中国“居民健身指数”指标体系的构建研究

在国际上,居民健身指数是反映某地区居民的健身情况、身体素质及健康状况的指标。构建中国“居民健身指数”指标体系既能评估中国各省(市、自治区)居民健身活动开展情况,又能比较中国各省(市、自治区)公共体育服务供给情况,而且有助于中国各省(市、自治区)评估居民健康水平和全民健身工作促进居民健康的整体情况。运用文献研究法、德尔菲法、层次分析法、问卷调查法,以社会生态系统理论为理论基础,基于中国居民的特点和借鉴其他国家的某些专家构建“居民健身指数”指标体系的相关经验,从个人健康发展和社会支持的视角构建中国“居民健身指数”指标体系。该指标体系的构建包括4个步骤,即设定构建目标、形成构建思路、确定构建程序和优化指标,最终形成了由3个一级指标、7个二级指标和20个三级指标构成的中国“居民健身指数”指标体系。同时,分析了该指标体系相较美国的“居民健身指数”指标体系的优势,并且阐述了研究中的局限。

全民健身信息服务平台关键技术研究

搭建全民健身信息服务平台需要解决全民健身安全性和有效性及健身绩效评价的关键技术。针对全民健身运动风险识别难、健身数据精准采集难、个体化健身指导难、健身大数据融合和安全共享难、全民健身绩效评价难等问题,研究健身危险事件人工智能识别、健身行为精准监测、个体化科学健身指导和健身数据融合共享技术及全民健身多层次综合服务评价方法等,解决我国搭建全民健身信息化服务平台的关键技术及产品缺失问题,为搭建新一代全民健身信息服务平台提供高新技术支撑,将有助于全民科学健身和推进健康中国建设。

中国中小微企业发展——数据与新发现

基于2018—2021年中国企业创新创业调查(ESIEC)数据,本文重点描述了中国中小微企业2021年的生存状态、经营困境以及企业家应对危机冲击的措施,并总结了其近五年来的发展变化规律。研究发现:第一,中国中小微企业生存面临严峻挑战,实际退出率远高出工商登记数据;第二,中小微企业经营最大的难题是需求不足,而政府的扶持政策基本上是针对生产端的企业而非消费端,无法有效解决其需求不足的问题;第三,面对经营困境,部分中小微企业保持了强大的经营韧性。企业家们对未来充满信心,不断创新,通过数字化转型和调整供应链布局来保持企业的发展。此外,中小微企业对保就业、稳定供应链和服务民生等方面具有重要贡献。

线性正则变换的离散化研究进展

线性正则变换(LCT)是Fourier变换和分数阶Fourier变换的广义形式。近年来研究成果表明,LCT在光学、信号处理及应用数学等领域有广泛的应用,而离散化成为了其得以应用的关键。由于LCT的离散算法不能简单直接地将时域变量和LCT域变量离散化得到,因此LCT的离散算法成为近年来的研究重点。本文依据LCT的离散化发展历史,对其重要研究进展和现状进行了系统归纳和简要评述,并给出不同离散化算法之间的区别和联系,指明了未来发展方向。这对研究者全面了解LCT离散化方法具有很好的参考价值,可以进一步促进其工程应用。

Research Progress of the Algebraic and Geometric Signal Processing

The investigation of novel signal processing tools is one of the hottest research topics in modern signal processing community. Among them, the algebraic and geometric signal processing methods are the most powerful tools for the representation of the classical signal processing method. In this paper, we provide an overview of recent contributions to the algebraic and geometric signal processing. Specifically, the paper focuses on the mathematical structures behind the signal processing by emphasizing the algebraic and geometric structure of signal processing. The two major topics are discussed. First, the classical signal processing concepts are related to the algebraic structures, and the recent results associated with the algebraic signal processing theory are introduced. Second, the recent progress of the geometric signal and information processing representations associated with the geometric structure are discussed. From these discussions, it is concluded that the research on the algebraic and geometric structure of signal processing can help the researchers to understand the signal processing tools deeply, and also help us to find novel signal processing methods in signal processing community. Its practical applications are expected to grow significantly in years to come, given that the algebraic and geometric structure of signal processing offer many advantages over the traditional signal processing.

Using the multi-living agent concept to investigate complex information systems

In this paper, we propose the multi-living agent （MLA） concept based on the of analysis the characteristics of complex information systems, especially those systems that require multi-functional operations under strict restraint strong countermeasures （SRSC） environment. First, we investigate the representation of the livelihood of the system under the SRSC conditions, and obtain the basic dynamical presentation of the MLA from the profile of the system＇s function. Next, we propose the concept of the living self-organization based on the self-organization profile of the system, and derive a Two-Set model of the living self-organization mechanism. Further, based on the above results, we present a basic construction model of MLA-based information systems in the field of information security and countermeasures. A three-level negotiation-coordination mechanism is also derived. Finally, we present two practical examples to show how to use the MLA concept to analyze and study real complex information systems. In our opinion, the proposal of the MLA will bridge the gap between the research of the application and the basic application level of science. It provides the principle research methods and the supporting theories for the construction and analysis of complex information systems in the information security and countermeasures field.