bluuebunny/crossref_metadata_2025 huggingface dataset:
Isolation Forest Anomaly Detection Algorithm Based On Multi-level Sub-subspace Partition
Authors: Wang Shangfei
Published: October 2024

In the research of credit loan fraud detection, the isolation forest algorithm has attracted much attention because of its ability to efficiently process large-scale data sets. However, when facing high-dimensional data, the performance of the isolation forest algorithm is easily affected, resulting in deviation of the detection results. In order to solve the above problems, this paper proposes an isolation forest anomaly detection algorithm based on multi-level sub-subspace division. Firstly, the random forest algorithm is used to evaluate the importance of each feature, and the data is divided into different subspaces according to the importance of each feature, and the corresponding weight is assigned to each subspace. Then, the isolation forest algorithm is applied in each subspace for anomaly detection, and the anomaly score of each subspace is obtained. Finally, the anomaly score and weight of each subspace were combined to obtain the final anomaly detection score. In order to evaluate the effectiveness of the algorithm, the proposed algorithm was compared with other four algorithms on the credit loan fraud data set. The results show that the AUC index, accuracy, recall rate and F1 score of the proposed algorithm are higher than those of the comparison algorithms, showing high effectiveness.
Signal-receiving UAV Positioning Model Based on Geometric Analysis
Authors: Li Yinfeng , Wang Qisen , Gu Yongcheng , Zhou Xintong , Song Chenming
Published: October 2024

A drone is an aerial vehicle without a pilot or controller that is remotely controlled using aerodynamics to fulfil a designated task under certain circumstances. With the encouragement and support of national policies, the development of China's UAV industry has a good prospect. In real life, location information is the key information for UAVs to accurately complete operations and realise mission requirements, and the importance of its accurate positioning is self-evident. For the UAV localisation model, the bias-free localisation model is established first, and then the localisation model in the case of bias is solved on this basis. When there is a deviation in the received signal UAV, the UAV may be located outside the circle, on the circle, and inside the circle. Specifically divided into four scenarios, see Figure 1-4. (Analysed: outside the circle: θ1’<θ1; inside the circle: θ1’>θ1; circle on the left: θ2>θ2’, right: θ2<θ2’; no deviation: θ1’=θ1, θ2’<θ2). When the position of the passive receiving signal UAV does not exist deviation, according to the position relationship obtained four cases, respectively, the establishment of the quadrilateral, the use of sinusoidal theorem to obtain the receiving signal UAV positioning model, the same can be obtained under the existence of deviation, the specific positioning model of the receiving signal UAV.
Application and Research of Intelligent Multi-source Information Fusion Technology in Firefighting Equipment
Authors: Zhang Hao , Palaoag Thelma D. , Li Enze
Published: October 2024

As modern firefighting environments become increasingly complex, traditional firefighter equipment and operational methods are no longer adequate to address the high-risk challenges of fire rescue operations. Fire scenes are characterized by complex and hazardous environmental factors, with firefighters facing multiple threats such as extreme temperatures, dense smoke, and toxic gases. Therefore, ensuring the safety and efficiency of firefighters is of paramount importance. This study integrates multiple sensor technologies to enable real-time monitoring of firefighters' physiological status, posture changes, and fire scene conditions. The system incorporates ErgoLAB wireless ECG and PPG sensors, the BWT61CL posture sensor, and the MAG14mini infrared camera, which are capable of simultaneously capturing key physiological data and heat distribution in the fire scene. To ensure data accuracy and real-time performance, the study employs efficient signal preprocessing techniques, including noise reduction, baseline correction, and time synchronization. In addition, wireless transmission technology and multimodal data fusion algorithms are utilized to comprehensively analyze the firefighters' status and fire scene conditions. This approach significantly enhances the precision of firefighter safety monitoring and operational efficiency, demonstrating substantial innovation and practical value.
Wearable Activity Recognition for Advancing Elderly Care with Modified Transformer Model
Authors: Li Grant
Published: October 2024

Technological devices such as smartphones can be utilized in tracking various human activities or movements through built-in accelerometers and gyroscopes. Data obtained from these inertial sensors can be utilized in various applications to assist people, including healthcare, human-computer interaction, and sports. As a result, further developments in the effective classification of time series data through machine and deep learning is highly valued and actively pursued. In this study, the transformer model, a deep learning architecture designed for sequential data such as natural language processing (NLP), has been utilized for analysis of time-series motion readings from wearable accelerometers. The transformer model in this study has been refined by incorporating a Long Short-Term Memory (LSTM) recurrent neural network (RNN) architecture. By leveraging the HAR70+ dataset with a wide range of activities, the modified transformer model in this study obtained a best accuracy of 95.85%, demonstrating that it can match the performance of state-of-the-art wearable activity recognition methods using Deep Neural Networks (DNN) and LSTM. Hence, the findings presented in this study suggest the future relevance of improved transformer or deep learning models to enhance the quality of life for seniors.
Research on the Pathway to Cultivating College Students' Innovation and Entrepreneurship Abilities in a Digital Context
Authors: You Ren
Published: October 2024

In the context of accelerating globalization and digitization, the innovation and entrepreneurship abilities of college students have become vital for driving economic and social development. This paper explores how higher education institutions can cultivate these abilities in a digital environment, analyzes the contradictions between the current educational system and market demand, and proposes targeted solutions. The research indicates that utilizing advanced technologies such as artificial intelligence, big data, and online learning platforms is steering innovation and entrepreneurship education in universities towards a more personalized and diversified approach. A new theoretical model is constructed that emphasizes the significance of digital educational tools, personalized learning paths, and evaluation systems. Furthermore, specific recommendations for educational policymakers, higher education institutions, and educational technology developers are summarized. This study provides theoretical support and practical guidance for digital innovation and entrepreneurship education, aiming to enhance college students' overall quality and their ability to face future challenges.
Design and Implementation of Unity-based Special Unmanned Vehicle Operating Simulator
Authors: Chen Yiming , Gao Jiaxin , Gao Shiwang , Li Chuanqi
Published: October 2024

Special unmanned vehicles can replace personnel to perform military tasks with high risk coefficients, such as long-distance reconnaissance, guided irradiation, and weapons strikes. In order to ensure that the special unmanned vehicle can quickly and accurately complete the established task action, the operator should carry out a large number of trainings in advance for the task content, if the training is directly used in the early stage of the training to manipulate the training, which has the security risks, it’s easy to increase the operator's psychological pressure, and the actual training site can't realistically restore the task scene, the training effect is also single. In view of the above problems, this paper designs a special unmanned vehicle control simulator, which enables the trainers to intuitively understand the task content and key points, and at the same time can control the unmanned vehicle in the virtual task environment to carry out the established task training and result review and analysis, so as to rapidly improve the control level of the trainers and ensure the successful completion of the established task.
Research on Precise Landing of Rotor UAV Based on Multi-Sensor Fusion
Authors: Li Jintang
Published: October 2024

With the rapid development of drone technology, the autonomous landing of drones has become a current research hotspot. This article introduces an autonomous drone landing system based on multi-sensor fusion. The system combines GPS, IMU, visual sensors, LiDAR, and other sensor data through Kalman filtering to achieve data fusion and improve the positioning accuracy and stability of the drone during landing.
Application Status of Hadoop in Data Cloud Computing
Authors: Jiang Pinpeng
Published: October 2024

This paper summarizes the Hadoop platform and its application in network public opinion analysis, and emphasizes the advantages of Hadoop in big data storage and processing, as well as the development of cloud computing technology and its importance in data collection, processing and analysis. This paper also discusses the core technologies based on Hadoop and Spark, including keyword retrieval, web crawler and text mining, which together constitute a comprehensive toolkit for analyzing and managing online public opinion.
Research on Sleep Detection Algorithm during Working Hours Based on Improved YOLOv8s Model
Authors: Qi Wanpeng
Published: October 2024

Sleeping during working hours is not only an uncivilized behavior, but also a serious dereliction of duty and irresponsibility towards the production position. In the production process, if workers sleep during work, it is easy to make mistakes, fail to adjust the working conditions of the machine in a timely manner, and fail to detect problems in the first time, which brings huge safety hazards to the entire production operation and affects production progress. It is indeed a practical problem that should not be ignored. This article proposes a work sleep detection algorithm based on the improved YOLOv8s model to improve detection accuracy and efficiency. After experiments, YOLOv8s was selected as the basis for the algorithm model in this paper. GAM attention mechanism was added to the original YOLOv8s algorithm model, and the loss function WIoUv1 was added. The mAP was increased from the initial 94% to the improved 95%, which provides certain reference value for future algorithm models for detecting sleep during work.
Transformation of Traditional Corporate Tax Planning into AI-Driven Corporate Tax Planning
Authors: Tushar Ranjan Barik  , Priyanka Ranawat
Published: October 2024

Corporate tax planning has traditionally relied on manual processes and expert judgment to minimize tax liabilities. However, the rise of artificial intelligence (AI) presents new opportunities to transform these practices through automation, real-time analysis, and predictive capabilities. To conduct this research, a comprehensive review of academic literature, case studies, and existing AI tools in tax planning was carried out. The proposed AI-based tax planning model was developed based on these findings and validated through simulations and expert feedback. The study also examined the process of integrating AI systems with existing corporate tax structures to assess the feasibility and effectiveness of implementation. Results show that AI-driven corporate tax planning significantly enhances accuracy and efficiency compared to traditional methods. The AI model provides real-time analysis and predictive insights, enabling businesses to optimize tax strategies while ensuring compliance with evolving regulations. Tax authorities also benefit from AI implementation, gaining more transparent and equitable tax structures, along with stronger supervision capabilities. The proposed model can be developed into customized software tailored to individual companies, seamlessly integrating with existing corporate systems. These findings indicate that AI has the potential to revolutionize corporate tax planning by streamlining tax management and optimizing outcomes. For businesses, AI enables personalized tax strategies that adapt to specific data and regulations, improving both compliance and long-term tax optimization.
Analysis of The Influence of Population Number and Regional Minimum Wage on Unemployment in Central Kalimantan
Authors: Rima Harati  , Heike Delfmann
Published: October 2024

This study aims to examine the impact of population and regional minimum wages on unemployment in Central Kalimantan. Understanding the factors influencing unemployment is crucial for policymakers, particularly in regions with unique economic and demographic challenges like Central Kalimantan. The research uses data from the period 2011-2023, applying Multiple Linear Regression Analysis to investigate the relationship between population (X1), regional minimum wages (X2), and unemployment (Y). Classical assumption tests, including normality, multicollinearity, autocorrelation, and heteroscedasticity, were conducted to ensure the validity of the regression model. The findings indicate that neither population nor regional minimum wages significantly affect unemployment in Central Kalimantan. These results suggest that other factors may play a more significant role in determining unemployment in the region, providing a basis for future research to explore additional variables and more complex interactions affecting regional unemployment rates.
Intangible Cultural Heritage Kangwei Paintings: Literature Review and Outlook
Authors: Chang Yuheng , Sangiamvibool Arkom
Published: October 2024

In recent years, many countries around the world have been implementing their own protective practices for intangible cultural heritage under the impetus of the Intangible Cultural Heritage Convention. This study will conduct an in-depth investigation into the intangible cultural heritage of Kangwei paintings in Yuanping City, Shanxi Province, China, exploring the process of cultural identity formation and the role of commercialization in the context of intangible cultural heritage revitalization, an area that has not been deeply researched before.Using the systematic literature review method, a review was conducted on 102 relevant documents and journal articles sourced from China National Knowledge Infrastructure (CNKI). Conduct a literature review from the perspectives of overall research characteristics, highly cited literature, theoretical foundations, and research methods.The results of the literature analysis are systematically elaborated from the aspects of the connotation and extension of Kangwei paintings, the practical mechanisms for the revitalization of Kangwei paintings as intangible cultural heritage, and related suggestions. The study found that the practical mechanisms for the revitalization of Kangwei paintings as intangible cultural heritage include institutional support mechanisms, theoretical consolidation mechanisms, collaborative mechanisms, social education mechanisms, application innovation mechanisms, and efficiency evaluation mechanisms, with no related research proposed.Therefore, based on the framework for the revitalization of Yuanping Kangwei paintings, the prospects of cultural identity and commercialization concepts are proposed: solidifying the theoretical foundation for the revitalization of Kangwei paintings as intangible cultural heritage, scientifically defining the connotations and extensions of Kangwei paintings, refining the cultural identity mechanism for the revitalization of Kangwei paintings as intangible cultural heritage, and enriching the theoretical foundation for the study of the commercialization of Kangwei paintings.
Development of the Academic Policy of Universities in Kazakhstan through the Strategy of Authentic Assessment of Students' Educational Achievements
Authors: Kelgembayeva Bakytzhan , Kumarbekuly Sanat , Aliya Oskembay , Alimkhan Aigul , Kaldybay Kainar , Kadirov Berik
Published: October 2024

This chapter explores the strategy of authentic assessment of students' educational achievements and its role in the implementation of the academic policy of universities. The research upon which it is based includes a text analysis of the rhetoric of the academic policy of 4 universities in Kazakhstan and several regulatory documents on assessment. We studied the strategy of authentic assessment at the University of Westminster in the UK. The results of the study point to the need to expand and modernize the conceptual apparatus, improve, and revise the principles and strategies of assessment at the universities of Kazakhstan. It also determines the constraints on the transition to authentic assessment.
Beyond Borders: The Intersection of Migration, Gender, and Identity in Shaping the Lives of Vulnerable Populations
Authors: Ekmekçi Esra
Published: October 2024

This research explores the intersection of migration, gender, and identity, focusing on how these overlapping factors shape the lives of vulnerable populations such as women, ethnic minorities, and LGBTQ+ migrants. By applying an intersectional framework, the study examines how these identities influence migrants’ experiences in areas such as social integration, economic empowerment, and legal protections in host countries. Using both qualitative and quantitative methods, the research analyzes the systemic barriers that marginalized groups face, including discrimination, exclusion from essential services, and limited legal protections. Data were collected through in-depth interviews, focus groups, and statistical analysis, supported by collaboration with local NGOs and migrant advocacy groups. The findings reveal that migrant women and LGBTQ+ individuals often experience compounded forms of marginalization, including gender-based violence, labor exploitation, and challenges in accessing healthcare, housing, and asylum. LGBTQ+ migrants, in particular, face dual discrimination based on both sexual orientation and ethnic background, further hindering their socio-economic advancement. The study highlights gaps in current migration policies, which frequently fail to address the specific needs of these diverse and marginalized groups. This research advocates for reforms in migration frameworks, emphasizing the need for gender-sensitive and LGBTQ+ inclusive policies. By addressing these policy gaps and expanding legal protections, the study aims to improve socio-economic outcomes for vulnerable migrant populations, ensuring more equitable access to resources and opportunities. Additionally, the research calls for international cooperation to uphold the human rights of migrant women, ethnic minorities, and LGBTQ+ individuals through intersectional and inclusive policy-making.
ASQAR MAHKAM IJODIDA HAYOT FALSAFASI
Authors: Baxtiyorova Gulshoda
Published: October 2024

In this article, the attitude to the life we live in the work of the talented poet Askar Mahkam, the poetʼs views on the perfect person and the image of life reflected in the artistʼs poetry are studied.
DESAFIOS JURÍDICOS NA REGULAMENTAÇÃO DAS CRIPTOMOEDAS SOB A CONSTITUIÇÃO BRASILEIRA
Authors: Bicharra Ismael
Published: October 2024

The research addresses the "Legal Challenges in the Regulation of Cryptocurrencies under the Brazilian Constitution", with the objective of analyzing the legal difficulties related to the regulation of cryptocurrencies in the country. In addition, it seeks to investigate how these digital currencies align with constitutional principles, examine their impact on the Brazilian economy and the security of the business environment, and propose recommendations for adequate regulation. The research problem can be summarized in the following question: In what way does the regulation of cryptocurrencies, in light of the Brazilian Constitution, influence the individual guarantees of citizens and the legal security of the system? The regulation of cryptocurrencies in Brazil presents significant challenges in the legal and constitutional context. Although these virtual currencies play a growing role in the global economy, their decentralized nature, lack of state control, and volatility generate uncertainties that directly affect the Brazilian legal system. The research uses a bibliographical approach, based on academic studies, doctrines, and legislation, aiming to offer a critical view on the subject and contribute to the legal debate around cryptocurrencies in the national scenario.
DISTÚRBIOS DA ARTICULAÇÃO TEMPOROMANDIBULAR: UMA ANÁLISE FRENTE A SUA ETIOLOGIA, DIAGNÓSTICO E MANEJO CLÍNICO
Authors:   Graziano Medeiros, Lima Raphael Barreto , Mendes Cláudia Nayana Viegas Ferreira
Published: October 2024

Temporomandibular joint disorders include problems related to the joints and muscles that surround them. Often, the cause of TMD disorder is a combination of muscle tension and anatomical problems in the joints. Sometimes a psychological component also intervenes, these disorders are more common in women between 20 and 50 years old. For the diagnosis of temporomandibular pathologies, the examination of muscles and joints is essential and requires education and training from the examiner. The examination is based on measuring joint movement, evaluating temporomandibular function and palpation of muscles and joints. Treatment of all patients with temporomandibular disorders aims to reduce or eliminate pain, restore jaw function and reduce the need for future medical care. A key determinant of therapeutic success is patient education about the disorder they suffer from, as well as self-care, which includes jaw exercises, habit changes, and proper use of the jaw. The present work aims to analyze the etiology, diagnosis and management of temporomandibular disorder and highlights the role of the interprofessional team in the evaluation and treatment of patients with this condition.
EFICÁCIA DA TERAPIA MANUAL E DA CINESIOTERAPIA NO CONTROLE DA DOR EM LESÕES DE MANGUITO ROTADOR: UMA REVISÃO INTEGRATIVA
Authors: Viana Amanda Duarte , Silva Taislany Borge da , Monteiro Ana Júlia dos Santos , Nascimento Joelnelinton Dias Miranda do , Nascimento José Ulisses Vasconcelos do , Costa Matheaus Oliveira da , Santos Rafaela Dias , Furtuna Rita de Cássia de Sousa , Santos Sandra Virgínia Costa , Gouveia Samara Sousa Vasconcelos
Published: October 2024

INTRODUCTION: Injuries to the upper limbs are very common and are related to both traumatic and degenerative causes. Due to the complexity of these injuries, the initial treatment involves the use of drugs. However, it is necessary to focus on therapeutic approaches that provide benefits beyond simple symptomatic relief. OBJECTIVE: To investigate the effectiveness of physiotherapeutic procedures with a focus on manual therapy and kinesiotherapy in controlling pain in patients with rotator cuff injuries. METHODS: This study consists of an integrative review of the literature, taking the PICOT research strategy as a starting point and structuring, followed by the guiding question, the search or sampling of literature, eligibility criteria, data collection, and the results found in the search , ending with a discussion and conclusion on the topic covered. RESULTS: A total of twelve (12) articles were included as a sample for this review, using as eligibility criteria articles that included the use of some physical therapy technique and/or manual resource to treat pain resulting from rotator cuff injuries, with studies being selected of the last 10 years. The articles chosen included a systematic review, case study, meta-analysis, case report and randomized controlled clinical trial. DISCUSSION: The review showed that manual therapy and kinesiotherapy are effective in controlling pain in rotator cuff injuries, with kinesiotherapy showing longer-lasting benefits. The combination of therapies demonstrated synergistic results, but the variability of studies limits generalization. CONCLUSION: It is concluded that manual therapy and kinesiotherapy are promising, but further studies are needed.
ABORDAGENS CIRÚRGICAS NO TRATAMENTO DE FRATURAS COMPLEXAS: REVISÃO INTEGRATIVA DE TÉCNICAS E DESFECHOS CLÍNICOS
Authors: Ciofi Filho Adir José , Zonca Beatriz Cioca , Santos Carolina Pinheiro dos , Prado Douglas Segadilha , Mendonça Edinilson Regis , Gomes Neto Francisco de Assis , Ferreira Guilherme , Tizzo Guilherme Rodrigues , Silva Henrique Diogo , Abreu João Victor Zirondi De , Costa Lucas de Oliveira , Lucena Marcellus de , Caldas Morgana Bezerra Bispo , Vargas Rafaela Cunha , Silva Sarah Kerdy Trajano da
Published: October 2024

Este estudo tem como objetivo revisar e comparar as principais técnicas cirúrgicas utilizadas no tratamento de fraturas complexas, com foco nos estágios clínicos e seus respectivos desfechos. Foi realizada uma revisão integrativa da literatura, analisando artigos sobre fixação interna, fixação externa, osteossíntese minimamente invasiva, uso de enxertos ósseos e técnicas avançadas, como cirurgias robóticas. Os achados indicam que a fixação interna, especialmente quando realizada precocemente, proporciona melhores resultados funcionais e menor taxa de complicações. A osteossíntese minimamente invasiva também se destaca por reduzir o tempo de recuperação e as complicações pós-operatórias. Conclui-se que a escolha da técnica cirúrgica deve ser individualizada, levando em consideração as características específicas da fratura e as condições do paciente.
A new approach to the diagnosis and surgical treatment of uterine scar defect after cesarean section
Authors: Mikhelson A. A. , Semenov Yu. A. , Lazukina M. V. , Kosovtsova N. V. , Pogorelko D. V. , Telyakova M. I.
Published: October 2024

Introduction. An increase in the number of cesarean sections in the world leads to an increase in cases of formation of scar defects on the uterus, which requires attention and the use of new diagnostic and treatment methods. Studying the healing processes of the myometrium is key to preventing the formation of a uterine scar defect, and improvements in diagnostic methods and surgical techniques can reduce the risk of recurrence of a uterine scar defect.

Purpose of the study. To develop an effective algorithm for the management of women with a uterine scar defect at the stage of preparation for pregnancy.

Materials and methods. A prospective randomized cohort study was conducted using a random number generator method with the participation of 100 women with a uterine scar defect after cesarean section. The participants were divided into two groups: in the first group (35 women), surgical treatment was performed using an anchor thread and a collagen-based hemostatic matrix, while in the second group (65 women), surgical treatment was carried out in the traditional way (laparoscopic metroplasty without the use of additional techniques).

Results. A mathematical model has been developed for predicting the risk of recurrence of a uterine scar defect. Using the method of step-by-step discriminant analysis, the most informative predictors of the formation of a recurrent uterine scar defect were identified: shear wave magnitude indicators according to ultrasound elastography, the presence of a cyst in the uterine scar area, the expression of receptors for progesterone and estradiol in the endometrial glands, the expression of CD20 cells and CD138 cells. plasma cells according to an immunohistochemical study of the endometrium.

Conclusion. Understanding the main reasons for the formation of a scar defect and the risk factors for its recurrence will make it possible to more accurately predict the outcomes of laparoscopic metroplasty and choose the most appropriate treatment tactics for each specific patient, which, in turn, can improve the overall treatment results and the quality of life of women
The role of herpesviruses in endometrial pathology: frequency of herpesvirus DNA detection in the endometrium, cervix and vagina in patients with chronic endometritis and endometrial hyperplasia
Authors: Simarzina V. M. , Kornilov D. O. , Zornikov D. L. , Islamidi D. K. , Plotko E. E. , Voroshilina E. S.
Published: October 2024

Introduction. Chronic endometritis (CE) is reported in 12% of patients with primary infertility. Herpesviruses are considered as one of the causes of CE.

The aim of the study. To evaluate the frequency of herpesviruses DNA detection in endometrium, cervix and vagina in patients with chronic endometritis and endometrial hyperplasia.

Materials and methods. 167 women of reproductive age were included in the study. Samples from the posterolateral wall of the vagina, cervix and endometrium were taken from each patient. The obtained samples were analyzed by real-time PCR for the presence of Herpes simplex viruses type 1 and 2 (HPV 1,2), Epstein-Barr virus (EBV), Cytomegalovirus (CMV) and Human herpesvirus type 6 (HHV6). Endometrial tissue was subjected to morphologic examination.

Results. Depending on the morphology of endometrial biopsy, all patients were divided into three groups: with CE (N=53), with endometrial hyperplasia (EH, N=63), with normal endometrium (N=51). There were no statistically significant differences in the frequency of herpesvirus detection in endometrial, cervical, and vaginal samples. In endometrial samples, EBV was detected in 1 (1.9%) patient with CE (1.9%) and 1 (1.6%) patient with EH, HPV1,2 — in 1 (2%) woman with normal endometrial histology; DNA of other herpesviruses was not detected.

Conclusions. The relationship between herpesvirus type, positive locus and the presence of endometrial pathology has not been established. The frequency of herpesvirus DNA detection in endometrial, cervical, and vaginal samples was not significantly different between the groups of women with CE, EH, and normal endometrial histology. Only 2 (1.7%) of endometrial samples with pathologic morphology were positive for DNA of herpesviruses, in both cases it was EBV.
Comparative Analysis of Gender Bias in Text-Based and Audio-Based NLP Models: Insights from Asian Linguistic and Cultural Contexts
Authors: Pallapothu Anika
Published: October 2024

This study examines gender biases in Natural Language Processing (NLP) models, focusing on text-based and audio-based systems within Asian linguistic and cultural contexts. It highlights how gender roles and cultural norms in Asian backgrounds influence these biases, using examples like Google Translate, Siri, and Alexa. The research focuses on analyzing datasets that reflect Asian languages and cultural norms, examining how gender roles, stereotypes, and historical patterns manifest in NLP models. The study employed comprehensive strategies, including analyzing word embeddings and model outputs. This helps identify stereotypes linking gender to certain professional traits, particularly in text-based models. It also examines the performance of audio-based NLP models in speech recognition, voice commands, and interpretation, highlighting accuracy issues, especially for profiles that deviate from standard demographics in the training data. The study analyzes word embeddings and model outputs to identify gender-related stereotypes in professional traits, highlighting persistent biases, especially in speech recognition models with lower accuracy for non-standard demographics. The findings suggest the need for strategies to curb biases and ensure equitable NLP outcomes that promote inclusion and diversity among users. The research is vital for NLP developers, scholars, and AI teams, as it explores text- and audio-based models, revealing findings that help reduce biases and promote equity in AI language systems.
The Correlation Between the Development of Renewable Energy, Non-Renewable Energy, and Economic Growth in Taiwan
Authors: Yeh Justin
Published: October 2024

This paper aims to explore the correlation between the development of renewable energy and economic growth in Taiwan along with the correlation between the development of non-renewable energy and economic growth. I analyzed Taiwan’s current energy situation and understand the energy problems that Taiwan faces, and discussed policies that impact Taiwan’s economy, energy production, and consumption. I found that Taiwan could achieve stronger GDP growth through increased employment, investments, consumer spending, and technological advancements of renewable energy production rather than non-renewable energy production. I found a correlation of 0.902 between Taiwan’s GDP and renewable energy production, as opposed to a correlation of -0.0655 between nonrenewable energy production and Taiwan’s GDP. This high correlation between the production of renewable energy and GDP growth in Taiwan confirms that the nation should increase its investment in renewable energy production rather than non-renewable energy production. By comprehending the current situations and current policies, this paper attempts to provide an explanation of Taiwan’s energy issues, assist future energy policymakers, bring awareness to Taiwan’s energy development, promote sustainability goals, and provide a general background of Taiwan’s energy development. This paper also aims to provide well-rounded research to help investors make informed decisions about renewable energy.
Tópicos de física moderna e contemporânea para o ensino médio
Authors: Morais Rincoski Cristóvão Renato
Published: October 2024

Como professor de Física no Ensino Médio Técnico Integrado da UTFPR, enfrento o desafio de ensinar Física Moderna. Adotei três premissas: primeiro, abordar a Teoria da Relatividade Restrita de Einstein a partir da Invariância das Equações de Maxwell, introduzindo o eletromagnetismo. Segundo, incluir a discussão sobre Referenciais Inerciais e Não-Inerciais, abrangendo Mecânica Clássica e Relatividade Geral, para maior clareza. Terceiro, priorizo a precisão conceitual sem simplificar demais, mantendo a correção física.
К вопросу о публичности региональной правовой политики в правозащитной сфере
Authors: Н.С. Татаренко
Published: October 2024

В статье анализируется одно из политико-правовых свойств региональной правовой политики, определяющее характер взаимодействия органов государственной власти субъектов Российской Федерации с институтами гражданского общества при ее создании и реализации. По мнению автора, публичность региональной правовой политики в области защиты прав человека и гражданина отражается в субъектном составе проводимой организационной деятельности по формированию и осуществлению данной пра- вовой политики (органы публичной власти, институты гражданского общества); официальном характере правовых документов, оформляющих соответствующую деятельность; наличии материально-технических средств и организационно-правовых механизмов, позволяющих гражданам, многообразным институтам гражданского общества непосредственно ознакомиться с их содержанием; легитимных каналах связи между органами публичной власти и институтами гражданского общества.

The article analyzes one of the political and legal properties of regional legal policy, which determines the nature of the interaction of state authorities of the constituent entities of the Russian Federation with civil society institutions during its creation and implementation. According to the author, the publicity of the regional legal policy in the field of protection of human and civil rights is reflected in the subject composition of the ongoing organizational activities for the formation and implementation of this legal policy (public authorities, civil society institutions); the official nature of the legal documents formalizing the relevant activities; availability of material and technical means and organizational and legal mechanisms that provide citizens, various institutions of civil society with direct familiarization with their content; legitimate channels of communication between public authorities and civil society institutions.
CULTURA, EDUCAÇÃO E ARTE PARA CRIANÇAS: FORMAÇÃO DE CIDADÃOS
Authors: Rios Amanda , Nogueira Francielle Câmara , Araújo Marcela , Pereira Carlos Alberto
Published: October 2024

O projeto, há 14 anos, integra comunidade acadêmica, professores, alunos e sociedade por meio de oficinas de arte cantaria e atividades semanais de ensino com crianças. Em 2014, vinte alunos de três escolas públicas de Ouro Preto, com média de idade de onze anos, selecionados pelas próprias instituições no início do ano letivo para participarem do projeto. As atividades foram ministradas por graduandos de história, engenharia de minas, ciências do alimento, no Departamento de Engenharia de Minas, campus UFOP, às terças e quintas-feiras, com duração de duas horas cada. Paralelamente às escolas, o projeto teve como objetivo proporcionar um contato das crianças com o mundo, desconhecido por muitos, da Universidade e despertar nelas a vontade pela construção do conhecimento. O projeto ofereceu também aos participantes reforço escolar, aulas de leitura, escrita e interpretação, contribuindo para alfabetização e melhoria no desempenho escolar. A interação com os alunos de escolas públicas da região trouxe à tona os diversos problemas e soluções enfrentados pelos educadores e famílias. Tal interação expôs ainda outra dificuldade enfrentada na educação brasileira, mas, dessa vez pelos bolsistas e membros do projeto. Os resultados foram: humanização das relações em âmbitos acadêmicos, formação de profissionais com consciência cidadã, melhoria no desempenho escolar das crianças, divulgação do patrimônio material de Ouro Preto.
EMPREENDEDORISMO SOCIAL EM PROJETOS DE EXTENSÃO UNIVERSITÁRIA: ESTUDO DE CASO – ANÁLISE DAS ETAPAS DE ELABORAÇÃO DO PROJETO DA CÁTEDRA UNESCO PARA O PRÊMIO SANTANDER UNIVERSIDADE SOLIDÁRIA 2013
Authors: Guarda Vera Lúcia de Miranda , Moura Fábio Viana de
Published: October 2024

A extensão universitária, juntamente com o ensino e a pesquisa, compõe os pilares de sustentação da universidade brasileira. Seu desenvolvimento ganhou impulsos a partir do momento que deixou de ser assistencialista e passou a empregar os conceitos de empreendedorismo social em seus projetos e programas. Dentro desse conceito, o presente artigo tem por objetivo analisar as fases de elaboração do projeto de extensão: Desenvolvimento socioeconômico das mulheres de Antônio Pereira e educação ambiental – a organização da produção de sabão artesanal à base de óleo de cozinha usado. Inicialmente, definiram-se os principais constituintes de um projeto. Na sequência, a análise descritiva desse estudo de caso se posiciona nos estágios iniciais de elaboração de um projeto, os quais são considerados etapas críticas. O diagnóstico mostrou uma situação socioeconômica bem complexa no distrito e permitiu investigar as suas causas. A partir desse marco zero, traçou a problemática, utilizando a metodologia da árvore dos problemas/objetivos. A análise ainda insere o projeto no contexto de equidade de gênero, considerando a participação das mulheres. Finalizando, faz uma referência à visita dos organizadores do Prêmio Santander ao local. Conclui-se que o projeto analisado é multidisciplinar, que pode ser considerado como um programa de extensão, mostrando uma interação de mão dupla com a comunidade e que a sua análise poderá contribuir para que outros autores possam ter referências na elaboração de seus projetos.
Acute toxicity evaluation of derivatives of 6-nitro-2H-Benzo[1,4]thiazin-3-one
Authors: Andrade Juliana L. T. de , Sá Nathália D. de , Silva-Barcellos Neila M. , Grabe-Guimarães Andrea , Pitta Ivan R. , Guarda Vera Lúcia de Miranda
Published: October 2024

The synthesis and physico-chemical properties of five derivatives of 6-nitro-2Hbenzo[1,4]thiazin-3-one are described. Alkylation, amination following by benzoylation procedures were used in the molecular modification from that structure, on the positions N(4) and C(6): The derivatives 6-amino-2H-benzo[1,4]thiazin-3-one (BTZ 1R),4-methyl-6-nitro-2H-benzo[1,4]thiazin-3-one (BTZ 2), 6-amino-4-methyl-2H-benzo[1,4]thiazin-3-one (BTZ 2R), N-[4-methyl-3-oxo-3,4-dihydro-2H-benzo[1,4]thiazin-6-yl]-benzamide (BTZ 3) were synthesized and structurally characterized by spectroscopic infrared, mass, 1H-NMR and 13C-NMR. Their Lethal Doses (LD50) and toxic effects were evaluated. LD50 values were determined by probits methods. The LD50 results revealed that methylation at N-4 and the reduction of the nitro group to amine at C(6) resulted in increased toxicity.
A INSERÇÃO SOCIAL COMO FORMA DE PROMOÇÃO DA SAÚDE E DA REDUÇÃO DE DANOS PARA USUÁRIOS DO CENTRO DE ATENÇÃO PSICOSSOCIAL – ÁLCOOL E DROGAS DE OURO PRETO
Authors: Lima Eloisa Helena , Teixeira José Sérgio Lopes Teixeira Lopes , Teixeira José Sérgio Lopes Teixeira Lopes , Oliveira Danilo Corrêa de Oliveira , Oliveira Danilo Corrêa de Oliveira , Rodrigues Ed Maciel Andrade Rodrigues , Rodrigues Ed Maciel Andrade Rodrigues , Rolan Henrique Pires Brozeghini Rolan Henrique Pires Brozeghini , Rolan Henrique Pires Brozeghini Rolan Henrique Pires Brozeghini
Published: October 2024

Neste artigo relatamos a experiência de um trabalho desenvolvido junto ao CAPS-AD do município de Ouro Preto, Minas Gerais. Objetivamos com esse trabalho realizar atividades com o grupo que contemplassem interação social e manifestações de arte contemporânea como forma de estimulação à capacidade reflexiva e de redução de riscos e danos relacionados ao uso abusivo de álcool e outras drogas. Para tal, levantamos os dados das principais substâncias utilizadas pelo grupo e, em seguida, formulamos as atividades, que tomaram como base a metodologia mindfulness associada a excursão realizada ao Instituto Inhotim, na qual o grupo pôde contemplar diversas obras de arte contemporânea. Como avaliação da estratégia de intervenção, alguns usuários relataram resultados positivos da aplicação das metodologias propostas, de forma que passaram a ter maior autonomia sobre o próprio uso de substâncias. Assim, a experiência mostrou-nos os benefícios desse tipo de ação em saúde, e que essa estratégia foi positiva e pode ser uma alternativa terapêutica para a rede de saúde mental.
PROJETO SÉPTICA – EXPERIÊNCIAS EM EXTENSÃO PARA O SANEAMENTO RURAL NA BACIA HIDROGRÁFICA DA CACHOEIRA DO BRUMADO (MARIANA – MG)
Authors: Oliveira Thaíssa Jucá Jardim , Estevam Tamires da Silva , Ribeiro Livia de Andrade , Milagres Natália Ladeira , Duarte Jessica Pereira , Faria Andre de Oliveira , Silvério Rosana Nogueira , Pimenta Julia Teixeira , Neto Joao Batista , Santiago Anibal da Fonseca
Published: October 2024

O Projeto SEPTICA é uma iniciativa dos grupos PET de Engenharia Ambiental e Engenharia Civil da UFOP, cujo objetivo é estudar as condições de saneamento na área rural da bacia hidrográfica da Cachoeira do Brumado e elaborar, em conjunto com a comunidade local, estratégias para solucionar os problemas de saneamento na região. Sua metodologia é dividida em quatro partes: monitoramento da qualidade da água da bacia; diagnóstico das condições de saneamento no local; educação ambiental voltada para o saneamento; estudo e divulgação de tecnologias sociais para o tratamento de esgoto. Os resultados apontaram que os corpos d’água da bacia apresentam índice de qualidade da água (IQA) médio, com exceção de dois pontos críticos, localizados no córrego Água Limpa e na Cachoeira do Brumado. Notou-se que 66% dos moradores não tem acesso a serviços públicos de abastecimento de água e que a maior parte da população despeja seus efluentes diretamente nos córregos da região. Quanto às ações de educação ambiental e às reuniões com a comunidade local, estas foram de extrema importância para dar visibilidade aos problemas socioambientais da bacia e deram base para a mobilização social em prol da resolução destes problemas.
A grande roda da saúde coletiva: cuidado, acolhimento e saúde mental em Ouro Preto / MG
Authors: Assis Aisllan Diego , De Almeida Prado Isabel Cristina
Published: October 2024

O objetivo do trabalho é apresentar os resultados do programa de extensão “A Grande Roda da Saúde Coletiva” da Universidade Federal de Ouro Preto (UFOP). O programa é realizado desde 2019 e tem por objetivo apoiar a Rede Intersetorial de Saúde Mental e Atenção Psicossocial do município. Está estruturado em quatro projetos estratégicos: os cursos de extensão 1) Saúde Mental, Direitos Humanos e Atenção Psicossocial; 2) Abordagens do suicídio: cuidado, acolhimento e prevenção; 3) o Grupo de Acolhimento; e 4) a Comunidade de Fala, sendo que suas atividades adotam as práticas integrativas e complementares em saúde (PIC´s) e as rodas como técnica grupal. O programa já realizou mais de mil atendimentos no Grupo de Acolhimento, formou 150 pessoas nos cursos de extensão, que por meio de usas conferências públicas, alcançaram mais de 1000 pessoas. Em 2020, foi criado o grupo de acolhimento virtual para os profissionais de saúde, a comunidade de fala para usuários da saúde mental e os cursos de extensão serão oferecidos na modalidade à distância, como formas de acolhimento e educação durante a pandemia da COVID -19. Assim, A Grande Roda da Saúde Coletiva segue girando e criando novas formas de cuidado e acolhimento na cidade.
Diagnóstico ambiental: Uma análise da qualidade da água da bacia hidrográfica córrego do Falcão, comunidade da Chapada – Ouro Preto, MG
Authors: Batista Janine Trindade Pereira de Paula , Luan Soares da Costa  , Lima Lívia Bastos de , Santiago Aníbal da Fonseca
Published: October 2024

O estudo em questão trata da qualidade das águas em um subdistrito de Ouro Preto, MinasGerais, tendo como principal objetivo identificar possível interferência em rios, cachoeiras e fontesde água, uma vez que o local atrai muitos turistas por ter belas vistas, cachoeiras exuberantes eoferecer um maior contato com a natureza. Foram realizadas análises de cloro residual livre emáguas de abastecimento, atendendo a solicitações da comunidade que estava com suspeitas de que aconcentração dessa substância estivesse fora dos padrões permitidos. Por meio de bases de dadoscartográficas da região e contato com moradores da localidade, estabeleceram-se cinco pontosamostrais em águas superficiais e quatro na água potável distribuída. As amostras passaram poranálises in loco e laboratoriais. Os resultados obtidos foram satisfatórios, quando comparados com alegislação vigente no estado de Minas Gerais. Os valores do Índice de Qualidade das Águas (IQA)das amostras de águas superficiais variaram de bom a excelente, o que significa que são apropriadaspara tratamento convencional visando abastecimento público. Nenhuma delas, porém, pode serutilizada para consumo humano sem o tratamento prévio, devido a presença de Escherichia coli.Todas as amostras avaliadas em relação à concentração de cloro residual livre apresentaram valoresinferiores ao máximo de referência permitido.
Análise do contexto normativo e da gestão de resíduos de construção civil em âmbito federal e no estado de MG
Authors: Mattos Edgard Souza , Vieira Paulo de Castro , Guarda Vera Lúcia de Miranda
Published: October 2024

Resíduos de Construção e Demolição (RCD) são entulhos de obras, cujo reaproveitamento ainda é muito baixo no Brasil, apesar do potencial de valor agregado, com práticas e aplicações consolidadas, normas e legislações específicas. A fim de se entender o cenário, realizou-se uma pesquisa bibliográfica em sites oficiais dos órgãos públicos (Federal e Estadual), ABNT e nas plataformas digitais Google Acadêmico; Scielo, Linkedin, SlideShare e MinhaBiblioteca, no período de 1999-2020. Com base nestas bibliografias, foi apresentada uma fotografia atual do Brasil e a que nível vem se desenvolvendo ante às questões dos RCD. Observou-se também uma crescente significativa nos trabalhos publicados, ano a ano, com exceção em 2020, o que sugere a Pandemia do Corona Vírus como causa. A análise dos resultados fornece subsídios para entender as condições e a que passos a gestão dos RCD avança no Brasil. Identificou-se que as causas não estão relacionadas apenas a falta ou qualidade das normativas, mas sim ao desconhecimento, despreparo e/ou negligência do gestor público ou da iniciativa privada que não vê no RCD uma solução socioeconômica e ambiental viável.