Mitochondrial dysfunction and quality control lie at the heart of subarachnoid hemorrhage

The dramatic increase in intracranial pressure after subarachnoid hemorrhage leads to a decrease in cerebral perfusion pressure and a reduction in cerebral blood flow.Mitochondria are directly affected by direct factors such as ischemia,hypoxia,excitotoxicity,and toxicity of free hemoglobin and its degradation products,which trigger mitochondrial dysfunction.Dysfunctional mitochondria release large amounts of reactive oxygen species,inflammatory mediators,and apoptotic proteins that activate apoptotic pathways,further damaging cells.In response to this array of damage,cells have adopted multiple mitochondrial quality control mechanisms through evolution,including mitochondrial protein quality control,mitochondrial dynamics,mitophagy,mitochondrial biogenesis,and intercellular mitochondrial transfer,to maintain mitochondrial homeostasis under pathological conditions.Specific interventions targeting mitochondrial quality control mechanisms have emerged as promising therapeutic strategies for subarachnoid hemorrhage.This review provides an overview of recent research advances in mitochondrial pathophysiological processes after subarachnoid hemorrhage,particularly mitochondrial quality control mechanisms.It also presents potential therapeutic strategies to target mitochondrial quality control in subarachnoid hemorrhage.

Application of Specialized Group Management in the Quality Control of Perioperative Nursing

Objective:To explore the role of specialized group management in the quality control of perioperative nursing.Methods:45 surgical nurses from our hospital were selected as the research subjects.Traditional operating room management was adopted from July 2019 to June 2020,and specialized group management was adopted from July 2020 to June 2021.The surgeon’s satisfaction,surgical nurses’core professional competence,and surgical patients’satisfaction were obtained through surveys and the results were analyzed.Results:Surgeon satisfaction before the implementation of specialized group management was significantly lower than after its implementation(P<0.05).Besides,surgical nurses’core professional competency scores before the implementation of specialized group management were significantly lower than after its implementation(P<0.05).Lastly,surgical patients’satisfaction before the implementation of specialized group management was significantly lower than after its implementation(P<0.05).Conclusion:Specialized group management helps to improve the quality of perioperative care and should be applied in clinical practice.

An improved wind quality control for the China-France Oceanography Satellite (CFOSAT) scatterometer

Quality control(QC)is an essential procedure in scatterometer wind retrieval,which is used to distinguish good-quality data from poor-quality wind vector cells(WVCs)for the sake of wind applications.The current wind processor of the China-France Oceanography Satellite(CFOSAT)scatterometer(CSCAT)adopts a maximum likelihood estimator(MLE)-based QC method to filter WVCs affected by geophysical noise,such as rainfall and wind variability.As the first Ku-band rotating fan-beam scatterometer,CSCAT can acquire up to 16 observations over a single WVC,giving abundant information with diverse incidence/azimuth angles,as such its MLE statistical characteristics may be different from the previous scatterometers.In this study,several QC indicators,including MLE,its spatially averaged value(MLE_(m)),and the singularity exponents(SE),are analyzed using the collocated Global Precipitation Mission rainfall data as well as buoy data,to compare their sensitivity to rainfall and wind quality.The results show that wind error characteristics of CSCAT under different QC methods are similar to those of other Ku-band scatterometers,i.e.,SE is more suitable than other parameters for the wind QC at outer-swath and nadir regions,while MLE_(m) is the best QC indicator for the sweet region WVCs.Specifically,SE is much more favorable than others at high wind speeds.By combining different indicators,an improved QC method is developed for CSCAT.The validation with the collocated buoy data shows that it accepts more WVCs,and in turn,improves the quality control of CSCAT wind data.

Deep learning models semi-automatic training system for quality control of transthoracic echocardiography

Objective To explore the value of deep learning(DL)models semi-automatic training system for automatic optimization of clinical image quality control of transthoracic echocardiography(TTE).Methods Totally 1250 TTE videos from 402 patients were retrospectively collected,including 490 apical four chamber(A4C),310 parasternal long axis view of left ventricle(PLAX)and 450 parasternal short axis view of great vessel(PSAX GV).The videos were divided into development set(245 A4C,155 PLAX,225 PSAX GV),semi-automated training set(98 A4C,62 PLAX,90 PSAX GV)and test set(147 A4C,93 PLAX,135 PSAX GV)at the ratio of 5∶2∶3.Based on development set and semi-automatic training set,DL model of quality control was semi-automatically iteratively optimized,and a semi-automatic training system was constructed,then the efficacy of DL models for recognizing TTE views and assessing imaging quality of TTE were verified in test set.Results After optimization,the overall accuracy,precision,recall,and F1 score of DL models for recognizing TTE views in test set improved from 97.33%,97.26%,97.26%and 97.26%to 99.73%,99.65%,99.77%and 99.71%,respectively,while the overall accuracy for assessing A4C,PLAX and PSAX GV TTE as standard views in test set improved from 89.12%,83.87%and 90.37%to 93.20%,90.32%and 93.33%,respectively.Conclusion The developed DL models semi-automatic training system could improve the efficiency of clinical imaging quality control of TTE and increase iteration speed.

A strength model for cement-stabilized mud subjected to various curing temperatures and its early-stage quality control

The influence of curing temperature on the strength development of cement-stabilized mud has been well documented in terms of strength-increase rate and ultimate strength.However,the strength development model is not mature for the extremely early stages.In addition,there is a lack of studies on quality control methods based on early-stage strength development.This paper presents a strength model for cement-stabilized mud to address these gaps,considering various curing temperatures and early-stage behaviors.In this study,a series of laboratory experiments was conducted on two types of muds treated with Portland blast furnace cement and ordinary Portland cement under four different temperatures.The results indicate that elevated temperatures expedite strength development and lead to higher long-term strength.The proposed model,which combines a three-step conversion process and a hyperbolic model at the reference temperature,enables accurate estimate of the strength development for cement-treated mud with any proportions cured under various temperatures.With this model,a practical early quality control method is introduced for applying cement-stabilized mud in field projects.The back-analysis parameters obtained from a 36-h investigation at temperature of 60C demonstrated a sufficient accuracy in predicting strength levels in practical applications.

An Intelligent Quality Control Method for Manufacturing Processes Based on a Human–Cyber–Physical Knowledge Graph

Quality management is a constant and significant concern in enterprises.Effective determination of correct solutions for comprehensive problems helps avoid increased backtesting costs.This study proposes an intelligent quality control method for manufacturing processes based on a human–cyber–physical(HCP)knowledge graph,which is a systematic method that encompasses the following elements:data management and classification based on HCP ternary data,HCP ontology construction,knowledge extraction for constructing an HCP knowledge graph,and comprehensive application of quality control based on HCP knowledge.The proposed method implements case retrieval,automatic analysis,and assisted decision making based on an HCP knowledge graph,enabling quality monitoring,inspection,diagnosis,and maintenance strategies for quality control.In practical applications,the proposed modular and hierarchical HCP ontology exhibits significant superiority in terms of shareability and reusability of the acquired knowledge.Moreover,the HCP knowledge graph deeply integrates the provided HCP data and effectively supports comprehensive decision making.The proposed method was implemented in cases involving an automotive production line and a gear manufacturing process,and the effectiveness of the method was verified by the application system deployed.Furthermore,the proposed method can be extended to other manufacturing process quality control tasks.

Data Quality Control Method of a New Drifting Observation Technology Named Drifting Air-Sea Interface Buoy

An integral quality control(QC)procedure that integrates various QC methods and considers the design indexes and operational status of the instruments for the observations of drifting air-sea interface buoy was developed in the order of basic in-spection followed by targeted QC.The innovative method of combining a moving Hampel filter and local anomaly detection com-plies with statistical laws and physical processes,which guarantees the QC performance of meteorological variables.Two sets of observation data were used to verify the applicability and effectiveness of the QC procedure,and the effect was evaluated using the observations of the Kuroshio Extension Observatory buoy as the reference.The results showed that the outliers in the time series can be correctly identified and processed,and the quality of data improved significantly.The linear correlation between the quality-controlled observations and the reference increased,and the difference decreased.The correlation coefficient of wind speed before and after QC increased from 0.77 to 0.82,and the maximum absolute error decreased by approximately 2.8ms^(-1).In addition,air pressure and relative humidity were optimized by 10^(-3)–10^(-2) orders of magnitude.For the sea surface temperature,the weight of coefficients of the continuity test algorithm was optimized based on the sea area of data acquisition,which effectively expanded the applicability of the algorithm.

Safety-Constrained Multi-Agent Reinforcement Learning for Power Quality Control in Distributed Renewable Energy Networks

This paper examines the difficulties of managing distributed power systems,notably due to the increasing use of renewable energy sources,and focuses on voltage control challenges exacerbated by their variable nature in modern power grids.To tackle the unique challenges of voltage control in distributed renewable energy networks,researchers are increasingly turning towards multi-agent reinforcement learning(MARL).However,MARL raises safety concerns due to the unpredictability in agent actions during their exploration phase.This unpredictability can lead to unsafe control measures.To mitigate these safety concerns in MARL-based voltage control,our study introduces a novel approach:Safety-ConstrainedMulti-Agent Reinforcement Learning(SC-MARL).This approach incorporates a specialized safety constraint module specifically designed for voltage control within the MARL framework.This module ensures that the MARL agents carry out voltage control actions safely.The experiments demonstrate that,in the 33-buses,141-buses,and 322-buses power systems,employing SC-MARL for voltage control resulted in a reduction of the Voltage Out of Control Rate(%V.out)from0.43,0.24,and 2.95 to 0,0.01,and 0.03,respectively.Additionally,the Reactive Power Loss(Q loss)decreased from 0.095,0.547,and 0.017 to 0.062,0.452,and 0.016 in the corresponding systems.

Evaluation of the Impact of Refined Quality Control Management Model on the Qualified Rate of Disinfection and Sterilization of Surgical Instruments in the Sterilization Supply Center

Objective:To evaluate the application value of a refined quality control management model for a sterilization supply center.Methods:A retrospective analysis was conducted on the work situation of the sterilization supply center from January 2021 to January 2023.The work situation before January 31,2022,was classified as the control group;a routine quality control management model was implemented,and the work situation after January 31,2022,was classified as the observation group.The quality of medical device management and department satisfaction between the two groups were compared.Results:The timely recovery and supply rate,classification and cleaning pass rate,disinfection pass rate,packaging pass rate,sterilization pass rate,and department satisfaction score in the observation group were all higher than those of the control group(P<0.05).Conclusion:Implementing a refined quality control management model in the sterilization supply center can improve the quality management level of medical devices and department satisfaction and is worthy of promotion.

Protein Disulfide Isomerase and Its Potential Function on Endoplasmic Reticulum Quality Control in Diatom Phaeodactylum tricornutum

PDI is a molecular chaperone and plays an important role in Endoplasmic Reticulum quality control (ERQC).PDI participates in the refolding of the misfolded/unfolded proteins to maintain cellular homeostasis under differentstresses. However, bioinformatic characteristics and potential functions of PDIs in diatom Phaeodactylumtricornutum (Pt) are still unknown so far. Hence, the genome-wide characteristics of PtPDI proteins in P. tricornutumwere first studied via bioinformatic and transcriptomic methods. 42 PtPDI genes were identified from thegenome of P. tricornutum. The motif, protein structure, classification, number of introns, phylogenetic relationship,and the expression level of 42 PtPDI genes under the tunicamycin stress were analyzed. A pair of tandemduplicated genes (PtPDI15 and PtPDI18) was observed in P. tricornutum. The 42 PtPDIs with different genecharacteristics were divided into three independent clades, indicating different evolutional relationships and functionsof these PtPDIs. The 14 up-regulated PtPDI genes under the tunicamycin treatment might have a positiveeffect on the ER quality control of the unfolded/misfolded proteins, while the 7 down-regulated PtPDIs mightnegatively affect the ERQC. The characteristics of all 42 PtPDIs and their proposed working model here providea comprehensive understanding of the PtPDIs gene family. The differential expression of 21 PtPDIs will be usefulfor further functional study in the ERQC.

Gentiana macrophylla Pall.:a review of the basic source,traditional use,chemical components,pharmacological activities and quality control

Gentiana macrophylla Pall.(G.macrophylla),whose genus and family belong to the Gentianaceae and Gentiana.The main distribution centers of G.macrophylla resources were the Loess Plateau and the eastern Qinghai-Tibet Plateau in China.G.macrophylla,as a traditional medicine,has a long history and was used in different ethnic medicines.Its roots were used in traditional Chinese medicine,which had the effect of anti-inflammatory,anti-rheumatism,antiviral,promote blood circulation,eliminate swelling and pain,while its flowers were used in traditional Mongolian medicine,which had the effect of removing“Xieriwusu”(“Xieriwusu”means rheumatism),antiviral,reducing swelling.From previous studies,it could be found that there were more than forty components isolated and identified from G.macrophylla.The main chemical components were iridoids,flavonoids,triterpenoids,steroids,phenylpropanoids,and alkaloids.Iridoid terpenoid components represented by gentiopicroside and Loganic acid were the main components of the root of G.macrophylla,which had anti-inflammatory,antioxidant,hepatoprotective,analgesic,antibacterial and promote gastrointestinal tract activities.The flower mainly contains isoorientin and isovitexin as the representative of flavonoids.They have anti-tumor,liver protection,heart protection,inhibition of acetylcholinesterase and inhibition of melanin.It could be seen from previous studies that the research on G.macrophylla was mainly focused on the root,and the flower was rarely studied.It was reported that the experimental data of the anti-inflammatory and anti-tumor effects of G.macrophylla flowers show that its curative effect was very good.Therefore,the flowers of the flower of G.macrophylla can be used as potential medicinal parts for research.Given that flavonoids are mostly found in flowers and exhibit a range of functions,it is possible to investigate the flowers in order to learn more about G.macrophylla’s potential medical benefits.Based on botanical books,Chinese classic texts,medical monographs and academic search engines(Google,Google Scholar,Web of Science,SciFinder,Pubmed,CNKI,Sci-hub,Elsevier and Wanfang),the data and information on G.macrophylla in the past 20 years are inquired and summarized comprehensively.The basic source,traditional use,chemical composition,biological activity,pharmacodynamics and quality control of G.macrophylla was systematically reviewed,in order to provide reliable basis for the subsequent development and utilization of G.macrophylla.

Construction Project Management and Construction Quality Control Strategy

With the gradual acceleration of the urbanization process,the construction industry has been developing rapidly.As the key link to ensure the quality and safety of the project,construction management and construction quality control are of great significance to enhance the competitiveness of construction enterprises and realize sustainable development.In this paper,the effective strategy of construction management and the effective strategy of construction quality control will be discussed in depth,aiming at providing useful management and quality control strategies for construction enterprises.

Research on the Application of Evidence-Based Quality Control Circle to Improve the Implementation Rate of Airway Management Measures in Adult Critically Ill Patients

Objective: To explore the effect of evidence-based quality control circle (QCC) in improving the implementation rate of airway management measures in adult critically ill patients. Methods: Based on the Joanna Briggs Institute (JBI) evidence-based health care model, the best evidence of airway management in adult critically ill patients was obtained and applied to the clinic. Results: The total implementation rate of airway management measures in adult critically ill patients increased from 23.62% before the implementation of quality control circle to 88.82%, and the pulmonary infection rate in critically ill patients decreased from 42.31% to 21.74%, with statistical significance between the two groups (P 0.05). Conclusion: Evidence-based quality control circle activities can standardize the practice standards of airway management in critically ill patients, reduce the occurrence of patients’ airway related complications, and improve clinical outcomes.

Chinese quality control indices for standardized diagnosis and treatment of renal cancer(2022 edition)

Renal cancer is one of the most common malignancies of the urinary system,and the number of deaths continues to increase.The standardized management of the diagnosis and treatment of renal cancer is challenging due to the great differences in the diagnosis and treatment of renal cancer in different regions.The Renal Cancer Expert Committee of the National Cancer Quality Control Center(NCQCC)identified a lack of authoritative quality control standards as an opportunity to utilize its multidisciplinary membership to improve the standardized diagnosis and treatment of renal cancer.The Renal Cancer Expert Committee of the NCQCC aims to promote quality control and national standardization,uniformity,and normalization of renal cancer diagnosis and treatment,which ultimately improved the survival rate and quality of life of renal cancer patients.A panel of experts with renal cancer surgery,renal cancer medicine,medical imaging,pathology and radiotherapy were drawn together and determined the quality control standards for the standardized diagnosis and treatment of renal cancer.The Indices includes 20 items that cover all key areas in the diagnosis and treatment of renal cancer,such as standard diagnosis,surgery treatment,systemic treatment,and prognostic evaluation.

基于PLC控制器的纸页水分QCS管理系统设计

为实现针对纸页水分定量工艺的自动化管理,基于PLC控制技术提出了一项纸页水分QCS管理系统。通过PLC控制平台对纸页定量水分控制回路中的各项设备进行自动化控制,并采用TIA Portal V16组态工具建立可视化图形操作界面,进而形成一套完整的纸页水分自动化管理系统。为验证纸页水分QCS管理系统的可行性,对其进行仿真试验分析。经试验研究发现,该系统的水分定量超调时间在6%以下,调节时间在15s以下,数据处理性能良好,界面操作直观,具有一定的应用价值。

利用DQCT实现2018年8月超历史极值暴雨的高质量模拟

构建较全面的双级质量控制技术(DQCT).利用中尺度天气预报模式(WRF)对2018年8月下旬华南地区一次超历史极值的暴雨过程进行高分辨率数值模拟,并用DQCT评判暴雨的模拟效果.结果表明,在暴雨形势背景场中用WRF成功模拟大尺度季风风场、西南暖湿气流与低压交汇过程,并准确复制了造成高潭镇极端降雨的中尺度对流系统.总降雨量中的中γ尺度极值暴雨中心模拟得较为准确.该模式在24 h降雨量模拟中成功复制了暴雨中心的演变过程;在6 h降雨量模拟中较好地再现了中γ尺度雨带的演变过程.在暴雨重灾区高潭镇1 h降雨量演变过程的模拟中,总体降雨趋势与实况吻合较好.定性分析结果同步得到定量指标的验证.

Application effect of quality control circle in postoperative functional exercise compliance of breast neoplasms patients:a meta-analysis

Background:Good adherence to post-operative exercise is crucial for long-term exercise intervention programs aimed at improving compliance,motivation for functional exercise,and quality of life among breast cancer patients.This study aims to evaluate the application effect of quality control circles on postoperative functional exercise compliance in breast neoplasm patients.Methods:A comprehensive search was conducted in CNKI,Wanfang,VIP,CBM,PubMed,Cochrane Library,Web of Science and CINAHL databases from their establishment to May 06,2023.Manual search and backtracking of relevant literature were also conducted.The search terms included a combination of subject terms and free words.Meta-analysis was performed using RevMan 5.4 software on eligible literature.Results:Initially,517 papers were retrieved,and after removing duplicates 238 papers using NoteExpress software,279 titles and abstracts were reviewed.Subsequently,225 non-compliant papers were excluded,leaving 54 full texts to be read.After excluding 38 non-compliant papers,16 eligible papers were included for Meta-analysis.These papers comprised a total of 1,342 patients(679 in the test group and 663 in the control group).The heterogeneity test using a fixed effects model showed P=0.22 and I2=21%.The Meta-analysis results demonstrated that the implementation of quality control circles alongside usual care significantly improved compliance with postoperative functional exercise in breast cancer patients(odds ratio=6.68,95%confidence interval(4.97,8.98),P<0.00001).Conclusion:Quality control circles activities can effectively enhance compliance with post-operative functional exercise among breast cancer patients,aiding in the recovery of affected limb function,improvement of self-care ability,and early reintegration into society and normal life,thereby enhancing quality of life.It is important to continually accumulate experience in applying relevant quality control circles activities in clinical work and promptly enhance the level of care accordingly,as the functional exercise of breast cancer patients after surgery involves a long-term and gradual improvement process.

Construction of a New Model of Contactless Medical Services for Outpatients Based on the Project-Achieving Quality Control Circle

Objective: To carry out empirical research on the role of project-achieving quality control circle (QCC) in constructing a new model of contactless medical service for outpatients. Methods: A QCC, consisting of information office members from a grade A tertiary hospital in Wenzhou, was established to conduct a research project with the theme “Constructing a new model of contactless medical service based on outpatients’ experience.” According to the ten steps and PDCA cycle, an analysis was carried out before and after the QCC activities, focusing on improving pre-consultation services, providing steward-like services, and facilitating post-consultation management. Results: After the QCC activities, the mobile appointment rate, missed appointment rate, the proportion of smart check-ins, and the average check-in time were 55.68%, 4.02%, 39.75%, and 8.24 ± 3.66 min, respectively;in contrast, before the activities, they were 32.00%, 7.88%, 0.00%, and 14.96 ± 4.98 min, respectively;the difference between the two groups was statistically significant (χ2 = 3480.112, 4994.496;Fisher’s exact probability = 963788.570;t = 5.323, P < 0.001). Many experts have also visited the hospital to learn about this system, thus rendering social and economic benefits. Conclusion: Project-achieving QCC activities are suitable for complex situations, such as constructing a new model of contactless medical service, and can significantly improve outpatient service quality, enhance patients’ experience, and improve the abilities of circle members.

Analysis of the Effect of Quality Control Circle on the Central Sterile Supply Department

Objective:To analyze the effect of quality control circle on the central sterile supply department(CSSD).Methods:The control group and the observation group each consisted of 180 instruments received by the sterilization supply center from January to March 2023 and 11 CSSD staff.The control group underwent routine management while quality control circle was implemented in the observation group.The quality of work,disinfection and sterilization qualification rates,disinfection and sterilization of various instruments,cleaning indicators,and management satisfaction of both groups were compared.Results:The observation group scored higher in terms of work quality,the qualification rate of disinfection and sterilization in each link,the disinfection and sterilization of instruments,and cleaning indicators compared to the control group.Besides,the management satisfaction of the observation group was higher than that of the control group(P<0.05).Conclusion:A quality control circle ensures the quality of work,improves the cleaning,disinfection,and sterilization of instruments of the CSSD,and improves the management satisfaction of the CSSD staff.

Quality Control at Nomophobia and Dependency to Technological

This study aims to investigate the phenomenon of technological gadget usage among pre-university students,which include the time spent using them,as well as their purpose and influence.A descriptive research design was adopted in this study.131 pre-university students were randomly selected to answer a structured questionnaire.They were informed two weeks earlier to keep track on their time spent on technological devices,before answering the questionnaire.Findings showed that 99.2%of the respondents owned at least two technological gadgets,and all respondents own a smartphone.The main two gadgets that respondents spend at least 4 h a day on are smartphones(65.6%)and computers/laptops(21.4%).This indicates that smartphones are commonly used and owned among the respondents.The majority of the respondents are moderately nomophobia and moderately dependent on smartphones(70.2%and 66.4%,respectively).Correlation analysis demonstrates that the total time spent on gadgets in a day has a significant positive correlation with gadget dependency and total number of gadgets owned.Meanwhile,logistic regression was conducted to estimate the probability of nomophobia and dependency using total time spent and total number of technological gadgets.From thefindings,it was demonstrated that when the total time spent on using technological gadgets increasing,there is greater probability that the respondents develop nomophobia and dependency.This indicates that nomophobia and dependency to technological gadgets can be used to predict lifestyle profiles.The use of technological gadgets can bring both benefit and harm to its user.In light of this,user has to remain rational in order to derive maximum benefit from it.