Helping Nurses Cope with COVID-19 Pandemic: Evaluating Support Programs

During the height of the Coronavirus Disease (COVID-19) Pandemic, nurses all over the world, including members of the National Association of Nigerian Nurses in North America (NANNNA) experienced a heightened and unprecedented level of stress, anxiety, fear, uncertainty, concern for their safety and that of their loved ones. This prompted NANNNA leadership to initiate and conduct support programs for nurses especially those on the frontline of care. This project evaluates the effectiveness of the support programs conducted by NANNNA during the early surge of COVID-19. The Centers for Disease Control’s (CDC’s) Framework for Evaluation in Public Health guided this evaluation. Focus group discussion and online survey was utilized to gather data. While 19% of respondents reported being diagnosed with COVID-19, the majority (81%) were not. About 44% of respondents had family members who were diagnosed with COVID-19, while 18% reported loss of a close family member due to COVID-19 complications. Most respondents reported that the program was impactful in information sharing as well as significant in helping them feel connected with other nurses. Hence, this subsequently enhanced their support networks, provided emotional and spiritual support. Survey results revealed that NANNNA support programs had positive effects in helping members mitigate the fear, anxiety and uncertainty experienced during the surge of the COVID-19.

Support Vector Machines for Regression: A Succinct Review of Large-Scale and Linear Programming Formulations

Support Vector-based learning methods are an important part of Computational Intelligence techniques. Recent efforts have been dealing with the problem of learning from very large datasets. This paper reviews the most commonly used formulations of support vector machines for regression (SVRs) aiming to emphasize its usability on large-scale applications. We review the general concept of support vector machines (SVMs), address the state-of-the-art on training methods SVMs, and explain the fundamental principle of SVRs. The most common learning methods for SVRs are introduced and linear programming-based SVR formulations are explained emphasizing its suitability for large-scale learning. Finally, this paper also discusses some open problems and current trends.

Consideration of the Self-Care Supporting Program Including Simple Exercise for Patients with Early Stages of Secondary Lower-Limb Lymphedema

Aim: We devised a self-care supporting program targeting patients with early stages of secondary lower-limb lymphedema. The program incorporates “Simple exercises to replace lymphatic drainage” based on lymphatic flow. The purpose of this study was to consider the feasibility of continuing this program. Methods: The participants were patients in the early stages of secondary lower-limb lymphedema after gynecological cancer surgery and lymphedema therapists with more than five years of experience. Patients continued self-care at home after being briefed on the program, and they were analyzed on their self-care continuity status one month later based on a self-administered questionnaire survey and self-care notes. We interviewed the lymphedema therapists about this program to discuss the feasibility of continuing it and obtain feedback. Results: The patients who participated in the study were six women who underwent surgery with lymph node dissection for gynecological cancer. The therapists were five nurses and one occupational therapist. The patient understood the importance of all items in the self-care. “Observation,” “Touching,” and “Skin care” were relatively easy to continue. “Lymph drainage” and “Exercise” were continued with “Simple exercises to replace lymphatic drainage”. “Other exercises” were able to continue by adding distance and time to daily activities. Furthermore, “Measurement” and “Recording” became a burden and were difficult to continue. Nonetheless, this program was generally approved by the lymphedema therapists. They also pointed out the content and format of the self-care notes as improvements. Conclusions: We found that the self-care supporting program that incorporated “Simple exercises to replace lymphatic drainage” might be feasible to continue self-care for patients with early stages of secondary lower-limb lymphedema. Furthermore, we found that we needed to improve the “Measurement” and “Recording” sections of this program.

Implementing and Popularizing Health Clinics and Educational Programs in NJ School Areas for Supporting NJ Pregnant Teenagers

This proposal focuses on the prevalence of teenage pregnancy issue in NJ and illustrates the benefits of school-based health clinics and educational programs which should be implemented for teenage pregnancy and childbearing.Without the early intervention of educational programs and preventive medical services which should be implemented in school areas,teen pregnancy and childbearing can have physical and emotional health influences on teen mothers,their babies and other family members,and the worst consequence should be abortion.What’s more,teenage pregnancy and childbearing have substantial economic consequence for state.The annual estimated cost associated with teen childbearing (teens 19 and younger) in NJ to taxpayers is at least $167 million in 2004 (24% federal costs and 76% state and local costs).Studies demonstrated that a much larger amount of money is spent on the consequences of teenage pregnancy than on prevention.NJ has an opportunity to invest in prevention and reduce not only the monetary but also the societal costs to our youth burdened by the often overwhelming responsibilities of teenage pregnancy and parenting.According to the 15 years follow-up research and data analyzing,two models of success which specifically implemented in South Carolina high schools and Chicago public schools have been proved to effectively reduce incidence of repeat pregnancy and emergency room visits,reduce incidence of teen mothers smoking during pregnancy,improve emotional outcomes among teen mothers,decrease incidence of teen mothers drug impairment,arrest,conviction,or jail time and reduce use of food stamps and other public assistances,which can consequently increase the state public health costs.In order to support teen mothers’ academic,physical,emotional and social needs in a stable and consistent school environment,the plan which titled "Physical and Mental Health Promotion for NJ Teen Mothers" is effective and practical enough to arouse the attention of some relevant departments.It’s worth patron to fund the plan because supporting teenage pregnancy at early stage can subsequently benefit the national and state economy and teen mothers.

Support vector classification algorithm based on variable parameter linear programming

To solve the problems of SVM in dealing with large sample size and asymmetric distributed samples, a support vector classification algorithm based on variable parameter linear programming is proposed. In the proposed algorithm, linear programming is employed to solve the optimization problem of classification to decrease the computation time and to reduce its complexity when compared with the original model. The adjusted punishment parameter greatly reduced the classification error resulting from asymmetric distributed samples and the detailed procedure of the proposed algorithm is given. An experiment is conducted to verify whether the proposed algorithm is suitable for asymmetric distributed samples.

On Continuous Programming with Support Functions

A second-order Mond-Weir type dual problem is formulated for a class of continuous programming problems in which both objective and constraint functions contain support functions;hence it is nondifferentiable. Under second-order strict pseudoinvexity, second-order pseudoinvexity and second-order quasi-invexity assumptions on functionals, weak, strong, strict converse and converse duality theorems are established for this pair of dual continuous programming problems. Special cases are deduced and a pair of dual continuous problems with natural boundary values is constructed. A close relationship between the duality results of our problems and those of the corresponding (static) nonlinear programming problem with support functions is briefly outlined.

Duality Relations for a Class of a Multiobjective Fractional Programming Problem Involving Support Functions

In this article, for a differentiable function , we introduce the definition of the higher-order -invexity. Three duality models for a multiobjective fractional programming problem involving nondifferentiability in terms of support functions have been formulated and usual duality relations have been established under the higher-order -invex assumptions.

Second-Order Duality for Continuous Programming Containing Support Functions

A second-order dual problem is formulated for a class of continuous programming problem in which both objective and constrained functions contain support functions, hence it is nondifferentiable. Under second-order invexity and second-order pseudoinvexity, weak, strong and converse duality theorems are established for this pair of dual problems. Special cases are deduced and a pair of dual continuous problems with natural boundary values is constructed. A close relationship between duality results of our problems and those of the corresponding (static) nonlinear programming problem with support functions is briefly outlined.

SCIENTISTS WON THE SUPPORT FROM HUNDREDS OF TALENTS PROGRAM IN 1996

Since the Hundreds, of Talents Program was put into operation at the CAS in 1994, nearly 400 young scholars at home and abroad have participated in the public bidding. Among them, 59 applicants have won the support from the Program as a result of competition based on publicity, equality, fairness and the enrollment of the most outstanding. The followings are profiles of the winners in the program in 1996.

C-Language Programming for Development of Conventional Water Treatment Plants Decision Support System

Water-Decision Support System (DSS) tools enhance decision-makings towards improved water supply in a given region. The rigours of manual design of the conventional water treatment plants are easily eliminated with the use of softwares as in the case of DSS. Therefore, this paper focuses on the development of a Water-DSS for design of treatment plant in Karkala Town, Udupi District of India. A four-decade population projection was made using the baseline data of 1971 till date. The manual computation for water demand, unit operations and adjoining facilities was carried out and later coded in C-programming language for development of a DSS for easier design and process selection. Data validation was done and results from the two approaches were compared. With the C-programming technique, a decision support tool for design and process selection of drinking water treatment plant using conventional method has been developed and named Water-DSS1. The designed tool is simple, accurate, flexible, efficient and universal, easily adaptable to any similar conventional treatment plant. Water-DSS1 is thus recommended for general use in ultimately alleviating water supply challenges.

Snyder希望理论+支持性照护综合护理方案在超声甲状腺结节患者中的应用效果

目的探究Snyder希望理论+支持性照护综合护理方案在超声甲状腺结节患者中的应用效果。方法选择2023年4月至9月北京中医药大学东直门医院80例超声甲状腺结节患者,采用随机数字表法将其分成对照组和观察组,各40例。对照组采用常规护理干预,观察组采用Snyder希望理论+支持性照护综合护理干预,干预时间为2周。比较两组干预前后中文版Herth希望量表(HHI)评分、家庭关怀度指数(APGAR)评分及自我管理能力评分。结果干预后,两组HHI评分高于干预前,且观察组高于对照组(P<0.05)。两组APGAR评分高于干预前,且观察组高于对照组(P<0.05)。两组自我管理能力评分高于干预前,且观察组高于对照组(P<0.05)。结论Snyder希望理论+支持性照护综合护理方案在超声甲状腺结节患者中的应用效果显著,可以提升患者希望水平、家庭功能与自我管理能力,值得在临床推广应用。

后续扶持政策赋能易地搬迁户脱贫质量:多维评估与提升策略

提升脱贫质量是巩固拓展脱贫攻坚成果同乡村振兴有效衔接的关键。易地扶贫搬迁是精准扶贫的代表性政策,后续扶持政策是防止搬迁户返贫的重要政策工具。因此,评估后续扶持政策的执行效果并探索其优化策略,有助于易地扶贫搬迁后续扶持阶段“精准施策”。基于陕西省易地扶贫搬迁户的1 253份调研数据,该研究首先从收入、生活、健康、教育和心理5个维度对搬迁户的脱贫质量进行了测度,随后评估了后续扶持政策对脱贫质量的提升效果,最后采用决策树算法探讨了后续扶持政策的优化策略。研究结果表明:(1)易地扶贫搬迁户之间的脱贫质量有差异,劳动力数量多和健康成员比例高的搬迁户脱贫质量较高。(2)不同后续扶持政策对脱贫质量的提升效果存在异质性。公益岗位和社区治理政策可以提升搬迁户的整体脱贫质量,产业帮扶政策可以提升搬迁户的收入质量,公益岗位、教育资助和社区治理政策可以提升搬迁户的心理质量。(3)部分后续扶持政策的执行中存在瞄准偏误现象,可基于搬迁户劳动力禀赋精准施策进而提升脱贫质量。因此,易地扶贫搬迁后续扶持期应当加强脱贫质量监测,着力提升后续扶持政策执行的精准性,防范化解返贫风险,促进搬迁群众在迁入地实现可持续发展。该研究构建了易地扶贫搬迁户脱贫质量的多维评估框架,也为易地扶贫搬迁后续扶持政策的持续优化提供了政策启示。

老年人复能照护的研究进展

介绍复能的概念和复能照护相关测评工具,系统综述以功能为中心的护理、自立支援照护、家庭独立计划、居家保持活跃计划、长期照护复能服务、协助计划6种复能照护的实施现状,并提出研究启示,旨在为我国推广实施复能照护提供参考。

基于UG NX的数控多轴加工工艺改良和配套夹具设计

首先,简要介绍了UG NX编程软件的相关知识;其次,以金属半环和电机外壳为研究对象,分析了其原有的数控加工工艺并提出了优化改进措施;再次,利用UG对研究对象进行了配套工装的仿真设计;最后,利用UG编制研究对象的目标零件多轴数控加工程序,有效保障了产品的加工质量,节省了人力、物力成本,提高了生产效率。

泥化顶板影响下巷道支护方案及数值模拟

木瓜煤矿9-207工作面切巷宽度达9.2 m,跨度较大且其顶板为泥化顶板,文章重点考虑锚杆预应力对大跨度泥化顶板支护效果的影响。首先设计了9-207工作面切巷的支护方案,采用数值模拟分析支护参数,最后对比泥化顶板与非泥化顶板的支护效果。采用FLAC数值模拟方法,分析了锚杆的预应力及锚索对于巷道围岩稳定性的影响。结果表明:预应力是锚杆支护系统的关键参数,锚索具有预紧力大、作用范围大的优点。在数值结果分析基础上,优化了9-207工作面切巷的支护方案,从对比模拟结果也能看出泥化顶板的支护效果要比非泥化顶板差。在解决巷道支护受泥化顶板影响的难题时,需要加强监测和优化支护,以确保工程的安全性,为今后类似条件的巷道支护提供了参考。

基于多阶段评审的大规模创新类竞赛评比方案

当前,大规模创新类竞赛层出不穷,这类竞赛的评比因专家的主观差异等原因成了亟待解决的难题。关注大规模创新类竞赛评比方案的研究与设计,通过对已有竞赛的打分结果进行分析,综合对比多种不同评比方案的优缺点,探寻最优的评比方案,以尽可能使评审流程程序化、高效化,节约人力与时间资源。首先,构建专家分配模型确定评审专家“交叉分发”方案,运用改进模拟退火算法求解,验证了模型与算法的高精度和高效率;然后,构建加权模型对比4类标准分计算方法,设计基于专家权重的改进标准分计算方法;最后,考虑大极差对创新性的关联性,建立极差回归模型,进行基于极差的模型评估。所提模型与算法适用范围广,具有重要现实参考意义与高应用价值。

以用户为中心的早产儿家庭支持护理微信小程序的开发与应用

目的:开发并应用早产儿家庭支持护理微信小程序,为早产儿家庭支持护理提供可行的工具。方法:采用“以用户为中心的设计”方法,通过文献回顾结合半结构化访谈发掘早产儿父母的家庭支持护理需求,根据需求构建小程序的模块内容,采用快速原型模型设计,实现早产儿家庭支持护理微信小程序的开发,并进行测试及可用性评价。结果:成功开发了名为“早产儿Nursing”的微信小程序客户端及后台数据管理系统,包含NICU住院期、出院过渡期、出院居家期3个时期,每个时期附有知识模块、技能模块和经验模块的内容。将该程序应用于临床,测试结果显示其系统可用性量表总平均分为82.73分,具有良好的用户体验和可用性。结论:早产儿家庭支持护理微信小程序的应用可为早产儿父母提供住院期-过渡期-居家期一体化的家庭护理支持,值得临床推广使用。

胃癌患者围术期营养管理方案的构建

目的构建胃癌患者围术期营养管理方案,为临床营养管理实践提供参考。方法采用循证方法检索文献并提取最佳证据,结合9名临床专家经验访谈,形成胃癌患者围术期营养管理方案初稿。采用德尔菲法对15名专家进行专家函询。结果2轮专家函询有效回收率均为100%,专家权威程度分别为0.92、0.95,总体肯德尔和谐系数分别为0.205、0.218(均P<0.05)。最终形成包含营养管理模式、营养风险筛查和评估、术前营养干预、术后营养干预、营养支持监测与护理、出院宣教6项一级指标,16项二级指标,42项三级指标的营养管理方案。结论胃癌患者围术期营养管理方案涵盖围术期营养管理全过程,具有较好的可靠性和实用性,可进一步开展临床验证研究。

基于数值模拟的不同锚杆索长度及间排距条件下支护效果研究

本文以邵寨煤业一盘区5#煤层综采工作面的1503运输巷与1505回风巷之间的煤柱为工程背景,借助数值模拟软件,对不同长度、间距以及排距的锚杆索支护条件下巷道的围岩控制效果展开模拟研究,并针对1505回风巷围岩塑性区的损伤扩展情况以及变形的控制效果进行分析。研究发现,不同锚杆长度的锚网索喷联合支护条件下,围岩控制效果存在显著差异。对于锚杆长度2500 m支护效果相对显著,锚杆长度增加,支护强度提高,对1505回风巷围岩塑性区的损伤扩展和变形的控制效果越好;当锚杆间距减小,支护强度提高,锚杆排距减小支护强度提高。而锚索具有相同特征,长度越长、间排距越小,支护强度越显著,对围岩塑性区的损伤扩展和变形控制效果越好。

高强预应力锚带网索组合控制下支护效果评价分析

针对王家寨煤矿现有支护手段支护效果不佳的问题,本文提出采用高强、高预紧力锚杆与预应力锚索进行组合支护,以调动发挥顶板的自承载能力和两帮煤体的全面承载作用。为探究在该生产技术条件、围岩地质条件及围岩应力状态下巷道的变形规律检验支护效果,选择在三才轨道下山作为研究对象进行现场测试。先进行锚杆锚索支护参数计算,同时考虑锚杆、锚索、钢带、金属网等支护材料的强度,以此确定巷道断面设计,接着利用ANSYS模拟支护前后围岩的应力和位移变化情况。从模拟结果能够得知,所采取的支护方案可以有效控制围岩变形,且支护参数合理。通过现场试验观测,设计的支护方式和支护参数基本满足井下正常生产的需要,但巷道上帮的变形仍较大,主要原因是上帮的松动破坏范围大,部分段已经超过了锚杆的锚固范围,因此建议适当增大上帮锚杆的长度,以更好地发挥其支护性能,进一步提高和改进支护效果。