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.

An internet-based intervention program for supporting families with prematurely born infants

The purpose of this paper was to describe the development, planning and implementing of an internet-based intervention program for providing support to families with prematurely born infants. During the families initial stay at home with their infant;families were given access to use of videoconference system from their home to have contact with staff at the neonatal unit, via direct link, throughout twenty-four hours. This program successfully ended, and video-conferencing is incorporated as a tool to support families after coming home. Probably, a variety of factors has contributed to make this program successful, as for example user friendliness and the close collaboration between researchers and staff at the neonatal unit. In conclusion, Information and Communication Technology (ICT) must be taken into consideration in developing upcoming care, thereby making possible a program to extend accessibility to health care.

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.

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 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.

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.

Time Prediction Model of Personalized Affective Support Based on the Programming Process

In online programming education,if teachers can determine any difficulties their students are experiencing and provide support,it would significantly improve the outcome of their teaching.This paper describes an attempt to build a time prediction model on the demand for personalized affective support based on a modified version of the Synthetic Minority Over-sampling Technique.We designed and conducted a data collection experiment based on the specific features of the affective support.Meanwhile,the modified oversampling algorithm can ascertain the time for providing such support for learners,which solves the problem of a class imbalance distribution.In addition,we obtained a sorting algorithm of the time prediction regarding the demand for personalized affective support in programming learning and constructed a time prediction model on the demand for affective support.Meanwhile,we conducted experiments on both public data and our own collected data to verify the effectiveness of the constructed model.The results show that the model is able to judge whether learners need affective support during the writing code process.

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.

A DSS for Human Resettlement: Supporting Interactive Optimal Decisions

Decisions regarding relocation of people due to environmental requirements can be very complex and may have serious socio-economic implications. We present the design of a Decision Support System to support such decision making processes involving many inputs, human preferences and multiple objectives.

Influencing program satisfaction for undergraduate students in STEM areas:The impact of interdisciplinary features,disciplinary connectedness,faculty support,and examination difficulty

Ensuring program satisfaction for undergraduate students in the areas of science,technology,engineering and mathematics(STEM)matters in student retention and education quality improvement.This study explores how four rarely examined variables support from faculty members,interdisciplinary features of STEM program courses,disciplinary connectedness of STEM program core courses,and examination difficulty impact Chinese STEM undergraduates’program satisfaction.With data from 619 Chinese STEM undergraduates,structural equation modeling shows that course satisfaction partially mediates the impact of support from faculty members on program satisfaction,while fully mediating that of interdisciplinary features of STEM program courses and disciplinary connectedness of STEM program core courses on program satisfaction.Examination difficulty exerts no significant impact on program satisfaction neither directly nor indirectly.Support from faculty members impact course satisfaction significantly stronger for junior and senior students than for freshmen and sophomores,while interdisciplinary features of STEM program courses impact course satisfaction stronger for freshmen and sophomores than for juniors and seniors.The study ends with practical implications for the higher education reform in relevant areas.

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。

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。

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。

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。

美国公共图书馆心理健康活动项目和服务的实践分析与启示

通过分析美国公共图书馆心理健康活动项目,从公共图书馆队伍优化、资源建设、用户活动3个方面为我国图书馆心理健康服务提供启示和指导。结果表明,心理健康项目的制定和实施应对3方面进行整合。因此,本文提出了我国公共图书馆发展、实施和促进心理健康服务的3项建议:增强图书馆工作人员培训教育;构建图书馆资源–培训–服务一体化体系;开展图书馆心理健康系列活动。