Regulator of G protein signaling 6 mediates exercise-induced recovery of hippocampal neurogenesis,learning,and memory in a mouse model of Alzheimer’s disease

Hippocampal neuronal loss causes cognitive dysfunction in Alzheimer’s disease.Adult hippocampal neurogenesis is reduced in patients with Alzheimer’s disease.Exercise stimulates adult hippocampal neurogenesis in rodents and improves memory and slows cognitive decline in patients with Alzheimer’s disease.However,the molecular pathways for exercise-induced adult hippocampal neurogenesis and improved cognition in Alzheimer’s disease are poorly understood.Recently,regulator of G protein signaling 6(RGS6)was identified as the mediator of voluntary running-induced adult hippocampal neurogenesis in mice.Here,we generated novel RGS6fl/fl;APP_(SWE) mice and used retroviral approaches to examine the impact of RGS6 deletion from dentate gyrus neuronal progenitor cells on voluntary running-induced adult hippocampal neurogenesis and cognition in an amyloid-based Alzheimer’s disease mouse model.We found that voluntary running in APP_(SWE) mice restored their hippocampal cognitive impairments to that of control mice.This cognitive rescue was abolished by RGS6 deletion in dentate gyrus neuronal progenitor cells,which also abolished running-mediated increases in adult hippocampal neurogenesis.Adult hippocampal neurogenesis was reduced in sedentary APP_(SWE) mice versus control mice,with basal adult hippocampal neurogenesis reduced by RGS6 deletion in dentate gyrus neural precursor cells.RGS6 was expressed in neurons within the dentate gyrus of patients with Alzheimer’s disease with significant loss of these RGS6-expressing neurons.Thus,RGS6 mediated voluntary running-induced rescue of impaired cognition and adult hippocampal neurogenesis in APP_(SWE) mice,identifying RGS6 in dentate gyrus neural precursor cells as a possible therapeutic target in Alzheimer’s disease.

Ibrutinib and atrial fibrillation:An in-depth review of clinical implications and management strategies

Ibrutinib,a targeted therapy for B-cell malignancies,has shown remarkable efficacy in treating various hematologic cancers.However,its clinical use has raised concerns regarding cardiovascular complications,notably atrial fibrillation(AF).This comprehensive review critically evaluates the association between ibrutinib and AF by examining incidence,risk factors,mechanistic links,and management strategies.Through an extensive analysis of original research articles,this review elucidates the complex interplay between ibrutinib’s therapeutic benefits and cardiovascular risks.Moreover,it highlights the need for personalized treatment approaches,vigilant monitoring,and interdisciplinary collaboration to optimize patient outcomes and safety in the context of ibrutinib therapy.The review provides a valuable resource for healthcare professionals aiming to navigate the intricacies of ibrutinib’s therapeutic landscape while prioritizing patient well-being.

Optimizing Resource Management for IoT Devices in Constrained Environments

Embedded computing device implementation on the Internet of Things (IoT) requires careful assessment of their intrinsic resource limitations. These constraints are not limited to memory and processing capabilities but extend to the network interfaces, particularly due to the low-power radio standards that these devices typically employ. The IPv6 protocol is shown to be a strong option for guaranteeing interoperability in the IoT, mostly because of its large address space, the range of current IP-based protocols, and its intrinsic versatility. Considering these benefits, we investigate if current IP-based network management protocols can be implemented on devices with limited resources. We investigate the resource needs in particular for implementing Network Configuration Protocol (NETCONF) and Simple Network Management Protocol (SNMP) on an 8-bit AVR-based device. Our investigation reveals the specific memory and processing demands of these protocols, providing valuable insights into their practicality and efficiency in constrained IoT environments. This study underscores the potential and challenges of leveraging IPv6-based network management protocols to enhance the functionality and interoperability of IoT devices while operating within stringent resource limitations.

Blockchain-enabled resource management and sharing for 6G communications

The sixth-generation(6G)network must provide better performance than previous generations to meet the requirements of emerging services and applications,such as multi-gigabit transmission rate,higher reliability,and sub-1 ms latency and ubiquitous connection for the Internet of Everything(IoE).However,with the scarcity of spectrum resources,efficient resource management and sharing are crucial to achieving all these ambitious requirements.One possible technology to achieve all this is the blockchain.Because of its inherent properties,the blockchain has recently gained an important position,which is of great significance to the 6G network and other networks.In particular,the integration of the blockchain in 6G will enable the network to monitor and manage resource utilization and sharing efficiently.Hence,in this paper,we discuss the potentials of the blockchain for resource management and sharing in 6G using multiple application scenarios,namely,Internet of things,deviceto-device communications,network slicing,and inter-domain blockchain ecosystems.

Endogenous Security-Aware Resource Management for Digital Twin and 6G Edge Intelligence Integrated Smart Park

The integration of digital twin(DT)and 6G edge intelligence provides accurate forecasting for distributed resources control in smart park.However,the adverse impact of model poisoning attacks on DT model training cannot be ignored.To address this issue,we firstly construct the models of DT model training and model poisoning attacks.An optimization problem is formulated to minimize the weighted sum of the DT loss function and DT model training delay.Then,the problem is transformed and solved by the proposed Multi-timescAle endogenouS securiTy-aware DQN-based rEsouRce management algorithm(MASTER)based on DT-assisted state information evaluation and attack detection.MASTER adopts multi-timescale deep Q-learning(DQN)networks to jointly schedule local training epochs and devices.It actively adjusts resource management strategies based on estimated attack probability to achieve endogenous security awareness.Simulation results demonstrate that MASTER has excellent performances in DT model training accuracy and delay.

A three-level mobility management scheme for hierarchical mobile IPv6 networks

Performance evaluation shows that Hierarchical Mobile IPv6 (HMIPv6) cannot outperform standard Mobile IPv6 (MIPv6) in all scenarios. Thus, adaptive protocol selection under certain circumstances is desired. Moreover, it is necessary to balance the load among different Mobility Anchor Points (MAPs). This paper proposes an efficient three-level hierarchical ar- chitecture for mobility management in HMIPv6 networks, in which a mobile node (MN) may register with either a higher/lower MAP or its home agent according to its speed and the number of connecting correspondent nodes (CNs). An admission control algorithm and a replacement algorithm are introduced to achieve load balancing between two MAP levels and among different MAPs within the same MAP level. Admission control is based on the number of CNs but not MNs that an MAP serves. In case there is no capacity for an MN, the MAP chooses an existing MN to be replaced. The replaced MN uses the MAP selection al- gorithm again to choose another mobility agent. Simulation results showed that the proposed scheme achieves better performance not only in reducing the signaling overhead, but also in load balancing among different MAPs.

Energy-efficient resource management for CCFD massive MIMO systems in 6G networks

This paper presents a co-time co-frequency fullduplex(CCFD)massive multiple-input multiple-output(MIMO)system to meet high spectrum efficiency requirements for beyond the fifth-generation(5G)and the forthcoming the sixth-generation(6G)networks.To achieve equilibrium of energy consumption,system resource utilization,and overall transmission capacity,an energy-efficient resource management strategy concerning power allocation and antenna selection is designed.A continuous quantum-inspired termite colony optimization(CQTCO)algorithm is proposed as a solution to the resource management considering the communication reliability while promoting energy conservation for the CCFD massive MIMO system.The effectiveness of CQTCO compared with other algorithms is evaluated through simulations.The results reveal that the proposed resource management scheme under CQTCO can obtain a superior performance in different communication scenarios,which can be considered as an eco-friendly solution for promoting reliable and efficient communication in future wireless networks.

Blockchain-Based Decentralized Reputation Management System for Internet of Everything in 6G-Enabled Cybertwin Architecture

Internet of Everything(IoE)has emerged as a promising paradigm for the purpose of connecting and exchanging data among physical objects and humans over the Internet,and it can be widely applied in the fields of industry,transportation,commerce,and education.Recently,the emergence of 6G-enabled cybertwin network architecture provides the technical and theoretical foundation for the realization of IoE paradigm.However,the IoE has three open issues in the 6G-enabled cybertwin architecture,i.e.,data authenticity,data storage and node reliability.To address these issues,we propose a blockchain-based decentralized reputation management system(BC-DRMS)for IoE in 6G-enabled Cybertwin architecture.In the proposed BC-DRMS,the traffic data collected from end nodes is stored on the blockchain and the decentralized file system,i.e.,InterPlanetary File System(IPFS),to resist data tampering,and then the data is further processed by the edge clouds and core clouds to provide services to users.Also,a multi-level reputation evaluation scheme is designed to compute the reputation scores of IoE nodes to prevent malicious node attacks.The experiment results and analysis demonstrate that,compared to the traditional centralized reputation management systems(CRMS),the proposed BC-DRMS cannot only address the issues of data authenticity and storage,but also provides high reliability for IoE in 6G-enabled cybertwin architecture.

Study on Application Effect of 6S Management Mode in Infection Control Management of Fangcang Shelter Hospital of National Exhibition and Convention Center

Objective:In 2022,a pneumonia caused by novel coronavirus broke out in Shanghai.A large number of medical personnel were deployed nationwide to support the Fangcang Shelter Hospital of National Exhibition and Convention Center(Shanghai).Because the of the underdeveloped infrastructure and the disorganized layout process,the phenomenon of infection among medical personnel was rampant given the highly contagious nature of the Omicron variant.This paper discusses the effect of 6S management in infection control management of Fangcang Shelter Hospital of National Exhibition and Convention Center(Shanghai).Methods:A series of 6S management practices were carried out based on the evaluation of the control management of Fangcang Shelter Hospital of National Exhibition and Convention Center(Shanghai)during the anti-epidemic period,and the effect of the implementation of 6S management was studied based on the rapport among team members and the overall control system process,the management of wearing and stripping channels,the time of wearing protective articles and the psychological and emotional changes of the team members.Results:After the implementation of 6S management mode,the management of dressing room,epidemic prevention materials,and occupational protection awareness and infection control safety were significantly improved.More than 95.5%of the team members believed that improving the working environment in the shelter increased the confidence of victory in the fight against the epidemic,reduced the preparations before entering and leaving the cabin,improved the work efficiency and ensured occupational safety.It ensures the realization of the goal of“zero infection”and is set as a benchmark of control work of Fangcang Shelter Hospital of National Exhibition and Convention Center(Shanghai).Conclusion:The application of 6S management mode to the shelter infection control management can create and maintain a good working environment in the shelter,promote the implementation effect of various systems and processes of infection control,reduce the potential infection risk in the shelter and improve the efficiency of infection control management.

A Novel Location Management Scheme based on DNS in Proxy Mobile IPv6

Proxy Mobile IPv6 (PMIPv6) is designed to provide a network-based localized mobility management protocol, but it does not handle the global mobility of hosts. In this paper, we propose a location management scheme based on Domain Name System (DNS) for PMIPv6 which can support global mobility by using DNS as a location manager. In addition, to support large numbers of mobile terminals and enhance network scalability a paging extension scheme is introduced to PMIPv6. To evaluate the proposed location management scheme, we establish an analytical model, formulate the location update cost and the paging cost, and analyze the influence of the different factors on the total signaling cost. The performance results show that our proposed scheme outperforms the basic PMIPv6 under various parameters in terms of reducing the signaling overhead and the proposed scheme reduces signaling overhead compared to the basic PMIPv6.

Ultra Dense Satellite-Enabled 6G Networks:Resource Optimization and Interference Management

With the evolution of the sixth generation(6G)mobile communication technology,ample attention has gone to the integrated terrestrial-satellite networks.This paper notes that four typical application scenarios of integrated terrestrial-satellite networks are integrated into ultra dense satellite-enabled 6G networks architecture.Then the subchannel and power allocation schemes for the downlink of the ultra dense satellite-enabled 6G heterogeneous networks are introduced.Satellite mobile edge computing(SMEC)with edge caching in three-layer heterogeneous networks serves to reduce the link traffic of networks.Furthermore,a scheme for interference management is presented,involving quality-of-service(QoS)and co-tier/cross-tier interference constraints.The simulation results show that the proposed schemes can significantly increase the total capacity of ultra dense satellite-enabled 6G heterogeneous networks.

Research and Design of IPv6 Network Management and Operations Support System

IPv6 is the foundation of the development of Next Generation Internet (NGI). An IPv6 network management and operations support system is necessary for real operable NGI. Presently there are no approved standards yet and relevant equipment interfaces are not perfect. A Network Management System (NMS) at the network layer helps implement the integrated management of a network with equipment from multiple vendors, including the network resources and topology, end-to-end network performance, network failures and customer Service Level Agreement (SLA) management. Though the NMS will finally realize pure IPv6 network management, it must be accommodated to the management of relevant IPv4 equipment. Therefore, modularized and layered structure is adopted for the NMS in order to implement its smooth transition.

基于HACCP的6S管理在精神病专科医院保洁管理中的应用

目的探讨危害分析及关键控制点(HACCP)联合6S管理法在精神病专科医院保洁管理中的应用效果。方法采用方便抽样方法,于2023年3月-6月,选取山东省某三级甲等精神病专科医院的30名病区保洁人员作为研究对象,采用基于HACCP的6S管理进行干预,并进行自身前后对照比较分析。结果基于HACCP的6S管理的实施,使保洁人员的医院感染基础知识、个人防护与职业暴露知晓率有所提升(P均<0.05),明显改善了保洁人员的手卫生正确性和依从性(P均<0.05),环境清洁消毒情况得到改善(P均<0.05),住院患者护理满意度和护理人员对保洁人员的满意度均得到提升。结论通过6S管理的标准化模式识别危险因素,将关键环节的评估、预防和控制工作融入保洁管理中,并进行同质化干预,能够提高保洁管理水平,对提升医患双方满意度有一定促进作用。

“6S管理”在医院药库管理中的应用前景分析

伴随社会高速发展和患者人数的大幅增加,医院管理和服务的压力显著增大,只有采用科学先进的管理方法才能更好满足社会服务需求。本文主要介绍了“6S管理”方法在医院管理中的作用,提出了医院物资管理中存在的问题,介绍了“6S管理”具体内容和方法,结合“6S管理”方法在医院不同部门的具体应用,分析探讨“6S管理”在医院管理中的应用价值及在药库管理中的应用前景。

6S管理在医学机能学实验室中的应用

教学实验室是高校开展实验教学的重要场所,其管理水平直接影响着实验教学质量和学生的培养质量。针对医学机能学实验室管理存在的问题,浙江大学基础医学实验教学中心将6S管理理念引入实验室日常管理中,着重从实验室仪器耗材、实验室环境和实验室安全三个方面进行管理探索。实践表明,通过实施6S管理模式,实验室资源分配更合理,实验教学环境极大提高,师生的安全意识更强,实验教学效果更理想,学生的实验素养得到较大提升。

6S管理在机械类实验室管理中的应用研究

高校机械类实验室是培养学生实践动手能力、理论联系实际能力和创新能力的重要场所。文章分析了机械类实验室存在的问题,阐述了在机械类实验室推行6S管理的作用、意义及按照6S管理的整理、整顿、清扫、清洁、素养、安全六项要素推进机械类实验室管理模式改进的措施,达到改善实验环境、提高实验室利用效率、保障实验室安全、规范实验室管理的目的,同时将育人理念渗透到实践教学中,引导学生的思想和行为,对培养学生良好的职业素养和品质等有重要作用。

KLF4通过mTOR/P70S6K途径激活细胞自噬减轻高糖诱导的足细胞损伤

目的:分析Krüppel样转录因子4(KLF4)对高糖诱导的足细胞损伤的影响及相关分子机制。方法:体外培养MPC5细胞,将MPC5细胞分为对照组(Control组)、高糖组(HG组)、高糖+空载质粒对照组(HG+NC组)、高糖+KLF4过表达组(HG+KLF4组)。采用qRT-PCR法检测细胞中KLF4 mRNA表达水平,CCK-8法测定细胞增殖活性,流式细胞术检测细胞凋亡,Western blot法检测细胞中相关蛋白表达水平。结果:与Control组比较,HG组MPC5细胞中KLF4 mRNA和蛋白表达量降低,细胞增殖活性降低,细胞凋亡率升高,细胞中突触足蛋白(synaptopodin)、足蛋白(podocin)、肾蛋白(nephrin)、微管相关蛋白轻链3-Ⅱ(LC3-Ⅱ)、Beclin1蛋白表达量降低,P62蛋白表达量、磷酸化哺乳动物雷帕霉素靶蛋白(p-mTOR)/mTOR和磷酸化核糖体40S小亚基S6蛋白激酶(p-P70S6K)/P70S6K比值升高;差异均有统计学意义(P<0.05)。与HG组比较,HG+KLF4组MPC5细胞中KLF4 mRNA和蛋白表达量升高,细胞增殖活性升高,细胞凋亡率降低,细胞中synaptopodin、podocin、nephrin、LC3-Ⅱ、Beclin1蛋白表达量升高,P62蛋白表达量、p-mTOR/mTOR和p-P70S6K/P70S6K比值降低,差异均有统计学意义(P<0.05)。结论:KLF4通过激活足细胞自噬减轻高糖诱导的足细胞损伤,其作用机制可能与调控mTOR/P70S6K信号通路有关。

外周血CTC、PD-L1及S100A6BP水平对胃癌患者诊断及预后价值

目的 探讨外周血循环肿瘤细胞(CTC)、程序性死亡因子配体-1(PD-L1)、及钙周期素结合蛋白(S100A6BP)水平对胃癌患者诊断及预后价值研究。方法 选取2020年5月至2022年5月南阳市第一人民医院收治的182例胃癌患者为观察组,根据预后情况分为预后良好组(124例)及预后不良组(58例),选取同期90名健康志愿者作为对照组。比较所有受试者外周血CTC、PD-L1、S100A6BP水平,评估CTC、PD-L1、S100A6BP单独及联合检测在胃癌患者诊断及预后中的应用价值。结果 观察组外周血CTC、PD-L1及S100A6BP水平均高于对照组,差异有统计学意义(P<0.05);CTC、PD-L1及S100A6BP三者联合检测对胃癌患者诊断灵敏度、特异度均较单一检测高(P<0.05);预后良好者肿瘤直径、CTC、PD-L1、S100A6BP、TNM(Ⅲ~Ⅳ)、中高分化、淋巴结转移、浸润深度(T3-T4)均较预后不良组低,差异有统计学意义(P<0.05),TNM(Ⅰ~Ⅱ)、低度分化、浸润深度(T1-T2)水平较预后不良组高,差异有统计学意义(P<0.05);多因素Logistic回归分析显示,肿瘤直径、TNM分期、分化程度、浸润深度、淋巴结转移、CTC、PD-L1、S100A6BP是影响胃癌预后不良的独立危险因素(P<0.05);ROC曲线分析显示,CTC、PD-L1、S100A6BP单一及联合检测预测胃癌患者预后AUC分别为0.808、0.845、0.874、0.955(P<0.05)。结论 CTC、PD-L1、S100A6BP在胃癌患者外周血中呈高表达,与患者病理特征及预后有密切关系,三者联合检测对胃癌患者诊断及预后具有较高的预测价值。

内部审计提升企业商业生态价值的思维与路径探析--基于6S管理体系及人本审计的视角

随着中国经济快速发展,中国特色现代企业制度更加成熟定型,中央高层越来越重视内部审计工作。商业生态企业减少了企业管理层级,现代受托责任的复杂性也发生了很大的变化。内部审计与企业管理体系的契合性具有重要的实践意义,但目前欠缺系统的研究。本文以实现企业高质量发展为目标,结合6S管理体系分析内部审计如何嵌入我国企业管理实践,并研究了内部审计的实践内涵,提出了研究型内部审计的新思维:人本内审、“物理-事理-人理”(WSR)的内部审计方法论、“三线模型”视角的内部审计指数框架、“一利五率”及共赢增值表要素的财务绩效审计维度,来构建全景式增值型内部审计路径。文章探讨内部审计各种嵌融关系,推动组织治理、风险管理和实现战略目标,从而提升企业商业生态价值,服务中国式现代化的内部审计体系创新。

6S管理模式在消化内镜中心护理质量控制中的应用效果

目的探讨消化内镜护理质量控制中实施基于整理-整顿-清扫-清洁-素养-安全(6S)管理模式的应用效果。方法选取2023年1—6月绵阳市中心医院内镜中心实施常规管理模式的80件消化内镜、行消化内镜检查的2317例患者作为A组,另选取2023年7月绵阳市中心医院消化内镜中心实施6S管理模式的80件消化内镜,行消化内镜检查的2483例患者作为B组。A组实施常规管理模式,B组在A组基础上实施6S管理模式,比较2组清洗消毒合格率、器械损坏率及患者护理满意度。结果干预后,B组清洗消毒合格率(98.75%)高于A组(81.25%),而器械损坏率(1.25%)低于A组(11.25%),差异有统计学意义(P<0.05)。干预后,与A组患者护理满意度各维度评分比较,B组均偏高(P<0.05)。结论消化内镜护理质量控制中采用基于6S管理模式能有效提高清洗消毒合格率,降低器械损坏率,患者护理满意度较高。此文的研究结果为消化内镜护理后期标准制订提供了借鉴内容。