Leadership and Top Management Influence on Total Quality Management Implementation in the Ghanaian Construction Industry

This study aims to determine the key and underlying Leadership and Top Management (LTM) factors that have a significant impact on sustaining the implementation of Total Quality Management (TQM) within the construction industry in Ghana. The research methodology employed in this study was a quantitative technique. Questionnaires were distributed to 641 participants within construction industry in Ghana. Questionnaires retrieved for the analysis were 536. Three steps approached were used for the data analysis. These include Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA), and Structural Equation Modeling (SEM) analysis. After conducting the EFA and CFA, SEM was also used to analyze the construct validity. The SEM analysis helps to determine four key indicator variables for the leadership and top management construct. These include Leadership/Top Management approach to employees’ management, Leadership/Top Management understanding of TQM, Leadership/Top Management empowerment of employees to resolve quality issues, and Leadership/Top Management endorsement of TQM. All the four indicator variables were found to be good of fit and closely associated with the dependent variable. The study adds to the body of knowledge by using EFA, CFA and SEM techniques to establish key leadership and top management factors affecting TQM implementation in Ghana’s construction industry. The findings in general suggested that leadership and top Management factors identified have a direct positive impact on sustaining TQM implementation in the Ghanaian construction industry. Consequently, the leadership and top management factors identified in this study can help improve TQM in the Ghanaian construction industry.

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。

S-诱抗素对杂交稻产量及品质的影响

为探寻提高杂交稻产量和品质的栽培调控措施,对甬优4949、玮两优8612和乔两优17开展早、晚稻栽培试验,研究S-诱抗素对其产量及品质的影响。结果表明:S-诱抗素提高了各品种齐穗期SPAD值、光合参数及齐穗、成熟期干物质生产能力。各品种S-诱抗素处理的有效穗数、每穗粒数、结实率及千粒重等产量构成因子均有提高,增产7.8%~11.1%,乔两优17的增产效果更显著。S-诱抗素提高了各品种加工品质中的糙米率、整精米率及蒸煮品质中的碱消值、胶稠度,同时降低了外观品质中的垩白度、垩白粒率及蒸煮品质中的直链淀粉含量。早稻季各品种S-诱抗素处理的整精米率、垩白度、垩白粒率及碱消值与对照相比达到显著差异,S-诱抗素对早稻品质的改善效果优于晚稻。综合结果表明,施用S-诱抗素能够有效提高杂交稻的产量和品质。

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。

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。

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.

Resolving the“Matteo Ricci Puzzle”:Top-Level Design of the Grand Canal of China Based on the Ternary Leadership Theory

Guided by the ternary leadership theory from the perspective of social psychology,this paper explores the impacts of authoritarian,benevolent,and moral leadership on the top design of the Grand Canal of China in terms of its water management practice,while providing reference for resolving the“Matteo Ricci Puzzle”.The research findings are threefold:first,authoritarian as it is,the central government of China formulates relevant laws and regulations to provide legal system insurance for the construction of the Grand Canal Cultural Belt,thus providing the blueprint for constructing the“bright cultural belt,green ecological belt and colorful tourism belt of the Grand Canal”.Second,led by the Central Government,sticking to benevolent and moral leadership,China advocates scientific water management concepts and methods,and gives long-term and comprehensive care to the well-being of the people along the banks of the Grand Canal.Finally,the top-level design of the Grand Canal of China is based on the ternary leadership theory rooted in social psychology and has formulated a set of properly-scheduled,reasonably-coordinated,and flexibly-operated management system for the fundamental interests of the people and long-term goals of the country.

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.

How can leadership influence the quality ofcare in a health-care organization?

Objective:This study focuses on how leadership could influence the quality of care in a health-care organization.Methods:The concept of leadership and quality are analyzed.In addition,issues concerning how leadership can influence quality of care through the effect on the organizational culture and the engagement of both nurses and patients are discussed.Results:Leadership is the pivotal factor in the improvement of quality through the effect on the organizational culture and the engagement of both nurses and patients.Conclusions:Leadership can influence the quality of care directly and indirectly.The organization and the leaders should know the importance of effective leadership to a better work environment,facilitate the implementation of the new mode of nursing,and provide best services to the patients.

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.

Practical Exploration of Strengthening Team Communication and Cooperation in Head Nurse Nursing Management

This study explores the practical application of nursing management led by head nurses to enhance team communication and collaboration within clinical settings.By integrating leadership theories with nursing practice,this research adopts a qualitative methodology to examine the effects of strategic communication and teamwork enhancement initiatives.Through interviews,observations,and the analysis of case studies in various hospital departments,the study identifies key barriers to effective team communication and collaboration,including hierarchical structures,lack of standardized communication protocols,and insufficient training.Solutions implemented involve targeted communication skills training,the establishment of interdisciplinary teamwork protocols,and leadership workshops for head nurses.The outcomes indicate significant improvements in team efficiency,patient care quality,and staff satisfaction.This research underscores the importance of head nurses in fostering an environment conducive to open communication and collaborative practice,thereby advancing patient care and team performance.

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。

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LSPI质量改进框架的压力性损伤临床防治国际指南的应用与评价

目的分析基于LSPI[领导力(Leadership)、护士培训(Staff)、临床实践优化(Performance Improvement)和信息技术(Information Technology)]质量改进框架的压力性损伤临床防治国际指南的应用效果,以期为促进相关防治实践指南向临床转化提供新方法。方法应用前-后对照研究方法,选择2019年7月—2020年6月就诊于本院的住院患者101005例设为对照组,选择2020年7月—2021年6月就诊于本院的住院患者110824例设为试验组。比较实施前后院内压力性损伤首次风险评估及时率、首次风险评估准确率、高危患者预防措施落实率与压力性损伤发生率。结果首次风险评估及时率从干预前86.73%上升至干预后96.25%,首次风险评估准确率从干预前93.46%上升至干预后98.69%,高危患者预防措施落实率从干预前94.21%上升至干预后98.15%,院内压力性损伤发生率从干预前0.77‰下降至干预后0.29‰,前后比较,差异均具有统计学意义(均P<0.05)。结论基于LSPI质量改进框架的压力性损伤临床防治国际指南的应用可提高压力性损伤过程管理质量,从而降低院内压力性损伤的发生率,促进实施以指南为依据的实践规范。

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。

朱氏滋脾固肾方Ⅰ号对慢性肾脏病2~4期脾肾气虚证症状评分、SCr及BUN的影响

目的:探讨朱氏滋脾固肾方Ⅰ号治疗慢性肾脏病(chronic kidney disease,CKD)2~4期脾肾气虚证的临床效果及对症状评分、血清肌酐(Serum creatinine,SCr)、血清尿素氮(blood urea nitrogen,BUN)等指标的影响。方法:选取CKD 2~4期患者60例,依据随机数字表法分为观察组和对照组各30例。对照组采取西医常规治疗,观察组在对照组治疗基础上联合朱氏滋脾固肾方Ⅰ号治疗,两组患者均持续治疗12周,后续治疗在专科门诊随访。比较两组临床效果、症状评分、生活质量评分、肾功能指标水平(SCr、BUN)及不良反应情况。结果:观察组总有效率为86.67%(26/30),高于对照组的60.00%(18/30)(P<0.05)。治疗后两组各项症状评分、SCr及BUN水平均较治疗前下降(P<0.05),生活质量评分均上升(P<0.05),且观察组上述指标下降或上升较对照组显著(P<0.05)。两组不良反应发生率比较差异无统计学意义(P>0.05)。结论:朱氏滋脾固肾方Ⅰ号治疗CKD 2~4期脾肾气虚证患者具有显著疗效,可以改善患者肾功能及生活质量。

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。