subsequent catalytic conversion of Na_(2)S.Consequently,the MoS_(2)-LM electrode exhibits superior ion diffusion kinetics and long cycling performance in SIBs and even in lithium/potassium-ion battery(LIB/PIB)systems,far better than those electrodes with conventional binders(polyvinylidene difluoride(PVDF)and sodium carboxymethyl cellulose(CMC)).This work provides a unique material design concept based on Ga-based liquid metal alloy for metal sulfide anodes in rechargeable battery systems and beyond.

Differences in and factors controlling organic matter enrichment in the Ziliujing Formation shale in the Sichuan Basin

Lacustrine shale oil and gas are important fields for unconventional exploration and development in China,and organic-rich shale deposition lays down the critical foundation for hydrocarbon generation.There are two sets of shale,the Dongyuemiao and Da’anzhai Members,in the Ziliujing Formation in the Sichuan Basin.To identify the differential enrichment characteristics of organic matter and clarify its controlling factors,geochemical analyses of organic and inorganic geochemical analyses were performed.The results showed that the total organic carbon content of the Dongyuemiao shale(1.36%)is slightly higher than that of the Da’anzhai shale(0.95%).The enrichment of organic matter in the two shales resulted from the comprehensive controls of paleoproductivity,paleoenvironment,and terrigenous input,but different factors have different effects.In addition,driven by climate,the change in the sulfate concentration in the bottom water further led to the different intensities of bacterial sulfate reduction in early diagenesis.This made a great difference regarding organic matter accumulation in the two members.In general,climate may have played a dominant role in organic matter enrichment in the two sets of shale.

Prediction and scheduling of multi-energy microgrid based on BiGRU self-attention mechanism and LQPSO

To predict renewable energy sources such as solar power in microgrids more accurately,a hybrid power prediction method is presented in this paper.First,the self-attention mechanism is introduced based on a bidirectional gated recurrent neural network(BiGRU)to explore the time-series characteristics of solar power output and consider the influence of different time nodes on the prediction results.Subsequently,an improved quantum particle swarm optimization(QPSO)algorithm is proposed to optimize the hyperparameters of the combined prediction model.The final proposed LQPSO-BiGRU-self-attention hybrid model can predict solar power more effectively.In addition,considering the coordinated utilization of various energy sources such as electricity,hydrogen,and renewable energy,a multi-objective optimization model that considers both economic and environmental costs was constructed.A two-stage adaptive multi-objective quantum particle swarm optimization algorithm aided by a Lévy flight,named MO-LQPSO,was proposed for the comprehensive optimal scheduling of a multi-energy microgrid system.This algorithm effectively balances the global and local search capabilities and enhances the solution of complex nonlinear problems.The effectiveness and superiority of the proposed scheme are verified through comparative simulations.

Deep Learning and Tensor-Based Multiple Clustering Approaches for Cyber-Physical-Social Applications

The study delves into the expanding role of network platforms in our daily lives, encompassing various mediums like blogs, forums, online chats, and prominent social media platforms such as Facebook, Twitter, and Instagram. While these platforms offer avenues for self-expression and community support, they concurrently harbor negative impacts, fostering antisocial behaviors like phishing, impersonation, hate speech, cyberbullying, cyberstalking, cyberterrorism, fake news propagation, spamming, and fraud. Notably, individuals also leverage these platforms to connect with authorities and seek aid during disasters. The overarching objective of this research is to address the dual nature of network platforms by proposing innovative methodologies aimed at enhancing their positive aspects and mitigating their negative repercussions. To achieve this, the study introduces a weight learning method grounded in multi-linear attribute ranking. This approach serves to evaluate the significance of attribute combinations across all feature spaces. Additionally, a novel clustering method based on tensors is proposed to elevate the quality of clustering while effectively distinguishing selected features. The methodology incorporates a weighted average similarity matrix and optionally integrates weighted Euclidean distance, contributing to a more nuanced understanding of attribute importance. The analysis of the proposed methods yields significant findings. The weight learning method proves instrumental in discerning the importance of attribute combinations, shedding light on key aspects within feature spaces. Simultaneously, the clustering method based on tensors exhibits improved efficacy in enhancing clustering quality and feature distinction. This not only advances our understanding of attribute importance but also paves the way for more nuanced data analysis methodologies. In conclusion, this research underscores the pivotal role of network platforms in contemporary society, emphasizing their potential for both positive contributions and adverse consequences. The proposed methodologies offer novel approaches to address these dualities, providing a foundation for future research and practical applications. Ultimately, this study contributes to the ongoing discourse on optimizing the utility of network platforms while minimizing their negative impacts.

Wild pink bayberry free phenolic extract induces mitochondria-dependent apoptosis and G0/G1 cell cycle arrest through p38/MAPK and PI3K/Akt pathway in MDA-MB-231 cancer cells

Polyphenol-rich foods have been shown to be good for cancer prevention as powerful antioxidants. In this study, the mechanisms of wild pink bayberry free phenolic extract(WPBFE)inhibiting the proliferation and inducing apoptotic of MDA-MB-231 breast cancer cells was examined. The main phenolic acids and flavonols in WPBFE were gallic acid((18.83 ± 0.44)μg/g FW)and myricetin((1.52 ± 0.05)μg/g FW), respectively. The maximum inhibition rate of WPBFE at non-cytotoxicity dose(below 80 mg/mL)was 81%. Western blotting analysis showed that WPBFE could cause the arrest of cell cycle in G0/G1 phase by down-regulating expression levels of PCNA, CDK4, cyclin D1 and up-regulating the expression level of p21. Meanwhile, WPBFE induced apoptosis through initiating the mitochondrial death pathway by up-regulating cleaved caspase-3 and enhancing the ratio of Bax/Bcl-2, with the maximum expression levels of 1.29 and 2.03 folds that of control group, respectively. Further study of the upstream protein, we found that WPBFE down-regulated TRAF2, while upregulated p-ASK1, p-p38 and p-p53. Furthermore, WPBFE could down-regulate the expression of p-PI3K and p-Akt. These observations indicated that WPBFE might play an anticancer role through regulating the p38 MAPK together with PI3K/Akt pathway.

Aberrant expression of COL4A1 in age-related cataract and its effect on cell proliferation,apoptosis and gene expression changes

AIM:To evaluate the regulation of the aberrant expression of collagen typeⅣalpha 1 chain(COL4A1)in the development of age-related cataract(ARC).METHODS:Quantitative reverse transcription-polymerase chain reaction(qRT-PCR)and Western blot analysis were employed to evaluate the expression of COL4A1 in ARC patients and healthy controls.The proliferation,apoptosis,cell cycle and epithelial-mesenchymal transition(EMT)of human lens epithelial cell(HLE-B3)were further analyzed under the condition of COL4A1 gene silence.Alteration of gene expression at mRNA level after knockdown COL4A1 were also evaluated by qRT-PCR on HLE-B3 cells.RESULTS:The aberrant expression of COL4A1 was identified a clinically associated with the ARC.Silencing of COL4A1 promoted the apoptosis and inhibited the proliferation of HLE-B3 by blocking the cell cycle.Moreover,COL4A1 gene silence didn’t affect the cytoskeleton of HLE-B3 but down-regulated the Collagen typeⅣAlpha 2 Chain(COL4A2),paired box 6(PAX6),procollagen-lysine 2-oxoglutarate 5-dioxygenases 1(PLOD1)and procollagenlysine 2-oxoglutarate 5-dioxygenases 2(PLOD2)expression levels in HLE-B3 cells.Silencing the COL4A1 gene induced EMT of the HLE-B3 cells by promoting the transforming growth factor beta(TGF-β)expression.CONCLUSION:Silencing of COL4A1 induces S-phase arrest,also inhibits the proliferation and enhance HLE-B3 apoptosis and EMT,and down-regulates the expression of COL4A2,PAX6,PLOD1 and PLOD2.Thus,the expression alteration of COL4A1 may play a critical role in the pathogenesis of ARC.

Establishment of organoid models for pancreatic ductal adenocarcinoma and screening of individualized therapy strategy

Background:Patients with pancreatic ductal adenocarcinoma(PDAC)who undergo surgical resection and receive effective chemotherapy have the best chance for longterm survival.Unfortunately,because of the heterogeneity of pancreatic cancer,it is difficult to find a personalized treatment strategy for patients.Organoids are ideal preclinical models for personalized medicine.Therefore,we explore the cultivation conditions and construction methods of PDAC organoid models to screen the individualized therapy strategy.Methods:Fresh PDAC tissues from surgical resection were collected and digested with digestive enzymes;then the tumor cells were embedded in Matrigel with a suitable medium to establish the PDAC organoid models.The genetic stability of the organoids was analyzed using whole exon sequencing;hematoxylin and eosin staining and immunohistochemistry of organoids were performed to analyze their consistency with the pathological morphology of the patient's tumor tissue;After 2 days of organoid culture,we selected four commonly used clinical chemotherapy drugs for single or combined treatment to analyze drug sensitivity.Results:Two cases of PDAC organoid models were successfully established,and the results of their pathological characteristics and exome sequencing were consistent with those of the patient's tumor tissue.Both PDAC organoids showed more sensitivity to gemcitabine and cisplatin,and the combined treatment was more effective than monotherapy.Conclusion:Both organoids better retained the pathological characteristics,genomic stability,and heterogeneity with the original tumor.Individual PDAC organoids exhibited different sensitivities to the same drugs.Thus,this study provided ideal experimental models for screening individualized therapy strategy for patients with PDAC.

Bioinformatics and in vitro study reveal the roles of microRNA-346 in high glucose-induced human retinal pigment epithelial cell damage

AIM:To study microRNAs(miRNAs)and their potential effects in high glucose-induced human retinal pigment epithelial cell damage.METHODS:We screened the GSE52233 miRNA expression dataset for differentially expressed miRNAs(DEMs).The target genes of the top 10 DEMs were predicted using miRWalk 2.0 database,followed by function enrichment and protein-protein interaction analysis.miRNA expression was determined in the human retinal pigment epithelial cell line ARPE-19 treated with high glucose(HG)by quantitative reverse transcription-polymerase chain reaction(qRT-PCR).Cell proliferation was determined using cell counting kit(CCK)-8 assay.Cell cycle,apoptosis,and reactive oxygen species(ROS)levels were determined by flow cytometry.The direct interaction between miRNA and targets was validated using dual-luciferase reporter assay.RESULTS:Thirty-nine DEMs were screened,and we predicted 125 miRNA-mRNA pairs for the top 10 DEMs,including 119 target genes of seven DEMs such as miR-346,which was upregulated in diabetic retinopathy(DR).miR-346 target genes were substantially enriched in the regulation of intracellular transport and retinoic acidinducible gene I(RIG-I)-like receptor signaling pathway.Expression of three upregulated and downregulated miRNAs were verified by qRT-PCR in HG-treated ARPE-19 cells.Expression of miR-346 was elevated in HG treated ARPE-19 cells in a dose-dependent manner.HG inhibited cell proliferation and induced apoptosis,which were partly reversed by transfecting an miR-346 inhibitor,which even decreased the ROS levels elevated due to HG.Argonaute 2(AGO2)was a target of miR-346.CONCLUSION:miR-346 is a key miRNA and plays an important role in HG-induced damage in human retinal pigment epithelial cells.

Correlations among core species corresponding to the clinical staging of periodontitis

The correlation between microbiota plays a vital role in the progression of periodontal disease.This study investigated the in situ interaction networks between periodontal pathogens in periodontal and peri-implant disease.We used quantitative real-time polymerase chain reaction and Pearson’s correlation coefficients to quantify the copy numbers and correlations of four oral core species—Fusobacterium nucleatum,Porphyromonas gingivalis,Prevotella intermedia,and Streptococcus gordonii—from 80 subgingival sites(healthy and with periodontitis or gingivitis)in patients with periodontitis,and 68 subgingival sites(healthy and with periodontitis,gingivitis,peri-implantitis,or peri-implant mucositis)in patients with implants.The highest bacterial counts were observed for Porphyromonas gingivalis and Prevotella intermedia at all the sites.Within the same cohorts,the bacterial loads were greater at diseased sites than at healthy sites.Bacterial counts did not differ among clinical sites in the same group(P>0.05)but differed between periodontitis and peri-implant mucositis sites in the two groups.Porphyromonas gingivalis,F.nucleatum,and Prevotella intermedia had strong correlations at gingivitis and healthy sites and moderate correlations at periodontitis sites in patients with periodontitis.In patients with implants,Prevotella intermedia,F.nucleatum,and S.gordonii had strong correlations only at peri-implantitis sites.Also,based on metagenomic analysis,F.nucleatum and Prevotella intermedia were significantly correlated at the subgingival plaque in peri-implantitis and periodontitis samples.Our results suggest that variations in microbe-microbe interactions in subgingival plaque reflect changes in the progression of periodontal disease,providing a new perspective for understanding the mechanisms of periodontitis and peri-implantitis.

糯小麦“山农糯麦1号”籽粒及淀粉品质分析

为更好地了解糯小麦的品种特性,以山东省第一个审定的高产糯小麦“山农糯麦1号”为材料,研究其籽粒和淀粉特性。结果发现:该品种几乎不含直链淀粉(仅0.1%),较普通小麦具有较高的蛋白质含量(16.4%)和面粉白度(81.2%)。扫描电镜观察淀粉粒度分布不均匀,A型淀粉颗粒较多。快速粘度分析(RVA)测定表明淀粉具有较低的糊化温度,较短的糊化时间,较低的峰值黏度、最终粘度和回生值。加工时面团吸水率明显较高,形成时间大于稳定时间。这些结果将为山农糯麦1号适于用作配粉和加工食品提供参考依据。

骨质疏松性骨折病人症状评估量表的构建

目的:构建骨质疏松性骨折病人症状评估量表,为骨质疏松性骨折病人的症状评估与管理提供科学依据。方法:通过文献回顾、半结构式访谈及德尔菲专家函询法,构建骨质疏松性骨折病人症状评估量表。结果:共进行了2轮专家函询,问卷的有效回收率均为100%,专家权威系数为0.91。第1轮、第2轮肯德尔和谐系数分别为0.130~0.249和0.163~0.344。构建的骨质疏松性骨折症状评估量表包括4个维度(特异性症状、一般生理症状、治疗及并发症相关症状、心理症状),共31个症状条目。结论:构建的骨质疏松性骨折病人症状评估量表具有较高的权威性和科学性,可作为骨质疏松性骨折病人症状评估工具,为个性化的症状管理提供依据。

基于粗糙分析的大学英语考试质量提升路径

大学英语考试是检验大学英语教学质量和效果的有效手段。将粗糙集理论应用于大学英语考试命题,基于粗糙集的相对正域、冗余属性和属性重要度等概念,给出试题冗余性的定性判别方法,提出试题重要度的定量度量方法,建立基于粗糙分析的大学英语考试质量提升模型。实验结果表明,新型方法发现并修正了部分冗余和重要度较低的试题,有效提高了试卷命题质量,对指导大学英语教学工作、提升教学质量具有重要指导意义。

脑脊液中肺癌循环肿瘤标志物表达水平的影响因素分析

目的:分析不同肺癌肿瘤标志物(tumor marker,TM)在脑脊液中正常表达水平,探讨血清TM水平、合并脑实质转移对其影响,从而更准确地判断可疑脑膜转移患者脑脊液TM是否升高。方法:收集2015年1月至2024年2月就诊于天津医科大学肿瘤医院80例无脑膜转移患者临床资料(非肺癌16例,肺癌64例),分析各TM在非肺癌患者脑脊液中正常的表达水平,以及脑脊液与血清中TM水平的差异;分析血清TM与脑脊液中TM水平的相关性;比较合并脑实质转移组与无脑实质转移组之间脑脊液中TM水平的差异。结果:组织多肽特异抗原(TPSA)、癌类抗原19-9 (CA19-9)、癌胚抗原(CEA)、细胞角蛋白19片段(Cyfra21-1)及鳞状细胞癌抗原(SCC)在脑脊液中的正常表达水平低于血清中水平(P<0.05),但胃泌素释放肽前体(ProGRP)、神经元特异烯化醇酶(NSE)在脑脊液中的表达水平高于血清中水平(P<0.05)。TPSA、SCC、ProGRP、NSE、CEA、CA199和Cyfra21-1在脑脊液中的水平与血清中的水平均无显著相关(均P>0.05)。与无脑实质转移患者相比,合并脑实质转移患者脑脊液中TPSA、SCC、ProGRP、CA19-9水平均无明显升高(P>0.05);CEA、Cyfra21-1虽然升高(P<0.05),但中位值升高不足2倍且均在参考值范围内,而NSE在合并脑实质转移组中的水平低于无脑实质转移组。结论:ProGRP及NSE在正常脑脊液中基础水平明显高于血清中的水平,其余肿瘤标志物在脑脊液中表达水平则明显低于血清中水平;血清中肿瘤标志物水平升高与否,以及是否合并脑实质转移并不会对脑脊液中肿瘤标志物水平产生具有临床意义的影响。

不同天气尺度强迫下陕西暴雨的成因对比

选取常规高空观测资料、地面加密观测资料和ERA5(0.25°×0.25°)再分析资料,对2020年8月4—7日陕西持续性暴雨过程进行诊断分析,并探讨了暴雨发生发展的物理机制。结果表明:暴雨过程分为两个阶段,分别是5日陕北区域暴雨和7日陕西中南部暴雨,二者的环流背景差异显著;5日暴雨的主要影响天气系统是高空槽、低空急流和低涡,中低层急流强且维持时间长,系统涡度大、辐合强,天气尺度强迫强;7日暴雨的主要影响天气系统是短波槽和低层切变,中低层大气风速小,系统涡度小,辐合相对弱,天气尺度强迫较弱。4—5日中低层大气水汽输送强,水汽输送较气候态偏大3~4σ;700 hPa西南急流和850 hPa东南急流给陕北带来充沛的水汽,中低层大气存在明显低涡,大气湿斜压性强,同时低涡南侧有明显锋生,次级环流增强上升运动,水汽在低涡中心及右侧强烈辐合抬升,强降水得以维持;800~700 hPa存在条件对称不稳定,进一步增强上升运动,异常充沛的水汽供应和偏强的低涡造成持续的上升运动是本阶段产生极端大暴雨的主要原因。6—7日陕西中南部水汽输送较弱,水汽辐合强度较小,但本地可降水量大;暴雨区为暖湿大气控制,对流不稳定较强,对流有效位能大,切变线辐合抬升触发对流,降水对流性更强;本阶段强降水较为分散,但雨强大且持续时间短,与地形关系密切。

能力导向的混合式Python教学阶段性问题的设计与实施

针对大学生编程与应用实践能力培养的问题,以Python语言程序设计课程教学为例,基于Educoder等多个在线学习系统,提出能力为导向的混合式Python教学阶段性问题设计方法,介绍课前、课中与课后三个阶段的具体问题设计过程,以期为计算机程序设计类课程的教学设计提供借鉴。最后,以湖南科技大学数据科学与大数据技术等专业的教学实践为例,说明对大学生编程与应用实践能力培养的有效性。

具有四陷波特性的小型化超宽带天线设计

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