Construction Of System Research Articles

Research on national fitness policy (1995-2021) from the perspective of objectives and tools

This study delves into the intricate landscape of China's national fitness policy, emphasizing the pivotal role of policy tools in crafting and executing effective strategies. Through a meticulous examination of 13 policy texts, significant disparities in tool utilization emerge, revealing issues such as imbalances and varying degrees of emphasis on content system construction. Leveraging Rothwell and Zegveld's classification method, the study categorizes national fitness policy tools into supply, demand, and environment types, elucidating their unique impacts and roles. It advocates for a strategic selection and utilization of policy tools to rectify existing imbalances and bolster effectiveness. The study underscores the importance of a balanced approach between supply and demand-oriented tools, advocating for transparency, flexibility, and accountability in policy adjustments. Additionally, it highlights the significance of maintaining stable utilization of supply-oriented tools and strengthening efforts in talent development and social guidance teams to sustain momentum. Overall, the study advocates for a holistic and dynamic approach to policy tool selection and utilization, ensuring alignment with overarching goals and fostering a healthier, more active society. By offering nuanced insights and pragmatic recommendations, it aims to catalyze the realization of a stronger and healthier nation through the implementation of effective national fitness policies, thereby uplifting the well-being of its citizens and nurturing a vibrant and resilient society.

“Comprehensive Integration” Method Based on the Bayesian Network and the Big Data Using in the Construction of New Energy System

With the continuous application of the big data technology, “Comprehensive Integration” theory is an approach to management based on Rooted theory, which has been successfully applied to the management of large enterprises and research organizations of all kinds. State Grid Corporation of China in the management process of the construction of a new energy system, with a strong innovative, large-scale investment, many participating units, urgent needs and other characteristics of its management capabilities put forward higher requirements. In this paper, a system integration principle based on the Bayesian probabilistic approach and the big data is proposed to realize the engineering application of the theory of “Comprehensive Integration”. By splitting the management system of the new energy system construction, the unit composition of the system can be interpreted to form a complete system and node interaction Bayesian network structure. The algorithm proposed in this paper is implemented in Netica, a commercial statistical analysis software, and its effectiveness is verified, which provides an important theoretical basis for the engineering practice of the theory of “Comprehensive Integration”. Finally, the effectiveness of the Dynamic probabilistic network method was quantitatively verified in a lithium battery pack energy storage management example.

Analysis and construction of evaluation index system for tourism management classroom teaching based on regression model

In order to construct an evaluation index system suitable for tourism management classroom teaching, this article evaluates the teaching effectiveness of teachers and improves the teaching quality of tourism management courses. This article is based on developmental evaluation theory, using Analytic Hierarchy Process, Project Response Theory, and CIPP model to construct an indicator system suitable for tourism management classroom teaching. Then, based on the collected data of 5763 students, the reliability and effectiveness of the tool and indicator system were first verified. Then, the variable of teacher teaching style was introduced to construct an OLS regression model for empirical research. The research will summarize teacher and student data collected through the platform and conduct reliability analysis in SPSS 22.0 software, using Cronbach α The credibility of coefficient testing and evaluation tools. Cronbach in Environmental Fundamentals α The cβoefficient value is 0.8350. Cronbach for resource allocation α The coefficient is 0.735, and the Cronbah of the implementation process α Cronb Bach with a coefficient of 0.7 47 for teaching performance α The coefficient is 0.7240, indicating that rat ings has high reliability. Research has found that among the four specific types, the holistic type has the greatest impact on the specific situation, the holistic type has the greatest impact on the environmental foundation and resource allocation, and the legislative type has the greatest impact on the implementation process and teaching performance.

Anti-Freezing and Ultrasensitive Zwitterionic Betaine Hydrogel-Based Strain Sensor for Motion Monitoring and Human-Machine Interaction.

Ultrasensitive and reliable conductive hydrogels are significant in the construction of human-machine twinning systems. However, in extremely cold environments, freezing severely limits the application of hydrogel-based sensors. Herein, building on biomimetics, a zwitterionic hydrogel was elaborated for human-machine interaction employing multichemical bonding synergies and experimental signal analyses. The covalent bonds, hydrogen bonds, and electrostatic interactions construct a dense double network structure favorable for stress dispersion and hydrogen bond regeneration. In particular, zwitterions and ionic conductors maintained excellent strain response (99 ms) and electrical sensitivity (gauge factor = 14.52) in the dense hydrogel structure while immobilizing water molecules to enhance the weather resistance (-68 °C). Inspired by the high sensitivity, zwitterionic hydrogel-based strain sensors and remote-control gloves were designed by analyzing the experimental signals, demonstrating promising potential applications within specialized flexible materials and human-machine symbiotic systems.

Can episodic memory deter cheating and promote altruism?

Episodic memory gives us the ability to mentally travel back in time to revisit and relive past experiences. In recent years, there has been an increased interest in the function of episodic memory. According to the orthodox view, episodic memory should be considered a part of a constructive system that simulates the future for sophisticated foresight and flexible planning. In this paper, I offer a novel alternative view. I argue that episodic memory provides invaluable information about the past behavior of others, allowing us to identify reliable and trustworthy partners while avoiding dealing with cheaters. Theoretical models demonstrate that cooperation in groups can be maintained if potential partners use information about an individual’s past behavior to guide their behavior toward that individual. In these reputation-based models of human cooperation, individuals with a history of cheating are ostracized, whereas those with a history of cooperative behavior flourish. Against this theoretical background, it is possible to see a function of episodic memory in facilitating information exchange about others, helping group members make effective partner choices, and avoiding the risk of interacting with cheaters. If correct, episodic memory may have played a significant role in the evolution of human cooperation.

Research on the Teaching Resource Construction System of Computer VR Online Interactive Experiment Platform for Mechanical Engineering Graphics

The introduction of three-dimensional design experiment teaching in engineering drawing teaching. The experimental platform of "network engineering drawing" is established, and the corresponding multimedia teaching software is developed using WebVR, ASP, database and other technologies. The 3D modeling method of the reducer is established by using UGNX and optimized accordingly. In order to solve the problem that UGNX mode introduces packet loss in the simulation system, the model and data are reconstructed separately. Using VisualStudio2019 as the development platform, the 3D modeling of the reducer is realized. The establishment of the engineering graphics design virtual simulation system helps enterprises to simulate operations before actual production and processing. It greatly improves production efficiency and reduces production costs.

Research on the Identification of Rural Revitalization Potential and Precise Financial Support in Poverty-Stricken Areas

Research on the Identification of Rural Revitalization Potential and Precise Financial Support in Poverty-Stricken Areas

Planning, Scheduling and Allocation of Resources for Multi-storied Structure using Microsoft Project Software

The focus of this work is to study scheduling styles and construction systems for multistorey structures, with the end of applying Microsoft Project software to plan and record a academic RCC domestic G+10 structure construction design. The study compares the traditional approach used by engineers, masterminds, and contractors with the ultramodern software fashion. compliances from the study indicate that Microsoft Project software is an effective tool for generating Gantt maps for construction design schedules. The software also offers the capability to determine the minimal duration of construction time through schedule scraping and design crashing styles. Overall, the study provides precious information on the operation of Microsoft Project software for planning and scheduling structure construction systems. The use of this software can help to streamline the scheduling process, increase effectiveness, and reduce costs associated with construction systems. It's important to note that while technology can be helpful in design planning and operation, it isn't a relief for educated professionals in the field who can give perceptivity and make informed opinions

Enhanced performance of attapulgite-supported g-C3N4 for photocatalytic CO2 reduction

As a new type of non-metallic semiconductor photocatalyst, g-C3N4 has great potential in photocatalytic CO2 reduction. However, due to the low catalytic activity, it is still far from industrial reality for such applications. Herein, this work introduces attapulgite (ATP) into the photocatalyst system of g-C3N4. Additionally, ATP/Au-CN was obtained through the photodeposition method. The photocatalytic reduction ability of the photocatalyst for CO2 is enhanced. The photoelectric tests show that loading of ATP can promote the separation and migration of photocarriers. Through BET testing, it was found that the alkaline pore structure on the surface of ATP not only captures CO2, but also increases the specific surface area of the composite. According to the experimental results, the possible photocatalytic mechanism was verified by in-situ diffuse reflection infrared Fourier transform (DRIFT) spectral analysis and DFT calculation. This work provides new guidance for the construction of high efficient photocatalyst systems using abundant ATP as a support.

Construction and Consolidation of Caste System Through Ideological State Apparatuses: A Study of Girish Karnad’s Talé-Dan˙d˙a

This article critically examines Girish Karnad’s play Talé-Dan˙d˙a as a lens through which the construction and consolidation of the caste system in India is explored. The study focuses on the utilization of ideological state apparatuses (ISA) by the ‘upper-caste’ to suppress attempts at social reform and the creation of a casteless society. By analysing the characters and their interactions within the play, the article argues that repressive and non-violent state apparatuses, such as religion, family, identity formation and language are employed to perpetuate caste-based discrimination and maintain the existing social hierarchy. Drawing on Louis Althusser’s concept of ideological and repressive state apparatuses, the article provides a comprehensive analysis of how these apparatuses are instrumental in preserving caste-based inequalities and solidification of the caste system.

Enhancing non-intrusive load monitoring with weather and calendar feature integration in DAE

The construction of modern power system is key to achieving dual carbon goals, where non-intrusive load monitoring (NILM) plays a vital role in enhancing energy utilization efficiency and energy management. For example, to enable prosumers to better understand the extent of their flexible loads for demand response and peer-to-peer trading, it is essential to be aware of the types and states of loads using the method of NILM. To improve the predictive accuracy and implementation effectiveness of NILM technology, this paper proposes a novel NILM method integrating meteorological and calendar features. It delves deeply into the close connection between external factors such as temperature, precipitation, wind speed, and holidays, and the energy consumption of electrical appliances, constructing additional associative mappings in the training of the Denoising Autoencoder (DAE) model. Test results on the UK-DALE public dataset show that the NILM method proposed in this paper has significant advantages over traditional NILM methods that consider only single-dimensional electrical data features, in terms of load pattern recognition and accuracy in load energy consumption monitoring. This confirms the potential of multi-dimensional feature fusion technology in the application of NILM.

Conjunctive encoding of exploratory intentions and spatial information in the hippocampus

The hippocampus creates a cognitive map of the external environment by encoding spatial and self-motion-related information. However, it is unclear whether hippocampal neurons could also incorporate internal cognitive states reflecting an animal’s exploratory intention, which is not driven by rewards or unexpected sensory stimuli. In this study, a subgroup of CA1 neurons was found to encode both spatial information and animals’ investigatory intentions in male mice. These neurons became active before the initiation of exploration behaviors at specific locations and were nearly silent when the same fields were traversed without exploration. Interestingly, this neuronal activity could not be explained by object features, rewards, or mismatches in environmental cues. Inhibition of the lateral entorhinal cortex decreased the activity of these cells during exploration. Our findings demonstrate that hippocampal neurons may bridge external and internal signals, indicating a potential connection between spatial representation and intentional states in the construction of internal navigation systems.

Reverse Engineering Based on Digital Data Capture In Situ as a Methodology for the Study of Space Labor Risk in Construction Works and Its Applicability in BIM

In the intelligent manufacturing process and digitization, new research spaces have been created, such as reverse engineering and its use for the detection of risks in construction. For this reason, in this research, an analysis methodology is proposed that, through terrestrial laser scanner records in different phases of the work, allows for an analysis and evaluation of the identification of security risks. In addition, by capturing different processes, it can be determined not only interferences from different operators that can generate risk but also establish quality standards in construction, such as determining the thicknesses of the coating of the concrete manufactured “in situ”. Therefore, this research responds to quality analysis in the material execution of the activity and construction of formwork systems and their safety, as well as defining the location of the static and dynamic elements of the model. This value of the morphometric parameter of the building and the scene to be represented characterizes the morphometrics of the work execution activities and finally evaluates the semantic information model of the BIM construction, in which the deformations between the ideal model and what was executed. With the results of this study, it can be concluded that the latest 3D model reconstruction techniques (BIM), together with comparison algorithms, can determine millimeter precision, and with that, it can establish a better method for inspection, evaluation, and control through non-destructive technology.

System for Detecting Moving Objects Using 3D Li-DAR Technology

The “System for Detecting Moving Objects Using 3D LiDAR Technology” introduces a groundbreaking method for precisely identifying and tracking dynamic entities within a given environment. By harnessing the capabilities of advanced 3D LiDAR (Light Detection and Ranging) technology, the system constructs intricate three-dimensional maps of the surroundings using laser beams. Through continuous analysis of the evolving data, the system adeptly discerns and monitors the movement of objects within its designated area. What sets this system apart is its innovative integration of a multi-sensor approach, combining LiDAR data with inputs from various other sensor modalities. This fusion of data not only enhances accuracy but also significantly boosts the system’s adaptability, ensuring robust performance even in challenging environmental conditions characterized by low visibility or erratic movement patterns. This pioneering approach fundamentally improves the precision and reliability of moving object detection, thereby offering a valuable solution for a diverse array of applications, including autonomous vehicles, surveillance, and robotics.

Fuzzy Integrated Optimization-Based College and University Music Education Teaching System

Fuzzy integrated optimization refers to the application of fuzzy logic techniques in the optimization process to handle uncertain or imprecise information effectively. In traditional optimization problems, precise data and deterministic relationships are assumed. This paper proposes the construction of a teaching system for music education in colleges and universities based on fuzzy integrated optimization. Fuzzy logic techniques are applied to handle uncertain or imprecise information inherent in the optimization process. traditional optimization methods that assume precise data and deterministic relationships, fuzzy integrated optimization allows for the modeling of uncertainties in music education settings. By incorporating fuzzy logic into the design of the teaching system, educators can better adapt to the diverse learning needs and preferences of students. The implementation of the teaching system for music education in colleges and universities based on fuzzy integrated optimization yielded significant improvements across various performance metrics. Student engagement levels increased by an average of 25%, with a corresponding rise in satisfaction rates by 30%. Additionally, learning outcomes showed measurable enhancements, with a 20% increase in average test scores compared to traditional teaching methods. The adaptive nature of the teaching system resulted in a 15% reduction in dropout rates, indicating improved student retention and progression through music education programs. Educators reported a 40% increase in efficiency in lesson planning and delivery, attributed to the system's ability to provide personalized recommendations and insights tailored to individual student needs.

The Construction and Practice of Management Assessment System in Colleges Based on The Idea of Fine Management

The Construction and Practice of Management Assessment System in Colleges Based on The Idea of Fine Management

A cellulosomal yeast reaction system of lignin-degrading enzymes for cellulosic ethanol fermentation.

Biofuel production from lignocellulose feedstocks is sustainable and environmentally friendly. However, the lignocellulosic pretreatment could produce fermentation inhibitors causing multiple stresses and low yield. Therefore, the engineering construction of highly resistant microorganisms is greatly significant. In this study, a composite functional chimeric cellulosome equipped with laccase, versatile peroxidase, and lytic polysaccharide monooxygenase was riveted on the surface of Saccharomyces cerevisiae to construct a novel yeast strain YI/LVP for synergistic lignin degradation and cellulosic ethanol production. The assembly of cellulosome was assayed by immunofluorescence microscopy and flow cytometry. During the whole process of fermentation, the maximum ethanol concentration and cellulose conversion of engineering strain YI/LVP reached 8.68g/L and 83.41%, respectively. The results proved the availability of artificial chimeric cellulosome containing lignin-degradation enzymes for cellulosic ethanol production. The purpose of the study was to improve the inhibitor tolerance and fermentation performance of S. cerevisiae through the construction and optimization of a synergistic lignin-degrading enzyme system based on cellulosome.

The Application of Participatory Design in Weifang Kites, China

This paper discusses the key application of participatory design in Weifang kite culture. Kite, as a treasure of Chinese traditional culture, carries rich historical and cultural connotations. Weifang kite is famous both at home and abroad for its exquisite craftsmanship and unique design. However, under the impact of modern society, the traditional kite culture is facing the dual challenges of inheritance and innovation. Participatory design, with its emphasis on user participation and joint creation, provides a new perspective and method for the inheritance of kite culture. Through the systematic analysis of the core concept and implementation methods of participatory design, this paper creatively puts forward a set of targeted participatory design strategies based on the uniqueness of Weifang kite culture and the realistic needs of inheritance. These strategies aim to stimulate the enthusiasm of the community people to participate, gather collective wisdom, and jointly promote the innovation and development of kite culture. This paper mainly focuses on the theoretical discussion and the construction of the strategy system, aiming to provide new ideas and directions for the inheritance of Weifang kite culture, rather than being limited to specific cases or empirical analysis.

Study on the Current Status of China's Road to the Rule of Law and Countermeasures

The purpose of this thesis is to study the current situation of China's rule of law road and countermeasures, and to put forward corresponding recommendations. Firstly, the historical evolution of China's rule of law path is analysed, including the characteristics of the rule of law in ancient times, the beginning of the rule of law path in modern China and the current development of the rule of law. Then, the progress and achievements of China's rule of law construction are discussed, covering the formulation and improvement of laws and regulations, the advancement of the reform of the judicial system, as well as the enhancement of civic awareness and the popularisation of the concept of the rule of law. Then, the problems and challenges facing China's rule of law road are pointed out, including the imperfections in the implementation of laws and the lack of enforcement, the problems of judicial justice and judicial independence, the insufficient protection of citizens' rights and the lack of rule of law culture. Finally, countermeasures are proposed to strengthen the construction of the legal system, improve the judicial system, raise the level of civil rights protection and cultivate a culture of the rule of law. Through these countermeasures, the development of China's rule of law road can be further promoted, the level of the rule of law can be improved, and a strong guarantee can be provided for social stability and sustainable development.

DDE KG Editor: A data service system for knowledge graph construction in geoscience

AbstractDeep‐time Digital Earth (DDE) is an innovative international big science program, focusing on scientific propositions of earth evolution, changing Earth Science by coordinating global geoscience data, and sharing global geoscience knowledge. To facilitate the DDE program with recent advances in computer science, the geoscience knowledge graph plays a key role in organizing the data and knowledge of multiple geoscience subjects into Knowledge Graphs (KGs), which enables the calculation and inference over geoscience KGs for data mining and knowledge discovery. However, the construction of geoscience KGs is challenging. Though there have been some construction tools, they commonly lack collaborative editing and peer review for building high‐quality large‐scale geoscience professional KGs. To this end, a data service system or tool, DDE KG Editor, is developed to construct geoscience KGs. Specifically, it comes with several distinctive features such as collaborative editing, peer review, contribution records, intelligent assistance, and discussion forums. Currently, global geoscientists have contributed over 60,000 ontologies for 22 subjects. The stability, scalability, and intelligence of the system are regularly improving as a public online platform to better serve the DDE program.