Analysis of the Significance of Key Points of Patient Interventional Psychological Care and Pain Care

Interventional therapy has become increasingly popular in clinical practice due to advancements in medical technology.However,patients often experience psychological and physiological pressure due to its invasive nature.The management of patient discomfort and tension is crucial to ensure effective treatment.Psychological and pain management are essential components of interventional therapy,as they significantly impact patient recovery and prognosis.This article discussed the importance of interventional psychological and pain care for patients,starting with the development and spread of interventional therapy.The significance of providing high-quality nursing services to patients and improving their quality of life was also discussed.

Identification of the key thermal points on machine tools by grouping and optimizing variables

The grouping and optimization approach to identify the key thermal points on machine tools is studied.To solve the difficulty in grouping because of the high correlated variables from distinct groups,the variables grouping technique is improved.Temperature variables are sorted according to their relativities with the thermal errors.The representative temperature variables are determined by analyzing the variable correlation in sort order and removing the other variables in the same group.Considering the diverse effect of importing the different variables on thermal error model,the method of variable combination optimization is improved.Regression models made up of different combination of representative temperature variables are evaluated by the index of both the determined coefficient and the average residual squares to select the combination of the temperature variables.For the machine tools with complicated structures which need more initial temperature measuring points the improvement is demanded.The improved approach is applied to a precision horizontal machining center to identify the key thermal points.Experimental results show that the proposed approach is capable of avoiding the high correlation among the different groups' variables,effectively reducing the number of the key thermal points without depressing the prediction accuracy of the thermal error model for machine tools.

The Research on the Methods to Confirm the Key Control Points of the Internal Accounting Control

The control points are the key issue of the internal control, and the key control points mean the control joints that play an important part in the process of the operation. If these key control points are not well controlled, the process of the operation disposal will be mistaken and cannot reach the goal. However, for the confirmation of the control points, many studies only do qualitative research from the important aspect instead of quantificational research. They are devoid of a series of scientific methods. This paper advances quantificational methods to confirm the key control points from two aspects of job evaluation and mathematics model.

SIX KEY POINTS FOR ACUPUNCTURE THERAPY

In the present paper, the author puts forward six key points for acupuncture treatment of diseases, namely, (1) careful examination, (2) definite diagnosis, (3) precise and appropriate identification of syndromes, (4) accurate location of the acupoint, (5) flexible application of needling manipulations, and (6) 'Deqi'. The first three aspects are the foundation, accurate location and flexible needling manipulations are also the prerequisite for effective treatment of diseases. In addition, sound theoretical basic knowledge of both traditional Chinese medicine (TCM) and modern medicine, and flexibly applying suitable needling maneuvers, stimulating quantity and duration of needle retaining in accordance with the concrete state of disease and the patient's conditions are also very important in clinical practice of acupuncture.

Difficulty Analysis of HVAC Construction and Key Analysis of Improved Technology

This paper expounds the concept of HVAC construction,specifically analyzes the current situation of HVAC construction in construction engineering,and focuses on the key and difficult points in HVAC construction.In order to provide an effective reference for improving the quality of HVAC construction in the current construction engineering,some suggestions are put forward for improvement of relevant technologies involved in key and difficult points.

CPC Central Committee and the State Council Issued the Decision to Specify the “Key Points” of the Universal Two-child Policy

The Decision of CPC Central Committee and the State Council on Full Implementation of the Universal Two-child policy and Innovation and Improvement of Family Planning Service Management（Hereinafterreferred to as the Decision）was announced on January 5,2016.China will implement a birth registration service system.

Key Points of Supervision of Third-Party Payment Business:A Comparative Analysis of China's Mainland and Macao

China's Mainland has witnessed remarkable achievements in payment innovations based on internet and financial technologies in recent years,whereas Macao has made little progress in financial technologies,especially in payment technologies.Based on the concept and types of third-party payment business in China's Mainland and Macao,as well as to investigate the causes for Macao’s lack of innovation in third-party payment,this study compares their differences from two aspects:business licensing authorities and key points of supervision.By comparison,although the classification and methods of third-party payment businesses are different between China's Mainland and Macao,they are all managed and licensed by a unified supervision department.Moreover,the key points of supervision in both places are similar,but unlike China's Mainland,which takes financial risk prevention as the principle and financial technology as the means to encourage innovation,Macao showed obvious deficiencies.In order to further deepen the connection between the financial markets of China's Mainland and Macao as well as boost financial technologies in Macao,this study aims to provide some suggestions and references for the development of cross-border payment systems.

Breeding and Cultivation Technique of Forage Foxtail Millet Variety Jicaogu 1

[Objective] This study was conducted to solve the problem of the lacking of special forage foxtail millet varieties. [Method] With wild large-grain foxtail millet as an original material, foxtail millet variety Jicaogu 1 （S724） for forage use was bred. [Result] Jicaogu 1 has following outstanding characteristics： （1） high content of crude protein： quality detection showed that the millet straw had a high content of crude protein up to 9.8%; （2） high yields of fresh grass and hay： in field detection, the average yield of fresh grass was 58 308.15 kg/hm2, which was higher than Sicao 2 （35 763.00 kg/hm2） by 58.29%, and the hay yield was 15 922.65 kg/hm2, which was higher than Sicao 2 （11 548.05 kg/hm2） by 37.88%; and （3） biological characteristics： Jicaogu 1 shows young seedlings with a growth period of 122 d, a plant height of 198.22 cm, an ear length of 23.65 cm, a stem/leaf ratio of 1.43 and a fresh weight/dry weight ratio of 37.86, there are 2-3 tillers generally, and the seed yield is 3 383.40 kg/hm2. [Conclusion] Summer seeding in vacant field in North China or spring seeding in Inner Mongolia could be carried out with Jicaogu 1, which is also adapt to mechanized harvest. The development of forage foxtail millet could be promoted by strengthening the extension of Jicaogu 1.

Real-Time Safety Behavior Detection Technology of Indoors Power Personnel Based on Human Key Points

Safety production is of great significance to the development of enterprises and society.Accidents often cause great losses because of the particularity environment of electric power.Therefore,it is important to improve the safety supervision and protection in the electric power environment.In this paper,we simulate the actual electric power operation scenario by monitoring equipment and propose a real-time detection method of illegal actions based on human body key points to ensure safety behavior in real time.In this method,the human body key points in video frames were first extracted by the high-resolution network,and then classified in real time by spatial-temporal graph convolutional network.Experimental results show that this method can effectively detect illegal actions in the simulated scene.

Definition and Classification of Meteorological Message and Its Editing Service Technique

Type of meteorological text message is identified,and concept and characteristics of meteorological message and its relationship with the weather forecast are cleared,and editing service technique of meteorological message and key points are analyzed finally.

DM Code Key Point Detection Algorithm Based on CenterNet

Data Matrix(DM)codes have been widely used in industrial production.The reading of DM code usually includes positioning and decoding.Accurate positioning is a prerequisite for successful decoding.Traditional image processing methods have poor adaptability to pollution and complex backgrounds.Although deep learning-based methods can automatically extract features,the bounding boxes cannot entirely fit the contour of the code.Further image processing methods are required for precise positioning,which will reduce efficiency.Because of the above problems,a CenterNet-based DM code key point detection network is proposed,which can directly obtain the four key points of the DM code.Compared with the existing methods,the degree of fitness is higher,which is conducive to direct decoding.To further improve the positioning accuracy,an enhanced loss function is designed,including DM code key point heatmap loss,standard DM code projection loss,and polygon Intersection-over-Union(IoU)loss,which is beneficial for the network to learn the spatial geometric characteristics of DM code.The experiment is carried out on the self-made DM code key point detection dataset,including pollution,complex background,small objects,etc.,which uses the Average Precision(AP)of the common object detection metric as the evaluation metric.AP reaches 95.80%,and Frames Per Second(FPS)gets 88.12 on the test set of the proposed dataset,which can achieve real-time performance in practical applications.

Contrast Enhancement Based Image Detection Using Edge Preserved Key Pixel Point Filtering

In existing methods for segmented images,either edge point extraction or preservation of edges,compromising contrast images is so sensitive to noise.The Degeneration Threshold Image Detection(DTID)framework has been proposed to improve the contrast of edge filtered images.Initially,DTID uses a Rapid Bilateral Filtering process for filtering edges of contrast images.This filter decomposes input images into base layers in the DTID framework.With minimal filtering time,Rapid Bilateral Filtering handles high dynamic contrast images for smoothening edge preservation.In the DTID framework,Rapid Bilateral Filtering with Shift-Invariant Base Pass Domain Filter is insensitive to noise.This Shift-Invariant Filtering estimates value across edges for removing outliers(i.e.,noise preserving base layers of the contrast image).The intensity values are calculated in the base layer of the contrast image for accurately detecting nearby spatial locations using Shift-Invariant base Pass Domain Filter(SIDF).At last,Affine Planar Transformation is applied to detect edge filtered contrast images in the DTID framework for attaining a high quality of the image.It normalizes the translation and rotation of images.With this,Degeneration Threshold Image Detection maximizes average contrast enhancement quality and performs an experimental evaluation of factors such as detection accuracy,rate,and filtering time on contrast images.Experimental analysis shows that the DTID framework reduces the filtering time taken on contrast images by 54%and improves average contrast enhancement quality by 27%compared to GUMA,HMRF,SWT,and EHS.It provides better performance on the enhancement of average contrast enhancement quality by 28%,detection accuracy rate by 26%,and reduction in filtering time taken on contrast images by 30%compared to state-of-art methods.

Arc-length technique for nonlinear finite element analysis

Nonlinear solution of reinforced concrete structures, particularly complete load-deflection response, requires tracing of the equilibrium path and proper treatment of the limit and bifurcation points. In this regard, ordinary solution techniques lead to instability near the limit points and also have problems in case of snap-through and snap-back. Thus they fail to predict the complete load-displacement response. The arc-length method serves the purpose well in principle, received wide acceptance in finite element analysis, and has been used extensively. However modifications to the basic idea are vital to meet the particular needs of the analysis. This paper reviews some of the recent developments of the method in the last two decades, with particular emphasis on nonlinear finite element analysis of reinforced concrete structures.

“营改增”对高技术服务业企业投资的影响--基于准自然实验的证据

以中国A股市场高技术服务业企业2009—2016的数据为样本,本文采用多时点DID探究“营改增”这一准自然实验对高技术服务企业投资水平的影响。研究表明,“营改增”的实施对高技术服务企业投资水平具有显著的正向促进效应,这一结论经过PSM-DID以及更换被解释变量的稳健性检验后依然成立。研究结论证实了“营改增”的落地可以激励高技术服务企业投资水平的提升,为后续深入推进税收优惠改革提供了一定的参考。

科技金融政策何以影响科技产业集聚发展?

基于2004—2019年288个城市数据,利用多期DID方法评估了促进科技和金融结合试点政策的科技产业集聚发展效应。研究发现:试点政策通过促进试点地区科技人才、科技企业集聚提升了科技产业集聚度,且表现为渐进的动态积累过程;通过安慰剂、PSM-DID、其他稳健DID估计等方法的检验结果均表明试点政策的科技产业集聚效应是稳健的;试点政策主要通过公共、市场科技金融及其交互机制提升科技产业集聚度,具体表现为,试点政策利用公共科技金融引导市场科技金融,发挥信号传递-资源配置效应、风险分担-融资拓展效应、科技成果转化-创新市场化效应,形成资金、人才与企业的良性互动,实现科技产业集聚发展;试点政策存在明显的发展水平、创新能力异质性,在发展水平高、创新能力强的地区产业集聚效应更显著。由此提出优化科技金融政策引导科技产业集聚稳健发展、有机协调发展的对策建议。

Multi-Branch High-Dimensional Guided Transformer-Based 3D Human Posture Estimation

The human pose paradigm is estimated using a transformer-based multi-branch multidimensional directed the three-dimensional(3D)method that takes into account self-occlusion,badly posedness,and a lack of depth data in the per-frame 3D posture estimation from two-dimensional(2D)mapping to 3D mapping.Firstly,by examining the relationship between the movements of different bones in the human body,four virtual skeletons are proposed to enhance the cyclic constraints of limb joints.Then,multiple parameters describing the skeleton are fused and projected into a high-dimensional space.Utilizing a multi-branch network,motion features between bones and overall motion features are extracted to mitigate the drift error in the estimation results.Furthermore,the estimated relative depth is projected into 3D space,and the error is calculated against real 3D data,forming a loss function along with the relative depth error.This article adopts the average joint pixel error as the primary performance metric.Compared to the benchmark approach,the estimation findings indicate an increase in average precision of 1.8 mm within the Human3.6M sample.

基于HACCP方法的科技查新质量监控体系研究

科技查新作为国家科技创新体系中的重要环节,能为各类科技评审活动提供客观评价依据。如何保障、提高科技查新的质量,把好科技评审的第一关,成为查新机构急需解决的重要课题。文章将危害分析及关键点控制方法(HACCP)引入科技查新全过程的质量控制中,使整个查新过程始终处于受控状态,降低了查新质量风险,为科技查新质量的提升提供了一条新的思路。