bluuebunny/crossref_metadata_2025 huggingface dataset:
Identifying families of multipartite states with non-trivial local entanglement transformations
Authors: Li Nicky Kai Hong , Spee Cornelia , Hebenstreit Martin , de Vicente Julio I. , Kraus Barbara
Published: February 2024

The study of state transformations by spatially separated parties with local operations assisted by classical communication (LOCC) plays a crucial role in entanglement theory and its applications in quantum information processing. Transformations of this type among pure bipartite states were characterized long ago and have a revealing theoretical structure. However, it turns out that generic fully entangled pure multipartite states cannot be obtained from nor transformed to any inequivalent fully entangled state under LOCC. States with this property are referred to as isolated. Nevertheless, multipartite states are classified into families, the so-called SLOCC classes, which possess very different properties. Thus, the above result does not forbid the existence of particular SLOCC classes that are free of isolation, and therefore, display a rich structure regarding LOCC convertibility. In fact, it is known that the celebrated n-qubit GHZ and W states give particular examples of such classes and in this work, we investigate this question in general. One of our main results is to show that the SLOCC class of the 3-qutrit totally antisymmetric state is isolation-free as well. Actually, all states in this class can be converted to inequivalent states by LOCC protocols with just one round of classical communication (as in the GHZ and W cases). Thus, we consider next whether there are other classes with this property and we find a large set of negative answers. Indeed, we prove weak isolation (i.e., states that cannot be obtained with finite-round LOCC nor transformed by one-round LOCC) for very general classes, including all SLOCC families with compact stabilizers and many with non-compact stabilizers, such as the classes corresponding to the n-qunit totally antisymmetric states for n≥4. Finally, given the pleasant feature found in the family corresponding to the 3-qutrit totally antisymmetric state, we explore in more detail the structure induced by LOCC and the entanglement properties within this class.
The existence of tourist visits in samboja, indonesia: a prediction
Authors: Maria Siti , Lestari Dirga , Darma Dio Caisar
Published: February 2024

In the last few decades, tourism communities have continued to improve to develop destination attributes. The interest of tourists is certainly a reference that contains hope and reality after they visit a destination. Samboja is one area that has the most tourist destinations, both at the level of Kutai Kartanegara Regency and East Kalimantan Province (Indonesia). However, their natural destinations as beaches are not yet a priority for the local community, so their income from their development is still minimal. Through a semi-structured survey approach to 185 respondents (visitors) in four predetermined destinations, we dig deeper into the extent of the predictions of the existence of tourist visits (ETV) with several influencing variables. Regression estimates prove that tourist income, travel costs, and travel time have had a significant impact on ETV. From a similar test, the cost of travel to other attractions and facilities actually has an insignificant effect on ETV. The empirical evidence from this study is likely to be the right policy and can be applied by the tourism development community there.
K-pop music: the influence of pop-culture involvement and destination image on travel intention to south korea
Authors: Putong Paulina Elizabeth , Dermawan Stefany , Thio Sienny
Published: February 2024

This study implements the concept of pop-culture involvement, specifically K-Pop music. Pop-culture involvement is classified into two categories, situational involvement, and enduring involvement. This study aims to investigate the involvement of pop-culture in shaping a destination image that will influence the intention to travel. A quantitative study by distributing questionnaires was performed on 135 Indonesian citizens aged 17 and above. The Partial Least Square (PLS) method was employed to process the data acquired. The result indicates that situational involvement has a significant influence in forming enduring involvement. Situational involvement also influences the destination image, yet enduring involvement has no effect on destination image. In addition, the result also shows that destination image does significantly affect travel intention. This study has provided a preliminary investigation on pop-culture involvement of K-Pop music. It is expected to be insights for further research specifically in the context of K-Pop music and tourism.
Exploring travel for work-life balance: a study on solo woman travellers in bali
Authors: Wiwiek Agustina Ni Ketut , Julio I Kadek Nora , Argapura Kadek Kresna
Published: February 2024

With the importance of balance in life, the phenomenon of work-life balance is very engaging to be associated with travelling activities, especially solo travel, which became popular during the COVID-19 pandemic as a new trend that emerged. This research aims to analyse the phenomenon of travelling for work-life balance, whether it can be a trend or lifestyle, using an exploratory study approach that focuses on solo women travellers in Bali, especially those from Denpasar City and Badung Regency. Qualitative descriptive methods were used in this study, with data collection techniques through literature studies, observations, and comprehensive interviews of 13 informants consisting of 10 primary informants, 2 key informants, and 1 supporting informant. The selection of informants is carried out using purposive sampling techniques with the Pentahelix approach. With the selection of the primary informant criteria, namely, solo woman travellers in Bali aged 18-26 years, and the criteria of key informants and supporters are academics that have insights into the field of travel, especially in women travellers. The results showed that travelling activities have a strong and significant influence in building new behaviour patterns towards women travellers in Bali in doing solo travelling activities to achieve work-life balance.  The need for healing activities for their lives and performance become a motivation and desire that every solo woman traveller in Bali wants to realise. Travelling for work-life balance plays a vital role in achieving productivity and can be a workable lifestyle.
Pandemic Covid-19 Resilience In Improving Coffee Business Marketing in Local Coffee Bali as Tourism Product
Authors: Suarjaya I Nyoman , Wisnawa I Made Bayu
Published: February 2024

The Covid-19 virus is increasingly spreading in Indonesia, several policies set by the Government in Indonesia have had an impact on several sectors in Indonesia, one of which is the economic sector. This study aims to analyze the internal and external factors that affect Local Coffee Bali as tourism product and marketing strategies that can be applied by the management of Local Coffee Bali after facing the Covid-19 pandemic. The research methodology used is descriptive qualitative to analyze data by the influence of the business environment both internally and externally. The results of this study indicate that from the analysis of the internal environment using the SW matrix, the most influential strength (Strengths) is product quality and the most influential weakness (Weaknesses) factor is increasing promotional activities. While the external environment results through the OT matrix, the most influential opportunities are adding product variant innovations and the most influential Threats is increasing a comfortable and shady dine-in place. While the results of the SWOT matrix analysis through four alternative strategies can be found marketing strategies that can be applied by the management of Local Coffee Bali after facing the Covid-19 pandemic for tourism products are adding product variant innovations, improving product quality according to market prices, increasing promotional activities, increasing places to shop, cozy and shady dine-in.
A Machine-Learning-Based Approach for Tourist-Arrival Trend Prediction
Authors: Putra I Putu Edy Suardiyana , Lestari Denok , Tunjungsari Komang Ratih
Published: February 2024

This study proposes a machine-learning-based technique to predict trend in tourist arrivals based on online news headlines and the number of previous tourist arrivals. Tourist arrivals prediction is important to give information to destinations’ local governments and businesses to prepare their services. We use Logistic Regression and Support Vector Machine to create a model to predict the increase in tourist arrivals monthly. News headlines from three online Indonesian news portals are used. A total of 47,298 online news headlines were collected. The results show that Logistic Regression can achieve up to 67.4% of F-score while Support Vector Machine can achieve up to 62.9% of F-score. These results show that adding online news headlines and machine-learning algorithms can give significantly better results in predicting tourist arrivals.
Intuition Talk and Reasoning Markers: A Corpus-Study from the Philosophy of Language
Authors: Bordonaba Plou David
Published: February 2024

Cappelen (2012) argues against the Thesis of Centrality, that is, against the idea that analytic philosophers rely on intuitions as evidential support for their theories. Cappelen challenges this notion by targeting the “Argument from ‘Intuition’-Talk”, i.e., the idea that intuitions must play a decisive role in the arguments of analytic philosophers because they use intuition talk profusely. This paper empirically examines this claim by assessing the prevalence of intuition talk in critical parts of the arguments. Specifically, it explores whether intuition talk coincides with reasoning markers signifying premises and conclusions. To accomplish this, I will first compile a corpus of articles on taste disagreements. Then, I will conduct two types of analysis: a frequency list analysis, and an analysis of the dispersion of both types of vocabulary along the corpus.
An Ecosystem Approach to Balanced Territorial Development
Authors: Gamidullaeva L. A. , Grosheva E. S.
Published: February 2024

Relevance. The problems of sustainable development of rural areas are extremely relevant nowadays, especially in the context of deepening localization and the increasing role of territorial and natural resources. research objective. The purpose of the article is to develop theoretical and methodological aspects of sustainable development of territories, encompassing rural areas with small urban settlements, based on the ecosystem approach to form a unified multi-level strategy for the development thereof. Method and data. The paper substantiates an application of the ecosystem approach to the development of rural areas in increasing the efficiency of rural businesses, budgetary spending through prioritization of state support recipients, stimulating sustainable development of enterprises and the industry, and increasing the consistency of regional economic policy. The conceptual foundations of this approach are presented, and an algorithm to select participants in a rural ecosystem is proposed. results. The proposed approach allows operationalizing self-organization processes in an ecosystem, ensuring a balance of interaction processes of its participants. The research results have contributed to solving the problem of territorial socio-economic ecosystem formation by proposing an algorithm to select target indicators for achieving sustainable development goals, taking into account the specifics and development trends of territories. Conclusions. The conclusions arising from the conducted research provide scientists, government bodies with the necessary information for a better understanding of practical mechanisms to provide balanced territorial development, ensure the move from fragmentary unsystematic measures of state support to effective differentiated and targeted regional policy of rural areas.
Territorial Accessibility of Regional Systems of Secondary Vocational Education
Authors: Lomteva E. V. , Bedareva L. Yu.
Published: February 2024

The article discusses the development of the infrastructure of regional systems of secondary vocational education, as well as the territorial accessibility of professional educational organizations (VET) for young people. As part of the study, the authors consider compliance with state guarantees for the implementation of the right of young people to vocational education in terms of providing budgetary places in educational organizations of the open-ended educational system and places in hostels, as well as the permissible value of the specific gravity of the number of buildings of state public educational institutions adapted for training people with disabilities and disabled people. The basis for the study was the Spatial Development Strategy of the Russian Federation for the period until 2025, approved by order of the Government of the Russian Federation of February 13, 2019 N 207-r and the Development Strategy for the system of training workers and the formation of applied qualifications in the Russian Federation for the period until 2030. As a result of the study, the authors identified regions at risk for the availability of secondary vocational education. Calculations were carried out taking into account the demographic forecast and migration of young people. The article was written on the basis of the RANEPA state assignment research programme.
Digital Branding As a Tool of Public Diplomacy of the DACH Group of Countries
Authors: Voronkov V. V.
Published: February 2024

This article consists of discourse analysis and application of digital technologies in public diplomacy. The phenomenon of territory branding, its connection with public diplomacy in international relations, and how this practice was implemented by the largest German-speaking countries: the Federal Republic of Germany, the Republic of Austria and the Swiss Confederation are explored. Methodologically, scientific literature, mass media and materials of government organizations are used to analyze how certain subjects can use branding technologies. In conclusion, it is concluded that, although digital branding cannot solve problems by itself, it undoubtedly has an impact on interaction with foreign users, to a greater or lesser extent within the framework of public diplomacy.
Entrevista com Ana Paula Cruz: O quilombo é uma sapiência, uma sabedoria: caminho necessário para a criação de novas epistemologias
Authors: Souza Edinelia Maria Oliveira
Published: February 2024

Entrevista com a intelectual e quilombola Ana Paula Cruz.
Evaluating CHASER V4.0 global formaldehyde (HCHO) simulations using satellite, aircraft, and ground-based remote sensing observations
Authors: Hoque Hossain Mohammed Syedul , Sudo Kengo , Irie Hitoshi , He Yanfeng , Khan Md Firoz
Published: February 2024

Abstract content goes here
Menstrual Problems: Menorrhagia and Primary Dysmenorrhagia
Authors: R Haider
Published: February 2024

Menstrual problems can considerably affect a girl’s status in life, accompanied by two universal issues: menorrhagia and basic dysmenorrhea. Menorrhagia, characterized by difficult menstrual draining, is a condition in which a woman experiences extended periods or excessive blood flow. This condition may incapacitate you, leading to blood deficiency, fatigue, and public restraints. The underlying causes of menorrhagia can change, including hormonal imbalances, uterine Fibroids, or added medical environments, which typically include a particularized record of what happened and a physical examination attended by potential situations such as cure, hormonal therapy, or surgical attack. Primary dysmenorrhea, in another way, refers to harsh menstrual cramps without some fundamental healing condition. It is a common issue among daughters and usually occurs during the first few days of the period. The exact cause of basic dysmenorrhea is not well understood; however, it is expected to be associated with prostaglandin production and uterine shortening. Women with primary dysmenorrhea grant permission for sharp, incapacitating pain, nausea, and additional discomfort, which upset their regular lives. Management options include pain relievers, hormonal contraceptives, behavioral changes, and heat therapy.
Performance of Small and Medium Enterprises in Indonesia Impacted by Financial Accessibility
Authors: Rusliana Nanang , Alisjahbana Armida Salsiah , Budiono Budiono , Purnagunawan Raden Muhamad
Published: February 2024

The goals of this study are to examine and analyze the financial accessibility of SMEs in Indonesia, to examine the impact of financial constraints on SMEs’ performance there, and to determine how SMEs’ performance in Indonesia is impacted by their involvement in the financial market. This analysis makes use of panel data from the 2009 and 2015 waves of the World Bank Enterprise Survey (ESWB). Quantitative analysis with panel data regression models utilizing the Fixed Effect Model (FEM) or Random Effect Model (REM) and Hausman test constitute the analytical framework for this study. Stata Software is used for all computations and estimation related to the model and its tests. The results show that financial accessibility has a greater influence on sales growth compared to labor growth in medium-sized businesses, while in small businesses financial accessibility has a smaller effect on sales growth compared to labor growth. The number of small companies that are not financially constrained is more than the number of companies participating in the financial market. And participation in the financial market has an influence on business performance, both in terms of sales growth and workforce growth.
The Role of Human Capital and Regional Effects on Earnings: Multilevel Mixed Effect Regression Approach
Authors: Rachmadani Aisya Amalia , Mulyaningsih Tri , Ertimi Basem
Published: February 2024

Indonesia has an abundant labor supply, so examining the determinants of earnings that reflect labor productivity is essential. This study is keen to estimate the effect of human capital, demographic factors, and regional (Regency/City) effects on workers' earnings in the Province of Central Java in 2022. The data is collected from the National Labor Force Survey (Sakernas). The multilevel mixed-effect regression is employed to assess the effect of individual characteristics and district-level variation on earnings. The study found that human capital, demographic factors, and regional (Regency/City) effects significantly affect earnings. Education and training are essential to improve workers’ skills, leading to higher performance. Further, regional characteristics have contributed to explaining earnings variation across workers in Central Java.
THE INFLUENCE OF THE INTERNAL CONTROL SYSTEM AND INDIVIDUAL MORALITY ON FRAUD IN VILLAGE FUND MANAGEMENT
Authors: Sarmigi Elex , Surya Tiara Lilis , Maryanto Maryanto , Salsabela Ica
Published: February 2024

This study aims to determine the effect of the internal control system and individual morality on the tendency to fraud in managing village funds in the Kumun Debai sub-district, Sungai Full City. The sample of this study was all employees of the village government head office of Kumun Debai Sub-District, Sungai Full City, totalling 72 people, who were determined by the full sampling method. Testing the research data was analyzed with multiple linear regression. This study found that the internal control system had a negative and significant effect on the tendency to fraud in managing village funds. Meanwhile, individual morality has no significant effect on the tendency of fraud in managing village funds. The magnitude of the influence of the internal control system and individual morality on the tendency of fraud in managing village funds is 40.5%.
ASSESSING THE INFLUENCE OF THE ISLAMIC FINANCIAL SYSTEM ON INDONESIA'S ECONOMIC GROWTH IN THE LONG AND SHORT RUN FROM 2011 TO 2022
Authors: Kamarni Neng , Andrianus Fery , Dhoifullah Aisyah
Published: February 2024

This study aims to see the performance of the Islamic financial system on Indonesia's economic growth in the long and short run from 2011 to 2022. The research method uses the Autoregressive Distributed Lag (ARDL) analysis method. The data used in this study are secondary. Secondary data is a source of data that is not directly obtained from objects through interviews. Secondary data can be obtained from other organizations or individuals such as census data collected. Data from the Indonesian Central Bureau of Statistics (BPS) and the Financial Services Authority (OJK). This study uses economic growth as the dependent variable and the Indonesian Sharia Stock Index and Islamic banking financing as independent variables. The research provides results that the performance of Islamic banking financing and the Indonesian Sharia Stock Index provides positive and significant results on economic growth. Based on the results of this study, it is hoped that the government will further strengthen policies that focus on the development of Islamic finance in Indonesia because improving the performance of the Islamic financial system can improve and encourage economic growth in Indonesia.
EVOLUCIÓN Y RECUPERACIÓN DE PASTURAS PARA OPTIMIZAR LOS RENDIMIENTOS NUTRICIONALES DE LOS SEMOVIENTES INTERPRETANDO LOS ÍNDICES DE VEGETACIÓN NORMALIZADA USANDO LEVANTAMIENTOS MULTIESPECTRALES
Authors: Gualdrón Guerrero Luis Daniel , Gualdrón Guerrero Oscar Eduardo , Maestre Delgado Marisol
Published: February 2024

La agricultura de precisión ha experimentado avances significativos mediante el aprovechamiento de tecnologías como el uso de drones y la captura de imágenes espectrales. La aplicación del índice NDVI (Normalized Difference Vegetation Index) se ha convertido en una herramienta clave para la identificación de coberturas vegetales, permitiendo analizar la salud de los cultivos con gran precisión y la estimación del área ocupada según la densidad de biomasa.  La combinación de estas tecnologías facilita la generación de tasas de crecimiento diario de la vegetación, lo que resulta fundamental para proyectar la recuperación de pasturas. En este trabajo, el NDVI se empleó para evaluar la salud y prever la necesidad de ajustes en la gestión y manejo de la pradera y los requerimientos del pasto kikuyo, Las proyecciones basadas en estos datos ofrecen una herramienta valiosa para la toma de decisiones, asegurando que las estrategias de recuperación de pasturas sean adecuadas y efectivas a medida que se optimizan los rendimientos para la nutrición de semovientes. El presente artículo se enfoca en el seguimiento de la evolución de la pastura de kikuyo, específicamente en un predio del municipio de Pamplona, Norte de Santander, la ventana de tiempo para el desarrollo del seguimiento se determinó en cuatro meses, en los cuales se efectuó un levantamiento multiespectral por mes, con la información obtenida se determinaron tasas de crecimiento diario y la proyección de los días para el restablecimiento del pasto, concluyendo que los tiempos de reposo de las praderas para un adecuado manejo es inversamente proporcional a la cantidad de área cubierta con material vegetal en óptima condiciones al inicio del restablecimiento de la pradera.
Las nuevas cronistas latinoamericanas. La violencia contra las mujeres en el periodismo narrativo contemporáneo
Authors: Angulo Egea María
Published: February 2024

Este artículo muestra la amplia nómina de mujeres cronistas latinoamericanas contemporáneas que, pese a su numerosa presencia y a su gran calidad periodística, han sido invisibilizadas, infravaloradas y/o tratadas como excepcionalidades dentro del periodismo narrativo. El estudio se centra en el análisis de algunos de los trabajos publicados en pleno siglo XXI realizados por cronistas nacidas a partir de los años 80 en países latinoamericanos. En particular, se analiza el tratamiento de la violencia contra las mujeres como tema crucial y estructurador de la crónica contemporánea.
Application of artificial intelligence to personalize user content in the company’s marketing offers
Authors: Shendrik V. V.
Published: February 2024

The growing interest of business in the use of artificial intelligence is determined by the enormous optimization, analytical, predictive and generative capabilities. A pressing issue in these conditions is determining the features of the use of artificial intelligence in specific tasks, operations and business processes of the company. The article reveals aspects of the use of artificial intelligence to personalize user content in the company’s marketing offers. An analysis of modern research on personalization and the use of artificial intelligence tools in marketing is carried out. A list of areas, tools and operations necessary to personalize a company’s marketing based on artificial intelligence is identified. Based on the results of the study, a list of tasks in the company’s marketing is provided that can be solved by modern artificial intelligence tools.
Réplica social frente al sismo del 19 de septiembre de 2017 en Morelos, México
Authors: Flores Reséndiz Rodrigo , Montes Mata Giovanni Marlon , Monroy-Ortiz Rafael
Published: February 2024

El sismo del 19 de septiembre de 2017 tuvo importantes efectos económicos y sociales en Morelos, México, particularmente en la población vulnerable. En este trabajo se visibiliza la dificultad del Estado para prever y mitigar los efectos del sismo en dicho sector, con base en tres categorías: insumos de resiliencia, continuum de vulnerabilidad y continuum de búsqueda resiliente, las cuales describen la falta de apoyo estatal, la inestabilidad de los asentamientos y el correspondiente ajuste ante crisis emergentes, respectivamente. Para hacer un uso instrumental de dichas categorías, se revisan las políticas de mitigación y se caracteriza el funcionamiento del centro de acopio universitario de la Universidad Autónoma de Morelos.
¿Cuáles son los contextos que favorecen el uso del condón en adolescentes?
Authors: Suárez-López Leticia , Menkes Bancet Catherine
Published: February 2024

El objetivo de este trabajo es identificar los aspectos del entorno (individual, de la pareja y social) relacionados con el uso del condón masculino en hombres y mujeres adolescentes de 14 a 19 años. Utilizando una encuesta efectuada a estudiantes con representatividad en tres entidades federativas, así como el modelo ecológico modificado, se examinan las características asociadas con su utilización en la última relación sexual en cada sexo. Para el análisis se utilizaron modelos de regresión logística, tomando en cuenta el diseño de muestras complejas. Los principales resultados muestran diferencias de género en la utilización del condón, que involucran, además de aspectos individuales, la interacción que se establece con la pareja sexual, el balance de poder entre sexos y las normas sociales. Los hallazgos cuestionan el tradicional abordaje de las políticas públicas que simplifican la utilización del preservativo como una elección individual y no como una práctica socialmente condicionada.
Reescrituras míticas y el giro de ficción en traducción: Achilles, de Elizabeth Cook
Authors: Nisa Cáceres Daniel
Published: February 2024

Este artículo explora la novela Achilles (2001), de Elizabeth Cook. El objetivo es abordar analíticamente el llamado giro de ficción o novelesco contra el telón de fondo de la ardua tarea de deslindar las fluidas categorías que conforman el acto traslativo y las reescrituras contemporáneas de autoría femenina de la tradición clásica. Con ese fin, se explora críticamente cómo Cook interroga actitudes tradicionalmente androcéntricas hacia la épica homérica y cómo estas quedan vertidas en la traducción de la novela al español en 2003. Si bien Cook construye su compleja transversalidad retórica entre la traducción y la ficcionalidad sobre un dialogismo intratextual e intertextual, también lo hace sobre múltiples tropos traslativos y de transición liminal, entre ellos el travestismo de Aquiles. La remozada narrativa homérica resultante sintetiza así una teorización traductológica y la integra en una ficción de respuesta abierta.
traducción institucional. Género o contexto profesional
Authors: Moral-Sánchez Maria Aurora
Published: February 2024

La traducción institucional ha sido y es tema de diversos artículos nacionales e internacionales. Se ha discutido mucho acerca de si la traducción institucional puede ser considerada un género de especialidad, al igual que la traducción jurídica o la traducción científico-técnica o, si simplemente es producto de un mero contexto profesional que emana de las instituciones. El análisis terminológico de las directivas europeas y el marco teórico que lo sustenta es el objeto del presente artículo. Los resultados obtenidos dan cuenta del carácter híbrido de este tipo de textos, en los que, a pesar de ser textos de carácter jurídico, los términos encontrados pertenecen a otros campos de uso.
The Application of Multimodal Teaching Model Based on VAR Model in English Teaching in Colleges and Universities
Authors: Li Panpan
Published: February 2024

In this paper, a multimodal teaching model based on vector autoregressive (VAR) model is constructed for English teaching in colleges and universities, and the model is optimized and improved. The VAR model can predict the potential future paths of the specified variables in the model, and thus measure the long-term equilibrium relationship of multiple variables in English teaching in colleges and universities. This model was empirically studied in the multimodal teaching of four listening, speaking, reading and writing aspects. The results of the study show that the students in the experimental group significantly improved their performance in the listening test, in which the average scores of Groups A, B, and C were 18.49, 20.265, and 21.99, respectively, with a p-value of 0.000, which is lower than the 0.05 level of significance. Most of the students think that the multimodal English film and video clip teaching mode helps improve English thinking ability and fluency of oral expression. Regarding reading comprehension, the average score of the experimental class reaches 20.89 while the control class is 16.8, with a p-value of 0.001, indicating that the practical class is significantly better than the control class. Regarding writing instruction, most students also preferred multimodal instruction and recognized its positive effects. The application of multimodal teaching mode based on VAR model in English teaching in colleges and universities is practical and can significantly improve students’ listening, speaking, reading and writing abilities.
Exploring the Online Platform Construction of English Movie Audiovisual Speaking Blended Teaching Mode Based on POA Theory of Production-Oriented Approach
Authors: Li Shuhui , Zhu Yanli
Published: February 2024

This article is concerned with improving college students’ English audiovisual speaking ability in the context of the development of the times. Based on the SPOC (Small Private Online Course) teaching platform and the POA (Production-Oriented Approach) theory, the article constructs a blended teaching mode of English movie audiovisual speaking course. This model extracts English movie audiovisual features through the multimodal fusion of audiovisual correlation perception and audiovisual recognition. The article adopts CRNN (Convolutional Recurrent Neural Network) model and 3D convolutional structure to build a multimodal audiovisual speech recognition model for English movies. The differences between blended and traditional teaching are analyzed and the effects of integrated teaching are explored through a study of South China Agricultural University students. The study results show that the combined teaching is 0.699 points higher than the traditional teaching method in the average normalized gain score, and the audiovisual speaking ability of the students in the experimental class has improved by 76.04%. The blended teaching of English movie audiovisual speaking based on SPOC platform can effectively enhance students’ audiovisual speaking ability, thus promoting students’ cross-cultural communication ability.
Exploration of blended teaching and learning of Introduction to Nursing by integrating curricular politics in the Internet era
Authors: Liu Wei
Published: February 2024

The article improves the algorithm’s efficiency by constructing a pattern of interest level sequences and a method of calculating the support value using sequences through the knowledge of nursing. The study utilizes the leverage rate to filter valuable data and improves the leverage rate for sequence length, while introducing pruning strategies. The article proposes a TPKCEE teaching model of Civics integration into Introduction to Nursing and analyzes its practical effects. The study results showed that after the education of Civics Integration, the mean value of professional identity of most students in the studied nursing classes was more than 60 points. In the analysis of interest preference, students showed significant interest in “Concepts of Nursing”, especially in the knowledge points related to “Outlook on Life” in the Civics teaching. The TPKCEE blended teaching strategy effectively realizes the integration of Civics and Introduction to Nursing, and helps enhance medical students’ humanities. The TPKCEE blended teaching strategy effectively recognizes the integration of Civics and Introduction to Nursing courses, and helps to improve the humanistic quality of medical students. It provides practical guidance and methods for medical schools to educate in integrating medical technology and humanities, which is of great significance to enhance the comprehensive quality of medical students.
Exploring the Application of Computer Visual Arts in the Context of Digital Media
Authors: Liu Zhiming
Published: February 2024

This paper provides an in-depth discussion on the critical technologies of computer visual arts in digital media, mainly focusing on virtual character modeling and human body tracking technologies. The study merges the models into the same coordinate system by combining point cloud data from different angles and calculating the transformation matrix. Accurate 3D human body models were reconstructed using point cloud alignment and fusion techniques. A particle filtering method combined color, motion and shape information for effective tracking. The experimental results show that the success rate of hand tracking reaches 95.35% in the case of no background interference, while the success rate is 90.97% in the environment with background interference. In addition, the study shows that low resolution images (584×388) outperform high resolution (968×676) in terms of tracking accuracy and speed. The study confirms that the combination of advanced computer vision techniques can effectively construct and follow virtual character models and realize high-precision human motion capture under different environmental conditions.
A Logical Rationale for Sports Tourism to Help Rural Revitalization under Integrated Transfer Learning Strategy
Authors: Liu Chen , Yang Ning
Published: February 2024

As an emerging driving force to promote rural revitalization, sports tourism provides tourists with rich experiences and effectively promotes the development of local sports industry and economy. In this study, an integrated transfer learning model is constructed to assess the development level of rural revitalization by combining a constrained LightGBM-based learner, a Gaussian distribution and an optimized sampling function. Applying this model, this paper calculates the integrated development index of rural revitalization for 21 provinces, municipalities and autonomous regions in China between 2019 and 2023. Particularly for Tianjin, the study finds that its comprehensive development index for rural revitalization is relatively low, only 0.244 in 2023. Analyzing the cases of six typical villages in Tianjin, the study finds that sports tourism significantly impacts rural revitalization. During the five years, the average annual growth of tourist arrivals amounted to 125,400 visitors, and the average tourism revenue in 2023 reached 9.686 billion yuan. Meanwhile, these villages had an average of 3.79 points in the development level of living affluence, which is a high level. The study provides empirical support for sports tourism to help rural revitalization. It provides practical references for the future development direction and planning of rural sports tourism, emphasizing the critical role of sports tourism in promoting the comprehensive development of villages.
Teaching Core Literacy in College Physical Education and Health Courses Based on Multiple Data Integration
Authors: Yu Qi
Published: February 2024

The study used cluster analysis and decision tree modeling to construct a multivariate data fusion physical fitness evaluation model, and also built a physical fitness core literacy evaluation model through factor analysis and fuzzy comprehensive evaluation method. These two evaluation models were subsequently applied to physical education and health teaching in colleges and universities to measure the quality of physical education teaching in colleges and universities and students’ physical health status. By analyzing the practice of physical education teaching in colleges and universities, it was found that the pull-up program had the worst performance in students’ physical fitness test, with a score of 287. In addition, the lung capacity and 50-meter dash programs contributed the most to students’ total performance, with scores of 1,291 and 1,245, respectively. From the perspective of physical education and health teaching quality, the scores of teaching situation, teaching management and biological education school effectiveness were 4.68, 4.01 and 4.52, respectively, and all of these evaluation grades were good. This study provided an accurate and scientific analysis of the overall quality of physical education and health teaching in universities and the health status of students.
Exploration and Practice of Educational Teaching Evaluation Reform in Higher Vocational Colleges Based on Big Data Technology
Authors: Zhang Yamei
Published: February 2024

This paper constructs an evaluation model of education and teaching in higher vocational colleges based on big data technology, which focuses on students’ individual development and adapts to the “double-high program” goal. The evaluation index system of education and teaching quality established by the study contains 5 first- and 22 second-level indicators. The empirical Analysis takes QH College in R province as an example and analyzes the educational teaching data from 2018-2023. During this period, the mean values of secondary indicators of education teaching quality evaluation in QH College ranged from 2.7083 to 3.2886. The highest mean value of the rating of teaching objectives A1 and the lowest mean value of teaching standards A2. The coefficient of variation of teaching scenario B3 was the highest at 0.4887, and the coefficient of variation of building teaching resources was the smallest at 0.2587. In terms of the comprehensive evaluation of the quality of teaching and learning in higher vocational colleges and universities, the evaluation index system of QH College was categorized as “strong”. In addition, the study also analyzed the vulnerability of the evaluation of education and teaching in higher vocational colleges. From 2010 to 2023, the mean values of the vulnerability index of teaching quality evaluation of five higher vocational colleges in R province were 0.9693, 1.0536, 1.0507, 0.9993, 1.0407, respectively, with a significant turnaround in 2013, when the risk was significantly reduced. Synthesizing these data, this study provides an effective teaching model and evaluation method for higher education institutions to achieve high quality educational development.
Development of Civics Course for College Students Based on Integrated Transfer Learning Strategy
Authors: Zhang Li
Published: February 2024

This paper explores how to effectively predict and analyze students’ Civics course grades and their correlation with students’ behaviors based on the integrated transfer learning strategy to improve the teaching quality of Civics courses for college students through the integrated transfer learning strategy. The feature engineering method is used to extract the achievement features, and the achievement analysis and prediction model is established by Stacking integrated learning method combined with various algorithms such as KNN, linear regression and decision tree. By predicting and analyzing the Civics grades of college A students, the results show that the average error between the expected grades and the measured grades of computer science majors is 4.00 points. In contrast, biological science majors underestimate it by 5.41%. In addition, the cluster analysis of students’ behaviors using the k-mediods algorithm revealed significant differences between students with excellent academic performance and those with poorer performance in behaviors such as frequency of consumption and number of books borrowed. The integrated transfer learning strategy has a better application effect in the prediction and analysis of the performance of the Civics course, which can provide a powerful support to improve the quality of teaching.
Research on Intelligent Recommendation of Computer Course Items Combining Augmented Learning Algorithms and Data Mining Techniques
Authors: Zhao Yanfei , Jing Xia , Guo Hongjian
Published: February 2024

This paper combines augmented learning algorithms and data mining techniques for an intelligent recommendation system for computer course projects to optimize the allocation of learning resources and improve learning efficiency and effectiveness. The research methodology includes an improved association rule mining algorithm and an augmented learning model applying deep Q-network and adaptive reward function. The research results show that the system can effectively mine knowledge point associations and achieve personalized recommendation. In particular, the accuracy of knowledge point associations and the customized level of recommendation are improved by multi-support strategy improvement and knowledge point association correction. Experiments show that on the edX dataset, the recommendation recall reaches 0.347 at k=10 and 0.433 at k=20, significantly better than the traditional recommendation algorithm. This intelligent recommendation system can effectively improve the learning effect of computer course projects, and it has a positive impact on both learning attitude and independent learning ability, especially helping the backward students significantly and reducing the learning differences between classes.
Artificial intelligence empowers the construction of first-class financial management system
Authors: Wang Mingdong
Published: February 2024

With the rapid development of artificial intelligence technology, its application in financial management is increasingly widespread. This study aims to explore how to build a first-class financial management system with the help of artificial intelligence technology. We adopt the improved BP algorithm and ant colony algorithm to conduct in-depth research on financial risk early warning, financial analysis and financial forecasting. In terms of financial Risk early warning, a neural network-based risk early warning model is studied, and the improved model increases the prediction accuracy by 15%. The complex correlation between corporate financial status and market performance is found in economic analysis of multiple financial indicators. In terms of financial forecasting, a combination forecasting model is introduced and the weights are optimized by the ant colony algorithm, which improves the accuracy and reliability of the forecast and reduces the forecasting error by 20%. Artificial intelligence technology can effectively improve the efficiency and accuracy of financial management, provide powerful support for enterprise economic decision-making, and provide new ideas for building a first-class financial management system.
Impact toughness analysis of offshore wind power structures under the influence of long-period waves
Authors: Jiang Senhui , Wang Qing
Published: February 2024

In this paper, the performance of offshore wind turbine structures under long-period wave impacts is investigated, and a numerical model of long-period waves is developed to simulate the wave motion and fluid seepage in the pore medium by using the VARANS equation with the OlaFlow solver, and various turbulence models such as the model, RNG model, and the VOF method is applied to capture free surfaces, which can accurately simulate wave generation, propagation, reflection, breaking, and fluid seepage in the pore medium. These methods can accurately simulate the wave generation, propagation, reflection, breaking, and fluid seepage in the pore medium, and the accuracy of the numerical simulation is verified by comparing the results with those of the physical experiment. The results show that the wind farm exhibits good impact toughness under the influence of long period waves, and its overturning stability and slip stability are better than the safety coefficient required by the specification.
An applied study of industrial enterprise engineering and management based on human factors engineering
Authors: Niu Lixia , Ji Renzhou
Published: February 2024

This paper proposes an innovative management optimization method for the challenges facing the management of industrial enterprises in the context of the current rapid development of the industrial economy. The article combines human factors engineering and lean production theory to optimize the management efficiency and effectiveness of industrial enterprises. Considering the complexity of industrial environments, a personnel identification system and a tracking system are constructed in the study to achieve more effective staff management. To comprehensively assess the management effectiveness, the article combines the fuzzy synthesis method to build an evaluation model for the management effectiveness of industrial enterprises. The empirical study shows that the optimization method significantly improves the productivity: the working hours are reduced from 210 hours to 150 hours, the torso rotational and bending forces are reduced by about 54% and 45%, respectively, and the troops on each joint are reduced by about 59% on average. The overall optimization of the model has an affiliation value of 0.53, indicating that the management effect is evaluated as good. The data fully proved the effectiveness of the management optimization method for industrial enterprises proposed in this paper in increasing productivity and improving working conditions.