A Study on the Educational Mode and Optimization Strategies of“Micro Ideological and Political Education”

The model of“micro ideological and political education”is adapted to the characteristics of the new era and the real needs of ideological and political education in colleges and universities.Based on the work of“micro ideological and political education”in colleges and universities under the development of all-media integration,this study summarizes the main practices,achievements,and problems of“micro ideological and political education”in colleges and universities,and proposes to optimize and improve the work of“micro ideological and political education”from the perspectives of platform construction,work creation,team building,and guarantee mechanism.Optimization and enhancement are needed to effectively improve the relevance and effectiveness of“micro ideological and political education”work.

Political Optimizer with Deep Learning-Enabled Tongue Color Image Analysis Model

Biomedical image processing is widely utilized for disease detection and classification of biomedical images.Tongue color image analysis is an effective and non-invasive tool for carrying out secondary detection at anytime and anywhere.For removing the qualitative aspect,tongue images are quantitatively inspected,proposing a novel disease classification model in an automated way is preferable.This article introduces a novel political optimizer with deep learning enabled tongue color image analysis(PODL-TCIA)technique.The presented PODL-TCIA model purposes to detect the occurrence of the disease by examining the color of the tongue.To attain this,the PODL-TCIA model initially performs image pre-processing to enhance medical image quality.Followed by,Inception with ResNet-v2 model is employed for feature extraction.Besides,political optimizer(PO)with twin support vector machine(TSVM)model is exploited for image classification process,shows the novelty of the work.The design of PO algorithm assists in the optimal parameter selection of the TSVM model.For ensuring the enhanced outcomes of the PODL-TCIA model,a wide-ranging experimental analysis was applied and the outcomes reported the betterment of the PODL-TCIA model over the recent approaches.

Political Optimizer with Probabilistic Neural Network-Based Arabic Comparative Opinion Mining

Opinion Mining(OM)studies in Arabic are limited though it is one of the most extensively-spoken languages worldwide.Though the interest in OM studies in the Arabic language is growing among researchers,it needs a vast number of investigations due to the unique morphological principles of the language.Arabic OM studies experience multiple challenges owing to the poor existence of language sources and Arabic-specific linguistic features.The comparative OM studies in the English language are wide and novel.But,comparative OM studies in the Arabic language are yet to be established and are still in a nascent stage.The unique features of the Arabic language make it essential to expand the studies regarding the Arabic text.It contains unique featuressuchasdiacritics,elongation,inflectionandwordlength.Thecurrent study proposes a Political Optimizer with Probabilistic Neural Network-based Comparative Opinion Mining(POPNN-COM)model for the Arabic text.The proposed POPNN-COM model aims to recognize comparative and non-comparative texts in Arabic in the context of social media.Initially,the POPNN-COM model involves different levels of data pre-processing to transform the input data into a useful format.Then,the pre-processed data is fed into the PNN model for classification and recognition of the data under different class labels.At last,the PO algorithm is employed for fine-tuning the parameters involved in this model to achieve enhanced results.The proposed POPNN-COM model was experimentally validated using two standard datasets,and the outcomes established the promising performance of the proposed POPNN-COM method over other recent approaches.

通过PO-KELM的3D NAND FLASH寿命预测方法研究

随着半导体行业的快速发展,以及各种芯片国产化的趋势越来越明显,3D NAND FLASH作为当前存储器件的重要代表,其寿命预测对于保障系统可靠性至关重要。因此,通过硬件搭建现场可编程门阵列采集平台,对3D NAND FLASH进行特性分析,在不同擦除/写入次数下模拟FLASH可能发生的不同误码情况,分析耐久性、数据保持特性以及读、写干扰特性的变化趋势。同时提出鹦鹉优化器改进的核极限机器学习机,由于核极限学习机参数寻优困难,鹦鹉优化器通过搜索位置提高参数寻优速度和准确度。采用将已使用的循环次数作为输出结果对FLASH进行寿命预测。实验结果表明,相比其他机器学习,采用鹦鹉优化的核极限学习机预测模型精度可以达到98.5%,在提升训练速度和准确度中具有重要的现实意义。

Research on the Optimization of Ideological and Political Education in Colleges From the Perspective of Cultural Confidence

Under the perspective of globalization,college students’outlook on life,values and world outlook are affected,and corresponding changes have taken place.From the perspective of cultural self-confidence,explore the difficulties in integrating cultural self-confidence into ideological and political education in colleges and universities,clarify the significance of cultural self-confidence in ideological and political education in colleges and universities,and then discuss the way that cultural self-confidence and other traditional cultural spirits can be integrated into college ideological and political education,and expand ideological and political education.Educational methods and influence are expected to provide a more targeted and effective thinking path for the optimization of current ideological and political education in my country’s colleges and universities.

Research on the Transformation and Upgrading of Ideological and Political Education Management in Colleges and Universities

In Colleges and universities,the organization of Ideological and political teaching courses can strengthen the ideological education of students,but at present there are still some problems in the ideological and political teaching in Colleges and universities,the ideological and political teaching has not achieved the expected effect,and the ideological and political teaching will be hindered in the work.This paper focuses on the connotation of Ideological and political teaching in Colleges and universities,and puts forward the measures of transformation and upgrading of Ideological and political teaching management.

红色文化融入高职院校思政教育的路径探析

作为中华民族的精神瑰宝,红色文化与思政教育的深度融合能够有效提升学生的历史认知素养,筑牢其理想信念之基,显著强化其担当意识,还可以进一步丰富和深化思想政治理论课的实践教学环节。然而,当前红色文化融入高职院校思政教育的进程中面临着价值认知模糊、育人主体间协同合作低效、育人内容选择不精准以及育人方式手段单一等问题,需要通过深化价值认知、强化主体协同、精准把握内容、创新育人方式等路径,全面提升思政教育的质量。

护理专业课程思政研究的可视化分析和优化路径

目的对护理专业课程思政研究现状、热点和趋势进行可视化分析,为今后护理专业思政教学改革及研究提供参考。方法以2014年1月1日至2023年12月31日间CNKI收录的860篇文献为样本,采用CiteSpace软件对发文作者、机构及关键词进行可视化计量分析。结果护理专业课程思政研究逐年增加,预测至少未来两年内仍保持上升趋势;发文量前5的作者中,同一院校的作者发文重叠度较高,发文量前5的机构主要为职业院校;中心性≥0.1的关键词10个,得出11个聚类,研究热点包括课程思政的课程建设、课程思政的教学实施以及课程思政的内涵与实现。结论护理专业课程思政研究处于快速发展阶段,未来需要强化机构之间的合作与交流,加强课程思政体系化建设,丰富课程思政元素与内涵,拓宽课程思政实践与融入路径。

思政教育融入语文课堂教学的策略探微

语文学科具有工具性和人文性,在语文课堂教学中融入思政教育具有得天独厚的优势。思政教育融入语文课堂教学,有利于培养学生的爱国情怀,增强学生的社会责任感,提升学生的道德素养,培养学生的批判性思维,帮助学生树立正确的世界观、人生观和价值观。思政教育融入语文课堂教学,要注重优化教材内容、创新教学方式、建立科学的评价体系、提升教师政治素养、开展课外实践活动。

一种惯性稳定平台分体式POS安装方案设计与优化

根据某型光谱成像仪的结构特点,提出一种航空遥感惯性稳定平台分体式POS安装方案,并对支架进行多目标优化设计。安装方案包括整体布局、POS安装方案、配重方案及支架优化4个部分。首先,根据载荷、POS及稳定平台结构特点和功能确定最优布局方案,在稳定平台方位框上对称分体式安装POS/支架系统、配重/支架系统,使得当载荷沿方位轴转动到任意位置情况下,对水平横滚轴及俯仰轴的偏心力矩都能相互抵消;其次,为减小安装空间,将POS通过支架在方位框过渡盘上垂直安装;第三,根据载荷安装位置,确定将配重/支架系统与POS/支架系统沿俯仰轴对称安装,将配重块重心集成设计并进行最大距离安置,使得在配重最小情况下实现对POS的最大偏置校正力矩;第四,以质量、应力及应变最小为目标,对安装支架进行基于ANSYS Workbench仿真环境的拓扑优化和多目标参数优化设计,使得在保证强度和刚度的条件下质量减少了26.7%;最后,以优化设计方案为指导,对POS安装及配重系统进行加工配重和飞行实验。实验结果表明:基于POS位置反馈的惯性稳定平台控制系统性能稳定,实现了光谱仪高精度航空遥感成像。

高校思政课过程性评价生态系统优化路径研究--以南开大学“伯苓班”为例

从教育生态学视角看,高校思政课过程性评价系统是一个典型的教育生态系统,具有整体关联性、动态交互性和多元综合性等生态优势。但受内外多种因素的影响,这一系统在实际运行中却也存在考核理念偏差、考核内容过载、评价主体定位不准、主体间信息交流失衡等生态失衡问题,亟需坚持知识性与价值性相统一、统一性与差异性相结合、培养考核与激励帮扶相统一、客观性与公开性相结合的原则,从多方面加以完善优化。

基于POS系统的无人机遥感图像融合方法的研究与实现

根据无人机遥感图像像幅小、几何畸变大、图像配准精度低等特点,提出采用最佳缝合线融合方法对无人机遥感图像进行融合。试验对30张无人机遥感图像序列进行了融合测试,结果表明这种融合方法能够很好地应用到无人机遥感图像的融合中,不仅可以有效地消除拼接线,而且能够避免"鬼影现象",使合成图像的整体目视效果得到了大幅提高。

Optimum design of equivalent accelerated life testing plans based on proportional hazards-proportional odds model

The optimum design of equivalent accelerated life testing plan based on proportional hazards-proportional odds model using D-optimality is presented. The defined equivalent test plan is the test plan that has the same value of the determinant of Fisher information matrix. The equivalent test plan of step stress accelerated life testing （SSALT） to a baseline optimum constant stress accelerated life testing （CSALT） plan is obtained by adjusting the censoring time of SSALT and solving the optimization problem for each case to achieve the same value of the determinant of Fisher information matrix as in the baseline optimum CSALT plan. Numer- ical examples are given finally which demonstrate the equivalent SSALT plan to the baseline optimum CSALT plan reduces almost half of the test time while achieving approximately the same estimation errors of model parameters.

基于GIS的POS机维修信息服务平台

针对商业银行POS机设备高效维修服务问题,对POS机维修信息服务平台进行开发。该平台采用B/S架构,后台采用Spring MVC和My Batis整合框架,前端采用Bootstrap和easy UI框架以及地理信息系统(GIS)路径优化算法进行设计与实现。对客户方的每一个报修信息及时进行处理、派单维修,使整个报修、维修信息服务过程实现自动化、智能化、规范化,有效地提高了办事效率。

POS辅助空中三角测量在大比例尺航空摄影测量中的应用研究

POS辅助空三技术的应用使得传统航空摄影测量摆脱了对于大量地面控制点的依赖性,在提高作业效率的同时也带来了很大的经济效益。该文结合具体的生产项目,对1∶1 000大比例尺测图中POS辅助空三的精度进行分析,并通过实验探讨像控点布设的最优方案,为POS辅助空三在1∶1 000成图中的应用提供技术依据。

POS优化算法在SWAT模型参数优化中的应用

当前,分布式水文模型SWAT模型在国内水文模拟中应用较为广泛,但模型参数较多,人工经验设定参数存在工作量较为繁杂,且模拟精度不高的缺陷,为此本文引入POS优化算法,对SWAT模型参数进行批量优化,并以汤河西支流域为研究区域,结合区域实测水文数据,对比分析参数优化前后,对SWAT模型模拟精度的影响。研究结果表明:POS优化算法可实现SWAT模型参数的批量优化,相比参数优化前,参数优化后SWAT模型模拟径流深相对误差减少5.7%,流量过程拟合系数提高0.118。研究成果对于水文模型参数优化和自动率定提供参考价值。

“大思政课”视域下高校思想政治教育优化探析

“大思政课”建设为新时代高校思想政治教育的优化提供了重要的指引和依托。以“大思政课”理念创新高校思想政治教育的育人格局和思路,是推进高校思想政治教育守正创新和提质增效的现实要求。在深刻把握“大思政课”的内涵价值和逻辑意蕴的基础上,顺应多元文化发展、时代变革要求和社会场域延伸的高校思想政治教育形势发展。善用“大思政课”,在目标上体现大局观与针对性、内容上体现先进性与时效性、手段上体现主导性和协同性、空间上体现社会性与生活性,进一步明确高校思想政治教育优化的具体指向。加强形势教育、培养大局意识,构建协同机制、抓好系统建设,创新教学方式、推动教学改革,丰富教育载体、拓展全域空间,才能在推进和构建“大思政课”体系的过程中优化高校思想政治教育,推进新时代高校思想政治教育系统化、高质量发展。

思政课数字化育人转型的实践图景与优化

思想政治理论课是落实立德树人根本任务的关键课程,要抓住数字技术发展新机遇,积极推动数字技术与思政课的深度融合。思政课数字化育人转型有利于丰富思政课教学内容,革新思政课教学方式,优化思政课教育环境。面对思政课数字化育人转型的现实困境,调整思政课育人的路径,要从学校层面、教学层面、教师层面三方面着手有针对性地解决问题,把思政课立德树人根本任务落到实处,切实提升思政课育人的成效。

高校思想政治教育有效融入生活空间的价值意蕴、主要障碍与路径优化

生活空间是开展思想政治教育的基本场域,是思想政治教育实现空间转换的切入点。有效融入生活空间,是提升高校思想政治教育亲和力的关键,是增强高校思想政治教育针对性的重要方式,更是实现高校思想政治工作全方位育人的必然要求。高校思想政治教育与大学生生活空间的有效融合是应然的合理状态,但在融合过程中面临着由于异质性冲突导致的空间疏离、受传统路径制约和对个体需求关注不足引发的空间脱域、受网络圈层化影响形成的空间壁垒等障碍。因此,高校思想政治教育有效融入生活空间,需要基于现实生活空间加强沟通互动与情感融入,搭建好融入生活空间的桥梁中介,充分发挥文化育人、实践育人的重要作用,进一步增强思想政治教育网络空间的主导权与话语权,从而实现从疏离到融合、从脱域到互嵌、从壁垒到通达,使其在生活空间有效融入中实现自身的价值使命。

全媒体时代“大思政课”建构的审视与优化

“大思政课”是新时代落实立德树人根本任务的新型课程教育理念。伴随全媒体技术同思想政治教育的融合发展,“大思政课”在教育内容、载体、主体、环境上凸显出“全程、全息、全员、全效”(即“四全”)的崭新时代特征。这不仅给传统思政课教育教学提出了现实挑战,同时也为当前思政课教育教学的优化发展明确了前进方向。全媒体语境下,善用“大思政课”,不仅要把握媒体深度融合的时代背景,明确“大思政课”建构的“四全”特征,还要从凝聚价值共识、加快媒体融合、提升媒介素养、拓展传播格局等路径入手,推动全媒体技术与思政课教育教学深度融合,使“大思政课”无处不在、无时不有,充分发挥思政课在立德树人、铸魂育人中的关键作用。