bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on 3D Human Motion Visualization for Immersive Teaching Mechanism - 3D Pose Reconstruction form the Tradition Motion Video for Teaching and Evaluation
Authors:   School of Computer Science, Guangdong University of Education, Guangzhou, Guangdong Province, China, Li Wanyi , Zheng Linping ,   School of Computer Science, Guangdong University of Education, Guangzhou, Guangdong Province, China, Fan Yingyin ,   Library, Guangdong University of Education, Guangzhou, Guangdong Province, China, Chen Yimin ,   School of Computer Science, Guangdong University of Education, Guangzhou, Guangdong Province, China, Kuang Yun ,   School of Computer Science, Guangdong University of Education, Guangzhou, Guangdong Province, China, Guo Xiaoyun ,   School of Computer Science, Guangdong University of Education, Guangzhou, Guangdong Province, China, Chen Yongchang ,   School of Computer Science, Guangdong University of Education, Guangzhou, Guangdong Province, China, Huang Jinming ,   School of Computer Science, Guangdong University of Education, Guangzhou, Guangdong Province, China, Ou Jichu ,   College of Economics and Management, Shandong University of Science and Technology, Qingdao, Shandong Province, China, Zou Ling ,   College of Information and Intelligence, Hunan Agricultural University, Changsha, Hunan Province, China
Published: March 2024

Objective: Based on the three-dimensional (3D) visualization technology of human motion, the immersive teaching mechanism of human motion was proposed. At present, the training and learning of human motion could not observe the 3D information of its posture due to the issue of two-dimensional (2D) perspective, which had many shortcomings. Methods: This article proposed new teaching mechanisms, including personal immersive assisted instruction, multi person immersive interactive teaching, and immersive teaching evaluation method for motion learning. The design of the three methods were carried out in the background of artificial intelligence (AI). Results: Combining with current advanced AI algorithms, the concept of visualizing 3D human motion for immersive teaching method was conceived, and a specific implementation framework diagram and description of the main work of each teaching mechanism are provided. The personal immersive assisted instruction method would be a powerful tool for enhancing individual learning experiences in the realm of 3D human motion visualization. The multi-person immersive interactive teaching took 3D human motion visualization to the next level by facilitating collaborative learning experiences. The immersive teaching evaluation method for human motion training was pivotal for assessing the effectiveness of these immersive techniques. Conclusion: After the evaluation and analysis, this mechanism had been proven to be an effective teaching mechanism for pose learning. 3D human motion visualization for the immersive teaching held the promising prospects in the field of education and instructional practices.
Carbon-neutral Existing Buildings Strategies
Authors:   Department of System Engineering and Engineering Management, City University of Hong Kong, Hong Kong, China, Leung Ben Chak Man
Published: March 2024

Background: The world screams for carbon-neutral pledge every day. Existing buildings (EBs) are a good starting edge. EBs account for more than one-third of greenhouse gas (GHG) emissions and use of more than half of the world’s energy as reported in the 2020 Global Status Report for Buildings and Construction. Without evolving effective strategies to transform the EBs into carbon-neutral structures, there is no chance of confronting this huge adverse impact on the climate. A carbon neutral building does not waste energy, uses less water, and produces as much energy as it consumes or uses renewables as their energy resource. Objective: This study aims to build up a new, easy, and practical carbon-neutral audit (CNA) rating tool to put forward carbon-neutral existing buildings (CNEB) strategies to reduce the GHG effect. Methods: This study responds to this pledge call to lay down the strategies to retrofit existing structures into carbon-neutral buildings. Carbon-neutral potentials of an existing building are the guidance for the setup of CNEB strategies. Assessing the carbon-neutral potentials in an EB is rarely touched in the past literature. With the help of a CNA scheme, an easy scanning rating tool, a list of carbon-neutral potentials can be built up for the instigation of the CNEB strategies. Results: The findings established that using the above CNEB strategies, a total of energy savings in a range of 45-65% can be achieved. Conclusion: This high energy savings will attribute a carbon intensity reduction in the range of 25-35%, thus triggering a gateway to decarbonisation of the EBs.
Desbravando o amanhã: uma exploração profunda das tecnologias digitais da informação
Authors: Meroto Monique Bolonha das Neves , Pinto Alan Carlos Pereira , Emiliano Francielle Rodrigues Costa , Macedo Karla Cristina Marques , Martins Olavo Falcão , Ferreira Robert Andrade , Pedra Rodrigo Rodrigues , Souza Sirlene Vieira de
Published: March 2024

Este estudo abordou a integração das Tecnologias da Informação (TI) na educação, focando nos desafios éticos, técnicos e educacionais dessa implementação e nas perspectivas futuras. O objetivo geral foi analisar como as TI, incluindo inteligência artificial, gamificação e realidade virtual, podem transformar o ensino e a aprendizagem. A metodologia baseou-se em uma revisão de literatura, explorando casos de estudo selecionados para avaliar a eficácia dessas tecnologias na educação. Os resultados indicaram que, apesar dos desafios, as TI oferecem oportunidades significativas para enriquecer a experiência educacional, promovendo um aprendizado mais personalizado e interativo. As considerações finais sugeriram que a colaboração entre educadores, formuladores de políticas e a comunidade em geral é essencial para superar os obstáculos à implementação das TI, destacando a necessidade de pesquisas futuras focadas em práticas pedagógicas que otimizem o uso dessas tecnologias.
A Study on the Operational Mechanism and Practical Experience of Digital Agricultural Industrial Chain Finance: A Case Study of Leading Enterprise Dominant Model
Authors: Liang Jianing
Published: March 2024

To alleviate the credit constraint problem of farmers, a financial model of the agricultural industry chain has emerged in China, and has undergone digital transformation with the development of digital technology. In order to explore the operation mechanism of the digital agricultural industry chain finance, this study, based on the review of its typical models, takes the leading enterprise dominant model as an example. Combining the case of chili agricultural industry chain finance in Xiangcheng County, Henan Province, this paper starts from the problems existing in the local traditional industry chain finance, and analyzes the specific process and operation mechanism of the leading enterprise dominant digital agricultural industry chain finance model. The study finds that the local digital agricultural industry chain finance has realized direct data transmission between farmers and financial institutions by building its own e-commerce platform within the leading enterprises. This helps to improve the efficiency of farmer loans, reduce the cost of risk identification for financial institutions, optimize the efficiency of capital turnover, and thus break through the drawbacks of traditional industry chain financing methods, easing the credit constraints faced by farmers. The possible contribution of this paper is that by analyzing the breakthroughs achieved in the digital transformation process of the chili industry chain finance in Xiangcheng County, it provides empirical references for the development of digital agricultural industry chain finance in China.
Mechanisms and Practices of Fintech Driving the Development of Green Finance
Authors: Ma Yini
Published: March 2024

The purpose of this paper is to analyze the mechanism and practice of FinTech in promoting the development of green finance in the field of international finance. By studying FinTech innovation cases and policy measures in different countries and regions, the paper finds that FinTech plays a key role in improving the efficiency of green finance, strengthening risk management, and promoting innovation and cooperation. The paper also puts forward suggestions on international cooperation, regulation and technological innovation to further promote the development of FinTech in the field of green finance.
Research on the E-commerce Platform Marketing Strategy Based on the Relevant Bank E-commerce Platforms in China
Authors: Zhuang Keran
Published: March 2024

With the development of the Internet, science, and technology, the Internet has penetrated all aspects of the national economy. The amazing sales of "Double Eleven" in 2012 tell the world that in the era of e-commerce, every day is a shopping carnival. E-commerce giants rely on e-commerce platforms to launch an impact on banks, banks in the opposite direction but also started e-commerce. Research methods Single case study method was used. Taking the e-commerce platforms Shanrong Commerce and Global E-Trade Service built by China Construction Bank and Industrial and Commercial Bank of China as examples, this paper analyzes the marketing strategies of their e-commerce platforms, online and offline user transformation, customer relationship platform construction, and other marketing links. And evaluate its marketing model, and analyze its advantages and disadvantages. Through the case analysis of Shanrong commerce and Global E-Trade Service, the paper gives suggestions on the network marketing mode of the bank e-commerce platform, which has certain reference significance for the current bank e-commerce network marketing.
Predicting Vehicle Insurance Purchasing by Machine Learning Algorithms
Authors: Wan Yangyang
Published: March 2024

This report intends to address the problem of predicting customers' willingness to be insured. To solve the problem, this report uses SMOTE over-sampling and Near Miss under-sampling to solve the data imbalance, establishes eight basic or ensemble models, including Logistic Regression, Decision Tree, etc., and compares the model strengths and weaknesses by using f1_score as a measure. The results of the models represent that the effects of over-sampling are better than under-sampling, and the results of the ensemble models are overall better than the basic models. The best method is over-sampling combined with Adaptive Boosting or Extreme Gradient Boosting. The highest f1_score among all the results is only 0.4, which means that all the methods mentioned in this report are limited in their ability to solve this problem. The methods for solving data imbalance, the prediction models, and the ensemble algorithms mentioned in the report are of high application value. This report expects the existence of models and methods that can significantly improve the prediction effects of this dataset.
Urbanization and Women’s Social Status: Progress and Challenges in China
Authors: Wu You
Published: March 2024

This paper examined the relationship between urbanization and women's social status by analyzing China's case from 2010 to 2022. The paper first analyzed how the conditions have improved in aspects of education, pay, health, and gender conceptions, then identified challenges that still exist, including underrepresentation of women in STEM fields, reduced employment, unhealthy mental conditions, and domestic violence. According to the challenges and based on successful cases in other parts of the world, the promotion of gender-sensitive education, encouragement to react to gender discrimination, promotion of social support, and provision of domestic violence support programs are suggested. The analysis of China's case on the problem showed that urbanization influenced women's social status both positively and negatively. Urbanization provides women with a wide variety of opportunities for personal development and independence attainment but may expose them to mental health issues, reduced employment, and domestic violence. Problems including the limited number of women working in STEM fields remain unsolved due to cultural norms and conventional gender conceptions.
The Impact of City Immigrants: Take Shenzhen as an Example
Authors: Chen Jinsi
Published: March 2024

Shenzhen's transformation into a global tech hub and immigrant metropolis is noteworthy, with foreigners making up 60% of its population and symbolizing a unique cultural identity and economic dynamism. However, this wave of migration also brings challenges such as soaring housing and education costs, hindering integration and well-being. However, these burdens can be alleviated by increasing affordable housing, strengthening financial support for education, and relaxing hukou registration requirements. This essay delved into the impact of migration on Shenzhen's growth, the difficulties migrants encounter in Shenzhen, and evaluated their strategies to address related challenges, and proposed holistic solutions to promote integration and urban well-being. Ultimately, creating a more inclusive and accessible environment will not only contribute to the continued development of the city but will also serve as a model for other cities with large immigrant populations.
Optimization Study of the Improvement on DDM Model Based on Poly Union Group Corporation
Authors: Xin Longxuan
Published: March 2024

With the global economic develops, stock market has aroused the attention of investors, which enables them to invest capital in it. However, the DDM that investors use has various disadvantages, which have been misleading them to get wrong conclusions. Thus, this paper will have further analysis and research on the weakness of the DDM and propose elaborate improvement. The paper uses the GGM model to value the stock price based on the actual dividend paid by the company and for the simplicity of calculation. The research shows that the DDM ignores the growth of the company and the risk factor. Furthermore, the DDM isn’t suitable for stocks whose growth of dividend is higher than the discount rate. The PEG model can give accurate valuations for stocks that have zero dividend yields or very trivial ones. In general, the PEG model can improve the DDM model. But still, the PEG model doesn’t take the cash amount on the balance sheet into account. Company with a certain amount of cashflow might be more valuable for investors. In the future, something should be added to modify the PEG model.
Application of Machine Learning Algorithms in Detecting Credit Card Fraud: A Comparative Analysis
Authors: Ren Yiting
Published: March 2024

Credit card transaction have grown increasingly prevalent in the digital era, and along with them, so have incidents of associated fraud. Hence, identification and prevention of such frauds are critically crucial. Machine learning algorithms are predominantly employed in the realm of credit fraud detection. According to current literature, class imbalance of data, a great disparity in ratio between normal and fraudulent transactions, could severely affect the result in detection. In this paper, a combination of imbalanced classification methods, specifically the Synthetic Minority Random Oversampling Technique (SMOTE) and Under-sampling, is utilized to harmonize the dataset. Some popular machine learning algorithms are applied to detect frauds are compared and analyzed, including Logistic Regression, Decision Tree, Random Forest and XG Boost. The accuracy, precision, recall, F-1 score and Area Under Curve (AUC) of each algorithm are used as metrics of performance evaluation. The research findings indicated that among the four models tested, XG Boost, when coupled with balanced data yielded overall optimal results for classifying fraudulent activities.
The Impact of COVID-19 on the Economy of Shanxi Province and the Countermeasures for Its Recovery
Authors: Li Zhaoqi
Published: March 2024

The outbreak of COVID-19 has swept the world and caused a huge impact on the world and China's economy. Although it has entered the post-epidemic era, the epidemic is still an uncertain factor for economic development. Studying the impact of COVID-19 on the economy of Shanxi Province can help the province reasonably formulate macro-control policies and consolidate the results of the recovery of the epidemic, which has important theoretical and practical significance. This study conducted a study on the impact of the epidemic on the economy of Shanxi Province, analyzed the impact of the epidemic on the economy of Shanxi Province in different periods, and concluded that the epidemic seriously affected the economic growth of Shanxi Province in 2020 and 2022, and had an impact on various industries, especially transportation, cultural tourism, catering and accommodation. Additionally, it examined Shanxi Province's progress toward economic and employment recovery in the wake of the pandemic. All industries in Shanxi Province showed apparent signs of recovery as a result of the government hosting employment fairs and setting up promotional tools. Finally, it offers policy recommendations to support the ongoing modernization and transformation of conventional sectors, aid in the recovery and expansion of small, medium, and micro companies, and boost public investment.
Analysis on the Relationship Between China-US Exchange Rate Fluctuations and Short-Term Cross-Border Capital Flows
Authors: Zhang Wanyue
Published: March 2024

The exchange rate, as a key indicator of a country's economic health and policy direction, has profound implications for international trade and cross-border investments. This study explores the relationship between the RMB exchange rate and short-term international capital flows (SICF) and employs various economic analysis methods to delve into this issue. The main findings of the study include, firstly, there exists a cointegration relationship between the RMB exchange rate and short-term international capital flows, indicating a long-term equilibrium relationship between them rather than just short-term fluctuations; secondly, Granger causality test results suggest a bi-directional causal relationship between these two variables, with changes in the RMB exchange rate being used to predict changes in international capital flows, and vice versa. Additionally, the estimated results of the VAR model established reveal linear relationships among five key variables and exhibit a high degree of fit. Finally, variance decomposition analysis reveals that the RMB exchange rate gradually becomes an important factor in the volatility of short-term capital flows, while the volatility of short-term capital flows itself gradually decreases.
CHAGEE’s Brand Development and Business Strategies
Authors: Liu Keliang
Published: March 2024

Milk tea, a popular beverage in numerous regions worldwide, constitutes a dynamic and fast-growing segment of the global beverage industry, with a strong presence in Asia, especially in China. Consuming milk tea has now become a new form of social interaction for young people, and the milk tea industry has evolved from the 1.0 era to the 3.0 era. With a more competitive market environment, most milk tea businesses struggle to survive. However, CHAGEE is one of the few brands that stand out and is growing against trends. CHAGEE is a brand originating from Yunnan, that took the essence of Chinese tea culture, and its goal is to become the oriental Starbucks. With that being said, CHAGEE is expanding aggressively, and it has now opened more than 2300stores worldwide. This paper analyzes how CHAGEE became a ‘Dark Horse’ within the competitive industry through the introduction of the milk tea era evolution, generation Z’s consuming behaviours, CHAGEE’s business strategies such as ‘flagship product’ strategy, and social media marketing, the milk tea industry in the global market and finally a SWOT analysis of CHAGEE.
Research on Organizing Strategies for the Olympic Games Based on the TOPSIS Method
Authors: Xu Jiale , Hua Xiaoyu , Yan Ruheng , Han Xinyu
Published: March 2024

Fewer and fewer countries have bid to host the Olympic Games in recent years because of the negative short- and long-term impacts that bidding to host the Games has had on the country. A sustainable and healthy Olympic Games will have a huge positive impact on the country, so it is quite meaningful to assess the ability of an Olympic Games to be sustainable. In order to assess the success of the Olympic Games, we designed the Olympic Sustainability Index (OSI) as a primary indicator. Then, using McKinsey Logic Tree Analysis, we constructed a three-level evaluation index system, and we designed three secondary indicators and 10 tertiary indicators. The entropy weight method was used to determine the weights between the three-level indicators, and CRITIC weighting method was used to determine the weights between the second-level indicators, and finally an OSI evaluation model was built. After that, we collected the data of tertiary indicators from 1992 to 2020 Winter Olympics and Summer Olympics, and based on the above evaluation model, we got the OSI of each Olympic Games, among which the Vancouver Winter Olympics and Beijing Summer Olympics had the highest index. Since the OSI of the Olympic Games fluctuates greatly, in order to attenuate it, we propose the strategy of "fixed host city", i.e., selecting Vancouver and Beijing as the host cities of the Winter Olympic Games and the Summer Olympic Games, respectively.
Digital Business Strategies in the Era of Web 4.0: An Analysis of Dell's Opportunities, Challenges, and Marketing Approaches
Authors: Li Longxinyang
Published: March 2024

With the development of Web 4.0, digital business become an essential part of marketing nowadays which inspire more company build digital business strategy. On this essay, Dell as an example will be analyzed on opportunities and challenges with web 4.0. On this essay, RACE model will be applied to analyze the issues facing by Dell which help them to get engagement with potential customers and covert these customers to realize marketing goals. And SERVQUAL model is used to find weaknesses of Dell on their online marketing. After exploring current situation, revised strategy including segmenting, positioning, and targeting will be given to help Dell improve their relationships between customers and company. Finally, some problems of laws need to pay attention to.
Packaging Waste in the Supply Chain: A Systematic Literature Review
Authors: Shi Hongjian
Published: March 2024

Packaging plays an important role in daily life, such as protecting the product during the transport process and extending the shelf life of the food. While people enjoy the convenience that packaging brings to our lives, packaging waste also has caused huge impacts on the environment. With the increasing awareness of the environmental impacts of packaging, reducing packaging waste is expanding rapidly across the sectors. It is found that nowadays, people’s lives are inseparable from packaging, and each person generates a large amount of packaging waste every day. In Chapter Three, options for reducing the packaging waste are discussed, including reduction, recycling, and reusing packaging. Although these methods are effective in reducing packaging waste, they still cannot completely eliminate packaging waste. In the discussion, the author presents some suggestions for reducing the environmental impacts by reducing packaging waste in the future.
Anny Karely Rodríguez Fersaca, docente con una fuerte vocación por la investigación
Authors: Mendez Garcia Germán Augusto
Published: March 2024

La profesora Anny Rodríguez es oriunda de Puerto Ordaz, Estado de Bolívar, Venezuela, es una científica apasionada por la investigación de la Universidad Antonio Nariño en la Facultad de Ciencias, en donde ha llevado a cabo un excelente desempeño tanto docente como investigativo que han permitido el buen desarrollo de la Universidad. Por lo anterior y más, es uno de los personajes UAN.
#11F: más mujeres en ciencias
Authors: Olarte María Isabel
Published: March 2024

Reconocer el papel de las mujeres y las niñas en la ciencia, no sólo como beneficiarias, sino también como agentes de cambio, ayudará a acelerar el progreso hacia la consecución de los objetivos de desarrollo sostenible. En esta sección conoceremos la opinión de María Isabel Olarte quien fue Participante y representante de Colombia en OLAA2018, OLAA2020, OLAA2021, IOAA2018, IOAA2019, GeCAA2020, IOAA2021
María Elisa Forero Vivas: dedicación y pasión por la investigación
Authors: Mendez Garcia Germán Augusto
Published: March 2024

En la sección de "Personajes UAN", se rinde homenaje a la destacada trayectoria académica de la Profesora María Elisa Forero Vivas, una orgullosa nativa de Bogotá con raíces cundiboyacenses. Desde una edad temprana, la profesora María Elisa mostró un profundo interés por las ciencias. Su fascinación por este campo se despertó durante sus estudios de primaria, cuando llevó a cabo un experimento sobre la germinación de semillas de frijol, haba y arveja. Quedó impresionada al presenciar el proceso de germinación y descubrir que dentro de cada grano había una planta en potencia. Observar cómo una planta completa surgía de una semilla con el tiempo, agua y aire fue el punto de partida de su asombro, curiosidad y deseo de cuestionar, marcando así el inicio de su viaje en el mundo de la ciencia.
Alteraciones oculares causadas por exposición al arco de soldadura. Revisión de tema
Authors: Castillo Diego Andrés , Reyes Clavijo Ligia Soraya , Vásquez Melo Eliana Carolina
Published: March 2024

Se realizó una revisión descriptiva de literatura comprendida entre los años 1972 hasta el año 2016 sobre las principales alteraciones causadas por exposición al arco de soldadura, encontrando como resultado que las estructuras más afectadas son las de segmento anterior tales como párpado, conjuntiva, córnea y película lagrimal, siendo la de mayor prevalencia la queratoconjuntivitis; de igual manera, pero en menor proporción hay afectaciones en el cristalino, úvea, coroides y retina. De acuerdo con la severidad de las patologías estas puede llevar a la ceguera del paciente, en forma parcial, o total; cabe resaltar que los elementos de protección y el tiempo de exposición al arco de soldadura también juegan un papel muy importante en el desarrollo de estas alteraciones.
Comparación entre el electrooculograma y el test de DEM como métodos de evaluación de los movimientos sacádicos.
Authors: Solano C Oscar Fabián , Reyes Clavijo Ligia Soraya
Published: March 2024

El presente estudio tuvo como objetivo determinar si existe relación entre la señal brindada por el EOG y el diagnóstico obtenido por el DEM en estudiantes de la Facultad de Optometría de la Universidad Antonio Nariño; bajo un diseño observacional descriptivo de corte trasversal en veinticinco (25) sujetos, a los que se realizó evaluación optométrica, test de DEM y EOG. Se caracterizó la señal electrooculográfica y se comparó con los diagnósticos brindados mediante el test DEM, se hizo un análisis estadístico y de comparación de las señales en los diferentes grupos. La edad promedio fue de 23,2 años; se identificó que el 76% de la muestra presentaron conducta T1; el 16% T2 y el 8% T3; con un tiempo promedio de lectura en el Test C de 32,67 seg con una desviación estándar de 5,86 seg. Dentro de los resultados de EOG se encontraron picos con amplitudes promedio en los diferentes grupos: T1 0,18 mV; T2 0,15 mV y T3 de 0,28 mV.
Exploring the potential of federated learning for diffusion model: Training and fine-tuning
Authors: Chen Shuo
Published: March 2024

Diffusion models, a state-of-the-art generative model, have drawn attention for their capacity to produce high-quality, divers, and flexible content. However, the training of these models typically necessitates large datasets, a task that can be hindered by challenges related to privacy concerns and data distribution constraints. Due to the amount of data and hardware required for large model training, all centralized training will be done by large companies or labs with computing power. Federated Learning provides a decentralized method that allows for model training across several data sources while maintaining the data's localization, reducing privacy threats. This research proposes and evaluate a novel approach for utilizing Federated Learning in the context of diffusion models. This paper investigates the feasibility of training and fine-tuning diffusion models in a federated setting, considering various data distributions and privacy constraints. This study used the Federated Averaging (FedAvg) technique to train the unconditional diffusion model as well as to fine-tune the pre-trained diffusion mode. The experimental results demonstrate that federated training of diffusion models can achieve comparable performance to centralized training methods while preserving data locality. Additionally, Federated Learning can be effectively applied to fine-tune pre-trained diffusion model, enabling adaptation to specific tasks without exposing sensitive data. Overall, this work demonstrates Federated Learning's potential as a useful tool for training and fine-tuning diffusion models in a privacy-preserving manner.
DeBERTa with hats makes Automated Essay Scoring system better
Authors: Wang Shixiao
Published: March 2024

Automated Essay Scoring (AES) is a rapidly growing field that applies natural language processing (NLP) and machine learning techniques to the analysis and evaluation of academic essays. By automating the process of evaluating essay quality, AES not only greatly reduces the workload of human graders but also ensures consistency and objectivity in the evaluation process. AES systems can evaluate essays based on multiple criteria, including organization, coherence, and content. With the advent of deep learning, AES has shown significant improvements in accuracy and reliability. AES systems have numerous applications in education, particularly in large-scale assessment and feedback loops. In this article, we delve into the use of an improved Bidirectional Encoder Representations from Transformers (BERT) architecture with disentangled attention mechanism known as DeBERTa for student question-based summarization. This is one of the downstream tasks within AES, which is of great significance for student learning assessment. The organic combination of DeBERTa-v3 and diverse hats like Light Gradient Boosting Machine (LGBM) algorithm and Extreme Gradient Boosting algorithm (XGBoost) has proven to be highly effective in achieving excellent results in this task, indicating their significant potential in real-world AES systems.
An analysis of different methods for deep neural network pruning
Authors: Gou Longxiang , Han Ziyi , Yuan Zhimeng
Published: March 2024

Neural network pruning, the process of removing unnecessary weights or neurons from a neural network model, has become an essential technique for reducing computational cost and increasing processing speed, thereby improving overall performance. This article has grouped current pruning methods into three classeschannel pruning, filter pruning, and parameter sparsificationand discussed how each method works. Each approach has its own strengths: channel pruning is particularly useful for reducing model depth and width, filter pruning is more suitable for maintaining model depth while decreasing storage requirements, and parameter sparsification can be applied across various network architectures to achieve both storage and computational efficiency. This work will delve into how each method works and highlight key related works of each category. In the future, it is expected that future research in neural network pruning could focus on developing more sophisticated techniques that can automatically identify important weights or neurons within a network.
A comparative study of machine learning-based Chinese dialect speech recognition
Authors: Xi Xinrui
Published: March 2024

As the official language of China, Mandarin is used on all formal occasions. However, due to China's rich history and vast population, dialects have become the primary language spoken by many people. While not taught in school, dialects serve as unofficial languages in China and are passed down through word of mouth. In recent years, the use of dialects has significantly declined as people have adapted to using official Mandarin in all settings. However, among the elderly, dialects remain the primary language of communication. The great need to use dialects as the primary mode of communication has laid the foundation for the importance and high demand for dialect speech recognition. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, research on this topic is further analysed and compared. The results suggest that there has been a certain degree of development and progress in dialect speech recognition technology. However, further research is needed to overcome the limitations of low-resource language speech recognition.
Risk Factors for Revision of External Fixation of Unstable Ankle Injuries
Authors: Schlauch Adam M. , Shah Ishan , Crawford Benjamin , Piple Amit , Krosin Michael
Published: March 2024

Introduction:

External fixation of unstable ankle injuries is commonly done by orthopaedic surgeons. An improper technique can negate the benefits of the procedure and necessitate revision. This study sought to determine the risk factors for revision of external fixation of unstable ankle injuries.

Methods:

Retrospective cohort at a level I academic trauma center of 120 consecutive patients underwent external fixation of an unstable ankle injury. Exclusion criteria included external fixation for reason other than fracture, inadequate intraoperative imaging, skeletal immaturity, and follow-up less than 30 days. Primary outcome measurement was revision of external fixation within 30 days.

Results:

Ninety-seven patients met inclusion criteria. Eighteen (18.6%) underwent revision within 30 days of whom 5 (28%, P < 0.001) had a poor reduction intraoperatively. No patients with a good reduction required revision. Revised patients had a significantly higher talar tilt (P < 0.001) and were more likely to lack a first metatarsal pin (P = 0.018). Multivariate analysis revealed talar tilt >0.5° (odds ratio, 22.62; 95% confidence interval, 6.52 to 50.63) as an independent risk factor for revision.

Discussion:

For external fixation of unstable ankle injuries, poor reduction quality is a risk factor for need for revision surgery. Orthopaedic surgeons should be critical of their final intraoperative assessment to prevent revision.
‘Ik ben niet iemand die dat zou vragen, nee’  Aandacht voor de religie of spiritualiteit van adolescenten in mentorgesprekken binnen de residentiële jeugdhulp
 
Authors: Vierwind Gert
Published: March 2024

In Nederland verblijven ruim 18000 jongeren in voorzieningen voor vrijwillige residentiële jeugdhulp. Uit eerder onderzoek blijkt dat meerdere van deze jongeren bij tegenslag en verdriet een hulpbron vinden in een religieuze of spirituele overtuiging, maar dat hiervoor in mentorgesprekken nauwelijks aandacht is. In deze bijdrage wordt verslag gedaan van een onderzoek naar de wijze waarop pedagogisch medewerkers met adolescenten binnen de residentiële jeugdhulp afstemmen op de mogelijkheid dat religie of spiritualiteit in hun leven een rol speelt.
Het betreft een kwalitatief onderzoek op grond van half open interviews in vier instellingen voor residentiële jeugdhulp in verschillende delen van het land. Er zijn in totaal eenentwintig pedagogisch medewerkers en dertien jongeren geïnterviewd.
De conclusie van dit onderzoek is dat de levensbeschouwing van de pedagogisch medewerker (diens persoonlijke visie op de betekenis en waarde van het leven) bepalend is voor de vraag of en hoe de religie of spiritualiteit van de jongere ter sprake komt. Er is sprake is van beperkte levensbeschouwelijke sensitiviteit bij pedagogisch medewerkers. Daarnaast hebben pedagogisch medewerkers én jongeren geen eenduidig beeld van de aard en het doel van mentorgesprekken.
De aanbevelingen richten zich op bezinning op de aard van mentorschap en het bevorderen van levensbeschouwelijke sensitiviteit bij pedagogisch medewerkers.
Major clinical outcomes of the alveolar ridge preservation post-extraction sockets: a systematic review
Authors: Rocha Isabelly Lima , Amorim Monaliza de Souza , Tigre Nathalia Martinez , Scriboni Andreia Borges
Published: March 2024

Introduction: After tooth extraction, the alveolar ridge will commonly decrease in volume and change morphologically. These changes can be difficult or even impede the placement of dental implants and prosthetic rehabilitation. Minimizing bone remodeling means optimizing the esthetics and functional aspects, and mainly, the success of implant treatment. To avoid residual ridge resorption different techniques and bone graft materials have been proposed. Objective:  It was to evaluate the efficiency of the many techniques of extraction socket treatment in the alveolar ridge dimension preservation. Methods: The PRISMA Platform systematic review rules were followed. The search was carried out from November 2023 to February 2024 in the Scopus, PubMed, Science Direct, Scielo, and Google Scholar databases. The quality of the studies was based on the GRADE instrument and the risk of bias was analyzed according to the Cochrane instrument. Results and Conclusion: A total of 158 articles were found, 62 articles were evaluated in full and 34 were included and developed in the present systematic review study. Considering the Cochrane tool for risk of bias, the overall assessment resulted in 28 studies with a high risk of bias and 22 studies that did not meet GRADE and AMSTAR-2. Most studies did not show homogeneity in their results, with X2=63.6%>50%. It was concluded that the application of autologous growth factor concentrate after surgical extraction offers an easy, low-cost, and efficient option for preserving the alveolar ridge. Therefore, the use of autologous growth factor concentrate by dentists during tooth extractions can be encouraged, especially when preservation of the alveolar ridge is necessary. The present study suggests that the alveolar graft technique may increase the risk of disease transmission, cost, and time of treatment. Several studies have stated that the graft material is not fully incorporated into the newly formed bone, indicating less vital bone tissue. Spontaneous scarring is still the most used feature since, in intact alveoli and small defects, it is a procedure that does not present significant losses that justify the use of edge preservation techniques. In larger defects, techniques after spontaneous healing, such as a block graft, can be used without the drawbacks of alveolar grafting, such as delayed healing and poor bone qualit.
تأثير برنامج عالي اللياقة في تطوير تحمل الأداء للاعبات مسابقة تحدي المهارات في كرة السلة
Authors: هدير فلاح عبد الصاحب  , فاطمة عبد مالح  , نوزت ديمرجي
Published: March 2024

مسابقة تحدي المهارات الأساسية في كرة السلة من المسابقات الرياضية التي تم استحداثها في الآونة الأخيرة ، وتعتمد في طريقة لعبها على المهارات الفردية للاعبات وسرعة اداءهم مع الدقة والتركيز العالي طول مدة الأداء لتلك المهارات, لذا يتطلب ذلك تحمل خاص لأداء تلك المهارات بكفاءة وسرعة عالية ,  وتتجلى أهمية الدراسة من خلال استثمار تمرينات (الكروس فت) في تطوير تحمل الاداء الذي يساعد اللاعبات على الاستمرار في أداء المهارات وتكراراتها المتنوعة طول مدة المباراة, حيث وجدت الباحثتان انخفاض مستوى تحمل الاداء بين حين وآخر في أثناء المسابقة أو في دقائقها الأخيرة ، إذ يصبح اللاعبات في وضع صعب ويتطلب منهن أداء عمل بدني ومهاري مشترك عالٍ أمام انخفاض مستوى تحمل الاداء , لذا اعدت الباحثتان  تمرينات الكروس فت التي توفر حافزاً مهماً للاستمرارية في الأداء ومقاومة للتعب, واستخدم المنهج التجريبي بالاختبار القبلي والبعدي للمجموعتين التجريبية والضابطة لملائمته طبيعة البحث, وتم تحديد مجتمع البحث من لاعبات نادي الصناعات الكهربائية الرياضي للموسم الرياضي 2023, والبالغ عددهن (14لاعبه)، اذ تم اختيار عينة البحث بأسلوب الحصر الشامل وقسمت العينة الى مجموعتين التجريبية والمجموعة الضابطة وبواقع ( 7 لاعبات) لكل مجموعة وتم تطبيق اعداد تمرينات الكروس فت ولمدة ثمانية أسابيع وبواقع ثلاث وحدات تدريبة في الأسبوع الواحد واستعملت برنامج الحزمة الاحصائية للعلوم الاجتماعية SPSS  لمعالجة النتائج وتوصل الباحثتان إلى ان تمرينات الكروس فت لها اثر ايجابي في تطوير تحمل الاداء للاعبات مسابقة تحدي المهارات الاساسية بكرة السلة, وهذا ما يحقق احد اهداف التنمية المستدامة للامم المتحدة في العراق (الصحة الجيدة).
O ENSINO SUPERIOR E O DESENVOLVIMENTO LOCAL NO MUNICÍPIO DE GOIATUBA NO ESTADO DE GOIÁS
Authors: Branco Lucivone Maria Peres de Castelo , Pontes Alzair Eduardo , Lima Júnior Wilson Simões de , Oliveira Samuel de
Published: March 2024

O crescimento e desenvolvimento são temas de interesse da teoria do desenvolvimento regional, e as universidades possuem papel relevante no ambiente social, de forma significativa para o desenvolvimento regional, principalmente quando colocadas diante o trinômio básico de atuação: ensino, extensão e pesquisa. A escassez de produção científica regional sobre o tema contribui para justificar e motivar a realização da pesquisa, de tal sorte que os resultados encontrados têm o potencial de servir de base para novas políticas públicas e outras pesquisas científicas na área. O objetivo do estudo visa aprofundar conhecimentos sobre o tema de desenvolvimento regional/local, tendo como elemento básico de análise o ensino superior em uma instituição de ensino superior em Goiatuba no estado de Goiás. Trata-se de uma pesquisa de caráter interdisciplinar na área das ciências humanas e sociais. A metodologia utilizada foi composta pela pesquisa bibliográfica e documental, cuja análise crítica comporta o confronto de dados e literatura científica afetos ao tema. As representações gráficas demonstram como a educação evoluiu em conjunto com o PIB per capita e o IDHM, e como uma região pode mudar conforme as condições de educação aplicadas nela. A IES no Município de Goiatuba se apresenta como fator relevante no desenvolvimento do município, pois a educação é um componente que contribui para o desenvolvimento da consciência e da ação, pois afeta como as pessoas são formadas. Os resultados da pesquisa demonstram as contribuições com o desenvolvimento local/regional, e que os conhecimentos adquiridos e produzidos na IES atendem as necessidades locais e regionais e abrangência do desenvolvimento do capital humano local influenciado conforme a evolução da IES.
PERDA DE CONHECIMENTO EM INSTITUIÇÕES PÚBLICAS DE ENSINO: PROBLEMAS, SOLUÇÕES E DESAFIOS
Authors: Chagas Luiz Gustavo Duarte , Nunes Lucas Felipe da Silva , Rosa Adriano Carlos Moraes , Mantovani Kátia Cristina Cota , Santos Doroteia Soares dos , Gatto Vanessa Cristhina
Published: March 2024

Muitos alunos ingressantes em instituições públicas de ensino, especialmente em nível técnico e superior, querem saber como são lecionados os conteúdos nela. Além disso, professores e alunos veteranos se aproveitam muito de conceitos e padronizações feitas pelos que passaram antes dele na instituição em seus estudos ou trabalhos nela. No entanto, há pouca gestão dos conhecimentos mais cotidianos nessas instituições, o que atrapalha o desenvolvimento dos envolvidos com elas e, portanto, sua contribuição com a sociedade. Este artigo busca estudar, primeiramente, como a perda de conhecimento ocorre nas instituições de ensino, quais são exatamente os tipos de conhecimento perdido e quem é afetado por isso. Com base nisto, estuda-se também quais as vantagens de se reter estes conhecimentos, quais os desafios envolvidos e algumas propostas para coleta, armazenamento e inovação na gestão desses dados que já são aplicadas. A metodologia utilizada foi a pesquisa básica, qualitativa e exploratória dos conceitos envolvidos na gestão de conhecimento organizacional, das vantagens e desafios de sua aplicação nessas instituições, dos tipos de conhecimento e das soluções já implementadas nelas para solucionar este problema. Essa pesquisa foi realizada em caráter bibliográfico, analisando livros, apostilas e artigos científicos sobre as temáticas, e documental, para encontrar informações sobre as soluções. Encontrou-se que o tipo de conhecimento mais perdido é o tácito, sendo os principais afetados por isso os alunos mais novos, que as principais vantagens da retenção do conhecimento acadêmico são melhorar o aprendizado e o ambiente de estudo, que os principais desafios são contratuais, administrativos e arquivísticos e que as soluções já implementadas não resolvem toda a questão, mas podem contribuir para uma solução maior. Concluiu-se que as instituições precisam investir em criar uma solução que abranja toda a questão, incentivar os seus colaboradores a participarem dela e moldar a sua gestão para ter esses valores.
Evaluation of the changes of SpCO index in patients with inhalation injury
Authors: Nguyen Thai Ngoc Minh , Dao Thanh Tuyen , Pham Ngoc Anh , Nguyen Thi Tu
Published: March 2024

Objective: Evaluate the variation of SpCO index with clinical symptoms, medical support pre-hospital, and mortality rate of inhalation injury patients.Subjects and methods: Prospective descriptive study with longitudinal follow-up in inhalation injury patients at the Intensive Care Unit - Le Huu Trac National Burns Hospital from March 2022 to May 2023. 50 patients with inhalation injuries were hospitalized within the first 72 hours. Patients were treated according to the treatment regimen for inhalation injury and CO poisoning. Subclinical and clinical symptoms were recorded and compared. The data was processed using STATA 16.0 software.Results: The average SpCO index upon admission in the study patients was 15.7%. 24 patients admitted to the hospital before 5 hours had an average SpCO index was 8.3 ± 7.6%. 88% of patients were hospitalized within 12 hours of the accident. Medical support pre-hospital: Oxygen supply 63.3%, endotracheal intubation 35% and mechanical ventilation 25%. Respiratory assessment indicators including SpO2 and average PaO2 were high and had no statistical difference. Patients with a severe grade of inhalation injury have a high SpCO index upon admission. The mortality rate was high (> 70%) and the SpCO index at admission has no relationship with mortality rate.Conclusion: Patients with CO poisoning were hospitalized early, the SpCO index decreased over time and did not correlate with treatment outcome. Patients with more severe inhalation injuries had a higher SpCO index upon admission. Symptoms are non-specific mortality rate was high, causing confusion and making it difficult to diagnose and predict inhalation injury patients.
Pathogenic microbiota in the oral and nasal cavity of healthy individuals as a potential source of infections
Authors: Hoang Van Tong , Bui Tien Sy , Nguyen Phong Thau , Nguyen Thanh Viet
Published: March 2024

Oral microbiota is personalized and varied among human habitats. Detection and identification of pathogenic bacteria and fungi are considered as a strategy for the prevention and control of infectious diseases. To date, no studies have investigated the prevalence of bacterial pathogens and fungi in healthy individuals in Vietnam, particularly the ethnic minorities.This study aimed to evaluate the presence of aerobic bacteria and fungi in the oral and nasal cavities of Jrai healthy individuals in the Central Highland. Oral and nasal swab samples of 140 healthy Vietnamese were collected. Microbiological procedures were performed using standard techniques. A total of 220 bacterial isolates were identified. Of which, 10% (22/220) were potentially pathogenic species including Klebsiella pneumoniae, Pseudomonas aeruginosa, Acinetobacter baumannii, Escherichia coli, Neisseria meningitidis, and Staphylococcus aureus. The most predominant bacteria family was Moraxellaceae (40%, 88/220), followed by Streptococcaceae (36.82%, 81/220). Fungi were not detected in all samples. The oral and nasal cavity of healthy individuals harbors high frequencies of bacterial pathogens, suggesting its potential role as a source for these species. These pathogenic bacteria constitute the threat of their spread and the development of general infections. Infectious microbiota from the oral and nasal cavity should be examined as a preventive screening to control infectious diseases.