Clinical value of precise rehabilitation nursing in management of cerebral infarction

BACKGROUND Cerebral infarction,previously referred to as cerebral infarction or ischemic stroke,refers to the localized brain tissue experiencing ischemic necrosis or softening due to disorders in brain blood supply,ischemia,and hypoxia.The precision rehabilitation nursing model for chronic disease management is a continuous,fixed,orderly,and efficient nursing model aimed at standardizing the clinical nursing process,reducing the wastage of medical resources,and improving the quality of medical services.AIM To analyze the value of a precise rehabilitation nursing model for chronic disease management in patients with cerebral infarction.METHODS Patients(n=124)admitted to our hospital with cerebral infarction between November 2019 and November 2021 were enrolled as the study subjects.The random number table method was used to divide them into a conventional nursing intervention group(n=61)and a model nursing intervention group(n=63).Changes in the nursing index for the two groups were compared after conventional nursing intervention and precise rehabilitation intervention nursing for chronic disease management.RESULTS Compared with the conventional intervention group,the model intervention group had a shorter time to clinical symptom relief(P<0.05),lower Hamilton Anxiety Scale and Hamilton Depression Scale scores,a lower incidence of total complications(P<0.05),a higher disease knowledge mastery rate,higher safety and quality,and a higher overall nursing satisfaction rate(P<0.05).CONCLUSION The precision rehabilitation nursing model for chronic disease management improves the clinical symptoms of patients with cerebral infarction,reducing the incidence of total complications and improving the clinical outcome of patients,and is worthy of application in clinical practice.

An Investigation into Large and Precise Instrument Management in Colleges and Universities

This paper studies how to manage large and precise equipment effectively in colleges and universities and proposes the necessity to establish experiment centers on the level of university and department. Finally, new thought on paying more attention to the construction of technical management team and gathering necessary expenses, such as use expenses, maintenance expenses, function development expenses, etc. is given out.

Delineation and Scale Effect of Precision Agriculture Management Zones Using Yield Monitor Data Over Four Years

In this study, precision agriculture management zones were delineated using yield data over four years from the combine harvester equipped with yield monitor and DGPS receiver. Relative yields measured during each year were interpolated to 4 m2 grid size using ordinary kriging. The resultant interpolated yield maps were averaged across years to create a map of the mean relative yield, which was then used for cluster analysis. The mean yield map of post-classification was processed by applying majority filtering with window sizes that were equivalent to the grid sizes of 12, 20, 28, 36, 44, 52 and 60 m. The scale effect of management zones was evaluated using relative variance reduction, test of significant differences of the means of yield zones, spatial fragmentation, and spatial agreement. The results showed that the post-classification majority filtering （PCMF） eliminated lots of isolated cells or patches caused by random variation while preserving yield means, high variance reduction, general yield patterns, and high spatial agreement. The zoned result can be used as yield goal map for preplant or in-season fertilizer recommendation in precision agriculture.

Advancing the precision management of inflammatory bowel disease in the era of omics approaches and new technology

There is great heterogeneity among inflammatory bowel disease(IBD)patients in terms of pathogenesis,clinical manifestation,response to treatment,and prognosis,which requires the individualized and precision management of patients.Many studies have focused on prediction biomarkers and models for assessing IBD disease type,activity,severity,and prognosis.During the era of biologics,how to predict the response and side effects of patients to different treatments and how to quickly recognize the loss of response have also become important topics.Multiomics is a promising area for investigating the complex network of IBD pathogenesis.Integrating numerous amounts of data requires the use of artificial intelligence.

Multidisciplinary management of hepatobiliary tumors in the era of precision medicine

Hepatobiliary tumor (HBT), one of the leading causes of cancer deaths globally, is more frequent in East Asia including China [1].HBTincludeslivercancer,cholangiocarcinomaandgallbladder cancer.HBTburdenvariesmarkedlybygenderandgeographic regionduetotheexposureofriskfactors.MajorityofthehepatocellularcarcinomasareassociatedwithhepatitisB-typevirus

Effects of Land Management Practices on Soil Water in Southwestern Mountainous Area, China

The effects of selected land management practices （cross-sloping tillage, ridge culture, organic manure, and straw mulch） on soil water conservation in a southwestern mountainous area, China, were studied during November 2002 to November 2004. The experimental field is divided into three parts based on soil layer depths, 0-60 cm （part Ⅰ）, 0-40 cm （part Ⅱ）, and 0- 20 cm （part Ⅲ）, and they all had the same slope azimuth （SE）, slope （10°）, and slope type （linear）. The experimental plots were subjected to the following treatments： cross-sloping tillage （CST）; cross-sloping tillage with organic manure （CST/ OM）; cross-sloping tillage with straw mulch （CST/SM）; contour ridge culture （CRC）; contour ridge culture with organic manure （CRC/OM）; and contour ridge culture with straw mulch （CRC/SM）, to identify the effects of management practices on soil water. Water contents were determined for soil samples collected, using a 2.2 cm diameter manual probe. Soil water was monitored once every five days from Nov. 20, 2002 to Nov. 20, 2004. The results indicated that, in the study stages, an integration of rainfall, evaporative losses, and crop transcription controlled the basic tendencies of profile （mean） soil water, while land management practices, to a certain extent, only modified its amount, distribution, and routing. Moreover, these modifications also mainly focused on the first 20 cm depth of topsoil layer. When each management practice was compared with control treatment, season changes of profile （mean） soil water were pronounced, while interannual changes among them were not significant. More comparisons indicated that, in the study stages, contour ridge culture had better effects than cross-sloping tillage. And under the same tillage, the combination of organic manure could achieve more than straw mulch. These management practices should be recommended considering the effectiveness of soil and water management techniques in the southwestern mountainous area, China.

ICT-based agricultural advisory services and nitrogen management practices:A case study of wheat production in China

Excessive use of nitrogen fertilizer in China and its adverse effects on agricultural production have been a national and global concern.In addition to massive public initiatives to promote sustainable farm practices,grass-rooted innovations are emerging in the niche,many of which take the forms of information and communication technologies(ICT)and digital services.This study examines the effects of ICT-based extension services provided by an entrepreneurial startup on adopting sustainable farming practices.We found no significant reduction in N-fertilizer use for wheat production.But the ICT-based services promoted farmers to adapt N-fertilizer use towards site-specific management.The business model of the entrepreneurial venture faces great challenges in becoming participatory and financially sustainable.

From Parallel Plants to Smart Plants:Intelligent Control and Management for Plant Growth

Precision management of agricultural systems, aiming at optimizing profitability, productivity and sustainability, comprises a set of technologies including sensors, information systems, and informed management, etc. Expert systems are expected to aid farmers in plant management or environment control, but they are mostly based on the offline and static information, deviated from the actual situation. Parallel management, achieved by virtual/artificial agricultural system, computational experiment and parallel execution, provides a generic framework of solution for online decision support. In this paper, we present the three steps toward the parallel management of plant: growth description U+0028 the crop model U+0029, prediction, and prescription. This approach can update the expert system by adding learning ability and the adaption of knowledge database according to the descriptive and predictive model. The possibilities of passing the knowledge of experienced farmers to younger generation, as well as the application to the parallel breeding of plant through such system, are discussed. © 2017 Chinese Association of Automation.

Sensors Dynamic Energy Management in WSN

A wireless sensor node is typically battery operated and energy constrained. Therefore, it is apparent that optimal energy management is one of the most important challenges in WSN development. However, energy management requires in-depth knowledge and detailed insight concerning specific scenarios. After Carrying out a large number of experiments in precision agriculture, we find that it is the sensors that have never been concerned consuming the most energy of the node. In order to conserve energy and prolong the lifetime of WSN, we design and carry out a dynamic energy management strategy for sensors. The basic idea is to shut down all sensors’ power when not needed and wake them up when necessary. Valuable conclusions are extracted and analyzed.

Determination of potential management zones from soil electrical conductivity,yield and crop data

One approach to apply precision agriculture to optimize crop production and environmental quality is identifying management zones. In this paper,the variables of soil electrical conductivity (EC) data,cotton yield data and normalized differ-ence vegetation index (NDVI) data in an about 15 ha field in a coastal saline land were selected as data resources,and their spatial variabilities were firstly analyzed and spatial distribution maps constructed with geostatistics technique. Then fuzzy c-means clustering algorithm was used to define management zones,fuzzy performance index (FPI) and normalized classification entropy (NCE) were used to determine the optimal cluster numbers. Finally one-way variance analysis was performed on 224 georefer-enced soil and yield sampling points to assess how well the defined management zones reflected the soil properties and produc-tivity level. The results reveal that the optimal number of management zones for the present study area was 3 and the defined management zones provided a better description of soil properties and yield variation. Statistical analyses indicate significant differences between the chemical properties of soil samples and crop yield in each management zone,and management zone 3 presented the highest nutrient level and potential crop productivity,whereas management zone 1 the lowest. Based on these findings,we conclude that fuzzy c-means clustering approach can be used to delineate management zones by using the given three variables in the coastal saline soils,and the defined management zones form an objective basis for targeting soil samples for nutrient analysis and development of site-specific application strategies.

Maize （Zea mays L.） Growth and Grain Yield under Conventional and Site-Specific Nitrogen Management in a Dryland Farming System

Large amount of pre-plant nitrogen （N） fertilizer results in low N use efficiency due to poor synchrony between soil N supply and maize N demand, especially during N sensitive growth stages. The objectives of the study were to compare growth and yield of maize （Zea rnays L.） under conventional and site-specific N management in a dryland farming system. The study, which was designed as randomized complete block design was conducted over three site-years under continuous maize cropping system in the semi-arid regions of the Limpopo Province in South Africa. Treatments of the study consisted of three N management strategies on a maize field planted to drought resistant SNK 2147 hybrid maize cultivar. Treatments were： （i） no N application （NO）, （ii） site-specific N at variable rates ranging between 18 kg N/ha and 33 kg N/ha based on soil analysis results （N l） and （iii） conventional and uniform N application broadcasted during planting at 58 kg N/ha （N2）. Sufficiency index as indication of N deficiency was determined using CCM-200 on maize leaves based on leaf numbers during maize vegetative growth stages V6, V10 and Vl4, and thereafter N was applied only when needed. The highest maize grain yield of 5.2 Mg/ha for N 1 was significantly higher （P 〈 0.05） than 3.2 Mg/ha and 4.0 Mg/ha of N0 and N2 in site-year I, respectively. Maize grain yield of 2.2 Mg/ha （Nl） at site-year ll was significantly higher （P _〈 0.05） than 1.7 Mg/ha of the NO. The maize growth and yield under N2 and N1 was compared, N1 required between 43% and 69% lesser N fertilizer as compared to N2 over site-years, and resulted in higher maize height, number of leaves per plant, leaf length, and leaf area than that of conventional N management strategy. Therefore, site-specific N management strategy sustains and improves growth and yield of maize using minimal N fertilizer as compared to conventional approach in low fertility soils of semi-arid regions in dryland farming systems. In examining the results of this study, there was a consistent benefit of site-specific N management strategy on improving growth and yield of maize while saving fertilizer use in small-scale dryland maize farming system.

DESIGN OF FARMLAND GIS FOR PRECISION AGRICULTURE

Precision Agriculture, also known as Precision Farming, or Prescription Farming, is a modern agriculture technology system, which brings ' precision' into agriculture system. All concepts of Precision Agriculture are established on the collection and management of variable cropland information. As the tool of collecting, managing and analyzing spatial data, GIS is the key technology of integrated Precision Agriculture system. This article puts forward the concept of Farmland GIS and designs Farmland GIS into five modules, and specifies the functions of the each module, which builds the foundation for practical development of the software. The study and development of Farmland GIS will propel the spreading of Precision Agriculture technology in China.

Improving Internationally Core Competences Based on the Capabilities of Precise and Accurate Project Management

Modern international project management has entered the phase of precise and accurate project management after the global financial crisis broke out at the beginning of the 21 stcentury. However, its development has faced new challenges since there has been lack of explicitly unanimous definition for the capability dimensions of precise and accurate project management, as well as the models and their process control parameters. The required core capabilities based on the precise and accurate project management for various rings are involved in the project life cycle, namely, the required internationally core competences and their components for the phases of project strategic planning and decision making in the early project phase, as well as the value engineering, and the project supervision and controls during the execution phase.Through studying the effects of the internationally core competences based on precise and accurate project management capabilities for the success and excellence of projects and configuring such models, the goal is to help the main contractors continuously obtain project success and excellence, thus improve its internationally core competences with continuous project success and excellence.

Precision Livestock Farming: The Opportunities inPoultry Sector

Precision management of animals using technology is one innovation in agriculture that has the potential to revolutionizewhole livestock industries including the poultry sector. Limited research in precision livestock farming (PLF) in the poultry productionhas been so far conducted and most of them are conducted within the past 5-10 years. The PLF collects real-time data from individual orgroup of animals or birds using sensor technology, and involves the multidisciplinary team approach to give it a reality. Poultry scientistsplay a central role in executing poultry PLF with collaboration from agri-engineers and computer scientists for the type of measurementsto be made on biological or environmental variables. A real-time collection of environmental, behavioral and health data from birdgrow-out facilities can be a strong tool for developing daily action plans for poultry management. Unlike other livestock farming, theattributes of poultry rearing such as a closed housing system and vertically integrated industry provides a greater opportunity for poultrysector to adopt technology-based farming for enhanced production output.

尿路造口患者全程规范化精准化管理方案的实施及效果评价

目的:探讨全程规范化精准化管理方案在尿路造口患者管理的实践及效果。方法:采用回顾性研究方法,选择重庆医科大学附属第一医院2022年1月1日至2022年12月31日按常规护理方案行全膀胱切除术+回肠尿流改道术的12例患者作为对照组,将2023年1月1日至2023年12月31日按全程规范化精准化护理方案的13例患者作为观察组,比较2组患者Kris-tensen泌尿造口自护量表(the urostomy education scale,UES)和肠造口接受度问卷(stoma acceptance questionnaire,SAQ)得分。结果:试验组较对照组在尿路造口自我护理能力及尿路造口接受度方面均有统计学差异(P<0.05或P<0.01)。结论:全程规范化精准化管理方案有利于尿路造口患者的管理,值得推广运用。

数据和需求双重驱动的高校图书馆精细化科研评价服务研究--以北京师范大学图书馆为例

文章以北京师范大学图书馆为例,介绍了数据和需求双重驱动的精细化科研评价服务实践和取得的创新与突破,梳理了全生命周期科研成果数据管理方案,总结了基于管理决策需求、学科和学院需求、学术研究需求、人才评估需求和社会用户需求形成的多元科研评价需求体系,以及在此基础上提供的评价服务。旨在分享交流高校图书馆科研评价服务的经验,为提高服务质量,促进高校加强科研管理,以及进一步开展相关问题研究提供思路和参考。

技术转移分层靶向机制构建研究

技术成果“转出去”是发挥创新驱动效能与缓解技术转移困境的重要举措,其离不开技术需求管理的有效支撑。研究发现,缺乏对技术需求微观层次属性的关注是导致技术成果转不出去的重要原因。基于分层次管理理论,从技术需求微观层次视角出发,构建以技术需求精细化分层体系为核心,以精准识别、分层靶向、精准反馈、精准管理为关键要点的技术转移分层靶向机制。依托知识产权制度保障与大数据驱动的有效支撑,技术转移分层靶向机制可有效促进技术供需主体精准对接,引导技术创新要素分层次组合与配置,更有效地将技术成果“转出去”。

“精准滴灌式”党员教育管理模式在高校学生社区中的实践运用

当前,高校要推进“一站式”学生社区综合管理工作必须紧紧围绕党建引领,将党建文化、专业学习、校园文化等内容充分融入到社区管理和活动之中,使学生社区切实成为融思想教育、行为导向、生活服务、文化熏陶为一体的“第二课堂”主阵地和学校立德树人的新高地。近年来,韶关学院积极探索“精准滴灌式”党员教育管理模式在高校学生社区的实践运用,尤其在强化党建引领、优化社区软硬件设施建设、凸显学生自我管理的主体作用与持续推进和完善制度建设等方面,为“一站式”学生社区综合管理的深入开展提供强有力的平台与保障,确保其在立德树人根本任务上发挥实效。

数字化在奶业现代化发展中的应用研究

随着信息技术的发展,全球已经进入数字经济时代。奶业是农业现代化的代表性产业,加快数字化转型是抢抓新一轮科技革命和产业变革机遇的必然选择。国家出台了一系列政策措施推动奶业数字化、智能化发展,信息技术、数字技术、人工智能技术开始不断应用到奶牛养殖、生鲜乳运输,以及乳制品加工、销售、仓储、物流等全产业链的各个环节。在养殖环节,数字化可以帮助牧场降低饲料、疫病防治、人工等环节的成本,有效提高牧场生产效率,保障牧场质量安全水平,帮助牧场实现精准化管理决策,为行业发展注入新的动能。未来,在养殖成本增加、环境约束趋严、外部挑战加剧的背景下,奶业数字化将成为产业发展的必然趋势。

CHS-DRG付费制度下药物治疗路径化管理在骨科围手术期合理预防性使用重组人促红细胞生成素的应用效果研究

目的:探讨基于国家医疗保障疾病诊断相关分组(CHS-DRG)付费方式改革下,围手术期重组人促红细胞生成素(rhEPO)路径化管理在骨科的应用效果。方法:采用德尔菲法,经过2轮计划-执行-检查-行动(PDCA)循环优化,制定了rhEPO药物治疗路径。以2022年3—7月该院骨科住院患者为管理前组,2023年3—7月的患者为管理后组。选取rhEPO使用率最高的8个DRG病种,比较管理前后的效益指标(次均住院费用、次均药品费用、平均住院时间、rhEPO使用合理率、输血率)改善程度。结果:与路径化管理前比较,路径化管理后骨科住院患者的次均住院费用由58 829.79元降至48 259.29元(P<0.05),次均药品费用由3 311.23元降至2 987.52元(P<0.05),平均住院时间由10.1 d缩短至8.05 d(P<0.01),差异均有统计学意义;rhEPO使用合理率由26.27%(62/236)提高至91.54%(238/260),输血率由34.66%(165/476)降至25.57%(169/661)。结论:通过路径化管理模式制定药物标准化方案,可优化资源配置,提高医疗质量,有效改善DRG病种效益指标。