bluuebunny/crossref_metadata_2025 huggingface dataset:
An Empirical Study on the Impact of Investor Gambling Factors on Stock Cross-Sectional Returns
Authors: Du Zhongxuan , Li Jinsheng , Lu Yangxuan
Published: August 2024

This study explores how investors' gambling preferences affect the cross-sectional returns of stocks in China's A-share market through behavioral finance factors. The portfolio ranking method and Fama-Macbeth regression analysis show how gambling behavior affects stock returns. On this basis, a multi-factor model (CHG model) incorporating gambling factor innovation was constructed to capture market dynamics more accurately. Research shows that going long on a low gaming index stock portfolio and short on a high gaming index stock portfolio can achieve significant average monthly returns. After adjustment by the Fama-French three-factor model, the returns of this long and short portfolio are significant at the 1% level. Significantly. In the CHG model, the coefficient of the gambling index Gamble is -0.0241, and the t-statistic is -6.1858, which is significant at the 1% level, further confirming the negative impact of gambling preferences on stock returns. In addition, the CHG model's ability to explain anomalies is also better than the CH-4 model. This study provides a new perspective on understanding behavioral finance factors in the Chinese stock market, and the results highlight the importance of considering behavioral finance factors in asset pricing and investment decisions in a highly irrational market environment. Future research can further explore the performance of behavioral financial factors in different market environments, as well as the differences and similarities of behavioral factors in different markets.
Application and Development of Smart City in Guangdong, Hong Kong and Macao Greater Bay Area
Authors: Chu Xianglong
Published: August 2024

With the acceleration of the global urbanization process, all countries and regions pay more and more attention to the sustainable development of cities. As of October 2021, 132 countries and regions have upgraded the goal of "carbon peak and carbon neutral" to a national strategy, and have proposed a vision of a zero-carbon future. The construction of a smart city has become an important factor in sustainable urban development. The special geographical location of Guangdong Hong Kong and Macao Greater Bay Area (hereinafter referred to as GBA) determines its development flexibility, and this region is bound to become one of the important development strategic regions in China. This paper selects the three core cities of GBA, Hong Kong, Guangzhou, and Shenzhen, as the research objectives, and to integrate, compare, and analyze the achievements of these cities in terms of smart cities. The research results can provide a reference for the construction direction of smart cities in other cities.
Research on the Operation Innovation Strategy of a Short Video Platform Based on Fan Economy Taking Douyin as an Example
Authors: Li Chongwen
Published: August 2024

With the advancement and popularization of Internet technology, the way users obtain information and entertainment on digital platforms has changed, and content creators have attracted a large number of fans through short-video platforms such as Douyin, forming a huge fan economic ecosystem. This paper analyzes the operation and innovation strategy of Douyin's fan economy platform, taking Douyin's short video platform as an example, and aims to study the core elements of the success of this business model. The results show that fans are not only loyal followers of content creators but also potential consumers and brand promoters; under the role of fan economy, the construction of a high-quality short video platform ecological network will become a major trend in the future.
A Fundamental and Technical Analysis of the US and Chinese Stock Markets
Authors: Lin Jiawen
Published: August 2024

This paper provides a comprehensive comparison between the stock markets of the United States and China, the two largest economies globally. The study examines key aspects such as market mechanisms, investor strategies, and market efficiencies. The U.S. stock market, characterized by its large market capitalization and robust growth, operates through dealer and auction market mechanisms with a strong regulatory framework and high openness to foreign investors. In contrast, the Chinese stock market, having developed more recently, primarily uses auction market mechanisms and imposes daily price limits to manage volatility. Historical developments show the U.S. market's long history of financial development and crisis management, while China's market has seen rapid development since economic reforms began in 1978. The analysis of market efficiency through fundamental and technical analysis reveals that the U.S. market more effectively reflects company performance in stock prices compared to the Chinese market, which still shows areas for potential improvement. This comparison highlights the distinct characteristics and developmental paths of the U.S. and Chinese stock markets, providing valuable insights for investors and policymakers in understanding the differences and guiding future market development and investment strategies.
Research on autonomous decision-making of UAV swarm based on neural network algorithm
Authors: Shen Xin
Published: August 2024

This article focuses on typical unmanned aerial vehicle (UAV) cluster autonomous collaborative reconnaissance mission scenarios, constructs UAV classes in Matlab, and effectively constructs UAV autonomous decision-making models using two different algorithms; Using Extreme Learning Machines (ELM) and introducing neural network methods to solve autonomous decision-making problems for unmanned aerial vehicles. Test the performance of the model under multiple neural network algorithms, basically achieving unmanned aerial vehicles to complete flight targets based on multiple sensor parameters in unknown environments, using reinforcement learning algorithms to achieve autonomous decision-making of unmanned aerial vehicles, achieving multi parameter fusion (with parameters greater than 4) decision-making, with a decision-making time of less than 100ms, which can ensure timely decision-making while also considering the rationality of the model.
The analysis of the future development prospects of hydrogen energy from the perspective of the hydrogen energy industry chain
Authors: Dong TianQi
Published: August 2024

Hydrogen, with its characteristics of easy access, green, and safety has gradually become a new focus of global energy research. It is noteworthy that the current technology has also achieved the integration of traditional fuels such as hydrogen and natural gas, significantly improving energy utilization efficiency. This article will delve into the development prospects and directions of the hydrogen energy industry from multiple dimensions, including the preparation, storage, and transportation of natural gas. With the continuous progress of technology, the hydrogen energy industry will inevitably usher in a broader world, injecting new vitality into the sustainable development of human society
Application and prospect analysis of microbial fuel cell technology
Authors: Cao Bingying
Published: August 2024

As global energy demand grows and environmental problems intensify, the search for clean, renewable energy solutions becomes especially urgent. This article reviews microbial fuel cell (MFCs) technology, a new type of clean energy technology that uses microbial metabolic activity to convert organic matter into electricity. Compared with traditional fossil fuel power generation methods, MFCs have significant advantages such as low pollution, low noise, and renewable. The working principle of MFCs, including the reaction process of anode and cathode, as well as the key factors affecting the performance of MFCs, such as the choice of anode and cathode materials, are discussed. In addition, the coupling applications of MFCs with other technologies, such as photocatalysis, electrofenton technology, microbial electrolysis (MEC) and constructed wetland technology, are discussed, which provide new possibilities for improving wastewater treatment efficiency and expanding the application field of MFC. Finally, the challenges and future development direction of MFCs technology are prospected, and key research directions such as improving energy conversion efficiency, reducing cost and enhancing system stability are pointed out.
RF technology in wireless communications:From transceiver architecture to subsystem specifications
Authors: Bai Yuxin
Published: August 2024

Radiofrequency (RF) technology is essential to wireless communication.The demand for RF technology research is growing as mobile, satellite, radar, and other fields advance. In recent years, the development of 5G and 6G technologies has raised the bar for in-depth RF technology research, requiring greater frequency and data transmission efficiency, among other things. In addition to providing a brief overview of the transceiver's components, the signal chain, and an introduction to the major RF technologies, this paper will concentrate on the architecture of RF transceivers in RF systems and the specification of sub-systems. It will also include references for the RF sub-system specifications and integration techniques. The comprehensive study of communication technology will benefit greatly from an in-depth grasp of the transceiver's capabilities. Lastly, an overview of the layout and features of RF transceivers is provided, along with a prediction of the future application-focused path of RF technology.
Research on flexible piezoresistive sensors based on nanocomposite materials
Authors: Liu Taoning
Published: August 2024

As a core component, sensors play a crucial role in fields such as the Internet of Things, biomedicine, and artificial intelligence by converting physical information into electrical signals. With technological advancements, the demand for improved sensor performance and environmental adaptability has been increasing, driving progress in advanced materials, new structures, and refined processing technologies to enhance the efficiency of converting pressure signals into electrical signals. Flexible piezoresistive sensors are widely used due to their high sensitivity, good linear response, and fast response time. The performance of these sensors heavily depends on the microstructure of the materials, and traditional detection methods struggle to capture their dynamic changes. Therefore, developing in-situ characterization techniques to monitor changes in material structure and chemical properties in real-time is crucial for optimizing material performance. Additionally, integrated sensor systems that study signal acquisition, circuit interfaces, and signal processing, combined with artificial intelligence algorithms for data processing and analysis, not only improve system efficiency but also broaden their application range.
Asynchronous FIFO module design and implementation
Authors: Wu Hengrui
Published: August 2024

In the modern development of communications engineering as well as circuit design, engineering often involves the production of individual chips in the field. Among these, the code required for the operation of the chip is of vital importance. In the situation of dealing with the transfer of data from different clocks in the chip, the design of a cross-clock program module with high efficiency is the best means to solve the problem. In this regard, the asynchronous FIFO program is able to complete the transfer of data between clocks more perfectly, reaching the basis of multi-clocked chip operation. In this paper, written in Verilog language, an asynchronous FIFO program is designed to transfer data in the read-write clock domain, and at the same time, the conversion of Gray code and the storage of second-level registers are added to the program to achieve effective mitigation of the metastable state problem that may arise in the process of data transfer and to analyze whether the bit error rate of data transfer meets the requirements by combining with the simulation results.
Advancements in deep learning and natural language processing for effective disaster sentiment analysis: A review
Authors: Xu Yinghao
Published: August 2024

This article comprehensively studies the application of deep learning (DL), natural language processing (NLP), and large language models (LLM) in sentiment analysis in disaster scenarios such as earthquakes and major accidents. The article focuses on the latest developments in these technologies and their role in strengthening disaster management and response. The article explores various methods, including BERT, LSTM, and convolutional neural networks, with a focus on their practicality, challenges, and potential for development. This review aims to provide researchers and relevant practitioners with a comprehensive understanding of this rapidly developing field.
Music recommendation systems in music information retrieval: Leveraging machine learning and data mining techniques
Authors: Chen Yan
Published: August 2024

Music Information Retrieval (MIR) has become a pivotal area of research with the rise of digital music platforms, enabling personalized music recommendations to enhance user experience. This paper explores the integration of machine learning and data mining techniques in music recommendation systems. We discuss user-based and item-based collaborative filtering, matrix factorization methods like Singular Value Decomposition (SVD) and Alternating Least Squares (ALS), and content-based filtering that incorporates audio feature analysis, metadata, and lyrics analysis. Additionally, we delve into hybrid recommendation systems, combining collaborative and content-based approaches using advanced models such as neural networks and hybrid autoencoders. Our finding show that, hybrid systems provide the most accurate and personalize recommendations, albeit requiring significant computational resources. Practical applications from platforms likes Spotify and Pandora illustrate the effectiveness of these approaches in real-world settings.
The application of machine learning in the field of biomedical science
Authors: Li Zijing
Published: August 2024

Luyu Gao, Yunyi Zhang, Jiawei Han, and Jamie Callan. Scaling deep contrastive learning batch size under memory limited setup, 2021.
Wallace Stevens and Zen Buddhism
Authors: Yan Liu
Published: August 2024

American poet Wallace Stevens describes nature in his poetry, discussing the relationship between poetry writing and nature, and expresses his ecological poetics to the world. The poet also integrates the concepts of Buddhism into his ecopoetry, advocating that humans should control the constantly expanding material desires, being indifferent to fame and wealth, and form a peaceful state of mind, thereby reducing human damage to the environment and nature, and constructing a deep ecological view which advocates all creatures are equal.
Buffer or bottleneck?
Authors: Gmyrek Pawel , Winkler Hernan , Garganta Santiago ,   World Bank,,   International Labour Organization. Research Department,
Published: August 2024

In this new paper from the International Labour Organization and the World Bank Group, researchers found that Generative AI could have transformative effects on jobs and livelihoods in Latin America and the Caribbean. Nonetheless, gaps in digital infrastructure and other inequalities could hinder the potential impacts of Generative AI in the region.
Editorial: combined UALL special and general edition
Authors: Jones Bill , Butcher John
Published: August 2024

This special issue of the journal combines our biennial Universities Association for Lifelong Learning (UALL) focus with a collection of wide-ranging articles representing the best work in widening participation and lifelong learning across the sector. The first half of this edition
captures an important occasion in the calendar of the UALL.
PARENTAL STRESS IN PATIENTS WITH SCHIZOPHRENIA SPECTRUM DISORDER
Authors: Emran Fatimah , Hashim Nurul Azreen , Razali Salmi
Published: August 2024

Objectives: This study aimed to determine the prevalence of parental stress in patients with schizophrenia spectrum disorder and the contributing factors. Methods: This is a cross-sectional study involving 115 patients with schizophrenia spectrum disorder who were attending an outpatient psychiatric clinic, recruited through universal sampling. Those who fulfilled the selection criteria and gave informed consent were selected. Socio-demographic data, perceived parenting capacity, children’s data, and illness data were obtained from the patient during interview as well as from the clinical notes. Presence of parental stress and severity of psychiatric symptoms were measured using Parental Stress Scale (PSS) and Brief Psychiatric Rating Scale (BPRS) respectively. Descriptive analysis was performed, followed by univariate analysis and multiple logistic regression analysis, using International Business Machines (IBM®) Statistical Package for Social Science (SPSS) version 24. Results: 60 out of 115 participants (52.2%) had parental stress. Factors associated with parental stress include ethnicity (p=0.032), total household income (p=0.004), parenting children with mental or learning disability (p=0.022), perceived financial inadequacy (p=0.049), perceived food inadequacy (p=0.049), and presence of psychiatric symptoms (p=0.001). Ethnicity, total household income, parenting children with mental or learning disability, and presence of psychiatric illness were the predictors for parental stress among patients with schizophrenia spectrum disorder. Conclusion: Parental stress is prevalent in this group. Hence, health care professionals should be able to identify the risk factors and to provide them with necessary support
MASSIVE LATE ENDOLEAK TYPE IA, ASSOCIATED WITH SHOCK AND ACUTE ANEMIA: CONSERVATIVE SURGICAL TREATMENT
Authors: Marín Juan , Gutiérrez Daniel , Marín Claudia
Published: August 2024

We present a case of type 1 endoleaks associated with massive hemorrhage and shock, treated with traditional open surgery. We present a 74-year-old male patient with a history of endovascular repair of abdominal aortic aneurysm 6 years ago, was admitted to the emergency department in shock and acute anemia, showing a type IA endoleak associated with retroperitoneal hematoma. Open repair was performed with the interposition of a Dacron™ prosthesis with preservation of the aortic endoprosthesis. Although in these cases of extreme urgency, it has been proposed the extraction of the endoprosthesis, which involves a procedure associated with high mortality, in this case, it was feasible a simple repair as was the interposition of prosthesis between proximal aorta and endoprosthesis. Endovascular repair of aortic aneurysm requires strict monitoring and a good selection of patients for this procedure since this late complication has a high mortality rate.
What if Nature Fought Back? Multimodal Metaphor in Green Non-Profit/Social Advertising
Authors: Caruso Assunta , Ruffolo Ida
Published: August 2024

Creating a conscious environment culture which highlights our commitment to protecting natural resources has been steadily increasing. The use of multimodal metaphor is a crucial rhetorical device for understanding the complexities of the global climate change crisis. More specifically the exploitation of multimodal metaphor in genres such as public awareness campaigns aims at triggering the audience’s attention. In light of this, this paper investigates the use of multimodal metaphor in green non-profit/social advertising to understand to what extent these advertisements may be effective when promoting and encouraging change in behaviour patterns concerning environmental protection and climate change. For this purpose, a corpus of 130 multimodal advertisements containing metaphors on environmental awareness has been investigated. The study uses an adaptation of previous procedures designed for the identification of verbal, visual and multimodal metaphor (Alousque, 2014; Hidalgo-Downing & O’Dowd, 2023; Pragglejaz, 2007; Šorm & Steen, 2018; Steen et al., 2010). Results confirm the effectiveness of metaphorically conceptualising environmental themes such as climate change, global warming, and pollution. Moreover, the findings show that the pragmatic effect of metaphor used by non-profit organisations aims at creating a conscious environment culture, while the majority of the metaphors suggest a mixed or negative evaluation of environmental issues. Further research will include the investigation of metonymy in these campaigns.
Latinate Loan-Cognate Word Pairs in English and Italian: Patterns of Meaning Variation and Change
Authors: Franceschi Daniele
Published: August 2024

The aim of this paper is to show the existence of regularities in word meaning variation and change between Latinate borrowings in present-day English and their cognates in Italian, such as gross/grosso, lecture/lettura and rumour/rumore. Starting from an original and shared meaning core, the semantics of these etymologically related words has evolved in different directions in the two languages, often producing what are commonly known as ‘false friends’.

Despite their ‘false-friendship’, however, there appear to be some recurrent patterns in meaning evolution: through a qualitative analysis of 30 pairs of English and Italian cognate words, five main processes have been identified, namely meaning bifurcation, original meaning retention, non-figurative meaning extension, figurative meaning extension (via metaphor and metonymy) and meaning inversion.
Translating Culture-Specific Items (CSIs) in Water Margin: Balancing Domestication and Foreignization
Authors: An Gang , Tan Debbita Ai Lin
Published: August 2024

Every translation of a book is a creation unto itself, wherein the translator imbues the work with their essence while striving to maintain the spirit of the original. Guided by Venuti’s concepts of domestication and foreignization, this study examines their application in translating culture-specific items (CSIs) in the English version of Water Margin. This research focuses on the earliest version (1872) titled The Adventures of a Chinese Giant, published in the pages of the China Review. The study involved analyzing 180 hand-selected CSIs out of 800, using Newmark’s classification method. The findings reveal that translators predominantly use domestication to enhance readability for target language readers. However, domestication often leads to a loss of cultural meaning, which directly impacts the accuracy and authenticity of the translation. This study addresses the challenges of domesticating cultural texts and reflects on the implications for translation quality. These insights provide valuable strategic direction for translating culturally sensitive material and lay a foundation for future research on translation strategies across different cultural contexts.
Recent Advances in Understanding and Treating Multiple Sclerosis
Authors: Dar Mohd Altaf , Qadir Afshana , Qadrie Zulfkar , Ashraf Humaira
Published: August 2024

MS, often known as multiple sclerosis, is a chronic autoimmune illness that is characterised by inflammation, demyelination, and neurodegeneration in the central nervous system (CNS). This review provides a comprehensive summary of current achievements in multiple sclerosis (MS) research, focusing on substantial advancements in understanding the biology of the disease, improving diagnostic tools, and developing a variety of treatment strategies. Multiple Sclerosis (MS) is characterised by an attack by the immune system on myelin, which is the protective sheath that surrounds nerve fibres. This attack results in a wide variety of neurological symptoms. Genetic factors, such as polymorphisms in the HLA-DRB1 gene, as well as environmental variables, such as a lack of vitamin D and viral infections, have been identified as contributors to disease susceptibility. However, the exact cause of multiple sclerosis (MS) is still unknown. Among the advancements in diagnostics are the utilisation of more sophisticated magnetic resonance imaging (MRI) techniques and the investigation of novel biomarkers in cerebrospinal fluid (CSF) and clinical blood. Beyond the standard disease-modifying treatments (DMTs), there are now additional treatment alternatives available, which include more recent medications that have mechanisms of action that are more specifically targeted. Treatments that are only coming into existence, such as monoclonal antibodies and cell-based therapies, provide the possibility of progress in the management of diseases. The purpose of this review is to provide a summary of the most important discoveries, identify trends in research, and explore the significance of current developments for MS care as well as future research directions.
Effects of Grazing on vegetation in the Gobi desert region of Mongolia
Authors: Amarsanaa Sainchuluu , Lkhagva Ariuntsetseg , Tsooj Bolormaa , Baival Batkhishig , Jamsranjav Chantsallkham , Tsogtbaatar Solongo
Published: August 2024

Mongolia is a massive, semi-arid country in Central Asia with a huge territory of 1,500,000 km2, with rangeland making up around 75% of the country's territory. These rangelands have supported herders and grazing animals for millennia. The transition from nomadic to stationary livestock husbandry in Mongolia’s rangeland has resulted in major changes in vegetation communities due to increased livestock numbers. The primary objective of this study is to examine the impacts of grazing on the vegetation of rangelands in the desert steppe ecosystem. The purpose of this study is to examine the impacts of livestock grazing by measuring vegetation standing crop biomass, vegetation cover, and species' richness. The study was carried out in Khanbogd soum (district), Umnugovi aimag, the southern province of Mongolia. To assess the grazing impact, we sampled fourteen winter camps of herders who are members of the four herder groups, who were located at 1000 m and 2000 m from each. In total, we sampled 28 plots in two consecutive years. Our results indicate that aboveground biomass, cover, and species' richness did not differ with increasing distance from winter camps. Similar grazing pressures were shown at 1,000 and 2,000 meters away from the winter camps as well.
A phylogenetic study of the Mongolian Tree Pipit (Anthus trivialis, Linnaeus, 1758) population based on mitochondrial DNA (mtDNA) genes
Authors: Tumendemberel Ulziisaikhan , Byambadash Sod-erdene , Sramko Gabor , Batsukh Tserendulam
Published: August 2024

Our aim was to identify nucleotide polymorphisms, assess their distribution in haplotype diversity, and construct a phylogenetic tree by analyzing mtDNA markers of the Mongolian Tree Pipits(Anthus trivialis). We conducted this study using partial gene sequencesof mitochondrial marker genes, such as COI, Cyt-b, D-loop, andND2,to determine the genetic diversity of Mongolian Tree Pipits. We successfully amplified 2307 bp of the mitochondrial DNA fragments, including 469bp of COI, 435bp of Cyt-b, 554bp of D-loop and 846bp of ND2 from total 27 individuals of Mongolian (21) and Hungarian (6) populations of Anthus trivialis.The Hd value wasthe highest for ND2 (0.96) as compared with the other gene fragments in all populations, whileit was 0.94 in the Mongolian population. Moreover, the nucleotide diversity (Pi) ranged from 0.00234 to 0.004 in all population, it was observed that the Pi was between 0.00183 and 0.00376 in the Mongolian population. The phylogenetic tree based on combined mtDNA sequences revealed two mean clades. The probability value of the node supporting the posterior between these clades is 0.65,which suggests an indicative support in relationship between the two clades. Furthermore, phylogenetic analysis showed that Mongolian Tree Pipits do share common genetic characteristics with other populations and do not form distinct clusters.
Publisher correction: Author name Sabor Sramko was revised to Gabor Sramko dated on 2024-10-07.
ANALYSIS OF ENGINEERING ECONOMICS OF THE NEW ERA COMPARED WITH THE CONVENTIONAL MATERIALS USED IN HVAC DUCT APPLICATION
Authors: Tanadecha Pattaramon , Khaothong Kunthakorn
Published: August 2024

Selecting suitable materials for air ductwork is essential to ensure efficient airflow distribution and reduce economic costs, as it directly impacts an air conditioning system’s overall performance and functionality. The PVC-coated polyester canvas and foam materials have revolutionized the construction of air ductwork, offering numerous benefits and advantages over conventional materials. For instance, these materials have been successfully used in the construction of air ducts for large commercial buildings, resulting in significant energy savings and improved indoor air quality. Using these new-era materials has design flexibility, durability, energy efficiency, and cost-effectiveness. This research has provided a comprehensive analysis of the economic cost of the new era of air ductwork compared with conventional air ductwork in Thailand, and the thorough assessment of total service life costs has improved on the financial implications of adopting this new technology. The economic analysis of PID ducts reveals their cost-effective excellence compared to other investment types. The benefit-cost ratio of 4.73 and a payback period of 1.48 years show the financial advantages offered by PID ducts. With their affordability, efficiency, and simplicity, PID ducts emerge as the most attractive option for investors seeking long-term profitability and sustainability in construction projects.
DESIGN AND SIMULATION OF PV-POWERED MOTORPUMP RECIRCULATING WATER SYSTEM IN RICE FIELD CRAB FARM USING MPPT-BASED NEUROFUZZY AND BIDIRECTIONAL CONVETER CHARGER CONTROLLERS
Authors: Wongsathan Rati , Seedadan Isaravuth , Puangmanee Wutthichai
Published: August 2024

Community enterprises engaged in rice field crab farming face significant challenges due to the absence of an electricity grid, resulting in energy shortages that hinder the operation of a 24-hour recirculating water system, essential for maintaining optimal conditions during the crab laviculture phase. Consequently, crab larva survival rates have experienced a significant 60% decline. To address this issue, this paper introduces the design and simulation of an off-grid photovoltaic solar-powered motor-driven water pumping system (PVWPS) using maximum power point tracking (MPPT) and charger controllers, to meet the power demands. The proposed MPPT-based neuro-fuzzy controller (NFC), in conjunction with a proportional-integral-derivative (PID) controller, maximizes the utilization of PV power for the motor pump. Additionally, a bidirectional converter facilitates battery charging and discharging. The motor speed, which directly influences the required pump flow rate, is regulated by controlling the voltage across the DC-linked capacitor, using an additional proportional-integral (PI) controller. The Kp, Ki, and Kd parameters of both the PID and PI controllers are meticulously adjusted through a genetic algorithm (GA) to optimize control performance. Simulation results demonstrate the effectiveness of the implemented MPPT-NFC and charge controller. The energy utilization efficiency can be increased by up to 97% and the overall efficiency of the PVWPS is improved by up to 10.5%, effectively overcoming the power shortage challenge. Consequently, the proposed PVWPS, utilizing MPPT-NFC with PID-controller and a bidirectional converter PI-controller, enables 24-hour operation of the recirculating water system, with the anticipation of an increased crab larva survival rate.
A integração do Estudo de Impacto Ambiental e dos relatórios GRI para os Objetivos do Desenvolvimento Sustentável
Authors: Silva Sara Coimbra da , Gallardo Amarilis Lucia Casteli Figueiredo
Published: August 2024

Objetivo:  Desenvolver um modelo para verificar a integração do Estudo de Impacto Ambiental (EIA) e do Relatório Global Reporting Iniciative (GRI) aos Objetivos do Desenvolvimento Sustentável (ODS) desde o planejamento até a operação de um empreendimento.
Metodologia: De modo a desenvolver o modelo para integração do EIA e GRI com os ODS, baseado em Boess et al. (2021a), em uma abordagem qualitativa de estudo de caso de uma empresa que se autorrotula como sustentável. Foi realizada uma análise documental de uma série histórica de relatórios GRI institucionais, publicados em conformidade com a Norma GRI versão Essencial, e do EIA da maior unidade da empresa. 
Originalidade/Relevância: O EIA é o instrumento de planejamento ambiental mais utilizado no mundo, enquanto o GRI, publicado voluntariamente e popular na operação de empreendimentos, relata e direciona as companhias para adotarem temas materiais sustentáveis relevantes na sua área de atuação. Apesar dos ODS refletirem os desafios urgentes da comunidade global e estarem em destaque na mídia, são escassos os relatos da integração dos ODS nos EIA e desse instrumento ao GRI. Espera-se que esse modelo possa auxiliar no desenvolvimento dos novos EIA e GRI para que sejam orientados ao cumprimento dos ODS e que cumpram o papel da iniciativa privada e pública na promoção da sustentabilidade.
Resultados: Foi possível demonstrar a aplicabilidade do modelo de análise para integração do EIA e GRI com os ODS que pode ser adotado para a concepção de EIAs e GRI voltados às metas ODS a outras indústrias e contextos. Foi possível identificar para o caso em análise a convergência e divergência na adoção dos ODS desde o planejamento até a operação da indústria, revelando aspectos positivos e outros a melhorar.
Contribuições sociais: Esse estudo permitiu concluir como dois instrumentos para integração das questões ambientais e de tomada de decisão no ciclo do planejamento, amplamente usados no mundo, podem ser utilizados estrategicamente para a construção de EIAs e GRIs que vão além do cumprimento normativo e legal. A adoção desse modelo permite que o planejamento e a operação de empreendimentos sejam direcionados ao cumprimento dos ODS, que é um pacto global, inserindo a sustentabilidade no desenvolvimento e para o bem-estar da sociedade.
Ensaios para verificação do potencial de erodibilidade do solo em áreas de risco: uma revisão sistemática de literatura
Authors: Santos Igor Silva , Lafayette Kalinny Patrícia Vaz
Published: August 2024

Através do crescimento urbano desordenado, áreas de encostas com elevadas declividades foram ocupadas, o que ocasiona redução da cobertura vegetal, aumenta a ocorrência de erosão do solo e gera instabilidade de taludes.
Objetivo: Analisar os estudos sobre ensaios que verificam o potencial de erodibilidade de solos que são comumente utilizados, através de uma revisão sistemática de literatura.
Metodologia: A pesquisa foi realizada em quatro bases de dados (Scopus, Science direct, Web of Science e Google acadêmico) para busca de artigos, limitada em artigos científicos e capítulos de livros na área da engenharia civil nos últimos 10 anos.
Relevância: Dada a importância de se estudar sobre erodibilidade de solos de áreas de risco, uma compilação de quais ensaios são utilizados para este fim pode auxiliar os pesquisadores do tema a escolher o ensaio mais adequado para tal finalidade.
Resultados: Dos 124 artigos selecionados, 36 foram considerados para extração de dados. Existem variados ensaios para verificar o potencial de erodibilidade de um solo e monitorar áreas de risco, classificados como: métodos diretos (Inderbtzen e simulador de chuva) e métodos indiretos (drone, Crumb teste, teste de pinhole e Miniatura Compactada Tropical (MCT)).
Contribuições: Todos os métodos mostraram-se eficazes para análise de erodibilidade de taludes em áreas de risco, contribuindo para estabilização da área. Os métodos indiretos necessitam de associações entre ensaios para obtenção de resultados confiáveis. Destes métodos, o drone traz uma inovação tecnólogica que é capaz de ampliar a compreensão sobre áreas de risco e transporte de sedimentos.
Simulação em lesão por pressão: avaliação do cenário por docentes e preceptores de enfermagem
Authors: Ormonde Junior Juarez Coimbra , Santos Emílio Carlos Alves dos , Ferreira Juliana de Melo , Guimarães Michelly Kim de Oliveira Rosa , Ferreira Gímerson Erick , Lima Jaqueline Costa , Trotte Liana Amorim Corrêa , Ribeiro Mara Regina Rosa
Published: August 2024

Objetivo: verificar o ganho de conhecimento imediato, design, nível de satisfação, autoconfiança e debriefing em cenário clínico simulado sobre Lesão por Pressão. Método: estudo quase experimental, quantitativo, realizado por amostra de conveniência com docentes e preceptores que atuam na graduação em enfermagem em quatro instituições de ensino superior. A produção de dados ocorreu por meio da aplicação de pré e pós-teste, escala de design de simulação, escala de satisfação e autoconfiança na aprendizagem e escala de avaliação do debriefing. Os dados foram analisados com base em frequências absolutas, medidas de tendência central, teste de confiabilidade Alfa de Cronbach e teste de Wilcoxon, cujos p≤0,05 foram considerados significativos. Resultados: participaram 52 indivíduos, sendo 21 docentes, 19 preceptores e 12 profissionais que atuam simultaneamente como docentes e preceptores. Houve ganho de conhecimento imediato. As escalas apresentaram boas médias globais para o design (4,70), satisfação e autoconfiança (4,60) e debriefing (4,68) com confiabilidade e consistência interna. Conclusão: a simulação clínica na temática de lesão por pressão foi eficaz como método de ensino-aprendizagem ao propiciar ganho de conhecimento imediato e foi bem avaliada.
Avaliação do grau de satisfação e a importância da implementação de projetos de extensão clínicos para discentes de odontologia
Authors: Cardoso Daniela Beatriz de Souza , Cabral-Oliveira Guilherme Goulart , Domingos Breno Pereira Menezes , Alves Juliana Pinto , Oliveira Rodrigo Dutra Norberto de , Brito Fernanda
Published: August 2024

Projetos de extensão são atividades que promovem a maior interação entre instituição e população, além de acrescentar na formação de seu corpo discente. No curso de odontologia, a prática dessas atividades engrandece não apenas na em sua formação, mas possibilita o olhar mais humanizado sobre suas atividades laborais presentes e futuras, após sua formação. Uma boa relação do corpo discente é importante para o engrandecimento e continuidade de atividades de extensão, contudo pouco é investigado sobre o feedback desses alunos e suas considerações para melhorias na atividade. O objetivo deste estudo foi avaliar a satisfação dos discentes do curso de odontologia que participaram de um projeto de extensão clínico. Para esta avaliação foram aplicação de um questionário sobre os pontos positivos e negativos do projeto realizado, a descrição de como a atividade acrescentava em sua formação e sugestões. Foram respondidos e avaliados 32 questionários, os pontos positivos e negativos foram abordados por 31 e 23 questionários, respectivamente. 21 ofereceram sugestões e todos responderam como o projeto acrescentou em sua formação. É evidente que o aluno do curso de odontologia reconhece a importância da prática e participação de projetos de extensão clínicos. Além, a busca e relevância da percepção do discente é importante para a continuidade do projeto e suas atividades.
Concepções históricas nos materiais didáticos de ensino de história medieval do interior da zona da mata mineira
Authors: Gomes Jonathan Mendes
Published: August 2024

Este artigo analisa as condições em que se encontram os materiais didáticos atualmente utilizados no Ensino de História da rede de Educação Básica da microrregião em torno da UEMG Unidade Carangola, observando as formas em que estão abordados os conteúdos referentes ao campo especifico da História Medieval. Trata-se de uma reflexão sobre a estrutura didática dos mesmos, bem como as possibilidades de diálogo em relação à produção acadêmica relativamente mais recente deste campo da história selecionado. Afinal, considera-se que, ainda nos dias atuais ocorre uma defasagem e descompasso entre os conteúdos apresentados por alguns materiais didáticos e o que vem sendo produzido a partir de pesquisas acadêmicas mais recentes sobre a área de História Medieval, e a consequente a necessidade de desconstrução de estigmas, estereótipos, e informações obsoletas sobre o período mencionado, cuja transmissão nas salas de aula ainda continuam. Dentre as fontes de dados utilizadas incluem-se os materiais didáticos, com conteúdo de História Medieval, usados nas escolas da região de Carangola – MG, bem como documentos oficiais sobre normas, programas e leis referentes à Educação Básica, especialmente à produção de conteúdo para os materiais didáticos.
Diagnóstico bacteriológico e sorológico da Leptospirose em bovinos abatidos em Pelotas/RS: um estudo piloto
Authors: Costa Raphael Luiz Gentil Felix de Carvalho , Gomes Júlia Mendonça , Pegoraro Juliana Ribeiro , Soares Karolina Silva , Dell’Osbel Francieli , Duval Eduarda Hallal , Vasconcellos Flávia Aleixo , Silva Éverton Fagonde da
Published: August 2024

O Brasil destaca-se internacionalmente na produção e exportação de carne bovina. No entanto, doenças como a leptospirose afetam várias espécies animais, disseminando-se pela urina de animais infectados e podendo causar aborto, infertilidade, natimortalidade e redução na produção de carne e leite em bovinos. O diagnóstico da leptospirose bovina é realizado pelo teste de soroaglutinação microscópica (MAT) e pelo isolamento bacteriano. Este estudo piloto coletou e analisou amostras de sangue, urina e rins de bovinos abatidos em três frigoríficos do sul do Rio Grande do Sul, nos meses de abril e maio de 2023, para diagnóstico bacteriológico e sorológico. A análise MAT indicou uma prevalência dos sorogrupos Hardjo e Wolffi (35,7%), além da detecção de outros sorovares acidentais. Não foi possível isolar o agente da urina e dos rins. No Brasil, é urgente a vigilância e controle da leptospirose na produção de bovinos, dada sua relevância para a saúde reprodutiva e a produção de carne. A implementação de estratégias de controle, como a vacinação e a melhoria das condições de manejo, é crucial para mitigar os impactos da doença. Estudos adicionais, dando continuidade ao presente projeto, fornecerão um quadro epidemiológico mais abrangente, permitindo o desenvolvimento de intervenções mais eficazes.
Indústria frigorífica no Brasil: uma análise exploratória da concentração espacial
Authors: Marques Tiago Rolim , Costa Neto Ernani Carvalho , Fochezatto Adelar , Marques Cristiane Soares Simon
Published: August 2024

O presente estudo faz uma análise da distribuição espacial da indústria frigorífica e dos rebanhos bovinos no Brasil para os anos de 2006, 2010 e 2014. Para isso, foram utilizadas técnicas de análise exploratória de dados espaciais – AEDE, realizando-se assim, análise univariada para o número de empregos na indústria frigorífica existente nos municípios brasileiro, e a mesma análise para os efetivos de rebanho bovino dos municípios do Brasil. Os resultados revelam que existe dependência espacial, assim, observa-se tanto nos mapas de clusters quanto no mapa de dispersão, padrões de alta concentração dessas atividades, principalmente na região Centro-Oeste do Brasil. Conclui-se que existem evidências de que a localização dos rebanhos bovinos pode exercer influência sobre a instalação de frigoríficos no Brasil, sugerindo-se estudos futuros que testem essa hipótese.
Trajetórias e perspectivas da pesquisa em educação financeira e letramento: uma revisão das últimas duas décadas
Authors: Santos Deyse Queirós , Mourad Laila
Published: August 2024

Nesta pesquisa, analisamos o impacto da educação financeira e do letramento financeiro na produção científica de artigos publicados nos últimos 20 anos na base de dados da Web of Science. Com base na literatura nacional e internacional, abordamos as ações governamentais do século XXI e a implementação da Estratégia Nacional de Educação Financeira (ENEF) no Brasil. Utilizando uma metodologia qualitativa e uma pesquisa bibliográfica de objetivos exploratórios e descritivos, empregamos o software do ambiente computacional R para compreender as discussões sobre letramento financeiro e educação financeira no Brasil e no mundo.Nossa análise teórica é fundamentada nos estudos de Coutinho (2015, 2019, 2020), Freire (2005), Soares (2004, 2008, 2014), OCDE (2011, 2015, 2017), Hung, Parker e Yoong (2009), Vitt (2004), Kistemann Jr (2019), PISA (2012, 2015, 2018, 2021) e UNESCO (2005), além de Lusardi e Mitchell (2010,2011,2014). O estudo conclui que o letramento financeiro pode ter um impacto positivo na vida das populações vulneráveis, ao proporcionar ferramentas para enfrentar desafios específicos que essas populações podem encontrar. Isso inclui o gerenciamento de recursos limitados, a compreensão de produtos financeiros acessíveis e a tomada de decisões informadas sobre crédito e poupança. Educar esses indivíduos sobre como lidar com suas finanças pode ajudar a romper o ciclo de pobreza e promover uma maior inclusão econômica e social.
Fraude alimentar no Brasil: panorama e impactos para leite e derivados dos último 25 anos
Authors: Ménard Hansheys , Costa Jéssica Cristina da , Soares Anísio Francisco , Medeiros Elizabeth Sampaio de , Imazaki Pedro Henrique
Published: August 2024

O leite é reconhecido pela sua rica composição nutricional e pela versatilidade na produção de derivados, desempenhando um papel crucial na segurança alimentar, na criação de empregos e no desenvolvimento de comunidades rurais. No entanto, o setor lácteo enfrenta desafios significativos, entre eles, fraudes persistentes que prejudicam a reputação dos produtores e das indústrias, além de minar a confiança dos consumidores. A análise dos casos de fraude destaca a complexidade dessas ações, que vão desde adulterações sutis até modificações profundas nas propriedades do leite. Este estudo mapeou o cenário das fraudes no setor lácteo, com um foco particular nas últimas duas décadas, ressaltando a persistência de condutas desonestas e adulterações que afetam a integridade e a qualidade dos produtos lácteos. Foram sugeridas estratégias para aprimorar a cadeia produtiva do leite, incluindo a implementação de padrões rigorosos, o fomento à inovação tecnológica e a promoção da colaboração entre o governo, a indústria e a sociedade, visando assegurar uma cadeia de produção ética, transparente e segura.
Efeitos da liberação miofascial na sintomatologia proveniente da disfunção temporomandibular
Authors: Maurer Cindy Larissa Prochnow , Vieira Cleide Dejaira Martins , Berlezi Evelise Moraes , Winkelmann Eliane Roseli
Published: August 2024

O estudo teve como objetivo verificar os efeitos da liberação miofascial (LM) no tratamento da sintomatologia proveniente da Disfunções Temporomandibulares (DTM), em estudantes da área da saúde, do sexo feminino, entre 18 e 28 anos. Trata-se de uma pesquisa de intervenção, tipo antes e depois, aprovada pelo comitê de ética em pesquisa (CAAE: nº 55140721.1.0000.5350). As variáveis foram coletadas através do questionário sociodemográfico e clínico, avaliação dos ruídos articulares e abertura bucal máxima e o grau de sintomatologia da DTM através do Índice Anamnésico de Fonseca - IAF. Após a intervenção observamos uma redução da cefaleia, dor orofacial, dor em forma de apertamento, frequência semanal das crises, dor na mastigação, dor muscular cervicais ou de trapézio, melhora nos graus de DTM, redução dos estalidos e aumento da abertura bucal máxima em milímetros. Concluímos que a LM como intervenção fisioterapêutica foi efetiva na redução da sintomatologia em indivíduos com sintomatologia proveniente da DTM.