bluuebunny/crossref_metadata_2025_split huggingface dataset:
Innovation of Chinese Culture External Communication Based on Multivariate Statistical Analysis
Authors: Fan Pengfei , Wang Beibei 
Published: January 2024

Abstract
With the development of economic globalization, the influence produced by cultural soft power has an irreplaceable role in the comprehensive strength of a country. In this paper, principal component analysis is used to classify the main factors affecting the effect of cultural communication, and factor analysis is combined to construct the effect dimensions of Chinese cultural communication. Pearson’s correlation is used to test the correlation between the effect of cultural communication and the four communication factors: degree of cultural satisfaction, degree of cultural cognition, development prospect and degree of publicity. From the perspective of social media information dissemination, a cultural communication model is constructed by combining social networks and used to analyze the effects of cultural communication. Combined with the effect of Chinese culture’s communication with the outside world, a communication path to optimize communication media to improve media influence rates is proposed. The results show that the correlation coefficient between the communication effect and the satisfaction degree factor is 0.348**, and the correlation with the publicity factor is 0.317**, of which the most relevant to the communication effect is the cultural cognition factor, with a correlation of 0.412**. The number of cultural communicators first shows an increasing trend and reaches the maximum value at the moment of t=7, then gradually decreases from the maximum value and finally decreases to 0 at t=15. The influence of cultural communication in the network increases as the media influence rate increases.
Optimized Development of Hohhot’s New Public Cultural Space Layout Construction Based on Genetic Algorithm under the Perspective of Urban Renewal
Authors: Zhang Juan 
Published: January 2024

Abstract
The rational layout and scientific configuration of public cultural space is an important criterion to measure the public service function of a city, whether it is perfect or not. In this paper, Hohhot Downtown is selected as the research object, and the spatial layout structure of the city is explored using the indicators of expansion intensity, compactness and fractal dimension. A layout optimization method based on a genetic algorithm is proposed to build a spatial layout model, set the spatial layout optimization constraints, complete the genetic algorithm optimization through the optimization coding process, and finally solve the Pareto optimization solution set by using the genetic algorithm of Matlab, which results in the optimization scheme of the new public cultural spatial layout of Hohhot City. The results show that six new public cultural space layout schemes of Hohhot are obtained after optimization, and the six layout scores are in the interval of [0.9, 1.0], all of which are excellent. Decision makers can choose the final layout scheme based on their actual situation and decision preferences.
Linkage Analysis of Business Administration and Organisational Effectiveness of Enterprises Applying the ARMA Model
Authors: Yin Xiong 
Published: January 2024

Abstract
In this paper, we first study the ARMA model and its derivative models, smooth the non-stationary time series by order difference, and estimate the coefficients of the ARMA model by the method of moment estimation. Then, hypothesis testing is conducted based on serial correlation of the relationship between corporate business administration and organizational effectiveness. In the process of hypothesis testing, the empirical likelihood method is used to test the serial correlation of the residual terms under weak hypotheses, which is then extended to apply to the test case where the residual terms contain finite and infinite variances. Finally, based on the model, we assessed the level of business administration and organizational effectiveness of Enterprise H, explored the correlation between the two, and analyzed the linkage effect between business administration and organizational effectiveness. The results show that there is a significant positive correlation between the dimensions of business administration and organizational effectiveness of enterprises, r=0.754-0.864, P<0.01. The correlation coefficients between the two fluctuate between 0.4 and 0.8 for a long period of time, with significant time-varying characteristics.
Design of industrial equipment data acquisition system based on ZYNQ
Authors: Zhang Xiaoping , Xing Qingqing , Yu Xichen , Pan Shili 
Published: January 2024

Abstract
In this paper, an industrial equipment data acquisition system based on a ZYNQ chip is constructed using an AD7607 data acquisition module containing a symmetric layout. Next, four modules of signal output, data writing, caching and communication are designed. Focusing on the design of the signal processing system after analog-to-digital conversion, the D-S evidence processing algorithm is utilized to judge the obtained data independently and fuse the data based on its D-S combination rule. Finally, the industrial equipment acquisition system design is tested, and the test includes system performance, accuracy, and stability. The frequency peaks obtained by the system in this paper are all 1000.000Hz, as shown by the results. The signal peak value of 95.18mV, the NI acquisition card signal peak value of 98.33mV, and the error is only 0.89%. The signal-to-noise ratio of the sampled signal is 50.12dB, and the effective number of bits reaches 10.40 bits. The performance of the system and the accuracy and stability of data acquisition on industrial equipment are verified.
Study on the Development Path of Cultural, Sports, Tourism and Education Integration in West Sichuan in the Context of High Quality Development of Regional Economy Supported by Big Data
Authors: Zhang Runtao 
Published: January 2024

Abstract
West Sichuan has long been affected by factors such as geographic location, transportation conditions, economic base and political and economic marginalization, resulting in a general lag in economic development. Based on the mechanism of coordinated development of culture-sports-tourism-education, this paper constructs the evaluation index system of coordinated development of the four systems. Using the TOPSIS entropy weight comprehensive evaluation method can measure the development index of each system of culture, sports, tourism and education in western Sichuan, and using the coupled coordination degree model GWR spatial analysis method, the spatial and temporal differentiation characteristics of the integrated and coordinated development of culture-sports-tourism-education in the four regions of western Sichuan, namely, Ya’an City, Aba Prefecture, Ganzi Prefecture, and Liangshan Prefecture, are studied. The results show that the education subsystem in western Sichuan has the largest increase from 0.258 in 2008 to 0.573 in 2022, indicating that western Sichuan has continued to strongly support education in recent years. However, it is also found that the region with the largest change is Aba Prefecture, with an increase of 0.287, and the smallest is only 0.112, which shows that there is a certain degree of variability in the development of the regions in western Sichuan. This study analyzes the development status and characteristics of the regions in western Sichuan, which is of guiding significance for the construction and development of these regions.
Exploring the Microteaching model of English courses in the digital era
Authors: Cao Hao 
Published: January 2024

Abstract
The application of microteaching in English teaching can not only create a good atmosphere for learning English but also deepen the change of teaching mode and promote English teaching to deep development. In this paper, the output-oriented model is combined with microclasses to establish a blended teaching model for English. For students’ online learning behavior, the K-means clustering algorithm is used to classify them, and the GBDT algorithm and integrated learning Stacking algorithm are combined to predict their performance. Taking the online learning behavior data under the blended teaching mode as an example, a practical analysis was carried out in three aspects: the classification of students’ English online learning behavior, the prediction of academic performance, and the satisfaction of the blended teaching mode. The results show that the number of clusters of English online learning behavior is 5, and the comprehensive score of cluster 1 reaches 91.52. When the progress of blended teaching in the English course developed from 10% to 100%, the accuracy of students’ learning performance prediction increased by 20.97 percentage points. Students’ satisfaction with the “output-oriented method + micro-teaching” blended teaching mode reached 86.34% with grade B and above. The blended teaching mode of combining microteaching and English courses in the digital era can improve students’ independent learning ability and enhance their English application ability.
Design and Implementation of Intelligent Fire Monitoring System Based on Multi-Sensor Data Fusion
Authors: Tu Defeng , Wang Enliang , Yu Yuting 
Published: January 2024

Abstract
To reduce the losses caused by fire, this paper proposes an intelligent fire monitoring system based on multi-sensor data fusion. Through the design of the temperature, smoke and flame sensors, based on the weighted least squares WLS and improved fuzzy support degree of similar sensors and dissimilar sensors data fusion, respectively, in the ZigBee wireless network based on the design of the fire remote monitoring and control alarm for monitoring, and add the local storage and emergency module. In addition, whether the router nodes work on the ZigBee wireless network during the fire test depends on multi-sensor data fusion. The test shows that the node communication distance is extended and can reach the acceptable requirements in the range of 70m, the highest probability of fire occurrence is 0.92, the lowest probability is 0.14, the overall probability of occurrence is in the range of 0.4 to 0.6, and the error between the predicted value of the probability of occurrence of the fire and the expected value is within ±0.05.
Intelligent scheduling and optimization of microenergy grid: the application and development of computer technology
Authors: Zhu Zinan 
Published: January 2024

Abstract
For the intelligent management of micro-energy grid, the limitations of traditional scheduling optimization methods have begun to be highlighted, and computer technology has become a new generation of power system support means. This paper proposes a state estimation method based on smart grid measurement technology, and for the characteristics of micro-energy grid anomaly data, adopts the sampling value detection anti-anomaly data method based on amplitude comparison to estimate the grid dynamic process. Based on the grid state estimation dataset, a smart grid scheduling strategy based on cloud computing is constructed. The conditional value-at-risk of the penalty function of generation cost, grid cost, and motion cost is used as the objective function of the dispatch modeling, and the solution method for the optimization of the value-at-risk model is provided. Finally, an example has been built for this dispatch model to access a simulated micro-energy grid system that contains multiple nodes. The results show that the error between the voltage amplitude obtained from the dynamic state estimation of the micro-energy grid using the method of sampled-value detection against anomalous data and the real value is no more than 0.5%, and the data scheduling error rate of the cloud computing does not fluctuate significantly when dealing with a large number of scheduling data tasks, all of which are controlled to be below 0.0015. The scheduling strategy based on cloud computing has a certain degree of generalization when dealing with random and variable source and load scenarios, which can effectively improve the level of power grid business applications and complete the corresponding intelligent scheduling.
Audience-oriented Aesthetic and Creative Research on Animated Films Based on Visual Communication Design
Authors: Yan Haian , Jiang Hao , Wang Jian , Wen Weimin 
Published: January 2024

Abstract
Animation movie conveys the connotation of animation to the audience through visual symbols, and the audience-oriented animation movie improves the aesthetic ability and diversifies the creative design. This paper starts with the analysis of visual communication design technology in animated films, analyzes the principle of visual communication design of animated images, and realizes the production of animated films by using multi-visual 3D animation modeling and texture rendering technology. The Sobel edge operator is introduced to optimize the image edge data of animated movies, so as to improve the image quality of animated movies. The development trend of visual communication design is discussed, and the aesthetic characteristics of visual communication design for animated films and the mutual influence between them are analyzed. In order to explore the aesthetic expression and creative design methods of animated films, quantitative analysis of data was conducted using current animated film works. The results show that the bit code rate in the full intra-frame coding mode of optimized production of animated images using visual communication technology is −1.87%, the highest quality factor is around 0.95, and the variation of smoothness is kept between 80% and 90%. Audience-oriented visual communication design of animated films should be based on the utility of information conveyance and rhythmic rhyme design and prompt the creative design of animated films through association, whimsy, metaphor, style and other ways.
Time Series Analysis of Landsat Images for Monitoring Flooded Areas in the Inner Niger Delta, Mali
Authors: Lemenkova Polina , Debeir Olivier 
Published: January 2024

Abstract
This paper presents an R-based approach to mapping dynamics of the flooded areas in the Inner Niger Delta (IND), Mali, using time series analysis of Landsat 8–9 satellite images. As the largest inland wetland in West Africa, the habitats of IND offers high potential for biodiversity of the flood-dependent eco systems. IND is one of the most productive areas in West Africa. Mapping flooded areas based on satellite images enables to provide strategies for land management and rice planting and modelling vegetation types of IND. Our approach is based on using libraries of R programming language for processing six Landsat images, and each image was taken on November from 2013 to 2022. By capturing spatial and temporal structures of the satellite images on 2013, 2015, 2018, 2020, 2021 and 2022, the remote sensing data are combined to yield estimates of landscape dynamics that is temporally coherent, while helping to analyse fluctuations of spatial extent in fluvial wetlands caused by the hydrological processes of seasonal flooding. Further, by allowing packages of R to support image processing, an approach to mapping vegetation by NDVI, SAVI and EVI indices and visualising changes in distribution of different land cover classes over time is realised. In this context, processing Earth observation data by advanced scripting tools of R language provides new insights into complex interlace of climate-hydrological processes and vegetation responses. Our study contributes to the sustainable management of natural resources and improving knowledge on the functioning of IND ecosystems in Mali, West Africa.
Evaluation of Triple-Frequency GPS/Galileo/Beidou Kinematic Precise Point Positioning Using Real-Time CNES Products for Maritime Applications
Authors: Abdelazeem Mohamed , Çelik Rahmi N. 
Published: January 2024

Abstract
Our research aims to evaluate the triple-frequency GPS/Galileo/BeiDou kinematic precise point positioning (PPP) accuracy for the international maritime organization (IMO) positioning accuracy and integrity requirements. The real-time Centre National d’Etudes Spatiales (CNES) satellite orbit and clock products are used to simulate real-time scenarios. GPS/Galileo/BeiDou observations are collected from a moving vessel. Both dual-frequency and triple-frequency ionosphere-free PPP models are developed. Different satellite system combinations are used, including GPS-only, GPS/Galileo, GPS/BeiDou, and GPS/Galileo/BeiDou. The GPS-only differential solution is used as a reference. It is found that both dual- and triple-frequency kinematic PPP solutions achieve the IMO accuracy requirements at 95% confidence level for ocean, coastal, port approach, port, inland waterways, and track control navigation applications, except the automatic docking application. Moreover, the PPP solutions fulfilled the IMO integrity requirements for all navigation phase applications, but the GPS and GPS/BeiDou PPP solutions did not fulfill the automatic docking integrity requirement.
ESMGFZ EAM Products for EOP Prediction: Toward the Quantification of Time Variable EAM Forecast Errors
Authors: Dill Robert , Dobslaw Henryk , Thomas Maik 
Published: January 2024

AbstractSince more than 10 years, the Earth system modeling group at GFZ (ESMGFZ) provides effective angular momentum (EAM) functions for Earth orientation parameter assessment on a routinely daily basis. In addition to EAM of the individual Earth’s subsystems atmosphere, ocean, and hydrology, the global mass balance is calculated as barystatic sea level variation by solving explicitly the sea-level equation. ESMGFZ provides also 6-day forecasts for all of these EAM products. EAM forecasts are naturally degraded by forecast errors that typically grow with increasing forecast length, but they also show recurring patterns with occasionally higher errors at very short forecast horizons. To characterize such errors which are not randomly distributed in time, we divided the errors into a systematic and a stochastic contribution. In an earlier study, we were able to detect and remove the large systematic fraction occurring in the atmospheric angular momentum (AAM) wind term forecast errors with a cascading forward neural network model, thereby reducing the total forecast error by about 50%. In contrast, we were not able to remove the random error component assed in this study. Nevertheless, we show that machine learning methods are able to predict quasi-daily variations in time variable EAM forecasts error levels. We plan to provide these forecast error estimates along with the deterministic EAM forecast products for subsequent use in, for example, EOP Kalman filter prediction schemes.
FAM210A: Implications in mitochondrial dynamics and metabolic health
Authors: Lou Han , Xu Henghui , Zhang Yong 
Published: January 2024

Abstract
Brown adipose tissue (BAT), crucial for mammalian thermoregulation and energy metabolism, boasts a dense concentration of mitochondria. As a vital cellular organelle, mitochondria undergo substantial remodeling in cold environments, playing a pivotal role in maintaining body temperature and energy balance[1]. Mitochondrial dynamics, particularly mitochondrial cristae remodeling, are key processes governing BAT functionality. A recent study by Qiu et al. unveils groundbreaking insights, highlighting the significance of FAM210A (family with sequence similarity 210 member A) in orchestrating cold-induced mitochondrial remodeling in brown adipocytes. This research sheds light on the molecular mechanisms underpinning mitochondrial adaptability in cold environments[2]. Central to these discoveries is the protein FAM210A, recognized as a critical regulator of mitochondrial cristae remodeling in BAT. This revelation introduces new perspectives on metabolic regulation and thermogenic adaptation. This editorial aims to dissect these findings, extrapolating their broader implications for understanding metabolic health. Additionally, it explores potential therapeutic targets and discusses future directions in mitochondrial research.
Prostate cryoablation: A mini review
Authors: Zheng Xia , Chen Lihui , Lai Kaiting , Li Zhiyong 
Published: January 2024

Abstract
In recent years, cryotherapy has gained increasing acceptance as a treatment for prostate cancer, offering complementary therapeutic benefits when combined with radical surgery and radiotherapy. Despite the potential for surgical complications, it stands as a safe and viable therapeutic modality. Cryotherapy provides an efficient approach for elderly patients, especially those with compromised physical conditions and individuals experiencing recurrence after initial treatment. It has shown promise in extending survival periods and improving the overall quality of life for these patients. This article aims to comprehensively examine the developmental trajectory, surgical techniques, indications, therapeutic outcomes, and potential complications associated within prostate cancer treatment.
Análisis Cualitativo Del Autoconcepto De Mujer Desde La Sexualidad Femenina
Authors: Cruz Meza Julissa Fernanda 
Published: January 2024

Hablar de la mujer resulta complejo, puesto que se ha venido escribiendo de ella y sobre ella durante mucho tiempo. En este sentido, vemos como una mujer es representante de un rol que le ha sido asignado en su cultura y los significantes que la atraviesan, incluso desde antes de nacer; estos roles varían de acuerdo al tiempo y espacio en el que se inserta, y será influida por el medio y su propia historia para que construya en su haber un concepto de sí, por esa razón es fundamental conocer en cada mujer su historia y discurso que enmarcan la subjetividad que la constituyen.
VIOLENCIA, ENTRE PERVERSIÓN SOCIAL Y SUBJETIVIDAD
Authors: Juan Capetillo América Espinosa, Ricardo García, 
Published: January 2024

Este trabajo toma al psicoanálisis freudo/lacaniano como referente central; sin embargo, es necesario contextualizar la posición epistemológica de base, misma que refiere al lenguaje como condición fundamental desde dónde se constituye el sujeto; esto es, el sujeto como producción discursiva y en consecuencia social.
Paraísos artificiales ante una sociedad rota
Authors: Espinoza Román Juan Manuel 
Published: January 2024

Los brillos de las sustancias psicotrópicas han existido en la humanidad desde tiempos remotos. Fungieron como catapultas psiconáuticas; las drogas han sido usadas en historias sin tiempo: como apuesta infernal ante las imposibilidades de alcanzar los matices de lo divino; para trastocar las opacidades del infinito; también como encuentro descomunal con las fuerzas de la naturaleza, venidas del manto terrestre o de la bóveda celeste; últimamente usadas como desencuentro radical del lazo social y las fuerzas vitales que lo acompañan.
La clínica de Françoise Dolto, contextos de implicación biográfica.
Authors: Moriñigo Hernández Belén 
Published: January 2024

A Francoise Dolto podemos considerarla una psicoanalista que ha dejando un gran legado de experiencias en la clínica psicoanalítica con niños y adolescentes que nos resultan de una gran fascinación en virtud de los saberes que sostienen su trabajo. Si bien emergen estos saberes, de su formación y reflexión teórica, se vinculan con una gran maestría a su intuición femenina y maternal que hacen de su clínica una versión sui géneris del psicoanálisis.
LACAN: ¿ESQUIZOFRENIZAR EL PSICOANÁLISIS? ESBOZO DE UNA CONCEPCIÓN TRANSESTRUCTURAL DEL SUICIDIO
Authors: J. Betancourt Raúl 
Published: January 2024

El presente escrito parte de la pregunta por el alcance de las tres estructuras clínicas en psicoanálisis para pensar una experiencia asaz singular como lo es el suicidio. Se trata de delinear una concepción del suicidio que no se adhiera al afán de clasificación psicopatológica y revisar si acaso este no permanece latente en la tríada estructural psicoanalítica. Se retomará la crítica de Deleuze y Guattari a la captura edípica del deseo y la mortología de Herman Burger con miras a una concepción crítica y transestructural del suicidio.