bluuebunny/crossref_metadata_2025 huggingface dataset:
Exploring the Quantitative Analysis Model of the Effectiveness of Interactive Teaching of English in Colleges and Universities
Authors: Zhang Li , Li Li , Ma Yanli , Wang Luyao
Published: August 2024

The lack of an effective evaluation system for the process and effect of interactive teaching of English in colleges and universities has resulted in a disconnect between the status quo of English teaching in many colleges and universities and the effect of teaching, so it is of great significance to know how to put forward a quantitative analytical model to promote the effect of interactive teaching of English in colleges and universities. The article takes University A as the research object, constructs the evaluation index system of the interactive teaching effect of English in colleges and universities, and adopts the fuzzy hierarchical analysis method to evaluate the interactive teaching effect of English in colleges and universities. Finally, the qualitative comparative analysis method is used to further explore the specific factors that affect the interactive teaching effect of English in colleges and universities. The total affiliation vector B=(0.06,0.07,0.04,0.02), combined with the teaching quality evaluation grade classification standard, determines that the English classroom interactive teaching effect grade is good. The conditional grouping patterns of high-level problem solving can be derived into four groups, namely, gender-balanced type fueled by collaborative relationships, gender-balanced type fueled by teaching interventions, heterogeneous type within the group dominated by teaching interventions, and close relationship type dominated by teaching interventions.
A Quantitative Relationship Analysis of Language Patterns and Cultural Identity in Southeast Asian Chinese Literature
Authors: Hu Dongzhi
Published: August 2024

As an important part of overseas Chinese literature, Southeast Asian Chinese literature has entered the research field of mainland scholars since the 1980s with the deepening of economic, trade, and cultural exchanges between mainland China and Southeast Asian countries. In this paper, we use the linguistic characteristics of Southeast Asian Chinese literature as the research landing point, establish the mathematical model of regression analysis, and transform the coordinate system to simplify the derivation formula. The slope is used to determine the macro change direction of the regression curve, and the slope formula is further derived to get the expression for judging the micro change trend of the curve, which completes the construction of the mathematical model of language pattern and cultural identity law. Based on the knowledge graph visualization and analysis tool CiteSpase, the data of language patterns and cultural identity samples were processed and analyzed in terms of the number of publications, author groups, research institutions, and publishing journals. 2016 was the year with the highest number of publications, and the number of publications in this year was 55. “Malay-Chinese literature” ranked first among the high-frequency keywords, with a word frequency and centrality of 173 and 0.82, respectively. The correlation coefficient between Southeast Asian Chinese’s attitude towards Chinese language and Chinese cultural identity (Spearman’s rho=865, p<0.01) shows a positive relationship.
Game Analysis on the Evolution of Elderly Service Regulation in the Context of Aging Society
Authors: Wang Wei , Li Tongbin , Yan Yu
Published: August 2024

In the contemporary era of increasing population aging, improving the service quality of senior care institutions and optimizing the regulatory behavior of multiple subjects has become a hot topic in society nowadays. Based on the welfare plurality theory and Li Yapunov theory, this paper analyzes the behavior of the government, senior care institutions, and the elderly in the regulation of senior care institutions, establishes a game model for the regulation of senior care institutions, and analyzes the mutual influence of the behavior of the multiple subjects in the regulation of senior care institutions by using the evolutionary game method. The results show that the service quality of senior care institutions is affected by many aspects, and with time, the rate at which senior care institutions, the government and the elderly converge to the equilibrium strategy becomes smaller and smaller, and the system will eventually reach a stable state at (1,1,1) (i.e., active government supervision, self-regulation of senior care institutions, and supervision of the elderly), and the government has a certain role in leading the optimization of senior care institutions’ supervision behaviors. This study has practical value for improving the quality of services offered by senior care institutions, meeting the senior care needs of elderly individuals, and enhancing collaborative governance among multiple stakeholders.
Internet+ Teaching Model of Community-Based Elderly Education in the Context of Smart Cities
Authors: Tang Zhengyou
Published: August 2024

The rapid emergence of Internet+, artificial intelligence, virtual reality, and other innovative technologies has led to the gradual penetration of online learning into traditional teaching, and face-to-face teaching and online teaching have moved towards deep integration. This paper explores the Internet+ teaching mode of online and offline integration of community-based senior education in the context of a smart city and designs a personalized learning platform for community-based geriatric education. Subsequently, a learning path recommendation model based on two-dimensional features of learners and learning resources is constructed, and then the SASBPSO algorithm is used to realize model optimization and improve the online learning effect of community-based senior education, and the effect of the model application is analyzed. The SASBPSO algorithm is more reliable than other algorithms when solving optimal solutions and converges at less than 0.1, which is significantly superior to other algorithms in terms of convergence. The time used by elderly learners under the use of this paper method is significantly shorter than the traditional method, and the average learning time gap is smaller. The difference between the average scores of the pre-test and post-test of the two groups is −16.247 and −8.146, and the significance value of the difference is 0.003 and 0.016, respectively, 0.003<0.016<0.05, indicating that the learning effect based on personalized learning path recommendation is significantly higher than that of the traditional learning method. This paper provides feasible design ideas for the Internet+ teaching mode of community-based geriatric education.
Augmented Reality Applications of Spanish Folk Music Elements in 7 Spanish Ballads and Don Quixote to the Intended Lovers
Authors: Su Xin
Published: August 2024

Spanish folk music is characterized primarily by folk song tunes, dance rhythms, and folk instrumental music. This paper combines the understanding of the artistic expression of “7 Spanish Folk Songs” and “Don Quixote to the Intended One” music works, proposes to start the sound envelope computation to perceive the music beat, and utilizes the dynamic planning algorithm for real-time tracking. Combined with the three-dimensional model of stereo-visual rendering, an interactive module for presenting Spanish folk music has been established. The selected dataset, the dynamic programming algorithm of this paper, and other algorithms are used to compare the results of music beat recognition. Design the questionnaire of instinctive layer emotional experience and behavioral layer emotional experience, analyze and process the research data, and compare the advantages and disadvantages of the traditional music presentation with the music embodiment of the augmented reality group. This paper proposes a music beat recognition algorithm that has the advantage of real-time detection. In terms of automatic music emotional experience, the mean values of instinctive layer emotional experience for the traditional group and augmented reality group are 5.22 points and 6.125 points, respectively. By combining reality and information interaction, the augmented reality group is more adept at conveying the flavors and art of Spanish national music.
Research on the Visual Effect of Contemporary Northeast Red Cultural Elements in Digital Animation Creation
Authors: Feng Shiqi
Published: August 2024

This paper analyzes the value and characteristics of the red cultural elements of the Northeast, as well as the characteristics of the integration of the red culture of the Northeast and the creation of animation, and discusses the application of the red cultural elements of the Northeast in the animation transmission. Northeast Red Digital Animation began to do the preliminary preparatory work. The preparatory work includes determining the main content of the animation and according to the main content of the narration and text script creation, the production of the activity storyboards, and the design work of the information elements needed in the video. The subdivision modeling method in Maya software is used to construct the animation scene. Path planning is a very important link in the production of group behavior animation, by changing to the artificial fish school algorithm to optimize the animation path. The path data obtained is imported into the Maya scene. Then the final digital animation results can be obtained with the help of the animation generation method provided by Maya. Setting the model parameters and research objects, the animation creation for integrating the red culture of Northeast China is researched and analyzed. For the optimal time, this paper’s algorithm runs for 20.9109s less than the time used by the GA algorithm. The mean value of the visual effect of the animation integrating the red culture of the Northeast is 3.47, which indicates that the designed animation brings the user a more satisfactory visual experience, and it is necessary to let the audience understand the spirit and sentiment behind the red culture in order to effectively improve the visual effect of the animation integrating the red culture of the Northeast.
Research on Innovative Mechanical Structure Design in Carbon Fiber Ingot Winding Technology
Authors: Gao Qiliang , Wang Wei , Lou Kefeng
Published: August 2024

Carbon fiber ingot winding, the final step in the production of carbon fiber, is a crucial process that directly influences the quality of the final product, ensuring the quality of carbon fiber and facilitating smooth processing in the subsequent process. This paper describes the principle of carbon fiber ingot winding, summarises the difficulties of winding carbon fiber ingots, and designs a winding machine that can wind different specifications of carbon fiber ingots. It figures out the folding curve and spiral rise angle in the winding movement of carbon fiber spindles using theoretical knowledge of physical kinematics. It then builds an experimental test platform, prepares the experimental samples, and, based on the needs of the experiment, analyses the process of carbon fiber spindle winding technology. The results demonstrate that the error value between the measurement on the experimental platform and the actual manual measurement remains within 0.01 g, the carbon fiber spindle becomes compact at a tension setting scale value of 5, and the winding end surface remains flat. Furthermore, we find that a larger spiral angle, ranging from 51.7° to 208.5°, enhances the winding’s overlapping effect. The innovative mechanical structure design scheme proposed in this paper has been proven to be effective in process simulation.
Study on the Historical Evolutionary Path of Chinese Ceramic Technology Based on Data Mining
Authors: Han Guangda , Jiang Na
Published: August 2024

Ancient Chinese porcelain occupies an important position in Chinese cultural relics, and the development process of ceramics in various periods has played a great role in promoting the development of society. To explore the historical evolution path of Chinese ceramic technology, this paper proposes a data mining approach. The first step is to list the data mining tools, and then a distributed data crawler is deployed to crawl textual information related to Chinese ceramics in the Cultural Collection by defining keywords related to Chinese porcelain. Then, the incomplete data duplication, semantic ambiguity, and low-value and unclear pointing information that existed in the original text data were deleted. By setting thresholds and sorting, keywords with higher weights were filtered after scanning the cleaned texts. To compare data from different periods and subjects, the data was normalized. Correlation analysis was used to extract historical changes in Chinese ceramic technology in the time dimension, and then the components of ceramics in the historical evolution were analyzed by K-mean-based principal component analysis. Ceramic manufacturing technology mainly developed during the Five Dynasties and Two Songs, formed during the Yuan Dynasty, matured during the Ming Dynasty, flourished during the Qing Dynasty, and declined during the Republic of China. The first six principal components were extracted because their cumulative variance contribution exceeded 85%. In detail, the samples were divided into four categories according to each principal component, and the classification results reflect the differences in the content of pottery-making raw materials. Side by side, it reflects that pottery-making technology is changing with the advancement of history.
Training and Application of Teachers’ Informationalized Teaching Skills in a Blended Teaching Model for Accounting
Authors: Hu Chengyan
Published: August 2024

Blended teaching combines the benefits of both traditional classroom lecture instruction and online learning, allowing students to tailor their learning path based on their knowledge base. It also eliminates time and space constraints, effectively counteracting the limitations of traditional teaching methods. Based on teachers’ informational teaching skills, this study adopts the improved PSO algorithm to summarise the data generated by the teaching process and builds a blended teaching model based on accounting training in the context of big data. Subsequently, we employed a questionnaire survey to explore how the blended teaching model aligns with the informational teaching skills of accounting students, and ultimately, we summarized and generalized the impact of the blended teaching model’s execution. It was found that the accuracy of the data collected by the hybrid teaching model based on the DPSO algorithm ranged from 86.82% to 95.05%, and the energy consumption of the sensors of this model only ranged from 5.46 to 7.76*102 (mJ). Students were very satisfied with 32%-50%, 26%-33%, 30%-50%, and 25%-61% of the blended teaching effect, information technology teaching skills, course design and organization evaluation, and learning effect evaluation, respectively, which indicates that the blended teaching has achieved good results. This paper optimizes the three aspects of teaching and training the accounting profession to provide a reasonable reference for the construction of an information technology teaching mode for accounting professional training and application.
Quantitative study of the effect of high-performance zinc alloy coating technology on the life of mechanical components
Authors: Lai Yanjun
Published: August 2024

Corrosion of mechanical components has been of wide interest in recent decades. Corrosion is caused by physicochemical action between a metal and its environment, which can result in changes in the metal’s properties and functional damage in mechanical components. The main corrosion manifestations of zinc alloy coatings in marine environments are discussed in this paper, which first explores the application of high-performance aluminum alloy coatings in industry. Subsequently, the ZAS35 alloy used for this paper was experimentally prepared, and orthogonal tests were utilized to determine the optimum matching values of process parameters for zinc alloy coatings to generate materials. The hardness and wear resistance of ZAS35 were evaluated against other zinc alloys. An iterative learning control algorithm was employed to determine the thickness of the zinc alloy coating. The optimal control of the steady-state process of coating thickness can be achieved by using the NARX dynamic neural network model as a predictive identification model for zinc alloy coating thickness. Finally, data were collected using an optical microscope to quantitatively analyze the effect of zinc alloy plating on mechanical life. When the thickness of zinc alloy is 1.7 μm, the probability of life is [947.56,978.36]×103h interval t=0.999, which is improved by 409~684.11×103h compared with the plating thickness of 1.10μm . After adding aluminum elements to zinc plating, the corrosion potential of the plating decreases from −800mV to −1000mV, and the zinc-aluminum alloy prevents electrochemical corrosion of the plated layer with cathodic corrosion inhibition.
A Study of the Impact of Combining Digital Marketing and Virtual Reality Technology on the Online Shopping Experience
Authors: Lin Shengxuan , Guo Xin
Published: August 2024

Virtual reality technology has brought a new round of information technology revolution for marketing due to its dual potential in marketing efficiency and experience. After combing the applications of the combination of digital marketing and virtual reality technology, this paper takes a store’s VR marketing campaign as an example, selects the relevant evaluation indexes, and, after assigning values to the indexes’ weights, applies the gray fuzzy comprehensive evaluation method to assess the integration effect of digital marketing and virtual reality technology in the sample VR marketing campaign. Afterward, the theoretical model and research hypotheses regarding VR digital marketing’s influence on online purchase experience are proposed, and structural equation modeling is employed to validate the correlation. The results indicate that the integration effect of VR marketing campaigns in the sample stores is above average (75.93 points). The combination of digital marketing and virtual reality technology positively stimulates users’ demand motivation and experience perception (P<0.001), which in turn positively affects users’ satisfaction level and the online shopping experience as a whole of demand motivation, experience perception, and satisfaction level collectively affects users’ post-participation behavior. The combination of digital marketing and virtual reality technology can enhance users’ purchasing experience and further improve publicity conversion and brand impact.
Multi-dimensional analysis of financial accounting information and construction of decision support systems
Authors: Huang Nuoyu
Published: August 2024

Financial information is the core information of modern enterprises, which is of great significance to the sustainable development of enterprises. Based on the cost variance accounting model, the comprehensive budget management model, and the financial crisis early warning model, the financial information decision support system was constructed. Company S was selected for case analysis, and three modules in the decision-making system were used to analyze the company’s operating costs, overall budget management, and financial situation. Among the seven work centers of Company S, the consumption costs of the semi-finished product center and the procurement center account for the highest proportion, reaching more than 50% of the total manufacturing cost. Acquisition operations, raw material processing operations, semi-finished product operations, packaging operations, and quality inspection operations are some of the value-added operations of The Company. The operation efficiency of the procurement center, quality inspection center, maintenance center, and storage center is not high. Raw material processing centers, semi-finished product centers, and packaging centers are highly efficient. In 2022, the net profit of Company S will be -1.7592 million yuan, and the total profit will be -2.7418 million yuan. Management and selling expenses are exceeding the budget. The probability of financial risk was 82.35% and 88.46%, respectively. The company is facing serious financial risks due to its declining corporate sales, solvency, difficult capital turnover, and severe financial risks.
Dynamic Analysis and Forecasting of Employment Market Trends of College Graduates under Big Data Environment
Authors: Li Mu , Xie Zhiyong
Published: August 2024

Predictive analysis of the job market before the employment of college graduates provides a direction to improve the quality of college students’ employment and better articulates the enrollment, training, and employment of colleges and universities. This paper utilizes the missing value filling algorithm and the ADASYN algorithm to preprocess the collected data related to the job market and graduates. Based on the HMIGW algorithm, a data feature selection method is proposed, and the feature collection is obtained after the feature selection process of each data series. Then, the XGBoost algorithm is used to predict and analyze the employment market trend. It was found that the accuracy of the model in analyzing and predicting the dynamics of employment market trends among college graduates reached 97.105% on average. After predicting the employment trend of graduates of a certain major in college S, it is found that the proportion of graduates who enter the Internet industry to work between 2020 and 2030 is relatively high, and the overall employment change trend of the agriculture and forestry job market is large. This paper can provide college graduates with a reference for choosing a career, and the predicted employment market trend can provide support for the development of employment guidance in colleges and universities. In future research, we can consider expanding the scope of the study and optimizing the prediction model.
Research on Intelligent Inspection Method of Prestressed Bridge Engineering Based on Machine Learning
Authors: Liang Peng , Zhang Liming , Zhuo Xiaoli , Mao Jing
Published: August 2024

As an important engineering structure for national and regional transportation infrastructure construction, bridges have important economic, social, and strategic significance. The research centers on the intelligent detection of prestressed bridge engineering, on the one hand, combined with the finite element analysis of the prestressed beam modal in the obtained area, based on LS-SVM to construct the intelligent detection method of effective prestressing of bridge engineering. On the other hand, the ResNet neural network is selected for feature extraction of bridge characteristic parameters, and LSTM is combined to complete the fusion of bridge spatiotemporal features to construct an intelligent detection model of bridge technical condition based on the ResNet-LSTM joint network. The detection performance of the two methods is evaluated through simulation and experimental tests on the dataset. The analysis shows that the maximum error for effective prestress detection of the LS-SVM model is 15.584%, which is 6.121% lower than that of the BP neural network model. The technical condition detection error of less than 0.1 is basically greater than 90% in both discontinuous and continuous time-span detection. It has been verified that the LS-SVM model has a better identification effect on effective prestressing, while the ResNet-LSTM model has a high accuracy prediction effect on the technical condition of the bridge.
Research on Pedestrian Re-identification Techniques in Dynamic Scenes Using Convolutional Neural Networks
Authors: Liu Manjun
Published: August 2024

Pedestrian re-recognition is the process of retrieving pedestrians with the same identity information as a given pedestrian from a cross-domain view candidate image dataset or a non-overlapping surveillance video sequence using computer vision techniques. The goal of this paper is to use convolutional neural network techniques to re-recognize pedestrians in dynamic scenes. Through the use of convolutional calculations, activation function selection, and other techniques, this paper provides basic technical support for the research of pedestrian re-recognition technology. A Siamese network is obtained by applying convolutional neural networks to pedestrian recognition as the main discriminative model for subsequent research. In order to effectively solve the problem of occlusion, illumination, and other possible interference with the recognition effect in dynamic scenes, this paper adopts the image enhancement method of random erasure and introduces the attention mechanism to improve the robustness of the model to the occlusion of pedestrian images. Through the examination of the model on the dataset of the average accuracy mean (MAP) and other indicators and the actual application in the construction site and other scenes, it is proved that the pedestrian re-recognition model used in this paper has a more significant recognition performance compared with other models, and can still maintain more than 80% of the accuracy rate under the application of dynamic and complex scenes.
Construction of Cloud Computing Resource Allocation and Ideological and Political Education Platform Based on the Theme of Party History and Party Building
Authors: Liu Zhicai , Liu Ningning
Published: August 2024

Party history and party-building education is an important carrier of party-building work in colleges and universities, and it is also an important content of cultivating and promoting socialist core values while party-building work is an effective way and the main hand of ideological and political work of students in colleges and universities. This paper takes the large amount of data generated in the process of ideological and political education resource allocation on the theme of party history and party building as the research object and builds a mapping relationship between tasks and ideological and political education resources according to certain strategies based on cloud computing resource allocation. A platform for allocating resources for ideological and political education has been designed and developed, which is based on a time series clustering algorithm and constructs resource overviews, sequence collections, and clustering modules. The functions of student behavior data collection and overview, feature calculation and selection, behavior time series clustering, and group feature analysis are realized, which enhances the efficiency of the ideological and political education resource platform. Functional and performance tests of the platform were completed, and the average system response times of the three modules were 75.05, 80.39, and 69.95ms, which were able to meet the actual application standards. With the help of the platform, the behavioral record data of 6,927 platform users were evaluated and practiced, and the user group classification and group characterization were carried out according to the output of the platform, which provided scientific suggestions for the distribution of ideological and political teaching resource services.
Milrinone in pediatric heart failure
Authors: Aleksandrovich Yu. S. , Agafonova A. V. , Pshenisnov K. V.
Published: August 2024

Introduction. Heart failure is one of the most dangerous life-threatening conditions in children, requiring complex pathogenetically based treatment aimed at increasing cardiac output.

The objective was to analyze publications devoted to assessing the effectiveness and safety of the use of milrinone in critical conditions in children.

Materials and methods. The analysis included 60 publications from the PubMed and e-library abstract databases for the period from 2018 to 2023. The search was carried out using the keywords: milrinone, pediatric, neonate, heart failure, acute renal injury, and outcome. After the initial review of the abstracts, 18 articles were excluded from the analysis, if full text was not available or if they did not contain relevant information from a clinical perspective.

Results. A significant part of the work is devoted to a comparative analysis of the therapeutic effects of milrinone and levosimendan in the early postoperative period after cardiac surgery in children, the authors of which in most cases believe that these drugs are comparable both in terms of treatment outcomes and side effects. At the same time, the results of a number of studies indicate significant advantages of milrinone, the use of which helps to reduce the level of lactate in the blood, is not accompanied by hypervolemia of the pulmonary circulation, helps to maintain optimal values of average blood pressure and reduce the duration of treatment in the ICU. On the other hand, there is evidence that the use of milrinone in the perioperative period may be associated with an increased need for additional fluid supplementation and an increase in the frequency of deaths after surgery in young children with complex congenital heart defects (CHD). Conclusion. Milrinone is the drug of choice for the treatment of acute heart failure in children with CHD in the early postoperative period and in newborns with persistent pulmonary hypertension.
Caracterização estrutural dos transportadores abc de molibdato e oligopeptídeos em Mycobacterium tuberculosis usando bioinformática
Authors: Évelyn Briotto Lima Bruna , Stênico Zanuni Luiza , Sampaio Cremonesi Aline
Published: August 2024

Mycobacterium tuberculosis, patógeno da tuberculose, desafia a saúde pública devido à resistência a antibióticos e alta mortalidade associada., tornando necessária a busca constante por novos antimicrobianos. Um potencial alvo terapêutico são os transportadores ABC de molibdato e oligopeptídeos, uma vez que desempenham papel crucial na sobrevivência da bactéria ao importar esses nutrientes essenciais para o interior celular da mesma, sendo então o objetivo deste trabalho identificar e caracteriza estes transportadores em M. tuberculosis a partir de análises in silico. Foi identificado um sistema completo de transportadores do tipo ABC para cada cada um dos nutrientes estudados, compostos por SBPs, permeases e ATPases, organizados em óperons únicos no genoma. Estruturalmente, SBPs apresentaram regiões de peptídeo sinal indicando funções extracelulares, enquanto permeases mostraram seis regiões transmembranares, sugerindo localização nas membranas. As ATPases foram identificadas pela presença do domínio AAA, característico. As SBPs, ModA e OppA, apresentaram modelos das estruturas tridimensionais conservadas, sendo classificadas como SBP do tipo II e a análise de sequências identificou aminoácidos conservados nos bolsões de ligação das SBPs, sugerindo interações com substratos. Esses resultados destacam potenciais alvos para terapias antimicrobianas, fornecendo dados para investigações futuras quanto ao mecanismo de interação entre as SBPs e os substratos transportados por elas.
Geopolitics of Gili Trawangan: Identity, Boundaries, and Access to Resources and Modernisation
Authors: Rachman Muhammad Fauzi Abdul , Yani Yanyan Mochamad
Published: August 2024

The use of Gili Trawangan, a small island located northwest of Lombok, has changed from a place where fishers from Sulawesi anchored their boats to become a tourist spot visited by tourists from various regions and countries, particularly for SCUBA diving. From a geopolitical point of view, the fishermen, who were the first settlers of the island, now lose their control of the territory and find it difficult to access resources, culture and economy. Investors from outside the island and abroad have controlled this island geopolitically and create their own geopolitical identity. They use Western identities and cultures to dominate geopolitics in the strategic area on the island as the market wants. These are findings derived from a six-month field study on Gili Trawangan and direct interviews with early settlers and community leaders. Finally, the primary data was analysed using the geopolitical concepts of borders and identities.
Hubungan Indonesia dan Australia dalam Perspektif Hubungan Islam dan Barat: Benturan Peradaban atau Kerjasama?
Authors: Damayanti Rizki
Published: August 2024

Among the relations between two countries which are seen as representing the relationship between Islam and the West is the relationship between Indonesia and Australia, where the relationship between these two close neighboring countries is often clashed with perceptions of the relationship between Islam and the West. In this case, Huntington's thesis, states the Clash of Civilizations, is often still the basis for strengthening the view of many parties that Islamic and Western civilization will never meet in harmony. Contrary to Huntington's thesis, Bassam Tibi put forward an argument regarding the Inter-Civilizational Dialogue which allows opportunities for cooperation between Islam and the West. This article is library research using qualitative methods. Data collection techniques were carried out through document review and literature study. This article finds that Indonesia-Australia relations have complex dynamics, where clashes of civilizations, the phenomenon of Islamophobia, as well as civilizational dialogue, or even cooperation are possible in the course of Indonesia's relations with Australia.
Economic Diplomacy through the Development of Nickel Smelters and Battery Plants in Indonesia: Obi Island Case Study
Authors: Juned Mansur
Published: August 2024

There is a high demand for electric batteries worldwide, driven by a growing movement towards environmentally friendly electric cars. As the country with the largest nickel producer, Indonesia can develop the technology of making raw nickel into raw materials for the world's electric batteries that will be supplied until 2040. The large number of these has an impact on the proliferation of foreign investment in Indonesia. This article will discuss the success of the Indonesian government in restoring the post-Covid-19 economy through international forums and bilateral cooperation, especially with China. The analysis of this theme uses qualitative methods to explore the success and impact further. Then, the concepts of economic diplomacy and state economic security become analytical tools to strengthen the author's argument regarding the long-term effect of too much foreign investment in Indonesia, especially cooperation with the Nickel Smelter owned by China.
Business Strategy of Multinational Trading Firm in Agriculture Sector: Case Study of Archer Daniels Midland Amid Pandemic and Geopolitical Conflict
Authors: Yusa Muchammad Yustian , Aisyah Sari Mutiara , Fadhlia Maudy Noor
Published: August 2024

This research investigates how agricultural commodity trading companies formulate business strategies in response to pandemics and geopolitical conflicts. Using ADM (Archer Daniels Midland Company) as a case study, the study explores three key strategies: supply chain diversification, new market expansion, and risk mitigation. The research method involved analyzing ADM's annual reports and strategic actions during the COVID-19 pandemic and ongoing geopolitical conflicts. The theoretical framework is based on the concept of economics of commodity trading firms (Pirrong, 2014, 2015) and strategic management. The findings reveal that ADM effectively diversified its supply chain by securing raw materials from multiple global sources and investing in joint ventures and strategic partnerships. The company expanded into new markets through acquisitions and collaborations, thus broadening its business portfolio beyond agricultural commodities. Additionally, ADM's enterprise risk management (ERM) program helped mitigate risks related to operational efficiency, cyber-attacks, and geopolitical disruptions. The study concludes that ADM's comprehensive strategies not only minimized the adverse effects of external shocks but also positioned the company for sustainable growth. These strategies can serve as benchmarks for other companies in the agricultural sector to enhance resilience and contribute to sustainable development goals.
Circuitscape: A Tool for Landscape Ecology
Authors: Shah Viral B. , McRae Brad
Published: August 2024

The modeling of ecological connectivity across networks and landscapes is an active research area that spans the disciplines of ecology, conservation, and population genetics. Recently, concepts and algorithms from electrical circuit theory have been adapted to address these problems. The approach is based on linkages between circuit and random walk theories, and has several advantages over previous analytic approaches, including incorporation of multiple dispersal pathways into analyses. Here we describe Circuitscape, a computational tool developed for modeling landscape connectivity using circuit theory. Our Python implementation can quickly solve networks with millions of nodes, or landscapes with millions of raster cells.
High-Performance Code Generation Using CorePy
Authors: Friedley Andrew , Mueller Christopher , Lumsdaine Andrew
Published: August 2024

Although Python is well-known for its ease of use, it lacks the performance that is often necessary for numerical applications. As a result, libraries like NumPy and SciPy implement their core operations in C for better performance. CorePy represents an alternative approach in which an assembly language is embedded in Python, allowing direct access to the low-level processor architecture. We present the CoreFunc framework, which utilizes CorePy to provide an environment for applying element-wise arithmetic operations (such as addition) to arrays and achieving high performance while doing so. To evaluate the framework, we develop and experiment with several ufunc operations of varying complexity. Our results show that CoreFunc is an excellent tool for accelerating NumPy-based applications.
Multiprocess System for Virtual Instruments in Python
Authors: D'Urso Brian
Published: August 2024

Programs written for controlling laboratory equipment and interfacing numerical calculations share the need for a simple graphical user interface (GUI) frontend and a multithreaded or multiprocess structure to allow control and data display to remain usable while other actions are performed. We introduce Pythics, a system for running “virtual instruments”, which are simple programs typically used for data acquisition and analysis. Pythics provides a simple means of creating a virtual instrument and customizing its appearance and functionality without the need for toolkit specific knowledge. It utilizes a robust, multiprocess structure which separates the GUI and the back end of each instrument to allow for effective usage of system resources without sacrificing functionality.
Exploring Network Structure, Dynamics, and Function using NetworkX
Authors: Hagberg Aric A. , Schult Daniel A. , Swart Pieter J.
Published: August 2024

NetworkX is a Python language package for exploration and analysis of networks and network algorithms. The core package provides data structures for representing many types of networks, or graphs, including simple graphs, directed graphs, and graphs with parallel edges and self-loops. The nodes in NetworkX graphs can be any (hashable) Python object and edges can contain arbitrary data; this flexibility makes NetworkX ideal for representing networks found in many different scientific fields. In addition to the basic data structures many graph algorithms are implemented for calculating network properties and structure measures: shortest paths, betweenness centrality, clustering, and degree distribution and many more. NetworkX can read and write various graph formats for easy exchange with existing data, and provides generators for many classic graphs and popular graph models, such as the Erdos-Renyi, Small World, and Barabasi-Albert models. The ease-of-use and flexibility of the Python programming language together with connection to the SciPy tools make NetworkX a powerful tool for scientific computations. We discuss some of our recent work studying synchronization of coupled oscillators to demonstrate how NetworkX enables research in the field of computational networks.
PMI - Parallel Method Invocation
Authors: Lenz Olaf
Published: August 2024

The Python module pmi (Parallel Method Invocation) is
presented. It allows users to write simple, non-parallel Python scripts that use functions and classes that are executed in parallel.
The module is well suited to be employed by other modules and packages that want to provide functions that are executed in parallel. The user of such a module does not have to write a parallel script, but can still profit from parallel execution.
Análisis del impacto del uso de concreto elaborado a partir de residuos de construcción y demolición (RDC) en la seguridad y durabilidad de viviendas de 2 pisos en su diseño estructural
Authors: Maldonado-Bernal J. S. , García-Solano J. N. , Lozano-Pérez E. A.
Published: August 2024

En la industria de la construcción representa un gran desafío el uso de residuos de construcción y demolición (RCD) por agregado grueso en los concretos estructurales. La investigación tiene como objetivo evaluar la seguridad y durabilidad, a partir de un análisis estructural comparativo entre índices relacionados directamente proporcional (resistencia a la compresión y % de acero) tras ensayos a compresión basados en un diseño de mezcla de concreto convencional con el método ACI-6318 proporcionando variaciones en la relación a/c para el modificado ya que, el RCD es variable diferenciadora en el asentamiento por lo que se reemplazó porcentualmente el agregado grueso (¾”) en pesos de 5%, 10% y 15% variando a su vez el tipo; ladrillo #4, estructural y adoquín, fallados a los 7, 14 y 28 días después de ser desencofrados resultando102 especímenes en total.Los resultados definen la relación efectiva que da cumplimiento a factores importantes como requisitos mínimos del Reglamento Colombiano de Construcción Sismo Resistente (NSR-10 - título B), la comparación entre el modelo de una vivienda de 2 pisos cumplen mecánicamente en relación con la seguridad y durabilidad estructural pues, proporciona un aprovechamiento significativo el ladrillo estructural en porcentaje menor al 10%.
Hidrógeno verde revisión del estado del arte de las tecnologías de generación para la descarbonización del sector energético
Authors: Cuellar Pérez Yohan Gerardo , Bermúdez Santaella José Ricardo , Herrea Susa Daniel Andrey
Published: August 2024

La creciente preocupación por los problemas ambientales y el agotamiento de los combustibles fósiles ha generado un interés hacia el desarrollo de tecnologías que nos permitan producir electricidad sin necesidad de contaminar el medio ambiente. El hidrógeno en las últimas décadas se ha convertido en el principal candidato para reemplazar a los combustibles fósiles, teniendo la posibilidad de poder utilizarse como combustible primario para quemarse en motores de combustión, o como vector energético para la producción de energía por medio de las pilas de combustible, convirtiéndose en un combustible atractivo por su alta densidad energética y que no emite ningún tipo de contaminación. En la actualidad, el hidrógeno no se produce con fines energéticos, sino industriales, por ello, el propósito de este artículo es conocer las formas predominantes de producción de hidrógeno, que usan combustibles fósiles como materia prima y estudiar las nuevas tecnologías desarrolladas para obtener hidrógeno descarbonizado destinado al sector energético, investigando tecnologías conocidas como la electrólisis llegando a comparar el funcionamiento de los tipos de electrólisis existentes y describir otras formas novedosas como las que componen la producción de hidrógeno biológico o bio-hidrógeno, llegando a analizar diversas investigaciones con el objetivo de exponer los resultados en los métodos fermentativos, el uso de microalgas y la celda de electrólisis microbiana, exponiendo los principales desafíos y analizando las características y el estado de investigación de estas formas de producción.
Vanaprastha Tourism
Authors: Suyasa I Gede Wiwin , Octafian Ray , Sugiarto  , Priyanto Sony Heru
Published: August 2024

In the ever-evolving landscape of global tourism, destinations rich in cultural heritage face the dual challenges of maintaining their unique cultural identities while ensuring economic viability. Bali, known for its holistic traditions, spirituality, and natural beauty, epitomises this balance. Cultural tourism is crucial in preserving and promoting a region's unique heritage, ensuring the sustainability of cultural practices and traditions amidst various challenges. Resilience in cultural tourism empowers communities to protect their heritage from dilution or commodification, ensuring tourism development does not compromise cultural authenticity. However, scholars highlight the pervasive influence of commercialisation in recent tourism practices, which has subtly infiltrated Bali's tourism industry, leading to a shift from rich cultural heritage towards profit-driven ventures. Consequently, Bali's cultural tourism is starting to lose its prominence and relevance. This study aimed to explore and propose a sustainable and holistic form of tourism that can enhance the resilience of Bali's cultural tourism by examining the concept of Vanaprastha Tourism and its relevance to tourism and assessing the potential benefits of implementing Vanaprastha tourism in Bali. The research findings highlight the potential benefits of Vanaprastha tourism, including environmental conservation, cultural preservation, economic diversification, community empowerment, and enhanced well-being for both the host and visitors. The study highlights the importance of blending local wisdom, immersing in the culture, and practising sustainable methods in tourism, as shown by the Vanaprastha Tourism concept. This approach builds a new foundation, strengthens Bali's cultural tourism, and preserves its vibrant and authentic nature. Ultimately, it helps to support the island's economy, society, and environment in the long term.
Kajian Produksi Kopi Arabika (Coffea arabica) pada Berbagai Ketinggian Tempat di Kabupaten Temanggung
Authors: Fiqhry Aqly Tyasna , Santoso Tri Nugraha Budi , Ardiani Fani
Published: August 2024

Several factors, including the less-than-optimal altitude of Arabica coffee planting influence the low productivity of Arabica coffee in Temanggung Regency. The lack of rejuvenation of production plants means that old coffee plants have low productivity; apart from these two factors, farmers do not have good plant management skills. This research further examines the influence of altitude on Arabica coffee production. This research was carried out in Temanggung Regency, with the sub-districts that were the sample for this research being Ngadirejo District, with an altitude range of 900-1150 m asl, Parakan District, with an altitude range of 1150-1400 m asl, and Kledung District with an altitude range of more than 1400 m asl. The sampling method employed in this study is a purposive sampling technique; the researcher directly determines the location and source of research information. A total of 28 participants responded to this study, with an assessment sample taken of 5% of the population of Arabica coffee plantations that bear fruit. The analysis used the linear regression method of a fixed variable, namely height, and independent variables, namely production, productivity, and evaluation, with a significance level of 5%. The research results show that altitude does influence productivity. If altitude increases, productivity will also increase.