bluuebunny/crossref_metadata_2025 huggingface dataset:
Implementation of presence detection with Haar cascade and local binary patterns histograms
Authors:   EIDIA, Euromed Research Center, Euro-Med University (UEMF), Fez, Morocco, Elkari B. , Ourabah L. ,   EIDIA, Euromed Research Center, Euro-Med University (UEMF), Fez, Morocco, Sekkat H. ,   EIDIA, Euromed Research Center, Euro-Med University (UEMF), Fez, Morocco, Farah G. ,   EIDIA, Euromed Research Center, Euro-Med University (UEMF), Fez, Morocco, Soufi I. ,   EIDIA, Euromed Research Center, Euro-Med University (UEMF), Fez, Morocco, Baddou A. ,   EIDIA, Euromed Research Center, Euro-Med University (UEMF), Fez, Morocco, Hafidi N. ,   EIDIA, Euromed Research Center, Euro-Med University (UEMF), Fez, Morocco, El Moutaouakil K. ,   Engineering Science Laboratory, Polydisciplinary Faculty of Taza, Sidi Mohamed Ben Abdellah University of Fez, Morocco
Published: December 2024

School truancy is a significant problem that affects the educational environment and student achievement. This article presents a project to develop an automated absence detection system for classrooms using Haar Cascade and Local Binary Patterns Histogram (LBHP) techniques. The study begins by collecting a large dataset of classroom images, including various lighting scenarios and conditions. Haar Cascade is used to detect human faces in images, followed by LBHP feature extraction for each detected face. Experimental results demonstrate the effectiveness of the proposed system, achieving a high accuracy rate. This project contributes to the field of educational technology by providing a practical solution for monitoring classroom attendance. The integration of Haar Cascade and LBHP techniques provides robust and efficient performance in absence detection.
Effect of nanoparticle shape on natural convection in hybrid nanofluid inside square cavity
Authors:   Department of Mathematics and Statistics, Universiti Putra Malaysia, Mohd Ali Hanafiah M. A. , Ab Ghani A. ,   Department of Mathematics and Statistics, Universiti Putra Malaysia, Hafidzuddin M. E. H. ,   Department of Mathematics and Statistics, Universiti Putra Malaysia; Centre for Foundation Studies in Science of Universiti Putra Malaysia, Md Arifin N. ,   Department of Mathematics and Statistics, Universiti Putra Malaysia, Mohamad Som M. N. ,   Department of Mathematics and Statistics, Universiti Putra Malaysia; Centre for Foundation Studies in Science of Universiti Putra Malaysia
Published: December 2024

A numerical study of natural convection in a square cavity with Al2O3-Cu/water hybrid nanofluid, focusing on the effects of nanoparticle shape, is conducted. The governing partial differential equations and corresponding boundary conditions are transformed into nondimensional forms and solved using the finite element method. The flow and heat transfer characteristics are graphically illustrated and explained for different nanoparticle volume fractions and shapes, with corresponding average Nusselt numbers. It has been observed that a variety of nanoparticle shapes effect, as the empirical nanoparticle shape factor m increases, the total surface area of the nanoparticle increases. This causes more heat can be dissipated and in turn, produces a higher heat transfer rate.
Advanced YOLO models for real-time detection of tomato leaf diseases
Authors:   LISTI, National School of Applied Sciences, Ibn Zohr University, Agadir, Morocco, Bellout A. , Zarboubi M. ,   LISAD, National School of Applied Sciences, Ibn Zohr University, Agadir, Morocco, Dliou A. ,   LISTI, National School of Applied Sciences, Ibn Zohr University, Agadir, Morocco; IMIS, Faculty of Applied Sciences, Ibn Zohr University, Agadir, Morocco, Latif R. ,   LISTI, National School of Applied Sciences, Ibn Zohr University, Agadir, Morocco, Saddik A. ,   LISTI, National School of Applied Sciences, Ibn Zohr University, Agadir, Morocco; IMIS, Faculty of Applied Sciences, Ibn Zohr University, Agadir, Morocco
Published: December 2024

The increasing focus on smart agriculture in the last decade can be attributed to various factors, including the adverse effects of climate change, frequent extreme weather events, increasing population, the necessity for food security, and the scarcity of natural resources. The government of Morocco adopts preventative measures to combat plant illnesses, specifically focusing on tomatoes. Tomatoes are widely acknowledged as one of the most important vegetable crops, but they are highly vulnerable to several diseases that significantly decrease their productivity. Deep learning algorithms are increasingly being used to identify tomato leaf diseases. In this study, we thoroughly examine different deep learning methodologies, with a specific emphasis on Convolutional Neural Network (CNN) models. Our study aims at identifying the optimal approach for detecting diseases that impact tomato leaves by combining two publicly accessible datasets, PlantDoc and PlantVillage. We focused on finding a strategy that is effective and efficient in accurately identifying these diseases. This study investigates the feasibility of employing state-of-the-art deep learning methods that are based on YOLO models. We have chosen five models, specifically YOLOv5, YOLOX, YOLOv7, YOLOv8, and YOLO-NAS, which belong to the category of "One-stage detectors." These models are widely recognized for their rapid inference speed and outstanding accuracy. According to the experimental results, YOLOv5 has the highest level of accuracy, reaching a mean average precision (mAP) of 93.1% after adjusting the hyperparameters. The final model is developed as a smartphone application to improve user-friendliness.
Pembangunan Sistem Informasi Akademik Berbasis Website (Studi Kasus: Sekolah Menengah Pertama Negeri 8 Balikpapan)
Authors: Sukaca Ewaldo Jeremi , Irya Wisnubhadra  , Patricia Ardanari
Published: December 2024

In the digitalization era, technological advancements have transformed societal behavior, including in the education sector. The use of website-based technology for academic information systems is crucial to provide real-time access to academic information for students, teachers, and parents. This research aims to design and implement a website-based academic information system at SMPN 8 Balikpapan. The system is designed to help teachers manage student grades and attendance while enabling parents to monitor their children's academic progress. The research methodology includes needs analysis, system design, implementation, and testing. The results indicate that the website-based academic information system was successfully implemented according to the requirements. This system improves transparency, efficiency, and accessibility of academic information for users. Academic data can be accessed in realtime by teachers, students, and parents, allowing for better and more integrated management.
 
Di era digitalisasi, perkembangan teknologi telah mengubah perilaku masyarakat, termasuk dalam dunia pendidikan. Penggunaan teknologi berbasis web dalam sistem informasi akademik sangat diperlukan untuk memudahkan akses informasi akademik secara real-time oleh siswa, guru, dan orang tua. Penelitian ini bertujuan untuk merancang dan mengimplementasikan sistem informasi akademik berbasis web di SMPN 8 Balikpapan. Sistem ini dirancang untuk membantu guru dalam mengelola nilai dan presensi siswa, serta memudahkan orang tua dalam memantau perkembangan akademik anak-anak mereka. Metode penelitian meliputi analisis kebutuhan, perancangan, implementasi, dan pengujian sistem. Hasil dari penelitian ini menunjukkan bahwa sistem informasi akademik berbasis web berhasil diimplementasikan sesuai kebutuhan. Sistem ini meningkatkan transparansi, efisiensi, dan aksesibilitas informasi akademik bagi para pengguna. Informasi akademik dapat diakses secara real-time oleh guru, siswa, dan orang tua, sehingga memungkinkan manajemen yang lebih baik dan terintegrasi.
Pengaruh Akuntabilitas Laporan Keuangan Pemerintah Daerah (LKPD) dan Kinerja Keuangan Pemerintah Daerah terhadap Tingkat Korupsi Pemerintah Daerah di Indonesia
Authors: Sapitri Welia , Arza Fefri Indra
Published: December 2024

This study aims to examine the effect of accountability of local government financial reports in the form of audit opinion by BPK and local government financial performance (independence ratio, activity ratio, and growth ratio) on the level of corruption of local governments in Indonesia. This study uses a sample of financial reports of Regency / City Regional Governments in Indonesia that have been audited by BPK in 2020 and the KPK Annual Report in 2020. Based on the purposive sampling method, the total research sample was 507 financial reports of all Regency / City Regional Governments in Indonesia. Hypothesis testing in this study used logistic regression techniques. This study shows that audit opinion, independence ratio, activity ratio, and growth ratio have no significant effect on the level of corruption in Indonesia.
Children’s Character Education in Axiological Perspective: Tri Center Education Ki Hajar Dewantara
Authors: Zulfiani Mei , Hidayat Fahri
Published: December 2024

Education is the path to change. The changes in question are not only changes in knowledge, but also changes in various things such as behavior, attitudes, and thinking patterns. Character education is one of the things that is currently very emphasized due to the declining morale of the prospective successors of this nation. Ki Hadjar Dewantara as one of the educational figures who has a lot of thoughts also has his own views related to children's character education. This study aims to analyze how the relevance of ki Hajar Dewantara thought with the current conditions. The results of this study is the role of the environment is very influential in the development of children's character, where the environment can form the character of children such as leadership, mutual help, and have responsibility.
Внедрение в станцию кузовного ремонта легковых автомобилей оборудования для электронного замера геометрии кузова.
Authors: Гайнанов Марсель
Published: December 2024

В статье обоснована актуальность кузовного ремонта легковых автомобилей, описан принцип работы системы электронного замера геометрии кузова при его ремонте. Содержится аналитическая часть - анализ рынка. Выделены преимущества электронного замера геометрии.
Green Energy Solutions for EV Charging: A Comprehensive Review of Solar-Powered Stations
Authors: Kumar Sandeep , Bhargava Ashish
Published: December 2024

Solar power EV charging stations is a great move in the right direction of sustainability in transport and energy sources. In this review, integration of renewable sources of energy, for instance solar photovoltaics (PV) into electric vehicle (EV) infrastructure will be reviewed including challenges and opportunities with regard to implementation. It assesses the key components, such as solar PV panels, inverters, energy storage systems, and energy management systems, for their roles in optimizing system efficiency, reliability, and scalability. While technical challenges persist in the form of intermittent energy sources, grid instability, and lack of standardization, advances in energy storage, AI-driven energy management, and modular designs offer significant opportunities. Economic barriers include high costs of initial investments, which the long-term saving, incentives, and innovative designs offset as they reduce the risks of investing. Strategies for policy driven are critical in standardization of EV infrastructure and promotion of renewable energy. In conclusion, innovations such as integration of V2G, wireless charging, and the decentralized energy models are seen as future approaches to optimal utilization of renewable energy in EV charging. Solar-powered EV charging stations, despite the existing barriers, hold transformative potential for reducing carbon emissions and enhancing energy security, paving the way for a greener transportation ecosystem.
Optimizing Solar Energy Use in Electric Vehicle Charging for Sustainable Transport
Authors: Kumar Sandeep , Bhargava Ashish
Published: December 2024

A sustainable transportation goal is the integration of renewable energy into electric vehicle charging stations. This work aims at optimizing solar powered EV charging systems by means of novel techniques, which will lead to improving power flow management and ensuring system stability with Power Allocation Grey Wolf Optimization (PA_GWO). The effectiveness of the PA_GWO algorithm was evaluated under varying solar irradiation conditions with and without the optimization algorithm, on key performance metrics that include power quality, DC link voltage stability, and energy utilization. A fuel cell system was integrated into the system as an auxiliary source of energy to ensure the system runs continuously and offers consistent power supply during low solar irradiation periods. It improved the operational efficiency and management of power by integrating the fuel cell and PA_GWO. MATLAB/Simulink tools were used in modeling, simulation, and performance analysis for overall evaluation of the system's behavior and techniques for optimization. The results were positive and thus confirm better performance with potential to offer improved efficiency and reliability and more sustainable solar-based EV charging stations as solutions toward a shift in the entire world toward green transportation and renewable energy.
Znovu o rovnosti
Authors:   University of West Bohemia in Pilsen, Czech Republic, Hromada Miroslav
Published: December 2024

The contribution aims to examine the latest trends in the field of non-discrimination and equal treatment orders in employment relations. As is already traditional, news comes to national law from the European Union. It is therefore interesting to observe what goals the European regulation pursues and how these are prescribed in national law.
Трансформація іміджу України у масмедійному просторі Королівства Іспанія в період «гібридної» фази російсько-української війни (2014-лютий 2022 рр.)
Authors: Ілюк Тетяна , Гетманенко Катерина
Published: December 2024

У статті проаналізовано імідж України на шпальтах провідних газет Королівства Іспанія в період «гібридної» фази війни Росії проти України. Досліджуються характеристики медіаобразу нашої держави з 2014 року по лютий 2022 року та простежено їх трансформацію. Визначено чинники, що впливали на формування іміджу України, та доведено, що війна стала каталізуючим фактором, що підвищив впізнаваність, привернувши увагу всієї світової спільноти і змінивши розуміння нас світом.
Політика Євросоюзу і Чеської Республіки щодо нелегальної міграції: порівняльний аналіз
Authors: Токар Петро , Козоровська Ірина
Published: December 2024

З огляду на мільйони біженців з України через російсько-українську війну, масштабна проблема нелегальної міграції у Європі стала однією з найважливіших та відчутних серед соціально-політичних викликів нашого часу. За оцінками експертів та компетентних органів країн - членів ЄС, щороку сотні тисяч нелегальних мігрантів намагаються проникнути на територію Європи, додатково створюючи величезне навантаження на приймаючі країни. Ця ситуація призводить до значних соціально-економічних та політичних наслідків для ЄС та окремих його держав-членів. Тому особливо важливими є питання безпеки, соціальної інтеграції та економічної стабільності найперше для Чехії, як однієї з країн-членів ЄС, яка чи не найбільше стикається з викликами нелегальної міграції, проте має свої специфічні підходи до вирішення цієї проблеми. Вивчення і порівняльний аналіз політики ЄС та ЧР щодо нелегальної міграції є важливим і актуальним для розуміння, як ці дві системи працюють разом та окремо у боротьбі з нелегальною міграцією.
Статтю присвячено аналізу актуальної проблеми нелегальної міграції та її впливу на соціально-економічну ситуацію як в ЄС загалом, так і в Чехії зокрема. Розглянуто успішні та негативні аспекти політики боротьби з нелегальною міграцією, економічні, соціальні та культурні наслідки цих процесів. Підкреслюється необхідність розроблення та реалізації ефективних стратегій для запобігання нелегальній міграції та забезпечення соціальної стабільності. Акцентовано на можливих рішеннях та стратегіях, спрямованих на розв’язання міграційної кризи, що відповідатимуть національним інтересам як ЄС, так і ЧР, з метою забезпечення їх економічного розвитку та соціальної гармонії.
Потенціал територіальних громад Закарпаття: емпіричний аналіз ефективності використання
Authors: Гапак Наталія , Бойко Ярослав
Published: December 2024

Здійснено оцінку потенціалу територіальних громад Закарпаття на основі аналізу результатів, проведених у рамках дослідження соціологічних інтерв’ю та анкетування з головами територіальних громад, за результатами якої до найпріоритетніших видів потенціалу громад віднесено природний, інвестиційний, підприємницький, інфраструктурний. Науково-інтелектуальний та інноваційний (залежать від наявності та розвитку інновацій, науки, тобто економіки знань), а також  природний потенціал ТГ використовуються громадами найменш ефективно. Встановлено, що найважливішими в плані розвитку потенціалу громад є фінансовий, виробничий та інфраструктурний чинники.
An examination of public perspectives on cycle infrastructure projects: An Irish case study
Authors: Butt Muhammad Huzaifa , Higgins Ross
Published: December 2024

Increasing levels of everyday cycling has many benefits for both individuals and for cities. Reduced traffic congestion, improved air quality and safer spaces for all vulnerable road users are among the significant benefits for urban developments. Despite this, public opposition to cycling infrastructure is common, particularly when it involves reprioritising road space for cycles instead of vehicles. The purpose of the research was to examine various stakeholders’ perspectives on proposed cycle infrastructure projects. This study utilised an innovative data collection approach through detailed content analysis of 322 public consultation submissions on a proposed active travel scheme in Limerick City, Ireland. By categorising submissions into support, opposition, and proposals, the study reveals the nuanced public perceptions that influence behavioural adaptation and acceptance of sustainable transport infrastructure. Supportive submissions, which outnumbered opposition-related submissions by approximately 2:1, emphasised the need for dedicated cycling infrastructure, enhanced cyclist safety, and potential improvements in environmental conditions. In contrast, opposition submissions focused on concerns over car parking removal, decreased accessibility for residents, and safety issues for vulnerable populations, particularly the elderly. Proposal submissions suggested design modifications, including enhanced safety features, provisions for convenient car parking, and alternative cycle routes. This paper highlights the value of structured public consultation data in uncovering behavioural determinants and barriers to cycling infrastructure adoption, offering policymakers essential insights into managing public opposition and fostering support. The methodology demonstrates how qualitative data from consultations can be effectively used to inform policy by capturing community-specific needs and enhancing the design of sustainable urban mobility systems. These findings underscore the need for innovative, inclusive data collection methods that reveal public sentiment, facilitating evidence-based transport policies that support climate-neutral mobility.
The role of employee competence in shaping public satisfaction: Examining service quality as a mediating factor
Authors: Mulyawan Budy , Kinanthi Sabrina Lintang , Mastur Anida Sri Rahayu , Febrianto Arief , Astuti Rita Kusuma
Published: December 2024

In immigration services, it is essential to provide good service to the public, in line with the principles of public service. However, in reality, many people still feel that they have not received optimal public service. This study addresses the issue of whether there is a direct and indirect influence of employee competence on citizen satisfaction, with the indirect influence using service quality as a mediating variable. This research employs a quantitative associative method with a population of applicants at the Surakarta Class I Checkpoint Immigration Office over one month, totaling 6236 individuals. A sample of 259 people was obtained using the Isaac and Michael table. Data collection was conducted using a questionnaire distributed via Google Forms to the applicants. The results were then analyzed using descriptive analysis, hypothesis testing with SPSS version 26, path analysis, and finally, the Sobel test. The results of the study indicate that employee competence directly affects service quality with a t-value (18.119) exceeding the t-table (1.969), but does not directly affect citizen satisfaction with a t-value (0.831) less than the t-table (1.969). Meanwhile, service quality directly affects citizen satisfaction with a t-value (10.156) greater than the t-table (1.969). Path analysis and the Sobel test also show that employee competence indirectly affects citizen satisfaction through service quality, with a Sobel test t-value of (8.87) greater than the t-table (1.969). Based on these results, it is concluded that there is no direct influence of employee competence on citizen satisfaction, but there is an indirect influence of employee competence on citizen satisfaction through service quality.
Research on the application of big data technology in China’s tax administration
Authors: Wei Shiyu , Liang Zhanfei
Published: December 2024

With the advent of the big data era, the amount of various types of data is growing exponentially. Technologies such as big data, cloud computing, and artificial intelligence have achieved unprecedented development speed, and countries, regions, and multiple fields have included big data technology in their key development strategies. Big data technology has been widely applied in various aspects of society and has achieved significant results. Using data to speak, analyze, manage, make decisions, and innovate has become the development direction of various fields in society. Taxation is the main form of China’s fiscal revenue, playing an important role in improving the national economic structure and regulating income distribution, and is the fundamental guarantee for promoting social development. Re examining the tax administration of tax authorities in the context of big data can achieve efficient and reasonable application of big data technology in tax administration, and better serve tax administration. Big data technology has the characteristics of scale, diversity, and speed. The effect of tax big data on tax collection and management is becoming increasingly prominent, gradually forming a new tax collection and management system driven by tax big data. The key research content of this article is how to organically combine big data technology with tax management, how to fully leverage the advantages of big data, and how to solve the problems of insufficient application of big data technology, lack of data security guarantee, and shortage of big data application talents in tax authorities when applying big data to tax management.
Prediction of telecommunications market behavior based on LSTM models
Authors: Giral-Ramirez Diego Armando , Hernández-Suarez Cesar Augusto , Pedraza-Martínez Luis Fernando
Published: December 2024

The telecommunications services market faces essential challenges in an increasingly flexible and customer-adaptable environment. Research has highlighted that the monopolization of the spectrum by one operator reduces competition and negatively impacts users and the general dynamics of the sector. This article aims to present a proposal to predict the number of users, the level of traffic, and the operators’ income in the telecommunications market using artificial intelligence. Deep Learning (DL) is implemented through a Long-Short Term Memory (LSTM) as a prediction technique. The database used corresponds to the users, revenues, and traffic of 15 network operators obtained from the Communications Regulation Commission of the Republic of Colombia. The ability of LSTMs to handle temporal sequences, long-term dependencies, adaptability to changes, and complex data management makes them an excellent strategy for predicting and forecasting the telecom market. Various works involve LSTM and telecommunications. However, many questions remain in prediction. Various strategies can be proposed, and continued research should focus on providing cognitive engines to address further challenges. MATLAB is used for the design and subsequent implementation. The low Root Mean Squared Error (RMSE) values and the acceptable levels of Mean Absolute Percentage Error (MAPE), especially in an environment characterized by high variability in the number of users, support the conclusion that the implemented model exhibits excellent performance in terms of precision in the prediction process in both open-loop and closed-loop.
Estimation of the LINDA index prediction based on deep learning models
Authors: Giral-Ramirez Diego Armando , Hernández Cesar , Cadena-Muñoz Ernesto
Published: December 2024

Recognizing the importance of competition analysis in telecommunications markets is essential to improve conditions for users and companies. Several indices in the literature assess competition in these markets, mainly through company concentration. Artificial Intelligence (AI) emerges as an effective solution to process large volumes of data and manually detect patterns that are difficult to identify. This article presents an AI model based on the LINDA indicator to predict whether oligopolies exist. The objective is to offer a valuable tool for analysts and professionals in the sector. The model uses the traffic produced, the reported revenues, and the number of users as input variables. As output parameters of the model, the LINDA index is obtained according to the information reported by the operators, the prediction using Long-Short Term Memory (LSTM) for the input variables, and finally, the prediction of the LINDA index according to the prediction obtained by the LSTM model. The obtained Mean Absolute Percentage Error (MAPE) levels indicate that the proposed strategy can be an effective tool for forecasting the dynamic fluctuations of the communications market.
Policy framework for integrating data interoperability at public hospitals in South Africa
Authors: Chuma Kabelo Given , Ngoepe Mpho
Published: December 2024

The implementation of data interoperability in healthcare relies heavily on policy frameworks. However, many hospitals across South Africa are struggling to integrate data interoperability between systems, due to insufficient policy frameworks. There is a notable awareness that existing policies do not provide clear actionable direction for interoperability implementation in hospitals. This study aims to develop a policy framework for integrating data interoperability in public hospitals in Gauteng Province, South Africa. The study employed a conceptual framework grounded in institutional theory, which provided a lens to understand policies for interoperability. This study employed a convergence mixed method research design. Data were collected through an online questionnaire and semi-structured interviews. The study comprised 144 clinical and administrative personnel and 16 managers. Data were analyzed through descriptive and thematic analysis. The results show evidence of coercive isomorphism that public hospitals lack cohesive policies that facilitate data interoperability. Key barriers to establishing policy framework include inadequate funding, ambiguous guidelines, weak governance, and conflicting interests among stakeholders. The study developed a policy to facilitate the integration of data interoperability in hospitals. This study underscores the critical need for the South African government, legislators, practitioners, and policymakers to consult and involve external stakeholders in the policy-making processes.
The impact of innovative approaches on prospective primary teachers’ quality of education: An exploration of practice
Authors: Zhumabayeva Zhazira , Zhaxylikova Kulyay , Omirzakova Assel , Aitenova Elmira , Zhailauova Manat
Published: December 2024

This study examines innovative teaching approaches’ effect on the quality of education for prospective primary teachers. A mixed-methods approach combining qualitative and quantitative data collection techniques was employed. Initially, the two data sets were analyzed separately—qualitative data through thematic analysis and quantitative data through statistical methods. The themes emerging from the qualitative analysis were then cross-referenced with the quantitative findings to evaluate whether the trends supported each other. For instance, if a qualitative theme indicated that teachers felt more confident using innovative methods, this was supported by quantitative data showing improvements in teacher performance scores or student outcomes. The study had 200 participants, and the study findings revealed a significant positive impact of innovative teaching approaches on the quality of education for future primary teachers. Participants reported increased engagement, improved critical thinking, and enhanced adaptability in classroom settings. The study findings reveal that innovative approaches significantly improve the quality of education for prospective primary teachers by fostering more interactive, technology-enhanced, and student-centered learning environments. To maintain these improvements, it is essential to invest in infrastructure, provide ongoing support for teacher educators, and continuously update curricula to reflect emerging educational technologies and practices. These findings emphasize the importance of innovation in teacher training to meet the evolving demands of primary education.
Political patronage: A catalyst for corruption and misgovernance in South Africa
Authors: Mabizela Hlengiwe Nomzamo
Published: December 2024

Political patronage has become a notable concern in the South African public sector, often compared to a new epidemic because of its adverse effects on governance and public administration. This phenomenon involves by political leaders offering rewards and appointment people for key government positions and allocating resources to them based on their political loyalty rather than their abilities and qualifications. This intensifies corruption by fostering a culture in which competence is subordinate, resulting in inadequately qualified individuals assuming key positions and receiving benefits, thereby amplifying opportunities for unethical conduct. In turn, this practice undermines the effectiveness and integrity of public sector institutions. The purpose of this article is to offer a broader analysis and implications of political patronage and how it fuels corruption and governance in the South African public sector. This article employs a secondary research method through the review of existing literature to examine the nature of political patronage, its nexus with corruption and misgovernance in the public sector, drawing reference to contemporary, renowned corruption cases. This paper submits that overcoming these challenges necessitates a holistic approach that involves the professionalization of the public sector, robust measures to combat corruption, and improved transparency. The objective is to establish and promote a public service that emphasizes competence, responsibility, and the fulfilment of governance functions in order to serve the wider interests of citizens.
Consideraciones ontotecnológicas sobre el ser humano y la Inteligencia Artificial
Authors: Sánchez Viejo Marta
Published: December 2024

La tecnología posee sesgos y está inserta en redes discursivas y metafóricas que influyen en su propio sentido y en el de los actores participantes. Los elementos que forman parte de estos tejidos tecnológicos y generan asociaciones no son accidentales, son solidarios con la ciencia moderna y están mediados por cuestiones como la idea de objetividad o neutralidad. Reconsiderar las relaciones entre los humanos y la tecnología permite adoptar una nueva perspectiva ontológica que cuestione la tradicional separación entre sujeto y objeto y las identidades históricamente establecidas para, así, comprender al ser humano como un ente situado y performático. En este artículo se tratará de desentrañar qué vínculos, similitudes o simetrías se dan entre lo humano y lo no humano, centrándose en el ámbito tecnológico y, concretamente, en la IA. Para ello se emplea un marco solidario con la teoría del actor-red y se exploran las asociaciones humano-IA y la agencia de la IA sobre la delimitación del sujeto.
Condiciones de posibilidad de las atribuciones mentales en la díada humano-inteligencia artificial
Authors: Biscaia Fernández José Miguel
Published: December 2024

En este ensayo se discute sobre los límites de la atribución mental entre humanos y máquinas inteligentes. Partiendo de los presupuestos ontológicos del funcionalismo y del transhumanismo tecnológico de que una inteligencia artificial fuerte (IA-fuerte) con estados mentales podría ser realizable, analizo las condiciones de posibilidad de atribución mental en perspectiva psicológica de primera, segunda y tercera persona entre ambos agentes. Concluyo que, pese al enorme debate conceptual y las considerables dificultades técnicas de esta empresa, de existir un IA-fuerte con capacidades cognitivas similares a las nuestras no habría límites nomológicos que impidan algún tipo de atribución mental bidireccional, asimétrica y gradual.
Research on Online English Teaching Resource Allocation Strategy Based on Optimization Algorithm
Authors: Zhang Buyi
Published: December 2024

With the arrival of the era of education informatization, online learning has become one of the research hotspots. Aiming at one of the important links, learning resource allocation, this paper designs an online system for distributing English teaching resources. Based on the maximum distance optimization K-means clustering algorithm, a hybrid collaborative filtering personalized recommendation algorithm based on users and items is used to optimize the similarity algorithm, and the online English teaching resources allocation strategy is proposed. A variety of teaching resource recommendation quality experiments are set up and combined with teaching practice applications to explore the model’s resource allocation quality and its enhancement effect on English teaching. The model in this paper has higher recommendation accuracy and recommendation quality of English teaching resources, and the comprehensive evaluation index value F is lower than that of the comparison model by 0.18 and 0.07. At the same time, the online English teaching resources allocation strategy has a better effect on improving learning attitudes, with more than 72% of positive evaluations in each dimension of satisfaction. The experiment shows that the online English teaching resource allocation strategy has a positive effect on students’ English learning efficiency and motivation.
Vector Space Modeling of Classical Chinese Dance Movements Based on Motion Capture Technology
Authors: Liu Miaogu
Published: December 2024

The development of motion capture technology provides the possibility of in-depth analysis of Chinese classical dance movements. In order to facilitate the measurement and calculation of classical dance movement data, this paper is divided into different human detection nodes. The TrignoIM wireless EMG wireless collector is selected to collect human electromyography data, and the data errors of the gyroscope, accelerometer, and magnetometer are analyzed and processed to construct the Chinese classical dance movement data set. Subsequently, Maya animation software was used to spatially model the character body and finger bone vectors of classical Chinese dance movements and combined with neural fusion shape techniques such as envelope deformation branching and residual deformation branching for bone building and skin weight binding. In order to test the effectiveness of the motion capture and modeling techniques in this paper, they are applied to the digital teaching of classical Chinese dance. The comparison group and the conventional group were selected to adopt different training methods, and a final assessment was conducted after completing the classical dance course. When it came to movement amplitude, the conventional teaching scored 4.06 points higher than the comparison group, and the comparison group performed better than the conventional group in all other areas. Classical Chinese dance movement vector space modeling based on motion capture technology is able to standardize classical dance movements.
A Study of English Lexical Disambiguation Based on the Transformer Model
Authors: Wu Yubing
Published: December 2024

Word sense disambiguation is a common problem in the field of English language processing. In this paper, we use the Transformer model and LSTM model to construct a fusion model for word sense disambiguation, which provides a method to solve the problem of low accuracy in English vocabulary disambiguation. This paper first introduces the construction of a Transformer-based context embedding model to achieve word sense disambiguation, which effectively captures semantic and sequential information in the context. On the basis of the Transformer lexical disambiguation model, the fusion model of lexical disambiguation is proposed by integrating the LSTM network, and the efficiency of lexical disambiguation is improved by taking advantage of the long and short-term dependency properties of the LSTM network and the parallel processing mechanism of Transformer network. The average disambiguation accuracy of this model reaches 75.24% in English word disambiguation, and the average disambiguation accuracy increases and decreases by less than 5% in different language scales, and the F1 scores of words with different lexical natures are more than 80. The average disambiguation accuracy of this model is higher than those of the comparative LSTM models in different disambiguation features. The English word disambiguation model’s overall performance in this paper is satisfactory.
Synergies between ESG Performance and Financing Cost Control in Advanced Manufacturing Firms in the Digital Era
Authors: Zheng Shuyi , Wang Tiantian
Published: December 2024

In the context of the digital era, advanced manufacturing firms exhibit significant synergies between their environmental, social, and governance performance and their cost control in financing. The purpose of this paper is to design an endogenous digital transformation method for manufacturing enterprises and evaluate their digital transformation capability using the entropy weight model. To analyze the relationship between digital transformation and an enterprise’s ESG performance, regression equations are used to collect data. The proposal and demonstration suggest analyzing the synergistic effect between enterprise ESG performance and financing cost control in this manner. The comprehensive ability of digital transformation of manufacturing enterprises shows a steady increase between 2018 and 2023, and the brush transformation ability of most enterprises is measured between 0.064 and 0.076. After fixing industry and time effects, a one-unit improvement in corporate digital transformation is associated with a corresponding rise in ESG performance of 0.0622. Lower financing costs can be achieved through better ESG performance of advanced enterprises that have been digitally transformed. The regression analysis proves the hypothesis that ESG performance is negatively correlated with financing costs. In summary, advanced manufacturing enterprises can achieve more efficient and greener development through digital transformation, and enhance their sustainability capability.
Exploring the “Online+Offline” Hybrid English Teaching Method Based on Constructivism Theory
Authors: Liang Juntong
Published: December 2024

Based on constructivism, blended teaching pays more attention to highlighting the students’ subject position, which is an organic integration of classroom teaching and online learning, and emphasizes the teacher’s leading role in the teaching process and the students’ main role in the English listening and speaking teaching activities at the same time. In this paper, we take the principles of English teaching under constructivism, such as the concept of non-unique knowledge, the concept of active constructive learning, the concept of cooperation between teachers and students, and the concept of twoway interactive teaching, as a guide, and design a hybrid English teaching method of “online + offline” that runs through the stages of pre-class pre-study, classroom teaching, and after-class review. Applied to an English teaching class in a middle school in Guangdong Province, the method had a significant and positive effect on overall English learning motivation, as well as motivation in and out of the classroom. The grades of the experimental class were 15.36 and 17.94 before and after the semester, which were significantly different and better than those of the control class. After the implementation of the online-offline hybrid teaching model, the experimental class improved its English proficiency more than the control class, and the student’s perceptions of the dimensions of interest in learning, learning habits and learning experience were more positive.
A network study of user path optimisation in personalised experience design for museums
Authors: Wu Jiati , Li Dan
Published: December 2024

Faced with the plight of declining visitor traffic, major museums are actively seeking new changes and exploring more attractive personalised experience designs. In this paper, we take “demand-optimisation” as the research idea to analyse the personalised demand for museum visit experience. Under the guidance of experience design thinking, the solution for a digital roaming museum service platform with a community function has been designed. In the optimization path chain of “information acquisition - self-creation - memory experience”, the digital museum reconstruction combining hierarchical modelling and octree, the A* algorithm based virtual interactive roaming, the social interaction based virtual roaming, and the social experience based virtual interactive roaming are proposed respectively. The digital museum reconstruction with hierarchical modelling and octree, the virtual interactive roaming based on A* algorithm, and the souvenir recommendation based on social network analysis are proposed, respectively. The experimentally constructed digital museum scene has fewer collisions and a higher frame rate, which can have a more comprehensive information perception on the basis of fully restoring the real experience. Meanwhile, the interactive roaming test shows that the paths generated by the algorithms in this paper are fitted smoothly and can meet the personalized roaming needs in the virtual museum scene. In addition, the MAE of the recommendation result for the souvenir guide module is only 0.012, with a high degree of matching. In terms of scene information display, roaming freedom, and souvenir recommendation suitability, the above optimized link networks enhance the museum visiting experience.
Spectral modelling of suona sound characteristics in Shanxi Jin opera music
Authors: Chen Geng
Published: December 2024

Shanxi Jin Opera music has become more and more mature in recent years, and the objective measurement of the suona instrument has a very important influence on the combination pattern of instruments in the music. In this paper, we use the pre-emphasis and frame-window methods to preprocess the digitized sound signals of Shanxi Jin Opera and then extract the onset and period of the fundamental in the sound signals based on the short-time autocorrelation function. Subsequently, the excitation source-filter model is used to design the spectral analysis model of sound features, and the MFCC method is used to extract the sound features of a sample and obtain its spectral analysis results. The spectral analysis model proposed in this paper is highly accurate and can be used for subsequent empirical analysis, as shown by the study. The results of the empirical spectral analysis found that the D tone of suona in Shanxi Jin Opera music has a higher deviation, the acoustics of the fundamental tone are lower, and the fundamental frequency and pitch of the D tone are 574.01 HZ and D5-10, respectively. In addition, the #F tone of suona is sustainable, can be excited quickly and vibrates uniformly, and the stability of the tone is also more excellent. This paper provides objective measurement tools and data for the analysis of the suona spectrum in the music of the Shanxi Jin Opera, which provides an effective reference for relevant composers and musicologists.
A Study on the Impact and Development of Optimising Logistics Regulations on the Transport Industry in the Context of the Digital Economy
Authors: Cui Xiaoyan , Li Lu , Zhu Jie
Published: December 2024

This paper analyses the profile and mode of operation of the transport industry and finds that a large market, high returns, strong trends, long cycles, large investments and strong competition characterise the transport industry. Based on the theory of policy tools, logistics regulations are classified into three types: supply-type, environment-type, and demand-type, and the cumulative regulatory strength values are measured for each year respectively. By constructing a system dynamics model with sensitivity analysis and regulation interpretation, the effect of optimising logistics regulations on each dimension of the transport industry is studied in depth, and the differences in the effect of different logistics regulations on the operation and management of the transport industry, the infrastructure, the level of economic development, and the level of informatisation are analysed. From the long-term perspective, it seems that optimizing logistics regulations will promote the positive development of the transport industry. As the transport industry continues to improve, environmental and demand-based regulations become less influential on its performance. For every 10 per cent change in environmental and demand regulations, the transport industry is affected by 0.5 per cent as well as 0.7 per cent. When regulations change by 30%, supply-based regulations have the greatest positive impact on the transportation industry’s operational management, infrastructure, level of economic development, and level of information technology. Obviously optimising logistics regulations can better promote the level of transport industry.
Study on the construction of semantic web perception-driven smart installation cloud verification interaction model in power marketing
Authors: Wei Kai , Yang Chen , Li Hu
Published: December 2024

The informatisation process of power marketing has gradually accelerated its development, and in order to be able to more comprehensively understand the current electric energy usage, receivable tariffs, actual tariffs and delinquent tariffs management and other business conditions of the supply area under its jurisdiction, the use and development of the smart installation cloud verification model have become inevitable. The article builds a semantic web-based perception-driven smart installation cloud verification interaction model, specifically, the overall design of the power marketing smart installation management system from the three major functions of application verification, change of line and station area and pre-consultation. Then, a cloud calibration interaction model based on semantic network perception is constructed, and a specific method of model calibration is proposed after identifying the problems in cloud calibration using semantic analysis. After putting the smart installation cloud verification interaction model constructed in this paper into practical use, the temporary new installation users were reduced from the previous 37 days to 30 days, shortening by 7 days, and the overall expansion process was simplified after reorganisation.