bluuebunny/crossref_metadata_2025 huggingface dataset:
Oil Spill in Northern Waters: Trial Outcomes and the Long-Term in Case of the Exxon Valdez
Authors: Duffield John , Neher Chris , Patterson David
Published: September 2023

This paper examines the natural resource damages litigation that arose from the 1989 Exxon Valdez oil spill. The authors compare the outcomes of the federal trial with some evidence, now more than 20 years later, on the long-term impacts of the spill on marine resources and the use of these resources by coastal communities. Because commercial fishermen and Alaska natives were the two main plaintiff groups, this case provides an interesting side-by-side comparison of a market and a nonmarket sector that both utilize the same raw resource base – the fisheries of Prince William Sound and the Gulf of Alaska. The analysis here examines the valuation methodologies from the standpoint of economic theory, regulatory guidelines, the court’s numerous decisions concerning what was admissible into evidence, and the respective outcomes – a jury decision and a settlement just prior to trial. The case may have some relevance for other circumpolar arctic or subarctic regions, such as the North Sea and Arctic Alaska, where expanding oil extraction and development could potentially impact viable commercial fisheries and coastal communities.Keywords: nonmarket valuation, natural resource damage assessment, subsistence, economic values, oil spill.Citation: Arctic Review on Law and Politics, vol. 5, 1/2014 pp. 38–74. ISSN 1891-6252
Rebuilding the Northeast Arctic Cod Fisheries – Economic and Social Issues
Authors: Armstrong Claire W. , Eide Arne , Flaaten Ola , Heen Knut , Wigdahl Kaspersen Inga
Published: September 2023

The Northeast Arctic cod (NEA cod) fisheries in Norway are now one of the richest cod fisheries in the world. In the past the fishery has experienced several stock declines and low economic returns. In this paper we review management approaches applied over 20 years to address one of the most severe crises in the fishery. Emphasis is on management strategies and the measures carried out to ensure successful rebuilding of the fishery, both biologically and economically. Though the rebuilding of the Northeast Arctic cod fisheries has in many ways been a success, a multitude of issues connected to social and economic consequences still remain. The lessons learned from this study relate to management, legitimacy, and economic issues, and may be relevant to other struggling fisheries.Keywords: Northeast Arctic cod (NEA cod); Fisheries Management, rebuilding fisheryCitation: Arctic Review on Law and Politics, vol. 5, 1/2014 pp. 11–37. ISSN 1891-6252
Penajaan Limbah Tekstil Padat Siasat Penyegaran Green Economy
Authors:   Magister Pendidikan Ekonomi, Universitas Sebelas Maret, Surakarta, Rahmawati Diya Rofika , Rahmanto Andi Adam , Hanifa Nida
Published: September 2023

Global warming due to the buildup of carbon dioxide (CO2) gas causes the air temperature to feel hotter. The buildup of carbon dioxide gas (CO2) occurs due to human activities that do not pay attention to environmental sustainability. The concept of green economy is proclaimed to be able to overcome hot problems that occur. The research method used is a literature review sourced from scientific articles, journals, and relevant documents. In this study, the results of waste created from human activities in the textile industry were classified into two types. The processing of solid textile waste can be addressed by managing wrapping containers during the production process to be reused without having to be thrown away, yarn waste and fabric waste are treated by recycling.
Pengaruh Penilaian Autentik Terhadap Peningkatan Disiplin Belajar Peserta Didik Kelas VIII pada Mata Pelajaran PPKn
Authors:   FKIP Unila, Sari Anggun Purnama
Published: September 2023

This study aims to describe and determine the effect of authentic assessment of the improvement of learning discipline of students in Class VIII PPKn subjects SMP 1 Tulang Bawang Tengah. The method used is a descriptive method with a quantitative approach. The total population of 126 students, with samples taken by 25% amounted to 32 students. Data collection techniques using questionnaires. Data analysis technique using percentage formula, simple regression and processed with SPSS version 25 application. The results showed that the influence of authentic assessment of the improvement of learning discipline of Class VIII students in PPKn subjects of SMP Negeri 1 Tulang Bawang Tengah.
Post-Trauma Stress Disorder in Sexual Harassment: A Case Report
Authors: Darmayasa I Made , Setiawan William Alexander , Natanael Raymond Josafat Major
Published: September 2023

Background: Violence or sexual harassment have been increasingly reported in recent years, especially among women. Not only at the global level, but also nationally and locally. Violence in the form of sexual harassment and rape can cause deep trauma to the victim, depression, and other mental disorders.
Methods: A case study of sexual harassment that causes post-traumatic stress disorder.
Results and discussion: an 18-year-old woman, still in high school, complained of fear after experiencing several times of violence or sexual harassment by both close people and strangers. With a multiaxial approach, the victim is diagnosed with Post-Traumatic Stress Disorder. It was confirmed that the victim had severe depression using the Hamilton Depression Rating Scale or extreme depression using the Beck Depression Inventory. In this case, several factors were identified such as: being a victim or previous sexual act, conflict, and violence in the family, emotionally unsupportive family environment, poor parent-child relationships, and poverty. Comprehensive management involves a multidisciplinary approach. Pharmacologically, Risperidone was given 1-milligram tablet every 24 hours orally in the morning, and Sertraline 25 milligrams tablet every 24 hours orally at night. Victims also receive psychotherapy, education, and social support. Furthermore, the victim is monitored regularly.
Conclusion: Sexual violence or harassment is prone to cause Post-Traumatic Stress Disorder, so it requires a multidisciplinary approach and comprehensive management. Starting from taking a history to confirm the diagnosis, treatment, and monitoring.
PENGARUH BI-7DRR, CADANGAN DEVISA, DAN JUB TERHADAP HARGA SAHAM INDEKS LQ45
Authors: Sari Rizyana , Rochdianingrum Widhi Ariestianti
Published: September 2023

Penelitian ini bertujuan untuk mengetahui pengaruh BI-7Day Repo Rate, cadangan devisa, dan jumlah uang beredar terhadap harga saham indeks LQ45 yang terdaftar di Bursa Efek Indonesia (BEI). Jenis penelitian ini adalah penelitian kuantitatif yaitu metode penelitian yang menggunakan data statistik untuk memecahkan hipotesis yang ditetapkan. Penelitian ini menggunakan teknik pengambilan sampel purposive sampling yaitu teknik penentuan sampel dengan menetapkan kriteria atau pertimbangan tertentu sehingga diperoleh sampel sebanyak 28 perusahan yang bertahan dalam Indeks LQ45 selama periode 2017-2021. Jenis data yang digunakan adalah data sekunder berupa data BI-7day repo rate, cadangan devisa, jumlah uang beredar, dan harga saham periode 2017-2021 yang bersumber dari www.bi.go.id, www.bps.go.id, dan www.idx.co.id. Metode analisis dalam penelitian ini menggunakan analisis regresi linier berganda dengan menggunakan aplikasi SPSS25. Hasil penelitian ini menunjukkan bahwa BI-7Day Repo Rate berpengaruh positif dan tidak signifikan terhadap harga saham. Cadangan devisa berpengaruh negatif dan signifikan terhadap harga saham. Jumlah uang beredar berpengaruh positif dan signifikan terhadap harga saham.
The Role of International Law in the Maritime Migration Security Assemblage: EU Activity in the Lampedusa Triangle
Authors:   Institutional Affiliation: Queen’s University Belfast, UK, Pearson BA, LLM Charlie
Published: September 2023

This paper concerns itself with the configuration of security at sea, arguing that its implementation is not solely within the security actor’s control. Rather, maritime security configurations are constructed as a result of intended and unintended actions and implications, melding security and insecurity together as a singular sphere of activity. Narrowing in on the specific case of migration governance, this paper investigates the role of international legal obligations and limitations for security actors at sea in understanding the operationalisation of maritime migration security. Questions of the construction of maritime security configurations are considered with reference to boarding and searching of vessels, search and rescue (SAR) and access to territorial waters, perceived through the practice based assemblage approach. It is proposed that assemblage theory is suited to accessing complex relationships between security and international law. Attending to Central Mediterranean migration governance, this paper reflects a reading of international law that resulted in a stagnation of security on the high seas. The convictions of this paper are three-fold. Firstly and primarily, the implementation of a maritime security initiative is not solely within the control of the securitising actor. Secondly, maritime security configurations are malleable, and shaped by unplanned elements, including international legal obligations and instruments. Finally, maritime security is an assemblage, constructed as a result of intentional and unintentional independent elements which form relationships and result in a unique security configuration. The findings demonstrate that international law forms an important aspect of maritime migration security configurations or assemblages, and significantly shapes such operations.
Legal Age for Marriage: SDGs and Maslahah Perspectives in Legal Policy Change in Indonesia
Authors: Setyawan Edy , Huda Muhammad Chairul , Muamar Afif , Sukardi Didi , Pangestu Muhammad Feby Ridho
Published: September 2023

This research aims to identify the impact of the change in legal policy on the protection of human rights and gender equality. This research analyzes the relationship between the aspects influencing legal changes regarding the legal age of marriage in Indonesia from a gender perspective and the SDGs. This study employed a qualitative approach that is based on library research to identify the impact of changes in legal policy. This study also used a juridical approach to capture an overview of Indonesian family law policies as stipulated in the Law Number 16 of 2019 with maslahah theory and Philipus M. Hadjon’s theory of legal protection as the analytical framework. The research results: First, it was found that the issue of the minimum legal age of marriage is part of the legal discovery area, which resulted in the emergence of Law Number 16 of 2019. Second, the gender movement in Indonesia has played a significant role in changing the paradigm of family law towards a more progressive view and a more protective to women’s rights. The integration of Hadjon’s theory of legal protection strengthens the analysis of the impact of changing legal policies on individual rights and gender equality.
Diseño y Modelado de un Exoesqueleto de Muñecay Antebrazopara Rehabilitación Motora en Pacientes con Enfermedad Vascular Cerebral
Authors:   División de Estudios de Posgrados e Investigación, Instituto Tecnológico de Nuevo León, Torres-Sarmiento E.J , Martinez- Peon D. C ,   División de Estudios de Posgrados e Investigación, Instituto Tecnológico de Nuevo León, Hernández- Hernández B.C ,   División de Estudios de Posgrados e Investigación, Instituto Tecnológico de Nuevo León, Ramos-Villa C.D ,   División de Estudios de Posgrados e Investigación, Instituto Tecnológico de Nuevo León
Published: September 2023

El presente trabajo muestra el diseño y modelado de un exoesqueleto de tres grados de libertad con el objetivo de asistir en la rehabilitación de muñeca y antebrazo, en pacientes con enfermedad vascular cerebral (EVC), con el fin de asemejar el proceso de rehabilitación al efectuado por un terapeuta humano. Para dicho fin, el mecanismo fue diseñado de acuerdo con las necesidades planteadas por parte de fisioterapeutas que trabajan directamente con pacientes con EVC. Los exoesqueletos para muñeca existentes incluyen un sistema de sujeción similar a un joystick para el agarre de la mano el cual es incómodo para los pacientes y les causa dolor, por lo que se implementó una guía ergonómica con la sugerencia de los fisioterapeutas que sujeta la mano al mecanismo. Se muestran resultados del análisis cinemático de la arquitectura propuesta y la selección de actuadores.
Prototipo de guantes traductores de la lengua de señas mexicana para personas con discapacidad auditiva y del habla
Authors:   Licenciatura en Ingeniería Biomédica, Facultad de Medicina y Ciencias Biomédicas de la Universidad Autónoma de Chihuahua, Ruvalcaba D. G , Ruvalcaba M ,   Licenciatura en Ingeniería Biomédica, Facultad de Medicina y Ciencias Biomédicas de la Universidad Autónoma de Chihuahua, Orozco J. P ,   Licenciatura en Ingeniería Biomédica, Facultad de Medicina y Ciencias Biomédicas de la Universidad Autónoma de Chihuahua, López R ,   Licenciatura en Ingeniería Biomédica, Facultad de Medicina y Ciencias Biomédicas de la Universidad Autónoma de Chihuahua, Cañedo C. E ,   Docente del Programa en Ingeniería Biomédica, Facultad de Medicina y Ciencias Biomédicas de la Universidad Autónoma de Chihuahua
Published: September 2023

En 2014, de acuerdo con la Encuesta Nacional de la Dinámica Demográfica, la prevalencia de discapacidad en México fue de 7.1 millones de personas, de las cuales el 51.5% padecen alguna discapacidad para escuchar o hablar. El proyecto consiste en el desarrollo de unos guantes traductores de la Lengua de Señas Mexicana, los cuales se plantea que usarán quienes padecen alguna de las discapacidades mencionadas anteriormente facilitando así que las demás personas los entiendan. El proceso se dividió en 4 segmentos: selección de palabras, estructura de los guantes, código de programación y base de datos. Como resultado se obtuvieron dos guantes capaces de traducir a texto y sonido algunas palabras básicas de la Lengua de Señas Mexicana y el alfabeto dactilológico.
Sistemas De Captura y Análisis De Datos De La Marcha
Authors:   Centro de ingeniería biomédica, Universidad Autónoma de Nuevo León, Herrera Alfonso R. , Sánchez Uresti Antonio ,   Centro de ingeniería biomédica, Universidad Autónoma de Nuevo León
Published: September 2023

Al conocer los movimientos y patrones del ciclo de marcha, se puede identificar lo que no es fisiológicamente normal en ella. El estudio de la marcha nos permite observar probables lesiones músculo-esqueléticas y neurológicas de un paciente a lo que se le conoce como marcha patológica. Para poder tratar de recuperar movimientos motores y tratar las lesiones, se diseñará un sistema que recopile datos a una alta velocidad. Los sistemas de visión utilizan elementos como cámaras y sensores para adquirir y procesar la información de manera precisa, esto nos da la oportunidad de utilizar la información y realizar diversos análisis. En esta investigación se utilizará un programa diseñado en Python y OpenCV para realizar la detección de ángulos en el plano sagital utilizando cámaras y marcadores infrarrojos en los elementos articulares de la marcha y así analizar los ángulos de cada fase del ciclo.
Conservatism on Islamic Legal Maxims: Judicial Interpretation of Polygamous Marriage at the Religious Courts of Mojokerto, Indonesia
Authors: Hadi Mukhammad Nur , Islamiyah Latifatul , Kurniawan Cecep Soleh
Published: September 2023

This article explores religious judges’ interpretations of Islamic legal maxims through a content analysis of 30 verdicts that granted permission for husbands’ polygamous marriages issued by the Religious Court of Mojokerto in Indonesia from 2020 to 2022. Despite governmental efforts to restrict polygamous marriage practices due to potential negative consequences, religious judges often grant permission to husbands, considering a balance between maṣlaḥah (public good) and mafsadah (harm). Employing a normative-philosophical approach, this article identifies two recurring Islamic legal maxims consistently applied by judges: “dar’u al-mafāsid muqaddamun ‘alā jalb al-maṣāliḥ” and “idhā taʼārada mafṣadaṭānī rūʼiya aʼẓamuhumā ḍararan bi al-’irtikābi akhaffihimā.” However, their legal interpretations regarding maṣlaḥah and mafsadah reinforce the husband’s interest in the case of polygamous marriage. Thus, the authors argue that the interpretations of these legal maxims in practice reflect a conservative perspective that strengthens patriarchal hierarchies. These findings highlight that Islamic legal maxims as legal principles within Islam have not yet effectively functioned as an instrument of protection for vulnerable groups, especially women and children.
Caracterización geobotánica de los bosques turbosos en el Pirineo central
Authors: Carrillo Empar , Ninot Sugrañes Josep Maria , Pérez-Haase Aaron , Carreras Jordi , Ferré Albert
Published: September 2023

Este trabajo da cuenta de un estudio detallado de la diversidad, composición florística, ecología y caracterización fitosociológica del hábitat de interés comunitario prioritario a nivel europeo (HIC) 91D0* en los Pirineos. Se ha realizado a partir de 23 inventarios tomados según la metodología fitosociológica de Braun-Blanquet, desde el valle de Benasque (Pirineo central) hasta la comarca de la Cerdaña (Pirineo oriental). Los resultados muestran una separación clara de comunidades según el árbol dominante y la hidrología. Reconocemos un bosque turboso de Betula pubescens Ehrh. como una nueva asociación: Blechno spicanti-Betuletum pubescentis ass. nov. dentro de la alianza Betulion pubescentis Lohmeyer et Tüxen ex Scamoni et H. Passarge 1959. Incluimos también en esta alianza un bosque turboso de Abies alba Mill. Los bosques turbosos de Pinus uncinata Ramond ex DC. subsp. uncinata han sido diferenciados en dos nuevas asociaciones caracterizadas fundamentalmente por briófitos: Sphagno papillosi-Pinetum uncinatae ass. nov., de la alianza Betulion pubescentis Lohmeyer et Tüxen ex Scamoni et H. Passarge 1959, y Sphagno capillifolii-Pinetum uncinatae ass. nov., de la alianza Eriophoro vaginati–Piceion abietis H. Passarge 1968. Estas comunidades ocupan siempre superficies pequeñas y no tienen amenazas directas, pero están influidas tanto por el cambio climático como por la dinámica forestal de los bosques adyacentes y por la actividad ganadera, ambas sujetas a cambios notables en los últimos decenios. Las características particulares de estos bosques y la presencia en ellos de algunos briófitos incluidos en la lista roja española o raros en los pirineos (Sphagnum squarrosum Crome, S. centrale C.E.O. Jensen, S. fallax H. Klinggr., S. flexuosum Dozy & Molk., S. medium Limpr.) demandan protección y seguimiento para garantizar su conservación.
The Application of Big Data Technology in the Efficient Development of Cross-Border E-Commerce Industry
Authors: Gao Qianqian
Published: September 2023

As a typical ecology of “Internet+”, cross-border e-commerce enterprises have a huge amount of data, but it is difficult to use it effectively. This paper researches the generation and development of cross-border e-commerce big data, proposes the association rule algorithm based on Apriori to mine and analyze the cross-border e-commerce data, improves the problem of high time cost of Apriori algorithm, optimizes the clustering analysis method of quantitative attributes, and adopts the distance-based quantitative association rule to search for frequent classes, and analyzes the big data of cross-border e-commerce platforms based on the improved algorithm. Big data of cross-border e-commerce platform. Based on the analysis of the high demand of the cross-border e-commerce platform based on big data, the prediction error rate is 1.75%, 2.27%, 5.48%, 2.49%, 2.91%, 2.08%, 10.18% and 1.81% in order. In terms of user portraits, the accuracy of big data analysis of users’ purchasing power, purchasing habits and consumption intentions reached 86.10%, 73.43% and 90.48% on average. Big data technology helps cross-border e-commerce companies optimize the industry chain, improve operational management efficiency, enhance consumer experience and establish a brand effect.
Research on the intelligent teaching model of integrated English reading and writing classrooms in colleges and universities based on big data technology
Authors: Xu Hui
Published: September 2023

Because of the current relatively lagging writing ability and the current situation of English teaching that separates reading and writing, input and output, this paper proposes the reading and writing integration model to improve English teaching. This paper first introduces the definition of mutual information and interaction information, explains the information theory feature selection method of big data relationship mining technology, and uses the feature selection method to select the features related to the target variable, further derives the hidden structural information between the features, mines the correlation between the target variable and the features, and derives their causal relationship through correlation. Then the specific measures of reading and writing integration are elaborated, including developing students’ sense of language through reading and imitating writing. Finally, the effectiveness of this method is evaluated in terms of learning confidence, achievement and writing level. In terms of English achievement, the mean score after the experiment was 95.44, which was higher than the previous mean score of 82.78. In terms of writing ability, 76.5% of the students said that reading improved the quality of writing, and 65.4% said that the integrated teaching of reading and writing made their writing faster. The integrated teaching mode of reading and writing has improved students’ English proficiency and interest in learning.
Corporate performance management model based on CPS evaluation system
Authors: Wu Ji
Published: September 2023

This paper proposes an enterprise performance management model based on the CPS evaluation system to improve the efficiency and efficiency of enterprises. First, this paper explains the connotation of the CPS evaluation system and constructs an enterprise performance evaluation model. The index data is normalized, and the index weights are calculated using Delphi and entropy methodsthod so that the indexes are scored comprehensively. Then the enterprise performance management system was established, and the assessment criteria for each department of the enterprise, including the finance and production departments, were established. Finally, the management effect of this performance management model was analyzed in terms of enterprise profit and return rate. In terms of enterprise profit, the enterprise’s net profit was between 700,000 and 800,000 in the five months before the adoption of this method, while the profit of the enterprise was basically above 800,000 and increased month by month after the adoption of this system. In terms of payback rate, the payback rate fluctuated around 60% before the adoption of the evaluation system, but after the adoption, the payback rate of the enterprise was above 70% and showed an increasing trend. The enterprise performance management mode based on the CPS evaluation system can improve the efficiency of the enterprise, which proves the reliability of the method of this paper.
Comparative strategies of domestic and foreign ideological and political education in universities in the context of big data
Authors: Zhang Rongyun
Published: September 2023

The comparison and study of ideological and political education methods in Chinese and American universities can enable us to improve ideological and political education methods further. In this paper, we use the global optimization performance of the genetic algorithm to overcome the disadvantage that the K-means algorithm is sensitive to initial values and tends to converge only to local optimum points and propose an improved K-means algorithm based on the genetic algorithm. Meanwhile, the combination with the simulated annealing algorithm eliminates the problem that the K-means algorithm is sensitive to isolated points, makes the algorithm less susceptible to extreme data, and improves the analysis ability of the algorithm. In analyzing the content of ideological and political education in China and the United States, the main contents of ideological and political education in American colleges and universities include civic education, patriotic education and religious education. The first content of ideological and political education in Chinese schools is “mental health education”, accounting for 94.44%, and the second is “moral quality education”, accounting for 75.97%. The second is “ideal and belief education” and “education on life and values”, accounting for 73.23% and 72.70%, respectively. Therefore, American colleges and universities cultivate responsible citizens with the American spirit, while Chinese Civic Education cultivates socialist builders who serve the people.
Research on the innovation of ideological and political education for college students based on the Civic and Political Science Cloud Education Platform
Authors: Luo Siyi , Alia Noryati Binti
Published: September 2023

Innovative ideological and political education for college students is to help better students improve their ideological quality and political literacy. In this paper, under the background of big data, the Civic and Political Cloud Education Platform is constructed using big data technology, which is mainly composed of four main parts: model layer, view layer, control layer, and basic services. Student behavior data is collected and analyzed through a collaborative filtering recommendation algorithm under big data collection and analysis technology, and performance simulation analysis is conducted for the Civic and Political Science Cloud Education Platform. From the performance analysis, when the number of concurrent users of the Civic Education Cloud Platform is 80-120, the average transaction processing per second is stable at 10.5 s. From the practicality, the Civic Education Cloud Platform built by big data can effectively explore the value of Civic Education teaching resources. This shows that the Civic and Political Science cloud education platform is an effective way to innovate and develop the ideological and political education of college students, and through this platform, the ideological quality and political literacy of college students can be effectively improved.
Improving online ideological and political precision education in universities based on knowledge mapping
Authors: Liu Ning
Published: September 2023

Empowering precision innovation through big data to improve the effectiveness of ideological and political education in colleges and universities can effectively promote cultivating the new generation of the times. Based on learners’ learning behaviors and quantified learning behavior indicators, this paper proposes a three-branch division model based on a cognitive level to reduce the “Matthew effect” of collaborative filtering algorithms in path recommendation and improve the cognitive level of online learners. Based on the three-branch decision theory, we select the decision with the highest expected utility as the final decision and recommend the learning content suitable for the learners’ development. The analysis of the functional requirements of the personalized learning recommendation system based on knowledge mapping, the overall structure diagram of the system, and the construction process of each component module are proposed. By analyzing the influence of ideological and political education on college students, about 80% of college students generally think that ideological and political education has improved political character, strengthened ideals and beliefs, enhanced national sentiment, standardized speech and behavior, improved comprehensive literacy, and enriched after-school knowledge. More than 80% of students, teachers, and leaders are satisfied with the personalized recommendation model proposed in this paper, and less than 10% are dissatisfied. Therefore, big data technology can help improve students’ Civics learning effect and has strong applicability.
A multi-objective optimization algorithm based on the identification of risk spillover intensity measurement in Chinese financial markets
Authors: Mao Rui , Liang Fuxiang , Wang Jingjing
Published: September 2023

Identifying the intensity of risk spillover in China’s financial market can provide an important empirical basis and information reference for monitoring and preventing financial risks. This paper uses a multi-objective application of particle swarm optimization algorithm under a multi-objective optimization algorithm to induce the MOPSO algorithm. The algorithm identifies and measures the intensity of risk spillover in China’s financial market in two aspects, including the risk spillover from policy instability to the stock market and the two-way risk spillover between the financial industry and the real estate industry. Regarding policy instability, the risk spillover intensities of downside fiscal policy, monetary policy, trade policy, and foreign exchange policy are 14.83%, 53.88%, 7.54%, and 31.06%, respectively. Regarding the two-way risk spillover intensity, the average risk spillover intensity of real estate to finance is 70.28%, which is 5.57 percentage points higher than that of finance. This indicates that the multi-objective optimization algorithm can identify and measure the risk spillover intensity of China’s financial market, providing data support and information reference for preventing financial risks.
A Study on the Multidimensional Expression Form of Ancient Chinese Teaching in Universities Based on Multidimensional Analysis Model
Authors: Yu Lu
Published: September 2023

With the continuous development of computer technology, the teaching of ancient Chinese has realized a quantitative and statistical research path for a large-scale corpus. In this paper, based on a multidimensional analysis model, six disciplines in the humanities domain (Chinese literature, history, philosophy) and social sciences domain (economics, sociology, law) of ancient Chinese were selected as dimensions, and 111 linguistic features of ancient Chinese in the corpus were factor analyzed. Multivariate ANOVA and post hoc tests were conducted on the discourse dimension scores of different disciplinary domains, and qualitative analyses were conducted in conjunction with the linguistic features in the specific corpus to further verify the linguistic domain coefficient of variation of ancient Chinese. The results of the study show that the results of the Levenes test for homogeneity of variance in the teaching of ancient Chinese in a single dimension are all p < 0.0001, while there are highly significant differences between the historical and philosophical domain features in the humanities (p = 0.001 ≤ 0.01), and extremely significant differences with the other four disciplines. The results of the multidimensional expression form of ancient Chinese teaching based on the multidimensional analysis method proposed in this paper effectively advance the advancement of ancient Chinese teaching and enable students to learn Chinese culture from other dimensions while learning ancient Chinese.
Exploring the Multiple Meanings of Ice and Snow Sports Culture Construction in Chinese Universities Based on Fuzzy Algorithm
Authors: Wang Zhen
Published: September 2023

In the Internet era, sports have been given a good opportunity for development, and the increase in sports activities has also led to the continuous improvement of national physical quality. This paper uses a fuzzy algorithm to decompose test cases’ reusability into functionality and portability. Then, we use hierarchical analysis to stratify the required reusability metrics into sub-characteristics and different attributes under sub-characteristics to obtain the weight ratio of each layer of reusability attributes. Then the sub-characteristic metrics are reasonably quantified by numbers to realize the quantitative evaluation of test case functionality and portability and turn the abstract concepts into intuitive numbers to provide users with reference. Finally, with the core of promoting the development of ice and snow sports programs in Chinese colleges and universities, the construction of ice and snow sports on campuses is strengthened according to the advantageous conditions in the region to improve the physical and mental quality of youth and the simultaneous development of science and culture. Using the fuzzy algorithm to analyze the importance of ice and snow sports by school leaders, it is concluded that 68.8% of the base schools do not have relevant management methods, and 56.3% do not have relevant rules and regulations. This study further promotes the reform and development of ice and snow sports in colleges and universities nationwide and also provides a theoretical basis for strengthening the training of ice and snow sports talents nationwide.
The construction of hotel information management mode under the trend of low carbon tourism
Authors: Tong Jun , Liu Zaiying
Published: September 2023

The management of hotels in the context of low-carbon tourism tends to be more and more information-based, and there is an urgent need to build a management model in line with information technology. In this paper, a hotel informatization management system considering customer satisfaction is established, the system objectives are designed based on the demand analysis of travelers, and the functions of subsystems are designed based on the information management activities of the system. For the analysis module of customer satisfaction, the satisfaction index system of hotel travelers is constructed based on the ACSI model, and the satisfaction index is analyzed using the PLSR method. For the database structure of the system, the system tables were divided into several interrelated information tables. In the system test, this system’s read/write rate improved by 8.26% compared with the Green Cloud system and 7.53% compared with the Golden Swan system. Regarding the fit of satisfaction analysis, this system improved by 5.53%, 18.90%, 12.29%, and 1.33% over the quadratic graph method, the Carnot model, the CCSI model, and the ECSI model, respectively. Regarding the optimization rate of services, this system improves by 8.03% compared to the Opera system. The information-based management system helps improve the hotel’s service quality and management level and also provides a solution for operators to develop users in the hotel industry.
Research on energy consumption analysis of air conditioning and refrigeration equipment based on perceptron model
Authors: Zhang Youtong
Published: September 2023

This paper mainly studies the energy consumption of air conditioning and refrigeration system from the perspective of the dynamic operation of air conditioning systems and selects the energy consumption of a chiller system, cooling tower system, chilled water pump system and fan coil system, which affect the energy consumption of air conditioning system, as model variables. An integrated learning method based on a multilayer perceptron is proposed to integrate spatial features with temporal features, and a spatio-temporal prediction model for air conditioning energy consumption analysis is established under the Seq2Seq framework, and then the input curves of the four variables with load change under the optimal operation of the air conditioning system under dynamic load are derived. The results show that the deviation between the simulated value and the measured, calculated value of the energy consumption analysis model of air conditioning and refrigeration equipment based on the multilayer perceptron is within 5%, which can effectively and accurately predict and reduce air conditioning energy consumption by 15% to 20%. The maximum energy-saving efficiency can reach 30% when the air conditioning system is in optimal operation under dynamic load, and the energy-saving effect of the chiller, chilled water pump and cooling water pump is relatively significant. The research results of this paper have a certain reference value for reducing the energy consumption of air conditioning systems in practice.
Research on the design of interactive intelligent toy art experience based on multimodal sensory
Authors: Luo Cong
Published: September 2023

Although many kinds of intelligent toys, interactive toys that can mobilize children’s sensory experience in many aspects and cultivate their creative thinking are still scarce. In this paper, interactive experience elements are built based on virtual reality technology, image recognition technology, human-computer interaction theory, and ergonomics theory. A brain interaction network based on multimodal sensory modulation is constructed to allow intelligent toys to perceive their surroundings effectively. And the dynamic causal model (DCM) is proposed to infer the connection strength and direction of neural activities among pre-defined cortical regions of the brain. The results showed that the classification accuracy of noisy audiovisual (AVd) modality in the BA18 region was 87.87% significantly higher than that of the STS region (81.41%). The average classification accuracy of the mono-visual noise-added (Vd) modality in the BA18 ROI was 79.40%, which was also significantly higher than that of the STS ROI at 65.12%. It indicates that the interactive design based on multimodal senses can effectively stimulate children’s brain interest areas, which makes children experience better and communicate more interactions. The research results of this paper provide new perspectives and have important implications for the application of interactive intelligence to toy art.
ECOC-based integrated learning method for fault diagnosis in nuclear power plants
Authors: Sheng Guimin , Mu Yu , Zhang Boyang
Published: September 2023

The fault diagnosis system of nuclear power plants plays an important role in ensuring the safety and economy of nuclear power plant operations. This paper first analyzes typical faults of nuclear power plants and their phenomena, and fault samples are obtained. A comprehensive study of the structure of the nuclear power plant system, its working mode and the association between each subsystem is carried out to analyze the monitoring parameters and fault characteristics and establish the fault data set. Secondly, an IFWA (Improved Fireworks Algorithm - Integrated Learning) algorithm is proposed to assess the severity of faults in the first circuit of a nuclear power plant. Finally, the fault diagnosis module is divided into three units according to the functional logic, i.e., condition monitoring unit, fault identification unit, and fault severity assessment unit. The results show that the diagnostic accuracy of the IFWA algorithm is 94.25% for SGTR in the single-fault diagnosis experiment and 96.25% for SGTR-LOCA in the multiple-fault diagnosis experiment. It shows that the IFWA algorithm proposed in this paper has the optimal performance capability when applied to nuclear power plant fault diagnosis and effectively assists managers in diagnosing faults and giving maintenance recommendations.
Self-efficacy-based change in educational administration style and public management model
Authors: Li Qiao , Zhang Dawei
Published: September 2023

At present, the public management model is relatively backward, and the way of education administration needs urgent change. This paper explores the characteristics of the higher education administrative body operation mode in different periods and analyzes and summarizes the problems of the current educational administrative style. In response to these problems, an educational administrative management style based on self-efficacy is proposed, and the mathematical expression of three characteristic dimensions of self-efficacy is established through the modeling study of the factors influencing self-efficacy. The impact of characteristic self-efficacy dimensions on the efficiency and fairness of educational administration was analyzed as a strategy to propose management model changes. The impact factors of self-efficacy magnitude on input-output efficiency reached 0.43, self-efficacy breadth on problem-solving efficiency reached 0.40, and self-efficacy intensity on planning goal completion efficiency reached 0.27. The impact factors of the three characteristic dimensions of self-efficacy on educational equity reached 0.31, 0.35, and 0.34. This study provides an effective reference path for educational administration. This study provides an effective reference path for optimizing educational administration and helps promote the scientific construction of the public management model.
A Study on the Impact of Cloud Computing Performance Efficiency on Task Resource Scheduling
Authors: Lin Jianling
Published: September 2023

In this paper, the inertia weighting strategy of the particle swarm is improved by using the properties of periodicity and fixed upper and lower bounds of sinusoidal function to model the task scheduling problem in cloud computing as a mathematical problem, and the improved particle swarm algorithm is discretized, and the improved discrete particle swarm algorithm is applied to task scheduling by corresponding encoding method. The task scheduling algorithm (PSOACO) that fuses the fast convergence and small computational power of the particle swarm algorithm with the global exploration capability of the ant colony algorithm for scheduling tasks is proposed. Two test cases, PageRank and wordcount, are selected to measure the performance of the PSO-ACO algorithm. In the performance comparison running the PageRank test case, the PSO-ACO algorithm obtains a performance speedup ratio of 3.8 times that of the native Domino when 50,000 pages are added. In the execution time comparison for the wordcount test case with an additional data set, the PSO-ACO algorithm is nearly 2.8 times faster than the native Domino when adding 1GB of data. Thus, the fusion algorithm reduces the task completion time and achieves a balance between the algorithm’s computational effort and the scheduling’s convergence performance.
The construction of an intelligent English grading teaching model based on partial least squares method
Authors: Qi Yuanyuan
Published: September 2023

Building an intelligent English grading teaching model helps to improve English teaching and students’ English performance in colleges and universities. In this paper, the PLS-ELM model is constructed from partial least squares as the base algorithm, the concept of an extreme learning machine is introduced, and the principal component score of the PLS algorithm is used to the number of neuron nodes of ELM, and then the adjustment of weights is realized. The principal components of PLS were used to analyze the selection of independent variables for the English-graded teaching model. The effectiveness of the English-graded teaching model was verified by comparing students’ satisfaction with teaching evaluation and performance after teaching implementation. Regarding student satisfaction, the percentages of those evaluated as very satisfied, generally satisfied, and dissatisfied were 53.71%, 32.86%, and 13.43%, respectively. Regarding students’ performance, the average score of students in the experimental group was 88.6, 14.62% higher than the English performance of the control group. This shows that the English grading teaching mode can improve students’ English learning performance, enhancing students’ own quality and professional ability, improving university English teaching, and cultivating students’ English application ability.
Research on the current situation and countermeasures of student employment management in higher education institutions based on multiple regression analysis
Authors: Shi Jirui
Published: September 2023

Employment management in higher education institutions has an important influence on the employment situation of graduates, and this study aims to give corresponding countermeasures by analyzing the current situation of employment management. This paper investigates and studies the employment situation and the perceptions of employment management of graduates from higher education institutions and obtains relevant data on employment and employment management. The correlation between career guidance courses, career guidance methods and career guidance websites and graduates’ employment rate is analyzed using multiple regression methods to develop countermeasures for employment management optimization. The regression coefficients of professional construction, ideological construction and psychological counseling of career guidance courses on their comprehensive evaluation were 0.1654, 0.0872 and −0.0475, respectively. The regression coefficients of the three influencing factors on the comprehensive evaluation of the career guidance website were 0.7485, −0.0213 and 0.1457. the regression coefficients of the three influencing factors on the comprehensive evaluation of career guidance methods were 0.7485, −0.0213 and 0.1457. The multiple regression models achieved good significance. Based on the multiple regression analysis, the key factors of employment management in higher education institutions were clarified by data modeling methods, which helped to better propose countermeasures for employment management.
Research on the influence factors of innovation and entrepreneurship education based on neural network model
Authors: Wang Peng , Dong Keping
Published: September 2023

This paper selects the evaluation indexes that fit with the teaching mode and evaluation objectives of university innovation and entrepreneurship education in the new media environment. The limitations of the existing evaluation indexes are analyzed and combined with the characteristics of students’ physical and mental development and cognitive level; the indexes are screened and integrated, and a new evaluation system is constructed. Based on the improved particle swarm algorithm, the BP neural network is optimized to establish the evaluation model of students’ innovation ability and improve the defects of the particle swarm algorithm, covering the selection of the network topology, the number of neurons in each layer, the setting of the parameters of the improved particle swarm algorithm, and the dynamic adjustment of the weights and thresholds, so as to build the evaluation model. Analyzing the influencing factors of college innovation and entrepreneurship education in terms of college factors and individual factors, 45.7% of students want college innovation and entrepreneurship education courses to focus on entrepreneurial opportunities or environment analysis in the teaching process, 41.4% of students feel average in terms of teaching resources, and more than 50% of college students are conservative in the direction of employment or entrepreneurship in terms of personal factors. Comprehensive analysis shows that the influencing factors, such as inflexible teaching methods, unsound curriculum systems, imperfect practice platforms, and college students’ own ideological awareness, are very significant and worth noting.