Prediction of Ground Vibration Induced by Rock Blasting Based on Optimized Support Vector Regression Models

Accurately estimating blasting vibration during rock blasting is the foundation of blasting vibration management.In this study,Tuna Swarm Optimization(TSO),Whale Optimization Algorithm(WOA),and Cuckoo Search(CS)were used to optimize two hyperparameters in support vector regression(SVR).Based on these methods,three hybrid models to predict peak particle velocity(PPV)for bench blasting were developed.Eighty-eight samples were collected to establish the PPV database,eight initial blasting parameters were chosen as input parameters for the predictionmodel,and the PPV was the output parameter.As predictive performance evaluation indicators,the coefficient of determination(R2),rootmean square error(RMSE),mean absolute error(MAE),and a10-index were selected.The normalizedmutual information value is then used to evaluate the impact of various input parameters on the PPV prediction outcomes.According to the research findings,TSO,WOA,and CS can all enhance the predictive performance of the SVR model.The TSO-SVR model provides the most accurate predictions.The performances of the optimized hybrid SVR models are superior to the unoptimized traditional prediction model.The maximum charge per delay impacts the PPV prediction value the most.

Weight Data Fusion Based on Mutual Support Applied in Large Diameter Measurement

The on-line diameter measurement of larger axis workpieces is hard to achieve high precision detection, because of the bad environment of locale, the problem to amend the measuring error by non-uniform temperature field, and the difficulty to collimate and locate by usual method. By improving the measurement accuracy of larger axis accessories, it is useful to raise axis and hole＇s industry produce level. Because of the influence of complex environment in locale and some influential factors which are hard excluded from the large diameter measurement with multi-rolling-wheels method, the measurement results may not support or even contradict each other. To the situation, this paper puts forward a mutual support deviation distinguish data fusion method, including mutual support deviation detection and weight data fusion. The mutual support deviation detection part can effectively remove or weaken the unexpected impact on the measurement results and the weight data fusion part can get more accurate estimate result to the detected data. So the method can further improve the reliability of measurement results and increase the accuracy of the measurement system. By using the weight data fusion based on the mutual support （DFMS） to the simulation and experiment data, both simulation results and experiment results show that the method can effectively distinguish the data influenced by unexpected impact and improve the stability and reliability of measurement results. The new provided mutual support deviation distinguish method can be used to single sensor measurement and multi-sensor measurement, and can be used as a reference in the data distinguish of other area. The DFMS is helpful to realize the diameter measurement expanded uncertainty in 5 ×10^-6D or even higher when the measured axis workpiece＇s diameter is 1-5 m （ 1 m ≤ D ≤5 m ）.

Measuring the influence of a mutual support educational intervention within a nursing team

Background:Teamwork is essential to provide the highest quality of care for patients.Feeling supported within a nursing unit is a significant factor in nursing satisfaction,intention to remain in the job,and the capacity to provide safe patient care by Aiken et al[1].Purpose:This study examined mutual support among a nursing team to measure the influence of an educational intervention focusing on Mutual Support from the Team STEPPS curriculum by Agency for Healthcare Research and Quality,AHRQ[2].Methods:The study design used a Likert scale survey,the Nursing Teamwork Survey,before and following an education intervention adapted from the Team STEPPS curriculum on Mutual Support.Demographic data from the 41 participants were analyzed for impact on educational background,roles and responsibilities,age,and other factors.Results:Pre-Post education intervention results varied among the survey items,although scores demonstrated heightened awareness of teamwork following the educational intervention.The subscale of Backup illustrated the strongest improvement.Conclusion:The study demonstrates that education can have an impact on perceptions and awareness of mutual support among nursing team members.The survey instrument can be used effectively to inform leadership areas for improvement and staff development in the effort to improve team coordination and mutual support.

The Role of Mutual Support Groups for the Control of Diabetes in a Mexican City: Achievements and Limitations from the Patients’ Perspective

Background: Mutual Support Groups (MSG) provides to the patient, the ability to effective self-management behaviors, such as taking prescribed medications, following diet and exercise regimens, self-monitoring, and coping emotionally with the rigors of living with diabetes. Physicians, nurses and health promoters from public primary Health Care Centers (HCC) are responsible for providing follow-up care through MSGs. However, although the MSG program has been carried out, in the last decade Mexico presents the most alarming statistics in the prevalence and complications of Diabetes Mellitus type II (DM-II), suggesting a low impact of MSG in the strategy to support the effective control of the disease. Objetive: The aim of this work was to assess whether knowledge or benefits of effective management to control of DM-II, also to identify strengths and limitations of MSGs, in six different Health Care Centers (HCC), in San Luis Potosi, Mexico. This research provides an overview of patients’ perception, and significant issues that demand to adjust MGSs strategies, with the goal of exceed the expectations of current health statistics. Methods: A qualitative evaluation was carried out, with an ethnographic approach design. The study included 28 diabetic persons, (21 women and 7 men from ruraland urban carecenters). Semi-structured interviews, non-participant observation, and structured content analysis were used. Results: Support groups give patients a way to address emotional issues, and learn about their disease and self-care, although some patients consider participation an inconvenient obligation. Support group users mention barriers such as lack of continuity in support group activities, inconvenient meeting times, and the difficulty of commuting to attend group sessions. They also mention that overworked health care workers find it difficult to provide leadership to keep the group going. These issues have multiple implications for the success of strategies to control the disease. Conclusions: This study shows the need to apply a participatory model to disease support group strategies to reorganize their actions in such a way as to meet the needs and requirements of patients and to ensure their participation and help them control their disease.

半市场化社区互助养老:农村老年人照料中的集体统筹与实践定位

互助养老实践打破了纯福利型和纯市场化养老模式存在的弊端,但在服务对象和服务内容上仍然存在一定不足。半市场化社区互助养老把市场和社区要素同时纳入,依托村社集体发挥公共角色功能,为高龄老人推荐低龄老人资源,提供低于市场价的半市场化养老服务,成为当前人口老龄化背景下的合适选择。在半市场化社区养老实践中,村社集体不但能够对内外部养老资源进行整合和社会动员,还可以介入养老服务过程,进行居间协调公证、监督养老服务质量、保护照料双方合法权益,强化互助养老的公益属性。半市场化社区互助养老以集体统筹为核心,通过统合政府、市场和家庭等多元主体的角色,为村庄老年人搭建起低成本、高福利的互助养老公共平台。

老龄化视域下西北农村互助养老需求及影响因素实证分析

目的:了解西北农村地区老年人互助养老需求及其影响因素,为农村互助养老长效发展提供策略和方案。方法:采用自制问卷对西北五省农村60岁以上老年人进行抽样调查。共发放问卷2800份,回收有效问卷2454份,有效回收率87.6%。提出研究假设,建立模型,采用分步Logistic回归分析数据。结果:年龄、身体机能、婚姻状况、居住方式、收入、社会网络关系、互助设施适老程度均对老年人互助养老产生显著影响。结论:老年人对养老服务需求是一种刚性需求,且多样化、个性化、复杂化。由此建议发展农村互助养老应精准、动态评估老人内生需求,建立需求评估机制;以村庄为本位,补齐农村养老短板,建立因地制宜、因人制宜的农村互助养老网络,完善农村互助养体系,提倡一村一策略,一人一方案养老模式,为西北农村互助养老可持续发展提供可行路径。

基于沙地猫群优化–最小二乘支持向量机的动态NOx排放预测

针对火电机组频繁调峰导致机组燃烧状态不稳,进而导致锅炉出口NOx浓度波动范围大的问题,提出一种基于沙地猫群优化(sand cat sarm optimization,SCSO)的最小二乘支持向量机(leastsquaressupportvectormachine,LSSVM) NOx动态预测模型。首先利用k近邻互信息计算时间延迟的同时筛选辅助变量。然后,基于SCSO算法进行输入变量阶次的选择。使用包含辅助变量时间延迟和阶次的信息作为模型的输入,SCSO算法优化最小二乘支持向量机参数,建立动态NOx排放最小二乘支持向量机预测模型(SCSO-LSSVM动态软测量模型)。最后将模型与未加入迟延的LSSVM模型,加入迟延的LSSVM模型和粒子群优化算法(particle swarm optimization,PSO)优化最小二乘支持向量机参数的动态软测量模型进行对比验证。结果表明,相较于其他模型,该文建立SCSO-LSSVM动态软测量模型均方根误差、平均绝对误差、平均绝对误差最小,预测精度最高,而且在NOx浓度剧烈波动时也能够较好地预测NOx浓度,具有很好的动态特性。

毛泽东对中国式现代化工农相互支援联动发展实现路径的探索

以毛泽东同志为主要代表的中国共产党人在探索中国式现代化进程中,从实现追赶世界工业化进程的战略目标出发,从以工业为先导的农业现代化建设、服务农业现代化的工业体系建设、农业向工业提供农产品支撑等产业关联性方面,对工农相互支援联动发展实现路径进行了积极探索,构建起以重工业为中心并带动农业现代化建设、农业为工业提供农产品支撑的工农产业体系,回答了作为工业化后发国家如何追赶世界工业化进程的命题,其所进行的理论和实践探索具有开创性意义。中国式现代化进程中探索工农相互支援联动发展的实践表明,对于中国社会主义革命和建设时期工农城乡关系的讨论,不能仅仅看到农业为工业提供资金支持而弱化了其发展能力,还要看到工业为农业提供现代生产要素而提升了其发展能力,以及为农村提供现代生活用品而改善了农民生活条件。

患者同伴支持的喜与忧质性研究

运用参与型实地观察、质性访谈法和扎根理论等方法对患者同伴支持进行研究。研究发现,一方面,同伴支持网络作为一种“多赢”的社会支持模式,在许多病种患者群体中取得了积极效果,成为了病友之间的情感寄托,有利于缓和紧张的医患关系,改善病友与社会的联结,提高病患及其照顾家属的身心健康和社会福利水平;另一方面,也出现了某些突破同伴支持边界的行为,给病友造成情感以及财产上的损失,甚至因为援助过度而将自己陷入了非法领域。

社会支持视角下农村老年人互助养老行为及影响因素研究

老龄化“城乡倒置”、养老资源“分布倒挂”现象加剧,互助养老成为解决我国农村养老问题的新途径。基于社会支持理论,运用CHARLS2018年数据,考察社会支持对农村老年人互助养老行为的影响,研究发现:正式社会支持中助推型公共政策能通过“减少策略”和重构互助环境显著发挥促进作用;非正式社会支持中隔代照料正向作用显著;与农村老年人经济条件相关的变量均起到负向作用,互助养老行为的根本驱动与经济困境有关;非正式社会支持与正式社会支持存在交互效应,助推政策与照料孙子女具有互补性;低龄、无配偶且受教育水平较高的农村老年女性互助养老行为更强。研究结论有助于揭示互助养老行为影响因素以及柔性助推在其中的作用。

内生型农村互助养老的运行机制及其社会基础——以浙江罗村为例

外生型农村互助养老模式在地方实践中面临可持续发展困境,因此,如何激活村庄互助养老内生动力具有重要意义。通过对浙江省中部罗村的田野调查,分析内生型互助养老运行机制的构建路径,阐明引导和约束运行机制的社会基础。研究发现,新乡贤、村集体及(新)村民等多元主体构建起组织建设、资金筹措、文化浸润以及行为激励四重运行机制。依托乡村精英的工具理性与价值理性、熟人社会的相互信任与面子竞争、地方知识的关联建构与拓展应用等乡村社会基础促进内生型互助养老实践生成,以软性约束方式保障实践长效运行。基于此,加强乡村社会建设、通过农民自组织互助养老应是建设内生型互助养老模式的核心要义。

价值回归:健康中国视域下门诊保障制度改革

健康保障,特别是医疗保障关乎亿万人民福祉,完善基本门诊保障,是新时代中国医保制度改革的重要抓手,也是建设健康中国的有力支撑。中国基本医疗保障制度的建立和演变是从住院保障逐步向住院、门诊“双统筹”发展的过程,相比于住院保障,门诊保障正处于改革关键期。门诊保障制度及实践在医保运行中发挥着基础、广泛的作用,须遵循“制度实践与价值取向相统一”的原则。一方面,制度实践是价值取向的外在反映;另一方面,内在价值取向是制度实践的有效内驱力,因此,要想有效发挥门诊保障制度效能,必须充分考察制度所蕴含的价值取向,即只有主动调试门诊保障制度运行的价值取向与实然状态,才能更好地发挥门诊保障制度优势。因此,通过以“制度运行及实践现状-存在问题及价值取向偏差-制度改革制约因素-价值回归及改革路径探索”为架构进行论述,重新审视基本医保门诊保障的实践现状以及实践中所展现的价值取向,发现门诊保障的制度结构分割与碎片化、基层执行主体服务能力薄弱、运行机制筹资与管理能力不足等问题,进而提出完善路径与治理措施,以期促进医疗保障高质量发展。

留守经历、情感模式与互助型夫妻关系实践——留守经历的叙述与意义阐释

研究通过对三位有过留守经历的女性叙述,理解其留守经历对她们情感生活的意义。研究发现,童年和奶奶的共同生活使她们记忆的是“有奶奶的家”,和奶奶一起生活,让她们学会了独立和能吃苦的精神。成长后的她们以独立身份经营自己的情感、生育与夫妻关系,大致形塑了三类情感模式:一类是以愤怒为基础的敏感和自尊式情感类型;一类是以艰苦勤劳为底色的自信和自主式情感类型;一类是以需求被满足为基础的自爱和学习型情感类型。新生代女性是我国欠发达地区的职业教育和新型城镇化发展的受惠者,她们抓住机会,掌握自己的命运,成为摆脱父权制和母亲命运的创造者、新型城镇化过程中互助型夫妻关系的主导者。

中国特色的农村自发互助养老模式的村级补持探索

农村养老问题,关系到农村基本秩序的稳定,关系到中国的现代化进程。目前政府尝试构建的农村养老服务体系,更多侧重养老服务基础设施建设,这与当前我国农村的养老需求存在结构性错配。农村养老服务供给应兼顾农村基础条件、农民需求偏好与农村文化心理等因素。农村内生性的自发互助养老模式正是切合当下中国农村现实的一种养老模式,它具有低信任成本、低经济成本、低监管成本和高情感受益的优势,同时它也存在一些安全隐患。未来需要农村村支“两委”充分发挥组织优势,提供农村自发互助养老需求的信息、资源和保障,方能使农村自发互助养老朝着可控的、健康的方向发展,进而有效缓解农村养老压力。

共同富裕理念下农村社区互助养老长效机制探索

在共同富裕的大背景下,互助养老依托第三次分配机制,具有资源整合度高、运行成本低、嵌入性强等特征,在农村社区具有较大的发展空间与前景,得到学界与政府重视与推广,但还存在不易解决特殊困难老人的社区居家养老等问题。因此,农村养老问题还需要政府发挥基本保障职能,强化第二次分配力度,为特殊困难老人提供兜底养老保障,同时助力老年协会规范化建设,让其成为互助养老服务的主体,让农村社区互助养老基本服务惠及每位老人。

针对恶意软件检测的特征选择与SVM协同优化

提出一种基于改进哈里斯鹰优化SVM和特征选择的恶意软件检测模型。为改进特征子集选取和SVM分类准确率,引入混沌映射、能量因子调节、最优解变异扰动和互利共生对HHO算法的初始种群结构、全局搜索与局部开采切换性能及跳离局部最优能力进行改进;利用改进算法优化SVM参数和特征子集选取,构建恶意软件检测模型。实验结果表明,改进算法在降低特征维度的同时可以有效提升分类准确率,利用高质量特征子集提升恶意软件检测模型的分类能力。

共责异构:农村养老服务的有效模式

以人口老龄化和乡村振兴的双重战略为背景,基于全国78名村党组织书记的一手访谈资料,采用定性比较分析方法,探讨不同主体在农村养老服务中的作用和效果。区别于既有理论,我国农村养老体系呈现主体分层、对象分类、方法分段的“共责异构”特征。组态结果显示:(1)邻里互助是唯一的单因素必要条件,市场机制基本缺失;(2)政府兜底是互助型养老的前提,党建引领的组织化社会力量起到补足作用;(3)居家养老的主要逻辑是共同体互助而不完全是家庭反哺,机构养老的逻辑是政府主导资源协同。在新时代新征程,农村养老体系改革要立足中华民族优秀传统文化和制度优势,实现有中心的多元协同。

基于Mutual Boost和支持向量机的表情识别

主要研究自动人脸表情识别(FER),首先使用Gabor算法提取人脸图像的特征,再针对Gabor特征维数高、冗余大及利用传统的AdaBoost算法进行特征选择时特征间仍存在较大冗余的特点,引入了基于互信息的AdaBoost算法(MutualBoost)进行特征选择,降低特征维数和减少特征间的冗余信息量。然后再以SVM分类器进行分类。本算法在JAFFE表情库上进行测试,结果验证了算法的有效性。

Educational Synergy

In a significant stride towards fostering international collaboration in education,China has rea"rmed its commitment to supporting Rwanda’s technical and vocational education and training(TVET)sector.The partnership,marked by the signing of two letters of intent between Rwanda Polytechnic and prominent Chinese institutions,underscores the mutual dedication to enhancing skills development and fostering economic growth.

行政激活与集体自发:两种村社互助养老组织化的比较——基于赣西与浙东的田野调研

以村社为单位的互助养老是构建中国特色养老体系的现实选择。村社互助养老的组织开展具有自上而下和自下而上的两条路径。调研发现,赣西地区行政推动的村社互助养老具有行动强制、主体指定、形式固化和价格刚性的特征,优势是行政推动与底线考核促进了普惠性养老的全覆盖,但也造成了制度和福利依赖。浙东地区集体自发的村社互助养老具有行动自主、主体多元、形式多样和价格弹性的特征,优势是村社集体的积极性带来了低成本、在地化和可持续,但存在弱考核下干部消极不作为的问题。在此基础上,迈向村社互助养老的关键是村社作为统筹者,既需要政府的有限介入,也需要社会的积极参与,由此与家庭养老相互支持,构建起容老适老的不离家、不离土和不离乡的乡村养老体系,推动积极应对人口老龄化战略的实现。