bluuebunny/crossref_metadata_2025 huggingface dataset:
MANAGEMENT PROTOCOL OF ACUTE HYDRONEPHROSIS IN PREGNANCY
Authors: IQBAL M , AKHTAR M , ALI A , JADOON MT , LODHI I
Published: August 2024

Acute hydronephrosis during pregnancy poses significant management challenges due to the physiological changes and risks associated with the intervention. Addressing this condition effectively requires a multidisciplinary approach and a deeper understanding of its clinical management. Objective: This study aims to evaluate a comprehensive care strategy for managing acute symptomatic hydronephrosis in pregnant women by analysing various treatment measures and their outcomes. Methods: A prospective cohort study was conducted at the tertiary care hospital from November 1, 2022, to October 31, 2023. The study enrolled 125 pregnant patients experiencing acute hydronephrosis at any stage of pregnancy. Patients with pre-existing renal disorders, incomplete medical records, or who were untraceable were excluded. Data were collected through extensive electronic and paper medical records searches, focusing on demographic features, clinical presentation, and therapeutic outcomes. The severity of hydronephrosis was classified as mild, moderate, or severe, and the impact of interventions like percutaneous nephrostomy was evaluated. Results: The average age of participants was 28.5 years, with the majority (36%) aged between 25 and 29 and 56% being multigravida. The average gestational age at presentation was 28.2 weeks, and 72% reported flank pain. Hydronephrosis was mild at 30.4%, moderate at 50.4%, and severe at 19.2%. The percutaneous nephrostomy caused complications in 10% of mothers and 5% of fetuses, while postoperative complications were more pronounced, affecting 25% of mothers and 20% of fetuses. Conclusion: The study provides valuable insights into the effective management of acute hydronephrosis during pregnancy, highlighting the demographic characteristics, clinical manifestations, and outcomes of different treatment modalities. The findings suggest that while percutaneous nephrostomy is a relatively safe procedure, it still poses significant risks, necessitating careful consideration and a tailored approach for each patient.
Comparing healthcare service utilization in insured vs. noninsured households in Rural Atsbi Womberta, Ethiopia
Authors: ABDELKADIR Kedir Seid , HAGOS Binega Hailesilasie
Published: August 2024

Community-based health insurance schemes (CBHI) in Africa are gaining attention due to high healthcare costs in developing nations, affecting 6% of individuals in extreme poverty. The World Health Organization emphasizes the need for sustainable health funding schemes to ensure access to health services. Ethiopia faces poor healthcare funding, making it one of the world's poorest nations. Tigray implemented community-based insurance as a pilot study in 69 rural communities since 2010. The objective of this study was compare differences in healthcare service utilization between community-based health insurance among insured and non-insured households in rural Atsbi-Wemberta district. A community-based comparative cross-sectional study with a qualitative approach was conducted on 172 households. Data was analyzed using SPSS, and inferential statistics were used to measure factors' association with outcome variables. A study in Kebelle revealed that the majority of respondents were female-headed, engaged in both insurance schemes, and had higher education levels. Marital status was also significant, with 89% living with their families. The majority were married, with 91.8% insured and 86.0% uninsured. Family size and income were significant factors, with high-salary households less likely to be members of the CBHI scheme. The study found that most participants considered themselves intermediate healthcare providers, with limited service due to affordability and segregation. The study suggests increasing healthcare service utilization by introducing CBHI to improve access to healthcare and promote good governance. However, the study faces criticism for unfairness and insufficient benefits for non-insured participants. Household were enrolled in CBHI (56.2%) were more probable to use health care service than households who were not enrolled (43.8%) (χ2=21.359, p<0.001). Community Benefits Insurance (CBHI) has increased healthcare utilization among insured households due to reduced illness costs and increased healthcare professional involvement. Factors like income, family size, and travel time contribute to higher utilization. However, challenges include lack of knowledge and community awareness.
Trademark Right Protection in Electronic Commerce: Challenges and Countermeasures
Authors: Jiao Xinrui
Published: August 2024

As a vital element of core intellectual property for businesses, trademarks play a crucial role in upholding brand image, safeguarding consumer rights, and fostering fair market competition. This paper aims to delve into the challenges encountered in trademark rights protection within e-commerce based on relevant content from trademark law. It further proposes corresponding legal strategies to address these challenges with the goal of promoting sustained and healthy growth within the e-commerce industry. This study uncovers complexities and covert nature associated with trademark infringement activities in e-commerce, as well as widespread cross-border trade infringements and high costs related to evidence collection and rights protection. Corresponding measures to address these issues are then proposed. The research findings underscore the significance of refining laws and regulations, bolstering international cooperation and judicial assistance efforts, intensifying enforcement measures and penalties, as well as establishing robust mechanisms for protecting rights. This paper holds substantial importance in advancing a healthy environment for e-commerce industry development, maintaining equitable competitive market conditions, safeguarding legitimate rights of trademark holders and consumers, and propelling forward intellectual property protection system construction within the realm of e-commerce.
Digital Democracy: Enhancing Democratic Participation and Political Transparency Through Digital Technologies
Authors: Bi Ran
Published: August 2024

Digital democracy, facilitated by advancements in digital technologies, offers transformative potential for enhancing democratic participation and political transparency. This paper examines the application of digital voting systems and online citizen participation platforms in modern democratic processes. By leveraging these technologies, we can significantly improve voter accessibility, streamline election processes, and foster more inclusive civic engagement. Additionally, digital tools such as open data initiatives, transparency portals, and digital accountability mechanisms can enhance governmental transparency and accountability. However, challenges such as security concerns, digital divides, and misinformation must be addressed to fully realize the benefits of digital democracy. Our analysis underscores the need for robust security measures, inclusive access strategies, and continuous innovation to ensure the effective implementation and sustainability of digital democratic practices.
Availability of AI and AI Anchors in Social MediaTake TikTok as an Example
Authors: Jiang Jiaze
Published: August 2024

New media technology is booming, and social platforms continue to update media-related functions. Many platforms with live broadcast functions are gradually pouring in AI anchors as substitutes for human anchors who work continuously for 24 hours. AI anchors were mainly used to replace professional hosts at the beginning for the main purpose of disseminating information, and then AI anchors were used for entertainment, forming a popular situation. As live anchors face different traffic in different time periods, they need high-intensity working hours, which leads to high signing fees, excessive work pressure and other body-related occupational diseases. More and more live broadcasting unions begin to use AI anchors for live broadcasting, which has now played a role in live broadcasting e-commerce. In terms of possible problems, the future AI anchor still has problems in terms of user positioning and user acceptance, but it has certain positive effects on reducing labour costs, improving network quality and delivery accuracy.
Comparative Study of AI Textbooks for Primary and Secondary Schools
Authors: Han Jun , He Yang , Yan Wenyu , Liu Jing
Published: August 2024

With the development of information technology, artificial intelligence (AI) has become a new focal point of international competition. AI education in primary and secondary schools is gradually becoming an important component of education in the intelligent era in China. Textbooks are a crucial medium for courses, and AI textbooks for primary and secondary schools are the core teaching materials for AI courses. This study examines 18 AI textbooks for primary and secondary schools, based on relevant curriculum standards such as the AI Curriculum Development Standards for Primary and Secondary Schools in China (Trial). Using content analysis and quantitative curriculum difficulty models, the study compares and analyzes the textbooks from five dimensions: teaching arrangement logic, textbook content, textbook usage conditions, textbook evaluation, and textbook difficulty. The study concludes that the textbooks have systematic teaching arrangement logic, though some lack learning objectives; the content is contemporary, but the knowledge system is not comprehensive; the usage conditions are diverse, but some schools lack the necessary implementation environment; and the difficulty is moderate, though there is a gap compared to the curriculum standards.
Research on the Cultivation Mode and Path of Innovation and Entrepreneurship Ability of Computer and Electronic Engineering College Students under the Background of Artificial Intelligence
Authors: Liu Xuezhu
Published: August 2024

As a disruptive technology, artificial intelligence has affected global economic development on multiple levels. With the widespread application of artificial intelligence technology in various industries, the market demand for artificial intelligence technology and applications continues to grow, providing college students with opportunities to participate in emerging industries. College students can create new products and services and achieve technological innovation with the continuous development of artificial intelligence technology. This paper adopts the method of literature review, and combines the existing artificial intelligence background to explore the possibility of using artificial intelligence as an auxiliary tool for cultivating college students' innovation and entrepreneurship ability. Combining cutting-edge theories with a variety of practical explorations, this paper finally forms a set of methodologies for computer and electronic engineering college students to complete learning and entrepreneurial practice through artificial intelligence in the stage of university education.
Exploring the Identity of Chinese Cultural Relics on British Museum Websites Through Multimodal Discourse Analysis: A Case Study of the Official Website
Authors: Feng Heting
Published: August 2024

The aim of this study is to explore the re-construction of Chinese cultural identity in the British Museum's official website and analyze how its exhibition strategies influence the audience's perception and understanding of Chinese artifacts. By employing a multimodal discourse analysis method that combines textual and visual analysis, the study examines how the British Museum's official website presents the identity of Chinese artifacts from cultural, contextual, and formal perspectives. Additionally, utilizing the identity theory from a constructivist perspective, the study analyzes how identity is dynamically constructed, negotiated, and communicated through discourse. The research findings indicate that the identity of Chinese artifacts displayed on the British Museum's official website is relatively weak, suggesting room for more improvements. It is recommended to establish cooperative relationships with museums in the countries of origin of the artifacts to maintain the connection between artifacts and their original cultures, thereby promoting the inheritance of cultural heritage.
Application of artificial intelligence in the field of engineering management
Authors: Gao Hanyuan
Published: August 2024

The primary topic of this work is the utilization of artificial intelligence (AI) in the domain of engineering management. This paper provides an overview of the application history, development trend, and research goal and significance of artificial intelligence in the field of engineering management. This paper, through a method of literature review, thoroughly examines the theoretical foundation of artificial intelligence in engineering management and showcases its practical implementation in intelligent decision support and intelligent monitoring using real-life examples, and the effectiveness of these applications is assessed qualitatively. Furthermore, this paper examines the challenges faced by artificial intelligence in engineering management applications, including data collecting and model optimization, and suggests appropriate risk response tactics. The research concludes by summarizing the primary effort, achievements, and breakthroughs, and provides a prospective outlook on the future development of artificial intelligence in the field of engineering management.
Analysis of the applications of probability and statistics in modern science
Authors: Song Zixuan
Published: August 2024

Probability and statistics are really important in modern scientific research. They give the basic theories and tools for doing scientific research and are used in lots of different areas, which helps science and society move forward. This paper wants to find out how probability and statistics are used, why they are important, and what the future might hold for them in modern science. It starts by explaining basic concepts and methods like probability distributions and hypothesis testing. Then, it looks at how they are used in medicine, economics, engineering, and other areas. It also talks about why they are important in scientific research, including analyzing data and helping with decisions. Finally, it sums up how crucial probability and statistics are in modern science and suggests ideas for future research. This paper finds that probability and statistics are crucial in modern science and are used in lots of areas like medicine, economics, and sociology. They are not only useful for scientific research, but also for solving practical problems. This study helps us understand how important probability and statistics are in modern science. It gives ideas and insights for improving how people use them, and its useful for researchers to work together across different areas.
How does the period of a pendulum vary with the number of strings?
Authors: Yin Victoria Ziling
Published: August 2024

This article serves as an extension of analysis of a simple pendulum, a typical example of simple harmonic motion and a common topic in high school physics syllabus. Since the analysis of a simple pendulum ignores the mass of the string in order to model the system as a point mass, a more complex pendulum system consisting of heavy strings and a pendulum bob is explored in this article. Based on theoretical analysis of the model, a relationship between the number of strings and the period of the pendulum is investigated. An experiment was also conducted on a pendulum system using copper wire, a glass bob, a stand, clamps, a clip and a stopwatch. To obtain more accurate results, time taken for five periods was measured three times for each number of strings. A graph is drawn based on data acquired from the experiment and the theoretically deduced relationship is therefore verified. Further study of the general expression for the period of an object that cannot be modelled as a point mass oscillating about a fixed axis is involved. Application of the principle that a change in the position of the center of mass of a pendulum causes a change in its period in Big Ben is also discussed along with a brief introduction of its pendulum structure.
Pneumonia image classification using convolutional neural network
Authors: He Zhili
Published: August 2024

Throughout history, humanity has continually faced numerous unforeseen health crises, thereby emphasizing the utmost significance of harnessing cutting-edge technology and scientific approaches to proactively anticipate and tackle potential outbreaks. In the context of the COVID-19 pandemic, the utilization of CT scans has proven to be an indispensable asset in accurately detecting and diagnosing individuals afflicted with COVID-19. By virtue of their advanced imaging capabilities and ability to capture detailed internal images, CT scans have emerged as a pivotal diagnostic tool in the fight against this infectious disease. The objective of this study is to improve the precision and effectiveness of COVID-19 diagnosis by employing a convolutional neural network (CNN) model architecture specifically tailored for the analysis of CT images. We conducted a comprehensive analysis of the current body of literature to investigate the clinical features, imaging manifestations, and image-based diagnostic methods of COVID-19. This study examines the application of deep learning models in the diagnosis of COVID-19, specifically emphasizing the utilization of Convolutional Neural Networks (CNNs) as a robust method for analyzing medical images. In addition, we demonstrate experimental enhancements to the CNN model, achieving a diagnosis accuracy of up to 92.80% when evaluated on test data.
Enhancing climate monitoring and prediction: The integration of advanced AI techniques
Authors: Zeng Chuanming
Published: August 2024

As the global impact of climate change intensifies, the importance of climate monitoring is increasingly highlighted. This study explores the application of artificial intelligence (AI) in climate monitoring, particularly focusing on its potential and challenges in handling large-scale climate data and enhancing prediction accuracy. This study provides an in-depth exploration of the application of AI in the field of climate monitoring, with particular emphasis on the critical role of deep learning models in improving the accuracy of climate predictions. We specifically analyze the efficient performance of these models in processing large-scale climate data, as well as their advanced capabilities in identifying complex climate patterns and extreme weather events.At the same time, the research also points out the challenges faced by deep learning models in practical applications, including the lack of interpretability of the model and the high demand for computing resources. This paper discusses the implications of these challenges for the field of climate science and analyzes potential avenues to overcome them through technological innovation and algorithmic optimization.Furthermore, it presents a vision for optimizing AI models to better serve the field of climate science in the future.
Application of large language models based on knowledge graphs in question-answering systems: A review
Authors: Wang Yani
Published: August 2024

The integration of Knowledge Graphs (KGs) and Large Language Models (LLMs) is emerging as a transformative advancement in AI, particularly within Question Answering (QA) systems. Traditional QA systems, constrained by static knowledge bases, have struggled with multimodal queries and personalized responses. The deep integration of KGs and LLMs offers a novel approach, combining the structured, contextual understanding of KGs with the semantic parsing capabilities of LLMs. This review explores the methodologies, algorithms, datasets, and applications of KG-LLM integration in QA systems, highlighting key research that enhances model performance, reasoning, and domain-specific applications. It addresses technical challenges such as data consistency, semantic understanding, and system optimization. Future directions focus on improving intrinsic model performance and achieving deeper integration of KGs and LLMs. This comprehensive overview underscores the potential of KG-LLM synergy to significantly improve service quality across diverse industries, including education and healthcare.
Damage identification of statically indeterminate trusses based on Bayesian updating
Authors: Liu Jiangyan
Published: August 2024

Amidst China's rapid development, most structures and edifices have advanced into the mid-service life phase, where components and frameworks gradually undergo aging and deterioration. Ensuring the safety and functionality of buildings necessitates a heightened emphasis on structural health assessments. This study aims to explore a more cost-effective and time-efficient diagnostic strategy for detecting damage in statically indeterminate trusses, while exploring techniques to uphold data precision by reducing loading nodes and measurement parameters. Employing OpenSees for model construction, this paper utilizes Bayesian updating through Monte Carlo rejection sampling to pinpoint damage in statically indeterminate trusses. Moreover, it unveils the fundamental principles behind optimal loading and measurement strategies. Findings from conducted experiments advocate for a comprehensive approach integrating displacement measurements across multiple axes for enhanced accuracy, surpassing single-direction measurements. Validation of the virtual work principle underscores this method's efficacy. Ultimately, this methodology holds promise for curbing engineering expenses and amplifying operational efficiency in real scenarios.
A comprehensive review of BMS fault analysis in pure electric vehicles
Authors: Su Ruiheng , Lin Zehua
Published: August 2024

Pure electric vehicle technology faces numerous technical challenges during the process of independent research and development, with the safety and endurance of power batteries being particularly critical. The Battery Management System (BMS) is a core factor affecting the performance and safety of electric vehicles. The normal operation of the BMS is essential for ensuring the reliability of electric vehicles. However, in practical applications, the BMS may encounter faults that can lead to a decline in battery performance, a reduction in lifespan, and even trigger safety incidents. Therefore, the development of an efficient and accurate fault analysis and diagnostic system is particularly important. This paper systematically explores the fault issues of electric vehicle BMS, including the composition, working principles, and main functions of the BMS, as well as the classification, level definition, case analysis, and resolution measures of faults. The article also provides a detailed introduction to fault analysis methods, including qualitative and quantitative analyses. Finally, based on recent hot topics and the latest research progress, it is concluded that model-based fault diagnosis will become increasingly important. This paper aims to provide a reference for the development of the field of electric vehicle battery management fault diagnosis technology.
AI integration in supply chain and operations management: Enhancing efficiency and resilience
Authors: Zhang Daren
Published: August 2024

Artificial intelligence (AI) has become a transformative force in supply chain and operations management, offering significant enhancements in efficiency and resilience. This paper examines the integration of AI technologies such as machine learning, predictive analytics, and real-time data processing in demand forecasting, inventory management, logistics, and risk mitigation. By analyzing diverse data sources, AI improves demand forecasting accuracy, reduces inventory costs, optimizes logistics routes, and enhances supply chain visibility. Case studies and data-driven insights demonstrate how AI-driven systems enable companies to adapt to market dynamics, prevent disruptions, and achieve substantial cost savings. The findings suggest that embracing AI is essential for businesses aiming to optimize their supply chain operations and build robust, resilient frameworks capable of withstanding future challenges.
How much do hospital staff know, how much do they care, and what should they know about economic aspects of Diagnosis Related Groups? The case of an Italian children’s hospital
Authors: Modugno Guido , Corelli Tina , Vardabasso Martina , Rachelli Alessandra , Casolino Mario
Published: August 2024

Background: Diagnosis Related Group (DRG) costing enables more efficient therapeutic choices. For this to occur, staff must be aware of the costs of the resources used in the process.Objective: The paper aims to identify potential information gaps of physicians, nurses, and administrative staff regarding economic aspects. It explores the intersection of financial awareness and the perceived importance of economic factors to evaluate the information deficiencies across these professional groups.Methods: The costs of DRG 546 different phases are estimated. Data on economic factors awareness (EFA) and economic factors importance (EFI) are gathered through a questionnaire. The survey involved 61 Italian employees of an Italian children’s hospital among physicians, nurses, and administrative staff.Results: A trade-off emerges between the scarce knowledge of the DRG economic aspects and their importance for physicians and nurses. Awareness of economic aspects does not depend on years of seniority.Conclusions: Economic factors awareness is low, although the staff considers this issue important. An information gap needs to be addressed. Clinical staff are partially aware of the costs of the activities in which they are directly involved, but they are unaware of other economic aspects of the therapeutic process. Nurses are the professional group with the lowest cost awareness. Different professional groups require different financial information. Physicians and nurses should be aware of relevant costs and the cost of activities with negligible impact on patient outcomes.Potential implications: Administrative offices often do not know what economic data could be helpful in the physicians’ or nurses’ decisions. In addition, medical and nursing staff do not know precisely what information to ask for. Workgroups composed of administrative and healthcare staff should define what relevant financial data should be provided and how.
IMAGE ENCRYPTION TECHNIQUE BASED ON A BINARY COMBINATION OF MULTIPLE CHAOTIC MAPS AND DNA SEQUENCE OPERATIONS
Authors: Yassin Nisreen
Published: August 2024

The huge advance of digital communication and networks has led to enormous storage and transmission of information over public networks. Nevertheless, the assurance of information security remains incomplete across these unsecured networks. Digital images are the primary means for sharing information over open networks. Consequently, the confidentiality of digital images during storage and transmission has become a crucial concern, particularly when sharing sensitive information. Image encryption has emerged as a solution to this problem. This paper presents an image encryption technique based on multiple one-dimensional chaotic maps and DNA coding. The method employs three one-dimensional chaotic maps, including the Logistic map, Tent map, and piecewise map, multiple times to produce 18 random sequences with different initial values and parameters. SHA-512 hash function is used to indicate the initial values of chaotic maps. For encrypting images, the binary elements from various sequences of chaotic maps are amalgamated to alter the pixel intensities of the image in the diffusion process. Dynamic DNA coding is performed through a random selection of DNA rules and operations (XOR, XNOR, and Addition) to each pixel in the image. The technique is enforced using circular rotations which are applied randomly to each key. The proposed technique is evaluated using many standard images. Different performance metrics have been measured. The empirical findings illustrate the security and resilience of the suggested method and its ability to resist statistical and differential attacks.
Pricing Decision and Cancellation Strategy Selection of ''Hotel+Online Platform''
Authors: Xie Guosheng , Zhang Li
Published: August 2024

Based on the consumer's cancellation behavior, a “Hotel + online platform” dual-channel supply chain model consisting of a single hotel and a single online platform is constructed, based on the theory of consumer utility, this paper constructs the demand for rooms in the supply chain, and analyzes the profit of the hotel side, room pricing and cancellation strategy under the competition-cooperation relationship by using the Stackelberg game model. The research shows that in the hotel's dual-channel supply chain, the selection of unsubscribing strategy for official direct sales channels and online agency platforms and the pricing of rooms are affected by the probability of unsubscribe, the cost of unsubscribing, consumers' preference level for online platforms and commission rates; when both direct sales channels and online platforms adopt non-unsubscribe strategies, the profits and pricing of both parties are independent of the cost of unsubscribing. When the hotel direct sales channel adopts the unsubscribed strategy, then the room price increases with the increase of the cost of unsubscribing; at the same time, when the online platform chooses the unsubscribed strategy, the preferential amount  is decreases with the increase of the cost of unsubscribing; on the contrary, it increases with the increase of the cost of unsubscribing. When consumers have a high preference level on the online platform, the  strategy is the optimal strategy.
GOVERNO DIGITAL: CONTRIBUIÇÕES DO GOV.BR NA MODERNIZAÇÃO DA GESTÃO DE PESSOAS DA ADMINISTRAÇÃO PÚBLICA FEDERAL
Authors: Oliveira Wellington Cardoso de , Cardoso Edna Tavares Sousa
Published: August 2024

Todos dias milhares de cidadãos têm a necessidade de utilizar algum serviço público ofertado pelo Estado. Nos mais de quinhentos anos de existência do Brasil, a oferta de serviços públicos passou por diferentes etapas e processos. Nos últimos anos, observa-se que o uso das tecnologias da informação e da comunicação tornaram-se uma realidade na vida das pessoas e das instituições tanto públicas como privadas. Nesse contexto, a transformação digital nos serviços públicos é uma exigência de uma sociedade cada vez mais tecnológica. A proposta deste texto é abordar as contribuições da plataforma GOV.BR na digitalização dos serviços públicos com enfoque na modernização da gestão de pessoas na Administração Pública Federal. Seu foco é compreender a modernização da Administração Pública com ênfase na colaboração da plataforma GOV.BR. Trata-se de uma pesquisa de caráter bibliográfico e documental, com análise de cunho qualitativo, envolvendo a seleção, análise e interpretação de conceitos relevantes e emergentes, tais como: Tecnologia da Informação e Comunicação, Governo Digital, Administração Pública, incluindo o GOV.BR.
AÇÃO DE EDUCAÇÃO EM SAÚDE EM RESSUSCITAÇÃO CARDIOPULMONAR E MANOBRA DE DESENGASGO PARA ADOLESCENTES: RELATO DE EXPERIÊNCIA
Authors: Araújo Catarina Flor Silva de , Gramacho Igor de Souza , Fernandes Andréia Guedes Oliva , Baraldi Solange
Published: August 2024

A parada cardiorrespiratória (PCR) e a Obstrução de Vias Aéreas por Corpo Estranho (OVACE), são emergências de grande impacto que necessitam de atenção sanitária e comunitária, sendo as ações de educação em saúde ferramentas potentes no combate da morbimortalidade destes agravos. Objetivo: relatar a experiência de uma ação de educação em saúde para alunos do ensino médio de uma escola pública sobre o Suporte Básico de Vida (SBV) na PCR e OVACE realizada por professores e estudantes de enfermagem de uma Instituição de Ensino Superior situada no Distrito Federal, Brasil. Método: relato de experiencia e análise comparativa dos achados com a bibliografia temática atual. Resultados: a intervenção foi aplicada em três etapas, de teorização, demonstração e aplicação prática em manequins torso. Foram utilizados materiais de apoio, tais como painéis e placas informativas. Discussão: assim como demonstrado na literatura, observou-se interesse do público no assunto e em ações de educação. Ademais, a utilização de instrumentos de simulação de baixa fidelidade trouxe resultados positivos na adesão e fixação dos conteúdos. Conclusão: ações como esta favorecem o acesso ao treinamento em SBV à comunidade leiga e consequentemente contribuem na melhora do prognóstico e na diminuição das chances de sequelas de possíveis vítimas destes agravos.
CARBONATAÇÃO EM CONCRETOS PRODUZIDOS COM LC3 CONSIDERANDO A AGRESSIVIDADE AMBIENTAL
Authors: Brandalize Deborah Claudiane , Savaris Gustavo , Balestra Carlos Eduardo Tino
Published: August 2024

Os cimentos argilosos calcinados (LC3) são utilizados com o propósito de redução do teor de clínquer e consequentemente diminuir as emissões de dióxido de carbono (CO2). Entretanto, seu desempenho sob a perspectiva da durabilidade ainda é um tema em aberto na literatura. Este estudo avalia a carbonatação de concretos produzidos com LC3, considerando quatro diferentes relações água/cimento (0,45-0,65) que atendem as classes de agressividade ambiental. Foi utilizado um teor de cimento entre 355 e 380 kg/m³, proporção de argamassa de 65% e relação agregado/cimento de 4,31. Os corpos de prova foram submetidos aos ensaios de abatimento, resistência à compressão e tração, módulo de elasticidade estático, absorção de água e frentes de carbonatação por meio de ensaios acelerados, sob uma concentração de CO2 de 3,0%, durante 63 dias. Os materiais foram caracterizados pelo método Chapelle modificado, difração e fluorescência de raios X, tamanho de partícula por difração a laser e análise por microscopia eletrônica. Os resultados demonstraram uma redução na trabalhabilidade do concreto com uma diminuição na relação água/cimento, exigindo alto consumo do superplastificante. Os valores de resistência à compressão axial aumentaram entre as idades de 28 e 90 dias em 38,46%, 31,17%, 40,52% e 55,20% à medida que foi reduzido o teor de água. Observou-se semelhança entre os resultados de resistência à compressão e à tração aos 28 dias. Foi identificada uma frente de carbonatação mais profunda em todos os concretos, principalmente quando foi utilizada maior relação água/cimento. Este comportamento está relacionado não apenas à estrutura porosa do concreto, mas ao consumo pozolânico de portlandita devido à presença de argila calcinada nas misturas.
Dihydroartemisinin, an artemisinin derivative, reverses oxaliplatin resistance in human colorectal cancer cells by regulating the SIRT3/PI3K/AKT signalling pathway.
Authors: Shen Xiaodong , Shi Chencheng , Lei Ming , Zhou Rongjian , Liu Shaoqun , Su Chang
Published: August 2024

Abstract. Dihydroartemisinin (DHA), a derivative of artemisinin, has been shown to act as a chemosensitizer of various cancer chemotherapeutic agents both in vitro and in vivo. However, in colorectal cancer (CRC), no study has fo-cused on the effect of DHA on oxaliplatin (L -OHP) resistance. Our study aimed to examine the effectiveness of DHA in reversing the resistance of human CRC cells to L -OHP, as well as its underlying molecular mechanisms. LoVo cells were purchased from ATCC, while LoVo/L -OHP cells were obtained by exposing LoVo cells to progressively increasing concentrations of L -OHP. LoVo/L -OHP were treated with various concentrations of DHA, and cell apoptosis ratio and vi-ability were assessed by flow cytometry and CCK-8. Our results showed that DHA treatment remarkably decreased the viability of LoVo/L -OHP cells and increased the apoptosis ratio. As the mechanism of action, we found that DHA enhanced the expression of Sirtuin 3 (SIRT3) and suppressed the phosphati-dylinositol 3-kinase (PI3K)/AKT signalling cascade. Silencing of SIRT3 reversed the effect of DHA on cell apoptosis and viability by activating the PI3K/AKT axis in LoVo/L -OHP cells. Overall, our study found that DHA has the ability to counteract L -OHP resistance in LoVo/L -OHP cells through the modulation of the SIRT3/PI3K/AKT signalling pathway, suggesting a new research target for CRC treatment.
Prediction of the individual response to treatment of skeletal Class III malocclusions and their long-term stability. A Case Report.
Authors: Duarte-Inguanzo Sergio , Duarte-López Aurora , Zambrano Olga , Luengo-Fereira Jesús
Published: August 2024

Abstract. Predicting the outcome of the treatment and its stability over time is an invaluable tool for the clinician when initiating therapy for correction of class III skeletal malocclusions. This work reports the predicted response to treatment of a 5-year-old female patient with skeletal Class III malocclusion and its long-term stability. The individual prediction cephalometric model of Baccetti and Franchi was applied in this case. As a result of the predictive equation, an in-dividual value of -0.958 was obtained (norm = -0.4065), which predicted a “very good response to treatment”. The Class III malocclusion and anterior crossbite were corrected, and the profile was harmonized with rapid maxillary expansion (RME) and a facemask projecting the maxilla forward 12 mm, in addition to the mandible’s 9° total downward rotation. After 15 years and three months of com-pleting the treatment, the stability of the results was confirmed. In conclusion, the individual prediction cephalometric model used in this case report allowed us to accurately predict the results in facial, skeletal and dental changes and the long-term stability of the treatment of class III skeletal malocclusion.
Ethno-Cultural Identity of Northeast India with Reference to Temsula Ao’s Select Poems
Authors: Chandrasekaran Saranya , Sheela P Karthick  , Rajakumar Guduru
Published: August 2024

Northeast part of India is known for its ethnogenic significance which has many roots of civilization, and it is distinct from the other part of the country. Therefore, the culture of Northeast India faces tremendous challenges due to its vast ethnographic diversity. Temsula Ao, is one of the most widely read and studied women writers of North-East India. She has been the recipient of many awards including the Padma Shri in 2007 and the Sahitya Akademi award in 2013.  She is also a pioneer writer from Nagaland. The main aim of this study is to explore ethno-cultural aesthetics of the Northeast Indian region which exists in Temsula Ao’s poetry. For that purpose, fifteen of her poems are selected from her anthology titled Books of Songs. The select poems were analysed qualitatively.  This descriptive qualitative research methodology deals how Ao-Naga regional people know about human values, beliefs, behavious, and social conditions within their own environmental contexts. The major finding of this paper is in what way Temsula Ao revitalizes Ao-Naga culture and tradition by picturising her region, history and condition of women relating them with nature through her poems. Implications were identified for the people of diverse cultural backgrounds. And, it is concluded that the beauty of a region is retained by the people who have a staunch belief in their traditional cultural values and ethics.
Psychological Manipulation in Political Discourse: A Case Study of Facebook Posts on Urhobo Language Curriculum
Authors: Darah Eyankuaire Moses , Philip Oghenesuowho Ekiugbo
Published: August 2024

Texts, either written or spoken, are of varying types and serve different functions, including serving as a means of socially influencing people through underhanded tactics. In the present study, patterns of how the language used in social media-based political discourse reflects psychological manipulation tendencies on the part of netizens are examined. The goal is to investigate the psychological manipulation types and functions embedded in the texts. The study draws on insights from the perceived role that Facebook posts, comments, replies, and reactions had in the approval of the Urhobo Language Curriculum (UCL). The data for the study was collected from Facebook posts on the subject matter of the Urhobo language curriculum (ULC) made between 2015 and 2016. The discussion in the study is descriptive and leans on inference from addresses’ (evaluative) responses to the identified posts. These responses include comments, replies, and reactions. The approach adopted is based on the assumption that “... the perlocutionary effect of the addresser’s statement is represented in the addressee’s statement” (Boboshko 2015:64). It is argued that the texts used in social-media-based political discourses serve two functions: (i) informing; and (ii) brandishing emotions with the intention of manipulating a target into doing what one wants.
Foreign Language Teaching Anxiety Among Pre-Service Teachers in Kepulauan Riau
Authors: Sayow Eirene Lady Marchela , Pratiwi Theodesia Lady , Purba Hilarius Raditya Priambada
Published: August 2024

In the realm of language education, the influence of governmental regulations on language programs is substantial, as evidenced by Indonesia’s regulatory framework in Law No. 20/2003. This study examines Foreign Language Teaching Anxiety (FLTA) among pre-service English as a Foreign Language (EFL) teachers during their teaching practicum, focusing on the role of fear of negative evaluation, self-perception of language proficiency, and teaching inexperience. Utilizing a mixed-methods research design, quantitative surveys were conducted with 68 respondents, and qualitative interviews were held with five participants in the Kepulauan Riau area. Results from statistical analyses, including regression, indicate that FLTA has a modest impact on the teaching experience of pre-service teachers. Thematic analyses from qualitative data provide deeper insights into the nuanced interplay of factors contributing to FLTA. The discussion highlights the study’s contributions to the field, advocating for the importance of practical teaching experience, mentorship, and adaptive teaching approaches to mitigate FLTA. This comprehensive approach underscores the necessity of addressing anxiety to enhance the competence and confidence of pre-service English teachers, ultimately contributing to more effective language education.
Pengaruh Konsentrasi Garam Yang Berbeda Terhadap Karakteristik Mutu Ikan Kembung (Restrelliger Kanagurata) Asin Dengan Metode Penggaraman Kering (Dry Salting)
Authors: Moh Azrul  , Mile Lukman , Djailani Fernandy
Published: August 2024

This research aims to determine the influence of different salt concentration on the quality characteristics of salted mackerel fhis (restreliger kanagurata) using the dry salting method. This research consists of three treatmen factors with three replications, namely salt concentrations of 5%, 15%, and 25%. The data analysis employs a Completely Randomized Designe (CRP) and is futher tested using Duncan’s method. The best treatmen was determined using De Garmo analysis. The results indicate that the best treatmen for processing dry salted mackerel fhis was whit a salt concentration of 15%, which obtained organoleptic values with the following quality specifications: intact appearance, moderately clean, satisfactory taste, specific type, without additional flavor, solid texture, compact, flexible, moderately dry, nearly natural odor, and slightly added odor. The moisture content was 11.83%, the ash content was 1.49%, and the total plate count was 8.06 x 103.
Analyzing The Factors Shaping Coriolanus Snow's Ambition in “The Ballad of Songbirds and Snakes” Novel by Suzanne Collins
Authors: Abdullah Reflan , Balango Mery , Katili Adriansyah A.
Published: August 2024

This study aims to analyze Coriolanus Snow's ambition and the factors that shape it in Suzanne Collins' "The Ballad of Songbirds and Snakes." Utilizing a social psychology approach grounded in Bronfenbrenner's Ecological Theory, this research explores how the interaction between Snow's personal characteristics and the Capitol's social, cultural, political, and economic environment influences the development of his ambition. Through a descriptive-qualitative analysis of the novel's text, the study reveals that internal factors, such as personality traits, significantly shape Snow's ambition. Additionally, external factors—including cultural norms, school policies, government directives, historical events, and interactions with family, friends, and mentors within the mesosystem—exert a complex and interrelated influence on his behavior and life goals. The findings indicate that Coriolanus Snow's ambition to restore his family's glory by pursuing wealth, power, and influence is shaped by the dynamic interplay of internal and external factors. This study highlights the importance of considering both types of factors to comprehensively understand the development of an individual's ambition.
Analisis Penerapan Metode Analytical Network Process (ANP) Pada Pemilihan Tempat Kost Terbaik di Daerah Kampus ITK
Authors: Sitinjak Daniel Ondi Caesar
Published: August 2024

The Analytic Network Process (ANP) method is an approach that can be used to represent the level of importance from various parties by considering the interconnected relationships between criteria and sub-criteria. This model is a development of the AHP method, thus it has a higher level of complexity compared to the AHP method. In this paper, the issue addressed is the selection of the best boarding house location in the ITK campus area located at Km. 15 Karang Joang, North Balikpapan. This selection is done using the super decision software, aiming to determine the ranking order of boarding houses that have the best quality or alternatives according to the students of the Kalimantan Institute of Technology (ITK) through questionnaire filling and interviews with the students. There are three criteria used in this selection, first is the distance with sub-criteria of distance from the boarding house to the campus and distance from the boarding house to the city. Second, the price criterion with sub-criteria of monthly rent and electricity-water costs, and others. Third, the facilities criterion with sub-criteria of bathroom, parking, and kitchen. As for the alternatives, 10 boarding houses are used. Based on the research results, the alternative solutions obtained are ranked in the top 3 boarding houses. The first is Kos Maghfiroh, the second is Kos Hira, and the third is Kos Griya Mansur
Implementasi Augmented Reality pada Latihan Progressive Muscle Relaxation
Authors: Afifullah Fauzi Naufal , Listyorini Tri , Supriyati Endang
Published: August 2024

Progressive muscle relaxation therapy is the process of focusing muscle activity to look for tension that occurs in the muscles, this affects the health of our bodies. One possible treatment for high blood pressure is complementary therapy, namely progressive muscle relaxation therapy. Progressive muscle relaxation techniques are deep muscle relaxation techniques that do not require imagination, force or suggestion. However, many people do not know about this. With a technological approach, progressive muscle relaxation therapy is built in an interesting way with augmented reality. The application of augmented reality to progressive muscle therapy is beneficial for the general public, especially those experiencing problems with muscle tension. So that they can do their own therapy according to the directions from the animation
Implementasi Augmented Reality Pada Pengenalan Tanaman Herbal Berbasis Android
Authors: Muladi Muhammad Hasyim , Listyorini Tri , Supriyati Endang
Published: August 2024

Technological developments produce a variety of new products, such as augmented reality, which can combine the real world with virtual images. One of them is that it can be used as an educational medium. An example is introducing types of herbal plants by displaying 3D images. This is done to help people recognize the types of herbal plants and their benefits. This application was created with the aim of educating the public about the types of herbal plants. The application is made based on Android which was developed using the Multimedia Development Life Cycle (MDLC) method.