Introduction of PIC/S Accession Procedure and Suggestions for Establishing a Unified Quality Management System in China

Objective To introduce the accession procedure and evaluation of PIC/S,and help relevant departments in China to understand the requirements of PIC/S in detail,and to promote the process of China’s entry into PIC/S.Methods The procedures and steps of joining PIC/S,the evaluation process of PIC/S,and the experience of several countries in joining PIC/S were introduced and analyzed,which could help the relevant personnel in China understand the specific contents.Results and Conclusion According to the requirements of PIC/S,it is necessary to establish a unified GMP quality management system.

基于B/S架构的远程会诊质控系统的设计与应用

目的研发远程会诊质控系统,在区域内实现远程会诊质控、管理、监管、考评、统计和持续改进的信息化。方法2020年,组建多学科团队,运用智力激励法和专题小组讨论法,基于B/S架构研发远程会诊质控系统,与既有远程会诊信息系统完全嵌合兼容,满足远程会诊全流程质量管理的功能需求。结果针对远程会诊质控工作要求,系统设计研发了质控管理、质控考评、实时监管、统计分析4个子模块,可满足远程会诊全流程质量管理的功能需求。结论该质控系统创新了远程会诊信息化质量管理模式,在区域内实现了远程会诊全流程的信息化管理,取得了较好的质量管理成效,有效促进区域内远程会诊工作的推进和发展。

基于B/S和SOA架构的LIMS系统设计与研究

为提升水质检测业务的专业化、智能化、系统化、自动化水平,针对新发展阶段下水利高质量发展对水质信息管理的需求,研究并开发基于B/S系统架构和SOA设计架构的新型综合性水质信息管理系统(LIMS),运用仪器谱图识别及数据提取、PHP与MySQL融合、仪器谱图与原始记录自动关联等技术,在一定程度上提高水质数据的电子化无纸化获取、处理、传输及应用等方面的管理水平,实现水质检测业务流程与资源的动态关联和闭环追溯,提升水质监测评价工作的管理效率和质量管理能力。基于B/S和SOA架构的LIMS在前沿高新技术中的应用研究,为水质检测和管理的各项活动提供智能、高效的数据支持平台,也为水利行业信息系统管理建设及水域功能监测监管提供技术支撑。

基于D-S证据理论的农作物气候品质预测方法研究:以晚熟杂交柑橘春见为例

【目的】基于多源气象数据构建果实品质(糖含量等级)预测模型,为科学评价果实气候品质及深入挖掘农产品气候资源提供科学依据。【方法】以晚熟柑橘春见果实为研究对象,利用多源数据融合技术、人工神经网络(BP神经网络、RBF神经网络和Elman神经网络)和D-S证据理论,包括气象数据质量控制、特征选取、特征级融合、决策级融合4个步骤,构建基于多源气象数据的果实品质(糖含量等级)预测模型。【结果】春见果实品质预测模型采用BP神经网络预测结果总体准确率为87.50%,平均绝对误差(MAE)为0.150,均方根误差(RMSE)为0.447;RBF神经网络预测结果总体准确率为85.00%,MAE为0.175,RMSE为0.474;Elman神经网络预测结果总体准确率为87.50%,MAE为0.150,RMSE为0.447;D-S证据理论决策融合总体预测准确率达95.20%,分别较BP神经网络、RBF神经网络和Elman神经网络提升7.7百分点、10.2百分点和7.7百分点,MAE和RMSE分别为0.040和0.214,均明显降低。【结论】D-S证据理论决策融合后的果实品质预测准确率相比单一神经网络预测更高、误差更小。

Relationship between chromatin organization, mRNAs profile and human male gamete quality

Spermiogenesis is a complex process leading to the formation of motile spermatozoa characterized by a highly stable chromatin compaction that transfers the paternal genome into the oocyte. It is commonly held that these haploid cells are devoid of transcriptional and translational activities and that the transcripts represent remnants of stored mRNAs. Recently, the chromatin organization of mature spermatozoa has been revisited as a double nucleoprotamine-nucleohistone structure possessing less-condensed regions sensitive to nuclease activity, which could be implicated in the expression of genes involved in the early embryo development. The existence of a complex population of mRNAs in human sperm is well-documented, but their role is not yet elucidated. Evidence for a latent transcriptional capacity and/or a potential de novo translation in mature spermatozoa from fertile men are essential for understanding the last steps of sperm maturation, such as capacitation and acrosome reaction. As such, we have documented the relationship between sperm quality and the distribution of sperm RNAs by showing divergent levels of transcripts encoding for proteins involved in either nuclear condensation （protamines 1 and 2） or in capacitation （eNOS and nNOS, c-myc） or in motility and sperm survival （aromatase） between low and high motile sperm issued from the same sample. Therefore, analyzing the profile of mRNAs could be helpful either as a diagnostic tool for evaluating male fertility after spermatogenesis or for prognosis use for fertilization.

经验小波变换和改进S变换结合的电能质量检测与识别方法

为分析不确定干扰因素影响下的实际电力网络电能质量问题,提出一种经验小波变换(EWT)和改进S变换相结合的电能质量检测与识别方法。该方法一方面利用EWT联合归一化直接正交(NDQ)算法和奇异值分解(SVD)算法准确提取调幅-调频分量的频率、幅值和时间参数,另一方面考虑到EWT算法在高噪声环境下瞬时幅值波动的问题,引入改进S变换提取高噪声干扰下的电能质量扰动时频信息,最后,基于EWT和改进S变换提取的扰动特征向量,利用基于改进粒子群优化算法(IPSO)优化支持向量机(SVM)的电能质量扰动识别分类器实现扰动类型的精确识别。仿真和实验表明所提方法在复合扰动识别分类时平均识别准确率为93.23%,且能够准确识别4种实测扰动信号。

Advancing the quality of care and nursing practice through emancipatory reflection

Reflection is a fundamental skill of health-care professionals and plays an important role in ensuring the quality of care in health-care practice. It is believed that undertaking reflection in practice can help nurses develop an awareness of a sense of personal power and agency, cultivate their critical thinking ability and help them promote their professional development. However, reflection has not been introduced widely as a nursing curriculum in China, and literature shows that some clinical nurses lack critical thinking skills and critical reflective practice skills by reason of not receiving systematic education on reflection when they were at nursing college.Therefore, we present a series of seven articles focused on prevalent and interesting practice-based events to reflect on in this special issue. The main aim is to disseminate reflective methodology and techniques and present examples of reflective writing for nurses.It is expected that these articles will help to lead Chinese nurses to adopt critical emancipatory reflective processes to bring about transformative actions.

Factors influencing quality of life in Chinese patients with dementia: a systematic review

Background:Dementia is a group of nervous system diseases characterized by progressive cognitive decline,leading to a loss of self-care ability and a decline in well-being.This places a significant burden on the global healthcare system,with Chinese patients accounting for approximately one-quarter of the world’s dementia cases.Therefore,it is crucial to identify factors that impact the quality of life(QOL)among elderly Chinese individuals with dementia.Method:To achieve this,we conducted a comprehensive search of several databases,including PubMed,Embase,Web of Science,the Cochrane Library,China National Knowledge Infrastructure,Wanfang Data,China VIP Database and China Biomedical Literature Database.We reviewed cross-sectional studies from the inception of these databases until March 27,2022.QOL outcomes were assessed using standardized scales in the studies included in this review.Results:The search yielded a total of 1,235 relevant articles,from which we finally included 21 cross-sectional studies and one longitudinal study after rigorous quality assessment.Among these,10 studies were classified as high quality,while 12 were classified as fair quality.Through our analysis,we identified 28 patient-rated QOL factors and 14 caregiver-rated QOL factors.These factors were categorized into three groups:patient,disease-related and caregiver.Factors commonly found to influence patient-rated QOL included age,education,marital status,depression,self-care ability,dementia severity,cognitive function,behavioral and psychological symptoms of dementia and caregiver burden.Similarly,factors commonly influencing caregiver-rated QOL included economic status,depression,self-care ability,dementia severity,cognitive function,behavioral and psychological symptoms of dementia and caregiving time.Conclusion:This review clarifies the factors that influence the QOL of Chinese individuals with dementia.When implementing interventions,it is crucial to consider the differences between patient-rated QOL and caregiver-proxy-rated QOL,as well as their respective influencing factors.

Construction of the All-region Linkage System for Emergency Management of Agricultural Product Quality and Safety in West China

Quality and safety of agricultural products are significant for national socioeconomic development,sustainable development,and vital interests of people.To safeguard quality and safety of agricultural products in west China is to safeguard economic safety and ecological safety of the country,public health and social stability,of which an important task is to properly handle emergencies concerning quality and safety of agricultural products.Considering actual conditions of west China,suggestions are given to construct the all-region linkage system for emergency management of agricultural product quality and safety in the local area,enhance the all-region linkage,and improve the linkage efficiency.

Quality Safety Standards of Organic Mango

This article conducts a brief analysis of the factors that affect the quality safety of organic mango, and discusses the organic production measures for improving the quality and quality safety of mango, including the choice of environment of place of origin, varieties and seedlings, fertilizers and fertilization, plant protection products and other production inputs. A test is carried out in 0.667 hm2 of base in Tianyang County, Baise City. Content of lead, arsenic and 14 kinds of pesticide residue such as BHC in the mango are not detected; the content of heavy metal such as mercury and cadmium is 0.001-0.006 mg/kg. Then the quality and quality safety indicators of organic mango are discussed, and finally the Guangxi local standards of organic mango products are developed.

Expectations and Level of Satisfaction of the Patient with Parkinson’s Disease Undergoing Deep Brain Stimulation Surgery at the National Institute of Neurology and Neurosurgery

Background: Deep brain stimulation (DBS) is an established treatment for patients with advanced Parkinson’s disease (PD). Reports show continued patient satisfaction after surgery despite not maintaining clinical improvement as measured by evolution scales. Objectives: The present study sought to explore expectations and level of satisfaction in patients after DBS surgery with a semi-structured questionnaire and subsequent correlation with functional scales, Quality of Life (QoL), and motor and non-motor symptoms. Methods: We performed descriptive statistics to represent demographic data, Wilcoxon rank tests to determine significant differences, and Spearman correlation between the applied scales. Results: We evaluated 20 patients with a history of DBS surgery. 45% were female, with a mean age of 55.7 ± 14.15 years, a mean disease duration of 13.42 ± 8.3 years, and a mean time after surgery of 3.18 ± 1.86 years. Patients reported surgery meeting expectations in 85.5% and continued satisfaction in 92%. These two variables showed a significant correlation. Conclusions: This sample of patients remained satisfied after DBS surgery, although we found no differences in motor and non-motor clinimetric scales. Further studies are needed to confirm the importance of assessing quality of life in patients with DBS.

观察基于Watson人性照顾理论的干预对重症肺炎合并呼吸衰竭患者的应用效果

目的:观察基于Watson人性照顾理论的干预对重症肺炎合并呼吸衰竭患者的应用效果。方法:选取2021年6月至2023年6月泉州市第一医院呼吸与危重症医学科收治的重症肺炎合并呼吸衰竭患者94例作为研究对象,按照随机数字表法分为对照组和观察组,每组47例。对照组给予常规护理干预,观察组在对照组基础上给予Watson人性照顾理论的干预。采用匹兹堡睡眠质量指数量表(PSQI)比较2组患者干预前后睡眠质量的变化,采用阿森斯失眠量表(AIS)评估2组患者干预前后失眠的改善效果,并通过2组患者护理后的呼吸困难缓解时间、机械通气时间、重症监护室住院时间,以判断恢复情况。结果:干预后,观察组患者PSQI评分、AIS评分均显著低于对照组,观察组呼吸困难缓解时间、机械通气时间及重症监护室住院时间均显著短于对照组,差异均有统计学意义(均P<0.05)。结论:对重症肺炎合并呼吸衰竭患者应用基于Watson人性照顾理论的护理干预可有效改善其睡眠质量,促进病情恢复,值得临床推广应用。

WATER QUALITY STUDIES IN MALAYSIAN DISUSED MAN MADE LAKES FOR SUITABILITY OF AN AQUACULTURE PROJECT

A study has been conducted on the status of water quality in two disused man made lakes, which have potential for cage aquaculture project. This study highlights the quality of water analyzed with reference to various physical-chemical parameters in two selected lakes and their suitability for fish farming. A number of parameters were measured including the amount of NH_ 3 -N, NO_ 3 -N, NO_ 2 -N and total phosphorus while in-situ measurement including DO, pH, temperature, conductivity, TDS and Secchi disk visibility. Beside the physical-chemical of water, the location, morphometry and climate conditions were also investigated. The chemical data analyzed for six months indicated that Lake A and Lake B are characterized by relatively high DO, slightly neutral pH and low TSS. The concentration of NH_ 3 -N and NO_ 2 -N was very low (0.058 mg/L and 0.04 mg/L, respectively) and total phosphorus was usually in low concentration and sometimes would seem negligible. Besides, NO_ 3 -N occurred in slightly higher concentration ( 1.75 mg/L ). Results obtained indicated that the study site has high potentiality for development of inland fisheries practices.

基于双分辨率S变换和改进的多尺度ResNet模型的电能质量扰动检测方法

准确的电能质量扰动检测对改善智能电网中电能质量问题、保证电网安全可靠运行具有重要意义。对此,提出一种基于双分辨率S变换和改进的多尺度ResNet模型的电能质量扰动信号的检测方法。首先,利用双分辨率S变换准确提取电能质量扰动信号的时频特征向量;其次,提出利用Mish函数代替传统ReLU激活函数来改进ResNet,再利用不同卷积核大小的改进ResNet模型对复杂电能质量扰动信号进行特征学习与扰动分类;然后,在不增加网络参数的情况下,提出利用轻量级通道注意力(efficient channel attention,ECA)对电能质量扰动检测分类结果影响较大的重要特征分配更大的权重值,提升模型的分类性能。最后,实验结果表明,与其他电能质量扰动检测方法相比,所提方法具有更高的准确率和抗噪性。

高质量的“U-G-I-S-C”教师教育模式构建研究

“U-G-I-S-C”教师教育模式能满足教师教育一体化发展、大学和中小学共同利益实现与优势发挥最大化、实现中国式现代化和教育强国建设培养卓越中小学教师的需要。为进一步提高我国教师教育质量,可从以下几方面优化“U-G-I-S-C”教师教育模式运行策略:明晰合作理念和共同利益目标,合作关系从松散走向共生;建立平等协商和高效工作机制,合作效果从单兵作战走向互惠共赢;共同发展教育作为爱的事业,从利益联合走向文化融合;增进技术赋能,促进教师培养从断裂式走向全程浸入式并基于循证的教师教育过程;完善保障机制,汇聚各方组织的巨大合力。

二三线城市保障性租赁住房高质量发展对策研究——基于江苏省S市的调研分析

随着城市化进程的加速,二三线城市正成为人才集聚的新舞台。本文基于对江苏省S市保障性租赁住房主管部门、运营企业和住户的调研数据,剖析了当前保障性租赁住房目前存在的问题,并针对S市保障性租赁住房高质量发展提出了包括加紧落实信贷支持政策、明确项目退出机制、出台“非居改保”细则等一系列对策,以期推动保障性租赁住房市场的健康、有序发展。

基于B/S架构的本科教育质量监测系统建设与思考——以山西医科大学为例

通过学校本科教学质量数据监测工作实际需求,从需求分析、系统设计、关键技术、功能应用四大方面进行了分析,设计了基于B/S三层架构的监测系统,利用信息化平台进行数据采集、校验与智能分析,实现了学校从校级到院级再到本科专业的多层次、多目标本科教育质量监测,极大地提高了学校本科教学质量数据监测的科学化、精准化和规范化水平。

基于IGWO算法优化LSSVM的电能质量扰动识别方法

为了提高电能质量扰动(power quality disturbance,PQD)识别结果的准确性,笔者提出一种基于改进灰狼优化算法(improved grey wolf optimization,IGWO)优化最小二乘支持向量机(least squares support vector machine,LSSVM)的PQD识别方法。通过采用收敛因数指数调整、自适应位移和权重动态修订等措施对灰狼优化算法进行改进,得到IGWO算法;以PQD信号的9个特征量为支持向量、7种PQD类型为输出量,利用IGWO算法寻找LSSVM的最优参数,建立基于IGWO-LSSVM的PQD识别模型并进行仿真分析,且与其他模型的识别结果进行对比。结果表明,相比算例中列出的几种对比模型,IGWO-LSSVM模型识别结果的正确率更高,验证了所提PQD识别方法的有效性和实用性。

基于最优Bohman窗的改进S变换电能质量扰动特征精确快速提取方法

针对传统S变换存在时频分辨率低且计算量大的问题,该文提出一种基于最优Bohman窗的改进S变换。该方法通过直接控制窗长获得最优时频分辨率,同时只针对主要频率点进行时频分析,实现对各类扰动信号特征的精确快速提取。首先根据所提评价标准确定最优长度参数;其次将采样信号进行快速傅里叶变换得到FFT频谱,再通过基于极大值包络的动态测度快速算法确定主要频率点;然后根据主要频率点所处频段选择对应最优长度参数进行计算处理;最后根据模时频矩阵计算时频幅值向量完成时频特征提取。仿真分析和实验结果表明,所提方法相较于传统S变换具有更高的时频分辨率和更短的计算时间,适用于电能质量扰动信号特征的精确快速提取。

基于神经网络与改进D-S证据理论的水质评价模型研究

针对水质监测数据多源、非线性、不确定性大的特点,提出了一种基于神经网络与改进D S证据理论相结合的水质评价模型。该模型首先利用3种前馈神经网络对水质监测数据进行初步评价,将初步评价结果归一化后作为基本概率分配,然后引入证据权重修正冲突证据,根据D-S合成规则得到融合评价结果,最后利用迭代思想修正评价结果。其中,基于证据权重修正冲突证据并进行融合结果的迭代修正,能有效解决传统D-S证据理论无法处理高冲突证据的缺陷。冀南地区5个监测断面水质评价结果表明,该水质评价模型能够提高水质评价准确性。