A Physical Examination Method for Artificial Rainfall Effect Based on Radar Data

[Objective] This study aimed to establish a physical examination method for artificial rainfall effect based on radar data. [Method] The radar base data of Shenyang was processed with interpolation by using the nearest neighbor in radial and oriental direction to establish corresponding response variables, and the effect of a precipitation enhancement case was analyzed. [Result] The trends of response variables showed that there was certain positive effect of the precipitation enhancement operation. [Conclusion] The analysis on a case was not sufficient enough, and statistical test should be the future direction of the study on the physical effect.

Highlights of the physical examination in heart failure

Because decompensated heart failure(HF)patients present primarily with symptoms of congestion,the assessment of volume status is of paramount importance.Despite the addition of new technologies that can predict intracardiac filling pressures,the physical exam(PE)remains the most accessible and cost-effective tool available to clinicians.An elevated jugular venous pressure(JVP) is considered the most sensitive sign of volume overload,although the commonly used‘method of Lewis’has several limitations.A useful cutoff is that if the JVP is greater than 3 cm in vertical distance above the sternal angle,the central venous pressure is elevated.In addition to assessment of volume status,the PE in HF can reveal adverse prognostic signs,namely:elevated JVP,presence of third heart sound,elevated heart rate,low systolic BP,and low proportional pulse pressure(＜25%).This article will review the evidence for the diagnostic and prognostic utility of common PE findings in HF.

Research on the Correlation Between Physical Examination Indexes and TCM Constitutions Using the RBF Neural Network

Objective To establish correlation models between various physical examination indexes and traditional Chinese medicine(TCM)constitutions,and explore their relationships based on the radial basis function(RBF)neural network.Methods The raw data of physical examination indexes and TMC constitutions of 650 subjects who underwent a physical examination were cleaned,classified and sorted,on the basis of which valid data were retrieved and categorized into a training dataset and a test dataset.Subsequently,the RBF neural network was applied to the valid samples in the training set to establish correlation models between various physical examination indexes and TCM constitutions.The accuracy and the error margin of the correlation model were then verified using the valid samples in the test set.Results Of all selected samples,the highest accuracy rates were 80% for the blood lipid index-TCM constitution model;100% for the renal function index-TCM constitution model;100% for the blood routine(male)index-TCM constitution model;88.8% for the blood routine(female)index-TCM constitution model;84.1%for the urine routine index-TCM constitution model;and 100% for the blood transfusion index-TCM constitution model.Conclusions The samples selected in this study suggested that there is a strong correlation between physical examination indexes and TCM constitutions,making it feasible to apply the established correlation models to TCM constitution identification.

Conducting a Correlation Model Between TCM Constitution and Physical Examination Index Based on BPNN Algorithm

This paper studies the correlation between Traditional Chinese Medicine(TCM)Constitution discrimination and physical examination index based on BPNN algorithm.253cases of routine urine test were used to build a linkage model between TCM Constitution and physical indicators via BPNN algorithm.According to the test,the correct rate of learning and test group are60%and40%,respectively.A strong correlation was found between TCM Constitution and physical examination indexes.By applying cutting-edge knowledge and technologies,the development and modernization process of TCM can be greatly promoted.

Constitution Identification System for Traditional Chinese Medicine (TCM) Based on Correlation Between TCM Constitution and Physical Examination Indices

Objective Identification of one’s constitution based on a combination of features and back propagation neural network theory is needed in modern medicine and traditional Chinese medicine(TCM).We describe a method to identify one’s constitution based on TCM constitution classification and a physical index model.Methods We created a constitution identification system based on neural network using Visio Studio development tool.We report the initial implementation of the system,the accuracy of which was verified using actual data.Results We found a relatively strong correlation between TCM constitution and physical indicators.Conclusion Finally,our report describes a possible application of the proposed system.

Using physical examinations to estimate age in elementary school children:A Chinese population-based study

Background:Designing a simple and accessible approach to age estimation in children and youth is a great challenge in the fields of sports and physical activity(PA).This study was designed to develop and validate a physical-examination-based method of estimating age in young children.Methods:In a cross-sectional study conducted in 2014,we performed physical examinations and assessed PA among 14,970 elementary school children 7–12 years old in Shanghai,China.Additional biological information on the children's height and birth date was ascertained through their parents.Two indicators were applied to develop a gender-specific age estimation equation:The percentage of predicted mature height(PPMH) and the Tanner stage.The equation was validated through a k-fold cross-validation approach.To check for estimation accuracy,the association between the discrepancy of estimated age(EA) and chronological age and PA was examined.Results:The gender-specific equations of EA were as follows:EA_(boy) = –6.071 + 6.559 Tanner 2 + 13.315 Tanner 3 + 14.130 Tanner 4 + 0.190 PPMH – 0.071 Tanner 2 × PPMH – 0.146 Tanner 3 × PPMH – 0.155 Tanner 4 × PPMH;EA_(girl) = –4.524 – 1.251 Tanner 2 + 2.504 Tanner 3 + 8.752 Tanner 4 + 11.893 Tanner 5 + 0.158 PPMH + 0.017 Tanner 2 × PPMH – 0.024 Tanner 3 × PPMH – 0.087 Tanner 4 × PPMH – 0.118 Tanner5 × PPMH.The mean absolute error was 0.60 years for boys and 0.59 years for girls.The discrepancy score was negatively and weakly associated with self-reported moderate-to-vigorous PA in both genders(r_(boy) = –0.09,p < 0.001;r_(girl) = –0.12,p < 0.001).Conclusion:Findings suggest that physical examinations could provide a valid and reliable approach for estimating age in young Chinese children.

Providing Physical and Mental Health Support Using Medical Examination Data and Perceived Health

Without ascertaining workers’ perceived health, it is difficult to achieve behavioral modification even if health guidance is conducted. To investigate physical and mental health support emphasizing “positive health,” we used the Total Health Index (THI) survey with the purpose of elucidating the association between medical examination data and perceived health. After obtaining medical examination data from 90 men, we analyzed their responses to the THI survey. The results suggested that age and abnormal medical examination data are associated with physical and mental complaints. In the analysis by age group, we found that men in their 20s had more complaints of irregularity of daily life on the THI scale. The group who responded that they were not getting enough sleep had higher mean values of total cholesterol and fasting blood sugar. The group who responded that their meals were irregular had higher mean values of Body Mass Index, aspartate aminotransferase, and alanine aminotransferase. As confirmed by the THI, continuously supporting lifestyle improvement is important. The THI of the “health guidance” group indicated fewer physical health complaints and more aggression/extroversion than the “normal” group. In those for whom health guidance was applicable, participants who were “obese” and “hypertensive” had more aggression/extroversion and lesser extent of nervousness. Based on these findings, it was suggested that meaningful, personalized health support can be developed.

Rhizosphere microbial markers (micro-markers): A new physical examination indicator for traditional Chinese medicines

Rhizosphere microorganisms,as one of the most important components of the soil microbiota and plant holobiont,play a key role in the medicinal plant-soil ecosystem,which are closely related to the growth,adaptability,nutrient absorption,stress tolerance and pathogen resistance of host plants.In recent years,with the wide application of molecular biology and omics technologies,the outcomes of rhizosphere microorganisms on the health,biomass production and secondary metabolite biosynthesis of medicinal plants have received extensive attention.However,whether or to what extent rhizosphere microorganisms can contribute to the construction of the quality evaluation system of Chinese medicinal materials is still elusive.Based on the significant role of rhizosphere microbes in the survival and quality formation of medicinal plants,this paper proposed a new concept of rhizosphere microbial markers(micro-markers),expounded the relevant research methods and ideas of applying the new concept,highlighted the importance of micro-markers in the quality evaluation and control system of traditional Chinese medicines(TCMs),and introduced the potential value in soil environmental assessment,plant pest control and quality assessment of TCMs.It provides reference for developing ecological planting of TCMs and ensuring the production of high quality TCMs by regulating rhizosphere microbial communities.

Accuracy of physical examination, ultrasonography, and magnetic resonance imaging in predicting response to neo-adjuvant chemotherapy for breast cancer

Background Accurate evaluation of response following chemotherapy treatment is essential for surgical decision making in patients with breast cancer. Modalities that have been used to monitor response to neo-adjuvant chemotherapy （NAC） include physical examination （PE）, ultrasound （US）, and magnetic resonance imaging （MRI）. The purpose of this study was to evaluate the accuracy of PE, US, and MRI in predicting the response to NAC in patients with breast cancer. Methods According to the response evaluation criteria in solid tumors guidelines, the largest unidimensional measurement of the tumor diameter evaluated by PE, US, and MRI before and after NAC was classified into four grades, including clinical complete response, clinical partial response, clinical progressive disease, clinical stable disease, and compared with the final histopathological examination. Results Of the 64 patients who received NAC, the pathologic complete response （pCR） was shown in 13 of 64 patients （20%）. The sensitivity of PE, US, and MRI in predicting the major pathologic response was 73%, 75%, and 80%, respectively, and the specificity was 45%, 50%, and 50% respectively. For predicting a pCR, the sensitivity of PE, US, and MRI was 46%, 46%, and 39%, respectively, and the specificity was 65%, 98%, and 92% respectively. Conclusions Compared with final pathologic findings, all these three clinical and imaging modalities tended to obviously underestimate the pCR rate. A more appropriate, universal, and practical standard by clinical and imaging modalities in predicting the response to neo-adjuvant chemotherapy in vivo is essential.

A New Physical Examination Technique for Evaluating Valgus Knee Deformity： Swing Test

INTRODUCTIONRestoring mechanical alignment and soft tissue balance in total knee arthroplasty （TKA） for valgus knees depend on the origin of deformity and soft tissue status. Valgus deformity can exist during knee flexion besides extension, which could lead to patellofemoral joint instability and soft tissue imbalance in the flexion gap, and thus complicate the surgical procedures.

Physical Examination Data Based Cataract Risk Analysis

Cataract is a very common eye disease and the most significant cause of blindness.In consideration of its burden on society,the focus was put on testing the risk factors of cataract and building robust machine learning models in which these factors can be utilized to predict the risk of cataract.The data used herein was collected by a Chinese physical examination center located in Shanghai.It contains more than 120,000 examinees and about 500 physical examination metrics.Firstly,association rules were adopted to filter 39 abnormalities which are more likely to incur the risk of cataract,and the significance of these abnormalities was tested with univariate analysis and multivariate analysis.The test results indicate that age,diabetes,refractive error,retinal arteriosclerosis,thyroid nodules,and incomplete mammary gland degeneration significantly increase the possibility of cataract.Various machine learning models were compared in terms of their performance in predicting the risk of cataract based on these six factors,among which the logistic regression model and the decision-tree based ensemble methods outperform others.The test set A U C of these models can reach 0.84.

The role of serial physical examinations in the management of angioedema involving the head and neck:A prospective observational study

Objective:To elucidate the progression of angioedema of the head and neck with routine management and to assess the utility of serial physical exams and fiberoptic laryngos-copy in its management. Methods:This study was a prospective observational research. From 2013 to 2014, a prospec-tive observational study was conducted at a tertiary referral center. Forty patient were ap-proached, 7 refused, 33 (18e90 years old) were enrolled. Patients presented with angioedema involving the head and neck over a 12 month period were asked to participate in the study. Physical examination and fiberoptic laryngoscopy were performed at presentation and then repeated at least 1 h later. Results:Thirty-three patients with head and neck angioedema from any cause were enrolled (mean age 58, range 23e89 years). The upper lip was the most commonly involved site (58%). On reevaluation, 82% of patients reported subjective improvement in symptoms. Theassociation between subjective improvement and the physical exam, including fiberoptic laryngoscopy findings, was statistically significant (P<0.001). Conclusion:In stable patients with angioedema of any head and neck subsite, self-reported symptoms are associated with clinical stability or improvement as assessed by physical signs and fiberoptic laryngoscopy. Patients’ symptoms may be an appropriate surrogate to monitor clinical status without the need for routine serial physical examinations or fiberoptic laryngos-copy, though further study is needed. Copyright a 2016 Chinese Medical Association. Production and hosting by Elsevier B.V. on behalf of KeAi Communications Co., Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

规范化体检管理流程对健康体检人群满意度及不良事件的影响

目的 探讨规范化体检管理流程对健康体检人群满意度及不良事件的影响。方法 选取2021年8月—2022年8月到佛山市中医院健康管理中心体检的74名健康人群为研究对象,依据随机数字表法分为2组,各37名。对照组采用常规体检流程,观察组采用规范化体检管理流程。比较2组体检时间及健康知识掌握评分、满意度评分及不良事件发生率。结果 观察组健康知识掌握评分高于对照组,体检时间短于对照组(P<0.05);观察组满意度评分包括健康宣教(8.36±0.65)分、沟通能力(8.21±0.92)分、主动服务(9.16±0.21)分、护理礼仪(9.18±0.32)分,高于对照组的(6.62±1.21)、(6.45±1.35)、(8.26±0.56)、(8.05±0.45)分,差异有统计学意义(P<0.05)。观察组不良事件总发生率低于对照组(P<0.05)。结论 规范化体检管理流程应用在健康体检人群体检中效果明显,可缩短体检时间,提高体检满意度,减少不良事件发生率。

基于Kano模型的社区健康体检系统服务设计研究

目的探索新型社区健康体检模式,构建新型社区健康体检服务设计框架,提升社区健康体检服务质量。方法通过文献调研国内外居民健康体检现状,运用用户访谈、问卷调查等方式归纳社区居民的健康体检需求,制作用户旅程地图。通过Kano模型,将社区居民健康体检的12项需求进行优先级排序,应用服务蓝图构建社区健康体检服务系统。结果梳理社区居民体检流程,结合线下、线上两个使用场景,完成了社区居民健康体检舱及其应用软件的设计,满足了社区居民多样化的体检需求。结论Kano模型可以有效地分析社区居民对体检舱的功能需求优先级,结合服务设计理念,完成了社区健康体检系统的设计策略分析及设计实践,为社区居民提供便利、快捷的体检服务,对提升社区居民生活幸福指数有重要意义。

非肥胖人群胆结石检出率与危险因素分析

目的调查非肥胖体检人群胆结石检出率及其危险因素。方法2021年1月~2021年12月西安交通大学第二附属医院健康管理中心参加体检的非肥胖人群(BMI≤24 kg/m^(2)),行腹部超声和血生化检测。结果2021年度参加体检人群66221例,超重人群31427例,发现胆结石1591例(5.1%),有胆囊切除术862例(2.7%),非肥胖人群34794例,发现胆结石1309例(3.8%),胆囊切除术657例(1.9%),两组差异显著(P<0.001);非肥胖胆结石患者女性、年龄大、高BMI占比高,SBP、DBP、FBG、TG、TC、LDL-C、UA、ALT、AST、ALP、GGT、TBIL水平和合并脂肪肝者更高(P<0.001);采用多因素Logistic回归分析显示年龄、女性、BMI、FBG、GGT和脂肪肝是非肥胖人群胆结石发生的独立危险因素,而HDL-C则为保护性因素(P<0.001);非肥胖胆结石患者女性占65.0%,≥45岁者占62.4%,高SBP占32.7%,低HDL-C占29.4%、高LDL-C占27.3%、高TG占24.6%、高DBP占21.3%、高TC占21.3%、高FBG占19.6%、脂肪肝占16.8%和高UA占16.0%。结论非肥胖人群胆结石检出率显著低于超重人群,但这些人群中的女性、血糖、血脂代谢紊乱和合并脂肪肝者仍可存在胆结石,需要注意监测和防治。

新疆乌鲁木齐市老年体检人群肺结节检出情况及影响因素分析

目的了解新疆乌鲁木齐市老年体检人群肺结节检出情况,分析肺结节的影响因素。方法整群抽取2019年1月-12月在新疆医科大学第一附属医院健康管理中心体检的老年人群为研究对象,收集一般资料和临床资料,采用χ^(2)检验和Logistic回归分析研究肺结节的影响因素。结果3033名老年体检人群中,检出肺结节1775例,肺结节检出率为58.52%。肺结节以多发为主,占63.21%(1122/1775);分布在双肺最多44.56%(791/1775)、右肺次之36.68%(651/1775)、左肺最少18.76%(333/1775)。单因素分析显示:年龄(χ^(2)=21.986,P<0.001)、吸烟史(χ^(2)=11.564,P=0.001)与肺结节相关,差异有显著统计学意义;多因素分析显示,65~69岁(OR=1.330,P=0.003)、70~74岁(OR=1.352,P=0.012)、75~79岁(OR=1.686,P<0.001)、≥80岁(OR=1.451,P=0.004)、吸烟(OR=1.403,P<0.001)是肺结节的影响因素。结论老年体检人群肺结节检出率为58.52%,年龄、吸烟是肺结节的影响因素。

新课标实施背景下我国体育中考改革的现实困囿与纾解路径

体育中考作为当前我国一项国家层面的体育考试,对促进学生身心健康发展和提高学校体育工作质量发挥积极作用。通过文献资料法、逻辑分析法等对我国体育中考改革现状进行系统梳理,同时以《义务教育体育与健康课程标准(2022年版)》为参照,发现其存在考试目的偏离课标要求、考试内容与实践脱节、计分办法科学性不足、过程性评价形式化及特殊考生处理办法僵化等问题。在此基础上,分析问题成因并提出通过凝聚价值认同、优化评价内容、建立科学评价体系及健全管理和保障机制等路径纾解现实困囿,进而推进体育中考的科学改革。

基于“城市针灸”方法的存量公房活化模式研究——以广州市为例

在存量时代发展要求下,公房的管理使用成为广州实施城市更新过程中必须面对的挑战。文章回顾了国内外公房更新改造实践经验和“城市针灸”研究进展,结合广州实际情况选取老城区6个较具代表性的公房集聚区开展田野调查与深度访谈,探讨存量公房如何实现有效活化利用的更新难题。结果表明:1)公房对租户的住房保障作用至关重要,尽管面临诸多现实困难,租户仍表现出强烈的社区归属感和邻里信任感,且认可公房的使用价值。2)在系统总结了翻新出售、功能转换和民生保障3种活化模式的基础上,提出广州的公房活化利用“以民生保障为主,其次是功能转换,最后才是翻新出售”。3)在实证基础上,文章回归关注“城市的人”,在人本主义视角、地理学范畴内进一步总结提炼基于“城市针灸”方法的存量公房活化模式分析框架,提出存量公房分类评价综合评估模型,用于判别公房的活化模式类型,并探讨了活化利用实施路径的4个步骤:查找问题,精准诊断;以人为本,点出“穴位”;“穴位”活化,以点带面;良性互动,循环渐进。

健康体检机构呼吸道传染病疫情防控管理标准化研究

本文根据健康体检机构特点和疫情防控需求,从组织保障、物资配备、场所管理、工作人员管理、受检者管理、消毒隔离、传染病疫情报告、应急处置等方面,提出健康体检机构疫情防控管理标准化要点,明确标准研制思路,并提出进一步建议,以促进健康体检机构呼吸道传染病疫情防控管理的规范化。

全流程健康体检管理系统的设计与应用

目的解决体检管理系统信息孤岛问题,探索标准化、规范化的体检管理系统建设路径。方法健康体检管理系统设计依照体检业务检前、检中与检后流程设计,根据医院信息系统的医嘱字典定义体检检查项目名称与代码,利用主索引技术,通过医院集成平台直接从主数据的生产系统获取数据,实现临床数据与体检数据共享。结果该系统实现了体检者健康体检数据的互联互通及标准化管理,兼具终末管理及过程监督管理的需求。系统的应用有效降低了各体检套餐的开单耗时、缴费耗时与体检环节耗时,且差异均有统计学意义(P<0.05);显著提升了体检医生满意度(P<0.001),符合体检中心人员对系统的期望值。结论该系统的设计与应用改进了现有健康管理服务模式,有利于系统向分院区辐射与推广。