Central Economic Work Conference:A Key Indicator for Future Market Trends

China concluded the highly anticipated annual Central Economic Work Conference(CEWC)on December 12,which outlined the government’s main economic objectives and policy plans for 2025.The Central Economic Work Conference has set the tone for China’s economic development in the coming year,particularly providing important guidelines and new requirements for foreign trade and economic cooperation.These directives are of great significance for China to further expand its opening-up and promote the high-quality development of foreign trade.

Use of cognitive-behavioral career coaching to reduce work anxiety and depression in public employees

BACKGROUND Public employees worldwide are increasingly concerned about work anxiety and depression.Cognitive-behavioral career coaching has emerged as a promising strategy for addressing these mental health disorders,which can negatively impact on a person's overall well-being and performance.AIM To examine whether cognitive-behavioral career coaching reduces work anxiety and depression among Nigerian public employees.METHODS A total of 120 public employees(n=60)suffering from severe anxiety and depression were randomly assigned to the treatment or control groups in this study.Cognitive behavioral coaching was provided twice a week to those in the treatment group,whereas no treatment was given to those in the control group.As part of the study,the Hamilton Anxiety Rating Scales and Beck Depression Inventory were used to collect data.RESULTS Analysis of covariance of the data from participants indicates a significant effect of cognitive-behavioral career coaching on work anxiety and depression.CONCLUSION Insights into the underlying mechanisms by which cognitive behavior career coaching exerts its effects have been gained from this study.Also,the study has gathered valuable data that can inform future practice and guide the development of strategies for supporting mental health at work.

Ten Highlights for the Central Economic Work Conference

The Central Economic Work Conference is the barometer for the macro-economy in which the economic work of previous year is summarized,the current economic situation is analyzed and work for next year is planned.What are the major highlights for the Central Economic Work Conference that closed at the end of 2019?

The Central Economic Work Conference Sets the Tone for Annual Economic Work

The annual Central Economic Work Conference,which analyzes China’s economic situation and prepares plans for the development of the national economy in the coming year,is also the top-level economic conference each year.This year’s conference conveyed a lot of information,from which we have selected several sets of key phrases.Key phrases 1:pursue progress while ensuring stability,consolidate stability through progress,and establish the new before abolishing the old The Central Economic Work Conference pointed out that,generally speaking,favorable conditions outweigh unfavorable factors in China’s development,the fundamental trend towards economic recovery and a long-term positive outlook has not changed,and it is important to increase confidence.The conference stressed that it is important to stick to high-quality development.Regarding work in the coming year,the conference called for efforts to pursue progress while ensuring stability,to consolidate stability through progress,and to establish the new before abolishing the old.

档案工作服务党和国家中心工作的能力提升路径

首先分析了档案工作在服务国家重大战略实施、服务经济社会高质量发展等方面的实践探索,其次剖析了新时代档案工作服务党和国家中心工作能力体系,再次从坚持党的领导、突出主责主业、创新理念方法、强化科技支撑、深化队伍建设、完善治理机制等方面,提出提升档案工作服务党和国家中心工作能力的具体路径。

基于LonWorks技术的集中供热网监控系统

对如何在集中供热网监控系统中应用新型的现场总线LonWorks技术进行了研究。介绍了LonWorks技术的系统结构、技术核心和通信协议等关键性技术内容。在此基础上,给出了基于LonWorks技术的集中供热网监控系统的应用方案,介绍了该分布式监控系统的系统结构、各部分功能和实现方法,详细阐述了系统的软件结构和软件实现方法。建立了新的基于LonWorks技术的集中供热网监控系统,利用分散的智能节点有效的实现了分散检测、集中控制和统一调节。

新时代中国共产党人赓续伟大建党精神的行动路径及其内在逻辑

作为中国共产党百年奋斗取得成功的重要保障,辩证思维对于提升新时代伟大建党精神的续效能有着重要的指导价值。新时代中国共产党人运用辩证思维,创造性开辟了诸多有助于涌现伟大建党精神赓续效能的行动路径。坚持党的中心工作与意识形态工作的辩证统一,有助于夯实伟大建党精神的民意根基;坚持党领导社会革命和勇于自我革命的辩证统一,有助于激扬伟大建党精神的内生动力;坚持敢于斗争与善于斗争的辩证统一,有助于砥砺续伟大建党精神的关键主体;坚持思想政治理论课的建设性与批判性的辩证统一,有助于彰显伟大建党精神的育人作用。新时代中国共产党人续伟大建党精神的四条行动路径,各自蕴含了鲜明的问题导向,释放了伟大建党精神的强大优势。伟大建党精神的四层内涵紧密相关,决定了新时代中国共产党人续伟大建党精神在具体运作上虽离不开每一条行动路径的独特优势与重点发力,但更需四条行动路径基于优势互补与协同发力而耦合为严密的逻辑整体。

Working-memory training improves developmental dyslexia in Chinese children

Although plasticity in the neural system underlies working memory, and working memory can be improved by training, there is thus far no evidence that children with developmental dyslexia can benefit from working-memory training. In the present study, thirty dyslexic children aged 8-11 years were recruited from an elementary school in Wuhan, China. They received working-memory training including training in visuospatial memory, verbal memory, and central executive tasks. The difficulty of the tasks was adjusted based on the performance of each subject, and the training sessions lasted 40 minutes per day, for 5 weeks. The results showed that working-memory training significantly enhanced performance on the nontrained working memory tasks such as the visuospatial, the verbal domains, and central executive tasks in children with developmental dyslexia. More importantly, the visual rhyming task and reading fluency task were also significantly improved by training. Progress on working memory measures was related to changes in reading skills. These experimental findings indicate that working memory is a pivotal factor in reading development among children with developmental dyslexia, and interventions to improve working memory may help dyslexic children to become more proficient in reading.

Topology control of tactical wireless sensor networks using energy efficient zone routing

The US Department of Defense （DoD） routinely uses wireless sensor networks （WSNs） for military tactical communications. Sensor node die-out has a significant impact on the topology of a tactical WSN. This is problematic for military applications where situational data is critical to tactical decision making. To increase the amount of time all sensor nodes remain active within the network and to control the network topology tactically, energy efficient routing mechanisms must be employed. In this paper, we aim to provide realistic insights on the practical advantages and disadvantages of using established routing techniques for tactical WSNs. We investigate the following established routing algorithms： direct routing, minimum transmission energy （MTE）, Low Energy Adaptive Cluster Head routing （LEACH）, and zone clustering. Based on the node die out statistics observed with these algorithms and the topological impact the node die outs have on the network, we develop a novel, energy efficient zone clustering algorithm called EZone. Via extensive simulations using MATLAB, we analyze the effectiveness of these algorithms on network performance for single and multiple gateway scenarios and show that the EZone algorithm tactically controls the topology of the network, thereby maintaining significant service area coverage when compared to the other routing algorithms.

IUKF neural network modeling for FOG temperature drift

A novel neural network based on iterated unscented Kalman filter （IUKF） algorithm is established to model and com- pensate for the fiber optic gyro （FOG） bias drift caused by temperature. In the network, FOG temperature and its gradient are set as input and the FOG bias drift is set as the expected output. A 2-5-1 network trained with IUKF algorithm is established. The IUKF algorithm is developed on the basis of the unscented Kalman filter （UKF）. The weight and bias vectors of the hidden layer are set as the state of the UKF and its process and measurement equations are deduced according to the network architecture. To solve the unavoidable estimation deviation of the mean and covariance of the states in the UKF algorithm, iterative computation is introduced into the UKF after the measurement update. While the measure- ment noise R is extended into the state vectors before iteration in order to meet the statistic orthogonality of estimate and mea- surement noise. The IUKF algorithm can provide the optimized estimation for the neural network because of its state expansion and iteration. Temperature rise （-20-20℃） and drop （70-20℃） tests for FOG are carried out in an attemperator. The temperature drift model is built with neural network, and it is trained respectively with BP, UKF and IUKF algorithms. The results prove that the proposed model has higher precision compared with the back- propagation （BP） and UKF network models.

Optimization of Laser Ablation Technology for PDPhSM Matrix Nanocomposite Thin Film by Artificial Neural Networks-particle Swarm Algorithm

A new thermal ring-opening polymerization technique for 1, 1, 3, 3-tetra-ph enyl-1, 3-disilacyclobutane （TPDC） based on the use of metal nanoparticles produced by pulsed laser ablation was investigated. This method facilitates the synthesis of polydiphenysilylenemethyle （PDPhSM） thin film, which is difficult to make by conventional methods because of its insolubility and high melting point. TPDC was first evaporated on silicon substrates and then exposed to metal nanoparticles deposition by pulsed laser ablation prior to heat treatment.The TPDC films with metal nanoparticles were heated in an electric furnace in air atmosphere to induce ring-opening polymerization of TPDC. The film thicknesses before and after polymerization were measured by a stylus profilometer. Since the polymerization process competes with re-evaporation of TPDC during the heating, the thickness ratio of the polymer to the monomer was defined as the polymerization efficiency, which depends greatly on the technology conditions. Therefore, a well trained radial base function neural network model was constructed to approach the complex nonlinear relationship. Moreover, a particle swarm algorithm was firstly introduced to search for an optimum technology directly from RBF neural network model. This ensures that the fabrication of thin film with appropriate properties using pulsed laser ablation requires no in-depth understanding of the entire behavior of the technology conditions.

Network selection based on available lin bandwidth in multi-access networks

One of the important aspects of seamless communication for ubiquitous computing is the dynamic selection of the best access network for a multimodal device in a heterogeneous wireless environment. In this paper, we consider available bandwidth as a dynamic parameter to select the network in heterogeneous environments. A bootstrap approximation based technique is firstly utilized to estimate the available bandwidth and compare it with hidden Markov model based estimation to check its accuracy. It is then used for the selection of the best suitable network in the heterogeneous environment consisting of 2G and 3G standards based wireless networks. The proposed algorithm is implemented in temporal and spatial domains to check its robustness. The numerical results show that the proposed algorithm gives improved performance in terms of estimation error （less than 15%）, overhead （varies from 0.45% to 72.91%） and reliability （approx. 99%）as compared to the existing algorithm.

基于LonWorks技术的远程电站集中监控系统

本文介绍了远程电站集中监控系统的硬件组成、功能及系统特点,并论述了设计过程中软硬件的关键技术。

论加强党对审计工作的领导

加强党中央对审计工作的集中统一领导是习近平新时代中国特色社会主义思想在审计领域的具体实践,是习近平新时代中国特色社会主义思想在审计领域取得的历史性成就。习近平新时代中国特色社会主义思想是指导审计实践、推动审计高质量发展的强大思想武器,是加强党对审计工作领导、坚持和维护党中央集中统一领导的基本依据,彰显了习近平新时代中国特色社会主义思想在审计理论和实践中的巨大真理力量和独特思想魅力。我国审计从一产生就为国家治理服务,根据国家治理的意志和目标依据国家治理体系的法律法规制度审核决策执行情况,并向国家治理的最高决策者报告审核结果。在不同的国家治理时期,我国审计与国家治理的重点内容紧密结合,形成了彰显各个历史时期特色的审计制度。党中央集中统一领导是我国审计发展规律在中国特色社会主义新时代的历史性升华。

2024年中央一号文件的突出亮点

2024年中央一号文件以习近平新时代中国特色社会主义思想为指导,为2024年乃至今后一段时期的“三农”工作进行了系统部署和具体安排,呈现了一系列突出亮点。即:凸显了贯彻中央经济工作会议精神和深化对“三农”工作的规律性认识,明确了学习运用“千万工程”经验引领乡村全面振兴的要求,重视运用战略思维和改革创新,统筹强化软政策引领与硬政策支撑作用,坚持守正创新,确保国家粮食安全有新招,确保不发生规模性返贫底线更明确措施更有力,强调以坚持“三个提升”为重点建设宜居宜业和美乡村。

New Five-Year Program and Progress of China's Human Rights Cause——A study of the guidelines set by the Fifth Plenary Session of the Seventeenth Central Committee of the Communist Party of China

The Proposal for the Twelfth Five-Year Plan for China＇s Economic and Social Development （2011-2015）（herein after referred to as the ＂Proposed Plan＂ for short） provides a complete range of guidelines for China＇s im-mediate and long-term development.

持续推动经济回升向好需要科学处理几方面重要关系

2023年我国经济在总体上呈现回升向好态势。“经济回升向好”是2023年12月召开的中央经济工作会议的重要关键词。但要持续推动我国经济回升向好,需要科学处理实现经济质的有效提升和量的合理增长、坚持高质量发展和实现高水平安全之间、扩大内需和深化供给侧结构性改革之间的关系,并就今后如何科学处理三方面的关系进行了探讨。必须把坚持高质量发展作为新时代的硬道理,努力营造高质量发展和高水平安全相互成就的发展格局,把扩大内需同深化供给侧结构性改革结合起来。

中央红军“巧渡”金沙江与党的民族工作实践及影响研究

“巧渡”金沙江是1935年红军长征经过云南期间的一次战略性转移的重大胜利,对中央红军跳出国民党追兵的包围圈、转战川西,并最终赢得长征的伟大胜利、实现北上抗日具有重要意义。“巧渡”金沙江的成功,根本原因是以毛泽东同志为代表的党中央审时度势,制定了正确的军事路线并形成了机动灵活的战略战术。同时,党中央还立足于云南多民族的省情,“巧”做民族工作,为渡江创造了有利的战略机遇、奠定了坚实的群众基础。

党的职能部门统一归口协调管理的党内法规制度完善

归口协调管理是中国特色社会主义政治制度下,执政党对政府和其他政权组织、社会组织的领导与分类管理相结合的分类治理机制。党的职能部门统一归口协调管理作为党的十八大以来党和国家机构改革的重大制度举措,是发挥好党总揽全局、协调各方领导核心作用的重要内容之一。现行党内法规体系中并未将归口管理列为正式制度单独予以规定,归口管理作为新时代具有创制意义的党政机构改革模式,尚处于发展期和磨合期,仍然需要结合改革实践不断调试、完善与发展。其不仅涉及党的组织对政府组织和其他政权组织、社会组织的多重领导关系和管理关系,更涉及党的组织工作层次的合理划分以及工作机制的分类推进等党和国家机构深化改革中的一些深层次问题,仍需要在理论上和实践中不断探索、逐步完善。现阶段,党的职能部门归口管理虽不具备通过制定专门党内法规进行统一规范的立规条件,但应当以《中国共产党工作机关条例》的修订工作为契机,在明确党的职能部门归口管理制度内涵的基础上,本着规范主体、规范行为的原则,完善归口管理的一般性原则规定,为其制度的体系化完善打好坚实基础。

中心工作机制:跨界治理中的党政体制及其运行——以沪浙“毗邻党建”为例

如何推动毗邻地区的跨界治理是中国国家治理的重要议题。“毗邻党建”在上海金山和浙江平湖建立起集中化的跨界合作网络,由金山区委和平湖市委通过联席会议磋商阶段性跨界治理中心工作事项,然后分头落实,推动了跨界问题的解决和重点事项的合作,体现的是中心工作机制的运行。具体而言,两地党委通过归口管理、工作小组和党委负责等工作机制,配合以政治动员、压力动员和宣传动员等宣传机制,以中心工作事项整合相关职能部门及其资源,突破了科层体制的弊端,实现了跨界问题有效治理。